{ "cells": [ { "cell_type": "markdown", "id": "plotting-00", "metadata": {}, "source": [ "# Plotting tutorial\n", "\n", "ProteoPy's `pr.pl` functions help you inspect sample coverage, missing\n", "measurements, abundance distributions, and patterns across experimental\n", "groups. This tutorial is an overview: each example asks a small question,\n", "while the [plotting API](https://proteopy.readthedocs.io/en/latest/api/pl.html)\n", "documents the full set of options.\n", "\n", "**General plotting concepts**\n", "\n", "An AnnData object stores samples in rows and proteins or peptides in columns.\n", "`.X` contains measured intensities, `.obs` contains sample annotations, and\n", "`.var` contains feature annotations. Sample labels come from\n", "`.obs[\"sample_id\"]`; protein labels come from `.var[\"protein_id\"]`.\n", "Detection counts describe **coverage**, whereas intensities describe\n", "**abundance**. More detected proteins does not necessarily mean that the\n", "proteins shared between samples are more abundant.\n", "\n", "We use the protein-level erythropoiesis data from\n", "[Karayel et al. (2020)](https://doi.org/10.15252/msb.20209813), covering five\n", "differentiation stages. The loader downloads and caches the data on first\n", "use. \n" ] }, { "cell_type": "code", "execution_count": 1, "id": "plotting-01", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:23.878029Z", "iopub.status.busy": "2026-09-24T14:12:23.877882Z", "iopub.status.idle": "2026-09-24T14:12:29.065151Z", "shell.execute_reply": "2026-09-24T14:12:29.064782Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/homebrew/Caskroom/miniforge/base/envs/proteopy1/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] }, { "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 20 × 7758\n", " obs: 'sample_id', 'cell_type', 'replicate'\n", " var: 'protein_id', 'gene_id'" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "import proteopy as pr\n", "\n", "adata = pr.datasets.karayel_2020()\n", "raw_intensities = adata.X.copy() # Check preservation at the end.\n", "adata" ] }, { "cell_type": "markdown", "id": "plotting-02", "metadata": {}, "source": [ "**Ordering samples and groups**\n", "\n", "The intended ProteoPy convention is lexicographic ordering of string-coerced\n", "labels for ordinary string/object annotations (`F1`, `F10`, `F2`), and\n", "category order for categorical annotations. Store a biological sequence\n", "as a pandas categorical rather than relying on the object's row order.\n", "An explicit `order` takes precedence over metric sorting such as\n", "`ascending`; otherwise the annotation order applies. Dendrograms impose\n", "their own order when clustering is enabled.\n", "\n", "
\n", "

Current ordering exceptions

\n", "

Some functions still retain input order or sort by counts. In particular,\n", "n_proteins_per_sample can retain row order within groups, and\n", "n_samples_per_category sorts by counts by default. Their current\n", "order handling can append unlisted items rather than subset\n", "them. These examples pass complete explicit orders where needed; consult\n", "each function's API before relying on subsetting.

\n", "
" ] }, { "cell_type": "code", "execution_count": 2, "id": "plotting-03", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:29.076063Z", "iopub.status.busy": "2026-09-24T14:12:29.074984Z", "iopub.status.idle": "2026-09-24T14:12:29.088211Z", "shell.execute_reply": "2026-09-24T14:12:29.087843Z" } }, "outputs": [ { "data": { "text/html": [ "
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sample_idcell_typereplicate
LBaso_rep1LBaso_rep1LBasorep1
LBaso_rep2LBaso_rep2LBasorep2
LBaso_rep3LBaso_rep3LBasorep3
LBaso_rep4LBaso_rep4LBasorep4
Ortho_rep1Ortho_rep1Orthorep1
\n", "
" ], "text/plain": [ " sample_id cell_type replicate\n", "LBaso_rep1 LBaso_rep1 LBaso rep1\n", "LBaso_rep2 LBaso_rep2 LBaso rep2\n", "LBaso_rep3 LBaso_rep3 LBaso rep3\n", "LBaso_rep4 LBaso_rep4 LBaso rep4\n", "Ortho_rep1 Ortho_rep1 Ortho rep1" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "stage_order = [\"Progenitor\", \"ProE&EBaso\", \"LBaso\", \"Poly\", \"Ortho\"]\n", "adata.obs[\"cell_type\"] = pd.Categorical(\n", " adata.obs[\"cell_type\"],\n", " categories=stage_order,\n", " ordered=True,\n", ")\n", "stage_colors = dict(zip(stage_order, plt.get_cmap(\"tab10\").colors[:5]))\n", "adata.obs[[\"sample_id\", \"cell_type\", \"replicate\"]].head()" ] }, { "cell_type": "markdown", "id": "plotting-04", "metadata": {}, "source": [ "
\n", "

Missing values are not measured zeros

\n", "

Intensity plots generally omit missing measurements; completeness and\n", "detection plots count their absence. Measured zeros usually remain valid\n", "observations unless a function's zero-handling option says otherwise.\n", "The binary heatmap uses a detection threshold and needs an explicit\n", "missing-value encoding; the correlation heatmap requires complete input\n", "or a fill value. We explain those choices alongside their examples.\n", "Missing sample annotations are a separate issue: functions may reject,\n", "omit, or display them as a missing category. UpSet requires nonmissing\n", "category labels.

\n", "
\n", "\n", "**Basic parameters**\n", "\n", "Parameters are available where relevant, not uniformly across every function.\n", "\n", "| Parameter | How to use it |\n", "|---|---|\n", "| `order_by` | Arrange individual samples by an annotation without pooling them. |\n", "| `group_by` | Summarize or pool measurements by an annotation; the summary depends on the plot. |\n", "| `order`, `ascending` | Request an explicit sequence or a metric-based sort; check function-specific subsetting behavior. |\n", "| `color_scheme` | Use a palette or a label-to-color dictionary to keep groups recognizable. |\n", "| `show` | Use `False` while composing a figure, then call `plt.show()`. |\n", "| `ax` | Supply an Axes to compatible functions, or use `None` to create one. Some legacy functions instead take a boolean return flag. |\n", "| `figsize` | Set a newly created figure's width and height in inches; size supplied figures with Matplotlib. |\n", "| `save` | Pass a filename such as `\"coverage.pdf\"` to save a figure. |\n", "| `print_stats` | Print the underlying summaries when supported. |\n", "| `log_transform`, `z_transform` | Transform values for display; use only where supported and interpret the transformed scale. |\n", "| `zero_to_na`, `fill_na` | Change missing-value handling locally; names and availability differ between functions. |\n", "| `layer` | Select an alternate matrix only in functions that support it; all examples here use `.X`. |\n", "\n", "**Arrange samples versus summarize groups**\n", "\n", "In `n_proteins_per_sample`, `order_by` keeps one bar per sample, while\n", "`group_by` shows the mean count per group with standard-deviation error\n", "bars. These two arguments are mutually exclusive. This is not the number\n", "of distinct proteins found anywhere in the group.\n", "\n", "The two panels also demonstrate composition: create the figure, pass each\n", "Axes explicitly, and display it once. Samples within each stage retain\n", "their existing sequence in this implementation.\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "plotting-05", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:29.089962Z", "iopub.status.busy": "2026-09-24T14:12:29.089844Z", "iopub.status.idle": "2026-09-24T14:12:29.332400Z", "shell.execute_reply": "2026-09-24T14:12:29.332078Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", "pr.pl.n_proteins_per_sample(\n", " adata,\n", " order_by=\"cell_type\",\n", " order=stage_order,\n", " color_scheme=stage_colors,\n", " title=\"\",\n", " ax=axes[0],\n", " show=False,\n", ")\n", "pr.pl.n_proteins_per_sample(\n", " adata,\n", " group_by=\"cell_type\",\n", " order=stage_order,\n", " color_scheme=stage_colors,\n", " title=\"\",\n", " xlabel_rotation=30,\n", " ax=axes[1],\n", " show=False,\n", ")\n", "axes[0].set_title(\"Individual samples\", pad=30)\n", "axes[1].set_title(\"Mean ± SD per stage\", pad=30)\n", "fig.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "plotting-06", "metadata": {}, "source": [ "**Two ways to work with an Axes**\n", "\n", "When a function accepts an Axes object, it draws on and returns that same\n", "object. Use `is` to check identity. This lets you customize labels or\n", "combine plots with other Matplotlib artists.\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "plotting-07", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:29.334142Z", "iopub.status.busy": "2026-09-24T14:12:29.333916Z", "iopub.status.idle": "2026-09-24T14:12:29.400071Z", "shell.execute_reply": "2026-09-24T14:12:29.399717Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, supplied_ax = plt.subplots(figsize=(8, 4))\n", "returned_ax = pr.pl.n_proteins_per_sample(\n", " adata,\n", " group_by=\"cell_type\",\n", " order=stage_order,\n", " color_scheme=stage_colors,\n", " ax=supplied_ax,\n", " show=False,\n", ")\n", "assert returned_ax is supplied_ax\n", "supplied_ax.set_ylabel(\"Detected proteins (mean ± SD)\")\n", "fig.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "plotting-08", "metadata": {}, "source": [ "With `ax=None`, the function creates a new figure and returns its Axes.\n", "That is a separate object, not the previously supplied Axes. Save a\n", "customized figure with `returned_ax.figure.savefig(\"coverage.pdf\")`.\n", "\n", "The object-based interface below applies to `n_proteins_per_sample`.\n", "For example, `intensity_hist`, `box`, and `sample_correlation_matrix`\n", "currently use a boolean `ax` flag instead. UpSet returns a dictionary of\n", "named axes and has no supplied-Axes argument.\n" ] }, { "cell_type": "code", "execution_count": 5, "id": "plotting-09", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:29.401832Z", "iopub.status.busy": "2026-09-24T14:12:29.401652Z", "iopub.status.idle": "2026-09-24T14:12:29.465623Z", "shell.execute_reply": "2026-09-24T14:12:29.465307Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "returned_ax = pr.pl.n_proteins_per_sample(\n", " adata,\n", " group_by=\"cell_type\",\n", " order=stage_order,\n", " color_scheme=stage_colors,\n", " ax=None,\n", " show=False,\n", ")\n", "assert returned_ax is not supplied_ax\n", "returned_ax.set_ylabel(\"Detected proteins (mean ± SD)\")\n", "returned_ax.figure.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "plotting-10", "metadata": {}, "source": [ "## Protein level\n", "\n", "The examples below use the same raw Karayel data. Protein identifiers can\n", "represent protein groups; a plotted feature need not be a single gene.\n", "These are exploratory plots, not evidence of statistical significance.\n" ] }, { "cell_type": "markdown", "id": "plotting-11", "metadata": {}, "source": [ "**`n_samples_per_category`**\n", "\n", "Check that sample numbers are balanced across stages before comparing distributions. A balanced count does not by itself establish independent replication; interpret replicates using the study design.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.n_samples_per_category.html)\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "plotting-12", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:29.467296Z", "iopub.status.busy": "2026-09-24T14:12:29.467070Z", "iopub.status.idle": "2026-09-24T14:12:29.514635Z", "shell.execute_reply": "2026-09-24T14:12:29.514310Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pr.pl.n_samples_per_category(\n", " adata,\n", " category_key=\"cell_type\",\n", " order=stage_order,\n", " color_scheme=stage_colors,\n", " xlabel_rotation=30,\n", ")" ] }, { "cell_type": "markdown", "id": "plotting-13", "metadata": {}, "source": [ "**`n_cat1_per_cat2_hist`**\n", "\n", "Count distinct replicate labels per stage. This histogram summarizes how many stages have each replicate count; it does not identify the individual stages. `axis=0` selects observation annotations. All five stages have four replicate labels; an explicit bin range centers the single bar on four.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.n_cat1_per_cat2_hist.html)\n" ] }, { "cell_type": "code", "execution_count": 7, "id": "plotting-14", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:29.516100Z", "iopub.status.busy": "2026-09-24T14:12:29.515937Z", "iopub.status.idle": "2026-09-24T14:12:29.572711Z", "shell.execute_reply": "2026-09-24T14:12:29.572402Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "replicate_ax = pr.pl.n_cat1_per_cat2_hist(\n", " adata,\n", " first_category=\"replicate\",\n", " second_category=\"cell_type\",\n", " axis=0,\n", " bin_width=1,\n", " bin_range=(3.5, 4.5),\n", " show=False,\n", ")\n", "\n", "replicate_ax.set_xticks([4])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "plotting-15", "metadata": {}, "source": [ "**`n_proteins_per_sample`**\n", "\n", "Compare detection depth across samples to spot unusually low coverage. A nonmissing zero counts as measured unless `zero_to_na=True`. Here a complete sample order makes the lexicographic sequence explicit.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.n_proteins_per_sample.html)\n" ] }, { "cell_type": "code", "execution_count": 8, "id": "plotting-16", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:29.574608Z", "iopub.status.busy": "2026-09-24T14:12:29.574464Z", "iopub.status.idle": "2026-09-24T14:12:29.696466Z", "shell.execute_reply": "2026-09-24T14:12:29.696089Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sample_order = sorted(adata.obs[\"sample_id\"].astype(str))\n", "pr.pl.n_proteins_per_sample(\n", " adata,\n", " order=sample_order,\n", " figsize=(10, 4),\n", ")" ] }, { "cell_type": "markdown", "id": "plotting-17", "metadata": {}, "source": [ "`percentage=True` expresses coverage relative to all protein features in\n", "this object, not to every protein in the organism. Grouped error bars\n", "still describe between-sample variation in coverage.\n" ] }, { "cell_type": "code", "execution_count": 9, "id": "plotting-18", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:29.698887Z", "iopub.status.busy": "2026-09-24T14:12:29.698715Z", "iopub.status.idle": "2026-09-24T14:12:29.773237Z", "shell.execute_reply": "2026-09-24T14:12:29.772909Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pr.pl.n_proteins_per_sample(\n", " adata,\n", " group_by=\"cell_type\",\n", " order=stage_order,\n", " percentage=True,\n", " color_scheme=stage_colors,\n", " xlabel_rotation=30,\n", ")" ] }, { "cell_type": "markdown", "id": "plotting-19", "metadata": {}, "source": [ "**`completeness_per_sample`**\n", "\n", "Inspect the distribution of the fraction of measured proteins per sample. The histogram summarizes coverage but hides sample identities; use the preceding bar chart to identify individual low-coverage samples.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.completeness_per_sample.html)\n" ] }, { "cell_type": "code", "execution_count": 10, "id": "plotting-20", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:29.775300Z", "iopub.status.busy": "2026-09-24T14:12:29.775060Z", "iopub.status.idle": "2026-09-24T14:12:30.129825Z", "shell.execute_reply": "2026-09-24T14:12:30.125130Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Global:\n", " count mean median std min max\n", " 20 0.8927 0.9230 0.0803 0.7077 0.9751\n", "\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pr.pl.completeness_per_sample(adata, print_stats=True)" ] }, { "cell_type": "markdown", "id": "plotting-21", "metadata": {}, "source": [ "**`completeness_per_var`**\n", "\n", "Ask how consistently proteins are measured across samples. Low completeness can reflect stage-specific detection as well as technical missingness. The generic `pr.pl.completeness(adata, axis=0)` provides the per-variable interface; `axis=1` selects samples.