From 6f43c07c6db4e8e4512839e2597fb8b0f42546a7 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 11:04:06 +1100
Subject: [PATCH 01/32] Add empty test and update GH actions

---
 .github/CONTRIBUTING.md             | 13 +++++-
 .github/workflows/pr.yml            | 48 --------------------
 .github/workflows/publish.yaml      | 29 ++++++++++++
 .github/workflows/pull_request.yaml | 37 ++++++++++++++++
 .github/workflows/push.yml          | 69 -----------------------------
 .github/workflows/versioning.yaml   | 36 +++++++++++++++
 Makefile                            |  3 ++
 changelog_entry.yaml                |  4 ++
 tests/test_package.py               |  2 +
 9 files changed, 123 insertions(+), 118 deletions(-)
 delete mode 100644 .github/workflows/pr.yml
 create mode 100644 .github/workflows/publish.yaml
 create mode 100644 .github/workflows/pull_request.yaml
 delete mode 100644 .github/workflows/push.yml
 create mode 100644 .github/workflows/versioning.yaml
 create mode 100644 tests/test_package.py

diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md
index e28c6a8f..2bc52164 100644
--- a/.github/CONTRIBUTING.md
+++ b/.github/CONTRIBUTING.md
@@ -1,3 +1,14 @@
 ## Updating the versioning
 
-Please add to `changelog.yaml` and then run `make changelog` before committing the results ONCE in this PR.
+Please add to `changelog_entry.yaml` an entry in the format:
+
+```yaml
+- bump: minor
+  changes:
+    added:
+    - New feature.
+    fixed:
+    - Bug fix.
+    changed:
+    - Change.
+```
diff --git a/.github/workflows/pr.yml b/.github/workflows/pr.yml
deleted file mode 100644
index 28fd3178..00000000
--- a/.github/workflows/pr.yml
+++ /dev/null
@@ -1,48 +0,0 @@
-name: Pull request
-on:
-  pull_request:
-    branches: [ main ]
-
-jobs:
-  Lint:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - name: Check formatting
-        uses: "lgeiger/black-action@master"
-        with:
-          args: ". -l 79 --check"
-  Test:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repo
-        uses: actions/checkout@v2
-
-      - name: Set up Python
-        uses: actions/setup-python@v2
-        with:
-          python-version: '3.10'
-        
-      - name: Install package
-        run: make install
-      
-      - name: Install dependencies
-        run: |
-          pip install jupyter-book
-          pip install furo
-          pip install sphinx-argparse
-      
-      - name: Generate documentation
-        run: make documentation
-        env:
-          HUGGING_FACE_TOKEN: ${{ secrets.HUGGING_FACE_TOKEN }}
-
-      - name: Check documentation build
-        run: |
-          for notebook in $(find docs/_build/jupyter_execute -name "*.ipynb"); do
-            if grep -q '"output_type": "error"' "$notebook"; then
-              echo "Error found in $notebook"
-              cat "$notebook"
-              exit 1
-            fi
-          done
diff --git a/.github/workflows/publish.yaml b/.github/workflows/publish.yaml
new file mode 100644
index 00000000..661a042f
--- /dev/null
+++ b/.github/workflows/publish.yaml
@@ -0,0 +1,29 @@
+name: Push
+on:
+  push:
+    branches: [ main ]
+    paths:
+        - pyproject.toml
+
+jobs:
+  Publish:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repo
+        uses: actions/checkout@v4
+      - name: Setup Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: 3.12
+      - name: Publish a git tag
+        run: ".github/publish-git-tag.sh || true"
+      - name: Install package
+        run: make install
+      - name: Build package
+        run: make
+      - name: Publish a Python distribution to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          user: __token__
+          password: ${{ secrets.PYPI }}
+          skip-existing: true
\ No newline at end of file
diff --git a/.github/workflows/pull_request.yaml b/.github/workflows/pull_request.yaml
new file mode 100644
index 00000000..880ebfeb
--- /dev/null
+++ b/.github/workflows/pull_request.yaml
@@ -0,0 +1,37 @@
+# Workflow that runs on code changes to a pull request.
+
+name: Code changes
+on:
+    pull_request:
+        branches:
+            - main
+
+        paths:
+            - policyengine/
+            - tests/
+
+jobs:
+    Lint:
+        runs-on: ubuntu-latest
+        steps:
+            - uses: actions/checkout@v4
+            - name: Check formatting
+              uses: "lgeiger/black-action@master"
+              with:
+                  args: ". -l 79 --check"
+    Test:
+        runs-on: ubuntu-latest
+        steps:
+            - name: Checkout repo
+              uses: actions/checkout@v2
+
+            - name: Set up Python
+              uses: actions/setup-python@v2
+              with:
+                  python-version: '3.10'
+                
+            - name: Install package
+              run: make install
+            
+            - name: Run tests
+              run: make test
\ No newline at end of file
diff --git a/.github/workflows/push.yml b/.github/workflows/push.yml
deleted file mode 100644
index ad3119f4..00000000
--- a/.github/workflows/push.yml
+++ /dev/null
@@ -1,69 +0,0 @@
-name: Push
-on:
-  push:
-    branches: [ main ]
-
-jobs:
-  Lint:
-    runs-on: ubuntu-latest
-    if: |
-      (github.repository == 'PolicyEngine/policyengine-us')
-      && (github.event.head_commit.message == 'Update PolicyEngine US')
-    steps:
-      - uses: actions/checkout@v4
-      - name: Check formatting
-        uses: "lgeiger/black-action@master"
-        with:
-          args: ". -l 79 --check"
-  Publish:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repo
-        uses: actions/checkout@v4
-      - name: Setup Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: 3.12
-      - name: Publish a git tag
-        run: ".github/publish-git-tag.sh || true"
-      - name: Install package
-        run: make install
-      - name: Build package
-        run: make
-      - name: Publish a Python distribution to PyPI
-        uses: pypa/gh-action-pypi-publish@release/v1
-        with:
-          user: __token__
-          password: ${{ secrets.PYPI }}
-          skip-existing: true
-  Deploy:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repo
-        uses: actions/checkout@v2
-
-      - name: Setup Python
-        uses: actions/setup-python@v2
-        with:
-          python-version: '3.10'
-        
-      - name: Install package
-        run: make install
-      
-      - name: Install dependencies
-        run: |
-          pip install jupyter-book
-          pip install furo
-          pip install sphinx-argparse
-
-      - name: Generate documentation
-        run: make documentation
-        env:
-          HUGGING_FACE_TOKEN: ${{ secrets.HUGGING_FACE_TOKEN }}
-
-      - name: Deploy documentation
-        uses: JamesIves/github-pages-deploy-action@releases/v3
-        with:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          BRANCH: gh-pages
-          FOLDER: docs/_build/html
\ No newline at end of file
diff --git a/.github/workflows/versioning.yaml b/.github/workflows/versioning.yaml
new file mode 100644
index 00000000..fbd1daf7
--- /dev/null
+++ b/.github/workflows/versioning.yaml
@@ -0,0 +1,36 @@
+# Workflow that runs on versioning metadata updates.
+
+name: Versioning updates
+on:
+    pull_request:
+        branches:
+            - main
+
+        paths:
+            - changelog_entry.yaml
+
+jobs:
+    Versioning:
+        runs-on: ubuntu-latest
+        steps:
+            - name: Checkout repo
+              uses: actions/checkout@v4
+              with:
+                repository: ${{ github.event.pull_request.head.repo.full_name }}
+                ref: ${{ github.event.pull_request.head.ref }}
+                token: ${{ secrets.POLICYENGINE_GITHUB }}
+            - name: Setup Python
+              uses: actions/setup-python@v5
+              with:
+                python-version: 3.12
+            - name: Build changelog
+              run: pip install yaml-changelog && make changelog
+            - name: Preview changelog update
+              run: ".github/get-changelog-diff.sh"
+            - name: Update changelog
+              uses: EndBug/add-and-commit@v9
+              with:
+                add: "."
+                committer_name: Github Actions[bot]
+                author_name: Github Actions[bot]
+                message: Update PolicyEngine US
\ No newline at end of file
diff --git a/Makefile b/Makefile
index c6c87d36..c1b795b7 100644
--- a/Makefile
+++ b/Makefile
@@ -19,3 +19,6 @@ changelog:
 
 build:
 	python -m build
+
+test:
+	pytest tests
\ No newline at end of file
diff --git a/changelog_entry.yaml b/changelog_entry.yaml
index e69de29b..658d7178 100644
--- a/changelog_entry.yaml
+++ b/changelog_entry.yaml
@@ -0,0 +1,4 @@
+- bump: minor
+  changes:
+    changed:
+    - Moved to strong typing.
diff --git a/tests/test_package.py b/tests/test_package.py
new file mode 100644
index 00000000..eb706cfd
--- /dev/null
+++ b/tests/test_package.py
@@ -0,0 +1,2 @@
+def test_this():
+    assert True

From 132bcda6599221e86a991dd553b6a49b60356fcc Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 11:07:53 +1100
Subject: [PATCH 02/32] Update versioning

---
 .github/workflows/versioning.yaml | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/.github/workflows/versioning.yaml b/.github/workflows/versioning.yaml
index fbd1daf7..4d83a166 100644
--- a/.github/workflows/versioning.yaml
+++ b/.github/workflows/versioning.yaml
@@ -31,6 +31,4 @@ jobs:
               uses: EndBug/add-and-commit@v9
               with:
                 add: "."
-                committer_name: Github Actions[bot]
-                author_name: Github Actions[bot]
-                message: Update PolicyEngine US
\ No newline at end of file
+                message: Update package version
\ No newline at end of file

From 30e3ade7285bbfcf2459822f583ed545ba43bbcf Mon Sep 17 00:00:00 2001
From: nikhilwoodruff <nikhilwoodruff@users.noreply.github.com>
Date: Fri, 24 Jan 2025 00:08:27 +0000
Subject: [PATCH 03/32] Update package version

---
 CHANGELOG.md         | 7 +++++++
 changelog.yaml       | 5 +++++
 changelog_entry.yaml | 4 ----
 pyproject.toml       | 2 +-
 4 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index b6f8f2a4..5e4c81b6 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,6 +5,12 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), 
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [2.5.0] - 2025-01-24 00:08:26
+
+### Changed
+
+- Moved to strong typing.
+
 ## [2.4.1] - 2025-01-09 10:52:28
 
 ### Fixed
@@ -70,6 +76,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 
 
+[2.5.0]: https://github.com/PolicyEngine/policyengine.py/compare/2.4.1...2.5.0
 [2.4.1]: https://github.com/PolicyEngine/policyengine.py/compare/2.4.0...2.4.1
 [2.4.0]: https://github.com/PolicyEngine/policyengine.py/compare/2.3.0...2.4.0
 [2.3.0]: https://github.com/PolicyEngine/policyengine.py/compare/2.2.2...2.3.0
diff --git a/changelog.yaml b/changelog.yaml
index 38ab0d20..4ee02bf8 100644
--- a/changelog.yaml
+++ b/changelog.yaml
@@ -52,3 +52,8 @@
     fixed:
     - Subsetting bug with time periods.
   date: 2025-01-09 10:52:28
+- bump: minor
+  changes:
+    changed:
+    - Moved to strong typing.
+  date: 2025-01-24 00:08:26
diff --git a/changelog_entry.yaml b/changelog_entry.yaml
index 658d7178..e69de29b 100644
--- a/changelog_entry.yaml
+++ b/changelog_entry.yaml
@@ -1,4 +0,0 @@
-- bump: minor
-  changes:
-    changed:
-    - Moved to strong typing.
diff --git a/pyproject.toml b/pyproject.toml
index f3cef826..59483379 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "policyengine"
-version = "2.4.1"
+version = "2.5.0"
 description = "A package to conduct policy analysis using PolicyEngine tax-benefit models."
 readme = "README.md"
 authors = [

From b7ee9bee1ca4c2b2491e0ea19be30b33c665947a Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 11:35:36 +1100
Subject: [PATCH 04/32] Move to python functions (standardised)

---
 .../macro/comparison/budget/__init__.py       |   1 +
 .../macro/comparison/budget/breakdown.py      |   5 +-
 .../outputs/macro/comparison/budget/budget.py |  15 ++
 .../macro/comparison/budget/general.py        |   9 +-
 .../macro/comparison/budget/programs.py       |   9 +-
 .../outputs/macro/comparison/budget/window.py |  11 +-
 .../outputs/macro/comparison/comparison.py    |  11 ++
 .../macro/comparison/decile/__init__.py       |   1 +
 .../outputs/macro/comparison/decile/decile.py |  11 ++
 .../outputs/macro/comparison/decile/income.py |   9 +-
 .../outputs/macro/comparison/decile/wealth.py |   9 +-
 policyengine/outputs/macro/single/__init__.py |   1 +
 .../outputs/macro/single/gov/__init__.py      |   1 +
 .../outputs/macro/single/gov/balance.py       |   2 +-
 .../outputs/macro/single/gov/budget_window.py |   2 +-
 policyengine/outputs/macro/single/gov/gov.py  |  15 ++
 .../macro/single/gov/local_areas/__init__.py  |   1 +
 .../single/gov/local_areas/local_areas.py     |  15 ++
 .../gov/local_areas/local_authorities.py      |   5 +-
 .../parliamentary_constituencies.py           |   2 +-
 .../outputs/macro/single/gov/programs.py      |   2 +-
 .../macro/single/household/__init__.py        |   1 +
 .../macro/single/household/demographics.py    |   2 +-
 .../outputs/macro/single/household/finance.py |   2 +-
 .../macro/single/household/household.py       |  17 ++
 .../single/household/income_distribution.py   |   3 +-
 .../macro/single/household/inequality.py      |   2 +-
 .../macro/single/household/labor_supply.py    |   2 +-
 policyengine/outputs/macro/single/single.py   |  11 ++
 policyengine/simulation.py                    | 171 +-----------------
 30 files changed, 146 insertions(+), 202 deletions(-)
 create mode 100644 policyengine/outputs/macro/comparison/budget/__init__.py
 create mode 100644 policyengine/outputs/macro/comparison/budget/budget.py
 create mode 100644 policyengine/outputs/macro/comparison/comparison.py
 create mode 100644 policyengine/outputs/macro/comparison/decile/__init__.py
 create mode 100644 policyengine/outputs/macro/comparison/decile/decile.py
 create mode 100644 policyengine/outputs/macro/single/__init__.py
 create mode 100644 policyengine/outputs/macro/single/gov/__init__.py
 create mode 100644 policyengine/outputs/macro/single/gov/gov.py
 create mode 100644 policyengine/outputs/macro/single/gov/local_areas/__init__.py
 create mode 100644 policyengine/outputs/macro/single/gov/local_areas/local_areas.py
 create mode 100644 policyengine/outputs/macro/single/household/__init__.py
 create mode 100644 policyengine/outputs/macro/single/household/household.py
 create mode 100644 policyengine/outputs/macro/single/single.py

diff --git a/policyengine/outputs/macro/comparison/budget/__init__.py b/policyengine/outputs/macro/comparison/budget/__init__.py
new file mode 100644
index 00000000..d598215b
--- /dev/null
+++ b/policyengine/outputs/macro/comparison/budget/__init__.py
@@ -0,0 +1 @@
+from .budget import calculate_budget_comparison
diff --git a/policyengine/outputs/macro/comparison/budget/breakdown.py b/policyengine/outputs/macro/comparison/budget/breakdown.py
index 6f463b74..31c0db92 100644
--- a/policyengine/outputs/macro/comparison/budget/breakdown.py
+++ b/policyengine/outputs/macro/comparison/budget/breakdown.py
@@ -1,9 +1,10 @@
 from policyengine import Simulation
 from typing import List
 import pandas as pd
+from policyengine.outputs.macro.comparison.budget.general import calculate_general_budget
 
 
-def breakdown(
+def calculate_provision_breakdown_comparison(
     simulation: Simulation,
     provisions: List[dict] | None = None,
     provision_names: List[str] | None = None,
@@ -45,7 +46,7 @@ def breakdown(
                 options=options,
                 data=simulation.data,
             )
-            budget = sim.calculate("macro/comparison/budget/general")[
+            budget = calculate_general_budget(sim)[
                 "budgetary_impact"
             ]
             key_focus = provision_names[i]
diff --git a/policyengine/outputs/macro/comparison/budget/budget.py b/policyengine/outputs/macro/comparison/budget/budget.py
new file mode 100644
index 00000000..1ef2f6f4
--- /dev/null
+++ b/policyengine/outputs/macro/comparison/budget/budget.py
@@ -0,0 +1,15 @@
+from policyengine import Simulation
+from .breakdown import calculate_provision_breakdown_comparison
+from .general import calculate_general_budget_comparison
+from .window import calculate_budget_window_comparison
+from .programs import calculate_program_comparison
+
+def calculate_budget_comparison(
+    simulation: Simulation,
+) -> dict:    
+    return {
+        "breakdown": calculate_provision_breakdown_comparison(simulation),
+        "general": calculate_general_budget_comparison(simulation),
+        "window": calculate_budget_window_comparison(simulation),
+        "programs": calculate_program_comparison(simulation
+    }
\ No newline at end of file
diff --git a/policyengine/outputs/macro/comparison/budget/general.py b/policyengine/outputs/macro/comparison/budget/general.py
index c998661d..b9bc7bd1 100644
--- a/policyengine/outputs/macro/comparison/budget/general.py
+++ b/policyengine/outputs/macro/comparison/budget/general.py
@@ -3,9 +3,10 @@
 import plotly.express as px
 import pandas as pd
 from policyengine.utils.charts import *
+from policyengine.outputs.macro.single.gov.balance import calculate_balance
 
 
-def general(simulation: Simulation, chart: bool = False):
+def calculate_general_budget_comparison(simulation: Simulation, chart: bool = False):
     """Calculate the budgetary impact of the given simulation.
 
     Args:
@@ -20,8 +21,10 @@ def general(simulation: Simulation, chart: bool = False):
             - households (int): The number of households.
             - baseline_net_income (float): The total net income in the baseline scenario.
     """
-    baseline = simulation.calculate("macro/baseline")
-    reform = simulation.calculate("macro/reform")
+    simulation.selected_sim = simulation.baseline_sim
+    baseline = calculate_balance(simulation)
+    simulation.selected_sim = simulation.reformed_sim
+    reform = calculate_balance(simulation)
 
     tax_revenue_impact = (
         reform["gov"]["balance"]["total_tax"]
diff --git a/policyengine/outputs/macro/comparison/budget/programs.py b/policyengine/outputs/macro/comparison/budget/programs.py
index 7d1b9a23..a7941602 100644
--- a/policyengine/outputs/macro/comparison/budget/programs.py
+++ b/policyengine/outputs/macro/comparison/budget/programs.py
@@ -1,7 +1,8 @@
 from policyengine import Simulation
+from policyengine.outputs.macro.single import calculate_single_macro_scenario
 
 
-def programs(simulation: Simulation):
+def calculate_program_comparison(simulation: Simulation):
     """Calculate the detailed budgetary impact of the given simulation.
 
     Args:
@@ -13,8 +14,10 @@ def programs(simulation: Simulation):
             - reform (float): The reform budgetary impact of the program.
             - difference (float): The difference between the reform and baseline budgetary impacts.
     """
-    baseline = simulation.calculate("macro/baseline")
-    reform = simulation.calculate("macro/reform")
+    simulation.selected_sim = simulation.baseline_sim
+    baseline = calculate_single_macro_scenario(simulation)
+    simulation.selected_sim = simulation.reformed_sim
+    reform = calculate_single_macro_scenario(simulation)
     result = {}
     if simulation.country == "uk":
         for program in baseline["gov"]["programs"]:
diff --git a/policyengine/outputs/macro/comparison/budget/window.py b/policyengine/outputs/macro/comparison/budget/window.py
index 40dccfbb..d9807eea 100644
--- a/policyengine/outputs/macro/comparison/budget/window.py
+++ b/policyengine/outputs/macro/comparison/budget/window.py
@@ -3,9 +3,10 @@
 import plotly.express as px
 import pandas as pd
 from policyengine.utils.charts import *
+from policyengine.outputs.macro.single.gov.budget_window import calculate_budget_window
 
 
-def window(
+def calculate_budget_window_comparison(
     simulation: Simulation,
     chart: bool = False,
     federal_only: bool = False,
@@ -15,10 +16,10 @@ def window(
         kwargs = {}
     else:
         kwargs = {"count_years": count_years}
-    baseline = simulation.calculate(
-        "macro/baseline/gov/budget_window", **kwargs
-    )
-    reform = simulation.calculate("macro/reform/gov/budget_window", **kwargs)
+    simulation.selected_sim = simulation.baseline_sim
+    baseline = calculate_budget_window(simulation, **kwargs)
+    simulation.selected_sim = simulation.reformed_sim
+    reform = calculate_budget_window(simulation, **kwargs)
     total_budget_effect = [
         (y - x)
         for x, y in zip(baseline["total_budget"], reform["total_budget"])
diff --git a/policyengine/outputs/macro/comparison/comparison.py b/policyengine/outputs/macro/comparison/comparison.py
new file mode 100644
index 00000000..dc544a99
--- /dev/null
+++ b/policyengine/outputs/macro/comparison/comparison.py
@@ -0,0 +1,11 @@
+from policyengine import Simulation
+from .budget import calculate_budget_comparison
+from .decile import calculate_decile_comparison
+
+def calculate_budget_comparison(
+    simulation: Simulation,
+) -> dict:    
+    return {
+        "budget": calculate_budget_comparison(simulation),
+        "decile": calculate_decile_comparison(simulation)
+    }
\ No newline at end of file
diff --git a/policyengine/outputs/macro/comparison/decile/__init__.py b/policyengine/outputs/macro/comparison/decile/__init__.py
new file mode 100644
index 00000000..48be4ab1
--- /dev/null
+++ b/policyengine/outputs/macro/comparison/decile/__init__.py
@@ -0,0 +1 @@
+from .decile import calculate_decile_comparison
diff --git a/policyengine/outputs/macro/comparison/decile/decile.py b/policyengine/outputs/macro/comparison/decile/decile.py
new file mode 100644
index 00000000..f0478e1c
--- /dev/null
+++ b/policyengine/outputs/macro/comparison/decile/decile.py
@@ -0,0 +1,11 @@
+from policyengine import Simulation
+from .income import calculate_income_decile_comparison
+from .wealth import calculate_wealth_decile_comparison
+
+def calculate_decile_comparison(
+    simulation: Simulation,
+) -> dict:    
+    return {
+        "income": calculate_income_decile_comparison(simulation),
+        "wealth": calculate_wealth_decile_comparison(simulation),
+    }
\ No newline at end of file
diff --git a/policyengine/outputs/macro/comparison/decile/income.py b/policyengine/outputs/macro/comparison/decile/income.py
index d4476a1b..bb265049 100644
--- a/policyengine/outputs/macro/comparison/decile/income.py
+++ b/policyengine/outputs/macro/comparison/decile/income.py
@@ -1,8 +1,9 @@
 from policyengine import Simulation
 from microdf import MicroSeries
+from ...single import calculate_single_macro_scenario
 
 
-def income(simulation: Simulation):
+def calculate_income_decile_comparison(simulation: Simulation):
     """Calculate the impact of the reform on income deciles.
 
     Args:
@@ -13,8 +14,10 @@ def income(simulation: Simulation):
             - relative (dict): A dictionary with keys representing deciles and values as relative income changes.
             - average (dict): A dictionary with keys representing deciles and values as average income changes.
     """
-    baseline = simulation.calculate("macro/baseline")
-    reform = simulation.calculate("macro/reform")
+    simulation.selected_sim = simulation.baseline_sim
+    baseline = calculate_single_macro_scenario(simulation)
+    simulation.selected_sim = simulation.reformed_sim
+    reform = calculate_single_macro_scenario(simulation)
     baseline["household"]["finance"] = simulation.calculate(
         "macro/baseline/household/finance", include_arrays=True
     )
diff --git a/policyengine/outputs/macro/comparison/decile/wealth.py b/policyengine/outputs/macro/comparison/decile/wealth.py
index b65153cb..5c412e0d 100644
--- a/policyengine/outputs/macro/comparison/decile/wealth.py
+++ b/policyengine/outputs/macro/comparison/decile/wealth.py
@@ -1,8 +1,9 @@
 from policyengine import Simulation
 from microdf import MicroSeries
+from ...single import calculate_single_macro_scenario
 
 
-def wealth(simulation: Simulation):
+def calculate_wealth_decile_comparison(simulation: Simulation):
     """Calculate the impact of the reform on wealth deciles.
 
     Args:
@@ -16,8 +17,10 @@ def wealth(simulation: Simulation):
     if simulation.country != "uk":
         return {}
 
-    baseline = simulation.calculate("macro/baseline")
-    reform = simulation.calculate("macro/reform")
+    simulation.selected_sim = simulation.baseline_sim
+    baseline = calculate_single_macro_scenario(simulation)
+    simulation.selected_sim = simulation.reformed_sim
+    reform = calculate_single_macro_scenario(simulation)
     baseline["household"]["finance"] = simulation.calculate(
         "macro/baseline/household/finance", include_arrays=True
     )
diff --git a/policyengine/outputs/macro/single/__init__.py b/policyengine/outputs/macro/single/__init__.py
new file mode 100644
index 00000000..7d688d07
--- /dev/null
+++ b/policyengine/outputs/macro/single/__init__.py
@@ -0,0 +1 @@
+from .single import calculate_single_macro_scenario
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/gov/__init__.py b/policyengine/outputs/macro/single/gov/__init__.py
new file mode 100644
index 00000000..ce6cd002
--- /dev/null
+++ b/policyengine/outputs/macro/single/gov/__init__.py
@@ -0,0 +1 @@
+from .gov import calculate_gov
diff --git a/policyengine/outputs/macro/single/gov/balance.py b/policyengine/outputs/macro/single/gov/balance.py
index 3bfeb5cc..fb276ff6 100644
--- a/policyengine/outputs/macro/single/gov/balance.py
+++ b/policyengine/outputs/macro/single/gov/balance.py
@@ -1,7 +1,7 @@
 from policyengine import Simulation
 
 
-def balance(simulation: Simulation) -> dict:
+def calculate_balance(simulation: Simulation) -> dict:
     sim = simulation.selected_sim
     if simulation.country == "uk":
         total_tax = sim.calculate("gov_tax").sum()
diff --git a/policyengine/outputs/macro/single/gov/budget_window.py b/policyengine/outputs/macro/single/gov/budget_window.py
index 61c5b5c4..8d2f62b1 100644
--- a/policyengine/outputs/macro/single/gov/budget_window.py
+++ b/policyengine/outputs/macro/single/gov/budget_window.py
@@ -3,7 +3,7 @@
 DEFAULT_COUNT_YEARS = 1
 
 
-def budget_window(simulation: Simulation, count_years: int = None) -> dict:
+def calculate_budget_window(simulation: Simulation, count_years: int = None) -> dict:
     sim = simulation.selected_sim
     current_year = simulation.time_period
     if count_years is not None:
diff --git a/policyengine/outputs/macro/single/gov/gov.py b/policyengine/outputs/macro/single/gov/gov.py
new file mode 100644
index 00000000..2b466eab
--- /dev/null
+++ b/policyengine/outputs/macro/single/gov/gov.py
@@ -0,0 +1,15 @@
+from policyengine import Simulation
+from .local_areas import calculate_local_areas
+from .balance import calculate_balance
+from .budget_window import calculate_budget_window
+from .programs import calculate_programs
+
+def calculate_gov(
+    simulation: Simulation,
+) -> dict:    
+    return {
+        "balance": calculate_balance(simulation),
+        "budget_window": calculate_budget_window(simulation),
+        "programs": calculate_programs(simulation),
+        "local_areas": calculate_local_areas(simulation),
+    }
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/gov/local_areas/__init__.py b/policyengine/outputs/macro/single/gov/local_areas/__init__.py
new file mode 100644
index 00000000..2a793b8e
--- /dev/null
+++ b/policyengine/outputs/macro/single/gov/local_areas/__init__.py
@@ -0,0 +1 @@
+from .local_areas import calculate_local_areas
diff --git a/policyengine/outputs/macro/single/gov/local_areas/local_areas.py b/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
new file mode 100644
index 00000000..76f60321
--- /dev/null
+++ b/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
@@ -0,0 +1,15 @@
+from policyengine import Simulation
+from policyengine.outputs.macro.single.gov.local_areas.local_authorities import calculate_local_authorities
+from policyengine.outputs.macro.single.gov.local_areas.parliamentary_constituencies import calculate_parliamentary_constituencies
+
+
+def calculate_local_areas(
+    simulation: Simulation,
+) -> dict:
+    if simulation.country != "uk":
+        return None
+    
+    return {
+        "local_authorities": calculate_local_authorities(simulation),
+        "parliamentary_constituencies": calculate_parliamentary_constituencies(simulation)
+    }
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py b/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
index 009f350b..ed364609 100644
--- a/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
+++ b/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
@@ -8,7 +8,7 @@
 from policyengine.utils.maps import plot_hex_map
 
 
-def local_authorities(
+def calculate_local_authorities(
     simulation: Simulation,
     metric: Callable[[Microsimulation], MicroSeries] = None,
     chart: bool = False,
@@ -25,9 +25,6 @@ def local_authorities(
     Returns:
         dict: A dictionary with the impact of the reform on parliamentary constituencies (keys=constituency names, values=metric values).
     """
-    if not simulation.options.get("include_local_authorities"):
-        return {}
-
     if metric is None:
         metric = lambda sim: sim.calculate("household_net_income").median()
     weights_file_path = download(
diff --git a/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py b/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
index 9761c9c0..e0260dc7 100644
--- a/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
+++ b/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
@@ -8,7 +8,7 @@
 from policyengine.utils.maps import plot_hex_map
 
 
-def parliamentary_constituencies(
+def calculate_parliamentary_constituencies(
     simulation: Simulation,
     metric: Callable[[Microsimulation], MicroSeries] = None,
     chart: bool = False,
diff --git a/policyengine/outputs/macro/single/gov/programs.py b/policyengine/outputs/macro/single/gov/programs.py
index a58f1e24..dc211ab2 100644
--- a/policyengine/outputs/macro/single/gov/programs.py
+++ b/policyengine/outputs/macro/single/gov/programs.py
@@ -24,7 +24,7 @@ class UKPrograms:
     ]
 
 
-def programs(simulation: Simulation) -> dict:
+def calculate_programs(simulation: Simulation) -> dict:
     if simulation.country == "uk":
         return {
             program.name: simulation.selected_sim.calculate(
diff --git a/policyengine/outputs/macro/single/household/__init__.py b/policyengine/outputs/macro/single/household/__init__.py
new file mode 100644
index 00000000..4e4ad369
--- /dev/null
+++ b/policyengine/outputs/macro/single/household/__init__.py
@@ -0,0 +1 @@
+from .household import calculate_household
diff --git a/policyengine/outputs/macro/single/household/demographics.py b/policyengine/outputs/macro/single/household/demographics.py
index 69070ed1..48e12e09 100644
--- a/policyengine/outputs/macro/single/household/demographics.py
+++ b/policyengine/outputs/macro/single/household/demographics.py
@@ -1,7 +1,7 @@
 from policyengine import Simulation
 
 
-def demographics(simulation: Simulation, include_arrays: bool = False) -> dict:
+def calculate_demographics(simulation: Simulation, include_arrays: bool = False) -> dict:
     sim = simulation.selected_sim
     household_count_people = (
         sim.calculate("household_count_people").astype(int).tolist()
diff --git a/policyengine/outputs/macro/single/household/finance.py b/policyengine/outputs/macro/single/household/finance.py
index a26b3a2f..2ff1fe5a 100644
--- a/policyengine/outputs/macro/single/household/finance.py
+++ b/policyengine/outputs/macro/single/household/finance.py
@@ -1,7 +1,7 @@
 from policyengine import Simulation
 
 
-def finance(simulation: Simulation, include_arrays: bool = False) -> dict:
+def calculate_finance(simulation: Simulation, include_arrays: bool = False) -> dict:
     sim = simulation.selected_sim
 
     total_net_income = sim.calculate("household_net_income").sum()
diff --git a/policyengine/outputs/macro/single/household/household.py b/policyengine/outputs/macro/single/household/household.py
new file mode 100644
index 00000000..6e858a8c
--- /dev/null
+++ b/policyengine/outputs/macro/single/household/household.py
@@ -0,0 +1,17 @@
+from policyengine import Simulation
+from .demographics import calculate_demographics
+from .finance import calculate_finance
+from .income_distribution import calculate_income_distribution
+from .inequality import calculate_inequality
+from .labor_supply import calculate_labor_supply
+
+def calculate_household(
+    simulation: Simulation,
+) -> dict:    
+    return {
+        "demographics": calculate_demographics(simulation),
+        "finance": calculate_finance(simulation),
+        "income_distribution": calculate_income_distribution(simulation),
+        "inequality": calculate_inequality(simulation),
+        "labor_supply": calculate_labor_supply(simulation)
+    }
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/household/income_distribution.py b/policyengine/outputs/macro/single/household/income_distribution.py
index af5a9363..39c92e80 100644
--- a/policyengine/outputs/macro/single/household/income_distribution.py
+++ b/policyengine/outputs/macro/single/household/income_distribution.py
@@ -5,7 +5,7 @@
 import pandas as pd
 
 
-def income_distribution(
+def calculate_income_distribution(
     simulation: Simulation,
     chart: bool = False,
     variable: str = "household_net_income",
@@ -29,7 +29,6 @@ def income_distribution(
 
 
 def income_distribution_chart(data: pd.Series) -> go.Figure:
-
     fig = px.bar(
         x=data.index,
         y=data.values,
diff --git a/policyengine/outputs/macro/single/household/inequality.py b/policyengine/outputs/macro/single/household/inequality.py
index 607e9fe7..0da4f8f0 100644
--- a/policyengine/outputs/macro/single/household/inequality.py
+++ b/policyengine/outputs/macro/single/household/inequality.py
@@ -1,7 +1,7 @@
 from policyengine import Simulation
 
 
-def inequality(simulation: Simulation) -> dict:
+def calculate_inequality(simulation: Simulation) -> dict:
     personal_hh_equiv_income = simulation.selected_sim.calculate(
         "equiv_household_net_income"
     )
diff --git a/policyengine/outputs/macro/single/household/labor_supply.py b/policyengine/outputs/macro/single/household/labor_supply.py
index c882acfe..da278ce4 100644
--- a/policyengine/outputs/macro/single/household/labor_supply.py
+++ b/policyengine/outputs/macro/single/household/labor_supply.py
@@ -1,7 +1,7 @@
 from policyengine import Simulation
 
 
-def labor_supply(simulation: Simulation, include_arrays: bool = False) -> dict:
+def calculate_labor_supply(simulation: Simulation, include_arrays: bool = False) -> dict:
     if not simulation.comparison:
         return {}
     sim = simulation.selected_sim
diff --git a/policyengine/outputs/macro/single/single.py b/policyengine/outputs/macro/single/single.py
new file mode 100644
index 00000000..0d6e9904
--- /dev/null
+++ b/policyengine/outputs/macro/single/single.py
@@ -0,0 +1,11 @@
+from policyengine import Simulation
+from .gov import calculate_gov
+from .household import calculate_household
+
+def calculate_single_macro_scenario(
+    simulation: Simulation,
+) -> dict:    
+    return {
+        "gov": calculate_gov(simulation),
+        "household": calculate_household(simulation)
+    }
\ No newline at end of file
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index 9cdfcb1c..73befac2 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -73,8 +73,6 @@ def __init__(
 
         self.comparison = reform is not None
 
-        self.output_functions, self.outputs = self._get_outputs()
-
         self._initialise_simulations()
 
     def _set_dataset(self, dataset: str | dict | None):
@@ -105,168 +103,6 @@ def _set_dataset(self, dataset: str | dict | None):
                 )
                 self.data = Dataset.from_file(self.data, "2023")
 
-    def calculate(self, output: str, force: bool = False, **kwargs) -> Any:
-        """Calculate the given output (path).
-
-        Args:
-            output (str): The output to calculate. Must be a valid path in the output tree.
-            force (bool): Whether to force recalculation of the output, even if it has already been calculated.
-            **kwargs: Any additional arguments to pass to the output function.
-
-        Returns:
-            Any: The output of the calculation (using the cache if possible).
-        """
-        if self.verbose:
-            print(f"Calculating {output}...")
-        if output.endswith("/"):
-            output = output[:-1]
-
-        if output == "":
-            output = self.scope
-
-        node = self.outputs
-
-        for child_key in output.split("/")[:-1]:
-            if child_key not in node:
-                raise KeyError(
-                    f"Output '{child_key}' not found in '{node}'. Available keys are: {list(node.keys())}"
-                )
-            node = node[child_key]
-
-        parent = node
-        child_key = output.split("/")[-1]
-        if parent is None:
-            parent = self.calculate("/".join(output.split("/")[:-1]))
-        if child_key not in parent:
-            try:
-                is_numeric_key = int(child_key) in parent
-            except ValueError:
-                is_numeric_key = False
-            if is_numeric_key:
-                child_key = int(child_key)
-            else:
-                # Maybe you've requested a key that is only available as a dictionary
-                # item in one of the output functions. Let's try to calculate the full output,
-                # then check the result to see if it's there.
-                self.calculate("/".join(output.split("/")[:-1]))
-                if child_key not in parent:
-                    raise KeyError(
-                        f"Output '{child_key}' not found in '{output}'. Available keys are: {list(parent.keys())}"
-                    )
-        node = parent[child_key]
-
-        # Check if any descendants are None
-
-        if (
-            force or parent[child_key] is None or len(kwargs) > 0
-        ) and output in self.output_functions:
-            output_function = self.output_functions[output]
-            node = output_function(self, **kwargs)
-            if len(kwargs) == 0:
-                # Only save as part of the larger tree if no non-standard args are passed
-                parent[child_key] = node
-
-        if isinstance(node, dict) and len(kwargs) == 0:
-            for child_key in node.keys():
-                self.calculate(output + "/" + str(child_key))
-
-        return node
-
-    def _get_outputs(self) -> Tuple[dict, dict]:
-        """Get all the output functions and construct the output tree.
-
-        Returns:
-            Tuple[dict, dict]: A tuple containing the output functions and the output tree.
-        """
-        from pathlib import Path
-        import importlib.util
-
-        output_functions = {}
-        for output in Path(__file__).parent.glob("outputs/**/*.py"):
-            module_name = output.stem
-            spec = importlib.util.spec_from_file_location(module_name, output)
-            if spec is None:
-                raise RuntimeError(
-                    f"Expected to load a spec from file '{output.absolute}'"
-                )
-            module = importlib.util.module_from_spec(spec)
-            relative_path = str(
-                output.relative_to(Path(__file__).parent / "outputs")
-            ).replace(".py", "")
-            if not self.comparison and "/comparison/" in relative_path:
-                # If we're just analysing one scenario, skip loading the comparison modules.
-                continue
-            if f"{self.scope}/" not in relative_path:
-                # Don't load household modules for macro comparisons, etc.
-                continue
-
-            if spec.loader is None:
-                raise RuntimeError(
-                    f"Expected module from '{output.absolute}' to have a loader, but it does not"
-                )
-            spec.loader.exec_module(module)
-
-            # Only import the function with the same name as the module, enforcing one function per file
-            try:
-                output_functions[str(relative_path)] = getattr(
-                    module, module_name
-                )
-            except AttributeError:
-                raise AttributeError(
-                    f"Each module must contain a function with the same name as the module. Module '{str(relative_path)}.py' does not."
-                )
-
-        # If we are just calculating for a single scenario, put all 'macro/single/' children under 'macro/'.
-        # If not, duplicate them into 'macro/baseline/' and 'single/reform'.
-
-        single_keys = [key for key in output_functions if "single/" in key]
-        for key in single_keys:
-            root = key.split("/")[0]
-            rest = "/".join(key.split("/")[2:])
-            func = output_functions[key]
-
-            def passed_reform_simulation(func, is_reform):
-                def adjusted_func(simulation: Simulation, **kwargs):
-                    if is_reform:
-                        simulation.selected_sim = simulation.reformed_sim
-                    else:
-                        simulation.selected_sim = simulation.baseline_sim
-                    return func(simulation, **kwargs)
-
-                adjusted_func.__name__ = func.__name__
-                adjusted_func.__doc__ = func.__doc__
-
-                return adjusted_func
-
-            if self.comparison:
-                output_functions[f"{root}/baseline/{rest}"] = (
-                    passed_reform_simulation(func, False)
-                )
-                output_functions[f"{root}/reform/{rest}"] = (
-                    passed_reform_simulation(func, True)
-                )
-            else:
-                output_functions[f"{root}/{rest}"] = passed_reform_simulation(
-                    func, False
-                )
-
-            del output_functions[key]
-
-        # Construct the output tree, fill with Nones for now
-
-        outputs = {}
-
-        for output_path in output_functions.keys():
-            parts = output_path.split("/")
-            current = outputs
-            for part in parts[:-1]:
-                if part not in current:
-                    current[part] = {}
-                current = current[part]
-            current[parts[-1]] = None
-
-        return output_functions, outputs
-
     def _to_reform(self, value: int | dict):
         if isinstance(value, dict):
             return Reform.from_dict(value, country_id=self.country)
@@ -357,6 +193,8 @@ def _initialise_simulations(self):
             self.reformed_sim.get_branch("baseline").tax_benefit_system = (
                 self.baseline_sim.tax_benefit_system
             )
+        else:
+            self.selected_sim = self.baseline_sim
 
     def _apply_region_to_simulation(
         self,
@@ -422,11 +260,6 @@ def _apply_region_to_simulation(
                 with h5py.File(weights_file_path, "r") as f:
                     weights = f[str(self.time_period)][...]
 
-                print(
-                    weights[constituency_id],
-                    simulation.default_calculation_period,
-                )
-
                 simulation.calculate("household_net_income")
 
                 simulation.set_input(

From 15216d0128b5bc0656ee27066459ee950eaa49c0 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 11:40:51 +1100
Subject: [PATCH 05/32] Update docs

---
 docs/index.ipynb                              |     4 +-
 docs/maintaining.ipynb                        | 36543 ----------------
 docs/reference/calculate.md                   |   608 -
 .../outputs/macro/comparison/__init__.py      |     1 +
 .../macro/comparison/budget/breakdown.py      |     8 +-
 .../outputs/macro/comparison/budget/budget.py |     7 +-
 .../macro/comparison/budget/general.py        |     4 +-
 .../outputs/macro/comparison/budget/window.py |     4 +-
 .../outputs/macro/comparison/comparison.py    |     9 +-
 .../outputs/macro/comparison/decile/decile.py |     5 +-
 policyengine/outputs/macro/single/__init__.py |     2 +-
 .../outputs/macro/single/gov/budget_window.py |     4 +-
 policyengine/outputs/macro/single/gov/gov.py  |     5 +-
 .../single/gov/local_areas/local_areas.py     |    16 +-
 .../macro/single/household/demographics.py    |     4 +-
 .../outputs/macro/single/household/finance.py |     4 +-
 .../macro/single/household/household.py       |     7 +-
 .../macro/single/household/labor_supply.py    |     4 +-
 policyengine/outputs/macro/single/single.py   |     7 +-
 policyengine/simulation.py                    |     7 +
 20 files changed, 67 insertions(+), 37186 deletions(-)
 delete mode 100644 docs/maintaining.ipynb
 delete mode 100644 docs/reference/calculate.md
 create mode 100644 policyengine/outputs/macro/comparison/__init__.py

