From d88f77aaeb9140f01fc2e571c0a8fc72aa202107 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Thu, 7 Dec 2023 07:48:10 +0100 Subject: [PATCH 01/40] current status as method --- pymc_marketing/mmm/delayed_saturated_mmm.py | 167 +++++++++++++++++++- 1 file changed, 166 insertions(+), 1 deletion(-) diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index c2d13253c..10eed338b 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -1,6 +1,6 @@ import json from pathlib import Path -from typing import Any, Dict, List, Optional, Union +from typing import Any, Callable, Dict, List, Optional, Union import arviz as az import matplotlib.pyplot as plt @@ -814,3 +814,168 @@ def plot_channel_contributions_grid( ylabel="contribution", ) return fig + + def new_spends_contributions( + self, + spends: np.ndarray, + one_time: bool = True, + spends_leading_up: Optional[np.ndarray] = None, + prior: bool = False, + ) -> DataArray: + """Return the upcoming contributions for a given spend. + + Parameters + ---------- + spends : np.ndarray + Array of spends for each channel + one_time : bool, optional + Whether the spends are one time (at start of period) or constant (over period), by default True (one time) + spends_leading_up : np.array, optional + Array of spends for each channel leading up to the spends, by default None (no spends leading up) + prior : bool, optional + Whether to use the prior or posterior, by default False (posterior) + + Returns + ------- + DataArray + Upcoming contributions for each channel + + + """ + if spends_leading_up is None: + spends_leading_up = np.zeros_like(spends) + + if len(spends) != len(self.channel_columns): + raise ValueError("spends must be the same length as the number of channels") + + if len(spends_leading_up) != len(self.channel_columns): + raise ValueError( + "spends_leading_up must be the same length as the number of channels" + ) + + spends_leading_up = np.tile(spends_leading_up, self.adstock_max_lag).reshape( + self.adstock_max_lag, -1 + ) + + spends = ( + np.vstack( + [spends, np.zeros((self.adstock_max_lag, len(self.channel_columns)))] + ) + if one_time + else np.ones((self.adstock_max_lag + 1, len(self.channel_columns))) * spends + ) + + new_data = np.vstack( + [ + spends_leading_up, + spends, + ] + ) + + new_data = self.channel_transformer.transform(new_data) + idata = self.idata + + coords = { + "weeks_since_spend": np.arange( + -self.adstock_max_lag, self.adstock_max_lag + 1 + ), + "channel": self.channel_columns, + } + with pm.Model(coords=coords): + alpha = pm.Uniform("alpha", lower=0, upper=1, dims=("channel",)) + lam = pm.HalfFlat("lam", dims=("channel",)) + beta_channel = pm.HalfFlat("beta_channel", dims=("channel",)) + + channel_adstock = geometric_adstock( + x=new_data, + alpha=alpha, + l_max=self.adstock_max_lag, + normalize=True, + axis=0, + ) + channel_adstock_saturated = logistic_saturation(x=channel_adstock, lam=lam) + pm.Deterministic( + name="channel_contributions", + var=channel_adstock_saturated * beta_channel, + dims=("weeks_since_spend", "channel"), + ) + + samples = pm.sample_posterior_predictive( + idata, + var_names=["channel_contributions"], + ) + + return samples.posterior_predictive["channel_contributions"] + + def plot_new_spends_contributions( + self, + amount_spent: float, + ax: Optional[plt.Axes] = None, + one_time: bool = True, + ylabel: bool = True, + idx=None, + ) -> None: + ax = ax or plt.gca() + n_channels = len(self.channel_columns) + spends = self.new_spends_contributions( + np.ones(n_channels) * amount_spent, + one_time=one_time, + spends_leading_up=np.ones(n_channels) * amount_spent, + ) + + def inverse_transform_on_nparray( + data: np.ndarray, + inverse_transform: Callable[[np.ndarray], np.ndarray], + ) -> np.ndarray: + shape = data.shape + + data = data.reshape(-1, shape[-1]) + data = inverse_transform(data) + data = data.reshape(shape) + + return data + + def inverse_transform_on_series( + data: pd.Series, + inverse_transform: Callable[[np.ndarray], np.ndarray], + ) -> pd.Series: + index = data.index + data_np = data.to_numpy() + data_np = inverse_transform_on_nparray(data_np, inverse_transform) + result_ser = pd.Series(data_np, index=index) + return result_ser + + idx = idx or pd.IndexSlice[0:] + + spends_inverse_transformed = ( + spends.to_series() + .pipe( + inverse_transform_on_series, + inverse_transform=self.target_transformer.inverse_transform, + ) + .unstack() + ) + conf = ( + spends_inverse_transformed.groupby(level=-1) + .quantile([0.025, 0.975]) + .unstack() + .loc[idx] + ) + + for channel in self.channel_columns: + ax.fill_between( + conf.index, + conf[channel][0.025], + conf[channel][0.975], + label=f"{channel} 95% CI", + alpha=0.5, + ) + tmp = spends_inverse_transformed.groupby(level=-1).mean().loc[idx] + tmp.add_suffix(" mean").plot(ax=ax, color=["C0", "C1"], alpha=0.6) + ax.legend().set_title("Channel") + ax.set( + xlabel="Weeks since spend", + ylabel="Sales" if ylabel else None, + title=f"Upcoming sales for {amount_spent:.02f} spend", + ) + return ax From 32f9d02926f1f3ebcedeb158907fa0a5282e4287 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Thu, 7 Dec 2023 20:22:44 +0100 Subject: [PATCH 02/40] format --- pymc_marketing/mmm/base.py | 8 +++++ pymc_marketing/mmm/delayed_saturated_mmm.py | 34 +++++++++++++++------ 2 files changed, 32 insertions(+), 10 deletions(-) diff --git a/pymc_marketing/mmm/base.py b/pymc_marketing/mmm/base.py index 7f42b1514..a431ecd98 100644 --- a/pymc_marketing/mmm/base.py +++ b/pymc_marketing/mmm/base.py @@ -233,6 +233,14 @@ def get_target_transformer(self) -> Pipeline: identity_transformer = FunctionTransformer() return Pipeline(steps=[("scaler", identity_transformer)]) + @property + def prior(self) -> Dataset: + if self.idata is None or "prior" not in self.idata: + raise RuntimeError( + "The model hasn't been fit yet, call .sample_prior_predictive() first" + ) + return self.idata["prior"] + @property def prior_predictive(self) -> az.InferenceData: if self.idata is None or "prior_predictive" not in self.idata: diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index 10eed338b..efff043e9 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -10,7 +10,7 @@ import pymc as pm import seaborn as sns from pytensor.tensor import TensorVariable -from xarray import DataArray +from xarray import DataArray, Dataset from pymc_marketing.mmm.base import MMM from pymc_marketing.mmm.preprocessing import MaxAbsScaleChannels, MaxAbsScaleTarget @@ -872,8 +872,11 @@ def new_spends_contributions( ] ) - new_data = self.channel_transformer.transform(new_data) - idata = self.idata + new_data = ( + self.channel_transformer.transform(new_data) if not prior else new_data + ) + + idata: Dataset = self.fit_result if not prior else self.prior coords = { "weeks_since_spend": np.arange( @@ -912,8 +915,9 @@ def plot_new_spends_contributions( amount_spent: float, ax: Optional[plt.Axes] = None, one_time: bool = True, - ylabel: bool = True, + ylabel: str = "Sales", idx=None, + prior: bool = False, ) -> None: ax = ax or plt.gca() n_channels = len(self.channel_columns) @@ -921,6 +925,7 @@ def plot_new_spends_contributions( np.ones(n_channels) * amount_spent, one_time=one_time, spends_leading_up=np.ones(n_channels) * amount_spent, + prior=prior, ) def inverse_transform_on_nparray( @@ -947,27 +952,36 @@ def inverse_transform_on_series( idx = idx or pd.IndexSlice[0:] + def identity(x): + return x + + inverse_transform = ( + self.target_transformer.inverse_transform if not prior else identity + ) spends_inverse_transformed = ( spends.to_series() .pipe( inverse_transform_on_series, - inverse_transform=self.target_transformer.inverse_transform, + inverse_transform=inverse_transform, ) .unstack() ) + + quantiles = [0.025, 0.975] conf = ( spends_inverse_transformed.groupby(level=-1) - .quantile([0.025, 0.975]) + .quantile(quantiles) .unstack() .loc[idx] ) + lower, upper = quantiles for channel in self.channel_columns: ax.fill_between( conf.index, - conf[channel][0.025], - conf[channel][0.975], - label=f"{channel} 95% CI", + conf[channel][lower], + conf[channel][upper], + label=f"{channel} {100 * (upper - lower):.0f}% CI", alpha=0.5, ) tmp = spends_inverse_transformed.groupby(level=-1).mean().loc[idx] @@ -975,7 +989,7 @@ def inverse_transform_on_series( ax.legend().set_title("Channel") ax.set( xlabel="Weeks since spend", - ylabel="Sales" if ylabel else None, + ylabel=ylabel, title=f"Upcoming sales for {amount_spent:.02f} spend", ) return ax From 65f4153ead53ffc19d98162ac286f7305532d331 Mon Sep 17 00:00:00 2001 From: Juan Orduz Date: Thu, 7 Dec 2023 09:50:47 +0100 Subject: [PATCH 03/40] Update version.txt --- pymc_marketing/version.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pymc_marketing/version.txt b/pymc_marketing/version.txt index 9e11b32fc..d15723fbe 100644 --- a/pymc_marketing/version.txt +++ b/pymc_marketing/version.txt @@ -1 +1 @@ -0.3.1 +0.3.2 From d00cc7531ec3b0a5fe76cbc53b57b982a28c4ec3 Mon Sep 17 00:00:00 2001 From: Abdalaziz Rashid Date: Thu, 7 Dec 2023 18:24:56 +0300 Subject: [PATCH 04/40] Implement different convolution modes (#454) --- pymc_marketing/mmm/transformers.py | 46 ++++++++++++++++++++++++------ tests/mmm/test_transformers.py | 24 +++++++++++++--- 2 files changed, 58 insertions(+), 12 deletions(-) diff --git a/pymc_marketing/mmm/transformers.py b/pymc_marketing/mmm/transformers.py index caa47a4d3..d469769f9 100644 --- a/pymc_marketing/mmm/transformers.py +++ b/pymc_marketing/mmm/transformers.py @@ -1,3 +1,4 @@ +from enum import Enum from typing import Union import numpy as np @@ -6,7 +7,13 @@ from pytensor.tensor.random.utils import params_broadcast_shapes -def batched_convolution(x, w, axis: int = 0): +class ConvMode(Enum): + After = "After" + Before = "Before" + Overlap = "Overlap" + + +def batched_convolution(x, w, axis: int = 0, mode: ConvMode = ConvMode.Before): """Apply a 1D convolution in a vectorized way across multiple batch dimensions. Parameters @@ -18,6 +25,12 @@ def batched_convolution(x, w, axis: int = 0): to use in the convolution. axis : int The axis of ``x`` along witch to apply the convolution + mode : ConvMode, optional + The convolution mode determines how the convolution is applied at the boundaries of the input signal, denoted as "x." The default mode is ConvMode.Before. + + - ConvMode.After: Applies the convolution with the "Adstock" effect, resulting in a trailing decay effect. + - ConvMode.Before: Applies the convolution with the "Excitement" effect, creating a leading effect similar to the wow factor. + - ConvMode.Overlap: Applies the convolution with both "Pull-Forward" and "Pull-Backward" effects, where the effect overlaps with both preceding and succeeding elements. Returns ------- @@ -43,22 +56,39 @@ def batched_convolution(x, w, axis: int = 0): # The last dimension of x is the "time" axis, which doesn't get broadcast # The last dimension of w is the number of time steps that go into the convolution x_shape, w_shape = params_broadcast_shapes([x.shape, w.shape], [1, 1]) + x = pt.broadcast_to(x, x_shape) w = pt.broadcast_to(w, w_shape) x_time = x.shape[-1] - shape = (*x.shape, w.shape[-1]) # Make a tensor with x at the different time lags needed for the convolution + x_shape = x.shape + # Add the size of the kernel to the time axis + shape = (*x_shape[:-1], x_shape[-1] + w.shape[-1] - 1, w.shape[-1]) padded_x = pt.zeros(shape, dtype=x.dtype) - if l_max is not None: - for i in range(l_max): - padded_x = pt.set_subtensor( - padded_x[..., i:x_time, i], x[..., : x_time - i] - ) - else: # pragma: no cover + + if l_max is None: # pragma: no cover raise NotImplementedError( "At the moment, convolving with weight arrays that don't have a concrete shape " "at compile time is not supported." ) + # The window is the slice of the padded array that corresponds to the original x + if l_max <= 1: + window = slice(None) + elif mode == ConvMode.After: + window = slice(l_max - 1, None) + elif mode == ConvMode.Before: + window = slice(None, -l_max + 1) + elif mode == ConvMode.Overlap: + # Handle even and odd l_max differently if l_max is odd then we can split evenly otherwise we drop from the end + window = slice((l_max // 2) - (1 if l_max % 2 == 0 else 0), -(l_max // 2)) + else: + raise ValueError(f"Wrong Mode: {mode}, expected of ConvMode") + + for i in range(l_max): + padded_x = pt.set_subtensor(padded_x[..., i : x_time + i, i], x) + + padded_x = padded_x[..., window, :] + # The convolution is treated as an element-wise product, that then gets reduced # along the dimension that represents the convolution time lags conv = pt.sum(padded_x * w[..., None, :], axis=-1) diff --git a/tests/mmm/test_transformers.py b/tests/mmm/test_transformers.py index 2870e7155..cf2336e25 100644 --- a/tests/mmm/test_transformers.py +++ b/tests/mmm/test_transformers.py @@ -5,6 +5,7 @@ from pytensor.tensor.var import TensorVariable from pymc_marketing.mmm.transformers import ( + ConvMode, batched_convolution, delayed_adstock, geometric_adstock, @@ -51,9 +52,10 @@ def convolution_axis(request): return request.param -def test_batched_convolution(convolution_inputs, convolution_axis): +@pytest.mark.parametrize("mode", [ConvMode.After, ConvMode.Before, ConvMode.Overlap]) +def test_batched_convolution(convolution_inputs, convolution_axis, mode): x, w, x_val, w_val = convolution_inputs - y = batched_convolution(x, w, convolution_axis) + y = batched_convolution(x, w, convolution_axis, mode) if x_val is None: y_val = y.eval() expected_shape = getattr(x, "value", x).shape @@ -65,8 +67,22 @@ def test_batched_convolution(convolution_inputs, convolution_axis): x_val = np.moveaxis( x_val if x_val is not None else getattr(x, "value", x), convolution_axis, 0 ) - assert np.allclose(y_val[0], x_val[0]) - assert np.allclose(y_val[1:], x_val[1:] + x_val[:-1]) + if mode == ConvMode.Before: + np.testing.assert_allclose(y_val[0], x_val[0]) + np.testing.assert_allclose(y_val[1:], x_val[1:] + x_val[:-1]) + elif mode == ConvMode.After: + np.testing.assert_allclose(y_val[-1], x_val[-1]) + np.testing.assert_allclose(y_val[:-1], x_val[1:] + x_val[:-1]) + elif mode == ConvMode.Overlap: + np.testing.assert_allclose(y_val[0], x_val[0]) + np.testing.assert_allclose(y_val[1:-1], x_val[1:-1] + x_val[:-2]) + + +def test_batched_convolution_invalid_mode(convolution_inputs, convolution_axis): + x, w, x_val, w_val = convolution_inputs + invalid_mode = "InvalidMode" + with pytest.raises(ValueError): + batched_convolution(x, w, convolution_axis, invalid_mode) def test_batched_convolution_broadcasting(): From ea1c707313d649f6b12561d73b3baabe6f64c9fe Mon Sep 17 00:00:00 2001 From: Ricardo Vieira Date: Thu, 7 Dec 2023 12:32:00 +0100 Subject: [PATCH 05/40] Add PR template --- .github/pull_request_template.md | 37 ++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) create mode 100644 .github/pull_request_template.md diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 000000000..dde41630c --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,37 @@ + + + + + +## Description + + +## Related Issue + + +- [ ] Closes issue: # +- [ ] Related issue (not closed by this PR): # + +## Checklist + + +- [ ] Checked that [the pre-commit linting/style checks pass](https://docs.pymc.io/en/latest/contributing/python_style.html) +- [ ] Included tests that prove the fix is effective or that the new feature works +- [ ] Added necessary documentation (docstrings and/or example notebooks) +- [ ] If you are a pro: each commit corresponds to a [relevant logical change](https://wiki.openstack.org/wiki/GitCommitMessages#Structural_split_of_changes) + + +## Modules affected + +- [ ] MMM +- [ ] CLV + + +## Type of change + +- [ ] New feature / enhancement +- [ ] Bug fix +- [ ] Documentation +- [ ] Maintenance +- [ ] Other (please specify): + From 23555849f0024c54b61ac59a9580dd7a01db0e3f Mon Sep 17 00:00:00 2001 From: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com> Date: Mon, 11 Dec 2023 21:32:44 +0000 Subject: [PATCH 06/40] Update pull_request_template.md --- .github/pull_request_template.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index dde41630c..0b28010f7 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -9,8 +9,8 @@ ## Related Issue -- [ ] Closes issue: # -- [ ] Related issue (not closed by this PR): # +- [ ] Closes # +- [ ] Related to # ## Checklist From 66d58162574a38682a7d0452e869127ce7e50046 Mon Sep 17 00:00:00 2001 From: Ricardo Vieira Date: Thu, 28 Dec 2023 15:30:43 +0100 Subject: [PATCH 07/40] Fix issues in index example --- docs/source/index.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/source/index.md b/docs/source/index.md index 9cb336bef..93cb30246 100644 --- a/docs/source/index.md +++ b/docs/source/index.md @@ -65,8 +65,8 @@ To the reference guide Install and activate an environment (e.g. `marketing_env`) with the `pymc-marketing` package from [conda-forge](https://conda-forge.org). It may look something like the following: ```bash -mamba create -c conda-forge -n marketing_env pymc-marketing -mamba activate marketing_env +conda create -c conda-forge -n marketing_env pymc-marketing +conda activate marketing_env ``` See the official [PyMC installation guide](https://www.pymc.io/projects/docs/en/latest/installation.html) if more detail is needed. @@ -80,7 +80,7 @@ Create a new Jupyter notebook with either JupyterLab or VS Code. After installing the `pymc-marketing` package (see above), run the following with `marketing_env` activated: ```bash -mamba install -c conda-forge jupyterlab +conda install -c conda-forge jupyterlab jupyter lab ``` @@ -89,7 +89,7 @@ jupyter lab After installing the `pymc-marketing` package (see above), run the following with `marketing_env` activated: ```bash -mamba install -c conda-forge ipykernel +conda install -c conda-forge ipykernel ``` Start VS Code and ensure that the "Jupyter" extension is installed. Press Ctrl + Shift + P and type "Python: Select Interpreter". Ensure that `marketing_env` is selected. Press Ctrl + Shift + P and type "Create: New Jupyter Notebook". @@ -122,8 +122,8 @@ Initiate fitting and get a visualization of some of the outputs with: ```python X = data.drop('y',axis=1) y = data['y'] -model.fit(X,y) -model.plot_components_contributions(); +mmm.fit(X,y) +mmm.plot_components_contributions(); ``` See the Example notebooks section for examples of further types of plot you can get, as well as introspect the results of the fitting. From a63a12c1265e7afbeccb9fa58fa343b3434af59a Mon Sep 17 00:00:00 2001 From: Juan Orduz Date: Thu, 4 Jan 2024 20:23:49 +0100 Subject: [PATCH 08/40] Update .pre-commit-config.yaml --- .pre-commit-config.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index a4b4cabc4..cc55798ef 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,11 +1,11 @@ repos: - repo: https://github.com/charliermarsh/ruff-pre-commit - rev: v0.1.4 + rev: v0.1.11 hooks: - id: ruff - id: ruff-format - repo: https://github.com/pre-commit/mirrors-mypy - rev: v1.2.0 + rev: v1.8.0 hooks: - id: mypy args: [--ignore-missing-imports] From cc11015943afaaa5275a156fdae62c89d77c9a24 Mon Sep 17 00:00:00 2001 From: Juan Orduz Date: Fri, 5 Jan 2024 10:05:57 +0100 Subject: [PATCH 09/40] Update .pre-commit-config.yaml --- .pre-commit-config.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index cc55798ef..51debbe08 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,5 +1,5 @@ repos: - - repo: https://github.com/charliermarsh/ruff-pre-commit + - repo: https://github.com/astral-sh/ruff-pre-commit rev: v0.1.11 hooks: - id: ruff From 2bcdd2eeaa39a940a2d9e10cb489c8ca9a686a35 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sat, 9 Dec 2023 09:08:20 +0100 Subject: [PATCH 10/40] move from other PR --- docs/source/conf.py | 2 +- pymc_marketing/mmm/transformers.py | 131 ++++++++++++++++++++++++++++- 2 files changed, 130 insertions(+), 3 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 067777e61..a6c592395 100755 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -25,7 +25,7 @@ "sphinx.ext.napoleon", "sphinx_autodoc_typehints", # extensions provided by other packages - # "matplotlib.sphinxext.plot_directive", # needed to plot in docstrings + "matplotlib.sphinxext.plot_directive", # needed to plot in docstrings "myst_nb", "notfound.extension", "sphinx_copybutton", diff --git a/pymc_marketing/mmm/transformers.py b/pymc_marketing/mmm/transformers.py index d469769f9..b0332c810 100644 --- a/pymc_marketing/mmm/transformers.py +++ b/pymc_marketing/mmm/transformers.py @@ -16,6 +16,28 @@ class ConvMode(Enum): def batched_convolution(x, w, axis: int = 0, mode: ConvMode = ConvMode.Before): """Apply a 1D convolution in a vectorized way across multiple batch dimensions. + .. plot:: + :context: close-figs + + import matplotlib.pyplot as plt + import numpy as np + import arviz as az + from pymc_marketing.mmm.transformers import batched_convolution, ConvMode + plt.style.use('arviz-darkgrid') + spends = np.array([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0]) + w = np.array([0.75, 0.25, 0.125, 0.125]) + x = np.arange(-5, 6) + ax = plt.subplot(111) + for mode in [ConvMode.Before, ConvMode.Overlap, ConvMode.After]: + y = batched_convolution(spends, w, mode=mode).eval() + suffix = " (default)" if mode == ConvMode.Before else "" + plt.plot(x, y, label=f'mode = {mode}{suffix}') + plt.xlabel('time since spend', fontsize=12) + plt.ylabel('f(time since spend)', fontsize=12) + plt.title(f"1 spend at time 0 and {w = }", fontsize=14) + plt.legend() + plt.show() + Parameters ---------- x : @@ -99,13 +121,41 @@ def batched_convolution(x, w, axis: int = 0, mode: ConvMode = ConvMode.Before): def geometric_adstock( x, alpha: float = 0.0, l_max: int = 12, normalize: bool = False, axis: int = 0 ): - """Geometric adstock transformation. + R"""Geometric adstock transformation. Adstock with geometric decay assumes advertising effect peaks at the same time period as ad exposure. The cumulative media effect is a weighted average of media spend in the current time-period (e.g. week) and previous `l_max` - 1 periods (e.g. weeks). `l_max` is the maximum duration of carryover effect. + .. plot:: + :context: close-figs + + import matplotlib.pyplot as plt + import numpy as np + import arviz as az + from pymc_marketing.mmm.transformers import geometric_adstock + plt.style.use('arviz-darkgrid') + l_max = 12 + params = [ + (0.01, False), + (0.5, False), + (0.9, False), + (0.5, True), + (0.9, True), + ] + spend = np.zeros(15) + spend[0] = 1 + ax = plt.subplot(111) + x = np.arange(len(spend)) + for a, normalize in params: + y = geometric_adstock(spend, alpha=a, l_max=l_max, normalize=normalize).eval() + plt.plot(x, y, label=f'alpha = {a}, normalize = {normalize}') + plt.xlabel('time since spend', fontsize=12) + plt.title(f'Geometric Adstock with l_max = {l_max}', fontsize=14) + plt.ylabel('f(time since spend)', fontsize=12) + plt.legend() + plt.show() Parameters ---------- @@ -147,6 +197,32 @@ def delayed_adstock( This transformation is similar to geometric adstock transformation, but it allows for a delayed peak of the effect. The peak is assumed to occur at `theta`. + .. plot:: + :context: close-figs + + import matplotlib.pyplot as plt + import numpy as np + import arviz as az + from pymc_marketing.mmm.transformers import delayed_adstock + plt.style.use('arviz-darkgrid') + params = [ + (0.25, 0, False), + (0.25, 5, False), + (0.75, 5, False), + (0.75, 5, True) + ] + spend = np.zeros(15) + spend[0] = 1 + x = np.arange(len(spend)) + ax = plt.subplot(111) + for a, t, normalize in params: + y = delayed_adstock(spend, alpha=a, theta=t, normalize=normalize).eval() + plt.plot(x, y, label=f'alpha = {a}, theta = {t}, normalize = {normalize}') + plt.xlabel('time since spend', fontsize=12) + plt.ylabel('f(time since spend)', fontsize=12) + plt.legend() + plt.show() + Parameters ---------- x : tensor @@ -180,6 +256,29 @@ def delayed_adstock( def logistic_saturation(x, lam: Union[npt.NDArray[np.float_], float] = 0.5): """Logistic saturation transformation. + + .. math:: + f(x) = \\frac{1 - e^{-\lambda x}}{1 + e^{-\lambda x}} + + .. plot:: + :context: close-figs + + import matplotlib.pyplot as plt + import numpy as np + import arviz as az + from pymc_marketing.mmm.transformers import logistic_saturation + plt.style.use('arviz-darkgrid') + lam = np.array([0.25, 0.5, 1, 2, 4]) + x = np.linspace(0, 5, 100) + ax = plt.subplot(111) + for l in lam: + y = logistic_saturation(x, lam=l).eval() + plt.plot(x, y, label=f'lam = {l}') + plt.xlabel('spend', fontsize=12) + plt.ylabel('f(spend)', fontsize=12) + plt.legend() + plt.show() + Parameters ---------- x : tensor @@ -196,7 +295,35 @@ def logistic_saturation(x, lam: Union[npt.NDArray[np.float_], float] = 0.5): def tanh_saturation(x, b: float = 0.5, c: float = 0.5): - """Tanh saturation transformation. + R"""Tanh saturation transformation. + + .. math:: + f(x) = b \tanh \left( \frac{x}{bc} \right) + + .. plot:: + :context: close-figs + + import matplotlib.pyplot as plt + import numpy as np + import arviz as az + from pymc_marketing.mmm.transformers import tanh_saturation + plt.style.use('arviz-darkgrid') + params = [ + (0.75, 0.25), + (0.75, 1.5), + (1, 0.25), + (1, 1), + (1, 1.5), + ] + x = np.linspace(0, 5, 100) + ax = plt.subplot(111) + for b, c in params: + y = tanh_saturation(x, b=b, c=c).eval() + plt.plot(x, y, label=f'b = {b}, c = {c}') + plt.xlabel('spend', fontsize=12) + plt.ylabel('f(spend)', fontsize=12) + plt.legend() + plt.show() Parameters ---------- From c11ac0e054cc2c0016004076372bed4e2a0a1aac Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sat, 6 Jan 2024 18:30:48 +0100 Subject: [PATCH 11/40] put legend on side --- pymc_marketing/mmm/transformers.py | 35 ++++++++++++++++++++---------- 1 file changed, 23 insertions(+), 12 deletions(-) diff --git a/pymc_marketing/mmm/transformers.py b/pymc_marketing/mmm/transformers.py index b0332c810..5f55704d9 100644 --- a/pymc_marketing/mmm/transformers.py +++ b/pymc_marketing/mmm/transformers.py @@ -14,7 +14,7 @@ class ConvMode(Enum): def batched_convolution(x, w, axis: int = 0, mode: ConvMode = ConvMode.Before): - """Apply a 1D convolution in a vectorized way across multiple batch dimensions. + R"""Apply a 1D convolution in a vectorized way across multiple batch dimensions. .. plot:: :context: close-figs @@ -30,12 +30,14 @@ def batched_convolution(x, w, axis: int = 0, mode: ConvMode = ConvMode.Before): ax = plt.subplot(111) for mode in [ConvMode.Before, ConvMode.Overlap, ConvMode.After]: y = batched_convolution(spends, w, mode=mode).eval() - suffix = " (default)" if mode == ConvMode.Before else "" - plt.plot(x, y, label=f'mode = {mode}{suffix}') + suffix = "\n(default)" if mode == ConvMode.Before else "" + plt.plot(x, y, label=f'{mode.value}{suffix}') plt.xlabel('time since spend', fontsize=12) plt.ylabel('f(time since spend)', fontsize=12) plt.title(f"1 spend at time 0 and {w = }", fontsize=14) - plt.legend() + box = ax.get_position() + ax.set_position([box.x0, box.y0, box.width * 0.8, box.height]) + ax.legend(loc='center left', bbox_to_anchor=(1, 0.5)) plt.show() Parameters @@ -150,11 +152,13 @@ def geometric_adstock( x = np.arange(len(spend)) for a, normalize in params: y = geometric_adstock(spend, alpha=a, l_max=l_max, normalize=normalize).eval() - plt.plot(x, y, label=f'alpha = {a}, normalize = {normalize}') + plt.plot(x, y, label=f'alpha = {a}\nnormalize = {normalize}') plt.xlabel('time since spend', fontsize=12) plt.title(f'Geometric Adstock with l_max = {l_max}', fontsize=14) plt.ylabel('f(time since spend)', fontsize=12) - plt.legend() + box = ax.get_position() + ax.set_position([box.x0, box.y0, box.width * 0.65, box.height]) + ax.legend(loc='center left', bbox_to_anchor=(1, 0.5)) plt.show() Parameters @@ -192,7 +196,7 @@ def delayed_adstock( normalize: bool = False, axis: int = 0, ): - """Delayed adstock transformation. + R"""Delayed adstock transformation. This transformation is similar to geometric adstock transformation, but it allows for a delayed peak of the effect. The peak is assumed to occur at `theta`. @@ -217,10 +221,12 @@ def delayed_adstock( ax = plt.subplot(111) for a, t, normalize in params: y = delayed_adstock(spend, alpha=a, theta=t, normalize=normalize).eval() - plt.plot(x, y, label=f'alpha = {a}, theta = {t}, normalize = {normalize}') + plt.plot(x, y, label=f'alpha = {a}\ntheta = {t}\nnormalize = {normalize}') plt.xlabel('time since spend', fontsize=12) plt.ylabel('f(time since spend)', fontsize=12) - plt.legend() + box = ax.get_position() + ax.set_position([box.x0, box.y0, box.width * 0.65, box.height]) + ax.legend(loc='center left', bbox_to_anchor=(1, 0.5)) plt.show() Parameters @@ -276,7 +282,9 @@ def logistic_saturation(x, lam: Union[npt.NDArray[np.float_], float] = 0.5): plt.plot(x, y, label=f'lam = {l}') plt.xlabel('spend', fontsize=12) plt.ylabel('f(spend)', fontsize=12) - plt.legend() + box = ax.get_position() + ax.set_position([box.x0, box.y0, box.width * 0.8, box.height]) + ax.legend(loc='center left', bbox_to_anchor=(1, 0.5)) plt.show() Parameters @@ -319,10 +327,13 @@ def tanh_saturation(x, b: float = 0.5, c: float = 0.5): ax = plt.subplot(111) for b, c in params: y = tanh_saturation(x, b=b, c=c).eval() - plt.plot(x, y, label=f'b = {b}, c = {c}') + plt.plot(x, y, label=f'b = {b}\nc = {c}') plt.xlabel('spend', fontsize=12) plt.ylabel('f(spend)', fontsize=12) - plt.legend() + box = ax.get_position() + ax.set_position([box.x0, box.y0, box.width * 0.8, box.height]) + ax.legend(loc='center left', bbox_to_anchor=(1, 0.5)) + # plt.legend() plt.show() Parameters From 2f3eb53cce3b513072fac5d1159999f6de562b99 Mon Sep 17 00:00:00 2001 From: vincent-grosbois Date: Sat, 6 Jan 2024 23:22:14 +0100 Subject: [PATCH 12/40] Optimisation in customer_lifetime_value when discount_rate == 0 (#468) * Optimisation in customer_lifetime_value when discount_rate == 0 cf https://github.com/pymc-labs/pymc-marketing/issues/467 * Update utils.py --- pymc_marketing/clv/utils.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/pymc_marketing/clv/utils.py b/pymc_marketing/clv/utils.py index 99f91eb62..092057309 100644 --- a/pymc_marketing/clv/utils.py +++ b/pymc_marketing/clv/utils.py @@ -79,7 +79,12 @@ def _squeeze_dims(x: xarray.DataArray): x = x.squeeze(dims_to_squeeze) return x - steps = np.arange(1, time + 1) + if discount_rate == 0.0: + # no discount rate: just compute a single time step from 0 to `time` + steps = np.arange(time, time + 1) + else: + steps = np.arange(1, time + 1) + factor = {"W": 4.345, "M": 1.0, "D": 30, "H": 30 * 24}[freq] # Monetary value can be passed as a DataArray, with entries per chain and draw or as a simple vector From 5bd2eb620ede3eed006caeee123f91c60155a002 Mon Sep 17 00:00:00 2001 From: Juan Orduz Date: Sun, 7 Jan 2024 22:03:04 +0100 Subject: [PATCH 13/40] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d77a8c4cd..142357777 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ ![Build](https://github.com/pymc-labs/pymc-marketing/workflows/ci/badge.svg) [![codecov](https://codecov.io/gh/pymc-labs/pymc-marketing/branch/main/graph/badge.svg?token=OBV3BS5TYE)](https://codecov.io/gh/pymc-labs/pymc-marketing) -[![ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v1.json)]([https://codecov.io/gh/pymc-labs/pymc-marketing](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v1.json)) +[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff) [![docs](https://readthedocs.org/projects/pymc-marketing/badge/?version=latest)](https://docs.readthedocs.io/en/latest/) [![PyPI Version](https://img.shields.io/pypi/v/pymc-marketing.svg)](https://pypi.python.org/pypi/pymc-marketing) [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) From f6ba1aa51e702b5ca582d24b1bdc2669773ff17f Mon Sep 17 00:00:00 2001 From: juanitorduz Date: Sat, 6 Jan 2024 10:02:30 +0100 Subject: [PATCH 14/40] add support for pre-commit-ci --- .pre-commit-config.yaml | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 51debbe08..7dc2b9b5d 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,3 +1,15 @@ +ci: + autofix_commit_msg: | + [pre-commit.ci] auto fixes from pre-commit.com hooks + + for more information, see https://pre-commit.ci + autofix_prs: true + autoupdate_branch: "" + autoupdate_commit_msg: "[pre-commit.ci] pre-commit autoupdate" + autoupdate_schedule: weekly + skip: [] + submodules: false + repos: - repo: https://github.com/astral-sh/ruff-pre-commit rev: v0.1.11 From 4cf694ea7e21608879485846f768fea74aed3da1 Mon Sep 17 00:00:00 2001 From: juanitorduz Date: Tue, 9 Jan 2024 20:35:28 +0100 Subject: [PATCH 15/40] add isort --- .pre-commit-config.yaml | 1 + pymc_marketing/mmm/base.py | 2 +- pyproject.toml | 3 +++ tests/mmm/test_delayed_saturated_mmm.py | 3 +-- 4 files changed, 6 insertions(+), 3 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 7dc2b9b5d..32bdb22e7 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -15,6 +15,7 @@ repos: rev: v0.1.11 hooks: - id: ruff + args: ["--fix", "--show-source"] - id: ruff-format - repo: https://github.com/pre-commit/mirrors-mypy rev: v1.8.0 diff --git a/pymc_marketing/mmm/base.py b/pymc_marketing/mmm/base.py index a431ecd98..e2241bd11 100644 --- a/pymc_marketing/mmm/base.py +++ b/pymc_marketing/mmm/base.py @@ -1,4 +1,3 @@ -from itertools import repeat import warnings from inspect import ( getattr_static, @@ -7,6 +6,7 @@ ismemberdescriptor, ismethoddescriptor, ) +from itertools import repeat from typing import Any, Callable, Dict, List, Optional, Tuple, Union import arviz as az diff --git a/pyproject.toml b/pyproject.toml index 84b647080..e790db9e8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -63,6 +63,9 @@ repository = "https://github.com/pymc-labs/pymc-marketing" #documentation = "" #changelog = "" +[tool.ruff.lint] +select = ["E4", "E7", "E9", "F", "I"] + [tool.pytest.ini_options] addopts = [ "-v", diff --git a/tests/mmm/test_delayed_saturated_mmm.py b/tests/mmm/test_delayed_saturated_mmm.py index 9d8e19340..c7d005c5e 100644 --- a/tests/mmm/test_delayed_saturated_mmm.py +++ b/tests/mmm/test_delayed_saturated_mmm.py @@ -1,5 +1,5 @@ import os -from typing import List, Optional, Dict +from typing import Dict, List, Optional import arviz as az import numpy as np @@ -8,7 +8,6 @@ import pytest from matplotlib import pyplot as plt - from pymc_marketing.mmm.delayed_saturated_mmm import ( BaseDelayedSaturatedMMM, DelayedSaturatedMMM, From 0a8e2412b02c943627bf2202fdaf0729a4f0f02f Mon Sep 17 00:00:00 2001 From: "Oriol (ProDesk)" Date: Fri, 12 Jan 2024 19:06:16 +0100 Subject: [PATCH 16/40] modify autosummary templates --- docs/source/_templates/autosummary/base.rst | 5 +++++ docs/source/_templates/autosummary/class.rst | 2 +- docs/source/_templates/autosummary/method.rst | 5 +++++ docs/source/_templates/autosummary/module.rst | 2 +- 4 files changed, 12 insertions(+), 2 deletions(-) create mode 100644 docs/source/_templates/autosummary/base.rst create mode 100644 docs/source/_templates/autosummary/method.rst diff --git a/docs/source/_templates/autosummary/base.rst b/docs/source/_templates/autosummary/base.rst new file mode 100644 index 000000000..5536fa108 --- /dev/null +++ b/docs/source/_templates/autosummary/base.rst @@ -0,0 +1,5 @@ +{{ name | escape | underline}} + +.. currentmodule:: {{ module }} + +.. auto{{ objtype }}:: {{ objname }} diff --git a/docs/source/_templates/autosummary/class.rst b/docs/source/_templates/autosummary/class.rst index 7f6f73e56..f50e086eb 100644 --- a/docs/source/_templates/autosummary/class.rst +++ b/docs/source/_templates/autosummary/class.rst @@ -1,4 +1,4 @@ -{{ fullname | escape | underline}} +{{ name | escape | underline}} .. currentmodule:: {{ module }} diff --git a/docs/source/_templates/autosummary/method.rst b/docs/source/_templates/autosummary/method.rst new file mode 100644 index 000000000..e03319b8d --- /dev/null +++ b/docs/source/_templates/autosummary/method.rst @@ -0,0 +1,5 @@ +{{ objname | escape | underline}} + +.. currentmodule:: {{ module }} + +.. auto{{ objtype }}:: {{ objname }} diff --git a/docs/source/_templates/autosummary/module.rst b/docs/source/_templates/autosummary/module.rst index de70e3b3b..eda0ff8b8 100644 --- a/docs/source/_templates/autosummary/module.rst +++ b/docs/source/_templates/autosummary/module.rst @@ -1,4 +1,4 @@ -{{ fullname | escape | underline}} +{{ name | escape | underline}} .. automodule:: {{ fullname }} From a75b968e1bf45a81a6425ba6a431b5630647de45 Mon Sep 17 00:00:00 2001 From: Colt Allen <10178857+ColtAllen@users.noreply.github.com> Date: Mon, 15 Jan 2024 01:46:22 -0700 Subject: [PATCH 17/40] Rename `clv_summary` to `rfm_summary` and extend functionality (#479) * clv_summary adapted into rfm_summary * added clv_summary with warning * moved dataset from testing folder --- .../cdnow_transactions.csv | 0 .../source/notebooks/clv/clv_quickstart.ipynb | 1405 ++++++++++------- pymc_marketing/clv/utils.py | 60 +- tests/clv/test_utils.py | 75 +- tests/conftest.py | 2 +- 5 files changed, 892 insertions(+), 650 deletions(-) rename {tests/clv/datasets => datasets}/cdnow_transactions.csv (100%) diff --git a/tests/clv/datasets/cdnow_transactions.csv b/datasets/cdnow_transactions.csv similarity index 100% rename from tests/clv/datasets/cdnow_transactions.csv rename to datasets/cdnow_transactions.csv diff --git a/docs/source/notebooks/clv/clv_quickstart.ipynb b/docs/source/notebooks/clv/clv_quickstart.ipynb index 0ff24b228..f2721afe7 100644 --- a/docs/source/notebooks/clv/clv_quickstart.ipynb +++ b/docs/source/notebooks/clv/clv_quickstart.ipynb @@ -15,31 +15,10 @@ "metadata": {}, "source": [ "```{note}\n", - "This quickstart mirrors that of [lifetimes](https://lifetimes.readthedocs.io/en/latest/Quickstart.html). Several pictures and descriptions are directly attributable to the lifetimes developers.\n", + "This quickstart was adapted from the legacy [lifetimes](https://lifetimes.readthedocs.io/en/latest/Quickstart.html) library. Some pictures and descriptions are directly attributable to the `lifetimes` developers.\n", "```\n", "\n", - "In the following examples, we will use a dataset from an ecommerce provider to analyze their customers' repeat purchases. The dataset is available through the `lifetimes` package." - ] - }, - { - "cell_type": "markdown", - "id": "fa22b108", - "metadata": {}, - "source": [ - "## The shape of your data" - ] - }, - { - "cell_type": "markdown", - "id": "f773bb65", - "metadata": {}, - "source": [ - "For all models, the following nomenclature is used:\n", - "\n", - "* `frequency` represents the number of _repeat_ purchases that a customer has made, i.e. one less than the total number of purchases;\n", - "* `T` represents a customer's \"age\", i.e. the duration between a customer's first purchase and the end of the period of study. In this example notebook, the units of time are in weeks;\n", - "* `recency` represents the timepoint when a customer made their most recent purchase. This is also equal to the duration between a customer’s first non-repeat purchase (usually time 0) and last purchase. If a customer has made only 1 purchase, their recency is 0;\n", - "* `monetary_value` represents the average value of a given customer’s purchases. This is equal to the sum of all a customer’s purchases divided by the total number of purchases." + "In this notebook we will be using the CDNOW dataset, a popular benchmarking dataset in CLV and Buy Till You Die (BTYD) modeling research. Data is available [here](https://www.brucehardie.com/datasets/), with additional details [here]." ] }, { @@ -47,7 +26,15 @@ "execution_count": 1, "id": "65621d72", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n" + ] + } + ], "source": [ "import arviz as az\n", "import matplotlib.pyplot as plt\n", @@ -56,8 +43,6 @@ "import pymc as pm\n", "from arviz.labels import MapLabeller\n", "\n", - "from lifetimes.datasets import load_cdnow_summary_data_with_monetary_value\n", - "\n", "from pymc_marketing import clv" ] }, @@ -73,9 +58,33 @@ "%config InlineBackend.figure_format = \"retina\" # nice looking plots" ] }, + { + "cell_type": "markdown", + "id": "fa22b108", + "metadata": {}, + "source": [ + "## 1.1 Data Requirements" + ] + }, + { + "cell_type": "markdown", + "id": "f773bb65", + "metadata": {}, + "source": [ + "For all models, the following nomenclature is used:\n", + "\n", + "* `customer_id` represents a unique identifier for each customer.\n", + "* `frequency` represents the number of _repeat_ purchases that a customer has made, i.e. one less than the total number of purchases.\n", + "* `T` represents a customer's \"age\", i.e. the duration between a customer's first purchase and the end of the period of study. In this example notebook, the units of time are in weeks.\n", + "* `recency` represents the timepoint when a customer made their most recent purchase. This is also equal to the duration between a customer’s first non-repeat purchase (usually time 0) and last purchase. If a customer has made only 1 purchase, their recency is 0;\n", + "* `monetary_value` represents the average value of a given customer’s repeat purchases. Customers who have only made a single purchase have monetary values of zero.\n", + "\n", + "If working with raw transaction data, the `rfm_summary` function can be used to preprocess data for modeling:" + ] + }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "5b56f8db", "metadata": {}, "outputs": [ @@ -104,57 +113,142 @@ " recency\n", " T\n", " monetary_value\n", - " customer_id\n", - " \n", - " \n", - " customer_id\n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", " \n", - " 1\n", + " 0\n", " 2\n", " 30.43\n", " 38.86\n", " 22.35\n", - " 1\n", " \n", " \n", - " 2\n", + " 1\n", " 1\n", " 1.71\n", " 38.86\n", " 11.77\n", - " 2\n", " \n", " \n", - " 3\n", + " 2\n", " 0\n", " 0.00\n", " 38.86\n", " 0.00\n", - " 3\n", " \n", " \n", - " 4\n", + " 3\n", " 0\n", " 0.00\n", " 38.86\n", " 0.00\n", - " 4\n", " \n", " \n", - " 5\n", + " 4\n", " 0\n", " 0.00\n", " 38.86\n", " 0.00\n", + " \n", + " \n", + "\n", + "" + ], + "text/plain": [ + " frequency recency T monetary_value\n", + "0 2 30.43 38.86 22.35\n", + "1 1 1.71 38.86 11.77\n", + "2 0 0.00 38.86 0.00\n", + "3 0 0.00 38.86 0.00\n", + "4 0 0.00 38.86 0.00" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_trans = pd.read_csv(\"https://raw.githubusercontent.com/pymc-labs/pymc-marketing/main/datasets/cdnow_transactions.csv\")\n", + "\n", + "raw_trans.head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "2b9d1d19-a7a5-4a58-a980-9ed95bcd48d9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customer_idfrequencyrecencyTmonetary_value
013.049.078.023.723333
121.02.078.011.770000
230.00.078.00.000000
340.00.078.00.000000
450.00.078.00.000000
......
235300.0027.000.00235223532.053.066.019.775000
2354524.2927.0044.93235323545.024.066.044.928000
235500.0027.000.00235423551.044.066.024.600000
2356426.5727.0033.32235523566.062.066.031.871667
235700.0027.000.00235623570.00.066.00.000000
\n", @@ -210,33 +304,37 @@ "
" ], "text/plain": [ - " frequency recency T monetary_value customer_id\n", - "customer_id \n", - "1 2 30.43 38.86 22.35 1\n", - "2 1 1.71 38.86 11.77 2\n", - "3 0 0.00 38.86 0.00 3\n", - "4 0 0.00 38.86 0.00 4\n", - "5 0 0.00 38.86 0.00 5\n", - "... ... ... ... ... ...\n", - "2353 0 0.00 27.00 0.00 2353\n", - "2354 5 24.29 27.00 44.93 2354\n", - "2355 0 0.00 27.00 0.00 2355\n", - "2356 4 26.57 27.00 33.32 2356\n", - "2357 0 0.00 27.00 0.00 2357\n", + " customer_id frequency recency T monetary_value\n", + "0 1 3.0 49.0 78.0 23.723333\n", + "1 2 1.0 2.0 78.0 11.770000\n", + "2 3 0.0 0.0 78.0 0.000000\n", + "3 4 0.0 0.0 78.0 0.000000\n", + "4 5 0.0 0.0 78.0 0.000000\n", + "... ... ... ... ... ...\n", + "2352 2353 2.0 53.0 66.0 19.775000\n", + "2353 2354 5.0 24.0 66.0 44.928000\n", + "2354 2355 1.0 44.0 66.0 24.600000\n", + "2355 2356 6.0 62.0 66.0 31.871667\n", + "2356 2357 0.0 0.0 66.0 0.000000\n", "\n", "[2357 rows x 5 columns]" ] }, - "execution_count": 3, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data = load_cdnow_summary_data_with_monetary_value()\n", - "#BetaGeoModel expects to find column named 'customer' inside of the input dataset\n", - "data['customer_id'] = data.index\n", - "data" + "rfm_data = clv.utils.rfm_summary(\n", + " raw_transactions, \n", + " customer_id_col = \"id\", \n", + " datetime_col = \"date\", \n", + " monetary_value_col = \"spent\",\n", + " datetime_format = \"%Y%m%d\",\n", + " time_unit = \"W\")\n", + "\n", + "rfm_data" ] }, { @@ -244,18 +342,18 @@ "id": "514ee548", "metadata": {}, "source": [ - "To get a sense of the data, we can plot the recency and T of the customers with the `plot_customer_exposure` function. We see a large chunk (>60%) of customers haven't made another purchase in a while." + "To visualize data in RFM format, we can plot the recency and T of the customers with the `plot_customer_exposure` function. We see a large chunk (>60%) of customers haven't made another purchase in a while." ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 36, "id": "d6431c58", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -272,7 +370,7 @@ "source": [ "fig, ax = plt.subplots(figsize=(10, 5))\n", "(\n", - " data\n", + " rfm_data\n", " .sample(n=100, random_state=42)\n", " .sort_values([\"recency\", \"T\"])\n", " .pipe(clv.plot_customer_exposure, ax=ax, linewidth=0.5, size=0.75)\n", @@ -286,18 +384,20 @@ "source": [ "## Basic Frequency/Recency analysis using the BG/NBD model\n", "\n", - "We will use the BG/NBD model to infer the frequency of repeat purchases for all customers in the dataset." + "As this dataset represents non-contractual transactions in the continuous time domain, we will use the Beta-Geometric/Negative Binomial Distribution (BG/NBD) model to infer the frequency of repeat purchases for each customer in the dataset. The Pareto/Negative Binomial Distribution (Pareto/NBD) model is also available as an alternative if you wish to compare results.\n", + "\n", + "For use cases involving discrete time, contractual transactions, use the Shifted Beta-Geometric model." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 46, "id": "2ac219da", "metadata": {}, "outputs": [], "source": [ "bgm = clv.BetaGeoModel(\n", - " data = data\n", + " data = rfm_data\n", ")\n", "bgm.build_model()" ] @@ -312,7 +412,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 47, "id": "40d5f47d", "metadata": {}, "outputs": [ @@ -327,7 +427,7 @@ "likelihood ~ Potential(f(r, alpha, b, a))" ] }, - "execution_count": 6, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -349,7 +449,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 48, "id": "3af6449f", "metadata": {}, "outputs": [], @@ -368,7 +468,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 49, "id": "cc17d278", "metadata": {}, "outputs": [ @@ -383,14 +483,14 @@ "likelihood ~ Potential(f(r, alpha, b, a))" ] }, - "execution_count": 8, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bgm = clv.BetaGeoModel(\n", - " data = data,\n", + " data = rfm_data,\n", " model_config = model_config,\n", ")\n", "bgm.build_model()\n", @@ -407,7 +507,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 50, "id": "d0667779", "metadata": { "scrolled": true @@ -456,7 +556,7 @@ "\n", "
\n", " \n", - " 100.00% [8000/8000 00:08<00:00 Sampling 4 chains, 0 divergences]\n", + " 100.00% [8000/8000 00:07<00:00 Sampling 4 chains, 0 divergences]\n", "
\n", " " ], @@ -471,7 +571,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 9 seconds.\n" + "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 7 seconds.\n" ] }, { @@ -509,51 +609,51 @@ " \n", " \n", " a\n", - " 0.959\n", - " 0.272\n", - " 0.554\n", - " 1.488\n", - " 0.007\n", - " 0.005\n", - " 1733.0\n", - " 1977.0\n", - " 1.0\n", + " 0.695\n", + " 0.159\n", + " 0.440\n", + " 1.001\n", + " 0.004\n", + " 0.003\n", + " 1524.0\n", + " 1917.0\n", + " 1.01\n", " \n", " \n", " b\n", - " 3.132\n", - " 1.122\n", - " 1.370\n", - " 5.161\n", - " 0.028\n", - " 0.020\n", - " 1701.0\n", - " 1884.0\n", - " 1.0\n", + " 3.318\n", + " 0.995\n", + " 1.764\n", + " 5.201\n", + " 0.026\n", + " 0.019\n", + " 1501.0\n", + " 1748.0\n", + " 1.01\n", " \n", " \n", " alpha\n", - " 4.485\n", - " 0.375\n", - " 3.760\n", - " 5.153\n", - " 0.009\n", - " 0.006\n", - " 1688.0\n", - " 1978.0\n", - " 1.0\n", + " 7.099\n", + " 0.503\n", + " 6.167\n", + " 8.033\n", + " 0.011\n", + " 0.008\n", + " 2104.0\n", + " 2162.0\n", + " 1.00\n", " \n", " \n", " r\n", - " 0.244\n", + " 0.276\n", " 0.012\n", - " 0.222\n", - " 0.269\n", + " 0.253\n", + " 0.298\n", " 0.000\n", " 0.000\n", - " 1810.0\n", - " 2025.0\n", - " 1.0\n", + " 1758.0\n", + " 2134.0\n", + " 1.00\n", " \n", " \n", "\n", @@ -561,19 +661,19 @@ ], "text/plain": [ " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", - "a 0.959 0.272 0.554 1.488 0.007 0.005 1733.0 1977.0 \n", - "b 3.132 1.122 1.370 5.161 0.028 0.020 1701.0 1884.0 \n", - "alpha 4.485 0.375 3.760 5.153 0.009 0.006 1688.0 1978.0 \n", - "r 0.244 0.012 0.222 0.269 0.000 0.000 1810.0 2025.0 \n", + "a 0.695 0.159 0.440 1.001 0.004 0.003 1524.0 1917.0 \n", + "b 3.318 0.995 1.764 5.201 0.026 0.019 1501.0 1748.0 \n", + "alpha 7.099 0.503 6.167 8.033 0.011 0.008 2104.0 2162.0 \n", + "r 0.276 0.012 0.253 0.298 0.000 0.000 1758.0 2134.0 \n", "\n", " r_hat \n", - "a 1.0 \n", - "b 1.0 \n", - "alpha 1.0 \n", - "r 1.0 " + "a 1.01 \n", + "b 1.01 \n", + "alpha 1.00 \n", + "r 1.00 " ] }, - "execution_count": 9, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -593,13 +693,13 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 51, "id": "fe4ab5d7", "metadata": {}, "outputs": [ { "data": { - "image/png": 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0MnBgWfvhj+vMmiVjAoCmudwHlrNxj5YH0/Xpk2w1srl+AIDe54D9qpxwXFmbOjX5i6/VefVVE3IAAABAMx5/vBxvuEGy6qoWzgPAsvrSF6tssnFZu/6G5Mqrm+kHAAAAAAAW9Njjde76TVk79ugqK60kKwYAoOfr37/K5z5dPvuOn2BtBwAAACyLa65LnniyrH3qk1UGDJA7AQDQs6y4YpXPf658zn3hxeSSyxpqCACYx+U+sJw99HA53nSTZOWVTfoCAJ3rs5+uMmq3svbKq8lf/nWdqVNd8AMAAAB0vsceL+ckttiioUYAoIfo16/KN/+xykorlfXv/6DOuEdlAQAAAAAANO8XZ5Xz1asNSA4/tKFmAACgAXvvlWy+eVn7+S/qTJ5sbQcAAAAsqcmT6/z0Z+Xv0sOGJgcf2Ew/AADQ0fbcPdlqZFk785d13nhDxgQATXK5DyxnDz5UPuBus01DjQAAvVqfPlW+8TfVQhNyTz6VfOMf6syebVIOAAAA6FyPPVGON9+saqYRAOhBBg+u8rdfK99T33lnbhbw1luyAAAAAAAAmvPoY3Xu+k1ZO+boKiutJCsGAKD36NOnype/WD4Dv/V2ctbZ1nUAAADAkjrz7DqTJpW1P/1SldZWuRMAAD1TVVX50y+Vz7vTpiX/c7qMCQCa5HIfWI7a2uo8MqasbbO1SV8AoBn9+lX5zreqDBpU1u/7ffJv/16nrk3MAQAAAJ3jnXfqPPlkWdti82Z6AYCeZrddqxxzVFmbODH5f/9cp61NFgAAAAAAQDN+cVY5R73agOTwQxtqBgAAGrTdtlV23aWsXXJZ8sIL1nUAAADA4jz7bJ1LLi1rH985+eAOzngEAKBnG75llX32LmvXXpc89LCMCQCa4nIfWI6efiaZOrWsbbN1M70AACTJ6qtX+d6/Vll99bJ+7a+TX5zVSEsAAABAL/TU08k775S1LbZophcA6IlO/WyVbbcpa/fel5x1djP9AAAAAADQuz36WJ3f3F3Wjj2mykorOWQNAIDe6Qufq9La2j6ePTv50U8cvAYAAACL84Mf1Wlrax/37Zv8yedlTgAA9A6nfqZK//5l7Xv/WWf2bDkTADTB5T6wHD30UDnecINk7bVM/gIAzdpwwyr/9i9V+vUr6z8/s84115mUAwAAADreo4+W40GDkgGrylAAYHlpba3y//6hypprlPVfnFXnt/fIAgAAAAAA6Fw/P7Ocm15tQHLYIc30AgAAXcGGG1Y54rCydvsdyf0PWNcBAAAAi/Lb39X57e/K2tFHzv09GwAAeoO1167y6VPK59+nnkouu7yhhgCgl3O5DyxHDz1cLpzaZuuGGgEAWMCI/8/efYbrVZRtA75mJyEhkFASOijSpPcmRcECgtheFCz0Kh0Sem8hlNBBehMERVQEGxZQukDoTZogSAkgIUBCkp093498CosNSEmy23kehz/WNc9+ntEfZq37njWzWMlhB5e0vOMJ4NgRNbfdbvE3AAAAMHU99Pdm/WGxRTtoIgDQjQ0eVHL4oSW93tYLqDU57PCap57SCwAAAAAAYNp4+OGam29pZt/9Tkn//jZZAwCgZ9t805KZZ2pmp/6wpq3Nug4AAAB4p/Hja046pfnMPGjWZLNN9JwAAOhZNvxmsuCCzezcC2peekmPCQCmNYf7wBRSa8099zWzZZZW/AUAOo81Vi/ZbZfm/cmkSckBB9c8+qjCHAAAADD1PPRQ83qxT+uhAMDUsOwyJdtv1/x39vU3kr33q3n1Vb0AAAAAAACmvvMvatajZ54p+b9vdMxcAACgMxkwoGSrLZvrOh55JLnmDx00IQAAAOjELv1J8q9nm9kPtivp39+7iQAA9Cy9e5cM3b15Hzx2bHLqD703DADTmsN9YAp57vnkpZea2dJLdcxcAADey4bfLPned5rZuHHJnvvWPP+C4hwAAAAw5Y0bV/PkU81s0UU7Zi4A0BN8d+Nk7bWa2b+eTQ44uGbiRL0AAAAAAACmngcfqrn5lmb23e/YZA0AAP7jaxsk83+ymZ11bs24cdZ0AAAAwH/869mai3/cfFZeaslk3XU6aEIAANDBll6qZP31mtmfr03uGKnHBADTksN9YAq5977m9cwzJ/PN1yFTAQB4Xz/YruQLn29mL7+c7LVPzWuvKc4BAAAAU9YjjyZtbW9d92pJFlm44+YDAN1dKSUH7Fuy6Keb+d33JCecVFOrXgAAAAAAAFNerTU/PLNZg555puSbX++gCQEAQCfUu3fJTjs2D7986aXk0p9YzwEAAAD/cfKpNRMmvHXd0pIM2b2kpaW89x8BAEA3t8P2JQMGNLMTTqqZMEGfCQCmFYf7wBRy733Nm9ill5q8YQ4AQGfT0jJ5U79ll2nm/3gyOeBgxTkAAABgynro4eb1pz6V9OunhwIAU1O/fiVHDysZPLiZX/2b5PIrOmZOAAAAAAB0b7fcOvmg+bf73ndL+vfXHwYAgLdbdeVk5ZWa2aU/SUaN8m4nAAAA3Hhzzc23NLP/+2ay8EJ6TgAA9GyzzFyy/bbN++J/Pp385PIOmhAA9EAO94Ep5N57m9dLL6UADAB0XtNNV3LUESWf/EQzv/Ou5Ohja2q1CBwAAACYMh56uFlnWGzRDpoIAPQwgwdPPuCnb99mfvoZNTffog8AAAAAAMCU09pa88OzmrXnOeZINvxmB00IAAA6sVJKdt6hpOVtO76MH5+cfZ71HAAAAPRsb75Zc/IpzefjWWdJttnSvo4AAJAkX/1K+z07Lrq45tnn9JkAYFpwuA9MAaNH1zz5VDNbeqmOmQsAwAc1cGDJiGNKBs3azP/wJ4vAAQAAgCnn4Yeb14suaiE9AEwri3665MD9mv/2trUlhx5R88QTegEAAAAAAEwZv78mefLJZrbt1iV9++oPAwDAu1lggZKvbdDMfn9N8tDD1nMAAADQc11yac1zzzeznXYomXFGPScAAEiSXr1Khu5RUt52izx+fDLihJpa9ZkAYGpzuA9MAffd37zu1y9ZZOGOmQsAwIcx11wlxx5dMn2/Zn7xJcmvrlacAwAAAD6eMWNq/vVsM1ts0Y6ZCwD0VGuvVbLNVs0X2caOTfbZv+aVV/QCAAAAAAD4eMaNqzn3gma9eaEFk3W+2EETAgCALmLrLUtmmKGZnXhyTVub9RwAAAD0PE8/U/Pjy5rZsssk63ypY+YDAACd1aKfLvnG15vZbbcnf/xTx8wHAHoSh/vAFHD3vc3FUUssnvTu7YR3AKBr+PQiJYcfVtLrHU8Hx59Yc/MtFoEDAAAAH93Df29eTzddssCnOmYuANCTbb5p8qV3bKL43PPJ/gfVTJigFwAAAAAAwEd3+RXJSy81s512KGlp8X4dAAC8n1lmKdl80+Z984MPJdf8oYMmBAAAAB2k1poTT66ZOPGtrFdLMmS3klL0nAAA4J2236Zk0KBmdsppNaNHe2cYAKYmh/vAFHDX3c3rZZdRBAYAupbPrFIydEjzHqatLTn4sJqHH1agAwAAAD6ahx5uXi+ycNK7tz4KAExrpZTsu1fJ4os18/vuT449vqZWvQAAAAAAAD68V16p+fFlzRrzyislK62oLwwAAB/EtzdM5puvmZ1xVs3rr1vLAQAAQM9x/Q3Jbbc3s29/K1lgAT0nAAB4NzPOWDJk9+b98uhXk1N/qMcEAFOTw33gY3rttZrHHmtmyy7TMXMBAPg4vrZByWabNLM330z22q/m2ecU6QAAAIAP76F3HBq86KIdNBEAIH37lgw/smT22Zv5769Jzj5XHwAAAAAAgA/vwh/VjB371nUpyQ7b2WQNAAA+qD59SnbduXkP/e9XJt9rAwAAQE8wblzNyac1n4MHD0622kLPCQAA3s/n1iz53Geb2TV/SP52mz4TAEwtDveBj+ne+5K2treup+uTLL5Yx80HAODj2HbrknXXaWavvJLsuXfNmDGKdAAAAMAHV2vNAw82s8U+bUE9AHSkQYNKjjmqZPp+zfziHycX/1gfAAAAAACAD+7pZ2quvKqZrbtOsvDC+sIAAPBhfGaVktVXa2Y/+3ny5FPWcgAAAND9XXRxzahRzWyXHUv699dzAgCA/2WPXUtmnKGZjTihZtw4fSYAmBoc7gMf0113N29Ul1gi6dtXMRgA6JpKKdl3r5IVlm/m/3w62feAmvHjFekAAACAD+bZ5yYfGvx2Sy7RMXMBAN6y8EIlhxxU0vKOVUNnnVPz81/qAwAAAAAA8MGcdU7NpElvXU/XJ9lmK+/VAQDAR7HLjiV9+rx1PWlScsppNbVaywEAAED39dRTNT+5vJmtsHzy+bU7Zj4AANDVDB5cssMPmmu2nns+Oe8CPSYAmBoc7gMf0113N6+XXaZDpgEAMMX06VMy7PCSBT7VzO+9Lxl2dE1bm0IdAAAA8L/df3/zeuaZk7nn7pCpAADvsMbqJXvv2X6DxRNPrvnd7/UBAAAAAAB4f/fcW/OXvzazb30rmXMOh/sAAMBHMe+8Jd/ZuJnddntyw40dMx8AAACY2mqtOfGUmtbWt7LevZMhu5WUoucEAAAf1Fe/kiyzdDO7/Irk4Ye9LwwAU5rDfeBjeP31mkcfa2bLLasYDAB0fTPOWHLcMSWzDW7m116XnHGWIh0AAADwv93/YLOGsNQSsageADqRDdYv2XXn9v82Dz+25i9/1QsAAAAAAODdTZpUc+LJzTrywIHJpt/TDwYAgI9j0++1f6fz1NNrxo+3jgMAAIDu5w9/TO4Y2cw2/nbyyU/qOQEAwIfR0lKyz54lffq8lbW1JUcfV9Paqs8EAFOSw33gY7j3vsk3qv8xXZ9kicU7bj4AAFPSHLOXHHt0Sf/+zfyynyY//4UiHQAAAPD+Hnigeb3EEhbVA0Bns9G3SrbZqvlvdFtbcugRNbf8TS8AAAAAAID2rvp18tjjzWyrLUoGDNATBgCAj6N//5KddmjeVz/3/OR3OgEAAKA7eWV0zSmnNd9ZmH32ZIvN9JsAAOCj+MQnSjbftHk//djjyY8u6aAJAUA35XAf+BjuurtZFF588aRvX0VhAKD7WHihkmGHl/Tq1cxPOrXm+hts6gcAAAC8u7Fjax5/x2ZOSy7RMXMBAN7f5psm3/tuM2ttTQ44sObGm/QCAAAAAAB4y6uv1pxzXrN2vMCnkm98rYMmBAAA3cwXPp8su0wzu/jHNc8/bw0HAAAA3ccpp9W8OqaZ7bFryfTT28cRAAA+qu9/d/Jarre76OKavz+izwQAU4rDfeBjuOvu5vVyy3bELAAApq6VVizZZ89m47vW5NAjau5/QKEOAAAAaO/hvyeT2t667tUrWfTTHTcfAOC9lVKyw3Yl3/h6M58wMTngoJrf/0EvAAAAAACAyc69oGbMOzZa233Xkt69bbQGAABTQiklu+1S0vK23WDGj09OP9P6DQAAALqHm2+p+eOfmtnaayVrrqHfBAAAH0efPiX771PS6219pkmTkiOPqpkwQa8JAKYEh/vAR/TGGzWPPNrMlltWURgA6J7WX69k6y2b9zoTJiT77l/zzDMKdQAAAEDT/Q80rxdaMOnXTx8FADqrUkqG7Fay7jrNfFLb5EW7l1+hFwAAAAAA0NM9+ljNr65qZmuvlSy/nF4wAABMSQsvVPL1rzWz6/6SjLzT+g0AAAC6trFja0ac2Hy+HTAg2X0X/SYAAJgSFl20ZNNNmtk/nkzOv1CfCQCmBIf7wEd0z71JW9tb1336JEss3nHzAQCY2rbYLPnK+s1s9KvJnvvUvDJasQ4AAAB4y/0PNGsFSy7RQRMBAD6wlpaS/fYu2WD99mOnnFZz3gVtqVU/AAAAAACgJ6q15qRTauN9ur59k512sNEaAABMDdtsWTJwYDM76ZSa1lZrNwAAAOi6zjqnZtSoZrbzjiWDBuk5AQDAlLL5piULL9TMLv1J+31AAIAPz+E+8BGNvLN5M7r4YknfvgrDAED3VUrJXkNKVl6pmT/zr+SgQ2omTlSsAwAAACZv6vTAA81sySX1UACgK+jdu2SfvUq+u3H7sQsuyv/fuFE/AAAAAACgp/nztck99zazTb9fMuccesEAADA1zDRTyXZbN++3//Fk8stfdcx8AAAA4OO67/6aX1zZzFZYPln/yx0yHQAA6Lb69Ck5YL+S3r3fytrakmFH17z5pneEAeDjcLgPfER33Nm8XmF5LyIAAN1f794lRx7W/iTuu+9JTjylplbFOgAAAOjpnn4meXVMM1ty8Y6ZCwDw4ZVSsuMPSrbftv06iJ//Mjn0CIt3AQAAAAB6krFja04/o1kXnmvOvOtB8QAAwJTz1Q3S7l3O886v+fe/rdsAAACga5kwoeaY42revjVR377J3kNLSrGHIwAATGkLLViy1RbNe+2nn07OPlefCQA+Dof7wEfwyis1jz/ezFZYvmPmAgAwrfXvX3Lc0SWzz9bMr7o6+cUvO2ZOAAAAQOfxwAPN60GzJnPO2TFzAQA+mlJKNv1+yZ5DSt75nty11yU77Fzz3HMW8AIAAAAA9AQXX1rz4kvNbJedSvr2tdEaAABMTb16ley+a/O++/U3kh+eZc0GAAAAXcvFP6558qlmtvWWJfPMo98EAABTy/e+kyy2WDO7/Irkrrv1mgDgo3K4D3wEI+9sXk8/fbLE4h0zFwCAjjB4cMnwYSV9+zbzU06ruWOkYh0AAAD0ZPc/0KwNLLHE5AMCAICu5xtfKzn0oJLevZv5o48l2/6g5s679AQAAAAAALqzJ/5Rc9lPmtlKKyZrrtEx8wEAgJ5mmaVL1v1SM/v9NTZdAwAAoOt44omai3/czD69SLLRtzpmPgAA0FP07l1y4L4l003XzIcNr3n9db0mAPgoHO4DH8HIO5s3n8suM/lmFQCgJ/n0IiX779u8B5rUlhx0aM3TzyjWAQAAQE91733N6yWX0EMBgK7sC58vOXZ4yYwzNPPRryZ7DK352c9ratUXAAAAAADobtraao47vqa19a2sV69kt11KStEHBgCAaWXHH5TM8I51G8efVNPaar0GAAAAndukSTVHH/eOflNLsu9exd6NAAAwDXzykyXbb9u8937+heS4E7wbDAAfhcN94CO4Y2TzeoXlFYcBgJ7pC2uXbLFZM3vttWTf/Z3GDQAAAD3Rq6/W/OPJZrb0Uh0yFQBgClp5pZKzzyz55Cea+aS25ORTa4YfUzN+vL4AAAAAAEB38qurk/vub2bf2SiZ/5PepQMAgGlp0KCS7bZu3oc/+WRy+RUdMx8AAAD4oH5xZfLgQ83se99NFl5YvwkAAKaVb2+YLLtMM/vztcnvr+mY+QBAV+ZwH/iQ/vVszXPPN7MVV+iYuQAAdAZbbVHy2TWb2VP/TA49ombSJBv5AQAAQE9y3wPN6759k08v0jFzAQCmrE/MV3L2GSWrr9Z+7Le/T7bZvuaRR/UFAAAAAAC6gxdfrDnjrGbNd565J68dBwAApr1vfD1ZZOFmdsGFNS+MslYDAACAzun552vOPqf53DrvvMkWm+k3AQDAtNTSUnLg/iUzztjMTzip5uln9JoA4MNwuA98SCPvbF7PPHOywKc6ZCoAAJ1CS0vJgfuVLLhgM7/1b8mZZyvWAQAAQE9y733NWsDiiyV9+lhsDwDdxQwzlAw/smSLzdqP/ePJZLsdan50SU1rq/4AAAAAAEBXVWvN8SfVjB3bzPcaWtK3r/4vAAB0hF69SobuUVLedks+7s3k1NOs0QAAAKDzqbXm2ONrxr3ZzPfZU78JAAA6wpxzlOyzZ/NefNybyWFH1EycqN8EAB+Uw33gQ7pjZPNmc4XlJ29oDwDQk/XvX3LMsJKZZ27ml/00+d3vFesAAACgp7j33ub10kt1zDwAgKmnpaVkm61aMuzwkun7NcdaW5Ozz63ZebeaZ57RHwAAAAAA6Iqu+WNy403NbP0vJyuu4B06AADoSEssXvLVDZrZX65PbvmbNRoAAAB0Lr/5XXLb7c3sa19NlltWvwkAADrK2muVfPUrzezhvyfnnK/XBAAflMN94ENoa6u5885mtuLyisQAAEky55wlww4v6d27mR97fM39DyjYAQAAQHc3fnzNw39vZsssrY8CAN3V5z5bcvaZJYss3H7s/geSLbepufKqmlr1CAAAAAAAuooXX6w56ZRmXXfmmZOddtD7BQCAzmD7bUpmGtjMTjq5Zvx46zMAAADoHF4YVXPq6c3n1MGDkx23128CAICOtuvOJZ+Yr5ldelly+x16TQDwQTjcBz6Ex59IRr/azFZYoWPmAgDQGS2zdMmeezQb6RMnJvsfWPPCKAU7AAAA6M4efChpbX3ruqUlWWLxjpsPADD1fWr+krN+WLLZJpP/7X+7cW8mI06o2Xm3mif+oUcAAAAAANDZ1VpzzIia119v5nsNLZlpJputAQBAZzDTTCU7/KB5f/6vZ5NLLrU2AwAAgI5Xa82xI2reeKOZ7z20ZMYZ9ZsAAKCjTT99yaEHl/Tp08yPHF7zymj9JgD4XxzuAx/CHSOb13PPncw9l0IxAMDbbfCVkm9t2Mz+/Uqy34E1b76pYAcAAADd1b33Na8XWiiZYQZ9FADo7vr0Kdlum5b88NSSeedpP37PvcmW29ScdU6bPgEAAAAAQCf2m98lt/6tma3zxeRza+r7AgBAZ7L+l5Ollmxml1yaPPmUdRkAAAB0rN/8Lvnbbc1svXWT1T6j3wQAAJ3FIguX/GC75j36yy8nw4bXtLXpNwHA+3G4D3wII+9s3lyusHwHTQQAoJPbeYeSlVZsZo88khx1TE2tCnYAAADQHd17X/OZf+mlOmgiAECHWHKJkvPPKfnG19qPTZqUXPzjZNMtam65VZ8AAAAAAKCzef6FmlNOa9ZvBw1Kdt/VRmsAANDZtLSUDNm9pNfbdoyZODE55jgbrgEAANBxRo2qOfX05nPp4MHJLjvrNwEAQGfz7Q2TlVdqZrf+LfnRJR0zHwDoKhzuAx/QxIk199zTzFZcXrEYAODd9O5dctghJfPO28yvvS656OKOmRMAAAAw9UyaVHP/A81s6aX0UQCgp+nfv2TPIS0ZcUzJXHO1H3/u+WSvfWsOOLgtzzxjMxkAAAAAgM6g1pqjj60ZO7aZ77NnycCB+r4AANAZLbxQycYbNbP77k+uurpj5gMAAEDPVmvNMSNq3nijme89tGTgAP0mAADobFpaSg7cr2TWWZr5eRfU3H6H938B4L043Ac+oAcfSsa92cyWX75j5gIA0BUMHFByzLCSGWdo5ueeX3PDjQp2AAAA0J088UTaLbxfeqmOmQsA0PFWXaXk4gtKNv1+0qtX+/G/Xp9sskXNyae25dVX9QwAAAAAADrSr65K7hjZzNZfL1ntMzZaAwCAzmyrLUrmnruZnXF2zYsvWosBAADAtPXb3yd/u62ZfXld/SYAAOjMZp215NCDS1redkpBrclhR9S8MEq/CQDejcN94AO6Y2TzhnKhBZNZZlYwBgB4P5/8ZPuCXZIcPqzmiX8o2AEAAEB3cc99zet55k4GD9JHAYCerF+/ku23bckF55Yss3T78dbW5Gc/Tzb+Xs2lP6kZP17fAAAAAABgWnv2uZrTz2jWZ2efLdl1J/1eAADo7Pr1K9lrSPPe/Y03khNPsQYDAACAaWfUqJpTTms+iw4alOy6s34TAAB0dssvV7Lt1s1799GvJgcfWjNxop4TALyTw33gA7pjZPN6xRU6Zh4AAF3NqquU7PiDZsFu3LhkvwNqxoxRsAMAAIDu4O67m8/4Sy/VQRMBADqdBT5VctrJJfvtUzLTwPbjr7+R/PDMmu9vVvPHP9e0tekdAAAAAABMC62tNYcfWTPuzWa+794lM85oszUAAOgKVlqxZL11m9n1NyR/vcH6CwAAAKa+WmuOPq7mjTea+V5DSwYO0G8CAICu4PvfTVZfrZk98GBy+pn6TQDwTg73gQ9g7NiaBx9qZiusoGAMAPBBbfztZN11mtm/nk0OObymtVXRDgAAALqytraaO+9uZsstq48CALyllJKvrFdy2Y9Lvrtx0qdP+888/0Jy2BE12+9Yc/c9egcAAAAAAFPbhT+quf+