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.completeness_per_var.html)\n" ] }, { "cell_type": "code", "execution_count": 11, "id": "plotting-22", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:30.132094Z", "iopub.status.busy": "2026-09-24T14:12:30.131860Z", "iopub.status.idle": "2026-09-24T14:12:30.268023Z", "shell.execute_reply": "2026-09-24T14:12:30.267595Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Global:\n", " count mean median std min max\n", " 7758 0.8927 1.0000 0.2102 0.0000 1.0000\n", "\n" ] }, { "data": { "image/png": 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JiZFDhw5JRESEp2zu3LmlUaNGsmrVKnN/w4YNcuHCBZ8yuq5q1ap5yqxevdp02biBRNWvX98sc8skRbuFYmNjfW4AACCLhhINCv/9739l0aJFpvVCQ0jDhg3l2LFj5melLSPe9L77mP6fK1cuKVSoULJlihUrlmjbuswtk5RRo0Z5xqDoTVtfAABAFg0lrVu3loceekiqV69uul++++47TzeNSwe/+nfr+C/z518mqfIprWfIkCGme8i97d27N1WvDQAA3GDdN9509owGFO3ScceZ+LdmHDlyxNN6omUSEhLM7Jrkyhw+fDjRto4ePZqoFcabdhUVLFjQ5wYAAAIklOg4Dh2YWrJkSTPGRAPFkiVLPI9rAFmxYoXp4lF16tSRnDlz+pTRGTxbtmzxlNEBrdrSERUV5Smzdu1as8wtAwAAAnz2zaBBg6Rt27ZSrlw507rx2muvmQGlnTt3Nl0rOt135MiRUqlSJXPTn/Ply2em+Cod69GlSxcZOHCghISESOHChc063e4gVblyZWnVqpV069ZNpkyZYpZ1797dTBtm5g0AAPbI1FCiJzl77LHH5J9//pGiRYuaWTE6dbd8+fLm8cGDB8vZs2elV69epotGB8YuXrxYChQo4FnH+PHjzbTiDh06mLLNmjWTmTNnSo4cOTxl5syZI3379vXM0tETrOm5TwAAgD2yOTriEynSFhxtmdFuH8aXAACygqioKBkauVlCQqt4lh2L2SavP1hdwsPDr/sx1KoxJQAAIHARSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACoQSAABgBUIJAACwAqEEAABYgVACAACsQCgBAABWIJQAAAArEEoAAIAVCCUAAMAKhBIAAGAFQgkAALACoQQAAFiBUAIAAKxAKAEAAFYglAAAACsQSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACoQSAABgBUIJAACwAqEEAABYgVACAACsQCgBAABWIJQAAAArEEoAAIAVCCUAAMAKhBIAAGAFQgkAALACoQQAAFiBUAIAAKxAKAEAAFYglAAAACsQSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACoQSAABgBWtCyahRoyRbtmzSv39/zzLHcWT48OFSqlQpyZs3rzRu3Fi2bt3q87zz589Lnz59pEiRIpI/f35p166d7Nu3z6fMiRMnpFOnThIcHGxu+vPJkyev22sDAAA3SChZt26dTJ06VWrUqOGzfPTo0TJu3DiZNGmSKVOiRAlp0aKFxMXFecpoiImMjJR58+bJypUrJT4+Xtq0aSOXLl3ylOnYsaNER0fLwoULzU1/1mACAADskemhREPE448/LtOmTZNChQr5tJJMmDBBhg4dKu3bt5dq1arJRx99JGfOnJG5c+eaMqdOnZLp06fL2LFjpXnz5lK7dm2ZPXu2bN68WZYuXWrKbN++3QSRDz74QBo0aGBuuq1vv/1WduzYkWmvGwAAWBZKnn32WbnvvvtMqPAWExMjhw4dkoiICM+y3LlzS6NGjWTVqlXm/oYNG+TChQs+ZbSrRwOMW2b16tWmy6ZevXqeMvXr1zfL3DJJ0W6h2NhYnxsAAMg4QZKJtMtl48aNpmvGnwYSVbx4cZ/lev+vv/7ylMmVK5dPC4tbxn2+/l+sWLFE69dlbpkrjXEZMWJEGl8ZAAC4YVpK9u7dK/369TPdLXny5LliOR386k27dfyX+fMvk1T5lNYzZMgQ0z3k3nR/AQBAFgwl2vVy5MgRqVOnjgQFBZnbihUr5J133jE/uy0k/q0Z+hz3MR34mpCQYGbXJFfm8OHDibZ/9OjRRK0w3rSrqGDBgj43AACQBUNJs2bNzIBUnQnj3urWrWsGverPFStWNIFiyZIlnudoANHg0rBhQ3NfA03OnDl9yhw8eFC2bNniKaMDW7WlIyoqylNm7dq1ZplbBgAABPCYkgIFCpgBqd70PCMhISGe5Trdd+TIkVKpUiVz05/z5ctnpvgqHazapUsXGThwoHle4cKFZdCgQVK9enXPwNnKlStLq1atpFu3bjJlyhSzrHv37mbacFhY2HV/3QAAwMKBrikZPHiwnD17Vnr16mW6aHQGzeLFi02gcY0fP95093To0MGU1RaYmTNnSo4cOTxl5syZI3379vXM0tETrOm5TwAAgD2yOTriEynSKcHaMqPdPowvAQBkBVFRUTI0crOEhFbxLDsWs01ef7C6hIeHX/djaKafpwQAAEARSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACoQSAABgBUIJAACwAqEEAABYgVACAACsQCgBAABWIJQAAAArEEoAAIAVCCUAAMAKhBIAAGAFQgkAALACoQQAAFiBUAIAAKxAKAEAAFYglAAAACsQSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACoQSAABgBUIJAACwAqEEAABYgVACAACsQCgBAABWIJQAAAArEEoAAIAVCCUAAMAKhBIAAGAFQgkAALACoQQAAFiBUAIAAKxAKAEAAFYglAAAACsQSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACpkaSiZPniw1atSQggULmluDBg3k+++/9zzuOI4MHz5cSpUqJXnz5pXGjRvL1q1bfdZx/vx56dOnjxQpUkTy588v7dq1k3379vmUOXHihHTq1EmCg4PNTX8+efLkdXudAADA8lBSpkwZeeONN2T9+vXm1rRpU7n//vs9wWP06NEybtw4mTRpkqxbt05KlCghLVq0kLi4OM86+vfvL5GRkTJv3jxZuXKlxMfHS5s2beTSpUueMh07dpTo6GhZuHChuenPGkwAAIA9sjnaHGGRwoULy5gxY+Tpp582LSQaOv7zn/94WkWKFy8ub775pvTo0UNOnTolRYsWlVmzZskjjzxiyhw4cEDKli0rCxYskJYtW8r27dulSpUqsmbNGqlXr54poz9rq8zvv/8uYWFhV7VfsbGxppVFt6mtOgAA3OiioqJkaORmCQmt4ll2LGabvP5gdQkPD0+37VztMdSaMSXasqGtHadPnzaBISYmRg4dOiQRERGeMrlz55ZGjRrJqlWrzP0NGzbIhQsXfMpokKlWrZqnzOrVq01FuIFE1a9f3yxzyyRFA5BWovcNAABknDSFkooVK8qxY8cSLddxGvpYamzevFluuukmEzh69uxpumK0ZUMDidKWEW96331M/8+VK5cUKlQo2TLFihVLtF1d5pZJyqhRozxjUPSmrS8AAMCyULJnzx6fMRverQv79+9P1bq0+0THeGiXyjPPPCOdO3eWbdu2eR7Pli2bT3ntbfJf5s+/TFLlU1rPkCFDTDOTe9u7d2+qXhcAAEidoNQU/vrrrz0/L1q0yLQguDSk/PDDD1KhQoVU7YC2dNx6663m57p165oBrW+//bZnHIm2ZpQsWdJT/siRI57WEx34mpCQYGbXeLeWaJmGDRt6yhw+fDjRdo8ePZqoFcabttzoDQAAWBhKHnjgAfO/tjBoi4a3nDlzmkAyduzYa9ohbcHQFpfQ0FATKJYsWSK1a9c2j2kAWbFihRnoqurUqWO2q2U6dOhglh08eFC2bNliZu4oHZ+iLR06mMcdtLN27VqzzA0uAADgBgslly9fNv9rYNAWDT03yLV48cUXpXXr1ma8hk7z1YGuy5cvN9N2NfjozJuRI0dKpUqVzE1/zpcvn5niq7SlpkuXLjJw4EAJCQkxM3cGDRok1atXl+bNm5sylStXllatWkm3bt1kypQpZln37t3NtOGrnXkDAAAsCyUunRmTHrRbRc8Xoq0bGjD0RGoaSPRcJGrw4MFy9uxZ6dWrl+mi0Rk0ixcvlgIFCnjWMX78eAkKCjItJVq2WbNmMnPmTMmRI4enzJw5c6Rv376eWTp6gjU99wkAAMgC5ynR8SN60/EbbguK68MPP5SshvOUAACymijLzlOSppaSESNGyKuvvmoGpuog1JRmwwAAAKQkTaHk/fffN10knKodAABk6nlKdBYMM1cAAECmh5KuXbvK3Llz03VHAABAYEtT9825c+dk6tSpsnTpUjNjRs8V4k2v7AsAAJDhoWTTpk1Sq1Yt87OeqMwbg14BAMB1CyU//vhjmjYGAACQrmNKAAAArGgpadKkSbLdNMuWLbuWfQIAAAEoTaHEHU/iunDhgkRHR5vxJf4X6gMAAMiwUKLXm0nK8OHDJT4+Pi2rBAAAAS5dx5Q88cQTWfK6NwAA4AYLJatXr5Y8efKk5yoBAECASFP3Tfv27X3u64WGDx48KOvXr5eXX345vfYNAAAEkDSFEr38sLfs2bNLWFiYuXJwREREeu0bAAAIIGkKJTNmzEj/PQEAAAEtTaHEtWHDBtm+fbs5Z0mVKlWkdu3a6bdnAAAgoKQplBw5ckQeffRRWb58udx8881mTMmpU6fMSdXmzZsnRYsWTf89BQAAWVqaZt/06dNHYmNjZevWrXL8+HE5ceKEOXGaLuvbt2/67yUAAMjy0tRSsnDhQlm6dKlUrlzZs0y7b959910GugIAgOvXUnL58mXJmTNnouW6TB8DAAC4LqGkadOm0q9fPzlw4IBn2f79++W5556TZs2apWWVAAAgwKUplEyaNEni4uKkQoUKcsstt8itt94qoaGhZtnEiRPTfy8BAECWl6YxJWXLlpWNGzfKkiVL5Pfffzezb3RMSfPmzdN/DwEAQEBIVUvJsmXLTPjQWTaqRYsWZiaOzri58847pWrVqvLzzz9n1L4CAIAsLFWhZMKECdKtWzcpWLBgkqee79Gjh4wbNy499w8AAASIVIWS3377TVq1anXFx/W6N3qWVwAAgAwNJYcPH05yKrArKChIjh49muqdAAAASFUoKV26tGzevPmKj2/atElKlixJrQIAgIwNJffee6+88sorcu7cuUSPnT17VoYNGyZt2rRJ/V4AAICAl6opwS+99JLMnz9fbrvtNundu7eEhYWZKwTrlYL1FPOXLl2SoUOHBnylAgCADA4lxYsXl1WrVskzzzwjQ4YMMecnURpMWrZsKe+9954pAwAAkOEnTytfvrwsWLDAXBn4zz//NMGkUqVKUqhQoVRvHAAA4JrO6Ko0hOgJ0wAAADLt2jcAAADpjVACAACsQCgBAABWIJQAAAArEEoAAIAVCCUAAMAKhBIAAGAFQgkAALACoQQAAFiBUAIAAKxAKAEAAFYglAAAACsQSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACoQSAABgBUIJAACwAqEEAABYIVNDyahRo+TOO++UAgUKSLFixeSBBx6QHTt2+JRxHEeGDx8upUqVkrx580rjxo1l69atPmXOnz8vffr0kSJFikj+/PmlXbt2sm/fPp8yJ06ckE6dOklwcLC56c8nT568Lq8TAABYHkpWrFghzz77rKxZs0aWLFkiFy9elIiICDl9+rSnzOjRo2XcuHEyadIkWbdunZQoUUJatGghcXFxnjL9+/eXyMhImTdvnqxcuVLi4+OlTZs2cunSJU+Zjh07SnR0tCxcuNDc9GcNJgAAwA5BmblxDQfeZsyYYVpMNmzYIP/6179MK8mECRNk6NCh0r59e1Pmo48+kuLFi8vcuXOlR48ecurUKZk+fbrMmjVLmjdvbsrMnj1bypYtK0uXLpWWLVvK9u3bzbY0/NSrV8+UmTZtmjRo0MC0zISFhWXCqwcAANaOKdGAoQoXLmz+j4mJkUOHDpnWE1fu3LmlUaNGsmrVKnNfA8yFCxd8ymhXT7Vq1TxlVq9ebbps3ECi6tevb5a5Zfxpl1BsbKzPDQAABEAo0VaRAQMGyN13320ChdJAorRlxJvedx/T/3PlyiWFChVKtoy2wPjTZW6ZpMa7uONP9KYtLwAAIABCSe/evWXTpk3y8ccfJ3osW7ZsiQKM/zJ//mWSKp/ceoYMGWJabtzb3r17U/FqAADADRlKdObM119/LT/++KOUKVPGs1wHtSr/1owjR454Wk+0TEJCgpldk1yZw4cPJ9ru0aNHE7XCeHcTFSxY0OcGAACyaCjRlgptIZk/f74sW7ZMQkNDfR7X+xoodGaOSwOIztpp2LChuV+nTh3JmTOnT5mDBw/Kli1bPGV0QKu2dkRFRXnKrF271ixzywAAgACefaPTgXUWzVdffWXOVeK2iOgYDj0niXat6HTfkSNHSqVKlcxNf86XL5+Z4uuW7dKliwwcOFBCQkLMINlBgwZJ9erVPbNxKleuLK1atZJu3brJlClTzLLu3bubacPMvAEAwA6ZGkomT55s/tcTovlPDX7qqafMz4MHD5azZ89Kr169TBeNzqBZvHixCTGu8ePHS1BQkHTo0MGUbdasmcycOVNy5MjhKTNnzhzp27evZ5aOnmBNz30CAADskM3RPhSkSKcEa6uMdvkwvgQAkBVERUXJ0MjNEhJaxbPsWMw2ef3B6hIeHn7dj6FWDHQFAAAglAAAACsQSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACoQSAABgBUIJAACwAqEEAABYgVACAACsQCgBAABWIJQAAAArEEoAAIAVCCUAAMAKhBIAAGAFQgkAALACoQQAAFiBUAIAAKxAKAEAAFYglAAAACsQSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACoQSAABgBUIJAACwAqEEAABYgVACAACsQCgBAABWIJQAAAArEEoAAIAVCCUAAMAKhBIAAGAFQgkAALACoQQAAFiBUAIAAKxAKAEAAFYglAAAACsQSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACpkaSn766Sdp27atlCpVSrJlyyZffvmlz+OO48jw4cPN43nz5pXGjRvL1q1bfcqcP39e+vTpI0WKFJH8+fNLu3btZN++fT5lTpw4IZ06dZLg4GBz059Pnjx5XV4jAAC4AULJ6dOnpWbNmjJp0qQkHx89erSMGzfOPL5u3TopUaKEtGjRQuLi4jxl+vfvL5GRkTJv3jxZuXKlxMfHS5s2beTSpUueMh07dpTo6GhZuHChuenPGkwAAIA9gjJz461btza3pGgryYQJE2To0KHSvn17s+yjjz6S4sWLy9y5c6VHjx5y6tQpmT59usyaNUuaN29uysyePVvKli0rS5culZYtW8r27dtNEFmzZo3Uq1fPlJk2bZo0aNBAduzYIWFhYUluX1tg9OaKjY3NgBoAAADWjymJiYmRQ4cOSUREhGdZ7ty5pVGjRrJq1Spzf8OGDXLhwgWfMtrVU61aNU+Z1atXmy4bN5Co+vXrm2VumaSMGjXK092jNw06AAAgAEOJBhKlLSPe9L77mP6fK1cuKVSoULJlihUrlmj9uswtk5QhQ4aYlhj3tnfv3nR5XQAAwMLum6uhA2D9u3X8l/nzL5NU+ZTWo60yegMAAAHeUqKDWpV/a8aRI0c8rSdaJiEhwcyuSa7M4cOHE63/6NGjiVphAABA5rE2lISGhppAsWTJEs8yDSArVqyQhg0bmvt16tSRnDlz+pQ5ePCgbNmyxVNGB7Rq90tUVJSnzNq1a80ytwwAAAjw7hudvvvnn3/6DG7V6bqFCxeWcuXKmem+I0eOlEqVKpmb/pwvXz4zxVfpANQuXbrIwIEDJSQkxDxv0KBBUr16dc9snMqVK0urVq2kW7duMmXKFLOse/fuZtrwlWbeAACAAAsl69evlyZNmnjuDxgwwPzfuXNnmTlzpgwePFjOnj0rvXr1Ml00OoNm8eLFUqBAAc9zxo8fL0FBQdKhQwdTtlmzZua5OXLk8JSZM2eO9O3b1zNLR0+wdqVzowAAgMyRzdERn0iRnqdEW2a026dgwYLUGADghhcVFSVDIzdLSGgVz7JjMdvk9QerS3h4+HU/hlo7pgQAAAQWQgkAALACoQQAAFiBUAIAAKxAKAEAAFYglAAAACsQSgAAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAKxBKAACAFQglAADACoQSAABgBUIJAACwAqEEAABYgVACAACsQCgBAABWIJQAAAArEEoAAIAVCCUAAMAKhBIAAGAFQgkAALACoQQAAFiBUAIAAKxAKAEAAFYglAAAACsQSgAAgBUIJQAAwAqEEgAAYAVCCQAAsEJQZu8AAABILCEhQaKjoxMtr1WrluTKlStLVhmhBAAAC0VHR0vvd7+S4FIVPctOHdgtk54VCQ8Pl6yIUAIAgKWCS1WUkNAqEigYUwIAAKxAKAEAAFYglAAAACsQSgAAgBUIJQAAwAqEEgAAYAWmBAMAcJ1OfpaVT3yWHgglAICAlxEBwv/kZ1n9xGfpgVACALihDvY3UoAItJOfXStCCQAgw2TEwZ4AkXURSgAAGSojWgtogciamH0DAACsQCgBAABWIJQAAAArMKYEAAIU59GAbQglABCgOI8GbEMoAYAAbpFgFgtsQigBgBuwRcLmoAOkFaEEAK7DwT69WyToekFWRChBlnEjfHNMah9Tu583wutMSqCfbjwj0PWCrIZQgizjRmgi99/HtOzn9Thopkd48sfpxgGkhFCCLOVGaCJPj33M6G/I6RGeksLpxgEkJ6BCyXvvvSdjxoyRgwcPStWqVWXChAlyzz33ZPZuWe9GaXbPKIHaRB6orxtA5gmYUPLJJ59I//79TTC56667ZMqUKdK6dWvZtm2blCtXTrKKG6WP/UbqtwcAXB8BE0rGjRsnXbp0ka5du5r72kqyaNEimTx5sowaNUqyihvpkt58EwcABFwo0daDDRs2yAsvvOCzPCIiQlatWpXkc86fP29urlOnTpn/Y2Nj03Xf1q9fn67r+/333+VSwnm5eP6sua8/6zbi4+OvaZ3H9+z2rDP24B5Zv/4860yHukxLfWbE+5ER+3k99pt1Xlt9ZsZnifc97b/rGfEeXWkb8fGh6Xq8c9flOE7yBZ0AsH//fq0F55dffvFZ/vrrrzu33XZbks8ZNmyYeQ436oDPAJ8BPgN8BvgMSLrUwd69e5M9XgdES4krW7ZsPvc1sfkvcw0ZMkQGDBjguX/58mU5fvy4hISEXPE5aUmOZcuWlb1790rBggXTZZ2BjPqkLm3FZ5P6DPTPpuM4EhcXJ6VKlUq2XECEkiJFikiOHDnk0KFDPsuPHDkixYsXT/I5uXPnNjdvN998c4bsn34QCCXUp434bFKfNuPzeWPVZXBwcIplsksA0JknderUkSVLlvgs1/sNGzbMtP0CAAAB1lKitCumU6dOUrduXWnQoIFMnTpV/v77b+nZs2dm7xoAAAikUPLII4/IsWPH5NVXXzUnT6tWrZosWLBAypcvn2n7pN1Dw4YNS9RNBOozs/HZpD5txucz69ZlNh3tmtk7AQAAEBBjSgAAgP0IJQAAwAqEEgAAYAVCCQAAsAKhJIPpVYlDQ0MlT5485lwpP//8c7LlV6xYYcpp+YoVK8r777+f0buYJety/vz50qJFCylatKg5IZBOA9cLMCJt9entl19+kaCgIHP1aaS9PvXaWkOHDjUzAHXmwy233CIffvghVZrG+pwzZ47UrFlT8uXLJyVLlpR///vfZsZloPvpp5+kbdu25kyqejbyL7/8MsXnZOpxKD2vMQNf8+bNc3LmzOlMmzbN2bZtm9OvXz8nf/78zl9//ZVkVe3evdvJly+fKafl9Xn6/M8//zzgqza1damPv/nmm05UVJTzxx9/OEOGDDHP37hxY8DXZVo+m66TJ086FStWdCIiIpyaNWtSl2n8XVft2rVz6tWr5yxZssSJiYlx1q5dm+j6XIEqtfX5888/O9mzZ3fefvtt83dU71etWtV54IEHnEC3YMECZ+jQoc4XX3xhrj0TGRmZbPnMPg4RSjJQeHi407NnT59lt99+u/PCCy8kWX7w4MHmcW89evRw6tev7wS61NZlUqpUqeKMGDEiA/YucOrzkUcecV566SVzwUpCSdrr8/vvv3eCg4OdY8eOXcO7mHWltj7HjBljwrK3d955xylTpkyG7ueNRq4ilGT2cYjumwySkJAgGzZskIiICJ/len/VqlVJPmf16tWJyrds2VLWr18vFy5ckECVlrr0pxdU1ItBFS5cWAJdWutzxowZsmvXLnOiJVxbfX799dfm7NKjR4+W0qVLy2233SaDBg2Ss2f//+XjA1Va6lMvF7Jv3z5zQkw99h4+fFg+//xzue+++67TXmcdqzP5OBQwZ3S93v755x+5dOlSogv+6X3/CwO6dHlS5S9evGjWp/2kgSgtdelv7Nixcvr0aenQoYMEurTU586dO+WFF14w/fo6ngTXVp+7d++WlStXmj77yMhIs45evXqZK5EH+riStNSnhhIdU6Jn7j537pz5m9muXTuZOHHiddrrrONQJh+HaCnJYDqwyJumeP9lKZVPankgSm1duj7++GMZPny4fPLJJ1KsWLEM3MOsWZ96gOjYsaOMGDHCfKPHtdWn23Knj+mBNDw8XO69914ZN26czJw5k9aSNNTntm3bpG/fvvLKK6+YVpaFCxdKTEwM1zZLo8w8DvGVJ4MUKVJEcuTIkSjZHzlyJFEKdZUoUSLJ8vrNNCQkRAJVWurSpUGkS5cu8tlnn0nz5s0zeE9vDKmtT+320qbbX3/9VXr37u05qOofKv1sLl68WJo2bSqBKi2fT/22qd023pdyr1y5sqlT7YaoVKmSBKq01OeoUaPkrrvukueff97cr1GjhuTPn1/uueceee211wK2lTktMvs4REtJBsmVK5eZUrVkyRKf5XpfmxqTotNW/cvrH3zte86ZM6cEqrTUpdtC8tRTT8ncuXPpW76G+tQp1Zs3b5bo6GjPTa+uHRYWZn6uV6+eBLK0fD71AHrgwAGJj4/3LPvjjz8ke/bsUqZMGQlkaanPM2fOmLrzpsFGcXm31Mn049B1GU4b4NPapk+fbqZW9e/f30xr27Nnj3lcR5J36tQp0VSs5557zpTX5zElOG11OXfuXCcoKMh59913nYMHD3puOqUVqa9Pf8y+ubbf9bi4ODMz5OGHH3a2bt3qrFixwqlUqZLTtWtXPp5pqM8ZM2aY3/f33nvP2bVrl7Ny5Uqnbt26ZhZPoIuLi3N+/fVXc9ND/rhx48zP7vRq245DhJIMpgfF8uXLO7ly5XLuuOMO88fH1blzZ6dRo0Y+5ZcvX+7Url3blK9QoYIzefLkjN7FLFmX+rP+AvrftBxSX5/+CCXX9vlU27dvd5o3b+7kzZvXBJQBAwY4Z86c4eOZxvrUKcA67V/rs2TJks7jjz/u7Nu3L+Dr88cff0z2b6Ftx6Fs+k/Gt8cAAAAkjzElAADACoQSAABgBUIJAACwAqEEAABYgVACAACsQCgBAABWIJQAAAArEEoAAIAVCCXA/7N8+XJzFcyTJ09mep388ssvUr16dXOtiQceeECyAr1Sc61ata55PXol3ZtvvllsoJ+XL7/8UmzSuHFj6d+/f2bvBpAmhBJkOr1onv5x97/9+eef1/UPt17s6+DBgz5Xbs0sAwYMMAdwvfy6HoSzgkGDBskPP/xwzet55JFHzMXrAGQ9hBJYoVWrViYQeN9CQ0MTlUtISMiwfdCrk+pluzUQZbZdu3ZJ06ZNzRVjbWkVuFY33XRTulz6PG/evFKsWLF02SfcODLydz8ztwVfhBJYIXfu3CYQeN/00uPaotG7d2/TclCkSBFp0aKFKT9u3DjTvZE/f34pW7as9OrVy+cy8G4XSKNGjSRfvnxSqFAhadmypZw4ccK0zKxYsULefvttT6vMnj17kuy++eKLL6Rq1apm/ypUqCBjx4712YYuGzlypDz99NNSoEABKVeunEydOjXZ13r+/Hnp27evObDmyZNH7r77blm3bp15TPdD9+HYsWNmnfrzlVpKrmbbmzdvNuFGD+QaCLp37+5TT1oX2j301ltvScmSJU2ZZ599Vi5cuJDsa9D9mjJlirRp08bUb+XKlWX16tWmdUvfM31f9BLoGq6u1H2j9R0eHm7KavC666675K+//jKP/fbbb9KkSRPzugoWLGguZb9+/foku2/c9c6aNcvUibZ0PfrooxIXF+cpoz8//vjjZlv6OsePH39V3RyTJ0+WW265xQTWsLAwsw1/GqBbt25t6liD9GeffeZzcNPPr25T32vdv1GjRiW5rUWLFpky/t2H+lnRz7HSz8Vjjz1mwqrWu/4OfPzxx6nuYtL68/5c7d+/37RA6e+Jfgbuv/9+81m8mvfKn/sZnjdvnml91Nekv0O6Dm/btm2Te++914TV4sWLS6dOneSff/7xPH6l3/2MqLOr2Rauk4C/hCIynV6l8v7770/yMb165U033eQ8//zzzu+//26urKrGjx/vLFu2zFxm+4cffnDCwsKcZ555xvM8vTR37ty5zbLo6Ghny5YtzsSJE52jR486J0+edBo0aOB069bNOXjwoLldvHjRczXNEydOmHWsX7/eyZ49u/Pqq686O3bsMJdH1yuQ6v8uvYpp4cKFzRVNd+7c6YwaNco8x93PpPTt29cpVaqUs2DBAnPZen39hQoVco4dO2b2Q/enYMGCzoQJE8zPV7pybErbPn36tNlO+/btnc2bN5t6Cg0N9blSsv6s2+rZs6d53jfffGMuWz516tRk3zOtp9KlSzuffPKJqZsHHnjAXE20adOmzsKFC80lz+vXr++0atUqySsLX7hwwQkODnYGDRrk/Pnnn6b8zJkzPZdTr1q1qvPEE0+Yffrjjz+cTz/91LyPSutfn+u9Xv2MuK/zp59+ckqUKOG8+OKLnjJdu3Y19bV06VJT5sEHH3QKFCjg9OvX74qvcf78+eaS7Vq/+hrHjh3r5MiRw3zuvOshJCTEmTZtminz0ksvmTL6etSYMWOcsmXLmn3as2eP8/PPPztz585Ncnv63hcvXtz54IMPEi2bMmWKua9XvdV16ud7165d5sq4ur01a9b4/M54vy7dx8jISJ9taf25n2P9nFSqVMl5+umnnU2bNpl979ixo/mdOn/+fIrvlb+YmBizTb3ysV7uXstr/Wt9//PPP6bMgQMHnCJFijhDhgwx7/HGjRudFi1aOE2aNEnxdz+j6iylbeH6IJQg0+mBUf9I5M+f33N7+OGHPX8satWqleI69KClBwfXY4895tx1111XLO//h1v5hxL9w6x/KL3pHy29PLpLD3R68HRdvnzZKVas2BUv9R0fH28OdHPmzPEsS0hIMOFh9OjRSR40riSlbWuw0LCj23R99913JrgcOnTIU/e6Hv1D7vqf//kf55FHHkl221pPegB2rV692iybPn26Z9nHH3/s5MmTJ8lQogFMy+sl0pOiBzA98CUlqVCiQSo2NtbnfapXr575WZdrnX/22WeexzWY6nOSCyUNGzY0wdWb1s29997rUw8a6Lzpdt2A3KdPHxPU9L25GhpYtbxr0aJF5vLxx48fv+JzdH8GDhyY5lCi75kGEO991DCiAVy3n9J7daVQ8sYbb3iWabDRkPLmm2+a+y+//LITERHh87y9e/ea52m4S83vfnrV2dVsCxmP7htYQZvqo6OjPbd33nnH81jdunUTlf/xxx9NE2vp0qVNE/+TTz5pmmlPnz5tHtd1NGvW7Jr2afv27aaZ2pve37lzp1y6dMmzrEaNGp6ftdlau56OHDmS5Dq1O0O7RrzXqzNstGlct5dayW1b11ezZk3T5O69/5cvX5YdO3Z4lmnTunaVubSrwV2Hdg9p87p7+/vvv5Pctja/K20a91527tw5iY2NTbTfhQsXNl1H2qXWtm1b05Wm3SAubUbv2rWrNG/eXN544w2fbqCkaLeIfg6Seg27d+82da517NIuHu2OScv77/8+aTeV/323jL5G/SzqtrRLYfHixcluU7uYtJvjwIED5v6cOXNMF4d2qyj93L3++uum7rWbRd8TXaf3+5JaGzZsMN1uWn/u+6zvj753Wu8pvVdX4l0vQUFB5vfYrRfdpv4Oe3+2br/9dvOY93ud1O9+RtXZ1WwLGY9QAivogfPWW2/13PSg4v2YN+3L1j861apVM2M+9A/cu+++ax5zx0Jo//610i+Z/oNe/+8XT18aKrzpc/TAf6V1umVS2tbVSG7bya3Te3ly6+jZs6dPWCxVqlSSz3PXl9SyK9XFjBkzzDgUHXfwySefyG233SZr1qzxjBPZunWr3HfffbJs2TKpUqWKREZGprke/F+z9/LkpPV9csvccccdZgbV//7v/8rZs2elQ4cO8vDDD1/xeRqcdAyLjsfQ8vqan3jiCc/jOqZJx8MMHjzY1Iu+JxoWkhuYqfvi/1q9xwxpPemYHe/3WW86w6ljx44pvlep4f2Z0IDjv00N/P/617+u+LufkXV2NdtCxiOU4IajAx4vXrxo/tjUr1/f/IF0vyW59FtRctNPdeCid2tHUvRAuHLlSp9lq1atMtvzbllIDQ1cum3v9eoBQl+TDhZNT7r/+gfYbT1yB/9mz57dvIarod+SvcOifuNNT7Vr15YhQ4aYetWQOXfuXM9juo/PPfec+Vbbvn17c2BMCz1gaWiJioryLNPWGz0AJkffj6Tef//3yf/grPfdb/1KB+rqINJp06aZA7oG6ePHj19xuxoE9Nv+N998Y94rDWaun3/+2QxC1YOutoJVrFgxxddRtGhRn5YNLX/mzBnPfQ1OukwHXnu/13rznh6f3HuVFO960d9X/fLg1otuU0OntnD5bzMt4SC96wyZh1CCG44eZPSP3MSJE03TvM6IeP/9933K6B9PndGis3I2bdokv//+u5lJ4Y7u1z+Ga9euNTMFdFlS3+YHDhxogo1+y9VvjR999JFMmjTJnG8jrfQP7jPPPCPPP/+8LFy40MxA6NatmzlIdOnSRdKTNmvrzITOnTvLli1bTHN5nz59zCwHt7sls2jrgb5H+u1bW740eGgd6wFfv+3qTAhtktfHNEjpe5nW0KbdEloHWudaB3ow1BlLevBKrtVDy+sMFf1s6UFMZ3zNnz8/0fuvs20+/PBDs//Dhg0z4Uf3X+k3dP0Gr58/fVzLahdbctO89X3buHGj6XLQVhV9D1160F6yZIkJBtoV0qNHDzl06FCyr19nX+nnVtep4Vdbv7xblnR7OuNED9x6ANf3Rmen9evXT/bt25fse5Ucbb3UVgt97TqjS2e+ab0rva/BTGfFaH3p77GuVx9P6cvC9agzZB5CCW44Ov1TDxBvvvmm+cam35D8p1nqt2z9I6dTS7V5V/u3v/rqK883fT2waGuHtiboN8mk+uT129ynn35qDiq6nVdeeUVeffVV079+LXSMxEMPPWTCgW5D+/N1aqPbB55edPqjrlf/+N95553mj7WOs9EDVGbTfdODldaDvlc6VVkP5HrA0PdFxwfpOCF9TLs8dMrtiBEj0rw9/bzoZ0CnMOs4FR0bogdV74OXP50qreMnxowZY8bd6BRoba3R6aPedL/0M6Ktcxpc9fOonyul4xf0c6rjFfQ90BC8YMECE4iupFKlSqashmk92Hp7+eWXzWdGux90PzTgpHTGX21R1Gnz2i2iLQr62df6d+nPP/30k5lSri1SWi8aDjQcaitPcu9VSp9zfe3aOqFhR3//NPwo7QbUsKkBRF+L/n5pCNKWmeTq5nrVGTJPNh3tmonbB4DrTru0dJC0HrDTu4Uq0Gnw0vO1/Prrr+lyWQEElvTtIAYAC+kBUr/ta6vZqVOnTIuX0i4LAPYglAAICHrWWp0KrQONdbaJdim43QkA7ED3DQAAsAIDXQEAgBUIJQAAwAqEEgAAYAVCCQAAsAKhBAAAWIFQAgAArEAoAQAAViCUAAAAscH/AZpF9zwAqk18AAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pr.pl.completeness_per_var(adata, print_stats=True)" ] }, { "cell_type": "markdown", "id": "plotting-23", "metadata": {}, "source": [ "**`var_detected_by_cat_upset`**\n", "\n", "Compare sets of detected proteins across stages. A protein is a *member* of a stage when it is detected (not missing) in enough samples of that stage; by default, one detection suffices (`min_count=1`). Each intersection bar counts proteins that are members of exactly the connected stages and no others. Side totals count all members of each stage. Proteins that meet no stage's threshold form their own intersection: the column with no filled dots (labelled “No category” by `print_stats=True`). With the default threshold, these are proteins never measured in any sample.\n", "\n", "The stages come from the categorical order of `cell_type` set above; where they appear in the figure is decided by UpSetPlot. Measured zeros count as detections unless `zero_to_na=True`. The returned dictionary contains `matrix`, `intersections`, `totals`, and `shading` axes, all sharing one figure.