From d64fcc1192063c6e151fdff2276197d14b3d8f34 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Fri, 4 Jul 2025 20:04:08 +0200 Subject: [PATCH 01/18] modify get_cross_spectrum, remove related other --- pywk99/spectrum/__init__.py | 2 - pywk99/spectrum/_spectrum.py | 16 ++++++-- pywk99/spectrum/spectrum.py | 74 +++--------------------------------- 3 files changed, 18 insertions(+), 74 deletions(-) diff --git a/pywk99/spectrum/__init__.py b/pywk99/spectrum/__init__.py index f680acf..3ebdc6a 100644 --- a/pywk99/spectrum/__init__.py +++ b/pywk99/spectrum/__init__.py @@ -3,8 +3,6 @@ from pywk99.spectrum.spectrum import get_power_spectrum from pywk99.spectrum.spectrum import get_amplitude_spectrum from pywk99.spectrum.spectrum import get_cross_spectrum -from pywk99.spectrum.spectrum import get_co_spectrum -from pywk99.spectrum.spectrum import get_quadrature_spectrum from pywk99.spectrum.background import get_background_spectrum from pywk99.spectrum.plot import plot_spectrum from pywk99.spectrum.plot import plot_spectrum_peaks diff --git a/pywk99/spectrum/_spectrum.py b/pywk99/spectrum/_spectrum.py index 595e937..36907c3 100644 --- a/pywk99/spectrum/_spectrum.py +++ b/pywk99/spectrum/_spectrum.py @@ -110,7 +110,7 @@ def get_spectrum(spc_quantity: str, ] number_of_spectrums = len(wk_spectrums) wk_spectrum = (sum(wk_spectrums) / number_of_spectrums).sum("lat") - wk_spectrum = wk_spectrum[wk_spectrum.frequency > 0] + wk_spectrum = wk_spectrum.where(wk_spectrum.frequency > 0, drop=True) wk_spectrum = wk_spectrum.sortby(["frequency", "wavenumber"]) return wk_spectrum @@ -178,9 +178,17 @@ def _compute_hayashi_cross_spectrum(variables: xr.Dataset) -> xr.DataArray: n_time = len(variables.time) n_lon = len(variables.lon) varlist = list(variables.keys()) - variable1_fft = fourier_transform(variables[varlist[0]]) / (n_time * n_lon) - variable2_fft = fourier_transform(variables[varlist[1]]) / (n_time * n_lon) - cross_spectrum = variable1_fft * np.conj(variable2_fft) + variable1_name = varlist[0] + variable2_name = varlist[1] + variable1_fft = fourier_transform(variables[variable1_name]) + variable2_fft = fourier_transform(variables[variable2_name]) + spectrum_1 = np.abs(variable1_fft)**2 / (n_time * n_lon) + spectrum_2 = np.abs(variable2_fft)**2 / (n_time * n_lon) + cross_1_2 = variable1_fft * np.conj(variable2_fft) / (n_time * n_lon) + spectrum_1.name = f"spectra1" + spectrum_2.name = f"spectra2" + cross_1_2.name = f"cross" + cross_spectrum = xr.merge([spectrum_1, spectrum_2, cross_1_2]) return cross_spectrum diff --git a/pywk99/spectrum/spectrum.py b/pywk99/spectrum/spectrum.py index 5228455..5756619 100644 --- a/pywk99/spectrum/spectrum.py +++ b/pywk99/spectrum/spectrum.py @@ -98,7 +98,7 @@ def get_cross_spectrum( See pywk99.spectrum.get_spectrum for argument documentation. """ - cross_spectrum = get_spectrum( + spectrum = get_spectrum( "cross", variable, component_type, @@ -111,72 +111,10 @@ def get_cross_spectrum( grid_type, grid_dict ) + coh2 = np.abs(spectrum.cross)**2 / np.real(spectrum.spectra1) / np.real(spectrum.spectra2) + angle = xr.apply_ufunc(np.angle, spectrum.cross) + coh2.name = "coherence_squared" + angle.name = "phase" + cross_spectrum = xr.merge([spectrum, coh2, angle]) return cross_spectrum - -def get_co_spectrum( - variable: xr.Dataset, - component_type: str, - data_frequency: Optional[str] = None, - window_length: str = "96D", - overlap_length: str = "60D", - season: Optional[str] = None, - min_periods_season: Optional[int] = None, - taper_alpha: Optional[float] = 0.5, - grid_type: str = "latlon", - grid_dict: Optional[dict] = None, -) -> xr.DataArray: - """ - Get the Wheeler and Kiladis 1999 co-spectrum of two variables. - - See pywk99.spectrum.get_spectrum for argument documentation. - """ - cross_spectrum = get_spectrum( - "cross", - variable, - component_type, - data_frequency, - window_length, - overlap_length, - season, - min_periods_season, - taper_alpha, - grid_type, - grid_dict - ) - co_spectrum = np.real(cross_spectrum) - return co_spectrum - - -def get_quadrature_spectrum( - variable: xr.Dataset, - component_type: str, - data_frequency: Optional[str] = None, - window_length: str = "96D", - overlap_length: str = "60D", - season: Optional[str] = None, - min_periods_season: Optional[int] = None, - taper_alpha: Optional[float] = 0.5, - grid_type: str = "latlon", - grid_dict: Optional[dict] = None, -) -> xr.DataArray: - """ - Get the Wheeler and Kiladis 1999 quadrature-spectrum of two variables. - - See pywk99.spectrum.get_spectrum for argument documentation. - """ - cross_spectrum = get_spectrum( - "cross", - variable, - component_type, - data_frequency, - window_length, - overlap_length, - season, - min_periods_season, - taper_alpha, - grid_type, - grid_dict - ) - quadrature_spectrum = np.imag(cross_spectrum) - return quadrature_spectrum From 5de889607b5d8fef8d697b70235c069b9a9dfaf6 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Tue, 8 Jul 2025 10:08:41 +0200 Subject: [PATCH 02/18] adding coherence example --- examples/wk99_cross_spectra.ipynb | 134 ++++++++++++++++++++++++++++++ 1 file changed, 134 insertions(+) create mode 100644 examples/wk99_cross_spectra.ipynb diff --git a/examples/wk99_cross_spectra.ipynb b/examples/wk99_cross_spectra.ipynb new file mode 100644 index 0000000..3140e6b --- /dev/null +++ b/examples/wk99_cross_spectra.ipynb @@ -0,0 +1,134 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Reproducing the results of Wheler and Kiladis 99" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import xarray as xr\n", + "from matplotlib import pyplot as plt\n", + "from pywk99.spectrum.spectrum import get_cross_spectrum\n", + "from pywk99.timeseries import remove_seasonal_cycle\n", + "from pywk99.timeseries import remove_linear_trend" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "# run data/download.ipynb to download the example data\n", + "slp = xr.open_mfdataset(\"data/slp.19*.nc\").slp.compute()\n", + "olr = xr.open_dataset(\"data/olr.2xdaily.1979-2022.nc\").sel(time=slice(\"1979\", \"1996\")).resample({\"time\": \"1D\"}).mean().olr.compute()\n", + "variables = xr.Dataset({\"olr\": olr, \"slp\": slp})\n", + "variables = variables.sortby(\"lat\")" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "variables_normalized = remove_linear_trend(variables)\n", + "variables_normalized = remove_seasonal_cycle(variables_normalized)" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [], + "source": [ + "COHERENCE_THRESHOLD = 0.05\n", + "window_length = \"92D\"\n", + "overlap_length = \"60D\"\n", + "data_frequency = \"1D\"\n", + "symmetric_spectrum = get_cross_spectrum(variables_normalized, \"symmetric\",\n", + " data_frequency, window_length,\n", + " overlap_length)\n", + "asymmetric_spectrum = get_cross_spectrum(variables_normalized, \"asymmetric\",\n", + " data_frequency, window_length,\n", + " overlap_length)" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "coh2 = symmetric_spectrum[\"coherence_squared\"]\n", + "coh2 = coh2.where(coh2 > COHERENCE_THRESHOLD, drop=True)\n", + "u = xr.apply_ufunc(np.real, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", + "v = xr.apply_ufunc(np.imag, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", + "u = u.where(coh2 > COHERENCE_THRESHOLD, drop=True)\n", + "v = v.where(coh2 > COHERENCE_THRESHOLD, drop=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from pywk99.spectrum.plot import plot_spectrum\n", + "from pywk99.waves import plot_dispersion_relations\n", + "\n", + "fig, ax = plt.subplots(1 , 1, figsize=(5, 4))\n", + "coh2.plot.contourf(ax=ax)\n", + "stride = 3\n", + "ax.quiver(u.wavenumber[::stride], \n", + " u.frequency[::stride], \n", + " u[::stride,::stride], \n", + " v[::stride,::stride],\n", + " angles=\"uv\", pivot='mid', units='x', width=0.15)\n", + "plot_dispersion_relations(\"symmetric\", ax, w_max=0.5)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pywk99", + "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": "3.13.5" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 0ee73d5f8ab4ba33226d2872f885247952a92a76 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Tue, 8 Jul 2025 16:20:58 +0200 Subject: [PATCH 03/18] rename example --- examples/cross_spectra.ipynb | 667 +++++++++++++++++++++++++++++++++++ 1 file changed, 667 insertions(+) create mode 100644 examples/cross_spectra.ipynb diff --git a/examples/cross_spectra.ipynb b/examples/cross_spectra.ipynb new file mode 100644 index 0000000..0826159 --- /dev/null +++ b/examples/cross_spectra.ipynb @@ -0,0 +1,667 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Reproducing the results of Wheler and Kiladis 99" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import xarray as xr\n", + "from matplotlib import pyplot as plt\n", + "from pywk99.spectrum.spectrum import get_cross_spectrum\n", + "from pywk99.timeseries import remove_seasonal_cycle\n", + "from pywk99.timeseries import remove_linear_trend\n", + "from pywk99.waves import plot_dispersion_relations" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'0.4.4_dev'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pywk99\n", + "pywk99.__version__" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# run data/download.ipynb to download the example data\n", + "slp = xr.open_mfdataset(\"data/slp.19*.nc\").slp.compute()\n", + "olr = xr.open_dataset(\"data/olr.2xdaily.1979-2022.nc\").sel(time=slice(\"1979\", \"1995\")).resample({\"time\": \"1D\"}).mean().olr.compute()\n", + "variables = xr.Dataset({\"olr\": olr, \"slp\": slp})\n", + "variables = variables.sortby(\"lat\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/m/m301047/repos/pywk99_mpimet/pywk99/timeseries/timeseries.py:34: UserWarning: Converting non-nanosecond precision timedelta values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.\n", + " data_time_span = data_time_span.astype(\"timedelta64[D]\")\n" + ] + } + ], + "source": [ + "variables_normalized = remove_linear_trend(variables)\n", + "variables_normalized = remove_seasonal_cycle(variables_normalized)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "window_length = \"92D\"\n", + "overlap_length = \"60D\"\n", + "data_frequency = \"1D\"\n", + "taper_alpha = 0.1\n", + "symmetric_spectrum = get_cross_spectrum(variables_normalized, \"symmetric\",\n", + " data_frequency, window_length,\n", + " overlap_length, taper_alpha=taper_alpha)\n", + "asymmetric_spectrum = get_cross_spectrum(variables_normalized, \"asymmetric\",\n", + " data_frequency, window_length,\n", + " overlap_length, taper_alpha=taper_alpha)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "  * wavenumber  (wavenumber) int64 -71 -70 -69 -68 -67 -66 ... 67 68 69 70 71 72\n",
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+       "    cross       (frequency, wavenumber) complex128 (-0.8578259401622805-25.07...\n",
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symmetric_spectrum[\"coherence_squared\"]\n", + "coh2 = coh2.where(coh2 > COHERENCE_THRESHOLD, drop=True)\n", + "u = xr.apply_ufunc(np.real, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", + "v = xr.apply_ufunc(np.imag, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", + "u = u.where(coh2 > COHERENCE_THRESHOLD, drop=True)\n", + "v = v.where(coh2 > COHERENCE_THRESHOLD, drop=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1 , 1, figsize=(5, 4))\n", + "np.sqrt(coh2).plot.contourf(ax=ax)\n", + "stride = 3\n", + "ax.quiver(u.wavenumber[::stride],\n", + " u.frequency[::stride],\n", + " u[::stride,::stride],\n", + " v[::stride,::stride],\n", + " angles=\"uv\", pivot='mid', units='x', width=0.15)\n", + "plot_dispersion_relations(\"symmetric\", ax, w_max=0.5)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "1 Python 3 (based on the module python3/2023.01)", + "language": "python", + "name": "python3_2023_01" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.10" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 8c13cdc54d0b1185fe432d820a61691c673dc495 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Tue, 8 Jul 2025 16:21:40 +0200 Subject: [PATCH 04/18] adding tests --- tests/test_spectrum_coh2.py | 35 +++++++++++++++++++++++++++++++++++ 1 file changed, 35 insertions(+) create mode 100644 tests/test_spectrum_coh2.py diff --git a/tests/test_spectrum_coh2.py b/tests/test_spectrum_coh2.py new file mode 100644 index 0000000..fb3a4f9 --- /dev/null +++ b/tests/test_spectrum_coh2.py @@ -0,0 +1,35 @@ +"""Test power spectrum for time-lon-lat fields.""" + +import numpy as np +import pytest +import xarray as xr + +from pywk99.spectrum.spectrum import get_cross_spectrum + + +@pytest.fixture +def variables(): + olr1 = xr.open_dataarray("tests/olr.test.nc").transpose( + "time", "lon", "lat" + ) + olr2 = olr1.copy() + variables = xr.Dataset({"olr1": olr1, "olr2": olr2}) + variables = variables.sortby(["lat"]) + return variables + + +@pytest.fixture(params=["symmetric", "asymmetric"]) +def cross_spectrum(variables, request): + component_type = request.param + cross_spectrum = get_cross_spectrum( + variables, component_type, window_length="30D", overlap_length="10D" + ) + return cross_spectrum + + +def test_cross_spectrum_coherence_is_one(cross_spectrum) -> None: + assert np.all(np.ravel(cross_spectrum.coh2.values) == pytest.approx(1.0)) + + +def test_cross_spectrum_angle_is_zero(cross_spectrum) -> None: + assert np.all(np.ravel(cross_spectrum.phase.values) == pytest.approx(0.0)) From c8a02882d9c88f8e081c236800f16d06f0d83abb Mon Sep 17 00:00:00 2001 From: sortega87 Date: Tue, 8 Jul 2025 16:21:56 +0200 Subject: [PATCH 05/18] update version --- pywk99/__init__.