diff --git a/docs/index.ipynb b/docs/index.ipynb
index 2c32f3af..e350d676 100644
--- a/docs/index.ipynb
+++ b/docs/index.ipynb
@@ -59,7 +59,7 @@
     "        }\n",
     "    }\n",
     ")\n",
-    "sim.calculate(\"household/comparison/net_income_change\")"
+    "sim.calculate_macro_comparison()"
    ]
   },
   {
@@ -97,7 +97,7 @@
     "        }\n",
     "    }\n",
     ")\n",
-    "sim.calculate(\"macro/comparison/budget/general/tax_revenue_impact\")/1e9"
+    "sim.calculate_macro_comparison()"
    ]
   }
  ],
diff --git a/docs/maintaining.ipynb b/docs/maintaining.ipynb
deleted file mode 100644
index d700fef4..00000000
--- a/docs/maintaining.ipynb
+++ /dev/null
@@ -1,36543 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Maintainance\n",
-    "\n",
-    "This package is intended to be simple for users to use, but also for maintainers to maintain (with some kind of maintenance specifically prioritised).\n",
-    "\n",
-    "There are two ways we might want to improve this package:\n",
-    "\n",
-    "1. Adding more 'outputs' (e.g. more types of results from the simulation inputs, using the underlying tax-benefit models).\n",
-    "2. Everything else related to the underlying way that the package uses the models.\n",
-    "\n",
-    "This package is meant to make (1) as easy as possible, which may come at the expense of some ease of maintaining (2).\n",
-    "\n",
-    "## Model outputs\n",
-    "\n",
-    "The package is centered around an 'output tree': a hierarchical nested dictionary of outputs from the model, of the type that the user asked for. For example, if we are doing a macro analysis, we might expect something like:\n",
-    "\n",
-    "```yaml\n",
-    "macro:\n",
-    "    baseline:\n",
-    "        tax_revenue: 100 billion\n",
-    "    reform:\n",
-    "        tax_revenue: 200 billion\n",
-    "    comparison:\n",
-    "        tax_revenue_impact: 100 billion\n",
-    "```\n",
-    "\n",
-    "If you look at the file structure of the repo, you'll see a folder `policyengine/outputs/`. This is where all the behaviour to deal with the models is housed. It's designed so that maintainers should be able to add something new, e.g. `macro/comparison/deep_poverty_impact` or `macro/single/deep_poverty_rate`, without needing to know how the rest of the repo works. Each file here is dynamically loaded into the tree (notice how `macro/comparison/tax_revenue_impact.py` aligns with that example- not a coincidence!), and must contain a single function, with the same name as the filename, that takes `policyengine.Simulation` as an argument. `policyengine.Simulation` has all the tax-benefit models initialised that the function might need, as well as all the metadata the user has passing in about their modelling request.\n",
-    "\n",
-    "There's a slight caveat here that not everything aligns exactly with this folder structure. At the top level, we have household and macro, but one layer down, we have 'single' (e.g. 'poverty rate') and 'comparison' (e.g. 'change in poverty rate'). At runtime, 'single' is duplicated into 'baseline' and 'reform' with the operations duplicated. For example, here's the output tree under that example from the introduction."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'comparison': {'inequality': {'gini': {'baseline': 0.3477095374202072,\n",
-       "    'reform': 0.358379064086748},\n",
-       "   'top_10_pct_share': {'baseline': 0.2999163898629839,\n",
-       "    'reform': 0.29907741159640616},\n",
-       "   'top_1_pct_share': {'baseline': 0.12430336324184335,\n",
-       "    'reform': 0.1347626305894055}},\n",
-       "  'labor_supply': {'earnings': {'baseline': 1340946114730.9246,\n",
-       "    'reform': 1340946114730.9246,\n",
-       "    'change': 0.0,\n",
-       "    'rel_change': 0.0},\n",
-       "   'fte': {'baseline': 32697735.717292428,\n",
-       "    'reform': 32697735.717292428,\n",
-       "    'change': 0.0,\n",
-       "    'rel_change': 0.0},\n",
-       "   'substitution_lsr': 0,\n",
-       "   'income_lsr': 0,\n",
-       "   'relative_lsr': {'income': 0.0, 'substitution': 0.0},\n",
-       "   'decile': {'average': {'income': {-1: 0.0,\n",
-       "      1: 0.0,\n",
-       "      2: 0.0,\n",
-       "      3: 0.0,\n",
-       "      4: 0.0,\n",
-       "      5: 0.0,\n",
-       "      6: 0.0,\n",
-       "      7: 0.0,\n",
-       "      8: 0.0,\n",
-       "      9: 0.0,\n",
-       "      10: 0.0},\n",
-       "     'substitution': {-1: 0.0,\n",
-       "      1: 0.0,\n",
-       "      2: 0.0,\n",
-       "      3: 0.0,\n",
-       "      4: 0.0,\n",
-       "      5: 0.0,\n",
-       "      6: 0.0,\n",
-       "      7: 0.0,\n",
-       "      8: 0.0,\n",
-       "      9: 0.0,\n",
-       "      10: 0.0}},\n",
-       "    'relative': {'income': {1: 0.0,\n",
-       "      2: 0.0,\n",
-       "      3: 0.0,\n",
-       "      4: 0.0,\n",
-       "      5: 0.0,\n",
-       "      6: 0.0,\n",
-       "      7: 0.0,\n",
-       "      8: 0.0,\n",
-       "      9: 0.0,\n",
-       "      10: 0.0},\n",
-       "     'substitution': {1: 0.0,\n",
-       "      2: 0.0,\n",
-       "      3: 0.0,\n",
-       "      4: 0.0,\n",
-       "      5: 0.0,\n",
-       "      6: 0.0,\n",
-       "      7: 0.0,\n",
-       "      8: 0.0,\n",
-       "      9: 0.0,\n",
-       "      10: 0.0}}},\n",
-       "   'hours': {'baseline': 0,\n",
-       "    'reform': 0,\n",
-       "    'change': 0,\n",
-       "    'income_effect': 0,\n",
-       "    'substitution_effect': 0}},\n",
-       "  'winners': {'income_decile': {'deciles': {'Lose more than 5%': [0.5699445204207915,\n",
-       "      0.7660513713045767,\n",
-       "      0.9115272979214745,\n",
-       "      0.9089873427537835,\n",
-       "      0.9373096641703852,\n",
-       "      0.9941993297036329,\n",
-       "      0.9805336310463555,\n",
-       "      0.9858380316796463,\n",
-       "      0.9817438716629977,\n",
-       "      0.8064217127560148],\n",
-       "     'Lose less than 5%': [0.04623230123984697,\n",
-       "      0.03264940515532148,\n",
-       "      0.04562889064169612,\n",
-       "      0.08283609431414457,\n",
-       "      0.0025646000919409126,\n",
-       "      0.005471902235667197,\n",
-       "      0.0012243282337455143,\n",
-       "      0.008294753032465218,\n",
-       "      0.009828016505105926,\n",
-       "      0.13497431791093376],\n",
-       "     'No change': [0.3837322978104784,\n",
-       "      0.20119103444945097,\n",
-       "      0.04279688484051441,\n",
-       "      0.008176562932071956,\n",
-       "      0.060123942584159866,\n",
-       "      0.00032212820585139553,\n",
-       "      0.01824204071989894,\n",
-       "      0.005867215287888402,\n",
-       "      0.008427906702891197,\n",
-       "      0.05860309479782797],\n",
-       "     'Gain less than 5%': [4.407871433254147e-05,\n",
-       "      6.785959400552714e-05,\n",
-       "      3.991669579473183e-05,\n",
-       "      0.0,\n",
-       "      3.0042263718780655e-07,\n",
-       "      6.639854848509014e-06,\n",
-       "      0.0,\n",
-       "      0.0,\n",
-       "      2.0512900514169538e-07,\n",
-       "      8.745352234896426e-07],\n",
-       "     'Gain more than 5%': [4.6801814550575795e-05,\n",
-       "      4.032949664533201e-05,\n",
-       "      7.009900520272418e-06,\n",
-       "      0.0,\n",
-       "      1.4927308768664487e-06,\n",
-       "      0.0,\n",
-       "      0.0,\n",
-       "      0.0,\n",
-       "      0.0,\n",
-       "      0.0]},\n",
-       "    'all': {'Lose more than 5%': 0.8842556773419659,\n",
-       "     'Lose less than 5%': 0.03697046093608677,\n",
-       "     'No change': 0.07874831083310335,\n",
-       "     'Gain less than 5%': 1.5987494584712863e-05,\n",
-       "     'Gain more than 5%': 9.563394259304667e-06}},\n",
-       "   'wealth_decile': {'deciles': {'Lose more than 5%': [0.7244452463957647,\n",
-       "      0.862073306968986,\n",
-       "      0.79202346066192,\n",
-       "      0.7613851546679026,\n",
-       "      0.9474930410209476,\n",
-       "      0.9614123085389141,\n",
-       "      0.9746393034622329,\n",
-       "      0.9631525459078952,\n",
-       "      0.9619904466444714,\n",
-       "      0.8837320786919578],\n",
-       "     'Lose less than 5%': [0.04471485704482218,\n",
-       "      0.03391770357964914,\n",
-       "      0.013456314513479506,\n",
-       "      0.0662395329144922,\n",
-       "      0.04790899982173219,\n",
-       "      0.0111845171566151,\n",
-       "      0.014592355673430285,\n",
-       "      0.01931319905413729,\n",
-       "      0.019415596264529895,\n",
-       "      0.1017441544321992],\n",
-       "     'No change': [0.2308369348646134,\n",
-       "      0.10400898945136486,\n",
-       "      0.19446786367002267,\n",
-       "      0.17227826590095666,\n",
-       "      0.004564523391138226,\n",
-       "      0.0274031743044708,\n",
-       "      0.010768340864336793,\n",
-       "      0.017534255037967447,\n",
-       "      0.01852788944863214,\n",
-       "      0.014523766875843011],\n",
-       "     'Gain less than 5%': [2.9616947997033396e-06,\n",
-       "      0.0,\n",
-       "      4.5732673368976784e-05,\n",
-       "      8.582633055857693e-06,\n",
-       "      3.3435766181990405e-05,\n",
-       "      0.0,\n",
-       "      0.0,\n",
-       "      0.0,\n",
-       "      6.606764236649033e-05,\n",
-       "      0.0],\n",
-       "     'Gain more than 5%': [0.0,\n",
-       "      0.0,\n",
-       "      6.6284812088544815e-06,\n",
-       "      8.846388359267392e-05,\n",
-       "      0.0,\n",
-       "      0.0,\n",
-       "      0.0,\n",
-       "      0.0,\n",
-       "      0.0,\n",
-       "      0.0]},\n",
-       "    'all': {'Lose more than 5%': 0.8832346892960994,\n",
-       "     'Lose less than 5%': 0.0372487230455087,\n",
-       "     'No change': 0.0794914003809346,\n",
-       "     'Gain less than 5%': 1.5678040977301855e-05,\n",
-       "     'Gain more than 5%': 9.50923648015284e-06}}},\n",
-       "  'poverty': {'age': {'poverty': {'child': {'baseline': 0.12168890226715764,\n",
-       "      'reform': 0.13906769364828317,\n",
-       "      'change_count': 73691106859.13245},\n",
-       "     'adult': {'baseline': 0.055351100168371865,\n",
-       "      'reform': 0.0672586114608156,\n",
-       "      'change_count': 504814.53572523594},\n",
-       "     'senior': {'baseline': 0.0303155424559324,\n",
-       "      'reform': 0.05195631815912117,\n",
-       "      'change_count': 276136.16579508036},\n",
-       "     'all': {'baseline': 0.06255884933261711,\n",
-       "      'reform': 0.07729838532173021,\n",
-       "      'change_count': 991680.9987457916}},\n",
-       "    'deep_poverty': {'child': {'baseline': 0.010545578927003885,\n",
-       "      'reform': 0.011103545122285226},\n",
-       "     'adult': {'baseline': 0.004071394275275657,\n",
-       "      'reform': 0.004433283637913219},\n",
-       "     'senior': {'baseline': 0.00027242701576503007,\n",
-       "      'reform': 0.0004900264115505804},\n",
-       "     'all': {'baseline': 0.004517725675831334,\n",
-       "      'reform': 0.004887588140030611}}},\n",
-       "   'gender': {'poverty': {'male': {'baseline': 0.06272782335056297,\n",
-       "      'reform': 0.07186534042039117},\n",
-       "     'female': {'baseline': 0.06236604536770088,\n",
-       "      'reform': 0.08349763779427065}},\n",
-       "    'deep_poverty': {'male': {'baseline': 0.004332994187308553,\n",
-       "      'reform': 0.004637738572626915},\n",
-       "     'female': {'baseline': 0.004728509344616894,\n",
-       "      'reform': 0.0051726733135598725}}},\n",
-       "   'race': {}},\n",
-       "  'local_areas': {'parliamentary_constituencies': {}, 'local_authorities': {}},\n",
-       "  'decile': {'wealth': {'relative': {1: -0.06988451600434342,\n",
-       "     2: -0.06690050964226048,\n",
-       "     3: -0.06957796432770857,\n",
-       "     4: -0.0855831981827258,\n",
-       "     5: -0.08443696193952503,\n",
-       "     6: -0.10269157031020644,\n",
-       "     7: -0.07977654114604822,\n",
-       "     8: -0.09698548979603118,\n",
-       "     9: -0.087681247849789,\n",
-       "     10: -0.07682958414127124},\n",
-       "    'average': {1: -3151.881847479391,\n",
-       "     2: -3277.9853742220016,\n",
-       "     3: -3972.1505911513273,\n",
-       "     4: -4880.660515693069,\n",
-       "     5: -5241.44945599207,\n",
-       "     6: -6731.310911702426,\n",
-       "     7: -6143.985273199026,\n",
-       "     8: -7423.894905615251,\n",
-       "     9: -7357.5333325144375,\n",
-       "     10: -6840.154203294934}},\n",
-       "   'income': {'relative': {1: -0.08237040425129202,\n",
-       "     2: -0.07690095530570724,\n",
-       "     3: -0.10741530778798607,\n",
-       "     4: -0.10199372682072694,\n",
-       "     5: -0.09957736676527221,\n",
-       "     6: -0.10626716898804343,\n",
-       "     7: -0.10320367587815783,\n",
-       "     8: -0.09893943755315644,\n",
-       "     9: -0.09334618378431991,\n",
-       "     10: -0.03923552884718168},\n",
-       "    'average': {1: -1429.3028814446038,\n",
-       "     2: -2311.7073736265097,\n",
-       "     3: -4021.069419675288,\n",
-       "     4: -4624.886462956393,\n",
-       "     5: -5475.209211631354,\n",
-       "     6: -6981.3910886900885,\n",
-       "     7: -7912.898333165142,\n",
-       "     8: -9079.382193428304,\n",
-       "     9: -10283.288628758442,\n",
-       "     10: -8817.973272244115}}},\n",
-       "  'budget': {'breakdown': {},\n",
-       "   'window': {'total_budget': [124.40658475991692],\n",
-       "    'federal_budget': [124.40658475991692]},\n",
-       "   'programs': {'income_tax': {'baseline': 328945525969.9741,\n",
-       "     'reform': 459654340398.327,\n",
-       "     'difference': 130708814428.3529},\n",
-       "    'national_insurance': {'baseline': 53168761056.25772,\n",
-       "     'reform': 53168761056.25772,\n",
-       "     'difference': 0.0},\n",
-       "    'vat': {'baseline': 214871983017.21628,\n",
-       "     'reform': 214871983017.21628,\n",
-       "     'difference': 0.0},\n",
-       "    'council_tax': {'baseline': 45077685919.83074,\n",
-       "     'reform': 45077685919.83074,\n",
-       "     'difference': 0.0},\n",
-       "    'fuel_duty': {'baseline': 25313698252.372284,\n",
-       "     'reform': 25313698252.372284,\n",
-       "     'difference': 0.0},\n",
-       "    'tax_credits': {'baseline': -81931249.11630942,\n",
-       "     'reform': -81931249.11630942,\n",
-       "     'difference': 0.0},\n",
-       "    'universal_credit': {'baseline': -71486805495.25237,\n",
-       "     'reform': -74087374720.54732,\n",
-       "     'difference': -2600569225.2949524},\n",
-       "    'child_benefit': {'baseline': -14596018214.875364,\n",
-       "     'reform': -14596018214.875364,\n",
-       "     'difference': 0.0},\n",
-       "    'state_pension': {'baseline': -126747036451.91475,\n",
-       "     'reform': -126747036451.91475,\n",
-       "     'difference': 0.0},\n",
-       "    'pension_credit': {'baseline': -6659655701.446462,\n",
-       "     'reform': -9598227786.405336,\n",
-       "     'difference': -2938572084.9588747},\n",
-       "    'ni_employer': {'baseline': 125551554850.68323,\n",
-       "     'reform': 125551554850.68323,\n",
-       "     'difference': 0.0}},\n",
-       "   'general': {'budgetary_impact': 124406584759.91693,\n",
-       "    'tax_revenue_impact': 130699941012.06226,\n",
-       "    'state_tax_revenue_impact': 0,\n",
-       "    'benefit_spending_impact': 6293356252.145325,\n",
-       "    'households': 23140266.80052776,\n",
-       "    'baseline_net_income': 1509192152186.7075}}},\n",
-       " 'baseline': {'household': {'finance': {'total_net_income': 1509192152186.7075,\n",
-       "    'total_market_income': 1733465565685.8093,\n",
-       "    'total_tax': 524172820076.6547,\n",
-       "    'total_benefits': 299899403269.484,\n",
-       "    'employment_income_hh': [60994.564453125,\n",
-       "     0.0,\n",
-       "     18010.205078125,\n",
-       "     0.0,\n",
-       "     373711.78125,\n",
-       "     23473.30078125,\n",
-       "     69819.56640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     48027.21484375,\n",
-       "     138378.40625,\n",
-       "     24073.640625,\n",
-       "     67538.271484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     93292.8671875,\n",
-       "     0.0,\n",
-       "     99296.26953125,\n",
-       "     23713.4375,\n",
-       "     86509.02734375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     22032.484375,\n",
-       "     0.0,\n",
-       "     34519.5625,\n",
-       "     29056.46484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     103438.609375,\n",
-       "     0.0,\n",
-       "     50848.8125,\n",
-       "     105960.0390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     8284.6943359375,\n",
-       "     24493.87890625,\n",
-       "     27615.6484375,\n",
-       "     0.0,\n",
-       "     40402.89453125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     65497.109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     54510.888671875,\n",
-       "     27315.478515625,\n",
-       "     0.0,\n",
-       "     75162.59375,\n",
-       "     0.0,\n",
-       "     35780.2734375,\n",
-       "     116045.74609375,\n",
-       "     0.0,\n",
-       "     31517.85546875,\n",
-       "     71980.78515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     54931.125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     65977.388671875,\n",
-       "     65196.94140625,\n",
-       "     10505.953125,\n",
-       "     0.0,\n",
-       "     97195.0732421875,\n",
-       "     0.0,\n",
-       "     9125.1708984375,\n",
-       "     0.0,\n",
-       "     220444.91796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     453857.169921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     16869.55859375,\n",
-       "     0.0,\n",
-       "     555614.8359375,\n",
-       "     130033.6708984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     85728.58203125,\n",
-       "     50968.8828125,\n",
-       "     37401.1953125,\n",
-       "     95814.296875,\n",
-       "     38001.53125,\n",
-       "     34339.45703125,\n",
-       "     97675.34765625,\n",
-       "     0.0,\n",
-       "     35960.37890625,\n",
-       "     0.0,\n",
-       "     33979.25390625,\n",
-       "     75042.5234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     50968.880859375,\n",
-       "     46046.09375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     45025.5146484375,\n",
-       "     0.0,\n",
-       "     66817.86279296875,\n",
-       "     0.0,\n",
-       "     50608.671875,\n",
-       "     0.0,\n",
-       "     4802.7216796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     157109.03125,\n",
-       "     571824.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27015.30859375,\n",
-       "     218343.734375,\n",
-       "     54030.6171875,\n",
-       "     0.0,\n",
-       "     109021.76953125,\n",
-       "     69099.15625,\n",
-       "     0.0,\n",
-       "     53610.37890625,\n",
-       "     0.0,\n",
-       "     44965.48046875,\n",
-       "     126611.73828125,\n",
-       "     454817.734375,\n",
-       "     25574.4921875,\n",
-       "     101337.4296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     52950.00390625,\n",
-       "     0.0,\n",
-       "     9425.3408203125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     88069.90625,\n",
-       "     73121.4326171875,\n",
-       "     118267.01953125,\n",
-       "     60754.427734375,\n",
-       "     59193.533203125,\n",
-       "     77623.98828125,\n",
-       "     0.0,\n",
-       "     20291.49609375,\n",
-       "     70059.69921875,\n",
-       "     82306.63330078125,\n",
-       "     100857.140625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29896.94140625,\n",
-       "     46046.09765625,\n",
-       "     0.0,\n",
-       "     13807.82421875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     12487.0751953125,\n",
-       "     76963.609375,\n",
-       "     36020.41015625,\n",
-       "     44905.4453125,\n",
-       "     44245.06640625,\n",
-       "     0.0,\n",
-       "     36680.78515625,\n",
-       "     0.0,\n",
-       "     160651.0390625,\n",
-       "     64596.603515625,\n",
-       "     11046.259765625,\n",
-       "     0.0,\n",
-       "     34519.5625,\n",
-       "     117546.60546875,\n",
-       "     0.0,\n",
-       "     34519.5625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     13267.5185546875,\n",
-       "     31097.62109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     16989.625,\n",
-       "     0.0,\n",
-       "     25874.66229248047,\n",
-       "     44905.4453125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     59493.7119140625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29536.73828125,\n",
-       "     39142.181640625,\n",
-       "     41423.47265625,\n",
-       "     0.0,\n",
-       "     51809.359375,\n",
-       "     118567.18359375,\n",
-       "     26354.93359375,\n",
-       "     9605.4423828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     187246.091796875,\n",
-       "     57632.65625,\n",
-       "     0.0,\n",
-       "     82967.0068359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     41423.474609375,\n",
-       "     0.0,\n",
-       "     3962.245361328125,\n",
-       "     21552.212890625,\n",
-       "     107460.89453125,\n",
-       "     46046.09375,\n",
-       "     38781.9765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     45745.92254638672,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27615.6484375,\n",
-       "     0.0,\n",
-       "     34519.5625,\n",
-       "     49047.79296875,\n",
-       "     0.0,\n",
-       "     13987.9267578125,\n",
-       "     79485.0390625,\n",
-       "     0.0,\n",
-       "     13807.82421875,\n",
-       "     13687.755859375,\n",
-       "     25394.388671875,\n",
-       "     0.0,\n",
-       "     8885.03515625,\n",
-       "     87409.53125,\n",
-       "     3301.87109375,\n",
-       "     50068.3720703125,\n",
-       "     22152.552734375,\n",
-       "     20051.365234375,\n",
-       "     14408.1640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     49528.06640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29956.974609375,\n",
-       "     284020.921875,\n",
-       "     31998.1328125,\n",
-       "     176079.765625,\n",
-       "     25094.220703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     36620.75,\n",
-       "     17950.171875,\n",
-       "     0.0,\n",
-       "     82186.572265625,\n",
-       "     0.0,\n",
-       "     69459.361328125,\n",
-       "     0.0,\n",
-       "     62675.517578125,\n",
-       "     55291.33203125,\n",
-       "     54690.9921875,\n",
-       "     120488.2578125,\n",
-       "     14468.19921875,\n",
-       "     25934.693359375,\n",
-       "     30077.04296875,\n",
-       "     0.0,\n",
-       "     25574.4921875,\n",
-       "     59553.748046875,\n",
-       "     81406.125,\n",
-       "     12427.0419921875,\n",
-       "     0.0,\n",
-       "     136157.15625,\n",
-       "     0.0,\n",
-       "     24673.982421875,\n",
-       "     55651.53515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     50608.677734375,\n",
-       "     67898.46875,\n",
-       "     23113.09765625,\n",
-       "     97975.51953125,\n",
-       "     5523.1298828125,\n",
-       "     79965.3203125,\n",
-       "     16209.18505859375,\n",
-       "     46526.36328125,\n",
-       "     21432.14453125,\n",
-       "     144381.8125,\n",
-       "     80925.8515625,\n",
-       "     42624.15234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     36020.412109375,\n",
-       "     59553.748046875,\n",
-       "     82726.88671875,\n",
-       "     0.0,\n",
-       "     18010.205078125,\n",
-       "     0.0,\n",
-       "     79785.21044921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     64476.53515625,\n",
-       "     0.0,\n",
-       "     72461.056640625,\n",
-       "     66517.6953125,\n",
-       "     158069.5625,\n",
-       "     119347.61328125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29956.974609375,\n",
-       "     0.0,\n",
-       "     69099.154296875,\n",
-       "     110762.75,\n",
-       "     116946.265625,\n",
-       "     11286.3955078125,\n",
-       "     0.0,\n",
-       "     46586.39453125,\n",
-       "     114064.63671875,\n",
-       "     47426.875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     40943.19921875,\n",
-       "     86328.921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     51389.12109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     22272.62109375,\n",
-       "     40402.89453125,\n",
-       "     0.0,\n",
-       "     80745.75390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44245.0703125,\n",
-       "     54090.650390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     49167.86328125,\n",
-       "     2401.36083984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     55711.568359375,\n",
-       "     0.0,\n",
-       "     18070.2392578125,\n",
-       "     87589.6328125,\n",
-       "     0.0,\n",
-       "     113284.18359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     33619.05078125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     34339.45703125,\n",
-       "     0.0,\n",
-       "     10866.1572265625,\n",
-       "     0.0,\n",
-       "     21852.3828125,\n",
-       "     252683.1875,\n",
-       "     0.0,\n",
-       "     45986.05859375,\n",
-       "     57872.80078125,\n",
-       "     0.0,\n",
-       "     49708.171875,\n",
-       "     83027.05078125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     47667.01171875,\n",
-       "     164193.03515625,\n",
-       "     0.0,\n",
-       "     35239.96875,\n",
-       "     0.0,\n",
-       "     57332.48828125,\n",
-       "     38001.53125,\n",
-       "     8224.660522460938,\n",
-       "     13567.6884765625,\n",
-       "     258866.703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     8704.9326171875,\n",
-       "     80925.859375,\n",
-       "     0.0,\n",
-       "     48027.21484375,\n",
-       "     0.0,\n",
-       "     26174.83203125,\n",
-       "     0.0,\n",
-       "     4802.7216796875,\n",
-       "     183463.966796875,\n",
-       "     11406.4638671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     89330.6171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     40342.859375,\n",
-       "     0.0,\n",
-       "     83927.55859375,\n",
-       "     226208.18359375,\n",
-       "     0.0,\n",
-       "     28756.298828125,\n",
-       "     114184.70703125,\n",
-       "     101937.765625,\n",
-       "     17229.763671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     13387.5849609375,\n",
-       "     0.0,\n",
-       "     9005.1025390625,\n",
-       "     69039.125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     68438.77270507812,\n",
-       "     0.0,\n",
-       "     84768.037109375,\n",
-       "     3121.76904296875,\n",
-       "     0.0,\n",
-       "     17349.83203125,\n",
-       "     186525.7001953125,\n",
-       "     28816.330078125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     22512.7578125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     21011.908203125,\n",
-       "     104639.2890625,\n",
-       "     55231.296875,\n",
-       "     28996.431640625,\n",
-       "     54811.060546875,\n",
-       "     0.0,\n",
-       "     54330.7880859375,\n",
-       "     0.0,\n",
-       "     11586.5654296875,\n",
-       "     10205.7822265625,\n",
-       "     38541.841796875,\n",
-       "     0.0,\n",
-       "     49468.03125,\n",
-       "     21852.3828125,\n",
-       "     61654.9365234375,\n",
-       "     4562.58544921875,\n",
-       "     28936.3984375,\n",
-       "     263729.44921875,\n",
-       "     32478.404296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     80985.89031982422,\n",
-       "     46046.09375,\n",
-       "     0.0,\n",
-       "     43584.69921875,\n",
-       "     17950.171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     80805.78125,\n",
-       "     60994.564453125,\n",
-       "     4982.82373046875,\n",
-       "     30797.451171875,\n",
-       "     24013.607421875,\n",
-       "     45025.515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     104159.015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     21432.14453125,\n",
-       "     63696.095703125,\n",
-       "     91311.7421875,\n",
-       "     0.0,\n",
-       "     68678.91796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     18130.2734375,\n",
-       "     36860.890625,\n",
-       "     207357.5,\n",
-       "     0.0,\n",
-       "     193609.71875,\n",
-       "     0.0,\n",
-       "     3301.87109375,\n",
-       "     21131.974609375,\n",
-       "     68618.8828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     129193.205078125,\n",
-       "     28756.296875,\n",
-       "     31757.998046875,\n",
-       "     0.0,\n",
-       "     5883.33366394043,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     115145.25,\n",
-       "     10926.19140625,\n",
-       "     0.0,\n",
-       "     8764.966796875,\n",
-       "     0.0,\n",
-       "     110042.3515625,\n",
-       "     60454.2578125,\n",
-       "     76963.607421875,\n",
-       "     22932.99609375,\n",
-       "     34519.5625,\n",
-       "     0.0,\n",
-       "     20831.8046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     62675.515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     43164.45703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     72521.09375,\n",
-       "     14708.3330078125,\n",
-       "     90531.29296875,\n",
-       "     74562.25390625,\n",
-       "     72641.1640625,\n",
-       "     0.0,\n",
-       "     29956.9765625,\n",
-       "     76963.6162109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     40342.859375,\n",
-       "     0.0,\n",
-       "     20471.599609375,\n",
-       "     0.0,\n",
-       "     64836.7431640625,\n",
-       "     0.0,\n",
-       "     22092.51953125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     33799.15234375,\n",
-       "     128472.796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     17830.103515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     38481.80712890625,\n",
-       "     45926.0244140625,\n",
-       "     265410.40625,\n",
-       "     0.0,\n",
-       "     79545.06640625,\n",
-       "     38001.5341796875,\n",
-       "     47907.1484375,\n",
-       "     0.0,\n",
-       "     110702.7265625,\n",
-       "     84768.03515625,\n",
-       "     20231.46484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     91431.8046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     30317.18359375,\n",
-       "     71980.7880859375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     31577.89453125,\n",
-       "     63395.923828125,\n",
-       "     28696.26171875,\n",
-       "     29896.94140625,\n",
-       "     49528.06640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     210839.4375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     58953.4072265625,\n",
-       "     78284.36328125,\n",
-       "     69459.35107421875,\n",
-       "     0.0,\n",
-       "     103918.8828125,\n",
-       "     0.0,\n",
-       "     58293.03125,\n",
-       "     387039.3046875,\n",
-       "     0.0,\n",
-       "     111303.0625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     24193.708984375,\n",
-       "     0.0,\n",
-       "     62135.208984375,\n",
-       "     63155.7890625,\n",
-       "     3361.905029296875,\n",
-       "     28756.29443359375,\n",
-       "     0.0,\n",
-       "     172597.8046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     52349.6630859375,\n",
-       "     23653.4033203125,\n",
-       "     48987.75390625,\n",
-       "     75282.66015625,\n",
-       "     20471.599609375,\n",
-       "     1200.680419921875,\n",
-       "     49227.896484375,\n",
-       "     81766.3359375,\n",
-       "     0.0,\n",
-       "     27615.6484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     71860.7109375,\n",
-       "     26354.93359375,\n",
-       "     0.0,\n",
-       "     18190.30859375,\n",
-       "     13807.82421875,\n",
-       "     184184.375,\n",
-       "     149064.46484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     32238.267578125,\n",
-       "     0.0,\n",
-       "     153206.796875,\n",
-       "     55231.30078125,\n",
-       "     27255.443359375,\n",
-       "     41303.40625,\n",
-       "     40943.19921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29536.73828125,\n",
-       "     0.0,\n",
-       "     85128.234375,\n",
-       "     83147.1171875,\n",
-       "     23053.064453125,\n",
-       "     7324.150390625,\n",
-       "     0.0,\n",
-       "     126671.78125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     17950.171875,\n",
-       "     158369.734375,\n",
-       "     52889.966796875,\n",
-       "     57572.62109375,\n",
-       "     121568.87890625,\n",
-       "     0.0,\n",
-       "     59553.74609375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     31397.791015625,\n",
-       "     7924.49072265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     36140.478515625,\n",
-       "     39742.51953125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44605.27734375,\n",
-       "     31517.859375,\n",
-       "     72040.8203125,\n",
-       "     198352.38671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     15188.6064453125,\n",
-       "     0.0,\n",
-       "     78284.359375,\n",
-       "     0.0,\n",
-       "     229450.0234375,\n",
-       "     28756.296875,\n",
-       "     0.0,\n",
-       "     73541.6748046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     59853.91015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     37161.05859375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     35960.37890625,\n",
-       "     4682.6533203125,\n",
-       "     9005.1025390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     24193.708984375,\n",
-       "     40342.859375,\n",
-       "     0.0,\n",
-       "     46226.1953125,\n",
-       "     68258.677734375,\n",
-       "     0.0,\n",
-       "     25334.35546875,\n",
-       "     0.0,\n",
-       "     38601.87109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29056.4609375,\n",
-       "     0.0,\n",
-       "     33559.015625,\n",
-       "     54270.74609375,\n",
-       "     0.0,\n",
-       "     59853.91015625,\n",
-       "     0.0,\n",
-       "     69999.66796875,\n",
-       "     0.0,\n",
-       "     109021.76953125,\n",
-       "     31818.03125,\n",
-       "     166414.296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     71920.7578125,\n",
-       "     0.0,\n",
-       "     41903.7412109375,\n",
-       "     36080.4453125,\n",
-       "     112263.61328125,\n",
-       "     94613.607421875,\n",
-       "     46046.09375,\n",
-       "     86929.25390625,\n",
-       "     92512.421875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     91431.7998046875,\n",
-       "     108601.5380859375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     95754.26171875,\n",
-       "     35360.037109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     132074.83203125,\n",
-       "     0.0,\n",
-       "     97855.453125,\n",
-       "     22932.9921875,\n",
-       "     0.0,\n",
-       "     44004.9375,\n",
-       "     46046.08984375,\n",
-       "     40282.828125,\n",
-       "     17049.66015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     85188.265625,\n",
-       "     52829.9375,\n",
-       "     80565.6484375,\n",
-       "     89270.5859375,\n",
-       "     20711.736328125,\n",
-       "     39022.109375,\n",
-       "     73601.70703125,\n",
-       "     0.0,\n",
-       "     32058.166015625,\n",
-       "     36380.6171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     26234.8671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44185.0390625,\n",
-       "     14288.095703125,\n",
-       "     9965.646484375,\n",
-       "     65317.01171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     55531.46484375,\n",
-       "     0.0,\n",
-       "     23173.130859375,\n",
-       "     79124.833984375,\n",
-       "     0.0,\n",
-       "     60034.015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44785.379150390625,\n",
-       "     40282.828125,\n",
-       "     33679.0859375,\n",
-       "     85188.2734375,\n",
-       "     0.0,\n",
-       "     12907.3134765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27555.615234375,\n",
-       "     10505.953125,\n",
-       "     71680.62109375,\n",
-       "     23053.0625,\n",
-       "     163292.5234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     28936.396484375,\n",
-       "     0.0,\n",
-       "     16689.45703125,\n",
-       "     87469.5625,\n",
-       "     103198.48046875,\n",
-       "     53430.2763671875,\n",
-       "     0.0,\n",
-       "     220384.8828125,\n",
-       "     0.0,\n",
-       "     36020.41015625,\n",
-       "     67658.341796875,\n",
-       "     137057.6640625,\n",
-       "     48327.37890625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     9125.1708984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     69759.53125,\n",
-       "     0.0,\n",
-       "     45625.8544921875,\n",
-       "     0.0,\n",
-       "     46526.365234375,\n",
-       "     23773.470703125,\n",
-       "     58052.89453125,\n",
-       "     29476.703125,\n",
-       "     0.0,\n",
-       "     27615.6484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     81226.033203125,\n",
-       "     0.0,\n",
-       "     61534.8701171875,\n",
-       "     0.0,\n",
-       "     41183.337890625,\n",
-       "     69879.6015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     61955.109375,\n",
-       "     98575.85595703125,\n",
-       "     61895.0751953125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     153446.955078125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     52229.58984375,\n",
-       "     13927.892578125,\n",
-       "     117966.84375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29656.8046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     53250.173828125,\n",
-       "     9065.13671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     24433.845703125,\n",
-       "     78644.56640625,\n",
-       "     30497.28125,\n",
-       "     175479.4375,\n",
-       "     88910.3828125,\n",
-       "     0.0,\n",
-       "     270213.15625,\n",
-       "     0.0,\n",
-       "     69159.1875,\n",
-       "     70179.765625,\n",
-       "     0.0,\n",
-       "     49648.12890625,\n",
-       "     0.0,\n",
-       "     50008.337890625,\n",
-       "     207657.666015625,\n",
-       "     0.0,\n",
-       "     103318.5546875,\n",
-       "     24193.70703125,\n",
-       "     0.0,\n",
-       "     70479.9375,\n",
-       "     0.0,\n",
-       "     249681.484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     25994.73046875,\n",
-       "     0.0,\n",
-       "     98515.82421875,\n",
-       "     0.0,\n",
-       "     57032.316650390625,\n",
-       "     59433.673828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     10445.91796875,\n",
-       "     0.0,\n",
-       "     70600.0,\n",
-       "     0.0,\n",
-       "     129793.546875,\n",
-       "     71800.685546875,\n",
-       "     55531.46875,\n",
-       "     0.0,\n",
-       "     24133.67578125,\n",
-       "     56852.21484375,\n",
-       "     89450.6875,\n",
-       "     110102.38671875,\n",
-       "     11526.53125,\n",
-       "     27435.546875,\n",
-       "     18130.2734375,\n",
-       "     18130.2734375,\n",
-       "     51809.359375,\n",
-       "     ...],\n",
-       "    'self_employment_income_hh': [0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     14756.951171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     725.751708984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     967.6689453125,\n",
-       "     7499.4345703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     -1209.586181640625,\n",
-       "     0.0,\n",
-       "     58362.5322265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11914.423828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     -45843.31640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     36287.5859375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11491.068359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     3507.800048828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     152770.734375,\n",
-       "     0.0,\n",
-       "     20865.361328125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     307355.84375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     13910.2412109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     21772.55078125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     5866.4931640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     31570.2001953125,\n",
-       "     0.0,\n",
-       "     18143.79296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     39795.38671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     13910.2412109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     120.9586181640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     7680.8720703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     73542.841796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     3326.362060546875,\n",
-       "     0.0,\n",
-       "     1995.8172607421875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44512.7734375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     9616.2099609375,\n",
-       "     0.0,\n",
-       "     44452.29296875,\n",
-       "     5806.013671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     58906.84765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     9555.73046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44633.73046875,\n",
-       "     19232.419921875,\n",
-       "     14998.869140625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27820.482421875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     4838.3447265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29574.3828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     63987.1083984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     39553.46875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     2116.77587890625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     94226.765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     63987.109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     23526.451171875,\n",
-       "     31388.76171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11732.98583984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     25582.748046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     100093.2578125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     49955.91015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     92533.34375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     198311.65625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     41730.72265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     18143.79296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     6531.765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27820.482421875,\n",
-       "     1270.0655517578125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     20865.361328125,\n",
-       "     0.0,\n",
-       "     7680.8720703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     17599.478515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     3507.800048828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     84610.5546875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     15301.265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     28667.193359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     101363.3203125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     16027.0166015625,\n",
-       "     11612.02734375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1209.586181640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     9071.896484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     170067.8125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     2963.486083984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1209.586181640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     71909.8984375,\n",
-       "     41730.72265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     36287.5859375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     6047.93115234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     16329.4140625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     6047.93115234375,\n",
-       "     0.0,\n",
-       "     298344.4208984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11672.5068359375,\n",
-       "     0.0,\n",
-       "     24010.28515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     26429.45849609375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     28788.150390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27820.482421875,\n",
-       "     37618.12890625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     20865.361328125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     8346.14453125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     30239.654296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     48685.84375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     64833.8203125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     28667.193359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11430.58984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     33566.015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     15543.1826171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     69611.6875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     9132.3759765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     22377.34375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     3628.758544921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     10281.482666015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     15361.744140625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     6047.93115234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     33989.37109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     24191.724609375,\n",
-       "     0.0,\n",
-       "     8164.70703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     25824.6650390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     48685.84375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     30481.572265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11430.58935546875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     64591.90234375,\n",
-       "     66527.2421875,\n",
-       "     0.0,\n",
-       "     17720.4375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     21288.716796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     21167.7578125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     2963.486083984375,\n",
-       "     0.0,\n",
-       "     36469.0234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     -241.917236328125,\n",
-       "     3507.800048828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     2358.693115234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11067.7138671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     46387.62890625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     72575.171875,\n",
-       "     2479.651611328125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     ...],\n",
-       "    'household_net_income': [48735.171875,\n",
-       "     3142.575439453125,\n",
-       "     11835.765625,\n",
-       "     18229.52734375,\n",
-       "     217617.34375,\n",
-       "     28916.01171875,\n",
-       "     55932.65234375,\n",
-       "     27566.732421875,\n",
-       "     10779.9990234375,\n",
-       "     45006.03125,\n",
-       "     98651.265625,\n",
-       "     40672.296875,\n",
-       "     60728.5,\n",
-       "     24033.255859375,\n",
-       "     18928.025390625,\n",
-       "     53673.6484375,\n",
-       "     36085.91796875,\n",
-       "     62185.38671875,\n",
-       "     64941.6640625,\n",
-       "     25453.51171875,\n",
-       "     80695.703125,\n",
-       "     19191.537109375,\n",
-       "     94906.890625,\n",
-       "     6124.4677734375,\n",
-       "     47131.2265625,\n",
-       "     21241.4140625,\n",
-       "     25489.986328125,\n",
-       "     62493.859375,\n",
-       "     19251.884765625,\n",
-       "     18277.11328125,\n",
-       "     -128300.203125,\n",
-       "     25610.78515625,\n",
-       "     63669.34375,\n",
-       "     97122.78125,\n",
-       "     -11466.111328125,\n",
-       "     72770.984375,\n",
-       "     33811.90234375,\n",
-       "     44599.46875,\n",
-       "     15444.091796875,\n",
-       "     29412.22265625,\n",
-       "     26329.7578125,\n",
-       "     25694.806640625,\n",
-       "     32563.919921875,\n",
-       "     40376.859375,\n",
-       "     32127.94140625,\n",
-       "     5581.7998046875,\n",
-       "     3272.686767578125,\n",
-       "     20566.1015625,\n",
-       "     72541.375,\n",
-       "     42384.80078125,\n",
-       "     -1579.7364501953125,\n",
-       "     44116.7265625,\n",
-       "     46954.26953125,\n",
-       "     29220.912109375,\n",
-       "     60124.99609375,\n",
-       "     23823.865234375,\n",
-       "     29494.39453125,\n",
-       "     88395.921875,\n",
-       "     28604.146484375,\n",
-       "     67284.484375,\n",
-       "     45835.12109375,\n",
-       "     13507.4775390625,\n",
-       "     11530.6552734375,\n",
-       "     33266.0,\n",
-       "     17542.634765625,\n",
-       "     20067.541015625,\n",
-       "     52417.671875,\n",
-       "     51687.140625,\n",
-       "     10199.404296875,\n",
-       "     17651.365234375,\n",
-       "     75689.3125,\n",
-       "     17026.24609375,\n",
-       "     29510.6953125,\n",
-       "     21370.64453125,\n",
-       "     120927.96875,\n",
-       "     99638.125,\n",
-       "     13805.2421875,\n",
-       "     14573.578125,\n",
-       "     258048.734375,\n",
-       "     12795.537109375,\n",
-       "     13636.86328125,\n",
-       "     165560.84375,\n",
-       "     13395.5537109375,\n",
-       "     16118.572265625,\n",
-       "     20655.673828125,\n",
-       "     315940.0625,\n",
-       "     84108.90625,\n",
-       "     21643.666015625,\n",
-       "     9317.88671875,\n",
-       "     15947.091796875,\n",
-       "     62917.5859375,\n",
-       "     41278.57421875,\n",
-       "     25661.619140625,\n",
-       "     80058.3828125,\n",
-       "     27971.4453125,\n",
-       "     37349.42578125,\n",
-       "     69476.015625,\n",
-       "     24709.693359375,\n",
-       "     29070.9453125,\n",
-       "     23828.005859375,\n",
-       "     25703.625,\n",
-       "     70375.59375,\n",
-       "     10936.2919921875,\n",
-       "     21051.166015625,\n",
-       "     42185.12890625,\n",
-       "     36170.58984375,\n",
-       "     38829.1640625,\n",
-       "     10153.2666015625,\n",
-       "     38725.96875,\n",
-       "     16058.94140625,\n",
-       "     60679.34375,\n",
-       "     10292.9619140625,\n",
-       "     38659.7109375,\n",
-       "     31074.58203125,\n",
-       "     4330.5078125,\n",
-       "     20077.91015625,\n",
-       "     33742.62109375,\n",
-       "     158518.25,\n",
-       "     316855.375,\n",
-       "     9338.2109375,\n",
-       "     2153.59375,\n",
-       "     21643.046875,\n",
-       "     136183.40625,\n",
-       "     46410.0234375,\n",
-       "     31450.41015625,\n",
-       "     82952.5,\n",
-       "     49190.25,\n",
-       "     29564.80078125,\n",
-       "     46273.09765625,\n",
-       "     43837.7109375,\n",
-       "     132310.21875,\n",
-       "     61876.80078125,\n",
-       "     279531.375,\n",
-       "     39940.87109375,\n",
-       "     102430.15625,\n",
-       "     28704.625,\n",
-       "     12383.9140625,\n",
-       "     23801.8046875,\n",
-       "     18123.349609375,\n",
-       "     71105.671875,\n",
-       "     18001.40234375,\n",
-       "     26786.908203125,\n",
-       "     17956.12890625,\n",
-       "     12560.8134765625,\n",
-       "     31671.96484375,\n",
-       "     53297.1015625,\n",
-       "     66676.8671875,\n",
-       "     22459.076171875,\n",
-       "     63616.23046875,\n",
-       "     16215.4189453125,\n",
-       "     14204.021484375,\n",
-       "     28680.66015625,\n",
-       "     49534.875,\n",
-       "     36158.1796875,\n",
-       "     74839.046875,\n",
-       "     70131.9375,\n",
-       "     87898.171875,\n",
-       "     49724.5703125,\n",
-       "     48210.4375,\n",
-       "     63886.953125,\n",
-       "     17063.30859375,\n",
-       "     38594.61328125,\n",
-       "     49496.640625,\n",
-       "     73945.625,\n",
-       "     68215.390625,\n",
-       "     60682.015625,\n",
-       "     9282.1025390625,\n",
-       "     17442.4921875,\n",
-       "     5559.99658203125,\n",
-       "     20172.052734375,\n",
-       "     33351.9765625,\n",
-       "     22298.16015625,\n",
-       "     11354.8642578125,\n",
-       "     9550.8349609375,\n",
-       "     29042.060546875,\n",
-       "     12740.640625,\n",
-       "     60416.58203125,\n",
-       "     28298.564453125,\n",
-       "     39099.49609375,\n",
-       "     31955.103515625,\n",
-       "     14255.3603515625,\n",
-       "     35627.87890625,\n",
-       "     19506.125,\n",
-       "     105075.84375,\n",
-       "     47845.6015625,\n",
-       "     11359.23046875,\n",
-       "     10517.7939453125,\n",
-       "     24713.931640625,\n",
-       "     87334.4375,\n",
-       "     8378.7890625,\n",
-       "     47600.73828125,\n",
-       "     20474.3359375,\n",
-       "     9107.287109375,\n",
-       "     50019.3125,\n",
-       "     35712.40234375,\n",
-       "     16642.03515625,\n",
-       "     18209.45703125,\n",
-       "     16456.224609375,\n",
-       "     32703.904296875,\n",
-       "     24866.837890625,\n",
-       "     34186.828125,\n",
-       "     37738.44140625,\n",
-       "     12875.3046875,\n",
-       "     55756.3828125,\n",
-       "     37675.6171875,\n",
-       "     51829.9609375,\n",
-       "     35025.5234375,\n",
-       "     34882.34375,\n",
-       "     49539.1484375,\n",
-       "     26943.58203125,\n",
-       "     38624.84375,\n",
-       "     86724.4375,\n",
-       "     31549.41015625,\n",
-       "     -2313.6533203125,\n",
-       "     31528.47265625,\n",
-       "     9921.365234375,\n",
-       "     14897.3701171875,\n",
-       "     118737.8671875,\n",
-       "     44725.8671875,\n",
-       "     29973.57421875,\n",
-       "     80599.234375,\n",
-       "     3563.61767578125,\n",
-       "     16904.185546875,\n",
-       "     30955.6640625,\n",
-       "     15019.98828125,\n",
-       "     7462.5888671875,\n",
-       "     28949.25390625,\n",
-       "     16058.3828125,\n",
-       "     83091.671875,\n",
-       "     30747.46484375,\n",
-       "     28873.31640625,\n",
-       "     12259.0654296875,\n",
-       "     56976.140625,\n",
-       "     61049.2109375,\n",
-       "     12487.078125,\n",
-       "     32094.107421875,\n",
-       "     12178.74609375,\n",
-       "     53067.8359375,\n",
-       "     32520.69921875,\n",
-       "     45535.484375,\n",
-       "     27464.06640625,\n",
-       "     50947.1328125,\n",
-       "     22289.2265625,\n",
-       "     10396.4921875,\n",
-       "     59907.6484375,\n",
-       "     7731.7958984375,\n",
-       "     8774.87890625,\n",
-       "     10877.0263671875,\n",
-       "     34091.6796875,\n",
-       "     51231.140625,\n",
-       "     50064.5625,\n",
-       "     69947.375,\n",
-       "     14702.890625,\n",
-       "     39768.765625,\n",
-       "     26608.39453125,\n",
-       "     25633.923828125,\n",
-       "     12337.6552734375,\n",
-       "     51767.0,\n",
-       "     35374.1171875,\n",
-       "     36497.1796875,\n",
-       "     15910.53515625,\n",
-       "     18999.83984375,\n",
-       "     39605.078125,\n",
-       "     20666.423828125,\n",
-       "     10860.1787109375,\n",
-       "     90212.015625,\n",
-       "     23932.8984375,\n",
-       "     170059.71875,\n",
-       "     29636.888671875,\n",
-       "     88273.328125,\n",
-       "     40148.703125,\n",
-       "     8333.421875,\n",
-       "     36976.2265625,\n",
-       "     29832.22265625,\n",
-       "     23711.326171875,\n",
-       "     13669.439453125,\n",
-       "     64170.578125,\n",
-       "     13990.80078125,\n",
-       "     54170.50390625,\n",
-       "     22911.423828125,\n",
-       "     50761.0234375,\n",
-       "     53753.98828125,\n",
-       "     40960.73046875,\n",
-       "     85809.46875,\n",
-       "     4021.703125,\n",
-       "     43113.6796875,\n",
-       "     19399.125,\n",
-       "     23956.55859375,\n",
-       "     20454.65625,\n",
-       "     44649.2265625,\n",
-       "     107900.2265625,\n",
-       "     22575.859375,\n",
-       "     16263.896484375,\n",
-       "     94559.328125,\n",
-       "     55129.42578125,\n",
-       "     25107.392578125,\n",
-       "     41568.37109375,\n",
-       "     8048.712890625,\n",
-       "     21061.857421875,\n",
-       "     40774.2109375,\n",
-       "     44428.7265625,\n",
-       "     36803.66796875,\n",
-       "     72778.46875,\n",
-       "     4254.9306640625,\n",
-       "     58979.109375,\n",
-       "     8613.646484375,\n",
-       "     32859.58984375,\n",
-       "     14015.240234375,\n",
-       "     44500.96875,\n",
-       "     46213.1171875,\n",
-       "     65936.75,\n",
-       "     32159.701171875,\n",
-       "     17937.65234375,\n",
-       "     59432.9453125,\n",
-       "     47060.87109375,\n",
-       "     63605.0078125,\n",
-       "     2945.0068359375,\n",
-       "     67809.2890625,\n",
-       "     41265.7578125,\n",
-       "     91342.4453125,\n",
-       "     8328.04296875,\n",
-       "     -1101.66943359375,\n",
-       "     32880.10546875,\n",
-       "     47212.578125,\n",
-       "     10937.8974609375,\n",
-       "     55094.984375,\n",
-       "     115751.9921875,\n",
-       "     108119.609375,\n",
-       "     92473.1875,\n",
-       "     49519.48828125,\n",
-       "     13333.3330078125,\n",
-       "     23833.1015625,\n",
-       "     25699.490234375,\n",
-       "     54085.47265625,\n",
-       "     93547.6015625,\n",
-       "     119124.2890625,\n",
-       "     36243.515625,\n",
-       "     18532.25390625,\n",
-       "     37005.23046875,\n",
-       "     82521.7734375,\n",
-       "     33985.5546875,\n",
-       "     13164.248046875,\n",
-       "     4725.9423828125,\n",
-       "     30859.658203125,\n",
-       "     30235.9296875,\n",
-       "     51327.2109375,\n",
-       "     8135.8515625,\n",
-       "     14642.599609375,\n",
-       "     39812.0390625,\n",
-       "     21010.294921875,\n",
-       "     17880.77734375,\n",
-       "     25586.009765625,\n",
-       "     18230.74609375,\n",
-       "     31676.43359375,\n",
-       "     64068.02734375,\n",
-       "     62055.109375,\n",
-       "     8597.9951171875,\n",
-       "     -689.36767578125,\n",
-       "     22282.40234375,\n",
-       "     26209.453125,\n",
-       "     44633.15625,\n",
-       "     44861.93359375,\n",
-       "     11799.6728515625,\n",
-       "     7471.416015625,\n",
-       "     27270.0703125,\n",
-       "     30369.8125,\n",
-       "     57216.08203125,\n",
-       "     26801.71875,\n",
-       "     34544.09765625,\n",
-       "     12862.01953125,\n",
-       "     46092.71875,\n",
-       "     36481.62109375,\n",
-       "     34744.30859375,\n",
-       "     65425.62109375,\n",
-       "     4985.2255859375,\n",
-       "     88636.1875,\n",
-       "     33294.61328125,\n",
-       "     11294.2900390625,\n",
-       "     3804.8603515625,\n",
-       "     30142.99609375,\n",
-       "     34193.69921875,\n",
-       "     27532.00390625,\n",
-       "     25489.2890625,\n",
-       "     26718.1796875,\n",
-       "     20193.59765625,\n",
-       "     9718.369140625,\n",
-       "     9718.68359375,\n",
-       "     16871.986328125,\n",
-       "     90960.25,\n",
-       "     173843.09375,\n",
-       "     10588.7158203125,\n",
-       "     36211.0859375,\n",
-       "     41028.60546875,\n",
-       "     16252.380859375,\n",
-       "     82963.3359375,\n",
-       "     87256.375,\n",
-       "     11670.8408203125,\n",
-       "     64230.78125,\n",
-       "     40018.10546875,\n",
-       "     121421.5625,\n",
-       "     27089.173828125,\n",
-       "     29069.052734375,\n",
-       "     123517.0703125,\n",
-       "     46898.578125,\n",
-       "     35206.80078125,\n",
-       "     15652.1513671875,\n",
-       "     29536.60546875,\n",
-       "     123538.28125,\n",
-       "     107778.09375,\n",
-       "     57305.15625,\n",
-       "     9674.052734375,\n",
-       "     66293.375,\n",
-       "     14642.1171875,\n",
-       "     37275.40234375,\n",
-       "     6044.4794921875,\n",
-       "     19266.3125,\n",
-       "     22081.333984375,\n",
-       "     23549.95703125,\n",
-       "     111211.328125,\n",
-       "     16796.87109375,\n",
-       "     44432.0625,\n",
-       "     17247.78125,\n",
-       "     15747.1083984375,\n",
-       "     60831.34765625,\n",
-       "     13422.4755859375,\n",
-       "     13618.771484375,\n",
-       "     37734.2890625,\n",
-       "     79883.6875,\n",
-       "     65422.84375,\n",
-       "     139841.765625,\n",
-       "     30277.958984375,\n",
-       "     46782.796875,\n",
-       "     87724.796875,\n",
-       "     77575.9453125,\n",
-       "     19460.52734375,\n",
-       "     10200.990234375,\n",
-       "     40542.1484375,\n",
-       "     16119.3359375,\n",
-       "     30213.30859375,\n",
-       "     8015.21826171875,\n",
-       "     56752.4453125,\n",
-       "     43755.609375,\n",
-       "     20792.73046875,\n",
-       "     58121.3359375,\n",
-       "     48741.9375,\n",
-       "     62631.84375,\n",
-       "     29709.4609375,\n",
-       "     17535.095703125,\n",
-       "     14318.0439453125,\n",
-       "     121947.75,\n",
-       "     63020.546875,\n",
-       "     22930.33984375,\n",
-       "     7444.3125,\n",
-       "     18725.72265625,\n",
-       "     32238.6328125,\n",
-       "     28379.6875,\n",
-       "     15389.505859375,\n",
-       "     35851.96484375,\n",
-       "     76716.734375,\n",
-       "     48482.4765625,\n",
-       "     35916.2421875,\n",
-       "     51959.78125,\n",
-       "     23978.173828125,\n",
-       "     45407.69921875,\n",
-       "     38203.734375,\n",
-       "     23195.283203125,\n",
-       "     50744.5625,\n",
-       "     44664.5390625,\n",
-       "     30143.400390625,\n",
-       "     37249.83203125,\n",
-       "     84696.34375,\n",
-       "     57697.51171875,\n",
-       "     22670.818359375,\n",
-       "     15780.8330078125,\n",
-       "     170830.65625,\n",
-       "     26958.021484375,\n",
-       "     29272.8046875,\n",
-       "     23221.171875,\n",
-       "     62345.078125,\n",
-       "     32164.08984375,\n",
-       "     19844.25390625,\n",
-       "     28834.38671875,\n",
-       "     17484.2265625,\n",
-       "     18654.09765625,\n",
-       "     18236.30859375,\n",
-       "     58288.6484375,\n",
-       "     48679.578125,\n",
-       "     17626.693359375,\n",
-       "     25815.4921875,\n",
-       "     19905.19921875,\n",
-       "     34007.6953125,\n",
-       "     3652.7958984375,\n",
-       "     38885.515625,\n",
-       "     8042.90771484375,\n",
-       "     23094.939453125,\n",
-       "     23592.01953125,\n",
-       "     82367.265625,\n",
-       "     31373.5703125,\n",
-       "     26013.9921875,\n",
-       "     41993.12109375,\n",
-       "     35568.87109375,\n",
-       "     17513.2109375,\n",
-       "     49938.30859375,\n",
-       "     78099.7265625,\n",
-       "     18216.48046875,\n",
-       "     55438.8359375,\n",
-       "     26214.248046875,\n",
-       "     26660.55859375,\n",
-       "     14489.033203125,\n",
-       "     16435.85546875,\n",
-       "     100882.6875,\n",
-       "     141845.203125,\n",
-       "     32891.84375,\n",
-       "     50578.953125,\n",
-       "     14007.357421875,\n",
-       "     26577.279296875,\n",
-       "     29075.56640625,\n",
-       "     56605.7421875,\n",
-       "     15995.76171875,\n",
-       "     -1082.701171875,\n",
-       "     13769.41015625,\n",
-       "     11808.3349609375,\n",
-       "     21091.166015625,\n",
-       "     29598.13671875,\n",
-       "     5805.54296875,\n",
-       "     97049.390625,\n",
-       "     25311.091796875,\n",
-       "     23550.56640625,\n",
-       "     11378.5185546875,\n",
-       "     65778.1796875,\n",
-       "     34958.45703125,\n",
-       "     31399.0078125,\n",
-       "     55990.65625,\n",
-       "     28056.69140625,\n",
-       "     10245.3671875,\n",
-       "     30969.162109375,\n",
-       "     10712.5234375,\n",
-       "     83004.3828125,\n",
-       "     49971.23828125,\n",
-       "     65883.6171875,\n",
-       "     20040.859375,\n",
-       "     26816.115234375,\n",
-       "     13931.8984375,\n",
-       "     68018.421875,\n",
-       "     10602.333984375,\n",
-       "     39263.2890625,\n",
-       "     18259.47265625,\n",
-       "     16819.58203125,\n",
-       "     51139.28515625,\n",
-       "     56417.15625,\n",
-       "     7909.02099609375,\n",
-       "     28856.37109375,\n",
-       "     15506.7001953125,\n",
-       "     42477.52734375,\n",
-       "     37098.3046875,\n",
-       "     15255.017578125,\n",
-       "     62622.3828125,\n",
-       "     109668.921875,\n",
-       "     70030.0078125,\n",
-       "     55576.515625,\n",
-       "     44266.19140625,\n",
-       "     21576.80078125,\n",
-       "     22289.6171875,\n",
-       "     54814.1875,\n",
-       "     10748.462890625,\n",
-       "     18472.998046875,\n",
-       "     -1289.754150390625,\n",
-       "     20888.705078125,\n",
-       "     32200.671875,\n",
-       "     49303.4921875,\n",
-       "     28064.486328125,\n",
-       "     5019.94384765625,\n",
-       "     61691.8125,\n",
-       "     8589.38671875,\n",
-       "     17698.9375,\n",
-       "     78804.765625,\n",
-       "     9738.6875,\n",
-       "     28316.1015625,\n",
-       "     93331.9375,\n",
-       "     49323.765625,\n",
-       "     25861.751953125,\n",
-       "     22124.0546875,\n",
-       "     34074.265625,\n",
-       "     12622.2392578125,\n",
-       "     31813.119140625,\n",
-       "     36619.9375,\n",
-       "     173246.3125,\n",
-       "     38042.65234375,\n",
-       "     60413.390625,\n",
-       "     40926.84765625,\n",
-       "     97984.2578125,\n",
-       "     33284.65234375,\n",
-       "     78938.4296875,\n",
-       "     66193.4296875,\n",
-       "     32187.771484375,\n",
-       "     21480.85546875,\n",
-       "     32309.75390625,\n",
-       "     28786.98046875,\n",
-       "     79330.890625,\n",
-       "     -1432.4979248046875,\n",
-       "     10695.7138671875,\n",
-       "     8774.232421875,\n",
-       "     25045.369140625,\n",
-       "     84507.40625,\n",
-       "     17285.712890625,\n",
-       "     23519.638671875,\n",
-       "     19419.4453125,\n",
-       "     25171.025390625,\n",
-       "     14673.1201171875,\n",
-       "     23078.50390625,\n",
-       "     47375.01171875,\n",
-       "     48104.9453125,\n",
-       "     71147.2890625,\n",
-       "     38288.953125,\n",
-       "     22726.609375,\n",
-       "     22989.3125,\n",
-       "     25380.634765625,\n",
-       "     16117.1591796875,\n",
-       "     141947.78125,\n",
-       "     197894.265625,\n",
-       "     36242.86328125,\n",
-       "     21266.84375,\n",
-       "     22684.693359375,\n",
-       "     35684.6640625,\n",
-       "     60435.2734375,\n",
-       "     58215.671875,\n",
-       "     15492.6689453125,\n",
-       "     89727.90625,\n",
-       "     76607.5078125,\n",
-       "     49172.60546875,\n",
-       "     216569.25,\n",
-       "     25287.96875,\n",
-       "     65308.08203125,\n",
-       "     22048.810546875,\n",
-       "     8387.8349609375,\n",
-       "     32126.7890625,\n",
-       "     2719.126953125,\n",
-       "     79432.2734375,\n",
-       "     49878.328125,\n",
-       "     35227.515625,\n",
-       "     26651.919921875,\n",
-       "     19152.947265625,\n",
-       "     115109.09375,\n",
-       "     23798.35546875,\n",
-       "     23987.798828125,\n",
-       "     35485.40234375,\n",
-       "     11664.9013671875,\n",
-       "     23100.46484375,\n",
-       "     28191.5546875,\n",
-       "     41960.29296875,\n",
-       "     25195.87109375,\n",
-       "     30709.34765625,\n",
-       "     58859.73046875,\n",
-       "     16826.650390625,\n",
-       "     10988.0732421875,\n",
-       "     40416.078125,\n",
-       "     58385.1484375,\n",
-       "     22671.58203125,\n",
-       "     22447.556640625,\n",
-       "     13146.28125,\n",
-       "     3150.71728515625,\n",
-       "     73674.625,\n",
-       "     16784.513671875,\n",
-       "     22661.5625,\n",
-       "     44324.5625,\n",
-       "     46941.4375,\n",
-       "     124423.2890625,\n",
-       "     108287.515625,\n",
-       "     -275.660888671875,\n",
-       "     18503.80859375,\n",
-       "     17590.90234375,\n",
-       "     26986.259765625,\n",
-       "     35073.8671875,\n",
-       "     97897.90625,\n",
-       "     42683.984375,\n",
-       "     26883.6796875,\n",
-       "     31239.48828125,\n",
-       "     23415.150390625,\n",
-       "     22655.140625,\n",
-       "     18155.0546875,\n",
-       "     6546.8583984375,\n",
-       "     9419.21875,\n",
-       "     -4117.87939453125,\n",
-       "     20602.771484375,\n",
-       "     24895.21875,\n",
-       "     20532.66796875,\n",
-       "     69457.0625,\n",
-       "     64357.453125,\n",
-       "     19708.40234375,\n",
-       "     27310.90234375,\n",
-       "     13380.79296875,\n",
-       "     109890.96875,\n",
-       "     15409.951171875,\n",
-       "     14514.390625,\n",
-       "     87220.0078125,\n",
-       "     24800.474609375,\n",
-       "     110535.265625,\n",
-       "     43672.265625,\n",
-       "     81139.7421875,\n",
-       "     89001.015625,\n",
-       "     11352.458984375,\n",
-       "     70618.7578125,\n",
-       "     20185.841796875,\n",
-       "     20840.169921875,\n",
-       "     24424.767578125,\n",
-       "     14054.037109375,\n",
-       "     16613.875,\n",
-       "     13399.37109375,\n",
-       "     17971.177734375,\n",
-       "     10108.4521484375,\n",
-       "     28036.4296875,\n",
-       "     52295.6328125,\n",
-       "     35380.08203125,\n",
-       "     61453.43359375,\n",
-       "     9796.5029296875,\n",
-       "     18148.3203125,\n",
-       "     20380.7734375,\n",
-       "     34954.33984375,\n",
-       "     44080.58984375,\n",
-       "     45166.5,\n",
-       "     134838.25,\n",
-       "     34.47021484375,\n",
-       "     65053.234375,\n",
-       "     18119.6875,\n",
-       "     13195.9130859375,\n",
-       "     18033.375,\n",
-       "     76895.1484375,\n",
-       "     12766.2294921875,\n",
-       "     75774.25,\n",
-       "     18391.4609375,\n",
-       "     139609.125,\n",
-       "     44896.77734375,\n",
-       "     11940.498046875,\n",
-       "     70493.234375,\n",
-       "     18957.376953125,\n",
-       "     9673.37109375,\n",
-       "     26316.435546875,\n",
-       "     15348.240234375,\n",
-       "     29803.703125,\n",
-       "     22273.8359375,\n",
-       "     45196.578125,\n",
-       "     27014.75390625,\n",
-       "     3366.7294921875,\n",
-       "     16245.783203125,\n",
-       "     63377.44921875,\n",
-       "     26847.748046875,\n",
-       "     13367.619140625,\n",
-       "     13310.619140625,\n",
-       "     28446.22265625,\n",
-       "     26156.08203125,\n",
-       "     14805.546875,\n",
-       "     21826.861328125,\n",
-       "     47517.5703125,\n",
-       "     54458.828125,\n",
-       "     18878.8359375,\n",
-       "     31010.498046875,\n",
-       "     22140.984375,\n",
-       "     37987.83203125,\n",
-       "     53714.27734375,\n",
-       "     23767.5625,\n",
-       "     21090.60546875,\n",
-       "     21276.80078125,\n",
-       "     23774.494140625,\n",
-       "     7280.4423828125,\n",
-       "     18133.4140625,\n",
-       "     -715.126953125,\n",
-       "     25483.3515625,\n",
-       "     24605.9375,\n",
-       "     29438.05078125,\n",
-       "     40516.54296875,\n",
-       "     21309.08203125,\n",
-       "     46766.5546875,\n",
-       "     10690.958984375,\n",
-       "     55742.484375,\n",
-       "     14359.328125,\n",
-       "     97370.5390625,\n",
-       "     45092.5390625,\n",
-       "     131994.6875,\n",
-       "     55255.17578125,\n",
-       "     65933.0,\n",
-       "     35623.3359375,\n",
-       "     18859.48046875,\n",
-       "     73039.5703125,\n",
-       "     15006.376953125,\n",
-       "     60373.21875,\n",
-       "     3136.341796875,\n",
-       "     35850.01171875,\n",
-       "     28397.080078125,\n",
-       "     89028.4453125,\n",
-       "     72688.2421875,\n",
-       "     32294.33984375,\n",
-       "     65947.90625,\n",
-       "     70144.9609375,\n",
-       "     -12412.365234375,\n",
-       "     29422.45703125,\n",
-       "     64145.0546875,\n",
-       "     90205.3125,\n",
-       "     29660.3671875,\n",
-       "     56683.46875,\n",
-       "     83849.546875,\n",
-       "     30914.302734375,\n",
-       "     20099.775390625,\n",
-       "     42509.1640625,\n",
-       "     11052.9638671875,\n",
-       "     94775.46875,\n",
-       "     19670.07421875,\n",
-       "     98591.6953125,\n",
-       "     36196.078125,\n",
-       "     24977.849609375,\n",
-       "     37196.64453125,\n",
-       "     37921.40625,\n",
-       "     32585.2890625,\n",
-       "     29565.974609375,\n",
-       "     29774.85546875,\n",
-       "     15175.998046875,\n",
-       "     114067.8828125,\n",
-       "     40564.43359375,\n",
-       "     54474.4453125,\n",
-       "     65041.16015625,\n",
-       "     17165.8359375,\n",
-       "     43709.578125,\n",
-       "     61183.625,\n",
-       "     21492.251953125,\n",
-       "     25670.21484375,\n",
-       "     34801.3515625,\n",
-       "     13681.240234375,\n",
-       "     14930.470703125,\n",
-       "     49058.8671875,\n",
-       "     46636.1484375,\n",
-       "     25802.220703125,\n",
-       "     32968.359375,\n",
-       "     23501.875,\n",
-       "     12271.0537109375,\n",
-       "     35832.171875,\n",
-       "     21240.30859375,\n",
-       "     37620.6171875,\n",
-       "     10132.9580078125,\n",
-       "     9806.646484375,\n",
-       "     50847.1484375,\n",
-       "     41635.14453125,\n",
-       "     9519.4375,\n",
-       "     43597.35546875,\n",
-       "     -1186.7822265625,\n",
-       "     21323.6953125,\n",
-       "     101471.2109375,\n",
-       "     11516.294921875,\n",
-       "     25563.25,\n",
-       "     41681.7578125,\n",
-       "     14626.2138671875,\n",
-       "     36032.91796875,\n",
-       "     31719.94921875,\n",
-       "     36590.46875,\n",
-       "     69308.796875,\n",
-       "     -853.5398559570312,\n",
-       "     30104.7109375,\n",
-       "     71779.765625,\n",
-       "     47072.23828125,\n",
-       "     60309.02734375,\n",
-       "     25477.1796875,\n",
-       "     20557.6171875,\n",
-       "     49672.38671875,\n",
-       "     18776.884765625,\n",
-       "     111971.8125,\n",
-       "     28504.408203125,\n",
-       "     2347.626953125,\n",
-       "     30536.033203125,\n",
-       "     15141.86328125,\n",
-       "     14366.30078125,\n",
-       "     63717.5390625,\n",
-       "     75040.0625,\n",
-       "     88302.7734375,\n",
-       "     56473.6484375,\n",
-       "     132567.125,\n",
-       "     34873.6171875,\n",
-       "     26211.71484375,\n",
-       "     61707.390625,\n",
-       "     98261.96875,\n",
-       "     61716.1171875,\n",
-       "     22732.71875,\n",
-       "     12702.92578125,\n",
-       "     11656.5390625,\n",
-       "     23491.091796875,\n",
-       "     34246.4140625,\n",
-       "     10011.40625,\n",
-       "     17436.36328125,\n",
-       "     18173.9453125,\n",
-       "     55476.59375,\n",
-       "     3901.5625,\n",
-       "     40064.7890625,\n",
-       "     -3955.75146484375,\n",
-       "     87184.3203125,\n",
-       "     44381.796875,\n",
-       "     45186.03515625,\n",
-       "     23237.45703125,\n",
-       "     18739.51171875,\n",
-       "     22416.333984375,\n",
-       "     11585.580078125,\n",
-       "     24073.537109375,\n",
-       "     25657.634765625,\n",
-       "     20785.326171875,\n",
-       "     66783.4296875,\n",
-       "     11823.8193359375,\n",
-       "     52244.109375,\n",
-       "     27199.931640625,\n",
-       "     35532.57421875,\n",
-       "     76208.5703125,\n",
-       "     7066.720703125,\n",
-       "     10683.791015625,\n",
-       "     7010.52685546875,\n",
-       "     43856.7265625,\n",
-       "     81659.359375,\n",
-       "     51864.30078125,\n",
-       "     19952.162109375,\n",
-       "     34107.02734375,\n",
-       "     20947.3125,\n",
-       "     50038.08984375,\n",
-       "     -159.0,\n",
-       "     12089.43359375,\n",
-       "     11676.123046875,\n",
-       "     108971.140625,\n",
-       "     21683.626953125,\n",
-       "     31935.34375,\n",
-       "     23214.060546875,\n",
-       "     44252.69921875,\n",
-       "     17608.5859375,\n",
-       "     8779.1904296875,\n",
-       "     59220.6484375,\n",
-       "     22398.384765625,\n",
-       "     31132.98046875,\n",
-       "     35039.66015625,\n",
-       "     29174.203125,\n",
-       "     40716.5625,\n",
-       "     30596.56640625,\n",
-       "     88177.234375,\n",
-       "     27013.5859375,\n",
-       "     38858.6484375,\n",
-       "     19192.80859375,\n",
-       "     28213.88671875,\n",
-       "     8324.7900390625,\n",
-       "     45828.0703125,\n",
-       "     8661.08984375,\n",
-       "     14812.0556640625,\n",
-       "     32449.478515625,\n",
-       "     43268.7734375,\n",
-       "     17871.859375,\n",
-       "     34640.99609375,\n",
-       "     40002.9765625,\n",
-       "     15666.1640625,\n",
-       "     61550.36328125,\n",
-       "     58149.5703125,\n",
-       "     99349.1796875,\n",
-       "     88744.734375,\n",
-       "     30388.1875,\n",
-       "     151692.15625,\n",
-       "     14220.28515625,\n",
-       "     49684.85546875,\n",
-       "     36886.86328125,\n",
-       "     3546.418212890625,\n",
-       "     32242.318359375,\n",
-       "     11286.77734375,\n",
-       "     43921.79296875,\n",
-       "     140884.515625,\n",
-       "     17225.287109375,\n",
-       "     88046.96875,\n",
-       "     30767.08203125,\n",
-       "     18412.998046875,\n",
-       "     55529.671875,\n",
-       "     16762.958984375,\n",
-       "     159593.0625,\n",
-       "     13866.76171875,\n",
-       "     29753.38671875,\n",
-       "     16752.2421875,\n",
-       "     41025.3828125,\n",
-       "     13050.986328125,\n",
-       "     74612.015625,\n",
-       "     12191.423828125,\n",
-       "     51126.74609375,\n",
-       "     41824.6953125,\n",
-       "     2930.2978515625,\n",
-       "     13427.787109375,\n",
-       "     40847.203125,\n",
-       "     50449.61328125,\n",
-       "     20014.7109375,\n",
-       "     10515.1494140625,\n",
-       "     70940.9609375,\n",
-       "     42538.3203125,\n",
-       "     21991.060546875,\n",
-       "     93191.0,\n",
-       "     41498.1796875,\n",
-       "     55685.14453125,\n",
-       "     98469.078125,\n",
-       "     52356.38671875,\n",
-       "     44664.60546875,\n",
-       "     67308.5703125,\n",
-       "     83980.828125,\n",
-       "     52494.28515625,\n",
-       "     21625.1171875,\n",
-       "     15164.9970703125,\n",
-       "     18203.626953125,\n",
-       "     36446.75,\n",
-       "     ...],\n",
-       "    'equiv_household_net_income': [40612.640625,\n",
-       "     2362.838623046875,\n",
-       "     8899.0712890625,\n",
-       "     18229.52734375,\n",
-       "     217617.34375,\n",
-       "     24096.67578125,\n",
-       "     55932.65234375,\n",
-       "     27566.732421875,\n",
-       "     16089.55078125,\n",
-       "     45006.03125,\n",
-       "     70465.1875,\n",
-       "     21866.826171875,\n",
-       "     60728.5,\n",
-       "     24033.255859375,\n",
-       "     28250.783203125,\n",
-       "     53673.6484375,\n",
-       "     36085.91796875,\n",
-       "     62185.38671875,\n",
-       "     46386.90234375,\n",
-       "     19137.978515625,\n",
-       "     50434.8125,\n",
-       "     28644.083984375,\n",
-       "     43336.48046875,\n",
-       "     9140.99609375,\n",
-       "     47131.2265625,\n",
-       "     21241.4140625,\n",
-       "     25489.986328125,\n",
-       "     62493.859375,\n",
-       "     19251.884765625,\n",
-       "     27279.2734375,\n",
-       "     -128300.203125,\n",
-       "     25610.78515625,\n",
-       "     45478.1015625,\n",
-       "     97122.78125,\n",
-       "     -8190.07958984375,\n",
-       "     47562.734375,\n",
-       "     33811.90234375,\n",
-       "     33533.43359375,\n",
-       "     17751.830078125,\n",
-       "     43898.83984375,\n",
-       "     26329.7578125,\n",
-       "     25694.806640625,\n",
-       "     23259.943359375,\n",
-       "     60263.96875,\n",
-       "     32127.94140625,\n",
-       "     8331.0439453125,\n",
-       "     4884.60693359375,\n",
-       "     20566.1015625,\n",
-       "     72541.375,\n",
-       "     42384.80078125,\n",
-       "     -2357.8154296875,\n",
-       "     44116.7265625,\n",
-       "     46954.26953125,\n",
-       "     29220.912109375,\n",
-       "     31152.84765625,\n",
-       "     35558.0078125,\n",
-       "     44021.484375,\n",
-       "     57775.11328125,\n",
-       "     42692.75390625,\n",
-       "     77338.484375,\n",
-       "     45835.12109375,\n",
-       "     20160.4140625,\n",
-       "     9079.255859375,\n",
-       "     33266.0,\n",
-       "     26183.037109375,\n",
-       "     20067.541015625,\n",
-       "     52417.671875,\n",
-       "     51687.140625,\n",
-       "     10199.404296875,\n",
-       "     14709.470703125,\n",
-       "     45595.97265625,\n",
-       "     17026.24609375,\n",
-       "     18444.18359375,\n",
-       "     21370.64453125,\n",
-       "     60767.82421875,\n",
-       "     99638.125,\n",
-       "     20604.837890625,\n",
-       "     21751.609375,\n",
-       "     161280.453125,\n",
-       "     19097.81640625,\n",
-       "     20353.52734375,\n",
-       "     247105.734375,\n",
-       "     19993.36328125,\n",
-       "     12691.7890625,\n",
-       "     15530.5810546875,\n",
-       "     225671.484375,\n",
-       "     84108.90625,\n",
-       "     32303.978515625,\n",
-       "     13907.29296875,\n",
-       "     15947.091796875,\n",
-       "     62917.5859375,\n",
-       "     61609.8125,\n",
-       "     25661.619140625,\n",
-       "     80058.3828125,\n",
-       "     41748.42578125,\n",
-       "     37349.42578125,\n",
-       "     69476.015625,\n",
-       "     36880.13671875,\n",
-       "     43389.46875,\n",
-       "     23828.005859375,\n",
-       "     38363.6171875,\n",
-       "     70375.59375,\n",
-       "     16322.8232421875,\n",
-       "     21051.166015625,\n",
-       "     42185.12890625,\n",
-       "     36170.58984375,\n",
-       "     38829.1640625,\n",
-       "     15154.12890625,\n",
-       "     38725.96875,\n",
-       "     23968.568359375,\n",
-       "     60679.34375,\n",
-       "     15362.62890625,\n",
-       "     57701.05859375,\n",
-       "     31074.58203125,\n",
-       "     3256.020751953125,\n",
-       "     29967.029296875,\n",
-       "     50362.12109375,\n",
-       "     113227.3203125,\n",
-       "     316855.375,\n",
-       "     13937.6279296875,\n",
-       "     2153.59375,\n",
-       "     32303.0546875,\n",
-       "     97273.859375,\n",
-       "     33150.015625,\n",
-       "     46940.91015625,\n",
-       "     59251.78515625,\n",
-       "     73418.28125,\n",
-       "     27630.654296875,\n",
-       "     46273.09765625,\n",
-       "     43837.7109375,\n",
-       "     86477.265625,\n",
-       "     51564.0,\n",
-       "     168392.390625,\n",
-       "     39940.87109375,\n",
-       "     35078.8203125,\n",
-       "     42842.72265625,\n",
-       "     18483.453125,\n",
-       "     35525.08203125,\n",
-       "     27049.775390625,\n",
-       "     71105.671875,\n",
-       "     26867.763671875,\n",
-       "     39980.4609375,\n",
-       "     14963.4404296875,\n",
-       "     18747.482421875,\n",
-       "     31671.96484375,\n",
-       "     53297.1015625,\n",
-       "     99517.7109375,\n",
-       "     33521.0078125,\n",
-       "     63616.23046875,\n",
-       "     24202.1171875,\n",
-       "     21200.03125,\n",
-       "     42806.953125,\n",
-       "     49534.875,\n",
-       "     30131.814453125,\n",
-       "     48914.41015625,\n",
-       "     37705.34375,\n",
-       "     73248.4765625,\n",
-       "     41437.140625,\n",
-       "     48210.4375,\n",
-       "     63886.953125,\n",
-       "     25467.625,\n",
-       "     24121.6328125,\n",
-       "     49496.640625,\n",
-       "     44545.55859375,\n",
-       "     101814.015625,\n",
-       "     43344.296875,\n",
-       "     13853.8837890625,\n",
-       "     17442.4921875,\n",
-       "     8298.501953125,\n",
-       "     30107.541015625,\n",
-       "     20844.984375,\n",
-       "     33280.8359375,\n",
-       "     16947.55859375,\n",
-       "     14254.9775390625,\n",
-       "     43346.359375,\n",
-       "     19015.880859375,\n",
-       "     60416.58203125,\n",
-       "     42236.6640625,\n",
-       "     39099.49609375,\n",
-       "     47694.18359375,\n",
-       "     14255.3603515625,\n",
-       "     29689.8984375,\n",
-       "     22420.833984375,\n",
-       "     105075.84375,\n",
-       "     47845.6015625,\n",
-       "     13056.5869140625,\n",
-       "     15698.19921875,\n",
-       "     36886.46484375,\n",
-       "     87334.4375,\n",
-       "     12505.6552734375,\n",
-       "     47600.73828125,\n",
-       "     20474.3359375,\n",
-       "     13592.9658203125,\n",
-       "     28912.896484375,\n",
-       "     53302.08984375,\n",
-       "     16642.03515625,\n",
-       "     27178.29296875,\n",
-       "     24561.529296875,\n",
-       "     48811.796875,\n",
-       "     18696.869140625,\n",
-       "     51025.1171875,\n",
-       "     37738.44140625,\n",
-       "     14799.201171875,\n",
-       "     55756.3828125,\n",
-       "     37675.6171875,\n",
-       "     51829.9609375,\n",
-       "     25018.232421875,\n",
-       "     29068.619140625,\n",
-       "     73939.0234375,\n",
-       "     40214.30078125,\n",
-       "     57649.01953125,\n",
-       "     50129.73046875,\n",
-       "     31549.41015625,\n",
-       "     -3453.2138671875,\n",
-       "     16950.791015625,\n",
-       "     14808.0078125,\n",
-       "     22234.880859375,\n",
-       "     118737.8671875,\n",
-       "     44725.8671875,\n",
-       "     29973.57421875,\n",
-       "     67166.0234375,\n",
-       "     5318.83203125,\n",
-       "     25230.126953125,\n",
-       "     30955.6640625,\n",
-       "     22417.892578125,\n",
-       "     11138.1923828125,\n",
-       "     24124.376953125,\n",
-       "     16058.3828125,\n",
-       "     59351.1953125,\n",
-       "     45891.73828125,\n",
-       "     28873.31640625,\n",
-       "     18297.111328125,\n",
-       "     37239.30859375,\n",
-       "     61049.2109375,\n",
-       "     18637.4296875,\n",
-       "     32094.107421875,\n",
-       "     18177.232421875,\n",
-       "     79205.7265625,\n",
-       "     32520.69921875,\n",
-       "     45535.484375,\n",
-       "     40991.14453125,\n",
-       "     33298.78125,\n",
-       "     33267.5,\n",
-       "     15517.15234375,\n",
-       "     59907.6484375,\n",
-       "     11539.9931640625,\n",
-       "     8774.87890625,\n",
-       "     16234.3671875,\n",
-       "     50883.1015625,\n",
-       "     51231.140625,\n",
-       "     50064.5625,\n",
-       "     49962.41015625,\n",
-       "     21944.61328125,\n",
-       "     39768.765625,\n",
-       "     24867.65625,\n",
-       "     38259.5859375,\n",
-       "     18414.41015625,\n",
-       "     51767.0,\n",
-       "     35374.1171875,\n",
-       "     26069.4140625,\n",
-       "     23747.06640625,\n",
-       "     13571.314453125,\n",
-       "     39605.078125,\n",
-       "     30845.408203125,\n",
-       "     16209.2216796875,\n",
-       "     90212.015625,\n",
-       "     35720.7421875,\n",
-       "     121471.2265625,\n",
-       "     22283.375,\n",
-       "     88273.328125,\n",
-       "     30186.994140625,\n",
-       "     12437.9423828125,\n",
-       "     27801.673828125,\n",
-       "     21308.73046875,\n",
-       "     19759.4375,\n",
-       "     20402.1484375,\n",
-       "     64170.578125,\n",
-       "     20881.791015625,\n",
-       "     54170.50390625,\n",
-       "     18040.4921875,\n",
-       "     36257.875,\n",
-       "     38395.70703125,\n",
-       "     61135.41796875,\n",
-       "     64518.39453125,\n",
-       "     2513.564453125,\n",
-       "     28178.876953125,\n",
-       "     28953.91796875,\n",
-       "     23956.55859375,\n",
-       "     30529.337890625,\n",
-       "     44649.2265625,\n",
-       "     49269.5078125,\n",
-       "     21098.93359375,\n",
-       "     24274.47265625,\n",
-       "     71097.234375,\n",
-       "     55129.42578125,\n",
-       "     25107.392578125,\n",
-       "     62042.34375,\n",
-       "     6707.26025390625,\n",
-       "     31435.607421875,\n",
-       "     30657.30078125,\n",
-       "     66311.53125,\n",
-       "     34395.94921875,\n",
-       "     51984.62109375,\n",
-       "     6350.642578125,\n",
-       "     58979.109375,\n",
-       "     8613.646484375,\n",
-       "     32859.58984375,\n",
-       "     20918.267578125,\n",
-       "     31786.40625,\n",
-       "     68974.796875,\n",
-       "     49576.50390625,\n",
-       "     32159.701171875,\n",
-       "     17937.65234375,\n",
-       "     35802.98046875,\n",
-       "     33614.91015625,\n",
-       "     63605.0078125,\n",
-       "     4395.53271484375,\n",
-       "     56507.73828125,\n",
-       "     41265.7578125,\n",
-       "     44340.9921875,\n",
-       "     12429.9150390625,\n",
-       "     -1644.28271484375,\n",
-       "     32880.10546875,\n",
-       "     47212.578125,\n",
-       "     16325.2197265625,\n",
-       "     55094.984375,\n",
-       "     96459.9921875,\n",
-       "     77228.296875,\n",
-       "     69528.7109375,\n",
-       "     73909.6796875,\n",
-       "     19900.49609375,\n",
-       "     35571.79296875,\n",
-       "     25699.490234375,\n",
-       "     54085.47265625,\n",
-       "     93547.6015625,\n",
-       "     71761.625,\n",
-       "     27250.763671875,\n",
-       "     27660.080078125,\n",
-       "     42534.74609375,\n",
-       "     82521.7734375,\n",
-       "     28321.294921875,\n",
-       "     19648.130859375,\n",
-       "     7053.64501953125,\n",
-       "     30859.658203125,\n",
-       "     45128.25390625,\n",
-       "     51327.2109375,\n",
-       "     8135.8515625,\n",
-       "     21854.625,\n",
-       "     59420.953125,\n",
-       "     31358.6484375,\n",
-       "     26687.7265625,\n",
-       "     25586.009765625,\n",
-       "     27210.068359375,\n",
-       "     47278.2578125,\n",
-       "     64068.02734375,\n",
-       "     62055.109375,\n",
-       "     12832.828125,\n",
-       "     -792.3766479492188,\n",
-       "     33257.31640625,\n",
-       "     39118.5859375,\n",
-       "     33558.76171875,\n",
-       "     44861.93359375,\n",
-       "     11799.6728515625,\n",
-       "     11151.3671875,\n",
-       "     40701.59765625,\n",
-       "     30369.8125,\n",
-       "     43019.609375,\n",
-       "     26801.71875,\n",
-       "     34544.09765625,\n",
-       "     19197.04296875,\n",
-       "     46092.71875,\n",
-       "     36481.62109375,\n",
-       "     21715.193359375,\n",
-       "     65425.62109375,\n",
-       "     7440.63525390625,\n",
-       "     57932.1484375,\n",
-       "     33294.61328125,\n",
-       "     16857.1484375,\n",
-       "     5678.89599609375,\n",
-       "     16205.912109375,\n",
-       "     34193.69921875,\n",
-       "     41092.54296875,\n",
-       "     25489.2890625,\n",
-       "     26718.1796875,\n",
-       "     30139.697265625,\n",
-       "     14505.0283203125,\n",
-       "     14505.4970703125,\n",
-       "     16871.986328125,\n",
-       "     90960.25,\n",
-       "     104724.7578125,\n",
-       "     15804.052734375,\n",
-       "     54046.39453125,\n",
-       "     30848.57421875,\n",
-       "     12219.8349609375,\n",
-       "     59259.52734375,\n",
-       "     52564.08203125,\n",
-       "     17419.1640625,\n",
-       "     53525.6484375,\n",
-       "     40018.10546875,\n",
-       "     65280.41015625,\n",
-       "     27089.173828125,\n",
-       "     33412.703125,\n",
-       "     68620.59375,\n",
-       "     39082.1484375,\n",
-       "     32903.55078125,\n",
-       "     15652.1513671875,\n",
-       "     21097.576171875,\n",
-       "     184385.484375,\n",
-       "     64926.5625,\n",
-       "     29691.791015625,\n",
-       "     9041.169921875,\n",
-       "     66293.375,\n",
-       "     21853.90625,\n",
-       "     55634.92578125,\n",
-       "     6044.4794921875,\n",
-       "     28755.689453125,\n",
-       "     32957.21484375,\n",
-       "     14718.72265625,\n",
-       "     92676.1015625,\n",
-       "     16796.87109375,\n",
-       "     44432.0625,\n",
-       "     17247.78125,\n",
-       "     15747.1083984375,\n",
-       "     90793.0546875,\n",
-       "     20033.544921875,\n",
-       "     20326.5234375,\n",
-       "     37734.2890625,\n",
-       "     79883.6875,\n",
-       "     65422.84375,\n",
-       "     87401.1015625,\n",
-       "     30277.958984375,\n",
-       "     46782.796875,\n",
-       "     87724.796875,\n",
-       "     77575.9453125,\n",
-       "     19460.52734375,\n",
-       "     15225.3583984375,\n",
-       "     40542.1484375,\n",
-       "     24058.708984375,\n",
-       "     30213.30859375,\n",
-       "     6311.19580078125,\n",
-       "     40537.4609375,\n",
-       "     43755.609375,\n",
-       "     31033.92578125,\n",
-       "     41515.2421875,\n",
-       "     48741.9375,\n",
-       "     40935.84765625,\n",
-       "     29709.4609375,\n",
-       "     26171.783203125,\n",
-       "     21370.21484375,\n",
-       "     79704.4140625,\n",
-       "     41189.90234375,\n",
-       "     34224.38671875,\n",
-       "     11110.9140625,\n",
-       "     27948.83984375,\n",
-       "     32238.6328125,\n",
-       "     28379.6875,\n",
-       "     22969.412109375,\n",
-       "     29876.63671875,\n",
-       "     63930.609375,\n",
-       "     48482.4765625,\n",
-       "     35916.2421875,\n",
-       "     51959.78125,\n",
-       "     35788.31640625,\n",
-       "     34141.125,\n",
-       "     38203.734375,\n",
-       "     17440.0625,\n",
-       "     50744.5625,\n",
-       "     33582.359375,\n",
-       "     30143.400390625,\n",
-       "     55596.76171875,\n",
-       "     55357.08984375,\n",
-       "     48081.2578125,\n",
-       "     16193.4423828125,\n",
-       "     15780.8330078125,\n",
-       "     170830.65625,\n",
-       "     40235.8515625,\n",
-       "     43690.75390625,\n",
-       "     23221.171875,\n",
-       "     62345.078125,\n",
-       "     32164.08984375,\n",
-       "     14920.4912109375,\n",
-       "     28834.38671875,\n",
-       "     26095.859375,\n",
-       "     18654.09765625,\n",
-       "     27218.37109375,\n",
-       "     86997.984375,\n",
-       "     48679.578125,\n",
-       "     26308.49609375,\n",
-       "     38530.5859375,\n",
-       "     29709.251953125,\n",
-       "     25569.6953125,\n",
-       "     5451.93408203125,\n",
-       "     38885.515625,\n",
-       "     12004.33984375,\n",
-       "     34470.05859375,\n",
-       "     35211.96875,\n",
-       "     68639.3828125,\n",
-       "     46826.22265625,\n",
-       "     26013.9921875,\n",
-       "     41993.12109375,\n",
-       "     35568.87109375,\n",
-       "     26139.12109375,\n",
-       "     49938.30859375,\n",
-       "     78099.7265625,\n",
-       "     27188.775390625,\n",
-       "     55438.8359375,\n",
-       "     39125.7421875,\n",
-       "     39791.87890625,\n",
-       "     21625.421875,\n",
-       "     24531.126953125,\n",
-       "     100882.6875,\n",
-       "     106650.5234375,\n",
-       "     32891.84375,\n",
-       "     36127.82421875,\n",
-       "     20906.50390625,\n",
-       "     24838.578125,\n",
-       "     29075.56640625,\n",
-       "     84486.1796875,\n",
-       "     23874.271484375,\n",
-       "     -1615.9718017578125,\n",
-       "     20551.357421875,\n",
-       "     17624.380859375,\n",
-       "     31479.3515625,\n",
-       "     44176.32421875,\n",
-       "     5805.54296875,\n",
-       "     69320.9921875,\n",
-       "     15247.6455078125,\n",
-       "     35150.09765625,\n",
-       "     8555.2763671875,\n",
-       "     65778.1796875,\n",
-       "     52176.80078125,\n",
-       "     31399.0078125,\n",
-       "     46658.87890625,\n",
-       "     16217.740234375,\n",
-       "     15291.5927734375,\n",
-       "     30969.162109375,\n",
-       "     15988.8408203125,\n",
-       "     62409.30859375,\n",
-       "     35693.7421875,\n",
-       "     43061.1875,\n",
-       "     20040.859375,\n",
-       "     40024.05078125,\n",
-       "     20793.876953125,\n",
-       "     51141.66796875,\n",
-       "     10602.333984375,\n",
-       "     39263.2890625,\n",
-       "     18259.47265625,\n",
-       "     25103.853515625,\n",
-       "     36528.0625,\n",
-       "     56417.15625,\n",
-       "     11804.5087890625,\n",
-       "     28856.37109375,\n",
-       "     23144.328125,\n",
-       "     30341.091796875,\n",
-       "     37098.3046875,\n",
-       "     14257.025390625,\n",
-       "     40929.6640625,\n",
-       "     109668.921875,\n",
-       "     70030.0078125,\n",
-       "     55576.515625,\n",
-       "     44266.19140625,\n",
-       "     32204.1796875,\n",
-       "     22289.6171875,\n",
-       "     34258.8671875,\n",
-       "     16042.4814453125,\n",
-       "     27571.638671875,\n",
-       "     -1925.006103515625,\n",
-       "     16447.798828125,\n",
-       "     48060.703125,\n",
-       "     49303.4921875,\n",
-       "     20046.0625,\n",
-       "     7492.453125,\n",
-       "     33167.640625,\n",
-       "     12819.9794921875,\n",
-       "     26416.32421875,\n",
-       "     78804.765625,\n",
-       "     14535.3544921875,\n",
-       "     28316.1015625,\n",
-       "     93331.9375,\n",
-       "     49323.765625,\n",
-       "     38599.62890625,\n",
-       "     25429.947265625,\n",
-       "     34074.265625,\n",
-       "     12622.2392578125,\n",
-       "     23919.63671875,\n",
-       "     30516.61328125,\n",
-       "     113232.8828125,\n",
-       "     38042.65234375,\n",
-       "     60413.390625,\n",
-       "     25579.279296875,\n",
-       "     59026.6640625,\n",
-       "     33284.65234375,\n",
-       "     51593.74609375,\n",
-       "     38262.09765625,\n",
-       "     19390.224609375,\n",
-       "     32060.9765625,\n",
-       "     32309.75390625,\n",
-       "     23989.150390625,\n",
-       "     118404.3125,\n",
-       "     -2138.056640625,\n",
-       "     15963.751953125,\n",
-       "     13095.869140625,\n",
-       "     28787.78125,\n",
-       "     35358.74609375,\n",
-       "     17285.712890625,\n",
-       "     23519.638671875,\n",
-       "     28984.24609375,\n",
-       "     25171.025390625,\n",
-       "     21900.1796875,\n",
-       "     34445.52734375,\n",
-       "     39479.17578125,\n",
-       "     48104.9453125,\n",
-       "     71147.2890625,\n",
-       "     57147.69140625,\n",
-       "     22726.609375,\n",
-       "     22989.3125,\n",
-       "     37881.54296875,\n",
-       "     16117.1591796875,\n",
-       "     141947.78125,\n",
-       "     129342.65625,\n",
-       "     30202.384765625,\n",
-       "     31741.556640625,\n",
-       "     33857.75,\n",
-       "     35684.6640625,\n",
-       "     60435.2734375,\n",
-       "     43771.1796875,\n",
-       "     23123.38671875,\n",
-       "     51865.83984375,\n",
-       "     114339.5625,\n",
-       "     40977.16796875,\n",
-       "     216569.25,\n",
-       "     25287.96875,\n",
-       "     46648.62890625,\n",
-       "     32908.671875,\n",
-       "     8387.8349609375,\n",
-       "     32126.7890625,\n",
-       "     4058.3984375,\n",
-       "     47850.76953125,\n",
-       "     35627.37890625,\n",
-       "     26486.853515625,\n",
-       "     26651.919921875,\n",
-       "     28586.48828125,\n",
-       "     82220.78125,\n",
-       "     35519.93359375,\n",
-       "     35802.68359375,\n",
-       "     52963.28515625,\n",
-       "     17410.30078125,\n",
-       "     23100.46484375,\n",
-       "     28191.5546875,\n",
-       "     29971.638671875,\n",
-       "     20996.55859375,\n",
-       "     30709.34765625,\n",
-       "     58859.73046875,\n",
-       "     25114.40234375,\n",
-       "     16400.109375,\n",
-       "     40416.078125,\n",
-       "     58385.1484375,\n",
-       "     33838.1796875,\n",
-       "     33503.81640625,\n",
-       "     13146.28125,\n",
-       "     4702.56298828125,\n",
-       "     73674.625,\n",
-       "     16784.513671875,\n",
-       "     33823.2265625,\n",
-       "     44324.5625,\n",
-       "     46941.4375,\n",
-       "     88873.78125,\n",
-       "     77348.2265625,\n",
-       "     -180.17051696777344,\n",
-       "     27617.625,\n",
-       "     26255.078125,\n",
-       "     26986.259765625,\n",
-       "     35073.8671875,\n",
-       "     97897.90625,\n",
-       "     42683.984375,\n",
-       "     19202.62890625,\n",
-       "     46626.1015625,\n",
-       "     23415.150390625,\n",
-       "     22655.140625,\n",
-       "     16967.33984375,\n",
-       "     6546.8583984375,\n",
-       "     14058.53515625,\n",
-       "     -4117.87939453125,\n",
-       "     30750.404296875,\n",
-       "     24895.21875,\n",
-       "     20532.66796875,\n",
-       "     49612.1875,\n",
-       "     60147.1484375,\n",
-       "     29415.525390625,\n",
-       "     18578.845703125,\n",
-       "     13380.79296875,\n",
-       "     78493.546875,\n",
-       "     22999.92578125,\n",
-       "     10913.0751953125,\n",
-       "     87220.0078125,\n",
-       "     28506.29296875,\n",
-       "     78953.765625,\n",
-       "     43672.265625,\n",
-       "     61007.32421875,\n",
-       "     74167.5078125,\n",
-       "     11352.458984375,\n",
-       "     70618.7578125,\n",
-       "     20185.841796875,\n",
-       "     20840.169921875,\n",
-       "     36454.875,\n",
-       "     16154.0654296875,\n",
-       "     24796.828125,\n",
-       "     12522.7763671875,\n",
-       "     26822.65234375,\n",
-       "     15087.2412109375,\n",
-       "     28036.4296875,\n",
-       "     52295.6328125,\n",
-       "     29483.400390625,\n",
-       "     46205.5859375,\n",
-       "     14621.6455078125,\n",
-       "     27087.044921875,\n",
-       "     30419.064453125,\n",
-       "     52170.65625,\n",
-       "     31486.13671875,\n",
-       "     67412.6875,\n",
-       "     101382.140625,\n",
-       "     51.448081970214844,\n",
-       "     65053.234375,\n",
-       "     27044.30859375,\n",
-       "     13195.9130859375,\n",
-       "     18033.375,\n",
-       "     76895.1484375,\n",
-       "     19054.07421875,\n",
-       "     54124.46484375,\n",
-       "     27449.94140625,\n",
-       "     99720.8046875,\n",
-       "     21794.552734375,\n",
-       "     9950.4150390625,\n",
-       "     53002.4296875,\n",
-       "     28294.591796875,\n",
-       "     14437.8671875,\n",
-       "     19786.79296875,\n",
-       "     15348.240234375,\n",
-       "     44483.13671875,\n",
-       "     22273.8359375,\n",
-       "     67457.578125,\n",
-       "     27014.75390625,\n",
-       "     5024.96923828125,\n",
-       "     16245.783203125,\n",
-       "     45269.60546875,\n",
-       "     30859.48046875,\n",
-       "     19951.669921875,\n",
-       "     19866.595703125,\n",
-       "     42457.046875,\n",
-       "     26156.08203125,\n",
-       "     22097.830078125,\n",
-       "     32577.404296875,\n",
-       "     35727.49609375,\n",
-       "     54458.828125,\n",
-       "     28177.3671875,\n",
-       "     46284.32421875,\n",
-       "     22140.984375,\n",
-       "     37987.83203125,\n",
-       "     35107.37109375,\n",
-       "     35473.97265625,\n",
-       "     31478.515625,\n",
-       "     31756.41796875,\n",
-       "     35484.3203125,\n",
-       "     8368.32421875,\n",
-       "     18133.4140625,\n",
-       "     -1067.3536376953125,\n",
-       "     18202.39453125,\n",
-       "     22996.201171875,\n",
-       "     24531.708984375,\n",
-       "     60472.44921875,\n",
-       "     31804.599609375,\n",
-       "     69800.828125,\n",
-       "     15956.6552734375,\n",
-       "     55742.484375,\n",
-       "     14359.328125,\n",
-       "     73210.9296875,\n",
-       "     45092.5390625,\n",
-       "     79514.875,\n",
-       "     55255.17578125,\n",
-       "     65933.0,\n",
-       "     35623.3359375,\n",
-       "     18859.48046875,\n",
-       "     73039.5703125,\n",
-       "     22397.576171875,\n",
-       "     43123.7265625,\n",
-       "     2240.244140625,\n",
-       "     35850.01171875,\n",
-       "     42383.69921875,\n",
-       "     58188.52734375,\n",
-       "     51920.17578125,\n",
-       "     48200.5078125,\n",
-       "     54956.5859375,\n",
-       "     70144.9609375,\n",
-       "     -12412.365234375,\n",
-       "     43914.11328125,\n",
-       "     64145.0546875,\n",
-       "     45329.30078125,\n",
-       "     29660.3671875,\n",
-       "     56683.46875,\n",
-       "     59892.53515625,\n",
-       "     30914.302734375,\n",
-       "     29999.6640625,\n",
-       "     31961.77734375,\n",
-       "     16496.9609375,\n",
-       "     59234.66796875,\n",
-       "     29358.318359375,\n",
-       "     74129.09375,\n",
-       "     25854.341796875,\n",
-       "     24977.849609375,\n",
-       "     26569.033203125,\n",
-       "     37921.40625,\n",
-       "     48634.7578125,\n",
-       "     18478.734375,\n",
-       "     44440.08203125,\n",
-       "     15175.998046875,\n",
-       "     81477.0625,\n",
-       "     30499.572265625,\n",
-       "     54474.4453125,\n",
-       "     60786.12890625,\n",
-       "     25620.650390625,\n",
-       "     28568.3515625,\n",
-       "     43702.58984375,\n",
-       "     32077.986328125,\n",
-       "     38313.75390625,\n",
-       "     24858.109375,\n",
-       "     20419.76171875,\n",
-       "     14930.470703125,\n",
-       "     49058.8671875,\n",
-       "     46636.1484375,\n",
-       "     25802.220703125,\n",
-       "     32968.359375,\n",
-       "     16787.0546875,\n",
-       "     18315.005859375,\n",
-       "     35832.171875,\n",
-       "     31701.953125,\n",
-       "     28286.177734375,\n",
-       "     10132.9580078125,\n",
-       "     14636.78515625,\n",
-       "     50847.1484375,\n",
-       "     31304.619140625,\n",
-       "     14208.115234375,\n",
-       "     43597.35546875,\n",
-       "     -1186.7822265625,\n",
-       "     16032.853515625,\n",
-       "     76294.140625,\n",
-       "     11516.294921875,\n",
-       "     38154.10546875,\n",
-       "     41681.7578125,\n",
-       "     21830.169921875,\n",
-       "     23550.927734375,\n",
-       "     47343.20703125,\n",
-       "     22869.04296875,\n",
-       "     49506.28515625,\n",
-       "     -1273.9400634765625,\n",
-       "     30104.7109375,\n",
-       "     71779.765625,\n",
-       "     70257.0703125,\n",
-       "     60309.02734375,\n",
-       "     25477.1796875,\n",
-       "     30683.009765625,\n",
-       "     37347.65625,\n",
-       "     28025.201171875,\n",
-       "     111971.8125,\n",
-       "     42543.890625,\n",
-       "     2347.626953125,\n",
-       "     19085.01953125,\n",
-       "     22599.794921875,\n",
-       "     21442.240234375,\n",
-       "     63717.5390625,\n",
-       "     75040.0625,\n",
-       "     88302.7734375,\n",
-       "     35296.03125,\n",
-       "     99674.5234375,\n",
-       "     34873.6171875,\n",
-       "     39121.9609375,\n",
-       "     51422.82421875,\n",
-       "     52829.015625,\n",
-       "     40337.33203125,\n",
-       "     33929.4296875,\n",
-       "     18959.58984375,\n",
-       "     17397.818359375,\n",
-       "     23491.091796875,\n",
-       "     34246.4140625,\n",
-       "     7151.00439453125,\n",
-       "     26024.421875,\n",
-       "     18173.9453125,\n",
-       "     55476.59375,\n",
-       "     5823.2275390625,\n",
-       "     40064.7890625,\n",
-       "     -3955.75146484375,\n",
-       "     46873.2890625,\n",
-       "     25654.216796875,\n",
-       "     67441.84375,\n",
-       "     23237.45703125,\n",
-       "     18739.51171875,\n",
-       "     33457.21484375,\n",
-       "     17291.91015625,\n",
-       "     27670.732421875,\n",
-       "     38294.9765625,\n",
-       "     31022.875,\n",
-       "     41739.64453125,\n",
-       "     17647.490234375,\n",
-       "     39281.28515625,\n",
-       "     40596.91015625,\n",
-       "     35532.57421875,\n",
-       "     45908.77734375,\n",
-       "     10547.34375,\n",
-       "     15945.9560546875,\n",
-       "     8058.07666015625,\n",
-       "     65457.80078125,\n",
-       "     49192.38671875,\n",
-       "     37045.9296875,\n",
-       "     19952.162109375,\n",
-       "     34107.02734375,\n",
-       "     31264.64453125,\n",
-       "     37622.62109375,\n",
-       "     -237.3134307861328,\n",
-       "     18043.9296875,\n",
-       "     17427.048828125,\n",
-       "     62989.09765625,\n",
-       "     17073.72265625,\n",
-       "     31935.34375,\n",
-       "     34647.8515625,\n",
-       "     44252.69921875,\n",
-       "     26281.470703125,\n",
-       "     13103.2685546875,\n",
-       "     59220.6484375,\n",
-       "     22398.384765625,\n",
-       "     31132.98046875,\n",
-       "     26345.607421875,\n",
-       "     29174.203125,\n",
-       "     60770.98828125,\n",
-       "     28594.919921875,\n",
-       "     57632.1796875,\n",
-       "     27013.5859375,\n",
-       "     38858.6484375,\n",
-       "     28645.982421875,\n",
-       "     17633.6796875,\n",
-       "     12425.0595703125,\n",
-       "     45828.0703125,\n",
-       "     12926.9990234375,\n",
-       "     14812.0556640625,\n",
-       "     32449.478515625,\n",
-       "     43268.7734375,\n",
-       "     13437.48828125,\n",
-       "     34640.99609375,\n",
-       "     40002.9765625,\n",
-       "     23382.333984375,\n",
-       "     51291.96875,\n",
-       "     48457.97265625,\n",
-       "     62093.23828125,\n",
-       "     88744.734375,\n",
-       "     30388.1875,\n",
-       "     141768.359375,\n",
-       "     21224.306640625,\n",
-       "     41404.04296875,\n",
-       "     55055.01953125,\n",
-       "     3546.418212890625,\n",
-       "     48122.86328125,\n",
-       "     16845.935546875,\n",
-       "     36601.4921875,\n",
-       "     92081.3828125,\n",
-       "     17225.287109375,\n",
-       "     88046.96875,\n",
-       "     30767.08203125,\n",
-       "     27482.0859375,\n",
-       "     55529.671875,\n",
-       "     25019.341796875,\n",
-       "     159593.0625,\n",
-       "     13866.76171875,\n",
-       "     44408.0390625,\n",
-       "     25003.345703125,\n",
-       "     26813.9765625,\n",
-       "     19479.083984375,\n",
-       "     44947.0,\n",
-       "     18196.154296875,\n",
-       "     33416.17578125,\n",
-       "     27336.40234375,\n",
-       "     2930.2978515625,\n",
-       "     15434.23828125,\n",
-       "     60965.97265625,\n",
-       "     50449.61328125,\n",
-       "     20014.7109375,\n",
-       "     12086.37890625,\n",
-       "     70940.9609375,\n",
-       "     42538.3203125,\n",
-       "     32822.4765625,\n",
-       "     93191.0,\n",
-       "     41498.1796875,\n",
-       "     39775.10546875,\n",
-       "     98469.078125,\n",
-       "     39365.703125,\n",
-       "     66663.5859375,\n",
-       "     67308.5703125,\n",
-       "     69984.0234375,\n",
-       "     52494.28515625,\n",
-       "     32276.29296875,\n",
-       "     22634.32421875,\n",
-       "     18203.626953125,\n",
-       "     30372.291015625,\n",
-       "     ...],\n",
-       "    'household_income_decile': [4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     8,\n",
-       "     3,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     6,\n",
-       "     6,\n",
-       "     2,\n",
-       "     7,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     2,\n",
-       "     6,\n",
-       "     8,\n",
-       "     -1,\n",
-       "     7,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     4,\n",
-       "     -1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     6,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     9,\n",
-       "     8,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     3,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     3,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     10,\n",
-       "     10,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     4,\n",
-       "     2,\n",
-       "     7,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     10,\n",
-       "     6,\n",
-       "     10,\n",
-       "     3,\n",
-       "     9,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     7,\n",
-       "     6,\n",
-       "     8,\n",
-       "     4,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     7,\n",
-       "     6,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     9,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     5,\n",
-       "     3,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     8,\n",
-       "     2,\n",
-       "     -1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     9,\n",
-       "     4,\n",
-       "     2,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     5,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     10,\n",
-       "     2,\n",
-       "     8,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     5,\n",
-       "     5,\n",
-       "     3,\n",
-       "     8,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     9,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     3,\n",
-       "     7,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     6,\n",
-       "     3,\n",
-       "     8,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     5,\n",
-       "     9,\n",
-       "     9,\n",
-       "     8,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     8,\n",
-       "     9,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     7,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     6,\n",
-       "     6,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     3,\n",
-       "     6,\n",
-       "     1,\n",
-       "     8,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     10,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     7,\n",
-       "     8,\n",
-       "     1,\n",
-       "     6,\n",
-       "     3,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     10,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     10,\n",
-       "     9,\n",
-       "     5,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     9,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     7,\n",
-       "     6,\n",
-       "     10,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     7,\n",
-       "     4,\n",
-       "     3,\n",
-       "     5,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     7,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     4,\n",
-       "     7,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     9,\n",
-       "     10,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     8,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     3,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     7,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     6,\n",
-       "     9,\n",
-       "     6,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     2,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     10,\n",
-       "     3,\n",
-       "     6,\n",
-       "     3,\n",
-       "     8,\n",
-       "     2,\n",
-       "     7,\n",
-       "     6,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     7,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     10,\n",
-       "     10,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     6,\n",
-       "     5,\n",
-       "     1,\n",
-       "     8,\n",
-       "     7,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     7,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     9,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     10,\n",
-       "     9,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     9,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     9,\n",
-       "     4,\n",
-       "     7,\n",
-       "     8,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     3,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     4,\n",
-       "     10,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     10,\n",
-       "     4,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     8,\n",
-       "     4,\n",
-       "     10,\n",
-       "     5,\n",
-       "     6,\n",
-       "     3,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     8,\n",
-       "     7,\n",
-       "     2,\n",
-       "     6,\n",
-       "     6,\n",
-       "     -1,\n",
-       "     2,\n",
-       "     6,\n",
-       "     8,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     8,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     9,\n",
-       "     3,\n",
-       "     5,\n",
-       "     6,\n",
-       "     1,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     1,\n",
-       "     4,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     9,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     6,\n",
-       "     -1,\n",
-       "     2,\n",
-       "     7,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     9,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     7,\n",
-       "     8,\n",
-       "     5,\n",
-       "     10,\n",
-       "     3,\n",
-       "     2,\n",
-       "     6,\n",
-       "     8,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     -1,\n",
-       "     8,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     7,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     4,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     9,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     6,\n",
-       "     5,\n",
-       "     8,\n",
-       "     8,\n",
-       "     2,\n",
-       "     10,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     10,\n",
-       "     1,\n",
-       "     8,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     10,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     4,\n",
-       "     1,\n",
-       "     8,\n",
-       "     3,\n",
-       "     5,\n",
-       "     8,\n",
-       "     5,\n",
-       "     4,\n",
-       "     6,\n",
-       "     7,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     ...],\n",
-       "    'household_market_income': [60994.5625,\n",
-       "     0.0,\n",
-       "     18010.205078125,\n",
-       "     0.0,\n",
-       "     373717.65625,\n",
-       "     26749.30078125,\n",
-       "     69821.921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     52528.16015625,\n",
-       "     146368.4375,\n",
-       "     39185.9609375,\n",
-       "     67567.671875,\n",
-       "     10514.4208984375,\n",
-       "     27047.498046875,\n",
-       "     51374.58984375,\n",
-       "     26812.302734375,\n",
-       "     106063.8203125,\n",
-       "     94472.2109375,\n",
-       "     30842.599609375,\n",
-       "     99296.265625,\n",
-       "     23713.4375,\n",
-       "     101794.2578125,\n",
-       "     0.0,\n",
-       "     58362.53125,\n",
-       "     3544.39794921875,\n",
-       "     22040.716796875,\n",
-       "     117900.046875,\n",
-       "     46433.984375,\n",
-       "     29057.640625,\n",
-       "     2313.760498046875,\n",
-       "     8525.25390625,\n",
-       "     103453.3203125,\n",
-       "     136669.625,\n",
-       "     5078.99462890625,\n",
-       "     105974.7421875,\n",
-       "     29681.6875,\n",
-       "     2794.124267578125,\n",
-       "     2.351956367492676,\n",
-       "     36287.5859375,\n",
-       "     56010.59375,\n",
-       "     24493.87890625,\n",
-       "     36788.27734375,\n",
-       "     44295.5703125,\n",
-       "     52423.15234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     963.843505859375,\n",
-       "     72829.4296875,\n",
-       "     41371.1015625,\n",
-       "     0.0,\n",
-       "     54511.30078125,\n",
-       "     50426.7421875,\n",
-       "     11403.8486328125,\n",
-       "     75162.59375,\n",
-       "     9752.9755859375,\n",
-       "     35792.03515625,\n",
-       "     120037.6171875,\n",
-       "     32626.22265625,\n",
-       "     31517.85546875,\n",
-       "     75488.5859375,\n",
-       "     4687.91943359375,\n",
-       "     0.0,\n",
-       "     54931.125,\n",
-       "     570.3494262695312,\n",
-       "     22931.576171875,\n",
-       "     66097.3359375,\n",
-       "     65230.10546875,\n",
-       "     10505.953125,\n",
-       "     0.0,\n",
-       "     97300.9140625,\n",
-       "     14273.4345703125,\n",
-       "     9125.1708984375,\n",
-       "     0.0,\n",
-       "     224138.15625,\n",
-       "     154240.703125,\n",
-       "     0.0,\n",
-       "     20865.361328125,\n",
-       "     453857.15625,\n",
-       "     4600.4267578125,\n",
-       "     6467.8798828125,\n",
-       "     308531.8125,\n",
-       "     8219.962890625,\n",
-       "     16871.029296875,\n",
-       "     9610.6103515625,\n",
-       "     555938.25,\n",
-       "     130033.8203125,\n",
-       "     17524.42578125,\n",
-       "     1.175978183746338,\n",
-       "     0.0,\n",
-       "     85743.28125,\n",
-       "     55672.796875,\n",
-       "     37401.25390625,\n",
-       "     109751.8828125,\n",
-       "     38001.53125,\n",
-       "     34339.45703125,\n",
-       "     97675.34375,\n",
-       "     11555.5400390625,\n",
-       "     36049.75390625,\n",
-       "     0.0,\n",
-       "     33979.28515625,\n",
-       "     101109.75,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     50993.75390625,\n",
-       "     46046.09375,\n",
-       "     44347.078125,\n",
-       "     0.0,\n",
-       "     45025.515625,\n",
-       "     5869.43310546875,\n",
-       "     87662.078125,\n",
-       "     0.0,\n",
-       "     50608.671875,\n",
-       "     1984.2515869140625,\n",
-       "     4802.7216796875,\n",
-       "     0.0,\n",
-       "     31455.01953125,\n",
-       "     253553.9375,\n",
-       "     571865.1875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27327.73828125,\n",
-       "     218343.734375,\n",
-       "     54030.6171875,\n",
-       "     55581.90234375,\n",
-       "     109028.828125,\n",
-       "     69128.5546875,\n",
-       "     0.0,\n",
-       "     53610.37890625,\n",
-       "     45810.53515625,\n",
-       "     252410.265625,\n",
-       "     126613.40625,\n",
-       "     477236.21875,\n",
-       "     26165.421875,\n",
-       "     101337.4296875,\n",
-       "     24459.087890625,\n",
-       "     3034.0234375,\n",
-       "     587.9890747070312,\n",
-       "     9638.4580078125,\n",
-       "     66619.453125,\n",
-       "     4614.98486328125,\n",
-       "     19264.216796875,\n",
-       "     17127.716796875,\n",
-       "     3527.934326171875,\n",
-       "     23460.763671875,\n",
-       "     59636.203125,\n",
-       "     95814.671875,\n",
-       "     476.2711486816406,\n",
-       "     84878.234375,\n",
-       "     0.0,\n",
-       "     9425.3408203125,\n",
-       "     22254.314453125,\n",
-       "     26168.7109375,\n",
-       "     0.0,\n",
-       "     95750.78125,\n",
-       "     73121.4296875,\n",
-       "     118737.4140625,\n",
-       "     60758.8359375,\n",
-       "     59193.81640625,\n",
-       "     82704.2109375,\n",
-       "     0.0,\n",
-       "     20291.49609375,\n",
-       "     70062.0546875,\n",
-       "     82321.3359375,\n",
-       "     101886.125,\n",
-       "     73660.4375,\n",
-       "     0.0,\n",
-       "     129.35760498046875,\n",
-       "     0.0,\n",
-       "     29896.94140625,\n",
-       "     46046.09765625,\n",
-       "     0.0,\n",
-       "     14528.1103515625,\n",
-       "     295.4645080566406,\n",
-       "     0.0,\n",
-       "     12501.775390625,\n",
-       "     77576.796875,\n",
-       "     36022.17578125,\n",
-       "     47971.38671875,\n",
-       "     44245.06640625,\n",
-       "     3485.740234375,\n",
-       "     41464.78515625,\n",
-       "     0.0,\n",
-       "     160651.03125,\n",
-       "     64680.390625,\n",
-       "     12866.259765625,\n",
-       "     0.0,\n",
-       "     49606.8828125,\n",
-       "     117636.2734375,\n",
-       "     11823.7373046875,\n",
-       "     47131.9296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     57780.29296875,\n",
-       "     31121.046875,\n",
-       "     35920.48828125,\n",
-       "     12869.9052734375,\n",
-       "     16989.625,\n",
-       "     33162.5859375,\n",
-       "     25892.302734375,\n",
-       "     44905.4453125,\n",
-       "     1.4699727296829224,\n",
-       "     0.0,\n",
-       "     69195.53125,\n",
-       "     21254.62890625,\n",
-       "     52285.1640625,\n",
-       "     39170.58984375,\n",
-       "     39142.1796875,\n",
-       "     85875.765625,\n",
-       "     8830.6298828125,\n",
-       "     51844.640625,\n",
-       "     118567.1875,\n",
-       "     26357.580078125,\n",
-       "     9605.4423828125,\n",
-       "     11769.330078125,\n",
-       "     1252.416748046875,\n",
-       "     11304.08984375,\n",
-       "     187246.09375,\n",
-       "     57632.65625,\n",
-       "     23031.533203125,\n",
-       "     82971.7109375,\n",
-       "     0.0,\n",
-       "     36030.23046875,\n",
-       "     59063.1484375,\n",
-       "     7327.52001953125,\n",
-       "     3962.245361328125,\n",
-       "     23944.212890625,\n",
-       "     107468.8359375,\n",
-       "     104952.9375,\n",
-       "     39492.1484375,\n",
-       "     21654.88671875,\n",
-       "     0.0,\n",
-       "     45807.66015625,\n",
-       "     43652.3046875,\n",
-       "     0.0,\n",
-       "     29917.26171875,\n",
-       "     7178.89990234375,\n",
-       "     47112.625,\n",
-       "     43661.61328125,\n",
-       "     74368.859375,\n",
-       "     34519.5625,\n",
-       "     49047.79296875,\n",
-       "     9412.529296875,\n",
-       "     14896.076171875,\n",
-       "     79558.5390625,\n",
-       "     9555.73046875,\n",
-       "     13807.82421875,\n",
-       "     13687.755859375,\n",
-       "     43038.765625,\n",
-       "     30546.033203125,\n",
-       "     29833.322265625,\n",
-       "     87424.234375,\n",
-       "     7775.99755859375,\n",
-       "     50312.9765625,\n",
-       "     23000.224609375,\n",
-       "     20051.365234375,\n",
-       "     14408.1640625,\n",
-       "     28311.673828125,\n",
-       "     21404.37890625,\n",
-       "     44633.73046875,\n",
-       "     19255.939453125,\n",
-       "     15003.796875,\n",
-       "     49557.46484375,\n",
-       "     21380.833984375,\n",
-       "     352.7934265136719,\n",
-       "     130404.21875,\n",
-       "     29959.326171875,\n",
-       "     284020.9375,\n",
-       "     31998.1328125,\n",
-       "     176079.765625,\n",
-       "     52914.703125,\n",
-       "     0.0,\n",
-       "     6622.10888671875,\n",
-       "     41470.85546875,\n",
-       "     17950.171875,\n",
-       "     4233.521484375,\n",
-       "     82186.5703125,\n",
-       "     8802.1962890625,\n",
-       "     69459.359375,\n",
-       "     0.0,\n",
-       "     62675.515625,\n",
-       "     84865.71875,\n",
-       "     54690.9921875,\n",
-       "     126683.9140625,\n",
-       "     20448.19921875,\n",
-       "     25934.693359375,\n",
-       "     30077.04296875,\n",
-       "     2419.69287109375,\n",
-       "     25574.4921875,\n",
-       "     59553.77734375,\n",
-       "     145393.25,\n",
-       "     12712.216796875,\n",
-       "     7100.74462890625,\n",
-       "     141503.09375,\n",
-       "     55718.109375,\n",
-       "     28213.67578125,\n",
-       "     55651.53515625,\n",
-       "     0.0,\n",
-       "     8992.19921875,\n",
-       "     50608.6796875,\n",
-       "     67898.46875,\n",
-       "     29060.62109375,\n",
-       "     98090.1796875,\n",
-       "     5523.1298828125,\n",
-       "     79967.671875,\n",
-       "     16209.185546875,\n",
-       "     46526.36328125,\n",
-       "     21432.14453125,\n",
-       "     149433.8125,\n",
-       "     80925.8515625,\n",
-       "     82211.4296875,\n",
-       "     12401.1142578125,\n",
-       "     6519.623046875,\n",
-       "     45940.375,\n",
-       "     59630.1875,\n",
-       "     82844.484375,\n",
-       "     260.220458984375,\n",
-       "     66813.296875,\n",
-       "     34485.55859375,\n",
-       "     119627.3515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     6074.3974609375,\n",
-       "     64946.92578125,\n",
-       "     919.7828979492188,\n",
-       "     72825.609375,\n",
-       "     160773.859375,\n",
-       "     160902.203125,\n",
-       "     119425.8125,\n",
-       "     63987.109375,\n",
-       "     17746.685546875,\n",
-       "     29956.974609375,\n",
-       "     15085.447265625,\n",
-       "     69099.15625,\n",
-       "     134289.203125,\n",
-       "     151239.796875,\n",
-       "     11949.6474609375,\n",
-       "     11742.142578125,\n",
-       "     46587.86328125,\n",
-       "     114064.640625,\n",
-       "     47426.875,\n",
-       "     13275.3818359375,\n",
-       "     9666.541015625,\n",
-       "     13758.9443359375,\n",
-       "     40943.19921875,\n",
-       "     86330.390625,\n",
-       "     11732.986328125,\n",
-       "     6088.97998046875,\n",
-       "     51389.12109375,\n",
-       "     0.0,\n",
-       "     4291.802734375,\n",
-       "     19286.04296875,\n",
-       "     22272.62109375,\n",
-       "     40402.89453125,\n",
-       "     63938.2265625,\n",
-       "     80745.75,\n",
-       "     0.0,\n",
-       "     1675.397216796875,\n",
-       "     25453.884765625,\n",
-       "     0.0,\n",
-       "     44245.0703125,\n",
-       "     54090.6484375,\n",
-       "     12420.0927734375,\n",
-       "     0.0,\n",
-       "     25606.267578125,\n",
-       "     11465.7880859375,\n",
-       "     50353.25,\n",
-       "     22559.107421875,\n",
-       "     49336.98828125,\n",
-       "     0.0,\n",
-       "     55711.5703125,\n",
-       "     23672.44140625,\n",
-       "     18070.23828125,\n",
-       "     87611.6796875,\n",
-       "     1228.0152587890625,\n",
-       "     113666.375,\n",
-       "     18304.099609375,\n",
-       "     1513.20166015625,\n",
-       "     5879.890625,\n",
-       "     0.0,\n",
-       "     18115.943359375,\n",
-       "     33619.05078125,\n",
-       "     6749.00927734375,\n",
-       "     0.0,\n",
-       "     38691.75390625,\n",
-       "     0.0,\n",
-       "     10867.568359375,\n",
-       "     2549.520751953125,\n",
-       "     122945.21875,\n",
-       "     277619.96875,\n",
-       "     0.0,\n",
-       "     47543.1484375,\n",
-       "     59433.91015625,\n",
-       "     24331.318359375,\n",
-       "     99664.078125,\n",
-       "     103771.9765625,\n",
-       "     2981.104736328125,\n",
-       "     96061.28125,\n",
-       "     47667.01171875,\n",
-       "     164195.96875,\n",
-       "     0.0,\n",
-       "     35244.37890625,\n",
-       "     198399.859375,\n",
-       "     57332.48828125,\n",
-       "     40401.76171875,\n",
-       "     8256.2646484375,\n",
-       "     13567.6884765625,\n",
-       "     261062.84375,\n",
-       "     151547.078125,\n",
-       "     0.0,\n",
-       "     8712.2822265625,\n",
-       "     86416.2109375,\n",
-       "     18242.28125,\n",
-       "     48027.21484375,\n",
-       "     14111.884765625,\n",
-       "     26268.91015625,\n",
-       "     0.0,\n",
-       "     4802.7216796875,\n",
-       "     183610.96875,\n",
-       "     11406.4638671875,\n",
-       "     37213.828125,\n",
-       "     6761.8740234375,\n",
-       "     13120.9755859375,\n",
-       "     89477.6171875,\n",
-       "     4139.02294921875,\n",
-       "     211.6760711669922,\n",
-       "     47086.30078125,\n",
-       "     76914.8515625,\n",
-       "     83927.5625,\n",
-       "     226208.1875,\n",
-       "     6620.7568359375,\n",
-       "     56576.78125,\n",
-       "     115454.7734375,\n",
-       "     101937.765625,\n",
-       "     24569.337890625,\n",
-       "     0.0,\n",
-       "     24709.5,\n",
-       "     13387.5849609375,\n",
-       "     30502.521484375,\n",
-       "     9005.1025390625,\n",
-       "     69039.125,\n",
-       "     125768.21875,\n",
-       "     55151.46484375,\n",
-       "     68600.46875,\n",
-       "     30870.015625,\n",
-       "     84768.0390625,\n",
-       "     44309.65234375,\n",
-       "     20872.7109375,\n",
-       "     17353.359375,\n",
-       "     194500.5625,\n",
-       "     74538.359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     22512.7578125,\n",
-       "     35279.34375,\n",
-       "     16884.9765625,\n",
-       "     0.0,\n",
-       "     21011.908203125,\n",
-       "     104639.2890625,\n",
-       "     55233.6484375,\n",
-       "     46595.91015625,\n",
-       "     70399.90625,\n",
-       "     0.0,\n",
-       "     54330.7890625,\n",
-       "     25153.32421875,\n",
-       "     11586.5654296875,\n",
-       "     45676.19921875,\n",
-       "     38541.84375,\n",
-       "     21761.5234375,\n",
-       "     49468.03125,\n",
-       "     106462.9375,\n",
-       "     73866.296875,\n",
-       "     4562.58544921875,\n",
-       "     29458.296875,\n",
-       "     275635.0625,\n",
-       "     33536.78515625,\n",
-       "     0.587989091873169,\n",
-       "     33574.3515625,\n",
-       "     80985.890625,\n",
-       "     46046.09375,\n",
-       "     0.0,\n",
-       "     43584.69921875,\n",
-       "     18896.833984375,\n",
-       "     0.0,\n",
-       "     10426.45703125,\n",
-       "     82469.9609375,\n",
-       "     61013.00390625,\n",
-       "     23017.625,\n",
-       "     30797.451171875,\n",
-       "     24016.546875,\n",
-       "     45025.515625,\n",
-       "     0.0,\n",
-       "     21530.9140625,\n",
-       "     15301.265625,\n",
-       "     5100.87548828125,\n",
-       "     0.0,\n",
-       "     104229.578125,\n",
-       "     22076.048828125,\n",
-       "     0.0,\n",
-       "     34421.3515625,\n",
-       "     15745.6123046875,\n",
-       "     21432.14453125,\n",
-       "     64730.1640625,\n",
-       "     102832.5078125,\n",
-       "     9324.1904296875,\n",
-       "     68787.6953125,\n",
-       "     24914.861328125,\n",
-       "     37501.73046875,\n",
-       "     4167.05517578125,\n",
-       "     18151.734375,\n",
-       "     138226.5625,\n",
-       "     216556.59375,\n",
-       "     18614.51171875,\n",
-       "     194050.703125,\n",
-       "     8813.044921875,\n",
-       "     7721.87109375,\n",
-       "     21131.974609375,\n",
-       "     79169.7578125,\n",
-       "     3.5279343128204346,\n",
-       "     199.45205688476562,\n",
-       "     7532.14013671875,\n",
-       "     96.2391128540039,\n",
-       "     44.099178314208984,\n",
-       "     15553.7802734375,\n",
-       "     0.0,\n",
-       "     135831.609375,\n",
-       "     28759.236328125,\n",
-       "     31765.34765625,\n",
-       "     0.0,\n",
-       "     66152.2109375,\n",
-       "     18455.517578125,\n",
-       "     35611.265625,\n",
-       "     121700.1484375,\n",
-       "     26953.20703125,\n",
-       "     11612.02734375,\n",
-       "     16773.37890625,\n",
-       "     1.175978183746338,\n",
-       "     113108.296875,\n",
-       "     60520.40625,\n",
-       "     77016.5234375,\n",
-       "     22932.99609375,\n",
-       "     34519.5625,\n",
-       "     0.0,\n",
-       "     85534.125,\n",
-       "     31474.224609375,\n",
-       "     110279.203125,\n",
-       "     3045.666015625,\n",
-       "     0.0,\n",
-       "     62675.515625,\n",
-       "     59198.7421875,\n",
-       "     0.0,\n",
-       "     24702.31640625,\n",
-       "     0.0,\n",
-       "     52255.16796875,\n",
-       "     34171.90234375,\n",
-       "     0.0,\n",
-       "     75350.0546875,\n",
-       "     194419.171875,\n",
-       "     91966.0234375,\n",
-       "     74870.9453125,\n",
-       "     72677.9140625,\n",
-       "     0.0,\n",
-       "     29956.9765625,\n",
-       "     76977.7265625,\n",
-       "     0.0,\n",
-       "     14792.634765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     40342.859375,\n",
-       "     68847.640625,\n",
-       "     20471.599609375,\n",
-       "     0.0,\n",
-       "     76371.2109375,\n",
-       "     0.0,\n",
-       "     22286.556640625,\n",
-       "     81114.0859375,\n",
-       "     0.0,\n",
-       "     34156.35546875,\n",
-       "     128472.796875,\n",
-       "     46161.796875,\n",
-       "     20939.341796875,\n",
-       "     17831.57421875,\n",
-       "     24190.48046875,\n",
-       "     0.0,\n",
-       "     38499.4453125,\n",
-       "     45926.0234375,\n",
-       "     275500.59375,\n",
-       "     16746.31640625,\n",
-       "     79721.4609375,\n",
-       "     38001.53515625,\n",
-       "     139552.484375,\n",
-       "     45364.49609375,\n",
-       "     111315.9140625,\n",
-       "     84768.03125,\n",
-       "     20231.46484375,\n",
-       "     1717.883544921875,\n",
-       "     10470.392578125,\n",
-       "     36287.5859375,\n",
-       "     92061.8671875,\n",
-       "     0.0,\n",
-       "     282.2347717285156,\n",
-       "     3118.270751953125,\n",
-       "     30320.123046875,\n",
-       "     78028.71875,\n",
-       "     16757.689453125,\n",
-       "     6359.2548828125,\n",
-       "     10717.865234375,\n",
-       "     16799.8046875,\n",
-       "     6661.611328125,\n",
-       "     31577.89453125,\n",
-       "     63395.921875,\n",
-       "     35766.83203125,\n",
-       "     76936.0625,\n",
-       "     49528.06640625,\n",
-       "     3887.50146484375,\n",
-       "     17230.431640625,\n",
-       "     0.0,\n",
-       "     6061.1611328125,\n",
-       "     211180.46875,\n",
-       "     339856.4375,\n",
-       "     4654.38671875,\n",
-       "     15659.99609375,\n",
-       "     18362.900390625,\n",
-       "     58976.92578125,\n",
-       "     78284.359375,\n",
-       "     81131.859375,\n",
-       "     11847.98046875,\n",
-       "     127929.25,\n",
-       "     134957.015625,\n",
-       "     58298.91015625,\n",
-       "     389736.71875,\n",
-       "     16369.6162109375,\n",
-       "     111303.0625,\n",
-       "     11.759781837463379,\n",
-       "     0.0,\n",
-       "     25831.376953125,\n",
-       "     0.0,\n",
-       "     93817.046875,\n",
-       "     63155.7890625,\n",
-       "     3361.905029296875,\n",
-       "     28756.294921875,\n",
-       "     524.3922119140625,\n",
-       "     172633.078125,\n",
-       "     29082.16015625,\n",
-       "     20873.68359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     10223.53125,\n",
-       "     52358.484375,\n",
-       "     23653.40234375,\n",
-       "     48987.75390625,\n",
-       "     75282.65625,\n",
-       "     20471.599609375,\n",
-       "     1208.0302734375,\n",
-       "     49227.8984375,\n",
-       "     81766.3359375,\n",
-       "     0.0,\n",
-       "     27615.6484375,\n",
-       "     0.0,\n",
-       "     5293.07763671875,\n",
-       "     96112.90625,\n",
-       "     26360.814453125,\n",
-       "     702.6351928710938,\n",
-       "     51273.29296875,\n",
-       "     65672.9296875,\n",
-       "     184742.96875,\n",
-       "     151644.5625,\n",
-       "     0.0,\n",
-       "     8692.8310546875,\n",
-       "     20865.361328125,\n",
-       "     32238.267578125,\n",
-       "     22103.591796875,\n",
-       "     164257.6875,\n",
-       "     55234.2421875,\n",
-       "     27255.443359375,\n",
-       "     41303.40625,\n",
-       "     42992.33984375,\n",
-       "     30461.501953125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     15902.7529296875,\n",
-       "     0.0,\n",
-       "     4367.41845703125,\n",
-       "     29552.908203125,\n",
-       "     0.0,\n",
-       "     85188.5,\n",
-       "     88555.1171875,\n",
-       "     23053.064453125,\n",
-       "     7324.150390625,\n",
-       "     5785.8125,\n",
-       "     175363.5,\n",
-       "     7112.31591796875,\n",
-       "     36.74931716918945,\n",
-       "     94591.9453125,\n",
-       "     21590.171875,\n",
-       "     158468.515625,\n",
-       "     52889.96875,\n",
-       "     105823.0,\n",
-       "     121568.875,\n",
-       "     8568.2939453125,\n",
-       "     99286.890625,\n",
-       "     10639.4033203125,\n",
-       "     1550.233154296875,\n",
-       "     31404.59765625,\n",
-       "     7924.49072265625,\n",
-       "     3799.679443359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     26773.412109375,\n",
-       "     63708.0078125,\n",
-       "     40452.015625,\n",
-       "     55398.31640625,\n",
-       "     11430.58984375,\n",
-       "     3.5279343128204346,\n",
-       "     15106.6162109375,\n",
-       "     45207.96484375,\n",
-       "     42071.8515625,\n",
-       "     72040.8203125,\n",
-       "     198352.390625,\n",
-       "     0.0,\n",
-       "     85596.34375,\n",
-       "     0.0,\n",
-       "     7905.9130859375,\n",
-       "     12171.375,\n",
-       "     74626.140625,\n",
-       "     10400.0,\n",
-       "     96082.7890625,\n",
-       "     2822.347412109375,\n",
-       "     229699.921875,\n",
-       "     28756.296875,\n",
-       "     0.0,\n",
-       "     89180.40625,\n",
-       "     0.0,\n",
-       "     46.33353805541992,\n",
-       "     0.0,\n",
-       "     1411.1737060546875,\n",
-       "     16405.482421875,\n",
-       "     8363.9208984375,\n",
-       "     59853.91015625,\n",
-       "     3704.3310546875,\n",
-       "     0.0,\n",
-       "     40540.01953125,\n",
-       "     81018.671875,\n",
-       "     0.0,\n",
-       "     889.0394897460938,\n",
-       "     5163.908203125,\n",
-       "     35960.37890625,\n",
-       "     37652.109375,\n",
-       "     9005.1025390625,\n",
-       "     0.0,\n",
-       "     27373.904296875,\n",
-       "     54747.375,\n",
-       "     24193.708984375,\n",
-       "     40347.26953125,\n",
-       "     5510.6337890625,\n",
-       "     49374.3828125,\n",
-       "     68258.6796875,\n",
-       "     0.0,\n",
-       "     25336.70703125,\n",
-       "     0.0,\n",
-       "     38608.92578125,\n",
-       "     0.0,\n",
-       "     22377.34375,\n",
-       "     0.17639672756195068,\n",
-       "     29056.4609375,\n",
-       "     0.0,\n",
-       "     33559.015625,\n",
-       "     54274.86328125,\n",
-       "     13495.818359375,\n",
-       "     59868.609375,\n",
-       "     4.703912734985352,\n",
-       "     69999.671875,\n",
-       "     13299.68359375,\n",
-       "     121747.3203125,\n",
-       "     60792.81640625,\n",
-       "     167597.21875,\n",
-       "     74192.4609375,\n",
-       "     79429.9765625,\n",
-       "     32080.68359375,\n",
-       "     6688.9638671875,\n",
-       "     79343.2421875,\n",
-       "     10592.1298828125,\n",
-       "     71920.7578125,\n",
-       "     3634.638427734375,\n",
-       "     42609.328125,\n",
-       "     36156.0,\n",
-       "     129600.9609375,\n",
-       "     94613.609375,\n",
-       "     46047.5625,\n",
-       "     87108.4765625,\n",
-       "     92759.375,\n",
-       "     11759.78125,\n",
-       "     60.26887893676758,\n",
-       "     91431.796875,\n",
-       "     111691.0,\n",
-       "     31176.591796875,\n",
-       "     54481.3046875,\n",
-       "     95754.265625,\n",
-       "     35360.0390625,\n",
-       "     0.0,\n",
-       "     12601.7822265625,\n",
-       "     0.0,\n",
-       "     132118.9375,\n",
-       "     16118.2509765625,\n",
-       "     114389.46875,\n",
-       "     28980.923828125,\n",
-       "     4071.1943359375,\n",
-       "     44004.9375,\n",
-       "     46082.83984375,\n",
-       "     40282.828125,\n",
-       "     17049.689453125,\n",
-       "     39311.5078125,\n",
-       "     1411.173828125,\n",
-       "     149867.15625,\n",
-       "     52829.96875,\n",
-       "     80565.6484375,\n",
-       "     89840.9375,\n",
-       "     20711.736328125,\n",
-       "     54622.109375,\n",
-       "     73607.5859375,\n",
-       "     24191.724609375,\n",
-       "     32199.283203125,\n",
-       "     44545.32421875,\n",
-       "     6519.4482421875,\n",
-       "     11.759781837463379,\n",
-       "     48219.29296875,\n",
-       "     28861.185546875,\n",
-       "     11289.3896484375,\n",
-       "     28659.947265625,\n",
-       "     26234.8671875,\n",
-       "     0.0,\n",
-       "     15620.751953125,\n",
-       "     8904.505859375,\n",
-       "     72640.65625,\n",
-       "     14452.732421875,\n",
-       "     9965.646484375,\n",
-       "     69506.7265625,\n",
-       "     2106.600341796875,\n",
-       "     7361.67041015625,\n",
-       "     56727.46484375,\n",
-       "     852.5841674804688,\n",
-       "     23173.130859375,\n",
-       "     127906.2265625,\n",
-       "     4910.884765625,\n",
-       "     73601.859375,\n",
-       "     30867.955078125,\n",
-       "     6534.72265625,\n",
-       "     44785.37890625,\n",
-       "     40282.828125,\n",
-       "     33708.484375,\n",
-       "     85202.9765625,\n",
-       "     0.0,\n",
-       "     21809.46875,\n",
-       "     79411.453125,\n",
-       "     58822.64453125,\n",
-       "     97591.984375,\n",
-       "     45914.3984375,\n",
-       "     24587.02734375,\n",
-       "     75561.3515625,\n",
-       "     23088.341796875,\n",
-       "     163292.53125,\n",
-       "     26411.544921875,\n",
-       "     11430.58984375,\n",
-       "     28936.396484375,\n",
-       "     26360.724609375,\n",
-       "     16689.892578125,\n",
-       "     87514.5703125,\n",
-       "     103198.484375,\n",
-       "     118022.1796875,\n",
-       "     66527.2421875,\n",
-       "     220431.921875,\n",
-       "     17727.787109375,\n",
-       "     36020.41015625,\n",
-       "     67658.34375,\n",
-       "     137087.0625,\n",
-       "     91912.640625,\n",
-       "     22897.001953125,\n",
-       "     4120.62744140625,\n",
-       "     0.0,\n",
-       "     37413.74609375,\n",
-       "     19732.537109375,\n",
-       "     9126.69921875,\n",
-       "     9947.646484375,\n",
-       "     9082.6904296875,\n",
-       "     70465.1171875,\n",
-       "     0.0,\n",
-       "     45659.6640625,\n",
-       "     0.0,\n",
-       "     103345.21875,\n",
-       "     44941.2265625,\n",
-       "     58052.89453125,\n",
-       "     29476.703125,\n",
-       "     6836.2548828125,\n",
-       "     27615.6484375,\n",
-       "     2963.486083984375,\n",
-       "     0.0,\n",
-       "     36469.0234375,\n",
-       "     15.287715911865234,\n",
-       "     81343.6328125,\n",
-       "     1058.38037109375,\n",
-       "     61534.87109375,\n",
-       "     0.0,\n",
-       "     41300.9375,\n",
-       "     79660.3125,\n",
-       "     10668.3310546875,\n",
-       "     1448.8050537109375,\n",
-       "     0.0,\n",
-       "     61955.109375,\n",
-       "     100918.796875,\n",
-       "     61909.7734375,\n",
-       "     0.0,\n",
-       "     20934.009765625,\n",
-       "     10.5838041305542,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1975.643310546875,\n",
-       "     102.8980941772461,\n",
-       "     219007.734375,\n",
-       "     0.0,\n",
-       "     11968.517578125,\n",
-       "     36161.328125,\n",
-       "     33311.63671875,\n",
-       "     11722.150390625,\n",
-       "     29.39945411682129,\n",
-       "     105538.1640625,\n",
-       "     0.0,\n",
-       "     34882.16015625,\n",
-       "     470.3912658691406,\n",
-       "     5221.3427734375,\n",
-       "     52229.58984375,\n",
-       "     17255.892578125,\n",
-       "     123361.53125,\n",
-       "     0.0,\n",
-       "     34065.1484375,\n",
-       "     26751.15234375,\n",
-       "     0.0,\n",
-       "     7.055868625640869,\n",
-       "     50404.0,\n",
-       "     1315.33154296875,\n",
-       "     0.0,\n",
-       "     36686.3984375,\n",
-       "     53283.984375,\n",
-       "     9096.005859375,\n",
-       "     25768.033203125,\n",
-       "     36746.44921875,\n",
-       "     24507.34375,\n",
-       "     78644.5625,\n",
-       "     76884.90625,\n",
-       "     175729.328125,\n",
-       "     132550.046875,\n",
-       "     24142.83203125,\n",
-       "     270213.15625,\n",
-       "     29634.650390625,\n",
-       "     69159.1875,\n",
-       "     70420.84375,\n",
-       "     4953.22021484375,\n",
-       "     52482.234375,\n",
-       "     17.639673233032227,\n",
-       "     50008.3359375,\n",
-       "     214713.53125,\n",
-       "     5688.20654296875,\n",
-       "     118137.0703125,\n",
-       "     24193.70703125,\n",
-       "     9805.2587890625,\n",
-       "     70479.9375,\n",
-       "     973.7098999023438,\n",
-       "     258618.921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     13421.9677734375,\n",
-       "     28388.154296875,\n",
-       "     13858.9033203125,\n",
-       "     98515.828125,\n",
-       "     4115.92333984375,\n",
-       "     57036.7265625,\n",
-       "     59433.671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     38844.171875,\n",
-       "     0.0,\n",
-       "     5392.80078125,\n",
-       "     10445.91796875,\n",
-       "     76379.1328125,\n",
-       "     74255.6328125,\n",
-       "     4198.2421875,\n",
-       "     129793.546875,\n",
-       "     71836.140625,\n",
-       "     55531.46875,\n",
-       "     211076.53125,\n",
-       "     24133.67578125,\n",
-       "     58300.13671875,\n",
-       "     89458.578125,\n",
-       "     110255.265625,\n",
-       "     64992.375,\n",
-       "     27437.017578125,\n",
-       "     18165.552734375,\n",
-       "     24202.3203125,\n",
-       "     51809.359375,\n",
-       "     ...],\n",
-       "    'wealth': [507750.28125,\n",
-       "     1067.5635986328125,\n",
-       "     747250.75,\n",
-       "     1397688.625,\n",
-       "     606589.6875,\n",
-       "     247674.78125,\n",
-       "     58716.0,\n",
-       "     275997.375,\n",
-       "     0.0,\n",
-       "     324425.78125,\n",
-       "     2097985.75,\n",
-       "     334147.40625,\n",
-       "     230.59375,\n",
-       "     60364.26171875,\n",
-       "     1733829.25,\n",
-       "     1433314.625,\n",
-       "     1207726.0,\n",
-       "     3006496.0,\n",
-       "     564050.1875,\n",
-       "     905116.5,\n",
-       "     572141.625,\n",
-       "     112307.6953125,\n",
-       "     292512.4375,\n",
-       "     0.0,\n",
-       "     22418.8359375,\n",
-       "     298917.8125,\n",
-       "     0.0,\n",
-       "     6658247.5,\n",
-       "     2887480.0,\n",
-       "     825638.0625,\n",
-       "     25625604.0,\n",
-       "     444819.71875,\n",
-       "     1781341.625,\n",
-       "     2387968.0,\n",
-       "     21218.111328125,\n",
-       "     1297775.5,\n",
-       "     330944.71875,\n",
-       "     70.31910705566406,\n",
-       "     0.0,\n",
-       "     117432.0,\n",
-       "     5363003.0,\n",
-       "     213.51272583007812,\n",
-       "     411652.53125,\n",
-       "     785838.625,\n",
-       "     1371507.75,\n",
-       "     0.0,\n",
-       "     6405.3818359375,\n",
-       "     85405.09375,\n",
-       "     1390957.25,\n",
-       "     1788789.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     638290.625,\n",
-       "     553132.125,\n",
-       "     7579.7021484375,\n",
-       "     322373.625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1083783.875,\n",
-       "     3202.69091796875,\n",
-       "     2539473.75,\n",
-       "     107389.546875,\n",
-       "     152375.5,\n",
-       "     2249420.5,\n",
-       "     0.0,\n",
-       "     2242828.25,\n",
-       "     96454.375,\n",
-       "     168087.890625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     753114.9375,\n",
-       "     1419960.75,\n",
-       "     0.0,\n",
-       "     354757.46875,\n",
-       "     5291913.0,\n",
-       "     31816.814453125,\n",
-       "     0.0,\n",
-       "     983985.3125,\n",
-       "     382591.3125,\n",
-       "     10675.63671875,\n",
-       "     237830.078125,\n",
-       "     1741196.375,\n",
-       "     1423958.0,\n",
-       "     13851.638671875,\n",
-       "     411624.375,\n",
-       "     992834.25,\n",
-       "     128107.640625,\n",
-       "     762538.125,\n",
-       "     49641.7109375,\n",
-       "     0.0,\n",
-       "     498539.90625,\n",
-       "     422755.1875,\n",
-       "     96454.375,\n",
-       "     345356.84375,\n",
-       "     286950.4375,\n",
-       "     0.0,\n",
-       "     1366481.5,\n",
-       "     111953.125,\n",
-       "     8540.5087890625,\n",
-       "     0.0,\n",
-       "     258350.40625,\n",
-       "     871828.625,\n",
-       "     0.0,\n",
-       "     338951.4375,\n",
-       "     228458.609375,\n",
-       "     162381.765625,\n",
-       "     2019988.5,\n",
-       "     266890.90625,\n",
-       "     0.0,\n",
-       "     279820.0625,\n",
-       "     945605.625,\n",
-       "     229526.1875,\n",
-       "     725409.5,\n",
-       "     45388.53515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     180867.484375,\n",
-       "     2057195.125,\n",
-       "     1395626.0,\n",
-       "     92878.0390625,\n",
-       "     7472.94580078125,\n",
-       "     97361.8046875,\n",
-       "     755348.25,\n",
-       "     80761.1875,\n",
-       "     2932274.25,\n",
-       "     645876.0,\n",
-       "     352584.25,\n",
-       "     17115.9921875,\n",
-       "     16753.146484375,\n",
-       "     1481337.0,\n",
-       "     6950412.0,\n",
-       "     6021059.0,\n",
-       "     1983533.25,\n",
-       "     2135.127197265625,\n",
-       "     64053.8203125,\n",
-       "     769498.9375,\n",
-       "     106756.3671875,\n",
-       "     557396.25,\n",
-       "     419209.8125,\n",
-       "     0.0,\n",
-       "     67084.984375,\n",
-       "     125476.3359375,\n",
-       "     97066.4375,\n",
-       "     50994.31640625,\n",
-       "     1270369.375,\n",
-       "     1088321.125,\n",
-       "     1403919.75,\n",
-       "     40033.63671875,\n",
-       "     926879.75,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     346958.1875,\n",
-       "     1106711.5,\n",
-       "     92878.0390625,\n",
-       "     543689.5,\n",
-       "     37229.1171875,\n",
-       "     918515.75,\n",
-       "     1251718.375,\n",
-       "     253124.671875,\n",
-       "     302358.5625,\n",
-       "     0.0,\n",
-       "     1067.5635986328125,\n",
-       "     483708.21875,\n",
-       "     559252.125,\n",
-       "     178895.90625,\n",
-       "     383680.25,\n",
-       "     0.0,\n",
-       "     106756.3671875,\n",
-       "     0.0,\n",
-       "     271921.34375,\n",
-       "     1138396.75,\n",
-       "     9873.1220703125,\n",
-       "     106756.3671875,\n",
-       "     433666.875,\n",
-       "     0.0,\n",
-       "     87633.1171875,\n",
-       "     4110.1201171875,\n",
-       "     0.0,\n",
-       "     117773.6171875,\n",
-       "     365106.75,\n",
-       "     978395.375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     619186.9375,\n",
-       "     572346.5,\n",
-       "     0.0,\n",
-       "     243404.515625,\n",
-       "     3218704.25,\n",
-       "     334147.4375,\n",
-       "     1803390.125,\n",
-       "     403054.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     416349.8125,\n",
-       "     0.0,\n",
-       "     5959862.5,\n",
-       "     404143.0625,\n",
-       "     0.0,\n",
-       "     689945.75,\n",
-       "     112799.6015625,\n",
-       "     162269.671875,\n",
-       "     192161.453125,\n",
-       "     0.0,\n",
-       "     32743.0859375,\n",
-       "     668700.5,\n",
-       "     1691490.375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     2320883.5,\n",
-       "     286537.8125,\n",
-       "     420620.0625,\n",
-       "     405674.1875,\n",
-       "     467592.875,\n",
-       "     969646.0,\n",
-       "     605193.25,\n",
-       "     388289.09375,\n",
-       "     837757.125,\n",
-       "     722184.375,\n",
-       "     161666.5,\n",
-       "     1531876.375,\n",
-       "     115296.875,\n",
-       "     234864.0,\n",
-       "     4341282.0,\n",
-       "     6050610.0,\n",
-       "     216974.28125,\n",
-       "     0.0,\n",
-       "     96080.7265625,\n",
-       "     11203013.0,\n",
-       "     255399.65625,\n",
-       "     241596.03125,\n",
-       "     982369.5625,\n",
-       "     12168.7138671875,\n",
-       "     197499.28125,\n",
-       "     672193.25,\n",
-       "     0.0,\n",
-       "     1034562.875,\n",
-       "     361839.71875,\n",
-       "     1364177.625,\n",
-       "     1284279.125,\n",
-       "     5550926.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     65313.2578125,\n",
-       "     907429.125,\n",
-       "     597944.6875,\n",
-       "     106756.3671875,\n",
-       "     1085510.625,\n",
-       "     393783.9375,\n",
-       "     125476.3359375,\n",
-       "     1153726.375,\n",
-       "     200889.859375,\n",
-       "     213561.9375,\n",
-       "     81683.5078125,\n",
-       "     361300.15625,\n",
-       "     215412.203125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     655246.25,\n",
-       "     249901.03125,\n",
-       "     0.0,\n",
-       "     80067.2734375,\n",
-       "     960807.25,\n",
-       "     483708.21875,\n",
-       "     864687.875,\n",
-       "     154796.734375,\n",
-       "     3548105.25,\n",
-       "     0.0,\n",
-       "     380891.75,\n",
-       "     0.0,\n",
-       "     2393477.75,\n",
-       "     687511.0,\n",
-       "     0.0,\n",
-       "     224623.4375,\n",
-       "     702848.75,\n",
-       "     731000.8125,\n",
-       "     47506.0859375,\n",
-       "     0.0,\n",
-       "     573081.4375,\n",
-       "     365687.46875,\n",
-       "     360302.75,\n",
-       "     101418.546875,\n",
-       "     2361350.0,\n",
-       "     1878.9119873046875,\n",
-       "     341252.0625,\n",
-       "     2650760.5,\n",
-       "     187500.5625,\n",
-       "     699934.25,\n",
-       "     223757.5625,\n",
-       "     0.0,\n",
-       "     33073.12109375,\n",
-       "     828322.625,\n",
-       "     138783.28125,\n",
-       "     0.0,\n",
-       "     782524.125,\n",
-       "     1442407.875,\n",
-       "     120407.3359375,\n",
-       "     10675.63671875,\n",
-       "     44783.2265625,\n",
-       "     114171.140625,\n",
-       "     112799.6015625,\n",
-       "     461350.9375,\n",
-       "     140651.5,\n",
-       "     778260.3125,\n",
-       "     0.0,\n",
-       "     512067.65625,\n",
-       "     628933.1875,\n",
-       "     354720.28125,\n",
-       "     823005.8125,\n",
-       "     11096257.0,\n",
-       "     2171884.0,\n",
-       "     117965.78125,\n",
-       "     777746.8125,\n",
-       "     743576.6875,\n",
-       "     238600.484375,\n",
-       "     639470.625,\n",
-       "     619186.9375,\n",
-       "     0.0,\n",
-       "     1360039.625,\n",
-       "     1605535.5,\n",
-       "     1328583.0,\n",
-       "     69690.734375,\n",
-       "     0.0,\n",
-       "     234158.71875,\n",
-       "     360302.71875,\n",
-       "     176447.09375,\n",
-       "     672560.375,\n",
-       "     811233.25,\n",
-       "     912455.625,\n",
-       "     0.0,\n",
-       "     1608489.875,\n",
-       "     1895736.0,\n",
-       "     0.0,\n",
-       "     870300.625,\n",
-       "     57602.81640625,\n",
-       "     0.0,\n",
-       "     146790.0,\n",
-       "     0.0,\n",
-       "     540319.75,\n",
-       "     0.0,\n",
-       "     267851.71875,\n",
-       "     316212.34375,\n",
-       "     870857.3125,\n",
-       "     791450.0,\n",
-       "     0.0,\n",
-       "     211377.609375,\n",
-       "     2572220.5,\n",
-       "     591978.8125,\n",
-       "     0.0,\n",
-       "     200701.96875,\n",
-       "     0.0,\n",
-       "     374601.5,\n",
-       "     1433826.0,\n",
-       "     65540.9375,\n",
-       "     0.0,\n",
-       "     1210119.75,\n",
-       "     279536.40625,\n",
-       "     0.0,\n",
-       "     104044.796875,\n",
-       "     1380494.0,\n",
-       "     12276.982421875,\n",
-       "     0.0,\n",
-       "     1068.6312255859375,\n",
-       "     91362.4140625,\n",
-       "     420299.8125,\n",
-       "     351735.53125,\n",
-       "     426335.4375,\n",
-       "     109745.546875,\n",
-       "     238358.4375,\n",
-       "     2651943.75,\n",
-       "     138783.28125,\n",
-       "     19237.49609375,\n",
-       "     626846.3125,\n",
-       "     0.0,\n",
-       "     784982.75,\n",
-       "     865351.3125,\n",
-       "     255334.453125,\n",
-       "     484022.0,\n",
-       "     123612.0625,\n",
-       "     206039.78125,\n",
-       "     8540.5087890625,\n",
-       "     894286.75,\n",
-       "     0.0,\n",
-       "     602958.875,\n",
-       "     254782.859375,\n",
-       "     1857510.5,\n",
-       "     253784.890625,\n",
-       "     0.0,\n",
-       "     416300.90625,\n",
-       "     618466.9375,\n",
-       "     2282319.5,\n",
-       "     0.0,\n",
-       "     189617.453125,\n",
-       "     1525494.25,\n",
-       "     1182061.125,\n",
-       "     1067.5635986328125,\n",
-       "     510922.1875,\n",
-       "     301203.375,\n",
-       "     562606.0625,\n",
-       "     0.0,\n",
-       "     815618.625,\n",
-       "     160134.546875,\n",
-       "     0.0,\n",
-       "     1772445.25,\n",
-       "     221536.53125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     4323633.0,\n",
-       "     1726028.375,\n",
-       "     224465.9375,\n",
-       "     113171.03125,\n",
-       "     639104.0,\n",
-       "     373647.28125,\n",
-       "     0.0,\n",
-       "     1271569.5,\n",
-       "     528530.625,\n",
-       "     0.0,\n",
-       "     104044.796875,\n",
-       "     675384.4375,\n",
-       "     166539.921875,\n",
-       "     1254758.5,\n",
-       "     411864.84375,\n",
-       "     1872726.375,\n",
-       "     653648.9375,\n",
-       "     82560.2421875,\n",
-       "     45950.07421875,\n",
-       "     176148.0,\n",
-       "     0.0,\n",
-       "     123837.3828125,\n",
-       "     2135.127197265625,\n",
-       "     163434.96875,\n",
-       "     0.0,\n",
-       "     418116.65625,\n",
-       "     443255.25,\n",
-       "     618563.1875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     163337.25,\n",
-       "     587070.5,\n",
-       "     0.0,\n",
-       "     77697.7421875,\n",
-       "     10904282.0,\n",
-       "     5310385.0,\n",
-       "     351229.5625,\n",
-       "     250258.8125,\n",
-       "     857734.0,\n",
-       "     4849014.0,\n",
-       "     0.0,\n",
-       "     32026.91015625,\n",
-       "     517768.375,\n",
-       "     491079.28125,\n",
-       "     154796.734375,\n",
-       "     220985.6875,\n",
-       "     0.0,\n",
-       "     1047966.25,\n",
-       "     1062120.625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     750438.0,\n",
-       "     0.0,\n",
-       "     136019.484375,\n",
-       "     1099278.75,\n",
-       "     204607.734375,\n",
-       "     138783.28125,\n",
-       "     700778.1875,\n",
-       "     1067.5635986328125,\n",
-       "     1262422.75,\n",
-       "     1067.5635986328125,\n",
-       "     1456262.75,\n",
-       "     122769.8203125,\n",
-       "     769820.125,\n",
-       "     437701.09375,\n",
-       "     0.0,\n",
-       "     1118174.0,\n",
-       "     695714.9375,\n",
-       "     130509.65625,\n",
-       "     0.0,\n",
-       "     2755893.0,\n",
-       "     895.6859130859375,\n",
-       "     18575.607421875,\n",
-       "     3040.727294921875,\n",
-       "     561615.5625,\n",
-       "     1082509.5,\n",
-       "     0.0,\n",
-       "     240060.765625,\n",
-       "     538052.0625,\n",
-       "     4377.0107421875,\n",
-       "     626705.6875,\n",
-       "     1067.5635986328125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1044561.75,\n",
-       "     1201009.125,\n",
-       "     85999.90625,\n",
-       "     10675.63671875,\n",
-       "     332695.5625,\n",
-       "     602403.0625,\n",
-       "     176002.6875,\n",
-       "     845737.25,\n",
-       "     431946.03125,\n",
-       "     0.0,\n",
-       "     187176.65625,\n",
-       "     612781.5625,\n",
-       "     267908.5625,\n",
-       "     0.0,\n",
-       "     571642.0625,\n",
-       "     463044.40625,\n",
-       "     57377.43359375,\n",
-       "     0.0,\n",
-       "     168675.0625,\n",
-       "     1201906.625,\n",
-       "     388780.8125,\n",
-       "     11363148.0,\n",
-       "     261625.84375,\n",
-       "     0.0,\n",
-       "     2241.8837890625,\n",
-       "     144121.09375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     218747.8125,\n",
-       "     278207.09375,\n",
-       "     747.2945556640625,\n",
-       "     345443.75,\n",
-       "     0.0,\n",
-       "     146790.0,\n",
-       "     0.0,\n",
-       "     401715.375,\n",
-       "     37364.7265625,\n",
-       "     867228.125,\n",
-       "     599923.875,\n",
-       "     2174702.0,\n",
-       "     4364728.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     568339.0625,\n",
-       "     0.0,\n",
-       "     202837.09375,\n",
-       "     437701.09375,\n",
-       "     157239.265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     69761.015625,\n",
-       "     1000200.375,\n",
-       "     2674366.0,\n",
-       "     9783340.0,\n",
-       "     2709460.0,\n",
-       "     0.0,\n",
-       "     112799.6015625,\n",
-       "     1761479.5,\n",
-       "     0.0,\n",
-       "     558588.375,\n",
-       "     0.0,\n",
-       "     94621.3671875,\n",
-       "     245539.640625,\n",
-       "     1708.101806640625,\n",
-       "     401537.375,\n",
-       "     551369.875,\n",
-       "     0.0,\n",
-       "     809234.5,\n",
-       "     1515940.375,\n",
-       "     0.0,\n",
-       "     299131.34375,\n",
-       "     454782.125,\n",
-       "     0.0,\n",
-       "     396117.375,\n",
-       "     133445.453125,\n",
-       "     0.0,\n",
-       "     611.7139892578125,\n",
-       "     733528.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     945911.125,\n",
-       "     0.0,\n",
-       "     229664.171875,\n",
-       "     812766.875,\n",
-       "     0.0,\n",
-       "     1996.343994140625,\n",
-       "     90597.6015625,\n",
-       "     1357006.875,\n",
-       "     1305630.375,\n",
-       "     0.0,\n",
-       "     922372.625,\n",
-       "     600184.25,\n",
-       "     286107.0625,\n",
-       "     347532.5625,\n",
-       "     1229477.875,\n",
-       "     722080.6875,\n",
-       "     123610.0078125,\n",
-       "     0.0,\n",
-       "     1044381.5625,\n",
-       "     373647.28125,\n",
-       "     1152968.75,\n",
-       "     365036.3125,\n",
-       "     0.0,\n",
-       "     371305.4375,\n",
-       "     349995.09375,\n",
-       "     6031.73486328125,\n",
-       "     279274.65625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     563436.625,\n",
-       "     0.0,\n",
-       "     30959.345703125,\n",
-       "     1680861.5,\n",
-       "     25621.52734375,\n",
-       "     389024.71875,\n",
-       "     264538.9375,\n",
-       "     528321.5,\n",
-       "     297465.03125,\n",
-       "     49310.765625,\n",
-       "     668460.625,\n",
-       "     0.0,\n",
-       "     4270.25439453125,\n",
-       "     480403.65625,\n",
-       "     103623.34375,\n",
-       "     87633.1171875,\n",
-       "     0.0,\n",
-       "     1344598.25,\n",
-       "     880873.75,\n",
-       "     74954.875,\n",
-       "     26689.091796875,\n",
-       "     486815.5,\n",
-       "     2053774.5,\n",
-       "     309809.8125,\n",
-       "     992282.0625,\n",
-       "     241269.375,\n",
-       "     512430.5625,\n",
-       "     3384459.5,\n",
-       "     0.0,\n",
-       "     3565732.0,\n",
-       "     1270852.25,\n",
-       "     2651828.0,\n",
-       "     0.0,\n",
-       "     640.5382080078125,\n",
-       "     21992.201171875,\n",
-       "     0.0,\n",
-       "     455849.6875,\n",
-       "     341620.375,\n",
-       "     18699.4453125,\n",
-       "     4655.64501953125,\n",
-       "     102059.4765625,\n",
-       "     947192.875,\n",
-       "     2668.9091796875,\n",
-       "     471935.0625,\n",
-       "     49992.6640625,\n",
-       "     0.0,\n",
-       "     800.6727294921875,\n",
-       "     389024.71875,\n",
-       "     719361.625,\n",
-       "     98429.3671875,\n",
-       "     744776.0625,\n",
-       "     293580.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29487.880859375,\n",
-       "     775404.125,\n",
-       "     92878.0390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     236225.703125,\n",
-       "     619226.5,\n",
-       "     639834.8125,\n",
-       "     202143.8125,\n",
-       "     680656.9375,\n",
-       "     1459632.5,\n",
-       "     601194.1875,\n",
-       "     441779.5625,\n",
-       "     92878.0390625,\n",
-       "     441469.25,\n",
-       "     3736.472900390625,\n",
-       "     107060.6171875,\n",
-       "     271743.09375,\n",
-       "     1150086.375,\n",
-       "     112799.6015625,\n",
-       "     34083.0390625,\n",
-       "     318667.75,\n",
-       "     2215096.0,\n",
-       "     501314.8125,\n",
-       "     106756.3671875,\n",
-       "     2150325.0,\n",
-       "     838684.8125,\n",
-       "     49107.9296875,\n",
-       "     375615.625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     216086.890625,\n",
-       "     117432.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     383866.8125,\n",
-       "     1096381.375,\n",
-       "     367798.4375,\n",
-       "     61863.8828125,\n",
-       "     0.0,\n",
-       "     183620.953125,\n",
-       "     320269.09375,\n",
-       "     145188.65625,\n",
-       "     981339.125,\n",
-       "     345522.3125,\n",
-       "     1310912.125,\n",
-       "     1400643.25,\n",
-       "     2522832.5,\n",
-       "     0.0,\n",
-       "     108243.484375,\n",
-       "     0.0,\n",
-       "     234324.0,\n",
-       "     575492.125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     809791.625,\n",
-       "     1125291.75,\n",
-       "     336287.65625,\n",
-       "     855107.0,\n",
-       "     69391.640625,\n",
-       "     183300.6875,\n",
-       "     744314.125,\n",
-       "     20283.708984375,\n",
-       "     816266.625,\n",
-       "     302120.5,\n",
-       "     1218761.625,\n",
-       "     478432.875,\n",
-       "     2060763.25,\n",
-       "     0.0,\n",
-       "     1884897.25,\n",
-       "     0.0,\n",
-       "     747497.0,\n",
-       "     0.0,\n",
-       "     800557.625,\n",
-       "     197660.40625,\n",
-       "     1775358.375,\n",
-       "     0.0,\n",
-       "     160134.546875,\n",
-       "     332290.90625,\n",
-       "     0.0,\n",
-       "     303897.6875,\n",
-       "     4655.64501953125,\n",
-       "     1490871.25,\n",
-       "     812121.625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     509824.25,\n",
-       "     0.0,\n",
-       "     3210802.0,\n",
-       "     256215.28125,\n",
-       "     7965.1640625,\n",
-       "     250993.109375,\n",
-       "     350722.28125,\n",
-       "     0.0,\n",
-       "     1131995.375,\n",
-       "     0.0,\n",
-       "     546592.5625,\n",
-       "     1140392.5,\n",
-       "     1248230.25,\n",
-       "     8540.5087890625,\n",
-       "     147323.78125,\n",
-       "     577273.9375,\n",
-       "     1260030.625,\n",
-       "     369377.03125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     447224.5625,\n",
-       "     0.0,\n",
-       "     120898.3828125,\n",
-       "     281836.8125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     151594.046875,\n",
-       "     319201.53125,\n",
-       "     18110.25,\n",
-       "     0.0,\n",
-       "     106756.3671875,\n",
-       "     0.0,\n",
-       "     2610416.5,\n",
-       "     372280.3125,\n",
-       "     1293597.25,\n",
-       "     363398.65625,\n",
-       "     2361640.25,\n",
-       "     2731340.0,\n",
-       "     1266474.25,\n",
-       "     368371.75,\n",
-       "     1625985.25,\n",
-       "     572397.4375,\n",
-       "     1067.5635986328125,\n",
-       "     405674.1875,\n",
-       "     106.75636291503906,\n",
-       "     0.0,\n",
-       "     1390957.25,\n",
-       "     213512.734375,\n",
-       "     334487.5625,\n",
-       "     521504.84375,\n",
-       "     764555.75,\n",
-       "     4493188.0,\n",
-       "     0.0,\n",
-       "     624848.25,\n",
-       "     273296.28125,\n",
-       "     675927.9375,\n",
-       "     1327808.25,\n",
-       "     0.0,\n",
-       "     2.135127305984497,\n",
-       "     0.0,\n",
-       "     875297.0,\n",
-       "     237341.953125,\n",
-       "     170810.1875,\n",
-       "     709159.375,\n",
-       "     787353.0,\n",
-       "     0.0,\n",
-       "     346020.625,\n",
-       "     161735.890625,\n",
-       "     269559.8125,\n",
-       "     0.0,\n",
-       "     114400.5859375,\n",
-       "     289623.40625,\n",
-       "     676351.0,\n",
-       "     0.0,\n",
-       "     128107.640625,\n",
-       "     454938.5,\n",
-       "     511780.03125,\n",
-       "     0.0,\n",
-       "     866263.0625,\n",
-       "     236417.3125,\n",
-       "     0.0,\n",
-       "     108037.4453125,\n",
-       "     394998.5625,\n",
-       "     68441.3828125,\n",
-       "     666992.875,\n",
-       "     1780669.25,\n",
-       "     706966.75,\n",
-       "     524138.875,\n",
-       "     192161.453125,\n",
-       "     0.0,\n",
-       "     6405.3818359375,\n",
-       "     520125.8125,\n",
-       "     90464.03125,\n",
-       "     7657293.0,\n",
-       "     552046.75,\n",
-       "     0.0,\n",
-       "     195297.953125,\n",
-       "     0.0,\n",
-       "     743028.875,\n",
-       "     1068.6312255859375,\n",
-       "     1399576.0,\n",
-       "     0.0,\n",
-       "     3202.69091796875,\n",
-       "     364679.75,\n",
-       "     6287790.5,\n",
-       "     1381104.25,\n",
-       "     75691.828125,\n",
-       "     305323.1875,\n",
-       "     0.0,\n",
-       "     160134.546875,\n",
-       "     117432.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1504161.5,\n",
-       "     259496.6875,\n",
-       "     2139926.0,\n",
-       "     5543517.0,\n",
-       "     499861.125,\n",
-       "     1866738.25,\n",
-       "     0.0,\n",
-       "     475102.53125,\n",
-       "     661253.4375,\n",
-       "     1237351.125,\n",
-       "     387674.9375,\n",
-       "     1562918.625,\n",
-       "     160145.21875,\n",
-       "     864929.0,\n",
-       "     437914.59375,\n",
-       "     0.0,\n",
-       "     1601.345458984375,\n",
-       "     6252720.5,\n",
-       "     202837.09375,\n",
-       "     79912.171875,\n",
-       "     0.0,\n",
-       "     9608.0732421875,\n",
-       "     2633129.0,\n",
-       "     1549600.0,\n",
-       "     53187.84765625,\n",
-       "     213512.734375,\n",
-       "     1382672.5,\n",
-       "     494443.0,\n",
-       "     0.0,\n",
-       "     43267.06640625,\n",
-       "     225206.0,\n",
-       "     306390.75,\n",
-       "     1772155.75,\n",
-       "     0.0,\n",
-       "     559983.0,\n",
-       "     4845735.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27.756654739379883,\n",
-       "     0.0,\n",
-       "     1878.9119873046875,\n",
-       "     337883.875,\n",
-       "     0.0,\n",
-       "     344081.8125,\n",
-       "     585745.5,\n",
-       "     182660.140625,\n",
-       "     0.0,\n",
-       "     187891.203125,\n",
-       "     0.0,\n",
-       "     192161.46875,\n",
-       "     394278.5625,\n",
-       "     585187.5,\n",
-       "     7342.24658203125,\n",
-       "     92465.9609375,\n",
-       "     595700.5,\n",
-       "     490311.3125,\n",
-       "     211252.6875,\n",
-       "     288242.1875,\n",
-       "     640126.75,\n",
-       "     97682.0703125,\n",
-       "     322730.53125,\n",
-       "     0.0,\n",
-       "     166017.609375,\n",
-       "     356165.5625,\n",
-       "     6677597.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1180581.0,\n",
-       "     1026397.625,\n",
-       "     248735.0625,\n",
-       "     320523.96875,\n",
-       "     5934129.5,\n",
-       "     501912.25,\n",
-       "     1517408.0,\n",
-       "     517768.375,\n",
-       "     125065.078125,\n",
-       "     16753.146484375,\n",
-       "     0.0,\n",
-       "     618794.0625,\n",
-       "     18191.28515625,\n",
-       "     1100554.75,\n",
-       "     2929579.0,\n",
-       "     546756.0,\n",
-       "     0.0,\n",
-       "     1072856.25,\n",
-       "     255981.390625,\n",
-       "     497356.5625,\n",
-       "     390869.65625,\n",
-       "     339953.21875,\n",
-       "     3202.69091796875,\n",
-       "     1103408.875,\n",
-       "     1696551.25,\n",
-       "     620504.6875,\n",
-       "     337563.625,\n",
-       "     827564.25,\n",
-       "     1750743.75,\n",
-       "     1543906.75,\n",
-       "     1907432.0,\n",
-       "     747294.5625,\n",
-       "     2888960.25,\n",
-       "     2135.127197265625,\n",
-       "     2005883.25,\n",
-       "     0.0,\n",
-       "     1758220.25,\n",
-       "     122769.8203125,\n",
-       "     0.0,\n",
-       "     266.8908996582031,\n",
-       "     90742.9140625,\n",
-       "     986749.125,\n",
-       "     0.0,\n",
-       "     60824.84765625,\n",
-       "     245655.28125,\n",
-       "     0.0,\n",
-       "     587160.0,\n",
-       "     0.0,\n",
-       "     113161.75,\n",
-       "     68193.9609375,\n",
-       "     295274.375,\n",
-       "     78610.3203125,\n",
-       "     1310890.0,\n",
-       "     309377.0625,\n",
-       "     108338.7421875,\n",
-       "     2229072.0,\n",
-       "     320269.09375,\n",
-       "     0.0,\n",
-       "     335387.25,\n",
-       "     1708.101806640625,\n",
-       "     939412.1875,\n",
-       "     533.7817993164062,\n",
-       "     0.0,\n",
-       "     3581676.0,\n",
-       "     82560.2421875,\n",
-       "     848713.125,\n",
-       "     3177471.5,\n",
-       "     16013.455078125,\n",
-       "     10046951.0,\n",
-       "     4729.30712890625,\n",
-       "     0.0,\n",
-       "     309630.15625,\n",
-       "     325606.90625,\n",
-       "     793508.75,\n",
-       "     4804.03662109375,\n",
-       "     183514.203125,\n",
-       "     498994.25,\n",
-       "     479985.9375,\n",
-       "     ...],\n",
-       "    'wealth_decile': [7,\n",
-       "     2,\n",
-       "     8,\n",
-       "     9,\n",
-       "     7,\n",
-       "     5,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     10,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     10,\n",
-       "     9,\n",
-       "     9,\n",
-       "     10,\n",
-       "     7,\n",
-       "     8,\n",
-       "     7,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     6,\n",
-       "     2,\n",
-       "     10,\n",
-       "     10,\n",
-       "     8,\n",
-       "     10,\n",
-       "     6,\n",
-       "     10,\n",
-       "     10,\n",
-       "     3,\n",
-       "     9,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     6,\n",
-       "     8,\n",
-       "     9,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     9,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     7,\n",
-       "     3,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     3,\n",
-       "     10,\n",
-       "     4,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     10,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     9,\n",
-       "     2,\n",
-       "     6,\n",
-       "     10,\n",
-       "     3,\n",
-       "     2,\n",
-       "     8,\n",
-       "     6,\n",
-       "     3,\n",
-       "     5,\n",
-       "     10,\n",
-       "     9,\n",
-       "     3,\n",
-       "     6,\n",
-       "     8,\n",
-       "     4,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     7,\n",
-       "     6,\n",
-       "     4,\n",
-       "     6,\n",
-       "     5,\n",
-       "     2,\n",
-       "     9,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     5,\n",
-       "     8,\n",
-       "     2,\n",
-       "     6,\n",
-       "     5,\n",
-       "     5,\n",
-       "     10,\n",
-       "     5,\n",
-       "     2,\n",
-       "     5,\n",
-       "     8,\n",
-       "     5,\n",
-       "     8,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     10,\n",
-       "     9,\n",
-       "     4,\n",
-       "     3,\n",
-       "     4,\n",
-       "     8,\n",
-       "     4,\n",
-       "     10,\n",
-       "     8,\n",
-       "     6,\n",
-       "     3,\n",
-       "     3,\n",
-       "     9,\n",
-       "     10,\n",
-       "     10,\n",
-       "     10,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     4,\n",
-       "     7,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     4,\n",
-       "     4,\n",
-       "     9,\n",
-       "     9,\n",
-       "     9,\n",
-       "     3,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     9,\n",
-       "     4,\n",
-       "     7,\n",
-       "     3,\n",
-       "     8,\n",
-       "     9,\n",
-       "     5,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     7,\n",
-       "     5,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     9,\n",
-       "     3,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     6,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     7,\n",
-       "     2,\n",
-       "     5,\n",
-       "     10,\n",
-       "     6,\n",
-       "     10,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     10,\n",
-       "     6,\n",
-       "     2,\n",
-       "     8,\n",
-       "     4,\n",
-       "     5,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     8,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     10,\n",
-       "     5,\n",
-       "     6,\n",
-       "     6,\n",
-       "     7,\n",
-       "     8,\n",
-       "     7,\n",
-       "     6,\n",
-       "     8,\n",
-       "     8,\n",
-       "     4,\n",
-       "     9,\n",
-       "     4,\n",
-       "     5,\n",
-       "     10,\n",
-       "     10,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     10,\n",
-       "     5,\n",
-       "     5,\n",
-       "     8,\n",
-       "     3,\n",
-       "     5,\n",
-       "     8,\n",
-       "     2,\n",
-       "     9,\n",
-       "     6,\n",
-       "     9,\n",
-       "     9,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     7,\n",
-       "     4,\n",
-       "     9,\n",
-       "     6,\n",
-       "     4,\n",
-       "     9,\n",
-       "     5,\n",
-       "     5,\n",
-       "     4,\n",
-       "     6,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     7,\n",
-       "     8,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     10,\n",
-       "     8,\n",
-       "     2,\n",
-       "     5,\n",
-       "     8,\n",
-       "     8,\n",
-       "     3,\n",
-       "     2,\n",
-       "     7,\n",
-       "     6,\n",
-       "     6,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     6,\n",
-       "     10,\n",
-       "     5,\n",
-       "     8,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     8,\n",
-       "     9,\n",
-       "     4,\n",
-       "     3,\n",
-       "     3,\n",
-       "     4,\n",
-       "     4,\n",
-       "     7,\n",
-       "     4,\n",
-       "     8,\n",
-       "     2,\n",
-       "     7,\n",
-       "     7,\n",
-       "     6,\n",
-       "     8,\n",
-       "     10,\n",
-       "     10,\n",
-       "     4,\n",
-       "     8,\n",
-       "     8,\n",
-       "     5,\n",
-       "     7,\n",
-       "     7,\n",
-       "     2,\n",
-       "     9,\n",
-       "     10,\n",
-       "     9,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     5,\n",
-       "     8,\n",
-       "     8,\n",
-       "     8,\n",
-       "     2,\n",
-       "     10,\n",
-       "     10,\n",
-       "     2,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     8,\n",
-       "     8,\n",
-       "     2,\n",
-       "     5,\n",
-       "     10,\n",
-       "     7,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     9,\n",
-       "     4,\n",
-       "     2,\n",
-       "     9,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     9,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     6,\n",
-       "     6,\n",
-       "     6,\n",
-       "     4,\n",
-       "     5,\n",
-       "     10,\n",
-       "     4,\n",
-       "     3,\n",
-       "     7,\n",
-       "     2,\n",
-       "     8,\n",
-       "     8,\n",
-       "     5,\n",
-       "     7,\n",
-       "     4,\n",
-       "     5,\n",
-       "     3,\n",
-       "     8,\n",
-       "     2,\n",
-       "     7,\n",
-       "     5,\n",
-       "     10,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     7,\n",
-       "     10,\n",
-       "     2,\n",
-       "     5,\n",
-       "     9,\n",
-       "     9,\n",
-       "     2,\n",
-       "     7,\n",
-       "     6,\n",
-       "     7,\n",
-       "     2,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     10,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     10,\n",
-       "     10,\n",
-       "     5,\n",
-       "     4,\n",
-       "     7,\n",
-       "     6,\n",
-       "     2,\n",
-       "     9,\n",
-       "     7,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     5,\n",
-       "     9,\n",
-       "     6,\n",
-       "     10,\n",
-       "     8,\n",
-       "     4,\n",
-       "     3,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     6,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     2,\n",
-       "     4,\n",
-       "     10,\n",
-       "     10,\n",
-       "     6,\n",
-       "     5,\n",
-       "     8,\n",
-       "     10,\n",
-       "     2,\n",
-       "     3,\n",
-       "     7,\n",
-       "     7,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     9,\n",
-       "     9,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     4,\n",
-       "     9,\n",
-       "     5,\n",
-       "     4,\n",
-       "     8,\n",
-       "     2,\n",
-       "     9,\n",
-       "     2,\n",
-       "     9,\n",
-       "     4,\n",
-       "     8,\n",
-       "     6,\n",
-       "     2,\n",
-       "     9,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     10,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     7,\n",
-       "     9,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     3,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     9,\n",
-       "     4,\n",
-       "     3,\n",
-       "     6,\n",
-       "     7,\n",
-       "     5,\n",
-       "     8,\n",
-       "     6,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     5,\n",
-       "     2,\n",
-       "     7,\n",
-       "     7,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     9,\n",
-       "     6,\n",
-       "     10,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     6,\n",
-       "     3,\n",
-       "     8,\n",
-       "     7,\n",
-       "     10,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     10,\n",
-       "     10,\n",
-       "     10,\n",
-       "     2,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     7,\n",
-       "     2,\n",
-       "     8,\n",
-       "     9,\n",
-       "     2,\n",
-       "     6,\n",
-       "     7,\n",
-       "     2,\n",
-       "     6,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     5,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     9,\n",
-       "     9,\n",
-       "     2,\n",
-       "     8,\n",
-       "     7,\n",
-       "     5,\n",
-       "     6,\n",
-       "     9,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     9,\n",
-       "     6,\n",
-       "     9,\n",
-       "     6,\n",
-       "     2,\n",
-       "     6,\n",
-       "     6,\n",
-       "     3,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     3,\n",
-       "     10,\n",
-       "     3,\n",
-       "     6,\n",
-       "     5,\n",
-       "     7,\n",
-       "     5,\n",
-       "     4,\n",
-       "     8,\n",
-       "     2,\n",
-       "     3,\n",
-       "     7,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     9,\n",
-       "     8,\n",
-       "     4,\n",
-       "     3,\n",
-       "     7,\n",
-       "     10,\n",
-       "     6,\n",
-       "     8,\n",
-       "     5,\n",
-       "     7,\n",
-       "     10,\n",
-       "     2,\n",
-       "     10,\n",
-       "     9,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     7,\n",
-       "     6,\n",
-       "     3,\n",
-       "     3,\n",
-       "     4,\n",
-       "     8,\n",
-       "     3,\n",
-       "     7,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     8,\n",
-       "     4,\n",
-       "     8,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     7,\n",
-       "     5,\n",
-       "     8,\n",
-       "     9,\n",
-       "     7,\n",
-       "     6,\n",
-       "     4,\n",
-       "     6,\n",
-       "     3,\n",
-       "     4,\n",
-       "     5,\n",
-       "     9,\n",
-       "     4,\n",
-       "     3,\n",
-       "     6,\n",
-       "     10,\n",
-       "     7,\n",
-       "     4,\n",
-       "     10,\n",
-       "     8,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     9,\n",
-       "     6,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     4,\n",
-       "     8,\n",
-       "     6,\n",
-       "     9,\n",
-       "     9,\n",
-       "     10,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     9,\n",
-       "     6,\n",
-       "     8,\n",
-       "     4,\n",
-       "     5,\n",
-       "     8,\n",
-       "     3,\n",
-       "     8,\n",
-       "     6,\n",
-       "     9,\n",
-       "     7,\n",
-       "     10,\n",
-       "     2,\n",
-       "     10,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     8,\n",
-       "     5,\n",
-       "     10,\n",
-       "     2,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     6,\n",
-       "     3,\n",
-       "     9,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     10,\n",
-       "     5,\n",
-       "     3,\n",
-       "     5,\n",
-       "     6,\n",
-       "     2,\n",
-       "     9,\n",
-       "     2,\n",
-       "     7,\n",
-       "     9,\n",
-       "     9,\n",
-       "     3,\n",
-       "     4,\n",
-       "     7,\n",
-       "     9,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     6,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     10,\n",
-       "     6,\n",
-       "     9,\n",
-       "     6,\n",
-       "     10,\n",
-       "     10,\n",
-       "     9,\n",
-       "     6,\n",
-       "     10,\n",
-       "     7,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     5,\n",
-       "     6,\n",
-       "     7,\n",
-       "     8,\n",
-       "     10,\n",
-       "     2,\n",
-       "     7,\n",
-       "     5,\n",
-       "     8,\n",
-       "     9,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     5,\n",
-       "     5,\n",
-       "     8,\n",
-       "     8,\n",
-       "     2,\n",
-       "     6,\n",
-       "     5,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     8,\n",
-       "     2,\n",
-       "     4,\n",
-       "     7,\n",
-       "     7,\n",
-       "     2,\n",
-       "     8,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     6,\n",
-       "     4,\n",
-       "     8,\n",
-       "     10,\n",
-       "     8,\n",
-       "     7,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     7,\n",
-       "     4,\n",
-       "     10,\n",
-       "     7,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     9,\n",
-       "     2,\n",
-       "     3,\n",
-       "     6,\n",
-       "     10,\n",
-       "     9,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     5,\n",
-       "     10,\n",
-       "     10,\n",
-       "     7,\n",
-       "     10,\n",
-       "     2,\n",
-       "     7,\n",
-       "     8,\n",
-       "     9,\n",
-       "     6,\n",
-       "     9,\n",
-       "     4,\n",
-       "     8,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     10,\n",
-       "     5,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     10,\n",
-       "     9,\n",
-       "     4,\n",
-       "     5,\n",
-       "     9,\n",
-       "     7,\n",
-       "     2,\n",
-       "     3,\n",
-       "     5,\n",
-       "     6,\n",
-       "     10,\n",
-       "     2,\n",
-       "     7,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     6,\n",
-       "     7,\n",
-       "     5,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     7,\n",
-       "     3,\n",
-       "     4,\n",
-       "     7,\n",
-       "     7,\n",
-       "     5,\n",
-       "     5,\n",
-       "     7,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     9,\n",
-       "     5,\n",
-       "     6,\n",
-       "     10,\n",
-       "     7,\n",
-       "     9,\n",
-       "     7,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     7,\n",
-       "     3,\n",
-       "     9,\n",
-       "     10,\n",
-       "     7,\n",
-       "     2,\n",
-       "     9,\n",
-       "     5,\n",
-       "     7,\n",
-       "     6,\n",
-       "     6,\n",
-       "     3,\n",
-       "     9,\n",
-       "     10,\n",
-       "     7,\n",
-       "     6,\n",
-       "     8,\n",
-       "     10,\n",
-       "     9,\n",
-       "     10,\n",
-       "     8,\n",
-       "     10,\n",
-       "     2,\n",
-       "     10,\n",
-       "     2,\n",
-       "     10,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     5,\n",
-       "     4,\n",
-       "     9,\n",
-       "     6,\n",
-       "     4,\n",
-       "     10,\n",
-       "     6,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     10,\n",
-       "     4,\n",
-       "     8,\n",
-       "     10,\n",
-       "     3,\n",
-       "     10,\n",
-       "     3,\n",
-       "     2,\n",
-       "     6,\n",
-       "     6,\n",
-       "     8,\n",
-       "     3,\n",
-       "     5,\n",
-       "     7,\n",
-       "     7,\n",
-       "     ...],\n",
-       "    'in_poverty': [False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     ...],\n",
-       "    'person_in_poverty': [False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     ...],\n",
-       "    'person_in_deep_poverty': [False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     ...],\n",
-       "    'poverty_gap': 7105343211.114211,\n",
-       "    'deep_poverty_gap': 534585750.78572667,\n",
-       "    'poverty_rate': 0.06255884933261711,\n",
-       "    'deep_poverty_rate': 0.004517725675831334},\n",
-       "   'demographics': {'household_count_people': [3,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     5,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     9,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     5,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     6,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     6,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     6,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     ...],\n",
-       "    'person_weight': [28.242149353027344,\n",
-       "     28.242149353027344,\n",
-       "     28.242149353027344,\n",
-       "     46.80501937866211,\n",
-       "     46.80501937866211,\n",
-       "     46.80501937866211,\n",
-       "     23.999473571777344,\n",
-       "     23.999473571777344,\n",
-       "     23.999473571777344,\n",
-       "     40.036590576171875,\n",
-       "     40.036590576171875,\n",
-       "     319.1246032714844,\n",
-       "     319.1246032714844,\n",
-       "     58.23358154296875,\n",
-       "     58.23358154296875,\n",
-       "     58.23358154296875,\n",
-       "     290.2938537597656,\n",
-       "     290.2938537597656,\n",
-       "     10.826322555541992,\n",
-       "     10.826322555541992,\n",
-       "     18.18562889099121,\n",
-       "     32.117332458496094,\n",
-       "     32.117332458496094,\n",
-       "     43.09082794189453,\n",
-       "     43.09082794189453,\n",
-       "     43.09082794189453,\n",
-       "     43.09082794189453,\n",
-       "     31.772851943969727,\n",
-       "     31.772851943969727,\n",
-       "     31.772851943969727,\n",
-       "     31.772851943969727,\n",
-       "     31.772851943969727,\n",
-       "     20.178485870361328,\n",
-       "     20.178485870361328,\n",
-       "     18.06965446472168,\n",
-       "     18.06965446472168,\n",
-       "     18.671987533569336,\n",
-       "     209.88294982910156,\n",
-       "     209.88294982910156,\n",
-       "     21.307418823242188,\n",
-       "     21.307418823242188,\n",
-       "     114.24542236328125,\n",
-       "     114.24542236328125,\n",
-       "     33.831478118896484,\n",
-       "     33.831478118896484,\n",
-       "     33.831478118896484,\n",
-       "     33.831478118896484,\n",
-       "     44.90141677856445,\n",
-       "     44.90141677856445,\n",
-       "     44.90141677856445,\n",
-       "     45.325626373291016,\n",
-       "     45.325626373291016,\n",
-       "     45.325626373291016,\n",
-       "     45.325626373291016,\n",
-       "     45.325626373291016,\n",
-       "     24.144590377807617,\n",
-       "     79.82612609863281,\n",
-       "     79.82612609863281,\n",
-       "     79.82612609863281,\n",
-       "     79.82612609863281,\n",
-       "     79.82612609863281,\n",
-       "     79.82612609863281,\n",
-       "     14.016646385192871,\n",
-       "     282.30853271484375,\n",
-       "     282.30853271484375,\n",
-       "     34.989463806152344,\n",
-       "     34.989463806152344,\n",
-       "     21.942724227905273,\n",
-       "     21.942724227905273,\n",
-       "     205.44015502929688,\n",
-       "     205.44015502929688,\n",
-       "     39.89904022216797,\n",
-       "     39.89904022216797,\n",
-       "     19.02444076538086,\n",
-       "     29.60257911682129,\n",
-       "     29.60257911682129,\n",
-       "     104.54341125488281,\n",
-       "     104.54341125488281,\n",
-       "     94.42530822753906,\n",
-       "     94.42530822753906,\n",
-       "     94.42530822753906,\n",
-       "     94.42530822753906,\n",
-       "     63.71830368041992,\n",
-       "     63.71830368041992,\n",
-       "     30.37379264831543,\n",
-       "     30.37379264831543,\n",
-       "     30.37379264831543,\n",
-       "     30.37379264831543,\n",
-       "     746.3109741210938,\n",
-       "     746.3109741210938,\n",
-       "     746.3109741210938,\n",
-       "     746.3109741210938,\n",
-       "     262.5146179199219,\n",
-       "     262.5146179199219,\n",
-       "     301.7978210449219,\n",
-       "     301.7978210449219,\n",
-       "     301.7978210449219,\n",
-       "     59.51349639892578,\n",
-       "     59.51349639892578,\n",
-       "     39.839420318603516,\n",
-       "     25.185821533203125,\n",
-       "     25.185821533203125,\n",
-       "     36.8460807800293,\n",
-       "     36.8460807800293,\n",
-       "     47.40287399291992,\n",
-       "     47.40287399291992,\n",
-       "     47.40287399291992,\n",
-       "     47.40287399291992,\n",
-       "     28.797687530517578,\n",
-       "     38.371482849121094,\n",
-       "     38.371482849121094,\n",
-       "     7.789304256439209,\n",
-       "     6.997937202453613,\n",
-       "     111.38818359375,\n",
-       "     111.38818359375,\n",
-       "     40.009578704833984,\n",
-       "     40.009578704833984,\n",
-       "     212.98501586914062,\n",
-       "     212.98501586914062,\n",
-       "     23.419477462768555,\n",
-       "     73.20986938476562,\n",
-       "     73.20986938476562,\n",
-       "     110.51835632324219,\n",
-       "     110.51835632324219,\n",
-       "     92.79043579101562,\n",
-       "     92.79043579101562,\n",
-       "     184.57461547851562,\n",
-       "     184.57461547851562,\n",
-       "     184.57461547851562,\n",
-       "     184.57461547851562,\n",
-       "     184.57461547851562,\n",
-       "     184.57461547851562,\n",
-       "     9.06320858001709,\n",
-       "     7.600617408752441,\n",
-       "     29.39621925354004,\n",
-       "     29.39621925354004,\n",
-       "     29.39621925354004,\n",
-       "     29.39621925354004,\n",
-       "     36.01832962036133,\n",
-       "     27.438125610351562,\n",
-       "     27.438125610351562,\n",
-       "     56.51862335205078,\n",
-       "     56.51862335205078,\n",
-       "     34.7610969543457,\n",
-       "     28.407873153686523,\n",
-       "     28.407873153686523,\n",
-       "     28.407873153686523,\n",
-       "     28.407873153686523,\n",
-       "     46.22690200805664,\n",
-       "     46.22690200805664,\n",
-       "     184.8269500732422,\n",
-       "     28.927675247192383,\n",
-       "     28.927675247192383,\n",
-       "     81.71466827392578,\n",
-       "     81.71466827392578,\n",
-       "     80.8134765625,\n",
-       "     80.8134765625,\n",
-       "     94.04654693603516,\n",
-       "     94.04654693603516,\n",
-       "     9.590133666992188,\n",
-       "     9.590133666992188,\n",
-       "     9.590133666992188,\n",
-       "     1194.1971435546875,\n",
-       "     1194.1971435546875,\n",
-       "     1194.1971435546875,\n",
-       "     1194.1971435546875,\n",
-       "     76.40959167480469,\n",
-       "     76.40959167480469,\n",
-       "     20.353389739990234,\n",
-       "     20.353389739990234,\n",
-       "     20.353389739990234,\n",
-       "     20.353389739990234,\n",
-       "     20.353389739990234,\n",
-       "     33.174442291259766,\n",
-       "     33.174442291259766,\n",
-       "     45.14307403564453,\n",
-       "     45.14307403564453,\n",
-       "     45.14307403564453,\n",
-       "     45.14307403564453,\n",
-       "     45.14307403564453,\n",
-       "     53.31949996948242,\n",
-       "     53.31949996948242,\n",
-       "     30.570446014404297,\n",
-       "     26.836687088012695,\n",
-       "     74.53304290771484,\n",
-       "     74.53304290771484,\n",
-       "     74.53304290771484,\n",
-       "     74.53304290771484,\n",
-       "     74.53304290771484,\n",
-       "     134.6366729736328,\n",
-       "     28.297229766845703,\n",
-       "     38.551185607910156,\n",
-       "     19.281497955322266,\n",
-       "     30.92945671081543,\n",
-       "     30.92945671081543,\n",
-       "     30.92945671081543,\n",
-       "     30.92945671081543,\n",
-       "     90.17884063720703,\n",
-       "     90.17884063720703,\n",
-       "     90.17884063720703,\n",
-       "     154.83297729492188,\n",
-       "     154.83297729492188,\n",
-       "     154.83297729492188,\n",
-       "     154.83297729492188,\n",
-       "     41.390586853027344,\n",
-       "     41.390586853027344,\n",
-       "     25.554105758666992,\n",
-       "     19.096031188964844,\n",
-       "     23.780738830566406,\n",
-       "     23.780738830566406,\n",
-       "     71.38541412353516,\n",
-       "     71.38541412353516,\n",
-       "     69.7490005493164,\n",
-       "     490.34344482421875,\n",
-       "     490.34344482421875,\n",
-       "     1640.6968994140625,\n",
-       "     1640.6968994140625,\n",
-       "     26.102113723754883,\n",
-       "     8.504029273986816,\n",
-       "     8.504029273986816,\n",
-       "     8.9138822555542,\n",
-       "     8.9138822555542,\n",
-       "     30.532691955566406,\n",
-       "     26.963403701782227,\n",
-       "     123.43195343017578,\n",
-       "     123.43195343017578,\n",
-       "     19.758426666259766,\n",
-       "     23.556047439575195,\n",
-       "     23.556047439575195,\n",
-       "     21.44287109375,\n",
-       "     47.156822204589844,\n",
-       "     47.156822204589844,\n",
-       "     83.73397064208984,\n",
-       "     83.73397064208984,\n",
-       "     116.41424560546875,\n",
-       "     116.41424560546875,\n",
-       "     53.18351364135742,\n",
-       "     53.18351364135742,\n",
-       "     16.176658630371094,\n",
-       "     43.51107406616211,\n",
-       "     43.51107406616211,\n",
-       "     7.990398406982422,\n",
-       "     39.139984130859375,\n",
-       "     39.139984130859375,\n",
-       "     39.13148498535156,\n",
-       "     77.44499206542969,\n",
-       "     244.87086486816406,\n",
-       "     244.87086486816406,\n",
-       "     32.5803108215332,\n",
-       "     32.5803108215332,\n",
-       "     32.5803108215332,\n",
-       "     8.641592979431152,\n",
-       "     34.258522033691406,\n",
-       "     8736.19140625,\n",
-       "     8736.19140625,\n",
-       "     8736.19140625,\n",
-       "     8736.19140625,\n",
-       "     44.93291091918945,\n",
-       "     44.93291091918945,\n",
-       "     63.7723503112793,\n",
-       "     61.97844696044922,\n",
-       "     61.97844696044922,\n",
-       "     32.464134216308594,\n",
-       "     23.566247940063477,\n",
-       "     23.566247940063477,\n",
-       "     23.566247940063477,\n",
-       "     23.566247940063477,\n",
-       "     16645.962890625,\n",
-       "     16645.962890625,\n",
-       "     16645.962890625,\n",
-       "     16645.962890625,\n",
-       "     8.623653411865234,\n",
-       "     127.91293334960938,\n",
-       "     127.91293334960938,\n",
-       "     127.91293334960938,\n",
-       "     127.91293334960938,\n",
-       "     37.4765510559082,\n",
-       "     111.99394989013672,\n",
-       "     111.99394989013672,\n",
-       "     111.99394989013672,\n",
-       "     125.22480010986328,\n",
-       "     125.22480010986328,\n",
-       "     114.73353576660156,\n",
-       "     114.73353576660156,\n",
-       "     1555.2490234375,\n",
-       "     1555.2490234375,\n",
-       "     1555.2490234375,\n",
-       "     1555.2490234375,\n",
-       "     24.17667007446289,\n",
-       "     24.17667007446289,\n",
-       "     24.17667007446289,\n",
-       "     244.0413818359375,\n",
-       "     244.0413818359375,\n",
-       "     244.0413818359375,\n",
-       "     244.0413818359375,\n",
-       "     74.58797454833984,\n",
-       "     74.58797454833984,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     24.592029571533203,\n",
-       "     100.23110961914062,\n",
-       "     8.019574165344238,\n",
-       "     22.024221420288086,\n",
-       "     196.55812072753906,\n",
-       "     196.55812072753906,\n",
-       "     10.0629301071167,\n",
-       "     26.633651733398438,\n",
-       "     9.341270446777344,\n",
-       "     9.341270446777344,\n",
-       "     9.341270446777344,\n",
-       "     160.00205993652344,\n",
-       "     25.090591430664062,\n",
-       "     25.090591430664062,\n",
-       "     27.958616256713867,\n",
-       "     27.958616256713867,\n",
-       "     33.413421630859375,\n",
-       "     56.58835983276367,\n",
-       "     75.11299133300781,\n",
-       "     75.11299133300781,\n",
-       "     90.420654296875,\n",
-       "     32.67418670654297,\n",
-       "     54.854827880859375,\n",
-       "     65.36970520019531,\n",
-       "     65.36970520019531,\n",
-       "     15.61748218536377,\n",
-       "     15.61748218536377,\n",
-       "     15.61748218536377,\n",
-       "     34.05690383911133,\n",
-       "     34.05690383911133,\n",
-       "     34.05690383911133,\n",
-       "     34.05690383911133,\n",
-       "     767.959716796875,\n",
-       "     767.959716796875,\n",
-       "     767.959716796875,\n",
-       "     767.959716796875,\n",
-       "     767.959716796875,\n",
-       "     39.399654388427734,\n",
-       "     39.399654388427734,\n",
-       "     39.399654388427734,\n",
-       "     29.0726375579834,\n",
-       "     29.0726375579834,\n",
-       "     29.0726375579834,\n",
-       "     82.9017333984375,\n",
-       "     82.9017333984375,\n",
-       "     51.59709930419922,\n",
-       "     51.59709930419922,\n",
-       "     36.804237365722656,\n",
-       "     28.704092025756836,\n",
-       "     28.704092025756836,\n",
-       "     28.704092025756836,\n",
-       "     28.704092025756836,\n",
-       "     28.704092025756836,\n",
-       "     142.19129943847656,\n",
-       "     142.19129943847656,\n",
-       "     29.95490264892578,\n",
-       "     29.95490264892578,\n",
-       "     29.95490264892578,\n",
-       "     29.95490264892578,\n",
-       "     50.495479583740234,\n",
-       "     160.04151916503906,\n",
-       "     160.04151916503906,\n",
-       "     160.04151916503906,\n",
-       "     160.04151916503906,\n",
-       "     95.4728775024414,\n",
-       "     13.032922744750977,\n",
-       "     13.032922744750977,\n",
-       "     438.0936584472656,\n",
-       "     25.435516357421875,\n",
-       "     62.001888275146484,\n",
-       "     62.001888275146484,\n",
-       "     62.001888275146484,\n",
-       "     62.001888275146484,\n",
-       "     62.001888275146484,\n",
-       "     18.926958084106445,\n",
-       "     79.778564453125,\n",
-       "     24.411231994628906,\n",
-       "     30.95073890686035,\n",
-       "     23.880308151245117,\n",
-       "     98.3361587524414,\n",
-       "     98.3361587524414,\n",
-       "     53.99956512451172,\n",
-       "     31.282690048217773,\n",
-       "     31.282690048217773,\n",
-       "     24.828489303588867,\n",
-       "     95.39952087402344,\n",
-       "     95.39952087402344,\n",
-       "     29.91636848449707,\n",
-       "     29.91636848449707,\n",
-       "     29.91636848449707,\n",
-       "     29.046144485473633,\n",
-       "     29.046144485473633,\n",
-       "     280.32794189453125,\n",
-       "     280.32794189453125,\n",
-       "     52.531494140625,\n",
-       "     52.531494140625,\n",
-       "     32.828460693359375,\n",
-       "     32.828460693359375,\n",
-       "     21.872875213623047,\n",
-       "     31.914512634277344,\n",
-       "     60.90550231933594,\n",
-       "     60.90550231933594,\n",
-       "     24.419986724853516,\n",
-       "     26.44912338256836,\n",
-       "     26.44912338256836,\n",
-       "     57.484676361083984,\n",
-       "     57.484676361083984,\n",
-       "     7.871554374694824,\n",
-       "     179.61581420898438,\n",
-       "     179.61581420898438,\n",
-       "     179.61581420898438,\n",
-       "     179.61581420898438,\n",
-       "     179.61581420898438,\n",
-       "     8.477884292602539,\n",
-       "     72.51541900634766,\n",
-       "     72.51541900634766,\n",
-       "     20.13242530822754,\n",
-       "     23.228296279907227,\n",
-       "     28.653247833251953,\n",
-       "     12.58013916015625,\n",
-       "     12.58013916015625,\n",
-       "     12.58013916015625,\n",
-       "     23.084768295288086,\n",
-       "     68.72532653808594,\n",
-       "     68.72532653808594,\n",
-       "     30.086450576782227,\n",
-       "     30.086450576782227,\n",
-       "     52.67949295043945,\n",
-       "     52.67949295043945,\n",
-       "     38.49380111694336,\n",
-       "     38.49380111694336,\n",
-       "     37.2798957824707,\n",
-       "     37.2798957824707,\n",
-       "     48.809207916259766,\n",
-       "     48.809207916259766,\n",
-       "     48.809207916259766,\n",
-       "     48.809207916259766,\n",
-       "     59.176551818847656,\n",
-       "     59.176551818847656,\n",
-       "     59.176551818847656,\n",
-       "     44.63967514038086,\n",
-       "     42.50554275512695,\n",
-       "     29.16765022277832,\n",
-       "     134.17138671875,\n",
-       "     134.17138671875,\n",
-       "     134.17138671875,\n",
-       "     134.17138671875,\n",
-       "     134.17138671875,\n",
-       "     33.469566345214844,\n",
-       "     33.469566345214844,\n",
-       "     26.317380905151367,\n",
-       "     85.4616470336914,\n",
-       "     85.4616470336914,\n",
-       "     85.4616470336914,\n",
-       "     85.4616470336914,\n",
-       "     85.4616470336914,\n",
-       "     13.612092971801758,\n",
-       "     21.696300506591797,\n",
-       "     25.094533920288086,\n",
-       "     25.094533920288086,\n",
-       "     83.97547912597656,\n",
-       "     83.97547912597656,\n",
-       "     35.32173156738281,\n",
-       "     35.32173156738281,\n",
-       "     26.05023956298828,\n",
-       "     26.05023956298828,\n",
-       "     26.05023956298828,\n",
-       "     20.915502548217773,\n",
-       "     23.04576873779297,\n",
-       "     28.619813919067383,\n",
-       "     28.619813919067383,\n",
-       "     28.61835289001465,\n",
-       "     33.329410552978516,\n",
-       "     17.94207763671875,\n",
-       "     17.94207763671875,\n",
-       "     17.94207763671875,\n",
-       "     9.63046646118164,\n",
-       "     9.63046646118164,\n",
-       "     95.58506774902344,\n",
-       "     95.58506774902344,\n",
-       "     95.58506774902344,\n",
-       "     95.58506774902344,\n",
-       "     52.847835540771484,\n",
-       "     41.31187057495117,\n",
-       "     41.31187057495117,\n",
-       "     31.275516510009766,\n",
-       "     26494.5234375,\n",
-       "     26494.5234375,\n",
-       "     26494.5234375,\n",
-       "     26494.5234375,\n",
-       "     30.938993453979492,\n",
-       "     30.938993453979492,\n",
-       "     59.856266021728516,\n",
-       "     43.062042236328125,\n",
-       "     43.062042236328125,\n",
-       "     44.59657287597656,\n",
-       "     51.06792068481445,\n",
-       "     102.48807525634766,\n",
-       "     102.48807525634766,\n",
-       "     3726.961669921875,\n",
-       "     3726.961669921875,\n",
-       "     26.917036056518555,\n",
-       "     18.76892852783203,\n",
-       "     18.76892852783203,\n",
-       "     18.76892852783203,\n",
-       "     18.76892852783203,\n",
-       "     25.2055606842041,\n",
-       "     84.37887573242188,\n",
-       "     44.74599838256836,\n",
-       "     44.74599838256836,\n",
-       "     17.199106216430664,\n",
-       "     36.21172332763672,\n",
-       "     36.21172332763672,\n",
-       "     35.43221664428711,\n",
-       "     24.235986709594727,\n",
-       "     1349.5811767578125,\n",
-       "     1349.5811767578125,\n",
-       "     140.4710693359375,\n",
-       "     140.4710693359375,\n",
-       "     31.35894012451172,\n",
-       "     31.35894012451172,\n",
-       "     31.35894012451172,\n",
-       "     31.35894012451172,\n",
-       "     23.45647621154785,\n",
-       "     25.17761993408203,\n",
-       "     25.17761993408203,\n",
-       "     37.43434524536133,\n",
-       "     37.43434524536133,\n",
-       "     37.43434524536133,\n",
-       "     53.80603790283203,\n",
-       "     31.383758544921875,\n",
-       "     53.90730667114258,\n",
-       "     53.90730667114258,\n",
-       "     343.1087646484375,\n",
-       "     343.1087646484375,\n",
-       "     38.38011169433594,\n",
-       "     38.38011169433594,\n",
-       "     38.38011169433594,\n",
-       "     38.38011169433594,\n",
-       "     39.77899169921875,\n",
-       "     112.42691802978516,\n",
-       "     112.42691802978516,\n",
-       "     112.42691802978516,\n",
-       "     112.42691802978516,\n",
-       "     122.82071685791016,\n",
-       "     122.82071685791016,\n",
-       "     20.101877212524414,\n",
-       "     18.68659019470215,\n",
-       "     204.53883361816406,\n",
-       "     204.53883361816406,\n",
-       "     57.286155700683594,\n",
-       "     14.508488655090332,\n",
-       "     14.508488655090332,\n",
-       "     14.508488655090332,\n",
-       "     14.508488655090332,\n",
-       "     39.236366271972656,\n",
-       "     39.236366271972656,\n",
-       "     39.236366271972656,\n",
-       "     23.45498275756836,\n",
-       "     23.45498275756836,\n",
-       "     25.313365936279297,\n",
-       "     25.313365936279297,\n",
-       "     25.313365936279297,\n",
-       "     7.640000343322754,\n",
-       "     55.74361801147461,\n",
-       "     55.74361801147461,\n",
-       "     55.74361801147461,\n",
-       "     118.56034851074219,\n",
-       "     118.56034851074219,\n",
-       "     118.56034851074219,\n",
-       "     118.56034851074219,\n",
-       "     46.266693115234375,\n",
-       "     46.266693115234375,\n",
-       "     46.266693115234375,\n",
-       "     101.79549407958984,\n",
-       "     26.219223022460938,\n",
-       "     26.219223022460938,\n",
-       "     26.59097671508789,\n",
-       "     73.16544342041016,\n",
-       "     73.16544342041016,\n",
-       "     4.6649675369262695,\n",
-       "     4.6649675369262695,\n",
-       "     4.6649675369262695,\n",
-       "     4.6649675369262695,\n",
-       "     102.63156127929688,\n",
-       "     102.63156127929688,\n",
-       "     102.63156127929688,\n",
-       "     102.63156127929688,\n",
-       "     25.901548385620117,\n",
-       "     25.901548385620117,\n",
-       "     25.901548385620117,\n",
-       "     25.901548385620117,\n",
-       "     25.42319679260254,\n",
-       "     35.7122688293457,\n",
-       "     35.7122688293457,\n",
-       "     35.7122688293457,\n",
-       "     123.4432601928711,\n",
-       "     123.4432601928711,\n",
-       "     123.4432601928711,\n",
-       "     123.4432601928711,\n",
-       "     123.4432601928711,\n",
-       "     12773.021484375,\n",
-       "     12773.021484375,\n",
-       "     12773.021484375,\n",
-       "     12773.021484375,\n",
-       "     35.29640197753906,\n",
-       "     41.34097671508789,\n",
-       "     41.34097671508789,\n",
-       "     17.646257400512695,\n",
-       "     54.104286193847656,\n",
-       "     54.104286193847656,\n",
-       "     227.4977264404297,\n",
-       "     227.4977264404297,\n",
-       "     227.4977264404297,\n",
-       "     227.4977264404297,\n",
-       "     227.4977264404297,\n",
-       "     227.4977264404297,\n",
-       "     254.66741943359375,\n",
-       "     254.66741943359375,\n",
-       "     254.66741943359375,\n",
-       "     35.556182861328125,\n",
-       "     20.405641555786133,\n",
-       "     20.405641555786133,\n",
-       "     20.405641555786133,\n",
-       "     35.32471466064453,\n",
-       "     35.32471466064453,\n",
-       "     35.729862213134766,\n",
-       "     35.729862213134766,\n",
-       "     36.06106185913086,\n",
-       "     664.3406372070312,\n",
-       "     664.3406372070312,\n",
-       "     664.3406372070312,\n",
-       "     8.032919883728027,\n",
-       "     31.60088348388672,\n",
-       "     31.60088348388672,\n",
-       "     31.60088348388672,\n",
-       "     24.500505447387695,\n",
-       "     30.368999481201172,\n",
-       "     30.368999481201172,\n",
-       "     30.368999481201172,\n",
-       "     49.92478942871094,\n",
-       "     49.92478942871094,\n",
-       "     49.92478942871094,\n",
-       "     49.92478942871094,\n",
-       "     41.470497131347656,\n",
-       "     198.9549560546875,\n",
-       "     198.9549560546875,\n",
-       "     22.570316314697266,\n",
-       "     22.570316314697266,\n",
-       "     61.06841278076172,\n",
-       "     61.06841278076172,\n",
-       "     19.733320236206055,\n",
-       "     18.51359748840332,\n",
-       "     18.51359748840332,\n",
-       "     18.51359748840332,\n",
-       "     18.51359748840332,\n",
-       "     26.698163986206055,\n",
-       "     132.5131072998047,\n",
-       "     132.5131072998047,\n",
-       "     132.5131072998047,\n",
-       "     87.39599609375,\n",
-       "     87.39599609375,\n",
-       "     15.069024085998535,\n",
-       "     15.069024085998535,\n",
-       "     27.100372314453125,\n",
-       "     27.100372314453125,\n",
-       "     27.100372314453125,\n",
-       "     27.100372314453125,\n",
-       "     63.87034225463867,\n",
-       "     63.87034225463867,\n",
-       "     63.87034225463867,\n",
-       "     63.87034225463867,\n",
-       "     30.030494689941406,\n",
-       "     30.030494689941406,\n",
-       "     46.02188491821289,\n",
-       "     12.42951774597168,\n",
-       "     12.42951774597168,\n",
-       "     12.42951774597168,\n",
-       "     31.426227569580078,\n",
-       "     31.426227569580078,\n",
-       "     11399.9130859375,\n",
-       "     11399.9130859375,\n",
-       "     11399.9130859375,\n",
-       "     11399.9130859375,\n",
-       "     11399.9130859375,\n",
-       "     11399.9130859375,\n",
-       "     8.660289764404297,\n",
-       "     38.9617919921875,\n",
-       "     56.292938232421875,\n",
-       "     56.292938232421875,\n",
-       "     26.372861862182617,\n",
-       "     26.372861862182617,\n",
-       "     22.04472541809082,\n",
-       "     68.2925796508789,\n",
-       "     68.2925796508789,\n",
-       "     320.4150085449219,\n",
-       "     320.4150085449219,\n",
-       "     320.4150085449219,\n",
-       "     118.28704071044922,\n",
-       "     118.28704071044922,\n",
-       "     118.28704071044922,\n",
-       "     118.28704071044922,\n",
-       "     443.4452819824219,\n",
-       "     443.4452819824219,\n",
-       "     443.4452819824219,\n",
-       "     10.389924049377441,\n",
-       "     19.26616859436035,\n",
-       "     44.08513259887695,\n",
-       "     22.871849060058594,\n",
-       "     22.871849060058594,\n",
-       "     124.8387680053711,\n",
-       "     124.8387680053711,\n",
-       "     38.5760383605957,\n",
-       "     38.5760383605957,\n",
-       "     11681.0107421875,\n",
-       "     11681.0107421875,\n",
-       "     11681.0107421875,\n",
-       "     11681.0107421875,\n",
-       "     209.7700958251953,\n",
-       "     209.7700958251953,\n",
-       "     209.7700958251953,\n",
-       "     25.145465850830078,\n",
-       "     46.553932189941406,\n",
-       "     46.553932189941406,\n",
-       "     1077.1380615234375,\n",
-       "     1077.1380615234375,\n",
-       "     36.829097747802734,\n",
-       "     36.829097747802734,\n",
-       "     36.829097747802734,\n",
-       "     28.240446090698242,\n",
-       "     19.669275283813477,\n",
-       "     31.054983139038086,\n",
-       "     31.054983139038086,\n",
-       "     20.774761199951172,\n",
-       "     48.37118911743164,\n",
-       "     48.37118911743164,\n",
-       "     17.527498245239258,\n",
-       "     17.527498245239258,\n",
-       "     31.0816650390625,\n",
-       "     20.67710304260254,\n",
-       "     30.72968292236328,\n",
-       "     20.236570358276367,\n",
-       "     65.9017333984375,\n",
-       "     65.9017333984375,\n",
-       "     23.537521362304688,\n",
-       "     37.6465950012207,\n",
-       "     36.654090881347656,\n",
-       "     36.654090881347656,\n",
-       "     87.95944213867188,\n",
-       "     87.95944213867188,\n",
-       "     30.14996337890625,\n",
-       "     58.37077713012695,\n",
-       "     58.37077713012695,\n",
-       "     30.13671112060547,\n",
-       "     24.07550621032715,\n",
-       "     40.146114349365234,\n",
-       "     40.146114349365234,\n",
-       "     40.146114349365234,\n",
-       "     115.78044128417969,\n",
-       "     115.78044128417969,\n",
-       "     14.15937614440918,\n",
-       "     14.15937614440918,\n",
-       "     20.89550018310547,\n",
-       "     3.9720547199249268,\n",
-       "     33.40971755981445,\n",
-       "     33.40971755981445,\n",
-       "     52.2775993347168,\n",
-       "     52.2775993347168,\n",
-       "     52.2775993347168,\n",
-       "     25.43512725830078,\n",
-       "     25.43512725830078,\n",
-       "     64.60677337646484,\n",
-       "     64.60677337646484,\n",
-       "     7.628475189208984,\n",
-       "     75422.34375,\n",
-       "     75422.34375,\n",
-       "     110.41958618164062,\n",
-       "     110.41958618164062,\n",
-       "     194.68777465820312,\n",
-       "     194.68777465820312,\n",
-       "     194.68777465820312,\n",
-       "     194.68777465820312,\n",
-       "     194.68777465820312,\n",
-       "     35.505279541015625,\n",
-       "     35.505279541015625,\n",
-       "     42.56560134887695,\n",
-       "     39.07632827758789,\n",
-       "     39.07632827758789,\n",
-       "     39.07632827758789,\n",
-       "     39.07632827758789,\n",
-       "     29.779067993164062,\n",
-       "     29.779067993164062,\n",
-       "     19.369304656982422,\n",
-       "     24.996742248535156,\n",
-       "     11720.8369140625,\n",
-       "     11720.8369140625,\n",
-       "     11720.8369140625,\n",
-       "     11720.8369140625,\n",
-       "     11720.8369140625,\n",
-       "     61.66079330444336,\n",
-       "     61.66079330444336,\n",
-       "     21.175073623657227,\n",
-       "     98.76887512207031,\n",
-       "     98.76887512207031,\n",
-       "     20.606599807739258,\n",
-       "     20.606599807739258,\n",
-       "     33.786659240722656,\n",
-       "     18.662525177001953,\n",
-       "     28.453044891357422,\n",
-       "     19.431034088134766,\n",
-       "     19.431034088134766,\n",
-       "     120.7717514038086,\n",
-       "     120.7717514038086,\n",
-       "     151.54269409179688,\n",
-       "     151.54269409179688,\n",
-       "     151.54269409179688,\n",
-       "     151.54269409179688,\n",
-       "     22.18948745727539,\n",
-       "     16.650720596313477,\n",
-       "     54.773746490478516,\n",
-       "     54.773746490478516,\n",
-       "     54.773746490478516,\n",
-       "     99.66673278808594,\n",
-       "     99.66673278808594,\n",
-       "     99.66673278808594,\n",
-       "     32.324241638183594,\n",
-       "     32.324241638183594,\n",
-       "     32.324241638183594,\n",
-       "     32.324241638183594,\n",
-       "     4308.68994140625,\n",
-       "     4308.68994140625,\n",
-       "     4308.68994140625,\n",
-       "     4308.68994140625,\n",
-       "     26.252056121826172,\n",
-       "     57.84855270385742,\n",
-       "     57.84855270385742,\n",
-       "     57.84855270385742,\n",
-       "     20.360336303710938,\n",
-       "     20.360336303710938,\n",
-       "     57646.9921875,\n",
-       "     57646.9921875,\n",
-       "     57646.9921875,\n",
-       "     57646.9921875,\n",
-       "     57646.9921875,\n",
-       "     228742.90625,\n",
-       "     228742.90625,\n",
-       "     31.200725555419922,\n",
-       "     31.200725555419922,\n",
-       "     40.30677795410156,\n",
-       "     40.30677795410156,\n",
-       "     40.30677795410156,\n",
-       "     40.30677795410156,\n",
-       "     40.30677795410156,\n",
-       "     40.30677795410156,\n",
-       "     42.9063606262207,\n",
-       "     42.9063606262207,\n",
-       "     42.9063606262207,\n",
-       "     35.15571594238281,\n",
-       "     35.15571594238281,\n",
-       "     35.15571594238281,\n",
-       "     38.43263244628906,\n",
-       "     38.43263244628906,\n",
-       "     91.56676483154297,\n",
-       "     91.56676483154297,\n",
-       "     91.56676483154297,\n",
-       "     91.56676483154297,\n",
-       "     7.553915977478027,\n",
-       "     15.160603523254395,\n",
-       "     15.160603523254395,\n",
-       "     15.160603523254395,\n",
-       "     15.160603523254395,\n",
-       "     20.811511993408203,\n",
-       "     20.811511993408203,\n",
-       "     20.811511993408203,\n",
-       "     20.811511993408203,\n",
-       "     20.811511993408203,\n",
-       "     20.811511993408203,\n",
-       "     6.828880786895752,\n",
-       "     6.828880786895752,\n",
-       "     6.828880786895752,\n",
-       "     1789.230712890625,\n",
-       "     1789.230712890625,\n",
-       "     20.204023361206055,\n",
-       "     24.286148071289062,\n",
-       "     346.27386474609375,\n",
-       "     346.27386474609375,\n",
-       "     19.6539363861084,\n",
-       "     227.10731506347656,\n",
-       "     186.01747131347656,\n",
-       "     186.01747131347656,\n",
-       "     186.01747131347656,\n",
-       "     186.01747131347656,\n",
-       "     186.01747131347656,\n",
-       "     26.937658309936523,\n",
-       "     26.937658309936523,\n",
-       "     26.937658309936523,\n",
-       "     41.5850715637207,\n",
-       "     41.5850715637207,\n",
-       "     74.98391723632812,\n",
-       "     74.98391723632812,\n",
-       "     24.90932273864746,\n",
-       "     24.90932273864746,\n",
-       "     23.569917678833008,\n",
-       "     23.569917678833008,\n",
-       "     74.51676940917969,\n",
-       "     23.479656219482422,\n",
-       "     7.8914408683776855,\n",
-       "     32.133968353271484,\n",
-       "     32.133968353271484,\n",
-       "     101.44974517822266,\n",
-       "     101.44974517822266,\n",
-       "     478.8811950683594,\n",
-       "     478.8811950683594,\n",
-       "     481.9111022949219,\n",
-       "     481.9111022949219,\n",
-       "     481.9111022949219,\n",
-       "     481.9111022949219,\n",
-       "     481.9111022949219,\n",
-       "     32.73618698120117,\n",
-       "     32.73618698120117,\n",
-       "     48.27867126464844,\n",
-       "     48.27867126464844,\n",
-       "     98.82022094726562,\n",
-       "     98.82022094726562,\n",
-       "     49.547908782958984,\n",
-       "     49.547908782958984,\n",
-       "     41.0729866027832,\n",
-       "     41.0729866027832,\n",
-       "     19.117454528808594,\n",
-       "     27.5860538482666,\n",
-       "     27.5860538482666,\n",
-       "     41.13151931762695,\n",
-       "     28.08635139465332,\n",
-       "     28.08635139465332,\n",
-       "     37.49348449707031,\n",
-       "     37.49348449707031,\n",
-       "     37.49348449707031,\n",
-       "     37.49348449707031,\n",
-       "     49.498023986816406,\n",
-       "     49.498023986816406,\n",
-       "     49.498023986816406,\n",
-       "     49.498023986816406,\n",
-       "     233.0972137451172,\n",
-       "     233.0972137451172,\n",
-       "     50.8763427734375,\n",
-       "     124.87788391113281,\n",
-       "     124.87788391113281,\n",
-       "     124.87788391113281,\n",
-       "     124.87788391113281,\n",
-       "     44.79485321044922,\n",
-       "     44.79485321044922,\n",
-       "     15.80577278137207,\n",
-       "     15.80577278137207,\n",
-       "     15.80577278137207,\n",
-       "     15.80577278137207,\n",
-       "     38.82398986816406,\n",
-       "     38.82398986816406,\n",
-       "     29.37957191467285,\n",
-       "     22.65690803527832,\n",
-       "     45.49738311767578,\n",
-       "     45.49738311767578,\n",
-       "     45.49738311767578,\n",
-       "     45.49738311767578,\n",
-       "     3500.255126953125,\n",
-       "     3500.255126953125,\n",
-       "     3500.255126953125,\n",
-       "     3500.255126953125,\n",
-       "     8.021744728088379,\n",
-       "     36.637908935546875,\n",
-       "     20.358747482299805,\n",
-       "     24.077688217163086,\n",
-       "     24.077688217163086,\n",
-       "     317.02789306640625,\n",
-       "     317.02789306640625,\n",
-       "     25.808713912963867,\n",
-       "     43.17150115966797,\n",
-       "     43.17150115966797,\n",
-       "     43.17150115966797,\n",
-       "     32.133785247802734,\n",
-       "     32.133785247802734,\n",
-       "     32.133785247802734,\n",
-       "     10.273715019226074,\n",
-       "     10.273715019226074,\n",
-       "     27.704740524291992,\n",
-       "     27.704740524291992,\n",
-       "     45.786766052246094,\n",
-       "     45.786766052246094,\n",
-       "     28.401771545410156,\n",
-       "     31.565929412841797,\n",
-       "     31.565929412841797,\n",
-       "     31.565929412841797,\n",
-       "     33.33272933959961,\n",
-       "     33.33272933959961,\n",
-       "     68.33909606933594,\n",
-       "     ...],\n",
-       "    'household_weight': [28.242149353027344,\n",
-       "     46.80501937866211,\n",
-       "     23.999473571777344,\n",
-       "     40.036590576171875,\n",
-       "     319.1246032714844,\n",
-       "     58.23358154296875,\n",
-       "     290.2938537597656,\n",
-       "     10.826322555541992,\n",
-       "     18.18562889099121,\n",
-       "     32.117332458496094,\n",
-       "     43.09082794189453,\n",
-       "     31.772851943969727,\n",
-       "     20.178485870361328,\n",
-       "     18.06965446472168,\n",
-       "     18.671987533569336,\n",
-       "     209.88294982910156,\n",
-       "     21.307418823242188,\n",
-       "     114.24542236328125,\n",
-       "     33.831478118896484,\n",
-       "     44.90141677856445,\n",
-       "     45.325626373291016,\n",
-       "     24.144590377807617,\n",
-       "     79.82612609863281,\n",
-       "     14.016646385192871,\n",
-       "     282.30853271484375,\n",
-       "     34.989463806152344,\n",
-       "     21.942724227905273,\n",
-       "     205.44015502929688,\n",
-       "     39.89904022216797,\n",
-       "     19.02444076538086,\n",
-       "     29.60257911682129,\n",
-       "     104.54341125488281,\n",
-       "     94.42530822753906,\n",
-       "     63.71830368041992,\n",
-       "     30.37379264831543,\n",
-       "     746.3109741210938,\n",
-       "     262.5146179199219,\n",
-       "     301.7978210449219,\n",
-       "     59.51349639892578,\n",
-       "     39.839420318603516,\n",
-       "     25.185821533203125,\n",
-       "     36.8460807800293,\n",
-       "     47.40287399291992,\n",
-       "     28.797687530517578,\n",
-       "     38.371482849121094,\n",
-       "     7.789304256439209,\n",
-       "     6.997937202453613,\n",
-       "     111.38818359375,\n",
-       "     40.009578704833984,\n",
-       "     212.98501586914062,\n",
-       "     23.419477462768555,\n",
-       "     73.20986938476562,\n",
-       "     110.51835632324219,\n",
-       "     92.79043579101562,\n",
-       "     184.57461547851562,\n",
-       "     9.06320858001709,\n",
-       "     7.600617408752441,\n",
-       "     29.39621925354004,\n",
-       "     36.01832962036133,\n",
-       "     27.438125610351562,\n",
-       "     56.51862335205078,\n",
-       "     34.7610969543457,\n",
-       "     28.407873153686523,\n",
-       "     46.22690200805664,\n",
-       "     184.8269500732422,\n",
-       "     28.927675247192383,\n",
-       "     81.71466827392578,\n",
-       "     80.8134765625,\n",
-       "     94.04654693603516,\n",
-       "     9.590133666992188,\n",
-       "     1194.1971435546875,\n",
-       "     76.40959167480469,\n",
-       "     20.353389739990234,\n",
-       "     33.174442291259766,\n",
-       "     45.14307403564453,\n",
-       "     53.31949996948242,\n",
-       "     30.570446014404297,\n",
-       "     26.836687088012695,\n",
-       "     74.53304290771484,\n",
-       "     134.6366729736328,\n",
-       "     28.297229766845703,\n",
-       "     38.551185607910156,\n",
-       "     19.281497955322266,\n",
-       "     30.92945671081543,\n",
-       "     90.17884063720703,\n",
-       "     154.83297729492188,\n",
-       "     41.390586853027344,\n",
-       "     25.554105758666992,\n",
-       "     19.096031188964844,\n",
-       "     23.780738830566406,\n",
-       "     71.38541412353516,\n",
-       "     69.7490005493164,\n",
-       "     490.34344482421875,\n",
-       "     1640.6968994140625,\n",
-       "     26.102113723754883,\n",
-       "     8.504029273986816,\n",
-       "     8.9138822555542,\n",
-       "     30.532691955566406,\n",
-       "     26.963403701782227,\n",
-       "     123.43195343017578,\n",
-       "     19.758426666259766,\n",
-       "     23.556047439575195,\n",
-       "     21.44287109375,\n",
-       "     47.156822204589844,\n",
-       "     83.73397064208984,\n",
-       "     116.41424560546875,\n",
-       "     53.18351364135742,\n",
-       "     16.176658630371094,\n",
-       "     43.51107406616211,\n",
-       "     7.990398406982422,\n",
-       "     39.139984130859375,\n",
-       "     39.13148498535156,\n",
-       "     77.44499206542969,\n",
-       "     244.87086486816406,\n",
-       "     32.5803108215332,\n",
-       "     8.641592979431152,\n",
-       "     34.258522033691406,\n",
-       "     8736.19140625,\n",
-       "     44.93291091918945,\n",
-       "     63.7723503112793,\n",
-       "     61.97844696044922,\n",
-       "     32.464134216308594,\n",
-       "     23.566247940063477,\n",
-       "     16645.962890625,\n",
-       "     8.623653411865234,\n",
-       "     127.91293334960938,\n",
-       "     37.4765510559082,\n",
-       "     111.99394989013672,\n",
-       "     125.22480010986328,\n",
-       "     114.73353576660156,\n",
-       "     1555.2490234375,\n",
-       "     24.17667007446289,\n",
-       "     244.0413818359375,\n",
-       "     74.58797454833984,\n",
-       "     16150.6162109375,\n",
-       "     24.592029571533203,\n",
-       "     100.23110961914062,\n",
-       "     8.019574165344238,\n",
-       "     22.024221420288086,\n",
-       "     196.55812072753906,\n",
-       "     10.0629301071167,\n",
-       "     26.633651733398438,\n",
-       "     9.341270446777344,\n",
-       "     160.00205993652344,\n",
-       "     25.090591430664062,\n",
-       "     27.958616256713867,\n",
-       "     33.413421630859375,\n",
-       "     56.58835983276367,\n",
-       "     75.11299133300781,\n",
-       "     90.420654296875,\n",
-       "     32.67418670654297,\n",
-       "     54.854827880859375,\n",
-       "     65.36970520019531,\n",
-       "     15.61748218536377,\n",
-       "     34.05690383911133,\n",
-       "     767.959716796875,\n",
-       "     39.399654388427734,\n",
-       "     29.0726375579834,\n",
-       "     82.9017333984375,\n",
-       "     51.59709930419922,\n",
-       "     36.804237365722656,\n",
-       "     28.704092025756836,\n",
-       "     142.19129943847656,\n",
-       "     29.95490264892578,\n",
-       "     50.495479583740234,\n",
-       "     160.04151916503906,\n",
-       "     95.4728775024414,\n",
-       "     13.032922744750977,\n",
-       "     438.0936584472656,\n",
-       "     25.435516357421875,\n",
-       "     62.001888275146484,\n",
-       "     18.926958084106445,\n",
-       "     79.778564453125,\n",
-       "     24.411231994628906,\n",
-       "     30.95073890686035,\n",
-       "     23.880308151245117,\n",
-       "     98.3361587524414,\n",
-       "     53.99956512451172,\n",
-       "     31.282690048217773,\n",
-       "     24.828489303588867,\n",
-       "     95.39952087402344,\n",
-       "     29.91636848449707,\n",
-       "     29.046144485473633,\n",
-       "     280.32794189453125,\n",
-       "     52.531494140625,\n",
-       "     32.828460693359375,\n",
-       "     21.872875213623047,\n",
-       "     31.914512634277344,\n",
-       "     60.90550231933594,\n",
-       "     24.419986724853516,\n",
-       "     26.44912338256836,\n",
-       "     57.484676361083984,\n",
-       "     7.871554374694824,\n",
-       "     179.61581420898438,\n",
-       "     8.477884292602539,\n",
-       "     72.51541900634766,\n",
-       "     20.13242530822754,\n",
-       "     23.228296279907227,\n",
-       "     28.653247833251953,\n",
-       "     12.58013916015625,\n",
-       "     23.084768295288086,\n",
-       "     68.72532653808594,\n",
-       "     30.086450576782227,\n",
-       "     52.67949295043945,\n",
-       "     38.49380111694336,\n",
-       "     37.2798957824707,\n",
-       "     48.809207916259766,\n",
-       "     59.176551818847656,\n",
-       "     44.63967514038086,\n",
-       "     42.50554275512695,\n",
-       "     29.16765022277832,\n",
-       "     134.17138671875,\n",
-       "     33.469566345214844,\n",
-       "     26.317380905151367,\n",
-       "     85.4616470336914,\n",
-       "     13.612092971801758,\n",
-       "     21.696300506591797,\n",
-       "     25.094533920288086,\n",
-       "     83.97547912597656,\n",
-       "     35.32173156738281,\n",
-       "     26.05023956298828,\n",
-       "     20.915502548217773,\n",
-       "     23.04576873779297,\n",
-       "     28.619813919067383,\n",
-       "     28.61835289001465,\n",
-       "     33.329410552978516,\n",
-       "     17.94207763671875,\n",
-       "     9.63046646118164,\n",
-       "     95.58506774902344,\n",
-       "     52.847835540771484,\n",
-       "     41.31187057495117,\n",
-       "     31.275516510009766,\n",
-       "     26494.5234375,\n",
-       "     30.938993453979492,\n",
-       "     59.856266021728516,\n",
-       "     43.062042236328125,\n",
-       "     44.59657287597656,\n",
-       "     51.06792068481445,\n",
-       "     102.48807525634766,\n",
-       "     3726.961669921875,\n",
-       "     26.917036056518555,\n",
-       "     18.76892852783203,\n",
-       "     25.2055606842041,\n",
-       "     84.37887573242188,\n",
-       "     44.74599838256836,\n",
-       "     17.199106216430664,\n",
-       "     36.21172332763672,\n",
-       "     35.43221664428711,\n",
-       "     24.235986709594727,\n",
-       "     1349.5811767578125,\n",
-       "     140.4710693359375,\n",
-       "     31.35894012451172,\n",
-       "     23.45647621154785,\n",
-       "     25.17761993408203,\n",
-       "     37.43434524536133,\n",
-       "     53.80603790283203,\n",
-       "     31.383758544921875,\n",
-       "     53.90730667114258,\n",
-       "     343.1087646484375,\n",
-       "     38.38011169433594,\n",
-       "     39.77899169921875,\n",
-       "     112.42691802978516,\n",
-       "     122.82071685791016,\n",
-       "     20.101877212524414,\n",
-       "     18.68659019470215,\n",
-       "     204.53883361816406,\n",
-       "     57.286155700683594,\n",
-       "     14.508488655090332,\n",
-       "     39.236366271972656,\n",
-       "     23.45498275756836,\n",
-       "     25.313365936279297,\n",
-       "     7.640000343322754,\n",
-       "     55.74361801147461,\n",
-       "     118.56034851074219,\n",
-       "     46.266693115234375,\n",
-       "     101.79549407958984,\n",
-       "     26.219223022460938,\n",
-       "     26.59097671508789,\n",
-       "     73.16544342041016,\n",
-       "     4.6649675369262695,\n",
-       "     102.63156127929688,\n",
-       "     25.901548385620117,\n",
-       "     25.42319679260254,\n",
-       "     35.7122688293457,\n",
-       "     123.4432601928711,\n",
-       "     12773.021484375,\n",
-       "     35.29640197753906,\n",
-       "     41.34097671508789,\n",
-       "     17.646257400512695,\n",
-       "     54.104286193847656,\n",
-       "     227.4977264404297,\n",
-       "     254.66741943359375,\n",
-       "     35.556182861328125,\n",
-       "     20.405641555786133,\n",
-       "     35.32471466064453,\n",
-       "     35.729862213134766,\n",
-       "     36.06106185913086,\n",
-       "     664.3406372070312,\n",
-       "     8.032919883728027,\n",
-       "     31.60088348388672,\n",
-       "     24.500505447387695,\n",
-       "     30.368999481201172,\n",
-       "     49.92478942871094,\n",
-       "     41.470497131347656,\n",
-       "     198.9549560546875,\n",
-       "     22.570316314697266,\n",
-       "     61.06841278076172,\n",
-       "     19.733320236206055,\n",
-       "     18.51359748840332,\n",
-       "     26.698163986206055,\n",
-       "     132.5131072998047,\n",
-       "     87.39599609375,\n",
-       "     15.069024085998535,\n",
-       "     27.100372314453125,\n",
-       "     63.87034225463867,\n",
-       "     30.030494689941406,\n",
-       "     46.02188491821289,\n",
-       "     12.42951774597168,\n",
-       "     31.426227569580078,\n",
-       "     11399.9130859375,\n",
-       "     8.660289764404297,\n",
-       "     38.9617919921875,\n",
-       "     56.292938232421875,\n",
-       "     26.372861862182617,\n",
-       "     22.04472541809082,\n",
-       "     68.2925796508789,\n",
-       "     320.4150085449219,\n",
-       "     118.28704071044922,\n",
-       "     443.4452819824219,\n",
-       "     10.389924049377441,\n",
-       "     19.26616859436035,\n",
-       "     44.08513259887695,\n",
-       "     22.871849060058594,\n",
-       "     124.8387680053711,\n",
-       "     38.5760383605957,\n",
-       "     11681.0107421875,\n",
-       "     209.7700958251953,\n",
-       "     25.145465850830078,\n",
-       "     46.553932189941406,\n",
-       "     1077.1380615234375,\n",
-       "     36.829097747802734,\n",
-       "     28.240446090698242,\n",
-       "     19.669275283813477,\n",
-       "     31.054983139038086,\n",
-       "     20.774761199951172,\n",
-       "     48.37118911743164,\n",
-       "     17.527498245239258,\n",
-       "     31.0816650390625,\n",
-       "     20.67710304260254,\n",
-       "     30.72968292236328,\n",
-       "     20.236570358276367,\n",
-       "     65.9017333984375,\n",
-       "     23.537521362304688,\n",
-       "     37.6465950012207,\n",
-       "     36.654090881347656,\n",
-       "     87.95944213867188,\n",
-       "     30.14996337890625,\n",
-       "     58.37077713012695,\n",
-       "     30.13671112060547,\n",
-       "     24.07550621032715,\n",
-       "     40.146114349365234,\n",
-       "     115.78044128417969,\n",
-       "     14.15937614440918,\n",
-       "     20.89550018310547,\n",
-       "     3.9720547199249268,\n",
-       "     33.40971755981445,\n",
-       "     52.2775993347168,\n",
-       "     25.43512725830078,\n",
-       "     64.60677337646484,\n",
-       "     7.628475189208984,\n",
-       "     75422.34375,\n",
-       "     110.41958618164062,\n",
-       "     194.68777465820312,\n",
-       "     35.505279541015625,\n",
-       "     42.56560134887695,\n",
-       "     39.07632827758789,\n",
-       "     29.779067993164062,\n",
-       "     19.369304656982422,\n",
-       "     24.996742248535156,\n",
-       "     11720.8369140625,\n",
-       "     61.66079330444336,\n",
-       "     21.175073623657227,\n",
-       "     98.76887512207031,\n",
-       "     20.606599807739258,\n",
-       "     33.786659240722656,\n",
-       "     18.662525177001953,\n",
-       "     28.453044891357422,\n",
-       "     19.431034088134766,\n",
-       "     120.7717514038086,\n",
-       "     151.54269409179688,\n",
-       "     22.18948745727539,\n",
-       "     16.650720596313477,\n",
-       "     54.773746490478516,\n",
-       "     99.66673278808594,\n",
-       "     32.324241638183594,\n",
-       "     4308.68994140625,\n",
-       "     26.252056121826172,\n",
-       "     57.84855270385742,\n",
-       "     20.360336303710938,\n",
-       "     57646.9921875,\n",
-       "     228742.90625,\n",
-       "     31.200725555419922,\n",
-       "     40.30677795410156,\n",
-       "     42.9063606262207,\n",
-       "     35.15571594238281,\n",
-       "     38.43263244628906,\n",
-       "     91.56676483154297,\n",
-       "     7.553915977478027,\n",
-       "     15.160603523254395,\n",
-       "     20.811511993408203,\n",
-       "     6.828880786895752,\n",
-       "     1789.230712890625,\n",
-       "     20.204023361206055,\n",
-       "     24.286148071289062,\n",
-       "     346.27386474609375,\n",
-       "     19.6539363861084,\n",
-       "     227.10731506347656,\n",
-       "     186.01747131347656,\n",
-       "     26.937658309936523,\n",
-       "     41.5850715637207,\n",
-       "     74.98391723632812,\n",
-       "     24.90932273864746,\n",
-       "     23.569917678833008,\n",
-       "     74.51676940917969,\n",
-       "     23.479656219482422,\n",
-       "     7.8914408683776855,\n",
-       "     32.133968353271484,\n",
-       "     101.44974517822266,\n",
-       "     478.8811950683594,\n",
-       "     481.9111022949219,\n",
-       "     32.73618698120117,\n",
-       "     48.27867126464844,\n",
-       "     98.82022094726562,\n",
-       "     49.547908782958984,\n",
-       "     41.0729866027832,\n",
-       "     19.117454528808594,\n",
-       "     27.5860538482666,\n",
-       "     41.13151931762695,\n",
-       "     28.08635139465332,\n",
-       "     37.49348449707031,\n",
-       "     49.498023986816406,\n",
-       "     233.0972137451172,\n",
-       "     50.8763427734375,\n",
-       "     124.87788391113281,\n",
-       "     44.79485321044922,\n",
-       "     15.80577278137207,\n",
-       "     38.82398986816406,\n",
-       "     29.37957191467285,\n",
-       "     22.65690803527832,\n",
-       "     45.49738311767578,\n",
-       "     3500.255126953125,\n",
-       "     8.021744728088379,\n",
-       "     36.637908935546875,\n",
-       "     20.358747482299805,\n",
-       "     24.077688217163086,\n",
-       "     317.02789306640625,\n",
-       "     25.808713912963867,\n",
-       "     43.17150115966797,\n",
-       "     32.133785247802734,\n",
-       "     10.273715019226074,\n",
-       "     27.704740524291992,\n",
-       "     45.786766052246094,\n",
-       "     28.401771545410156,\n",
-       "     31.565929412841797,\n",
-       "     33.33272933959961,\n",
-       "     68.33909606933594,\n",
-       "     78.24613952636719,\n",
-       "     12.20848274230957,\n",
-       "     43.32186508178711,\n",
-       "     27.522151947021484,\n",
-       "     93.13650512695312,\n",
-       "     24.294950485229492,\n",
-       "     189.66326904296875,\n",
-       "     146.65618896484375,\n",
-       "     25.84233856201172,\n",
-       "     50.18196105957031,\n",
-       "     28.27105140686035,\n",
-       "     40.21383285522461,\n",
-       "     26.37224578857422,\n",
-       "     116.51704406738281,\n",
-       "     180.51116943359375,\n",
-       "     38.27302551269531,\n",
-       "     29.138916015625,\n",
-       "     81209.3515625,\n",
-       "     26.80150604248047,\n",
-       "     48.34397888183594,\n",
-       "     77.17735290527344,\n",
-       "     36.51317596435547,\n",
-       "     8.339164733886719,\n",
-       "     31.767253875732422,\n",
-       "     55.910152435302734,\n",
-       "     25.986488342285156,\n",
-       "     12671.03515625,\n",
-       "     27.51320457458496,\n",
-       "     56.45180130004883,\n",
-       "     76.10295104980469,\n",
-       "     44.57008361816406,\n",
-       "     36.456851959228516,\n",
-       "     68.07799530029297,\n",
-       "     29.730253219604492,\n",
-       "     32.43329620361328,\n",
-       "     18.978092193603516,\n",
-       "     9.371033668518066,\n",
-       "     80.16841125488281,\n",
-       "     30.737377166748047,\n",
-       "     44.296260833740234,\n",
-       "     24.082406997680664,\n",
-       "     42.62151336669922,\n",
-       "     9.543537139892578,\n",
-       "     27.178924560546875,\n",
-       "     122.48465728759766,\n",
-       "     211.5702362060547,\n",
-       "     29.55289077758789,\n",
-       "     90.36311340332031,\n",
-       "     32.936710357666016,\n",
-       "     48.66644287109375,\n",
-       "     28.885408401489258,\n",
-       "     100.52787017822266,\n",
-       "     49.253517150878906,\n",
-       "     50.8596076965332,\n",
-       "     33.19301223754883,\n",
-       "     123.25515747070312,\n",
-       "     17.03289031982422,\n",
-       "     21.81167984008789,\n",
-       "     42.217891693115234,\n",
-       "     107.16097259521484,\n",
-       "     75.89432525634766,\n",
-       "     23.667015075683594,\n",
-       "     56.91862487792969,\n",
-       "     54.842350006103516,\n",
-       "     27.949846267700195,\n",
-       "     42.967987060546875,\n",
-       "     22.591413497924805,\n",
-       "     475.7314758300781,\n",
-       "     27.852066040039062,\n",
-       "     26.91028594970703,\n",
-       "     28.905298233032227,\n",
-       "     22.205158233642578,\n",
-       "     495.7840881347656,\n",
-       "     139.74560546875,\n",
-       "     41.20463180541992,\n",
-       "     20.8092098236084,\n",
-       "     64.87281036376953,\n",
-       "     25509.48828125,\n",
-       "     742.6254272460938,\n",
-       "     88.88448333740234,\n",
-       "     37.8209342956543,\n",
-       "     45.28633117675781,\n",
-       "     49.422019958496094,\n",
-       "     33.699546813964844,\n",
-       "     7.88087797164917,\n",
-       "     35.27408981323242,\n",
-       "     24.21812629699707,\n",
-       "     27.140623092651367,\n",
-       "     27.43670082092285,\n",
-       "     35.01750564575195,\n",
-       "     88.72260284423828,\n",
-       "     69.74231719970703,\n",
-       "     48.520477294921875,\n",
-       "     81.13410186767578,\n",
-       "     31.859851837158203,\n",
-       "     9.064040184020996,\n",
-       "     23.752965927124023,\n",
-       "     180.64532470703125,\n",
-       "     521.6224975585938,\n",
-       "     19.425310134887695,\n",
-       "     30.754941940307617,\n",
-       "     11.20598316192627,\n",
-       "     20.52555274963379,\n",
-       "     16.73333168029785,\n",
-       "     142.5982208251953,\n",
-       "     8.130870819091797,\n",
-       "     57.091121673583984,\n",
-       "     45.064292907714844,\n",
-       "     21.070842742919922,\n",
-       "     110.8116455078125,\n",
-       "     26.09881591796875,\n",
-       "     36.49736022949219,\n",
-       "     40.8791618347168,\n",
-       "     69.22997283935547,\n",
-       "     92.81848907470703,\n",
-       "     11.977202415466309,\n",
-       "     120.67728424072266,\n",
-       "     13.511035919189453,\n",
-       "     47.45903396606445,\n",
-       "     57.43730545043945,\n",
-       "     97.10781860351562,\n",
-       "     128.81521606445312,\n",
-       "     54.1357421875,\n",
-       "     559.6054077148438,\n",
-       "     201.12103271484375,\n",
-       "     53.43246841430664,\n",
-       "     66.09152221679688,\n",
-       "     36.68221664428711,\n",
-       "     370.2716979980469,\n",
-       "     60.584129333496094,\n",
-       "     124.5239028930664,\n",
-       "     82.646240234375,\n",
-       "     35.10287857055664,\n",
-       "     40.58534622192383,\n",
-       "     21.88373565673828,\n",
-       "     22.397127151489258,\n",
-       "     23.788694381713867,\n",
-       "     8998.4521484375,\n",
-       "     32.30588912963867,\n",
-       "     26.71613311767578,\n",
-       "     25.443115234375,\n",
-       "     26.071346282958984,\n",
-       "     37.27550506591797,\n",
-       "     25.599700927734375,\n",
-       "     49.656471252441406,\n",
-       "     116.1102294921875,\n",
-       "     93.41844940185547,\n",
-       "     23.849533081054688,\n",
-       "     25.36341667175293,\n",
-       "     35.1338996887207,\n",
-       "     52.95706558227539,\n",
-       "     36.73451614379883,\n",
-       "     6.117847442626953,\n",
-       "     524.9666748046875,\n",
-       "     9.699667930603027,\n",
-       "     39.9635009765625,\n",
-       "     42.189476013183594,\n",
-       "     63.87661361694336,\n",
-       "     68.07786560058594,\n",
-       "     47.901031494140625,\n",
-       "     17.65812110900879,\n",
-       "     664.2684326171875,\n",
-       "     321.7586669921875,\n",
-       "     31.622394561767578,\n",
-       "     26.346460342407227,\n",
-       "     30.11229133605957,\n",
-       "     67.34693908691406,\n",
-       "     162.7297821044922,\n",
-       "     130.43927001953125,\n",
-       "     33.19267272949219,\n",
-       "     27.963655471801758,\n",
-       "     22398.759765625,\n",
-       "     51.41410446166992,\n",
-       "     111.35924530029297,\n",
-       "     44.99341583251953,\n",
-       "     25.26917839050293,\n",
-       "     23.641569137573242,\n",
-       "     21.86798858642578,\n",
-       "     23.061235427856445,\n",
-       "     22.17639923095703,\n",
-       "     114.16553497314453,\n",
-       "     309.32916259765625,\n",
-       "     53.26786422729492,\n",
-       "     53.183563232421875,\n",
-       "     10.897358894348145,\n",
-       "     60.68538284301758,\n",
-       "     71.96173095703125,\n",
-       "     70.36080169677734,\n",
-       "     31.388673782348633,\n",
-       "     20145.208984375,\n",
-       "     25.005765914916992,\n",
-       "     878.1486206054688,\n",
-       "     36.71416091918945,\n",
-       "     40.28757095336914,\n",
-       "     23.292160034179688,\n",
-       "     1416.2142333984375,\n",
-       "     35.93791198730469,\n",
-       "     149.52703857421875,\n",
-       "     50.79178237915039,\n",
-       "     55.27119445800781,\n",
-       "     36.429298400878906,\n",
-       "     47.621307373046875,\n",
-       "     34.303409576416016,\n",
-       "     15.042612075805664,\n",
-       "     17.039262771606445,\n",
-       "     23.58864974975586,\n",
-       "     210.0742950439453,\n",
-       "     36.1551399230957,\n",
-       "     45.853240966796875,\n",
-       "     12030.251953125,\n",
-       "     31.810583114624023,\n",
-       "     33.43047332763672,\n",
-       "     33.70047378540039,\n",
-       "     43.46784973144531,\n",
-       "     20.2988224029541,\n",
-       "     21.06975746154785,\n",
-       "     67.80582427978516,\n",
-       "     82.29581451416016,\n",
-       "     8.1028413772583,\n",
-       "     47.00740051269531,\n",
-       "     28.639923095703125,\n",
-       "     21.906150817871094,\n",
-       "     46.424827575683594,\n",
-       "     36.915645599365234,\n",
-       "     26.711196899414062,\n",
-       "     32.44154739379883,\n",
-       "     59.117042541503906,\n",
-       "     74.95713806152344,\n",
-       "     148.52203369140625,\n",
-       "     8.828947067260742,\n",
-       "     560.364013671875,\n",
-       "     62.23111343383789,\n",
-       "     288.2350769042969,\n",
-       "     81.37005615234375,\n",
-       "     144.430908203125,\n",
-       "     63.74538040161133,\n",
-       "     26.690271377563477,\n",
-       "     28.667530059814453,\n",
-       "     30.918338775634766,\n",
-       "     34.81563949584961,\n",
-       "     35.908424377441406,\n",
-       "     192.0653839111328,\n",
-       "     648.81103515625,\n",
-       "     26.497249603271484,\n",
-       "     26.941646575927734,\n",
-       "     22.58795166015625,\n",
-       "     57.01644515991211,\n",
-       "     252.75946044921875,\n",
-       "     17.341148376464844,\n",
-       "     144.19741821289062,\n",
-       "     29.277118682861328,\n",
-       "     41.46324157714844,\n",
-       "     169.3571014404297,\n",
-       "     27.72432518005371,\n",
-       "     101.27507019042969,\n",
-       "     19.45806121826172,\n",
-       "     53.42601013183594,\n",
-       "     19.13066864013672,\n",
-       "     42.555809020996094,\n",
-       "     68.21251678466797,\n",
-       "     48.53764724731445,\n",
-       "     27.182392120361328,\n",
-       "     1236.9078369140625,\n",
-       "     16.671600341796875,\n",
-       "     87.8784408569336,\n",
-       "     12.048067092895508,\n",
-       "     41.45891189575195,\n",
-       "     123.57081604003906,\n",
-       "     27.613815307617188,\n",
-       "     20.524578094482422,\n",
-       "     14.835566520690918,\n",
-       "     37.99099349975586,\n",
-       "     65.80184936523438,\n",
-       "     52.391544342041016,\n",
-       "     27.784547805786133,\n",
-       "     25.413583755493164,\n",
-       "     24.290721893310547,\n",
-       "     29.84189796447754,\n",
-       "     93.54571533203125,\n",
-       "     12.833515167236328,\n",
-       "     31.93730926513672,\n",
-       "     21.837779998779297,\n",
-       "     40.02711486816406,\n",
-       "     30.645097732543945,\n",
-       "     34.03675842285156,\n",
-       "     28.055727005004883,\n",
-       "     4114.03173828125,\n",
-       "     312.41644287109375,\n",
-       "     38.029319763183594,\n",
-       "     20.067974090576172,\n",
-       "     27.55293846130371,\n",
-       "     130.69515991210938,\n",
-       "     270.5059509277344,\n",
-       "     28.26038932800293,\n",
-       "     79.09233093261719,\n",
-       "     22.47134780883789,\n",
-       "     39.074195861816406,\n",
-       "     20.090557098388672,\n",
-       "     39.33311080932617,\n",
-       "     25.52715492248535,\n",
-       "     32.4786491394043,\n",
-       "     37.721580505371094,\n",
-       "     37.12297821044922,\n",
-       "     19.233322143554688,\n",
-       "     25.292463302612305,\n",
-       "     27.200090408325195,\n",
-       "     20.994054794311523,\n",
-       "     73.67050170898438,\n",
-       "     32.33354568481445,\n",
-       "     32.11463165283203,\n",
-       "     41.62809371948242,\n",
-       "     126795.9921875,\n",
-       "     39.350181579589844,\n",
-       "     87.79580688476562,\n",
-       "     26.401588439941406,\n",
-       "     362.6590576171875,\n",
-       "     101.25609588623047,\n",
-       "     23.456106185913086,\n",
-       "     21.45635223388672,\n",
-       "     74.17300415039062,\n",
-       "     95.09648895263672,\n",
-       "     26.410736083984375,\n",
-       "     20095.244140625,\n",
-       "     230.7347869873047,\n",
-       "     28.685497283935547,\n",
-       "     63.63335037231445,\n",
-       "     77.13699340820312,\n",
-       "     26.481613159179688,\n",
-       "     47.524681091308594,\n",
-       "     70.77971649169922,\n",
-       "     1843.601806640625,\n",
-       "     25.848678588867188,\n",
-       "     10.336939811706543,\n",
-       "     705.9268798828125,\n",
-       "     75.44247436523438,\n",
-       "     39.02870178222656,\n",
-       "     302.1763916015625,\n",
-       "     8.006257057189941,\n",
-       "     73.46619415283203,\n",
-       "     33.51382064819336,\n",
-       "     10439.8505859375,\n",
-       "     13.362417221069336,\n",
-       "     162.15960693359375,\n",
-       "     22.18136978149414,\n",
-       "     17.125961303710938,\n",
-       "     7.7348737716674805,\n",
-       "     4586.9482421875,\n",
-       "     20.210079193115234,\n",
-       "     28.537137985229492,\n",
-       "     36466.9921875,\n",
-       "     22.20534324645996,\n",
-       "     80.39472961425781,\n",
-       "     87.31310272216797,\n",
-       "     19.035451889038086,\n",
-       "     26.727052688598633,\n",
-       "     82.311279296875,\n",
-       "     30.64400291442871,\n",
-       "     37.439701080322266,\n",
-       "     66.1491928100586,\n",
-       "     35.504981994628906,\n",
-       "     28.596227645874023,\n",
-       "     28.70524787902832,\n",
-       "     18.56167984008789,\n",
-       "     94.56891632080078,\n",
-       "     199.69964599609375,\n",
-       "     93.15608978271484,\n",
-       "     46.64133071899414,\n",
-       "     26.3082275390625,\n",
-       "     26.84583282470703,\n",
-       "     85.1803970336914,\n",
-       "     126.94952392578125,\n",
-       "     7.7427873611450195,\n",
-       "     53.60639953613281,\n",
-       "     42.93661117553711,\n",
-       "     30.18895721435547,\n",
-       "     20.523786544799805,\n",
-       "     15.289114952087402,\n",
-       "     39.26758575439453,\n",
-       "     2192.096435546875,\n",
-       "     28.176273345947266,\n",
-       "     25.65544891357422,\n",
-       "     171.06246948242188,\n",
-       "     29.983619689941406,\n",
-       "     30.42803192138672,\n",
-       "     31.714704513549805,\n",
-       "     15044.09765625,\n",
-       "     22.15239143371582,\n",
-       "     67.68681335449219,\n",
-       "     100.11336517333984,\n",
-       "     40.42636489868164,\n",
-       "     29.605331420898438,\n",
-       "     48.155216217041016,\n",
-       "     14.396186828613281,\n",
-       "     29.013254165649414,\n",
-       "     26.361364364624023,\n",
-       "     19.960866928100586,\n",
-       "     68.8355941772461,\n",
-       "     29.29583740234375,\n",
-       "     32.82291793823242,\n",
-       "     31.780738830566406,\n",
-       "     16.08697509765625,\n",
-       "     34.93206787109375,\n",
-       "     27.36103630065918,\n",
-       "     50.44474792480469,\n",
-       "     59.522010803222656,\n",
-       "     312.6104736328125,\n",
-       "     29.054109573364258,\n",
-       "     34.75701904296875,\n",
-       "     8.09687614440918,\n",
-       "     54.09621047973633,\n",
-       "     61.44231414794922,\n",
-       "     271.42462158203125,\n",
-       "     35.14213180541992,\n",
-       "     111.99459075927734,\n",
-       "     8.44454288482666,\n",
-       "     123.31929779052734,\n",
-       "     126.59722137451172,\n",
-       "     36.5045166015625,\n",
-       "     35.1024169921875,\n",
-       "     30.776689529418945,\n",
-       "     42.19173049926758,\n",
-       "     23.56074333190918,\n",
-       "     16.27764320373535,\n",
-       "     21.946983337402344,\n",
-       "     2847.523681640625,\n",
-       "     6.010672092437744,\n",
-       "     7.208390712738037,\n",
-       "     57.01736831665039,\n",
-       "     143.33522033691406,\n",
-       "     18.823171615600586,\n",
-       "     75.49005126953125,\n",
-       "     28.074281692504883,\n",
-       "     50.36292266845703,\n",
-       "     22.38804054260254,\n",
-       "     10922.8642578125,\n",
-       "     77.86014556884766,\n",
-       "     206.0198211669922,\n",
-       "     26.313854217529297,\n",
-       "     28.7144832611084,\n",
-       "     683.16259765625,\n",
-       "     14.72204875946045,\n",
-       "     22.581785202026367,\n",
-       "     12.513693809509277,\n",
-       "     7.676373481750488,\n",
-       "     167.21697998046875,\n",
-       "     59.42802429199219,\n",
-       "     79.70228576660156,\n",
-       "     28.858816146850586,\n",
-       "     34.82012176513672,\n",
-       "     29.310733795166016,\n",
-       "     7.445798397064209,\n",
-       "     107.870361328125,\n",
-       "     24.9678897857666,\n",
-       "     8972.31640625,\n",
-       "     75.58406066894531,\n",
-       "     33.64850997924805,\n",
-       "     26.492366790771484,\n",
-       "     105.02246856689453,\n",
-       "     33.26601028442383,\n",
-       "     28.82748031616211,\n",
-       "     107.10002899169922,\n",
-       "     22.544139862060547,\n",
-       "     34.292964935302734,\n",
-       "     140.15126037597656,\n",
-       "     42.346309661865234,\n",
-       "     53.06807327270508,\n",
-       "     49.23423767089844,\n",
-       "     95.54383087158203,\n",
-       "     75.17684936523438,\n",
-       "     37.09901809692383,\n",
-       "     37.3985481262207,\n",
-       "     239.65248107910156,\n",
-       "     19.611927032470703,\n",
-       "     50.67652130126953,\n",
-       "     29.766639709472656,\n",
-       "     79.36975860595703,\n",
-       "     576.424560546875,\n",
-       "     49.84981155395508,\n",
-       "     157.46791076660156,\n",
-       "     23.33124351501465,\n",
-       "     48.718997955322266,\n",
-       "     16.699039459228516,\n",
-       "     53.90824508666992,\n",
-       "     30.789085388183594,\n",
-       "     157.50238037109375,\n",
-       "     33.97496795654297,\n",
-       "     42.18190383911133,\n",
-       "     9.393257141113281,\n",
-       "     20.298938751220703,\n",
-       "     59.12922286987305,\n",
-       "     28.1489315032959,\n",
-       "     41.633888244628906,\n",
-       "     43.42710876464844,\n",
-       "     24.689950942993164,\n",
-       "     27.106510162353516,\n",
-       "     24.369211196899414,\n",
-       "     30.363527297973633,\n",
-       "     25.330059051513672,\n",
-       "     12.639852523803711,\n",
-       "     25.034690856933594,\n",
-       "     42.8533821105957,\n",
-       "     180.43011474609375,\n",
-       "     60.7864875793457,\n",
-       "     69.09495544433594,\n",
-       "     32.384464263916016,\n",
-       "     32.742679595947266,\n",
-       "     254.2848358154297,\n",
-       "     25.241365432739258,\n",
-       "     102.80842590332031,\n",
-       "     111.0848388671875,\n",
-       "     235.91416931152344,\n",
-       "     45.50685501098633,\n",
-       "     23.011512756347656,\n",
-       "     687.4073486328125,\n",
-       "     43.0496940612793,\n",
-       "     25.37106704711914,\n",
-       "     86.02627563476562,\n",
-       "     22.015275955200195,\n",
-       "     44.18194580078125,\n",
-       "     44.794288635253906,\n",
-       "     46.876468658447266,\n",
-       "     25.577377319335938,\n",
-       "     81.19080352783203,\n",
-       "     36.699668884277344,\n",
-       "     1552.510498046875,\n",
-       "     309.1971740722656,\n",
-       "     29.970518112182617,\n",
-       "     57.91835403442383,\n",
-       "     62.551612854003906,\n",
-       "     25.855674743652344,\n",
-       "     29.283212661743164,\n",
-       "     28.56865692138672,\n",
-       "     38.86330032348633,\n",
-       "     48.388038635253906,\n",
-       "     ...],\n",
-       "    'total_households': 23140266.80052776,\n",
-       "    'is_male': [True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     ...],\n",
-       "    'age': [34,\n",
-       "     33,\n",
-       "     2,\n",
-       "     20,\n",
-       "     19,\n",
-       "     19,\n",
-       "     48,\n",
-       "     42,\n",
-       "     18,\n",
-       "     80,\n",
-       "     80,\n",
-       "     58,\n",
-       "     27,\n",
-       "     48,\n",
-       "     14,\n",
-       "     9,\n",
-       "     30,\n",
-       "     26,\n",
-       "     78,\n",
-       "     80,\n",
-       "     77,\n",
-       "     56,\n",
-       "     62,\n",
-       "     39,\n",
-       "     46,\n",
-       "     13,\n",
-       "     11,\n",
-       "     49,\n",
-       "     55,\n",
-       "     16,\n",
-       "     13,\n",
-       "     18,\n",
-       "     66,\n",
-       "     34,\n",
-       "     67,\n",
-       "     54,\n",
-       "     71,\n",
-       "     68,\n",
-       "     71,\n",
-       "     71,\n",
-       "     80,\n",
-       "     63,\n",
-       "     61,\n",
-       "     45,\n",
-       "     51,\n",
-       "     10,\n",
-       "     7,\n",
-       "     55,\n",
-       "     61,\n",
-       "     17,\n",
-       "     39,\n",
-       "     40,\n",
-       "     8,\n",
-       "     6,\n",
-       "     2,\n",
-       "     50,\n",
-       "     74,\n",
-       "     76,\n",
-       "     45,\n",
-       "     38,\n",
-       "     16,\n",
-       "     13,\n",
-       "     80,\n",
-       "     39,\n",
-       "     37,\n",
-       "     60,\n",
-       "     60,\n",
-       "     43,\n",
-       "     15,\n",
-       "     69,\n",
-       "     65,\n",
-       "     48,\n",
-       "     56,\n",
-       "     44,\n",
-       "     56,\n",
-       "     60,\n",
-       "     69,\n",
-       "     67,\n",
-       "     40,\n",
-       "     40,\n",
-       "     11,\n",
-       "     5,\n",
-       "     75,\n",
-       "     74,\n",
-       "     40,\n",
-       "     45,\n",
-       "     11,\n",
-       "     8,\n",
-       "     44,\n",
-       "     46,\n",
-       "     14,\n",
-       "     8,\n",
-       "     62,\n",
-       "     61,\n",
-       "     75,\n",
-       "     78,\n",
-       "     42,\n",
-       "     35,\n",
-       "     5,\n",
-       "     51,\n",
-       "     68,\n",
-       "     64,\n",
-       "     23,\n",
-       "     23,\n",
-       "     47,\n",
-       "     47,\n",
-       "     11,\n",
-       "     8,\n",
-       "     80,\n",
-       "     58,\n",
-       "     54,\n",
-       "     60,\n",
-       "     35,\n",
-       "     80,\n",
-       "     77,\n",
-       "     70,\n",
-       "     74,\n",
-       "     80,\n",
-       "     80,\n",
-       "     48,\n",
-       "     35,\n",
-       "     41,\n",
-       "     71,\n",
-       "     43,\n",
-       "     75,\n",
-       "     74,\n",
-       "     43,\n",
-       "     45,\n",
-       "     19,\n",
-       "     13,\n",
-       "     11,\n",
-       "     6,\n",
-       "     80,\n",
-       "     27,\n",
-       "     43,\n",
-       "     53,\n",
-       "     18,\n",
-       "     12,\n",
-       "     79,\n",
-       "     48,\n",
-       "     1,\n",
-       "     61,\n",
-       "     57,\n",
-       "     74,\n",
-       "     35,\n",
-       "     10,\n",
-       "     9,\n",
-       "     2,\n",
-       "     30,\n",
-       "     34,\n",
-       "     80,\n",
-       "     70,\n",
-       "     63,\n",
-       "     34,\n",
-       "     40,\n",
-       "     45,\n",
-       "     19,\n",
-       "     48,\n",
-       "     18,\n",
-       "     40,\n",
-       "     15,\n",
-       "     2,\n",
-       "     48,\n",
-       "     50,\n",
-       "     21,\n",
-       "     19,\n",
-       "     80,\n",
-       "     80,\n",
-       "     46,\n",
-       "     45,\n",
-       "     11,\n",
-       "     8,\n",
-       "     7,\n",
-       "     63,\n",
-       "     59,\n",
-       "     55,\n",
-       "     50,\n",
-       "     15,\n",
-       "     15,\n",
-       "     17,\n",
-       "     70,\n",
-       "     70,\n",
-       "     52,\n",
-       "     71,\n",
-       "     34,\n",
-       "     42,\n",
-       "     8,\n",
-       "     7,\n",
-       "     2,\n",
-       "     78,\n",
-       "     73,\n",
-       "     39,\n",
-       "     73,\n",
-       "     35,\n",
-       "     13,\n",
-       "     9,\n",
-       "     3,\n",
-       "     79,\n",
-       "     17,\n",
-       "     16,\n",
-       "     38,\n",
-       "     42,\n",
-       "     7,\n",
-       "     5,\n",
-       "     59,\n",
-       "     57,\n",
-       "     80,\n",
-       "     78,\n",
-       "     70,\n",
-       "     69,\n",
-       "     44,\n",
-       "     40,\n",
-       "     27,\n",
-       "     31,\n",
-       "     32,\n",
-       "     41,\n",
-       "     43,\n",
-       "     32,\n",
-       "     61,\n",
-       "     59,\n",
-       "     58,\n",
-       "     56,\n",
-       "     80,\n",
-       "     26,\n",
-       "     69,\n",
-       "     72,\n",
-       "     34,\n",
-       "     60,\n",
-       "     61,\n",
-       "     68,\n",
-       "     32,\n",
-       "     35,\n",
-       "     64,\n",
-       "     28,\n",
-       "     32,\n",
-       "     30,\n",
-       "     80,\n",
-       "     80,\n",
-       "     68,\n",
-       "     59,\n",
-       "     57,\n",
-       "     69,\n",
-       "     62,\n",
-       "     56,\n",
-       "     80,\n",
-       "     50,\n",
-       "     80,\n",
-       "     66,\n",
-       "     53,\n",
-       "     17,\n",
-       "     21,\n",
-       "     78,\n",
-       "     75,\n",
-       "     43,\n",
-       "     47,\n",
-       "     7,\n",
-       "     9,\n",
-       "     65,\n",
-       "     53,\n",
-       "     62,\n",
-       "     55,\n",
-       "     33,\n",
-       "     34,\n",
-       "     42,\n",
-       "     46,\n",
-       "     12,\n",
-       "     9,\n",
-       "     45,\n",
-       "     40,\n",
-       "     5,\n",
-       "     8,\n",
-       "     55,\n",
-       "     40,\n",
-       "     40,\n",
-       "     6,\n",
-       "     0,\n",
-       "     50,\n",
-       "     29,\n",
-       "     6,\n",
-       "     3,\n",
-       "     57,\n",
-       "     27,\n",
-       "     69,\n",
-       "     65,\n",
-       "     51,\n",
-       "     45,\n",
-       "     15,\n",
-       "     12,\n",
-       "     42,\n",
-       "     43,\n",
-       "     4,\n",
-       "     52,\n",
-       "     28,\n",
-       "     29,\n",
-       "     25,\n",
-       "     63,\n",
-       "     80,\n",
-       "     34,\n",
-       "     28,\n",
-       "     5,\n",
-       "     30,\n",
-       "     32,\n",
-       "     2,\n",
-       "     0,\n",
-       "     53,\n",
-       "     54,\n",
-       "     78,\n",
-       "     79,\n",
-       "     58,\n",
-       "     72,\n",
-       "     74,\n",
-       "     74,\n",
-       "     80,\n",
-       "     71,\n",
-       "     50,\n",
-       "     15,\n",
-       "     11,\n",
-       "     80,\n",
-       "     71,\n",
-       "     70,\n",
-       "     80,\n",
-       "     75,\n",
-       "     72,\n",
-       "     52,\n",
-       "     63,\n",
-       "     53,\n",
-       "     80,\n",
-       "     21,\n",
-       "     75,\n",
-       "     75,\n",
-       "     69,\n",
-       "     76,\n",
-       "     15,\n",
-       "     13,\n",
-       "     41,\n",
-       "     42,\n",
-       "     14,\n",
-       "     12,\n",
-       "     38,\n",
-       "     52,\n",
-       "     5,\n",
-       "     21,\n",
-       "     17,\n",
-       "     35,\n",
-       "     35,\n",
-       "     1,\n",
-       "     36,\n",
-       "     29,\n",
-       "     0,\n",
-       "     50,\n",
-       "     50,\n",
-       "     31,\n",
-       "     33,\n",
-       "     22,\n",
-       "     39,\n",
-       "     43,\n",
-       "     10,\n",
-       "     8,\n",
-       "     13,\n",
-       "     27,\n",
-       "     30,\n",
-       "     50,\n",
-       "     53,\n",
-       "     15,\n",
-       "     16,\n",
-       "     49,\n",
-       "     44,\n",
-       "     43,\n",
-       "     12,\n",
-       "     8,\n",
-       "     80,\n",
-       "     78,\n",
-       "     77,\n",
-       "     65,\n",
-       "     54,\n",
-       "     37,\n",
-       "     43,\n",
-       "     7,\n",
-       "     5,\n",
-       "     2,\n",
-       "     80,\n",
-       "     62,\n",
-       "     69,\n",
-       "     53,\n",
-       "     65,\n",
-       "     32,\n",
-       "     23,\n",
-       "     58,\n",
-       "     57,\n",
-       "     18,\n",
-       "     47,\n",
-       "     78,\n",
-       "     76,\n",
-       "     39,\n",
-       "     14,\n",
-       "     12,\n",
-       "     36,\n",
-       "     4,\n",
-       "     48,\n",
-       "     56,\n",
-       "     58,\n",
-       "     61,\n",
-       "     32,\n",
-       "     3,\n",
-       "     70,\n",
-       "     60,\n",
-       "     60,\n",
-       "     33,\n",
-       "     72,\n",
-       "     74,\n",
-       "     67,\n",
-       "     60,\n",
-       "     56,\n",
-       "     38,\n",
-       "     41,\n",
-       "     47,\n",
-       "     15,\n",
-       "     12,\n",
-       "     2,\n",
-       "     51,\n",
-       "     80,\n",
-       "     80,\n",
-       "     72,\n",
-       "     25,\n",
-       "     76,\n",
-       "     51,\n",
-       "     15,\n",
-       "     19,\n",
-       "     54,\n",
-       "     68,\n",
-       "     39,\n",
-       "     40,\n",
-       "     12,\n",
-       "     63,\n",
-       "     57,\n",
-       "     76,\n",
-       "     69,\n",
-       "     74,\n",
-       "     76,\n",
-       "     46,\n",
-       "     43,\n",
-       "     11,\n",
-       "     9,\n",
-       "     33,\n",
-       "     27,\n",
-       "     1,\n",
-       "     41,\n",
-       "     70,\n",
-       "     40,\n",
-       "     51,\n",
-       "     49,\n",
-       "     16,\n",
-       "     13,\n",
-       "     9,\n",
-       "     66,\n",
-       "     61,\n",
-       "     52,\n",
-       "     68,\n",
-       "     67,\n",
-       "     37,\n",
-       "     34,\n",
-       "     13,\n",
-       "     77,\n",
-       "     74,\n",
-       "     56,\n",
-       "     56,\n",
-       "     23,\n",
-       "     23,\n",
-       "     72,\n",
-       "     73,\n",
-       "     30,\n",
-       "     30,\n",
-       "     0,\n",
-       "     65,\n",
-       "     76,\n",
-       "     72,\n",
-       "     69,\n",
-       "     77,\n",
-       "     39,\n",
-       "     48,\n",
-       "     14,\n",
-       "     11,\n",
-       "     27,\n",
-       "     33,\n",
-       "     43,\n",
-       "     40,\n",
-       "     7,\n",
-       "     12,\n",
-       "     43,\n",
-       "     77,\n",
-       "     75,\n",
-       "     77,\n",
-       "     59,\n",
-       "     62,\n",
-       "     27,\n",
-       "     0,\n",
-       "     69,\n",
-       "     74,\n",
-       "     56,\n",
-       "     77,\n",
-       "     78,\n",
-       "     74,\n",
-       "     80,\n",
-       "     58,\n",
-       "     58,\n",
-       "     80,\n",
-       "     80,\n",
-       "     51,\n",
-       "     46,\n",
-       "     38,\n",
-       "     7,\n",
-       "     67,\n",
-       "     79,\n",
-       "     61,\n",
-       "     30,\n",
-       "     31,\n",
-       "     53,\n",
-       "     62,\n",
-       "     62,\n",
-       "     62,\n",
-       "     61,\n",
-       "     80,\n",
-       "     80,\n",
-       "     63,\n",
-       "     71,\n",
-       "     49,\n",
-       "     44,\n",
-       "     8,\n",
-       "     1,\n",
-       "     68,\n",
-       "     65,\n",
-       "     62,\n",
-       "     47,\n",
-       "     12,\n",
-       "     9,\n",
-       "     66,\n",
-       "     57,\n",
-       "     60,\n",
-       "     31,\n",
-       "     71,\n",
-       "     71,\n",
-       "     38,\n",
-       "     40,\n",
-       "     13,\n",
-       "     10,\n",
-       "     51,\n",
-       "     37,\n",
-       "     32,\n",
-       "     7,\n",
-       "     5,\n",
-       "     25,\n",
-       "     19,\n",
-       "     67,\n",
-       "     69,\n",
-       "     74,\n",
-       "     69,\n",
-       "     22,\n",
-       "     37,\n",
-       "     45,\n",
-       "     4,\n",
-       "     4,\n",
-       "     53,\n",
-       "     56,\n",
-       "     17,\n",
-       "     52,\n",
-       "     56,\n",
-       "     40,\n",
-       "     42,\n",
-       "     14,\n",
-       "     37,\n",
-       "     72,\n",
-       "     80,\n",
-       "     73,\n",
-       "     34,\n",
-       "     37,\n",
-       "     4,\n",
-       "     2,\n",
-       "     37,\n",
-       "     16,\n",
-       "     12,\n",
-       "     66,\n",
-       "     62,\n",
-       "     65,\n",
-       "     76,\n",
-       "     25,\n",
-       "     25,\n",
-       "     26,\n",
-       "     7,\n",
-       "     6,\n",
-       "     4,\n",
-       "     32,\n",
-       "     34,\n",
-       "     4,\n",
-       "     0,\n",
-       "     37,\n",
-       "     38,\n",
-       "     10,\n",
-       "     5,\n",
-       "     46,\n",
-       "     54,\n",
-       "     14,\n",
-       "     21,\n",
-       "     41,\n",
-       "     35,\n",
-       "     13,\n",
-       "     4,\n",
-       "     11,\n",
-       "     77,\n",
-       "     70,\n",
-       "     50,\n",
-       "     12,\n",
-       "     42,\n",
-       "     72,\n",
-       "     74,\n",
-       "     58,\n",
-       "     25,\n",
-       "     27,\n",
-       "     30,\n",
-       "     30,\n",
-       "     35,\n",
-       "     32,\n",
-       "     1,\n",
-       "     55,\n",
-       "     32,\n",
-       "     7,\n",
-       "     4,\n",
-       "     76,\n",
-       "     47,\n",
-       "     50,\n",
-       "     17,\n",
-       "     69,\n",
-       "     69,\n",
-       "     65,\n",
-       "     28,\n",
-       "     50,\n",
-       "     29,\n",
-       "     27,\n",
-       "     9,\n",
-       "     66,\n",
-       "     50,\n",
-       "     41,\n",
-       "     14,\n",
-       "     39,\n",
-       "     30,\n",
-       "     6,\n",
-       "     2,\n",
-       "     41,\n",
-       "     40,\n",
-       "     6,\n",
-       "     2,\n",
-       "     46,\n",
-       "     48,\n",
-       "     47,\n",
-       "     47,\n",
-       "     20,\n",
-       "     56,\n",
-       "     54,\n",
-       "     43,\n",
-       "     42,\n",
-       "     39,\n",
-       "     12,\n",
-       "     10,\n",
-       "     51,\n",
-       "     56,\n",
-       "     57,\n",
-       "     21,\n",
-       "     69,\n",
-       "     79,\n",
-       "     72,\n",
-       "     67,\n",
-       "     45,\n",
-       "     17,\n",
-       "     14,\n",
-       "     18,\n",
-       "     34,\n",
-       "     38,\n",
-       "     9,\n",
-       "     6,\n",
-       "     62,\n",
-       "     58,\n",
-       "     55,\n",
-       "     40,\n",
-       "     8,\n",
-       "     73,\n",
-       "     67,\n",
-       "     70,\n",
-       "     50,\n",
-       "     40,\n",
-       "     14,\n",
-       "     11,\n",
-       "     7,\n",
-       "     20,\n",
-       "     80,\n",
-       "     45,\n",
-       "     78,\n",
-       "     79,\n",
-       "     51,\n",
-       "     35,\n",
-       "     79,\n",
-       "     51,\n",
-       "     47,\n",
-       "     32,\n",
-       "     32,\n",
-       "     0,\n",
-       "     39,\n",
-       "     38,\n",
-       "     4,\n",
-       "     4,\n",
-       "     56,\n",
-       "     57,\n",
-       "     25,\n",
-       "     70,\n",
-       "     80,\n",
-       "     27,\n",
-       "     73,\n",
-       "     74,\n",
-       "     21,\n",
-       "     20,\n",
-       "     62,\n",
-       "     63,\n",
-       "     56,\n",
-       "     60,\n",
-       "     20,\n",
-       "     18,\n",
-       "     49,\n",
-       "     64,\n",
-       "     24,\n",
-       "     75,\n",
-       "     34,\n",
-       "     6,\n",
-       "     30,\n",
-       "     29,\n",
-       "     26,\n",
-       "     26,\n",
-       "     1,\n",
-       "     73,\n",
-       "     64,\n",
-       "     70,\n",
-       "     69,\n",
-       "     29,\n",
-       "     31,\n",
-       "     31,\n",
-       "     52,\n",
-       "     54,\n",
-       "     69,\n",
-       "     34,\n",
-       "     61,\n",
-       "     73,\n",
-       "     69,\n",
-       "     73,\n",
-       "     62,\n",
-       "     58,\n",
-       "     74,\n",
-       "     75,\n",
-       "     54,\n",
-       "     55,\n",
-       "     54,\n",
-       "     24,\n",
-       "     1,\n",
-       "     71,\n",
-       "     69,\n",
-       "     57,\n",
-       "     63,\n",
-       "     18,\n",
-       "     33,\n",
-       "     34,\n",
-       "     64,\n",
-       "     63,\n",
-       "     69,\n",
-       "     71,\n",
-       "     74,\n",
-       "     74,\n",
-       "     73,\n",
-       "     74,\n",
-       "     45,\n",
-       "     67,\n",
-       "     63,\n",
-       "     68,\n",
-       "     80,\n",
-       "     65,\n",
-       "     42,\n",
-       "     28,\n",
-       "     75,\n",
-       "     77,\n",
-       "     31,\n",
-       "     37,\n",
-       "     8,\n",
-       "     4,\n",
-       "     1,\n",
-       "     54,\n",
-       "     54,\n",
-       "     80,\n",
-       "     45,\n",
-       "     44,\n",
-       "     15,\n",
-       "     9,\n",
-       "     75,\n",
-       "     76,\n",
-       "     74,\n",
-       "     57,\n",
-       "     46,\n",
-       "     57,\n",
-       "     17,\n",
-       "     16,\n",
-       "     11,\n",
-       "     80,\n",
-       "     80,\n",
-       "     65,\n",
-       "     80,\n",
-       "     80,\n",
-       "     80,\n",
-       "     71,\n",
-       "     65,\n",
-       "     68,\n",
-       "     25,\n",
-       "     78,\n",
-       "     78,\n",
-       "     60,\n",
-       "     72,\n",
-       "     53,\n",
-       "     57,\n",
-       "     21,\n",
-       "     19,\n",
-       "     68,\n",
-       "     63,\n",
-       "     58,\n",
-       "     50,\n",
-       "     16,\n",
-       "     59,\n",
-       "     64,\n",
-       "     20,\n",
-       "     40,\n",
-       "     38,\n",
-       "     7,\n",
-       "     5,\n",
-       "     45,\n",
-       "     46,\n",
-       "     17,\n",
-       "     20,\n",
-       "     73,\n",
-       "     45,\n",
-       "     57,\n",
-       "     9,\n",
-       "     29,\n",
-       "     28,\n",
-       "     46,\n",
-       "     46,\n",
-       "     14,\n",
-       "     10,\n",
-       "     25,\n",
-       "     61,\n",
-       "     29,\n",
-       "     29,\n",
-       "     6,\n",
-       "     47,\n",
-       "     43,\n",
-       "     11,\n",
-       "     9,\n",
-       "     8,\n",
-       "     5,\n",
-       "     40,\n",
-       "     36,\n",
-       "     9,\n",
-       "     38,\n",
-       "     9,\n",
-       "     7,\n",
-       "     64,\n",
-       "     63,\n",
-       "     23,\n",
-       "     23,\n",
-       "     4,\n",
-       "     3,\n",
-       "     58,\n",
-       "     57,\n",
-       "     52,\n",
-       "     17,\n",
-       "     14,\n",
-       "     42,\n",
-       "     45,\n",
-       "     14,\n",
-       "     13,\n",
-       "     11,\n",
-       "     10,\n",
-       "     42,\n",
-       "     7,\n",
-       "     9,\n",
-       "     23,\n",
-       "     26,\n",
-       "     60,\n",
-       "     36,\n",
-       "     63,\n",
-       "     51,\n",
-       "     46,\n",
-       "     31,\n",
-       "     27,\n",
-       "     28,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     42,\n",
-       "     42,\n",
-       "     7,\n",
-       "     56,\n",
-       "     56,\n",
-       "     79,\n",
-       "     80,\n",
-       "     79,\n",
-       "     80,\n",
-       "     71,\n",
-       "     73,\n",
-       "     29,\n",
-       "     80,\n",
-       "     60,\n",
-       "     43,\n",
-       "     45,\n",
-       "     73,\n",
-       "     33,\n",
-       "     38,\n",
-       "     41,\n",
-       "     41,\n",
-       "     50,\n",
-       "     12,\n",
-       "     6,\n",
-       "     4,\n",
-       "     74,\n",
-       "     73,\n",
-       "     53,\n",
-       "     58,\n",
-       "     40,\n",
-       "     40,\n",
-       "     28,\n",
-       "     28,\n",
-       "     64,\n",
-       "     58,\n",
-       "     74,\n",
-       "     73,\n",
-       "     74,\n",
-       "     21,\n",
-       "     77,\n",
-       "     76,\n",
-       "     27,\n",
-       "     8,\n",
-       "     4,\n",
-       "     3,\n",
-       "     29,\n",
-       "     27,\n",
-       "     6,\n",
-       "     5,\n",
-       "     72,\n",
-       "     70,\n",
-       "     80,\n",
-       "     38,\n",
-       "     40,\n",
-       "     2,\n",
-       "     0,\n",
-       "     67,\n",
-       "     69,\n",
-       "     51,\n",
-       "     51,\n",
-       "     15,\n",
-       "     12,\n",
-       "     71,\n",
-       "     75,\n",
-       "     55,\n",
-       "     27,\n",
-       "     45,\n",
-       "     49,\n",
-       "     14,\n",
-       "     11,\n",
-       "     47,\n",
-       "     46,\n",
-       "     17,\n",
-       "     13,\n",
-       "     66,\n",
-       "     29,\n",
-       "     25,\n",
-       "     73,\n",
-       "     64,\n",
-       "     80,\n",
-       "     76,\n",
-       "     72,\n",
-       "     37,\n",
-       "     16,\n",
-       "     8,\n",
-       "     42,\n",
-       "     44,\n",
-       "     6,\n",
-       "     26,\n",
-       "     24,\n",
-       "     56,\n",
-       "     27,\n",
-       "     60,\n",
-       "     58,\n",
-       "     71,\n",
-       "     37,\n",
-       "     35,\n",
-       "     14,\n",
-       "     68,\n",
-       "     67,\n",
-       "     62,\n",
-       "     ...],\n",
-       "    'race': None},\n",
-       "   'inequality': {'gini': 0.3477095374202072,\n",
-       "    'top_10_percent_share': 0.2999163898629839,\n",
-       "    'top_1_percent_share': 0.12430336324184335},\n",
-       "   'labor_supply': {'substitution_lsr': 0,\n",
-       "    'income_lsr': 0,\n",
-       "    'income_lsr_hh': [0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     ...],\n",
-       "    'substitution_lsr_hh': [0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     ...],\n",
-       "    'weekly_hours': 0,\n",
-       "    'weekly_hours_income_effect': 0,\n",
-       "    'weekly_hours_substitution_effect': 0,\n",
-       "    'total_earnings': 1340946114730.9246,\n",
-       "    'total_workers': 32697735.717292428},\n",
-       "   'income_distribution': {0: 28638.17159663886,\n",
-       "    5000: 334671.02372761816,\n",
-       "    10000: 892901.8871991932,\n",
-       "    15000: 1192876.201390043,\n",
-       "    20000: 1372329.1174580976,\n",
-       "    25000: 1579255.1622462124,\n",
-       "    30000: 1946388.5832830966,\n",
-       "    35000: 1401869.1041857302,\n",
-       "    40000: 1468807.3108290136,\n",
-       "    45000: 1215675.881689474,\n",
-       "    50000: 1354563.5807273462,\n",
-       "    55000: 964829.5402759314,\n",
-       "    60000: 922988.8669875562,\n",
-       "    65000: 957018.2603768259,\n",
-       "    70000: 1079843.9408770353,\n",
-       "    75000: 637419.0076136664,\n",
-       "    80000: 498186.0265044421,\n",
-       "    85000: 831455.4363349453,\n",
-       "    90000: 516631.74205611646,\n",
-       "    95000: 517338.60617863387,\n",
-       "    100000: 459757.5646894872,\n",
-       "    105000: 368505.1371051371,\n",
-       "    110000: 229580.181141451,\n",
-       "    115000: 460770.2185702473}},\n",
-       "  'gov': {'budget_window': {'total_tax': [649724373822.0885],\n",
-       "    'total_spending': [299987301207.83545],\n",
-       "    'total_state_tax': [0],\n",
-       "    'total_budget': [349737072614.25305],\n",
-       "    'total_federal_budget': [349737072614.25305]},\n",
-       "   'programs': {'income_tax': 328945525969.9741,\n",
-       "    'national_insurance': 53168761056.25772,\n",
-       "    'vat': 214871983017.21628,\n",
-       "    'council_tax': 45077685919.83074,\n",
-       "    'fuel_duty': 25313698252.372284,\n",
-       "    'tax_credits': -81931249.11630942,\n",
-       "    'universal_credit': -71486805495.25237,\n",