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.var_detected_by_cat_upset.html)" ] }, { "cell_type": "code", "execution_count": 12, "id": "plotting-24", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:30.269701Z", "iopub.status.busy": "2026-09-24T14:12:30.269570Z", "iopub.status.idle": "2026-09-24T14:12:30.441634Z", "shell.execute_reply": "2026-09-24T14:12:30.441025Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "upset_axes = pr.pl.var_detected_by_cat_upset(\n", " adata,\n", " cat_key=\"cell_type\",\n", " show=False,\n", ")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "plotting-25", "metadata": {}, "source": [ "A stricter threshold admits a protein to a stage only when it is measured\n", "in **every sample** of that stage (`min_fraction=1.0`). This changes set\n", "membership, so it changes the question the plot answers. Use `min_count`\n", "for an absolute number of samples or `min_fraction` for a fraction of each\n", "stage's samples; setting both raises an error. `print_stats=True` prints\n", "the counts behind the bars." ] }, { "cell_type": "code", "execution_count": 13, "id": "plotting-26", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:30.443569Z", "iopub.status.busy": "2026-09-24T14:12:30.443382Z", "iopub.status.idle": "2026-09-24T14:12:30.598430Z", "shell.execute_reply": "2026-09-24T14:12:30.598027Z" } }, "outputs": [ { "data": { "image/png": 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2xTXe5/mZKkKS97xrUsHz8TzJfPTRR6ZixYoZP6MQQgghhBBCCCHC5/fff3d6P9KkzZ8/P+XfOnbsmNE95EAUxZrnn3/eXHnllebHH3+0uQtx4mXLX3/9Za655hrrkCtfvnza6zhYJRG2Nie/l0zyNamuL+o+N910UwEHKRGIbI0m2lFbmIUQQgghhBBCiGgxefJkp/dj92Xjxo0D3UMORFGsOeKII2wewRNPPNGejMwhJtnC9uNFixYVyE/AwSdffPGFPTRl5syZ9j2iBOvWrRu/hs94UYkcqrJ+/Xp7ynJiFCLXtGzZMn7NwoULt/j+xYsXbxHdmAjbpXklQ/RlpqHKQgghhBBCCCGEyA2lS5d2fr+g83+dwiyKLV7U3u67726diETjNWvWzHz//fdZ3eeoo44yU6dOtSciey/uc/bZZ9vfGzRoYJ1/Y8aMiX8GZ+HYsWPjzkGcj3TmxGsIL542bVr8Gg5L4eCT8ePHx6/57rvv7HveNUIIIYQQQgghhBCuUQSiKLYkHkCO85DTjjkp+aSTTsrqPlWqVLGHnSRSqVIlU6NGjfj73HfAgAGmYcOG9sXv5B/s3Lmz/TsHoXTr1s1cd9119nPVq1c3119/vdl///3toSywzz77mGOPPdZcdNFF5vHHH7fvXXzxxaZ9+/YZn8AshBBCCCGEEEIIkS1yIIpiy7PPPmsddx4lS5Y0Dz30kM0LwPZjl/Ts2dOsWbPGXH755XabMicpkzMR56PHoEGDbFhxp06d7LVENj733HOmVKlS8WtefPFFc/XVV8dPa+7QoYPdJi2EEEIIIYQQQggRFiViiWFYQohtHg5RwXHK1mcdoiKEEEIIIYQQQkSLSZMmFThnISic3dCkSZNA91AEoihWEGHItl9OS+b3wvIjXnXVVTktmxBCCCGEEEIIIUQUUQSiKFbUr1/fHpJCnkF+L8yBOGvWLLMtoghEIYQQQgghhBAiukxSBKIQ+WX27NkpfxdCCCGEEEIIIYQQqSmZ5n0hih2bNm0yU6ZMsYecCCGEEEIIIYQQQoj/hxyIotjSvXt38/TTT8edh61atbJJRXfZZRfz+eef57t4QgghhBBCCCGEEJFADkRRbHn99dfNgQceaH9/7733zB9//GF+/vln61i8+eab8108IYQQQgghhBBCiEggB6IotixZssTssMMO9vdRo0aZ008/3ey5556mW7duZurUqfkunhBCCCGEEEIIIUQkkANRFFvq1KljfvrpJ7t9efTo0aZt27b2/f/++8+UKlUq38UTQgghhBBCCCGEiASl810AIfLF+eefbzp16mTq1q1rSpQoYdq1a2ff/+6778zee++thhFCCCGEEEIIIYSQA1EUZ/r06WMaNWpk/vrrL7t9uVy5cvZ9og979eqV7+IJIYQQQgghhBBCRAJFIIpizWmnnbbFe127ds1LWYQQQgghhBBCCCGiiHIgCiGEEEIIIYQQQggh0iIHohBCCCGEEEIIIYQQIi1yIAohhBBCCCGEEEIIIdIiB6IQQgghhBBCCCGEECItOkRFFGs2b95sfvvtN7No0SL7eyKtWrXKW7mEEEIIIYQQQgghooIciKLYMm7cONO5c2czZ84cE4vFCvytRIkSZtOmTXkrmxBCCCGEEEIIIURUkANRFFsuvfRS06xZMzNy5EhTt25d6zQUQgghhBBCCCGEEAWRA1EUW3799Vfz+uuvmz322CPfRRFCCCGEEEIIIYSILDpERRRbmjdvbvMfCiGEEEIIIYQQQoj0KAJRFFuuuuoqc91115kFCxaY/fff35QpU6bA3w844IC8lU0IIYQQQgghhBAiKsiBKIotp556qv15wQUXxN8jDyIHqugQFSGEEEIIIYQQQoj/hxyIotgye/bsfBdBCCGEEEIIIYQQIvLIgSiKLbvttlu+iyCEEEIIIYQQQggReeRAFMWa33//3QwePNjMmDHDblveZ599zDXXXGN23333fBdNCCGEEEIIIYQQIhLoFGZRbPnwww/Nvvvua8aPH28PTGnUqJH57rvvzH777WfGjBmT1b0ee+wxe4/tttvOvlq0aGE++OCD+N/Jq9inTx+z4447mgoVKpg2bdqY6dOnF7jHunXr7MEuNWvWNJUqVTIdOnQwc+fOLXDNsmXLTJcuXUzVqlXti9+XL18esCaEEEIIIYQQQggh0iMHoii29OrVy1x77bXWaThw4EAzaNAg+3v37t3NjTfemNW9dt55Z3P33Xeb77//3r6OPPJI07Fjx7iT8N5777XfMWTIEDNhwgSzww47mHbt2plVq1bF78H3vvXWW2bEiBHmq6++MqtXrzbt27c3mzZtil/TuXNnM2XKFDN69Gj74neciEIIIYQQQgghhBBhUSJGaJQQxZDy5cubqVOnmoYNGxZ4/5dffrHRhGvXrg10/+rVq5v77rvPnvJM5GGiY5Jowzp16ph77rnHXHLJJWbFihWmVq1aZvjw4eaMM86w18ybN8/ssssuZtSoUeaYY46x26yJmBw3bpxp3ry5vYbfiXb8+eefzV577ZVRuVauXGmjF/lOoiWFEEIIIYQQQggRHSZNmmSaNm3q7H4TJ040TZo0CXQP5UAUxRYcdkTwJTsQea927dq+70vE4GuvvWb+/fdf69zjtOcFCxaYo48+On5NuXLlTOvWrc0333xjHYh05g0bNhS4Bqcj26q5Bgfit99+ax1/nvMQDj30UPse16RzIOKs5JXoQAS+j5cQQgghhBBCCCGiw8aNG53fL938v0yZMhndQw5EUWy56KKLzMUXX2xmzZplWrZsaQ9RYeswUYHXXXdd1vcjmhGHIZGLlStXttuRiRjEuQdEHCbC/+fMmWN/x8FYtmxZU61atS2u4W/eNakcm7znXZOKu+66y/Tt23eL9z/66CNTsWLFrJ9TCCGEEEIIIYQQ4R746hJ8HfPnz0/5N9KvZYIciKLYcuutt5oqVaqYBx54wNx0003xqD8OO7n66quzvh8RgEQvcqjJG2+8Ybp27WrGjh0b/zsOykTIHpD8XjLJ16S6vqj78Gw9evQoEIHI1miiHbWFWQghhBBCCCGEiBaTJ092er/DDz/cNG7cONA95EAUxRacbhyiwss7zASHol+IINxjjz3s782aNbOHpTz44IPxvIdECdatWzd+/aJFi+JRiRyqsn79envKcmIUItcQHelds3Dhwi2+d/HixVtENybCdmleqcKUMw1VFkIIIYQQQgghRG4oXbq08/sFnf/rFGYh/n/HYRDnYSqIDCT3YP369a3zb8yYMfG/4SwkOtFzDpIclc6ceA3hxdOmTYtfw/ZoDj4ZP358/BpOjeY97xohhBBCCCGEEEII1ygCURQrOHXok08+sVF+hO8WtvWXU48ypXfv3ua4446zW4OJZhwxYoT5/PPPzejRo+13cALzgAED7IEtvPid/IOdO3e2n+cglG7dutncizVq1LAnOF9//fVm//33N23btrXX7LPPPubYY4+1uRsff/xx+x45HNu3b5/xCcxCCCGEEEIIIYQQ2SIHoihWkBzU287L70XlIMwUthZ36dLFRg3iDDzggAOs87Bdu3b27z179jRr1qwxl19+ud2mzEnKHGKSGPU4aNAgG1bcqVMne+1RRx1lnnvuOVOqVKn4NS+++KLNz+id1tyhQwczZMgQJ88ghBBCCCGEEEIIkYoSMfZZCiGKDRyigpOTrc86REUIIYQQQgghhIgWkyZNsqnOXDFx4kS7IzMIyoEoii0NGjQwS5cu3eJ9TlHmb0IIIYQQQgghhBBCDkRRjPnjjz/Mpk2btnifg0/mzp2blzIJIYQQQgghhBBCRA3lQBTFjnfffTf++4cffmi383rgUOSQFU5OFkIIIYQQQgghhBByIIpiyEknnWR/coBK165dC/ytTJkypl69euaBBx7IU+mEEEIIIYQQQgghooUiEEWxY/PmzfYnUYYTJkwwNWvWzHeRhBBCCCGEEEIIISKLHIii2DJ79ux8F0EIIYQQQgghhBAi8ugUZlFsufrqq81DDz20xftDhgwx3bt3z0uZhBBCCCGEEEIIIaKGHIii2PLGG2+Yww47bIv3W7ZsaV5//fW8lEkIIYQQQgghhBAiasiBKIotS5cuLXACs8d2221nlixZkpcyCSGEEEIIIYQQQkQNORBFsWWPPfYwo0eP3uL9Dz74wDRo0CAvZRJCCCGEEEIIIYSIGjpERRRbevToYa688kqzePFic+SRR9r3PvnkE/PAAw+YwYMH57t4QgghhBBCCCGEEJFADkRRbLngggvMunXrTP/+/c2dd95p36tXr5557LHHzLnnnpvv4gkhhBBCCCGEEEJEAjkQRbHmsssusy+iECtUqGAqV66c7yIJIYQQQgghhBBCRArlQBTFmo0bN5qPP/7YvPnmmyYWi9n35s2bZ1avXp3vogkhhBBCCCGEEEJEAkUgimLLnDlzzLHHHmv+/PNPu5W5Xbt2pkqVKubee+81a9euNUOHDs13EYUQQgghhBBCCCHyjiIQRbHlmmuuMc2aNTPLli2z25c9Tj75ZHuYihBCCCGEEEIIIYRQBKIoxnz11Vfm66+/NmXLli3w/m677Wb+/vvvvJVLCCGEEEIIIYQQIkooAlEUWzZv3mw2bdq0xftz5861W5mFEEIIIYQQQgghhByIohhDzsPBgwfH/1+iRAl7eMrtt99ujj/++LyWTQghhBBCCCGEECIq6BAVUWwZNGiQOeKII8y+++5rD03p3Lmz+fXXX03NmjXNyy+/nO/iCSGEEEIIIYQQQkQCORBFsWXHHXc0U6ZMMSNGjDATJ060W5q7detmzj777AKHqgghhBBCCCGEEEIUZ+RAFMUaHIXnn3++fQkhhBBCCCGEEEKILdEhKqLYMmzYMDNy5Mj4/3v27Gm2335707JlSzNnzpy8lk0IIYQQQgghhBAiKsiBKIotAwYMiG9V/vbbb82QIUPMvffea3MgXnvttfkunhBCCCGEEEIIIUQk0BZmUWz566+/zB577GF/f/vtt81pp51mLr74YnPYYYeZNm3a5Lt4QgghhBBCCCGEEJFAEYii2FK5cmWzdOlS+/tHH31k2rZta38vX768WbNmTVb3uuuuu8zBBx9sqlSpYmrXrm1OOukkM3PmzALXxGIx06dPH3t4C5GPOCmnT59e4Jp169aZq666ykZBVqpUyXTo0MHMnTu3wDXLli0zXbp0MVWrVrUvfl++fLnPWhBCCCGEEEIIIYQoHDkQRbGlXbt25sILL7SvX375xZxwwgn2fZx69erVy+peY8eONVdccYUZN26cGTNmjNm4caM5+uijzb///hu/hu3RAwcOtFulJ0yYYHbYYQdbhlWrVsWv6d69u3nrrbfsydBfffWVWb16tWnfvr3ZtGlT/JrOnTvb06NHjx5tX/yOE1EIIYQQQgghhBAiDErECIsSohhC1N6tt95q/vzzT3PZZZeZY4891r5/++23m7Jly5qbb77Z970XL15sIxFxLLZq1cpGHxJ5iIPwxhtvjEcb1qlTx9xzzz3mkksuMStWrDC1atUyw4cPN2eccYa9Zt68eWaXXXYxo0aNMsccc4yZMWOG2Xfffa2jsnnz5vYafm/RooX5+eefzV577VVk2VauXGkjF/m+7bbbzvczCiGEEEIIIYQQwj2TJk0yTZs2dXa/iRMnmiZNmgS6h3IgimIJEYIPPvigPXkZB10iffv2DXx/nHNQvXp1+3P27NlmwYIFNirRo1y5cqZ169bmm2++sQ5EOvSGDRsKXIPTsVGjRvYaHIgc9oLzz3MewqGHHmrf45pUDkQclbwSHYjAd/ESQgghhBBCCCFEtHwWru+Xbv5fpkyZjO4hB6IolpQuXdrcd999pmvXrs7vTbRhjx49zOGHH26df4DzEIg4TIT/z5kzJ34NkY/VqlXb4hrv8/wksjEZ3vOuSZWfMZVTlLyPFStW9P2cQgghhBBCCCGEcM/vv//u9H6kSJs/f37Kv3Xs2DGje8iBKIotHJry+eefm/POO8/pfa+88krz448/2g6aTIkSJbZwNia/l0zyNamuL+w+N910k3VoJkYgEnVJpKO2MAshhBBCCCGEENFi8uTJTu9HgFPjxo0D3UMORFFsOe6446xzbdq0aTa3AKceJ8IJyNnCCcrvvvuu+eKLL8zOO+8cf58DU4Aowbp168bfX7RoUTwqkWvWr19vT1lOjELkmpYtW8avWbhwYcqci8nRjYlbpXmlClPONFRZCCGEEEIIIYQQuds16fp+Qef/ciCKYgsHpwAnIydDNF/iycdFQQQgzkNOUCaqsX79+gX+zv9x/nFCs+f1x1nIISscogI4MenQXNOpUyf7HiHGODg5wRk4LIX8iuPHjzeHHHKIfe+7776z73lORiGEEEIIIYQQQgiXyIEoii2bN292dq8rrrjCvPTSS+add94xVapUiecj5HCTChUqWIckJzAPGDDANGzY0L74nRyEnTt3jl/brVs3c91115kaNWrYA1iuv/56s//++9vt1rDPPvvY06Ivuugi8/jjj9v3Lr74YtO+ffuMTmAWQgghhBBCCCGEyBY5EIUwxqxdu9aUL1/ed1089thj9mebNm0KvP/ss8/Gcyxy4vOaNWvM5Zdfbrcpc5IyB5ngcPQYNGiQDS0mApFrjzrqKPPcc8+ZUqVKxa958cUXzdVXXx0/rZmt1kOGDFE7CiGEEEIIIYQQIhRKxNh7KUQxhC3KRAEOHTrU5hX85ZdfTIMGDcytt95q6tWrZ6MBt0U4RIVoR7Y96xAVIYQQQgghhBAiWkyaNMmmOXPFxIkTTZMmTQLdo6Sz0gixldG/f38b3Ud+wbJly8bfZ8vwU089ldeyCSGEEEIIIYQQQkQFORBFseX55583TzzxhDn77LMLbBE+4IADzM8//5zXsgkhhBBCCCGEEEJEBTkQRbHl77//NnvssUfKw1U2bNiQlzIJIYQQQgghhBBCRA05EEWxZb/99jNffvnlFu+/9tprpnHjxnkpkxBCCCGEEEIIIUTU0CnMothy++23my5duthIRKIO33zzTTNz5ky7tfn999/Pd/GEEEIIIYQQQgghIoEiEEWx5cQTTzSvvPKKGTVqlClRooS57bbbzIwZM8x7771n2rVrl+/iCSGEEEIIIYQQQkQCRSCKYs0xxxxjX0IIIYQQQgghhBAiNYpAFMWWBg0amKVLl27x/vLly+3fhBBCCCGEEEIIIYQciKIY88cff5hNmzZt8f66detsXkQhhBBCCCGEEEIIoS3Mohjy7rvvxn//8MMPTdWqVeP/x6H4ySefmHr16uWpdEIIIYQQQgghhBDRQjkQRbHjpJNOsj85OKVr164F/lamTBnrPHzggQfyVDohhBBCCCGEEEKIaCEHoih2bN682f6sX7++mTBhgqlZs2a+iySEEEIIIYQQQggRWeRAFMWW2bNn57sIQgghhBBCCCGEEJFHDkRRrCHfIa9FixbFIxM9nnnmmbyVSwghhBBCCCGEECIqyIEoii19+/Y1d9xxh2nWrJmpW7euzYkohBBCCCGEEEIIIQoiB6IotgwdOtQ899xzpkuXLvkuihBCCCGEEEIIIURkKZnvAgiRL9avX29atmypBhBCCCGEEEIIIYQoBDkQRbHlwgsvNC+99FK+iyGEEEIIIYQQQggRaeRAFMWWtWvXmoEDB5rWrVubq666yvTo0aPASwghhBBCCCHE1s2qVatM9+7dzW677WYqVKhgd6FNmDDB/m3Dhg3mxhtvNPvvv7+pVKmS2XHHHc25555r5s2bV+Ael1xyidl9993t52vVqmU6duxofv755zw9kRD5QTkQRbHlxx9/NAcddJD9fdq0aQX+pgNVhBBCCCGEEGLb2HnGfG/48OHWQfjCCy+Ytm3bmp9++slUrlzZTJo0ydx6663mwAMPNMuWLbPOxg4dOpjvv/8+fo+mTZuas88+2+y6667mn3/+MX369DFHH320mT17tilVqlRen0+IXFEiFovFcvZtQoi8s3LlSlO1alWzYsUKs9122+W7OEIIIYQQQggRCmvWrDFVqlQx77zzjjnhhBPi7xNI0r59e9OvX78tPkN04iGHHGLmzJljHYbpglFwOP722282MlEI1+DYxnHtiokTJ5omTZoEuoe2MAshhBBCCCGEEGKbY+PGjWbTpk2mfPnyBd5nK/JXX32V8jMEWrAjbfvtt0/593///dc8++yzpn79+maXXXYJpdxCRBFtYRbFjlNOOSWj6958883QyyKEEEIIIYQQIhyIPmzRooW58847zT777GPq1KljXn75ZfPdd9+Zhg0bpsyT36tXL9O5c+ctdms9+uijpmfPntaBuPfee5sxY8aYsmXLqulEsUERiKLYwfbdTF5CCCGEEEIIIbZuyH1I5raddtrJlCtXzjz00EPWQZicu5ADVc4880yzefNm6yxMhhyIkydPNmPHjrXOx06dOlmHoxDFBUUgimIH4eZCCCGEEEIIIbZ9yFGI04/IQfLB161b15xxxhl2C3Ki8xCHIIeifPrppylzxXuBJjgPDz30UFOtWjXz1ltvmbPOOivHTyREflAEohAO+OKLL8yJJ55oT/UiX8bbb79d4O+seHFSF38n30abNm3M9OnTC1yzbt06c9VVV5maNWuaSpUq2ZO/5s6dW+AaTgXr0qVLfPDi9+XLl6sNhRBCCCGEEKIQmGPhPGRO9eGHH5qOHTsWcB7++uuv5uOPPzY1atTIqB6Z4zGHE6K4IAeiEA5gNYtTuIYMGZLy7/fee68ZOHCg/Tuneu2www6mXbt2ZtWqVfFrunfvblewRowYYRP6rl692p4MRtJfD0Ltp0yZYkaPHm1f/I4TUQghhBBCCCHEluAsZO5EdCF5C4844giz1157mfPPP98esnLaaaeZ77//3rz44ot27rVgwQL7Wr9+vf38rFmzzF133WVPsf3zzz/Nt99+ax2OBIYcf/zxqnJRbNAWZiEccNxxx9lXupWpwYMHm5tvvjl+gMuwYcNsAt+XXnrJXHLJJfakr6efftrm52jbtq295oUXXrCnerEKdswxx5gZM2bYgW/cuHGmefPm9ponn3zSJgWeOXOmHQSFEEIIIYQQQvwfzLVuuukmu7urevXq5tRTTzX9+/c3ZcqUMX/88Yd599137XUHHXRQgWr77LPP7M4xTnD+8ssv7ZyO6EXmca1atTLffPONqV27tqpaFBvkQBQiZFjpYgXr6KOPjr9H8t7WrVvbQQcHIqtZhM4nXsN250aNGtlrcCCy0sW2Zc95COTe4D2uSedAJKw+MbSevB/A9/ESQgghhBBCiG2Vk08+2b6SYS7EwSpepGEquKZWrVrmnXfeSft3IcKA6FjX90snrzjTM0EORCFCBuchsFKVCP+fM2dO/JqyZcvaRLzJ13if52eqFS7e865JBeH2ffv23eL9jz76yFSsWNHnUwkhhBBCCCGEECIMfv/9d6f3I03a/PnzU/7NywdaFHIgCpEjOFwleWtz8nvJJF+T6vqi7kO4fo8ePQpEILI1mmjHVKeLCSGEEEIIIYQQIn9MnjzZ6f0OP/xw07hx40D3kANRiJDhwBQgSpBTvzwWLVoUj0rkGkLnyamRGIXINS1btoxfs3Dhwi3uv3jx4i2iGxNhuzSvVGHKmYYqCyGEEEIIIcTWDoegLFmyJPB9atasaXbddVcnZRIiFaVLl3Z+v6DzfzkQhQiZ+vXrW+cfJ355Hn+chWPHjjX33HOP/X/Tpk1tZ+YaTvQCwounTZtmT3AGDkshAfD48ePNIYccYt/77rvv7Huek1EIIYQQQgghRGrnIXnj165dG7h6OFiFgyzlRBTFCTkQhXDA6tWrzW+//Vbg4JQpU6bYU74YVLp3724GDBhgGjZsaF/8Tv7Bzp072+s5CKVbt27muuuuMzVq1LCfu/76683+++8fP5V5n332Mccee6y56KKLzOOPP27fu/jii0379u11ArMQQgghhBBCFAKRhy6ch8B9uJ8ciKI4UTLfBRBiW+D777+30YVehCE5B/n9tttus//v2bOndSJefvnlplmzZubvv/+2h5hUqVIlfo9BgwaZk046yUYgHnbYYdbB+N5775lSpUrFr3nxxRetU5H8hbwOOOAAM3z48Dw8sRBCCCGKAxzGRq5l7JhEZsyYYTp06GAXQbFnDj30UBvdA//884+56qqr7AIn9gwT7KuvvtrumhBCCCHE1okiEIVwQJs2bexhJunA8O7Tp499FRYG//DDD9tXOohMfOGFFwKXVwghhBCiKCZMmGCeeOIJu2CZfDIkydjZPdG3b1/rRMShiC0D8+bNs6/777/f7LvvvmbOnDnm0ksvte+9/vrrqnghhBBiK0QORCGEEEIIIcQW6VnOPvts8+STT5p+/foV+NvNN99sjj/++HieZmjQoEH890aNGpk33ngj/v/dd9/d9O/f35xzzjlm48aNzhPDCyGEECJ8tIVZCCGEEEIIUYArrrjCnHDCCfFczB6bN282I0eONHvuuac55phjTO3atU3z5s3N22+/XWgNsn15u+22k/NQCCGE2EqRA1EIIYQQQggRZ8SIEWbSpEk2/2EyixYtstGJd999tz3cjZzOJ598sjnllFPM2LFjU9bi0qVLzZ133mkuueQS1bIQQgixlaL9A0IIIYQQQgjLX3/9Za655hrrGPRyGiZHIELHjh3Ntddea38/6KCDzDfffGOGDh1qWrduXeD6lStX2khGciHefvvtqmUhhBBiK0URiEIIIYQQQgjLxIkTbZRh06ZN7XZjXkQWPvTQQ/b3GjVq2J84BBPZZ5994qcwe6xatcpGKVauXNm89dZbpkyZMqplIYQQYitFDkQhhIVtSgcffLCpUqWKzWd00kknmZkzZ25xmnSq13333VfgZEa2MtWqVcvmOurUqZNZuHBhzsuxbt06c9VVV5maNWuaSpUqmQ4dOpi5c+eqtYVTXMnrggULTJcuXcwOO+xg5bVJkyY6qVQIkReOOuooM3XqVDNlypT4q1mzZvZAFX4vV66c1XvJuu6XX34xu+22W4HIw6OPPtqULVvWvPvuuymjGYUQQgix9SAHohDCQnQBCdPHjRtnxowZY09JxPD/999/4zU0f/78Aq9nnnnGOkJOPfVU+3eu5TO89+mnn5qvv/7arF+/3px44onxLU+5KAd0797dRjuQx+mrr76y+Zrat29vNm3apBYXznAlrzgPmYwzyWbiTi6xM844w0yePFmtJYTIKSyIcIpy4ouFDSIP+R1uuOEG88orr9gTmn/77TczZMgQ895775nLL788Hnno6cKnn37aOhNZKOGlcVgIIYTYOikRi8Vi+S6EECJ3YMRXrVo1fhpiOhYvXmwjqnCQtGrVKuU1RFsxSfjkk0/s/8mXdNxxx5lly5bF783v1atXt86V5JMcM8FPOXg2IiCHDx9unTAwb948s8suu5hRo0bZUyOFCAM/8gps73vsscesI9GDyfq9995runXrpsYSQuSVNm3a2DyHgwcPjr/HYghR2ET377XXXqZv3742LyJ8/vnn5ogjjkh5r9mzZ5t69erlrOxCCOHB4VCkZ3CZ8oFdI0IUF3nVISpCiJTghAOcf6lgW/LIkSPNsGHDCmwbJrKK7U0ebFkqWbKkjQL040D0Uw6U44YNG2z0g8eOO+5oIydI8i4HoggLP/IKhx9+uI3m4aCB7bff3rz66qu2PzFpF0KIfINDMJkLLrjAvlKB7lKMghBCCLFtoS3MQogtwOjv0aOHdWp425WSwQHCNie2WnoceuihdpvTjTfeaP777z+7dYltTmxfZutmrsrBFilyLlWrVq3AtXXq1LF/EyIM/Mor4Dxk+zNRhzjgL7nkErsFf/fdd1djCSGEEEIIIfKOHIhCiC248sorzY8//mhefvnltLXD1iUSqicmRWfb8GuvvWbzILEl09sqTah0qVKlclaOwhw8REgKEQZB5PWWW26x2/0//vhj8/3331tH5Omnn27zIQohhBBCCCFEvtEWZiFEATi5mIMcvvjiC7PzzjunrJ0vv/zSHvhA1FQybBvmJOYlS5aY0qVL2+2YnCxbv379nJWD7+PwFhwyiVGIixYtMi1btlSLC+cEkVf6CwcQTJs2zey33372vQMPPNBe/8gjj5ihQ4eqxYQQeePPP/+0Y3oQatasaXbddVdnZRJCCCFE7pEDUQgRj87DCcK2SXIdFebw40RFErri5ChssgCcxozjrkOHDjkrB++VKVPGHtzSqVMn+x5bqHHQcCiFX9hi2qdPH/Piiy/ardB169Y15513no0eI88jeRf5nYNaZs2aZSMwyft499132xyMYtvDhbyy3R+QoUSI2s309HIhhAjLecgBKWvXrg10H6KuWUCRE1EIIYTYetEWZiGE5YorrjAvvPCCeemll2yONhxkvNasWbPFKc5sU77wwgtT1tyzzz5rxo0bZ6OquB/bMK+99lo7AclVOXDccXLtddddZ0+6nTx5sjnnnHPM/vvv7+sgF4977rnHRoMRLTZjxgzrjLzvvvvMww8/HHcEcVrWrbfean+++eab5pdffsnYeSq2PlzI695772322GMPm/dw/Pjxtu888MAD1gHOic3bGpzaSiqB7t272//jeCdvKv2THKo4288991x7croQIr8QeRjUeQjcI2gUo8hev3oLXSx+olsrVKhgD7iZPn26qlMIIQLqV2BOyFyP+SdzAc4EYPFtmyUmhChWrFixIkbX52civJfq9eyzzxa47vHHH49VqFAhtnz58pT3v/HGG2N16tSJlSlTJtawYcPYAw88ENu8eXPG5XNVjjVr1sSuvPLKWPXq1e117du3j/3555+xIJxwwgmxCy64oMB7p5xySuycc85J+5nx48fb8s+ZMyfQd4to4kpef/nlFytLtWvXjlWsWDF2wAEHxJ5//vnA5Rs7dqyV/bp169pyvfXWW/G/rV+/PtazZ89Yo0aN7HdyTZcuXWJ///13LCzoD/Xq1bPPd80119j3qJO2bdvGXnnlldjPP/8c+/bbb2PNmzePNW3aNLRyiOjKiMisbYCx9fbbb7d/L1++fKx169axadOmOa3CiRMnptVz2b64l4jlVL/C3XffHatSpUrsjTfeiE2dOjV2xhlnWJlZuXKlmkNETq+tWrUqdsUVV8R22mknq9f23nvv2KOPPhpJneZKrxVVJ/Tdo48+OlajRg3798mTJwf+TuFGv/722292rnnDDTfEJk2aFPv9999j77//fmzhwoXbrLwqAlEI4S0mpHyxRTeRiy++2EbascqSCrbrEoFFDkKi7zgMIpuDS1yVg+1SRAYuXbrUXsfBLrvsskug1uZ0XSIaeS744YcfzFdffWWOP/74tJ/hEBmen1yQYcL2arZPs4WWCIMGDRqYO+64I+dbYFmdO/jgg+0KXO3atW0EHdvW8kEu6sSVvDZs2NC88cYbZuHChfb0cmSrS5cugcvHvdgyTdRsMrmOmF29erU9QObJJ58skJuUOvHSDRCpzMotfXfixImhr+A+9thj5oADDjDbbbedfbVo0cJ88MEHJh8QIYSuSHyRzzVsoiQjUdUn5DY98cQTbQQX7fL222/n5HsLaxsgCn7gwIH27xMmTLDy0q5dO7Nq1SpTXIjK2JfPPlyYfmU8Gjx4sLn55pvNKaecYho1amSGDRtm+zaR88Wh/0ZN1+dLn0SlTorSa+xaGj16tN3dQWQX/ydVzDvvvGO2VYqqE/5+2GGH2TlWcZXXKOpXQLcyD2Q8bty4sR2DTjjhBKvztlmcuEaFEFt9BKIoGqI9evXqFStRokSsdOnS9ueAAQPSXk8UJFFUZ599dujV269fP7syyarX7NmzY6+99lqscuXKscGDB8dyyTHHHGOj74iCmTJlio3a3HXXXWOrV6+O5Zqo1ElUSLWqncuI2XPPPTfWvXt3+zuRUokruMmMGTPG9q+w9dS7774bGzlyZGzmzJn21bt3bxs97TqKKxOIJNtvv/1i8+fPj78WLVpUrGQkqvpk1KhRsZtvvtlGgWRSR2GQ/L2MRzvssIONLvNYu3ZtrGrVqrGhQ4cWmwjEKOn5fPbhdPqVaBjqnsiYRDp06GA/Uxz6b9R0fRT0SVTqJNXz04fuuOOOAu81adIkdsstt2yzEV2JFCYT6LhcRyBGRV6jqF83bdpkxxvklQjRWrVqxQ455BCndRRFedUhKkIIkSGcnuvlu+O03ClTptg8GKzKde3atcC15HU788wzbRTEo48+Gnodf/vtt6Zjx4521Qvq1atnXn75ZfP999+bXMKqcXJOTFbhiCZr1apVTssSlTrZmggrYnbEiBE2go0oqUxypfXq1ct07tzZRkWECavqifTv399GZZDH1TsRO5dwcn2uVtT9kquo6ijpk+OOO86+osTs2bNttP/RRx8df69cuXKmdevW5ptvvrE5VYsDUdPz+ejDhelXZATq1KlT4H3+P2fOnGLRf6Om66OiT6JUJ8m7fd59911zwQUXWPuaA+qIfH/wwQfzVqbiTFTkNYr6ddGiRTY6kcjQfv362Vz56D2ivT/77DM7Hm+LyIEohNgCtg26SHbOScxBT1x0URYX5YAbbrjBOjZwDAKHPmCAs00n0YGI85DtmEzwOIU6bCeIZ3BxwAtG1p577hnfXs3WpXw7G6B69eo5/+581EmU5DVbwnLc/fXXX+aaa64xH330kU0tUBi5drwnsmnTJnvQDVuF2MqVD3799Vc7YcIR1Lx5czNgwAC7HSYq5NK5GzV9EjXy6RiKElEb+3LdhzPVr8mpZAh0yia9zLbUf6Og66NGlOrkoYceMhdddJHZeeedrcOoZMmS5qmnnrJ9XRRvoqZfN///qTJYxGKrPRx00EF2EY9xSQ5EIUSxAAcIechcnLqIsiXfjV9niKuyBC2HBzmDMGQSKVWqVIFcS57zkEGO1acaNWqYXMApthjnnOhLmTAGWU0+66yzTL5ggkIOTIw+8i7lmlzXSdTkNRvCdNwRbcIqbdOmTePv0Rbk1SHfz7p162z75MPxDlOnTrUTJtqtcuXK5q233jL77ruvyTUYw88//7x1gpALk9Xsli1b2tNSc6VHourcjYI+iSpRcAzlkyiNffnow0XpVy/nIA7nunXrxq/hM8nO5229/0ZF10eJKNYJDkSiIIlC3G233awsX3755VZ+27Ztm9eyifwRRf3677//Wid3cp/ZZ5997ELWtooiEIUQBSB6yoXzELgP9/PrCHFVlqDlSNzuwcSE+7C9Y/LkyTaBPdssvGTup512mg11f//99+0g40WJsOJetmxZE4Xt1bniyiuvND/++GPeBtFc10nU5DVTwnbcHXXUUXaSksj5559vJ/xM/hOdh7l2vANOX2Rj+fLl9iAbZGPs2LE5n0QlbhEiuplJ3e67724PPGDinU/y5dyNkj6JGt42rnw7hvJNlMa+fPThovQr0TnICgdVkeAfOOQOHcd2u+LUf6Oi66NE1OpkzZo1pnfv3taR6aUl4KAXynj//ffLgViMiaJ+LVeunD0oKvlwKCLicX5vq8iBKIQQGcLJsJxGykookzQmKOSZuu222+zf586da1dMvRD2RHCKtGnTJrS6znR7da7gxDzqglU6tqHkg6jVSRTJheOOEziTI04qVapkv4v38+l4B+6/xx572N+bNWtm89yQa+nxxx83+YQ6QmZpm3yST+dulPRJ1ODU4Sg4hvJNlPV8LvpwUfoVcKiy1a9hw4b2xe8VK1a0qQiKU/+Nqq7PJ1GrE8YbXkXt9hEiKvr1hhtuMGeccYbN63rEEUfYHIjvvfeezd25rSIHohBCZDGQkFcpXW4lkrf/vwPUck8m26tzAc/PZIHVYwZPJrn5Iip1kk9I7vzbb7/F/08EGSv5OOZwgOfTceeRT8d7OhlmW3W+oQwzZsww//vf/4qtjERJn+SDwtqGCOV8O4aiQJT1fK76cFH07NnTRnax+Lls2TK7FZCcXtg0xbn/RkXXF7c6KUqvkTcOp0yFChVsFBeLImxdZcfPtkpRdfLPP//YNDnz5s2zf/ci3lhEivrBa9u6fj355JNtvkMWra6++mob1Us07zads9PJ+dJCiK2GFStW2GPc+Rn14+JdlsXFsfVRpmvXrrGddtop9v7778dmz54de/PNN2M1a9aM9ezZM6fluOyyy2JVq1aNff7557H58+fHX//9919sW6+TKMrrZ599lvL+1A11ku77+Vxx4Kabbop98cUXti5+/PHHWO/evWMlS5aMffTRRzkvy3XXXWf7zaxZs2Ljxo2LtW/fPlalSpXYH3/8Eer3RllGoqJPVq1aFZs8ebJ98ewDBw60v8+ZMydvbQObN2+O3X777bEddtghVq5cuVirVq1iU6dO3eb1WhTHvnz24agSlf4bNV2fL30SlTopSq8hI+edd15sxx13jJUvXz621157xR544AGr71wQpXlOpnXy7LPPpvw7+r+4yGtx1a8TIyivciAKUcyQA3HbZOXKlbFrrrkmtuuuu1qDq0GDBrGbb745tm7dupyWI92AhfGzrddJ1CfaYksuuOCC2G677RYrW7ZsrFatWrGjjjoqLxNKOOOMM2J169aNlSlTxk6cTjnllNj06dNjxZmo6JOiJnfbMlHXa1EZ+0B9OJr9N2q6Pir6JEp1UtwdMlEmKvJaXPXrxAjKawn+yXcUpBAiOzgB87777jPz58+3ScPZUptpCPfKlStN1apV7amFqRLhs1Ut8bQpFydYNWnSxNdnXZYlSDmArQMcbBGEmjVr5vRkXZFboiSvQgjhAuk1IcS2RJTmOUJsjfKqHIhCbIUnDpL3CCfiYYcdZhMdczLVTz/9JOdUSOA8JKdF0BN2y5cvb/OWyIkohBBCCCGEENFEwSOpkQNRiK0Mkgh369bNXHjhhfb/RB9++OGH5rHHHrMJXIV7iDwM6jwE7sG95EAUxQkZYEIIIf0qhOwBsbWg4JH0yIEoxFbE+vXrbehxr169Crx/9NFHm2+++SbtKVWJJ6qxhRk2bNhgX8ls3LjRaZm5X6rvyfSzKseWsHXdOwnVL5zaVrdu3UD32JbK4aIsUZHXKLUNBlijRo2cRO9OmzYtkPM9KnUSpbJsS+WIUlm2pXJIr0VXXqVfo913tqVybEvyGqV5zrYmJ9uSjcT3uwoeWbBgge+y5FJey5Qpk9E9lANRiK2IefPmmZ122sl8/fXXpmXLlvH3BwwYYIYNG2a3xybTp08f07dv3y3eT5cDUQghhBBCCCGEECKRkgX+J4TYKihRokSB/3MWUvJ7HjfddJN1Fnqv5cuXm0WLFpkqVarkqLRCCCGEEEIIIYTYmtEWZiG2IjjFt1SpUluEdeMQrFOnTsrPlCtXzr6EEEIIIYQQQggh/KAIRCG2IsqWLWuPch8zZkyB9/l/4pZmIYQQQgghhBBCCFcoAlGIrYwePXqYLl26mGbNmpkWLVqYJ554wiYmvvTSS/NdNCGEEEIIIYQQQmyDyIEoxFbGGWecYZYuXWruuOMOe0oVJ5qNGjXK7LbbbvkumhBCCCGEEEIIIbZBdAqzEEIIIYQQQgghhBAiLcqBKIQQQgghhBBCCCGESIsciEIIIYQQQgghhBBCiLTIgSiEEEIIIYQQQgghhEiLHIhCCCGEEEIIIYQQQoi0yIEohBBCCCGEEEIIIYRIixyIQgghhBBCCCGEEEKItMiBKIQQQgghhBBCCCGESIsciEIIIYQQQgghhBBCiLTIgSiEEEIIIYQQQgghhEiLHIhCCCGEEEIIIYQQQoi0yIEohBBCCCGEEEIIIYRIixyIxpgNGzaYd955x/7cGthayimEEEIIIYQQQgghtn7kQBRCCCGEEEIIIYQQQqRFDkQhhBBCCCGEEEIIIURa5EAUQgghhBBCCCGEEEKkRQ5EIYQQQgghhBBCCCFEWuRAFEIIIYQQQgghhBBCpEUORCGEEEIIIYQQQgghRFpKm62UVatWObvXxo0b7c/Vq1eb0qWjXyWUd2sopxBCCCGEEEIIIYSILlWqVMnoOkUgCiGEEEIIIYQQQggh0iIHohBCCCGEEEIIIYQQIi1yIAohhBBCCCGEEEIIIdJSrBPp/fXXX2bp0qUmFovZ/0+dOtWUKFHCRB3K27hx43wXQxRT1q9fbzZs2GB/L1OmjClbtmxeyrFp0yazbt06s3nzZlOqVClTvnz5vPXftWvX2tykfD/1Qb3kA8pAnaAjyJNKneQDvp86oY1KlixpypUrZ9sol/z999/mueeeM6+88opZvHixlZPq1aubk046yVxwwQWmYcOGOS0P30+d8JM6oW34WdzlFX2S7z6cLK/USb7yDKNbqZN89+EoyOtvv/1mnnnmGfPWW2+Zf/75x35/zZo1zRlnnGHOP/98s9NOO+WkHP/995954403zNNPP21+//13Wy+VK1c2hx56qLn44otN69atc1I3yMTEiRPNU089ZT7++GOzcuVK23d33nln07VrV9O5c2ez/fbbm+Ior1EYc6JsI1EnFSpUyLl+/fHHH22/+eCDD8yKFStsm9StW9d06dLFvmrUqJGTcixfvty8/PLLZtiwYXbuR/uQ6+vII480F110