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/pywk99/__init__.py b/pywk99/__init__.py index 8acf24e..a8ce489 100644 --- a/pywk99/__init__.py +++ b/pywk99/__init__.py @@ -3,6 +3,10 @@ Changelog --------- +Jul 8, 2025: Version 0.4.4 + - Implementing the coherence and amplitude spectra. + - Fixing bugs in the cross spectra. + Apr 8, 2025: Version 0.4.3 - Adding support for healpix @@ -70,4 +74,4 @@ - Several bugs where detected and corrected with the tests. """ -__version__ = "0.4.3" +__version__ = "0.4.4" From 6768e552b716119052cdbd3fa1c2d24db12da08d Mon Sep 17 00:00:00 2001 From: sortega87 Date: Tue, 8 Jul 2025 16:22:43 +0200 Subject: [PATCH 06/18] update spectrum --- pywk99/spectrum/spectrum.py | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/pywk99/spectrum/spectrum.py b/pywk99/spectrum/spectrum.py index 5756619..a306d20 100644 --- a/pywk99/spectrum/spectrum.py +++ b/pywk99/spectrum/spectrum.py @@ -92,9 +92,9 @@ def get_cross_spectrum( taper_alpha: Optional[float] = 0.5, grid_type: str = "latlon", grid_dict: Optional[dict] = None, -) -> xr.DataArray: +) -> xr.Dataset: """ - Get the Wheeler and Kiladis 1999 cross spectrum of two variables. + Get the Wheeler and Kiladis 1999 coherence, angle and cross spectrum. See pywk99.spectrum.get_spectrum for argument documentation. """ @@ -111,9 +111,12 @@ def get_cross_spectrum( grid_type, grid_dict ) - coh2 = np.abs(spectrum.cross)**2 / np.real(spectrum.spectra1) / np.real(spectrum.spectra2) + sxy2 = np.abs(spectrum.cross)**2 + sxx = np.abs(spectrum.spectra1) + syy = np.abs(spectrum.spectra2) + coh2 = sxy2 / (sxx * syy) angle = xr.apply_ufunc(np.angle, spectrum.cross) - coh2.name = "coherence_squared" + coh2.name = "coh2" angle.name = "phase" cross_spectrum = xr.merge([spectrum, coh2, angle]) return cross_spectrum From 23dadb28e3eb97e1738cdaf6df6d5ee256210ad2 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Wed, 9 Jul 2025 13:16:29 +0200 Subject: [PATCH 07/18] rename spectra file --- examples/cross_spectra.ipynb | 89 ++++++++++++++------ examples/wk99_cross_spectra.ipynb | 134 ------------------------------ 2 files changed, 63 insertions(+), 160 deletions(-) delete mode 100644 examples/wk99_cross_spectra.ipynb diff --git a/examples/cross_spectra.ipynb b/examples/cross_spectra.ipynb index 0826159..5450cdb 100644 --- a/examples/cross_spectra.ipynb +++ b/examples/cross_spectra.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -24,16 +24,16 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'0.4.4_dev'" + "'0.4.4'" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -45,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -58,7 +58,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -77,7 +77,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -95,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -473,14 +473,14 @@ " spectra1 (frequency, wavenumber) float64 736.5 754.1 ... 704.2 695.1\n", " spectra2 (frequency, wavenumber) float64 1.325e+03 1.318e+03 ... 171.7\n", " cross (frequency, wavenumber) complex128 (-0.8578259401622805-25.07...\n", - " cho2 (frequency, wavenumber) float64 0.000645 0.0005709 ... 1.426e-05\n", - " phase (frequency, wavenumber) float64 -1.605 -2.628 ... -1.565 -0.5129
  • " ], "text/plain": [ "\n", @@ -586,11 +586,11 @@ " spectra1 (frequency, wavenumber) float64 736.5 754.1 ... 704.2 695.1\n", " spectra2 (frequency, wavenumber) float64 1.325e+03 1.318e+03 ... 171.7\n", " cross (frequency, wavenumber) complex128 (-0.8578259401622805-25.07...\n", - " cho2 (frequency, wavenumber) float64 0.000645 0.0005709 ... 1.426e-05\n", + " coh2 (frequency, wavenumber) float64 0.000645 0.0005709 ... 1.426e-05\n", " phase (frequency, wavenumber) float64 -1.605 -2.628 ... -1.565 -0.5129" ] }, - "execution_count": 9, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -601,12 +601,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "COHERENCE_THRESHOLD = 0.05\n", - "coh2 = symmetric_spectrum[\"coherence_squared\"]\n", + "coh2 = symmetric_spectrum[\"coh2\"]\n", "coh2 = coh2.where(coh2 > COHERENCE_THRESHOLD, drop=True)\n", "u = xr.apply_ufunc(np.real, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", "v = xr.apply_ufunc(np.imag, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", @@ -616,12 +616,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", "text/plain": [ "
    " ] @@ -632,7 +632,7 @@ ], "source": [ "fig, ax = plt.subplots(1 , 1, figsize=(5, 4))\n", - "np.sqrt(coh2).plot.contourf(ax=ax)\n", + "coh2.plot.contourf(ax=ax)\n", "stride = 3\n", "ax.quiver(u.wavenumber[::stride],\n", " u.frequency[::stride],\n", @@ -641,6 +641,43 @@ " angles=\"uv\", pivot='mid', units='x', width=0.15)\n", "plot_dispersion_relations(\"symmetric\", ax, w_max=0.5)" ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "symmetric_spectrum[\"coh2\"].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/examples/wk99_cross_spectra.ipynb b/examples/wk99_cross_spectra.ipynb deleted file mode 100644 index 3140e6b..0000000 --- a/examples/wk99_cross_spectra.ipynb +++ /dev/null @@ -1,134 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Reproducing the results of Wheler and Kiladis 99" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import xarray as xr\n", - "from matplotlib import pyplot as plt\n", - "from pywk99.spectrum.spectrum import get_cross_spectrum\n", - "from pywk99.timeseries import remove_seasonal_cycle\n", - "from pywk99.timeseries import remove_linear_trend" - ] - }, - { - "cell_type": "code", - "execution_count": 110, - "metadata": {}, - "outputs": [], - "source": [ - "# run data/download.ipynb to download the example data\n", - "slp = xr.open_mfdataset(\"data/slp.19*.nc\").slp.compute()\n", - "olr = xr.open_dataset(\"data/olr.2xdaily.1979-2022.nc\").sel(time=slice(\"1979\", \"1996\")).resample({\"time\": \"1D\"}).mean().olr.compute()\n", - "variables = xr.Dataset({\"olr\": olr, \"slp\": slp})\n", - "variables = variables.sortby(\"lat\")" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "metadata": {}, - "outputs": [], - "source": [ - "variables_normalized = remove_linear_trend(variables)\n", - "variables_normalized = remove_seasonal_cycle(variables_normalized)" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": {}, - "outputs": [], - "source": [ - "COHERENCE_THRESHOLD = 0.05\n", - "window_length = \"92D\"\n", - "overlap_length = \"60D\"\n", - "data_frequency = \"1D\"\n", - "symmetric_spectrum = get_cross_spectrum(variables_normalized, \"symmetric\",\n", - " data_frequency, window_length,\n", - " overlap_length)\n", - "asymmetric_spectrum = get_cross_spectrum(variables_normalized, \"asymmetric\",\n", - " data_frequency, window_length,\n", - " overlap_length)" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "coh2 = symmetric_spectrum[\"coherence_squared\"]\n", - "coh2 = coh2.where(coh2 > COHERENCE_THRESHOLD, drop=True)\n", - "u = xr.apply_ufunc(np.real, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", - "v = xr.apply_ufunc(np.imag, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", - "u = u.where(coh2 > COHERENCE_THRESHOLD, drop=True)\n", - "v = v.where(coh2 > COHERENCE_THRESHOLD, drop=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from pywk99.spectrum.plot import plot_spectrum\n", - "from pywk99.waves import plot_dispersion_relations\n", - "\n", - "fig, ax = plt.subplots(1 , 1, figsize=(5, 4))\n", - "coh2.plot.contourf(ax=ax)\n", - "stride = 3\n", - "ax.quiver(u.wavenumber[::stride], \n", - " u.frequency[::stride], \n", - " u[::stride,::stride], \n", - " v[::stride,::stride],\n", - " angles=\"uv\", pivot='mid', units='x', width=0.15)\n", - "plot_dispersion_relations(\"symmetric\", ax, w_max=0.5)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "pywk99", - "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": "3.13.5" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} From 7850d7a008ec3ee2ee6c2f178cc59de5fc10bc57 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Wed, 9 Jul 2025 13:18:26 +0200 Subject: [PATCH 08/18] unfreezing window --- pywk99/filter/window.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pywk99/filter/window.py b/pywk99/filter/window.py index 7b103c5..b1d6e57 100644 --- a/pywk99/filter/window.py +++ b/pywk99/filter/window.py @@ -12,7 +12,7 @@ class FilterPoint(Point): """See shapely.geometry.Point.""" -@dataclass(frozen=True) +@dataclass class FilterWindow: name: str polygon: Union[Polygon, MultiPolygon] From df464befbdbd59152c50d75c752d205185dc8427 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Thu, 10 Jul 2025 15:52:30 +0200 Subject: [PATCH 09/18] separating coherence calculation --- examples/cross_spectra.ipynb | 580 ++--------------------------------- pywk99/spectrum/__init__.py | 4 + pywk99/spectrum/spectrum.py | 88 +++++- tests/test_spectrum_coh2.py | 10 +- 4 files changed, 107 insertions(+), 575 deletions(-) diff --git a/examples/cross_spectra.ipynb b/examples/cross_spectra.ipynb index 5450cdb..53380bb 100644 --- a/examples/cross_spectra.ipynb +++ b/examples/cross_spectra.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -17,6 +17,7 @@ "import xarray as xr\n", "from matplotlib import pyplot as plt\n", "from pywk99.spectrum.spectrum import get_cross_spectrum\n", + "from pywk99.spectrum.spectrum import coherence_squared\n", "from pywk99.timeseries import remove_seasonal_cycle\n", "from pywk99.timeseries import remove_linear_trend\n", "from pywk99.waves import plot_dispersion_relations" @@ -24,7 +25,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -33,7 +34,7 @@ "'0.4.4'" ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -45,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -58,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -77,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -85,528 +86,24 @@ "overlap_length = \"60D\"\n", "data_frequency = \"1D\"\n", "taper_alpha = 0.1\n", - "symmetric_spectrum = get_cross_spectrum(variables_normalized, \"symmetric\",\n", - " data_frequency, window_length,\n", - " overlap_length, taper_alpha=taper_alpha)\n", - "asymmetric_spectrum = get_cross_spectrum(variables_normalized, \"asymmetric\",\n", - " data_frequency, window_length,\n", - " overlap_length, taper_alpha=taper_alpha)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    <xarray.Dataset>\n",
    -       "Dimensions:     (frequency: 45, wavenumber: 144)\n",
    -       "Coordinates:\n",
    -       "  * frequency   (frequency) float64 0.01099 0.02198 0.03297 ... 0.4835 0.4945\n",
    -       "  * wavenumber  (wavenumber) int64 -71 -70 -69 -68 -67 -66 ... 67 68 69 70 71 72\n",
    -       "Data variables:\n",
    -       "    spectra1    (frequency, wavenumber) float64 736.5 754.1 ... 704.2 695.1\n",
    -       "    spectra2    (frequency, wavenumber) float64 1.325e+03 1.318e+03 ... 171.7\n",
    -       "    cross       (frequency, wavenumber) complex128 (-0.8578259401622805-25.07...\n",
    -       "    coh2        (frequency, wavenumber) float64 0.000645 0.0005709 ... 1.426e-05\n",
    -       "    phase       (frequency, wavenumber) float64 -1.605 -2.628 ... -1.565 -0.5129
    " - ], - "text/plain": [ - "\n", - "Dimensions: (frequency: 45, wavenumber: 144)\n", - "Coordinates:\n", - " * frequency (frequency) float64 0.01099 0.02198 0.03297 ... 0.4835 0.4945\n", - " * wavenumber (wavenumber) int64 -71 -70 -69 -68 -67 -66 ... 67 68 69 70 71 72\n", - "Data variables:\n", - " spectra1 (frequency, wavenumber) float64 736.5 754.1 ... 704.2 695.1\n", - " spectra2 (frequency, wavenumber) float64 1.325e+03 1.318e+03 ... 171.7\n", - " cross (frequency, wavenumber) complex128 (-0.8578259401622805-25.07...\n", - " coh2 (frequency, wavenumber) float64 0.000645 0.0005709 ... 1.426e-05\n", - " phase (frequency, wavenumber) float64 -1.605 -2.628 ... -1.565 -0.5129" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "symmetric_spectrum" + "symmetric_spectrum = get_cross_spectrum(\n", + " variables_normalized,\n", + " \"symmetric\",\n", + " data_frequency,\n", + " window_length,\n", + " overlap_length,\n", + " taper_alpha=taper_alpha,\n", + ")" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "COHERENCE_THRESHOLD = 0.05\n", - "coh2 = symmetric_spectrum[\"coh2\"]\n", + "coh2 = coherence_squared(symmetric_spectrum)\n", "coh2 = coh2.where(coh2 > COHERENCE_THRESHOLD, drop=True)\n", "u = xr.apply_ufunc(np.real, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", "v = xr.apply_ufunc(np.imag, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", @@ -616,7 +113,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -641,50 +138,13 @@ " angles=\"uv\", pivot='mid', units='x', width=0.15)\n", "plot_dispersion_relations(\"symmetric\", ax, w_max=0.5)" ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "symmetric_spectrum[\"coh2\"].plot()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "1 Python 3 (based on the module python3/2023.01)", + "display_name": "base", "language": "python", - "name": "python3_2023_01" + "name": "python3" }, "language_info": { "codemirror_mode": { diff --git a/pywk99/spectrum/__init__.py b/pywk99/spectrum/__init__.py index 3ebdc6a..2d2139a 100644 --- a/pywk99/spectrum/__init__.py +++ b/pywk99/spectrum/__init__.py @@ -3,6 +3,10 @@ from pywk99.spectrum.spectrum import get_power_spectrum from pywk99.spectrum.spectrum import get_amplitude_spectrum from pywk99.spectrum.spectrum import get_cross_spectrum +from pywk99.spectrum.spectrum import coherence_squared +from pywk99.spectrum.spectrum import get_co_spectrum +from pywk99.spectrum.spectrum import get_quadrature_spectrum from pywk99.spectrum.background import get_background_spectrum from pywk99.spectrum.plot import plot_spectrum from pywk99.spectrum.plot import plot_spectrum_peaks + diff --git a/pywk99/spectrum/spectrum.py b/pywk99/spectrum/spectrum.py index a306d20..1e42e87 100644 --- a/pywk99/spectrum/spectrum.py +++ b/pywk99/spectrum/spectrum.py @@ -92,13 +92,13 @@ def get_cross_spectrum( taper_alpha: Optional[float] = 0.5, grid_type: str = "latlon", grid_dict: Optional[dict] = None, -) -> xr.Dataset: +) -> xr.DataArray: """ Get the Wheeler and Kiladis 1999 coherence, angle and cross spectrum. See pywk99.spectrum.get_spectrum for argument documentation. """ - spectrum = get_spectrum( + cross_spectrum = get_spectrum( "cross", variable, component_type, @@ -111,13 +111,83 @@ def get_cross_spectrum( grid_type, grid_dict ) - sxy2 = np.abs(spectrum.cross)**2 - sxx = np.abs(spectrum.spectra1) - syy = np.abs(spectrum.spectra2) + return cross_spectrum + + +def coherence_squared(cross_spectrum: xr.DataArray) -> xr.DataArray: + """Compute the squared coherence and phase of a cross spectrum.""" + sxy2 = np.abs(cross_spectrum.cross)**2 + sxx = np.abs(cross_spectrum.spectra1) + syy = np.abs(cross_spectrum.spectra2) coh2 = sxy2 / (sxx * syy) - angle = xr.apply_ufunc(np.angle, spectrum.cross) coh2.name = "coh2" - angle.name = "phase" - cross_spectrum = xr.merge([spectrum, coh2, angle]) - return cross_spectrum + return coh2 + + +def get_co_spectrum( + variable: xr.Dataset, + component_type: str, + data_frequency: Optional[str] = None, + window_length: str = "96D", + overlap_length: str = "60D", + season: Optional[str] = None, + min_periods_season: Optional[int] = None, + taper_alpha: Optional[float] = 0.5, + grid_type: str = "latlon", + grid_dict: Optional[dict] = None, +) -> xr.DataArray: + """ + Get the Wheeler and Kiladis 1999 co-spectrum of two variables. + + See pywk99.spectrum.get_spectrum for argument documentation. + """ + cross_spectrum = get_spectrum( + "cross", + variable, + component_type, + data_frequency, + window_length, + overlap_length, + season, + min_periods_season, + taper_alpha, + grid_type, + grid_dict + ) + co_spectrum = np.real(cross_spectrum) + return co_spectrum + + +def get_quadrature_spectrum( + variable: xr.Dataset, + component_type: str, + data_frequency: Optional[str] = None, + window_length: str = "96D", + overlap_length: str = "60D", + season: Optional[str] = None, + min_periods_season: Optional[int] = None, + taper_alpha: Optional[float] = 0.5, + grid_type: str = "latlon", + grid_dict: Optional[dict] = None, +) -> xr.DataArray: + """ + Get the Wheeler and Kiladis 1999 quadrature-spectrum of two variables. + + See pywk99.spectrum.get_spectrum for argument documentation. + """ + cross_spectrum = get_spectrum( + "cross", + variable, + component_type, + data_frequency, + window_length, + overlap_length, + season, + min_periods_season, + taper_alpha, + grid_type, + grid_dict + ) + quadrature_spectrum = np.imag(cross_spectrum) + return quadrature_spectrum diff --git a/tests/test_spectrum_coh2.py b/tests/test_spectrum_coh2.py index fb3a4f9..ac7ed95 100644 --- a/tests/test_spectrum_coh2.py +++ b/tests/test_spectrum_coh2.py @@ -5,6 +5,7 @@ import xarray as xr from pywk99.spectrum.spectrum import get_cross_spectrum +from pywk99.spectrum.spectrum import coherence_squared @pytest.fixture @@ -27,9 +28,6 @@ def cross_spectrum(variables, request): return cross_spectrum -def test_cross_spectrum_coherence_is_one(cross_spectrum) -> None: - assert np.all(np.ravel(cross_spectrum.coh2.values) == pytest.approx(1.0)) - - -def test_cross_spectrum_angle_is_zero(cross_spectrum) -> None: - assert np.all(np.ravel(cross_spectrum.phase.values) == pytest.approx(0.0)) +def test_coherence_squared_is_one_for_the_same_field(cross_spectrum) -> None: + cho2 = coherence_squared(cross_spectrum) + assert np.all(np.ravel(cho2.values) == pytest.approx(1.0)) From 54aa801831eb387e3b32980144e494493937c6a3 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Thu, 10 Jul 2025 15:55:25 +0200 Subject: [PATCH 10/18] Change get_cross_spectrum output type --- pywk99/spectrum/spectrum.