-       "    'child_benefit': -14596018214.875364,\n",
-       "    'state_pension': -126747036451.91475,\n",
-       "    'pension_credit': -6659655701.446462,\n",
-       "    'ni_employer': 125551554850.68323},\n",
-       "   'balance': {'total_tax': 649724373822.0885,\n",
-       "    'total_spending': 299987301207.83545,\n",
-       "    'total_state_tax': 0},\n",
-       "   'local_areas': {'parliamentary_constituencies': {},\n",
-       "    'local_authorities': {}}}},\n",
-       " 'reform': {'household': {'finance': {'total_net_income': 1384785487189.1448,\n",
-       "    'total_market_income': 1733465565685.8093,\n",
-       "    'total_tax': 654872761112.2869,\n",
-       "    'total_benefits': 306192679687.824,\n",
-       "    'employment_income_hh': [60994.564453125,\n",
-       "     0.0,\n",
-       "     18010.205078125,\n",
-       "     0.0,\n",
-       "     373711.78125,\n",
-       "     23473.30078125,\n",
-       "     69819.56640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     48027.21484375,\n",
-       "     138378.40625,\n",
-       "     24073.640625,\n",
-       "     67538.271484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     93292.8671875,\n",
-       "     0.0,\n",
-       "     99296.26953125,\n",
-       "     23713.4375,\n",
-       "     86509.02734375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     22032.484375,\n",
-       "     0.0,\n",
-       "     34519.5625,\n",
-       "     29056.46484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     103438.609375,\n",
-       "     0.0,\n",
-       "     50848.8125,\n",
-       "     105960.0390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     8284.6943359375,\n",
-       "     24493.87890625,\n",
-       "     27615.6484375,\n",
-       "     0.0,\n",
-       "     40402.89453125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     65497.109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     54510.888671875,\n",
-       "     27315.478515625,\n",
-       "     0.0,\n",
-       "     75162.59375,\n",
-       "     0.0,\n",
-       "     35780.2734375,\n",
-       "     116045.74609375,\n",
-       "     0.0,\n",
-       "     31517.85546875,\n",
-       "     71980.78515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     54931.125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     65977.388671875,\n",
-       "     65196.94140625,\n",
-       "     10505.953125,\n",
-       "     0.0,\n",
-       "     97195.0732421875,\n",
-       "     0.0,\n",
-       "     9125.1708984375,\n",
-       "     0.0,\n",
-       "     220444.91796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     453857.169921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     16869.55859375,\n",
-       "     0.0,\n",
-       "     555614.8359375,\n",
-       "     130033.6708984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     85728.58203125,\n",
-       "     50968.8828125,\n",
-       "     37401.1953125,\n",
-       "     95814.296875,\n",
-       "     38001.53125,\n",
-       "     34339.45703125,\n",
-       "     97675.34765625,\n",
-       "     0.0,\n",
-       "     35960.37890625,\n",
-       "     0.0,\n",
-       "     33979.25390625,\n",
-       "     75042.5234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     50968.880859375,\n",
-       "     46046.09375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     45025.5146484375,\n",
-       "     0.0,\n",
-       "     66817.86279296875,\n",
-       "     0.0,\n",
-       "     50608.671875,\n",
-       "     0.0,\n",
-       "     4802.7216796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     157109.03125,\n",
-       "     571824.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27015.30859375,\n",
-       "     218343.734375,\n",
-       "     54030.6171875,\n",
-       "     0.0,\n",
-       "     109021.76953125,\n",
-       "     69099.15625,\n",
-       "     0.0,\n",
-       "     53610.37890625,\n",
-       "     0.0,\n",
-       "     44965.48046875,\n",
-       "     126611.73828125,\n",
-       "     454817.734375,\n",
-       "     25574.4921875,\n",
-       "     101337.4296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     52950.00390625,\n",
-       "     0.0,\n",
-       "     9425.3408203125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     88069.90625,\n",
-       "     73121.4326171875,\n",
-       "     118267.01953125,\n",
-       "     60754.427734375,\n",
-       "     59193.533203125,\n",
-       "     77623.98828125,\n",
-       "     0.0,\n",
-       "     20291.49609375,\n",
-       "     70059.69921875,\n",
-       "     82306.63330078125,\n",
-       "     100857.140625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29896.94140625,\n",
-       "     46046.09765625,\n",
-       "     0.0,\n",
-       "     13807.82421875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     12487.0751953125,\n",
-       "     76963.609375,\n",
-       "     36020.41015625,\n",
-       "     44905.4453125,\n",
-       "     44245.06640625,\n",
-       "     0.0,\n",
-       "     36680.78515625,\n",
-       "     0.0,\n",
-       "     160651.0390625,\n",
-       "     64596.603515625,\n",
-       "     11046.259765625,\n",
-       "     0.0,\n",
-       "     34519.5625,\n",
-       "     117546.60546875,\n",
-       "     0.0,\n",
-       "     34519.5625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     13267.5185546875,\n",
-       "     31097.62109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     16989.625,\n",
-       "     0.0,\n",
-       "     25874.66229248047,\n",
-       "     44905.4453125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     59493.7119140625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29536.73828125,\n",
-       "     39142.181640625,\n",
-       "     41423.47265625,\n",
-       "     0.0,\n",
-       "     51809.359375,\n",
-       "     118567.18359375,\n",
-       "     26354.93359375,\n",
-       "     9605.4423828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     187246.091796875,\n",
-       "     57632.65625,\n",
-       "     0.0,\n",
-       "     82967.0068359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     41423.474609375,\n",
-       "     0.0,\n",
-       "     3962.245361328125,\n",
-       "     21552.212890625,\n",
-       "     107460.89453125,\n",
-       "     46046.09375,\n",
-       "     38781.9765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     45745.92254638672,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27615.6484375,\n",
-       "     0.0,\n",
-       "     34519.5625,\n",
-       "     49047.79296875,\n",
-       "     0.0,\n",
-       "     13987.9267578125,\n",
-       "     79485.0390625,\n",
-       "     0.0,\n",
-       "     13807.82421875,\n",
-       "     13687.755859375,\n",
-       "     25394.388671875,\n",
-       "     0.0,\n",
-       "     8885.03515625,\n",
-       "     87409.53125,\n",
-       "     3301.87109375,\n",
-       "     50068.3720703125,\n",
-       "     22152.552734375,\n",
-       "     20051.365234375,\n",
-       "     14408.1640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     49528.06640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29956.974609375,\n",
-       "     284020.921875,\n",
-       "     31998.1328125,\n",
-       "     176079.765625,\n",
-       "     25094.220703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     36620.75,\n",
-       "     17950.171875,\n",
-       "     0.0,\n",
-       "     82186.572265625,\n",
-       "     0.0,\n",
-       "     69459.361328125,\n",
-       "     0.0,\n",
-       "     62675.517578125,\n",
-       "     55291.33203125,\n",
-       "     54690.9921875,\n",
-       "     120488.2578125,\n",
-       "     14468.19921875,\n",
-       "     25934.693359375,\n",
-       "     30077.04296875,\n",
-       "     0.0,\n",
-       "     25574.4921875,\n",
-       "     59553.748046875,\n",
-       "     81406.125,\n",
-       "     12427.0419921875,\n",
-       "     0.0,\n",
-       "     136157.15625,\n",
-       "     0.0,\n",
-       "     24673.982421875,\n",
-       "     55651.53515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     50608.677734375,\n",
-       "     67898.46875,\n",
-       "     23113.09765625,\n",
-       "     97975.51953125,\n",
-       "     5523.1298828125,\n",
-       "     79965.3203125,\n",
-       "     16209.18505859375,\n",
-       "     46526.36328125,\n",
-       "     21432.14453125,\n",
-       "     144381.8125,\n",
-       "     80925.8515625,\n",
-       "     42624.15234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     36020.412109375,\n",
-       "     59553.748046875,\n",
-       "     82726.88671875,\n",
-       "     0.0,\n",
-       "     18010.205078125,\n",
-       "     0.0,\n",
-       "     79785.21044921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     64476.53515625,\n",
-       "     0.0,\n",
-       "     72461.056640625,\n",
-       "     66517.6953125,\n",
-       "     158069.5625,\n",
-       "     119347.61328125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29956.974609375,\n",
-       "     0.0,\n",
-       "     69099.154296875,\n",
-       "     110762.75,\n",
-       "     116946.265625,\n",
-       "     11286.3955078125,\n",
-       "     0.0,\n",
-       "     46586.39453125,\n",
-       "     114064.63671875,\n",
-       "     47426.875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     40943.19921875,\n",
-       "     86328.921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     51389.12109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     22272.62109375,\n",
-       "     40402.89453125,\n",
-       "     0.0,\n",
-       "     80745.75390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44245.0703125,\n",
-       "     54090.650390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     49167.86328125,\n",
-       "     2401.36083984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     55711.568359375,\n",
-       "     0.0,\n",
-       "     18070.2392578125,\n",
-       "     87589.6328125,\n",
-       "     0.0,\n",
-       "     113284.18359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     33619.05078125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     34339.45703125,\n",
-       "     0.0,\n",
-       "     10866.1572265625,\n",
-       "     0.0,\n",
-       "     21852.3828125,\n",
-       "     252683.1875,\n",
-       "     0.0,\n",
-       "     45986.05859375,\n",
-       "     57872.80078125,\n",
-       "     0.0,\n",
-       "     49708.171875,\n",
-       "     83027.05078125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     47667.01171875,\n",
-       "     164193.03515625,\n",
-       "     0.0,\n",
-       "     35239.96875,\n",
-       "     0.0,\n",
-       "     57332.48828125,\n",
-       "     38001.53125,\n",
-       "     8224.660522460938,\n",
-       "     13567.6884765625,\n",
-       "     258866.703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     8704.9326171875,\n",
-       "     80925.859375,\n",
-       "     0.0,\n",
-       "     48027.21484375,\n",
-       "     0.0,\n",
-       "     26174.83203125,\n",
-       "     0.0,\n",
-       "     4802.7216796875,\n",
-       "     183463.966796875,\n",
-       "     11406.4638671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     89330.6171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     40342.859375,\n",
-       "     0.0,\n",
-       "     83927.55859375,\n",
-       "     226208.18359375,\n",
-       "     0.0,\n",
-       "     28756.298828125,\n",
-       "     114184.70703125,\n",
-       "     101937.765625,\n",
-       "     17229.763671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     13387.5849609375,\n",
-       "     0.0,\n",
-       "     9005.1025390625,\n",
-       "     69039.125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     68438.77270507812,\n",
-       "     0.0,\n",
-       "     84768.037109375,\n",
-       "     3121.76904296875,\n",
-       "     0.0,\n",
-       "     17349.83203125,\n",
-       "     186525.7001953125,\n",
-       "     28816.330078125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     22512.7578125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     21011.908203125,\n",
-       "     104639.2890625,\n",
-       "     55231.296875,\n",
-       "     28996.431640625,\n",
-       "     54811.060546875,\n",
-       "     0.0,\n",
-       "     54330.7880859375,\n",
-       "     0.0,\n",
-       "     11586.5654296875,\n",
-       "     10205.7822265625,\n",
-       "     38541.841796875,\n",
-       "     0.0,\n",
-       "     49468.03125,\n",
-       "     21852.3828125,\n",
-       "     61654.9365234375,\n",
-       "     4562.58544921875,\n",
-       "     28936.3984375,\n",
-       "     263729.44921875,\n",
-       "     32478.404296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     80985.89031982422,\n",
-       "     46046.09375,\n",
-       "     0.0,\n",
-       "     43584.69921875,\n",
-       "     17950.171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     80805.78125,\n",
-       "     60994.564453125,\n",
-       "     4982.82373046875,\n",
-       "     30797.451171875,\n",
-       "     24013.607421875,\n",
-       "     45025.515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     104159.015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     21432.14453125,\n",
-       "     63696.095703125,\n",
-       "     91311.7421875,\n",
-       "     0.0,\n",
-       "     68678.91796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     18130.2734375,\n",
-       "     36860.890625,\n",
-       "     207357.5,\n",
-       "     0.0,\n",
-       "     193609.71875,\n",
-       "     0.0,\n",
-       "     3301.87109375,\n",
-       "     21131.974609375,\n",
-       "     68618.8828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     129193.205078125,\n",
-       "     28756.296875,\n",
-       "     31757.998046875,\n",
-       "     0.0,\n",
-       "     5883.33366394043,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     115145.25,\n",
-       "     10926.19140625,\n",
-       "     0.0,\n",
-       "     8764.966796875,\n",
-       "     0.0,\n",
-       "     110042.3515625,\n",
-       "     60454.2578125,\n",
-       "     76963.607421875,\n",
-       "     22932.99609375,\n",
-       "     34519.5625,\n",
-       "     0.0,\n",
-       "     20831.8046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     62675.515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     43164.45703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     72521.09375,\n",
-       "     14708.3330078125,\n",
-       "     90531.29296875,\n",
-       "     74562.25390625,\n",
-       "     72641.1640625,\n",
-       "     0.0,\n",
-       "     29956.9765625,\n",
-       "     76963.6162109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     40342.859375,\n",
-       "     0.0,\n",
-       "     20471.599609375,\n",
-       "     0.0,\n",
-       "     64836.7431640625,\n",
-       "     0.0,\n",
-       "     22092.51953125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     33799.15234375,\n",
-       "     128472.796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     17830.103515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     38481.80712890625,\n",
-       "     45926.0244140625,\n",
-       "     265410.40625,\n",
-       "     0.0,\n",
-       "     79545.06640625,\n",
-       "     38001.5341796875,\n",
-       "     47907.1484375,\n",
-       "     0.0,\n",
-       "     110702.7265625,\n",
-       "     84768.03515625,\n",
-       "     20231.46484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     91431.8046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     30317.18359375,\n",
-       "     71980.7880859375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     31577.89453125,\n",
-       "     63395.923828125,\n",
-       "     28696.26171875,\n",
-       "     29896.94140625,\n",
-       "     49528.06640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     210839.4375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     58953.4072265625,\n",
-       "     78284.36328125,\n",
-       "     69459.35107421875,\n",
-       "     0.0,\n",
-       "     103918.8828125,\n",
-       "     0.0,\n",
-       "     58293.03125,\n",
-       "     387039.3046875,\n",
-       "     0.0,\n",
-       "     111303.0625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     24193.708984375,\n",
-       "     0.0,\n",
-       "     62135.208984375,\n",
-       "     63155.7890625,\n",
-       "     3361.905029296875,\n",
-       "     28756.29443359375,\n",
-       "     0.0,\n",
-       "     172597.8046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     52349.6630859375,\n",
-       "     23653.4033203125,\n",
-       "     48987.75390625,\n",
-       "     75282.66015625,\n",
-       "     20471.599609375,\n",
-       "     1200.680419921875,\n",
-       "     49227.896484375,\n",
-       "     81766.3359375,\n",
-       "     0.0,\n",
-       "     27615.6484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     71860.7109375,\n",
-       "     26354.93359375,\n",
-       "     0.0,\n",
-       "     18190.30859375,\n",
-       "     13807.82421875,\n",
-       "     184184.375,\n",
-       "     149064.46484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     32238.267578125,\n",
-       "     0.0,\n",
-       "     153206.796875,\n",
-       "     55231.30078125,\n",
-       "     27255.443359375,\n",
-       "     41303.40625,\n",
-       "     40943.19921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29536.73828125,\n",
-       "     0.0,\n",
-       "     85128.234375,\n",
-       "     83147.1171875,\n",
-       "     23053.064453125,\n",
-       "     7324.150390625,\n",
-       "     0.0,\n",
-       "     126671.78125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     17950.171875,\n",
-       "     158369.734375,\n",
-       "     52889.966796875,\n",
-       "     57572.62109375,\n",
-       "     121568.87890625,\n",
-       "     0.0,\n",
-       "     59553.74609375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     31397.791015625,\n",
-       "     7924.49072265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     36140.478515625,\n",
-       "     39742.51953125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44605.27734375,\n",
-       "     31517.859375,\n",
-       "     72040.8203125,\n",
-       "     198352.38671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     15188.6064453125,\n",
-       "     0.0,\n",
-       "     78284.359375,\n",
-       "     0.0,\n",
-       "     229450.0234375,\n",
-       "     28756.296875,\n",
-       "     0.0,\n",
-       "     73541.6748046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     59853.91015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     37161.05859375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     35960.37890625,\n",
-       "     4682.6533203125,\n",
-       "     9005.1025390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     24193.708984375,\n",
-       "     40342.859375,\n",
-       "     0.0,\n",
-       "     46226.1953125,\n",
-       "     68258.677734375,\n",
-       "     0.0,\n",
-       "     25334.35546875,\n",
-       "     0.0,\n",
-       "     38601.87109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29056.4609375,\n",
-       "     0.0,\n",
-       "     33559.015625,\n",
-       "     54270.74609375,\n",
-       "     0.0,\n",
-       "     59853.91015625,\n",
-       "     0.0,\n",
-       "     69999.66796875,\n",
-       "     0.0,\n",
-       "     109021.76953125,\n",
-       "     31818.03125,\n",
-       "     166414.296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     71920.7578125,\n",
-       "     0.0,\n",
-       "     41903.7412109375,\n",
-       "     36080.4453125,\n",
-       "     112263.61328125,\n",
-       "     94613.607421875,\n",
-       "     46046.09375,\n",
-       "     86929.25390625,\n",
-       "     92512.421875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     91431.7998046875,\n",
-       "     108601.5380859375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     95754.26171875,\n",
-       "     35360.037109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     132074.83203125,\n",
-       "     0.0,\n",
-       "     97855.453125,\n",
-       "     22932.9921875,\n",
-       "     0.0,\n",
-       "     44004.9375,\n",
-       "     46046.08984375,\n",
-       "     40282.828125,\n",
-       "     17049.66015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     85188.265625,\n",
-       "     52829.9375,\n",
-       "     80565.6484375,\n",
-       "     89270.5859375,\n",
-       "     20711.736328125,\n",
-       "     39022.109375,\n",
-       "     73601.70703125,\n",
-       "     0.0,\n",
-       "     32058.166015625,\n",
-       "     36380.6171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     26234.8671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44185.0390625,\n",
-       "     14288.095703125,\n",
-       "     9965.646484375,\n",
-       "     65317.01171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     55531.46484375,\n",
-       "     0.0,\n",
-       "     23173.130859375,\n",
-       "     79124.833984375,\n",
-       "     0.0,\n",
-       "     60034.015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44785.379150390625,\n",
-       "     40282.828125,\n",
-       "     33679.0859375,\n",
-       "     85188.2734375,\n",
-       "     0.0,\n",
-       "     12907.3134765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27555.615234375,\n",
-       "     10505.953125,\n",
-       "     71680.62109375,\n",
-       "     23053.0625,\n",
-       "     163292.5234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     28936.396484375,\n",
-       "     0.0,\n",
-       "     16689.45703125,\n",
-       "     87469.5625,\n",
-       "     103198.48046875,\n",
-       "     53430.2763671875,\n",
-       "     0.0,\n",
-       "     220384.8828125,\n",
-       "     0.0,\n",
-       "     36020.41015625,\n",
-       "     67658.341796875,\n",
-       "     137057.6640625,\n",
-       "     48327.37890625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     9125.1708984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     69759.53125,\n",
-       "     0.0,\n",
-       "     45625.8544921875,\n",
-       "     0.0,\n",
-       "     46526.365234375,\n",
-       "     23773.470703125,\n",
-       "     58052.89453125,\n",
-       "     29476.703125,\n",
-       "     0.0,\n",
-       "     27615.6484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     81226.033203125,\n",
-       "     0.0,\n",
-       "     61534.8701171875,\n",
-       "     0.0,\n",
-       "     41183.337890625,\n",
-       "     69879.6015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     61955.109375,\n",
-       "     98575.85595703125,\n",
-       "     61895.0751953125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     153446.955078125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     52229.58984375,\n",
-       "     13927.892578125,\n",
-       "     117966.84375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29656.8046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     53250.173828125,\n",
-       "     9065.13671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     24433.845703125,\n",
-       "     78644.56640625,\n",
-       "     30497.28125,\n",
-       "     175479.4375,\n",
-       "     88910.3828125,\n",
-       "     0.0,\n",
-       "     270213.15625,\n",
-       "     0.0,\n",
-       "     69159.1875,\n",
-       "     70179.765625,\n",
-       "     0.0,\n",
-       "     49648.12890625,\n",
-       "     0.0,\n",
-       "     50008.337890625,\n",
-       "     207657.666015625,\n",
-       "     0.0,\n",
-       "     103318.5546875,\n",
-       "     24193.70703125,\n",
-       "     0.0,\n",
-       "     70479.9375,\n",
-       "     0.0,\n",
-       "     249681.484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     25994.73046875,\n",
-       "     0.0,\n",
-       "     98515.82421875,\n",
-       "     0.0,\n",
-       "     57032.316650390625,\n",
-       "     59433.673828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     10445.91796875,\n",
-       "     0.0,\n",
-       "     70600.0,\n",
-       "     0.0,\n",
-       "     129793.546875,\n",
-       "     71800.685546875,\n",
-       "     55531.46875,\n",
-       "     0.0,\n",
-       "     24133.67578125,\n",
-       "     56852.21484375,\n",
-       "     89450.6875,\n",
-       "     110102.38671875,\n",
-       "     11526.53125,\n",
-       "     27435.546875,\n",
-       "     18130.2734375,\n",
-       "     18130.2734375,\n",
-       "     51809.359375,\n",
-       "     ...],\n",
-       "    'self_employment_income_hh': [0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     14756.951171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     725.751708984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     967.6689453125,\n",
-       "     7499.4345703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     -1209.586181640625,\n",
-       "     0.0,\n",
-       "     58362.5322265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11914.423828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     -45843.31640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     36287.5859375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11491.068359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     3507.800048828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     152770.734375,\n",
-       "     0.0,\n",
-       "     20865.361328125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     307355.84375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     13910.2412109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     21772.55078125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     5866.4931640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     31570.2001953125,\n",
-       "     0.0,\n",
-       "     18143.79296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     39795.38671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     13910.2412109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     120.9586181640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     7680.8720703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     73542.841796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     3326.362060546875,\n",
-       "     0.0,\n",
-       "     1995.8172607421875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44512.7734375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     9616.2099609375,\n",
-       "     0.0,\n",
-       "     44452.29296875,\n",
-       "     5806.013671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     58906.84765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     9555.73046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     44633.73046875,\n",
-       "     19232.419921875,\n",
-       "     14998.869140625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27820.482421875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     4838.3447265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29574.3828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     63987.1083984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     39553.46875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     2116.77587890625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     94226.765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     63987.109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     23526.451171875,\n",
-       "     31388.76171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11732.98583984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     25582.748046875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     100093.2578125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     49955.91015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     92533.34375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     198311.65625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     41730.72265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     18143.79296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     6531.765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27820.482421875,\n",
-       "     1270.0655517578125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     20865.361328125,\n",
-       "     0.0,\n",
-       "     7680.8720703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     17599.478515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     3507.800048828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     84610.5546875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     15301.265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     28667.193359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     101363.3203125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     16027.0166015625,\n",
-       "     11612.02734375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1209.586181640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     9071.896484375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     170067.8125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     2963.486083984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1209.586181640625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     71909.8984375,\n",
-       "     41730.72265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     36287.5859375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     6047.93115234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     16329.4140625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     6047.93115234375,\n",
-       "     0.0,\n",
-       "     298344.4208984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11672.5068359375,\n",
-       "     0.0,\n",
-       "     24010.28515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     26429.45849609375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     28788.150390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27820.482421875,\n",
-       "     37618.12890625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     20865.361328125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     8346.14453125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     30239.654296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     48685.84375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     64833.8203125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     28667.193359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11430.58984375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     33566.015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     15543.1826171875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     69611.6875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     9132.3759765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     22377.34375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     3628.758544921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     10281.482666015625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     15361.744140625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     6047.93115234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     33989.37109375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     24191.724609375,\n",
-       "     0.0,\n",
-       "     8164.70703125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     25824.6650390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     48685.84375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     30481.572265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11430.58935546875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     64591.90234375,\n",
-       "     66527.2421875,\n",
-       "     0.0,\n",
-       "     17720.4375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     21288.716796875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     21167.7578125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     2963.486083984375,\n",
-       "     0.0,\n",
-       "     36469.0234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     -241.917236328125,\n",
-       "     3507.800048828125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     2358.693115234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     11067.7138671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     46387.62890625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     72575.171875,\n",
-       "     2479.651611328125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     ...],\n",
-       "    'household_net_income': [43707.171875,\n",
-       "     3142.575439453125,\n",
-       "     10704.46484375,\n",
-       "     18229.52734375,\n",
-       "     215954.0625,\n",
-       "     27784.7109375,\n",
-       "     49857.5078125,\n",
-       "     25629.09375,\n",
-       "     10780.0,\n",
-       "     39978.03125,\n",
-       "     88595.265625,\n",
-       "     34119.4296875,\n",
-       "     57078.1484375,\n",
-       "     21267.255859375,\n",
-       "     16414.025390625,\n",
-       "     48645.6484375,\n",
-       "     31204.416015625,\n",
-       "     55746.21484375,\n",
-       "     59913.6640625,\n",
-       "     22340.91796875,\n",
-       "     72637.5546875,\n",
-       "     16677.537109375,\n",
-       "     82880.53125,\n",
-       "     4289.765625,\n",
-       "     40684.71875,\n",
-       "     19268.46875,\n",
-       "     24358.6875,\n",
-       "     52437.859375,\n",
-       "     14303.0,\n",
-       "     15763.11328125,\n",
-       "     -128506.71875,\n",
-       "     20571.6328125,\n",
-       "     59331.125,\n",
-       "     86451.25,\n",
-       "     -20468.474609375,\n",
-       "     64220.46484375,\n",
-       "     30045.90234375,\n",
-       "     40225.640625,\n",
-       "     15444.091796875,\n",
-       "     26898.22265625,\n",
-       "     21301.7578125,\n",
-       "     22928.806640625,\n",
-       "     27535.919921875,\n",
-       "     35348.859375,\n",
-       "     26723.1484375,\n",
-       "     5581.7998046875,\n",
-       "     3272.686767578125,\n",
-       "     16732.796875,\n",
-       "     65054.0859375,\n",
-       "     37356.80078125,\n",
-       "     -1579.7364501953125,\n",
-       "     39088.7265625,\n",
-       "     41926.2734375,\n",
-       "     24192.912109375,\n",
-       "     52582.99609375,\n",
-       "     21309.865234375,\n",
-       "     26980.39453125,\n",
-       "     80769.25,\n",
-       "     25535.3359375,\n",
-       "     66153.1796875,\n",
-       "     39811.79296875,\n",
-       "     10993.4775390625,\n",
-       "     11530.6552734375,\n",
-       "     28238.001953125,\n",
-       "     15275.302734375,\n",
-       "     17301.541015625,\n",
-       "     47389.671875,\n",
-       "     45542.71484375,\n",
-       "     8121.85546875,\n",
-       "     17651.365234375,\n",
-       "     66589.65625,\n",
-       "     13023.8046875,\n",
-       "     27685.66015625,\n",
-       "     20504.427734375,\n",
-       "     117678.140625,\n",
-       "     98947.515625,\n",
-       "     13805.2431640625,\n",
-       "     12059.578125,\n",
-       "     255534.734375,\n",
-       "     10281.537109375,\n",
-       "     11122.86328125,\n",
-       "     165560.84375,\n",
-       "     13347.9189453125,\n",
-       "     13604.572265625,\n",
-       "     18141.673828125,\n",
-       "     315940.0625,\n",
-       "     81476.265625,\n",
-       "     19129.666015625,\n",
-       "     9317.88671875,\n",
-       "     15947.091796875,\n",
-       "     56296.94921875,\n",
-       "     36250.57421875,\n",
-       "     22895.619140625,\n",
-       "     72516.3828125,\n",
-       "     25457.4453125,\n",
-       "     36104.72265625,\n",
-       "     61934.015625,\n",
-       "     22195.693359375,\n",
-       "     26556.9453125,\n",
-       "     20767.580078125,\n",
-       "     23189.625,\n",
-       "     65076.65234375,\n",
-       "     10264.12890625,\n",
-       "     21051.16796875,\n",
-       "     36979.61328125,\n",
-       "     31142.58984375,\n",
-       "     33127.40234375,\n",
-       "     9797.783203125,\n",
-       "     33696.6796875,\n",
-       "     13544.94140625,\n",
-       "     54366.6171875,\n",
-       "     7868.0595703125,\n",
-       "     36050.8671875,\n",
-       "     28560.58203125,\n",
-       "     3898.26318359375,\n",
-       "     19578.28125,\n",
-       "     30264.376953125,\n",
-       "     153490.25,\n",
-       "     316855.375,\n",
-       "     9338.2109375,\n",
-       "     2153.59375,\n",
-       "     19003.345703125,\n",
-       "     131155.40625,\n",
-       "     41031.05078125,\n",
-       "     26422.41015625,\n",
-       "     74388.5859375,\n",
-       "     44162.25,\n",
-       "     28698.5859375,\n",
-       "     42627.796875,\n",
-       "     37928.48046875,\n",
-       "     127189.078125,\n",
-       "     51820.8046875,\n",
-       "     271989.375,\n",
-       "     37655.34765625,\n",
-       "     93391.453125,\n",
-       "     25902.857421875,\n",
-       "     9869.9140625,\n",
-       "     23801.8046875,\n",
-       "     15609.349609375,\n",
-       "     62699.0625,\n",
-       "     17095.65625,\n",
-       "     24272.908203125,\n",
-       "     15442.1279296875,\n",
-       "     10046.8134765625,\n",
-       "     26728.060546875,\n",
-       "     47194.2578125,\n",
-       "     62641.12109375,\n",
-       "     20087.623046875,\n",
-       "     56074.23046875,\n",
-       "     16215.41796875,\n",
-       "     13355.7421875,\n",
-       "     25064.40625,\n",
-       "     44506.875,\n",
-       "     37325.0625,\n",
-       "     67297.046875,\n",
-       "     63122.0703125,\n",
-       "     79026.96875,\n",
-       "     44696.5703125,\n",
-       "     43182.4375,\n",
-       "     55756.03125,\n",
-       "     17063.30859375,\n",
-       "     37349.9140625,\n",
-       "     42640.640625,\n",
-       "     65707.234375,\n",
-       "     63564.61328125,\n",
-       "     54662.140625,\n",
-       "     8340.36328125,\n",
-       "     16616.28515625,\n",
-       "     4204.4443359375,\n",
-       "     17658.052734375,\n",
-       "     31401.080078125,\n",
-       "     20776.923828125,\n",
-       "     8840.8642578125,\n",
-       "     9550.8349609375,\n",
-       "     29042.060546875,\n",
-       "     11616.8046875,\n",
-       "     55008.265625,\n",
-       "     25784.564453125,\n",
-       "     34279.21875,\n",
-       "     29016.31640625,\n",
-       "     10254.0078125,\n",
-       "     34496.578125,\n",
-       "     19506.125,\n",
-       "     101436.125,\n",
-       "     42817.6015625,\n",
-       "     9149.978515625,\n",
-       "     9762.638671875,\n",
-       "     20512.794921875,\n",
-       "     77278.4375,\n",
-       "     5808.01171875,\n",
-       "     42562.12109375,\n",
-       "     20474.3359375,\n",
-       "     9107.287109375,\n",
-       "     43880.46875,\n",
-       "     33198.40234375,\n",
-       "     9970.51953125,\n",
-       "     15695.4560546875,\n",
-       "     15324.92578125,\n",
-       "     29335.076171875,\n",
-       "     22148.72265625,\n",
-       "     30231.73828125,\n",
-       "     36034.15234375,\n",
-       "     12875.3046875,\n",
-       "     49377.890625,\n",
-       "     32652.716796875,\n",
-       "     44287.9609375,\n",
-       "     30536.28125,\n",
-       "     32627.7109375,\n",
-       "     44511.1484375,\n",
-       "     25435.1796875,\n",
-       "     33596.84375,\n",
-       "     79182.4375,\n",
-       "     26521.69921875,\n",
-       "     -4152.615234375,\n",
-       "     27172.6640625,\n",
-       "     8587.8232421875,\n",
-       "     12383.3701171875,\n",
-       "     116223.8671875,\n",
-       "     39697.8671875,\n",
-       "     24945.57421875,\n",
-       "     73057.234375,\n",
-       "     3563.61767578125,\n",
-       "     12544.15625,\n",
-       "     23413.66796875,\n",
-       "     12505.98828125,\n",
-       "     5689.939453125,\n",
-       "     27817.953125,\n",
-       "     7410.8515625,\n",
-       "     74294.9296875,\n",
-       "     28233.46484375,\n",
-       "     23850.513671875,\n",
-       "     11525.75,\n",
-       "     50286.09765625,\n",
-       "     53617.3828125,\n",
-       "     12487.078125,\n",
-       "     27981.734375,\n",
-       "     9664.7451171875,\n",
-       "     48108.6484375,\n",
-       "     27492.69921875,\n",
-       "     38381.6171875,\n",
-       "     24950.06640625,\n",
-       "     46402.2890625,\n",
-       "     19775.2265625,\n",
-       "     7882.49169921875,\n",
-       "     54711.28125,\n",
-       "     6020.64990234375,\n",
-       "     7532.173828125,\n",
-       "     8363.025390625,\n",
-       "     30841.052734375,\n",
-       "     47589.80859375,\n",
-       "     45036.5625,\n",
-       "     63125.37109375,\n",
-       "     12188.890625,\n",
-       "     34874.015625,\n",
-       "     25477.09765625,\n",
-       "     23119.92578125,\n",
-       "     9823.6552734375,\n",
-       "     49253.0,\n",
-       "     30346.115234375,\n",
-       "     32544.435546875,\n",
-       "     13396.53515625,\n",
-       "     17755.140625,\n",
-       "     35959.77734375,\n",
-       "     18152.423828125,\n",
-       "     9776.66015625,\n",
-       "     85743.5,\n",
-       "     21293.19921875,\n",
-       "     166705.46875,\n",
-       "     24838.140625,\n",
-       "     88273.328125,\n",
-       "     35120.703125,\n",
-       "     8333.421875,\n",
-       "     32576.6171875,\n",
-       "     26298.5546875,\n",
-       "     22580.025390625,\n",
-       "     11155.439453125,\n",
-       "     56628.578125,\n",
-       "     11476.80078125,\n",
-       "     49142.50390625,\n",
-       "     22911.423828125,\n",
-       "     45223.921875,\n",
-       "     46211.98828125,\n",
-       "     35932.73046875,\n",
-       "     84854.34375,\n",
-       "     1255.703125,\n",
-       "     36483.07421875,\n",
-       "     16885.125,\n",
-       "     19078.2421875,\n",
-       "     19249.6171875,\n",
-       "     39621.2265625,\n",
-       "     95830.6875,\n",
-       "     21457.423828125,\n",
-       "     13749.896484375,\n",
-       "     88781.125,\n",
-       "     47923.5234375,\n",
-       "     20228.052734375,\n",
-       "     36540.3671875,\n",
-       "     8048.712890625,\n",
-       "     18547.857421875,\n",
-       "     38261.85546875,\n",
-       "     39400.7265625,\n",
-       "     35672.3671875,\n",
-       "     65236.46484375,\n",
-       "     3173.94677734375,\n",
-       "     51162.7578125,\n",
-       "     7003.6923828125,\n",
-       "     28688.521484375,\n",
-       "     11501.2412109375,\n",
-       "     34444.96875,\n",
-       "     41185.1171875,\n",
-       "     59785.4609375,\n",
-       "     27131.701171875,\n",
-       "     12944.48828125,\n",
-       "     54700.546875,\n",
-       "     40771.8828125,\n",
-       "     58167.84375,\n",
-       "     2892.962890625,\n",
-       "     61649.984375,\n",
-       "     36237.7578125,\n",
-       "     79323.2421875,\n",
-       "     6546.900390625,\n",
-       "     -1101.66943359375,\n",
-       "     27923.158203125,\n",
-       "     42184.578125,\n",
-       "     9520.78125,\n",
-       "     49270.84375,\n",
-       "     105695.9921875,\n",
-       "     98063.609375,\n",
-       "     84931.1875,\n",
-       "     44491.48828125,\n",
-       "     10819.33203125,\n",
-       "     21319.1015625,\n",
-       "     20797.1875,\n",
-       "     48348.96484375,\n",
-       "     87744.53125,\n",
-       "     108673.21875,\n",
-       "     33853.5859375,\n",
-       "     16018.2529296875,\n",
-       "     31761.56640625,\n",
-       "     74979.7734375,\n",
-       "     29424.263671875,\n",
-       "     10650.248046875,\n",
-       "     2891.41650390625,\n",
-       "     26328.6953125,\n",
-       "     27482.13671875,\n",
-       "     44666.06640625,\n",
-       "     6244.5185546875,\n",
-       "     12128.6005859375,\n",
-       "     35588.3515625,\n",
-       "     21010.294921875,\n",
-       "     16372.37890625,\n",
-       "     20546.333984375,\n",
-       "     15648.65234375,\n",
-       "     27971.59765625,\n",
-       "     56526.02734375,\n",
-       "     54513.109375,\n",
-       "     8597.9951171875,\n",
-       "     -689.36767578125,\n",
-       "     19768.40234375,\n",
-       "     25372.240234375,\n",
-       "     39605.15625,\n",
-       "     39833.93359375,\n",
-       "     9318.8291015625,\n",
-       "     6799.25341796875,\n",
-       "     24756.0703125,\n",
-       "     25564.44140625,\n",
-       "     50549.015625,\n",
-       "     23252.044921875,\n",
-       "     29516.09765625,\n",
-       "     12862.01953125,\n",
-       "     41064.71875,\n",
-       "     31453.62109375,\n",
-       "     33117.98828125,\n",
-       "     58318.9140625,\n",
-       "     4985.224609375,\n",
-       "     78580.1875,\n",
-       "     28448.42578125,\n",
-       "     9988.7646484375,\n",
-       "     3804.8603515625,\n",
-       "     30142.9921875,\n",
-       "     30300.75,\n",
-       "     25018.00390625,\n",
-       "     21507.98828125,\n",
-       "     24167.09765625,\n",
-       "     17679.59765625,\n",
-       "     9347.9091796875,\n",
-       "     7545.45263671875,\n",
-       "     12772.56640625,\n",
-       "     85620.8828125,\n",
-       "     169038.6875,\n",
-       "     10588.7158203125,\n",
-       "     31739.74609375,\n",
-       "     36000.60546875,\n",
-       "     12157.25390625,\n",
-       "     74236.6015625,\n",
-       "     74747.625,\n",
-       "     9156.8408203125,\n",
-       "     58697.1953125,\n",
-       "     34990.1015625,\n",
-       "     108851.5625,\n",
-       "     27089.173828125,\n",
-       "     26555.052734375,\n",
-       "     118571.2421875,\n",
-       "     41870.578125,\n",
-       "     34075.5,\n",
-       "     12395.0458984375,\n",
-       "     28315.513671875,\n",
-       "     123538.28125,\n",
-       "     97454.359375,\n",
-       "     56438.9375,\n",
-       "     7933.06640625,\n",
-       "     59713.8515625,\n",
-       "     12128.1171875,\n",
-       "     33329.78515625,\n",
-       "     3278.4794921875,\n",
-       "     16752.3125,\n",
-       "     22081.333984375,\n",
-       "     22589.412109375,\n",
-       "     108697.328125,\n",
-       "     14515.5791015625,\n",
-       "     37489.3203125,\n",
-       "     12504.7041015625,\n",
-       "     11300.720703125,\n",
-       "     55803.34765625,\n",
-       "     10908.4755859375,\n",
-       "     13618.771484375,\n",
-       "     33706.3984375,\n",
-       "     74855.6875,\n",
-       "     57880.84375,\n",
-       "     137180.96875,\n",
-       "     25264.890625,\n",
-       "     41754.796875,\n",
-       "     78207.6015625,\n",
-       "     68069.359375,\n",
-       "     17386.11328125,\n",
-       "     10200.990234375,\n",
-       "     35514.1484375,\n",
-       "     13605.3359375,\n",
-       "     27048.25390625,\n",
-       "     6214.19775390625,\n",
-       "     53338.625,\n",
-       "     36059.703125,\n",
-       "     15764.73046875,\n",
-       "     53728.0625,\n",
-       "     43713.9375,\n",
-       "     55100.3046875,\n",
-       "     22285.546875,\n",
-       "     15021.095703125,\n",
-       "     11804.04296875,\n",
-       "     119433.75,\n",
-       "     57992.546875,\n",
-       "     22262.857421875,\n",
-       "     7444.3125,\n",
-       "     17285.37890625,\n",
-       "     28090.86328125,\n",
-       "     23351.6875,\n",
-       "     15389.505859375,\n",
-       "     34720.66015625,\n",
-       "     69174.734375,\n",
-       "     44837.1796875,\n",
-       "     30888.240234375,\n",
-       "     46319.32421875,\n",
-       "     23978.17578125,\n",
-       "     39908.25,\n",
-       "     33175.734375,\n",
-       "     20011.755859375,\n",
-       "     45716.5625,\n",
-       "     39636.5390625,\n",
-       "     25115.400390625,\n",
-       "     32382.224609375,\n",
-       "     77154.34375,\n",
-       "     50155.51171875,\n",
-       "     21758.30078125,\n",
-       "     10752.83203125,\n",
-       "     165802.65625,\n",
-       "     24444.01953125,\n",
-       "     29272.8046875,\n",
-       "     18202.853515625,\n",
-       "     57241.4296875,\n",
-       "     26884.689453125,\n",
-       "     19844.25390625,\n",
-       "     25258.953125,\n",
-       "     14970.2275390625,\n",
-       "     16612.43359375,\n",
-       "     15722.3095703125,\n",
-       "     53260.6484375,\n",
-       "     43651.578125,\n",
-       "     15112.693359375,\n",
-       "     23301.4921875,\n",
-       "     17306.51171875,\n",
-       "     30268.7265625,\n",
-       "     3652.7958984375,\n",
-       "     33857.515625,\n",
-       "     5528.908203125,\n",
-       "     20664.146484375,\n",
-       "     22085.55859375,\n",
-       "     72952.5859375,\n",
-       "     28859.5703125,\n",
-       "     26013.9921875,\n",
-       "     36117.046875,\n",
-       "     30540.87109375,\n",
-       "     14999.2109375,\n",
-       "     44903.4921875,\n",
-       "     70017.3125,\n",
-       "     15702.48046875,\n",
-       "     50410.8359375,\n",
-       "     23700.248046875,\n",
-       "     24146.55859375,\n",
-       "     11975.033203125,\n",
-       "     13921.8544921875,\n",
-       "     93413.3515625,\n",
-       "     136784.28125,\n",
-       "     27863.84375,\n",
-       "     50578.953125,\n",
-       "     11493.357421875,\n",
-       "     25916.90625,\n",
-       "     26561.56640625,\n",
-       "     51577.7421875,\n",
-       "     15995.7626953125,\n",
-       "     -1082.701171875,\n",
-       "     11255.41015625,\n",
-       "     9294.3349609375,\n",
-       "     19874.62109375,\n",
-       "     27084.13671875,\n",
-       "     4962.96875,\n",
-       "     90098.34375,\n",
-       "     22797.091796875,\n",
-       "     21036.56640625,\n",
-       "     11378.5185546875,\n",
-       "     58236.171875,\n",
-       "     32444.45703125,\n",
-       "     26321.439453125,\n",
-       "     53789.734375,\n",
-       "     23105.453125,\n",
-       "     8122.96142578125,\n",
-       "     25941.162109375,\n",
-       "     10712.5224609375,\n",
-       "     74849.1953125,\n",
-       "     43276.09375,\n",
-       "     58011.6328125,\n",
-       "     17440.96875,\n",
-       "     24302.11328125,\n",
-       "     13931.8984375,\n",
-       "     60661.9609375,\n",
-       "     5558.8203125,\n",
-       "     33343.953125,\n",
-       "     13231.47265625,\n",
-       "     16819.58203125,\n",
-       "     46111.28515625,\n",
-       "     48875.15625,\n",
-       "     7909.02099609375,\n",
-       "     26090.37109375,\n",
-       "     12992.7001953125,\n",
-       "     40143.86328125,\n",
-       "     32070.3046875,\n",
-       "     15255.017578125,\n",
-       "     57086.359375,\n",
-       "     107163.1875,\n",
-       "     62488.0078125,\n",
-       "     50284.09375,\n",
-       "     39238.19140625,\n",
-       "     21576.80078125,\n",
-       "     19523.6171875,\n",
-       "     47961.15234375,\n",
-       "     10748.462890625,\n",
-       "     15958.998046875,\n",
-       "     -1289.754150390625,\n",
-       "     20888.705078125,\n",
-       "     29686.671875,\n",
-       "     43619.296875,\n",
-       "     26819.783203125,\n",
-       "     5019.94384765625,\n",
-       "     54461.796875,\n",
-       "     8589.38671875,\n",
-       "     15184.9375,\n",
-       "     69761.015625,\n",
-       "     9738.6875,\n",
-       "     25802.1015625,\n",
-       "     83275.9375,\n",
-       "     41495.890625,\n",
-       "     23339.52734375,\n",
-       "     19610.0546875,\n",
-       "     29048.76953125,\n",
-       "     10953.4326171875,\n",
-       "     28458.642578125,\n",
-       "     31591.9375,\n",
-       "     170732.3125,\n",
-       "     33014.65234375,\n",
-       "     52871.390625,\n",
-       "     35898.84765625,\n",
-       "     88868.109375,\n",
-       "     29324.517578125,\n",
-       "     68759.796875,\n",
-       "     58651.4296875,\n",
-       "     28359.154296875,\n",
-       "     19972.45703125,\n",
-       "     27281.75390625,\n",
-       "     26020.98046875,\n",
-       "     75310.515625,\n",
-       "     -1432.4979248046875,\n",
-       "     9981.8935546875,\n",
-       "     6308.1796875,\n",
-       "     22531.369140625,\n",
-       "     77373.9296875,\n",
-       "     13452.158203125,\n",
-       "     18496.826171875,\n",
-       "     16808.37109375,\n",
-       "     20784.705078125,\n",
-       "     12159.1201171875,\n",
-       "     20564.50390625,\n",
-       "     42347.015625,\n",
-       "     45590.9453125,\n",
-       "     61605.2890625,\n",
-       "     33906.71875,\n",
-       "     17697.06640625,\n",
-       "     20223.3125,\n",
-       "     25380.6328125,\n",
-       "     16098.6103515625,\n",
-       "     139717.875,\n",
-       "     195380.265625,\n",
-       "     34873.7421875,\n",
-       "     18414.890625,\n",
-       "     20170.693359375,\n",
-       "     29637.55859375,\n",
-       "     54936.13671875,\n",
-       "     49564.328125,\n",
-       "     14323.072265625,\n",
-       "     82969.6875,\n",
-       "     76607.5078125,\n",
-       "     44144.60546875,\n",
-       "     212275.28125,\n",
-       "     20259.96875,\n",
-       "     57766.08203125,\n",
-       "     20551.419921875,\n",
-       "     8387.8349609375,\n",
-       "     27138.552734375,\n",
-       "     2719.126953125,\n",
-       "     69755.53125,\n",
-       "     44748.2421875,\n",
-       "     34924.94921875,\n",
-       "     24866.9140625,\n",
-       "     19152.947265625,\n",
-       "     105053.09375,\n",
-       "     21284.35546875,\n",
-       "     21473.798828125,\n",
-       "     35485.40234375,\n",
-       "     9150.9013671875,\n",
-       "     19319.8984375,\n",
-       "     23271.291015625,\n",
-       "     36932.8828125,\n",
-       "     23183.7890625,\n",
-       "     25429.947265625,\n",
-       "     53831.73046875,\n",
-       "     14312.650390625,\n",
-       "     10251.283203125,\n",
-       "     35388.078125,\n",
-       "     53019.0234375,\n",
-       "     21784.01953125,\n",
-       "     19933.556640625,\n",
-       "     13146.28125,\n",
-       "     2092.3369140625,\n",
-       "     66132.625,\n",
-       "     15539.8134765625,\n",
-       "     20147.5625,\n",
-       "     39296.5625,\n",
-       "     41056.796875,\n",
-       "     119921.1484375,\n",
-       "     98231.515625,\n",
-       "     -275.660888671875,\n",
-       "     17291.0859375,\n",
-       "     16320.4580078125,\n",
-       "     24472.259765625,\n",
-       "     30045.8671875,\n",
-       "     96428.6796875,\n",
-       "     37655.984375,\n",
-       "     22469.14453125,\n",
-       "     28419.2890625,\n",
-       "     20409.701171875,\n",
-       "     19889.140625,\n",
-       "     18155.0546875,\n",
-       "     4545.45703125,\n",
-       "     6905.21875,\n",
-       "     -4117.87939453125,\n",
-       "     19094.37109375,\n",
-       "     22129.21875,\n",
-       "     19860.50390625,\n",
-       "     62055.0390625,\n",
-       "     59329.453125,\n",
-       "     18577.1015625,\n",
-       "     26651.73046875,\n",
-       "     10583.7568359375,\n",
-       "     105379.8046875,\n",
-       "     12856.748046875,\n",
-       "     14514.390625,\n",
-       "     78950.5625,\n",
-       "     23669.17578125,\n",
-       "     100479.265625,\n",
-       "     38644.265625,\n",
-       "     71929.921875,\n",
-       "     81459.015625,\n",
-       "     6371.166015625,\n",
-       "     62952.44921875,\n",
-       "     15155.853515625,\n",
-       "     16380.400390625,\n",
-       "     21910.765625,\n",
-       "     12469.138671875,\n",
-       "     16210.109375,\n",
-       "     13399.37109375,\n",
-       "     17971.1796875,\n",
-       "     10108.451171875,\n",
-       "     25270.4296875,\n",
-       "     47267.6328125,\n",
-       "     30352.08203125,\n",
-       "     53706.3828125,\n",
-       "     7710.384765625,\n",
-       "     15634.3203125,\n",
-       "     17866.7734375,\n",
-       "     31242.775390625,\n",
-       "     42507.79296875,\n",
-       "     39646.046875,\n",
-       "     122859.921875,\n",
-       "     34.47021484375,\n",
-       "     58943.23828125,\n",
-       "     18119.6875,\n",
-       "     9362.609375,\n",
-       "     13975.076171875,\n",
-       "     68694.8671875,\n",
-       "     12766.2294921875,\n",
-       "     67705.0390625,\n",
-       "     16093.1591796875,\n",
-       "     134581.125,\n",
-       "     42130.77734375,\n",
-       "     11074.2822265625,\n",
-       "     61294.296875,\n",
-       "     18957.376953125,\n",
-       "     9606.78515625,\n",
-       "     26316.435546875,\n",
-       "     15348.2412109375,\n",
-       "     27289.703125,\n",
-       "     18072.572265625,\n",
-       "     40168.578125,\n",
-       "     25484.669921875,\n",
-       "     3366.7294921875,\n",
-       "     12809.869140625,\n",
-       "     56291.5703125,\n",
-       "     26847.74609375,\n",
-       "     10853.619140625,\n",
-       "     10796.619140625,\n",
-       "     25932.22265625,\n",
-       "     21763.607421875,\n",
-       "     13995.087890625,\n",
-       "     21826.861328125,\n",
-       "     42489.5625,\n",
-       "     46900.8515625,\n",
-       "     16364.8359375,\n",
-       "     28233.193359375,\n",
-       "     17819.859375,\n",
-       "     30276.599609375,\n",
-       "     47215.890625,\n",
-       "     23767.5625,\n",
-       "     18576.60546875,\n",
-       "     21276.80078125,\n",
-       "     21260.494140625,\n",
-       "     7280.4423828125,\n",
-       "     15367.4140625,\n",
-       "     -977.975830078125,\n",
-       "     22717.3515625,\n",
-       "     24605.9375,\n",
-       "     28193.3515625,\n",
-       "     35655.515625,\n",
-       "     18795.08203125,\n",
-       "     41738.5546875,\n",
-       "     10020.65234375,\n",
-       "     50714.484375,\n",
-       "     9839.55078125,\n",
-       "     87314.53125,\n",
-       "     39717.01171875,\n",
-       "     119136.2578125,\n",
-       "     47548.41796875,\n",
-       "     58391.0,\n",
-       "     30451.890625,\n",
-       "     16345.4794921875,\n",
-       "     65415.3359375,\n",
-       "     12428.73046875,\n",
-       "     54778.15625,\n",
-       "     2989.754150390625,\n",
-       "     30820.69921875,\n",
-       "     25883.080078125,\n",
-       "     81486.4453125,\n",
-       "     65146.2421875,\n",
-       "     28453.31640625,\n",
-       "     60011.13671875,\n",
-       "     62602.9609375,\n",
-       "     -14764.322265625,\n",
-       "     29422.45703125,\n",
-       "     56603.05859375,\n",
-       "     79536.125,\n",
-       "     24632.3671875,\n",
-       "     50500.9375,\n",
-       "     74423.0859375,\n",
-       "     25874.40234375,\n",
-       "     19938.669921875,\n",
-       "     37494.46484375,\n",
-       "     11052.96484375,\n",
-       "     87075.03125,\n",
-       "     17156.07421875,\n",
-       "     89175.234375,\n",
-       "     34497.0625,\n",
-       "     19949.849609375,\n",
-       "     32168.64453125,\n",
-       "     33110.2890625,\n",
-       "     29775.78125,\n",
-       "     28321.275390625,\n",
-       "     27260.85546875,\n",
-       "     11453.2607421875,\n",
-       "     104797.5078125,\n",
-       "     35536.43359375,\n",
-       "     49446.4453125,\n",
-       "     60013.16015625,\n",
-       "     14651.8359375,\n",
-       "     40943.578125,\n",
-       "     53349.96484375,\n",
-       "     18978.25390625,\n",
-       "     23156.21484375,\n",
-       "     30602.41015625,\n",
-       "     11167.240234375,\n",
-       "     10488.865234375,\n",
-       "     44030.8671875,\n",
-       "     41608.1484375,\n",
-       "     21066.318359375,\n",
-       "     27940.359375,\n",
-       "     20735.875,\n",
-       "     12271.0537109375,\n",
-       "     30823.646484375,\n",
-       "     18726.30859375,\n",
-       "     29251.9921875,\n",
-       "     8649.9384765625,\n",
-       "     7813.51708984375,\n",
-       "     44993.0546875,\n",
-       "     37498.5078125,\n",
-       "     7005.4375,\n",
-       "     38569.35546875,\n",
-       "     -1186.7822265625,\n",
-       "     18557.6953125,\n",
-       "     89530.6796875,\n",
-       "     10534.1181640625,\n",
-       "     20535.25,\n",
-       "     36713.5390625,\n",
-       "     12112.21484375,\n",
-       "     33041.1328125,\n",
-       "     29103.86328125,\n",
-       "     32324.65234375,\n",
-       "     61935.7421875,\n",
-       "     -853.5398559570312,\n",
-       "     25072.08984375,\n",
-       "     64521.859375,\n",
-       "     42044.234375,\n",
-       "     56234.7890625,\n",
-       "     18445.2578125,\n",
-       "     18043.615234375,\n",
-       "     44490.83984375,\n",
-       "     16262.884765625,\n",
-       "     102411.421875,\n",
-       "     25990.408203125,\n",
-       "     461.5087890625,\n",
-       "     28273.4296875,\n",
-       "     12627.86328125,\n",
-       "     11866.4677734375,\n",
-       "     56651.421875,\n",
-       "     67058.5859375,\n",
-       "     79814.296875,\n",
-       "     53811.64453125,\n",
-       "     119997.1171875,\n",
-       "     29939.85546875,\n",
-       "     23697.71484375,\n",
-       "     55665.9375,\n",
-       "     90454.625,\n",
-       "     54460.23046875,\n",
-       "     20218.71875,\n",
-       "     10188.92578125,\n",
-       "     11656.5380859375,\n",
-       "     20977.091796875,\n",
-       "     29226.65625,\n",
-       "     8186.3720703125,\n",
-       "     14922.36328125,\n",
-       "     14584.759765625,\n",
-       "     48875.7578125,\n",
-       "     3901.5625,\n",
-       "     35036.7890625,\n",
-       "     -3955.75146484375,\n",
-       "     77031.15625,\n",
-       "     40220.6875,\n",
-       "     40158.0390625,\n",
-       "     20471.45703125,\n",
-       "     14843.423828125,\n",
-       "     19902.333984375,\n",
-       "     9071.580078125,\n",
-       "     24073.537109375,\n",
-       "     23143.634765625,\n",
-       "     19286.841796875,\n",
-       "     58864.328125,\n",
-       "     9309.8193359375,\n",
-       "     44742.70703125,\n",
-       "     27199.931640625,\n",
-       "     30623.63671875,\n",
-       "     66152.5703125,\n",
-       "     5314.98193359375,\n",
-       "     9292.396484375,\n",
-       "     7010.52685546875,\n",
-       "     38828.7265625,\n",
-       "     72328.65625,\n",
-       "     45320.06640625,\n",
-       "     15622.8408203125,\n",
-       "     29079.02734375,\n",
-       "     20947.3125,\n",
-       "     50038.08984375,\n",
-       "     -159.0,\n",
-       "     9575.43359375,\n",
-       "     9162.123046875,\n",
-       "     103943.140625,\n",
-       "     21683.626953125,\n",
-       "     27127.5625,\n",
-       "     20700.060546875,\n",
-       "     44252.69921875,\n",
-       "     14941.79296875,\n",
-       "     8779.1904296875,\n",
-       "     49708.484375,\n",
-       "     22398.3828125,\n",
-       "     26104.982421875,\n",
-       "     30356.255859375,\n",
-       "     24146.203125,\n",
-       "     36263.76953125,\n",
-       "     29465.265625,\n",
-       "     80635.234375,\n",
-       "     26993.50390625,\n",
-       "     33609.140625,\n",
-       "     16236.87890625,\n",
-       "     27347.669921875,\n",
-       "     6354.88720703125,\n",
-       "     37887.20703125,\n",
-       "     8661.08984375,\n",
-       "     14153.3037109375,\n",
-       "     27421.478515625,\n",
-       "     38240.7734375,\n",
-       "     15192.6162109375,\n",
-       "     29741.29296875,\n",
-       "     33518.7421875,\n",
-       "     13152.1640625,\n",
-       "     55347.19921875,\n",
-       "     51584.04296875,\n",
-       "     96965.234375,\n",
-       "     78077.4296875,\n",
-       "     25348.595703125,\n",
-       "     151692.15625,\n",
-       "     11671.310546875,\n",
-       "     44656.85546875,\n",
-       "     31858.8671875,\n",
-       "     2555.774169921875,\n",
-       "     27334.552734375,\n",
-       "     10566.009765625,\n",
-       "     41659.19140625,\n",
-       "     138370.515625,\n",
-       "     13393.873046875,\n",
-       "     77990.96875,\n",
-       "     28253.08203125,\n",
-       "     15898.998046875,\n",
-       "     50501.671875,\n",
-       "     14248.9599609375,\n",
-       "     155358.1875,\n",
-       "     13866.76171875,\n",
-       "     29753.38671875,\n",
-       "     14182.369140625,\n",
-       "     39780.6796875,\n",
-       "     10536.986328125,\n",
-       "     66818.015625,\n",
-       "     9677.423828125,\n",
-       "     45774.5625,\n",
-       "     36796.6953125,\n",
-       "     2930.2978515625,\n",
-       "     12540.2236328125,\n",
-       "     35819.203125,\n",
-       "     50449.61328125,\n",
-       "     15071.6865234375,\n",
-       "     8441.494140625,\n",
-       "     63421.1484375,\n",
-       "     37510.3203125,\n",
-       "     20482.66015625,\n",
-       "     85649.0,\n",
-       "     36468.55078125,\n",
-       "     49493.98828125,\n",
-       "     90344.46875,\n",
-       "     47439.37109375,\n",
-       "     39636.60546875,\n",
-       "     59364.3359375,\n",
-       "     73924.828125,\n",
-       "     47466.28515625,\n",
-       "     20133.70703125,\n",
-       "     12650.9970703125,\n",
-       "     14498.7373046875,\n",
-       "     34246.42578125,\n",
-       "     ...],\n",
-       "    'equiv_household_net_income': [36422.640625,\n",
-       "     2362.838623046875,\n",
-       "     8048.4697265625,\n",
-       "     18229.52734375,\n",
-       "     215954.0625,\n",
-       "     23153.92578125,\n",
-       "     49857.5078125,\n",
-       "     25629.09375,\n",
-       "     16089.5517578125,\n",
-       "     39978.03125,\n",
-       "     63282.33203125,\n",
-       "     18343.779296875,\n",
-       "     57078.1484375,\n",
-       "     21267.255859375,\n",
-       "     24498.544921875,\n",
-       "     48645.6484375,\n",
-       "     31204.416015625,\n",
-       "     55746.21484375,\n",
-       "     42795.4765625,\n",
-       "     16797.681640625,\n",
-       "     45398.47265625,\n",
-       "     24891.845703125,\n",
-       "     37844.9921875,\n",
-       "     6402.63525390625,\n",
-       "     40684.71875,\n",
-       "     19268.46875,\n",
-       "     24358.6875,\n",
-       "     52437.859375,\n",
-       "     14303.0,\n",
-       "     23527.033203125,\n",
-       "     -128506.71875,\n",
-       "     20571.6328125,\n",
-       "     42379.375,\n",
-       "     86451.25,\n",
-       "     -14620.3388671875,\n",
-       "     41974.16015625,\n",
-       "     30045.90234375,\n",
-       "     30244.841796875,\n",
-       "     17751.830078125,\n",
-       "     40146.6015625,\n",
-       "     21301.7578125,\n",
-       "     22928.806640625,\n",
-       "     19668.513671875,\n",
-       "     52759.4921875,\n",
-       "     26723.1484375,\n",
-       "     8331.0439453125,\n",
-       "     4884.60693359375,\n",
-       "     16732.796875,\n",
-       "     65054.0859375,\n",
-       "     37356.80078125,\n",
-       "     -2357.8154296875,\n",
-       "     39088.7265625,\n",
-       "     41926.2734375,\n",
-       "     24192.912109375,\n",
-       "     27245.076171875,\n",
-       "     31805.767578125,\n",
-       "     40269.24609375,\n",
-       "     52790.359375,\n",
-       "     38112.44140625,\n",
-       "     76038.140625,\n",
-       "     39811.79296875,\n",
-       "     16408.17578125,\n",
-       "     9079.255859375,\n",
-       "     28238.001953125,\n",
-       "     22798.958984375,\n",
-       "     17301.541015625,\n",
-       "     47389.671875,\n",
-       "     45542.71484375,\n",
-       "     8121.85546875,\n",
-       "     14709.470703125,\n",
-       "     40114.25,\n",
-       "     13023.8046875,\n",
-       "     17303.537109375,\n",
-       "     20504.427734375,\n",
-       "     59134.7421875,\n",
-       "     98947.515625,\n",
-       "     20604.83984375,\n",
-       "     17999.369140625,\n",
-       "     159709.203125,\n",
-       "     15345.5771484375,\n",
-       "     16601.287109375,\n",
-       "     247105.734375,\n",
-       "     19922.265625,\n",
-       "     10712.26171875,\n",
-       "     13640.35546875,\n",
-       "     225671.484375,\n",
-       "     81476.265625,\n",
-       "     28551.740234375,\n",
-       "     13907.29296875,\n",
-       "     15947.091796875,\n",
-       "     56296.94921875,\n",
-       "     54105.33203125,\n",
-       "     22895.619140625,\n",
-       "     72516.3828125,\n",
-       "     37996.1875,\n",
-       "     36104.72265625,\n",
-       "     61934.015625,\n",
-       "     33127.8984375,\n",
-       "     39637.23046875,\n",
-       "     20767.580078125,\n",
-       "     34611.37890625,\n",
-       "     65076.65234375,\n",
-       "     15319.5947265625,\n",
-       "     21051.16796875,\n",
-       "     36979.61328125,\n",
-       "     31142.58984375,\n",
-       "     33127.40234375,\n",
-       "     14623.556640625,\n",
-       "     33696.6796875,\n",
-       "     20216.330078125,\n",
-       "     54366.6171875,\n",
-       "     11743.3720703125,\n",
-       "     53807.26171875,\n",
-       "     28560.58203125,\n",
-       "     2931.02490234375,\n",
-       "     29221.314453125,\n",
-       "     45170.7109375,\n",
-       "     109635.8984375,\n",
-       "     316855.375,\n",
-       "     13937.6279296875,\n",
-       "     2153.59375,\n",
-       "     28363.201171875,\n",
-       "     93682.4375,\n",
-       "     29307.89453125,\n",
-       "     39436.43359375,\n",
-       "     53134.70703125,\n",
-       "     65913.8046875,\n",
-       "     26821.107421875,\n",
-       "     42627.796875,\n",
-       "     37928.48046875,\n",
-       "     83130.1171875,\n",
-       "     43184.00390625,\n",
-       "     163849.03125,\n",
-       "     37655.34765625,\n",
-       "     31983.373046875,\n",
-       "     38660.98046875,\n",
-       "     14731.21484375,\n",
-       "     35525.08203125,\n",
-       "     23297.537109375,\n",
-       "     62699.0625,\n",
-       "     25515.904296875,\n",
-       "     36228.21875,\n",
-       "     12868.439453125,\n",
-       "     14995.2431640625,\n",
-       "     26728.060546875,\n",
-       "     47194.2578125,\n",
-       "     93494.2109375,\n",
-       "     29981.525390625,\n",
-       "     56074.23046875,\n",
-       "     24202.115234375,\n",
-       "     19933.943359375,\n",
-       "     37409.5625,\n",
-       "     44506.875,\n",
-       "     31104.216796875,\n",
-       "     43985.0,\n",
-       "     33936.59765625,\n",
-       "     65855.8046875,\n",
-       "     37247.140625,\n",
-       "     43182.4375,\n",
-       "     55756.03125,\n",
-       "     25467.625,\n",
-       "     23343.6953125,\n",
-       "     42640.640625,\n",
-       "     39582.671875,\n",
-       "     94872.5546875,\n",
-       "     39044.38671875,\n",
-       "     12448.302734375,\n",
-       "     16616.28515625,\n",
-       "     6275.2900390625,\n",
-       "     26355.302734375,\n",
-       "     19625.673828125,\n",
-       "     31010.333984375,\n",
-       "     13195.3193359375,\n",
-       "     14254.9775390625,\n",
-       "     43346.359375,\n",
-       "     17338.513671875,\n",
-       "     55008.265625,\n",
-       "     38484.421875,\n",
-       "     34279.21875,\n",
-       "     43307.93359375,\n",
-       "     10254.0078125,\n",
-       "     28747.146484375,\n",
-       "     22420.833984375,\n",
-       "     101436.125,\n",
-       "     42817.6015625,\n",
-       "     10517.216796875,\n",
-       "     14571.1025390625,\n",
-       "     30616.111328125,\n",
-       "     77278.4375,\n",
-       "     8668.673828125,\n",
-       "     42562.12109375,\n",
-       "     20474.3359375,\n",
-       "     13592.9658203125,\n",
-       "     25364.431640625,\n",
-       "     49549.8515625,\n",
-       "     9970.51953125,\n",
-       "     23426.052734375,\n",
-       "     22873.0234375,\n",
-       "     43783.6953125,\n",
-       "     16653.173828125,\n",
-       "     45121.99609375,\n",
-       "     36034.15234375,\n",
-       "     14799.201171875,\n",
-       "     49377.890625,\n",
-       "     32652.716796875,\n",
-       "     44287.9609375,\n",
-       "     21811.62890625,\n",
-       "     27189.7578125,\n",
-       "     66434.546875,\n",
-       "     37962.953125,\n",
-       "     50144.54296875,\n",
-       "     45770.1953125,\n",
-       "     26521.69921875,\n",
-       "     -6197.93310546875,\n",
-       "     14608.958984375,\n",
-       "     12817.646484375,\n",
-       "     18482.640625,\n",
-       "     116223.8671875,\n",
-       "     39697.8671875,\n",
-       "     24945.57421875,\n",
-       "     60881.02734375,\n",
-       "     5318.83203125,\n",
-       "     18722.62109375,\n",
-       "     23413.66796875,\n",
-       "     18665.654296875,\n",
-       "     8492.4462890625,\n",
-       "     23181.626953125,\n",
-       "     7410.8515625,\n",
-       "     53067.80859375,\n",
-       "     42139.5,\n",
-       "     23850.513671875,\n",
-       "     17202.611328125,\n",
-       "     32866.73046875,\n",
-       "     53617.3828125,\n",
-       "     18637.4296875,\n",
-       "     27981.734375,\n",
-       "     14424.9921875,\n",
-       "     71803.953125,\n",
-       "     27492.69921875,\n",
-       "     38381.6171875,\n",
-       "     37238.90234375,\n",
-       "     30328.294921875,\n",
-       "     29515.263671875,\n",
-       "     11764.9130859375,\n",
-       "     54711.28125,\n",
-       "     8986.0439453125,\n",
-       "     7532.173828125,\n",
-       "     12482.126953125,\n",
-       "     46031.421875,\n",
-       "     47589.80859375,\n",
-       "     45036.5625,\n",
-       "     45089.55078125,\n",
-       "     18192.373046875,\n",
-       "     34874.015625,\n",
-       "     23810.37109375,\n",
-       "     34507.3515625,\n",
-       "     14662.171875,\n",
-       "     49253.0,\n",
-       "     30346.115234375,\n",
-       "     23246.025390625,\n",
-       "     19994.828125,\n",
-       "     12682.2431640625,\n",
-       "     35959.77734375,\n",
-       "     27093.169921875,\n",
-       "     14592.029296875,\n",
-       "     85743.5,\n",
-       "     31780.89453125,\n",
-       "     119075.3359375,\n",
-       "     18675.29296875,\n",
-       "     88273.328125,\n",
-       "     26406.54296875,\n",
-       "     12437.9423828125,\n",
-       "     24493.697265625,\n",
-       "     18784.681640625,\n",
-       "     18816.6875,\n",
-       "     16649.91015625,\n",
-       "     56628.578125,\n",
-       "     17129.552734375,\n",
-       "     49142.50390625,\n",
-       "     18040.4921875,\n",
-       "     32302.802734375,\n",
-       "     33008.5625,\n",
-       "     53630.94140625,\n",
-       "     63800.2578125,\n",
-       "     784.814453125,\n",
-       "     23845.146484375,\n",
-       "     25201.677734375,\n",
-       "     19078.2421875,\n",
-       "     28730.771484375,\n",
-       "     39621.2265625,\n",
-       "     43758.3046875,\n",
-       "     20053.666015625,\n",
-       "     20522.232421875,\n",
-       "     66752.7265625,\n",
-       "     47923.5234375,\n",
-       "     20228.052734375,\n",
-       "     54537.859375,\n",
-       "     6707.26025390625,\n",
-       "     27683.369140625,\n",
-       "     28768.310546875,\n",
-       "     58807.0546875,\n",
-       "     33338.66015625,\n",
-       "     46597.4765625,\n",
-       "     4737.23388671875,\n",
-       "     51162.7578125,\n",
-       "     7003.6923828125,\n",
-       "     28688.521484375,\n",
-       "     17166.03125,\n",
-       "     24603.548828125,\n",
-       "     61470.32421875,\n",
-       "     44951.47265625,\n",
-       "     27131.701171875,\n",
-       "     12944.48828125,\n",
-       "     32952.13671875,\n",
-       "     29122.7734375,\n",
-       "     58167.84375,\n",
-       "     4317.85498046875,\n",
-       "     51374.984375,\n",
-       "     36237.7578125,\n",
-       "     38506.4296875,\n",
-       "     9771.4931640625,\n",
-       "     -1644.28271484375,\n",
-       "     27923.158203125,\n",
-       "     42184.578125,\n",
-       "     14210.12109375,\n",
-       "     49270.84375,\n",
-       "     88079.9921875,\n",
-       "     70045.4375,\n",
-       "     63858.03515625,\n",
-       "     66405.203125,\n",
-       "     16148.2568359375,\n",
-       "     31819.5546875,\n",
-       "     20797.1875,\n",
-       "     48348.96484375,\n",
-       "     87744.53125,\n",
-       "     65465.796875,\n",
-       "     25453.822265625,\n",
-       "     23907.83984375,\n",
-       "     36507.546875,\n",
-       "     74979.7734375,\n",
-       "     24520.21875,\n",
-       "     15895.892578125,\n",
-       "     4315.546875,\n",
-       "     26328.6953125,\n",
-       "     41018.11328125,\n",
-       "     44666.06640625,\n",
-       "     6244.5185546875,\n",
-       "     18102.388671875,\n",
-       "     53116.94140625,\n",
-       "     31358.6484375,\n",
-       "     24436.38671875,\n",
-       "     20546.333984375,\n",
-       "     23356.197265625,\n",
-       "     41748.65234375,\n",
-       "     56526.02734375,\n",
-       "     54513.109375,\n",
-       "     12832.828125,\n",
-       "     -792.3766479492188,\n",
-       "     29505.078125,\n",
-       "     37869.015625,\n",
-       "     29778.3125,\n",
-       "     39833.93359375,\n",
-       "     9318.8291015625,\n",
-       "     10148.1396484375,\n",
-       "     36949.359375,\n",
-       "     25564.44140625,\n",
-       "     38006.77734375,\n",
-       "     23252.044921875,\n",
-       "     29516.09765625,\n",
-       "     19197.04296875,\n",
-       "     41064.71875,\n",
-       "     31453.62109375,\n",
-       "     20698.7421875,\n",
-       "     58318.9140625,\n",
-       "     7440.6337890625,\n",
-       "     51359.6015625,\n",
-       "     28448.42578125,\n",
-       "     14908.603515625,\n",
-       "     5678.89599609375,\n",
-       "     16205.9091796875,\n",
-       "     30300.75,\n",
-       "     37340.3046875,\n",
-       "     21507.98828125,\n",
-       "     24167.09765625,\n",
-       "     26387.458984375,\n",
-       "     13952.1025390625,\n",
-       "     11261.869140625,\n",
-       "     12772.56640625,\n",
-       "     85620.8828125,\n",
-       "     101830.5390625,\n",
-       "     15804.052734375,\n",
-       "     47372.75390625,\n",
-       "     27068.123046875,\n",
-       "     9140.7919921875,\n",
-       "     53026.14453125,\n",
-       "     45028.69140625,\n",
-       "     13666.92578125,\n",
-       "     48914.328125,\n",
-       "     34990.1015625,\n",
-       "     58522.34375,\n",
-       "     27089.173828125,\n",
-       "     30523.048828125,\n",
-       "     65872.9140625,\n",
-       "     34892.1484375,\n",
-       "     31846.259765625,\n",
-       "     12395.0458984375,\n",
-       "     20225.3671875,\n",
-       "     184385.484375,\n",
-       "     58707.4453125,\n",
-       "     29242.97265625,\n",
-       "     7414.08056640625,\n",
-       "     59713.8515625,\n",
-       "     18101.66796875,\n",
-       "     49745.9453125,\n",
-       "     3278.4794921875,\n",
-       "     25003.451171875,\n",
-       "     32957.21484375,\n",
-       "     14118.3828125,\n",
-       "     90581.1015625,\n",
-       "     14515.5791015625,\n",
-       "     37489.3203125,\n",
-       "     12504.7041015625,\n",
-       "     11300.720703125,\n",
-       "     83288.578125,\n",
-       "     16281.306640625,\n",
-       "     20326.5234375,\n",
-       "     33706.3984375,\n",
-       "     74855.6875,\n",
-       "     57880.84375,\n",
-       "     85738.1015625,\n",
-       "     25264.890625,\n",
-       "     41754.796875,\n",
-       "     78207.6015625,\n",
-       "     68069.359375,\n",
-       "     17386.11328125,\n",
-       "     15225.3583984375,\n",
-       "     35514.1484375,\n",
-       "     20306.470703125,\n",
-       "     27048.25390625,\n",
-       "     4893.0693359375,\n",
-       "     38099.01953125,\n",
-       "     36059.703125,\n",
-       "     23529.447265625,\n",
-       "     38377.1875,\n",
-       "     43713.9375,\n",
-       "     36013.2734375,\n",
-       "     22285.546875,\n",
-       "     22419.544921875,\n",
-       "     17617.974609375,\n",
-       "     78061.2734375,\n",
-       "     37903.625,\n",
-       "     33228.14453125,\n",
-       "     11110.9140625,\n",
-       "     25799.072265625,\n",
-       "     28090.86328125,\n",
-       "     23351.6875,\n",
-       "     22969.412109375,\n",
-       "     28933.8828125,\n",
-       "     57645.609375,\n",
-       "     44837.1796875,\n",
-       "     30888.240234375,\n",
-       "     46319.32421875,\n",
-       "     35788.3203125,\n",
-       "     30006.201171875,\n",
-       "     33175.734375,\n",
-       "     15046.4326171875,\n",
-       "     45716.5625,\n",
-       "     29801.908203125,\n",
-       "     25115.400390625,\n",
-       "     48331.67578125,\n",
-       "     50427.67578125,\n",
-       "     41796.2578125,\n",
-       "     15541.6435546875,\n",
-       "     10752.83203125,\n",
-       "     165802.65625,\n",
-       "     36483.609375,\n",
-       "     43690.75390625,\n",
-       "     18202.853515625,\n",
-       "     57241.4296875,\n",
-       "     26884.689453125,\n",
-       "     14920.4912109375,\n",
-       "     25258.953125,\n",
-       "     22343.623046875,\n",
-       "     16612.43359375,\n",
-       "     23466.1328125,\n",
-       "     79493.5,\n",
-       "     43651.578125,\n",
-       "     22556.2578125,\n",
-       "     34778.34375,\n",
-       "     25830.61328125,\n",
-       "     22758.439453125,\n",
-       "     5451.93408203125,\n",
-       "     33857.515625,\n",
-       "     8252.1015625,\n",
-       "     30842.009765625,\n",
-       "     32963.51953125,\n",
-       "     60793.8203125,\n",
-       "     43073.984375,\n",
-       "     26013.9921875,\n",
-       "     36117.046875,\n",
-       "     30540.87109375,\n",
-       "     22386.880859375,\n",
-       "     44903.4921875,\n",
-       "     70017.3125,\n",
-       "     23436.537109375,\n",
-       "     50410.8359375,\n",
-       "     35373.50390625,\n",
-       "     36039.640625,\n",
-       "     17873.18359375,\n",
-       "     20778.88671875,\n",
-       "     93413.3515625,\n",
-       "     102845.3203125,\n",
-       "     27863.84375,\n",
-       "     36127.82421875,\n",
-       "     17154.263671875,\n",
-       "     24221.40625,\n",
-       "     26561.56640625,\n",
-       "     76981.703125,\n",
-       "     23874.271484375,\n",
-       "     -1615.9718017578125,\n",
-       "     16799.119140625,\n",
-       "     13872.1416015625,\n",
-       "     29663.61328125,\n",
-       "     40424.08203125,\n",
-       "     4962.96875,\n",
-       "     64355.9609375,\n",
-       "     13733.1884765625,\n",
-       "     31397.859375,\n",
-       "     8555.2763671875,\n",
-       "     58236.171875,\n",
-       "     48424.5625,\n",
-       "     26321.439453125,\n",
-       "     44824.77734375,\n",
-       "     13355.7529296875,\n",
-       "     12123.822265625,\n",
-       "     25941.162109375,\n",
-       "     15988.8388671875,\n",
-       "     56277.58984375,\n",
-       "     30911.49609375,\n",
-       "     37916.1015625,\n",
-       "     17440.96875,\n",
-       "     36271.80859375,\n",
-       "     20793.876953125,\n",
-       "     45610.49609375,\n",
-       "     5558.8203125,\n",
-       "     33343.953125,\n",
-       "     13231.47265625,\n",
-       "     25103.853515625,\n",
-       "     32936.6328125,\n",
-       "     48875.15625,\n",
-       "     11804.5087890625,\n",
-       "     26090.37109375,\n",
-       "     19392.08984375,\n",
-       "     28674.189453125,\n",
-       "     32070.3046875,\n",
-       "     14257.025390625,\n",
-       "     37311.34765625,\n",
-       "     107163.1875,\n",
-       "     62488.0078125,\n",
-       "     50284.09375,\n",
-       "     39238.19140625,\n",
-       "     32204.1796875,\n",
-       "     19523.6171875,\n",
-       "     29975.720703125,\n",
-       "     16042.4814453125,\n",
-       "     23819.400390625,\n",
-       "     -1925.006103515625,\n",
-       "     16447.798828125,\n",
-       "     44308.46484375,\n",
-       "     43619.296875,\n",
-       "     19156.98828125,\n",
-       "     7492.453125,\n",
-       "     29280.53515625,\n",
-       "     12819.9794921875,\n",
-       "     22664.0859375,\n",
-       "     69761.015625,\n",
-       "     14535.3544921875,\n",
-       "     25802.1015625,\n",
-       "     83275.9375,\n",
-       "     41495.890625,\n",
-       "     34835.11328125,\n",
-       "     22540.29296875,\n",
-       "     29048.76953125,\n",
-       "     10953.4326171875,\n",
-       "     21397.474609375,\n",
-       "     26326.61328125,\n",
-       "     111589.75,\n",
-       "     33014.65234375,\n",
-       "     52871.390625,\n",
-       "     22436.779296875,\n",
-       "     53535.0078125,\n",
-       "     29324.517578125,\n",
-       "     44941.04296875,\n",
-       "     33902.55859375,\n",
-       "     17083.828125,\n",
-       "     29809.63671875,\n",
-       "     27281.75390625,\n",
-       "     21684.150390625,\n",
-       "     112403.75,\n",
-       "     -2138.056640625,\n",
-       "     14898.3486328125,\n",
-       "     9415.193359375,\n",
-       "     25898.125,\n",
-       "     32374.02734375,\n",
-       "     13452.158203125,\n",
-       "     18496.826171875,\n",
-       "     25087.12109375,\n",
-       "     20784.705078125,\n",
-       "     18147.939453125,\n",
-       "     30693.2890625,\n",
-       "     35289.1796875,\n",
-       "     45590.9453125,\n",
-       "     61605.2890625,\n",
-       "     50607.04296875,\n",
-       "     17697.06640625,\n",
-       "     20223.3125,\n",
-       "     37881.5390625,\n",
-       "     16098.6103515625,\n",
-       "     139717.875,\n",
-       "     127699.5234375,\n",
-       "     29061.451171875,\n",
-       "     27484.91015625,\n",
-       "     30105.51171875,\n",
-       "     29637.55859375,\n",
-       "     54936.13671875,\n",
-       "     37266.41015625,\n",
-       "     21377.71875,\n",
-       "     47959.35546875,\n",
-       "     114339.5625,\n",
-       "     36787.16796875,\n",
-       "     212275.28125,\n",
-       "     20259.96875,\n",
-       "     41261.48828125,\n",
-       "     30673.759765625,\n",
-       "     8387.8349609375,\n",
-       "     27138.552734375,\n",
-       "     4058.3984375,\n",
-       "     42021.40625,\n",
-       "     31963.03125,\n",
-       "     26259.359375,\n",
-       "     24866.9140625,\n",
-       "     28586.48828125,\n",
-       "     75037.921875,\n",
-       "     31767.693359375,\n",
-       "     32050.4453125,\n",
-       "     52963.28515625,\n",
-       "     13658.0615234375,\n",
-       "     19319.8984375,\n",
-       "     23271.291015625,\n",
-       "     26380.630859375,\n",
-       "     19319.82421875,\n",
-       "     25429.947265625,\n",
-       "     53831.73046875,\n",
-       "     21362.1640625,\n",
-       "     15300.421875,\n",
-       "     35388.078125,\n",
-       "     53019.0234375,\n",
-       "     32513.4609375,\n",
-       "     29751.576171875,\n",
-       "     13146.28125,\n",
-       "     3122.890869140625,\n",
-       "     66132.625,\n",
-       "     15539.8134765625,\n",
-       "     30070.98828125,\n",
-       "     39296.5625,\n",
-       "     41056.796875,\n",
-       "     85657.9609375,\n",
-       "     70165.3671875,\n",
-       "     -180.17051696777344,\n",
-       "     25807.58984375,\n",
-       "     24358.892578125,\n",
-       "     24472.259765625,\n",
-       "     30045.8671875,\n",
-       "     96428.6796875,\n",
-       "     37655.984375,\n",
-       "     16049.3896484375,\n",
-       "     42416.84765625,\n",
-       "     20409.701171875,\n",
-       "     19889.140625,\n",
-       "     16967.33984375,\n",
-       "     4545.45703125,\n",
-       "     10306.2958984375,\n",
-       "     -4117.87939453125,\n",
-       "     28499.060546875,\n",
-       "     22129.21875,\n",
-       "     19860.50390625,\n",
-       "     44325.02734375,\n",
-       "     55448.0859375,\n",
-       "     27727.015625,\n",
-       "     18130.427734375,\n",
-       "     10583.7568359375,\n",
-       "     75271.2890625,\n",
-       "     19189.17578125,\n",
-       "     10913.0751953125,\n",
-       "     78950.5625,\n",
-       "     27205.94921875,\n",
-       "     71770.90625,\n",
-       "     38644.265625,\n",
-       "     54082.64453125,\n",
-       "     67882.5078125,\n",
-       "     6371.166015625,\n",
-       "     62952.44921875,\n",
-       "     15155.853515625,\n",
-       "     16380.400390625,\n",
-       "     32702.634765625,\n",
-       "     14332.3427734375,\n",
-       "     24194.193359375,\n",
-       "     12522.7763671875,\n",
-       "     26822.65625,\n",
-       "     15087.240234375,\n",
-       "     25270.4296875,\n",
-       "     47267.6328125,\n",
-       "     25293.400390625,\n",
-       "     40380.73828125,\n",
-       "     11508.037109375,\n",
-       "     23334.806640625,\n",
-       "     26666.826171875,\n",
-       "     46631.0078125,\n",
-       "     30362.708984375,\n",
-       "     59173.203125,\n",
-       "     92375.875,\n",
-       "     51.448081970214844,\n",
-       "     58943.23828125,\n",
-       "     27044.30859375,\n",
-       "     9362.609375,\n",
-       "     13975.076171875,\n",
-       "     68694.8671875,\n",
-       "     19054.07421875,\n",
-       "     48360.7421875,\n",
-       "     24019.640625,\n",
-       "     96129.375,\n",
-       "     20451.833984375,\n",
-       "     9228.568359375,\n",
-       "     46085.9375,\n",
-       "     28294.591796875,\n",
-       "     14338.4853515625,\n",
-       "     19786.79296875,\n",
-       "     15348.2412109375,\n",
-       "     40730.8984375,\n",
-       "     18072.572265625,\n",
-       "     59953.1015625,\n",
-       "     25484.669921875,\n",
-       "     5024.96923828125,\n",
-       "     12809.869140625,\n",
-       "     40208.265625,\n",
-       "     30859.478515625,\n",
-       "     16199.4306640625,\n",
-       "     16114.3564453125,\n",
-       "     38704.80859375,\n",
-       "     21763.607421875,\n",
-       "     20888.189453125,\n",
-       "     32577.404296875,\n",
-       "     31947.0390625,\n",
-       "     46900.8515625,\n",
-       "     24425.126953125,\n",
-       "     42139.09375,\n",
-       "     17819.859375,\n",
-       "     30276.599609375,\n",
-       "     30860.060546875,\n",
-       "     35473.97265625,\n",
-       "     27726.275390625,\n",
-       "     31756.41796875,\n",
-       "     31732.080078125,\n",
-       "     8368.32421875,\n",
-       "     15367.4140625,\n",
-       "     -1459.6654052734375,\n",
-       "     16226.6796875,\n",
-       "     22996.201171875,\n",
-       "     23494.458984375,\n",
-       "     53217.1875,\n",
-       "     28052.361328125,\n",
-       "     62296.34765625,\n",
-       "     14956.197265625,\n",
-       "     50714.484375,\n",
-       "     9839.55078125,\n",
-       "     65650.0234375,\n",
-       "     39717.01171875,\n",
-       "     71768.828125,\n",
-       "     47548.41796875,\n",
-       "     58391.0,\n",
-       "     30451.890625,\n",
-       "     16345.4794921875,\n",
-       "     65415.3359375,\n",
-       "     18550.34375,\n",
-       "     39127.25390625,\n",
-       "     2135.538818359375,\n",
-       "     30820.69921875,\n",
-       "     38631.4609375,\n",
-       "     53259.1171875,\n",
-       "     46533.03125,\n",
-       "     42467.63671875,\n",
-       "     50009.27734375,\n",
-       "     62602.9609375,\n",
-       "     -14764.322265625,\n",
-       "     43914.11328125,\n",
-       "     56603.05859375,\n",
-       "     39967.90234375,\n",
-       "     24632.3671875,\n",
-       "     50500.9375,\n",
-       "     53159.34765625,\n",
-       "     25874.40234375,\n",
-       "     29759.208984375,\n",
-       "     28191.326171875,\n",
-       "     16496.962890625,\n",
-       "     54421.89453125,\n",
-       "     25606.080078125,\n",
-       "     67049.046875,\n",
-       "     24640.759765625,\n",
-       "     19949.849609375,\n",
-       "     22977.603515625,\n",
-       "     33110.2890625,\n",
-       "     44441.46484375,\n",
-       "     17700.796875,\n",
-       "     40687.84375,\n",
-       "     11453.2607421875,\n",
-       "     74855.3671875,\n",
-       "     26719.123046875,\n",
-       "     49446.4453125,\n",
-       "     56087.0625,\n",
-       "     21868.412109375,\n",
-       "     26760.509765625,\n",
-       "     38107.1171875,\n",
-       "     28325.751953125,\n",
-       "     34561.515625,\n",
-       "     21858.865234375,\n",
-       "     16667.521484375,\n",
-       "     10488.865234375,\n",
-       "     44030.8671875,\n",
-       "     41608.1484375,\n",
-       "     21066.318359375,\n",
-       "     27940.359375,\n",
-       "     14811.33984375,\n",
-       "     18315.005859375,\n",
-       "     30823.646484375,\n",
-       "     27949.712890625,\n",
-       "     21993.978515625,\n",
-       "     8649.9384765625,\n",
-       "     11661.9658203125,\n",
-       "     44993.0546875,\n",
-       "     28194.365234375,\n",
-       "     10455.876953125,\n",
-       "     38569.35546875,\n",
-       "     -1186.7822265625,\n",
-       "     13953.154296875,\n",
-       "     67316.296875,\n",
-       "     10534.1181640625,\n",
-       "     30649.626953125,\n",
-       "     36713.5390625,\n",
-       "     18077.931640625,\n",
-       "     21595.51171875,\n",
-       "     43438.6015625,\n",
-       "     20202.908203125,\n",
-       "     44239.81640625,\n",
-       "     -1273.9400634765625,\n",
-       "     25072.08984375,\n",
-       "     64521.859375,\n",
-       "     62752.5859375,\n",
-       "     56234.7890625,\n",
-       "     18445.2578125,\n",
-       "     26930.767578125,\n",
-       "     33451.7578125,\n",
-       "     24272.9609375,\n",
-       "     102411.421875,\n",
-       "     38791.65234375,\n",
-       "     461.5087890625,\n",
-       "     17670.892578125,\n",
-       "     18847.556640625,\n",
-       "     17711.14453125,\n",
-       "     56651.421875,\n",
-       "     67058.5859375,\n",
-       "     79814.296875,\n",
-       "     33632.27734375,\n",
-       "     90223.390625,\n",
-       "     29939.85546875,\n",
-       "     35369.72265625,\n",
-       "     46388.28125,\n",
-       "     48631.51953125,\n",
-       "     35594.921875,\n",
-       "     30177.19140625,\n",
-       "     15207.3515625,\n",
-       "     17397.818359375,\n",
-       "     20977.091796875,\n",
-       "     29226.65625,\n",
-       "     5847.40869140625,\n",
-       "     22272.18359375,\n",
-       "     14584.759765625,\n",
-       "     48875.7578125,\n",
-       "     5823.2275390625,\n",
-       "     35036.7890625,\n",
-       "     -3955.75146484375,\n",
-       "     41414.6015625,\n",
-       "     23248.951171875,\n",
-       "     59937.37109375,\n",
-       "     20471.45703125,\n",
-       "     14843.423828125,\n",
-       "     29704.974609375,\n",
-       "     13539.671875,\n",
-       "     27670.732421875,\n",
-       "     34542.73828125,\n",
-       "     28786.330078125,\n",
-       "     36790.203125,\n",
-       "     13895.251953125,\n",
-       "     33641.1328125,\n",
-       "     40596.91015625,\n",
-       "     30623.63671875,\n",
-       "     39850.9453125,\n",
-       "     7932.80859375,\n",
-       "     13869.248046875,\n",
-       "     8058.07666015625,\n",
-       "     57953.3203125,\n",
-       "     43571.48046875,\n",
-       "     32371.4765625,\n",
-       "     15622.8408203125,\n",
-       "     29079.02734375,\n",
-       "     31264.64453125,\n",
-       "     37622.62109375,\n",
-       "     -237.3134307861328,\n",
-       "     14291.69140625,\n",
-       "     13674.810546875,\n",
-       "     60082.73828125,\n",
-       "     17073.72265625,\n",
-       "     27127.5625,\n",
-       "     30895.611328125,\n",
-       "     44252.69921875,\n",
-       "     22301.18359375,\n",
-       "     13103.2685546875,\n",
-       "     49708.484375,\n",
-       "     22398.3828125,\n",
-       "     26104.982421875,\n",
-       "     22824.251953125,\n",
-       "     24146.203125,\n",
-       "     54125.02734375,\n",
-       "     27537.630859375,\n",
-       "     52702.76953125,\n",
-       "     26993.50390625,\n",
-       "     33609.140625,\n",
-       "     24234.146484375,\n",
-       "     17092.29296875,\n",
-       "     9484.90625,\n",
-       "     37887.20703125,\n",
-       "     12926.9990234375,\n",
-       "     14153.3037109375,\n",
-       "     27421.478515625,\n",
-       "     38240.7734375,\n",
-       "     11423.01953125,\n",
-       "     29741.29296875,\n",
-       "     33518.7421875,\n",
-       "     19630.095703125,\n",
-       "     46122.6640625,\n",
-       "     42986.69921875,\n",
-       "     60603.26953125,\n",
-       "     78077.4296875,\n",
-       "     25348.595703125,\n",
-       "     141768.359375,\n",
-       "     17419.865234375,\n",
-       "     37214.04296875,\n",
-       "     47550.546875,\n",
-       "     2555.774169921875,\n",
-       "     40797.83984375,\n",
-       "     15770.1630859375,\n",
-       "     34715.9921875,\n",
-       "     90438.25,\n",
-       "     13393.873046875,\n",
-       "     77990.96875,\n",
-       "     28253.08203125,\n",
-       "     23729.84765625,\n",
-       "     50501.671875,\n",
-       "     21267.103515625,\n",
-       "     155358.1875,\n",
-       "     13866.76171875,\n",
-       "     44408.0390625,\n",
-       "     21167.71484375,\n",
-       "     26000.4453125,\n",
-       "     15726.8447265625,\n",
-       "     40251.81640625,\n",
-       "     14443.916015625,\n",
-       "     29918.015625,\n",
-       "     24050.12890625,\n",
-       "     2930.2978515625,\n",
-       "     14414.0498046875,\n",
-       "     53461.49609375,\n",
-       "     50449.61328125,\n",
-       "     15071.6865234375,\n",
-       "     9702.8671875,\n",
-       "     63421.1484375,\n",
-       "     37510.3203125,\n",
-       "     30571.134765625,\n",
-       "     85649.0,\n",
-       "     36468.55078125,\n",
-       "     35352.84765625,\n",
-       "     90344.46875,\n",
-       "     35668.69921875,\n",
-       "     59159.109375,\n",
-       "     59364.3359375,\n",
-       "     61604.01953125,\n",
-       "     47466.28515625,\n",
-       "     30050.30859375,\n",
-       "     18882.083984375,\n",
-       "     14498.7373046875,\n",
-       "     28538.6875,\n",
-       "     ...],\n",
-       "    'household_income_decile': [4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     8,\n",
-       "     3,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     6,\n",
-       "     6,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     8,\n",
-       "     -1,\n",
-       "     7,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     3,\n",
-       "     -1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     7,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     10,\n",
-       "     9,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     8,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     3,\n",
-       "     1,\n",
-       "     7,\n",
-       "     2,\n",
-       "     3,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     10,\n",
-       "     10,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     4,\n",
-       "     2,\n",
-       "     7,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     10,\n",
-       "     5,\n",
-       "     10,\n",
-       "     4,\n",
-       "     9,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     7,\n",
-       "     6,\n",
-       "     8,\n",
-       "     4,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     7,\n",
-       "     6,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     9,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     8,\n",
-       "     2,\n",
-       "     -1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     4,\n",
-       "     2,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     5,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     10,\n",
-       "     2,\n",
-       "     8,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     4,\n",
-       "     5,\n",
-       "     3,\n",
-       "     8,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     9,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     3,\n",
-       "     7,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     6,\n",
-       "     3,\n",
-       "     8,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     5,\n",
-       "     9,\n",
-       "     9,\n",
-       "     8,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     8,\n",
-       "     9,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     7,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     6,\n",
-       "     6,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     3,\n",
-       "     6,\n",
-       "     1,\n",
-       "     8,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     10,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     7,\n",
-       "     7,\n",
-       "     1,\n",
-       "     6,\n",
-       "     3,\n",
-       "     9,\n",
-       "     2,\n",
-       "     2,\n",
-       "     10,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     10,\n",
-       "     9,\n",
-       "     6,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     9,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     7,\n",
-       "     6,\n",
-       "     10,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     7,\n",
-       "     4,\n",
-       "     3,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     8,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     7,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     9,\n",
-       "     10,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     9,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     3,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     7,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     6,\n",
-       "     9,\n",
-       "     6,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     2,\n",
-       "     8,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     10,\n",
-       "     3,\n",
-       "     5,\n",
-       "     3,\n",
-       "     8,\n",
-       "     2,\n",
-       "     7,\n",
-       "     6,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     6,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     10,\n",
-       "     10,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     6,\n",
-       "     5,\n",
-       "     1,\n",
-       "     8,\n",
-       "     8,\n",
-       "     4,\n",
-       "     10,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     7,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     9,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     10,\n",
-       "     9,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     9,\n",
-       "     1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     9,\n",
-       "     4,\n",
-       "     7,\n",
-       "     8,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     4,\n",
-       "     10,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     10,\n",
-       "     4,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     8,\n",
-       "     4,\n",
-       "     10,\n",
-       "     5,\n",
-       "     6,\n",
-       "     2,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     8,\n",
-       "     7,\n",
-       "     2,\n",
-       "     6,\n",
-       "     6,\n",
-       "     -1,\n",
-       "     2,\n",
-       "     6,\n",
-       "     8,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     8,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     9,\n",
-       "     3,\n",
-       "     5,\n",
-       "     6,\n",
-       "     1,\n",
-       "     4,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     4,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     8,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     6,\n",
-       "     -1,\n",
-       "     2,\n",
-       "     7,\n",
-       "     4,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     9,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     7,\n",
-       "     8,\n",
-       "     5,\n",
-       "     10,\n",
-       "     2,\n",
-       "     1,\n",
-       "     6,\n",
-       "     9,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     -1,\n",
-       "     8,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     7,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     -1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     9,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     6,\n",
-       "     5,\n",
-       "     9,\n",
-       "     8,\n",
-       "     2,\n",
-       "     10,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     10,\n",
-       "     1,\n",
-       "     8,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     10,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     7,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     6,\n",
-       "     4,\n",
-       "     1,\n",
-       "     8,\n",
-       "     3,\n",
-       "     5,\n",
-       "     9,\n",
-       "     5,\n",
-       "     4,\n",
-       "     6,\n",
-       "     7,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     ...],\n",
-       "    'household_market_income': [60994.5625,\n",
-       "     0.0,\n",
-       "     18010.205078125,\n",
-       "     0.0,\n",
-       "     373717.65625,\n",
-       "     26749.30078125,\n",
-       "     69821.921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     52528.16015625,\n",
-       "     146368.4375,\n",
-       "     39185.9609375,\n",
-       "     67567.671875,\n",
-       "     10514.4208984375,\n",
-       "     27047.498046875,\n",
-       "     51374.58984375,\n",
-       "     26812.302734375,\n",
-       "     106063.8203125,\n",
-       "     94472.2109375,\n",
-       "     30842.599609375,\n",
-       "     99296.265625,\n",
-       "     23713.4375,\n",
-       "     101794.2578125,\n",
-       "     0.0,\n",
-       "     58362.53125,\n",
-       "     3544.39794921875,\n",
-       "     22040.716796875,\n",
-       "     117900.046875,\n",
-       "     46433.984375,\n",
-       "     29057.640625,\n",
-       "     2313.760498046875,\n",
-       "     8525.25390625,\n",
-       "     103453.3203125,\n",
-       "     136669.625,\n",
-       "     5078.99462890625,\n",
-       "     105974.7421875,\n",
-       "     29681.6875,\n",
-       "     2794.124267578125,\n",
-       "     2.351956367492676,\n",
-       "     36287.5859375,\n",
-       "     56010.59375,\n",
-       "     24493.87890625,\n",
-       "     36788.27734375,\n",
-       "     44295.5703125,\n",
-       "     52423.15234375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     963.843505859375,\n",
-       "     72829.4296875,\n",
-       "     41371.1015625,\n",
-       "     0.0,\n",
-       "     54511.30078125,\n",
-       "     50426.7421875,\n",
-       "     11403.8486328125,\n",
-       "     75162.59375,\n",
-       "     9752.9755859375,\n",
-       "     35792.03515625,\n",
-       "     120037.6171875,\n",
-       "     32626.22265625,\n",
-       "     31517.85546875,\n",
-       "     75488.5859375,\n",
-       "     4687.91943359375,\n",
-       "     0.0,\n",
-       "     54931.125,\n",
-       "     570.3494262695312,\n",
-       "     22931.576171875,\n",
-       "     66097.3359375,\n",
-       "     65230.10546875,\n",
-       "     10505.953125,\n",
-       "     0.0,\n",
-       "     97300.9140625,\n",
-       "     14273.4345703125,\n",
-       "     9125.1708984375,\n",
-       "     0.0,\n",
-       "     224138.15625,\n",
-       "     154240.703125,\n",
-       "     0.0,\n",
-       "     20865.361328125,\n",
-       "     453857.15625,\n",
-       "     4600.4267578125,\n",
-       "     6467.8798828125,\n",
-       "     308531.8125,\n",
-       "     8219.962890625,\n",
-       "     16871.029296875,\n",
-       "     9610.6103515625,\n",
-       "     555938.25,\n",
-       "     130033.8203125,\n",
-       "     17524.42578125,\n",
-       "     1.175978183746338,\n",
-       "     0.0,\n",
-       "     85743.28125,\n",
-       "     55672.796875,\n",
-       "     37401.25390625,\n",
-       "     109751.8828125,\n",
-       "     38001.53125,\n",
-       "     34339.45703125,\n",
-       "     97675.34375,\n",
-       "     11555.5400390625,\n",
-       "     36049.75390625,\n",
-       "     0.0,\n",
-       "     33979.28515625,\n",
-       "     101109.75,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     50993.75390625,\n",
-       "     46046.09375,\n",
-       "     44347.078125,\n",
-       "     0.0,\n",
-       "     45025.515625,\n",
-       "     5869.43310546875,\n",
-       "     87662.078125,\n",
-       "     0.0,\n",
-       "     50608.671875,\n",
-       "     1984.2515869140625,\n",
-       "     4802.7216796875,\n",
-       "     0.0,\n",
-       "     31455.01953125,\n",
-       "     253553.9375,\n",
-       "     571865.1875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27327.73828125,\n",
-       "     218343.734375,\n",
-       "     54030.6171875,\n",
-       "     55581.90234375,\n",
-       "     109028.828125,\n",
-       "     69128.5546875,\n",
-       "     0.0,\n",
-       "     53610.37890625,\n",
-       "     45810.53515625,\n",
-       "     252410.265625,\n",
-       "     126613.40625,\n",
-       "     477236.21875,\n",
-       "     26165.421875,\n",
-       "     101337.4296875,\n",
-       "     24459.087890625,\n",
-       "     3034.0234375,\n",
-       "     587.9890747070312,\n",
-       "     9638.4580078125,\n",
-       "     66619.453125,\n",
-       "     4614.98486328125,\n",
-       "     19264.216796875,\n",
-       "     17127.716796875,\n",
-       "     3527.934326171875,\n",
-       "     23460.763671875,\n",
-       "     59636.203125,\n",
-       "     95814.671875,\n",
-       "     476.2711486816406,\n",
-       "     84878.234375,\n",
-       "     0.0,\n",
-       "     9425.3408203125,\n",
-       "     22254.314453125,\n",
-       "     26168.7109375,\n",
-       "     0.0,\n",
-       "     95750.78125,\n",
-       "     73121.4296875,\n",
-       "     118737.4140625,\n",
-       "     60758.8359375,\n",
-       "     59193.81640625,\n",
-       "     82704.2109375,\n",
-       "     0.0,\n",
-       "     20291.49609375,\n",
-       "     70062.0546875,\n",
-       "     82321.3359375,\n",
-       "     101886.125,\n",
-       "     73660.4375,\n",
-       "     0.0,\n",
-       "     129.35760498046875,\n",
-       "     0.0,\n",
-       "     29896.94140625,\n",
-       "     46046.09765625,\n",
-       "     0.0,\n",
-       "     14528.1103515625,\n",
-       "     295.4645080566406,\n",
-       "     0.0,\n",
-       "     12501.775390625,\n",
-       "     77576.796875,\n",
-       "     36022.17578125,\n",
-       "     47971.38671875,\n",
-       "     44245.06640625,\n",
-       "     3485.740234375,\n",
-       "     41464.78515625,\n",
-       "     0.0,\n",
-       "     160651.03125,\n",
-       "     64680.390625,\n",
-       "     12866.259765625,\n",
-       "     0.0,\n",
-       "     49606.8828125,\n",
-       "     117636.2734375,\n",
-       "     11823.7373046875,\n",
-       "     47131.9296875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     57780.29296875,\n",
-       "     31121.046875,\n",
-       "     35920.48828125,\n",
-       "     12869.9052734375,\n",
-       "     16989.625,\n",
-       "     33162.5859375,\n",
-       "     25892.302734375,\n",
-       "     44905.4453125,\n",
-       "     1.4699727296829224,\n",
-       "     0.0,\n",
-       "     69195.53125,\n",
-       "     21254.62890625,\n",
-       "     52285.1640625,\n",
-       "     39170.58984375,\n",
-       "     39142.1796875,\n",
-       "     85875.765625,\n",
-       "     8830.6298828125,\n",
-       "     51844.640625,\n",
-       "     118567.1875,\n",
-       "     26357.580078125,\n",
-       "     9605.4423828125,\n",
-       "     11769.330078125,\n",
-       "     1252.416748046875,\n",
-       "     11304.08984375,\n",
-       "     187246.09375,\n",
-       "     57632.65625,\n",
-       "     23031.533203125,\n",
-       "     82971.7109375,\n",
-       "     0.0,\n",
-       "     36030.23046875,\n",
-       "     59063.1484375,\n",
-       "     7327.52001953125,\n",
-       "     3962.245361328125,\n",
-       "     23944.212890625,\n",
-       "     107468.8359375,\n",
-       "     104952.9375,\n",
-       "     39492.1484375,\n",
-       "     21654.88671875,\n",
-       "     0.0,\n",
-       "     45807.66015625,\n",
-       "     43652.3046875,\n",
-       "     0.0,\n",
-       "     29917.26171875,\n",
-       "     7178.89990234375,\n",
-       "     47112.625,\n",
-       "     43661.61328125,\n",
-       "     74368.859375,\n",
-       "     34519.5625,\n",
-       "     49047.79296875,\n",
-       "     9412.529296875,\n",
-       "     14896.076171875,\n",
-       "     79558.5390625,\n",
-       "     9555.73046875,\n",
-       "     13807.82421875,\n",
-       "     13687.755859375,\n",
-       "     43038.765625,\n",
-       "     30546.033203125,\n",
-       "     29833.322265625,\n",
-       "     87424.234375,\n",
-       "     7775.99755859375,\n",
-       "     50312.9765625,\n",
-       "     23000.224609375,\n",
-       "     20051.365234375,\n",
-       "     14408.1640625,\n",
-       "     28311.673828125,\n",
-       "     21404.37890625,\n",
-       "     44633.73046875,\n",
-       "     19255.939453125,\n",
-       "     15003.796875,\n",
-       "     49557.46484375,\n",
-       "     21380.833984375,\n",
-       "     352.7934265136719,\n",
-       "     130404.21875,\n",
-       "     29959.326171875,\n",
-       "     284020.9375,\n",
-       "     31998.1328125,\n",
-       "     176079.765625,\n",
-       "     52914.703125,\n",
-       "     0.0,\n",
-       "     6622.10888671875,\n",
-       "     41470.85546875,\n",
-       "     17950.171875,\n",
-       "     4233.521484375,\n",
-       "     82186.5703125,\n",
-       "     8802.1962890625,\n",
-       "     69459.359375,\n",
-       "     0.0,\n",
-       "     62675.515625,\n",
-       "     84865.71875,\n",
-       "     54690.9921875,\n",
-       "     126683.9140625,\n",
-       "     20448.19921875,\n",
-       "     25934.693359375,\n",
-       "     30077.04296875,\n",
-       "     2419.69287109375,\n",
-       "     25574.4921875,\n",
-       "     59553.77734375,\n",
-       "     145393.25,\n",
-       "     12712.216796875,\n",
-       "     7100.74462890625,\n",
-       "     141503.09375,\n",
-       "     55718.109375,\n",
-       "     28213.67578125,\n",
-       "     55651.53515625,\n",
-       "     0.0,\n",
-       "     8992.19921875,\n",
-       "     50608.6796875,\n",
-       "     67898.46875,\n",
-       "     29060.62109375,\n",
-       "     98090.1796875,\n",
-       "     5523.1298828125,\n",
-       "     79967.671875,\n",
-       "     16209.185546875,\n",
-       "     46526.36328125,\n",
-       "     21432.14453125,\n",
-       "     149433.8125,\n",
-       "     80925.8515625,\n",
-       "     82211.4296875,\n",
-       "     12401.1142578125,\n",
-       "     6519.623046875,\n",
-       "     45940.375,\n",
-       "     59630.1875,\n",
-       "     82844.484375,\n",
-       "     260.220458984375,\n",
-       "     66813.296875,\n",
-       "     34485.55859375,\n",
-       "     119627.3515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     6074.3974609375,\n",
-       "     64946.92578125,\n",
-       "     919.7828979492188,\n",
-       "     72825.609375,\n",
-       "     160773.859375,\n",
-       "     160902.203125,\n",
-       "     119425.8125,\n",
-       "     63987.109375,\n",
-       "     17746.685546875,\n",
-       "     29956.974609375,\n",
-       "     15085.447265625,\n",
-       "     69099.15625,\n",
-       "     134289.203125,\n",
-       "     151239.796875,\n",
-       "     11949.6474609375,\n",
-       "     11742.142578125,\n",
-       "     46587.86328125,\n",
-       "     114064.640625,\n",
-       "     47426.875,\n",
-       "     13275.3818359375,\n",
-       "     9666.541015625,\n",
-       "     13758.9443359375,\n",
-       "     40943.19921875,\n",
-       "     86330.390625,\n",
-       "     11732.986328125,\n",
-       "     6088.97998046875,\n",
-       "     51389.12109375,\n",
-       "     0.0,\n",
-       "     4291.802734375,\n",
-       "     19286.04296875,\n",
-       "     22272.62109375,\n",
-       "     40402.89453125,\n",
-       "     63938.2265625,\n",
-       "     80745.75,\n",
-       "     0.0,\n",
-       "     1675.397216796875,\n",
-       "     25453.884765625,\n",
-       "     0.0,\n",
-       "     44245.0703125,\n",
-       "     54090.6484375,\n",
-       "     12420.0927734375,\n",
-       "     0.0,\n",
-       "     25606.267578125,\n",
-       "     11465.7880859375,\n",
-       "     50353.25,\n",
-       "     22559.107421875,\n",
-       "     49336.98828125,\n",
-       "     0.0,\n",
-       "     55711.5703125,\n",
-       "     23672.44140625,\n",
-       "     18070.23828125,\n",
-       "     87611.6796875,\n",
-       "     1228.0152587890625,\n",
-       "     113666.375,\n",
-       "     18304.099609375,\n",
-       "     1513.20166015625,\n",
-       "     5879.890625,\n",
-       "     0.0,\n",
-       "     18115.943359375,\n",
-       "     33619.05078125,\n",
-       "     6749.00927734375,\n",
-       "     0.0,\n",
-       "     38691.75390625,\n",
-       "     0.0,\n",
-       "     10867.568359375,\n",
-       "     2549.520751953125,\n",
-       "     122945.21875,\n",
-       "     277619.96875,\n",
-       "     0.0,\n",
-       "     47543.1484375,\n",
-       "     59433.91015625,\n",
-       "     24331.318359375,\n",
-       "     99664.078125,\n",
-       "     103771.9765625,\n",
-       "     2981.104736328125,\n",
-       "     96061.28125,\n",
-       "     47667.01171875,\n",
-       "     164195.96875,\n",
-       "     0.0,\n",
-       "     35244.37890625,\n",
-       "     198399.859375,\n",
-       "     57332.48828125,\n",
-       "     40401.76171875,\n",
-       "     8256.2646484375,\n",
-       "     13567.6884765625,\n",
-       "     261062.84375,\n",
-       "     151547.078125,\n",
-       "     0.0,\n",
-       "     8712.2822265625,\n",
-       "     86416.2109375,\n",
-       "     18242.28125,\n",
-       "     48027.21484375,\n",
-       "     14111.884765625,\n",
-       "     26268.91015625,\n",
-       "     0.0,\n",
-       "     4802.7216796875,\n",
-       "     183610.96875,\n",
-       "     11406.4638671875,\n",
-       "     37213.828125,\n",
-       "     6761.8740234375,\n",
-       "     13120.9755859375,\n",
-       "     89477.6171875,\n",
-       "     4139.02294921875,\n",
-       "     211.6760711669922,\n",
-       "     47086.30078125,\n",
-       "     76914.8515625,\n",
-       "     83927.5625,\n",
-       "     226208.1875,\n",
-       "     6620.7568359375,\n",
-       "     56576.78125,\n",
-       "     115454.7734375,\n",
-       "     101937.765625,\n",
-       "     24569.337890625,\n",
-       "     0.0,\n",
-       "     24709.5,\n",
-       "     13387.5849609375,\n",
-       "     30502.521484375,\n",
-       "     9005.1025390625,\n",
-       "     69039.125,\n",
-       "     125768.21875,\n",
-       "     55151.46484375,\n",
-       "     68600.46875,\n",
-       "     30870.015625,\n",
-       "     84768.0390625,\n",
-       "     44309.65234375,\n",
-       "     20872.7109375,\n",
-       "     17353.359375,\n",
-       "     194500.5625,\n",
-       "     74538.359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     22512.7578125,\n",
-       "     35279.34375,\n",
-       "     16884.9765625,\n",
-       "     0.0,\n",
-       "     21011.908203125,\n",
-       "     104639.2890625,\n",
-       "     55233.6484375,\n",
-       "     46595.91015625,\n",
-       "     70399.90625,\n",
-       "     0.0,\n",
-       "     54330.7890625,\n",
-       "     25153.32421875,\n",
-       "     11586.5654296875,\n",
-       "     45676.19921875,\n",
-       "     38541.84375,\n",
-       "     21761.5234375,\n",
-       "     49468.03125,\n",
-       "     106462.9375,\n",
-       "     73866.296875,\n",
-       "     4562.58544921875,\n",
-       "     29458.296875,\n",
-       "     275635.0625,\n",
-       "     33536.78515625,\n",
-       "     0.587989091873169,\n",
-       "     33574.3515625,\n",
-       "     80985.890625,\n",
-       "     46046.09375,\n",
-       "     0.0,\n",
-       "     43584.69921875,\n",
-       "     18896.833984375,\n",
-       "     0.0,\n",
-       "     10426.45703125,\n",
-       "     82469.9609375,\n",
-       "     61013.00390625,\n",
-       "     23017.625,\n",
-       "     30797.451171875,\n",
-       "     24016.546875,\n",
-       "     45025.515625,\n",
-       "     0.0,\n",
-       "     21530.9140625,\n",
-       "     15301.265625,\n",
-       "     5100.87548828125,\n",
-       "     0.0,\n",
-       "     104229.578125,\n",
-       "     22076.048828125,\n",
-       "     0.0,\n",
-       "     34421.3515625,\n",
-       "     15745.6123046875,\n",
-       "     21432.14453125,\n",
-       "     64730.1640625,\n",
-       "     102832.5078125,\n",
-       "     9324.1904296875,\n",
-       "     68787.6953125,\n",
-       "     24914.861328125,\n",
-       "     37501.73046875,\n",
-       "     4167.05517578125,\n",
-       "     18151.734375,\n",
-       "     138226.5625,\n",
-       "     216556.59375,\n",
-       "     18614.51171875,\n",
-       "     194050.703125,\n",
-       "     8813.044921875,\n",
-       "     7721.87109375,\n",
-       "     21131.974609375,\n",
-       "     79169.7578125,\n",
-       "     3.5279343128204346,\n",
-       "     199.45205688476562,\n",
-       "     7532.14013671875,\n",
-       "     96.2391128540039,\n",
-       "     44.099178314208984,\n",
-       "     15553.7802734375,\n",
-       "     0.0,\n",
-       "     135831.609375,\n",
-       "     28759.236328125,\n",
-       "     31765.34765625,\n",
-       "     0.0,\n",
-       "     66152.2109375,\n",
-       "     18455.517578125,\n",
-       "     35611.265625,\n",
-       "     121700.1484375,\n",
-       "     26953.20703125,\n",
-       "     11612.02734375,\n",
-       "     16773.37890625,\n",
-       "     1.175978183746338,\n",
-       "     113108.296875,\n",
-       "     60520.40625,\n",
-       "     77016.5234375,\n",
-       "     22932.99609375,\n",
-       "     34519.5625,\n",
-       "     0.0,\n",
-       "     85534.125,\n",
-       "     31474.224609375,\n",
-       "     110279.203125,\n",
-       "     3045.666015625,\n",
-       "     0.0,\n",
-       "     62675.515625,\n",
-       "     59198.7421875,\n",
-       "     0.0,\n",
-       "     24702.31640625,\n",
-       "     0.0,\n",
-       "     52255.16796875,\n",
-       "     34171.90234375,\n",
-       "     0.0,\n",
-       "     75350.0546875,\n",
-       "     194419.171875,\n",
-       "     91966.0234375,\n",
-       "     74870.9453125,\n",
-       "     72677.9140625,\n",
-       "     0.0,\n",
-       "     29956.9765625,\n",
-       "     76977.7265625,\n",
-       "     0.0,\n",
-       "     14792.634765625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     40342.859375,\n",
-       "     68847.640625,\n",
-       "     20471.599609375,\n",
-       "     0.0,\n",
-       "     76371.2109375,\n",
-       "     0.0,\n",
-       "     22286.556640625,\n",
-       "     81114.0859375,\n",
-       "     0.0,\n",
-       "     34156.35546875,\n",
-       "     128472.796875,\n",
-       "     46161.796875,\n",
-       "     20939.341796875,\n",
-       "     17831.57421875,\n",
-       "     24190.48046875,\n",
-       "     0.0,\n",
-       "     38499.4453125,\n",
-       "     45926.0234375,\n",
-       "     275500.59375,\n",
-       "     16746.31640625,\n",
-       "     79721.4609375,\n",
-       "     38001.53515625,\n",
-       "     139552.484375,\n",
-       "     45364.49609375,\n",
-       "     111315.9140625,\n",
-       "     84768.03125,\n",
-       "     20231.46484375,\n",
-       "     1717.883544921875,\n",
-       "     10470.392578125,\n",
-       "     36287.5859375,\n",
-       "     92061.8671875,\n",
-       "     0.0,\n",
-       "     282.2347717285156,\n",
-       "     3118.270751953125,\n",
-       "     30320.123046875,\n",
-       "     78028.71875,\n",
-       "     16757.689453125,\n",
-       "     6359.2548828125,\n",
-       "     10717.865234375,\n",
-       "     16799.8046875,\n",
-       "     6661.611328125,\n",
-       "     31577.89453125,\n",
-       "     63395.921875,\n",
-       "     35766.83203125,\n",
-       "     76936.0625,\n",
-       "     49528.06640625,\n",
-       "     3887.50146484375,\n",
-       "     17230.431640625,\n",
-       "     0.0,\n",
-       "     6061.1611328125,\n",
-       "     211180.46875,\n",
-       "     339856.4375,\n",
-       "     4654.38671875,\n",
-       "     15659.99609375,\n",
-       "     18362.900390625,\n",
-       "     58976.92578125,\n",
-       "     78284.359375,\n",
-       "     81131.859375,\n",
-       "     11847.98046875,\n",
-       "     127929.25,\n",
-       "     134957.015625,\n",
-       "     58298.91015625,\n",
-       "     389736.71875,\n",
-       "     16369.6162109375,\n",
-       "     111303.0625,\n",
-       "     11.759781837463379,\n",
-       "     0.0,\n",
-       "     25831.376953125,\n",
-       "     0.0,\n",
-       "     93817.046875,\n",
-       "     63155.7890625,\n",
-       "     3361.905029296875,\n",
-       "     28756.294921875,\n",
-       "     524.3922119140625,\n",
-       "     172633.078125,\n",
-       "     29082.16015625,\n",
-       "     20873.68359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     10223.53125,\n",
-       "     52358.484375,\n",
-       "     23653.40234375,\n",
-       "     48987.75390625,\n",
-       "     75282.65625,\n",
-       "     20471.599609375,\n",
-       "     1208.0302734375,\n",
-       "     49227.8984375,\n",
-       "     81766.3359375,\n",
-       "     0.0,\n",
-       "     27615.6484375,\n",
-       "     0.0,\n",
-       "     5293.07763671875,\n",
-       "     96112.90625,\n",
-       "     26360.814453125,\n",
-       "     702.6351928710938,\n",
-       "     51273.29296875,\n",
-       "     65672.9296875,\n",
-       "     184742.96875,\n",
-       "     151644.5625,\n",
-       "     0.0,\n",
-       "     8692.8310546875,\n",
-       "     20865.361328125,\n",
-       "     32238.267578125,\n",
-       "     22103.591796875,\n",
-       "     164257.6875,\n",
-       "     55234.2421875,\n",
-       "     27255.443359375,\n",
-       "     41303.40625,\n",
-       "     42992.33984375,\n",
-       "     30461.501953125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     15902.7529296875,\n",
-       "     0.0,\n",
-       "     4367.41845703125,\n",
-       "     29552.908203125,\n",
-       "     0.0,\n",
-       "     85188.5,\n",
-       "     88555.1171875,\n",
-       "     23053.064453125,\n",
-       "     7324.150390625,\n",
-       "     5785.8125,\n",
-       "     175363.5,\n",
-       "     7112.31591796875,\n",
-       "     36.74931716918945,\n",
-       "     94591.9453125,\n",
-       "     21590.171875,\n",
-       "     158468.515625,\n",
-       "     52889.96875,\n",
-       "     105823.0,\n",
-       "     121568.875,\n",
-       "     8568.2939453125,\n",
-       "     99286.890625,\n",
-       "     10639.4033203125,\n",
-       "     1550.233154296875,\n",
-       "     31404.59765625,\n",
-       "     7924.49072265625,\n",
-       "     3799.679443359375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     26773.412109375,\n",
-       "     63708.0078125,\n",
-       "     40452.015625,\n",
-       "     55398.31640625,\n",
-       "     11430.58984375,\n",
-       "     3.5279343128204346,\n",
-       "     15106.6162109375,\n",
-       "     45207.96484375,\n",
-       "     42071.8515625,\n",
-       "     72040.8203125,\n",
-       "     198352.390625,\n",
-       "     0.0,\n",
-       "     85596.34375,\n",
-       "     0.0,\n",
-       "     7905.9130859375,\n",
-       "     12171.375,\n",
-       "     74626.140625,\n",
-       "     10400.0,\n",
-       "     96082.7890625,\n",
-       "     2822.347412109375,\n",
-       "     229699.921875,\n",
-       "     28756.296875,\n",
-       "     0.0,\n",
-       "     89180.40625,\n",
-       "     0.0,\n",
-       "     46.33353805541992,\n",
-       "     0.0,\n",
-       "     1411.1737060546875,\n",
-       "     16405.482421875,\n",
-       "     8363.9208984375,\n",
-       "     59853.91015625,\n",
-       "     3704.3310546875,\n",
-       "     0.0,\n",
-       "     40540.01953125,\n",
-       "     81018.671875,\n",
-       "     0.0,\n",
-       "     889.0394897460938,\n",
-       "     5163.908203125,\n",
-       "     35960.37890625,\n",
-       "     37652.109375,\n",
-       "     9005.1025390625,\n",
-       "     0.0,\n",
-       "     27373.904296875,\n",
-       "     54747.375,\n",
-       "     24193.708984375,\n",
-       "     40347.26953125,\n",
-       "     5510.6337890625,\n",
-       "     49374.3828125,\n",
-       "     68258.6796875,\n",
-       "     0.0,\n",
-       "     25336.70703125,\n",
-       "     0.0,\n",
-       "     38608.92578125,\n",
-       "     0.0,\n",
-       "     22377.34375,\n",
-       "     0.17639672756195068,\n",
-       "     29056.4609375,\n",
-       "     0.0,\n",
-       "     33559.015625,\n",
-       "     54274.86328125,\n",
-       "     13495.818359375,\n",
-       "     59868.609375,\n",
-       "     4.703912734985352,\n",
-       "     69999.671875,\n",
-       "     13299.68359375,\n",
-       "     121747.3203125,\n",
-       "     60792.81640625,\n",
-       "     167597.21875,\n",
-       "     74192.4609375,\n",
-       "     79429.9765625,\n",
-       "     32080.68359375,\n",
-       "     6688.9638671875,\n",
-       "     79343.2421875,\n",
-       "     10592.1298828125,\n",
-       "     71920.7578125,\n",
-       "     3634.638427734375,\n",
-       "     42609.328125,\n",
-       "     36156.0,\n",
-       "     129600.9609375,\n",
-       "     94613.609375,\n",
-       "     46047.5625,\n",
-       "     87108.4765625,\n",
-       "     92759.375,\n",
-       "     11759.78125,\n",
-       "     60.26887893676758,\n",
-       "     91431.796875,\n",
-       "     111691.0,\n",
-       "     31176.591796875,\n",
-       "     54481.3046875,\n",
-       "     95754.265625,\n",
-       "     35360.0390625,\n",
-       "     0.0,\n",
-       "     12601.7822265625,\n",
-       "     0.0,\n",
-       "     132118.9375,\n",
-       "     16118.2509765625,\n",
-       "     114389.46875,\n",
-       "     28980.923828125,\n",
-       "     4071.1943359375,\n",
-       "     44004.9375,\n",
-       "     46082.83984375,\n",
-       "     40282.828125,\n",
-       "     17049.689453125,\n",
-       "     39311.5078125,\n",
-       "     1411.173828125,\n",
-       "     149867.15625,\n",
-       "     52829.96875,\n",
-       "     80565.6484375,\n",
-       "     89840.9375,\n",
-       "     20711.736328125,\n",
-       "     54622.109375,\n",
-       "     73607.5859375,\n",
-       "     24191.724609375,\n",
-       "     32199.283203125,\n",
-       "     44545.32421875,\n",
-       "     6519.4482421875,\n",
-       "     11.759781837463379,\n",
-       "     48219.29296875,\n",
-       "     28861.185546875,\n",
-       "     11289.3896484375,\n",
-       "     28659.947265625,\n",
-       "     26234.8671875,\n",
-       "     0.0,\n",
-       "     15620.751953125,\n",
-       "     8904.505859375,\n",
-       "     72640.65625,\n",
-       "     14452.732421875,\n",
-       "     9965.646484375,\n",
-       "     69506.7265625,\n",
-       "     2106.600341796875,\n",
-       "     7361.67041015625,\n",
-       "     56727.46484375,\n",
-       "     852.5841674804688,\n",
-       "     23173.130859375,\n",
-       "     127906.2265625,\n",
-       "     4910.884765625,\n",
-       "     73601.859375,\n",
-       "     30867.955078125,\n",
-       "     6534.72265625,\n",
-       "     44785.37890625,\n",
-       "     40282.828125,\n",
-       "     33708.484375,\n",
-       "     85202.9765625,\n",
-       "     0.0,\n",
-       "     21809.46875,\n",
-       "     79411.453125,\n",
-       "     58822.64453125,\n",
-       "     97591.984375,\n",
-       "     45914.3984375,\n",
-       "     24587.02734375,\n",
-       "     75561.3515625,\n",
-       "     23088.341796875,\n",
-       "     163292.53125,\n",
-       "     26411.544921875,\n",
-       "     11430.58984375,\n",
-       "     28936.396484375,\n",
-       "     26360.724609375,\n",
-       "     16689.892578125,\n",
-       "     87514.5703125,\n",
-       "     103198.484375,\n",
-       "     118022.1796875,\n",
-       "     66527.2421875,\n",
-       "     220431.921875,\n",
-       "     17727.787109375,\n",
-       "     36020.41015625,\n",
-       "     67658.34375,\n",
-       "     137087.0625,\n",
-       "     91912.640625,\n",
-       "     22897.001953125,\n",
-       "     4120.62744140625,\n",
-       "     0.0,\n",
-       "     37413.74609375,\n",
-       "     19732.537109375,\n",
-       "     9126.69921875,\n",
-       "     9947.646484375,\n",
-       "     9082.6904296875,\n",
-       "     70465.1171875,\n",
-       "     0.0,\n",
-       "     45659.6640625,\n",
-       "     0.0,\n",
-       "     103345.21875,\n",
-       "     44941.2265625,\n",
-       "     58052.89453125,\n",
-       "     29476.703125,\n",
-       "     6836.2548828125,\n",
-       "     27615.6484375,\n",
-       "     2963.486083984375,\n",
-       "     0.0,\n",
-       "     36469.0234375,\n",
-       "     15.287715911865234,\n",
-       "     81343.6328125,\n",
-       "     1058.38037109375,\n",
-       "     61534.87109375,\n",
-       "     0.0,\n",
-       "     41300.9375,\n",
-       "     79660.3125,\n",
-       "     10668.3310546875,\n",
-       "     1448.8050537109375,\n",
-       "     0.0,\n",
-       "     61955.109375,\n",
-       "     100918.796875,\n",
-       "     61909.7734375,\n",
-       "     0.0,\n",
-       "     20934.009765625,\n",
-       "     10.5838041305542,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1975.643310546875,\n",
-       "     102.8980941772461,\n",
-       "     219007.734375,\n",
-       "     0.0,\n",
-       "     11968.517578125,\n",
-       "     36161.328125,\n",
-       "     33311.63671875,\n",
-       "     11722.150390625,\n",
-       "     29.39945411682129,\n",
-       "     105538.1640625,\n",
-       "     0.0,\n",
-       "     34882.16015625,\n",
-       "     470.3912658691406,\n",
-       "     5221.3427734375,\n",
-       "     52229.58984375,\n",
-       "     17255.892578125,\n",
-       "     123361.53125,\n",
-       "     0.0,\n",
-       "     34065.1484375,\n",
-       "     26751.15234375,\n",
-       "     0.0,\n",
-       "     7.055868625640869,\n",
-       "     50404.0,\n",
-       "     1315.33154296875,\n",
-       "     0.0,\n",
-       "     36686.3984375,\n",
-       "     53283.984375,\n",
-       "     9096.005859375,\n",
-       "     25768.033203125,\n",
-       "     36746.44921875,\n",
-       "     24507.34375,\n",
-       "     78644.5625,\n",
-       "     76884.90625,\n",
-       "     175729.328125,\n",
-       "     132550.046875,\n",
-       "     24142.83203125,\n",
-       "     270213.15625,\n",
-       "     29634.650390625,\n",
-       "     69159.1875,\n",
-       "     70420.84375,\n",
-       "     4953.22021484375,\n",
-       "     52482.234375,\n",
-       "     17.639673233032227,\n",
-       "     50008.3359375,\n",
-       "     214713.53125,\n",
-       "     5688.20654296875,\n",
-       "     118137.0703125,\n",
-       "     24193.70703125,\n",
-       "     9805.2587890625,\n",
-       "     70479.9375,\n",
-       "     973.7098999023438,\n",
-       "     258618.921875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     13421.9677734375,\n",
-       "     28388.154296875,\n",
-       "     13858.9033203125,\n",
-       "     98515.828125,\n",
-       "     4115.92333984375,\n",
-       "     57036.7265625,\n",
-       "     59433.671875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     38844.171875,\n",
-       "     0.0,\n",
-       "     5392.80078125,\n",
-       "     10445.91796875,\n",
-       "     76379.1328125,\n",
-       "     74255.6328125,\n",
-       "     4198.2421875,\n",
-       "     129793.546875,\n",
-       "     71836.140625,\n",
-       "     55531.46875,\n",
-       "     211076.53125,\n",
-       "     24133.67578125,\n",
-       "     58300.13671875,\n",
-       "     89458.578125,\n",
-       "     110255.265625,\n",
-       "     64992.375,\n",
-       "     27437.017578125,\n",
-       "     18165.552734375,\n",
-       "     24202.3203125,\n",
-       "     51809.359375,\n",
-       "     ...],\n",
-       "    'wealth': [507750.28125,\n",
-       "     1067.5635986328125,\n",
-       "     747250.75,\n",
-       "     1397688.625,\n",
-       "     606589.6875,\n",
-       "     247674.78125,\n",
-       "     58716.0,\n",
-       "     275997.375,\n",
-       "     0.0,\n",
-       "     324425.78125,\n",
-       "     2097985.75,\n",
-       "     334147.40625,\n",
-       "     230.59375,\n",
-       "     60364.26171875,\n",
-       "     1733829.25,\n",
-       "     1433314.625,\n",
-       "     1207726.0,\n",
-       "     3006496.0,\n",
-       "     564050.1875,\n",
-       "     905116.5,\n",
-       "     572141.625,\n",
-       "     112307.6953125,\n",
-       "     292512.4375,\n",
-       "     0.0,\n",
-       "     22418.8359375,\n",
-       "     298917.8125,\n",
-       "     0.0,\n",
-       "     6658247.5,\n",
-       "     2887480.0,\n",
-       "     825638.0625,\n",
-       "     25625604.0,\n",
-       "     444819.71875,\n",
-       "     1781341.625,\n",
-       "     2387968.0,\n",
-       "     21218.111328125,\n",
-       "     1297775.5,\n",
-       "     330944.71875,\n",
-       "     70.31910705566406,\n",
-       "     0.0,\n",
-       "     117432.0,\n",
-       "     5363003.0,\n",
-       "     213.51272583007812,\n",
-       "     411652.53125,\n",
-       "     785838.625,\n",
-       "     1371507.75,\n",
-       "     0.0,\n",
-       "     6405.3818359375,\n",
-       "     85405.09375,\n",
-       "     1390957.25,\n",
-       "     1788789.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     638290.625,\n",
-       "     553132.125,\n",
-       "     7579.7021484375,\n",
-       "     322373.625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1083783.875,\n",
-       "     3202.69091796875,\n",
-       "     2539473.75,\n",
-       "     107389.546875,\n",
-       "     152375.5,\n",
-       "     2249420.5,\n",
-       "     0.0,\n",
-       "     2242828.25,\n",
-       "     96454.375,\n",
-       "     168087.890625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     753114.9375,\n",
-       "     1419960.75,\n",
-       "     0.0,\n",
-       "     354757.46875,\n",
-       "     5291913.0,\n",
-       "     31816.814453125,\n",
-       "     0.0,\n",
-       "     983985.3125,\n",
-       "     382591.3125,\n",
-       "     10675.63671875,\n",
-       "     237830.078125,\n",
-       "     1741196.375,\n",
-       "     1423958.0,\n",
-       "     13851.638671875,\n",
-       "     411624.375,\n",
-       "     992834.25,\n",
-       "     128107.640625,\n",
-       "     762538.125,\n",
-       "     49641.7109375,\n",
-       "     0.0,\n",
-       "     498539.90625,\n",
-       "     422755.1875,\n",
-       "     96454.375,\n",
-       "     345356.84375,\n",
-       "     286950.4375,\n",
-       "     0.0,\n",
-       "     1366481.5,\n",
-       "     111953.125,\n",
-       "     8540.5087890625,\n",
-       "     0.0,\n",
-       "     258350.40625,\n",
-       "     871828.625,\n",
-       "     0.0,\n",
-       "     338951.4375,\n",
-       "     228458.609375,\n",
-       "     162381.765625,\n",
-       "     2019988.5,\n",
-       "     266890.90625,\n",
-       "     0.0,\n",
-       "     279820.0625,\n",
-       "     945605.625,\n",
-       "     229526.1875,\n",
-       "     725409.5,\n",
-       "     45388.53515625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     180867.484375,\n",
-       "     2057195.125,\n",
-       "     1395626.0,\n",
-       "     92878.0390625,\n",
-       "     7472.94580078125,\n",
-       "     97361.8046875,\n",
-       "     755348.25,\n",
-       "     80761.1875,\n",
-       "     2932274.25,\n",
-       "     645876.0,\n",
-       "     352584.25,\n",
-       "     17115.9921875,\n",
-       "     16753.146484375,\n",
-       "     1481337.0,\n",
-       "     6950412.0,\n",
-       "     6021059.0,\n",
-       "     1983533.25,\n",
-       "     2135.127197265625,\n",
-       "     64053.8203125,\n",
-       "     769498.9375,\n",
-       "     106756.3671875,\n",
-       "     557396.25,\n",
-       "     419209.8125,\n",
-       "     0.0,\n",
-       "     67084.984375,\n",
-       "     125476.3359375,\n",
-       "     97066.4375,\n",
-       "     50994.31640625,\n",
-       "     1270369.375,\n",
-       "     1088321.125,\n",
-       "     1403919.75,\n",
-       "     40033.63671875,\n",
-       "     926879.75,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     346958.1875,\n",
-       "     1106711.5,\n",
-       "     92878.0390625,\n",
-       "     543689.5,\n",
-       "     37229.1171875,\n",
-       "     918515.75,\n",
-       "     1251718.375,\n",
-       "     253124.671875,\n",
-       "     302358.5625,\n",
-       "     0.0,\n",
-       "     1067.5635986328125,\n",
-       "     483708.21875,\n",
-       "     559252.125,\n",
-       "     178895.90625,\n",
-       "     383680.25,\n",
-       "     0.0,\n",
-       "     106756.3671875,\n",
-       "     0.0,\n",
-       "     271921.34375,\n",
-       "     1138396.75,\n",
-       "     9873.1220703125,\n",
-       "     106756.3671875,\n",
-       "     433666.875,\n",
-       "     0.0,\n",
-       "     87633.1171875,\n",
-       "     4110.1201171875,\n",
-       "     0.0,\n",
-       "     117773.6171875,\n",
-       "     365106.75,\n",
-       "     978395.375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     619186.9375,\n",
-       "     572346.5,\n",
-       "     0.0,\n",
-       "     243404.515625,\n",
-       "     3218704.25,\n",
-       "     334147.4375,\n",
-       "     1803390.125,\n",
-       "     403054.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     416349.8125,\n",
-       "     0.0,\n",
-       "     5959862.5,\n",
-       "     404143.0625,\n",
-       "     0.0,\n",
-       "     689945.75,\n",
-       "     112799.6015625,\n",
-       "     162269.671875,\n",
-       "     192161.453125,\n",
-       "     0.0,\n",
-       "     32743.0859375,\n",
-       "     668700.5,\n",
-       "     1691490.375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     2320883.5,\n",
-       "     286537.8125,\n",
-       "     420620.0625,\n",
-       "     405674.1875,\n",
-       "     467592.875,\n",
-       "     969646.0,\n",
-       "     605193.25,\n",
-       "     388289.09375,\n",
-       "     837757.125,\n",
-       "     722184.375,\n",
-       "     161666.5,\n",
-       "     1531876.375,\n",
-       "     115296.875,\n",
-       "     234864.0,\n",
-       "     4341282.0,\n",
-       "     6050610.0,\n",
-       "     216974.28125,\n",
-       "     0.0,\n",
-       "     96080.7265625,\n",
-       "     11203013.0,\n",
-       "     255399.65625,\n",
-       "     241596.03125,\n",
-       "     982369.5625,\n",
-       "     12168.7138671875,\n",
-       "     197499.28125,\n",
-       "     672193.25,\n",
-       "     0.0,\n",
-       "     1034562.875,\n",
-       "     361839.71875,\n",
-       "     1364177.625,\n",
-       "     1284279.125,\n",
-       "     5550926.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     65313.2578125,\n",
-       "     907429.125,\n",
-       "     597944.6875,\n",
-       "     106756.3671875,\n",
-       "     1085510.625,\n",
-       "     393783.9375,\n",
-       "     125476.3359375,\n",
-       "     1153726.375,\n",
-       "     200889.859375,\n",
-       "     213561.9375,\n",
-       "     81683.5078125,\n",
-       "     361300.15625,\n",
-       "     215412.203125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     655246.25,\n",
-       "     249901.03125,\n",
-       "     0.0,\n",
-       "     80067.2734375,\n",
-       "     960807.25,\n",
-       "     483708.21875,\n",
-       "     864687.875,\n",
-       "     154796.734375,\n",
-       "     3548105.25,\n",
-       "     0.0,\n",
-       "     380891.75,\n",
-       "     0.0,\n",
-       "     2393477.75,\n",
-       "     687511.0,\n",
-       "     0.0,\n",
-       "     224623.4375,\n",
-       "     702848.75,\n",
-       "     731000.8125,\n",
-       "     47506.0859375,\n",
-       "     0.0,\n",
-       "     573081.4375,\n",
-       "     365687.46875,\n",
-       "     360302.75,\n",
-       "     101418.546875,\n",
-       "     2361350.0,\n",
-       "     1878.9119873046875,\n",
-       "     341252.0625,\n",
-       "     2650760.5,\n",
-       "     187500.5625,\n",
-       "     699934.25,\n",
-       "     223757.5625,\n",
-       "     0.0,\n",
-       "     33073.12109375,\n",
-       "     828322.625,\n",
-       "     138783.28125,\n",
-       "     0.0,\n",
-       "     782524.125,\n",
-       "     1442407.875,\n",
-       "     120407.3359375,\n",
-       "     10675.63671875,\n",
-       "     44783.2265625,\n",
-       "     114171.140625,\n",
-       "     112799.6015625,\n",
-       "     461350.9375,\n",
-       "     140651.5,\n",
-       "     778260.3125,\n",
-       "     0.0,\n",
-       "     512067.65625,\n",
-       "     628933.1875,\n",
-       "     354720.28125,\n",
-       "     823005.8125,\n",
-       "     11096257.0,\n",
-       "     2171884.0,\n",
-       "     117965.78125,\n",
-       "     777746.8125,\n",
-       "     743576.6875,\n",
-       "     238600.484375,\n",
-       "     639470.625,\n",
-       "     619186.9375,\n",
-       "     0.0,\n",
-       "     1360039.625,\n",
-       "     1605535.5,\n",
-       "     1328583.0,\n",
-       "     69690.734375,\n",
-       "     0.0,\n",
-       "     234158.71875,\n",
-       "     360302.71875,\n",
-       "     176447.09375,\n",
-       "     672560.375,\n",
-       "     811233.25,\n",
-       "     912455.625,\n",
-       "     0.0,\n",
-       "     1608489.875,\n",
-       "     1895736.0,\n",
-       "     0.0,\n",
-       "     870300.625,\n",
-       "     57602.81640625,\n",
-       "     0.0,\n",
-       "     146790.0,\n",
-       "     0.0,\n",
-       "     540319.75,\n",
-       "     0.0,\n",
-       "     267851.71875,\n",
-       "     316212.34375,\n",
-       "     870857.3125,\n",
-       "     791450.0,\n",
-       "     0.0,\n",
-       "     211377.609375,\n",
-       "     2572220.5,\n",
-       "     591978.8125,\n",
-       "     0.0,\n",
-       "     200701.96875,\n",
-       "     0.0,\n",
-       "     374601.5,\n",
-       "     1433826.0,\n",
-       "     65540.9375,\n",
-       "     0.0,\n",
-       "     1210119.75,\n",
-       "     279536.40625,\n",
-       "     0.0,\n",
-       "     104044.796875,\n",
-       "     1380494.0,\n",
-       "     12276.982421875,\n",
-       "     0.0,\n",
-       "     1068.6312255859375,\n",
-       "     91362.4140625,\n",
-       "     420299.8125,\n",
-       "     351735.53125,\n",
-       "     426335.4375,\n",
-       "     109745.546875,\n",
-       "     238358.4375,\n",
-       "     2651943.75,\n",
-       "     138783.28125,\n",
-       "     19237.49609375,\n",
-       "     626846.3125,\n",
-       "     0.0,\n",
-       "     784982.75,\n",
-       "     865351.3125,\n",
-       "     255334.453125,\n",
-       "     484022.0,\n",
-       "     123612.0625,\n",
-       "     206039.78125,\n",
-       "     8540.5087890625,\n",
-       "     894286.75,\n",
-       "     0.0,\n",
-       "     602958.875,\n",
-       "     254782.859375,\n",
-       "     1857510.5,\n",
-       "     253784.890625,\n",
-       "     0.0,\n",
-       "     416300.90625,\n",
-       "     618466.9375,\n",
-       "     2282319.5,\n",
-       "     0.0,\n",
-       "     189617.453125,\n",
-       "     1525494.25,\n",
-       "     1182061.125,\n",
-       "     1067.5635986328125,\n",
-       "     510922.1875,\n",
-       "     301203.375,\n",
-       "     562606.0625,\n",
-       "     0.0,\n",
-       "     815618.625,\n",
-       "     160134.546875,\n",
-       "     0.0,\n",
-       "     1772445.25,\n",
-       "     221536.53125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     4323633.0,\n",
-       "     1726028.375,\n",
-       "     224465.9375,\n",
-       "     113171.03125,\n",
-       "     639104.0,\n",
-       "     373647.28125,\n",
-       "     0.0,\n",
-       "     1271569.5,\n",
-       "     528530.625,\n",
-       "     0.0,\n",
-       "     104044.796875,\n",
-       "     675384.4375,\n",
-       "     166539.921875,\n",
-       "     1254758.5,\n",
-       "     411864.84375,\n",
-       "     1872726.375,\n",
-       "     653648.9375,\n",
-       "     82560.2421875,\n",
-       "     45950.07421875,\n",
-       "     176148.0,\n",
-       "     0.0,\n",
-       "     123837.3828125,\n",
-       "     2135.127197265625,\n",
-       "     163434.96875,\n",
-       "     0.0,\n",
-       "     418116.65625,\n",
-       "     443255.25,\n",
-       "     618563.1875,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     163337.25,\n",
-       "     587070.5,\n",
-       "     0.0,\n",
-       "     77697.7421875,\n",
-       "     10904282.0,\n",
-       "     5310385.0,\n",
-       "     351229.5625,\n",
-       "     250258.8125,\n",
-       "     857734.0,\n",
-       "     4849014.0,\n",
-       "     0.0,\n",
-       "     32026.91015625,\n",
-       "     517768.375,\n",
-       "     491079.28125,\n",
-       "     154796.734375,\n",
-       "     220985.6875,\n",
-       "     0.0,\n",
-       "     1047966.25,\n",
-       "     1062120.625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     750438.0,\n",
-       "     0.0,\n",
-       "     136019.484375,\n",
-       "     1099278.75,\n",
-       "     204607.734375,\n",
-       "     138783.28125,\n",
-       "     700778.1875,\n",
-       "     1067.5635986328125,\n",
-       "     1262422.75,\n",
-       "     1067.5635986328125,\n",
-       "     1456262.75,\n",
-       "     122769.8203125,\n",
-       "     769820.125,\n",
-       "     437701.09375,\n",
-       "     0.0,\n",
-       "     1118174.0,\n",
-       "     695714.9375,\n",
-       "     130509.65625,\n",
-       "     0.0,\n",
-       "     2755893.0,\n",
-       "     895.6859130859375,\n",
-       "     18575.607421875,\n",
-       "     3040.727294921875,\n",
-       "     561615.5625,\n",
-       "     1082509.5,\n",
-       "     0.0,\n",
-       "     240060.765625,\n",
-       "     538052.0625,\n",
-       "     4377.0107421875,\n",
-       "     626705.6875,\n",
-       "     1067.5635986328125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1044561.75,\n",
-       "     1201009.125,\n",
-       "     85999.90625,\n",
-       "     10675.63671875,\n",
-       "     332695.5625,\n",
-       "     602403.0625,\n",
-       "     176002.6875,\n",
-       "     845737.25,\n",
-       "     431946.03125,\n",
-       "     0.0,\n",
-       "     187176.65625,\n",
-       "     612781.5625,\n",
-       "     267908.5625,\n",
-       "     0.0,\n",
-       "     571642.0625,\n",
-       "     463044.40625,\n",
-       "     57377.43359375,\n",
-       "     0.0,\n",
-       "     168675.0625,\n",
-       "     1201906.625,\n",
-       "     388780.8125,\n",
-       "     11363148.0,\n",
-       "     261625.84375,\n",
-       "     0.0,\n",
-       "     2241.8837890625,\n",
-       "     144121.09375,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     218747.8125,\n",
-       "     278207.09375,\n",
-       "     747.2945556640625,\n",
-       "     345443.75,\n",
-       "     0.0,\n",
-       "     146790.0,\n",
-       "     0.0,\n",
-       "     401715.375,\n",
-       "     37364.7265625,\n",
-       "     867228.125,\n",
-       "     599923.875,\n",
-       "     2174702.0,\n",
-       "     4364728.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     568339.0625,\n",
-       "     0.0,\n",
-       "     202837.09375,\n",
-       "     437701.09375,\n",
-       "     157239.265625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     69761.015625,\n",
-       "     1000200.375,\n",
-       "     2674366.0,\n",
-       "     9783340.0,\n",
-       "     2709460.0,\n",
-       "     0.0,\n",
-       "     112799.6015625,\n",
-       "     1761479.5,\n",
-       "     0.0,\n",
-       "     558588.375,\n",
-       "     0.0,\n",
-       "     94621.3671875,\n",
-       "     245539.640625,\n",
-       "     1708.101806640625,\n",
-       "     401537.375,\n",
-       "     551369.875,\n",
-       "     0.0,\n",
-       "     809234.5,\n",
-       "     1515940.375,\n",
-       "     0.0,\n",
-       "     299131.34375,\n",
-       "     454782.125,\n",
-       "     0.0,\n",
-       "     396117.375,\n",
-       "     133445.453125,\n",
-       "     0.0,\n",
-       "     611.7139892578125,\n",
-       "     733528.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     945911.125,\n",
-       "     0.0,\n",
-       "     229664.171875,\n",
-       "     812766.875,\n",
-       "     0.0,\n",
-       "     1996.343994140625,\n",
-       "     90597.6015625,\n",
-       "     1357006.875,\n",
-       "     1305630.375,\n",
-       "     0.0,\n",
-       "     922372.625,\n",
-       "     600184.25,\n",
-       "     286107.0625,\n",
-       "     347532.5625,\n",
-       "     1229477.875,\n",
-       "     722080.6875,\n",
-       "     123610.0078125,\n",
-       "     0.0,\n",
-       "     1044381.5625,\n",
-       "     373647.28125,\n",
-       "     1152968.75,\n",
-       "     365036.3125,\n",
-       "     0.0,\n",
-       "     371305.4375,\n",
-       "     349995.09375,\n",
-       "     6031.73486328125,\n",
-       "     279274.65625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     563436.625,\n",
-       "     0.0,\n",
-       "     30959.345703125,\n",
-       "     1680861.5,\n",
-       "     25621.52734375,\n",
-       "     389024.71875,\n",
-       "     264538.9375,\n",
-       "     528321.5,\n",
-       "     297465.03125,\n",
-       "     49310.765625,\n",
-       "     668460.625,\n",
-       "     0.0,\n",
-       "     4270.25439453125,\n",
-       "     480403.65625,\n",
-       "     103623.34375,\n",
-       "     87633.1171875,\n",
-       "     0.0,\n",
-       "     1344598.25,\n",
-       "     880873.75,\n",
-       "     74954.875,\n",
-       "     26689.091796875,\n",
-       "     486815.5,\n",
-       "     2053774.5,\n",
-       "     309809.8125,\n",
-       "     992282.0625,\n",
-       "     241269.375,\n",
-       "     512430.5625,\n",
-       "     3384459.5,\n",
-       "     0.0,\n",
-       "     3565732.0,\n",
-       "     1270852.25,\n",
-       "     2651828.0,\n",
-       "     0.0,\n",
-       "     640.5382080078125,\n",
-       "     21992.201171875,\n",
-       "     0.0,\n",
-       "     455849.6875,\n",
-       "     341620.375,\n",
-       "     18699.4453125,\n",
-       "     4655.64501953125,\n",
-       "     102059.4765625,\n",
-       "     947192.875,\n",
-       "     2668.9091796875,\n",
-       "     471935.0625,\n",
-       "     49992.6640625,\n",
-       "     0.0,\n",
-       "     800.6727294921875,\n",
-       "     389024.71875,\n",
-       "     719361.625,\n",
-       "     98429.3671875,\n",
-       "     744776.0625,\n",
-       "     293580.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     29487.880859375,\n",
-       "     775404.125,\n",
-       "     92878.0390625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     236225.703125,\n",
-       "     619226.5,\n",
-       "     639834.8125,\n",
-       "     202143.8125,\n",
-       "     680656.9375,\n",
-       "     1459632.5,\n",
-       "     601194.1875,\n",
-       "     441779.5625,\n",
-       "     92878.0390625,\n",
-       "     441469.25,\n",
-       "     3736.472900390625,\n",
-       "     107060.6171875,\n",
-       "     271743.09375,\n",
-       "     1150086.375,\n",
-       "     112799.6015625,\n",
-       "     34083.0390625,\n",
-       "     318667.75,\n",
-       "     2215096.0,\n",
-       "     501314.8125,\n",
-       "     106756.3671875,\n",
-       "     2150325.0,\n",
-       "     838684.8125,\n",
-       "     49107.9296875,\n",
-       "     375615.625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     216086.890625,\n",
-       "     117432.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     383866.8125,\n",
-       "     1096381.375,\n",
-       "     367798.4375,\n",
-       "     61863.8828125,\n",
-       "     0.0,\n",
-       "     183620.953125,\n",
-       "     320269.09375,\n",
-       "     145188.65625,\n",
-       "     981339.125,\n",
-       "     345522.3125,\n",
-       "     1310912.125,\n",
-       "     1400643.25,\n",
-       "     2522832.5,\n",
-       "     0.0,\n",
-       "     108243.484375,\n",
-       "     0.0,\n",
-       "     234324.0,\n",
-       "     575492.125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     809791.625,\n",
-       "     1125291.75,\n",
-       "     336287.65625,\n",
-       "     855107.0,\n",
-       "     69391.640625,\n",
-       "     183300.6875,\n",
-       "     744314.125,\n",
-       "     20283.708984375,\n",
-       "     816266.625,\n",
-       "     302120.5,\n",
-       "     1218761.625,\n",
-       "     478432.875,\n",
-       "     2060763.25,\n",
-       "     0.0,\n",
-       "     1884897.25,\n",
-       "     0.0,\n",
-       "     747497.0,\n",
-       "     0.0,\n",
-       "     800557.625,\n",
-       "     197660.40625,\n",
-       "     1775358.375,\n",
-       "     0.0,\n",
-       "     160134.546875,\n",
-       "     332290.90625,\n",
-       "     0.0,\n",
-       "     303897.6875,\n",
-       "     4655.64501953125,\n",
-       "     1490871.25,\n",
-       "     812121.625,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     509824.25,\n",
-       "     0.0,\n",
-       "     3210802.0,\n",
-       "     256215.28125,\n",
-       "     7965.1640625,\n",
-       "     250993.109375,\n",
-       "     350722.28125,\n",
-       "     0.0,\n",
-       "     1131995.375,\n",
-       "     0.0,\n",
-       "     546592.5625,\n",
-       "     1140392.5,\n",
-       "     1248230.25,\n",
-       "     8540.5087890625,\n",
-       "     147323.78125,\n",
-       "     577273.9375,\n",
-       "     1260030.625,\n",
-       "     369377.03125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     447224.5625,\n",
-       "     0.0,\n",
-       "     120898.3828125,\n",
-       "     281836.8125,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     151594.046875,\n",
-       "     319201.53125,\n",
-       "     18110.25,\n",
-       "     0.0,\n",
-       "     106756.3671875,\n",
-       "     0.0,\n",
-       "     2610416.5,\n",
-       "     372280.3125,\n",
-       "     1293597.25,\n",
-       "     363398.65625,\n",
-       "     2361640.25,\n",
-       "     2731340.0,\n",
-       "     1266474.25,\n",
-       "     368371.75,\n",
-       "     1625985.25,\n",
-       "     572397.4375,\n",
-       "     1067.5635986328125,\n",
-       "     405674.1875,\n",
-       "     106.75636291503906,\n",
-       "     0.0,\n",
-       "     1390957.25,\n",
-       "     213512.734375,\n",
-       "     334487.5625,\n",
-       "     521504.84375,\n",
-       "     764555.75,\n",
-       "     4493188.0,\n",
-       "     0.0,\n",
-       "     624848.25,\n",
-       "     273296.28125,\n",
-       "     675927.9375,\n",
-       "     1327808.25,\n",
-       "     0.0,\n",
-       "     2.135127305984497,\n",
-       "     0.0,\n",
-       "     875297.0,\n",
-       "     237341.953125,\n",
-       "     170810.1875,\n",
-       "     709159.375,\n",
-       "     787353.0,\n",
-       "     0.0,\n",
-       "     346020.625,\n",
-       "     161735.890625,\n",
-       "     269559.8125,\n",
-       "     0.0,\n",
-       "     114400.5859375,\n",
-       "     289623.40625,\n",
-       "     676351.0,\n",
-       "     0.0,\n",
-       "     128107.640625,\n",
-       "     454938.5,\n",
-       "     511780.03125,\n",
-       "     0.0,\n",
-       "     866263.0625,\n",
-       "     236417.3125,\n",
-       "     0.0,\n",
-       "     108037.4453125,\n",
-       "     394998.5625,\n",
-       "     68441.3828125,\n",
-       "     666992.875,\n",
-       "     1780669.25,\n",
-       "     706966.75,\n",
-       "     524138.875,\n",
-       "     192161.453125,\n",
-       "     0.0,\n",
-       "     6405.3818359375,\n",
-       "     520125.8125,\n",
-       "     90464.03125,\n",
-       "     7657293.0,\n",
-       "     552046.75,\n",
-       "     0.0,\n",
-       "     195297.953125,\n",
-       "     0.0,\n",
-       "     743028.875,\n",
-       "     1068.6312255859375,\n",
-       "     1399576.0,\n",
-       "     0.0,\n",
-       "     3202.69091796875,\n",
-       "     364679.75,\n",
-       "     6287790.5,\n",
-       "     1381104.25,\n",
-       "     75691.828125,\n",
-       "     305323.1875,\n",
-       "     0.0,\n",
-       "     160134.546875,\n",
-       "     117432.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1504161.5,\n",
-       "     259496.6875,\n",
-       "     2139926.0,\n",
-       "     5543517.0,\n",
-       "     499861.125,\n",
-       "     1866738.25,\n",
-       "     0.0,\n",
-       "     475102.53125,\n",
-       "     661253.4375,\n",
-       "     1237351.125,\n",
-       "     387674.9375,\n",
-       "     1562918.625,\n",
-       "     160145.21875,\n",
-       "     864929.0,\n",
-       "     437914.59375,\n",
-       "     0.0,\n",
-       "     1601.345458984375,\n",
-       "     6252720.5,\n",
-       "     202837.09375,\n",
-       "     79912.171875,\n",
-       "     0.0,\n",
-       "     9608.0732421875,\n",
-       "     2633129.0,\n",
-       "     1549600.0,\n",
-       "     53187.84765625,\n",
-       "     213512.734375,\n",
-       "     1382672.5,\n",
-       "     494443.0,\n",
-       "     0.0,\n",
-       "     43267.06640625,\n",
-       "     225206.0,\n",
-       "     306390.75,\n",
-       "     1772155.75,\n",
-       "     0.0,\n",
-       "     559983.0,\n",
-       "     4845735.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     27.756654739379883,\n",
-       "     0.0,\n",
-       "     1878.9119873046875,\n",
-       "     337883.875,\n",
-       "     0.0,\n",
-       "     344081.8125,\n",
-       "     585745.5,\n",
-       "     182660.140625,\n",
-       "     0.0,\n",
-       "     187891.203125,\n",
-       "     0.0,\n",
-       "     192161.46875,\n",
-       "     394278.5625,\n",
-       "     585187.5,\n",
-       "     7342.24658203125,\n",
-       "     92465.9609375,\n",
-       "     595700.5,\n",
-       "     490311.3125,\n",
-       "     211252.6875,\n",
-       "     288242.1875,\n",
-       "     640126.75,\n",
-       "     97682.0703125,\n",
-       "     322730.53125,\n",
-       "     0.0,\n",
-       "     166017.609375,\n",
-       "     356165.5625,\n",
-       "     6677597.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     1180581.0,\n",
-       "     1026397.625,\n",
-       "     248735.0625,\n",
-       "     320523.96875,\n",
-       "     5934129.5,\n",
-       "     501912.25,\n",
-       "     1517408.0,\n",
-       "     517768.375,\n",
-       "     125065.078125,\n",
-       "     16753.146484375,\n",
-       "     0.0,\n",
-       "     618794.0625,\n",
-       "     18191.28515625,\n",
-       "     1100554.75,\n",
-       "     2929579.0,\n",
-       "     546756.0,\n",
-       "     0.0,\n",
-       "     1072856.25,\n",
-       "     255981.390625,\n",
-       "     497356.5625,\n",
-       "     390869.65625,\n",
-       "     339953.21875,\n",
-       "     3202.69091796875,\n",
-       "     1103408.875,\n",
-       "     1696551.25,\n",
-       "     620504.6875,\n",
-       "     337563.625,\n",
-       "     827564.25,\n",
-       "     1750743.75,\n",
-       "     1543906.75,\n",
-       "     1907432.0,\n",
-       "     747294.5625,\n",
-       "     2888960.25,\n",
-       "     2135.127197265625,\n",
-       "     2005883.25,\n",
-       "     0.0,\n",
-       "     1758220.25,\n",
-       "     122769.8203125,\n",
-       "     0.0,\n",
-       "     266.8908996582031,\n",
-       "     90742.9140625,\n",
-       "     986749.125,\n",
-       "     0.0,\n",
-       "     60824.84765625,\n",
-       "     245655.28125,\n",
-       "     0.0,\n",
-       "     587160.0,\n",
-       "     0.0,\n",
-       "     113161.75,\n",
-       "     68193.9609375,\n",
-       "     295274.375,\n",
-       "     78610.3203125,\n",
-       "     1310890.0,\n",
-       "     309377.0625,\n",
-       "     108338.7421875,\n",
-       "     2229072.0,\n",
-       "     320269.09375,\n",
-       "     0.0,\n",
-       "     335387.25,\n",
-       "     1708.101806640625,\n",
-       "     939412.1875,\n",
-       "     533.7817993164062,\n",
-       "     0.0,\n",
-       "     3581676.0,\n",
-       "     82560.2421875,\n",
-       "     848713.125,\n",
-       "     3177471.5,\n",
-       "     16013.455078125,\n",
-       "     10046951.0,\n",
-       "     4729.30712890625,\n",
-       "     0.0,\n",
-       "     309630.15625,\n",
-       "     325606.90625,\n",
-       "     793508.75,\n",
-       "     4804.03662109375,\n",
-       "     183514.203125,\n",
-       "     498994.25,\n",
-       "     479985.9375,\n",
-       "     ...],\n",
-       "    'wealth_decile': [7,\n",
-       "     2,\n",
-       "     8,\n",
-       "     9,\n",
-       "     7,\n",
-       "     5,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     10,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     10,\n",
-       "     9,\n",
-       "     9,\n",
-       "     10,\n",
-       "     7,\n",
-       "     8,\n",
-       "     7,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     6,\n",
-       "     2,\n",
-       "     10,\n",
-       "     10,\n",
-       "     8,\n",
-       "     10,\n",
-       "     6,\n",
-       "     10,\n",
-       "     10,\n",
-       "     3,\n",
-       "     9,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     6,\n",
-       "     8,\n",
-       "     9,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     9,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     7,\n",
-       "     3,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     3,\n",
-       "     10,\n",
-       "     4,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     10,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     9,\n",
-       "     2,\n",
-       "     6,\n",
-       "     10,\n",
-       "     3,\n",
-       "     2,\n",
-       "     8,\n",
-       "     6,\n",
-       "     3,\n",
-       "     5,\n",
-       "     10,\n",
-       "     9,\n",
-       "     3,\n",
-       "     6,\n",
-       "     8,\n",
-       "     4,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     7,\n",
-       "     6,\n",
-       "     4,\n",
-       "     6,\n",
-       "     5,\n",
-       "     2,\n",
-       "     9,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     5,\n",
-       "     8,\n",
-       "     2,\n",
-       "     6,\n",
-       "     5,\n",
-       "     5,\n",
-       "     10,\n",
-       "     5,\n",
-       "     2,\n",
-       "     5,\n",
-       "     8,\n",
-       "     5,\n",
-       "     8,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     10,\n",
-       "     9,\n",
-       "     4,\n",
-       "     3,\n",
-       "     4,\n",
-       "     8,\n",
-       "     4,\n",
-       "     10,\n",
-       "     8,\n",
-       "     6,\n",
-       "     3,\n",
-       "     3,\n",
-       "     9,\n",
-       "     10,\n",
-       "     10,\n",
-       "     10,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     4,\n",
-       "     7,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     4,\n",
-       "     4,\n",
-       "     9,\n",
-       "     9,\n",
-       "     9,\n",
-       "     3,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     9,\n",
-       "     4,\n",
-       "     7,\n",
-       "     3,\n",
-       "     8,\n",
-       "     9,\n",
-       "     5,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     7,\n",
-       "     5,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     9,\n",
-       "     3,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     6,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     7,\n",
-       "     2,\n",
-       "     5,\n",
-       "     10,\n",
-       "     6,\n",
-       "     10,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     10,\n",
-       "     6,\n",
-       "     2,\n",
-       "     8,\n",
-       "     4,\n",
-       "     5,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     8,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     10,\n",
-       "     5,\n",
-       "     6,\n",
-       "     6,\n",
-       "     7,\n",
-       "     8,\n",
-       "     7,\n",
-       "     6,\n",
-       "     8,\n",
-       "     8,\n",
-       "     4,\n",
-       "     9,\n",
-       "     4,\n",
-       "     5,\n",
-       "     10,\n",
-       "     10,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     10,\n",
-       "     5,\n",
-       "     5,\n",
-       "     8,\n",
-       "     3,\n",
-       "     5,\n",
-       "     8,\n",
-       "     2,\n",
-       "     9,\n",
-       "     6,\n",
-       "     9,\n",
-       "     9,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     7,\n",
-       "     4,\n",
-       "     9,\n",
-       "     6,\n",
-       "     4,\n",
-       "     9,\n",
-       "     5,\n",
-       "     5,\n",
-       "     4,\n",
-       "     6,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     7,\n",
-       "     8,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     10,\n",
-       "     8,\n",
-       "     2,\n",
-       "     5,\n",
-       "     8,\n",
-       "     8,\n",
-       "     3,\n",
-       "     2,\n",
-       "     7,\n",
-       "     6,\n",
-       "     6,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     6,\n",
-       "     10,\n",
-       "     5,\n",
-       "     8,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     8,\n",
-       "     9,\n",
-       "     4,\n",
-       "     3,\n",
-       "     3,\n",
-       "     4,\n",
-       "     4,\n",
-       "     7,\n",
-       "     4,\n",
-       "     8,\n",
-       "     2,\n",
-       "     7,\n",
-       "     7,\n",
-       "     6,\n",
-       "     8,\n",
-       "     10,\n",
-       "     10,\n",
-       "     4,\n",
-       "     8,\n",
-       "     8,\n",
-       "     5,\n",
-       "     7,\n",
-       "     7,\n",
-       "     2,\n",
-       "     9,\n",
-       "     10,\n",
-       "     9,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     5,\n",
-       "     8,\n",
-       "     8,\n",
-       "     8,\n",
-       "     2,\n",
-       "     10,\n",
-       "     10,\n",
-       "     2,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     8,\n",
-       "     8,\n",
-       "     2,\n",
-       "     5,\n",
-       "     10,\n",
-       "     7,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     9,\n",
-       "     4,\n",
-       "     2,\n",
-       "     9,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     9,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     6,\n",
-       "     6,\n",
-       "     6,\n",
-       "     4,\n",
-       "     5,\n",
-       "     10,\n",
-       "     4,\n",
-       "     3,\n",
-       "     7,\n",
-       "     2,\n",
-       "     8,\n",
-       "     8,\n",
-       "     5,\n",
-       "     7,\n",
-       "     4,\n",
-       "     5,\n",
-       "     3,\n",
-       "     8,\n",
-       "     2,\n",
-       "     7,\n",
-       "     5,\n",
-       "     10,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     7,\n",
-       "     10,\n",
-       "     2,\n",
-       "     5,\n",
-       "     9,\n",
-       "     9,\n",
-       "     2,\n",
-       "     7,\n",
-       "     6,\n",
-       "     7,\n",
-       "     2,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     10,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     10,\n",
-       "     10,\n",
-       "     5,\n",
-       "     4,\n",
-       "     7,\n",
-       "     6,\n",
-       "     2,\n",
-       "     9,\n",
-       "     7,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     5,\n",
-       "     9,\n",
-       "     6,\n",
-       "     10,\n",
-       "     8,\n",
-       "     4,\n",
-       "     3,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     6,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     2,\n",
-       "     4,\n",
-       "     10,\n",
-       "     10,\n",
-       "     6,\n",
-       "     5,\n",
-       "     8,\n",
-       "     10,\n",
-       "     2,\n",
-       "     3,\n",
-       "     7,\n",
-       "     7,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     9,\n",
-       "     9,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     4,\n",
-       "     9,\n",
-       "     5,\n",
-       "     4,\n",
-       "     8,\n",
-       "     2,\n",
-       "     9,\n",
-       "     2,\n",
-       "     9,\n",
-       "     4,\n",
-       "     8,\n",
-       "     6,\n",
-       "     2,\n",
-       "     9,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     10,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     7,\n",
-       "     9,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     3,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     9,\n",
-       "     4,\n",
-       "     3,\n",
-       "     6,\n",
-       "     7,\n",
-       "     5,\n",
-       "     8,\n",
-       "     6,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     5,\n",
-       "     2,\n",
-       "     7,\n",
-       "     7,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     9,\n",
-       "     6,\n",
-       "     10,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     6,\n",
-       "     3,\n",
-       "     8,\n",
-       "     7,\n",
-       "     10,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     10,\n",
-       "     10,\n",
-       "     10,\n",
-       "     2,\n",
-       "     4,\n",
-       "     10,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     6,\n",
-       "     7,\n",
-       "     2,\n",
-       "     8,\n",
-       "     9,\n",
-       "     2,\n",
-       "     6,\n",
-       "     7,\n",
-       "     2,\n",
-       "     6,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     5,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     9,\n",
-       "     9,\n",
-       "     2,\n",
-       "     8,\n",
-       "     7,\n",
-       "     5,\n",
-       "     6,\n",
-       "     9,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     9,\n",
-       "     6,\n",
-       "     9,\n",
-       "     6,\n",
-       "     2,\n",
-       "     6,\n",
-       "     6,\n",
-       "     3,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     3,\n",
-       "     10,\n",
-       "     3,\n",
-       "     6,\n",
-       "     5,\n",
-       "     7,\n",
-       "     5,\n",
-       "     4,\n",
-       "     8,\n",
-       "     2,\n",
-       "     3,\n",
-       "     7,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     9,\n",
-       "     8,\n",
-       "     4,\n",
-       "     3,\n",
-       "     7,\n",
-       "     10,\n",
-       "     6,\n",
-       "     8,\n",
-       "     5,\n",
-       "     7,\n",
-       "     10,\n",
-       "     2,\n",
-       "     10,\n",
-       "     9,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     7,\n",
-       "     6,\n",
-       "     3,\n",
-       "     3,\n",
-       "     4,\n",
-       "     8,\n",
-       "     3,\n",
-       "     7,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     8,\n",
-       "     4,\n",
-       "     8,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     8,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     7,\n",
-       "     5,\n",
-       "     8,\n",
-       "     9,\n",
-       "     7,\n",
-       "     6,\n",
-       "     4,\n",
-       "     6,\n",
-       "     3,\n",
-       "     4,\n",
-       "     5,\n",
-       "     9,\n",
-       "     4,\n",
-       "     3,\n",
-       "     6,\n",
-       "     10,\n",
-       "     7,\n",
-       "     4,\n",
-       "     10,\n",
-       "     8,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     9,\n",
-       "     6,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     4,\n",
-       "     8,\n",
-       "     6,\n",
-       "     9,\n",
-       "     9,\n",
-       "     10,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     9,\n",
-       "     6,\n",
-       "     8,\n",
-       "     4,\n",
-       "     5,\n",
-       "     8,\n",
-       "     3,\n",
-       "     8,\n",
-       "     6,\n",
-       "     9,\n",
-       "     7,\n",
-       "     10,\n",
-       "     2,\n",
-       "     10,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     8,\n",
-       "     5,\n",
-       "     10,\n",
-       "     2,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     6,\n",
-       "     3,\n",
-       "     9,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     10,\n",
-       "     5,\n",
-       "     3,\n",
-       "     5,\n",
-       "     6,\n",
-       "     2,\n",
-       "     9,\n",
-       "     2,\n",
-       "     7,\n",
-       "     9,\n",
-       "     9,\n",
-       "     3,\n",
-       "     4,\n",
-       "     7,\n",
-       "     9,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     6,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     10,\n",
-       "     6,\n",
-       "     9,\n",
-       "     6,\n",
-       "     10,\n",
-       "     10,\n",
-       "     9,\n",
-       "     6,\n",
-       "     10,\n",
-       "     7,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     5,\n",
-       "     6,\n",
-       "     7,\n",
-       "     8,\n",
-       "     10,\n",
-       "     2,\n",
-       "     7,\n",
-       "     5,\n",
-       "     8,\n",
-       "     9,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     8,\n",
-       "     5,\n",
-       "     5,\n",
-       "     8,\n",
-       "     8,\n",
-       "     2,\n",
-       "     6,\n",
-       "     5,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     8,\n",
-       "     2,\n",
-       "     4,\n",
-       "     7,\n",
-       "     7,\n",
-       "     2,\n",
-       "     8,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     6,\n",
-       "     4,\n",
-       "     8,\n",
-       "     10,\n",
-       "     8,\n",
-       "     7,\n",
-       "     5,\n",
-       "     2,\n",
-       "     3,\n",
-       "     7,\n",
-       "     4,\n",
-       "     10,\n",
-       "     7,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     9,\n",
-       "     2,\n",
-       "     3,\n",
-       "     6,\n",
-       "     10,\n",
-       "     9,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     5,\n",
-       "     10,\n",
-       "     10,\n",
-       "     7,\n",
-       "     10,\n",
-       "     2,\n",
-       "     7,\n",
-       "     8,\n",
-       "     9,\n",
-       "     6,\n",
-       "     9,\n",
-       "     4,\n",
-       "     8,\n",
-       "     6,\n",
-       "     2,\n",
-       "     2,\n",
-       "     10,\n",
-       "     5,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     10,\n",
-       "     9,\n",
-       "     4,\n",
-       "     5,\n",
-       "     9,\n",
-       "     7,\n",
-       "     2,\n",
-       "     3,\n",
-       "     5,\n",
-       "     6,\n",
-       "     10,\n",
-       "     2,\n",
-       "     7,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     6,\n",
-       "     7,\n",
-       "     5,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     7,\n",
-       "     3,\n",
-       "     4,\n",
-       "     7,\n",
-       "     7,\n",
-       "     5,\n",
-       "     5,\n",
-       "     7,\n",
-       "     4,\n",
-       "     6,\n",
-       "     2,\n",
-       "     5,\n",
-       "     6,\n",
-       "     10,\n",
-       "     2,\n",
-       "     2,\n",
-       "     9,\n",
-       "     9,\n",
-       "     5,\n",
-       "     6,\n",
-       "     10,\n",
-       "     7,\n",
-       "     9,\n",
-       "     7,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     7,\n",
-       "     3,\n",
-       "     9,\n",
-       "     10,\n",
-       "     7,\n",
-       "     2,\n",
-       "     9,\n",
-       "     5,\n",
-       "     7,\n",
-       "     6,\n",
-       "     6,\n",
-       "     3,\n",
-       "     9,\n",
-       "     10,\n",
-       "     7,\n",
-       "     6,\n",
-       "     8,\n",
-       "     10,\n",
-       "     9,\n",
-       "     10,\n",
-       "     8,\n",
-       "     10,\n",
-       "     2,\n",
-       "     10,\n",
-       "     2,\n",
-       "     10,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     8,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     5,\n",
-       "     4,\n",
-       "     9,\n",
-       "     6,\n",
-       "     4,\n",
-       "     10,\n",
-       "     6,\n",
-       "     2,\n",
-       "     6,\n",
-       "     2,\n",
-       "     8,\n",
-       "     2,\n",
-       "     2,\n",
-       "     10,\n",
-       "     4,\n",
-       "     8,\n",
-       "     10,\n",
-       "     3,\n",
-       "     10,\n",
-       "     3,\n",
-       "     2,\n",
-       "     6,\n",
-       "     6,\n",
-       "     8,\n",
-       "     3,\n",
-       "     5,\n",
-       "     7,\n",
-       "     7,\n",
-       "     ...],\n",
-       "    'in_poverty': [False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     ...],\n",
-       "    'person_in_poverty': [False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     ...],\n",
-       "    'person_in_deep_poverty': [False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     ...],\n",
-       "    'poverty_gap': 8683469610.154083,\n",
-       "    'deep_poverty_gap': 601727280.8075405,\n",
-       "    'poverty_rate': 0.07729838532173021,\n",
-       "    'deep_poverty_rate': 0.004887588140030611},\n",
-       "   'demographics': {'household_count_people': [3,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     5,\n",
-       "     1,\n",
-       "     6,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     9,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     5,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     6,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     6,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     6,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     6,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     7,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     6,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     3,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     3,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     5,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     5,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     5,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     4,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     1,\n",
-       "     1,\n",
-       "     5,\n",
-       "     4,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     5,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     3,\n",
-       "     3,\n",
-       "     5,\n",
-       "     2,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     3,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     1,\n",
-       "     4,\n",
-       "     4,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     2,\n",
-       "     1,\n",
-       "     2,\n",
-       "     2,\n",
-       "     4,\n",
-       "     2,\n",
-       "     3,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     2,\n",
-       "     1,\n",
-       "     1,\n",
-       "     2,\n",
-       "     3,\n",
-       "     ...],\n",
-       "    'person_weight': [28.242149353027344,\n",
-       "     28.242149353027344,\n",
-       "     28.242149353027344,\n",
-       "     46.80501937866211,\n",
-       "     46.80501937866211,\n",
-       "     46.80501937866211,\n",
-       "     23.999473571777344,\n",
-       "     23.999473571777344,\n",
-       "     23.999473571777344,\n",
-       "     40.036590576171875,\n",
-       "     40.036590576171875,\n",
-       "     319.1246032714844,\n",
-       "     319.1246032714844,\n",
-       "     58.23358154296875,\n",
-       "     58.23358154296875,\n",
-       "     58.23358154296875,\n",
-       "     290.2938537597656,\n",
-       "     290.2938537597656,\n",
-       "     10.826322555541992,\n",
-       "     10.826322555541992,\n",
-       "     18.18562889099121,\n",
-       "     32.117332458496094,\n",
-       "     32.117332458496094,\n",
-       "     43.09082794189453,\n",
-       "     43.09082794189453,\n",
-       "     43.09082794189453,\n",
-       "     43.09082794189453,\n",
-       "     31.772851943969727,\n",
-       "     31.772851943969727,\n",
-       "     31.772851943969727,\n",
-       "     31.772851943969727,\n",
-       "     31.772851943969727,\n",
-       "     20.178485870361328,\n",
-       "     20.178485870361328,\n",
-       "     18.06965446472168,\n",
-       "     18.06965446472168,\n",
-       "     18.671987533569336,\n",
-       "     209.88294982910156,\n",
-       "     209.88294982910156,\n",
-       "     21.307418823242188,\n",
-       "     21.307418823242188,\n",
-       "     114.24542236328125,\n",
-       "     114.24542236328125,\n",
-       "     33.831478118896484,\n",
-       "     33.831478118896484,\n",
-       "     33.831478118896484,\n",
-       "     33.831478118896484,\n",
-       "     44.90141677856445,\n",
-       "     44.90141677856445,\n",
-       "     44.90141677856445,\n",
-       "     45.325626373291016,\n",
-       "     45.325626373291016,\n",
-       "     45.325626373291016,\n",
-       "     45.325626373291016,\n",
-       "     45.325626373291016,\n",
-       "     24.144590377807617,\n",
-       "     79.82612609863281,\n",
-       "     79.82612609863281,\n",
-       "     79.82612609863281,\n",
-       "     79.82612609863281,\n",
-       "     79.82612609863281,\n",
-       "     79.82612609863281,\n",
-       "     14.016646385192871,\n",
-       "     282.30853271484375,\n",
-       "     282.30853271484375,\n",
-       "     34.989463806152344,\n",
-       "     34.989463806152344,\n",
-       "     21.942724227905273,\n",
-       "     21.942724227905273,\n",
-       "     205.44015502929688,\n",
-       "     205.44015502929688,\n",
-       "     39.89904022216797,\n",
-       "     39.89904022216797,\n",
-       "     19.02444076538086,\n",
-       "     29.60257911682129,\n",
-       "     29.60257911682129,\n",
-       "     104.54341125488281,\n",
-       "     104.54341125488281,\n",
-       "     94.42530822753906,\n",
-       "     94.42530822753906,\n",
-       "     94.42530822753906,\n",
-       "     94.42530822753906,\n",
-       "     63.71830368041992,\n",
-       "     63.71830368041992,\n",
-       "     30.37379264831543,\n",
-       "     30.37379264831543,\n",
-       "     30.37379264831543,\n",
-       "     30.37379264831543,\n",
-       "     746.3109741210938,\n",
-       "     746.3109741210938,\n",
-       "     746.3109741210938,\n",
-       "     746.3109741210938,\n",
-       "     262.5146179199219,\n",
-       "     262.5146179199219,\n",
-       "     301.7978210449219,\n",
-       "     301.7978210449219,\n",
-       "     301.7978210449219,\n",
-       "     59.51349639892578,\n",
-       "     59.51349639892578,\n",
-       "     39.839420318603516,\n",
-       "     25.185821533203125,\n",
-       "     25.185821533203125,\n",
-       "     36.8460807800293,\n",
-       "     36.8460807800293,\n",
-       "     47.40287399291992,\n",
-       "     47.40287399291992,\n",
-       "     47.40287399291992,\n",
-       "     47.40287399291992,\n",
-       "     28.797687530517578,\n",
-       "     38.371482849121094,\n",
-       "     38.371482849121094,\n",
-       "     7.789304256439209,\n",
-       "     6.997937202453613,\n",
-       "     111.38818359375,\n",
-       "     111.38818359375,\n",
-       "     40.009578704833984,\n",
-       "     40.009578704833984,\n",
-       "     212.98501586914062,\n",
-       "     212.98501586914062,\n",
-       "     23.419477462768555,\n",
-       "     73.20986938476562,\n",
-       "     73.20986938476562,\n",
-       "     110.51835632324219,\n",
-       "     110.51835632324219,\n",
-       "     92.79043579101562,\n",
-       "     92.79043579101562,\n",
-       "     184.57461547851562,\n",
-       "     184.57461547851562,\n",
-       "     184.57461547851562,\n",
-       "     184.57461547851562,\n",
-       "     184.57461547851562,\n",
-       "     184.57461547851562,\n",
-       "     9.06320858001709,\n",
-       "     7.600617408752441,\n",
-       "     29.39621925354004,\n",
-       "     29.39621925354004,\n",
-       "     29.39621925354004,\n",
-       "     29.39621925354004,\n",
-       "     36.01832962036133,\n",
-       "     27.438125610351562,\n",
-       "     27.438125610351562,\n",
-       "     56.51862335205078,\n",
-       "     56.51862335205078,\n",
-       "     34.7610969543457,\n",
-       "     28.407873153686523,\n",
-       "     28.407873153686523,\n",
-       "     28.407873153686523,\n",
-       "     28.407873153686523,\n",
-       "     46.22690200805664,\n",
-       "     46.22690200805664,\n",
-       "     184.8269500732422,\n",
-       "     28.927675247192383,\n",
-       "     28.927675247192383,\n",
-       "     81.71466827392578,\n",
-       "     81.71466827392578,\n",
-       "     80.8134765625,\n",
-       "     80.8134765625,\n",
-       "     94.04654693603516,\n",
-       "     94.04654693603516,\n",
-       "     9.590133666992188,\n",
-       "     9.590133666992188,\n",
-       "     9.590133666992188,\n",
-       "     1194.1971435546875,\n",
-       "     1194.1971435546875,\n",
-       "     1194.1971435546875,\n",
-       "     1194.1971435546875,\n",
-       "     76.40959167480469,\n",
-       "     76.40959167480469,\n",
-       "     20.353389739990234,\n",
-       "     20.353389739990234,\n",
-       "     20.353389739990234,\n",
-       "     20.353389739990234,\n",
-       "     20.353389739990234,\n",
-       "     33.174442291259766,\n",
-       "     33.174442291259766,\n",
-       "     45.14307403564453,\n",
-       "     45.14307403564453,\n",
-       "     45.14307403564453,\n",
-       "     45.14307403564453,\n",
-       "     45.14307403564453,\n",
-       "     53.31949996948242,\n",
-       "     53.31949996948242,\n",
-       "     30.570446014404297,\n",
-       "     26.836687088012695,\n",
-       "     74.53304290771484,\n",
-       "     74.53304290771484,\n",
-       "     74.53304290771484,\n",
-       "     74.53304290771484,\n",
-       "     74.53304290771484,\n",
-       "     134.6366729736328,\n",
-       "     28.297229766845703,\n",
-       "     38.551185607910156,\n",
-       "     19.281497955322266,\n",
-       "     30.92945671081543,\n",
-       "     30.92945671081543,\n",
-       "     30.92945671081543,\n",
-       "     30.92945671081543,\n",
-       "     90.17884063720703,\n",
-       "     90.17884063720703,\n",
-       "     90.17884063720703,\n",
-       "     154.83297729492188,\n",
-       "     154.83297729492188,\n",
-       "     154.83297729492188,\n",
-       "     154.83297729492188,\n",
-       "     41.390586853027344,\n",
-       "     41.390586853027344,\n",
-       "     25.554105758666992,\n",
-       "     19.096031188964844,\n",
-       "     23.780738830566406,\n",
-       "     23.780738830566406,\n",
-       "     71.38541412353516,\n",
-       "     71.38541412353516,\n",
-       "     69.7490005493164,\n",
-       "     490.34344482421875,\n",
-       "     490.34344482421875,\n",
-       "     1640.6968994140625,\n",
-       "     1640.6968994140625,\n",
-       "     26.102113723754883,\n",
-       "     8.504029273986816,\n",
-       "     8.504029273986816,\n",
-       "     8.9138822555542,\n",
-       "     8.9138822555542,\n",
-       "     30.532691955566406,\n",
-       "     26.963403701782227,\n",
-       "     123.43195343017578,\n",
-       "     123.43195343017578,\n",
-       "     19.758426666259766,\n",
-       "     23.556047439575195,\n",
-       "     23.556047439575195,\n",
-       "     21.44287109375,\n",
-       "     47.156822204589844,\n",
-       "     47.156822204589844,\n",
-       "     83.73397064208984,\n",
-       "     83.73397064208984,\n",
-       "     116.41424560546875,\n",
-       "     116.41424560546875,\n",
-       "     53.18351364135742,\n",
-       "     53.18351364135742,\n",
-       "     16.176658630371094,\n",
-       "     43.51107406616211,\n",
-       "     43.51107406616211,\n",
-       "     7.990398406982422,\n",
-       "     39.139984130859375,\n",
-       "     39.139984130859375,\n",
-       "     39.13148498535156,\n",
-       "     77.44499206542969,\n",
-       "     244.87086486816406,\n",
-       "     244.87086486816406,\n",
-       "     32.5803108215332,\n",
-       "     32.5803108215332,\n",
-       "     32.5803108215332,\n",
-       "     8.641592979431152,\n",
-       "     34.258522033691406,\n",
-       "     8736.19140625,\n",
-       "     8736.19140625,\n",
-       "     8736.19140625,\n",
-       "     8736.19140625,\n",
-       "     44.93291091918945,\n",
-       "     44.93291091918945,\n",
-       "     63.7723503112793,\n",
-       "     61.97844696044922,\n",
-       "     61.97844696044922,\n",
-       "     32.464134216308594,\n",
-       "     23.566247940063477,\n",
-       "     23.566247940063477,\n",
-       "     23.566247940063477,\n",
-       "     23.566247940063477,\n",
-       "     16645.962890625,\n",
-       "     16645.962890625,\n",
-       "     16645.962890625,\n",
-       "     16645.962890625,\n",
-       "     8.623653411865234,\n",
-       "     127.91293334960938,\n",
-       "     127.91293334960938,\n",
-       "     127.91293334960938,\n",
-       "     127.91293334960938,\n",
-       "     37.4765510559082,\n",
-       "     111.99394989013672,\n",
-       "     111.99394989013672,\n",
-       "     111.99394989013672,\n",
-       "     125.22480010986328,\n",
-       "     125.22480010986328,\n",
-       "     114.73353576660156,\n",
-       "     114.73353576660156,\n",
-       "     1555.2490234375,\n",
-       "     1555.2490234375,\n",
-       "     1555.2490234375,\n",
-       "     1555.2490234375,\n",
-       "     24.17667007446289,\n",
-       "     24.17667007446289,\n",
-       "     24.17667007446289,\n",
-       "     244.0413818359375,\n",
-       "     244.0413818359375,\n",
-       "     244.0413818359375,\n",
-       "     244.0413818359375,\n",
-       "     74.58797454833984,\n",
-       "     74.58797454833984,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     16150.6162109375,\n",
-       "     24.592029571533203,\n",
-       "     100.23110961914062,\n",
-       "     8.019574165344238,\n",
-       "     22.024221420288086,\n",
-       "     196.55812072753906,\n",
-       "     196.55812072753906,\n",
-       "     10.0629301071167,\n",
-       "     26.633651733398438,\n",
-       "     9.341270446777344,\n",
-       "     9.341270446777344,\n",
-       "     9.341270446777344,\n",
-       "     160.00205993652344,\n",
-       "     25.090591430664062,\n",
-       "     25.090591430664062,\n",
-       "     27.958616256713867,\n",
-       "     27.958616256713867,\n",
-       "     33.413421630859375,\n",
-       "     56.58835983276367,\n",
-       "     75.11299133300781,\n",
-       "     75.11299133300781,\n",
-       "     90.420654296875,\n",
-       "     32.67418670654297,\n",
-       "     54.854827880859375,\n",
-       "     65.36970520019531,\n",
-       "     65.36970520019531,\n",
-       "     15.61748218536377,\n",
-       "     15.61748218536377,\n",
-       "     15.61748218536377,\n",
-       "     34.05690383911133,\n",
-       "     34.05690383911133,\n",
-       "     34.05690383911133,\n",
-       "     34.05690383911133,\n",
-       "     767.959716796875,\n",
-       "     767.959716796875,\n",
-       "     767.959716796875,\n",
-       "     767.959716796875,\n",
-       "     767.959716796875,\n",
-       "     39.399654388427734,\n",
-       "     39.399654388427734,\n",
-       "     39.399654388427734,\n",
-       "     29.0726375579834,\n",
-       "     29.0726375579834,\n",
-       "     29.0726375579834,\n",
-       "     82.9017333984375,\n",
-       "     82.9017333984375,\n",
-       "     51.59709930419922,\n",
-       "     51.59709930419922,\n",
-       "     36.804237365722656,\n",
-       "     28.704092025756836,\n",
-       "     28.704092025756836,\n",
-       "     28.704092025756836,\n",
-       "     28.704092025756836,\n",
-       "     28.704092025756836,\n",
-       "     142.19129943847656,\n",
-       "     142.19129943847656,\n",
-       "     29.95490264892578,\n",
-       "     29.95490264892578,\n",
-       "     29.95490264892578,\n",
-       "     29.95490264892578,\n",
-       "     50.495479583740234,\n",
-       "     160.04151916503906,\n",
-       "     160.04151916503906,\n",
-       "     160.04151916503906,\n",
-       "     160.04151916503906,\n",
-       "     95.4728775024414,\n",
-       "     13.032922744750977,\n",
-       "     13.032922744750977,\n",
-       "     438.0936584472656,\n",
-       "     25.435516357421875,\n",
-       "     62.001888275146484,\n",
-       "     62.001888275146484,\n",
-       "     62.001888275146484,\n",
-       "     62.001888275146484,\n",
-       "     62.001888275146484,\n",
-       "     18.926958084106445,\n",
-       "     79.778564453125,\n",
-       "     24.411231994628906,\n",
-       "     30.95073890686035,\n",
-       "     23.880308151245117,\n",
-       "     98.3361587524414,\n",
-       "     98.3361587524414,\n",
-       "     53.99956512451172,\n",
-       "     31.282690048217773,\n",
-       "     31.282690048217773,\n",
-       "     24.828489303588867,\n",
-       "     95.39952087402344,\n",
-       "     95.39952087402344,\n",
-       "     29.91636848449707,\n",
-       "     29.91636848449707,\n",
-       "     29.91636848449707,\n",
-       "     29.046144485473633,\n",
-       "     29.046144485473633,\n",
-       "     280.32794189453125,\n",
-       "     280.32794189453125,\n",
-       "     52.531494140625,\n",
-       "     52.531494140625,\n",
-       "     32.828460693359375,\n",
-       "     32.828460693359375,\n",
-       "     21.872875213623047,\n",
-       "     31.914512634277344,\n",
-       "     60.90550231933594,\n",
-       "     60.90550231933594,\n",
-       "     24.419986724853516,\n",
-       "     26.44912338256836,\n",
-       "     26.44912338256836,\n",
-       "     57.484676361083984,\n",
-       "     57.484676361083984,\n",
-       "     7.871554374694824,\n",
-       "     179.61581420898438,\n",
-       "     179.61581420898438,\n",
-       "     179.61581420898438,\n",
-       "     179.61581420898438,\n",
-       "     179.61581420898438,\n",
-       "     8.477884292602539,\n",
-       "     72.51541900634766,\n",
-       "     72.51541900634766,\n",
-       "     20.13242530822754,\n",
-       "     23.228296279907227,\n",
-       "     28.653247833251953,\n",
-       "     12.58013916015625,\n",
-       "     12.58013916015625,\n",
-       "     12.58013916015625,\n",
-       "     23.084768295288086,\n",
-       "     68.72532653808594,\n",
-       "     68.72532653808594,\n",
-       "     30.086450576782227,\n",
-       "     30.086450576782227,\n",
-       "     52.67949295043945,\n",
-       "     52.67949295043945,\n",
-       "     38.49380111694336,\n",
-       "     38.49380111694336,\n",
-       "     37.2798957824707,\n",
-       "     37.2798957824707,\n",
-       "     48.809207916259766,\n",
-       "     48.809207916259766,\n",
-       "     48.809207916259766,\n",
-       "     48.809207916259766,\n",
-       "     59.176551818847656,\n",
-       "     59.176551818847656,\n",
-       "     59.176551818847656,\n",
-       "     44.63967514038086,\n",
-       "     42.50554275512695,\n",
-       "     29.16765022277832,\n",
-       "     134.17138671875,\n",
-       "     134.17138671875,\n",
-       "     134.17138671875,\n",
-       "     134.17138671875,\n",
-       "     134.17138671875,\n",
-       "     33.469566345214844,\n",
-       "     33.469566345214844,\n",
-       "     26.317380905151367,\n",
-       "     85.4616470336914,\n",
-       "     85.4616470336914,\n",
-       "     85.4616470336914,\n",
-       "     85.4616470336914,\n",
-       "     85.4616470336914,\n",
-       "     13.612092971801758,\n",
-       "     21.696300506591797,\n",
-       "     25.094533920288086,\n",
-       "     25.094533920288086,\n",
-       "     83.97547912597656,\n",
-       "     83.97547912597656,\n",
-       "     35.32173156738281,\n",
-       "     35.32173156738281,\n",
-       "     26.05023956298828,\n",
-       "     26.05023956298828,\n",
-       "     26.05023956298828,\n",
-       "     20.915502548217773,\n",
-       "     23.04576873779297,\n",
-       "     28.619813919067383,\n",
-       "     28.619813919067383,\n",
-       "     28.61835289001465,\n",
-       "     33.329410552978516,\n",
-       "     17.94207763671875,\n",
-       "     17.94207763671875,\n",
-       "     17.94207763671875,\n",
-       "     9.63046646118164,\n",
-       "     9.63046646118164,\n",
-       "     95.58506774902344,\n",
-       "     95.58506774902344,\n",
-       "     95.58506774902344,\n",
-       "     95.58506774902344,\n",
-       "     52.847835540771484,\n",
-       "     41.31187057495117,\n",
-       "     41.31187057495117,\n",
-       "     31.275516510009766,\n",
-       "     26494.5234375,\n",
-       "     26494.5234375,\n",
-       "     26494.5234375,\n",
-       "     26494.5234375,\n",
-       "     30.938993453979492,\n",
-       "     30.938993453979492,\n",
-       "     59.856266021728516,\n",
-       "     43.062042236328125,\n",
-       "     43.062042236328125,\n",
-       "     44.59657287597656,\n",
-       "     51.06792068481445,\n",
-       "     102.48807525634766,\n",
-       "     102.48807525634766,\n",
-       "     3726.961669921875,\n",
-       "     3726.961669921875,\n",
-       "     26.917036056518555,\n",
-       "     18.76892852783203,\n",
-       "     18.76892852783203,\n",
-       "     18.76892852783203,\n",
-       "     18.76892852783203,\n",
-       "     25.2055606842041,\n",
-       "     84.37887573242188,\n",
-       "     44.74599838256836,\n",
-       "     44.74599838256836,\n",
-       "     17.199106216430664,\n",
-       "     36.21172332763672,\n",
-       "     36.21172332763672,\n",
-       "     35.43221664428711,\n",
-       "     24.235986709594727,\n",
-       "     1349.5811767578125,\n",
-       "     1349.5811767578125,\n",
-       "     140.4710693359375,\n",
-       "     140.4710693359375,\n",
-       "     31.35894012451172,\n",
-       "     31.35894012451172,\n",
-       "     31.35894012451172,\n",
-       "     31.35894012451172,\n",
-       "     23.45647621154785,\n",
-       "     25.17761993408203,\n",
-       "     25.17761993408203,\n",
-       "     37.43434524536133,\n",
-       "     37.43434524536133,\n",
-       "     37.43434524536133,\n",
-       "     53.80603790283203,\n",
-       "     31.383758544921875,\n",
-       "     53.90730667114258,\n",
-       "     53.90730667114258,\n",
-       "     343.1087646484375,\n",
-       "     343.1087646484375,\n",
-       "     38.38011169433594,\n",
-       "     38.38011169433594,\n",
-       "     38.38011169433594,\n",
-       "     38.38011169433594,\n",
-       "     39.77899169921875,\n",
-       "     112.42691802978516,\n",
-       "     112.42691802978516,\n",
-       "     112.42691802978516,\n",
-       "     112.42691802978516,\n",
-       "     122.82071685791016,\n",
-       "     122.82071685791016,\n",
-       "     20.101877212524414,\n",
-       "     18.68659019470215,\n",
-       "     204.53883361816406,\n",
-       "     204.53883361816406,\n",
-       "     57.286155700683594,\n",
-       "     14.508488655090332,\n",
-       "     14.508488655090332,\n",
-       "     14.508488655090332,\n",
-       "     14.508488655090332,\n",
-       "     39.236366271972656,\n",
-       "     39.236366271972656,\n",
-       "     39.236366271972656,\n",
-       "     23.45498275756836,\n",
-       "     23.45498275756836,\n",
-       "     25.313365936279297,\n",
-       "     25.313365936279297,\n",
-       "     25.313365936279297,\n",
-       "     7.640000343322754,\n",
-       "     55.74361801147461,\n",
-       "     55.74361801147461,\n",
-       "     55.74361801147461,\n",
-       "     118.56034851074219,\n",
-       "     118.56034851074219,\n",
-       "     118.56034851074219,\n",
-       "     118.56034851074219,\n",
-       "     46.266693115234375,\n",
-       "     46.266693115234375,\n",
-       "     46.266693115234375,\n",
-       "     101.79549407958984,\n",
-       "     26.219223022460938,\n",
-       "     26.219223022460938,\n",
-       "     26.59097671508789,\n",
-       "     73.16544342041016,\n",
-       "     73.16544342041016,\n",
-       "     4.6649675369262695,\n",
-       "     4.6649675369262695,\n",
-       "     4.6649675369262695,\n",
-       "     4.6649675369262695,\n",
-       "     102.63156127929688,\n",
-       "     102.63156127929688,\n",
-       "     102.63156127929688,\n",
-       "     102.63156127929688,\n",
-       "     25.901548385620117,\n",
-       "     25.901548385620117,\n",
-       "     25.901548385620117,\n",
-       "     25.901548385620117,\n",
-       "     25.42319679260254,\n",
-       "     35.7122688293457,\n",
-       "     35.7122688293457,\n",
-       "     35.7122688293457,\n",
-       "     123.4432601928711,\n",
-       "     123.4432601928711,\n",
-       "     123.4432601928711,\n",
-       "     123.4432601928711,\n",
-       "     123.4432601928711,\n",
-       "     12773.021484375,\n",
-       "     12773.021484375,\n",
-       "     12773.021484375,\n",
-       "     12773.021484375,\n",
-       "     35.29640197753906,\n",
-       "     41.34097671508789,\n",
-       "     41.34097671508789,\n",
-       "     17.646257400512695,\n",
-       "     54.104286193847656,\n",
-       "     54.104286193847656,\n",
-       "     227.4977264404297,\n",
-       "     227.4977264404297,\n",
-       "     227.4977264404297,\n",
-       "     227.4977264404297,\n",
-       "     227.4977264404297,\n",
-       "     227.4977264404297,\n",
-       "     254.66741943359375,\n",
-       "     254.66741943359375,\n",
-       "     254.66741943359375,\n",
-       "     35.556182861328125,\n",
-       "     20.405641555786133,\n",
-       "     20.405641555786133,\n",
-       "     20.405641555786133,\n",
-       "     35.32471466064453,\n",
-       "     35.32471466064453,\n",
-       "     35.729862213134766,\n",
-       "     35.729862213134766,\n",
-       "     36.06106185913086,\n",
-       "     664.3406372070312,\n",
-       "     664.3406372070312,\n",
-       "     664.3406372070312,\n",
-       "     8.032919883728027,\n",
-       "     31.60088348388672,\n",
-       "     31.60088348388672,\n",
-       "     31.60088348388672,\n",
-       "     24.500505447387695,\n",
-       "     30.368999481201172,\n",
-       "     30.368999481201172,\n",
-       "     30.368999481201172,\n",
-       "     49.92478942871094,\n",
-       "     49.92478942871094,\n",
-       "     49.92478942871094,\n",
-       "     49.92478942871094,\n",
-       "     41.470497131347656,\n",
-       "     198.9549560546875,\n",
-       "     198.9549560546875,\n",
-       "     22.570316314697266,\n",
-       "     22.570316314697266,\n",
-       "     61.06841278076172,\n",
-       "     61.06841278076172,\n",
-       "     19.733320236206055,\n",
-       "     18.51359748840332,\n",
-       "     18.51359748840332,\n",
-       "     18.51359748840332,\n",
-       "     18.51359748840332,\n",
-       "     26.698163986206055,\n",
-       "     132.5131072998047,\n",
-       "     132.5131072998047,\n",
-       "     132.5131072998047,\n",
-       "     87.39599609375,\n",
-       "     87.39599609375,\n",
-       "     15.069024085998535,\n",
-       "     15.069024085998535,\n",
-       "     27.100372314453125,\n",
-       "     27.100372314453125,\n",
-       "     27.100372314453125,\n",
-       "     27.100372314453125,\n",
-       "     63.87034225463867,\n",
-       "     63.87034225463867,\n",
-       "     63.87034225463867,\n",
-       "     63.87034225463867,\n",
-       "     30.030494689941406,\n",
-       "     30.030494689941406,\n",
-       "     46.02188491821289,\n",
-       "     12.42951774597168,\n",
-       "     12.42951774597168,\n",
-       "     12.42951774597168,\n",
-       "     31.426227569580078,\n",
-       "     31.426227569580078,\n",
-       "     11399.9130859375,\n",
-       "     11399.9130859375,\n",
-       "     11399.9130859375,\n",
-       "     11399.9130859375,\n",
-       "     11399.9130859375,\n",
-       "     11399.9130859375,\n",
-       "     8.660289764404297,\n",
-       "     38.9617919921875,\n",
-       "     56.292938232421875,\n",
-       "     56.292938232421875,\n",
-       "     26.372861862182617,\n",
-       "     26.372861862182617,\n",
-       "     22.04472541809082,\n",
-       "     68.2925796508789,\n",
-       "     68.2925796508789,\n",
-       "     320.4150085449219,\n",
-       "     320.4150085449219,\n",
-       "     320.4150085449219,\n",
-       "     118.28704071044922,\n",
-       "     118.28704071044922,\n",
-       "     118.28704071044922,\n",
-       "     118.28704071044922,\n",
-       "     443.4452819824219,\n",
-       "     443.4452819824219,\n",
-       "     443.4452819824219,\n",
-       "     10.389924049377441,\n",
-       "     19.26616859436035,\n",
-       "     44.08513259887695,\n",
-       "     22.871849060058594,\n",
-       "     22.871849060058594,\n",
-       "     124.8387680053711,\n",
-       "     124.8387680053711,\n",
-       "     38.5760383605957,\n",
-       "     38.5760383605957,\n",
-       "     11681.0107421875,\n",
-       "     11681.0107421875,\n",
-       "     11681.0107421875,\n",
-       "     11681.0107421875,\n",
-       "     209.7700958251953,\n",
-       "     209.7700958251953,\n",
-       "     209.7700958251953,\n",
-       "     25.145465850830078,\n",
-       "     46.553932189941406,\n",
-       "     46.553932189941406,\n",
-       "     1077.1380615234375,\n",
-       "     1077.1380615234375,\n",
-       "     36.829097747802734,\n",
-       "     36.829097747802734,\n",
-       "     36.829097747802734,\n",
-       "     28.240446090698242,\n",
-       "     19.669275283813477,\n",
-       "     31.054983139038086,\n",
-       "     31.054983139038086,\n",
-       "     20.774761199951172,\n",
-       "     48.37118911743164,\n",
-       "     48.37118911743164,\n",
-       "     17.527498245239258,\n",
-       "     17.527498245239258,\n",
-       "     31.0816650390625,\n",
-       "     20.67710304260254,\n",
-       "     30.72968292236328,\n",
-       "     20.236570358276367,\n",
-       "     65.9017333984375,\n",
-       "     65.9017333984375,\n",
-       "     23.537521362304688,\n",
-       "     37.6465950012207,\n",
-       "     36.654090881347656,\n",
-       "     36.654090881347656,\n",
-       "     87.95944213867188,\n",
-       "     87.95944213867188,\n",
-       "     30.14996337890625,\n",
-       "     58.37077713012695,\n",
-       "     58.37077713012695,\n",
-       "     30.13671112060547,\n",
-       "     24.07550621032715,\n",
-       "     40.146114349365234,\n",
-       "     40.146114349365234,\n",
-       "     40.146114349365234,\n",
-       "     115.78044128417969,\n",
-       "     115.78044128417969,\n",
-       "     14.15937614440918,\n",
-       "     14.15937614440918,\n",
-       "     20.89550018310547,\n",
-       "     3.9720547199249268,\n",
-       "     33.40971755981445,\n",
-       "     33.40971755981445,\n",
-       "     52.2775993347168,\n",
-       "     52.2775993347168,\n",
-       "     52.2775993347168,\n",
-       "     25.43512725830078,\n",
-       "     25.43512725830078,\n",
-       "     64.60677337646484,\n",
-       "     64.60677337646484,\n",
-       "     7.628475189208984,\n",
-       "     75422.34375,\n",
-       "     75422.34375,\n",
-       "     110.41958618164062,\n",
-       "     110.41958618164062,\n",
-       "     194.68777465820312,\n",
-       "     194.68777465820312,\n",
-       "     194.68777465820312,\n",
-       "     194.68777465820312,\n",
-       "     194.68777465820312,\n",
-       "     35.505279541015625,\n",
-       "     35.505279541015625,\n",
-       "     42.56560134887695,\n",
-       "     39.07632827758789,\n",
-       "     39.07632827758789,\n",
-       "     39.07632827758789,\n",
-       "     39.07632827758789,\n",
-       "     29.779067993164062,\n",
-       "     29.779067993164062,\n",
-       "     19.369304656982422,\n",
-       "     24.996742248535156,\n",
-       "     11720.8369140625,\n",
-       "     11720.8369140625,\n",
-       "     11720.8369140625,\n",
-       "     11720.8369140625,\n",
-       "     11720.8369140625,\n",
-       "     61.66079330444336,\n",
-       "     61.66079330444336,\n",
-       "     21.175073623657227,\n",
-       "     98.76887512207031,\n",
-       "     98.76887512207031,\n",
-       "     20.606599807739258,\n",
-       "     20.606599807739258,\n",
-       "     33.786659240722656,\n",
-       "     18.662525177001953,\n",
-       "     28.453044891357422,\n",
-       "     19.431034088134766,\n",
-       "     19.431034088134766,\n",
-       "     120.7717514038086,\n",
-       "     120.7717514038086,\n",
-       "     151.54269409179688,\n",
-       "     151.54269409179688,\n",
-       "     151.54269409179688,\n",
-       "     151.54269409179688,\n",
-       "     22.18948745727539,\n",
-       "     16.650720596313477,\n",
-       "     54.773746490478516,\n",
-       "     54.773746490478516,\n",
-       "     54.773746490478516,\n",
-       "     99.66673278808594,\n",
-       "     99.66673278808594,\n",
-       "     99.66673278808594,\n",
-       "     32.324241638183594,\n",
-       "     32.324241638183594,\n",
-       "     32.324241638183594,\n",
-       "     32.324241638183594,\n",
-       "     4308.68994140625,\n",
-       "     4308.68994140625,\n",
-       "     4308.68994140625,\n",
-       "     4308.68994140625,\n",
-       "     26.252056121826172,\n",
-       "     57.84855270385742,\n",
-       "     57.84855270385742,\n",
-       "     57.84855270385742,\n",
-       "     20.360336303710938,\n",
-       "     20.360336303710938,\n",
-       "     57646.9921875,\n",
-       "     57646.9921875,\n",
-       "     57646.9921875,\n",
-       "     57646.9921875,\n",
-       "     57646.9921875,\n",
-       "     228742.90625,\n",
-       "     228742.90625,\n",
-       "     31.200725555419922,\n",
-       "     31.200725555419922,\n",
-       "     40.30677795410156,\n",
-       "     40.30677795410156,\n",
-       "     40.30677795410156,\n",
-       "     40.30677795410156,\n",
-       "     40.30677795410156,\n",
-       "     40.30677795410156,\n",
-       "     42.9063606262207,\n",
-       "     42.9063606262207,\n",
-       "     42.9063606262207,\n",
-       "     35.15571594238281,\n",
-       "     35.15571594238281,\n",
-       "     35.15571594238281,\n",
-       "     38.43263244628906,\n",
-       "     38.43263244628906,\n",
-       "     91.56676483154297,\n",
-       "     91.56676483154297,\n",
-       "     91.56676483154297,\n",
-       "     91.56676483154297,\n",
-       "     7.553915977478027,\n",
-       "     15.160603523254395,\n",
-       "     15.160603523254395,\n",
-       "     15.160603523254395,\n",
-       "     15.160603523254395,\n",
-       "     20.811511993408203,\n",
-       "     20.811511993408203,\n",
-       "     20.811511993408203,\n",
-       "     20.811511993408203,\n",
-       "     20.811511993408203,\n",
-       "     20.811511993408203,\n",
-       "     6.828880786895752,\n",
-       "     6.828880786895752,\n",
-       "     6.828880786895752,\n",
-       "     1789.230712890625,\n",
-       "     1789.230712890625,\n",
-       "     20.204023361206055,\n",
-       "     24.286148071289062,\n",
-       "     346.27386474609375,\n",
-       "     346.27386474609375,\n",
-       "     19.6539363861084,\n",
-       "     227.10731506347656,\n",
-       "     186.01747131347656,\n",
-       "     186.01747131347656,\n",
-       "     186.01747131347656,\n",
-       "     186.01747131347656,\n",
-       "     186.01747131347656,\n",
-       "     26.937658309936523,\n",
-       "     26.937658309936523,\n",
-       "     26.937658309936523,\n",
-       "     41.5850715637207,\n",
-       "     41.5850715637207,\n",
-       "     74.98391723632812,\n",
-       "     74.98391723632812,\n",
-       "     24.90932273864746,\n",
-       "     24.90932273864746,\n",
-       "     23.569917678833008,\n",
-       "     23.569917678833008,\n",
-       "     74.51676940917969,\n",
-       "     23.479656219482422,\n",
-       "     7.8914408683776855,\n",
-       "     32.133968353271484,\n",
-       "     32.133968353271484,\n",
-       "     101.44974517822266,\n",
-       "     101.44974517822266,\n",
-       "     478.8811950683594,\n",
-       "     478.8811950683594,\n",
-       "     481.9111022949219,\n",
-       "     481.9111022949219,\n",
-       "     481.9111022949219,\n",
-       "     481.9111022949219,\n",
-       "     481.9111022949219,\n",
-       "     32.73618698120117,\n",
-       "     32.73618698120117,\n",
-       "     48.27867126464844,\n",
-       "     48.27867126464844,\n",
-       "     98.82022094726562,\n",
-       "     98.82022094726562,\n",
-       "     49.547908782958984,\n",
-       "     49.547908782958984,\n",
-       "     41.0729866027832,\n",
-       "     41.0729866027832,\n",
-       "     19.117454528808594,\n",
-       "     27.5860538482666,\n",
-       "     27.5860538482666,\n",
-       "     41.13151931762695,\n",
-       "     28.08635139465332,\n",
-       "     28.08635139465332,\n",
-       "     37.49348449707031,\n",
-       "     37.49348449707031,\n",
-       "     37.49348449707031,\n",
-       "     37.49348449707031,\n",
-       "     49.498023986816406,\n",
-       "     49.498023986816406,\n",
-       "     49.498023986816406,\n",
-       "     49.498023986816406,\n",
-       "     233.0972137451172,\n",
-       "     233.0972137451172,\n",
-       "     50.8763427734375,\n",
-       "     124.87788391113281,\n",
-       "     124.87788391113281,\n",
-       "     124.87788391113281,\n",
-       "     124.87788391113281,\n",
-       "     44.79485321044922,\n",
-       "     44.79485321044922,\n",
-       "     15.80577278137207,\n",
-       "     15.80577278137207,\n",
-       "     15.80577278137207,\n",
-       "     15.80577278137207,\n",
-       "     38.82398986816406,\n",
-       "     38.82398986816406,\n",
-       "     29.37957191467285,\n",
-       "     22.65690803527832,\n",
-       "     45.49738311767578,\n",
-       "     45.49738311767578,\n",
-       "     45.49738311767578,\n",
-       "     45.49738311767578,\n",
-       "     3500.255126953125,\n",
-       "     3500.255126953125,\n",
-       "     3500.255126953125,\n",
-       "     3500.255126953125,\n",
-       "     8.021744728088379,\n",
-       "     36.637908935546875,\n",
-       "     20.358747482299805,\n",
-       "     24.077688217163086,\n",
-       "     24.077688217163086,\n",
-       "     317.02789306640625,\n",
-       "     317.02789306640625,\n",
-       "     25.808713912963867,\n",
-       "     43.17150115966797,\n",
-       "     43.17150115966797,\n",
-       "     43.17150115966797,\n",
-       "     32.133785247802734,\n",
-       "     32.133785247802734,\n",
-       "     32.133785247802734,\n",
-       "     10.273715019226074,\n",
-       "     10.273715019226074,\n",
-       "     27.704740524291992,\n",
-       "     27.704740524291992,\n",
-       "     45.786766052246094,\n",
-       "     45.786766052246094,\n",
-       "     28.401771545410156,\n",
-       "     31.565929412841797,\n",
-       "     31.565929412841797,\n",
-       "     31.565929412841797,\n",
-       "     33.33272933959961,\n",
-       "     33.33272933959961,\n",
-       "     68.33909606933594,\n",
-       "     ...],\n",
-       "    'household_weight': [28.242149353027344,\n",
-       "     46.80501937866211,\n",
-       "     23.999473571777344,\n",
-       "     40.036590576171875,\n",
-       "     319.1246032714844,\n",
-       "     58.23358154296875,\n",
-       "     290.2938537597656,\n",
-       "     10.826322555541992,\n",
-       "     18.18562889099121,\n",
-       "     32.117332458496094,\n",
-       "     43.09082794189453,\n",
-       "     31.772851943969727,\n",
-       "     20.178485870361328,\n",
-       "     18.06965446472168,\n",
-       "     18.671987533569336,\n",
-       "     209.88294982910156,\n",
-       "     21.307418823242188,\n",
-       "     114.24542236328125,\n",
-       "     33.831478118896484,\n",
-       "     44.90141677856445,\n",
-       "     45.325626373291016,\n",
-       "     24.144590377807617,\n",
-       "     79.82612609863281,\n",
-       "     14.016646385192871,\n",
-       "     282.30853271484375,\n",
-       "     34.989463806152344,\n",
-       "     21.942724227905273,\n",
-       "     205.44015502929688,\n",
-       "     39.89904022216797,\n",
-       "     19.02444076538086,\n",
-       "     29.60257911682129,\n",
-       "     104.54341125488281,\n",
-       "     94.42530822753906,\n",
-       "     63.71830368041992,\n",
-       "     30.37379264831543,\n",
-       "     746.3109741210938,\n",
-       "     262.5146179199219,\n",
-       "     301.7978210449219,\n",
-       "     59.51349639892578,\n",
-       "     39.839420318603516,\n",
-       "     25.185821533203125,\n",
-       "     36.8460807800293,\n",
-       "     47.40287399291992,\n",
-       "     28.797687530517578,\n",
-       "     38.371482849121094,\n",
-       "     7.789304256439209,\n",
-       "     6.997937202453613,\n",
-       "     111.38818359375,\n",
-       "     40.009578704833984,\n",
-       "     212.98501586914062,\n",
-       "     23.419477462768555,\n",
-       "     73.20986938476562,\n",
-       "     110.51835632324219,\n",
-       "     92.79043579101562,\n",
-       "     184.57461547851562,\n",
-       "     9.06320858001709,\n",
-       "     7.600617408752441,\n",
-       "     29.39621925354004,\n",
-       "     36.01832962036133,\n",
-       "     27.438125610351562,\n",
-       "     56.51862335205078,\n",
-       "     34.7610969543457,\n",
-       "     28.407873153686523,\n",
-       "     46.22690200805664,\n",
-       "     184.8269500732422,\n",
-       "     28.927675247192383,\n",
-       "     81.71466827392578,\n",
-       "     80.8134765625,\n",
-       "     94.04654693603516,\n",
-       "     9.590133666992188,\n",
-       "     1194.1971435546875,\n",
-       "     76.40959167480469,\n",
-       "     20.353389739990234,\n",
-       "     33.174442291259766,\n",
-       "     45.14307403564453,\n",
-       "     53.31949996948242,\n",
-       "     30.570446014404297,\n",
-       "     26.836687088012695,\n",
-       "     74.53304290771484,\n",
-       "     134.6366729736328,\n",
-       "     28.297229766845703,\n",
-       "     38.551185607910156,\n",
-       "     19.281497955322266,\n",
-       "     30.92945671081543,\n",
-       "     90.17884063720703,\n",
-       "     154.83297729492188,\n",
-       "     41.390586853027344,\n",
-       "     25.554105758666992,\n",
-       "     19.096031188964844,\n",
-       "     23.780738830566406,\n",
-       "     71.38541412353516,\n",
-       "     69.7490005493164,\n",
-       "     490.34344482421875,\n",
-       "     1640.6968994140625,\n",
-       "     26.102113723754883,\n",
-       "     8.504029273986816,\n",
-       "     8.9138822555542,\n",
-       "     30.532691955566406,\n",
-       "     26.963403701782227,\n",
-       "     123.43195343017578,\n",
-       "     19.758426666259766,\n",
-       "     23.556047439575195,\n",
-       "     21.44287109375,\n",
-       "     47.156822204589844,\n",
-       "     83.73397064208984,\n",
-       "     116.41424560546875,\n",
-       "     53.18351364135742,\n",
-       "     16.176658630371094,\n",
-       "     43.51107406616211,\n",
-       "     7.990398406982422,\n",
-       "     39.139984130859375,\n",
-       "     39.13148498535156,\n",
-       "     77.44499206542969,\n",
-       "     244.87086486816406,\n",
-       "     32.5803108215332,\n",
-       "     8.641592979431152,\n",
-       "     34.258522033691406,\n",
-       "     8736.19140625,\n",
-       "     44.93291091918945,\n",
-       "     63.7723503112793,\n",
-       "     61.97844696044922,\n",
-       "     32.464134216308594,\n",
-       "     23.566247940063477,\n",
-       "     16645.962890625,\n",
-       "     8.623653411865234,\n",
-       "     127.91293334960938,\n",
-       "     37.4765510559082,\n",
-       "     111.99394989013672,\n",
-       "     125.22480010986328,\n",
-       "     114.73353576660156,\n",
-       "     1555.2490234375,\n",
-       "     24.17667007446289,\n",
-       "     244.0413818359375,\n",
-       "     74.58797454833984,\n",
-       "     16150.6162109375,\n",
-       "     24.592029571533203,\n",
-       "     100.23110961914062,\n",
-       "     8.019574165344238,\n",
-       "     22.024221420288086,\n",
-       "     196.55812072753906,\n",
-       "     10.0629301071167,\n",
-       "     26.633651733398438,\n",
-       "     9.341270446777344,\n",
-       "     160.00205993652344,\n",
-       "     25.090591430664062,\n",
-       "     27.958616256713867,\n",
-       "     33.413421630859375,\n",
-       "     56.58835983276367,\n",
-       "     75.11299133300781,\n",
-       "     90.420654296875,\n",
-       "     32.67418670654297,\n",
-       "     54.854827880859375,\n",
-       "     65.36970520019531,\n",
-       "     15.61748218536377,\n",
-       "     34.05690383911133,\n",
-       "     767.959716796875,\n",
-       "     39.399654388427734,\n",
-       "     29.0726375579834,\n",
-       "     82.9017333984375,\n",
-       "     51.59709930419922,\n",
-       "     36.804237365722656,\n",
-       "     28.704092025756836,\n",
-       "     142.19129943847656,\n",
-       "     29.95490264892578,\n",
-       "     50.495479583740234,\n",
-       "     160.04151916503906,\n",
-       "     95.4728775024414,\n",
-       "     13.032922744750977,\n",
-       "     438.0936584472656,\n",
-       "     25.435516357421875,\n",
-       "     62.001888275146484,\n",
-       "     18.926958084106445,\n",
-       "     79.778564453125,\n",
-       "     24.411231994628906,\n",
-       "     30.95073890686035,\n",
-       "     23.880308151245117,\n",
-       "     98.3361587524414,\n",
-       "     53.99956512451172,\n",
-       "     31.282690048217773,\n",
-       "     24.828489303588867,\n",
-       "     95.39952087402344,\n",
-       "     29.91636848449707,\n",
-       "     29.046144485473633,\n",
-       "     280.32794189453125,\n",
-       "     52.531494140625,\n",
-       "     32.828460693359375,\n",
-       "     21.872875213623047,\n",
-       "     31.914512634277344,\n",
-       "     60.90550231933594,\n",
-       "     24.419986724853516,\n",
-       "     26.44912338256836,\n",
-       "     57.484676361083984,\n",
-       "     7.871554374694824,\n",
-       "     179.61581420898438,\n",
-       "     8.477884292602539,\n",
-       "     72.51541900634766,\n",
-       "     20.13242530822754,\n",
-       "     23.228296279907227,\n",
-       "     28.653247833251953,\n",
-       "     12.58013916015625,\n",
-       "     23.084768295288086,\n",
-       "     68.72532653808594,\n",
-       "     30.086450576782227,\n",
-       "     52.67949295043945,\n",
-       "     38.49380111694336,\n",
-       "     37.2798957824707,\n",
-       "     48.809207916259766,\n",
-       "     59.176551818847656,\n",
-       "     44.63967514038086,\n",
-       "     42.50554275512695,\n",
-       "     29.16765022277832,\n",
-       "     134.17138671875,\n",
-       "     33.469566345214844,\n",
-       "     26.317380905151367,\n",
-       "     85.4616470336914,\n",
-       "     13.612092971801758,\n",
-       "     21.696300506591797,\n",
-       "     25.094533920288086,\n",
-       "     83.97547912597656,\n",
-       "     35.32173156738281,\n",
-       "     26.05023956298828,\n",
-       "     20.915502548217773,\n",
-       "     23.04576873779297,\n",
-       "     28.619813919067383,\n",
-       "     28.61835289001465,\n",
-       "     33.329410552978516,\n",
-       "     17.94207763671875,\n",
-       "     9.63046646118164,\n",
-       "     95.58506774902344,\n",
-       "     52.847835540771484,\n",
-       "     41.31187057495117,\n",
-       "     31.275516510009766,\n",
-       "     26494.5234375,\n",
-       "     30.938993453979492,\n",
-       "     59.856266021728516,\n",
-       "     43.062042236328125,\n",
-       "     44.59657287597656,\n",
-       "     51.06792068481445,\n",
-       "     102.48807525634766,\n",
-       "     3726.961669921875,\n",
-       "     26.917036056518555,\n",
-       "     18.76892852783203,\n",
-       "     25.2055606842041,\n",
-       "     84.37887573242188,\n",
-       "     44.74599838256836,\n",
-       "     17.199106216430664,\n",
-       "     36.21172332763672,\n",
-       "     35.43221664428711,\n",
-       "     24.235986709594727,\n",
-       "     1349.5811767578125,\n",
-       "     140.4710693359375,\n",
-       "     31.35894012451172,\n",
-       "     23.45647621154785,\n",
-       "     25.17761993408203,\n",
-       "     37.43434524536133,\n",
-       "     53.80603790283203,\n",
-       "     31.383758544921875,\n",
-       "     53.90730667114258,\n",
-       "     343.1087646484375,\n",
-       "     38.38011169433594,\n",
-       "     39.77899169921875,\n",
-       "     112.42691802978516,\n",
-       "     122.82071685791016,\n",
-       "     20.101877212524414,\n",
-       "     18.68659019470215,\n",
-       "     204.53883361816406,\n",
-       "     57.286155700683594,\n",
-       "     14.508488655090332,\n",
-       "     39.236366271972656,\n",
-       "     23.45498275756836,\n",
-       "     25.313365936279297,\n",
-       "     7.640000343322754,\n",
-       "     55.74361801147461,\n",
-       "     118.56034851074219,\n",
-       "     46.266693115234375,\n",
-       "     101.79549407958984,\n",
-       "     26.219223022460938,\n",
-       "     26.59097671508789,\n",
-       "     73.16544342041016,\n",
-       "     4.6649675369262695,\n",
-       "     102.63156127929688,\n",
-       "     25.901548385620117,\n",
-       "     25.42319679260254,\n",
-       "     35.7122688293457,\n",
-       "     123.4432601928711,\n",
-       "     12773.021484375,\n",
-       "     35.29640197753906,\n",
-       "     41.34097671508789,\n",
-       "     17.646257400512695,\n",
-       "     54.104286193847656,\n",
-       "     227.4977264404297,\n",
-       "     254.66741943359375,\n",
-       "     35.556182861328125,\n",
-       "     20.405641555786133,\n",
-       "     35.32471466064453,\n",
-       "     35.729862213134766,\n",
-       "     36.06106185913086,\n",
-       "     664.3406372070312,\n",
-       "     8.032919883728027,\n",
-       "     31.60088348388672,\n",
-       "     24.500505447387695,\n",
-       "     30.368999481201172,\n",
-       "     49.92478942871094,\n",
-       "     41.470497131347656,\n",
-       "     198.9549560546875,\n",
-       "     22.570316314697266,\n",
-       "     61.06841278076172,\n",
-       "     19.733320236206055,\n",
-       "     18.51359748840332,\n",
-       "     26.698163986206055,\n",
-       "     132.5131072998047,\n",
-       "     87.39599609375,\n",
-       "     15.069024085998535,\n",
-       "     27.100372314453125,\n",
-       "     63.87034225463867,\n",
-       "     30.030494689941406,\n",
-       "     46.02188491821289,\n",
-       "     12.42951774597168,\n",
-       "     31.426227569580078,\n",
-       "     11399.9130859375,\n",
-       "     8.660289764404297,\n",
-       "     38.9617919921875,\n",
-       "     56.292938232421875,\n",
-       "     26.372861862182617,\n",
-       "     22.04472541809082,\n",
-       "     68.2925796508789,\n",
-       "     320.4150085449219,\n",
-       "     118.28704071044922,\n",
-       "     443.4452819824219,\n",
-       "     10.389924049377441,\n",
-       "     19.26616859436035,\n",
-       "     44.08513259887695,\n",
-       "     22.871849060058594,\n",
-       "     124.8387680053711,\n",
-       "     38.5760383605957,\n",
-       "     11681.0107421875,\n",
-       "     209.7700958251953,\n",
-       "     25.145465850830078,\n",
-       "     46.553932189941406,\n",
-       "     1077.1380615234375,\n",
-       "     36.829097747802734,\n",
-       "     28.240446090698242,\n",
-       "     19.669275283813477,\n",
-       "     31.054983139038086,\n",
-       "     20.774761199951172,\n",
-       "     48.37118911743164,\n",
-       "     17.527498245239258,\n",
-       "     31.0816650390625,\n",
-       "     20.67710304260254,\n",
-       "     30.72968292236328,\n",
-       "     20.236570358276367,\n",
-       "     65.9017333984375,\n",
-       "     23.537521362304688,\n",
-       "     37.6465950012207,\n",
-       "     36.654090881347656,\n",
-       "     87.95944213867188,\n",
-       "     30.14996337890625,\n",
-       "     58.37077713012695,\n",
-       "     30.13671112060547,\n",
-       "     24.07550621032715,\n",
-       "     40.146114349365234,\n",
-       "     115.78044128417969,\n",
-       "     14.15937614440918,\n",
-       "     20.89550018310547,\n",
-       "     3.9720547199249268,\n",
-       "     33.40971755981445,\n",
-       "     52.2775993347168,\n",
-       "     25.43512725830078,\n",
-       "     64.60677337646484,\n",
-       "     7.628475189208984,\n",
-       "     75422.34375,\n",
-       "     110.41958618164062,\n",
-       "     194.68777465820312,\n",
-       "     35.505279541015625,\n",
-       "     42.56560134887695,\n",
-       "     39.07632827758789,\n",
-       "     29.779067993164062,\n",
-       "     19.369304656982422,\n",
-       "     24.996742248535156,\n",
-       "     11720.8369140625,\n",
-       "     61.66079330444336,\n",
-       "     21.175073623657227,\n",
-       "     98.76887512207031,\n",
-       "     20.606599807739258,\n",
-       "     33.786659240722656,\n",
-       "     18.662525177001953,\n",
-       "     28.453044891357422,\n",
-       "     19.431034088134766,\n",
-       "     120.7717514038086,\n",
-       "     151.54269409179688,\n",
-       "     22.18948745727539,\n",
-       "     16.650720596313477,\n",
-       "     54.773746490478516,\n",
-       "     99.66673278808594,\n",
-       "     32.324241638183594,\n",
-       "     4308.68994140625,\n",
-       "     26.252056121826172,\n",
-       "     57.84855270385742,\n",
-       "     20.360336303710938,\n",
-       "     57646.9921875,\n",
-       "     228742.90625,\n",
-       "     31.200725555419922,\n",
-       "     40.30677795410156,\n",
-       "     42.9063606262207,\n",
-       "     35.15571594238281,\n",
-       "     38.43263244628906,\n",
-       "     91.56676483154297,\n",
-       "     7.553915977478027,\n",
-       "     15.160603523254395,\n",
-       "     20.811511993408203,\n",
-       "     6.828880786895752,\n",
-       "     1789.230712890625,\n",
-       "     20.204023361206055,\n",
-       "     24.286148071289062,\n",
-       "     346.27386474609375,\n",
-       "     19.6539363861084,\n",
-       "     227.10731506347656,\n",
-       "     186.01747131347656,\n",
-       "     26.937658309936523,\n",
-       "     41.5850715637207,\n",
-       "     74.98391723632812,\n",
-       "     24.90932273864746,\n",
-       "     23.569917678833008,\n",
-       "     74.51676940917969,\n",
-       "     23.479656219482422,\n",
-       "     7.8914408683776855,\n",
-       "     32.133968353271484,\n",
-       "     101.44974517822266,\n",
-       "     478.8811950683594,\n",
-       "     481.9111022949219,\n",
-       "     32.73618698120117,\n",
-       "     48.27867126464844,\n",
-       "     98.82022094726562,\n",
-       "     49.547908782958984,\n",
-       "     41.0729866027832,\n",
-       "     19.117454528808594,\n",
-       "     27.5860538482666,\n",
-       "     41.13151931762695,\n",
-       "     28.08635139465332,\n",
-       "     37.49348449707031,\n",
-       "     49.498023986816406,\n",
-       "     233.0972137451172,\n",
-       "     50.8763427734375,\n",
-       "     124.87788391113281,\n",
-       "     44.79485321044922,\n",
-       "     15.80577278137207,\n",
-       "     38.82398986816406,\n",
-       "     29.37957191467285,\n",
-       "     22.65690803527832,\n",
-       "     45.49738311767578,\n",
-       "     3500.255126953125,\n",
-       "     8.021744728088379,\n",
-       "     36.637908935546875,\n",
-       "     20.358747482299805,\n",
-       "     24.077688217163086,\n",
-       "     317.02789306640625,\n",
-       "     25.808713912963867,\n",
-       "     43.17150115966797,\n",
-       "     32.133785247802734,\n",
-       "     10.273715019226074,\n",
-       "     27.704740524291992,\n",
-       "     45.786766052246094,\n",
-       "     28.401771545410156,\n",
-       "     31.565929412841797,\n",
-       "     33.33272933959961,\n",
-       "     68.33909606933594,\n",
-       "     78.24613952636719,\n",
-       "     12.20848274230957,\n",
-       "     43.32186508178711,\n",
-       "     27.522151947021484,\n",
-       "     93.13650512695312,\n",
-       "     24.294950485229492,\n",
-       "     189.66326904296875,\n",
-       "     146.65618896484375,\n",
-       "     25.84233856201172,\n",
-       "     50.18196105957031,\n",
-       "     28.27105140686035,\n",
-       "     40.21383285522461,\n",
-       "     26.37224578857422,\n",
-       "     116.51704406738281,\n",
-       "     180.51116943359375,\n",
-       "     38.27302551269531,\n",
-       "     29.138916015625,\n",
-       "     81209.3515625,\n",
-       "     26.80150604248047,\n",
-       "     48.34397888183594,\n",
-       "     77.17735290527344,\n",
-       "     36.51317596435547,\n",
-       "     8.339164733886719,\n",
-       "     31.767253875732422,\n",
-       "     55.910152435302734,\n",
-       "     25.986488342285156,\n",
-       "     12671.03515625,\n",
-       "     27.51320457458496,\n",
-       "     56.45180130004883,\n",
-       "     76.10295104980469,\n",
-       "     44.57008361816406,\n",
-       "     36.456851959228516,\n",
-       "     68.07799530029297,\n",
-       "     29.730253219604492,\n",
-       "     32.43329620361328,\n",
-       "     18.978092193603516,\n",
-       "     9.371033668518066,\n",
-       "     80.16841125488281,\n",
-       "     30.737377166748047,\n",
-       "     44.296260833740234,\n",
-       "     24.082406997680664,\n",
-       "     42.62151336669922,\n",
-       "     9.543537139892578,\n",
-       "     27.178924560546875,\n",
-       "     122.48465728759766,\n",
-       "     211.5702362060547,\n",
-       "     29.55289077758789,\n",
-       "     90.36311340332031,\n",
-       "     32.936710357666016,\n",
-       "     48.66644287109375,\n",
-       "     28.885408401489258,\n",
-       "     100.52787017822266,\n",
-       "     49.253517150878906,\n",
-       "     50.8596076965332,\n",
-       "     33.19301223754883,\n",
-       "     123.25515747070312,\n",
-       "     17.03289031982422,\n",
-       "     21.81167984008789,\n",
-       "     42.217891693115234,\n",
-       "     107.16097259521484,\n",
-       "     75.89432525634766,\n",
-       "     23.667015075683594,\n",
-       "     56.91862487792969,\n",
-       "     54.842350006103516,\n",
-       "     27.949846267700195,\n",
-       "     42.967987060546875,\n",
-       "     22.591413497924805,\n",
-       "     475.7314758300781,\n",
-       "     27.852066040039062,\n",
-       "     26.91028594970703,\n",
-       "     28.905298233032227,\n",
-       "     22.205158233642578,\n",
-       "     495.7840881347656,\n",
-       "     139.74560546875,\n",
-       "     41.20463180541992,\n",
-       "     20.8092098236084,\n",
-       "     64.87281036376953,\n",
-       "     25509.48828125,\n",
-       "     742.6254272460938,\n",
-       "     88.88448333740234,\n",
-       "     37.8209342956543,\n",
-       "     45.28633117675781,\n",
-       "     49.422019958496094,\n",
-       "     33.699546813964844,\n",
-       "     7.88087797164917,\n",
-       "     35.27408981323242,\n",
-       "     24.21812629699707,\n",
-       "     27.140623092651367,\n",
-       "     27.43670082092285,\n",
-       "     35.01750564575195,\n",
-       "     88.72260284423828,\n",
-       "     69.74231719970703,\n",
-       "     48.520477294921875,\n",
-       "     81.13410186767578,\n",
-       "     31.859851837158203,\n",
-       "     9.064040184020996,\n",
-       "     23.752965927124023,\n",
-       "     180.64532470703125,\n",
-       "     521.6224975585938,\n",
-       "     19.425310134887695,\n",
-       "     30.754941940307617,\n",
-       "     11.20598316192627,\n",
-       "     20.52555274963379,\n",
-       "     16.73333168029785,\n",
-       "     142.5982208251953,\n",
-       "     8.130870819091797,\n",
-       "     57.091121673583984,\n",
-       "     45.064292907714844,\n",
-       "     21.070842742919922,\n",
-       "     110.8116455078125,\n",
-       "     26.09881591796875,\n",
-       "     36.49736022949219,\n",
-       "     40.8791618347168,\n",
-       "     69.22997283935547,\n",
-       "     92.81848907470703,\n",
-       "     11.977202415466309,\n",
-       "     120.67728424072266,\n",
-       "     13.511035919189453,\n",
-       "     47.45903396606445,\n",
-       "     57.43730545043945,\n",
-       "     97.10781860351562,\n",
-       "     128.81521606445312,\n",
-       "     54.1357421875,\n",
-       "     559.6054077148438,\n",
-       "     201.12103271484375,\n",
-       "     53.43246841430664,\n",
-       "     66.09152221679688,\n",
-       "     36.68221664428711,\n",
-       "     370.2716979980469,\n",
-       "     60.584129333496094,\n",
-       "     124.5239028930664,\n",
-       "     82.646240234375,\n",
-       "     35.10287857055664,\n",
-       "     40.58534622192383,\n",
-       "     21.88373565673828,\n",
-       "     22.397127151489258,\n",
-       "     23.788694381713867,\n",
-       "     8998.4521484375,\n",
-       "     32.30588912963867,\n",
-       "     26.71613311767578,\n",
-       "     25.443115234375,\n",
-       "     26.071346282958984,\n",
-       "     37.27550506591797,\n",
-       "     25.599700927734375,\n",
-       "     49.656471252441406,\n",
-       "     116.1102294921875,\n",
-       "     93.41844940185547,\n",
-       "     23.849533081054688,\n",
-       "     25.36341667175293,\n",
-       "     35.1338996887207,\n",
-       "     52.95706558227539,\n",
-       "     36.73451614379883,\n",
-       "     6.117847442626953,\n",
-       "     524.9666748046875,\n",
-       "     9.699667930603027,\n",
-       "     39.9635009765625,\n",
-       "     42.189476013183594,\n",
-       "     63.87661361694336,\n",
-       "     68.07786560058594,\n",
-       "     47.901031494140625,\n",
-       "     17.65812110900879,\n",
-       "     664.2684326171875,\n",
-       "     321.7586669921875,\n",
-       "     31.622394561767578,\n",
-       "     26.346460342407227,\n",
-       "     30.11229133605957,\n",
-       "     67.34693908691406,\n",
-       "     162.7297821044922,\n",
-       "     130.43927001953125,\n",
-       "     33.19267272949219,\n",
-       "     27.963655471801758,\n",
-       "     22398.759765625,\n",
-       "     51.41410446166992,\n",
-       "     111.35924530029297,\n",
-       "     44.99341583251953,\n",
-       "     25.26917839050293,\n",
-       "     23.641569137573242,\n",
-       "     21.86798858642578,\n",
-       "     23.061235427856445,\n",
-       "     22.17639923095703,\n",
-       "     114.16553497314453,\n",
-       "     309.32916259765625,\n",
-       "     53.26786422729492,\n",
-       "     53.183563232421875,\n",
-       "     10.897358894348145,\n",
-       "     60.68538284301758,\n",
-       "     71.96173095703125,\n",
-       "     70.36080169677734,\n",
-       "     31.388673782348633,\n",
-       "     20145.208984375,\n",
-       "     25.005765914916992,\n",
-       "     878.1486206054688,\n",
-       "     36.71416091918945,\n",
-       "     40.28757095336914,\n",
-       "     23.292160034179688,\n",
-       "     1416.2142333984375,\n",
-       "     35.93791198730469,\n",
-       "     149.52703857421875,\n",
-       "     50.79178237915039,\n",
-       "     55.27119445800781,\n",
-       "     36.429298400878906,\n",
-       "     47.621307373046875,\n",
-       "     34.303409576416016,\n",
-       "     15.042612075805664,\n",
-       "     17.039262771606445,\n",
-       "     23.58864974975586,\n",
-       "     210.0742950439453,\n",
-       "     36.1551399230957,\n",
-       "     45.853240966796875,\n",
-       "     12030.251953125,\n",
-       "     31.810583114624023,\n",
-       "     33.43047332763672,\n",
-       "     33.70047378540039,\n",
-       "     43.46784973144531,\n",
-       "     20.2988224029541,\n",
-       "     21.06975746154785,\n",
-       "     67.80582427978516,\n",
-       "     82.29581451416016,\n",
-       "     8.1028413772583,\n",
-       "     47.00740051269531,\n",
-       "     28.639923095703125,\n",
-       "     21.906150817871094,\n",
-       "     46.424827575683594,\n",
-       "     36.915645599365234,\n",
-       "     26.711196899414062,\n",
-       "     32.44154739379883,\n",
-       "     59.117042541503906,\n",
-       "     74.95713806152344,\n",
-       "     148.52203369140625,\n",
-       "     8.828947067260742,\n",
-       "     560.364013671875,\n",
-       "     62.23111343383789,\n",
-       "     288.2350769042969,\n",
-       "     81.37005615234375,\n",
-       "     144.430908203125,\n",
-       "     63.74538040161133,\n",
-       "     26.690271377563477,\n",
-       "     28.667530059814453,\n",
-       "     30.918338775634766,\n",
-       "     34.81563949584961,\n",
-       "     35.908424377441406,\n",
-       "     192.0653839111328,\n",
-       "     648.81103515625,\n",
-       "     26.497249603271484,\n",
-       "     26.941646575927734,\n",
-       "     22.58795166015625,\n",
-       "     57.01644515991211,\n",
-       "     252.75946044921875,\n",
-       "     17.341148376464844,\n",
-       "     144.19741821289062,\n",
-       "     29.277118682861328,\n",
-       "     41.46324157714844,\n",
-       "     169.3571014404297,\n",
-       "     27.72432518005371,\n",
-       "     101.27507019042969,\n",
-       "     19.45806121826172,\n",
-       "     53.42601013183594,\n",
-       "     19.13066864013672,\n",
-       "     42.555809020996094,\n",
-       "     68.21251678466797,\n",
-       "     48.53764724731445,\n",
-       "     27.182392120361328,\n",
-       "     1236.9078369140625,\n",
-       "     16.671600341796875,\n",
-       "     87.8784408569336,\n",
-       "     12.048067092895508,\n",
-       "     41.45891189575195,\n",
-       "     123.57081604003906,\n",
-       "     27.613815307617188,\n",
-       "     20.524578094482422,\n",
-       "     14.835566520690918,\n",
-       "     37.99099349975586,\n",
-       "     65.80184936523438,\n",
-       "     52.391544342041016,\n",
-       "     27.784547805786133,\n",
-       "     25.413583755493164,\n",
-       "     24.290721893310547,\n",
-       "     29.84189796447754,\n",
-       "     93.54571533203125,\n",
-       "     12.833515167236328,\n",
-       "     31.93730926513672,\n",
-       "     21.837779998779297,\n",
-       "     40.02711486816406,\n",
-       "     30.645097732543945,\n",
-       "     34.03675842285156,\n",
-       "     28.055727005004883,\n",
-       "     4114.03173828125,\n",
-       "     312.41644287109375,\n",
-       "     38.029319763183594,\n",
-       "     20.067974090576172,\n",
-       "     27.55293846130371,\n",
-       "     130.69515991210938,\n",
-       "     270.5059509277344,\n",
-       "     28.26038932800293,\n",
-       "     79.09233093261719,\n",
-       "     22.47134780883789,\n",
-       "     39.074195861816406,\n",
-       "     20.090557098388672,\n",
-       "     39.33311080932617,\n",
-       "     25.52715492248535,\n",
-       "     32.4786491394043,\n",
-       "     37.721580505371094,\n",
-       "     37.12297821044922,\n",
-       "     19.233322143554688,\n",
-       "     25.292463302612305,\n",
-       "     27.200090408325195,\n",
-       "     20.994054794311523,\n",
-       "     73.67050170898438,\n",
-       "     32.33354568481445,\n",
-       "     32.11463165283203,\n",
-       "     41.62809371948242,\n",
-       "     126795.9921875,\n",
-       "     39.350181579589844,\n",
-       "     87.79580688476562,\n",
-       "     26.401588439941406,\n",
-       "     362.6590576171875,\n",
-       "     101.25609588623047,\n",
-       "     23.456106185913086,\n",
-       "     21.45635223388672,\n",
-       "     74.17300415039062,\n",
-       "     95.09648895263672,\n",
-       "     26.410736083984375,\n",
-       "     20095.244140625,\n",
-       "     230.7347869873047,\n",
-       "     28.685497283935547,\n",
-       "     63.63335037231445,\n",
-       "     77.13699340820312,\n",
-       "     26.481613159179688,\n",
-       "     47.524681091308594,\n",
-       "     70.77971649169922,\n",
-       "     1843.601806640625,\n",
-       "     25.848678588867188,\n",
-       "     10.336939811706543,\n",
-       "     705.9268798828125,\n",
-       "     75.44247436523438,\n",
-       "     39.02870178222656,\n",
-       "     302.1763916015625,\n",
-       "     8.006257057189941,\n",
-       "     73.46619415283203,\n",
-       "     33.51382064819336,\n",
-       "     10439.8505859375,\n",
-       "     13.362417221069336,\n",
-       "     162.15960693359375,\n",
-       "     22.18136978149414,\n",
-       "     17.125961303710938,\n",
-       "     7.7348737716674805,\n",
-       "     4586.9482421875,\n",
-       "     20.210079193115234,\n",
-       "     28.537137985229492,\n",
-       "     36466.9921875,\n",
-       "     22.20534324645996,\n",
-       "     80.39472961425781,\n",
-       "     87.31310272216797,\n",
-       "     19.035451889038086,\n",
-       "     26.727052688598633,\n",
-       "     82.311279296875,\n",
-       "     30.64400291442871,\n",
-       "     37.439701080322266,\n",
-       "     66.1491928100586,\n",
-       "     35.504981994628906,\n",
-       "     28.596227645874023,\n",
-       "     28.70524787902832,\n",
-       "     18.56167984008789,\n",
-       "     94.56891632080078,\n",
-       "     199.69964599609375,\n",
-       "     93.15608978271484,\n",
-       "     46.64133071899414,\n",
-       "     26.3082275390625,\n",
-       "     26.84583282470703,\n",
-       "     85.1803970336914,\n",
-       "     126.94952392578125,\n",
-       "     7.7427873611450195,\n",
-       "     53.60639953613281,\n",
-       "     42.93661117553711,\n",
-       "     30.18895721435547,\n",
-       "     20.523786544799805,\n",
-       "     15.289114952087402,\n",
-       "     39.26758575439453,\n",
-       "     2192.096435546875,\n",
-       "     28.176273345947266,\n",
-       "     25.65544891357422,\n",
-       "     171.06246948242188,\n",
-       "     29.983619689941406,\n",
-       "     30.42803192138672,\n",
-       "     31.714704513549805,\n",
-       "     15044.09765625,\n",
-       "     22.15239143371582,\n",
-       "     67.68681335449219,\n",
-       "     100.11336517333984,\n",
-       "     40.42636489868164,\n",
-       "     29.605331420898438,\n",
-       "     48.155216217041016,\n",
-       "     14.396186828613281,\n",
-       "     29.013254165649414,\n",
-       "     26.361364364624023,\n",
-       "     19.960866928100586,\n",
-       "     68.8355941772461,\n",
-       "     29.29583740234375,\n",
-       "     32.82291793823242,\n",
-       "     31.780738830566406,\n",
-       "     16.08697509765625,\n",
-       "     34.93206787109375,\n",
-       "     27.36103630065918,\n",
-       "     50.44474792480469,\n",
-       "     59.522010803222656,\n",
-       "     312.6104736328125,\n",
-       "     29.054109573364258,\n",
-       "     34.75701904296875,\n",
-       "     8.09687614440918,\n",
-       "     54.09621047973633,\n",
-       "     61.44231414794922,\n",
-       "     271.42462158203125,\n",
-       "     35.14213180541992,\n",
-       "     111.99459075927734,\n",
-       "     8.44454288482666,\n",
-       "     123.31929779052734,\n",
-       "     126.59722137451172,\n",
-       "     36.5045166015625,\n",
-       "     35.1024169921875,\n",
-       "     30.776689529418945,\n",
-       "     42.19173049926758,\n",
-       "     23.56074333190918,\n",
-       "     16.27764320373535,\n",
-       "     21.946983337402344,\n",
-       "     2847.523681640625,\n",
-       "     6.010672092437744,\n",
-       "     7.208390712738037,\n",
-       "     57.01736831665039,\n",
-       "     143.33522033691406,\n",
-       "     18.823171615600586,\n",
-       "     75.49005126953125,\n",
-       "     28.074281692504883,\n",
-       "     50.36292266845703,\n",
-       "     22.38804054260254,\n",
-       "     10922.8642578125,\n",
-       "     77.86014556884766,\n",
-       "     206.0198211669922,\n",
-       "     26.313854217529297,\n",
-       "     28.7144832611084,\n",
-       "     683.16259765625,\n",
-       "     14.72204875946045,\n",
-       "     22.581785202026367,\n",
-       "     12.513693809509277,\n",
-       "     7.676373481750488,\n",
-       "     167.21697998046875,\n",
-       "     59.42802429199219,\n",
-       "     79.70228576660156,\n",
-       "     28.858816146850586,\n",
-       "     34.82012176513672,\n",
-       "     29.310733795166016,\n",
-       "     7.445798397064209,\n",
-       "     107.870361328125,\n",
-       "     24.9678897857666,\n",
-       "     8972.31640625,\n",
-       "     75.58406066894531,\n",
-       "     33.64850997924805,\n",
-       "     26.492366790771484,\n",
-       "     105.02246856689453,\n",
-       "     33.26601028442383,\n",
-       "     28.82748031616211,\n",
-       "     107.10002899169922,\n",
-       "     22.544139862060547,\n",
-       "     34.292964935302734,\n",
-       "     140.15126037597656,\n",
-       "     42.346309661865234,\n",
-       "     53.06807327270508,\n",
-       "     49.23423767089844,\n",
-       "     95.54383087158203,\n",
-       "     75.17684936523438,\n",
-       "     37.09901809692383,\n",
-       "     37.3985481262207,\n",
-       "     239.65248107910156,\n",
-       "     19.611927032470703,\n",
-       "     50.67652130126953,\n",
-       "     29.766639709472656,\n",
-       "     79.36975860595703,\n",
-       "     576.424560546875,\n",
-       "     49.84981155395508,\n",
-       "     157.46791076660156,\n",
-       "     23.33124351501465,\n",
-       "     48.718997955322266,\n",
-       "     16.699039459228516,\n",
-       "     53.90824508666992,\n",
-       "     30.789085388183594,\n",
-       "     157.50238037109375,\n",
-       "     33.97496795654297,\n",
-       "     42.18190383911133,\n",
-       "     9.393257141113281,\n",
-       "     20.298938751220703,\n",
-       "     59.12922286987305,\n",
-       "     28.1489315032959,\n",
-       "     41.633888244628906,\n",
-       "     43.42710876464844,\n",
-       "     24.689950942993164,\n",
-       "     27.106510162353516,\n",
-       "     24.369211196899414,\n",
-       "     30.363527297973633,\n",
-       "     25.330059051513672,\n",
-       "     12.639852523803711,\n",
-       "     25.034690856933594,\n",
-       "     42.8533821105957,\n",
-       "     180.43011474609375,\n",
-       "     60.7864875793457,\n",
-       "     69.09495544433594,\n",
-       "     32.384464263916016,\n",
-       "     32.742679595947266,\n",
-       "     254.2848358154297,\n",
-       "     25.241365432739258,\n",
-       "     102.80842590332031,\n",
-       "     111.0848388671875,\n",
-       "     235.91416931152344,\n",
-       "     45.50685501098633,\n",
-       "     23.011512756347656,\n",
-       "     687.4073486328125,\n",
-       "     43.0496940612793,\n",
-       "     25.37106704711914,\n",
-       "     86.02627563476562,\n",
-       "     22.015275955200195,\n",
-       "     44.18194580078125,\n",
-       "     44.794288635253906,\n",
-       "     46.876468658447266,\n",
-       "     25.577377319335938,\n",
-       "     81.19080352783203,\n",
-       "     36.699668884277344,\n",
-       "     1552.510498046875,\n",
-       "     309.1971740722656,\n",
-       "     29.970518112182617,\n",
-       "     57.91835403442383,\n",
-       "     62.551612854003906,\n",
-       "     25.855674743652344,\n",
-       "     29.283212661743164,\n",
-       "     28.56865692138672,\n",
-       "     38.86330032348633,\n",
-       "     48.388038635253906,\n",
-       "     ...],\n",
-       "    'total_households': 23140266.80052776,\n",
-       "    'is_male': [True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     False,\n",
-       "     True,\n",
-       "     ...],\n",
-       "    'age': [34,\n",
-       "     33,\n",
-       "     2,\n",
-       "     20,\n",
-       "     19,\n",
-       "     19,\n",
-       "     48,\n",
-       "     42,\n",
-       "     18,\n",
-       "     80,\n",
-       "     80,\n",
-       "     58,\n",
-       "     27,\n",
-       "     48,\n",
-       "     14,\n",
-       "     9,\n",
-       "     30,\n",
-       "     26,\n",
-       "     78,\n",
-       "     80,\n",
-       "     77,\n",
-       "     56,\n",
-       "     62,\n",
-       "     39,\n",
-       "     46,\n",
-       "     13,\n",
-       "     11,\n",
-       "     49,\n",
-       "     55,\n",
-       "     16,\n",
-       "     13,\n",
-       "     18,\n",
-       "     66,\n",
-       "     34,\n",
-       "     67,\n",
-       "     54,\n",
-       "     71,\n",
-       "     68,\n",
-       "     71,\n",
-       "     71,\n",
-       "     80,\n",
-       "     63,\n",
-       "     61,\n",
-       "     45,\n",
-       "     51,\n",
-       "     10,\n",
-       "     7,\n",
-       "     55,\n",
-       "     61,\n",
-       "     17,\n",
-       "     39,\n",
-       "     40,\n",
-       "     8,\n",
-       "     6,\n",
-       "     2,\n",
-       "     50,\n",
-       "     74,\n",
-       "     76,\n",
-       "     45,\n",
-       "     38,\n",
-       "     16,\n",
-       "     13,\n",
-       "     80,\n",
-       "     39,\n",
-       "     37,\n",
-       "     60,\n",
-       "     60,\n",
-       "     43,\n",
-       "     15,\n",
-       "     69,\n",
-       "     65,\n",
-       "     48,\n",
-       "     56,\n",
-       "     44,\n",
-       "     56,\n",
-       "     60,\n",
-       "     69,\n",
-       "     67,\n",
-       "     40,\n",
-       "     40,\n",
-       "     11,\n",
-       "     5,\n",
-       "     75,\n",
-       "     74,\n",
-       "     40,\n",
-       "     45,\n",
-       "     11,\n",
-       "     8,\n",
-       "     44,\n",
-       "     46,\n",
-       "     14,\n",
-       "     8,\n",
-       "     62,\n",
-       "     61,\n",
-       "     75,\n",
-       "     78,\n",
-       "     42,\n",
-       "     35,\n",
-       "     5,\n",
-       "     51,\n",
-       "     68,\n",
-       "     64,\n",
-       "     23,\n",
-       "     23,\n",
-       "     47,\n",
-       "     47,\n",
-       "     11,\n",
-       "     8,\n",
-       "     80,\n",
-       "     58,\n",
-       "     54,\n",
-       "     60,\n",
-       "     35,\n",
-       "     80,\n",
-       "     77,\n",
-       "     70,\n",
-       "     74,\n",
-       "     80,\n",
-       "     80,\n",
-       "     48,\n",
-       "     35,\n",
-       "     41,\n",
-       "     71,\n",
-       "     43,\n",
-       "     75,\n",
-       "     74,\n",
-       "     43,\n",
-       "     45,\n",
-       "     19,\n",
-       "     13,\n",
-       "     11,\n",
-       "     6,\n",
-       "     80,\n",
-       "     27,\n",
-       "     43,\n",
-       "     53,\n",
-       "     18,\n",
-       "     12,\n",
-       "     79,\n",
-       "     48,\n",
-       "     1,\n",
-       "     61,\n",
-       "     57,\n",
-       "     74,\n",
-       "     35,\n",
-       "     10,\n",
-       "     9,\n",
-       "     2,\n",
-       "     30,\n",
-       "     34,\n",
-       "     80,\n",
-       "     70,\n",
-       "     63,\n",
-       "     34,\n",
-       "     40,\n",
-       "     45,\n",
-       "     19,\n",
-       "     48,\n",
-       "     18,\n",
-       "     40,\n",
-       "     15,\n",
-       "     2,\n",
-       "     48,\n",
-       "     50,\n",
-       "     21,\n",
-       "     19,\n",
-       "     80,\n",
-       "     80,\n",
-       "     46,\n",
-       "     45,\n",
-       "     11,\n",
-       "     8,\n",
-       "     7,\n",
-       "     63,\n",
-       "     59,\n",
-       "     55,\n",
-       "     50,\n",
-       "     15,\n",
-       "     15,\n",
-       "     17,\n",
-       "     70,\n",
-       "     70,\n",
-       "     52,\n",
-       "     71,\n",
-       "     34,\n",
-       "     42,\n",
-       "     8,\n",
-       "     7,\n",
-       "     2,\n",
-       "     78,\n",
-       "     73,\n",
-       "     39,\n",
-       "     73,\n",
-       "     35,\n",
-       "     13,\n",
-       "     9,\n",
-       "     3,\n",
-       "     79,\n",
-       "     17,\n",
-       "     16,\n",
-       "     38,\n",
-       "     42,\n",
-       "     7,\n",
-       "     5,\n",
-       "     59,\n",
-       "     57,\n",
-       "     80,\n",
-       "     78,\n",
-       "     70,\n",
-       "     69,\n",
-       "     44,\n",
-       "     40,\n",
-       "     27,\n",
-       "     31,\n",
-       "     32,\n",
-       "     41,\n",
-       "     43,\n",
-       "     32,\n",
-       "     61,\n",
-       "     59,\n",
-       "     58,\n",
-       "     56,\n",
-       "     80,\n",
-       "     26,\n",
-       "     69,\n",
-       "     72,\n",
-       "     34,\n",
-       "     60,\n",
-       "     61,\n",
-       "     68,\n",
-       "     32,\n",
-       "     35,\n",
-       "     64,\n",
-       "     28,\n",
-       "     32,\n",
-       "     30,\n",
-       "     80,\n",
-       "     80,\n",
-       "     68,\n",
-       "     59,\n",
-       "     57,\n",
-       "     69,\n",
-       "     62,\n",
-       "     56,\n",
-       "     80,\n",
-       "     50,\n",
-       "     80,\n",
-       "     66,\n",
-       "     53,\n",
-       "     17,\n",
-       "     21,\n",
-       "     78,\n",
-       "     75,\n",
-       "     43,\n",
-       "     47,\n",
-       "     7,\n",
-       "     9,\n",
-       "     65,\n",
-       "     53,\n",
-       "     62,\n",
-       "     55,\n",
-       "     33,\n",
-       "     34,\n",
-       "     42,\n",
-       "     46,\n",
-       "     12,\n",
-       "     9,\n",
-       "     45,\n",
-       "     40,\n",
-       "     5,\n",
-       "     8,\n",
-       "     55,\n",
-       "     40,\n",
-       "     40,\n",
-       "     6,\n",
-       "     0,\n",
-       "     50,\n",
-       "     29,\n",
-       "     6,\n",
-       "     3,\n",
-       "     57,\n",
-       "     27,\n",
-       "     69,\n",
-       "     65,\n",
-       "     51,\n",
-       "     45,\n",
-       "     15,\n",
-       "     12,\n",
-       "     42,\n",
-       "     43,\n",
-       "     4,\n",
-       "     52,\n",
-       "     28,\n",
-       "     29,\n",
-       "     25,\n",
-       "     63,\n",
-       "     80,\n",
-       "     34,\n",
-       "     28,\n",
-       "     5,\n",
-       "     30,\n",
-       "     32,\n",
-       "     2,\n",
-       "     0,\n",
-       "     53,\n",
-       "     54,\n",
-       "     78,\n",
-       "     79,\n",
-       "     58,\n",
-       "     72,\n",
-       "     74,\n",
-       "     74,\n",
-       "     80,\n",
-       "     71,\n",
-       "     50,\n",
-       "     15,\n",
-       "     11,\n",
-       "     80,\n",
-       "     71,\n",
-       "     70,\n",
-       "     80,\n",
-       "     75,\n",
-       "     72,\n",
-       "     52,\n",
-       "     63,\n",
-       "     53,\n",
-       "     80,\n",
-       "     21,\n",
-       "     75,\n",
-       "     75,\n",
-       "     69,\n",
-       "     76,\n",
-       "     15,\n",
-       "     13,\n",
-       "     41,\n",
-       "     42,\n",
-       "     14,\n",
-       "     12,\n",
-       "     38,\n",
-       "     52,\n",
-       "     5,\n",
-       "     21,\n",
-       "     17,\n",
-       "     35,\n",
-       "     35,\n",
-       "     1,\n",
-       "     36,\n",
-       "     29,\n",
-       "     0,\n",
-       "     50,\n",
-       "     50,\n",
-       "     31,\n",
-       "     33,\n",
-       "     22,\n",
-       "     39,\n",
-       "     43,\n",
-       "     10,\n",
-       "     8,\n",
-       "     13,\n",
-       "     27,\n",
-       "     30,\n",
-       "     50,\n",
-       "     53,\n",
-       "     15,\n",
-       "     16,\n",
-       "     49,\n",
-       "     44,\n",
-       "     43,\n",
-       "     12,\n",
-       "     8,\n",
-       "     80,\n",
-       "     78,\n",
-       "     77,\n",
-       "     65,\n",
-       "     54,\n",
-       "     37,\n",
-       "     43,\n",
-       "     7,\n",
-       "     5,\n",
-       "     2,\n",
-       "     80,\n",
-       "     62,\n",
-       "     69,\n",
-       "     53,\n",
-       "     65,\n",
-       "     32,\n",
-       "     23,\n",
-       "     58,\n",
-       "     57,\n",
-       "     18,\n",
-       "     47,\n",
-       "     78,\n",
-       "     76,\n",
-       "     39,\n",
-       "     14,\n",
-       "     12,\n",
-       "     36,\n",
-       "     4,\n",
-       "     48,\n",
-       "     56,\n",
-       "     58,\n",
-       "     61,\n",
-       "     32,\n",
-       "     3,\n",
-       "     70,\n",
-       "     60,\n",
-       "     60,\n",
-       "     33,\n",
-       "     72,\n",
-       "     74,\n",
-       "     67,\n",
-       "     60,\n",
-       "     56,\n",
-       "     38,\n",
-       "     41,\n",
-       "     47,\n",
-       "     15,\n",
-       "     12,\n",
-       "     2,\n",
-       "     51,\n",
-       "     80,\n",
-       "     80,\n",
-       "     72,\n",
-       "     25,\n",
-       "     76,\n",
-       "     51,\n",
-       "     15,\n",
-       "     19,\n",
-       "     54,\n",
-       "     68,\n",
-       "     39,\n",
-       "     40,\n",
-       "     12,\n",
-       "     63,\n",
-       "     57,\n",
-       "     76,\n",
-       "     69,\n",
-       "     74,\n",
-       "     76,\n",
-       "     46,\n",
-       "     43,\n",
-       "     11,\n",
-       "     9,\n",
-       "     33,\n",
-       "     27,\n",
-       "     1,\n",
-       "     41,\n",
-       "     70,\n",
-       "     40,\n",
-       "     51,\n",
-       "     49,\n",
-       "     16,\n",
-       "     13,\n",
-       "     9,\n",
-       "     66,\n",
-       "     61,\n",
-       "     52,\n",
-       "     68,\n",
-       "     67,\n",
-       "     37,\n",
-       "     34,\n",
-       "     13,\n",
-       "     77,\n",
-       "     74,\n",
-       "     56,\n",
-       "     56,\n",
-       "     23,\n",
-       "     23,\n",
-       "     72,\n",
-       "     73,\n",
-       "     30,\n",
-       "     30,\n",
-       "     0,\n",
-       "     65,\n",
-       "     76,\n",
-       "     72,\n",
-       "     69,\n",
-       "     77,\n",
-       "     39,\n",
-       "     48,\n",
-       "     14,\n",
-       "     11,\n",
-       "     27,\n",
-       "     33,\n",
-       "     43,\n",
-       "     40,\n",
-       "     7,\n",
-       "     12,\n",
-       "     43,\n",
-       "     77,\n",
-       "     75,\n",
-       "     77,\n",
-       "     59,\n",
-       "     62,\n",
-       "     27,\n",
-       "     0,\n",
-       "     69,\n",
-       "     74,\n",
-       "     56,\n",
-       "     77,\n",
-       "     78,\n",
-       "     74,\n",
-       "     80,\n",
-       "     58,\n",
-       "     58,\n",
-       "     80,\n",
-       "     80,\n",
-       "     51,\n",
-       "     46,\n",
-       "     38,\n",
-       "     7,\n",
-       "     67,\n",
-       "     79,\n",
-       "     61,\n",
-       "     30,\n",
-       "     31,\n",
-       "     53,\n",
-       "     62,\n",
-       "     62,\n",
-       "     62,\n",
-       "     61,\n",
-       "     80,\n",
-       "     80,\n",
-       "     63,\n",
-       "     71,\n",
-       "     49,\n",
-       "     44,\n",
-       "     8,\n",
-       "     1,\n",
-       "     68,\n",
-       "     65,\n",
-       "     62,\n",
-       "     47,\n",
-       "     12,\n",
-       "     9,\n",
-       "     66,\n",
-       "     57,\n",
-       "     60,\n",
-       "     31,\n",
-       "     71,\n",
-       "     71,\n",
-       "     38,\n",
-       "     40,\n",
-       "     13,\n",
-       "     10,\n",
-       "     51,\n",
-       "     37,\n",
-       "     32,\n",
-       "     7,\n",
-       "     5,\n",
-       "     25,\n",
-       "     19,\n",
-       "     67,\n",
-       "     69,\n",
-       "     74,\n",
-       "     69,\n",
-       "     22,\n",
-       "     37,\n",
-       "     45,\n",
-       "     4,\n",
-       "     4,\n",
-       "     53,\n",
-       "     56,\n",
-       "     17,\n",
-       "     52,\n",
-       "     56,\n",
-       "     40,\n",
-       "     42,\n",
-       "     14,\n",
-       "     37,\n",
-       "     72,\n",
-       "     80,\n",
-       "     73,\n",
-       "     34,\n",
-       "     37,\n",
-       "     4,\n",
-       "     2,\n",
-       "     37,\n",
-       "     16,\n",
-       "     12,\n",
-       "     66,\n",
-       "     62,\n",
-       "     65,\n",
-       "     76,\n",
-       "     25,\n",
-       "     25,\n",
-       "     26,\n",
-       "     7,\n",
-       "     6,\n",
-       "     4,\n",
-       "     32,\n",
-       "     34,\n",
-       "     4,\n",
-       "     0,\n",
-       "     37,\n",
-       "     38,\n",
-       "     10,\n",
-       "     5,\n",
-       "     46,\n",
-       "     54,\n",
-       "     14,\n",
-       "     21,\n",
-       "     41,\n",
-       "     35,\n",
-       "     13,\n",
-       "     4,\n",
-       "     11,\n",
-       "     77,\n",
-       "     70,\n",
-       "     50,\n",
-       "     12,\n",
-       "     42,\n",
-       "     72,\n",
-       "     74,\n",
-       "     58,\n",
-       "     25,\n",
-       "     27,\n",
-       "     30,\n",
-       "     30,\n",
-       "     35,\n",
-       "     32,\n",
-       "     1,\n",
-       "     55,\n",
-       "     32,\n",
-       "     7,\n",
-       "     4,\n",
-       "     76,\n",
-       "     47,\n",
-       "     50,\n",
-       "     17,\n",
-       "     69,\n",
-       "     69,\n",
-       "     65,\n",
-       "     28,\n",
-       "     50,\n",
-       "     29,\n",
-       "     27,\n",
-       "     9,\n",
-       "     66,\n",
-       "     50,\n",
-       "     41,\n",
-       "     14,\n",
-       "     39,\n",
-       "     30,\n",
-       "     6,\n",
-       "     2,\n",
-       "     41,\n",
-       "     40,\n",
-       "     6,\n",
-       "     2,\n",
-       "     46,\n",
-       "     48,\n",
-       "     47,\n",
-       "     47,\n",
-       "     20,\n",
-       "     56,\n",
-       "     54,\n",
-       "     43,\n",
-       "     42,\n",
-       "     39,\n",
-       "     12,\n",
-       "     10,\n",
-       "     51,\n",
-       "     56,\n",
-       "     57,\n",
-       "     21,\n",
-       "     69,\n",
-       "     79,\n",
-       "     72,\n",
-       "     67,\n",
-       "     45,\n",
-       "     17,\n",
-       "     14,\n",
-       "     18,\n",
-       "     34,\n",
-       "     38,\n",
-       "     9,\n",
-       "     6,\n",
-       "     62,\n",
-       "     58,\n",
-       "     55,\n",
-       "     40,\n",
-       "     8,\n",
-       "     73,\n",
-       "     67,\n",
-       "     70,\n",
-       "     50,\n",
-       "     40,\n",
-       "     14,\n",
-       "     11,\n",
-       "     7,\n",
-       "     20,\n",
-       "     80,\n",
-       "     45,\n",
-       "     78,\n",
-       "     79,\n",
-       "     51,\n",
-       "     35,\n",
-       "     79,\n",
-       "     51,\n",
-       "     47,\n",
-       "     32,\n",
-       "     32,\n",
-       "     0,\n",
-       "     39,\n",
-       "     38,\n",
-       "     4,\n",
-       "     4,\n",
-       "     56,\n",
-       "     57,\n",
-       "     25,\n",
-       "     70,\n",
-       "     80,\n",
-       "     27,\n",
-       "     73,\n",
-       "     74,\n",
-       "     21,\n",
-       "     20,\n",
-       "     62,\n",
-       "     63,\n",
-       "     56,\n",
-       "     60,\n",
-       "     20,\n",
-       "     18,\n",
-       "     49,\n",
-       "     64,\n",
-       "     24,\n",
-       "     75,\n",
-       "     34,\n",
-       "     6,\n",
-       "     30,\n",
-       "     29,\n",
-       "     26,\n",
-       "     26,\n",
-       "     1,\n",
-       "     73,\n",
-       "     64,\n",
-       "     70,\n",
-       "     69,\n",
-       "     29,\n",
-       "     31,\n",
-       "     31,\n",
-       "     52,\n",
-       "     54,\n",
-       "     69,\n",
-       "     34,\n",
-       "     61,\n",
-       "     73,\n",
-       "     69,\n",
-       "     73,\n",
-       "     62,\n",
-       "     58,\n",
-       "     74,\n",
-       "     75,\n",
-       "     54,\n",
-       "     55,\n",
-       "     54,\n",
-       "     24,\n",
-       "     1,\n",
-       "     71,\n",
-       "     69,\n",
-       "     57,\n",
-       "     63,\n",
-       "     18,\n",
-       "     33,\n",
-       "     34,\n",
-       "     64,\n",
-       "     63,\n",
-       "     69,\n",
-       "     71,\n",
-       "     74,\n",
-       "     74,\n",
-       "     73,\n",
-       "     74,\n",
-       "     45,\n",
-       "     67,\n",
-       "     63,\n",
-       "     68,\n",
-       "     80,\n",
-       "     65,\n",
-       "     42,\n",
-       "     28,\n",
-       "     75,\n",
-       "     77,\n",
-       "     31,\n",
-       "     37,\n",
-       "     8,\n",
-       "     4,\n",
-       "     1,\n",
-       "     54,\n",
-       "     54,\n",
-       "     80,\n",
-       "     45,\n",
-       "     44,\n",
-       "     15,\n",
-       "     9,\n",
-       "     75,\n",
-       "     76,\n",
-       "     74,\n",
-       "     57,\n",
-       "     46,\n",
-       "     57,\n",
-       "     17,\n",
-       "     16,\n",
-       "     11,\n",
-       "     80,\n",
-       "     80,\n",
-       "     65,\n",
-       "     80,\n",
-       "     80,\n",
-       "     80,\n",
-       "     71,\n",
-       "     65,\n",
-       "     68,\n",
-       "     25,\n",
-       "     78,\n",
-       "     78,\n",
-       "     60,\n",
-       "     72,\n",
-       "     53,\n",
-       "     57,\n",
-       "     21,\n",
-       "     19,\n",
-       "     68,\n",
-       "     63,\n",
-       "     58,\n",
-       "     50,\n",
-       "     16,\n",
-       "     59,\n",
-       "     64,\n",
-       "     20,\n",
-       "     40,\n",
-       "     38,\n",
-       "     7,\n",
-       "     5,\n",
-       "     45,\n",
-       "     46,\n",
-       "     17,\n",
-       "     20,\n",
-       "     73,\n",
-       "     45,\n",
-       "     57,\n",
-       "     9,\n",
-       "     29,\n",
-       "     28,\n",
-       "     46,\n",
-       "     46,\n",
-       "     14,\n",
-       "     10,\n",
-       "     25,\n",
-       "     61,\n",
-       "     29,\n",
-       "     29,\n",
-       "     6,\n",
-       "     47,\n",
-       "     43,\n",
-       "     11,\n",
-       "     9,\n",
-       "     8,\n",
-       "     5,\n",
-       "     40,\n",
-       "     36,\n",
-       "     9,\n",
-       "     38,\n",
-       "     9,\n",
-       "     7,\n",
-       "     64,\n",
-       "     63,\n",
-       "     23,\n",
-       "     23,\n",
-       "     4,\n",
-       "     3,\n",
-       "     58,\n",
-       "     57,\n",
-       "     52,\n",
-       "     17,\n",
-       "     14,\n",
-       "     42,\n",
-       "     45,\n",
-       "     14,\n",
-       "     13,\n",
-       "     11,\n",
-       "     10,\n",
-       "     42,\n",
-       "     7,\n",
-       "     9,\n",
-       "     23,\n",
-       "     26,\n",
-       "     60,\n",
-       "     36,\n",
-       "     63,\n",
-       "     51,\n",
-       "     46,\n",
-       "     31,\n",
-       "     27,\n",
-       "     28,\n",
-       "     5,\n",
-       "     2,\n",
-       "     1,\n",
-       "     42,\n",
-       "     42,\n",
-       "     7,\n",
-       "     56,\n",
-       "     56,\n",
-       "     79,\n",
-       "     80,\n",
-       "     79,\n",
-       "     80,\n",
-       "     71,\n",
-       "     73,\n",
-       "     29,\n",
-       "     80,\n",
-       "     60,\n",
-       "     43,\n",
-       "     45,\n",
-       "     73,\n",
-       "     33,\n",
-       "     38,\n",
-       "     41,\n",
-       "     41,\n",
-       "     50,\n",
-       "     12,\n",
-       "     6,\n",
-       "     4,\n",
-       "     74,\n",
-       "     73,\n",
-       "     53,\n",
-       "     58,\n",
-       "     40,\n",
-       "     40,\n",
-       "     28,\n",
-       "     28,\n",
-       "     64,\n",
-       "     58,\n",
-       "     74,\n",
-       "     73,\n",
-       "     74,\n",
-       "     21,\n",
-       "     77,\n",
-       "     76,\n",
-       "     27,\n",
-       "     8,\n",
-       "     4,\n",
-       "     3,\n",
-       "     29,\n",
-       "     27,\n",
-       "     6,\n",
-       "     5,\n",
-       "     72,\n",
-       "     70,\n",
-       "     80,\n",
-       "     38,\n",
-       "     40,\n",
-       "     2,\n",
-       "     0,\n",
-       "     67,\n",
-       "     69,\n",
-       "     51,\n",
-       "     51,\n",
-       "     15,\n",
-       "     12,\n",
-       "     71,\n",
-       "     75,\n",
-       "     55,\n",
-       "     27,\n",
-       "     45,\n",
-       "     49,\n",
-       "     14,\n",
-       "     11,\n",
-       "     47,\n",
-       "     46,\n",
-       "     17,\n",
-       "     13,\n",
-       "     66,\n",
-       "     29,\n",
-       "     25,\n",
-       "     73,\n",
-       "     64,\n",
-       "     80,\n",
-       "     76,\n",
-       "     72,\n",
-       "     37,\n",
-       "     16,\n",
-       "     8,\n",
-       "     42,\n",
-       "     44,\n",
-       "     6,\n",
-       "     26,\n",
-       "     24,\n",
-       "     56,\n",
-       "     27,\n",
-       "     60,\n",
-       "     58,\n",
-       "     71,\n",
-       "     37,\n",
-       "     35,\n",
-       "     14,\n",
-       "     68,\n",
-       "     67,\n",
-       "     62,\n",
-       "     ...],\n",
-       "    'race': None},\n",
-       "   'inequality': {'gini': 0.358379064086748,\n",
-       "    'top_10_percent_share': 0.29907741159640616,\n",
-       "    'top_1_percent_share': 0.1347626305894055},\n",
-       "   'labor_supply': {'substitution_lsr': 0,\n",
-       "    'income_lsr': 0,\n",
-       "    'income_lsr_hh': [0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     ...],\n",
-       "    'substitution_lsr_hh': [0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     0.0,\n",
-       "     ...],\n",
-       "    'weekly_hours': 0,\n",
-       "    'weekly_hours_income_effect': 0,\n",
-       "    'weekly_hours_substitution_effect': 0,\n",
-       "    'total_earnings': 1340946114730.9246,\n",
-       "    'total_workers': 32697735.717292428},\n",
-       "   'income_distribution': {0: 28638.17159663886,\n",
-       "    5000: 334671.02372761816,\n",
-       "    10000: 892901.8871991932,\n",
-       "    15000: 1192876.201390043,\n",
-       "    20000: 1372329.1174580976,\n",
-       "    25000: 1579255.1622462124,\n",
-       "    30000: 1946388.5832830966,\n",
-       "    35000: 1401869.1041857302,\n",
-       "    40000: 1468807.3108290136,\n",
-       "    45000: 1215675.881689474,\n",
-       "    50000: 1354563.5807273462,\n",
-       "    55000: 964829.5402759314,\n",
-       "    60000: 922988.8669875562,\n",
-       "    65000: 957018.2603768259,\n",
-       "    70000: 1079843.9408770353,\n",
-       "    75000: 637419.0076136664,\n",
-       "    80000: 498186.0265044421,\n",
-       "    85000: 831455.4363349453,\n",
-       "    90000: 516631.74205611646,\n",
-       "    95000: 517338.60617863387,\n",
-       "    100000: 459757.5646894872,\n",
-       "    105000: 368505.1371051371,\n",
-       "    110000: 229580.181141451,\n",
-       "    115000: 460770.2185702473}},\n",
-       "  'gov': {'budget_window': {'total_tax': [780424314834.1508],\n",
-       "    'total_spending': [306280657459.9808],\n",
-       "    'total_state_tax': [0],\n",
-       "    'total_budget': [474143657374.17],\n",
-       "    'total_federal_budget': [474143657374.17]},\n",
-       "   'programs': {'income_tax': 459654340398.327,\n",
-       "    'national_insurance': 53168761056.25772,\n",
-       "    'vat': 214871983017.21628,\n",
-       "    'council_tax': 45077685919.83074,\n",
-       "    'fuel_duty': 25313698252.372284,\n",
-       "    'tax_credits': -81931249.11630942,\n",
-       "    'universal_credit': -74087374720.54732,\n",
-       "    'child_benefit': -14596018214.875364,\n",
-       "    'state_pension': -126747036451.91475,\n",
-       "    'pension_credit': -9598227786.405336,\n",
-       "    'ni_employer': 125551554850.68323},\n",
-       "   'balance': {'total_tax': 780424314834.1508,\n",
-       "    'total_spending': 306280657459.9808,\n",
-       "    'total_state_tax': 0},\n",
-       "   'local_areas': {'parliamentary_constituencies': {},\n",
-       "    'local_authorities': {}}}}}"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from policyengine import Simulation\n",
-    "\n",
-    "sim = Simulation(\n",
-    "    country=\"uk\",\n",
-    "    scope=\"macro\",\n",
-    "    data=\"enhanced_frs\",\n",
-    "    time_period=2025,\n",
-    "    reform={\n",
-    "        \"gov.hmrc.income_tax.allowances.personal_allowance.amount\": {\n",
-    "            \"2025\": 0,\n",
-    "        }\n",
-    "    }\n",
-    ")\n",
-    "sim.calculate(\"macro\")"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "base",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.14"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/docs/reference/calculate.md b/docs/reference/calculate.md
deleted file mode 100644
index bdb6c0c1..00000000
--- a/docs/reference/calculate.md
+++ /dev/null
@@ -1,608 +0,0 @@
-# Calculate
-
-The `Simulation.calculate` function is the most important function in the `Simulation` class. Think of initialising the `Simulation` class as setting up the world model (with assumptions and data specified), and `calculate` as asking it a question (we refer to this as an `endpoint`).
-
-Generally, you call `calculate('folder/structure/question')`, with the questions being organised in a folder structure that makes sense. For example, we might call `Simulation.calculate('macro/comparison/budget/general/tax_revenue_impact')` to ask the model to calculate the impact of a tax revenue change on the budget.
-
-The set of possible questions depends on the parameters of the `Simulation` you've defined. For example, if you set up a simulation with household data describing a person who earns £30,000 a year, you can't ask it for the budgetary impact of a reform, but you can ask it for the change to that person's net income. If you set up a simulation from PolicyEngine's survey data, you can ask it for the impact of a policy on the distribution of income, but you can't ask "how does this reform affect this person's net income?".
-
-This page contains a list of all the questions you can ask the model, organised by folder structure. Under each one, we add the description, output type, and conditions under which you can ask that question.
-
-To reduce duplication, we've organised them into four categories, by the type of simulation you're running:
-
-* Single macro: simulations of a single policy on a large survey dataset. e.g. "What is the poverty rate?"
-* Comparison macro: simulations of two policies (and the effect of comparing them) on a large survey dataset. e.g. "How much revenue would this policy raise?"
-* Single household: simulations of a single policy on a single household. e.g. "What is my net income?"
-* Comparison household: simulations of two policies (and the effect of comparing them) on a single household. e.g. "How much better off would I be under this policy?"
-
-
-## Single macro
-
-
-
-### `macro/gov/balance/total_spending`
-
-The total spending of the government.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/gov/balance/total_state_tax`
-
-The total tax revenue collected at the state level.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/gov/balance/total_tax`
-
-The total tax revenue collected across all levels of government.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/gov/budget_window/total_budget`
-
-The total government budget over the specified budget window.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/gov/budget_window/total_federal_budget`
-
-The total federal government budget over the specified budget window.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/gov/budget_window/total_spending`
-
-The total government spending over the specified budget window.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/gov/budget_window/total_state_tax`
-
-The total state tax revenue over the specified budget window.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/gov/budget_window/total_tax`
-
-The total tax revenue over the specified budget window.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/gov/programs/{program}`
-
-Total expenditure or revenue from a given program. Available programs in the UK are: child_benefit, council_tax, fuel_duty, income_tax, national_insurance, ni_employer, pension_credit, state_pension, tax_credits, universal_credit, vat.
-
-*Output type*: `float`
-
-*Conditions*: `country='uk'`
-
-
-
-
-### `macro/household/demographics/total_households`
-
-Total number of households in the simulation.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/finance/deep_poverty_gap`
-
-The aggregate gap between household incomes and the deep poverty line.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/finance/deep_poverty_rate`
-
-The proportion of households in deep poverty.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/finance/poverty_gap`
-
-The aggregate gap between household incomes and the poverty line.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/finance/poverty_rate`
-
-The proportion of households in poverty.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/finance/total_benefits`
-
-Total benefits received by all households.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/finance/total_market_income`
-
-Total market income (before taxes and transfers) for all households.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/finance/total_net_income`
-
-Total net income (after taxes and transfers) for all households.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/finance/total_tax`
-
-Total tax paid by all households.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-### `macro/household/income_distribution/{lower_bound}`
-
-Total households with income above the lower bound. Request `household/income_distribution` for the full dictionary (this will be more helpful).
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/inequality/gini`
-
-Gini coefficient measuring income inequality (0 = perfect equality, 1 = perfect inequality).
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/inequality/top_10_percent_share`
-
-Share of total income held by the top 10% of households.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/household/inequality/top_1_percent_share`
-
-Share of total income held by the top 1% of households.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-## Comparison macro
-
-
-
-### `macro/comparison/budget/general/baseline_net_income`
-
-Total household net income under the baseline policy.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/budget/general/benefit_spending_impact`
-
-Change in total government benefit spending between reform and baseline.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/budget/general/budgetary_impact`
-
-Overall budgetary impact of the reform (positive means the reform raises revenue).
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/budget/general/households`
-
-Number of households affected by the reform.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/budget/general/state_tax_revenue_impact`
-
-Change in state tax revenue between reform and baseline.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/budget/general/tax_revenue_impact`
-
-Change in total tax revenue between reform and baseline.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/budget/programs/{program}/baseline`
-
-Program spending/revenue under baseline policy, where program is one of: child_benefit, council_tax, fuel_duty, income_tax, national_insurance, ni_employer, pension_credit, state_pension, tax_credits, universal_credit, vat.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/budget/programs/{program}/reform`
-
-Program spending/revenue under reform policy. See baseline endpoint for available programs.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/budget/programs/{program}/difference`
-
-Change in program spending/revenue (reform - baseline). See baseline endpoint for available programs.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/budget/window/federal_budget`
-
-Impact on federal budget over the budget window.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/budget/window/total_budget`
-
-Impact on total budget over the budget window.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/decile/income/average/{n}`
-
-Average change in household net income for income decile n (1-10).
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/decile/income/relative/{n}`
-
-Percentage change in household net income for income decile n (1-10).
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/decile/wealth/average/{n}`
-
-Average change in household net income for wealth decile n (1-10).
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/decile/wealth/relative/{n}`
-
-Percentage change in household net income for wealth decile n (1-10).
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/inequality/gini/baseline`
-
-See baseline endpoint for `household/inequality/gini`.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/inequality/gini/reform`
-
-Gini coefficient under reform policy.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/inequality/top_10_pct_share/baseline`
-
-See baseline endpoint for `household/inequality/top_10_percent_share`.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/inequality/top_10_pct_share/reform`
-
-Share of income held by top 10% under reform policy.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/inequality/top_1_pct_share/baseline`
-
-See baseline endpoint for `household/inequality/top_1_percent_share`.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/inequality/top_1_pct_share/reform`
-
-Share of income held by top 1% under reform policy.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/poverty/age/{poverty_type}/{group}/{metric}`
-
-Poverty metrics by age group, where:
-- poverty_type is 'poverty' or 'deep_poverty'
-- group is 'all', 'child', 'adult', or 'senior'
-- metric is 'baseline', 'reform', or 'change_count' (only available for poverty)
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/poverty/gender/{poverty_type}/{gender}/{metric}`
-
-Poverty metrics by gender, where:
-- poverty_type is 'poverty' or 'deep_poverty'
-- gender is 'male' or 'female'
-- metric is 'baseline' or 'reform'
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/winners/income_decile/all/{outcome}`
-
-Count of households experiencing each outcome across all income deciles, where outcome is:
-'Gain more than 5%', 'Gain less than 5%', 'No change', 'Lose less than 5%', 'Lose more than 5%'
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/winners/income_decile/deciles/{outcome}`
-
-Count of households experiencing each outcome by income decile. See all endpoint for outcome options.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/winners/wealth_decile/all/{outcome}`
-
-Count of households experiencing each outcome across all wealth deciles. See income_decile/all endpoint for outcome options.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-
-### `macro/comparison/winners/wealth_decile/deciles/{outcome}`
-
-Count of households experiencing each outcome by wealth decile. See income_decile/all endpoint for outcome options.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-## Single household
-
-
-
-### `household/net_income`
-
-Net income of the household after taxes and benefits.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-## Comparison household
-
-
-
-### `household/baseline/net_income`
-
-Net income of the household under the baseline policy.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-### `household/comparison/net_income_change`
-
-Change in net income of the household between reform and baseline.
-
-*Output type*: `float`
-
-*Conditions*: None
-
-
-
-### `household/reform/net_income`
-
-Net income of the household under the reform policy.
-
-*Output type*: `float`
-
-*Conditions*: None
diff --git a/policyengine/outputs/macro/comparison/__init__.py b/policyengine/outputs/macro/comparison/__init__.py
new file mode 100644
index 00000000..197ba0a3
--- /dev/null
+++ b/policyengine/outputs/macro/comparison/__init__.py
@@ -0,0 +1 @@
+from .comparison import calculate_macro_comparison
diff --git a/policyengine/outputs/macro/comparison/budget/breakdown.py b/policyengine/outputs/macro/comparison/budget/breakdown.py
index 31c0db92..cf7fa942 100644
--- a/policyengine/outputs/macro/comparison/budget/breakdown.py
+++ b/policyengine/outputs/macro/comparison/budget/breakdown.py
@@ -1,7 +1,9 @@
 from policyengine import Simulation
 from typing import List
 import pandas as pd
-from policyengine.outputs.macro.comparison.budget.general import calculate_general_budget
+from policyengine.outputs.macro.comparison.budget.general import (
+    calculate_general_budget,
+)
 