BZvb1ryYrr6TfCwAAXcnOO5bMPHMzO+Gkmtdes/4CAACAqesXVya33d7M1l0nWWM1/SYAAOgqWlpKDtivZK65mvkVP0/+fK1+EwC8ncN94AO4595k0qS3rnv1SpZZquPmAwDQ1ZRSsvfQksUWbea335GcebaCHQAAAHRljz+RjBnTzJZfrmPmAgB0bgMHlOy0Q0t+/KOSL37h3T/z0MPJzrvV7HdAW556Sg8BAAAAAGBquPuemh9d0szmmTvZaQcbrQEAQFcz00wlu+7cvJd/+WXvbgIAADB1PfVUzQ/PbD57Dh6c7LazfhMAAHQ1AweUDDu8ZLo+zfzo42qe9K4vAPyXw33gA7hjZPMGcsklkv79FY4BAD6Mvn1LjjqiZNCszfwnlye//4OCHQAAAHRVd93VvJ5rrmTOOfVRAID3NvdcJYce1JKzzyhZZul3/8wNNyWbbVlz3PFtefllfQQAAAAAgCllzJiaw4+saWt7K+vVKzn04OKdOQAA6KK+9IVklZWb2a+uTu6515oLAAAAprzW1pojjqoZP76ZH7BvycCB+k0AANAVLbJwyZDdm/fz48Yl++5fM+Y1PScASBzuAx/IHXc2r1dYXtEYAOCjmG22kmFHlPR5x4ncxx5X89DDCnYAAADQFd15d/OZfvnlOmgiAECXs/hiJaedXDL8yJL55ms/Pqlt8kYz3/l+zXkXtGXsWL0EAAAAAICPo9aaY0bUjHqxmW+7dclii3pnDgAAuqpSSvYaUjJ9v2Y+/NiaN9+03gIAAIAp66KLax7+ezP71v8lK62o3wQAAF3ZBl8pWX+9ZvbMv5JDDqtpbdVzAgCH+8D/8MorNY8/3sxWWL5j5gIA0B0suUTJ0D2ajfgJE5P9D6x5+WUFOwAAAOhKJk2qufvuZrb8shbgAwAfXCkla65RcvEFJUN2L5l5pvafGfdmcsFFkw/5+c3vatra9BMAAAAAAD6Kq36d/PX6ZrbC8sn3vtMx8wEAAKacOecs2Xbr5hrOZ55Jzj3fOgsAAACmnAcerPnRxc3sk59IfrCd9woBAKA7GLp7yacXaWa335GccZaeEwA43Af+h9tub15PP32y+GIdMxcAgO5ig/VLNvxmM3vxpeTAQ2omTFC0AwAAgK7i0ceS199oZssv1zFzAQC6tt69S/7vGyU/vbRks02Svn3bf+bfryTDj6nZadeaRx/VTwAAAAAA+DD+8WTNKac1a6szDUwO2r+kpcVmawAA0B1s+H/JEos3s5/+LLn/AessAAAA+PjGjas54qiaSW1vZb16Te439eun3wQAAN1B374lw48smXWWZv7TnyW/+72eEwA9m8N94H/4223NG8YVlk/69FE8BgD4uHbZqWS5ZZvZffcnJ5xUU6uiHQAAAHQFd97VvJ533mS22fRRAICPboYZSrbbpiU/uaRkg/WTlndZ3XTf/cnW29ecdEpbXntNTwEAAAAA4H8ZP77m0CNqxo9v5vvtWzJ4sB4vAAB0F716ley3T8l0fd7Kak2GH1Mzfrw1FgAAAHw8p59Z88wzzWzLzUsWXVS/CQAAupPZZy8ZdkRJnz7N/Njja+5/QM8JgJ7L4T7wPtraam67o5mtsrLiMQDAlNC7d8kRh5bMOUcz//Vvk19c2SFTAgAAAD6ku+5uLrpZfrkOmggA0O3MNlvJvnu35IJzS1Zdpf14W1tyxS+S721W87tramq1GBgAAAAA4L2cdGrN4483sw2/mayxmnflAACgu5n/kyVbbdm813/qn8n5F1pbAQAAwEd3y601V/6qmS2xeLLJ9zpmPgAAwNS11JIlQ/do9pwmTkwOOKjmxRf1nQDomRzuA+/jkUeT0aOb2cordchUAAC6pZlnLhk+rKRfv2Z+yqk1d96lYAcAAACdWWtrzT33NrPll7XxEwAwZS24QMmIY1py7PCSueduP/7KK8mw4TVD9655YZTeAgAAAADAO/32dzVX/7qZLbhAsuMP9HcBAKC7+s5GyWKLNrPLfpo8+JC1FQAAAHx4L79cM+zo5jNlv37JgfuX9O6t5wQAAN3VBuuXfHvDZvbyv5P9Dqx58019JwB6Hof7wPv4223N63nnTeaZWwEZAGBKWnihkv33bd5jTWpLDjqk5rnnFOwAAACgs/r7I8nYsc1suWU7ZCoAQA+w2mdKLr6gZOstS6abrv34bbcnm25Rc9Wva2rVXwAAAAAASJJHH6sZcWL7jdYOPbikb1/vyQEAQHfVu3fJfnuX9OnzVtbWlhx1TM2ECdZVAAAA8MG1tU0+2Gf06Ga+844l882r3wQAAN3dTjuUrLhCM3v478nhw2omTdJ3AqBncbgPvI/bbm/eHK66cgdNBACgm/v8WiWbbdLMXh0z+UTuceMU7AAAAKAzGnln83r+TyaDBlmMDwBMPX37lmy5ecklF5WssXr78bFjk2NH1AzZq+b55/UXAAAAAICe7bXXag48uGbChGa+954ln5pfbxcAALq7BRYo2WKz5r3/k08mF/zImgoAAAA+uJ/9PLnt9ma25urJ17/aMfMBAACmrd69Sw4/pGSeuZv59Tckp5+h7wRAz+JwH3gPr79ec//9zWzllby0AAAwtWyzVcnqqzWzxx5Pjhxe09amaAcAAACdze13NJ/Xl1+ugyYCAPQ4c89VcvSwlhw9rGTw4Pbjt9+RbLplzZVX1dSqxwAAAAAA9Dy11hx1dM2/nm3mG34zWeeL3pEDAICe4vvfTRZZpJldemny0MPWUwAAAPC/PfpozZlnN58hBw9O9tmrpBQ9JwAA6CkGDiw5+qiSGWdo5pdfkfzs5/pOAPQcDveB9zDyzmRS21vXffokyy3bYdMBAOj2WlpKDj6gZP5PNvO/Xp+cfa6CHQAAAHQmY8fW3Hd/M1t5ZYvxAYBpa43VSy6+oGT9L7cfGzcuGXFCze5Da557Tp8BAAAAAOhZLv1JcsNNzWzxxZKdd9TXBQCAnqR375L99ynp3futbFJbctiRNWPHWk8BAADAe3vzzZpDj6iZOPGtrJTkwP1KZp5ZzwkAAHqaT81fctSRzb5TkpxyWs31N+g7AdAzONwH3sPfbm/eEC6zdDL99ArJAABT0wwzlAwfVjLjjM38kkuT3/xOwQ4AAAA6i3vuTVpb37ru1StZftkOmw4A0IMNGFCy/74tOe6YktkGtx8feWey2ZY1V/6qpla9BgAAAACg+7vzrpqzzmnWQ2camBxxWEmfPt6PAwCAnmahBUs237T5LPDMM8mpP7SOAgAAgPd26uk1T/2zmX33O8mKK+g3AQBAT7X8ciX77t18Jqg1OfSImgce1HsCoPtzuA+8i1pr/nZbM1t5JYVkAIBpYb55S448rKRXr2Z+3PE1d96lYAcAAACdwW23N5/Rl1wi6d9fLwUA6DifWaXk4gtLvrJ++7FxbyYjTqw58JCa117TawAAAAAAuq9Ro2oOPbymre2trJTk0INL5phdTxcAAHqqTb+fLL5YM7v618lfb7COAgAAgPb+ekPNr65uZp9eJNl2K/0mAADo6b68Tsk273g2mDAh2Wf/mn/9S+8JgO7N4T7wLv7xZPLCC81slZU7ZCoAAD3SiiuUDN2jWbBrbU0OOLjmn08r2AEAAEBHu/2O5vVKK1qUDwB0vBlnLNlv75aMOKZk9tnaj//1+mSrbWseeFCvAQAAAADofsaPr9n/oJp/v9LMt96y6OkCAEAP17t3ycEHlEzfr5kfe1zNSy9ZRwEAAMBbRo2qOea45rPi9P2SQw4q6dNHzwkAAEg23zT5yvrNbPToZOg+Na+M1nsCoPtyuA+8i1tubV7PPluywKc6Zi4AAD3V1zYo+c5Gzey115K996sZM0bBDgAAADrKqFE1Tz7VzFZeqWPmAgDwblZdpeRHF5R89Svtx557Ptlxl5rLflrT1qbfAAAAAAB0D7XWHDui5uG/N/NVV0k226Rj5gQAAHQu885bsvtuzU2YXx2TDDvaGgoAAAAmmzSp5sjhNWPGNPPddyv5xHwO9gEAACYrpWSvISUrrdjMn3km2WufmrFj9Z4A6J4c7gPv4uZbmjd/q31m8g0jAADT1g7bl6y5ejN75plk/4NqJk5UsAMAAICOcPvI5vWAAcmnF+mYuQAAvJcZZyzZZ6+WHHNUycCBzbFJk5LTz6jZd/+a0aP1GwAAAACAru8nlyfX/LGZzTtPcvCBJS0t3osDAAAmW//LyVqfbWa335Fc8fOOmQ8AAACdy6U/Se68q5l9fu3Jz5MAAABv17t3yZGHlSy4QDN/+O/JfgfWTJjg/V0Auh+H+8A7jHmt5v77m9lnVvUCAwBAR+jVq+TgA0sWWbiZ331PctQxNW1tCnYAAAAwrd12e/N5fIXlJz/DAwB0RquvVnLBuSVLL9V+7OZbk622q3noYf0GAAAAAKDruu32mjPOatY5+/dPhg8rGThALxcAAHhLKSV771ky2+BmfsbZNY89bv0EAABAT/bgQzXnnt98NpxjjmTPISWl6DkBAADtzTBDyYhjSuaco5mPvDM5fFjNpEn6TwB0Lw73gXe47bZkUttb19NNN3lTOgAAOsb005ccc1TJ4HcsFv/jn5LTflhTq4IdAAAATCttbTUjRzazlVeyMB8A6NzmmL3klBNLNtskeec7haNGJTvuUnPVr/UbAAAAAICu55lnag4+rKbtbe/DlZIcfGDJp+bXywUAANobOLDkgP2azwsTJyaHHVEzfrz1EwAAAD3RG2/UHHZEzaRJb2UtLcnBB5QMHKDnBAAAvLfZZis5YUTJzDM387/8NTnhJPuFAtC9ONwH3uGWW5s3e8svl/Trp6gMANCRZptt8gE/0/dr5pdfkVz6k46ZEwAAAPREjz6WjH61ma20QsfMBQDgw+jdu2S7bVpywnEls8zSHJs4MTl2RM0xI9rS2mqRMAAAAADQNbzxRs2+B9S8/noz32arkjVW8z4cAADw3lZcoeS7GzezfzyZnHKadRMAAAA9Ta01Rx9X869nm/nmmybLLK3nBAAA/G+fmK9kxDEl00/fzH91dXLu+fpPAHQfDveBt5k0qebWvzWz1T6jqAwA0Bl8epGSIw8v6dWrmZ9xVs2Vv1KwAwAAgGnhllub1/POm8w1l14KANB1rLRiyYXnliy7TPuxq3+dDN27Zsxr+g4AAAAAQOc2aVLN4cNqnnyqma+9VrLZJh0xIwAAoKvZduuShRdqZr+6Orn2L9ZNAAAA9CS/uDK57i/NbMklks039d4gAADwwS366ZKjh5X06dPML7o4ufxn+k8AdA8O94G3eejh5NUxzWy1VTtmLgAAtLfKyiUH7Nu+8T/ixJqrf61gBwAAAFPbLbc2n79XXaWDJgIA8DEMGlRy0vElG2/Ufmzkncn2O9Y8/Yy+AwAAAADQeZ1+Rs1NNzezBRdM9t+npBQbrQEAAP/bdNOVHHpQSb9+zfyY42qefc66CQAAgJ7g4b/XnPbD5jPggAHJoQeV9O6t5wQAAHw4KyxfcsiBJS3vOPnglNNrfv5L/ScAuj6H+8Db3HRL8wbvU/Mnc86psAwA0Jms86WSXXZqf4927PE1v/u9gh0AAABMLa+MrnnwoWa2+mf0UQCArql375JddmzJYQeX9O3bHHv66ckH/Nx1t74DAAAAAND5/PwXNZdf0cxmGpgMP7Jk+un1cAEAgA/uk58sGbJb8znijTeSQw6rmTDBugkAAIDu7LXXag46tGbixGZ+wH7F/osAAMBHttbnSvYc0v6Z4sSTa35xpf4TAF2bw33gbW65pXn9mc90zDwAAHh/G3+7ZKstmgW7WpOjjqm55g8KdgAAADA13Pq3yc/f/zF9v2SZpTtuPgAAU8IXPl9y+sklg2Zt5mPGJHvsWfOb3+k7AAAAAACdx8231Jx8WrNu2bt3MuyIkrnnsskaAADw4a335WTdLzWzhx5OTjzFmgkAAIDuqtaa4cfWPPdcM//uxskaq+k5AQAAH8/XNijZYfv2zxYnnFRz5a/0oADouhzuA//fc8/VPPZ4M1ttVcVlAIDOasvNk802aWa1JsOOrvnTnxXsAAAAYEq75dbm8/aKKybTTaeXAgB0fYsuWnL2mSULL9TMW1uT4cfUnHNeW2rVewAAAAAAOtajj9YcclhNW1sz32/vkmWX0bsFAAA+mlJKhu5RMu+8zfzqXydX/dp6CQAAgO7oil8k19/QzJZaMtl+Wz0nAABgyvj+d0u226b9M8aIE2t+dbUeFABdk8N94P+78ebm9UwDkyWX6Ji5AADwv5VSsu3WJd//bjNva0uOGFZz3V8U7AAAAGBKaW2tue22ZrbaqhbqAwDdxxyzl5x+Ssnqq7Ufu+ji5NgRNa2teg8AAAAAQMd48cWavferGfdmM99y82TddfRuAQCAj6d//5Jhh5f069fMTzy55oEHrZcAAADoTh58qOb0M5rPejMNTA49uKR3b30nAABgytlsk5Jttmr/nHHc8TVX/1oPCoCux+E+8P/dcGPzZm61z0SBGQCgkyul5AfblWy8UTOf1JYcenjNNX9QsAMAAIAp4b77k9ffaGafWbVj5gIAMLX0719y1BEl39mo/djVv0kOOrRm/Hi9BwAAAABg2ho7dvLBPi++1MzX/VKy1RbefwMAAKaMBRco2Xev5jPGxInJgQfX/Pvf1ksAAAB0B2Neqzn40JrW1mZ+4AElc8yu7wQAAEx5W2xWsvWW7Z83jhlR86ur9aAA6Foc7gNJxoypueeeZrbmGgrMAABdQSklO+9Q8q0Nm/mktuSIo2p+/gsFOwAAAPi4brm1+Xy9yCLJ4MF6KQBA99OrV8nOO7ZkzyElLe9YWXXDjcnQvWtee03vAQAAAACYNlpbaw4+rObRx5r5Mksn++xVUoq+LQAAMOV88Qsl39momb34UnLQoTWtrdZLAAAAdGW11gw/uub5F5r5Jt9LPrOKnhMAADD1bLl5yZabt8+PO77m8p/pQQHQdTjcB5Lccuvkzd//Y7rpkpVW7Lj5AADw4ZRSstvOJd/4evuxE0+pOf/CmloV7QAAAOCjuvmW5vVqq3bMPAAAppVvfK3kiMNKpuvTzO++J9l595qXXtZ3AAAAAACmrlprjjuh5ta/NfN5502OOqJkuulssgYAAEx5P9iuZIXlm9k99yannWGtBAAAQFf2058lN9zUzJZZOtlmKz0nAABg6ttqi5LNN22fn3J6zUUX60MB0DU43AeS3HBj8+Zt5ZWS6adXaAYA6EpKKRm6e8nGG7UfO//CmiOH10yYoGgHAAAAH9azz9U8+VQz+8yq+igAQPf3uTVLjj+uZIYZmvnjjyc77FTzzDP6DgAAAADA1HP+hTW/+W0zGzgwOe7okplm0rMFAACmjt69Sw49uGSOOZr5FT9PfneNtRIAAABd0f0P1JxxVvOZbuaZk0MPKundW98JAACY+kop2Warki02az92znk1Z53bllr1ogDo3BzuQ483fnzN325rZmusrsgMANAVlVKy8w4l227d/n7umj8kuw+tGT1awQ4AAAA+jBtubF7PPHOy2KIdMhUAgGluuWVLTju5ZNCszfy555Oddqt58il9BwAAAABgyrvq1zUXXNTMppsuOeaokvnm9e4bAAAwdc0yc8mww0um69PMjx1Rc8+91koAAAB0Ja++WnPwYTWTJr2VlZIcfEDJbLPpOwEAANPO5AN+WvKD7do/i1x8SXLKadUBPwB0ag73occbeWcy7s23rltaktVX67j5AADw8ZRSsvmmJUN2LynvqNnde1+y9fY1DzyoYAcAAAAf1A03Np+jV18taWmxaB8A6DkWXqjkjNNL5p2nmb/8crLzbjWPPqbvAAAAAABMOTfdXDPihGbdsaUlOfSgkqWW1KsFAACmjUU/XbLnkOYzyMSJyf4H1jzzjLUSAAAAXUFbW82w4TWjRjXzzTZJVl5J3wkAAOgYm3yvZPdd2z+T/OznybHH10yapBcFQOfkcB96vBtuat6oLblEMsvMis0AAF3d/32j5OhhJdP3a+YvvJDstGvNz3/hVG4AAAD4X14ZXXPvfc3ss2voowAAPc/cc5WccVrJIgs389Gjk133qHnoYT0HAAAAAODje+DBmoMPq2lra+ZDdiv57Jp6tQAAwLS1/nol39qwmb06Jtlrv5oxY6yVAAAA6Owu+2ly863NbNllki0313cCAAA61rf+r2TfvUvKOx5Prv51ctiRNRMm6EUB0Pk43IcerbW15oYbm9kaqys2AwB0F6uvVvLD00pmn62Zt7YmJ55Ss/9BNaNHK9oBAADAe7np5jQ2jZq+X7LiCh03HwCAjjTLLCUnn1CyxOLN/LXXkt2H1tx7n54DAAAAAPDR/fPpmn32qxk/vplvtknyja975w0AAOgYu+xYstqqzezpp5MDDq6ZONFaCQAAgM7q3vtqzj6n+dw2yyzJoQeX9O6t9wQAAHS8DdYvOfjAkl7vOCnh2uuSvferGTtWLwqAzsXhPvRo996XjB7dzD63ZodMBQCAqWThhUrOObNk2WXaj91wY7L5VjW3/E3RDgAAAN7NDTc2n5lXWTnp29fCfQCg5xowoOTEEe37Dm+8kQzZq2bknXoOAAAAAMCH9/zzNbsPrRn9ajNfb91k2631aAEAgI7Tq1fJoQeXLLRgM7/r7uS442tqtVYCAACgs3np5ZqDDqmZ1PZWVkpyyIElgwfpPQEAAJ3Hl75QcsRhJX36NPM7Ria77lHzymi9KAA6D4f70KNd99fmjdkiCyfzzKPgDADQ3QwaVHLS8SXf/277sZf/ney1T82w4W0KdwAAAPA2Y8fW3H57M1tzDX0UAID+/UtGHFOy0orN/M03k732rbn9Dv0GAAAAAOCDe+nlyQf7jBrVzFdeKdlnr5JS9GkBAICO1b9/ybHDSwYNaua//X1y8Y87Zk4AAAC8u4kTJx/s8/K/m/kWmyUrrqDvBAAAdD6fXbPkuKNLpp++mT/892THXWqee857uwB0Dg73oceaNKnm+uub2VqfU3AGAOiuevcu2WH7lhx9VMnMM7Uf/901yfc2rfnV1TWTJineAQAAwG23JxMmvnXdq1fymc903HwAADqTfv1Kjh5WsvpqzXzChGSf/WtG3qnXAAAAAAD8b6++WjNkz5pn/tXMF1s0OfKwkt69ve8GAAB0DrPPXnLMUSX9+jXzs8+t+cOfrJMAAADoLE49vea++5vZSismW2ym7wQAAHReK65QcupJJTPP3MyffjrZYZeaJ57QjwKg4znchx7r/gfS7kT5tT7XMXMBAGDaWWO1kovOL/nMqu3HXnstOe74mq22q7ntdsU7AAAAerbrb2g+Gy+3bDJwgAX8AAD/0bdvyZGHlXbrTf5zwM9dd+s1AAAAAADv7Y03avbcp+aJfzTzBT6VjDimpH9//VkAAKBzWfTTJYccWFLe8bgybHjNrX+zTgIAAKCj/e73Nb+4spnNOUdy6EElvXrpPQEAAJ3bop8u+eGpJXPO0cxfeinZcZea2+/QjwKgYznchx7rur80b8QWXCD5xHyKzgAAPcGgQSXHDi/Zc0jJDDO0H3/88WTIXjV77NmWu++pqVURDwAAgJ6ltbXm5lua2Zpr6KMAALxTnz4lhx5U8oW1m/mbbyZ771tzz716DAAAAABAe2++WbPP/jUPPdzM550nOWFEyUwz6c8CAACd05prlOy0Q/OZZdKk5ICDa+673zoJAACAjvL3R2qOO6H5XDbddMlRR+o9AQAAXccn5is58/SSBT7VzF9/I9lz75pfXa0fBUDHcbgPPVJbW81frm9ma6+l6AwA0JOUUvKNr5X8+EclX/j8u3/m9juSnXer2XGXmutvqGltVcgDAACgZ7hj5OSFLW+35uodMxcAgM6ud++Sgw4oWetzzXzcm8me+9i4BgAAAABomjix5sBDau6+p5nPPlty0vElgwd5zw0AAOjcNv528q0Nm9n48cle+9Y8/oR1EgAAANPa6NE1BxxUM2FCM997z5JFFtZ7AgAAupbBg0tOO6VkqSWb+aS25Ljja049vS2TJulJATDtOdyHHumBB5OXXmpm79xgBQCAnmHwoJLDDm7JiSPan879H/fdn+x/UM1G36254KKaF0Yp5AEAANC9XffX5rPv4osls89uET8AwHvp3bvk0INKPrtmMx83Lhm6d839D+gtAAAAAABJa2vNwYfV3Pq3Zj7LLMlJJ5TMOae+LAAA0PmVUrLrTiXrfLGZv/56MmSvmmefs04CAABgWmltrTnk8LY8/0Iz3/CbyZfX0XsCAAC6poEDSk4cUbLWZ9uP/fRnyX4H1owdqycFwLTlcB96pOv+0rzpmn/+ZP5PKj4DAPRkK61YcsG5JfvuVTJo0Lt/ZtSLyXkX1Gy4Uc12O7Tlsp/WPGeROQAAAN1Ma2vNDTc2s7XX0kcBAPhfevcuOezgkjVXb+ZjxyZ77l3zyKN6CgAAAADQk7W21hw+rH0/dsYZkxOOK/nEfPqyAABA19HSUrL/viWrrdrMX3452WNozb//bZ0EAADAtHDyqWNzx8hmtvRSyc476j0BAABdW79+JYcfWrLpJu3Hbr4l2XGXmhdG6UkBMO043IceZ9Kkmmv/0szW/lyHTAUAgE6mV6+SDb5S8tMfl+y+a8kcc7z3Zx98KDn9jJpvf7dmm+3bcsmlNU/8o6ZWxT0AAAC6tpF3JmPGNDO9FACAD6ZPn8kLhVf7TDN//Y1kyJ41Tz6ljwAAAAAAPdGkSTXDj6m59rpmPv30yYhjShZeyOZqAABA19O79+R1Ekst2cz/9WwydO+aMa9ZJwEAADA1XfOH8Tn/wjcb2aBByRGHlvTpo/8EAAB0fS0tJdtv05ID9ivp3bs59tjjyTbb19x9j54UANOGw33oce65N3nppWb2+bUVnwEAeEu/fiXf+r/Jh/wcuH/JYou9/+cf/nty5tk1m21Zs+FGNcOPbcuvf1vzjydr2toU+gAAAOharvtL81l2scWSOefUSwEA+KD69Ck58rCSVVdp5qNfTfYYWvPsc3oHAAAAANCTtLXVHHt8zTV/bOb9+iXHHV2y5BL6sQAAQNfVr1/JscNLFlywmT/6WLL70JoxY6yTAAAAmBqe+EfNAQe/3sh6906GHV4yaJD+EwAA0L2st27JySeUzDSwmb/ySrLbkJqf/bymVn0pAKYuh/vQ4/zxT80brIUWTD41vwI0AADt9e5d8uV1Ss45oyXnnlXy1Q2SAQPe/29GvZj85rfJ0cfWbLpFzfpfrRmyV1vOu6Att/6tZsxrCn4AAAB0Xq2tNdff2MzW/pw+CgDAhzXddCXDDi9Zfrlm/uJLkzeueekl/QIAAAAA6AlqrTnh5Jrf/LaZTzddcvSwkmWX0Y8FAAC6vgEDSo4/tmTuuZv5I4844AcAAGBqeP31mv0PbMu4cc18t11KllxC/wkAAOiellm65OwzSj75iWY+aVJy8qk1Rw6vGT9eXwqAqcfhPvQoEybUXPfXZvalLypAAwDwvy366ZJ99mzJVb+YvMh8g/WTgQP/99+9/kZy2+3JBRcle+4z+bCfTTZvy1HHtOWqX9c88URNW5sCIAAAAJ3DXXcnY8Y0s7U/1yFTAQDo8vr2LTl6WMniizXzZ59Ndt+zZvRo/QEAAAAA6M5qrTnltJorf9XM+/RJjjqiZMUVvNcGAAB0H4MHlZw4omS2wc38kUeT3YbUvPqqdRIAAABTQltbzRFH1Tz9TDNff73kG1/rmDkBAABMK/PMU3Lm6SWrrdp+7Jo/JDvsXPPcc/pSAEwdDvehR/nbbcnrrzezL3y+Y+YCAEDX1KdPySorl+y79+SDfk4cUfL1ryZzzPHBv+PJp5Lf/i45dkTNZlvVrPfVmt2HtuXc89ty2+0148YpBgIAANAxrv1L85l0sUWTueayoRQAwEfVv3/JiGNKFlygmT/5ZDJ075o33tATAAAAAIDuqNaaM86u+dnPm3mvXskRh5Wsuoo+LAAA0P3MM3fJqSeVzD5bM3/0sckH/IwebZ0EAADAx/WjS5Kbbm5mn/50MnT3klL0oAAAgO5vwICSo48q2XLz9mOPPJpss33NHSP1pQCY8hzuQ4/yxz83b6iWWTqZcw5FaAAAPprevUtWWrFkr6EtueInJZdcVLLrziVrr5V2i8/fzxtvJHeMTC78UTJkr5ovb1Czw85tueCimkcfq6lVYRAAAICpr7W15vrrm9naa+mjAAB8XAMHlpxwXMm88zbzvz+S7L1fzZtv6gMAAAAAQHdz/oU1l17WzHq1JIcdXLLGavqwAABA9zXvvP//gJ/Zm/ljjye7DXXADwAAwMdxy601513QfK6aZZaSo45oSd++elAAAEDP0dJSsvWWLRl+ZEn//s2xV8dM3tfz0p/YyxOAKcvhPvQYY8fW3HhTM/vSFxShAQCYMkopmf+TJRt9q+SIQ1vyi5+15BeXlxxxaMnGGyVLLpFM1+eDfdekScl99yfnXVCz5TY1G3235qRT2zLyzprWVsVBAAAApo7bbp+8QOXt1vpcx8wFAKC7GTSo5KTj229cc8+9yYGH1EycqP4PAAAAAN3FRRfXXHBRM2tpSQ48oGStz3mfDQAA6P7mmWfyAT9zzNHMH3882XWPmpdetk4CAADgw/rn0zWHHVnz9n2pW1qSEccMyJxz6EEBAAA905prlJxzRskn5mvmbW3JD8+sOfTwmrFj9aYAmDIc7kOPcf2NyYQJb1336mVDOgAApq7ZZy9Ze62SXXZsyZmnt+T3vyk564clu+5c8oW1kznn+N/fkSTPPZ9c8fNktyE1X/1mzYgT2vLIowqEAAAATFl/+FPzWXPJJZK557KoHwBgSplzjpKTTyiZdZZmfuvfkiOPqpk0Se0fAAAAALq6Cy6qOee8Zq2vlGS/vUu+9AX9VwAAoOeYZ+53P+DniX8kO+5S869nrZMAAAD4oMa8VrPP/jWvv97Mh+zeP6uu0qdjJgUAANBJfPKTJeecWbLmGu3H/nxdss32NY8+pjcFwMfncB96jN9f07x5WnmlZOaZvRABAMC0M910JUssXrLRt0oOO6QlV/y0JVdeUTLs8JLvfWfypsm9er3/d7z2WnLlVclW29Zss31brvq1k8ABAAD4+MaOrbnxpmb2pS/qowAATGnzzVtywoiSGWds5n++Ljn+pJpa1fwBAAAAoCuqtea8C9py3gXta3x7DS1Z78v6rwAAQM8z91yTD/iZ8x0H/Dz77OQDfp54wjoJAACA/6W1tebQw2uefrqZf37tki0269cxkwIAAOhkZphh8r6e22xVUt6xXO+fTyfb71Bz5a+8xwvAx+NwH3qEF0bVjLyzmdmQDgCAzmDw4JLPfbZkxx+05MzTW/K7q0uOP7bk2xsmc835/n/78N+TY0fUfH3DmmOPb8s/nlQoBAAA4KO54cbkzTffuu7Vknx+7Y6bDwBAd7bQgiUjjinp9473KK+6OjnjLAuDAQAAAKCrqbXmnPNqLrio/dgeu5V8bQPvsQEAAD3X3HOVnHZyybzzNPOXX0522q3m/geskwAAAHg/Pzyz5rbbm9lCCyb771NS3rljNQAAQA/W0lKyxWYlxw4vmXGG5tiEicmIE2sOPqzm9df1pwD4aBzuQ4/whz8mb9/3pH//5LNrdNx8AADgvfTvX7LKyiW77dKSyy8rueDckq23LFlkkff+m3HjJm/4t+kWNfsd0JYHHlQsBAAA4MO55o/NZ8mVV05mmdnCfgCAqWXJJUqGH1nSp08zv/QnySWXdsycAAAAAIAPr9aaM8+u+dEl7ceG7lGy4Tf1XQEAAOacs+SHp5YstGAzf+21ZPehNbff4Z1IAACAd3P1r2suv6KZzTJLcvRRJdNPrw8FAADwbj6zasl5Z5d8+l328LzuL8mW29Y89LD+FAAfnsN96PZqrfnd75s3Sp9fK+nXT0EaAIDOrZSShRcq2XLzkvPPbskVPynZcvNk9tne+29uuCnZfseaXfdoy22319SqaAgAAMD7+/e/a+4Y2cy+9EV9FACAqW2lFUsOPbik5R0ruM46p+YXV6rvAwAAAEBnV2vND8+s+fFl7cf2Glryza/ruwIAAPzHrLOWnHpSyVJLNvM330z22rfmz9dZKwEAAPB299xbc/xJzWelPn2So44omXMOfSgAAID3M888JWecVrLRt9qPPfdcssPONT/9mf06AfhwHO5Dt/fgQ8k/n25m631ZQRoAgK5nzjlLtt6yJZdfVnLMUSVrrJ52G/79x513JUP2qtl6+5rbblcwBAAA4L39+bqkre2t6+n7JWuu3nHzAQDoST63Zsl+e7dfx3LCSTV/+KP6PgAAAAB0VrXWnHp6zWU/bealJPvuXfL1r3p/DQAA4J0GDCg5cUTJqqs089bW5JDDai662AZqAAAASfLcczUHHFTT2trM9x5astSS+lAAAAAfxHTTley6c0uOHlYyYEBzrLU1OfX0mn32r3n1Vf0pAD4Yh/vQ7f3umuaN0TxzJ0sv1UGTAQCAKaB375LVVys5elhLrvhJyeabJjPO+O6ffeSRyYf8DNmrLY8+pmgIAABAe+/cNH7NNZLpp7fAHwBgWlnvyyW77dL+/mvY8Jobb1bbBwAAAIDOptaak0+tufyKZl5Ksv8+JRusr98KAADwXvr1Kxl+ZMkXPt9+7Jzzao48qmbCBOslAACAnmvs2Jp9D6gZ/Woz/+7Gk9eeAwAA8OGssXrJBeeWLLVk+7Gbb0m22Lpm5J36UwD8bw73oVubMKHmz9c2sy+vW1KKwjQAAN3D7LOXbLt1S35xecmOPygZNOjdP3fb7clW29YMG96WUaMUDgEAAJjsH0/WPPRwM/vSl/RRAACmtW9vWLL1ls37sEltycGH1Nx5l7o+AAAAAHQWbW01J5xcc8UvmnlLS3LgfsWGagAAAB9Anz4lBx9Q8s1vtB+75o/JbkNqXnnFegkAAKDnaWurOXxYzeNPNPPPrJr8YDt9KAAAgI9qzjlKTj2pZNNNknduT//iS8nuQ2tOP6MtEyboUQHw3hzuQ7d2083Ja681sy+v0zFzAQCAqal//5LvfafkZ5eV7L1nybzztP9Mrcnvrkm+s0nNWee25c03FQ4BAAB6ut9d03w2HDRrstIKHTQZAIAebovNko2/3cwmTEz22b/mwYfU9AEAAACgo7W21hwzouaXVzbzlpbkwP1L1l3HhmoAAAAfVK9eJUN2K9llp9JuA7X77k+226HmiX9YLwEAAPQs55xXc+NNzWz++ZNDDyrp1UsvCgAA4OPo3btk+21acvyxJbPM0hyrNbnsp3pUALw/h/vQrV39m+ZN0LLLJHPNpTANAED3Nd10JV/boOTHPyrZd++SwYPbf2bChOTiS5LNtqq5/Q6FQwAAgJ6qtbXmmj80s3XXmbwYBQCAaa+Ukp13LPnK+s183Lhkz31qnnhCTR8AAAAAOsqECTWHHF7zm982814tySEHlqzzRX1WAACAD6uUko2/XTJ8WMn00zfHnns++cFONbfcar0EAADQM/zhTzUX/7iZDRyYHDOsZIYZ9KIAAACmlJVXKrnw3JIVV2g/9tjjyTbb11zxi5pa9akAaHK4D93Ws8/V3H5HM/vK+grTAAD0DL16lWywfsllF5dss1X7he1J8uyzyR571gwb3pZXX1U4BAAA6GluH5m8/HIz+/K6eikAAB2plJK9h5as9blmPmZMssdeNf96Vj0fAAAAAKa1sWNr9tm/5q/XN/NevZJDDy75wuf1WQEAAD6ONVYrOeO0kjnmaOZjxyZ771dz8Y9tngYAAHRv99xbM/yY5nNPr17JkYeVzDOPXhQAAMCUNmhQyQnHleyyU0mfPs2xCROSk06pGbp3zQuj9KgAeIvDfei2fv2bmrevzZlxxuTza3XYdAAAoENMP33JFpuV/PTHJd/4etLrXZ4Cf3dN8v3Na/7wJwvcAQAAepLf/b75DLjYoskCn7LQHwCgo/XqVXLwASUrr9TMX3452X1ozUsvqeUDAAAAwLQyZkzNHnvW3H5HM5+uTzLs8JK119JjBQAAmBIWWrDk7B+WLL5YM681OeucmkMPr3nzTWsmAACA7uefT9fsd2DNxInNfI/dSpZfTi8KAABgamlpKdn42yXnnlWywKfaj992e7LZljW//Z19OgGYzOE+dEutrTW/+V0zW/dLSd++CtQAAPRMs85asuceLbnw/JKllmw/Pnp0cviRNXvtWzPK6eAAAADd3pjXam64sZmt92V9FACAzmK66UqGHd6+pv/cc8nue9a8+qpaPgAAAABMbS+9XLPzbjUPPNjMp58+GXFsyRqr67ECAABMSYMGlZx6UskXPt9+7M/XJTvuUvP889ZMAAAA3ccro2v22qdmzJhmvuE3k298TS8KAABgWlhwgZJzzizZ+Nvtx954IznqmJp99q956SV9KoCezuE+dEu33Jq8/HIz++oGCtQAAPCp+UtOP6Vkzz1KZpih/fitf5t8Ovjvfu90cAAAgO7sz9cmEye+dd2nT/LFd3kRGgCAjjP99CXHDi9ZeKFm/uSTydC9a15/XR0fAAAAAKaWfz1bs+MuNU/8o5nPNDA59cSS5ZfzrhoAAMDU0LdvyaEHlWy/bUl5x6PXI48m22xfc/c91kwAAABd3/jxNfsdUPOvZ5v5ap9Jdt1ZLwoAAGBa6tu3ZJedWnLiiJLZBrcfv/mWZNMta/7wR/t0AvRkDvehW7r6182bm8UXSxZaUJEaAACSpKWl5BtfL7nkwpLPrtl+/PU3kmFH///TwV9WOAQAAOiOfv2b5vPeGqsnAwfqpQAAdDYDBpSccFzJfPM184f/nuyxV81rr6njAwAAAMCU9sQTkw/2efYdG6nNNjg5/dSSRRfVWwUAAJiaSinZ9Pslxw4vmXGG5tjoV5PdhtRcfoWN0wAAgK6rra3myOE19z/QzBdZJDn0oJJevfSjAAAAOsJKK5b86IKS9dZtP/baa8nhw2oOOLjm3//WpwLoiRzuQ7fzwqiaW29rZl/bQIEaAADeabbZSo46oiXDDi8ZNKj9+M23JJtuUfOHP1nkDgAA0J08/Peavz/SzNb/sl4KAEBnNcssJSeOKJl99mb+0EPJ7kNrxoxRwwcAAACAKeWBB2t22q3m5Zeb+bzzJGecVjL/J/VWAQAAppXPrFpy9hkln5ivmU+alJxyWs2hh9eMHWvdBAAA0PWcdU7NdX9pZrPPnhw7vKR/f/0oAACAjjRgQMkB+7Xk6GElg2ZtP379DZP36fzzdfpUAD2Nw33odq66uqat7a3r/v2Tz6/dcfMBAIDO7nOfLbn4gpJ1v9R+7LXXksOPrDnwkJpXX1U8BAAA6A6u+nXz+W722ZOVV+qgyQAA8IHMOUfJSSNKZp2lmf/9kckH/KjhAwAAAMDHd8fImt2H1Lz2WjNfaMHkh6eWzDmnjdQAAACmtU98YvIBP6ut2n7sz9cl2+1Q8+RT1k0AAABdx6+urvnxZc1shhmS444uGTxIPwoAAKCzWGP1kh9dUPLFL7Qfe3VMcshhNQcf1pbRo/WqAHoKh/vQrUyYUHPVr5vZl74QJ9ADAMD/MHBgyUEHtOSoI0pmmaX9+F+vTzbfuub2OxQOAQAAurKxY2v++Kdm9tWvlPTqpZcCANDZfeITJaeeVDJoUDN/5NFktyHV4l8AAAAA+Bj+ekPNXvvWjHuzmS+1ZHLqSSWzzqqnCgAA0FFmnLFk+LCSzTZpP/bkU8m229f8+VrrJgAAgM7v1r/VnHBi8/mlV6/kyMNKFlxAPwoAAKCzmWmmkkMPasmRh5XMPFP78WuvSzbdsub6G/SqAHoCh/vQrfzl+uSVV5rZ/31ToRoAAD6oz65ZcvEFJV/4fPuxl15Kdh/almOOeyPjxyseAgAAdEV//HMybtxb1y0tyQbrd9x8AAD4cD75yZLTTi6ZbXAzf+zxyQf8vPKK+j0AAAAAfFi//V3NQYfUTJzYzFdZOTnhuJIBA7yfBgAA0NF69SrZbpuWHHNUyYwzNsfGvZkccnjNyae2ZeJEaycAAIDO6dHHag46tGZSWzPfa0jJSivqRwEAAHRma32u5OILS9b6bPuxV15J9j+o5ohhbXntNb0qgO7M4T50K7/4ZfPGZdll4hR6AAD4kGaeueSwg1tyxKElMw1sP/6jS97MdzZ5NU/8Q+EQAACgq/nV1c1nudU+k8w2m14KAEBXMt+8kw/4mX32Zv74E8kuu9eMGqV+DwAAAAAf1OU/qznqmJq2d2yi9vm1k6OHlUw/vX4qAABAZ7L6aiXnnV2yyMLtx37282TXPWpefNHaCQAAoHN58cWavfetGTeumW+6SbLBV/SjAAAAuoJZZik54rCSQw8qGfgu+3Re88dksy1rbrtdrwqgu3K4D93Gw3+vuf+BZrbhNxWrAQDgo1p7rZKLLihZeaX2Y488Milbb9eWn/28plbFQwAAgK7g4YdrHnmkmX39q3opAABd0TzzTD7gZ845mvmTTyU/2LnmqafU7gEAAADg/dRac+75bTnl9Pa1tK99NTnkwJI+ffRTAQAAOqN55i4547SSDdZvP3bf/cmW29aMvNPaCQAAoHMY81rN0L1rXnypmX/xC8m2W+lHAQAAdCWllHzxCyUXX1Cy+mrtx198KRmyV82IE9sybpx+FUB343Afuo1fXNm8UZltcLLmGh00GQAA6CYGDyoZcUzJbruUTNenOTZhQnLyqZMXkLz0ssIhAABAZ3flVc1ntznmyLse6AoAQNcw91wlp55UMtdczXzUqGTHXWoefEjtHgAAAADeTVtbzUmn1Fz4o/Zj3/9usteQkl69bKQGAADQmfXtW7Lv3i3Zd6/27z6OHp3ssWfNBRfVTJpk/QQAANBxxo+v2We/mif+0cyXXirZf5+SlhY9KQAAgK5o0KCSo4eVHLBfyYwztB+/8lfJFlvX3HufXhVAd+JwH7qFV1+t+dOfm9nXv1bSu7eCNQAAfFwtLSXf3rDk3LNKFlyg/fhttydbbFVz400KhwAAAJ3Vq6/W/OFPzWyD9W1IBQDQ1c01V8lpJ5d8Yr5m/uqYZJfda/58ndo9AAAAALxda2vNsOE1P/9l+7EfbFeyw/YtKUUfFQAAoKvY4CslZ5xeMtdczbytLTnvgpohe9X8+9/WTwAAANNea2vNIYfX3Hd/M59vvmT4kSXTTacnBQAA0JWVUrLeuiUXXVCy4grtx//1bLLTrjU/PKstEyboVwF0Bw73oVu48qpkwoS3rnv3Tr62QcfNBwAAuqMFFig558yWbLZJv3Zjo19N9j2gZsQJbXnzTYVDAACAzubq3zR7Kb16JV/VSwEA6BbmmL3kh6eWLLZoMx8/PjnksJpzz29LW5vaPQAAAACMH19zwME11/yxmZeS7DW0ZJPv2UANAACgK/r0IiXnnV2y2qrtx0bemWy5Tc3IO62dAAAApp1aa0acUHPjTc188ODkxONKZppJXwoAAKC7mGP2khOOKxmye0m/d2zVWWty6WXJNtvXPPKofhVAV+dwH7q88eNrfv6L5k3J59dKZp1V0RoAAKa0vn1L9tlrhpxz5oAMGtR+/MqrJhcOH1U4BAAA6DRaW2t+ceU7eilrJ4MH6aUAAHQXM89ccvIJJSut2H7swh8lBx5SM3as2j0AAAAAPdcbb9QM3bvmppubee/eyaEHlXz9q/qnAAAAXdnAASVHH1Wy/bYlvd6xm87L/052H1pz/oU1kyZZPwEAAEx955xX8+vfNrMZZ0iOP7Zkzjn1pQAAALqblpaS//tGyQXnliy1ZPvxJ/6RbPuDmgt/VNPaql8F0FU53Icu749/Tv79SjP7zsaK1gAAMDWt9pnpcvEFLfncZ9uPPflUst2ONT+5vKatTeEQAACgo914UzJqVDP79oZ6KQAA3U3//iXHDi/52lfbj11/Q7LDLjXPPaduDwAAAEDP88roml33qLn7nmbet29y9LCSL3xe/xQAAKA7aGkp2fT7JaecVDLb4OZYrcn5F9YM2avm5ZetnwAAAKaeK35R86NLmtl0fZJjhpcsuIC+FAAAQHc237wlp51c8oPtSvr0aY5NmpSce37NDjvXPPWUfhVAV+RwH7q0WidvGP52KyyfLLKwwjUAAExtM81UcuRhJfvsWdKvX3Ns4sTktB/WDN275iUL3QEAADrUFb9oPpctvliy+GJ6KQAA3VGfPiV7DSnZY9eSXu9YGfb448m2P6i58y51ewAAAAB6jhdG1ey8a83fH2nmM86QnDiiZNVV9E4BAAC6m2WWLrng3JJVV2k/NvLOZMttau4Yaf0EAAAw5f352pqTT20+b7S0JIcdUrLM0vpSAAAAPUGvXiWbfK/k3LNKFlqw/fhDDydbbltz+RU1bW16VgBdicN96NJuvS158slm9p2NFK4BAGBaKaXkqxuUnH92yacXaT9++x3J5lvW3HiToiEAAEBHePSxmrvvaWbf2lAvBQCgOyulZMP/Kzn+uJIBA5pjo19NdhtSc9Y5bWltVbsHAAAAoHt7+pmaHXepeeqfzXyWWZJTTy5Zeim9UwAAgO5q5plLjh1e8oPtSnq9Y3edf7+S7LFnzXkXtGXSJOsnAACAKeP2O2qOOKqmvuMxY68hJWuuoS8FAADQ0yy4QMk5Z5Zstsnkg1/fbsKE5JTTanYbUvPcc/pVAF2Fw33o0n7y0+ZNx/yfTFZZuYMmAwAAPdgnPlFy5ukl3/tuUt6xnuTVMcm+B9SMOKEtb76pcAgAADAt/eyK5nPYoFmTtT/XQZMBAGCaWnGFknPOKJn/k8281uTiHyc77Fzzz6fV7QEAAADonh59dPLBPi+80MznnCP54aklCy9kAzUAAIDurqWlZJPvlZx6csnsszXHak0uuGjyIT8vvWz9BAAA8PE8/Pea/Q+qaW1t5ttuXfLVDfSlAAAAeqo+fUq226YlZ5xWMt987cfvujvZfOua3/+hpr7ztFgAOh2H+9BlPfxwzcg7m9l3NippaVHABgCAjtCnT8mO27fkpONLZhvcfvzKq5Jttq959FFFQwAAgGnhpZdr/vCnZvb1r5X06aOXAgDQU8w7b8mZp5estmr7sYceTrbYuubSn9RMmqR2DwAAAED3cc+9NbvsXvPKK838k5+YfLDPfPPqmQIAAPQkSy9Vcv45JZ95l/UTd96VbLlNze13WDsBAAB8NE89VbPnPjXjxjXzDb+ZbLZJx8wJAACAzmWJxUsuOKfkWxu2Hxs7NjnyqJpDD68Z85qeFUBn5nAfuqyLLmneZMwyS/KlL3bQZAAAgP9aYfmSC88r+dxn2489+VSy7Q41l/20pq1N4RAAAGBq+vkva1pb37qerk/yza933HwAAOgYM85YcvRRJTvtUNK7d3NswoTkh2fW7LBzzaOPqtsDAAAA0PXd8reaIXvVvP5GM//0Isnpp5TMPruDfQAAAHqimWcuOeaokh1/UNLrHbvtvPJKMmSvmvMuaMukSdZPAAAAH9wzz9TsOqRm9Ohm/vm1k113LilFbwoAAIDJ+vUr2X2XlpxyYskcc7Qf//N1yRZb19x5l34VQGflcB+6pMcer7nhxma28bdL+vZVwAYAgM5gpplKjjysZJ89S/r1a461tiann1EzdO+al15SOAQAAJgaxo2rufJXzWzddZNZZtFLAQDoiVpaSr67ccmZp5fMO2/78QcfSrbevuaEk9oy5jW1ewAAAAC6pj9fW7Pv/jXjxzfzZZdJTjmxZOaZ9UsBAAB6spaWku99p+TUk0tmn605VmtywUXJ7kNrXnrZ2gkAAOB/e/75mt2G1rz8cjNfYfnkwP1KevXSmwIAAKC95Zcr+dH5Jeut235s1KhktyE1PzyrLRMn6lkBdDYO96FLuviS5k3FgAHJ/32jY+YCAAC8u1JKvrpByfnnlHx6kfbjt9+RbL5VzY03KRoCAABMab/9ffLaa83sO9/2MgAAQE+36KdLLjin5NsbJuUdt4dtbckvrky+8/2ai39cM3as+j0AAAAAXcevrq459IiaSZOa+eqrJccfWzLDDPqlAAAATLb0UiUXnFuy2qrtx+66O9lym5rb77BuAgAAeG+jRtXsOqTmhRea+eKLJUcdUTLddHpTAAAAvLcZZig5YL+WHH5oyYABzbFak0svS7bfqeafT+tZAXQmDvehy/nnP2uu/Usz2+hbJf37K2IDAEBn9In5Ss48veT7322/UeCrY5J9D6gZcUJb3nxT4RAAAGBKmDSp5vKfNZ+xVvtM8slP6qUAAJBMP33Jbru05PRTSuadt/34mDHJWefUfOs7NT+6pOaNN9TvAQAAAOjcLrm05rjja+o7SlnrfikZdnhJ3756pQAAADTNNFPJ0UeV7PiDkl7v2H3nlVeSIXvVnHNeW1pbrZsAAACaXn65ZrehNc8+28wXWSQ5/tiSGWbQmwIAAOCD+fxaJRedV7LC8u3HHnkk2Xrbmt/8rqa+c4EkAB2id0dPgI/umWeeyYMPPphRo0Zl4sSJGTBgQOaff/4stdRS6du3b0dPb6q5+MfNFy369082/L+Omw8AAPC/9elTssP2JausXHPEsJoXX2qOX3lVctfdNYcclCyysEUqAAAAH8eNNyX/eseLAd/ZyLMWAABNSy9VctF5yWU/nbweZ/z45viYMcnZ59b85PLkOxslG34zXf5F01prnnvuuTz22GMZNWpUXn/99fTp0ycDBw7MfPPNl8UWW6xbr7sCAAAAmFYmTpyYJ598Ms8991xefPHFjB07Nq2trZlhhhky00wzZaGFFsr888+fXr16fazfqbXmjLNrLr2s/diG30x226WkpeW9a1rjxo3LQw89lKeffjqvv/56Jk6cmBlnnDGDBg3KYostljnnnPNjzQ8AAIBp68OuC2hpKfned5KllkwOObxm1Ki3f1dy0cXJPffWHHpQMnhw114zAQAAPcXU3p/xldGTD/Z5+ulmvsCnkhOPKxkwoP2zQ2tra5566qk88cQT+fe//52xY8emf//+GThwYBZaaKEsuOCCaWlpafd3H8WoUaPy+OOP57nnnsvrr7+elpaWDBgwIHPNNVeWWGKJzDDDDFPkdwAAAHqaV199Nffcc0/+9a9/Zdy4cZl++ukzzzzzZJlllslMM830sb579tlLThyR/PRnk9/rnTjxrbFxbybDj6m57bZkzyFpPHd6ZxZg2nO4Txf017/+Neeff37+/ve/v+t4//79s/7662ebbbbJzDPPPNXns8MOO+Suu+76yH9/4IEHZoMNNvifnxs5cmR22mmndvmYN5N1vvS/f2fOOefMlVde+RFmCAAATCnLL1dy4XnJscfX/PX65thT/0y226Fmu20mbxL4fi9TAwAAjBo1Kg8++GAeeOCBPPjgg3nooYcyduzY/4531r7Am2++mU022STPPPNMI19//fVz8MEHf+zvr7Xm4h/XRrbIIslyy37srwYAoBvq27dki82SL6+TnHZGzV/+2v4z/znk55JLk/XXq9nwmyXzzftWDf+91vR8UFP73n3MmDG5/vrrc8stt2TkyJEZPXr0e362d+/eWX311bPxxhtn+eWXn2pzAgAAAOiOrr322tx+++2599578+STT2bSpEnv+/kZZ5wxX/rSl7Lxxhtn/vnn/9C/N2lSzYgTa67+dfuxLTdPttqipJR3X4s6cuTI/OQnP8nNN9/8vvOcb7758o1vfCMbbrhh+vXr96HnCAAA0B30hHUBSy1ZcsE5ybCja26+pfk3d9+TbLFNzcEHJCuv5J1HAADorKbF/oyjR9fsMbTmySeb+SfmS046vmSmmd56Znj22Wdz7bXX5rbbbss999yT8ePHv+f3zjjjjPnyl7+cjTbaKJ/4xCc+1JzGjh2bv/zlL/nTn/6U22+/PaPefmrpO/Tq1SvLLbdcNtpoo3z2s5/9UL8DAADQUz366KM5++yzc9NNN6Wtra3deK9evbLaaqtlu+22y8ILL/yRf6elpeS7GycrLp8cekTNU/9sjv/5uuSBB2v2HDImL714w1R9Z/bj9gff6fTTT88KK6wwxb4PoCM53KcLmTBhQoYNG5ZrrrnmfT83duzYXHHFFfnzn/+co446Ksstt9w0miEAAEB7r7/+eh588MH//ueBBx7Iyy+/3PhMr+l+ntIyV1pbkx+eWfO325ID9p18ivjUcM455+S88877yH8/pTbdBgAAPpx77rknl156aR588MG8+OKLHT2dj+TMM89sd7DPlHTHyOThd7x/8N2N33vTKgAASJI55yw58rCSRx6tueDCmhtuav+ZsWOTK36eXPHzmhWWr1n3SyVrfW7az/XDOO6443LVVVdl4sSJH+jzra2t+etf/5q//vWvWX/99TN06NDMMMMMU3mWAAAAAN3DiSee+KH6uK+//np++ctf5uqrr87mm2+ebbbZ5gP3NSdOrDl8WM11f2k/tutOJRt9+92/Z/z48Tn22GPzm9/85gP9ztNPP51TTz01v/zlL3P44Ydn8cUX/0B/BwAAwLQxJdcFzDRTyTFHJT+5PDnz7Jq3nwU7enQydO+aTb9fs9UWJb17W5cLAACdxbTan/GV0TW7D6l5/IlmPs/cycknlMw6a/nvfHbYYYc88MADH/i7X3/99VxxxRX51a9+lR/84Af53ve+94H6ZhdeeGEuuuiijB079gP9zqRJk3LHHXfkjjvuyKqrrpqDDjoogwYN+sDzBAAA6Gl++tOf5pRTTsmktzeO3mHSpEm54YYbcvPNN2e33XbLRhtt9LF+c+GFS847Oznl9Jqrrm6O/euZEdl9t6uTdK13Zvv06TPNfxNganG4TxfR1taWAw88MNdff30j79WrV+aYY47MOOOMefbZZ/P666//d+yVV17JHnvskVNPPTVLLbXUtJ7yFPfc8x09AwAA4IN6+eWXc/rpp+eBBx7IP//5z9RaP9Tfj7wz2Xzrmr2HJmuvZaE7AAAw2UMPPZS//vWvHT2Nj+yBBx7I5ZdfPlV/45JLm89fc8+drN3JN1wHAKDzWGThkuHD/v8hPxfV3HDju39u5J3JyDtrjj8pWWKxD9cDmJYeeOCBd93Ap1evXhk0aFBmnXXWtLa25vnnn2+su0qS3/72t3nyySdz2mmnpX///tNqygAAAADdSt++ff/77ltbW1tGjx6dF154obGutLW1Needd15GjRqVAw444H9+57hxNQccXHPb7c28pSXZd6+S9dd793Wnra2t2XfffXPLLbe0GxswYEDmmmuu9O7dOy+//HJeeOGFxvgzzzyTXXfdNaeddloWXXTRD/DfHAAAgGlhSq8LKKXkuxsnSy2ZHHxYzahRb32+1uRHlyT33ldz6EHJ4MHeewQAgI42rfZnfOWVmt2G1Dzxj2Y+5xzJySeWzDbbW88Hra2t73mwT9++fTNo0KDMPPPMGTduXJ555pnGM83EiRNz6qmn5tlnn81ee+31P+f18MMPv+vBPqWU/z4TJcmoUaMyevToxmduvfXWbL/99jnzzDMzePDg//lbAAAAPc2ll16aU045pV0+ePDgDB48OC+99FJeeuml/+aTJk3KCSeckFprNt5444/12/36lew9tGSVlWqOPq7mtdcm57XtwbzbwT6d+Z3ZWWaZJYsvvvg0+z2Aqc3hPl3EJZdc0q5w/M1vfjNbbbVVZptttiSTC8zXX399TjrppDz//OSTcN58880ccMABufTSSzPjjDNOk7m+2w3H+1lggQU+0Od++7vmRiB9pvtyDj9svcwwwwdb8NK3b98PNS8AAOCje/nll/Pb3/72A3/+G19LrvrN5AXu//Haa8lBh9as/+Wa3Xct6d/fYncAAOC99e/f/10XoncWEydOzFFHHZW2trYkyfTTT59x48ZN0d948KGakXc2s+99p6R3b89TAAB8OIssXDL8yMmH/Fx0cc31NzRr+P8xfnxyx8hmttJKX873vrdeevXqXGt6BgwYkHXWWSerr756lllmmcwwwwz/HZs0aVLuvvvunHPOObn77rv/mz/44IM54ogjMnz48GkyRwAAAICubrbZZstqq62WZZddNksttVTmnnvutLS0ND4zZsyYXHvttTn//PMz6m27JF999dVZZpllssEGG7zn97/2Ws3e+9Xcd38z79MnOezgks+u+d41qZ/+9KftDvZZeumls8MOO2TZZZdNKW/97fPPP5/LLrssP/vZz/7b43399ddz2GGH5eKLL07v3l7LBAAAeq711lsv66233gf+fFdcF7DkEiUXnpsMO7rmppubv3P3PckW29QctH+yysrW6AIAQEeaFvsz/vvfNbsOqXnyyWY+x/8/2GfOOd7/uWDuuefO+uuvn5VXXjmLL754o8/05ptv5rrrrstZZ53137klyc9//vPMP//8+fa3v/2//if4r759++YLX/hC1lxzzSy//PKZaaaZ/jtWa83DDz+c888/PzfccMN/82eeeSZ77713zj333HY9PQAAgJ7s3nvvzemnn97Ill9++ey6665ZdNFF/5s99NBDOeWUU3LXXXf9NzvllFOy5JJLZokllvjY8/jcZ0sWXTQ5YljN3fe8c3RA+s/4pWyz1er5+teXnaLvzC688MIf+pyB/xg+fHiee+65/16vu+661lwC3Yr/R+sCXn311Vx44YWNbMcdd8xmm23WyFpaWrLWWmtl8cUXz/bbb//ff8BGjRqVyy67LNtuu+00me/KK688xb/zkUfb3zwstdTcWXvtVab4bwEAAFPXu224/f3vlXzhCyVHDq9523vaSZLf/j65+96agw+YvCh+athll12y8MILf+DP/2cRDwAA0DH69++fRRddNIsttliWWGKJLLbYYnn22Wez0047dfTU3tOFF16Yxx9/PMnkZ4ovfvGLueyyy6bob1z84+Zu64NmTdZbd4r+BAAAPcwiC5cMO7zkuedqfvmrmqt/k7z22vv/zR13zp1Hnlgpq66SfHaNklVXSWaYoeM2s5lrrrmy5ZZbZp111km/fv3e9TO9evXKCiuskGWXXTbHHXdcrrzyyv+OXXfddRk5cmRWWGGFaTRjAAAAgK7phBNOyEILLdQ4JOfdDBw4MN/4xjfy+c9/Prvsskv+/ve//3fszDPPzPrrr/+um4f9+981Q/aqeezxZj59v2T4sJIVV3jv321tbc1FF13UyFZfffUce+yx6dWrV7vPzznnnNljjz2y6KKL5rDDDvtv/o9//CPXXntt1llnnff97wgAANCdzT333FNlX5GPamqtCxg4sOToYclPf5accVbNpElvjY0enQzdu2bTTWq23qKkd2+H/AAAwLQ2LfZnfOnlmt32qHnqn818zjmSU08qmWuu934WWHrppbP11ltn5ZVXfs/+Wb9+/bLeeutl9dVXz+67754HH3zwv2Nnn3121llnncYhPe9m1llnzXbbbZcvfelLjY2c366UksUWWyzHHXdcLrjggpx11ln/HXvwwQfz29/+NhtssMH7/g4AAEBPcuqpp2bS25pDa6yxRoYPH54+ffo0PrfYYovllFNOyb777pubbropyeSDdU477bScccYZU2Quc8xecvIJyY8uSc4+K6mZKy29tkjptU4mtPbNWeclaSn57sb1v8+fH/ed2YEDB36kfuA///nPxsE+SfKVr3zlQ38PQGfmiOwu4OKLL25sfL3ccstl0003fc/Pzz777Nl///0b2WWXXZZXX311qs1xajv3vNouW2Jxi1sAAKCz6927dxZddNF885vfzAEHHJAf//jH+dOf/vSun11+uZILzyv5wtrtx559Ntlpl5rzL6xp/X/s3Xd0FFUfxvHnbnohDQgQegm9SW9WeG2IvXcEuyCoiB1FsSsiigXBgr1iASyIIE2lg4D03kIJCQkhbe/7x0BgswES2PTv55w52bn3TlmYMzu3zP1ledcPTlbjxo3VoUOHfC9169b1+TkAAAAAOL5u3brps88+0+TJkzVq1Cj169dPZ511lqpVq1bcp3ZMa9eu1UcffZSz/sADDyg0NNSnx1i33mr6DM+0q640CgqiPwUAAAAnr1o1o7vucGn810ZPDTHq0lnKY87THKmp0u9TpCFDrXpeZHXfILfGf2+1a7fv2/iP5dZbb9WXX36pCy+88KgT+BzJz89PgwYNUpMmTTzSv//++8I6RQAAAAAAgDIjPj7+uIF9jhQREaEnn3zSY5tdu3Zp8eLFXmW3bbO6q593YJ+ICGnE8GMH9pGkhQsXKjk5OWfd399fDz30UJ6BfY503nnnqVOnTh5pM2bMOEppAAAAAEBRK+xxAcYYXX2l0ZuvG1Wp4p0/7mPp3vusdu4s2vEQAAAAAAp/fsZdu6z6DfAO7FOtmvTGiKMH9gkICNArr7yid999Vx07dsxX/1lERIReeOEFhYSE5KTt27dPf/zxxzG3u+SSSzR58mT17t1b4eHhxz2OJPXu3Vunn366RxpjpQEAAADgsFmzZmnJkiU565GRkXr00Ue9AvscEhAQoEcffdQjOOuCBQv0999/++yc/PyMet9kdMcdfVW5yudy+feSMUGSpOxsadTbVg8/ZpW8z+barmjfmZ0wYYLHesOGDRUfH18oxwKA4kJwnxLO7XZ7/SD17dv3uA217du3V+vWrXPW9+/ff9QJtEu6efOtZv3lnR4YWPTnAgAAACB/qlWrpvfee09TpkzRBx98oMGDB6tXr16qX7++XK6jV0UjKhg9+YTRY48Y5Z7nOtstjf3A6p57rbZsZbA7AAAAUB7VqFFDdevWPWa9oqRxu90aNmyYMjMzJUmnn3661+B3X3j/Q896Uni4dPGFPj8MAAAAyrmgIKPuZxq9+JxL478xGtDfqHatY2+TlSX9M0d6ebjVJZdb9Rvg1vgfrPbuLfy2/q5dux51wPTR+Pn56frrr/dI8+UgagAAAAAAABxWt25dNW7c2CNt/fr1Huvr1juBfTZv8dy2YkXpjdeMmjY5/oRoGzZs8Fhv1qyZKleunK9zPOOMMzzWN2/enK/tAAAAAACFr6jGBTRvZvT+aKNuXb3zFi2Weve1+utv3nkEAAAAikphz8+4ZYvVXf2tNm3yTI+Lk0a+ZlS16tGPExAQoK5d86g8HEflypV1/vnne6Qdr67SsWNHhYWFFfhYN910k8f60qVLlZqaWuD9AAAAAEBZ9MMPP3isX3755YqOjj7mNjExMbrsssuOuR9fuOnGbvpgTKDanOKdN2OmdEtfq2XLvQP8FMU7s263W5MmTfJI69mzp8+PAwDFrfTMfFZOLV68WImJiTnr1atXV5s2bfK1ba9evTzW//zzT5+eW1Fwu63efIsBLAAAAEBpU6FCBTVv3lyBJxCV0xijc882+mCMUYvm3vn/LnUGu0/6xcpa6gsAAAAASrbPP/9cS5culSSFhYXpgQce8Pkx1qy1+mOqZ9rll0qhocefxAoAAAA4UdFRRpdfavTAfZ7Pncd6J9ZaacFC6eVXrS661Or+B92a9LNVSkrJau8/8qVdSUpKStKBAweK52QAAAAAAADKuOrVq3us7927N+fz8v+s7ulvtXOX5zZxcdJbbxjVq5e/PtHk5GSP9SpVquT7/KpWreqxvm/fvnxvCwAAAAAomU5kXEBEhNFzzxj1u9vIz88zb2+S9MBgq7ffdSsrq2SNgQAAAADKosKcn3H1Gqu7+llt3eq5XY3q0huvGVWtUnjv7OWuq+zYsaNQjtOkSRMFBQXlrLvdbiUkJBTKsQAAAACgNMnIyPAKfHPBBRfka9vc5WbPnq3MzEyfndshFSsaDX/Z6OYbvd/n3b5Duquf1VffeM7TWRTvzM6ZM8ejbunv769zzjnHp8cAgJKA4D4l3KxZszzWO3TocNyo8EeWPdL8+fOVlpbms3MrCr/+ZrVyVXGfBQAAAIDiEFfNaORrRn1vMfLLVXvdv18a9pzVkKFWyfsY7A4AAACgZNqyZYvefffdnPU777xTlStX9vlx3v/A6sjYp+Fh0pVXENgHAAAAxeOqK40G3W/UqaMUEHD0ctlu6e9/pGHPW110mdWzz7v171LPAcPFpUKFCl5pKSkpxXAmAAAAAAAAZV9GRobHenh4uCRp/gKr/gOtkjzj8qh+PWnUSKO4avnvEz20z0PS09PzvW3uslFRUfneFgAAAABQMp3ouABjjK66wmjUSKOqecSN/fhTqf9Aq4SE4h/7AAAAAJRlhTU/46LFVvf0t9q9x3ObmjWlka8ZxcYW7jt7uesqhTV+2Rjj1X/GWGkAAAAA8J7Dv3bt2qpWrVq+to2Li1PNmjVz1vfv36/58+f7/Bwlyc/PqO8tLr3yolHuIY1ZWdKIkVaPD7FKSXH6rIrindkJEyZ4rHft2pXxlgDKJIL7lHArV670WG/RokW+t61cubLHD39mZqbWrVvns3MrbAcOWL0zmgErAAAAQHnm7290841Go94wqh7nnT/lD+nmW6zmL6DuAAAAAKDkee6553TgwAFJTh/PZZdd5vNjrFptNfVPz7QrrzCKqEBwHwAAABSP0BDpol5GL7/g0oTvjYY+afS/HlJY2NG3SU+XJv4s3XG31Y29rb76xio5ufja/nfu3OmVFhkZWQxnAgAAAAAAULZZa7V8+XKPtMaNG2vGTKsHHrQ64h15SVKzps7EaZUqFqw/ND4+3mN9+fLl+Q4yvWzZMo/1pk2bFujYAAAAAICS52THBTRrajT2PaNTu3rnLV4i9e5rNftv3nkEAAAACkthzM84a7bVfYOsUlI9y8c3kN4cYVS5cuG/r5e7rlJY45ezsrK0d+/eIjkWAAAAAJQmJ1PflKSWLVt6rK9ateqkz+lYOrQ3en+0Ucs8TnPqn1Kf26xWrrKF/s5samqqpk2b5pHWs2dPn+0fAEoSgvuUcOvXr/dYr1u3boG2z10+9/4KS0pKilatWqUFCxbov//+07Zt25SdnV2gfXz0cZoSvH/zPVhrtWXLFv37779atGiR1q1bp+Tk5JM4cwAAAAAlUbOmRu+/Z9TzfO+8hJ3SvfdZvfOeW1lZDHgHAAAAUDJ8//33mjt3riTJ399fDz/8sIzx/QD+sR941oPCw6UrL/f5YQAAAIACOTSmZ+3apaoYvVg3XrdBn3y4T8OeNjrrTCko6OjbrlsvjRhpdfFlVs8+79bqNUXf9r9w4UKP9apVqyogIKDIzwMAAAAAAKCs+/HHHz1eGq9du7Y2bWmqRx+3ysj0LNu+nfTaK0YREQXvd23RooWqVq2as56QkKDffvvtuNslJSXp+++/z1k3xuiCCy4o8PEBAAAAoKwp7XN9+GJcQEQFo2efMep/j5G/v2deUrI0aLDVW+/wziMAAABQGHw9P+OPP63Tw49apad7lmvdShr5mlFMTOEH9pG86yo1a9YslOMsXrzYY17IwMBAValSpVCOBQAAAAClSWmMB1C5stHrw42uu8Y7b8tW6Y67rMaOXeCR7ut3ZidPnqz0IyrV0dHR6tKli8/2DwAlif/xi6C4HDhwQDt27PBIi42NLdA+cjeUbtiw4aTP63huvPFGrV69Wm632yM9NDRULVu21BlnnKHzzz9fgYGBR91HQoJb776X5pHWqKG0fOnh9YkTJ+qrr77Kc4BP7dq11a5dO1122WWqV6/eyX0hAAAAACVCaKjRww8ade5o9cLLVvv2Hc6zVhr3sbRwodWQx6WqVQo+MCYjI0NbtmxRUlKS/P39FRkZqcqVKys4ONiH3wIAAABAebBr1y698cYbOevXX399ofRX/Pef1fQZnmlXX2kUHl40LwsAAAAAecnPmJ7XX71UW7bV0+Tfrf7+Rzri3dAcGZnSxJ+liT9btWtrdd01Ru3aqlCCZub2008/eawziBgAAAAAAMD3JkyYoJdeeiln3eVyqUOn+zXsOe+yZ5wmPfGYUWDgibUN+fn56c4779SQIUNy0p5//nlVqFBBnTt3znObhIQEPfzww9q7d29O2mWXXab4+PgTOgcAAAAAKCvKwlwfvhoXYIzRlZdLzZtJQ56y2rbdM/+Tz6TFS6yefEKqEsv4XgAAAMAXCmN+xvHfb5BfrjmNu3aRhg4xCgoqmmf51NRU/fHHHx5phTWGOXedqG3btgoKCiqUYwEAAABAabJx40aP9dIQD0CS/P2N7rzdqFVLq2eeszqyGy8jU5owsXDfmZ0wYYLH+rnnnit/f8JfACibuLuVYElJSbLW5qz7+/srJiamQPuoXLmyx3piYqJPzu1YVq5cmWf6/v379ddff+mvv/7S6NGjdd9996l79+55lh0+IlVpR8T2MUa66ELjEdxn27ZtRz2HDRs2aMOGDfr222915plnavDgwYqMjDyh7wMAAACgZDnjdKNmTaVnnrOaN98zb8m/0s19rB4eLJ1+av4HyLz88svaunWrR8RvyXmZu3HjxurcubMuu+wyRUdH++IrAAAAACjjXnrpJe07GJG0Zs2a6t27d6Ec5533rMd6RIR0xWWFcigAAAAg3woypufRhwYrKytCE3+WfppgtWVr3tvNnSfNnWfVupXUp7d0SuvCe0l21qxZWrBggUdaz549C+14AAAAAAAAZdXGjRu1ffvhWY2zsrK0b98+rV27Vn/++afWrVuXkxcQEKCu3Qbru+/bee2n5/nSoPuM/P1Prk3onHPO0erVqzVu3DhJzrtuAwcOVLt27dS1a1dVr15d/v7+2rNnjxYtWqTJkycr7YgX3M477zwNHDjwpM4BAAAAAMqC0j7XR2GMC2jaxGjMaOm5F6ymz/DMW/KvdEtfq8cekTp3IsAPAAAAcLIKY35GyXN+xvPOkQYPOvn+qYIYO3as9u/fn7MeFRWlbt26+fw4q1at0i+//OKRxlhpAAAAAHDknr+/oMF9iiMewJG6dDYaO1oa8pTV0mVOmjt7lmQXepTzZT1w06ZNWrx4caHtHwBKGoL7lGBHNrBKUnBwsIwpWCNvcHCwx/qRLxQUp927d+vRRx/VsmXL1K9fP4+8f/+1+uGnDI+0nudJNWsU/DjWWk2ZMkXLli3T8OHDVbdu3ZM5bQAAAAAlROXKRsNflr74SnpntFVW1uG8lBTp0cetLr3Y6u47jYKCjl+POvIF8SNlZ2dr6dKlWrp0qcaNG6frrrtOffr0kZ+fn6++CgAAAIAyZvLkyZo2bVrO+kMPPaSgoCCfH2f+Aqs5cz3Trr3aKCyMl34BAABQ8uUe03PDdXV13TXS/AXSjz9ZTZsuj7b/QxYukvoNsGrbxqpPb6OWLXz7/JuUlKTnn3/eI+30009Xs2bNfHocAAAAAACA8uCbb77RF198ccwyxhh16tRJkdF3aPKUeK/8q6+U7r7TFPiduqO5++671ahRI73xxhs5gYfmzp2ruXPnHnWbBg0aqHfv3urevbtPzgEAAAAAyoOSOtdHYY4LiKhg9OzT0tffSm++5fnOY1KyNOghq2uvsbqtT9FOEA4AAACUNb6YnzEoyHN+RtnD8zNedYXTP+VyFd1z++LFi/X55597pPXu3dtrHsmTlZGRoaefflrZ2dk5aY0aNdJZZ53l0+MAAAAAQGmVu84ZEhJSoO1LQjyAqlWM3hghvf2u1edfJsud+aJHvp//aVq/sal89drsxIkTPdYbNWqkBg0a+GbnAFACEdynBMv9wxsYGFjgfeSeLC73w4GvBAUFqX379urcubMaNmyoGjVqqEKFCsrIyFBiYqKWLFmi3377TbNmzfKIdv/JJ58oMjJSN954oyTJ7bYa/rr12HdYmHT7rUZr1zrrtWrVUteuXXXKKaeoXr16io6OVlBQkPbt26eNGzfqn3/+0fjx47V79+6cfWzfvl0DBw7UmDFjVLFixUL5NwAAAABQtFwuo2uuklq3koYMtdq61TP/2/HS4iVWQ4dItWqd/KCZ9PR0jR07VgsXLtTLL7+s0NDQk94nAAAAgLIlKSlJr7zySs76BRdcoLZt2/r8ONZavf2uZ39KxYrS5Zf6/FAAAABAvvliTE+7tlK7tkaJiVbffS99O95q717vY82bL82bb9WhvdXttxo1anjy/QBut1tPPvmkEhISctLCw8N13333nfS+AQAAAAAAkLczzzxL6RlX5BnY57a+RjdcJ58F9jmkR48e6tChg0aMGKEJEyYcs2z9+vV13XXX6bTTTvPpOQAAAABAaVTa5/ooinEBxhhdcZnUvJn0xJNW27Z75n/6mbRkidWTT0hVYgnwAwAAAJyIk52fMS3N6pffcm/j7PP2W42uv9b3/VPHsmfPHj3++OMeAXeaNm2qyy+/3OfHevXVV7Vy5cqcdT8/Pz388MNyuVw+PxYAAAAAlEYnW+fMHQ+gOIL7SFJAgNHdd1rNnfOUVvyXcEROuOQ3UM+9YLVwodX9A42Cg0+8Dmyt1aRJkzzSevbsecL7A4DSgOA+JVhGRobHekBAQIH3kfvHPz09/aTOKS/XXHONWrVqpcjISK88f39/hYaGqnr16jr33HO1cOFCPf7449q5c2dOmbfeekudO3dWfHy8Jv4s/bfCcx+9bzKKjjaqVq2a3nzzzaNOghcdHa3o6Gi1atVKN954o1577TV99913Ofnbt2/XSy+9pOeff943XxwAAABAidCksdHYd6WXXrH6/Q/PvNVrpD63Wd03QDrvXM+GQ2OMmjdvrq5du6pp06aqU6eOIiIi5HK5lJSUpBUrVmjmzJmaOHGiR11q/vz5evzxx/Xiiy/Kz8+vCL4hAAAAgNJi+PDhSkxMlOT0W/Tr169QjjN9hrRsuWda7xtPbsAEAAAAcKIKY0xPdLTRLTdL110jTfpF+uhjq4QE733/M0eaM9fqvHOsbutrVKnSiT8Tjxw5UrNnz/ZIGzx4sKpUqXLC+wQAAAAAAMCxTZnyu6TfJdNKfgGPyrhqyBjpvgFGl1zk+/7PrKwsjRs3Tp9++qn27dt33PJr1qzRU089pVGjRmnw4MHq1q2bz88JAAAAAEq6sjLXR1GOC2jS2GjsaOn5l6ym/emZt+RfqXdfq0cfkrp2YewvAAAAUFAnMz/j7t1Wgx+xWr069+TM6Rp0v9FFvYr2GT0jI0ODBw/Wjh07ctJCQ0P11FNP+Xw+ky+//FLjx4/3SLv99tvVuHFjnx4HAAAAAEqzk40JUBTxAPJr5MiRWvGfZ9+YK+BBGeP0jU36RVq52uqZp6SaNU6sPjxv3jxt3749Zz0gIEDnnHPOiZ80AJQChMkuwXL/EGdmZhZ4H7kfBnJH7vOF0047Lc/APnlp3bq1Ro0apaioqJw0a63efvtt7d1r9dbb1qN8rVrSZZc4n+Pi4o462Ce3oKAgDR48WFdffbVH+tSpU7V8+fKjbAUAAACgtAoPN3ryCaPBDxjlrvakHZCGPW/19LNu7d/v1Dk6duyoL774QqNHj9bNN9+sDh06KDY2VsHBwQoMDFTlypXVrVs3DR48WF999ZVatmzpsc+ZM2fqm2++KaqvBwAAAKAUmDVrln7++eec9QEDBuS7/6QgsrKs3h3j2Z9SPU66oKfPDwUAAADkS2GO6QkKMrr4QqPPPza6b4BRpUre+7RWmvizdM31Vh98ZJWebr0LHccXX3yhzz77zCPt+uuv1//+978C7wsAAAAAAACOgQMH6q+//spZpk6dqh9++EGvvPKKzj+/l1yuIwZ82kXKzugjo+V64rHCCeyTmpqqu+66S++8805OYJ/Y2Fj169dP48aN0++//67p06fr+++/1zPPPKN27drlbLtz50498MAD+uqrr3x+XgAAAABQ0pWFuT6KY1xAhQpGzzxlNKC/kb+/Z15ysjT4EavXRrpPaJwDAAAAUJ6d6PyMa9dZ3X6X1X8rJMlzfsaGDQOLPLCP2+3Wk08+qSVLluSk+fn56amnnlLNmjV9eqypU6fqtdde80jr0aOHbrjhBp8eBwAAAABKu5ONCZA7HkDu/RWVvPrGGje5Ti6/Hh5pa9ZIfW+3mjb9xPqrJkyY4LHetWvXQplrBwBKEoL7lGAhISEe67l/mPMjd2S+3PssDjVr1tQ999zjkTZ79my99nqSkpI9y957j0sBASfe2H3PPfeoRo0aHmlHTqwHAAAAoOwwxqjXBUaj3zaqW8c7/5dfpVtus1q5yqply5aqVatWvvYbGxurkSNHqkWLFh7p77//vg4cOOCDMwcAAABQ2qWmpurFF1/MWe/UqZPOOeecQjnWTxOk9es9027tY+TvX7QvDwAAAAAno6BjegIDjS692OiLT4zu7WdUMca7TNoB6b2xVtfcYPXrZCtr8zeY+JdffvF6WbVnz566++6787U9AAAAAAAA8ic4OFixsbFq3ryLNm19WMZ/nGTijyixT6FBD6lThxSfH9taq4ceekiLFy/OSevatas+++wzXXfddYqPj1dYWJgCAgJUpUoV9ejRQ2+88YYefPBBGXO4L/bVV1/V3LlzfX5+AAAAAFDWlKS5PopzXIAxRpdfavT2G0bVqnnnf/2N1Oc2qxUrCfADAAAA5NeJzM84d57VXfdYbd9xKMVzfsaaNUJ9dHb599JLL2nKlCk568YYPfzwwzr11FN9epx58+bpiSeekNvtzknr2LGjhgwZ4tEPBgAAAAA4+ZgAJSEewNH6xt4fe4+eGmIUmqsKnJoqPfq41ZtvuZWVlf8+q/3792vq1KlexwGAso7gPiVYaK5fuQMHDuR70okjtzlSSQjuI0nnn3++oqOjc9bdbrd+/W2OR5mz/xeoTh1PrtHX399fV155pUfa33//fVL7BAAAAFCy1avrBPi5sJd33ubN0u13WX39bf4n9ZOkoKAgPfHEE/Lz88tJS0xMpH4BAAAAQJI0atQobd++XZIzIdWDDz5YKMfZt8/qvbGedZn4BtJZZxbK4QAAAIBCc6JjeoKCjK64zOiLT41uv9Uor6FQCQnS0Ges7u5vtWrVsfsCZsyYoaFDh3r0GZxxxhl65JFHeFkVAAAAAACgEOzcaXX3vVbL/5OMq4b8AkdIqpKTn5S0Ux9//LHPjztx4kTNmXP43bU6depo2LBhCgsLO+Z2l156qXr37p2zbq3VK6+84vPzAwAAAICypqTM9VFSxgU0bmw09l2j00/zzlu/QbrtTqtxn1hlZxPkBwAAADiegs7POGGS1f0PWqWkemzlUaao52ccNWqUvvvuO4+0/v3764ILLvDpcZYvX65BgwZ5TEbdokULPf/88woICPDpsQAAAACgLMhd50xLSyvQ9rnjAeTeX2E7Xt9Y9zON3nvbqG4d720/+0K69z6rXbvz1181ZcoUj3+fmJgYde7c+WS/AgCUeAT3KcEiIyM9BoNkZWVpz549BdrHzp07PdZjYmJ8cm4ny+VyqU2bNp6JdmPOx7Awo4cfPPbLEfnVvn17j/VNmzYVOEgSAAAAgNIlONjowftdeuoJo9zvXWdmSq+9bvXIY1bJyfmvG9SsWVOnnnqqRxrBfQAAAABs3bpV3377bc76rbfeqri4uEI51gcfWe1N8kzrd7eRy8Wk4wAAACh9TmZMT3Cw0Q3XGX3+sVGvnlJe8+0sXiL1ud3qldfcefYHzJs3T48++qiys7Nz0jp06KCnn35afn5+BfsyAAAAAAAAOK7Nm63u6me1fv3hNGOiFB7Rx6PcxIkTfX7sL774wmP9lltuUXBwcL62veGGG1ShQoWc9XXr1mnRokU+PT8AAAAAKIuKe66PkjYuoEIFo2eeMhp4r1FgoGdedrb0zmire+612rKV+VAAAACAY8nv/IxZWVavjXTruResjqgWSJKiIotvfsaPPvpIH330kUdanz59dM011/j0OGvXrtWAAQO0f//+nLT4+Hi9+uqrRR7MCAAAAABKi+joaI/1hISEAm2fOx5A7v0Vpvz2jdWqZfTuW0bn/M97H4sWS7f0tVqw8Pj9VRMmTPBYP+ecc+Tv73/iXwAASgmC+5RgwcHBqlKlikfajh07CrSP7du3e6zXrl37pM/LV2JjYz3WrU3M+XxvvxDFxvrm8sx9nOzsbCUnJ/tk3wAAAABKtu5nGY0dbdSksXfe9JnSzX2tFi3O/2D3du3aeaxv3LjxKCUBAAAAlBcpKSkeLxqPHDlSnTp1Ou4yZswYj/1MnDjRI79Hjx4e+Rs3WX39rUeSTjtVanMKgX0AAABQOvliTE/FikaDB7k09l2jNqd457vd0nfjpWuut/rhJ6vsbOfZ/d9//9WgQYOUnp6eU7ZFixZ64YUXFBAQUODvAgAAAAAAgGNbvcYJ7LPN81U3xcZKI0ec4TEB286dO7Vt2zafHTspKUmrVq3KWXe5XOrSpUu+tw8JCVGbNm080hYuXOir0wMAAACAMqs45/ooqeMCjDG67BKjMe8aNWzonb/kX+nmPlY/TbRFGggJAAAAKE3yMz/jnj1WA+63+vob7+3POE2Kb+BZvqjmZ/z66681atQoj7SrrrpKt956q0+Ps3nzZvXv319JSUk5abVq1dKIESNUoUIFnx4LAAAAAMqSWrVqeayXlngABe0bCwkxeuwRo/sHGuXO3pMoDbjP6pPPjt5ftXXrVq9xlD179jzp7wEApQHBfUq4OnXqeKyvW7euQNuvX7/eY70kBffxjqLnRPRr3Ei6+srgQjyOlJWV5bP9AwAAACjZqscZjRppdM1V3nkJCVL/AVYffWzldh9/sHvuAT6JiYlHKQkAAAAAvvXGKKvs7MPrAQHS3XcQ2AcAAAClly/H9MTHG4141ejZp42qVfPOT0qWXnzZ6rY7rSb9vEr33Xef9u/fn5PfsGFDDR8+XCEhISd0fAAAAAAAABzdv0ut7rnXak+uIZc1a0qjRho1aRKhiIgIj7zdu3f77Pjbtm3zeME8IiJC4eHhBdpHXFycx/rOnTt9cm4AAAAAUJYV11wfq1aV/HEBdesYvfOm0Y3XS65cM/+kpUnPv2j1yGNWiYkE+AEAAADycqz5GZctt+pzm9XCRd7bXXu1NPRJo40b13ukF8X8jBMnTtQrr7zikdarVy8NGDDAp8fZsWOH7rnnHu3atSsnrWrVqho5cqRiYmJ8eiwAAAAAKGtKYzyAE+0bM8bokouceTpzTbGpbLf01jtOf9W+fd79VRMmTPAYl9m4cWM1aNDg5L8MAJQCBPcp4eLj4z3WlyxZku9td+3apW3btuWs+/v7q27duj47t5O1a1fulyyi5OeSBj/gkp+f7yajy/0yhzFGkZGRPts/AAAAgJIvIMDo7jtdeukFo6hc1YFst/Tue1b3P2i1Z8+xB7vnfqGAwKEAAAAAisKMWVazZnumXXG5VL06wX0AAABQevl6TI8xRqedavTxB0Z9bzEKCvIu899/G/TUk/2VnJyck1anTh2NGDGiwBO6AgAAAAAA4Pj+mWM14H6rlBTP9Ibx0qjXjapWybvPM68JoE9UZmamx7qfn1+B95H7fLKzs0/qnAAAAACgPCiOuT42bNig/v1Lx7iAgACj2/q69MYIo1wxZSVJ02dKN95iNW06AX4AAACA3I42P+NPE6zu7m+1c5dn+cAA6ZHBRnfd4dKePbuLfH7GKVOmaNiwYR4TH3fv3l0PP/ywjPHdO4J79uxRv379tH379py0ihUrauTIkaqSe6ZmAAAAAICXk4kHIEmLFy/2WG/YsOFJn9Ox+KJvrEljo7HvGnXs4J03fabU93arVasP12ettZo0aZJHuZ49e57YFwCAUsh3o9xRKLp27apx48blrM+ZM0fW2nw1xP79998e623btlVoaKjPz/FEzZrlGdLemFhde43UsKFvJ6JbtMjzOJUqVfLpCx4AAAAASo/OHY0+GCMNHWY1f4Fn3py50s19rJ54TGrXNu96Se4XCqKjowvrVAEAAACUEjVq1NDrr79e4O0mTZrkMVihY8eOuu6663LWD/VlpKdbjRjp+VJudLR00/UE9gEAAEDpVlhjeoKCjG6+UTr3bOmNUVZT/3TSrd2m7Ix7JSXmlI2MjNPw4SNo7wcAAAAAACgEf0y1euoZq6wsz/RWLaUXnjUKD3f6PFNTUz1eLJekmJgYn51H7omjk5KSlJmZqYCAgHzvY+fOnR7rtCcBAAAAwPEV9Vwf27ZtU79+/ZSYeHhcQFxcnF5//fUSXY9r2cLog/ekkW9a/TjBMy8xUXr0case3a0G9jeKjGT8MAAAACB5z8/4zz9z9NIr2fr+R+9n5thY6dmhRo0bO3lFPT/jrFmzNGTIEGVnZ+ekde3aVU899ZRcLpfPjpOcnKz+/ftr48aNOWkRERF6/fXXVbNmTZ8dBwAAAADKsjZt2igkJERpaWmSpI0bN2rbtm2qVq3acbfdunWrNm3alLMeGhqqNm3aFNq5+rJvLDLS6KXnpY8+lsa8b3VEbFpt2SrdfpfV/QOlnucZLViwQFu3bs3JDwgI0Nlnn33S3wcASgsinJRwLVu2VFRUlPbu3StJ2rJli+bPn6+2bdsed9sff/zRY/3UU08tjFM8IT//PE9JSVs80mrUaKebb/T9QJLc/w7t2rXz+TEAAAAAlB6VKhkNf1ka94k09gMrt/tw3p5EaeADVjfdYHXzjUb+/p51lNwvFMTGxhbFKQMAAAAowUJDQ9WhQ4cCb5e7flGxYsU89/Pxp1bbtnmm3XWHUVgYL+cCAACgdCvsMT1Vqxo9M9Rozlyrl1/dqQ3r+ktKOKJEZaWkva7Bj1TWvf2s2rbhGRsAAAAAAMBXfppg9eIrnmM0JalzJ+npJ42Cgw+3xcyaNUv2iDfBo6OjValSJZ+dS+XKleXn55czYVpWVpYWLlyo9u3b52t7t9ut+fPne6RVr17dZ+cHAAAAAGVVUc71sWvXLvXr108JCYfHBVSuXFlvvPFGqXgHMDTUaPAgoy6drV542ergFDM5Jv8uzZ9vNeh+6dRujG8AAAAAcs/PuHXrFn03fr5cfp7zM57SWho6xCg6+vBzdFHOzzh//nw9/PDDyszMzElr27atnn32WZ8GP01NTdWAAQO0evXqnLSwsDCNGDFC9evX99lxAAAAAKCsCwoKUocOHTRt2rSctJ9++km33nrrcbf96aefPNY7d+6sgIAAn5+jVDh9Yy6X0c03Sk2bSE89bZWUfDgvI0N67gWrJUusDuyf4LFdt27dFBkZeULHBIDSyHfhulEoXC6Xevbs6ZH23nvvebywkJc5c+Zo4cKFOeuhoaHq0aNHYZxige3bt1/PPz/cM9HU1xOP11BQkG8HkUyaNMnr5YnTTjvNp8cAAAAAUPr4+RndfKPRiFeNcr//ba30wUfSvfdZJSQcrnvt27dPU6dO9Sib3xe7AQAAAOBEbNli9cmnnmktW0jnnl085wMAAAD4SlGO6WkYnyyXHSDZLUekRskvcISMK05r1zl9AvcNcuu/FccekwUAAAAAAIDj+/Rzq+df8g7s06O79NwznoF9Dhw4oNGjR3uU69q1q1wu3732GBISoubNm3ukffLJJ/neftKkSR4vwEuMHwUAAACA4ynKcQFJSUnq37+/Nm/enJMWHR2t119/XXFxcYVyzMJyajejj8YadevqnbcnUXr4Mauhz7iVnMz4BgAAAJRvec3P6M4a6zE/41VXSMNf9gzsU5TzMy5fvlwPPPCA0tPTc9KaN2+ul156SUFBQT47Tnp6uu68804tXbo0Jy0oKEivvPKKmjRp4rPjAAAAAEB5ceGFF3qsf/3110pMTDzmNnv27NE333zjkdarVy+fn5tU+H1jHdobjRlt1DSPKuWPE9L0669/eKTlrp8DQFlHcJ9S4IYbblBoaGjO+oIFCzRu3Lijlk9ISNCzzz7rkXbVVVcpKirquMfq1KmTxzJv3rxjln/11Ve1c+fO4+73kL179+rGmwbpwIHVHundTu2r5s2OHtjnt99+0x9//HHcoEZH+vXXX/Xcc895pDVs2FBnnHFGvvcBAAAAoGw7pbXR++8ZderonbdosdS7r9Ws2U495PXXX9e+ffty8gMCAtS5c+eiOlUAAAAARaygfSa+Zq3VK69ZZWQeTvNzSfcPNDLm6H0qAAAAQFEq6jE9d955p8dzeu6JX3NLTU3VwIEDtW7d2pw0/4AK8gt8TcZVx6PsP3OkvrdbPfI4QX4AAAAAAAAKauTIkVq6dKneGe3WqLe921Yuvkh64lEjf//DfZ1JSUkaNGiQNm7cmJPm5+enq6+++rjHu/jiiz3aiX766adjlj/33HM91v/66y+NHTv2uMdZunSpXnnlFY+0du3aKTY29rjbAgAAAEBZUFrGBaxde3hcQIUKFTRixAjVrVs33+dcksTEGD33jNFjjxiFh3vn/zpZuuFmqxkzGdsAAACA8svttgoMvl7S4fkZZRfIZo9TUJD0xGNG/e52efRNFeX8jGvXrtWAAQO0f//+nLSGDRtq+PDhHnNKnqysrCzde++9+vvvv3PSAgIC9MILL6h169Y+Ow4AAAAAlCddu3ZV8+bNc9aTkpI0bNgwZWVl5Vk+MzNTw4YNU1JSUk5a69at1alTp+Meq6T2jVWtYvTm60aXXeKZbt1T5XYfrutWrFgxX98TAMoS/+I+ARxfVFSUbrrpJr311ls5aaNGjdL27dvVu3dvVa5cWZLkdrs1ffp0DR8+XNu3b88pW7lyZV177bWFcm5ffvmlxo8fr86dO+vMM89Uy5Yt84zOt2PHDv3222/6aNxnSk7a7ZEXGnaanhl6xjGPs379eo0ZM0Y1atRQ9+7d1a1bNzVo0EAhISEe5TIzM7Vo0SJ98cUXmj59ukdeUFCQHnzwQSa8AwAAAMqYO++8UwsWLMhZ79Onj2699dajlv/oo4/UoUMHNW7cWJIUHWX04nPS519K74y2ys4+XDYpWRr0UKYa1h+l5ct+9NjPJZdcokqVKvn2ywAAAAA4rkWLFik9Pd0rfdWqVR7rGRkZ+ueff/LcR+XKlUv8C7sTJjmTix/p8suk+vXo5wAAAEDJUdLH9AwaNEjLli3zSLul9zUKDUvSt9/N0eYt3ttMneosjRtJZ50pxTeQjDFq3LixIiIifH6OAAAAAAAAZcE///yjTz75RDJN5fLrLuNqK5l6MsZfN14v3drHyBgja602bNigKVOm6Msvv9TevXs99nP11VerQYMGPj+/Xr166bPPPvMIJPTuu+9q2bJluvnmm9WsWTOP9qmEhASNHz9eH3/8sTIyMnLSXS6X7rjjDp+fHwAAAACUVKVxXMA111yjvXv3HnUc8dGUpHEBxhide7bUro304itWs2Z75u/eIz30qNXZPazu7WcUGcn4YgAAAJQfu3dbPf2s1dx5kXL53yh31ts5ee6st9WpXYJOadVbUvHMz7hr1y7de++9HpM6h4SE6Prrr9fy5csLvL8OHTocNe/ZZ5/VH3/84ZF20UUXyeVyFbhOVK9ePeZQAQAAAICD7rnnHt11111yu92SpBkzZqh///7q379/zhyWkvTff/9pxIgRHnNh+vn56Z577imU8yrKvrGAAKOB9xo1b271wktWBw5INnuCR5mIyLOVnu4nfyJdAChHuOWVEjfccIMWL16smTNn5qR9++23+v7771W1alWFhYVp27Zt2rdvn8d2QUFBeuaZZ1ShQoVCO7eMjAxNmzZN06ZNkySFhYWpUqVKCgsLU1ZWlhITE7Vz5848tzWuVnrttacUHJy/gSKbN2/Whx9+qA8//FAul0uxsbEKDw9XUFCQUlJStH379jwn9PP399eTTz7pEfEQAAAAQOFat27dUesCuS1evFibN2/2Sg8KClKrVq18el6zZ8/WqFGj1KJFC/Xo0UPt2rVT7dq1de3V/mrZQhoy1GrHDsnaFFn3LLmzPtHyZZ6ThNeoUUN9+vTx6XkBAAAAyJ8hQ4Z4DKI/mj179qh///555p1//vl64oknfH1qPrMjwWrkm9YjrVIl6ZabefEWAAAAJVNJHdMzf/58r7R33303X9su+9dZDnn55TfVrVtbX50aAAAAAABAmZGVZbV9x8EVu0zurEMvjgcoIqKyZvwZrr9nB2j//v3asWOH9u/fn+d+zj//fN19992Fco7+/v564YUXdPvttys5OTknfcaMGZoxY4YiIiJUpUoVBQQEaM+ePUftkx44cCDvpwEAAAAol8riuIDc3nzzTbVtW7LGBVSqZPTCs9LPv0ojXrdKSfXM/3Wy9Pc/VnfeLp1/nuRyMdYYAAAAZducuVZDh1klJjrrxu96GfcSWffh+Rl///1bTZ1afPMzbtiwwWuulbS0tBN+n/Gvv/46al5edaKvv/5aX3/9dYGP89hjj+mCCy4o8HYAAAAAUBa1bt1ad955p958882ctPnz5+vmm29W5cqVVbFiRe3atUu7du3y2vbuu+8uU31j/+tu1KC+NPjhrdq4boFH3sbN56v3rVZDHpOaNaWfCkD5QHCfUsLlcunZZ5/VM888o99++y0nPTs7W1u2bMlzm8jISD377LM+nwj7eFJTU5WamnqcUi4Zv2t0++13qGWLgBM6jtvtztfkfbVq1dLQoUM9IhoCAAAAKHzjxo3TxIkT81X2ySefzDO9atWqGj9+vO9O6ghLlizRkiVLJEmBgYGKjY1VWFiYwoNd2m2SdODAdklur+3Cwyvq1VdfVWRkZKGcFwAAAIDyzVqrF16yyt3V8uD9RmFhDGQAAABAyVdWx/Q8+oTVmWe6de7ZRm1OkQIDeT4HAAAAAAA4cMDq8Setcs2HdlCmkpO36ohYOnkKCwvTXXfdpUsvvVTGFF6bS926dfX222/riSee0OrVqz3ykpOTPYL+5BYaGqr77ruPCc0AAAAAQGV3XEBJZYzReedI7dpIL75iNTvXvN5JydLzL1n98JN0/0CpUUPGMwAAAKDsycqyGvO+1cefStYeTjfGJf+gZ1Sr+rNas7pkz88IAAAAAChdbrjhBrlcLo0aNUrZ2dk56Tt37vQK6ipJfn5+6tevn66++uqiPM0iUbeOUfczftb7646slDeWcdXX1q3SXf2s+t4iXXeN5HLRVwWgbCO4TykSFBSkp59+WmeeeaY++OADrVy5Ms9yISEhOv/889WnTx/FxMQU6jk99NBDmjdvnhYvXqwdO3bkY4uKMn7d5fK7XK1a1dAN1+Xvh7ZHjx7KysrS/PnztXLlSqWnpx+zvJ+fn1q0aKFLL71UZ511lvz9udQBAAAAHF1GRoY2b9583HLG1VlpmY9qzPsxun+gVUQEjYcAAAAAfOunCdI/czzTzjtH6tKZ+gcAAABKnvI0piczU5r8uzT5d6uQYKltW6v27YxaNpfq1pX8/XlmBwAAAAAA5UtKitXgR6wWLZb8Ap6Sdc+Qdc+RdS+TlHrMbY0xql+/vs477zydf/75io6OLpJzrlevnt5//31NmjRJ3377rf77779jlo+JiVHPnj11xRVXKDY2tkjOEQAAAABKkvI0LqCkq1zZ6MXnpJ9/kUaMtErJVfVetlzqe7vVxRdZ3drHKKIC4xgAAABQNmzfbvXUM1ZL/vXOq1RJGvJYsE5p/bSmTCk58zMCAAAAAMqG6667Tu3bt9c777yj2bNny+12e5VxuVzq3Lmz7rjjDsXHxxfDWRaN336b5LHu8js/53N2tvTOaKu586THH5EqVaKfCkDZZaw9Mv74yUtMTPTl7nAMmzZt0tKlS7Vz505lZmaqQoUKqlOnjlq2bKmgoKAiP5+kpCStW7dO27dv1969e5WWliY/Pz/tTwvXp59FKtvdUMZVXZIUHi598J5R1areP7LGGEVFRUmS9u7dq9yXaHZ2tjZu3KgtW7YoISFBqampyszMVGhoqCpUqKC4uDg1adJEwcHBhf6dgZNxvGsdKCu41lFecK2jvCjItT506FBNnDjxpI5XtWpVjR8//phl7rzzTi1YsCBnvU+fPrr11luPWv7vv//W1KlTtWjRIm3YsMEjEnpejAmVTCe5/C+TcZ2Sk16pkvTwg0YdO9B4WBZxX0d5wbWO8oJrHaVNUU1adCz09xSP9Rus+t5udeDA4bRKlaRx7xtV4AXbMovfKQAoPNxjgaJVVsb0HDhgNfFn6dvvrNZvyN82IcFSfLxUp45Up7ZRXJxUqaLzPB8aIgUGSn5+zn2prOAeCwCFg/srABSeor7H0t8DlB08o+UtMdHqvkFWq1Z7pgcHS8OGWlWtslmbN2/W9u3blZqaqqysLIWFhSksLEzVqlVT48aNFRYWVjwnf4SkpCQtX75c27dvV0pKirKyshQeHq6oqCg1bNhQtWrVKu5TRDnFvQdAUeO+A6A4cO8pfcrKuICyYOdOq9dGWk37M+/8qEjpzjuMzjtHcrnKzlgFX+DeA6Ag6O/xDe69AE7Gn9Otnn3BKiXFO69LJ+mRh4yiojyfeUva/IyFiXssABQu7rMAULi4z6K02bt3rxYtWqQtW7bowIEDCg4OVo0aNdSyZcuca7m82LbNCcT771LvvMgIp77etQt9VMWN+yzg8HV/D8F9UKhSU61uudVqy1bP9OeHGXXrmvePKzd8lBdc6ygvuNZRXnCto7woa9f6gQMHtG7dOm3btk27du1SWlqa3G63KlSooAoVKqhu3bqqWrWehr/u0m+T897HpRdLd91hFBxMA2JZUtaudeBouNZRXnCto7Th5Z/yKT3d6rY7rdas9Ux/6Xmjzp2ob5Rl/E4BQOHhHgvgZFhrNW++NP57qxmzpKysk9ufy+UE+QkMlPz9JLdbynZL2dnO4nZL1kr+/k6+n5/z2c9fCg11Jt6JjHSCBsXFGcVVk2rXlmpUL56JeLjHAkDh4P4KAIWH4D4AThTPaN6277Aa+IDVpk2e6eHh0ssvGDVvRv8mcLK49wAoatx3ABQH7j3Ayfv7H6vhr1tt3px3fvNm0n0DjBrGU1c/hHsPgIKgv8c3uPcCOBH791u9+ZbV9z965/n7S3fcZnTVFc49pjzjHgsAhYv7LAAULu6zQOmWlWX1wUdWH33svB+b2+WXSnfebhQUVL7r7sWJ+yzg8HV/j79P9wYcwVqrF172Duxz1ZU6amAfAAAAAChKwcHBatKkiZo0aXLMckMek7p2tnp5uFVKimfet+OlOfOsHn9EatqEug4AAACAEzPyTe/APhdfKAL7AAAAAMXEGKN2baV2bY327rWaPEX65Ter//5zgvAUlNstHTjgLMeSvyBCh08gLExq1NCqeTOpQ3ujZk2lgADqEQAAAAAAoHBs3Gg14AGrhATP9Iox0qsvG9WvR7sEAAAAAABFpWMHo4/GSp9/KX04zio93TP/36VS39utLuhp1be3UUwM9XYAAACUfP8utXrmWavNW7zz4uKkp54watKYZ1sAAAAAAIqTv79R31uM2raxenqYVcJOz/yvv5UWLLJ68nGpbh3q8QDKDldxnwDKrvE/SFP+8Exr2kS641Z+SAEAAACUPj26G41736hDe++8TZukO++2GvO+W1lZRKQGAAAAUDC/T7Ea/4NnWv36Ur+76VMBAAAASoKoKKPLLzUa/ZZLP3xn9PgjRuecLVWPK+4zk1JTpfkLpI8+lu651+r8XlaPPuHW1GlW6en0WQAAAAAAAN9ZsdLqrn7egX2qVZNGjSSwDwAAAAAAxSEw0OjG640++dDotFO9891u6Ycfpauusxr3CWMJAAAAUHJlZTlzdtzdL+/APt3PlMa+S2AfAAAAAABKklNaG30wJu9+qjVrpD63Wn36uVV2Nn1UAMoG/+I+AZRNK1dZvf6G549leLg0dIhRQACN4gAAAABKp8qVjV55Ufp2vDTqbav09MN52W7p/Q+lWbOtHhokxcdT9wEAAABwfKtWWT33omefSnCwNPQJo6Ag6hUAAABASRMd5QT2Oeds53k9MdFq6XJp/Xpp/QarjRulnTulPXucvoOilnZAmvanNO1Pq9BQqftZVpddYtSgPvULAAAAAABw4uYvsHroUav9+z3T69SRhr9kVLkybQ8AAAAAABSnqlWNnn3aaPbfViNe954MPS1Neme01fgfpDtuk3qcJRlDfR4AAAAlw8aNVkOHWf23wjsvOFjqf49Rr548wwIAAAAAUBJFRBgNGyp9/6P0+htWGRmH8zIynXk7p/0pPTJYql2buj2A0o3gPvC55H1Wjw+xysz0TH/sYaOqVfnhBAAAAFC6GWN02SVS+7bS089ZLV/umb9ipdT3dqtrrrbqfROTcQMAAAA4usS9Vg89ZnXggGf6ffcaBiMAAAAApUR0tFG3LlK3LpJ0+Dk+O9sqOVlKT5cyMpwByBkZzpKZKfn5HV5cLuevJGVlOUt2trNkZkqp+6WkJCeQ0I4EaetWafNmaU/isc9t/37px5+kH3+yatXS6qorjE7txovNAAAAAACgYP6Y6kymlvtdsSZNpJefN4qMpK0BAAAAAICSonNHozZjpc++kD7+1Huc8o4d0lNPW335tXTHrVLbNtTrAQAAUHystfp2vDPJb3q6d36zptLjjxjVqMFzKwAAAAAAJZkxRhdfKLVsIT051GrtOs/8pcuk3n2t+vaRrrpC8vOjrg+gdCK4D3wqK8tqyFNWW7Z6pl91pdStKz+WAAAAAMqOWrWM3hopjftE+uBDq2z34bxst/Txp9LUaVaD7meAOwAAAABvmZlWjw+x2rHDM71XT+m8c4vnnAAAAAD4jp+fUXS0r/fq2d+wa5fVfyukJf9azZknrVx59C0XLZYWLbZqUF+6+UbptFMll4v+CwAAAAAAcGzffW/16mtW1nqmt20jPfeMUWgo7QsAAAAAAJQ0QUFGN98o9TxPGj3GatIv8qrbL18u3XufVbu2VrffatSkMXV8AAAAFK1du6yefcHqnzneeX5+Uu+bjK6/VvL351kVAAAAAIDSol5do9FvS+++Z/Xl1559VBmZToDfqdOkRx+Satemzg+g9HEV9wmgbBn1ttWcuZ5pTZtId9zKjyQAAACAssff36j3TUbvjDKqU9s7f/MWZ4D7sy+4lZxsvQsAAAAAKJfcbqthz1stXOSZ3qK5dN8AI2PoVwEAAABwfJUqGXXranTn7S6NfdelH8cbDX7AqM0p0tGqFavXSI8Nsep7u9XcefRdAAAAAACAvFlrNeZ9t14Z7h3Y54zTpBefI7APAAAAAAAlXeXKRo885NJ77xid0jrvMnPnSbfeYfXI426tW884AgAAABQ+a61++93qxlvyDuxTq6b0zptGN99oCOwDAAAAAEApFBRk1O9ul94YYVSjhnf+suVS775Wn3xmlZ1N/xSA0oXgPvCZCZOcSHhHqhgjPfOUUUAAjeMAAAAAyq7GjY3GjjbqfZPk7++dP3GSdM31VuO/pwERAAAAKO+stRr+utXk3z3TYytLw4bSpwIAAADgxEVHGfW6wOj14S5984XTb1ExJu+yK1dJA+63GvSQWxs20HcBAAAAAAAOy862evlVq/c/9M67+ELpqSFGQUH0awIAAAAAUFo0amj0+nCj557JewI1SfpzunTTLVZPP+vWps2MIwAAAEDhSEy0enyI1VNPWyUne+dfdok0drRR48b0RQEAAAAAUNq1amn0wXtGV10hmVxV/YxM6a13rO68x2rtWvqmAJQeBPeBTyz513lp40gBAdKwp41iY2kgBwAAAFD2BQYa9ent0tjRRs2beecnJUsvD7fqc5vVnLlW1tKICAAAAJRHo8dYfTfeMy04WHr2GaOYGPpUAAAAAPhGbKzTb/H1F0aPP2JUu1be5Wb/Jd3Ux+qd0W4dOEDfBQAAAAAA5V16utUTT1l9/6N33i03G90/0MjPj35NAAAAAABKG2OMTu1m9PEHRg/cZ1SpkncZt1v65Vfpuhutnh7m1saNjCMAAACA7/wx1eqGm62m/umdV7Gi9MqLRgPvdSk4mL4oAAAAAADKiuBgo353u/Tm60Y1anjnL1su9b7VatQ7bqWl0TcFoOQjuA9O2o4Eq0cft8rM9Ex/8H6j5s1oIAcAAABQvtSrazRqpNF9A4xCQ73zV6+RBj5g1W+A1cJFNCACAAAA5YXbbTXqbbc++tgz3d9fGjbUqHEj+lQAAAAA+F5AgNE5Zxt99L7RU0/kHeQnK0sa94l0w81WM2fRdwEAAAAAQHmVkmJ1/4NW03JNqGaM9MBAo1tuNjKGfk0AAAAAAEozf3+jiy80+uITo7vuMIqI8C7jdku//CZdf7PVU8+4tWEDYwkAAABw4pKSrIYMdevxJ632Jnnnn3Wm9NFYo44d6IcCAAAAAKCsatnC6IP3jK660hmXeqTsbOnTz5y+qekz6JcCULIR3Acn5cABq0ces9qT6Jl+1RXSeefSSA4AAACgfHK5jC692OjjD4zOOC3vMgsXSffcazXgfrf+XUojIgAAAFCWZWVZDXve6tPPPdONkZ54jBcPAAAAABQ+Pz+j7mcZfTjW6IH7jGKivcts2y4NfsTq4cfc2r6DvgsAAAAAAMqTXbut7rnXauEiz/SAAOnpJ40uvog+TQAAAAAAypKgIKNrrzb68lOj3jdJISHeZdxu6bfJzkRqTzzl1qpVjCUAAABAwcyYaXXDzVa/T/HOi4yQhj5pNHSIS5GR9EUBAAAAAFDWBQcb9bvLpTdfN6pRwzt/xw7p4cesBj/i1vbt9EsBKJkI7oMT5nZbPfuC1YqVnukd2kt33k4jOQAAAADExho9M9SlEa8a1aubd5m586Q77rYa9JBbi5dYWUtDIgAAAFCWJCVZPfiw1S+/eucNut/orDPoUwEAAABQdPz9jS6+0OjzT4yuu0by8/MuM32GdP1NVl9+ZZWdTb8FAAAAAABl3br1VnfcZbV6jWd6WJj0yotGZ5xOnyYAAAAAAGVVeLhRn94uffWZ0fXX5h3kx1ppyh9S71utHhjs1qLFjCUAAADAsSXvs3r6WbceetRqT6J3/mmnSuM+4N06AAAAAADKo5YtjD4cY3Tj9ZK/v3f+zFnSdTdZjXnfrf376ZcCULIQ3AcnxFqrN0ZZTfnDM71GDenJJ4z8/WksBwAAAIBD2rYxGjvaaPADRlWq5F1m9l/SXf2s7rjb6o+pVllZNCQCAAAApd2ixVa9+1r9M8cz3c8lPTLY6MIL6E8BAAAAUDxCQ43uvN2l998zat3KO//AAen1N63uuddq40b6LAAAAAAAKKvmL7C6826r7Ts802OipTdeM2pzCn2aAAAAAACUB1FRRnfc5gT5ueG6vIP8SNJff0t397e6q59bs/+yspYxBQAAAPA07U+rG26y+uVX77wKFaQnHjMaNtQoJoZ+KAAAAAAAyqugIKPb+rr04RijNqd456enS+9/KF1zg9VPE6yys+mTAlAyENwHJ+SzL6Qvv/ZMCwuTXhhmFFGBxnIAAAAAyM3f36jXBUafjTMaeK9RxYp5l1u6THr8SavLr3aihSck0JAIAAAAlDZpaVajx7jVf4BVwk7PvKAg6blhRuefR38KAAAAgOJXr67RyNeMHn3IKCrSO3/Jv9LNfa0+/ZzBzwAAAAAAlDW//mZ13yCrlFTP9Opx0ltvGsXH06cJAAAAAEB5ExVldPutLn39udGN10uhoXmXW7xEGvSQVe++VpN/Z0wBAAAApF27rR59wq1Hn7Davcc7v0tnadwHRmf3MDKGfigAAAAAACDVrm004lWjJx41io72zt+9W3r+JatbbrOaM5f+KADFj+A+KLBffrUa9bbnj5ifn/TMU0a1a9NYDgAAAADHEhhodNklRl9+atTvbqOoqLzL7drlRAu/7CqrfgPc+v5Hq6QkGhQBAACAkiw722riJKurr7f6cJyU7fbMj4qSRrxq1KUz/SkAAAAASg5jjM471+jTcUYX9vLOz8iQRr1tdcc9VmvX0VcBAAAAAEBpZ63Vh+Oshg6zysryzGvSRHr7TaPqcfRpAgAAAABQnkVGGt3W16WvvzC6tY9RVGTe5VavkZ582uraG6y+/NoqJYVxBQAAAOWNtVY/TbC6/iaraX9654eHSY8+ZPTCs0aVKtIHBQAAAAAAPBljdPb/jD79yOiSiyVXHpEz1qyRBj5g9cBgt1auoj8KQPEhuA8K5M/pVs8+7/3D9ehDRu3b0WAOAAAAAPkVFGR01RVGX33mBPmpUiXvctZKCxZKL71ideGlVoMecuvnXxnkDgAAAJQU1lpt3Gj1zntuXXG11bMvWO3e7V2ubRvpgzFGzZvRnwIAAACgZIqIMHrwfpdeH24UF+edv3y51Oc2Z/LfrCz6KQAAAAAAKI2ysqxefNlq9Bjvuv2p3aSRw42io+nTBAAAAAAAjogKRjfdYPT1F0b39jOKjc273Jat0utvWF1yudXLw91au45xBQAAAOXBli1WA+63ev4lq5QU7/xOHaUP3zc671wjY+iDAgAAAAAAR1ehgtH9A1z6YIxRp455l/nrb+mWW60eG+LWuvX0RwEoev7FfQIoPebMtRoy1Crb7Zl+1x1OVDsAAAAAQMGFhBhddYV02SXS1GnSV99YLV2Wd9nsbGn2X9Lsv6z8/KTWray6djFq11aqU1tyuaibAQAAAEUhLc3qm++cvpNVq6Xk5KOXdbmkW242uuE6yc+PZ3YAAAAAJV+bU4w+HCONHmP11TeSPWJ8c2amkz7tT6vnhmWpcSOGIAIAAAAAUFok77N64kmrufO88664TLrnLkOfJgAAAAAAyFNwsNEVl0kXXyj9Nln65DOrDRu9y6UdkMZ/L43/3qrNKVaXXWLUtYvk70+bAwAAQFmSlWX15dfSmPet0tO986Mipf79jP7XXQT1AQAAAAAABVKvrtHLLxj9M8fqjVFWa9d5l5k6TfpzutX/eljdcrNR9TjaHwAUDd6sR74s+dfq4cesMjM906+6UrrmquI5JwAAAAAoS/z9jXp0l3p0N1q1yuq7H6wm/y7t3593+exsad58ad58Z0a9iAipZQurli2MWraQGjWUAgJoZAQAAAAKw7DnraZOO365Du2le+40qlePZ3MAAAAApUtIiFH/e4zOON3quRetNm3yzF+5Srrq2iTd1jdEV15u5c9IRAAAAAAASrRNm60efNi7jm+M1O9uoysvp08TAAAAAAAcX0CA0fnnSeeeI02fIY37xOq/FXmXnb9Amr/AKraydPFFUq+eUnQ0bRAAAACl3arVVs+/aLViZd75Z/eQ+t1jFB3Fsx8AAAAAADhxHdobvf+eNGGS9N4Yqz2Jnvlut/TLr9Lk363OPcfq2quMatemPQJA4eKVehzXqlVWgwZbHTjgmd6rpzMhnTH8WAEAAACAL8XHGz14v9G991j99bc0eYrVzFlSRsbRt0lOlmbMlGbMdIL9BAZK9etbxTeQ4hsYxTeQ6tWVQkOpwwEAAAAna+68Y+c3biT1vcWoU0eevwEAAACUbi1bGH3wnjTmfavPv3QGOx+SlSWNejtNv/wqPfygUePG1IEAAAAAACiJ5s23emyI1b59numBgdKQx41OP5U6PQAAAAAAKBiXy+j006TTTpUWLpK++c5q+nQp2+1dNmGn9O57VmPel7p2sTr/PKNOHSR/f9okAAAASpP0dKsPxll9+pmUne2dHxsrDbrfqDPv1AEAAAAAAB/x8zO68AKpx1nSN99Jn3xmlZLiWSY7W5owUZow0erUrlbXXmPUojntEwAKB8F9cEwbN1oNHGSVkuqZ3v1M6YH7COwDAAAAAIUpKMgZ4H76aUb791vNmOlEBp8zT8rMPPa2GRnS8uXOIjkBf4yRqle3qlNbqlNbql3bOH9rEfQHAAAAKIiunaVffvNMi4qS/tddOv88o/gGPF8DAAAAKDuCgozuusPojNOtnn3Bav16z/w1a6Xb7rK69GKrvrcYhYdTJwIAAAAAoKT4/kerV1+zXhOsxURLzw0zataUejwAAAAAADhxxhid0lo6pbVRQoLV9z9a/fCTlJjoXTY7W/pzuvTndKuYaOncc5xAP3Vq0z4BAABQ0i1abPXCS1YbN3nnGSNderF0+62GeSsAAAAAAEChCA01uuE66eILpS++svriKyktzbvc9JnS9JlWLZpbXXeNUZfOkstFewUA3zHWWuvLHSbm1buOUmnrNqt7+lsl7PRM79JJevYZI3//wvlBMsYoKipKkrR37175+BIFSgyudZQXXOsoL7jWUV5wrZcM+/c7AX5mzrKaN1/asePk9xlbWapZ01lq1TDO35pSlSoqtPpfSca1jvKCax3lBdc6Spvo6OjiPgX6e44jK8vq51+lPXuk2rWl+AZStarO/QYoKH6nAKDwcI8FAN/LyLD64COrTz6T16TAklQxRrr7LqP/daeOBAAngmdYACg8RX2Ppb8HKDtK6zNaVpbVm29ZffWNd158A+n5Z42qxFJ3B0qq0nrvAVB6cd8BUBy49wBlV0aG1dRp0jffWS1ddvzyzZpK559n1P1MKTy8cNsruPcAKAj6e3yDey9QuqWmWr31rtX47/POr11LeuhBoxbN6XcqDtxjAaBwcZ8FgMLFfRbAyUjca/XpZ1bffCdlZBy9XPU46ZKLjc4/T4qoUL7aL7jPAg5f9/cQ3Ad52rTZ6t6B3oF9TmktvfyCUVBQ4f0IccNHecG1jvKCax3lBdc6yguu9ZJp+w6rxUukxYutFi2W1q333b79/Z1GyVoHA//UrGFUq5ZUs4YUHV12J+bjWkd5wbWO8oJrHaUNL/8A5Qu/UwBQeLjHAkDhWblKev4lo5Ur84jwI6ltG+m+e41q1y6b/QgAUFh4hgWAwkNwHwAnqjQ+oyXutXpyqNW8+d55p50qPf6IUUgIdXagJCuN9x4ApRv3HQDFgXsPUD7895/VN99Z/f7HsSdWk6SgIKlbF6lHd6OOHaTAQN+3X3DvAVAQ9Pf4BvdeoPT6c7rVa697z0UoSX5+0g3XSTdebwrluQ35wz0WAAoX91kAKFzcZwH4wp49Vl9/a/XteCkl5ejlgoKks/8nXXqxUXyD8tGWwX0WcPi6v8ffp3tDmbB+g9W991nt3u2Z3qSx9MKzhRvYBwAAAABQcFWrGFWtIp3dw6mvJSdbrVzlTKy3erXVqtXSho2S213wfWdlOdtu2Hgo5XCjXHiYVLOmVc0aUs2aJicAUI3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" ] @@ -627,13 +727,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 52, "id": "75e7e1a2", "metadata": {}, "outputs": [ { "data": { - "image/png": 