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pywk99/spectrum/spectrum.py b/pywk99/spectrum/spectrum.py index 1e42e87..df66ff4 100644 --- a/pywk99/spectrum/spectrum.py +++ b/pywk99/spectrum/spectrum.py @@ -92,7 +92,7 @@ def get_cross_spectrum( taper_alpha: Optional[float] = 0.5, grid_type: str = "latlon", grid_dict: Optional[dict] = None, -) -> xr.DataArray: +) -> xr.Dataset: """ Get the Wheeler and Kiladis 1999 coherence, angle and cross spectrum. From 6efff134bf28081bf5a6b14603c4eb0f5e81bfe8 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Thu, 10 Jul 2025 16:17:03 +0200 Subject: [PATCH 11/18] changing spectra definition in cross spectra --- examples/cross_spectra.ipynb | 4 ++-- pywk99/spectrum/_spectrum.py | 10 +++++----- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/examples/cross_spectra.ipynb b/examples/cross_spectra.ipynb index 53380bb..4476a67 100644 --- a/examples/cross_spectra.ipynb +++ b/examples/cross_spectra.ipynb @@ -98,7 +98,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -113,7 +113,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 7, "metadata": {}, "outputs": [ { diff --git a/pywk99/spectrum/_spectrum.py b/pywk99/spectrum/_spectrum.py index 36907c3..e81cc9f 100644 --- a/pywk99/spectrum/_spectrum.py +++ b/pywk99/spectrum/_spectrum.py @@ -180,11 +180,11 @@ def _compute_hayashi_cross_spectrum(variables: xr.Dataset) -> xr.DataArray: varlist = list(variables.keys()) variable1_name = varlist[0] variable2_name = varlist[1] - variable1_fft = fourier_transform(variables[variable1_name]) - variable2_fft = fourier_transform(variables[variable2_name]) - spectrum_1 = np.abs(variable1_fft)**2 / (n_time * n_lon) - spectrum_2 = np.abs(variable2_fft)**2 / (n_time * n_lon) - cross_1_2 = variable1_fft * np.conj(variable2_fft) / (n_time * n_lon) + variable1_fft = fourier_transform(variables[variable1_name]) + variable2_fft = fourier_transform(variables[variable2_name]) + spectrum_1 = np.abs(variable1_fft)**2 / (n_time * n_lon)**2 + spectrum_2 = np.abs(variable2_fft)**2 / (n_time * n_lon)**2 + cross_1_2 = variable1_fft * np.conj(variable2_fft) / (n_time * n_lon)**2 spectrum_1.name = f"spectra1" spectrum_2.name = f"spectra2" cross_1_2.name = f"cross" From 860f59985edb8770bcf4a5a13e12b46f9cc07545 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Thu, 10 Jul 2025 16:18:55 +0200 Subject: [PATCH 12/18] Update spectrum.py --- pywk99/spectrum/spectrum.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pywk99/spectrum/spectrum.py b/pywk99/spectrum/spectrum.py index df66ff4..4d341ad 100644 --- a/pywk99/spectrum/spectrum.py +++ b/pywk99/spectrum/spectrum.py @@ -94,7 +94,7 @@ def get_cross_spectrum( grid_dict: Optional[dict] = None, ) -> xr.Dataset: """ - Get the Wheeler and Kiladis 1999 coherence, angle and cross spectrum. + Get the Wheeler and Kiladis 1999 cross spectrum. See pywk99.spectrum.get_spectrum for argument documentation. """ @@ -115,7 +115,7 @@ def get_cross_spectrum( def coherence_squared(cross_spectrum: xr.DataArray) -> xr.DataArray: - """Compute the squared coherence and phase of a cross spectrum.""" + """Compute the squared coherence a cross spectrum.""" sxy2 = np.abs(cross_spectrum.cross)**2 sxx = np.abs(cross_spectrum.spectra1) syy = np.abs(cross_spectrum.spectra2) From a823e26b631e8cbd2267024481a3ac135983db8f Mon Sep 17 00:00:00 2001 From: sortega87 Date: Thu, 10 Jul 2025 16:19:56 +0200 Subject: [PATCH 13/18] Update __init__.py --- pywk99/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pywk99/__init__.py b/pywk99/__init__.py index a8ce489..bbb72e7 100644 --- a/pywk99/__init__.py +++ b/pywk99/__init__.py @@ -4,7 +4,7 @@ Changelog --------- Jul 8, 2025: Version 0.4.4 - - Implementing the coherence and amplitude spectra. + - Implementing the cross spectra and coherence function. - Fixing bugs in the cross spectra. Apr 8, 2025: Version 0.4.3 From bc4682d7649945aac2db83520a82c91b15b47fbf Mon Sep 17 00:00:00 2001 From: sortega87 Date: Fri, 18 Jul 2025 15:30:04 +0200 Subject: [PATCH 14/18] coherence inside get_cross_spectra --- pywk99/spectrum/__init__.py | 1 - pywk99/spectrum/spectrum.py | 7 +++---- tests/test_spectrum_coh2.py | 5 ++--- 3 files changed, 5 insertions(+), 8 deletions(-) diff --git a/pywk99/spectrum/__init__.py b/pywk99/spectrum/__init__.py index 2d2139a..c68c553 100644 --- a/pywk99/spectrum/__init__.py +++ b/pywk99/spectrum/__init__.py @@ -3,7 +3,6 @@ from pywk99.spectrum.spectrum import get_power_spectrum from pywk99.spectrum.spectrum import get_amplitude_spectrum from pywk99.spectrum.spectrum import get_cross_spectrum -from pywk99.spectrum.spectrum import coherence_squared from pywk99.spectrum.spectrum import get_co_spectrum from pywk99.spectrum.spectrum import get_quadrature_spectrum from pywk99.spectrum.background import get_background_spectrum diff --git a/pywk99/spectrum/spectrum.py b/pywk99/spectrum/spectrum.py index 4d341ad..1911dfc 100644 --- a/pywk99/spectrum/spectrum.py +++ b/pywk99/spectrum/spectrum.py @@ -111,17 +111,16 @@ def get_cross_spectrum( grid_type, grid_dict ) + cross_spectrum["coherence_squared"] = _coherence_squared(cross_spectrum) return cross_spectrum -def coherence_squared(cross_spectrum: xr.DataArray) -> xr.DataArray: +def _coherence_squared(cross_spectrum: xr.Dataset) -> xr.Dataset: """Compute the squared coherence a cross spectrum.""" sxy2 = np.abs(cross_spectrum.cross)**2 sxx = np.abs(cross_spectrum.spectra1) syy = np.abs(cross_spectrum.spectra2) - coh2 = sxy2 / (sxx * syy) - coh2.name = "coh2" - return coh2 + return sxy2 / (sxx * syy) def get_co_spectrum( diff --git a/tests/test_spectrum_coh2.py b/tests/test_spectrum_coh2.py index ac7ed95..c1340fd 100644 --- a/tests/test_spectrum_coh2.py +++ b/tests/test_spectrum_coh2.py @@ -5,7 +5,6 @@ import xarray as xr from pywk99.spectrum.spectrum import get_cross_spectrum -from pywk99.spectrum.spectrum import coherence_squared @pytest.fixture @@ -29,5 +28,5 @@ def cross_spectrum(variables, request): def test_coherence_squared_is_one_for_the_same_field(cross_spectrum) -> None: - cho2 = coherence_squared(cross_spectrum) - assert np.all(np.ravel(cho2.values) == pytest.approx(1.0)) + cho2 = cross_spectrum.coherence_squared + assert np.all(np.ravel(cho2.values) == pytest.approx(1.0)) \ No newline at end of file From 53e86025371370dea809b59b695d2986cc64ecd4 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Fri, 18 Jul 2025 15:32:01 +0200 Subject: [PATCH 15/18] fixing get_co_spectrum and get_quadrture_spectrum --- pywk99/spectrum/spectrum.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pywk99/spectrum/spectrum.py b/pywk99/spectrum/spectrum.py index 1911dfc..2d0b6e4 100644 --- a/pywk99/spectrum/spectrum.py +++ b/pywk99/spectrum/spectrum.py @@ -153,7 +153,7 @@ def get_co_spectrum( grid_type, grid_dict ) - co_spectrum = np.real(cross_spectrum) + co_spectrum = np.real(cross_spectrum.cross) return co_spectrum @@ -187,6 +187,6 @@ def get_quadrature_spectrum( grid_type, grid_dict ) - quadrature_spectrum = np.imag(cross_spectrum) + quadrature_spectrum = np.imag(cross_spectrum.cross) return quadrature_spectrum From f00972f735aedf32d3abb52c37f706302254f97d Mon Sep 17 00:00:00 2001 From: sortega87 Date: Fri, 18 Jul 2025 17:31:49 +0200 Subject: [PATCH 16/18] updating changelog --- pywk99/__init__.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pywk99/__init__.py b/pywk99/__init__.py index bbb72e7..83891f8 100644 --- a/pywk99/__init__.py +++ b/pywk99/__init__.py @@ -3,8 +3,8 @@ Changelog --------- -Jul 8, 2025: Version 0.4.4 - - Implementing the cross spectra and coherence function. +Jul 18, 2025: Version 0.4.4 + - Adding coherence to the cross spectra function. - Fixing bugs in the cross spectra. Apr 8, 2025: Version 0.4.3 From 1cc8929e01eb776806990ff1fc45ac3e15a4a318 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Fri, 18 Jul 2025 17:41:44 +0200 Subject: [PATCH 17/18] Updating cross spectra example --- examples/cross_spectra.ipynb | 34 +++++++++++++--------------------- 1 file changed, 13 insertions(+), 21 deletions(-) diff --git a/examples/cross_spectra.ipynb b/examples/cross_spectra.ipynb index 4476a67..f90323a 100644 --- a/examples/cross_spectra.ipynb +++ b/examples/cross_spectra.ipynb @@ -17,7 +17,6 @@ "import xarray as xr\n", "from matplotlib import pyplot as plt\n", "from pywk99.spectrum.spectrum import get_cross_spectrum\n", - "from pywk99.spectrum.spectrum import coherence_squared\n", "from pywk99.timeseries import remove_seasonal_cycle\n", "from pywk99.timeseries import remove_linear_trend\n", "from pywk99.waves import plot_dispersion_relations" @@ -46,31 +45,24 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# run data/download.ipynb to download the example data\n", "slp = xr.open_mfdataset(\"data/slp.19*.nc\").slp.compute()\n", - "olr = xr.open_dataset(\"data/olr.2xdaily.1979-2022.nc\").sel(time=slice(\"1979\", \"1995\")).resample({\"time\": \"1D\"}).mean().olr.compute()\n", + "olr = xr.open_dataset(\"data/olr.2xdaily.1979-2022.nc\").sel(\n", + " time=slice(\"1979\", \"1996\")\n", + " ).resample({\"time\": \"1D\"}).mean().olr.compute()\n", "variables = xr.Dataset({\"olr\": olr, \"slp\": slp})\n", "variables = variables.sortby(\"lat\")" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 10, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/m/m301047/repos/pywk99_mpimet/pywk99/timeseries/timeseries.py:34: UserWarning: Converting non-nanosecond precision timedelta values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.\n", - " data_time_span = data_time_span.astype(\"timedelta64[D]\")\n" - ] - } - ], + "outputs": [], "source": [ "variables_normalized = remove_linear_trend(variables)\n", "variables_normalized = remove_seasonal_cycle(variables_normalized)" @@ -78,7 +70,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -98,12 +90,12 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "COHERENCE_THRESHOLD = 0.05\n", - "coh2 = coherence_squared(symmetric_spectrum)\n", + "coh2 = symmetric_spectrum.coherence_squared\n", "coh2 = coh2.where(coh2 > COHERENCE_THRESHOLD, drop=True)\n", "u = xr.apply_ufunc(np.real, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", "v = xr.apply_ufunc(np.imag, symmetric_spectrum.cross) / np.abs(symmetric_spectrum.cross)\n", @@ -113,12 +105,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { - "image/png": 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9MWrUKG6//XaamppYsmQJlZXe1900PNNdcE2EU0cldmHz69z4gmjG356Ds83FrpoE2tqCu1UoSjeLVtbRsGk1juaGgMYYaDqQq8lK++Z9J3+ub0ZpafN6fJ5FcCTm5PVCIbqu9lbqvv0MqVsN33ChcL6hnVLVQNkAi1mYTNpD6XDgrBVcgHAi+z3Ge1Udicqqk+u64eH+uZjj4kcihDsNR1HsJKVM9He6XQy4gEB6bpdhrjrsROWPJX3P6VcDRa/Xc8EFF3DttdeyZcsWPvroI5qbm0/1tIYNkyZNIikpiTAiUHAxhimYJN+RR1Hp4Yydl01kWhh7lx6nbpcF3cqtQc9BcdmJickiPCIRfUQkBfOfQdL5/qz1jhgeaDqQq7aJ1P+8E31iLIaMJGKumI79qJcHOCFCkn7kiZEP/H8YE1LQRUYzbsZFXJAazRZXODUDzPMFyDXUhmCGGoONJrg+8Kf1WEuLzL79BkbkKSQk9M1n7Y05NhtZPmnRJgcouKEoIKALC8eUlNr1c27Y5IGNt3JLSK3b3kRFRXHNNdcwY8YMiouL+fzzz2lr826haLiZPHkyb731FvmMw4WTUrznk4fFGym4IZPkwlgOfVpJ2Td1qM6BW03hEQkUFv2EhIQCXK0tuNpbMUSb/R9ACCJd0G4IXgDDRmcTPmkkirUNfVIciXdfTfiEfI/HJtigMWxg7mtP6COiQAjstVX84PIrOPeSOaxpNxL1vXPAOe8xu/egujQLdzhwVgvuZw3vei2k74/YduJwSuwp0RNrFuTl+l7XlWU9sXG5AETHZBIeHh/IlENGRGYeAAZjFPEJBUGPM5hC25vk5GRuuukmxo0bx8cff8xXX32lCa8P0tPTueKKK0glm3CiKOUgTtEzaCks3sioazPIviiZ0tW1HFlRhbO1b35osH9nkykGnc5AbJxb4NrLDvs8vrf7NtYBTQNf7UDYHAi7E53Z/ZAteWnPNsKictg8OLdFR8VRbrzx35Ci4/leCSft4MDKsHb+TbIuTqJsnRbZPxw4awU3OjqauLg4gD5VkQIR2046+8C2tkpMGOfCYPAuunHxI4FTY912kurIBCAldTKyHFyu4VCKbXeys7O59dZbGTlyJB9//DHFxcVYrdZTMpfhgCzJ5DO2h5UbkWTqEtry9fUc+Gc5tkbfEcQD+XubY3MBaA+wnGl6q6AyauDWpmJxBybqzFFej5FVQbQTLKbQu5PNksIlqVF89913HDXFkbI5+Aj87h6lmJwIbE0OnNbQN1vRCD2n38LdEJGTk9OneH6xujyo/MTu1NXraGuXGDvaybFSPS0tfZ9pugQ32X/BDZXYdrqvOk7cANPSAn+4OFVC25vc3Fxyc3MpLS3l888/x2QyMXPmTBITE0/11E47UsnmKPsQ2TYKpmegdgjK19XR0RDYjV+3cktQD6RGYySRUam0lR5BCOGxcYWn4KSUDsG+uIHbBf4IblaroCwE4t6bHNlBps7F8o8+ob3WwszDMUHFR3n63mWen8SBD8tDMEuNoeCsFdzCwkKP2zst3YH0wW1vl9lTYmDUCBcx0Wqf3pVRUakkJI4hLDzO6xih7i7Ue50oLCyWhMQxREWnBTTO6SK23cnOziY7O5va2lrWr19PR0cH55xzDiNHjtQ6EgGSTiJ5Qix3TbiLQ1X72bJiJ9FtCUM+j9jYPCrKN+BsbsAY1/OhyJPY6lWBCqhy6CxcvQ/BzW0RbEgLndNPRjBFb8OGRMk3NprLjpKcMjmoz6Sn7118QTTWsnZcHf3HjmicHpy1gvv000/73L+q+MkBia6iSOw7oCc9TWXsaFdXGhGAJMnE/dsN1MQNTQ1jT0EZkiQxquCagMY5HcW2O8nJyVx77bW0t7ezdetWNmzYQH5+PoWFhURFeb/RnqnU19ezdetWxt2aQ/0eC4eX1mB3mYiWgq8gEYx120ly6iScI+L8TkFLaRfURITmgUlnjiJyxkQMGUke94c7BcqJ3NtQECmpFOk7OKAYEZtUkGRGjJpLZFRq/yd3w+t3ToL0aQnsXVoagtlqDBWSOMuqCrS0tGA2m7FYLMTExPR7/EBEt5PoKJW8XBdHjulpbfX/CTrUbuSBEIjYegtEG2pUVeXw4cPs2LEDIQQTJkxg1KhR6PVn7nNmR0cHJSUl7Nu3j5iYGKZMmcLdWY8ENdZAxNUb3j7Tnizc86oVSuJlrMbB91KMb1BpMkFllOfvZyB9pjNlJ3k6B1uc4URvHli1Km/fu+TJseiMMlXfu4vouIST1Xzk932tPzrvk00H8omJDizGo8WqEFdwJGRzOZM4c+88pxHWVpm9+9wuZkuLoLJKxp9FnO5CORDxrZlqGrIqUqeL2IK7XOSoUaMYNWoUbW1t7Nmzh2XLlhEVFcW4cePIy8s7I8TXZrNx8OBB9u3bhxCCsWPHcuONN2I0Bh7eOxgi20mgn+EYJ1hDX864L0KQ1ibYGz8wd7KMYLLejgKsdUaQPIDAKF9IOonkybHsWXx8UMbXGDyG/91mmOByuduYZaYrjB3t4uAhPa4AyuSlbLaf1qJ7OgmtJyIjIznvvPM477zzaGpqYt++fXz//feYTCZGjhzJiBEjhpXbubGxkUOHDnHkyJGuB4urrrqKiIjgU00GU2wDJcoh3GI7BGvwiSc6EQ0k9zZKUjlH38FBxUiVahjU71ra1HhqtjUh1LPKOXlGoAnukCJRXqknOkpl3Fgnx47rabH6/1R9qkTXlzv5dBdaT8TFxTFjxgxmzJhBW1sbhw4dori4mLa2NpKTk7uCsAYiXqHGYrFw/PhxSktLaW5uJi4ujhEjRnDDDTcEZcn25nQSW+jsDjQ0AW8jLColA4iEzpKd5OqcfO8MpwN5UMVWZ5SJGxXNnsXHBu0aGoOHJrj9EGwahC+srSejmM1mlbJy//tenk6W7nAU295ERkYyefJkJk+ejBCCuro6jh8/zueff05HRwfh4eGkpaWRmppKUlISkZGRgxr5LITAYrFQV1dHVVUV1dXVOJ1OYmJiyM7O5oILLiA2NnbQrh9KBvI5TW0XrEsd/DIBOlUQ6YSWfnJvbYXtfdZxdd2ikNc6wxFD0Ls2Y0YilRu1IhfDFU1w/WAwRFdRJPaUqGSk6xk/1sXBw3ocjqEX3c6YOW8i4sm6PROE1hOSJJGcnExycjLnnnsu4A5Cqqqqoqqqip07d3ZVtjIajZjNZsxmM5GRkURGRhIeHo7JZMJgMGAwGJDlk4KhKApOpxOn04ndbqe9vZ22tjba2tpobm6mpaUFl8uFJEnExMSQlJREXl4e06dPD4kF64tgPtuhTlvrjiwEsgouPyKG543dwtIS/+ffOwc4q1VQFh24UMZKCpP1NkoUE7Vq4G02/UW5tKjrO2iI0BGVHk7pN1rd5OGKJrh+0vmhD5Xwulx21qz+NZlZM5hceBVjRjmpqNL53Ws0VKLbaq1k145/MGr01SQlT+j3vDNVbL0RHh5Ofn4++fk9a+/a7XYsFgsWi4X29nYqKytpb2/H4XB0CWv3BACdToder8dgMGAymYiIiCAyMpLk5GRGjRqF2WwOeQDXtm3bmDDB9990KFzJbaWHCEtO79N72RtJ7YLaANKBAhFd277jGDOS0MW4SzzmtgjW+Zl767Zywxmlc5AoK2xwhuPoVayv8zvZn/A2NhwkPmGUX9ftJPPCJMrW1gV0jsbphSa4ARIqa7ettRoQGE0xtHfI7NprID9XIS7WyZFj/vXF7PxSByK8vW8EDfX7sdst6A19b4bdrduzTWj7w2QydVnDpys7duzgs88+O9XTwFZTQXvZEZLOn+N5f6+UoIw2wdGY/kVw3tgtPf7vj+haPl1L7DUXoIuJJMIpcMrg9DP3NtwlmJbYSn2TiQ3OcHwtA/X+Tnb/3tltFo4c+iIgwTWZDZiiDVjLQtefV2PoOWtrKZ9qWlurAHfVKThRi/monoZGHRPGOYmM9K/dH/T/NJ2y2d716k1DwwF0OhNmc06P7Z1i27vOtMbwQQjBr3/9a9pEi8f9A3lwDMR16miqp3HzGlSHf+fE2aFpEDzWjoo62rfsw1HpXgPNbxEcMfsntplWlfMrVbYlyeye6CLQ2ow1U01dr70tX2OzNQd0fvbFyZR+q7mShzua4AZBKCoutVpPCG6v0opNzTIl+wxkZypkZfjuPNSd3oLqS2Q7cTrbabGUEh8/0mMDA01ohzeqquJwONjLZgajvo2/outoqkfpaKNpx8Z+jw13Cjr09JsO1N269bWtO5Z/rQPAWVHXlXtb3Y/rWq8KplUrpLQLVmXKA25sYKuronnXJpzOdoTw76E6IskEErTXDk0uvcbgoQlukAxUdFutVRgMkRiN0X32OU/k7Dpd7s5DJpP/N8v+RLY7jQ2HAEF84uge21cVP6mJ7RlAp8haaKSMnl16QrV2689nzdHktigbNq1GKL672vjT/N2XsHrb52pupXXNdgCclfUkdUBduO/c28QOwaxylePREltSdD1qOnuqjOUPtav/BUIAgspx/nX4ybo4WQuUOkPQBHcABCO6DfX7cTo7aG2tJio6zUeKiUR1jY5DR/SMGuEiJVnBX2u3P1qtVdTV7qGxYT9AVz/cVcVPsqr4yZBcQ+PUo6onLahD7KZDDE7vYF+iKxQXTsuJ8oPWZix7tvbY31u40tsFVT4Etz8r1hstX2xAON0C56is89n3VhaCwjqF0U0q32TIVEd6Pi5Q0W07fpDWw3u7fna1t/UbfxETreJsdWJvHliJSI3TA01wh5jW1mo2bfgDqupEVRX2lXyA0+H9RmizSezeq8doEIwd7bvPrr8IobJ759vU1e7GaIymseEA//Pfswc8rsbpRXc3sopCCVsQQgxKZLI30XVYGk9YdG7qv1uFUD27UiUhMChgH2ADgd6irNoctHy56eR1Gq2EO1SPNZpj7YJLylQaTRLr0nX9NjPwV3SFUKn5+tMe25R2dwcj76IryM5SKPtWi0w+U9AEd4AEauWaTDE4HO5m6ZbmoyDAYIzs5yyJsgo9pWU6xhY4SUocWDsuSZIBgaI4cDisCGU348ePH9CYGqcfqqqSmuoOyosnmUxG4GDw1gE9ia6jqR6DOR7ZaMIYn0TMmEnYaio8np9wosRiKJg3dkuX8NpKjhFzxXTkqHB0sVGMO6eQY0rPh1xJCCY0qEyqV1mbLlPqR5R0IDia6jGPLyIsJQNJp0MfHYvS0erznLhYgbVVwtmutd87U9AENwQEIrqmMHPX/yVJR27eLL/PbWt3pw9FRAjGFDgx6IOzdt2Ce5K//vWvhIWF6E6ncdqQl5fH+vXriSYOK80kkY5JChvUNou9RdcQE0/+vY9jSkxFsdtIvuhKwtOyuvZ3r96U0apS4aVbT7DMG7uFe2+zEnf9xahtNsIKcii6fi5HI09+d8x2wSXlKu16+DZdxqYPfcUoU3wy8VMvxNnSTFhKBvl3P4o+xt0P27N3QJCV4aLq7V0hn4vGqUMT3BDh700szHRScNMzzvXZhN4TQkgcL9VTXqFj7OhOazdA4e22bvzTn/6Uiy66KLDzNYYFV1xxBXl5eSSSihMHFhqG5LrdBSQsKRWdKQxjfDJKmxXF1tHn+E7R9cfCDaSqVHcuj1kHQhCXmYbTqIOUOCQhGN+gUlinsj5V5ohZDrhZQiBt+5yWRpSONsLTctBHRhORnuPVFZ+UqNLQJKM4/E8P1Dj90QQ3hOhWbunz6o3R5O4PKct6cnJ/EPS1WttOWLvhga/t6jeUuOdCGC+99FLQc9AYHiTiTj2rp2rIrtlbSEwJ7sbvjkbP0bYx28Nw6vzr2BOM6DaVu13Il0+IJ3viIWJtgkvLVTr08E2GTIchcKs2ELEF6Kh0N4sPT8/2eZwkCdJSFSqrAutDq3H6c9ZWmnI6hybqr7fo6gADRlIyz+3hXg4GISSOl+mJjFAZU+Cktk5HTW3PXrueRF86sX8MU4ZNIXyN4IkhDiMm6qlmJBOH7Lrdy48a490VueyNdYSn5/Q9VlaoazBBun+pMoHSVOYW3PiwFOR6J1c56/kgLZGOQXAfe6Ojyi24YWluwfVm3aamqNTU6pC/2upxvyf0kToYnCB0jRBy1lq47733HqWlpafk2hFEk18aF7K1tLZ2mV17DBgMgvFjXURu3eXVwga34CaRTrKUEZLra5zeSJJEAqm0YsEmhrY0YKeodAquo9FzxG2q7KJG0fttNQZq5TaXtVJUVEQYkahmG8p5pVw3cWvQaUaBWrcAHZXHkcPCMcYlej1GlgVJicqJB2f/SJpoZuTV2nd5OHDWCu7111/Pzp07+eyzz3A4HEN67VFMxCi5F6tCF8AiUfXWDo4uLiFvTioZ5yciefnr6tAzmikAzJZvCtH1NU5nkkgnnmRcDH0+Z8pmO8a4RGSjCeHydH1BmKTSceJ2FHLRdciMjT+XGTNn4Jp+HJFh6bE7WNENBCEEssFIZNYIJEnyat1mpCtUVPrXrtMYrWfMTVmYzAb2Lz81xoNGYJy1ghsWFsbVV1/N6NGjWbJkCYcOHfJ43GBUXIqVej7hhkJ0O8ewNzspWVaKo8XJ+Ntzic4M73OsQTISJp3cronumU+ylME50kVESQNbxgiGmqkmZL2e0Y++QMol1/bZb5ZULOLkemWwVZz6IEAuN6PflEvm1QbixhmQEmwDHjYY61aSJHLmPUDmDfd4PUavF8TGqDQ09n9bTi2KY+Q1GRz/upbytfX4WSVS4xRz1gpuJ/n5+dx6660cPnyYjz76iPb2vl/2wS5zOBiFCOp2Wdi3vIyUwjhGXJWGPsx3AMZs+SZNeDVCSmex/k68VVVLlV1UqyEOJ2k1ot+UA60mXDOPItn1iHTPTRyGks7fgadiF1mZCmUVenxZt2HxRsbdmo0kS+x95zgd9Vp95eHEWS+44G4mfvnllzN16lTee+89du3a1afY+3DsmuOyKRz6tJLanRbG3JRF8uTYfs/RhPfMZyh64AbSMjJRVqhX3Q+EgVq3fdzKioS8LwX9njRc46tQx9SCLJArYlEzmv0bwwfBWLfe6P47MhoFEeGCZovnW7IkQ+YFSeRelsLhFVVUfd8YsnloDB2a4HYjIyOD22+/nebmZt59912am5v7HDPcRBfAWtbO7sXH0IfrGHdrDpEp/Re50ERXIxh6W7X9oUcgABVpwK5kqToa/fo8RLQN13nHIepEbEa7AWFUwHD6+l1zslwcL+3phep8MIpKD2fcbbnYmh3se7cMu+XMrKv82muvkZeXR1hYGEVFRaxZs8brsR988AGzZ88mKSmJmJgYZsyYwRdffOH1+KVLlyJJEj/84Q8HYeb+owluL3Q6HRdeeCGXXXYZn332GevXr+9RBB5Ca+2GytrodxwBld81cPCTCtKnJ5A/V3Mzn40MlnUbqNB2kiS7qFX1AxPbViP6jTnIDZG4ZhxzB0V188rKpXGo2aenRVgz1UR4uIpO586t745OJ8i/Io3Uojj2v19G/W6Ll1GGP8uWLeORRx7h6aefZtu2bVx44YXMnTvXaybJt99+y+zZs1mxYgVbtmxh1qxZXHPNNWzbtq3PscePH+fxxx/nwgsvHOy30S+a4HohISGBefPmERERwdtvv01FRd/6r8PRzexsdXHwowrq91gYfWMWqVPj+w2I1ERXwxfBCG0nabKL46ODs9j0imBKndLlPlbGV4O+lxUrQK6PQiQOPEk1lO7k7uRkKb2sW0FCgsL4sU4a9rVw6JNKXB1ndj3lV155hfvuu48f//jHjB07lgULFpCVlcXrr7/u8fgFCxbwxBNPcO655zJq1CheeOEFRo0axSeffNLjOEVRuP322/n1r39Nfn7+ULwVn2iC6wNJkigsLOSGG25g8+bNfPbZZ9hsfaMcgxXdWlHBkUNf4PDRLWiwaCltZ8/bx7AqzeTdkUB4bv/Wrsbwo6ysrOv/obZuA7FqbbWVfeIiACLMLo9de3wiBPkWlVkVKjXhEotjEk+6j3shNUQiEtp6PFS21PQtLznUCCFwdbQRJylY43V02Ny3YpNJMG6Mi6hIwa49BizHhm81i5aWlh4vu91LRymHgy1btjBnzpwe2+fMmcP69ev9upaqqlitVuLj43tsf+6550hKSuK+++4L7k2EmLO20lQgREZGct1113Hs2DHeffddioqKGDduXFfEYbBiVMVx6o9VkZ178YDnGFRqkYDvt26iYU8Vt110NxFTIyj9uoaOhr43r+FmyWu4q6k9/PDDKJeed6qnQtO29cRNmUlYcnrXNsO4NloC9PSmtAsmNqiUR0p8lSX3WwpSLo1DGX2ynKS9zcnXC/Zw3YtTu7Z15uH2FzxlK2wPmZXbsncrclg448bkUrpFRpIEGekKsWbB4aM6OjrcAqxcWjSozSb647d14zB1GAI6x97qBI6QlZXVY/szzzzDs88+2+f4+vp6FEUhJSWlx/aUlBSqq6v9uubLL79MW1sbN998c9e2devW8be//Y3t27cHNP/BRBPcAMjNzSUzM5P169ezbNky3n7oE2yNwRXNUIVKI7XEEI/pmz1AcBbIQL+MTdQh2w2UfdWAKbaFnFkpuDoUSr+txXWiLZgmtsOTpqYmPvzwQwrPSSQuPrTutEDcyEIIrIf3oo829xDc9DZBRZR/1m2MXTC53l37+Nt0uU+f2qUlRX0LWLhkJJsBIk9+R9f/dT8Nx6wer+GP8IZCdF1tVqqLP6Ro3j20CJnwMMGYAhfVNTp27/Wv6MVwoKysjJiYmK6fTSbfn5neaWNCCK+pZN1ZsmQJzz77LB999BHJye6KZlarlTvuuIO//vWvJCZ6r+w11GiCGyB6vZ7f/OBPmGIN5M1Opb3OTvnaOlRXYB17WmhEwUU8yV3buounL/EN1ROvTXTQQRvp5ALuohkHPiwnOjOcgh9m8m8/vZbp06eH5FoaQ09TUxMAhw7+i6nnze/TlnGosNdV4WppxnpwN0kzZwNu4UotF6xL9z2ncJdgUr2KQYVtSTKtPtzPvUVXrjD3SAVqLG1l0+LDmNP6FoPpzryxWwZNdIUQVH3xHoqtncLEaByoxCSq7C0x4FLODKHtJCYmpofgeiMxMRGdTtfHmq2tre1j9fZm2bJl3HfffSxfvpzLLrusa/vhw4c5duwY11xzTde2zuBXvV7P/v37GTFiRCBvJyRoa7gB0uk+tjc72be8jNaqDsbdlkPcqOiAxmmgBoAEPH+gPNVC9lUfORiacde1jSOpx3ZreQcL/vE/JCcns3TpUr7//nsU5cwO2jgTaWx0+2tbrZVUV/lfCL8/Ag2Saj3s7k5lqyrDabVgK2xHVgUy4JI9i4xBERTWKUyvUjlkllmbrvMptp10F0q50ozarYzjypd3oThVbK39N0jo3sDeE8FGVbfs20Hrwd1cc801RBh0NOyWOHTEt9gORd70qcRoNFJUVERxcXGP7cXFxcycOdPreUuWLOHuu+/mnXfe4aqrruqxb8yYMezatYvt27d3va699lpmzZrF9u3b+7i7hwrNwvUTb+u0jfutNB9uJfPCJFIKYzn2VQ22Ju9uZqtoJpJoGqlFh54Y4r0eC6GstXySDtGGHgNNHgS3u/t4zJgxFBQUsGPHDt5++20KCwuZMGECsqw9pw0HOi1cgCOHviQpeSJ6ffARxcFiPbz35P8P7SHiwkKSOwS14X1FRqcKxjQJ0toFe+IltidKAfeoXVpSxLzsXe7c2xNRy0fW13BwtduCcq8x+ocvazdQS9fVZkW/ZwN33HEHMTExfHSkjtzWPL/PP5N57LHHuPPOO5k6dSozZszgL3/5C6WlpTzwwAMAPPXUU1RUVPDWW28BbrG96667ePXVV5k+fXqXdRweHo7ZbCYsLIwJEyb0uEZnZ7Te24cS7c7pB/0FRakuQenXtRz7qobcy1LInpWM7KXtVxP1bGUNLTQSRxIdtOEUQ9s8wU4H3/M1DdQQRgQqCm8cesnjWq0sy0yZMoXbbruNjo4OFi9ezJ49ezxGnGqcXnRauAAOh5XS498OeMxArVulo42OimNdP1tqdgKQ0SaoiDz5HZFVwZhGlUvKVawG+CpTpioy8IbwXeOVxqHmuN+/4lQp/p9dJ+fkUHE5/PfYhMLSDUNlkuUY4wtGceDAAb777jui9/v/vT/TrdxbbrmFBQsW8Nxzz1FYWMi3337LihUryMlxt3KsqqrqkZP7xhtv4HK5mD9/PmlpaV2vhx9++FS9Bb/QBLcfAolAtjU52Le8DGu5282cMK7v+oWMTDP1CAT1VLGTDeiG2NGgQ087Vmy0Y6OdXdHriYjw/aSu1+uZNm0at956KxaLhcWLF7N3715NeE9j3BauW7Aio1KxtlTgcLQO6Rxaj+5HF+b+bMlh4dhKjqF22ImzQ7PJbdGOblK5tFzFpoevsmRKY4IXWgCEoK40zZ0OBBz8poqU0Wb0JrkrHsluDazvbrAdhWQEBTo7RcLCztJKvv7ue0aPHu2xQMPZzoMPPsixY8ew2+1s2bKFiy66qGvfokWLWL16ddfPq1evRgjR57Vo0SKv4y9atIh//vOfg/cG/OCUC24g5by6s27dOvR6PYWFhYM6v2AidJsOWtnz9nHC44yMm5dNRPJJq0Du9SsfyznIQxzM0lvgn332WVJTU/0612AwMHPmTG655Raam5v5xz/+wa5du/pU49I4tcyWb+L/vbaSwqIfo9OZMBgimDzlbozGqKDHDKbAhTEukVE/+yUgEZlTQOb/PERYq4MOHYxtElxSruKQ3UJ7LKb/NB9/SGkXJOVUdYnrmMsyuPTRCbjsKoXX53D+T0ZjbwtdeURvVm6q7ORCQzs2IbNOikWeeglTxo1m97FyEi+cO7CHCo1hySkV3EDLeXVisVi46667uPTSS4dknsFUlBKKoHxdPYc+rSRjeiIjrkxDH6HrIbgZ5PVp1TcU/LP2ra7/jxkzhoceeijgMYxGIzNnzuTWW2+lvb2dxYsXs3XrVlyuwCwHjdDT6ZVJz5hGXFw+MeYsWixlqOrQB76Fp2UjG01u8RMqkQlxzLBHEGcTtOuhOEvmqDk0QtvJZVI9albPBN/SrQ0APPIDGxc/NI64rMiQXQ96im60pDDT0E6irLDOGUGpagAkHGWHGJGXR4UuisQZlxIX53+q1qnMxdUIHadUcAMt59XJ/fffz2233caMGTP6vYbdbu9T8SRYghFeR6uLgx9XULOjmYIfZlIwIx+dTocBEyOZGPRcgqVYXU509MmI6j/+8Y8YjcagxzMYDEybNo3bb78dSZJ45513WL9+vdeqMhqDR+/a1/pV7shkszkHVXXS2loV9NgDKd8I7hSRiwonckGlikkRfJktc3ygrmMPzBu1Dcmhg8ieFmzZtnoALpwezm+Sd/uV3xko6sQ2CvU2xunt7HCFsdsVhqtbTu0Y2c769euJGjUOAFn2bylJE9szB7/+4o899ljAA//yl7/sU2arO53lvJ588ske2/sr57Vw4UIOHz7M4sWL+e1vf9vvPF588UV+/etf+z9xPyhWlwdcXaq1ooO97xzHNEHljjvuoGpTI+q+4IUuULo/KJhMJvR6Pddccw2zZ88Oyfg6nY4pU6ZQWFjI/v37ef/990lMTGTatGmYzUPf9PxswtdnUbdyC+bCbABamo8TE5M5VNMCwCwpFOgdjJszh51l5ey7fiyzylUc+tA/688buwX5eFyPVKBOnDsryEzXk5PpvuX9Jnk3v6oNTbSqLAQFTYLMVsGufLAc6Gs9m4RCrB7KmqyMjHfn3tdMNZGyWXswPZvwS3AXLFjAjBkz/LaE1q5dy0MPPeRTcIMp53Xw4EGefPJJ1qxZg17v39PhU0891eOBoaWlJSQ5WJ0CFqjwVu6qY1PJBq6acR0xt0ZS+k0trZWDV9vVk0UuSRJJSUm88sorIb+eJEmMGTOGMWPGUF5ezsqVKwE499xzyczMHBTL4mzGn89fjDkbkLBYSsnk/ICvEah1KyFIk13k65y0CYkSl4nvP/iQyLzRTNlpoj6jbz3ygdIZ1CRXmnGd23NJ6jHjDl7c5+CWH0b1+PwNWHSFIKvVncZ02OwuNYkkgYd0odHOJr5ZtZLokeOCv57GsMfv8NgPP/ywq2xWf3R3WfaHv+W8FEXhtttu49e//jUFBQV+j28ymfotKTYQArV29egZ5ZpE+dp6DJHNZP8gifTzEji+ugZ7c2j7XPpyfz///PPk5uaG9Hq9yczMJDMzE4vFwvfff88333zD+PHjmTBhAgZDYPVZNXoSyGfO9M0eIqNSaLH4jo0YKEZU8nROUmUXVaqejc5wnJ0uVUkCIUjVuTgeGWI3cmcEcasRYXL16Bj0m+TdfPG1DSHggml9K0wFK7qJHe4KWHXhEl9nyl4LeABESip6RwcVFZXk/OD6gK6juZPPLPwS3IULFwbkFnzjjTf6LckVaDkvq9XK5s2b2bZtW1eQj6qqCCHQ6/V8+eWXXHLJJX7PMZQEYu3GEN/1QOFsc3H4X1WEJ5rIuywVe4uTsjV1A27F5c8689133z2gawSC2Wzmsssuw+l0smfPHpYtW0ZSUhJFRUWnVZ3TMxXl0iLGt2VhMvVfZi9wBAmSQr7OiUESHFUMHHBGIHrVA8664W504VGYzU4awgYndERXFoea3dRn++WzIjmyKZfoqIFfN9rhrunskGF9mozNS75996IY4/V2SqLTKfj5s+jCAysJ2T3/VhPf4Y9fgvujH/0ooEFvu+22fo/pXs7r+utPPvUVFxdz3XXX9Tk+JiaGXbt29dj22muvsWrVKt577z3y8k59xZZgUohmyzfRUW9n33tlxGRHUHB9Ji3H26jc2BBwfeZA5nAqXLsGg4HCwkIKCwuprKzku+++o6WlhfHjxzNu3DjN6h0EOm/YkZH+eaf8xYRKzglrtlHo2KuYaBPeBS0qfyxGVBy6tpBGJHdZt+JEK74xNT32/6p2Ar9J3k1OlufPlr/W7T93ncN59QomBXYkyrSYPL+H3q5ks6SgCrAKHfrInp6/QNdvvRW/0IR4+BBwxYW7776be++9t0dScrAEUs5LluU+JbmSk5M9lvAaTnR3SbeUtrP3neMkjI1h3K051O2xULu9CeFHiutw6+iTnp5Oeno6DoeDPXv2sHz5cqKiopg8eTLZ2dnaWm8ICFV1opTNdmqmmpARpMoucnTupY/jioE1HqxZb8Tnt1OlDvzv6qkIhVQfhZrY6rHRTqfo9t7mF06Zkg2TmGlT2ZkoU++hHCV4b04/Xm9nuzPMv2sFiXJpEYrLBqs/GtTraAycgAXXarUyZ84csrKyuOeee/jRj35ERkZGUBe/5ZZbaGho4LnnnqOqqooJEyb4LOd1ptLbJd1Q0kLDvhZSCuMYf0cu1VuaqN/TN/Ky+7nDFaPRyJQpU5gyZQqNjY3s2LGDb775hoyMDCZNmkRSUlL/g2gMIgJzjGBUUytSskS1qmerMwx7EBmF6a2CbUnBu3V9VXuSS+NQxnrvndpddP0SW0VCPpJA7ZFM6uIldvio6exNbBMlF21Cpv3U1xfSOE2QRBC1+RoaGli8eDGLFi1i9+7dXHbZZdx3331cd911p71bsKWlBbPZjMVi8at11Kmg+1qwrJdInRpP3MhoqjY10HjgZC/P4S623hBCUFFRwc6dO2loaCA7O5vx48dr673d6C9eYGDWrSA6WpCcqBIZoWKxytTWyXR0yEHn49omt3FpucrKLF3A5/ZbVtEpo9+cjWvGsaDm1gNVQj4ej1xhZq3BzLFo380TvDcvEFxo6GCjMwyHB8ENdTqQy2Vjzepfh+y+1nmf/MW6qzFFBd6A/uXzPz2t77GniqCK+CYkJPDwww/z8MMPs23bNt58803uvPNOoqKiuOOOO3jwwQcZNWpUqOd61tDdzay6BJXfNVCztYm0aQmknRvPQ888cEp6OQ4VkiR1RTirqkppaSkbN26kqamJ9PR0xowZQ1pamuZ29kIwYitJbks2MUEhPFxgtcpU18i0tQ+8IbqtsJ04GzQFqNX+1i+WK2JRM5sDn1h3VJDL4pDL4lCzmng7PtbnWnN/XYLSZBf1qs6j2GqcvQyoan5VVRVffvklX375JTqdjiuvvJI9e/Ywbtw4fve73/Hoo4+Gap5nLLt372b8+PF9xKO3m1lxqCz85jVsNhsbNmxg48aNzJgxg7y8vDNaeGRZJjc3l9zcXIQQVFZWUlJSwqpVq4iJiWHUqFHk5+cPaurXcKK32CqKA53Oc/68wSCIj1OJj1PR6cBikaio0tHR4V0kOtdzAyWjTVBucAH9W7iBNgqQK824zjsW8JwAt9CWx7m7C2U045p5lKX7z/H5jOFJbHtarIIJE5zs3msgRfVuyXpLgdQ4cwlYcJ1OJx9//DELFy7kyy+/ZNKkSTz66KPcfvvtXfm3S5cu5Wc/+5kmuP1QUVHBpEmTuP/++72Ws+ztNg4LC2PWrFl0dHSwYcMGvvvuO6ZNm0Z+fv4Z/+WVJImMjIyumIHm5mYOHjzIRx99hMvlIjMzk/z8fNLT07WevSc4dvRrRoy8HABZFsREC+LiVKIiVZxOicYmmYOH9bhc/n12gnUpJ7UL1qxeRdydc/s9dmlJkf+i22pEhDtBH9jK2JF1tYzMGu0W2nQLrhlHQSe89r7tpH+xheQklfoGHaqPADEhVGqqtpOafk5A89YY3gQsuGlpaaiqyq233sqmTZs8duu5/PLLu5r9anhnyZIlCCG44oorAj43PDycSy65hI6ODr777ju+++47zjvvPEaOHHnGC28nsbGxnHvuuZx77rkoikJ5eTkHDx7k22+/RZZlMjIyyM7OJj09/bSPLQgUf3K/dTpBRFgDqSn1JCaYUVVosUrU1skcPRa4qzhYsdUrApfDQdNnGzDfdAlyWP/j+Cu6utJ41OzGfo/rQoW6r2TMZWMhjS6h7bzmQJEkQWqKwq49vj9vx46uwuXsIBVNcM8mAhbcP/zhD9x0002EhXkPdY+Li+Po0aMDmtjZwOLFi4mLi2Pu3P6f+r0RHh7eZfFu2rSJ7777jqlTpzJmzJizRnjBXcs5JyenK8Ld5XJRXl5OaWkp3333HYqiEBsb25WOlJiYeEZYwZ3CO8dwM5EpYURZjhJZlInRCC6XwNocweZNX5OR/W9IQbaBHGjjgrR2wZEDB0BVcVTUETbCv3rO/YquAKkxAuEjOrkLxR0M5ToYyfb316LkbOeK/Ek9rhUK0lMVqmt0COH9u9fUeJhjR1aRkzcrJNfUGD4ELLh33nnnYMzjrGP37t3s2LGD+++/f0DdejoJDw/n4osvxm63s3nzZv7xj38wadIkJk6ciE4XeGTocEev13et/YJ7vay5uZmKigq2b99OQ0MDqqoSFRVFcnIyiYmJJCUlYTabT+sHFUVRaGpqoq6ujvr6empra7Hb7dy3+N/48o1vsVZ0UHtcj9MpYbdZ2LhxIwDhkRNJSBwT8PUGKrYAmUcEKz7/BgBnea3fggu+RVeqi0JN8px724VTRj6agFwbTZu5hr++/DYtNR3Mmj6+xzVCgU4nSEhQ2bnbu3XrcLSyd/cyQKDXa3EHZxtBBU19//33LF++nNLSUhwOR499H3zwQUgmdqZSWVlJSkoKb7/9NgB33HFHSMc3mUycf/75TJs2je3bt7N48WJGjx7NOeecExJhH65IkkRcXBxxcXFdhVKEELS2tnaJ14EDB2hpaUEIgU6nIyYmBrPZTExMDDExMURHRxMZGTlov0chBHa7ndbWVlpbW2lpacFisWCxWLBarQghkGWZuLg4kpKSyMnJ4dxzz+3yNt1yyy0AXDL7vwGw20+2ojxy6EviEwoCsnJDIbYgMLU101RTC4CjvC7gEbyJrlwahzLOi3Vr06M7nIjUHI6S10B7RhWL7/2Wlhp3oxBzekTX2KEiM12hotK7q14IlZI97+JwuFP79LrBLYihcfoRsOAuXbqUu+66izlz5lBcXMycOXM4ePAg1dXVPUo0anjm66+/pri4mFWrVpGTk8PMmTMH5Tp6vZ6pU6dyzjnnUFJSwrvvvkt6ejrnnXceUVFRg3LN4YYkSURHRxMdHU1+fs9m4IqiYLFYukTv+PHjtLa20tbWhtPp7DOOwWDAYDCg1+vR6XTodLoelrKqqqiqiqIoOJ1OnE4nLpeL3mnwJpOJqKgooqKiiImJITc3t0vs/XWBryp2t7ycVHhX17bW1irqaneTnDLJ22ldhEZo3USqLmqOH+n62VleG9Q4fUTXKSO5dBDRq+GH1YTuUBKSQ4cyoh4xrhpVFXz06PfU7DtZPCY2I7CaxuA9FahmqonM7TaiowXHy7x7k0qPr6Gx4WDXzzq9JrhnGwEL7gsvvMAf/vAH5s+fT3R0NK+++ip5eXncf//9pKWlDcYczyisVit///vfARg1ahTz5s3j1VdfHbTfnSzLXbWKjx07xooVKwgLC2P69Ol+d386G9HpdMTHx/tsMdmJEAKn04nD4UBRFBRF6SOmsix3CbFer8doNKLX6wfVff3gAzP52c/+ceL6Bo4cLiYxaTyyPHRLDHH1xzlQUtL1s6MiOMGFnqIrl8eiZjS7dwiQ6iPRHUlEGBTUkXWImJORw4fWVKMzykgyXWVSzemRIbVus7MUSsu9W7dtrTXU1+5BbwjH5XRb2aFyKetWbkGI0HYa0xgcAhbcw4cPc9VVVwHup/G2tjYkSeLRRx/lkksuCXmz9zMNq/VkpaiDBw/ys5/9bEgeVCRJIi8vj7y8POrq6ti4cSOtra0UFRWdVZHNg4EkSRiNxtPOZf/S/7xPbv6lHDuykqTk8eSPmIOiOJDlvm3qutM7zWUgFm9GnJmjM6+EAweInDkJtd2GanMghwX2u+rtUparzLimHkc+HodcHoeIa8c1uQLCXH3OLfhBGjqDzL7iSvJmJFO5u4mPa2b4KiDlEZuHPrcAEaiYTIKWFu8eiMioFAqLfsL6NS8QGZkCkoQuBIKrNS4YXgQsuPHx8V2ikZGRwe7du5k4cSLNzc20t7eHfIJnGi0tJ9fVrr76ah555JEhn0NSUhJXX3017e3tbNmyhQ0bNjBmzBgmT56sFZA4A+hcw83KvgC93kRN1Xas1krCwuOCGs9bGcL+hFhGoI+IxFHRDEDY6Gxi5kwD1Y9uHCfwGDBVFwF2PfpNuaiZzbimn0zt8camfxxC0klc9ewU3v82PaQPmOP0drZGhxNGX7HvTkP9flwuG7l5l5KSOhlB4N3AeqNcWqSJ7jAiYMG98MILKS4uZuLEidx88808/PDDrFq1iuLiYi699NLBmOMZRfeHlYULF55SyzIiIoILL7yQmTNnsm/fPt5///2u3FatacDwpFNs4aTLMio6nbra3T6rTgVDf1WnkmSFelVHm9kd2GRIinN/3v2Mmu8htifa78nHEpCaw1DzGlDzG/xKJa471MLRDbWMvTyDmNQIwieGrixqjKQgSWAROixT3e/L6wNK9TZAIjl1EkZTtMdjgkG5tAi++i5k42kMHgEL7v/7f/8Pm80GuNvnGQwG1q5dyw033MCvfvWrkE/wTMNqtSLLMu+8885pU4xfp9Mxfvx4xo8fT01NDRs3bsRqtTJx4kTGjh17VqYVDTdmyzd5raEcHZ1OXe0uWq1VmGNzhmxOqbKLo4oBV627Kbw+2T8Lu3dwlFwah1xlRsS3o4ytQr8tq0ts/ekA9P07hwE4746RA1637e1WHqe3s8vVM/ip8yGku/A6HW001O8nPmEkJpNW0P9sJSiXcieyLPPEE0/wxBNPhHRSZzJWq5VnnnkmJP2EB4OUlBSuvvpq7HY7O3fu5J133iE1NZVzzjmHhISEUz09jV501dr20bAgKiYdgFZrZcgF15eVGyMptAgTrroTgpsU2+9488ZucVuzTRHIx+KR7HqU7CZcM4+CLJBq3Lm3v0np2d/2N8m7PYpue5Od3Z+WkjE5noxJ8VDS55CgiZdc2IVMm/C8dttdeGtrdiKEQkrqlNBNoBvKDwq1frjDgIAF12KxUFxczLFjx5Akifz8fC699FKtDZOfFBUV8fjjj5/qafSLyWTi3HPPZerUqVRUVLBu3Tra2toYN24c48aNO+NKJQ5H/BFbcFu4AFZr5aDPqZNwVDqEjK2wA+cHTejMUcgm7+7seWO3gF2HfCgRuToGEduBUlALUT3z/OWyeB67+GuPY3gS3WMb63A5VM67Y+TA31QPBOP0Dr73o7l8zVQT5ft2o9MZSUoe3+/xGmcuAQnu4sWLeeihh3oE/gCYzWb+/Oc/dyXea3jnF7/4xbBy0XZvlWe329m7dy/Lly8nOjqawsJCMjMztQjnU0B//XC7YzRGkZM3C7M5e1Dm4snKTdW5qFb1gJOoGRNRO2wez5WEYF7cQeRN2UhCQslqwjXzCB672jlkxulaiYns8Htu467IJHVcLLHpgefd+iJFVmgSMnY/2+9l/ts92GoqqM+NDnkvXI3hg9+Cu3XrVu655x5uv/12Hn30UcaMGYMQgr1797JgwQLuvPPOrkhXDe/o9QPqiHhKMZlMTJkyhSlTptDQ0MCOHTv4+uuvyc7OZtKkSX7lrGqcGvJHzBnS66XILrY4wwEn5rkzeu4UggQb5LeomB0gGU0okyo9pvR0R66IZfyI4wHPJT7bXegldHm3gtE6Oxuc/ou4PjySqNwCwG3xhlp0dau3h3Q8jcHB77v/n/70J374wx+yaNGiHtvPOecc3nrrLdrb23n11Vd58803Qz1HjdOQhIQELrnkEoQQHD9+nLVr12K1Whk5ciTjx4/XqlkNIbqVW4JqOh8qelu3EgID4OwVQhztEORbVJI7oCEMDpplmsMk5o2s9+s6YxpkRheVhWraQZMlu6333u8vEEIpurqVW/pJSNI4XfBbcNetW8drr73mdf8DDzzAgw8+GJJJaQwfJEnqahLgcrk4dOgQX375JXa7nVGjRjF27FgiIyNP9TQ1hpAESaFBdS+bRDkEuVZBarvAaoCjMTI7EqGz6oTffW+tJszRbej1/ufwDgaSEOTG2ljXOPAHyoGKrpZ/O/zwW3ArKyspKCjwur+goICKioqQTEpjeKLX6xkzZgxjxozB6XRy4MABPv/8cxwOByNGjGDMmDFacN0ZjyBb57b9LjK00dKgcjxGYk+8jBjAWr/ueDyTJ2z1eYyv1KBQuZNHNQuOxkiojaGJWwhGdDWhHb74Lbjt7e0+e+CaTKau/FwNDYPB0JXb63Q6OXz4MKtWraK1tZXs7GxGjx5NcnKyFnAVIk6lW1lCkCAppOtcxEoK0ZLKJlcY9aqejjT/A5y8ImBku0J6UsPAxxoAOlWQYxV8lSVzKuqxaUI7/AkogueLL77AbDZ73Nfc3ByK+WicgRgMhi7LV1VVSktL2b59O3V1dcTFxTFq1Cjy8vK0VKNhhF4viI9TCR8pUUAHDaqOUsXAfmGg0GCnTu37txRC9HjA8tedLNVEk59ZHXDt41AztkmwP04akKXuCX+sXE1szwwCEtwf/ehHPvdr1opGf8iy3KMxfGNjIwcOHGDbtm2oqkpOTg75+fmkpKRon6cA6W3lOhyt2DqaiDFnDXhsSRLERAviYlWio1ScLommZpmdThO2bqkx2bKTasXzbaX1221EX3xOwNeWy+KY+INtQc/dE87qBgyp/hdyMSrudejd8f73E+53DlYL+ogopH7SBDWxPXPw+9PT2c/T10tRlMGcq8YZSHx8PNOnT+eWW27hxhtvJCUlhV27dvHOO+/w/vvvs3nzZurr6/v0jdXoH5fLxoH9HyNEMIFGgqgolcwMF+PHOhk/1oXZrNLQJLNrr4F9BwzU1Oowb+7ZFi5V56JGPSm4nWUQXU1WGpd91eNYv9ZVHTokRSI6sv/lqs4yj56YN3ZLl0VtP1pJ88ff9n/tbkxoUNkdLxEqM1t12Kn49J0usfVVk/pURqBrhJbhmxSqccZhMBgYMWIEI0a4i8u3t7dTWlrK5s2baWhowGQykZmZSXZ2NqmpqX43ZD9bURQH1pZyqiu3kpYx1eexsiyIjhKYY1SiowWSBK2tEs0WmcoqCVX1R2gEJtQeFi+4Rbfy4EqUxhZcza3oY/2P8JXLY7lp/C6/j/dW4rGTq5PWsfDh1cjn+S9i4U5BjAO2Jofm8yaESsUnb6O0t/p9Tqfoatbu8EYTXI3TloiIiK61XwCbzUZ5eTn79u3jm2++QQhBYmIimZmZpKWlERsbq7mhu6G43OuChw99TmLyeAyGzj64gogIt8BGR6uEmdwd86xWieYWmbIKCSEC/z3GSirNoq97VCguWj/fDICjtBp9rP9lFuWqGAqmlgc0D2+i63IovP/YRqw1HVw21sJ5Y7f4ZWVPalDZmRi6h7vab1ZgPbibqBHjemz3Zy1Xa8c3vNEEV2PYEBYWxsiRIxk50n3DVlWV+vp6KioqWL9+PRaLBUmSSEhIICUlhdTUVBISEoZ1da+BoCh2jEYjSUmxmAwl5OdPpDPRoL1dwtoqUVaux24Hv/rc9UOa7PK4ftuybweuNndbSsfxaiIm+Sm4LSZEpCOo3NveoiuE4PPfbKdiRyMA0cnuh49ON7M34Y12CAwqNIaF5kGueecmGr5bBYDBHFx/Ys3aHb6cnXcijTMCWZZJTk4mOTmZKVPcXVhUVaWhoYHq6mp27dpFQ0MDiqJgMBhISEjoesXHxxMeHn7GWMTGKD1h8UbCm44QNiWb8HCBw5FEwchrqauro6J8N04lE50uiVCIa3c6ayknyAr7lb4NChq3rOn6v6O0use+pSVFXqOVdaXxqDmNQc+ru+h+v/gwOz8u7doXndwzxbH7HLqL7+R6lR0hsm7bjh+i8vN3u342xAQnuJ1o1u7wIyDBVRSFtWvXMmnSJOLiBvZh0dAYDGRZJikpiaSkJCZOnNi13eFw0NjYSH19PYcPH2bz5s20t7cD7oIdMTExmM1mYmJiiI6OJjo6mqioqFOeqiSEwOFw0NraitVqxWq1YrFYGHFlGsZoA5IMCHC0uuhodNDRYKepRsZmk6goP8L+kg+6xqqusVN4zo8HJb3GgEAB1F5i3lFVSkflSaFzHK/GL1SQmsMR46sGPLcj62pYtaBnQFWnheuJTvH9cts5OGWwGgf+C7M31lH+z79Dt+A/TxZuoIUwNNEdXgQkuDqdjssvv5ySkhJNcDWGFUajkdTUVFJTU/vsc7lctLS0YLFYsFgslJaWYrVaaW1txeVy9RknLCwMk8mEyWTCaDRiMBjQ6/Xo9Xp0Oh2yLKPT6bqsZyEEQoge0fxOpxOXy4XT6cRut+NwOLDb7dhsNpxOZ59rRkVFdT0IZGdnU762HrvVCb2Ct5VLi+BErQlFsRMZmUJbWw0JiaNJTZuK09mG0Rj6OtfJsotate/tpKO6nOQfXE3t6k8JS8nE1WRFuFxI/bj5pdpo1BRrSIzxzCkJ/PTDy/jztcVEJphoa7ATldh/W71J9SobU/pat90b0PuL0RzPqPnPcOj13yBUFcXW4dHC1ToJndkE7FKeOHEiR44cIS8vbzDmo6Ex5Oj1euLj4/vtdtRpbXZ0dOBwOLpEslM4HQ4HiqJ0CWv3VCZZlnu8DAYDYWFhGAyGLuE2mUyEh4ej1+v7dXXbW5w+9wNEx2SSln4uWzb9L22ttSSneI/eHQg1U00UyR3sU/qmtsRPmUlHtTvoKbpgInFTZuBwOfsVXLksDmWiu39v7wAoX+k/noKljBF6tr9/DARc+/xUyrc3oDP4dhOv3jyFdKOgw9Dz7xCM2AJIOh2W3ZtxtVlJnnU1st6IwXzy8xas0J5J1u1rr73G//zP/1BVVcX48eNZsGABF154ocdjP/jgA15//XW2b9+O3W5n/PjxPPvss1x++eU9jnv//ff51a9+xeHDhxkxYgTPP/88119//VC8HY8ELLjPP/88jz/+OL/5zW8oKirqU5heq5WrcaYiSVKXZTsciI3Ndf8bl0dlxSZstmbCwmIH4UqCSEmlTXgWMZe1GQBDTCz6iChcYe099vdZx7XrkFTJa7s+X2k/nnDaFHZ8eIz43ChypyWROy3J67FLS4pACC5tVFmT7v/araeewN0RQtC4eQ2SwUjc5OnowiIQQmjNC06wbNkyHnnkEV577TXOP/983njjDebOncvevXvJzu7bx/nbb79l9uzZvPDCC8TGxrJw4UKuueYaNm7c2BXPsWHDBm655RZ+85vfcP311/Phhx9y8803s3btWqZNmzbUbxEIQnCvuOIKAK699toeT+GdZdu04hcaGqcGbwUSOgW3uekIqWmBV3ryRc1UE9GSgtVDOlAnzpZmAAzRsX6NKVfEomQ2D3xyJyj5opwOi5MLHhjr03PQGSyV3SqoiZBw6AKzbn2J59HUSmzVZcRNmYkuLGLAruPhILYtLS09fvb1sPrKK69w33338eMf/xiABQsW8MUXX/D666/z4osv9jl+wYIFPX5+4YUX+Oijj/jkk0+6BHfBggXMnj2bp556CoCnnnqKb775hgULFrBkyZKBvr2gCFhwv/7668GYh4aGxiARG+te/mluOhpywQVIlV1UqT4E94SFq4+J9Ws8uSoG1/RjA58YbkNg89IjGMJ1TLymr6XUSafYSkIwukmwKrNv8Q5v+COebV+675ujwqYROYzE9v39hcgR/a93d0dttwGfkpXVs6ToM888w7PPPtvneIfDwZYtW3jyySd7bJ8zZw7r16/375qqitVq7bEstGHDBh599NEex11++eV9xHooCVhwL7744sGYh4aGxgDwVf7PFGYmPDye5qajIb1mpws1WVY44uybDtRJl0s52nPjk+5ILWGIKAfoQlPKs3JXE9V7mznn5jzCoj1HnHdPAxphERyLllDkk9ZtsOu2ndhszdTX7SU+oYDIyOQBjTUcLNtOysrKeiwxerNu6+vrURSFlJSUHttTUlKorvYvqv3ll1+mra2Nm2++uWtbdXX1gMYcDIJKMFuzZg133HEHM2fO7OqB+49//IO1a9eGdHIaGhqhISl5ItExGaiq53XRYNGdCJNWfIQTS3oDxvhkZIN3Ue5EPh43oNzb3iTkRTP7iUlMvTXf4/7uYqtTBXktgkOx/outP9at0RjN2PE3k5t3iZ+z9sxwEltwx/N0f/UX+9Db3d+7u5Q3lixZwrPPPsuyZctITu75QBPsmINFwBbu+++/z5133sntt9/O1q1bsbvL1GC1WnnhhRdYsWJFyCepoaExMEaMuiKk43Vat4myQp0PdzJA+txb/BtUBaklHGEeeO5tJ2HRBs69fYTHfb2rS41uEhyMDX37PVnWkZI6OaRj9kbSSTBMw2cSExPR6XR9LM/a2to+Fmpvli1bxn333cfy5cu57LLLeuxLTU0NaszBJGAL97e//S1//vOf+etf/9qjKMDMmTPZunVrSCenoaFx+tE9GjdNdlHtIf82UJaWFCHVxKCmtIS6EJZXukdGGxRBepvbnTwcyZl16kRkoBiNRoqKiiguLu6xvbi4mJkzZ3o9b8mSJdx999288847XHXVVX32z5gxo8+YX375pc8xB5uABXf//v1cdNFFfbbHxMRoTeg1NM4yYiSFFi/pQIFSvicfNas5JGMFyvhGlb0e2u/ZCtu9nOHGVypQqPG2Tp843oyqBNOC8fThscce4//+7/948803KSkp4dFHH6W0tJQHHngAcEcY33XXXV3HL1myhLvuuouXX36Z6dOnU11dTXV1NRaLpeuYhx9+mC+//JKXXnqJffv28dJLL/HVV1/xyCOPDPXb6yLgb0paWhqHDh3qs33t2rXk53teJ9HQ0Dgz6C4wEXTm3g7cKjS5hHsUU2jXmP0hzCWIs0Fl5Olv3fYW3fBEE8mTzJSurj1FMwoNt9xyCwsWLOC5556jsLCQb7/9lhUrVpCTkwNAVVUVpaUnS4S+8cYbuFwu5s+fT1paWtfr4Ycf7jpm5syZLF26lIULFzJp0iQWLVrEsmXLTlkOLoAkAuzs/bvf/Y6///3vvPnmm8yePZsVK1Zw/PhxHn30Uf7rv/6Lhx56aLDmGhJaWlowm81YLBatSIfGsGW2fFOfbYPdqLy3NZevc2AXEhVq4PWme1uOYxpV2gxQFi17bWYwWBz5upAjZpn6cM+C60+Usq/gKW9W8ECrS8kGmXHzstn/QTkdrR2s5qOQ3dc675O5b/4yqLSgY/f+VrvHeiDgxZcnnngCi8XCrFmzsNlsXHTRRZhMJh5//PHTXmw1NDRCR4rsYrPTexOAQMhsO5n76quDUMhpMxKm4FVsg8FfN3PncYEKb2fDgpFXpVH6bS3OtqH3CmgER1DRDs8//zxPP/00e/fuRVVVxo0bR1RU6Auia2hoDJwWSxkx5qz+D/RBbxGREOgAZ4DuZFebFX1kdI9tsTZBsxHUbuunnRHEgy28un0ppJ9XAhXey0XaCtv7tXKHci0XIHVqPG21dlqO+15j1ji9CDraISIigpSUFNLT0zWx1dA4TbHbrRw98tWAxvAkJgmSQkM/6UC9EUJQ9cV7fdzJIy0qh82hCbzyF1uLg8pv20ESEBOaDj0pm+09Xv6eE2hutLlkL+bcSCrW1wczTY1TSMCfcpfLxa9+9Su3fz83l5ycHMxmM7/85S/7tBXT0NA4tViaj9HYcBCH3RrwuTVTTV4tt1Rd4OlAzTu+o+3YgR7bJCGIdUBTWF9LebCs29YGG4t/vJaEtnyUMTV+Xau/aGXo+2DSW4B7v5K/t1FdtY2qSv/fp2n9dnIvS+HQJxVd24rV5XxkecvvMTROHQG7lB966CE+/PBDfve73zFjxgzAXbPy2Wefpb6+nj//+c8hn6SGhkZwuMs5CmpqdpCVfYHf5/XnIo2TFHYL/92ojqZ6qld+hGTqaRVntgrKByk62FMbv+NlTqbeXUeMLpGwFBARJ42EeWO39CmG0R1/XMv+YrNZOLDvQ5oaDzPjgv/s9/jOQKmRN2dx9MtqFLs7DahYXR6S+WgMDQEL7pIlS1i6dClz587t2jZp0iSys7OZN2+eJrgaGqcI3cotfSKVm5vd9ZNrqrb7Lbj9ia0JFTv+pwMJVaXiX0sQTgdyRM/lp7wW4bHJeyDWra/+uN3Zd9DB5fMqaKx0cf0DNyHG1/l9jVAhhKCq8nsOHViBothJTSvCaPS+JNe9nGPWhUk0HWylrdqmCe0wJWDBDQsLIzc3t8/23NxcjMb+a6VqaGgMDU5nB22tbpep1VpBW1ttv8Xz/Qn+SZVdVCv+r982bPqajvITjRN0J8U1zOXOSLTrewq3v2Lrr9ACbNlh48rbKqlvVCgoKCA1ugph6mutDtTKrZlq8rp+29HRyP6SD2hqPNy1LTO7b9UjTzWTzXmRmOKM/G31/57SWsAaAyPgNdz58+fzm9/8pquGMoDdbuf555/X0oI0NE4jLM3HgJNp9jVV23we72+kbYpOocbP9VtbbSW1337e9bOkPynUeS2CIzHBiUcgYvvthg4uvbGC+kYFSZKYPn06504s8TrGYKwd2+0t7Nv7fo+OTebYPKKj0wG3yHa+emOM1pN1QRJ/XP4/mtgOcwIW3G3btvHpp5+SmZnJZZddxmWXXUZmZiaffPIJO3bs4IYbbuh6aWhonDqam491uSsjIpKoq9uLEAMtASi6uZT7p6OqjISpF7p/kKQegpvRKqiIGnwBmTrZxMdvpSNJMHHiRPbv38dF0wZe/zkQTKYYCsZch0530guY3ZziVWQ7kWQYeU0Gv3zlyR616zWGJwELbmxsLP/2b//G1VdfTVZWFllZWVx99dXccMMNmM3mHi9/eO2118jLyyMsLIyioiLWrFnj9di1a9dy/vnnk5CQQHh4OGPGjOEPf/hDoG9BQ+OsICFhNIVFPwEgKXk850y9H1UdWEuZOEmlSfjvTo6bPA1deCQAGdfcjqnA3QQ+3iZoNuGxM48vl24nv6r1njfbm4gImT+80YQs67jlxvOQ1T2YY3Rex/Dn+oHicLSxa/vfURQHI0bOxRQWS/wlV6NcWuSzQljuZanUbGtiXtIDHquLaQwvAn7MW7hwYcguvmzZMh555BFee+01zj//fN544w3mzp3L3r17yc7O7nN8ZGQkDz30EJMmTSIyMpK1a9dy//33ExkZyU9/+tOQzUtDYzjS+8YdF5/flQ7kctkxGAYeYetevw3sttGyfyeyKZyY0ZOIkSZjx84Ii8ohH7m3/hS+6C6YvlzMX65u4+Mv2njgxxdy5cWl3DwnKWixDaY/rqq62L3zbTo6Ghk99nrSM84jOiYDWT754NL5t+tu7SaMdZdFbChp6do2W75JC5gaxgytX6UXr7zyCvfddx8//vGPAViwYAFffPEFr7/+Oi+++GKf46dMmcKUKVO6fs7NzeWDDz5gzZo1muBqaHhAp3fXwVUUW0jGS5AV9in+B0c6LI3Yqsswj5+KpHPfbiK2h2NOaPWYe9sbf8s8ehNQxanyf0+vIibayJTCsUwYuZpn6qd4PHYwxFYIwf6Sf2JpPkpm9vmkZ5wHQFy85x69ncIbuW0XKVPiKFl6vM8xnZauJrzDj6Et79INh8PBli1bmDNnTo/tc+bMYf369X6NsW3bNtavX8/FF1/s9Ri73U5LS0uPl4bGmYY3t6Qs65EkGZfLd+UjfwKmDAhcgAignKN1/y4AYkZP6tqWJruobjb5ndO6tKQoaDfvlmVHaDhi5Yf3X0PpSDvP1I/3eo2B4C0yuez4GqqrtpCQOJqRo670ayxZFoy4czT7mxLwteQ+W75JczMPM06Z4NbX16MoCikpPRsnp6SkUF1d7fPczMxMTCYTU6dOZf78+V0WsidefPHFHuvKWVkDqymroTGckCQJnd7Ur+D6Q7LsojbA6lItB3YiGYxE5hV0bcvWOSk94ZYOpJBEoKJob3Wy5s/7SMlLIDsvG5Hq+WHbn3F9zdNXGUeDMZLo6AzGTZiHJPlzuxWMHOGitEyPwyH1u8YLnjtHaZyenDLB7aR3mLsQot/Q9zVr1rB582b+/Oc/s2DBApYsWeL12KeeegqLxdL1KisrC8m8NTROF/q7Iet1YSFxKacFuH6rulyoDjvRI8YiG9xuaBMqAnB0u/UEKrr+Cq8pysC/vTyNW352LWJMncc6HYMptgBp6UUUnfcger1/Le5SU1RsNolmS89bc39/4+vMd/ncr3F6EJI13ObmZmJjYwM6JzExEZ1O18eara2t7WP19iYvLw9wh/jX1NTw7LPPcuutt3o81mQyYTINbScPDY3TiQmT7kCnG2hKiSBCUmkP4Bld1usZce/jqC4nKZvt1Ew1kaNzclwJfi6B5sjmTkxHv8uMK7HvWuhAxdZf/LNsISpSJT5OZe++UxpaozGIBGzhvvTSSyxbtqzr55tvvpmEhAQyMjLYsWOH3+MYjUaKioooLi7usb24uJiZM/tWX/GGEKJHEQ4NjbMJf5rOR8ekExGZ5POY/iy1GEnFEkA6UHdkveHEGrFwRzn3ckv31xhg3tgtXa9A0e1L6WpQ0MlA1oQHC71OkJ/n4sAhPf6WzNQYfgQsuG+88UbXOmhxcTHFxcV89tlnzJ07l//4j/8IaKzHHnuM//u//+PNN9+kpKSERx99lNLSUh544AHA7Q6+666TrpL//d//5ZNPPuHgwYMcPHiQhQsX8vvf/5477rgj0LehoaHRC1+i21soA2lB10nsCdHuHnTlS2yDFdkuWkygSgjzSXd6qIU2NH1wBaNGujh6TI/LpYntmUzAvouqqqouwf3000+5+eabmTNnDrm5uUybNi2gsW655RYaGhp47rnnqKqqYsKECaxYsYKcnJyua5WWlnYdr6oqTz31FEePHkWv1zNixAj++7//m/vvvz/Qt6GhMezxx7oNFG8imjnWiXW/IKVX4YxOV7E/5OkcHO6WUuRNbENVWlG3LxVlXBUQnNCGqjNQf2RlKFgsMtbWUx5SozHIBCy4cXFxlJWVkZWVxeeff85vf/tbwO3aVZTAq9g8+OCDPPjggx73LVq0qMfPP//5z/n5z38e8DU0NM40BkNsvSHL7nrMqurZ+vJHdGUEUZJKywm39GCLrdQYASYXRDkGXWx9NSzoD7NZJSJSsP9AcO56jeFFwIJ7ww03cNtttzFq1CgaGhq62vRt376dkSNHhnyCGhoap5ZYs0qzxbersz/RTZNdVKnuYClPYhvShgECdPuTeS8qHltJasCnD5VlazQIcrJc7N5roL91W1/1ljWGDwH7MP7whz/w0EMPMW7cOIqLi4mKchdHr6qq8mqpamhonBpCkX8bFydobOr/VuHLynPn3hqwFbYj1IE2UPCNVBvFbmcsNn3g66HBim3ga7mCglEuDh3We/UcaJx5BGzhGgwGHn/88T7bH3nkkVDMR0NDI4QcPfwlo0ZfM6AxIsJVOjqCd3mGoaICDiTatx1AnxKHMd131HSwLN17DpeVqezJ6P8BwVnTiCElvse2Tut7sK3cvFyFmlqZ9g5t3fZsIqi/9j/+8Q8uuOAC0tPTOX7cnd+2YMECPvroo5BOTkNDY2BUVnzfowdroISZBDabhD+pKt6svM7cW6fVQt0f30c2+V+L2V86U31yrYLKSAmnzvt8hRA0LivGtr9vbm4ntsL2ftOVeuOvlZsQryDLUFevo9VaRV3tnoCu44mPLG8NeAyNwSdgwX399dd57LHHmDt3Ls3NzV2BUrGxsSxYsCDU89PQ0PCAP2t6LpcdVXVy+NDnCCH6Pd4TcXEqTc393ya8i40gRXZR7ZKp+PQdlI425PC+xwYT2NQpsp3nSkIwqlmwP86H2Koq9X/7mOYPvyFsbG6/1wi16IaFCdLTFA4dhmNHv2bL968THZPp8xxff+tidbnWxGAYEbDg/ulPf+Kvf/0rTz/9NDrdSTfT1KlT2bVrV0gnp6GhETwOh7s1X4ullPq6kqDGiIv1T3C9ni+pNAsddd+tov34QQCkMM8Wrj+i21tkuzOyWXA0RkKRPQuucLqofXUZ1q++R58UiyEpzq/3ECrRlWVBwQgn23da2PL9Gxw9/CXxCQWEhfnXO7w7mtAOTwL+Jh09erRHi7xOTCYTbW1tIZmUhobGwHE4Wrv+f+TwFwhfrWc8IEkCWQZF8e1O9mXV5ekclJTXULfmC/eYBiOS3H8fXE/bfQmyThXkWgWHzZ7nqtrsVP/uH7RtdLtvw8bleR3LE4GKridG5LnYum0fa7/5I9aWcgAyMqcHPI4mtMOXgIOm8vLy2L59e1dxik4+++wzxo0bF7KJaWho+Ea3covPfFyH/aTgtrfVUl21lbT0qX6PHxMtsLQEL7YyggjhZM8Hf6ezz5zO6H80byBu5jFNbley8ND4RGlpo/qlf2A/XN61LTxAwQW36PobTNU7NzchrpXS43tZ8+2HJ+cQkUhcfL7Pcbq7kzWhHf4ELLj/8R//wfz587HZbAgh2LRpE0uWLOHFF1/k//7v/wZjjhoaGkHQ6VIG0BvCOXb0a5JTJvvdyCA+TqWuPnh3crrs4sDhoxhjE3G1NAMgG/vvmhOI0IZtj8CAIDWhlT3xnufqqmsmcsYE7EfK4cRSdtjYwAUXAhPdTiIjVFJTjWwqz8VgiMDpdFvLGRnT/G5soIntmUHAgnvPPffgcrl44oknaG9v57bbbiMjI4NXX32VefPmDcYcNTQ0PNBftSmXy8aogqs5eOBfxMWNYMy4GwNyK0dFqRw9Hnw6ULbOyfe5k4hpbKW99BCxhdOx1/nudR0IncI3Rm/nYFM4ZDk8HmcakUHb93tBwKiLUzm6x4Yh2b/1W2/X9BedTjAi38XefXqOH/0ap7Od2Lh8WixlpKb3/2ChXFrEquIng5qrxulHUH2gfvKTn/CTn/yE+vp6VFUlOTk51PPS0NAYIFnZF6DTGais+B5rSwV6vf/uXINB4HD0nw7krcJUGCoK4ETCsmcLksFI6iXX4Wprwbg9YsBrop3CF4ZKjKSyS9UDngXXWVVP86drMeam4br/Z8Rv2hv09fzF7U4WFIx0cey4niOH11FTvZ3ExLGMn3Q7ZaVrMBjCA56HxtBRXl5ObGxsV3GnTpxOJxs2bOCiiy4KeMwBZV0nJiZqYquhcQrwp5Zyp+s4OiYDm60Jp8P/oMZ4P9OBvJGrc3JcMeJobqCj4hgxBROQjSaMcaEteDFOb2evy/uDhBCC+r+vAJdC4j1XI8kyUdMn+D1+2PaIIMUWMtIVWqwSx44d4vDBz4iITGbshJuRZR3ZORcHNKbG0FFVVcV5551HTk4OsbGx/OhHP6K19WQ8RGNjI7NmzQpqbL8s3ClTpiB5CEbwxNatW4OaiIaGxuAQHZNBddVWrNYK4hMK/DonLlbl8BH/HGB9rVx37u1+pxHLXvf9IGZc6JstREkKBknQ5KNPb/vW/XRsP0DUhYWEjc7xelxvBlppKiZaJTpKsHW7hT27lqDXm5g4+U70evcatr/3U39xuVwhHe9s5sknn0Sn07Fx40aam5t56qmn+MEPfkBxcTFxce6liGDz2v36Rv3whz8ManANDY1TT3R0BgAtLf4KrsCgFziD7M0aLyk0Ch2qAMueLegioojK63ndsBC4lcfrHT6tW9XhpOHv/0IKNxF/2+V+jzsQsU3ZbMdgEOTmuNhTYqCyfBMul53JU+4mIiIx6HF9oaoqn3766aCMfTby1Vdf8eGHHzJ1qjui/8ILL+SWW27hkksuYeXKlUDwD0x+Ce4zzzwT1OAaGhqnnqjoNCRJprWlwq/jo6NEwL1Zu1u5eTonBxQjjsZaHA21xBddgCSHtv1crKTgEmD1Yd2iqkQUjcGQFIc+LtqvcQcqtp3rtoeO6FEUiRGjriApeTzmWP+t60AQQvDJJ59QUOCf50KjfywWS5clC+4aE++99x433XQTs2bNYvHixUGPHfAizffff8/GjRv7bN+4cSObN28OeiIaGhqDg05nZNToa8nInunX8fFxKo1Brt/qEERIKlahw5SQwsgHnibhvODWu3wxJqG9h3XryVqWw0wk/ugqzFf6974HLraQm61QVy/T3u7+/UmSPGCxvWT2f3vcLoTgiy++IDMzU6uBEELy8/PZuXNnj216vZ7ly5eTn5/P1VdfHfTYAX+r5s+fT1lZWZ/tFRUVzJ8/P+iJaGhoDB4ZmdOIi/NdZKGT6GhBSz8FL3rTad2myy4q1JN5vsbYBAzm4FJwvJHSptJihKZCW1BNBrwx0LHi4xQMBkFtXeibyc+Wb2K2fFOPbatXryYmJoaiotCvj5/NzJ07l7/85S99tneKbmFhYdBjByy4e/fu5ZxzzumzfcqUKezdG3i4vYaGxumDXidw9yPxX3C7B0xl6ZyUKf4V1gjKohSCCY2C3QmD19YuUNFN2WzHZBJkpCsc8jPQLFA6o9I7RXfDhg0AzJzpn/Wu4T/PP/88y5d7LjSi1+v54IMPOHLkSFBjB/zpMJlM1NTUkJ/f82m5qqoKvX5wPmwaGhpDQ2yAzQq6i204Ki4knAGIdaBktQpqIiQcPtrvhYJA+uJKkqBgpJODhwwIMfjN5O8o+imRKSb+/K8/Dvq1zkb0ej0xMTFe9+t0uj6ljf0eO9ATZs+ezVNPPcVHH32E2ezuctHc3Mz/9//9f8yePTuoSWhoaARGZ41df/JxAyE+TuV4qX+3hd4FLzr73gZCINHKkhCMaRJ8nTl0Tdv9KeU4Is9FZZUOm33wxTZxXAzRWREc+riCObqbtZKPg4iiKCxatIiVK1dSW1uLqvas0rZq1aqAxwz4k/vyyy9TVlZGTk4Os2bNYtasWeTl5VFdXc3LL78c8AQ0NDSCR7dyi1+9cf1DENZqwe4Iptm8O/e2Vg39+mUn+RbB8WgJl5f2e4OFrweCbNmJokg0NPr/voP9e8WNjCJhTAyHPjkZbe5pbXe48tprr5GXl0dYWBhFRUWsWbPG67FVVVXcdtttjB49GlmWeeSRRzwe19zczPz580lLSyMsLIyxY8eyYsUKv+bz8MMP8/DDD6MoChMmTGDy5Mk9XsEQsIWbkZHBzp07efvtt9mxYwfh4eHcc8893HrrrRgMgT3damhohAZfnYNUVUH2Iy0neuce2nX9Bzh5KuWYICk0CB0iCHeyP1aurAryWwRfZQ2dddsdT5ZujKQwqtXO7uOBL6X11+mpN+YYldSiePa9V9bVgKE715nvCngOpxPLli3jkUce4bXXXuP888/njTfeYO7cuezdu5fs7Ow+x9vtdpKSknj66af5wx/+4HFMh8PB7NmzSU5O5r333iMzM5OysjKio/1LEVu6dCnvvvsuV1555YDeW3cC/qS0tbURGRnJT3/605BNQkNDY+B4czNXlG8gK/uCfs+Nm5FA0yErBNFIJ1fnZL/iubG8p3rLqtOBbPB8vCdGNwsOxnpuvxcsQlGQdMFZ5HoEU/Q29h/UE0iAWXfrVrdyC44fTESn8/17iIpSycpU2P/nMoQSXIWj051XXnmF++67jx//+McALFiwgC+++ILXX3+dF198sc/xubm5vPrqqwC8+eabHsd88803aWxsZP369V3GYCBrr0ajkZEjRwb6VnwS8ONiSkoK9957L2vXrg3pRDQ0NEKP3d7C8aNfo6qK12M6RSAmJxLL8fZ+XZ7d+7xCZ+6toPVEEYqUzfYer97Uf7cKe0Ot3+/BoAgyWgXHokMnto7Kelq+6FtPwBs9rVvBOQYbVXtknE7/5uTJ9W8VzVR8/a7PZYGIcJX8HBcH/rIb1eldbD+yvOXXPIaSlpaWHi+7ve9nAdyW6JYtW5gzZ06P7XPmzGH9+vVBX//jjz9mxowZzJ8/n5SUFCZMmMALL7yAonj/LnTnF7/4Ba+++mrQZRw9EbCFu2TJEhYtWsSll15KTk4O9957L3fddRfp6ekhm5SGhkZoaG46gtPZTlPjIRISR/fZ33mjlw0SqPhtQXW3Wscd76BFhpQazzfUzuOEENR+8y+atq0n4bwfdO3vz508rlFlb7wEIbJubftLqf79YpIeuCGo80fqnFhUGUtL/8d6E1KLaGAbaxlLkcdjlUuLCDMJRo5wceCve1Hs3tsqFqvLaWnxYzJBYNoVgc7Ufw/j7ih2tx2XlZXVY/szzzzDs88+2+f4+vp6FEUhJSWlx/aUlBSqq4Nv53jkyBFWrVrF7bffzooVKzh48CDz58/H5XLxX//1Xx7PueGGnp+JVatW8dlnnzF+/Pg+S6YffPBBwHMKWHCvueYarrnmGhoaGnjrrbdYtGgRv/rVr7j88su59957ufbaa7X0IA2N04SmxsMA1Nbs6CO43W/w5txImo+19tjX3xpjp/WaNFZl3wHf33mhqlQXf0DTtvVEjRiLJPvnXAtzCRJssCMxNGLbtmkvtX96F6GqhI/zz3fe3bqNl1wkyi6ObpDpz5XsTWwbRS07WIeCQiwJHo8J37iDghsyObCwAme7Z4vsdI9QLisr65FeYzL5bg/Zuz6xEGJATR46W8f+5S9/QafTUVRURGVlJf/zP//jVXA7M286uf7664O+vieCVsaEhAQeffRRHn30Uf70pz/xH//xH6xYsYLExEQeeOABnnzySSIiBtZxQ0NDI3A6xVIIQVPjIQDqavdSMMbZ1bKvtxjEjYymalODx3F8YTIKXAooiucbY81UE0JRqPj0HVpKtgEQkeVfxSuAiQ0qOxPlkFi3li++o2HRv0AIwkbnIIf33x+4u9gaUZmot7PeGUG8l9674DsKuV5UsZMNqKiEE4lJ6tsTVx+uo+D6TA59Womjxdln/+kutJ3ExMT4zGftJDExEZ1O18eara2t7WP1BkJaWhoGgwFdt3X6sWPHUl1djcPhwGjsu3a+cOHCoK/nD0GH/FVXV/O73/2OsWPH8uSTT3LjjTeycuVK/vCHP/Dhhx9qHYY0NE4xto4mbLZmABTFTmPDQcCzIIQnmOho8C4i3khJVqip8R54pDodlH3wZpfYAkRkjTg5Rx/u5CiHINwF9eEDE1uhqjS8/QUNCz+FE+tx4ZNG9HNWn1GYarCxwxVG/GbPv6f+UrRqRDk7WI+K2z1s9mDd6owyo/8tiyNfVGFr7Hud4SK2gWA0GikqKqK4uLjH9uLi4gFV0jr//PM5dOhQj/zZAwcOkJaW5lFsvVFXV8fatWtZt24ddXV1Qc8HgrBwP/jgAxYuXMgXX3zBuHHjmD9/PnfccQexsbFdxxQWFjJlypQBTUxDQ2NgNDUd6vFzbc1OUnd19DkuLM6Ircnz+qtvK1cQG6tSWu5ZcGummmja/C1Kx8nG95LeQHhqpl/zn9SgsiNx4GlAHXuO4Kyud1vJXYI7yuc5vVOAxukcVKl6moWOFPr2nu0v0KxdWKnkGDI6lBPnx9KzXZ+slxj9b1mUfl1De23Pv8eZKLTdeeyxx7jzzjuZOnUqM2bM4C9/+QulpaU88MADADz11FNUVFTw1lsng8O2b98OQGtrK3V1dWzfvh2j0djVyOFnP/sZf/rTn3j44Yf5+c9/zsGDB3nhhRf493//d7/m1NbWxs9//nPeeuutLtHW6XTcdddd/OlPfwrKgxuw4N5zzz3MmzePdevWce6553o8Jj8/n6effjrgyWhoaIQG3cottGZUkZ45jcryjSSnTEKuaUJBQSf1FMjYEVE0HWr1MpJ3YqIFLS191zK7pwAlTL0IV0szHZWl6COjMSamIun6v+3E2gQCsJgG7kqOmDgSpbGF9u9L0JkjEU4FU77nIE9PVaVSZBcRkspeV7jHqGu/5iBFM1oUsoEvMRKGA1uP9VtJlii4PpOK7+qxVvR8KDrTxRbglltuoaGhgeeee46qqiomTJjAihUrutJ4qqqqKC0t7XFOd6Nuy5YtvPPOO+Tk5HDs2DHAHbT15Zdf8uijjzJp0iQyMjJ4+OGH+c///E+/5vTYY4/xzTff8Mknn3D++ecDsHbtWv793/+dX/ziF7z++usBv8+ABbeqqqpfZQ8PD9d66GponGJGl6fTQRuVQGSNgxHSeR6Pi82L5OBH/vXK7U5qikJpec9bSO98W3tDLQ2bvyUsNYuMa+/AenCXX2NPblDZnByaIheKtZ2GxZ+jM0eR8fwDNH+6zmP+rSexDUdltM7OOmdE0GLbySF2IVCZyDRqqSCSE+ubEoy6LoPaHc1Yjrb5HuQM5sEHH+TBBx/0uG/RokV9tvmTrjNjxgy+++67oObz/vvv89577/GDH/yga9uVV15JeHg4N998c1CC6/cnurKykscffxyXq687xWKx8B//8R/U1NQEPAENDY3BQZZkdLiFRcFzpKskS8h6CcXhPe3E49iywGgEm81tgdZMNfURWyEE1Sv/CapK6uzrMcUnkXDuD3oc40nkktsFbXpoM4QmMrnx7c9Rre0k3DUXfWIsCXdc0WcOnuYhI5hq6GCrKwxlgA0ZmkQdtVSQTAZxUhIFTO6KwB1xVTpNh6w0HrAO6BoaoaW9vd1j0FZycjLt7cG1cfRbcF955RVaWlo8Rp2ZzWasViuvvPJKUJPQ0NAYHOQTgqt6EdyY7AhaSgO/eSQmqNQ3uG8fnko9ArQe3kvbkX2Yx08lIiMXoP90ICGY0KCyK0Tt9zpKjmFdvZXwiSOInDnJPQf9SevWV2OCSXo7RxQjrUI3IOtWCMF+diAjM4oTczghtrmzU2mr6qBulyXo8TUGhxkzZvDMM89gs9m6tnV0dPDrX/+aGTNmBDWm3y7lzz//nD//+c9e999111385Cc/4aWXXgpqIhoaGqGnPws3bmRUUDf7pESVbyMjcWV5tvxUl4ualR8hG00k/+Aqv8fNaBM0hIFdP3DrVrhc1P/tYySDnsT7ru2R09lfB6BM2YkAKtSB14ev5BitNJPLaMKlyK7tWRcl4Wp3Ub2lacDX0Ag9CxYsYO7cuWRmZjJ5stsjsX37dkwmE19++WVQY/otuEePHvVYRLqTzMzMrsVqDQ2N04P+LNzIlDCOfeV9KchThLLJJHC5wOXDzWqvr0bpaCdx5mUYos1ej+uBEIxtFKzOCI1162poAUUl9vqLMaSeDFDqT2yjJYU8nZO1TneO7EDXbhupwUgYuYzp2pY+LQHZIHP8W20Z7nRl4sSJHDx4kMWLF7Nv3z6EEMybN4/bb7+d8PC++dP+4LfghoeHc+zYMa+ie+zYsaAnoaGhMThIkkSUMGOkb3k+Y5QeR2vfmIz+SElW2BcXBj6WfcNTMxlx/1PIhv6LS3SS1yIoj5Jwhai5vCElnoyX5iOdaOfnTzN5HYJz9DY2OsOD6nzkiQlMw04HesltLSdPjiUswciRFVUhGV9jcHjxxRdJSUnhJz/5SY/tb775JnV1dX5HO3fH70fJadOm8Y9//MPr/rfeeovzzvMcBamhoXHqmC7NZrRU2Gd77Igomg4Hmg4kiDWrfvW91YdHIvtR5jVsewSyEIy0CA7EhrbXrWw0IOn1foktJ8R2r2LCFnxNoD5IkkSY5L5+wtgYzLmRmtgOA9544w3GjBnTZ/v48eN9Lq/6wu9P1eOPP87ChQt5/PHHe0Qj19TU8Itf/IJFixbx+OOPBzUJDQ2NoSd2RBTNAQquOUZgaZFJ8VJtKVjG7TZw2CyhDnFz+e7k65y0Cpk61Xeqkyf86W0bOyKKxPHmHg3kNU5fqqurSUtL67M9KSmJqqrgHpj8FtxZs2bxv//7v/y///f/SE9PJy4ujvj4eNLT0/nf//1f/vSnP3HJJZcENQkNDY0hRgJ9mA5Xh3+tyjrpr5RjMOgRZMhOqo5G9n/wIBEnKaTKLkq89PT1B1+iG5MVQdq58Rz4sBwRWAaWxikiKyuLdevW9dm+bt26oLvjBVT44v777+fqq6/m3Xff5dChQwghKCgo4MYbbyQz079ybRoaGqeeqPRwWiv7lnn0RVfurT20VugonYODihGBRNj2iH7b9YUaA4JJehsbnBF46wBUM9XkV/CUcmlRnzKPkalhZF2URMm7Z24D+TORH//4xzzyyCM4nc4uY3LlypU88cQT/OIXvwhqzIArTWVkZPDoo48GdTENDY3Tg7iRUTQd8l1oobfFlpSoUlfv3SnWnyB5cs0aUUmUXZQ4T66xBiK688ZuYWlJ/+5c77iLW+x0heEIUZBUd8ITjOTNTmXf8jJUp2baDieeeOIJGhsbefDBB3E43EsoYWFh/Od//idPPfVUUGP65VL++OOPcTr7tonyxooVK+joCOzpWUNDw3+US4v8Wjf0RnRGRJ+avf2RmNBTcFM223u8gmGs3kGJy0Rvy9K/ICc388b6bhzgizE6B7WqnibRv5vcn7VcOPmgYjIbGHFVOvs/KMdlC8x1r3HqkSSJl156ibq6Or777jt27NhBY2Oj1166/uCX4F5//fU0Nzf7Pei8efOCXlTW0NAILY2itsfP+nAdik2BALybJpPA6QJVDd4K7C3K4ahESir1wrOjLRDRDYYk2UW0rHJYGXhxi97IV5zDqOsyOPhRBc62wFOvNE4foqKiOPfcc5kwYQImk/9pbp7wy6UshODuu+/2+2LdS2FpaGicOlShsp/tTBezuyotxeZH0nyk/+jk7q35UkMQLNXdQnQ01VGUFMUel+97SijWdD0JdxgqY9QW1rliwM/IaH+teL1eMHa0kwOH4+iYmuCzdZ9D2BGoHhvRw9nRKehswi/B/dGPfhTQoLfffrvHmssaGhqhxVOQTndaaKSNFiw0drWDixsRzfGvA6lwJDCbVY6XBS+4nWIrhKB5x3eYWurQXTobix+uXF+i29/6rSexlRBM7qjmszVriZpzc7/XD8RdrtO5xfbIUT0dHW4Hore/kUU0sJctTOPSPvs0oT0z8UtwFy5cONjz0NDQGAQacAtrLeVdgmuM1uOw+ufm1K3cQtT1U7BY+va99ZdOsVXsNqo+X05LyTbufOSJfq3b7gRj6XoSW9XlYmTVHjZt34wze3y/YwQitpIkGDvaxfFSPa1tPVfruouuEIJyDnOAHaSSjdytP7EmtGc2oSunoqGhcdrReEJwayhHCEFEsom22sCWfNKUWqprB+ZO7qgu58jCl2kp2UZW/kjUyBjaxODdfjyJrdPShHHdx7gaathTUkJ0wUSv5wcaCNYpthWVOlqsnt+XcmkRinCxh+/Zz3YEghSyuvZrYnvmE3BakIaGxvDAKRxYaATATgctNJE5soCmQ/5Xl5INMvoIHa6lWyGIqOjqIiNNm9dQ8/XHCMUdqTtrzuXsVvrWdu4Pf61cT2LbeuwA7d98wrRLZ7FkyRIicwvQh/cttBFctLWgYKSL2jqZpmbvDxHtbXXsjtxAW5v7IciAkXiSNaE9i9AsXA2NYY639KAm6nr8XEt5wP1vE8fF0LC3BcDnWrEnaqaaaN7xHfXfrewS2/z8fFrDooOuVdxf5LKn/W2lh6j9cjlzL7uETz75BEVRMI8p7HFM8KlNgpH5LpotMvUN3r0Ato4m9u5eRlvbyYjxu3/yI1aK94O4psZwRRNcDY0zlEZqiMQdvBiFmRZjI0IRAVU7ShwbQ31J8M3R4wpnEDt5OuDOa7zgB7M4ZEoMerxgiMweyfV33cf69euxWCwg64gumAAMRGjd5OUotHfI1PTjcg8Lj2PC5DvQ60+uW99yyy1BX1djeBKw4B49enQw5qGhoREAq4qfZFXxk4B3yzOLkUzA3cErmQxm5c6l+Zj/7uSwOCOONheq86RAB2rlth07SP26YsJSMjnvupupsgtc0tA+52crVmr27uBoWTnpV91KVF4BujC3JexvMQtPZGW6UFSorOp/fVsIlZLd7+Jy2RjHVMKJ5IXLXmO2fFPQ19cYfgT8yR85ciSzZs1i8eLFIcm3fe2118jLyyMsLIyioiLWrFnj9dgPPviA2bNnk5SURExMDDNmzOCLL74Y8Bw0NIYrnaLriUgppqsBvUAlcVQszYfa/B47eXIstTuag56bq81KxSeLkY1Gsn54J+eMH0eZeWA11wONVDbjIrGpgq+LvyR19g3ETjyXlEuu63FMMKKbnqpg0EOpn6lSpce/pbn5KJmMIF3KpZALkE88eGiie/YQsODu2LGDKVOm8Itf/ILU1FTuv/9+Nm3aFNTFly1bxiOPPMLTTz/Ntm3buPDCC5k7dy6lpaUej//222+ZPXs2K1asYMuWLcyaNYtrrrmGbdu2BXV9DY0zgWJ1udfAG/nEV1xFJTzOiK3J/7Z6MVme13v9sXKFUKn45G1cbVbS5t7M6EQzpZiQY2L9vn5v/BHb7scYEExw1PHBO4uJHj0J84SpAJgSkoOeA0BykkJkpMqRYzr8SZVqaSnn6OFiIolhFJMAiJSiexwzW75JE96zgIAFd8KECbzyyitUVFSwcOFCqqurueCCCxg/fjyvvPIKdXV1/Q9ygldeeYX77ruPH//4x4wdO5YFCxaQlZXF66+/7vH4BQsW8MQTT3DuuecyatQoXnjhBUaNGsUnn3wS6NvQ0Djj8CS8nYIbGR9BRwBia86NxHLcf2u4N8ePfUPbsQPEFc4gfmwhWbKTY4NQQtE7gimimc8/eA+Hzkja5Td2VdryhL9WbkK8QnycysHDevwRW0VxsHf3UiQBEzgPneTbItaE98wm6MUUvV7P9ddfz7vvvstLL73E4cOHefzxx8nMzOSuu+7qt5ayw+Fgy5YtzJkzp8f2OXPmsH79er/moKoqVquV+Ph4r8fY7XZaWlp6vDQ0zmS6i26nSzljZBrNAaQDJU+OpXZ7s9f9vqxcIQTtbbWYktJIufQ6RuocHD7Rfi9YAnEl2wrbKdA5qKitp6z0OBlX34rOQwpQb/oT3VizSkqyyv6D/oktQGtrNY52CyOZSLQU69c5oLmZz1SCFtzNmzfz4IMPkpaWxiuvvMLjjz/O4cOHWbVqFRUVFVx33XU+z6+vr0dRFFJSUnpsT0lJobq62q85vPzyy7S1tXHzzd7Ls7344ouYzeauV1ZWltdjNTTOFDqt3U4LNz0vleaj/lmsOqOMPlyHvcX/DmHdkSSJseNvJvf2hzAZDKTILsrVoUv5T24XxMkqFSkjGfXA00TmjBrwmNHRKpkZCvsO6BHC/weH+M11zORyshgZ8DU1a/fMI+BvwSuvvMLChQvZv38/V155JW+99RZXXnklsuz+Yufl5fHGG28wZswYv8br7eYRQvh0/XSyZMkSnn32WT766COSk72vyTz11FM89thjXT+3tLRooqtx1vCV8j4Xm64mWjZT4fTd/7aTxPFm6vf0nwrUvblBbyRJQhcWxhi9jX1K3/Z7g0WYSzC5Xu1qJm+IiRvwmJGRKrnZLvbuMwTULanTC9C7MYFW6OLsJWDBff3117n33nu55557SE1N9XhMdnY2f/vb33yOk5iYiE6n62PN1tbW9rF6e7Ns2TLuu+8+li9fzmWXXebzWJPJNOCWShoawxVZlknJTsZa2n9GQacQvPPOO/z9nn8O+NphqMRIKruGyLqVhGBGlcqmFBlXY2AC7y0XNzxMZUSeW2wVJXCx7Y0mtmc3AX8TDh482O8xRqOx3w5DRqORoqIiiouLuf7667u2FxcX+3RHL1myhHvvvZclS5Zw1VVX+T9xDY2zlLiRUf2m93QKQWNjI1FRUXxhfxcY2FriOL2dvQE0KPCFP2UdC+tVjsVI2Ev6X6/txFfRC5NRMGqki30HDLhcAxNbTWg1IAjBXbhwIVFRUdx0U88v4vLly2lvbw+old9jjz3GnXfeydSpU5kxYwZ/+ctfKC0t5YEHHgDc7uCKigreeustwC22d911F6+++irTp0/vso7Dw8Mxm82BvhUNjbOCyOQw2ms9C0tvIdi+fTuFhYU99gcjumFhAoMkaPKj/Z7fY/oQ3YxWFaMCR80y/lRp7q+6lMEgGF3g5MBBAw6HJrYaoSHgoKn//u//JjGxb2m25ORkXnjhhYDGuuWWW1iwYAHPPfcchYWFfPvtt6xYsYKcnBwAqqqqeuTkvvHGG7hcLubPn09aWlrX6+GHHw70bWhonBW0tLR4bMXnKYVIVVXKy8v7xDj4yvP15jrNzXaFzLrtjyiHYGyT4Ptkud9ay9C/2Op0grEFTg4d1mOz+ye2upVb+vwufP3eNM5OArZwjx8/Tl5eXp/tOTk5XgtW+OLBBx/kwQcf9Lhv0aJFPX5evXp1wONraJzNHDp0iKbDPYOlvInAsWPHyMvL8xq02HlefxZvVKSKooA1hNZtJ72tXFkVTK9W2ZAqY9zZvyu5P7GVZcG40U6OHNPT3uGfPeJJaDU0PBGwhZucnMzOnTv7bN+xYwcJCQkhmZSGhkZoOHr0KM1H3OlA/VlcO3bsYNKkSf2O2Z+gZGcpHC8bmkCpc2tVSuIl2oz9W6L9iW1nT9vS8r4N5D3hzarV0PBGwII7b948/v3f/52vv/4aRVFQFIVVq1bx8MMPM2/evMGYo4aGRhCoqorNZuOztqX9CoHNZsNut/sdC+FtPLNZxWaTAlr39BdbYXsP6zbPomLXQUWU3LXfF54KW6iqcuJ/gjEFLqqqZSwt/omtJ7S8WQ1fBCy4v/3tb5k2bRqXXnop4eHhhIeHM2fOHC655JKA13A1NDQGj4qKCjIyMvw6du/evYwfP36AVxRkZ7goLXe7kr1ZlEIImnduwmFp7HfETpHtLaaxdkGuVbAjMbBbWKfoKoqTQwdW4HS2A4KCUS7qG2QamwbuBg9UdC0WC42N/f8uNIY/Aft9jEYjy5Yt4ze/+Q07duwgPDyciRMndgU6aWhonB4cOnSIUaP8q7K0b9++PpkHgZIQr2JpkXuk0KRstvewLB3NDVR9vhyhKsROOs/jOP1ZqnpFcG6Nypp0GdFrvdlW2N5v4FRpbhPVS98iLCwWkymKEfkKLS0ydfWhW3PuFF1fnoWWlhZeffVVvvrqK1auXBmya2ucvgS90FJQUEBBQUEo56KhoRFCKisrufjii/s9rqGhgejoaAyGgTQXEGSkKewu6TtGymY71ecYaNy6ltpvViCcDrJuuDfIywim16jsSJSx6T27rb2JrhCC5u0bqF75EcLlJG72FeTGKdhtUF0T+gAv8Cy8VquVP/7xj7z88ss0NTXx1VdfodcPXelLjVNHwH9lRVFYtGgRK1eupLa2FlVVe+xftWpVyCanoaERHO3t7YSFhXWVXPVF79zbYEhJVqlr0HksfdjWVkvFG+/TYnFnMRhiE4gaOc7jOP1Zt2OaBA1hErURvteIe4uuq6ONqhXLsB7cDYAuPJKpY0bRqpOo/27wy07Olm/iw5aF/OlPf+L3v/99lwv5uuuu49JLLx3062ucHgQsuA8//DCLFi3iqquuYsKECX7VPdbQ0BhaDh8+zIgRI/o9TlVVKioquOSSS4K+liQJUpIVdu3pa91WV21j3973EULp2hZfdCGShweB/sQ2sUOQ1CFYk+7fum2n6LZXHKP8n3/HZT1ZH3rm3GuI0Elsd5lgqvse1l8Uc3eUS4v86gvciVM4yI0eSQM1XdsMBgO///3v/R5DY/gTsOAuXbqUd999lyuvvHIw5qOhoRECDh8+7JfldPToUfLz8wf04JyeplBVrfPYRSc1bQoORyuHD64AQDaaPK7d9ie2JpdgSp3K6gwZApxreHo26VfOo3TZXwDBhAkTyM4fwTbX0DVVMEhGCsRkNvMNTtzC/sgjjzByZOBdhDSGLwFHKRuNRu1DoqFxGiOEoLW1lejo6H6P3blzp1+5t97QGWUS4lTq6j3fSiyWUo4e/hKjKYbomEzSU6aiM/Utvugr0EkSghnVKpuTZZw6/wWyc0zhclH79acATPrBbMZOnsJ2fTz/f3vnHR9Vlf7/z/RJMsmk90p6IYEUQmghShGRDlLEspZd192fbd1dXXVBV0VlVdxdwQa6ShERRBRUQEkIEEpCAmmk90x6MkkmmX5+f+Q7dzNkkswkk0wC5/16zQvm3jPnPnfm5n7uc855nmc0YmuKdwsAXaQDmUiDGkrcfffdcHV1xUsvvTTi41MmJyYL7p/+9Ce8//77IISMhT0UCmWUNDY2DltxC+iLvVUqlbCzsxvxsbySnFF/ogKGxKu3tx25174EwEJ0zAPwD7gD3j6zTD5GdIsWNSIW2oWmiy0ANJz6FvKmOsQsW4eE2XNwUQaQm+w1ZTjZVKSkFVlIA1sAHPv+GP71r3/htddeG9X3fiuyc+dOBAQEQCgUIi4uDunp6YO2lUgk2LRpE0JDQ8Fms/H0008PaPPJJ59g7ty5cHBwgIODAxYsWIDLly+P4RkMj8lDyufOncOZM2fw448/IjIycsDKxiNHjpjNOAqFYjqlpaVGjULl5eWNKvaWZ82ByFOI6rQm4KaoQLVajtyc/0KllCEq+j7Y2nnBFn0xwZ2D9GeoOIFntxZWauCai/G+QX+x7bh+GR3XLyEoYRYSp01FhsoatmHTje7LEKZ4t22kCUU2WRCAj2PHjjFz5YbS497OHDx4EE8//TR27tyJ2bNn46OPPsKSJUtQUFAAX1/fAe0VCgVcXFzw4osv4r333jPYZ2pqKjZu3IhZs2ZBKBTi7bffxqJFi5Cfn290fLq5MdnDtbe3x6pVq5CcnAxnZ2eIxWK9F4VCsSw1NTUGb1I3U1RUhNDQ0BEfx2eeC2rSmwds12o1yM/dD5msEYHBd8HFdWSibqMiiGgjuOJm3G1KmGOtJ7byxjpITn4Dz4Ag3LloES6prKEx4ImPlXfbTaTIF1wCj8fD6dOn9RamGbN6/Hbi3XffxSOPPIJHH30U4eHh2LFjB3x8fLBr1y6D7f39/fH+++/jgQceGFR39u3bhyeeeALTpk1DWFgYPvnkE2i1WovGPI+oPB+FQpmYKBQKcDgccDhDx5W2tLRALBaPOPa2o6MDfBEPXbW9APq8Ps2dcQAApbILPbJmeHglwMd3rkn96rxcNukrSnDJnQ0Ne/ihZENzwK2XU2Evtseye9fjskYElRnE1ljv9pT2EAgh+Otf/4pNmzaNOuxqMtLZqT+WIRAIIBAMTK+pVCqRlZWF559/Xm/7okWLcOHCBbPZ09PTA5VKBUdHR7P1aSojirZWq9VITU1FWVkZNm3aBFtbW9TX18POzg4ikcjcNlIoFCOpqKgwarhytLG3aWlpfUPJBhAK7RE34w/gcq1GvPo5rkmLYnsWugwUJTCmBB8ABC5dhwR0IpPlAIXpg3kDMEVsAYDFYuHtt98e9XEtiWu2AtxBEowMhlqtQBEwoMzjli1bsHXr1gHtW1paoNFoBqw7cHNzY2qem4Pnn38eXl5eWLBggdn6NJURlee76667UF1dDYVCgYULF8LW1hZvv/025HI5Pvzww7Gwk0KhGEFpaSlmz549ZButVov6+voRJ1xoauoT2p7mwb1DPn/kD97B13lgsdloVguNKiZvCAG0SBSokKV2RC8xLLbmHkqmlYL0qamp0VsYZsi77c/ND2eEELPleXj77bdx4MABpKamQigc6VU1ekx+7HvqqacQHx+P9vZ2WFlZMdtXrVpF84FSKBaEEIKOjg44ODgM2a68vHxUsbdpaWlGpYwcjKGEzpalgR9HhdxRFK/ngSCR14sctRDdg4itqZgaBkQB7Ozs9F6DCa6zszM4HM4Ab7apqcmo1fbD8c9//hNvvPEGTp48OaoQOHNg8tV47tw5vPTSS+Dz+Xrb/fz8UFdXZzbDKBSKabS1tRk1P3X9+nXExMSM6BjV1dWwtbWFvb293nbd/O1o4IAglitHpko4IGzHlD4Seb3IUwshJebJj0zFdmzh8/mIi4vDqVOn9LafOnUKs2aZHkbWn+3bt+Mf//gHfvrpJ8THx4+qL3Ng8pCyVquFRqMZsL22ttaoQHsKhTI2GBMO1NvbC5VKNaK/VUIIzp07hxUrVozURIabqwgBBLE8OQo0AshN8AN0YUTCHGuw/09sizV8tBkhto3xgjGNv6UYz7PPPov7778f8fHxSEpKwscff4zq6mo8/vjjAIAXXngBdXV1+OKLL5jP5OTkAAC6u7vR3NyMnJwc8Pl8RET05el+++238fLLL2P//v3w9/dnPGiRSGSxtUYmC+7ChQuxY8cOfPzxxwD6xt27u7uxZcsWmu6RQrEglZWVmD596BjTvLw8REVFjaj/0tJSeHp6wsbGZkSfH4pAjgpdWjaatSOrmqOIkWFeAQsVGh6aRtiHIah3Oz6sX78era2tePXVVyGRSBAVFYUTJ04wZV8lEgmqq6v1PtP/Ws/KysL+/fvh5+eHyspKAH2JNJRKJdauXav3ucEWb40HJl+Z7733HlJSUhAREQG5XI5NmzahpKQEzs7OOHDgwFjYSKFQhkGtVoMQMmCq52aKi4uxfv16k/snhODixYu49957R2riAHRergNLA1e2Ghkqq+E/1A8mScb/hRDVa4SQaEdTYlAfKrbjyxNPPIEnnnjC4L7PP/98wLbhsh3qhHciYbLgenp6IicnBwcOHMDVq1eh1WrxyCOP4L777tNbREWhUMaPqqqqYZNdNDU1wd7efkS1V/Py8hAcHGxw4cto5m/5IIjmynFBZQ1Tchv3F9v4Ji1ahCyURKsgzDGf4FIo5mZEYy9WVlZ4+OGH8fDDIywiTaFQzEppaemww8nXrl0bto0hNBoNsrOzsWnTppGaNwgE8bxeXFcLDSalMIboVoJeLgslDjRzE2XiY7Lg9p+0NsQDDzwwYmMoFMrIaG5uhouLy6D7tVotGhoaRhT0f/XqVURHR4/IMx4Kx0QWGrRctI9wNXF4mxZsQnDdeWSfd8tUQN7bDqHV0GFUFIq5GFEB+v6oVCr09PSAz+fD2tqaCi6FMs5IpVLY2dkNGVerK0hvauytUqlEYWEhNm/ePFoz9SAzOLAhclyXasCzHXre2RCBHVrYKgkuG5ln+WbE6Q3IKzkBF9dIKriUccPkq7W9vV3v1d3djaKiIsyZM4cumqJQLIBOTIdipHVvL126hBkzZpgt2b5Go0SntBABbZX49ovPDNbGHQ5vtgqetZw+se33AGFMyketSomer0/gUsZ76O6WwNVt8O/EHLHFFEp/zPJXFBwcjDfffHOA90uhUMYeXeaowejp6YFGozE59rCnpwfV1