 
 def calculate_provision_breakdown_comparison(
@@ -46,9 +48,7 @@ def calculate_provision_breakdown_comparison(
                 options=options,
                 data=simulation.data,
             )
-            budget = calculate_general_budget(sim)[
-                "budgetary_impact"
-            ]
+            budget = calculate_general_budget(sim)["budgetary_impact"]
             key_focus = provision_names[i]
             difference = budget - last_budgetary_impact
             last_budgetary_impact = budget
diff --git a/policyengine/outputs/macro/comparison/budget/budget.py b/policyengine/outputs/macro/comparison/budget/budget.py
index 1ef2f6f4..f9b5c87f 100644
--- a/policyengine/outputs/macro/comparison/budget/budget.py
+++ b/policyengine/outputs/macro/comparison/budget/budget.py
@@ -4,12 +4,13 @@
 from .window import calculate_budget_window_comparison
 from .programs import calculate_program_comparison
 
+
 def calculate_budget_comparison(
     simulation: Simulation,
-) -> dict:    
+) -> dict:
     return {
         "breakdown": calculate_provision_breakdown_comparison(simulation),
         "general": calculate_general_budget_comparison(simulation),
         "window": calculate_budget_window_comparison(simulation),
-        "programs": calculate_program_comparison(simulation
-    }
\ No newline at end of file
+        "programs": calculate_program_comparison(simulation),
+    }
diff --git a/policyengine/outputs/macro/comparison/budget/general.py b/policyengine/outputs/macro/comparison/budget/general.py
index b9bc7bd1..298f21bb 100644
--- a/policyengine/outputs/macro/comparison/budget/general.py
+++ b/policyengine/outputs/macro/comparison/budget/general.py
@@ -6,7 +6,9 @@
 from policyengine.outputs.macro.single.gov.balance import calculate_balance
 