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MGTJE7XPlxpEjR9C2bVt4e3tnm873799j+fLl6Nixo9JrJU9aWhp++eUXDB8+XGHAEQAiIyOxfv16eHh4CCaZ0KUmTZrI3EylZxYrSJKTk/HDDz9gypQpSruSP3nyBMOHD8euXbsE6z99+oR+/frhjz/+kBtwBDLKmsuXL6N37964detWrtLr4+ODQYMG4fr16wrfWEZHR2PPnj3o3Lkzrl27pvY5EhISMH36dHh4eODkyZMKKz5AxtvYGzduYNiwYfj++++VljXZCQsLw6BBgzBnzhyVyhFNOXXqFNq1a4eNGzcqDTgCGa0gFy9ejI4dO0paBBOp6+LFi+jUqRP27t2bbcBBmrbuY7qQnp4us05fZ68OCgpC586dsXnzZrkBR2UuX76M9u3bY86cOQgKCsq23vXp0yfs378fffv2VbnOmunRo0fo1q0btm7dqjDgCAAPHz7Ed999JwjKZ2fZsmXo3r071q9fj3v37mX7d6SkpODixYsYPHgwZsyYIZi4JDtv375Fjx49sHDhQpUCjkDGyx0/Pz8sXLhQ5fNoI3+tW7cOPXv2xF9//aVS/k9MTMTNmzexePFi3Lx5U+XzaJtYLMaKFSvQpUsXHDt2TGndIS0tDbdu3cK4ceMwZMgQhQ/Nqjp48CC6deuG48ePyw04kv5ITEzEpEmTMHXqVKX17sjISKxatQqDBw9GeHi4FlOofbrMOyR06tQpdO/eHadPn5YbcAQynrPWrFmD7777TlCGi8Vi/P777xg6dChu3ryp8Dnt48eP+OGHH7Bo0SK105eamoqlS5eiU6dO8PPzU3r9xWIx7t+/j0mTJmHQoEF6n48KTNARAObPn48KFSpIlqOiojBlyhSkpKQo3e/9+/eYNWuWYF2nTp0waNAgtc6/cOFC7Nu3T7DOyMhIYTPpd+/eYdiwYWq1AHv16hX69u2Lf/75R+7nZmZmcs8nFouxe/dujB8/XmEmk5aUlIRp06bh999/V1hxMjMzg6WlpU4fHMRiMVauXInp06fLfTgwNDSEjY2N3O4rHz9+xJAhQ1QO3qSlpeGnn37CgQMH5H5epEgRmRkBg4ODMWzYMElXdF2bOnWqYPnKlSuCN5UFhVgsxk8//YS//vpLsL5o0aIwNzeX2T49PR0LFiyQ5K3w8HAMHjwYjx49EmxnaWkp961sfHw8xowZozA4mR1fX1+sXr1acBMzMDCAtbW13PwVFhaGMWPGqBV4DA0NxaBBg3DkyBG5N0tTU1OF5ztz5gy8vLyUPtgqEhcXh2+//RZ37twRrDc2NoalpaXax1PVjh07MGXKFIXlgqK/NSQkBEOHDlVYzhIpcvXqVUyYMEEmn1hYWCjteqrN+5iuSFeeRSKRRlp1adrTp0/x7bffypTlZmZm2c74u23bNowePVrhCw4TExPY2Ngo7FaoTve4J0+eYOjQofj48aNgvaJ7FJDRGtjPz0+l40tPSpCVmZmZwt8jkNHCZuzYsXIDzdLCw8MxaNAgvHz5UuG5ihUrlqvWvNrKXxs3bsSaNWvkBmiNjIxgbW0Na2vrfNetNDU1FdOmTcPGjRvlPkOYmJjAwsJC7r43btxA//79c/zy/fDhw/j5559lgo1WVlZ53i2d1JOWlobx48fj9OnTgvUmJiYKn4Xv37+PiRMnFtiuwbrMOyR0/vx5TJs2TTD2pZGREWxsbOQOe3fjxg38/PPPkuWFCxfC19dX8Fs1NTVV+Nv+888/sXv3bpXTFxsbizFjxmDr1q1yY1fK6g+3bt1C//798enTJ5XPp20Fpns1AJibm2P16tXo27ev5Ad17949/P7774IfTVbJycmYPHkyoqKiJOvKly+PBQsWqHXuy5cvS1rGGBsbw8vLCz179oSLiwsMDAyQlJSEa9euYevWrYLB0yMiIjBhwgQcO3Ys2y64ERERGD58uKCCaWRkhM6dO8PDwwO1atWSFFxJSUm4ffs2du3ahfPnz0u2DwgIwKpVq/DDDz9k+zfNmTMHx48fF6wzNTVF37590a5dO9SqVUtSCUxLS8OrV69w7949nD17FleuXJE5no2NDebOnQvgf2+4sn42efJkpelR1JXU19cXGzZsEKwrX748Bg0ahGbNmqFChQqSwMK7d+9w9uxZ+Pr64uvXrwAygkWTJ0/GsWPHsh2bz9fXV+Y7sbe3x9ixY9G+fXuUKFECQEYl+sKFC1i/fj3ev3+P9+/f47ffflN6bG2pXbs2WrdujYCAAMm6lStXYu/evTpMlebt27cPQUFBAIAKFSpg9OjRaNmypWQMrrCwMBw9ehTe3t6SoLpYLMa8efNw+vRpTJ06VXKjb9asGby8vNCwYUNJPn316hX+/PNPwYuGmJgYLF26FMuXL1crrc+ePZMER0UiETw9PeHp6Ylq1arB0NAQKSkpCAwMxO7du3HmzBnJfplvlE+cOIHixYsrPUdycjJGjx6Nhw8fStaJRCK0bt0affr0Qb169SR5LCUlBUFBQThw4ACOHTsmeXAMCgrCL7/8gpUrV6r1961YsULyxrtMmTIYOXIkWrVqJclvCQkJuH37tkYrnZcvX8aiRYsExzQ0NET//v3Ru3dvuLm5Cb7bvXv34tSpU5JtExISMHnyZBw+fFhmAgwAkrIMUK88q127di7/soIj874FZLRAytpy3MPDQ+l3lfUFo76Ii4vDjz/+KKksuru7o1+/fmjYsKHkXvn161ecOXNGJnilzfuYrkj3DChRooReBl+mTZsmCRo3bNgQXl5eaNKkiaR+FRkZiYCAAJky19/fX253r3bt2km6AGetx3z48AEPHjxAQEAAzp8/L6iHZicxMRETJ05EdHQ0RCIROnbsiL59+6JevXqS4Pa7d+9w+PBhbNmyRdDqcMmSJWjXrp3Kw3M4OjqiVatWkjF3y5QpI7hu7969w3///Ye9e/cK7i9XrlzBhg0bMG7cOKXHX7VqlSDAa2BgAA8PD/To0QPVq1cXPJAnJSXh5cuXePjwIS5duoTLly+r9DdoI3+FhITA29tbsK5cuXIYNmwYmjVrBkdHR8H39vnzZzx79gzXr19HQEAAXrx4odLfooqs9W0g4+X39u3bJcvly5cXDLWTlbz73Zo1a3DixAnBOisrK4waNQqdOnWSdNOMjY3F5cuXsXnzZsFv4e3btxg3bhwOHTqk1pjUHz58wLx58wD873fRq1cv1KpVCyYmJhCLxfjw4YNM2kg31qxZI3m5XKFCBYwYMQItWrSQPBvFxcXh0qVLWLVqlaCl8a1bt3Dw4EF4enpqJB1Zf/tZ/1/esjR5v//cyMu8U758ecHfc/fuXRw5ckSyXLt2bXh4eMhNV26GZ8qPvnz5ghkzZiAtLQ1FihSBl5cXunbtCldXV4hEIiQnJ+O///7DihUr8PjxY8l+J0+ehKenJ758+SLpnu3g4IDRo0ejTZs2KFWqFICM57/Tp09jxYoVghaHK1asQKdOnbId/1ksFmPatGky97SGDRuif//+aNCggSQfpaen49GjRzh69Cj27dsneSHz5s0bTJkyBbt27dLLulWBCjoCGWM1/PLLL4Ig444dO9CgQQO0b99eZvvff/8d9+/flyybmppi1apVCt86KJIZcLSxscH27dtRpUoVweempqZo1aoVWrZsiXXr1gkqJm/fvsXKlStlWltKmzFjhiDg6OjoiNWrV6NGjRoy25qamqJp06Zo2rQpjhw5gp9//lnyhmXLli1o37690nH8/Pz8ZMaBqFatGtatWyfJYFkZGhqiUqVKqFSpEvr06YPPnz/LFLIWFhYYMGAAgIzWpVkf0s3NzSWfqePOnTsyAZBhw4Zh2rRpcis2ZcqUwfDhw+Hh4YHx48cjMDAQQMZDxK+//oqNGzcqPFdwcLBM16SaNWti8+bNMoW3ra0t+vTpg86dO2PSpEm4dOmSXnXXnDx5Mi5evCgJyAQGBuLixYto1aqVbhOmQZkBx65du2LJkiUyb8Tt7OwwfPhw1KxZE15eXpKWCSEhIZg0aRKuXbsGAwMDzJ49W26rZ2dnZ8ybNw8lS5YU/JbPnDmDn3/+WaUJBjJlVjBMTU2xfv16fPPNN4LPjY2N0ahRIzRq1AgHDx7E7NmzJdcuKioKc+fOzXZCoMWLFwsqMjY2Nli+fLncMb6MjY1Rr1491KtXD926dcP333+PuLg4ABk34A4dOqg1fkhmwLFjx474448/ZPJm0aJF1R5rTJno6GjMnDlTEHC0sLDA5s2bUbduXcG2Wb/btm3bYvr06ZLfQnx8PKZNm4aDBw/KtIjMWl5pqjwrbBo3bozGjRsDyLiHZg1KNWrUKN+N0ZXZgsrY2BhLly5Fly5dZLaxt7eXKU+0eR/TlRs3bsh0Z82rcbNyK7O8mj59OoYPHy7zuY2NDXr27ClY9/TpU5mH2WLFisHb21vh+IalS5dG6dKl0b59eyQkJMDPz0/l8Z/DwsIQFhYGMzMzrFixAq1bt5bZpkyZMvj+++9Rv359jBgxQlKuxcbG4ujRoxg6dKjSc9StWxft27fPtmwuU6YMypQpg969e8PHx0dQv92yZQu8vLwU1qmTk5Nl6oqrVq1Chw4d5G5vamqKqlWromrVqvD09ERUVFS2LRC1lb9OnDghaJ1Su3ZtbNu2TWHrWAcHBzg4OKB58+b44YcfcOvWLRQrVkzp36KqrPVtIGMMsqxBxxIlSqh8j7p9+zY2b94sWOfq6gpfX1/JQ3DW83bq1Ant27fHokWLBEPWPHv2DCtWrMCMGTNU/jvev38PIOOeun79epkyQyQSwdHREaNGjVL5mJR3MgOOffr0wbx582Qm0zQ3N0enTp3wzTffYMiQIYIhxnbv3q2xoGPW37Z0uazNulle5x0HBwfB32NqaioIOlaoUIF10f+XWf8oVaoUfH194eLiIvjcxMQELVq0QP369TF48GDB85K3tzdevXoFAGjatCm8vb1l7mmWlpbw9PRE3bp14enpKXlmio2NxbFjxxS+5Mnk6+uLixcvSpZNTU3x22+/oUePHjLbGhgYoHr16qhevTo8PDwwevRohIaGAsh4nt++fTu+++47lb4XbdJ69+rMwYtz+i9r9FmRPn36yET2Z82aJdM8+cyZMzKD4//8888yAUNViUQirFu3Tun+IpEIEyZMkHmY2rt3r9K++FevXhX8GDODm/ICjtI8PDwELRvFYjG2bNmicPukpCSZcf6qVKmCXbt2yQ04yuPg4CC3sq5pv//+u6C5upeXF2bOnJntm1RbW1usX79eMNHNxYsXlY4l5OvrK2gtULx4cbkBx6zMzMzg7e2NihUrqvDXaI+bmxs6d+4sWLdq1aoC172hTp06+P3335V2walfv77MA2TmZBCjRo3KdpiFUaNGoVy5cpLllJQUQetidSxcuFAm4CitT58+mDBhgmDduXPnlA7T8Pr1a0GLTGNjY2zevFmlQF+zZs1kWu9IV6JUUatWLaxYsUKjM28rsn//fskNOJO3t7dMwFFat27dMH36dMG6Bw8e5Jtu1mvXrlX7nurv76/rZBc4M2fOlBtwVESb9zFdiIuLk7RWyqpdu3Y6SI1qhg8frlYdZtWqVYL6gZmZGXbv3q3yhCpFixaFl5eX2jNRLlq0SG7AMaumTZuif//+gnXS3R/l8fDwUOtlkIGBgUz9Ni4uDkePHlW4z7t37wRDEdSuXVthwFEea2vrbF+AaSt/SQ/FMmHChGy742dVv359mQdhfbBhwwZBN/lixYph69atMkGTrAwNDTF79myZPJ7ds44iy5cv19uXFCTUunVrLFiwQCbgmJWVlZVMj8LHjx/jzZs3eZ08rdKHvEP/Y2xsjA0bNigtZ83MzGQagQUGBiIyMhLly5fHunXrlDZMc3Fxkak7ZO2hJk9UVJRMw5EVK1bIDThKy2wQljW/bd++XS/Hvi1QYzpmNXfuXFSqVEmyHBMTg0mTJkkuwtu3b2V+VF27dkW/fv1yfE4PDw/Ur19fpW1/+uknwVhmycnJOHTokMLtpYOEU6ZMQdmyZVVO25AhQ1CmTBnJ8tmzZxUWXocOHZJ0KQEyunAvX75crcqTNgQGBkreQAMZLT9V6TaeycbGRiZ4o2isxtjYWJlu1VOnTlWpeXqRIkUwe/ZsldOlLRMnThQUUo8fPxZ0Ly0IfvnlF5WamMubYcze3h7jx4/Pdl9DQ0OZAENOJnVo2LChyjOdjRo1SpCfASjtHr9161ZBxefbb79Va8by9u3bC2YHffDggeAtoCp+/fVXrTT3T09Px549ewTrunfvjqZNm6q0/5AhQ2QmEFN35mYqvFxdXTFw4ECVt9fmfUwXnjx5goEDB8p0Ha1cubLeBh1tbW0xadIklbd//vy5YLgSICPwnNcBpGbNmqFTp04qbStdt33y5IlK4y3mxIgRIwTLWYcUkibdpVzTs6lqM39Jj4GZn2aGVeTNmzcy3f2mTZuW7XAuQEYji19++UXQejcxMVHlMUUztW7dOtvAOukHIyMj/PrrryqN81+jRg2Zupa69Up9pg95h4T69+8PNze3bLerX7++4GVTph9//FGlWIh0sDC7+630pINdunSBu7t7tufJVKtWLcHz45cvXwQN1fRFgQ06Fi1aFKtXrxb8OB4+fIjFixcjOTkZkyZNErxdrVChAubPn5+rc6rzoFGsWDGZlmaZraukhYeH4+rVq5JlS0tLmZZZ2TEyMhK8DU5PT8ft27flbisdkW/Xrp1evn2V7pLTr18/pQP1y9O+fXtB4E3RhCr//fefoECwtrYWzJaenSZNmujdGGQVKlSQaRHs7e2doxnO9VG1atVUnn2+evXqMuu6d++ucqs86RbHmc3w1aFO+WFiYoK+ffsK1ikqP9LT0wXBZAMDAwwePFjt9EmXV+rMslmtWjW533FeeP78ucwkDkOGDFF5f3nfz/Xr19WaiZUKr759+6o1sZo272Oa9uDBA+zdu1fm3/bt27Fs2TIMHDgQHh4egi50QEZLgkWLFuntzNU9evRQa9KSv//+W9BLwMHBQStDA6jTbc7V1VXQOiM+Pl5mAhpNcXFxEZxLeizPrKQH4H/48KFGg6HazF/Sk6Llhxnls3Pp0iXBb9vGxkal1jeZHBwcZFqiqttzQLquQ/qrZcuWKF26tMrbS/c+yUndWV/pQ94hIXW670s/s9jZ2aFNmzYq7VumTBlBo6T4+HiFk8sBsvcpdZ5ZMkk/o+njBLFaH9NR2eDFqihZsqTK27q4uGDu3Ln46aefJOv27NmDx48fC7pBFClSBKtXr5Y7o62qihcvrlbLISBjkPn9+/dLlh89eoSUlBSZrqC3bt0SFFwNGzZUu9IEAFWrVhUs37lzR6alQXJyskwFsXv37mqfSxukM1SLFi3UPoaFhQXKlSsnmTXx+fPniIuLk/ktZI4PmKl58+ZqdxN1d3fPUbfUvDR+/HgcO3ZM0gL41atXOHLkCHr37q3jlOWeqq2OgYzfgbW1taDVhTr7S1eylM36KY+hoaHa42m2bdtWMGHN58+f8enTJ5ky8vHjx4iJiZEsu7q65miiCekA7p07d1Quy7XZLUp6huxSpUqpXTa3b98es2bNkpS7KSkpuH//vlq/CV1o1aqV2r8jTmyjWer+1rV5H9O0ixcvqv023draGitWrNDaS4icyO017Ny5s9KuhZqiTnkkEong5OQkCABnvS+oKjk5Ga9evcLHjx8RFxeH+Ph4hTM1Z/ry5QvS09Plzg5aoUIFWFpaStLy+vVrzJ49G7NmzVJ7bHV5tJm/atasKei2vnjxYpQoUSJfdwuWvp+2bNlS7bpvhw4dBGPEP3jwAMnJySodRyQSCXpZkH5T91pJtwZWt+6sz3Sdd0jI2toarq6uKm8vPZxc3bp15d7DlO2fOc43oPh+GxERIRlHGsh4eVWnTh2Vz5NJ+hlN2cs+XdF60FGdwYs1oUePHrh586agSbJ0QfDLL7+gcuXKuTqPqi2qlO2TmJiI4OBgQbdwQPaHk5CQkKOZhjMrTJmkxzwDMoJOWaeSB/TzoTQ+Pl6QSYGMymVOMlnWcQ/S09MRFhYmU5mUbqkhHcBVRU72yWulS5dGv379BN1H161bh27duuX7m5o6b1uBjNbRWYOO8prWKyLd3D5zAGFVOTs7qzyBQKYKFSrAzMxM0AL3yZMnMkFH6TxhYGCQo/IjLCxMsCyv/FBEnRt9bkmPbZmT4IaFhQXKly+P169fC46r70HH6tWrc9BwHTIyMlKrV4C272O6ZGhoCHd3d8yaNUutl8e6oG55JT2WX04eGNRlYWGh9uyj0r+HrL19lImMjMSRI0dw8uRJPHz4UDA+oirEYjFiYmJgbW0t85mhoSE8PT2xdetWybpDhw7h77//RseOHdGqVSs0aNBA7r7Z0Xb+6tGjB7y9vZGQkAAg457p5eWFmjVromPHjvjmm29QuXJlvW3hK48m7qfS+yQlJeHNmzcyzzrylC5dWiPBZ9IOderNQM7LpPxA13mHhEqVKqVW2Sv9TKbuM6Wqz4VBQUGChmWWlpY5ekaT7iGgzjOathS42avl+eWXXxAUFCR3ogUPDw/06dMn1+dQ98cIZDTVLVKkiCDIlzUqnkn6Yf/q1auC7tY5JT2WDgCZcR4tLS3VmoVXW8LCwmQmPVm0aJFGjh0ZGSkzXqb0dcnJ9dbX8X3GjBmDQ4cOSYJXISEhOHDgQI664OoT6a5O2ZEeb1CdB3bpt1/qdg/Lye/JwMAApUqVErxMUKX8ePTokcxsfjkhr/xQRN2H49zQ1BhhTk5OgqCjvO+WKCsLCwu1xi3V9n1MW4yNjWFpaQkbGxu4ubmhVq1a6Nixo94HGzOpU16lpKTItM7Rxvcu3S1ZFdK/TVWGUjl48CD++OOPXJd/cXFxCgOHEydOxPXr1wXjucXExMDPzw9+fn4QiURwcXFBnTp10KBBAzRp0kTpRAyZtJ2/7O3tMX/+fEyfPl1QBwgKCpL0lrGyskLNmjVRr149NGzYEHXq1NHKWMc5pYn7afHixWFqaioYokTV+oM26w6Ue7mtd+fVOLO6oOu8Q0K5/W2q+/JD1ftt1jk0AODDhw9af0bTlkIRdDQ1NcXYsWMxefJkwXpbW1vMmTNHI+fI6Zs4S0tLQdBR3o8kr344mW9js5KuWOakYqsNeZmZpFt6ArJN/nNyvfX1ba29vT2GDBmCjRs3StZt2LABvXv3Vrv1nT7JbWsCbbZGyE35kZWuyw9FtDkJlfTfm5ffLVFW6rYs1PZ9TNMmTJiAiRMn5vl5tE2d6yjvGqr7cJMT2rg/rVu3DmvWrNHIsZQFE8zMzLBr1y4sWbIEBw8elHk4E4vFePHiBV68eAE/Pz8YGBigQYMG8PLyUjrYvi7yV/fu3WFra4v58+fLnYk3Ojoa//77L/79918AGUGFbt26Yfjw4SpNMKFtmryfZg2cqBrE1qfW2vpGugxQtwWytJSUFJl16nQnlZemwkzXeYeE9PWZUB+e0bSlwE4kk1VUVBT++OMPmfXh4eH4+++/dZAi9ci7ERR2efmdSL8ZLwxGjBghCDCHhoZyxt4CguUHkX7ifYz01c2bN2UCjiYmJujSpQvmz5+P/fv34+LFi7h9+zYePHiAp0+fCv6p283SzMwM8+fPx5kzZzBu3Dil3ZDT09Nx/fp1jB8/HkOGDMGXL1/kbqer/NWsWTOcPHkSa9asQfv27ZW+vA8NDcXWrVvRrl07zkxLapEOYmUdaicn5HX/1MYLFKLCrDA9oxWKlo4zZ85ESEiI3M/mzZuHGjVq5Hp25pyOQyE9sKi87ifS60aMGIEff/wxR+fLjnRXBn0d1Ffe93Tv3j21ZpxUh3SlMSfXW5/HKrGyssLw4cOxatUqyTpfX18MGDBAZ5WOgtTNIjvaLD86deokuM4FjfTfm5ffLSmWH/OvtgN12r6PFQba/t3Ju4Y5maBF30jfI9zc3ODj46NyMFHdcY0zlSlTBpMmTcKkSZMQGRmJW7duITAwEIGBgbh//75Ma64bN25g2LBhOHDggEwQRpf5y8jICB06dECHDh2Qnp6Op0+f4vbt27h9+zZu3rwpM95WQkICZs+eDUC9GVbzmrW1tSCtmrqfstt07kn/vjMndcppd3155Za+9nbLD5h3SBXS+bhmzZoF9gVUgW/puG3bNpw/f16ybGBgIKg0xcfHY9KkSbluhqpsKnRFwsLCZLpoyCtMpMdUzMum1dLniomJkRnnUR/IG2cyL78X6euSk+v9/v17DaUmbwwdOhR2dnaS5cjISMHg7uqS7pahyvhRWelrwDsv5OT3lJ6ejo8fPwrW6br80AfS34GiF07Zkc6vhamil5Ox36TpIv/mtzJH2/ex/CC/XUNjY2OZB3N53Wrzk7CwMAQGBkqWDQ0N4e3trXLAMTU1VSOBVxsbG7i7u+Onn37Cvn37cO3aNSxevFhmop+XL19i8+bNMvvrS/4yMDBAlSpVMHjwYKxcuRKXL1/GoUOHMGDAABgbGwu2XbJkiV6VAZq4n4aGhgq6hwJ8iacJ0r/vtLQ0vH37NsfHCw4OzvYcpDrmHVJFYXpGK9BBx7t372L58uWCdWPGjMGWLVsEY4w9f/4c8+fPz9W5sg6AndN9ihQpgvLly8ts5+bmJlh+/Pix2udSlbxZdKVn+9YHNjY2MtPZS88gqUnS1yAn58rL9GmCmZkZRo0aJVj3559/5jjoLD2On7pdP3ISiMuvXr16pfaLj9evX8t8p9K/U3nrnjx5UqC7Xko/kD548EDtY8TGxspUwCtXrpybZOUruc27UVFROW7plBvS43/pe5mj7ftYfpDfriEAVKtWTbCsj3UmdTx79kzQYrR27dpqTY7z6NGjHL2oyI6VlRV69eqFw4cPo02bNoLP/vrrL5nt9TV/iUQiVK9eHXPnzsWOHTsEgcfY2FgEBAToMHVCmrifSu9jamoq91mH1CNd7gCyMyarQ3pfc3NzVKhQIcfHK+yYd0gVVapUESyHhIQUiN4S8hTYoGNkZCSmTJki6CvfsGFDTJgwAc7OzjJBRn9/fxw5ciTH5wsNDZXMTqeqc+fOCZarVq0q89YTAL755hvB8uPHj/H582f1E6kCExMT1K5dW7Du2LFjGj+PkZGwZ39OKqhNmzYVLF+8eDE3SVKqZs2aguXLly8jOTlZrWNIX299NHDgQEElPS4uTjDBjDqkW3+o09IzMjISz58/z9F586O0tDS1f79ZW3ADgIODg9zZYevVqyfoThYREYF79+7lKJ35QZ06dQTLHz58UPul0NmzZwWBWWNjY9SoUUMj6csPpIdUUPcN/c2bN9U+pyZaV0qnW93W5Tdu3FD7nLmlzftYfpAfr2HDhg0Fy6dOncr1pA66JP2iUTpwl528DpoZGRnhhx9+EKwLCQmR231R3/NX3bp10a5dO8G63ASONE36fnrx4kW1677SY+dXr15d7rMOqcfe3h5lypQRrJOuF6pDet+aNWuqPZGMPtJE3SInmHdIFWXKlBHk47S0NFy6dEmHKco7+b80kUMsFmPGjBmCN9729vZYsWKFpPDp1q0b+vXrJ9hv3rx5ePnyZY7Pu3fvXpW3jYiIwMmTJwXrWrduLXfbUqVKCYJe6enpcruSaEqnTp0Ey+fOncvV9yKPdGuGnET1O3ToIFg+cuRIngVjGzduLGj9ExUVhRMnTqi8/7Vr1/D69eu8SJpGmZiYYNy4cYJ1e/fuzdH36uzsLFjO2l0rOwcOHMiXY8Llxp49e1TeNjk5WWbMD0Xlh4mJicxnOQ0k5weVKlWS6Qa4a9culfcXi8Uy2zdq1AimpqYaSV9+ULp0aUGL9+joaLVeAuzbt0/tc0rfE3Iy/pF0mXPv3j2Vy5GEhIQ8ecGWHW3ex/ID6Wv48uVLlbtMi8ViHDhwIC+SpVSHDh0Ek558/vwZ/v7+Wk+Hpkg/1KrTZT02NjZH+V9d0sEWQP5snfkhfzk5OQmWczshiCa1aNFC8NuOjIxUq+775csXnD59WrCuVatWmkpeoSddtzt//nyOeie9ePFCpoV2QblOmnjezAnmHVKV9H1q8+bNBbJHWoEMOvr6+gretBoYGGDZsmUoXry4YLuff/5Z0PUwt+M7Hj58GLdv31Zp299//11Q8BkbG6NPnz4Ktx8/frxgec+ePbl6Y6vsx9yzZ0/Bd5Wamopp06ZptCJkYWEheKiNi4tTuyLYsmVLQeujpKQkTJs2Te03SVkp+l4sLCzQpUsXwbrly5erNPZCYmIiFixYkOM0aVuvXr0EzfeTkpJyNLajdMuwQ4cOqVSIvnv3Dps2bVL7fPndjRs35HYRk2fTpk0yY/cMGDBA4fbjxo0TVH4uXLig1ksSafp8MzQwMMDAgQMF6w4fPqxyC6jdu3fLdGnx8vLSWPryA0NDQ1StWlWwTtWBrc+cOYPLly+rfU57e3vBck5edFWpUkUQMPn69SsuXLig0r7Lli3TyVg62ryP5QclSpQQtNhOSUnB4cOHVdp327ZtGn9BqgoXFxe4u7sL1i1ZskQnadEE6Rbzt2/fVvlBff78+WoFPXLaIlT6uzU0NJQ7/pw285em/hbpZxVdKleuHFq0aCFYt2zZMpWv8YIFCwTPDkWKFNGriXLyuyFDhghaI8bFxWHx4sVqHSMtLQ1z584V/K4tLCyUPpPmJ5qoW+QE8w6pavjw4YKGTY8fP5YZHlDT/P39UblyZcG/69ev5+k5C1zQMTAwECtXrhSsGzt2LJo0aSKzrampKVavXi14C5Kb8R3FYjHGjx+PJ0+eKN1u7dq1Mm/B+/fvr3TA3latWqFZs2aS5bS0NHz//fdqBw7Cw8Oxfv16jBgxQuE2JiYmmDx5smDd48ePMWTIEHz69Eml83z+/FlpoEokEsmMNadOa6RM06dPFzSdv3nzJr799luZCTaUEYvFuHbtGsaMGYOzZ88q3G748OEwMTGRLIeGhmLUqFGIiopSuE9CQgImTpyIFy9eqJweXTMyMsLEiRMF66RnWlRFx44dBcsPHz7MtoXu27dvMWLEiAI7nkV2Zs+ejatXryrd5tChQ1i7dq1gXZs2beSO55jJ1dVVprLy22+/Ye3atWp1NYmNjcXOnTvRs2dPlffRhb59+woe3MRiMSZMmJDtEBgnT56UqbDXqFFDpuJYGEi/ed2zZ0+23ab/+ecfzJgxI0fnkw5ynj17Vu0XUUWKFEHLli0F6xYtWoQvX74o3W/dunU5uv9oijbvY/mB9G9v7dq12T4oHjx4MM8r6cpMmjRJMIxFXFwcBg8ejFu3bqm0f0JCAnbu3ImwsLC8SqLKqlatKpgJOi4uDvPmzVPaajg1NRVz587F0aNH1TrXnj17MHr0aFy9elXlYHlCQgIWLVokWFevXj2Fs/ZqK39169YNPj4+al3DgIAAme7ojRo1Unl/bRgzZowgsPX161d89913SoMnaWlpWLhwIc6cOSNYP3DgQBQrVizP0lrYlC1bFt26dROsO3bsGObPn69SYD0uLg6TJk2SubcPGzZMZjb4/Eq6brFnzx6tvZhj3iFV2NnZYfTo0YJ1mzdvxpw5c2QmHFYmKSkJhw8fRs+ePfVyEmCj7DfRrC9fvuSqhQ2Q8YDt4OAgsz4iIgJTp04VvG1s3LgxJkyYoPBY5cuXx4IFCzBlyhTJOn9/fzRq1AgeHh4qp6lmzZoICgpCREQE+vTpg6FDh6Jnz55wcXGBSCRCUlIS/vvvP/j6+spEkp2cnDB16tRsz7F8+XL07dtXMjNiUlIS5s6diz179qBfv35o2LAhXFxcBJWr8PBwPH36FA8fPsTFixcRGBiItLQ0VKpUSem5+vTpg1u3bglaGDx48AAdOnRA37590b59e9SsWVPS5TAtLQ2vX7/G3bt3ce7cOfz7778oUaIEhg8frvAcbdq0ETTn37RpE27duoWGDRvC3t5eZtzHbt26ydwEGzRogJkzZwpaEt66dQsdOnRA9+7d0a5dO9SqVUswi1hycjLevHmDp0+f4saNG7hw4YIkqKbsmjs7O2P8+PGCoPa9e/fQpUsXjB07Fu3bt5cEOiIiInDhwgX4+PhIxqSqXbs27t69q/D4+qRLly7YuHEjnj17luNjuLm5oX79+oKHruXLl+PVq1cYOnQo3NzcIBKJkJ6ejqdPn+LEiRPYvXs34uPjYWJigkqVKuVogqb8qFq1anj69CkSExPx3XffwdPTE56enqhWrRoMDAyQmpqKwMBA7Nq1S6YiYmVlhblz52Z7jl9++QXPnz+X5Lm0tDR4e3vD398f/fv3R9OmTVG5cmVBS7Ho6Gg8e/YMjx8/xj///IP//vsPKSkpMhON6BsrKyssXrwYI0eOlFQuo6KiMGDAAAwcOBC9evVC5cqVYWBggJSUFNy9exd79+6V6fpiZmaGZcuWCVqJFhY9evSAt7e35AVASkoKRo4ciZEjR6Jnz54oXbo0gIzy9Pbt2/Dz88PJkychFotRtmxZxMXFqfXwXb9+fVhZWUm6ckZGRqJbt25wd3eHs7MzzMzMBNehQoUKaNy4scxxBg8eLBg/NyQkBH379sWkSZPQtm1byVizkZGRuHr1KrZv3y4Z47ROnTo6mQREm/ex/KB///7YvXu3pC4XHR2NgQMHYvz48ejSpQvs7OwAZDww37x5Ezt37sS///4LQHfXsFKlSpgzZw5mzpwpWRceHo5Bgwahffv26NGjBxo0aCCYefTjx4948OABAgICcO7cOURFRSkcJkObjIyM0KdPH2zfvl2y7q+//sLHjx8xevRoNGzYUBJgDQ0NxT///IMtW7ZIhpApX7484uLiVHpZmZ6ejosXL+LixYsoXrw42rVrhwYNGqBq1apwcnKS1APFYjFCQkLw77//Ytu2bTITfQ0dOlThObSVv0JDQ7F69WqsXbsW9evXR5s2bVC9enW4uroKxriOj4/Hw4cPcfToUfj7+wuCuVWrVkWDBg2y/d60qW7duhg5cqRgWJZHjx6hU6dOGD16NDp27Ci5H8TFxeHff//F5s2bcf/+fcFxXF1dBc9a+uzz588KW8nLaxF/4cIFvHr1Su72jRo1khk2QpN+/fVX3L17V/JsCGT02Lh48SK8vLzwzTffwNnZWfJsmJKSgqdPn+LSpUvYuXOnTHCiXr16GDt2bJ6lV9vatGmD48ePS5aPHz+OFy9eoFmzZnBwcJAZTkJRjCEnCmPeoZwZPXo0Hj16JHjG27dvH86ePYt+/fqhefPmqFq1qszLzZcvX+Lx48f4999/8e+//+rV8BzStB50DA4OVukBWRlnZ2eZAkEsFmP69OmCN5f29vZYtmxZtgPhdu7cGTdu3BAEQ+fNm4caNWrAxcVFpTS1aNECNWvWxK5du5CSkoItW7Zgy5YtMDY2hpmZmcLWcDY2Nli3bp1KD/E2Njbw9fXFuHHjBMGgZ8+e4bfffgOQ0YLQwsICIpEIcXFxuRowd968eUhMTMSpU6ck6xITE7Fjxw7s2LEDQMZYGYaGhoiJiVH7zZGnpyf+/PNPfP36VbIuMDBQ4dh/zZs3l/vmbciQIUhISMDKlSsllbekpCT4+flJugSamJjA3NwcCQkJar01kDZy5Eg8efJE8J2EhoZi/vz5mD9/PooWLQqRSCST6Z2cnDB79ux8011BJBJh8uTJMuM7qmv+/Pnw8PAQvHE9fPgwDh8+DGNjY5ibmyMmJkbwOxWJRJg/fz6uX79eaIKOrq6u6Nq1K5YuXYr09HTs378f+/fvh6GhISwsLBAdHS03f5mammLVqlUqVZBMTEzg4+ODSZMmCboah4SEYPny5ZJWQubm5jA2NkZsbGy+ngyhefPmmDVrFhYtWiT57lJTUyXlV3bfbdGiRbFq1apCO1OgjY0NZs6ciVmzZknWJSQkYM2aNVizZg2KFi0KY2NjmbLfysoK3t7eapcdRYoUwbfffovVq1dL1kVFReHQoUNyt+/Zs6fcoGOTJk3g4eEhmBju48ePkhaYlpaWSEtLkymjq1Spgrlz56JHjx5qpVtTtHkf03fOzs4YPXo01q1bJ1kXGRmJhQsXYuHChTA3N4dIJJIZ97NUqVJYtWqVTGtXbenVqxciIyPxxx9/CAJJf//9t2RCAFNTUxQtWlTvy9fMFn1ZJ5G6desWbt26BQMDA1hZWSEhIQFJSUmC/SwsLLB69eoc1R1CQ0OxZ88ewfjG5ubmMDExQWxsrGBiyKz69esn071dmjbzV1paGq5fvy5oYGBsbAwLCwukpKQoHK/W2toav//+u16+5Pr+++/x7t07wVj0kZGRWLp0KZYuXQoTExOYmpoq7KVSpkwZrFu3TtBbSJ+p+6yaNUAvbfHixXkadLSwsMD69esxZswYwbA7ISEhkp4bmc+GYrFY6XjJ1apVw+rVq2UafeRn7dq1Q8WKFQU9zp48eaKwV6K8GENuFLa8QzkjEomwdOlSiEQiwVieYWFh8PHxgY+PD4CMxhAmJiaIi4tTeE/MqbyeOKrAdK/evHkz/vnnH8myonEcFZk1a5agCXZOxnecNWsW+vfvL1iXkpKiMODo6OiI7du3K+0WKa1MmTI4cOAA+vTpI7criVgsRkxMDKKjoxUGHEUiESpXrpztuUxNTbFy5UpMnjxZEFnPKi4uTuFDe3YVp2LFimH9+vWStzy5MWrUKPj6+soMyJ0pOTkZERERSiuStra22d5oDA0NsWzZMvTu3Vvu5wkJCTIPsxUqVMD27dvzXbP4tm3bolatWrk6houLC3x8fATjd2ZKSUlBZGSk4HdqYmKCxYsX63333bwwfPhwTJ48WZBv0tLSEBUVJTd/FStWDBs2bJCZ3V4ZW1tbbNu2DaNGjVJYgYmLi0NkZKTSB+IqVaqofE5d8vLywsqVKwUtWDIp+24dHR3x559/6ix4oS969+6N77//Xu5nCQkJMmW/g4MDtm3bptY9LasxY8bIjMeZE/PmzVPYYiwmJkamjK5Xrx62bt2q8+5k2rqP5QcTJkxA37595X4WFxcn8+BcsWJF7Ny5U2Y8Qm0bPnw4fHx8UKJECbmfJyUlKS1f9WW22GLFimHjxo0yk3IBGa0TIyMjZQKOxYsXVzv/Z1dPjIuLQ0REhNyHK2NjY4wbNw7z5s1T6Vx5nb+U/S0pKSmIiIhQGPBxdXXF3r17s+2FpCtGRkZYsWIFRo8eLTcglZycrDBo0rBhQ+zfvx9ly5bN62QWWi4uLjh48KDMTOiZMp8NFf3+DA0N4enpiT179ujVmKKaYGJignXr1sHV1VUn52feIVUVLVoUq1evxsyZMxXWR+Pj4xEZGak04Ojs7Jzt5JfSw76VLFky18/82dGP2k0u3b59W9A6AsiYOEHeOI6KmJiYYPXq1YKLrO74joaGhpg3bx42bNiAatWqKdwus+/+iRMncvTwXrRoUSxcuBCnT59G//79VW7l1LBhQ0ybNg3nzp1TeewjkUiEsWPH4ty5cxg6dChKlSqV7fZVq1bF5MmTVZrBsGbNmjh58iSWLl2Krl27olKlSrC2tpZp7q6Kpk2b4syZM1i6dCnq1aun0jEcHR3Ru3dv+Pj44PLly6hTp062+xgZGWHRokXw9fVVmkFtbGwwduxYHD58WO5Mi/mBJprzN2/eHIcPH0aHDh0UjrlkaGgId3d3HDlypFAGHDONHTsWu3fvVjqmk6WlJfr3749Tp06hadOmap/DyMgI06ZNw/nz5/Hdd9+pVJkxNDRE7dq1MW7cOBw/flytmbZ1rVOnTjh79ixGjRqV7QsOFxcXzJw5E6dPn87zm29+MX78eGzbtk1mYqiszMzM4OXlhePHj6N69eo5PpeBgQHmzJmDY8eOYdSoUWjUqBFKlCgh07U6O0WKFMG6deswd+5cpUGokiVL4ueff8bOnTuVjqmsTdq6j+k7AwMD/Pbbb1i5cqXSVkI2NjaYOHEiDh06pDf32datW+PcuXOYOXOmSg+6jo6OGDx4MI4dO6aRl7CaUqlSJfj7+8PLy0tpbxwbGxt89913OHnyJGrWrKnWOQYPHozdu3dj5MiRqFmzpkq/dxsbG/Tr1w9//fUXJk2apFbZkJf569SpU1i4cCE6duyoMOiclUgkQt26dbFgwQIcOXJE5Z5VuiISiTB16lQcP34c3bt3h6WlpcJtDQ0NUa9ePaxbtw47d+6UDIlAecfa2hpr167FkSNH0L17d5XuaSVLlkS/fv1w6tQpLFiwQGEDk/yufPny8Pf3x9q1a9GzZ09UqVIFNjY2OXrWzAnmHVLHsGHDEBAQgEmTJqn0Iipznozhw4fjwIEDOHXqlMys7dKkJ9dU1hhFU0Ti/DzNoQ55e3sLJnOYMGGCzOQb7969w7179/Dp0yekpaXBzs4O5cuXR506dRQGX3IqODgYT58+RWRkJCIjIyESiWBubg47OztUqFABFSpU0NiP6eXLl3j27BnCw8MRHR0NY2NjWFlZoWzZsnB1ddWbh7eEhATJ9x8ZGYn4+HiYmZnBwsICTk5OcHFx0cgbvffv3yMoKAhfvnxBYmIibGxsULFiRdSuXbtAdVHQhOjoaNy8eROfPn1CdHQ0ihQpgjJlyqBevXr5riVoXvv8+TPu3LmDDx8+IDk5Gba2tnByckL9+vU1fmP4+PEjHj58iIiICEREREAsFsPc3BzFihVD+fLl4ezsLLe1an704sULSfkVGxsLKysr2NnZoXr16nJb9dD/fPjwAYGBgfj69Svi4+NhZWUFFxcX1K1bN9u3qroiFovx5MkTPHr0COHh4ZJ7sZubG6pXr66XXRmz0tZ9TN+9evUKQUFBCA8PR1JSEqytrVG5cmXUqlVL7++zoaGhkrRHREQAyOg27OjoiIoVKypseadPkpKScOfOHbx69QrR0dEwMDCAra0tKlWqhOrVq2usTpuUlISXL1/i7du3+Pr1K+Li4iT3Izs7O7i6uqJChQoaO19e5q9Pnz7h9evXeP/+PWJiYpCQkIAiRYrA0tISZcuWhZubm9xW+PlFamoqgoKC8O7dO4SHhyMlJQXFihVDiRIlUKdOHcE4lqQbL1++xIsXLxAZGSnpdWdjY4NixYrBzc1Nb17UFDbMO6SOsLAw3L9/H2FhYYiIiEBqairMzMxgbW2N8uXLw8XFRa2eOrGxsWjYsKGkp2HJkiVx9uxZBh31lSpBRyIiIiIiIiIiIl36559/MGrUKMnynDlzNDK0UXYKRPdqIiIiIiIiIiIikpW1a3WpUqW0Nsktg45EREREREREREQFVNag4+jRo7U2MzqDjkRERERERERERAVQXFwcHj16BAAoXbo0evfurbVz6/fo20RERERERERERJQj5ubmePjwoU7OzZaOREREREREREREpFEMOhIREREREREREZFGMehIREREREREREREGiUSi8ViXSeCiIiIiIiIiIiICg62dCQiIiIiIiIiIiKNYtCRiIiIiIiIiIiINIpBRyIiIiIiIiIiItIoBh2JiIiIiIiIiIhIoxh0JCIiIiIiIiIiIo1i0JGIiIiIiIiIiIg0ykjXCSDSJ5UrVxYsP336VEcpISIibRoyZAhu3LghWd6xYwcaNWqkwxQRkS48evQI/v7+CAwMxMePHxEdHY3U1FTJ5xMmTMDEiRN1mEL98+7dO7x8+RIfP35EbGwsUlNTYWlpCUtLS5QqVQpVq1aFhYWFrpNJREQ6wKAjESnVpk0bhISE5Po4DRs2xM6dOzWQIiKi/Ov69evw8vJSaVszMzNYWFigePHicHNzQ+3atdGhQwdYW1vncSqJCp+kpCTMnTsX/v7+uk5KvnDr1i0cPXoUAQEBCA0NVbqtgYEBnJ2d0aZNG/To0QMVK1bUUiqJiEjXGHQkIiIi0kPx8fGIj4/Hly9f8PDhQxw6dAgLFixAjx498OOPP8LKykrXSSQqMGbPno1jx47pOhl6LygoCIsWLcKdO3dU3ic9PR0vXrzAixcvsGnTJtStWxfTpk1D/fr18zCl+uPx48c4d+6cZLlKlSpwd3fXYYqIiLSHQUciIiKifCIpKQkHDhzAxYsXsWXLFplhQYhIfbdu3ZIJOFatWhUtW7ZE8eLFYWDwv2Hwq1evru3k6YW0tDSsWbMGGzduhFgsVridgYEBrKyskJycjPj4eLnbBAYGYtCgQRgxYgR+/PHHvEqy3nj8+DHWrl0rWe7ZsyeDjkRUaDDoSERqadWqFVq1aqX2fiVKlNB8YoiICoDJkyfDxsZGZn1sbCw+fvyImzdv4tmzZ4LPvnz5gpEjR8LPzw8ODg5aSilRweTn5ydY9vDwwJIlSyASiXSUIv2SkpKCadOm4cyZMzKfOTo6on379mjRogXc3NxgY2MjCdLGxcXh5cuXuHHjBk6fPo379+8L9n39+rVW0k9ERLrDoCMRqaV69eoYMGCArpNBRFRgdOvWDU5OTkq3uXbtGn7++WfBGLufP3/GqlWrsHjx4rxOIlGBdvv2bcHy+PHjGXDMYubMmTIBRysrK4wbNw6DBg2CiYmJ3P3Mzc1Rs2ZN1KxZEyNGjMC9e/ewatUqXL16VRvJJiIiPWCQ/SZEREREpEtNmjTBrl27UKxYMcH6o0eP4vPnzzpKFVH+l5ycjHfv3kmWzc3NUbZsWR2mSL/s2LEDf/31l2BdyZIlsW/fPnz77bcKA47y1KpVC9u2bcPvv/8Oc3NzTSeViIj0EIOORERERPlA6dKlMXr0aMG6tLQ0thoiyoXY2FjBMido+p/3799jxYoVgnU2NjbYs2cPXFxccnzcHj16wM/PD2XKlMltEomISM8x6EhERESUT3To0EFm3b1793SQEqKCISEhQbCcddKYwm7t2rUy388vv/wCR0fHXB/bxcUF06dPz/VxiIhIv3FMRyI1JCUl4c6dO3j58iWio6NhYWGBEiVKoE6dOpwoRcPEYjGePn2Kp0+fIjQ0FMnJybC2tkbLli2zHfsMAKKionD37l18/foV4eHhMDIyQrFixVC+fHnUqFEDhoaGGklnTEwMbt68iU+fPiEqKgrm5uYoX7486tatCwsLC42cQx+8f/8ejx8/RlhYGCIjI2Fubg47Ozu4ubnB2dk5T84ZFRWF27dv4+3bt0hISICVlRVKliyJBg0aaLQlSlpaGh4+fIh3794hIiICMTExKFq0KGxsbODi4oLKlSur1X0sPwkPD8eLFy/w5s0bxMTEICkpCZaWlrCysoKrqytcXV3z7AE8OTkZd+7cwYsXLxAdHQ0zMzPY2dmhbt26KF26tEbOkZiYiBs3buDjx4+IiIhAkSJFUKZMGdSpUwe2trYaOYe2lS5dGubm5oiLi5OsCw8Pz/HxQkNDERQUhPDwcERERMDExAR2dnaoWLEi3NzcNDqunTbyGsuqgllWZXrx4gWePXsm+futra1ha2uLGjVq5LjcUDYTszbpsjyWJzQ0VKZbdaNGjdC1a1eNnUOfA7xhYWF48uQJ3r17h5iYGKSkpKBo0aKwsLCAk5MTypcvj1KlSuk6mQAyJhYLCgqSlHtmZmawtbWFs7OzxsvxTGKxGI8fP5aUt0DGpJG1a9dG+fLls90/JSUF9+7dw/PnzxEVFYWiRYvCwcEBjRo1khlGJDe09TyQVXJyMoKCgvDq1StERkYiPT0ddnZ26Nq1K4oWLarx8xHpOwYdiVQQGRmJtWvX4tChQ4iPj5f53MDAAPXr18eUKVNQt25dpccKDAwUTMRiZmaGy5cv5yhAdf/+ffTp00eyXKRIEVy6dAnW1tZqH0vb2rRpI5gQ4fz583ByckJSUhL+/PNP7N69G58+fZLZb/HixQqDjmlpaTh69Cj279+P+/fvIy0tTe52NjY26NixI8aPH5/jYPGbN2+wbNkyBAQEICUlReZzY2NjdOrUCVOmTJE8CCn6m+V5//492rZtK1l2dHTEhQsX1ErjkCFDcOPGDcnyjh070KhRI5X3j42Nxfbt2/HXX38hODhY4XZOTk7o168fvLy8UKRIEZWO7e/vj5kzZ0qWe/bsiSVLlgDImM1y1apVOHfuHFJTU2X2NTQ0RJs2bTB16tRcBRHu3bsHX19fXL16FTExMQq3K1KkCOrXr49u3bqhU6dOMDU1lXyW3/JzWloabty4gTNnzuC///7LduZQS0tLdO7cGSNGjFBrjDNlv9+YmBj4+PjgwIEDMt0aM1WrVg1Tp05Fs2bNVD5nVqGhoVixYgVOnz4tt8w2NDREy5YtMWXKFLi6uuboHLpkYWEhCDoq+/3Kk5ycjD179uDw4cN48uSJwu2KFy+Onj17YuTIkbkKnmkirynDsipDQSqrsoqOjsaWLVvw119/4cOHDwq3q1ixIjw9PTFw4MBsg6+VK1dW+FlISIjCzxcvXoxevXqplvBsaKs8zqm//vpL5nc9cODAPD8voLs6kFgsxtGjR7F3717cvXs323MUL14cjRo1QufOnQXpBWTLjqwOHz6Mw4cPKzyuKn9vWloaDh06hD179uDx48dK09ipUyeMHTtWrZdtir6/9PR07Nu3D1u2bBHUabNq0KABZs2ahapVq8p8Fhsbi82bN2Pfvn2IjIyU+dzQ0BCdOnXCTz/9BAcHB5XTm1VePg8o+21++fIFPj4+OHr0qNy6R5MmTVRqOEFU0Ojv6yUiPfHgwQN07doVO3fulHsDAYD09HTcuHEDAwcOxNKlS5W+Na9bt67gJhwfHy/zJllVe/fuFSx37tw5XwQcFXnz5g08PDywfPlyuQFHZe7fv4/u3btj5syZuHv3rsIKBpARRN63bx/at2+PQ4cOqZ3O/fv3o1u3bvj777/lBhyBjDe4x44dQ9euXfHPP/+ofQ5dO3LkCNq2bQtvb2+lD/FARgVs+fLl6NixIx48eJDr8/bo0QOnT5+W+xAPZFQmz549i169euXouw0PD8eYMWPQt29fnDlzJtuATWJiIv79919Mnz4dmzdvFnyW3/LzgAEDMGzYMOzduzfbB1wgI5i1f/9+dOrUCTt37sz1+R89eoRu3bph69atCgOOAPDw4UN89913WLt2rdrnOH/+PDp37gx/f3+FZXZaWhouXLiAXr165agM0DXp36w6LScuXbqE9u3bY/HixUoDjkBG8HbTpk1o166dzvOaIiyr/qcglVWZTp06hXbt2mHjxo1KA45ARivIxYsXo2PHjvliyAFdl8fZCQgIECzb2NjIBNYKkvDwcAwYMADTp09XKeAIZJSRx48f13o38efPn6Nr16745ZdflAYcgYw07tixA+7u7vDz88vVeWNiYjB8+HDMmzdPYcARAG7evIl+/frh77//Fqx/9uwZPDw8sGHDBrkBRyCj3Dx+/Dh69+6Nly9fqp1GbT4PZHXx4kV06tQJe/fuVVj3ICqsGHQkUiI4OBjDhw9HaGioYL2FhQWMjY1ltheLxdi6dSvmzp2rNPAo/aZ43759aqctJiYGJ0+eFKzL2oohv/n8+TO8vLzw6tUrwfoiRYpkO8PhuXPnMGTIELx48ULmM5FIBEtLS5iZmcl8lpCQgFmzZmHTpk0qp3PPnj349ddfkZSUJPOZsbGxTGuguLg4TJgwAYGBgSqfQ5fEYjFWrlyJ6dOnK3wDbWNjI/f3//HjRwwZMgTXrl3L0bkPHz6MGTNmCL5bAwMDWFtbyz1fQkICxo8fj+fPn6t8jidPnqBPnz4yD1NZz2djY6OwFZS8fJ2f8nN0dLTc9QYGBrCysoKVlZXc7m6pqalYsGAB1q1bl+NzP3nyBEOHDsXHjx8F6y0tLRV+397e3mo9JJ0/fx6TJk2S+3caGhrC2tpa0M0sJSUFP//8M06fPq3yOXTt/fv3Mg80qrac2LNnD8aMGSNzDYD/5TV51yIyMhLjxo3D0aNHVU5nXuQ16c9ZVhXcsgrIaFk1ZcoUhddXOj9nCgkJwdChQ/X+hZ8uy+PspKSkyATe6tSpI/f3XRAkJydj6NChuHPnjtzPixYtimLFismtS2rbrVu3MHDgQJn6ciYrKysYGcl2ZoyLi8Ps2bPh7e2do/MmJydj9OjRMuWmubm53BdfycnJ+OGHHyRB0devX8PLy0swU7xIJIKVlZXc31VoaChGjhwpM6aoMtp8Hsjq6tWrmDBhgszLVAsLC5Vb7BMVZOxeTaTETz/9hKioKAAZ3f1GjhyJ5s2bS7ojvXv3DsePH8emTZsED4H79u1DlSpV0L9/f7nH7datG/744w/JsZ88eYI7d+6gTp06Kqft8OHDghtxtWrVULNmTbX/Rn0xZ84cSetGNzc3fPfdd2jWrJmkK0hsbCyuXLki09UiMDAQkyZNErQ0sba2Rr9+/dCuXTtUqVJFUpmJiIjAlStXsHnzZkELnxUrVqBy5cpo2bKl0jTeuXMHv/32m2CdsbExhg0bBg8PD7i4uEAkEiExMRHXrl3D1q1bcePGDUnFKzExMedfkJb4+vpiw4YNgnXly5fHoEGD0KxZM1SoUEHykPfu3TucPXsWvr6++Pr1K4CM1jOTJ0/GsWPH1OoW8+zZM5w4cQJisRhFixbFwIED0aVLF1SpUgUGBgYQi8V4+PAhtm3bhuPHj0v2S0lJwZw5c7Bnz55sz/HlyxeMGDFC5iVCuXLlMGTIEDRr1gxly5aVjO8TGxuLx48f4/r16zhz5gyePXsm97j5MT9Xq1YNrVq1Qp06deDq6ooSJUpIrmtqaipevHiBgIAA7N69W/B9rV27Fg0aNEDDhg3VOl9iYiImTpyI6OhoiEQidOzYEX379kW9evUkFfJ3797h8OHD2LJliyCYs2TJErRr1w42NjZKz/Hu3TtMmzZN0PrYwMAAnp6e8PT0RNWqVWFoaIiUlBTcvn0bu3btwtmzZyEWizF79mzY29ur9TfpyqlTp2TWZTesR+Z+8+bNE6wrUaIEBg0ahFatWgnGi/v8+TMuXryIzZs3Sx4QU1NTMXv2bFSuXBlubm5Kz5VXeS0rllUFu6y6fPkyFi1aJAieGhoaon///ujduzfc3Nwk+TkwMBB79+4V5I2EhARMnjwZhw8flju+3Ny5cyX/HxkZiVWrVkmWbWxsMHnyZLnpql27di7/MlnaLo9V8fLlSyQnJwvWVa9eXePn0Rfbtm2TyTft2rWDp6cnatWqJbj/pKSkIDg4GI8fP8alS5fwzz//yA3y165dW/I7u3v3Lo4cOSL4zMPDQ2F6FL1s//z5M8aPHy8TsG7evDm8vLzQuHFjmJiYID09Ha9evcKRI0ewfft2wX1x7dq1qFChgtpjc65ZswZBQUEAgBo1amDkyJH45ptvJM9EISEhOHDgAHx9fSXnS0pKwvz58/Hnn39iwoQJiIiIgEgkQufOndGvXz/UqVNHMhTCo0ePsGHDBpw5c0ZyzpCQEGzYsAFTpkzJNn3afB7IKi4uDj/++KPkb3Z3d0e/fv3QsGFDyUuhr1+/4syZM3oRtCbSBZFYX0ZPJtIDisbw6devH3799Ve5bw6BjAeaoUOHCroamJub48SJEwoHmV66dCm2bt0qWe7Rowd+//13ldPapUsXwZu8BQsWwNPTU+X9VSU9DuGECRMwceJEjR8309ChQzFjxgyVBhePjIyEh4eHoNVOkyZNsGzZMqUBhNTUVCxcuFDw8GdnZ4fz588r7KaYnJwMDw8PQVcPGxsb/PnnnwofwMViMdauXauwi6i+jel4584dDB48WFBhGzZsGKZNm6Z0fKzw8HCMHz9e0JqzVatW2Lhxo8J9FI11VK5cOWzatEnpIOTe3t4y3+nRo0eVBkLEYjEGDRqE27dvC9aPGTMGEydOVJi3s/rvv/8QHx+PNm3ayHyWX/Lzhg0b0LZtW1SqVEml7WNjY/HDDz8IWls1bNgw26590r/fTGZmZlixYgVat26tcN+rV69ixIgRgi5Rs2bNwtChQ5Wec+jQofjvv/8ky0WKFMH69evRtGlThfv4+fnhl19+kfvAqO4YqKq6fv06vLy8BOuUlQVZvXv3Dn369BG0/LKxscE///yjdIzCt2/fomfPnoJWGF27dsW8efOUjumXkJCAH3/8EWfPnpWsc3V1xbFjxxROTJDXeQ1gWZWd/F5WRUdHo3PnzoIAm4WFBTZv3qw0wP7XX39h+vTpgrKjevXqOHjwoNKJNDRxv80JbZXHOfH333/L1PXWrVsHd3d3jZ9LHm3XgTp16iRoOTh9+nQMHz5cpfMkJCTg7Nmz6N69u8JtlI0Nq47vvvsO//77r2Dd7NmzMWTIEIX7PH36FN9++61kshcgIz+dPHlS6QsX6e8v0/Dhw/HTTz8pzFPHjx/HtGnTBOvatGmDCxcuwNTUFMuXL0e7du0Unnf27NmCHg62tra4dOmS0la22nweUFS/MTY2xtKlS9GlSxeF5yMqrNi9migbzZo1w7x585RW9MuUKQNfX19BE/q4uDj8+eefCvcZMGCAILB2+vRpheObSLt586ag0m9paam1m9zatWtRuXJltf75+/urdOwOHTpg1qxZKs9muG3bNkEFo06dOti4cWO2LZaMjIzw66+/Ch7IwsLClI7ncubMGUHAUSQSwcfHR+nDo0gkwsSJEzU26Hxe+/333wUP8V5eXpg5c2a2A/Lb2tpi/fr1cHR0lKy7ePGiSq2VsrKwsMCWLVuynfVw/PjxMi8I5LX+yurcuXMyD/GTJ0/GlClTVHqIB4DGjRsrDILkl/w8ZswYlR9wgYxrsmbNGlSoUEGy7saNG2p1E81q0aJFSgOOANC0aVOZVuLZdX8ODAwUBByBjGCIsoAjAHh6emLChAlKt9EX165dg5eXl8zv6vvvv892UpQ1a9YIAo7t27fHH3/8ke0kIkWLFsWKFSsELZyePXuGixcvKtwnr/MawLIqO/m9rNq/f79MK09vb+9sW/R269ZNZmy9Bw8e6G03a12Xx8p8+fJFZl1+HjNcmcTEREHAsUSJEhg2bJjK+xctWlRpwFFTgoKCZAKOY8eOVRpwBDIaVGzatElQfmROvqWuzp07Y/r06UqD+F27dkWTJk0E6zIDxrNnz1YacASAGTNmwNLSUrIcHh6OmzdvKt1Hm88DisycOZMBRyIFGHQkUiLzZqTs5pqpQoUKMm9FDx8+LHfsPwAoW7YsmjdvLllOSkpSOTgnPYi7h4dHvm+yb2xsjNmzZ6u8fVxcnOB7MDQ0xIIFC1QeO0UkEmHGjBmS7mlAxoOOItKfeXh4oF69eiqd66effhJUoPRRYGCgoPWPo6MjfvjhB5X3t7GxkQneHDhwQK00jBo1SqUZOTO7zGb18OFDpftIj9NTr149jB49Wq30KVOQ87OJiYlMy7zr16+rfZxmzZqhU6dOKm3br18/wfKTJ0+Qnp6ucHvp/NmwYUN069ZNpXONGjUKZcqUUWnbvPLXX39h7969Mv+2bNmC3377Dd26dcOwYcNkJtLo1asXBg0apPTYISEhgkCXhYUF5s6dq/LLHRMTE/z000+CdcrKyrzOayyrckffy6r09HSZLujdu3fP9gVCpiFDhqBatWqCddqYdEVbNFUeZ0feRBj6Xo/JqczhBjI5OjqqXD5qk/TvuGzZshg3bpxK+1avXl3mXnHw4EG1xks0NjbGrFmzVNpW3v23SpUq6Nu3b7b7WlhYyLw0UTbxl7afB+RxdXXV2szuRPmR/pWoRHrkm2++Qbly5VTeXroFQWRkpEyLhaykKwD79+/PdvD88PBwmdngFI0dmZ+0bt0aJUqUUHn7f//9V1BRbNKkCSpWrKjWOcuVKydowfP8+XO5LT6io6Nx69YtwTp1KhfFihVD586d1Uqbtp04cUKw3K9fP7UHv27fvr3gTbq8bjmKGBgYqFQZzSTd4kXRgOpAxqQRmeMQZRo9erTGHyoKcn6WHsdM1Zk9s1JnsglXV1dBK7z4+Hi5k58AGd1RpVveqZM/TUxM1Prt5YVVq1Zh7ty5Mv/++OMP7Nq1S6YlnoWFBWbOnInFixdne+wzZ84IWgV26dIFdnZ2aqWvUaNGKF68uGT59u3bcoPA2shrLKtyT5/LqufPn8sE17NryZWVgYEBBg8eLFh3/fp1hS+A8yNNlMfZkR7PEYBevQzTJOlg6suXL/Vy9uFLly4Jlvv165dt6+6shgwZImhEER0drdZvp3Xr1oL7gDI1atSQWafOMAzS+ysrN7X5PKBI3759VWqgQlRYcSIZIiXkjdmhjIODA2rUqIF79+5J1t29e1fhG/oWLVqgbNmyePv2LYCM2bKvXbum9I3+wYMHBQNCN2jQQO2ba260atUKrVq1UmsfVQZeV3fsNOmuFllbbqijatWqkuslFotx7949mQGkg4KCBA9kxYsXV3vgfHd3d7XfnGqT9EN3ixYt1D6GhYUFypUrJ+mG/vz5c8TFxWU7+zgAVKpUCcWKFVP5XNIt02JiYhRuK90KxMbGJkd/X3byY34GMr6758+fIzw8HLGxsUhMTJQJQEhXvjMnfVJH/fr1Vd5WJBLByclJMMC7omscHBwsSJ+hoaHaZVTbtm2xfPlytfbRlWbNmmHFihUqd3XURN4GMlqpZHZ5jY6OxqtXr2R+q9rIayyrck+fyyrp2YNLlSql9v22ffv2mDVrlqQcS0lJwf3799Uqg3RFW+VxduQFs/QxEKcJZmZmqFSpkqSbenR0NKZMmYJFixap/YImr7x69Urmunfo0EGtY5QpUwZVq1YVtLYODAyU6QqtiDr5p3Tp0jLrVO0dBEBmPHxFM70D2n0eUCQvxn8mKkgYdCRSomrVqjnaJ2vQMetDszSRSISBAwcKBpPeu3evwoq/WCyWCVyp03pIE6pXr54n53R1dVVre+m3s2/evJHp+qWK9+/fC5bljWMkfQ2lu26pIif7aEt8fLzMmFA3btzIUeuJrK0j0tPTERYWptKDfNYx1lQhfcys49VJe/TokWC5Tp06efJGOj/l59evX8Pf3x9nzpzBmzdv1N5f2QOAPBYWFtnOPi1N1WssnT+dnZ0VDgCvSIUKFWBmZpYvHqr//fdfTJ48GatXr4aVlVW222e9HwEZ3Xulx8tTRUREhGA5NDRUJuiU13mNZZVm6HNZ9fTpU8FyTmZMtrCwQPny5fH69WvBcfU16Kjt8lgV8lo1Kvvt5nf9+/fHb7/9Jlm+ePEiWrdujXbt2qFNmzZo1KhRtuMD5iXpfGFtbZ2jYUGqV68uCDpKH1cZdco+efdgdfaXLjfj4uIUbqvN5wF5jIyM4OLiovb5iAoTBh2JlFD34ULePtk1z+/VqxdWr14tGVflwoUL+Pz5s9wZ5S5fviy4KdrZ2WU7IHN+oW5AIussfABkxoDKKemxfQDZayjvDW527OzsUKRIESQmJuY0aXkmLCxMpiXFokWLNHLsyMhIlcY+UyV4klXWsXcAKB3vLzw8XLCcl+P36Xt+Tk5OxvLly7Fr1y5Bl1t1KXsAkEfd6wvIXuOsM9JmpYn8aWBggFKlSgkmi9ImebNXJyYmIjQ0FHfu3MG+ffsEQ3VcvXoVo0aNwp9//qm0a3F6erpMsNDHx0cjaZZ3b8vrvMaySnP0taySvgerMqu7PE5OToKgozpdJbVFV+WxKuR1o9XH71BTBgwYgEuXLgkmHUpKSsLx48dx/PhxABljKNauXRsNGzZE48aNtToWsCbzhbLjKpPdxGNZSZd76u4vPaSEsnJTm88D8lhYWMj9e4nofzimI5ES6twgM0mPDZPdG2hra2t07dpVspyamgo/Pz+520q/uevdu7da47noM3XHCsqryq+8oKD0NczJ7wLQ30HY1al0qkvVIGtejoUj/VvJSQBMVfqcn5OTkzF+/Hhs3749Vw+4ALId/01aXl5f6e6qBSV/FilSBGXKlEH37t2xZ88eTJkyRfD5nTt3sHDhQqXHiIqKUvtaqUpe3s7rvMaySnP0taySvsaays95+dvJCV2Wx6qQF4BXp1VcfmNoaIh169Zh9OjRCl/kvH37FseOHcPs2bPh7u4OT09PHD58WOELMU2Sroeq0ipbntzki9yWfXlVdmrzeUCenF4LosKEQUciPSA96Lmfn59MJebTp0+CN7AGBgYyM7wWJlnHltKkvHpA12d59V0ChfP71Nf8vGnTJpmB6IsVK4bBgwdj5cqV8Pf3x5UrV3Dnzh08evQIT58+lfw7f/58nqaNsjdmzBiZLq379+/HtWvXFO5T0PJ2Qft7dE1fy6rCQN/L44oVK8LY2FiwTtkMwgWBsbExpk6divPnz2PatGmoWbOm0hZsQUFBmDFjBnr27Kl0ohPKW3weINJ/7F5NpERsbCxsbW3V2ke61Y0qLRXc3NxQt25dBAYGAsio5AcEBMDd3V2yzYEDBwQPA82bN89x94qCwMbGRjAu2aZNm1Qe8Fld0tcwp+MaKZtAIC8o646SlbwJKe7du4ciRYpoOkk6Id11Py/Gv8pKH/NzXFwcNm/eLFjXtWtXLFiwQKXxD/V5rEPplhv5JX/mxPTp02W6ui5cuBBHjx6V+3Asb9iKkydP5tn4U3md11hWaZY+llXS11hT+VnViZe0IT+Ux8bGxqhdu7Zgko47d+4gJSVFJhipr1StA0krXrw4Ro0ahVGjRiE2NhZ37tzB7du3ERgYiDt37sjM7P306VN4eXnh4MGDKFmypCaSLkO6HprTLvX6nC9ySpvPA0SUM2zpSKRESEhIrvdRdaxC6RYHWbszyev21L9/f7XTVpBIzx6al2MNSV/DDx8+qH2MsLAwtcZzVHU8O2VUfWCVF1gvSGM3Sf99mTO25iV9y8+XL18W/P7Kly+PxYsXqzzhivS4gPpEE/kzPT0dHz9+1FCK8k7RokUxbdo0wbrnz5/j2LFjcrc3MTGR6fqVl9cyr/MayyrN07eySjo/56QeBshOCqHuuNF5Kb+Ux61bt5Y574ULF7Rybm3WgZSxsLBA8+bNMXnyZOzYsQPXr1/HqlWrUKdOHcF2oaGhWLZsWa7Pp0he5YuCEHTU5vMAEeUMg45ESkjPJJmTfdzc3FTar3379oKBu69cuYJ3794ByBjgPessaqVLl0arVq3UTltBUqVKFcHy48eP8+xc0tcw68x/qlJ3H+kxLtVt2SAWi/Hp0yeVtrWxsUGpUqUE63Ly29dX0jOH3717N8+7zehbfpYei6tTp05qjcl2//59TSdJY6Tz56tXrySTY6jq9evXet2aM6tOnTrJ/M0+Pj4Kx4XTZlmZ13mNZZXm6VtZ5erqKljOSZfe2NhYBAcHC9ZVrlw5N8nSqPxSHnfv3h1GRsJOcZqapCM72qwDqcPMzAydOnXCvn37MGjQIMFnZ8+eRVJSksbPCcjmi8jISEk+VYd0ftKnfJFT2rzHEVHOMOhIpIS64+Z8/vxZpjJYu3ZtlfY1NjZG3759JctisRj79u0DIDuIe9++fWVmditsmjZtKli+dOlSnj2c1axZUzAAdmhoKIKCgtQ6xrlz59Ta3sLCQnDO6Ohotd7aP3nyRK3tpb/PixcvqryvvmvUqJFgOTIyUmYsLU3Tt/wsPbujdOAmOwEBAZpMjkaVL19e0AokLS1N7d9vfhqzUiQSYdy4cYJ1b9++xV9//SV3e23mbW3kNZZVmqVvZZV0C7IPHz6o/dLu7NmzgvqAsbExatSooZH0aUJ+KY+LFy8umGwIAP777z/JbM6aoKgLtLbrQDkxdepUQVfzxMREmWB3pty23HR2dpZp7ahuvfL9+/cyL2nq1q2r1jH0kTafB4goZwp31IIoG1euXMGbN29U3n7v3r2CCpS1tbVaN/R+/foJ3ir7+/vj+fPngokCjI2N0adPH5WPWVC1aNFC0BXp5cuXalfAVGVlZYV69eoJ1kk/jCkTERGBkydPqnVOQ0NDlCtXTrAuc9wtVWQ+NKqqQ4cOguUjR47g8+fPah1DX5UsWVLmQXbjxo15XinVp/ws3YpGnYexe/fu4datW5pOksaIRCKZ8ZvUaY2TnJyscNZefdW+fXuZli8bNmyQ+yDbvn17wcP7v//+m6PW2qrQRl5jWaV5+lRWVapUCY6OjoJ1u3btUnl/sVgss32jRo0UzkisC/mpPJ44caLMmKm//fZbjrv3ZvXq1SssXbpU7mfargPlhIWFhUwgUFEre+lhLnIyhrD0fW7fvn1qTaKya9cuQVlibW0tU97kR9p8HiCinGHQkUiJ1NRUzJ8/X6UK/+vXr7F161bBup49e6o1wL2Dg4NgAPfw8HB8//33gvO3bdtW0BWqsLK1tZWZyXXu3Lm5qggru87Ss3UePnwYt2/fVum4v//+e44qmDVr1hQsqxoYuXfvHg4dOqTWuVq2bCloCZKUlIRp06bJDJiuDn160zxy5EjB8u3bt7Fhw4Y8Pac+5WcHBwfBsqqtw+Lj4zFjxow8SJFmSefPGzduKGz5J23Tpk1aGTtPk0QiEcaOHStYFxwcLLcFUqVKldC+fXvBuh9++CFXrYCU5e28zmssqzRPn8oqAwMDDBw4ULDu8OHDuHHjhkr77969W6YLqZeXl8bSpwn5qTx2cnLC1KlTBesiIyMxcOBAvHz5MsfHPXbsGPr06aO0i7C26kCKhqbITnh4OMLDwwXr7O3t5W4rnXdyMtu19PirwcHB2LRpk0r7Pnr0CDt37hSs69OnT4GYhEvbzwNEpD4GHYmy8e+//2Lu3LlKu0K8f/8e3333nWAsFzMzMwwdOlTt80lXKqQrJtI31sJs5MiRKFGihGT569evGDRokNqtAF68eIE5c+YoHQS8Y8eOqFChgmRZLBZj/PjxePLkicJ9xGIxvL294e/vr1Z6Mkm36Dl37ly23ZqCgoIwbtw4td5+Z5o+fbqgC9DNmzfx7bffqjXBhlgsxrVr1zBmzBicPXtW7TTklTZt2qBhw4aCdatWrcKqVatUfuC4fv262oPo60t+lu62eevWLezfv1/pPuHh4Rg+fHiOHo60rV69ejLXd/bs2YKWWvIcPHgQa9euzcuk5ZmOHTvC2dlZsG7Dhg1yuytOmTJFMEbaq1evMHDgQDx79kytcwYFBWHatGkyD69ZaSOvsaxSLj+XVUBGN+6sQRqxWIwJEyZkO6zJyZMnsXjxYsG6GjVqoEWLFnmSzpzKb+Xx0KFDZbpZf/r0Cf3798f27dvVCvgHBQXh22+/xY8//pjtDMzaqgNdvHgRAwcOxNmzZ1XOY2lpaVi4cKHg2cDJyUmmlW4mV1dXQZn15s0bXL58WeU0AhlB2GbNmgnWeXt748CBA0r3e/78OUaNGiX42ywtLXP0jKKvtPk8QETqY9CRSIlatWoByOjC4OnpidOnTwsqSe/evcP69evRvXt3mTdqP/zwA0qXLq32ORs0aCDTbS6Ts7MzGjdurPYxCypbW1usW7dO0G3q48ePGDx4MEaMGIHjx4/jw4cPgjeW6enpCAkJwYULF7BixQp06dIFXbp0wb59+5ROPmFiYoIFCxYIuilGRETA09MTy5cvx8uXLyXnSUpKwsWLF+Hl5SUJaDg6OsLOzk6tv69Vq1ZwcnISrPvpp5+wePFiwYNHamoq7ty5gzlz5mDgwIH4+vUrbGxsBEFSVTRo0AAzZ84UrLt16xY6dOiA2bNn459//pGZFTA5ORnPnz/H8ePH8euvv6J58+YYNmwYAgICFI7VpAsikQgrVqyQaW2wfv16dOnSBbt27UJwcLAgzbGxsbh16xbWrl2Lbt26wcvLS+1uqfqSn2vUqCEzScWvv/6KmTNn4sGDB5IHJ7FYjJcvX2L9+vXo2LEj7ty5AwAyQRB9tGDBAkGrjcTERAwfPhy//vorHj58KLm2KSkpuH79OiZOnIiff/4ZYrEYVlZWaucXXTMwMMCYMWME6169eiV3KIcKFSrgjz/+EJRfz58/h4eHByZPnoyzZ8/i69evgn1SU1MRHByMM2fOYNGiRWjbti08PT1x/PhxpQ/02shrLKsKblkFZAxpsnjxYsHvNSoqCgMGDMDChQvx+PFjQX6+efMmpk6diilTpggCK2ZmZli2bJngOPogP5bHixcvlmkxHR0djcWLF6Njx45YunQprl27hvDwcMFvMz4+HkFBQfD19YWnpyc8PT1x9epVlc6pzTrQ7du3MWHCBHzzzTeYOXMmjh49iufPn8sEVD9//oxjx45JysKshgwZovC3VrRoUTRp0kSwbuzYsZgwYQLWr1+P3bt3Y+/evZJ/x44dk3ucRYsWCbp0i8Vi/PLLLxgzZgyuXLkiSW/mb2fFihXo1asXQkNDBceZO3euTIvb/EybzwNEpD6j7DchKrx+//139OvXD5GRkXj48CEmTZoEIOMNYVJSksK3u56enjLdg9QxaNAgzJkzR2a9dBdCynjz6+Pjg6lTpyIqKgpARmXr8uXLkrfIhoaGsLS0REpKCuLj43PcbaJ+/fr4+eefsWDBAsm65ORkbNq0CZs2bYKxsTGKFi0q023RxMQEy5Ytww8//KDW+YyMjLBgwQJ8++23kjSnpaVh+/bt2L59O0xNTVGkSBFER0fLDJq/cuVKrF+/Hq9fv1brnEOGDEFCQgJWrlwpeXBISkqCn5+fpGuTiYkJzM3NkZCQgMTERLWOr0vFixfHli1bMGbMGEGLqODgYPz2228AMgI5VlZWSEpK0lilUx/ys0gkwuzZs+Hl5SUIGPn7+8Pf3x/GxsYwNzdHbGysTEsPV1dX/Pzzz+jRo4fW0psT5cqVw7JlyzB58mTJ35Ceno79+/dj//79MDQ0hIWFhUx+EYlE+O2337B7926184uude3aFevWrROMPbx+/Xp07txZZsIPd3d3LFmyBL/++qukVX5aWhpOnTqFU6dOAYDkd5CcnJyr2by1kddYVhXMsipT8+bNMWvWLCxatEiSX1NTU7Fjxw7s2LFDYX7OVLRoUaxatQrly5fXcsqzlx/LYxMTE6xatQqrV6/Gpk2bBN95SEgItm7dKhliKPO3mZqaitjYWIXHFIlEcHNzU/i5LupAkZGRkuuQyczMDKampoiPj1c4O3Xz5s2z7cY/ZswYXL16VRAwP3v2rNyW1o6OjujevbvMegcHB6xbtw5jx44V1DUDAgIQEBAAkUgEKysrxMXFKWy1OWHCBJmWqwWBNp8HiEg9bOlIpET58uXh6+sr0+IgJiZGbsBRJBJh6NCh+O2333L1Zr179+6wtLQUrCtSpAh69uyZ42MWZM2aNcOhQ4fQoEEDuZ+npaUhMjIScXFxCisYpqamMl0V5RkyZAjmzJkjd1D6lJQUmYCjubk51q1bl+MZAps0aYJFixbJzHwIZDxgR0VFCf4mS0tLrF+/XmY2P3WMGjUKvr6+Mi0MMiUnJyMiIkLpQ7ytra1evkV3c3ODn58fvvnmG7mfp6enIzIyUuFDfE7ytb7k57p16+KPP/6QO4ZTSkoKIiMjZR5S6tSpg+3bt8PCwkJbycyVdu3aYfXq1TLfN5BRDkjnF2NjYyxatAgdO3bUZjI1xtDQEKNHjxase/HiBU6fPi13ew8PD+zbtw+VK1eW+3nm70BZwNHCwgJlypTJNm3ayGssqwpmWZXJy8sLK1eulJmsA5CfnzM5Ojrizz//lJl4Q5/kx/LY0NAQU6dOxb59+1C7dm2F22X+NpUFHJs2bYqDBw/i+++/V3pOXdSBpMXHxyMiIkJuwFEkEqFfv35Yv359tjO7N2jQAL/99ptg0pOcqF+/Pnbv3i23zioWixEVFSU34Ghubo4FCxZg4sSJuTq/PtPm8wARqY5BR6JsVK9eHcePH8eQIUMEY2JlZWBggAYNGmDXrl2YNWtWrrvymJmZoX79+oJ1nTt3hrW1da6OW5CVKVMGu3btws6dO+Hu7q5Spdza2hrt2rXDggULcOXKFZkxrRQZOHAgjh07Bnd3dxgbG8vdxtjYGN27d8fx48dzPZ5Ur169sH//fjRt2lThb8vY2Bg9e/bEiRMn0Lx581ydD8h4IDhz5gyWLl2KevXqKfw7s3J0dETv3r3h4+ODy5cv6+2siMWLF8fWrVuxY8cOtGrVKtsHADMzM7Ru3RqrVq2SCfCoQp/yc6dOnXDo0CG0a9dO6QNSuXLl8Ouvv2L37t1qDwuga+7u7jh58iR69uyptMxu3bo1/P390atXLy2nULN69OghE3Rbv369wgeqqlWr4ujRo/Dx8UGzZs1UmkjA3t4eXbt2xfLly3HlyhWZbpaKaCOvsaz6n4JUVmXq1KkTzp49i1GjRmU7ZI2LiwtmzpyJ06dPS4bH0Wf5tTyuXbs29u/fj927d6NPnz4qpcnAwACVKlXC2LFj8ffff2Pbtm2oXr26SufL6zqQu7s7/P39MXHiRNSvX1+lMtHc3Bzdu3eHn58f5s+fr1K5A2RM3nL27FlMnz4drVu3hpOTEywsLOQGVZVxdXXF8ePHMX/+fKWtRYGMcsTLywtnz56Fp6enWufJj7T5PEBEqhGJ2a6YSGVJSUm4c+cOXr58iejoaJiZmcHBwQF16tTRaEuJqKgotGjRQtA6w8/PT2YmP1IsLS0Njx49wtu3bxEZGYno6GhJV7uSJUvC2dkZTk5O2b6Zzk50dDRu3ryJT58+ISoqChYWFihXrhzq1asnU9Fp06aNYOzP8+fPK2yho0hYWBhu3ryJL1++IDY2FmZmZqhQoYLc82lSQkIC7t27h0+fPklaQpmZmcHCwgJOTk5wcXHJt7OqJycn4969ewgJCRH8bfb29qhQoQIqVaoEExOTHB9fX/NzZGQkbt26hQ8fPiA2NhampqZwcHBAlSpV4OLiotO0aUpCQgJu3LiBjx8/IiIiAkWLFoWTkxPq1q0LW1tbXSdPLyQnJ+P+/fv48OEDIiMjERMTgyJFisDCwgKlS5eGs7NzjsYnVnSuvMxrAMuqglhWZfXixQs8e/YM4eHhiI2NhZWVFezs7FC9enWFk3jkB/m9PH779i1evHiBjx8/Srr2WlpawsrKCqVLl0bVqlVhbm6e6/Noow6UkpKC169f4+3bt/j8+TPi4uKQlpYGMzMzFCtWDJUqVYKLi0uuyypN+vLlC4KCgvD161dERkbCzMwMtra2cHFxgZubm96Na6pN2noeICLFGHQk0kPbt28XzMBYrVq1HM+ATPpDE0FHyn+Yn4koP2BZRURERJrGkD6RnklPT8fevXsF63IzKQ0R6Q7zMxHlByyriIiIKC8w6EikZ44dO4bg4GDJcrFixdCtWzfdJYiIcoz5mYjyA5ZVRERElBcYdCTSI69fv8aSJUsE64YOHSp3pmQi0m/Mz0SUH7CsIiIiorxipOsEEBVWnz9/xoULFwAAcXFxePHiBU6cOIHk5GTJNsWLF8fQoUN1lUQiUhHzMxHlByyriIiISJsYdCTSkeDgYMydO1fpNvPnz4eZmZl2EkREOcb8TET5AcsqIiIi0iYGHYn0kKGhIaZPn442bdroOilElEvMz0SUH7CsIiIiIk1j0JFIT5iYmKBkyZJo2LAhBg8ejCpVqug6SUSUQ8zPRJQfsKwiIiKivCQSi8ViXSeCiIiIiIiIiIiICg62dCQiAEBkZCQCAwPx6dMnxMbGokSJEnByckLdunVhYMCJ7omIiIiIiIhIdQw6EhVywcHBWL58OQICApCSkiLzeYkSJdCvXz+MGjUKJiYmOkghEREREREREeU37F5NVIgdO3YMc+bMQXx8fLbbVqtWDd7e3nB0dNRCyoiIiIiIiIgoP2PQkaiQunTpEsaMGYO0tDTJuvLly6NRo0awsbHB27dvERAQgMTERMnnrq6u2Lt3LywsLHSRZCIiIiIiIiLKJxh0JCqEQkND0alTJ8TExAAARCIRpk+fjqFDhwrGbwwPD8ekSZNw48YNybquXbti+fLlWk8zEREREREREeUfnB2CqBDasGGDJOAIABMnTsS3334rM2GMra0ttmzZAhcXF8m6EydO4MmTJ1pLKxERERERERHlP2zpSFTIhIWFoVWrVkhOTgYAlC1bFidPnoSxsbHCfa5du4Zhw4ZJljt06IA1a9aofe52Rv1V2s7e0RZ73/gAAAaUG4evIeGqn0Scrna61MZiU6PsHW2x991GAMCAMqPVu96U7/B6Fx681oULr3fhwutdMJxN99N1ErQu/ZOrrpMgw6DkM10ngSjPsKUjUSFz/vx5ScARAPr27as04AgATZo0QYUKFSTL//zzDxISEvIsjURERERERESUvzHoSFTIXLhwQbDcsWNHlfbLul1iYiKuXLmi0XQRERERERERUcHBoCNRIXPr1i3J/9vb26NMmTIq7VenTh3B8s2bNzWaLiIiIiIioryUrof/ERVkDDoSFSJfvnwRTCBTpUoVlfetWrWqYPnly5caSxcRERERERERFSwMOhIVIq9evRIsly5dWuV97e3tBWM/Sh+LiIiIiIiIiCiTka4TQETa8/nzZ8Gyg4ODyvuKRCI4ODjg/fv3co9FRERERESkz9LE+tedmUEZKsjY0pGoEImLixMsm5ubq7V/1u1TU1MFs2ATEREREREREWViUJ2oEElISBAsm5qaqrW/9PZxcXEwMTFReX97R1uVtrMtaSP3/1WijbeXYnHen6MQydX1pnyH17vw4LUuXHi9Cxde7/zva0i4rpNARIUAg45EhUhiYqJgWZ2Aobztk5KS1Np/7xsftbYHgHXXF6m9D+Vf624u1XUSSIt4vQsPXuvChde7cOH1zp/aGXjqOgk6kQ42HiDSJnavJipEpFsqpqSkqLW/dHdqdYOWRERERERERFQ4sKUjUSFiZmYmWJZu+Zgd6ZaN6o4JOaDcOJW2sy1pI2nhOL7RLIR/ilT9JOxene/YlrSRtJIY32C6eteb8h1e78KD17pw4fUuXHi9iYhIFQw6EhUi0kHH+Ph4tfbPOhGNkZGR2mNC5mTsmPBPkertx6Bjvqb29aZ8jde78OC1Llx4vQsXXm/KT9Khf7NXExVk7F5NVIg4ODgIlj99+qTyvmKxGJ8/f1Z4LCIiIiIiIiKiTAw6EhUizs7OguUPHz6ovO/Xr18FY0BWqFBBY+kiIiIiIiIiooKF3auJChEHBwdYWloiJiYGAPD48WOV93306JFg2cXFRaNpIyIiIiIiyktpHCaJSKvY0pGokKlXr57k/79+/Yp3796ptF9gYKBguUGDBhpNFxEREREREREVHAw6EhUybdq0ESyfOnVKpf3OnDkj+X9TU1N88803Gk0XERERERERERUcDDoSFTJt27aFsbGxZNnPz08wVqM8165dw+vXryXLLVu2lJkJW2+IDPL+HxERERER5TvpEOvdP6KCjE/PRIWMvb09PD09Jctv377Fpk2bFG6flJSEBQsWSJZFIhHGjh2bp2kkIiIiIiIiovyNQUeiQmjMmDEwNzeXLHt7e2P79u1IT08XbBceHo4RI0bgxYsXknWdO3dG1apVtZZWIiIiIiIiTUiDWO/+ERVknL2aqBBycHDAihUrMHbsWKSnp0MsFmPx4sXYu3cvGjduDBsbG7x58wYBAQFITEyU7FexYkXMnz9fhyknIiIiIiIiovyAQUeiQqpVq1ZYvHgx5s6di4SEBABAcHAwgoOD5W5fpUoVrF27FhYWFlpMJRERERERERHlR+xeTVSIeXh4wN/fH+7u7oLJZbIqXrw4xo8fjwMHDsDJyUnLKSQiIiIiItIMXU8aw4lkqLBhS0eiQs7Z2Rnr1q1DREQEAgMD8enTJ8TFxcHe3h5lypRB3bp1YWhoqOtkEhEREREREVE+wqAjEQEAihUrhrZt2+o6GURERERERERUADDoSEREREREREQFXpqY3ZmJtIljOhIREREREREREZFGMehIREREREREREREGsXu1URERERERERU4KXrOgFEhQxbOhIREREREREREZFGMehIREREREREREREGsXu1URERERERERU4KWBs1cTaRNbOhIREREREREREZFGMehIREREREREREREGsXu1URERERERERU4KWxdzWRVrGlIxEREREREREREWkUWzoSEalLJMrb44v5CpaIiIiIiIjyNwYdiYiIiIiIiKjAS9d1AogKGXavJiIiIiIiIiIiIo1i0JGIiIiIiIiIiIg0it2riYiIiIiIiKjAS0Mej81ORAJs6UhEREREREREREQaxaAjERERERERERERaRS7VxMRERERERFRgZcu1nUKiAoXtnQkIiIiIiIiIiIijWLQkYiIiIiIiIiIiDSK3auJiIiIiIiIqMDj7NVE2sWWjkRERERERERERKRRbOlIRERERERERAUeWzoSaRdbOhIREREREREREZFGMehIREREREREREREGsXu1URERERERERU4KWL2b2aSJvY0pGIiIiIiIiIiIg0ii0diYiIiIiIiIgKgMjISAQGBuLTp0+IjY1FiRIl4OTkhLp168LAQHftzsLDw3H37l28e/cOcXFxMDExga2tLcqWLYsqVarA3NxcZ2mjvMOgIxEREREREREVeAV59urg4GAsX74cAQEBSElJkfm8RIkS6NevH0aNGgUTExOtpevChQvYunUrbt26BbFYLHcbAwMDVKtWDUOGDEGPHj20ljbKe+xeTUQFishAlOf/iIiIiIiI9MWxY8fQs2dP/P3333IDjgDw5csXeHt7o3///ggJCcnzNEVERGDMmDEYO3Ysbt68qTDgCADp6em4f/8+Ll68mOfpIu1iS0ciIiIiIiIionzo0qVLmDFjBtLS0iTrypcvj0aNGsHGxgZv375FQEAAEhMTAQAPHz7EmDFjsHfvXlhYWORJmj5//oyhQ4fi9evXgvXVqlVD1apVYW9vj5SUFHz69AkPHjxAcHBwnqSDdI9BRyIiIiIiIiIq8NIKWGfP0NBQTJ06VRJwFIlEmD59OoYOHSoYvzE8PByTJk3CjRs3AADPnj3DnDlzsHz5co2nKSkpCaNGjRIEHFu0aIGff/4Z5cuXl7tPcHAwjh49ipiYGI2nh3SrYOU4IiIiIiIiIqJCYMOGDYJA3cSJE/Htt9/KTBhja2uLLVu2wMXFRbLuxIkTePLkicbT5OPjIzju0KFDsXnzZoUBRyCjZeakSZMwe/ZsjaeHdItBRyIiIiIiIiKifCQsLAwHDhyQLJctWxajRo1SuL2pqSl++eUXybJYLIaPj49G0/TixQv4+vpKlps1a4ZZs2Zp9ByUv7B7NREREREREREVeOnigjMp5Pnz55GcnCxZ7tu3L4yNjZXu06RJE1SoUEHS9fmff/5BQkICihYtqpE0bdu2TTKRjYGBAQOOxJaORERERERERET5yYULFwTLHTt2VGm/rNslJibiypUrGklPXFwcTp48KVmuX7++oDs3FU4MOhIRERERERER5SO3bt2S/L+9vT3KlCmj0n516tQRLN+8eVMj6QkICEB8fLxkuUOHDho5LuVv7F5NRERERERERAVeGgpG9+ovX74IJpCpUqWKyvtWrVpVsPzy5UuNpOnu3buC5WrVqmnkuJS/MehIRERERERERJRPvHr1SrBcunRplfe1t7eHsbGxZOxF6WPl1IMHDwTLlSpVAgBERUXh+PHjOH36NN69e4fIyEhYW1ujdOnSaNKkCbp27QpnZ2eNpIH0D4OORERERERERET5xOfPnwXLDg4OKu8rEong4OCA9+/fyz1WTmVtMWlqagoLCwucP38ev/zyC8LCwgTbJiQk4NOnTwgMDMSGDRvQu3dv/PzzzyhSpIhG0kL6g0FHIiIiIiIiIirw0sQFY1qLuLg4wbK5ubla+2fdPjU1FcnJyTAxMclxetLT0wXdvc3NzXHs2DH89NNPEIvFSvdNS0vDgQMH8OTJE/j6+sLKyirH6SD9UzByHBERERERERFRIZCQkCBYNjU1VWt/6e2lg5jqio2NFQQX4+PjMWvWLIjFYhgYGKBfv37w8/PD7du3cefOHfj7+2PIkCEwMvpfO7igoCDMnDkzV+kg/cOWjkRERERERERE+URiYqJgWd1WitLbJyUl5So9WWetBv6XPmNjY6xZswZt2rQRfF6tWjVUq1YNbdu2xZgxYyTbnzt3DufOnYO7u3uu0kP6gy0diYiIiIiIiKjAS4eB3v3LCemWipmTwqgqOTlZsJybrtXK9h8zZoxMwDGrJk2aYOrUqYJ1W7ZsyVVaSL8w6EhERERERERElE+YmZkJlqVbPmZHumWjumNCZpeezHXDhg3Ldt8BAwbA1tZWsnz37l1ERETkKj2kPxh0JCIiIiIiIiLKJ6SDfNLdm7OTdQxHIyMjtceElFakSBEYGhoK1jVo0AAWFhbZ7mtiYoJmzZpJlsViMe7evZur9JD+4JiORERERERERFTgpUGk6yRohIODg2D506dPKu8rFovx+fNnhcfKqZIlSyIkJESyXKlSJZX3dXV1FSxnTR/lb2zpSERERERERESUTzg7OwuWP3z4oPK+X79+FYwBWaFCBY2kycXFRbBsbW2t8r7S20ZFRWkkTaR7bOlIRKQuUR6/rxGn5e3xiYiIiIgKoTRxwWh35eDgAEtLS8TExAAAHj9+rPK+jx49EixLBwtzqmLFirh06ZJkWXqyGmWkt81td2/SHwUjxxERERERERERFRL16tWT/P/Xr1/x7t07lfYLDAwULDdo0EAj6WnYsKFgWZ0u0tLdw4sVK6aRNJHuMehIRERERERERJSPtGnTRrB86tQplfY7c+aM5P9NTU3xzTffaCQ9TZs2FUxwIx3cVObOnTuC5apVq2okTaR7DDoSERERERERUYGXDpHe/cuptm3bwtjYWLLs5+cnGKtRnmvXruH169eS5ZYtW8rMhJ1TpqamcHd3lyy/ePFCpVmoX758idu3b0uWS5QoodYkNKTfGHQkIiIiIiIiIspH7O3t4enpKVl++/YtNm3apHD7pKQkLFiwQLIsEokwduxYhdu/f/8elStXlvyTblkpz7hx42Bk9L+pQ+bPn4+kpCSF26empmLu3LkQi8WSdUOGDMn2PJR/MOhIRERERERERJTPjBkzBubm5pJlb29vbN++Henp6YLtwsPDMWLECLx48UKyrnPnzhrvxlyhQgX069dPsvzw4UOMHDlSZsxGIGMcyvHjx+PGjRuSdY6Ojhg4cKBG00S6xdmriYiIiIiIiKjASytg7a4cHBywYsUKjB07Funp6RCLxVi8eDH27t2Lxo0bw8bGBm/evEFAQAASExMl+1WsWBHz58/PkzTNmDEDT548kXSZvn79Otq3b4+mTZuiYsWKEIlEeP36Na5cuYL4+HjJfkWLFoW3tzcsLCzyJF2kGww6EhERERERERHlQ61atcLixYsxd+5cJCQkAACCg4MRHBwsd/sqVapg7dq1eRbcMzExgY+PD6ZOnYorV64AyOjaHRAQgICAALn7FC9eHOvXr0e1atXyJE2kOwUrzE9EREREREREVIh4eHjA398f7u7ugsllsipevDjGjx+PAwcOwMnJKU/TY2NjA19fX8ybNw8VK1ZUut3o0aNx4sQJ1KhRI0/TRLrBlo5EREREREREVOCliQtuuytnZ2esW7cOERERCAwMxKdPnxAXFwd7e3uUKVMGdevWhaGhocrHc3JywtOnT3OcHpFIhP79+6N///548uQJXr58ic+fPyMtLQ3FihVDpUqVUKNGDRgYFNxrQgw6EhEREREREREVCMWKFUPbtm11nQwBNzc3uLm56ToZpAMMKRMREREREREREZFGsaUjERERERERERV46Wx3RaRVzHFERERERERERESkUQw6EhERERERERERkUaxezURERERERERFXhpYpGuk0BUqLClIxEREREREREREWkUWzoSFUJt2rRBSEhIjvb9+++/Ua5cOQ2niIiIiIiIiIgKEgYdiYiIiIiIiKjAS2NnTyKtYtCRqJATiUQwMFD95isScRyUPKeN71gszvtzEBERERERUaHFoCNRIefh4YElS5boOhlEREREREREVIAw6EhEREREREREBV66mN2ribSJOY6IiIiIiIiIiIg0ikFHIiIiIiIiIiIi0ih2ryYiIiIiIiKiAo+zVxNpF3McERERERERERERaRSDjkRERERERERERKRR7F5NVMg9efIEU6ZMwcOHDxEWFgYAsLGxgZOTExo0aAB3d3e4ubnpOJVERERERES5kyYW6ToJRIUKg45Ehdzjx4/x+PFjwbrY2Fi8f/8e//33H7y9vdGiRQvMnj0b5cqVy9W57B1tVdrOtqSN3P9Xhcgg7ysS4nRxXp8gb48PAOI8/hvUkJvrTfkPr3fhwWtduPB6Fy683vnf15BwXSeBiAoBkVisR0+eRKQVbdq0QUhIiFr7WFpaYtmyZWjVqlXeJIqIiIiIiLSinYEnzqb76ToZWvfn86a6ToKMoZWu6joJRHmGLR2JCikHBwe0bdsWTZs2ReXKlWFnZwcTExNERkbi8ePHOHfuHA4fPozk5GQAQExMDL7//nvs3LkTtWrV0nHqiYiIiIiIiEifsaUjUSF07do1NGjQAEZGyt87vHnzBhMmTMCzZ88k6xwdHXH69GmYmJiofd4B5captJ1tSRusu74IADC+0SyEf4pU+RzsXq3qOfSn6LctaYN1N5cCAMY3mK7W9ab8h9e78OC1Llx4vQsXXu/872tIOFs66gm2dKSCjC0diQqhJk2aqLRduXLlsH37dvTp0wcfPnwAAISEhMDPzw+DBg1S+7w5GTsm/FOkWvsx6KjqOfQn6JiVuteb8jde78KD17pw4fUuXHi9KT9JExvoOglEhQpzHBEpZWdnhx9++EGw7uTJkzpKDRERERERERHlBww6ElG2OnToAAsLC8ny3bt3kZCQoMMUEREREREREZE+Y9CRiLJlZGSEGjVqSJZTU1Px5csXHaaIiIiIiIhIPekQ6d0/ooKMQUciUomdnZ1gOSIiQkcpISIiIiIiIiJ9x6AjEalEuju1qampjlJCRERERERERPqOs1cTkUrevXsnWLa1tdVRSrIhyvt3KSKDvJ1dWpyWp4cnIiIiIiqUOHs1kXYxxxFRtj5+/Ijnz59Llu3s7FCiRAkdpoiIiIiIiIiI9BmDjkSULR8fH4jFYsnyN998A5GIgx4TERERERERkXzsXk1UiCQnJ+P9+/dwdnZWeZ+DBw/iwIEDkmWRSIShQ4fmRfKIiIiIiIjyTBrbXRFpFYOORIVIYmIiunbtio4dO6JXr15o3LgxjIzkFwOhoaHw8fHBnj17BOs9PDxQvXp1bSSXiIiIiIiIiPIpBh2JCpm0tDScOHECJ06cgIWFBapUqQJnZ2dYW1vD2NgYUVFRePLkCe7du4eUlBTBvvXr18f8+fN1lHIiIiIiIiIiyi8YdCQqxGJjY3Hz5k3cvHkz220HDhyI6dOnw8TERAspIyIiIiIi0qx0McelJ9ImBh2JCpEiRYpgzJgxuH79Oh4+fIjk5GSl25uZmcHd3R1eXl6oUaOGllJJRERERERERPkdg45EhYiJiQmmTJkCAEhNTcXr16/x9u1bfPr0CXFxcUhNTYWlpSWsrKxQqVIlVK5cGYaGhjpONRERERERERHlNww6EhVSRkZGqFSpEipVqqTrpBAREREREeU5zl5NpF3McURERERERERERKRRDDoSERERERERERGRRrF7NREREREREREVeOlitrsi0ibmOCIiIiIiIiIiItIoBh2JiIiIiIiIiIhIo9i9moiIiIiIiIgKvDSIdJ0EokKFLR2JiIiIiIiIiIhIoxh0JCIiIiIiIiIiIo1i92oiIiIiIiIiKvA4ezWRdjHoSESkb0RaqAyJ0/L+HERERERERFRoMehIRERERERERAUeJ5Ih0i62LSYiIiIiIiIiIiKNYtCRiIiIiIiIiIiINIrdq4mIiIiIiIiowONEMkTaxRxHREREREREREREGsWgIxEREREREREREWkUu1cTERERERERUYGXxu7VRFrFHEdEREREREREREQaxaAjERERERERERERaRS7VxMRERERERFRgZcOka6TQFSosKUjERERERERERERaRSDjkRERERERERERKRR7F5NRERERERERAUeZ68m0i7mOCIiIiIiIiIiItIoBh2JiIiIiIiIiIhIo9i9moiIiIiIiIgKvHQxZ68m0ia2dCQiIiIiIiIiIiKNYtCRiIiIiIiIiIiINIrdq4mI1CXK6/c1aXl8fAAiLXQtEYvz/hxERERERCpKY7srIq1ijiMiIiIiIiIiIiKNYtCRiIiIiIiIiIiINIrdq4mIiIiIiIiowOPs1UTaxZaOREREREREREREpFEMOhIREREREREREZFGsXs1ERERERERERV46Wx3RaRVzHFERERERERERESkUQw6EhERERERERERkUaxezUR/R979x1eRZX/cfwzuanUJARCCxB6EaQIiGVRQEWsqIgdEERAkRVdhV1RF12xLKhUV0VB/ckKLrKilFWqCgpIFZDeIaGEEBISUu78/mAzmxsI3Jvclsn79Tz3Yc7kzDnfySQ35JtTAAAAAMD28ti9GvArRjrCVv75z38qIyMj0GEAAAAAAACUaSQdYSsvv/yyrrnmGr3wwgvasGFDoMMBAAAAAAQJp2kE3QuwM5KOsJ2srCz961//0n333afbbrtNn332mdLS0gIdFgAAAAAAQJlB0hG2ZZqmduzYob/97W+69tpr9dxzz2n16tWBDgsAAAAAAMD2SDrCVvr06aPKlSvLNE1JkmEYMk1TZ8+e1dy5c/XII4+oe/fu+uijj5SSkhLgaAEAAAAA/uI0Q4LuBdgZu1fDVkaOHKlnnnlG3333nWbNmqVffvlF0rnko3Ru9OPevXv11ltv6e2331bXrl3Vq1cvXX311YEMGwAAAACAEktNTdXatWuVlJSk9PR0VatWTbVr11bbtm0VEkKSE/5F0hG2Ex4erltuuUW33HKLDhw4oFmzZumrr77SsWPHJP1v9GNOTo4WLlyohQsXqlatWurVq5d69uypatWqBfgOAAAAAABw3969ezV27FgtWbJEOTk55328WrVq6t27twYOHKjw8HCfxPDwww9r1apVxbr2448/1lVXXeXliBBopLlhawkJCRo+fLiWLl2qiRMn6rrrrrP+ulNw9OPBgwf1zjvvqEuXLnriiSe0bNkya4o2AAAAAKD0y5MRdC9v+Prrr9WzZ0/95z//uWDCUZKOHj2qCRMm6L777tOhQ4e80i9wKYx0RJngcDjUrVs3devWTcnJyfryyy/1r3/9S4cPH5b0v9GPubm5Wrx4sRYvXqz4+Hjdfffduvvuu1WzZs0A3wEAAAAAAK6WL1+uESNGKC8vzzpXr149dezYUdHR0dq/f7+WLFmirKwsSdLmzZs1aNAgzZgxQxUqVPBpbA6Hw+26+YOCYC8kHVHmxMfH64knntCQIUP0008/aebMmVq8eLFyc3NdRj8mJSVp8uTJmjJliq666ir17t1bXbp08eiNEzYV4tsfiIbp+x+4Zt6l6wAAAAAIXseOHdPw4cOthKNhGHr++efVp08fl/UbU1JSNGzYMGvq8/bt2/XSSy9p7NixPoutQ4cO+vTTT33WPkoHplejzDIMQ9dcc43Gjx+v5cuX69lnn1W9evVkmqYMw7BGPzqdTv3000966qmn1LlzZ7399tvWCEkAAAAAQOngNI2ge5XEe++9p9OnT1vloUOHql+/fudtGBMbG6sPP/xQDRo0sM59++23+v3330vUP3ApJB0BnXsTHjBggL755hv169fPWs8xP/konRv9ePz4cb3//vu64YYb9PTTT2vnzp2BDBsAAAAAUAadOHFCM2fOtMp16tTRwIEDi6wfERGhUaNGWWXTNDV58mSfxgiQdAQkHT58WOPHj1fXrl01bdq089aTKJiElKS8vDwtWLBAd955p/7+97+7rJ8BAAAAAIAvLVq0SNnZ2Vb53nvvVVhY2EWv6dSpkxITE63ysmXLlJmZ6bMYAdZ0RJmVl5enRYsWaebMmVqxYoVM03RJLuYf16tXT3fddZd27dqlhQsXKisry0o+5ubmaurUqdq7d68mTpwYsHsBAAAAAFyc07TPuKvFixe7lLt37+7Wdd27d9eUKVMkSVlZWfrpp5/UrVs3r8cHSCQdUQbt27dPs2bN0pw5c3TixAlJOm8dR4fDoRtuuEH33XefOnbsaF37wgsvaM6cOZo+fboOHjxo1V+0aJG++eYb3XrrrYG6LQAAAABAGbFmzRrrOC4uTgkJCW5d16ZNG5fy6tWrSTrCZ0g6okzIzs7WwoULNXPmTOvNufCUadM0Vbt2bd1777265557FBsbe147FStW1MMPP6z7779fU6ZM0aRJk6zrZ8+eTdIRAAAAAOBTR48eddlAplmzZm5f27x5c5fyrl27vBYXUBhJR9jajh07NHPmTH399ddKS0uTdOFRjdddd53uu+8+XXPNNW61GxoaqqFDh2r79u367rvvJElbtmzx2X0AAAAAAErGqZLtFh0sdu/e7VKuWbOm29fGxcUpLCxMOTk5F2zLWw4fPqznn39emzZt0rFjx5Sbm6uYmBjFx8friiuu0HXXXad27dr5pG8ED5KOsJ2srCx9++23mjVrljZs2CDpwqMaa9SooXvuuUe9evVStWrVitVX165draRjwb80AQAAAADgC8nJyS7l+Ph4t681DEPx8fE6ePDgBdvyloMHD1p95Dtz5owOHTqktWvX6v3331ebNm30l7/8RS1btvRJDAg8ko6wlRdffFHz5s1TRkaGpPNHNRqGoc6dO6t3797q3LmzQkJKtpBwwWSl0+ksUVsAAAAAAFxK/u+7+cqXL+/R9QXr5+bmKjs7W+Hh4V6JzRPr1q3T/fffr5deekm9evXye//wPZKOsJWZM2e6JBilc4nHqlWr6u6771bv3r1Vo0YNr/WX3wcAAAAAILjlmfb4/S0zM9OlHBER4dH1hetnZGR4LekYHR2tLl266Nprr1WTJk0UHx+vyMhIpaWlaceOHVq6dKlmzpyp9PR0SVJOTo5efPFFxcTEsKGNDZF0hK1dffXV6t27t7p27SqHw+H19mvXrq0nn3zS6+0CAAAAAHAhWVlZLmVPE4aF6589e7bEMUnSU089pVatWl0wCRobG6uOHTuqY8eO6t+/v55++mmtWrVK0rlZg88//7y+//57xcTEeCUWBAeSjrCdmJgY3XXXXerdu7cSEhJ82ldCQgJJRwAAAACA3xRO6uVvCuOu7Oxsl7K3Rjm2b9/erXpxcXF6//339cADD1gbsqanp+uDDz7Qc88955VYEBxKtqAdEGTGjRunZcuW6dlnn/V5whEAAAAAUHo4zZCgexVHuXLlXMqFRz5eSuGRjZ6uCekNUVFReumll1zOzZs3z+9xwLdIOsJWevToobCwsECHAQAAAACATxROOp45c8aj6wtuRBMaGurxmpDe0rp1azVs2NAqHzlyRHv37g1ILPANplcDUHJysjZu3Kjk5GRlZmYqPj5eiYmJatmyZaBDAwAAAAAUEB8f71JOSkpy+1rTNJWcnFxkW/7WunVr7dy50yofPnxY9erVC1xA8CqSjkCQysjI0JYtW7Rx40Zt3LhRmzZt0qFDh6yP16pVS4sXLy5RHxs3btS7776rFStWyOl0nvfxunXr6uGHH9ZDDz3ETt0AAAAASjWnTXavrl+/vkv58OHDbl97/PhxlzUgExMTvRZXcVSpUsWlfPLkyQBFAl8g6QhbOXbsmMaNG2eV77//frVq1crjdjZs2KB//vOfVvn5559XdHS0N0K8pI8//lizZ8/Wzp07L5gI9JapU6dq3Lhxys3NLbLOvn379Oqrr2rJkiV6++23VblyZZ/FAwAAAAC4tPj4eFWsWFGnT5+WJG3dutXta/M3bsnXoEEDr8bmqczMTJdyoKZ6wzdIOsJWvvjiC3311VcyDEMxMTF6+eWXi9VO48aNtWTJEp06dUqS1KhRIz366KNejLRoq1ev1vbt233ax8yZM/Xmm2+6nGvWrJnatWunqKgo7dq1S8uXL7cSkj/99JOGDRumDz/8UKGhvG0AAAAAQCC1a9dOS5culXRu9OKBAwfc2kx17dq1LmV3d5z2lQMHDriUY2NjAxQJfIGNZGAr8+fPt45vv/32Yv+VJCoqSrfffrtM05R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", 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evRr9+vVT+1hZceTIETRr1gze3t6Z5vPjx49YvHgxWrdurfS3kiclJQXTpk3DwIEDFQYcASAiIgJr1qyBp6enYJIJfapXr57MxVR6ZrHcJDExEb/99hvGjRuntCv5s2fPMHDgQOzcuVOw/MuXL+jRowf+/vtvuQFHIK2uuXr1Kn766SfcvXs3S/ldvXo1+vTpg1u3bil8YxkZGYndu3ejbdu2uHnzptrHiIuLw8SJE+Hp6YlTp04pvPEB0t7G3r59GwMGDMCvv/6qtK7JTGhoKPr06YPp06erVI9oy+nTp9GiRQusW7dOacARSGsFOX/+fLRu3VrSIphIXZcuXUKbNm2wZ8+eTAMO0nR1HdOH1NRUmWWGOnu1v78/2rZtiw0bNsgNOCpz9epVtGzZEtOnT4e/v3+m911fvnzBvn370L17d5XvWdM9ffoUHTp0wObNmxUGHAHgyZMn+OWXXwRB+cz8888/6NixI9asWYOHDx9m+j2SkpJw6dIl9O3bF5MmTRJMXJKZ9+/fo1OnTpg7d65KAUcg7eXOgQMHMHfuXJWPo4vytWrVKnTu3BnHjx9XqfzHx8fjzp07mD9/Pu7cuaPycXRNLBZjyZIlaNeuHY4dO6b03iElJQV3797FiBEj0K9fP4UPzao6ePAgOnTogBMnTsgNOJLhiI+Px5gxYzB+/Hil990RERFYtmwZ+vbti7CwMB3mUPf0WXZI6PTp0+jYsSPOnDkjN+AIpD1nrVixAr/88ougDheLxVi0aBH69++PO3fuKHxO+/z5M3777TfMmzdP7fwlJydj4cKFaNOmDQ4cOKD09xeLxXj06BHGjBmDPn36GHw5yjVBRwCYNWsWXF1dJenv379j3LhxSEpKUrrdx48fMWXKFMGyNm3aoE+fPmodf+7cudi7d69gmYmJicJm0h8+fMCAAQPUagH2+vVrdO/eHZcvX5b7uZWVldzjicVi7Nq1CyNHjlRYyKQlJCRgwoQJWLRokcIbJysrK9ja2ur1wUEsFmPp0qWYOHGi3IcDY2NjODg4yO2+8vnzZ/Tr10/l4E1KSgr++OMP7N+/X+7nFhYWMjMCvn37FgMGDJB0Rde38ePHC9LXr18XvKnMLcRiMf744w8cP35csNzS0hLW1tYy66empmLOnDmSshUWFoa+ffvi6dOngvVsbW3lvpWNjY3FsGHDFAYnM7Np0yYsX75ccBEzMjKCvb293PIVGhqKYcOGqRV4DAkJQZ8+fXDkyBG5F0tzc3OFxzt79iy8vLyUPtgqEhMTg59//hn3798XLDc1NYWtra3a+1PV9u3bMW7cOIX1gqLvGhQUhP79+yusZ4kUuXHjBkaNGiVTTmxsbJR2PdXldUxfpG+eRSKRVlp1advz58/x888/y9TlVlZWmc74u2XLFgwdOlThCw4zMzM4ODgo7FaoTve4Z8+eoX///vj8+bNguaJrFJDWGvjAgQMq7V96UoKMrKysFJ6PQFoLm+HDh8sNNEsLCwtDnz59EBgYqPBY+fLly1JrXl2Vr3Xr1mHFihVyA7QmJiawt7eHvb19jutWmpycjAkTJmDdunVynyHMzMxgY2Mjd9vbt2+jZ8+eGr98P3z4MP7880+ZYKOdnV22d0sn9aSkpGDkyJE4c+aMYLmZmZnCZ+FHjx5h9OjRubZrsD7LDglduHABEyZMEIx9aWJiAgcHB7nD3t2+fRt//vmnJD137lxs2rRJcK6am5srPLe3bduGXbt2qZy/6OhoDBs2DJs3b5Ybu1J2/3D37l307NkTX758Ufl4upZrulcDgLW1NZYvX47u3btLTqiHDx9i0aJFgpMmo8TERIwdOxbfv3+XLCtZsiTmzJmj1rGvXr0qaRljamoKLy8vdO7cGW5ubjAyMkJCQgJu3ryJzZs3CwZPDw8Px6hRo3Ds2LFMu+CGh4dj4MCBghtMExMTtG3bFp6enqhataqk4kpISMC9e/ewc+dOXLhwQbK+r68vli1bht9++y3T7zR9+nScOHFCsMzc3Bzdu3dHixYtULVqVclNYEpKCl6/fo2HDx/i3LlzuH79usz+HBwcMGPGDAD/e8OV8bOxY8cqzY+irqSbNm3C2rVrBctKliyJPn36oEGDBnB1dZUEFj58+IBz585h06ZN+PbtG4C0YNHYsWNx7NixTMfm27Rpk8zfpECBAhg+fDhatmyJQoUKAUi7ib548SLWrFmDjx8/4uPHj5g9e7bSfetKtWrV0KRJE/j6+kqWLV26FHv27NFjrrRv79698Pf3BwC4urpi6NChaNSokWQMrtDQUBw9ehTe3t6SoLpYLMbMmTNx5swZjB8/XnKhb9CgAby8vODh4SEpp69fv8a2bdsELxqioqKwcOFCLF68WK28vnjxQhIcFYlE6NatG7p164aKFSvC2NgYSUlJ8PPzw65du3D27FnJdulvlE+ePImCBQsqPUZiYiKGDh2KJ0+eSJaJRCI0adIEXbt2Rc2aNSVlLCkpCf7+/ti/fz+OHTsmeXD09/fHtGnTsHTpUrW+35IlSyRvvF1cXDB48GA0btxYUt7i4uJw7949rd50Xr16FfPmzRPs09jYGD179sRPP/2E8uXLC/62e/bswenTpyXrxsXFYezYsTh8+LDMBBgAJHUZoF59Vq1atSx+s9wj/boFpLVAythy3NPTU+nfKuMLRkMRExOD33//XXKz2Lx5c/To0QMeHh6Sa+W3b99w9uxZmeCVLq9j+iLdM6BQoUIGGXyZMGGCJGjs4eEBLy8v1KtXT3J/FRERAV9fX5k618fHR253rxYtWki6AGe8j/n06RMeP34MX19fXLhwQXAfmpn4+HiMHj0akZGREIlEaN26Nbp3746aNWtKgtsfPnzA4cOHsXHjRkGrwwULFqBFixYqD89RrFgxNG7cWDLmrouLi+B3+/DhA/777z/s2bNHcH25fv061q5dixEjRijd/7JlywQBXiMjI3h6eqJTp06oVKmS4IE8ISEBgYGBePLkCa5cuYKrV6+q9B10Ub6CgoLg7e0tWFaiRAkMGDAADRo0QLFixQR/t+DgYLx48QK3bt2Cr68vXr16pdJ3UUXG+20g7eX31q1bJemSJUsKhtrJSN71bsWKFTh58qRgmZ2dHYYMGYI2bdpIumlGR0fj6tWr2LBhg+BceP/+PUaMGIFDhw6pNSb1p0+fMHPmTAD/Oy+6dOmCqlWrwszMDGKxGJ8+fZLJG+nHihUrJC+XXV1dMWjQIPz444+SZ6OYmBhcuXIFy5YtE7Q0vnv3Lg4ePIhu3bppJR8Zz/2M/y8vLU3e+Z8V2Vl2SpYsKfg+Dx48wJEjRyTpatWqwdPTU26+sjI8U0709etXTJo0CSkpKbCwsICXlxfat2+PsmXLQiQSITExEf/99x+WLFmCgIAAyXanTp1Ct27d8PXrV0n3bCcnJwwdOhRNmzZFkSJFAKQ9/505cwZLliwRtDhcsmQJ2rRpk+n4z2KxGBMmTJC5pnl4eKBnz56oXbu2pBylpqbi6dOnOHr0KPbu3St5IfPu3TuMGzcOO3fuNMh7q1wVdATSxmqYNm2aIMi4fft21K5dGy1btpRZf9GiRXj06JEkbW5ujmXLlil866BIesDRwcEBW7duRYUKFQSfm5ubo3HjxmjUqBFWrVoluDF5//49li5dKtPaUtqkSZMEAcdixYph+fLlqFy5ssy65ubmqF+/PurXr48jR47gzz//lLxh2bhxI1q2bKl0HL8DBw7IjANRsWJFrFq1SlLAMjI2NkaZMmVQpkwZdO3aFcHBwTKVrI2NDXr16gUgrXVpxod0a2tryWfquH//vkwAZMCAAZgwYYLcGxsXFxcMHDgQnp6eGDlyJPz8/ACkPUT89ddfWLduncJjvX37VqZrUpUqVbBhwwaZytvR0RFdu3ZF27ZtMWbMGFy5csWgumuOHTsWly5dkgRk/Pz8cOnSJTRu3Fi/GdOi9IBj+/btsWDBApk34vnz58fAgQNRpUoVeHl5SVomBAUFYcyYMbh58yaMjIwwdepUua2eS5UqhZkzZ6Jw4cKCc/ns2bP4888/VZpgIF36DYa5uTnWrFmDH374QfC5qakp6tSpgzp16uDgwYOYOnWq5Lf7/v07ZsyYkemEQPPnzxfcyDg4OGDx4sVyx/gyNTVFzZo1UbNmTXTo0AG//vorYmJiAKRdgFu1aqXW+CHpAcfWrVvj77//limblpaWao81pkxkZCQmT54sCDja2Nhgw4YNqFGjhmDdjH/bZs2aYeLEiZJzITY2FhMmTMDBgwdlWkRmrK+0VZ/lNXXr1kXdunUBpF1DMwal6tSpk+PG6EpvQWVqaoqFCxeiXbt2MusUKFBApj7R5XVMX27fvi3TnTW7xs3KqvT6auLEiRg4cKDM5w4ODujcubNg2fPnz2UeZvPlywdvb2+F4xsWLVoURYsWRcuWLREXF4cDBw6oPP5zaGgoQkNDYWVlhSVLlqBJkyYy67i4uODXX39FrVq1MGjQIEm9Fh0djaNHj6J///5Kj1GjRg20bNky07rZxcUFLi4u+Omnn7B69WrB/e3GjRvh5eWl8J46MTFR5l5x2bJlaNWqldz1zc3N4e7uDnd3d3Tr1g3fv3/PtAWirsrXyZMnBa1TqlWrhi1btihsHevk5AQnJyc0bNgQv/32G+7evYt8+fIp/S6qyni/DaSNQZYx6FioUCGVr1H37t3Dhg0bBMvKli2LTZs2SR6CMx63TZs2aNmyJebNmycYsubFixdYsmQJJk2apPL3+PjxI4C0a+qaNWtk6gyRSIRixYphyJAhKu+Tsk96wLFr166YOXOmzGSa1tbWaNOmDX744Qf069dPMMTYrl27tBZ0zHhuS9fLurw3y+6y4+TkJPg+5ubmgqCjq6sr70X/X/r9R5EiRbBp0ya4ubkJPjczM8OPP/6IWrVqoW/fvoLnJW9vb7x+/RoAUL9+fXh7e8tc02xtbdGtWzfUqFED3bp1kzwzRUdH49ixYwpf8qTbtGkTLl26JEmbm5tj9uzZ6NSpk8y6RkZGqFSpEipVqgRPT08MHToUISEhANKe57du3YpffvlFpb+LLum8e3X64MWa/ssYfVaka9euMpH9KVOmyDRPPnv2rMzg+H/++adMwFBVIpEIq1atUrq9SCTCqFGjZB6m9uzZo7Qv/o0bNwQnY3pwU17AUZqnp6egZaNYLMbGjRsVrp+QkCAzzl+FChWwc+dOuQFHeZycnOTerGvbokWLBM3Vvby8MHny5EzfpDo6OmLNmjWCiW4uXbqkdCyhTZs2CVoLFCxYUG7AMSMrKyt4e3ujdOnSKnwb3Slfvjzatm0rWLZs2bJc172hevXqWLRokdIuOLVq1ZJ5gEyfDGLIkCGZDrMwZMgQlChRQpJOSkoStC5Wx9y5c2UCjtK6du2KUaNGCZadP39e6TANb968EbTINDU1xYYNG1QK9DVo0ECm9Y70TZQqqlatiiVLlmh15m1F9u3bJ7kAp/P29pYJOErr0KEDJk6cKFj2+PHjHNPNeuXKlWpfU318fPSd7Vxn8uTJcgOOiujyOqYPMTExktZKGbVo0UIPuVHNwIED1bqHWbZsmeD+wMrKCrt27VJ5QhVLS0t4eXmpPRPlvHnz5AYcM6pfvz569uwpWCbd/VEeT09PtV4GGRkZydzfxsTE4OjRowq3+fDhg2AogmrVqikMOMpjb2+f6QswXZUv6aFYRo0alWl3/Ixq1aol8yBsCNauXSvoJp8vXz5s3rxZJmiSkbGxMaZOnSpTxjN71lFk8eLFBvuSgoSaNGmCOXPmyAQcM7Kzs5PpURgQEIB3795ld/Z0yhDKDv2Pqakp1q5dq7SetbKykmkE5ufnh4iICJQsWRKrVq1S2jDNzc1N5t4hYw81eb5//y7TcGTJkiVyA47S0huEZSxvW7duNcixb3PVmI4ZzZgxA2XKlJGko6KiMGbMGMmP8P79e5mTqn379ujRo4fGx/T09EStWrVUWvePP/4QjGWWmJiIQ4cOKVxfOkg4btw4FC9eXOW89evXDy4uLpL0uXPnFFZehw4dknQpAdK6cC9evFitmydd8PPzk7yBBtJafqrSbTydg4ODTPBG0ViN0dHRMt2qx48fr1LzdAsLC0ydOlXlfOnK6NGjBZVUQECAoHtpbjBt2jSVmpjLm2GsQIECGDlyZKbbGhsbywQYNJnUwcPDQ+WZzoYMGSIozwCUdo/fvHmz4Mbn559/VmvG8pYtWwpmB338+LHgLaAq/vrrL500909NTcXu3bsFyzp27Ij69eurtH2/fv1kJhBTd+ZmyrvKli2L3r17q7y+Lq9j+vDs2TP07t1bputouXLlDDbo6OjoiDFjxqi8/suXLwXDlQBpgefsDiA1aNAAbdq0UWld6XvbZ8+eqTTeoiYGDRokSGccUkiadJdybc+mqsvyJT0GZk6aGVaRd+/eyXT3mzBhQqbDuQBpjSymTZsmaL0bHx+v8pii6Zo0aZJpYJ0Mg4mJCf766y+VxvmvXLmyzL2WuveVhswQyg4J9ezZE+XLl890vVq1agleNqX7/fffVYqFSAcLM7veSk862K5dOzRv3jzT46SrWrWq4Pnx69evgoZqhiLXBh0tLS2xfPlywcnx5MkTzJ8/H4mJiRgzZozg7aqrqytmzZqVpWOq86CRL18+mZZm6a2rpIWFheHGjRuStK2trUzLrMyYmJgI3ganpqbi3r17cteVjsi3aNHCIN++SnfJ6dGjh9KB+uVp2bKlIPCmaEKV//77T1Ah2NvbC2ZLz0y9evUMbgwyV1dXmRbB3t7eGs1wbogqVqyo8uzzlSpVklnWsWNHlVvlSbc4Tm+Grw516g8zMzN0795dsExR/ZGamioIJhsZGaFv375q50+6vlJnls2KFSvK/Rtnh5cvX8pM4tCvXz+Vt5f397l165ZaM7FS3tW9e3e1JlbT5XVM2x4/fow9e/bI/Nu6dSv++ecf9O7dG56enoIudEBaS4J58+YZ7MzVnTp1UmvSkn///VfQS8DJyUknQwOo022ubNmygtYZsbGxMhPQaIubm5vgWNJjeWYkPQD/kydPtBoM1WX5kp4ULSfMKJ+ZK1euCM5tBwcHlVrfpHNycpJpiapuzwHpex0yXI0aNULRokVVXl+694km986GyhDKDgmp031f+pklf/78aNq0qUrburi4CBolxcbGKpxcDpC9TqnzzJJO+hnNECeI1fmYjsoGL1ZF4cKFVV7Xzc0NM2bMwB9//CFZtnv3bgQEBAi6QVhYWGD58uVyZ7RVVcGCBdVqOQSkDTK/b98+Sfrp06dISkqS6Qp69+5dQcXl4eGh9k0TALi7uwvS9+/fl2lpkJiYKHOD2LFjR7WPpQvSBerHH39Uex82NjYoUaKEZNbEly9fIiYmRuZcSB8fMF3Dhg3V7ibavHlzjbqlZqeRI0fi2LFjkhbAr1+/xpEjR/DTTz/pOWdZp2qrYyDtPLC3txe0ulBne+mbLGWzfspjbGys9niazZo1E0xYExwcjC9fvsjUkQEBAYiKipKky5Ytq9FEE9IB3Pv376tcl+uyW5T0DNlFihRRu25u2bIlpkyZIql3k5KS8OjRI7XOCX1o3Lix2ucRJ7bRLnXPdV1ex7Tt0qVLar9Nt7e3x5IlS3T2EkITWf0N27Ztq7RrobaoUx+JRCI4OzsLAsAZrwuqSkxMxOvXr/H582fExMQgNjZW4UzN6b5+/YrU1FS5s4O6urrC1tZWkpc3b95g6tSpmDJlitpjq8ujy/JVpUoVQbf1+fPno1ChQjm6W7D09bRRo0Zq3/u2atVKMEb848ePkZiYqNJ+RCKRoJcFGTZ1fyvp1sDq3jsbMn2XHRKyt7dH2bJlVV5feji5GjVqyL2GKds+fZxvQPH1Njw8XDKONJD28qp69eoqHyed9DOaspd9+qLzoKM6gxdrQ6dOnXDnzh1Bk2TpimDatGkoV65clo6jaosqZdvEx8fj7du3gm7hgOyJExcXp9FMw+k3TOmkxzwD0oJOGaeSBwzzoTQ2NlZQSIG0m0tNClnGcQ9SU1MRGhoqczMp3VJDOoCrCk22yW5FixZFjx49BN1HV61ahQ4dOuT4i5o6b1uBtNbRGYOO8prWKyLd3D59AGFVlSpVSuUJBNK5urrCyspK0AL32bNnMkFH6TJhZGSkUf0RGhoqSMurPxRR50KfVdJjW2oS3LCxsUHJkiXx5s0bwX4NPehYqVIlDhquRyYmJmr1CtD1dUyfjI2N0bx5c0yZMkWtl8f6oG59JT2WnyYPDOqysbFRe/ZR6fMhY28fZSIiInDkyBGcOnUKT548EYyPqAqxWIyoqCjY29vLfGZsbIxu3bph8+bNkmWHDh3Cv//+i9atW6Nx48aoXbu23G0zo+vy1alTJ3h7eyMuLg5A2jXTy8sLVapUQevWrfHDDz+gXLlyBtvCVx5tXE+lt0lISMC7d+9knnXkKVq0qFaCz6Qb6tw3A5rXSTmBvssOCRUpUkStulf6mUzdZ0pVnwv9/f0FDctsbW01ekaT7iGgzjOaruS62avlmTZtGvz9/eVOtODp6YmuXbtm+RjqnoxAWlNdCwsLQZAvY1Q8nfTD/o0bNwTdrTUlPZYOAJlxHm1tbdWahVdXQkNDZSY9mTdvnlb2HRERITNepvTvosnvbajj+wwbNgyHDh2SBK+CgoKwf/9+jbrgGhLprk6ZkR5vUJ0Hdum3X+p2D9PkfDIyMkKRIkUELxNUqT+ePn0qM5ufJuTVH4qo+3CcFdoaI8zZ2VkQdJT3tyXKyMbGRq1xS3V9HdMVU1NT2NrawsHBAeXLl0fVqlXRunVrgw82plOnvkpKSpJpnaOLv7t0t2RVSJ+bqgylcvDgQfz9999Zrv9iYmIUBg5Hjx6NW7duCcZzi4qKwoEDB3DgwAGIRCK4ubmhevXqqF27NurVq6d0IoZ0ui5fBQoUwKxZszBx4kTBPYC/v7+kt4ydnR2qVKmCmjVrwsPDA9WrV9fJWMea0sb1tGDBgjA3NxcMUaLq/YMu7x0o67J6351d48zqg77LDgll9dxU9+WHqtfbjHNoAMCnT590/oymK3ki6Ghubo7hw4dj7NixguWOjo6YPn26Vo6h6Zs4W1tbQdBR3kmSXSdO+tvYjKRvLDW5sdWF7CxM0i09Adkm/5r83ob6trZAgQLo168f1q1bJ1m2du1a/PTTT2q3vjMkWW1NoMvWCFmpPzLSd/2hiC4noZL+vtn5tyXKSN2Whbq+jmnbqFGjMHr06Gw/jq6p8zvK+w3VfbjRhC6uT6tWrcKKFSu0si9lwQQrKyvs3LkTCxYswMGDB2UezsRiMV69eoVXr17hwIEDMDIyQu3ateHl5aV0sH19lK+OHTvC0dERs2bNkjsTb2RkJK5du4Zr164BSAsqdOjQAQMHDlRpggld0+b1NGPgRNUgtiG11jY00nWAui2QpSUlJcksU6c7qbw85WX6LjskZKjPhIbwjKYruXYimYy+f/+Ov//+W2Z5WFgY/v33Xz3kSD3yLgR5XXb+TaTfjOcFgwYNEgSYQ0JCOGNvLsH6g8gw8TpGhurOnTsyAUczMzO0a9cOs2bNwr59+3Dp0iXcu3cPjx8/xvPnzwX/1O1maWVlhVmzZuHs2bMYMWKE0m7IqampuHXrFkaOHIl+/frh69evctfTV/lq0KABTp06hRUrVqBly5ZKX96HhIRg8+bNaNGiBWemJbVIB7EyDrWjCXndP3XxAoUoL8tLz2h5oqXj5MmTERQUJPezmTNnonLlylmenVnTcSikBxaV1/1EetmgQYPw+++/a3S8zEh3ZTDUQX3l/Z0ePnyo1oyT6pC+adTk9zbksUrs7OwwcOBALFu2TLJs06ZN6NWrl95uOnJTN4vM6LL+aNOmjeB3zm2kv292/m1JsZxYfnUdqNP1dSwv0PV5J+831GSCFkMjfY0oX748Vq9erXIwUd1xjdO5uLhgzJgxGDNmDCIiInD37l34+fnBz88Pjx49kmnNdfv2bQwYMAD79++XCcLos3yZmJigVatWaNWqFVJTU/H8+XPcu3cP9+7dw507d2TG24qLi8PUqVMBqDfDanazt7cX5FVb11N2m8466fM7fVInTbvry6u3DLW3W07AskOqkC7HVapUybUvoHJ9S8ctW7bgwoULkrSRkZHgpik2NhZjxozJcjNUZVOhKxIaGirTRUNeZSI9pmJ2Nq2WPlZUVJTMOI+GQN44k9n5d5H+XTT5vT9+/Kil3GSP/v37I3/+/JJ0RESEYHB3dUl3y1Bl/KiMDDXgnR00OZ9SU1Px+fNnwTJ91x+GQPpvoOiFU2aky2teutHTZOw3afoovzmtztH1dSwnyGm/oampqcyDubxutTlJaGgo/Pz8JGljY2N4e3urHHBMTk7WSuDVwcEBzZs3xx9//IG9e/fi5s2bmD9/vsxEP4GBgdiwYYPM9oZSvoyMjFChQgX07dsXS5cuxdWrV3Ho0CH06tULpqamgnUXLFhgUHWANq6nISEhgu6hAF/iaYP0+Z2SkoL3799rvL+3b99megxSHcsOqSIvPaPl6qDjgwcPsHjxYsGyYcOGYePGjYIxxl6+fIlZs2Zl6VgZB8DWdBsLCwuULFlSZr3y5csL0gEBAWofS1XyZtGVnu3bEDg4OMhMZy89g6Q2Sf8GmhwrO/OnDVZWVhgyZIhg2bZt2zQOOkuP46du1w9NAnE51evXr9V+8fHmzRuZv6n0eSpv2bNnz3J110vpB9LHjx+rvY/o6GiZG/By5cplJVs5SlbL7vfv3zVu6ZQV0uN/GXqdo+vrWE6Q035DAKhYsaIgbYj3TOp48eKFoMVotWrV1Joc5+nTpxq9qMiMnZ0dunTpgsOHD6Np06aCz44fPy6zvqGWL5FIhEqVKmHGjBnYvn27IPAYHR0NX19fPeZOSBvXU+ltzM3N5T7rkHqk6x1AdsZkdUhva21tDVdXV433l9ex7JAqKlSoIEgHBQXlit4S8uTaoGNERATGjRsn6Cvv4eGBUaNGoVSpUjJBRh8fHxw5ckTj44WEhEhmp1PV+fPnBWl3d3eZt54A8MMPPwjSAQEBCA4OVj+TKjAzM0O1atUEy44dO6b145iYCHv2a3KDWr9+fUH60qVLWcmSUlWqVBGkr169isTERLX2If17G6LevXsLbtJjYmIEE8yoQ7r1hzotPSMiIvDy5UuNjpsTpaSkqH3+ZmzBDQBOTk5yZ4etWbOmoDtZeHg4Hj58qFE+c4Lq1asL0p8+fVL7pdC5c+cEgVlTU1NUrlxZK/nLCaSHVFD3Df2dO3fUPqY2WldK51vd1uW3b99W+5hZpcvrWE6QE39DDw8PQfr06dNZntRBn6RfNEoH7jKT3UEzExMT/Pbbb4JlQUFBcrsvGnr5qlGjBlq0aCFYlpXAkbZJX08vXbqk9r2v9Nj5lSpVkvusQ+opUKAAXFxcBMuk7wvVIb1tlSpV1J5IxhBp495CEyw7pAoXFxdBOU5JScGVK1f0mKPsk/NrEznEYjEmTZokeONdoEABLFmyRFL5dOjQAT169BBsN3PmTAQGBmp83D179qi8bnh4OE6dOiVY1qRJE7nrFilSRBD0Sk1NlduVRFvatGkjSJ8/fz5Lfxd5pFszaBLVb9WqlSB95MiRbAvG1q1bV9D65/v37zh58qTK29+8eRNv3rzJjqxplZmZGUaMGCFYtmfPHo3+rqVKlRKkM3bXysz+/ftz5JhwWbF7926V101MTJQZ80NR/WFmZibzmaaB5JygTJkyMt0Ad+7cqfL2YrFYZv06derA3NxcK/nLCYoWLSpo8R4ZGanWS4C9e/eqfUzpa4Im4x9J1zkPHz5UuR6Ji4vLlhdsmdHldSwnkP4NAwMDVe4yLRaLsX///uzIllKtWrUSTHoSHBwMHx8fnedDW6QfatXpsh4dHa1R+VeXdLAFkD9bZ04oX87OzoJ0VicE0aYff/xRcG5HRESode/79etXnDlzRrCscePG2spenid9b3fhwgWNeie9evVKpoV2bvmdtPG8qQmWHVKV9HVqw4YNubJHWq4MOm7atEnwptXIyAj//PMPChYsKFjvzz//FHQ9zOr4jocPH8a9e/dUWnfRokWCis/U1BRdu3ZVuP7IkSMF6d27d2fpja2yk7lz586Cv1VycjImTJig1RshGxsbwUNtTEyM2jeCjRo1ErQ+SkhIwIQJE9R+k5SRor+LjY0N2rVrJ1i2ePFilcZeiI+Px5w5czTOk6516dJF0Hw/ISFBo7EdpVuGHTp0SKVK9MOHD1i/fr3ax8vpbt++LbeLmDzr16+XGbunV69eCtcfMWKE4Obn4sWLar0kkWbIF0MjIyP07t1bsOzw4cMqt4DatWuXTJcWLy8vreUvJzA2Noa7u7tgmaoDW589exZXr15V+5gFChQQpDV50VWhQgVBwOTbt2+4ePGiStv+888/ehlLR5fXsZygUKFCghbbSUlJOHz4sErbbtmyResvSFXh5uaG5s2bC5YtWLBAL3nRBukW8/fu3VP5QX3WrFlqBT00bREq/bc1NjaWO/6cLsuXtr6L9LOKPpUoUQI//vijYNk///yj8m88Z84cwbODhYWFQU2Uk9P169dP0BoxJiYG8+fPV2sfKSkpmDFjhuC8trGxUfpMmpNo495CEyw7pKqBAwcKGjYFBATIDA+obT4+PihXrpzg361bt7L1mLku6Ojn54elS5cKlg0fPhz16tWTWdfc3BzLly8XvAXJyviOYrEYI0eOxLNnz5Sut3LlSpm34D179lQ6YG/jxo3RoEEDSTolJQW//vqr2oGDsLAwrFmzBoMGDVK4jpmZGcaOHStYFhAQgH79+uHLly8qHSc4OFhpoEokEsmMNadOa6R0EydOFDSdv3PnDn7++WeZCTaUEYvFuHnzJoYNG4Zz584pXG/gwIEwMzOTpENCQjBkyBB8//5d4TZxcXEYPXo0Xr16pXJ+9M3ExASjR48WLJOeaVEVrVu3FqSfPHmSaQvd9+/fY9CgQbl2PIvMTJ06FTdu3FC6zqFDh7By5UrBsqZNm8odzzFd2bJlZW5WZs+ejZUrV6rV1SQ6Oho7duxA586dVd5GH7p37y54cBOLxRg1alSmQ2CcOnVK5oa9cuXKMjeOeYH0m9fdu3dn2m368uXLmDRpkkbHkw5ynjt3Tu0XURYWFmjUqJFg2bx58/D161el261atUqj64+26PI6lhNIn3srV67M9EHx4MGD2X6TrsyYMWMEw1jExMSgb9++uHv3rkrbx8XFYceOHQgNDc2uLKrM3d1dMBN0TEwMZs6cqbTVcHJyMmbMmIGjR4+qdazdu3dj6NChuHHjhsrB8ri4OMybN0+wrGbNmgpn7dVV+erQoQNWr16t1m/o6+sr0x29Tp06Km+vC8OGDRMEtr59+4ZffvlFafAkJSUFc+fOxdmzZwXLe/fujXz58mVbXvOa4sWLo0OHDoJlx44dw6xZs1QKrMfExGDMmDEy1/YBAwbIzAafU0nfW+zevVtnL+ZYdkgV+fPnx9ChQwXLNmzYgOnTp8tMOKxMQkICDh8+jM6dOxvkJMAmma+iXV+/fs1SCxsg7QHbyclJZnl4eDjGjx8veNtYt25djBo1SuG+SpYsiTlz5mDcuHGSZT4+PqhTpw48PT1VzlOVKlXg7++P8PBwdO3aFf3790fnzp3h5uYGkUiEhIQE/Pfff9i0aZNMJNnZ2Rnjx4/P9BiLFy9G9+7dJTMjJiQkYMaMGdi9ezd69OgBDw8PuLm5CW6uwsLC8Pz5czx58gSXLl2Cn58fUlJSUKZMGaXH6tq1K+7evStoYfD48WO0atUK3bt3R8uWLVGlShVJl8OUlBS8efMGDx48wPnz53Ht2jUUKlQIAwcOVHiMpk2bCprzr1+/Hnfv3oWHhwcKFCggM+5jhw4dZC6CtWvXxuTJkwUtCe/evYtWrVqhY8eOaNGiBapWrSqYRSwxMRHv3r3D8+fPcfv2bVy8eFESVFP2m5cqVQojR44UBLUfPnyIdu3aYfjw4WjZsqUk0BEeHo6LFy9i9erVkjGpqlWrhgcPHijcvyFp164d1q1bhxcvXmi8j/Lly6NWrVqCh67Fixfj9evX6N+/P8qXLw+RSITU1FQ8f/4cJ0+exK5duxAbGwszMzOUKVNGowmacqKKFSvi+fPniI+Pxy+//IJu3bqhW7duqFixIoyMjJCcnAw/Pz/s3LlT5kbEzs4OM2bMyPQY06ZNw8uXLyVlLiUlBd7e3vDx8UHPnj1Rv359lCtXTtBSLDIyEi9evEBAQAAuX76M//77D0lJSTITjRgaOzs7zJ8/H4MHD5bcXH7//h29evVC79690aVLF5QrVw5GRkZISkrCgwcPsGfPHpmuL1ZWVvjnn38ErUTzik6dOsHb21vyAiApKQmDBw/G4MGD0blzZxQtWhRAWn167949HDhwAKdOnYJYLEbx4sURExOj1sN3rVq1YGdnJ+nKGRERgQ4dOqB58+YoVaoUrKysBL+Dq6sr6tatK7Ofvn37CsbPDQoKQvfu3TFmzBg0a9ZMMtZsREQEbty4ga1bt0rGOK1evbpeJgHR5XUsJ+jZsyd27doluZeLjIxE7969MXLkSLRr1w758+cHkPbAfOfOHezYsQPXrl0DoL/fsEyZMpg+fTomT54sWRYWFoY+ffqgZcuW6NSpE2rXri2YefTz5894/PgxfH19cf78eXz//l3hMBm6ZGJigq5du2Lr1q2SZcePH8fnz58xdOhQeHh4SAKsISEhuHz5MjZu3CgZQqZkyZKIiYlR6WVlamoqLl26hEuXLqFgwYJo0aIFateuDXd3dzg7O0vuA8ViMYKCgnDt2jVs2bJFZqKv/v37KzyGrspXSEgIli9fjpUrV6JWrVpo2rQpKlWqhLJlywrGuI6NjcWTJ09w9OhR+Pj4CIK57u7uqF27dqZ/N12qUaMGBg8eLBiW5enTp2jTpg2GDh2K1q1bS64HMTExuHbtGjZs2IBHjx4J9lO2bFnBs5YhCw4OVthKXl6L+IsXL+L169dy169Tp47MsBHa9Ndff+HBgweSZ0MgrcfGpUuX4OXlhR9++AGlSpWSPBsmJSXh+fPnuHLlCnbs2CETnKhZsyaGDx+ebfnVtaZNm+LEiROS9IkTJ/Dq1Ss0aNAATk5OMsNJKIoxaCIvlh3SzNChQ/H06VPBM97evXtx7tw59OjRAw0bNoS7u7vMy83AwEAEBATg2rVruHbtmkENzyFN50HHt2/fqvSArEypUqVkKgSxWIyJEycK3lwWKFAA//zzT6YD4bZt2xa3b98WBENnzpyJypUrw83NTaU8/fjjj6hSpQp27tyJpKQkbNy4ERs3boSpqSmsrKwUtoZzcHDAqlWrVHqId3BwwKZNmzBixAhBMOjFixeYPXs2gLQWhDY2NhCJRIiJicnSgLkzZ85EfHw8Tp8+LVkWHx+P7du3Y/v27QDSxsowNjZGVFSU2m+OunXrhm3btuHbt2+SZX5+fgrH/mvYsKHcN2/9+vVDXFwcli5dKrl5S0hIwIEDByRdAs3MzGBtbY24uDi13hpIGzx4MJ49eyb4m4SEhGDWrFmYNWsWLC0tIRKJZAq9s7Mzpk6dmmO6K4hEIowdO1ZmfEd1zZo1C56enoI3rocPH8bhw4dhamoKa2trREVFCc5TkUiEWbNm4datW3km6Fi2bFm0b98eCxcuRGpqKvbt24d9+/bB2NgYNjY2iIyMlFu+zM3NsWzZMpVukMzMzLB69WqMGTNG0NU4KCgIixcvlrQSsra2hqmpKaKjo3P0ZAgNGzbElClTMG/ePMnfLjk5WVJ/Zfa3tbS0xLJly/LsTIEODg6YPHkypkyZIlkWFxeHFStWYMWKFbC0tISpqalM3W9nZwdvb2+16w4LCwv8/PPPWL58uWTZ9+/fcejQIbnrd+7cWW7QsV69evD09BRMDPf582dJC0xbW1ukpKTI1NEVKlTAjBkz0KlTJ7XyrS26vI4ZulKlSmHo0KFYtWqVZFlERATmzp2LuXPnwtraGiKRSGbczyJFimDZsmUyrV11pUuXLoiIiMDff/8tCCT9+++/kgkBzM3NYWlpafD1a3qLvoyTSN29exd3796FkZER7OzsEBcXh4SEBMF2NjY2WL58uUb3DiEhIdi9e7dgfGNra2uYmZkhOjpaMDFkRj169JDp3i5Nl+UrJSUFt27dEjQwMDU1hY2NDZKSkhSOV2tvb49FixYZ5EuuX3/9FR8+fBCMRR8REYGFCxdi4cKFMDMzg7m5ucJeKi4uLli1apWgt5AhU/dZNWOAXtr8+fOzNehoY2ODNWvWYNiwYYJhd4KCgiQ9N9KfDcVisdLxkitWrIjly5fLNPrIyVq0aIHSpUsLepw9e/ZMYa9EeTGGrMhrZYc0IxKJsHDhQohEIsFYnqGhoVi9ejVWr14NIK0xhJmZGWJiYhReEzWV3RNH5Zru1Rs2bMDly5claUXjOCoyZcoUQRNsTcZ3nDJlCnr27ClYlpSUpDDgWKxYMWzdulVpt0hpLi4u2L9/P7p27Sq3K4lYLEZUVBQiIyMVBhxFIhHKlSuX6bHMzc2xdOlSjB07VhBZzygmJkbhQ3tmN0758uXDmjVrJG95smLIkCHYtGmTzIDc6RITExEeHq70RtLR0THTC42xsTH++ecf/PTTT3I/j4uLk3mYdXV1xdatW3Ncs/hmzZqhatWqWdqHm5sbVq9eLRi/M11SUhIiIiIE56mZmRnmz59v8N13s8PAgQMxduxYQblJSUnB9+/f5ZavfPnyYe3atTKz2yvj6OiILVu2YMiQIQpvYGJiYhAREaH0gbhChQoqH1OfvLy8sHTpUkELlnTK/rbFihXDtm3b9Ba8MBQ//fQTfv31V7mfxcXFydT9Tk5O2LJli1rXtIyGDRsmMx6nJmbOnKmwxVhUVJRMHV2zZk1s3rxZ793JdHUdywlGjRqF7t27y/0sJiZG5sG5dOnS2LFjh8x4hLo2cOBArF69GoUKFZL7eUJCgtL61VBmi82XLx/WrVsnMykXkNY6MSIiQibgWLBgQbXLf2b3iTExMQgPD5f7cGVqaooRI0Zg5syZKh0ru8uXsu+SlJSE8PBwhQGfsmXLYs+ePZn2QtIXExMTLFmyBEOHDpUbkEpMTFQYNPHw8MC+fftQvHjx7M5mnuXm5oaDBw/KzISeLv3ZUNH5Z2xsjG7dumH37t0GNaaoNpiZmWHVqlUoW7asXo7PskOqsrS0xPLlyzF58mSF96OxsbGIiIhQGnAsVapUppNfSg/7Vrhw4Sw/82fGMO5usujevXuC1hFA2sQJ8sZxVMTMzAzLly8X/Mjqju9obGyMmTNnYu3atahYsaLC9dL77p88eVKjh3dLS0vMnTsXZ86cQc+ePVVu5eTh4YEJEybg/PnzKo99JBKJMHz4cJw/fx79+/dHkSJFMl3f3d0dY8eOVWkGwypVquDUqVNYuHAh2rdvjzJlysDe3l6mubsq6tevj7Nnz2LhwoWoWbOmSvsoVqwYfvrpJ6xevRpXr15F9erVM93GxMQE8+bNw6ZNm5QWUAcHBwwfPhyHDx+WO9NiTqCN5vwNGzbE4cOH0apVK4VjLhkbG6N58+Y4cuRIngw4phs+fDh27dqldEwnW1tb9OzZE6dPn0b9+vXVPoaJiQkmTJiACxcu4JdfflHpZsbY2BjVqlXDiBEjcOLECbVm2ta3Nm3a4Ny5cxgyZEimLzjc3NwwefJknDlzJtsvvjnFyJEjsWXLFpmJoTKysrKCl5cXTpw4gUqVKml8LCMjI0yfPh3Hjh3DkCFDUKdOHRQqVEima3VmLCwssGrVKsyYMUNpEKpw4cL4888/sWPHDqVjKuuSrq5jhs7IyAizZ8/G0qVLlbYScnBwwOjRo3Ho0CGDuc42adIE58+fx+TJk1V60C1WrBj69u2LY8eOaeUlrLaUKVMGPj4+8PLyUtobx8HBAb/88gtOnTqFKlWqqHWMvn37YteuXRg8eDCqVKmi0vnu4OCAHj164Pjx4xgzZoxadUN2lq/Tp09j7ty5aN26tcKgc0YikQg1atTAnDlzcOTIEZV7VumLSCTC+PHjceLECXTs2BG2trYK1zU2NkbNmjWxatUq7NixQzIkAmUfe3t7rFy5EkeOHEHHjh1VuqYVLlwYPXr0wOnTpzFnzhyFDUxyupIlS8LHxwcrV65E586dUaFCBTg4OGj0rKkJlh1Sx4ABA+Dr64sxY8ao9CIqfZ6MgQMHYv/+/Th9+rTMrO3SpCfXVNYYRVtE4pw8zaEeeXt7CyZzGDVqlMzkGx8+fMDDhw/x5csXpKSkIH/+/ChZsiSqV6+uMPiiqbdv3+L58+eIiIhAREQERCIRrK2tkT9/fri6usLV1VVrJ1NgYCBevHiBsLAwREZGwtTUFHZ2dihevDjKli1rMA9vcXFxkr9/REQEYmNjYWVlBRsbGzg7O8PNzU0rb/Q+fvwIf39/fP36FfHx8XBwcEDp0qVRrVq1XNVFQRsiIyNx584dfPnyBZGRkbCwsICLiwtq1qyZ41qCZrfg4GDcv38fnz59QmJiIhwdHeHs7IxatWpp/cLw+fNnPHnyBOHh4QgPD4dYLIa1tTXy5cuHkiVLolSpUnJbq+ZEr169ktRf0dHRsLOzQ/78+VGpUiW5rXrofz59+gQ/Pz98+/YNsbGxsLOzg5ubG2rUqJHpW1V9EYvFePbsGZ4+fYqwsDDJtbh8+fKoVKmSQXZlzEhX1zFD9/r1a/j7+yMsLAwJCQmwt7dHuXLlULVqVYO/zoaEhEjyHh4eDiCt23CxYsVQunRphS3vDElCQgLu37+P169fIzIyEkZGRnB0dESZMmVQqVIlrd3TJiQkIDAwEO/fv8e3b98QExMjuR7lz58fZcuWhaurq9aOl53l68uXL3jz5g0+fvyIqKgoxMXFwcLCAra2tihevDjKly8vtxV+TpGcnAx/f398+PABYWFhSEpKQr58+VCoUCFUr15dMI4l6UdgYCBevXqFiIgISa87BwcH5MuXD+XLlzeYFzV5DcsOqSM0NBSPHj1CaGgowsPDkZycDCsrK9jb26NkyZJwc3NTq6dOdHQ0PDw8JD0NCxcujHPnzjHoaKhUCToSERERERERERHp0+XLlzFkyBBJevr06VoZ2igzuaJ7NREREREREREREcnK2LW6SJEiOpvklkFHIiIiIiIiIiKiXCpj0HHo0KE6mxmdQUciIiIiIiIiIqJcKCYmBk+fPgUAFC1aFD/99JPOjm3Yo28TERERERERERGRRqytrfHkyRO9HJstHYmIiIiIiIiIiEirGHQkIiIiIiIiIiIirWLQkYiIiIiIiIiIiLRKJBaLxfrOBBEREREREREREeUebOlIREREREREREREWsWgIxEREREREREREWkVg45ERERERERERESkVQw6EhERERERERERkVYx6EhERERERERERERaxaAjERERERERERERaZWJvjNAZEjKlSsnSD9//lxPOSEiIl3q168fbt++LUlv374dderU0WOOiEgfnj59Ch8fH/j5+eHz58+IjIxEcnKy5PNRo0Zh9OjResyh4fnw4QMCAwPx+fNnREdHIzk5Gba2trC1tUWRIkXg7u4OGxsbfWeTiIj0gEFHIlKqadOmCAoKyvJ+PDw8sGPHDi3kiIgo57p16xa8vLxUWtfKygo2NjYoWLAgypcvj2rVqqFVq1awt7fP5lwS5T0JCQmYMWMGfHx89J2VHOHu3bs4evQofH19ERISonRdIyMjlCpVCk2bNkWnTp1QunRpHeWSiIj0jUFHIiIiIgMUGxuL2NhYfP36FU+ePMGhQ4cwZ84cdOrUCb///jvs7Oz0nUWiXGPq1Kk4duyYvrNh8Pz9/TFv3jzcv39f5W1SU1Px6tUrvHr1CuvXr0eNGjUwYcIE1KpVKxtzajgCAgJw/vx5SbpChQpo3ry5HnNERKQ7DDoSERER5RAJCQnYv38/Ll26hI0bN8oMC0JE6rt7965MwNHd3R2NGjVCwYIFYWT0v2HwK1WqpOvsGYSUlBSsWLEC69atg1gsVriekZER7OzskJiYiNjYWLnr+Pn5oU+fPhg0aBB+//337MqywQgICMDKlSsl6c6dOzPoSER5BoOORKSWxo0bo3HjxmpvV6hQIe1nhogoFxg7diwcHBxklkdHR+Pz58+4c+cOXrx4Ifjs69evGDx4MA4cOAAnJycd5ZQodzpw4IAg7enpiQULFkAkEukpR4YlKSkJEyZMwNmzZ2U+K1asGFq2bIkff/wR5cuXh4ODgyRIGxMTg8DAQNy+fRtnzpzBo0ePBNu+efNGJ/knIiL9YdCRiNRSqVIl9OrVS9/ZICLKNTp06ABnZ2el69y8eRN//vmnYIzd4OBgLFu2DPPnz8/uLBLlavfu3ROkR44cyYBjBpMnT5YJONrZ2WHEiBHo06cPzMzM5G5nbW2NKlWqoEqVKhg0aBAePnyIZcuW4caNG7rINhERGQCjzFchIiIiIn2qV68edu7ciXz58gmWHz16FMHBwXrKFVHOl5iYiA8fPkjS1tbWKF68uB5zZFi2b9+O48ePC5YVLlwYe/fuxc8//6ww4ChP1apVsWXLFixatAjW1tbazioRERkgBh2JiIiIcoCiRYti6NChgmUpKSlsNUSUBdHR0YI0J2j6n48fP2LJkiWCZQ4ODti9ezfc3Nw03m+nTp1w4MABuLi4ZDWLRERk4Bh0JCIiIsohWrVqJbPs4cOHesgJUe4QFxcnSGecNCavW7lypczfZ9q0aShWrFiW9+3m5oaJEydmeT9ERGTYOKYjkRoSEhJw//59BAYGIjIyEjY2NihUqBCqV6/OiVK0TCwW4/nz53j+/DlCQkKQmJgIe3t7NGrUKNOxzwDg+/fvePDgAb59+4awsDCYmJggX758KFmyJCpXrgxjY2Ot5DMqKgp37tzBly9f8P37d1hbW6NkyZKoUaMGbGxstHIMQ/Dx40cEBAQgNDQUERERsLa2Rv78+VG+fHmUKlUqW475/ft33Lt3D+/fv0dcXBzs7OxQuHBh1K5dW6stUVJSUvDkyRN8+PAB4eHhiIqKgqWlJRwcHODm5oZy5cqp1X0sJwkLC8OrV6/w7t07REVFISEhAba2trCzs0PZsmVRtmzZbHsAT0xMxP379/Hq1StERkbCysoK+fPnR40aNVC0aFGtHCM+Ph63b9/G58+fER4eDgsLC7i4uKB69epwdHTUyjF0rWjRorC2tkZMTIxkWVhYmMb7CwkJgb+/P8LCwhAeHg4zMzPkz58fpUuXRvny5bU6rp0uyhrrqtxZV6V79eoVXrx4Ifn+9vb2cHR0ROXKlTWuN5TNxKxL+qyP5QkJCZHpVl2nTh20b99ea8cw5ABvaGgonj17hg8fPiAqKgpJSUmwtLSEjY0NnJ2dUbJkSRQpUkTf2QSQNrGYv7+/pN6zsrKCo6MjSpUqpfV6PJ1YLEZAQICkvgXSJo2sVq0aSpYsmen2SUlJePjwIV6+fInv37/D0tISTk5OqFOnjswwIlmhq+eBjBITE+Hv74/Xr18jIiICqampyJ8/P9q3bw9LS0utH4/I0DHoSKSCiIgIrFy5EocOHUJsbKzM50ZGRqhVqxbGjRuHGjVqKN2Xn5+fYCIWKysrXL16VaMA1aNHj9C1a1dJ2sLCAleuXIG9vb3a+9K1pk2bCiZEuHDhApydnZGQkIBt27Zh165d+PLli8x28+fPVxh0TElJwdGjR7Fv3z48evQIKSkpctdzcHBA69atMXLkSI2Dxe/evcM///wDX19fJCUlyXxuamqKNm3aYNy4cZIHIUXfWZ6PHz+iWbNmknSxYsVw8eJFtfLYr18/3L59W5Levn076tSpo/L20dHR2Lp1K44fP463b98qXM/Z2Rk9evSAl5cXLCwsVNq3j48PJk+eLEl37twZCxYsAJA2m+WyZctw/vx5JCcny2xrbGyMpk2bYvz48VkKIjx8+BCbNm3CjRs3EBUVpXA9CwsL1KpVCx06dECbNm1gbm4u+SynleeUlBTcvn0bZ8+exX///ZfpzKG2trZo27YtBg0apNYYZ8rO36ioKKxevRr79++X6daYrmLFihg/fjwaNGig8jEzCgkJwZIlS3DmzBm5dbaxsTEaNWqEcePGoWzZshodQ59sbGwEQUdl5688iYmJ2L17Nw4fPoxnz54pXK9gwYLo3LkzBg8enKXgmTbKmjKsq9Lkproqo8jISGzcuBHHjx/Hp0+fFK5XunRpdOvWDb179840+FquXDmFnwUFBSn8fP78+ejSpYtqGc+ErupjTR0/flzmvO7du3e2HxfQ3z2QWCzG0aNHsWfPHjx48CDTYxQsWBB16tRB27ZtBfkFZOuOjA4fPozDhw8r3K8q3zclJQWHDh3C7t27ERAQoDSPbdq0wfDhw9V62abo75eamoq9e/di48aNgnvajGrXro0pU6bA3d1d5rPo6Ghs2LABe/fuRUREhMznxsbGaNOmDf744w84OTmpnN+MsvN5QNm5+fXrV6xevRpHjx6Ve+9Rr149lRpOEOU2hvt6ichAPH78GO3bt8eOHTvkXkAAIDU1Fbdv30bv3r2xcOFCpW/Na9SoIbgIx8bGyrxJVtWePXsE6bZt2+aIgKMi7969g6enJxYvXiw34KjMo0eP0LFjR0yePBkPHjxQeIMBpAWR9+7di5YtW+LQoUNq53Pfvn3o0KED/v33X7kBRyDtDe6xY8fQvn17XL58We1j6NuRI0fQrFkzeHt7K32IB9JuwBYvXozWrVvj8ePHWT5up06dcObMGbkP8UDazeS5c+fQpUsXjf62YWFhGDZsGLp3746zZ89mGrCJj4/HtWvXMHHiRGzYsEHwWU4rz7169cKAAQOwZ8+eTB9wgbRg1r59+9CmTRvs2LEjy8d/+vQpOnTogM2bNysMOALAkydP8Msvv2DlypVqH+PChQto27YtfHx8FNbZKSkpuHjxIrp06aJRHaBv0uesOi0nrly5gpYtW2L+/PlKA45AWvB2/fr1aNGihd7LmiKsq/4nN9VV6U6fPo0WLVpg3bp1SgOOQForyPnz56N169Y5YsgBfdfHmfH19RWkHRwcZAJruUlYWBh69eqFiRMnqhRwBNLqyBMnTui8m/jLly/Rvn17TJs2TWnAEUjL4/bt29G8eXMcOHAgS8eNiorCwIEDMXPmTIUBRwC4c+cOevTogX///Vew/MWLF/D09MTatWvlBhyBtHrzxIkT+OmnnxAYGKh2HnX5PJDRpUuX0KZNG+zZs0fhvQdRXsWgI5ESb9++xcCBAxESEiJYbmNjA1NTU5n1xWIxNm/ejBkzZigNPEq/Kd67d6/aeYuKisKpU6cEyzK2YshpgoOD4eXlhdevXwuWW1hYZDrD4fnz59GvXz+8evVK5jORSARbW1tYWVnJfBYXF4cpU6Zg/fr1Kudz9+7d+Ouvv5CQkCDzmampqUxroJiYGIwaNQp+fn4qH0OfxGIxli5diokTJyp8A+3g4CD3/P/8+TP69euHmzdvanTsw4cPY9KkSYK/rZGREezt7eUeLy4uDiNHjsTLly9VPsazZ8/QtWtXmYepjMdzcHBQ2ApKXrnOSeU5MjJS7nIjIyPY2dnBzs5Obne35ORkzJkzB6tWrdL42M+ePUP//v3x+fNnwXJbW1uFf29vb2+1HpIuXLiAMWPGyP2exsbGsLe3F3QzS0pKwp9//okzZ86ofAx9+/jxo8wDjaotJ3bv3o1hw4bJ/AbA/8qavN8iIiICI0aMwNGjR1XOZ3aUNenPWVfl3roKSGtZNW7cOIW/r3R5ThcUFIT+/fsb/As/fdbHmUlKSpIJvFWvXl3u+Z0bJCYmon///rh//77czy0tLZEvXz6595K6dvfuXfTu3VvmfjmdnZ0dTExkOzPGxMRg6tSp8Pb21ui4iYmJGDp0qEy9aW1tLffFV2JiIn777TdJUPTNmzfw8vISzBQvEolgZ2cn97wKCQnB4MGDZcYUVUaXzwMZ3bhxA6NGjZJ5mWpjY6Nyi32i3Izdq4mU+OOPP/D9+3cAad39Bg8ejIYNG0q6I3348AEnTpzA+vXrBQ+Be/fuRYUKFdCzZ0+5++3QoQP+/vtvyb6fPXuG+/fvo3r16irn7fDhw4ILccWKFVGlShW1v6OhmD59uqR1Y/ny5fHLL7+gQYMGkq4g0dHRuH79ukxXCz8/P4wZM0bQ0sTe3h49evRAixYtUKFCBcnNTHh4OK5fv44NGzYIWvgsWbIE5cqVQ6NGjZTm8f79+5g9e7ZgmampKQYMGABPT0+4ublBJBIhPj4eN2/exObNm3H79m3JjVd8fLzmfyAd2bRpE9auXStYVrJkSfTp0wcNGjSAq6ur5CHvw4cPOHfuHDZt2oRv374BSGs9M3bsWBw7dkytbjEvXrzAyZMnIRaLYWlpid69e6Ndu3aoUKECjIyMIBaL8eTJE2zZsgUnTpyQbJeUlITp06dj9+7dmR7j69evGDRokMxLhBIlSqBfv35o0KABihcvLhnfJzo6GgEBAbh16xbOnj2LFy9eyN1vTizPFStWROPGjVG9enWULVsWhQoVkvyuycnJePXqFXx9fbFr1y7B32vlypWoXbs2PDw81DpefHw8Ro8ejcjISIhEIrRu3Rrdu3dHzZo1JTfkHz58wOHDh7Fx40ZBMGfBggVo0aIFHBwclB7jw4cPmDBhgqD1sZGREbp164Zu3brB3d0dxsbGSEpKwr1797Bz506cO3cOYrEYU6dORYECBdT6Tvpy+vRpmWWZDeuRvt3MmTMFywoVKoQ+ffqgcePGgvHigoODcenSJWzYsEHygJicnIypU6eiXLlyKF++vNJjZVdZy4h1Ve6uq65evYp58+YJgqfGxsbo2bMnfvrpJ5QvX15Snv38/LBnzx5B2YiLi8PYsWNx+PBhuePLzZgxQ/L/ERERWLZsmSTt4OCAsWPHys1XtWrVsvjNZOm6PlZFYGAgEhMTBcsqVaqk9eMYii1btsiUmxYtWqBbt26oWrWq4PqTlJSEt2/fIiAgAFeuXMHly5flBvmrVasmOc8ePHiAI0eOCD7z9PRUmB9FL9uDg4MxcuRImYB1w4YN4eXlhbp168LMzAypqal4/fo1jhw5gq1btwquiytXroSrq6vaY3OuWLEC/v7+AIDKlStj8ODB+OGHHyTPREFBQdi/fz82bdokOV5CQgJmzZqFbdu2YdSoUQgPD4dIJELbtm3Ro0cPVK9eXTIUwtOnT7F27VqcPXtWcsygoCCsXbsW48aNyzR/unweyCgmJga///675Ds3b94cPXr0gIeHh+Sl0Ldv33D27FmDCFoT6YNIbCijJxMZAEVj+PTo0QN//fWX3DeHQNoDTf/+/QVdDaytrXHy5EmFg0wvXLgQmzdvlqQ7deqERYsWqZzXdu3aCd7kzZkzB926dVN5e1VJj0M4atQojB49Wuv7Tde/f39MmjRJpcHFIyIi4OnpKWi1U69ePfzzzz9KAwjJycmYO3eu4OEvf/78uHDhgsJuiomJifD09BR09XBwcMC2bdsUPoCLxWKsXLlSYRdRQxvT8f79++jbt6/ghm3AgAGYMGGC0vGxwsLCMHLkSEFrzsaNG2PdunUKt1E01lGJEiWwfv16pYOQe3t7y/xNjx49qjQQIhaL0adPH9y7d0+wfNiwYRg9erTCsp3Rf//9h9jYWDRt2lTms5xSnteuXYtmzZqhTJkyKq0fHR2N3377TdDaysPDI9OufdLnbzorKyssWbIETZo0UbjtjRs3MGjQIEGXqClTpqB///5Kj9m/f3/8999/krSFhQXWrFmD+vXrK9zmwIEDmDZtmtwHRnXHQFXVrVu34OXlJVimrC7I6MOHD+jataug5ZeDgwMuX76sdIzC9+/fo3PnzoJWGO3bt8fMmTOVjukXFxeH33//HefOnZMsK1u2LI4dO6ZwYoLsLmsA66rM5PS6KjIyEm3bthUE2GxsbLBhwwalAfbjx49j4sSJgrqjUqVKOHjwoNKJNLRxvdWErupjTfz7778y93qrVq1C8+bNtX4seXR9D9SmTRtBy8GJEydi4MCBKh0nLi4O586dQ8eOHRWuo2xsWHX88ssvuHbtmmDZ1KlT0a9fP4XbPH/+HD///LNkshcgrTydOnVK6QsX6b9fuoEDB+KPP/5QWKZOnDiBCRMmCJY1bdoUFy9ehLm5ORYvXowWLVooPO7UqVMFPRwcHR1x5coVpa1sdfk8oOj+xtTUFAsXLkS7du0UHo8or2L3aqJMNGjQADNnzlR6o+/i4oJNmzYJmtDHxMRg27ZtCrfp1auXILB25swZheObSLtz547gpt/W1lZnF7mVK1eiXLlyav3z8fFRad+tWrXClClTVJ7NcMuWLYIbjOrVq2PdunWZtlgyMTHBX3/9JXggCw0NVTqey9mzZwUBR5FIhNWrVyt9eBSJRBg9erTWBp3PbosWLRI8xHt5eWHy5MmZDsjv6OiINWvWoFixYpJlly5dUqm1UkY2NjbYuHFjprMejhw5UuYFgbzWXxmdP39e5iF+7NixGDdunEoP8QBQt25dhUGQnFKehw0bpvIDLpD2m6xYsQKurq6SZbdv31arm2hG8+bNUxpwBID69evLtBLPrPuzn5+fIOAIpAVDlAUcAaBbt24YNWqU0nUMxc2bN+Hl5SVzXv3666+ZToqyYsUKQcCxZcuW+PvvvzOdRMTS0hJLliwRtHB68eIFLl26pHCb7C5rAOuqzOT0umrfvn0yrTy9vb0zbdHboUMHmbH1Hj9+bLDdrPVdHyvz9etXmWU5ecxwZeLj4wUBx0KFCmHAgAEqb29paak04Kgt/v7+MgHH4cOHKw04AmkNKtavXy+oP9In31JX27ZtMXHiRKVB/Pbt26NevXqCZekB46lTpyoNOALApEmTYGtrK0mHhYXhzp07SrfR5fOAIpMnT2bAkUgBBh2JlEi/GCm7uKZzdXWVeSt6+PBhuWP/AUDx4sXRsGFDSTohIUHl4Jz0IO6enp45vsm+qakppk6dqvL6MTExgr+DsbEx5syZo/LYKSKRCJMmTZJ0TwPSHnQUkf7M09MTNWvWVOlYf/zxh+AGyhD5+fkJWv8UK1YMv/32m8rbOzg4yARv9u/fr1YehgwZotKMnOldZjN68uSJ0m2kx+mpWbMmhg4dqlb+lMnN5dnMzEymZd6tW7fU3k+DBg3Qpk0bldbt0aOHIP3s2TOkpqYqXF+6fHp4eKBDhw4qHWvIkCFwcXFRad3scvz4cezZs0fm38aNGzF79mx06NABAwYMkJlIo0uXLujTp4/SfQcFBQkCXTY2NpgxY4bKL3fMzMzwxx9/CJYpqyuzu6yxrsoaQ6+rUlNTZbqgd+zYMdMXCOn69euHihUrCpbpYtIVXdFWfZwZeRNhGPp9jKbShxtIV6xYMZXrR12SPo+LFy+OESNGqLRtpUqVZK4VBw8eVGu8RFNTU0yZMkWldeVdfytUqIDu3btnuq2NjY3MSxNlE3/p+nlAnrJly+psZneinMjwalQiA/LDDz+gRIkSKq8v3YIgIiJCpsVCRtI3APv27ct08PywsDCZ2eAUjR2ZkzRp0gSFChVSef1r164JbhTr1auH0qVLq3XMEiVKCFrwvHz5Um6Lj8jISNy9e1ewTJ2bi3z58qFt27Zq5U3XTp48KUj36NFD7cGvW7ZsKXiTLq9bjiJGRkYq3Yymk27xomhAdSBt0oj0cYjSDR06VOsPFbm5PEuPY6bqzJ4ZqTPZRNmyZQWt8GJjY+VOfgKkdUeVbnmnTvk0MzNT69zLDsuWLcOMGTNk/v3999/YuXOnTEs8GxsbTJ48GfPnz89032fPnhW0CmzXrh3y58+vVv7q1KmDggULStL37t2TGwTWRVljXZV1hlxXvXz5Uia4nllLroyMjIzQt29fwbJbt24pfAGcE2mjPs6M9HiOAAzqZZg2SQdTAwMDDXL24StXrgjSPXr0yLR1d0b9+vUTNKKIjIxU69xp0qSJ4DqgTOXKlWWWqTMMg/T2yupNXT4PKNK9e3eVGqgQ5VWcSIZICXljdijj5OSEypUr4+HDh5JlDx48UPiG/scff0Tx4sXx/v17AGmzZd+8eVPpG/2DBw8KBoSuXbu22hfXrGjcuDEaN26s1jaqDLyu7thp0l0tMrbcUIe7u7vk9xKLxXj48KHMANL+/v6CB7KCBQuqPXB+8+bN1X5zqkvSD90//vij2vuwsbFBiRIlJN3QX758iZiYmExnHweAMmXKIF++fCofS7plWlRUlMJ1pVuBODg4aPT9MpMTyzOQ9rd7+fIlwsLCEB0djfj4eJkAhPTNd/qkT+qoVauWyuuKRCI4OzsLBnhX9Bu/fftWkD9jY2O166hmzZph8eLFam2jLw0aNMCSJUtU7uqojbINpLVSSe/yGhkZidevX8ucq7ooa6yrss6Q6yrp2YOLFCmi9vW2ZcuWmDJliqQeS0pKwqNHj9Sqg/RFV/VxZuQFswwxEKcNVlZWKFOmjKSbemRkJMaNG4d58+ap/YImu7x+/Vrmd2/VqpVa+3BxcYG7u7ugtbWfn59MV2hF1Ck/RYsWlVmmau8gADLj4Sua6R3Q7fOAItkx/jNRbsKgI5ES7u7uGm2TMeiY8aFZmkgkQu/evQWDSe/Zs0fhjb9YLJYJXKnTekgbKlWqlC3HLFu2rFrrS7+dfffunUzXL1V8/PhRkJY3jpH0byjddUsVmmyjK7GxsTJjQt2+fVuj1hMZW0ekpqYiNDRUpQf5jGOsqUJ6nxnHq5P29OlTQbp69erZ8kY6J5XnN2/ewMfHB2fPnsW7d+/U3l7ZA4A8NjY2mc4+LU3V31i6fJYqVUrhAPCKuLq6wsrKKkc8VF+7dg1jx47F8uXLYWdnl+n6Ga9HQFr3Xunx8lQRHh4uSIeEhMgEnbK7rLGu0g5DrqueP38uSGsyY7KNjQ1KliyJN2/eCPZrqEFHXdfHqpDXqlHZuZvT9ezZE7Nnz5akL126hCZNmqBFixZo2rQp6tSpk+n4gNlJulzY29trNCxIpUqVBEFH6f0qo07dJ+8arM720vVmTEyMwnV1+Twgj4mJCdzc3NQ+HlFewqAjkRLqPlzI2yaz5vldunTB8uXLJeOqXLx4EcHBwXJnlLt69argopg/f/5MB2TOKdQNSGSchQ+AzBhQmpIe2weQ/Q3lvcHNTP78+WFhYYH4+HhNs5ZtQkNDZVpSzJs3Tyv7joiIUGnsM1WCJxllHHsHgNLx/sLCwgTp7By/z9DLc2JiIhYvXoydO3cKutyqS9kDgDzq/r6A7G+ccUbajLRRPo2MjFCkSBHBZFG6JG/26vj4eISEhOD+/fvYu3evYKiOGzduYMiQIdi2bZvSrsWpqakywcLVq1drJc/yrm3ZXdZYV2mPodZV0tdgVWZ1l8fZ2VkQdFSnq6Su6Ks+VoW8brSG+DfUll69euHKlSuCSYcSEhJw4sQJnDhxAkDaGIrVqlWDh4cH6tatq9OxgLVZLpTtV5nMJh7LSLreU3d76SEllNWbunwekMfGxkbu9yWi/+GYjkRKqHOBTCc9Nkxmb6Dt7e3Rvn17STo5ORkHDhyQu670m7uffvpJrfFcDJm6YwVl182vvKCg9G+oyXkBGO4g7OrcdKpL1SBrdo6FI32uaBIAU5Uhl+fExESMHDkSW7duzdIDLoBMx3+Tlp2/r3R31dxSPi0sLODi4oKOHTti9+7dGDdunODz+/fvY+7cuUr38f37d7V/K1XJK9vZXdZYV2mPodZV0r+xtspzdp47mtBnfawKeQF4dVrF5TTGxsZYtWoVhg4dqvBFzvv373Hs2DFMnToVzZs3R7du3XD48GGFL8S0Sfo+VJVW2fJkpVxkte7LrrpTl88D8mj6WxDlJQw6EhkA6UHPDxw4IHMT8+XLF8EbWCMjI5kZXvOSjGNLaVN2PaAbsuz6WwJ58+9pqOV5/fr1MgPR58uXD3379sXSpUvh4+OD69ev4/79+3j69CmeP38u+XfhwoVszRtlbtiwYTJdWvft24ebN28q3Ca3le3c9n30zVDrqrzA0Ovj0qVLw9TUVLBM2QzCuYGpqSnGjx+PCxcuYMKECahSpYrSFmz+/v6YNGkSOnfurHSiE8pefB4gMnzsXk2kRHR0NBwdHdXaRrrVjSotFcqXL48aNWrAz88PQNpNvq+vL5o3by5ZZ//+/YKHgYYNG2rcvSI3cHBwEIxLtn79epUHfFaX9G+o6bhGyiYQyA7KuqNkJG9CiocPH8LCwkLbWdIL6a772TH+VUaGWJ5jYmKwYcMGwbL27dtjzpw5Ko1/aMhjHUq33Mgp5VMTEydOlOnqOnfuXBw9elTuw7G8YStOnTqVbeNPZXdZY12lXYZYV0n/xtoqz6pOvKQLOaE+NjU1RbVq1QSTdNy/fx9JSUkywUhDpeo9kLSCBQtiyJAhGDJkCKKjo3H//n3cu3cPfn5+uH//vszM3s+fP4eXlxcOHjyIwoULayPrMqTvQzXtUm/I5UJTunweICLNsKUjkRJBQUFZ3kbVsQqlWxxk7M4kr9tTz5491c5bbiI9e2h2jjUk/Rt++vRJ7X2EhoaqNZ6jquPZKaPqA6u8wHpuGrtJ+vulz9ianQytPF+9elVw/pUsWRLz589XecIV6XEBDYk2ymdqaio+f/6spRxlH0tLS0yYMEGw7OXLlzh27Jjc9c3MzGS6fmXnb5ndZY11lfYZWl0lXZ41uQ8DZCeFUHfc6OyUU+rjJk2ayBz34sWLOjm2Lu+BlLGxsUHDhg0xduxYbN++Hbdu3cKyZctQvXp1wXohISH4559/snw8RbKrXOSGoKMunweISDMMOhIpIT2TpCbblC9fXqXtWrZsKRi4+/r16/jw4QOAtAHeM86iVrRoUTRu3FjtvOUmFSpUEKQDAgKy7VjSv2HGmf9Upe420mNcqtuyQSwW48uXLyqt6+DggCJFigiWaXLuGyrpmcMfPHiQ7d1mDK08S4/F1aZNG7XGZHv06JG2s6Q10uXz9evXkskxVPXmzRuDbs2ZUZs2bWS+8+rVqxWOC6fLujK7yxrrKu0ztLqqbNmygrQmXXqjo6Px9u1bwbJy5cplJVtalVPq444dO8LERNgpTluTdGRGl/dA6rCyskKbNm2wd+9e9OnTR/DZuXPnkJCQoPVjArLlIiIiQlJO1SFdngypXGhKl9c4ItIMg45ESqg7bk5wcLDMzWC1atVU2tbU1BTdu3eXpMViMfbu3QtAdhD37t27y8zsltfUr19fkL5y5Uq2PZxVqVJFMAB2SEgI/P391drH+fPn1VrfxsZGcMzIyEi13to/e/ZMrfWl/56XLl1SeVtDV6dOHUE6IiJCZiwtbTO08iw9u6N04CYzvr6+2syOVpUsWVLQCiQlJUXt8zcnjVkpEokwYsQIwbL379/j+PHjctfXZdnWRVljXaVdhlZXSbcg+/Tpk9ov7c6dOye4HzA1NUXlypW1kj9tyCn1ccGCBQWTDQHAf//9J5nNWRsUdYHW9T2QJsaPHy/oah4fHy8T7E6X1ZabpUqVkmntqO595cePH2Ve0tSoUUOtfRgiXT4PEJFm8nbUgigT169fx7t371Ref8+ePYIbKHt7e7Uu6D169BC8Vfbx8cHLly8FEwWYmpqia9euKu8zt/rxxx8FXZECAwPVvgFTlZ2dHWrWrClYJv0wpkx4eDhOnTql1jGNjY1RokQJwbL0cbdUkf7QqKpWrVoJ0keOHEFwcLBa+zBUhQsXlnmQXbduXbbflBpSeZZuRaPOw9jDhw9x9+5dbWdJa0Qikcz4Teq0xklMTFQ4a6+hatmypUzLl7Vr18p9kG3ZsqXg4f3atWsatdZWhS7KGusq7TOkuqpMmTIoVqyYYNnOnTtV3l4sFsusX6dOHYUzEutDTqqPR48eLTNm6uzZszXu3pvR69evsXDhQrmf6foeSBM2NjYygUBFreylh7nQZAxh6evc3r171ZpEZefOnYK6xN7eXqa+yYl0+TxARJph0JFIieTkZMyaNUulG/43b95g8+bNgmWdO3dWa4B7JycnwQDuYWFh+PXXXwXHb9asmaArVF7l6OgoM5PrjBkzsnQjrOx3lp6t8/Dhw7h3755K+120aJFGN5hVqlQRpFUNjDx8+BCHDh1S61iNGjUStARJSEjAhAkTZAZMV4chvWkePHiwIH3v3j2sXbs2W49pSOXZyclJkFa1dVhsbCwmTZqUDTnSLunyefv2bYUt/6StX79eJ2PnaZNIJMLw4cMFy96+fSu3BVKZMmXQsmVLwbLffvstS62AlJXt7C5rrKu0z5DqKiMjI/Tu3Vuw7PDhw7h9+7ZK2+/atUumC6mXl5fW8qcNOak+dnZ2xvjx4wXLIiIi0Lt3bwQGBmq832PHjqFr165Kuwjr6h5I0dAUmQkLC0NYWJhgWYECBeSuK112NJntWnr81bdv32L9+vUqbfv06VPs2LFDsKxr1665YhIuXT8PEJH6GHQkysS1a9cwY8YMpV0hPn78iF9++UUwlouVlRX69++v9vGkbyqkb0ykL6x52eDBg1GoUCFJ+tu3b+jTp4/arQBevXqF6dOnKx0EvHXr1nB1dZWkxWIxRo4ciWfPnincRiwWw9vbGz4+PmrlJ510i57z589n2q3J398fI0aMUOvtd7qJEycKugDduXMHP//8s1oTbIjFYty8eRPDhg3DuXPn1M5DdmnatCk8PDwEy5YtW4Zly5ap/MBx69YttQfRN5TyLN1t8+7du9i3b5/SbcLCwjBw4ECNHo50rWbNmjK/79SpUwUtteQ5ePAgVq5cmZ1ZyzatW7dGqVKlBMvWrl0rt7viuHHjBGOkvX79Gr1798aLFy/UOqa/vz8mTJgg8/CakS7KGusq5XJyXQWkdePOGKQRi8UYNWpUpsOanDp1CvPnzxcsq1y5Mn788cdsyaemclp93L9/f5lu1l++fEHPnj2xdetWtQL+/v7++Pnnn/H7779nOgOzru6BLl26hN69e+PcuXMql7GUlBTMnTtX8Gzg7Ows00o3XdmyZQV11rt373D16lWV8wikBWEbNGggWObt7Y39+/cr3e7ly5cYMmSI4LvZ2tpq9IxiqHT5PEBE6mPQkUiJqlWrAkjrwtCtWzecOXNGcJP04cMHrFmzBh07dpR5o/bbb7+haNGiah+zdu3aMt3m0pUqVQp169ZVe5+5laOjI1atWiXoNvX582f07dsXgwYNwokTJ/Dp0yfBG8vU1FQEBQXh4sWLWLJkCdq1a4d27dph7969SiefMDMzw5w5cwTdFMPDw9GtWzcsXrwYgYGBkuMkJCTg0qVL8PLykgQ0ihUrhvz586v1/Ro3bgxnZ2fBsj/++APz588XPHgkJyfj/v37mD59Onr37o1v377BwcFBECRVRe3atTF58mTBsrt376JVq1aYOnUqLl++LDMrYGJiIl6+fIkTJ07gr7/+QsOGDTFgwAD4+voqHKtJH0QiEZYsWSLT2mDNmjVo164ddu7cibdv3wryHB0djbt372LlypXo0KEDvLy81O6WaijluXLlyjKTVPz111+YPHkyHj9+LHlwEovFCAwMxJo1a9C6dWvcv38fAGSCIIZozpw5glYb8fHxGDhwIP766y88efJE8tsmJSXh1q1bGD16NP7880+IxWLY2dmpXV70zcjICMOGDRMse/36tdyhHFxdXfH3338L6q+XL1/C09MTY8eOxblz5/Dt2zfBNsnJyXj79i3Onj2LefPmoVmzZujWrRtOnDih9IFeF2WNdVXurauAtCFN5s+fLzhfv3//jl69emHu3LkICAgQlOc7d+5g/PjxGDdunCCwYmVlhX/++UewH0OQE+vj+fPny7SYjoyMxPz589G6dWssXLgQN2/eRFhYmODcjI2Nhb+/PzZt2oRu3bqhW7duuHHjhkrH1OU90L179zBq1Cj88MMPmDx5Mo4ePYqXL1/KBFSDg4Nx7NgxSV2YUb9+/RSea5aWlqhXr55g2fDhwzFq1CisWbMGu3btwp49eyT/jh07Jnc/8+bNE3TpFovFmDZtGoYNG4br169L8pt+7ixZsgRdunRBSEiIYD8zZsyQaXGbk+nyeYCI1GeS+SpEedeiRYvQo0cPRERE4MmTJxgzZgyAtDeECQkJCt/uduvWTaZ7kDr69OmD6dOnyyyX7kJIaW9+V69ejfHjx+P79+8A0m62rl69KnmLbGxsDFtbWyQlJSE2NlbjbhO1atXCn3/+iTlz5kiWJSYmYv369Vi/fj1MTU1haWkp023RzMwM//zzD3777Te1jmdiYoI5c+bg559/luQ5JSUFW7duxdatW2Fubg4LCwtERkbKDJq/dOlSrFmzBm/evFHrmP369UNcXByWLl0qeXBISEjAgQMHJF2bzMzMYG1tjbi4OMTHx6u1f30qWLAgNm7ciGHDhglaRL19+xazZ88GkBbIsbOzQ0JCgtZuOg2hPItEIkydOhVeXl6CgJGPjw98fHxgamoKa2trREdHy7T0KFu2LP7880906tRJZ/nVRIkSJfDPP/9g7Nixku+QmpqKffv2Yd++fTA2NoaNjY1MeRGJRJg9ezZ27dqldnnRt/bt22PVqlWCsYfXrFmDtm3bykz40bx5cyxYsAB//fWXpFV+SkoKTp8+jdOnTwOA5DxITEzM0mzeuihrrKtyZ12VrmHDhpgyZQrmzZsnKa/JycnYvn07tm/frrA8p7O0tMSyZctQsmRJHec8czmxPjYzM8OyZcuwfPlyrF+/XvA3DwoKwubNmyVDDKWfm8nJyYiOjla4T5FIhPLlyyv8XB/3QBEREZLfIZ2VlRXMzc0RGxurcHbqhg0bZtqNf9iwYbhx44YgYH7u3Dm5La2LFSuGjh07yix3cnLCqlWrMHz4cMG9pq+vL3x9fSESiWBnZ4eYmBiFrTZHjRol03I1N9Dl8wARqYctHYmUKFmyJDZt2iTT4iAqKkpuwFEkEqF///6YPXt2lt6sd+zYEba2toJlFhYW6Ny5s8b7zM0aNGiAQ4cOoXbt2nI/T0lJQUREBGJiYhTeYJibm8t0VZSnX79+mD59utxB6ZOSkmQCjtbW1li1apXGMwTWq1cP8+bNk5n5EEh7wP7+/bvgO9na2mLNmjUys/mpY8iQIdi0aZNMC4N0iYmJCA8PV/oQ7+joaJBv0cuXL48DBw7ghx9+kPt5amoqIiIiFD7Ea1KuDaU816hRA3///bfcMZySkpIQEREh85BSvXp1bN26FTY2NrrKZpa0aNECy5cvl/l7A2n1gHR5MTU1xbx589C6dWtdZlNrjI2NMXToUMGyV69e4cyZM3LX9/T0xN69e1GuXDm5n6efB8oCjjY2NnBxcck0b7ooa6yrcmddlc7LywtLly6VmawDkF+e0xUrVgzbtm2TmXjDkOTE+tjY2Bjjx4/H3r17Ua1aNYXrpZ+bygKO9evXx8GDB/Hrr78qPaY+7oGkxcbGIjw8XG7AUSQSoUePHlizZk2mM7vXrl0bs2fPFkx6oolatWph165dcu9ZxWIxvn//LjfgaG1tjTlz5mD06NFZOr4h0+XzABGpjkFHokxUqlQJJ06cQL9+/QRjYmVkZGSE2rVrY+fOnZgyZUqWu/JYWVmhVq1agmVt27aFvb19lvabm7m4uGDnzp3YsWMHmjdvrtJNub29PVq0aIE5c+bg+vXrMmNaKdK7d28cO3YMzZs3h6mpqdx1TE1N0bFjR5w4cSLL40l16dIF+/btQ/369RWeW6ampujcuTNOnjyJhg0bZul4QNoDwdmzZ7Fw4ULUrFlT4ffMqFixYvjpp5+wevVqXL161WBnRSxYsCA2b96M7du3o3Hjxpk+AFhZWaFJkyZYtmyZTIBHFYZUntu0aYNDhw6hRYsWSh+QSpQogb/++gu7du1Se1gAfWvevDlOnTqFzp07K62zmzRpAh8fH3Tp0kXHOdSuTp06yQTd1qxZo/CByt3dHUePHsXq1avRoEEDlSYSKFCgANq3b4/Fixfj+vXrMt0sFdFFWWNd9T+5qa5K16ZNG5w7dw5DhgzJdMgaNzc3TJ48GWfOnJEMj2PIcmp9XK1aNezbtw+7du1C165dVcqTkZERypQpg+HDh+Pff//Fli1bUKlSJZWOl933QM2bN4ePjw9Gjx6NWrVqqVQnWltbo2PHjjhw4ABmzZqlUr0DpE3ecu7cOUycOBFNmjSBs7MzbGxs5AZVlSlbtixOnDiBWbNmKW0tCqTVI15eXjh37hy6deum1nFyIl0+DxCRakRitismUllCQgLu37+PwMBAREZGwsrKCk5OTqhevbpWW0p8//4dP/74o6B1xoEDB2Rm8iPFUlJS8PTpU7x//x4RERGIjIyUdLUrXLgwSpUqBWdn50zfTGcmMjISd+7cwZcvX/D9+3fY2NigRIkSqFmzpsyNTtOmTQVjf164cEFhCx1FQkNDcefOHXz9+hXR0dGwsrKCq6ur3ONpU1xcHB4+fIgvX75IWkJZWVnBxsYGzs7OcHNzy7GzqicmJuLhw4cICgoSfLcCBQrA1dUVZcqUgZmZmcb7N9TyHBERgbt37+LTp0+Ijo6Gubk5nJycUKFCBbi5uek1b9oSFxeH27dv4/PnzwgPD4elpSWcnZ1Ro0YNODo66jt7BiExMRGPHj3Cp0+fEBERgaioKFhYWMDGxgZFixZFqVKlNBqfWNGxsrOsAayrcmNdldGrV6/w4sULhIWFITo6GnZ2dsifPz8qVaqkcBKPnCCn18fv37/Hq1ev8PnzZ0nXXltbW9jZ2aFo0aJwd3eHtbV1lo+ji3ugpKQkvHnzBu/fv0dwcDBiYmKQkpICKysr5MuXD2XKlIGbm1uW6ypt+vr1K/z9/fHt2zdERETAysoKjo6OcHNzQ/ny5Q1uXFNd0tXzABEpxqAjkQHaunWrYAbGihUrajwDMhkObQQdKedheSainIB1FREREWkbQ/pEBiY1NRV79uwRLMvKpDREpD8sz0SUE7CuIiIiouzAoCORgTl27Bjevn0rSefLlw8dOnTQX4aISGMsz0SUE7CuIiIiouzAoCORAXnz5g0WLFggWNa/f3+5MyUTkWFjeSainIB1FREREWUXE31ngCivCg4OxsWLFwEAMTExePXqFU6ePInExETJOgULFkT//v31lUUiUhHLMxHlBKyriIiISJcYdCTSk7dv32LGjBlK15k1axasrKx0kp+IiAj4+fnhy5cviI6ORqFChSSzvHJGNyLlDK08ExHJw7qKiIiIdIlBRyIDZGxsjIkTJ6Jp06bZfqy3b99i8eLF8PX1RVJSksznhQoVQo8ePTBkyBCYmZlle36IchtdlmciIk2xriIiIiJtY9CRyECYmZmhcOHC8PDwQN++fVGhQoVsP+axY8cwffp0xMbGKlzn69ev8Pb2xsWLF+Ht7Y1ixYple76Icjp9lGciInWxriIiIqLsJBKLxWJ9Z4KIdO/KlSsYNmwYUlJSJMtKliyJOnXqwMHBAe/fv4evry/i4+Mln5ctWxZ79uyBjY2NPrJMRERERERERDkEg45EeVBISAjatGmDqKgoAIBIJMLEiRPRv39/wfiNYWFhGDNmDG7fvi1Z1r59eyxevFjneSYiIiIiIiKinIOzQxDlQWvXrpUEHAFg9OjR+Pnnn2UmjHF0dMTGjRvh5uYmWXby5Ek8e/ZMZ3klIiIiIiIiopyHQUeiPCY0NBT79++XpIsXL44hQ4YoXN/c3BzTpk2TpMViMVavXp2teSQiIiIiIiKinI1BR6I85sKFC0hMTJSku3fvDlNTU6Xb1KtXD66urpL05cuXERcXl215JCIiIiIiIqKcjUFHojzm4sWLgnTr1q1V2i7jevHx8bh+/bpW80VEREREREREuQeDjkR5zN27dyX/X6BAAbi4uKi0XfXq1QXpO3fuaDVfRERERERERJR7mOg7A0SkO1+/fhVMIFOhQgWVt3V3dxekAwMD1T5+C+PuSj8vUMwRe96vBQD0Kj4M34LC1D5GlojFuj0ekRoKFHPEng/rAAC9XIbqvnwQGTiWESLFWD5InnOpB/SdBZ1K/VJW31mQYVT4hb6zQJSt2NKRKA95/fq1IF20aFGVty1QoIBg7EfpfRERERERERERpWPQkSgPCQ4OFqSdnJxU3lYkEgnWl94XEREREREREVE6dq8mykNiYmIEaWtra7W2z7h+cnIyEhMTYWZmpvL2BYo5Kv3csbCD3P/XGXavJgOm9/JBZOBYRogUY/kgaXmxi30qUvWdBRlsBUa5HYOORHlIXFycIG1ubq7W9tLrx8TEqBV0TB+vURWrbi9QeV2ivGbVnYX6zgKRQWMZIVKM5YMAoIVRN31ngYjyAAbWifKQ+Ph4QVqdgKG89RMSErKcJyIiIiIiIiLKfdjSkSgPkW6pmJSUpNb2iYmJgrS6QctexYcp/dyxsIOkheNIj0kI+xKh1v6zjN2ryYA5FnaQtE4ZWXui7ssHkYFjGSFSjOWDCEgRG173agZkKLfjOU6Uh1hZWQnS0i0fMyPdslHdMSHVGTsm7EuE7seaYdCRcgi9lA+iHIRlhEgxlg8iItIVdq8mykOkg46xsbFqbZ9xIhoTExO1x4QkIiIiIiIioryBLR2J8hAnJydB+suXLypvKxaLERwcrHBfREREREREhioV7NVEpGts6UiUh5QqVUqQ/vTpk8rbfvv2TTAGpKurq9byRURERERERES5C4OORHmIk5MTbG1tJemAgACVt3369Kkg7ebmprV8EREREREREVHuwqAjUR5Ts2ZNyf9/+/YNHz58UGk7Pz8/Qbp27dpazRcREREREVF2STXA/4hyOwYdifKYpk2bCtKnT59WabuzZ89K/t/c3Bw//PCDVvNFRERERERERLkHg45EeUyzZs1gamoqSR84cEAwVqM8N2/exJs3byTpRo0aycyETURERERERESUjkFHojymQIEC6NatmyT9/v17rF+/XuH6CQkJmDNnjiQtEokwfPjwbM0jERERERGRNqWIxQb3jyi3Y9CRKA8aNmwYrK2tJWlvb29s3boVqanCcUXCwsIwaNAgvHr1SrKsbdu2cHd311leiYiIiIiIiCjnMdF3BohI95ycnLBkyRIMHz4cqampEIvFmD9/Pvbs2YO6devCwcEB7969g6+vL+Lj4yXblS5dGrNmzdJjzomIiIiIiIgoJ2DQkSiPaty4MebPn48ZM2YgLi4OAPD27Vu8fftW7voVKlTAypUrYWNjo8NcZkKk5cba4hTt7o+IiIiIiAxCKtidmUjX2L2aKA/z9PSEj48PmjdvLphcJqOCBQti5MiR2L9/P5ydnXWcQyIiIiIiIiLKidjSkSiPK1WqFFatWoXw8HD4+fnhy5cviImJQYECBeDi4oIaNWrA2NhY39kkIiIiIiLSWApbOhLpHIOORAQAyJcvH5o1a6bvbBARERERERFRLsDu1URERERERERERKRVbOlIRERERERERLkaJ5Ih0j22dCQiIiIiIiIiIiKtYtCRiIiIiIiIiIiItIrdq4mIiIiIiIgoV0sRs3s1ka6xpSMRERERERERERFpFYOOREREREREREREpFXsXk1EREREREREuVqqvjNAlAexpSMRERERERERERFpFYOOREREREREREREpFXsXk1EREREREREuVoKcvfs1REREfDz88OXL18QHR2NQoUKwdnZGTVq1ICRUe5sbxYcHAx/f38EBwcjLi4OTk5OcHV1ReXKlfWdNfp/DDoSEREREREREeVAb9++xeLFi+Hr64ukpCSZzwsVKoQePXpgyJAhMDMz00MO02zZsgULFiwQLPPw8MCOHTvU3pe/vz+WL1+OGzduIDVVdrTOEiVKoF+/fujbty9EIpHGeaasy53hbiIiIiIiIiKiXOzYsWPo3Lkz/v33X7kBRwD4+vUrvL290bNnTwQFBek4h2k+fvyIFStWaGVfmzZtQq9evXDt2jW5AUcAePfuHebMmYNffvkF379/18pxSTNs6UhEREREREREuVpKLutdfeXKFUyaNAkpKSmSZSVLlkSdOnXg4OCA9+/fw9fXF/Hx8QCAJ0+eYNiwYdizZw9sbGx0mtfp06cjNjY2y/vZv38/Fi1aJFhWoUIF1KxZE5aWlggMDMSVK1eQnJwMALh+/TrGjBmDjRs3wsSE4S994F+diIiIiIiIiCiHCAkJwfjx4yUBR5FIhIkTJ6J///6C8RvDwsIwZswY3L59GwDw4sULTJ8+HYsXL9ZZXo8cOYJr164BAAoWLIiQkBCN9vPs2TPMmjVLkjYzM8O8efPQoUMHwXofPnzAiBEj8OLFCwDAzZs34e3tjXHjxmn4DSgr2L2aiIiIiIiIiCiHWLt2LaKioiTp0aNH4+eff5aZMMbR0REbN26Em5ubZNnJkyfx7NkzneQzLCxMMo6jSCTC5MmTNd7XsmXLBF3IZ8+eLRNwBAAXFxds27YN+fPnlyzbtm2bxsFOyhoGHYmIiIiIiIgoV0s1wH+aCA0Nxf79+yXp4sWLY8iQIQrXNzc3x7Rp0yRpsViM1atXa3h09cybNw/h4eEAgB49eqBq1aoa7ScgIAC+vr6SdO3ateHp6alwfUdHR4wfP16SjouLw+bNmzU6NmUNg45ERERERERERDnAhQsXkJiYKEl3794dpqamSrepV68eXF1dJenLly8jLi4u2/IIpI05efz4cQBp3aonTJig8b7OnDkjSPfu3TvTbTp06AA7OztJ+uzZsxofnzTHoCMRERERERERUQ5w8eJFQbp169YqbZdxvfj4eFy/fl2r+cooNjYWM2bMkKQnT54sCACqK+N3NjU1RbNmzTLdxtzcHI0bN5akg4KCEBAQoHEeSDMMOhIRERERERFRrpYCkcH908Tdu3cl/1+gQAG4uLiotF316tUF6Tt37mh0fFUsW7YMQUFBAIAGDRqgXbt2Gu8rMjJSMikMALi7u8Pc3FylbatVqyZIZ+d3JvkYdCQiIiIiIiIiMnBfv34VTCBToUIFlbd1d3cXpAMDA7WWr4z8/f2xY8cOAGmtDadPn56l/UnnU53vXLFiRaX7ouzHoCMRERERERERkYF7/fq1IF20aFGVty1QoIBg7EfpfWlDcnIypk6ditTUtGlyhg8fjuLFi2dpn1n5zkWKFFG6L8p+JvrOABERERERERFRdkoV6zsHWRccHCxIOzk5qbytSCSCk5MTPn78KHdf2rBx40Y8f/4cAODm5oZffvkly/vMyncuWLAgjI2NkZKSIndflP3Y0pGIiIiIiIiIyMDFxMQI0tbW1mptn3H95ORkwSzYWfX27VusXr0aQFqAc9asWTAzM8vyfqW/s42NjcrbGhkZwdLSUpKOjY3Ncn5IPQw6EhEREREREREZuLi4OEFa1QlVFK0vHdDTlFgsxrRp05CQkAAA6NKlC2rVqqWVfUt/Z3UDmRm/s7a+L6mO3auJiNKJNJtBTiFxLujDQURERESUC2g6W7QhiY+PF6TVDcBJr58eJMyqgwcP4vbt2wCAfPny4ffff9fKfgHtfmdtfV9SHVs6EhEREREREREZOOmWiklJSWptL92dWhvdn0NCQrBo0SJJeuLEiciXL1+W95tOm99Z3ZahlHVs6UhEREREREREuVpuaOloZWUlSEu3AsyMdEs/dceElGf27NmIjIwEAHh4eKBz585Z3mdG0t9Z3daKGdeX3hdlP7Z0JCIiIiIiIiIycNJBM3UnRsk4pqGJiUmWW/6dP38eZ8+eBQCYmppi5syZWdqfPNLfWZ1xGVNTUwWBWQYddY9BRyIiIiIiIiIiA+fk5CRIf/nyReVtxWIxgoODFe5LEwsXLpT8/5AhQ1CqVKks71NaVr5zSEgIkpOTJenChQtrLV+kGnavJiIiIiIiIqJcLVWc87tXSwf1Pn36pPK23759E4yH6OrqmuX8hIeHS/5/7dq1WLt2rVrb3759G+7u7pJ07dq1sW3bNsE6WfnOnz9/FqS18Z1JPQw6EhEREREREREZOCcnJ9ja2iIqKgoAEBAQoPK2T58+FaTd3Ny0mreUlJQsb5eamirzuXQ+1fnOT548Ubovyn7sXk1ERERERERElAPUrFlT8v/fvn3Dhw8fVNrOz89PkK5du7ZW85Vd7O3tUaZMGUn66dOnKk8mc//+fUE6p3zn3IQtHYmIiIiIiIgoV8sNs1cDQNOmTXHp0iVJ+vTp0xgyZEim26VP+AIA5ubm+OGHH7Kcl7t376q1/sePH9GsWTNJ2sPDAzt27Mh0u6ZNm+Lly5cAgKSkJFy4cAFt27ZVuk1CQgIuX74sSRctWlTQlZt0gy0diYiIiIiIiIhygGbNmsHU1FSSPnDggGCsRnlu3ryJN2/eSNKNGjXKUTM5t27dWpDevXt3ptscP34ckZGRknSrVq20ni/KHIOOREREREREREQ5QIECBdCtWzdJ+v3791i/fr3C9RMSEjBnzhxJWiQSYfjw4QrX//jxI8qVKyf517RpU+1kPAvc3d3RqFEjSfrOnTs4cuSIwvXDwsKwZMkSSdrCwgIDBw7MziySAgw6EhEREREREVGulgIjg/unqWHDhsHa2lqS9vb2xtatW2UmYgkLC8OgQYPw6tUrybK2bdvmyG7G48aNg4nJ/0YInDZtGk6cOCGz3ocPH9C/f3+EhoZKlnl5eaFQoUI6yScJcUxHIiIiIiIiIqIcwsnJCUuWLMHw4cORmpoKsViM+fPnY8+ePahbty4cHBzw7t07+Pr6Ij4+XrJd6dKlMWvWLD3mXHMVKlTA1KlTMWPGDABAYmIiJkyYgI0bN6JWrVqwsLBAYGAgrly5guTkZMl2Hh4e+PXXX/WUa2LQkYiIiIiIiIgoB2ncuDHmz5+PGTNmIC4uDgDw9u1bvH37Vu76FSpUwMqVK2FjY6PDXGpXr169EBUVheXLl0sCiwEBAQgICJC7ft26dbF8+XLBGJikW+xeTURERERERES5WqpYZHD/ssrT0xM+Pj5o3ry5wsBawYIFMXLkSOzfvx/Ozs5ZPqa+DRkyBLt370b9+vVhZCQ/pOXi4oIpU6Zg69atcHBw0G0GSYAtHYmIiIiIiIiIcqBSpUph1apVCA8Ph5+fH758+YKYmBgUKFAALi4uqFGjBoyNjVXen7OzM54/f54tedXWvqtWrYotW7YgODgYDx8+RHBwMOLj41GoUCG4urqiSpUqWsgtaQODjkREREREREREOVi+fPnQrFkzfWdDp5ycnNCyZUt9Z4OUYNCRiIiIiIiIiHK1FGS9OzMRqYdjOhIREREREREREZFWMehIREREREREREREWsXu1USUY4mMtNtFQpyi1d0REREREZGBSBGzzRWRrrHUERERERERERERkVYx6EhERERERERERERaxe7VRERERERERJSrpbLNFZHOsdQRERERERERERGRVjHoSERERERERERERFrF7tVERERERERElKulQKTvLBDlOWzpSERERERERERERFrFlo5ERERERERElKuliNnmikjXWOqIiIiIiIiIiIhIqxh0JCIiIiIiIiIiIq1i92oiIiIiIiIiytVSOZEMkc6xpSMRERERERERERFpFYOOREREREREREREpFXsXk1EREREREREuVoK21wR6RxLHREREREREREREWkVg45ERERERERERESkVexeTURERERERES5WoqYba6IdI2ljoiIiIiIiIiIiLSKLR2JCMHBwfD390dwcDDi4uLg5OQEV1dXVK5cWd9Z0y2Rlt/DiFO0uz8iIiIiIiKiHIJBRyIDFRMTg6dPn8Lf3x/+/v549OgRgoKCJJ8XK1YMFy9ezNIx/P39sXz5cty4cQOpqakyn5coUQL9+vVD3759IRKJsnQsIiIiIiIifUllR08inWPQkcjAbNmyBT4+Pnj16pXcQKC2bNq0CUuWLEFycrLCdd69e4c5c+bA19cXS5cuhb29fbblh4iIiIiIiIhyDwYdiQzMnTt38OLFi2w9xv79+7Fo0SLBsgoVKqBmzZqwtLREYGAgrly5IglIXr9+HWPGjMHGjRthYsJqg4iIiIiIiIiUY/SAKAewsrJCxYoV8eTJE8TGxmZpX8+ePcOsWbMkaTMzM8ybNw8dOnQQrPfhwweMGDFCEgC9efMmvL29MW7cuCwdn4iIiIiISNdSxBwuikjXGHQkMjDm5uaoUqUKKleujMqVK6NSpUpwc3ODkZERmjZtmuWg47Jly5CUlCRJz549WybgCAAuLi7Ytm0b2rdvj9DQUADAtm3b0LdvXxQsWDBLeSAiIiIiIiKi3I1BRyIDs3Tp0mzbd0BAAHx9fSXp2rVrw9PTU+H6jo6OGD9+PP78808AQFxcHDZv3oyJEydmWx6JiIiIiIiIKOfj9E1EeciZM2cE6d69e2e6TYcOHWBnZydJnz17Vuv5IiIiIiIiyk4pMDK4f0S5Hc9yojzk4sWLkv83NTVFs2bNMt3G3NwcjRs3lqSDgoIQEBCQHdkjIiIiIiIiolyCQUeiPCIyMlIwK7a7uzvMzc1V2rZatWqC9J07d7SZNSIiIiIiIiLKZTimI1EeERgYKEhXqFBB5W0rVqyodF9ERERERESGLFXMNldEusZSR5RHvH79WpAuWrSoytsWKVJE6b6IiIiIiIiIiDJi0JEojwgODhaknZycVN62YMGCMDY2VrgvIiIiIiIiIqKM2L2aKI+IiYkRpG1sbFTe1sjICJaWloiOjgYAxMbGapSHAsUclX7uWNhB7v8rIsoQCNUGcapYq/tDaop290d5mrrlgyivYRkhUozlg6R9CwrTdxZ0jrNFE+keg45EeURcXJwgbWZmptb25ubmkqCjdABTVXver1V53VW3F2h0DKK8YNWdhfrOApFBYxkhUozlgwCghVE3fWeBiPIAhvqJ8oj4+HhBWt2gY8b1ExIStJInIiIiIiIiIsqd2NKRKI8wNzcXpJOSktTaPjExUeG+VNWr+DClnzsWdpC0cBzpMQlhXyKUrs/u1ZSXOBZ2kLROGVl7YqblgyivYRkhUozlgwhIEYv0nQWiPIdBR6I8wsrKSpBWt7VixvWl96UqdcaOCfsSken6DDpSXqVK+SDKy1hGiBRj+SAiIl1h0JEoj5AOFKozLmNqaqqge7amQUciIiIiIiJ9SOXockQ6x6AjUR7h5OQkSH/58kXlbUNCQpCcnCxJFy5cWGv5ytVEWu7CIdZyS0wiIiIiIiKibMJQP1EeUapUKUH606dPKm/7+fNnQdrV1VUreSIiIiIiIiKi3IktHYnyCDc3N0E6ICBA5W2fPHmidF9ERERERESGLEXMNldEusZSR5RH2Nvbo0yZMpL006dPVZ5M5v79+4J07dq1tZo3IiIiIiIiIspdGHQkykOaNm0q+f+kpCRcuHAh020SEhJw+fJlSbpo0aJwd3fPlvwRERERERERUe7AoCNRHtK6dWtBevfu3Zluc/z4cURGRkrSrVq10nq+iIiIiIiIslMqRAb3jyi3Y9CRKA9xd3dHo0aNJOk7d+7gyJEjCtcPCwvDkiVLJGkLCwsMHDgwO7NIRERERERERLkAg45Eecy4ceNgYvK/OaSmTZuGEydOyKz34cMH9O/fH6GhoZJlXl5eKFSokE7ySUREREREREQ5F2evJjIwQUFBaNGihdzPUlJSBOspGltx69at8PDwkPtZhQoVMHXqVMyYMQMAkJiYiAkTJmDjxo2oVasWLCwsEBgYiCtXriA5OVmynYeHB3799VcNvxUREREREZH+cPZqIt1j0JHIwIjFYkFwURlF64nFYqXb9erVC1FRUVi+fLkksBgQEICAgAC569etWxfLly+HqampSvkiIiIiIiIioryNoX6iPGrIkCHYvXs36tevDyMj+VWBi4sLpkyZgq1bt8LBwUG3GSQiIiIiIiKiHIstHYkMjLOzM54/f66TY1WtWhVbtmxBcHAwHj58iODgYMTHx6NQoUJwdXVFlSpVdJIPIiIiIiKi7JTCNldEOsegIxHByckJLVu21Hc2iIiIiIiIiCiXYKifiIiIiIiIiIiItIotHYmIiIiIiIgoV0sVi/SdhWwVEREBPz8/fPnyBdHR0ShUqBCcnZ1Ro0YNhWP4Z4ePHz/i3bt3+Pz5M75//46EhARYWlrC3t4epUuXRvny5WFmZqaz/JB+MehIRERERERERJQDvX37FosXL4avry+SkpJkPi9UqBB69OiBIUOGZEuwLzExEWvWrIGfnx8eP36M6OhopetbWlqiTZs2+OWXX1C6dGmVj1OuXDmN8/jkyROYmDD8pQ/sXk1ERERERERElMMcO3YMnTt3xr///is34AgAX79+hbe3N3r27ImgoCCt5yE6OhqrV6/Gf//9l2nAEQDi4uLg4+MDT09PrFu3Tuv5IcPCUC8RERERERER5Wq5bfbqK1euYNKkSUhJSZEsK1myJOrUqQMHBwe8f/8evr6+iI+PB5DW2m/YsGHYs2cPbGxssi1f9vb2KFeuHFxdXWFvbw8zMzNERkbi5cuXuHv3riQ4mpSUhCVLliAmJgbjx49X6xgikUitLuMiUe7uWm/IGHQkIiIiIiIiIsohQkJCMH78eEnAUSQS4f/Yu+/4qKr8/+PvO2nUEEIgtAAB6YIUEREVFHQRG6igqAgosFRZ0F3wq9jWFcsPVqkWUNBdUVBkpQgqUlZgBQyCkhB6J6EECAkJIZn7+yObu5mQMpPcZJLJ6/l4zMN7Juee+7lJJjKfOed8Jk6cqEGDBrkk4xISEjRu3Dht2bJFkrRnzx699NJLmjp1qm2xGIah1q1bq1evXrr11lvVvHnzPJN8CQkJevvtt7VkyRLruQ8++EDdunVTx44d3b7m6NGjNXbs2CLHjuLnW6l+ACgCw2HY+gAAAAAAu7333nu6ePGi1R47dqyGDBly1ey/0NBQzZ07V02aNLGeW7FihXbv3m1bLNWrV9eSJUs0fPhwtWjRIt9ZhaGhoZoyZYoefPBB6znTNPXxxx/bFg9KF5KOAAAAAADApzlNR6l7FMbZs2e1aNEiq92gQQMNHz48z/5BQUGaPHmy1TZNU7Nnzy7Ute3y7LPPys/Pz2r/9NNPXowGxYmkIwAAAAAAQBmwZs0apaWlWe3+/fsrICAg33O6dOmiyMhIq71+/XqlpKQUW4wFCQ0NVePGja12SkqKzp0757V4UHxIOgIAAAAAAJQBP/74o0u7V69ebp2XvV9qaqo2btxoa1yeylnMxjRNL0WC4kTSEQAAAAAA+LQMGaXuURjbtm2zjsPCwhQREeHWee3bt3dpb926tVDXt8uJEyes4ypVqigkJMR7waDYkHQEAAAAAAAo5U6dOuVSQKZly5Zun9uqVSuX9v79+22Ly1Pbtm1TfHy81e7evftVRXDgG/y9HQAAAAAAAADyd+DAAZd23bp13T43LCxMAQEBunLlSq5jlZT4+Hg9//zzVjswMFCjRo3yaIyff/5ZMTExio2NVUJCgvz9/VW9enU1bNhQnTp1Uq9evdSgQQO7Q0chkHQEAAAAAAA+rbDVokuT7LMDJSk8PNztcw3DUHh4uI4dO5brWMUpOTlZBw4c0Lp16/TJJ58oMTFRkhQQEKA333xTTZo08Wi83JaGJyYm6vDhw9qwYYPeeecd3XXXXfq///s/1ahRw5Z7QOGQdAQAAAAAACjlkpOTXdqVK1f26Pzs/dPT05WWlqbAwEBbYsuSlpamdu3aWW3TNOV0Oq/q17FjRz333HNq06aNrdeXpIyMDC1fvlxbtmzRrFmz1LZtW9uvAfeQdAQAAAAAAD6tsIVbSpOUlBSXdlBQkEfn5+yfnJxse9LRNE1lZGTk2+eee+7RmDFjFBkZ6dHYDRs2VI8ePXTjjTfqmmuuUWhoqPz8/JSQkKDff/9dK1eu1KpVq6zrnzp1SsOHD9eiRYtYbu0lJB0BlF2GzUskzKs/gQMAAACA0iA1NdWl7WnCMGf/y5cvFzmmwli+fLlWrlyp+++/Xy+88IKqVKlS4Dnz5s1T165dZRhXJ49r166t2rVrq2fPnho8eLCefvppnTx5UpJ07tw5/eUvf9Hnn39u+32gYGV/UwMAAAAAAAAfl3OmYlZRGHelpaW5tO2e5ShlxhgbG2s9du3apU2bNmn+/PkaOHCgKlWqJElyOp36+uuvNXDgQJeK3Hm5+eabc0045tS2bVt99NFHqlq1qvXc9u3btX79+sLfFAqNpCMAAAAAAPBpTtNR6h6eykrYZck587EgOWc2eronZGH4+/urRo0a6tKli1544QUtW7ZMLVq0sL4eHR2tV155xdZrNm7cWMOHD3d5bsWKFbZeA+4h6QgAAAAAAFDK5Uw6Xrp0yaPzsxei8ff393hPSDvUr19f8+bNU7Vq1aznli1bpn379tl6nQcffNBlZuTmzZttHR/uIekIAAAAAABQyoWHh7u04+Li3D7XNE3Fx8fnOVZJCgsL02OPPeby3OrVq229Ro0aNRQREWG1T5065fFydBQdSUcAAAAAAODTMkxHqXt4qnHjxi7tEydOuH3umTNnXJJunlaOtlvXrl1d2rGxsbZfo0aNGi7t8+fP234N5I+kIwAAAAAAQCkXHh7uUiAlJibG7XOjo6Nd2k2aNLEtrsLImRBMSkqy/RopKSkubW8sJy/vSDoCAAAAAACUAR07drSOz5w5o6NHj7p1XlRUlEu7U6dOtsblqZxJxuDgYFvHdzqdLjNBAwICbL8GCkbSEQAAAAAA+DSnjFL3KIzbb7/dpf3tt9+6dV72PRODgoKuWt5c0nLOvKxTp46t40dFRSkxMdFqZ6+YjZJD0hEAAAAAAKAM6NGjhwICAqz24sWLCyyQsnnzZh08eNBqd+vW7apK2CXJNE19+eWXLs/ddNNNtl5jzpw5Lu2bb77Z1vHhHpKOAFBcDIe9DwAAAADlWlhYmPr162e1jxw5og8++CDP/pcvX9Zrr71mtQ3D0MiRI/Psf+zYMTVv3tx65JxZmdPOnTs9iD7Tu+++63JenTp11Llz51z7nj9/3qXqtjumT5+un376yWpXqFBBAwYM8DhOFB3vYgEAAAAAgE/zdqVqO6pXZxkxYoQqV65stWfMmKH58+fL6XS69EtISNDQoUO1b98+67nevXurVatWhb52Tk899ZSefPJJrVy58qrCLTnt27dPY8aMuWoW4qRJkxQYGJjrOSdPnlTPnj314osv6pdffpFpmnmOf+TIEY0bN06zZs1yeX7o0KEKDw93845gJ39vBwAAAAAAAAD3hIeHa9q0aRo5cqScTqdM09SUKVO0cOFC3XjjjQoJCdHhw4e1du1apaamWuddc801evXVV22NxTRNbdy4URs3blRgYKCaNm2q5s2bKyQkRJUrV1ZKSopOnz6tXbt2uSQ/s4wdO1a9evXK9xppaWn64osv9MUXXygkJEStWrVSo0aNFBwcLIfDoXPnzun333/Xrl27rkq83nXXXRozZoyt9wz3kXQEAAAAAAAoQ7p3764pU6bo5ZdftmYYHjp0SIcOHcq1f8uWLTVz5kxVqVKl2GJKS0vTrl27tGvXrgL7BgcHa+LEiXrooYc8usb58+e1adMmbdq0Kd9+fn5+GjVqlEaOHCnDKFzRHhQdSUcAAAAAAODTnKbvJZ769Omjtm3baurUqVq/fn2uBWVq1qyp/v37a8SIEXkuYS6KKVOmaO3atdq6dauOHDlSYP9GjRqpb9++6tevn2rUqFFg/9q1a2vIkCHasmWLYmNjlZ6enm//atWq6e6779bAgQPVuHFjt+8DxYOkIwAAAAAAQBnUuHFjzZo1S+fOnVNUVJTi4uKUnJyssLAwRUREqEOHDvLz83N7vPr16ys2Ntbt/nfccYfuuOMOSdK5c+e0b98+HTt2TOfOnVNqaqqCgoJUtWpVhYeH69prr3Ur0Zhd9erVNWnSJEmZMymzxj916pSSk5PldDoVHByskJAQNW/eXE2aNGFmYylC0hEAAAAAAKAMq169unr06OH1GDp16qROnToVy/iBgYFq1aqVrYVwULxIOgIAAAAAAJ+WocJXiwZQOLzqAAAAAAAAANiKmY4AkMWw+3OYDHuHs3tvEtO0dzwAAAAAAP6LpCMAAAAAAPBpvli9GijtWF4NAAAAAAAAwFYkHQEAAAAAAADYiuXVAAAAAADApzmZcwWUOF51AAAAAAAAAGxF0hEAAAAAAACArVheDQAAAAAAfFoG1auBEsdMR/iUzz//XMnJyd4OAwAAAAAAoFwj6Qif8vLLL+vmm2/WCy+8oB07dng7HAAAAABAKeA0jVL3AHwdSUf4nNTUVH311Vd65JFHdO+99+of//iHEhMTvR0WAAAAAABAuUHSET7LNE3t3btXf/vb33TLLbfoL3/5i7Zu3ertsAAAAAAAAHweSUf4lEGDBqlatWoyTVOSZBiGTNPU5cuXtWzZMj3xxBPq1auXPvroIyUkJHg5WgAAAABASXCajlL3AHwdv+XwKc8995w2bNigqVOn6sYbb7SeN4zM/TJM09ShQ4f09ttvq1u3bvrTn/6kjRs3eitcAAAAAAAAn+Tv7QAAuwUGBuruu+/W3XffraNHj2rx4sX6+uuvdfr0aUn/m/145coVrV69WqtXr1a9evXUr18/9e3bV7Vq1fLyHQAAAAAAAJRtzHSET4uIiNCECRO0bt06zZw5U927d5fDkflrn33247Fjx/TOO+/o9ttv1+jRo7V+/XpriTYAAAAAoGzLkFHqHoCvY6YjygU/Pz/17NlTPXv2VHx8vL788kt99dVXOnHihKT/zX5MT0/Xjz/+qB9//FHh4eF68MEH9eCDD6pu3bpevgMAAAAAAICyg5mOKHfCw8M1evRorVmzRnPnztWdd94pPz8/Sa6zH+Pi4jR79mz17NlTQ4cO1ffff6+MjAxvhg4AAAAAAFAmMNMR5ZZhGLr55pt18803KyEhQUuWLNFXX32lgwcPuiQfTdPUxo0btXHjRtWoUUMPPvigHn74YWY/AgAAAEAZ4TRZzgyUNGY6ApJCQ0M1dOhQLV++XEOGDLH2czQMwyUBeebMGX3wwQe64447NH78eO3bt8+bYQMAAAAAAJRKzHQEJJ04cUJffvmllixZovj4eCvRmCV7ElKSMjIytGrVKn3//fcaPHiwxo8fby3RBrIYDns/TTVZ3Q8AAAAAKCNIOqLcysjI0Jo1a7Ro0SJt2rTJWkot/a+wjCQ1atRIDzzwgPbv36/Vq1crNTXVSj6mp6dr3rx5OnTokGbOnOm1ewEAAAAA5M1pstATKGkkHVHuHD58WIsXL9bSpUt19uxZSZkzGbOWUpumKT8/P91xxx165JFH1LlzZ+vcF154QUuXLtWCBQt07Ngxq/+aNWu0fPly3XPPPd66LQAAAAAAgFKDpCPKhbS0NK1evVqLFi3Stm3bJF29ZNo0TdWvX1/9+/fXQw89pNDQ0KvGqVq1qgYOHKgBAwZozpw5mjVrlnX+kiVLSDoCAAAAAACIpCN83N69e7Vo0SJ98803SkxMlJT7rMbu3bvrkUce0c033+zWuP7+/ho7dqz27Nmj77//XpIUHR1dbPcBAAAAACg8p6heDZQ0ko7wOampqVqxYoUWL16sHTt2SMp9VmOdOnX00EMPqV+/fqpVq1ahrtWjRw8r6Xjx4kUbogcAAAAAACj7SDrCp7z44otauXKlkpOTJV09q9EwDHXr1k0PP/ywunXrJoejaJsJZ09WOp3OIo0FAAAAAADgK0g6wqcsWrTIJcEoZSYea9asqQcffFAPP/yw6tSpY9v1sq4BAAAAACi9MkzeuwEljaQjfFrXrl318MMPq0ePHvLz87N9/Pr162vMmDG2jwsAAAAAAFCWkXSEz6levboeeOABPfzww4qIiCjWa0VERJB09CUOmz/9zLB3OAAAAAAAygqSjvAp06ZN0x133KGAgABvh2KL8+fPa8+ePTp8+LDOnz8v0zRVrVo11a1bV+3atVPVqlVtuc6RI0cUHR2tuLg4OZ1OhYeHq2nTpmrWrJkt4wMAAACANznNou3nD8BzJB3hU3r37u3tEIrE6XRq27Zt+v777/Wf//xHe/bsybOvYRjq0qWLBg8erG7duhXqehs2bNDs2bO1ffv2XL/evHlzDRs2TPfee2+hxgcAAAAAAOUTSUegFOnVq5cOHz7sVl/TNLVp0yZt2rRJd999t1599VVVqVLF7XPfeOMNLViwQKZp5tkvNjZWzz77rNatW6cpU6YoMDDQrfEBAAAAAED5RtIRKEUSEhKueq5Ro0Zq27atwsLCFBQUpLi4OG3evFlxcXFWnxUrVuj06dOaO3eugoKCCrzOO++8o/nz57s816FDB7Vp00Z+fn7avXu3Nm/ebCUkly9froCAAL3xxhtFu0EAAAAA8AIn1auBEkfSET7l9OnTmjZtmtUeMGCA2rZt6/E4O3bs0Oeff261J06cqJCQEDtCdEu9evXUr18/9e3bV7Vr177q6xkZGVq0aJGmTJmiy5cvS5K2bNmid955RxMnTsx37PXr1+u9996z2sHBwZo+fbq6dOni0i86OlojR460kptff/21OnTooP79+xf19gAAAAAAgI9jJ1X4lC+++EJff/21li5dqvXr16t58+aFGqdZs2Zau3atli5dqqVLl2rJkiU2R5q7unXr6vXXX9f333+vkSNH5ppwlCQ/Pz8NGDBAM2bMkMPxv5fxp59+qvj4+DzHN01TU6dOtdqGYWj27NlXJRwlqVWrVpo/f77LzMkZM2ZYSU4AAAAAAIC8kHSET/n222+t4/vuu8+tpca5qVixou677z6ZpinTNLV8+XK7QszXkiVL9OCDD8rPz8+t/t26ddPdd99tta9cuaI1a9bk2X/NmjWKjY212vfff786deqUZ//IyEg99dRTVvvUqVNavHixW7EBAAAAQGnhlFHqHoCvI+kInxEfH6/9+/db7TvvvLNI4/3hD3+wjnfv3p3rfot28/f3fMeD7ElHSfrtt9/y7Js9KStJjz32WIHjP/LIIy5J0FWrVnkYIQAAAAAAKG9IOsJn7N692zr29/fXtddeW6Tx2rRpYyUBTdN0mSFYmjRo0MClfebMmVz7paen69///rfVrlOnjlv7XYaHh6tdu3ZWOyoqSufOnStcsAAAAADgBU7TKHUPwNeRdITPOHbsmKTMfQrr1aunwMDAIo0XGBioevXqWe0jR44Uabzikpyc7NLOa7bk3r17deHCBavdvn17t6+RPemYkZGhqKgoz4KEPQyHzQ/D3gcAAAAAAP9F0hE+I3vyLTg42JYxq1WrZh1fvHjRljHtlnMGZl7FZ7IvPZekli1bun2N1q1b5zsWAAAAAABAdp5vIAeUUtln+KWkpNgyZmpqqnVsmqYtY9rtm2++cWnfeOONufY7cOCAS7tu3bpuX6NOnTou7YMHD7p9LgAAAAB4m9NkzhVQ0njVwWeEhoZKykwOnjp1ypYx4+PjrePq1avbMqadtmzZoi1btljtqlWr6uabb861b/Z7kfKeEZmbnH3j4uI8iBIAAAAAAJQ3zHSEzwgPD7eOExMTFR0drVatWhV6vOjoaJc9EGvWrFmk+Ox26dIlTZ482eW5IUOGqHLlyrn2z7n3Y179cpOz76VLl9w+N7uweqH5fj20dkiux3kx/AMKFUeeHDbvS5iRYetwptPm2bam0+bxSudsYF/h6esDKG94jQB54/WBnM4cT/B2CADKAZKO8Bnt2rVTQECA0tPTJUkLFy7UX//610KP99lnn1nHfn5+6tChQ5FjtNPLL7+sQ4cOWe3GjRtr6NChefbPueTck0I7QUFBLu3CJh0XHnnP7b6ztrxRqGsA5cGsrW96OwSgVOM1AuSN1wck6Q5HP2+HUOKoFg2UPJZXw2dUrFhRHTp0kGmaMk1TS5Ys0datWws11pYtW/T111/LMAwZhqHrrrtOVatWtTniwvv444/1r3/9y2oHBgbq7bffvio5mF32/SmzznFXzr45xwIAAAAAAMiOmY7wKU8++aR+/vlnGYahjIwMjRo1Su+++65uuukmt8fYtGmTxo0bJ6fTKdM0ZRiGhgwZUoxRe2blypV66623XJ579dVXde211+Z7Xs6E5JUrV9y+ZlpaWr5juWtAgxH5fj20dog1w3H0DZOUEHc+3/4sry7ygDaPx/Lq4hRaO8SanTK608QCXx9AecNrBMgbrw8AgDeQdIRP6datm66//npt27ZNhmHo4sWLGjp0qO6//349/vjjat26dZ7n7tq1S59++qm++eYbOZ1Oa5Zj+/bt1bNnzxK8i7xt2rRJf/nLX+R0/i9Z9Mwzz6hv374FnlupUiWX9uXLl92+bs6+Ocdylyd7xyTEnS+wP0nHIg9o83gkHUuKO68PoDzjNQLkjdcHyiunWF4NlDSSjvA5f//73/XQQw/p1KlTMgxDTqdTS5cu1dKlS1WjRg21bt1aoaGhqly5spKTk5WQkKBdu3bp7NmzkmTNbjRNU3Xq1NG7777r5TvKtGPHDo0ePdplhuJTTz2l4cOHu3V+zkRhzsIy+cnZt7BJRwAAAAAAUD6QdITPqVmzpj744AONGjVKx48fl2FkfqJlmqbOnDmjDRs2XHWO+d8ZWlmzG03TVEREhObMmVMqqlbv2bNHw4cPdyng0q9fP/3lL39xe4zs1b0lKS4uzu1zc/atXbu22+eWa4bd2+baO3MSAAAAAIDiQiEZ+KTmzZtr6dKl6t27t6T/zV7MSkDmlD3ZaBiG7rvvPn399de65pprSjLsXB05ckRPPvmkzp8/bz1311136dVXX/VonMaNG7u0T5w44fa5J0+ezHcsAAAAACjNnKZR6h6Ar2OmI3xW1apVNW3aNI0ZM0affPKJNm3apCNHjuTZv2HDhrrllls0cOBANWzYsAQjzVt8fLwGDx6s06dPW89169ZNb7/9thwOzz4zaNKkiUs7JibG7XN37drl0ibpCAAAAAAA8kPSET6vcePGevnllyVJp0+f1pEjR3ThwgUlJyercuXKqlatmho2bKiwsDDvBppDQkKCBg8erOPHj1vP3XDDDZoxY4YCAjwvoNKsWTMFBwcrMTFRkrR9+3a3z83e18/PTx06dPD4+gAAAAAAoPwg6YhypWbNmqVij8aCJCUlaejQoTpw4ID13HXXXaf33ntPQUFBhRrT399ft956q5YvXy4pc8n0jh07dN111+V7Xnx8vH799Ver3b59e4WGhhYqBgAAAADwBl9fznz+/HlFRUUpLi5OSUlJqlWrlurXr68OHTp4vEquKI4dO6bDhw/r5MmTunDhgi5fvqyKFSuqWrVquuaaa9SiRQsFBgbacq34+Hjt3LlT8fHxSklJUXh4uCIjI9WmTRtbxkfRkXQESpnU1FSNGDHCZUlzixYt9OGHH6py5cpFGrtXr15W0lGSPvvsswKTjp9//rmcTqfLGAAAAAAA7zt06JCmTp2qtWvX6sqVK1d9vVatWnr44Yc1fPhw25J92aWlpWnOnDmKiorS77//rqSkpHz7V6xYUXfddZeeeuqpQtdQ2Llzp959911t2rTJ5b1qloYNG2rgwIF6/PHH86zrgJJBIRmgFElPT9e4ceO0detW67nIyEh99NFHqlatWpHH79Gjh5o1a2a1//Wvf7lcK6eDBw9q3rx5VrtmzZrq169fkeMAAAAAABTNN998o759++q7777LNeEoSadOndKMGTP0yCOPuGzdZZekpCTNnj1b//nPfwpMOEpSSkqKlixZoj59+uj999/3+Hrz5s3TgAED9NNPP+WacJSkw4cP67XXXtNTTz2lCxcueHwN2IeZjkApYZqmJk2apHXr1lnP1a9fXwsWLFCNGjVsuYbD4dCECRM0YsQI65qjRo3S9OnT1aVLF5e+0dHRGjlypC5fvmw9N2bMGFWoUMGWWAAAAACgpPja8uoNGzZo0qRJysjIsJ5r1KiROnfurJCQEB05ckRr165VamqqpMzioCNGjNDChQtVpUqVYourWrVqat68uSIjI1WtWjUFBgYqMTFRe/fu1bZt26zk6JUrVzRt2jQlJydrwoQJbo29aNEivfXWWy7PtWzZUh07dlTFihW1f/9+bdiwQenp6ZKkjRs3aty4cZo7d678/Ul/eQPfdaCUOHHihJYtW3bVc7fddptH49SrV0/ff/99nl+/7bbbNGzYMH344YeSpMTERA0ePFgdO3ZUmzZt5HA4FBsbq02bNsk0Teu8++67T4888ohHsQAAAAAA7HX69GlNmDDBSjgahqGJEydq0KBBLvs3JiQkaNy4cdqyZYskac+ePXrppZc0depU22IxDEOtW7dWr169dOutt6p58+Z5LmlOSEjQ22+/rSVLlljPffDBB+rWrZs6duyY73V2796tV1991WoHBgbq9ddf17333uvS7+jRoxo1apT27NkjSdq8ebNmzJih8ePHF/YWUQQkHeHTYmNjtWHDBkVHR+vkyZNKSkpSamqqSzLNHYZh6IcffiimKDPlFlNe08Xzk/2TrrxMmDBBqamp+vTTT63nfvnlF/3yyy+59u/du7dee+01j2Mpdg7f+rQSAAAAAAry3nvv6eLFi1Z77NixGjJkyFX9QkNDNXfuXPXt21f79++XJK1YsULDhg1TixYtbImlevXqLknE/ISGhmrKlCkyDENfffWVpMz3wR9//HGBScd33nnHZQn5X//616sSjpIUERGhBQsW6J577tHZs2clSQsWLNDjjz9eJorK+hqSjvBJv//+u/76179q586dLs97mmzM4mubzzocDr3wwgu65ZZbNHv2bJfq1Nk1a9ZMQ4cO1f3331+yAQIAAACAjXxlefXZs2e1aNEiq92gQQMNHz48z/5BQUGaPHmyBg8eLCnzPfHs2bM1ffr04g41T88++6yWLl1qTZj56aef8u0fExOjtWvXWu1OnTqpT58+efYPDQ3VhAkT9Pzzz0vK3Efyo48+0sSJE4sePDxC0hE+5+uvv9bkyZOVkZFhJRmzkoaFSR4WNlHpqfr16ys2NrZErpWlW7du6tatmw4fPqxdu3bp1KlTysjIUHh4uJo2barmzZuXaDwAAAAAgLytWbNGaWlpVrt///4KCAjI95wuXbooMjJSBw8elCStX79eKSkpqlixYrHGmpfQ0FA1btxYe/fulZSZFDx37pyqV6+ea/9Vq1a5tB999NECr3HvvffqzTffVGJioiRp9erVJB29gKQjfMovv/yiF154QRkZGTIMQ4ZhyDRNmaYpf39/Va1a1Wt/WEuzhg0bqmHDht4OAwAAAACQjx9//NGl3atXL7fO69Wrl+bMmSNJSk1N1caNG9WzZ0/b43NXzmI2+U32yX7PAQEB6tGjR4HjBwUFqXv37vrmm28kScePH1dMTIxatmxZyIhRGCQd4VPeeustK+FomqYqVqyoxx9/XL1791bTpk2pWAUAAAAA5ZBTvrG8etu2bdZxWFiYIiIi3Dqvffv2Lu2tW7d6Nel44sQJ67hKlSoKCQnJtV9iYqJVFEaSWrVqpaCgILeu0a5dOyvpKGXeM0nHkkUGBj7j+PHj2rFjh5VwDA8P14IFC9SoUSNvhwYAAAAAQJGcOnXKpYCMJwm0Vq1aubSzCst4w7Zt2xQfH2+1u3fv7lJ1O7uccXpyz61bt853LBS/3H+qQBm0fft2SZnTsg3D0IsvvkjCEQAAAADgEw4cOODSrlu3rtvnhoWFuez9mHOskhIfH28VeJGkwMBAjRo1Ks/+RbnnOnXq5DsWih8zHeEzzpw5Yx0HBwfr9ttv92I0AAAAAIDSwheqV2efHShJ4eHhbp9rGIbCw8N17NixXMcqTsnJyTpw4IDWrVunTz75xCruEhAQoDfffFNNmjTJ89yi3HPNmjXl5+dnVckuyXtGJpKO8BlZFbwMw1D9+vULVakaAAAAAIDSKDk52aVduXJlj87P3j89PV1paWkKDAy0JbYsaWlpateundU2TVNOp/Oqfh07dtRzzz2nNm3a5DteznvOWYAmPw6HQxUrVlRSUpIk6dKlS26fC3uQdITPCA0NtY6zPskAAAAAAMAXZjqmpKS4tN0tqJJX/+TkZNuTjqZpFvh+/J577tGYMWMUGRlZ4Hg579nTeIOCgqykY84EJoofezrCZ1x77bWSMv/InTx50svRoCwyDMPWhxz2PgybHwAAAADKjtTUVJe2pwm4nP0vX75c5JgKY/ny5erdu7cmTZpkJQTzYuc9e+t+yzNmOsJntGjRQpGRkTp48KASExO1c+dOtW3b1tthAQAAAABQZDlnKl65csWj87O2JMti9yxHKTPG2NhYq52enq4LFy5oz549WrNmjb766itdunRJTqdTX3/9tWJjY/XJJ5+oatWqeY6XXVHu2dOZoSg6ZjrCp4wePdo6njVrlhcjAQAAAACUFk7TKHUPT1WqVMmlnXMWYEFyzvTzdE/IwvD391eNGjXUpUsXvfDCC1q2bJlatGhhfT06OlqvvPJKnufnvGdPZytm759zLBQ/ko7wKffcc4/uuecemaapDRs2aObMmd4OCQAAAACAIsuZNPO0MEr2PQ39/f29MvOvfv36mjdvnqpVq2Y9t2zZMu3bty/X/jnv2ZN9GZ1Op0tilqRjySPpCJ8zZcoU3X333TJNU7NmzdLYsWO1f/9+b4cFAAAAAEChhYeHu7Tj4uLcPtc0TcXHx+c5VkkKCwvTY4895vLc6tWrc+1blHs+ffq00tPTrXbt2rU9iBJ2YE9H+JSsmY2RkZGKiIjQ0aNH9cMPP+iHH35Qs2bNdO2116pGjRqF2rtizJgxdocLAAAAACgBvlC9unHjxi7tEydOuH3umTNnXPZDdKdydHHq2rWrZs+ebbWz7wOZXVHuOWeBWW/fc3lE0hE+ZebMmZlVg//LMAyZpikp84/Ynj17Cj02SUcAAAAAgLeEh4eratWqunjxoiQpJibG7XOjo6Nd2k2aNLE1Nk/VqFHDpZ1XFeuccXpyz7t27cp3LBQ/llfD5xmGYT0KIytpCQAAAACAN3Xs2NE6PnPmjI4ePerWeVFRUS7tTp062RqXp3ImGYODg3PtV61aNTVt2tRqR0dHu11MZvv27S5tb99zeUTSET7HNE1bHwAAAACAss00jVL3KIzbb7/dpf3tt9+6dV72PRODgoLUtWvXQl3fLjlnXtapUyfPvtnv+cqVK1qzZk2B41++fFnr16+32nXr1lWrVq0KESmKguXV8CmffPKJt0MAAAAAAKBY9OjRQ3/961+t/RkXL16sIUOGKCAgIM9zNm/erIMHD1rtbt26ebWSs2ma+vLLL12eu+mmm/Ls36tXL73//vtW+7PPPlPv3r3zvcayZcuUmJhotf/whz8UMloUBUlH+JQbbrjB2yEAZYdh92R3p83jSWK2MQAAAGAJCwtTv3799Nlnn0mSjhw5og8++ECjR4/Otf/ly5f12muvWW3DMDRy5Mg8xz927Jh69OhhtevVq6cff/wxz/47d+5U27ZtPbqHd999Vzt37rTaderUUefOnfPs36pVK3Xr1s2aubh161YtXbpUffr0ybV/QkKCpk2bZrUrVKigJ5980qMYYQ+WVwMAAAAAAJ/mlFHqHoU1YsQIVa5c2WrPmDFD8+fPl9PpOgkgISFBQ4cO1b59+6znevfubesy46eeekpPPvmkVq5cqZSUlHz77tu3T2PGjNGcOXNcnp80aZICAwPzPXf8+PHy9//fvLnJkydr+fLlV/U7evSoBg0apLNnz1rPPfHEE6pVq5Y7twObMdMRAAAAAACgjAgPD9e0adM0cuRIOZ1OmaapKVOmaOHChbrxxhsVEhKiw4cPa+3atUpNTbXOu+aaa/Tqq6/aGotpmtq4caM2btyowMBANW3aVM2bN1dISIgqV66slJQUnT59Wrt27XJJfmYZO3asevXqVeB1WrZsqRdeeEEvv/yyJCktLU3PPPOM5s6dq+uvv14VKlTQ/v37tWHDBqWnp1vn3XDDDXr66adtu194hqQjAAAAAABAGdK9e3dNmTJFL7/8sjXD8NChQzp06FCu/Vu2bKmZM2eqSpUqxRZTWlqadu3apV27dhXYNzg4WBMnTtRDDz3k9vgDBgzQxYsX9e6771qJxZiYGMXExOTa/8Ybb9S7776b736XKF4kHQEAAAAAgE9zFrJadGnWp08ftW3bVlOnTtX69eut4jLZ1axZU/3799eIESMKXMJcGFOmTNHatWu1detWHTlypMD+jRo1Ut++fdWvXz/VqFHD4+sNHz5cnTt31jvvvKP//Oc/Vy0pl6SIiAgNHDhQTzzxhAzD937uZQlJR/g80zT122+/6ZdfftH+/ft14cIFXbx4UU6nU5MmTbJ1PwsAAAAAAEpK48aNNWvWLJ07d05RUVGKi4tTcnKywsLCFBERoQ4dOsjPz8/t8erXr6/Y2Fi3+99xxx264447JEnnzp3Tvn37dOzYMZ07d06pqakKCgpS1apVFR4ermuvvbZQicacrrvuOn388ceKj4/Xjh07FB8fr9TUVNWqVUuRkZEeF7ZB8SHpCJ915coVffbZZ/rkk0904sQJl6+ZpinDMHThwoVcz33xxRe1ceNGSVLdunX16aefFnu8AAAAAAAURvXq1V2qTnsrhk6dOqlTp04lcr3w8HDdeeedJXItFA5JR/ikw4cPa/z48YqJiZFpmpJkTavOaufnrrvu0qJFiyRJJ06c0I4dO3TdddcVX8AAAAAAgGJj+uDyaqC0c3g7AMBuR48e1aOPPmolHLMnG7O389OlSxdFRkZa7ZUrVxZbvAAAAAAAAL6GpCN8SlpamoYNG6azZ89az9WtW1fPP/+8Vq5cqe3bt7udeMw+Tfunn34qlnjh2wzDsPUhw2HvAwAAAACAYsLyaviUzz77TIcOHbKSinfccYfefvttVahQweOxbr31Vr3//vsyTVMHDhzQuXPnVL16dbtDBgAAAAAUM1+sXg2Udkx1gU/55JNPrIRjq1atNG3atEIlHCWpZcuWLjMi9+/fb0uMAAAAAAAAvo6kI3zG/v37deLECatQzPjx4xUQEFDo8SpVqqTw8HCrfeTIkSLHCAAAAAAAUB6wvBo+Izo62jquVKmSbrrppiKPGRwcrLi4OElSYmJikccDAAAAAJQ8qlcDJY+ZjvAZCQkJkjKLd9SvX18OR9F/vStWrGgdp6amFnk8AAAAAACA8oCkI3zG5cuXrePAwEBbxrx48aJ1XKVKFVvGBAAAAAAA8HUsr4bPCA0NtY7PnTtX5PEyMjJ08uRJq03lagAAAAAom6heDZQ8ZjrCZ9SsWVOSZJqmTpw44TJLsTB+//13paSkWO1GjRoVaTwAAAAAAIDygqQjfEaHDh3k7+8vwzBkmqZWrVpVpPE+//xz6zg4OFitW7cuaogAAAAAAC8wzdL3AHwdSUf4jKpVq6p9+/YyTVOmaeqDDz5wmanoiV9//VXLli2TYRgyDEO33HKLzdGiVHI47H0AAAAAAFBO8a4YPmXIkCGSMitYHzt2TM8++6yuXLni0RgxMTEaO3asMjIyZJqmDMPQ8OHDiyNcAAAAAAAAn0TSET7l9ttvV6dOnWT+d676jz/+qP79+2vz5s0FnhsfH6+pU6fq0Ucf1enTp62E47333qtmzZoVd+gAAAAAgGLilFHqHoCvo3o1fM67776rfv366cSJE5IyZy4++eSTCgsLs/ZlzEoovv/++5o/f74OHz6sw4cPu3zNNE01a9ZMr7zyitfuBQAAAAAAoCxipiN8TmhoqObNm6fIyEiXBOLp06e1fv16q59pmvr555+1YcMGHTp0yNoLMqt/q1at9MEHH6hChQpevBsAAAAAAICyh6QjfFKjRo20ZMkSPfzww/Lz85OUuc9j1n+zHlmyt/38/PTwww9r4cKFCg8PL/ngAQAAAAC2Mk2j1D0AX8fyavisChUq6JVXXtHIkSP1j3/8Qxs2bNDevXut/R5zatiwoW655RYNGjRIERERJRwtAAAAAACA7yDpCJ9Xu3ZtPfvss3r22WeVmJiogwcP6vz580pMTFTFihUVEhKiiIgIZjUCAAAAAADYhKQjypXg4GBdd9113g4DAAAAAFCCnCxnBkocezoCAAAAAAAAsBUzHQGgrHDY++msYfOnvWaGrcNlMmz+RDqPPV0BAAAAAPYi6QgAAAAAAHwanz0DJY+kI3zK0aNH9fzzz1vtcePGqWPHjh6Ps23bNk2fPl2SZBiG3nzzTdWuXdu2OAEAAAAAAHwZSUf4lIULF2rLli0yDEN16tRRu3btCjVOu3btdPToUcXFxUmSFi9erLFjx9oYKQAAAAAAgO+ikAx8yurVq63j+++/X35+foUax9/fX/fdd59M05Rpmvr222/tChEAAAAAUMJM0yh1D8DXkXSEzzh69KiOHz9utXv27Fmk8e68807r+ODBg4qPjy/SeAAAAAAAAOUFSUf4jD179ljHQUFBatmyZZHGa9GihYKCgqx2bGxskcYDAAAAAAAoL9jTET7jxIkTkjILv9StW1cOR9Fy6n5+fqpXr54OHDggSTp27FiRYwQAAAAAlDyWMwMlj5mO8BnJycnWcdWqVW0ZM/s4SUlJtowJAAAAAADg65jpCJ9RoUIF69iuBGH2RGZhi9KgHCvibNurZGTYO57djGL4HMt02j8mAAAAAKDYkXSEzwgNDZUkmaap+Ph4maYpwyj8FHqn06mTJ09a7erVqxc5RgAAAABAyXOyvBoocSyvhs+oW7eudZycnKzt27cXabxff/3VZaZj7dq1izQeAAAAAABAeUHSET7juuuuU8WKFa3ZjfPnzy/SeNnPDwgIUIcOHYo0HgAAAAAAQHlB0hE+IyAgQJ07d5ZpmjJNU99//71WrlxZqLFWrlyp7777ToZhyDAM3XDDDS57RgIAAAAAyg7TLH0PwNeRdIRP+eMf/yhJMgxDpmlq0qRJ+vLLLz0aY/HixZo0aZI1RvZxAQAAAAAAUDCSjvAp7du315133mkVkUlLS9PkyZM1cOBAff/990pJScn1vJSUFH333XcaOHCgXnzxRaWlpUnKTF7efvvt6tSpU0neBgAAAADARqZplLoH4OuoXg2fM2XKFB04cED79u2zZitu27ZN27Ztk8PhUGRkpEJDQ1WpUiVdunRJCQkJOnjwoJxOpyRZCUvTNNW0aVO9+eabXr4jAAAAAACAsoWkI3xO5cqVNW/ePI0ZM0a//fabVVjGNE1lZGRYycgsZrbNNLL2cDRNU+3atdO7776rKlWqlPg9AAAAAAAAlGUsr4ZPCg8P12effaZhw4apQoUKVmIxK6mYXfbnTNNUpUqVNHLkSP3jH/9QeHh4iccOAAAAALCXt5dSs7wa5REzHeGzAgIC9Mwzz2jo0KFavHixNm7cqF9//TXXfR0rVaqk9u3b65ZbbtGDDz6oqlWreiHiqzmdTh05ckSHDx9WfHy8EhMTlZaWpkqVKikkJEQtWrRQ06ZN5efnV+RrHTlyRNHR0YqLi5PT6VR4eLiaNm2qZs2a2XAnsEPOhHlRmYbdnztl2DweAAAAAKCsIukIn1etWjUNHTpUQ4cOVUZGhs6cOaPz588rOTlZlStXVkhIiMLCwmxJ3NkhISFB8+bNU1RUlGJiYvIsfpOlWrVquu+++/TUU0+pTp06Hl9vw4YNmj17trZv357r15s3b65hw4bp3nvv9XhsAAAAAABQPpF0RLni5+en8PDwUr1s+vjx45o7d67b/S9cuKBPP/1UX331lSZPnqwHHnjArfNM09Qbb7yhBQsWuOxrmVNsbKyeffZZrVu3TlOmTFFgYKDbsQEAAABAaZD3Ox4AxYWkI1DKhYWFqVmzZmrYsKGqVasmPz8/nT9/XjExMfr111+tqtuXLl3Sc889pytXrujhhx8ucNx33nlH8+fPd3muQ4cOatOmjfz8/LR7925t3rzZSkguX75cAQEBeuONN2y/RwAAAAAA4FtIOgKljJ+fnzp16qQ//OEP6tq1qxo3bpxn3+PHj+vVV1/VunXrrOdef/11denSRQ0aNMjzvPXr1+u9996z2sHBwZo+fbq6dOni0i86OlojR45UXFycJOnrr79Whw4d1L9//0LeHQAAAAAAKA+oXo1yJT4+XrGxsdq2bZu2bt2qixcvejukq7Rq1Ur/+Mc/NHDgwHwTjpJUr149zZ49W127drWeS01N1T//+c88zzFNU1OnTrXahmFo9uzZVyUcs2KZP3++goKCrOdmzJihy5cve3JLAAAAAOBV3q5UTfVqlEckHeHT0tLS9OWXX2r48OHq1KmTunfvrj59+mjgwIF64okn9Pvvv+d63rp167R06VItXbpUGzZsKOGoPePn56dnnnnG5bl///vfefZfs2aNYmNjrfb999+vTp065dk/MjJSTz31lNU+deqUFi9eXISIAQAAAACAr2N5NXzWqlWr9Nprr+ns2bOSdFWxFMPI+5OlmJgYTZ8+XZIUGBion376SVWrVi2+YIuodevWqlSpki5duiRJOnnyZJ59v/32W5f2Y489VuD4jzzyiN5//31lZGRIyvzePv7440WIGAAAAAAA+DJmOsInvf766xo/frzOnDnjUbIxy6OPPqqgoCCZpqm0tDStXLmyuEK1TeXKla3jvKpRp6enu8yCrFOnjtq2bVvg2OHh4WrXrp3VjoqK0rlz5wofLAAAAACUJLMUPgAfR9IRPmfWrFn65JNPZJqmlWAMDQ1V79699dRTT+WZkMuuWrVquuWWW6z22rVriy1eO6Smpur8+fNWOyIiItd+e/fu1YULF6x2+/bt3b5G9qRjRkaGoqKiPI6z1DOM0v2wm8Ow9WEUw8N2pf1nAgAAAAA+gqQjfEpsbKxmzZolwzBkGIaCgoL04osvav369Zo2bZr+/Oc/S3JvtmPPnj0lZc4a3Lp1q7W0uDRatWqVrly5YrVvu+22XPvt37/fpd2yZUu3r9G6det8xwIAAAAAAMjCno7wKe+++66cTqckKSAgQHPnztX1119fqLE6dOhgHV+6dEmHDh1SkyZNbInTTnv37tWbb75ptatXr65Bgwbl2vfAgQMu7bp167p9nTp16ri0Dx486EGUAAAAAOA9VIsGSh5JR/iMS5cu6d///rc1i/HJJ58sdMJRylyiXLlyZSUnJ0vKTNiVhqSjaZpKSkrSnj179N1332nhwoW6fPmyJKlSpUqaMWOGatSokeu58fHxLu3atWu7fd2cfePi4jyMHAAAAAAAlBckHeEztm3bZi0xNgzDlurKYWFhVtLx9OnTRR6vMA4cOKB77rnHajudzlz3pezevbuee+45NWrUKM+xsu4lS/biMwXJ2TerUrYnwuqF5vv10NohuR7nxQgM9DiGfMfz87N1PNs57V3i78b2pp4phi0IzFK8rYGkYvgm5s3T1wdQ3vAaAfLG6wM5nTme4O0QAJQDJB3hM7Jm8RmGoXr16qlmzZpFHjM4ONg6TkpKKvJ4hWGaZr77STocDj322GMaNmyYwsPD8x0rJSXFpR3oQdIuKCjIpV2YpOPCI++53XfWljc8Hh8oL2ZtfbPgTkA5xmsEyBuvD0jSHY5+3g6hxJXgZ8Vecf78eUVFRSkuLk5JSUmqVauW6tevrw4dOsjhKLlyHklJSdq7d68OHDig8+fP68qVKwoODlbt2rXVrl07hYbmPxEFvoWkI3zGuXPnrOO8lhd7KnuyryT/UHvC6XTq008/1eeff66BAwdq/PjxeSYTU1NTXdqeJB1z9s05FgAAAACgZB06dEhTp07V2rVrXYqLZqlVq5YefvhhDR8+3KP3f5747bff9N1332nTpk2Kjo626izkpm3btho0aJDuvvtutwq8ZmnevHmh49u1a5f8/Ul/eQPfdfiMihUrWseFmYWXm+yJzJCQEFvG9FSTJk0UGxtrtdPS0nT+/HnFxMRo1apVWrZsma5cuaIrV67oo48+0p49ezRnzpxc/4eSc7Zibv9TyktaWlq+Y7ljQIMR+X49tHaINcNx9A2TlBB3Pt/+LK8uGpZX26CEl1dnzU4Z3Wliga8PoLzhNQLkjdcH4Ju++eYbvfTSS/m+/z116pRmzJihH3/8UTNmzFC9evVsjWHIkCHatGmT2/137typZ555Rl9++aXeeust1apVy9Z4ULqQdITPyJrdaJqmLUVOzp49q5MnT1qfvtixXNsOgYGBqlWrlmrVqqVu3bpp0KBBGjFihE6ePClJ+umnnzRr1iyNHz/+qnMrVark0s4qQOOOnH1zjuUOT/aOSYg7X2B/25OOpf3TL5sTcLntDVokJB1LjDuvD6A84zUC5I3XB8orX6tevWHDBk2aNMlldV6jRo3UuXNnhYSE6MiRI1q7dq21Qm3Xrl0aMWKEFi5cqCpVqtgWR0LC1X9P6tatq3bt2qlWrVqqVKmSzpw5oy1btujQoUNWn82bN2vw4MH65z//qerVq3t0TcMwPFqJ6MmMStirlL/DBtzXuHFj6zgpKUm7du1S69atCz3ejz/+KCkzMeNwONS2bdsix1gcWrRooQ8//FB9+/a1Zi7Onz9fQ4YMuWp2Zs5EYc7CMvnJ2bcwSUcAAAAAQNGcPn1aEyZMsBKOhmFo4sSJGjRokEsyLiEhQePGjdOWLVskSXv27NFLL72kqVOn2h5TWFiYHnjgAT3wwAOKjIy86uumaWr16tV68cUXdeHCBUnS/v379dJLL2n69OkeXWv06NEaO3asLXGjeJXOTeqAQmjRooVq1qxpfYrxj3/8o9BjXblyRfPmzZNhGDIMQ82aNfP405eS1LRpU/Xu3dtqp6amat26dVf1y1loxpMZoTn71q5d27MgUXQOh72PssBw2PsAAAAAyrj33ntPFy9etNpjx47VkCFDrpr9Fxoaqrlz56pJkybWcytWrNDu3bttiyU0NFSTJk3S2rVr9cwzz+SacJQyE6O9evXSxx9/7LI12urVq7Vz507b4kHpwjsw+JTevXvLNE2Zpql//etf+umnnwo1zl//+lcdOnTIWn7ar1/pr+520003ubSz7wOZJftsUEk6ceKE2+NnLd/OaywAAAAAKLVMo/Q9CuHs2bNatGiR1W7QoIGGDx+eZ/+goCBNnjz5f98G09Ts2bMLde3cfPjhhxoyZIjbRWpat26tQYMGuTy3evVq2+JB6ULSET7lj3/8oypXrizDMOR0OjV27Fh9++23bp9/4cIFPfPMM1q8eLHLXo5lIekYFhbm0k5KSrqqT/ZPuCQpJibG7fF37drl0ibpCAAAAAAla82aNS5FPvv376+AgIB8z+nSpYvLDMT169crJSXFlngKUxX67rvvdmkz09F3kXSET8ma2m2apgzDUEpKiiZMmKABAwboiy++0O+//y7pfwU04uPj9dtvv2nFihWaPHmybrvtNq1cudKaLenn56cpU6a4/amNN+VMMgYHB1/Vp1mzZi7Pb9++3e3xs/f18/NThw4dChElAAAAAKCwsmoPZOnVq5db52Xvl5qaqo0bN9oalycaNmzo0j579qyXIkFxo5AMfE6/fv10/PhxvffeezIMQ6Zp6tdff9Wvv/7q0s80TT333HNXPZe1j6Npmvrzn/+srl27lmD0hRcdHe3SrlOnzlV9/P39deutt2r58uWSMpdM79ixQ9ddd12+Y8fHx7t8/9q3b6/Q0NCiBw0AAAAAJeC/807KvG3btlnHYWFhioiIcOu89u3bu7S3bt2qnj172hqbu3IWKS3MbEmUDcx0hE/605/+pL/97W+qUKGC9VzW7MWspGJWYjHrIcl6rkKFCpo2bZoGDx7spTvwTGpqqpYtW+byXM49HrPk/CTss88+K3D8zz//XE6nM88xAAAAAADF69SpUy4FZFq2bOn2ua1atXJp79+/37a4PJWz/gBFSn0X6WT4rAcffFA33HCDPvzwQ33zzTdKTU2VJJcEY1aSMet5f39/3XfffRo5cqTbnxjZKS0tTQcOHFCLFi3cPsfpdOqll15yKQpz3XXX5bnnYo8ePdSsWTPt2bNHkvSvf/1LDz30kDp16pRr/4MHD2revHlWu6zscQkAAAAAFh+Y6XjgwAGXdt26dd0+NywsTAEBAbpy5UquY5Wkb775xqV94403enT+zz//rJiYGMXGxiohIUH+/v6qXr26GjZsqE6dOqlXr15q0KCBnSGjkEg6wqdFRETo1Vdf1TPPPKMtW7Zo27Zt2r9/v86fP6+LFy+qQoUKql69uurXr6/OnTvrpptuUo0aNbwWb2pqqvr06aM777xTffv2VdeuXfPdT3LHjh16++23tXXrVus5h8Oh559/Ps9zHA6HJkyYoBEjRkjKTLaOGjVK06dPV5cuXVz6RkdHa+TIkbp8+bL13JgxY1xmkAIAAAAAil98fLxLOzw83O1zDcNQeHi4jh07lutYJeXQoUMuq/T8/Px05513ejRG9ve/WRITE3X48GFt2LBB77zzju666y793//9n1ff34OkI8qJatWq6Y477tAdd9zh7VAKZJqmVq9erdWrV6tixYpq0aKFrrnmGlWrVk0VK1ZUcnKy4uLi9Ntvv+no0aMu5xqGoddee63APRpvu+02DRs2TB9++KGkzD/QgwcPVseOHdWmTRs5HA7FxsZq06ZN1kxQSbrvvvv0yCOP2H/TAAAAAIB85dwLsXLlyh6dn71/enq60tLSSrRoqtPp1AsvvGDNtpSkPn36qH79+rZeJyMjQ8uXL9eWLVs0a9YstW3b1tbx4T6SjoAb1q1bp+7du5f4dVNSUrR9+3a3qkyHh4frlVde0W233ebW2BMmTFBqaqo+/fRT67lffvlFv/zyS679e/furddee829wAEAAACgFDFNw9shFFlKSopLOygoyKPzc/ZPTk4u0aTjjBkzXGYphoaG6tlnn3X7/IYNG6pHjx668cYbdc011yg0NFR+fn5KSEjQ77//rpUrV2rVqlXKyMiQlLkH5vDhw7Vo0SKWW3sJSUcgHz/88INmz56tmJgYxcTEFPv1KleurDfffFP//ve/tXXrVremvLdq1Up9+/bVAw88oCpVqrh9LYfDoRdeeEG33HKLZs+efVV17yzNmjXT0KFDdf/997s9Nv7LYXOtrmzFfOxgGPb+w8s0iqM2WUYxjGkjm7+HPlNWEQAAALbLqlOQxdOEYc7+2bfRKm6rV6/WnDlzrLZhGPrb3/6m0NBQt86fN2+eunbtmut7mNq1a6t27drq2bOnBg8erKefflonT56UJJ07d05/+ctf9Pnnn9tzI/AISUcgF1l/EGNjY62K1yXBz89Pffr0UZ8+fSRlfjKzf/9+HTt2TImJiUpNTVWlSpVUpUoV1a9fX61bt1ZwcHCRrtmtWzd169ZNhw8f1q5du3Tq1CllZGQoPDxcTZs2VfPmzW24MwAAAABAUeScqZh9mbI70tLSXNolNctx27Zt+vOf/+yyddeYMWN0++23uz3GzTff7Fa/tm3b6qOPPlL//v2tSt/bt2/X+vXr1a1bN88CR5GRdASyWblypebMmaN9+/a5/EH0llq1aqlWrVolcq2GDRuqYcOGJXItAAAAAChR3n97V2SVKlVyaeec+ViQnDMbPd0TsjB27959VXHSAQMGaMyYMcV2zcaNG2v48OGaOnWq9dyKFStIOnoBSUeUeenp6fr11191+PBhnTt3ToZhqEaNGrr22mt1zTXXFHi+aZpatmyZ3nvvPR08eNBKNmbNbjRNU35+fsV6DwAAAAAA5Cdn0vHSpUsenZ+9EI2/v7/He0J66siRIxo6dKgSExOt53r37q0XX3yxWK8rSQ8++KCmTZtmvb/fvHlzsV8TVyPpiDLrzJkzmj17tr7++us8P+Fp0qSJxo0bl2fV6vXr1+utt97SgQMHck02+vv76/7779eIESOK5yYAAAAAAHBDeHi4SzsuLs7tc03TdKk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", "text/plain": [ "
