Skip to content

Fix copy and paste error in run.sh #40

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
mdales merged 2 commits into from
Nov 18, 2025
Merged

Fix copy and paste error in run.sh #40

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
e71ba17
Fix copy and paste error in run.sh
mdales Nov 18, 2025
72d4cac
Fix new mypy warning.
mdales Nov 18, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion scripts/run.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@ fi
declare -a SCENARIOS=(${SCENARIOS:-"arable" "restore" "restore_all" "urban" "pasture" "restore_agriculture"})
# shellcheck disable=SC2206
declare -a TAXAS=(${TAXAS:-"AMPHIBIA" "AVES" "MAMMALIA" "REPTILIA"})
export CURVE=${CURVE:-0.25}
export CURVE=${CURVE:0.25}
export PIXEL_SCALE=${PIXEL_SCALE:-0.016666666666667}

check_scenario() {
Expand Down
6 changes: 3 additions & 3 deletions usecases/query_deltap_batch.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -80,13 +80,13 @@ def query_deltap_per_project(
lng = project_mask.area.left + \
(project_mask.pixel_scale.xstep * x) + \
(project_mask.pixel_scale.xstep / 2)
row = [lat, lng]
result_row = [lat, lng]
if not maskval:
continue
for species in species_keys:
val = species_dict[species].read_array(x, y, 1, 1)[0][0]
row.append(val)
table.append(row)
result_row.append(val)
table.append(result_row)
df = pd.DataFrame(table, columns=["lat", "lng"] + species_keys)
df.to_csv(os.path.join(outputs_path, f"{project_code}_{klass}_{scenario}.csv"), index=False)

Expand Down