 
-def calculate_general_budget_comparison(simulation: Simulation, chart: bool = False):
+def calculate_general_budget_comparison(
+    simulation: Simulation, chart: bool = False
+):
     """Calculate the budgetary impact of the given simulation.
 
     Args:
diff --git a/policyengine/outputs/macro/comparison/budget/window.py b/policyengine/outputs/macro/comparison/budget/window.py
index d9807eea..7f0b0451 100644
--- a/policyengine/outputs/macro/comparison/budget/window.py
+++ b/policyengine/outputs/macro/comparison/budget/window.py
@@ -3,7 +3,9 @@
 import plotly.express as px
 import pandas as pd
 from policyengine.utils.charts import *
-from policyengine.outputs.macro.single.gov.budget_window import calculate_budget_window
+from policyengine.outputs.macro.single.gov.budget_window import (
+    calculate_budget_window,
+)
 
 
 def calculate_budget_window_comparison(
diff --git a/policyengine/outputs/macro/comparison/comparison.py b/policyengine/outputs/macro/comparison/comparison.py
index dc544a99..b7097142 100644
--- a/policyengine/outputs/macro/comparison/comparison.py
+++ b/policyengine/outputs/macro/comparison/comparison.py
@@ -2,10 +2,11 @@
 from .budget import calculate_budget_comparison
 from .decile import calculate_decile_comparison
 
-def calculate_budget_comparison(
+
+def calculate_macro_comparison(
     simulation: Simulation,
-) -> dict:    
+) -> dict:
     return {
         "budget": calculate_budget_comparison(simulation),
-        "decile": calculate_decile_comparison(simulation)
-    }
\ No newline at end of file
+        "decile": calculate_decile_comparison(simulation),
+    }
diff --git a/policyengine/outputs/macro/comparison/decile/decile.py b/policyengine/outputs/macro/comparison/decile/decile.py
index f0478e1c..80e2807c 100644
--- a/policyengine/outputs/macro/comparison/decile/decile.py
+++ b/policyengine/outputs/macro/comparison/decile/decile.py
@@ -2,10 +2,11 @@
 from .income import calculate_income_decile_comparison
 from .wealth import calculate_wealth_decile_comparison
 
+
 def calculate_decile_comparison(
     simulation: Simulation,
-) -> dict:    
+) -> dict:
     return {
         "income": calculate_income_decile_comparison(simulation),
         "wealth": calculate_wealth_decile_comparison(simulation),
-    }
\ No newline at end of file
+    }
diff --git a/policyengine/outputs/macro/single/__init__.py b/policyengine/outputs/macro/single/__init__.py
index 7d688d07..43a4592e 100644
--- a/policyengine/outputs/macro/single/__init__.py
+++ b/policyengine/outputs/macro/single/__init__.py
@@ -1 +1 @@
-from .single import calculate_single_macro_scenario
\ No newline at end of file
+from .single import calculate_single_macro_scenario
diff --git a/policyengine/outputs/macro/single/gov/budget_window.py b/policyengine/outputs/macro/single/gov/budget_window.py
index 8d2f62b1..10a48426 100644
--- a/policyengine/outputs/macro/single/gov/budget_window.py
+++ b/policyengine/outputs/macro/single/gov/budget_window.py
@@ -3,7 +3,9 @@
 DEFAULT_COUNT_YEARS = 1
 
 
-def calculate_budget_window(simulation: Simulation, count_years: int = None) -> dict:
+def calculate_budget_window(
+    simulation: Simulation, count_years: int = None
+) -> dict:
     sim = simulation.selected_sim
     current_year = simulation.time_period
     if count_years is not None:
diff --git a/policyengine/outputs/macro/single/gov/gov.py b/policyengine/outputs/macro/single/gov/gov.py
index 2b466eab..2919aa91 100644
--- a/policyengine/outputs/macro/single/gov/gov.py
+++ b/policyengine/outputs/macro/single/gov/gov.py
@@ -4,12 +4,13 @@
 from .budget_window import calculate_budget_window
 from .programs import calculate_programs
 
+
 def calculate_gov(
     simulation: Simulation,
-) -> dict:    
+) -> dict:
     return {
         "balance": calculate_balance(simulation),
         "budget_window": calculate_budget_window(simulation),
         "programs": calculate_programs(simulation),
         "local_areas": calculate_local_areas(simulation),
-    }
\ No newline at end of file
+    }
diff --git a/policyengine/outputs/macro/single/gov/local_areas/local_areas.py b/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
index 76f60321..f6029408 100644
--- a/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
+++ b/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
@@ -1,6 +1,10 @@
 from policyengine import Simulation
-from policyengine.outputs.macro.single.gov.local_areas.local_authorities import calculate_local_authorities
-from policyengine.outputs.macro.single.gov.local_areas.parliamentary_constituencies import calculate_parliamentary_constituencies
+from policyengine.outputs.macro.single.gov.local_areas.local_authorities import (
+    calculate_local_authorities,
+)
+from policyengine.outputs.macro.single.gov.local_areas.parliamentary_constituencies import (
+    calculate_parliamentary_constituencies,
+)
 
 
 def calculate_local_areas(
@@ -8,8 +12,10 @@ def calculate_local_areas(
 ) -> dict:
     if simulation.country != "uk":
         return None
-    
+
     return {
         "local_authorities": calculate_local_authorities(simulation),
-        "parliamentary_constituencies": calculate_parliamentary_constituencies(simulation)
-    }
\ No newline at end of file
+        "parliamentary_constituencies": calculate_parliamentary_constituencies(
+            simulation
+        ),
+    }
diff --git a/policyengine/outputs/macro/single/household/demographics.py b/policyengine/outputs/macro/single/household/demographics.py
index 48e12e09..4d564e90 100644
--- a/policyengine/outputs/macro/single/household/demographics.py
+++ b/policyengine/outputs/macro/single/household/demographics.py
@@ -1,7 +1,9 @@
 from policyengine import Simulation
 
 
-def calculate_demographics(simulation: Simulation, include_arrays: bool = False) -> dict:
+def calculate_demographics(
+    simulation: Simulation, include_arrays: bool = False
+) -> dict:
     sim = simulation.selected_sim
     household_count_people = (
         sim.calculate("household_count_people").astype(int).tolist()
diff --git a/policyengine/outputs/macro/single/household/finance.py b/policyengine/outputs/macro/single/household/finance.py
index 2ff1fe5a..bc4f826b 100644
--- a/policyengine/outputs/macro/single/household/finance.py
+++ b/policyengine/outputs/macro/single/household/finance.py
@@ -1,7 +1,9 @@
 from policyengine import Simulation
 
 
-def calculate_finance(simulation: Simulation, include_arrays: bool = False) -> dict:
+def calculate_finance(
+    simulation: Simulation, include_arrays: bool = False
+) -> dict:
     sim = simulation.selected_sim
 
     total_net_income = sim.calculate("household_net_income").sum()
diff --git a/policyengine/outputs/macro/single/household/household.py b/policyengine/outputs/macro/single/household/household.py
index 6e858a8c..9872f119 100644
--- a/policyengine/outputs/macro/single/household/household.py
+++ b/policyengine/outputs/macro/single/household/household.py
@@ -5,13 +5,14 @@
 from .inequality import calculate_inequality
 from .labor_supply import calculate_labor_supply
 
+
 def calculate_household(
     simulation: Simulation,
-) -> dict:    
+) -> dict:
     return {
         "demographics": calculate_demographics(simulation),
         "finance": calculate_finance(simulation),
         "income_distribution": calculate_income_distribution(simulation),
         "inequality": calculate_inequality(simulation),
-        "labor_supply": calculate_labor_supply(simulation)
-    }
\ No newline at end of file
+        "labor_supply": calculate_labor_supply(simulation),
+    }
diff --git a/policyengine/outputs/macro/single/household/labor_supply.py b/policyengine/outputs/macro/single/household/labor_supply.py
index da278ce4..e877c726 100644
--- a/policyengine/outputs/macro/single/household/labor_supply.py
+++ b/policyengine/outputs/macro/single/household/labor_supply.py
@@ -1,7 +1,9 @@
 from policyengine import Simulation
 
 
-def calculate_labor_supply(simulation: Simulation, include_arrays: bool = False) -> dict:
+def calculate_labor_supply(
+    simulation: Simulation, include_arrays: bool = False
+) -> dict:
     if not simulation.comparison:
         return {}
     sim = simulation.selected_sim
diff --git a/policyengine/outputs/macro/single/single.py b/policyengine/outputs/macro/single/single.py
index 0d6e9904..ef48da00 100644
--- a/policyengine/outputs/macro/single/single.py
+++ b/policyengine/outputs/macro/single/single.py
@@ -2,10 +2,11 @@
 from .gov import calculate_gov
 from .household import calculate_household
 
+
 def calculate_single_macro_scenario(
     simulation: Simulation,
-) -> dict:    
+) -> dict:
     return {
         "gov": calculate_gov(simulation),
-        "household": calculate_household(simulation)
-    }
\ No newline at end of file
+        "household": calculate_household(simulation),
+    }
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index 73befac2..ef06aba3 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -10,6 +10,9 @@
 from pathlib import Path
 from typing import Literal
 
+from .outputs.macro.single import calculate_single_macro_scenario
+from .outputs.macro.comparison import calculate_macro_comparison
+
 
 class Simulation:
     """The top-level class through which all PE usage is carried out."""
@@ -193,6 +196,7 @@ def _initialise_simulations(self):
             self.reformed_sim.get_branch("baseline").tax_benefit_system = (
                 self.baseline_sim.tax_benefit_system
             )
+            self.selected_sim = self.reformed_sim
         else:
             self.selected_sim = self.baseline_sim
 
@@ -306,3 +310,6 @@ def _apply_region_to_simulation(
         simulation.default_calculation_period = self.time_period
 
         return simulation
+
+    calculate_macro_comparison = calculate_macro_comparison
+    calculate_single_macro_scenario = calculate_single_macro_scenario

From 7c612ccceea59c534f60afe1e36e1654fc23c1db Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 11:51:26 +1100
Subject: [PATCH 06/32] Fix imports for type checking

---
 .../macro/comparison/budget/breakdown.py       | 10 ++++++----
 .../outputs/macro/comparison/budget/budget.py  |  6 ++++--
 .../outputs/macro/comparison/budget/general.py |  8 +++++---
 .../macro/comparison/budget/programs.py        |  6 ++++--
 .../outputs/macro/comparison/budget/window.py  |  6 ++++--
 .../outputs/macro/comparison/comparison.py     |  6 ++++--
 .../outputs/macro/comparison/decile/decile.py  |  6 ++++--
 .../outputs/macro/comparison/decile/income.py  |  6 ++++--
 .../outputs/macro/comparison/decile/wealth.py  |  6 ++++--
 .../outputs/macro/comparison/inequality.py     |  6 ++++--
 .../outputs/macro/comparison/labor_supply.py   |  6 ++++--
 .../local_areas/local_authorities.py           | 13 ++++++-------
 .../parliamentary_constituencies.py            | 18 +++++++++---------
 .../outputs/macro/comparison/poverty/age.py    |  6 ++++--
 .../outputs/macro/comparison/poverty/gender.py |  6 ++++--
 .../outputs/macro/comparison/poverty/race.py   |  6 ++++--
 .../macro/comparison/winners/income_decile.py  |  6 ++++--
 .../macro/comparison/winners/wealth_decile.py  |  6 ++++--
 .../outputs/macro/single/gov/balance.py        |  6 ++++--
 .../outputs/macro/single/gov/budget_window.py  |  6 ++++--
 policyengine/outputs/macro/single/gov/gov.py   |  6 ++++--
 .../single/gov/local_areas/local_areas.py      |  6 ++++--
 .../gov/local_areas/local_authorities.py       |  6 ++++--
 .../parliamentary_constituencies.py            |  6 ++++--
 .../outputs/macro/single/gov/programs.py       |  8 +++++---
 .../macro/single/household/demographics.py     |  6 ++++--
 .../outputs/macro/single/household/finance.py  |  6 ++++--
 .../macro/single/household/household.py        |  6 ++++--
 .../single/household/income_distribution.py    |  6 ++++--
 .../macro/single/household/inequality.py       |  6 ++++--
 .../macro/single/household/labor_supply.py     |  6 ++++--
 policyengine/outputs/macro/single/single.py    |  6 ++++--
 policyengine/utils/budget.py                   |  2 +-
 policyengine/utils/maps.py                     |  1 -
 34 files changed, 140 insertions(+), 82 deletions(-)

diff --git a/policyengine/outputs/macro/comparison/budget/breakdown.py b/policyengine/outputs/macro/comparison/budget/breakdown.py
index cf7fa942..08ef4c5a 100644
--- a/policyengine/outputs/macro/comparison/budget/breakdown.py
+++ b/policyengine/outputs/macro/comparison/budget/breakdown.py
@@ -1,13 +1,15 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from typing import List
 import pandas as pd
 from policyengine.outputs.macro.comparison.budget.general import (
-    calculate_general_budget,
+    calculate_general_budget_comparison,
 )
 
 
 def calculate_provision_breakdown_comparison(
-    simulation: Simulation,
+    simulation: "Simulation",
     provisions: List[dict] | None = None,
     provision_names: List[str] | None = None,
     count_years: int = 5,
@@ -48,7 +50,7 @@ def calculate_provision_breakdown_comparison(
                 options=options,
                 data=simulation.data,
             )
-            budget = calculate_general_budget(sim)["budgetary_impact"]
+            budget = calculate_general_budget_comparison(sim)["budgetary_impact"]
             key_focus = provision_names[i]
             difference = budget - last_budgetary_impact
             last_budgetary_impact = budget
diff --git a/policyengine/outputs/macro/comparison/budget/budget.py b/policyengine/outputs/macro/comparison/budget/budget.py
index f9b5c87f..73782ada 100644
--- a/policyengine/outputs/macro/comparison/budget/budget.py
+++ b/policyengine/outputs/macro/comparison/budget/budget.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from .breakdown import calculate_provision_breakdown_comparison
 from .general import calculate_general_budget_comparison
 from .window import calculate_budget_window_comparison
@@ -6,7 +8,7 @@
 
 
 def calculate_budget_comparison(
-    simulation: Simulation,
+    simulation: "Simulation",
 ) -> dict:
     return {
         "breakdown": calculate_provision_breakdown_comparison(simulation),
diff --git a/policyengine/outputs/macro/comparison/budget/general.py b/policyengine/outputs/macro/comparison/budget/general.py
index 298f21bb..d0131c9b 100644
--- a/policyengine/outputs/macro/comparison/budget/general.py
+++ b/policyengine/outputs/macro/comparison/budget/general.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 import plotly.graph_objects as go
 import plotly.express as px
 import pandas as pd
@@ -7,7 +9,7 @@
 
 
 def calculate_general_budget_comparison(
-    simulation: Simulation, chart: bool = False
+    simulation: "Simulation", chart: bool = False
 ):
     """Calculate the budgetary impact of the given simulation.
 
@@ -57,7 +59,7 @@ def calculate_general_budget_comparison(
         return result
 
 
-def budget_chart(simulation: Simulation, data: dict) -> go.Figure:
+def budget_chart(simulation: "Simulation", data: dict) -> go.Figure:
     if simulation.country == "uk":
         x = ["Tax revenues", "Benefit spending", "Budgetary impact"]
         y = [
diff --git a/policyengine/outputs/macro/comparison/budget/programs.py b/policyengine/outputs/macro/comparison/budget/programs.py
index a7941602..8f714631 100644
--- a/policyengine/outputs/macro/comparison/budget/programs.py
+++ b/policyengine/outputs/macro/comparison/budget/programs.py
@@ -1,8 +1,10 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from policyengine.outputs.macro.single import calculate_single_macro_scenario
 
 
-def calculate_program_comparison(simulation: Simulation):
+def calculate_program_comparison(simulation: "Simulation"):
     """Calculate the detailed budgetary impact of the given simulation.
 
     Args:
diff --git a/policyengine/outputs/macro/comparison/budget/window.py b/policyengine/outputs/macro/comparison/budget/window.py
index 7f0b0451..d8af1b18 100644
--- a/policyengine/outputs/macro/comparison/budget/window.py
+++ b/policyengine/outputs/macro/comparison/budget/window.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 import plotly.graph_objects as go
 import plotly.express as px
 import pandas as pd
@@ -9,7 +11,7 @@
 
 
 def calculate_budget_window_comparison(
-    simulation: Simulation,
+    simulation: "Simulation",
     chart: bool = False,
     federal_only: bool = False,
     count_years: int = 1,
diff --git a/policyengine/outputs/macro/comparison/comparison.py b/policyengine/outputs/macro/comparison/comparison.py
index b7097142..cc81bc9b 100644
--- a/policyengine/outputs/macro/comparison/comparison.py
+++ b/policyengine/outputs/macro/comparison/comparison.py
@@ -1,10 +1,12 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from .budget import calculate_budget_comparison
 from .decile import calculate_decile_comparison
 
 
 def calculate_macro_comparison(
-    simulation: Simulation,
+    simulation: "Simulation",
 ) -> dict:
     return {
         "budget": calculate_budget_comparison(simulation),
diff --git a/policyengine/outputs/macro/comparison/decile/decile.py b/policyengine/outputs/macro/comparison/decile/decile.py
index 80e2807c..773f0722 100644
--- a/policyengine/outputs/macro/comparison/decile/decile.py
+++ b/policyengine/outputs/macro/comparison/decile/decile.py
@@ -1,10 +1,12 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from .income import calculate_income_decile_comparison
 from .wealth import calculate_wealth_decile_comparison
 
 
 def calculate_decile_comparison(
-    simulation: Simulation,
+    simulation: "Simulation",
 ) -> dict:
     return {
         "income": calculate_income_decile_comparison(simulation),
diff --git a/policyengine/outputs/macro/comparison/decile/income.py b/policyengine/outputs/macro/comparison/decile/income.py
index bb265049..fdb5c3d5 100644
--- a/policyengine/outputs/macro/comparison/decile/income.py
+++ b/policyengine/outputs/macro/comparison/decile/income.py
@@ -1,9 +1,11 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from microdf import MicroSeries
 from ...single import calculate_single_macro_scenario
 
 
-def calculate_income_decile_comparison(simulation: Simulation):
+def calculate_income_decile_comparison(simulation: "Simulation"):
     """Calculate the impact of the reform on income deciles.
 
     Args:
diff --git a/policyengine/outputs/macro/comparison/decile/wealth.py b/policyengine/outputs/macro/comparison/decile/wealth.py
index 5c412e0d..383d4223 100644
--- a/policyengine/outputs/macro/comparison/decile/wealth.py
+++ b/policyengine/outputs/macro/comparison/decile/wealth.py
@@ -1,9 +1,11 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from microdf import MicroSeries
 from ...single import calculate_single_macro_scenario
 
 
-def calculate_wealth_decile_comparison(simulation: Simulation):
+def calculate_wealth_decile_comparison(simulation: "Simulation"):
     """Calculate the impact of the reform on wealth deciles.
 
     Args:
diff --git a/policyengine/outputs/macro/comparison/inequality.py b/policyengine/outputs/macro/comparison/inequality.py
index 6e624246..22b78fb6 100644
--- a/policyengine/outputs/macro/comparison/inequality.py
+++ b/policyengine/outputs/macro/comparison/inequality.py
@@ -1,7 +1,9 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 
 
-def inequality(simulation: Simulation):
+def inequality(simulation: "Simulation"):
     """Calculate the impact of the reform on inequality.
 
     Args:
diff --git a/policyengine/outputs/macro/comparison/labor_supply.py b/policyengine/outputs/macro/comparison/labor_supply.py
index 587c3af2..9203d12e 100644
--- a/policyengine/outputs/macro/comparison/labor_supply.py
+++ b/policyengine/outputs/macro/comparison/labor_supply.py
@@ -1,9 +1,11 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from microdf import MicroSeries
 import numpy as np
 
 
-def labor_supply(simulation: Simulation) -> dict:
+def labor_supply(simulation: "Simulation") -> dict:
     baseline_labor_supply = simulation.calculate(
         "macro/baseline/household/labor_supply", include_arrays=True
     )
diff --git a/policyengine/outputs/macro/comparison/local_areas/local_authorities.py b/policyengine/outputs/macro/comparison/local_areas/local_authorities.py
index 8834ad26..0953e593 100644
--- a/policyengine/outputs/macro/comparison/local_areas/local_authorities.py
+++ b/policyengine/outputs/macro/comparison/local_areas/local_authorities.py
@@ -7,10 +7,11 @@
 from typing import Callable
 from policyengine_core import Microsimulation
 from microdf import MicroSeries
+from ...single.gov.local_areas.local_authorities import calculate_local_authorities
 
 
 def local_authorities(
-    simulation: Simulation,
+    simulation: "Simulation",
     chart: bool = False,
     metric: Callable[[Microsimulation], MicroSeries] = None,
     comparator: bool = None,
@@ -25,12 +26,10 @@ def local_authorities(
     if comparator is None:
         comparator = lambda x, y: (y / x) - 1
 
-    constituency_baseline = simulation.calculate(
-        "macro/baseline/gov/local_areas/local_authorities", **kwargs
-    )
-    constituency_reform = simulation.calculate(
-        "macro/reform/gov/local_areas/local_authorities", **kwargs
-    )
+    simulation.selected_sim = simulation.baseline_sim
+    constituency_baseline = calculate_local_authorities(simulation, **kwargs)
+    simulation.selected_sim = simulation.reformed_sim
+    constituency_reform = calculate_local_authorities(simulation, **kwargs)
 
     result = {}
 
diff --git a/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py b/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py
index 6a352860..f94de67f 100644
--- a/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py
+++ b/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 import pandas as pd
 from policyengine.utils.huggingface import download
 import plotly.express as px
@@ -7,10 +9,11 @@
 from typing import Callable
 from policyengine_core import Microsimulation
 from microdf import MicroSeries
+from ...single.gov.local_areas.parliamentary_constituencies import calculate_parliamentary_constituencies
 
 
 def parliamentary_constituencies(
-    simulation: Simulation,
+    simulation: "Simulation",
     chart: bool = False,
     metric: Callable[[Microsimulation], MicroSeries] = None,
     comparator: bool = None,
@@ -24,13 +27,10 @@ def parliamentary_constituencies(
 
     if comparator is None:
         comparator = lambda x, y: (y / x) - 1
-
-    constituency_baseline = simulation.calculate(
-        "macro/baseline/gov/local_areas/parliamentary_constituencies", **kwargs
-    )
-    constituency_reform = simulation.calculate(
-        "macro/reform/gov/local_areas/parliamentary_constituencies", **kwargs
-    )
+    simulation.selected_sim = simulation.baseline_sim
+    constituency_baseline = calculate_parliamentary_constituencies(simulation, **kwargs)
+    simulation.selected_sim = simulation.reformed_sim
+    constituency_reform = calculate_parliamentary_constituencies(simulation, **kwargs)
 
     result = {}
 
diff --git a/policyengine/outputs/macro/comparison/poverty/age.py b/policyengine/outputs/macro/comparison/poverty/age.py
index 262067a2..2bea0408 100644
--- a/policyengine/outputs/macro/comparison/poverty/age.py
+++ b/policyengine/outputs/macro/comparison/poverty/age.py
@@ -1,8 +1,10 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from microdf import MicroSeries
 
 
-def age(simulation: Simulation):
+def age(simulation: "Simulation"):
     """Calculate the impact of the reform on poverty by age.
 
     Args:
diff --git a/policyengine/outputs/macro/comparison/poverty/gender.py b/policyengine/outputs/macro/comparison/poverty/gender.py
index 482d4302..0d42f029 100644
--- a/policyengine/outputs/macro/comparison/poverty/gender.py
+++ b/policyengine/outputs/macro/comparison/poverty/gender.py
@@ -1,8 +1,10 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from microdf import MicroSeries
 
 
-def gender(simulation: Simulation):
+def gender(simulation: "Simulation"):
     """Calculate the impact of the reform on poverty by gender.
 
     Args:
diff --git a/policyengine/outputs/macro/comparison/poverty/race.py b/policyengine/outputs/macro/comparison/poverty/race.py
index bf897fc5..53c788c3 100644
--- a/policyengine/outputs/macro/comparison/poverty/race.py
+++ b/policyengine/outputs/macro/comparison/poverty/race.py
@@ -1,8 +1,10 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from microdf import MicroSeries
 
 
-def race(simulation: Simulation):
+def race(simulation: "Simulation"):
     """Calculate the impact of the reform on poverty by race.
 
     Args:
diff --git a/policyengine/outputs/macro/comparison/winners/income_decile.py b/policyengine/outputs/macro/comparison/winners/income_decile.py
index 8de5bc3d..6aa29d88 100644
--- a/policyengine/outputs/macro/comparison/winners/income_decile.py
+++ b/policyengine/outputs/macro/comparison/winners/income_decile.py
@@ -1,9 +1,11 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from microdf import MicroSeries
 import numpy as np
 
 
-def income_decile(simulation: Simulation):
+def income_decile(simulation: "Simulation"):
     """Calculate the impact of the reform on income deciles.
 
     Args:
diff --git a/policyengine/outputs/macro/comparison/winners/wealth_decile.py b/policyengine/outputs/macro/comparison/winners/wealth_decile.py
index 0eafed0f..1569a4db 100644
--- a/policyengine/outputs/macro/comparison/winners/wealth_decile.py
+++ b/policyengine/outputs/macro/comparison/winners/wealth_decile.py
@@ -1,9 +1,11 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from microdf import MicroSeries
 import numpy as np
 
 
-def wealth_decile(simulation: Simulation):
+def wealth_decile(simulation: "Simulation"):
     """Calculate the impact of the reform on wealth deciles.
 
     Args:
diff --git a/policyengine/outputs/macro/single/gov/balance.py b/policyengine/outputs/macro/single/gov/balance.py
index fb276ff6..39b926ab 100644
--- a/policyengine/outputs/macro/single/gov/balance.py
+++ b/policyengine/outputs/macro/single/gov/balance.py
@@ -1,7 +1,9 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 
 
-def calculate_balance(simulation: Simulation) -> dict:
+def calculate_balance(simulation: "Simulation") -> dict:
     sim = simulation.selected_sim
     if simulation.country == "uk":
         total_tax = sim.calculate("gov_tax").sum()
diff --git a/policyengine/outputs/macro/single/gov/budget_window.py b/policyengine/outputs/macro/single/gov/budget_window.py
index 10a48426..eea207cc 100644
--- a/policyengine/outputs/macro/single/gov/budget_window.py
+++ b/policyengine/outputs/macro/single/gov/budget_window.py
@@ -1,10 +1,12 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 
 DEFAULT_COUNT_YEARS = 1
 
 
 def calculate_budget_window(
-    simulation: Simulation, count_years: int = None
+    simulation: "Simulation", count_years: int = None
 ) -> dict:
     sim = simulation.selected_sim
     current_year = simulation.time_period
diff --git a/policyengine/outputs/macro/single/gov/gov.py b/policyengine/outputs/macro/single/gov/gov.py
index 2919aa91..6dfaec81 100644
--- a/policyengine/outputs/macro/single/gov/gov.py
+++ b/policyengine/outputs/macro/single/gov/gov.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from .local_areas import calculate_local_areas
 from .balance import calculate_balance
 from .budget_window import calculate_budget_window
@@ -6,7 +8,7 @@
 
 
 def calculate_gov(
-    simulation: Simulation,
+    simulation: "Simulation",
 ) -> dict:
     return {
         "balance": calculate_balance(simulation),
diff --git a/policyengine/outputs/macro/single/gov/local_areas/local_areas.py b/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
index f6029408..10d7a2b7 100644
--- a/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
+++ b/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from policyengine.outputs.macro.single.gov.local_areas.local_authorities import (
     calculate_local_authorities,
 )
@@ -8,7 +10,7 @@
 
 
 def calculate_local_areas(
-    simulation: Simulation,
+    simulation: "Simulation",
 ) -> dict:
     if simulation.country != "uk":
         return None
diff --git a/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py b/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
index ed364609..0c3a3e35 100644
--- a/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
+++ b/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from policyengine.utils.huggingface import download
 import h5py
 from microdf import MicroSeries
@@ -9,7 +11,7 @@
 
 
 def calculate_local_authorities(
-    simulation: Simulation,
+    simulation,
     metric: Callable[[Microsimulation], MicroSeries] = None,
     chart: bool = False,
     code_index: bool = False,
diff --git a/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py b/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
index e0260dc7..a15436db 100644
--- a/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
+++ b/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from policyengine.utils.huggingface import download
 import h5py
 from microdf import MicroSeries
@@ -9,7 +11,7 @@
 
 
 def calculate_parliamentary_constituencies(
-    simulation: Simulation,
+    simulation: "Simulation",
     metric: Callable[[Microsimulation], MicroSeries] = None,
     chart: bool = False,
     code_index: bool = False,
diff --git a/policyengine/outputs/macro/single/gov/programs.py b/policyengine/outputs/macro/single/gov/programs.py
index dc211ab2..2dcbf86b 100644
--- a/policyengine/outputs/macro/single/gov/programs.py
+++ b/policyengine/outputs/macro/single/gov/programs.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from dataclasses import dataclass
 
 
@@ -24,10 +26,10 @@ class UKPrograms:
     ]
 
 
-def calculate_programs(simulation: Simulation) -> dict:
+def calculate_programs(simulation: "Simulation") -> dict:
     if simulation.country == "uk":
         return {
-            program.name: simulation.selected_sim.calculate(
+            program.name: "Simulation".selected_sim.calculate(
                 program.name, map_to="household"
             ).sum()
             * (1 if program.is_positive else -1)
diff --git a/policyengine/outputs/macro/single/household/demographics.py b/policyengine/outputs/macro/single/household/demographics.py
index 4d564e90..e63862cd 100644
--- a/policyengine/outputs/macro/single/household/demographics.py
+++ b/policyengine/outputs/macro/single/household/demographics.py
@@ -1,8 +1,10 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 
 
 def calculate_demographics(
-    simulation: Simulation, include_arrays: bool = False
+    simulation: "Simulation", include_arrays: bool = False
 ) -> dict:
     sim = simulation.selected_sim
     household_count_people = (
diff --git a/policyengine/outputs/macro/single/household/finance.py b/policyengine/outputs/macro/single/household/finance.py
index bc4f826b..e20cb67f 100644
--- a/policyengine/outputs/macro/single/household/finance.py
+++ b/policyengine/outputs/macro/single/household/finance.py
@@ -1,8 +1,10 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 
 
 def calculate_finance(
-    simulation: Simulation, include_arrays: bool = False
+    simulation: "Simulation", include_arrays: bool = False
 ) -> dict:
     sim = simulation.selected_sim
 
diff --git a/policyengine/outputs/macro/single/household/household.py b/policyengine/outputs/macro/single/household/household.py
index 9872f119..ed064690 100644
--- a/policyengine/outputs/macro/single/household/household.py
+++ b/policyengine/outputs/macro/single/household/household.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from .demographics import calculate_demographics
 from .finance import calculate_finance
 from .income_distribution import calculate_income_distribution
@@ -7,7 +9,7 @@
 
 
 def calculate_household(
-    simulation: Simulation,
+    simulation: "Simulation",
 ) -> dict:
     return {
         "demographics": calculate_demographics(simulation),
diff --git a/policyengine/outputs/macro/single/household/income_distribution.py b/policyengine/outputs/macro/single/household/income_distribution.py
index 39c92e80..0a270b43 100644
--- a/policyengine/outputs/macro/single/household/income_distribution.py
+++ b/policyengine/outputs/macro/single/household/income_distribution.py
@@ -1,4 +1,6 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 import plotly.express as px
 from policyengine.utils.charts import *
 import plotly.graph_objects as go
@@ -6,7 +8,7 @@
 
 
 def calculate_income_distribution(
-    simulation: Simulation,
+    simulation: "Simulation",
     chart: bool = False,
     variable: str = "household_net_income",
 ) -> dict:
diff --git a/policyengine/outputs/macro/single/household/inequality.py b/policyengine/outputs/macro/single/household/inequality.py
index 0da4f8f0..412abdff 100644
--- a/policyengine/outputs/macro/single/household/inequality.py
+++ b/policyengine/outputs/macro/single/household/inequality.py
@@ -1,7 +1,9 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 
 
-def calculate_inequality(simulation: Simulation) -> dict:
+def calculate_inequality(simulation: "Simulation") -> dict:
     personal_hh_equiv_income = simulation.selected_sim.calculate(
         "equiv_household_net_income"
     )
diff --git a/policyengine/outputs/macro/single/household/labor_supply.py b/policyengine/outputs/macro/single/household/labor_supply.py
index e877c726..28dd315e 100644
--- a/policyengine/outputs/macro/single/household/labor_supply.py
+++ b/policyengine/outputs/macro/single/household/labor_supply.py
@@ -1,8 +1,10 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 
 
 def calculate_labor_supply(
-    simulation: Simulation, include_arrays: bool = False
+    simulation: "Simulation", include_arrays: bool = False
 ) -> dict:
     if not simulation.comparison:
         return {}
diff --git a/policyengine/outputs/macro/single/single.py b/policyengine/outputs/macro/single/single.py
index ef48da00..7bfc8f64 100644
--- a/policyengine/outputs/macro/single/single.py
+++ b/policyengine/outputs/macro/single/single.py
@@ -1,10 +1,12 @@
-from policyengine import Simulation
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
 from .gov import calculate_gov
 from .household import calculate_household
 
 
 def calculate_single_macro_scenario(
-    simulation: Simulation,
+    simulation: "Simulation",
 ) -> dict:
     return {
         "gov": calculate_gov(simulation),
diff --git a/policyengine/utils/budget.py b/policyengine/utils/budget.py
index 57597448..3a303468 100644
--- a/policyengine/utils/budget.py
+++ b/policyengine/utils/budget.py
@@ -1,5 +1,4 @@
 import pandas as pd
-from policyengine import Simulation
 
 
 def budget_breakdown(
@@ -23,6 +22,7 @@ def budget_breakdown(
     Returns:
         pd.DataFrame: A DataFrame containing the budgetary impact of the reform by provision.
     """
+    from policyengine import Simulation
     subreform_items = []
     year_items = []
     budget_items = []
diff --git a/policyengine/utils/maps.py b/policyengine/utils/maps.py
index 562767d5..ad148a25 100644
--- a/policyengine/utils/maps.py
+++ b/policyengine/utils/maps.py
@@ -1,6 +1,5 @@
 import pandas as pd
 import plotly.express as px
-from policyengine import Simulation
 import pandas as pd
 from policyengine.utils.huggingface import download
 import plotly.express as px

From 1162315b06588731f40ee6793e0ab260373e2cab Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 11:57:36 +1100
Subject: [PATCH 07/32] Update bug fix

---
 policyengine/outputs/macro/single/gov/programs.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/policyengine/outputs/macro/single/gov/programs.py b/policyengine/outputs/macro/single/gov/programs.py
index 2dcbf86b..13d5f318 100644
--- a/policyengine/outputs/macro/single/gov/programs.py
+++ b/policyengine/outputs/macro/single/gov/programs.py
@@ -29,7 +29,7 @@ class UKPrograms:
 def calculate_programs(simulation: "Simulation") -> dict:
     if simulation.country == "uk":
         return {
-            program.name: "Simulation".selected_sim.calculate(
+            program.name: simulation.selected_sim.calculate(
                 program.name, map_to="household"
             ).sum()
             * (1 if program.is_positive else -1)

From 97f72b8967b0936bbdd227538eaacf80092f9369 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 12:04:13 +1100
Subject: [PATCH 08/32] Update actions

---
 .../{pull_request.yaml => code_changes.yaml}    | 10 +++++-----
 docs/index.ipynb                                | 17 +++++++++--------
 policyengine/simulation.py                      |  3 +++
 3 files changed, 17 insertions(+), 13 deletions(-)
 rename .github/workflows/{pull_request.yaml => code_changes.yaml} (88%)

diff --git a/.github/workflows/pull_request.yaml b/.github/workflows/code_changes.yaml
similarity index 88%
rename from .github/workflows/pull_request.yaml
rename to .github/workflows/code_changes.yaml
index 880ebfeb..8a540a4d 100644
--- a/.github/workflows/pull_request.yaml
+++ b/.github/workflows/code_changes.yaml
@@ -3,12 +3,12 @@
 name: Code changes
 on:
     pull_request:
-        branches:
-            - main
+      branches:
+          - main
 
-        paths:
-            - policyengine/
-            - tests/
+      paths:
+          - policyengine/**
+          - tests/**
 
 jobs:
     Lint:
diff --git a/docs/index.ipynb b/docs/index.ipynb
index e350d676..7ad6373a 100644
--- a/docs/index.ipynb
+++ b/docs/index.ipynb
@@ -31,14 +31,15 @@
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "-2514.0"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "AttributeError",
+     "evalue": "'Simulation' object has no attribute 'calculate_macro_comparison'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 18\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpolicyengine\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Simulation\n\u001b[1;32m      3\u001b[0m sim \u001b[38;5;241m=\u001b[39m Simulation(\n\u001b[1;32m      4\u001b[0m     country\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muk\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m      5\u001b[0m     scope\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhousehold\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     16\u001b[0m     }\n\u001b[1;32m     17\u001b[0m )\n\u001b[0;32m---> 18\u001b[0m \u001b[43msim\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcalculate_macro_comparison\u001b[49m()\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'Simulation' object has no attribute 'calculate_macro_comparison'"
+     ]
     }
    ],
    "source": [
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index ef06aba3..548064af 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -313,3 +313,6 @@ def _apply_region_to_simulation(
 
     calculate_macro_comparison = calculate_macro_comparison
     calculate_single_macro_scenario = calculate_single_macro_scenario
+
+    def calculate_macro(self):
+        return calculate_single_macro_scenario(self)

From b82c817a0389ec7d2760b0e73c00f5e23490ee7b Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 14:29:14 +1100
Subject: [PATCH 09/32] Update actions

---
 .github/workflows/code_changes.yaml | 58 ++++++++++++++---------------
 1 file changed, 29 insertions(+), 29 deletions(-)

diff --git a/.github/workflows/code_changes.yaml b/.github/workflows/code_changes.yaml
index 8a540a4d..cd4b45a0 100644
--- a/.github/workflows/code_changes.yaml
+++ b/.github/workflows/code_changes.yaml
@@ -2,36 +2,36 @@
 
 name: Code changes
 on:
-    pull_request:
-      branches:
-          - main
+  pull_request:
+    branches:
+      - main
 
-      paths:
-          - policyengine/**
-          - tests/**
+    paths:
+      - policyengine/**
+      - tests/**
 
 jobs:
-    Lint:
-        runs-on: ubuntu-latest
-        steps:
-            - uses: actions/checkout@v4
-            - name: Check formatting
-              uses: "lgeiger/black-action@master"
-              with:
-                  args: ". -l 79 --check"
-    Test:
-        runs-on: ubuntu-latest
-        steps:
-            - name: Checkout repo
-              uses: actions/checkout@v2
+  Lint:
+      runs-on: ubuntu-latest
+      steps:
+          - uses: actions/checkout@v4
+          - name: Check formatting
+            uses: "lgeiger/black-action@master"
+            with:
+                args: ". -l 79 --check"
+  Test:
+      runs-on: ubuntu-latest
+      steps:
+          - name: Checkout repo
+            uses: actions/checkout@v2
 
-            - name: Set up Python
-              uses: actions/setup-python@v2
-              with:
-                  python-version: '3.10'
-                
-            - name: Install package
-              run: make install
-            
-            - name: Run tests
-              run: make test
\ No newline at end of file
+          - name: Set up Python
+            uses: actions/setup-python@v2
+            with:
+                python-version: '3.10'
+              
+          - name: Install package
+            run: make install
+          
+          - name: Run tests
+            run: make test
\ No newline at end of file

From efecd9eab6b52fe55e03ee52ecd3af246c93405e Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 14:29:55 +1100
Subject: [PATCH 10/32] Format

---
 .../outputs/macro/comparison/budget/breakdown.py    |  5 ++++-
 .../outputs/macro/comparison/budget/budget.py       |  1 +
 .../outputs/macro/comparison/budget/general.py      |  1 +
 .../outputs/macro/comparison/budget/programs.py     |  1 +
 .../outputs/macro/comparison/budget/window.py       |  1 +
 policyengine/outputs/macro/comparison/comparison.py |  1 +
 .../outputs/macro/comparison/decile/decile.py       |  1 +
 .../outputs/macro/comparison/decile/income.py       |  1 +
 .../outputs/macro/comparison/decile/wealth.py       |  1 +
 policyengine/outputs/macro/comparison/inequality.py |  1 +
 .../outputs/macro/comparison/labor_supply.py        |  1 +
 .../comparison/local_areas/local_authorities.py     |  4 +++-
 .../local_areas/parliamentary_constituencies.py     | 13 ++++++++++---
 .../outputs/macro/comparison/poverty/age.py         |  1 +
 .../outputs/macro/comparison/poverty/gender.py      |  1 +
 .../outputs/macro/comparison/poverty/race.py        |  1 +
 .../macro/comparison/winners/income_decile.py       |  1 +
 .../macro/comparison/winners/wealth_decile.py       |  1 +
 policyengine/outputs/macro/single/gov/balance.py    |  1 +
 .../outputs/macro/single/gov/budget_window.py       |  1 +
 policyengine/outputs/macro/single/gov/gov.py        |  1 +
 .../macro/single/gov/local_areas/local_areas.py     |  1 +
 .../single/gov/local_areas/local_authorities.py     |  1 +
 .../gov/local_areas/parliamentary_constituencies.py |  1 +
 policyengine/outputs/macro/single/gov/programs.py   |  1 +
 .../outputs/macro/single/household/demographics.py  |  1 +
 .../outputs/macro/single/household/finance.py       |  1 +
 .../outputs/macro/single/household/household.py     |  1 +
 .../macro/single/household/income_distribution.py   |  1 +
 .../outputs/macro/single/household/inequality.py    |  1 +
 .../outputs/macro/single/household/labor_supply.py  |  1 +
 policyengine/outputs/macro/single/single.py         |  1 +
 policyengine/utils/budget.py                        |  1 +
 33 files changed, 47 insertions(+), 5 deletions(-)

diff --git a/policyengine/outputs/macro/comparison/budget/breakdown.py b/policyengine/outputs/macro/comparison/budget/breakdown.py
index 08ef4c5a..13ce3fe2 100644
--- a/policyengine/outputs/macro/comparison/budget/breakdown.py
+++ b/policyengine/outputs/macro/comparison/budget/breakdown.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from typing import List
@@ -50,7 +51,9 @@ def calculate_provision_breakdown_comparison(
                 options=options,
                 data=simulation.data,
             )
-            budget = calculate_general_budget_comparison(sim)["budgetary_impact"]
+            budget = calculate_general_budget_comparison(sim)[
+                "budgetary_impact"
+            ]
             key_focus = provision_names[i]
             difference = budget - last_budgetary_impact
             last_budgetary_impact = budget
diff --git a/policyengine/outputs/macro/comparison/budget/budget.py b/policyengine/outputs/macro/comparison/budget/budget.py
index 73782ada..f1c92ed1 100644
--- a/policyengine/outputs/macro/comparison/budget/budget.py
+++ b/policyengine/outputs/macro/comparison/budget/budget.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from .breakdown import calculate_provision_breakdown_comparison
diff --git a/policyengine/outputs/macro/comparison/budget/general.py b/policyengine/outputs/macro/comparison/budget/general.py
index d0131c9b..7994e432 100644
--- a/policyengine/outputs/macro/comparison/budget/general.py
+++ b/policyengine/outputs/macro/comparison/budget/general.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 import plotly.graph_objects as go
diff --git a/policyengine/outputs/macro/comparison/budget/programs.py b/policyengine/outputs/macro/comparison/budget/programs.py
index 8f714631..5d2c8d5f 100644
--- a/policyengine/outputs/macro/comparison/budget/programs.py
+++ b/policyengine/outputs/macro/comparison/budget/programs.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from policyengine.outputs.macro.single import calculate_single_macro_scenario
diff --git a/policyengine/outputs/macro/comparison/budget/window.py b/policyengine/outputs/macro/comparison/budget/window.py
index d8af1b18..80d7968c 100644
--- a/policyengine/outputs/macro/comparison/budget/window.py
+++ b/policyengine/outputs/macro/comparison/budget/window.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 import plotly.graph_objects as go
diff --git a/policyengine/outputs/macro/comparison/comparison.py b/policyengine/outputs/macro/comparison/comparison.py
index cc81bc9b..b99c930c 100644
--- a/policyengine/outputs/macro/comparison/comparison.py
+++ b/policyengine/outputs/macro/comparison/comparison.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from .budget import calculate_budget_comparison
diff --git a/policyengine/outputs/macro/comparison/decile/decile.py b/policyengine/outputs/macro/comparison/decile/decile.py
index 773f0722..95cebcb8 100644
--- a/policyengine/outputs/macro/comparison/decile/decile.py
+++ b/policyengine/outputs/macro/comparison/decile/decile.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from .income import calculate_income_decile_comparison
diff --git a/policyengine/outputs/macro/comparison/decile/income.py b/policyengine/outputs/macro/comparison/decile/income.py
index fdb5c3d5..d3824ea1 100644
--- a/policyengine/outputs/macro/comparison/decile/income.py
+++ b/policyengine/outputs/macro/comparison/decile/income.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from microdf import MicroSeries
diff --git a/policyengine/outputs/macro/comparison/decile/wealth.py b/policyengine/outputs/macro/comparison/decile/wealth.py
index 383d4223..d9c94266 100644
--- a/policyengine/outputs/macro/comparison/decile/wealth.py
+++ b/policyengine/outputs/macro/comparison/decile/wealth.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from microdf import MicroSeries
diff --git a/policyengine/outputs/macro/comparison/inequality.py b/policyengine/outputs/macro/comparison/inequality.py
index 22b78fb6..a509381b 100644
--- a/policyengine/outputs/macro/comparison/inequality.py
+++ b/policyengine/outputs/macro/comparison/inequality.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 
diff --git a/policyengine/outputs/macro/comparison/labor_supply.py b/policyengine/outputs/macro/comparison/labor_supply.py
index 9203d12e..257272e8 100644
--- a/policyengine/outputs/macro/comparison/labor_supply.py
+++ b/policyengine/outputs/macro/comparison/labor_supply.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from microdf import MicroSeries
diff --git a/policyengine/outputs/macro/comparison/local_areas/local_authorities.py b/policyengine/outputs/macro/comparison/local_areas/local_authorities.py
index 0953e593..d578b667 100644
--- a/policyengine/outputs/macro/comparison/local_areas/local_authorities.py
+++ b/policyengine/outputs/macro/comparison/local_areas/local_authorities.py
@@ -7,7 +7,9 @@
 from typing import Callable
 from policyengine_core import Microsimulation
 from microdf import MicroSeries
-from ...single.gov.local_areas.local_authorities import calculate_local_authorities
+from ...single.gov.local_areas.local_authorities import (
+    calculate_local_authorities,
+)
 
 
 def local_authorities(
diff --git a/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py b/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py
index f94de67f..0fd99a95 100644
--- a/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py
+++ b/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 import pandas as pd
@@ -9,7 +10,9 @@
 from typing import Callable
 from policyengine_core import Microsimulation
 from microdf import MicroSeries
-from ...single.gov.local_areas.parliamentary_constituencies import calculate_parliamentary_constituencies
+from ...single.gov.local_areas.parliamentary_constituencies import (
+    calculate_parliamentary_constituencies,
+)
 
 
 def parliamentary_constituencies(
@@ -28,9 +31,13 @@ def parliamentary_constituencies(
     if comparator is None:
         comparator = lambda x, y: (y / x) - 1
     simulation.selected_sim = simulation.baseline_sim
-    constituency_baseline = calculate_parliamentary_constituencies(simulation, **kwargs)
+    constituency_baseline = calculate_parliamentary_constituencies(
+        simulation, **kwargs
+    )
     simulation.selected_sim = simulation.reformed_sim
-    constituency_reform = calculate_parliamentary_constituencies(simulation, **kwargs)
+    constituency_reform = calculate_parliamentary_constituencies(
+        simulation, **kwargs
+    )
 
     result = {}
 
diff --git a/policyengine/outputs/macro/comparison/poverty/age.py b/policyengine/outputs/macro/comparison/poverty/age.py
index 2bea0408..9a187060 100644
--- a/policyengine/outputs/macro/comparison/poverty/age.py
+++ b/policyengine/outputs/macro/comparison/poverty/age.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from microdf import MicroSeries
diff --git a/policyengine/outputs/macro/comparison/poverty/gender.py b/policyengine/outputs/macro/comparison/poverty/gender.py
index 0d42f029..ac1d0bc2 100644
--- a/policyengine/outputs/macro/comparison/poverty/gender.py
+++ b/policyengine/outputs/macro/comparison/poverty/gender.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from microdf import MicroSeries
diff --git a/policyengine/outputs/macro/comparison/poverty/race.py b/policyengine/outputs/macro/comparison/poverty/race.py
index 53c788c3..c7181010 100644
--- a/policyengine/outputs/macro/comparison/poverty/race.py
+++ b/policyengine/outputs/macro/comparison/poverty/race.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from microdf import MicroSeries
diff --git a/policyengine/outputs/macro/comparison/winners/income_decile.py b/policyengine/outputs/macro/comparison/winners/income_decile.py
index 6aa29d88..bd492691 100644
--- a/policyengine/outputs/macro/comparison/winners/income_decile.py
+++ b/policyengine/outputs/macro/comparison/winners/income_decile.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from microdf import MicroSeries
diff --git a/policyengine/outputs/macro/comparison/winners/wealth_decile.py b/policyengine/outputs/macro/comparison/winners/wealth_decile.py
index 1569a4db..900d7b60 100644
--- a/policyengine/outputs/macro/comparison/winners/wealth_decile.py
+++ b/policyengine/outputs/macro/comparison/winners/wealth_decile.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from microdf import MicroSeries
diff --git a/policyengine/outputs/macro/single/gov/balance.py b/policyengine/outputs/macro/single/gov/balance.py
index 39b926ab..f59246ad 100644
--- a/policyengine/outputs/macro/single/gov/balance.py
+++ b/policyengine/outputs/macro/single/gov/balance.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 
diff --git a/policyengine/outputs/macro/single/gov/budget_window.py b/policyengine/outputs/macro/single/gov/budget_window.py
index eea207cc..d1871f8a 100644
--- a/policyengine/outputs/macro/single/gov/budget_window.py
+++ b/policyengine/outputs/macro/single/gov/budget_window.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 
diff --git a/policyengine/outputs/macro/single/gov/gov.py b/policyengine/outputs/macro/single/gov/gov.py
index 6dfaec81..492dd964 100644
--- a/policyengine/outputs/macro/single/gov/gov.py
+++ b/policyengine/outputs/macro/single/gov/gov.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from .local_areas import calculate_local_areas
diff --git a/policyengine/outputs/macro/single/gov/local_areas/local_areas.py b/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
index 10d7a2b7..2c29d394 100644
--- a/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
+++ b/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from policyengine.outputs.macro.single.gov.local_areas.local_authorities import (
diff --git a/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py b/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
index 0c3a3e35..9bd6bfc3 100644
--- a/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
+++ b/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from policyengine.utils.huggingface import download
diff --git a/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py b/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
index a15436db..1fc63e3f 100644
--- a/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
+++ b/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from policyengine.utils.huggingface import download
diff --git a/policyengine/outputs/macro/single/gov/programs.py b/policyengine/outputs/macro/single/gov/programs.py
index 13d5f318..9eed4075 100644
--- a/policyengine/outputs/macro/single/gov/programs.py
+++ b/policyengine/outputs/macro/single/gov/programs.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from dataclasses import dataclass
diff --git a/policyengine/outputs/macro/single/household/demographics.py b/policyengine/outputs/macro/single/household/demographics.py
index e63862cd..5e5e40f4 100644
--- a/policyengine/outputs/macro/single/household/demographics.py
+++ b/policyengine/outputs/macro/single/household/demographics.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 
diff --git a/policyengine/outputs/macro/single/household/finance.py b/policyengine/outputs/macro/single/household/finance.py
index e20cb67f..7604cdc9 100644
--- a/policyengine/outputs/macro/single/household/finance.py
+++ b/policyengine/outputs/macro/single/household/finance.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 
diff --git a/policyengine/outputs/macro/single/household/household.py b/policyengine/outputs/macro/single/household/household.py
index ed064690..704e9aa8 100644
--- a/policyengine/outputs/macro/single/household/household.py
+++ b/policyengine/outputs/macro/single/household/household.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from .demographics import calculate_demographics
diff --git a/policyengine/outputs/macro/single/household/income_distribution.py b/policyengine/outputs/macro/single/household/income_distribution.py
index 0a270b43..959244f4 100644
--- a/policyengine/outputs/macro/single/household/income_distribution.py
+++ b/policyengine/outputs/macro/single/household/income_distribution.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 import plotly.express as px
diff --git a/policyengine/outputs/macro/single/household/inequality.py b/policyengine/outputs/macro/single/household/inequality.py
index 412abdff..4b81ded4 100644
--- a/policyengine/outputs/macro/single/household/inequality.py
+++ b/policyengine/outputs/macro/single/household/inequality.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 
diff --git a/policyengine/outputs/macro/single/household/labor_supply.py b/policyengine/outputs/macro/single/household/labor_supply.py
index 28dd315e..0fec1876 100644
--- a/policyengine/outputs/macro/single/household/labor_supply.py
+++ b/policyengine/outputs/macro/single/household/labor_supply.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 
diff --git a/policyengine/outputs/macro/single/single.py b/policyengine/outputs/macro/single/single.py
index 7bfc8f64..87bf5330 100644
--- a/policyengine/outputs/macro/single/single.py
+++ b/policyengine/outputs/macro/single/single.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from .gov import calculate_gov
diff --git a/policyengine/utils/budget.py b/policyengine/utils/budget.py
index 3a303468..e2d0e12f 100644
--- a/policyengine/utils/budget.py
+++ b/policyengine/utils/budget.py
@@ -23,6 +23,7 @@ def budget_breakdown(
         pd.DataFrame: A DataFrame containing the budgetary impact of the reform by provision.
     """
     from policyengine import Simulation
+
     subreform_items = []
     year_items = []
     budget_items = []

From 366c2989eec6341d11aae1854556f2db84c076c4 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 14:33:11 +1100
Subject: [PATCH 11/32] Update versioning action

---
 .github/workflows/code_changes.yaml | 14 +++++++-------
 .github/workflows/versioning.yaml   | 10 +++++-----
 2 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/.github/workflows/code_changes.yaml b/.github/workflows/code_changes.yaml
index cd4b45a0..608b74ae 100644
--- a/.github/workflows/code_changes.yaml
+++ b/.github/workflows/code_changes.yaml
@@ -12,13 +12,13 @@ on:
 
 jobs:
   Lint:
-      runs-on: ubuntu-latest
-      steps:
-          - uses: actions/checkout@v4
-          - name: Check formatting
-            uses: "lgeiger/black-action@master"
-            with:
-                args: ". -l 79 --check"
+    runs-on: ubuntu-latest
+    steps:
+        - uses: actions/checkout@v4
+        - name: Check formatting
+          uses: "lgeiger/black-action@master"
+          with:
+              args: ". -l 79 --check"
   Test:
       runs-on: ubuntu-latest
       steps:
diff --git a/.github/workflows/versioning.yaml b/.github/workflows/versioning.yaml
index 4d83a166..53709c4e 100644
--- a/.github/workflows/versioning.yaml
+++ b/.github/workflows/versioning.yaml
@@ -2,12 +2,12 @@
 
 name: Versioning updates
 on:
-    pull_request:
-        branches:
-            - main
+  push:
+      branches:
+          - main
 
-        paths:
-            - changelog_entry.yaml
+      paths:
+          - changelog_entry.yaml
 
 jobs:
     Versioning:

From 410d9c3def7f586584bae2639b34cca2e574ac5c Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Fri, 24 Jan 2025 17:49:36 +1100
Subject: [PATCH 12/32] Add typed functions

---
 .gitignore                                    |   2 +
 docs/_config.yml                              |   2 +
 docs/_static/style.css                        |   8 +-
 docs/_toc.yml                                 |   5 +-
 docs/index.ipynb                              | 126 ----------------
 docs/index.md                                 |   2 +
 docs/reference/simulation.md                  |   7 -
 .../comparison/axes/variation_chart.py        |  96 -------------
 .../household/comparison/net_income_change.py |   4 -
 .../outputs/household/single/net_income.py    |   2 -
 .../outputs/macro/comparison/__init__.py      |   1 -
 .../macro/comparison/budget/__init__.py       |   1 -
 .../macro/comparison/budget/breakdown.py      |  76 ----------
 .../outputs/macro/comparison/budget/budget.py |  19 ---
 .../macro/comparison/budget/general.py        | 119 ----------------
 .../macro/comparison/budget/programs.py       |  34 -----
 .../outputs/macro/comparison/budget/window.py |  74 ----------
 .../outputs/macro/comparison/comparison.py    |  15 --
 .../macro/comparison/decile/__init__.py       |   1 -
 .../outputs/macro/comparison/decile/decile.py |  15 --
 .../outputs/macro/comparison/decile/income.py |  69 ---------
 .../outputs/macro/comparison/decile/wealth.py |  70 ---------
 .../outputs/macro/comparison/inequality.py    |  35 -----
 .../outputs/macro/comparison/labor_supply.py  | 132 -----------------
 .../local_areas/local_authorities.py          |  47 ------
 .../parliamentary_constituencies.py           |  53 -------
 .../outputs/macro/comparison/poverty/age.py   | 108 --------------
 .../macro/comparison/poverty/gender.py        |  72 ----------
 .../outputs/macro/comparison/poverty/race.py  |  62 --------
 .../macro/comparison/winners/income_decile.py |  86 -----------
 .../macro/comparison/winners/wealth_decile.py |  88 ------------
 policyengine/outputs/macro/single/__init__.py |   2 +-
 .../outputs/macro/single/gov/__init__.py      |   1 -
 .../outputs/macro/single/gov/balance.py       |  21 ---
 .../outputs/macro/single/gov/budget_window.py |  52 -------
 policyengine/outputs/macro/single/gov/gov.py  |  19 ---
 .../macro/single/gov/local_areas/__init__.py  |   1 -
 .../single/gov/local_areas/local_areas.py     |  24 ----
 .../gov/local_areas/local_authorities.py      |  92 ------------
 .../parliamentary_constituencies.py           |  95 -------------
 .../outputs/macro/single/gov/programs.py      |  40 ------
 .../macro/single/household/__init__.py        |   2 +-
 .../macro/single/household/demographics.py    |  51 ++++---
 .../outputs/macro/single/household/finance.py |  96 ++++++++-----
 .../macro/single/household/household.py       |  41 ++++--
 .../single/household/income_distribution.py   |  61 --------
 .../macro/single/household/inequality.py      |  30 +++-
 .../macro/single/household/labor_supply.py    | 134 +++++++++---------
 policyengine/outputs/macro/single/single.py   |  22 +--
 policyengine/simulation.py                    |  26 ++--
 policyengine/utils/typing.py                  |  27 ++++
 pyproject.toml                                |   1 +
 52 files changed, 275 insertions(+), 1994 deletions(-)
 delete mode 100644 docs/index.ipynb
 create mode 100644 docs/index.md
 delete mode 100644 policyengine/outputs/household/comparison/axes/variation_chart.py
 delete mode 100644 policyengine/outputs/household/comparison/net_income_change.py
 delete mode 100644 policyengine/outputs/household/single/net_income.py
 delete mode 100644 policyengine/outputs/macro/comparison/__init__.py
 delete mode 100644 policyengine/outputs/macro/comparison/budget/__init__.py
 delete mode 100644 policyengine/outputs/macro/comparison/budget/breakdown.py
 delete mode 100644 policyengine/outputs/macro/comparison/budget/budget.py
 delete mode 100644 policyengine/outputs/macro/comparison/budget/general.py
 delete mode 100644 policyengine/outputs/macro/comparison/budget/programs.py
 delete mode 100644 policyengine/outputs/macro/comparison/budget/window.py
 delete mode 100644 policyengine/outputs/macro/comparison/comparison.py
 delete mode 100644 policyengine/outputs/macro/comparison/decile/__init__.py
 delete mode 100644 policyengine/outputs/macro/comparison/decile/decile.py
 delete mode 100644 policyengine/outputs/macro/comparison/decile/income.py
 delete mode 100644 policyengine/outputs/macro/comparison/decile/wealth.py
 delete mode 100644 policyengine/outputs/macro/comparison/inequality.py
 delete mode 100644 policyengine/outputs/macro/comparison/labor_supply.py
 delete mode 100644 policyengine/outputs/macro/comparison/local_areas/local_authorities.py
 delete mode 100644 policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py
 delete mode 100644 policyengine/outputs/macro/comparison/poverty/age.py
 delete mode 100644 policyengine/outputs/macro/comparison/poverty/gender.py
 delete mode 100644 policyengine/outputs/macro/comparison/poverty/race.py
 delete mode 100644 policyengine/outputs/macro/comparison/winners/income_decile.py
 delete mode 100644 policyengine/outputs/macro/comparison/winners/wealth_decile.py
 delete mode 100644 policyengine/outputs/macro/single/gov/__init__.py
 delete mode 100644 policyengine/outputs/macro/single/gov/balance.py
 delete mode 100644 policyengine/outputs/macro/single/gov/budget_window.py
 delete mode 100644 policyengine/outputs/macro/single/gov/gov.py
 delete mode 100644 policyengine/outputs/macro/single/gov/local_areas/__init__.py
 delete mode 100644 policyengine/outputs/macro/single/gov/local_areas/local_areas.py
 delete mode 100644 policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
 delete mode 100644 policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
 delete mode 100644 policyengine/outputs/macro/single/gov/programs.py
 delete mode 100644 policyengine/outputs/macro/single/household/income_distribution.py
 create mode 100644 policyengine/utils/typing.py

diff --git a/.gitignore b/.gitignore
index b149da0c..f844ae2d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -160,3 +160,5 @@ cython_debug/
 #.idea/
 