dWjqigEAFqtGi3NBcjP/QoZ57YhLESD749+C9cl68Hmm5ZRyp2thjdHhUy1UE9sh4MQgq6SPFTufAuV5aeh1arg5z8fLNbQt0AquhRzYrZJGQ6Hg/r6enN1R6FQjECr1UKpVA4ZITDS2Ntz585h9uzZQw5DDydIXV31yM35LxSKvsoxixYtQnZ2NoQzF0Hg5GqSPc4sNQI5SmSorAZkohrKu1W0NaPh9LeQld/4X3uhA9zcR1cXl0IxFZMF99ixY3rvCSGQSCT4z3/+M2zSdAqFYl5qa2uHLaZdXFyMDRs2mNRvZ2cn2tvb4e/vPwrrAFtbT/j4zkVpyXGEh4eDxWKhwcYF7mGmpZa0Z2kQzlUgQ2UNrYkrmnkiO/haTUUhigD0xW76+ieDzTZusZXmzjgak0sxCyYL7sqVK/Xes1gsuLi44I477sA777xjLrsoFIoRlJaWDjnk29TUBEdHR5NXGA9VoGAhe51RfajVchTfOIbGhmy4unkjNjYWR9Mvwnf94ybZYsvSIJorR4bKGmroz9ky8bhD4JqtxLXaywAI+HxbsFgseHiad6iYVgqiGMOIcilTKJSJgUQiwfz58wfdn5OTY3LsbUtLC9RqNdzd3Qfs6y+2Qw0nS6XVKMg7CHlvG9zcI3HvvWvw9df74LnmPrA4xofx2LC0iOXKcVFlZTBWd7iFUkSjQd71/ZBKq+Drlww7sS8U8naw2cbd+obzbKnQUkzBvIF1FApl3JDJZLCyshp0BbFGo0FjYyMWLlxoUr9paWlISUnR23azVzuY2BKiRVVlGirLT4PFYiMkdDlSUuJRV8/BlKC1EBZZodHIoi1CaBHP7cUVldWICsgTokXbl3vR1loED894TAlaDEK0IMQ4p4GKLcXcmCy4zz77rNFt3333XVO7p1AoRjLc6mRd9SBTYm/r6uogFAqZMn+Gho+H8mzlvR2oqjgDaxtXREZtQGCgMxQKgvYONoRCewCGKgUNhA8tEnm9yFIL0TMisSVoOHUU7Q3X4OISiZCwlWCxWGCxOACG9rCp0FLGCpMFNzs7G1evXoVarWbmjoqLi8HhcBAbG8u0G2lxawqFYhxlZWW48847B92fm5uLJUuWmNRneno6li5dCsB0sQUAK2tHTIt9BCJbT9jZceDkqEF+oWm3GS4IZjIF5EeWRUrd1YGu61mwdwhEeNR6oxZIGbMwiootZTSYLLjLli2Dra0t/vvf/8LBoS9DS3t7O37zm99g7ty5+NOf/mR2IykUij6EEHR3dw9a17anpweEEJNK6ZWXl8PFxQWrxaPLkS629wOHQxAYoELBDR4MFSUYzMvl/J/Y5qsFoyogz7NzQGzC4xAIxOBwhi5oQIWWMl6YLLjvvPMOTp48yYgtADg4OOC1117DokWLqOBSKONAQ0ODwUVNOnJzc02KvSWE4MKFC9j72PeDtjE+CQRBSJAaFZVcqNWDj3TdLLosEMzg9aJEw0crGd3yErdMBWAzfJwvHT6mjCcmT450dnaisbFxwPampiZ0dXWZxSgKhTI0uvnZwSgpKUFISIjR/RUWFiIgIAAaxeijELy9NJB2stHVbfzthQWCBJ4c1RoeGkdZQN4tUzGqz1MoY4XJgrtq1Sr85je/wTfffIPa2lrU1tbim2++wSOPPILVq1ePhY0UCuUmampq4OPjY3BfY2MjnJycwDEy/Ear1SIzMxMzZswYsp0xQ69iOy1ENgT1ElNuLQSxXDkaNRzUjbKAPBVbykTG5EfJDz/8EM899xw2b94MlUrV1wmXi0ceeQTbt283u4EUCkUfuVwOHo83qKCaGnubnZ2NyMhI8HjDix3nl6xBh5b5PAI/XzXyCgzP2xqGIJqrgJRwUKU1vWpQf6jYUiY6Jnu41tbW2LlzJ1pbW5kVy21tbdi5c6dJCzQoFMrIqKioQEBAgMF9Go0GTU1NQ87v9kelUiEvL29Ehen1IQgJVqO0jAut1vgIhXCOEirCQqnGMmJLixNQxpMRVwuSSCSQSCQICQmBjY0NCCHmtItCoQzCUOX4SkpKEBwcbHRfly9fRnx8vEnl9wwNLQf4adDUzEZPr/H9eHpowGMRFFpIbCmU8cZkwW1tbcWdd96JkJAQ3H333ZBIJACARx99lK5QplDGGEIIOjo69KIE+pObm4upU6ca1ZdcLkdFRQUiIiJGZZOTowYcDkFTs/FhPK4uGthYa3FdLYDxw8/6uGUqzCK21MuljBcmC+4zzzwDHo+H6upqWFv/L4/p+vXr8dNPP5nVOAqFok9rayucnJwM7pPJZABg9NTO+fPnMWvWrBElqdF5uUIBgaeHBmUVxi8HcXLSwMFBi/MONhiJ2JpLaCmU8cZkwT158iTeeusteHt7620PDg5GVVWV2QyjUCgDGSocyBTvtqurC01NTUOmhhwOFosgJEiF4lIeCDFOOB3stRCHAOl2NgNq2hrLcGkhjUWjUUKh6KKl9yjjhsmCK5PJ9DxbHS0tLRAIzPOHQKFQDFNVVTVojdrS0lKj52/Pnj2LefPmjdgOzZ1xCJqiRm09BwqFccJpZ6uFczjBZQMF5E1ltKLb1VmH7KxPwE8vGFU/FIopmCy48+bNwxdffMG8Z7FY0Gq12L59+4AKIxQKxXyoVCoQQgyG7zQ0NMDFxcWo2Nu2tjbI5fJhC9cPhZurBioVC23txs3bKhK48IjS4qLKCpp+YksIMbp6z82MRHQJ0aKqIhVZlz+AXScPXBYtmEYZP0y+2rZv34758+cjMzMTSqUSf/nLX5Cfn4+2tjacP39+LGykUCjo8279/PwM7svJycG0adOM6meo4vLGYO0qgLOT1uiiBD0JXMRy5UhrkaOruQqK1gYoWhqhaGmEbVAEnGeZVj6wP43xAqPnc+W97SjI/xrSjkoAgCcMh1ZRKGOFyYIbERGB69evY9euXeBwOJDJZFi9ejX+8Ic/wMPDYyxspFAo6BsyjosbuKJWo9GgpaXFqNjbhoYGcDgcODs7j8gGDp+NKYs9UFDKxXALnhrjBeDLuzC9rQp7Dx5EV0e73n7X+UvhPHPwakfGMpzoEkLQ2JCD4hvfQaPpayeCGHYwvNKbQhkrTBJclUqFRYsW4aOPPsIrr7wyVjZRKBQDtLS0GBRKU2Jv09LScNddd43YhsB7PFF1phGqUMMrpXU0xgsggBYzbdn4pUqmL7YsFjwWr4XDtKQR22HoeIOJbqe0Gg2SLEZsAcALAbSEKGXcMWkOl8fjIS8vj16oFMo409HRATs7O4N/e8auTq6srISDgwPEYvGIbPBMdEJ3fS+6anuHbcslWiRoWvH9t4dR/O2XzHYWhwPvFQ+YVWyHQ2zvB/c2e+Y9G2y4w3fcjk+h6DB50dQDDzyA3bt3j4UtFAplEMrKygyGA3V3d4PFYhmMHOgPIQTnz5/HnDlzRnR8W28riLysUH+xddjjtLcXYXpDIb7f+zlqC3JhHzMTXsvvB4vHh8+6x2AXFjMiG0ZKZ2ctipANIawRiQS4whs81uiyW1EoI8FkwVUqldi1axfi4uLwu9/9Ds8++6zey1R27tyJgIAACIVCxMXFIT09fdC2EokEmzZtQmhoKNhsNp5++mmTj0ehTEbKy8sNxszm5uYiOjp62M8XFxfDx8dnWGE2BM+aA78UN5T9UM9sGyx2taToW4QFy5Ga+ivYHD8E/+5v8FxyL4SunvDb+HuI/I0vGWgOlEoZ8q7vAwBEIwnu8MUUjC6zFoUyUkxeNJWXl4fY2FgAfX/E/TF1qPngwYN4+umnsXPnTsyePRsfffQRlixZgoKCAvj6DhzyUSgUcHFxwYsvvoj33nvPVNMnNFqtFkqlEkqlEiqVCiqVCmq1GhqNBmq1GoQQaLVavZzVLBYLHA6HeXG5XPD5fPB4PAiFQvB4PDr8fwug0WigUqkgFAr1thNCUFpaOmxZPa1Wi0uXLmHDhg2mH5wFBC3zQvnPEmiUw4XvECy5az7y8org5bsBAoEdGsV9oTsCZzfTj20ChuZvCdGiIO8rKOQdiEA87Fh9i6SsIRpTWyiUwTBKcK9fv46oqCiw2WycOXPGbAd/99138cgjj+DRRx8FAOzYsQM///wzdu3ahW3btg1o7+/vj/fffx8AsGfPHrPZYW6USiW6u7vR3d0NmUwGmUyGnp4e9PT0oLe3F3K5fMBn2Gw2I5a6F5fLBZfLBYfDAZvNBovF0hNQnQjrRFmtVjOCrVAooFQq9Y7B5XIhEokgFothZ2cHe3t7ODo6wsrKigrzBKa2tnZAZjegb8Wxm5vbsLG3169fR1hYGPh804dRfZNd0XqjEz1NAwVNv1QfQWiwGq1tYliJ/jc/65apMFtmKFMpLzuF9rZSeHrNgGc9nbOlWB6jBHf69OmQSCRwdXXFlClTcOXKlUHzuRqLUqlEVlYWnn/+eb3tixYtwoULF0bVd38UCgUUiv/dLDo7O0fcFyEE3d3dkEql6OzsZF5dXV164sbn82FjYwORSAQbGxvY2dnB3d0d1tbWsLa2hkAgsIjAqVQqPfvLy8uRmZmJnp4eAH05eF1cXODq6goPDw9abnGCUFpaivDw8AHbs7OzER8fP+Rn1Wo1rl27hs2bN5t8XIcgEXgiLqpTm4ZpSRA0RQ1pJxstrQPF31KiayV0gNg+AGF1XiOtj0ChmBWjBNfe3h4VFRVwdXVFZWUltNqRZYbpT0tLCzQaDdzc9Iea3Nzc0NDQMOr+dWzbts3oECaNRoPOzk50dHQwL6lUit7evlWZLBaLEVCxWAxXV1cEBQXB1tZ2UqS15PF4cHBwGLTSjEwmQ1NTExobG5Gbm4uenh7w+Xx4e3vD19cX7u7uRmUyopgXiUSCO+64Q2+bWq1GW1sbXF1dh/xsZmYmpk+fbvLvJhDz4DnTGQUHhs6PzvklCz4Px6BXzkJD4+DH0A35jqfwenrPgIdXPNi/Zo/bMSmUoTBKcNesWYPk5GR4eHiAxWIhPj5+0D/g8vJykwy42dMjhJjV+3vhhRf0FnN1dnbCx8cHBQUFUKlUaG9vZ6qssNlsZqjV3t4eYWFhEIvFt82Qq42NDQICAvSKmysUCtTW1qK4uBhnz54Fi8WCn58fAgMD4eLiclt8L5aku7sbNjY2A77n4uJihIQMvQBJoVCguLgY999/v0nHZHFYCLrHE6U/1IFohq5z7flADIgWqKs3bjnIeHu7LNaIS37jlPaQGS2hUIwU3I8//hirV69GaWkpnnzySTz22GOwtbUd1YGdnZ3B4XAGeLNNTU0DvN7RIBAIDHqfWq0W/v7+mD59usEbGqUPgUCAwMBApuC5SqVCVVUVsrOz0dTUBGdnZ4SGhsLPz496v2NAWVmZwdXJeXl5uOeee4b8bEZGBmbOnGnytR2w0B2SzDYoOlRDtnOPcwCPD5RXGPe7W2oudyRQsaWMBUavUtZlp8nKysJTTz01asHl8/mIi4vDqVOnsGrVKmb7qVOnsGLFilH1bQxRUVGws7Mb8+PcavB4PAQFBSEoKAiEELS0tKCoqAgXLlyAg4MDpk6dCh8fH/oAYybKy8uxcKF+ruHu7m5wOJwhQ3xkMhnq6+tNzpnsHCWGRqVFW1HXsO2s431QUsqBMROkYym25qyNS4WWMpaYHBb02Wefme3gzz77LO6//37Ex8cjKSkJH3/8Maqrq/H4448D6BsOrqur06tOlJOTA6DvptPc3IycnBzw+XxERNDYuvGGxWLBxcUFLi4umDNnDlpaWpCbm4vU1FT4+/tj2rRp9KFmFBBCIJPJIBLph7Fcv3592Njb9PR0zJkzx6QHn+bmZrhOFaPgq+oh2zmG2MJhrh9uFA+fT3msMZfYUqGljAcWrU21fv16tLa24tVXX4VEIkFUVBROnDjBVESRSCSortb/458+fTrz/6ysLOzfvx9+fn6orKwcT9MpBnB2dkZKSgoIIaioqMDp06eh0WgQFxeHgACau9ZUJBLJgIIghBCUlZVh5syZg36uo6MDXV1dBmPZB0OpVOLHH39EybF6YIhpW7G/DVwWBqCwyHixteRQsjHF5anYUsYLixeDfOKJJ/DEE08Y3Pf5558P2NY/8cN40D8hhS62VRfrqvtXFwOrS1She2m1WuZ1s926mFpDySu4XC54PB74fD7zEgqFei82e+SLQcYaFouFKVOmYMqUKeju7kZmZibOnTuHqKgoxMTE0LleIyktLR2QzrG+vh7u7u5D/v5paWkmFZcnhOD48eOYN28evpR9P2g7kacVPJcFouAGF4RY/uFptN4tFVrKeGNxwbUU+fn5YLPZ6O3tZZJRGEpIwWKxwOfzIRAI9ARQJ4gCgQAikYgRSl2iiv7JKoZKWkEIYcRZl8BCl2lKpVKht7cXHR0djH26V1/h7r4V3TweDyKRCHZ2dkzIkr29PUQikcW9SpFIhPnz50OtViM3Nxf79u1DaGgoYmNjDRZSp/yP2tpazJ49W29bTk4OEhISBv1MU1NfzKwpCw+vXLkCV1dX+Pv7D9rG2lUAvzvckF/EhVZr/DU1Vt7taMSWCu3EZOfOndi+fTskEgkiIyOxY8cOzJ07d9D2aWlpePbZZ5Gfnw9PT0/85S9/YaYjdezYsQO7du1CdXU1nJ2dsXbtWmzbtm1A1rbx4rYVXKBvCNTKyop5WSohxWjRZbbq7OyEVCpFRUUFOjo6IJPJQAgBh8OBo6MjnJycmMQW4x03zOVyMX36dMTExKCgoAAHDhxAaGgo4uLiwOVa/jJcyF5ndNvxuGHL5XLweDy90QC1Wo2Ojo4hY2/T0tIGLLIairq6OlRVVWHt2rWDthE68DHlLg/c+KYGmiTTEt6MRRiQsWJraDiZiu3ExNQ0vxUVFbj77rvx2GOPYe/evTh//jyeeOIJuLi4YM2aNQCAffv24fnnn8eePXswa9YsFBcX46GHHgIAi6UGtvydzkJERkbeMgt6+Hw+HB0d4ejoaHC/LklCa2srKioqcPnyZSgUCnC5XCarlKen56hXnhsDm81GVFQUIiIikJeXh/379yM6OhrR0dEWHSY/pT1kkuiONYaKFRQVFQ0Ze1tTUwORSAR7e3ujjtHT04PTp09j/fr1gz5o8m25CFrmieJva6Hu0TAi9r+UjuOHKV7tzWJLhXb8uTmr32AhmoDpaX4//PBD+Pr6YseOHQCA8PBwZGZm4p///CcjuBkZGZg9ezY2bdoEoC818MaNG3H58mVznaLJ3LaCezuhE1ZXV1e9FIEqlQqNjY2QSCS4ceMGuru7IRQK4e3tDT8/P7i5uY2Zx89msxEdHY3IyEhm8dvcuXOZBXOWQHdTngjCW1ZWNmA4LS8vD8uXLzfYnhCC9PR0o0PqCCH4/vvvsWjRokGH17jWHISs9Ebp9/VQdqn19unnUTYdQgjkjXVgsVgQunkN2dbU4eP+YkuFdnRwUnPAYZk29UNIX/y2j4+P3vYtW7Zg69atA9qPJM1vRkYGFi1apLdt8eLF2L17N1QqFXg8HubMmYO9e/fi8uXLmDFjBsrLy3HixAk8+OCDJp2POaGCexvD4/Hg7e2tlxi/t7cXtbW1yMvLw6+//goul8tklnJycjK7AHM4HMyYMQNTp05FamoqsrKysGDBAouOPlhaeAkhkEqlep5qV1cXeDwerKysDH6mtLTUpPzXZ8+eRXBw8IBV0Do4AjZCV/ug/CcJ5O1Kw22MFF3dsLJWrUZPdQm6SvLRVVYAro0t/Df9YdjPmgIV24lDTU2N3t/xYN7tSNL86gp33NxerVajpaUFHh4e2LBhA5qbmzFnzhwQQqBWq/H73/9+gLCPJ1RwKXpYWVkhODgYwcHBAPrSA1ZVVeHKlStobW2Fvb09QkNDERAQYNa5VysrKyxZsgRNTU344YcfEBgYiISEBIsPMwPjL7wtLS1wdnbW2zZU7C0hBBcvXsS9995rVP/l5eXo6OgYdCUzm8tC6BofVP3aiJ7m0a0EViplaG25gbojReiuKAJR9Yk311YMnzWPgM37XwWj0a461oktFdqJgW4Rp7GYmubXUPv+21NTU/H6669j586dSExMRGlpKZ566il4eHjg5ZdfNtouc0IFlzIkAoEAISEhzNxhW1sbioqKkJmZCR6Ph7CwMISEhIyo9JshXF1dsXHjRmRnZ2P//v1YuHChWVN9joTxFt6bw4EIISgvL0dSUpLB9nl5eQgKCjJqIVxnZyfOnTuHjRs3GryZsTgshK72Qd35FnTX9w7b3/BeLoG0oxJd9bnMFjabh2nh98P2hgCAeRJXULGdvIwkza+7u7vB9lwul6lk9/LLL+P+++9n5oWnTp0KmUyG3/72t3jxxRct8jA/cYM5KRMSR0dHJCUlYePGjViyZAmUSiWOHDmCw4cP48aNG1Cr1cN3MgwsFguxsbFYuXIl0tPTcfbsWbNUqBot4yW8VVVVenPZ9fX18PDwMHiD0Gg0uHr16pChQv3bfv/991i6dKnBkCytVouQFV5oyG6DtEpmtL1DJZdQq3ohk+mX9wuPXAdbu6HnbU05NueXLJzSHqJiO0npn+a3P6dOncKsWbMMfiYpKWlA+5MnTyI+Pp65tnt6egb8zXA4HCak0hLcth7uoUOHhsxFawo3J6zQvfrH7woEAr3EFVZWVhMiHGY02NjYIDY2FrGxsZDJZMjLy8PBgwdhb2+P2NjYQecHjUUkEmHNmjXIzc3F/v37cddddw0Yah0vxsu7Van6Fpz0F8ScnBwkJiYabH/16lVER0cbdS2dPn0a06dPN1jLmhCCH374Aa1FXWgv6R6h9f3706Km+hwqyk5Bq9XAy3sm6movwn/KAri6TR11/4C+0Ot+Hyq6kxNT0/w+/vjj+M9//oNnn30Wjz32GDIyMrB7924cOHCA6XPZsmV49913MX36dGZI+eWXX8by5cstlnxnct/xR8G6devMsjBHl8Di5oQVukxUCoUCCoUC7e3tUCgUeskrbvYGhUIhU7heJBLB1taWmQeZ6EkibGxskJiYiMTERDQ3N+Pq1av45ZdfEBoaiujo6BHH/bJYLERHR8Pf3x/Hjx9HaGgopk+fPq7x0uM5h1tZWamXgEIXe2voQUOpVKKwsNCo4vIFBQUAYDDnOCEEP//8M7y8vNCSLx258f+HTNaEGwXfoFNaAytrZ4RHrIXY3g8EBP4BdwzfgREM5lVT4Z2cmJrmNyAgACdOnMAzzzyDDz74AJ6envjXv/7FhAQBwEsvvQQWi4WXXnoJdXV1cHFxwbJly/D666+P+/npYBFL+dYWorOzE2KxGFKpdELF4RJCIJfLIZPJ0N3dja6uLubV2dnJiDOHw4GdnR1TSN7R0REODg4TMl2iRqNBYWEhrl+/Dnt7eyQkJMDFxWXE/Wm1Wpw/fx7Nzc24++67xzxbzFBCO1Y39B9//BEJCQmMwObl5UEulyM+Pn5A2/T0dDg7O+uFehmitbUVP/30EzZs2GDwOklNTQWPx8Ps2bNH/HChm8ftaK/Atew90Go18PGbi4ApC8Dh9D0sEqIdVX3a/tAcyfqY+76m628+VoBrYliQmqiQiu8m3D12InDbergTDRaLxWS8GmrYVK1WQyqVoqOjA+3t7aisrER7ezs0Gg3YbDYcHBzg7OzMZJSyVAozoO/hICoqClFRUWhsbERGRgbkcjkSEhLg7+9vspfKZrMxd+5c1NbW4uDBg1i8eDHc3d3Nbrcl43BbW1v1hnzz8/MNxtb29vaiuroac+bMGbI/lUqFEydOYMWKFQbFNiMjA1qtdkAKyZFiJ/aBk3MYfPzmQizWzxA0nmILUG+XMvGggjvJ0K3CMzQPp9Fo0NHRgebmZiaUR6FQgMPhwMXFBe7u7vDw8IC9vf24p7B0c3PD8uXL0d3djStXruD8+fOIjY1FeHi4ybZ4e3tj3bp1OHbsGMLCwjBt2jSz2WlJsW1vb9f7bTo7O5nCFTdz7tw5zJ49e8jvjhCCEydOYPbs2QY9jatXr6Kjo4OpdT0adKuV2WwuoqLvG3V/Qx3HVKjwUiYKVHBvITgcDiPGYWFhzHa1Wo3m5mZIJBJcuHABUqkUbDYbrq6u8PHxgbe396AJFcyNSCRCSkoKlEolMjMz8eWXX2LatGmIiooyaZm+tbU17r33XqSlpeH48eO46667RjWsPlGySwUGBjLvB4u97ezsRFtb25DFBoA+QXVwcBiQIhLo85xramqwfPnySZM/fCRi25+F7HVUdCkWhQrubQCXy4WHh4feqmGNRoPGxkbU1NQgNzcXvb29sLW1hZ+fH/z8/IzOxztS+Hw+Zs2ahRkzZuDq1avYu3cv4uLiEBERYbQAsNlspKSkoLCwEAcPHsTKlStNXnk+EYRWR0VFBZYtWwbgf7G3hsIijCm/J5FIUFZWhnXrBp5fSUkJCgsLsXr16kkjthTKrQAV3NsUDocDT09PeHp6MtukUimqq6tx7tw5dHR0wNbWFgEBAZgyZQpEItGY2MHlcjFjxgxMnz4dmZmZ2Lt3L2bOnImgoCCjxSA8PBwODg44dOgQlixZMmQ1nf5MJLHVaDRQqVTM8HFtbS28vLwGeP0tLS1Qq9VDhlz19vbi5MmTuPfeewd8h1VVVcjKysLatWsNjiiMNNbYEsUMTIV6txRLc9sK7qFDh2BjYzNk7Kzu/7qXUChk/n8regZisRhTp07F1Kl9cZKdnZ2oqKjA6dOn0d3dDTc3NwQFBcHX19fsq6J5PB6SkpIQGxuLCxcuIDMzE/Pnzzc6ltfd3R1r167F0aNHkZSUZHAYVcdEElodNTU1esnec3JyDGaWOnv2LJKTkwftRxdPu2DBggHTBPX19Th37hzWrVs3bNzuRKueNBqo0FImCret4K5btw4ikUgvflapVOrFzyqVSnR0dDCxtHK5nPn/zQgEAlhZWcHa2ho2NjbMvyKRCDY2NpNSpO3s7BATE4OYmBgQQtDY2IiSkhJkZGRAIBAgKCgIISEhZp3/FQgESElJQVdXF1JTU6HVanHHHXcYVTrQxsYG9957L44dO4bOzk6Di6nMISJj4c2VlpYiMjISQN/K4s7OzgGr1evr6yEQCAwumNNx/vx5+Pv7w8tLP5NTc3MzfvnlF6xbt87oNJyWLuJwM5o740yex6ViS5lI3LaCC/TNAeo82dFACIFSqURPTw96enogk8nQ09OD9vZ2dHd3QyaT6Yk0l8uFra0tk9hCLBYzCS4smax/KFgsFtzd3ZkwnJ6eHpSUlOD48eNQqVQIDAxEeHi42Wrq2traYtmyZZBIJDh27Bj8/Pwwc+bMYT0zHo+H1atX4+TJk0hNTUVycjJYLNaoRWOsh0wbGhpw5513AgBu3Liht+hNx9mzZ7F06dJB+6isrERLS8uAMKL29nacOHECa9euHVGY2EQTXmOgQkuZiNzWgmsuWCwWM9Ts4OAwbHuVSsUktOjs7ER1dTWkUim6u7uZnMFCoRD29vZ6CS5EItGE8ZKtra0Z71elUqGsrAynT59Gb28vAgMDERkZaZZ5Xw8PD2zatAn5+fnYv38/5syZM+RwMdD3eyxevBgZGRl4/J6nUP6jZETHHq95ye7ubr3fNj8/HytXrtRrU15eDhcXl0EfaLq6unD27Fls2LBB7xrp6urCsWPHsHLlSqNL9w3GZBhmpkJLmcjctoKbnZ0NR0dHvflZ3YvP54+psPF4PDg6OsLR0XHQNr29vWhvb0dHRwdqampw7do1yGQyEELA5/Ph6OgIJycnODs7w9nZecSpE82BrmpQWFgY1Go1SktL8fPPP0OlUiEsLAzh4eGjso/FYiEqKgrBwcE4c+YMrl27hoULFw4r6H+f/S5co+0RstILJcfqQbTDJ1WzxOKfsrIy5iFCKpUy16MOQgguXLiAtWvXGvy8VqvF999/jyVLluiN1vT09ODbb7/FPffcA7FYbBZbDXm7E2XBFBVbykTnthVcnafQ2dmpNz8rl8uhVCoHVJPg8/lMJihra+sBc7XW1tZmXUikO1b/VcQ6lEol2tra0NLSwsypKpVKsFgsODo6wtXVlXmNdw5mLpfLiK9CoUBhYSGOHDkCKysrREdHIyAgYMQPMwKBAHfddRcaGhpw9OhRREZGYtq0aQP66y8GTdc7oJZrELrWG8VHaqFVGxZdS4pGWVkZFi9eDKAv9jYmJkZvf2FhIQICAgYdDv7ll18QHR2tlzZToVDgyJEjWLx48ZBzvubA2EL0YwUVWspk4bYV3KCgIKPzfBJCoFKp0NPTg97eXmautqmpiZmv7enp0SshJxAImAIEIpEIdnZ2zJztaKsE8fl8vflUHVqtFm1tbWhqakJJSQnOnz8PtVqt197Dw2PUQ4vGIhAIMG3aNEybNg1SqRTXrl3DuXPn4Ofnh2nTpo3Y63J3d8emTZtw6dIlJsWjg4PDoMOdbcVd0Ci1CFvngxvf1EKr0i/1Z0mx0Gq16O3thY2NDQghqKio0EuzqNVqkZmZiY0bNxr8vK4kYlRUFLNNpVLh8OHDmD9/vtlrCQ/2HY+H6I428QWFYmluW8E1BRaLxSyuMiYhhG4RVf8CBLW1tejs7ERXVxc0Gg2AvkVbtra2sLe3h1gshr29Pezt7WFtbT0iL5DNZjNDzP2rwsjlcjQ2NkIikSAvLw8ymYwRYS8vL3h6eo55zmWxWIx58+Zh7ty5qKysxK+//gq1Wo1p06YhMDDQ5MVibDYbSUlJCAsLw08//YQT76UO2V5aKYNWQxC2zgdFh2ugUfSJrqWHQyUSCRP6VFtbC29vb73vIicnB5GRkQZHKtrb25GZmYkNGzYw2zQaDb799lvMnDkT3t7eZrPTmLlbnSCOxXdKxZZyK0AFdwzov4hqqEIEGo0GXV1d6OjogFQqRWlpKTo6OiCT9RX/5nA4EIvFzKIpJycniMVik4euhUIhk0FKh1KphEQiQX19PbKzsyGXyyESieDt7Q0fHx+4uLiMyTw2i8VCQEAAAgICIJPJkJOTg4yMDAQGBiI2NtbkEKN7nX4LAPCY4YjwDb4o/1EChVRlsG1XTQ+qU5sQttYHRYdroZg9bbSnM2pKS0sRFBQEoE9c+3u3KpUKeXl5uO++gbmJVSoVfvjhByxfvpwZMdFqtTh27Biio6OHXVhmCqYulDLF2+2buiFDFjagYku5VaCCa0E4HA7j1RpCo9FAKpWira0NbW1tKCsrQ0dHB7RarV5lIN3LlKFiPp8/QIR1nnhOTg5aWlqYbFR+fn7w8vIye7ILGxsbzJ49G0lJSSgtLcV3333H1NUdLlvUzSIgudyG9tJuBC71RHOeFM3XOwx+rru+F+Vdjgj5rR0KbxB0dbejqTEXAoEtBAIx+P/3L5c7PovQ6urqMHfuXGblev+FdFeuXEFcXJzB7/2nn35CUlISMyxPCMHx48cRGBhoMKRoJIxmRbJOJJXzp6JTWgOFohNKZVffv4ouKBRdUCo64eAYiKCQe8DhGBZcKraUWwkquBMYDocz6GpmjUaD9vZ2tLS0oKamBtnZ2ejp6QHQl7Ci/8IpY/ML29raIjw8nKmvqlKpUFdXh4qKCpw/fx4A4OnpiYCAALMKMJvNRkhICEJCQtDc3IxLly5BJpMhPj4eU6ZMGXJRVH/kbUoUHKiCz1wXhKz0RtlP9dDIB87XdsuAikouwsNUKCi0R1lnLcqb8vTacTh8CARiePkkwcs70Wyl5fTslcvB5/PBZrORl5enJ5RyuRxlZWUGi8vn5ORAJBIxnjEhBKdOnYK7u7vBYgemYs7QH96Z62j3b0VVZepNe1gIDL4LPr5zBx1JoWJLudWggjtJ4XA4jGfbH0IIpFIpmpubUVdXh+zsbPT29oLNZsPJyYlZPOXk5DTsvCmPx4O/vz9TlUaj0egJMJvNhq+vL6ZMmQJXV1ezDEG7uLjgnnvugUwmQ2ZmJi5cuICYmBimmtCwYkCAmrPNEHlZIfxeX1SnNqGzuof5bhRyKbq66lFZXo/yUjni4oORnlYyoBuxvR8CAhfBzs5886A3U15ejoCAAABAQUEBVq1axey7cOECZs2aNeA7bWxsxI0bN3Dvvfcy286ePQsrKyskJCSM2iZzii0hBC2QoLuyXG87FzxEIRHOpTZA6dUBnzM1oxStAkSZLFDBvcVgsVjMMHVwcDCzXaPRoKWlBY2NjcjOzkZraysIIRCLxfDw8ICnpydcXFyG9Fo5HA58fX3h69tXWFylUqG6uhrXrl1Dc3MzbGxsEBgYiMDAQJOr9tyMjY0NkpOToVKpkJOTg7179yIsLAxsLmvQ0J7+dNf1ovCrakxZ4gGxvw1q0ptxnWSg+dxhpg2LxYZCIcWmTQ9h7949UKlUENv7Y0rgItg7BIzKfmMoLS1FcnIyOjo6mDzdQF8ijMbGRqSkpOi1l8vl+Omnn/QKD1y6dAkqlQoLFiwwi03mSG6hJHLUoRJ1KIccPWCBBRHE6IYU1rBFDGbBhjV4RjJa85Zyq8IiNwec3uJ0dnZCLBZDKpUaHRZ0q6LzhnWLp5qbm6HRaODg4AAvLy94e3vD0dHRaM+1q6sLZWVlKCsrg1wuh7e3N4KDg+Hh4TFq71er1SI/Px/Z2dkICgrCKynvDwjvGQzXGHs4h9sh7fvzaO1uhi3sYT0jCTY2buBweACphJeHAnmFLNjbBxtl66+nnh/V+RBCsG/fPmzevBlnz56Fj48P4+2eOHECMTExevmQCSE4fPgwEhMTmSIHOTk5qKurw9133z0mC9xGIryFJAv1qAQBAR9CeCEAXgiAFG2QoApRmAEua+jY8JHkTO7P7Si65r6v6fqbjxXD/l43oyYqpOI7eo81APVwb2P6e8O6eVtCCNrb21FXV4fLly+jra0NHA4HHh4e8Pb2hre396BZo2xtbZm4W61Wi9raWhQUFODXX3+FWCxGaGgoAgICRpSMg81mY+rUqYiKisKNGzew+dN7EBAQgH/c+e9hhbfpWge6anuQsnouatKbIa2UAVcaobmzb7hYqXRCj9was2ZqcaMYGI9H0ObmZri4uIAQgsrKSsydOxdAX6hPT0/PgOIDFy9eZFaQA33JMCorK7FixYoxy4o2Mm+XBXs4wxuBcIEn2P83980iLLjCy2hbRyO61NulTFSoh0sZFrVaDYlEgtraWtTV1UGhUMDe3h6+vr7w8/Mz6ntsb29HUVERKioqwOPxEBwcPKpKQ4QQFBUV4cqVK/jl4wuQXG6FVjX0pczmsRC4xBPyDiVqzjYz23UhLE5OGjg7alFUwgUwtDCM1sO9cOEC3NzcwOVyUV5ezgwfHz16FLNnz9bLGlVdXY3MzEysWrUKLBYLZWVluHr1KlavXm32leODYazwEkJG9QDQP5zIHIumbhfRpR7u5IB6uJRh4XK58PHxYbwrQgg6OjpQXV2N1NRUdHZ2QiQSMWFGDg4OA266Dg4OmDlzJmbOnIne3l4UFxfjhx9+gFarRVBQEMLCwkwKa2KxWAgLC0NoaCji4+P7hHfXBUgy20A0hoVXqyIoOVYHt+kOCFvng5Lv66CRa5kbe+udceBygMApGpSVczCc6I6G6upqzJgxAydOnGC824aGBrDZbD2x7e7uxpkzZ5iiBDU1Nbh8+TLWrVs3bmILGO/tmktszQX1dikTCSq4FJNhsVhMFSNd3t/u7m5UVVUhIyMDHR0dsLGxgZ+fHwICAgbEGVtZWTGVhpRKJUpKSvDTTz9BqVQiODgY4eHhRosvi8VCeHg4QkNDMX36dOx55ws050rRmNMODOLwNma3Q9bQi/B7fVHxcwNkjXIAfR5VCwBBkhP8Qr1RVTM2fx66vNdarRYymYypMHX27FkmpzKgX5RAIBBAIpEgLS3NqALyY8FkLNOngwovZSJABZdiFkQiESIjI5ki6t3d3aisrER6ejo6OzthZ2eHKVOmICAgQG8FM5/Px9NTt+KU9hAjvj/++CM0Gg1CQkIQHh5uVNpJ3RzvP3e/iezsbOz790FIrrSi9UaXwfbdEjluHKpB8HIvtORL0ZwnZfbVZbTCz5oL704Vau3Mv1q5srIS/v7+KCwsZGJvq6qqIBaL9fJLp6amIiIiAq6urmhpacGpU6ewbt06i1aGAsZGeC2dYpNCGQ+o4FLGBJFIhKioKCapfkdHB8rLy/Hjjz9CLpfD3d0dgYGBzDB1fw8kMjISCoUCRUVFOHbsGNhsNiIiIhASEjKsZ3cXry+vMJvLgudMZ0RsckTN2SZ01fYOaKvu1aDw62r4L3CDjYcQlacbGa+46pdGBC33gmtJCZo8gwd8djSUlZVhxowZOHnyJNasWQNCCM6dO6cXh1tcXIyenh7ccccd6OjowPHjx7FmzZoRz3lPdPrP11IvlHKrQgWXMi7Y29sjNjYWsbGxIIRAIpGgrKwMGRkZCFvrg45KGdpLuvSENzo6GtHR0ZDJZCgoKMDXX38NkUiE6Oho+Pn5DZmBSqsmqD3XDK41B77zXOA5wwlVZ5ogb1fqG0aAylONcJkqRvi9vij5rg5qeV9xibIf6hC61gcKlRbSTvNlmmptbQWbzYa1tTX4fD6Kiorg4+PDeP4dHR24dOkSNm7ciO7ubnz33XdYsWLFsPV/bwWo2FJuZajgUsYdFosFT09Pptbvf39zFPZTbOAz1wUCMQ89zQqsnfIQDpbsBofDgY2NDRISEpCQkIC2tjbk5ubi7Nmz8Pb2xrRp07De+XeDHkvdo0H5Tw0QOvDhl+IKZbca1WebBqR8bM6VoqdZgbB7fVB2QoLeFgWIFihsd0FkuAplFVz09IxedNvb22Fvb49r164hJiYGWq0Wly5dYir+qNVqfP/997jnnnugUqlw5MgRLF261KgqVZMZKrSU2wEquBSLo1Fq0Xqji5lvtXYVwDHYFs8+8FdolBo8+uKDCA4Oho2NDRwdHZGcnAxCCNb4PwTXmO8QsdEPrTc60ZIvhUZpOCZX3q5E0ZFa2PlaI2yND9pKutCQ2QbSr7msQY6iw7UIXuGF+kut6CjrhlbLwo0iHsLDVLhRzINSObqVy6WlpQgMDMSVK1eQnJyM69evIywsDHw+HwDw888/IzExETY2Nvj666+xcOHCIStOTXao0FJuJ6jgUiYcPU0K9DQpgPMt4Fpx8Hbxf+AQZIvZaxLg6+uL0NBQbHJ7AkBfyT02lwWncDuErPKGuleDxpx2Jn/yzXRW9yB/XxVcp9kj8j5/1F5oQUdZN7NfJVOj8GA1gpZ6wtpZgBoQqNQsFJfyEBaiQn4hDxrNyEW3oqIC06dPh6+vLzQaDa5du8aU37t+/TqEQiGmTJmCQ4cOYd68eUyt3FsRKraU2w0quJQJjbpXg+ZcKZpzpSj5rg52ftZwCrVF5GZ/yBp60VrUha7aHqaNQMyD23QH+Ca7or28G0057VDJNAP6bcrpQGtBJ7znusB9ugMqf2lk5neJpi9e1/PBGAQJ1Cgr50IuZ6GiiouwEDUKbozsz0aj0UCj0aCgoADz5s1DVlYWYmJiwOFw0NTUhPz8fKxduxbffvstEhISmJzVtxpUaCm3K1RwKZMGoiWQVsggrZABAGzchHAKs4PvPBfIpSq0FnZCWiFDdWoTwAIcAkWYclefh9iY06HnyQJ9Q9lVvzRC6MiH/wI39LYqUJPewqSKrKnlwtlJg4gwNYqKuejqYqOhiSA4UD2ijErV1dXw9PREfX09rK2tUVRUhM2bN0OhUODHH3/E6tWrcfz4cURGRjKl9241qNhSbmeo4FIszkgr1Mga5UzSCqEDH05htvBMdIK6R43WG51oL+1Ge2k3eDZcuE23h/csZ3RUyNCY3Q6VTM30833LPgDAvSG/QcRGXzRktqGloBOcX7LQDkC+YjoiwlUoLuGhtZUDoYAgPT0d8+bNM8ne0tJS8Pl8hIeH4+LFi5g5cyZYLBZOnDiB5ORkpKenw9/fHxERESZ/F5MBKraU2x3zV9WmUEbAKe2hUd2Q5e1K1GW0omB/FSpPN4Jvy0PoWh+ErvaG2M8a9ZfakPdlJbolvZhyl0ffdn8bnNR8zfTxdfFn2P7pNggdBQjf4Asr574EE73fZaOohIeQYBXsbLWoq+dAJpMhNzfXJBsbGxtRW1sLPz8/1NXVITg4GFeuXIGbmxtKS0vh5OSEadOmjfg7oFAoExsquJQJhTm8IGW3GpIrbSj8qhrlP0nAEXIQutoboWt8wBVyUHKsDm/seQV/3PMQvvzyS1y8eBFyeZ+nzOVy8dnZnSg/IYHvPBf4L3ADm8eG+sRV3NiVDx9vDVyctVi8eDEKCwtRXV1tlE1dXV3g8XgQiUS4dOkS5syZg7q6OlRXV0Oj0YDH4yExMXHU5z6ZkEgkuHDhAm6z+imU2xg6pEyZcJgzdaCqR4PGq+1ovNoOrhUHr539M0pKSnDy5EmEh4dj5syZqKiowNGjR2FjY4P4+Hh4eHjgh479AIB1wX3DzJIrbWgt7MSND64jcIkHMjIysGLFCnz99ddYunQpHB0dh7SjrKwMABAUFIT8/Hw4Ozvj0KFDCA4ORnd3NxYuXDjqc53IqIkKZ86cweXLl5lXb28vfv311zErL0ihTDRoeT7KhMdcOXv7e88ymQyFhYUoKSkBn89HREQEHBwckJ2djba2NkRHRyM8PBxcLhdqtRq/XfAkbNyEqDjVAEWHClvTn0ZHRwdmz56NY8eOYd26dUOmXTx8+DA6Ozvh4OCAxMREnD17Fh4eHpBKpbjnnnsmpegY87vISS9ykQEp2vS2Ozo64tdff2WKX1BGBy3PNzmgQ8qUCc9oh5kNzQ/rvNmNGzdi8eLF6Orqwq+//gqFQoHp06ejt7cXBw4cwJkzZ9Db24s9qTtReboRUxZ5wGeuCxITE+Hn54eTJ09i/vz5OHr0KDSageFHQF/Vn7a2Nri5uQEAioqKYGtri5aWFixdunRSiq2xCFlW8IR+AQgHBwecPn2aii3ltoN6uBRKP6RSKfLz81FeXg6xWAwXFxfU1taCzWYjISEBXl5eKCwsRFZWFubNmwcWi4X09HRERkaipqYGy5YtGyCgtbW1+OGHH2BnZ4fIyEjk5eWBx+NhzZo141rTdrzJycnBX//6V5w8eRIsFguEENjb2+P06dOIi6PVgcwJ9XAnB9TDpVD6IRaLMWvWLGzevBmzZs2CQqFAb28vuFwusrKysG/fPqhUKqxevRoFBQXIycnBvHnzkJubCysrK1y4cGFAn1qtFiwWCzY2Nrh8+TIIIVi1atUtK7ZVVVV44IEHEBsbi1OnTuGhhx7CL7/8ArFYjJMnT1Kxpdy20EVTFMogODk5MXmbGxsbkZeXB6lUioKCAly9ehX+/v4IDg5GWloagoODUVJSAh6PBycnJ6bOLQD09PSAEIKmpiZwOBysW7cOPJ5pXsNkYdeuXXjmmWegUCiwZMkSvPnmm4iOjkZLSwtOnjyJhIQES5tIoVgMi3u4O3fuREBAAIRCIeLi4pCenj5k+7S0NMTFxTE5Zz/88MNxspRyu8JiseDu7o4FCxbggQcewOzZs+Hq6oqysjL8+uuv4PP5kEqlYLPZUCqVOHv2LCQSCfN5Ho8HQgjUajU2bNhg8QLyY0lERASioqLwyy+/4MSJE4iOjgYAODs7Y8aMGRa2jjKRGUst+Oqrr8BisbBy5UozW20aFhXcgwcP4umnn8aLL76I7OxszJ07F0uWLBk0trGiogJ333035s6di+zsbPztb3/Dk08+icOHD4+z5ZTbFRaLBT8/P9xzzz14+OGHkZKSAqCvYHx7ezsUCgXUajUOHTqE7u6+VJKdnZ3o7e3F5s2bmZq3tyrJycm4cuUK7rjjDkubQplEjKUWVFVV4bnnnsPcuXPH+jSGxaKLphITExEbG4tdu3Yx28LDw7Fy5Ups27ZtQPu//vWvOHbsGAoLC5ltjz/+OK5du4aMjAyjjkkXTVHGAqVSiby8PFy5cgVtbW3QarVYt24dQkJC0NjYCA6Hc0uX2aNYlsm+aGqstECj0SA5ORm/+c1vkJ6ejo6ODhw9etSk8zEnFpvDVSqVyMrKwvPPP6+3fdGiRQYXngBARkYGFi1apLdt8eLF2L17N1QqlcF5MYVCAYVCwbyXSqUA+i4oCsWcBAUFISgoCN3d3UhPTweHw0FnZycTn0uvOcpYobu2zO0/qaECTOxSDZWeTToEAoHB6ZSx1IJXX30VLi4ueOSRR4Ydoh4PLCa4LS0t0Gg0TGyiDjc3NzQ0NBj8TENDg8H2arUaLS0tBmuHbtu2Da+88sqA7T4+PqOwnkKhUCYeXV1dEIvFo+6Hz+fD3d0d5xpOjOjzIpFowD12y5Yt2Lp164C2Y6UF58+fx+7du5GTkzOicxgLLL5K+eaYxeHKnhlqb2i7jhdeeAHPPvss816XhMDJyWnSJBzo7OyEj48PampqbrlhcHpuk5db+fwm27kRQtDV1QVPT0+z9CcUClFRUQGlUjlie26+vw63WNCcWtDV1YXNmzfjk08+mVBTORYTXGdnZ3A4nAFPME1NTQOeXHS4u7sbbM/lcuHk5GTwM4aGMezt7UduuAWxs7ObFH/8I4Ge2+TlVj6/yXRu5vBs+yMUCiEUCs3apyHGQgvy8/NRWVmJZcuWMfu12r4611wuF0VFRQgMDDTzmQyPxVYp8/l8xMXF4dSpU3rbT506hVmzZhn8TFJS0oD2J0+eRHx8/C0b10ihUCi3MmOhBWFhYcjNzUVOTg7zWr58OVJSUpCTk2O5KUViQb766ivC4/HI7t27SUFBAXn66aeJjY0NqaysJIQQ8vzzz5P777+faV9eXk6sra3JM888QwoKCsju3bsJj8cj33zzjaVOYVyQSqUEAJFKpZY2xezQc5u83Mrndyuf20RkPLTgwQcfJCtWrBjrUxkSi87hrl+/Hq2trXj11VchkUgQFRWFEydOwM/PD0Bfvcz+cVgBAQE4ceIEnnnmGXzwwQfw9PTEv/71L6xZs8ZSpzAuCAQCbNmy5ZZMmEDPbfJyK5/frXxuE5HbRQtuu+IFFAqFQqFYAoundqRQKBQK5XaACi6FQqFQKOMAFVwKhUKhUMYBKrgUCoVCoYwDVHAnOK+//jpmzZoFa2vrQRN2VFdXY9myZbCxsYGzszOefPLJEWeIsST+/v5gsVh6r5vzq04mTC03NhnYunXrgN/I3d3d0maNmLNnz2LZsmXw9PQEi8UakNieEIKtW7fC09MTVlZWmD9/PvLz8y1jLGXSQwV3gqNUKrFu3Tr8/ve/N7hfo9Fg6dKlkMlkOHfuHL766iscPnwYf/rTn8bZUvOgCwvQvV566SVLmzQiTC03NpmIjIzU+41yc3MtbdKIkclkiImJwX/+8x+D+99++228++67+M9//oMrV67A3d0dCxcuRFdX1zhbSrklsGgUMMVoPvvsMyIWiwdsP3HiBGGz2aSuro7ZduDAASIQCCZd0L6fnx957733LG2GWZgxYwZ5/PHH9baFhYWR559/3kIWmYctW7aQmJgYS5sxJgAg3377LfNeq9USd3d38uabbzLb5HI5EYvF5MMPP7SAhZTJDvVwJzkZGRmIiorSS1q+ePFiKBQKZGVlWdCykfHWW2/ByckJ06ZNw+uvvz4ph8Z15cZuLh82VLmxyURJSQk8PT0REBCADRs2oLy83NImjQkVFRVoaGjQ+x0FAgGSk5Nvid+RMv5YvFoQZXQYKlPl4OAAPp8/aGmricpTTz2F2NhYODg44PLly3jhhRdQUVGBTz/91NKmmcRIyo1NFhITE/HFF18gJCQEjY2NeO211zBr1izk5+cPWkBksqL7rQz9jlVVVZYwiTLJoR6uBTC08OTmV2ZmptH9GSphRYYpbTVemHKuzzzzDJKTkxEdHY1HH30UH374IXbv3o3W1lYLn8XIMLXc2GRgyZIlWLNmDaZOnYoFCxbg+PHjAID//ve/FrZs7LgVf0eKZaAergX44x//iA0bNgzZxt/f36i+3N3dcenSJb1t7e3tUKlUg5a2Gk9Gc64zZ84EAJSWlk4q72kk5cYmKzY2Npg6dSpKSkosbYrZ0a2+bmhogIeHB7P9VvwdKeMDFVwL4OzsbLaiyElJSXj99dchkUiYm8LJkychEAgQFxdnlmOMhtGca3Z2NgDo3ewmA/3Lja1atYrZfurUKaxYscKClpkfhUKBwsJCzJ0719KmmJ2AgAC4u7vj1KlTmD59OoC++fm0tDS89dZbFraOMhmhgjvBqa6uRltbG6qrq6HRaJCTkwMACAoKgkgkwqJFixAREYH7778f27dvR1tbG5577jk89thjk6ZwNtC3+OvixYtISUmBWCzGlStX8Mwzz2D58uXw9fW1tHkm8+yzz+L+++9HfHw8kpKS8PHHH6O6uhqPP/64pU0bFc899xyWLVsGX19fNDU14bXXXkNnZycefPBBS5s2Irq7u1FaWsq8r6ioQE5ODhwdHeHr64unn34ab7zxBoKDgxEcHIw33ngD1tbW2LRpkwWtpkxaLLxKmjIMDz74IAEw4HXmzBmmTVVVFVm6dCmxsrIijo6O5I9//CORy+WWM3oEZGVlkcTERCIWi4lQKCShoaFky5YtRCaTWdq0EfPBBx8QPz8/wufzSWxsLElLS7O0SaNm/fr1xMPDg/B4POLp6UlWr15N8vPzLW3WiDlz5ozBv68HH3yQENIXGrRlyxbi7u5OBAIBmTdvHsnNzbWs0ZRJCy3PR6FQKBTKOEBXKVMoFAqFMg5QwaVQKBQKZRyggkuhUCgUyjhABZdCoVAolHGACi6FQqFQKOMAFVwKhUKhUMYBKrgUCoVCoYwDVHApFAqFQhkHqOBSJhQsFgtHjx4dl2P1r2S0Y8eOcTmmqTz00ENYuXKlpc2YVFRWVoLFYjFpUM2Nv78/c910dHSMyTEotyZUcCm3NZGRkZBIJPjtb38LYPhygq+88oqFLf4f3d3d4PF4OHjwoN729evXg8VioaysTG97YGAg/va3v42nibckV65cweHDhy1tBmUSQgWXcsujVCoH3cflcuHu7g5ra2sAfcn5JRLJgNdDDz0Ee3v7CZW0XiQSIT4+HmfOnNHbnpaWBh8fH73ttbW1KC8vR0pKynibecugu45cXFzg6OhoYWsokxEquBbk+++/h729PbRaLQAgJycHLBYLf/7zn5k2v/vd77Bx40YAQGtrKzZu3Ahvb29YW1tj6tSpOHDgANP2o48+gpeXF9OfjuXLl+tVc/n+++8RFxcHoVCIKVOm4JVXXoFarWb2s1gsfPrpp1i1ahWsra0RHByMY8eOMfs///xz2Nvb6x3j6NGjekW5t27dimnTpmHPnj3w9fWFSCTC73//e2g0Grz99ttwd3eHq6srXn/99QHfi0QiwZIlS2BlZYWAgAAcOnRIb39dXR3Wr18PBwcHODk5YcWKFaisrGT264Zht23bBk9PT4SEhAz6G9yMSCSCu7u73uuXX37Bl19+ia+++grBwcFM2127diEwMBB8Ph+hoaH48ssv9foa7nvUaDR45JFHEBAQACsrK4SGhuL999832lYASElJQWpqKvO+sLAQvb29eOKJJ/S2nzlzBjweD7Nnz0ZZWRlWrFgBNzc3iEQiJCQk4PTp00zbF154galF3J/o6Ghs2bKFef/ZZ58hPDwcQqEQYWFh2LlzJ7NPN6x75MgRpKSkwNraGjExMcjIyGDa6K6R/uzYsUOvPrLut3zjjTfg5uYGe3t75nr985//DEdHR3h7e2PPnj0D7L1x4wZmzZoFoVCIyMhIve8DAAoKCnD33XdDJBLBzc0N999/P1paWpj98+fPxx//+Ec8++yzcHZ2xsKFCwccg0IxCUtXT7id6ejoIGw2m2RmZhJCCNmxYwdxdnYmCQkJTJuQkBCya9cuQgghtbW1ZPv27SQ7O5uUlZWRf/3rX4TD4ZCLFy8SQghpbW0lfD6fnD59mvl8W1sb4fP55OeffyaEEPLTTz8ROzs78vnnn5OysjJy8uRJ4u/vT7Zu3cp8BgDx9vYm+/fvJyUlJeTJJ58kIpGItLa2EkII+eyzz4hYLNY7l2+//Zb0v5y2bNlCRCIRWbt2LcnPzyfHjh0jfD6fLF68mPy///f/yI0bN8iePXsIAJKRkaF3bCcnJ/LJJ5+QoqIi8tJLLxEOh0MKCgoIIYTIZDISHBxMHn74YXL9+nVSUFBANm3aREJDQ4lCoSCE9FVYEolE5P777yd5eXmDVnfZsmULiYmJGfI3yszMJFZWVmT79u16248cOUJ4PB754IMPSFFREXnnnXcIh8Mhv/76q9Hfo1KpJH//+9/J5cuXSXl5Odm7dy+xtrYmBw8eZPp48MEHyYoVKwa17+TJkwQAqa+vJ4T0VShaunQpuXTpEvHy8mLa/eY3vyFz5swhhBCSk5NDPvzwQ3L9+nVSXFxMXnzxRSIUCklVVRUhhJDc3FwCgJSWljKfz8vLIwBIUVERIYSQjz/+mHh4eJDDhw+T8vJycvjwYeLo6Eg+//xzQgghFRUVBAAJCwsjP/zwAykqKiJr164lfn5+RKVSDfr9v/fee8TPz0/v/G1tbckf/vAHcuPGDbJ7924CgCxevJi8/vrrpLi4mPzjH/8gPB6PVFdX6x3b29ubfPPNN6SgoIA8+uijxNbWlrS0tBBCCKmvryfOzs7khRdeIIWFheTq1atk4cKFJCUlhTl2cnIyEYlE5M9//jO5ceMGKSwsZPbpqgy1t7cP+ttQKDdDBdfCxMbGkn/+85+EEEJWrlxJXn/9dcLn80lnZyeRSCQEgN4f+s3cfffd5E9/+hPzfvny5eThhx9m3n/00UfE3d2dqNVqQgghc+fOJW+88YZeH19++SXx8PBg3gMgL730EvO+u7ubsFgs8uOPPxJCjBdca2tr0tnZyWxbvHgx8ff3JxqNhtkWGhpKtm3bpnfsxx9/XK/vxMRE8vvf/54QQsju3btJaGgo0Wq1zH6FQkGsrKyYh4oHH3yQuLm5MQI8GMMJbmNjI/Hx8SH33XffgH2zZs0ijz32mN62devWkbvvvlvvXIb6Hg3xxBNPkDVr1jDvhxNcmUxGeDwe2b9/P2PD22+/TVQqFRGJRKS4uJgQQkhAQAB5+eWXB+0nIiKC/Pvf/2beR0dHk1dffZV5/8ILL+g9CPr4+DDH1PGPf/yDJCUlEUL+J3qffvopsz8/P1/vejZWcP38/AZcM3PnzmXeq9VqYmNjQw4cOKB37DfffJNpo1KpiLe3N3nrrbcIIYS8/PLLZNGiRXrHrqmp0XuoSE5OJtOmTTP4fVHBpYwEOqRsYebPn4/U1FQQQpCeno4VK1YgKioK586dw5kzZ+Dm5oawsDAAfUOQr7/+OqKjo+Hk5ASRSISTJ0+iurqa6e++++7D4cOHoVAoAAD79u3Dhg0bwOFwAABZWVl49dVXIRKJmNdjjz0GiUSCnp4epp/o6Gjm/zY2NrC1tUVTU5NJ5+bv7w9bW1vmvZubGyIiIsBms/W23dxvUlLSgPeFhYWM/aWlpbC1tWXsd3R0hFwu11skNHXqVPD5fJPs7Y9KpcLatWvh5uaGTz/9dMD+wsJCzJ49W2/b7NmzGTt1DPc9fvjhh4iPj4eLiwtEIhE++eQTvd9zOKytrTFjxgxmuDQtLQ3z588Hl8vF7NmzkZqaiurqalRUVOCOO+4AAMhkMvzlL39BREQE7O3tIRKJcOPGjQHX0b59+wAAhBAcOHAA9913HwCgubkZNTU1eOSRR/Suo9dee23AQq3+5+/h4QEAJl9HkZGRA66ZqVOnMu85HA6cnJyGvI64XC7i4+P1rqMzZ87o2a/7O+t/DvHx8SbZSqEMBdfSBtzuzJ8/H7t378a1a9fAZrMRERGB5ORkpKWlob29HcnJyUzbd955B++99x527NiBqVOnwsbGBk8//bTeoqBly5ZBq9Xi+PHjSEhIQHp6Ot59911mv1arxSuvvILVq1cPsEUoFDL/5/F4evtYLBYzN8xms0FuKqOsUqkG9Geoj6H6HQrd/LBWq0VcXBwjBv1xcXFh/m9jYzNsn0Px5JNPori4GJmZmXrfiyGbdBBCBmwb6ny//vprPPPMM3jnnXeQlJQEW1tbbN++HZcuXTLJ1pSUFBw8eBD5+fno7e1FbGwsACA5ORlnzpwBn8+HUChk5mX//Oc/4+eff8Y///lPBAUFwcrKCmvXrtW7jjZt2oTnn38eV69eRW9vL2pqarBhwwYAYOz/5JNPkJiYqGeL7sHO0Pn3/w0By19Hy5Ytw1tvvTWgje7BABj9dUSh9IcKroWZN28eurq6sGPHDiQnJ4PFYiE5ORnbtm1De3s7nnrqKaatzgPevHkzgL6bRklJCcLDw5k2VlZWWL16Nfbt24fS0lKEhIQgLi6O2R8bG4uioiIEBQWN2GYXFxd0dXVBJpMxNyRzxjxevHgRDzzwgN776dOnA+iz/+DBg3B1dYWdnZ3Zjtmfjz/+GHv27MGZM2fg7e1tsE14eDjOnTunZ+eFCxf0fovhSE9Px6xZs/DEE08w2272EI0hJSUFr732Gvbv3485c+YwopecnIx///vfEAgESEpKYh4c0tPT8dBDD2HVqlUA+sKL+i86AwBvb2/MmzcP+/btQ29vLxYsWAA3NzcAfR6ml5cXysvLGa93JLi4uKChoUHvQcXc19G8efMAAGq1GllZWfjjH/8IoO86Onz4MPz9/cHl0tsgZXygQ8oWRiwWY9q0adi7dy/mz58PoE+Er169iuLiYmYbAAQFBeHUqVO4cOECCgsL8bvf/Q4NDQ0D+rzvvvtw/Phx7NmzhxFnHX//+9/xxRdfYOvWrcjPz0dhYSEOHjyIl156yWibExMTYW1tjb/97W8oLS3F/v378fnnn4/k9A1y6NAh7NmzB8XFxdiyZQsuX77M3Cjvu+8+ODs7Y8WKFUhPT0dFRQXS0tLw1FNPoba2dtTHPn/+PP7f//t/+Pvf/44pU6agoaFB7yWVSgH0eYmff/45PvzwQ5SUlODdd9/FkSNH8Nxzzxl9rKCgIGRmZuLnn39GcXExXn75ZVy5csVkm2fNmgWBQIB///vfeiMiCQkJkEqlOHz4sF44UFBQEI4cOYKcnBxcu3YNmzZtMugd3nffffjqq69w6NChAdfR1q1bsW3bNrz//vsoLi5Gbm4uPvvsM73RlOGYP38+mpub8fbbb6OsrAwffPABfvzxR5PPfzA++OADfPvtt7hx4wb+8Ic/oL29HQ8//DAA4A9/+APa2tqwceNGXL58GeXl5Th58iQefvhhaDQas9lAofSHCu4EICUlBRqNhhFXBwcHREREwMXFRc9jevnllxEbG4vFixdj/vz5cHd3N5iF6I477oCjoyOKiooGxI0uXrwYP/zwA06dOoWEhATMnDkT7777Lvz8/Iy219HREXv37sWJEyeY0KStW7eO5NQN8sorr+Crr75CdHQ0/vvf/2Lfvn2IiIgA0DdnefbsWfj6+mL16tUIDw/Hww8/jN7eXrN4vJ9++imUSiVeeukleHh4DHjpRhxWrlyJ999/H9u3b0dkZCQ++ugjfPbZZ3oPSMPx+OOPY/Xq1Vi/fj0SExPR2tqq5+0ai264uKurS+/4PB4PSUlJ6Orq0hPc9957Dw4ODpg1axaWLVuGxYsXM8PQ/Vm3bh1aW1vR09Mz4Dp79NFH8emnn+Lzzz/H1KlTkZycjM8//xwBAQFG2x0eHo6dO3figw8+QExMDC5fvmzSA8twvPnmm3jrrbcQExOD9PR0fPfdd3B2dgYAeHp64vz589BoNFi8eDGioqLw1FNPQSwW680XUyjmhEVunkShUG4Ttm7diqNHj45ZCkDKrUtqaipSUlLQ3t4+ICadQhkM+ihHua3Jzc2FSCTSS9pAoQxFZGQklixZYmkzKJMQ6uFSblva2trQ1tYGoG8Bj1gstrBFlMlAVVUVs5p6ypQpdAiaYjRUcCkUCoVCGQfooxmFQqFQKOMAFVwKhUKhUMYBKrgUCoVCoYwDVHApFAqFQhkHqOBSKBQKhTIOUMGlUCgUCmUcoIJLoVAoFMo4QAWXQqFQKJRx4P8DrkzsRW0SADYAAAAASUVORK5CYII=", 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", 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    " ] @@ -142,7 +134,7 @@ ], "metadata": { "kernelspec": { - "display_name": "base", + "display_name": "pywk99", "language": "python", "name": "python3" }, @@ -156,7 +148,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.10" + "version": "3.13.5" } }, "nbformat": 4, From deb12e57a1f4495d86fa3e04b545cbbd54a3adf4 Mon Sep 17 00:00:00 2001 From: sortega87 Date: Fri, 22 Aug 2025 09:45:52 +0200 Subject: [PATCH 18/18] Fixing typo in test_spectrum_coh2.py --- tests/test_spectrum_coh2.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_spectrum_coh2.py b/tests/test_spectrum_coh2.py index c1340fd..789ca16 100644 --- a/tests/test_spectrum_coh2.py +++ b/tests/test_spectrum_coh2.py @@ -28,5 +28,5 @@ def cross_spectrum(variables, request): def test_coherence_squared_is_one_for_the_same_field(cross_spectrum) -> None: - cho2 = cross_spectrum.coherence_squared - assert np.all(np.ravel(cho2.values) == pytest.approx(1.0)) \ No newline at end of file + coh2 = cross_spectrum.coherence_squared + assert np.all(np.ravel(coh2.values) == pytest.approx(1.0))