" ] @@ -656,20 +756,28 @@ "id": "0aa508f9", "metadata": {}, "source": [ - "We can see that, if a customer has made 25 purchases and their latest purchase was when they were 35 weeks old (given the individual is 35 weeks old), then they are your best customer (bottom-right). Your \"coldest\" customers are those that are in the top-right corner: they bought a lot quickly, and we haven’t seen them in weeks.\n", - "\n", - "Note that there is also that beautiful “tail” around (5, 25). This represents the customer who buys infrequently, but we’ve seen him or her recently, so they might buy again - we’re not sure if they are dead or just between purchases." + "We can see our best customers have been active for over 60 weeks and have made over 20 purchases (bottom-right). Note the “tail” sweeping up towards the upper-left corner - these customers are infrequent and/or may not have purchased recently. What is the probability they are still active? " ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 53, "id": "bcb184f3", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -684,7 +792,7 @@ } ], "source": [ - "clv.plot_probability_alive_matrix(bgm);" + "clv.plot_probability_alive_matrix(bgm)" ] }, { @@ -692,7 +800,9 @@ "id": "a25bd48f", "metadata": {}, "source": [ - "Looking at the probability alive matrix, we can infer that users who have made a lot of purchases a long time ago are likely to never return." + "Note that all non-repeat customers have an alive probability of 1, which is one of the quirks of `BetaGeoModel`. In many use cases this is still a valid assumption, but if non-repeat customers are a key focus in your use case, you may want to try `ParetoNBDModel` instead. \n", + "\n", + "Looking at the probability alive matrix, we can infer that customers who have made fewer purchases are less likely to return, and may be worth targeting for retention." ] }, { @@ -713,23 +823,23 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 54, "id": "920669d2", "metadata": {}, "outputs": [], "source": [ "num_purchases = bgm.expected_num_purchases(\n", - " customer_id=data.index,\n", + " customer_id=rfm_data[\"customer_id\"],\n", " t=1, \n", - " frequency=data[\"frequency\"], \n", - " recency=data[\"recency\"], \n", - " T=data[\"T\"]\n", + " frequency=rfm_data[\"frequency\"], \n", + " recency=rfm_data[\"recency\"], \n", + " T=rfm_data[\"T\"]\n", ")" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 55, "id": "f9748513", "metadata": {}, "outputs": [ @@ -754,87 +864,76 @@ " \n", " \n", " \n", + " customer_id\n", " frequency\n", " recency\n", " T\n", " monetary_value\n", - " customer_id\n", " expected_purchases\n", " \n", - " \n", - " customer_id\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", - " 841\n", - " 19\n", - " 34.00\n", - " 34.14\n", - " 29.49\n", - " 841\n", - " 0.470413\n", + " 812\n", + " 813\n", + " 30.0\n", + " 72.0\n", + " 74.0\n", + " 35.654000\n", + " 0.355701\n", " \n", " \n", - " 1981\n", - " 17\n", - " 28.43\n", - " 28.86\n", - " 48.23\n", - " 1981\n", - " 0.481233\n", + " 1202\n", + " 1203\n", + " 32.0\n", + " 71.0\n", + " 72.0\n", + " 47.172187\n", + " 0.394453\n", " \n", " \n", - " 157\n", - " 29\n", - " 37.71\n", - " 38.00\n", - " 26.26\n", + " 156\n", " 157\n", - " 0.656990\n", + " 36.0\n", + " 74.0\n", + " 77.0\n", + " 30.603611\n", + " 0.402632\n", " \n", " \n", - " 1516\n", - " 26\n", - " 30.86\n", - " 31.00\n", - " 39.97\n", - " 1516\n", - " 0.704509\n", + " 1980\n", + " 1981\n", + " 35.0\n", + " 66.0\n", + " 68.0\n", + " 46.748857\n", + " 0.446343\n", " \n", " \n", "\n", "" ], "text/plain": [ - " frequency recency T monetary_value customer_id \\\n", - "customer_id \n", - "841 19 34.00 34.14 29.49 841 \n", - "1981 17 28.43 28.86 48.23 1981 \n", - "157 29 37.71 38.00 26.26 157 \n", - "1516 26 30.86 31.00 39.97 1516 \n", + " customer_id frequency recency T monetary_value \\\n", + "812 813 30.0 72.0 74.0 35.654000 \n", + "1202 1203 32.0 71.0 72.0 47.172187 \n", + "156 157 36.0 74.0 77.0 30.603611 \n", + "1980 1981 35.0 66.0 68.0 46.748857 \n", "\n", - " expected_purchases \n", - "customer_id \n", - "841 0.470413 \n", - "1981 0.481233 \n", - "157 0.656990 \n", - "1516 0.704509 " + " expected_purchases \n", + "812 0.355701 \n", + "1202 0.394453 \n", + "156 0.402632 \n", + "1980 0.446343 " ] }, - "execution_count": 14, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "sdata = data.copy()\n", + "sdata = rfm_data.copy()\n", "sdata[\"expected_purchases\"] = num_purchases.mean((\"chain\", \"draw\")).values\n", "sdata.sort_values(by=\"expected_purchases\").tail(4)" ] @@ -849,13 +948,13 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 56, "id": "6aa2ec03", "metadata": {}, "outputs": [ { "data": { - "image/png": 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BAweuetxzzz2X733ve7nvvvtW1X7yk59kyJAh6dJl7f91rKGhIV//+tfz+OOPr6oNGDAgZ511VkaMGFF5/YaGhjz00EP5n//5n9x9991JVgYY3/jGN3LBBRekX79+7/mz9+/fP4MHD84RRxyRPffcc60h2AsvvJAJEybkkksuyZIlS5Ikd999dy699NKcccYZ7/n6TX33u9/Nm2++uerv66STTsqmm2666s/nzp2bCy64IBdeeGHKcuVAxxNPPJFx48bl1FNPXa9r1cLzzz9fWW+22Wbr/Rqbb755nnvuuVXr5557br2CtfVx2223ZerUqavW//AP/1AJ5dqrEcOL3HBT40DQQw8nL71UZuut7YIHAAAAAHQ+TXOQT37yk9lhhx1W/fnbb7+dX/7yl7niiitW1a655pqcdtpp+elPV+YgXbt2y4ryrBT1J6coVuYUu+6anP+Pz+cHP/g3Ocj/Iwd5f62Zg6yLWbNm5Z/+6Z8qP9v++++fIUOGNPu1brvttnzzm9+s1L70pS+1aDbTt2+Ro48uc91qc3jjJ5Q57dS0iRObAABoXoaDAACATu2dQOx//a//lTPPPHONG+H9+vXLNtv9fYr6JSlXTPx/1TJd676ee+6ZmV69euWHP/xh9t133zVee7vttst//Md/5Nxzz83MmTOTrNzV7tZbb80xxxyz1n4uvPDC3HPPPavWH/rQh/KDH/wgG2+88RqPrauryz777JMf//jH+eEPf5jLL788ycog49e//nX+7u/+7l1/7nPPPTe77rprunfv/q6PSZJtttkmn//85zN48OB88YtfzNy5c5MkF110UU477bR3DffW5qWXXkrfvn3zox/9KHvuuecaf963b9984QtfSK9evfKLX/xiVX1dQrFvf/vbmTRp0jr38kGdf/75GTNmzFr/7J0TeN7xQUKxTTfdtBKKNX3N5rJgwYL827/926r1yJEjc/DBB7fItVrbIQcn/fslc95urE25tsx5nxRyAQAAAACdT9McpKl+/frl7//+77NkyZJMmDAhSVKWZc4///zMnDkzPXv2Sv+B/zevv7Hvqud06ZKc/49FdtxxeznIauQg76+1cpB3LF++PPfee2+ltmjRosyaNSsPPPBAbr755lVDYUmy11575Xvf+94HGpx57bXXKj9bQ0ND5s+fn5kzZ+a2227Lo48+uurPiqLI5z73uXf9u25OY0cXue76xk3Vnp2ZPPJosteHWvzSAAC0srpaNwAAAFBrQ4YMWWsgliRvvVXm9xeUqevy2az+X6HeeGNmkpU7eq1tMOgdPXr0yKc+9alK7fbbb1/rYxcvXpwLL7xw1XqTTTbJD3/4w7UGYqurq6vLl7/85ey1116rahMmTMi8efPe9Tkf/vCH3zcQW92uu+6aL37xi6vWr7/+eu688851fv47vva1r601EFvd2WefXQmUnnjiibz55pvrfa3WtnDhwsq6Z8+e6/0aTXeHW7Ro0Qb19G5+9rOf5bXXXkuycufEv/mbv2mR69RC165Fhgyu1qZcm1W7MAIAAAAAdDbvlYO843Of+1zq6hpzkHeGffY/4H9VBoOS5LxPFtlxx5XDE3KQKjnIe2utHGT11//Sl75U+c9XvvKV/Pu//3uuu+66VYNBG2+8cb74xS/m5z//efr27fuBrjVjxozKdf72b/82559/fn71q19VBoP23nvv/OxnP8u5557bHD/i+9pv32Trraq1CRNlJgAAHZHhIAAAoFMriiKf/exn3/XP/+fXZRYuTIpi06TYvfJnW2yxRcaOHfu+1zjyyCMrgdoTTzyx1sdNmjRp1Y50SfLpT386/fr1e9/XT5L6+vqcc845q9YLFy7MHXfcsU7PXVdDhw5NfX39qvWDDz64Xs/fc88933WnwNV16dIlxx57bKX2l7/8Zb2uVQtNA6xu3bqt92s0DSqbBm3N4e67786VV165av2lL30p/fv3b/br1NKIYdUd/V55JXnwoRo1AwAAAABQQ++Xg7xj0003ze67V3OQTTbdInffVz3ZZI89kjNOrz5XDrKSHOT9tUYOsr423njjnHvuuTnxxBPX66SoD+LAAw/MJz/5yey3334tep3V1dUVGTO6mptcPz1ZuNCAEABAR9Oy/98sAABAG7fzzjtn2223XeufPfFkmQmTGtdF3Y4pVzTu7HXsscdWQqJ306tXr2y55ZZ56aWXkiSvvvrqWh932223rfrf6+vrM3To0HX5EVY56KCDUldXl4aGhiTJAw88sN6v8V569uyZAQMG5I033kjy7uHeuxkyZMg6P3bXXXetrN855ebdnH322RkxYsR69fNB7Ljjju/6Z0uXLq2su3btut6v3zRIe2fHuuayZMmSfO1rX1t1is5BBx2UUaNGNes12oLddku23y6Z+Vxjbcq1ZfbZu3j3JwEAAAAAdEDvlYM0tdNOO1VOOKmrPyYrVjTmIPX1yVf/vkiXLtV7rXKQldpjDlIURTbaaKMkyfz587PDDju862PbQw7yQbz11lv54Q9/mJ///Oc577zz8vGPfzxF0TJ5wt1335277747O+20U84///zsscceLXKdpkYOT37162TFyrdOFi1eOSA0dsx7Pw8AgPbFcBAAANCpNd0F7x1lWeYnP2tIudqmWV269MuyFY3r3XbbbZ2v069fv1Wh2IIFC9Z6vdV3oNt2223Tu3fvdX79ZGVo1a9fv8yePTtJMnPmzHV63jPPPJPp06fnL3/5S5599tnMmzcvCxYsyPLly9/zeXPmzFmv/tYn4BgwYEBlPX/+/Pd8/A477PCegVVraBpoLVu2bL1fo2mw1nQHvQ314x//eNW/i+7du+crX/lKs75+W1EURYYPS37xP41v4Bkzkr/9X2W6dzcgBAAAAAB0Hu+Wg6xN3759K+s33tw1davtkfaxjyY77rj2e6xykPaZgxRFkf79+ydZ+fOW5bufJtMecpCm+vTpUzlhqqGhIfPnz88rr7ySBx54IOPGjcvTTz+dZOUpRj/5yU/y1FNP5etf/3rlNKx18bGPfSwf+9jHVq2XLVuWuXPn5qmnnsrtt9+eiRMnZt68eUmSp59+Op/97Gfzve99L0cccUQz/KTvbZNNihx2WJlbbm2sjZ9YZuwYmQkAQEdiOAgAAOjU3gk8mrr5lmW5975qbZ+9e+Tuu97/uWuzerixtl3Q3nrrrcydO3fV+tlnn82hhx66zq+/Nqu/3to89dRT+fd///fcd9997/m4d/N+QVVTTYOu99KjR4/Kui3sHPd+evbsWVk3DbjWRdOfs+lrbojHH388v/3tb1etzzvvvAwaNKjZXr+tGTY0+eWvsmrAb/6C5JbbksHH1bYvAAAAAIDWtD5ZRtN780njff0tNk/OPefdBwnkIHKQddGSOci6qKurS9++fdO3b9/stttuOe2003LRRRflpz/96arBqMmTJ2ennXbKWWedtUHX6tq1awYOHJiBAwfmkEMOydlnn51vfetbueuulWHjsmXL8vWvfz0XXnhhttpqqw3+2d7PmNFFbrm1cfjr0ceSp58ps9O7DPwBAND+rN94OwAAQAfTdJezJFmxoswPf7SwUttss2SvD73/cz+ot99+u9le6x3vFVrdcsst+eQnP/mBA7Fk/UOfDfn7eq+d6tqKXr16VdaLFi1a79dYvHhxZd1codjy5cvzne98JytWrDz6auedd87HP/7xZnnttmrzzYrsv1+1NnVq2/93BAAAAADQnDYsy2h87pf/pkjPnh98iEAO8t7kILVRFEXOPPPMfP7zn6/Uf/3rX7/v8Nn6GjhwYH7wgx9kt912W1VbuHBhfv7znzfrdd7NoQcnAwdWaxMmtv1/dwAArDsnBwEAADRxzfglefKpFZXaZ84r8uLzLXfNefPmNftrNjQ0rLX+/PPP5//7//6/LFu2bFWtKIrsueee+fCHP5ytt946AwcOTLdu3dYIsr71rW/lrbfeavZeO4KmOwLOmjVrvV/j9ddfr6w33njjDerpHVOmTMmTTz6ZZOWueF/96lfTpUvHvyUwYliRe+5tDLb+fGcye3aZAQPsggcAAAAAsK6OOjI54vANu68qB2n/2nIOsqE+/vGPZ9y4cXnppZeSrBx8mj59ek466aRmvU6PHj3ypS99KV/4whdW1aZPn56vfvWrLT4o1aVLkVEjy1xwYWNt6rTkrz5bpnt3uQkAQEfQ8b8JBAAAsB4WLy7zk59Vdzrbeadk2JDkN79puev26NGjst5hhx3y5S9/eYNes3v37mut/+xnP6vsdrfnnnvmG9/4Rrbffvv3fc2iaJvhwLPPPrtGoNQSdtxxx2yyySZr/bNtt922sv4godhrr71WWW+33Xbr/Rprs/ruiQ0NDTnvvPM+0Ot85zvfyXe+851V66OPPjrf//73N7i/lnLM0cm//yh5ZyPCFQ3JtOuTj36kpm0BAAAAALRJazu8pnv35G++uOHZgBxkw7RUDlIURTbaaKMkK7OEHXbYoV3mIBuqS5cuOeqoo3LJJZesqj300EPNPhyUJPvtt1/69eu36jSt5cuX57HHHsv+++/f7NdqaszIIhdc2PhGnzs3ufmWZMjgFr80AACtwHAQAADAai67vMxrs6rp1+c/V6S+vmXDoP79+1fWZVnm4IMPbvbrLFy4MLfddtuq9cYbb5wf/ehH6du37zo9vyV29msOF1xwQSZNmtTi1zn//PMzZsyYtf7Zlltume7du2fJkiVJVu4q98orr2TLLbdcp9d+5ZVXsvidKZYkPXv2zOabb77hTXdivXoVOeaoMlOnNdamXFvmox9pm+EuAAAAAEAtPf30mrWzzyyyxRYbfk9VDrJh5CAtb+utt66s33zzzRa5Tl1dXbbccstVw0Etea2mtt66yAH7l7nn3sba+IllhgyWmwAAdAR1tW4AAACgrZgzp8yFF1UHgw48IDn4oJa/9sCBAys73L366qtZvnx5s1/nL3/5S5YtW7ZqPWzYsHUOxF544YXKTntUFUWRnXfeuVJ76KGH1vn5Dz74YGW98847t9kdCtuTEcOrf4dPPJE888xatr8EAAAAAOjE5s0rc9c91Xunm26SnHF687y+HKT962w5SJcurbfvemtea8zo6t/5PfcmL70sNwEA6AicHAQAAPD//P6CMgsWVGt//VdFqwQTXbp0yd5775277rorSbJ48eI8/PDD2XfffZv1Om+99VZlve22267zc++5555m7aUjOuKII/LII4+sWt95550ZNmzYOj33zjvvrKyPPPLIZuvruOOOy0477ZSNNtooSTJ//vyU5fsHPT/+8Y/z1FNPrVqfeeaZOeSQQ1atBwwY0Gw9tpT990s22SR5443G2pRpZf76c203cAQAAAAAaG2//l2ZRYuqtVNPKdK9e/PcS5WDdAxtNQdpDq+++mplvfHGG7fIdcqyzGuvvdYq11qbo49M+vRJVj8ka+KkMp/9tNwEAKC9MxwEAACQ5KWXylw1rlobPrTIrru03o3wQw89dFUoliR/+tOfmj0UazoQsvruee/3vCuvvLJZe2lO3/jGN/KNb3yj1m3kqKOOyi9/+ctV6+nTp+fv/u7v0qtXr/d83oIFCzJ9+vRK7eijj262vjbffPNsscUW6d+/f5Jkzpw56zQc1KdPn8p6hx12yMEHH9xsfbWG+voiw4aWuejixtq105LPfbpMfb2gCwAAAADgqafLXHnVmvUP7dm815GDfHAtlYMURbFe2UFbzUE2VFmWueWWWyq1pqckNZdHHnkks2fPXrWur6/PDjvs0CLXWpvu3YsMH1bm8isaa5OmJJ86t0yXLnITAID2rK7WDQAAALQFv/xVmeXLG9dduyafOa91b4CfeOKJlWGMGTNm5NZbb23WawwcOLCyfvDBB9fpeVdccUWeeOKJZu2lI9pll12y556NaenChQtz4YUXvu/zLrzwwixabUvGvfbaq1WDoI5uxNDqe/mNN5J776tRMwAAAAAAbUhZlvmP/yzT0NDy15KDtH8dNQeZMGFCnnvuuUrtqKOOavbrNDQ05L/+678qtX333Td9+/Zt9mu9lzGj1sxN/nznuzwYAIB2w3AQAADQ6T32eJnrZ1RrZ57RI1tu2brDQRtttFHOPvvsVeuGhoZ8/etfz0033bRer/P444/na1/72lr/bPfdd0/Xrl1XrW+44Yb3DcZuueWW/PjHP16vHjqzz3zmM5X1H/7wh9x337tPotx777254IILKrXPfe5z73ude+65J4ceemjlP6zdjjsW2XWXam3K1Pc/OQkAAAAAoKObdl3ywLrNz2wwOUjH0FZzkHeus3jx4vd97dVdf/31+f73v1+pDR48OFtuueW7Pue3v/1t/vznP6/XdRYvXpx/+qd/yr333lupn3nmmev1Os1h552K7LFHtTZhotwEAKC9MxwEAAB0er/8VfVmd98+RT7z6Z416eWss87K4Ycfvmq9cOHCfOUrX8lXvvKV3H333Vm6dOkaz1myZEkeeeSR/O53v8snPvGJnHvuubn++uvX+vo9e/bMcccdt2q9YsWKfPnLX87VV1+dJUuWVB77/PPP5/vf/37+4R/+IUuXLs2AAQPSr1+/ZvpJO67DDjsshxxyyKr18uXL87d/+7e59NJLK4HUokWLcskll+TLX/5ylq92bNXhhx+egw46qFV77gxGDKsO+914c7JwoaALAAAAAOi8Fi8u81+/aN37pHKQ9q+t5iDz5s3Lz372s4wdOzb/8i//kltuuSVvvvnmWh+7YMGC3HTTTfm7v/u7fO1rX8uyZctW/Vnfvn3zpS996T2v9dhjj+Vv/uZv8vGPfzy/+c1v8sgjj7zrUNLLL7+ciy++OB/72McyderUyp8df/zxlfdDaxo7upqb3HZ78sabchMAgPasS60bAAAAqKVXX0vuurta+8yne6Z/v7rMmdP6/dTV1eXb3/52/uEf/mHVzmFlWebGG2/MjTfemG7dumWLLbZInz59snTp0sybNy+vv/56VqxYsc7X+OxnP5tbb701CxYsSLIyAPne976X//iP/8g222yTbt265Y033sisWbNWPae+vj5f//rX8/3vfz9vv/128/7QHdA3vvGNfOYzn8nLL7+cZGVw+R//8R/5r//6r2y99dYpyzIvv/zyGkHkoEGD8vWvf70WLXd4QwYnP/vvZEXDyvXixcmNNyUjR9S2LwAAAACAWrnksuSNN1r3mnKQjqEt5yDz5s3L+PHjM378+CRZNfTVu3fvLFu2LHPnzs1rr72WslxzEKZPnz758Y9/nM0333ydrvXMM8/kl7/8ZX75y1+mvr4+m266afr06ZPu3btn4cKFeeONNzJ37ty1Pvfggw/ON7/5zQ/+g26gIccnP/lpsuj/zTStaEgmT0nObv2DjAAAaCZODgIAADq1e++r3vgfODD5+Md61KiblTbaaKP8+Mc/zhlnnJH6+vrKny1dujTPP/98HnnkkTz55JN59dVX1xqIvVdoMWjQoHz3u99Nr169KvUlS5bkqaeeyqOPPloJxLp3755vfetbNdu5rD0aOHBgfvazn2WXXXap1JcsWZJnnnkmzz777BqB2K677pqf/exnGTBgQGu22mlsvHGRQw6u1iZPtQMeAAAAANA5vfVWmT9eXL1HutVWrXNtOUj7155ykNmzZ2fmzJl55JFH8sQTT+TVV19d62DQwQcfnN///vfZfffdP9B1VqxYkVdffTVPPvlkHn744TzzzDNrHQzq1q1bPvvZz+aHP/xhunfv/oGu1Rx69Spy/PHV2oSJ5Vr/bgAAaB8MBwEAAJ3aq69W1+ecVaRHj6I2zaymS5cu+Zu/+ZtcdtllOemkk9YpKNlyyy1z0kkn5T//8z9z1VVXvedjDznkkPzmN7/JkUce+a6Pqa+vz/HHH58LLrggQ4cOXe+fobPbcsst85vf/CZf+MIXsummm77r4zbddNN88YtfzK9//et13omOD2b48Op7+977kpdeFnIBAAAAAJ3Pb35fZtGixnVRJAcf2Hr5iByk/WtrOcghhxyS733veznxxBOz3XbbpSje/99z7969M2zYsPz0pz/Nj3/842y1jhNyX/7yl/O///f/zhFHHJF+/fqt03MGDRqU8847L5dddlk+9alPpUuXLuv0vJY0dnT17+ill5P77q9NLwAAbLiibCOj3rNnz651C21aURTp379/kmTOnDkm9OlQ/Pumo/Jvm47Mv286grIs81dfKPPIo421zTZLLv1jXTbbbGUA1Zb+fZdlmWeeeSbPPPNM3n777cybNy/dunVL7969s9VWW2WHHXZ4z+Dlvbzxxhu5//77M2vWrCxevDi9e/fONttskw9/+MPp06dPM/8knVNDQ0Mef/zxPPnkk6v++++AAQOy6667ZrfddktdXcvv3eGzO1m6tMxJHymz+kZ9556TfPpT9k5p7/z7piPz75uOqjP/224LJ0XKZKD1debPPWhLvBeh7fB+rK3nnitzzifLrGhorI0cnnztq7W7VyoHqY3mei+2hRykqXnz5uXZZ5/Nyy+/nNmzZ2fRokXp2rVrNtpoo/Tr1y877bRTtt1223UaIno/L7/8cp5//vm8+uqrmT9/fpYuXZqePXtmo402ymabbZbdd999nYeIWlNZljn7k2VmzmysDRuSfON8uUkt+N0IbYP3IrQdzfF+bAuZTGuq/fg5AABADdx+RyqDQUly7jlFunWr/alBa1MURXbaaafstNNOzf7am2yySYYMGdLsr0ujurq67Lnnntlzzz1r3Uqn1q1bkWFDylx+ZWNt0pTkk58oU1/fNt/7AAAAAADN7b9/WR0M6tYt+cx5tb1HKgdp39piDtKnT5/svffe2XvvvVv8WltttdU6nzrUlhRFkbGjk5/8rPGLtjfcmPzt35Tp20duAgDQ3hjxBgAAOp2yLPOr31R3k9hqq2TUiBo1BLSa0SOrYdasWck999aoGQAAAACAVnb/A2VuubVaO/2jyWabGQSAzmj40KTLalvML12WTJtWu34AAPjgDAcBAACdzk03J088Wa198hNFunQRfEFHt8suRXbZuVqbOMlR8AAAAABAx9fQUOZn/129H9q/f3LWGfIR6Kz69y9y9FHV2jUTy5Sl7AQAoL0xHAQAAHQqDQ1lfv3b6s3sbbdJhg2pUUNAqxs9qhp033xLMneukAsAAAAA6Nimz0gee7xa++QnivTubTgIOrOxo6ufAU8/nfzlLzVqBgCAD8xwEAAA0KlMn5E882y19qlzi9TXC76gsxg6OOnatXG9dFky7fra9QMAAAAA0NKWLi3zi/+pbpK0zTbJiWNr1BDQZhywf7LF5tXa+Ik2VQMAaG8MBwEAAJ3G8uVlfv276o3sHXdIjj+uRg0BNdGvX5GjjqzWJk4WcgEAAAAAHdeVVyevvFqtff6zRbp0sXkadHZ1dUXGNDk9aNr1yaJFshMAgPbEcBAAANBpTJ+RvPBCtXbep4rU1Qm+oLMZPbL6vn/iieTJJ4VcAAAAAEDHs3BhmQv/WL3/ufeHs8YmSkDnNXJEUrfat0kXLkxm3FCzdgAA+AAMBwEAAJ1CQ0OZP1xYDb523TU5WvAFndKBBySbbVqtTZxiOAgAAAAA6HguuzyZ83a19td/VaQobJ4GrLT5ZkUOObhaGz9RbgIA0J4YDgIAADqFm25OZj5XrX3yHMEXdFb19UVGDK/Wrp2WLF0q6AIAAAAAOo65c8tcfGn1vueRRyR7fUg+AlSNGV39XHjo4WTmc3ITAID2wnAQAADQ4ZXlmqcG7bRjcsThNWoIaBNGjaiGXHPnJrfeVqNmAAAAAABawEWXlFmwoHFdFMmnP2UwCFjTEYclGw+o1iY4PQgAoN0wHAQAAHR4d/w5eeLJau2cs4rU1Qm/oDMbNKjIvvtUaxMnC7kAAAAAgI7hzTfLXH5ltXb8ccnOO8lHgDV16VJk5IhqbcrUZNky2QkAQHtgOAgAAOjQyrLM7/5QvWG9zTbJscfUqCGgTRk9qhqC33lXMmuWkAsAAAAAaP8uuKjM4sWN6/q65LxPGgwC3t2Y0dXPiDlvJ7fcWqNmAABYL4aDAACADu3e+5JHHq3WzjmzSH298AtIjj066dWrcd3QkEy5tnb9AAAAAAA0h1dfKzPummptxIhk223kI8C722ZQkX33qdbGjbepGgBAe2A4CAAA6ND+cGH1ZvWWWyRDh9SoGaDN6dmzyODjqrWJk8qUpaALAAAAAGi/fv+HMsuWNa67dEk+eY7BIOD9jW1yetDd9yQvvCg3AQBo6wwHAQAAHdZDD5e5595q7cwzinTpIvwCGo0eVf1MeOnl5IEHa9QMAAAAAMAGeuHFMpMmV2snjk222EI+Ary/Y49J+vat1sZdYzgIAKCtMxwEAAB0WE1PDdpkk2TkiBo1A7RZH9oz2W7bam3SZCEXAAAAANA+/eZ3ZVY0NK67d0/OOctgELBuuncvMqpJpjppSrJkiewEAKAtMxwEAAB0SH95osztd1RrHz+9SPfuwi+gqiiKNU4Pmn5DsnChkAsAAAAAaF+eebbMdddXa6eekgwcKB8B1t2JJ1Q/M+bOTWbcWKNmAABYJ4aDAACADqnpqUH9+ydjx9SmF6DtGz40qV/tLsnixcn0GbXrBwAAAADgg7jgj2XK1SKS3r2TMz9mMAhYP9sMKnLgAdXa1eNsqgYA0JYZDgIAADqc554rc9PN1drppxXp2VP4BazdwIFFDjusWps4WcgFAAAAALQfL75Y5vrp1dpHP5L06ycfAdbfySdWPzsefiR58inZCQBAW2U4CAAA6HAuurS6K95GvZNTTqpZO0A7MWpENeR66OFk5nNCLgAAAACgffjjxWUaGhrXPXsmp51qMAj4YI44PNlkk2rN6UEAAG2X4SAAAKBDef31MlOvrdZOPjnp3Vv4Bby3ww9LBgyo1sZPEHIBAAAAAG3fa7PKTJ5arZ18YtK3r3wE+GC6dCkydnS1du11ycKFshMAgLbIcBAAANChXHZ5meXLG9fduiannSL4At5fly5FRo6o1iZPTZYsEXIBAAAAAG3bJZeumY989DT5CLBhxo4uUr/at0wXLUqmTqtdPwAAvDvDQQAAQIcxd16Zq6+p1kaNSjbeWPgFrJuxo6ufF3PnJjfeXKNmAAAAAADWwezZZa6ZUK2NHp1sMlA+AmyYzTYrcvjh1drV48qUpY3VAADaGsNBAABAh3H1uJW7Vb2jri4543TBF7DuthlU5ID9q7Vrxgu4AAAAAIC267LLyyxZ0riur0/O/Jh8BGgeJ59Y/Tx5+pnkoYdr1AwAAO/KcBAAANAhLFlS5k9XVL/Af9wxydZbCb+A9XPCmOrnxv0PJM8/b0AIAAAAAGh75s0rc+XV1drwockWW8hHgOZx4AHJ1ltVa+OukZsAALQ1hoMAAIAOYfKUZPbsau3Mjwu+gPV31JFJ/37V2jUThFwAAAAAQNtzxVXJggWN66JIzpKPAM2orq7IiSdUP1em35DMmSM7AQBoSwwHAQAA7d7y5WUuurR68/ngg5JddxF+AeuvW7ciI0dUa5OnJEuXCrkAAAAAgLZj4cIyf7q8et/yuGOTbbeVjwDNa9SIpFvXxvWyZcmESbXrBwCANRkOAgAA2r0bb0pefrlaO/MMwRfwwY0dU/0MeXtuctPNNWoGAAAAAGAtrpmw8t7l6s4+Uz4CNL/+/Yscd2y1dtW4MitW2FgNAKCtMBwEAAC0a2VZ5o8XV286775bsv9+NWoI6BC23aZY43PkmgkCLgAAAACgbVi6tMwll1XvWR5+aLLLzoaDgJZxysnVz5fXXktuva1GzQAAsAbDQQAAQLt29z3JE09Wa2eeUaQohF/AhjmhyelB996XPP+CASEAAAAAoPamXZ+88Ua1ds7ZshGg5ey5x8pNGld3xVVyEwCAtsJwEAAA0K5ddEn1hvOgQcnRR9WoGaBDOfqopF/fam2804MAAAAAgBpraChzcZN8ZN99kr0+ZDgIaDlFUeTUU6qfM/fcmzzzrOwEAKAtMBwEAAC0W08/U+auu6u1M04vUl8v/AI2XLduRUaOqNYmT0mWLhVyAQAAAAC1c/sdycznqrUzz5CNAC1v8HFJ//7V2pVODwIAaBMMBwEAAO3WpX+q3mju3z8ZMaw2vQAd0wljqoH6nLeTm2+pUTMAAAAAAEkuvrSaj+ywfXLoIbXpBehcunUrcsKYam3Ktcm8eQaEAABqzXAQAADQLr31Vplp11VrJ5+YdO9uZzyg+Wy7bZF996nWxo0XcAEAAAAAtfHIo2Xuf6BaO+P0IkUhHwFax0knFKlf7Zunixcnk6bUrh8AAFYyHAQAALRLV40rs2xtH0bvAAEAAElEQVRZ47pb1+TkEwVfQPM7YWz1s+Xe+5KZzxkQAgAAAABa38WXVO9NbrJJMnRIjZoBOqXNNity9NHV2pVXlWlokJ0AANSS4SAAAKDdWbKkzFXjqrWhQ5ONNzYcBDS/Y45K+ver1q68SsAFAAAAALSuF18sc+PN1dpHP1Kka1f5CNC6Tj25+rnz0svJn++sUTMAACQxHAQAALRD105L5syp1k7/iOALaBnduxcZO6Zamzw1WbDAgBAAAAAA0Hou+VOZcrXbkr16JSeMeffHA7SUffZOdtqpWrv8SrkJAEAtGQ4CAADalbIsc+nl1RvLBx2Y7Lij4SCg5Zx4QpG61e6iLFqUTJlau34AAAAAgM5l9pwykyZXayedkGy0kXwEaH1FUeQjTU4P+vOdyfMvGBACAKgVw0EAAEC7cuddycyZ1drppwm+gJa1xeZFjjyiWrviqjJlKeQCAAAAAFrelVeVWbq0cd2lS3LaqfIRoHaGDkn69KnWrrxabgIAUCuGgwAAgHbl0j9Vbyhvv31yyMG16QXoXE5tsgPe8y8kd99To2YAAAAAgE5j8eIyV15VrQ0dnGy6qeEgoHZ69CgydnS1NmlysmCBASEAgFowHAQAALQbzzxT5s67qrWPfqRIUQi/gJa3/37J9ttVa3bAAwAAAABa2sTJydtzq7UzTpeNALV38olFVo9qFy5MJk6qXT8AAJ2Z4SAAAKDduOzy6pfw+/dLhg+tUTNAp1MURU5pcnrQrbclr75qQAgAAAAAaBkNDWUu+1P1HuRhhyY77mg4CKi9LbcsctSR1dqfriizfLnsBACgtRkOAgAA2oXZs8tcO61aO+nEpHt34RfQekYMS3r1alw3NCRXXyPgAgAAAABaxm13JC+9XK05NQhoS04/rfqZ9MqryU231KgZAIBOzHAQAADQLlx9TbJ0WeO6a9eVx9QDtKZevYqMGlGtjZ+QLFliQAgAAAAAaH5NTw3aZedkv31r0wvA2uz94WSP3au1Sy+TmwAAtDbDQQAAQJu3bFmZq8dVbyAPHZwMHGg4CGh9TQcT356bTJ9Ro2YAAAAAgA7ryafK3HtftfbRjxQpCvkI0HYURZGPfbT6ufTIo8lDDxsQAgBoTYaDAACANm/6jOTNt6q10z4i+AJqY7vtihx4QLV2+ZVlylLIBQAAAAA0nz9dUb3nuPGAZPDxNWoG4D0cc3Sy+ebVmtODAABal+EgAACgTSvLMpddXr1xvO8+yS47Gw4CaufUk6ufQX95Inn0sRo1AwAAAAB0OLNnl5l2XbV28klFunWTjwBtT5cuRU47tfr5dNMtyUsvGxACAGgthoMAAIA27aGHV37pfnVODQJq7fDD1twBr+kungAAAAAAH9TV1yTLljWuu3ZNTjqhdv0AvJ8xo5JevRrXDQ2yEwCA1mQ4CAAAaNOa3jDecovkyMNr1AzA/1NfX+TkE6uDijNuSGbNEnIBAAAAABtm6dIyV11dvdc4dEgyYIDN04C2a6ONiowdXa1NnJjMnSc7AQBoDYaDAACANuu1WWVuuqlaO+XkIvX1wi+g9k4Yk/To0bhesSK54ioBFwAAAACwYa6fnrw1u1o77VTZCND2nXZqkbrVvpW6aHEyfkLt+gEA6EwMBwEAAG3WlVeVWdHQuO7ZY+Vx9ABtQd++RUYMr9bGjU8WLjQgBAAAAAB8MGVZ5rLLq/cY998v2WVnw0FA27fFFkWOPaZau/yKMsuXy04AAFqa4SAAAKBNWry4zDVNdpEaMSLp00f4BbQdH/1I9TNp/vxk8tQaNQMAAAAAtHv3P5A8+VS11vQ+JEBb9rGPVj+zXn8jmT6jRs0AAHQihoMAAIA2aeq0ZN68au20U4RfQNuy7TZFDj+sWvvT5WUaGuyABwAAAACsv6anBm29Vda4BwnQlu25R5EP71WtXXxpmbKUnQAAtCTDQQAAQJtTlmUuv6J6c/iQg5NttzUcBLQ9TXfAe/Gl5Lbba9QMAAAAANBuvfRymVturdZO+0iRujr5CNC+NM1OnnwqufOuGjUDANBJGA4CAADanLvvSZ6dWa2ddqrgC2ib9ts32Xmnau2Sy+x+BwAAAACsnyuvLrP6wRq9eyejRtSuH4AP6sgjkkGDqrUL/ig7AQBoSYaDAACANudPTU4N2nab5OCDatQMwPsoiiKnN9kB7/4Hkr88IeQCAAAAANbNokVlJk6q1saMSnr1snka0P7U1xc582NrZicPPyI7AQBoKYaDAACANuWll8rcfke19pFTi9TVCb+AtmvI8cnAjau1y/4k4AIAAAAA1s2065P58xvXRZGccpJsBGi/hg9LNtmkWvvjRbITAICWYjgIAABoU64aV6Zc7Z7wRr2TEcNq1w/AuujatcgpJ1eD+uumJ6+/LuQCAAAAAN5bWZa54qrqvcTDDkm23tpwENB+detW5PTTqp9jN9+aPDtTdgIA0BIMBwEAAG3G4sVlJk6u1kaNTHr1En4Bbd+JY5Nu3RrXK1YkV14t4AIAAAAA3tuDDyVPP12tnXyybARo/04cm/TpU6398WLZCQBASzAcBAAAtBnXTU/mzavWTj5J+AW0D/37Fxk5vFq7+ppk0SIhFwAAAADw7pqeGrT1VskhB9WoGYBm1KtXkVNPrtamXZe8+qrsBACguRkOAgAA2oSyLNc4YePgg5JtBhkOAtqPj36k+pk1b17WOBENAAAAAOAdr79e5sabqrVTTi5SVycfATqGU08p0r1743rFiuSSPxkOAgBoboaDAACANuHRx5InnqjWTnFqENDObLddkcMOrdYuubTM8uVCLgAAAABgTddMKLNiReO6R49k5Ija9QPQ3Ab0LzJ2dLU2fkIyZ47sBACgORkOAgAA2oSmpwZtsXnW+II9QHtw5hnVwcZXX0uun16jZgAAAACANmvZsjLjrqnWhg1N+vaxeRrQsXzso0Xq6xvXS5Ykl19pOAgAoDkZDgIAAGpu9pwy02dUayeeUKS+XvgFtD/77J3s9aFq7cKLyjQ0CLkAAAAAgEY33JS8NbtaO+Uk2QjQ8WyxRZGhQ6q1K65KFi6UnQAANBfDQQAAQM1NmJgsW9a47to1GTP63R8P0JYVRZGzPl4N8J+dmdx+R236AQAAAADapiuvqn4pft99kp13MhwEdEwf/1j1823evOTqa97lwQAArDfDQQAAQE2tWFFm3DXV8Ov4Y5MB/YVfQPt1+GHJ9ttXaxdeZPc7AAAAAGClJ54s89DD1dopJ8tGgI5rxx2KHHlEtXbxpWUWL5afAAA0B8NBAABATd1+R/Lqa9XayScJv4D2ra6uyJlNdsB76OHkgQcFXAAAAADAmqcGbbJJcvSRNWoGoJWcc1Y1O5k92+lBAADNxXAQAABQU1deXQ2/dt01+dCeNWoGoBkNGZxstlm19seLDQcBAAAAQGc3d26Za6+r1k46oUiXLjZPAzq2PfcocsjB1dpFFzs9CACgORgOAgAAauaFF8vceVe1dspJRYpC+AW0f127FvnYR6ufZ7fdnjz9jIALAAAAADqzKVOTpUsb1126JGNH164fgNb0yU9Us5O3ZifXjK9RMwAAHYjhIAAAoGauHlf9gnyfPsmQ42vUDEALGDs66du3WrvI6UEAAAAA0GmVZZlx46v3CI85Khk40MZpQOew14eKHHxQtfbHi8ssWSI/AQDYEIaDAACAmli8uMzEydXa6JFJjx7CL6Dj6NmzyEdOqX6uXXd98sorAi4AAAAA6IzufyB57vlq7cQTZCNA59L09KA330qumVCjZgAAOgjDQQAAQE1Muy6ZP79aO0n4BXRAp56c9OjRuF7RkFz6J8NBAAAAANAZNT01aNttkv32rU0vALXy4b2KHHhAteb0IACADWM4CAAAaHVlWebKq6s3dg85OBk0yHAQ0PH061fkhDHV2jUTkjffFHABAAAAQGcye06ZG26s1k48oUhRyEeAzqfp6UFvvJFMmFijZgAAOgDDQQAAQKt7+JHkyaeqtVNOEnwBHdfpHy1SX9+4Xro0ueQyw0EAAAAA0JlMnpIsX9647tY1GTm8dv0A1NI+exc5YP9q7YKLnB4EAPBBGQ4CAABa3VVNTg3acovk0ENq1AxAK9h8s2KNkP+qcSt3CgUAAAAAOr6GhjLXjK/eDzzuuKRvX5unAZ3XWk8PmlSjZgAA2jnDQQAAQKuaPbvMjBurtZNOLFJfL/wCOrazzypSv9qdmMWLk0udHgQAAAAAncI99yYvvlStnThWNgJ0bvvuU2S/fau1C/9YZulS+QkAwPoyHAQAALSq8ROTZcsa1926JqNH1q4fgNay9VZFhg+r1q64Knn7bQEXAAAAAHR045qcGrTD9smH96pNLwBtSdPTg15/Ixk/oUbNAAC0Y4aDAACAVrN8eZmrr6mGX4OPT/r3tzMe0DmcfVaRutXuxixalFz6J8NBAAAAANCRvflmmZtvqdZOOqFIUchHAPbfr8i++1Rrf7iwzOLF8hMAgPVhOAgAAGg1t92ezJpVrZ18kuAL6Dy2GVRk6OBq7fIrk7nzBFwAAAAA0FFNnJysWNG47t49GTa0dv0AtDWf/lQ1M37zreSqcTVqBgCgnTIcBAAAtJorr65++X333ZI99zAcBHQu55xVZPUNQRcuTP50ueEgAAAAAOiIGhrKjJ9Qvf83+PikTx/5CMA79t2nyEEHVmt/vKjMwoXyEwCAdWU4CAAAaBXPP1/m7nuqtVOcGgR0QtttV+T446q1P12ezJ8v4AIAAACAjubOu5JXXq3WTjpBPgLQVNPTg+a8nVx+ZY2aAQBohwwHAQAAreKqcdUvvfftu3JnPIDO6BNnV08Pmr9AwAUAAAAAHdG4a6r5yC47J3vsXqNmANqwD+1Z5PDDqrWLLikzb57N1QAA1oXhIAAAoMUtWlRm8pRqbcyopHt3O+MBndOOOxQ59phq7dI/lVmwQMAFAAAAAB3FrFllbru9WjvxhCJFIR8BWJumpwfNn59cdrnsBABgXRgOAgAAWty11608FeMdRZGcdKLgC+jcPnF29XNw3rzkiqtq1AwAAAAA0OwmTEpWNDSue/ZMhg2pXT8Abd2uuxQ59uhq7dI/JW+/bUAIAOD9GA4CAABaVFmWufLq6s3aww5JttrScBDQue28U5Gjj6rWLrnM6UEAAAAA0BEsX15mwsTqvb6hQ5JeveQjAO/lU58ssvoBawsXJhddIjsBAHg/hoMAAIAW9eBDydNPV2snnyT4AkiST55T/TycOze57PIaNQMAAAAANJs77kxmvV6tnXSCfATg/ey4Q5Ehg6u1K65K3nrLgBAAwHsxHAQAALSopqcGbbVVcsjBNWoGoI3ZZZcixxxdrV16WZm58wRcAAAAANCejbumeo9vj92TXXcxHASwLj75iSJ1q327dfHi5MKLZCcAAO/FcBAAANBi3nyzzI03VWsnnVCkrk74BfCO884tUqz2sTh/QXLJpQIuAAAAAGivXn21zB1/rtZOdGoQwDrbdpsiI4ZXa1ePS159TX4CAPBuDAcBAAAtZvzEZPnyxnW3bsmYUbXrB6At2nHHIscfW6396YpkzhwBFwAAAAC0R+MnlilXu73Xu3cy+Lja9QPQHn3ynCJdujSuly5LfvM72QkAwLsxHAQAALSI5cvLXDO+enN2yOCkb1874wE09alzi9Stdpdm0aLkIqcHAQAAAEC7s3x5mYmTq7XhQ5OePeUjAOtjyy2LnDCmWpsyNXl2pvwEAGBtDAcBAAAt4tbbk1mvV2unnCT4Alib7bYrMnRItXblVclbbwm4AAAAAKA9ufOu5I03qrUTxspHAD6Ic88p0rNH47qhIfnl/8hOAADWxnAQAADQIsZdU70pu8ceye67Cb8A3s0nzylSv9qdmsWLkwsvEnABAAAAQHsyfuKa+cjOO8lHAD6IjTcucvpHq7Wbb00eelh+AgDQlOEgAACg2b30Upk776rWTjlR8AXwXgYNKjJiRLV29bjkjTcEXAAAAADQHrz5Zpnbbq/WxoySjwBsiDNOL9Kvb7X281+WKUv5CQDA6gwHAQAAze6aCdUbsRttlBx/XI2aAWhHzj27SJcujeuly5I/XCjcAgAAAID2YMq1yYoVjesePZIhx9euH4COoHfvIuecXR20fODB5I4/16ghAIA2ynAQAADQrJYtKzNxcrU2cnjSvbud8QDez5ZbFhkzqlobPzF59TUDQgAAAADQlpVlmQmTqvfxjj925ZfaAdgwJ52QbL55tfbz/ynT0CA/AQB4h+EgAACgWd10czJnTrV24gmCL4B1dfZZRbp2bVwvW5b8/gLhFgAAAAC0ZQ8+lLzwQrU2ZrR8BKA5dO9e5NOfrH6mPv10Mu26GjUEANAGGQ4CAACa1dXXVL/Avu8+yfbbCb8A1tXmmxU5cWy1Nmly8tLLBoQAAAAAoK0aP7F6/27bbZIP71WjZgA6oGFDkx22r9Z+9ZsyS5fKTwAAEsNBAABAM3ruuTL33V+tOTUIYP2ddWaRbt0a1ytWJL//g3ALAAAAANqi+fPLzLihWhszukhRyEgAmkt9fZHPfab6ufrKq8k1E2rUEABAG2M4CAAAaDbXTKh+cb1/v+SYo2rUDEA7tsnAIiefVK1NuTZ5/gUDQgAAAADQ1lx3fbJkSeO6vj4ZMax2/QB0VEccvuapbL/7Q5mFC+UnAACGgwAAgGaxZEmZyVOrtVEjk27d7IoH8EGcdUaRnj0a1w0NyW9/L9wCAAAAgLZmwqTqfbsjDk823lg+AtDciqLIX322+vk6Z05yyWW16QcAoC0xHAQAADSLGTcmc+dWayeMEXwBfFADBhQ59ZRq7brrk2dnGhACAAAAgLbiyafKPP6Xam3saPkIQEvZZ+8ihx9WrV18aZnZs+UnAEDnZjgIAABoFuOuqd5sPfCAZNAg4RfAhjjj9CK9ejWuy9LpQQAAAADQlkxscmrQppskBx9Uo2YAOonPfaZIsVoUvWhR8vsL5ScAQOdmOAgAANhgzzxT5qGHq7UTxxoMAthQ/foV+ehHqrXpM5KnnxFwAQAAAECtLVlSZuq0am3UyKS+XkYC0JJ22rHIsKHV2tXjkldekZ8AAJ2X4SAAAGCDjRtfvck6cOPkqCNr1AxAB/PR04ps1Lta++3vhFsAAAAAUGs33ZLMm1etjRppMAigNXz6k0W6dm1cL1+e/Oq38hMAoPMyHAQAAGyQRYvKTLm2Whs1KunSRfgF0Bz69ily+kern6k33JQ8+aSACwAAAABqacLE6j26A/ZPtt5KPgLQGrbcsshJJ1Rr105LnnpafgIAdE6GgwAAgA1y/fRkwYLGdVEkJ4wWfAE0p9NOTTbaqFr7jdODAAAAAKBmXnq5zD33Vmtj5CMAreqcs4v06tW4Lsvkl/8jPwEAOifDQQAAwAYZN756c/WQg1fu0gRA89looyJnnF79bL351uTxvwi4AAAAAKAWJk6q3pvr0yc5+sgaNQPQSQ3ov2Z+ctsdyQMPyk8AgM7HcBAAAPCB/eWJMo89Xq2ddILBIICWcNqpSd++1ZrTgwAAAACg9S1fXmbylGpt+NCke3cZCUBrO/20pH//au3nvyxTljIUAKBzMRwEAAB8YE1PDdp0k+TQQ2rUDEAH16vXWna/uz157HHhFgAAAAC0pjvvSl5/o1obM9pgEEAt9OpV5Nxzqp/BDz2c3HpbjRoCAKgRw0EAAMAHsmBBmWnTqrWxY4p06SL8Amgpp56c9O9Xrf36t4aDAAAAAKA1jZ9YvSe3+27JzjvJRwBq5cSxyZZbVmu/+J8yK1bIUACAzsNwEAAA8IFMuy5ZtLhxXVeXjBlVu34AOoNevYp8/Izqlwzu+HPy8CPCLQAAAABoDW+9Vea226s1pwYB1FbXrkU+86nqZ/GzM5Op19amHwCAWjAcBAAArLeyLHP1NdUvoh9xWLLZZsIvgJZ28onJgAHVmtODAAAAAKB1TLk2WbGicd29ezLk+Nr1A8BKQwYnO+1Urf3qt2WWLJGhAACdg+EgAABgvT36WPLU09XaiScYDAJoDT17Fjnr49XP3LvuTh56WLgFAAAAAC2pLMtMmlK9D3fcsclGG8lIAGqtrq7IX32m+nk8a1Zy9TU1aggAoJUZDgIAANbbuCanBm25RXLwQTVqBqATOumEZODG1dpvf284CAAAAABa0qOPJTNnVmujRxoMAmgrDj0k2Xefau0PF5SZP1+GAgB0fIaDAACA9TJ3XpnrZ1RrJ4wtUlcn/AJoLd27FznzjOrn7p13JQ8/ItwCAAAAgJYyaXL1/ttWW635JXQAaqcoivzVZ6v5ydtzk4svlZ8AAB2f4SAAAGC9TL02WbKkcV1fn4waUbt+ADqrE09INh5QrTk9CAAAAABaxpIlZa6fXq2NGlGkKGyeBtCW7PWhIkcdWa1d+qfkzTdlKABAx2Y4CAAAWGdlWWbc+OpN06OPSgYOFHwBtLbu3Yuc+fHq5++f70weeVS4BQAAAADN7cabk/kLGtdFkYwYXrt+AHh3n/10kbrVvh27eHHyuwvkJwBAx2Y4CAAAWGcPPpTMnFmtnTjWYBBArZw41ulBAAAAANAaJk2u3nc78IBki81lJABt0Q7bF2sMcF4zPnnpJRkKANBxGQ4CAADW2dXXVG+WDhqU7L9fjZoBID16FPn4GdUvINzx5+TRx4RbAAAAANBcXn21zD33VmujRhoMAmjLzvtkkW5dG9crViT/8xv5CQDQcRkOAgAA1sncuWVuvLFaO2FMkbo64RdALZ10QjLA6UEAAAAA0GImT03K1W65bdQ7OfrI2vUDwPvbfLMip5xcrV13ffLEkzIUAKBjMhwEAACsk2uvS5Yua1x36ZKMHFG7fgBYqUePImecXh3UvP2O5LHHhVsAAAAAsKEaGspMmlK91zZkSNK9u83TANq6s88s0rt3tfbzX8pPAICOyXAQAADwvsqyzPiJ1ZukRx+VDOgv+AJoC04+Menfv1pzehAAAAAAbLj7H0heeaVaGz1SPgLQHvTrV+TjH6t+Zt95V3LvfTIUAKDjMRwEAAC8r7/8JXn66Wpt7GjBF0Bb0bPnmuHWbbcnjzs9CAAAAAA2yMTJ1XtsO2yf7L5bbXoBYP199CPJwI2rtf/+ZZmylKEAAB2L4SAAAOB9NT01aIvNkwP2r1EzAKzVyScm/ftVa7/9g2ALAAAAAD6oBQvK3HBjtTZqZJGisIEaQHvRs2eRcz9R/dx+7LHkpptr1BAAQAsxHAQAALynRYvKTLu+Whs9qkhdneALoC3p2bPIGU1OD7r1tuQvTxgQAgAAAIAPYvqMZMmSxnV9fTJ8aO36AeCDGTs6GbR1tfaL/ymzfLkMBQDoOAwHAQAA72nGDcnChY3rokhGjaxZOwC8h7WeHvR7wRYAAAAAfBCTplTvrR1+aLLxxjZPA2hvunQp8pnzqp/fz7+QTJ5So4YAAFqA4SAAAOA9jZ9YDb4OOTjZfDPBF0Bb1KtXkdM/Wv2MvuXW5IknDQgBAAAAwPp4/oUyDz1crY0aKR8BaK+OOzbZdZdq7Te/K7NkiQwFAOgYDAcBAADv6rnn1gy+xo4WfAG0ZaeenPTrW605PQgAAAAA1s+UqdV7av37J4cdWpteANhwdXVF/uqz1az79TeSK66qUUMAAM3McBAAAPCuJkyqBl8DBiSHH1ajZgBYJ716FfnY6dVw6+ZbkiedHgQAAAAA66ShocyUa6u14UOTLl1soAbQnh10YHLA/tXaBX8sM2+eDAUAaP8MBwEAAGu1bFmZyVOrtZHDk65dBV8Abd2pJyd9m5we9Ic/CrYAAAAAYF3ce18ya1a1NmK4fASgvSuKNU8Pmjcv+ePFMhQAoP0zHAQAAKzVrbclc+ZUa6NHCr4A2oNevYqcflr1M/uGG5MXXhRuAQAAAMD7mTy1eh9t552SXXaWkQB0BHvsXuTYY6q1K65MZs+RoQAA7ZvhIAAAYK3GT6ze/Nz7w8l22wm+ANqLU09OevduXJdlcpGd7wAAAADgPS1cWObGm6q1USPkIwAdyWfPK1K32rdnFy1OLr5UhgIAtG+GgwAAgDW8+lqZO++q1saOFnwBtCcbbVTkpBOqtclTk9dfF24BAAAAwLuZcWOyeHHjur4+GTqkdv0A0Py23bZY47P9yqucHgQAtG+GgwAAgDVMnrLyhIl39O6dNY5WB6Dt++hHinTr2rhevjy57HLBFgAAAAC8m8lTqvfPDj0kGTDABmoAHc2551RPD1q8OLn4EhkKANB+GQ4CAAAqVqwoM2FS9abn0MFJz56CL4D2ZuDAIqNGVmtXX5PMnSfcAgAAAICmXn6lzP0PVGsjh8tHADqibQYVGTa0Wrvy6mT2bBkKANA+GQ4CAAAq7rk3ee21am3MaMEXQHt1xunVne8WLUquvKp2/QAAAABAWzVlanXdt29y+GG16QWAlnfu2UXqm5wedJHTgwCAdspwEAAAUDF+YvVm5y47J7vtWqNmANhgW29d5Lhjq7XLryizeLFwCwAAAADe0dBQZvLU6j2zIccn3brZQA2goxrk9CAAoAMxHAQAAKwye06Zm2+p1saMLlIUgi+A9uysj1c/x+e8nUyYVKNmAAAAAKANevCh5JVXqrWRI+QjAB3dJ5qcHrRkSfLHiw0HAQDtj+EgAABglanXJsuXN667dU2GDqldPwA0j112LnLoIdXaxZeWWb5cuAUAAAAASdY4NWj77ZPdd6tNLwC0nkGDigwfVq1dNS556y0ZCgDQvhgOAgAAkiRlWWbCpOoNzmOPSfr2sSseQEfQ9PSg115Lpl1fo2YAAAAAoA1ZtKjMjBuqtZHDixSFjASgM1jr6UGXGA4CANoXw0EAAECS5JFHk5kzq7Uxo4VeAB3FPnsnH96rWvvjxWUaGoRbAAAAAHRuN92cLFzYuK6rS4YPrV0/ALSurbcuMnx4tXb1uOTNN2UoAED7YTgIAABIkoyfWL2xOWjrZL99a9MLAM2vKIqc2eT0oJkzk9vuqE0/AAAAANBWTJ5azUgOOjDZZBMbqAF0Jp84u0h9feN6yZLkkssMBwEA7YfhIAAAIAsWlLl+erU2elSRohB8AXQkhx+a7LB9tXapYAsAAACATuy1WWXuubdaGzlcPgLQ2Wy9VZGRazk96O235SgAQPtgOAgAAMj1M5LFixvX9XXJyBG16weAllFXV+SM06tfbLjv/uQvTwi2AAAAAOicpl6blKvdHtuod3LUkbXrB4DaOevjRepW+1btosXJ5VfKUACA9sFwEAAAkPETqzc0Dz8s2WSgXfEAOqIhg5OBG1drTg8CAAAAoDMqyzKTp1bvjR1/fNK9u4wEoDMaNKjI4OOrtT9dkSxcKEcBANo+w0EAANDJPf1Mmcceq9ZGjxZ6AXRU3boVOeXk6uf89TOSWbMEWwAAAAB0Lo88mrzwQrU2criMBKAzO/vj1d8D8+cnV42rUTMAAOvBcBAAAHRyE5qcGjRwYHLowTVqBoBWcdIJSffujesVK5LLrzIcBAAAAEDnMnlK9Z7YoEHJXh+qUTMAtAk77ljkqCOrtUsvK7NkiRwFAGjbDAcBAEAntmRJmanTqrVRI5MuXeyKB9CR9etXZOSIau2aa5KFCwVbAAAAAHQOS5aUuX5GtTZyeJGikJEAdHbnnFX9XfDW7GTCxBo1AwCwjgwHAQBAJ3bLrcncudXamJFCL4DO4KMfKbL69xzmL0gmTq5dPwAAAADQmm65LZk/v3FdFMnwYbXrB4C2Y4/dixx0YLX2x0vKLFtmkzUAoO0yHAQAAJ3YxMnVm5f775dsvbXhIIDOYNttihxxeLV22eVlVqwQbAEAAADQ8U2dumZGssXmMhIAVmp6etCsWcnUaTVqBgBgHRgOAgCATuq1WWXuurtaG+3UIIBO5WMfrX7uv/JKcvMtNWoGAAAAAFrJ7Nll/nxntTZiuIwEgEb77pN8eK9q7cKLbLIGALRdhoMAAKCTmjwlKVe7b9m7d3LM0bXrB4DWt8/eye67VWuXXCbUAgAAAKBju35GsqKhcd2jR3LMUbXrB4C2pyiKnHN2dXD0xReTG26sUUMAAO/DcBAAAHRCDQ1lJk2pfvl7yPFJjx52xQPoTIqiyOlNTg96+JHk4UcMCAEAAADQcU29tnr/66gjk169ZCQAVB16cLLrLtXaH/5YpizlKABA22M4CAAAOqEHHkxefrlaGzVS6AXQGR13TLLZZtWa04MAAAAA6Kief77MY49Xa8OHykgAWFNRFDn7zOrviKefTu74c40aAgB4D4aDAACgE5o0ufql7+23T/bcoza9AFBbXboUOe3UarB1083Jq68ZEAIAAACg45k6rXrfa+MByYEH1KgZANq8Y45Ottu2WvvjxTIUAKDtMRwEAACdzIIFZWbcWK2NGlGkKOyKB9BZjR2d9OzZuG5oSMaNF2wBAAAA0LGUZZlrp1VrQwav3EAHANamrq7IGR+r/p64/4Hk0cfkKABA22I4CAAAOpnpM5LFixvX9XXJiGG16weA2ttooyIjh1dr48cnS5YItgAAAADoOB58KHnl1Wpt+DCDQQC8t2FDkoEDq7WLLpGhAABti+EgAADoZCZNqd6kPPywZOONBV8And0pJ1d/F8x5O2ucNAcAAAAA7dnUadWMZPvtkl13qVEzALQb3boV+ehHqjnKjTclL75oQAgAaDsMBwEAQCfy3HNlHnq4Whs10mAQAMn22xU5YP9q7YqrhFoAAAAAdAxLl5aZPqNaGz6sSFHISQB4fyeOTXr1alyXZXLJZXIUAKDtMBwEAACdyMQmpwYNGJAcdmiNmgGgzTm1yelBjz2WPPqYYAsAAACA9u/2O5L586u1oYNr0wsA7c9GGxU56YRqbdKUZM4cOQoA0DYYDgIAgE5i+fIyU6dWa8OHJl262BEPgJUOPyzZfPNq7cqrhVoAAAAAtH9Tp1Xvc+27T7LFFjISANbdaacW6dKlcb10aXLNhNr1AwCwOsNBAADQSfz5zuTNt6q1USOFXgA06tKlyEknVH83XD89mW3XOwAAAADasblzy9x2e7U2fKiMBID1s+mmRQYfV61deXWZ5cvlKABA7RkOAgCATmLSlOoNyT33SHbcQfAFQNWY0Um3ro3rZcuSCRNr1w8AAAAAbKjpNyTLlzeuu3VNjj2mZu0A0I6d9pFqxv7GG8mMG2vUDADAagwHAQBAJ/D222Vuva1ac2oQAGszoH+RwcdXa1eNs+sdAAAAAO3X1Gur97YOPzzp00dOAsD62323Ih/eq1r70+UyFACg9gwHAQBAJ3D9jCY74nXLGsedA8A7Tj25+sWIWbOSW2+vUTMAAAAAsAFeernMQw9XayOGGQwC4INrenrQo48lDz9iQAgAqC3DQQAA0AlMmVq9EXnUEXbEA+Dd7b57kT33qNauvEqoBQAAAED7M+266rpf3+SQg2vTCwAdw9FHJpttVq396Qo5CgBQW4aDAACgg3v++TKPPlatjRhuMAiA99b09KB77k2enSnYAgAAAKD9KMsyU66t3tM6/vika1c5CQAfXJcuxRo5yg03Jq+/LkcBAGrHcBAAAHRwTUOvAQOSgw6sUTMAtBvHHZv071+tXXm1UAsAAACA9uOxx5MXX6zWhg81GATAhhs7OunRo3G9YkVy5Tg5CgBQO4aDAACgA2toKHPttGpt6OCVOxkBwHvp1q3ICWOqtWnTksWLBVsAAAAAtA9Tm2ygNmjr5EN71qgZADqUvn2LjBhWrV1zTbJkiRwFAKgNw0EAANCBPfBg8upr1dqI4QaDAFg3J4wpUqz2a2P+guSGm2rXDwAAAACsq+XLy1w/vVobNrRIUchJAGgeHzm1+jvl7blZY/NOAIDWYjgIAAA6sClNdsTbcYdkl51r1AwA7c4WWxQ56MBqbcJEO94BAAAA0Pb9+c5kztvV2rAhtekFgI5p++2KHHxQtfanK8qUpSwFAGh9hoMAAKCDWrKkzIwbqrURw+2IB8D6GTu6+nvj/geS558XagEAAADQtk2dVr2HtdeHkkGDZCQANK/TPlL93fLMs8m999WoGQCgUzMcBAAAHdTNtyQLFzauiyIZOrh2/QDQPh15RNK/X7U2YZLhIAAAAADarvnzy9xya7U2bKjBIACa3yEHJdtuU6396Qo5CgDQ+gwHAQBABzXl2uoNxwMPSDbdVPAFwPrp2rXIiOHV2uSpybJlgi0AAAAA2qYbbkqWLm1c19cng4+rXT8AdFx1dUU+cmo1h7/t9uTV1+QoAEDrMhwEAAAd0JtvlrnzrmptxDCDQQB8MGNHV3+HzJ69MtgCAAAAgLbo2mnVL2QfdmjSr5+cBICWMWJY0qtX47qhIRk/wXAQANC6DAcBAEAHdN30lTcc39GzR3L0UbXrB4D2bbvtiuz94Wpt/EShFgAAAABtz2uzytx3f7U2fKjBIABaTq9eRYYPq9YmTEyWL5elAACtx3AQAAB0QFOmVm8yHnNM0rOn4AuAD67p6UF/vnPlFy0AAAAAoC2Zdl1SrnbbaqPeyeGH1a4fADqHk0+o5ihvvpXcdEuNmgEAOiXDQQAA0ME89XSZJ5+q1kYMMxgEwIY59pikd+/GdVkmkybXrh8AAAAAaKosy0y9trqhzXHHJt27y0kAaFk77lhk7w9Xa1ddbZM1AKD1GA4CAIAOpmnotdmmyX771qYXADqOnj2LDB1crU2YVGbFCsEWAAAAAG3DU08lz86s1oYNNRgEQOs46cTq75z77k9mPidHAQBah+EgAADoQFasKHPtddXa0CFJfb3gC4ANN2Z09ffJa68ld99To2YAAAAAoIkp06pfwN5882SfvWvUDACdzrFHJ/37V2tXX2M4CABoHYaDAACgA7nn3uTNN6u14cMMBgHQPHbbNdll52pt/EShFgAAAAC1t3x5meuabKA2bGhSVycnAaB1dOtWZPTIam3KlGTRIlkKANDyDAcBAEAHMmVq9abibrsmO+4g9AKgeRRFkbFjqr9Xbrk1mT1bqAUAAABAbd17X/LmW9Xa8KEyEgBa14knFClW+/Uzf0Fy/fTa9QMAdB6GgwAAoINYuLDMTbdUa04NAqC5DR2cdOvWuF6+PLn2und/PAAAAAC0hqnXrrmB2vbbyUkAaF1bbVnk0EOqtavG2WQNAGh5hoMAAKCDuPGmZPHixnV93covcANAc+rTp8hxx1RrTU+uAwAAAIDWtHBhmRtvrtacGgRArZx0QvV30F+eSB57XJYCALQsw0EAANBBTGmyI94hhyQDBgi+AGh+I4ZXf788+VTy1NNCLQAAAABq4+Zb1txAbYgN1ACokUMPSbbYvFpzehAA0NIMBwEAQAfw2qwy995XrTX94jYANJf990s23aRam3qtUAsAAACA2pg6rXpv6sADk403lpMAUBv19UVOGFv9PXTd9cncubIUAKDlGA4CAIAOYNp1SbnafcSNeidHHFa7fgDo2OrriwwfVq1dOy1ZvlyoBQAAAEDreuPNMnffU60NH2YwCIDaGjMq6dKlcb10aTLl2tr1AwB0fIaDAACgA5h2ffXL2Mcdm3TvLvgCoOU0/YLFm29ljS9hAAAAAEBLu+76pKGhcd2zR3LUEbXrBwCSlSfYHXNUtTZxcpmytNEaANAyDAcBAEA798wzZZ5+ulobNtRgEAAta4fti+y+W7U25VqBFgAAAACt69pp1XtSxxyT9OwpJwGg9saMrv4+evrp5Ikna9QMANDhGQ4CAIB2btr0aui16SbJPnvXqBkAOpURw6uh1k03JwsWGBACAAAAoHXMfK5c40vWw22gBkAbccD+yeabV2uTJstRAICWYTgIAADasbIsc9111drg45O6OsEXAC1v8PFJfX3jeunSZMaNtesHAAAAgM5l2nXVL1gP3DjZf78aNQMATdTVFRk1olq79rpkyRIDQgBA8zMcBAAA7dgjjyavvFqtDR1iMAiA1jGgf5HDDq3WpkwVaAEAAADQ8sqyzLTrq7WVm9nISQBoO0aOqP5emjcvueW2GjUDAHRohoMAAKAda7oj3rbbJLvuUqNmAOiURg6vhlr3P5C8/IoBIQAAAABa1iOPJi+/XK0Ns4EaAG3MVlsWa5xqN2myHAUAaH6GgwAAoJ1avrzM9BuqtaFDihSF4AuA1nPYoUmfPtXatdNq0wsAAAAAnce106pfrN5mm2S33WrUDAC8h1Ejqxn+nXcls2YZEAIAmpfhIAAAaKfuvS+ZPbtaGzK4Nr0A0Hl161Zk8PHV2pSpZcpSqAUAAABAy1jbBmrDbKAGQBt17NFJr16N67JMplxbu34AgI7JcBAAALRT066rful6j92TbQYJvQBofSOGVX//vPhS8sijNWoGAAAAgA7vrnuSOXOqtaE2UAOgjerRY82N1iZNttEaANC8DAcBAEA7tGRJmRtvrtaGDDYYBEBtfGjPZNCgam3yFIEWAAAAAC1j2rQmG6jtkQyygRoAbdjokWtutPbgQzVqBgDokAwHAQBAO3Tb7cnChY3rokgGH1e7fgDo3IqiWOP0oOtnJEuXGhACAAAAoHktWlTm5luqtWFDDAYB0LZ9aM9k222qtYmT5SgAQPMxHAQAAO3QtOurNwn33y/ZZBPBFwC1M2JYdT1/fnLHn2vTCwAAAAAd1y23JYsWN67r6mygBkDbVxRFRo+qZvozZiQLFxoQAgCah+EgAABoZ+bNK3P7HdXa0MEGgwCorS22KLLP3tXa9dMFWgAAAAA0r2nTqvecDjwg2XhjOQkAbd/wYUn9at/aXbQ4mXFj7foBADoWw0EAANDO3HRLsmxZ47pr1+Too2vXDwC8Y0iTYdVbbrPjHQAAAADNZ86cMn++q1obOsRgEADtwyYDixxySLU2abIcBQBoHoaDAACgnZl2XfXm4KEHJ337CL4AqL1jj6nueLdkycoBIQAAAABoDtNvSFasaFx3754cc1TN2gGA9TZ6ZDXbf+DB5MUXDQgBABvOcBAAALQjb7xZ5t77qrUhdsQDoI0Y0L/IAQdUa9ddL9ACAAAAoHk03UDtyMOTXr3kJAC0H4cflvTvV61NnSZLAQA2nOEgAABoR6bPSBoaGtc9eyZHHFa7fgCgqaGDq1/GuPOuZO5coRYAAAAAG+aVV8o89HC1NtQGagC0M127Fhl8fLV27bSkLGUpAMCGMRwEAADtyLQmpy8cfVTSo4fgC4C24+ijkm5dG9fLlyc33lS7fgAAAADoGK6bXl337ZsccnBtegGADTF8WDXjf+nl5JFHatQMANBhGA4CAIB24sUXyzz2WLXW9HQGAKi13r2LHNbkVLvrptvtDgAAAIANM+266j2m445ZefoCALQ3e+yebLNNtTblWlkKALBhDAcBAEA70XRHvP79kwMPqEkrAPCehhxf/VLGvfclb7wp1AIAAADgg3n6mTLPPFutDR1iMAiA9qkoigwfWv09dv2MMkuXyVIAgA/OcBAAALQDZVmuuSPesUmXLoIvANqeww9LevZsXJdlMn1G7foBAAAAoH277vpqRrLZpsneH65RMwDQDIYNra7nzk1uvnlZbZoBADoEw0EAANAOPPVU8tzz1drQwQaDAGibuncvcvSR1VrTL3AAAAAAwLpYuYFatTb4+KSuTk4CQPu11ZbFGoOu4ycuqU0zAECHYDgIAADagWlNvlC9xebJXh+qUTMAsA6GNBliffSx5KWXDQgBAAAAsH4efiR59bVqbegQg0EAtH/Dh1V/n91w49K8PbehRt0AAO2d4SAAAGjjGhrKXHd9tTZksB3xAGjbDjow6de3Wps+oza9AAAAANB+NT2Rerttk112rlEzANCMjjs26dq1cb1sWTL12qW1agcAaOcMBwEAQBv38CPJrNerNTviAdDWdelS5NhjqrWmX+QAAAAAgPeyfHmZ65tsODNkcJGikJMA0P717VPk8MOqtfETltSmGQCg3TMcBAAAbdz0GdUvUm+/fbLTjkIvANq+wcdXf189/UzyzLMGhAAAAABYN/fcm8yZU60NGVyTVgCgRQwfWs1S7r1veV5+RZYCAKw/w0EAANCGrVhRZsYN1drg4wwGAdA+7LN3sskm1ZrTgwAAAABYV03vJe2xe7LNIDkJAB3HYYcmfftWa9dOk6UAAOvPcBAAALRhDzyYvPlWtXb8sTVpBQDWW319kcHHVWvTZyRlKdQCAAAA4L0tWVLmxpurtSGDDQYB0LF07Vrk+CZZypRrS1kKALDeDAcBAEAbNv2G6g2/nXZKtttO8AVA+zH4+OrvrRdfSp56ukbNAAAAANBu3HZ7snBh47oossZGNADQEQwfWs1SXngheezxGjUDALRbhoMAAKCNWr68zA03VmuDjzMYBED7ssfuyRabV2szbrDbHQAAAADv7brp1XtI+++XbLKJnASAjmevDyVbb12tXTtNlgIArB/DQQAA0Ebdd38yZ061dvyxNWgEADZAURQ59phqbcaNSVkKtQAAAABYu3nzytx+e7U2dLDBIAA6pqIo1jg96LrpKzcUBQBYV4aDAACgjZre5FSFXXdNBg0SfAHQ/hx3bPX31wv/P3v/GWBXed2N22tPUUMSEhICIXrvTYA0M+qFDgbbYHBNnNhxJbgl8WPnefP8EzvENnZsx05csI1jx93GxlT1MqORRBEIEB3RRFdDXTOz3w8KGt0qoDKaPeec6/qke80+RwsQOvvs3173fjbiyacKagYAAACALm/m7IgNG9vXNTURo0YV1w8A7G1bDwctX75pQ1EAgJ1lOAgAALqglpY8ZsxMa+PHGgwCoDSdeELEoEFpbfoMu90BAAAAsH2Tp6TXjuqGRfTtIycBoHwdfHAWJ51UndQmT5WlAAA7z3AQAAB0QXfdHbFyZVobO6aITgBgz2VZFmNHp7Vp0wtpBQAAAIAu7rXX8rj7nrQ2YYLBIADK34XndU/WM2ZGbNxoQAgA2DmGgwAAoAuaOj29wHfCCREHDRZ8AVC6xoxOP8cWPx3x1GKBFgAAAACpqdMj2tra1z17RjTUFdYOAHSa887rlqxXrYqYN7+gZgCAkmM4CAAAupiNG/OYOSutjR9rMAiA0nbSiRH7D0xrnh4EAAAAwNYmT0k3lBk1IqJHDzkJAOVv8IHVceYZNUltylQbrQEAO8dwEAAAdDHz5m/aAWhLY8cU0QkAdJyqqizGjE5r06YLtAAAAABo9/ySPB58KK1NmGAwCIDKcf5WTw+a1Rixbp08BQB4a4aDAACgi5m61Y3Sp5wcccAgwRcApW/M6PTz7KnFEYufFmgBAAAAsMmUqel6374RZw8tphcAKMK5E7tH1RZ39q5dGzGnubh+AIDSYTgIAAC6kPXr85g1O62NG2swCIDycMrJEQMGpLXpM4rpBQAAAICuJc/zuHNyupHM2LERNTVyEgAqx/4Dq+LMM9LalKk2WgMA3prhIAAA6ELmzotYs6Z9nWURY0cX1w8AdKSqqizGjEpr02YItAAAAACIeOLJiMWL09rE8QaDAKg848eln39NzRFr1shTAIA3ZzgIAAC6kKnT0wt6p50aMXCg4AuA8jF2TPq59sQTEc88K9ACAAAAqHSTp6TXiAYN2vQkagCoNGNGZVFd3b7esCFidmNx/QAApcFwEAAAdBHr1uXRuNUFvXFjDQYBUF5OOTliwH5pbfqMYnoBAAAAoGtoa8tj8pS0NmH8pidRA0Cl6ds3i2Fnp7XJU220BgC8OcNBAADQRcxpjli7rn1dVRUxZlRx/QDA3lBdncWorT7fpk0XaAEAAABUsgcejHjxpbQ2cbzBIAAq1/hx6efgvPkRK1fKUwCAHTMcBAAAXcTUrW6MPuP0iP32E3wBUH7Gjk4/3x57POK55wRaAAAAAJVq8pT02tDhh0UcfVRBzQBAFzCiIaJbbfu6pSVi5qzi+gEAuj7DQQAA0AWsWZNH05y0Nm6swSAAytNpp0b075/Wps8sphcAAAAAitXSksfU6WltwvgsskxOAkDl2mefLOrq0trkqTZaAwB2zHAQAAB0AU1zItavb19XV0WMHllcPwCwN1VXZ9t8zs2aLdACAAAAqER33R2xfHlamzi+kFYAoEsZPy4dlL3n3oilS+UpAMD2GQ4CAIAuYOr09ALe0KER/frZEQ+A8jVqZPo59+BDEa++JtACAAAAqDSTpqTXhE44IWLIEBkJANQPj+jZo33d1hYxbUZx/QAAXZvhIAAAKNjq1Xk0N6e1cWOFXgCUtzNOj9hnn7Q2u7GQVgAAAAAoyLp1ecyYmQ4HTRwvIwGAiIgePbIYMSKtTZ9hozUAYPsMBwEAQMFmN0Zs2Ni+rqmJGDWyuH4AoDPU1mZRNzytzZot0AIAAACoJDNmboi1a9vXVVUR48YW1w8AdDXjxqRDs/fdH7FsmTwFANiW4SAAACjYtK129jn7rIi+feyKB0D5G9mQft7dc++mJ+oBAAAAUBluvW1Dsj7j9IiBA2QkAPCGc86O6Nmjfd3WFjFzdnH9AABdl+EgAAAo0OrVecybl9a23vkHAMrV8GGbnpj3ho0bI5rn7fh4AAAAAMrHypVtMWNWOhw0cYKMBAC21L17FvV1aW36DButAQDbMhwEAAAFapwTsWFj+7qmJmJEQ3H9AEBn2mefLIaemdZmzRZoAQAAAFSCyVM2xMYtMpLa2ojRI4vrBwC6qtGj0+HZe+6JWLFCngIApAwHAQBAgbbe0efssyL69LErHgCVY+SI9HNvTnPExo0CLQAAAIByd8tt6VODhg+TkQDA9gw/J6J79/Z1a1vE7Kbi+gEAuibDQQAAUJA1a/JonpvWxowWegFQWbZ+Yt7q1RH3LiikFQAAAAA6yauv5TFv/sakNnGCjAQAtqdXryyGnZPWZsyw0RoAkDIcBAAABZnTHLFhi03xqqsjRjbs+HgAKEcDB2Rx4glpbVajQAsAAACgnE2dlkdbW/u6Z8+Ihrri+gGArm7MqHSIdt5dEatWyVMAgHaGgwAAoCDTttrJZ+iZEX372hUPgMozckT6+Td7dkRbm0ALAAAAoFxNmpxe+xk9KqJ7dxkJAOxIfV1EbW37uqUlomlOcf0AAF2P4SAAACjA2rV5zGlOa2NHC70AqEyjRqTrV16NeOTRYnoBAAAAYO967rk8HlqU1iaOl5EAwJvp3TuLs4emta03JAUAKpvhIAAAKEDz3Ij169vX1VURI0fs+HgAKGeHHZbFoYektZmzBVoAAAAA5Wjy1HTdr1/E0DMLaQUASsqYrTYcnTsvYs0aeQoAsInhIAAAKMD0rXbwOeOMiH797IoHQOUasdWQ7KzZxfQBAAAAwN6T53lMmpxmJOPGZlFTIyMBgLcyoiGiurp9vWFDxJy5xfUDAHQthoMAAKCTrV+fR9OctLb1Dj8AUGlGjUg/Cxcvjnj2ObvdAQAAAJSTxx+PePqZtHbuBBkJAOyMvn2zbZ62N2OmLAUA2MRwEAAAdLLmeRFr17Wvq6oiRo8srh8A6ApOPCFiv/5pzdODAAAAAMrLpCnpDcxDDqqKk08qqBkAKEGjR6VDtXPmbNqgFADAcBAAAHSy6TPSC3OnnxbRv79d8QCobFVVWYwYkdZmzRZmAQAAAJSLtrY8Jk9Jaxde0D2yTEYCADtr1IhNG5C+Ye26iLnziusHAOg6DAcBAEAnWr8+j8amtDZmtNALACIiRo5IPxMfeDBi6VIDQgAAAADl4P6FES+/ktYuuqBbMc0AQInq3z+L005NazNmylIAAMNBAADQqebfFbFmTfs6yyJGjyyuHwDoSoaeEdGzZ/s6zyOamovrBwAAAICOM2lyeuPyscdUxzHH1BTUDQCUrjGj0s3WZjdFbNhgQAgAKp3hIAAA6ETTZqQX5E47NWLAAE8OAoCIiG7dshh2dlprbBJmAQAAAJS6jRvzmDYjrV14QfdimgGAEjd6VLpevTri7nuK6QUA6DoMBwEAQCfZsCGP2Y1pbcxog0EAsKWG+vSzcf5dEevXGxACAAAAKGXz74pYuTKtXXBet2KaAYASN3BgFqecnNZmzpalAEClMxwEAACd5K67N+3Ys6XRI4vpBQC6quHDI7It5oPWrYu4d0Fh7QAAAADQASZNSW9YPuXkiIMPri6oGwAofSNHpJutzW6MaG01IAQAlcxwEAAAdJLpM7YNvvbf35ODAGBL/ftlcfJJaa1xjjALAAAAoFStXZvHrNlpbeIE+QgA7ImRI9L1smURDy0qphcAoGswHAQAAJ1g48Y8Zm4VfI0dLfgCgO2pr0s/IxubIvLcgBAAAABAKZrdtOnp0G+orooYN0ZGAgB74pCDszji8LQ2a7YsBQAqmeEgAADoBHffE7FqVVobPbqYXgCgq2uoT9cvvxzx+BPF9AIAAADAnpk0Ob1R+ayzIvr3NxwEAHtq66cHzZxlszUAqGSGgwAAoBNMn5FegDvpxIgDBgm+AGB7jjg8YvCBaa2xqZBWAAAAANgDK1bkMXdeWpswXj4CAB1h1Mj0M/W55yOeWlxMLwBA8QwHAQDAXtbSksfM2WltzGjBFwDsSJZl2zw9qGmOne4AAAAASs30mRGtre3rbt0iRo3Y8fEAwM477tiIQfuntVmzt38sAFD+DAcBAMBedu+CiJUr09qYUYW0AgAlo6E+HaRd9HDE0qUGhAAAAABKyaTJ6fWchvqIffaxgRoAdIQsy2LkVkO3s2bLUgCgUhkOAgCAvWzajPTi2wnHRwweLPgCgDdz+mkRvXq1r/M8oqm5uH4AAAAA2DUvvZzHffentYnj5SMA0JFGjkg/Wx9+ZNNnMABQeQwHAQDAXtTSksfMmWltzGjBFwC8ldraLM45O601NgmzAAAAAErFlKmbNnx5Q+99IoYPK64fAChHp58W0bt3WpvdWEwvAECxDAcBAMBedN/9EctXpLUxo4vpBQBKTUNdOlB7110R69cbEAIAAAAoBZOnpNdxRo+O6NbNBmoA0JFqarJoqEtrs2bLUgCgEhkOAgCAvWjajPSi27HHRgw5SPAFADtj+PCIbIuPzbXrIu5dUFg7AAAAAOykp5/O49HH0trE8fIRANgbRo5IP2PvXRCx8nUDQgBQaQwHAQDAXtLamsfMmWlt7GjBFwDsrP79sjj5pLTWOEeYBQAAANDVTZ6aXsMZsF/EGacX0wsAlLth50R069a+bm2NmDOnuH4AgGIYDgIAgL3k/oURS5eltTGji+kFAEpVfV06WNvYFJHnBoQAAAAAuqo8z2PS5LQ2flxEdbUN1ABgb+jZM4uzz0prs2bLUgCg0hgOAgCAvWT6jPRi29FHRRxysOALAHZFQ326fvnliMefKKYXAAAAAN7aw49EPPd8Wps4QT4CAHvTyBHpZ+3ceRHr1xsQAoBKYjgIAAD2gra2PKbPTGtjRgu+AGBXHXF4xODBaa1pTiGtAAAAALATJk1Ob0Q+eEjE8ccV1AwAVIiG+oiqLe4IXrsu4q67i+sHAOh8hoMAAGAvWPhAxGuvpbWxo4vpBQBKWZZl0VCX1hqb7HQHAAAA0BW1tuYxZWpamzB+0zUeAGDv6d8vi1NOTmuzZstTAKCSGA4CAIC9YPqM9CLbkUdEHHaY4AsAdkdDffoZuujhiGXLBFoAAAAAXc2C+yJeW5rWJoyXjwBAZxg5Iv3Mnd20aXAXAKgMhoMAAKCDtbXlMWNmWhszWvAFALvr9NMievZsX+d5RPPc4voBAAAAYPsmTU5vQD72mIjDbZ4GAJ1i5Ih0vXx5xAMPFtIKAFAAw0EAANDBHloU8fIraW3smCI6AYDyUFubxdlnpbWmZjvdAQAAAHQlGzbkMX1GWvPUIADoPEMOyuKoo9LazNnyFACoFIaDAACgg02bnl5cO/ywiCMOF34BwJ6oH55+ls6bH9HSItACAAAA6Cqa50asWt2+zrKICeOK6wcAKtGorZ4eNGt2RJ7LUwCgEhgOAgCADtTWlse0rXbFGzumiE4AoLwMH56uV6+OuH9hMb0AAAAAsK1JU9Ibj087NWLQIJunAUBnGjki/exdsiTiyacKagYA6FSGgwAAoAM9tCji5ZfT2pjRgi8A2FMDB2Rx7LFpbU6zne4AAAAAuoLVq/NobEprE8bLRwCgsx1zdMQBB6S1WbOL6QUA6FyGgwAAoANNn5HepHzoIRFHHlFQMwBQZuq3enrQnOZi+gAAAAAgNasxYsOG9nV1dcTY0cX1AwCVKsuyGDkirc2cbbM1AKgEhoMAAKCD5Hke02ektbFjNl18AwD2XN3w9DN18dMRzy8RaAEAAAAUbdLk9BrNsHMi9t1XPgIARRg1Iv0MfvTRiBdflKcAQLkzHAQAAB1k0cMRL76U1saOEXwBQEc54fiIfv3SmqcHAQAAABRr2bI87rorrU2cIB8BgKKcekpE375pbVZjMb0AAJ3HcBAAAHSQadPTnXYOPjjiqCMLagYAylBVVRZ1w9Ja0xw73QEAAAAUaer0iNa29nWPHhEj6gtrBwAqXk1NFg11aW3WbHkKAJQ7w0EAANAB8jyP6TPS2tgxEVlmZzwA6Eh1deln64IFEWvXCrQAAAAAijJ5SnptZkRDRM+e8hEAKNLIEeln8X33Rax8XZ4CAOXMcBAAAHSARx6JeOHFtDZutOALADraOWdFVFe3rzdsjLjrnuL6AQAAAKhkL7yQx8IH0trE8fIRACja2WdFdKttX7e2RcydV1w/AMDeZzgIAAA6wNQZ6Q47Qw6KOProgpoBgDLWu3cWp56S1ubMsdMdAAAAQBEmT03XfftGnHN2Mb0AAO169sxi6NC01tgkTwGAcmY4CAAA9lCe5zF9RlobOyYiy+yMBwB7Q93w9DN2TnMeeS7QAgAAAOhsk6ek12TGjo6orZWPAEBX0FCXfiY3z41oaZGnAEC5MhwEAAB76NHHIpYsSWtjxwi+AGBvqa9L1y+/EvHIo63FNAMAAABQoZ54Mo8nnkxrEyfIRwCgq9g6T1m1KuL+hcX0AgDsfYaDAABgD02bnu6sc9BBEcceU1AzAFABDjs0YvDgtDZz1oZimgEAAACoUFs/NWjQ/hGnnlJQMwDANgYNyra5d6FxjicHAUC5MhwEAAB7IM/zmDY9rY0ZHZFldsYDgL0ly7KoH57WZszaWEwzAAAAABUoz/OYNDmtjR8XUVUlHwGArqShPl03NhXTBwCw9xkOAgCAPfD44xHPL0lr40YLvgBgb6sbnn7e3n9/Syxb1lZQNwAAAACV5YEHI158Ka1NnCAfAYCupqEu/Xx+7rmIZ57x9CAAKEeGgwAAYA9MnZFeNBt8YMRxxxXUDABUkDNOj+jRo33d1hYxu9HTgwAAAAA6w+QpaT5y2KERxxxdUDMAwA4de2zEgP3S2mxPDwKAsmQ4CAAAdlOe5zFtelobOyYiy+yMBwB7W/fuWQw9M63NmLWhmGYAAAAAKkhLSx5TpqW1iRMy+QgAdEFVVVnU16W1pjmeHAQA5chwEAAA7KbHn9j0yO0tjRkt+AKAzlI3PP3cbWzcGC0tAi0AAACAvenueyKWL09rE8YV0goAsBMa6tM8ZeHCiJWvy1MAoNwYDgIAgN00fUZ6sezAAyJOOL6gZgCgAtUNT9crX8/jgQeL6QUAAACgUkyakuYjJ5wQcfDBNk8DgK7qrKER3bq1r1vbIprnFtcPALB3GA4CAIDdkOd5TJue1saMjsgy4RcAdJYDBmVx1FFpbU6zne4AAAAA9pb16/OYMTOtTRwnGwGArqxHjyzOOjOtNTbJUwCg3BgOAgCA3fDkUxHPPJvWxo4RfgFAZ6vf6ulBTXOEWQAAAAB7S+OciLVr29dZFjFuXHH9AAA7p74+vZ9h7tyIlhaZCgCUE8NBAACwG6ZNTy+SDRoUceIJBTUDABWsbngaZj35VMSLLwmzAAAAAPaGyVPS6y5nnhExcIDN0wCgq2uoS9erVkfcv7CYXgCAvcNwEAAA7IbpM9L12NERWSb8AoDOdtKJEX37prU5zcX0AgAAAFDOVr6eb3PdZeIE2QgAlIL998/i2GPTWmOTzdYAoJwYDgIAgF305FN5LH46rY0dI/wCgCJUV2cx7Jz0c3jOHGEWAAAAQEebPiNi48b2dW1txOiRxfUDAOyarZ8e1NgUkecyFQAoF4aDAABgF02bnl4c239gxIknFNQMABD1w9P1XfdErFsnzAIAAADoSHdOSq+3NNRF9Olj8zQAKBUN9enn9nPPRzzzTEHNAAAdznAQAADsoukz0vWY0RFVVcIvACjK8GFZVG1xlWvDhoh77i2uHwAAAIBy8+KLeSy4L62dO1E2AgCl5LhjIwYOTGuNc4rpBQDoeIaDAABgFyx+Oo+nFqe1sWOEXwBQpL59szj9tJqkNmeuJwcBAAAAdJRJU9J1nz4Rw4cV0wsAsHuyLIv6urTW2CRPAYByYTgIAAB2wbTp6XrgwIiTTyqkFQBgC6NGdkvWzXMj8lygBQAAALCn8jyPO+5Mr7OMGxPRrZvN0wCg1DTUpZ/fCx+IWLFCngIA5cBwEAAA7IJp09OLYmNGRVRVCb8AoGgjGmqT9QsvRDz7bEHNAAAAAJSRxx6PWPx0Wjt3omwEAErRWUMjundvX7e1bdpwDQAofYaDAABgJz39dB5PPpXWxo4RfgFAV3D8cdWx//7p57IwCwAAAGDP3TEp3Tht8IERp5xcUDMAwB7p3j2Ls4amtcY5nhwEAOXAcBAAAOykaTPS9YABwi8A6CqyLIuRDd2S2py5wiwAAACAPdHamsfkyWltwoSIqiqbpwFAqWqoTz/H586L2LhRpgIApc5wEAAA7KRpM9KLYWNGCb8AoCsZMaI2WS+4L2LtWmEWAAAAwO66596I15amtXMnyEYAoJTV16Xr1asj7ru/mF4AgI5jOAgAAHbCM8/m8cQTaW3MaOEXAHQl9cNro7q6fb1x46YbWAAAAADYPXdMSjdeOfbYiCMOl48AQCkbOCCL449La41NNlsDgFJnOAgAAHbCtOnper/+EaeeUkgrAMAO9OlTFaecnNaa5wmzAAAAAHbH2rV5zJiZ1s6baDAIAMpBQ336md44JyLPZSoAUMoMBwEAwE6YMjW9CDZ6dER1tQAMALqa4cPSz+fmZmEWAAAAwO6Y3RSxdm37uqoqYvy44voBADpOQ326XrIkYvHTxfQCAHQMw0EAAPAWnnwqjyefSmsTxhkMAoCuaOvhoBdejHjmmYKaAQAAAChhd05KN1w5a2jEwAHyEQAoB8ccHTFo/7TW2FRMLwBAxzAcBAAAb2HqtDT82n9gxCknF9QMAPCmjj4qYuDAtNY8r5heAAAAAErVsmV5zNvqmsq5Ew0GAUC5yLIs6uvSWmNTvv2DAYCSYDgIAADeRJ7nMWVaWhs3NqKqSgAGAF1RlmUx/Jy0NqdZmAUAAACwK6ZMi2hta1/36BExakRx/QAAHa+hPr3v4cGHIpYvl6kAQKkyHAQAAG/isccjnn02rY0bazAIALqy4cPSz+r77o9Ys0aYBQAAALCz7piUXksZOSKiVy/5CACUkzPP2DQA/Ia2tog5c4vrBwDYM4aDAADgTUyemoZfgw+MOPGEgpoBAHbKWUMjqqvb1xs3RtyzoLB2AAAAAErKM8/msWhRWjt3osEgACg33btncfbQtNbYZLM1AChVhoMAAGAH8jyPqVPT2vhxEVkmAAOArqx37yxOOTmtNc8VZgEAAADsjEmT0+so/frFNjcOAwDloaE+vf9h3vyIjRtlKgBQigwHAQDADjz4UMSLL6W18WMNBgFAKRg+LP3Mbm7eNPgLAAAAwI7leR53TEprE8ZH1NTIRwCgHNUNT9dr1kQsuK+YXgCAPWM4CAAAdmDqtPQG4kMPiTj66IKaAQB2yfBh6frFlyKefqaYXgAAAABKxYMPRSxZktbOm2gwCADK1YABWZxwQlprbLLZGgCUIsNBAACwHa2teUyZltbGj4vIMgEYAJSCo46M2H9gWmueW0wvAAAAAKXijknpzcCHHBJx/HEFNQMAdIqGuvQ+iMamTU8TBABKi+EgAADYjvsXRrz2WlobP85gEACUiizLtnl6UPNcQRYAAADAjrS05DF1alo7d0Jm4zQAKHMN9en6hRcjnlpcSCsAwB4wHAQAANsxZVp68/BRR0UcfpjwCwBKyfBh6Wf3ffdHrFljQAgAAABge5rnRaxYmdbOnVBMLwBA5zn6qIhBg9JaY1MxvQAAu89wEAAAbKWlJY/pM9La+LEGgwCg1Jw1NKK6un29cWPEPfcW1w8AAABAV3b7HemmKiefFDFkiHwEAMpdlmVRX5fWmubYbA0ASo3hIAAA2Mq9CyKWL09r48cW0QkAsCf22SeLU09Ja81zhVkAAAAAW1v5er7NEwLOnWgwCAAqRUN9+rn/wIMRy5bLVACglBgOAgCArUyeml7gOuF4O+MBQKkaPiz9DG+eG5HnwiwAAACALU2duumpy2+orY2YMK64fgCAznXm6RE9e7Sv8zyiubmwdgCA3WA4CAAAtrBxYx4zZqa1cWMNBgFAqRo+LF2/+FLE4qeL6QUAAACgq7r9znQzlYa6iL595SMAUCm6d8/irLPSWmOTzdYAoJQYDgIAgC3MnRexalVaGze2mF4AgD135BERg/ZPa81zi+kFAAAAoCt65tk8HngwrZ1/nsEgAKg0DfXp5//c+REbNhgQAoBSYTgIAAC2cOfk9MLWqadEHDBIAAYApSrLshi21dODmucKsgAAAADecMdWTw3q12/bpzEDAOWvfnhEtsXtEWvXRiy4r7h+AIBdYzgIAAD+1+rVecxuTGvnTjAYBAClbviw9PP8vvsj1qwxIAQAAADQ1pbH7XemtYnjI2pq5CMAUGn22y+LE45Pa41N8hQAKBWGgwAA4H/NnB2xYUP7uro6YuyYoroBADrKWWdu+lx/Q0tLxN33FNcPAAAAQFex4L6Il15Ka+efZzAIACpVQ316HtDYFJHnBoQAoBQYDgIAgP81aXJ6QWvYORH77isAA4BSt88+WZx2alprnivIAgAAALj9jvQayZFHRBx7TEHNAACFa6hP1y++FPHkU8X0AgDsGsNBAAAQEa+9lsddd6e1cycYDAKAcjF8WPq53jzPTncAAABAZVu7No9pM9La+edlkWXyEQCoVEcdGXHgAWmtsamYXgCAXWM4CAAAImLKtIi2tvZ1zx4RIxqK6wcA6FjDz0nXL70U8dTiQloBAAAA6BJmzopYu7Z9XVUVce6E4voBAIqXZVnU16W1xiabrQFAKTAcBAAAETFpSnoxa9TIiB497IwHAOXiiCMiBg1Ka81zi+kFAAAAoCu47Y40GzlraMTAgbIRAKh0DfXp+cBDiyKWLTMgBABdneEgAAAq3rPP5bFoUVqbOEH4BQDlJMuyGD4src2dJ8gCAAAAKtNLL+dx9z1p7YLzZSMAQMQZp0f07Nm+zvOIpubC2gEAdpLhIAAAKt6kyem6X79Nu+MBAOVl+DnpDS733R+xZo0BIQAAAKDy3Dlp042+b9hnn4hRI4rrBwDoOrp1y+Kcs9Na0xx5CgB0dYaDAACoaHmex6Qp6UWs8WMjamrsjgcA5easoRE1Ne3rlpaIu+4urh8AAACAIuR5HrffkWYjY0dHdO8uGwEANqmvS88L5s2P2LDBgBAAdGWGgwAAqGiPPBLx7LNpbeIE4RcAlKNevbI47dS01jxPkAUAAABUlkUPRzz9TFq74HzZCADQrn54RLbF6cHatRH3LiisHQBgJxgOAgCgot05Ob0h+KCDIk46saBmAIC9btg56Y0uzXM37ZYLAAAAUCn+fGt6LWTw4IhTTi6oGQCgS+rfP4sTT0hrjU3yFADoygwHAQBQsVpb85gyNa1NHB+RZXbHA4ByNXxYun755YinFhfSCgAAAECnW7cuj8lT0tpFF2RRVSUbAQBSDfXp+UHjHBuuAUBXZjgIAICKdc+9Ea8tTWvnThB+AUA5O+LwiAMOSGvNcwtpBQAAAKDTTZsRsWZN+zrLIi44v7h+AICuq6E+Xb/0UsQTTxbTCwDw1gwHAQBQsSZNTne0OfbYiMMOMxwEAOUsy7IYfk5aa55rlzsAAACgMtxya3od5OyzIg4YJBsBALZ15BERB2614VpjUzG9AABvzXAQAAAVae3aPKbPTGueGgQAlWH4sPQz//6FEatXGxACAAAAyttzz+Wx4L60dvFFshEAYPuyLNvm6UGNTfIUAOiqDAcBAFCRZs6KWLOmfV1VFTFhXHH9AACdZ+iZEbW17euWloi77imuHwAAAIDOcMvt6c28+/aNGFG/g4MBACKioT4dJF70cMTSpQaEAKArMhwEAEBFuu2O9GLV2WdFDBxodzwAqAS9emVx2qlprblZkAUAAACUr9bWPG67Pa2dOzGiWzfZCACwY6efFtGzZ/s6zyPmzC2uHwBgxwwHAQBQcV58KY+7t3o6wAXnCb8AoJIMH5Z+9jfPjchzA0IAAABAeZo3P+LVV9PaRRfKRgCAN9etWxbnnJ3WGpvkKQDQFRkOAgCg4txx56bdbN7Qe5+IkSOK6wcA6Hx1w9L1K69GPPFkMb0AAAAA7G233JrexHv8cRFHH2U4CAB4aw116TnD/PkR69cbEAKArsZwEAAAFSXP87jtjvQi1bhxEd27C8AAoJIcemjE4MFpbU5zMb0AAAAA7E3LlucxuymteWoQALCz6oZHZFucOqxdF3HvgsLaAQB2wHAQAAAV5YEHI557Lq1deL4ADAAqTZZl2zw9qHmuXe4AAACA8nPnpIiWlvZ1t24RE8YV1w8AUFr698/ipBPTWuMcmQoAdDWGgwAAqChbPzXo4INjm4tYAEBlGD4sHRB+4IGIla8LswAAAIDyked5/PmW9HrHmFERffrYOA0A2HkN9em5Q2PTpvMMAKDrMBwEAEDFWL8+jylT09qF52eRZQIwAKhEZ54R0a22fd3aFjH/ruL6AQAAAOhoix6OeGpxWrv4IrkIALBrGurS9csvRzzxZDG9AADbZzgIAICKMXN2xOrV7essizjv3OL6AQCK1aNHFmeckdbmzrXLHQAAAFA+/nxreq1j8OCI008rqBkAoGQdcUTEgQektcamYnoBALbPcBAAABXjttvTAGzomREHDLI7HgBUsrrh6blA89yItjYDQgAAAEDpW7Mmj8lT0tpFF2RRVSUbAQB2TZZl0VCf1hqb5CkA0JUYDgIAoCK88koed92d1i48X/gFAJVu+DnpeumyiEcfK6YXAAAAgI40dVrEmjXt66qqiAvOL64fAKC0NdSn91gsejhi6VIDQgDQVRgOAgCgItwxKaKtrX3dq1fEqJHF9QMAdA0HH5zFwQentea5xfQCAAAA0JH++Of0Zt3h50QcMMjGaQDA7jn9tIiePdvXeR7R1FxcPwBAynAQAABlL8/zuO32NAAbNyaiRw8BGAAQUTcsXTfPtcsdAAAAUNoeeyyPRYvS2qWXyEUAgN3XrVsWw85Oa41NMhUA6CoMBwEAUPYeWhTx9DNp7YLzBWAAwCZ1w9Pzggcfili+XJgFAAAAlK4/3ZJe2xg4MGL4sB0cDACwkxrq00xl/l0R69fLVACgKzAcBABA2bv1tvRC1JCDIk49paBmAIAu57RTI3r0aF/necS8u4rrBwAAAGBPrF2bx52T0trFF0bU1Ng4DQDYM8OHR2RbnFKsWxdxz4LC2gEAtmA4CACAsrZmTR6TpqS188/LIssEYADAJt27Z3HmGWmtudkudwAAAEBpmjo9YvXq9nWWRVx8oVwEANhz/ftlcdKJaa1pjkwFALoCw0EAAJS1aTMi1qxpX1dVRVx4QXH9AABdU93w9AaZufMiWluFWQAAAEDp+dPN6TWNYedEHHig4SAAoGM01KfnFY1NEXkuUwGAohkOAgCgrN38520DsAMGCcAAgNTwc9L1ipURDz9STC8AAAAAu+vxJ/J48KG0dunFchEAoOM01KXrl1+OePyJYnoBANoZDgIAoGw9+VQeDzyY1i65SAAGAGxr8OAsDj88rTXPtcsdAAAAUFq23jRtwICI+rodHAwAsBuOOCJi8IFprbGpmF4AgHaGgwAAKFt/viUNwPbrLwADAHZs66cHzWkupg8AAACA3bFuXR533JnWLrogoqbGxmkAQMfJsiwa6tNa4xwbrgFA0QwHAQBQltavz+P2rQKwCwVgAMCbqBuenic8/EjE0qXCLAAAAKA0TJsesWp1+zrLIi6+SC4CAHS8hvr0HGPRoojXXpOpAECRDAcBAFCWZs6OWLkyrV0iAAMA3sSpp0T07JnW5s4vphcAAACAXfWnP6c35J59VsRBg2UjAEDHO/20bTOVOc3F9AIAbGI4CACAsvTnW9IAbOiZEUOGCMAAgB2rrc3i7LPSWnOzXe4AAACAru/JJ/NY+EBae9slchEAYO+orc1i2NlprbFJpgIARTIcBABA2Xn++TzuvietXeypQQDAThg+LD1nmDs/oqVFmAUAAAB0bVs/NWi//hEN9QU1AwBUhIb6NFOZf3fE+vUyFQAoiuEgAADKzs1bPTWob9+IUSMKagYAKCnDz0nXq1ZFPPhQMb0AAAAA7Iw1a/K47Y60duEFETU1Nk4DAPae4cMjsi1ON9ati7hnQWHtAEDFMxwEAEBZaWnJ47bb09r550Z07y4AAwDe2qBBWRx1VFprnmuXOwAAAKDrunNSxOrV7essi3jbJXIRAGDv6t8vi5NPSmuNTTIVACiK4SAAAMpK05yI15amtYsvEoABADuvbli6bp5bTB8AAAAAbyXP8/j9TelNuPV1EYMHy0YAgL2vvi4952ias+n8BADofIaDAAAoKzffkl5kOvmkiCOPEIABADuvbnh67vDY4xGvvCLIAgAAALqe++6PePKptPb2y+QiAEDnaKhP1y+/HPH448X0AgCVznAQAABl46WX85g7L61dcrEADADYNSedGNF7n7S29TkGAAAAQFew9VODDh4ScfZZBTUDAFScIw6PGDw4rTXOKaQVAKh4hoMAACgbf/xTHm1t7etevSLGjSmsHQCgRNXUZHH22WltzlxPDgIAAAC6lldfy2PGzLR2+WVZVFXZOA0A6BxZlkVDXVprbJKpAEARDAcBAFAWNmzI4+Zb0tq5EyN69hSAAQC7rm5Yeg4x/66IlhZhFgAAANB1/OnmiNbW9nX37hEXnF9cPwBAZWqoTzOVRQ9vGmIGADqX4SAAAMrC9JkRy5altbdfZjAIANg9w85J12vWRNy/sJheAAAAALbW0pLHH29Ob7o9d0JE3z6yEQCgc51+WkSvXmmtubmYXgCgkhkOAgCgLPz+D2kAdsbpEUceIQADAHbPgAFZHHtsWmuea5c7AAAAoGuYOTvitdfSmk3TAIAi1NZmcc7Zaa2xSaYCAJ3NcBAAACXv0cfyeODBtCYAAwD2VN2wdD3HLncAAABAF7H1pmmnnBxxzDGyEQCgGA316XnI/Lsj1q83IAQAnclwEAAAJW/rAGzgwIiRIwpqBgAoG3XD0yDrqcURL74kyAIAAACK9eSTeSy4L61dbtM0AKBAdcMiqra4I3nduoh77i2uHwCoRIaDAAAoaStX5jFpSlq77NIsamqEYADAnjnh+Ii+fdNa89xiegEAAAB4w+//mG5e0r9/xJhRBTUDABAR/fplcdKJaW1Wow3XAKAzGQ4CAKCk3XJbxPr17euamohLLiquHwCgfFRXZ3HO2Wmtea4gCwAAACjO6tV53HFnWrvkoohu3WyaBgAUa0RDej7S2BjR1iZXAYDOYjgIAICS1daWx01b7Y43elTEgAECMACgY9QNS88r7ro7YsMGQRYAAABQjFtui1i7tn1dXRXxtkvlIgBA8UY2pOvXlkYseriYXgCgEhkOAgCgZM2dH/H8krT2jssFYABAxznnnIhsi9OLdesiFtxXXD8AAABA5WptzeM3v0s3LRkxIuKAQbIRAKB4hx6axaGHpLXZTTZcA4DOYjgIAICS9fs/pBeRjj4q4pSTC2oGAChL/ftlccLxaa2pWZAFAAAAdL7ZTREvvJDWrnynwSAAoOsYMSJdz55dTB8AUIkMBwEAUJKeX5JH89y09vbLs8gyIRgA0LHq69Lzi8amiDw3IAQAAAB0rt/8Nr0eceyxEaeeUlAzAADbMbIhzVSeWhzx/PMyFQDoDIaDAAAoSTf9MY8t78nt3Tti4vji+gEAyldDXbp+4YWIxU8X0wsAAABQmR55NI8F96W1d73TpmkAQNdy4gkR/funtVmNxfQCAJXGcBAAACVn7do8/nxrWrvogoiePQVgAEDHO/roiP0HprWmOcX0AgAAAFSmX2/11KABAyLGjS2oGQCAHaiuzrbZdG12oycHAUBnMBwEAEDJufW2iNdfT2uXvc1gEACwd2RZFvVbBVlNcwRZAAAAQOd49bU8pkxNa2+/LIvaWtkIAND1jBiRnqPcvzBi+XK5CgDsbYaDAAAoKa2tefxqq93x6usiDjlYAAYA7D0N9em5xsIHIlasEGQBAAAAe98fbsqjpaV93a1bxNsuKa4fAIA3c9aZEd27t6/b2iLmNBfXDwBUCsNBAACUlNmNEUuWpLWrrjQYBADsXUO3E2TNnVdcPwAAAEBlWL8+jz/+Ka2dd25Ev36yEQCga+rRI4tzzkprsxptuAYAe5vhIAAASsovf51eMDr22IgzTi+mFwCgcnTvnsXQM9Na4xxBFgAAALB33TEpYvmKtHblOw0GAQBd24gR6fnKvPmbhp4BgL3HcBAAACXjgQfzWPhAWrvqyiyyTAgGAOx9DfXpOcfcuREtLYIsAAAAYO/I8zx+/dv02sM5Z0cccbhcBADo2urrIqq2uEN53bqIu+4urh8AqASGgwAAKBm//FUagA3aP2LcmGJ6AQAqT/3wdL1qdcT9C4vpBQAAACh/8++KWLw4rXlqEABQCvr3y+Lkk9La7EYbrgHA3mQ4CACAkvD8kjxmzk5r73xHFjU1QjAAoHPsv38Wxx6T1prmCLIAAACAvWPrpwYdduimJwcBAJSCEQ3p/RyNTRFtbXIVANhbDAcBAFASfvPbPNra2te9ekVcenFx/QAAlamhPl03zSmmDwAAAKC8PfFkHs1z09oV78yiqsqmaQBAaRg5Il0vXRbx0KJiegGASmA4CACALm/l63nccmtau+TiiN69BWAAQOeqr0vPP555NuLZ5+xyBwAAAHSs//lFer2hb9+I888tqBkAgN1wyMFZHH5YWps1W6YCAHuL4SAAALq8P/4pYu269nV1VcQV7zAYBAB0vuOOjRiwX1rz9CAAAACgI734Yh6Tp6S1d1we0aOHbAQAKC0jGtL17MZi+gCASmA4CACALm3jxjx+94d055gxYyIOPEAABgB0vqqqLOqGp7WmOXa5AwAAADrOL3+TR2tb+7pHj4h3XC4XAQBKz4iG9Bzm6WcinnlGrgIAe4PhIAAAurTJUyNefTWtXX2lAAwAKE59XXousuC+iFWrBFkAAADAnlu+PI+b/5zWLr4ool8/2QgAUHpOPCFiwIC0NmNWMb0AQLkzHAQAQJfV1pbHz3+R3mh7+mkRxx8vAAMAinPW0Ija2vZ1a2vE3PnF9QMAAACUj9/9IY/169vX1VURV10hFwEASlNVVRYjG9LazNk2XAOAvcFwEAAAXdas2RGLF6e1qzw1CAAoWK9eWZxxelprmiPIAgAAAPbM2rV5/O4PaW3ChIgDD5SNAACla/So9Fxm0aKIl1+WqwBARzMcBABAl5Tnedz43+nFoKOOjKivK6ghAIAtNNSnQVZzc0RrqyALAAAA2H033xKxcmVae89VBoMAgNJ2xukRvXuntVmzC2kFAMqa4SAAALqk5rkRjz6W1t73niyqqoRgAEDx6oen6xUrIx58qJheAAAAgNLX0pLHL3+dbjxSXxdx5JFyEQCgtNXUZNFQn9ZmzLLhGgB0NMNBAAB0Odt7atDBB0eMHVNIOwAA2xg8OIsjj0hrTXMEWQAAAMDumTQl4uWX09p7rjYYBACUh1Ej0/Oa++6LWL5crgIAHclwEAAAXc69CyIeeDCtvf89WVRXC8EAgK5j613uGpuK6QMAAAAobW1tefzPL9KbY085OeK0U+UiAEB5GHZ2RPfu7evWtojGOcX1AwDlyHAQAABdztZPDTrwgIhzJxbUDADADtTXpTfoPLU4YskLdrkDAAAAdk1T86brClt6z7sNBgEA5aNHjyyGnZPWZs6SqQBARzIcBABAl/LAg3ncfU9ae8+7s6ipEYIBAF3LiSdE9Ns3rc2xyx0AAACwC/I8j//+WXpj7BGHR9QPL6YfAIC9ZfTI9L6P+fMj1qwxIAQAHcVwEAAAXcpPt3pq0IABEReeX1AzAABvoro6i+Fb3ajTOEeIBQAAAOy8u+6OePChtPbuq7OoqrJpGgBQXurqIqqr29cbNkY0zyuuHwAoN4aDAADoMh59LI+m5rT27quy6N5dAAYAdE31del5yr0L7HIHAAAA7Jw8z+NHP0mvIwweHDFxfEENAQDsRX37ZDH0zLQ2Y6ZMBQA6iuEgAAC6jK2fGtRv34hLLy6oGQCAnXDOWekudxs3Rsy/u7h+AAAAgNJx74KIhQ+ktfe/J4uaGpumAQDladTI9DxnTnPEhg0GhACgIxgOAgCgS3hqcR7TZ6a1K6/IomdPARgA0HX17p3F6aeltcYmIRYAAADw1n58Y3oN4YADIs4/r6BmAAA6wciGiGyL20DWrIm4+57i+gGAcmI4CACALuEnWwVgvfeJePtlxfQCALArGuq23eWutdWAEAAAALBjC+7L494Fae19786ittamaQBA+RowIIuTT0prM2bKVACgIxgOAgCgcE8+mcfU6Wntne/YtBM/AEBXV1+Xrpcti3hoUTG9AAAAAKXhJz9Nb4IdtH/EhRcU1AwAQCcaNTK9F2R2o03XAKAjGA4CAKBwP7oxj3yL6zy994m48gqDQQBAaTj44CyOODytzZotxAIAAAC2b+EDedx1d1p7z7uz6NZNNgIAlL9RI9P18hUR9y8sphcAKCeGgwAAKNTjT+QxfUZau+KdEX37CMAAgNIxYkS6njk7Is8NCAEAAADb+vGN6TWDAQMiLr6woGYAADrZkIOyOPqotDZzlkwFAPaU4SAAAAq1dQDWu3fEle80GAQAlJZRI9Lzl+eei3j6mYKaAQAAALqsBx/KY978tPaeq7Po3l02AgBUjtGj0nOfGTMj2toMCAHAnjAcBABAYR57LI8ZM9PaVVdm0cdTgwCAEnPcsREDB6a1WbOL6QUAAADoum78aXrT6379Iy69uKBmAAAKMnpkun75lYhFDxfTCwCUC8NBAAAU5kc/SQOwPn0irnhHQc0AAOyBqqosRjSktdmNdrgDAAAA2j38SB5NzWnt6quy6NHDpmkAQGU54oiIQw9Ja9NnyFUAYE8YDgIAoBCPPJrHrMa0dvW7sthnHwEYAFCaRjak5zEPPhTx6muCLAAAAGCTG36cXifot2/EZZcW1AwAQIGyLIsxo9Pa9BkReS5XAYDdZTgIAIBCbP3UoH37Rrzz7QU1AwDQAc44PaJXr7TW2FRIKwAAAEAXs/CBPOZs9dSgq96VRc+eNk0DACrT2NHpedALL0Y88khBzQBAGTAcBABAp1v0cL7NjbJXvSuLXr0EYABA6erWLYu6YWlt1mw73AEAAAARP/xReo1gv/4R77i8oGYAALqAo4+OOHhIWps2Q64CALvLcBAAAJ1u66cG9dtXAAYAlIcRI9Jh57vviVizRpAFAAAAlezue/K4+5609r73emoQAFDZsiyLMaPT2vQZEXkuVwGA3WE4CACATnXf/XnMaU5r777aU4MAgPJQNyyipqZ9vXFjxNx5xfUDAAAAFCvP8/jBDekNroP2j7j04oIaAgDoQsaMTu8VeX5JxOOPF9QMAJQ4w0EAAHSaPM/jv76fBmD9+0dc/raCGgIA6GC9e2dxxulpbdZsO9wBAABApWqeG/HAg2ntA+/Pont3m6YBABx3bMTgA9PatBlyFQDYHYaDAADoNLMbIxY+kNb+4n1Z9OwpAAMAysfIEem5TVNzREuLIAsAAAAqzfaeGnTQQREXXVBQQwAAXUyWZTFmdFqbNmPTeRQAsGsMBwEA0ClaWvL43g+2DcAuvaSghgAA9pIR9el61aqIBfcV0wsAAABQnJmzIh59LK395QeyqKmxaRoAwBvGjknPjZ59NuLJpwpqBgBKmOEgAAA6xe13RCx+Oq19+K+yqK0VgAEA5WXQoCyOOzatzW60wx0AAABUktbWPH74o/R6wGGHRpw7oaCGAAC6qBOOjxg0KK1NnyFXAYBdZTgIAIC9bt26PG74cXrh5thjI8aNLaghAIC9bOSIdAB6VmNEnguyAAAAoFJMmRbx1OK09sG/zKK62qZpAABbyrIsxo5Oa9NmFNMLAJQyw0EAAOx1v/19xCuvprWPfjiLqioBGABQnkaOSNcvvRTx2OPF9AIAAAB0rpaWPH601aZpRx0V29z0CgDAJmNGp/ePLF4c8dRim64BwK4wHAQAwF61cmUeP/t5esHm7LMizj7LYBAAUL6OPCLioIPS2qzZQiwAAACoBDffEvHc82ntQx+0aRoAwI6cdGLE/gPT2nRPDwKAXWI4CACAveq/f57HqtVp7SMfFn4BAOUty7IY2ZDWZswsphcAAACg86xZk8ePfpJuEHLCCREN9QU1BABQAqqqshi91VMWp8+w6RoA7ArDQQAA7DUvvpTH736f1saPizjuWMNBAED5GzUyPed58qmIZ54VZAEAAEA5+8Wv8li2LK197G+yyDLZCADAmxk7Oj1feuLJiGeekasAwM4yHAQAwF7zwx/lsWFj+7q6OuLDfyX8AgAqwyknRwzYL615ehAAAACUr9dey+OXv0pr9XURZ5wuGwEAeCsnn7RtrjJ1eiGtAEBJMhwEAMBe8cijedx+R1q77NKIIUMEYABAZaiqymLkyLQ2fYYd7gAAAKBc/fjGPNaua19XVUV85MNyEQCAnVFdncWoUWlt6jS5CgDsLMNBAAB0uDzP4z++m16g6dkz4gPvE4ABAJVlzKj0/OeRRyNeeEGQBQAAAOXmmWfyuPnPae3C8yOOPEI2AgCwsyaMS8+dnnwq4skn5SoAsDNqim4AAIDyM7sx4t4Fae39781iv/0EYJSe1atXx3333Rcvv/xyrFixIqqrq2PQoEFx/PHHx6GHHlp0eztt7dq1MX/+/FiyZEls3LgxBg0aFGeddVYMGDBgt9/ztttui+eeey4iIk466aSor6/vqHYBysbpp0Xs2zdixcr22oxZEVddWVxPAAAAQMf7rx/k0drWvu7ePeKv/lIuQuWSr+yYfAVgx045OWL/gRGvvNpemzItjyOPdF4FAG/FcBAAAB1q48Y8vvNf6a4tBxwQceU7C2oIdtO9994b//7v/x7z58+P1tbW7R5z1FFHxXve85644IILIss6/mJkc3NzXHvttdvUv/Od78TQoUN36j1aW1vjxhtvjJ/+9Kexbt265GdVVVVx/vnnx9/+7d/Gvvvuu0u9PfbYY/Ev//Iv0draGrW1tfHzn/98l16/u+6+++74+Mc/vnl94IEHxk033dRp73XZZZfFiy+++KbHdOvWLWpra2PfffeNAQMGxCGHHBJHHHFEnHrqqXHSSSdFTc3ufxX/6Ec/Gvfee+/m9Re/+MW4+OKLd/v9gL2vpiaLESPyuOXW9tqMmXlcdaUQCwAAAMrF/QvzmDkrrV15RcT++/v+T+VZuHBh3HDDDfKVHZCv7Jh8BYiIqKrKYty4PH716/ba5CkRf/3BfK98ZgBAOTEcBABAh7rpTxH/u9HVZn/zoSy6d3eRhtLQ0tIS//RP/xS/+MUv3vLYJ554Iv6//+//izvuuCP++Z//Ofr27dthfaxZsyauu+66PXqP1tbW+OIXvxjTpk3b7s/b2tri1ltvjYceeii+853v7NIud9dff/3mUO+qq64qqV3+9rYNGzbEhg0bYvXq1bFkyZJYuHDh5p/16dMnxowZE1dccUUce+yxBXYJdKYxo7K45db24emFD0S8+moeAwc6PwIAAIBSl+d5/Of30k3T9u0b8Z6rfO+nsrS0tMTXv/71+P3vf/+Wx8pX5CvbI18B3jBhXBa/+nX7+dXzSyIeeSTi+OMLbAoASkBV0Q0AAFA+Vr6ex49vTAOwE06ImDCuoIZgF7W2tsbnPve57Q4G7b///nHCCSfEYYcdts3OZHPnzo1rrrkm1q5d22G9fPe7333LHdTeys9//vNtgqvDDz88jj322OSfYfHixfEv//IvO/2+t99+eyxYsCAiNv17+eAHP7hHfVaS119/PW6++eZ4//vfH//n//yfePnll4tuCegEQ8+M2GeftDZj1vaPBQAAAErLzNmbNgLZ0l98IIvevQ0HUTlaW1vj7/7u77Y7GCRfaSdf2X3yFagsxx8XMeSgtDZ5ar79gwGAzTw5CACADnPjf+excmVa++THsqiqEoBRGr73ve9FU1NTUhsxYkR85CMfiaOPPnpzbdWqVfHnP/85vv/978eaNWsiIuLhhx+Or371q/F//+//3eM+7rvvvvjd734XERFVVVVRW1sb69ev36X3WLVqVfz4xz/evB4yZEhcd911ccwxx0RExNKlS+Of/umfYt68eRERMWfOnJg/f36cffbZb/q+a9asie985zub19dcc0307Nlzl3orJ5/85Cc3/zt9Q0tLS7z++uvx+uuvx4svvhgPPPBALFq0aJv/hlOnTo177rknvvSlL8XQoUM7s22gk3XrlkVDXR53Tm6vzZiZxzsud44EAAAApWzjxm2fGnTQQRGXXVpQQ1AQ+Yp8ZVfJV4A3k2VZjB+Xx09/1l6bOi3iYx/J3X8CAG/CcBAAAB3iuefy+N1Wm4GNGR1x6ikuzFAann322fj5z3+e1K688sr49Kc/vc2xvXv3jquuuipOP/30+MQnPhGrVq2KiIhbb701rrjiijjhhBN2u48NGzbEl7/85cjzTYHyO97xjpg1a9Yu73I3efLkzTvtVVdXJ8FVRMR+++0X//Zv/xbvete7Nu+udvPNN79leHXDDTfEK6+8EhERZ555ZkycOHGX+io3xx9//E4FT+vWrYvbb789fvnLX8bixYs315cvXx6f/vSn4xvf+EaceeaZe7FToGijR2dx5+T2m4UW3BexbHke/fs5VwIAAIBS9fubIp57Lq39zV9nUVvr+z6VQ74iX9kd8hXgrUwYl8VPf9aeq7z8yqanNZ52aoFNAUAXV1V0AwAAlIf/+n4eLS3t65qaiI9+WPhF6fj5z38era2tm9cnnXRSXHvttW/6muOPP36bY7773e/uUR833HBDPP300xERMWjQoPjIRz6yW++zYMGCzb8+++yzt9l9LSKiZ8+ecfnll29e33fffW/6nk8//XT86le/iohNgdhnPvOZ3eqtEvXo0SMuu+yy+NnPfhZXXXVV8rP169fHF77whXj11VcL6g7oDMPOjujRo33d1hYxe3Zx/QAAAAB7ZvnyPH58Y/rUoBNPiBg7ppB2oDBb5yvHH398/O3f/u2bvka+Il/ZWfIVqFxHHpnFEYentclT8+0eCwBsYjgIAIA9dt/9eUyfmdbe+faIIUMMB1E6Zs2alaw/9KEPRXV19Vu+7oILLogDDjhg83r+/PmxZMmS3erh0UcfjZ/9rP3Z6J/97Gdjn3322a33euaZZzb/+tRTd7x90umnn7751y+99FKsX79+h8d+4xvfiJb/nQJ85zvfGUcdddRu9VbJampq4tprr90mGF22bFl8+9vfLqgroDP06JHF8GFpbfpMIRYAAACUqh/9JI//fejJZtd8IouqKtkIlWXrfOV973uffGUr8pU9J1+ByjRhfHpeNW16REuLbAUAdsRwEAAAe6S1NY9vfju9+NK3b8T73yf8onQ8/fTT8dprr21eV1dXx5gxY3bqtdXV1VFfX5/Upk2btss9tLS0xJe+9KXNu+uNHTs2Ro0atcvv84ZVW6TS++233w6PGzBgQLJ+/fXXt3vcjBkzorm5efP7fehDH9rt3oi4+uqrY/To0Untzjvv3LyrIVCexoxKz4/uvifi9deFWAAAAFBqnlqcxx//lNYmjI84+STZCJVle/lKQ0PDTr1WvsLukK9AZRk/Nl0vXx5x74IiOgGA0mA4CACAPXLLbXk8+lha+8sPZNG3jwCM0vHiiy8m60MPPTR69uy5068/+uijk/Xs2bN3uYf/+Z//iUceeSQiInr37h2f+cxndvk9tlRV1f51L893fOP5G2HZG7a3m9/69evjm9/85ub1xz72sejdu/ce9UfENddcs81/pz/84Q8FdgTsbfV1Ed1q29ctLRGNc4rrBwAAANg9//HdPFrb2tfdukV85MNyESrP1vnKwQcfHD169Njp18tX2B3yFagcBx+cxfHHpbXJU226BgA7YjgIAIDdtnJlW3zvB+mFl8MPj7j8bcX0A7tr5cqVybpfv3679Pp99903WT/66KO79Ppnnnkmbrjhhs3rj33sYzFw4MBdeo+t9e3bd/Ovtw7ntvTSSy9t/nWWZdGnT59tjvnv//7vWLJkSUREnHLKKXHRRRftUW9sMmTIkBgxYkRSmzlzZkHdAJ2hV68szj47rc2YIcQCAACAUjJnbh5z56W1q98VceABhoOoPFvnK1tmEztDvsLukK9AZRk/Lj3HmjEjYsMG2QoAbI/hIAAAdtt/fX9tLF+e1v72E1nU1AjAKC1Zlv6Z3Xq3t7fS0tKSrFevXh0vv/zyTr02z/P48pe/HOvXr4+IiFNPPTUuv/zyXfr9t+eoo47a/Ou77rprh8fNnz9/868PP/zwqKmpSX6+ZMmS+O///u+I2LRb3mc+85lt/n2x+8aMGZOslyxZEi+88EIxzQCdYszo9O/QufMi1qwRYgEAAEApaGnJ4z++k36PHzAg4j1Xu2ZKZZKvbCJf6XzyFagc48em61WrI+bN3/6xAFDpDAcBALBbnnyqNX7+i3VJbWRDxNlnuahN6dl6J7vXXnttl16/bNmybWqLFy/eqdf+7ne/iwULFkRERG1tbXz+85/vkHDorLPO2vzrBx98MJqamrY55uWXX46bbrpp83ro0KHbHPPNb35zc7D2tre9LY4//vg97o12J5100ja1Xd0ZESgtDfUR1dXt6w0bI5rmFNcPAAAAsPP++KeIp59Jax/5UBa9eslGqExb5yvby0vejHyF3SVfgcoxaFAWp52a1iZPtekaAGxPzVsfAgAA2/rK11bHlpt51dZGfOJjwi9K05AhQ5L1888/H0uXLo2qqp3bT2HRokXb1JYuXfqWr3vppZfiu9/97ub1+973vjjiiCN26vd8K6NGjYr99ttvcx9f/OIX45prrolx48ZFt27d4p577omvf/3rsXr16ojYtLvf29/+9uQ95s6dGzNmzIiITQHfRz7ykQ7prSNt2LAh5s2bt1uvfeyxxzq4m1136KGHRq9evWLNmjWba88//3yBHQF7W98+WZw1NI+5W/zVNWVaHhPGO48CAACArmzlyjxu+El6I+pxx0acd25BDUEXsHW+8sILL8SyZcuif//+O/V6+Upx3shXsiyL3r17R0TEqlWrIs/f+oZ7+QrQ2caPy+K++9v/fprdGLF2bR49e8pWAGBLhoMAANhlTXPymDV7Y1J71xURQ4a48EJpGjJkSOy///7xyiuvbK7deuutcfHFF7/la9esWRONjY3b1NeuXfuWr/23f/u3zaHFYYcdFn/xF3+x802/hdra2vjUpz4V//iP/7i5z+uuuy6uu+667R5/xRVXxJFHHrl53dLSEl//+tc3rz/ykY/Evvvu22H9dZSlS5fGNddcU3Qbuy3Lsujbt28SXu3qk6uA0jNubBZz57WHWHPnRqxencc++ziXAgAAgK7qhh/nsXJlWrvmE1lUVfk+T+XaXr4yefLkuOKKK97ytfKVYslXgFIydnTEN78V0dq2ab1uXcTspoiJ44vtCwC6mp3bBhsAAP7Xxo15fOs/2pLagAER73+v8IvSNmrUqGT9/e9/P15//fW3fN2NN964eXe4LW0ZRmzPbbfdFk1NTRGxKcD4+7//++jWrdsudPzWJk6cGH/1V3/1lseNHj06PvnJTya1X/7yl/H0009HRMRxxx0Xl1122Tave+yxx+LGG2+Mf/3Xf40vfelL8YMf/CAWLlzYIb1Xkj59+iTrt/qzA5S+kSMiarbYsmfDxohZ294HAQAAAHQRjz2Wxx/+mNbGjok47VTZCGydr/z0pz+Vr8hXOoV8BSpH//5ZDB2a1u6c9NZPOgOASuPJQQAA7JLf/C7i2efS2kc+nEWvXgIwSttVV10Vf/jDH6KtbdPw20svvRT/8A//EF/96lejZ8+e233NbbfdFj/72c+2+7P169fv8PdaunRp/Pu///vm9cUXXxxnnnnm7jf/Jj70oQ/FySefHD/4wQ9i0aJFkeftF0kPPvjgePe73x2XXXZZVFW17x3x6quvxo9+9KOI2BSsffazn01+vmzZsrjuuutixowZ2/x+N9xwQ5xxxhnxj//4j3HQQQftlX+mcrP1n6+WlpaCOgE6S98+WZxzVh5Nze21qdPyOP9c51MAAADQ1bS15fH1b+bRtsW+ad26RXzsb3yPh4ht85VXXnklPv/5z8tX5Ct7nXwFKsu5E7OYN7/97+J58yKWLcujf3/nZADwBsNBAADstNdey+MnP013XznxxIjzJhbUEHSgQw45JN73vvfFjTfeuLl21113xdVXXx3vf//7Y/jw4bH//vvH2rVr45FHHombbroppkyZEhGbAp599tknVq1atfm1vXr12uHvdf3118eKFSsiImK//fbbZle5jlZXVxd1dXWxdOnSeOGFF6K1tTX233//GDx48HaP//a3v715d7ULLrggTjnllM0/W7FiRXzsYx+Lp556aoe/37333ht/8zd/E9/73vf2eoB14IEHxk033bRbr7377rvj4x//eMc2tBu23smutra2oE6AzjRuXBZNzVuEWPMjVr6eR98+QiwAAADoSu64M2LhA2nt/e/NYvBg3+EhQr6ypVLMV7Isi379+kVExPLly5MhqB2RrwBFGDUiokePiHXrNq1b2yKmTIt459uL7QsAuhLDQQAA7LT/+n4eWz+N/dpPVsUWG15BSfvwhz8cTz75ZMyaNWtz7cUXX4yvfOUrb/q6D33oQzFz5sx4+OGHN9d69+693WNnzpy5OfSKiPjUpz4Vffv23cPOd85+++0X++2335ses2DBgrjjjjsiYtM/w9bhzte+9rXNwVWvXr3ik5/8ZIwbNy5qa2ujsbExvv71r8eyZcvilVdeiX/+53+O7373u5FlQvI3s2XoGbHtTndAeRrZENGtNmLDxk3rlpaIWbMjLrqg2L4AAACAdq+/nsd3/iu9UX7IQRFXv6ughqCL+vCHPxxPPPFEzJ49e3NNviJf2dvkK1BZevXKYuSIPCZNbq/dMSmPd77d35UA8Aa3cQIAsFMWPpDHbXektbdd2j1OOtGFFspHdXV1/Nu//Vv8xV/8RVRXV7/l8TU1NfHRj340PvjBD8batWuTn/Xp02eb41etWhVf/epXN6/r6upi4sSu8+it1tbW+PrXv755/dd//dcxYMCAzesnnngiJk2atHn9z//8z3H55ZfHvvvuG7169YqJEyfG9ddfv/nf3b333htz587tvH+AEpTn+eZdDt+w//77F9QN0Jn22SeLYcPS2pSpb70rJwAAANB5bvhxHsuXp7Vrr8mie3fZCGzpjXzlqquukq+EfKUzyFegMp07MT0HW7Qo4plnZSsA8AbDQQAAvKXW1jy+8c30gkrv3ll86m97FdQR7D3V1dXx+c9/Pm6++ea49NJLtxsk9OzZMy688ML40Y9+FB/4wAciIrYJIA4++OBtXveLX/wiXnnllc3v8Xd/93d74Z9g9/3hD3+IRx99NCIijjrqqHjnO9+Z/Py2227b/OvTTjstGhoatnmPE088McaOHbt5fcstt+ylbsvD4sWLtwk+hwwZUlA3QGcbPzYNse6+O2L5ciEWAAAAdAWPPZbH729KayMbIuqGGwyC7amuro5rr702fv7zn8cll1wiX9mCfKXjyVegMp09NKJfv7Q2abJcBQDeUFN0AwAAdH03/zni0cfS2sc/2jP2H1i1zY55UC6OOuqo+MIXvhB5nsfLL78cS5cujXXr1sXAgQPjgAMOiNra2s3HLlu2LJZv8T9Dz5494/DDD9/mPVetWrX512vXro3LL798t3r7+Mc/nqzf9a53xac+9andeq83rFixIr7//e9vXn/605+Ompr0K+P999+/+dfbC67eMHLkyJg8edPz3BcuXLhHfZW7hx56aJvacccdV0AnQBHq6yK6d49Yv37TurUtYsasiLddUmxfAAAAUOna2vL4+jfzaGtrr3XrFnHNJwwGwVs5/PDD4wtf+EJEhHzlf8lXOp58BSpTTU0WE8bn8dvftdfumBTxwb/II8ucpwGA4SAAAN7UihV5fP+GdKeVI46IuPpdPQrqCDrfoEGDYtCgQTv8+RNPPJGsjznmmKiurt7bbXWo//zP/4yVK1dGRMSECRNi6NCh2xzz7LPPbv71YYcdtsP32jK4e/HFF2PDhg3RrVu3jmu2jEydOjVZH3zwwW/6Zw0oL716ZVFfl8e06e21qdPyeNslAiwAAAAo0h13Rix8IK29/71ZDB7sOzvsCvnKJvKVjidfgcp13sQsfvu79ntYliyJePChiJNPKrApAOgiqopuAACAru37P8zjf69nb/apa6qitlYABm9obGxM1nV1dQV1snsefvjh+NOf/hQRm3blu+aaa7Z73JY78+2zzz47fL+tf/b66693QJfl5/nnn485c+YktdGjRxfUDVCUcWPSc6p7F0QsXZpv/2AAAABgr3v99Ty++730u/mQgyKufldBDUEZk6+k5Cs7R74Cle344yIOOSSt3TlJrgIAEZ4cBADAm3jk0Tz+9Oe0Nm5sxNAzDQbBG1pbW5Pdyaqrq+Piiy/e7rHveMc7oqGhYZd/j3/6p3+KpUuXbl5/8pOfjGOOOWbz+sADD9zl93xDnudx/fXXR1tbW0RE/OVf/uUOd1arqmrfX2L9+vU7fM+tf+YR7tv3rW99a/O/94hN/34vu+yy4hoCClE3PKJnj4i16zat29oips2IeMflxfYFAAAAleq/vp/HsmVp7dprsuje3XVO6EjylW3JV3aOfAUqW5Zlcd7EiB/+qH0gaMrUiGs+kUdNjb83AahshoMAANiutrY8vvHNPPItNljp0SPi4x91MQW2dNNNN8VLL720eV1XVxf777//do899NBD49BDD93l36Nbt27J+vjjj4+hQ4fu8vtszy233BILFy7c3N/VV1+9w2P79OmzOZhasmTJDo/b+md9+vTpgE7Lyy9+8YuYMWNGUrvgggvikK23uQLKXo8eWTQ05DF5Sntt6rQ83nG5cy4AAADobPcvzOOPN6e1EQ0RdcN9T4eOJl/ZlnzlrclXgIiIiRMifvij9vWKlRFz50U01BfXEwB0BVVvfQgAAJXojjsjHngwrX3gfVkcMEgABm947rnn4vvf//7mdU1NTXz84x8vsKNds3r16vjud7+7ef2pT30qamtrd3j84YcfvvnXd9111w6Pmz9//uZfH3LIIW/6npWmpaUlvvnNb8Y3v/nNpD5gwICS+rMDdKzxY9Pzq/sXRrzySr6DowEAAIC9YePGPL5yffp9vGePTU8NAjqWfGX75Cs7Jl8BtjTkoCxOOTmt3TlJrgIAhoMAANjGqlV5fPd76YWTg4dEvOuKghqCTvLiiy/GunXrdurYp556Kj7xiU/EihUrNtfe8573xBFHHLG32utwP/jBD2Lp0qURETFq1Kioq6t70+PPPPPMzb+ePXt2PPXUU9sc89prr8Utt9yyeX3GGWd0ULelbf369XHTTTfFe9/73vjFL36R/KxHjx7x5S9/Ofbbb7+CugOKNuyciH32aV/necS0GTs+HgAAAOh4v/hVxOLFae2v/yqLAw8wHARvRb4iX9lb5CvAjpw7MT1Hm9UYsXq1ASEAKltN0Q0AAND1/OgneSxbltb+9posunUTgFHeZs2aFT/84Q/jbW97W0ycODEOPfTQ6N69e3LM448/Hrfddlv8+te/jo0bN26un3LKKfHBD36ws1vebU899VT85je/iYiI7t27x7XXXvuWr7nooovihhtuiNbW1mhtbY3Pfe5zcd1118XRRx8dEREvvPBCfOELX4jVq1dvfs2ll166V/rvKh5++OFobW1Nai0tLbFq1ap4/fXX44UXXogHH3wwFi1atN1gdL/99osvf/nLcdppp3VWy0AX1K1bFiNH5HH7He21qdPyuPKdzr0AAACgMzz3XB4/uTG9mfTYYyPecXlBDUGJeSNfOf/882P06NFx4oknRo8ePZJj5CvylS3JV4A9NW5MxL9/K+KNv0o2bIiYMTPiwgsKbQsACmU4CACAxJNP5vG736e1EQ0RdcPcnEplWLFiRfz0pz+Nn/70p1FdXR2DBw+Ovn37xvr16+PVV19NdrJ7w4knnhhf+9rXthkk6squv/76zaHLe9/73jjooIPe8jUHHHBAXHnllZt3Znvuuefive99bxx++OFRW1sbTz75ZBLkjB8/Pk4++eQdvV1Z+Pa3v73br504cWJce+21MWDAgA7sCChV48dmcfsd7TchPfBgxJIX8jhosHMwAAAA2JvyPI+vfSOPDe2zClFVFfF3n8mipsb3cthZK1asiF/96lfxq1/9Sr6yFfnKtuQrwJ7ad98s6obnMbuxvXbHpDwuvMD5GwCVy3AQAACb5Xke3/hWHq1t7bVutRGf/LiLJ1Sm1tbWeO6553b48yzL4pJLLolPfepT0bNnz07sbM9MmTIl7rrrroiIGDx4cLz//e/f6dd+5CMficcee2zz6yMiFi9evM1xxx57bPz93//9Hvdabvr27Rtjx46NK6+8Mo466qii2wG6kLOGRvTtG7FyZXtt0uSID7yvuJ4AAACgEtw5KeKuu9PaO98ecfxxshHYXfKVbclX9ox8BdiecydmMbuxfeO1e+6NePHFPA480HkcAJXJcBAAAJtNnR5x74K09p53Rww5yIUTKsOZZ54ZF110UcybNy9eeeWVHR7XrVu3aGhoiPe+971x0kkndWKHe27dunXxrW99a/P62muv3aUd+bp37x7XX399/PCHP4xf/epXsWHDhuTn1dXVcfHFF8cnP/nJ6N27d4f1XUpqa2ujW7duse+++8aAAQPikEMOiSOPPDJOPfXUOPHEE6OmxldxYFu1tVmMHZ3HH29ur02anMf737vpZgkAAACg461Ykce3v5MntUGDIv76g76Lw64488wz48ILL4y5c+fGa6+9tsPj5CvylTcjXwF2VUNdRO/eEatWbVrnecRtd0T85QeK7QsAipLleZ6/9WF737Jly4puoUvLsiz69esXERHLly+PLvKfDTqEP9+UK3+2KTWrV+fxng/k8eqr7bUDD4j42Y1Z9OiRhmD+fFPO3vjz/eyzz8a9994bL774YqxevToiNu1Kdthhh8VJJ50UPXr0KLjT3fPYY4/F9OnTI2LTP8+73vWu3X6v1atXx7x582LJkiWR53kMGjQozj777Ojfv38HdUtH8nc35axc/nzfd38eH78m7f1HP8ji2GPckFTJyuXPN2ytkv9sd4XzZZkMdL5K/nsPuhL/L7K1f/1KW9xya1q77ktZjGjwXXxv8/9j+Xr++efjiSeeiJdeekm+sgNdKV/x/yJ0Hf5/3D1f+0Zb3PTH9vXgwRG/+nkWVVXO59g9/l+ErqMj/n/sCplMZzJODwBARET86CfpYFBExCc/vu1gEFSKQw45JPr06VN2F3qOOeaYOOaYYzrkvfbZZ58YO3Zsh7wXABGnnLxpOPvFl9prd07KDQcBAADAXnDvgnybwaDRo8JgEOyhIUOGxJAhQ4puo8PJVwC6posuyOKmP7Zn+i+8ELHgvogzzyiwKQAoSFXRDQAAULzHHs/jt79La8POiRg1sph+AAAqUVVVFhMnpLVJUyJaW8trUBUAAACKtmFDHl+9Pv2+3atXxLWfNBgEAFBKjj8u4ojD09ott8lVAKhMhoMAACpcW1se138jj9a29lq32ohPXZNFlgnBAAA608QJ6fnXa69F3LugmF4AAACgXP3sfyKeeTat/c1fZ7H//nIRAIBSkmVZXHRheg43fUbE6tUGhACoPIaDAAAq3C23RjzwYFp733uzOPhgARgAQGc78ogsjjk6rd05WYAFAAAAHeXpp/P475+n37VPOCHisrcV1BAAAHvkvIkR1dXt6/XrI6ZMK64fACiK4SAAgAq2fHke//n9NAA7eEjEu68qqCEAALZ5etCMmRHr1xsQAgAAgD3V1pbHV7+ex8aN7bXqqoi/+0wW1dU2TQMAKEX9+2dRPzyt3XqbXAWAymM4CACggv3n9/NYuTKtfeZTWXTvLgADACjKxPER2RanY6tXRzTNKa4fAAAAKBd/ujliwX1p7V1XRhxztFwEAKCUXXRhej73wIMRi582IARAZTEcBABQoe5fmMctt6a18WMjzj5LAAYAUKT998/ijNPT2p2TBFgAAACwJ156OY/vfi/9fj34wIi//IBcBACg1A0fFtG/f1q79XbZCgCVxXAQAEAFamnJ42tfTy+C9OoV8cmPC8AAALqCcyek52Vz5kasXCnEAgAAgN2R53lc//U81qxJ63/32Sx69pSNAACUupqaLM6bmNbuuGPT/TEAUCkMBwEAVKDf/C7iyafS2l9/MIuBAwVgAABdwehREd1q29ctLRHTZhTXDwAAAJSySVMimprT2kUXRpx9llwEAKBcXHhBem732tKIufMKagYACmA4CACgwrz0ch4/+nG6M8oxR0e8/bJi+gEAYFt9+mRRX5fWJk22ux0AAADsqmXL8/jmt9Lv1AP2i/j4Rw0GAQCUkyOPyOKEE9LarbfLVgCoHIaDAAAqzLf/I4+169LaZz6VRU2NEAwAoCuZODE9P1twX8SLLwqxAAAAYFd889t5rFiZ1j79qSz69pGLAACUm4vOT8/xGps2DYsDQCUwHAQAUEHmzM1j+sy0dsnFESefJAADAOhq6oZF9O6d1iZNKaYXAAAAKEWzm/KYvNV36TGjI0aPlIsAAJSj8eMiunVrX7e0RNw5qbh+AKAzGQ4CAKgQ69fn8Y1vpruh9Ns34qMfFoABAHRF3bplMXZ0Wrvjzjzy3A53AAAA8FZWrcrj+q+n36H79In41DVyEQCActWnTxajR6W1m2+RrQBQGQwHAQBUiJ/8dx5LlqS1j30ki759hWAAAF3Veeem52qLn45Y9HBBzQAAAEAJ+c/v5fHKq2ntmo9nMWCAXAQAoJxdfOFW2criiPsXFtMLAHQmw0EAABXgyafy+J9fpLVTT4k4/7xi+gEAYOecekrEQQeltVtvt7sdAAAAvJl77s3jjzentXPOlosAAFSCM06POHhIWvvTn2UrAJQ/w0EAAGWurS2Pr16fR2tre626OuKzn86iqsrueAAAXVlVVRYXnJees02eErF+vRALAAAAtmfdujy+8rX0e3PPHhGf+3QWWSYXAQAod1VVWVx6SXreN21axMqVshUAypvhIACAMnfzLRELH0hr77464sgjBGAAAKXg/HPT9apVEbObiukFAAAAurof/SSP555Pax/+UBaDB8tFAAAqxQXnR9TUtK83bIy4/Y7i+gGAzmA4CACgjL32Wh7/+b1055MhB0X8xfsEYAAApWLw4CzOPCOt3Xa73e0AAABgaw8tyuOXv05rJ58U8fbLCmkHAICC9O+XxeiRae1Pf84jz+UrAJQvw0EAAGXs29/NY9WqtPbZT2fRvbvhIACAUnLhBen527z5Ea++KsACAACAN6xfn8eX/jWPtrb2Wm1txN9/LovqarkIAECledul6Tng4qcj7l9YUDMA0AkMBwEAlKnmuXlMnpLWzp0QcfZZAjAAgFIzemREz57t67a2iNvvLK4fAAAA6Gp+cEMeTz+T1j7wviyOOFwuAgBQic44PeLgg9PaH/9k4zUAypfhIACAMrRuXR7X/3t6QaNPn4hPflwABgBQinr2zGLc2LR22+155LkQCwAAAO67P49f/SatHXdsxHvfXUw/AAAUL8uyuPTi9D6Z6TMiVqyQrQBQngwHAQCUoZ/8NI8XXkhrH/ubLPr3NxwEAFCqLjw/PZd7+pmIhxYV1AwAAAB0EWvW5PGl6/LYcv+MbrURX/h8FjU1chEAgEp24fkRtbXt6w0bI26/s7h+AGBvMhwEAFBmnngyj1/8Kq2ddmrERRcW0w8AAB3j1FMihhyU1m673e52AAAAVLb//H4eS5aktb/+qyyOPMJgEABApevXL4vRo9Lan27OI8/lKwCUH8NBAABlpK0tj69en0dra3utpibis5/OoqpKCAYAUMqyLIsLtnp60OQpEevXC7AAAACoTPPvyuMPN6W1U06OeNcVhbQDAEAXdOnFabby9DMR991fUDMAsBcZDgIAKCN/ujnigQfT2nuujjjicINBAADl4PzzIrItTu1WrY6Y3VhcPwAAAFCUVavy+NevpBtm9OgR8YV/yKK6Wi4CAMAmZ5weceghae2PN9t4DYDyYzgIAKBMvPpaHv/1/fTixcFDIt7/XgEYAEC5OPCALM48I63dersACwAAgMrzre/k8fLLae2jH87i4IPlIgAAtMuyLC69JD1HnD4jYvly+QoA5cVwEABAmfjWf+SxanVa++yns+jeXQgGAFBOLjw/Pb+bf1fEK68IsAAAAKgcjU153HpbWht6ZsTllxXSDgAAXdz550bU1ravN26MuPX24voBgL3BcBAAQBmY05zH1Glp7bxzI84aajAIAKDcjB4V0atX+7qtTYAFAABA5VixIo+vfC3dJKNXr4jP/10WVVVyEQAAttWvXxZjR6e1m/6UR1ubzdcAKB+GgwAAStzatXlc/430YkXfvhGf+JgADACgHPXokcX4sWntz7cKsAAAAKgM3/hWHq8tTWvXfDyLAw+UiwAAsGOXX5aeLy5ZEjF3XkHNAMBeYDgIAKDE/fjGPF58Ka197CNZ9O8nBAMAKFeXXJye673wQsTd9xTUDAAAAHSSadPzmDwlrdUNj7jowmL6AQCgdJx8UsTRR6W1399k4zUAyofhIACAEvbY43n86tdp7fTTIi66oJh+AADoHCccH3HUVgHWH28WYAEAAFC+li7N4/pvpN99+/SJ+PvPZpFlNkwDAODNZVkWb788PW9snhvx/BL5CgDlwXAQAECJamnJ49++mkdrW3utpibic58WggEAlLssy+LSrZ4eNGv2phulAAAAoNzkeR5f/Xoey1ek9U/9bRYDB8pEAADYORPHR/Tep32d5xE3/VG2AkB5MBwEAFCifv3biIcfSWvve0/EYYcJwQAAKsG5EyK6d29ft7ZG3HZHcf0AAADA3nLHpE2bYmxp9KhNN3cCAMDO6tkziwsvSGu33Baxfr0BIQBKn+EgAIAS9MyzefzwR+mFiUMPiXjvuw0GAQBUij59shg3Jq3d/Oc88lyABQAAQPl4+eU8/v2b6Xfdfv0iPvupLLJMLgIAwK65/LL0HHLlyojJUwtqBgA6kOEgAIAS09aWx3VfyWPDhvZalkV8/u+z6N5dCAYAUEkuuTg9/3vu+Yh7FxTTCwAAAHS0trY8/vUreaxandY/9+ks+veXiQAAsOsOOTiLc85Oa7//g83XACh9hoMAAErMH/4Ycf/CtPbOt0eccrIQDACg0pxycsThh6e1P94svAIAAKA8/Pq3EfPvSmvnTogYPUomAgDA7rv8ben55COPRjy0qKBmAKCDGA4CACghL7yQx399L73Zc/DgiA//tRAMAKASZVkWl16UngvOnBWxfLkBIQAAAErbY4/l8b0fpN9vBw6MuPYamQgAAHumvi7igAPS2u9vkq0AUNoMBwEAlIg8z+Mr1+exdl1a/4fPZdGzpyAMAKBSnXduRLfa9vXGjRG331lcPwAAALCn1q3L4//9Sx4bN7bXsiziH/9PFn37ykQAANgz1dVZXHZpel45dVrEMpuvAVDCDAcBAJSIW26LmH9XWrv0koihZwrBAAAq2b77ZjFmdFq7+c955LkACwAAgNL0H/+Zx+Kn09rVV8lEAADoOBdfFFG71eZrt9xaXD8AsKcMBwEAlIBXX83jP76T3ty5/8CIj/2NEAwAgIhLLk7PC59+JuL+hQU1AwAAAHtgdmMeN/0xrR17bMSHPigTAQCg4/Tvl8W4MWntpj/m0dJi8zUASpPhIACALi7P87juq3msWp3WP/eZLHr3FoQBABBx+mkRhxyS1v70Z+EVAAAApeXV1/K47ivp99kePSL+6YtZ1NbKRAAA6FiXX5aeY774UsTsxoKaAYA9ZDgIAKCL+/MtEc1z09p5EyPq64RgAABskmVZXHJRen44bVrEypUGhAAAACgNbW15fPm6PJavSOvXfCKLQw+ViQAA0PFOOjHiuGPT2q9+I1sBoDQZDgIA6MJeeCGPb30nvegwYL+Iv/2kEAwAgNQF50fU1LSvN2yMuOW24voBAACAXfGb30XMm5/WRo2MuOSiYvoBAKD8ZVkW77oivQdn4QMRix42IARA6TEcBADQRbW15fGl6/JYuzat/8PfZdG3r+EgAABS/ftlMWZ0Wrvpj3m0tQmwAAAA6NoeezyP//p++v114MCIv/9sFlkmEwEAYO8ZO2bTueeWPD0IgFJkOAgAoIv67e8jFtyX1i65KKJuuBAMAIDte/tl6bni80u23XUZAAAAupL16/P4f/+Sx8aN7bUsi/ji57PYd1+ZCAAAe1dtbRbvuDw975w2PeLllw0IAVBaDAcBAHRBzzyz7Q55Bx4Q8YmPCcEAANixU06OOOqotPb7m4RXAAAAdF3/8Z95LF6c1q5+V8RZQ2UiAAB0jrddEtG9e/u6tTXid3+QrwBQWgwHAQB0MS0tefzzv+axYUNa/z//kMU++wjCAADYsSzLtnl60JzmiCUvCLAAAADoehqb8vjDTWnt2GMiPvRX8hAAADpP375ZXHB+WvvTnyPWrpWvAFA6DAcBAHQx//PLiEWL0to73xFx5hmCMAAA3tq5EyL22ad9necRN/1JeAUAAEDX8tprefzrv6XfV7t3j/j/fTGL2lqZCAAAnevKd6TnoK+/HnHbHQU1AwC7wXAQAEAX8tjjefzoJ2kQdsghER/5kBAMAICd07Pntrvb3XJLxPr1BoQAAADoGtra8vjSdXksX5HWr/lEFocdJhMBAKDzHXpoFvXD09qvf5tHW5t8BYDSYDgIAKCL2Lgxj3/51zxaWtprVVURX/iHLHr0EIQBALDz3v629PxxxcqIqdOL6QUAAAC29tvfRcybn9ZGNkRcenEx/QAAQETElVek+cpzz0XMaS6oGQDYRYaDAAC6iB/dmMcTT6S191wdcfJJBoMAANg1hx6axVlD09rvb7KzHQAAAMV79LE8/vP76XfUAQMi/v5zWWSZTAQAgOIMPTPiqKPS2q9/K18BoDQYDgIA6AIefCiPn/9PWjvqyIi//IAQDACA3XP5Zem55KJFEQ8/LMACAACgOGvW5PF//18eGzem9S9+Pot+/WQiAAAUK8uyuPKd6Xnp3fdEPPa4fAWArs9wEABAwdauzeNf/jWPtrb2Wk3NpiCsWzdBGAAAu6ehLmLQoLT2+z8KrwAAAChGnufxta/n8dxzaf3qd0WcfZY8BACArmHCuIj+/dPar38jXwGg6zMcBABQsG9/N49nn01rf/mBLI45RhAGAMDuq6nJ4m2XpOeUk6dErFghwAIAAKDz3Xp7xJ2T09oJJ0R8+K/lIQAAdB3du2dx+dvSc9RJUyJeeUW+AkDXZjgIAKBAM2fl8aeb09oJJ0S85+pi+gEAoLxcctGmp1K+YcOGTTdjAQAAQGd6anEeX//39GbK3vtE/L//m0VtreEgAAD+/+zdZ3RUVRuG4WenJ9QQeu/S64dSFUGliF3sioiodFGQKr1LB7F3UEHFAmLviAUFlCYgvXcCIT2zvx8jCScJkD6T5L7WYoXznjIbTeDseebdx7vccrMUEJC0HR8vvbeU5iAAgHejOQgAAMBDjh2zmvqM842D4CBp1AgjPz+CMAAAAGResWJGba9y1pZ+ZJWQQIAFAAAAAMgZ0dFWo8daxcQ460MGG5UtQx4CAAAA7xNa1KhTB2ft40+ks2fJVwAA3ovmIAAAAA9wuawmTrEKP+2sD+hvVKE8QRgAAACyzq03O+8vDx6Ufl7locEAAAAAAPKdOfOtdux01m6+Sbq6LXkIAAAAvNdddxqZ825Zz56VPlnuufEAAHApNAcBAAB4wHsfSKv/cNbaXild38kz4wEAAEDeVb+edFlNZ23J+6xsBwAAAADIfl9/Y7Us2Qcoq1WT+vWmMQgAAADerUJ5ozatnbX33reKjydjAQB4J5qDAAAActi2f62ef9H5RkGJ4tJTg4yMIQwDAABA1jLG6I7bnfeZ6/6StmwlvAIAAAAAZJ99+6ymzXDOPYODpHGjjAIDyUMAAADg/e65y3nfeuSo9M23HhoMAACXQHMQAABADoqJsRo7wSouLqlmjDRyuFHhwgRhAAAAyB7trpbCwpy19z6gOQgAAAAAkD1iY61Gj7OKjHTWnxhoVKkSeQgAAAByh3p1jerXc9beXmxlLRkLAMD70BwEAACQg+Y/Z7Vrl7N2951S0yYEYQAAAMg+/v5Gt97svOf8+hvp+HHCKwAAAABA1nvuBastW521Th2kTh3IQwAAAJC7JH960Pbt0uo/PDQYAAAuguYgAACAHPLd91YffuSs1awhPfwQQRgAAACy3403SAEBSdvx8dJHn9AcBAAAAADIWj+ttHrvA2etYgVp4ADyEAAAAOQ+rVpKFSo4a2+/S74CAPA+NAcBAADkgP37raY843xjIDBQGjXSKCCAMAwAAADZL7SoUYdrnbUPP5ZiYgiwAAAAAABZY98+q4mTnfPMAH9p3BijkBDyEAAAAOQ+Pj5Gd93hvJf9409p6zbyFQCAd6E5CAAAIJvFxlqNGmt19qyz/sTjRpUrEYQBAAAg53S9zXn/eeqU9NU3nhkLAAAAACBviY62GjHaKiJZHtK/r1H1auQhAAAAyL06XieFhjpr7yymOQgA4F1oDgIAAMhmC16w2rLVWetwndS5o2fGAwAAgPyralWjZv9z1t5738paAiwAAAAAQMZZa/XMDKvt25319u2km270zJgAAACArBIYaHTbLc6G92+/lQ4dIl8BAHgPmoMAAACy0Q8/Wb3/gbNWqaL05ONGxrBKHgAAAHLeHbc770O375DWrPXQYAAAAAAAecKHH0tffOWsVaksDRlEHgIAAIC84ZabpKCgpO0El/TuEpqDAADeg+YgAACAbHLwoNXkqc43AQICpHFjjEJCCMIAAADgGVdcLlWo4KwteZ/wCgAAAACQMRs2Ws2d75xXhoRIE8eThwAAACDvKFLEqEtnZ+2T5dKJE2QsAADvQHMQAABANoiLsxo1zioiwll/vL9RtaoEYQAAAPAcHx+jrrc570lX/SLt3Ud4BQAAAABIn5MnrZ4ebRUf76yPGGZUsQJ5CAAAAPKWu+408vVN2o6NlRa/R74CAPAONAcBAABkg3nPWm3e7Kxd01664XrPjAcAAAA4X6cOUsGCSdvW8vQgAAAAAED6xMdbjR5ndfSYs37P3dJVbWgMAgAAQN5TupRRh+uctQ8/lk6fIWMBAHgezUEAAABZ7PMvrZZ+5KyVLy899aSRMYRhAAAA8LzgYKMbb3DWVnwmnTpFeAUAAAAASJuXXrFas9ZZa9JYeqQHWQgAAADyrvvuMfI579PXkZHSB0s9Nx4AAM6hOQgAACALbdtmNW268wOVAQHS+NFGISGEYQAAAPAet99i5OubtB0T417dDgAAAACAS/nhJ6tF7zhrJYpLY0cZ+fmRhwAAACDvqljB6Oq2ztp7H1hFRrIAGwDAs2gOAgAAyCKnT1sNH2UVG+usD37SqEYNgjAAAAB4l5Ilja69xln74EOrmBjCKwAAAADAhe3ZazVxsnPu6OcnjR9rFBpKHgIAAIC874H7nPe9p09LH33iocEAAPAfmoMAAACygMtlNW6i1cGDzvotN0udOhCEAQAAwDvddYfzXvXUKemzLzwzFgAAAACA94uMtBrxtFVkpLPer49RvbrkIQAAAMgfqlU1at3KWVu8hAXYAACeRXMQAABAFnjtDatff3PW6tWV+vchCAMAAID3ql7N6PJmztq7S6wSEgivAAAAAABOLpfV+IlWO3c56x2ulW692RMjAgAAADwn+dODjp+Qlq/w0GAAABDNQQAAAJm26her195w1kJDpfFjjPz9aQ4CAACAd7v7Tuc967590s+rPDQYAAAAAIDXevlVq59+dtaqVZUGP2lkDHkIAAAA8pc6tY3+19RZe/tdq/h4FmADAHgGzUEAAACZsHu31bgJzkm9r480brRRiRIEYQAAAPB+/2sq1ajurL2zmOAKAAAAAJDk62+s3lzorBUqJE0cZxQURB4CAACA/Cn504MOH5a++MpDgwEA5Hs0BwEAAGRQeLjVU8OsIs466717GTVuRBAGAACA3MEYk+LpQes3SOs30CAEAAAAAJD++cdq0tSUC6VNGGtUvjx5CAAAAPKvxo2k+vWctbcWWSUkkLEAAHIezUEAAAAZEB9vNXK01f4Dznr7q6U7bvfMmAAAAICMane1VLKks8bTgwAAAAAAx45bDRtpFRvrrPfvZ9S0CY1BAAAAyN+MMXrgfud98b590jffeWhAAIB8jeYgAACAdLLWauYcq7XrnPXLakrDhhgZQxgGAACA3MXPz+iO2533sT+tlPbspUEIAAAAAPKrmBh3Y9DRY876TTdIt97skSEBAAAAXqf55VLNms7aG2/y9CAAQM6jOQgAACCd3l8qfbLMWQsLk6ZMNAoKojEIAAAAudONXaSCBZK2rZUWLyG4AgAAAID8yFqradOtNm921hs3kgYOYKE0AAAA4BxjjLo/4Lw/3r1H+vZ7z4wHAJB/0RwEAACQDr/+ZjXvWecHJAMCpKkTjUqUIAgDAABA7hUSYnTjjc7aZ59LJ0/SIAQAAAAA+c3b70pffOWslSkjjR9j5OdHHgIAAACcr3UrqUZ1Z42nBwEAchrNQQAAAGm0a7fV6HFWLpezPmKYUa1aBGEAAADI/breauTnl7QdGycteZ/gCgAAAADyk5WrrJ5/0TkXDA6Wpk4yKlqUPAQAAABIzhij7t2c98q7dkvffe+Z8QAA8ieagwAAANIgPNxqyDCrs2ed9YceNGp/NUEYAAAA8oYSJYyuu9ZZW/qRdOYMDUIAAAAAkB/s2Gk1dryVPW8aaIw0+mmjqlXIQwAAAIALadM65dODXn+LpwcBAHIOzUEAAACXEBdnNWKU1f4Dznr7q6Xu3TwzJgAAACC73He3kTnv815nz7obhAAAAAAAedvx41ZPDbWKinLWH3nYqHVLGoMAAACAizHG6MHkTw/aJX3/g2fGAwDIf2gOAgAAuAhrrWbOsVr3l7Ne6zJp+FAjYwjDAAAAkLdUrGjU9ipn7b33raKiWNkOAAAAAPKqyEirwcOsDh121q+7RrrvHs+MCQAAAMht2rSSqldz1l5708rlImMBAGQ/moMAAAAu4t0l0rLlzlrx4tKUiUaBgTQGAQAAIG964F7nve6p8JT3xQAAAACAvCE+3mr0OKutW5312rWlIYNZKA0AAABIKx8fo+6pPD3oO54eBADIATQHAQAAXMCXX1s9+5xz5Y7AQHdjUPHiBGEAAADIu2rUMGrR3Fl7Z7FVbCwr2wEAAABAXmKt1cw5Vr/86qyXLStNm8RCaQAAAEB6tWktVUv29KDX3+DpQQCA7EdzEAAAQCr++NNq0pSUk/IRw4xqXUYQBgAAgLzvgfuc971Hj0mff+mhwQAAAAAAssXCt6VPljlrhQtL06cahYaShwAAAADp5eNj1P0B5730zl3S9z96ZjwAgPyD5iAAAIBktm2zGv60VXy8s97rUaN2bQnCAAAAkD/Ur2fUqKGztuhtq/h4VrYDAAAAgLzgy6+sXnjJOccL8JemTDSqWIE8BAAAAMioK9tI1ao6a6++bpWQQMYCAMg+NAcBAACc5+BBq0FDrCIjnfXbb5PuucszYwIAAAA8pdv9zg+D7T8gffu9Z8YCAAAAAMg6a9ZaTZrq/GCiMdKokUYN6tMYBAAAAGSGj49R927O++pdu6RvvvPMeAAA+QPNQQAAAP8JD7d68imr4yec9bZXSf16GxlDGAYAAID85X9NpVqXOWsLF1m5XKxsBwAAAAC51Y4dVsNHWsXHO+t9exu1vYosBAAAAMgKV7aRqlVz1l59zSo+nowFAJA9aA4CAACQFBVlNWS41Z69znqjhtLTw418fQnDAAAAkP8YY3T/fc574R07pZ9XeWhAAAAAAIBMOXbMatBQq4izznrX26Q7u5KFAAAAAFnFx8eo50POe+x9+6XPv/DQgAAAeR7NQQAAIN+LjbUaMcpqw0ZnvWoVafIEo8BAwjAAAADkX21aSZUrO2tvLrSylpXtAAAAACA3iYy0GjzU6sgRZ/3KNu6nBgEAAADIWq1aSrVrO2uvvWkVG0vGAgDIejQHAQCAfC0hwWrcRKvfVzvrJUtI06caFSpEGAYAAID8zcfH6P57nPfFm/+Rfv3dQwMCAAAAAKRbfLzVyNFW2/511uvWkUaPNPL1JQ8BAAAAspoxRo/0cN5rHz4sLVvuoQEBAPI0moMAAEC+Za3VMzOsvv/BWS9cWJo+zahkSYIwAAAAQJLat5PKlnXWXnudpwcBAAAAQG5grdX0mSkXSitfTpoyySgwkDwEAAAAyC7/ayo1auisvbnQKjqajAUAkLVoDgIAAPmStVbzn7NavsJZDw52PzGoahWCMAAAAOAcPz+jbvc775E3bVaKD5YBAAAAALzPG28pRR5StIg7DwktSh4CAAAAZCdjjHome3rQ8RPS0o88Mx4AQN5FcxAAAMiX3nhLWrzEWQvwl6ZOMqpTmyAMAAAASK7DtVKZMs7aa2/w9CAAAAAA8GYffWz18qvOeVtgoPuJQeXLk4cAAAAAOaFhA6PLmzlri962OnuWjAUAkHVoDgIAAPnOB0tTBmG+PtK4MUZNGhOEAQAAAKnx8zPqdp/zfnnDRmn1Hx4aEAAAAADgor76xmrGbGceYow0eqRRvbrkIQAAAEBOSv70oPDT0nsfeGgwAIA8ieYgAACQr3z+pdWsuSlX3Rg+1Kh1K4IwAAAA4GI6dpDKlHbWeHoQAAAAAHifVb9YTZhklXy6NqCf0ZVtyEMAAACAnFa7llGb1s7aO4utTp8mYwEAZA2agwAAQL7x00qryVNSTqgHDjDqcB1BGAAAAHApfn5GDyR7etD6DdIff3poQAAAAACAFNausxo52iohwVnv3k26/VbyEAAAAMBTHn7IyJx3S372rLtBCACArEBzEAAAyBf++NNq1FirBJez3rOH0W23EIQBAAAAadWxg1S6lLP26us8PQgAAAAAvME/W6yGDLeKjXXWb79NeuhB8hAAAADAk6pVNWp3tbP23gfSyZNkLACAzKM5CAAA5Hlr1rqDsLg4Z/2uO6QH7vPMmAAAAIDcyt/f6P5Unh705xoPDQgAAAAAIEnatdvqycFWkZHOeqcOUv8+RsbQHAQAAAB4Wo8HjXzO+/R2dLT01iKagwAAmUdzEAAAyNPWrLUaPNQqJsZZ79JZ6tOLIAwAAADIiM4dpVLJnh702hs8PQgAAAAAPOXgQauBT1qFn3bW27SWhgw28vEhDwEAAAC8QcWKRh07OGsffSwdOULGAgDIHJqDAABAnnWhxqB2V0uDn6QxCAAAAMgof3+j++913k//9be0dp1nxgMAAAAA+dnx41YDB1kdPeasN20ijXnayM+PPAQAAADwJt0fMPLzS9qOjZPeXEhzEAAgc2gOAgAAedKFGoOubiuNGmHk60sQBgAAAGTG9Z2kkiWdtVdfJ7gCAAAAgJx0+ozVE4Ot9u131uvUliZPMAoMJA8BAAAAvE2ZMkZdrnfWln0q7T9AzgIAyDiagwAAQJ5zscag0SNZIQ8AAADICv7+Rg8ke3rQur/c9+MAAAAAgOwXGWn11FCr7Tuc9apVpOlTjUJCyEMAAAAAb/Xg/UYBAUnbCQnSy6+SsQAAMo7mIAAAkKfQGAQAAADknM6dpJIlnLXX3iC4AgAAAIDsFhtrNWKU1YaNznq5stLM6UaFC5OHAAAAAN6seHGjW2521r76WtqylZwFAJAxNAcBAIA8g8YgAAAAIGcFBBjdl+zpQWvXSWvXEVwBAAAAQHaJj7caO8Fq9R/OevHi0qwZRsXDyEMAAACA3OD+e4wKFHDWnnuBjAUAkDE0BwEAgDyBxiAAAADAM7p0lkoUd9Z4ehAAAAAAZI+EBKtJU6x++NFZL1JYmjXdqGwZ8hAAAAAgtyha1Oi+e5z38H/8Kf2+mpwFAJB+NAcBAIBcj8YgAAAAwHNSe3rQmrXSur8IrgAAAAAgK51rDPrya2c9OFiaPs2oSmXyEAAAACC36XpbykXYnnvByuUiZwEApA/NQQAAIFejMQgAAADwvC6dpeLJgquXX7WyluAKAAAAALJCQoLVpKlWX3zlrAf4S1MnGdWuRR4CAAAA5EZBQUY9ujvv57f9K3319QVOAADgAmgOAgAAuRaNQQAAAIB3CAw0uv8e5/33ur+k1X94aEAAAAAAkIckJFhNnmb1xZfOeoC/NGmCUZPG5CEAAABAbtaxg1SlsrP20itWMTEswgYASDuagwAAQK60+g8agwAAAABvckMXqVQpZ+3Fl3l6EAAAAABkRkKC1dRnrD7/wln3/68xqPkV5CEAAABAbufnZ/TYI857+0OHpQ8/9tCAAAC5Es1BAAAg11m5yuqpYTQGAQAAAN4kIMCo+wPOe/F/tkg/rvTQgAAAAAAgl3O5rKZOt1rxubNOYxAAAACQ97RsITVq6Ky9udDqzBkWYQMApA3NQQAAIFf59nurEU9bxcU561e3pTEIAAAA8LSOHaTy5Z21l1+xSkgguAIAAACA9HC5rKY8Y7XiM2fd31+aNN6oBY1BAAAAQJ5ijFGvR533+adPSwvfJmMBAKQNzUEAACDX+OJLqzHjrBISnPVr2tMYBAAAAHgDPz+jHt2d9+U7d0nffOuZ8QAAAABAbuRyWU2bnrIxyM9PmjjOqEVz8hAAAAAgL6pbx6jtVc7aex9Ih4/QIAQAuDSagwAAQK6wbLnVhMlWLpez3rmT9PRwGoMAAAAAb9H+aqlaVWftldes4uMJrgAAAADgUlwuq2dmWC1f4ayfawxq2YI8BAAAAMjLHu1p5OubtB0b685ZAAC4FJqDAACA13t/qdXU6VY22Tz3lpuloYONfH0JwgAAAABv4eNj1LOH8x59/wFpxeceGhAAAAAA5BIul9UzM62Wfeqs+/lJE8YZtWpJHgIAAADkdRXKG914g7P2+RfSjh00CAEALo7mIAAA4NUWvWM1e27Kye1dd0hPDDDy8SEIAwAAALxNq5ZS7drO2utvWMXEEFwBAAAAQGpcLqvps6yWLXfW/fykCWONWtMYBAAAAOQb3R8wCg5O2na5pOdfJGMBAFwczUEAAMArWWv16utWz72QcmLb7X6pTy8jYwjCAAAAAG9kjNEjyZ4edOSo9PEnHhoQAAAAAHgxl8tq5myrT5Y5676+0vgxRq1bkYcAAAAA+UmxYkZ33+mcB6z6VVq7jgYhAMCF0RwEAAC8jrXupqBXX085oX3kYaOePXxoDAIAAAC83P+aSo0bOWtvLrKKjCS4AgAAAIBzrLWaOcfqo2SLKZxrDGrTmjwEAAAAyI/uukMqFuqsLXjeyuUiZwEApI7mIAAA4FUSEqymTbd6+92U+/r3MXrgPkIwAAAAIDcwxuiRh53376dOSe8v9cx4AAAAAMDbWGs1Y7bVRx87676+0rgxRle2IRMBAAAA8quQEKPuDzrnBJv/kb762kMDAgB4PZqDAACA14iNtRo9zmrZpyn3DRpodEdXQjAAAAAgN6lfz6hFc2ft7XetzpxhVTsAAAAA+Zu1VrPmXKAxaLTRVTQGAQAAAPneDddLFSo4a8+/aBUVRc4CAEiJ5iAAAOAVoqKsho6w+v4HZ93XRxox1OjmmwjBAAAAgNyoZw/nvXxEhPTOYkIrAAAAAPmXtVaz51ot/chZ9/WRxo4yuupKMhEAAAAAkp+fUd9ezvnB0WPuhdgAAEiO5iAAAOBxp89YDRxk9ftqZ93fXxo/1qhTR0IwAAAAILeqWcPo6rbO2nvvSydPElwBAAAAyH+stZozz+qDD511Xx9pzCijtleRiQAAAABI0rKF1Ox/ztrb70qHj5CzAACcaA4CAAAedey4Vb8BVhs2OuvBwdL0qUZXtiEEAwAAAHK7h7sb+Zz3TmRUtLTwbUIrAAAAAPmLtVZz5lu9v9RZ9/WRRo8yurotmQgAAAAAJ2OM+vV25iwxMdILL5KzAACcaA4CAAAes/+AVe9+Vtt3OOtFCktzZxk1bUIIBgAAAOQFlSoZdbjWWVv6kXToEMEVAAAAgPzB5bKaOcfq/Q+cdV8fadTTRu1oDAIAAABwAVWrGt14g7P25dfSho3kLACAJDQHAQAAj9ixw90YdOCAs16iuDR/rlHtWoRgAAAAQF7S/UEjP7+k7bg46cWXCa0AAAAA5H0ul9WMWVYffuSs+/pIo0Yatb+aTAQAAADAxfXoblSwgLM2d76VtWQtAAA3moMAAECO27jJqs8Aq+PHnfXy5aQF84yqVCYEAwAAAPKasmWMbr7RWfvya+mffwitAAAAAORdLpfVtOlWHy9z1hMbg9qRiQAAAAC4tNCiRg92c84fNm2WvvrGQwMCAHgdmoMAAECOWv2H1eNPWJ0546xXqyY9O9eoTBlCMAAAACCvevABowLJVrV79nlWtQMAAACQNyUkWE2ZZrV8hbPu6yuNGUVjEAAAAID0ue0W9+LL53v+BavoaHIWAADNQQAAIAf98KPVU8OsoqKd9fr1pPmzjcLCCMEAAACAvKxoUaP773Xe969dJ636xTPjAQAAAIDskpBgNWmq1YrPnXVfX2ncGKOr25KJAAAAAEgff3+jvr2dc4kjR6V3FntoQAAAr0JzEAAAyBHLV1g9PcYqLs5Zv+JyaeYzRoUKEYIBAAAA+UHX26SSJZ21Bc9bxcezqh0AAACAvCE+3mrCZKsvvnTW/fykieOMrmpDJgIAAAAgY1q1lJo2cdYWvWN15Ag5CwDkdzQHAQCAbPfuEqsp06xcLme9/dXSlIlGwcGEYAAAAEB+ERho9OjDzjnA7j3S8hUeGhAAAAAAZKH4eKtxE62++tpZ9/eXJo03at2KTAQAAABAxhlj1K+Pkc95nwCPjpZeeJnmIADI72gOAgAA2cZaqxdfdmn+gpSTz5tukEaNNPL3JwQDAAAA8ptrr5Fq1nTWXnnNKjKS4AoAAABA7hUfbzVmvNW33znrAf7SpAlGLVuQiQAAAADIvOrVjG643ln74ktp02ZyFgDIz2gOAgAA2cLlspox2+rNhSn33XePNOgJI19fQjAAAAAgP/LxMerzmHM+cPKk9Pa7hFYAAAAAcqe4OKtRY62+/8FZDwiQpkwyanEFmQgAAACArPPwQ0YFCjhrc+dbWUvWAgD5Fc1BAAAgy8XHW42baPXRxyn39XrU6LFHfGQMIRgAAACQnzVtYtSyubP2zmLp6FFCKwAAAAC5S1yc1agxVj/+5KwHBkrTJhtd3oxMBAAAAEDWCg016na/c66xYaP01TceGhAAwONoDgIAAFkqOtpq2Eirr5NNNI2RnhpkdO/dBGAAAAAA3Ho9ZuRz3juUMTHSy6/RHAQAAAAg94iNtRo52uqnn531oCDpmSlG/2tKLgIAAAAge9x+q1SurLO24HmryEiyFgDIj2gOAgAAWeb0aauBg6x++dVZ9/OTxo42urELARgAAACAJFUqG3W53llb8Zn073ZCKwAAAADeLzbWauQoq59XOevBQdL0qUZNGpOLAAAAAMg+AQFGfXo55x3Hjkmvv0XOAgD5Ec1BAAAgSxw9atV3gNX6Dc56UJA0bbJRu7YEYAAAAABS6vGgUXBQ0ra17lXtAAAAAMCbxcRYDX/aalWyBdOCg6Xp04waNSQXAQAAAJD92rSWLm/mrC15T9q9m6wFAPIbmoMAAECm7dlr1auv1Y6dznqhQtLsGUaXNyMAAwAAAJC6sDCje+52zhl+Xy39vprQCgAAAIB3iomxGjbS6tffnPXgYGnGNKOGDchFAAAAAOQMY4we72fk55dUi4+XZs+zspasBQDyE5qDAABApvyzxap3P6tDh5314sWlZ+ca1atLAAYAAADg4u66QwoLc9aefd4qIYHQCgAAAIB3iY62GjLc6vfVznpIiDTzGaMG9clFAAAAAOSsihWN7uzqrK3+Q/pxpWfGAwDwDJqDAABAhq1Za9V/oNWpU856hQrS8/ONqlYhAAMAAABwacHBRj0fcs4ftm+XPv/SQwMCAAAAgFRERloNHmr1x5/OeoEC7sag+vXIRQAAAAB4Rrf7jYoXd9bmzbeKjmYhNgDIL2gOAgAAGfLDT1ZPPmUVGemsX1ZTWjDPqHRpAjAAAAAAadepo1S1irP24ktWkZGEVgAAAAA8LzLSatAQq7XrnPWCBaVZ043q1SUXAQAAAOA5ISFGfXs55yWHDkuL3iFnAYD8guYgAACQbstXWD092iouzllv2kSaN9sotCgBGAAAAID08fU16v2Ycy5x/IT01tuEVgAAAAA8KyLCauAgq7/XO+uFC0tzZhrVqU0uAgAAAMDz2reTGjV01ha9Le0/QNYCAPkBzUEAACBdFr1jNWWalcvlrLe9UnpmilFICAEYAAAAgIxpfoXRFZc7a4sXSwcPEloBAAAA8IzTZ9yNQRs3OetFi7gbgy6rSS4CAAAAwDsYY/TEACPf8z4dHhsnzXuWnAUA8gOagwAAQJpYa7XgeZeeeyHlZPHGG6Sxo40CAgjAAAAAAGROvz4pQ6sFqcxDAAAAACC7hYdbPf6E1eZ/nPXQUGnuLKMa1clFAAAAAHiXqlWNbrvVWVv5s7RyFVkLAOR1NAcBAIBLio+3mvKM1dvvptx3/73S4CeMfH0JwAAAAABkXuVKRrfc4qx997207i9CKwAAAAA55+Qpq/5PWG3d5qyHFZPmzTaqWpVcBAAAAIB3euhBo9BQZ232HKuoKLIWAMjLaA4CAAAXFRNj9fQYq09XpNzXp5fRoz19ZAwBGAAAAICs81A3o8KFnbW5860SEgitAAAAAGS/Eyes+j9utX27s16iuDRvjlHlSuQiAAAAALxXwYJGfXo55y2HDkuvv0nOAgB5Gc1BAADggs6etRo0xOqnlc66r480YqjR3XcSfgEAAADIeoULG/V40Dnf2LpN+uwLDw0IAAAAQL5x7LhVv8etdu5y1kuWlObPMapYgWwEAAAAgPfrcK3UuJGz9u4SacdOGoQAIK+iOQgAAKTq5EmrfgOt1q5z1gP8pYnjjTp1JPwCAAAAkH1uulGqXMlZe/Elq8hIQisAAAAA2ePIEau+A6x273HWy5R2NwaVK0c2AgAAACB3MMboyYFGfn5JtYQEafpMK5eLrAUA8iKagwAAQAqHDln16me1dauzXqCANOMZo9atCL8AAAAAZC8/P6N+fZxzjxMnpTcXElgBAAAAyHqHDlv1fdxq3z5nvWxZad4co7JlyEYAAAAA5C6VKxndc5ez9vd66bMvPDMeAED2ojkIAAA47Nxl1atvyvArNFSaN9uocSPCLwAAAAA544rLjVo2d9YWvyft30+DEAAAAICsc+CgVb8BVgcOOOvly0vzZxuVLkU2AgAAACB36na/UZkyztqC56zCw8laACCvoTkIAAAk2rjJqk9/q6PHnPUypaUF84xq1iD8AgAAAJCz+vY28vVN2o6Lk+bMJ7ACAAAAkDX27bPqO8Dq4CFnvVJFd2NQyZJkIwAAAAByr8BAoycGOOc14ael514gawGAvIbmIAAAIEn6fbXV409YnT7trFetIj0336hCecIvAAAAADmvYkWj22911lb9Iq1cRWgFAAAAIHP27LXq+7jVkSPOepXK0rzZRsWLk40AAAAAyP1aNDdqe5WztnyF9NffZC0AkJfQHAQAAPTNd1ZPDbOKinbW69WV5s8h/AIAAADgWd27GYUVc9bmzLWKiSG0AgAAAJAxu3ZZ9RtgdeyYs16tmjR3tlGxYmQjAAAAAPKOAX2NgoOdtWdmWsXGkrUAQF5BcxAAAPnchx9bjRlnFR/vrF9xuTRrulHhwoRfAAAAADyrYEGjPr2cc5ODh6S3FhFYAQAAAEi/bdvi1WeAS8dPOOs1a0hzZxqFFiUbAQAAAJC3lChh1PMh51xn1y6yFgDIS2gOAgAgn7LW6vU3rWbMsrLJ5njt20lTJhoFBxN+AQAAAPAO114jNWrorC16R9q3j9AKAAAAQNr9syVeDz58WqdOOeu1a0mzZxoVKUI2AgAAACBvuvUW96II53trkbR9B1kLAOQFNAcBAJAPuVxWc+dbvfxqyondrTdLo0ca+fsTfgEAAADwHsYYPTHAyPe8dzTj4qTZ86xs8hUPAAAAACAVW7ZaPdTztE6dcs4h6taRZk03KlyIbAQAAABA3uXnZzT0KWfWEh8vTZlmlZBA1gIAuR3NQQAA5DPx8VYTJ1u990HKfd27SQMHGPn4EH4BAAAA8D5Vqxrdfruz9utv0k8rPTMeAAAAALnHps1WAwa6FB7u/MBb/XrSzGeMChYkGwEAAACQ99WsYXTP3c7a5n+kJe97ZjwAgKxDcxAAAPlIdLTV8JFWX3yVct/A/kY9uvvIGMIvAAAAAN7roW5GYWHO2pz5VtHRrGgHAAAAIHUbNloNHGR1JsJZb9RQmjHNqEABshEAAAAA+ceDDxhVrOCsvfyq1b59ZC0AkJvRHAQAQD5x5ow7+Fr1q7Pu6yuNGml0260EXwAAAAC8X4ECRn17O+cvhw9LbywksAIAAACQ0l9/u/ORs2ed9f81lZ6ZYhQSQj4CAAAAIH8JDDQa+pTR+WtIx8RIU6dbWUveAgC5Fc1BAADkA8eOW/V93Gr9Bmc9MFCaMsnoumsIvgAAAADkHte0kxo3ctbeeVfatZvACgAAAECSNWutnnzKKirKWW/V0l/TJvsoOJh8BAAAAED+1KC+0a03O2tr10nLPvXEaAAAWYHmIAAA8rj9B6x697Pavt1ZL1hQmj3DqMUVBF8AAAAAchdjjAYOMPL1TarFx0vTplu5XDQIAQAAAJBW/2E1eKhVdLSzflUbf82bXUiBgeQjAAAAAPK3R3salSrlrD37nNXRo2QtAJAb0RwEAEAe9u92q959rQ4ccNbDwqRn5xrVr0fwBQAAACB3qlrF6K47nLW/10vLV3hmPAAAAAC8x6+/WQ0ZZhUT46y3aS3NnkljEAAAAABIUkiI0VNPOudHZ89KU6dbWUuDEADkNjQHAQCQR/31t1Xf/lbHTzjr5cpKC+YZVatK8AUAAAAgd+vezahMGWdtwXNWx48TWAEAAAD51cpVVsNGWsXGOettr5TGj/FRQAD5CAAAAACcc8XlRp06OGu//iYt/9Qz4wEAZBzNQQAA5EGrfrF6YrBVxFlnvXo1d2NQubIEXwAAAAByv6Ago8FPOOc3EWelufNpDgIAAADyo2++tRrxtFVcssag9ldLY0YZ+fuTjwAAAABAcv36GIUVc9bmPmt14CB5CwDkJjQHAQCQx3zxpdWwEVYxMc56wwbSvNlGYWEEXwAAAADyjsubGV13jbP2zXfSL78SWAEAAAD5yfJPrcaMt0pIcNavu0Z6eoSRnx/5CAAAAACkpnBhoyGDnXOmqChp0hQrl4u8BQByC5qDAADIQ977wGr8JKsEl7PeqqU08xmjQoUIvgAAAADkPf36GBUu7KzNmGUVFUVgBQAAAOQHS963mvKMlU02BejcSRoxjMYgAAAAALiUli2MunR21tb9Jb3/gWfGAwBIP5qDAADIA6y1euFll+bMS/nBt44dpInjjAIDCb4AAAAA5E2hoUZ9ejnnPIcOS6+8RnMQAAAAkNe9udBq7vyU9/633yoNHWzk60s+AgAAAABp0a+PUelSztrzL1nt3k3eAgC5Ac1BAADkcvHxVtOmW721MOW+O26Xhg9hRTwAAAAAeV/njlLjRs7akvelLVsJrAAAAIC8yFqr51906cWXU97z33+vNKCfkY8P+QgAAAAApFWBAkbDhzrnUbGx0oTJVvHx5C0A4O1oDgIAIBeLibF6eozVsk9T7uvZw6hfH4IvAAAAAPmDMUaDnzQK8E+quVzSlGkEVgAAAEBe43JZzZpjtfDtlPse7Wn0aE8fGUM+AgAAAADp1aSxUdfbnLXN/yjV+RcAwLvQHAQAQC4VEWH15FNWP6101n18pKcGGXW73xB8AQAAAMhXKlYweuB+5zxo278EVgAAAEBeEh9vNWWa1dKPUu57vL/R/feSjQAAAABAZjz2iFHFCs7aa29Y/bOFxdgAwJvRHAQAQC507LhV3wFW6/5y1gP8pfFjjW7sQvAFAAAAIH+6926pahVn7fU3rbbvILACAAAAcru4OKsx461WfO6s+/hIw4YY3X4r+QgAAAAAZFZgoNGIYUY+533KPCFBGjPeKjKSvAUAvBXNQQAA5DL79ln16mv173ZnvUABacYzRle1IfgCAAAAkH/5+xsNH2Lke947n/Hx0qQpVvHxBFYAAABAbhUTYzX8aavvf3DWfX2lMaOMru9EPgIAAAAAWaVuHaP77nHW9u2TZs8jawEAb0VzEAAAuciWrVa9+lkdPOisFwuV5s82atyI4AsAAAAAatUyuvsuZ23LVumdxZ4ZDwAAAIDMiYy0GjzU6pdfnfUAf2nyBKN2bclHAAAAACCrPfSgUe3aztqKz6RvvqVBCAC8Ec1BAADkEn+user3uNXJk856ubLSc/ONatQg+AIAAACAc7p3M6pcyVl79XWrnbsIrAAAAIDcJDzc6vEnrdasddaDg6Tp04xatiAfAQAAAIDs4OdnNGakUUiIs/7MDKuDB8lbAMDb0BwEAEAu8N33VoOGWEVGOus1qrsbg8qVI/gCAAAAgPMFBhoNG2Lkc947oHFx0qSpVvHxBFYAAABAbnDosFXvflabNjvrBQtKs2YYNWlMPgIAAAAA2alcOaMnH3fOvSLOSuMmkrcAgLehOQgAAC/30cdWo8ZaxcU5640bSfNmGxUrRvAFAAAAAKmpW8fozq7O2ubN0pL3PTMeAAAAAGm3Y6dV775Wu/c460WLSvNmGdWrSz4CAAAAADmhw3VGHa511tZvkN54i+YgAPAmNAcBAOClrLV69XWr6bOsbLJ51FVXStOnGhUsSPAFAAAAABfz8ENGFSo4ay+/YrVrN4EVAAAA4K3Wb7Dq09/qyFFnvWRJ6dk5RjVqkI8AAAAAQE564nGjsmWdtTfekv76m7wFALwFzUEAAHihhASrmXPczUHJ3XSDNG60UWAgwRcAAAAAXEpgoNHwIUbmvClUbJw0bqJVXByBFQAAAOBtVv1i9fiTVmfOOOuVK0vPzzeqVIl8BAAAAAByWoECRqNHGvn6JtVcLmnseKtTp8hbAMAb+Hl6AAAAeNK+ffu0adMmHTlyRHFxcSpUqJAqV66s+vXrKzAw0CNjOnkyQmPG7dLqPw5J9pik6P/2FFS7dmG69+7L5Otb9mKXSBeXy6UtW7Zo165dOnHihOLi4lSkSBFVqVJF9erVk58ftwsAAAAAvEN4eLj++usv7d+/X1FRUQoODla5cuXUsGFDFSlS5ILn1a9ndMftVovfS6pt3Sq9/KpVr0f5YCEAAABwPk9mJys+s5r6jFWCy1mvXeusej60W+vXH9axY8cUHe3OTgoWLKiwsDBddtllKlOmTJaM4cyZM9q+fbv27NmjM2fOKD4+XoUKFVJYWJjq1q2r4sWLZ8nrAAAAAIC3uVQOU7eO0cMPSS+8lNQMdOSoe0G26VMlH5+sz1zi4uK0a9cuHTx4UEePHlVkZKTi4+NVoEABFSlSRNWrV1flypXle37XEgDkU3zaFwCQL/3www969dVXtWXLllT3h4SEqHPnznr44YdVtGjRbB1LdHS0li9frnXr1mnDho06dOjgBY/9+kv3rzJlyqhLly66/fbbL/oBuIs5deqU3nrrLS1fvlzh4eGpHlOwYEF16dJF3bt3z/DrAAAAAEBmbdu2TS+++KJ+/vlnuVyuFPt9fX3VsmVLPfLII6pRo0aq13jkYaPfVlvt2pVUe/td6YrLrZo0zp4GoaefflpfffWVo1a6dGl99NFH6b5WbGysNm7cqA0bNmjTpk3atGmT9u7dK2uTAriRI0eqS5cumR02AAAA8ilPZifWWr36utVrb5zbjpZN+FTWtU4BAZu0ft1B9e9/8WtkNDtxuVxas2aNVq5cqdWrV2v79u0XPb5KlSq67bbb1KVLFwUFBaX5dQAAAADAW6Unh7nnrur640/pzzVJ+39fLb25UHrwgawZz7fffqvVq1fr77//1q5du5SQkHDR4wsWLKhrr71Wd955pypXrpw1gzjP8ePHdffdd+v06dOOeo8ePdSzZ88sfz0AyChjz0+PPejkyZOeHoJXM8YkvsF66tQpecn/NiBL8P2NnBQbG6uJEyfqiy++SNPxoaGhmjRpkho3bpzu10rr9/bevXvVtWvXdF//3PieeuopXX311ek6b9WqVRo1apQiIiLS/DoTJkxQ06ZNMzJM5EH83Y28jO9v5FV8byMv4/s7b1u8eLHmzp17yeBHcodTAwYM0B133JHq/m3brHr2soqPT6qVLCm9/opR4UJZ2yD0008/afDgwSnq6W0Omjt3rtavX69//vlHcXFxFz2W5iDkJvn57+7Q0FBPD4FMBvCA/Pz3HrxfTmYnqYmLs5o63erz817euvYpITb1+/q0jO9C2Unyn8VffvlFEyZM0LFjx9L9OhUqVNDYsWNVp06dDI0TyO/4txHwDvwsAt6Dn0d4SkZymPbtu+qhnlbHTyTtM0aa+YxRs/9lPm+54YYbdPTo0XSf5+fnp27duunhhx+WMRkbR2o/i0OHDtX333+f4liag4DslRX/NnpDJpOTfDw9AAAAcorL5dLIkSNThFu+vr4qW7asatasqYIFCzr2nTx5UgMHDtT69etzcqj/KSQfn8qqXLmuatSokepNysmTJzVixAgtX748zVf9/PPPNWjQoBSNQcHBwapWrZpq1qypwoULp3idJ554Qn/++WfG/igAAAAAkAFvv/22Zs2alSKQKl68uGrVqqXixYs76gkJCZo5c6YWL16c6vVq1DB65GFnGHTkiDRjls3SoDUiIkLTpk3Lkmt98sknWr9+/SUbgwAAAICM8HR2cuaM1aAhzsagiylUqJAqV66sunWzJjvZu3fvBRuDChcurCpVqqhOnToqXbp0quf26tVLa9euTdvgAQAAAMDLZDSH+frrJRo72sj3vE+hWyuNHW915Ej2NLYFBgaqYsWKqlOnjmrVqqXSpUunaACKj4/XK6+8okmTJmXZ63777bepNgYBgDfy8/QAAADIKQsXLtSPP/7oqN1yyy166KGHVKJECUnuEOzHH3/U7NmzdejQIUlSdHS0RowYobfffjtFAJYVtmz9b0Jkqsr4tJDxaSjjU0ehRYtp+lSjWrWSJjEHDhzQ8uXLtWjRIsXExCSOeerUqapXr94lH4u6detWTZ482fH411KlSqlv37666qqrFBAQkHjNtWvXau7cudqyZYskKSYmRiNHjtTChQsVFhaWhf8FAAAAACClv//+W88++6yj1qRJE/Xv31+1atVKrG3evFlz5851fCBv7ty5qlevnurWrZviunfdIf32u/TnmqTaN99KLZtLHa7LmrHPmzcvcUW74OBgRUVFZc2Fz+Pr6ytfX1/FxsZm+bUBAACQf3gyOzl02GrwEKudu5x1Hx+pWzfppRekatWqqXnz5mrUqJHq1KmTaj6R2ezkHGOMmjVrpmuvvVZNmjRRuXLlnOM9dEhLlizR4sWLEz84FxMTo0GDBundd99N/O8FAAAAALlBZnOYF1+sp0d61tFzLyQ1A50Kl0aPs5o3W/Lzy9wThEqUKKGWLVuqUaNGql+/vsqWLSsfH+czMU6fPq1vv/1Wr776qo4cOZJYX7ZsmRo2bKguXbpkagynT5/W9OnTE7ezK/MBgKzCk4MAAPlCeHi4Xn/9dUetd+/eGjJkiCOs8fHxUdu2bfXiiy+qTJkyifUjR47onXfeyfJxffOt1cTJYfINWCK/wIXy9e8jH9/WKlO6mBbMdzYGSVLZsmX1yCOP6KWXXnI83ScuLk4vvfTSJV9v1qxZicGYJFWsWFGvvvqqrr322sTGIMn936Fp06Z68cUXdfnllyfWT548qddeey0zf2QAAAAASJN58+Y5Vqpr3bq15syZ4wikJKl27dqaO3euWrVqlVhLSEjQ/PnzU72uj4/RiKFGhQo56zPnWB08mPnV7P7880998skn/72Wj3r06JHpaxpjVLlyZXXs2FEDBw7Uiy++qG+//TbV5icAAAAgrTyZnWzZavVor5SNQUFB0uQJRvfcVULvvfeeFi1apH79+qlNmzYXXLgss9mJv7+/unbtqg8++EBz587VDTfckKIxSJJKly6t/v37a/bs2Y5M5ezZs3ruuefS9gcHAAAAAC+RFTnM3XdKrVs5Dtf6DXI0DGXEzJkz9cknn2jYsGHq1KmTypcvn6IxSHI/8fXmm2/WwoULddlllzn2Pf/8844FtDNi9uzZOnHihCSpZs2auuqqqzJ1PQDIbjQHAQDyhbfeekuRkZGJ240bN9b9999/weNLliyp4cOHO2rvvPOOwsPDs2Q81lq9tchq9DiruPhgGZ/yifuqVZOef9aoYoULr55Qs2ZN9erVy1FbtWqVo/EnufXr1ztWcPDx8dG4ceMu+hSgwMBAjR07VkWKFEmsffTRRzpw4MBF/3wAAAAAkBmrVq3S+vXrE7eLFCmiESNGyN/fP9Xj/f39NWLECMfcZe3atfrtt99SPb5kSaPBTzrnXGfPSuMmWsXHZzywio6O1uTJk2Wt+xpdu3ZV7dq1M3w9SZo+fbp+//13ffHFFxo7dqzuvPNONWjQQIGBgZm6LgAAAOCp7OSXX6369rc6fsJZLxYqzZ9t1KqlUXBwsCpUqJCu62YkO6lfv76WLFmiJ598UmXLlk3T6zRr1kx9+vRx1L7++mvHf0sAAAAA8GZZlcOsXv27hg81Om8dCUnS4vek777PeN5So0YNGZP2Jw8VLlxYY8aMcZxz7Ngx/f333xkew8qVK/Xpp59Kknx9fTV8+PBUG5QAwJvwtxQAIM9zuVyJN+rnPPzww5ecQDRr1kyNGjVK3I6MjNTXX3+d6fHEx1tNfcbqhZdSToCaXyE9N8+oePFLT26uu+46x4QjKipKhw8fvuDxP/74o/O1mjdPsdJDakJDQ3XzzTefN/74FP89AQAAACArnXvyzjm33367QkNDL3pOsWLFdNttt130Oudr19aoUwdnbf0G6ZXXMx5Wvfjii9q3b58k96rijz76aIavdU7jxo0dq58DAAAAWcFT2clHH1sNGW4VFe2sV64kvbDAqFattH/4KzXpzU5q1arleBpSWt12220qWLBg4nZsbKzWrFmT7usAAAAAgCdkZQ5TuJDRhLFGAcn6iiZNsdq+I3NPEEqPKlWqpPgs3K5duzJ0rcjISI0aNSpxu2vXrmn6nB0AeBrNQQCAPO/vv//WyZMnE7fLlSunJk2apOncG264wbGdvMEmvSIirAYNsVq+IuW+m2+Spkw0CglJW/BVoEABFS1a1FE7derUBY8//6lBktSmTZs0vU5qx37//fdpPhcAAAAA0iM2NjbFE3+6dOmSpnOTH/fLL78oLi7ugsc/3j/lanZvLZR++z39YdWmTZu0ePHixO1BgwYpJCQk3dcBAAAAckJOZydxcVYzZrs0fZaVy+Xc17iRtGC+UZkymWsMktKfnWSUn5+f6tWr56gdOnQoy18HAAAAALJaduQwl9U0GtDfOaeLipaGjrAKD8+5BqFy5co5tjM6H5w5c6b2798vKesWgwOAnEBzEAAgz1u1apVj+/LLL0/zY0cvv/xyx/aaNWsUFRWVoXEcOmTVq6/VH38668ZIfXsbPfm4kZ9f+oKv2NhYx3ahQoUueGzylfFq1KiR5tepXr26Y3v79u06cOBAms8HAAAAgLRKPu+qVKlSmlfyLlu2rCpUqJC4HRkZedHVuwsUMBo7ysjPz1kfP9HqyJG0h1Xx8fGaOHGiEhISJEnt27dX69at03w+AAAAkNNyMjs5edLq8SetPvwo5b4O10ozphkVLpT5xqBz0pOdZEby6549ezZbXgcAAAAAslJ25TA3dpE6d3Ief/CgNGqsVXx8zjQIJZ8Pnv/E17T6+++/tWjRosTtp556SsHBwZkeGwDkBJqDAAB53tatWx3b9evXT/O5JUqUcEx+4uLitHPnznSPYfM/Vo/2ttq5y1kPDJQmjDO66w6T5tDtnN27dysiIiJxOyQkxDH5Si48PNyxXbhw4TS/VlBQkAIDAx21LVu2pPl8AAAAAEirzMzhJKlBgwaO7W3btl30+Dq1jXo/6pyPnQqXxoxPe1j1xhtvaPv27ZLcHxB84okn0jFiAAAAIOflVHayabNVj0es/vo75b5u90sjhxsFBGRdY1B6s5PMOHr0qGO7SJEi2fI6AAAAAJCVsiuHMcZo0ECjunWcx/+5Rnr2uexvDrLWavPmzY5arVq10nWN2NhYTZw4Ua7/Hnl7zTXXqGXLllk2RgDIbjQHAQDyvF27djm2q1Spkq7zkx+f/HqX8ulnMerdz6XjJ5z10FBp3myjq9pkLPR67bXXHNsdOnSQX/Llrs+TvPno3IrWaZX8+PT+dwAAAACAtPDEHK7r7VKbZA/6+Xu99Mprlw6rdu7cqddffz1xu0+fPgoLC0vLUAEAAACPye77bmutPl5m1ae/1RFnD40CAqSnhxv17OGT7oXTLiW92UlGRUVFpVhELbuakAAAAAAgK2XnfDAgwGjieKPixZ3nvPeB9Oln2dsgtGzZMsciDpUqVVLdunXTdY1XX3018c9TpEgRFoMDkOvQHAQAyNOio6N1+PBhR61kyZLpukapUqUc27t3707TeS6X1Zx5kXpqaISSPbFUlStLLy4wqlM7/aFXTEyMZs2apc8//zyxFhoaqp49e170vORPCjp58mSaX/P06dOKj4931GgOAgAAAJAd9uzZ49jOiTmcMUbDhhiVKe2sv7VI+vW3C4dVLpdLEydOVFxcnCSpUaNGuummm9I1XgAAACCnZXd2EhNjNeUZq2dmWP13q3ze60gL5hl1uC5rm4Iymp1k1DfffKOoqKjE7QIFCqhhw4bZ8loAAAAAkJWyO4cpHmY0abxRgL/zvOkzrTZszJ4GoU8//VTPPPNM4raPj48GDRqUrgUptm3bpoULFyZuDx48mMXgAOQ6Wb9EDgAAXiQ8PFzWJk0q/Pz8VKxYsXRdo0SJEo7ttDTVREZajZtotfLnqBT7mjaRJow1KlTowpOPDRs2KDIyMnE7NjZWJ0+e1ObNm/Xdd985xhAWFqaZM2de8s9Vrlw5x+oImzdvVpMmTS75Zzl3bHInTpxI5UgAAAAAyJzkc670hlIZmcNJUuFCRmNHS737WZ2/NsL4iVavvSyVLJlyDrdkyRJt2LBBkuTv76+hQ4dm+crnAAAAQFbLzuzk0CGrkaOt/tmS8pzGjaRxo41CQzN2z5wd2UlGREdH65VXXnHUsusJRQAAAACQ1XIih6lT22jwIGni5KS5Z1ycNGKU1UvPpZ65XMyePXt06NChxO34+HidOXNGO3bs0I8//qidO3cm7juX1zRr1izN109ISNDEiRMTF89u1qyZbr/9doWHh6drnADgabw7BQDI084PiSQpKCgo3R/UCgoKcmyfvxJcavYfsBo63GrnrpT7brlZGtDXyM/v4mOYOnWqtm3bdtFjAgMD1blzZz3yyCMKDQ296LGS1LBhQ61bty5x+6uvvtK99957yfPOHZvcpf47AAAAAEBGJJ/HBQcHp+v89M7hzlentlHvx6S585PCqvDT0tNjrObNlgICkuZyBw4c0AsvvJC4/cADD6hy5crpGisAAADgCdmVnfy+2mrseKvw0ymPv+sO6bFHLp2PXEx2ZCcZMXfuXB08eDBxOzg4WN27d8+W1wIAAACArJZTOUynDkbbtlkteT+pdvy4NHiY1YK5UoECaZ8ffvDBB1q8ePFFjzHGqHnz5urdu7dq1KiR5mtL0ttvv61//vlHkhQQEKBx48axGByAXMnH0wMAACA7JZ98BAQEpPsagYGBju3kE6Tzrf7D6pHHUjYG+fpKgwYaPfm4T6aCr3P8/f3VtWtX3XvvvWkOt6688krH9j///KNvv/32kudt375dX375ZYo6zUEAAAAAskNm53HJ53Dpnbt0vU26so2ztnGTNHO2dayuPnny5MRrV6pUSQ8++GC6XgcAAADwlOzITjb/E6knBqdsDAoOksaOMurbO2vykYvJSHaSXl9++aWWLl3qqPXq1SvFytkAAAAA4K1yMofp/ZhR0ybO2vbt0sjRVvHxNvWTMqhdu3Z68MEH090YtGfPHr388suJ2926dVPVqlWzdGwAkFNoDgIA5GmxsbGObX9//3RfI/kEKCYmJsUxLpfVG2/ZVIOvokWNZs/w0c03ZV3oFRcXp4ULF+rOO+/UxIkTdfbs2UueU7duXTVq1MhRmzRpktavX3/Bcw4dOqQhQ4ak+O8opf7fAQAAAAAyK7PzuLTM4S7GGKNhTxmVKeOsL18hLf3I/ftPPvlEq1evTjp+2LAMzTcBAAAAT8iO7GT//pT33eXLSy88Z9S+Xc6stpyR7CQ9Nm7cqIkTJzpqLVu2VNeuXbP0dQAAAAAgO+VkDuPnZzR+jFGFCs766j+kaTOci7Jl1jfffKNHH31Ujz32mPbu3Zumc6y1mjx5cuKfoUqVKurWrVuWjQkAcpqfpwcAAEB2Sj4ZiYuLS/c1kk+Ikq9+cPqM1YSJVqt+TXlujeq+mjenkAoVPJOuycxbb73l2D579qyOHz+uTZs26YsvvtAvv/wiSUpISNCyZcu0efNmPfvssypSpMhFr/vkk0/q4YcfTpzQREREqFevXrr11lvVsWNHVapUSb6+vjp48KC+//57LVq0SBEREZKkQoUK6cyZM4nXSu8jZQEAAAAgLQICAhQdHZ24nd55XPI5XEZWQS9UyGjyBOmxPlbnDUVz51uFFTumefPmJdZuvPHGFAsxAAAAAN4sO7ITyXnNNq2kEcOMChbMusag7MpO0mLv3r0aNGiQ40NvlSpV0ujRo2VMzjQ/AQAAAEBWyOkcpnBho+lTpUd7W506lVRf8ZlUupT00IOXfs2BAwdq4MCBidvR0dE6ffq0tm3bpu+//15ffvll4nxt3bp1euihhzR37lzVrl37otddunSp1q5dK8m9GNzQoUNZDA5ArsaTgwAAeVryBpbUnoBzKclXNzj/mlu2WvV4JPXGoDatpUVvFlGF8r7pfs3kChQooIoVK6pjx46aNWuW5syZo8KFCyfu//fffzVu3LhLXqdGjRoaPny4fH2TxhQfH68lS5booYceUvv27dW2bVvdfffdeuGFFxIbg6pXr67777/fca2CBQtm+s8FAAAAAMlldh53sTlcelSvZjRiqPNDfgkJ0qhR0xMXTggLC1Pfvn0zdH0AAADAUzJ/z2315VfRyarua/r5Sf36GE2akLWNQanJquzkUo4ePaoBAwbo5MmTibVSpUpp7ty5WdJ4BAAAAAA5yRM5TLmyRtMmGyVbk1uvvm614rP0Pz0oKChIJUuWVKtWrTRixAgtXLhQNWvWTNx/5swZPfXUU46FsJM7cuSInn322cTtm2++WQ0bNkz3WADAm9AcBADI00JCQhzb0dHR6X4c6fkrJUjuCY21Vss/terVx+rgQefxPj7SY48YTRrvowIFsif4uuKKKzRjxgz5+CT9U/7zzz/rt99+u+S5HTp00MyZM1WsWLE0vVazZs00Z86cFPVChQqlfcAAAAAAkEbJ53FRUVHpOj/5HC759dLj6rZGD9yXtO1K+FaxMT8kbg8cOJC5EQAAAHKdzGQnm/+xeqin1foNyZqDTIjKlZWen290Z1fjkafpZCY7uZDw8HANGDBABw4cSKyFhoZq7ty5KlWqVKbGCwAAAACe4Kkcpk5to7GjjHySfXJ96nSr1X+kv0HofBUqVEgxTzt69KgWLlx4wXOmTp2qyMhISVLx4sXVp0+fTI0BALwBzUEAgDytSJEijgAqPj5eJ06cSNc1jh496tguUCBUo8dZTXnGKjbZU1VDQ6XZM4zuu8fIxyd7g6/69eurY8eOjtqnn36apnOvuOIKLV26VH379lXt2rUdQdn51x85cqTmzp2rsLAwhYeHO/aXL18+44MHAAAAgAsIDQ11bB85ciRd5yefwyW/Xno9/JBRyxbu37vi5ifWS5Roqfbt22fq2gAAAIAnZCQ7iY+3evlVlx7rbbV7j2St8767cuVQvfqSUa1aOd8UdL7MZCfJnT17VgMHDtSOHTsSawULFtTs2bNVqVKlTI0TAAAAADzFkzlM61ZGA/o5540JCdLwp602/5O5BqGiRYuqZ8+ejtqKFStSPfbPP//Uzz//nLj9xBNPqGDBgpl6fQDwBn6eHgAAANkpKChIpUqV0qFDhxJrhw8fVlhYWJqvcf65kvT5l5UUEZnyuHp1pfFjjEqUyLngq23bto5JzPr169N8blBQkO677z7dd999ioiI0JEjR3T69GkVKFBApUuXTrH69c6dOx3btWvXztzgAQAAACAVFStW1IYNGxK3Dx8+nK7zk8/hMvuhPR8fo1EjpEd6We3YFpFYP3p0lVq0aJHu6x06dEjNmzd31N58803VrFkzU+MEAAAA0iq92cmOnVYTJltt3Xpe0Trv0++7p5IKFPBsY9A5mclOzomOjtagQYO0adOmxFpQUJBmzJihyy67LEvGCQAAAACe4Okc5rZbjA4dsnpncVItKkp68imrZ+dKVSpnfG551VVXaeLEiYlPxz169KgOHjyoMmXKOI6LiIhwbA8fPjxDr/fKK6/olVdeSdyuUaOG3nrrrQxdCwCyAk8OAgDkeZUrV3ZsJ29yuZRdu3Y5ts9EpJzQdL1Nmjc7ZxuDJKlcuXKO7fQ+FemcggULqmrVqmrUqJFq1KiRojFIkrZv3+7YrlWrVoZeCwAAAAAuJqvncFmxonfBgkZTJhrJOz7rCAAAAGRaWu674+Ot3n7X6uFHkjUGSbJ210Wv50mZzU7i4uI0bNgwrV27NrEWEBCgqVOnqmHDhlkyRgAAAADwFG/IYXo9atTuamft9Glp4CCrAwcz/gShQoUKqXDhwo7a8ePHM3w9AMhtaA4CAOR5NWrUcGynZ4W4Y8eO6eDBg+dV/CRTOXGrUCFp4jijAf185O/v+U+J+fr6Zst1//33X8cqERUqVFCFChWy5bUAAAAA5G+ZmcNJ0t9//+3Yzqon8lSsaBQUmCWXAgAAADzuUvfdW7dZPdrbasHzVrFxznN9zDHJJmUnfn5+qlKlSraNNbPSk50kJCRo1KhR+uWXXxznjx8/XldccUV2DA8AAAAAcpQ35DA+PkYjhxk1+5+zfuyY9PiTVseOZ7xBKDk/P78suxYAeDv+xgMA5HmtWrVyPK5z9erVstbKmIs387hcVs8u+NVRMz5NZEyIJKlJY2nkMKOSJT3XFJT8Ma3FihXLltf56quvHNs33HBDtrwOAAAAADRp0kTBwcGKioqSJO3Zs0cHDx5UmTJlLnnugQMHtHfv3sTtkJAQNWnSJMvGNnPmNH33fZw++NBZDwqS+veVypZJOT/ctm2b5s2bl7hdrFgxjRkzxnFM+fLls2yMAAAAQFpcKDuJiZFeec1qyXtSgivleZUrS23b/K6XX0qqNW3aVCEhIdk/6DTKaHZirdXEiRP13XffJdZ8fHw0cuRIXXXVVVk6RgAAAADwFG/JYQICjCaNdz8taMPG819DemKQ1fw5UuHC6ftc3tmzZ3X69GlHLbU5YYMGDTR37txUr2GMUcGCBSVJERERsjapUWnRokX67bffErc7deqkTp06JW5709wYQP5EcxAAIM9r0KCBihYtqlOnTkmS9u/frzVr1qhp06YXPGf/AavJU63++H2Zo2582sjXV+rZw+juOyVfX88+LWjlypWO7erVq2f5axw/flzvv/9+4rafn5+uv/76LH8dAAAAAJCkwMBAXX755frhhx8Sa8uXL1fPnj0vee7y5csd2y1atJC/v3+Wja1JkyZq0kQKDHLp3SVJ9dg46Y23pBcWpFxAIvkq5QEBAbr88suzbEwAAABARqSWnSx6+099vLyJDh5Mebwx0p1d3fnIgAHO++42bdrkwIjTLqPZyfTp07VixQpHbfDgwY4PegEAAABAbudNOUxwsNG0KVK/x622b0+q79gpDRpiNXuGFBKS9s/nrVq1ytHMExoaquLFi6c4LjQ09IJZjTFGRYsWlSSdOnXKcb3PP//ccWzZsmXJfAB4FR9PDwAAgOzm4+OTopnl5Zdfdty4n+NyWX3wodWDD1mtWfOHZP86b2+IypVvr+efNbrvHuPxxqCdO3emmHBdeeWVWfoaLpdLzzzzjM6ePZtYu/feexUWFpalrwMAAAAA57vxxhsd2++//75Onjx50XNOnDihDz74wFHLrqee9n7M6Oq2ztrRY9LgoVYRESnnmgAAAIC3SS07mT//FR04kPJ+tnJl6dm5Rn17++jvv//QunXrEveFhITommuuyebRpl1Gs5MFCxakmE/069dPt9xyS5aODwAAAAC8gTflMIULGc2cZlS+nLO+abP01DCrqKi05S7R0dF66aWXHLVWrVrJx4ePygPIP/gbDwCQL9x///2Ox3auXbtWb731luOYvfusHn/SatYcq8ioo3LFT3bsr1XnDr3xaqhq17p4U1Dz5s3VvHlzXXHFFbrsssscjxJN7uzZs5o2bZqOHDmSrj/P9u3b9fjjjysuLi6xVrp0abVr1+6i58XHx2vfvn1peo3o6GhNmDBB33//fWKtfPnyeuihh9I1VgAAAABIr1atWqlevXqJ2+Hh4Zo4caLi4+NTPT4uLk4TJ05UeHh4Yq1Ro0Zq3rz5JV+rV69eifO45s2bpwiOUuPjYzRymFH9es769h3SiFFWsbE0CAEAAMD73XXXffL3T8pOZNfKJiRlJ/7+Uo/uRq++aNSgvtGRI0c0adIkxzXuvPPOxBWVL+b8e+7mzZvrzz//vOCxOZ2dvPnmm3rzzTcdtR49eujee+9N1+sDAAAAQG7hbTlMWJjR7BlGJYpLCXHPyro2SZLW/eVemC0y8uK5S3h4uAYPHqw9e/Yk1nx9fXXXXXddcnwAkJf4eXoAAADkhKJFi6pbt2567rnnEmsLFizQoUOHdO+9D+rzL4tr4dtSbKxL1vWTXHGzJR1OPLZIkeKaN+fedD2mNC1cLpeWLl2qTz75RFdccYXat2+vBg0aqFy5cjLG+VpxcXHavHmzPvvsMy1btswxGTPG6Mknn1RQUNBFXy82NlZ33HGHWrRooWuuuUaXX355iqcAhYeH66efftJrr72m/fv3J9YDAwM1ZswYBQYGZsGfHAAAAAAurm/fvurdu7dcLpckaeXKlerfv7/69++vWrVqJR73zz//aM6cOVq7dm1izdfXV3379s3W8QUGGk2ZKD3W12rv3qT6n2ukUWOtJoyV/PwyP4c8duyYNm1yh2ARERGOp+CeOXPGcezOnTv1+++/p3qdhg0bMp8DAABAol9/s5ozv4gS7AOSnk+su+Kfl7WHVa/+gxo5rKQqVTJyuVz64YcfNWvWLB06dCjx2BIlSuiee+7J8rHlZHby6aefasGCBY5aw4YN1bBhwwveW19IiRIlVKVKlXSdAwAAAACe4m05TOnSRrNmSPfe+7sSYhdJpo58fNtr7dqmGvRUVU2f5u/47J61Vrt379a3336rJUuW6NSpU47r3XXXXapevXqWjhEAvB3NQQCAfOP+++/X33//rZ9//jmxtnTpUi1d+rFkSkkqKNmDkpwfrgoMDNS0aRNVqFChbBtbfHy8fv7558SxhYSEKCwsTIUKFZK1VhERETp48GCqqzMYYzRs2DC1adMmTa/lcrkcr1WsWDEVL15cvr6+OnHihI4dO6aEhATHOUFBQZo8ebJjxQgAAAAAyE6NGjVSr1699OyzzybW1qxZowcffFAlSpRQWFiYjh07pmPHjqU4t0+fPjkyfylSxGj6VOmxPlYnTybVV/4sjZ9oNWpk5l/j119/1fjx49N07KJFi7Ro0aJU9y1dulRly5bN/IAAAACQq+3Za/Xc81Y//ReVGN/7ZFzrZV1J2YlN+FCb1n+iJ54orQIFCujgwYMpGtMDAwM1YcKEXJ+dpPYEo7/++kv9+/dP93g7d+6sUaNGpfs8AAAAAPAEb8xhKlcyKldW2rNHkt0kV7x78bQ1f/irY6cSqlihoAID/RUZGanDhw8rMjIy1et07txZffr0yfLxAYC3ozkIAJBv+Pj4aNKkSZowYYK++uqr8/YkSPZAqucUKVJEkyZNUsOGDXNmkP+JjIy84OTlfBUqVNDQoUPVtGnTDL/WiRMndOLEiQvur1KlisaOHauaNWtm+DUAAAAAICPuv/9++fj4aMGCBY5FDI4ePaqjR4+mON7X11f9+vXTXXfdlWNjLFfW6JnJUv8nrM6fxn3znRQYaHXdNTk2FAAAAOCCTpywevUNq2XLpARXUt0YH/n4T5ArfqJswteJ9YSEBO3fvz/Va+WH7AQAAAAA8gNvzGECA1Orxik25oD+/ffi5xYoUEC9e/fWrbfemuLJswCQH9AcBADIVxISAlS56lgFhbRVdNTrkt2W6nFBQcG6/vrO6tGjh4oVK5Zt4ylYsKCee+45rVq1Sn/++ae2bdumuLi4i57j5+enRo0aqUuXLmrXrp0CAgLS/HoBAQHq3r27fv75Z/3777+Jj4VNTY0aNXTbbbepS5cu8vPjlgEAAACAZ9x7771q1qyZXnjhBf3yyy+pzmN8fHzUokULPfbYY6pRo0aOj7FWLaNnpkhPDLaKiUmqr/hcCg+3OT4eAAAA4JzISKt3Flu9u1iKik79mLp1AjVwwHgdPNBOr7/+urZu3ZrqccHBwercOe9lJwAAAACQn3lbDjNu3DitXLlSP/zwuzZu3CRrz170eGOMqlWrpk6dOqlz584KDQ3N1vEBgDcz1lqvSKdPnjzp6SF4NWOMihYtKkk6deqUvOR/G5Al+P5GToiPt1r+qfTq61Ynzvsnx7r2ydqNkj2qUiXjdO21hdTsf1XUoEEDBaa+DEGaZeR7OzY2Vjt37tT+/ft17NixxBXwChYsqIIFC6py5cqqVq2a/P39MzU2SYqIiNCWLVu0f/9+hYeHKy4uTsHBwSpdurTq1KmjUqVKZfo1kHfxdzfyMr6/kVfxvY28jO/v/OPUqVP666+/tH//fkVHRysoKEjly5dXgwYNEr8HPGn1H1ZDhlnFJvvc4t13Sr0fMxlapY7vb+RV+fl72xvCaTIZIOfl57/34BmxsVbLPpVef9PqQn/tFy0q9XrUqFMHyccn6V5179692rhxo44ePaq4uDgVKlRIlStXzpLsJCOyMjvhZxHwHvw8At6Bn0XAe/DzCG/gbTnMtn8T1G/AHp0+vU+yhyWdlRSvEsVDdPddhVSjRhnVqlVLBQoUyLLX5GcR8B5Z8fPoDZlMTqI5KJfgHxvkZXx/IztZa/XTSun5F6327E39mCKFpV6PGXXu6Ay/MovvbeRlfH8jL+P7G3kV39vIy/j+hjf5eZXV8KetEhKc9Qfuk3r2SH+DEN/fyKvy8/e2NwRRZDJAzsvPf+8hZ8XGWi1fIS1cZHXkaOrHBARIXW+T7rvHqFChrMtFcgN+FgHvwc8j4B34WQS8Bz+PQOp27LDq/4TVqVPOetmy0sxpRuXLZ+28lp9FwHvQHJR+fp4eAAAA2cFaq99+dz8paNPm1I/x8ZGu7yw9+rBR0aL5K/wCAAAAAGSPVi2NRj8tjRln5XIl1d9cKMXEWvXtpQw9QQgAAAC4mJgYq+WfSgvftjp6LPVjjJE6dZR6dDcqVZJ7UgAAAACA96ta1WjuLOnxJ6xOnLfm0YEDUq9+VtOnSpfVZI4LABLNQQCAPMblslr1i/Tmwgs3BUlSyxbSY48YVa3CxAAAAAAAkLXatTWKiZEmTnauXrV4iRQdZfXkwKx9ci0AAADyr6goq2WfSm+/a3XsAk1BktSy+X+5SFXuQwEAAAAAuUvVKkbPzZcGDrY6cCCpfvKk1HeA1eQJ0v+aMt8FAJqDAAB5Qny81VdfS4vetdq168LHXVZT6tPLqEljJgMAAAAAgOzTqYNRfJw0bYbV+U+4/3iZFB1jNewpyc+PuSkAAAAy5vQZq6UfSu+9bxV++sLHNWroflJQ40bcewIAAAAAcq9y5Yyeny8NGmK1dVtSPSrKXXt6uNS+HXNfAPkbzUEAgFzt3Ip47y6xOnLkwseVKSM98rBR+6tZnRkAAAAAkDNu6GIUECBNmmKV4Eqqf/GlFBNtNfppyd+fOSoAAADS7tgxq8XvWX30ifsDUBfSuJHUvRuLpQEAAAAA8o5ixYzmzZaGP23155qkeny8NHqc1b790gP3ScYwFwaQP9EcBADIlQ4ctProY6vlK6TTF1kRr2xZqdv9Rh2uZUVmAAAAAEDO63CdUVCQO5SKj0+qf/+jFD3SauI4KTCQ+SoAAAAubstWq/c/sPr6Wyku7sLHNWnsbgriSUEAAAAAgLyoQAGjZ6ZI4ydZffe9c99Lr1jt3i0NGUz2AiB/ojkIAJBruFxWf/wpffCh1apfJGsvfGyVytI9dxtd256mIAAAAACAZ111pdHkCdKIUVaxsUn1X3+TBg6ymjJJKlyIuSsAAACc4uOtflwpvf+B1d/rL35si+bSffcYNWzAfSUAAAAAIG8LCDAa87QUWtRq6UfOfV9+7V54fNJ495OGACA/oTkIAOD1Tp6y+vIr6aNPrPbuvfix9eu5w68WzSUfH27uAQAAAADeoUVzo+lTpSHDrKKik+p/r5f69LOaMU0qWZJ5LAAAouqsUwAAZeBJREFUAKQTJ6w+/Uz68COrI0cvfJyPj9Tuauneu41qVOdeEgAAAACQf/j6Gg0cIJUrJ81fYB0LjW/YKPXsZTV1klS9GvNlAPkHzUEAAK8UH2/16+/SpyvcTwlKSLj48S2bS/eyIh4AAAAAwIs1aWw0a4Y06CmriLNJ9Z27pMf6Wk2bTEgFAACQX1lrtWate6G0n1ZK8fEXPjbAX+rUUbrnLqNy5bh/BAAAAADkT8YY3dlVqlBeGj3OKioqad/hw1KvPlajRkptWjN3BpA/0BwEAPAa1lr9u1366murz7+QTpy8+PEFCkidO0q33GxUsQI38AAAAAAA71evrtGz86Qnn7I6diypfuSIO6Qa/bTUuhVzXAAAgPzi1Cmrz76QPl5mtW/fxY8tXly65SajG2+QQotyzwgAAAAAgCS1bGH0/LPSkGFWhw4n1aOipWEjrR64z6pHdyNfX+bSAPI2moMAAB63c5fVt99ZffOttGfvpY+vWkW69Raj666RQkK4YQcAAAAA5C7Vqho9P196YrB1zIPPhVS9HpXuvtO94h0AAADyHmut/l4vffyJ1Xc/SHFxFz++Xl3p9luN2l4l+flxjwgAAAAAQHLVqhq99Lw0/Gmr9Ruc+95cKP2zxWr0SKlIEebVAPIumoMAADnOWqtdu6Uff5K+/c5q+45LnxMYKLW9UupyvVGjhnxACgAAAACQu5UubfTcfGnoCGdIZa204HmrXbukQU9IgYHMfwEAAPKKo0etPv9SWvG51d5LLJYWGCi1v1q65Waj2rW4JwQAAAAA4FJCQ41mz5CmzbD64kvnvt9XSw8/ajVhnHRZTebZAPImmoMAADkiIcFq4ybpp5VWP62U9u1P23l160jXdzZq11YqWJCbcgAAAABA3lGkiNGcme6Q6vMvnPtWfC7tP2A1cbxV0aIeGR4AAACyQEyMOxdZ8bnVH39KLtfFj69cWbrpBqMO10mFC5GLAAAAAACQHoGBRiOHSbUuk+YvsEpISNp38JDUq6/VoIFS507MuQHkPTQHAQCyTUyMO+ha+bPVylXSyZNpO69UKal9O6lzR6PKlbgJBwAAAADkXQEBRiOGSpUrSS+8ZGVt0r6//pZ6PurSvDnxql2Lt3IBAAByi4QEq3V/SV99bfX9D1LE2Ysf7+8vXX2VdNONRg3qS8aQjQAAAAAAkFHGGHW9TapZQxo1xur4iaR9sbHSpKlWa9dZDRxgFBLCHBxA3kGiDADIUqfPWP3yi/sJQb/9LkVFp+28sDCpXVupfTujunUIvgAAAAAA+YcxRvfdI1WsII2baBV93lz64CHpvm7hGjemoFq18NwYAQAAcHHWWv2zRfr6G6uvv5WOH7/0OeXLu58S1KmDVLQouQgAAAAAAFmpYQOjV16Snh5ttX6Dc99nX0h/r7ca/bRUpzZzcgB5A81BAIBMO3TYauXP7oagdeukBFfazitRXGrdWmrX1r0Snq8vN9kAAAAAgPzryjZGz82Thgy3OnI0qR4dLT01NEJ3dDV6rKf7aUMAAADwDnv2WH31jdVXX0v79l/6+JAQqf3VUqeORvXrsVgaAAAAAADZqXiY0dxZ0rPPWb2/1Llv/wGpVx+rh7pL993D5xcB5H40BwEA0s1aqx07pZ9WSj+utNq6Ne3nVqkstWktXdna6LLLCL0AAAAAADhfjRpGLz0vjUxlFbsl71mt+0sa87RUsQLzaQAAAE+w1mr7DunHn6Qff7L6d/ulzzFGatpE6tzR6Mo2UlAQ93IAAAAAAOQUf3+jx/sb1a1r9cwMq8jIpH0JLumlV6xW/yE9PUIqXYo5O4Dci+YgAECaxMe7P5S08merH1dKBw+m7TxjpPr1pDatjdq0ksqX5+YZAAAAAICLCftvFbvZc60+Xubct3Wr1KOn1RMDpU4dmGMDAADkBJfLauMmdzPQjz+5VxZOi5o1pGvaG7VvJ5Uqyb0bAAAAAACedG17o7p1pHETrDZsdO5b95fUrbtV/34u3XOXZdFzALkSzUEAgAs6fdrq19+lVb9Y/fqbFBGRtvMC/KVmzdwNQa1aSKGh3CgDAAAAAJAe/v5Gg580qnWZ1ay5VrGxSfuioqWJk63++MPqyYFGISHMuwEAALJaXJzVmrXuhqCVP0vHT6TtvHJlpWuvcTcFVa7EfRoAAAAAAN6kbBmj+XOkN96yeuMtyeVK2hdxVpo0xernn89o9NMFFBjouXECQEbQHAQASGSt1e490qpf3A1B69e7H5uZFoUKSS1bSFe2Nmr2P/HBJAAAAAAAssCNN/jo8ssLavCQCO3YmeDY98VX0sZNViOHS/XqMg8HAADIrIgIq9V/SD+ttFr1i/tDQWlRLFRq30669hqj2rXE6sIAAAAAAHgxPz+jHt2N/tfUatxEq8OHnft/+ClON90Wrv59pY7XMc8HkHvQHAQA+VxsrNVff0s//+IOug4cSPu5pUpJbVq7G4Ia1HffNAMAAAAAgKxV6zI/LX67iMZNOKlln1rHvn37pd79rO6606rHg0aBgczNAQAA0spaq3//lX79Xfr1N6sNG9K+aFqpUtKVraUr2xjVr0dGAgAAAABAbtOwgdHrL0uz5lh9+bVz35kzVhMnS99+Jw1+QipZknk/AO9HcxAA5EMnT1r98qv76UC/rZaiotJ+bvVq7oagNq2NalSnKx4AAAAAgJwQEmI09Ckf/a+pS9NmWJ09bxV7l0t6+x1p1SqrEcOk2rWYqwMAAFzI6TPupwP99pvVb79Lx0+k/dzKld0NQVddaVSzBhkJAAAAAAC5XaFCRqNGGl3d1mr6TJvifYJffpXu7Wb18EPSbbewOAgA70ZzEADkA3FxVhs2Sr+vtvp9tbR1m2Ttpc+TpIAA6X9NpZYtjFo0l0rRAQ8AAAAAgMe0b2dUu7Y0drzVxk3Ofbt2S4/1trrnHqvuDxgFBDCHBwAAiI62Wr9BWrPWas1aafM/7ubqtKpT2/10oCvbSBUrcH8FAAAAAEBe1Ka1UcMG0px50hdfOT9cGRUlzXvW6rPPpUFPSPXq8v4AAO9EcxAA5FH79ln9/oe7IejPNel7OlCJ4lLLFu6GoKZNpKAgbmYBAAAAAPAWZcsYPTtXemex9OrrVnFxSfsSXNJbC6WVK60GPSE1bMCcHgAA5C+xsVabNkt/rrFau07auEmO+6VL8feXGjWUWrcyurK1VKIE91MAAAAAAOQHhQu7nyLUpUuIxo6P0LFjziahf7dLvfpa3dDF6rGeRoUL854BAO9CcxAA5BFnz7pXvPvtv6cDHTiQ9nONkWrXcjcDtWohVa8uGcONKwAAAAAA3srPz+j+e6VWLaQJU6y2bnXu37lL6tPfqmMHq96PGhUrxjwfAADkTfHxVv9skdauczcErd8gxcSk7xply0rNL5euuNyoSWMpOJh7JwAAAAAA8qt2bQPUpHFRTZ56Sss/dTYIWSt9skz68Uerh3tIXTq7MxsA8AY0BwFALpWQYLVtm/TbavfTgTZslBIS0n5+cLB0RTN3Q1DzK8SHhAAAAAAAyIWqVjV6cYG08G3p9Tet4uOd+z//wv0UoZ49pJtvknx9mf8DAIDc7fQZq42bpA0b3NnIpk1SVHT6rhEQIDVu5G4Gan6FVKE8i6YBAAAAAIAkRYv4aNhTPurc0aUZs6y273DuPxUuTZ9p9f5SqU8v96IjvLcAwNNoDgKAXCIhwX2DuXadtHad1bq/pIiI9F2jZg3p8mbS5c2M6teT/P25GQUAAAAAILfz8zN68AGpVUtp8lSrrduc+yPOSrPmWn36mTRwgFS/Hu8HAACA3MFaq717pfUb3c1A6zdKu3al/zo+PlKty6SmTaQmjd0ZSVAQ90QAAAAAAODiGtQ3euVF6b0PpFdfsykWKNm1Sxo8xKrZ/9xNQtWr8X4DAM+hOQgAvFRWNAMVC5WaNZOuaGbU7H9SaCg3ngAAAAAA5FU1qhu9+Jz00SfSS69YnT3r3L91m9Srr1X7q616PWpUujTvEwAAAO8SHu5udN78z39PBtoknT6d/usYI9WoLjVuLDVtbNSwgVSgAPc+AAAAAAAg/fz8jO6+U2p3tTR3vtUPP6Y8ZvUf0kM9rTp1tOrezah0Kd6HAJDzaA4CAC8RGWm1+R9p/QZp/QarjRvdK/umh5+f1KC++8lAVzSTqlWTfHy4yQQAAAAAIL/w8zO6/Vbp6qukBc9bffFVymO++U76aaXVnXdY3X+vUUgI7x0AAICcd+qU1Zat+u+X1ZYt0qHDGb9e5cpS08buJwM1aigVKcI9DgAAAAAAyDqlShpNHGe0Zq3V/AXuBU7O53JJn66QvvzK6qYb3BlMWBjvTwDIOTQHAYAHxMZa7dwlbd0qbdlmtWmztP1fKcGV/mtVqCBd0czdENS4kRQczM0kAAAAAAD5XViY0dMjjLpcbzVztvt9iPPFxklvLZI+XWHVs4fUuZPk68t7CgAAIOslJFjt3y/9u0PascNq+3Zp67/S4Uw0AgX4S7VqSfXqSvXqGtWrKxUrxr0MAAAAAADIfk0aG738gvTFl9ILL1sdO+bcHxcnvb9UWr7C6rZbrO6926hwYd63AJD9aA4CgGwWE2P173Zp6zZp61arLdukHTuk+PiMXa98OalxI6lxI/fKdyVLctMIAAAAAABS17iR0WsvS0s/lF59wyoiwrn/xElp6nSrd5dIPR6S2l7JU4gBAEDGnTzpzkR27JS2b7favkPauUuKjc3cdYsXl+rXS2oEqllD8vfnngUAAAAAAHiGj49Rp45S26ukd5dIi96xio52HhMdLS16R/roE6s7brfqehtNQgCyF81BAJBFoqKsdu+Rdu2Wdu2y7q+7pQMH3I+LzCiagQAAAAAAQGb4+Rnd0VXqcJ302htWH36U8unFu/dIo8ZY1agu9ewhtWguGcN7EAAAIHWRkVZ79vzXBLTD3QS0fYd08mTmrx0QIFWvJtWuJdWvZ1SvnlSqJPcmAAAAAADA+wQHG3XvJt3QRXprodXHy1IuHH/2rPTaG9K7S6xuudnqrq6GJyADyBY0BwFAOlhrdfq0tHeftGuXtHO31e7d7t8fOpz56/v6ule7q1dXqlfPqEE9qUQJbgIBAAAAAEDmFSli9Hh/o1tusnr2OatVv6Y8Ztu/0lPDrOrVlR5+SGrahA/iAgCQX1lrdeyYu4l49x5pzx7731fpyNGseY3AQKlGdemymtJlNY0uu0yqVNHd3AwAAAAAAJBbFA8zGjj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" ] @@ -889,15 +988,13 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 57, "id": "88c3534c", - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -938,34 +1035,34 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 80, "id": "586147ea", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "frequency 26.00\n", - "recency 30.86\n", - "T 31.00\n", - "monetary_value 39.97\n", - "customer_id 1516.00\n", - "Name: 1516, dtype: float64" + "customer_id 1516.000000\n", + "frequency 27.000000\n", + "recency 67.000000\n", + "T 70.000000\n", + "monetary_value 51.944074\n", + "Name: 1515, dtype: float64" ] }, - "execution_count": 17, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "customer_1516 = data.loc[1516]\n", + "customer_1516 = rfm_data.loc[1515]\n", "customer_1516" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 97, "id": "d263f46f", "metadata": {}, "outputs": [ @@ -999,73 +1096,73 @@ " \n", " \n", " 0\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 30\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 67\n", " \n", " \n", " 1\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 31\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 68\n", " \n", " \n", " 2\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 32\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 69\n", " \n", " \n", " 3\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 33\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 70\n", " \n", " \n", " 4\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 34\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 71\n", " \n", " \n", " 5\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 35\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 72\n", " \n", " \n", " 6\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 36\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 73\n", " \n", " \n", " 7\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 37\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 74\n", " \n", " \n", " 8\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 38\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 75\n", " \n", " \n", " 9\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 39\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 76\n", " \n", " \n", "\n", @@ -1073,29 +1170,29 @@ ], "text/plain": [ " ID frequency recency T\n", - "0 1516 26 30.86 30\n", - "1 1516 26 30.86 31\n", - "2 1516 26 30.86 32\n", - "3 1516 26 30.86 33\n", - "4 1516 26 30.86 34\n", - "5 1516 26 30.86 35\n", - "6 1516 26 30.86 36\n", - "7 1516 26 30.86 37\n", - "8 1516 26 30.86 38\n", - "9 1516 26 30.86 39" + "0 1515 27 67.0 67\n", + "1 1515 27 67.0 68\n", + "2 1515 27 67.0 69\n", + "3 1515 27 67.0 70\n", + "4 1515 27 67.0 71\n", + "5 1515 27 67.0 72\n", + "6 1515 27 67.0 73\n", + "7 1515 27 67.0 74\n", + "8 1515 27 67.0 75\n", + "9 1515 27 67.0 76" ] }, - "execution_count": 18, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } ], "source": [ "customer_1516_history = pd.DataFrame(dict(\n", - " ID=np.full(10, 1516, dtype=\"int\"),\n", + " ID=np.full(10, 1515, dtype=\"int\"),\n", " frequency=np.full(10, customer_1516[\"frequency\"], dtype=\"int\"),\n", " recency=np.full(10, customer_1516[\"recency\"]),\n", - " T=(np.arange(-1, 9) + customer_1516[\"T\"]).astype(\"int\"),\n", + " T=(np.arange(0, 10) + customer_1516[\"recency\"]).astype(\"int\"),\n", " \n", "))\n", "customer_1516_history" @@ -1103,7 +1200,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 98, "id": "71bba204", "metadata": {}, "outputs": [], @@ -1118,13 +1215,13 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 99, "id": "6b03c584", "metadata": {}, "outputs": [ { "data": { - "image/png": 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+ "image/png": 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"text/plain": [ "
" ] @@ -1159,10 +1256,26 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 104, "id": "48bd5403", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/fg/0gjlwtr11dd51xt6hkb8qw6h0000gn/T/ipykernel_35319/3998795890.py:1: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " customer_1516_history[\"frequency\"].iloc[-3:] += 1\n", + "/var/folders/fg/0gjlwtr11dd51xt6hkb8qw6h0000gn/T/ipykernel_35319/3998795890.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " customer_1516_history[\"recency\"].iloc[-3:] = customer_1516_history[\"T\"].iloc[-3] - 0.5\n" + ] + }, { "data": { "text/html": [ @@ -1193,73 +1306,73 @@ " \n", " \n", " 0\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 30\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 67\n", " \n", " \n", " 1\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 31\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 68\n", " \n", " \n", " 2\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 32\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 69\n", " \n", " \n", " 3\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 33\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 70\n", " \n", " \n", " 4\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 34\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 71\n", " \n", " \n", " 5\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 35\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 72\n", " \n", " \n", " 6\n", - " 1516\n", - " 26\n", - " 30.86\n", - " 36\n", + " 1515\n", + " 27\n", + " 67.0\n", + " 73\n", " \n", " \n", " 7\n", - " 1516\n", - " 27\n", - " 36.50\n", - " 37\n", + " 1515\n", + " 31\n", + " 73.5\n", + " 74\n", " \n", " \n", " 8\n", - " 1516\n", - " 27\n", - " 36.50\n", - " 38\n", + " 1515\n", + " 31\n", + " 73.5\n", + " 75\n", " \n", " \n", " 9\n", - " 1516\n", - " 27\n", - " 36.50\n", - " 39\n", + " 1515\n", + " 31\n", + " 73.5\n", + " 76\n", " \n", " \n", "\n", @@ -1267,19 +1380,19 @@ ], "text/plain": [ " ID frequency recency T\n", - "0 1516 26 30.86 30\n", - "1 1516 26 30.86 31\n", - "2 1516 26 30.86 32\n", - "3 1516 26 30.86 33\n", - "4 1516 26 30.86 34\n", - "5 1516 26 30.86 35\n", - "6 1516 26 30.86 36\n", - "7 1516 27 36.50 37\n", - "8 1516 27 36.50 38\n", - "9 1516 27 36.50 39" + "0 1515 27 67.0 67\n", + "1 1515 27 67.0 68\n", + "2 1515 27 67.0 69\n", + "3 1515 27 67.0 70\n", + "4 1515 27 67.0 71\n", + "5 1515 27 67.0 72\n", + "6 1515 27 67.0 73\n", + "7 1515 31 73.5 74\n", + "8 1515 31 73.5 75\n", + "9 1515 31 73.5 76" ] }, - "execution_count": 21, + "execution_count": 104, "metadata": {}, "output_type": "execute_result" } @@ -1292,7 +1405,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 105, "id": "80be3745", "metadata": {}, "outputs": [], @@ -1307,13 +1420,13 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 106, "id": "61915242", "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -1344,9 +1457,7 @@ "id": "a45c921f", "metadata": {}, "source": [ - "From the plot above, say that customer 1516 makes a purchase at week 36.5, roughly ~6 weeks after they have made their last recorded purchase at time 30.86 weeks according to the data. We can see that the probability of the customer returning quickly goes back up!\n", - "\n", - "In other words, for every purchase, the probability of a customer returning for a/more purchase(s) increases. Similarly, as time goes by where a customer makes no purchase, the likelihood of them returning for a purchases decreases with time." + "From the plot above, say that customer 1516 makes a purchase at week 73.5, just over 6 weeks after they have made their last recorded purchase. We can see that the probability of the customer returning quickly goes back up!" ] }, { @@ -1354,7 +1465,7 @@ "id": "815d2f63", "metadata": {}, "source": [ - "## Estimating customer lifetime value using the Gamma-Gamma model" + "## Estimating Customer Lifetime Value Using the Gamma-Gamma Model" ] }, { @@ -1362,14 +1473,14 @@ "id": "1d26ffad", "metadata": {}, "source": [ - "In the analysis above, we did not take into account the monetary value of each transaction as we only focused on transactions’ occurrences. To estimate transaction values, we can use the Gamma-Gamma model. To do so, we need a summary data of the economic values for each transaction (i.e. profits or revenues).\n", + "Until now we’ve focused mainly on transaction frequencies and probabilities, but to estimate economic value we can use the Gamma-Gamma model.\n", "\n", - "This model assumes at least 1 transaction has been observed per customer. As such we filter out those with zero repeat purchases." + "The Gamma-Gamma model assumes at least 1 repeat transaction has been observed per customer. As such we filter out those with zero repeat purchases." ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 128, "id": "ee66d183", "metadata": {}, "outputs": [ @@ -1394,61 +1505,53 @@ " \n", " \n", " \n", + " customer_id\n", " frequency\n", " recency\n", " T\n", " monetary_value\n", - " customer_id\n", - " \n", - " \n", - " customer_id\n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", " \n", - " 1\n", - " 2\n", - " 30.43\n", - " 38.86\n", - " 22.35\n", + " 0\n", " 1\n", + " 3.0\n", + " 49.0\n", + " 78.0\n", + " 23.723333\n", " \n", " \n", - " 2\n", - " 1\n", - " 1.71\n", - " 38.86\n", - " 11.77\n", + " 1\n", " 2\n", + " 1.0\n", + " 2.0\n", + " 78.0\n", + " 11.770000\n", " \n", " \n", - " 6\n", - " 7\n", - " 29.43\n", - " 38.86\n", - " 73.74\n", + " 5\n", " 6\n", + " 14.0\n", + " 76.0\n", + " 78.0\n", + " 76.503571\n", " \n", " \n", - " 7\n", - " 1\n", - " 5.00\n", - " 38.86\n", - " 11.77\n", + " 6\n", " 7\n", + " 1.0\n", + " 5.0\n", + " 78.0\n", + " 11.770000\n", " \n", " \n", - " 9\n", - " 2\n", - " 35.71\n", - " 38.86\n", - " 25.55\n", - " 9\n", + " 7\n", + " 8\n", + " 1.0\n", + " 61.0\n", + " 78.0\n", + " 26.760000\n", " \n", " \n", " ...\n", @@ -1459,89 +1562,167 @@ " ...\n", " \n", " \n", - " 2348\n", - " 7\n", - " 24.14\n", - " 27.00\n", - " 16.36\n", - " 2348\n", + " 2351\n", + " 2352\n", + " 1.0\n", + " 47.0\n", + " 66.0\n", + " 14.490000\n", " \n", " \n", - " 2349\n", - " 1\n", - " 9.29\n", - " 27.00\n", - " 13.97\n", - " 2349\n", + " 2352\n", + " 2353\n", + " 2.0\n", + " 53.0\n", + " 66.0\n", + " 19.775000\n", " \n", " \n", - " 2350\n", - " 2\n", - " 21.86\n", - " 27.00\n", - " 18.56\n", - " 2350\n", + " 2353\n", + " 2354\n", + " 5.0\n", + " 24.0\n", + " 66.0\n", + " 44.928000\n", " \n", " \n", " 2354\n", - " 5\n", - " 24.29\n", - " 27.00\n", - " 44.93\n", - " 2354\n", + " 2355\n", + " 1.0\n", + " 44.0\n", + " 66.0\n", + " 24.600000\n", " \n", " \n", - " 2356\n", - " 4\n", - " 26.57\n", - " 27.00\n", - " 33.32\n", + " 2355\n", " 2356\n", + " 6.0\n", + " 62.0\n", + " 66.0\n", + " 31.871667\n", " \n", " \n", "\n", - "

946 rows × 5 columns

\n", + "

1126 rows × 5 columns

\n", "" ], "text/plain": [ - " frequency recency T monetary_value customer_id\n", - "customer_id \n", - "1 2 30.43 38.86 22.35 1\n", - "2 1 1.71 38.86 11.77 2\n", - "6 7 29.43 38.86 73.74 6\n", - "7 1 5.00 38.86 11.77 7\n", - "9 2 35.71 38.86 25.55 9\n", - "... ... ... ... ... ...\n", - "2348 7 24.14 27.00 16.36 2348\n", - "2349 1 9.29 27.00 13.97 2349\n", - "2350 2 21.86 27.00 18.56 2350\n", - "2354 5 24.29 27.00 44.93 2354\n", - "2356 4 26.57 27.00 33.32 2356\n", + " customer_id frequency recency T monetary_value\n", + "0 1 3.0 49.0 78.0 23.723333\n", + "1 2 1.0 2.0 78.0 11.770000\n", + "5 6 14.0 76.0 78.0 76.503571\n", + "6 7 1.0 5.0 78.0 11.770000\n", + "7 8 1.0 61.0 78.0 26.760000\n", + "... ... ... ... ... ...\n", + "2351 2352 1.0 47.0 66.0 14.490000\n", + "2352 2353 2.0 53.0 66.0 19.775000\n", + "2353 2354 5.0 24.0 66.0 44.928000\n", + "2354 2355 1.0 44.0 66.0 24.600000\n", + "2355 2356 6.0 62.0 66.0 31.871667\n", "\n", - "[946 rows x 5 columns]" + "[1126 rows x 5 columns]" ] }, - "execution_count": 24, + "execution_count": 128, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "nonzero_data = data.query(\"frequency>0\")\n", + "nonzero_data = rfm_data.query(\"frequency>0\")\n", "nonzero_data" ] }, + { + "cell_type": "markdown", + "id": "c844025c-8f6b-4128-a109-cf3af964ca04", + "metadata": {}, + "source": [ + "If computing the monetary value from your own data, note that it is the *mean* of a given customer’s value, *not* the sum. `monetary_value` can be used to represent profit, or revenue, or any value as long as it is consistently calculated for each customer.\n", + "\n", + "The Gamma-Gamma model relies upon the important assumption there is no relationship between the monetary value and the purchase frequency. In practice we need to check whether the Pearson correlation is less than 0.3:" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "id": "e8ccbfb7-1951-49fa-bf57-a43fbf5df4cc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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monetary_valuefrequency
monetary_value1.0000000.052819
frequency0.0528191.000000