kTn44INzUjfI6RdffGGefPJJ8/XXX9vc+8hqgwYNTLdu3cxpp51mKlWqZHLBvHnzrI00YsSIuI1UrVo1ayNRllzZSLTFyJEjbZ1MmzbN6tuKFSuaAw880LbNcccdl/PxmH5DufJlIyEXr776qh3//vjjD1se5PV///ufrZPDDjssZ/L63XffmSeeeMKMHTvWnj9BXey22252DGYs3m677UwuWLRokXn++efNiy++aBYuXGj1W9WqVc0JJ5xgLrzwQrPffvvlpBx874cffmjlddKkSVZe0a377LOPbZsOHTrkTOdjjyAjb775prWRkIlEGwnbICxKxDzvWTE7RIUBpEmTJrZT0vAMLGeddZZZs2aNiTqUl84jRK5ATWCAoaCS+wjyiGOGiUsuBjS+n3JgjGLweGBgUAbKkgvlzSDi1Ql6JBEml5QjVwMrxgblQC8mqnTqwWubXBhgGFyUY9myZfHDqQC5YKCnLBiGYcKkunv37nZAhUQZASYwtN0RRxxhhg4daiczYcKkljpBVhLLQjk8eWUCETZ8N+2SSl6ZsHjymos+/O+//9py0FaJ8ophygSGsuRCXpFRr068CT9QB9QF5cjFZI46oO+yoEndJIJsUA7qJRdOKmTDk1f6iQff7clr2E6iBQsWmMsvv9w6ybz+mohXD0x0H3zwQatbwmqXhx9+2Nx9991Wx/K9yX2YstWrV8889NBDpk2bNiYsmFhfeuml1iGTXCden6X/4NC84447Qu8/yKs35qSSV2QlFw48nHWevCaOObSVN+Zgo4SNbKSC/Prrr1ZeJ0yYkLYP8z6O77vuuiu0MRCZuPPOO82jjz5qZcVrKw/6CdfgfMAewGkVFl999ZW58sorzaxZs7aoE0+3MN7ccMMN5tprrw1tLKbPXnPNNRnZSI899pjZcccdTVgw97755pvNkiVLtqgT7/+1a9e2Ohjn6rZuI1GGe++91wwePNg6pviuVPKKcxeZbt68eWhlYbHqsssuMz///HP8ez28OsAWQKZpw7DsE+Z89Akch9RFOnllQe/xxx839evXN2Hx7rvvmuuvv97aKOn6MHLCGHzuueeGVg58QLRNOhuJ9yhLx44drW2SzcJipoeoFFsH4pQpU0yrVq3s73IgCpEeJtbeClhhYAAykQpzpQ6lyUppYTCwYfAw4Q4LBrQ5c+YUGFDTKeJddtkltIEV9T137lzrTC0MBpNdd901VGcIZSDqL3lwT4aIg7CcdjhgWK1m8pI8oKaqk1q1apnRo0fb1f8wwCjG0ChKXnfYYYdQIzFwYv7555/xCVQ6kA/kJKyJP/JK1ANGemHQX+g3mRoyfm0IFhKLklcMLyLdwpo0IKe0TbLjMBlv1T9M5x39B3ktyiysU6eO7TthwFhz7LHHxiMMCgM53X333W0fZtXdJdQBk3hW94sCeUU+iLQ65ZRTjGu++eYbe1/G4KLqhHK0bdvWTszDWEijv9BvirLBmXAir2E673AaMuYUJa/IKjJbHGwkonR45dNGYn7Vvn17q9OKklf6Dk4QooxdLy7SLuecc47VD0XJCLqEdiHSmCivMBwPOEtTOUBSQXQmixeubUd0PBFbM2fOzEi/olepP/Ssax544AHTt2/fjK8fMGCAdVaFAX0Xm74oGwkZRa+FYSMhFywAEXlYFJ4D/oUXXrA2r2s++eQTG8XGHKcoeUWfEHX37LPPOl+4YpzBCUakX1HloD5w8I4aNSqUaEQiDq+77rqMr+/Vq5fp3bu383Igp9hI2GqZ9GHmN/ThTG22yJ7C3KdPHytsiS8mT4l/33vvve1EhsENQ4jwWQ9WBq666iobPYhBsO+++1rPdOIE+ssvv7RClOqFR10IkRkMHrNnzy7SMAau4dqinGphOg8BA41JBZOLsJwxTBYyeU4GP5R9WOs0OB6Kch4CgwzlYEUzDIgkw5GZiWGMAYsTyTVMFk4//fSMnIfANcgTxkkYspKJ8xCQjfnz59t6CQMMYuS1KMMYmPBxbSbt6Af6ZVHOQ+D7kW2ivsKA+3L/TJ4T2UC2w4Dvp76Lch4mOikyaUc/IH/IYSa6KlNdnC3oMvpjJs5D4Bq28NDvXdcLUSCZOA+9dqQsbPvD2ed6GzeRN9723KKg/YhKuPrqq52Ww7s340gmC/iMj8gr5Q4Dr19mIq/Iaia62A+0SSbOw1zZSEU5DxNtpEx0cbZwXyKDM3Eeen2HOR5pRVzbST169MjIeQiUFR2CLsG55hKej+2EPGumY+vw4cOtw8wljCE4hTJxHgLXYMegk13LyksvvZSV8xBwxuDgdQ3tTr/MZAzBhubaMGyk22+/PSPnIfD96BEczZMnT3Ye7c6OzEych0D/wkF+0003OS0H300UXybOQ09emYsgr671/fvvv28jD7Ph7rvvtikCXMLzoV8zcR4C1xDxjA2RyRiVDXlJwIRnGEPVe5F70GPPPfc0Q4YMse8R7s1q3dFHHx03Vpl48urfv7/59ttvbXg1xlLiqgSrWUwiE1+s/LBqgONRiK0FtoCgyPMF/TObiRnX8hnXYIxmO2HFkA3DUCf6IhPFnVh2jLAwJvzZRGIzAIfhCKEuMokCScTbvuqSt99+23z//fdZtQ3X0p6ZOgoyhUlztgYM14fhHKLNs+kHRNdmMgn1M+HPxlHrRde6nlT6uS+OrTAm2+i0bNKm0I7Iq2uQu2zlFWeF65QvRDDgoMq2D7MwTASTS916zz33ZP05ZOrWW281LmESQj1nM2GlHEzQE21rF6TaYp+JfnUN/YAxJxsYg7Mpe6Zg72QzMQvLRsKxka2NxFzKtY00aNAgqy+z6cPINlFDLp3vbLsk32E2ep5y0JZsqXbJbbfdZusj27GMCD2X6aree+89M378+Kz1K+Ml0dWuoA+w5dUPOKmyKX8YNhL2nWsbiTKw1TQbkCfqIltHbFGw5R9nc7ZjDtuHcVa54rPPPrORkNmUg/pgnHrkkUeclYPvv/HGG3199pZbbnFqJ6HTcGBn24dxMrt2vufFgUiIK1GH3isxrJIk0EQdEnKJo3HgwIF2okneF2jUqJGtBEJ2uYbk1ShnEvR6CoBtG0Qnei/2ozM4Ecq+NRySIrZeGASuuOIK6whnSyIy3LNnzyKji5g0ESHryXkUoD/5cfLwGddGKQ6nbGFAcz3pZwLiZxXHT/nDuCeGm2vHXXKutHzVCcaLn20lGAckiHZplPqVV9d1gqHrJ+qUfuPacecnwhI94jo6NDlXWqa4bhu/+glj1LXjjmfz094u64R+SB/2E9nBdi4+6wqif/yUg8+Q882V4w6nF3nK/Ogm7GyXk36/7c146TqS2K9+ch3ljR7JZAdAMozBiTlXXeDn2VyPObQzWyr9yivjsCs4aMiPPUDZ33nnHWeOuxkzZthgFz/6hPbh0IhtzUYimstvX2ShiwMsomAjuYxCZPHMz3Z12uTTTz915rhjwYeoXT9tjWy5XIxH5vxsiabs1KcrO4n6pV78jDkrV650triJvJGnNQo2kr2nyQNEBJJ/g0SXZ555ZlrBZ7KLAJEIubDEtjQQe7bTCRrOQ5TV2Wef7ewZhEiGVQEc2t7JkeSBYTWWk6twiqcz1MLakpYvI921486vIzPIxLiw+/mByYJLx51fR2YYjhC/92Oy4Ur2MdKzXVlPjsQgkt3l4Tp+cO2489s2QZ4hnZHu15iLiry6dtzhePC70OKyTrzDH/yQbaRRUUZ6tlFlHhjURB9Pnz49cDm8SAq/k0PsUFeTKKII/ZYD2eLzrpx3jF9+9bXrPuzXviBi36XjbluwkVyOOQR3+E2TwjOwDdJFagTK4NeRCdQHiwguwJHhN18efZ+8ay4cVb/88ot1ZPqtExx3H330kXEB83q/dcLnqJMo2Eh+Fg/SyT6LPX7bhjpBzlyAw9pv3k3Kz5ZdF1tlsQVwZPq1kdCH7EpyAW3jV15LlizpbGEEX4LfiH50CFGILoOUcu5AZHsxAuodgY1SatmyZYHVCFYnOMWUZOE4YMaMGZM2QTafI1cN+SXSwfcdddRRoR5nLQTJVYl+RWkdfvjh9hAAtt9jFLFlhbBwL4oWmWV7MjJJTs/999/f/o3PEYl4/PHHF6hQQts5dYtt+OR1STSCMQBJvMvhB0TckmwdJ2ZQgmz3cblVCGPQr4FLPbmcMATJIegy/2BUyoHBEMRYcFUWcrYEAePAhfPBc5b5NfiD1qfLfujSWRa0HC6dqkGea1vsw8ibXyMdOXeV444+HDQxfVA9ADjc/Doygbpk8dAFRDIG2TXj5evNd79xqUsYz/06MtEjLssSlT4cREe6tJGQ1yAHxDD+4egKCvltg9avC10CP/zwQ6BFFubILhxVQaOiWRhxVSeUxW+d8DnqNAq2ias+jNM8yCILdeIq6p02DiKvOO5cpGggKCCI3YcecmXTM577rZPNmzebn376yUk5aOMo2Eh5cyCy9fjUU0+1DhOiskaOHBnf1+3B0fE0GPkwOGmmU6dOKfMNIKgkvN1rr73SJu/EEGQPfZjHaQuB8kfOLrzwwi1OHcSphwyzOuspRByCHADEigJbnMn1ADgbidBl9TTxUCCiG+krhC8TVcBx9h4c5c7KwogRI2wUFd9BwtSgRmGQVU+Xof1B7xWVsqgcW+IqeilolA2rhK4idYK2s8ut1EEMsKiUw2XfkS5xXyeu5ITosKAnjrrowy4Wv1xFm2d6EEVhZJMntzCClMOlLgl6L5fjsOpky/4XtH5dyGtQPcAzuIzcDYqLOgmq11jIcFUnQZ34LgMUgtgmrnSJi3p1FQ25rcgr7epKXoOWZW2AoIJEeJ4gNpLLPpy3LcyJcNoyzkScJonv7bHHHubQQw+1oaOpcrkgoERaEamIQyXdqheOGHIgJkd0CeESToJEYeHMTgU5Edkm5h2m0apVK3tK4u67725fXoQtsurl7fTYfvvtzf3332/vgQP+mGOOMZ9//rn9G5GGbNHn4CEieelL5H5hBYhI3iAEUVRBJ4Iu7xWVsqgcWxJ0Nc2DcSAIDO5B7xG1OoEg0UtRKYfLviNd4r5OXMkJaWiCGtku+jD2Z1DYReACyhK0fqlXFwQph0tdEvReLsdh1cmW/S9o/bqQ16B6gGdwZQ+40AUu6iSoXmN+46pOkoMs8qGjXdgmrnSJi3ol1ZsLthV5pV1dyWvQspQvX96JrPA8QWwkl304Eg5Ets8Qqlq3bt1CHzpxW5d3jDXbRYm6onHSfY5ILU6xDRJWL4Trwapx48YZf2bvvfcuYKjiYPQckWz3wMHerFmz+N85vIXtzjNnzsyb0nQ5wFesWNH3IE+/d9n3KUs+PhvVciCX5cqVy3tZSAsQNJKEA49cEMRYCFqfLvthUCPfZTlcHn4W5Lm2xT6MvPlJVA7IeTr7y08fDhpdFlQPAAb2Tjvt5Pvz1OVBBx1kXMCCYJAIGdqmXr16ee83LnUJ4zm2vx/QIy7LEpU+HERHurSRkNcgO18Y/1goDwrpfILWrwtdAuTvD+Jo5qBRF84hL01SkNQMruqEsgTJgVjYmQi5tE1c9WEOkk0MGvFTJ0Hb14M2DiKvOCA54yIo++yzTyC7Dz3kyqZnPA+SA3Hfffd1Ug7aOAo2Ut4ciNdff73dtsmWzO+++85utcQh2LVrVxsm2rt3bzNu3Dh7Ku2kSZPsllBOtmWrshd5SF45cg8QdcX/OS2LV3LF8j3kf9H2ZRE2nAiOsvv5559T/h1HH5GEOPeyHXiSjTu+x1uFSDe54P2gk+5q1ar5ugef4bOuYELmd1WMQdml88HvIM+Ex1VUimf0+HU0BTFUXN6PibrfiWAqY+OQQw7xPchj8JBSwwWUgb6eyz7num2CPEM6R4bfiXtU5JXyu3Q+MCn067hzWSfIm9+25hlcRZcdeeSRvh13GOksormYMFAfl1xyie9FACbaF1xwgXFB586dfZcD2eLzLiOp/Opr133Yr31BZIzLBcVtwUZyOeaQnsqvUwU90qFDB+tMCQplOOecc3zrJuqjS5cuxgXk5/c76afvX3TRRU6il3DMtmjRwned4Mhk7u0CcrYHyYFInUTBRnIV9Uf/7datm++2oU4KOwciG/DF+I1yo/znnXeeE7seW4AUdn5tJPThySefbFxA2wTJgXjxxRc7KQeHtHK2gh/QIQQuHXDAAU7KYu9pcgzOQCIC2erJFmQEDYchh0MgfDhgGIRQdu3bt7fJRckB5xmGEydOtI5HkmPiFSbSyntx7+TDUzi0Jd22UiFcgWOQ3J1sH07O74Fz+9VXX7Vync5Q8xRutkoK2WbCwgmUiQcLsbU5qNz7NUr5jF+l73KQd22kB3HcuS6H3zpx7cgEnA9+DB/Xk0om/X4GeQZWBniX2+z8yqvrOsFx52dC59qRCd7iSTagR1w6MoH7+dFPrtvGr35y7cgMstDisk7oh34ddxjpfNYVOA/86APKfvDBBzuLBiG1CXayn7JgFzDxcYmf9ma8dLltKoh+8qODCgM94seJwBjseleUn2dzPebQzn4dd4zdribaQPCJH3uAsnfs2NHu9HG1uInjzo9eo31cBsBExUZibu+3L+LIJI1TFGwkl+kQcAD6cdzRJiy+EcTiAg72xHHntw+7WjwDZM7PAW+Unfp0tTuC+sVx52fM2W677ewY7gLkjcNXo2Aj2fKYHMOW43nz5tlT1DjghIMlvPBOGvvNN9+077Nlmeveeecda5B5tGnTxkZXEbWY/MIJmcgzzzxjT3AWIheQpxC5ZdXj66+/tg5t5A9jhC36t956a9rPsurKpJBDUDgwKNOEuOQKPeGEE+xJzt9++609pYnVOb6P94PCfbJZTeLawtIRBHHcZbsyzQqWa0cmMJBkM7hS9nSnyAcBAyybXCMMOmGcRE9dUNfZDK5MWlw7MklrQRRSNm3DtWx3cmn0eGMZhm42cL2riMxEaPNs+gF6qHbt2s7LgeMuG2cg8kTZXTsy/dwXJ0EYiwCe3s8U2tHvCrRrvc0E27UjE6PfW0zOFK5t2rSps2gDT7dyuFm2oGPvvPNO45JevXrZes5m0oBsE33oypGZWC/ZbPmjbcKQV/pBttGqjMEuU6t40G+yWVQMy0bCCZKtjUTkvWsb6dprr816URHZJk89ebxdQeofoqmy0fNeSoZ0h3L6BZ1AfWQ7ll133XXOHJlw4oknZr1Tg2sZL10uRtAHBgwY4Ouzd911l9PF3qjYSJSBvPjZgDxRF7fffrvTstx22222jbIdc3BQuXJkAkE5Rx11VNbyyjh15ZVXOisH9XDPPff4+my/fv2cOTIBnVa/fv2s5JU6IfqQICaX5D0HohDbCjjz2DZP5yaMmzwd11xzjfnf//5nHYOFrfSiDO69917z7LPP2uhbonQz5dFHH7XRuJz0zDZMHOyvv/66kxVuysXzZGIgc022ii0bMKQyMZAZyJhcuI5cSs4rlclz4uBjQuzaCeKB8yuTCAgGEMrhMu9SIjgDMYAyMTgY3F3kSEkGeX/ttddsNHomBgfXYAS+/fbbocgKE9ZMnIjIBhNK19ExHhiCyGsmzkkm2FzrcmU9EfplJo44vh/Zdh255MF96Q+ZPCeyEYbjHfh+6jsTxwbynWk7+oHxCTnMRFch1y62GiaDLmPRGF2faR/mEDL6vet6wYGY6cIC7UhZ2IHg0gni2RWM54w7mdQJ7Ycd8NBDDzkth3dv+k0mC1eMj8iry8lTqn6Zibwiq9ku6GQKbcJzRsVGysSx4dlIYSyKcN+33nrL6thM5JW+w04xAj5c20kDBw600VSZ3JeyokPYLeR61xpOO2x7njXTsZUo6JtvvtlpORhDvOfLVL9ix6CTXcsKc5w+ffpk9Rmcjq6dIEC70y8zGUOwocOykfr27WvncZnA96NHhg8fnlVO/UxgxyeH03L/TJ+T9AM4d13Cd7OTlOfLpBzIK3MRz4ZwCVGzBAlBpnqqV69e1hfgEp6POUs2NhJOXWwIl/nVoUQsSIbmPBL0mPApU6bYk3C91YSXX37ZKrSgx8vnAsrLtlghcgVqglOk//nnny36CPLI5BODPixHWSJ8P+UgSjMx5N/b7khZwppkJ4fre3WSeMgTMMGiHK5OwCyK1atX23KgFxNVOvVAOTD+XK/apktcvGzZMvtKTKaOXOAcoCxhOTE9iEbv3r27jWaH5G0h1ANtx7aEoUOHhjax9Fi7dm1cXhO3D3l5BqkT1wN7KqgH2iWVvOLA8iJac9GHyXdMOWirRHllguPJa1iT7ETYHuPVSbK8YqhRljCilpKhDui7lIO+nAiy4dVJWI7dRJANyoFuS5RXvtuT17CcQh7YN5dddpldePP6ayJePRB1/OCDDzrLRZWqXR5++GEbfUD78L2J+sQrGxNKriNHUVhMmzbNbl/68ccfbd9I3tqFzNJ/iAJhIhp2//HkNdkW9+TVb2qLbGE3kzfmJNYJbeWNOa4jZdPJCjqeFDKykYxNo4MsTpgwIWUfRl6RUSJqcDyENQbyvXfccYddaEdWvLby8PoShws89thjTg/oSOarr76ykVGzZs1K2YeB8YbFC2yYsMZi+iz3ZwdgYTYSEWDUSRgLvh7MvXGUcjBkspx4/8dZgoxwZkI+bSRv50yYNhJluO+++8ygQYPsWQ98Vyp5ZaEcmcb5HhakjGMcJrVcOnlFt7IDjvMrwrJP0Kf0iRdeeMHWRTp5JVUANj3O4LB499137VkeCxYsSKnXADlB54R5/gY7FbEHCrORqCvPRsomSCLTeWuxdSD+9ddfpkmTJlZJyIEoROZghHmT7SAnIgYFhUn/ZTBBgTKpzYXzI52TiMGV76c+8nXqO2WgfagTBvywJ/rpYFihTmgjBjImB7mYTCZCCoznnnvOps3AOKVOcMKw1ZHIIiJ7cgnfT53w09sqlQuHUCroN54xGBV5zWcfTpZX6iQXDsxUoFupE8qUzz4cBXnFCUHkDosB9GfqBDnBgGdlP8hpydnARI4yPP300/ZwP8rhbbskTxOOw1zJLZM6Ih1Jj8IkApCT/v3720XwsCLvC5NXXhpz/g/ZSP8HaXXoN6NGjbKTbk9e2XZJvsSwIu+TwbmLs2rYsGHmp59+ivdhDuikD5P+JBd9mO8lr/8TTzxhvvnmG2ubAGMwTiOcZGEvsnqgU6kP6oWDS706wWmEjYSTKhegP5CPJ5980taNdwgkepW2CXKYxtZqI7GQSGQ9kbksGnltQ0os6oRI91zJ6/jx423bfPbZZ/ZcisRdc2eccUbOAiX4biISX3zxRfP777/H6wRZJeepq9OOiwI78aOPPrJ9ePLkydbh7MnJ448/blMF5GpeTD1gI7EYkGgjkf4AG8nP7hk5EDN0IrJaSIWz6hBG4vgwoLyuQ5aFEEIIIaIIOc0wkImGISKiuJcjamURYmuR16iUI0plUTmiS1TaJkpliUo5olQWV+XI1IGYnyX2iEByZ16sMnzxxRc24XS+og6ywc+pREIIIYQQQgghhBBC+EGHqAghhBBCCCGEEEIIIdIiB6IQQgghhBBCCCGEECIt0d+vmwaXSTu9AyEqV66ct2Ty2ZZ3ayinEEIIIURQvPzU/MxV0vYolyNqZRFia5HXqJQjSmVROaJLVNomSmWJSjmiVJZcl0MRiEIIIYQQQgghhBBCiLTIgSiEEEIIIYQQQgghhEiLHIhCCCGEEEIIIYQQQoi0yIEohBBCCCGEEEIIIYRIixyIQgghhBBCCCGEEEKItMiBKIQQQgghhBBCCCGESIsciEIIIYQQQgghhBBCiLTIgSiEEEIIIYQQQgghhEhLabON8ueff5olS5ZkdO3mzZvtzx9++MGULBl9nyrlbdasWb6LIYQQKZk9e7b57rvvzIoVK0zFihXNHnvsYQ499FBTokQJ1ZiIHHPnzjVff/21ldfy5cub+vXrm8MOOyzn9sD69evNZ599ZubNm2c2btxoatSoYY444ghTrVo1k2t++uknM2XKFLNq1SpTuXJls99++5mDDjoo5+UQW7JgwQLz5Zdfmn///df+f926dWbTpk2mVKlSxba6fv31V/P999+blStXmkqVKpm99trL2sm5HnP+++8/88knn5hFixbZ/9eqVcscddRRtky5JBaLmUmTJpkZM2ZYOalSpYqtjz333DOn5RCp+eOPP8y4ceMK9GHaLNfyunbtWvPpp5/Gy7FmzRrbh7bbbjuTa3788Ufbf4Cf06dPt+NOrlm+fLmtk6VLl1qdWrduXduHy5Yta4orf//9t7WREuUVX0SubaQNGzZsIa///POPqV69usk1M2bMMJMnT46XBfstH2CjJdcJrwoVKoT7xbFtkDlz5sTKly8f4/EyeVWoUCH29ttv25+ZfiafL8opRD74999/Y3Pnzo3Nnj3bvvid93LNhg0bYosWLYr98ccfsVmzZtk+v3Tp0timTZtyXpYVK1bE/vzzT1sflGfevHmxtWvX5rwc69ati82fP9+WgbJQpuXLl8c2b96ck++n7t9///3YscceGytRosQWemuvvfaKDRkyJLZy5cpYrvjvv/9if//9d1xe//rrr9jq1atjuWbjxo2xxYsXWzn15HXJkiV5kddVq1bZevDqhPpZs2ZNzsuxfv362IIFCwrI67Jly3Imr3zPmDFjYh07doyVLFlyC3mtX79+bODAgbZMYYMeveWWW2I1atTYohzlypWLnX/++bGJEyfmpE1GjBgRO+yww1LaHk2bNo0999xzOdVv9FfktU6dOrYMO+ywg+3X+RhzFi5cGC8HP//555+cySt88cUXsU6dOsVKlSq1RdvsvPPOsbvuusvqmVyBHDDeJfZhxsNc6tW33norduSRR6aU10aNGsWeeOKJnNgov/zyS6x79+6xKlWqbFGOypUrx66++urYzz//HHo56BtPPfVU7IADDkhZJ61bt469/vrrtu5ybSMl9uF82kiJfTiXNhLfM3LkyNhxxx2X0kbac889Yw8//HBObCT664033hjbfvvttygH8+dLL7009uOPP4ZeDuRg+PDhsYMPPjilvLZo0SL20ksv2bEpbCZPnhzr1q1bSv9B9erVY71797ZynGsbKVFec20jffzxx7GTTjoppY1Ur1692AMPPGDHwVzYSLfeemusZs2aW5SjbNmysfPOOy/2/fff58QOeOWVV2KHH354Snlt0qRJ7Nlnn82JTT19+vTYFVdcEatYseIW5ahatWrs+uuvj/3++++hfX8J/jHbGKy6NW3aNOPr8dK+/PLL5qyzzrJe26hDeb1VGiFyASuSCxcuTNs/kMk6deqEvmpJVM78+fPtCmEq1cVqIStRO+ywQ+gruaxOLl68OO2qE1E7rFyGvQrECjJ1wipUKsqUKWNq1qxpIyHCArk455xzzJtvvmnbgGiYZLz22HXXXc3HH39soxLDYvXq1TZKJ52eJMqsdu3aZvvttzdhQj148upFuifC6i3RZchJ2Cu5y5Yts1ExrByngggZ+k3YkTL0FyLskNdUfbh06dJxeQ2rD7OKfdFFF5lhw4bZ70OvJON9N3rto48+Mvvvv38oZfnwww/NySefbOslVb8Br4z9+/c3N910Uyj1gnx06NDBfPXVV2n7MDKKHBOJOHr0aFs3YUE0KGMO+g3atWtn5Zd+O2bMGBvZjLyiZ8MEWaEPUx7kNbkc1BWRotRFWPJKW/To0cM89NBDaeXVax902gcffGAOOeQQE6a+p07Qs6kgUof+S72EBd99+umnWzksSl6JuqOtGHvC4IUXXjDnn3++lY90fdiLDn3yySfttWFFUh999NE2MsZ79lTloIxt27a14zWRibmykZL7Ti5tJOwB7NhU5ciFjUQZzj33XPPaa68VaSPtsssutlxhRYu+9dZb5swzz7RlKGzM4W+DBg0y11xzTSjloA1OOOEEGzlclLy2aNHCvP/++6FEmtFv77//ftOzZ89C9StlQVZef/11W+6woL+gX5HXVGMOZUS38v8wbaRLL73UPPPMM0XaSJQDG+mAAw4IpSw880knnRSPtE+FV8Y77rjD3HLLLaHUC3Z8x44dzRdffFHkmHPggQfasQkbJQyGDh1qrrjiCvt9hckrfx8+fLg544wznJch+vt1hRB5BSOQ7RaFOdf5G9dwbZiD6m+//WYnuunWPVDoGKy///57SmPEZTg/r8JC1pngUI50jj0XELJe1Hd4E+C//vorlDIweOEAefvtt+3/0w3wtBkv6g1jEHkJA+SDLdSFLbJgzJPmwttmFgbUO/LK9op0ssj79BnaMF29uYDJE+2fznnoydKsWbOsoyQs0BPUiWcYp5Mnyjtnzpy01wSBOsfZ/fzzz8e/rzB5RZ8cfvjhdlLuGoxuJiKFGcaJZbz55ptN3759nZcDXcVW6W+//db+P11ZPDmeNm2a3eKNbIcBdU77e87DVNC/6ef097CgXZDXdAtWXl2hRyhLGPLKPZnIPfzww4XKq9c+9N82bdqYiRMnmjDwxrV0zkNgXPTGyLDa5bjjjrMTy0zkFb3GmMM46Br0SJcuXWy7FNaHPWfNBRdcYJ5++mnn5cDZ3rJlS7uVG9KNOV4ZSZWAszGsoAkWiaJgI6En+A7PeViYjYRNEAbIximnnGLeeOONjGwk6g55RaeE4Tw89dRT7TMXNeZQlu7du5uBAwc6Lwc6tVWrVjZNRibyOn78eNO6detQZOWuu+6yzsOi9CtlQfew0DZq1CgTBox5jDneglUqKCP9PUwbCWf3s88+G/++wuSVdHHYSKQ9cQ3BBscff7ytl0xspNtuu83cfvvtzsuBfcw2drZxZzLmTJ8+3dpIYcyJH3nkEXPZZZfZ7ypKXvk7iwWvvPJK9B2IDBgY53jHWSFmpdozZFBYN954o13JJ8phxx13tEKKskwEZc+ElNUgIpo6depkO0siv/zyi/UEs2rENTQUA6IQ2zqff/65XV1hAA4bjK5sJgFcW5ih5hcUJcZUpjkmMBoZXMOAyWKmgwLlLmoi7BfqAidcpo4nJtphTKD69etnHSGZOmwZ0JBdVhRdGz9MSIjCyPS+OKrCcEDw/bRNYQ67VA74MIxBZDVTRynfzyQqjAh3xn/6cGEGTxDdkylEcb366qsZ1zX9C+MRR59LJy9OMuwcypHNYgcORKIWXXL11Vdbp2Cmz0cbIq/nnXeecU02eoq6o78X5szyC3WBvCK3mUAZwnBAECX71FNPZSWvjA3Iq+txh/vR7pnKK7on2XZ3Qe/evc0333yTlbyiA11HYbCogEMwWy6++GKb780lnTt3judOzQTqDqcMczLXUNfZ5KDHRgrDkUk/oA9nKifYJWHYSDioiEbKxkZi/GOO69ImQD/hTIBs7nvdddfZ/uaSCy+80DrKspFX+huOE5eQO46FuUzxnGannXaac1mJio2Eg2rEiBFZjTnYjDj6Mi17JqBDmCfQb7Kxke68804bhe8SHOk4u7MZc+bMmWN9XC4hWveqq67K+HovryqLXPS3yDoQMfxw5BHiS+PhjX7ggQfi28QQMLYX33rrrfYn4fM4AvHme2CosyrGA9Ox8fYyCJx44okFBAjjiAbiGhyUOCrbt29vJ4RCRB0mXsg4L/pLgwYNzPXXXx9PghoV/AyQYRhgRLpk6ozxYKXS9cTSizbJBvRWGJMoypGtQ4MB2eUAT5s8+OCDWRu5lIFDq9gu6RL0f7Zl8fOZTCYi2U6I6PuuV9d5rmzHRD+fCUv26PcuE1PTX9iq5OdzGPYuow6IQsIhk22kNNtSXEaEoEfY4pKtLuF6tpSx4LstyivOr2xlj6gRl44Qnu3ee+/NejsWbcOYw3ZJlyAr2corjnKXjnd0JNu3si0HuoeDZ0h674ohQ4b42irHtjI+6wqc/8yFsq1n6pAt1S6jzv3aSGHsBvAje4xTmS4aZGojDR482JeNNHXqVDN27FhnZXn88cdtfWRbFraH8gyuwLHC/N/PmINjy+Ucg7E028OnqD/alYUdl/iRPT9zo6L64n333Zf152gb2hWbwBVEQDKe+rGR8D25bJfnnnsu63Js2rTJ2oxeVLgLmG/5kVfK/thjj5nIOhDvuecem7uBRif/Sr169WzI5+67727/XrVqVbvlgIhCTkjjVE62ZeAA9FZucRiywkljEanIi/tNmDDBDpBeY+JJ7dWrl91z37BhQ3P33XfHT20SYmvg2GOPtQMh22uI4nr00UetEzEq4HzzMzDxGdeOO79h4K7Dx1kk8bM1mpVCl447BiY/EagMJC7rhAmq30hYjFJWOl2BoeEncg6DzbXjLiryStv4mbzTf1067pA7v9tdXdYJC5t+V+wx2lxN+mkT7uVHl/BZIn5dOe5wZPpN94AjBGeOK+iHfibv9HvXEUxR6MPYw0Td+FngoG28bc8uYPzy42hCtlxGeZNv0G9bM+a4mkQhq8xN/IzrfAanvatdJNiOPJsfsNeIcnVFuny/mdhILh13fuUuyFiVChxlfu/n0kaindHVfuwB5JXncOW4w5HpN+cz7ePKcYevAQePnzpBvmgbV3Y9z+VXT7occ9jd4DfdETaSqzGHNuFefm2kTz75xAaouYA8kH5tpFKlSjmzkfB94UD3I3PUCf3G5e4ipw7Ed9991zRr1swmNiapZuPGje3qVmFgkLCC50UpouT4f7ly5QokvEfZeNEqbI/eZ599bO4RojaoTBQSSayzOTxFiHyCjJNgFac720/OPvtsm0eOPsCWMvoQsk9uCRzoqUD+2cJPUt9E3nvvPZsmIIhjJIjR73LCgMLzu8KGUeoy+sHvcwUxDtLpTb8DmstycPiUX0MQvU1OIFeThiDP5XLCgKz6HaT9OlCiXidB+qHLcpAHJtvV22THnYv+w9bBIFuPeAZX0WUvvviib11CneDQ2dbkFQe6335YWL5EP/Lq1zFEm2I3uErlEeS5XLbNSy+95PuzjDnIu6vFiCBOa6KPR44c6axOgjgyXNVJUBvJZVqeqNhITPiD2EjkLHQRYUYkY5B+SPvgRHQBY4Zfe4A2xfnuAuzPIIdtEOXtams3tp/fPuxSXoOMObQpgV4uHJps1Q2St31btJHeeeedQHoeO5yckpF0IBJJxeoeEYF4sUn8jCPES1aeagAlihDniXd6K1GJOD7Iy8EkDAfJDTfcYBvPW/2gwxPJyFYEThDDycJJUeSYCPtUTSHCgpPomLSQzJeBjVVhtvpzWu0xxxyTcvCnr5DTxEt268H/ydER5IS9II4Ml06QIPfC6HEZ+bct1InLcpBzKchhNbSNK+MnKnUS9F4uyxIkijAqdYIB5upAJGyIoAsKbIsLStAtt0xIXaVFCFoWJguuHGZRkdcg5SgqsXk20MZB5dWVnESlbRhzgsibq2hV+o1fx5A3wXXRNtRtkC3I1KXLLaFB5MRl1HtU5JWFoiDjF/3fhQM+qJ53Ja8uxlBX292pE78LilHSry5tJOok6Pjlon2C1muUbKQlS5Y4sZEoh1/nrofLdFpOHYgIcJMmTcyAAQNs9OEll1xiLrroopRbBlDQOD74DOH3HhycgteYCKrKlSvbbc8MjtzX6+g0xOWXX24jtMhpwmo+yWbJgRhG/jUhwgYZZhWZkzDpL+Sg4JTBfffd10bx4lxMd3IfyYhx2HuHEaGsyEPhJ7m3KJwwDrnYmnFhtLgyfKLSNlEpR5SISp1ERV6jcg8X9wnztPviTpTkJCpEpU6icg8XujUq+jkquKyPqMhJVO7hon6jMva5LEtUZNbFjq2o1GuU5CTmoH2iVCfOHYh169a1Do9E2GqcfDIdzkPyIJKUnEhCL/rQg0NUyO/jneRFuDKrOPXr17d/J0QWBwmh4RzagnMRJyROFpe5PIQIE2QYJzkRtC1atDCtWrWypyvRP5BrDw5ZIacouZBSwd/222+/eKQv/WXXXXe19wtCkJWOoKskLu/lsiy0RRTKEZW2IW1EkC0gfLZatWrbVNsEKUeUyhKVcrCSHCTSJxEWHYPeq2bNmoHLwUJpUCPQRTkg6H3ov0F0wLYmr9SFq7LQNkEjZFzJSVTahj4chLJly5qKFSs66cNBI8tctI2L5wmqj6JomwS5V9AxPBHSFAW1kapXrx64HEHb2JW8QlCbjzRmLgjah8FVnQSRV2yaoONEon6NwpgT9B447KJiI1WtWtWJDYu8BnXwuqoT5w5EnB4zZ84s8B5JLHfbbbctnIecSsNe7MIUAQ/KlmQchjgTvdOavfxSyQ3C/6OyGiBEURBtyLHw9Bm285NfBEUDyQaHdxR7OohC9LYx8/P8888PPKkLkg7AZSoBtmljJPuBLdyuBtYo1Qly4rd9XZbjlFNOCWQwEWWbmO92W2gbFgR4+YGJoF9Zd/1crhy7wCKhXwPKZducdNJJgZJhs9DjwgAjVUuQSSFGJLsuXEDOar86kj5MqoxtTV5Z2PM7oQuim1PJq9/tZJRh7733jh9iGBTPNsl32yBvfnUJbcqY5aJ9SCsT1KnK+OcCnsmvvFKXLvtwkLZ2KSdRsZFOPvlk39FH6GUCagiOCUqbNm2sLe0XnsGbg7sYc/zKK3WCD8EFjKFBHDLISWKwR1Abye847NpG8lsn6BICWggsCAr3CWJrMW7yLFGwkU4//XQn5WCXbZCxi3lJ27ZtTSQdiNdee60ZN26c3cLMKclsyXziiSfMFVdcEW9QBiqSY5KUEiFlTzevxP3/OEC4D1GIJJ+k8rk3JzcDRjwDTdeuXc0PP/xgnZTkSSSi8YQTTnD5SEKEBoM5+Q1xsHuGKP/HgeAdGOQ53ekzRPOm45xzzrGRvg899JA9iZy+4WJA8+PM4DPJUcVB8TvZdrVSmVgOPwocR6ZLxxCDkt8Jncs6Qe78GreMB1deeaXT/uTHcUddus6d67eOXa4OAuOkn8k2jky/TtBUUAa/k0OXdcJE268uwV4hQtwF6ILLLrvMl1HqOTIPOOAAJ2Uh1Yxfpyp9mHQyrkCn+ZlYIqtBJscuo35c6lecB+wm8As5yF05M/2O664iqDxIzeJ3Moe8evORoKCXSMPkR149x7uLiTYwjvp1NKObWYB2hd+I5DBsJL/juss+TI5/v7qJMceVjUQZunXr5kte6W84zBs0aOCkLIwZfuWVsYoxywXMqdip5Xccvvjii53ZSfTDKMgrTje/Nhdt49JGQk78tA112bx5c3PQQQc5KQvt7HcRYOPGjdbWc8HOO+9sTjzxRN9jzrnnnhtoITBUB+LBBx9sT4ziZM5GjRqZO++80wwePNieLgtz5861JzXzk4Zly7P3SjzJiIgshJjOfccdd5ibb77Z3H///fG/I9wcmMJJeUceeaQ9+RmHCyfUHHjggS4fSYicwiCPssEhjoz/9NNPNo8oUbcM/oUZbUyO+RyTDhRNvrYLBd1ilAomINmu9uMEce3IRAlnO1hjTIdRJ362YyInLo10InWQz2zLgVFASgqMUpf4mZBRj64m2UHqGUPU5eAOtIufrUuuJraJUI5sjUHqw6UjkzbBwPUjr5Q/SMRtKqPUj3OXSWX37t2dlQMHFZEY2bYNuvB///uf2X///Z2Vxa+uDENe0fPZGuroQ5eOTOSDxfNs9ROfoyws8LjEj670U49F3Y/nylZeuZ55iauIIUCX+HGE8BlXE20vWodUTtnWM3WCE9SlfUIZsnVAhGUjobPzbSOhD3B4+RlzCC5wFaUKOGT8LBYx5lxzzTXOykFkNHN3P/J6/PHHO3NkAvrVb8SdK0dmEBuJOY6LCFUP5ll+Fp6Qb/q9y2hmz0bKtizIuEsbifk0kcR+bKSWLVs6c2QC/dDPmIOMu1o8C8WB6IVYTp061W7JJGcbk0uPevXqWS9uqhfh1R533313PCqR6MIePXpsIUA4DTk4ghMAOZr622+/dapohcgXyP+pp55qunTpYo1ConmR9aIieHAw0mdcHp6C4y4bw45rXUYbJCpiHE6ZKnC2xaJvwoAFj0wdPegtBh+Xk0oPHCtM/jMdXJlQunIsJ+IdmpVp23AdZX/77bed5bbzoF1on2wmo66j/oDnQl4zdXozYeF6145Mz7mSTfTfTjvtFOj09sKekQlRpm3OAsAuu+zivBy9e/e2jq9M5dXLL8Tip6vt9kDffe6557L6DPKBUe1qS4wHO0Wo60wndFyHnmcniWvoj9n0SXKMuXa8A32XMSRTOUGnJabrcQWOJnbWZNpvkBFepERx3Y+9PpmpnmJym40+zpRBgwaZPffcM6sxh7p44403nOpYgibuueeerD/Xr18/O7F0Bc/06quvZpWyhevY3v7www8b12TTJ4uDjUQwTdOmTbNqG8YagmJcpuBhF1/ioaWZcv3115tjjz3WuISc7ej5bMacHXfcMe1hkn5h8QzHSrZ6gXK4dGT6tZGCRKin48Ybb7Q+mWxtJOTV5YIvtihykk30H+3IXPiMM84wLhk6dKit62zktVq1ajagznXqM4LqsoVgPle7VkJzIAohioaJIw6UVKCA2Yq8ePFi64gnuhZD1QPFjkJNDnfnBHIcIq5yYyUagyjywpwh/A3Di2vDgnphizdGXmGDB/XCdS6jHpK/g4GkqGTDnhPTZV6fVBM0jJjCBm1vZTAsBxVGzEcffWSjILzJazqoL8pMXlvXg1niKi6T3MLkFdlgYotchwXtjxwWNYmnPrjOZeL2ZKgP+mZh8uoZr663/SdC30VeC1sxR34oA9e5djB7z/nee+/ZCAgo7DuoL+SbaHDyFrqG7W2kbOF7CtNXXrsR8fDII48478f0mbFjx1qHQlF1zt+ZyH355ZehOHiB+/MqrE7oL3x/GJFLHrQ9dVKYc8M7CIo+7HKy78E9cQ5543ph7UN9eY4Hl7mOEmF8ZVwrzJlOmWkX9EkYYw7Oqc8++8yOIZmMOeiTzz//3DodXcOuj7vuusv+Xpi8en9jVxWLGK5BTr/44osio5i8+uLAS+rEdfoO7ztoe9lI/6dHCAIg9USmNtInn3wSyo46xpAhQ4YUediTJ0PItx8neVFgezGGMG/IZMxB5yDfrqPNqYcHH3wwvlW8sL5DfVGWJ5980kmaqHQ2En25sIORvLQQYdpILJi2a9cuIxsJe+6DDz5wuijiQYQ0TsRMbSTSMeDscz3uMIdC/ho2bFhkHy5ZsqSdX3B9GA5eFiQ8J2JRYw7lfOCBB2xUqXNi2yATJ07EXZ3xq0KFCrG3337b/szmc/l6UU4hPP7999/YtGnTYvvtt1+sd+/eoVXM5s2bY8uXL4/Nnj079ssvv9gXv/Mef8sla9asif3999+xX3/9NTZz5szYb7/9FluwYEFs/fr1OS3Hpk2bYkuWLIn9/vvvtj4oz5w5c2KrVq2K5ZrVq1fH/vzzT1sGykKZFi9eHNu4cWNOvn/t2rWxoUOHxvbdd1+rp0qVKhUrU6ZMrHTp0vb/1apVi910002xuXPn5qQ8yOSKFStif/zxR1xeZ82aFVu2bFnO5XXdunWxefPmWTn15HX+/Pn2/VzL6z///GPrwZNX6mflypWxfOitv/76q4C8Llq0KGfyumHDhtizzz4ba9KkSVxeE8fZ7bbbLnbddddZHRc2kydPjp133nmxsmXLxkqUKLHFmN+2bdvYu+++G7rcIgcPPPBArF69einrZMcdd4z1798/tnTp0lgu4Hnpr7RBnTp1bBn4Sb/Ox5iD7kosx8KFC60c5arvvvTSS7EWLVrY7y9ZsmQB/VqpUqXYlVdeaftSrmCcY7xL7MOMh5Q1VzpkyJAhsT333DOlvNaqVSt2++23W9sgbL788svYaaedZsuQ3Idpq5NPPjn2+eefh14OdGjfvn1jtWvXTjl/2H333WMPPvigtRdyAbKAvkA2EvtOPmwk5AUbKbEcubaRHn/88VijRo1Syuv2228f69WrV05spPHjx8fOPvtsqz+S5ZX/n3DCCbEPP/ww9HJgj9x9992xnXbaKaW87rrrrrH77rvPzjPChPFk5MiRsWOOOcY+P302sRzo2nPPPdf6F3LFf//9Z22kRHnNtY00bNiwWNOmTeN6LNlG6tGjh7Unw2bKlCmx888/P62NdNRRR8XeeeednNhIAwcOjNWvXz9lH65bt26sX79+dhwMm08++STWoUMHWx/JdUK/PvPMM2PffPNNaN+/TToQMWjKly8vB6IoFmAgoyyOPPLIvBhlQiTCAP71119bo++WW26JDRgwIPbaa69Z41mIKDJhwoTY/fffH6tSpUrc2Y3xnmuYaD/11FPxclStWtU6Z3INk/6PPvoodu+998bLUqNGjZxNXFLhTTD5mU+iUI4ffvjBTmJuvfVWO1l5/vnni/XYz5iDcy5RXqtXr57zBUVgYfPRRx8t0IdztWiWCM9OYASTfG+y/+mnn+bc8R61vhOFctAGTOyxkRLlNR82Eg4pnJqJ8pqLRbNkGFtGjRpVQF5Hjx6ds8WIRFjgfeihh+J1gmM3Fw6hqMorfP/993ZxMdFGwiGfa3A4P/300wXkNZeLZh6bNm2KjRkzZosxJ1cLiomwKMJCWqK85mLRrAT/mG0QTqRdsmRJxgk3//77bxtSHUY4sGsoLzkghRBCCOEGtlN5tgCHvRX3ckSpLCqHkJxsvf0mSmWJSjmiVBaVQ3UiOVHfyYZwkoRFAPadZ7r3fMOGDVaBk28izDxUrqC8QgghhBBCCCGEEELkguiH2wkhhBBCCCGEEEIIIfKGHIhCCCGEEEIIIYQQQoi0yIEohBBCCCGEEEIIIYRIixyIQgghhBBCCCGEEEKItMiBKIQQQgghhBBCCCGEkANRCCGEEEIIIYQQQgiRPYpAFEIIIYQQQgghhBBCpKW02UpZtWqVs3tt3LjR/ly9erUpXTr6VUJ5t4ZyCiGEEFsLsVgs/tOljbG1liNKZVE5hORk6+03USpLVMoRpbKoHKoTyYn6DlSpUsVkgiIQhRBCCCGEEEIIIYQQaZEDUQghhBBCCCGEEEIIkRY5EIUQQgghhBBCCCGEEGnZZhLp/fXXX2bp0qWBcj9MnTrVlChRwkQdytu4ceN8F0MUUzZv3hzPG0ouzpIlS+atH1AOylOqVKm85gXdtGmTfUGZMmVyrkeoh1GjRpnhw4eb2bNnm/Xr15tq1aqZo446ypx//vlml112yWl5vDJRJ8gHbZMv3Zoor8gJr3yxYcMGWx7qBDnJNUuWLLEy8v7779vfqYuddtrJnHnmmeaUU04xFSpUyEk5kIuPPvrIPP/88+a3334za9euNdtvv71p3bq1ueCCC0yDBg1MrkFGEvNA5QvkI9/lmDx5snn66afNpEmTzMKFC+17y5YtM99995055JBDct6X810nfP/nn39unn32WbNo0SL7Hj9vuOEGc+GFF5q99tor52WiDyGztEU+xhzGmHfffde8+OKL5s8//7S6rXr16uaYY44x5513nqlbt64pbn145cqV5pVXXjFvvPFGvN8sXrzYDB061Jx11lmmatWqOSkHz/7111+bZ555poC8XnvttVa/7r///iZXLFiwwAwbNsyMHj06XifM1V599VXTsWNHU65cuZzJxgcffGDHHK9OaJu+fftaG2nXXXfNSTmSy5RvXR8F/cp3TpgwwY45ifJ6+eWXm27dupmmTZvmrCzIJjKCjeTJK7bSCy+8YE499dSc2khjxoyxfSexTm6++Wbbh3fffXdT3OQVO/Gtt94yL7/8cgH9ev/995tzzz3X1K5dO2dlmTJlipXXiRMnFrCRxo0bZ5o3b56z8ZjvfOmll8w777xTQF7R/Z06dTKVK1cO7btLxPKptQKQmGwW52GTJk3MunXrfN0LhYBAMsCvWbPGRB3K6wmKELmCQ4b++ecf2/c8tYGSJOEqE4cwFVUiTFRQmrz43QNDlHLgiMiFk4g6YMJAnfz777/x93EOUQbKUr58+dDLwOTkgQcesMYFz+05MoH/Yxwee+yx5r777gvdSOa7li9fbuuEwd4DByIOTeokV46z//77zxqDtFGivCKnlCPTRMEujC5PXpl0e5QtW9aWg3oJW15pj169epnXX3/dthGvRHnl/9ttt5257LLLzI033hiqMx7jfMCAAWbevHkp5ZX/H3nkkVZeGzZsaMIEufDklbGfCS0Gaa1atewEnPahnXIB3085VqxYYU488cR4OT755BNbDtonbL755hsrJxjHyIDneE9kn332Mf369TPt2rULvTyMNdQJY0+HDh3idYIzjzqpVKlS6GWgz+BkmDNnTlp5Pfzww829995rGjVqFLq8Ih/UCfotsRzemBO2QwZd8dBDD5nBgwfbcnj6w8NbUESG6cM77LBD6OVBt1IW5gCJffjbb7+1+jXsMYe+26dPH/Pcc8/Fx73EqRXjDu3CJPeOO+4wFStWDK0sLCTeeuut5tdff92iD3v/P/jgg83dd99tf4YF9kjPnj3txJa6SJQRD9rm6quvto7NsBai+e4nnnjCymJhNhKOb67ZbbfdTC5tpER5Rf/m2kbyxpxE/frpp5/mzEb67LPPTO/evc306dPTyusBBxxg7rrrLvO///0vtHKgQ2666Sbz2muvWflIJa/Ux6WXXmqvC9NGwlnZv39/8/fff6cdc4444ggrr3vuuafZ1m0knpdnfeSRR6ysphpz0LE4eO+55x5To0aN0MqCgxAbadKkSWltpL333tvaSEcffXSottEtt9xiF/CYB6dy5THO4IC/7bbbsrILMu3324QDEWO3VatWvu8lB6IQhStvIgwSnWSpYDKHgypMZwgOIVa0C1NbfD8Rd2E6NHEEMaEsatECA3nHHXcMZTWKAbR79+520lIU3gSTVdX99tvPhGWMIiepBlQP6qFOnTqmZs2aJiyoFxaVijrREL3PZCFMQxDDCyOwMHnF+Nl5551DcxDx/ccff7xtm0RDNF374BjCKHHtiKAOMGQefPDBjOQVffL222+bZs2amTDAGPYipzwSjWMmvsCqdpgr29TL3LlzrWFcWDlYjEBew5pcUtdENiQ7mJPxdNnDDz9sHSJhgA6hbRKdZKnqBEMXXR+W84FJy5133pmRvNJfiKoKYosWBmMNY07iIkQqmDyFFf2H/rj44ovtJDuTOqHfMOaEtRCAYxldn6jXkuUEecWJGdakkn578skn2wllYf0GkFOcIZQL28A1LCayAARFjTmMe0SjH3fccc7LMWvWLHPCCSdYW62oMQdOOukkGzHjeiymDnr06GEjhTKRVyJE33vvvdAiNFPZSKn0GvIato3EmMPiamHlCNtGws644oorbDsVJa/0YxzBp59+uvNysJiJvP7xxx8Z2Ujs7CHqy3WAAHXAQsSgQYMyklccRETksSsgDHBwM+YUZSPxO3Z9GDDeYWcQPVyUu8rbUcMiShjBEjwv0cqZ2kiDBw+214cxD2aBbsaMGUXKK32HiEii4jOdE+fkFGYmJuecc44dmBHkgw46yIZzJg7uV155pZ0coYhYuX7ssce2MIquuuoqqyyZMLAKgmJLZuTIkbYSuA/Xnn322UGKLoTIAJQkW2KLch4C13BtUUZ0EKU5f/78IgcRFCqDHvonDBhMec5MIp5Z1Uylz1zAxDYT56FXJzizGPwxlsIwjDG+CnMeAm3HpAIDJAy4P21flPPQcyDRjplMcPzgtX1R8kp/YVKR6EByBRME2jwT5yFQ1o8//thGIrpeW8RxmInzECgr/ZeJ+e+//27CMIyR10TDOB1ErSCzYUAdZ9r2lBl5LaqP+eHLL7+0hm66yItEvMkedht2mWsoA8+Z6DxMB/2cdgxjHRyHRibOQ6/MtA9bhoikcQ1jjZeaIpNxEts8DHBOEZGZaZ3Qd9A/bKlyDfoBXV+UXkM2sBv8pjgqDPRH586d7Zb/TOweriFVEikjMmnLbKBdiPgryhnjlYOyd+nSxYwfP95pOahn5nGZOg+9ifl1111nXEMUUCbOQ6Cs6GHkNQybLVMbCag7b9tqWDZSovMwHzbShx9+aLcoJ26fTgfXeIsXRCy6hDEEB3YmzkOgrERoXnLJJc7HnSFDhmTkPATKypyL1DNEG7vGszcysZGw59GxrvHsDNIfZFLX1AljH32Y+Y5LiLbM1kbq3r27XZBw3S6nnXZaRs5DoKzoeJywrvtxySCTo8MOO8yuhuMZ/umnn+w2OqJcPAhLp+EJx+Vh+T/C4HmtgQrGgz5ixAjz1VdfWaOgffv2BR4UzykDHY33ww8/2IYMYxVCCLGlIZO4FbUouDaMyTaGTDYDFMo7OTLBFdw3k0HVA6PU9eSFFf6BAwdm9RnqgnKwdSkMJ0g2jmNSMGTilM6WbO/LxDwMhyqTw2zvi+GTjVxlAiv25BjMph/QjkxGGY9dwWSIbaDZQDmwB7L9XKbymk2d4ADJZMKVLdw3E2d3oly5ntxSH9hmmTgeksF+c+3QpN9kk46GibnrlC60NdvUspVXyp3t5zKhqMjuZLyUCS6ZNm2a1SfZyAh9jHE700lxNvdlHM6mLJTDdYoi5i4437PRJVzL1upMojgzBbkj0i6bnQ5eDunrr7/euITIZMaybOqEspBfFEesK3CSkRstGygz/Ybtsi7x7NFsbCTGzDAWwblvvm0k6pmxI1s8p4xLx91TTz1lfvnll6xtJPr+2LFjndoCt99+e1afoRy0JVGLrsnWRvLSBbkExxfp5bLpN94CZHKwmgsbKRNndzLIq0u7nshXot2zHXMIDGA3QCQciOwzZ+sISp/w2Xr16tmw3sTEngySXbt2NW3atLF/Z/XgwAMPNN9//318Ys3qEI7Htm3b2oNBcDayQsfDAgPcNddcY7eSkHuA/f4krGbFQIgogFySPzMV5ERiayIvnOvILyH7ro37MPCi1rKFz7h23JF/I1flLwwmIJlExrgof2Ggd/1s26NOGJBdRrtRx36cCK6dql4urGzB6HHtuKO9szU0/Ja/sLZmwu8nIpgtS08++aTTvId+jH6egRVcl4sSOOz8RP+4llfqw49eYFLpN99zKsi7xQQqWzmh/DjuWCR2Bf3QzySEfuMy8p0F7WwWzhLllfyMOO1d4be9XcsrtrqfrYzUCQcBuHTe+bUxXNfJ448/7msc5jN81mX6AerEz5hDCihXjjvkFDnx0zbIFs4clxHEfm0kDsJxORbTNn5sjKiMOa5tJA4HKSq1S2E7or744gsn5aCt6YdRsZH8lINnYCeASycv7R0FGwn71c+YQz2iS1zJLIfH/fzzz75spMWLF9sgO5c57/3A9m7qMxIORE5fIzcRkYDkOcH5l9yZSCzNdZ6iIPQYQ5VktcB2Zxo4MdEk+cJwumDUAp5WPs9AwHeQ24WcHUQ0CrE1wKlZhJgTpYtSI4KWrSZRB6PHz4DmJYl2hbe1xA+uHXd+74dh7Wo1mXvhQPTrpMUwwImY7zrBkePSKEVG/NQJY5PLyUIQRyCfc7W6zinHfh1vOIRx3LmI7AriyATqAweEK/wauaz0u3TcBZmUudRr2G1+c1xhlLp0hPiVf5eLRXx/kGeiTnBeuMJvW+MA9bPYlU5Xk6/Mb7Qpsv7mm286KUuQOqEcrhY3icjk5Fi/NpJLxx361W8eUJeOEHaX+bXVkC0cdy76MXqaPui3rdHLRPrkW16xGV3aSH4d765tJOTNb6505NWVI4RAJb+ON+QVx52LrbvogyA2EmSazihMeXVpIxGRyZjhd8zBcUcuxG3JRho/frx1ZPq1kYiWd7ndvWSQLXSEiJIcmVwGRGFxmhZedA9Oatt3331tDkRO6eEk0EcffdQ6FoHJDe8nJxMmGac38eF7gBBdTpwhBJPrcSK6dg4IEQYkLkWmcY6TYJ1oRbbiJ05o2Z7PyU1cd+ihh26xvYUVZt7HWU9SY3LMeNsQGHTYlsrnyQ9KagFW+IISxOHlcusFkyC/AyuDmUsDLMhzudqyywpskK0CTDQSc9UGgUHJb2QJg6DLbcxRkVcm7kEmLq4MMCa3QZKf8wxMcoOCEzJIBCF939u14IIgThWXchJE9l2Wg1MF/RrpyIjLtomCfkU+MLL9OvKpEyIWXBHkuVzVCQv2fiIyPdBDruQkiI70tvy5IOgYynZjF+MwcpppDsZU0PfRAS6gjYMc8sTipovgELYvB9ll4aptgHYJYiNFZczJJtVGJo4QvzYS8upKvyKvQWwkbyEgKDi7gkQQuraRomCb/Pjjj4EWe9BDrvpwVGykCRMmBD4wzlWdQMkgAtukSRMzYMAAGxlIQtGLLrqowL5zHIhUPFGIFJqtyiRN9bYnF6Y0vVwe3qBIFBdHdDdt2tRG3/B3nCpCbE0wSLDlK/FkUYxh+hAnONJfzjvvPLvdH2UBTL45HZMDi3iPVRVOYPImODjlSb5LwmjSBpBKgCTdQbdRBVHeLrcwB72Xy7IEWSF0VY6g248ph6tcJUG3DW5rbePiXq7KgsEf9PRvF5MGF/dwFf3gJ4dN8uddEeReLssR1ODH4eYqajYKfdiFvLqMwN8W6gT5iMqY46rv8Dx+o6iAz7qoExy7QfOQunIO8TxBdYGL9CpB6xUZcSWvQfugS10fpCwuyxHUie9SXoPaSC7kxMU9tjUbKUpjTlAbac2aNU7qhecJ4kBE1l3mqfRdErYSE12YCKcsk3jTq7DevXvbRP84Ow444AB7IvMZZ5wRT2zLUfWsOCULPklevSPB+R5I/K5y5crZnIphnW4qhEtIjIscEz1IlCCdGMe7B5GJRO/SR+rXr2+jeXECeg5yHIgYiEQdEn243377WWe9dyQ7SatJ1MrJTEQE33HHHWb//fe3jsUgBFFUQVdJXN4rKmVxVQ5Oqw8C5ahYsaKTsqhtolsnLto4qKxBhQoVAt+jSpUqxgVBJwvbmi5x0T7YY0Hr1SPIfVzViQt59cbmbaVOguoSnsGFLvHuFQSXdRJ0EcCFjnbR/1zZA9wnaFlcyEnQ50FGXMlrVOyBoPdyWY7y5cvnXUeDizaOgry6tJGiIq9B2xg95EqvBZXXsmXLOqkXnieIc5fPutJr4PuJ2CY5c+bMAu+R3xAHh7fNgFdypbHq5g26RBMSZpq43ZJ8AuQWadmyZfwaBsjE7+K+OCo5xEWIqINzkBNNyevpHelO7lBvNZCfHBLUokUL239wNn766adxBznOQA4i4u8cxU6uC8/pzmoCfYbtzYnwf/pjvhS4qwE+qPJme0KQLTUuyxJ0EPJA7wV5JgZWHM0uQJ8zOEZBTqIir0EmdIyXfN4FtHHQ7ft77LFH4HKwGBjEkEPGOHzKBbRLkPp11YeD3stlOTiUzm8kFfXpQkai1Ic58KxGjRqBxhwW07clOWnQoEGgCRA2v6sxh7EvyLZDV3XC8wSN1HFRJ7QLARV+xxz6PgvbLuB5gkRD8gzIWlC8tFlByuFKr20rNpLLMYe69atP+Jwre4ByBLWRXPThWrVqBVp0Qh+6qpOojDlB+x96yNWYg34MYiPtnnC4cBBo46ARzS7tNd8WAUdas92SSCq2SpJwliSgnDDrGWGtW7c2N9xwgz2VjrxdOD7IkXjyySfba6pWrWq6detmrrvuOvPJJ5/YPB5s08RhwqnM3n2IyCKKi6TwOBIvu+wy+zedxCy2BpiMoEDouPQJ8hWSw8M7SYwIwkceecSeNk6OT5yNRCB6p2ChuEhO/cYbb9jJHglZcaz/8ccf8e9INh4T0wD4JTk3aa4+mwzGl9/VNcrhKjrGu5/fAR595wLuc8opp/ieRDFx6dKli8l3neBUcmmUcsq537auXr26s3LQLoxbfp/B1Qou46xfxx06h0UIFwYYDjvkza+8YjCR1sEVftua53C5ektb+zVKXcorNphfo5Rx5sILL3RWFr/PRb93NeZwL+rEbz9k4kJO43zXCeOmXz2UahGAHOZ+5ZW6JPezC4K0NZP0IM6cRMjlvuuuu/oec9h5wsKwC9iR4hf6PilyXMAOM7+Lm8gW876ddtopcDmQexbpg9hILNbnuw/j8HNpIwWxh4MsqqSSV7/Ru3zO1ZiDD8Gv4w6ddvDBB9s5WVDQScibX/3KmLOt2UgsJPzvf//zXSf0G9LeuQD9GMRxd6EjeeXAYZzNQQJHDjnkEOMK3zMVOs5bb71lT/Pk1OQ777zTDB482Jx99tnxa0aMGGGv4z22IOM46d+/v3UIegwaNMh24k6dOtmoRiY8RGklCg3RWeR0YxLC/UiQ6x2mIsTWhifbXlJyIhNPOOEEK+M4z9nG/Pvvv2/R+ZnQkwsUByMDDn0AQ4mIRXIfJoKDMuiKlF/HHZ9xZaQHHdBc6wjq28+zuXZkYoD5WelH9o455hin0dt+n82lEySIk9a1IzOIse2yTjDkGDP9GGAYS+Q1dgUGlB95xUgn8tplRBfy6qdOXMsrz+ZHXl07Mtu3b+9bXuk72G6uoB/6cXqjl4NEpSXj1wGIHkRWXRrpyIifZ3M99pGX2c8kir7GghcHvLmCvpjvMYf+mziXyfaz6NcgORQT6dy5s2/HHQ47L2AjKNQvjju/Yw4ylu8xh7K3a9cuvptuW7KReDY/Y45rRyaOHb+OOxbeOnbs6KQcjDV+HXc4Ml3aSH4X8tAljDf4YfK9uOlaXqlfv2MOOtHVAtrxxx/v23FXvnx5u7DiAuwA9JqfxU0WexmvXM5DSwY1PKdOnWodIZyclbwKRo5DDjz5+++/bU5Ejp/u0aNHgQegconA4iRaknHjPEye3DIwkjeR0xzZssmWZ5cTCiGCglxyalTi66+//oonYPVOIuU0pltvvdVO2LxJBistn332mXX6EWFLJCJ5QD04OAX5nzRpkr0nhxJxxL3nIGSLNM57IhQ5PZJoXfqlF6kbBJyT2UxeuNbLW+oSnJIMatmA/nHtyPQM7myUMDrO7+CTDhZSWI3KZpCnzAw8vXr1cloWP23OwJ5te4bR5tSfi4iHVIZptk4ZcqS6dmSSdxhnUzYGB3XCQga5i13BKj2OJj+Gzy233GJcQhmI/skGJjuujWMvsiubLdWUne15LsG+uu2223x9tmfPnk7z/QH9MRu9Rvnp967LgKHux9ju06ePUyOde2U75jDhd+mwA6LlWOTPdsyhfdhl5BI/bc5442pC6cECTbbyyrWUvWvXrs7KgW7CbvQD8urKkentTkOnZTvmNG/e3JkjE9ilc9xxx2VVjrBsJJ4v2zEHWQ0jSCYKNhL20U033eTrs9gDrtK8ALsmmV9k24fJRe/KkQlEhxGlvbXaSNiZrm0kHHcHHXRQVm1D2Rn/rrrqKqfjDfNqP1x//fVOxx3sEsb2bOqEORppLlztAvBwlxVViGLMl19+abe0JL6ItgV+Mjjg8GMSzeDJlmTPwcAk7MADD7RbDlGYOBKISPRA+Xz99df2kBROPifal3viQAIchTgKiE4kSpFTzon+dZHrAEMDxZPJ6jbXcG0YTjvAiMnU6cTE3PUEKnGgZOtSJgM9Axl14jIBtWfokhICucnk3lzDiwUdZMg1GA44ETOZ5CLPYeWv9QbKTAzMbK71A/WRqRMRBzP93jVEUbz++uv2GTMxOLzJwptvvum8H3NSPA6ITOQVOeJFage2sbiGKIxMnTI4yIJsVSyqvjOVQa6lPV3mxEqMuGNxN9vP4CxwjXdIXiYLV8goEfsu89x6sGOGbbvZtPs999xjnRauYYKLzsyk72BfBMmJlw6+m1RF2DGZ6BKupw1ffPHFUBb80a2ZOhGxG8JYKEKPYMtx/0zklXpj/OMzrifb2H/ZRrrgeHAVHeOBfLAzjfrIRF6pE1L8YLO6dGTCM888Y+2dbGykp59+2jRr1sy4Bmfg1mgjMea4XtgE5izZRpziFAqyXT8V1PNrr72WlY2Ecw0bybXt+NBDD1l7JxMZ8WwkArBcpUJI1m0sVmZqIyEnrscc5I/AGOyvTNsGm4D2dJFLNREiVXEGhv2ZTOYKHLBKnWdaJ4w1jDmuF3tLxIJkAc4jiUd8T5kyxbRq1cr3vTDIGfDwzhIpGXUoLxFtQuQKwsj/+ecfe3iLl5vRA4WNcYSScm0Apov2pCxEdibC4OUlwHd1+lZhUA9enSSH2WNYUA7XW5eT+ffff+0KKukkMH6Ty0F78B7OqSeffNIcccQRJkzQn0ST00bJOW68FUpXuSALg2emXXitW7euwN9wNnjy6nLbYzqQU+qEn4nDLXKBYwA5cbklNRVERBMtQy5iTyYSoR7Y7sU4OmzYMKf5jhKhLYhGGj58eKHySvtwinziQkoYsHuCPrx8+XIrr0QULF682Bpp7HTw5DXMPgx8N7JKWaijxHKMHDkyLq9hOMoSeeyxx2xEkpdeI1legTKQ25qFrzDrBXn09CuJ7hPr5IMPPrD14Xc7ejZlwDFDfm/qIlmnIcO8Rz8mHY/L7dypQDY8eU3uO9iF1EmQXLCZgG5nEk8bpNIl3ntMslnkSj7gzTXsXKJOVqxYYdsoUU7IrU6duI48TIZDHUnV9MMPP8R1aSLee0R2v/DCC9bpHQbIYr9+/eyOFH5PllfkgjrCPrrrrruc5upMZvz48TYvG4cBFjbmsBD+1FNPhbIjwZMPnFU4Igobc5AX+jn5x8O2kTx5TR5zWPzPpY2EHkk15owaNSonNhKyOHDgQCuL3mEmqcYc7Gl2btGOYek2Dm/lDIZZs2al7MOenODgQ6+53lWUOK/ARuK8iFTy6o05tA+Lsi53imRrI3EuBbZi2DYS9jN5CNmpV9iYg6MR27Jx48ahlYUzCNixsTaFjZQcdU8kc1j1wm5D5JXdv4WNOURiM+Zks4CWaeqybcKByLZOVpmSJ4qZIgeiENk5rbzBHkUZtvOjsIEWY4xBjQEEozgXDqFkUKE4h1DW3imvYUQJFQZGD9GFOH8Y6IGyEPFF3guiYsJ2PiTCYI6c8BODhxXssCL9spFX5AN5DdshlArKwGQGeaVOkNdctgnfy4FmTJI+/PDDuBFGXWCckYPHZR6dwmDMRl55YRwmbs1HXjt06JBTeaFu6MNEnpBqgkgR0knkA2SEbTuUgwgrypFLecVBRDQQhjJGqgcRBuQkIrdQGNu5C9Ov9GFsPK9OfvnlF5NL+F50K46OxMVbIsCRV3L85VLnI6/UST7HHNqAaC0mJ4n2+JFHHmnlJNsUG0GhLug7+erDyCnpZlioY0EvcaGVvIBEW5G2Jhd9mRQ3TKTR9aSQ8iASFHmlPK6jUVLBGMNCDOX49NNP4w5N6oD6YDuei0MoMoHFM8YbnD+ejQQtW7a0dcJiVT5spCiMOZQDp0u+xhwWibyDWGknDyJT0SUE9+TCqYp8jh071o59yTYSznDklUWAXIDj3bOR6M8eyAvyiiOvuNlIP/30kx2DCfhCZj3I644+wfnverdXKhjvXnnlFTN06NACtgjj3R133GFtpLAW4ZPHHM5QoN+Q/i/RiciCFvKKAzFbipUD0ZuQJE5EsoEqQIGFHS3kCsobpoddCLH1glOVxZRs87qI4gPG4N577533iQswgZw/f37eywHUybx582z0FDmbi3s5cHpja7k8vXZrrxN0K44q9Gs+FqyiaI/Sh6OgS6IiJ1Gqk6joV4050ZXXKJUDxzuOqnyPOZLX6MpJlPTrhg0bbD5MyrKt1EmmDsRtxvohj4HfnBF4bb/44gu7srA1GIR+ThYTQhQPiETJdTSK2Lrw8j1BvhfNvO/PdznElhCRk8tow60Boj7yFU0dRbyDJ7zfRbTqJCr6VWOOyASchlEYcySv0SVK+rVMmTI5iXqMYp3k/6mFEEIIIYQQQgghhBCRRQ5EIYQQQgghhBBCCCFEWqK/XzfgHu1M8BLsk3Mhl0l0g5R3ayinEEKIaJK4tc3leLq1liNKZYlKOaKE6iS6RKltolIWlUN1IjnZulEfVp1ITtKjCEQhhBBCCCGEEEIIIURa5EAUQgghhBBCCCGEEEKkRQ5EIYQQQgghhBBCCCFEWuRAFEIIIYQQQgghhBBCpEUORCGEEEIIIYQQQgghRFrkQBRCCCGEEEIIIYQQQqRFDkQhhBBCCCGEEEIIIURa5EAUQgghhBBCCCGEEEKkpXT6PwkhhCiKdevWmcmTJ5tly5aZMmXKmJ133tnsvffeqjhRgIULF5qff/7ZrF692lSpUsXsu+++pmbNmsW6lmbPnm37D/Dz33//NZUqVTLFlVgsZn766Sezdu1a+//169ebDRs2WL0iRBSZOXNmAXmlH5crVy7n5Vi+fLmZOnVqvCybNm0yxZ158+YV0K///POPqV69uinO/Pbbb3EZoU7WrFljKlSoYIrzmJPYb+jD9J1SpUqZ4srGjRutTe/VCWMw9VSiRImcl+WPP/4o0IexHytXrpzzcvz3339mypQp8Tqhjoo7S5cuNdOnT8/7mMP3JrZNruR1q3Yg/vnnn2bJkiWB77N582b784cffjAlS0Y/KJPyNmvWLN/FEMUQjAsMdRQUMLGtVq1azie4KMcVK1ZY44/+QL9lUMUxkyvmzJljnnjiCTN06FBrmCfSuHFjc/XVV5szzjgjZ8Ypgwhtg5FB/WAAbrfddqZixYom12DkrFq1yrYNgxh1ULVq1ZzrV+SUOkFuATndfvvtTdmyZXPy/bTD559/bh555BHz9ttvFzAwSpcubU4//XRzxRVXmJYtW+bMOEU+qBOvLPzEGKQ8uWqTd9991zz88MNm7Nix8fcZy+vUqWMuuOACc9lll5l99tnH5Aocl8irVyfIradXctVfXnrpJfPQQw9Zg9Rj8eLFdkGC+rjooovMTjvtZHLFypUrbb149YAeQZ/kehLljTmJ8poPpyp9mXJgpHt1wniTj8kc4x7jH3VBe+CwQ6/latLP97/66qtWXidNmlRAXuvWrWsuvfRSc8kll5jddtst9LJMnDjR6lf6jzfRhgULFpj27dubK6+80hx99NE568vIJouJifKKDOdqzEE2P/74YzNkyBDz/vvvW7n19Ctt07lzZ3P55Zebgw8+2OQK+ownr8DPXDqpqP833njDjjnffvtt/H3qZIcddjAXXnihldmGDRuaXIHO55WvMQf9Pnz4cNuHf/nllwJ9eNddd7V2Sbdu3eyYnAuQU8qEo8qrBxYT0bG5GnPmz59vnnzySfPoo4/aBV+PRYsWmUaNGpmrrrrKnH322aHPM7DHPBsJ+zGdjcQidC4WiB577DHz9NNPW3n1oH5atWpl6+Skk07K2XhM3STbA+iX8uXL50xOx40bZ8ecV155pYAjlTHnlFNOsWPOEUccEbrc0lefeeYZq+vnzp1bQF733HNP2zbnnnuutQ3CoETMG122QufhXnvtFfe4BoHJ7csvv2zOOussaxhFHcqLkhUiVyBvKCUG+FQwsaxdu3bozioMC8qBwy7VChhGOlFdYUd2YWCgnBkgUq06YfxQ1h133NF89NFHZr/99gt1wsJgzqDqLYYk64tatWqFNogkr8hh5CRO5DyYLBD9gJyEPXFgXKBOkNdUQxwGIOUIM9oNY6tTp07mgw8+sM65VPLqvX/qqaeaF154IVQjiPLQdzwjsF27dvb/1AMTThy8GKdhRg9h5BxzzDE2yg4ZSNV3vDrp3bu36devX6hGGBN9jDDPjkisk08//dT2GeokTOcqDpDjjjsuvhiaSl7RJ7yeeuop07Vr19DKwndTDvqx53RPhEmC14fDNo5xXtIWOHZTyStjDm0T9sQBGfXGnFTySn9hvKlRo4YJG5wwlCWVnYp8ePIa5mSOvotD7u+//46Pc8nQt5GlBx980E6mwhr3mEQzsS1Kvx522GF2Qh5m9B1twpiDvPLsifI6ZsyYnNhI2ABM5lmYKapO0CMsgIbp2GT8Rb/Sl1P1YU9ewyzDrFmzrLz+/vvvaccc3keOGW9uuummUHUbegQdm27MYUGeOgnTRvr666+tcx19UtiYg6xgl7DQGRZ8t6dfvcCERNBl6FZs2DDbhQWI8847z8pHKp3mfTc6ZNSoUeaQQw4JpRzo1WOPPdZMmzatSBupV69epn///qE4nWmXvn372lc6XeKVjx1XH374oXU8hwVzCvQrMptKv2LL83uYzl3KgIyMGDGiSP1K+Vi0CKs877zzjjnzzDOtnVaYvPL9XNumTRvnZYh+uF0aEhWwECI8UNgYX+mch8DfuMYzSMIApcx3MGikC59HmbJth+jAsNZGHnjgAbs6i9JOF7LuKXQGvBYtWhSIKnIJOpAtORhfqQYRb2LDggurY2FBXf/111/W+EnlPATqiskEbZjKUHQFEzjqxDM00l3DxAIHUhhQ5xgQOI8hnbx677/11lvmhBNOSOm0cQEOIZ43cQU5VXQV9eZN9lxDvzz00EPj0Q7p+o5XJwMGDLBO+rD6MbKKzKazIygf9UadhNUu33//vfnf//5n+y/Pme5Z6dvUC8br448/HkpZ+A62SxGFke55vcUKZCnM7Tr0S77Dcx6mi0CnbdJd4wKeF32F3kr3vOg7T5bCXI9HfzOupVvkpv2Qo8QtmmE4DxnPvLEk3ZjjTcLpv/fdd5/zcnB/Jk9EX2SiX4kYoZ+FZZ9g/1Dv6RascmEj0Q+ICPrqq68yqpPnn3/eOobC6sf0GfRJuvGEeqKfU29hBUSQIqN58+a230C6Z+V9ynPzzTebW265xYQFOoJFtMLGHOa21ElYNtKXX35pjjzyyLisFjbmUAZ20eBcCwO+Az3PmJLueXkffUNbptM3QUGPEFnId6X7Dq+usJNat25tvvvuO+flYOzFRiLVTSY20t13320XaMIYd66//nrrPEz8vmS88iGv9LPEKDiXoB/4Duo+3bOiZ5ARF7tSU4FsdOzY0UbeZ6JfP/30U9vPwtBtr7/+ujn55JOt7VGUvGLzMxf55JNP8u9ArFevnvVsJr+YUMObb75pIwxYkeV99mUngoGDUUH0ICtxeKzZ6pc8qDKwdOnSxUZF8OJ3hEcIkTtQyjifMhmguIZrw3BAcG+M0UwjhNEnYQxmrJozsGYKAywDCDrRdXQzAxoDZqaGJo5XjPowwPDJ1BmH8RyWMUgdM1nI5N7IFDJSmGPcLxh148ePz3hyRnnZqtKzZ0/nZWHcxMGRCZSXfubaAUFdn3jiiXaikE3uHLaJPPvss8Y1lAPnYCbgTAvDYYaOIvLQyzmVKURdJW7DcwW6O1NnHDo+rEUaykC/zOTe9BvKEYaRzr3RU5n2BfQfTvIwQG+jv8MYFzKFemAco+2zkVd0mreQ4oq77rrLLrpkKn+Ul614zCNck01f8GykdAs5QWBbIw7eTNuGsrz33ntxJ4FLmOdhE2QC4wFjjutFGurh+OOPt+NfNmMOC1evvfaacQ26IVMbCccAfdj1mIMOIfKQ+sjURuJFtOqPP/4Yik2f6XyBPkPfCWMRj/QgmeKl0EC2XC5AUx84qHCWZiOvbC9mZ4JL2No+cODAjK+nvDjuWAR3bddn2xey6WfZwMIC41imz7dp0yab3oNUHi6ZMWOGTUMBmdpIvJCtTOcBoTkQJ0yYYAcG70XoKHghzigDtgvgGU/XuLzuv/9+m7j1ueeeM6NHj7a5FhKhgnA+8jde/B7G4C+iCZEWnnOaEPYGDRpYx00Q5xSylsr5nbwFChlHhr2Q6NNOOy2lQk/nTPdkn8Ex8X22aeyxxx52m8TWkjmAvppNWbk2jEkUA0K2k0Q+49ppd88992S9tYSBBMXt2ihlUpntJBHHiWujlAE+21U/JqPJeSNdwJiUjQGDvGY60cmmDMOGDcvakOJ6ostcLpT5eT7kIzH/jwu++OILa0xlm3gbvYmzwKW+pM9k6ozxYHLremUbIx0nZrb9Ef1DFLRLmJxl60j385kwxhz6TRjR1einbB3ptGe6CGy/+OmPyLjrxSKiHnDs+pHXdPMBP9AmzB+y1QmUG