 *.ipynb
+
+old/
diff --git a/docs/_config.yml b/docs/_config.yml
index 709a2a4a..a4d7bf82 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -14,6 +14,8 @@ repository:
   branch: master
   path_to_book: docs
 
+title: Python documentation
+
 sphinx:
   config:
     html_js_files:
diff --git a/docs/_static/style.css b/docs/_static/style.css
index 2a7a0ae4..acb4f2e0 100644
--- a/docs/_static/style.css
+++ b/docs/_static/style.css
@@ -1,9 +1,15 @@
 @import url('https://fonts.googleapis.com/css2?family=Roboto+Serif:opsz@8..144&family=Roboto:wght@300&display=swap');
 
-h1, h2, h3, h4, h5, h6 {
+
+h1, h2, h3 {
     font-family: "Roboto";
+    font-weight: 200;
 }
 
 body {
     font-family: "Roboto Serif";
+}
+
+.sidebar-brand-text {
+    text-align: left;
 }
\ No newline at end of file
diff --git a/docs/_toc.yml b/docs/_toc.yml
index 65bcb573..9c9fe382 100644
--- a/docs/_toc.yml
+++ b/docs/_toc.yml
@@ -1,10 +1,7 @@
 format: jb-book
 root: index
 parts:
-  - caption: Maintenance
-    chapters:
-    - file: maintaining
   - caption: Reference
     chapters:
     - file: reference/simulation
-    - file: reference/calculate
\ No newline at end of file
+    - file: reference/calculate/calculate_macro_scenario.md
diff --git a/docs/index.ipynb b/docs/index.ipynb
deleted file mode 100644
index 7ad6373a..00000000
--- a/docs/index.ipynb
+++ /dev/null
@@ -1,126 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Introduction\n",
-    "\n",
-    "The PolicyEngine Python package serves as a package unifying all PolicyEngine tax-benefit models and outputs, providing the highest-level interface outside of the web app. It's aimed to provide a clear, simple interface to specify model inputs and pull out model outputs, both at the household and macro level.\n",
-    "\n",
-    "Generally, PolicyEngine's models' usage falls into a 2x2 of categories:\n",
-    "\n",
-    "1. Simulating over a specific household\n",
-    "\n",
-    "    a. Simulating a particular policy (scenario) over a household (e.g. what benefits am I entitled to now?)\n",
-    "\n",
-    "    b. Comparing two policies over a household (how would this tax reform affect my net income?)\n",
-    "2. Simulating over the entire population\n",
-    "\n",
-    "    a. Simulating a particular policy over the population (what's the poverty rate right now?)\n",
-    "\n",
-    "    b. Comparing two policies over the population (how would this tax reform affect the poverty rate?)\n",
-    "\n",
-    "\n",
-    "Here's an example of how to use it to calculate how abolishing the Personal Allowance in the UK (US- standard deduction) would affect an earner on £30,000."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'Simulation' object has no attribute 'calculate_macro_comparison'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[1], line 18\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpolicyengine\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Simulation\n\u001b[1;32m      3\u001b[0m sim \u001b[38;5;241m=\u001b[39m Simulation(\n\u001b[1;32m      4\u001b[0m     country\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muk\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m      5\u001b[0m     scope\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhousehold\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     16\u001b[0m     }\n\u001b[1;32m     17\u001b[0m )\n\u001b[0;32m---> 18\u001b[0m \u001b[43msim\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcalculate_macro_comparison\u001b[49m()\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'Simulation' object has no attribute 'calculate_macro_comparison'"
-     ]
-    }
-   ],
-   "source": [
-    "from policyengine import Simulation\n",
-    "\n",
-    "sim = Simulation(\n",
-    "    country=\"uk\",\n",
-    "    scope=\"household\",\n",
-    "    data={\n",
-    "        \"employment_income\": {\n",
-    "            2025: 30_000\n",
-    "        },\n",
-    "    },\n",
-    "    time_period=2025,\n",
-    "    reform={\n",
-    "        \"gov.hmrc.income_tax.allowances.personal_allowance.amount\": {\n",
-    "            \"2025\": 0,\n",
-    "        }\n",
-    "    }\n",
-    ")\n",
-    "sim.calculate_macro_comparison()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "And here's an example of how to calculate how the same policy would affect the UK government's tax revenue."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "130.69994101206225"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sim = Simulation(\n",
-    "    country=\"uk\",\n",
-    "    scope=\"macro\",\n",
-    "    data=\"enhanced_frs\",\n",
-    "    time_period=2025,\n",
-    "    reform={\n",
-    "        \"gov.hmrc.income_tax.allowances.personal_allowance.amount\": {\n",
-    "            \"2025\": 0,\n",
-    "        }\n",
-    "    }\n",
-    ")\n",
-    "sim.calculate_macro_comparison()"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "base",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.14"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/docs/index.md b/docs/index.md
new file mode 100644
index 00000000..080864a1
--- /dev/null
+++ b/docs/index.md
@@ -0,0 +1,2 @@
+# PolicyEngine Python interface
+
diff --git a/docs/reference/simulation.md b/docs/reference/simulation.md
index 9b273839..03c8890a 100644
--- a/docs/reference/simulation.md
+++ b/docs/reference/simulation.md
@@ -1,13 +1,6 @@
 # Simulation
 
-The `Simulation` class is the main interface under `policyengine`. It lets you define a simulation (either of a single policy or a factual-counterfactual pair) and run it.
-
 ```{eval-rst}
 .. autoclass:: policyengine.Simulation
     :members:
-    :undoc-members:
-    :show-inheritance:
-    :inherited-members:
-    :exclude-members: __init__
-    :special-members: __init__
 ```
\ No newline at end of file
diff --git a/policyengine/outputs/household/comparison/axes/variation_chart.py b/policyengine/outputs/household/comparison/axes/variation_chart.py
deleted file mode 100644
index ec9bb364..00000000
--- a/policyengine/outputs/household/comparison/axes/variation_chart.py
+++ /dev/null
@@ -1,96 +0,0 @@
-from policyengine import Simulation
-import plotly.graph_objects as go
-from policyengine.utils.charts import *
-
-
-def variation_chart(
-    simulation: Simulation,
-    target_variable: str = None,
-    variable: str = "employment_income",
-    variable_min: float = 0,
-    variable_max: float = 200_000,
-    variable_count: int = 1001,
-    show_baseline: bool = False,
-) -> go.Figure:
-    if target_variable is None:
-        return {}
-
-    sim = Simulation(
-        country=simulation.country,
-        scope="household",
-        baseline=simulation.baseline.reform,
-        reform=simulation.reformed.reform,
-        time_period=simulation.time_period,
-        options=simulation.options,
-        data={
-            **simulation.data,
-            "axes": [
-                [
-                    {
-                        "name": variable,
-                        "min": variable_min,
-                        "max": variable_max,
-                        "count": variable_count,
-                        "period": simulation.time_period,
-                    }
-                ]
-            ],
-        },
-    )
-
-    baseline_values = sim.baseline.calculate(
-        target_variable, map_to="household"
-    )
-    reform_values = sim.reformed.calculate(target_variable, map_to="household")
-    axis_values = sim.baseline.calculate(variable, map_to="household")
-
-    if show_baseline:
-        fig = go.Figure()
-        fig.add_trace(
-            go.Line(
-                x=axis_values,
-                y=baseline_values,
-                mode="lines",
-                name="Baseline",
-                line=dict(color=DARK_GRAY, dash="solid"),
-            )
-        )
-        fig.add_trace(
-            go.Line(
-                x=axis_values,
-                y=reform_values,
-                mode="lines",
-                name="Reform",
-                line=dict(color=BLUE, dash="dash"),
-            )
-        )
-        fig.update_layout(
-            title="Impact by " + variable,
-            xaxis_title=variable,
-            yaxis_title=target_variable,
-            xaxis_tickformat=",.0f",
-            yaxis_tickformat=",.0f",
-            showlegend=True,
-        )
-    else:
-        fig = go.Figure(
-            data=[
-                go.Line(
-                    x=axis_values,
-                    y=reform_values - baseline_values,
-                    mode="lines",
-                    name="Reform",
-                    line=dict(color=BLUE, dash="solid"),
-                )
-            ]
-        )
-        fig.update_layout(
-            title="Impact by " + variable,
-            xaxis_title=variable,
-            yaxis_title=target_variable,
-            xaxis_tickformat=",.0f",
-            yaxis_tickformat=",.0f",
-            showlegend=False,
-        )
-
-    return format_fig(fig, simulation.country)
diff --git a/policyengine/outputs/household/comparison/net_income_change.py b/policyengine/outputs/household/comparison/net_income_change.py
deleted file mode 100644
index 47fb9e1b..00000000
--- a/policyengine/outputs/household/comparison/net_income_change.py
+++ /dev/null
@@ -1,4 +0,0 @@
-def net_income_change(simulation):
-    baseline_net_income = simulation.calculate("household/baseline/net_income")
-    reform_net_income = simulation.calculate("household/reform/net_income")
-    return reform_net_income - baseline_net_income
diff --git a/policyengine/outputs/household/single/net_income.py b/policyengine/outputs/household/single/net_income.py
deleted file mode 100644
index 01a97f07..00000000
--- a/policyengine/outputs/household/single/net_income.py
+++ /dev/null
@@ -1,2 +0,0 @@
-def net_income(simulation):
-    return simulation.selected_sim.calculate("household_net_income").sum()
diff --git a/policyengine/outputs/macro/comparison/__init__.py b/policyengine/outputs/macro/comparison/__init__.py
deleted file mode 100644
index 197ba0a3..00000000
--- a/policyengine/outputs/macro/comparison/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-from .comparison import calculate_macro_comparison
diff --git a/policyengine/outputs/macro/comparison/budget/__init__.py b/policyengine/outputs/macro/comparison/budget/__init__.py
deleted file mode 100644
index d598215b..00000000
--- a/policyengine/outputs/macro/comparison/budget/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-from .budget import calculate_budget_comparison
diff --git a/policyengine/outputs/macro/comparison/budget/breakdown.py b/policyengine/outputs/macro/comparison/budget/breakdown.py
deleted file mode 100644
index 13ce3fe2..00000000
--- a/policyengine/outputs/macro/comparison/budget/breakdown.py
+++ /dev/null
@@ -1,76 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from typing import List
-import pandas as pd
-from policyengine.outputs.macro.comparison.budget.general import (
-    calculate_general_budget_comparison,
-)
-
-
-def calculate_provision_breakdown_comparison(
-    simulation: "Simulation",
-    provisions: List[dict] | None = None,
-    provision_names: List[str] | None = None,
-    count_years: int = 5,
-    verbose: bool = False,
-) -> pd.DataFrame:
-    """Calculate the budgetary impact of the reform by provision.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-        provisions (List[dict], optional): The provisions to include in the breakdown. Defaults to None.
-        provision_names (List[str], optional): The names of the provisions to include in the breakdown. Defaults to None.
-        count_years (int, optional): The number of years to include in the breakdown. Defaults to 5.
-        verbose (bool, optional): Whether to print the budgetary impacts. Defaults to False.
-
-    Returns:
-        pd.DataFrame: A DataFrame (long) containing the budgetary impact of the reform by provision.
-    """
-    if provision_names is None:
-        return {}
-    years = list(
-        range(simulation.time_period, simulation.time_period + count_years)
-    )
-    baseline = simulation.baseline.reform
-    options = simulation.options
-    subreform_items = []
-    year_items = []
-    budget_items = []
-    for year in years:
-        last_budgetary_impact = 0
-        for i in range(len(provisions)):
-            reform_subset = provisions[: i + 1]
-            sim = Simulation(
-                country="uk",
-                scope="macro",
-                baseline=baseline,
-                reform=reform_subset,
-                time_period=year,
-                options=options,
-                data=simulation.data,
-            )
-            budget = calculate_general_budget_comparison(sim)[
-                "budgetary_impact"
-            ]
-            key_focus = provision_names[i]
-            difference = budget - last_budgetary_impact
-            last_budgetary_impact = budget
-
-            subreform_items.append(key_focus)
-            year_items.append(year)
-            budget_items.append(difference)
-
-            if verbose:
-                print(
-                    f"Year: {year}, Provision: {key_focus}, Budgetary impact: {round(difference/1e9)}"
-                )
-
-    return pd.DataFrame(
-        {
-            "Provision": subreform_items,
-            "Year": year_items,
-            "Budgetary impact": budget_items,
-        }
-    )
diff --git a/policyengine/outputs/macro/comparison/budget/budget.py b/policyengine/outputs/macro/comparison/budget/budget.py
deleted file mode 100644
index f1c92ed1..00000000
--- a/policyengine/outputs/macro/comparison/budget/budget.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from .breakdown import calculate_provision_breakdown_comparison
-from .general import calculate_general_budget_comparison
-from .window import calculate_budget_window_comparison
-from .programs import calculate_program_comparison
-
-
-def calculate_budget_comparison(
-    simulation: "Simulation",
-) -> dict:
-    return {
-        "breakdown": calculate_provision_breakdown_comparison(simulation),
-        "general": calculate_general_budget_comparison(simulation),
-        "window": calculate_budget_window_comparison(simulation),
-        "programs": calculate_program_comparison(simulation),
-    }
diff --git a/policyengine/outputs/macro/comparison/budget/general.py b/policyengine/outputs/macro/comparison/budget/general.py
deleted file mode 100644
index 7994e432..00000000
--- a/policyengine/outputs/macro/comparison/budget/general.py
+++ /dev/null
@@ -1,119 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-import plotly.graph_objects as go
-import plotly.express as px
-import pandas as pd
-from policyengine.utils.charts import *
-from policyengine.outputs.macro.single.gov.balance import calculate_balance
-
-
-def calculate_general_budget_comparison(
-    simulation: "Simulation", chart: bool = False
-):
-    """Calculate the budgetary impact of the given simulation.
-
-    Args:
-        simulation (Simulation): The simulation for which the revenue impact is to be calculated.
-
-    Returns:
-        dict: A dictionary containing the budgetary impact details with the following keys:
-            - budgetary_impact (float): The overall budgetary impact.
-            - tax_revenue_impact (float): The impact on tax revenue.
-            - state_tax_revenue_impact (float): The impact on state tax revenue.
-            - benefit_spending_impact (float): The impact on benefit spending.
-            - households (int): The number of households.
-            - baseline_net_income (float): The total net income in the baseline scenario.
-    """
-    simulation.selected_sim = simulation.baseline_sim
-    baseline = calculate_balance(simulation)
-    simulation.selected_sim = simulation.reformed_sim
-    reform = calculate_balance(simulation)
-
-    tax_revenue_impact = (
-        reform["gov"]["balance"]["total_tax"]
-        - baseline["gov"]["balance"]["total_tax"]
-    )
-    state_tax_revenue_impact = (
-        reform["gov"]["balance"]["total_state_tax"]
-        - baseline["gov"]["balance"]["total_state_tax"]
-    )
-    benefit_spending_impact = (
-        reform["gov"]["balance"]["total_spending"]
-        - baseline["gov"]["balance"]["total_spending"]
-    )
-    budgetary_impact = tax_revenue_impact - benefit_spending_impact
-    households = baseline["household"]["demographics"]["total_households"]
-    baseline_net_income = baseline["household"]["finance"]["total_net_income"]
-    result = dict(
-        budgetary_impact=budgetary_impact,
-        tax_revenue_impact=tax_revenue_impact,
-        state_tax_revenue_impact=state_tax_revenue_impact,
-        benefit_spending_impact=benefit_spending_impact,
-        households=households,
-        baseline_net_income=baseline_net_income,
-    )
-    if chart:
-        return budget_chart(simulation, result)
-    else:
-        return result
-
-
-def budget_chart(simulation: "Simulation", data: dict) -> go.Figure:
-    if simulation.country == "uk":
-        x = ["Tax revenues", "Benefit spending", "Budgetary impact"]
-        y = [
-            data["tax_revenue_impact"],
-            -data["benefit_spending_impact"],
-            data["budgetary_impact"],
-        ]
-    else:
-        x = [
-            "Federal tax revenues",
-            "State tax revenues",
-            "Benefit spending",
-            "Budgetary impact",
-        ]
-        y = [
-            data["tax_revenue_impact"] - data["state_tax_revenue_impact"],
-            data["state_tax_revenue_impact"],
-            -data["benefit_spending_impact"],
-            data["budgetary_impact"],
-        ]
-    fig = go.Figure(
-        data=[
-            go.Waterfall(
-                x=x,
-                y=[i / 1e9 for i in y],
-                orientation="v",
-                measure=["relative"] * (len(x) - 1) + ["total"],
-                text=[
-                    (
-                        "+" + str(round(val / 1e9, 1))
-                        if val > 0
-                        else str(round(val / 1e9, 1))
-                    )
-                    for val in y
-                ],
-                textposition="inside",
-                increasing={"marker": {"color": BLUE}},
-                decreasing={"marker": {"color": DARK_GRAY}},
-                totals={"marker": {"color": BLUE if y[-1] > 0 else DARK_GRAY}},
-                connector={
-                    "line": {"color": DARK_GRAY, "width": 2, "dash": "dot"}
-                },
-            )
-        ]
-    )
-
-    fig.update_layout(
-        title="Budgetary impact by government revenue and spending",
-        xaxis_title="",
-        yaxis_title="Budgetary impact (£ billions)",
-        yaxis_tickformat=",.0f",
-        uniformtext_minsize=12,
-        uniformtext_mode="hide",
-    )
-
-    return format_fig(fig, simulation.country)
diff --git a/policyengine/outputs/macro/comparison/budget/programs.py b/policyengine/outputs/macro/comparison/budget/programs.py
deleted file mode 100644
index 5d2c8d5f..00000000
--- a/policyengine/outputs/macro/comparison/budget/programs.py
+++ /dev/null
@@ -1,34 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from policyengine.outputs.macro.single import calculate_single_macro_scenario
-
-
-def calculate_program_comparison(simulation: "Simulation"):
-    """Calculate the detailed budgetary impact of the given simulation.
-
-    Args:
-        simulation (Simulation): The simulation for which the budgetary impact is to be calculated.
-
-    Returns:
-        dict: A dictionary containing the detailed budgetary impact for each program with the following keys:
-            - baseline (float): The baseline budgetary impact of the program.
-            - reform (float): The reform budgetary impact of the program.
-            - difference (float): The difference between the reform and baseline budgetary impacts.
-    """
-    simulation.selected_sim = simulation.baseline_sim
-    baseline = calculate_single_macro_scenario(simulation)
-    simulation.selected_sim = simulation.reformed_sim
-    reform = calculate_single_macro_scenario(simulation)
-    result = {}
-    if simulation.country == "uk":
-        for program in baseline["gov"]["programs"]:
-            # baseline[programs][program] = total budgetary impact of program
-            result[program] = dict(
-                baseline=baseline["gov"]["programs"][program],
-                reform=reform["gov"]["programs"][program],
-                difference=reform["gov"]["programs"][program]
-                - baseline["gov"]["programs"][program],
-            )
-    return result
diff --git a/policyengine/outputs/macro/comparison/budget/window.py b/policyengine/outputs/macro/comparison/budget/window.py
deleted file mode 100644
index 80d7968c..00000000
--- a/policyengine/outputs/macro/comparison/budget/window.py
+++ /dev/null
@@ -1,74 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-import plotly.graph_objects as go
-import plotly.express as px
-import pandas as pd
-from policyengine.utils.charts import *
-from policyengine.outputs.macro.single.gov.budget_window import (
-    calculate_budget_window,
-)
-
-
-def calculate_budget_window_comparison(
-    simulation: "Simulation",
-    chart: bool = False,
-    federal_only: bool = False,
-    count_years: int = 1,
-):
-    if count_years == 1:
-        kwargs = {}
-    else:
-        kwargs = {"count_years": count_years}
-    simulation.selected_sim = simulation.baseline_sim
-    baseline = calculate_budget_window(simulation, **kwargs)
-    simulation.selected_sim = simulation.reformed_sim
-    reform = calculate_budget_window(simulation, **kwargs)
-    total_budget_effect = [
-        (y - x)
-        for x, y in zip(baseline["total_budget"], reform["total_budget"])
-    ]
-    federal_budget_effect = [
-        (y - x)
-        for x, y in zip(
-            baseline["total_federal_budget"], reform["total_federal_budget"]
-        )
-    ]
-
-    result = dict(
-        total_budget=total_budget_effect,
-        federal_budget=federal_budget_effect,
-    )
-
-    if chart:
-        return budget_window_chart(
-            result["federal_budget"]
-            if federal_only
-            else result["total_budget"]
-        )
-    else:
-        return result
-
-
-def budget_window_chart(budget_effect) -> go.Figure:
-    fig = go.Figure(
-        data=[
-            go.Bar(
-                y=budget_effect,
-                x=list(map(str, range(2025, 2025 + 10))),
-                marker=dict(
-                    color=[BLUE if y > 0 else DARK_GRAY for y in budget_effect]
-                ),
-                text=[
-                    f"{'+' if y >= 0 else ''}{y:.1f}" for y in budget_effect
-                ],
-            )
-        ]
-    ).update_layout(
-        title="Budgetary impact by year",
-        xaxis_title="Year",
-        yaxis_title="Budgetary impact (£ billions)",
-    )
-
-    return format_fig(fig)
diff --git a/policyengine/outputs/macro/comparison/comparison.py b/policyengine/outputs/macro/comparison/comparison.py
deleted file mode 100644
index b99c930c..00000000
--- a/policyengine/outputs/macro/comparison/comparison.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from .budget import calculate_budget_comparison
-from .decile import calculate_decile_comparison
-
-
-def calculate_macro_comparison(
-    simulation: "Simulation",
-) -> dict:
-    return {
-        "budget": calculate_budget_comparison(simulation),
-        "decile": calculate_decile_comparison(simulation),
-    }
diff --git a/policyengine/outputs/macro/comparison/decile/__init__.py b/policyengine/outputs/macro/comparison/decile/__init__.py
deleted file mode 100644
index 48be4ab1..00000000
--- a/policyengine/outputs/macro/comparison/decile/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-from .decile import calculate_decile_comparison
diff --git a/policyengine/outputs/macro/comparison/decile/decile.py b/policyengine/outputs/macro/comparison/decile/decile.py
deleted file mode 100644
index 95cebcb8..00000000
--- a/policyengine/outputs/macro/comparison/decile/decile.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from .income import calculate_income_decile_comparison
-from .wealth import calculate_wealth_decile_comparison
-
-
-def calculate_decile_comparison(
-    simulation: "Simulation",
-) -> dict:
-    return {
-        "income": calculate_income_decile_comparison(simulation),
-        "wealth": calculate_wealth_decile_comparison(simulation),
-    }
diff --git a/policyengine/outputs/macro/comparison/decile/income.py b/policyengine/outputs/macro/comparison/decile/income.py
deleted file mode 100644
index d3824ea1..00000000
--- a/policyengine/outputs/macro/comparison/decile/income.py
+++ /dev/null
@@ -1,69 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from microdf import MicroSeries
-from ...single import calculate_single_macro_scenario
-
-
-def calculate_income_decile_comparison(simulation: "Simulation"):
-    """Calculate the impact of the reform on income deciles.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-
-    Returns:
-        dict: A dictionary containing the impact details with the following keys:
-            - relative (dict): A dictionary with keys representing deciles and values as relative income changes.
-            - average (dict): A dictionary with keys representing deciles and values as average income changes.
-    """
-    simulation.selected_sim = simulation.baseline_sim
-    baseline = calculate_single_macro_scenario(simulation)
-    simulation.selected_sim = simulation.reformed_sim
-    reform = calculate_single_macro_scenario(simulation)
-    baseline["household"]["finance"] = simulation.calculate(
-        "macro/baseline/household/finance", include_arrays=True
-    )
-    baseline["household"]["demographics"] = simulation.calculate(
-        "macro/baseline/household/demographics", include_arrays=True
-    )
-    reform["household"]["finance"] = simulation.calculate(
-        "macro/reform/household/finance", include_arrays=True
-    )
-    reform["household"]["demographics"] = simulation.calculate(
-        "macro/reform/household/demographics", include_arrays=True
-    )
-
-    baseline_income = MicroSeries(
-        baseline["household"]["finance"]["household_net_income"],
-        weights=baseline["household"]["demographics"]["household_weight"],
-    )
-    reform_income = MicroSeries(
-        reform["household"]["finance"]["household_net_income"],
-        weights=baseline_income.weights,
-    )
-
-    # Filter out negative decile values
-    decile = MicroSeries(
-        baseline["household"]["finance"]["household_income_decile"]
-    )
-    baseline_income_filtered = baseline_income[decile >= 0]
-    reform_income_filtered = reform_income[decile >= 0]
-
-    income_change = reform_income_filtered - baseline_income_filtered
-    rel_income_change_by_decile = (
-        income_change.groupby(decile).sum()
-        / baseline_income_filtered.groupby(decile).sum()
-    )
-
-    avg_income_change_by_decile = (
-        income_change.groupby(decile).sum()
-        / baseline_income_filtered.groupby(decile).count()
-    )
-    rel_decile_dict = rel_income_change_by_decile.to_dict()
-    avg_decile_dict = avg_income_change_by_decile.to_dict()
-    result = dict(
-        relative={int(k): v for k, v in rel_decile_dict.items()},
-        average={int(k): v for k, v in avg_decile_dict.items()},
-    )
-    return result
diff --git a/policyengine/outputs/macro/comparison/decile/wealth.py b/policyengine/outputs/macro/comparison/decile/wealth.py
deleted file mode 100644
index d9c94266..00000000
--- a/policyengine/outputs/macro/comparison/decile/wealth.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from microdf import MicroSeries
-from ...single import calculate_single_macro_scenario
-
-
-def calculate_wealth_decile_comparison(simulation: "Simulation"):
-    """Calculate the impact of the reform on wealth deciles.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-
-    Returns:
-        dict: A dictionary containing the impact details with the following keys:
-            - relative (dict): A dictionary with keys representing deciles and values as relative income changes.
-            - average (dict): A dictionary with keys representing deciles and values as average income changes.
-    """
-    if simulation.country != "uk":
-        return {}
-
-    simulation.selected_sim = simulation.baseline_sim
-    baseline = calculate_single_macro_scenario(simulation)
-    simulation.selected_sim = simulation.reformed_sim
-    reform = calculate_single_macro_scenario(simulation)
-    baseline["household"]["finance"] = simulation.calculate(
-        "macro/baseline/household/finance", include_arrays=True
-    )
-    baseline["household"]["demographics"] = simulation.calculate(
-        "macro/baseline/household/demographics", include_arrays=True
-    )
-    reform["household"]["finance"] = simulation.calculate(
-        "macro/reform/household/finance", include_arrays=True
-    )
-    reform["household"]["demographics"] = simulation.calculate(
-        "macro/reform/household/demographics", include_arrays=True
-    )
-
-    baseline_income = MicroSeries(
-        baseline["household"]["finance"]["household_net_income"],
-        weights=baseline["household"]["demographics"]["household_weight"],
-    )
-    reform_income = MicroSeries(
-        reform["household"]["finance"]["household_net_income"],
-        weights=baseline_income.weights,
-    )
-
-    # Filter out negative decile values
-    decile = MicroSeries(baseline["household"]["finance"]["wealth_decile"])
-    baseline_income_filtered = baseline_income[decile >= 0]
-    reform_income_filtered = reform_income[decile >= 0]
-
-    income_change = reform_income_filtered - baseline_income_filtered
-    rel_income_change_by_decile = (
-        income_change.groupby(decile).sum()
-        / baseline_income_filtered.groupby(decile).sum()
-    )
-
-    avg_income_change_by_decile = (
-        income_change.groupby(decile).sum()
-        / baseline_income_filtered.groupby(decile).count()
-    )
-    rel_decile_dict = rel_income_change_by_decile.to_dict()
-    avg_decile_dict = avg_income_change_by_decile.to_dict()
-    result = dict(
-        relative={int(k): v for k, v in rel_decile_dict.items()},
-        average={int(k): v for k, v in avg_decile_dict.items()},
-    )
-    return result
diff --git a/policyengine/outputs/macro/comparison/inequality.py b/policyengine/outputs/macro/comparison/inequality.py
deleted file mode 100644
index a509381b..00000000
--- a/policyengine/outputs/macro/comparison/inequality.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-
-
-def inequality(simulation: "Simulation"):
-    """Calculate the impact of the reform on inequality.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-
-    Returns:
-        dict: A dictionary containing the inequality impact details with the following keys:
-            - gini (dict): A dictionary with baseline and reform Gini coefficients.
-            - top_10_pct_share (dict): A dictionary with baseline and reform top 10% income share.
-            - top_1_pct_share (dict): A dictionary with baseline and reform top 1% income share.
-    """
-    baseline = simulation.calculate("macro/baseline/household/inequality")
-    reform = simulation.calculate("macro/reform/household/inequality")
-
-    return dict(
-        gini=dict(
-            baseline=baseline["gini"],
-            reform=reform["gini"],
-        ),
-        top_10_pct_share=dict(
-            baseline=baseline["top_10_percent_share"],
-            reform=reform["top_10_percent_share"],
-        ),
-        top_1_pct_share=dict(
-            baseline=baseline["top_1_percent_share"],
-            reform=reform["top_1_percent_share"],
-        ),
-    )
diff --git a/policyengine/outputs/macro/comparison/labor_supply.py b/policyengine/outputs/macro/comparison/labor_supply.py
deleted file mode 100644
index 257272e8..00000000
--- a/policyengine/outputs/macro/comparison/labor_supply.py
+++ /dev/null
@@ -1,132 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from microdf import MicroSeries
-import numpy as np
-
-
-def labor_supply(simulation: "Simulation") -> dict:
-    baseline_labor_supply = simulation.calculate(
-        "macro/baseline/household/labor_supply", include_arrays=True
-    )
-    reform_labor_supply = simulation.calculate(
-        "macro/reform/household/labor_supply", include_arrays=True
-    )
-    baseline_finance = simulation.calculate(
-        "macro/baseline/household/finance", include_arrays=True
-    )
-    baseline_demographics = simulation.calculate(
-        "macro/baseline/household/demographics", include_arrays=True
-    )
-
-    substitution_lsr = (
-        reform_labor_supply["substitution_lsr"]
-        - baseline_labor_supply["substitution_lsr"]
-    )
-    income_lsr = (
-        reform_labor_supply["income_lsr"] - baseline_labor_supply["income_lsr"]
-    )
-    total_change = substitution_lsr + income_lsr
-
-    substitution_lsr_hh = np.array(
-        reform_labor_supply["substitution_lsr_hh"]
-    ) - np.array(baseline_labor_supply["substitution_lsr_hh"])
-    income_lsr_hh = np.array(reform_labor_supply["income_lsr_hh"]) - np.array(
-        baseline_labor_supply["income_lsr_hh"]
-    )
-    decile = np.array(baseline_finance["household_income_decile"])
-    household_weight = baseline_demographics["household_weight"]
-
-    total_lsr_hh = substitution_lsr_hh + income_lsr_hh
-
-    emp_income = MicroSeries(
-        baseline_finance["employment_income_hh"],
-        weights=household_weight,
-    )
-    self_emp_income = MicroSeries(
-        baseline_finance["self_employment_income_hh"],
-        weights=household_weight,
-    )
-    earnings = emp_income + self_emp_income
-    original_earnings = earnings - total_lsr_hh
-    substitution_lsr_hh = MicroSeries(
-        substitution_lsr_hh, weights=household_weight
-    )
-    income_lsr_hh = MicroSeries(income_lsr_hh, weights=household_weight)
-
-    decile_avg = dict(
-        income=income_lsr_hh.groupby(decile).mean().to_dict(),
-        substitution=substitution_lsr_hh.groupby(decile).mean().to_dict(),
-    )
-    decile_rel = dict(
-        income=(
-            income_lsr_hh.groupby(decile).sum()
-            / original_earnings.groupby(decile).sum()
-        ).to_dict(),
-        substitution=(
-            substitution_lsr_hh.groupby(decile).sum()
-            / original_earnings.groupby(decile).sum()
-        ).to_dict(),
-    )
-
-    relative_lsr = dict(
-        income=(income_lsr_hh.sum() / original_earnings.sum()),
-        substitution=(substitution_lsr_hh.sum() / original_earnings.sum()),
-    )
-
-    decile_rel["income"] = {
-        int(k): v for k, v in decile_rel["income"].items() if k > 0
-    }
-    decile_rel["substitution"] = {
-        int(k): v for k, v in decile_rel["substitution"].items() if k > 0
-    }
-
-    hours = dict(
-        baseline=baseline_labor_supply["weekly_hours"],
-        reform=reform_labor_supply["weekly_hours"],
-        change=reform_labor_supply["weekly_hours"]
-        - baseline_labor_supply["weekly_hours"],
-        income_effect=reform_labor_supply["weekly_hours_income_effect"]
-        - baseline_labor_supply["weekly_hours_income_effect"],
-        substitution_effect=reform_labor_supply[
-            "weekly_hours_substitution_effect"
-        ]
-        - baseline_labor_supply["weekly_hours_substitution_effect"],
-    )
-
-    rel_labor_supply_change = (
-        total_change / baseline_labor_supply["total_earnings"]
-    )
-    ftes_baseline = baseline_labor_supply["total_workers"]
-    ftes_reform = baseline_labor_supply["total_workers"] * (
-        1 + rel_labor_supply_change
-    )
-    earnings_change = (
-        reform_labor_supply["total_earnings"]
-        - baseline_labor_supply["total_earnings"]
-    )
-
-    return dict(
-        earnings=dict(
-            baseline=baseline_labor_supply["total_earnings"],
-            reform=reform_labor_supply["total_earnings"],
-            change=earnings_change,
-            rel_change=earnings_change
-            / baseline_labor_supply["total_earnings"],
-        ),
-        fte=dict(
-            baseline=ftes_baseline,
-            reform=ftes_reform,
-            change=ftes_reform - ftes_baseline,
-            rel_change=ftes_reform / ftes_baseline - 1,
-        ),
-        substitution_lsr=substitution_lsr,
-        income_lsr=income_lsr,
-        relative_lsr=relative_lsr,
-        decile=dict(
-            average=decile_avg,
-            relative=decile_rel,
-        ),
-        hours=hours,
-    )
diff --git a/policyengine/outputs/macro/comparison/local_areas/local_authorities.py b/policyengine/outputs/macro/comparison/local_areas/local_authorities.py
deleted file mode 100644
index d578b667..00000000
--- a/policyengine/outputs/macro/comparison/local_areas/local_authorities.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from policyengine import Simulation
-import pandas as pd
-from policyengine.utils.huggingface import download
-import plotly.express as px
-from policyengine.utils.charts import *
-from policyengine.utils.maps import plot_hex_map
-from typing import Callable
-from policyengine_core import Microsimulation
-from microdf import MicroSeries
-from ...single.gov.local_areas.local_authorities import (
-    calculate_local_authorities,
-)
-
-
-def local_authorities(
-    simulation: "Simulation",
-    chart: bool = False,
-    metric: Callable[[Microsimulation], MicroSeries] = None,
-    comparator: bool = None,
-) -> dict:
-    if not simulation.options.get("include_local_authorities"):
-        return {}
-
-    kwargs = {}
-    if metric is not None:
-        kwargs["metric"] = metric
-
-    if comparator is None:
-        comparator = lambda x, y: (y / x) - 1
-
-    simulation.selected_sim = simulation.baseline_sim
-    constituency_baseline = calculate_local_authorities(simulation, **kwargs)
-    simulation.selected_sim = simulation.reformed_sim
-    constituency_reform = calculate_local_authorities(simulation, **kwargs)
-
-    result = {}
-
-    for constituency in constituency_baseline:
-        result[constituency] = comparator(
-            constituency_baseline[constituency],
-            constituency_reform[constituency],
-        )
-
-    if chart:
-        return plot_hex_map(result, "local_authorities")
-
-    return result
diff --git a/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py b/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py
deleted file mode 100644
index 0fd99a95..00000000
--- a/policyengine/outputs/macro/comparison/local_areas/parliamentary_constituencies.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-import pandas as pd
-from policyengine.utils.huggingface import download
-import plotly.express as px
-from policyengine.utils.charts import *
-from policyengine.utils.maps import plot_hex_map
-from typing import Callable
-from policyengine_core import Microsimulation
-from microdf import MicroSeries
-from ...single.gov.local_areas.parliamentary_constituencies import (
-    calculate_parliamentary_constituencies,
-)
-
-
-def parliamentary_constituencies(
-    simulation: "Simulation",
-    chart: bool = False,
-    metric: Callable[[Microsimulation], MicroSeries] = None,
-    comparator: bool = None,
-) -> dict:
-    if not simulation.options.get("include_constituencies"):
-        return {}
-
-    kwargs = {}
-    if metric is not None:
-        kwargs["metric"] = metric
-
-    if comparator is None:
-        comparator = lambda x, y: (y / x) - 1
-    simulation.selected_sim = simulation.baseline_sim
-    constituency_baseline = calculate_parliamentary_constituencies(
-        simulation, **kwargs
-    )
-    simulation.selected_sim = simulation.reformed_sim
-    constituency_reform = calculate_parliamentary_constituencies(
-        simulation, **kwargs
-    )
-
-    result = {}
-
-    for constituency in constituency_baseline:
-        result[constituency] = comparator(
-            constituency_baseline[constituency],
-            constituency_reform[constituency],
-        )
-
-    if chart:
-        return plot_hex_map(result, "parliamentary_constituencies")
-
-    return result
diff --git a/policyengine/outputs/macro/comparison/poverty/age.py b/policyengine/outputs/macro/comparison/poverty/age.py
deleted file mode 100644
index 9a187060..00000000
--- a/policyengine/outputs/macro/comparison/poverty/age.py
+++ /dev/null
@@ -1,108 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from microdf import MicroSeries
-
-
-def age(simulation: "Simulation"):
-    """Calculate the impact of the reform on poverty by age.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-
-    Returns:
-        dict: A dictionary containing the poverty and deep poverty impact details with the following keys:
-            - poverty (dict): A dictionary with keys representing age groups and values as dictionaries with baseline and reform poverty rates.
-            - deep_poverty (dict): A dictionary with keys representing age groups and values as dictionaries with baseline and reform deep poverty rates.
-    """
-    baseline = simulation.calculate(
-        "macro/baseline/household/finance", include_arrays=True
-    )
-    reform = simulation.calculate(
-        "macro/reform/household/finance", include_arrays=True
-    )
-    baseline_demographics = simulation.calculate(
-        "macro/baseline/household/demographics", include_arrays=True
-    )
-
-    baseline_poverty = MicroSeries(
-        baseline["person_in_poverty"],
-        weights=baseline_demographics["person_weight"],
-    )
-    baseline_deep_poverty = MicroSeries(
-        baseline["person_in_deep_poverty"],
-        weights=baseline_demographics["person_weight"],
-    )
-    reform_poverty = MicroSeries(
-        reform["person_in_poverty"], weights=baseline_poverty.weights
-    )
-    reform_deep_poverty = MicroSeries(
-        reform["person_in_deep_poverty"], weights=baseline_poverty.weights
-    )
-    age = MicroSeries(baseline_demographics["age"])
-
-    poverty = dict(
-        child=dict(
-            baseline=float(baseline_poverty[age < 18].mean()),
-            reform=float(reform_poverty[age < 18].mean()),
-            change_count=float(
-                (
-                    reform_poverty[age < 18].sum() - baseline_poverty[age < 18]
-                ).sum()
-            ),
-        ),
-        adult=dict(
-            baseline=float(baseline_poverty[(age >= 18) & (age < 65)].mean()),
-            reform=float(reform_poverty[(age >= 18) & (age < 65)].mean()),
-            change_count=float(
-                (
-                    reform_poverty[(age >= 18) & (age < 65)].sum()
-                    - baseline_poverty[(age >= 18) & (age < 65)].sum()
-                )
-            ),
-        ),
-        senior=dict(
-            baseline=float(baseline_poverty[age >= 65].mean()),
-            reform=float(reform_poverty[age >= 65].mean()),
-            change_count=float(
-                (
-                    reform_poverty[age >= 65].sum()
-                    - baseline_poverty[age >= 65].sum()
-                )
-            ),
-        ),
-        all=dict(
-            baseline=float(baseline_poverty.mean()),
-            reform=float(reform_poverty.mean()),
-            change_count=float(
-                (reform_poverty.sum() - baseline_poverty.sum())
-            ),
-        ),
-    )
-
-    deep_poverty = dict(
-        child=dict(
-            baseline=float(baseline_deep_poverty[age < 18].mean()),
-            reform=float(reform_deep_poverty[age < 18].mean()),
-        ),
-        adult=dict(
-            baseline=float(
-                baseline_deep_poverty[(age >= 18) & (age < 65)].mean(),
-            ),
-            reform=float(reform_deep_poverty[(age >= 18) & (age < 65)].mean()),
-        ),
-        senior=dict(
-            baseline=float(baseline_deep_poverty[age >= 65].mean()),
-            reform=float(reform_deep_poverty[age >= 65].mean()),
-        ),
-        all=dict(
-            baseline=float(baseline_deep_poverty.mean()),
-            reform=float(reform_deep_poverty.mean()),
-        ),
-    )
-
-    return dict(
-        poverty=poverty,
-        deep_poverty=deep_poverty,
-    )
diff --git a/policyengine/outputs/macro/comparison/poverty/gender.py b/policyengine/outputs/macro/comparison/poverty/gender.py
deleted file mode 100644
index ac1d0bc2..00000000
--- a/policyengine/outputs/macro/comparison/poverty/gender.py
+++ /dev/null
@@ -1,72 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from microdf import MicroSeries
-
-
-def gender(simulation: "Simulation"):
-    """Calculate the impact of the reform on poverty by gender.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-
-    Returns:
-        dict: A dictionary containing the poverty and deep poverty impact details with the following keys:
-            - poverty (dict): A dictionary with keys representing genders and values as dictionaries with baseline and reform poverty rates.
-            - deep_poverty (dict): A dictionary with keys representing genders and values as dictionaries with baseline and reform deep poverty rates.
-    """
-    baseline = simulation.calculate(
-        "macro/baseline/household/finance", include_arrays=True
-    )
-    reform = simulation.calculate(
-        "macro/reform/household/finance", include_arrays=True
-    )
-    baseline_demographics = simulation.calculate(
-        "macro/baseline/household/demographics", include_arrays=True
-    )
-
-    if baseline_demographics["is_male"] is None:
-        return {}
-    baseline_poverty = MicroSeries(
-        baseline["person_in_poverty"],
-        weights=baseline_demographics["person_weight"],
-    )
-    baseline_deep_poverty = MicroSeries(
-        baseline["person_in_deep_poverty"],
-        weights=baseline_demographics["person_weight"],
-    )
-    reform_poverty = MicroSeries(
-        reform["person_in_poverty"], weights=baseline_poverty.weights
-    )
-    reform_deep_poverty = MicroSeries(
-        reform["person_in_deep_poverty"], weights=baseline_poverty.weights
-    )
-    is_male = MicroSeries(baseline_demographics["is_male"])
-
-    poverty = dict(
-        male=dict(
-            baseline=float(baseline_poverty[is_male].mean()),
-            reform=float(reform_poverty[is_male].mean()),
-        ),
-        female=dict(
-            baseline=float(baseline_poverty[~is_male].mean()),
-            reform=float(reform_poverty[~is_male].mean()),
-        ),
-    )
-
-    deep_poverty = dict(
-        male=dict(
-            baseline=float(baseline_deep_poverty[is_male].mean()),
-            reform=float(reform_deep_poverty[is_male].mean()),
-        ),
-        female=dict(
-            baseline=float(baseline_deep_poverty[~is_male].mean()),
-            reform=float(reform_deep_poverty[~is_male].mean()),
-        ),
-    )
-
-    return dict(
-        poverty=poverty,
-        deep_poverty=deep_poverty,
-    )
diff --git a/policyengine/outputs/macro/comparison/poverty/race.py b/policyengine/outputs/macro/comparison/poverty/race.py
deleted file mode 100644
index c7181010..00000000
--- a/policyengine/outputs/macro/comparison/poverty/race.py
+++ /dev/null
@@ -1,62 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from microdf import MicroSeries
-
-
-def race(simulation: "Simulation"):
-    """Calculate the impact of the reform on poverty by race.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-
-    Returns:
-        dict: A dictionary containing the poverty impact details with the following keys:
-            - poverty (dict): A dictionary with keys representing races and values as dictionaries with baseline and reform poverty rates.
-    """
-    baseline = simulation.calculate(
-        "macro/baseline/household/finance", include_arrays=True
-    )
-    reform = simulation.calculate(
-        "macro/reform/household/finance", include_arrays=True
-    )
-    baseline_demographics = simulation.calculate(
-        "macro/baseline/household/demographics", include_arrays=True
-    )
-
-    if baseline_demographics["race"] is None:
-        return {}
-    baseline_poverty = MicroSeries(
-        baseline["person_in_poverty"],
-        weights=baseline_demographics["person_weight"],
-    )
-    reform_poverty = MicroSeries(
-        reform["person_in_poverty"], weights=baseline_poverty.weights
-    )
-    race = MicroSeries(
-        baseline_demographics["race"]
-    )  # Can be WHITE, BLACK, HISPANIC, or OTHER.
-
-    poverty = dict(
-        white=dict(
-            baseline=float(baseline_poverty[race == "WHITE"].mean()),
-            reform=float(reform_poverty[race == "WHITE"].mean()),
-        ),
-        black=dict(
-            baseline=float(baseline_poverty[race == "BLACK"].mean()),
-            reform=float(reform_poverty[race == "BLACK"].mean()),
-        ),
-        hispanic=dict(
-            baseline=float(baseline_poverty[race == "HISPANIC"].mean()),
-            reform=float(reform_poverty[race == "HISPANIC"].mean()),
-        ),
-        other=dict(
-            baseline=float(baseline_poverty[race == "OTHER"].mean()),
-            reform=float(reform_poverty[race == "OTHER"].mean()),
-        ),
-    )
-
-    return dict(
-        poverty=poverty,
-    )
diff --git a/policyengine/outputs/macro/comparison/winners/income_decile.py b/policyengine/outputs/macro/comparison/winners/income_decile.py
deleted file mode 100644
index bd492691..00000000
--- a/policyengine/outputs/macro/comparison/winners/income_decile.py
+++ /dev/null
@@ -1,86 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from microdf import MicroSeries
-import numpy as np
-
-
-def income_decile(simulation: "Simulation"):
-    """Calculate the impact of the reform on income deciles.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-
-    Returns:
-        dict: A dictionary containing the impact details with the following keys:
-            - deciles (dict): A dictionary with keys representing outcome labels and values as lists of percentages for each decile.
-            - all (dict): A dictionary with keys representing outcome labels and values as overall percentages.
-    """
-    baseline = simulation.calculate("macro/baseline")
-    reform = simulation.calculate("macro/reform")
-    baseline["household"]["finance"] = simulation.calculate(
-        "macro/baseline/household/finance", include_arrays=True
-    )
-    baseline["household"]["demographics"] = simulation.calculate(
-        "macro/baseline/household/demographics", include_arrays=True
-    )
-    reform["household"]["finance"] = simulation.calculate(
-        "macro/reform/household/finance", include_arrays=True
-    )
-    reform["household"]["demographics"] = simulation.calculate(
-        "macro/reform/household/demographics", include_arrays=True
-    )
-
-    baseline_income = MicroSeries(
-        baseline["household"]["finance"]["household_net_income"],
-        weights=baseline["household"]["demographics"]["household_weight"],
-    )
-    reform_income = MicroSeries(
-        reform["household"]["finance"]["household_net_income"],
-        weights=baseline_income.weights,
-    )
-    people = MicroSeries(
-        baseline["household"]["demographics"]["household_count_people"],
-        weights=baseline_income.weights,
-    )
-    decile = MicroSeries(
-        baseline["household"]["finance"]["household_income_decile"]
-    ).values
-    absolute_change = (reform_income - baseline_income).values
-    capped_baseline_income = np.maximum(baseline_income.values, 1)
-    capped_reform_income = (
-        np.maximum(reform_income.values, 1) + absolute_change
-    )
-    income_change = (
-        capped_reform_income - capped_baseline_income
-    ) / capped_baseline_income
-
-    # Within each decile, calculate the percentage of people who:
-    # 1. Gained more than 5% of their income
-    # 2. Gained between 0% and 5% of their income
-    # 3. Had no change in income
-    # 3. Lost between 0% and 5% of their income
-    # 4. Lost more than 5% of their income
-
-    outcome_groups = {}
-    all_outcomes = {}
-    BOUNDS = [-np.inf, -0.05, -1e-3, 1e-3, 0.05, np.inf]
-    LABELS = [
-        "Lose more than 5%",
-        "Lose less than 5%",
-        "No change",
-        "Gain less than 5%",
-        "Gain more than 5%",
-    ]
-    for lower, upper, label in zip(BOUNDS[:-1], BOUNDS[1:], LABELS):
-        outcome_groups[label] = []
-        for i in range(1, 11):
-            in_decile = decile == i
-            in_group = (income_change > lower) & (income_change <= upper)
-            in_both = in_decile & in_group
-            outcome_groups[label].append(
-                float(people[in_both].sum() / people[in_decile].sum())
-            )
-        all_outcomes[label] = sum(outcome_groups[label]) / 10
-    return dict(deciles=outcome_groups, all=all_outcomes)
diff --git a/policyengine/outputs/macro/comparison/winners/wealth_decile.py b/policyengine/outputs/macro/comparison/winners/wealth_decile.py
deleted file mode 100644
index 900d7b60..00000000
--- a/policyengine/outputs/macro/comparison/winners/wealth_decile.py
+++ /dev/null
@@ -1,88 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from microdf import MicroSeries
-import numpy as np
-
-
-def wealth_decile(simulation: "Simulation"):
-    """Calculate the impact of the reform on wealth deciles.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-
-    Returns:
-        dict: A dictionary containing the impact details with the following keys:
-            - deciles (dict): A dictionary with keys representing outcome labels and values as lists of percentages for each decile.
-            - all (dict): A dictionary with keys representing outcome labels and values as overall percentages.
-    """
-    if simulation.country == "us":
-        return {}
-    baseline = simulation.calculate("macro/baseline")
-    reform = simulation.calculate("macro/reform")
-    baseline["household"]["finance"] = simulation.calculate(
-        "macro/baseline/household/finance", include_arrays=True
-    )
-    baseline["household"]["demographics"] = simulation.calculate(
-        "macro/baseline/household/demographics", include_arrays=True
-    )
-    reform["household"]["finance"] = simulation.calculate(
-        "macro/reform/household/finance", include_arrays=True
-    )
-    reform["household"]["demographics"] = simulation.calculate(
-        "macro/reform/household/demographics", include_arrays=True
-    )
-
-    baseline_income = MicroSeries(
-        baseline["household"]["finance"]["household_net_income"],
-        weights=baseline["household"]["demographics"]["household_weight"],
-    )
-    reform_income = MicroSeries(
-        reform["household"]["finance"]["household_net_income"],
-        weights=baseline_income.weights,
-    )
-    people = MicroSeries(
-        baseline["household"]["demographics"]["household_count_people"],
-        weights=baseline_income.weights,
-    )
-    decile = MicroSeries(
-        baseline["household"]["finance"]["wealth_decile"]
-    ).values
-    absolute_change = (reform_income - baseline_income).values
-    capped_baseline_income = np.maximum(baseline_income.values, 1)
-    capped_reform_income = (
-        np.maximum(reform_income.values, 1) + absolute_change
-    )
-    income_change = (
-        capped_reform_income - capped_baseline_income
-    ) / capped_baseline_income
-
-    # Within each decile, calculate the percentage of people who:
-    # 1. Gained more than 5% of their income
-    # 2. Gained between 0% and 5% of their income
-    # 3. Had no change in income
-    # 3. Lost between 0% and 5% of their income
-    # 4. Lost more than 5% of their income
-
-    outcome_groups = {}
-    all_outcomes = {}
-    BOUNDS = [-np.inf, -0.05, -1e-3, 1e-3, 0.05, np.inf]
-    LABELS = [
-        "Lose more than 5%",
-        "Lose less than 5%",
-        "No change",
-        "Gain less than 5%",
-        "Gain more than 5%",
-    ]
-    for lower, upper, label in zip(BOUNDS[:-1], BOUNDS[1:], LABELS):
-        outcome_groups[label] = []
-        for i in range(1, 11):
-            in_decile = decile == i
-            in_group = (income_change > lower) & (income_change <= upper)
-            in_both = in_decile & in_group
-            outcome_groups[label].append(
-                float(people[in_both].sum() / people[in_decile].sum())
-            )
-        all_outcomes[label] = sum(outcome_groups[label]) / 10
-    return dict(deciles=outcome_groups, all=all_outcomes)
diff --git a/policyengine/outputs/macro/single/__init__.py b/policyengine/outputs/macro/single/__init__.py
index 43a4592e..7964a71a 100644
--- a/policyengine/outputs/macro/single/__init__.py
+++ b/policyengine/outputs/macro/single/__init__.py
@@ -1 +1 @@
-from .single import calculate_single_macro_scenario
+from .single import calculate_single_economy
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/gov/__init__.py b/policyengine/outputs/macro/single/gov/__init__.py
deleted file mode 100644
index ce6cd002..00000000
--- a/policyengine/outputs/macro/single/gov/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-from .gov import calculate_gov
diff --git a/policyengine/outputs/macro/single/gov/balance.py b/policyengine/outputs/macro/single/gov/balance.py
deleted file mode 100644
index f59246ad..00000000
--- a/policyengine/outputs/macro/single/gov/balance.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-
-
-def calculate_balance(simulation: "Simulation") -> dict:
-    sim = simulation.selected_sim
-    if simulation.country == "uk":
-        total_tax = sim.calculate("gov_tax").sum()
-        total_spending = sim.calculate("gov_spending").sum()
-        total_state_tax = 0
-    elif simulation.country == "us":
-        total_tax = sim.calculate("household_tax").sum()
-        total_spending = sim.calculate("household_benefits").sum()
-        total_state_tax = sim.calculate("household_state_income_tax").sum()
-    return {
-        "total_tax": total_tax,
-        "total_spending": total_spending,
-        "total_state_tax": total_state_tax,
-    }
diff --git a/policyengine/outputs/macro/single/gov/budget_window.py b/policyengine/outputs/macro/single/gov/budget_window.py
deleted file mode 100644
index d1871f8a..00000000
--- a/policyengine/outputs/macro/single/gov/budget_window.py
+++ /dev/null
@@ -1,52 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-
-DEFAULT_COUNT_YEARS = 1
-
-
-def calculate_budget_window(
-    simulation: "Simulation", count_years: int = None
-) -> dict:
-    sim = simulation.selected_sim
-    current_year = simulation.time_period
-    if count_years is not None:
-        years = list(range(current_year, current_year + count_years))
-    else:
-        years = [current_year]
-    if simulation.country == "uk":
-        total_tax = [sim.calculate("gov_tax", year).sum() for year in years]
-        total_spending = [
-            sim.calculate("gov_spending", year).sum() for year in years
-        ]
-        total_state_tax = [0 for year in years]
-        total_budget = [
-            total_tax[i] - total_spending[i] for i in range(len(years))
-        ]
-        total_federal_budget = total_budget
-    elif simulation.country == "us":
-        total_tax = [
-            sim.calculate("household_tax", year).sum() for year in years
-        ]
-        total_spending = [
-            sim.calculate("household_benefits", year).sum() for year in years
-        ]
-        total_state_tax = [
-            sim.calculate("household_state_income_tax", year).sum()
-            for year in years
-        ]
-        total_budget = [
-            total_tax[i] - total_spending[i] for i in range(len(years))
-        ]
-        total_federal_budget = [
-            total_tax[i] - total_spending[i] - total_state_tax
-            for i in range(len(years))
-        ]
-    return {
-        "total_tax": total_tax,
-        "total_spending": total_spending,
-        "total_state_tax": total_state_tax,
-        "total_budget": total_budget,
-        "total_federal_budget": total_federal_budget,
-    }
diff --git a/policyengine/outputs/macro/single/gov/gov.py b/policyengine/outputs/macro/single/gov/gov.py
deleted file mode 100644
index 492dd964..00000000
--- a/policyengine/outputs/macro/single/gov/gov.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from .local_areas import calculate_local_areas
-from .balance import calculate_balance
-from .budget_window import calculate_budget_window
-from .programs import calculate_programs
-
-
-def calculate_gov(
-    simulation: "Simulation",
-) -> dict:
-    return {
-        "balance": calculate_balance(simulation),
-        "budget_window": calculate_budget_window(simulation),
-        "programs": calculate_programs(simulation),
-        "local_areas": calculate_local_areas(simulation),
-    }
diff --git a/policyengine/outputs/macro/single/gov/local_areas/__init__.py b/policyengine/outputs/macro/single/gov/local_areas/__init__.py
deleted file mode 100644
index 2a793b8e..00000000
--- a/policyengine/outputs/macro/single/gov/local_areas/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-from .local_areas import calculate_local_areas
diff --git a/policyengine/outputs/macro/single/gov/local_areas/local_areas.py b/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
deleted file mode 100644
index 2c29d394..00000000
--- a/policyengine/outputs/macro/single/gov/local_areas/local_areas.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from policyengine.outputs.macro.single.gov.local_areas.local_authorities import (
-    calculate_local_authorities,
-)
-from policyengine.outputs.macro.single.gov.local_areas.parliamentary_constituencies import (
-    calculate_parliamentary_constituencies,
-)
-
-
-def calculate_local_areas(
-    simulation: "Simulation",
-) -> dict:
-    if simulation.country != "uk":
-        return None
-
-    return {
-        "local_authorities": calculate_local_authorities(simulation),
-        "parliamentary_constituencies": calculate_parliamentary_constituencies(
-            simulation
-        ),
-    }
diff --git a/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py b/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
deleted file mode 100644
index 9bd6bfc3..00000000
--- a/policyengine/outputs/macro/single/gov/local_areas/local_authorities.py
+++ /dev/null
@@ -1,92 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from policyengine.utils.huggingface import download
-import h5py
-from microdf import MicroSeries
-import pandas as pd
-from typing import Callable
-from policyengine_core import Microsimulation
-from policyengine.utils.maps import plot_hex_map
-
-
-def calculate_local_authorities(
-    simulation,
-    metric: Callable[[Microsimulation], MicroSeries] = None,
-    chart: bool = False,
-    code_index: bool = False,
-) -> dict:
-    """Calculate the impact of the reform on parliamentary constituencies.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-        metric (Callable[[Microsimulation], [float]]): A custom function to calculate the impact. This must be called on a Microsimulation and return a float (we will call it for each constituency weight set).
-        chart (bool): Whether to return a chart or data.
-        code_index (bool): Whether to use the constituency code as the index.
-
-    Returns:
-        dict: A dictionary with the impact of the reform on parliamentary constituencies (keys=constituency names, values=metric values).
-    """
-    if metric is None:
-        metric = lambda sim: sim.calculate("household_net_income").median()
-    weights_file_path = download(
-        repo="policyengine/policyengine-uk-data",
-        repo_filename="local_authority_weights.h5",
-        local_folder=None,
-        version=None,
-    )
-    constituency_names_file_path = download(
-        repo="policyengine/policyengine-uk-data",
-        repo_filename="local_authorities_2021.csv",
-        local_folder=None,
-        version=None,
-    )
-    constituency_names = pd.read_csv(constituency_names_file_path)
-
-    with h5py.File(weights_file_path, "r") as f:
-        weights = f[str(simulation.time_period)][...]
-
-    result = {}
-
-    sim = simulation.selected_sim
-    original_hh_weight = sim.calculate("household_weight").values
-
-    for constituency_id in range(weights.shape[0]):
-        sim.set_input(
-            "household_weight",
-            sim.default_calculation_period,
-            weights[constituency_id],
-        )
-        sim.get_holder("person_weight").delete_arrays(
-            sim.default_calculation_period
-        )
-        sim.get_holder("benunit_weight").delete_arrays(
-            sim.default_calculation_period
-        )
-        calculation_result = metric(sim)
-        code = constituency_names.code.iloc[constituency_id]
-        result[constituency_names.set_index("code").loc[code]["name"]] = (
-            calculation_result
-        )
-
-    sim.get_holder("person_weight").delete_arrays(
-        sim.default_calculation_period
-    )
-    sim.get_holder("benunit_weight").delete_arrays(
-        sim.default_calculation_period
-    )
-    sim.set_input(
-        "household_weight", sim.default_calculation_period, original_hh_weight
-    )
-
-    if chart:
-        return plot_hex_map(result, "local_authorities")
-
-    if code_index:
-        return {
-            constituency_names.set_index("name").loc[name]["code"]: value
-            for name, value in result.items()
-        }
-
-    return result
diff --git a/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py b/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
deleted file mode 100644
index 1fc63e3f..00000000
--- a/policyengine/outputs/macro/single/gov/local_areas/parliamentary_constituencies.py
+++ /dev/null
@@ -1,95 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from policyengine.utils.huggingface import download
-import h5py
-from microdf import MicroSeries
-import pandas as pd
-from typing import Callable
-from policyengine_core import Microsimulation
-from policyengine.utils.maps import plot_hex_map
-
-
-def calculate_parliamentary_constituencies(
-    simulation: "Simulation",
-    metric: Callable[[Microsimulation], MicroSeries] = None,
-    chart: bool = False,
-    code_index: bool = False,
-) -> dict:
-    """Calculate the impact of the reform on parliamentary constituencies.
-
-    Args:
-        simulation (Simulation): The simulation for which the impact is to be calculated.
-        metric (Callable[[Microsimulation], [float]]): A custom function to calculate the impact. This must be called on a Microsimulation and return a float (we will call it for each constituency weight set).
-        chart (bool): Whether to return a chart or data.
-        code_index (bool): Whether to use the constituency code as the index.
-
-    Returns:
-        dict: A dictionary with the impact of the reform on parliamentary constituencies (keys=constituency names, values=metric values).
-    """
-    if not simulation.options.get("include_constituencies"):
-        return {}
-
-    if metric is None:
-        metric = lambda sim: sim.calculate("household_net_income").median()
-    weights_file_path = download(
-        repo="policyengine/policyengine-uk-data",
-        repo_filename="parliamentary_constituency_weights.h5",
-        local_folder=None,
-        version=None,
-    )
-    constituency_names_file_path = download(
-        repo="policyengine/policyengine-uk-data",
-        repo_filename="constituencies_2024.csv",
-        local_folder=None,
-        version=None,
-    )
-    constituency_names = pd.read_csv(constituency_names_file_path)
-
-    with h5py.File(weights_file_path, "r") as f:
-        weights = f[str(simulation.time_period)][...]
-
-    result = {}
-
-    sim = simulation.selected_sim
-    original_hh_weight = sim.calculate("household_weight").values
-
-    for constituency_id in range(weights.shape[0]):
-        sim.set_input(
-            "household_weight",
-            sim.default_calculation_period,
-            weights[constituency_id],
-        )
-        sim.get_holder("person_weight").delete_arrays(
-            sim.default_calculation_period
-        )
-        sim.get_holder("benunit_weight").delete_arrays(
-            sim.default_calculation_period
-        )
-        calculation_result = metric(sim)
-        code = constituency_names.code.iloc[constituency_id]
-        result[constituency_names.set_index("code").loc[code]["name"]] = (
-            calculation_result
-        )
-
-    sim.get_holder("person_weight").delete_arrays(
-        sim.default_calculation_period
-    )
-    sim.get_holder("benunit_weight").delete_arrays(
-        sim.default_calculation_period
-    )
-    sim.set_input(
-        "household_weight", sim.default_calculation_period, original_hh_weight
-    )
-
-    if chart:
-        return plot_hex_map(result, "parliamentary_constituencies")
-
-    if code_index:
-        return {
-            constituency_names.set_index("name").loc[name]["code"]: value
-            for name, value in result.items()
-        }
-
-    return result
diff --git a/policyengine/outputs/macro/single/gov/programs.py b/policyengine/outputs/macro/single/gov/programs.py
deleted file mode 100644
index 9eed4075..00000000
--- a/policyengine/outputs/macro/single/gov/programs.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from dataclasses import dataclass
-
-
-@dataclass
-class UKProgram:
-    name: str
-    is_positive: bool
-
-
-class UKPrograms:
-    PROGRAMS = [
-        UKProgram("income_tax", True),
-        UKProgram("national_insurance", True),
-        UKProgram("vat", True),
-        UKProgram("council_tax", True),
-        UKProgram("fuel_duty", True),
-        UKProgram("tax_credits", False),
-        UKProgram("universal_credit", False),
-        UKProgram("child_benefit", False),
-        UKProgram("state_pension", False),
-        UKProgram("pension_credit", False),
-        UKProgram("ni_employer", True),
-    ]
-
-
-def calculate_programs(simulation: "Simulation") -> dict:
-    if simulation.country == "uk":
-        return {
-            program.name: simulation.selected_sim.calculate(
-                program.name, map_to="household"
-            ).sum()
-            * (1 if program.is_positive else -1)
-            for program in UKPrograms.PROGRAMS
-        }
-    else:
-        return {}
diff --git a/policyengine/outputs/macro/single/household/__init__.py b/policyengine/outputs/macro/single/household/__init__.py
index 4e4ad369..db0309f9 100644
--- a/policyengine/outputs/macro/single/household/__init__.py
+++ b/policyengine/outputs/macro/single/household/__init__.py
@@ -1 +1 @@
-from .household import calculate_household
+from .household import calculate_single_economy_household_sector, SingleEconomyHouseholdSector
diff --git a/policyengine/outputs/macro/single/household/demographics.py b/policyengine/outputs/macro/single/household/demographics.py
index 5e5e40f4..51f64544 100644
--- a/policyengine/outputs/macro/single/household/demographics.py
+++ b/policyengine/outputs/macro/single/household/demographics.py
@@ -1,12 +1,32 @@
 import typing
-
+from typing import List
+from pydantic import BaseModel, Field
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
+from microdf import MicroSeries
+
+class SingleEconomyDemographics(BaseModel):
+    household_count_people: List[int] = Field(..., description="Number of people in each household")
+    person_weight: List[float] = Field(..., description="Weight of each person")
+    household_weight: List[float] = Field(..., description="Weight of each household")
+    total_households: int = Field(..., description="Total number of households")
+    is_male: List[bool] = Field(..., description="Gender indicator for each person")
+    age: List[int] = Field(..., description="Age of each person")
+    race: typing.Optional[List[str]] = Field(None, description="Race of each person, if available")
 
 
 def calculate_demographics(
-    simulation: "Simulation", include_arrays: bool = False
-) -> dict:
+    simulation: "Simulation",
+) -> SingleEconomyDemographics:
+    """
+    Calculate and return demographic information for a given simulation.
+
+    Args:
+        simulation (Simulation): The simulation object containing the selected simulation data.
+
+    Returns:
+        SingleEconomyDemographics: An object containing demographic information.
+    """
     sim = simulation.selected_sim
     household_count_people = (
         sim.calculate("household_count_people").astype(int).tolist()
@@ -19,18 +39,13 @@ def calculate_demographics(
     else:
         race = None
     age = sim.calculate("age").astype(int).tolist()
-    result = {
-        "household_count_people": household_count_people,
-        "person_weight": person_weight,
-        "household_weight": household_weight,
-        "total_households": sum(household_weight),
-        "is_male": is_male,
-        "age": age,
-        "race": race,
-    }
-    if not include_arrays:
-        return {
-            "total_households": result["total_households"],
-        }
-    else:
-        return result
+    total_households = int(sum(household_weight))
+    return SingleEconomyDemographics(
+        household_count_people=household_count_people,
+        person_weight=person_weight,
+        household_weight=household_weight,
+        total_households=total_households,
+        is_male=is_male,
+        age=age,
+        race=race,
+    )
diff --git a/policyengine/outputs/macro/single/household/finance.py b/policyengine/outputs/macro/single/household/finance.py
index 7604cdc9..4918b4d9 100644
--- a/policyengine/outputs/macro/single/household/finance.py
+++ b/policyengine/outputs/macro/single/household/finance.py
@@ -3,10 +3,43 @@
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 
+from pydantic import BaseModel, Field
+
+class SingleEconomyFinanceOutput(BaseModel):
+    total_net_income: float = Field(..., description="Total net income of the household")
+    total_market_income: float = Field(..., description="Total market income of the household")
+    total_tax: float = Field(..., description="Total tax paid by the household")
+    total_benefits: float = Field(..., description="Total benefits received by the household")
+    employment_income_hh: typing.List[float] = Field(..., description="Employment income of the household")
+    self_employment_income_hh: typing.List[float] = Field(..., description="Self-employment income of the household")
+    household_net_income: typing.List[float] = Field(..., description="Net income of the household")
+    equiv_household_net_income: typing.List[float] = Field(..., description="Equivalized net income of the household")
+    household_income_decile: typing.List[int] = Field(..., description="Income decile of the household")
+    household_market_income: typing.List[float] = Field(..., description="Market income of the household")
+    wealth: typing.Optional[typing.List[float]] = Field(None, description="Wealth of the household")
+    wealth_decile: typing.Optional[typing.List[int]] = Field(None, description="Wealth decile of the household")
+    in_poverty: typing.List[bool] = Field(..., description="Poverty status of the household")
+    person_in_poverty: typing.List[bool] = Field(..., description="Poverty status of individuals in the household")
+    person_in_deep_poverty: typing.List[bool] = Field(..., description="Deep poverty status of individuals in the household")
+    poverty_gap: float = Field(..., description="Poverty gap of the household")
+    deep_poverty_gap: float = Field(..., description="Deep poverty gap of the household")
+    poverty_rate: float = Field(..., description="Poverty rate of the household")
+    deep_poverty_rate: float = Field(..., description="Deep poverty rate of the household")
+
 
 def calculate_finance(
-    simulation: "Simulation", include_arrays: bool = False
-) -> dict:
+    simulation: "Simulation",
+) -> SingleEconomyFinanceOutput:
+    """
+    Calculate various financial metrics for a given simulation.
+
+    Args:
+        simulation (Simulation): The simulation object containing the data.
+
+    Returns:
+        FinanceOutput: An object containing various financial metrics.
+
+    """
     sim = simulation.selected_sim
 
     total_net_income = sim.calculate("household_net_income").sum()
@@ -15,13 +48,11 @@ def calculate_finance(
     total_benefits = sim.calculate("household_benefits").sum()
     employment_income_hh = (
         sim.calculate("employment_income", map_to="household")
-        .astype(float)
-        .tolist()
+        .astype(float).tolist()
     )
     self_employment_income_hh = (
         sim.calculate("self_employment_income", map_to="household")
-        .astype(float)
-        .tolist()
+        .astype(float).tolist()
     )
     household_net_income = (
         sim.calculate("household_net_income").astype(float).tolist()
@@ -39,7 +70,7 @@ def calculate_finance(
         wealth = sim.calculate("total_wealth")
         household_count_people = sim.calculate("household_count_people").values
         wealth.weights *= household_count_people
-        wealth_decile = wealth.decile_rank().clip(1, 10).astype(int).tolist()
+        wealth_decile = wealth.decile_rank().clip(1, 10).astype(int)
         wealth = wealth.astype(float).tolist()
     else:
         wealth = None
@@ -60,33 +91,24 @@ def calculate_finance(
         "in_deep_poverty", map_to="person"
     ).mean()
 
-    result = {
-        "total_net_income": total_net_income,
-        "total_market_income": total_market_income,
-        "total_tax": total_tax,
-        "total_benefits": total_benefits,
-        "employment_income_hh": employment_income_hh,
-        "self_employment_income_hh": self_employment_income_hh,
-        "household_net_income": household_net_income,
-        "equiv_household_net_income": equiv_household_net_income,
-        "household_income_decile": household_income_decile,
-        "household_market_income": household_market_income,
-        "wealth": wealth,
-        "wealth_decile": wealth_decile,
-        "in_poverty": in_poverty,
-        "person_in_poverty": person_in_poverty,
-        "person_in_deep_poverty": person_in_deep_poverty,
-        "poverty_gap": poverty_gap,
-        "deep_poverty_gap": deep_poverty_gap,
-        "poverty_rate": poverty_rate,
-        "deep_poverty_rate": deep_poverty_rate,
-    }
-
-    if not include_arrays:
-        return {
-            key: value
-            for key, value in result.items()
-            if not isinstance(value, list)
-        }
-    else:
-        return result
+    return SingleEconomyFinanceOutput(
+        total_net_income=total_net_income,
+        total_market_income=total_market_income,
+        total_tax=total_tax,
+        total_benefits=total_benefits,
+        employment_income_hh=employment_income_hh,
+        self_employment_income_hh=self_employment_income_hh,
+        household_net_income=household_net_income,
+        equiv_household_net_income=equiv_household_net_income,
+        household_income_decile=household_income_decile,
+        household_market_income=household_market_income,
+        wealth=wealth,
+        wealth_decile=wealth_decile,
+        in_poverty=in_poverty,
+        person_in_poverty=person_in_poverty,
+        person_in_deep_poverty=person_in_deep_poverty,
+        poverty_gap=poverty_gap,
+        deep_poverty_gap=deep_poverty_gap,
+        poverty_rate=poverty_rate,
+        deep_poverty_rate=deep_poverty_rate,
+    )
diff --git a/policyengine/outputs/macro/single/household/household.py b/policyengine/outputs/macro/single/household/household.py
index 704e9aa8..6aa4224f 100644
--- a/policyengine/outputs/macro/single/household/household.py
+++ b/policyengine/outputs/macro/single/household/household.py
@@ -2,20 +2,33 @@
 
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
-from .demographics import calculate_demographics
-from .finance import calculate_finance
-from .income_distribution import calculate_income_distribution
-from .inequality import calculate_inequality
-from .labor_supply import calculate_labor_supply
+from .demographics import calculate_demographics, SingleEconomyDemographics
+from .finance import calculate_finance, SingleEconomyFinanceOutput
+from .inequality import calculate_inequality, SingleEconomyInequality
+from .labor_supply import calculate_labor_supply, SingleEconomyLaborSupply
+from pydantic import BaseModel, Field
 
+class SingleEconomyHouseholdSector(BaseModel):
+    demographics: SingleEconomyDemographics = Field(..., description="Demographics of the household sector")
+    finance: SingleEconomyFinanceOutput = Field(..., description="Finance variables of the household sector")
+    inequality: SingleEconomyInequality = Field(..., description="Inequality of the household sector")
+    labor_supply: SingleEconomyLaborSupply = Field(..., description="Labor supply variables of the household sector")
 
-def calculate_household(
+def calculate_single_economy_household_sector(
     simulation: "Simulation",
-) -> dict:
-    return {
-        "demographics": calculate_demographics(simulation),
-        "finance": calculate_finance(simulation),
-        "income_distribution": calculate_income_distribution(simulation),
-        "inequality": calculate_inequality(simulation),
-        "labor_supply": calculate_labor_supply(simulation),
-    }
+) -> SingleEconomyHouseholdSector:
+    """
+    Calculate and return household sector variables for a given simulation.
+
+    Args:
+        simulation (Simulation): The simulation object containing the selected simulation data.
+
+    Returns:
+        SingleEconomyHouseholdSector: An object containing demographic, finance, inequality, and labor supply variables for the household sector.
+    """
+    return SingleEconomyHouseholdSector(
+        demographics=calculate_demographics(simulation),
+        finance=calculate_finance(simulation),
+        inequality=calculate_inequality(simulation),
+        labor_supply=calculate_labor_supply(simulation),
+    )
diff --git a/policyengine/outputs/macro/single/household/income_distribution.py b/policyengine/outputs/macro/single/household/income_distribution.py
deleted file mode 100644
index 959244f4..00000000
--- a/policyengine/outputs/macro/single/household/income_distribution.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-import plotly.express as px
-from policyengine.utils.charts import *
-import plotly.graph_objects as go
-import pandas as pd
-
-
-def calculate_income_distribution(
-    simulation: "Simulation",
-    chart: bool = False,
-    variable: str = "household_net_income",
-) -> dict:
-    income = simulation.baseline_sim.calculate(variable)
-    income_upper = income.quantile(0.9)
-    BAND_SIZE = 5_000
-    lower_income_bands = []
-    counts = []
-    for i in range(0, int(income_upper), BAND_SIZE):
-        income_in_band = (income >= i) * (income < i + BAND_SIZE)
-        lower_income_bands.append(i)
-        counts.append(income_in_band.sum())
-
-    data = pd.Series(counts, index=lower_income_bands)
-
-    if chart:
-        return income_distribution_chart(data)
-    else:
-        return data.to_dict()
-
-
-def income_distribution_chart(data: pd.Series) -> go.Figure:
-    fig = px.bar(
-        x=data.index,
-        y=data.values,
-        labels={"x": "Income", "y": "Number of Households"},
-        color_discrete_sequence=[BLUE],
-    )
-    fig.update_layout(
-        title="Number of households by net income band",
-        xaxis_title="Household net income",
-        yaxis_title="Number of households",
-    )
-
-    # Add arrow pointing off the right and small note that 10% of households are excluded
-
-    fig.add_annotation(
-        xref="paper",
-        yref="paper",
-        x=1,
-        y=0.8,
-        text="Top 10% of households <br>not shown",
-        showarrow=True,
-        arrowhead=2,
-        # arrow pointing left
-        ax=-110,
-        ay=0,
-    )
-    return format_fig(fig)
diff --git a/policyengine/outputs/macro/single/household/inequality.py b/policyengine/outputs/macro/single/household/inequality.py
index 4b81ded4..c2714873 100644
--- a/policyengine/outputs/macro/single/household/inequality.py
+++ b/policyengine/outputs/macro/single/household/inequality.py
@@ -3,8 +3,26 @@
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 
+from pydantic import BaseModel, Field
+
+class SingleEconomyInequality(BaseModel):
+    gini: float = Field(..., description="Gini coefficient of income inequality")
+    top_10_percent_share: float = Field(..., description="Income share of the top 10 percent")
+    top_1_percent_share: float = Field(..., description="Income share of the top 1 percent")
+
+
+def calculate_inequality(simulation: "Simulation") -> SingleEconomyInequality:
+    """
+    Calculate inequality metrics for a given simulation.
+    Args:
+        simulation (Simulation): The simulation object containing the data 
+                                 and methods to perform the calculations.
+    Returns:
+        SingleEconomyInequality: An object containing the calculated Gini 
+                                 coefficient, top 10 percent income share, 
+                                 and top 1 percent income share.
+    """
 
-def calculate_inequality(simulation: "Simulation") -> dict:
     personal_hh_equiv_income = simulation.selected_sim.calculate(
         "equiv_household_net_income"
     )
@@ -28,8 +46,8 @@ def calculate_inequality(simulation: "Simulation") -> dict:
         / personal_hh_equiv_income.sum()
     )
 
-    return {
-        "gini": gini,
-        "top_10_percent_share": top_10_share,
-        "top_1_percent_share": top_1_share,
-    }
+    return SingleEconomyInequality(
+        gini=gini,
+        top_10_percent_share=top_10_share,
+        top_1_percent_share=top_1_share,
+    )
diff --git a/policyengine/outputs/macro/single/household/labor_supply.py b/policyengine/outputs/macro/single/household/labor_supply.py
index 0fec1876..9615997a 100644
--- a/policyengine/outputs/macro/single/household/labor_supply.py
+++ b/policyengine/outputs/macro/single/household/labor_supply.py
@@ -1,79 +1,79 @@
-import typing
+from typing import Optional, List
+from pydantic import BaseModel, Field
+import numpy as np
+from typing import TYPE_CHECKING
 
-if typing.TYPE_CHECKING:
+if TYPE_CHECKING:
     from policyengine import Simulation
 
+class SingleEconomyLaborSupply(BaseModel):
+    substitution_lsr: float = Field(default=0, description="Substitution labor supply response")
+    income_lsr: float = Field(default=0, description="Income labor supply response")
+    income_lsr_hh: List[float] = Field(default_factory=list, description="Household income labor supply response")
+    substitution_lsr_hh: List[float] = Field(default_factory=list, description="Household substitution labor supply response")
+    weekly_hours: float = Field(default=0, description="Weekly hours worked")
+    weekly_hours_income_effect: float = Field(default=0, description="Weekly hours worked income effect")
+    weekly_hours_substitution_effect: float = Field(default=0, description="Weekly hours substitution effect")
+    total_earnings: float = Field(..., description="Total employment and self-employment earnings")
+    total_workers: int = Field(..., description="Total number of workers")
+
+
+def has_behavioral_response(simulation: "Simulation") -> bool:
+    """Check if simulation has behavioral responses."""
+    sim = simulation.selected_sim
+    return (
+        "employment_income_behavioral_response" in sim.tax_benefit_system.variables
+        and any(sim.calculate("employment_income_behavioral_response") != 0)
+    )
 
 def calculate_labor_supply(
-    simulation: "Simulation", include_arrays: bool = False
-) -> dict:
-    if not simulation.comparison:
-        return {}
+    simulation: "Simulation", 
+) -> SingleEconomyLaborSupply:
+    """
+    Calculate labor supply response metrics.
+    
+    Args:
+        simulation (Simulation): Policy simulation object.
+    
+    Returns:
+        SingleEconomyLaborSupply: Labor supply response metrics.
+    """
     sim = simulation.selected_sim
     household_count_people = sim.calculate("household_count_people").values
-    result = {
-        "substitution_lsr": 0,
-        "income_lsr": 0,
-        "income_lsr_hh": (household_count_people * 0).astype(float).tolist(),
-        "substitution_lsr_hh": (household_count_people * 0)
-        .astype(float)
-        .tolist(),
-        "weekly_hours": 0,
-        "weekly_hours_income_effect": 0,
-        "weekly_hours_substitution_effect": 0,
-        "total_earnings": sim.calculate("employment_income").sum()
-        + sim.calculate("self_employment_income").sum(),
-        "total_workers": (sim.calculate("employment_income") > 0).sum()
-        + (sim.calculate("self_employment_income") > 0).sum(),
-    }
 
+    # Initialize base metrics
+    labor_supply = SingleEconomyLaborSupply(
+        income_lsr_hh=(household_count_people * 0).astype(float).tolist(),
+        substitution_lsr_hh=(household_count_people * 0).astype(float).tolist(),
+        total_earnings=sim.calculate("employment_income").sum() + 
+                      sim.calculate("self_employment_income").sum(),
+        total_workers=int((sim.calculate("employment_income") > 0).sum() + 
+                     (sim.calculate("self_employment_income") > 0).sum()),
+    )
+
+    # Update behavioral response metrics if available
     if has_behavioral_response(simulation):
-        result.update(
-            {
-                "substitution_lsr": sim.calculate(
-                    "substitution_elasticity_lsr"
-                ).sum(),
-                "income_lsr": sim.calculate("income_elasticity_lsr").sum(),
-                "income_lsr_hh": sim.calculate(
-                    "income_elasticity_lsr", map_to="household"
-                )
-                .astype(float)
-                .tolist(),
-                "substitution_lsr_hh": sim.calculate(
-                    "substitution_elasticity_lsr", map_to="household"
-                )
-                .astype(float)
-                .tolist(),
-            }
+        labor_supply.substitution_lsr = sim.calculate("substitution_elasticity_lsr").sum()
+        labor_supply.income_lsr = sim.calculate("income_elasticity_lsr").sum()
+        labor_supply.income_lsr_hh = (
+            sim.calculate("income_elasticity_lsr", map_to="household")
+            .astype(float)
+        )
+        labor_supply.substitution_lsr_hh = (
+            sim.calculate("substitution_elasticity_lsr", map_to="household")
+            .astype(float)
         )
 
-        if simulation.country == "us":
-            result.update(
-                {
-                    "weekly_hours": sim.calculate("weekly_hours_worked").sum(),
-                    "weekly_hours_income_effect": sim.calculate(
-                        "weekly_hours_worked_behavioural_response_income_elasticity"
-                    ).sum(),
-                    "weekly_hours_substitution_effect": sim.calculate(
-                        "weekly_hours_worked_behavioural_response_substitution_elasticity"
-                    ).sum(),
-                }
-            )
-
-    if not include_arrays:
-        return {
-            key: value
-            for key, value in result.items()
-            if not isinstance(value, list)
-        }
-    else:
-        return result
-
+    # Update US-specific metrics
+    if simulation.country == "us":
+        labor_supply.weekly_hours = sim.calculate("weekly_hours_worked").sum()
+        labor_supply.weekly_hours_income_effect = (
+            sim.calculate("weekly_hours_worked_behavioural_response_income_elasticity")
+            .sum()
+        )
+        labor_supply.weekly_hours_substitution_effect = (
+            sim.calculate("weekly_hours_worked_behavioural_response_substitution_elasticity")
+            .sum()
+        )
 
-def has_behavioral_response(simulation):
-    sim = simulation.selected_sim
-    return (
-        "employment_income_behavioral_response"
-        in sim.tax_benefit_system.variables
-        and any(sim.calculate("employment_income_behavioral_response") != 0)
-    )
+    return labor_supply
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/single.py b/policyengine/outputs/macro/single/single.py
index 87bf5330..6cb60699 100644
--- a/policyengine/outputs/macro/single/single.py
+++ b/policyengine/outputs/macro/single/single.py
@@ -1,15 +1,15 @@
-import typing
+from typing import TYPE_CHECKING
+from pydantic import BaseModel
 
-if typing.TYPE_CHECKING:
+if TYPE_CHECKING:
     from policyengine import Simulation
-from .gov import calculate_gov
-from .household import calculate_household
 
+from .household import calculate_single_economy_household_sector, SingleEconomyHouseholdSector
 
-def calculate_single_macro_scenario(
-    simulation: "Simulation",
-) -> dict:
-    return {
-        "gov": calculate_gov(simulation),
-        "household": calculate_household(simulation),
-    }
+class SingleEconomy(BaseModel):
+    household: SingleEconomyHouseholdSector
+
+def calculate_single_economy(sim: "Simulation") -> SingleEconomy:
+    return SingleEconomy(
+        household=calculate_single_economy_household_sector(sim),
+    )
\ No newline at end of file
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index 548064af..82179e10 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -9,11 +9,15 @@
 import h5py
 from pathlib import Path
 from typing import Literal
+from policyengine.utils.typing import add_methods
+from policyengine.outputs.macro.single import calculate_single_economy
 
-from .outputs.macro.single import calculate_single_macro_scenario
-from .outputs.macro.comparison import calculate_macro_comparison
+methods_to_add = [
+    calculate_single_economy,
+]
 
 
+@add_methods(methods_to_add)
 class Simulation:
     """The top-level class through which all PE usage is carried out."""
 
@@ -23,7 +27,7 @@ class Simulation:
     """The type of simulation being run (macro or household)."""
     data: dict | str | Dataset
     """The dataset being used for the simulation."""
-    time_period: str | None
+    time_period: str | int
     """The time period for the simulation. Years are applicable."""
     baseline: dict | None
     """The baseline simulation inputs."""
@@ -38,8 +42,8 @@ class Simulation:
     """The tax-benefit simulation for the baseline scenario."""
     reformed_sim: CountrySimulation | None = None
     """The tax-benefit simulation for the reformed scenario. None if no reform has been configured"""
-    selected_sim: CountrySimulation | None = None
-    """The selected simulation for the current calculation. None if not a reform."""
+    selected_sim: CountrySimulation
+    """The selected simulation for the current calculation."""
     verbose: bool = False
     """Whether to print out progress messages."""
 
@@ -48,7 +52,7 @@ def __init__(
         country: Literal["uk", "us"],
         scope: Literal["macro", "household"],
         data: str | dict | None = None,
-        time_period: str | None = Literal[
+        time_period: str | int = Literal[
             2024, 2025, 2026, 2027, 2028, 2029, 2030
         ],
         reform: dict | None = None,
@@ -264,8 +268,6 @@ def _apply_region_to_simulation(
                 with h5py.File(weights_file_path, "r") as f:
                     weights = f[str(self.time_period)][...]
 
-                simulation.calculate("household_net_income")
-
                 simulation.set_input(
                     "household_weight",
                     simulation.default_calculation_period,
@@ -299,8 +301,6 @@ def _apply_region_to_simulation(
                 with h5py.File(weights_file_path, "r") as f:
                     weights = f[str(self.time_period)][...]
 
-                simulation.calculate("household_net_income")
-
                 simulation.set_input(
                     "household_weight",
                     simulation.default_calculation_period,
@@ -310,9 +310,3 @@ def _apply_region_to_simulation(
         simulation.default_calculation_period = self.time_period
 
         return simulation
-
-    calculate_macro_comparison = calculate_macro_comparison
-    calculate_single_macro_scenario = calculate_single_macro_scenario
-
-    def calculate_macro(self):
-        return calculate_single_macro_scenario(self)
diff --git a/policyengine/utils/typing.py b/policyengine/utils/typing.py
new file mode 100644
index 00000000..1c3749d0
--- /dev/null
+++ b/policyengine/utils/typing.py
@@ -0,0 +1,27 @@
+from typing import Callable, Type, TypeVar, ParamSpec
+from functools import wraps
+
+T = TypeVar("T")
+P = ParamSpec("P")
+R = TypeVar("R")
+
+
+def add_methods(methods: list[Callable]) -> Callable[[Type[T]], Type[T]]:
+    """
+    Class decorator that adds methods to a class while preserving their metadata.
+
+    Args:
+        methods: List of functions to add as methods
+    """
+
+    def decorator(cls: Type[T]) -> Type[T]:
+        for method in methods:
+
+            @wraps(method)
+            def wrapped(self: T, *args: P.args, **kwargs: P.kwargs) -> R:
+                return method(self, *args, **kwargs)
+
+            setattr(cls, method.__name__, wrapped)
+        return cls
+
+    return decorator
diff --git a/pyproject.toml b/pyproject.toml
index 59483379..8bf5a0e2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -25,6 +25,7 @@ dev = [
     "black",
     "pytest",
     "furo",
+    "sphinx-autoapi",
     "jupyter-book",
     "yaml-changelog>=0.1.7",
     "itables",

From 17c765fea21baa0b2d7908db63bf0826623a3d0e Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Sat, 25 Jan 2025 10:41:55 +1100
Subject: [PATCH 13/32] Format

---
 .github/workflows/any_changes.yaml            | 33 +++++++
 policyengine/outputs/macro/single/__init__.py |  2 +-
 .../macro/single/household/__init__.py        |  5 +-
 .../macro/single/household/demographics.py    | 26 ++++--
 .../outputs/macro/single/household/finance.py | 79 +++++++++++-----
 .../macro/single/household/household.py       | 18 +++-
 .../macro/single/household/inequality.py      | 19 ++--
 .../macro/single/household/labor_supply.py    | 89 ++++++++++++-------
 policyengine/outputs/macro/single/single.py   |  9 +-
 9 files changed, 206 insertions(+), 74 deletions(-)
 create mode 100644 .github/workflows/any_changes.yaml

diff --git a/.github/workflows/any_changes.yaml b/.github/workflows/any_changes.yaml
new file mode 100644
index 00000000..347cf93c
--- /dev/null
+++ b/.github/workflows/any_changes.yaml
@@ -0,0 +1,33 @@
+# Workflow that runs on code changes to a pull request.
+
+name: Any changes
+on:
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  Lint:
+    runs-on: ubuntu-latest
+    steps:
+        - uses: actions/checkout@v4
+        - name: Check formatting
+          uses: "lgeiger/black-action@master"
+          with:
+            args: ". -l 79 --check"
+  Test:
+      runs-on: ubuntu-latest
+      steps:
+        - name: Checkout repo
+          uses: actions/checkout@v2
+
+        - name: Set up Python
+          uses: actions/setup-python@v2
+          with:
+            python-version: '3.10'
+            
+        - name: Install package
+          run: make install
+        
+        - name: Test documentation builds
+          run: make documentation
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/__init__.py b/policyengine/outputs/macro/single/__init__.py
index 7964a71a..6b7c1a34 100644
--- a/policyengine/outputs/macro/single/__init__.py
+++ b/policyengine/outputs/macro/single/__init__.py
@@ -1 +1 @@
-from .single import calculate_single_economy
\ No newline at end of file
+from .single import calculate_single_economy
diff --git a/policyengine/outputs/macro/single/household/__init__.py b/policyengine/outputs/macro/single/household/__init__.py
index db0309f9..a38080a1 100644
--- a/policyengine/outputs/macro/single/household/__init__.py
+++ b/policyengine/outputs/macro/single/household/__init__.py
@@ -1 +1,4 @@
-from .household import calculate_single_economy_household_sector, SingleEconomyHouseholdSector
+from .household import (
+    calculate_single_economy_household_sector,
+    SingleEconomyHouseholdSector,
+)
diff --git a/policyengine/outputs/macro/single/household/demographics.py b/policyengine/outputs/macro/single/household/demographics.py
index 51f64544..101086a2 100644
--- a/policyengine/outputs/macro/single/household/demographics.py
+++ b/policyengine/outputs/macro/single/household/demographics.py
@@ -1,18 +1,32 @@
 import typing
 from typing import List
 from pydantic import BaseModel, Field
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 from microdf import MicroSeries
 
+
 class SingleEconomyDemographics(BaseModel):
-    household_count_people: List[int] = Field(..., description="Number of people in each household")
-    person_weight: List[float] = Field(..., description="Weight of each person")
-    household_weight: List[float] = Field(..., description="Weight of each household")
-    total_households: int = Field(..., description="Total number of households")
-    is_male: List[bool] = Field(..., description="Gender indicator for each person")
+    household_count_people: List[int] = Field(
+        ..., description="Number of people in each household"
+    )
+    person_weight: List[float] = Field(
+        ..., description="Weight of each person"
+    )
+    household_weight: List[float] = Field(
+        ..., description="Weight of each household"
+    )
+    total_households: int = Field(
+        ..., description="Total number of households"
+    )
+    is_male: List[bool] = Field(
+        ..., description="Gender indicator for each person"
+    )
     age: List[int] = Field(..., description="Age of each person")
-    race: typing.Optional[List[str]] = Field(None, description="Race of each person, if available")
+    race: typing.Optional[List[str]] = Field(
+        None, description="Race of each person, if available"
+    )
 
 
 def calculate_demographics(
diff --git a/policyengine/outputs/macro/single/household/finance.py b/policyengine/outputs/macro/single/household/finance.py
index 4918b4d9..c3d519a5 100644
--- a/policyengine/outputs/macro/single/household/finance.py
+++ b/policyengine/outputs/macro/single/household/finance.py
@@ -5,26 +5,63 @@
 
 from pydantic import BaseModel, Field
 
+
 class SingleEconomyFinanceOutput(BaseModel):
-    total_net_income: float = Field(..., description="Total net income of the household")
-    total_market_income: float = Field(..., description="Total market income of the household")
-    total_tax: float = Field(..., description="Total tax paid by the household")
-    total_benefits: float = Field(..., description="Total benefits received by the household")
-    employment_income_hh: typing.List[float] = Field(..., description="Employment income of the household")
-    self_employment_income_hh: typing.List[float] = Field(..., description="Self-employment income of the household")
-    household_net_income: typing.List[float] = Field(..., description="Net income of the household")
-    equiv_household_net_income: typing.List[float] = Field(..., description="Equivalized net income of the household")
-    household_income_decile: typing.List[int] = Field(..., description="Income decile of the household")
-    household_market_income: typing.List[float] = Field(..., description="Market income of the household")
-    wealth: typing.Optional[typing.List[float]] = Field(None, description="Wealth of the household")
-    wealth_decile: typing.Optional[typing.List[int]] = Field(None, description="Wealth decile of the household")
-    in_poverty: typing.List[bool] = Field(..., description="Poverty status of the household")
-    person_in_poverty: typing.List[bool] = Field(..., description="Poverty status of individuals in the household")
-    person_in_deep_poverty: typing.List[bool] = Field(..., description="Deep poverty status of individuals in the household")
+    total_net_income: float = Field(
+        ..., description="Total net income of the household"
+    )
+    total_market_income: float = Field(
+        ..., description="Total market income of the household"
+    )
+    total_tax: float = Field(
+        ..., description="Total tax paid by the household"
+    )
+    total_benefits: float = Field(
+        ..., description="Total benefits received by the household"
+    )
+    employment_income_hh: typing.List[float] = Field(
+        ..., description="Employment income of the household"
+    )
+    self_employment_income_hh: typing.List[float] = Field(
+        ..., description="Self-employment income of the household"
+    )
+    household_net_income: typing.List[float] = Field(
+        ..., description="Net income of the household"
+    )
+    equiv_household_net_income: typing.List[float] = Field(
+        ..., description="Equivalized net income of the household"
+    )
+    household_income_decile: typing.List[int] = Field(
+        ..., description="Income decile of the household"
+    )
+    household_market_income: typing.List[float] = Field(
+        ..., description="Market income of the household"
+    )
+    wealth: typing.Optional[typing.List[float]] = Field(
+        None, description="Wealth of the household"
+    )
+    wealth_decile: typing.Optional[typing.List[int]] = Field(
+        None, description="Wealth decile of the household"
+    )
+    in_poverty: typing.List[bool] = Field(
+        ..., description="Poverty status of the household"
+    )
+    person_in_poverty: typing.List[bool] = Field(
+        ..., description="Poverty status of individuals in the household"
+    )
+    person_in_deep_poverty: typing.List[bool] = Field(
+        ..., description="Deep poverty status of individuals in the household"
+    )
     poverty_gap: float = Field(..., description="Poverty gap of the household")
-    deep_poverty_gap: float = Field(..., description="Deep poverty gap of the household")
-    poverty_rate: float = Field(..., description="Poverty rate of the household")
-    deep_poverty_rate: float = Field(..., description="Deep poverty rate of the household")
+    deep_poverty_gap: float = Field(
+        ..., description="Deep poverty gap of the household"
+    )
+    poverty_rate: float = Field(
+        ..., description="Poverty rate of the household"
+    )
+    deep_poverty_rate: float = Field(
+        ..., description="Deep poverty rate of the household"
+    )
 
 
 def calculate_finance(
@@ -48,11 +85,13 @@ def calculate_finance(
     total_benefits = sim.calculate("household_benefits").sum()
     employment_income_hh = (
         sim.calculate("employment_income", map_to="household")
-        .astype(float).tolist()
+        .astype(float)
+        .tolist()
     )
     self_employment_income_hh = (
         sim.calculate("self_employment_income", map_to="household")
-        .astype(float).tolist()
+        .astype(float)
+        .tolist()
     )
     household_net_income = (
         sim.calculate("household_net_income").astype(float).tolist()
diff --git a/policyengine/outputs/macro/single/household/household.py b/policyengine/outputs/macro/single/household/household.py
index 6aa4224f..4ccd515d 100644
--- a/policyengine/outputs/macro/single/household/household.py
+++ b/policyengine/outputs/macro/single/household/household.py
@@ -8,11 +8,21 @@
 from .labor_supply import calculate_labor_supply, SingleEconomyLaborSupply
 from pydantic import BaseModel, Field
 
+
 class SingleEconomyHouseholdSector(BaseModel):
-    demographics: SingleEconomyDemographics = Field(..., description="Demographics of the household sector")
-    finance: SingleEconomyFinanceOutput = Field(..., description="Finance variables of the household sector")
-    inequality: SingleEconomyInequality = Field(..., description="Inequality of the household sector")
-    labor_supply: SingleEconomyLaborSupply = Field(..., description="Labor supply variables of the household sector")
+    demographics: SingleEconomyDemographics = Field(
+        ..., description="Demographics of the household sector"
+    )
+    finance: SingleEconomyFinanceOutput = Field(
+        ..., description="Finance variables of the household sector"
+    )
+    inequality: SingleEconomyInequality = Field(
+        ..., description="Inequality of the household sector"
+    )
+    labor_supply: SingleEconomyLaborSupply = Field(
+        ..., description="Labor supply variables of the household sector"
+    )
+
 
 def calculate_single_economy_household_sector(
     simulation: "Simulation",
diff --git a/policyengine/outputs/macro/single/household/inequality.py b/policyengine/outputs/macro/single/household/inequality.py
index c2714873..1a0f8f1e 100644
--- a/policyengine/outputs/macro/single/household/inequality.py
+++ b/policyengine/outputs/macro/single/household/inequality.py
@@ -5,21 +5,28 @@
 
 from pydantic import BaseModel, Field
 
+
 class SingleEconomyInequality(BaseModel):
-    gini: float = Field(..., description="Gini coefficient of income inequality")
-    top_10_percent_share: float = Field(..., description="Income share of the top 10 percent")
-    top_1_percent_share: float = Field(..., description="Income share of the top 1 percent")
+    gini: float = Field(
+        ..., description="Gini coefficient of income inequality"
+    )
+    top_10_percent_share: float = Field(
+        ..., description="Income share of the top 10 percent"
+    )
+    top_1_percent_share: float = Field(
+        ..., description="Income share of the top 1 percent"
+    )
 
 
 def calculate_inequality(simulation: "Simulation") -> SingleEconomyInequality:
     """
     Calculate inequality metrics for a given simulation.
     Args:
-        simulation (Simulation): The simulation object containing the data 
+        simulation (Simulation): The simulation object containing the data
                                  and methods to perform the calculations.
     Returns:
-        SingleEconomyInequality: An object containing the calculated Gini 
-                                 coefficient, top 10 percent income share, 
+        SingleEconomyInequality: An object containing the calculated Gini
+                                 coefficient, top 10 percent income share,
                                  and top 1 percent income share.
     """
 
diff --git a/policyengine/outputs/macro/single/household/labor_supply.py b/policyengine/outputs/macro/single/household/labor_supply.py
index 9615997a..c2361330 100644
--- a/policyengine/outputs/macro/single/household/labor_supply.py
+++ b/policyengine/outputs/macro/single/household/labor_supply.py
@@ -6,15 +6,32 @@
 if TYPE_CHECKING:
     from policyengine import Simulation
 
+
 class SingleEconomyLaborSupply(BaseModel):
-    substitution_lsr: float = Field(default=0, description="Substitution labor supply response")
-    income_lsr: float = Field(default=0, description="Income labor supply response")
-    income_lsr_hh: List[float] = Field(default_factory=list, description="Household income labor supply response")
-    substitution_lsr_hh: List[float] = Field(default_factory=list, description="Household substitution labor supply response")
+    substitution_lsr: float = Field(
+        default=0, description="Substitution labor supply response"
+    )
+    income_lsr: float = Field(
+        default=0, description="Income labor supply response"
+    )
+    income_lsr_hh: List[float] = Field(
+        default_factory=list,
+        description="Household income labor supply response",
+    )
+    substitution_lsr_hh: List[float] = Field(
+        default_factory=list,
+        description="Household substitution labor supply response",
+    )
     weekly_hours: float = Field(default=0, description="Weekly hours worked")
-    weekly_hours_income_effect: float = Field(default=0, description="Weekly hours worked income effect")
-    weekly_hours_substitution_effect: float = Field(default=0, description="Weekly hours substitution effect")
-    total_earnings: float = Field(..., description="Total employment and self-employment earnings")
+    weekly_hours_income_effect: float = Field(
+        default=0, description="Weekly hours worked income effect"
+    )
+    weekly_hours_substitution_effect: float = Field(
+        default=0, description="Weekly hours substitution effect"
+    )
+    total_earnings: float = Field(
+        ..., description="Total employment and self-employment earnings"
+    )
     total_workers: int = Field(..., description="Total number of workers")
 
 
@@ -22,19 +39,21 @@ def has_behavioral_response(simulation: "Simulation") -> bool:
     """Check if simulation has behavioral responses."""
     sim = simulation.selected_sim
     return (
-        "employment_income_behavioral_response" in sim.tax_benefit_system.variables
+        "employment_income_behavioral_response"
+        in sim.tax_benefit_system.variables
         and any(sim.calculate("employment_income_behavioral_response") != 0)
     )
 
+
 def calculate_labor_supply(
-    simulation: "Simulation", 
+    simulation: "Simulation",
 ) -> SingleEconomyLaborSupply:
     """
     Calculate labor supply response metrics.
-    
+
     Args:
         simulation (Simulation): Policy simulation object.
-    
+
     Returns:
         SingleEconomyLaborSupply: Labor supply response metrics.
     """
@@ -44,36 +63,38 @@ def calculate_labor_supply(
     # Initialize base metrics
     labor_supply = SingleEconomyLaborSupply(
         income_lsr_hh=(household_count_people * 0).astype(float).tolist(),
-        substitution_lsr_hh=(household_count_people * 0).astype(float).tolist(),
-        total_earnings=sim.calculate("employment_income").sum() + 
-                      sim.calculate("self_employment_income").sum(),
-        total_workers=int((sim.calculate("employment_income") > 0).sum() + 
-                     (sim.calculate("self_employment_income") > 0).sum()),
+        substitution_lsr_hh=(household_count_people * 0)
+        .astype(float)
+        .tolist(),
+        total_earnings=sim.calculate("employment_income").sum()
+        + sim.calculate("self_employment_income").sum(),
+        total_workers=int(
+            (sim.calculate("employment_income") > 0).sum()
+            + (sim.calculate("self_employment_income") > 0).sum()
+        ),
     )
 
     # Update behavioral response metrics if available
     if has_behavioral_response(simulation):
-        labor_supply.substitution_lsr = sim.calculate("substitution_elasticity_lsr").sum()
+        labor_supply.substitution_lsr = sim.calculate(
+            "substitution_elasticity_lsr"
+        ).sum()
         labor_supply.income_lsr = sim.calculate("income_elasticity_lsr").sum()
-        labor_supply.income_lsr_hh = (
-            sim.calculate("income_elasticity_lsr", map_to="household")
-            .astype(float)
-        )
-        labor_supply.substitution_lsr_hh = (
-            sim.calculate("substitution_elasticity_lsr", map_to="household")
-            .astype(float)
-        )
+        labor_supply.income_lsr_hh = sim.calculate(
+            "income_elasticity_lsr", map_to="household"
+        ).astype(float)
+        labor_supply.substitution_lsr_hh = sim.calculate(
+            "substitution_elasticity_lsr", map_to="household"
+        ).astype(float)
 
     # Update US-specific metrics
     if simulation.country == "us":
         labor_supply.weekly_hours = sim.calculate("weekly_hours_worked").sum()
-        labor_supply.weekly_hours_income_effect = (
-            sim.calculate("weekly_hours_worked_behavioural_response_income_elasticity")
-            .sum()
-        )
-        labor_supply.weekly_hours_substitution_effect = (
-            sim.calculate("weekly_hours_worked_behavioural_response_substitution_elasticity")
-            .sum()
-        )
+        labor_supply.weekly_hours_income_effect = sim.calculate(
+            "weekly_hours_worked_behavioural_response_income_elasticity"
+        ).sum()
+        labor_supply.weekly_hours_substitution_effect = sim.calculate(
+            "weekly_hours_worked_behavioural_response_substitution_elasticity"
+        ).sum()
 
-    return labor_supply
\ No newline at end of file
+    return labor_supply
diff --git a/policyengine/outputs/macro/single/single.py b/policyengine/outputs/macro/single/single.py
index 6cb60699..a5138b5c 100644
--- a/policyengine/outputs/macro/single/single.py
+++ b/policyengine/outputs/macro/single/single.py
@@ -4,12 +4,17 @@
 if TYPE_CHECKING:
     from policyengine import Simulation
 
-from .household import calculate_single_economy_household_sector, SingleEconomyHouseholdSector
+from .household import (
+    calculate_single_economy_household_sector,
+    SingleEconomyHouseholdSector,
+)
+
 
 class SingleEconomy(BaseModel):
     household: SingleEconomyHouseholdSector
 
+
 def calculate_single_economy(sim: "Simulation") -> SingleEconomy:
     return SingleEconomy(
         household=calculate_single_economy_household_sector(sim),
-    )
\ No newline at end of file
+    )

From 4a3ead3ff628388f058fd477dd2c8d8e34d648c4 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Sat, 25 Jan 2025 10:43:17 +1100
Subject: [PATCH 14/32] Adjust name of action

---
 .github/workflows/any_changes.yaml | 11 ++---------
 1 file changed, 2 insertions(+), 9 deletions(-)

diff --git a/.github/workflows/any_changes.yaml b/.github/workflows/any_changes.yaml
index 347cf93c..f45934f3 100644
--- a/.github/workflows/any_changes.yaml
+++ b/.github/workflows/any_changes.yaml
@@ -7,15 +7,8 @@ on:
       - main
 
 jobs:
-  Lint:
-    runs-on: ubuntu-latest
-    steps:
-        - uses: actions/checkout@v4
-        - name: Check formatting
-          uses: "lgeiger/black-action@master"
-          with:
-            args: ". -l 79 --check"
-  Test:
+  docs:
+      name: Test documentation builds
       runs-on: ubuntu-latest
       steps:
         - name: Checkout repo

From 29f2c1a2eaca56b3cb4f56276e5fdddb8ba25e08 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 07:04:00 +1100
Subject: [PATCH 15/32] Add type hints

---
 docs/_config.yml                              |  28 -
 docs/_static/style.css                        |  15 -
 docs/_toc.yml                                 |   7 -
 docs/index.md                                 |   2 -
 docs/logo.png                                 | Bin 10188 -> 0 bytes
 docs/reference/simulation.md                  |   6 -
 policyengine/__init__.py                      |   2 +-
 policyengine/constants.py                     |   8 +-
 .../outputs/calculate_economy_comparison.py   |   8 +
 .../outputs/calculate_full_single_economy.py  | 365 +++++++++++
 policyengine/outputs/compare.py               | 567 ++++++++++++++++++
 policyengine/outputs/macro/single/__init__.py |   1 -
 .../macro/single/household/__init__.py        |   4 -
 .../macro/single/household/demographics.py    |  65 --
 .../outputs/macro/single/household/finance.py | 153 -----
 .../macro/single/household/household.py       |  44 --
 .../macro/single/household/inequality.py      |  60 --
 .../macro/single/household/labor_supply.py    | 100 ---
 policyengine/outputs/macro/single/single.py   |  20 -
 policyengine/outputs/single.py                | 365 +++++++++++
 policyengine/reforms.py                       |  29 +
 policyengine/simulation.py                    | 326 +++++-----
 policyengine/utils/typing.py                  |   7 +
 23 files changed, 1486 insertions(+), 696 deletions(-)
 delete mode 100644 docs/_config.yml
 delete mode 100644 docs/_static/style.css
 delete mode 100644 docs/_toc.yml
 delete mode 100644 docs/index.md
 delete mode 100644 docs/logo.png
 delete mode 100644 docs/reference/simulation.md
 create mode 100644 policyengine/outputs/calculate_economy_comparison.py
 create mode 100644 policyengine/outputs/calculate_full_single_economy.py
 create mode 100644 policyengine/outputs/compare.py
 delete mode 100644 policyengine/outputs/macro/single/__init__.py
 delete mode 100644 policyengine/outputs/macro/single/household/__init__.py
 delete mode 100644 policyengine/outputs/macro/single/household/demographics.py
 delete mode 100644 policyengine/outputs/macro/single/household/finance.py
 delete mode 100644 policyengine/outputs/macro/single/household/household.py
 delete mode 100644 policyengine/outputs/macro/single/household/inequality.py
 delete mode 100644 policyengine/outputs/macro/single/household/labor_supply.py
 delete mode 100644 policyengine/outputs/macro/single/single.py
 create mode 100644 policyengine/outputs/single.py
 create mode 100644 policyengine/reforms.py

diff --git a/docs/_config.yml b/docs/_config.yml
deleted file mode 100644
index a4d7bf82..00000000
--- a/docs/_config.yml
+++ /dev/null
@@ -1,28 +0,0 @@
-# _config.yml
-author: PolicyEngine
-title: PolicyEngine
-copyright: "2025"
-logo: logo.png
-
-execute:
-  execute_notebooks: force
-  stderr_output: error
-  timeout: 600
-
-repository:
-  url: https://github.com/policyengine/policyengine.py
-  branch: master
-  path_to_book: docs
-
-title: Python documentation
-
-sphinx:
-  config:
-    html_js_files:
-      - https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.js
-    html_theme: furo
-    pygments_style: default
-    html_css_files:
-      - style.css
-  extra_extensions:
-    - "sphinx.ext.autodoc"
diff --git a/docs/_static/style.css b/docs/_static/style.css
deleted file mode 100644
index acb4f2e0..00000000
--- a/docs/_static/style.css
+++ /dev/null
@@ -1,15 +0,0 @@
-@import url('https://fonts.googleapis.com/css2?family=Roboto+Serif:opsz@8..144&family=Roboto:wght@300&display=swap');
-
-
-h1, h2, h3 {
-    font-family: "Roboto";
-    font-weight: 200;
-}
-
-body {
-    font-family: "Roboto Serif";
-}
-
-.sidebar-brand-text {
-    text-align: left;
-}
\ No newline at end of file
diff --git a/docs/_toc.yml b/docs/_toc.yml
deleted file mode 100644
index 9c9fe382..00000000
--- a/docs/_toc.yml
+++ /dev/null
@@ -1,7 +0,0 @@
-format: jb-book
-root: index
-parts:
-  - caption: Reference
-    chapters:
-    - file: reference/simulation
-    - file: reference/calculate/calculate_macro_scenario.md
diff --git a/docs/index.md b/docs/index.md
deleted file mode 100644
index 080864a1..00000000
--- a/docs/index.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# PolicyEngine Python interface
-
diff --git a/docs/logo.png b/docs/logo.png
deleted file mode 100644
index 12736e4dce8158bb6ed2557a2bf9d0856811758e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 10188
zcmd5?_divC{J+^Fgp@KXD=Sg<Ohxw0$4*7|&A8U(ULy&~N*QHla}}=3y=G)bcE&Zb
z@8#OA?R(t%{_y<|z8(+by07y-ukn06U*p_J13e7}x~p^`5QyQC=6xd&h<pzCyO)Lv
z_!&6K;Sc<xeW_{g1p?8to_(JKrG8=u{&~*JNaG#|(Zjh6yr6iYrmF@5eT$_(vZDln
z1nnN(S2OWDw~FocG%>4M+(7Dak3Ok3EL!r2nD3~2_tiu%TSLinlj4$ou(w#vd2fn8
zv={V2=i{s%T15&<z=9d)sF!%%)LucK`wxfJdzfOM*okbFV0`oDz9*{~5rR(OD$MM3
zo#iL1&rf$Ppj>QsS|e;rdUcLdcSPf_49o@HO);#va{3}qa%=N+>UbY<c&tP$Rw8a8
zEOrx9cNL7s*5Lk5W}y3h)}x=ePfm~1ou#D)d)fre(^4I6E1L9Eyboe!#NFrt+pem=
z_(&+xdcgk_`l04)GM~HG*l3!(6mq-)SuM!Ek#@AQToJA_pg;IpiS_db%|S|UVy|2L
z%6Lx-k^9cZ)=6LgSX7kmk(@U58WsoMIF`j!PI^rVDy95aj%~?YR=Fjv0~c;~Ju%IK
zvfyl4`Ij+I;0*(hs*1f|N~3D)pM3bKnR!RI3g^iyiwbND>YlM3-!6fQ-CVxAd+QXv
zdrLCQR{zB*F+$;Vb_(#ljwr;k7H?#jG7dwV5ULBD$ge1JRqGNgZ10Tfx~{ufiaeYJ
z@r_XH6QMc!arP%te79p{QmUrwRW41yUktcap(fU_;QmF0+cnNbQj%GV`RU-A3|Zc*
z;Tv%y@!hA-EUz~5Brv2aHxwn5CM&Fb>*ibN=j1_~_v%2yLOND9KQc``t+Nh?EZgw-
zV5u=TL#W92TaLYLgxxt?n^kN~vBF!8UIn|ol3BjH8gMn%_H!VbIL%{kYtZLjzMAE#
zV5Y?nBQS3}k1dHW(y3FRgV+)H1k6~RQgUnNXlX0xg&OFnmD+=N)jMc!`$dDY*)yNw
z+IXl~Nhg|<hi(s%YA{^fhWFpIt6IB{^PYPR0tF8jJ>xy)vh7f!i*{!vevP#21M3~X
z9yfdTv{K_WJG>s^<>S9<NQ~aOa?Ya1w6N?FcZ==jING}`#2(RgC+PuklEMsX>Q;gI
zYTmiHDSI@d{dVL}_nh>WJP7278l&Ev;y`+$zwXVC=+Z>j;}$~qMozwFt?-^u3t*cX
zVV@2ISMxw(bGFX{K|ZE9OMA)<70Id2lN_eEMxo6w{VmD%M=)v!TTv#z_SP<0CaKoT
zpFE%46gvk3l@5PZg|(OOOUmTl-YcpuL)XMC*P0~Tm;WgynsoIE5O|$ovhCb#L6EsU
zS7Zq!g%MVFmz(a2R@vhXh`sE4A$ZyI1e*&W(64}>=jR$W()xF_P|Ee4d%R7iKSYcn
z&<ex5U0lI?h4W;0CJL<O63dF~m5<S!jH@#mUAB;1)#FkZr~_JPCXbq&mOJ&*fL~l%
z!*#Y+CQqm*ajX8!w=RCXJWMw@^j1d}>bE9d;L~o8UF*ucE`y&)0@ePUu^TNKd=-=K
ztL(Skw+P1wQ92WXWvFV-fr6{A^0e3GXc;D{@6Wtnh{&56`sg_-oW-eo2Q|0IKe+u>
zl*65k%Qa1UI!4VM1ma~XrJ0+wv)mamb+hGB9-k^91Pvx$f1hLi&`#&ef|=wB{`&Yx
z+MR#Ww@PW}BGApgyCRn_2F;h^n#c8e9@iMZ6DY7uJK)d}loZ;gy{LO-y_Hu61d97u
zMY*|Qvfeu^%nD00^oJsw73P)BITv99^T*>Pl#RUe4OppaZ?`jmKy!tVkO`?It%*mj
zV-BaLMV_auvNvtxxuRfVKaCyp4UVb*$>k@7SOp?;R}>;e(gql?E2ljL*JXCJbGfZ4
zI3vKu?{2pgM+N2^#LrYA$S2w70K(lI9#$34QHbP!>>i;{jQ+hs#4_$y9bUH`=$?4}
zUoX$``YCk#@H$cBv_a8a+BVmPtZ}@>*%-!kcl7R1=}4(A%F%tVsQe+#x3VA}y7MRq
z=U?*-UYUfNA4x0f=IPGqyGzN7&HhSldp?~bykB&&8@x?L-sNOmI3D?1rek!#^4K!E
zZL&Ld%qybb%eL2wk&dy9)|H65<VDY}s(7_7cRa#{BfS4PbTJ(~tDIglzZ0%FJWoI4
zV@fwoUCWR^S;v0j@s_IAZQk0$A&vtC61w-27hdaOZ|W)SyawA1R6fWv*)hI(E$%Q&
zizTJ(``*l>*~3&p-|8Cdriv#WD3>c3BzPNhG;dnr`tbTDd7b<VJzIs2Yoqa>F(0e=
zP!KuXMYL&)S_;p)G^UbJe9FY%-4~47N=Qr&o8Xo@3sJ3_n8on1z%W?Lmtb?!i1O1C
z6~JakQ0&K~w;=Y?CVkS5y%Jw<eBAGa<mW6hjgQ_CCiXpO9N$~hPZG5tb`}UD&`ZOE
zfB5W<9%$hE>-wl!^s~0^;H3UyE0Z0GQ9n6uowv;M(aXk`b_W<0RF{5TU=-q>!c?-L
zN8u@D$!o4wHg5v??c^VG2*pvG`PZ=*lPS?X7hcSGD>7lY2ie~v%+uc<p5KF^v6{X0
zW=qElMNEFr;>I_e1Y=&VGJt}8isubbg1%+jSPb`~&1AJ(-Gy1{cE8oU`ppl-ubCT3
zul%wmP$8S_cTAG#{pndkm@xIJSf0AaKQ5Px$A<bXu0VPAP^^a%Yi>n~XPOIo#VNrx
zKp@q)F+Fo0l=4HGD8Mab+2)>x+21&Bi-5r_3hzH2x64hNKIKkMQIP1y$m2$G$2Q86
z_TrYxj^4Ai*v?Vc?h`daf7DSmpCyh#rG?6FHyHP{QkijTbnQ_OqsT3#$fj){=H_i1
z@BW{sX-S8`c|%XF1;258Tac^OeX$p<G7+H7W`n|x)lI*6xhJAxPqlFa)|kd~@8--q
zs#?lux%O4sun7>T@%E5>+@bF0`!tc}9}c$~b4+alO>Z9O8y6dqHSEV44<#&zdBfF$
zqt?m4KQ(DPJ`mdc+TB2vS7_t6)AWTWJ#P^^)42Z``tccKXmobKza)z?!>cN1KiYd}
zyz{KX`U}oaV5GC?<%1IENG%UvVhGAZO}G=1AZd{l<Pv!O;2zD9#)Vr&Mk<BL<db}$
zGqqIBoq5`s))FGzmUK=;<x&q_-IVoqbWxoM?;j=3eO2#pG%6Az6{h~%+qCg62#XUn
zuF$=B;Bp6`kLaWzWqPN{Dc!y%OC_z(P!f?}|IsJsm*E!Ia%y=hOLOR+B8x36uh1uM
z*nNFBG+O?TPu>?Yhgki9C4htzymF;$4;-?mOzbPTina8{<%OHd{b_Ui%d}0=&e@E9
z9Jrr}NA%}C$w44{m;1cF97X;4R1JE*`^E0>eIW5g$a@b95-iPv%L`%GLnda7UXDZ3
z9$@HZ8O`+mk!_~c&w{w($GhU2Aq)X5j*2xk7DFiS^;#Y~_5trt%k7QN87)7BF};?j
z&KH*XQR^PX{f}uVe^#p_Ix_fzBj+C5>EEG6)SKr`Y5r&lnEPbNuMzp0dS(iqgXgoH
zR~g3;qBz$Vn4X%Hv(dJkf$2igHFa$HS6!r&dzw>)oj#d)|7e16)JD5pUpk2Y8_gCM
z3tQ1_{KdP|KbbtesBboXHYM4Z1;pbxPo#SF*PKE}lb<?!)iQ_a6JdE#$B8O#0Yj1L
zE9;Fejx0yVBg^eoyiwPwYGZiRJ4o<lKr+oW+YKkG=2eNvz3F32OIh&z??Q8do6^e*
zi7GlX{&Pb5|M|wKNX(wRw5nn9)1JGZ_}ey|RF6JTRhDQZCy1nKCpA+Z(-3pqEQ`9!
zr^&<A4n9HWgsgmL7Q7v)wUd~-aiYV)GDK<E<@zgUG+&fA91?hResuk(sSRtlsY280
zSAVWcE!hH1YZ=bcH&mObmJ6rDc$40KnCEP{y1wA8Vqw9-0DgAHrUlt!RGZC*qfJ8_
zLZ$I#b`DLYzfGYNqh0c!3#V0|n%@iO3?C3Z;?+!a=1CqhFF6Mm_Qcvo+x@-Pg36Pp
zH9{TAo+D3?4s41g1gwrrr^R0o9-3O=Q5;WF{h;~l89w+?^%~|1?R#^yNc)4qbKvC@
zbyC3=F0$q&ss}s`_qf$d+mV+wFtr8cv=oI6lw5lJqhHfjdz#P0`yrVwm(D7kC#zdy
znnGKWDk(z#nz;gj7koLgqw70ozWZGiIMB5T^ABW$OVB_y#5%Y9wiYLQGsDP-8uiGY
zkhvc>teswYQr3X{Z(qFvy+uAb;j(-q@|QdJcP7tqk|}RQW#f8}@t-L>A_b(CfX@Aq
zgA!|6BwGs{dU$=GVd09;#DWL!wZZa?FH{qY8w&IVsx@UIu}bQzj?-!v-?j0i_K0IQ
z$S1FNpHF#P_D-d~iv&R1m%OO^GW>!IX<F76UTnXYj;LG~-C^VdRMO`eQwX!*uGbl=
z@4oL}VY*f(=71IvdIc1rPXWa2B=5Svpt!~0$GHC-_q9oD(3!a%8{dHdsp?&4^i#M^
za-kwpGOnVjD4j_o_8WPyS+wl*>hFK0AFXOLNTq#4F>FF~lnqov6GV5<`n9-pB+vSS
z@>V#6abL|nh;#-gQasMLMSRdcEI0KhP4FiQDuqN9dOFD7Sdb;%G!r<(Rf5!~6x)YP
zxNoo7-27sSt-MP<n!Ohye335iQq@D#IsMS@`{%$Gs=j0-Mq{?P*uL628zWL2y65M5
zB{=lr?dce~8*Pbvp9jc5pwLRbxXV1P#;X)&?NS346xJwz{<s{7iQ7YiD8+yDbg^(F
zWa2&|$>_@3`7rXD)E-TS<fTIv)hqA9S&}z7H{`oq8aYTei@(az9@MTq)RQFresO<m
zIwqSRQj>F4+HjI9_2m?I_&}o^lY^b{7_&g^IWP%64_vHxM+|?oxO?|}QZ^d|q0Baj
zoa)6gglEfIO0ViNT0x5M8_OHCGnpFx%V2&lu=}sW%)Toecc`ZL`HtM8<=`Rek~Wh+
zbDpf(iMtO#h3o3%iE9)>$&ssCnS~|N5e_jIz5Z!<1t64I;Xlix1MtZjsM9wi-_ry>
zN3TW8rx^OQB*yt>SBV>0cXIB%`|fnf#{8$`*l^dSXaBA>H!94pA6E;)YgsY*NQ;BD
zADBxYb*ydQJKw)pPlgg>n=g7>XDFr;ETCmd7moMNJ0R!Kyf73?nQL4zp4Xp9Yo9l@
zN($h6-g~^gi+xh=5y%(WP;uNbmVaEy_GhPje}??lq&wSKU#z<B!KDwTLDQw)yuMBc
zvwi<nfl_iYWEWSbM-gAvwB9`T<_#|&byT%&#K(2QX@J^A8%n-E8>78QS#~jpEI&H~
zogpl@gTlP@3b=4B?j@Mjew`Q#%)8aR`K-3|a_GnXQ$=mpt^s3kQSL_XwOdJLjg-ZN
zUj=rH*mR1n!e%nr4}5zPj<P#jwSWwWl{aqD@n}hk7Q3$BD_%<c5|v=MqkNuq*ifJ=
zwBc0pkuozN^@NOKvo<A2BuhuwJVdH1bn4dX?<x>~9}U-4XKCA={IlC-rqayGMSq*|
zRXB+@9bfMin=+@VfkMADzk<9kkUFxr{I1LM<&Yi#C+O3K5XBd|*!8q!)3X{l=r!9X
ze_|17vA5OE6mjcJLJ)A|=pMJfUy`CBEmLDW=cE%8kMu_;KLwQw?Jf23Plk(EN~i%r
zlS?7Bpxe?%CmUL`(i>XU;<pPFFJ!u=wj3zGtq>QugR0$~1twfuvn9ycxnMQkTa6|~
z@zO^Dbt{;;*`KhziZ)Yw;znz(+c~WdjOj!y(fifnn~!GvzNc9H$uB+8G?@Wio*rPr
zl~J)cDJqZEr2x(esl6}@?VoYO!<v;e;WqIJ-eyO3!4HebHjg|^nwKmhJAxv=yK6PI
zMu4gg{;chf&`DVua424l*ixX!-Wq;!c1F@Y-dmcVphf96w~Fax0?{gn?+<=0w=<k8
zx^6QbK+MTSerNm{*!~##Q|1`nI%6e6O`em>1vvUC%^YRQ)uVE@e6e8^bljnDNE{X4
z;Cwwk^tHQ`HJ7Pmy)v^?P}GFzpI_a+CFdh{*Y8I>udD=m3lqAKTHaYFyr<>$b&i(}
z%(rmL`x+UitJ&l2Qwf?T&ydvQh7Zg$Y?vb)nqM5ICHj=q{_a=CRPJg5`Wn!Y`G@p3
zm7$)R&OFQtbUrnlOoQ>X-sNzA#0N_r@4;$Yl9}ji?<_O@^t8zE$|yaQP`<@n;B5Q9
z*FJsRQCBN-4D<BrmQc={;L_lqM=C$73O|(I8J$OJ<W=#;OY{OGbfzN3X6TQS@BTR*
zc-Vi5^t~*ROnZb?r9gjAFQKB@0<_}rVzroJV9)_{8BjB}h3`)t7}KN(;30VPOX$6Q
z;fa-gF5B?vOPOu15O;sKCh%8<&(E{7oOr~hmIV^5Am`v}o_!@azW`nlg3A@L+WGm7
z)+E!WZx_EQ1M|nId{cw0JTC|1Ji1|Pl?-<0B)Gfou`8`aR@M>}zCVJ5134iPzjnI1
zc`6Y1vC(YiwegzG+Z~#3H)c^X0k!cNQ763Lnoz(>YI)T7_@wlQ3Pl?e_8}bCh|W9s
zc9@|=qzVvV_C2~~FjU%V+BSrE=iqEMRW$v3(<Vba*_Nn(HLkn9Bf;Aj*F8vx#t)Qr
zdGks|p2xT!!*Ii1`kq-PZOnWfE87P18E5;WC{>%+9&GMGeQtd`S~j9-y?iM|eN`Ss
z?8njEyB~S%i71uFml>^Iq72i!1z+)8G5b@U9~ICJ4SE+=BUW9(sWLxN+S}w9bmAak
z6Fa)}keT{95Hj6XuFZtE=}^~8Zoz{ddlz8a>U0nI8FwTtGK87Fgvjy&cq(8d^N;MG
zDJzC~iRwB8q-k;Dgp~H|zs2K?6-NF_PyrHwF0R1T_Dm0gVBvA-hsz^{RT=hoQX;J#
zhYu<_6l{-?@kwwXc=FfdK6aZG>EwE31x{QlUbMZd!&ne~Hc*)+y7YtGb(Np|Q3fax
zd7)h-^HCaX4JDyxDSGuu;QV)7(4s}|l$=+9;ThU)Qfx-8r@`(P20=ybfb|4IbmY!^
zj6{06oGuDjoT^eXw~IVqoSdhw52{0ieW96kl;r8e(mT}2o72n!2P8e@En}amC#bt&
z@6{9&rq({m1-+AaCvXS@mORD^W)VBfBYbw80940l=Gf-cS9`EsJcC&e9{<?wHf6Ae
zz(ZnG#-^8kl@#^fe4z^v&meV3?f1ZF*Hj!e5b|XoLERoD4^#DX7A-ufO7+nF(4xmH
z=JO?w&YW;9&TPUES*yiyx^bAb$OE?eQ!i`rlj#|!^=;;wTl|}*9;a8EQUL}jxJ>4+
zyB7oBZ?Zxi^ZA{^s$)*8K<qrJZdNwzkc#Rj2ukIfc1Kg?9G@%Jf+S#yKsO4)@v#kd
z&g4N|e4OeQrDy5gHBKT^x;6EzKvQ?`njLFb(atpDxgO_TMgu#L<`=z-x+})FQ$Dr_
z()8Z(pN^=i2@7@ua#Yo=FmqSgqJCgCc~|msk3DA(MlxhWLI`rs>X55q4W_%(#8lZp
zrgk)wqB+bu6f0<+k)!_Y{=uK&FDmTXz3Diq5@77lyh1a_urqTRFSV@dFz7nwHkXfm
z4O{r3qJN(#%7Geo;96!<=-{5=5Nho^*ltj^$Z0svLL--9=Z!{{Ah<!`9l)gj&tGDh
zXJv=?H)+|;^`BXHo>=^qQ)phtp#~iB;dl<N*RtE4U~P;&^9d0wMxYIT+<&^eKQ#&L
z?hT?&cZO`?9}@P~dBxV7KYsMdRmCR#Twd(W(C?zq`z((%`|<M9L7ma|NG8n*UhxR7
z(yKkT|GT_o5w0!pMHnOS$ku*OH$Typ=yI}8XHITojt@p2LhWHXZU=`qmDstDh*?5e
zoS<Nq>adMd^T$HINwpDqv%)sbY-7wz>K3U>c{)$lz2Rk;uls87VtI~3#5g+>)ozYX
zdxS1=fVv-~{MBARL+p9~{$NmPKteURR5a1R0mkJZB_O}1JR*sy95zFaLl_pD^AAx*
z@zIi5GZh(^vHF%qU*nJpfmIFoVM2{SDYj`~ah#C9WfXd6`WSIV7hpAz>20OtgCEqP
z^r4;WY7^m!#m)IDWz||$#hIydB`$es%~`8GVr5`odCwez=~muWgfOr=EW_B^uufC3
zoFNqQpR@{bbgVYhTlo#p+SvN4O_<_chfKc;x;Ll4V)A#WnhxDpKZVf<|CBWMu+2{g
z399k}HKc&ucyvYF_0rXob*S=x3>m8`!Z+SDxK8xD7khQNsQ6fVqN)%kG014vYjI~a
zwbu|YPq$F~2dH?M-Z~{t>KWYnT5JQW4zd<)<7iF&E?kunh~<My#AO7qox~Ua0V-XR
zLvclyEliicD%H`t?a>8brw$U18s7O6xV=9m&ZsMF#s(MjeIoT~41S*;dbbb#ZuUCq
zZkJ2(l<Q*CsSK#jdJ&jW&hAo{65o3>rc%7DIGG$^c2XZYy?7(Y)iNnnzSd0dFo5#x
zVqVh4oTd2v0w_CN%{NZ@)WSfn5;5yWGY2?(NCO}6+$-Y{5%%!ahWfA<&w#F4?l1H^
z6v@QFbEWvcw*;#f!`0-BQ`e8r9*|@j0eYvA^mcwai0%QEJ%L@Yz*1FneT<smJ2C|n
z^5Y^Y6r{sMbq^l^f`e<{XrvW(APyI+PVI^;H5wj&Q|h=fQx@>BnON-;YNmM>_PbA&
zral~<Ez_GK_Xwd)ycy70<>0ijAhWeGy?;4Uw|vabn7epy?7`{I`*s@|_+^SA55H9s
zqmyxJMXcdiu^(>&9u;&bJi6R5*Ptb`ysw5U4i-v{vhvL$sGW9cV?v*8mEu@Fmj!mk
z01Kz8*h4TU3|n;+Ybfg*K_Q_0N#p)r@t0;n0n#RQ?Y(1#S`m+??ic-G#1Rj0G;4}=
z?TrtWQgMe8C*&btMKwzCi<E7WsK6K39E#CkrQZ8s#nI}EgM}~IdoG`pR}S~y&(?e7
zTc!&`%Y@Wg<SpB@+kQTA|HF6|GqD)U5lZk~?pOJJ+)BB^7-0UnyfxNHB)FxF$(>g5
z|JqAG+c|z(Xv~Z9drD^W7pH~I!#h`+I2forZ(BgD&Z^&m754~b`b1s-n)h~~fsjlc
zR_<_;I#vczQoqct&<XjC?wMBl8?(2CcyOO}wOpz5*&ed99{1_RuN^gbxq))(AK1x8
zowf+YhDEXiPF|4|#L_<Wi9mCq@4_>aHVrqNxX@*0pCF;$7V-Am-0{+k1o1aut4)<E
z${jVl{3{aPp_Pb+M_(|rV>OTGOrTTsh`i{s!>t_XpZcJ5UK`s=L>Ng74v2-8DYq8B
z!w>hE!NmeC_Lt)A9Z;w1)Dx^=7K;(fcV}|HXetq>YS|fDnI6UHiMRyCdSCnbb@RpV
zN*k}UA$3C}6f>yd4^;Mg!_4<2faMK=s13{WNbS5%Y)Ok5-r3bUgO{$yAbRp(QJ*Qo
z9PE9c+2NLMqS(#RnUF?AX2&~=ky|tt;dEya$@zs=9*+ElKrnS8-sL<HO?$Cg#T0T@
z@$DR~iKPq8=@i0S1lh4j<hU}0Cs4K*oOT9xMss)4qowVL9;OE-ZH8p&$-g8?Zwh;;
z8Du+p;n58$+^sqU`j^)=2G-R*R=?<y^k&O`iaO4z;tSoaY7ofK6w*ae%AR9AY(19h
zoLzFX1~ZXDFz;A`=@N5;|3tGmtaV^}Z$N}I#aNJauK*_c%MEW*x>qLZDjyu;pQC|i
zLF#L<X-g<Fo$14vF4R*<^)K`!BS{_SDCrrD?rPcDR2*U=Su`vAt-F<44R~r456A=-
z0)EnYf@|dN391tC?@ZXfXK5J$^dV#E$16Q<hIPU-@5XF<wVP8cd@nu=<r^pa6c-gk
zw(qzqUZ!**(VuoC70Ho!h*{R?7;So=etPYDBKw({Pp;=l-jFlqc&&skS~zPO0XV7b
zxUI0bPMjQ^CA^aa+vnS~&&DDplj&EJxR1(ZHK&#-Rbb#RTrM(s*H2(k;U6G?tD|sW
z>+zi9o##5+L9{KZGOspW%*-*eR3tBj@9&!3#)x@TKJlywH|5JwqULr(d97`d#}E~v
zc?g+{q#*tY#LFk9#dbOHy}G%Idy@yur{TzGnZJY%u%saKLA%sG1{D9*XG5Cgv#Xhq
zI$q(^YpVB4tZQkFhXD$34h3>(K_ntf?e|*<az(JCX{G;Qr(8hAMT4Mn(jR{B{cB|O
z$X^D11%^YK-22?xd9)}ZR?C<UnA3BkQMf{LeXUIO!^Z}~!{Rm(B<rqb9kUe(0x$oT
z4JjRKYFs2T`XlpMiEwU3H8?!I%*P@i)6kgkbupP7+&BoSeM?Fub$x=(GG^OP{g31Q
zLzlOQl^@zODB76;B4#EToyQHfGKZ+_@Y9XiY5<FH)gFMtnMq!YNlDF^s1;<slXYw=
zCOTIzc1Sk&)<sbE`?FqPtN;9tdEd<XT0%~b0$RlH#uWPGV=j^-rCpcSckm>@#<|lZ
zlu^*?>kOkD-OLDKrT;Sr0YgB)Dn1^Ic_bC>qkjs~Q&QoY=Y4;srhw$qZyA+|x^fXA
zERo|Q_@{U&9A|09|GWBlClZ=wq+Zm4Fdt5$P3h3_wevzZAldCJ7-}OMe1K+RVHlxv
zq;$x%V}rT9dNiISR!D1c7Ky98y5Yl+w(=Q$mZc}SCl7-|-<ExDxov?Vs6H~_AjOYr
zowb#<Z&=@2hM{30u3hbwGyhA)dI&bW+=ZoW`z6l*EnY;3hUBMf^*qQTT-ANMIv}5I
z-fBd$-Tb!RG4z3-!t<i=!r0vk$_5`wB#DC^<C079dT;HF!*M!Jd(Wm>4(|tt{;<J7
z6m(ofNS+OAakEBEPHcXrME=*S-7_WoisJRvL~-Iv!^+<-zE=D)uUQ{+lHhbzfG`ND
zQx={{9(?WmVq7%sBM9hdpoDyCmdMDU8>|yxvu{qsThu|K1+mF4W<%2a14_o+^Jeyc
z?b}=}3ky;59N*0RSq(p*{I1AV7!q&3TM7k--E(!o@jPG?i_<?45>{EA4B`q?zEttt
z%z(pi1TpNgTE#4e2Xda_V#V<gS(sX%$@jJR;!#C6ypVd@h&u-fc~_n9)R@nj`s1&2
zDXwW$D<}lT5pHRcpYK2D1~vXSAt;d9`Imz~0Ezp%s!0!c4o#TV{a!pL>1=sx=n1bB
z%Mx{-+lbLzA-+K9uWR;S7Uf0vOXgg2o&o2Y?QVU-wlVMOcqgs5HD+D($VcQ9{XOz5
zf5WPf2z>_FXo9R(&?Ts2(xeWYW$;od{-?%S&*pe;3XK>`$F$5=?Xau02JncLmTJ--
zz1mrCvmLF<9PV%0qOU~ATqebrGEfz{i$rKR5lzkbc_L<?GDOS_?X$Bk8X~G}6rAWu
z%4sW3R#%ESpmO;i@_;{e{@H%Qn`Xod2R(71XK?@@$*E$I8)J_wNyXHHkLv_ImNyI$
z>_7KvXF=H(bCdE4<7yU#WFMF^rmxCH&`ph`WjtU+ewZ!z2O92@QqnD6x~M$o=I*qb
zXTCSv!y;T1)8FqR81vVn6lo+PHUjggC3fiXR>}L=@70>`uX%nBGp5*l?KF-|lqR)w
zl?G`RBhMapDB0f3u(Ub6y^tw$T4l9!Y*!+ID6%{*eIVc^V?bZ_`Oa06>EUC8Cs!M^
z2pMZ)Qeh#-OP0UYL;Zd2y~Y}1W_Y0&Pu^6(m%RVzBx~#dg+TQG6av$;C{Tx*0XVD3
zz}BpG7MkVG1SSQ_?ht;k`&PhvA4iaTv2E>86Wpd$2qs%h)^GHwJw1R=e3&thIBhYR
zML##;I^FC?WPTf~^bwpnaX&D0Zah7{f94t1+c8|O22@igxKLdFMwl~luPD3tKBnmD
z-uC9l8VMz_S&jE%-QxS|!dM^tGc&Qnj?)?k!bqg<3uQl-O<00?FO{^{-kO%HN!xgq
zn2Rq9<lr!pM5mXw)b6rkc*P7RR7LU2LYa8TX)_D98~EG`d=;)T^7TnT8qQAvu=YGD
zjXnUMlF*vsuX$`@nx=T63vRXieuAZv%6J4Hdq!R$)VGFm91N%3ykGQ`w9~LIqq7yu
zm7i4Bu`ZK2Lk{SnPAQl1h_$1sF5*$n@0eM}_v#hD&^F++^FeR-h9M|9*Z&NHkY^9a
zQ#Ze%aZ6#%jMSAEOYu7o&V11buAiz7?9!+Gc!?cea<@UDtRL7v=t3@T?oB4KIW-{@
z^GG#i+PB~2Qkq}efoY(9O;wWT<<<eI{9a&&toq{;j&kWjCJOwMJL1CMue{q^z6%IF
z?-_EE_y9H*d^>CJhW6>dNK)%a4S<mn&-2!S5tsGbX_LSbeV@#Zv#h@gY3WOns5Ls1
zn7Xp=H`~9zQMZW;nwX`lPlpGt^+$ogzW})x|K!FkMq>A%^G>OsjN=cD*bu^#Kx4`o
zE8Xl-30WN`l_F5t(D1Gqk0Y>dzxAaMX5b)UHY9ecyjLVEhLfeW7{P~}IXhU!+3OJB
z)l~bY2`qnLH6F9QvaGTOG&oCB)aL|L@c}!zz;G?FOE5WDYv4RD04KO;Fn&=Sxl`e!
zX7brLVRfc#v?Z1s=UqhPwBw<{XyY%xHkZC3m^=1H;w5|3<)g9}ABUmhcYC8d+Qe73
z`N-~$BJVeNfVV;vK)*j+#lLZ{Sxa(DiL+HVA{!=Xn`l{L2y1!6iuI)Vw6P^n)vUtF
z7@sPzhIy$p8+uTAxX(mwv!MR2xIAsirfmhIQ<;&jG?dT9<(Pj;G27Or_=b?%27mzc
N=z-pS#Jwk>{{sb>U7r8|

diff --git a/docs/reference/simulation.md b/docs/reference/simulation.md
deleted file mode 100644
index 03c8890a..00000000
--- a/docs/reference/simulation.md
+++ /dev/null
@@ -1,6 +0,0 @@
-# Simulation
-
-```{eval-rst}
-.. autoclass:: policyengine.Simulation
-    :members:
-```
\ No newline at end of file
diff --git a/policyengine/__init__.py b/policyengine/__init__.py
index 120af898..7311e3e3 100644
--- a/policyengine/__init__.py
+++ b/policyengine/__init__.py
@@ -1 +1 @@
-from .simulation import Simulation
+from .simulation import Simulation
\ No newline at end of file
diff --git a/policyengine/constants.py b/policyengine/constants.py
index e8c2b4a5..651de219 100644
--- a/policyengine/constants.py
+++ b/policyengine/constants.py
@@ -4,17 +4,11 @@
 
 ENHANCED_FRS = "hf://policyengine/policyengine-uk-data/enhanced_frs_2022_23.h5"
 FRS = "hf://policyengine/policyengine-uk-data/frs_2022_23.h5"
-
 ENHANCED_CPS = "hf://policyengine/policyengine-us-data/enhanced_cps_2024.h5"
 CPS = "hf://policyengine/policyengine-us-data/cps_2023.h5"
 POOLED_CPS = "hf://policyengine/policyengine-us-data/pooled_3_year_cps_2023.h5"
 
-DATASETS = {
-    "uk": {"frs": FRS, "enhanced_frs": ENHANCED_FRS},
-    "us": {"cps": CPS, "enhanced_cps": ENHANCED_CPS, "pooled_cps": POOLED_CPS},
-}
-
-DEFAULT_DATASETS = {
+DEFAULT_DATASETS_BY_COUNTRY = {
     "uk": ENHANCED_FRS,
     "us": CPS,
 }
diff --git a/policyengine/outputs/calculate_economy_comparison.py b/policyengine/outputs/calculate_economy_comparison.py
new file mode 100644
index 00000000..9de41801
--- /dev/null
+++ b/policyengine/outputs/calculate_economy_comparison.py
@@ -0,0 +1,8 @@
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
+
+from pydantic import BaseModel
+
+def calculate_economy_comparison(simulation: "Simulation"):
+    
\ No newline at end of file
diff --git a/policyengine/outputs/calculate_full_single_economy.py b/policyengine/outputs/calculate_full_single_economy.py
new file mode 100644
index 00000000..1ef4e7a9
--- /dev/null
+++ b/policyengine/outputs/calculate_full_single_economy.py
@@ -0,0 +1,365 @@
+from policyengine_core.simulations import Microsimulation
+from typing import Dict
+
+from policyengine_us import Microsimulation
+from policyengine_uk import Microsimulation
+from dataclasses import dataclass
+
+
+@dataclass
+class UKProgram:
+    name: str
+    is_positive: bool
+
+
+class UKPrograms:
+    PROGRAMS = [
+        UKProgram("income_tax", True),
+        UKProgram("national_insurance", True),
+        UKProgram("vat", True),
+        UKProgram("council_tax", True),
+        UKProgram("fuel_duty", True),
+        UKProgram("tax_credits", False),
+        UKProgram("universal_credit", False),
+        UKProgram("child_benefit", False),
+        UKProgram("state_pension", False),
+        UKProgram("pension_credit", False),
+        UKProgram("ni_employer", True),
+    ]
+
+
+class GeneralEconomyTask:
+    def __init__(self, simulation: Microsimulation, country_id: str):
+        self.simulation = simulation
+        self.country_id = country_id
+        self.household_count_people = self.simulation.calculate(
+            "household_count_people"
+        )
+
+    def calculate_tax_and_spending(self):
+        if self.country_id == "uk":
+            total_tax = self.simulation.calculate("gov_tax").sum()
+            total_spending = self.simulation.calculate("gov_spending").sum()
+        else:
+            total_tax = self.simulation.calculate("household_tax").sum()
+            total_spending = self.simulation.calculate(
+                "household_benefits"
+            ).sum()
+        return total_tax, total_spending
+
+    def calculate_inequality_metrics(self):
+        personal_hh_equiv_income = self._get_weighted_household_income()
+
+        try:
+            gini = personal_hh_equiv_income.gini()
+        except Exception as e:
+            print(
+                "WARNING: Gini index calculations resulted in an error: returning no change, but this is inaccurate."
+            )
+            print("Error: ", e)
+            gini = 0.4
+
+        in_top_10_pct = personal_hh_equiv_income.decile_rank() == 10
+        in_top_1_pct = personal_hh_equiv_income.percentile_rank() == 100
+
+        personal_hh_equiv_income.weights /= self.household_count_people
+
+        top_10_share = (
+            personal_hh_equiv_income[in_top_10_pct].sum()
+            / personal_hh_equiv_income.sum()
+        )
+        top_1_share = (
+            personal_hh_equiv_income[in_top_1_pct].sum()
+            / personal_hh_equiv_income.sum()
+        )
+
+        return gini, top_10_share, top_1_share
+
+    def _get_weighted_household_income(self):
+        income = self.simulation.calculate("equiv_household_net_income")
+        income[income < 0] = 0
+        income.weights *= self.household_count_people
+        return income
+
+    def calculate_income_breakdown_metrics(self):
+        total_net_income = self.simulation.calculate(
+            "household_net_income"
+        ).sum()
+        employment_income_hh = (
+            self.simulation.calculate("employment_income", map_to="household")
+            .astype(float)
+            .tolist()
+        )
+        self_employment_income_hh = (
+            self.simulation.calculate(
+                "self_employment_income", map_to="household"
+            )
+            .astype(float)
+            .tolist()
+        )
+
+        return (
+            total_net_income,
+            employment_income_hh,
+            self_employment_income_hh,
+        )
+
+    def calculate_household_income_metrics(self):
+        household_net_income = (
+            self.simulation.calculate("household_net_income")
+            .astype(float)
+            .tolist()
+        )
+        equiv_household_net_income = (
+            self.simulation.calculate("equiv_household_net_income")
+            .astype(float)
+            .tolist()
+        )
+        household_income_decile = (
+            self.simulation.calculate("household_income_decile")
+            .astype(int)
+            .tolist()
+        )
+        household_market_income = (
+            self.simulation.calculate("household_market_income")
+            .astype(float)
+            .tolist()
+        )
+
+        return (
+            household_net_income,
+            equiv_household_net_income,
+            household_income_decile,
+            household_market_income,
+        )
+
+    def calculate_wealth_metrics(self):
+        try:
+            wealth = self.simulation.calculate("total_wealth")
+            wealth.weights *= self.household_count_people
+            wealth_decile = (
+                wealth.decile_rank().clip(1, 10).astype(int).tolist()
+            )
+            wealth = wealth.astype(float).tolist()
+        except Exception as e:
+            wealth = None
+            wealth_decile = None
+        return wealth, wealth_decile
+
+    def calculate_demographic_metrics(self):
+        try:
+            is_male = (
+                self.simulation.calculate("is_male").astype(bool).tolist()
+            )
+        except Exception:
+            is_male = None
+
+        try:
+            race = self.simulation.calculate("race").astype(str).tolist()
+        except Exception:
+            race = None
+
+        age = self.simulation.calculate("age").astype(int).tolist()
+
+        return is_male, race, age
+
+    def calculate_poverty_metrics(self):
+        in_poverty = (
+            self.simulation.calculate("in_poverty").astype(bool).tolist()
+        )
+        person_in_poverty = (
+            self.simulation.calculate("in_poverty", map_to="person")
+            .astype(bool)
+            .tolist()
+        )
+        person_in_deep_poverty = (
+            self.simulation.calculate("in_deep_poverty", map_to="person")
+            .astype(bool)
+            .tolist()
+        )
+        poverty_gap = self.simulation.calculate("poverty_gap").sum()
+        deep_poverty_gap = self.simulation.calculate("deep_poverty_gap").sum()
+        return (
+            in_poverty,
+            person_in_poverty,
+            person_in_deep_poverty,
+            poverty_gap,
+            deep_poverty_gap,
+        )
+
+    def calculate_weights(self):
+        person_weight = (
+            self.simulation.calculate("person_weight").astype(float).tolist()
+        )
+        household_weight = (
+            self.simulation.calculate("household_weight")
+            .astype(float)
+            .tolist()
+        )
+
+        return person_weight, household_weight
+
+    def calculate_labor_supply_responses(self):
+        result = {
+            "substitution_lsr": 0,
+            "income_lsr": 0,
+            "budgetary_impact_lsr": 0,
+            "income_lsr_hh": (self.household_count_people * 0)
+            .astype(float)
+            .tolist(),
+            "substitution_lsr_hh": (self.household_count_people * 0)
+            .astype(float)
+            .tolist(),
+        }
+
+        if not self._has_behavioral_response():
+            return result
+
+        result.update(
+            {
+                "substitution_lsr": self.simulation.calculate(
+                    "substitution_elasticity_lsr"
+                ).sum(),
+                "income_lsr": self.simulation.calculate(
+                    "income_elasticity_lsr"
+                ).sum(),
+                "income_lsr_hh": self.simulation.calculate(
+                    "income_elasticity_lsr", map_to="household"
+                )
+                .astype(float)
+                .tolist(),
+                "substitution_lsr_hh": self.simulation.calculate(
+                    "substitution_elasticity_lsr", map_to="household"
+                )
+                .astype(float)
+                .tolist(),
+            }
+        )
+
+        return result
+
+    def _has_behavioral_response(self) -> bool:
+        return (
+            "employment_income_behavioral_response"
+            in self.simulation.tax_benefit_system.variables
+            and any(
+                self.simulation.calculate(
+                    "employment_income_behavioral_response"
+                )
+                != 0
+            )
+        )
+
+    def calculate_lsr_working_hours(self):
+        if self.country_id != "us":
+            return {
+                "weekly_hours": 0,
+                "weekly_hours_income_effect": 0,
+                "weekly_hours_substitution_effect": 0,
+            }
+
+        return {
+            "weekly_hours": self.simulation.calculate(
+                "weekly_hours_worked"
+            ).sum(),
+            "weekly_hours_income_effect": self.simulation.calculate(
+                "weekly_hours_worked_behavioural_response_income_elasticity"
+            ).sum(),
+            "weekly_hours_substitution_effect": self.simulation.calculate(
+                "weekly_hours_worked_behavioural_response_substitution_elasticity"
+            ).sum(),
+        }
+
+    def calculate_uk_programs(self) -> Dict[str, float]:
+        if self.country_id != "uk":
+            return {}
+
+        return {
+            program.name: self.simulation.calculate(
+                program.name, map_to="household"
+            ).sum()
+            * (1 if program.is_positive else -1)
+            for program in UKPrograms.PROGRAMS
+        }
+
+
+def compute_general_economy(simulation, country_id: str) -> Dict:
+    task_manager = GeneralEconomyTask(simulation, country_id)
+
+    total_tax, total_spending = task_manager.calculate_tax_and_spending()
+    gini, top_10_share, top_1_share = (
+        task_manager.calculate_inequality_metrics()
+    )
+    wealth, wealth_decile = task_manager.calculate_wealth_metrics()
+    is_male, race, age = task_manager.calculate_demographic_metrics()
+    labor_supply_responses = task_manager.calculate_labor_supply_responses()
+    lsr_working_hours = task_manager.calculate_lsr_working_hours()
+    (
+        in_poverty,
+        person_in_poverty,
+        person_in_deep_poverty,
+        poverty_gap,
+        deep_poverty_gap,
+    ) = task_manager.calculate_poverty_metrics()
+    total_net_income, employment_income_hh, self_employment_income_hh = (
+        task_manager.calculate_income_breakdown_metrics()
+    )
+    (
+        household_net_income,
+        equiv_household_net_income,
+        household_income_decile,
+        household_market_income,
+    ) = task_manager.calculate_household_income_metrics()
+    person_weight, household_weight = task_manager.calculate_weights()
+
+    if country_id == "uk":
+        uk_programs = task_manager.calculate_uk_programs()
+    else:
+        uk_programs = {}
+
+    total_state_tax = 0
+
+    if country_id == "us":
+        try:
+            total_state_tax = simulation.calculate(
+                "household_state_income_tax"
+            ).sum()
+        except:
+            total_state_tax = 0
+
+    result = {
+        "total_net_income": total_net_income,
+        "employment_income_hh": employment_income_hh,
+        "self_employment_income_hh": self_employment_income_hh,
+        "total_tax": total_tax,
+        "total_state_tax": total_state_tax,
+        "total_benefits": total_spending,
+        "household_net_income": household_net_income,
+        "equiv_household_net_income": equiv_household_net_income,
+        "household_income_decile": household_income_decile,
+        "household_market_income": household_market_income,
+        "household_wealth_decile": wealth_decile,
+        "household_wealth": wealth,
+        "in_poverty": in_poverty,
+        "person_in_poverty": person_in_poverty,
+        "person_in_deep_poverty": person_in_deep_poverty,
+        "poverty_gap": poverty_gap,
+        "deep_poverty_gap": deep_poverty_gap,
+        "person_weight": person_weight,
+        "household_weight": household_weight,
+        "household_count_people": task_manager.household_count_people.astype(
+            int
+        ).tolist(),
+        "gini": float(gini),
+        "top_10_percent_share": float(top_10_share),
+        "top_1_percent_share": float(top_1_share),
+        "is_male": is_male,
+        "race": race,
+        "age": age,
+        **labor_supply_responses,
+        **lsr_working_hours,
+        "type": "general",
+        "programs": uk_programs,
+    }
+
+    return result
diff --git a/policyengine/outputs/compare.py b/policyengine/outputs/compare.py
new file mode 100644
index 00000000..0317e0e0
--- /dev/null
+++ b/policyengine/outputs/compare.py
@@ -0,0 +1,567 @@
+from microdf import MicroDataFrame, MicroSeries
+import numpy as np
+import sys
+
+
+def budgetary_impact(baseline: dict, reform: dict) -> dict:
+    tax_revenue_impact = reform["total_tax"] - baseline["total_tax"]
+    state_tax_revenue_impact = (
+        reform["total_state_tax"] - baseline["total_state_tax"]
+    )
+    benefit_spending_impact = (
+        reform["total_benefits"] - baseline["total_benefits"]
+    )
+    budgetary_impact = tax_revenue_impact - benefit_spending_impact
+    return dict(
+        budgetary_impact=budgetary_impact,
+        tax_revenue_impact=tax_revenue_impact,
+        state_tax_revenue_impact=state_tax_revenue_impact,
+        benefit_spending_impact=benefit_spending_impact,
+        households=sum(baseline["household_weight"]),
+        baseline_net_income=baseline["total_net_income"],
+    )
+
+
+def labor_supply_response(baseline: dict, reform: dict) -> dict:
+    substitution_lsr = (
+        reform["substitution_lsr"] - baseline["substitution_lsr"]
+    )
+    income_lsr = reform["income_lsr"] - baseline["income_lsr"]
+    total_change = substitution_lsr + income_lsr
+    revenue_change = (
+        reform["budgetary_impact_lsr"] - baseline["budgetary_impact_lsr"]
+    )
+
+    substitution_lsr_hh = np.array(reform["substitution_lsr_hh"]) - np.array(
+        baseline["substitution_lsr_hh"]
+    )
+    income_lsr_hh = np.array(reform["income_lsr_hh"]) - np.array(
+        baseline["income_lsr_hh"]
+    )
+    decile = np.array(baseline["household_income_decile"])
+    household_weight = baseline["household_weight"]
+
+    total_lsr_hh = substitution_lsr_hh + income_lsr_hh
+
+    emp_income = MicroSeries(
+        baseline["employment_income_hh"], weights=household_weight
+    )
+    self_emp_income = MicroSeries(
+        baseline["self_employment_income_hh"], weights=household_weight
+    )
+    earnings = emp_income + self_emp_income
+    original_earnings = earnings - total_lsr_hh
+    substitution_lsr_hh = MicroSeries(
+        substitution_lsr_hh, weights=household_weight
+    )
+    income_lsr_hh = MicroSeries(income_lsr_hh, weights=household_weight)
+
+    decile_avg = dict(
+        income=income_lsr_hh.groupby(decile).mean().to_dict(),
+        substitution=substitution_lsr_hh.groupby(decile).mean().to_dict(),
+    )
+    decile_rel = dict(
+        income=(
+            income_lsr_hh.groupby(decile).sum()
+            / original_earnings.groupby(decile).sum()
+        ).to_dict(),
+        substitution=(
+            substitution_lsr_hh.groupby(decile).sum()
+            / original_earnings.groupby(decile).sum()
+        ).to_dict(),
+    )
+
+    relative_lsr = dict(
+        income=(income_lsr_hh.sum() / original_earnings.sum()),
+        substitution=(substitution_lsr_hh.sum() / original_earnings.sum()),
+    )
+
+    decile_rel["income"] = {
+        int(k): v for k, v in decile_rel["income"].items() if k > 0
+    }
+    decile_rel["substitution"] = {
+        int(k): v for k, v in decile_rel["substitution"].items() if k > 0
+    }
+
+    hours = dict(
+        baseline=baseline["weekly_hours"],
+        reform=reform["weekly_hours"],
+        change=reform["weekly_hours"] - baseline["weekly_hours"],
+        income_effect=reform["weekly_hours_income_effect"]
+        - baseline["weekly_hours_income_effect"],
+        substitution_effect=reform["weekly_hours_substitution_effect"]
+        - baseline["weekly_hours_substitution_effect"],
+    )
+
+    return dict(
+        substitution_lsr=substitution_lsr,
+        income_lsr=income_lsr,
+        relative_lsr=relative_lsr,
+        total_change=total_change,
+        revenue_change=revenue_change,
+        decile=dict(
+            average=decile_avg,
+            relative=decile_rel,
+        ),
+        hours=hours,
+    )
+
+
+def detailed_budgetary_impact(
+    baseline: dict, reform: dict, country_id: str
+) -> dict:
+    result = {}
+    if country_id == "uk":
+        for program in baseline["programs"]:
+            # baseline[programs][program] = total budgetary impact of program
+            result[program] = dict(
+                baseline=baseline["programs"][program],
+                reform=reform["programs"][program],
+                difference=reform["programs"][program]
+                - baseline["programs"][program],
+            )
+    return result
+
+
+def decile_impact(baseline: dict, reform: dict) -> dict:
+    """
+    Compare the impact of a reform on the deciles of the population.
+
+    Args:
+        baseline (dict): The baseline economy.
+        reform (dict): The reform economy.
+
+    Returns:
+        dict: The impact of the reform on the deciles of the population.
+    """
+    baseline_income = MicroSeries(
+        baseline["household_net_income"], weights=baseline["household_weight"]
+    )
+    reform_income = MicroSeries(
+        reform["household_net_income"], weights=baseline_income.weights
+    )
+
+    # Filter out negative decile values
+    decile = MicroSeries(baseline["household_income_decile"])
+    baseline_income_filtered = baseline_income[decile >= 0]
+    reform_income_filtered = reform_income[decile >= 0]
+
+    income_change = reform_income_filtered - baseline_income_filtered
+    rel_income_change_by_decile = (
+        income_change.groupby(decile).sum()
+        / baseline_income_filtered.groupby(decile).sum()
+    )
+
+    avg_income_change_by_decile = (
+        income_change.groupby(decile).sum()
+        / baseline_income_filtered.groupby(decile).count()
+    )
+    rel_decile_dict = rel_income_change_by_decile.to_dict()
+    avg_decile_dict = avg_income_change_by_decile.to_dict()
+    result = dict(
+        relative={int(k): v for k, v in rel_decile_dict.items()},
+        average={int(k): v for k, v in avg_decile_dict.items()},
+    )
+    return result
+
+
+def wealth_decile_impact(baseline: dict, reform: dict) -> dict:
+    """
+    Compare the impact of a reform on the deciles of the population.
+
+    Args:
+        baseline (dict): The baseline economy.
+        reform (dict): The reform economy.
+
+    Returns:
+        dict: The impact of the reform on the deciles of the population.
+    """
+    baseline_income = MicroSeries(
+        baseline["household_net_income"], weights=baseline["household_weight"]
+    )
+    reform_income = MicroSeries(
+        reform["household_net_income"], weights=baseline_income.weights
+    )
+
+    # Filter out negative decile values
+    decile = MicroSeries(baseline["household_wealth_decile"])
+    baseline_income_filtered = baseline_income[decile >= 0]
+    reform_income_filtered = reform_income[decile >= 0]
+
+    income_change = reform_income_filtered - baseline_income_filtered
+    rel_income_change_by_decile = (
+        income_change.groupby(decile).sum()
+        / baseline_income_filtered.groupby(decile).sum()
+    )
+    avg_income_change_by_decile = (
+        income_change.groupby(decile).sum()
+        / baseline_income_filtered.groupby(decile).count()
+    )
+    rel_decile_dict = rel_income_change_by_decile.to_dict()
+    avg_decile_dict = avg_income_change_by_decile.to_dict()
+    result = dict(
+        relative={int(k): v for k, v in rel_decile_dict.items()},
+        average={int(k): v for k, v in avg_decile_dict.items()},
+    )
+    return result
+
+
+def inequality_impact(baseline: dict, reform: dict) -> dict:
+    """
+    Compare the impact of a reform on inequality.
+
+    Args:
+        baseline (dict): The baseline economy.
+        reform (dict): The reform economy.
+
+    Returns:
+        dict: The impact of the reform on inequality.
+    """
+
+    return dict(
+        gini=dict(
+            baseline=baseline["gini"],
+            reform=reform["gini"],
+        ),
+        top_10_pct_share=dict(
+            baseline=baseline["top_10_percent_share"],
+            reform=reform["top_10_percent_share"],
+        ),
+        top_1_pct_share=dict(
+            baseline=baseline["top_1_percent_share"],
+            reform=reform["top_1_percent_share"],
+        ),
+    )
+
+
+def poverty_impact(baseline: dict, reform: dict) -> dict:
+    """
+    Compare the impact of a reform on poverty.
+
+    Args:
+        baseline (dict): The baseline economy.
+        reform (dict): The reform economy.
+
+    Returns:
+        dict: The impact of the reform on poverty.
+    """
+    baseline_poverty = MicroSeries(
+        baseline["person_in_poverty"], weights=baseline["person_weight"]
+    )
+    baseline_deep_poverty = MicroSeries(
+        baseline["person_in_deep_poverty"], weights=baseline["person_weight"]
+    )
+    reform_poverty = MicroSeries(
+        reform["person_in_poverty"], weights=baseline_poverty.weights
+    )
+    reform_deep_poverty = MicroSeries(
+        reform["person_in_deep_poverty"], weights=baseline_poverty.weights
+    )
+    age = MicroSeries(baseline["age"])
+
+    poverty = dict(
+        child=dict(
+            baseline=float(baseline_poverty[age < 18].mean()),
+            reform=float(reform_poverty[age < 18].mean()),
+        ),
+        adult=dict(
+            baseline=float(baseline_poverty[(age >= 18) & (age < 65)].mean()),
+            reform=float(reform_poverty[(age >= 18) & (age < 65)].mean()),
+        ),
+        senior=dict(
+            baseline=float(baseline_poverty[age >= 65].mean()),
+            reform=float(reform_poverty[age >= 65].mean()),
+        ),
+        all=dict(
+            baseline=float(baseline_poverty.mean()),
+            reform=float(reform_poverty.mean()),
+        ),
+    )
+
+    deep_poverty = dict(
+        child=dict(
+            baseline=float(baseline_deep_poverty[age < 18].mean()),
+            reform=float(reform_deep_poverty[age < 18].mean()),
+        ),
+        adult=dict(
+            baseline=float(
+                baseline_deep_poverty[(age >= 18) & (age < 65)].mean()
+            ),
+            reform=float(reform_deep_poverty[(age >= 18) & (age < 65)].mean()),
+        ),
+        senior=dict(
+            baseline=float(baseline_deep_poverty[age >= 65].mean()),
+            reform=float(reform_deep_poverty[age >= 65].mean()),
+        ),
+        all=dict(
+            baseline=float(baseline_deep_poverty.mean()),
+            reform=float(reform_deep_poverty.mean()),
+        ),
+    )
+
+    return dict(
+        poverty=poverty,
+        deep_poverty=deep_poverty,
+    )
+
+
+def intra_decile_impact(baseline: dict, reform: dict) -> dict:
+    baseline_income = MicroSeries(
+        baseline["household_net_income"], weights=baseline["household_weight"]
+    )
+    reform_income = MicroSeries(
+        reform["household_net_income"], weights=baseline_income.weights
+    )
+    people = MicroSeries(
+        baseline["household_count_people"], weights=baseline_income.weights
+    )
+    decile = MicroSeries(baseline["household_income_decile"]).values
+    absolute_change = (reform_income - baseline_income).values
+    capped_baseline_income = np.maximum(baseline_income.values, 1)
+    capped_reform_income = (
+        np.maximum(reform_income.values, 1) + absolute_change
+    )
+    income_change = (
+        capped_reform_income - capped_baseline_income
+    ) / capped_baseline_income
+
+    # Within each decile, calculate the percentage of people who:
+    # 1. Gained more than 5% of their income
+    # 2. Gained between 0% and 5% of their income
+    # 3. Had no change in income
+    # 3. Lost between 0% and 5% of their income
+    # 4. Lost more than 5% of their income
+
+    outcome_groups = {}
+    all_outcomes = {}
+    BOUNDS = [-np.inf, -0.05, -1e-3, 1e-3, 0.05, np.inf]
+    LABELS = [
+        "Lose more than 5%",
+        "Lose less than 5%",
+        "No change",
+        "Gain less than 5%",
+        "Gain more than 5%",
+    ]
+    for lower, upper, label in zip(BOUNDS[:-1], BOUNDS[1:], LABELS):
+        outcome_groups[label] = []
+        for i in range(1, 11):
+            in_decile = decile == i
+            in_group = (income_change > lower) & (income_change <= upper)
+            in_both = in_decile & in_group
+            outcome_groups[label].append(
+                float(people[in_both].sum() / people[in_decile].sum())
+            )
+        all_outcomes[label] = sum(outcome_groups[label]) / 10
+    return dict(deciles=outcome_groups, all=all_outcomes)
+
+
+def intra_wealth_decile_impact(baseline: dict, reform: dict) -> dict:
+    baseline_income = MicroSeries(
+        baseline["household_net_income"], weights=baseline["household_weight"]
+    )
+    reform_income = MicroSeries(
+        reform["household_net_income"], weights=baseline_income.weights
+    )
+    people = MicroSeries(
+        baseline["household_count_people"], weights=baseline_income.weights
+    )
+    decile = MicroSeries(baseline["household_wealth_decile"]).values
+    absolute_change = (reform_income - baseline_income).values
+    capped_baseline_income = np.maximum(baseline_income.values, 1)
+    capped_reform_income = (
+        np.maximum(reform_income.values, 1) + absolute_change
+    )
+    income_change = (
+        capped_reform_income - capped_baseline_income
+    ) / capped_baseline_income
+
+    # Within each decile, calculate the percentage of people who:
+    # 1. Gained more than 5% of their income
+    # 2. Gained between 0% and 5% of their income
+    # 3. Had no change in income
+    # 3. Lost between 0% and 5% of their income
+    # 4. Lost more than 5% of their income
+
+    outcome_groups = {}
+    all_outcomes = {}
+    BOUNDS = [-np.inf, -0.05, -1e-3, 1e-3, 0.05, np.inf]
+    LABELS = [
+        "Lose more than 5%",
+        "Lose less than 5%",
+        "No change",
+        "Gain less than 5%",
+        "Gain more than 5%",
+    ]
+    for lower, upper, label in zip(BOUNDS[:-1], BOUNDS[1:], LABELS):
+        outcome_groups[label] = []
+        for i in range(1, 11):
+            in_decile = decile == i
+            in_group = (income_change > lower) & (income_change <= upper)
+            in_both = in_decile & in_group
+            outcome_groups[label].append(
+                float(people[in_both].sum() / people[in_decile].sum())
+            )
+        all_outcomes[label] = sum(outcome_groups[label]) / 10
+    return dict(deciles=outcome_groups, all=all_outcomes)
+
+
+def poverty_gender_breakdown(baseline: dict, reform: dict) -> dict:
+    """
+    Compare the impact of a reform on poverty.
+
+    Args:
+        baseline (dict): The baseline economy.
+        reform (dict): The reform economy.
+
+    Returns:
+        dict: The impact of the reform on poverty.
+    """
+    if baseline["is_male"] is None:
+        return {}
+    baseline_poverty = MicroSeries(
+        baseline["person_in_poverty"], weights=baseline["person_weight"]
+    )
+    baseline_deep_poverty = MicroSeries(
+        baseline["person_in_deep_poverty"], weights=baseline["person_weight"]
+    )
+    reform_poverty = MicroSeries(
+        reform["person_in_poverty"], weights=baseline_poverty.weights
+    )
+    reform_deep_poverty = MicroSeries(
+        reform["person_in_deep_poverty"], weights=baseline_poverty.weights
+    )
+    is_male = MicroSeries(baseline["is_male"])
+
+    poverty = dict(
+        male=dict(
+            baseline=float(baseline_poverty[is_male].mean()),
+            reform=float(reform_poverty[is_male].mean()),
+        ),
+        female=dict(
+            baseline=float(baseline_poverty[~is_male].mean()),
+            reform=float(reform_poverty[~is_male].mean()),
+        ),
+    )
+
+    deep_poverty = dict(
+        male=dict(
+            baseline=float(baseline_deep_poverty[is_male].mean()),
+            reform=float(reform_deep_poverty[is_male].mean()),
+        ),
+        female=dict(
+            baseline=float(baseline_deep_poverty[~is_male].mean()),
+            reform=float(reform_deep_poverty[~is_male].mean()),
+        ),
+    )
+
+    return dict(
+        poverty=poverty,
+        deep_poverty=deep_poverty,
+    )
+
+
+def poverty_racial_breakdown(baseline: dict, reform: dict) -> dict:
+    """
+    Compare the impact of a reform on poverty.
+
+    Args:
+        baseline (dict): The baseline economy.
+        reform (dict): The reform economy.
+
+    Returns:
+        dict: The impact of the reform on poverty.
+    """
+    if baseline["race"] is None:
+        return {}
+    baseline_poverty = MicroSeries(
+        baseline["person_in_poverty"], weights=baseline["person_weight"]
+    )
+    reform_poverty = MicroSeries(
+        reform["person_in_poverty"], weights=baseline_poverty.weights
+    )
+    race = MicroSeries(
+        baseline["race"]
+    )  # Can be WHITE, BLACK, HISPANIC, or OTHER.
+
+    poverty = dict(
+        white=dict(
+            baseline=float(baseline_poverty[race == "WHITE"].mean()),
+            reform=float(reform_poverty[race == "WHITE"].mean()),
+        ),
+        black=dict(
+            baseline=float(baseline_poverty[race == "BLACK"].mean()),
+            reform=float(reform_poverty[race == "BLACK"].mean()),
+        ),
+        hispanic=dict(
+            baseline=float(baseline_poverty[race == "HISPANIC"].mean()),
+            reform=float(reform_poverty[race == "HISPANIC"].mean()),
+        ),
+        other=dict(
+            baseline=float(baseline_poverty[race == "OTHER"].mean()),
+            reform=float(reform_poverty[race == "OTHER"].mean()),
+        ),
+    )
+
+    return dict(
+        poverty=poverty,
+    )
+
+
+def compare_economic_outputs(
+    baseline: dict, reform: dict, country_id: str = None
+) -> dict:
+    """
+    Compare the economic outputs of two economies.
+
+    Args:
+        baseline (dict): The baseline economy.
+        reform (dict): The reform economy.
+
+    Returns:
+        dict: The comparison of the two economies.
+    """
+    if baseline.get("type") == "general":
+        budgetary_impact_data = budgetary_impact(baseline, reform)
+        detailed_budgetary_impact_data = detailed_budgetary_impact(
+            baseline, reform, country_id
+        )
+        decile_impact_data = decile_impact(baseline, reform)
+        inequality_impact_data = inequality_impact(baseline, reform)
+        poverty_impact_data = poverty_impact(baseline, reform)
+        poverty_by_gender_data = poverty_gender_breakdown(baseline, reform)
+        poverty_by_race_data = poverty_racial_breakdown(baseline, reform)
+        intra_decile_impact_data = intra_decile_impact(baseline, reform)
+        labor_supply_response_data = labor_supply_response(baseline, reform)
+        try:
+            wealth_decile_impact_data = wealth_decile_impact(baseline, reform)
+            intra_wealth_decile_impact_data = intra_wealth_decile_impact(
+                baseline, reform
+            )
+        except:
+            wealth_decile_impact_data = {}
+            intra_wealth_decile_impact_data = {}
+
+        return dict(
+            budget=budgetary_impact_data,
+            detailed_budget=detailed_budgetary_impact_data,
+            decile=decile_impact_data,
+            inequality=inequality_impact_data,
+            poverty=poverty_impact_data,
+            poverty_by_gender=poverty_by_gender_data,
+            poverty_by_race=poverty_by_race_data,
+            intra_decile=intra_decile_impact_data,
+            wealth_decile=wealth_decile_impact_data,
+            intra_wealth_decile=intra_wealth_decile_impact_data,
+            labor_supply_response=labor_supply_response_data,
+        )
+    elif baseline.get("type") == "cliff":
+        return dict(
+            baseline=dict(
+                cliff_gap=baseline["cliff_gap"],
+                cliff_share=baseline["cliff_share"],
+            ),
+            reform=dict(
+                cliff_gap=reform["cliff_gap"],
+                cliff_share=reform["cliff_share"],
+            ),
+        )
diff --git a/policyengine/outputs/macro/single/__init__.py b/policyengine/outputs/macro/single/__init__.py
deleted file mode 100644
index 6b7c1a34..00000000
--- a/policyengine/outputs/macro/single/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-from .single import calculate_single_economy
diff --git a/policyengine/outputs/macro/single/household/__init__.py b/policyengine/outputs/macro/single/household/__init__.py
deleted file mode 100644
index a38080a1..00000000
--- a/policyengine/outputs/macro/single/household/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from .household import (
-    calculate_single_economy_household_sector,
-    SingleEconomyHouseholdSector,
-)
diff --git a/policyengine/outputs/macro/single/household/demographics.py b/policyengine/outputs/macro/single/household/demographics.py
deleted file mode 100644
index 101086a2..00000000
--- a/policyengine/outputs/macro/single/household/demographics.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import typing
-from typing import List
-from pydantic import BaseModel, Field
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from microdf import MicroSeries
-
-
-class SingleEconomyDemographics(BaseModel):
-    household_count_people: List[int] = Field(
-        ..., description="Number of people in each household"
-    )
-    person_weight: List[float] = Field(
-        ..., description="Weight of each person"
-    )
-    household_weight: List[float] = Field(
-        ..., description="Weight of each household"
-    )
-    total_households: int = Field(
-        ..., description="Total number of households"
-    )
-    is_male: List[bool] = Field(
-        ..., description="Gender indicator for each person"
-    )
-    age: List[int] = Field(..., description="Age of each person")
-    race: typing.Optional[List[str]] = Field(
-        None, description="Race of each person, if available"
-    )
-
-
-def calculate_demographics(
-    simulation: "Simulation",
-) -> SingleEconomyDemographics:
-    """
-    Calculate and return demographic information for a given simulation.
-
-    Args:
-        simulation (Simulation): The simulation object containing the selected simulation data.
-
-    Returns:
-        SingleEconomyDemographics: An object containing demographic information.
-    """
-    sim = simulation.selected_sim
-    household_count_people = (
-        sim.calculate("household_count_people").astype(int).tolist()
-    )
-    person_weight = sim.calculate("person_weight").astype(float).tolist()
-    household_weight = sim.calculate("household_weight").astype(float).tolist()
-    is_male = sim.calculate("is_male").astype(bool).tolist()
-    if "race" in sim.tax_benefit_system.variables:
-        race = sim.calculate("race").astype(str).tolist()
-    else:
-        race = None
-    age = sim.calculate("age").astype(int).tolist()
-    total_households = int(sum(household_weight))
-    return SingleEconomyDemographics(
-        household_count_people=household_count_people,
-        person_weight=person_weight,
-        household_weight=household_weight,
-        total_households=total_households,
-        is_male=is_male,
-        age=age,
-        race=race,
-    )
diff --git a/policyengine/outputs/macro/single/household/finance.py b/policyengine/outputs/macro/single/household/finance.py
deleted file mode 100644
index c3d519a5..00000000
--- a/policyengine/outputs/macro/single/household/finance.py
+++ /dev/null
@@ -1,153 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-
-from pydantic import BaseModel, Field
-
-
-class SingleEconomyFinanceOutput(BaseModel):
-    total_net_income: float = Field(
-        ..., description="Total net income of the household"
-    )
-    total_market_income: float = Field(
-        ..., description="Total market income of the household"
-    )
-    total_tax: float = Field(
-        ..., description="Total tax paid by the household"
-    )
-    total_benefits: float = Field(
-        ..., description="Total benefits received by the household"
-    )
-    employment_income_hh: typing.List[float] = Field(
-        ..., description="Employment income of the household"
-    )
-    self_employment_income_hh: typing.List[float] = Field(
-        ..., description="Self-employment income of the household"
-    )
-    household_net_income: typing.List[float] = Field(
-        ..., description="Net income of the household"
-    )
-    equiv_household_net_income: typing.List[float] = Field(
-        ..., description="Equivalized net income of the household"
-    )
-    household_income_decile: typing.List[int] = Field(
-        ..., description="Income decile of the household"
-    )
-    household_market_income: typing.List[float] = Field(
-        ..., description="Market income of the household"
-    )
-    wealth: typing.Optional[typing.List[float]] = Field(
-        None, description="Wealth of the household"
-    )
-    wealth_decile: typing.Optional[typing.List[int]] = Field(
-        None, description="Wealth decile of the household"
-    )
-    in_poverty: typing.List[bool] = Field(
-        ..., description="Poverty status of the household"
-    )
-    person_in_poverty: typing.List[bool] = Field(
-        ..., description="Poverty status of individuals in the household"
-    )
-    person_in_deep_poverty: typing.List[bool] = Field(
-        ..., description="Deep poverty status of individuals in the household"
-    )
-    poverty_gap: float = Field(..., description="Poverty gap of the household")
-    deep_poverty_gap: float = Field(
-        ..., description="Deep poverty gap of the household"
-    )
-    poverty_rate: float = Field(
-        ..., description="Poverty rate of the household"
-    )
-    deep_poverty_rate: float = Field(
-        ..., description="Deep poverty rate of the household"
-    )
-
-
-def calculate_finance(
-    simulation: "Simulation",
-) -> SingleEconomyFinanceOutput:
-    """
-    Calculate various financial metrics for a given simulation.
-
-    Args:
-        simulation (Simulation): The simulation object containing the data.
-
-    Returns:
-        FinanceOutput: An object containing various financial metrics.
-
-    """
-    sim = simulation.selected_sim
-
-    total_net_income = sim.calculate("household_net_income").sum()
-    total_market_income = sim.calculate("household_market_income").sum()
-    total_tax = sim.calculate("household_tax").sum()
-    total_benefits = sim.calculate("household_benefits").sum()
-    employment_income_hh = (
-        sim.calculate("employment_income", map_to="household")
-        .astype(float)
-        .tolist()
-    )
-    self_employment_income_hh = (
-        sim.calculate("self_employment_income", map_to="household")
-        .astype(float)
-        .tolist()
-    )
-    household_net_income = (
-        sim.calculate("household_net_income").astype(float).tolist()
-    )
-    equiv_household_net_income = (
-        sim.calculate("equiv_household_net_income").astype(float).tolist()
-    )
-    household_income_decile = (
-        sim.calculate("household_income_decile").astype(int).tolist()
-    )
-    household_market_income = (
-        sim.calculate("household_market_income").astype(float).tolist()
-    )
-    if "total_wealth" in sim.tax_benefit_system.variables:
-        wealth = sim.calculate("total_wealth")
-        household_count_people = sim.calculate("household_count_people").values
-        wealth.weights *= household_count_people
-        wealth_decile = wealth.decile_rank().clip(1, 10).astype(int)
-        wealth = wealth.astype(float).tolist()
-    else:
-        wealth = None
-        wealth_decile = None
-
-    in_poverty = sim.calculate("in_poverty").astype(bool).tolist()
-    person_in_poverty = (
-        sim.calculate("in_poverty", map_to="person").astype(bool).tolist()
-    )
-    person_in_deep_poverty = (
-        sim.calculate("in_deep_poverty", map_to="person").astype(bool).tolist()
-    )
-    poverty_gap = sim.calculate("poverty_gap").sum()
-    deep_poverty_gap = sim.calculate("deep_poverty_gap").sum()
-
-    poverty_rate = sim.calculate("in_poverty", map_to="person").mean()
-    deep_poverty_rate = sim.calculate(
-        "in_deep_poverty", map_to="person"
-    ).mean()
-
-    return SingleEconomyFinanceOutput(
-        total_net_income=total_net_income,
-        total_market_income=total_market_income,
-        total_tax=total_tax,
-        total_benefits=total_benefits,
-        employment_income_hh=employment_income_hh,
-        self_employment_income_hh=self_employment_income_hh,
-        household_net_income=household_net_income,
-        equiv_household_net_income=equiv_household_net_income,
-        household_income_decile=household_income_decile,
-        household_market_income=household_market_income,
-        wealth=wealth,
-        wealth_decile=wealth_decile,
-        in_poverty=in_poverty,
-        person_in_poverty=person_in_poverty,
-        person_in_deep_poverty=person_in_deep_poverty,
-        poverty_gap=poverty_gap,
-        deep_poverty_gap=deep_poverty_gap,
-        poverty_rate=poverty_rate,
-        deep_poverty_rate=deep_poverty_rate,
-    )
diff --git a/policyengine/outputs/macro/single/household/household.py b/policyengine/outputs/macro/single/household/household.py
deleted file mode 100644
index 4ccd515d..00000000
--- a/policyengine/outputs/macro/single/household/household.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-from .demographics import calculate_demographics, SingleEconomyDemographics
-from .finance import calculate_finance, SingleEconomyFinanceOutput
-from .inequality import calculate_inequality, SingleEconomyInequality
-from .labor_supply import calculate_labor_supply, SingleEconomyLaborSupply
-from pydantic import BaseModel, Field
-
-
-class SingleEconomyHouseholdSector(BaseModel):
-    demographics: SingleEconomyDemographics = Field(
-        ..., description="Demographics of the household sector"
-    )
-    finance: SingleEconomyFinanceOutput = Field(
-        ..., description="Finance variables of the household sector"
-    )
-    inequality: SingleEconomyInequality = Field(
-        ..., description="Inequality of the household sector"
-    )
-    labor_supply: SingleEconomyLaborSupply = Field(
-        ..., description="Labor supply variables of the household sector"
-    )
-
-
-def calculate_single_economy_household_sector(
-    simulation: "Simulation",
-) -> SingleEconomyHouseholdSector:
-    """
-    Calculate and return household sector variables for a given simulation.
-
-    Args:
-        simulation (Simulation): The simulation object containing the selected simulation data.
-
-    Returns:
-        SingleEconomyHouseholdSector: An object containing demographic, finance, inequality, and labor supply variables for the household sector.
-    """
-    return SingleEconomyHouseholdSector(
-        demographics=calculate_demographics(simulation),
-        finance=calculate_finance(simulation),
-        inequality=calculate_inequality(simulation),
-        labor_supply=calculate_labor_supply(simulation),
-    )
diff --git a/policyengine/outputs/macro/single/household/inequality.py b/policyengine/outputs/macro/single/household/inequality.py
deleted file mode 100644
index 1a0f8f1e..00000000
--- a/policyengine/outputs/macro/single/household/inequality.py
+++ /dev/null
@@ -1,60 +0,0 @@
-import typing
-
-if typing.TYPE_CHECKING:
-    from policyengine import Simulation
-
-from pydantic import BaseModel, Field
-
-
-class SingleEconomyInequality(BaseModel):
-    gini: float = Field(
-        ..., description="Gini coefficient of income inequality"
-    )
-    top_10_percent_share: float = Field(
-        ..., description="Income share of the top 10 percent"
-    )
-    top_1_percent_share: float = Field(
-        ..., description="Income share of the top 1 percent"
-    )
-
-
-def calculate_inequality(simulation: "Simulation") -> SingleEconomyInequality:
-    """
-    Calculate inequality metrics for a given simulation.
-    Args:
-        simulation (Simulation): The simulation object containing the data
-                                 and methods to perform the calculations.
-    Returns:
-        SingleEconomyInequality: An object containing the calculated Gini
-                                 coefficient, top 10 percent income share,
-                                 and top 1 percent income share.
-    """
-
-    personal_hh_equiv_income = simulation.selected_sim.calculate(
-        "equiv_household_net_income"
-    )
-    personal_hh_equiv_income[personal_hh_equiv_income < 0] = 0
-    household_count_people = simulation.selected_sim.calculate(
-        "household_count_people"
-    ).values
-    personal_hh_equiv_income.weights *= household_count_people
-    gini = personal_hh_equiv_income.gini()
-    in_top_10_pct = personal_hh_equiv_income.decile_rank() == 10
-    in_top_1_pct = personal_hh_equiv_income.percentile_rank() == 100
-
-    personal_hh_equiv_income.weights /= household_count_people
-
-    top_10_share = (
-        personal_hh_equiv_income[in_top_10_pct].sum()
-        / personal_hh_equiv_income.sum()
-    )
-    top_1_share = (
-        personal_hh_equiv_income[in_top_1_pct].sum()
-        / personal_hh_equiv_income.sum()
-    )
-
-    return SingleEconomyInequality(
-        gini=gini,
-        top_10_percent_share=top_10_share,
-        top_1_percent_share=top_1_share,
-    )
diff --git a/policyengine/outputs/macro/single/household/labor_supply.py b/policyengine/outputs/macro/single/household/labor_supply.py
deleted file mode 100644
index c2361330..00000000
--- a/policyengine/outputs/macro/single/household/labor_supply.py
+++ /dev/null
@@ -1,100 +0,0 @@
-from typing import Optional, List
-from pydantic import BaseModel, Field
-import numpy as np
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from policyengine import Simulation
-
-
-class SingleEconomyLaborSupply(BaseModel):
-    substitution_lsr: float = Field(
-        default=0, description="Substitution labor supply response"
-    )
-    income_lsr: float = Field(
-        default=0, description="Income labor supply response"
-    )
-    income_lsr_hh: List[float] = Field(
-        default_factory=list,
-        description="Household income labor supply response",
-    )
-    substitution_lsr_hh: List[float] = Field(
-        default_factory=list,
-        description="Household substitution labor supply response",
-    )
-    weekly_hours: float = Field(default=0, description="Weekly hours worked")
-    weekly_hours_income_effect: float = Field(
-        default=0, description="Weekly hours worked income effect"
-    )
-    weekly_hours_substitution_effect: float = Field(
-        default=0, description="Weekly hours substitution effect"
-    )
-    total_earnings: float = Field(
-        ..., description="Total employment and self-employment earnings"
-    )
-    total_workers: int = Field(..., description="Total number of workers")
-
-
-def has_behavioral_response(simulation: "Simulation") -> bool:
-    """Check if simulation has behavioral responses."""
-    sim = simulation.selected_sim
-    return (
-        "employment_income_behavioral_response"
-        in sim.tax_benefit_system.variables
-        and any(sim.calculate("employment_income_behavioral_response") != 0)
-    )
-
-
-def calculate_labor_supply(
-    simulation: "Simulation",
-) -> SingleEconomyLaborSupply:
-    """
-    Calculate labor supply response metrics.
-
-    Args:
-        simulation (Simulation): Policy simulation object.
-
-    Returns:
-        SingleEconomyLaborSupply: Labor supply response metrics.
-    """
-    sim = simulation.selected_sim
-    household_count_people = sim.calculate("household_count_people").values
-
-    # Initialize base metrics
-    labor_supply = SingleEconomyLaborSupply(
-        income_lsr_hh=(household_count_people * 0).astype(float).tolist(),
-        substitution_lsr_hh=(household_count_people * 0)
-        .astype(float)
-        .tolist(),
-        total_earnings=sim.calculate("employment_income").sum()
-        + sim.calculate("self_employment_income").sum(),
-        total_workers=int(
-            (sim.calculate("employment_income") > 0).sum()
-            + (sim.calculate("self_employment_income") > 0).sum()
-        ),
-    )
-
-    # Update behavioral response metrics if available
-    if has_behavioral_response(simulation):
-        labor_supply.substitution_lsr = sim.calculate(
-            "substitution_elasticity_lsr"
-        ).sum()
-        labor_supply.income_lsr = sim.calculate("income_elasticity_lsr").sum()
-        labor_supply.income_lsr_hh = sim.calculate(
-            "income_elasticity_lsr", map_to="household"
-        ).astype(float)
-        labor_supply.substitution_lsr_hh = sim.calculate(
-            "substitution_elasticity_lsr", map_to="household"
-        ).astype(float)
-
-    # Update US-specific metrics
-    if simulation.country == "us":
-        labor_supply.weekly_hours = sim.calculate("weekly_hours_worked").sum()
-        labor_supply.weekly_hours_income_effect = sim.calculate(
-            "weekly_hours_worked_behavioural_response_income_elasticity"
-        ).sum()
-        labor_supply.weekly_hours_substitution_effect = sim.calculate(
-            "weekly_hours_worked_behavioural_response_substitution_elasticity"
-        ).sum()
-
-    return labor_supply
diff --git a/policyengine/outputs/macro/single/single.py b/policyengine/outputs/macro/single/single.py
deleted file mode 100644
index a5138b5c..00000000
--- a/policyengine/outputs/macro/single/single.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import TYPE_CHECKING
-from pydantic import BaseModel
-
-if TYPE_CHECKING:
-    from policyengine import Simulation
-
-from .household import (
-    calculate_single_economy_household_sector,
-    SingleEconomyHouseholdSector,
-)
-
-
-class SingleEconomy(BaseModel):
-    household: SingleEconomyHouseholdSector
-
-
-def calculate_single_economy(sim: "Simulation") -> SingleEconomy:
-    return SingleEconomy(
-        household=calculate_single_economy_household_sector(sim),
-    )
diff --git a/policyengine/outputs/single.py b/policyengine/outputs/single.py
new file mode 100644
index 00000000..1ef4e7a9
--- /dev/null
+++ b/policyengine/outputs/single.py
@@ -0,0 +1,365 @@
+from policyengine_core.simulations import Microsimulation
+from typing import Dict
+
+from policyengine_us import Microsimulation
+from policyengine_uk import Microsimulation
+from dataclasses import dataclass
+
+
+@dataclass
+class UKProgram:
+    name: str
+    is_positive: bool
+
+
+class UKPrograms:
+    PROGRAMS = [
+        UKProgram("income_tax", True),
+        UKProgram("national_insurance", True),
+        UKProgram("vat", True),
+        UKProgram("council_tax", True),
+        UKProgram("fuel_duty", True),
+        UKProgram("tax_credits", False),
+        UKProgram("universal_credit", False),
+        UKProgram("child_benefit", False),
+        UKProgram("state_pension", False),
+        UKProgram("pension_credit", False),
+        UKProgram("ni_employer", True),
+    ]
+
+
+class GeneralEconomyTask:
+    def __init__(self, simulation: Microsimulation, country_id: str):
+        self.simulation = simulation
+        self.country_id = country_id
+        self.household_count_people = self.simulation.calculate(
+            "household_count_people"
+        )
+
+    def calculate_tax_and_spending(self):
+        if self.country_id == "uk":
+            total_tax = self.simulation.calculate("gov_tax").sum()
+            total_spending = self.simulation.calculate("gov_spending").sum()
+        else:
+            total_tax = self.simulation.calculate("household_tax").sum()
+            total_spending = self.simulation.calculate(
+                "household_benefits"
+            ).sum()
+        return total_tax, total_spending
+
+    def calculate_inequality_metrics(self):
+        personal_hh_equiv_income = self._get_weighted_household_income()
+
+        try:
+            gini = personal_hh_equiv_income.gini()
+        except Exception as e:
+            print(
+                "WARNING: Gini index calculations resulted in an error: returning no change, but this is inaccurate."
+            )
+            print("Error: ", e)
+            gini = 0.4
+
+        in_top_10_pct = personal_hh_equiv_income.decile_rank() == 10
+        in_top_1_pct = personal_hh_equiv_income.percentile_rank() == 100
+
+        personal_hh_equiv_income.weights /= self.household_count_people
+
+        top_10_share = (
+            personal_hh_equiv_income[in_top_10_pct].sum()
+            / personal_hh_equiv_income.sum()
+        )
+        top_1_share = (
+            personal_hh_equiv_income[in_top_1_pct].sum()
+            / personal_hh_equiv_income.sum()
+        )
+
+        return gini, top_10_share, top_1_share
+
+    def _get_weighted_household_income(self):
+        income = self.simulation.calculate("equiv_household_net_income")
+        income[income < 0] = 0
+        income.weights *= self.household_count_people
+        return income
+
+    def calculate_income_breakdown_metrics(self):
+        total_net_income = self.simulation.calculate(
+            "household_net_income"
+        ).sum()
+        employment_income_hh = (
+            self.simulation.calculate("employment_income", map_to="household")
+            .astype(float)
+            .tolist()
+        )
+        self_employment_income_hh = (
+            self.simulation.calculate(
+                "self_employment_income", map_to="household"
+            )
+            .astype(float)
+            .tolist()
+        )
+
+        return (
+            total_net_income,
+            employment_income_hh,
+            self_employment_income_hh,
+        )
+
+    def calculate_household_income_metrics(self):
+        household_net_income = (
+            self.simulation.calculate("household_net_income")
+            .astype(float)
+            .tolist()
+        )
+        equiv_household_net_income = (
+            self.simulation.calculate("equiv_household_net_income")
+            .astype(float)
+            .tolist()
+        )
+        household_income_decile = (
+            self.simulation.calculate("household_income_decile")
+            .astype(int)
+            .tolist()
+        )
+        household_market_income = (
+            self.simulation.calculate("household_market_income")
+            .astype(float)
+            .tolist()
+        )
+
+        return (
+            household_net_income,
+            equiv_household_net_income,
+            household_income_decile,
+            household_market_income,
+        )
+
+    def calculate_wealth_metrics(self):
+        try:
+            wealth = self.simulation.calculate("total_wealth")
+            wealth.weights *= self.household_count_people
+            wealth_decile = (
+                wealth.decile_rank().clip(1, 10).astype(int).tolist()
+            )
+            wealth = wealth.astype(float).tolist()
+        except Exception as e:
+            wealth = None
+            wealth_decile = None
+        return wealth, wealth_decile
+
+    def calculate_demographic_metrics(self):
+        try:
+            is_male = (
+                self.simulation.calculate("is_male").astype(bool).tolist()
+            )
+        except Exception:
+            is_male = None
+
+        try:
+            race = self.simulation.calculate("race").astype(str).tolist()
+        except Exception:
+            race = None
+
+        age = self.simulation.calculate("age").astype(int).tolist()
+
+        return is_male, race, age
+
+    def calculate_poverty_metrics(self):
+        in_poverty = (
+            self.simulation.calculate("in_poverty").astype(bool).tolist()
+        )
+        person_in_poverty = (
+            self.simulation.calculate("in_poverty", map_to="person")
+            .astype(bool)
+            .tolist()
+        )
+        person_in_deep_poverty = (
+            self.simulation.calculate("in_deep_poverty", map_to="person")
+            .astype(bool)
+            .tolist()
+        )
+        poverty_gap = self.simulation.calculate("poverty_gap").sum()
+        deep_poverty_gap = self.simulation.calculate("deep_poverty_gap").sum()
+        return (
+            in_poverty,
+            person_in_poverty,
+            person_in_deep_poverty,
+            poverty_gap,
+            deep_poverty_gap,
+        )
+
+    def calculate_weights(self):
+        person_weight = (
+            self.simulation.calculate("person_weight").astype(float).tolist()
+        )
+        household_weight = (
+            self.simulation.calculate("household_weight")
+            .astype(float)
+            .tolist()
+        )
+
+        return person_weight, household_weight
+
+    def calculate_labor_supply_responses(self):
+        result = {
+            "substitution_lsr": 0,
+            "income_lsr": 0,
+            "budgetary_impact_lsr": 0,
+            "income_lsr_hh": (self.household_count_people * 0)
+            .astype(float)
+            .tolist(),
+            "substitution_lsr_hh": (self.household_count_people * 0)
+            .astype(float)
+            .tolist(),
+        }
+
+        if not self._has_behavioral_response():
+            return result
+
+        result.update(
+            {
+                "substitution_lsr": self.simulation.calculate(
+                    "substitution_elasticity_lsr"
+                ).sum(),
+                "income_lsr": self.simulation.calculate(
+                    "income_elasticity_lsr"
+                ).sum(),
+                "income_lsr_hh": self.simulation.calculate(
+                    "income_elasticity_lsr", map_to="household"
+                )
+                .astype(float)
+                .tolist(),
+                "substitution_lsr_hh": self.simulation.calculate(
+                    "substitution_elasticity_lsr", map_to="household"
+                )
+                .astype(float)
+                .tolist(),
+            }
+        )
+
+        return result
+
+    def _has_behavioral_response(self) -> bool:
+        return (
+            "employment_income_behavioral_response"
+            in self.simulation.tax_benefit_system.variables
+            and any(
+                self.simulation.calculate(
+                    "employment_income_behavioral_response"
+                )
+                != 0
+            )
+        )
+
+    def calculate_lsr_working_hours(self):
+        if self.country_id != "us":
+            return {
+                "weekly_hours": 0,
+                "weekly_hours_income_effect": 0,
+                "weekly_hours_substitution_effect": 0,
+            }
+
+        return {
+            "weekly_hours": self.simulation.calculate(
+                "weekly_hours_worked"
+            ).sum(),
+            "weekly_hours_income_effect": self.simulation.calculate(
+                "weekly_hours_worked_behavioural_response_income_elasticity"
+            ).sum(),
+            "weekly_hours_substitution_effect": self.simulation.calculate(
+                "weekly_hours_worked_behavioural_response_substitution_elasticity"
+            ).sum(),
+        }
+
+    def calculate_uk_programs(self) -> Dict[str, float]:
+        if self.country_id != "uk":
+            return {}
+
+        return {
+            program.name: self.simulation.calculate(
+                program.name, map_to="household"
+            ).sum()
+            * (1 if program.is_positive else -1)
+            for program in UKPrograms.PROGRAMS
+        }
+
+
+def compute_general_economy(simulation, country_id: str) -> Dict:
+    task_manager = GeneralEconomyTask(simulation, country_id)
+
+    total_tax, total_spending = task_manager.calculate_tax_and_spending()
+    gini, top_10_share, top_1_share = (
+        task_manager.calculate_inequality_metrics()
+    )
+    wealth, wealth_decile = task_manager.calculate_wealth_metrics()
+    is_male, race, age = task_manager.calculate_demographic_metrics()
+    labor_supply_responses = task_manager.calculate_labor_supply_responses()
+    lsr_working_hours = task_manager.calculate_lsr_working_hours()
+    (
+        in_poverty,
+        person_in_poverty,
+        person_in_deep_poverty,
+        poverty_gap,
+        deep_poverty_gap,
+    ) = task_manager.calculate_poverty_metrics()
+    total_net_income, employment_income_hh, self_employment_income_hh = (
+        task_manager.calculate_income_breakdown_metrics()
+    )
+    (
+        household_net_income,
+        equiv_household_net_income,
+        household_income_decile,
+        household_market_income,
+    ) = task_manager.calculate_household_income_metrics()
+    person_weight, household_weight = task_manager.calculate_weights()
+
+    if country_id == "uk":
+        uk_programs = task_manager.calculate_uk_programs()
+    else:
+        uk_programs = {}
+
+    total_state_tax = 0
+
+    if country_id == "us":
+        try:
+            total_state_tax = simulation.calculate(
+                "household_state_income_tax"
+            ).sum()
+        except:
+            total_state_tax = 0
+
+    result = {
+        "total_net_income": total_net_income,
+        "employment_income_hh": employment_income_hh,
+        "self_employment_income_hh": self_employment_income_hh,
+        "total_tax": total_tax,
+        "total_state_tax": total_state_tax,
+        "total_benefits": total_spending,
+        "household_net_income": household_net_income,
+        "equiv_household_net_income": equiv_household_net_income,
+        "household_income_decile": household_income_decile,
+        "household_market_income": household_market_income,
+        "household_wealth_decile": wealth_decile,
+        "household_wealth": wealth,
+        "in_poverty": in_poverty,
+        "person_in_poverty": person_in_poverty,
+        "person_in_deep_poverty": person_in_deep_poverty,
+        "poverty_gap": poverty_gap,
+        "deep_poverty_gap": deep_poverty_gap,
+        "person_weight": person_weight,
+        "household_weight": household_weight,
+        "household_count_people": task_manager.household_count_people.astype(
+            int
+        ).tolist(),
+        "gini": float(gini),
+        "top_10_percent_share": float(top_10_share),
+        "top_1_percent_share": float(top_1_share),
+        "is_male": is_male,
+        "race": race,
+        "age": age,
+        **labor_supply_responses,
+        **lsr_working_hours,
+        "type": "general",
+        "programs": uk_programs,
+    }
+
+    return result
diff --git a/policyengine/reforms.py b/policyengine/reforms.py
new file mode 100644
index 00000000..8ab659ba
--- /dev/null
+++ b/policyengine/reforms.py
@@ -0,0 +1,29 @@
+import re
+from pydantic import RootModel, ValidationError, Field, model_validator
+from typing import Dict
+from annotated_types import Ge, Le
+from typing_extensions import Annotated
+from policyengine_core.reforms import Reform as StructuralReform
+
+# Define a constrained year type (1900-2100)
+Year = Annotated[int, Field(..., ge=1900, le=2100)]
+
+
+class YearlyValues(RootModel):
+    """Validates yearly values (e.g., {"2025": 0.25})."""
+
+    root: Dict[Year, float]  # Keys auto-converted from strings to integers
+
+
+class ParametricReform(RootModel):
+    """Validates parameter names and their yearly values."""
+
+    root: Dict[str, YearlyValues]
+
+    @model_validator(mode="before")
+    def validate_parameter_names(cls, data: dict) -> dict:
+        """Ensure parameter names match the allowed format."""
+        for param_name in data.keys():
+            if not re.match(r"^[a-zA-Z0-9\.]+$", param_name):
+                raise ValueError(f"Invalid parameter name: {param_name!r}")
+        return data
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index 82179e10..aec6dbfd 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -1,141 +1,120 @@
-from policyengine_core import Simulation as CountrySimulation
-from policyengine_core import Microsimulation as CountryMicrosimulation
+from pydantic import BaseModel, Field
+from typing import Literal
+from .constants import DEFAULT_DATASETS_BY_COUNTRY
+from policyengine_core.simulations import Simulation as CountrySimulation
+from policyengine_core.simulations import Microsimulation as CountryMicrosimulation
+from .reforms import ParametricReform
+from policyengine_core.reforms import Reform as StructuralReform
 from policyengine_core.data import Dataset
-from policyengine.utils.huggingface import download
-from policyengine_core.reforms import Reform
-from typing import Tuple, Any
-from policyengine.constants import *
-import pandas as pd
+from .utils.huggingface import download
+from policyengine_us import (
+    Simulation as USSimulation,
+    Microsimulation as USMicrosimulation,
+)
+from policyengine_uk import (
+    Simulation as UKSimulation,
+    Microsimulation as UKMicrosimulation,
+)
 import h5py
 from pathlib import Path
-from typing import Literal
-from policyengine.utils.typing import add_methods
-from policyengine.outputs.macro.single import calculate_single_economy
-
-methods_to_add = [
-    calculate_single_economy,
-]
-
+import pandas as pd
+from typing import Type
 
-@add_methods(methods_to_add)
-class Simulation:
-    """The top-level class through which all PE usage is carried out."""
+CountryType = Literal["uk", "us"]
+ScopeType = Literal["household", "macro"]
+DataType = str | None
+TimePeriodType = int
+ReformType = ParametricReform | None
+RegionType = str | None
+SubsampleType = int | None
 
-    country: Literal["uk", "us"]
-    """The country for which the simulation is being run."""
-    scope: Literal["macro", "household"]
-    """The type of simulation being run (macro or household)."""
-    data: dict | str | Dataset
-    """The dataset being used for the simulation."""
-    time_period: str | int
-    """The time period for the simulation. Years are applicable."""
-    baseline: dict | None
-    """The baseline simulation inputs."""
-    reform: dict | None
-    """The reform simulation inputs."""
-    options: dict
-    """Dynamic options for the simulation type."""
+class SimulationOptions(BaseModel):
+    country: CountryType = Field(
+        ..., description="The country to simulate."
+    )
+    scope: ScopeType = Field(
+        ..., description="The scope of the simulation."
+    )
+    data: DataType = Field(
+        None, description="The data to simulate."
+    )
+    time_period: TimePeriodType = Field(
+        ..., description="The time period to simulate.", ge=2024, le=2035
+    )
+    reform: ReformType = Field(
+        None, description="The reform to simulate."
+    )
+    baseline: ReformType = Field(
+        None, description="The baseline to simulate."
+    )
+    region: RegionType = Field(
+        None, description="The region to simulate within the country."
+    )
+    subsample: SubsampleType = Field(
+        None, description="How many, if a subsample, households to randomly simulate."
+    )
 
-    comparison: bool
-    """Whether we are comparing two simulations, or analysing a single one."""
-    baseline_sim: CountrySimulation
-    """The tax-benefit simulation for the baseline scenario."""
-    reformed_sim: CountrySimulation | None = None
-    """The tax-benefit simulation for the reformed scenario. None if no reform has been configured"""
-    selected_sim: CountrySimulation
-    """The selected simulation for the current calculation."""
-    verbose: bool = False
-    """Whether to print out progress messages."""
 
-    def __init__(
-        self,
-        country: Literal["uk", "us"],
-        scope: Literal["macro", "household"],
-        data: str | dict | None = None,
-        time_period: str | int = Literal[
-            2024, 2025, 2026, 2027, 2028, 2029, 2030
-        ],
-        reform: dict | None = None,
-        baseline: dict | None = None,
-        verbose: bool = False,
-        options: dict | None = None,
-    ):
-        """Initialise the simulation with the given parameters.
+class Simulation:
+    """Simulate tax-benefit policy."""
 
-        Args:
-            country (str): The country for which the simulation is being run.
-            type (str): The type of simulation being run (macro or household).
-            data (str): The dataset being used for the simulation.
-            time_period (str): The time period for the simulation. Years are applicable.
-            reform (dict): The reform simulation inputs.
-        """
-        self.country = country
-        self.scope = scope
-        self._set_dataset(data)
-        self.time_period = time_period
-        self.verbose = verbose
-        self.options = options or {}
-        self.baseline = baseline
-        self.reform = reform
+    is_comparison: bool
+    """Whether the simulation is a comparison between two scenarios."""
+    baseline_simulation: CountrySimulation
+    """The baseline simulation."""
+    reform_simulation: CountrySimulation = None
+    """The reform simulation."""
 
-        self.comparison = reform is not None
+    def __init__(self, options: SimulationOptions):
+        self.options = SimulationOptions(**options)
 
+        if self.options.data is None:
+            self.options.data = DEFAULT_DATASETS_BY_COUNTRY[
+                self.options.country
+            ]
+        
         self._initialise_simulations()
 
-    def _set_dataset(self, dataset: str | dict | None):
-        if isinstance(dataset, dict):
-            self.data = dataset
-            return
-
-        self.data = DEFAULT_DATASETS[self.country]
-        if dataset in DATASETS[self.country]:
-            self.data = DATASETS[self.country][dataset]
+    def _set_data(self):
+        if self.options.data is None:
+            self.options.data = DEFAULT_DATASETS_BY_COUNTRY[
+                self.options.country
+            ]
 
-        # Short-term hacky fix: handle legacy 'array' datasets that don't specify the year for each variable: we should transition these to variable/period/value format.
-        # But they're used frequently for now, and we need backwards compatibility.
-
-        if self.data is not None and "cps_2023" in self.data:
-            if "hf://" in self.data:
-                owner, repo, filename = self.data.split("/")[-3:]
-                if "@" in filename:
-                    version = filename.split("@")[-1]
-                    filename = filename.split("@")[0]
-                else:
-                    version = None
-                self.data = download(
-                    repo=owner + "/" + repo,
-                    repo_filename=filename,
-                    local_folder=None,
-                    version=version,
-                )
-                self.data = Dataset.from_file(self.data, "2023")
-
-    def _to_reform(self, value: int | dict):
-        if isinstance(value, dict):
-            return Reform.from_dict(value, country_id=self.country)
-        return Reform.from_api(f"{value}", country_id=self.country)
+        self._data_handle_cps_special_case()
 
     def _initialise_simulations(self):
-        from policyengine_us import (
-            Simulation as USSimulation,
-            Microsimulation as USMicrosimulation,
-        )
-        from policyengine_uk import (
-            Simulation as UKSimulation,
-            Microsimulation as UKMicrosimulation,
+        self.baseline_simulation = self._initialise_simulation(
+            country=self.options.country,
+            reform=self.options.baseline,
+            data=self.options.data,
+            time_period=self.options.time_period,
+            region=self.options.region,
+            subsample=self.options.subsample,
         )
 
-        self._parsed_reform = (
-            self._to_reform(self.reform) if self.reform is not None else None
-        )
-        self._parsed_baseline = (
-            self._to_reform(self.baseline)
-            if self.baseline is not None
-            else None
-        )
+        if self.options.reform is not None:
+            self.reform_simulation = self._initialise_simulation(
+                country=self.options.country,
+                reform=self.options.reform,
+                data=self.options.data,
+                time_period=self.options.time_period,
+                region=self.options.region,
+                subsample=self.options.subsample,
+            )
 
-        macro = self.scope == "macro"
-        _simulation_type = {
+    def _initialise_simulation(
+        self, 
+        country: CountryType,
+        scope: ScopeType,
+        reform: ReformType,
+        data: DataType,
+        time_period: TimePeriodType,
+        region: RegionType,
+        subsample: SubsampleType,
+    ):
+        macro = scope == "macro"
+        _simulation_type: Type[CountrySimulation] = {
             "uk": {
                 True: UKMicrosimulation,
                 False: UKSimulation,
@@ -144,74 +123,39 @@ def _initialise_simulations(self):
                 True: USMicrosimulation,
                 False: USSimulation,
             },
-        }[self.country][macro]
-        self.baseline_sim = _simulation_type(
-            dataset=self.data if macro else None,
-            situation=self.data if not macro else None,
-            reform=self._parsed_baseline,
-        )
-        if self.time_period is not None:
-            self.baseline_sim.default_calculation_period = self.time_period
-
-        if "region" in self.options and isinstance(
-            self.baseline_sim, CountryMicrosimulation
-        ):
-            self.baseline_sim = self._apply_region_to_simulation(
-                self.baseline_sim,
-                _simulation_type,
-                self.options["region"],
-                reform=self.baseline_sim.reform,
-            )
-
-        if "subsample" in self.options:
-            self.baseline_sim = self.baseline_sim.subsample(
-                self.options["subsample"]
-            )
-
-        if self.comparison:
-            if self._parsed_baseline is not None:
-                self._parsed_reform = (self._parsed_baseline, self.reform)
-            self.reformed_sim = _simulation_type(
-                dataset=self.data if macro else None,
-                situation=self.data if not macro else None,
-                reform=self._parsed_reform,
-            )
+        }[country][macro]
 
-            if self.time_period is not None:
-                self.reformed_sim.default_calculation_period = self.time_period
-            if "region" in self.options and isinstance(
-                self.reformed_sim, CountryMicrosimulation
-            ):
-                self.reformed_sim = self._apply_region_to_simulation(
-                    self.reformed_sim,
-                    _simulation_type,
-                    self.options["region"],
-                    reform=self._parsed_reform,
-                )
+        simulation: CountrySimulation = _simulation_type(
+            dataset=data if macro else None,
+            situation=data if not macro else None,
+            reform=reform,
+        )
 
-            if "subsample" in self.options:
-                self.reformed_sim = self.reformed_sim.subsample(
-                    self.options["subsample"]
-                )
+        simulation = self._apply_region_to_simulation(
+            country=country,
+            simulation=simulation,
+            simulation_type=_simulation_type,
+            region=region,
+        )
 
-            # Set the 'baseline tax-benefit system' to be the actual baseline. For example, when working out an individual's
-            # baseline MTR, it should use the actual policy baseline, not always current law.
+        simulation.default_calculation_period = time_period
 
-            self.reformed_sim.get_branch("baseline").tax_benefit_system = (
-                self.baseline_sim.tax_benefit_system
-            )
-            self.selected_sim = self.reformed_sim
-        else:
-            self.selected_sim = self.baseline_sim
+        if subsample is not None:
+            simulation = simulation.subsample(subsample)
+        
+        return simulation
 
+    
     def _apply_region_to_simulation(
         self,
+        country: CountryType,
         simulation: CountryMicrosimulation,
         simulation_type: type,
-        region: str,
-        reform: Reform = None,
-    ):
-        if self.country == "us":
+        region: RegionType,
+        reform: ReformType | None,
+        time_period: TimePeriodType,
+    ) -> CountrySimulation:
+        if country == "us":
             df = simulation.to_input_dataframe()
             state_code = simulation.calculate(
                 "state_code_str", map_to="person"
@@ -224,7 +168,7 @@ def _apply_region_to_simulation(
                 simulation = simulation_type(
                     dataset=df[state_code == state.upper()], reform=reform
                 )
-        elif self.country == "uk":
+        elif country == "uk":
             if "country/" in region:
                 region = region.split("/")[1]
                 df = simulation.to_input_dataframe()
@@ -266,7 +210,7 @@ def _apply_region_to_simulation(
                 )
 
                 with h5py.File(weights_file_path, "r") as f:
-                    weights = f[str(self.time_period)][...]
+                    weights = f[str(time_period)][...]
 
                 simulation.set_input(
                     "household_weight",
@@ -307,6 +251,22 @@ def _apply_region_to_simulation(
                     weights[la_id],
                 )
 
-        simulation.default_calculation_period = self.time_period
-
         return simulation
+
+    def _data_handle_cps_special_case(self):
+        """Handle special case for CPS data- this data doesn't specify time periods for each variable, but we still use it intensively."""
+        if self.data is not None and "cps_2023" in self.data:
+            if "hf://" in self.data:
+                owner, repo, filename = self.data.split("/")[-3:]
+                if "@" in filename:
+                    version = filename.split("@")[-1]
+                    filename = filename.split("@")[0]
+                else:
+                    version = None
+                self.data = download(
+                    repo=owner + "/" + repo,
+                    repo_filename=filename,
+                    local_folder=None,
+                    version=version,
+                )
+                self.data = Dataset.from_file(self.data, "2023")
diff --git a/policyengine/utils/typing.py b/policyengine/utils/typing.py
index 1c3749d0..1ca521ff 100644
--- a/policyengine/utils/typing.py
+++ b/policyengine/utils/typing.py
@@ -21,6 +21,13 @@ def decorator(cls: Type[T]) -> Type[T]:
             def wrapped(self: T, *args: P.args, **kwargs: P.kwargs) -> R:
                 return method(self, *args, **kwargs)
 
+            if getattr(method, "_example_simulation_parameters"):
+                setattr(
+                    wrapped,
+                    "_example_simulation_parameters",
+                    method._example_simulation_parameters,
+                )
+
             setattr(cls, method.__name__, wrapped)
         return cls
 

From ec2c9a7c4d3a7ddc77be66d220ffbe9cbbf5f9ba Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 11:54:54 +1100
Subject: [PATCH 16/32] Add fully-typed simulation starters

---
 policyengine/__init__.py                      |   2 +-
 .../outputs/calculate_economy_comparison.py   |  28 +-
 .../outputs/calculate_full_single_economy.py  | 365 ------------------
 policyengine/outputs/macro/single.py          |  77 ++++
 policyengine/reforms.py                       |  29 +-
 policyengine/simulation.py                    |  45 ++-
 policyengine/utils/calculations.py            |  25 ++
 policyengine/utils/reforms.py                 |  35 --
 policyengine/utils/typing.py                  |  34 --
 9 files changed, 170 insertions(+), 470 deletions(-)
 delete mode 100644 policyengine/outputs/calculate_full_single_economy.py
 create mode 100644 policyengine/outputs/macro/single.py
 create mode 100644 policyengine/utils/calculations.py
 delete mode 100644 policyengine/utils/reforms.py
 delete mode 100644 policyengine/utils/typing.py

diff --git a/policyengine/__init__.py b/policyengine/__init__.py
index 7311e3e3..7846d09b 100644
--- a/policyengine/__init__.py
+++ b/policyengine/__init__.py
@@ -1 +1 @@
-from .simulation import Simulation
\ No newline at end of file
+from .simulation import Simulation, SimulationOptions
\ No newline at end of file
diff --git a/policyengine/outputs/calculate_economy_comparison.py b/policyengine/outputs/calculate_economy_comparison.py
index 9de41801..c41325d2 100644
--- a/policyengine/outputs/calculate_economy_comparison.py
+++ b/policyengine/outputs/calculate_economy_comparison.py
@@ -3,6 +3,32 @@
     from policyengine import Simulation
 
 from pydantic import BaseModel
+from policyengine.utils.calculations import get_change
+
+from .macro.single import calculate_government_balance, FiscalSummary
+
+class FiscalComparison(BaseModel):
+    baseline: FiscalSummary
+    reform: FiscalSummary
+    change: FiscalSummary
+
+class EconomyComparison(BaseModel):
+    fiscal: FiscalComparison
 
 def calculate_economy_comparison(simulation: "Simulation"):
-    
\ No newline at end of file
+    if not simulation.is_comparison:
+        raise ValueError("Simulation must be a comparison simulation.")
+    
+    baseline = simulation.baseline_simulation
+    reform = simulation.reform_simulation
+    options = simulation.options
+
+    baseline_balance = calculate_government_balance(baseline, options)
+    reform_balance = calculate_government_balance(reform, options)
+    change = get_change(baseline_balance, reform_balance)
+    fiscal_comparison = FiscalComparison(baseline=baseline_balance, reform=reform_balance, change=change)
+
+    return EconomyComparison(
+        fiscal=fiscal_comparison,
+    )
+
diff --git a/policyengine/outputs/calculate_full_single_economy.py b/policyengine/outputs/calculate_full_single_economy.py
deleted file mode 100644
index 1ef4e7a9..00000000
--- a/policyengine/outputs/calculate_full_single_economy.py
+++ /dev/null
@@ -1,365 +0,0 @@
-from policyengine_core.simulations import Microsimulation
-from typing import Dict
-
-from policyengine_us import Microsimulation
-from policyengine_uk import Microsimulation
-from dataclasses import dataclass
-
-
-@dataclass
-class UKProgram:
-    name: str
-    is_positive: bool
-
-
-class UKPrograms:
-    PROGRAMS = [
-        UKProgram("income_tax", True),
-        UKProgram("national_insurance", True),
-        UKProgram("vat", True),
-        UKProgram("council_tax", True),
-        UKProgram("fuel_duty", True),
-        UKProgram("tax_credits", False),
-        UKProgram("universal_credit", False),
-        UKProgram("child_benefit", False),
-        UKProgram("state_pension", False),
-        UKProgram("pension_credit", False),
-        UKProgram("ni_employer", True),
-    ]
-
-
-class GeneralEconomyTask:
-    def __init__(self, simulation: Microsimulation, country_id: str):
-        self.simulation = simulation
-        self.country_id = country_id
-        self.household_count_people = self.simulation.calculate(
-            "household_count_people"
-        )
-
-    def calculate_tax_and_spending(self):
-        if self.country_id == "uk":
-            total_tax = self.simulation.calculate("gov_tax").sum()
-            total_spending = self.simulation.calculate("gov_spending").sum()
-        else:
-            total_tax = self.simulation.calculate("household_tax").sum()
-            total_spending = self.simulation.calculate(
-                "household_benefits"
-            ).sum()
-        return total_tax, total_spending
-
-    def calculate_inequality_metrics(self):
-        personal_hh_equiv_income = self._get_weighted_household_income()
-
-        try:
-            gini = personal_hh_equiv_income.gini()
-        except Exception as e:
-            print(
-                "WARNING: Gini index calculations resulted in an error: returning no change, but this is inaccurate."
-            )
-            print("Error: ", e)
-            gini = 0.4
-
-        in_top_10_pct = personal_hh_equiv_income.decile_rank() == 10
-        in_top_1_pct = personal_hh_equiv_income.percentile_rank() == 100
-
-        personal_hh_equiv_income.weights /= self.household_count_people
-
-        top_10_share = (
-            personal_hh_equiv_income[in_top_10_pct].sum()
-            / personal_hh_equiv_income.sum()
-        )
-        top_1_share = (
-            personal_hh_equiv_income[in_top_1_pct].sum()
-            / personal_hh_equiv_income.sum()
-        )
-
-        return gini, top_10_share, top_1_share
-
-    def _get_weighted_household_income(self):
-        income = self.simulation.calculate("equiv_household_net_income")
-        income[income < 0] = 0
-        income.weights *= self.household_count_people
-        return income
-
-    def calculate_income_breakdown_metrics(self):
-        total_net_income = self.simulation.calculate(
-            "household_net_income"
-        ).sum()
-        employment_income_hh = (
-            self.simulation.calculate("employment_income", map_to="household")
-            .astype(float)
-            .tolist()
-        )
-        self_employment_income_hh = (
-            self.simulation.calculate(
-                "self_employment_income", map_to="household"
-            )
-            .astype(float)
-            .tolist()
-        )
-
-        return (
-            total_net_income,
-            employment_income_hh,
-            self_employment_income_hh,
-        )
-
-    def calculate_household_income_metrics(self):
-        household_net_income = (
-            self.simulation.calculate("household_net_income")
-            .astype(float)
-            .tolist()
-        )
-        equiv_household_net_income = (
-            self.simulation.calculate("equiv_household_net_income")
-            .astype(float)
-            .tolist()
-        )
-        household_income_decile = (
-            self.simulation.calculate("household_income_decile")
-            .astype(int)
-            .tolist()
-        )
-        household_market_income = (
-            self.simulation.calculate("household_market_income")
-            .astype(float)
-            .tolist()
-        )
-
-        return (
-            household_net_income,
-            equiv_household_net_income,
-            household_income_decile,
-            household_market_income,
-        )
-
-    def calculate_wealth_metrics(self):
-        try:
-            wealth = self.simulation.calculate("total_wealth")
-            wealth.weights *= self.household_count_people
-            wealth_decile = (
-                wealth.decile_rank().clip(1, 10).astype(int).tolist()
-            )
-            wealth = wealth.astype(float).tolist()
-        except Exception as e:
-            wealth = None
-            wealth_decile = None
-        return wealth, wealth_decile
-
-    def calculate_demographic_metrics(self):
-        try:
-            is_male = (
-                self.simulation.calculate("is_male").astype(bool).tolist()
-            )
-        except Exception:
-            is_male = None
-
-        try:
-            race = self.simulation.calculate("race").astype(str).tolist()
-        except Exception:
-            race = None
-
-        age = self.simulation.calculate("age").astype(int).tolist()
-
-        return is_male, race, age
-
-    def calculate_poverty_metrics(self):
-        in_poverty = (
-            self.simulation.calculate("in_poverty").astype(bool).tolist()
-        )
-        person_in_poverty = (
-            self.simulation.calculate("in_poverty", map_to="person")
-            .astype(bool)
-            .tolist()
-        )
-        person_in_deep_poverty = (
-            self.simulation.calculate("in_deep_poverty", map_to="person")
-            .astype(bool)
-            .tolist()
-        )
-        poverty_gap = self.simulation.calculate("poverty_gap").sum()
-        deep_poverty_gap = self.simulation.calculate("deep_poverty_gap").sum()
-        return (
-            in_poverty,
-            person_in_poverty,
-            person_in_deep_poverty,
-            poverty_gap,
-            deep_poverty_gap,
-        )
-
-    def calculate_weights(self):
-        person_weight = (
-            self.simulation.calculate("person_weight").astype(float).tolist()
-        )
-        household_weight = (
-            self.simulation.calculate("household_weight")
-            .astype(float)
-            .tolist()
-        )
-
-        return person_weight, household_weight
-
-    def calculate_labor_supply_responses(self):
-        result = {
-            "substitution_lsr": 0,
-            "income_lsr": 0,
-            "budgetary_impact_lsr": 0,
-            "income_lsr_hh": (self.household_count_people * 0)
-            .astype(float)
-            .tolist(),
-            "substitution_lsr_hh": (self.household_count_people * 0)
-            .astype(float)
-            .tolist(),
-        }
-
-        if not self._has_behavioral_response():
-            return result
-
-        result.update(
-            {
-                "substitution_lsr": self.simulation.calculate(
-                    "substitution_elasticity_lsr"
-                ).sum(),
-                "income_lsr": self.simulation.calculate(
-                    "income_elasticity_lsr"
-                ).sum(),
-                "income_lsr_hh": self.simulation.calculate(
-                    "income_elasticity_lsr", map_to="household"
-                )
-                .astype(float)
-                .tolist(),
-                "substitution_lsr_hh": self.simulation.calculate(
-                    "substitution_elasticity_lsr", map_to="household"
-                )
-                .astype(float)
-                .tolist(),
-            }
-        )
-
-        return result
-
-    def _has_behavioral_response(self) -> bool:
-        return (
-            "employment_income_behavioral_response"
-            in self.simulation.tax_benefit_system.variables
-            and any(
-                self.simulation.calculate(
-                    "employment_income_behavioral_response"
-                )
-                != 0
-            )
-        )
-
-    def calculate_lsr_working_hours(self):
-        if self.country_id != "us":
-            return {
-                "weekly_hours": 0,
-                "weekly_hours_income_effect": 0,
-                "weekly_hours_substitution_effect": 0,
-            }
-
-        return {
-            "weekly_hours": self.simulation.calculate(
-                "weekly_hours_worked"
-            ).sum(),
-            "weekly_hours_income_effect": self.simulation.calculate(
-                "weekly_hours_worked_behavioural_response_income_elasticity"
-            ).sum(),
-            "weekly_hours_substitution_effect": self.simulation.calculate(
-                "weekly_hours_worked_behavioural_response_substitution_elasticity"
-            ).sum(),
-        }
-
-    def calculate_uk_programs(self) -> Dict[str, float]:
-        if self.country_id != "uk":
-            return {}
-
-        return {
-            program.name: self.simulation.calculate(
-                program.name, map_to="household"
-            ).sum()
-            * (1 if program.is_positive else -1)
-            for program in UKPrograms.PROGRAMS
-        }
-
-
-def compute_general_economy(simulation, country_id: str) -> Dict:
-    task_manager = GeneralEconomyTask(simulation, country_id)
-
-    total_tax, total_spending = task_manager.calculate_tax_and_spending()
-    gini, top_10_share, top_1_share = (
-        task_manager.calculate_inequality_metrics()
-    )
-    wealth, wealth_decile = task_manager.calculate_wealth_metrics()
-    is_male, race, age = task_manager.calculate_demographic_metrics()
-    labor_supply_responses = task_manager.calculate_labor_supply_responses()
-    lsr_working_hours = task_manager.calculate_lsr_working_hours()
-    (
-        in_poverty,
-        person_in_poverty,
-        person_in_deep_poverty,
-        poverty_gap,
-        deep_poverty_gap,
-    ) = task_manager.calculate_poverty_metrics()
-    total_net_income, employment_income_hh, self_employment_income_hh = (
-        task_manager.calculate_income_breakdown_metrics()
-    )
-    (
-        household_net_income,
-        equiv_household_net_income,
-        household_income_decile,
-        household_market_income,
-    ) = task_manager.calculate_household_income_metrics()
-    person_weight, household_weight = task_manager.calculate_weights()
-
-    if country_id == "uk":
-        uk_programs = task_manager.calculate_uk_programs()
-    else:
-        uk_programs = {}
-
-    total_state_tax = 0
-
-    if country_id == "us":
-        try:
-            total_state_tax = simulation.calculate(
-                "household_state_income_tax"
-            ).sum()
-        except:
-            total_state_tax = 0
-
-    result = {
-        "total_net_income": total_net_income,
-        "employment_income_hh": employment_income_hh,
-        "self_employment_income_hh": self_employment_income_hh,
-        "total_tax": total_tax,
-        "total_state_tax": total_state_tax,
-        "total_benefits": total_spending,
-        "household_net_income": household_net_income,
-        "equiv_household_net_income": equiv_household_net_income,
-        "household_income_decile": household_income_decile,
-        "household_market_income": household_market_income,
-        "household_wealth_decile": wealth_decile,
-        "household_wealth": wealth,
-        "in_poverty": in_poverty,
-        "person_in_poverty": person_in_poverty,
-        "person_in_deep_poverty": person_in_deep_poverty,
-        "poverty_gap": poverty_gap,
-        "deep_poverty_gap": deep_poverty_gap,
-        "person_weight": person_weight,
-        "household_weight": household_weight,
-        "household_count_people": task_manager.household_count_people.astype(
-            int
-        ).tolist(),
-        "gini": float(gini),
-        "top_10_percent_share": float(top_10_share),
-        "top_1_percent_share": float(top_1_share),
-        "is_male": is_male,
-        "race": race,
-        "age": age,
-        **labor_supply_responses,
-        **lsr_working_hours,
-        "type": "general",
-        "programs": uk_programs,
-    }
-
-    return result
diff --git a/policyengine/outputs/macro/single.py b/policyengine/outputs/macro/single.py
new file mode 100644
index 00000000..6c5e6ea7
--- /dev/null
+++ b/policyengine/outputs/macro/single.py
@@ -0,0 +1,77 @@
+import typing
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation, SimulationOptions
+
+from policyengine_core.simulations import Microsimulation
+
+from pydantic import BaseModel
+
+class TaxBenefitProgram(BaseModel):
+    name: str
+    """The name of the tax-benefit program."""
+    is_positive: bool
+    """Whether the program is positive on the *government* balance sheet."""
+
+UK_PROGRAMS = [
+    TaxBenefitProgram(name="income_tax", is_positive=True),
+    TaxBenefitProgram(name="national_insurance", is_positive=True),
+    TaxBenefitProgram(name="ni_employer", is_positive=True),
+    TaxBenefitProgram(name="vat", is_positive=True),
+    TaxBenefitProgram(name="council_tax", is_positive=True),
+    TaxBenefitProgram(name="fuel_duty", is_positive=True),
+    TaxBenefitProgram(name="tax_credits", is_positive=False),
+    TaxBenefitProgram(name="universal_credit", is_positive=False),
+    TaxBenefitProgram(name="child_benefit", is_positive=False),
+    TaxBenefitProgram(name="state_pension", is_positive=False),
+    TaxBenefitProgram(name="pension_credit", is_positive=False),
+]
+
+class FiscalSummary(BaseModel):
+    tax_revenue: float
+    """The total tax revenue collected by the government."""
+    federal_tax: float
+    """The total tax revenue collected by the federal (or national) government."""
+    state_tax: float
+    """The total tax revenue collected by the state government."""
+    government_spending: float
+    """The total spending by the government on modeled programs."""
+    tax_benefit_programs: dict[str, float]
+    """The total revenue change to the government from each tax-benefit program."""
+    household_net_income: float
+    """The total net income of the households in the simulation."""
+
+def calculate_government_balance(
+    simulation: Microsimulation,
+    options: "SimulationOptions",
+) -> FiscalSummary:
+    # Calculate the total tax and spending for the government
+    if options.country == "uk":
+        total_tax = simulation.calculate("gov_tax").sum()
+        total_spending = simulation.calculate("gov_spending").sum()
+        tb_programs = {}
+        for program in UK_PROGRAMS:
+            tb_programs[program.name] = simulation.calculate(program.name).sum() * (
+                1 if program.is_positive else -1
+            )
+        total_state_tax = 0
+    else:
+        total_tax = simulation.calculate("household_tax").sum()
+        total_spending = simulation.calculate(
+            "household_benefits"
+        ).sum()
+        total_state_tax = simulation.calculate(
+            "household_state_income_tax"
+        ).sum()
+    
+    national_tax = total_tax - total_state_tax
+
+    total_net_income = simulation.calculate("household_net_income").sum()
+    
+    return FiscalSummary(
+        tax_revenue=total_tax,
+        federal_tax=national_tax,
+        state_tax=total_state_tax,
+        government_spending=total_spending,
+        tax_benefit_programs=tb_programs,
+        household_net_income=total_net_income,
+    )
\ No newline at end of file
diff --git a/policyengine/reforms.py b/policyengine/reforms.py
index 8ab659ba..d18448ba 100644
--- a/policyengine/reforms.py
+++ b/policyengine/reforms.py
@@ -1,29 +1,16 @@
 import re
 from pydantic import RootModel, ValidationError, Field, model_validator
-from typing import Dict
+from typing import Dict, TYPE_CHECKING
 from annotated_types import Ge, Le
 from typing_extensions import Annotated
-from policyengine_core.reforms import Reform as StructuralReform
-
-# Define a constrained year type (1900-2100)
-Year = Annotated[int, Field(..., ge=1900, le=2100)]
-
-
-class YearlyValues(RootModel):
-    """Validates yearly values (e.g., {"2025": 0.25})."""
-
-    root: Dict[Year, float]  # Keys auto-converted from strings to integers
+from typing import Callable
+from policyengine_core.simulations import Simulation
 
 
 class ParametricReform(RootModel):
-    """Validates parameter names and their yearly values."""
-
-    root: Dict[str, YearlyValues]
+    """A reform that just changes parameter values."""
+    root: Dict[str, Dict | float | bool]
 
-    @model_validator(mode="before")
-    def validate_parameter_names(cls, data: dict) -> dict:
-        """Ensure parameter names match the allowed format."""
-        for param_name in data.keys():
-            if not re.match(r"^[a-zA-Z0-9\.]+$", param_name):
-                raise ValueError(f"Invalid parameter name: {param_name!r}")
-        return data
+class SimulationAdjustment(RootModel):
+    """A reform that changes the simulation in some way."""
+    root: Callable[[Simulation], None]
\ No newline at end of file
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index aec6dbfd..3f898ec6 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -3,7 +3,7 @@
 from .constants import DEFAULT_DATASETS_BY_COUNTRY
 from policyengine_core.simulations import Simulation as CountrySimulation
 from policyengine_core.simulations import Microsimulation as CountryMicrosimulation
-from .reforms import ParametricReform
+from .reforms import ParametricReform, SimulationAdjustment
 from policyengine_core.reforms import Reform as StructuralReform
 from policyengine_core.data import Dataset
 from .utils.huggingface import download
@@ -24,7 +24,7 @@
 ScopeType = Literal["household", "macro"]
 DataType = str | None
 TimePeriodType = int
-ReformType = ParametricReform | None
+ReformType = ParametricReform | SimulationAdjustment | Type[StructuralReform] | None
 RegionType = str | None
 SubsampleType = int | None
 
@@ -56,14 +56,13 @@ class SimulationOptions(BaseModel):
 
 
 class Simulation:
-    """Simulate tax-benefit policy."""
-
+    """Simulate tax-benefit policy and derive society-level output statistics."""
     is_comparison: bool
     """Whether the simulation is a comparison between two scenarios."""
     baseline_simulation: CountrySimulation
-    """The baseline simulation."""
-    reform_simulation: CountrySimulation = None
-    """The reform simulation."""
+    """The baseline tax-benefit simulation."""
+    reform_simulation: CountrySimulation | None = None
+    """The reform tax-benefit simulation."""
 
     def __init__(self, options: SimulationOptions):
         self.options = SimulationOptions(**options)
@@ -85,6 +84,7 @@ def _set_data(self):
 
     def _initialise_simulations(self):
         self.baseline_simulation = self._initialise_simulation(
+            scope=self.options.scope,
             country=self.options.country,
             reform=self.options.baseline,
             data=self.options.data,
@@ -95,6 +95,7 @@ def _initialise_simulations(self):
 
         if self.options.reform is not None:
             self.reform_simulation = self._initialise_simulation(
+                scope=self.options.scope,
                 country=self.options.country,
                 reform=self.options.reform,
                 data=self.options.data,
@@ -102,6 +103,9 @@ def _initialise_simulations(self):
                 region=self.options.region,
                 subsample=self.options.subsample,
             )
+            self.is_comparison = True
+        else:
+            self.is_comparison = False
 
     def _initialise_simulation(
         self, 
@@ -125,24 +129,39 @@ def _initialise_simulation(
             },
         }[country][macro]
 
+        if isinstance(reform, ParametricReform):
+            reform = reform.model_dump()
+        
+        simulation_editing_reform = None
+
+        if isinstance(reform, SimulationAdjustment):
+            simulation_editing_reform = reform.root
+            reform = None
+
         simulation: CountrySimulation = _simulation_type(
             dataset=data if macro else None,
             situation=data if not macro else None,
             reform=reform,
         )
 
-        simulation = self._apply_region_to_simulation(
-            country=country,
-            simulation=simulation,
-            simulation_type=_simulation_type,
-            region=region,
-        )
+        if region is not None:
+            simulation = self._apply_region_to_simulation(
+                country=country,
+                simulation=simulation,
+                simulation_type=_simulation_type,
+                region=region,
+                reform=reform,
+                time_period=time_period,
+            )
 
         simulation.default_calculation_period = time_period
 
         if subsample is not None:
             simulation = simulation.subsample(subsample)
         
+        if simulation_editing_reform is not None:
+            simulation_editing_reform(simulation)
+        
         return simulation
 
     
diff --git a/policyengine/utils/calculations.py b/policyengine/utils/calculations.py
new file mode 100644
index 00000000..7f520b0b
--- /dev/null
+++ b/policyengine/utils/calculations.py
@@ -0,0 +1,25 @@
+from typing import Dict
+from pydantic import BaseModel
+
+Output = Dict[str, float]
+
+def get_change(
+    x: Output | Dict[str, Output],
+    y: Output | Dict[str, Output],
+) -> Output | Dict[str, Output]:
+    """Take two objects of nested str-float relations and create a similarly-structured object with the differences."""
+    if isinstance(x, BaseModel):
+        output_class = type(x)
+        x = x.model_dump()
+    else:
+        output_class = dict
+    if isinstance(y, BaseModel):
+        y = y.model_dump()
+    result = {}
+    for key in x:
+        if isinstance(x[key], dict):
+            result[key] = get_change(x[key], y[key])
+        else:
+            result[key] = y[key] - x[key]
+    
+    return output_class(**result)
\ No newline at end of file
diff --git a/policyengine/utils/reforms.py b/policyengine/utils/reforms.py
deleted file mode 100644
index 3e67e1ec..00000000
--- a/policyengine/utils/reforms.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from policyengine_core.model_api import *
-from policyengine_core.periods import instant
-from typing import List
-
-
-def index_parameters(
-    parameters: List[str], index: str, start_year: int, end_year: int
-):
-    """Create a reform that indexes parameters to a given index (e.g. inflation).
-
-    Args:
-        parameters (List[str]): The parameters to index.
-        index (str): The index to use.
-        start_year (int): The first year that will be added as an indexed entry.
-        end_year (int): The last year that will be added as an indexed entry.
-
-    Returns:
-        Reform: A reform that indexes the given parameters to the index.
-    """
-
-    class reform(Reform):
-        def apply(self):
-            index_p = self.parameters.get_child(index)
-            for parameter in parameters:
-                param = self.parameters.get_child(parameter)
-                for year in range(start_year, end_year + 1):
-                    param.update(
-                        start=instant(year),
-                        stop=instant(year + 1),
-                        value=param(start_year - 1)
-                        * index_p(year)
-                        / index_p(start_year - 1),
-                    )
-
-    return reform
diff --git a/policyengine/utils/typing.py b/policyengine/utils/typing.py
deleted file mode 100644
index 1ca521ff..00000000
--- a/policyengine/utils/typing.py
+++ /dev/null
@@ -1,34 +0,0 @@
-from typing import Callable, Type, TypeVar, ParamSpec
-from functools import wraps
-
-T = TypeVar("T")
-P = ParamSpec("P")
-R = TypeVar("R")
-
-
-def add_methods(methods: list[Callable]) -> Callable[[Type[T]], Type[T]]:
-    """
-    Class decorator that adds methods to a class while preserving their metadata.
-
-    Args:
-        methods: List of functions to add as methods
-    """
-
-    def decorator(cls: Type[T]) -> Type[T]:
-        for method in methods:
-
-            @wraps(method)
-            def wrapped(self: T, *args: P.args, **kwargs: P.kwargs) -> R:
-                return method(self, *args, **kwargs)
-
-            if getattr(method, "_example_simulation_parameters"):
-                setattr(
-                    wrapped,
-                    "_example_simulation_parameters",
-                    method._example_simulation_parameters,
-                )
-
-            setattr(cls, method.__name__, wrapped)
-        return cls
-
-    return decorator

From 374399e552572009d285f4e0c07f80568e33648b Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 13:00:00 +1100
Subject: [PATCH 17/32] Update docs

---
 docs/.DS_Store                                | Bin 0 -> 6148 bytes
 docs/_config.yml                              |  31 +++++++++
 docs/_static/style.css                        |  15 +++++
 docs/_toc.yml                                 |   6 ++
 docs/index.md                                 |   2 +
 docs/logo.png                                 | Bin 0 -> 10188 bytes
 policyengine/__init__.py                      |   2 +-
 policyengine/outputs/compare.py               |   4 +-
 .../calculate_economy_comparison.py           |  32 +++++++--
 policyengine/outputs/macro/single.py          |  62 +++++++++++++++---
 policyengine/simulation.py                    |  57 +++++++++-------
 policyengine/utils/calculations.py            |   5 +-
 policyengine/{ => utils}/reforms.py           |   5 +-
 13 files changed, 175 insertions(+), 46 deletions(-)
 create mode 100644 docs/.DS_Store
 create mode 100644 docs/_config.yml
 create mode 100644 docs/_static/style.css
 create mode 100644 docs/_toc.yml
 create mode 100644 docs/index.md
 create mode 100644 docs/logo.png
 rename policyengine/outputs/{ => macro}/calculate_economy_comparison.py (51%)
 rename policyengine/{ => utils}/reforms.py (78%)

diff --git a/docs/.DS_Store b/docs/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..cbf579b9b41a59a34296108fa2bf86266d5b9020
GIT binary patch
literal 6148
zcmeHKI|>3Z5S>vG!N$@uSMUZw^aOhVMFbH<LC|_D&*jm4^J#Ro(?;IF<Rz1N33<iN
zj)>^|vYm-cL}Uavl$#A*vwic9^)jMBIL<i8_S&3}htqM_$$lR&?od{;k&EnK__jx*
z0#twsPys4H1-`35*4NSayT|f0DnJGPKmq$c6u4ncYy<t%fx%k<-~eGa%)OTY77GAt
zVjGAEOoIvxs%DF!K}Wn~UQKKRgD#rQhvv<i9g6zxIKOzhXbt2@1*pKY0{vJ{to|?I
zANv1i5?54!3jCD<I#@J|Ii8fYwevWuwFSP0Th1MBhPhKPcsT}oImW`u@zj$duh<;>
WHL(qJI^s?T@@K$wp;3WfEARkPw-tr}

literal 0
HcmV?d00001

diff --git a/docs/_config.yml b/docs/_config.yml
new file mode 100644
index 00000000..8fa2c6b7
--- /dev/null
+++ b/docs/_config.yml
@@ -0,0 +1,31 @@
+# _config.yml
+author: PolicyEngine
+title: PolicyEngine
+copyright: "2025"
+logo: logo.png
+
+execute:
+  execute_notebooks: cache
+  stderr_output: error
+  timeout: 600
+
+repository:
+  url: https://github.com/policyengine/policyengine.py
+  branch: master
+  path_to_book: docs
+
+title: Python documentation
+
+sphinx:
+  config:
+    html_js_files:
+      - https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.js
+    html_theme: furo
+    pygments_style: default
+    html_css_files:
+      - style.css
+  extra_extensions:
+    - "sphinx.ext.autodoc"
+    - "sphinxcontrib.autodoc_pydantic"
+
+only_build_toc_files: true
\ No newline at end of file
diff --git a/docs/_static/style.css b/docs/_static/style.css
new file mode 100644
index 00000000..80baddf8
--- /dev/null
+++ b/docs/_static/style.css
@@ -0,0 +1,15 @@
+@import url('https://fonts.googleapis.com/css2?family=Roboto+Serif:opsz@8..144&family=Roboto:wght@300&display=swap');
+
+
+h1, h2, h3, h4, h5, p.rubric {
+    font-family: "Roboto";
+    font-weight: 200;
+}
+
+body {
+    font-family: "Roboto Serif";
+}
+
+.sidebar-brand-text {
+    text-align: left;
+}
diff --git a/docs/_toc.yml b/docs/_toc.yml
new file mode 100644
index 00000000..097c1d8e
--- /dev/null
+++ b/docs/_toc.yml
@@ -0,0 +1,6 @@
+format: jb-book
+root: index
+parts:
+  - caption: Reference
+    chapters:
+    - file: reference/simulation
diff --git a/docs/index.md b/docs/index.md
new file mode 100644
index 00000000..080864a1
--- /dev/null
+++ b/docs/index.md
@@ -0,0 +1,2 @@
+# PolicyEngine Python interface
+
diff --git a/docs/logo.png b/docs/logo.png
new file mode 100644
index 0000000000000000000000000000000000000000..12736e4dce8158bb6ed2557a2bf9d0856811758e
GIT binary patch
literal 10188
zcmd5?_divC{J+^Fgp@KXD=Sg<Ohxw0$4*7|&A8U(ULy&~N*QHla}}=3y=G)bcE&Zb
z@8#OA?R(t%{_y<|z8(+by07y-ukn06U*p_J13e7}x~p^`5QyQC=6xd&h<pzCyO)Lv
z_!&6K;Sc<xeW_{g1p?8to_(JKrG8=u{&~*JNaG#|(Zjh6yr6iYrmF@5eT$_(vZDln
z1nnN(S2OWDw~FocG%>4M+(7Dak3Ok3EL!r2nD3~2_tiu%TSLinlj4$ou(w#vd2fn8
zv={V2=i{s%T15&<z=9d)sF!%%)LucK`wxfJdzfOM*okbFV0`oDz9*{~5rR(OD$MM3
zo#iL1&rf$Ppj>QsS|e;rdUcLdcSPf_49o@HO);#va{3}qa%=N+>UbY<c&tP$Rw8a8
zEOrx9cNL7s*5Lk5W}y3h)}x=ePfm~1ou#D)d)fre(^4I6E1L9Eyboe!#NFrt+pem=
z_(&+xdcgk_`l04)GM~HG*l3!(6mq-)SuM!Ek#@AQToJA_pg;IpiS_db%|S|UVy|2L
z%6Lx-k^9cZ)=6LgSX7kmk(@U58WsoMIF`j!PI^rVDy95aj%~?YR=Fjv0~c;~Ju%IK
zvfyl4`Ij+I;0*(hs*1f|N~3D)pM3bKnR!RI3g^iyiwbND>YlM3-!6fQ-CVxAd+QXv
zdrLCQR{zB*F+$;Vb_(#ljwr;k7H?#jG7dwV5ULBD$ge1JRqGNgZ10Tfx~{ufiaeYJ
z@r_XH6QMc!arP%te79p{QmUrwRW41yUktcap(fU_;QmF0+cnNbQj%GV`RU-A3|Zc*
z;Tv%y@!hA-EUz~5Brv2aHxwn5CM&Fb>*ibN=j1_~_v%2yLOND9KQc``t+Nh?EZgw-
zV5u=TL#W92TaLYLgxxt?n^kN~vBF!8UIn|ol3BjH8gMn%_H!VbIL%{kYtZLjzMAE#
zV5Y?nBQS3}k1dHW(y3FRgV+)H1k6~RQgUnNXlX0xg&OFnmD+=N)jMc!`$dDY*)yNw
z+IXl~Nhg|<hi(s%YA{^fhWFpIt6IB{^PYPR0tF8jJ>xy)vh7f!i*{!vevP#21M3~X
z9yfdTv{K_WJG>s^<>S9<NQ~aOa?Ya1w6N?FcZ==jING}`#2(RgC+PuklEMsX>Q;gI
zYTmiHDSI@d{dVL}_nh>WJP7278l&Ev;y`+$zwXVC=+Z>j;}$~qMozwFt?-^u3t*cX
zVV@2ISMxw(bGFX{K|ZE9OMA)<70Id2lN_eEMxo6w{VmD%M=)v!TTv#z_SP<0CaKoT
zpFE%46gvk3l@5PZg|(OOOUmTl-YcpuL)XMC*P0~Tm;WgynsoIE5O|$ovhCb#L6EsU
zS7Zq!g%MVFmz(a2R@vhXh`sE4A$ZyI1e*&W(64}>=jR$W()xF_P|Ee4d%R7iKSYcn
z&<ex5U0lI?h4W;0CJL<O63dF~m5<S!jH@#mUAB;1)#FkZr~_JPCXbq&mOJ&*fL~l%
z!*#Y+CQqm*ajX8!w=RCXJWMw@^j1d}>bE9d;L~o8UF*ucE`y&)0@ePUu^TNKd=-=K
ztL(Skw+P1wQ92WXWvFV-fr6{A^0e3GXc;D{@6Wtnh{&56`sg_-oW-eo2Q|0IKe+u>
zl*65k%Qa1UI!4VM1ma~XrJ0+wv)mamb+hGB9-k^91Pvx$f1hLi&`#&ef|=wB{`&Yx
z+MR#Ww@PW}BGApgyCRn_2F;h^n#c8e9@iMZ6DY7uJK)d}loZ;gy{LO-y_Hu61d97u
zMY*|Qvfeu^%nD00^oJsw73P)BITv99^T*>Pl#RUe4OppaZ?`jmKy!tVkO`?It%*mj
zV-BaLMV_auvNvtxxuRfVKaCyp4UVb*$>k@7SOp?;R}>;e(gql?E2ljL*JXCJbGfZ4
zI3vKu?{2pgM+N2^#LrYA$S2w70K(lI9#$34QHbP!>>i;{jQ+hs#4_$y9bUH`=$?4}
zUoX$``YCk#@H$cBv_a8a+BVmPtZ}@>*%-!kcl7R1=}4(A%F%tVsQe+#x3VA}y7MRq
z=U?*-UYUfNA4x0f=IPGqyGzN7&HhSldp?~bykB&&8@x?L-sNOmI3D?1rek!#^4K!E
zZL&Ld%qybb%eL2wk&dy9)|H65<VDY}s(7_7cRa#{BfS4PbTJ(~tDIglzZ0%FJWoI4
zV@fwoUCWR^S;v0j@s_IAZQk0$A&vtC61w-27hdaOZ|W)SyawA1R6fWv*)hI(E$%Q&
zizTJ(``*l>*~3&p-|8Cdriv#WD3>c3BzPNhG;dnr`tbTDd7b<VJzIs2Yoqa>F(0e=
zP!KuXMYL&)S_;p)G^UbJe9FY%-4~47N=Qr&o8Xo@3sJ3_n8on1z%W?Lmtb?!i1O1C
z6~JakQ0&K~w;=Y?CVkS5y%Jw<eBAGa<mW6hjgQ_CCiXpO9N$~hPZG5tb`}UD&`ZOE
zfB5W<9%$hE>-wl!^s~0^;H3UyE0Z0GQ9n6uowv;M(aXk`b_W<0RF{5TU=-q>!c?-L
zN8u@D$!o4wHg5v??c^VG2*pvG`PZ=*lPS?X7hcSGD>7lY2ie~v%+uc<p5KF^v6{X0
zW=qElMNEFr;>I_e1Y=&VGJt}8isubbg1%+jSPb`~&1AJ(-Gy1{cE8oU`ppl-ubCT3
zul%wmP$8S_cTAG#{pndkm@xIJSf0AaKQ5Px$A<bXu0VPAP^^a%Yi>n~XPOIo#VNrx
zKp@q)F+Fo0l=4HGD8Mab+2)>x+21&Bi-5r_3hzH2x64hNKIKkMQIP1y$m2$G$2Q86
z_TrYxj^4Ai*v?Vc?h`daf7DSmpCyh#rG?6FHyHP{QkijTbnQ_OqsT3#$fj){=H_i1
z@BW{sX-S8`c|%XF1;258Tac^OeX$p<G7+H7W`n|x)lI*6xhJAxPqlFa)|kd~@8--q
zs#?lux%O4sun7>T@%E5>+@bF0`!tc}9}c$~b4+alO>Z9O8y6dqHSEV44<#&zdBfF$
zqt?m4KQ(DPJ`mdc+TB2vS7_t6)AWTWJ#P^^)42Z``tccKXmobKza)z?!>cN1KiYd}
zyz{KX`U}oaV5GC?<%1IENG%UvVhGAZO}G=1AZd{l<Pv!O;2zD9#)Vr&Mk<BL<db}$
zGqqIBoq5`s))FGzmUK=;<x&q_-IVoqbWxoM?;j=3eO2#pG%6Az6{h~%+qCg62#XUn
zuF$=B;Bp6`kLaWzWqPN{Dc!y%OC_z(P!f?}|IsJsm*E!Ia%y=hOLOR+B8x36uh1uM
z*nNFBG+O?TPu>?Yhgki9C4htzymF;$4;-?mOzbPTina8{<%OHd{b_Ui%d}0=&e@E9
z9Jrr}NA%}C$w44{m;1cF97X;4R1JE*`^E0>eIW5g$a@b95-iPv%L`%GLnda7UXDZ3
z9$@HZ8O`+mk!_~c&w{w($GhU2Aq)X5j*2xk7DFiS^;#Y~_5trt%k7QN87)7BF};?j
z&KH*XQR^PX{f}uVe^#p_Ix_fzBj+C5>EEG6)SKr`Y5r&lnEPbNuMzp0dS(iqgXgoH
zR~g3;qBz$Vn4X%Hv(dJkf$2igHFa$HS6!r&dzw>)oj#d)|7e16)JD5pUpk2Y8_gCM
z3tQ1_{KdP|KbbtesBboXHYM4Z1;pbxPo#SF*PKE}lb<?!)iQ_a6JdE#$B8O#0Yj1L
zE9;Fejx0yVBg^eoyiwPwYGZiRJ4o<lKr+oW+YKkG=2eNvz3F32OIh&z??Q8do6^e*
zi7GlX{&Pb5|M|wKNX(wRw5nn9)1JGZ_}ey|RF6JTRhDQZCy1nKCpA+Z(-3pqEQ`9!
zr^&<A4n9HWgsgmL7Q7v)wUd~-aiYV)GDK<E<@zgUG+&fA91?hResuk(sSRtlsY280
zSAVWcE!hH1YZ=bcH&mObmJ6rDc$40KnCEP{y1wA8Vqw9-0DgAHrUlt!RGZC*qfJ8_
zLZ$I#b`DLYzfGYNqh0c!3#V0|n%@iO3?C3Z;?+!a=1CqhFF6Mm_Qcvo+x@-Pg36Pp
zH9{TAo+D3?4s41g1gwrrr^R0o9-3O=Q5;WF{h;~l89w+?^%~|1?R#^yNc)4qbKvC@
zbyC3=F0$q&ss}s`_qf$d+mV+wFtr8cv=oI6lw5lJqhHfjdz#P0`yrVwm(D7kC#zdy
znnGKWDk(z#nz;gj7koLgqw70ozWZGiIMB5T^ABW$OVB_y#5%Y9wiYLQGsDP-8uiGY
zkhvc>teswYQr3X{Z(qFvy+uAb;j(-q@|QdJcP7tqk|}RQW#f8}@t-L>A_b(CfX@Aq
zgA!|6BwGs{dU$=GVd09;#DWL!wZZa?FH{qY8w&IVsx@UIu}bQzj?-!v-?j0i_K0IQ
z$S1FNpHF#P_D-d~iv&R1m%OO^GW>!IX<F76UTnXYj;LG~-C^VdRMO`eQwX!*uGbl=
z@4oL}VY*f(=71IvdIc1rPXWa2B=5Svpt!~0$GHC-_q9oD(3!a%8{dHdsp?&4^i#M^
za-kwpGOnVjD4j_o_8WPyS+wl*>hFK0AFXOLNTq#4F>FF~lnqov6GV5<`n9-pB+vSS
z@>V#6abL|nh;#-gQasMLMSRdcEI0KhP4FiQDuqN9dOFD7Sdb;%G!r<(Rf5!~6x)YP
zxNoo7-27sSt-MP<n!Ohye335iQq@D#IsMS@`{%$Gs=j0-Mq{?P*uL628zWL2y65M5
zB{=lr?dce~8*Pbvp9jc5pwLRbxXV1P#;X)&?NS346xJwz{<s{7iQ7YiD8+yDbg^(F
zWa2&|$>_@3`7rXD)E-TS<fTIv)hqA9S&}z7H{`oq8aYTei@(az9@MTq)RQFresO<m
zIwqSRQj>F4+HjI9_2m?I_&}o^lY^b{7_&g^IWP%64_vHxM+|?oxO?|}QZ^d|q0Baj
zoa)6gglEfIO0ViNT0x5M8_OHCGnpFx%V2&lu=}sW%)Toecc`ZL`HtM8<=`Rek~Wh+
zbDpf(iMtO#h3o3%iE9)>$&ssCnS~|N5e_jIz5Z!<1t64I;Xlix1MtZjsM9wi-_ry>
zN3TW8rx^OQB*yt>SBV>0cXIB%`|fnf#{8$`*l^dSXaBA>H!94pA6E;)YgsY*NQ;BD
zADBxYb*ydQJKw)pPlgg>n=g7>XDFr;ETCmd7moMNJ0R!Kyf73?nQL4zp4Xp9Yo9l@
zN($h6-g~^gi+xh=5y%(WP;uNbmVaEy_GhPje}??lq&wSKU#z<B!KDwTLDQw)yuMBc
zvwi<nfl_iYWEWSbM-gAvwB9`T<_#|&byT%&#K(2QX@J^A8%n-E8>78QS#~jpEI&H~
zogpl@gTlP@3b=4B?j@Mjew`Q#%)8aR`K-3|a_GnXQ$=mpt^s3kQSL_XwOdJLjg-ZN
zUj=rH*mR1n!e%nr4}5zPj<P#jwSWwWl{aqD@n}hk7Q3$BD_%<c5|v=MqkNuq*ifJ=
zwBc0pkuozN^@NOKvo<A2BuhuwJVdH1bn4dX?<x>~9}U-4XKCA={IlC-rqayGMSq*|
zRXB+@9bfMin=+@VfkMADzk<9kkUFxr{I1LM<&Yi#C+O3K5XBd|*!8q!)3X{l=r!9X
ze_|17vA5OE6mjcJLJ)A|=pMJfUy`CBEmLDW=cE%8kMu_;KLwQw?Jf23Plk(EN~i%r
zlS?7Bpxe?%CmUL`(i>XU;<pPFFJ!u=wj3zGtq>QugR0$~1twfuvn9ycxnMQkTa6|~
z@zO^Dbt{;;*`KhziZ)Yw;znz(+c~WdjOj!y(fifnn~!GvzNc9H$uB+8G?@Wio*rPr
zl~J)cDJqZEr2x(esl6}@?VoYO!<v;e;WqIJ-eyO3!4HebHjg|^nwKmhJAxv=yK6PI
zMu4gg{;chf&`DVua424l*ixX!-Wq;!c1F@Y-dmcVphf96w~Fax0?{gn?+<=0w=<k8
zx^6QbK+MTSerNm{*!~##Q|1`nI%6e6O`em>1vvUC%^YRQ)uVE@e6e8^bljnDNE{X4
z;Cwwk^tHQ`HJ7Pmy)v^?P}GFzpI_a+CFdh{*Y8I>udD=m3lqAKTHaYFyr<>$b&i(}
z%(rmL`x+UitJ&l2Qwf?T&ydvQh7Zg$Y?vb)nqM5ICHj=q{_a=CRPJg5`Wn!Y`G@p3
zm7$)R&OFQtbUrnlOoQ>X-sNzA#0N_r@4;$Yl9}ji?<_O@^t8zE$|yaQP`<@n;B5Q9
z*FJsRQCBN-4D<BrmQc={;L_lqM=C$73O|(I8J$OJ<W=#;OY{OGbfzN3X6TQS@BTR*
zc-Vi5^t~*ROnZb?r9gjAFQKB@0<_}rVzroJV9)_{8BjB}h3`)t7}KN(;30VPOX$6Q
z;fa-gF5B?vOPOu15O;sKCh%8<&(E{7oOr~hmIV^5Am`v}o_!@azW`nlg3A@L+WGm7
z)+E!WZx_EQ1M|nId{cw0JTC|1Ji1|Pl?-<0B)Gfou`8`aR@M>}zCVJ5134iPzjnI1
zc`6Y1vC(YiwegzG+Z~#3H)c^X0k!cNQ763Lnoz(>YI)T7_@wlQ3Pl?e_8}bCh|W9s
zc9@|=qzVvV_C2~~FjU%V+BSrE=iqEMRW$v3(<Vba*_Nn(HLkn9Bf;Aj*F8vx#t)Qr
zdGks|p2xT!!*Ii1`kq-PZOnWfE87P18E5;WC{>%+9&GMGeQtd`S~j9-y?iM|eN`Ss
z?8njEyB~S%i71uFml>^Iq72i!1z+)8G5b@U9~ICJ4SE+=BUW9(sWLxN+S}w9bmAak
z6Fa)}keT{95Hj6XuFZtE=}^~8Zoz{ddlz8a>U0nI8FwTtGK87Fgvjy&cq(8d^N;MG
zDJzC~iRwB8q-k;Dgp~H|zs2K?6-NF_PyrHwF0R1T_Dm0gVBvA-hsz^{RT=hoQX;J#
zhYu<_6l{-?@kwwXc=FfdK6aZG>EwE31x{QlUbMZd!&ne~Hc*)+y7YtGb(Np|Q3fax
zd7)h-^HCaX4JDyxDSGuu;QV)7(4s}|l$=+9;ThU)Qfx-8r@`(P20=ybfb|4IbmY!^
zj6{06oGuDjoT^eXw~IVqoSdhw52{0ieW96kl;r8e(mT}2o72n!2P8e@En}amC#bt&
z@6{9&rq({m1-+AaCvXS@mORD^W)VBfBYbw80940l=Gf-cS9`EsJcC&e9{<?wHf6Ae
zz(ZnG#-^8kl@#^fe4z^v&meV3?f1ZF*Hj!e5b|XoLERoD4^#DX7A-ufO7+nF(4xmH
z=JO?w&YW;9&TPUES*yiyx^bAb$OE?eQ!i`rlj#|!^=;;wTl|}*9;a8EQUL}jxJ>4+
zyB7oBZ?Zxi^ZA{^s$)*8K<qrJZdNwzkc#Rj2ukIfc1Kg?9G@%Jf+S#yKsO4)@v#kd
z&g4N|e4OeQrDy5gHBKT^x;6EzKvQ?`njLFb(atpDxgO_TMgu#L<`=z-x+})FQ$Dr_
z()8Z(pN^=i2@7@ua#Yo=FmqSgqJCgCc~|msk3DA(MlxhWLI`rs>X55q4W_%(#8lZp
zrgk)wqB+bu6f0<+k)!_Y{=uK&FDmTXz3Diq5@77lyh1a_urqTRFSV@dFz7nwHkXfm
z4O{r3qJN(#%7Geo;96!<=-{5=5Nho^*ltj^$Z0svLL--9=Z!{{Ah<!`9l)gj&tGDh
zXJv=?H)+|;^`BXHo>=^qQ)phtp#~iB;dl<N*RtE4U~P;&^9d0wMxYIT+<&^eKQ#&L
z?hT?&cZO`?9}@P~dBxV7KYsMdRmCR#Twd(W(C?zq`z((%`|<M9L7ma|NG8n*UhxR7
z(yKkT|GT_o5w0!pMHnOS$ku*OH$Typ=yI}8XHITojt@p2LhWHXZU=`qmDstDh*?5e
zoS<Nq>adMd^T$HINwpDqv%)sbY-7wz>K3U>c{)$lz2Rk;uls87VtI~3#5g+>)ozYX
zdxS1=fVv-~{MBARL+p9~{$NmPKteURR5a1R0mkJZB_O}1JR*sy95zFaLl_pD^AAx*
z@zIi5GZh(^vHF%qU*nJpfmIFoVM2{SDYj`~ah#C9WfXd6`WSIV7hpAz>20OtgCEqP
z^r4;WY7^m!#m)IDWz||$#hIydB`$es%~`8GVr5`odCwez=~muWgfOr=EW_B^uufC3
zoFNqQpR@{bbgVYhTlo#p+SvN4O_<_chfKc;x;Ll4V)A#WnhxDpKZVf<|CBWMu+2{g
z399k}HKc&ucyvYF_0rXob*S=x3>m8`!Z+SDxK8xD7khQNsQ6fVqN)%kG014vYjI~a
zwbu|YPq$F~2dH?M-Z~{t>KWYnT5JQW4zd<)<7iF&E?kunh~<My#AO7qox~Ua0V-XR
zLvclyEliicD%H`t?a>8brw$U18s7O6xV=9m&ZsMF#s(MjeIoT~41S*;dbbb#ZuUCq
zZkJ2(l<Q*CsSK#jdJ&jW&hAo{65o3>rc%7DIGG$^c2XZYy?7(Y)iNnnzSd0dFo5#x
zVqVh4oTd2v0w_CN%{NZ@)WSfn5;5yWGY2?(NCO}6+$-Y{5%%!ahWfA<&w#F4?l1H^
z6v@QFbEWvcw*;#f!`0-BQ`e8r9*|@j0eYvA^mcwai0%QEJ%L@Yz*1FneT<smJ2C|n
z^5Y^Y6r{sMbq^l^f`e<{XrvW(APyI+PVI^;H5wj&Q|h=fQx@>BnON-;YNmM>_PbA&
zral~<Ez_GK_Xwd)ycy70<>0ijAhWeGy?;4Uw|vabn7epy?7`{I`*s@|_+^SA55H9s
zqmyxJMXcdiu^(>&9u;&bJi6R5*Ptb`ysw5U4i-v{vhvL$sGW9cV?v*8mEu@Fmj!mk
z01Kz8*h4TU3|n;+Ybfg*K_Q_0N#p)r@t0;n0n#RQ?Y(1#S`m+??ic-G#1Rj0G;4}=
z?TrtWQgMe8C*&btMKwzCi<E7WsK6K39E#CkrQZ8s#nI}EgM}~IdoG`pR}S~y&(?e7
zTc!&`%Y@Wg<SpB@+kQTA|HF6|GqD)U5lZk~?pOJJ+)BB^7-0UnyfxNHB)FxF$(>g5
z|JqAG+c|z(Xv~Z9drD^W7pH~I!#h`+I2forZ(BgD&Z^&m754~b`b1s-n)h~~fsjlc
zR_<_;I#vczQoqct&<XjC?wMBl8?(2CcyOO}wOpz5*&ed99{1_RuN^gbxq))(AK1x8
zowf+YhDEXiPF|4|#L_<Wi9mCq@4_>aHVrqNxX@*0pCF;$7V-Am-0{+k1o1aut4)<E
z${jVl{3{aPp_Pb+M_(|rV>OTGOrTTsh`i{s!>t_XpZcJ5UK`s=L>Ng74v2-8DYq8B
z!w>hE!NmeC_Lt)A9Z;w1)Dx^=7K;(fcV}|HXetq>YS|fDnI6UHiMRyCdSCnbb@RpV
zN*k}UA$3C}6f>yd4^;Mg!_4<2faMK=s13{WNbS5%Y)Ok5-r3bUgO{$yAbRp(QJ*Qo
z9PE9c+2NLMqS(#RnUF?AX2&~=ky|tt;dEya$@zs=9*+ElKrnS8-sL<HO?$Cg#T0T@
z@$DR~iKPq8=@i0S1lh4j<hU}0Cs4K*oOT9xMss)4qowVL9;OE-ZH8p&$-g8?Zwh;;
z8Du+p;n58$+^sqU`j^)=2G-R*R=?<y^k&O`iaO4z;tSoaY7ofK6w*ae%AR9AY(19h
zoLzFX1~ZXDFz;A`=@N5;|3tGmtaV^}Z$N}I#aNJauK*_c%MEW*x>qLZDjyu;pQC|i
zLF#L<X-g<Fo$14vF4R*<^)K`!BS{_SDCrrD?rPcDR2*U=Su`vAt-F<44R~r456A=-
z0)EnYf@|dN391tC?@ZXfXK5J$^dV#E$16Q<hIPU-@5XF<wVP8cd@nu=<r^pa6c-gk
zw(qzqUZ!**(VuoC70Ho!h*{R?7;So=etPYDBKw({Pp;=l-jFlqc&&skS~zPO0XV7b
zxUI0bPMjQ^CA^aa+vnS~&&DDplj&EJxR1(ZHK&#-Rbb#RTrM(s*H2(k;U6G?tD|sW
z>+zi9o##5+L9{KZGOspW%*-*eR3tBj@9&!3#)x@TKJlywH|5JwqULr(d97`d#}E~v
zc?g+{q#*tY#LFk9#dbOHy}G%Idy@yur{TzGnZJY%u%saKLA%sG1{D9*XG5Cgv#Xhq
zI$q(^YpVB4tZQkFhXD$34h3>(K_ntf?e|*<az(JCX{G;Qr(8hAMT4Mn(jR{B{cB|O
z$X^D11%^YK-22?xd9)}ZR?C<UnA3BkQMf{LeXUIO!^Z}~!{Rm(B<rqb9kUe(0x$oT
z4JjRKYFs2T`XlpMiEwU3H8?!I%*P@i)6kgkbupP7+&BoSeM?Fub$x=(GG^OP{g31Q
zLzlOQl^@zODB76;B4#EToyQHfGKZ+_@Y9XiY5<FH)gFMtnMq!YNlDF^s1;<slXYw=
zCOTIzc1Sk&)<sbE`?FqPtN;9tdEd<XT0%~b0$RlH#uWPGV=j^-rCpcSckm>@#<|lZ
zlu^*?>kOkD-OLDKrT;Sr0YgB)Dn1^Ic_bC>qkjs~Q&QoY=Y4;srhw$qZyA+|x^fXA
zERo|Q_@{U&9A|09|GWBlClZ=wq+Zm4Fdt5$P3h3_wevzZAldCJ7-}OMe1K+RVHlxv
zq;$x%V}rT9dNiISR!D1c7Ky98y5Yl+w(=Q$mZc}SCl7-|-<ExDxov?Vs6H~_AjOYr
zowb#<Z&=@2hM{30u3hbwGyhA)dI&bW+=ZoW`z6l*EnY;3hUBMf^*qQTT-ANMIv}5I
z-fBd$-Tb!RG4z3-!t<i=!r0vk$_5`wB#DC^<C079dT;HF!*M!Jd(Wm>4(|tt{;<J7
z6m(ofNS+OAakEBEPHcXrME=*S-7_WoisJRvL~-Iv!^+<-zE=D)uUQ{+lHhbzfG`ND
zQx={{9(?WmVq7%sBM9hdpoDyCmdMDU8>|yxvu{qsThu|K1+mF4W<%2a14_o+^Jeyc
z?b}=}3ky;59N*0RSq(p*{I1AV7!q&3TM7k--E(!o@jPG?i_<?45>{EA4B`q?zEttt
z%z(pi1TpNgTE#4e2Xda_V#V<gS(sX%$@jJR;!#C6ypVd@h&u-fc~_n9)R@nj`s1&2
zDXwW$D<}lT5pHRcpYK2D1~vXSAt;d9`Imz~0Ezp%s!0!c4o#TV{a!pL>1=sx=n1bB
z%Mx{-+lbLzA-+K9uWR;S7Uf0vOXgg2o&o2Y?QVU-wlVMOcqgs5HD+D($VcQ9{XOz5
zf5WPf2z>_FXo9R(&?Ts2(xeWYW$;od{-?%S&*pe;3XK>`$F$5=?Xau02JncLmTJ--
zz1mrCvmLF<9PV%0qOU~ATqebrGEfz{i$rKR5lzkbc_L<?GDOS_?X$Bk8X~G}6rAWu
z%4sW3R#%ESpmO;i@_;{e{@H%Qn`Xod2R(71XK?@@$*E$I8)J_wNyXHHkLv_ImNyI$
z>_7KvXF=H(bCdE4<7yU#WFMF^rmxCH&`ph`WjtU+ewZ!z2O92@QqnD6x~M$o=I*qb
zXTCSv!y;T1)8FqR81vVn6lo+PHUjggC3fiXR>}L=@70>`uX%nBGp5*l?KF-|lqR)w
zl?G`RBhMapDB0f3u(Ub6y^tw$T4l9!Y*!+ID6%{*eIVc^V?bZ_`Oa06>EUC8Cs!M^
z2pMZ)Qeh#-OP0UYL;Zd2y~Y}1W_Y0&Pu^6(m%RVzBx~#dg+TQG6av$;C{Tx*0XVD3
zz}BpG7MkVG1SSQ_?ht;k`&PhvA4iaTv2E>86Wpd$2qs%h)^GHwJw1R=e3&thIBhYR
zML##;I^FC?WPTf~^bwpnaX&D0Zah7{f94t1+c8|O22@igxKLdFMwl~luPD3tKBnmD
z-uC9l8VMz_S&jE%-QxS|!dM^tGc&Qnj?)?k!bqg<3uQl-O<00?FO{^{-kO%HN!xgq
zn2Rq9<lr!pM5mXw)b6rkc*P7RR7LU2LYa8TX)_D98~EG`d=;)T^7TnT8qQAvu=YGD
zjXnUMlF*vsuX$`@nx=T63vRXieuAZv%6J4Hdq!R$)VGFm91N%3ykGQ`w9~LIqq7yu
zm7i4Bu`ZK2Lk{SnPAQl1h_$1sF5*$n@0eM}_v#hD&^F++^FeR-h9M|9*Z&NHkY^9a
zQ#Ze%aZ6#%jMSAEOYu7o&V11buAiz7?9!+Gc!?cea<@UDtRL7v=t3@T?oB4KIW-{@
z^GG#i+PB~2Qkq}efoY(9O;wWT<<<eI{9a&&toq{;j&kWjCJOwMJL1CMue{q^z6%IF
z?-_EE_y9H*d^>CJhW6>dNK)%a4S<mn&-2!S5tsGbX_LSbeV@#Zv#h@gY3WOns5Ls1
zn7Xp=H`~9zQMZW;nwX`lPlpGt^+$ogzW})x|K!FkMq>A%^G>OsjN=cD*bu^#Kx4`o
zE8Xl-30WN`l_F5t(D1Gqk0Y>dzxAaMX5b)UHY9ecyjLVEhLfeW7{P~}IXhU!+3OJB
z)l~bY2`qnLH6F9QvaGTOG&oCB)aL|L@c}!zz;G?FOE5WDYv4RD04KO;Fn&=Sxl`e!
zX7brLVRfc#v?Z1s=UqhPwBw<{XyY%xHkZC3m^=1H;w5|3<)g9}ABUmhcYC8d+Qe73
z`N-~$BJVeNfVV;vK)*j+#lLZ{Sxa(DiL+HVA{!=Xn`l{L2y1!6iuI)Vw6P^n)vUtF
z7@sPzhIy$p8+uTAxX(mwv!MR2xIAsirfmhIQ<;&jG?dT9<(Pj;G27Or_=b?%27mzc
N=z-pS#Jwk>{{sb>U7r8|

literal 0
HcmV?d00001

diff --git a/policyengine/__init__.py b/policyengine/__init__.py
index 7846d09b..63a753be 100644
--- a/policyengine/__init__.py
+++ b/policyengine/__init__.py
@@ -1 +1 @@
-from .simulation import Simulation, SimulationOptions
\ No newline at end of file
+from .simulation import Simulation, SimulationOptions
diff --git a/policyengine/outputs/compare.py b/policyengine/outputs/compare.py
index 0317e0e0..385c543c 100644
--- a/policyengine/outputs/compare.py
+++ b/policyengine/outputs/compare.py
@@ -521,8 +521,8 @@ def compare_economic_outputs(
         dict: The comparison of the two economies.
     """
     if baseline.get("type") == "general":
-        budgetary_impact_data = budgetary_impact(baseline, reform)
-        detailed_budgetary_impact_data = detailed_budgetary_impact(
+        budgetary_impact_data = budgetary_impact(baseline, reform)  # done
+        detailed_budgetary_impact_data = detailed_budgetary_impact(  # done
             baseline, reform, country_id
         )
         decile_impact_data = decile_impact(baseline, reform)
diff --git a/policyengine/outputs/calculate_economy_comparison.py b/policyengine/outputs/macro/calculate_economy_comparison.py
similarity index 51%
rename from policyengine/outputs/calculate_economy_comparison.py
rename to policyengine/outputs/macro/calculate_economy_comparison.py
index c41325d2..8ab3ad56 100644
--- a/policyengine/outputs/calculate_economy_comparison.py
+++ b/policyengine/outputs/macro/calculate_economy_comparison.py
@@ -1,24 +1,39 @@
+"""Calculate comparison statistics between two economic scenarios."""
+
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation
 
 from pydantic import BaseModel
 from policyengine.utils.calculations import get_change
 
-from .macro.single import calculate_government_balance, FiscalSummary
+from .single import (
+    calculate_government_balance,
+    FiscalSummary,
+    calculate_inequality,
+    InequalitySummary,
+)
+
 
 class FiscalComparison(BaseModel):
     baseline: FiscalSummary
     reform: FiscalSummary
     change: FiscalSummary
 
+
 class EconomyComparison(BaseModel):
     fiscal: FiscalComparison
+    inequality: InequalitySummary
+
 
-def calculate_economy_comparison(simulation: "Simulation"):
+def calculate_economy_comparison(
+    simulation: "Simulation",
+) -> EconomyComparison:
+    """Calculate comparison statistics between two economic scenarios."""
     if not simulation.is_comparison:
         raise ValueError("Simulation must be a comparison simulation.")
-    
+
     baseline = simulation.baseline_simulation
     reform = simulation.reform_simulation
     options = simulation.options
@@ -26,9 +41,14 @@ def calculate_economy_comparison(simulation: "Simulation"):
     baseline_balance = calculate_government_balance(baseline, options)
     reform_balance = calculate_government_balance(reform, options)
     change = get_change(baseline_balance, reform_balance)
-    fiscal_comparison = FiscalComparison(baseline=baseline_balance, reform=reform_balance, change=change)
+    fiscal_comparison = FiscalComparison(
+        baseline=baseline_balance, reform=reform_balance, change=change
+    )
+
+    baseline_inequality = calculate_inequality(baseline)
+    reform_inequality = calculate_inequality(reform)
+    inequality_comparison = get_change(baseline_inequality, reform_inequality)
 
     return EconomyComparison(
-        fiscal=fiscal_comparison,
+        fiscal=fiscal_comparison, inequality=inequality_comparison
     )
-
diff --git a/policyengine/outputs/macro/single.py b/policyengine/outputs/macro/single.py
index 6c5e6ea7..46301d7b 100644
--- a/policyengine/outputs/macro/single.py
+++ b/policyengine/outputs/macro/single.py
@@ -1,4 +1,5 @@
 import typing
+
 if typing.TYPE_CHECKING:
     from policyengine import Simulation, SimulationOptions
 
@@ -6,12 +7,14 @@
 
 from pydantic import BaseModel
 
+
 class TaxBenefitProgram(BaseModel):
     name: str
     """The name of the tax-benefit program."""
     is_positive: bool
     """Whether the program is positive on the *government* balance sheet."""
 
+
 UK_PROGRAMS = [
     TaxBenefitProgram(name="income_tax", is_positive=True),
     TaxBenefitProgram(name="national_insurance", is_positive=True),
@@ -26,6 +29,7 @@ class TaxBenefitProgram(BaseModel):
     TaxBenefitProgram(name="pension_credit", is_positive=False),
 ]
 
+
 class FiscalSummary(BaseModel):
     tax_revenue: float
     """The total tax revenue collected by the government."""
@@ -40,6 +44,7 @@ class FiscalSummary(BaseModel):
     household_net_income: float
     """The total net income of the households in the simulation."""
 
+
 def calculate_government_balance(
     simulation: Microsimulation,
     options: "SimulationOptions",
@@ -50,23 +55,21 @@ def calculate_government_balance(
         total_spending = simulation.calculate("gov_spending").sum()
         tb_programs = {}
         for program in UK_PROGRAMS:
-            tb_programs[program.name] = simulation.calculate(program.name).sum() * (
-                1 if program.is_positive else -1
-            )
+            tb_programs[program.name] = simulation.calculate(
+                program.name
+            ).sum() * (1 if program.is_positive else -1)
         total_state_tax = 0
     else:
         total_tax = simulation.calculate("household_tax").sum()
-        total_spending = simulation.calculate(
-            "household_benefits"
-        ).sum()
+        total_spending = simulation.calculate("household_benefits").sum()
         total_state_tax = simulation.calculate(
             "household_state_income_tax"
         ).sum()
-    
+
     national_tax = total_tax - total_state_tax
 
     total_net_income = simulation.calculate("household_net_income").sum()
-    
+
     return FiscalSummary(
         tax_revenue=total_tax,
         federal_tax=national_tax,
@@ -74,4 +77,45 @@ def calculate_government_balance(
         government_spending=total_spending,
         tax_benefit_programs=tb_programs,
         household_net_income=total_net_income,
-    )
\ No newline at end of file
+    )
+
+
+class InequalitySummary(BaseModel):
+    gini: float
+    """The Gini coefficient of the household net income distribution."""
+    top_10_share: float
+    """The share of total income held by the top 10% of households."""
+    top_1_share: float
+    """The share of total income held by the top 1% of households."""
+
+
+def calculate_inequality(
+    simulation: Microsimulation,
+):
+    income = simulation.calculate("equiv_household_net_income")
+    income[income < 0] = 0
+    household_count_people = simulation.calculate("household_count_people")
+    income.weights *= household_count_people
+    personal_hh_equiv_income = income
+    gini = personal_hh_equiv_income.gini()
+    in_top_10_pct = personal_hh_equiv_income.decile_rank() == 10
+    in_top_1_pct = personal_hh_equiv_income.percentile_rank() == 100
+
+    personal_hh_equiv_income.weights /= (
+        household_count_people  # Don't double-count people
+    )
+
+    top_10_share = (
+        personal_hh_equiv_income[in_top_10_pct].sum()
+        / personal_hh_equiv_income.sum()
+    )
+    top_1_share = (
+        personal_hh_equiv_income[in_top_1_pct].sum()
+        / personal_hh_equiv_income.sum()
+    )
+
+    return InequalitySummary(
+        gini=gini,
+        top_10_share=top_10_share,
+        top_1_share=top_1_share,
+    )
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index 3f898ec6..907f2487 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -1,9 +1,13 @@
+"""Simulate tax-benefit policy and derive society-level output statistics."""
+
 from pydantic import BaseModel, Field
 from typing import Literal
 from .constants import DEFAULT_DATASETS_BY_COUNTRY
 from policyengine_core.simulations import Simulation as CountrySimulation
-from policyengine_core.simulations import Microsimulation as CountryMicrosimulation
-from .reforms import ParametricReform, SimulationAdjustment
+from policyengine_core.simulations import (
+    Microsimulation as CountryMicrosimulation,
+)
+from .utils.reforms import ParametricReform, SimulationAdjustment
 from policyengine_core.reforms import Reform as StructuralReform
 from policyengine_core.data import Dataset
 from .utils.huggingface import download
@@ -19,44 +23,44 @@
 from pathlib import Path
 import pandas as pd
 from typing import Type
+from functools import wraps
+from .outputs.macro.calculate_economy_comparison import (
+    calculate_economy_comparison,
+    EconomyComparison,
+)
 
 CountryType = Literal["uk", "us"]
 ScopeType = Literal["household", "macro"]
 DataType = str | None
 TimePeriodType = int
-ReformType = ParametricReform | SimulationAdjustment | Type[StructuralReform] | None
+ReformType = (
+    ParametricReform | SimulationAdjustment | Type[StructuralReform] | None
+)
 RegionType = str | None
 SubsampleType = int | None
 
+
 class SimulationOptions(BaseModel):
-    country: CountryType = Field(
-        ..., description="The country to simulate."
-    )
-    scope: ScopeType = Field(
-        ..., description="The scope of the simulation."
-    )
-    data: DataType = Field(
-        None, description="The data to simulate."
-    )
+    country: CountryType = Field(..., description="The country to simulate.")
+    scope: ScopeType = Field(..., description="The scope of the simulation.")
+    data: DataType = Field(None, description="The data to simulate.")
     time_period: TimePeriodType = Field(
         ..., description="The time period to simulate.", ge=2024, le=2035
     )
-    reform: ReformType = Field(
-        None, description="The reform to simulate."
-    )
-    baseline: ReformType = Field(
-        None, description="The baseline to simulate."
-    )
+    reform: ReformType = Field(None, description="The reform to simulate.")
+    baseline: ReformType = Field(None, description="The baseline to simulate.")
     region: RegionType = Field(
         None, description="The region to simulate within the country."
     )
     subsample: SubsampleType = Field(
-        None, description="How many, if a subsample, households to randomly simulate."
+        None,
+        description="How many, if a subsample, households to randomly simulate.",
     )
 
 
 class Simulation:
     """Simulate tax-benefit policy and derive society-level output statistics."""
+
     is_comparison: bool
     """Whether the simulation is a comparison between two scenarios."""
     baseline_simulation: CountrySimulation
@@ -71,7 +75,7 @@ def __init__(self, options: SimulationOptions):
             self.options.data = DEFAULT_DATASETS_BY_COUNTRY[
                 self.options.country
             ]
-        
+
         self._initialise_simulations()
 
     def _set_data(self):
@@ -108,7 +112,7 @@ def _initialise_simulations(self):
             self.is_comparison = False
 
     def _initialise_simulation(
-        self, 
+        self,
         country: CountryType,
         scope: ScopeType,
         reform: ReformType,
@@ -131,7 +135,7 @@ def _initialise_simulation(
 
         if isinstance(reform, ParametricReform):
             reform = reform.model_dump()
-        
+
         simulation_editing_reform = None
 
         if isinstance(reform, SimulationAdjustment):
@@ -158,13 +162,12 @@ def _initialise_simulation(
 
         if subsample is not None:
             simulation = simulation.subsample(subsample)
-        
+
         if simulation_editing_reform is not None:
             simulation_editing_reform(simulation)
-        
+
         return simulation
 
-    
     def _apply_region_to_simulation(
         self,
         country: CountryType,
@@ -289,3 +292,7 @@ def _data_handle_cps_special_case(self):
                     version=version,
                 )
                 self.data = Dataset.from_file(self.data, "2023")
+
+    def calculate_economy_comparison(self) -> EconomyComparison:
+        """Calculate comparison statistics between two economic scenarios."""
+        return calculate_economy_comparison(self)
diff --git a/policyengine/utils/calculations.py b/policyengine/utils/calculations.py
index 7f520b0b..c4e9a853 100644
--- a/policyengine/utils/calculations.py
+++ b/policyengine/utils/calculations.py
@@ -3,6 +3,7 @@
 
 Output = Dict[str, float]
 
+
 def get_change(
     x: Output | Dict[str, Output],
     y: Output | Dict[str, Output],
@@ -21,5 +22,5 @@ def get_change(
             result[key] = get_change(x[key], y[key])
         else:
             result[key] = y[key] - x[key]
-    
-    return output_class(**result)
\ No newline at end of file
+
+    return output_class(**result)
diff --git a/policyengine/reforms.py b/policyengine/utils/reforms.py
similarity index 78%
rename from policyengine/reforms.py
rename to policyengine/utils/reforms.py
index d18448ba..ab8225bb 100644
--- a/policyengine/reforms.py
+++ b/policyengine/utils/reforms.py
@@ -9,8 +9,11 @@
 
 class ParametricReform(RootModel):
     """A reform that just changes parameter values."""
+
     root: Dict[str, Dict | float | bool]
 
+
 class SimulationAdjustment(RootModel):
     """A reform that changes the simulation in some way."""
-    root: Callable[[Simulation], None]
\ No newline at end of file
+
+    root: object  # Python callable function that takes a Simulation object and returns nothing. Not JSON serialisable. Needs fixing.

From 58d2981992abb1b7d2ac8652d6dd9d87ac59288f Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 14:28:04 +1100
Subject: [PATCH 18/32] Add budget, inequality and distributional impacts

---
 .../outputs/{compare.py => api_compare.py}    |  10 +-
 .../outputs/{single.py => api_single.py}      |   0
 .../outputs/macro/comparison/__init__.py      |   0
 .../calculate_economy_comparison.py           |  27 ++-
 .../outputs/macro/comparison/decile.py        | 198 ++++++++++++++++++
 policyengine/outputs/macro/single/__init__.py |   2 +
 .../macro/{single.py => single/budget.py}     |  43 +---
 .../outputs/macro/single/inequality.py        |  50 +++++
 policyengine/simulation.py                    |   2 +-
 9 files changed, 278 insertions(+), 54 deletions(-)
 rename policyengine/outputs/{compare.py => api_compare.py} (99%)
 rename policyengine/outputs/{single.py => api_single.py} (100%)
 create mode 100644 policyengine/outputs/macro/comparison/__init__.py
 rename policyengine/outputs/macro/{ => comparison}/calculate_economy_comparison.py (62%)
 create mode 100644 policyengine/outputs/macro/comparison/decile.py
 create mode 100644 policyengine/outputs/macro/single/__init__.py
 rename policyengine/outputs/macro/{single.py => single/budget.py} (68%)
 create mode 100644 policyengine/outputs/macro/single/inequality.py

diff --git a/policyengine/outputs/compare.py b/policyengine/outputs/api_compare.py
similarity index 99%
rename from policyengine/outputs/compare.py
rename to policyengine/outputs/api_compare.py
index 385c543c..2f561628 100644
--- a/policyengine/outputs/compare.py
+++ b/policyengine/outputs/api_compare.py
@@ -525,16 +525,16 @@ def compare_economic_outputs(
         detailed_budgetary_impact_data = detailed_budgetary_impact(  # done
             baseline, reform, country_id
         )
-        decile_impact_data = decile_impact(baseline, reform)
-        inequality_impact_data = inequality_impact(baseline, reform)
+        decile_impact_data = decile_impact(baseline, reform) # done
+        inequality_impact_data = inequality_impact(baseline, reform) # done
         poverty_impact_data = poverty_impact(baseline, reform)
         poverty_by_gender_data = poverty_gender_breakdown(baseline, reform)
         poverty_by_race_data = poverty_racial_breakdown(baseline, reform)
-        intra_decile_impact_data = intra_decile_impact(baseline, reform)
+        intra_decile_impact_data = intra_decile_impact(baseline, reform) # done
         labor_supply_response_data = labor_supply_response(baseline, reform)
         try:
-            wealth_decile_impact_data = wealth_decile_impact(baseline, reform)
-            intra_wealth_decile_impact_data = intra_wealth_decile_impact(
+            wealth_decile_impact_data = wealth_decile_impact(baseline, reform) # done
+            intra_wealth_decile_impact_data = intra_wealth_decile_impact( # done
                 baseline, reform
             )
         except:
diff --git a/policyengine/outputs/single.py b/policyengine/outputs/api_single.py
similarity index 100%
rename from policyengine/outputs/single.py
rename to policyengine/outputs/api_single.py
diff --git a/policyengine/outputs/macro/comparison/__init__.py b/policyengine/outputs/macro/comparison/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/policyengine/outputs/macro/calculate_economy_comparison.py b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
similarity index 62%
rename from policyengine/outputs/macro/calculate_economy_comparison.py
rename to policyengine/outputs/macro/comparison/calculate_economy_comparison.py
index 8ab3ad56..cadaeb73 100644
--- a/policyengine/outputs/macro/calculate_economy_comparison.py
+++ b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
@@ -8,23 +8,31 @@
 from pydantic import BaseModel
 from policyengine.utils.calculations import get_change
 
-from .single import (
+from policyengine.outputs.macro.single import (
     calculate_government_balance,
     FiscalSummary,
     calculate_inequality,
     InequalitySummary,
 )
 
+from .decile import calculate_decile_impacts, DecileImpacts
+
 
 class FiscalComparison(BaseModel):
     baseline: FiscalSummary
     reform: FiscalSummary
     change: FiscalSummary
 
+class InequalityComparison(BaseModel):
+    baseline: InequalitySummary
+    reform: InequalitySummary
+    change: InequalitySummary
+
 
 class EconomyComparison(BaseModel):
     fiscal: FiscalComparison
-    inequality: InequalitySummary
+    inequality: InequalityComparison
+    distributional: DecileImpacts
 
 
 def calculate_economy_comparison(
@@ -40,15 +48,22 @@ def calculate_economy_comparison(
 
     baseline_balance = calculate_government_balance(baseline, options)
     reform_balance = calculate_government_balance(reform, options)
-    change = get_change(baseline_balance, reform_balance)
+    balance_change = get_change(baseline_balance, reform_balance)
     fiscal_comparison = FiscalComparison(
-        baseline=baseline_balance, reform=reform_balance, change=change
+        baseline=baseline_balance, reform=reform_balance, change=balance_change
     )
 
     baseline_inequality = calculate_inequality(baseline)
     reform_inequality = calculate_inequality(reform)
-    inequality_comparison = get_change(baseline_inequality, reform_inequality)
+    inequality_change = get_change(baseline_inequality, reform_inequality)
+    inequality_comparison = InequalityComparison(
+        baseline=baseline_inequality, reform=reform_inequality, change=inequality_change
+    )
+
+    decile_impacts = calculate_decile_impacts(baseline, reform, options)
 
     return EconomyComparison(
-        fiscal=fiscal_comparison, inequality=inequality_comparison
+        fiscal=fiscal_comparison, 
+        inequality=inequality_comparison,
+        distributional=decile_impacts
     )
diff --git a/policyengine/outputs/macro/comparison/decile.py b/policyengine/outputs/macro/comparison/decile.py
new file mode 100644
index 00000000..9357a489
--- /dev/null
+++ b/policyengine/outputs/macro/comparison/decile.py
@@ -0,0 +1,198 @@
+import typing
+
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation, SimulationOptions
+
+from policyengine_core.simulations import Microsimulation
+
+from pydantic import BaseModel
+from typing import Dict
+import numpy as np
+
+class IncomeMeasureSpecificDecileIncomeChange(BaseModel):
+    relative: Dict[int, float]
+    """Relative impacts by income decile."""
+    average: Dict[int, float]
+    """Average impacts by income decile."""
+
+class IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(BaseModel):
+    lose_more_than_5_percent_share: float
+    """Share of households losing more than 5% of net income."""
+    lose_less_than_5_percent_share: float
+    """Share of households losing less than 5% of net income."""
+    lose_share: float
+    """Share of households losing net income."""
+    no_change_share: float
+    """Share of households with no change in net income."""
+    gain_share: float
+    """Share of households gaining net income."""
+    gain_less_than_5_percent_share: float
+    """Share of households gaining less than 5% of net income."""
+    gain_more_than_5_percent_share: float
+    """Share of households gaining more than 5% of net income."""
+
+class IncomeMeasureSpecificDecileWinnersLosers(BaseModel):
+    deciles: Dict[int, IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes]
+    """Winners and losers by income decile."""
+    all: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes
+    """Winners and losers for all households."""
+
+class IncomeMeasureSpecificDecileImpacts(BaseModel):
+    income_change: IncomeMeasureSpecificDecileIncomeChange
+    """Income change by income decile."""
+    winners_and_losers: IncomeMeasureSpecificDecileWinnersLosers
+    """Winners and losers by income decile."""
+
+class DecileImpacts(BaseModel):
+    income: IncomeMeasureSpecificDecileImpacts
+    """Impacts by income decile."""
+    wealth: IncomeMeasureSpecificDecileImpacts | None
+    """Impacts by wealth decile, if available."""
+
+
+def calculate_decile_impacts(
+    baseline: Microsimulation,
+    reform: Microsimulation,
+    options: SimulationOptions,
+) -> DecileImpacts:
+    """Calculate changes to households by income and wealth deciles."""
+    income_impacts = calculate_income_specific_decile_impacts(baseline, reform, by_wealth_decile=False)
+    if options.country == "uk":
+        wealth_impacts = calculate_income_specific_decile_impacts(baseline, reform, by_wealth_decile=True)
+    else:
+        wealth_impacts = None
+    return DecileImpacts(income=income_impacts, wealth=wealth_impacts)
+
+def calculate_income_specific_decile_impacts(
+    baseline: Microsimulation,
+    reform: Microsimulation,
+    by_wealth_decile: bool,
+) -> IncomeMeasureSpecificDecileImpacts:
+    """Calculate changes to households by income and wealth deciles."""
+    income_impacts = calculate_income_specific_decile_income_changes(baseline, reform, by_wealth_decile)
+    winners_losers = calculate_income_specific_decile_winners_losers(baseline, reform, by_wealth_decile)
+    return IncomeMeasureSpecificDecileImpacts(income_change=income_impacts, winners_and_losers=winners_losers)
+
+def calculate_income_specific_decile_winners_losers(
+    baseline: Microsimulation,
+    reform: Microsimulation,
+    by_wealth_decile: bool,
+) -> dict:
+    """Calculate winners and losers by income and wealth deciles."""
+    baseline_income = baseline.calculate("household_net_income")
+    reform_income = reform.calculate("household_net_income")
+    people_per_household = baseline.calculate("household_count_people")
+    if not by_wealth_decile:
+        decile = baseline.calculate("household_income_decile")
+    else:
+        wealth = baseline.calculate("total_wealth")
+        household_count_people = baseline.calculate("household_count_people")
+        wealth.weights *= household_count_people
+        decile = (
+            wealth.decile_rank().clip(1, 10).astype(int)
+        )
+    # Filter out negative decile values due to negative incomes
+    absolute_change = (reform_income - baseline_income).values
+    capped_baseline_income = np.maximum(baseline_income.values, 1)
+    capped_reform_income = (
+        np.maximum(reform_income.values, 1) + absolute_change
+    )
+    income_change = (
+        capped_reform_income - capped_baseline_income
+    ) / capped_baseline_income
+
+    # Within each decile, calculate the percentage of people who:
+    # 1. Gained more than 5% of their income
+    # 2. Gained between 0% and 5% of their income
+    # 3. Had no change in income
+    # 3. Lost between 0% and 5% of their income
+    # 4. Lost more than 5% of their income
+
+    BOUNDS = [
+        (-np.inf, -0.05),
+        (-0.05, 0),
+        (-np.inf, -1e-3),
+        (-1e-3, 1e-3),
+        (1e-3, np.inf),
+        (0, 0.05),
+        (0.05, np.inf),
+    ]
+    LABELS = [
+        "lose_more_than_5_percent_share",
+        "lose_less_than_5_percent_share",
+        "lose_share",
+        "no_change_share",
+        "gain_share",
+        "gain_less_than_5_percent_share",
+        "gain_more_than_5_percent_share",
+    ]
+
+    deciles = {}
+    all = {}
+
+    for i in range(len(BOUNDS)):
+        lower, upper = BOUNDS[i]
+        label = LABELS[i]
+
+        # First, add the 'all' group
+
+        total_people = people_per_household.sum()
+        in_group = (income_change >= lower) & (income_change < upper)
+        people_in_group = people_per_household[in_group].sum()
+        share_in_group = people_in_group / total_people
+        all[label] = share_in_group
+
+        # Next, add the decile-specific groups
+
+        for d in range(1, 11):
+            in_group = (income_change[decile == d] >= lower) & (
+                income_change[decile == d] < upper
+            )
+            people_in_group = people_per_household[decile == d][in_group].sum()
+            people_in_decile = people_per_household[decile == d].sum()
+            share_in_group = people_in_group / people_in_decile
+            if d not in deciles:
+                deciles[d] = {}
+            deciles[d][label] = share_in_group
+    
+    return IncomeMeasureSpecificDecileWinnersLosers(deciles=deciles, all=all)
+
+
+
+def calculate_income_specific_decile_income_changes(
+    baseline: Microsimulation,
+    reform: Microsimulation,
+    by_wealth_decile: bool,
+) -> dict:
+    """Calculate changes to households by income and wealth deciles."""
+    baseline_income = baseline.calculate("household_net_income")
+    reform_income = reform.calculate("household_net_income")
+    if not by_wealth_decile:
+        decile = baseline.calculate("household_income_decile")
+    else:
+        wealth = baseline.calculate("total_wealth")
+        household_count_people = baseline.calculate("household_count_people")
+        wealth.weights *= household_count_people
+        decile = (
+            wealth.decile_rank().clip(1, 10).astype(int)
+        )
+    # Filter out negative decile values due to negative incomes
+    baseline_income_filtered = baseline_income[decile >= 0]
+    reform_income_filtered = reform_income[decile >= 0]
+
+    income_change = reform_income_filtered - baseline_income_filtered
+    rel_income_change_by_decile = (
+        income_change.groupby(decile).sum()
+        / baseline_income_filtered.groupby(decile).sum()
+    )
+    avg_income_change_by_decile = (
+        income_change.groupby(decile).sum()
+        / baseline_income_filtered.groupby(decile).count()
+    )
+    rel_decile_dict = rel_income_change_by_decile.to_dict()
+    avg_decile_dict = avg_income_change_by_decile.to_dict()
+    per_decile_changes = dict(
+        relative={int(k): v for k, v in rel_decile_dict.items()},
+        average={int(k): v for k, v in avg_decile_dict.items()},
+    )
+    return IncomeMeasureSpecificDecileImpacts(**per_decile_changes)
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/__init__.py b/policyengine/outputs/macro/single/__init__.py
new file mode 100644
index 00000000..ce42c17c
--- /dev/null
+++ b/policyengine/outputs/macro/single/__init__.py
@@ -0,0 +1,2 @@
+from .budget import calculate_government_balance, FiscalSummary
+from .inequality import calculate_inequality, InequalitySummary
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single.py b/policyengine/outputs/macro/single/budget.py
similarity index 68%
rename from policyengine/outputs/macro/single.py
rename to policyengine/outputs/macro/single/budget.py
index 46301d7b..2a3d78c3 100644
--- a/policyengine/outputs/macro/single.py
+++ b/policyengine/outputs/macro/single/budget.py
@@ -49,7 +49,7 @@ def calculate_government_balance(
     simulation: Microsimulation,
     options: "SimulationOptions",
 ) -> FiscalSummary:
-    # Calculate the total tax and spending for the government
+    """Calculate government balance metrics for a set of households."""
     if options.country == "uk":
         total_tax = simulation.calculate("gov_tax").sum()
         total_spending = simulation.calculate("gov_spending").sum()
@@ -78,44 +78,3 @@ def calculate_government_balance(
         tax_benefit_programs=tb_programs,
         household_net_income=total_net_income,
     )
-
-
-class InequalitySummary(BaseModel):
-    gini: float
-    """The Gini coefficient of the household net income distribution."""
-    top_10_share: float
-    """The share of total income held by the top 10% of households."""
-    top_1_share: float
-    """The share of total income held by the top 1% of households."""
-
-
-def calculate_inequality(
-    simulation: Microsimulation,
-):
-    income = simulation.calculate("equiv_household_net_income")
-    income[income < 0] = 0
-    household_count_people = simulation.calculate("household_count_people")
-    income.weights *= household_count_people
-    personal_hh_equiv_income = income
-    gini = personal_hh_equiv_income.gini()
-    in_top_10_pct = personal_hh_equiv_income.decile_rank() == 10
-    in_top_1_pct = personal_hh_equiv_income.percentile_rank() == 100
-
-    personal_hh_equiv_income.weights /= (
-        household_count_people  # Don't double-count people
-    )
-
-    top_10_share = (
-        personal_hh_equiv_income[in_top_10_pct].sum()
-        / personal_hh_equiv_income.sum()
-    )
-    top_1_share = (
-        personal_hh_equiv_income[in_top_1_pct].sum()
-        / personal_hh_equiv_income.sum()
-    )
-
-    return InequalitySummary(
-        gini=gini,
-        top_10_share=top_10_share,
-        top_1_share=top_1_share,
-    )
diff --git a/policyengine/outputs/macro/single/inequality.py b/policyengine/outputs/macro/single/inequality.py
new file mode 100644
index 00000000..23cb66f2
--- /dev/null
+++ b/policyengine/outputs/macro/single/inequality.py
@@ -0,0 +1,50 @@
+import typing
+
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation, SimulationOptions
+
+from policyengine_core.simulations import Microsimulation
+
+from pydantic import BaseModel
+
+
+class InequalitySummary(BaseModel):
+    gini: float
+    """The Gini coefficient of the household net income distribution."""
+    top_10_share: float
+    """The share of total income held by the top 10% of households."""
+    top_1_share: float
+    """The share of total income held by the top 1% of households."""
+
+
+def calculate_inequality(
+    simulation: Microsimulation,
+):
+    """Calculate inequality statistics for a set of households."""
+    income = simulation.calculate("equiv_household_net_income")
+    income[income < 0] = 0
+    household_count_people = simulation.calculate("household_count_people")
+    income.weights *= household_count_people
+    personal_hh_equiv_income = income
+    gini = personal_hh_equiv_income.gini()
+    in_top_10_pct = personal_hh_equiv_income.decile_rank() == 10
+    in_top_1_pct = personal_hh_equiv_income.percentile_rank() == 100
+
+    personal_hh_equiv_income.weights /= (
+        household_count_people  # Don't double-count people
+    )
+
+    top_10_share = (
+        personal_hh_equiv_income[in_top_10_pct].sum()
+        / personal_hh_equiv_income.sum()
+    )
+    top_1_share = (
+        personal_hh_equiv_income[in_top_1_pct].sum()
+        / personal_hh_equiv_income.sum()
+    )
+
+    return InequalitySummary(
+        gini=gini,
+        top_10_share=top_10_share,
+        top_1_share=top_1_share,
+    )
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index 907f2487..f60c3bd1 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -24,7 +24,7 @@
 import pandas as pd
 from typing import Type
 from functools import wraps
-from .outputs.macro.calculate_economy_comparison import (
+from .outputs.macro.comparison.calculate_economy_comparison import (
     calculate_economy_comparison,
     EconomyComparison,
 )

From fd2765b08c02cfe7551590ddceb7ab43e437aa2d Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 15:49:07 +1100
Subject: [PATCH 19/32] Add poverty metrics

---
 .../calculate_economy_comparison.py           | 48 +++++++++--
 .../outputs/macro/comparison/decile.py        |  4 +-
 policyengine/outputs/macro/single/__init__.py |  3 +-
 .../macro/single/calculate_single_economy.py  | 35 ++++++++
 policyengine/outputs/macro/single/poverty.py  | 79 +++++++++++++++++++
 policyengine/simulation.py                    |  7 +-
 policyengine/utils/calculations.py            | 18 ++++-
 7 files changed, 182 insertions(+), 12 deletions(-)
 create mode 100644 policyengine/outputs/macro/single/calculate_single_economy.py
 create mode 100644 policyengine/outputs/macro/single/poverty.py

diff --git a/policyengine/outputs/macro/comparison/calculate_economy_comparison.py b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
index cadaeb73..6de34762 100644
--- a/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
+++ b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
@@ -13,26 +13,42 @@
     FiscalSummary,
     calculate_inequality,
     InequalitySummary,
+    calculate_poverty,
 )
 
 from .decile import calculate_decile_impacts, DecileImpacts
 
+from typing import Literal, List
+
 
 class FiscalComparison(BaseModel):
     baseline: FiscalSummary
     reform: FiscalSummary
     change: FiscalSummary
+    relative_change: FiscalSummary
 
 class InequalityComparison(BaseModel):
     baseline: InequalitySummary
     reform: InequalitySummary
     change: InequalitySummary
+    relative_change: InequalitySummary
+
 
+class PovertyRateMetricComparison(BaseModel):
+    age_group: Literal["child", "working_age", "senior", "all"]
+    racial_group: Literal["white", "black", "hispanic", "other", "all"]
+    relative: bool
+    poverty_rate: Literal["uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half"]
+    baseline: float
+    reform: float
+    change: float
+    relative_change: float
 
 class EconomyComparison(BaseModel):
     fiscal: FiscalComparison
     inequality: InequalityComparison
     distributional: DecileImpacts
+    poverty: List[PovertyRateMetricComparison]
 
 
 def calculate_economy_comparison(
@@ -48,22 +64,44 @@ def calculate_economy_comparison(
 
     baseline_balance = calculate_government_balance(baseline, options)
     reform_balance = calculate_government_balance(reform, options)
-    balance_change = get_change(baseline_balance, reform_balance)
+    balance_change = get_change(baseline_balance, reform_balance, relative=False)
+    balance_rel_change = get_change(baseline_balance, reform_balance, relative=True)
     fiscal_comparison = FiscalComparison(
-        baseline=baseline_balance, reform=reform_balance, change=balance_change
+        baseline=baseline_balance, reform=reform_balance, change=balance_change, relative_change=balance_rel_change
     )
 
     baseline_inequality = calculate_inequality(baseline)
     reform_inequality = calculate_inequality(reform)
-    inequality_change = get_change(baseline_inequality, reform_inequality)
+    inequality_change = get_change(baseline_inequality, reform_inequality, relative=False)
+    inequality_rel_change = get_change(baseline_inequality, reform_inequality, relative=True)
     inequality_comparison = InequalityComparison(
-        baseline=baseline_inequality, reform=reform_inequality, change=inequality_change
+        baseline=baseline_inequality, reform=reform_inequality, change=inequality_change, relative_change=inequality_rel_change
     )
 
     decile_impacts = calculate_decile_impacts(baseline, reform, options)
 
+    baseline_poverty_metrics = calculate_poverty(baseline, options)
+    reform_poverty_metrics = calculate_poverty(reform, options)
+    poverty_metrics = []
+    for baseline_metric, reform_metric in zip(baseline_poverty_metrics, reform_poverty_metrics):
+        change = reform_metric.value - baseline_metric.value
+        rel_change = change / baseline_metric.value
+        poverty_metrics.append(
+            PovertyRateMetricComparison(
+                age_group=baseline_metric.age_group,
+                racial_group=baseline_metric.racial_group,
+                relative=baseline_metric.relative,
+                poverty_rate=baseline_metric.poverty_rate,
+                baseline=baseline_metric.value,
+                reform=reform_metric.value,
+                change=change,
+                relative_change=rel_change
+            )
+        )
+
     return EconomyComparison(
         fiscal=fiscal_comparison, 
         inequality=inequality_comparison,
-        distributional=decile_impacts
+        distributional=decile_impacts,
+        poverty=poverty_metrics,
     )
diff --git a/policyengine/outputs/macro/comparison/decile.py b/policyengine/outputs/macro/comparison/decile.py
index 9357a489..c08c2b07 100644
--- a/policyengine/outputs/macro/comparison/decile.py
+++ b/policyengine/outputs/macro/comparison/decile.py
@@ -53,7 +53,7 @@ class DecileImpacts(BaseModel):
 def calculate_decile_impacts(
     baseline: Microsimulation,
     reform: Microsimulation,
-    options: SimulationOptions,
+    options: "SimulationOptions",
 ) -> DecileImpacts:
     """Calculate changes to households by income and wealth deciles."""
     income_impacts = calculate_income_specific_decile_impacts(baseline, reform, by_wealth_decile=False)
@@ -195,4 +195,4 @@ def calculate_income_specific_decile_income_changes(
         relative={int(k): v for k, v in rel_decile_dict.items()},
         average={int(k): v for k, v in avg_decile_dict.items()},
     )
-    return IncomeMeasureSpecificDecileImpacts(**per_decile_changes)
\ No newline at end of file
+    return IncomeMeasureSpecificDecileIncomeChange(**per_decile_changes)
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/__init__.py b/policyengine/outputs/macro/single/__init__.py
index ce42c17c..0b394133 100644
--- a/policyengine/outputs/macro/single/__init__.py
+++ b/policyengine/outputs/macro/single/__init__.py
@@ -1,2 +1,3 @@
 from .budget import calculate_government_balance, FiscalSummary
-from .inequality import calculate_inequality, InequalitySummary
\ No newline at end of file
+from .inequality import calculate_inequality, InequalitySummary
+from .poverty import calculate_poverty, PovertyRateMetric
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/calculate_single_economy.py b/policyengine/outputs/macro/single/calculate_single_economy.py
new file mode 100644
index 00000000..9ba6c434
--- /dev/null
+++ b/policyengine/outputs/macro/single/calculate_single_economy.py
@@ -0,0 +1,35 @@
+"""Calculate comparison statistics between two economic scenarios."""
+
+import typing
+
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
+
+from pydantic import BaseModel
+
+from .budget import FiscalSummary, calculate_government_balance
+from .inequality import InequalitySummary, calculate_inequality
+from .poverty import PovertyRateMetric, calculate_poverty
+from typing import List
+
+class SingleEconomy(BaseModel):
+    fiscal: FiscalSummary
+    inequality: InequalitySummary
+    poverty: List[PovertyRateMetric]
+
+
+def calculate_single_economy(
+    simulation: "Simulation",
+) -> SingleEconomy:
+    """Calculate economy statistics for a single economic scenario."""
+    options = simulation.options
+
+    fiscal = calculate_government_balance(simulation.baseline_simulation, options)
+    inequality = calculate_inequality(simulation.baseline_simulation)
+    poverty = calculate_poverty(simulation.baseline_simulation, options)
+
+    return SingleEconomy(
+        fiscal=fiscal,
+        inequality=inequality,
+        poverty=poverty,
+    )
\ No newline at end of file
diff --git a/policyengine/outputs/macro/single/poverty.py b/policyengine/outputs/macro/single/poverty.py
new file mode 100644
index 00000000..f761864b
--- /dev/null
+++ b/policyengine/outputs/macro/single/poverty.py
@@ -0,0 +1,79 @@
+import typing
+
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation, SimulationOptions
+
+from policyengine_core.simulations import Microsimulation
+
+from pydantic import BaseModel
+from typing import Literal, List
+import numpy as np
+
+class PovertyRateMetric(BaseModel):
+    age_group: Literal["child", "working_age", "senior", "all"]
+    racial_group: Literal["white", "black", "hispanic", "other", "all"]
+    relative: bool
+    poverty_rate: Literal["uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half"]
+    value: float
+
+
+AGE_BOUNDS = {
+    "child": (0, 18),
+    "working_age": (18, 65),
+    "senior": (65, np.inf),
+    "all": (0, np.inf),
+}
+
+def calculate_poverty(
+    simulation: Microsimulation,
+    options: "SimulationOptions",
+) -> List[PovertyRateMetric]:
+    """Calculate poverty statistics for a set of households."""
+    
+    poverty_metrics = []
+    age = simulation.calculate("age")
+    person_weight = simulation.calculate("person_weight").values
+    if options.country == "us":
+        racial_groups = ["white", "black", "hispanic", "other", "all"]
+    else:
+        racial_groups = ["all"]
+    for age_group in ["child", "working_age", "senior", "all"]:
+        lower_age, upper_age = AGE_BOUNDS[age_group]
+        in_age_group = (age >= lower_age) & (age < upper_age)
+        for racial_group in racial_groups:
+            if racial_group != "all":
+                in_racial_group = simulation.calculate("race") == racial_group
+            else:
+                in_racial_group = np.ones_like(age, dtype=bool)
+            for relative in [True, False]:
+                for poverty_rate in ["uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half"]:
+                    if not poverty_rate.startswith(options.country):
+                        continue
+                
+                    if poverty_rate == "uk_hbai_bhc":
+                        in_poverty = simulation.calculate("in_poverty", map_to="person")
+                    elif poverty_rate == "uk_hbai_bhc_half":
+                        in_poverty = simulation.calculate("in_deep_poverty", map_to="person")
+                    elif poverty_rate == "us_spm":
+                        in_poverty = simulation.calculate("in_poverty", map_to="person")
+                    elif poverty_rate == "us_spm_half":
+                        in_poverty = simulation.calculate("in_deep_poverty", map_to="person")
+                
+                    in_group = np.array(in_age_group & in_racial_group)
+                    total_in_group = (in_group * person_weight).sum()
+                    total_in_group_in_poverty = (in_group * in_poverty * person_weight).sum()
+                    if relative:
+                        result = total_in_group_in_poverty / total_in_group
+                    else:
+                        result = total_in_group_in_poverty
+                    
+                    poverty_metrics.append(PovertyRateMetric(
+                        age_group=age_group,
+                        racial_group=racial_group,
+                        relative=relative,
+                        poverty_rate=poverty_rate,
+                        value=result,
+                    ))
+
+
+    return poverty_metrics
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index f60c3bd1..c07552a1 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -28,6 +28,7 @@
     calculate_economy_comparison,
     EconomyComparison,
 )
+from .outputs.macro.single.calculate_single_economy import SingleEconomy, calculate_single_economy
 
 CountryType = Literal["uk", "us"]
 ScopeType = Literal["household", "macro"]
@@ -45,7 +46,7 @@ class SimulationOptions(BaseModel):
     scope: ScopeType = Field(..., description="The scope of the simulation.")
     data: DataType = Field(None, description="The data to simulate.")
     time_period: TimePeriodType = Field(
-        ..., description="The time period to simulate.", ge=2024, le=2035
+        2025, description="The time period to simulate.", ge=2024, le=2035
     )
     reform: ReformType = Field(None, description="The reform to simulate.")
     baseline: ReformType = Field(None, description="The baseline to simulate.")
@@ -296,3 +297,7 @@ def _data_handle_cps_special_case(self):
     def calculate_economy_comparison(self) -> EconomyComparison:
         """Calculate comparison statistics between two economic scenarios."""
         return calculate_economy_comparison(self)
+    
+    def calculate_single_economy(self) -> SingleEconomy:
+        """Calculate economy statistics for a single economic scenario."""
+        return calculate_single_economy(self)
diff --git a/policyengine/utils/calculations.py b/policyengine/utils/calculations.py
index c4e9a853..b6c24e7e 100644
--- a/policyengine/utils/calculations.py
+++ b/policyengine/utils/calculations.py
@@ -1,12 +1,13 @@
 from typing import Dict
 from pydantic import BaseModel
 
-Output = Dict[str, float]
+Output = Dict[str, float | None]
 
 
 def get_change(
     x: Output | Dict[str, Output],
     y: Output | Dict[str, Output],
+    relative: bool,
 ) -> Output | Dict[str, Output]:
     """Take two objects of nested str-float relations and create a similarly-structured object with the differences."""
     if isinstance(x, BaseModel):
@@ -19,8 +20,19 @@ def get_change(
     result = {}
     for key in x:
         if isinstance(x[key], dict):
-            result[key] = get_change(x[key], y[key])
-        else:
+            result[key] = get_change(x[key], y[key], relative=relative)
+        elif x[key] is None and y[key] is None:
+            result[key] = None
+        elif x[key] is None:
+            raise ValueError(f"Key {key} is None in x but not in y")
+        elif y[key] is None:
+            raise ValueError(f"Key {key} is None in y but not in x")
+        elif not relative:
             result[key] = y[key] - x[key]
+        else:
+            if x[key] == 0:
+                result[key] = 0
+            else:
+                result[key] = (y[key] - x[key]) / x[key]
 
     return output_class(**result)

From 5153bc398317518db4e6440e9b9ded32d442c519 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 15:49:14 +1100
Subject: [PATCH 20/32] Format

---
 policyengine/outputs/api_compare.py           | 16 ++++--
 .../calculate_economy_comparison.py           | 40 +++++++++----
 .../outputs/macro/comparison/decile.py        | 40 ++++++++-----
 policyengine/outputs/macro/single/__init__.py |  2 +-
 .../macro/single/calculate_single_economy.py  |  7 ++-
 policyengine/outputs/macro/single/poverty.py  | 56 +++++++++++++------
 policyengine/simulation.py                    |  7 ++-
 7 files changed, 115 insertions(+), 53 deletions(-)

diff --git a/policyengine/outputs/api_compare.py b/policyengine/outputs/api_compare.py
index 2f561628..18b5ad8d 100644
--- a/policyengine/outputs/api_compare.py
+++ b/policyengine/outputs/api_compare.py
@@ -525,18 +525,22 @@ def compare_economic_outputs(
         detailed_budgetary_impact_data = detailed_budgetary_impact(  # done
             baseline, reform, country_id
         )
-        decile_impact_data = decile_impact(baseline, reform) # done
-        inequality_impact_data = inequality_impact(baseline, reform) # done
+        decile_impact_data = decile_impact(baseline, reform)  # done
+        inequality_impact_data = inequality_impact(baseline, reform)  # done
         poverty_impact_data = poverty_impact(baseline, reform)
         poverty_by_gender_data = poverty_gender_breakdown(baseline, reform)
         poverty_by_race_data = poverty_racial_breakdown(baseline, reform)
-        intra_decile_impact_data = intra_decile_impact(baseline, reform) # done
+        intra_decile_impact_data = intra_decile_impact(
+            baseline, reform
+        )  # done
         labor_supply_response_data = labor_supply_response(baseline, reform)
         try:
-            wealth_decile_impact_data = wealth_decile_impact(baseline, reform) # done
-            intra_wealth_decile_impact_data = intra_wealth_decile_impact( # done
+            wealth_decile_impact_data = wealth_decile_impact(
                 baseline, reform
-            )
+            )  # done
+            intra_wealth_decile_impact_data = intra_wealth_decile_impact(
+                baseline, reform
+            )  # done
         except:
             wealth_decile_impact_data = {}
             intra_wealth_decile_impact_data = {}
diff --git a/policyengine/outputs/macro/comparison/calculate_economy_comparison.py b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
index 6de34762..275fe899 100644
--- a/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
+++ b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
@@ -27,6 +27,7 @@ class FiscalComparison(BaseModel):
     change: FiscalSummary
     relative_change: FiscalSummary
 
+
 class InequalityComparison(BaseModel):
     baseline: InequalitySummary
     reform: InequalitySummary
@@ -38,12 +39,15 @@ class PovertyRateMetricComparison(BaseModel):
     age_group: Literal["child", "working_age", "senior", "all"]
     racial_group: Literal["white", "black", "hispanic", "other", "all"]
     relative: bool
-    poverty_rate: Literal["uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half"]
+    poverty_rate: Literal[
+        "uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half"
+    ]
     baseline: float
     reform: float
     change: float
     relative_change: float
 
+
 class EconomyComparison(BaseModel):
     fiscal: FiscalComparison
     inequality: InequalityComparison
@@ -64,18 +68,32 @@ def calculate_economy_comparison(
 
     baseline_balance = calculate_government_balance(baseline, options)
     reform_balance = calculate_government_balance(reform, options)
-    balance_change = get_change(baseline_balance, reform_balance, relative=False)
-    balance_rel_change = get_change(baseline_balance, reform_balance, relative=True)
+    balance_change = get_change(
+        baseline_balance, reform_balance, relative=False
+    )
+    balance_rel_change = get_change(
+        baseline_balance, reform_balance, relative=True
+    )
     fiscal_comparison = FiscalComparison(
-        baseline=baseline_balance, reform=reform_balance, change=balance_change, relative_change=balance_rel_change
+        baseline=baseline_balance,
+        reform=reform_balance,
+        change=balance_change,
+        relative_change=balance_rel_change,
     )
 
     baseline_inequality = calculate_inequality(baseline)
     reform_inequality = calculate_inequality(reform)
-    inequality_change = get_change(baseline_inequality, reform_inequality, relative=False)
-    inequality_rel_change = get_change(baseline_inequality, reform_inequality, relative=True)
+    inequality_change = get_change(
+        baseline_inequality, reform_inequality, relative=False
+    )
+    inequality_rel_change = get_change(
+        baseline_inequality, reform_inequality, relative=True
+    )
     inequality_comparison = InequalityComparison(
-        baseline=baseline_inequality, reform=reform_inequality, change=inequality_change, relative_change=inequality_rel_change
+        baseline=baseline_inequality,
+        reform=reform_inequality,
+        change=inequality_change,
+        relative_change=inequality_rel_change,
     )
 
     decile_impacts = calculate_decile_impacts(baseline, reform, options)
@@ -83,7 +101,9 @@ def calculate_economy_comparison(
     baseline_poverty_metrics = calculate_poverty(baseline, options)
     reform_poverty_metrics = calculate_poverty(reform, options)
     poverty_metrics = []
-    for baseline_metric, reform_metric in zip(baseline_poverty_metrics, reform_poverty_metrics):
+    for baseline_metric, reform_metric in zip(
+        baseline_poverty_metrics, reform_poverty_metrics
+    ):
         change = reform_metric.value - baseline_metric.value
         rel_change = change / baseline_metric.value
         poverty_metrics.append(
@@ -95,12 +115,12 @@ def calculate_economy_comparison(
                 baseline=baseline_metric.value,
                 reform=reform_metric.value,
                 change=change,
-                relative_change=rel_change
+                relative_change=rel_change,
             )
         )
 
     return EconomyComparison(
-        fiscal=fiscal_comparison, 
+        fiscal=fiscal_comparison,
         inequality=inequality_comparison,
         distributional=decile_impacts,
         poverty=poverty_metrics,
diff --git a/policyengine/outputs/macro/comparison/decile.py b/policyengine/outputs/macro/comparison/decile.py
index c08c2b07..61dc7381 100644
--- a/policyengine/outputs/macro/comparison/decile.py
+++ b/policyengine/outputs/macro/comparison/decile.py
@@ -9,12 +9,14 @@
 from typing import Dict
 import numpy as np
 
+
 class IncomeMeasureSpecificDecileIncomeChange(BaseModel):
     relative: Dict[int, float]
     """Relative impacts by income decile."""
     average: Dict[int, float]
     """Average impacts by income decile."""
 
+
 class IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(BaseModel):
     lose_more_than_5_percent_share: float
     """Share of households losing more than 5% of net income."""
@@ -31,18 +33,21 @@ class IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(BaseModel):
     gain_more_than_5_percent_share: float
     """Share of households gaining more than 5% of net income."""
 
+
 class IncomeMeasureSpecificDecileWinnersLosers(BaseModel):
     deciles: Dict[int, IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes]
     """Winners and losers by income decile."""
     all: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes
     """Winners and losers for all households."""
 
+
 class IncomeMeasureSpecificDecileImpacts(BaseModel):
     income_change: IncomeMeasureSpecificDecileIncomeChange
     """Income change by income decile."""
     winners_and_losers: IncomeMeasureSpecificDecileWinnersLosers
     """Winners and losers by income decile."""
 
+
 class DecileImpacts(BaseModel):
     income: IncomeMeasureSpecificDecileImpacts
     """Impacts by income decile."""
@@ -56,22 +61,34 @@ def calculate_decile_impacts(
     options: "SimulationOptions",
 ) -> DecileImpacts:
     """Calculate changes to households by income and wealth deciles."""
-    income_impacts = calculate_income_specific_decile_impacts(baseline, reform, by_wealth_decile=False)
+    income_impacts = calculate_income_specific_decile_impacts(
+        baseline, reform, by_wealth_decile=False
+    )
     if options.country == "uk":
-        wealth_impacts = calculate_income_specific_decile_impacts(baseline, reform, by_wealth_decile=True)
+        wealth_impacts = calculate_income_specific_decile_impacts(
+            baseline, reform, by_wealth_decile=True
+        )
     else:
         wealth_impacts = None
     return DecileImpacts(income=income_impacts, wealth=wealth_impacts)
 
+
 def calculate_income_specific_decile_impacts(
     baseline: Microsimulation,
     reform: Microsimulation,
     by_wealth_decile: bool,
 ) -> IncomeMeasureSpecificDecileImpacts:
     """Calculate changes to households by income and wealth deciles."""
-    income_impacts = calculate_income_specific_decile_income_changes(baseline, reform, by_wealth_decile)
-    winners_losers = calculate_income_specific_decile_winners_losers(baseline, reform, by_wealth_decile)
-    return IncomeMeasureSpecificDecileImpacts(income_change=income_impacts, winners_and_losers=winners_losers)
+    income_impacts = calculate_income_specific_decile_income_changes(
+        baseline, reform, by_wealth_decile
+    )
+    winners_losers = calculate_income_specific_decile_winners_losers(
+        baseline, reform, by_wealth_decile
+    )
+    return IncomeMeasureSpecificDecileImpacts(
+        income_change=income_impacts, winners_and_losers=winners_losers
+    )
+
 
 def calculate_income_specific_decile_winners_losers(
     baseline: Microsimulation,
@@ -88,9 +105,7 @@ def calculate_income_specific_decile_winners_losers(
         wealth = baseline.calculate("total_wealth")
         household_count_people = baseline.calculate("household_count_people")
         wealth.weights *= household_count_people
-        decile = (
-            wealth.decile_rank().clip(1, 10).astype(int)
-        )
+        decile = wealth.decile_rank().clip(1, 10).astype(int)
     # Filter out negative decile values due to negative incomes
     absolute_change = (reform_income - baseline_income).values
     capped_baseline_income = np.maximum(baseline_income.values, 1)
@@ -154,9 +169,8 @@ def calculate_income_specific_decile_winners_losers(
             if d not in deciles:
                 deciles[d] = {}
             deciles[d][label] = share_in_group
-    
-    return IncomeMeasureSpecificDecileWinnersLosers(deciles=deciles, all=all)
 
+    return IncomeMeasureSpecificDecileWinnersLosers(deciles=deciles, all=all)
 
 
 def calculate_income_specific_decile_income_changes(
@@ -173,9 +187,7 @@ def calculate_income_specific_decile_income_changes(
         wealth = baseline.calculate("total_wealth")
         household_count_people = baseline.calculate("household_count_people")
         wealth.weights *= household_count_people
-        decile = (
-            wealth.decile_rank().clip(1, 10).astype(int)
-        )
+        decile = wealth.decile_rank().clip(1, 10).astype(int)
     # Filter out negative decile values due to negative incomes
     baseline_income_filtered = baseline_income[decile >= 0]
     reform_income_filtered = reform_income[decile >= 0]
@@ -195,4 +207,4 @@ def calculate_income_specific_decile_income_changes(
         relative={int(k): v for k, v in rel_decile_dict.items()},
         average={int(k): v for k, v in avg_decile_dict.items()},
     )
-    return IncomeMeasureSpecificDecileIncomeChange(**per_decile_changes)
\ No newline at end of file
+    return IncomeMeasureSpecificDecileIncomeChange(**per_decile_changes)
diff --git a/policyengine/outputs/macro/single/__init__.py b/policyengine/outputs/macro/single/__init__.py
index 0b394133..50b6e74a 100644
--- a/policyengine/outputs/macro/single/__init__.py
+++ b/policyengine/outputs/macro/single/__init__.py
@@ -1,3 +1,3 @@
 from .budget import calculate_government_balance, FiscalSummary
 from .inequality import calculate_inequality, InequalitySummary
-from .poverty import calculate_poverty, PovertyRateMetric
\ No newline at end of file
+from .poverty import calculate_poverty, PovertyRateMetric
diff --git a/policyengine/outputs/macro/single/calculate_single_economy.py b/policyengine/outputs/macro/single/calculate_single_economy.py
index 9ba6c434..9a117e03 100644
--- a/policyengine/outputs/macro/single/calculate_single_economy.py
+++ b/policyengine/outputs/macro/single/calculate_single_economy.py
@@ -12,6 +12,7 @@
 from .poverty import PovertyRateMetric, calculate_poverty
 from typing import List
 
+
 class SingleEconomy(BaseModel):
     fiscal: FiscalSummary
     inequality: InequalitySummary
@@ -24,7 +25,9 @@ def calculate_single_economy(
     """Calculate economy statistics for a single economic scenario."""
     options = simulation.options
 
-    fiscal = calculate_government_balance(simulation.baseline_simulation, options)
+    fiscal = calculate_government_balance(
+        simulation.baseline_simulation, options
+    )
     inequality = calculate_inequality(simulation.baseline_simulation)
     poverty = calculate_poverty(simulation.baseline_simulation, options)
 
@@ -32,4 +35,4 @@ def calculate_single_economy(
         fiscal=fiscal,
         inequality=inequality,
         poverty=poverty,
-    )
\ No newline at end of file
+    )
diff --git a/policyengine/outputs/macro/single/poverty.py b/policyengine/outputs/macro/single/poverty.py
index f761864b..6c710cb7 100644
--- a/policyengine/outputs/macro/single/poverty.py
+++ b/policyengine/outputs/macro/single/poverty.py
@@ -9,11 +9,14 @@
 from typing import Literal, List
 import numpy as np
 
+
 class PovertyRateMetric(BaseModel):
     age_group: Literal["child", "working_age", "senior", "all"]
     racial_group: Literal["white", "black", "hispanic", "other", "all"]
     relative: bool
-    poverty_rate: Literal["uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half"]
+    poverty_rate: Literal[
+        "uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half"
+    ]
     value: float
 
 
@@ -24,12 +27,13 @@ class PovertyRateMetric(BaseModel):
     "all": (0, np.inf),
 }
 
+
 def calculate_poverty(
     simulation: Microsimulation,
     options: "SimulationOptions",
 ) -> List[PovertyRateMetric]:
     """Calculate poverty statistics for a set of households."""
-    
+
     poverty_metrics = []
     age = simulation.calculate("age")
     person_weight = simulation.calculate("person_weight").values
@@ -46,34 +50,50 @@ def calculate_poverty(
             else:
                 in_racial_group = np.ones_like(age, dtype=bool)
             for relative in [True, False]:
-                for poverty_rate in ["uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half"]:
+                for poverty_rate in [
+                    "uk_hbai_bhc",
+                    "uk_hbai_bhc_half",
+                    "us_spm",
+                    "us_spm_half",
+                ]:
                     if not poverty_rate.startswith(options.country):
                         continue
-                
+
                     if poverty_rate == "uk_hbai_bhc":
-                        in_poverty = simulation.calculate("in_poverty", map_to="person")
+                        in_poverty = simulation.calculate(
+                            "in_poverty", map_to="person"
+                        )
                     elif poverty_rate == "uk_hbai_bhc_half":
-                        in_poverty = simulation.calculate("in_deep_poverty", map_to="person")
+                        in_poverty = simulation.calculate(
+                            "in_deep_poverty", map_to="person"
+                        )
                     elif poverty_rate == "us_spm":
-                        in_poverty = simulation.calculate("in_poverty", map_to="person")
+                        in_poverty = simulation.calculate(
+                            "in_poverty", map_to="person"
+                        )
                     elif poverty_rate == "us_spm_half":
-                        in_poverty = simulation.calculate("in_deep_poverty", map_to="person")
-                
+                        in_poverty = simulation.calculate(
+                            "in_deep_poverty", map_to="person"
+                        )
+
                     in_group = np.array(in_age_group & in_racial_group)
                     total_in_group = (in_group * person_weight).sum()
-                    total_in_group_in_poverty = (in_group * in_poverty * person_weight).sum()
+                    total_in_group_in_poverty = (
+                        in_group * in_poverty * person_weight
+                    ).sum()
                     if relative:
                         result = total_in_group_in_poverty / total_in_group
                     else:
                         result = total_in_group_in_poverty
-                    
-                    poverty_metrics.append(PovertyRateMetric(
-                        age_group=age_group,
-                        racial_group=racial_group,
-                        relative=relative,
-                        poverty_rate=poverty_rate,
-                        value=result,
-                    ))
 
+                    poverty_metrics.append(
+                        PovertyRateMetric(
+                            age_group=age_group,
+                            racial_group=racial_group,
+                            relative=relative,
+                            poverty_rate=poverty_rate,
+                            value=result,
+                        )
+                    )
 
     return poverty_metrics
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index c07552a1..c977e8ec 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -28,7 +28,10 @@
     calculate_economy_comparison,
     EconomyComparison,
 )
-from .outputs.macro.single.calculate_single_economy import SingleEconomy, calculate_single_economy
+from .outputs.macro.single.calculate_single_economy import (
+    SingleEconomy,
+    calculate_single_economy,
+)
 
 CountryType = Literal["uk", "us"]
 ScopeType = Literal["household", "macro"]
@@ -297,7 +300,7 @@ def _data_handle_cps_special_case(self):
     def calculate_economy_comparison(self) -> EconomyComparison:
         """Calculate comparison statistics between two economic scenarios."""
         return calculate_economy_comparison(self)
-    
+
     def calculate_single_economy(self) -> SingleEconomy:
         """Calculate economy statistics for a single economic scenario."""
         return calculate_single_economy(self)

From 34aacd14e4a0ac1ffeafa6e745df3c630c1f8a56 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 17:07:32 +1100
Subject: [PATCH 21/32] Remove original API placeholder code

---
 policyengine/outputs/api_compare.py           | 571 ------------------
 policyengine/outputs/api_single.py            | 365 -----------
 .../calculate_economy_comparison.py           |  23 +
 .../outputs/macro/comparison/labor_supply.py  | 119 ++++
 .../macro/single/calculate_single_economy.py  |   3 +
 policyengine/outputs/macro/single/poverty.py  |   5 +
 6 files changed, 150 insertions(+), 936 deletions(-)
 delete mode 100644 policyengine/outputs/api_compare.py
 delete mode 100644 policyengine/outputs/api_single.py
 create mode 100644 policyengine/outputs/macro/comparison/labor_supply.py

diff --git a/policyengine/outputs/api_compare.py b/policyengine/outputs/api_compare.py
deleted file mode 100644
index 18b5ad8d..00000000
--- a/policyengine/outputs/api_compare.py
+++ /dev/null
@@ -1,571 +0,0 @@
-from microdf import MicroDataFrame, MicroSeries
-import numpy as np
-import sys
-
-
-def budgetary_impact(baseline: dict, reform: dict) -> dict:
-    tax_revenue_impact = reform["total_tax"] - baseline["total_tax"]
-    state_tax_revenue_impact = (
-        reform["total_state_tax"] - baseline["total_state_tax"]
-    )
-    benefit_spending_impact = (
-        reform["total_benefits"] - baseline["total_benefits"]
-    )
-    budgetary_impact = tax_revenue_impact - benefit_spending_impact
-    return dict(
-        budgetary_impact=budgetary_impact,
-        tax_revenue_impact=tax_revenue_impact,
-        state_tax_revenue_impact=state_tax_revenue_impact,
-        benefit_spending_impact=benefit_spending_impact,
-        households=sum(baseline["household_weight"]),
-        baseline_net_income=baseline["total_net_income"],
-    )
-
-
-def labor_supply_response(baseline: dict, reform: dict) -> dict:
-    substitution_lsr = (
-        reform["substitution_lsr"] - baseline["substitution_lsr"]
-    )
-    income_lsr = reform["income_lsr"] - baseline["income_lsr"]
-    total_change = substitution_lsr + income_lsr
-    revenue_change = (
-        reform["budgetary_impact_lsr"] - baseline["budgetary_impact_lsr"]
-    )
-
-    substitution_lsr_hh = np.array(reform["substitution_lsr_hh"]) - np.array(
-        baseline["substitution_lsr_hh"]
-    )
-    income_lsr_hh = np.array(reform["income_lsr_hh"]) - np.array(
-        baseline["income_lsr_hh"]
-    )
-    decile = np.array(baseline["household_income_decile"])
-    household_weight = baseline["household_weight"]
-
-    total_lsr_hh = substitution_lsr_hh + income_lsr_hh
-
-    emp_income = MicroSeries(
-        baseline["employment_income_hh"], weights=household_weight
-    )
-    self_emp_income = MicroSeries(
-        baseline["self_employment_income_hh"], weights=household_weight
-    )
-    earnings = emp_income + self_emp_income
-    original_earnings = earnings - total_lsr_hh
-    substitution_lsr_hh = MicroSeries(
-        substitution_lsr_hh, weights=household_weight
-    )
-    income_lsr_hh = MicroSeries(income_lsr_hh, weights=household_weight)
-
-    decile_avg = dict(
-        income=income_lsr_hh.groupby(decile).mean().to_dict(),
-        substitution=substitution_lsr_hh.groupby(decile).mean().to_dict(),
-    )
-    decile_rel = dict(
-        income=(
-            income_lsr_hh.groupby(decile).sum()
-            / original_earnings.groupby(decile).sum()
-        ).to_dict(),
-        substitution=(
-            substitution_lsr_hh.groupby(decile).sum()
-            / original_earnings.groupby(decile).sum()
-        ).to_dict(),
-    )
-
-    relative_lsr = dict(
-        income=(income_lsr_hh.sum() / original_earnings.sum()),
-        substitution=(substitution_lsr_hh.sum() / original_earnings.sum()),
-    )
-
-    decile_rel["income"] = {
-        int(k): v for k, v in decile_rel["income"].items() if k > 0
-    }
-    decile_rel["substitution"] = {
-        int(k): v for k, v in decile_rel["substitution"].items() if k > 0
-    }
-
-    hours = dict(
-        baseline=baseline["weekly_hours"],
-        reform=reform["weekly_hours"],
-        change=reform["weekly_hours"] - baseline["weekly_hours"],
-        income_effect=reform["weekly_hours_income_effect"]
-        - baseline["weekly_hours_income_effect"],
-        substitution_effect=reform["weekly_hours_substitution_effect"]
-        - baseline["weekly_hours_substitution_effect"],
-    )
-
-    return dict(
-        substitution_lsr=substitution_lsr,
-        income_lsr=income_lsr,
-        relative_lsr=relative_lsr,
-        total_change=total_change,
-        revenue_change=revenue_change,
-        decile=dict(
-            average=decile_avg,
-            relative=decile_rel,
-        ),
-        hours=hours,
-    )
-
-
-def detailed_budgetary_impact(
-    baseline: dict, reform: dict, country_id: str
-) -> dict:
-    result = {}
-    if country_id == "uk":
-        for program in baseline["programs"]:
-            # baseline[programs][program] = total budgetary impact of program
-            result[program] = dict(
-                baseline=baseline["programs"][program],
-                reform=reform["programs"][program],
-                difference=reform["programs"][program]
-                - baseline["programs"][program],
-            )
-    return result
-
-
-def decile_impact(baseline: dict, reform: dict) -> dict:
-    """
-    Compare the impact of a reform on the deciles of the population.
-
-    Args:
-        baseline (dict): The baseline economy.
-        reform (dict): The reform economy.
-
-    Returns:
-        dict: The impact of the reform on the deciles of the population.
-    """
-    baseline_income = MicroSeries(
-        baseline["household_net_income"], weights=baseline["household_weight"]
-    )
-    reform_income = MicroSeries(
-        reform["household_net_income"], weights=baseline_income.weights
-    )
-
-    # Filter out negative decile values
-    decile = MicroSeries(baseline["household_income_decile"])
-    baseline_income_filtered = baseline_income[decile >= 0]
-    reform_income_filtered = reform_income[decile >= 0]
-
-    income_change = reform_income_filtered - baseline_income_filtered
-    rel_income_change_by_decile = (
-        income_change.groupby(decile).sum()
-        / baseline_income_filtered.groupby(decile).sum()
-    )
-
-    avg_income_change_by_decile = (
-        income_change.groupby(decile).sum()
-        / baseline_income_filtered.groupby(decile).count()
-    )
-    rel_decile_dict = rel_income_change_by_decile.to_dict()
-    avg_decile_dict = avg_income_change_by_decile.to_dict()
-    result = dict(
-        relative={int(k): v for k, v in rel_decile_dict.items()},
-        average={int(k): v for k, v in avg_decile_dict.items()},
-    )
-    return result
-
-
-def wealth_decile_impact(baseline: dict, reform: dict) -> dict:
-    """
-    Compare the impact of a reform on the deciles of the population.
-
-    Args:
-        baseline (dict): The baseline economy.
-        reform (dict): The reform economy.
-
-    Returns:
-        dict: The impact of the reform on the deciles of the population.
-    """
-    baseline_income = MicroSeries(
-        baseline["household_net_income"], weights=baseline["household_weight"]
-    )
-    reform_income = MicroSeries(
-        reform["household_net_income"], weights=baseline_income.weights
-    )
-
-    # Filter out negative decile values
-    decile = MicroSeries(baseline["household_wealth_decile"])
-    baseline_income_filtered = baseline_income[decile >= 0]
-    reform_income_filtered = reform_income[decile >= 0]
-
-    income_change = reform_income_filtered - baseline_income_filtered
-    rel_income_change_by_decile = (
-        income_change.groupby(decile).sum()
-        / baseline_income_filtered.groupby(decile).sum()
-    )
-    avg_income_change_by_decile = (
-        income_change.groupby(decile).sum()
-        / baseline_income_filtered.groupby(decile).count()
-    )
-    rel_decile_dict = rel_income_change_by_decile.to_dict()
-    avg_decile_dict = avg_income_change_by_decile.to_dict()
-    result = dict(
-        relative={int(k): v for k, v in rel_decile_dict.items()},
-        average={int(k): v for k, v in avg_decile_dict.items()},
-    )
-    return result
-
-
-def inequality_impact(baseline: dict, reform: dict) -> dict:
-    """
-    Compare the impact of a reform on inequality.
-
-    Args:
-        baseline (dict): The baseline economy.
-        reform (dict): The reform economy.
-
-    Returns:
-        dict: The impact of the reform on inequality.
-    """
-
-    return dict(
-        gini=dict(
-            baseline=baseline["gini"],
-            reform=reform["gini"],
-        ),
-        top_10_pct_share=dict(
-            baseline=baseline["top_10_percent_share"],
-            reform=reform["top_10_percent_share"],
-        ),
-        top_1_pct_share=dict(
-            baseline=baseline["top_1_percent_share"],
-            reform=reform["top_1_percent_share"],
-        ),
-    )
-
-
-def poverty_impact(baseline: dict, reform: dict) -> dict:
-    """
-    Compare the impact of a reform on poverty.
-
-    Args:
-        baseline (dict): The baseline economy.
-        reform (dict): The reform economy.
-
-    Returns:
-        dict: The impact of the reform on poverty.
-    """
-    baseline_poverty = MicroSeries(
-        baseline["person_in_poverty"], weights=baseline["person_weight"]
-    )
-    baseline_deep_poverty = MicroSeries(
-        baseline["person_in_deep_poverty"], weights=baseline["person_weight"]
-    )
-    reform_poverty = MicroSeries(
-        reform["person_in_poverty"], weights=baseline_poverty.weights
-    )
-    reform_deep_poverty = MicroSeries(
-        reform["person_in_deep_poverty"], weights=baseline_poverty.weights
-    )
-    age = MicroSeries(baseline["age"])
-
-    poverty = dict(
-        child=dict(
-            baseline=float(baseline_poverty[age < 18].mean()),
-            reform=float(reform_poverty[age < 18].mean()),
-        ),
-        adult=dict(
-            baseline=float(baseline_poverty[(age >= 18) & (age < 65)].mean()),
-            reform=float(reform_poverty[(age >= 18) & (age < 65)].mean()),
-        ),
-        senior=dict(
-            baseline=float(baseline_poverty[age >= 65].mean()),
-            reform=float(reform_poverty[age >= 65].mean()),
-        ),
-        all=dict(
-            baseline=float(baseline_poverty.mean()),
-            reform=float(reform_poverty.mean()),
-        ),
-    )
-
-    deep_poverty = dict(
-        child=dict(
-            baseline=float(baseline_deep_poverty[age < 18].mean()),
-            reform=float(reform_deep_poverty[age < 18].mean()),
-        ),
-        adult=dict(
-            baseline=float(
-                baseline_deep_poverty[(age >= 18) & (age < 65)].mean()
-            ),
-            reform=float(reform_deep_poverty[(age >= 18) & (age < 65)].mean()),
-        ),
-        senior=dict(
-            baseline=float(baseline_deep_poverty[age >= 65].mean()),
-            reform=float(reform_deep_poverty[age >= 65].mean()),
-        ),
-        all=dict(
-            baseline=float(baseline_deep_poverty.mean()),
-            reform=float(reform_deep_poverty.mean()),
-        ),
-    )
-
-    return dict(
-        poverty=poverty,
-        deep_poverty=deep_poverty,
-    )
-
-
-def intra_decile_impact(baseline: dict, reform: dict) -> dict:
-    baseline_income = MicroSeries(
-        baseline["household_net_income"], weights=baseline["household_weight"]
-    )
-    reform_income = MicroSeries(
-        reform["household_net_income"], weights=baseline_income.weights
-    )
-    people = MicroSeries(
-        baseline["household_count_people"], weights=baseline_income.weights
-    )
-    decile = MicroSeries(baseline["household_income_decile"]).values
-    absolute_change = (reform_income - baseline_income).values
-    capped_baseline_income = np.maximum(baseline_income.values, 1)
-    capped_reform_income = (
-        np.maximum(reform_income.values, 1) + absolute_change
-    )
-    income_change = (
-        capped_reform_income - capped_baseline_income
-    ) / capped_baseline_income
-
-    # Within each decile, calculate the percentage of people who:
-    # 1. Gained more than 5% of their income
-    # 2. Gained between 0% and 5% of their income
-    # 3. Had no change in income
-    # 3. Lost between 0% and 5% of their income
-    # 4. Lost more than 5% of their income
-
-    outcome_groups = {}
-    all_outcomes = {}
-    BOUNDS = [-np.inf, -0.05, -1e-3, 1e-3, 0.05, np.inf]
-    LABELS = [
-        "Lose more than 5%",
-        "Lose less than 5%",
-        "No change",
-        "Gain less than 5%",
-        "Gain more than 5%",
-    ]
-    for lower, upper, label in zip(BOUNDS[:-1], BOUNDS[1:], LABELS):
-        outcome_groups[label] = []
-        for i in range(1, 11):
-            in_decile = decile == i
-            in_group = (income_change > lower) & (income_change <= upper)
-            in_both = in_decile & in_group
-            outcome_groups[label].append(
-                float(people[in_both].sum() / people[in_decile].sum())
-            )
-        all_outcomes[label] = sum(outcome_groups[label]) / 10
-    return dict(deciles=outcome_groups, all=all_outcomes)
-
-
-def intra_wealth_decile_impact(baseline: dict, reform: dict) -> dict:
-    baseline_income = MicroSeries(
-        baseline["household_net_income"], weights=baseline["household_weight"]
-    )
-    reform_income = MicroSeries(
-        reform["household_net_income"], weights=baseline_income.weights
-    )
-    people = MicroSeries(
-        baseline["household_count_people"], weights=baseline_income.weights
-    )
-    decile = MicroSeries(baseline["household_wealth_decile"]).values
-    absolute_change = (reform_income - baseline_income).values
-    capped_baseline_income = np.maximum(baseline_income.values, 1)
-    capped_reform_income = (
-        np.maximum(reform_income.values, 1) + absolute_change
-    )
-    income_change = (
-        capped_reform_income - capped_baseline_income
-    ) / capped_baseline_income
-
-    # Within each decile, calculate the percentage of people who:
-    # 1. Gained more than 5% of their income
-    # 2. Gained between 0% and 5% of their income
-    # 3. Had no change in income
-    # 3. Lost between 0% and 5% of their income
-    # 4. Lost more than 5% of their income
-
-    outcome_groups = {}
-    all_outcomes = {}
-    BOUNDS = [-np.inf, -0.05, -1e-3, 1e-3, 0.05, np.inf]
-    LABELS = [
-        "Lose more than 5%",
-        "Lose less than 5%",
-        "No change",
-        "Gain less than 5%",
-        "Gain more than 5%",
-    ]
-    for lower, upper, label in zip(BOUNDS[:-1], BOUNDS[1:], LABELS):
-        outcome_groups[label] = []
-        for i in range(1, 11):
-            in_decile = decile == i
-            in_group = (income_change > lower) & (income_change <= upper)
-            in_both = in_decile & in_group
-            outcome_groups[label].append(
-                float(people[in_both].sum() / people[in_decile].sum())
-            )
-        all_outcomes[label] = sum(outcome_groups[label]) / 10
-    return dict(deciles=outcome_groups, all=all_outcomes)
-
-
-def poverty_gender_breakdown(baseline: dict, reform: dict) -> dict:
-    """
-    Compare the impact of a reform on poverty.
-
-    Args:
-        baseline (dict): The baseline economy.
-        reform (dict): The reform economy.
-
-    Returns:
-        dict: The impact of the reform on poverty.
-    """
-    if baseline["is_male"] is None:
-        return {}
-    baseline_poverty = MicroSeries(
-        baseline["person_in_poverty"], weights=baseline["person_weight"]
-    )
-    baseline_deep_poverty = MicroSeries(
-        baseline["person_in_deep_poverty"], weights=baseline["person_weight"]
-    )
-    reform_poverty = MicroSeries(
-        reform["person_in_poverty"], weights=baseline_poverty.weights
-    )
-    reform_deep_poverty = MicroSeries(
-        reform["person_in_deep_poverty"], weights=baseline_poverty.weights
-    )
-    is_male = MicroSeries(baseline["is_male"])
-
-    poverty = dict(
-        male=dict(
-            baseline=float(baseline_poverty[is_male].mean()),
-            reform=float(reform_poverty[is_male].mean()),
-        ),
-        female=dict(
-            baseline=float(baseline_poverty[~is_male].mean()),
-            reform=float(reform_poverty[~is_male].mean()),
-        ),
-    )
-
-    deep_poverty = dict(
-        male=dict(
-            baseline=float(baseline_deep_poverty[is_male].mean()),
-            reform=float(reform_deep_poverty[is_male].mean()),
-        ),
-        female=dict(
-            baseline=float(baseline_deep_poverty[~is_male].mean()),
-            reform=float(reform_deep_poverty[~is_male].mean()),
-        ),
-    )
-
-    return dict(
-        poverty=poverty,
-        deep_poverty=deep_poverty,
-    )
-
-
-def poverty_racial_breakdown(baseline: dict, reform: dict) -> dict:
-    """
-    Compare the impact of a reform on poverty.
-
-    Args:
-        baseline (dict): The baseline economy.
-        reform (dict): The reform economy.
-
-    Returns:
-        dict: The impact of the reform on poverty.
-    """
-    if baseline["race"] is None:
-        return {}
-    baseline_poverty = MicroSeries(
-        baseline["person_in_poverty"], weights=baseline["person_weight"]
-    )
-    reform_poverty = MicroSeries(
-        reform["person_in_poverty"], weights=baseline_poverty.weights
-    )
-    race = MicroSeries(
-        baseline["race"]
-    )  # Can be WHITE, BLACK, HISPANIC, or OTHER.
-
-    poverty = dict(
-        white=dict(
-            baseline=float(baseline_poverty[race == "WHITE"].mean()),
-            reform=float(reform_poverty[race == "WHITE"].mean()),
-        ),
-        black=dict(
-            baseline=float(baseline_poverty[race == "BLACK"].mean()),
-            reform=float(reform_poverty[race == "BLACK"].mean()),
-        ),
-        hispanic=dict(
-            baseline=float(baseline_poverty[race == "HISPANIC"].mean()),
-            reform=float(reform_poverty[race == "HISPANIC"].mean()),
-        ),
-        other=dict(
-            baseline=float(baseline_poverty[race == "OTHER"].mean()),
-            reform=float(reform_poverty[race == "OTHER"].mean()),
-        ),
-    )
-
-    return dict(
-        poverty=poverty,
-    )
-
-
-def compare_economic_outputs(
-    baseline: dict, reform: dict, country_id: str = None
-) -> dict:
-    """
-    Compare the economic outputs of two economies.
-
-    Args:
-        baseline (dict): The baseline economy.
-        reform (dict): The reform economy.
-
-    Returns:
-        dict: The comparison of the two economies.
-    """
-    if baseline.get("type") == "general":
-        budgetary_impact_data = budgetary_impact(baseline, reform)  # done
-        detailed_budgetary_impact_data = detailed_budgetary_impact(  # done
-            baseline, reform, country_id
-        )
-        decile_impact_data = decile_impact(baseline, reform)  # done
-        inequality_impact_data = inequality_impact(baseline, reform)  # done
-        poverty_impact_data = poverty_impact(baseline, reform)
-        poverty_by_gender_data = poverty_gender_breakdown(baseline, reform)
-        poverty_by_race_data = poverty_racial_breakdown(baseline, reform)
-        intra_decile_impact_data = intra_decile_impact(
-            baseline, reform
-        )  # done
-        labor_supply_response_data = labor_supply_response(baseline, reform)
-        try:
-            wealth_decile_impact_data = wealth_decile_impact(
-                baseline, reform
-            )  # done
-            intra_wealth_decile_impact_data = intra_wealth_decile_impact(
-                baseline, reform
-            )  # done
-        except:
-            wealth_decile_impact_data = {}
-            intra_wealth_decile_impact_data = {}
-
-        return dict(
-            budget=budgetary_impact_data,
-            detailed_budget=detailed_budgetary_impact_data,
-            decile=decile_impact_data,
-            inequality=inequality_impact_data,
-            poverty=poverty_impact_data,
-            poverty_by_gender=poverty_by_gender_data,
-            poverty_by_race=poverty_by_race_data,
-            intra_decile=intra_decile_impact_data,
-            wealth_decile=wealth_decile_impact_data,
-            intra_wealth_decile=intra_wealth_decile_impact_data,
-            labor_supply_response=labor_supply_response_data,
-        )
-    elif baseline.get("type") == "cliff":
-        return dict(
-            baseline=dict(
-                cliff_gap=baseline["cliff_gap"],
-                cliff_share=baseline["cliff_share"],
-            ),
-            reform=dict(
-                cliff_gap=reform["cliff_gap"],
-                cliff_share=reform["cliff_share"],
-            ),
-        )
diff --git a/policyengine/outputs/api_single.py b/policyengine/outputs/api_single.py
deleted file mode 100644
index 1ef4e7a9..00000000
--- a/policyengine/outputs/api_single.py
+++ /dev/null
@@ -1,365 +0,0 @@
-from policyengine_core.simulations import Microsimulation
-from typing import Dict
-
-from policyengine_us import Microsimulation
-from policyengine_uk import Microsimulation
-from dataclasses import dataclass
-
-
-@dataclass
-class UKProgram:
-    name: str
-    is_positive: bool
-
-
-class UKPrograms:
-    PROGRAMS = [
-        UKProgram("income_tax", True),
-        UKProgram("national_insurance", True),
-        UKProgram("vat", True),
-        UKProgram("council_tax", True),
-        UKProgram("fuel_duty", True),
-        UKProgram("tax_credits", False),
-        UKProgram("universal_credit", False),
-        UKProgram("child_benefit", False),
-        UKProgram("state_pension", False),
-        UKProgram("pension_credit", False),
-        UKProgram("ni_employer", True),
-    ]
-
-
-class GeneralEconomyTask:
-    def __init__(self, simulation: Microsimulation, country_id: str):
-        self.simulation = simulation
-        self.country_id = country_id
-        self.household_count_people = self.simulation.calculate(
-            "household_count_people"
-        )
-
-    def calculate_tax_and_spending(self):
-        if self.country_id == "uk":
-            total_tax = self.simulation.calculate("gov_tax").sum()
-            total_spending = self.simulation.calculate("gov_spending").sum()
-        else:
-            total_tax = self.simulation.calculate("household_tax").sum()
-            total_spending = self.simulation.calculate(
-                "household_benefits"
-            ).sum()
-        return total_tax, total_spending
-
-    def calculate_inequality_metrics(self):
-        personal_hh_equiv_income = self._get_weighted_household_income()
-
-        try:
-            gini = personal_hh_equiv_income.gini()
-        except Exception as e:
-            print(
-                "WARNING: Gini index calculations resulted in an error: returning no change, but this is inaccurate."
-            )
-            print("Error: ", e)
-            gini = 0.4
-
-        in_top_10_pct = personal_hh_equiv_income.decile_rank() == 10
-        in_top_1_pct = personal_hh_equiv_income.percentile_rank() == 100
-
-        personal_hh_equiv_income.weights /= self.household_count_people
-
-        top_10_share = (
-            personal_hh_equiv_income[in_top_10_pct].sum()
-            / personal_hh_equiv_income.sum()
-        )
-        top_1_share = (
-            personal_hh_equiv_income[in_top_1_pct].sum()
-            / personal_hh_equiv_income.sum()
-        )
-
-        return gini, top_10_share, top_1_share
-
-    def _get_weighted_household_income(self):
-        income = self.simulation.calculate("equiv_household_net_income")
-        income[income < 0] = 0
-        income.weights *= self.household_count_people
-        return income
-
-    def calculate_income_breakdown_metrics(self):
-        total_net_income = self.simulation.calculate(
-            "household_net_income"
-        ).sum()
-        employment_income_hh = (
-            self.simulation.calculate("employment_income", map_to="household")
-            .astype(float)
-            .tolist()
-        )
-        self_employment_income_hh = (
-            self.simulation.calculate(
-                "self_employment_income", map_to="household"
-            )
-            .astype(float)
-            .tolist()
-        )
-
-        return (
-            total_net_income,
-            employment_income_hh,
-            self_employment_income_hh,
-        )
-
-    def calculate_household_income_metrics(self):
-        household_net_income = (
-            self.simulation.calculate("household_net_income")
-            .astype(float)
-            .tolist()
-        )
-        equiv_household_net_income = (
-            self.simulation.calculate("equiv_household_net_income")
-            .astype(float)
-            .tolist()
-        )
-        household_income_decile = (
-            self.simulation.calculate("household_income_decile")
-            .astype(int)
-            .tolist()
-        )
-        household_market_income = (
-            self.simulation.calculate("household_market_income")
-            .astype(float)
-            .tolist()
-        )
-
-        return (
-            household_net_income,
-            equiv_household_net_income,
-            household_income_decile,
-            household_market_income,
-        )
-
-    def calculate_wealth_metrics(self):
-        try:
-            wealth = self.simulation.calculate("total_wealth")
-            wealth.weights *= self.household_count_people
-            wealth_decile = (
-                wealth.decile_rank().clip(1, 10).astype(int).tolist()
-            )
-            wealth = wealth.astype(float).tolist()
-        except Exception as e:
-            wealth = None
-            wealth_decile = None
-        return wealth, wealth_decile
-
-    def calculate_demographic_metrics(self):
-        try:
-            is_male = (
-                self.simulation.calculate("is_male").astype(bool).tolist()
-            )
-        except Exception:
-            is_male = None
-
-        try:
-            race = self.simulation.calculate("race").astype(str).tolist()
-        except Exception:
-            race = None
-
-        age = self.simulation.calculate("age").astype(int).tolist()
-
-        return is_male, race, age
-
-    def calculate_poverty_metrics(self):
-        in_poverty = (
-            self.simulation.calculate("in_poverty").astype(bool).tolist()
-        )
-        person_in_poverty = (
-            self.simulation.calculate("in_poverty", map_to="person")
-            .astype(bool)
-            .tolist()
-        )
-        person_in_deep_poverty = (
-            self.simulation.calculate("in_deep_poverty", map_to="person")
-            .astype(bool)
-            .tolist()
-        )
-        poverty_gap = self.simulation.calculate("poverty_gap").sum()
-        deep_poverty_gap = self.simulation.calculate("deep_poverty_gap").sum()
-        return (
-            in_poverty,
-            person_in_poverty,
-            person_in_deep_poverty,
-            poverty_gap,
-            deep_poverty_gap,
-        )
-
-    def calculate_weights(self):
-        person_weight = (
-            self.simulation.calculate("person_weight").astype(float).tolist()
-        )
-        household_weight = (
-            self.simulation.calculate("household_weight")
-            .astype(float)
-            .tolist()
-        )
-
-        return person_weight, household_weight
-
-    def calculate_labor_supply_responses(self):
-        result = {
-            "substitution_lsr": 0,
-            "income_lsr": 0,
-            "budgetary_impact_lsr": 0,
-            "income_lsr_hh": (self.household_count_people * 0)
-            .astype(float)
-            .tolist(),
-            "substitution_lsr_hh": (self.household_count_people * 0)
-            .astype(float)
-            .tolist(),
-        }
-
-        if not self._has_behavioral_response():
-            return result
-
-        result.update(
-            {
-                "substitution_lsr": self.simulation.calculate(
-                    "substitution_elasticity_lsr"
-                ).sum(),
-                "income_lsr": self.simulation.calculate(
-                    "income_elasticity_lsr"
-                ).sum(),
-                "income_lsr_hh": self.simulation.calculate(
-                    "income_elasticity_lsr", map_to="household"
-                )
-                .astype(float)
-                .tolist(),
-                "substitution_lsr_hh": self.simulation.calculate(
-                    "substitution_elasticity_lsr", map_to="household"
-                )
-                .astype(float)
-                .tolist(),
-            }
-        )
-
-        return result
-
-    def _has_behavioral_response(self) -> bool:
-        return (
-            "employment_income_behavioral_response"
-            in self.simulation.tax_benefit_system.variables
-            and any(
-                self.simulation.calculate(
-                    "employment_income_behavioral_response"
-                )
-                != 0
-            )
-        )
-
-    def calculate_lsr_working_hours(self):
-        if self.country_id != "us":
-            return {
-                "weekly_hours": 0,
-                "weekly_hours_income_effect": 0,
-                "weekly_hours_substitution_effect": 0,
-            }
-
-        return {
-            "weekly_hours": self.simulation.calculate(
-                "weekly_hours_worked"
-            ).sum(),
-            "weekly_hours_income_effect": self.simulation.calculate(
-                "weekly_hours_worked_behavioural_response_income_elasticity"
-            ).sum(),
-            "weekly_hours_substitution_effect": self.simulation.calculate(
-                "weekly_hours_worked_behavioural_response_substitution_elasticity"
-            ).sum(),
-        }
-
-    def calculate_uk_programs(self) -> Dict[str, float]:
-        if self.country_id != "uk":
-            return {}
-
-        return {
-            program.name: self.simulation.calculate(
-                program.name, map_to="household"
-            ).sum()
-            * (1 if program.is_positive else -1)
-            for program in UKPrograms.PROGRAMS
-        }
-
-
-def compute_general_economy(simulation, country_id: str) -> Dict:
-    task_manager = GeneralEconomyTask(simulation, country_id)
-
-    total_tax, total_spending = task_manager.calculate_tax_and_spending()
-    gini, top_10_share, top_1_share = (
-        task_manager.calculate_inequality_metrics()
-    )
-    wealth, wealth_decile = task_manager.calculate_wealth_metrics()
-    is_male, race, age = task_manager.calculate_demographic_metrics()
-    labor_supply_responses = task_manager.calculate_labor_supply_responses()
-    lsr_working_hours = task_manager.calculate_lsr_working_hours()
-    (
-        in_poverty,
-        person_in_poverty,
-        person_in_deep_poverty,
-        poverty_gap,
-        deep_poverty_gap,
-    ) = task_manager.calculate_poverty_metrics()
-    total_net_income, employment_income_hh, self_employment_income_hh = (
-        task_manager.calculate_income_breakdown_metrics()
-    )
-    (
-        household_net_income,
-        equiv_household_net_income,
-        household_income_decile,
-        household_market_income,
-    ) = task_manager.calculate_household_income_metrics()
-    person_weight, household_weight = task_manager.calculate_weights()
-
-    if country_id == "uk":
-        uk_programs = task_manager.calculate_uk_programs()
-    else:
-        uk_programs = {}
-
-    total_state_tax = 0
-
-    if country_id == "us":
-        try:
-            total_state_tax = simulation.calculate(
-                "household_state_income_tax"
-            ).sum()
-        except:
-            total_state_tax = 0
-
-    result = {
-        "total_net_income": total_net_income,
-        "employment_income_hh": employment_income_hh,
-        "self_employment_income_hh": self_employment_income_hh,
-        "total_tax": total_tax,
-        "total_state_tax": total_state_tax,
-        "total_benefits": total_spending,
-        "household_net_income": household_net_income,
-        "equiv_household_net_income": equiv_household_net_income,
-        "household_income_decile": household_income_decile,
-        "household_market_income": household_market_income,
-        "household_wealth_decile": wealth_decile,
-        "household_wealth": wealth,
-        "in_poverty": in_poverty,
-        "person_in_poverty": person_in_poverty,
-        "person_in_deep_poverty": person_in_deep_poverty,
-        "poverty_gap": poverty_gap,
-        "deep_poverty_gap": deep_poverty_gap,
-        "person_weight": person_weight,
-        "household_weight": household_weight,
-        "household_count_people": task_manager.household_count_people.astype(
-            int
-        ).tolist(),
-        "gini": float(gini),
-        "top_10_percent_share": float(top_10_share),
-        "top_1_percent_share": float(top_1_share),
-        "is_male": is_male,
-        "race": race,
-        "age": age,
-        **labor_supply_responses,
-        **lsr_working_hours,
-        "type": "general",
-        "programs": uk_programs,
-    }
-
-    return result
diff --git a/policyengine/outputs/macro/comparison/calculate_economy_comparison.py b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
index 275fe899..c13d6407 100644
--- a/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
+++ b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
@@ -17,6 +17,10 @@
 )
 
 from .decile import calculate_decile_impacts, DecileImpacts
+from .labor_supply import (
+    calculate_labor_supply_impact,
+    LaborSupplyMetricImpact,
+)
 
 from typing import Literal, List
 
@@ -37,22 +41,36 @@ class InequalityComparison(BaseModel):
 
 class PovertyRateMetricComparison(BaseModel):
     age_group: Literal["child", "working_age", "senior", "all"]
+    """The age group of the population."""
     racial_group: Literal["white", "black", "hispanic", "other", "all"]
+    """The racial group of the population."""
     relative: bool
+    """Whether the poverty rate is relative to the total population, or a headcount."""
     poverty_rate: Literal[
         "uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half"
     ]
+    """The poverty rate definition being calculated."""
     baseline: float
+    """The poverty rate value in the baseline scenario."""
     reform: float
+    """The poverty rate value in the reform scenario."""
     change: float
+    """The change in the poverty rate value."""
     relative_change: float
+    """The relative change in the poverty rate value."""
 
 
 class EconomyComparison(BaseModel):
     fiscal: FiscalComparison
+    """Government budgets and other top-level fiscal statistics."""
     inequality: InequalityComparison
+    """Inequality statistics for the household sector."""
     distributional: DecileImpacts
+    """Distributional impacts of the reform."""
     poverty: List[PovertyRateMetricComparison]
+    """Poverty rates for different demographic groups and poverty definitions."""
+    labor_supply: List[LaborSupplyMetricImpact]
+    """Labor supply impacts for different demographic groups and labor supply metrics."""
 
 
 def calculate_economy_comparison(
@@ -119,9 +137,14 @@ def calculate_economy_comparison(
             )
         )
 
+    labor_supply_metrics = calculate_labor_supply_impact(
+        baseline, reform, options
+    )
+
     return EconomyComparison(
         fiscal=fiscal_comparison,
         inequality=inequality_comparison,
         distributional=decile_impacts,
         poverty=poverty_metrics,
+        labor_supply=labor_supply_metrics,
     )
diff --git a/policyengine/outputs/macro/comparison/labor_supply.py b/policyengine/outputs/macro/comparison/labor_supply.py
new file mode 100644
index 00000000..6f1b8126
--- /dev/null
+++ b/policyengine/outputs/macro/comparison/labor_supply.py
@@ -0,0 +1,119 @@
+import typing
+
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation, SimulationOptions
+
+from policyengine_core.simulations import Microsimulation
+
+from pydantic import BaseModel
+from typing import Literal, List
+import numpy as np
+
+
+class LaborSupplyMetricImpact(BaseModel):
+    elasticity: Literal["income", "substitution", "all"]
+    """Filter to the effects of a specific elasticity."""
+    decile: Literal[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, "all"]
+    """The income decile of the household, if filtering."""
+    unit: Literal["earnings", "hours"]
+    """The unit of the labor supply metric."""
+    baseline: float
+    """The labor supply metric value in the baseline scenario."""
+    reform: float
+    """The labor supply metric value in the reform scenario."""
+    change: float
+    """The change in the labor supply metric value."""
+    relative_change: float
+    """The relative change in the labor supply metric value."""
+
+
+def calculate_labor_supply_impact(
+    baseline: Microsimulation,
+    reformed: Microsimulation,
+    options: "SimulationOptions",
+) -> List[LaborSupplyMetricImpact]:
+    """Calculate labor supply impact statistics for a set of households."""
+    if not _has_behavioral_response(reformed):
+        return []
+
+    lsr_metrics = []
+    for elasticity in ["income", "substitution", "all"]:
+        for decile in [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, "all"]:
+            for unit in ["earnings", "hours"]:
+                if options.country != "us" and unit == "hours":
+                    # Hours not yet supported for the UK.
+                    continue
+                lsr_metrics.append(
+                    calculate_specific_lsr_metric(
+                        baseline,
+                        reformed,
+                        elasticity,
+                        decile,
+                        unit,
+                    )
+                )
+
+
+def calculate_specific_lsr_metric(
+    baseline: Microsimulation,
+    reformed: Microsimulation,
+    elasticity: Literal["income", "substitution", "all"],
+    decile: Literal[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, "all"],
+    unit: Literal["earnings", "hours"],
+) -> LaborSupplyMetricImpact:
+    """Calculate a specific labor supply metric for a set of households."""
+
+    if unit == "earnings":
+        baseline_variable = "employment_income"
+        if elasticity == "income":
+            variable = "income_elasticity_lsr"
+        elif elasticity == "substitution":
+            variable = "substitution_elasticity_lsr"
+        else:
+            variable = "employment_income_behavioral_response"
+    else:
+        baseline_variable = "weekly_hours_worked"
+        if elasticity == "income":
+            variable = (
+                "weekly_hours_worked_behavioural_response_income_elasticity"
+            )
+        elif elasticity == "substitution":
+            variable = "weekly_hours_worked_behavioural_response_substitution_elasticity"
+        else:
+            variable = "weekly_hours_worked"
+
+    baseline_values = baseline.calculate(baseline_variable)
+    reform_values = reformed.calculate(baseline_variable) + reformed.calculate(
+        variable
+    )
+
+    if decile == "all":
+        in_decile = np.ones_like(baseline_values, dtype=bool)
+    else:
+        in_decile = reformed.calculate("household_income_decile") == decile
+
+    baseline_total = (baseline_values * in_decile).sum()
+    reform_total = (reform_values * in_decile).sum()
+    change = reform_total - baseline_total
+    relative_change = change / baseline_total
+
+    return LaborSupplyMetricImpact(
+        elasticity=elasticity,
+        decile=decile,
+        unit=unit,
+        baseline=baseline_total,
+        reform=reform_total,
+        change=change,
+        relative_change=relative_change,
+    )
+
+
+def _has_behavioral_response(simulation: Microsimulation) -> bool:
+    """Check if the simulation has a behavioral response to labor supply."""
+    return (
+        "employment_income_behavioral_response"
+        in simulation.tax_benefit_system.variables
+        and any(
+            simulation.calculate("employment_income_behavioral_response") != 0
+        )
+    )
diff --git a/policyengine/outputs/macro/single/calculate_single_economy.py b/policyengine/outputs/macro/single/calculate_single_economy.py
index 9a117e03..ab70dde5 100644
--- a/policyengine/outputs/macro/single/calculate_single_economy.py
+++ b/policyengine/outputs/macro/single/calculate_single_economy.py
@@ -15,8 +15,11 @@
 
 class SingleEconomy(BaseModel):
     fiscal: FiscalSummary
+    """Government budgets and other top-level fiscal statistics."""
     inequality: InequalitySummary
+    """Inequality statistics for the household sector."""
     poverty: List[PovertyRateMetric]
+    """Poverty rates for different demographic groups and poverty definitions."""
 
 
 def calculate_single_economy(
diff --git a/policyengine/outputs/macro/single/poverty.py b/policyengine/outputs/macro/single/poverty.py
index 6c710cb7..91aa8639 100644
--- a/policyengine/outputs/macro/single/poverty.py
+++ b/policyengine/outputs/macro/single/poverty.py
@@ -12,12 +12,17 @@
 
 class PovertyRateMetric(BaseModel):
     age_group: Literal["child", "working_age", "senior", "all"]
+    """The age group of the population."""
     racial_group: Literal["white", "black", "hispanic", "other", "all"]
+    """The racial group of the population."""
     relative: bool
+    """Whether the poverty rate is relative to the total population, or a headcount."""
     poverty_rate: Literal[
         "uk_hbai_bhc", "uk_hbai_bhc_half", "us_spm", "us_spm_half"
     ]
+    """The poverty rate definition being calculated."""
     value: float
+    """The poverty rate value."""
 
 
 AGE_BOUNDS = {

From 09ddb5ffd8c2761def8f75103ce58e0fa41c362e Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 17:25:04 +1100
Subject: [PATCH 22/32] Add basic household outputs

---
 .../calculate_household_comparison.py         | 38 +++++++++++++++++++
 .../single/calculate_single_household.py      | 34 +++++++++++++++++
 .../macro/single/calculate_single_economy.py  |  2 +
 policyengine/simulation.py                    | 20 +++++++++-
 4 files changed, 93 insertions(+), 1 deletion(-)
 create mode 100644 policyengine/outputs/household/comparison/calculate_household_comparison.py
 create mode 100644 policyengine/outputs/household/single/calculate_single_household.py

diff --git a/policyengine/outputs/household/comparison/calculate_household_comparison.py b/policyengine/outputs/household/comparison/calculate_household_comparison.py
new file mode 100644
index 00000000..cf5580d0
--- /dev/null
+++ b/policyengine/outputs/household/comparison/calculate_household_comparison.py
@@ -0,0 +1,38 @@
+"""Calculate comparison statistics between two economic scenarios."""
+
+import typing
+
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
+
+from pydantic import BaseModel
+from policyengine.utils.calculations import get_change
+from policyengine_core.simulations import Simulation as CountrySimulation
+from typing import Literal, List
+
+class HouseholdComparison(BaseModel):
+    household_net_income: float
+    """The net income of the household."""
+
+def calculate_net_income(
+    baseline: CountrySimulation,
+    reform: CountrySimulation,
+) -> float:
+    return reform.calculate("household_net_income").sum() - baseline.calculate("household_net_income").sum()
+
+
+def calculate_household_comparison(
+    simulation: "Simulation",
+) -> HouseholdComparison:
+    """Calculate comparison statistics between two household scenarios."""
+    if not simulation.is_comparison:
+        raise ValueError("Simulation must be a comparison simulation.")
+
+    baseline = simulation.baseline_simulation
+    reform = simulation.reform_simulation
+
+    net_income = calculate_net_income(baseline, reform)
+
+    return HouseholdComparison(
+        household_net_income=net_income,
+    )
diff --git a/policyengine/outputs/household/single/calculate_single_household.py b/policyengine/outputs/household/single/calculate_single_household.py
new file mode 100644
index 00000000..ad283b04
--- /dev/null
+++ b/policyengine/outputs/household/single/calculate_single_household.py
@@ -0,0 +1,34 @@
+"""Calculate comparison statistics between two economic scenarios."""
+
+import typing
+
+if typing.TYPE_CHECKING:
+    from policyengine import Simulation
+
+from pydantic import BaseModel
+from policyengine_core.simulations import Simulation as CountrySimulation
+from typing import List
+
+
+class SingleHousehold(BaseModel):
+    household_net_income: float
+    """The net income of the household."""
+
+def calculate_net_income(
+    simulation: CountrySimulation,
+) -> float:
+    return simulation.calculate("household_net_income").sum()
+
+
+def calculate_single_household(
+    simulation: "Simulation",
+) -> SingleHousehold:
+    """Calculate household statistics for a single household scenario."""
+    if simulation.is_comparison:
+        raise ValueError("This function is for single economy simulations only.")
+
+    net_income = calculate_net_income(simulation.baseline_simulation)
+
+    return SingleHousehold(
+        household_net_income=net_income,
+    )
diff --git a/policyengine/outputs/macro/single/calculate_single_economy.py b/policyengine/outputs/macro/single/calculate_single_economy.py
index ab70dde5..ee99f2c6 100644
--- a/policyengine/outputs/macro/single/calculate_single_economy.py
+++ b/policyengine/outputs/macro/single/calculate_single_economy.py
@@ -27,6 +27,8 @@ def calculate_single_economy(
 ) -> SingleEconomy:
     """Calculate economy statistics for a single economic scenario."""
     options = simulation.options
+    if simulation.is_comparison:
+        raise ValueError("This function is for single economy simulations only.")
 
     fiscal = calculate_government_balance(
         simulation.baseline_simulation, options
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index c977e8ec..2d39e005 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -33,9 +33,19 @@
     calculate_single_economy,
 )
 
+from .outputs.household.single.calculate_single_household import (
+    SingleHousehold,
+    calculate_single_household,
+)
+
+from .outputs.household.comparison.calculate_household_comparison import (
+    HouseholdComparison,
+    calculate_household_comparison,
+)
+
 CountryType = Literal["uk", "us"]
 ScopeType = Literal["household", "macro"]
-DataType = str | None
+DataType = str | dict | None # Needs stricter typing
 TimePeriodType = int
 ReformType = (
     ParametricReform | SimulationAdjustment | Type[StructuralReform] | None
@@ -304,3 +314,11 @@ def calculate_economy_comparison(self) -> EconomyComparison:
     def calculate_single_economy(self) -> SingleEconomy:
         """Calculate economy statistics for a single economic scenario."""
         return calculate_single_economy(self)
+    
+    def calculate_single_household(self) -> SingleHousehold:
+        """Calculate household statistics for a single household scenario."""
+        return calculate_single_household(self)
+    
+    def calculate_household_comparison(self) -> HouseholdComparison:
+        """Calculate comparison statistics between two household scenarios."""
+        return calculate_household_comparison(self)

From cf36e253572b008c50de353ea9348183da2b19c9 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 17:25:11 +1100
Subject: [PATCH 23/32] Format

---
 .../household/comparison/calculate_household_comparison.py | 7 ++++++-
 .../outputs/household/single/calculate_single_household.py | 5 ++++-
 .../outputs/macro/single/calculate_single_economy.py       | 4 +++-
 policyengine/simulation.py                                 | 6 +++---
 4 files changed, 16 insertions(+), 6 deletions(-)

diff --git a/policyengine/outputs/household/comparison/calculate_household_comparison.py b/policyengine/outputs/household/comparison/calculate_household_comparison.py
index cf5580d0..adf81963 100644
--- a/policyengine/outputs/household/comparison/calculate_household_comparison.py
+++ b/policyengine/outputs/household/comparison/calculate_household_comparison.py
@@ -10,15 +10,20 @@
 from policyengine_core.simulations import Simulation as CountrySimulation
 from typing import Literal, List
 
+
 class HouseholdComparison(BaseModel):
     household_net_income: float
     """The net income of the household."""
 
+
 def calculate_net_income(
     baseline: CountrySimulation,
     reform: CountrySimulation,
 ) -> float:
-    return reform.calculate("household_net_income").sum() - baseline.calculate("household_net_income").sum()
+    return (
+        reform.calculate("household_net_income").sum()
+        - baseline.calculate("household_net_income").sum()
+    )
 
 
 def calculate_household_comparison(
diff --git a/policyengine/outputs/household/single/calculate_single_household.py b/policyengine/outputs/household/single/calculate_single_household.py
index ad283b04..26631794 100644
--- a/policyengine/outputs/household/single/calculate_single_household.py
+++ b/policyengine/outputs/household/single/calculate_single_household.py
@@ -14,6 +14,7 @@ class SingleHousehold(BaseModel):
     household_net_income: float
     """The net income of the household."""
 
+
 def calculate_net_income(
     simulation: CountrySimulation,
 ) -> float:
@@ -25,7 +26,9 @@ def calculate_single_household(
 ) -> SingleHousehold:
     """Calculate household statistics for a single household scenario."""
     if simulation.is_comparison:
-        raise ValueError("This function is for single economy simulations only.")
+        raise ValueError(
+            "This function is for single economy simulations only."
+        )
 
     net_income = calculate_net_income(simulation.baseline_simulation)
 
diff --git a/policyengine/outputs/macro/single/calculate_single_economy.py b/policyengine/outputs/macro/single/calculate_single_economy.py
index ee99f2c6..12f88986 100644
--- a/policyengine/outputs/macro/single/calculate_single_economy.py
+++ b/policyengine/outputs/macro/single/calculate_single_economy.py
@@ -28,7 +28,9 @@ def calculate_single_economy(
     """Calculate economy statistics for a single economic scenario."""
     options = simulation.options
     if simulation.is_comparison:
-        raise ValueError("This function is for single economy simulations only.")
+        raise ValueError(
+            "This function is for single economy simulations only."
+        )
 
     fiscal = calculate_government_balance(
         simulation.baseline_simulation, options
diff --git a/policyengine/simulation.py b/policyengine/simulation.py
index 2d39e005..65f8bad9 100644
--- a/policyengine/simulation.py
+++ b/policyengine/simulation.py
@@ -45,7 +45,7 @@
 
 CountryType = Literal["uk", "us"]
 ScopeType = Literal["household", "macro"]
-DataType = str | dict | None # Needs stricter typing
+DataType = str | dict | None  # Needs stricter typing
 TimePeriodType = int
 ReformType = (
     ParametricReform | SimulationAdjustment | Type[StructuralReform] | None
@@ -314,11 +314,11 @@ def calculate_economy_comparison(self) -> EconomyComparison:
     def calculate_single_economy(self) -> SingleEconomy:
         """Calculate economy statistics for a single economic scenario."""
         return calculate_single_economy(self)
-    
+
     def calculate_single_household(self) -> SingleHousehold:
         """Calculate household statistics for a single household scenario."""
         return calculate_single_household(self)
-    
+
     def calculate_household_comparison(self) -> HouseholdComparison:
         """Calculate comparison statistics between two household scenarios."""
         return calculate_household_comparison(self)

From b04096049e4ba7f1fe20138cdde7d429c392c1d9 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 17:39:18 +1100
Subject: [PATCH 24/32] Update docs

---
 .gitignore                      |  2 +-
 docs/index.ipynb                | 81 +++++++++++++++++++++++++++++++++
 docs/index.md                   |  2 -
 docs/reference/simulation.ipynb | 74 ++++++++++++++++++++++++++++++
 4 files changed, 156 insertions(+), 3 deletions(-)
 create mode 100644 docs/index.ipynb
 delete mode 100644 docs/index.md
 create mode 100644 docs/reference/simulation.ipynb

diff --git a/.gitignore b/.gitignore
index f844ae2d..42030f64 100644
--- a/.gitignore
+++ b/.gitignore
@@ -161,4 +161,4 @@ cython_debug/
 
 *.ipynb
 
-old/
+!docs/**/*.ipynb
diff --git a/docs/index.ipynb b/docs/index.ipynb
new file mode 100644
index 00000000..74d4e9d7
--- /dev/null
+++ b/docs/index.ipynb
@@ -0,0 +1,81 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# PolicyEngine Python interface\n",
+    "\n",
+    "Welcome to the documentation for PolicyEngine, a Python package for analyzing tax-benefit policies and estimating their societal impacts.\n",
+    "\n",
+    "## Overview\n",
+    "\n",
+    "This package enables users to create and simulate different scenarios of specific or representative households in a country, under different tax-benefit rules or economic assumptions.\n",
+    "\n",
+    "We currently support the UK and the US.\n",
+    "\n",
+    "## Quick start\n",
+    "\n",
+    "To install the package, run:\n",
+    "\n",
+    "```bash\n",
+    "pip install policyengine\n",
+    "```\n",
+    "\n",
+    "Then, for example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "EconomyComparison(fiscal=FiscalComparison(baseline=FiscalSummary(tax_revenue=658911285719.5891, federal_tax=658911285719.5891, state_tax=0.0, government_spending=349760026840.3932, tax_benefit_programs={'income_tax': 333376287037.05945, 'national_insurance': 52985626776.773834, 'ni_employer': 126330649370.35953, 'vat': 211671832822.39133, 'council_tax': 49007055050.00724, 'fuel_duty': 26506672341.204205, 'tax_credits': -34929879.49872104, 'universal_credit': -73459549194.97665, 'child_benefit': -14311471487.935827, 'state_pension': -132795868621.44594, 'pension_credit': -6252358021.417119}, household_net_income=1566030461192.7288), reform=FiscalSummary(tax_revenue=637686731286.3723, federal_tax=637686731286.3723, state_tax=0.0, government_spending=349224353712.28815, tax_benefit_programs={'income_tax': 312151564998.6612, 'national_insurance': 52985626776.773834, 'ni_employer': 126330649370.35953, 'vat': 211671832822.39133, 'council_tax': 49007055050.00724, 'fuel_duty': 26506672341.204205, 'tax_credits': -34929879.49872104, 'universal_credit': -73099552696.20555, 'child_benefit': -14311471487.935827, 'state_pension': -132795868621.44594, 'pension_credit': -6181432287.167828}, household_net_income=1586719205744.2463), change=FiscalSummary(tax_revenue=-21224554433.216797, federal_tax=-21224554433.216797, state_tax=0.0, government_spending=-535673128.1050415, tax_benefit_programs={'income_tax': -21224722038.398254, 'national_insurance': 0.0, 'ni_employer': 0.0, 'vat': 0.0, 'council_tax': 0.0, 'fuel_duty': 0.0, 'tax_credits': 0.0, 'universal_credit': 359996498.7711029, 'child_benefit': 0.0, 'state_pension': 0.0, 'pension_credit': 70925734.24929142}, household_net_income=20688744551.51758), relative_change=FiscalSummary(tax_revenue=-0.03221155092227281, federal_tax=-0.03221155092227281, state_tax=0.0, government_spending=-0.0015315447363843167, tax_benefit_programs={'income_tax': -0.06366596204858095, 'national_insurance': 0.0, 'ni_employer': 0.0, 'vat': 0.0, 'council_tax': 0.0, 'fuel_duty': 0.0, 'tax_credits': -0.0, 'universal_credit': -0.004900608603186478, 'child_benefit': -0.0, 'state_pension': -0.0, 'pension_credit': -0.01134383763795021}, household_net_income=0.013210946443379206)), inequality=InequalityComparison(baseline=InequalitySummary(gini=0.36255338125570424, top_10_share=0.3260922885079385, top_1_share=0.1314559726417293), reform=InequalitySummary(gini=0.3621067195625373, top_10_share=0.3247068529020242, top_1_share=0.13003247918783417), change=InequalitySummary(gini=-0.0004466616931669276, top_10_share=-0.0013854356059142536, top_1_share=-0.0014234934538951416), relative_change=InequalitySummary(gini=-0.001231988767060768, top_10_share=-0.004248599720813472, top_1_share=-0.010828670811137177)), distributional=DecileImpacts(income=IncomeMeasureSpecificDecileImpacts(income_change=IncomeMeasureSpecificDecileIncomeChange(relative={1: 0.006888347426579352, 2: 0.01207019625644219, 3: 0.013627468842833087, 4: 0.016100481654779814, 5: 0.013748247907171681, 6: 0.01686883037766935, 7: 0.01753355131276628, 8: 0.016653942719361867, 9: 0.01676805576642017, 10: 0.007412181202749425}, average={1: 104.97431830321577, 2: 345.37333460917273, 3: 505.9344918602069, 4: 693.5160756480564, 5: 633.0329182433123, 6: 916.7939753239693, 7: 1160.9595929383368, 8: 1339.97187253835, 9: 1645.9437072259466, 10: 1555.8434910392261}), winners_and_losers=IncomeMeasureSpecificDecileWinnersLosers(deciles={1: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0001755859570557263, lose_share=0.0001682513537722099, no_change_share=0.7777594280562966, gain_share=0.22207232058993112, gain_less_than_5_percent_share=0.8921554326814847, gain_more_than_5_percent_share=0.1076689813614596), 2: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.008308201427960779, lose_share=0.008308201427960779, no_change_share=0.3296747315922954, gain_share=0.6620170669797438, gain_less_than_5_percent_share=0.8919232634243426, gain_more_than_5_percent_share=0.09976853514769665), 3: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0025640225401700836, lose_share=7.961082321261601e-05, no_change_share=0.24144297964047653, gain_share=0.7584774095363108, gain_less_than_5_percent_share=0.8374155175602881, gain_more_than_5_percent_share=0.1600204598995418), 4: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0, lose_share=0.0, no_change_share=0.12752277174703963, gain_share=0.8724772282529604, gain_less_than_5_percent_share=0.9665865451338477, gain_more_than_5_percent_share=0.03341345486615228), 5: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0, lose_share=0.0, no_change_share=0.03956658976737942, gain_share=0.9604334102326206, gain_less_than_5_percent_share=0.9972436631437993, gain_more_than_5_percent_share=0.0027563368562006983), 6: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=9.23312947542871e-08, lose_share=0.0, no_change_share=0.04739185313495122, gain_share=0.9526081468650488, gain_less_than_5_percent_share=0.950097303756789, gain_more_than_5_percent_share=0.04990260391191623), 7: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=5.104037721866914e-07, lose_share=5.104037721866914e-07, no_change_share=0.018556113733354175, gain_share=0.9814433758628737, gain_less_than_5_percent_share=0.9532747831120698, gain_more_than_5_percent_share=0.046724706484157955), 8: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0, lose_share=0.0, no_change_share=0.0078485273494483, gain_share=0.9921514726505517, gain_less_than_5_percent_share=0.9864864572885578, gain_more_than_5_percent_share=0.013513542711442263), 9: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=3.9720293329414453e-08, lose_share=0.0, no_change_share=0.015484773300234851, gain_share=0.9845152266997651, gain_less_than_5_percent_share=0.9942833742036897, gain_more_than_5_percent_share=0.00571658607601697), 10: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0, lose_share=0.0, no_change_share=0.09527409658848911, gain_share=0.9047259034115109, gain_less_than_5_percent_share=1.0, gain_more_than_5_percent_share=0.0)}, all=IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0010924738666159373, lose_share=0.0008384108829899095, no_change_share=0.16458777279036807, gain_share=0.8345738163266421, gain_less_than_5_percent_share=0.947301858492644, gain_more_than_5_percent_share=0.051605667640740344))), wealth=IncomeMeasureSpecificDecileImpacts(income_change=IncomeMeasureSpecificDecileIncomeChange(relative={1: 0.008709359540639157, 2: 0.00905578708175186, 3: 0.012492298883059996, 4: 0.01152604162555258, 5: 0.013211680341905644, 6: 0.015499276808714067, 7: 0.015075628657318645, 8: 0.013872537910746014, 9: 0.014863082577873714, 10: 0.013423194473756452}, average={1: 369.702952145763, 2: 348.23782779938443, 3: 552.8656647582718, 4: 568.6862981673706, 5: 788.7199254212952, 6: 1082.0251273410129, 7: 995.5414649462065, 8: 980.0256472731063, 9: 1104.9136440223838, 10: 1148.3564641697874}), winners_and_losers=IncomeMeasureSpecificDecileWinnersLosers(deciles={1: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=2.6883274101429057e-05, lose_share=2.6883274101429057e-05, no_change_share=0.4508804429091072, gain_share=0.5490926738167914, gain_less_than_5_percent_share=0.9848507184309168, gain_more_than_5_percent_share=0.015122398294981835), 2: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=3.6190041582250956e-08, lose_share=0.0, no_change_share=0.494450094962446, gain_share=0.505549905037554, gain_less_than_5_percent_share=0.9931537493063021, gain_more_than_5_percent_share=0.006846214503656335), 3: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0, lose_share=0.0, no_change_share=0.02404055636315165, gain_share=0.9759594436368484, gain_less_than_5_percent_share=0.9891467785172058, gain_more_than_5_percent_share=0.010853221482794195), 4: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0021384901223377517, lose_share=8.272884193213454e-07, no_change_share=0.36369619644130957, gain_share=0.6363029762702711, gain_less_than_5_percent_share=0.9597482462129343, gain_more_than_5_percent_share=0.038113263664727975), 5: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0002447588006939626, lose_share=0.00024460254119754784, no_change_share=0.16613074345434808, gain_share=0.8336246540044544, gain_less_than_5_percent_share=0.9833489364919241, gain_more_than_5_percent_share=0.01640630470738194), 6: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0, lose_share=0.0, no_change_share=0.025790631489697343, gain_share=0.9742093685103027, gain_less_than_5_percent_share=0.9861761877807416, gain_more_than_5_percent_share=0.013823812219258384), 7: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.00020866319896562508, lose_share=4.163438722119544e-05, no_change_share=0.08407934672412146, gain_share=0.9158790188886573, gain_less_than_5_percent_share=0.9021123857304735, gain_more_than_5_percent_share=0.09767895107056095), 8: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0, lose_share=0.0, no_change_share=0.056524409525954916, gain_share=0.9434755904740451, gain_less_than_5_percent_share=0.9366881433479168, gain_more_than_5_percent_share=0.06331185665208312), 9: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.008053685714292545, lose_share=0.008053685714292545, no_change_share=0.027806404912023186, gain_share=0.9641399093736843, gain_less_than_5_percent_share=0.9371641387443307, gain_more_than_5_percent_share=0.05478217554137677), 10: IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=4.868756468537358e-08, lose_share=4.868756468537358e-08, no_change_share=0.06985295508301145, gain_share=0.9301469962294239, gain_less_than_5_percent_share=0.806768831589799, gain_more_than_5_percent_share=0.1932311197226364)}, all=IncomeMeasureSpecificDecileWinnersLosersGroupOutcomes(lose_more_than_5_percent_share=0.0, lose_less_than_5_percent_share=0.0010924738666159373, lose_share=0.0008384108829899095, no_change_share=0.16458777279036807, gain_share=0.8345738163266421, gain_less_than_5_percent_share=0.947301858492644, gain_more_than_5_percent_share=0.051605667640740344)))), poverty=[PovertyRateMetricComparison(age_group='child', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc', baseline=0.0866740345954895, reform=0.08660321682691574, change=-7.081776857376099e-05, relative_change=-0.0008170586370447596), PovertyRateMetricComparison(age_group='child', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc_half', baseline=0.005887233652174473, reform=0.005886665545403957, change=-5.681067705154419e-07, relative_change=-9.649808451302242e-05), PovertyRateMetricComparison(age_group='child', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc', baseline=1636588.5, reform=1635251.25, change=-1337.25, relative_change=-0.0008170960507176972), PovertyRateMetricComparison(age_group='child', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc_half', baseline=111163.3828125, reform=111152.65625, change=-10.7265625, relative_change=-9.649366750643566e-05), PovertyRateMetricComparison(age_group='working_age', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc', baseline=0.08067396283149719, reform=0.07947173714637756, change=-0.001202225685119629, relative_change=-0.014902276309776728), PovertyRateMetricComparison(age_group='working_age', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc_half', baseline=0.020408159121870995, reform=0.020407630130648613, change=-5.289912223815918e-07, relative_change=-2.5920575159308858e-05), PovertyRateMetricComparison(age_group='working_age', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc', baseline=3613979.5, reform=3560123.0, change=-53856.5, relative_change=-0.014902270474970874), PovertyRateMetricComparison(age_group='working_age', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc_half', baseline=914231.375, reform=914207.75, change=-23.625, relative_change=-2.584137959605685e-05), PovertyRateMetricComparison(age_group='senior', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc', baseline=0.033274661749601364, reform=0.03287290409207344, change=-0.0004017576575279236, relative_change=-0.012073981714712297), PovertyRateMetricComparison(age_group='senior', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc_half', baseline=0.0007299797143787146, reform=0.0007292248192243278, change=-7.548951543867588e-07, relative_change=-0.0010341316882062261), PovertyRateMetricComparison(age_group='senior', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc', baseline=436230.6875, reform=430963.625, change=-5267.0625, relative_change=-0.01207403021136609), PovertyRateMetricComparison(age_group='senior', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc_half', baseline=9570.03125, reform=9560.134765625, change=-9.896484375, relative_change=-0.0010341120228839378), PovertyRateMetricComparison(age_group='all', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc', baseline=0.07405699789524078, reform=0.07326966524124146, change=-0.0007873326539993286, relative_change=-0.01063144167838224), PovertyRateMetricComparison(age_group='all', racial_group='all', relative=True, poverty_rate='uk_hbai_bhc_half', baseline=0.01347795594483614, reform=0.013477379456162453, change=-5.764886736869812e-07, relative_change=-4.277270797192756e-05), PovertyRateMetricComparison(age_group='all', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc', baseline=5686796.5, reform=5626338.0, change=-60458.5, relative_change=-0.010631380954110104), PovertyRateMetricComparison(age_group='all', racial_group='all', relative=False, poverty_rate='uk_hbai_bhc_half', baseline=1034964.875, reform=1034920.625, change=-44.25, relative_change=-4.27550741758265e-05)], labor_supply=[])"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from policyengine import Simulation\n",
+    "\n",
+    "sim = Simulation({\n",
+    "    \"scope\": \"macro\",\n",
+    "    \"country\": \"uk\",\n",
+    "    \"time_period\": 2025,\n",
+    "    \"reform\": {\n",
+    "        \"gov.hmrc.income_tax.allowances.personal_allowance.amount\": 15000\n",
+    "    },\n",
+    "})\n",
+    "\n",
+    "sim.calculate_economy_comparison()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/index.md b/docs/index.md
deleted file mode 100644
index 080864a1..00000000
--- a/docs/index.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# PolicyEngine Python interface
-
diff --git a/docs/reference/simulation.ipynb b/docs/reference/simulation.ipynb
new file mode 100644
index 00000000..ee3c846a
--- /dev/null
+++ b/docs/reference/simulation.ipynb
@@ -0,0 +1,74 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Simulation\n",
+    "\n",
+    "The `Simulation` class is the core interface of this package. You can initialise it by passing in a dictionary that matches the `SimulationOptions` schema, and then use its `calculate` methods to ask it questions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "EconomyComparison(fiscal=FiscalComparison(baseline=FiscalSummary(tax_revenue=658911285719.5891, federal_tax=658911285719.5891, state_tax=0.0, government_spending=349760026840.3932, tax_benefit_programs={'income_tax': 333376287037.05945, 'national_insurance': 52985626776.773834, 'ni_employer': 126330649370.35953, 'vat': 211671832822.39133, 'council_tax': 49007055050.00724, 'fuel_duty': 26506672341.204205, 'tax_credits': -34929879.49872104, 'universal_credit': -73459549194.97665, 'child_benefit': -14311471487.935827, 'state_pension': -132795868621.44594, 'pension_credit': -6252358021.417119}, household_net_income=1566030461192.7288), reform=FiscalSummary(tax_revenue=658911285719.5891, federal_tax=658911285719.5891, state_tax=0.0, government_spending=349760026840.3932, tax_benefit_programs={'income_tax': 333376287037.05945, 'national_insurance': 52985626776.773834, 'ni_employer': 126330649370.35953, 'vat': 211671832822.39133, 'council_tax': 49007055050.00724, 'fuel_duty': 26506672341.204205, 'tax_credits': -34929879.49872104, 'universal_credit': -73459549194.97665, 'child_benefit': -14311471487.935827, 'state_pension': -132795868621.44594, 'pension_credit': -6252358021.417119}, household_net_income=1566030461192.7288), change=FiscalSummary(tax_revenue=0.0, federal_tax=0.0, state_tax=0.0, government_spending=0.0, tax_benefit_programs={'income_tax': 0.0, 'national_insurance': 0.0, 'ni_employer': 0.0, 'vat': 0.0, 'council_tax': 0.0, 'fuel_duty': 0.0, 'tax_credits': 0.0, 'universal_credit': 0.0, 'child_benefit': 0.0, 'state_pension': 0.0, 'pension_credit': 0.0}, household_net_income=0.0)), inequality=InequalitySummary(gini=0.0, top_10_share=0.0, top_1_share=0.0))"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from policyengine import Simulation\n",
+    "\n",
+    "sim = Simulation({\n",
+    "    \"country\": \"uk\",\n",
+    "    \"scope\": \"macro\",\n",
+    "    \"reform\": {},\n",
+    "    \"time_period\": 2025,\n",
+    "})\n",
+    "\n",
+    "sim.calculate_economy_comparison()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Module documentation\n",
+    "\n",
+    "```{eval-rst}\n",
+    ".. automodule:: policyengine.simulation\n",
+    "    :members:\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 4db06738df69addf72c182c27b5a09eeca732556 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 17:44:51 +1100
Subject: [PATCH 25/32] Add tests

---
 tests/country/test_uk.py | 27 +++++++++++++++++++++++++++
 tests/country/test_us.py | 25 +++++++++++++++++++++++++
 tests/test_package.py    |  4 ++--
 3 files changed, 54 insertions(+), 2 deletions(-)
 create mode 100644 tests/country/test_uk.py
 create mode 100644 tests/country/test_us.py

diff --git a/tests/country/test_uk.py b/tests/country/test_uk.py
new file mode 100644
index 00000000..27a1022d
--- /dev/null
+++ b/tests/country/test_uk.py
@@ -0,0 +1,27 @@
+def test_uk_macro_single():
+    from policyengine import Simulation
+
+    sim = Simulation(
+        {
+            "scope": "macro",
+            "country": "uk",
+        }
+    )
+
+    sim.calculate_single_economy()
+
+
+def test_uk_macro_comparison():
+    from policyengine import Simulation
+
+    sim = Simulation(
+        {
+            "scope": "macro",
+            "country": "uk",
+            "reform": {
+                "gov.hmrc.income_tax.allowances.personal_allowance.amount": 15_000,
+            },
+        }
+    )
+
+    sim.calculate_economy_comparison()
diff --git a/tests/country/test_us.py b/tests/country/test_us.py
new file mode 100644
index 00000000..54add4d5
--- /dev/null
+++ b/tests/country/test_us.py
@@ -0,0 +1,25 @@
+def test_us_macro_single():
+    from policyengine import Simulation
+
+    sim = Simulation(
+        {
+            "scope": "macro",
+            "country": "us",
+        }
+    )
+
+    sim.calculate_single_economy()
+
+
+def test_us_macro_comparison():
+    from policyengine import Simulation
+
+    sim = Simulation(
+        {
+            "scope": "macro",
+            "country": "us",
+            "reform": {},
+        }
+    )
+
+    sim.calculate_economy_comparison()
diff --git a/tests/test_package.py b/tests/test_package.py
index eb706cfd..60c2ab07 100644
--- a/tests/test_package.py
+++ b/tests/test_package.py
@@ -1,2 +1,2 @@
-def test_this():
-    assert True
+def test_package_imports():
+    from policyengine import Simulation

From f3939752d538b20fe9bc4774c22ebd53f7ecafc5 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 17:47:52 +1100
Subject: [PATCH 26/32] Fix bug identified by tests

---
 policyengine/outputs/macro/single/budget.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/policyengine/outputs/macro/single/budget.py b/policyengine/outputs/macro/single/budget.py
index 2a3d78c3..c349c364 100644
--- a/policyengine/outputs/macro/single/budget.py
+++ b/policyengine/outputs/macro/single/budget.py
@@ -50,10 +50,10 @@ def calculate_government_balance(
     options: "SimulationOptions",
 ) -> FiscalSummary:
     """Calculate government balance metrics for a set of households."""
+    tb_programs = {}
     if options.country == "uk":
         total_tax = simulation.calculate("gov_tax").sum()
         total_spending = simulation.calculate("gov_spending").sum()
-        tb_programs = {}
         for program in UK_PROGRAMS:
             tb_programs[program.name] = simulation.calculate(
                 program.name

From 0a788d9922c1a01c79c201d90bf79893156d3e93 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 17:48:15 +1100
Subject: [PATCH 27/32] Add dep

---
 pyproject.toml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pyproject.toml b/pyproject.toml
index 8bf5a0e2..02144b35 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,6 +18,7 @@ dependencies = [
     "policyengine-us",
     "microdf_python",
     "getpass4",
+    "pydantic",
 ]
 
 [project.optional-dependencies]

From 6e337dbefa5dad04913501ae1f6f3ee12f239f80 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 17:51:46 +1100
Subject: [PATCH 28/32] Use UV

---
 .github/workflows/code_changes.yaml | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/code_changes.yaml b/.github/workflows/code_changes.yaml
index 608b74ae..edc216d0 100644
--- a/.github/workflows/code_changes.yaml
+++ b/.github/workflows/code_changes.yaml
@@ -24,6 +24,8 @@ jobs:
       steps:
           - name: Checkout repo
             uses: actions/checkout@v2
+          - name: Install uv
+            uses: astral-sh/setup-uv@v5
 
           - name: Set up Python
             uses: actions/setup-python@v2
@@ -31,7 +33,7 @@ jobs:
                 python-version: '3.10'
               
           - name: Install package
-            run: make install
+            run: uv pip install .[dev]
           
           - name: Run tests
             run: make test
\ No newline at end of file

From ab164843952f64bf63fac0f304514270b7ac7f6a Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 17:52:26 +1100
Subject: [PATCH 29/32] Add system flag

---
 .github/workflows/code_changes.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/code_changes.yaml b/.github/workflows/code_changes.yaml
index edc216d0..480b54cb 100644
--- a/.github/workflows/code_changes.yaml
+++ b/.github/workflows/code_changes.yaml
@@ -33,7 +33,7 @@ jobs:
                 python-version: '3.10'
               
           - name: Install package
-            run: uv pip install .[dev]
+            run: uv pip install .[dev] --system
           
           - name: Run tests
             run: make test
\ No newline at end of file

From bc2c09574071f97eb0920ca32b73252f0b79709d Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 17:56:37 +1100
Subject: [PATCH 30/32] Add secret ref

---
 .github/workflows/code_changes.yaml | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/code_changes.yaml b/.github/workflows/code_changes.yaml
index 480b54cb..acd4db3f 100644
--- a/.github/workflows/code_changes.yaml
+++ b/.github/workflows/code_changes.yaml
@@ -36,4 +36,6 @@ jobs:
             run: uv pip install .[dev] --system
           
           - name: Run tests
-            run: make test
\ No newline at end of file
+            run: make test
+            env:
+              HUGGING_FACE_TOKEN: ${{ secrets.HUGGING_FACE_TOKEN }}
\ No newline at end of file

From fb701734b594b129911837ae2be5380582699a80 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 18:09:20 +1100
Subject: [PATCH 31/32] Add zero-division check

---
 .../outputs/macro/comparison/calculate_economy_comparison.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/policyengine/outputs/macro/comparison/calculate_economy_comparison.py b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
index c13d6407..d2ddde59 100644
--- a/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
+++ b/policyengine/outputs/macro/comparison/calculate_economy_comparison.py
@@ -123,7 +123,10 @@ def calculate_economy_comparison(
         baseline_poverty_metrics, reform_poverty_metrics
     ):
         change = reform_metric.value - baseline_metric.value
-        rel_change = change / baseline_metric.value
+        if baseline_metric.value == 0:
+            rel_change = 0
+        else:
+            rel_change = change / baseline_metric.value
         poverty_metrics.append(
             PovertyRateMetricComparison(
                 age_group=baseline_metric.age_group,

From 1ba4b702949749a6ceda1b862e1a9a7cf86a0bc0 Mon Sep 17 00:00:00 2001
From: Nikhil Woodruff <nikhil.woodruff@outlook.com>
Date: Tue, 28 Jan 2025 18:12:02 +1100
Subject: [PATCH 32/32] Add missing dep

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 02144b35..c3ae9885 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,7 +26,7 @@ dev = [
     "black",
     "pytest",
     "furo",
-    "sphinx-autoapi",
+    "autodoc_pydantic",
     "jupyter-book",
     "yaml-changelog>=0.1.7",
     "itables",