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" + ], + "text/plain": [ + " monetary_value frequency\n", + "monetary_value 1.000000 0.052819\n", + "frequency 0.052819 1.000000" + ] + }, + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nonzero_data[['monetary_value', 'frequency']].corr()" + ] + }, + { + "cell_type": "markdown", + "id": "057edfe6-ac7c-48f9-941f-6e5c047b09c5", + "metadata": {}, + "source": [ + "Transaction frequencies and monetary values are uncorrelated; we can now fit our Gamma-Gamma model to predict average spend and expected lifetime values of our customers" + ] + }, { "cell_type": "markdown", "id": "3ad94288", "metadata": {}, "source": [ - "The Gamma-Gamma model takes in a 'data' parameter, a pandas DataFrame with 3 columns that contain the group expected mean spend and expected individual variation around that mean. As with the BG/NBD model, these parameters are given HalfFlat priors which can be too diffuse for small datasets. For this example, we will use the default priors, but other priors can be specified just like with the BG/NBD example above." + "The Gamma-Gamma model takes in a 'data' parameter, a pandas DataFrame with 3 columns representing Customer ID, average spend of repeat purchases, and number of repeat purchase for that customer. As with the BG/NBD model, these parameters are given HalfFlat priors which can be too diffuse for small datasets. For this example, we will use the default priors, but other priors can be specified just like with the BG/NBD example above." ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 66, "id": "20d81e20", "metadata": {}, "outputs": [], @@ -1555,7 +1736,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 67, "id": "d2f5bf8c", "metadata": {}, "outputs": [ @@ -1569,7 +1750,7 @@ "likelihood ~ Potential(f(q, p, v))" ] }, - "execution_count": 26, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -1592,7 +1773,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 109, "id": "f8f280ad", "metadata": {}, "outputs": [ @@ -1628,8 +1809,8 @@ "text/html": [ "\n", "
\n", - " \n", - " 100.00% [23/23 00:00<00:00 logp = -4,055.9, ||grad|| = 0.15454]\n", + " \n", + " 100.00% [24/24 00:00<00:00 logp = -4,899.8, ||grad|| = 17.939]\n", "
\n", " " ], @@ -1654,20 +1835,20 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 110, "id": "111da936", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "p 6.249\n", - "q 3.745\n", - "v 15.448\n", + "p 4.785\n", + "q 3.882\n", + "v 22.653\n", "Name: value, dtype: float64" ] }, - "execution_count": 28, + "execution_count": 110, "metadata": {}, "output_type": "execute_result" } @@ -1678,7 +1859,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 111, "id": "6928cb36", "metadata": {}, "outputs": [ @@ -1750,7 +1931,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 112, "id": "078fb357", "metadata": {}, "outputs": [ @@ -1789,38 +1970,38 @@ " \n", " \n", " p\n", - " 6.389\n", - " 1.284\n", - " 4.276\n", - " 8.802\n", - " 0.047\n", - " 0.034\n", - " 783.0\n", - " 1019.0\n", + " 4.850\n", + " 0.793\n", + " 3.426\n", + " 6.234\n", + " 0.025\n", + " 0.018\n", + " 1050.0\n", + " 1226.0\n", " 1.0\n", " \n", " \n", " q\n", - " 3.787\n", - " 0.297\n", - " 3.277\n", - " 4.356\n", - " 0.010\n", - " 0.007\n", - " 864.0\n", - " 1283.0\n", + " 3.912\n", + " 0.278\n", + " 3.377\n", + " 4.427\n", + " 0.008\n", + " 0.006\n", + " 1206.0\n", + " 1226.0\n", " 1.0\n", " \n", " \n", " v\n", - " 16.110\n", - " 4.268\n", - " 8.624\n", - " 24.030\n", - " 0.156\n", - " 0.111\n", - " 727.0\n", - " 1001.0\n", + " 23.373\n", + " 5.288\n", + " 14.026\n", + " 33.460\n", + " 0.167\n", + " 0.118\n", + " 998.0\n", + " 957.0\n", " 1.0\n", " \n", " \n", @@ -1829,9 +2010,9 @@ ], "text/plain": [ " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", - "p 6.389 1.284 4.276 8.802 0.047 0.034 783.0 1019.0 \n", - "q 3.787 0.297 3.277 4.356 0.010 0.007 864.0 1283.0 \n", - "v 16.110 4.268 8.624 24.030 0.156 0.111 727.0 1001.0 \n", + "p 4.850 0.793 3.426 6.234 0.025 0.018 1050.0 1226.0 \n", + "q 3.912 0.278 3.377 4.427 0.008 0.006 1206.0 1226.0 \n", + "v 23.373 5.288 14.026 33.460 0.167 0.118 998.0 957.0 \n", "\n", " r_hat \n", "p 1.0 \n", @@ -1839,7 +2020,7 @@ "v 1.0 " ] }, - "execution_count": 30, + "execution_count": 112, "metadata": {}, "output_type": "execute_result" } @@ -1850,13 +2031,13 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 114, "id": "8c53afb0", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -1892,21 +2073,21 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 116, "id": "00fca54a", "metadata": {}, "outputs": [], "source": [ "expected_spend = gg.expected_customer_spend(\n", - " customer_id=data.index,\n", - " mean_transaction_value=data[\"monetary_value\"],\n", - " frequency=data[\"frequency\"],\n", + " customer_id=rfm_data.index,\n", + " mean_transaction_value=rfm_data[\"monetary_value\"],\n", + " frequency=rfm_data[\"frequency\"],\n", ")" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 117, "id": "d3b123c1", "metadata": {}, "outputs": [ @@ -1939,94 +2120,94 @@ " \n", " \n", " \n", + " x[0]\n", + " 26.089\n", + " 0.448\n", + " 25.260\n", + " 26.907\n", + " \n", + " \n", " x[1]\n", - " 24.712\n", - " 0.508\n", - " 23.804\n", - " 25.664\n", + " 21.558\n", + " 1.368\n", + " 18.795\n", + " 23.915\n", " \n", " \n", " x[2]\n", - " 19.010\n", - " 1.306\n", - " 16.521\n", - " 21.328\n", + " 37.641\n", + " 0.901\n", + " 35.872\n", + " 39.206\n", " \n", " \n", " x[3]\n", - " 35.194\n", - " 0.916\n", - " 33.568\n", - " 37.015\n", + " 37.641\n", + " 0.901\n", + " 35.872\n", + " 39.206\n", " \n", " \n", " x[4]\n", - " 35.194\n", - " 0.916\n", - " 33.568\n", - " 37.015\n", + " 37.641\n", + " 0.901\n", + " 35.872\n", + " 39.206\n", " \n", " \n", " x[5]\n", - " 35.194\n", - " 0.916\n", - " 33.568\n", - " 37.015\n", + " 74.854\n", + " 0.369\n", + " 74.155\n", + " 75.523\n", " \n", " \n", " x[6]\n", - " 71.378\n", - " 0.608\n", - " 70.281\n", - " 72.508\n", + " 21.558\n", + " 1.368\n", + " 18.795\n", + " 23.915\n", " \n", " \n", " x[7]\n", - " 19.010\n", - " 1.306\n", - " 16.521\n", - " 21.328\n", + " 30.872\n", + " 0.624\n", + " 29.701\n", + " 32.027\n", " \n", " \n", " x[8]\n", - " 35.194\n", - " 0.916\n", - " 33.568\n", - " 37.015\n", + " 36.432\n", + " 0.154\n", + " 36.150\n", + " 36.728\n", " \n", " \n", " x[9]\n", - " 27.321\n", - " 0.389\n", - " 26.587\n", - " 28.014\n", - " \n", - " \n", - " x[10]\n", - " 35.194\n", - " 0.916\n", - " 33.568\n", - " 37.015\n", + " 37.641\n", + " 0.901\n", + " 35.872\n", + " 39.206\n", " \n", " \n", "\n", "" ], "text/plain": [ - " mean sd hdi_3% hdi_97%\n", - "x[1] 24.712 0.508 23.804 25.664\n", - "x[2] 19.010 1.306 16.521 21.328\n", - "x[3] 35.194 0.916 33.568 37.015\n", - "x[4] 35.194 0.916 33.568 37.015\n", - "x[5] 35.194 0.916 33.568 37.015\n", - "x[6] 71.378 0.608 70.281 72.508\n", - "x[7] 19.010 1.306 16.521 21.328\n", - "x[8] 35.194 0.916 33.568 37.015\n", - "x[9] 27.321 0.389 26.587 28.014\n", - "x[10] 35.194 0.916 33.568 37.015" + " mean sd hdi_3% hdi_97%\n", + "x[0] 26.089 0.448 25.260 26.907\n", + "x[1] 21.558 1.368 18.795 23.915\n", + "x[2] 37.641 0.901 35.872 39.206\n", + "x[3] 37.641 0.901 35.872 39.206\n", + "x[4] 37.641 0.901 35.872 39.206\n", + "x[5] 74.854 0.369 74.155 75.523\n", + "x[6] 21.558 1.368 18.795 23.915\n", + "x[7] 30.872 0.624 29.701 32.027\n", + "x[8] 36.432 0.154 36.150 36.728\n", + "x[9] 37.641 0.901 35.872 39.206" ] }, - "execution_count": 33, + "execution_count": 117, "metadata": {}, "output_type": "execute_result" } @@ -2037,13 +2218,13 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 118, "id": "7a7471f5", "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] @@ -2073,7 +2254,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 119, "id": "f8593742", "metadata": {}, "outputs": [ @@ -2107,10 +2288,10 @@ " \n", " \n", " x\n", - " 35.267\n", - " 0.623\n", - " 34.153\n", - " 36.486\n", + " 38.015\n", + " 0.567\n", + " 36.957\n", + " 39.056\n", " \n", " \n", "\n", @@ -2118,10 +2299,10 @@ ], "text/plain": [ " mean sd hdi_3% hdi_97%\n", - "x 35.267 0.623 34.153 36.486" + "x 38.015 0.567 36.957 39.056" ] }, - "execution_count": 35, + "execution_count": 119, "metadata": {}, "output_type": "execute_result" } @@ -2132,13 +2313,13 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 120, "id": "a5059bd2", "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] @@ -2168,13 +2349,13 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 121, "id": "cad44cc8", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -2213,18 +2394,18 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 122, "id": "0fa553da", "metadata": {}, "outputs": [], "source": [ "clv_estimate = gg.expected_customer_lifetime_value(\n", " transaction_model=bgm,\n", - " customer_id=data.index,\n", - " mean_transaction_value=data[\"monetary_value\"],\n", - " frequency=data[\"frequency\"],\n", - " recency=data[\"recency\"],\n", - " T=data[\"T\"],\n", + " customer_id=rfm_data.index,\n", + " mean_transaction_value=rfm_data[\"monetary_value\"],\n", + " frequency=rfm_data[\"frequency\"],\n", + " recency=rfm_data[\"recency\"],\n", + " T=rfm_data[\"T\"],\n", " time=12, # months\n", " discount_rate=0.01, # monthly discount rate ~ 12.7% annually\n", " freq=\"W\", # Our original data is in weeks\n", @@ -2233,7 +2414,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 123, "id": "1dc2fbc7", "metadata": {}, "outputs": [ @@ -2266,94 +2447,94 @@ " \n", " \n", " \n", + " x[0]\n", + " 29.193\n", + " 1.173\n", + " 26.959\n", + " 31.297\n", + " \n", + " \n", " x[1]\n", - " 36.038\n", - " 1.641\n", - " 33.019\n", - " 39.145\n", + " 3.103\n", + " 0.360\n", + " 2.478\n", + " 3.812\n", " \n", " \n", " x[2]\n", - " 4.865\n", - " 0.616\n", - " 3.735\n", - " 6.008\n", + " 5.623\n", + " 0.259\n", + " 5.134\n", + " 6.089\n", " \n", " \n", " x[3]\n", - " 8.419\n", - " 0.439\n", - " 7.655\n", - " 9.292\n", + " 5.623\n", + " 0.259\n", + " 5.134\n", + " 6.089\n", " \n", " \n", " x[4]\n", - " 8.419\n", - " 0.439\n", - " 7.655\n", - " 9.292\n", + " 5.623\n", + " 0.259\n", + " 5.134\n", + " 6.089\n", " \n", " \n", " x[5]\n", - " 8.419\n", - " 0.439\n", - " 7.655\n", - " 9.292\n", + " 500.482\n", + " 17.031\n", + " 468.056\n", + " 531.407\n", " \n", " \n", " x[6]\n", - " 267.894\n", - " 29.622\n", - " 211.979\n", - " 321.722\n", + " 4.081\n", + " 0.430\n", + " 3.339\n", + " 4.942\n", " \n", " \n", " x[7]\n", - " 7.150\n", - " 0.786\n", - " 5.720\n", - " 8.631\n", + " 16.215\n", + " 0.544\n", + " 15.222\n", + " 17.243\n", " \n", " \n", " x[8]\n", - " 8.419\n", - " 0.439\n", - " 7.655\n", - " 9.292\n", + " 46.849\n", + " 1.339\n", + " 44.244\n", + " 49.270\n", " \n", " \n", " x[9]\n", - " 43.025\n", - " 1.678\n", - " 39.876\n", - " 46.157\n", - " \n", - " \n", - " x[10]\n", - " 8.419\n", - " 0.439\n", - " 7.655\n", - " 9.292\n", + " 5.623\n", + " 0.259\n", + " 5.134\n", + " 6.089\n", " \n", " \n", "\n", "" ], "text/plain": [ - " mean sd hdi_3% hdi_97%\n", - "x[1] 36.038 1.641 33.019 39.145\n", - "x[2] 4.865 0.616 3.735 6.008\n", - "x[3] 8.419 0.439 7.655 9.292\n", - "x[4] 8.419 0.439 7.655 9.292\n", - "x[5] 8.419 0.439 7.655 9.292\n", - "x[6] 267.894 29.622 211.979 321.722\n", - "x[7] 7.150 0.786 5.720 8.631\n", - "x[8] 8.419 0.439 7.655 9.292\n", - "x[9] 43.025 1.678 39.876 46.157\n", - "x[10] 8.419 0.439 7.655 9.292" + " mean sd hdi_3% hdi_97%\n", + "x[0] 29.193 1.173 26.959 31.297\n", + "x[1] 3.103 0.360 2.478 3.812\n", + "x[2] 5.623 0.259 5.134 6.089\n", + "x[3] 5.623 0.259 5.134 6.089\n", + "x[4] 5.623 0.259 5.134 6.089\n", + "x[5] 500.482 17.031 468.056 531.407\n", + "x[6] 4.081 0.430 3.339 4.942\n", + "x[7] 16.215 0.544 15.222 17.243\n", + "x[8] 46.849 1.339 44.244 49.270\n", + "x[9] 5.623 0.259 5.134 6.089" ] }, - "execution_count": 39, + "execution_count": 123, "metadata": {}, "output_type": "execute_result" } @@ -2364,13 +2545,13 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 124, "id": "26636619", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -2403,7 +2584,7 @@ "metadata": { "hide_input": false, "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -2417,7 +2598,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.18" }, "toc": { "base_numbering": 1, diff --git a/pymc_marketing/clv/utils.py b/pymc_marketing/clv/utils.py index 092057309..806a1f312 100644 --- a/pymc_marketing/clv/utils.py +++ b/pymc_marketing/clv/utils.py @@ -1,3 +1,4 @@ +import warnings from datetime import datetime from typing import Optional, Union @@ -5,7 +6,7 @@ import pandas as pd import xarray -__all__ = ["to_xarray", "customer_lifetime_value", "clv_summary"] +__all__ = ["to_xarray", "customer_lifetime_value", "rfm_summary"] def to_xarray(customer_id, *arrays, dim: str = "customer_id"): @@ -142,6 +143,7 @@ def _find_first_transactions( datetime_format: Optional[str] = None, observation_period_end: Optional[Union[str, pd.Period, datetime]] = None, time_unit: str = "D", + sort_transactions: Optional[bool] = True, ) -> pd.DataFrame: """ Return dataframe with first transactions. @@ -175,6 +177,9 @@ def _find_first_transactions( Time granularity for study. Default: 'D' for days. Possible values listed here: https://numpy.org/devdocs/reference/arrays.datetime.html#datetime-units + sort_transactions: bool, optional + Default: True + If raw data is already sorted in chronological order, set to `False` to improve computational efficiency. """ select_columns = [customer_id_col, datetime_col] @@ -190,7 +195,8 @@ def _find_first_transactions( if monetary_value_col: select_columns.append(monetary_value_col) - transactions = transactions[select_columns].sort_values(select_columns).copy() + if sort_transactions: + transactions = transactions[select_columns].sort_values(select_columns).copy() # convert date column into a DateTimeIndex for time-wise grouping and truncating transactions[datetime_col] = pd.to_datetime( @@ -236,7 +242,12 @@ def _find_first_transactions( return period_transactions[select_columns] -def clv_summary( +def clv_summary(*args, **kwargs): + warnings.warn("clv_summary was renamed to rfm_summary", UserWarning) + return rfm_summary(*args, **kwargs) + + +def rfm_summary( transactions: pd.DataFrame, customer_id_col: str, datetime_col: str, @@ -244,10 +255,12 @@ def clv_summary( datetime_format: Optional[str] = None, observation_period_end: Optional[Union[str, pd.Period, datetime]] = None, time_unit: str = "D", - time_scaler: float = 1, + time_scaler: Optional[float] = 1, + include_first_transaction: Optional[bool] = False, + sort_transactions: Optional[bool] = True, ) -> pd.DataFrame: """ - Summarize transaction data for modeling. + Summarize transaction data for use in CLV modeling and/or RFM segmentation. This transforms a DataFrame of transaction data of the form: customer_id, datetime [, monetary_value] @@ -284,6 +297,13 @@ def clv_summary( With freq='h' and freq_multiplier=24, we get recency=590.125 and T=631.375 This is useful if predictions in a different time granularity are desired, and can also help with model convergence for study periods of many years. + include_first_transaction: bool, optional + Default: False + For predictive CLV modeling, this should be False. + Set to True if performing RFM segmentation. + sort_transactions: bool, optional + Default: True + If raw data is already sorted in chronological order, set to `False` to improve computational efficiency. Returns ------- @@ -307,7 +327,7 @@ def clv_summary( ) # label repeated transactions - repeated_transactions = _find_first_transactions( + repeated_transactions = _find_first_transactions( # type: ignore transactions, customer_id_col, datetime_col, @@ -315,6 +335,7 @@ def clv_summary( datetime_format, observation_period_end_ts, time_unit, + sort_transactions, ) # reset datetime_col to timestamp repeated_transactions[datetime_col] = repeated_transactions[ @@ -326,8 +347,11 @@ def clv_summary( datetime_col ].agg(["min", "max", "count"]) - # subtract 1 from count for non-repeat customers - customers["frequency"] = customers["count"] - 1 + if not include_first_transaction: + # subtract 1 from count, as we ignore their first order. + customers["frequency"] = customers["count"] - 1 + else: + customers["frequency"] = customers["count"] customers["T"] = ( (observation_period_end_ts - customers["min"]) @@ -335,7 +359,7 @@ def clv_summary( / time_scaler ) customers["recency"] = ( - (pd.to_datetime(customers["max"]) - pd.to_datetime(customers["min"])) + (pd.to_datetime(customers["max"]) - pd.to_datetime(customers["min"])) # type: ignore / np.timedelta64(1, time_unit) / time_scaler ) @@ -343,11 +367,14 @@ def clv_summary( summary_columns = ["frequency", "recency", "T"] if monetary_value_col: - # create an index of first purchases - first_purchases = repeated_transactions[repeated_transactions["first"]].index - # Exclude first purchases from the mean value calculation, - # by setting as null, then imputing with zero - repeated_transactions.loc[first_purchases, monetary_value_col] = np.nan + if not include_first_transaction: + # create an index of all the first purchases + first_purchases = repeated_transactions[ + repeated_transactions["first"] + ].index + # by setting the monetary_value cells of all the first purchases to NaN, + # those values will be excluded from the mean value calculation + repeated_transactions.loc[first_purchases, monetary_value_col] = np.nan customers["monetary_value"] = ( repeated_transactions.groupby(customer_id_col)[monetary_value_col] .mean() @@ -356,5 +383,8 @@ def clv_summary( summary_columns.append("monetary_value") summary_df = customers[summary_columns].astype(float) + summary_df = summary_df.reset_index().rename( + columns={customer_id_col: "customer_id"} + ) - return summary_df.reset_index() + return summary_df diff --git a/tests/clv/test_utils.py b/tests/clv/test_utils.py index 3dd4a2376..d41eae185 100644 --- a/tests/clv/test_utils.py +++ b/tests/clv/test_utils.py @@ -12,6 +12,7 @@ _find_first_transactions, clv_summary, customer_lifetime_value, + rfm_summary, to_xarray, ) @@ -335,7 +336,10 @@ def test_find_first_transactions_returns_correct_results(transaction_data, today # https://github.com/CamDavidsonPilon/lifetimes/blob/aae339c5437ec31717309ba0ec394427e19753c4/tests/test_utils.py#L137 actual = _find_first_transactions( - transaction_data, "id", "date", observation_period_end=today + transaction_data, + "id", + "date", + observation_period_end=today, ) expected = pd.DataFrame( [ @@ -472,11 +476,11 @@ def test_find_first_transactions_with_monetary_values_with_specific_non_daily_fr argvalues=["2015-02-07", pd.Period("2015-02-07"), datetime(2015, 2, 7)], ids=["string", "period", "datetime"], ) -def test_clv_summary_returns_correct_results(transaction_data, today): +def test_rfm_summary_returns_correct_results(transaction_data, today): # Test borrowed from # https://github.com/CamDavidsonPilon/lifetimes/blob/aae339c5437ec31717309ba0ec394427e19753c4/tests/test_utils.py#L239 - actual = clv_summary(transaction_data, "id", "date", observation_period_end=today) + actual = rfm_summary(transaction_data, "id", "date", observation_period_end=today) expected = pd.DataFrame( [ [1, 1.0, 36.0, 37.0], @@ -486,12 +490,12 @@ def test_clv_summary_returns_correct_results(transaction_data, today): [5, 2.0, 2.0, 22.0], [6, 0.0, 0.0, 5.0], ], - columns=["id", "frequency", "recency", "T"], + columns=["customer_id", "frequency", "recency", "T"], ) assert_frame_equal(actual, expected) -def test_clv_summary_works_with_string_customer_ids(): +def test_rfm_summary_works_with_string_customer_ids(): # Test borrowed from # https://github.com/CamDavidsonPilon/lifetimes/blob/aae339c5437ec31717309ba0ec394427e19753c4/tests/test_utils.py#L250 @@ -504,10 +508,10 @@ def test_clv_summary_works_with_string_customer_ids(): ["Y", "2015-01-05"], ] df = pd.DataFrame(d, columns=["id", "date"]) - clv_summary(df, "id", "date") + rfm_summary(df, "id", "date") -def test_clv_summary_works_with_int_customer_ids_and_doesnt_coerce_to_float(): +def test_rfm_summary_works_with_int_customer_ids_and_doesnt_coerce_to_float(): # Test borrowed from # https://github.com/CamDavidsonPilon/lifetimes/blob/aae339c5437ec31717309ba0ec394427e19753c4/tests/test_utils.py#L263 @@ -520,11 +524,11 @@ def test_clv_summary_works_with_int_customer_ids_and_doesnt_coerce_to_float(): [2, "2015-01-05"], ] df = pd.DataFrame(d, columns=["id", "date"]) - actual = clv_summary(df, "id", "date") + actual = rfm_summary(df, "id", "date") assert actual.index.dtype == "int64" -def test_clv_summary_with_specific_datetime_format( +def test_rfm_summary_with_specific_datetime_format( transaction_data, ): # Test borrowed from @@ -535,12 +539,13 @@ def test_clv_summary_with_specific_datetime_format( ) format = "%Y%m%d" today = "20150207" - actual = clv_summary( + actual = rfm_summary( transaction_data, "id", "date", observation_period_end=today, datetime_format=format, + sort_transactions=False, ) expected = pd.DataFrame( [ @@ -551,19 +556,19 @@ def test_clv_summary_with_specific_datetime_format( [5, 2.0, 2.0, 22.0], [6, 0.0, 0.0, 5.0], ], - columns=["id", "frequency", "recency", "T"], + columns=["customer_id", "frequency", "recency", "T"], ) assert_frame_equal(actual, expected) -def test_summary_date_from_transaction_data_with_specific_non_daily_frequency( +def test_rfm_summary_non_daily_frequency( transaction_data, ): # Test borrowed from # https://github.com/CamDavidsonPilon/lifetimes/blob/aae339c5437ec31717309ba0ec394427e19753c4/tests/test_utils.py#L292 today = "20150207" - actual = clv_summary( + actual = rfm_summary( transaction_data, "id", "date", @@ -579,19 +584,19 @@ def test_summary_date_from_transaction_data_with_specific_non_daily_frequency( [5, 0.0, 0.0, 3.0], [6, 0.0, 0.0, 0.0], ], - columns=["id", "frequency", "recency", "T"], + columns=["customer_id", "frequency", "recency", "T"], ) assert_frame_equal(actual, expected) -def test_summary_date_from_transaction_with_monetary_values( +def test_rfm_summary_monetary_values_and_first_transactions( transaction_data, ): # Test borrowed from # https://github.com/CamDavidsonPilon/lifetimes/blob/aae339c5437ec31717309ba0ec394427e19753c4/tests/test_utils.py#L311 today = "20150207" - actual = clv_summary( + actual = rfm_summary( transaction_data, "id", "date", @@ -607,12 +612,33 @@ def test_summary_date_from_transaction_with_monetary_values( [5, 2.0, 2.0, 22.0, 4.5], [6, 0.0, 0.0, 5.0, 0], ], - columns=["id", "frequency", "recency", "T", "monetary_value"], + columns=["customer_id", "frequency", "recency", "T", "monetary_value"], ) assert_frame_equal(actual, expected) + actual_first_trans = rfm_summary( + transaction_data, + "id", + "date", + monetary_value_col="monetary_value", + observation_period_end=today, + include_first_transaction=True, + ) + expected_first_trans = pd.DataFrame( + [ + [1, 2.0, 36.0, 37.0, 1.5], + [2, 1.0, 0.0, 37.0, 2], + [3, 3.0, 4.0, 37.0, 3], + [4, 3.0, 20.0, 22.0, 4], + [5, 3.0, 2.0, 22.0, 4], + [6, 1.0, 0.0, 5.0, 5], + ], + columns=["customer_id", "frequency", "recency", "T", "monetary_value"], + ) + assert_frame_equal(actual_first_trans, expected_first_trans) + -def test_clv_summary_will_choose_the_correct_first_order_to_drop_in_monetary_transactions(): +def test_rfm_summary_will_choose_the_correct_first_order_to_drop_in_monetary_transactions(): # Test borrowed from # https://github.com/CamDavidsonPilon/lifetimes/blob/aae339c5437ec31717309ba0ec394427e19753c4/tests/test_utils.py#L334 @@ -622,7 +648,7 @@ def test_clv_summary_will_choose_the_correct_first_order_to_drop_in_monetary_tra ) sales = pd.Series([10, 20, 25]) transaction_data = pd.DataFrame({"date": dates_ordered, "id": cust, "sales": sales}) - summary_ordered_data = clv_summary(transaction_data, "id", "date", "sales") + summary_ordered_data = rfm_summary(transaction_data, "id", "date", "sales") dates_unordered = pd.to_datetime( pd.Series(["2014-04-09 00:00:00", "2014-03-14 00:00:00", "2014-05-21 00:00:00"]) @@ -631,13 +657,13 @@ def test_clv_summary_will_choose_the_correct_first_order_to_drop_in_monetary_tra transaction_data = pd.DataFrame( {"date": dates_unordered, "id": cust, "sales": sales} ) - summary_unordered_data = clv_summary(transaction_data, "id", "date", "sales") + summary_unordered_data = rfm_summary(transaction_data, "id", "date", "sales") assert_frame_equal(summary_ordered_data, summary_unordered_data) assert summary_ordered_data["monetary_value"].loc[0] == 22.5 -def test_summary_statistics_are_identical_to_hardie_paper_confirming_correct_aggregations( +def test_rfm_summary_statistics_identical_to_hardie_paper( cdnow_trans, ): # Test borrowed from @@ -645,7 +671,7 @@ def test_summary_statistics_are_identical_to_hardie_paper_confirming_correct_agg # see http://brucehardie.com/papers/rfm_clv_2005-02-16.pdf # RFM and CLV: Using Iso-value Curves for Customer Base Analysis - summary = clv_summary( + summary = rfm_summary( cdnow_trans, "id", "date", @@ -661,3 +687,8 @@ def test_summary_statistics_are_identical_to_hardie_paper_confirming_correct_agg assert np.round(results.loc["50%"]) == 27 assert np.round(results.loc["max"]) == 300 assert np.round(results.loc["count"]) == 946 + + +def test_clv_summary_warning(transaction_data): + with pytest.warns(UserWarning, match="clv_summary was renamed to rfm_summary"): + clv_summary(transaction_data, "id", "date") diff --git a/tests/conftest.py b/tests/conftest.py index 1f8a3bda3..7c01b7699 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -29,4 +29,4 @@ def cdnow_trans() -> pd.DataFrame: Data source: https://www.brucehardie.com/datasets/ """ - return pd.read_csv("tests/clv/datasets/cdnow_transactions.csv") + return pd.read_csv("datasets/cdnow_transactions.csv") From a979839fef7e4f713a34b1cd57dd080d4fba3633 Mon Sep 17 00:00:00 2001 From: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com> Date: Mon, 15 Jan 2024 09:51:41 +0100 Subject: [PATCH 18/40] Update version.txt --- pymc_marketing/version.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pymc_marketing/version.txt b/pymc_marketing/version.txt index d15723fbe..1c09c74e2 100644 --- a/pymc_marketing/version.txt +++ b/pymc_marketing/version.txt @@ -1 +1 @@ -0.3.2 +0.3.3 From def644f39f0735a36ac8ebc5c04eb6682c8eee28 Mon Sep 17 00:00:00 2001 From: juanitorduz Date: Mon, 15 Jan 2024 21:43:33 +0100 Subject: [PATCH 19/40] improve ruff --- pymc_marketing/mmm/base.py | 8 ++++---- pymc_marketing/mmm/delayed_saturated_mmm.py | 2 +- pymc_marketing/mmm/transformers.py | 2 +- pyproject.toml | 12 +++++------- 4 files changed, 11 insertions(+), 13 deletions(-) diff --git a/pymc_marketing/mmm/base.py b/pymc_marketing/mmm/base.py index e2241bd11..70718f2ac 100644 --- a/pymc_marketing/mmm/base.py +++ b/pymc_marketing/mmm/base.py @@ -332,7 +332,7 @@ def plot_posterior_predictive( y2=likelihood_hdi_94[:, 1], color="C0", alpha=0.2, - label="$94\%$ HDI", + label="$94\%$ HDI", # noqa: W605 ) ax.fill_between( @@ -341,7 +341,7 @@ def plot_posterior_predictive( y2=likelihood_hdi_50[:, 1], color="C0", alpha=0.3, - label="$50\%$ HDI", + label="$50\%$ HDI", # noqa: W605 ) target_to_plot: np.ndarray = np.asarray( @@ -414,7 +414,7 @@ def plot_components_contributions(self, **plt_kwargs: Any) -> plt.Figure: y2=hdi.isel(hdi=1), color=f"C{i}", alpha=0.25, - label=f"$94\%$ HDI ({var_contribution})", + label=f"$94\%$ HDI ({var_contribution})", # noqa: W605 ) ax.plot( np.asarray(self.X[self.date_column]), @@ -441,7 +441,7 @@ def plot_components_contributions(self, **plt_kwargs: Any) -> plt.Figure: y2=intercept_hdi[:, 1], color=f"C{i + 1}", alpha=0.25, - label="$94\%$ HDI (intercept)", + label="$94\%$ HDI (intercept)", # noqa: W605 ) ax.plot( np.asarray(self.X[self.date_column]), diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index efff043e9..dfcea2462 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -783,7 +783,7 @@ def plot_channel_contributions_grid( y1=hdi_contribution[:, 0], y2=hdi_contribution[:, 1], color=f"C{i}", - label=f"{channel} $94\%$ HDI contribution", + label=f"{channel} $94\%$ HDI contribution", # noqa: W605 alpha=0.4, ) diff --git a/pymc_marketing/mmm/transformers.py b/pymc_marketing/mmm/transformers.py index 5f55704d9..afc388310 100644 --- a/pymc_marketing/mmm/transformers.py +++ b/pymc_marketing/mmm/transformers.py @@ -298,7 +298,7 @@ def logistic_saturation(x, lam: Union[npt.NDArray[np.float_], float] = 0.5): ------- tensor Transformed tensor. - """ + """ # noqa: W605 return (1 - pt.exp(-lam * x)) / (1 + pt.exp(-lam * x)) diff --git a/pyproject.toml b/pyproject.toml index e790db9e8..7bd7f4e67 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,12 +37,7 @@ docs = [ "sphinx-notfound-page", "sphinx-design", ] -lint = [ - "mypy", - "pandas-stubs", - "pre-commit>=2.19.0", - "ruff>=0.1.4", -] +lint = ["mypy", "pandas-stubs", "pre-commit>=2.19.0", "ruff>=0.1.4"] test = ["lifetimes==0.11.3", "pytest==7.0.1", "pytest-cov==3.0.0"] [tool.setuptools] @@ -64,7 +59,10 @@ repository = "https://github.com/pymc-labs/pymc-marketing" #changelog = "" [tool.ruff.lint] -select = ["E4", "E7", "E9", "F", "I"] +select = ["E", "F", "I", "W"] +ignore = [ + "E501", # Line too long +] [tool.pytest.ini_options] addopts = [ From 8f271de9e6ac90ff9bf2d8ca86ffa6b04b78886e Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 22 Jan 2024 16:28:03 +0000 Subject: [PATCH 20/40] [pre-commit.ci] pre-commit autoupdate MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit updates: - [github.com/astral-sh/ruff-pre-commit: v0.1.11 → v0.1.14](https://github.com/astral-sh/ruff-pre-commit/compare/v0.1.11...v0.1.14) - [github.com/pre-commit/pre-commit-hooks: v3.2.0 → v4.5.0](https://github.com/pre-commit/pre-commit-hooks/compare/v3.2.0...v4.5.0) --- .pre-commit-config.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 32bdb22e7..96172c133 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -12,7 +12,7 @@ ci: repos: - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.1.11 + rev: v0.1.14 hooks: - id: ruff args: ["--fix", "--show-source"] @@ -25,7 +25,7 @@ repos: files: ^pymc_marketing/ additional_dependencies: [numpy>=1.20, pandas-stubs] - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v3.2.0 + rev: v4.5.0 hooks: - id: debug-statements - id: trailing-whitespace From e6bbed98e3eba187089847cceef10bb7d63d7bb1 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sat, 27 Jan 2024 19:29:03 +0100 Subject: [PATCH 21/40] resolve conflict --- pymc_marketing/mmm/base.py | 8 +- pymc_marketing/mmm/delayed_saturated_mmm.py | 133 +++++++++++++-- pymc_marketing/mmm/utils.py | 41 ++++- pymc_marketing/model_builder.py | 16 +- tests/mmm/test_delayed_saturated_mmm.py | 172 ++++++++++++++++++-- tests/mmm/test_utils.py | 62 +++++++ tests/model_builder/test_model_builder.py | 35 +++- 7 files changed, 419 insertions(+), 48 deletions(-) diff --git a/pymc_marketing/mmm/base.py b/pymc_marketing/mmm/base.py index 70718f2ac..dca10c2fb 100644 --- a/pymc_marketing/mmm/base.py +++ b/pymc_marketing/mmm/base.py @@ -265,10 +265,10 @@ def plot_prior_predictive( prior_predictive_data: az.InferenceData = self.prior_predictive likelihood_hdi_94: DataArray = az.hdi(ary=prior_predictive_data, hdi_prob=0.94)[ - "likelihood" + self.output_var ] likelihood_hdi_50: DataArray = az.hdi(ary=prior_predictive_data, hdi_prob=0.50)[ - "likelihood" + self.output_var ] fig, ax = plt.subplots(**plt_kwargs) @@ -311,10 +311,10 @@ def plot_posterior_predictive( posterior_predictive_data: Dataset = self.posterior_predictive likelihood_hdi_94: DataArray = az.hdi( ary=posterior_predictive_data, hdi_prob=0.94 - )["likelihood"] + )[self.output_var] likelihood_hdi_50: DataArray = az.hdi( ary=posterior_predictive_data, hdi_prob=0.50 - )["likelihood"] + )[self.output_var] if original_scale: likelihood_hdi_94 = self.get_target_transformer().inverse_transform( diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index dfcea2462..fa1bc19b4 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -15,7 +15,10 @@ from pymc_marketing.mmm.base import MMM from pymc_marketing.mmm.preprocessing import MaxAbsScaleChannels, MaxAbsScaleTarget from pymc_marketing.mmm.transformers import geometric_adstock, logistic_saturation -from pymc_marketing.mmm.utils import generate_fourier_modes +from pymc_marketing.mmm.utils import ( + apply_sklearn_transformer_across_date, + generate_fourier_modes, +) from pymc_marketing.mmm.validating import ValidateControlColumns __all__ = ["DelayedSaturatedMMM"] @@ -100,8 +103,11 @@ def _generate_and_preprocess_model_data( # type: ignore """ date_data = X[self.date_column] channel_data = X[self.channel_columns] - coords: Dict[str, Any] = { + + self.coords_mutable: Dict[str, Any] = { "date": date_data, + } + coords: Dict[str, Any] = { "channel": self.channel_columns, } @@ -234,7 +240,7 @@ def _create_likelihood_distribution( likelihood_dist = self._get_distribution(dist={"dist": likelihood_dist_name}) return likelihood_dist( - name="likelihood", + name=self.output_var, mu=mu, observed=observed, dims=dims, @@ -315,7 +321,10 @@ def build_model( ) self._generate_and_preprocess_model_data(X, y) - with pm.Model(coords=self.model_coords) as self.model: + with pm.Model( + coords=self.model_coords, + coords_mutable=self.coords_mutable, + ) as self.model: channel_data_ = pm.MutableData( name="channel_data", value=self.preprocessed_data["X"][self.channel_columns], @@ -611,19 +620,42 @@ def _data_setter( ------- None """ + if not isinstance(X, pd.DataFrame): + msg = "X must be a pandas DataFrame in order to access the columns" + raise TypeError(msg) + new_channel_data: Optional[np.ndarray] = None + coords = {"date": X[self.date_column].to_numpy()} - if isinstance(X, pd.DataFrame): - try: - new_channel_data = X[self.channel_columns].to_numpy() - except KeyError as e: - raise RuntimeError("New data must contain channel_data!", e) - elif isinstance(X, np.ndarray): - new_channel_data = X - else: - raise TypeError("X must be either a pandas DataFrame or a numpy array") + try: + new_channel_data = X[self.channel_columns].to_numpy() + except KeyError as e: + raise RuntimeError("New data must contain channel_data!", e) - data: Dict[str, Union[np.ndarray, Any]] = {"channel_data": new_channel_data} + def identity(x): + return x + + channel_transformation = ( + identity + if not hasattr(self, "channel_transformer") + else self.channel_transformer.transform + ) + + data: Dict[str, Union[np.ndarray, Any]] = { + "channel_data": channel_transformation(new_channel_data) + } + + if self.control_columns is not None: + control_data = X[self.control_columns].to_numpy() + control_transformation = ( + identity + if not hasattr(self, "control_transformer") + else self.control_transformer.transform + ) + data["control_data"] = control_transformation(control_data) + + if hasattr(self, "fourier_columns"): + data["fourier_data"] = self._get_fourier_models_data(X) if y is not None: if isinstance(y, pd.Series): @@ -634,9 +666,12 @@ def _data_setter( data["target"] = y else: raise TypeError("y must be either a pandas Series or a numpy array") + else: + dtype = self.preprocessed_data["y"].dtype # type: ignore + data["target"] = np.zeros(X.shape[0], dtype=dtype) # type: ignore with self.model: - pm.set_data(data) + pm.set_data(data, coords=coords) @classmethod def _model_config_formatting(cls, model_config: Dict) -> Dict: @@ -993,3 +1028,71 @@ def identity(x): title=f"Upcoming sales for {amount_spent:.02f} spend", ) return ax + + def _validate_data(self, X, y=None): + return X + + def sample_posterior_predictive( + self, + X_pred, + extend_idata: bool = True, + combined: bool = True, + include_last_observations: bool = False, + original_scale: bool = True, + **sample_posterior_predictive_kwargs, + ): + """ + Sample from the model's posterior predictive distribution. + + Parameters + --------- + X_pred : array, shape (n_pred, n_features) + The input data used for prediction. + extend_idata : Boolean determining whether the predictions should be added to inference data object. + Defaults to True. + combined: Combine chain and draw dims into sample. Won't work if a dim named sample already exists. + Defaults to True. + include_last_observations: Boolean determining whether to include the last observations of the training + data in order to carry over costs with the adstock transformation. + Assumes that X_pred are the next predictions following the training data. + Defaults to False. + original_scale: Boolean determining whether to return the predictions in the original scale of the target variable. + Defaults to True. + **sample_posterior_predictive_kwargs: Additional arguments to pass to pymc.sample_posterior_predictive + + Returns + ------- + posterior_predictive_samples : DataArray, shape (n_pred, samples) + Posterior predictive samples for each input X_pred + """ + if include_last_observations: + X_pred = pd.concat( + [self.X.iloc[-self.adstock_max_lag :, :], X_pred], axis=0 + ).sort_values(by=self.date_column) + + self._data_setter(X_pred) + + with self.model: # sample with new input data + post_pred = pm.sample_posterior_predictive( + self.idata, **sample_posterior_predictive_kwargs + ) + if extend_idata: + self.idata.extend(post_pred, join="right") # type: ignore + + posterior_predictive_samples = az.extract( + post_pred, "posterior_predictive", combined=combined + ) + + if include_last_observations: + posterior_predictive_samples = posterior_predictive_samples.isel( + date=slice(self.adstock_max_lag, None) + ) + + if original_scale: + posterior_predictive_samples = apply_sklearn_transformer_across_date( + data=posterior_predictive_samples, + func=self.get_target_transformer().inverse_transform, + combined=combined, + ) + + return posterior_predictive_samples diff --git a/pymc_marketing/mmm/utils.py b/pymc_marketing/mmm/utils.py index 88ffbe4de..c9a635031 100644 --- a/pymc_marketing/mmm/utils.py +++ b/pymc_marketing/mmm/utils.py @@ -1,5 +1,5 @@ import re -from typing import Any, Dict, List, Tuple, Union +from typing import Any, Callable, Dict, List, Tuple, Union import numpy as np import numpy.typing as npt @@ -287,3 +287,42 @@ def standardize_scenarios_dict_keys(d: Dict, keywords: List[str]): if re.search(keyword, key, re.IGNORECASE): d[keyword] = d.pop(key) break + + +def apply_sklearn_transformer_across_date( + data: xr.DataArray, + func: Callable[[np.ndarray], np.ndarray], + combined: bool = False, +) -> xr.DataArray: + """Helper function in order to use scikit-learn functions with the xarray target. + + Parameters + ---------- + data : + func : scikit-learn method to apply to the data + combined : Flag to indicate if the data coords have been combined or not + + Returns + ------- + xr.DataArray + """ + # These are lost during the ufunc + attrs = data.attrs + + if combined: + data = xr.apply_ufunc( + func, + data, + ) + else: + data = xr.apply_ufunc( + func, + data.expand_dims(dim={"_": 1}, axis=1), + input_core_dims=[["date", "_"]], + output_core_dims=[["date", "_"]], + vectorize=True, + ).squeeze(dim="_") + + data.attrs = attrs + + return data diff --git a/pymc_marketing/model_builder.py b/pymc_marketing/model_builder.py index b846d7fe4..d90a175ce 100644 --- a/pymc_marketing/model_builder.py +++ b/pymc_marketing/model_builder.py @@ -505,7 +505,7 @@ def predict( The input data used for prediction. extend_idata : Boolean determining whether the predictions should be added to inference data object. Defaults to True. - **kwargs: Additional arguments to pass to pymc.sample_posterior_predictive + **kwargs: Additional arguments to pass to sample_posterior_predictive method Returns ------- @@ -582,7 +582,7 @@ def sample_prior_predictive( self.set_idata_attrs(prior_pred) if extend_idata: if self.idata is not None: - self.idata.extend(prior_pred) + self.idata.extend(prior_pred, join="right") else: self.idata = prior_pred @@ -592,7 +592,9 @@ def sample_prior_predictive( return prior_predictive_samples - def sample_posterior_predictive(self, X_pred, extend_idata, combined, **kwargs): + def sample_posterior_predictive( + self, X_pred, extend_idata: bool = True, combined: bool = True, **kwargs + ): """ Sample from the model's posterior predictive distribution. @@ -601,7 +603,7 @@ def sample_posterior_predictive(self, X_pred, extend_idata, combined, **kwargs): X_pred : array, shape (n_pred, n_features) The input data used for prediction using prior distribution.. extend_idata : Boolean determining whether the predictions should be added to inference data object. - Defaults to False. + Defaults to True. combined: Combine chain and draw dims into sample. Won't work if a dim named sample already exists. Defaults to True. **kwargs: Additional arguments to pass to pymc.sample_posterior_predictive @@ -613,10 +615,10 @@ def sample_posterior_predictive(self, X_pred, extend_idata, combined, **kwargs): """ self._data_setter(X_pred) - with self.model: # sample with new input data + with self.model: # type: ignore post_pred = pm.sample_posterior_predictive(self.idata, **kwargs) if extend_idata: - self.idata.extend(post_pred) + self.idata.extend(post_pred, join="right") # type: ignore posterior_predictive_samples = az.extract( post_pred, "posterior_predictive", combined=combined @@ -681,7 +683,7 @@ def predict_posterior( Defaults to True. combined: Combine chain and draw dims into sample. Won't work if a dim named sample already exists. Defaults to True. - **kwargs: Additional arguments to pass to pymc.sample_posterior_predictive + **kwargs: Additional arguments to pass to sample_posterior_predictive method Returns ------- diff --git a/tests/mmm/test_delayed_saturated_mmm.py b/tests/mmm/test_delayed_saturated_mmm.py index c7d005c5e..ef2e6864c 100644 --- a/tests/mmm/test_delayed_saturated_mmm.py +++ b/tests/mmm/test_delayed_saturated_mmm.py @@ -18,24 +18,32 @@ @pytest.fixture(scope="class") -def toy_X() -> pd.DataFrame: +def generate_data(): + def _generate_data(date_data: pd.DatetimeIndex) -> pd.DataFrame: + n: int = date_data.size + + return pd.DataFrame( + data={ + "date": date_data, + "channel_1": rng.integers(low=0, high=400, size=n), + "channel_2": rng.integers(low=0, high=50, size=n), + "control_1": rng.gamma(shape=1000, scale=500, size=n), + "control_2": rng.gamma(shape=100, scale=5, size=n), + "other_column_1": rng.integers(low=0, high=100, size=n), + "other_column_2": rng.normal(loc=0, scale=1, size=n), + } + ) + + return _generate_data + + +@pytest.fixture(scope="class") +def toy_X(generate_data) -> pd.DataFrame: date_data: pd.DatetimeIndex = pd.date_range( start="2019-06-01", end="2021-12-31", freq="W-MON" ) - n: int = date_data.size - - return pd.DataFrame( - data={ - "date": date_data, - "channel_1": rng.integers(low=0, high=400, size=n), - "channel_2": rng.integers(low=0, high=50, size=n), - "control_1": rng.gamma(shape=1000, scale=500, size=n), - "control_2": rng.gamma(shape=100, scale=5, size=n), - "other_column_1": rng.integers(low=0, high=100, size=n), - "other_column_2": rng.normal(loc=0, scale=1, size=n), - } - ) + return generate_data(date_data) @pytest.fixture(scope="class") @@ -87,6 +95,17 @@ def mmm() -> DelayedSaturatedMMM: ) +@pytest.fixture(scope="class") +def mmm_with_fourier_features() -> DelayedSaturatedMMM: + return DelayedSaturatedMMM( + date_column="date", + channel_columns=["channel_1", "channel_2"], + adstock_max_lag=4, + control_columns=["control_1", "control_2"], + yearly_seasonality=2, + ) + + @pytest.fixture(scope="class") def mmm_fitted( mmm: DelayedSaturatedMMM, toy_X: pd.DataFrame, toy_y: pd.Series @@ -95,6 +114,18 @@ def mmm_fitted( return mmm +@pytest.fixture(scope="class") +def mmm_fitted_with_fourier_features( + mmm_with_fourier_features: DelayedSaturatedMMM, + toy_X: pd.DataFrame, + toy_y: pd.Series, +) -> DelayedSaturatedMMM: + mmm_with_fourier_features.fit( + X=toy_X, y=toy_y, target_accept=0.8, draws=3, chains=2 + ) + return mmm_with_fourier_features + + class TestDelayedSaturatedMMM: def test_save_load_with_not_serializable_model_config( self, model_config_requiring_serialization, toy_X, toy_y @@ -455,7 +486,7 @@ def test_data_setter(self, toy_X, toy_y): with pytest.raises(TypeError): base_delayed_saturated_mmm._data_setter(toy_X, y_incorrect) - with pytest.raises(RuntimeError): + with pytest.raises(KeyError): X_wrong_df = pd.DataFrame( {"column1": np.random.rand(135), "column2": np.random.rand(135)} ) @@ -466,12 +497,10 @@ def test_data_setter(self, toy_X, toy_y): except Exception as e: pytest.fail(f"_data_setter failed with error {e}") - try: + with pytest.raises(TypeError, match="X must be a pandas DataFrame"): base_delayed_saturated_mmm._data_setter( X_correct_ndarray, y_correct_ndarray ) - except Exception as e: - pytest.fail(f"_data_setter failed with error {e}") def test_save_load(self, mmm_fitted): model = mmm_fitted @@ -580,6 +609,113 @@ def test_model_config( ) # beta_channel +def new_date_ranges_to_test(): + yield from [ + # 2021-12-31 is the last date in the toy data + # Old and New dates + pd.date_range("2021-11-01", "2022-03-01", freq="W-MON"), + # Only old dates + pd.date_range("2019-06-01", "2021-12-31", freq="W-MON"), + # Only new dates + pd.date_range("2022-01-01", "2022-03-01", freq="W-MON"), + # Less than the adstock_max_lag (4) of the model + pd.date_range("2022-01-01", freq="W-MON", periods=1), + ] + + +@pytest.mark.parametrize( + "model_name", ["mmm_fitted", "mmm_fitted_with_fourier_features"] +) +@pytest.mark.parametrize( + "new_dates", + new_date_ranges_to_test(), +) +@pytest.mark.parametrize("combined", [True, False]) +@pytest.mark.parametrize("original_scale", [True, False]) +def test_new_data_sample_posterior_predictive_method( + generate_data, + toy_X, + model_name: str, + new_dates: pd.DatetimeIndex, + combined: bool, + original_scale: bool, + request, +) -> None: + """This is the method that is used in all the other methods that generate predictions.""" + mmm = request.getfixturevalue(model_name) + X_pred = generate_data(new_dates) + + posterior_predictive = mmm.sample_posterior_predictive( + X_pred=X_pred, + extend_idata=False, + combined=combined, + original_scale=original_scale, + ) + pd.testing.assert_index_equal( + pd.DatetimeIndex(posterior_predictive.coords["date"]), + new_dates, + ) + + +@pytest.mark.parametrize( + "model_name", ["mmm_fitted", "mmm_fitted_with_fourier_features"] +) +@pytest.mark.parametrize( + "new_dates", + [pd.date_range("2022-01-01", "2022-03-01", freq="W-MON")], +) +def test_new_data_include_last_observation_same_dims( + generate_data, + model_name: str, + new_dates: pd.DatetimeIndex, + request, +) -> None: + mmm = request.getfixturevalue(model_name) + X_pred = generate_data(new_dates) + + pp_without = mmm.predict_posterior( + X_pred, + include_last_observations=False, + ) + pp_with = mmm.predict_posterior( + X_pred, + include_last_observations=True, + ) + assert pp_without.coords.equals(pp_with.coords) + pd.testing.assert_index_equal( + pd.DatetimeIndex(pp_without.coords["date"]), + new_dates, + ) + + +@pytest.mark.parametrize( + "model_name", ["mmm_fitted", "mmm_fitted_with_fourier_features"] +) +@pytest.mark.parametrize( + "new_dates", + [pd.date_range("2022-01-01", "2022-03-01", freq="W-MON")], +) +def test_new_data_predict_method( + generate_data, + toy_y, + model_name: str, + new_dates: pd.DatetimeIndex, + request, +) -> None: + mmm = request.getfixturevalue(model_name) + X_pred = generate_data(new_dates) + + posterior_predictive_mean = mmm.predict(X_pred=X_pred) + assert isinstance(posterior_predictive_mean, np.ndarray) + assert posterior_predictive_mean.shape[0] == new_dates.size + # Original scale constraint + assert np.all(posterior_predictive_mean >= 0) + + # Domain kept close + lower, upper = np.quantile(a=posterior_predictive_mean, q=[0.025, 0.975], axis=0) + assert lower < toy_y.mean() < upper + + def test_get_valid_distribution(mmm): normal_dist = mmm._get_distribution({"dist": "Normal"}) assert normal_dist is pm.Normal diff --git a/tests/mmm/test_utils.py b/tests/mmm/test_utils.py index 9752f7e45..8b6f49689 100644 --- a/tests/mmm/test_utils.py +++ b/tests/mmm/test_utils.py @@ -4,6 +4,7 @@ import xarray as xr from pymc_marketing.mmm.utils import ( + apply_sklearn_transformer_across_date, compute_sigmoid_second_derivative, estimate_menten_parameters, estimate_sigmoid_parameters, @@ -198,3 +199,64 @@ def test_compute_sigmoid_second_derivative_valid(x, alpha, lam, expected): def test_find_sigmoid_inflection_point_valid(alpha, lam, expected): result = find_sigmoid_inflection_point(alpha, lam) np.testing.assert_allclose(result, expected, rtol=1e-5, atol=1e-8) + + +@pytest.fixture +def mock_method(): + def _mock_method(x): + if x.ndim != 2: + raise ValueError("x must be 2-dimensional") + + return x * 2 + + return _mock_method + + +@pytest.fixture +def create_mock_mmm_return_data(): + def _create_mock_mm_return_data(combined: bool) -> xr.DataArray: + dates = pd.date_range(start="2020-01-01", end="2020-01-31", freq="W-MON") + data = xr.DataArray( + np.ones(shape=(1, 3, len(dates))), + coords={ + "chain": [1], + "draw": [1, 2, 3], + "date": dates, + }, + ) + + if combined: + data = data.stack(sample=("chain", "draw")) + + return data + + return _create_mock_mm_return_data + + +@pytest.mark.parametrize("combined", [True, False]) +def test_apply_sklearn_function_across_date( + mock_method, create_mock_mmm_return_data, combined: bool +) -> None: + # Data that would be returned from a MMM model + data = create_mock_mmm_return_data(combined=combined) + result = apply_sklearn_transformer_across_date( + data, + mock_method, + combined=combined, + ) + + xr.testing.assert_allclose(result, data * 2) + + +def test_apply_sklearn_function_across_date_error( + mock_method, + create_mock_mmm_return_data, +) -> None: + data = create_mock_mmm_return_data(combined=False) + + with pytest.raises(ValueError, match="x must be 2-dimensional"): + apply_sklearn_transformer_across_date( + data, + mock_method, + combined=True, + ) diff --git a/tests/model_builder/test_model_builder.py b/tests/model_builder/test_model_builder.py index f29070bed..531e590c5 100644 --- a/tests/model_builder/test_model_builder.py +++ b/tests/model_builder/test_model_builder.py @@ -22,9 +22,12 @@ import pandas as pd import pymc as pm import pytest +import xarray as xr from pymc_marketing.model_builder import ModelBuilder +rng = np.random.default_rng(42) + @pytest.fixture(scope="module") def toy_X(): @@ -123,11 +126,12 @@ def _save_input_params(self, idata): def output_var(self): return "output" - def _data_setter(self, x: pd.Series, y: pd.Series = None): + def _data_setter(self, X: pd.Series, y: pd.Series = None): with self.model: - pm.set_data({"x": x.values}) + pm.set_data({"x": X.values}) if y is not None: - pm.set_data({"y_data": y.values}) + y = y.values if isinstance(y, pd.Series) else y + pm.set_data({"y_data": y}) @property def _serializable_model_config(self): @@ -271,3 +275,28 @@ def test_id(): ).hexdigest()[:16] assert model_builder.id == expected_id + + +@pytest.mark.parametrize("name", ["prior_predictive", "posterior_predictive"]) +def test_sample_xxx_predictive_keeps_second( + fitted_model_instance, toy_X, name: str +) -> None: + method_name = f"sample_{name}" + method = getattr(fitted_model_instance, method_name) + + X_pred = toy_X["input"] + + kwargs = { + "X_pred": X_pred, + "combined": False, + "extend_idata": True, + "random_seed": rng, + } + first_sample = method(**kwargs) + second_sample = method(**kwargs) + + with pytest.raises(AssertionError): + xr.testing.assert_allclose(first_sample, second_sample) + + sample = getattr(fitted_model_instance.idata, name) + xr.testing.assert_allclose(sample, second_sample) From 115707280c939fbf3796c57e78df01a46f0ce550 Mon Sep 17 00:00:00 2001 From: Maxim Kochurov Date: Fri, 26 Jan 2024 14:19:35 +0300 Subject: [PATCH 22/40] Add baselined saturation (#498) * add baselined saturation with test and plots * refactor docs * add the reparam * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * verify parametrization is equivalent under change of baseline * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add a note for setting x0 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * make it clear how r_ref is calculated * fix typo * fix docstrings * improve test by making sure transform is gives identical saturation and cac0 * add comment in the docstring * add blank line in the code-block --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- pymc_marketing/mmm/transformers.py | 199 ++++++++++++++++++++++++++++- tests/mmm/test_transformers.py | 59 ++++++++- 2 files changed, 255 insertions(+), 3 deletions(-) diff --git a/pymc_marketing/mmm/transformers.py b/pymc_marketing/mmm/transformers.py index afc388310..ccc573047 100644 --- a/pymc_marketing/mmm/transformers.py +++ b/pymc_marketing/mmm/transformers.py @@ -1,5 +1,5 @@ from enum import Enum -from typing import Union +from typing import NamedTuple, Union import numpy as np import numpy.typing as npt @@ -302,7 +302,50 @@ def logistic_saturation(x, lam: Union[npt.NDArray[np.float_], float] = 0.5): return (1 - pt.exp(-lam * x)) / (1 + pt.exp(-lam * x)) -def tanh_saturation(x, b: float = 0.5, c: float = 0.5): +class TanhSaturationParameters(NamedTuple): + b: pt.TensorLike + """Saturation. + """ + c: pt.TensorLike + """Customer Aquisition Cost at 0. + """ + + def baseline(self, x0: pt.TensorLike) -> "TanhSaturationBaselinedParameters": + """Change the parameterization to baselined at :math:`x_0`.""" + y_ref = tanh_saturation(x0, self.b, self.c) + gain_ref = y_ref / x0 + r_ref = y_ref / self.b + return TanhSaturationBaselinedParameters(x0, gain_ref, r_ref) + + +class TanhSaturationBaselinedParameters(NamedTuple): + x0: pt.TensorLike + """Baseline spend. + """ + gain: pt.TensorLike + """ROAS at :math:`x_0`. + """ + r: pt.TensorLike + """Overspend Fraction. + """ + + def debaseline(self) -> TanhSaturationParameters: + """Change the parameterization to baselined to be classic saturation and cac.""" + saturation = (self.gain * self.x0) / self.r + cac = self.r / (self.gain * pt.arctanh(self.r)) + return TanhSaturationParameters(saturation, cac) + + def rebaseline(self, x1: pt.TensorLike) -> "TanhSaturationBaselinedParameters": + """Change the parameterization to baselined at :math:`x_1`.""" + params = self.debaseline() + return params.baseline(x1) + + +def tanh_saturation( + x: pt.TensorLike, + b: pt.TensorLike = 0.5, + c: pt.TensorLike = 0.5, +) -> pt.TensorVariable: R"""Tanh saturation transformation. .. math:: @@ -355,3 +398,155 @@ def tanh_saturation(x, b: float = 0.5, c: float = 0.5): See https://www.pymc-labs.io/blog-posts/reducing-customer-acquisition-costs-how-we-helped-optimizing-hellofreshs-marketing-budget/ # noqa: E501 """ return b * pt.tanh(x / (b * c)) + + +def tanh_saturation_baselined( + x: pt.TensorLike, + x0: pt.TensorLike, + gain: pt.TensorLike = 0.5, + r: pt.TensorLike = 0.5, +) -> pt.TensorVariable: + r""" + Baselined Tanh Saturation. + + This parameterization that is easier than :func:`tanh_saturation` + to use for industry applications where domain knowledge is an essence. + + In a nutshell, it is an alternative parameterization of the reach function is given by: + + .. math:: + + \begin{align} + c_0 &= \frac{r}{g \cdot \arctan(r)} \\ + \beta &= \frac{g \cdot x_0}{r} \\ + \operatorname{saturation}(x, \beta, c_0) &= \beta \cdot \tanh \left( \frac{x}{c_0 \cdot \beta} \right) + \end{align} + + where: + + - :math:`x_0` is the "reference point". This is a point chosen + by the user (not given a prior) where they expect most of their data to lie. + For example, if you're spending between 50 and 150 dollars on a particular channel, + you might choose :math:`x_0 = 100`. + Suggested value is median channel spend: ``np.median(spend)``. + + - :math:`g` is the "gain", which is the value of the CAC (:math:`c_0`) at the reference point. + You have to set a prior on what you think the CAC is when you spend :math:`x_0 = 100`. + Imagine you have four advertising channels, and you acquired 1000 new users. + If each channel performed equally well, and advertising drove all sales, you might expect + that you gained 250 users from each channel. Here, your "gain" would be :math:`250 / 100 = 2.5`. + Suggested prior is ``pm.Exponential`` + - :math:`r`, the overspend fraction is telling you where the reference point is. + + - :math:`0` - we can increase our budget by a lot to reach the saturated region, + the diminishing returns are not visible yet. + - :math:`1` - the reference point is already in the saturation region + and additional dollar spend will not lead to any new users. + - :math:`0.8`, you can still increase acquired users by :math:`50\%` as much + you get in the reference point by increasing the budget. + :math:`x_0` effect is 20% away from saturation point + + Suggested prior is ``pm.Beta`` + + .. note:: + + The reference point :math:`x_0` has to be set within the range of the actual spends. + As in, you buy ads three times and spend :math:`5`, :math:`6` and :math:`7` dollars, + :math:`x_0` has to be set within :math:`[5, 7]`, so not :math:`4` not :math:`8`. + Otherwise the posterior of r and gain becomes a skinny diagonal line. + It could be very relevant if there is very little spend observations for a particular channel. + + The original reach or saturation function used in an MMM is formulated as + + .. math:: + + \operatorname{saturation}(x, \beta, c_0) = \beta \cdot \tanh \left( \frac{x}{c_0 \cdot \beta} \right) + + where: + + - :math:`\beta` is the saturation, or the limit of the total number + of new users obtained when an infinite number of dollars are spent on that channel. + - :math:`c_0` is the cost per acquisition (CAC0), so the initial cost per new user. + - :math:`\frac{1}{c_0}` is the inverse of the CAC0, so it's the number of new + users we might expect after spending our first dollar. + + .. plot:: + :context: close-figs + + import matplotlib.pyplot as plt + import numpy as np + import arviz as az + from pymc_marketing.mmm.transformers import ( + tanh_saturation_baselined, + tanh_saturation, + TanhSaturationBaselinedParameters, + ) + + gain = 1 + overspend_fraction = 0.7 + x_baseline = 400 + + params = TanhSaturationBaselinedParameters(x_baseline, gain, overspend_fraction) + + x = np.linspace(0, 1000) + y = tanh_saturation_baselined(x, *params).eval() + + saturation, cac0 = params.debaseline() + cac0 = cac0.eval() + saturated_ref = tanh_saturation(x_baseline, saturation, cac0).eval() + + plt.plot(x, y); + plt.axvline(x_baseline, linestyle="dashed", color="red", label="baseline") + plt.plot(x, x * gain, linestyle="dashed", label="gain (slope)"); + plt.axhline(saturated_ref, linestyle="dashed", label="f(reference)") + plt.plot(x, x / cac0, linestyle="dotted", label="1/cac (slope)"); + plt.axhline(saturation, linestyle="dotted", label="saturation") + plt.fill_between(x, saturated_ref, saturation, alpha=0.1, label="underspend fraction") + plt.fill_between(x, saturated_ref, alpha=0.1, label="overspend fraction") + plt.legend() + plt.show() + + Examples + -------- + + .. code-block:: python + + import pymc as pm + import numpy as np + + x_in = np.exp(3+np.random.randn(100)) + true_cac = 1 + true_saturation = 100 + y_out = abs(np.random.normal(tanh_saturation(x_in, true_saturation, true_cac).eval(), 0.1)) + + with pm.Model() as model_reparam: + r = pm.Uniform("r") + gain = pm.Exponential("gain", 1) + input = pm.ConstantData("spent", x_in) + response = pm.ConstantData("response", y_out) + sigma = pm.HalfNormal("n") + output = tanh_saturation_baselined(input, np.median(x_in), gain, r) + pm.Normal("output", output, sigma, observed=response) + trace = pm.sample() + + Parameters + ---------- + x : tensor + Input tensor. + x0: tensor + Baseline for saturation. + gain : tensor, by default 0.5 + ROAS at the baseline point, mathematically as :math:`gain = f(x0) / x0`. + r : tensor, by default 0.5 + The overspend fraction, mathematically as :math:`r = f(x0) / \text{saturation}`. + + Returns + ------- + tensor + Transformed tensor. + + References + ---------- + Developed by Max Kochurov and