4dZYr43F6Bfs7WRXI85LHCwXS7btqEsgwcPduqA9/N8jAuuxxy2mRLJle2Yw3ZQnIgu8TN+hGEjeXns/Dh5Bg0a5HyhKFtHOuON64hzxtJstwDTz5hfMKd0BZHDzD392kiuHHf0X+Q/2+3ilBsnM5F3LvEzZ8lWJ2cid+SjzPaemzdvttG7LoNZvHJkayOhT0hZkVcHInkISDrrvUjSu/vuu9uQXsDJd9ttt5m2bdum/DyJSBnoiEbgc4R4soefgd3rOHhYcRriVWe7BC8Sm/JdrCKK4gF5IFAEGEc43cg7lyr6KxsnCnloEh3gvLztDR6E7JM3gJWpzz77zCZDTccdd9yxxf2IsE2OWuP9X3/91a72Iu/e1psog1HpxwHHZ1xHhGQaLZSMy0k/7Udb+nHAYaCQrNoVDAh+Vtn8fi6MtvH7uXR4J9Tl6nPpYNzya7xQFpyPLg0fP5FIfj9XWCShnzyC1CNbV9DDrvC2C+fqc6ngPn71AXYS0VcuF2qi0ofph34ccH4/tzXUCfraz+TQ7+fSgbz6ybXFeEn/dWW7sxDndxswOohDz1zh19ZxbSPxTH7zoOGQIaeXKxIPOMjF59LBwQJ+8gjSZwhYwZmzLekS6pY68aMTGHNwhLh0aEahTnBOsTDi90RhnDmudGwQG4kIPVdbVHFk4nj3Y+tQfmTMFbSLH13v93PpIA+o3105JUqUsP4rF2CX47T2I6/0f3woLu36kkFXVahYQueDJDeloXHseJ2H7TlsW2ZPvQd5AXjvm2++CVJksRVBcnKc1LvssouNSCVHBSeZ9unTxxx00EHWCUdkItd5W0MI0+VUROSJAwySVzWR00QHOK/kU8YwxDhJiVNAOfyC7fnpFDuOxuT7JR/MQAJg3udEQp6BE1cTTy7EUCFHAdv+kXGc8Yl/B56Z7f48KwdzsO0/caLASUskXyYtANvicHYFJYix4NLQQHH7jSREt7ga4F988UXfia0pA4cluIp+SDzRMJ8GmJfHyA9M+F1ud4+KvKKXgsicy8UFv88VpF1TOXdIbeLXSKfPka8r33WC4eUq+gH9jo4O4pDk4DcX0C5+IwlpW5dbD6PSh9FLfh2S9BuX0Q9+n4vxwdUkCic+dopfvUYfZq7gAiZQfp1lyHoU9GvQzyZDmge/9gB16TJNRBTGHCLM2W7ot06w96Mw5qBbXS1usgsgyKIT4x/ONhcEGUv5nF9bIhny2fnVaZ7jzkUuRBYTCKzy+1wu5ZWdEX4PjaP8BIO52kUTZCx1rV/9smnTJmdjDv6PILvqCKghCCYSDkQeBkFhu6lfmMzeeeedBfaJsx2FraPJ8F6YBwGIaMNpsp73HIMW5Y/S9fJscvocSoMT6NhaT8JqogmzBSckEY9sQXYNUY1MHhOd4wyI5BghuTHJvhs2bGjza3gDLIM22wfY3sikk363//77xz9P/+O+nDKI8x2Fy+eDrjQEmRi6nFQGiSzxEkG7gG3IQU+Bc5WDIiptw+AYJGrAZVmC3Mtl9FKQMYq+6zJPSRTqhMlcEBnhs662gFC/QfSBK3kN+jw4ZFxFIFIfQRxeUenDUSlHUJ0YxToJqpMYN13JKwvFQRZocKq6yvEahbbx8o/5hbrkcA9XRKFOgm4Rp/+6kteo2EhB+zBOJVd1EsS2YKxyOQ4HPe3aRZ2QbiKIU5TPuurD1EmQsqBPXKUjCCInLu2BTHMyFzYncLGoSB/269z1cLlzpXTQfApEOxER5QdWvUm6ue+++5rbb7+9wN9STdRpgDCPcRfRhQMJCKE/6qij4sqBlRK21AMOQ/IvsCJExCLwdyIIWTk/+OCD48YjEYqJEBHoJflm+yAr3DfccIONBPzggw+sfAJ5d/g7uTs9brzxxi1ObWOrfeKR6dyfVV7KzGTt4osvthGDHmzjTwRHIdGEOEJJeIzBTAQjaQHIB0kk4iGHHGKvxaGI4/Drr7+23+NFylEHOBq93KR+CKLwXEZgBL2Xq7IEnWi7HNSikkMzKm0T9F4uyxF0ddzlFoMoyImL53HlzIyKvLqok6jokm2xD6tO3Mqry0m/i77DPZJzX2+t8urCWR2VMScq+pVyaMzZEtcH3WztcuKqTqJkI7l4nijYJq7zZgdh0/9/yntQ/xXlCHIPPuuyD/t2IJI3jlBItib5gegqctzhzCGfD44RD5wlqTzYeOmTt5uKbRccccgHE3LvCHVyTrCPn+3AnvPQy5uJ08xzHgKOv+23397+zXMgsuU4eXswkY3eykmvXr1sROzll19u79+qVStbDrbQT5s2zRx++OEFPoujMTkCd6eddirw/1deecVuh+YZcD6y/RgHoZdYnAgd8oaSfNZLGEtIu3fiGE5AEl2zXZs+Q3QhOURZieDZ+JkY0ciWaU45529BCLLSEXSVxOW9XJWlevXqgQcA2sYFQZ4p6Iqry3u5LEtU5JU0BEG2iaMbXMFz+TUYXLUN/SYI9LlEXR8EFnJ4BdmKGYU6wRgNeg9Xsh+VPhyVcoRRFr8TmCj1YVfySqqX5LzV2dZn8iJykHv5xVXbkNYGZ2iQqEpXbeM9V5CtmC4I+jyUw5WtRn0g/34dGlGpE+YlruQkqOy7rJOgKY5c1ElQmw/5SrVr069+DWIjRWWe49Kmp42D2PRVqlTxnXYjuRxBAhRc2o1QMsiecASWCEI/kYdHH320PZWW6KnklUAOTSFSjKgzD/IM8J4XZSW2fTi8hO3JJN/GOMJZ7SnJ5DyD6bz7ye/TiTkJOfHlOfxw5BFq3LhxY/t/TgYnupDIP5JMs5X4/PPP30LZJt/Pc0h64NTkfZyI5GXs3r27PfnLM/hwQJIfDychOT55ZhSwN/Hn89QBSXa5N85NHJuFRcS5WO3AEZKPzyZDW/sdDIJ8Nhmct0GUN7Jy4IEHOilLVNqG/kS+Ub9GJAOrK6JSJ0QN+5U5PtehQ4dtqk48ufdrQKHL2OngCr/PhT71K+vJsCAVxImBHnJVJ9hhyWNWNp8l7+62JK9A2/id5CIjLiYLiffLd52QMiXIBNWlvKJf/dYv+pVx3NVOpiBtw+K2K3gmv2MOcr6tjTn16tWzC+5+29mlvFIGv3YOcu7KRmLOgLPZLziUkDMXMN4wdvgBf0GQ50iENg4SwcvY58InwXyPeWeQccOVvNLGfp2HyDqBO3Xr1t1mdAkQsOPXHihdurQds1xwzDHHBIqspCyFHQqbLb6kFeHCgUjetuRBixx0OEB++ukn+38cH/zfywtF5CHOQ5JUswUaZyJ/4+V1ZBwtCPFFF11kc8Lx4ncagcgqUTzA+YPjjWjDxAjVVKC0iNhLzAOBDOJ0Rp4yXQViYCPZsAfOvp49e5qzzjrLbp/2tg67WKH1HITkPiQqkchCtlwzOCbntKFcGHmchPj555/bXIdEM/Lc3CsxkS8rJRzWkelzF6aA/RilfMal8g4SveBqJQxwJGOY+jFKaXMcv0XJcaZwH7+TF5d1EuR+TKBcTrQxtP0YpbSNy6g/2tmvo5nPXXbZZc7K4jdqFiM9eZHGL3w/+s2vUUo5OEQr3/LqVx+mm3hceOGFvu5Hn8Ghkxh1nq86ca1L0Al+DHX6vSvnrlfHfnWC6zrBAe8H6sPvJD3VeINe86uvSbuC3e8C5gJ+Qb9eeeWVxhXoBD9jumsbiWfyO+agl0mr4wrk38+Yg553sa0ckNOrrroq0LjJQYr57sPoIFc2EvfiEEc/Yw46+bDDDjONGjUy29KY07RpU9OkSRNfdUw9ElDiysEbxEZifkjbuoBzA4KMpTyHqwUa7CQ/i5suI97h0ksv9e1o3rhxoz2I1QWcj8A81I+NhLwSwOQqUhV8aSa2LuOs4fTlZIgoxJPuRSaeeeaZ9v9Dhw61/yfSCmcHzg+cQ3iqvVei84c8bhjJGB28DjjgAJvTTohU0KmQEZQoW5SJXiXPIHkMmzVrFr8O773nsE58obhx3F1zzTWmb9++dqs0+QVx7uGsw7jhdxziieAQT75X8omWOPR4n0Ss5FR88MEH7SqAp6TpB8g2W47pGzxDotIkJyPOdrZQz5o1y17L33GsolDY2o1R/dVXX5kffvjBnHPOOTaqkvfzsXWQz7jOVYrRkK3SpD1dR9slnn6dy4mPq3pG5lwZ6R4YUNkO8tSlX6O6MPwMjsiWS0cm6RIY87KVV65HXwV1/Cff04/B7dLI8OwAZC9beaX8ONpcOTM9ozTb6D+X26iDGqWMVS6NdM9xl60jBIPUpeMd6Id+5NV12yRu5coG9KDLqGpvHMt2QheGvDJ++dGT3gKCKx2LbXPyySf70q8sALZr1864gmfzM47xGZf9lzza2JHZ1okXHYMt6Qr0iJ/oStfySoALtk629Yyc4ix35XwHxpso2Eg4Mvw4mhmngti+qcDBk60zE9lyPeYw5/PjuHO92Ivjzs+iOn0eX4yrcQc5ZUEhW11CP8O2cuXIDGKL+pGtMBx3pUqVsk53dtW6goURP3ajS0emh68RHYcejpg999xzi7+xHZO/Jb/69Olj/87hEqn+zovBPVEAXnjhBeuM4cXvLkP+xbYFyotDQxhcCNWns7OFgfyDiSBLiU5r78X2Zejfv78ZOHCgeeKJJ6xDksgXol45kZnoQxzjidGB5C5MvhcRi4lQFt5HvlHMRBomlosj3jmuHqdDly5d7ECdqDSR+yeffNKuAFKmTz75xLz33nvxiRbRwKykYQiiqOhLo0aNchLthlGXzYDNtWFM5ngWjNxMB1cGj/r16zt3ZLLSj7Ge7UBC3s6dd97ZaVlwqiTn2yzKMEjMEeoSZDtTg5s2ISLF1TaURBg3sjG6cTC7zqvL8zFeUd+ZygnXURZ0gWvQPdkYl+ge12MthuXLL79sf8+0T9KH0b133HGHcU028kd56Td+t/mmg2fjYK5sQP8RiZ6cSiMo3Bd9mam8cj193qWRnpgDO5uFH8ZB11F/gD5DTjKVV65PtGFdkq38cbChS6e7d8/HHnvM16JIkGiwVLDAi97ORl6RVewul4tFfm0k1ws0yChpdrCTMn0+6o6xMts2zQTskmzkjzHKZQSxV88cepjNlj9khIi0m266yWyLNhLPlnxgaVEgTziFghzImE7+shlzvOtd918CLog2zfa+5LBnx5gr0O9+bCScW/369TMuQUZ4tmzHdw46dZVf1q+Nzvf7Pdi3MJ566imrU7IZc8qXL2/rxOU8lO3U2H/Z3pPzHVynACwRi8IxjT4gygynicuOyzbVNWvWmKhDeTlkQ4hcQQQljtN0K3XeaimTvzBB7olULuzEMQxXJlwuV5CTo06JgODQG0inQhloqK9BgwbZVc6wWL58uZk3b16hK8sMwjgwXSb3T4bvJzJ99erVaa+hTSiHayMj1YFbHEiUTl4ZfHE6MHFx7WT2IAqaVBzIS2Ft40UJchK8qxyZySCjyAgpRjx5JRKHhRMms5xiTzkw1MKIDPV47bXX4tuRC6sT9AkGLHUSlk5hFRddkhgxnlwnTMiZDLue3HrQFgMGDLC5dqn/dCvLnoyySISjwGXewUTQq/ThwuwgjGImt64jmRPxdgow5qSTV2SE3107Y5JBn7F7oLDDiNBnjDmuUlSkAl1GOdD36WDCx+QpzMX2IUOGxCMKi5JXAgZY2A2j//z22292cZY6KSwigzrBEcPuKBb/woLxhnHHG3NSyWvYNtLYsWPtBJP+W9SYw9jHbrKw0kLRbz15LWzMoRwutxsmgxORfObIZFFjDruVWHwPY0EinY2UXCdh20i0Re/eva0DrLAxxztIg90D1GFY9jS54KmTwg4BYs4b1qKzVwbsEg50LezAG6++CIgieCQM2/GNN96wvgjKUJS8ksIKG8lVzsFEkEnsV3a1FRah6TkZn3/+eVvusPB28nnymtxvaAscfNhrYdn006dPt2MOen5TEWMO/Rdd4jL60IPzD9iZQ50XduCNJ6/XXnutXax27XxHSLdKJk6cSA938qpQoULs7bfftj9d3TPMF+UUItds3Lgxtnjx4tgvv/wSmz59un3xO+/xt1yyatWq2OzZs2M//fRTbNq0abEZM2bE/vrrr9h///2Xk+9fv359bPDgwbH69evbPlm6dOn4q1SpUrESJUrEjjvuuNhnn32Wk/Js3rw5tmzZstjvv/8er5Off/45Nm/evNi6detiuWTNmjWxuXPn2jahHJSHtlqxYkVOy7Fp06bYkiVLCsjrzJkzY4sWLYpt2LAhJ2X4448/YpdffrnV2chEsi6vXLlyrHv37rG///47J+XhuRcsWGDroXbt2rYMderUiS1dutTWV67G7k6dOtl+UrJkyViZMmVsv+GnV5477rjD9vFcsHbtWlv/yGtinSxfvtz2q1wwevTo2JFHHmm/m3rx6oQX7+21116xRx99NGd69t9//439+eefBfowspyrNkmUV/prsrzSr3Mlrx7or+QxBz2Hvssl6HP0Ovrdaxv0Pvo/V/L6+eef2/ENnYa8Jus1xsVBgwaFPvZge9x4442x7bff3n6vp0O8V9myZWPnn3++lZ9c20iJ8ooM56rv/vrrr7ELL7wwVr58eds+yfq1atWqsRtuuCG2cOHCnNlKjDnIa2Kd/PPPPzmT12+//TZ20kkn2fEmUb96dbLTTjvF7r777pzZj4k2UmKd5NJGeuedd2KHH374FvarN+Y0atQo9vTTT+dMz65evTo2Z86c+JjDT/7PWJQLeM7HH388tvfee8frJFmvtWnTJjZy5MjQyzJ58uTYmWeeacuAzCaXA5np27dvbOXKlaG3Sf/+/WN169ZNqV/pS6effnpswoQJsVy1EbYqOs7rN/xEv6BncsH8+fNjPXr0iFWpUiVeJ54uQd+idy+99NLYrFmzQi0HunPYsGGxAw88MK28tmjRIvb666+HVoatNgKRFQtWzgpbtcgURSAKIfzAyg+RiKNHj7bRXazSsgLGlg+20AsBRCGyleG6666zB4gRJUsuVFb3XW81zBSiHP7++28rr0SK5BpWk8nnOnv2bBsxQ9TU//73P7tFN4ytsVtDnXD4FXIyf/58G31AZA5Rh6TlCGtVfWsh320jtoS+S77yu+66y+4OIOrizTfftAfOOY92KATmAa+//rqZMGGC3WpGWYi6p3yuc6ZtLfJK5B+pNH7++Wcb8UYUKBF2bEV1nY5ha6kTvpM6mTNnjpUZZIOoVE6wDXN3RpTrhKgqotqJoCVaiSjZk046yRx66KHFcszBJUI+edJEPfLII1aXkAKGHSV77713zm0k5JWIR89uJBoUGynMaPdksEVGjhxpD/AkvRd1gj4hb38Y24W3hn7z33//2ZQYkydPtrtYGPvYNcPcL6wdK+nklXGPcZfUHp68IsOkPAuTrdaB6DkRk0+r9esE8AQxl0ZPkPImHgwihBAi+uTb6IlqWaKC6iS6qG2iS5TaJipliUo5ooTqRHWyNREVeY1KOaJUlqiUI0rkuk7ys8zvCHIi8HKxn5xKJ/9ULr36QcorhBBCCCGEEEIIIUQuiH64nRBCCCGEEEIIIYQQIm/IgSiEEEIIIYQQQgghhEiLHIhCCCGEEEIIIYQQQoi0yIEohBBCCCGEEEIIIYRIixyIQgghhBBCCCGEEEKItMiBKIQQQgghhBBCCCGESIsciEIIIYQQQgghhBBCiLTIgSiEEEIIIYQQQgghhEhLabOVsmrVKmf32rhxo/25evVqU7p09KuE8m4N5RRCCPF/xGKx+E+XY9jWXpaooDqJLmqb6BKltolKWaJSjiihOlGdbE1ERV6jUo4olSUq5YgSruqkSpUqGV2nCEQhhBBCCCGEEEIIIURa5EAUQgghhBBCCCGEEEKkZavdB/vXX3+ZpUuXOg37nDp1qilRooSJOpS3cePG+S6GKMZ4fSZf/eW3334zzz//vJk5c6YN1a5WrZpp0qSJ6dKli6ldu3axrJPkskShHJs3bzYlS+Z/nSrfbTNnzhwzbNiw+Jj1zz//mLvuusuce+65ZqeddspZOdatW2fefvttM3r0aLNkyRL73vLly83YsWNNq1at8lY/+ZSTFStWmJdfftl8/fXX8TrhvR9//NEccMABxVJeo9I2GzZsMCNHjjTvvfdevG2WLVtmPvroI9O2bdu8lUt67f/J6HfffWf7TqJeGz58uDn11FNNxYoVc9Yeixcvtt87ceLEAn34119/NQ0bNsxZOTZt2mQ+/PBDq2MT5fX99983xx57bN5SD+VTXtesWWPefPNNM2bMmAJjzjfffGNatGhRLMcc+slLL71kxo0bV0BeZ8yYYfbZZ5+8lEljzv/ZSO+884754IMPCvThzz77zLRp0yan8opPAr2WqF8fffRR07lzZ7P99tvnrBzI5ogRI8xXX31VQF5/+OEHc+CBB+ZURr/88kvz6quvFqgTxqCTTz7ZlC9f3hRHG2nUqFFb2EiMQ9hIpUqVCu27S8Q8rbGVgaDQ0V1QoUIFK4BnnXWWHeyiDuVduHBhvoshihn0N5Q1A4eXNxSDuGrVqqZ69eqmXLlyoZeBCUv//v3N559/bhUjBjswqHuvjh07mttuu800aNAg9PL8999/tk5WrlxpBxEoW7asdWjyytWEgXpg0KAs69evt+8xoJHLgrapVKmSyRU4dCkHOWW94QXZoBzUSa4GWuqBcjBZ8eQVmfHkNRfGBgbWnXfeaSdPPLcnr15ZqJ/jjz/eyuvee+8dWjkY1+677z7z1FNP2fpI7Dse9evXN9dee63p2rVr6EYy3005aB9vHOc7PXmtXLmyyYXToV+/fnYi5/WZZHOoadOmplevXub/a+9cgK2uqj++MRWtwDHEVwI5puaDsRITX6EZPhKITMXn9FCBNB8JgoXlowbTUXyR5DOlNE0dyFFLSxutQYRKCzSySZ0bgmGOCoqUU/zns+e/z/zu4Tx+v/1b+9xzz/1+Zs5wufd3ztm//Vt77bXXXmvtww8/vCWGIGOYFz8Dz2ngwIG+T5j3WwF9gI6nHei3sBnBeKEdLFxSywf3f/XVV7sf/vCH3iiuJa877LCDO+uss9ykSZOS6xR0e9CvWXlFr9InPKNW8c477/h2oGezc07QrykXDIF7773X65Nly5b5OS7o1wDj98tf/rIfOyn75qWXXvL6dd68eV5OwyvLqFGj3IUXXuj23XffZO1ANn/wgx+42bNnu1dffbWmvG6zzTbujDPO8DKb2i5ALtCvyGxY0yCvOHWDvKYew8z/3//+992PfvQjL6uM0SCvgV122cVNnTrVHX/88a5VNhKvMIZbbSOtWLHCyyvjJ+j4ankdOXKkmzFjhpfb1DDv0R/ISnbOaaWNlJ1z0GvIa5hzmPNoB+1JLa/r1q2r2Ej0Sa0x/JGPfMTbSOi2lO359a9/7TeYFy9evIF+5Xs32WQTN2HCBG83oldSwdwbbCTGDN9dPYYJ3EDPs0GSCuThJz/5iZs1a5b7+9//XnPOQUZOPfVUN23atOSbV7Rn9erVXl570ka65pprvI2ELVtLXglOYL6ZPHlyIRspbw3EXutAtHw4ciAKUR9UxCuvvOKNjEagNFFYqRQnu9innXaab0+1osyCImUBw/X77LNPkrYweREFzWKuHvTD4MGDk0dEshPHoqWRKkfHDR061BseqcDA6OrqarixwyS2/fbbJ909pR9WrlzpJ/dGsIjCCZHK+cAO4Mknn+xlpZm84mBlV5UoQGswhokI+uMf/7iB8Vctr/QdxjGGSap+4bkgr43aQn8MGzbMO0ZSRTCPHTvWt6PRswmL3pkzZ7qvf/3rLhW0g3HcaAyj04YMGZLUQYQxjF4Li8laYLwzblI5eXE8sJn75JNPNuyPwNFHH+1uvvnmZLqNeQ990khOkFf0a8pNNJ4J+rXRJjdjmAXlVlttlaQNPI+LLrrI64egL+qBnOIgeuCBB5Iscok2JOoE51Qz/QrIyDHHHGPeDuY7Nl2IWGomr/TZ6NGjfVRRqg0BFrbYa436BL2KLknVBha0bOQSUdeoHUGGzjzzTK9jU9mO7WAjPf/8827cuHG+Lc3mHNp57bXX+rm4k22koO+XL1++gUMoC8+EdqRy8qLj0Q2///3vc9lIZDpdd911SebiG2+80TvBajnrsvDdrC2IPEPPWoOjDnnF6Z3HRiKwA2eVNXw2mww4dpvNObSFiEjWfoMGDXI9aSN9+MMfzu2IKwrrTqJQCaTJYyONHz/e919eezrJISp437ORPuGF8gceGjv1GC/8/tlnn60plEz6LKxRTscdd9wG0XQsdJhkWWQiBBMnTvRKRgjRWlBOpF82cx4C13Btij2Jxx57zH31q1/1E1mjyQz4O4sK9AwpTNbw+UQ+NHIeAv2watUqb6ilInx+sz5n0UmbG016ZRdRL774YtOocIwBjMVmhmsZmNzzfD4LrZdffjmJvBIpywTPDn8eeWX3+9hjj/URi5bwPNipfuaZZxoaoxD64fbbb/cROylg8YRB2qwtQZ5CZKD1mMnjPITQzm9961t+BzwFLPbZ6W8mh9hAjOFmfRcL+ozx0ExHsNBDz6c4+ZDPJq2fNKW845Los3POOSfJOMb5jr5qJidBXhnHKaBfePbNMmToA+QaGU/BlVde6Z2H4bsaQZ+98MILfvFibb+zAcDnNnMehnbwYvORSHBLGItEwFISIo/8cQ3RRbQlxTgmiov5r1mfoFeRJxbDKfQItlcz5yGEPiN6k4irVM7MnraR0CHMOc2ch4Bc0Nazzz7b67YU5LXBsJFSzjmMX+aSRs5D4JkwN6XwAzAWiIBlQyKvjYQtgE1gDWnC559/vv+eZm1BjrK2jCXYI3xuM+chhHYSNUuZHmsuueQS7/yCZmOYtlB6Bls6RTYp+jKvjdTV1eXHjzU8DzYWKDuU1+YhJR99Ym0jFXIgEk6LIg6vMBnzsMLEccABB/iw9Vrw98MOO8w7Fx9//HFfc4jBi6AGIURgydv+6Ec/6hdhTMzPPfdcsp0YIXqaO++80+8GtyNMUEUmba61XrygjAnBrpWeVA/0CfpmypQpLoXxVaR8AkZjHgdsUZicivQ1upbFRSonczNDIwvzR4oJnsVCkUkbg8DawUt/IK/0RxF55flYR7nddtttfh4t8myAVDw28ixhPBbp6+CosubSSy/N5TyshtQlHEqWoBuKfCYOKhyO1tAXGLx5F4rIdbNd+BiIwsXBUmTBGtKbMKgtoa+xR4v2YQpHJp9bxJnOvGC9eMFBSjpbEegTHEnXX3+9aVuISMHWKDqG0cuWMsv6hMCJIvLKtUQN8bIE+cA2KTLnFBnzeaFG29KlSws/G9aNOJytHVRFyj3Rh/SJNThXcNgV6ZMQnNNsozrGOYSjOS/YaSk2wUMWT155DXNOM2djUdgwfeqppwo9G9oyZ84c7xOxAn3NRlgRghMRJ5sl6PlmUfe1YL1ldTYFoEcoZVIE2owz+NZbbzVrR6yNtHz5cnMb6b777vPZTUVtJNLQ8bv1mAORqMFtt9228qIw8E477VSp1UBYLzn5OABrgcMQ7y0Ddvjw4f5FfQwGYbgxPpNwZXakdt11V5+CyM/333+/33UUop5hSERrqBdF8XsmbevJNwWkYGUX66Ry4IjvaVBQMZFivMfSKCU1CCOw6MIMhU+It2UUIo7DmMibUNzWkpiJGoeZddQBhk/RSDGepaWhET4zRl5x7hY1lBpB6iWR9kXHAG0gAtHKcUd/UB8lBlIwwq6vFTHPO3a8NXrW7PLHPG9kHCPMkhh5ZbxZG6UxYyB2fmiWvhWTLoe83nTTTaZtyRMVWktGiizO8y7gY3S29ZzDZkTMs0FOSB+2kll0K+uFGHllg4mC85byGpPGyHt4ryXNSiDUAmeM5eYmn8c4jLH/6BPrRX/MGIgdb/XAdiWNv6i88ixxkrP2tSLW7rK2kWLXCaF2shVlbSRLeeUchpgIdvqEmppW9jTzF3ZOzPNGx1vaSMwbMfo1OHgt16HZWup5+V+H20jRhQ0wlNj1Ja0wb92KUIQzWyeGopN0Bqf7hGvI0852UKjTEa4RohY4rnEWEcJMCh4L4FqpeKnSOGNBvnHOW1P2PmONButJPtZIB97HwseK2MkAw8DSKEVPxjrHrSe02M/DULE0SmMdK+GABCuYpGOL5Fs67nBkkn4UExGFoUQ0mJWs8FxiHYGW8opxW0YvstiwijBjcRhzEFyso7wRsZ/HuLHqD0re5Em1ryevOIasojPRS7ERfNbPJnZhyHxjlVLN57DxH6uvceRwmrYFzOdl7IFYh0EtRyYns8baSKxn/vrXv5oemhKD5UYekTGxBzzSJ3PnzjXb9G8XG4m0zlgdyTrYSl7L2Ei039JGKvN5ls+GoCYCk2JtJCvHXRlHJvBMyWSzgA3W2ANqw31YOO7KODKBaFXLiLt2sJGWLFnStE5nI3klYt4yCy3agTh//nw/YRVJLeZ0KYqgTp8+3Rs3KHfy/emMECL9mc98xqcXcRpSOCEq1BpIWUtM9H5wTFOsm2K71NbkRURriOijcDWRidToDOHw1L7YbrvtfMFTCmFXp4ReccUV/jRfDn4gvZAC4tXRgTjSR4wY4Z2AnNrJrkmAFDyiItmBPOqoo3z79t9/f59WWCuFmZ9J5UBRhIjKMDE0a2+9+4ylTOSPVdQQ7WeSj51EeB9GvhXt0Cft1I6QKh77bNulTyzT/XDcxabZ8D4ro4cFapnTPpl/raIheTaxusiy7hG6pGyqvpUd0i7yymIhdsGAvFqVIkBeyxTrRxctXLjQpC3IXOwiCNvWMvKhjPxbjR3KCJWROfQQdS0tIKugjD1AuqLF81mwYEGP6qNqmYvtE8a+1aY6z7jMnIMtQdqiBWVk39IuwR6IlTfeR39YtadMn1jOOWxIxMocdonVxkhZeeUecOiUBSckGxKxNhLvs9Kv6KQyhxmxTi1S+qPRhmKsXQI8V6ugM2SujI201ih4hGdcxkZCTpj/rIhuCaG7Rx55pHes5AUHCx57an9wgh/HbuNl5hjwsKO4xx57+B2bq666yh/FTao0DhwcLylPHxSdB9GtYZKifg+1anCuBaONQw5wUBO5gEOcaJ2sQ/yee+7xRcOpmUV9JRyT1SHr7Mrzd1L3ScXHwUj9iOrdIK7hhCoUGvU9OW6+lpOBdGau22233Xw0JS9+x8Bv1t569xlLmegwq8iyMoZxwDIash36pFPa0U5tsWxH2UW71WKBubXsqZZWY6fMgr3ZqetFd5HL7gZbpaiWuSdLB1XZvrWqSYWslbXx2uHZWLzf6rOs2lG2XxlzVs+mrE5i7Fg4VrmfMvLKe636pOwYbBc5sZxzyvSJ5fi1iJjrtD5pJ3ktayO1i8xbRRJblKCyuJ+y/cpz7UT9ulEJB6Jln0CU651deApd46goCoeo4GknpQEPMSct4yTccccdK9fgKOFFKDwRi9z0rFmzul0jRCPYFcJZffDBB1d2EIgMJCoPiPJhZ49IPxyDIfXwU5/6lC/ASiQhqbPU9Tz55JP93y+44AL/vmzEFRGKHF/PcffhpPJly5b52p4nnXRS5TpOQDriiCP8z0TU8j04+3bZZZcN0pmRecYGTvNAnvbWus8ylJlYyyi5LHmPnW/mSLaiHfqkU9rRTm2xbAc1fMsYDBYyD9lSIbGE8iGdIicWusCiX9tJXtvp2ZR17rbDs7F4f/VnxfaLVTvK9ivtsJqH28UmoE/KboxYyWvZMWglJ/Rr2c+ykpOyC20rLO7Hah5ulz5pJ3lth89oJ1vN4nMs+sRCz7eLft3IyEbifsrYSLzXcj0cdVc4R7beemufkhkLDg6chzhGSMMMDpgsOFCIVCQSjJsePXp09PeJzof8ftJ7iXSlHiLpvKTCAynCWacatWdwxAVnHHzsYx/zMhnq0lAbIzjmAtn/4wTnlCVSm/ne8OI7iQ7MQmRtIDgGKeidlzztrXWfZSijaKwUN86YrCM1ZpefCGYrytyXlWOondqBo7tMCoiVnLSLvMLQoUOjDVwMDTYhLBg2bFjpnVM+ox3k1WrBQN+WkVfaUkYfWcmr5Rgu279WY8dCXq3GTplng3xZZsu0g65Hp5WBhYuVLuHgxjL9i31o0S/cT5nFHM7HdpBX5hzsLAvok7LRNmVlzWLcWNoDZeWVTDzsfAvK3Jel44F2xM451ecodIKNhE4qc0/MOVbrHO6njI3EewkKK0tZ3chztZpz0I9lnID9jeSVPimrX636BDaKmfRwIFJ/rVrICH0lb/3555/3/8exwf+paRjgvdSpIQqR2nHHHnus+8Y3vuFPXA7Mnj3b11564YUX/AnMOGguu+wyMyUqOpNPf/rTPkWYiDycc6QRh8NJiOrLguFXawKr/n31NVmDMew+X3fddf57wwv5fuyxx7q9L2ughc8segx7nvZW32cZttxyy+j3chK2FV/5yleiDTCULbqqp/uE9lvqL2pjxk7yls+mTJ9gkGIcW7Yj1ii17JMidYGrQScg7xZ88YtfjF4YYiwNHz6828ZHGdgIjF20Wz4bIspjFwyMN+wVKx2LPmgHeUU3UU4mhgEDBpg5H9iQ5vNioB9xPOy3335mURixC+Yyeqje58XKa+xzrYaNyVGjRkXPw+i1E044waQtzOexiyjab6VfqddOIEUsgwYN8hvdFqBbY/USesgqQmbChAnRss+zoT64VaZZGd1UxvatNeeUkVfeX8ahY6WbLPuE+4nV9di+Vhs0X/jCF6LtEsbM7rvv7uvNl4W5hrET+5yxaUKmXFn4nDI2EnYn9l5ZCJD5xCc+Ea2baAvnIPS0jfTBD37QzEb63Oc+5+U/Fs5OOPDAA50VhZ8MqctdXV3+9OVqOCiCBx4iEznwgf9nTxfCqTh+/Hhf4426cDNmzPB15rIsWrTIRxuygCFNk1RSUkCFaATOCHb7WEg0G7AoJ4q9EkEYIPWY+gDBmU2tQpyRWTglMoDxSA3Ql19+2X9v9lVm94QJrdrgyNNea5jUYoxS3mO5g4tDJnanHwcyStcKJpGYycDSSAeMwBiDztqRGZwZMUaptSOT5xJjuFg7MildEGsw0P5jjjnGpB3IBwZUjFHKgn/y5MmmjpCY5x0r5/Wg3vJee+0VNRYxqk877TSztsQapcwPsYsv67FoOYYZgziHYheHyKuljo2VV2u9hr6O6RNrR+akSZOiHCG0nXrp2eyJMvBZsVHA2BFWDkT06umnnx4lc7yHOtiWkcTtMIbJwBkzZkyUvCJbyFg72EiWc85BBx3ko8NixiJ9YjnnYJfEzB3Y85bBCe0ir+hW/BTtYCOhS2Icd3w/jkzKWVnw8Y9/3NtJsTYS92EF+iCmTATPk7MD2KTpJHndbLPNogNqkBNrG2mjmBqGTMLVtduyC/3q18UXX1y5hhNmiUikVhsRhuedd94GA3Du3Lm+ICin3vzpT3/yOzBCWHLIIYe4Pffc00/ORMlSMxFlhXce5Qn8n8NIiGQknZl6h5xGmJXXb37zm74+5w033OAPPOHvRNYSRRsLDlDqjP75z3+ujIM87U0BBmERhcO1vMcSnLTogJiJetq0aWa7P0Abit4fi4QQCWsJqepFHbWkFlhOIED/Fo3EwFlgaaRn76/I5MrzLHIQWB64r6997WtR8nruueeaOjPZeON5F2kL/UfEETvJlmBIFa2vU/R55gGdXdQopQ1EYFWXtCgLjpAi+imFvAIyV9TQxflp7chkTsNILqKjeDbowmzNYatxXHTRjJ63nG+AviiaEsa8YFXKJEANZzb+Y8Yjdr4VLA6nT58e1Y/ICFEYVrCYYxwU6RPawbjBgWhJzHhERixTU4GMsqJzH/3HmhLnoyU4EHraRqIvqHtedBOcNowdO9Y8QID7K+IwSzXnhINUU+vkZnBoJfJX1EZiQ4SMBCvY2CRwqqh+Ra6waSw3i6j3H2Mj4SzfZ599zNqBE5BgnKI2PWPnnHPOcZZguxa1kQYOHFgqYrAWEydO9G0paiOhC62iVAO2K0khegkombvuusvvQLGj/fnPf94rKk5VDhBSjuF74YUX+vRonHoc7pM1SIiYuP766/1nkT7FZ+FwLFNngLaQ2oIxRTrHfffdl6u9KcC45F7yKHCu4VprgxSIUsZZWkRp4mxF2VrDhMAiJM+EjfOwbN21Rv3NZ+c1kHF8pnDahYVzXicpzgrkxNLgCdAXefsbWcJZb+mwC3AaO+M07z1yHcbo1KlTTdtB5DIbctxrnrGDTCHfP//5z837he/nued1IuJcs9xBDhCRTPZDXugTotHZTLIGZxN9ksfphIywaLFID6qnH/JGJyMjVhFlWeiLu+++24/fvPLKfDN//nxz3RbSovOOA5wxZVJaG8G98Xzy6JOgA60d7zwTDk7kHvN8Nm3lxeaqVXRMAOdbkWg1ZAn7jM1eS+iL+++/38/zeW0kxjo2nfVGK7Dxk1c/sBi2qFVWDRvaZI2F5593cTtv3jxz53u72EhkApx//vmF2k1qLBl41iCreevcBRvJ2mkXYA7J62DB2ZjCkYnjuqiNhKMeG8m6XyjxhsO4iO7+9re/7deD1ptFHA5atNY8wTPWBxAxt+eNwg+b5bfddpsPuLGmiH4YMGCA18fW8JmcC5K31nKwkdCv1vZ0v/Vlj73rISyFlAXNT3/6U1+j5d1333XtDu3lhGrRelDUGI2cdNyXIGKYQ2PefPPNDXamUNooeBZQlik51axbt87XQ/3Zz37mlWKtdCp+T/uIULDelasGXUGfrF69eoPdZZQ7BjoK23ohVw39QP1ZXu+99163v3H/TGS0I5URmGXNmjW+T7InlQcw4umT2JTnItAPQV6r5QR5xRiNieAs2gYWDRgzzeT1zDPPdN/97neTycpvfvMbH8WLrHL/1WM4tG/nnXf2i1urOlS14LuDvKJXqgnymspRljXWcdiSdlPLDGIM8zc2jzCMU9Zg5nuINn/jjTc2SGNirAR5TbE5Uw1jhrbUsoX4/jCGU/L000/71DLa0UheMaaRVyLjUoFsBHklG6Aa9Cryah1pUAv0Kn2Cnq2WWZwvLG5SzzkrV670DhGyg8IYyRJ0O3YqdhJRVCng/i+//HKf1QS1ImaCnFAWAkdmqvFDtggbQPRNLV0ffsemCIu/lFkjzeQVhzgyYlUfsx6/+MUvfKkrZLbWSeJBdljo33vvvaaRoUVtJOYa9GtKG4n7p6b/d77zHS+rteQ19Ambj7feemvSOZB+CHNOT9lIAdpAW7Dx60V+pdr8DjzxxBM+QouyUI3mHEpUMefwbwr4fgJTOGC2ln6F4OxE/1mmDFdzxx13uClTpnhZaWYjscGa6hkRvIMOpwReLf0anhe2I0E1qQ/cbQcbadGiRd5GYp3TzEZCv5Lmnpe8key91oHIQ6o1OcYgB6Koxdq1a/3i/9BDD/WDkUGIwmbniZTivghKigkuKPBQx8s6LbYRHNKEcUWkJ88ogFFM1CGlFFIao9UwgeKYoU8wRlnIsZhM7SSrBlXOwhKnDD/zTGiH9a5+HtDNb7/9tpcX2oERmtohVAu+n2cTnEQYPJZFuPNAaQP0CMYYfRJg3LDAIg3O6jTORjBWiJaZM2eOW7p0aeX3yCkGF4Yokc+t7BvkFVkJ8orhknITohqMQJyDRMxk68syZkjhpk9GjBjRsrFMPyCvwWAPEaEpIpibgXGMzIQxjJ2UIlq3HsgF0Qc8G0p2ZCGdnAg0IiVa2TeMX9oV+gSd1ooFdjXIB3JCO5DNUBezlXLKghsH4UMPPdRt8cImBCUcyOCwTnGvxSuvvOIXjdgELKYCyCspy9gERRZPZZ7Jgw8+6OV1wYIF3f42cuRIL684U1up33De4ZQJ8oqDrBWbEFn9jt3MnMPiP4CcEglOhghjuVX2YzvYSKtWrfIRb0QXZg8YRS4YM8grZwf0JRspwHzDvBPklfmmaNmTst9PlDXyumTJkm7yyjoQeY1JM46B+vu33HKLHz/ZjVaiMNElbAhbl6moZyOR/cZZFtThrz4wBRuJtOXUcw8yweGkjJtHH320m0MT/c6cg5OxFYESgXXr1nkd29M2En2yePHibn/DqYucsBlR1EbqeAciTgQE2wK6gB0Q66LTqaC9rZxg+ipMZEzo1BxEgWMYE1E0bty4nm6a+P/ngwHGpI/CY2LtiYW2EHkneyJUcEIgr6RDtHIxmZ0/WMQQjcF4wQhNvbvf7mAArlixwm+OsMAmUqgnHN6iNq+99lolGpGNohSp7SIOxgz6BAcaUbp5U62twQHCGMYZwiKS9NxWOh+yIKs4M9G16NdWLPTbGfoBW411Fs46yp2kjOjuDbDhHOSVOQd5baXzQzSGLD9spFBjN3VEWT1wUDF2cFaF8kmtDNioZSOxaYa89pSNhB5BvzLn8Fyw13qD76YVNhL9gLyWsZE63oHILpKl4fHkk096j21vcEDQ3t7QTiGEEEIIIYQQQgjRvuR1IOoQFSGEEEIIIYQQQgghRF3kQBRCCCGEEEIIIYQQQtSl1+bBWhZnDqdykc/fEwcOxLS3N7RTCCGEEEIIIYQQQvR+FIEohBBCCCGEEEIIIYSoixyIQgghhBBCCCGEEEKIusiBKIQQQgghhBBCCCGEqIsciEIIIYQQQgghhBBCiLrIgSiEEEIIIYQQQgghhOisU5jXr1/v1qxZY3qq8dq1a93q1at71SnMnETdr1+/nm6OEEIIIYQQQgghhOhgeqUDEefhFlts4fo6q1atcoMHD+7pZgghhBBCCCGEEEKIDqZXOhCJvHvrrbfMPo/IwyFDhrh//OMfbuDAga7dCe3ddNNNe7opQgghhBBCCCGEEKLD6ZUORNJ2Uzj6+Mze4EAMKH1ZCCGEEEIIIYQQQqRGh6gIIYQQQgghhBBCCCHqIgeiEEIIIYQQQgghhBCiLnIgOuf69+/vLrroIv9vb6C3tVcIIYQQQgghhBBC9F76rV+/fn1PN0IIIYQQQgghhBBCCNGeKAJRCCGEEEIIIYQQQghRFzkQhRBCCCGEEEIIIYQQdZEDUQghhBBCCCGEEEIIURc5EIUQQgghhBBCCCGEEHWRA1EIIYQQQgghhBBCCNHZDsSLL77Y9evXr9tr2223rfydg6a5Zvvtt3ebb765O/jgg91zzz3X7TP+/e9/u7POOstttdVW7gMf+IAbN26cW758ebdr3njjDXfKKae4LbbYwr/4+c0333St5IYbbnA77rij22yzzdzee+/tfvvb37b0+4UQQgghhBBCCCFE36IjHIiwxx57uJUrV1ZeS5YsqfztiiuucLNmzXKzZ892ixcv9s7F0aNHuzVr1lSuOffcc928efPc3Xff7X73u9+5t99+240ZM8b997//rVxz4oknumeffdb98pe/9C9+xonYKu655x7fzhkzZrhnnnnGHXTQQe7II490XV1dLWuDEEIIIYQQQgghhOhb9FtPeF4vh+jC+fPne4deNdwekYc43qZPn16JNtxmm23c5Zdf7iZNmuTeeustN3jwYPfjH//YTZgwwV+zYsUKN2TIEPfwww+7ww8/3P3lL39xu+++u1u4cKHbd999/TX8vN9++7lly5a5XXfdNfl98r2f/OQn3Zw5cyq/22233dz48ePdZZddlvz7hRBCCCGEEEIIIUTfo2MiEP/2t795RyHpvccff7x78cUX/e9feukl9+qrr7rDDjuscm3//v3dqFGj3IIFC/z///CHP7j33nuv2zV81p577lm55qmnnvJpy8F5CCNHjvS/C9ek5D//+Y9vZ7aNwP9b8f1CCCGEEEIIIYQQom/SEQ5EnHpz5851jzzyiLv55pu9w3D//fd3r7/+uv8ZiDjMwv/D3/h30003dVtuuWXDa7beeusNvpvfhWtS8q9//cunUze6DyGEEEIIIYQQQgghrNnYdQDUAQwMHz7cpxXvtNNO7o477vBRgsDBKtWpzdW/q6b6mlrX5/kcS2LuQwghhBBCCCGEEEKIPh2BWA2nKONIJK05nMZcHaW3atWqSjQf15AizCnLja755z//ucF3vfbaaxtEBaaA06Hf9773NbwPIYQQQgghhBBCCCGs6UgHIoekcOjJdttt52si4vz71a9+Vfk7zsInnnjCpznD3nvv7TbZZJNu13CS89KlSyvXENXIYSuLFi2qXPP000/734VrUkKKNe3MthH4fyu+XwghhBBCCCGEEEL0TToihXnq1Klu7NixbujQoT4i73vf+55bvXq1+9KXvuTTezmBeebMmW7nnXf2L35+//vf70488UT/fg5COfXUU92UKVPcoEGD3Ic+9CH/mUQxfvazn62cdnzEEUe4008/3d14443+dxMnTnRjxoxpyQnMcN5557lTTjnFjRgxwjs0b7rpJtfV1eUmT57cku8XQgghhBBCCCGEEH2PjnAgLl++3J1wwgn+oJHBgwf7uocLFy50w4YN83+fNm2ae/fdd90ZZ5zh05Q5dOXRRx91AwYMqHzG1Vdf7TbeeGN33HHH+WsPPfRQd/vtt/u04cCdd97pzj777MpJyOPGjXOzZ89u2X1OmDDBHwxz6aWX+ghJTol++OGHK/cphBBCCCGEEEIIIYQ1/dZzCocQQgghhBBCCCGEEEL0lRqIQgghhBBCCCGEEEIIG+RAFEIIIYQQQgghhBBC1EUORCGEEEIIIYQQQgghRF3kQBRCCCGEEEIIIYQQQtRFDkQhhBBCCCGEEEIIIURd5EAUQgghhBBCCCGEEELURQ5EIYQQQgghhBBCCCFEXeRAFEIIIYQQQgghhBBC1EUORCGEEEIIIYQQQgghRF3kQBRCCCGEEEIIIYQQQtRFDkQhhBBCCCGEEEIIIYSrx/8B28z1aUSPBVAAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "upset_axes = pr.pl.var_detected_by_cat_upset(\n", " adata,\n", " cat_key=\"cell_type\",\n", " min_fraction=1.0,\n", " show=False,\n", ")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "plotting-27", "metadata": {}, "source": [ "**`intensity_hist`**\n", "\n", "Inspect the abundance range and distribution shape across all measured sample–protein values. A log scale makes the long intensity tail readable. Here `log_transform=2` computes log2(intensity + 1) locally; missing values are omitted and the original matrix stays unchanged.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.intensity_hist.html)\n" ] }, { "cell_type": "code", "execution_count": 14, "id": "plotting-28", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:30.600400Z", "iopub.status.busy": "2026-09-24T14:12:30.600257Z", "iopub.status.idle": "2026-09-24T14:12:30.768137Z", "shell.execute_reply": "2026-09-24T14:12:30.767696Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pr.pl.intensity_hist(adata, log_transform=2, bins=60)" ] }, { "cell_type": "markdown", "id": "plotting-29", "metadata": {}, "source": [ "**`intensity_box_per_sample`**\n", "\n", "Compare abundance distributions between samples. Shifts may reflect biology or sample-level technical effects; this plot does not normalize them. Use the same log2(intensity + 1) display scale for each sample.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.intensity_box_per_sample.html)\n" ] }, { "cell_type": "code", "execution_count": 15, "id": "plotting-30", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:30.770112Z", "iopub.status.busy": "2026-09-24T14:12:30.769867Z", "iopub.status.idle": "2026-09-24T14:12:31.306385Z", "shell.execute_reply": "2026-09-24T14:12:31.306014Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pr.pl.intensity_box_per_sample(\n", " adata,\n", " order_by=\"cell_type\",\n", " order=stage_order,\n", " log_transform=2,\n", " ylabel=\"Intensity (log2(x + 1))\",\n", " color_scheme=stage_colors,\n", " figsize=(11, 5),\n", ")" ] }, { "cell_type": "markdown", "id": "plotting-31", "metadata": {}, "source": [ "**`abundance_rank`**\n", "\n", "View the dynamic range of mean protein abundance across samples. Averages ignore missing values, so proteins can have different numbers of contributing measurements. Rank order is determined by abundance, not by categorical labels. `input_space=\"linear\"` states that the input is raw intensity; the function applies its own log10 display transformation.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.abundance_rank.html)\n" ] }, { "cell_type": "code", "execution_count": 16, "id": "plotting-32", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:31.308342Z", "iopub.status.busy": "2026-09-24T14:12:31.308214Z", "iopub.status.idle": "2026-09-24T14:12:31.414839Z", "shell.execute_reply": "2026-09-24T14:12:31.414477Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pr.pl.abundance_rank(\n", " adata,\n", " summary_method=\"average\",\n", " input_space=\"linear\",\n", " log_transform=10,\n", ")" ] }, { "cell_type": "markdown", "id": "plotting-33", "metadata": {}, "source": [ "**`box`**\n", "\n", "Inspect a single protein across stages, retaining individual sample points to show how many measurements support each box. We choose the first fully measured, nonconstant protein in lexicographic protein-ID order for a reproducible illustration, not as a biological finding. This display selection does not filter the loaded object.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.box.html)\n" ] }, { "cell_type": "code", "execution_count": 17, "id": "plotting-34", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:31.416637Z", "iopub.status.busy": "2026-09-24T14:12:31.416519Z", "iopub.status.idle": "2026-09-24T14:12:31.536102Z", "shell.execute_reply": "2026-09-24T14:12:31.535501Z" } }, "outputs": [ { "data": { "image/png": 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f9+WXX+7/W9bftYI8jcimYvxQeN813kh2AJJBEmsyACDeeSyCqfBYxdfBTpw44eYVUKG35g5YvHixK0ZWEaeKUANde+21rqD5008/dc/nFW6qWFSFtipM1hj+Gr//s88+c2Piq/h2x44dCRZvB++/CkqDC0tj88Ybb7j1Onbs6J5TxcVVq1b1lStXzhUfBxdvx1bQ6xUk6/V+8sknrpBdczWoEHnZsmX+9f744w/3vjRu3Ng918cff+zeEz1PbMXbZcuWdeP/v/fee+498wqPVbSb1OLtn3/+2T22b9++sd6vgnQVstetWzfGe6h5KTp06OA+V71O7VPNmjX9xc8ptV3R+6hC40suucTNc6Ei58BLQnOIxDXnwa+//uorU6aMr1ChQr6RI0f6vv76a1ewrcJg7ZeO58Di6QcffNC9RhUKB+9D4MVzxRVX+EaPHu2Ki/VadYxqDgcVX+tz9MybN8/Xrl0735tvvunehwULFviGDRvm9ksF+pr7IpD2QcdLIA0YcPPNN7v7brnlFnf8LVmyxPfKK6+491THYOAACvLRRx+5+/Wc2oeHHnrIvW4VVAdL6jwW+kxUKK7n1ueq59DnrO1rvwLt27fPV69ePbePKtzX34P+XvS3ofdP82+o6N2j7envVMXb+o7Q+l27dnX7cNttt8W6jwDOD4EFgDQJLLyRZtQoUSNADQg16DQ6T3DDb+3atb6rrrrKd8EFF5zTSNq/f7+blEyNbDW+1bi69NJL3ShAR48eTbHAQiZNmuQacmrgKKhQw+XGG290jZ7EBBaiRqRGl9LEcHqfmjZt6hrDwdR4VCNbIz5VqlTJN378+DhHhVKDToGWgga9Jwq81LgKpvc7ttGmAnmNY30GcdGITlpnzZo1/mVqlDZs2NC9Ln0mPXv2jDFxXUptN3Aksrgu+kziE99kajreHn30UfeeRkZG+repEY2OHz9+znYSMzqSRw31OnXquIno9PegwEqN6+DjQQFOp06d3Pb1Puii/Rk0aJD7mwoe9UrPoYZ0MI2kpInk9Pek5/T2R6NS6TmCzZkzxx2DOk51HNavX983ZcqUGKN3nW9gIRrJTJ+nPle9Jn3OCjBio++IV1991Xf11Vf7ChQo4N4vPe6aa65xI8sFvg8K3vR3pfdTfw/6HlEAr7+RwBHZAIQui/5Jjp4PAMjsVOyrydOUNqN5LtKCUn4058H48ePT5PkzG03cprQ1pXQpFSkxtUGpacGCBS5lUDURqmNIiNLHNGGh0vHOZ64IAJkbNRYAcB5UDH3//fe7yfHUoFS+toa+1UhHoeabI+NQ7YdqXXQ8KPdfs1OnJ6oT6dq1a6KCCtGIUqo90VCx3mR0AJBY5z+EAwBkYioo1/CiGnpTQ2Kq0FpFoBp9KLbZnRHeI6OdzzC+qSG24uz4aE4KDeEMAOeDVCgAAAAAISMVCgAAAEDICCwAAAAAhIzAAgAAAEDIKN6OhWYu1UypGj4wttlaAQAAgMzA5/O5EQ9LlSplERHx90kQWMRCQUXZsmVT6vMBAAAAMpQdO3ZYmTJl0m9gsXTpUjcU3po1a2z37t02Z84cN7FUbPr06eMmnBo7dqw9+OCDidr+rFmzrFu3bnbjjTfa3LlzE71f6qnw3sB8+fIl+nEAAABAODly5Ig74e61j9NtYHHs2DGrU6eO9e7d2zp27BjnegoKVq5c6bpgEmvbtm328MMP2zXXXJPk/fLSnxRUEFgAAAAgs8uSiPKANA0sWrdu7S7x2bVrl/Xr18/NbNqmTZtEbffMmTN266232jPPPGPLli2zQ4cOJdMeAwAAAMhwo0KpiLpHjx42aNCgJM1kO2zYMCtatKjdcccdiVr/1KlTrpsn8AIAAAAgTAKLMWPGWLZs2ax///6Jfsx3331nU6ZMscmTJyf6MaNHj7b8+fP7LxRuAwAAAGESWKig++WXX7Zp06YleshXDYXVvXt3F1QUKVIk0c81ePBgO3z4sP+iom0AAAAAiZduh5tVbcS+ffusXLlyMWonHnroIRs3bpxt3br1nMf8/vvvbnnbtm1jpFOJej42bdpklStXPudxkZGR7gIAAAAgzAIL1VY0a9YsxrKWLVu65RpFKjbVq1e3n3/+OcayIUOGuJ4M9X6Q4gQAAACEYWBx9OhR27Jli/92VFSUrV271goVKuR6KgoXLhxj/ezZs1uJEiWsWrVq/mU9e/a00qVLuzqJnDlzWs2aNWM8pkCBAu46eDkAAACAMAksVq9ebU2aNPHfHjhwoLvu1auXq61IjO3btyc4vTgAAACAlJXF5/P5Uvg5MhwNN6vRoVTIzQR5AAAAyKyOJKFdzKl+AAAAACEjsAAAAAAQMgILAAAAAOE73CzCy6pVq2z9+vVudK4GDRqk9e4AAAAgmdFjkYYOHDhgU6dOddfhHlQMHz7c5syZ4651GwAAAOGFwCINzZs3z80Wrutwpp6K+G4DAAAg4yOwSENt27a1ypUru+twFjw5IZMVAgAAhB/msYgF81gkP2osAAAAwrtdTPE2UoUKtinaBgAACF+kQgEAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAADI2IHF0qVLrW3btlaqVCnLkiWLzZ07N851+/Tp49YZN25cvNucPXu21a9f3woUKGC5c+e2unXr2rvvvpsCew8AAAAgXQQWx44dszp16tj48ePjXU8Bx8qVK10AkpBChQrZE088YStWrLB169ZZ79693WXhwoXJuOcAAAAAAmWzNNS6dWt3ic+uXbusX79+LjBo06ZNgtts3LhxjNsPPPCAvf3227Z8+XJr2bJlyPsMAAAAIIPVWJw9e9Z69OhhgwYNsho1aiT58T6fz7766ivbtGmTNWrUKM71Tp06ZUeOHIlxAQAAAJBBeiwSMmbMGMuWLZv1798/SY87fPiwlS5d2gUMWbNmtQkTJljz5s3jXH/06NH2zDPPJMMeAwAAAJlTug0s1qxZYy+//LL9+OOPrmg7KfLmzWtr1661o0ePuh6LgQMHWqVKlc5Jk/IMHjzYreNRj0XZsmVDfg0AAABAZpFuA4tly5bZvn37rFy5cv5lZ86csYceesiNDLV169Y4HxsREWFVqlRx/9eoUL/++qvrlYgrsIiMjHQXAAAAAGEWWKi2olmzZjGWqfhayzXKU1JrLZQWBQAAACAMAwulKm3ZssV/OyoqyqUwachY9VQULlw4xvrZs2e3EiVKWLVq1fzLevbs6eop1CMhutY8FpUrV7bo6GhbsGCBvfPOO/b666+n4isDAAAAMpc0DSxWr15tTZo08d/26hx69epl06ZNS9Q2tm/f7lKfAufGuPfee23nzp2WK1cuq169uk2fPt1uvvnmFHgFAAAAACSLT3lCiEHF2/nz53ejS+XLl493BwAAAJnSkSS0i9P1PBYAAAAAMgYCCwAAAAAhI7AAAAAAEDICCwAAAAAhI7AAAAAAEDICCwAAAAAhI7AAAAAAEDICCwAAAAAhI7AAAAAAEDICCwAAAAAhI7AAAAAAEDICCwAAAAAhyxb6JgBkBqtWrbL169dbzZo1rUGDBmm9OwAAIJ0hsAAyoZMnT9q2bdsSvf66dets2rRpFhERYXPmzLGhQ4cSXAAAgBgILIBMSEHFXXfdlej19+zZY6VLl7Y8efK42+q5oNcCAAAEIrAAMqHy5cvb5MmTzwk2RowYYUOGDHH3x9Zj4VE6FAAAQCACCyATypkzp1WrVi3W+xRUBN+n21pOjQUAAIgLgQWARFHqE+lPAAAgLgw3CwAAACBkBBYAAAAAQkZgAQAAACBkBBYAAAAAQkZgAQAAACBkBBYAAAAAQkZgAQAAACBkBBYAAAAAQkZgAQAAAIDAAgAAAEDao8cCAAAAQMgILAAAAACEjMACAAAAQMgILAAAAACEjMACAAAAQMYOLJYuXWpt27a1UqVKWZYsWWzu3LlxrtunTx+3zrhx4+Ld5uTJk+2aa66xggULukuzZs1s1apVKbD3AAAAANJFYHHs2DGrU6eOjR8/Pt71FHCsXLnSBSAJWbJkiXXr1s2++eYbW7FihZUrV85atGhhu3btSsY9BwAAABAom6Wh1q1bu0t8FBD069fPFi5caG3atElwmzNmzDinB+Ojjz6yr776ynr27BnyPgMAAADIYDUWZ8+etR49etigQYOsRo0a57WN48eP2+nTp61QoULJvn8AAAAA0kGPRULGjBlj2bJls/79+5/3Nh577DErXbq0q7WIy6lTp9zFc+TIkfN+PgAAACAzSreBxZo1a+zll1+2H3/80RVtn4/nnnvO3nvvPVd3kTNnzjjXGz16tD3zzDMh7C0AAACQuaXbVKhly5bZvn37XPG1ei102bZtmz300ENWoUKFBB//wgsv2KhRo2zRokVWu3bteNcdPHiwHT582H/ZsWNHMr4SAAAAIPyl2x4L1VYEpy+1bNnSLe/du3e8j33++edtxIgRruC7fv36CT5XZGSkuwAAAADIgIHF0aNHbcuWLf7bUVFRtnbtWldorZ6KwoULx1g/e/bsVqJECatWrZp/mUZ6Ug2F0pm89KehQ4fazJkzXc/Gnj173PI8efK4CwAAAIAwS4VavXq11atXz11k4MCB7v9PPvlkorexfft22717t//2hAkTLDo62jp16mQlS5b0X5QaBQAAACAMeywaN25sPp8v0etv3br1nGUqzE5oHQAAAACZtHgbAAAAQMZBYAEAAAAgZAQWAAAAAEJGYAEAAAAgZAQWAAAAAMJ3gjwAABJj1apVtn79eqtZs6Y1aNCANw0A0gg9FgCAdOnAgQM2depUdx1fUDF8+HCbM2eOu9ZtAEAGCCw2bdpkTz/9tDVt2tQqV67sJp6rXbu29erVy810ferUqZTbUwBApjJv3jz7/fff3XVc1FMR320AQDoLLH766Sdr3ry51alTx5YuXWqXXXaZPfjgg+7sUPfu3d0kd0888YSVKlXKxowZQ4ABAAhZ27Zt3UksXcdF6U/x3QYApLMai/bt29ugQYPs/ffft0KFCsW53ooVK2zs2LH24osv2uOPP56c+wkAyGSKFClivXv3jncd1VQMHTqUGgsAyCiBxW+//WY5cuRIcL0rrrjCXaKjo5Nj3wAASJCCC4q2ASCDpEIlJqgIZX0AAAAAmWy42a1bt9qyZcvc9fHjx61o0aJWr14911ORM2fOlNlLAAAAAOERWGjUp1deecUN5VesWDErXbq05cqVy/766y83aoeCiltvvdUeffRRK1++fMruNQAAAICMF1hccsklFhERYbfddpt98MEHVq5cuRj3a5hZFW7PmjXL6tevbxMmTLDOnTun1D4DAAAAyIiBhYaVbdOmTZz3R0ZGWuPGjd1lxIgRFhUVZZnV3r177dChQ+cEXnv27EnytkqUKOHeW0+BAgWsePHiybKfAAAAQKoHFvEFFbEND6hLZg0qbr21u0VHp8xEgTlyRNqMGdMJLgAAAJDxi7fj8u+//9qff/55TppUZqKeCgUVJys3Nl+uAv93x9l/Lcupo0neni8yj1nE/z6iLCcOmf2+xD0HvRYAAAAI28Biw4YNrhbjzJkzltkpqDibO6jXJm8qjAsMAAAApBHaqwAAAABSr8dCvRHxOXHiROh7AwAAACC8A4tffvnFunbtahUrVoz1/t27d9vmzZuTc98AAAAAhFtgUbNmTbv88sutb9++sd6/du1amzx5cnLuGwAAAIBwq7G4+uqrbdOmTXHenzdvXmvUqFFy7RcAAACAcOyxGDduXLz3V65c2b755pvk2CcAAAAAGQyjQgEAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAABIvVGhAAAAgIxi1apVtn79ejcXW4MGDdJ6dzKFkAKLe++914YNG2ZFihRJvj0CAAAAQgwqhg8f7v4/Z84cGzp0aIYOLk6ePGnbtm1L0mPKly9vOXPmtAwTWEyfPt0efvhhAgsAAACkG+qpCL6dkQOLbdu22V133ZWkx0yePNmqVatmGSaw8Pl8ybcnAAAAQDJQ+pN6KgJvZ2Tly5d3gUJwsDFixAgbMmSIuz+2x2S44u0sWbKc92OXLl1qbdu2tVKlSrntzJ07N851+/Tp49ZJaAbwDRs2WMeOHa1ChQqJWh8AAADhRb0TSn/q0KFDhk+DEqU0qfch8OIFDroOvk+X1E6DSnKPRZMmTWIEEidOnLBbbrnFcuXK5V/29ddfJ3p7x44dszp16ljv3r1dMBAXBRwrV650AUhCjh8/bpUqVbLOnTvbgAEDEr0vAAAACB8KJjJ6QJHRJCmwuO2222KkQa1YscJuuukmK1as2Hk9eevWrd0lPrt27bJ+/frZwoULrU2bNglu87LLLnMXeeyxx85rvwAAAACkYGDRq1evGLfvv/9+19OgHoKUcPbsWevRo4cNGjTIatSokSLPAQAAACCNi7dDqa9IjDFjxli2bNmsf//+Kfo8p06dchfPkSNHUvT5AAAAgHATkV5HhVqzZo29/PLLNm3atBQPYEaPHm358+f3X8qWLZuizwcAAACEm5ACi19++SXFhrJatmyZ7du3z8qVK+d6LXTRsFoPPfSQG/EpOQ0ePNgOHz7sv+zYsSNZtw8AAACEu5BSoVLyzL5qK5o1axZjWcuWLd1yjSKVnCIjI90FAAAAQBoEFqE6evSobdmyxX87KirK1q5da4UKFXI9FYULF46xfvbs2a1EiRIxZhHs2bOnlS5d2qUzSXR0tOtJ8f6vUaW0zTx58liVKlVS7bUBAAAAmUmaBharV692c2N4Bg4c6B99SrUVibF9+3aLiPi/jK4///zT6tWr57/9wgsvuMu1115rS5YsSdb9BwAAAJAOAovGjRsnqQB869at5ywLDhZUf5GSReUAAAAAkrl4GwAAAADOK7DYu3dvnPetW7eOdxUAAADIhJKcClWrVi178803rV27djGWq45h6NChduLEieTcP2Ryq1atsvXr11vNmjWtQYMGab07GZJOBhw6dCjB9TScc+B1YhQoUMCKFy8e0v4BAIBMGlg8+uijdvPNN7sC67Fjx9pff/3lhoDdsGGDvf/++ymzl8i0QcXw4cPd/+fMmeMCV4KLpAcV3W+91U5FRyf6MSNGjEj0upE5ctj0GTMILgAAQNIDC01Qp/klunfvbrVr13aBRcOGDV0aFGcukZzUUxF8m8AiadRToaCib41jVir3mWT9fP48ltVe3/C/5+BvHwAAnNeoUJUqVbIaNWrYxx9/7G536dKFhgWSndKf1FMReBvnR0FFxXzJG1gAAACEFFh89913rrdCk9epl0K377//fvvss8/sjTfesIIFC1pml+XEoWQfbkvbzGzUO6H0J2osAAAAwjCwuO6662zAgAEu910zYV900UVukjvVWaiwe+fOnZbZ5fydifiSM7gg/QkAACAMA4tFixa5WawDVa5c2ZYvX24jR45Mzn3LsE5Wbmy+XAWSvcciNQMWRmMCAABAigYWwUGFJyIiwqWtwFxQcTZ3kQw7kyGjMQEAACBF2quzZs1K9AZ37Njh6i4QXqMxAQAAACEHFq+//rpVr17dxowZY7/++us59x8+fNgWLFhgt9xyi1166aVuCFpkXMGjLzEaEwAAAJIlFerbb7+1+fPn26uvvmqPP/645c6d2w0vmzNnTvv7779tz549VrRoUevdu7c7u12sWLHEbBbpFKMxAQAAIMVqLG644QZ3OXjwoCvU3rp1q504ccKKFCli9erVcxfVWSA8MBoTAAAAUrR4W/NX3HjjjUl9GAAAAIAwRhcDAAAAgNQNLDS79p133mmPPPLIOUXcqrXQ5HkAAAAAMp9EBxYzZ850KVAq1F6xYoVdcsklNmPGDP/90dHRrsgbAAAAQOaT6BqLF154wcaOHWv333+/u/3RRx+5UaBOnjxpd9xxR0ruIwAAAIBwCSw2b97sRoXydOrUyY0I1a5dOzt9+rR16NAhpfYRAAAAQLgEFvny5bO9e/daxYoV/csaN25s8+bNcwHHzp07U2ofM5wsJw4le1W8tgkAAABk+MBC8xp8/vnn1rBhwxjLr732Wn9wkdkVKFDAcuSINPt9SYpsX9vWcwAAAAAZNrAYMGCAff/997Hep54Lzcz99ttvW2am2chnzJhuhw4lrndh27ZtNmLECBsyZIiVL18+wfUVVOg5AAAAgAwbWKhnQpe4KLjQJbNTwz+pjX8FFdWqVUuxfQIAAADS3czbR44ciXV5lixZLDIy0nLkyJEc+wUAAAAgnAMLpeMoiIhLmTJl7LbbbrOnnnrKIiKY2BsAAADIDJIcWEybNs2eeOIJFzyooNvn89l//vMfV1+hWoH9+/e7OS/Ue/H444+nzF4DAAAAyNiBhQKIF1980bp06eJfprksatWqZW+88YZ99dVXVq5cORs5ciSBBRCG1u48bpv2nbK8uS/QQNRpvTsAACCjBhYrVqywiRMnnrO8Xr167j65+uqrbfv27cmzhwDSVVDxyrf73f+P//uPnciXO613CQAApBNJLoJQDcWUKVPOWa5lZcuWdf8/ePCgFSxYMHn2EEC6oZ6KQMeOHUuzfQEAABm8x0L1E507d3aT5V122WWukFs1Fhs3brSPPvrIraPbN998c0rsL4A0VK1YpC389f9u585NjwUAADjPwEL1FJs2bXLpUJs3b3bF261bt7a5c+dahQoV3Dp9+/ZN6mYBZAB1y1xg/a8t6q+xmLkjb1rvEgAAyKiBhSiAePbZZ5N/bwBkiOBCl6gjWc12pPXeAAAQXvbu3WuHDh1KcL1t27bFuE7stBFJncg5xQMLvVjVVPz6668uFeriiy+222+/3fLnz5/8ewgAAABkkqCi+63d7VR0zJrG+IwYMSLR60bmiLTpM6anWHCR5MBi9erV1rJlS8uVK5d/HouXXnrJDS+7aNEiu+SSSxK9raVLl9rzzz9va9assd27d9ucOXOsffv2sa7bp08fmzRpko0dO9YefPDBeLf78ccf29ChQ+3333+3ypUru33r0KFDUl8qAAAAkGoOHTrkgorLK7WxfDkLJ+u2j5w8aCv/+Mw9R7oJLAYMGODqLCZPnmzZsv3v4f/++6/deeedrsGvYCGxNKJMnTp1rHfv3taxY8c411P9xsqVK61UqVIJblND3qpwfPjw4S6YULCiOTeWL19ul19+eaL3DQAAAEgL+XIWtoK5Uy5lKaWcV49FYFDhNpItmz3yyCNWv379JG1LRd+6xGfXrl3Wr18/W7hwobVp0ybBbY4bN86aN29ugwcPdrd1/e2337rl7733XpL2DwAAAEAKzWORL1++WCe/27Fjh+XNm7wjxJw9e9Z69OhhgwYNsho1aiTqMeqxaNGiRYxlSt36/vvv43zMqVOn7MiRIzEuAAAAAFIwsFCa0R133GHvv/++CyZ27txps2bNcqlQ3bp1s+Q0ZswY1xvSv3//RD9mz5495+SN6baWx2X06NGu8Ny7eBP9AQAAAEjBCfI0ElTPnj1dbYVkz57dzV2RnEPQqqD75Zdfth9//NE9X1IEr68C8/i2oXSpgQMH+m+rx4LgAgAAAEjBwCJHjhyuwa+z/Bp1SY32KlWq2AUXXGDJadmyZbZv3z4rV66cf9mZM2fsoYcecvUSW7dujfVxJUqUOKd3QtuJr/o9MjLSXQAAAACk4jwWokCiVq1allJUW9GsWbNzaiW0XKNIxeWKK66wxYsXu9GrPBoG98orr0yxfQUAAAAyu0QFFjfddFOiNzh79uxEr3v06FHbsmWL/3ZUVJStXbvWChUq5HoqCheOOX6vUq7UI1GtWjX/MqVklS5d2vWgyAMPPGCNGjVy9Rk33nijffLJJ/bll1+64WYBAAAApGFgkVIzamvo2iZNmvhve3UOvXr1smnTpiVqGxqhKiLi/2rQ1TOhYvIhQ4a4SfI0QZ4KzZnDAgAAAEjjwGLq1Kkp8uSNGzd2NRqJFVtdxZIlS85Z1qlTJ3cBAAAAkE6HmwUAAACA8+qxaNWqlT355JMJFkD/888/NmHCBMuTJ4/dd999idk0gFTw57GIDLFNAABS0qpVq2z9+vVWs2ZNa9CgAW92WgQWnTt3ti5duriZtdu1a2f169e3UqVKWc6cOe3vv/+2X375xRVHL1iwwG644QZ7/vnnk3s/AYTg9Q15eP+Qbuzdu9cOHTrkv33q1Kl4JzGNiwbzCBwqvECBAvEOLQ4gc1NQMXz4cPf/OXPmuFpcgos0CCw007aGef3oo49cIfTkyZP9PwqaeO7iiy92Q8FqUrvAEZsApA99axy1UrnPJnuPBQELzieouLX7rRZ9KjrZ37wckTlsxvQZBBcAYqWeiuDb6TWwOHLiYIbY5nnPY6GJ8W655RZ3kcOHD9uJEyfckLAaBhZA+qWgomK+M2m9G4A7KaWg4myDs+bL9/8H79Cheew83pzcZpb1f//NciSLRa+Kdtun1wJAbJT+pJ6KwNvpNaVqZdRnlqkmyNMQtCk1DC0AILy5oKJgwIIiIW7PEj/CIIDMSQGA0p9CDQhSI6Xq8optLF+umPO5JUePRUoHLOcdWCB9oAgJAAAgcRQAhBoEpEZKVb5cha1g7oxXM0ZgkQpOnjxp27ZtO2e5tyy2+6R8+fKuQD4uFCEBAABk3JSqcENgkQoUONx1111x3j9ixIhYl6tIPr5i+IxUhAQAABAOkiulKhwRWKQC9TwoSDifx8WHiBkAACBjplSFoyQHFrfddpvdfvvt1qhRo5TZozCkdKaUGIaXiBkAAAAZNrDQ7NotWrSwsmXLWu/eva1Xr15WunTplNk7JIiIGQAAAOlBRFIf8PHHH9uuXbusX79+9uGHH1qFChWsdevWbvK806dPp8xeAgAAAAivwEI0Kd4DDzxgP/30kxuZqEqVKm5m7lKlStmAAQPst99+S/49BQAAABBegYVn9+7dtmjRInfJmjWrXX/99bZhwwa