Aziz Al-Maeeni doing innovative work in `PyMC Labs `_. + """ + return gain * x0 * pt.tanh(x * pt.arctanh(r) / x0) / r diff --git a/tests/mmm/test_transformers.py b/tests/mmm/test_transformers.py index cf2336e25..ebef23346 100644 --- a/tests/mmm/test_transformers.py +++ b/tests/mmm/test_transformers.py @@ -2,15 +2,17 @@ import pytensor import pytensor.tensor as pt import pytest -from pytensor.tensor.var import TensorVariable +from pytensor.tensor.variable import TensorVariable from pymc_marketing.mmm.transformers import ( ConvMode, + TanhSaturationParameters, batched_convolution, delayed_adstock, geometric_adstock, logistic_saturation, tanh_saturation, + tanh_saturation_baselined, ) @@ -236,6 +238,61 @@ def test_tanh_saturation_inverse(self, x, b, c): y_inv = (b * c) * pt.arctanh(y / b) np.testing.assert_array_almost_equal(x=x, y=y_inv.eval(), decimal=6) + @pytest.mark.parametrize( + "x, x0, gain, r", + [ + (np.ones(shape=(100)), 10, 0.5, 0.5), + (np.zeros(shape=(100)), 10, 0.6, 0.3), + (np.linspace(start=0.0, stop=100.0, num=50), 10, 0.001, 0.01), + (np.linspace(start=0.0, stop=100.0, num=50), 10, 0.1, 0.01), + (np.linspace(start=0.0, stop=100.0, num=50), 10, 1, 0.25), + ], + ) + def test_tanh_saturation_baselined_range(self, x, x0, gain, r): + b = (gain * x0) / r + assert tanh_saturation_baselined(x=x, x0=x0, gain=gain, r=r).eval().max() <= b + assert tanh_saturation_baselined(x=x, x0=x0, gain=gain, r=r).eval().min() >= -b + + @pytest.mark.parametrize( + "x, x0, gain, r", + [ + (np.ones(shape=(100)), 10, 0.5, 0.5), + (np.zeros(shape=(100)), 10, 0.6, 0.3), + (np.linspace(start=0.0, stop=100.0, num=50), 10, 0.001, 0.1), + (np.linspace(start=0.0, stop=100.0, num=50), 10, 0.1, 0.01), + (np.linspace(start=0.0, stop=100.0, num=50), 10, 1, 0.25), + ], + ) + def test_tanh_saturation_baselined_inverse(self, x, x0, gain, r): + y = tanh_saturation_baselined(x=x, x0=x0, gain=gain, r=r) + b = (gain * x0) / r + c = r / (gain * pt.arctanh(r)) + y_inv = (b * c) * pt.arctanh(y / b) + np.testing.assert_array_almost_equal(x=x, y=y_inv.eval(), decimal=6) + + @pytest.mark.parametrize( + "x, b, c", + [ + (np.linspace(start=0.0, stop=10.0, num=50), 20, 0.5), + (np.linspace(start=0.0, stop=10.0, num=50), 100, 0.5), + (np.linspace(start=0.0, stop=10.0, num=50), 100, 1), + ], + ) + def test_tanh_saturation_parameterization_transformation(self, x, b, c): + param_classic = TanhSaturationParameters(b, c) + param_x0 = param_classic.baseline(5) + param_x1 = param_x0.rebaseline(6) + param_classic1 = param_x1.debaseline() + y1 = tanh_saturation(x, *param_classic).eval() + y2 = tanh_saturation_baselined(x, *param_x0).eval() + y3 = tanh_saturation_baselined(x, *param_x1).eval() + y4 = tanh_saturation(x, *param_classic1).eval() + np.testing.assert_allclose(y1, y2) + np.testing.assert_allclose(y2, y3) + np.testing.assert_allclose(y3, y4) + np.testing.assert_allclose(param_classic1.b.eval(), b) + np.testing.assert_allclose(param_classic1.c.eval(), c) + class TestTransformersComposition: @pytest.mark.parametrize( From fa16200f6289ccf6ab08fd58011d31dc5714f7d5 Mon Sep 17 00:00:00 2001 From: Abdalaziz Rashid Date: Fri, 26 Jan 2024 19:57:52 +0300 Subject: [PATCH 23/40] Swap Before and After convolution modes as per #489 (#501) * Add support for string mode args * Swap before and after and make mode explicit * Use Union due Python 3.9 * Style --- pymc_marketing/mmm/transformers.py | 18 ++++++++++++------ tests/mmm/test_transformers.py | 4 ++-- 2 files changed, 14 insertions(+), 8 deletions(-) diff --git a/pymc_marketing/mmm/transformers.py b/pymc_marketing/mmm/transformers.py index ccc573047..f8b9a9516 100644 --- a/pymc_marketing/mmm/transformers.py +++ b/pymc_marketing/mmm/transformers.py @@ -7,13 +7,19 @@ from pytensor.tensor.random.utils import params_broadcast_shapes -class ConvMode(Enum): +class ConvMode(str, Enum): + # TODO: use StrEnum when we upgrade to python 3.11 After = "After" Before = "Before" Overlap = "Overlap" -def batched_convolution(x, w, axis: int = 0, mode: ConvMode = ConvMode.Before): +def batched_convolution( + x, + w, + axis: int = 0, + mode: Union[ConvMode, str] = ConvMode.After, +): R"""Apply a 1D convolution in a vectorized way across multiple batch dimensions. .. plot:: @@ -98,9 +104,9 @@ def batched_convolution(x, w, axis: int = 0, mode: ConvMode = ConvMode.Before): # The window is the slice of the padded array that corresponds to the original x if l_max <= 1: window = slice(None) - elif mode == ConvMode.After: - window = slice(l_max - 1, None) elif mode == ConvMode.Before: + window = slice(l_max - 1, None) + elif mode == ConvMode.After: window = slice(None, -l_max + 1) elif mode == ConvMode.Overlap: # Handle even and odd l_max differently if l_max is odd then we can split evenly otherwise we drop from the end @@ -185,7 +191,7 @@ def geometric_adstock( w = pt.power(pt.as_tensor(alpha)[..., None], pt.arange(l_max, dtype=x.dtype)) w = w / pt.sum(w, axis=-1, keepdims=True) if normalize else w - return batched_convolution(x, w, axis=axis) + return batched_convolution(x, w, axis=axis, mode=ConvMode.After) def delayed_adstock( @@ -257,7 +263,7 @@ def delayed_adstock( (pt.arange(l_max, dtype=x.dtype) - pt.as_tensor(theta)[..., None]) ** 2, ) w = w / pt.sum(w, axis=-1, keepdims=True) if normalize else w - return batched_convolution(x, w, axis=axis) + return batched_convolution(x, w, axis=axis, mode=ConvMode.After) def logistic_saturation(x, lam: Union[npt.NDArray[np.float_], float] = 0.5): diff --git a/tests/mmm/test_transformers.py b/tests/mmm/test_transformers.py index ebef23346..6e559a21a 100644 --- a/tests/mmm/test_transformers.py +++ b/tests/mmm/test_transformers.py @@ -69,10 +69,10 @@ def test_batched_convolution(convolution_inputs, convolution_axis, mode): x_val = np.moveaxis( x_val if x_val is not None else getattr(x, "value", x), convolution_axis, 0 ) - if mode == ConvMode.Before: + if mode == ConvMode.After: np.testing.assert_allclose(y_val[0], x_val[0]) np.testing.assert_allclose(y_val[1:], x_val[1:] + x_val[:-1]) - elif mode == ConvMode.After: + elif mode == ConvMode.Before: np.testing.assert_allclose(y_val[-1], x_val[-1]) np.testing.assert_allclose(y_val[:-1], x_val[1:] + x_val[:-1]) elif mode == ConvMode.Overlap: From f4c2de95f4fbc622094428fd8d23831098fcac9c Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sat, 27 Jan 2024 19:27:23 +0100 Subject: [PATCH 24/40] resolve conflict --- pymc_marketing/mmm/delayed_saturated_mmm.py | 166 ++++++++++++++++++++ 1 file changed, 166 insertions(+) diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index fa1bc19b4..d338701d7 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -1096,3 +1096,169 @@ def sample_posterior_predictive( ) return posterior_predictive_samples + + + def new_spends_contributions( + self, + spends: np.ndarray, + one_time: bool = True, + spends_leading_up: Optional[np.ndarray] = None, + prior: bool = False, + ) -> DataArray: + """Return the upcoming contributions for a given spend. + + Parameters + ---------- + spends : np.ndarray + Array of spends for each channel + one_time : bool, optional + Whether the spends are one time (at start of period) or constant (over period), by default True (one time) + spends_leading_up : np.array, optional + Array of spends for each channel leading up to the spends, by default None (no spends leading up) + prior : bool, optional + Whether to use the prior or posterior, by default False (posterior) + + Returns + ------- + DataArray + Upcoming contributions for each channel + + + """ + if spends_leading_up is None: + spends_leading_up = np.zeros_like(spends) + + if len(spends) != len(self.channel_columns): + raise ValueError("spends must be the same length as the number of channels") + + if len(spends_leading_up) != len(self.channel_columns): + raise ValueError( + "spends_leading_up must be the same length as the number of channels" + ) + + spends_leading_up = np.tile(spends_leading_up, self.adstock_max_lag).reshape( + self.adstock_max_lag, -1 + ) + + spends = ( + np.vstack( + [spends, np.zeros((self.adstock_max_lag, len(self.channel_columns)))] + ) + if one_time + else np.ones((self.adstock_max_lag + 1, len(self.channel_columns))) * spends + ) + + new_data = np.vstack( + [ + spends_leading_up, + spends, + ] + ) + + new_data = self.channel_transformer.transform(new_data) + idata = self.idata + + coords = { + "weeks_since_spend": np.arange( + -self.adstock_max_lag, self.adstock_max_lag + 1 + ), + "channel": self.channel_columns, + } + with pm.Model(coords=coords): + alpha = pm.Uniform("alpha", lower=0, upper=1, dims=("channel",)) + lam = pm.HalfFlat("lam", dims=("channel",)) + beta_channel = pm.HalfFlat("beta_channel", dims=("channel",)) + + channel_adstock = geometric_adstock( + x=new_data, + alpha=alpha, + l_max=self.adstock_max_lag, + normalize=True, + axis=0, + ) + channel_adstock_saturated = logistic_saturation(x=channel_adstock, lam=lam) + pm.Deterministic( + name="channel_contributions", + var=channel_adstock_saturated * beta_channel, + dims=("weeks_since_spend", "channel"), + ) + + samples = pm.sample_posterior_predictive( + idata, + var_names=["channel_contributions"], + ) + + return samples.posterior_predictive["channel_contributions"] + + def plot_new_spends_contributions( + self, + amount_spent: float, + ax: Optional[plt.Axes] = None, + one_time: bool = True, + ylabel: bool = True, + idx=None, + ) -> None: + ax = ax or plt.gca() + n_channels = len(self.channel_columns) + spends = self.new_spends_contributions( + np.ones(n_channels) * amount_spent, + one_time=one_time, + spends_leading_up=np.ones(n_channels) * amount_spent, + ) + + def inverse_transform_on_nparray( + data: np.ndarray, + inverse_transform: Callable[[np.ndarray], np.ndarray], + ) -> np.ndarray: + shape = data.shape + + data = data.reshape(-1, shape[-1]) + data = inverse_transform(data) + data = data.reshape(shape) + + return data + + def inverse_transform_on_series( + data: pd.Series, + inverse_transform: Callable[[np.ndarray], np.ndarray], + ) -> pd.Series: + index = data.index + data_np = data.to_numpy() + data_np = inverse_transform_on_nparray(data_np, inverse_transform) + result_ser = pd.Series(data_np, index=index) + return result_ser + + idx = idx or pd.IndexSlice[0:] + + spends_inverse_transformed = ( + spends.to_series() + .pipe( + inverse_transform_on_series, + inverse_transform=self.target_transformer.inverse_transform, + ) + .unstack() + ) + conf = ( + spends_inverse_transformed.groupby(level=-1) + .quantile([0.025, 0.975]) + .unstack() + .loc[idx] + ) + + for channel in self.channel_columns: + ax.fill_between( + conf.index, + conf[channel][0.025], + conf[channel][0.975], + label=f"{channel} 95% CI", + alpha=0.5, + ) + tmp = spends_inverse_transformed.groupby(level=-1).mean().loc[idx] + tmp.add_suffix(" mean").plot(ax=ax, color=["C0", "C1"], alpha=0.6) + ax.legend().set_title("Channel") + ax.set( + xlabel="Weeks since spend", + ylabel="Sales" if ylabel else None, + title=f"Upcoming sales for {amount_spent:.02f} spend", + ) + return ax From eecbcaa0d03efa6e04a9e2440d124fbc4b749f38 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sat, 27 Jan 2024 20:50:00 +0100 Subject: [PATCH 25/40] add dim_name arg --- pymc_marketing/mmm/delayed_saturated_mmm.py | 250 +++----------------- pymc_marketing/mmm/utils.py | 8 +- tests/mmm/test_utils.py | 12 +- 3 files changed, 46 insertions(+), 224 deletions(-) diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index d338701d7..0bf7b5c54 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -1,6 +1,6 @@ import json from pathlib import Path -from typing import Any, Callable, Dict, List, Optional, Union +from typing import Any, Dict, List, Optional, Union import arviz as az import matplotlib.pyplot as plt @@ -16,7 +16,7 @@ from pymc_marketing.mmm.preprocessing import MaxAbsScaleChannels, MaxAbsScaleTarget from pymc_marketing.mmm.transformers import geometric_adstock, logistic_saturation from pymc_marketing.mmm.utils import ( - apply_sklearn_transformer_across_date, + apply_sklearn_transformer_across_dim, generate_fourier_modes, ) from pymc_marketing.mmm.validating import ValidateControlColumns @@ -856,6 +856,7 @@ def new_spends_contributions( one_time: bool = True, spends_leading_up: Optional[np.ndarray] = None, prior: bool = False, + original_scale: bool = True, ) -> DataArray: """Return the upcoming contributions for a given spend. @@ -943,7 +944,17 @@ def new_spends_contributions( var_names=["channel_contributions"], ) - return samples.posterior_predictive["channel_contributions"] + channel_contributions = samples.posterior_predictive["channel_contributions"] + + if original_scale: + channel_contributions = apply_sklearn_transformer_across_dim( + data=channel_contributions, + func=self.get_target_transformer().inverse_transform, + dim_name="weeks_since_spend", + combined=False, + ) + + return channel_contributions def plot_new_spends_contributions( self, @@ -952,66 +963,37 @@ def plot_new_spends_contributions( one_time: bool = True, ylabel: str = "Sales", idx=None, + channels: Optional[List[str]] = None, prior: bool = False, - ) -> None: + original_scale: bool = True, + ) -> plt.Axes: ax = ax or plt.gca() - n_channels = len(self.channel_columns) - spends = self.new_spends_contributions( - np.ones(n_channels) * amount_spent, + total_channels = len(self.channel_columns) + contributions = self.new_spends_contributions( + np.ones(total_channels) * amount_spent, one_time=one_time, - spends_leading_up=np.ones(n_channels) * amount_spent, + spends_leading_up=np.ones(total_channels) * amount_spent, prior=prior, + original_scale=original_scale, ) - def inverse_transform_on_nparray( - data: np.ndarray, - inverse_transform: Callable[[np.ndarray], np.ndarray], - ) -> np.ndarray: - shape = data.shape - - data = data.reshape(-1, shape[-1]) - data = inverse_transform(data) - data = data.reshape(shape) - - return data - - def inverse_transform_on_series( - data: pd.Series, - inverse_transform: Callable[[np.ndarray], np.ndarray], - ) -> pd.Series: - index = data.index - data_np = data.to_numpy() - data_np = inverse_transform_on_nparray(data_np, inverse_transform) - result_ser = pd.Series(data_np, index=index) - return result_ser + contributions_groupby = contributions.to_series().groupby( + level=["weeks_since_spend", "channel"] + ) idx = idx or pd.IndexSlice[0:] - def identity(x): - return x - - inverse_transform = ( - self.target_transformer.inverse_transform if not prior else identity - ) - spends_inverse_transformed = ( - spends.to_series() - .pipe( - inverse_transform_on_series, - inverse_transform=inverse_transform, - ) - .unstack() - ) - quantiles = [0.025, 0.975] conf = ( - spends_inverse_transformed.groupby(level=-1) - .quantile(quantiles) + contributions_groupby.quantile(quantiles) + .unstack("channel") .unstack() .loc[idx] ) + channels = channels or self.channel_columns # type: ignore lower, upper = quantiles - for channel in self.channel_columns: + for channel in channels: # type: ignore ax.fill_between( conf.index, conf[channel][lower], @@ -1019,8 +1001,9 @@ def identity(x): label=f"{channel} {100 * (upper - lower):.0f}% CI", alpha=0.5, ) - tmp = spends_inverse_transformed.groupby(level=-1).mean().loc[idx] - tmp.add_suffix(" mean").plot(ax=ax, color=["C0", "C1"], alpha=0.6) + mean = contributions_groupby.mean().unstack("channel").loc[idx, channels] + color = [f"C{i}" for i in range(len(channels))] # type: ignore + mean.add_suffix(" mean").plot(ax=ax, color=color, alpha=0.75) ax.legend().set_title("Channel") ax.set( xlabel="Weeks since spend", @@ -1089,176 +1072,11 @@ def sample_posterior_predictive( ) if original_scale: - posterior_predictive_samples = apply_sklearn_transformer_across_date( + posterior_predictive_samples = apply_sklearn_transformer_across_dim( data=posterior_predictive_samples, func=self.get_target_transformer().inverse_transform, + dim_name="date", combined=combined, ) return posterior_predictive_samples - - - def new_spends_contributions( - self, - spends: np.ndarray, - one_time: bool = True, - spends_leading_up: Optional[np.ndarray] = None, - prior: bool = False, - ) -> DataArray: - """Return the upcoming contributions for a given spend. - - Parameters - ---------- - spends : np.ndarray - Array of spends for each channel - one_time : bool, optional - Whether the spends are one time (at start of period) or constant (over period), by default True (one time) - spends_leading_up : np.array, optional - Array of spends for each channel leading up to the spends, by default None (no spends leading up) - prior : bool, optional - Whether to use the prior or posterior, by default False (posterior) - - Returns - ------- - DataArray - Upcoming contributions for each channel - - - """ - if spends_leading_up is None: - spends_leading_up = np.zeros_like(spends) - - if len(spends) != len(self.channel_columns): - raise ValueError("spends must be the same length as the number of channels") - - if len(spends_leading_up) != len(self.channel_columns): - raise ValueError( - "spends_leading_up must be the same length as the number of channels" - ) - - spends_leading_up = np.tile(spends_leading_up, self.adstock_max_lag).reshape( - self.adstock_max_lag, -1 - ) - - spends = ( - np.vstack( - [spends, np.zeros((self.adstock_max_lag, len(self.channel_columns)))] - ) - if one_time - else np.ones((self.adstock_max_lag + 1, len(self.channel_columns))) * spends - ) - - new_data = np.vstack( - [ - spends_leading_up, - spends, - ] - ) - - new_data = self.channel_transformer.transform(new_data) - idata = self.idata - - coords = { - "weeks_since_spend": np.arange( - -self.adstock_max_lag, self.adstock_max_lag + 1 - ), - "channel": self.channel_columns, - } - with pm.Model(coords=coords): - alpha = pm.Uniform("alpha", lower=0, upper=1, dims=("channel",)) - lam = pm.HalfFlat("lam", dims=("channel",)) - beta_channel = pm.HalfFlat("beta_channel", dims=("channel",)) - - channel_adstock = geometric_adstock( - x=new_data, - alpha=alpha, - l_max=self.adstock_max_lag, - normalize=True, - axis=0, - ) - channel_adstock_saturated = logistic_saturation(x=channel_adstock, lam=lam) - pm.Deterministic( - name="channel_contributions", - var=channel_adstock_saturated * beta_channel, - dims=("weeks_since_spend", "channel"), - ) - - samples = pm.sample_posterior_predictive( - idata, - var_names=["channel_contributions"], - ) - - return samples.posterior_predictive["channel_contributions"] - - def plot_new_spends_contributions( - self, - amount_spent: float, - ax: Optional[plt.Axes] = None, - one_time: bool = True, - ylabel: bool = True, - idx=None, - ) -> None: - ax = ax or plt.gca() - n_channels = len(self.channel_columns) - spends = self.new_spends_contributions( - np.ones(n_channels) * amount_spent, - one_time=one_time, - spends_leading_up=np.ones(n_channels) * amount_spent, - ) - - def inverse_transform_on_nparray( - data: np.ndarray, - inverse_transform: Callable[[np.ndarray], np.ndarray], - ) -> np.ndarray: - shape = data.shape - - data = data.reshape(-1, shape[-1]) - data = inverse_transform(data) - data = data.reshape(shape) - - return data - - def inverse_transform_on_series( - data: pd.Series, - inverse_transform: Callable[[np.ndarray], np.ndarray], - ) -> pd.Series: - index = data.index - data_np = data.to_numpy() - data_np = inverse_transform_on_nparray(data_np, inverse_transform) - result_ser = pd.Series(data_np, index=index) - return result_ser - - idx = idx or pd.IndexSlice[0:] - - spends_inverse_transformed = ( - spends.to_series() - .pipe( - inverse_transform_on_series, - inverse_transform=self.target_transformer.inverse_transform, - ) - .unstack() - ) - conf = ( - spends_inverse_transformed.groupby(level=-1) - .quantile([0.025, 0.975]) - .unstack() - .loc[idx] - ) - - for channel in self.channel_columns: - ax.fill_between( - conf.index, - conf[channel][0.025], - conf[channel][0.975], - label=f"{channel} 95% CI", - alpha=0.5, - ) - tmp = spends_inverse_transformed.groupby(level=-1).mean().loc[idx] - tmp.add_suffix(" mean").plot(ax=ax, color=["C0", "C1"], alpha=0.6) - ax.legend().set_title("Channel") - ax.set( - xlabel="Weeks since spend", - ylabel="Sales" if ylabel else None, - title=f"Upcoming sales for {amount_spent:.02f} spend", - ) - return ax diff --git a/pymc_marketing/mmm/utils.py b/pymc_marketing/mmm/utils.py index c9a635031..b34d11459 100644 --- a/pymc_marketing/mmm/utils.py +++ b/pymc_marketing/mmm/utils.py @@ -289,9 +289,10 @@ def standardize_scenarios_dict_keys(d: Dict, keywords: List[str]): break -def apply_sklearn_transformer_across_date( +def apply_sklearn_transformer_across_dim( data: xr.DataArray, func: Callable[[np.ndarray], np.ndarray], + dim_name: str, combined: bool = False, ) -> xr.DataArray: """Helper function in order to use scikit-learn functions with the xarray target. @@ -300,6 +301,7 @@ def apply_sklearn_transformer_across_date( ---------- data : func : scikit-learn method to apply to the data + dim_name : Name of the dimension to apply the function to combined : Flag to indicate if the data coords have been combined or not Returns @@ -318,8 +320,8 @@ def apply_sklearn_transformer_across_date( data = xr.apply_ufunc( func, data.expand_dims(dim={"_": 1}, axis=1), - input_core_dims=[["date", "_"]], - output_core_dims=[["date", "_"]], + input_core_dims=[[dim_name, "_"]], + output_core_dims=[[dim_name, "_"]], vectorize=True, ).squeeze(dim="_") diff --git a/tests/mmm/test_utils.py b/tests/mmm/test_utils.py index 8b6f49689..91c37e9e3 100644 --- a/tests/mmm/test_utils.py +++ b/tests/mmm/test_utils.py @@ -4,7 +4,7 @@ import xarray as xr from pymc_marketing.mmm.utils import ( - apply_sklearn_transformer_across_date, + apply_sklearn_transformer_across_dim, compute_sigmoid_second_derivative, estimate_menten_parameters, estimate_sigmoid_parameters, @@ -234,29 +234,31 @@ def _create_mock_mm_return_data(combined: bool) -> xr.DataArray: @pytest.mark.parametrize("combined", [True, False]) -def test_apply_sklearn_function_across_date( +def test_apply_sklearn_function_across_dim( mock_method, create_mock_mmm_return_data, combined: bool ) -> None: # Data that would be returned from a MMM model data = create_mock_mmm_return_data(combined=combined) - result = apply_sklearn_transformer_across_date( + result = apply_sklearn_transformer_across_dim( data, mock_method, + dim_name="date", combined=combined, ) xr.testing.assert_allclose(result, data * 2) -def test_apply_sklearn_function_across_date_error( +def test_apply_sklearn_function_across_dim_error( mock_method, create_mock_mmm_return_data, ) -> None: data = create_mock_mmm_return_data(combined=False) with pytest.raises(ValueError, match="x must be 2-dimensional"): - apply_sklearn_transformer_across_date( + apply_sklearn_transformer_across_dim( data, mock_method, + dim_name="date", combined=True, ) From 6a77fcfc50fbb47aaf3dc01656a323ed96bd6c2b Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sun, 28 Jan 2024 12:43:48 +0100 Subject: [PATCH 26/40] add seed to tests and test methods --- .github/workflows/ci.yml | 2 +- pymc_marketing/mmm/base.py | 2 +- pymc_marketing/mmm/delayed_saturated_mmm.py | 58 +++++++------- pyproject.toml | 7 +- ...new_spend_contributions_original_scale.png | Bin 0 -> 43701 bytes ...est_plot_new_spend_contributions_prior.png | Bin 0 -> 46555 bytes ...nd_contributions_prior_select_channels.png | Bin 0 -> 36502 bytes tests/mmm/test_base.py | 14 ++++ tests/mmm/test_delayed_saturated_mmm.py | 72 ++++++++++++++++++ 9 files changed, 126 insertions(+), 29 deletions(-) create mode 100644 tests/baseline/test_plot_new_spend_contributions_original_scale.png create mode 100644 tests/baseline/test_plot_new_spend_contributions_prior.png create mode 100644 tests/baseline/test_plot_new_spend_contributions_prior_select_channels.png diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index be398f956..140277dd3 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -42,7 +42,7 @@ jobs: - name: Run tests run: | pip install -e .[test] - pytest --cov-report=xml --no-cov-on-fail --durations=50 + pytest --mpl --mpl-baseline-path=tests/baseline --cov-report=xml --no-cov-on-fail --durations=50 - name: Check oldest version of PyMC if: ${{ matrix.config.oldest-pymc }} run: python -c "import pymc; assert pymc.__version__ == '${{ env.OLDEST_PYMC_VERSION }}'" diff --git a/pymc_marketing/mmm/base.py b/pymc_marketing/mmm/base.py index dca10c2fb..3de7af127 100644 --- a/pymc_marketing/mmm/base.py +++ b/pymc_marketing/mmm/base.py @@ -237,7 +237,7 @@ def get_target_transformer(self) -> Pipeline: def prior(self) -> Dataset: if self.idata is None or "prior" not in self.idata: raise RuntimeError( - "The model hasn't been fit yet, call .sample_prior_predictive() first" + "The model hasn't been fit yet, call .sample_prior_predictive() with extend_idata=True first" ) return self.idata["prior"] diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index 63b89cd93..21115c0e3 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -849,26 +849,29 @@ def plot_channel_contributions_grid( ) return fig - def new_spends_contributions( + def new_spend_contributions( self, - spends: np.ndarray, + spend: np.ndarray, one_time: bool = True, - spends_leading_up: Optional[np.ndarray] = None, + spend_leading_up: Optional[np.ndarray] = None, prior: bool = False, original_scale: bool = True, + **sample_posterior_predictive_kwargs, ) -> DataArray: """Return the upcoming contributions for a given spend. Parameters ---------- - spends : np.ndarray - Array of spends for each channel + spend : np.ndarray + Array of spend for each channel one_time : bool, optional - Whether the spends are one time (at start of period) or constant (over period), by default True (one time) - spends_leading_up : np.array, optional - Array of spends for each channel leading up to the spends, by default None (no spends leading up) + Whether the spend are one time (at start of period) or constant (over period), by default True (one time) + spend_leading_up : np.array, optional + Array of spend for each channel leading up to the spend, by default None (no spend leading up) prior : bool, optional Whether to use the prior or posterior, by default False (posterior) + **sample_posterior_predictive_kwargs + Additional keyword arguments passed to pm.sample_posterior_predictive Returns ------- @@ -877,33 +880,33 @@ def new_spends_contributions( """ - if spends_leading_up is None: - spends_leading_up = np.zeros_like(spends) + if spend_leading_up is None: + spend_leading_up = np.zeros_like(spend) - if len(spends) != len(self.channel_columns): - raise ValueError("spends must be the same length as the number of channels") + if len(spend) != len(self.channel_columns): + raise ValueError("spend must be the same length as the number of channels") - if len(spends_leading_up) != len(self.channel_columns): + if len(spend_leading_up) != len(self.channel_columns): raise ValueError( - "spends_leading_up must be the same length as the number of channels" + "spend_leading_up must be the same length as the number of channels" ) - spends_leading_up = np.tile(spends_leading_up, self.adstock_max_lag).reshape( + spend_leading_up = np.tile(spend_leading_up, self.adstock_max_lag).reshape( self.adstock_max_lag, -1 ) - spends = ( + spend = ( np.vstack( - [spends, np.zeros((self.adstock_max_lag, len(self.channel_columns)))] + [spend, np.zeros((self.adstock_max_lag, len(self.channel_columns)))] ) if one_time - else np.ones((self.adstock_max_lag + 1, len(self.channel_columns))) * spends + else np.ones((self.adstock_max_lag + 1, len(self.channel_columns))) * spend ) new_data = np.vstack( [ - spends_leading_up, - spends, + spend_leading_up, + spend, ] ) @@ -941,6 +944,7 @@ def new_spends_contributions( samples = pm.sample_posterior_predictive( idata, var_names=["channel_contributions"], + **sample_posterior_predictive_kwargs, ) channel_contributions = samples.posterior_predictive["channel_contributions"] @@ -955,9 +959,9 @@ def new_spends_contributions( return channel_contributions - def plot_new_spends_contributions( + def plot_new_spend_contributions( self, - amount_spent: float, + spend_amount: float, ax: Optional[plt.Axes] = None, one_time: bool = True, ylabel: str = "Sales", @@ -965,15 +969,17 @@ def plot_new_spends_contributions( channels: Optional[List[str]] = None, prior: bool = False, original_scale: bool = True, + **sample_posterior_predictive_kwargs, ) -> plt.Axes: ax = ax or plt.gca() total_channels = len(self.channel_columns) - contributions = self.new_spends_contributions( - np.ones(total_channels) * amount_spent, + contributions = self.new_spend_contributions( + np.ones(total_channels) * spend_amount, one_time=one_time, - spends_leading_up=np.ones(total_channels) * amount_spent, + spend_leading_up=np.ones(total_channels) * spend_amount, prior=prior, original_scale=original_scale, + **sample_posterior_predictive_kwargs, ) contributions_groupby = contributions.to_series().groupby( @@ -1007,7 +1013,7 @@ def plot_new_spends_contributions( ax.set( xlabel="Weeks since spend", ylabel=ylabel, - title=f"Upcoming sales for {amount_spent:.02f} spend", + title=f"Upcoming sales for {spend_amount:.02f} spend", ) return ax diff --git a/pyproject.toml b/pyproject.toml index 7bd7f4e67..b625d7d15 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,7 +38,12 @@ docs = [ "sphinx-design", ] lint = ["mypy", "pandas-stubs", "pre-commit>=2.19.0", "ruff>=0.1.4"] -test = 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z7W4VpS#iq~IC~oWTY38qUjDfjA9YjPBb@ovAFM2xb@v5VirTI%_mH=@93qy;x#}2$zKDp3AjJe< zwdAXrnL^%k1KUv%ix0IAw+R~L(m*JSN^Y)y%g6f%wm7|HlYT&lfae<**L-Qvq;q*` z;o{uSa|lrhNJmoc6Fc!nW7Lux2ER9^-`?-Q0mEcJ2!bNkP=TGK8P0qBZU79jcJA9p zhb`x`va}zITbHgY{0cOwO?P#*w6;PV+;DboE&)d2!4VOaIIOIbZ0 zG}M&Iie#HSW=&>6!5HTqK9-6Qn26{QjI@Ke(u-_{?&mBNyGYAL2j#GC;JU&7lUqYu zdmWBvKw#jTro3{YWh7Z<@34lrjhwNiH$X^~(R$hn3VpsJ0&D*wJ!xmB>gZaj6_sVh*1X=sw`atAu zsG^H_Ob$_fwt)s4zmSl!yStRFot-EY#%^%Rb6`9bR=tIRq3(kPw|f#3nk5O*Fcp6} zuX$5E`B=JZ!NFD56CD3t5jVl;_RrGJ;eS)b5r6uBS@8Yu{^%kn=Z#&SA^v+$64NJD M None: + new_spend = np.ones(len(mmm_fitted.channel_columns)) + new_contributions = mmm_fitted.new_spend_contributions(new_spend) + + new_contributions_property_checks(new_contributions, mmm_fitted.X, mmm_fitted) + + +def test_new_spend_contributions_prior_error(mmm) -> None: + new_spend = np.ones(len(mmm.channel_columns)) + match = "sample_prior_predictive" + with pytest.raises(RuntimeError, match=match): + mmm.new_spend_contributions(new_spend, prior=True) + + +@pytest.mark.parametrize("original_scale", [True, False]) +def test_new_spend_contributions_prior(original_scale, mmm, toy_X) -> None: + mmm.sample_prior_predictive( + X_pred=toy_X, + extend_idata=True, + ) + + new_spend = np.ones(len(mmm.channel_columns)) + new_contributions = mmm.new_spend_contributions( + new_spend, prior=True, original_scale=original_scale, random_seed=0 + ) + + new_contributions_property_checks(new_contributions, toy_X, mmm) + + +@pytest.mark.xfail(reason="The fit results change") +@pytest.mark.mpl_image_compare(style="default") +def test_plot_new_spend_contributions_original_scale(mmm_fitted) -> plt.Figure: + fig, ax = plt.subplots(figsize=(10, 5)) + mmm_fitted.plot_new_spend_contributions( + spend_amount=1, original_scale=True, ax=ax, random_seed=0 + ) + return fig + + +@pytest.mark.mpl_image_compare(style="default") +def test_plot_new_spend_contributions_prior(mmm, toy_X) -> plt.Figure: + mmm.sample_prior_predictive(X_pred=toy_X, extend_idata=True, random_seed=0) + + fig, ax = plt.subplots(figsize=(10, 5)) + mmm.plot_new_spend_contributions(spend_amount=1, prior=True, ax=ax, random_seed=0) + return fig + + +@pytest.mark.mpl_image_compare(style="default") +def test_plot_new_spend_contributions_prior_select_channels(mmm, toy_X) -> plt.Figure: + mmm.sample_prior_predictive(X_pred=toy_X, extend_idata=True, random_seed=0) + + fig, ax = plt.subplots(figsize=(10, 5)) + mmm.plot_new_spend_contributions( + spend_amount=1, prior=True, ax=ax, channels=["channel_2"], random_seed=0 + ) + return fig From 3ece5003c26ea965991989d708d04ffc66b91626 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Tue, 6 Feb 2024 17:55:57 +0100 Subject: [PATCH 27/40] add slice as type hint --- pymc_marketing/mmm/delayed_saturated_mmm.py | 37 +++++++++++++++++++-- 1 file changed, 34 insertions(+), 3 deletions(-) diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index 21115c0e3..95c928a44 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -878,7 +878,6 @@ def new_spend_contributions( DataArray Upcoming contributions for each channel - """ if spend_leading_up is None: spend_leading_up = np.zeros_like(spend) @@ -962,15 +961,47 @@ def new_spend_contributions( def plot_new_spend_contributions( self, spend_amount: float, - ax: Optional[plt.Axes] = None, one_time: bool = True, + ax: Optional[plt.Axes] = None, ylabel: str = "Sales", - idx=None, + idx: Optional[slice] = None, channels: Optional[List[str]] = None, prior: bool = False, original_scale: bool = True, **sample_posterior_predictive_kwargs, ) -> plt.Axes: + """Plot the upcoming sales for a given spend amount. + + Calls the new_spend_contributions method and plots the results. For more + control over the plot, use new_spend_contributions directly. + + Parameters + ---------- + spend_amount : float + The amount of spend for each channel + one_time : bool, optional + Whether the spend are one time (at start of period) or constant (over period), by default True (one time) + ax : plt.Axes, optional + The axes to plot on, by default None or current axes + ylabel : str, optional + The label for the y-axis, by default "Sales" + idx : pd.IndexSlice, optional + The index slice of days to plot, by default None or only positive days from spend + channels : List[str], optional + The channels to plot, by default None or all channels + prior : bool, optional + Whether to use the prior or posterior, by default False (posterior) + original_scale : bool, optional + Whether to plot in the original scale of the target variable, by default True + **sample_posterior_predictive_kwargs + Additional keyword arguments passed to pm.sample_posterior_predictive + + Returns + ------- + plt.Axes + The plot of upcoming sales for the given spend amount + + """ ax = ax or plt.gca() total_channels = len(self.channel_columns) contributions = self.new_spend_contributions( From ee3398a28a9b3c3f380ef6d23e2187022dc4b920 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Tue, 6 Feb 2024 17:58:51 +0100 Subject: [PATCH 28/40] use slice in docstring --- pymc_marketing/mmm/delayed_saturated_mmm.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index 95c928a44..63ea95ede 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -985,8 +985,9 @@ def plot_new_spend_contributions( The axes to plot on, by default None or current axes ylabel : str, optional The label for the y-axis, by default "Sales" - idx : pd.IndexSlice, optional - The index slice of days to plot, by default None or only positive days from spend + idx : slice, optional + The index slice of days to plot, by default None or only the positive days. + More specifically, slice(0, None, None) channels : List[str], optional The channels to plot, by default None or all channels prior : bool, optional From 9edbb3b202963c6026585c41882e3248dc038853 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Thu, 8 Feb 2024 23:27:05 +0100 Subject: [PATCH 29/40] defaults to mean for each channel --- pymc_marketing/mmm/delayed_saturated_mmm.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index 63ea95ede..5204bb25a 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -851,7 +851,7 @@ def plot_channel_contributions_grid( def new_spend_contributions( self, - spend: np.ndarray, + spend: Optional[np.ndarray] = None, one_time: bool = True, spend_leading_up: Optional[np.ndarray] = None, prior: bool = False, @@ -862,8 +862,8 @@ def new_spend_contributions( Parameters ---------- - spend : np.ndarray - Array of spend for each channel + spend : np.ndarray, optional + Array of spend for each channel. If None, the average spend for each channel is used, by default None. one_time : bool, optional Whether the spend are one time (at start of period) or constant (over period), by default True (one time) spend_leading_up : np.array, optional @@ -879,6 +879,9 @@ def new_spend_contributions( Upcoming contributions for each channel """ + if spend is None: + spend = self.X.loc[:, self.channel_columns].mean().to_numpy() # type: ignore + if spend_leading_up is None: spend_leading_up = np.zeros_like(spend) @@ -1020,7 +1023,7 @@ def plot_new_spend_contributions( idx = idx or pd.IndexSlice[0:] - quantiles = [0.025, 0.975] + lower, upper = quantiles = [0.025, 0.975] conf = ( contributions_groupby.quantile(quantiles) .unstack("channel") @@ -1029,7 +1032,6 @@ def plot_new_spend_contributions( ) channels = channels or self.channel_columns # type: ignore - lower, upper = quantiles for channel in channels: # type: ignore ax.fill_between( conf.index, From ae183cee0c88d26c29cc4ea6510d78d269f0d877 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Thu, 8 Feb 2024 23:56:31 +0100 Subject: [PATCH 30/40] add non-negative check --- tests/mmm/test_delayed_saturated_mmm.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/mmm/test_delayed_saturated_mmm.py b/tests/mmm/test_delayed_saturated_mmm.py index 9f716b3c1..32fa6d051 100644 --- a/tests/mmm/test_delayed_saturated_mmm.py +++ b/tests/mmm/test_delayed_saturated_mmm.py @@ -775,6 +775,9 @@ def new_contributions_property_checks(new_contributions, X, model): np.arange(-model.adstock_max_lag, model.adstock_max_lag + 1), ) + # Channel contributions are non-negative + assert (new_contributions >= 0).all() + def test_new_spend_contributions(mmm_fitted) -> None: new_spend = np.ones(len(mmm_fitted.channel_columns)) From 4bbbcf371bc00fa0a7d2d81a48ca767cabb3b636 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sun, 11 Feb 2024 16:29:53 +0100 Subject: [PATCH 31/40] ax as last arg --- pymc_marketing/mmm/delayed_saturated_mmm.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index 5204bb25a..e768662cb 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -965,12 +965,12 @@ def plot_new_spend_contributions( self, spend_amount: float, one_time: bool = True, - ax: Optional[plt.Axes] = None, ylabel: str = "Sales", idx: Optional[slice] = None, channels: Optional[List[str]] = None, prior: bool = False, original_scale: bool = True, + ax: Optional[plt.Axes] = None, **sample_posterior_predictive_kwargs, ) -> plt.Axes: """Plot the upcoming sales for a given spend amount. @@ -984,8 +984,6 @@ def plot_new_spend_contributions( The amount of spend for each channel one_time : bool, optional Whether the spend are one time (at start of period) or constant (over period), by default True (one time) - ax : plt.Axes, optional - The axes to plot on, by default None or current axes ylabel : str, optional The label for the y-axis, by default "Sales" idx : slice, optional @@ -997,6 +995,8 @@ def plot_new_spend_contributions( Whether to use the prior or posterior, by default False (posterior) original_scale : bool, optional Whether to plot in the original scale of the target variable, by default True + ax : plt.Axes, optional + The axes to plot on, by default None or current axes **sample_posterior_predictive_kwargs Additional keyword arguments passed to pm.sample_posterior_predictive From 22e6ce6afea22e64c79f4f55515a83198ae4d42a Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sun, 11 Feb 2024 16:32:25 +0100 Subject: [PATCH 32/40] change weeks -> time --- pymc_marketing/mmm/delayed_saturated_mmm.py | 10 +++++----- tests/mmm/test_delayed_saturated_mmm.py | 2 +- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index e768662cb..aac8ea668 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -919,7 +919,7 @@ def new_spend_contributions( idata: Dataset = self.fit_result if not prior else self.prior coords = { - "weeks_since_spend": np.arange( + "time_since_spend": np.arange( -self.adstock_max_lag, self.adstock_max_lag + 1 ), "channel": self.channel_columns, @@ -940,7 +940,7 @@ def new_spend_contributions( pm.Deterministic( name="channel_contributions", var=channel_adstock_saturated * beta_channel, - dims=("weeks_since_spend", "channel"), + dims=("time_since_spend", "channel"), ) samples = pm.sample_posterior_predictive( @@ -955,7 +955,7 @@ def new_spend_contributions( channel_contributions = apply_sklearn_transformer_across_dim( data=channel_contributions, func=self.get_target_transformer().inverse_transform, - dim_name="weeks_since_spend", + dim_name="time_since_spend", combined=False, ) @@ -1018,7 +1018,7 @@ def plot_new_spend_contributions( ) contributions_groupby = contributions.to_series().groupby( - level=["weeks_since_spend", "channel"] + level=["time_since_spend", "channel"] ) idx = idx or pd.IndexSlice[0:] @@ -1045,7 +1045,7 @@ def plot_new_spend_contributions( mean.add_suffix(" mean").plot(ax=ax, color=color, alpha=0.75) ax.legend().set_title("Channel") ax.set( - xlabel="Weeks since spend", + xlabel="Time since spend", ylabel=ylabel, title=f"Upcoming sales for {spend_amount:.02f} spend", ) diff --git a/tests/mmm/test_delayed_saturated_mmm.py b/tests/mmm/test_delayed_saturated_mmm.py index 32fa6d051..a3f9cd0ed 100644 --- a/tests/mmm/test_delayed_saturated_mmm.py +++ b/tests/mmm/test_delayed_saturated_mmm.py @@ -771,7 +771,7 @@ def new_contributions_property_checks(new_contributions, X, model): coords = new_contributions.coords assert coords["channel"].values.tolist() == model.channel_columns np.testing.assert_allclose( - coords["weeks_since_spend"].values, + coords["time_since_spend"].values, np.arange(-model.adstock_max_lag, model.adstock_max_lag + 1), ) From 7bd8d47537c0a4afecc14db32e71ae4529412893 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sun, 11 Feb 2024 16:35:56 +0100 Subject: [PATCH 33/40] parameterize quantiles --- pymc_marketing/mmm/delayed_saturated_mmm.py | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index aac8ea668..9825d071a 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -965,6 +965,8 @@ def plot_new_spend_contributions( self, spend_amount: float, one_time: bool = True, + lower: float = 0.025, + upper: float = 0.975, ylabel: str = "Sales", idx: Optional[slice] = None, channels: Optional[List[str]] = None, @@ -984,6 +986,10 @@ def plot_new_spend_contributions( The amount of spend for each channel one_time : bool, optional Whether the spend are one time (at start of period) or constant (over period), by default True (one time) + lower : float, optional + The lower quantile for the confidence interval, by default 0.025 + upper : float, optional + The upper quantile for the confidence interval, by default 0.975 ylabel : str, optional The label for the y-axis, by default "Sales" idx : slice, optional @@ -1006,6 +1012,12 @@ def plot_new_spend_contributions( The plot of upcoming sales for the given spend amount """ + for value in [lower, upper]: + if value < 0 or value > 1: + raise ValueError("lower and upper must be between 0 and 1") + if lower > upper: + raise ValueError("lower must be less than or equal to upper") + ax = ax or plt.gca() total_channels = len(self.channel_columns) contributions = self.new_spend_contributions( @@ -1023,9 +1035,8 @@ def plot_new_spend_contributions( idx = idx or pd.IndexSlice[0:] - lower, upper = quantiles = [0.025, 0.975] conf = ( - contributions_groupby.quantile(quantiles) + contributions_groupby.quantile([lower, upper]) .unstack("channel") .unstack() .loc[idx] From f0d8133b2310482a1f84d46890b51b1d0ed40cd0 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sun, 11 Feb 2024 18:02:37 +0100 Subject: [PATCH 34/40] separate out and add to docs --- pymc_marketing/mmm/delayed_saturated_mmm.py | 72 ++++++++++------- pymc_marketing/mmm/utils.py | 90 ++++++++++++++++++++- tests/mmm/test_utils.py | 43 ++++++++++ 3 files changed, 176 insertions(+), 29 deletions(-) diff --git a/pymc_marketing/mmm/delayed_saturated_mmm.py b/pymc_marketing/mmm/delayed_saturated_mmm.py index 9825d071a..4df0437f0 100644 --- a/pymc_marketing/mmm/delayed_saturated_mmm.py +++ b/pymc_marketing/mmm/delayed_saturated_mmm.py @@ -17,6 +17,7 @@ from pymc_marketing.mmm.transformers import geometric_adstock, logistic_saturation from pymc_marketing.mmm.utils import ( apply_sklearn_transformer_across_dim, + create_new_spend_data, generate_fourier_modes, ) from pymc_marketing.mmm.validating import ValidateControlColumns @@ -860,14 +861,21 @@ def new_spend_contributions( ) -> DataArray: """Return the upcoming contributions for a given spend. + The spend can be one time or constant over the period. The spend leading up to the + period can also be specified in order account for the lagged effect of the spend. + Parameters ---------- spend : np.ndarray, optional Array of spend for each channel. If None, the average spend for each channel is used, by default None. one_time : bool, optional - Whether the spend are one time (at start of period) or constant (over period), by default True (one time) + Whether the spends for each channel are only at the start of the period. + If True, all spends after the initial spend are zero. + If False, all spends after the initial spend are the same as the initial spend. + By default True. spend_leading_up : np.array, optional - Array of spend for each channel leading up to the spend, by default None (no spend leading up) + Array of spend for each channel leading up to the spend, by default None or 0 for each channel. + Use this parameter to account for the lagged effect of the spend. prior : bool, optional Whether to use the prior or posterior, by default False (posterior) **sample_posterior_predictive_kwargs @@ -878,38 +886,45 @@ def new_spend_contributions( DataArray Upcoming contributions for each channel - """ - if spend is None: - spend = self.X.loc[:, self.channel_columns].mean().to_numpy() # type: ignore + Examples + -------- + Channel contributions from 1 unit on each channel only once. - if spend_leading_up is None: - spend_leading_up = np.zeros_like(spend) + .. code-block:: python - if len(spend) != len(self.channel_columns): - raise ValueError("spend must be the same length as the number of channels") + n_channels = len(model.channel_columns) + spend = np.ones(n_channels) + new_spend_contributions = model.new_spend_contributions(spend=spend) - if len(spend_leading_up) != len(self.channel_columns): - raise ValueError( - "spend_leading_up must be the same length as the number of channels" - ) + Channel contributions from continuously spending 1 unit on each channel. - spend_leading_up = np.tile(spend_leading_up, self.adstock_max_lag).reshape( - self.adstock_max_lag, -1 - ) + .. code-block:: python - spend = ( - np.vstack( - [spend, np.zeros((self.adstock_max_lag, len(self.channel_columns)))] - ) - if one_time - else np.ones((self.adstock_max_lag + 1, len(self.channel_columns))) * spend - ) + n_channels = len(model.channel_columns) + spend = np.ones(n_channels) + new_spend_contributions = model.new_spend_contributions(spend=spend, one_time=False) + + Channel contributions from 1 unit on each channel only once but with 1 unit leading up to the spend. - new_data = np.vstack( - [ - spend_leading_up, - spend, - ] + .. code-block:: python + + n_channels = len(model.channel_columns) + spend = np.ones(n_channels) + spend_leading_up = np.ones(n_channels) + new_spend_contributions = model.new_spend_contributions(spend=spend, spend_leading_up=spend_leading_up) + """ + if spend is None: + spend = self.X.loc[:, self.channel_columns].mean().to_numpy() # type: ignore + + n_channels = len(self.channel_columns) + if len(spend) != n_channels: + raise ValueError("spend must be the same length as the number of channels") + + new_data = create_new_spend_data( + spend=spend, + adstock_max_lag=self.adstock_max_lag, + one_time=one_time, + spend_leading_up=spend_leading_up, ) new_data = ( @@ -929,6 +944,7 @@ def new_spend_contributions( lam = pm.HalfFlat("lam", dims=("channel",)) beta_channel = pm.HalfFlat("beta_channel", dims=("channel",)) + # Same as the forward pass of the model channel_adstock = geometric_adstock( x=new_data, alpha=alpha, diff --git a/pymc_marketing/mmm/utils.py b/pymc_marketing/mmm/utils.py index b34d11459..e8fa633da 100644 --- a/pymc_marketing/mmm/utils.py +++ b/pymc_marketing/mmm/utils.py @@ -1,5 +1,5 @@ import re -from typing import Any, Callable, Dict, List, Tuple, Union +from typing import Any, Callable, Dict, List, Optional, Tuple, Union import numpy as np import numpy.typing as npt @@ -328,3 +328,91 @@ def apply_sklearn_transformer_across_dim( data.attrs = attrs return data + + +def create_new_spend_data( + spend: np.ndarray, + adstock_max_lag: int, + one_time: bool, + spend_leading_up: Optional[np.ndarray] = None, +) -> np.ndarray: + """Create new spend data for the channel forward pass. + + Spends must be the same length as the number of channels. + + .. plot:: + :context: close-figs + + import numpy as np + import matplotlib.pyplot as plt + import arviz as az + + from pymc_marketing.mmm.utils import create_new_spend_data + az.style.use("arviz-white") + + spend = np.array([1, 2]) + adstock_max_lag = 3 + one_time = True + spend_leading_up = np.array([4, 3]) + channel_spend = create_new_spend_data(spend, adstock_max_lag, one_time, spend_leading_up) + + time_since_spend = np.arange(-adstock_max_lag, adstock_max_lag + 1) + + ax = plt.subplot() + ax.plot( + time_since_spend, + channel_spend, + "o", + label=["Channel 1", "Channel 2"] + ) + ax.legend() + ax.set( + xticks=time_since_spend, + yticks=np.arange(0, channel_spend.max() + 1), + xlabel="Time since spend", + ylabel="Spend", + title="One time spend with spends leading up", + ) + plt.show() + + + Parameters + --------- + spend : np.ndarray + The spend data for the channels. + adstock_max_lag : int + The maximum lag for the adstock transformation. + one_time: bool, optional + If the spend is one-time, by default True. + spend_leading_up : np.ndarray, optional + The spend leading up to the first observation, by default None or 0. + + Returns + ------- + np.ndarray + The new spend data for the channel forward pass. + """ + n_channels = len(spend) + + if spend_leading_up is None: + spend_leading_up = np.zeros_like(spend) + + if len(spend_leading_up) != n_channels: + raise ValueError("spend_leading_up must be the same length as the spend") + + spend_leading_up = np.tile(spend_leading_up, adstock_max_lag).reshape( + adstock_max_lag, -1 + ) + + spend = ( + np.vstack([spend, np.zeros((adstock_max_lag, n_channels))]) + if one_time + else np.ones((adstock_max_lag + 1, n_channels)) * spend + ) + + return np.vstack( + [ + spend_leading_up, + spend, + ] + ) diff --git a/tests/mmm/test_utils.py b/tests/mmm/test_utils.py index 91c37e9e3..9539e7f9d 100644 --- a/tests/mmm/test_utils.py +++ b/tests/mmm/test_utils.py @@ -6,6 +6,7 @@ from pymc_marketing.mmm.utils import ( apply_sklearn_transformer_across_dim, compute_sigmoid_second_derivative, + create_new_spend_data, estimate_menten_parameters, estimate_sigmoid_parameters, extense_sigmoid, @@ -262,3 +263,45 @@ def test_apply_sklearn_function_across_dim_error( dim_name="date", combined=True, ) + + +@pytest.mark.parametrize( + "spend, adstock_max_lag, one_time, spend_leading_up, expected_result", + [ + ( + [1, 2], + 2, + True, + None, + [[0, 0], [0, 0], [1, 2], [0, 0], [0, 0]], + ), + ( + [1, 2], + 2, + False, + None, + [[0, 0], [0, 0], [1, 2], [1, 2], [1, 2]], + ), + ( + [1, 2], + 2, + True, + [3, 4], + [[3, 4], [3, 4], [1, 2], [0, 0], [0, 0]], + ), + ], +) +def test_create_new_spend_data( + spend, adstock_max_lag, one_time, spend_leading_up, expected_result +) -> None: + spend = np.array(spend) + if spend_leading_up is not None: + spend_leading_up = np.array(spend_leading_up) + new_spend_data = create_new_spend_data( + spend, adstock_max_lag, one_time, spend_leading_up + ) + + np.testing.assert_allclose( + new_spend_data, + np.array(expected_result), + ) From 6aa264e9f06338577176828327c7053bdaf4326b Mon Sep 17 00:00:00 2001 From: Will Dean Date: Sun, 11 Feb 2024 18:51:05 +0100 Subject: [PATCH 35/40] rerun the baseline images --- ...est_plot_new_spend_contributions_prior.png | Bin 46555 -> 45760 bytes ...nd_contributions_prior_select_channels.png | Bin 36502 -> 35712 bytes 2 files changed, 0 insertions(+), 0 deletions(-) diff --git a/tests/baseline/test_plot_new_spend_contributions_prior.png b/tests/baseline/test_plot_new_spend_contributions_prior.png index 29d21e97b47c5685e1ab18c6ecdb7ba6ad9d8287..d89ddfc37ad9223a442f9b292935829d3d7a41c2 100644 GIT binary patch literal 45760 zcmeFZbySz@`z{EgSRg7WND6FQN~Oy{P!Uj30i_WTMY>Z(1xc|0Nd*N11VK8bR0I^H zq`SL&t_Sz|opoluXV#gsX8s%2+G`shKW{zHeP4CI56>ye(QaVgKtVx4d-{~j1quqP z9tsM|iFMTYleoQWdGJ3`tCOl$%BBWZwmKI26bd?4X2zyg#zwk3ZS*ZHjZ94r^NR5D 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DelayedSaturatedMMM: return DelayedSaturatedMMM( date_column="date", @@ -818,21 +818,48 @@ def test_plot_new_spend_contributions_original_scale(mmm_fitted) -> plt.Figure: return fig -@pytest.mark.mpl_image_compare(style="default") -def test_plot_new_spend_contributions_prior(mmm, toy_X) -> plt.Figure: - mmm.sample_prior_predictive(X_pred=toy_X, extend_idata=True, random_seed=0) +@pytest.fixture(scope="module") +def mmm_with_prior(mmm) -> DelayedSaturatedMMM: + n_chains = 1 + n_samples = 100 + + channels = mmm.channel_columns + n_channels = len(channels) + + idata = az.from_dict( + prior={ + # Arbitrary but close to the default parameterization + "alpha": rng.uniform(size=(n_chains, n_samples, n_channels)), + "lam": rng.exponential(size=(n_chains, n_samples, n_channels)), + "beta_channel": np.abs(rng.normal(size=(n_chains, n_samples, n_channels))), + }, + coords={"channel": channels}, + dims={ + "alpha": ["chain", "draw", "channel"], + "lam": ["chain", "draw", "channel"], + "beta_channel": ["chain", "draw", "channel"], + }, + ) + mmm.idata = idata + return mmm + + +@pytest.mark.mpl_image_compare(style="default") +def test_plot_new_spend_contributions_prior(mmm_with_prior) -> plt.Figure: fig, ax = plt.subplots(figsize=(10, 5)) - mmm.plot_new_spend_contributions(spend_amount=1, prior=True, ax=ax, random_seed=0) + mmm_with_prior.plot_new_spend_contributions( + spend_amount=1, prior=True, ax=ax, random_seed=0 + ) return fig @pytest.mark.mpl_image_compare(style="default") -def test_plot_new_spend_contributions_prior_select_channels(mmm, toy_X) -> plt.Figure: - mmm.sample_prior_predictive(X_pred=toy_X, extend_idata=True, random_seed=0) - +def test_plot_new_spend_contributions_prior_select_channels( + mmm_with_prior, +) -> plt.Figure: fig, ax = plt.subplots(figsize=(10, 5)) - mmm.plot_new_spend_contributions( + mmm_with_prior.plot_new_spend_contributions( spend_amount=1, prior=True, ax=ax, channels=["channel_2"], random_seed=0 ) return fig From 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z0&73Z1k>DM&|owBg86GzRzsr3PaJ2~=^@eGQQGE0{hMi-63HKBr%X@oyg{Su|swQ+#5AY_o47@i`q zDG^k`ntn%%kqpI}m33yZ^58Sqi&bTb!xCZg{1s5iWY}OL6v8wjT#*UUyKfZ;hh&{V zhcpEKhX$=<<{v;_fP|7vp5duEi5ykdWOr@5ZgmSAJPpai&T%X48ssI7dWjlSNPY}E zW-GZ9k{ure*ey`5zsJX#o^JtUdqmjU*w8b7k}Wsv=Jjy8N-G+^4L@+o(lNS27T4v3 z;v=&^t;*0r9G;0NJX9b)7K!`Uiu6t!v@0n$$QnJs=(6eS(^rEBscK?c zTTb4o7rczTeN=H@?1d}C@M4tQ=V1gqRG-FR-=flrD&rg_5j>NrR5N)t6 Date: Fri, 8 Mar 2024 15:37:31 +0100 Subject: [PATCH 38/40] migrate to toml instead of ci/cd --- .github/workflows/ci.yml | 2 +- pyproject.toml | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 140277dd3..be398f956 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -42,7 +42,7 @@ jobs: - name: Run tests run: | pip install -e .[test] - pytest --mpl --mpl-baseline-path=tests/baseline --cov-report=xml --no-cov-on-fail --durations=50 + pytest --cov-report=xml --no-cov-on-fail --durations=50 - name: Check oldest version of PyMC if: ${{ matrix.config.oldest-pymc }} run: python -c "import pymc; assert pymc.__version__ == '${{ env.OLDEST_PYMC_VERSION }}'" diff --git a/pyproject.toml b/pyproject.toml index b625d7d15..bde0c53d4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -77,6 +77,8 @@ addopts = [ "--cov=pymc_marketing", "--cov-report=term-missing", "--color=yes", + "--mpl", + "--mpl-baseline-path=tests/baseline", ] filterwarnings = ["ignore::DeprecationWarning:bokeh.core.property.primitive:37"] testpaths = "tests" From 28a7b2ce63ea619f6cf8f1a837f5d979d648d721 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Fri, 8 Mar 2024 20:01:18 +0100 Subject: [PATCH 39/40] test only is axes --- pyproject.toml | 3 --- tests/mmm/test_delayed_saturated_mmm.py | 33 +++++++++++-------------- 2 files changed, 14 insertions(+), 22 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index bde0c53d4..70b5aa7fd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,7 +42,6 @@ test = [ "lifetimes==0.11.3", "pytest==7.0.1", "pytest-cov==3.0.0", - "pytest-mpl==0.16.1", ] [tool.setuptools] @@ -77,8 +76,6 @@ addopts = [ "--cov=pymc_marketing", "--cov-report=term-missing", "--color=yes", - "--mpl", - "--mpl-baseline-path=tests/baseline", ] filterwarnings = ["ignore::DeprecationWarning:bokeh.core.property.primitive:37"] testpaths = "tests" diff --git a/tests/mmm/test_delayed_saturated_mmm.py b/tests/mmm/test_delayed_saturated_mmm.py index 790b21e91..3b0be9423 100644 --- a/tests/mmm/test_delayed_saturated_mmm.py +++ b/tests/mmm/test_delayed_saturated_mmm.py @@ -808,14 +808,12 @@ def test_new_spend_contributions_prior(original_scale, mmm, toy_X) -> None: new_contributions_property_checks(new_contributions, toy_X, mmm) -@pytest.mark.xfail(reason="The fit results change") -@pytest.mark.mpl_image_compare(style="default") -def test_plot_new_spend_contributions_original_scale(mmm_fitted) -> plt.Figure: - fig, ax = plt.subplots(figsize=(10, 5)) - mmm_fitted.plot_new_spend_contributions( - spend_amount=1, original_scale=True, ax=ax, random_seed=0 +def test_plot_new_spend_contributions_original_scale(mmm_fitted) -> None: + ax = mmm_fitted.plot_new_spend_contributions( + spend_amount=1, original_scale=True, random_seed=0 ) - return fig + + assert isinstance(ax, plt.Axes) @pytest.fixture(scope="module") @@ -845,21 +843,18 @@ def mmm_with_prior(mmm) -> DelayedSaturatedMMM: return mmm -@pytest.mark.mpl_image_compare(style="default") -def test_plot_new_spend_contributions_prior(mmm_with_prior) -> plt.Figure: - fig, ax = plt.subplots(figsize=(10, 5)) - mmm_with_prior.plot_new_spend_contributions( - spend_amount=1, prior=True, ax=ax, random_seed=0 +def test_plot_new_spend_contributions_prior(mmm_with_prior) -> None: + ax = mmm_with_prior.plot_new_spend_contributions( + spend_amount=1, prior=True, random_seed=0 ) - return fig + assert isinstance(ax, plt.Axes) -@pytest.mark.mpl_image_compare(style="default") def test_plot_new_spend_contributions_prior_select_channels( mmm_with_prior, -) -> plt.Figure: - fig, ax = plt.subplots(figsize=(10, 5)) - mmm_with_prior.plot_new_spend_contributions( - spend_amount=1, prior=True, ax=ax, channels=["channel_2"], random_seed=0 +) -> None: + ax = mmm_with_prior.plot_new_spend_contributions( + spend_amount=1, prior=True, channels=["channel_2"], random_seed=0 ) - return fig + + assert isinstance(ax, plt.Axes) From a523f00cf2a90e32d333b98bd9f2238a864ee561 Mon Sep 17 00:00:00 2001 From: Will Dean Date: Fri, 8 Mar 2024 20:04:44 +0100 Subject: [PATCH 40/40] remove the images --- ...t_new_spend_contributions_original_scale.png | Bin 43701 -> 0 bytes .../test_plot_new_spend_contributions_prior.png | Bin 45508 -> 0 bytes ...pend_contributions_prior_select_channels.png | Bin 32971 -> 0 bytes 3 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 tests/baseline/test_plot_new_spend_contributions_original_scale.png delete mode 100644 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