7+OKLbezYscm3lwAAAADCK7BQupPSoW644QY3apHSodRLoSDj7bffdkHGu+++a8OGDUuZPQYAAACQ8Yu3S5YsaWfPnrVu3bq5NKi6deues07Lli2tQIECybWPAAAAAMItsFCKU+fOneOdEbpgwYIWFRUV6r4BAAAACNdUqG+++SbW0Z+OHTvm5rcAgLSiXtS33nrLXQMAgHQeWKiO4sSJE+cs17J33nknufYLAJJEwcTw4cNtzpw57prgAgCAdJoKdeTIEfP5fO6iSfICU6HOnDljCxYssGLFiqXUfgJAvNavX3/ObU0gCQAA0llgoWLsLFmyuEvVqlXPuV/Ln3nmmeTePwBIlJo1a7reisDbAAAgHQYWqq1Qb8V1113nhpstVKiQ/74cOXK4oWc1QR4ApAX1TgwdOtT1VCiooLcCAIB0Glhce+217lqjPZUrV871UABAeqJggoACAIB0HFisW7fOnQGMiIiww4cP288//xznurVr107O/QMAAAAQLoGFJsHbs2ePK87W/9VbobSoYFquQm4AAAAAmUuiAgulPxUtWtT/fwAAAABIcmChwuzY/g8AAAAAiQ4sgifIK1KkiLVp08bdfuSRR2zSpEl28cUX23vvvUfgAaRDfx7LmiG2CQAAMlFgMWrUKHv99dfd/1esWGHjx4+3cePG2fz5823AgAE2e/bslNhPAOdB889E5shhr29ImbdP29ZzAOmNZl5n6GEASOeBxY4dO6xKlSru/3PnzrVOnTrZ3XffbVdddZU1btw4JfYRwHkqXry4TZ8xww4dOpTgutu2bbMRI0bYkCFDEt3zqKBCzwGkt6Bi+PDh7v+aNFHzmzAMMQCkw8AiT548dvDgQTeXxaJFi1wvheTMmdNOnDiREvsIIARq+Cel8a+golq1arznyLDUUxF8m8ACAFJeRFIf0Lx5c7vzzjvdZfPmzf5aiw0bNliFChVSYh8BAEg0zbsU320AQDrpsXjttddcqoRSoj7++GMrXLiwW75mzRrr1q1bSuwjAACJpt4JpT9RYwEA6bzHQjnVKtj+5JNPrFWrVv7lzzzzjD3xxBNJ2tbSpUutbdu2VqpUKTe5nmo2Aj399NNWvXp1y507txUsWNCaNWtmK1eujHebp0+ftmHDhlnlypVdeladOnXsiy++SOKrBABk9ODi9ttvJwUKANJzj4WoEFTFcfv27bOzZ8/6lys46NGjR6K3c+zYMdfw7927t3Xs2PGc+6tWreqCmEqVKrn6jbFjx1qLFi1sy5Yt/gn7gqk3Zfr06TZ58mQXlCxcuNA6dOhg33//vdWrV+98Xi4AAACA5A4s5s2bZ7feeqsLCvLmzeuCifMNLFq3bu0ucbnlllti3H7ppZdsypQptm7dOmvatGmsj3n33Xddz8n111/vbvft29cFFy+++KILOAAAAACkg8DioYcect3Lms/iggsusNQSHR3tJuLLnz+/6+WIy6lTp1wKVKBcuXLZ8uXL432MLp4jR44k014DAAAAmUOSA4tdu3ZZ//79Uy2o0MR7Xbt2tePHj1vJkiVt8eLFbubvuLRs2dL1bDRq1MjVWXz11VeuHuTMmTNxPmb06NGuRgQAkEqS+/wN54MAIOMFFmq4r1692tU9pIYmTZrY2rVr7cCBA65uokuXLq6Au1ixYrGu//LLL9tdd93l6iuUmqXgQjUcU6dOjfM5Bg8ebAMHDozRY1G2bNkUeT0AALOsq7LyNgBAZg8sNG/FoEGD7JdffrFatWpZ9uzZY9zfrl275Nw/NyKUZvrWpWHDhnbhhRe6OgsFA7FRUbdGlzp58qSbyE8jTj322GNWsWLFOJ8jMjLSXQAAqeNMgzNm+ZJxg0cIVgAgwwUW6g0QDekaTD0E8aUcJQefzxejHiIuqrMoXbq0G35W822opwMAkE4oqCiY1jsBAEjTwCJweNlQHT161A0d64mKinJpT4UKFXIT740cOdL1gKi2Qr0PEyZMsJ07d1rnzp39j+nZs6cLIFQnIUqTUh1I3bp13bXmwtA+P/LII8m23wAAAACSYR4Lj9KNgkdgSgrVaqiGwuPVOfTq1csmTpxoGzdutLffftvVVyjQuOyyy2zZsmVWo0YN/2O2b99uERERMfZJc1n88ccflidPHjfsrIag1cR+AAAAQHp35OTBGLfPnP3Xjp06nKRt5I7Mb1kjssW5zXQRWCjVSUPNquG/d+9e27x5syvkHjp0qFWoUMHuuOOORG+rcePGLrUpLrNnz05wG0uWLIlx+9prr3X1HwAAAEBGUqBAAYvMEWkr//gsRbavbafkyfYkBxZKT1IvwnPPPeevtxAVcmtm7KQEFgCAzGPVqlX25Zdf2j///GMXWOrNgwQAGUXx4sVt+ozpdujQoRjLVV+8Z8+eJG2rRIkS5wxOpKBCz5FuAot33nnHTVSnma/vuece//LatWu71CUAAGILKoYPH+5q65TCWnpnactbMC9vFAAEUcM/tsa/2tphOUGehn4NpgJpjcAEAECw9evXx7h9fN9xy2sEFvhf0Knjo2bNmtagQQPeEiADS3JgocJpFVCXL18+xvIPP/zQ6tWrl5z7BgAIE2o0zpkzx3/7gmKkQuH/erJEx4fqNc8nuEju4EQDwWzbti1Jj1G7KJQBbYBMGVg89dRT1qNHD9dzoV4KFVhv2rTJpUjNnz8/ZfYSAJChqbGnRqNqLJQ7fEEZAguc25Ol20kNDEINTjQQTXA+u4KKESNGJGk/NCJl8EnXlM5nBzJ8YNG2bVt7//333chQmhDvySeftEsuucTmzZtnzZs3T5m9BABkeGrs5c+f37744gs7Yyk7mSoyZk+WbqdmcKKgovutt9qp6GgLVWyBSGSOHDZ9xgyCC2Qa5zWPRcuWLd0FAAAg1J6sUNKYQglO1FOhoKKTmRW15LXfzD6KjnbPQa8FMoskBxaas+I///mPm7AukP5w1HOhiekAAAASQ8FEKHURyRGcAEijwGLr1q1ukrxgGl9XdRcAkFiMBgMgPQQnH/ExAKkbWHz66af+/y9cuNDlyXoUaHz11Vdu5m0A6V9sI554t+MaCSW5RzxJrtFgACBUKZYKlczbBMImsGjfvr27VsF2r169YtyXPXt2F1S8+OKLyb+HAJKdgoe77ror1vviGgll8uTJVq1atXQ1GgyA8JGWPZgKKkpZlmTeqi+ZtweEUWChoWWlYsWKrsaiSJEiKblfAFKQeh8UKCT1MeltNBgA4YEeTCCT1lhERUWlzJ4ASDVKaUrO3ofzQcElAA89mEAmHm5W9RS67Nu3z9+T4XnrrbeSa98AhLlQCy6RcWU5ksV8yZgqou0h46IHE8ikgcUzzzxjw4YNs/r161vJkiVdzQUAAImhmYhzROaw6FWhT0gWTNvV9pHx0IMJZNLAYuLEiTZt2jTr0aNHyuwRACBsaaKwGdNnuLmPEjPIgAYTGDJkSKJqfBRUMBFZxkUPJpAJA4vo6Gi78sorU2ZvAABhT43/pAQACirSuiYIAJCwCEuiO++802bOnJnUhwEAAAAIY9nOZ2KtSZMm2Zdffmm1a9d2c1gEeumll5Jz/wAAAACEY2Cxbt06q1u3bqzDw1HIDQAAAGROSQ4svvnmm5TZEwAAAACZp8YCAAAAAM67x+Kmm25K1HqzZ89O7CYBAADS3H737/9N2HjazBIeEDkmzaCS/ZxtAplLogOL/Pnzp+yeAAAApCLNfRKZI4d9FJ38EzaKts2kjchMEh1YTJ06NWX3BAAAIBVpPpXpM86dsPHUqVO2Z8+eJG2rRIkSFhkZGWMZkzYis0ly8TYAAEC4T9ioIfUBJA3F2wAAAABCRmABAAAAIGQEFgAAAABCRmABAAAAIGQEFgAAAABCRmABAAAAIGQEFgAAAAAydmCxdOlSa9u2rZUqVcqyZMlic+fOjXH/008/bdWrV7fcuXNbwYIFrVmzZrZy5coEtztu3DirVq2a5cqVy8qWLWsDBgywkydPpuArAQAAADK3NA0sjh07ZnXq1LHx48fHen/VqlXdfT///LMtX77cKlSoYC1atLD9+/fHuc0ZM2bYY489Zk899ZT9+uuvNmXKFHv//fdt8ODBKfhKAAAAgMwtTWfebt26tbvE5ZZbbolx+6WXXnKBwrp166xp06axPmbFihV21VVX+R+rYKRbt262atWqZN57AAAAABmuxiI6OtomTZpk+fPnd70ccbn66qttzZo1/kDijz/+sAULFlibNm1ScW8BAACAzCVNeywSY/78+da1a1c7fvy4lSxZ0hYvXmxFihSJc32tq1QpBRg+n8/+/fdf69u3r0uPisupU6fcxXPkyJFkfx0AAABAOEv3PRZNmjSxtWvX2vfff2+tWrWyLl262L59++Jcf8mSJTZy5EibMGGC/fjjjzZ79mwXnAwfPjzOx4wePdr1hHgXFXwDAAAACKPAQiNCValSxRo2bOjqK7Jly+au4zJ06FDr0aOH3XnnnVarVi3r0KGDjRo1ygUPZ8+ejfUxKuw+fPiw/7Jjx44UfEUAAABA+En3qVDBlN4UmLYUTClTEREx46WsWbO6x+kSm8jISHcBAAAAkAEDi6NHj9qWLVv8t6OiolzaU6FChaxw4cIupaldu3autuLgwYMuvWnnzp3WuXNn/2N69uxppUuXdj0SonkxNHpUvXr17PLLL3fbVy+GtqMAAwAAAECYBRarV692NRSegQMHuutevXrZxIkTbePGjfb222/bgQMHXKBx2WWX2bJly6xGjRr+x2zfvj1GD8WQIUPcZHu63rVrlxUtWtQFGwpSAAAAAKSMLL648oMyMY0KpSJu1Vvky5cvrXcHADKlTZs22V133WWTJ0+2atWqpfXuAECmdCQJ7eJ0X7wNAAAAIP0jsAAAAAAQMgILAAAAACEjsAAAAACQ+eaxAACEr1WrVtn69eutZs2arlgQAJBxEFgAANLUyZMnbdu2bbZu3To3X5GnQ4cO7lr3xaZ8+fKWM2fOVNtPAED8GG42Fgw3CwCpP6zsnj173GSoHs1fVKJEiTgfxzC0AJC+2sX0WAAA0pR6HhQkBPdY3HvvvVa7du14HwcASD8ILAAAaUrpTJoATxcFC16NRYMGDfhkMlFNDZ83kPGRChULUqEAAEj5oGL48OH+20OHDk33wcWBAwds3rx51rZtWytSpEha7w6QKph5GwAApGvqqYjvdnqkoOL333931wDOxTwWAAAg1Sn9Kb7b6ZF6KipXruyuAZyLVKhYkAoFAEDKo8YCSP8YFQoAAKR7qqlI73UVABKPVCgAAAAAISOwAAAAABAyAgsAAAAAISOwAAAAABAyAgsAAAAAISOwAAAAABAyAgsAAAAAISOwAAAAABAyAgsAAAAAISOwAAAAABAyAgsAAAAAISOwAAAAABAyAgsAAAAAISOwAAAAABAyAgsAAAAAISOwAAAAABAyAgsAAAAAISOwAAAAABAyAgsAAAAAISOwAAAAAJCxA4ulS5da27ZtrVSpUpYlSxabO3dujPuffvppq169uuXOndsKFixozZo1s5UrV8a7zcaNG7ttBV/atGmTwq8GAAAAyLzSNLA4duyY1alTx8aPHx/r/VWrVnX3/fzzz7Z8+XKrUKGCtWjRwvbv3x/nNmfPnm27d+/2X9avX29Zs2a1zp07p+ArAQAAADK3LD6fz2fpgHoV5syZY+3bt49znSNHjlj+/Pntyy+/tKZNmyZqu+PGjbMnn3zSBRnq+UgM73kOHz5s+fLlS/RrAAAAAMJJUtrFGabGIjo62iZNmuRemHo5EmvKlCnWtWvXRAcVAAAAAJIum6Vz8+fPd4HB8ePHrWTJkrZ48WIrUqRIoh67atUqlwql4CI+p06dcpfAyAwAAABA4qX7HosmTZrY2rVr7fvvv7dWrVpZly5dbN++fYl6rAKKmjVrWoMGDeJdb/To0a4nxLuULVs2mfYeAAAAyBzSfWChFKYqVapYw4YNXaCQLVu2BHsgRD0cs2bNsjvvvDPBdQcPHuzyxrzLjh07kmnvAQAAgMwh3adCBVOteWDaUlw++OADt1737t0TXDcyMtJdAAAAAGTAwOLo0aO2ZcsW/+2oqCiX9lSoUCErXLiwjRw50tq1a+dqKw4ePGgTJkywnTt3xhg6tmfPnla6dGmXzhRIvRoaYUrbAQAAABDGgcXq1atdDYVn4MCB7rpXr142ceJE27hxo7399tt24MABFyBcdtlltmzZMqtRo4b/Mdu3b7eIiJgZXZs3b3bzXixatCgVXw0AAACQeaWbeSzSE+axAAAAACw857EAAAAAkH4RWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJARWAAAAAAIGYEFAAAAgJBlC30TAAAAABJj1apVtn79eqtZs6Y1aNDAwgk9FgAAAEAqBRXDhw+3OXPmuGvdPl8HDhywqVOnuuv0gsACAAAASAXr16+P93ZSzJs3z37//Xd3nV4QWAAAAACpoGbNmvHeToq2bdta5cqV3XV6kcXn8/nSeifSmyNHjlj+/Pnt8OHDli9fvrTeHQAAAISJVRmsxiIp7WKKtwEAAIBU0qBBgwwRUJwPUqEAAAAAhIzAAgAAAEDICCwAAAAAhIzAAgAAAEDICCwAAAAAZOzAYunSpW7s3VKlSlmWLFls7ty5Me5/+umnrXr16pY7d24rWLCgNWvWzFauXJngdg8dOmT33XeflSxZ0nLmzGkXXXSRLViwIAVfCQAAAJC5pWlgcezYMatTp46NHz8+1vurVq3q7vv5559t+fLlVqFCBWvRooXt378/zm1GR0db8+bNbevWrfbRRx/Zpk2bbPLkyVa6dOkUfCUAAABA5pZuJshTj8WcOXOsffv2CU7Q8eWXX1rTpk1jXWfixIn2/PPP28aNGy179uzntS9MkAcAAABYktrFGabGQj0RkyZNci9MvRxx+fTTT+2KK65wqVDFixd3sxqOGjXKzpw5E+djTp065d60wAsAAACAxEv3gcX8+fMtT548rlZi7NixtnjxYitSpEic6//xxx8uBUqBhOoqhgwZYi+++KKNHDkyzseMHj3aBSzepWzZsin0agAAAIDwlO5ToVSHsXv3bjtw4ICrlfj6669dAXexYsXirMs4efKkRUVFWdasWd2yl156yaVHaTtx9Vjo4lGPhYKLxHT5AAAAAOEqKalQ2Syd04hQVapUcZeGDRvahRdeaFOmTLHBgwfHur5GglJthRdUiEaF2rNnj0unypEjxzmPiYyMdBePF2uREgUAAIDM7Mj/LxFITF9Eug8sgulFBfYuBLvqqqts5syZdvbsWYuI+F+m1+bNm13AEVtQEZt//vnHXZMSBQAAAJhrH6vnIt0GFkePHrUtW7b4byt9ae3atVaoUCErXLiwq4to166dCwoOHjxoEyZMsJ07d1rnzp39j+nZs6cbSlZ1EtK3b1979dVX7YEHHrD777/ffvvtN1e83b9//0Tvl+bV2LFjh+XNm9elaMHOSRPT+0OaGBKL4wbng+MGHDdILXzfxH9SX0GF2scJSdPAYvXq1dakSRP/7YEDB7rrXr16uWFjNWTs22+/7eorFGhcdtlltmzZMqtRo4b/Mdu3b/f3TIgavYsWLbIBAwZY7dq1XdChIOPRRx9N9H5pe2XKlEm21xmOFFQQWIDjBnzfIL3idwocN8knoZ6KdFe8jYyBOT7AcQO+b5Ce8TsFjpu0k+6HmwUAAACQ/hFYIEk0etZTTz0VYxQtgOMGKYHvG3DcILXwfZM8SIUCAAAAEDJ6LAAAAACEjMACAAAAQMgILAAAAACEjMACAAAAQMgILAAAAACEjMACMZw5c4Z3BACQbp09ezatdwEZDHNBpx4CC8T4os6aNau7/uGHH2IsB+LCFzaSihMYCEVExP+aLqtWrXLX/E4hLjo29H2TJUuWGMv53Uo5BBaI8UV95MgRa9y4sTVt2tT++usv/3IgmL6Yg7+w+bJGYn7ovRMYu3btsmPHjvGmIck+/PBDu+aaa+zw4cP8TiFW+j1SG0bfN1u2bLG33nrLBaNaHhxoIPnQaoQTHR1tI0eOtJdeeskuueQS++OPP6xQoUK8O4iV98WsL+y9e/falClTXC/X8ePHeccQ/49ORIRt3rzZmjRpYi1btrSGDRvatGnTbN++ff5jC5nbnj177Mcff3T/P336dJzH0eWXX24HDhxI5b1DRqHfKJ3IePDBB61mzZr2yiuvuO+cNm3a2C+//JLWuxe2CCwyodjSEDZs2GBffPGFPffcc3bhhRda8eLF02TfkDF4Z3uGDx9u5cuXd1/Y7dq1s+uuu85++umntN49pGNqMN5www1WsWJFdyLj6quvtjFjxtjQoUPd/ZxJzNz0+/T444+7nnPJnj27u/7qq69c74Sndu3atnLlSndSTEiHQmw+/vhjW7BggX333Xf27bff2rJly2zjxo02duxY27ZtG29aCiCwyER0JjAwDSHwTE+9evWsZ8+e7v85cuRw1//++28a7SnSm9h+tJcsWWJvv/22zZs3z31pq8fixIkTNnr0aP/ZIM4+Z+4GYmyf//Lly9130GuvvWYtWrSw119/3e6++24XcMyaNcutQyMx89KxMXDgQMuVK5e98MILbtn06dNdMPrwww/7U+d0QkPBxcKFC91t0nYzn507d/q/L4LbK973z6JFi9xJjFq1almePHlcz4WyM5QSpe8iJD8Ci0xEZwL15atGX/Pmza1Vq1bWqVMnF9GLugfbtm1rEydOdGeBsmXLRsMQ7gva+9H+559//O+IziAWKFDApSOoEVCpUiV3BlpngxR0kMeaeXknMPSdo6BTuc3ecqVZqlfUO8Eh7du3tzJlyrhGgBoINBIzt4svvtgeeOABe/rpp12tX/fu3W3mzJmuN/Smm25yv2E6AZY7d27/bxQnMTIXfafceOONLkDQ94XaK0rLXbx4sQs+tUzfP4cOHXK9XjpevGyNbt26Wc6cOW3FihXuNicykheBRZgJ/nINzk/V2R3lNletWtXuuusu98eoP7I5c+ZYqVKl7JZbbnFBhboJY9seMh81APXl3LdvX+vXr5/9+eefbrnqKXR85MuXz93W/5s1a2YVKlRwQYe+1Bn9J3PSj7qOk9atW7uG4JdffukCCi1XmuXatWtdTYX3/aIzigULFnTLOKGR+QSfbdZx0qtXLytXrpwNGDDALevQoYP7nTp58qT17t3b1qxZY1WqVHEnMZD56ESEfntmzJjhbo8YMcJ9j9xxxx2ujuKTTz5xy2+++WbX7tH3j4ILr02kNpDXs86JjORFYBFmvPxkpacoQPDyUzXak+iMYN26de3VV1+1Pn36uNSDjh072qhRoywqKsrlyKtxqOXbt293f3A0DjO3SZMmWdmyZd3xoGNDZxC9H/p169a5M9IKPrzGgbqa1WshgWelkXnoGLntttssMjLS/vvf/7peUP3oixqK6vmaMGGCnTp1yv8Y/V8NBXq6wlfwiSrvTLGCSdF3jDcARMmSJe3JJ5+0d99911/Ire8hnanW95DS6JQKs3//fvv777+pzckkx433O6PPv1GjRu4kxfPPP2+///67O4GhDAz1pI8bN842bdrkMjM0QIR6vdSToTbRwYMH3W9U165d0/BVhTEfwsLXX3/t///nn3/uK1eunO/VV1/1LV261Fe3bl3fZ5995u677LLLfAMHDnT/P3nypLves2ePL0+ePL633nrLv6169er5brnlljR5LUgbZ8+ePWfZ9u3bfZdffrlv2rRp59z3999/+zp06OCrUqWK76+//nKPP3XqlK9Jkya+Z555JpX2GmnpzJkzsR4333//va9IkSLuu0V27tzpO3LkiO+3335zt999911fvnz53HfMvHnzfEOHDnXrf/rpp6n+GpDydIzoWInLzJkzfZUqVXK/OzVr1vR98cUXvhMnTvhOnz7ta968ue+qq6465zEjRozwVa5c2T3u0KFDsR6HCB8//vhjjHbOsWPHfLt27fJdf/31rr3z6KOP+u9bsmSJr3Hjxr6+ffu62xs2bPCVLFnSV61aNV+3bt18FSpU8DVo0MAXFRWVJq8l3BFYhIGff/7Z/cF89dVX7ra+jG+//Xb3w62AYfTo0f4g4oEHHnBf3J7o6Gh33aZNG/cHJ2ocvvbaa+7LHZmDjpnYrF271legQAHfsmXLfEePHvV98sknvrfffts3duxY3/Hjx13gUb16dffj3qlTJ1+NGjXcsfjf//431V8DUte///7r//+OHTt8e/fu9d9WoBkZGem75557fDfffLO7XHjhhb6CBQv6Xn/9dbfOO++84xqNakzWqlXL9+WXX/IRhvlxsn79et9TTz3lmzBhgm/58uVu2aRJk3ylSpXyvfLKK74FCxa4Y0UBg26L1suePbtv1qxZMX6zdK2GZq5cudxvIMKbTkKUKVPGt3nzZt8NN9zgu/LKK10wOXnyZHdS4oknnoix/vDhw91JVR1Tsm7dOt8bb7zhu+uuu3wTJ05Mo1eRORBYhAEFAmrkefbt2+e79NJLfXnz5vX17t07xro6O3jxxRf7xo0b51/2zz//uJ6MUaNGpep+I+0FnuXTGcLx48e73q0tW7a4ZbrWD32hQoXcWaG2bdu6wLR48eK+9u3bu3V01ke9XTo79MILL6TZa0HqO3DggAso1RCsWrWq77HHHvP9/vvv7r45c+a4s4Z33nmnCybUi3Hvvfe6QFSBh2fr1q18dGFOvzFdunRxQYDOMOukl84gf/PNN74HH3zQ17Fjxxjr65hR0PnTTz+52/puqVixor/Xw/ve+uOPP3yXXHKJb/bs2WnwqpCaQalOXFxwwQUuyGzXrp3/e+PgwYPupKh6ynU8BAaxN910k1s3cDtIeQQWYUQpUPrhlm3btvleeukl9yOudKjAhsCQIUN8OXPm9L388su+7777zqWtlC1b1n8GyUPXcuahhl/hwoXdmWMFnjqD+J///Mfdp54KnVXUcaTuaPVuqNGYNWvWGGepOV4yF/Uw6PtF6XAKGt577z3fNddc47v77rtdmkIg74ddAegVV1zhjilkDjpjrJ5zHRv6XfJSVa699lrX06mUFPWABh4n+q7RCQydjZZNmzb5IiIifI8//niMbevER7FixfwBCMJDcNrcwoULXVZF/vz53QlT73fHO14UWCpdTm2bQEoH10kPsi9SF4FFBqQGXHAErttqHGbJksWdBRI1DNVlqLPMgXRmWmcW1YjUF7sakvqiR/hTYBl83Hz00Ueuh2vGjBn+5bVr1/bdeOONcaY0DRgwwNe9e3d/ih3C1/z5893JBzUQvZoJUc/Www8/7L+9aNEidyZaP+QKRD3q0VJtxfPPP+96up577rl48+0RXpSie9FFF7n0J/E+e32H6HtH6ZM62yyBv2vqARs2bJj7v05m6Hvql19+8d+vNMxGjRq5BqXOWnNiI2MK7oUKpLos9WipJkKfv9ouSrVVj1bg+jpu7r//fnc8rFy50r98//79rr4CqYvAIoMJ/GNSwZqKl/THJuoa7Ny5s/uy9ugHXoHD9OnT/cu8HFU1CtVdGLhtvpzDk7qI1S2s1BTlqgYWwX377bf+PFSdAdQxpB4tpT89++yzLs1Ox4XOGqlxoLQ59XCREx/edBZY9Q9KWbnuuutcfrPS4gK/f9SgU7DRunVrX+nSpV3+vFJdmjZt6v9uGjNmjL/2Rj1dyFz03aGedAUPgScq1BDUcaX6rRw5cvg+/PBD/306pnRy480334yzIaperzVr1qTSq0ByCzy5oHRufZd4gaWOGX2X6BhRmlNgO0XHiXrLvQwLrz5Qvab6fdPvF9IWgUUGpVFU1C2oH/7A/FR1+RUtWtRfIKkGpYqVlJ/6ww8/+G677TYX7SuSD0QOYnj/qCuNQAGFUlGUYqD6CC8XXvnPXiqdzhKq8agf7T59+rgzRTpuFIwqdU6NAx17CF/6rPUdoWNGZ5U1+peOB32naAQwFUEG0jo6njZu3Ohuq3dDPRcqnvTSWLzAFZmTTlgoFerpp5/210yod33q1Knuts5KKxVTxf7qCVNvqdLsvO8ohC8NLqMia40+qJMP3sAgSuXWMeL1ZgVq1qyZu3gnVb32i7alExm0Z9IWgUUGs2rVKne2WYVtKsTWj71GWunfv7+7//Dhw27kJ5099Hom1DBUAVP58uVdfrM35CPCm4b4VPCpxmDgmT2d8VENxZ9//hlj/V69erlif28gAH2xq+dCOfNe45Lc+PCnPHgFFf369YvRg6k8ZvVEBP5oK7VOJzcGDx7sX6aAVMdcw4YNaRjCT4ODqOGYO3du1ygM7m3Q/erBUO+WAlUNQoLwpRMRCiZ0MkvDT6t3Sr816r1S/Y16IpTmpotXqO31cmgUMAUdSsVUiqXaNnPnziXjIp0gsMhA436r90F/TOp98M70yMcff+zLli2bv05i9erV7gvcm69C1BjwRvoRcpzDl3KPvdoHnSVUakpgA1Ff4PoBV9exgg/vMaq3CRwtTD0deqxG/QkcxQfhy/te0NCNderUcSclRCcxlBKlFDgFDBozXseYAs5WrVq5XlOtq9RLncRQPrR3bAFe6pzOPmuYUO/7SY3HwKGu9Tu1e/fuGLcRnp588kmXQqnjIpCGhNUJLfV4qqdT3zsKPIK/ozQkvn7HFJhoCHSkHwQW6VDgl2lwAKBRDxRcKC8+kHIL9Uem0ViUr6goXuvF1pXMl3V40g+yjoOrr77aP+yegkzlo6oeQmcAVWeh40JnhJQyp3QDb101DjWkrNIRdJZIQYnyXhG+lMvuBQCBk90pxUAFt127dnUFkTpWlOK0ePFid61jSPU33nwUOuZKlCjhGgEKKoDYvP/++y4w9RqCcZ3gSmhCPWRs6i3XSGGBBf3e562TFQ899JD73dLvj2omWrRo4S/cDzwuglO6kT4QWKRjGj2lZ8+evkGDBrmzy6I/NE0G46UeeA0B5T2rC9H7wla6k3LiFWRQkB3+9EWsXivlJmuyskCqsdFkZUqZU2ChbmQdFxo9TJOW6ayR9yWt+gml2Sm1Lq5J8xAelMaks8c6PmI78aBRwvTjrmBVPVqB1Iul4lrR94vS5zR0NRAfpeeq1ktDh9KjlXmpvaI5KbyC/eA2irIv9HuldFxNiKeeUv3fq6mgTZO+RRjSnaioKKtXr55NnjzZatSoYT/99JM99thj9uabb1qhQoVs6NCh9sorr9ivv/5qWbJkUXBotWrVsptvvtkefPBB++uvv6xKlSrWv39/y5Ejh1sH4Wn+/PlWsmRJW7hwoX377bc2d+5cK1OmTIx1nnnmGStatKhdf/319vHHH1vNmjXdcdG4cWO78sor7ZdffrF9+/ZZkSJFbNiwYTZv3jx7+eWXLVu2bGn2upDyChcubK1bt7ZNmzbZ119/7ZadPXvWsmbN6v5/yy23uGNE3znR0dFumb5rTp06ZadPn7YSJUrYyZMn3fJcuXK5YwmIT/bs2e3ee++1rVu32qpVq3izMin9/uh7ZPfu3fbvv//62yj6fpFLL73ULrjgAvvzzz/twgsvtOuuu85effVV++2339z9tGnSNwKLNHbmzJkYf1Dy6aefWoUKFWzz5s32yCOPuMbeunXrbNq0aW79++67zwUOw4cPdw0B749swoQJ9t5777mGgCdwuwg/M2bMcMfAu+++G6Nht3r1aps+fbqdOHHCBR4DBgxwQYj3xSz6Qt+7d6+1adPGihUr5l8eGRmZ6q8DaaNfv34uKNB3i46HiIgI953hfS899dRT9sMPP9iCBQvcbX3XvP/+++77qHv37pYzZ05+5JEk+p7Sb1yHDh145zKpatWq2TXXXON+vxQ8eLy2jH6DdPIiT5487vZLL73kTnbpBCrSPwKLNOL9cOvsoP6/f/9+d1sNwe+++86aNm3qGoz33HOPtWjRwrp06WIzZ8506+vy/PPP26xZs+zzzz/3b1N/hC1btozxPET24X38PPvss+5z/+STT9xtnQXq1auXNWjQwH7//Xd3ZshrQJYqVcpGjx7tbitoVQ+G1unatWsavhKkpQIFCtjtt9/ujgd9v4gCC6/XQj/++v5RT9jUqVNdo1DHkgKOHj168OEhyfSbVKlSJf+xhsxp4MCB7gTYlClT/O0f73dt9uzZVrx4cffdJDpZ2rZt2zTdXyRBWudiZTbBk9BpyDXNYKzceE/9+vVdsZIKIVVA69VXiCYY8gpqtc6IESNS+RUgrfz444+x5sJrdA3NTXH77be7vFTVTGhys2Aa2Ud1GMpvzp49u3++CmRuynvv0qWLOy68EXkCi2c1AECuXLncELSafwAAkrM2UCPJaUCatWvXumGHNViE6v1U50c9RcaTRf8kJRBB8vjyyy9tyJAhLuVp5cqVduzYMdct2Lx5c3vttdfs/vvvt+eee84efvhh/2M2btzo7uvUqZNde+21Lu/ZOyON8KXeCB0rOmszceJEu+iii1xvltJWRCks6qHYsmWLjRs3zn+Wx/vTDuy10lmfnTt3utSXOnXqpNErQnqjfHfVZ+n4GDx4sFu2Z88eGzlypG3bts0dX71797bSpUun9a4CCCNq56h+9OjRo67uS79bL7zwgrVq1Sqtdw3nicAiDSjVqVu3bi5HWUGCim5VmKS6iUWLFrlGY9WqVa127drWt29fu+SSS2z9+vWugLtgwYL2+uuvW/ny5f3bC2xkIrzos1ZQoXqaq666ytVLePUQ27dvd40/NfoUlKpB+OKLL1rnzp1jbGPFihWulqJ9+/YugM2dO3cavRqkV/oxVx2OaieULqcUOZ3UUFCqIFQnPAAgJRw+fNil8e7atcsNXIMMLq27TMJZ8HwRXmqBpqzXJHfeJEGiGbQ1brwmfZGVK1e6VCfNUqox4jXm84ABA1L5FSCt6FjR0Hpt27Z1qXLBvPG9vaFiRbPZ3nDDDb5Nmza521FRUa6LWXMOTJs2LVX3HxmPhim+4oor3BCzSn3SXDgAACQFp7lTJliLMWzjgQMH3LU34so///xjlStXtuPHj/sfc8MNN7geCxUyHTx40J2FVnH28uXL7fHHH3ej+WhkhMACJ4SfDz/80H+saMQdHQs6XpQ6F0hpUUpl0jCy6kIW9Wr8/PPPbvSnQYMGuV4vUa+GCrqB+GiYYg1ZrZHoNGR1YBomAACJQWCRApQ+oIahUp6uvvpqFzToB/ubb75x95UtW9bNQaH5AwJ/1JXepDkrNEeFKO2pbt26bqx5jRmvgCJwxBaEjy+++MIqVqxod911lxt+T3UTojQUHQd33323CzY11LCG3VOqio4ZjarhpTY1bNjQzTugBqFS6jQ3geozAoeSBeKjuW9GjRrlgloAAJKKwCKZeA1Br2BWQze2a9fODdeoiabUO3HjjTe6eorbbrvNDfOoQlzlyXuP0zYURGjMeAUeop4PjwIKho8NL/r8NfmPxnS/8847XQ+FhoXV5HT67DU5kP6v+grV4ZQrV84FC5pA6I033nDrq5fDGwtcNRaa4O6///2vC2qBpOD7BQAQCoq3k0gBQOCPb3DhtBp0SlFRMKHlmqTMowakHqvA4fvvv3czkObLl8+NtqICWxUuKWVFjUONE88EQuFNAYF6shRQaBJE9UoFUxqU5jBRwKmzyd4xp9S4O+64w40olj9/fjehkHrEvPQnAACA1EaPRRLrJoLP6HlBhYb6VC+EhmwUBQpKXRGNdiBKYVHNhBqATZo0cWecL774Yjfx1NatW119hXo1NDILowCHN32+6sW64IILXOAQGFS89dZbdtNNN9mRI0csb968bkhh9VL8/fff/mNOgYRSoJYtW+ZS7tasWUNQAQAA0hQ9Fomg2gavrmHDhg3uTLPy1uvXr281a9Z0xdU6a5wrVy6XA6/GoM5E79u3zwURgdvQ0LGaVVszZ3s027YeKxq/WbNOvv/++64WA+Hb66XjQ4WyCgpUdK25BDS8sJaPGDHCbr31VpcGpftUa6NZ1TV/iY4v9Wrp2FMwqrG/SWEBAABpLVta70BGoIBAI+8o9UT56+ptUM+DRuZRY09F2Cq6Xrx4sWv0ieornn76aRcgKMjQNnbv3u2CCE1wFphGpRFYlDK1ZMkS19Oh0Z8IKsKL6mcUJIgXBCg4Vb2NiqyVwqTjQKlwClQVLHgBaa1ateyDDz6wd955x6XRaS6KBx54wJ8aBQAAkB4QWCTC559/7tJVNHGLZr9WAa16Ip599lkXTKgxqIBAqVAejc7TokULu+eee1xKi+ouNImZGooavScwjUrFuhrlp1KlSq4B6QUnCB9eUKHeKB0/+sx1UU+EAlbNcKzC/iuuuMIFnF6vhtdT1rFjR3c5dOiQq8thQkQAAJDeEFgkgvLZ1YOg2bLVKFTDT70Wmi9ARbRadtlll7n0Fa9Yu3Tp0jZmzBg7ffq0jR8/3s0sWaRIEZdGpboKj9eA1Ig/eh6EZ5G/jhUFEAoadUzos1agqeNGs68r4FBthRdYeIGIAg4FrEqxk8DgFQAAID2heDsRFETooqBAhdXe2WKlt2juCQUcnTt3dnMKaP4AUeMxT548NmnSJDcClHo9dL96LgKHkPUanwQV4SO4yH/Hjh0uvalfv37u+Pn000+tWrVqbjQo1U/UqFHDjRCmtDnV8Cio+Oyzz1zKnIJTBa4AAADpHYFFIqiROHDgQBdIzJkzxy1TQ1C9DCqwVVCgWgsV044dO9bdnz17dnfWWheN3uPVVSgVijSW8KRgUvT5qiZHx8b+/fvtxx9/dPNN6LaK9BVcap4T1VQo9U1atWrlCrN79OjhhhnWpWvXri6Nrm3btmn8ygAAABJGYJFIlStXdnMJvPfee64nQilQGs1HZ51F6U3t27d381go4PACkuDRepg1O/zs2bPHH0yK6mVUXK1jQYGkKBWuQoUK7ng4efKkS4nq06ePK8gW9Uoo8Ni2bZvbzoEDB9xcJgAAABkFNRZJoF4KFWtrxB7lzKunQr0YXpGtJsAbMGCANWvWLOU+MaQbGiHsueeecz0VqqlROpyK+1Vno6GINXmdeqsqVqxoZcqUces+9thj/vqJ2rVruyBDc5go6PBGGCtevHhavzQAAIAko8ciCTRXhUZ5Ug698uHdGxgR4e+F0Cg/gwYN8qc9ITwpELj66qutZ8+ebk6SG264wQUUmhxRk94p/U1F1goqvN4IpTa99tprrjfDCyxUj3PVVVe5oEIKFixIUAEAADIseiySSA1EzYKs3Hg1KnWmOqERgRA+NPu15ihRfcSff/7pn9hQEx+qOHvv3r2ut0LznHgUZPTu3dsVbmuoYR03CkA0vKyK+wEAAMIBPRZJpPx3pUTprLVmSo4NQUX4Uq+CJjy88MILY3z+SmtSwbYms1PgoRS5N954w3+/JsBT+tyQIUPcxIoKSDdv3uy2BQAAEA6y+HR6HUmitywqKspNaIfMR5PUacQmzUvizVsya9Ys69u3rxsmVkPJKoBQ4KGaHAUS0dHRliNHDrcuPVoAACAc0WNxHtQj4QUVxGWZj1Kbbr/9dhdcanhhzcqu0cFGjRplV155pSvuv/HGGy1nzpxuWeCIUUKPFgAACEcEFiGikZh5a22UzqRRnjSyk4YfVo+Fp1GjRnb55Ze79CfVXXCcAACAcEcqFHCeNJO6gomOHTu6AMNLcfKuNQKURhJTyhQAAEC4o8cCOE+XXnqpGy5Ww8ZqMjwFE5oQz+ud0KSKBBUAACCzILAAzpMCiIcffthNkPfiiy+6ZcysDgAAMivmsQBCoBm127dv74qzGe0JAABkZtRYACEioAAAACAVCggZIz4BAAAQWAAAAABIBhRvAwAAAAgZgQUAAACAkBFYAAAAAAgZgQUAAACAkBFYAAAAAAgZgQUAIMXddtttbjJJT+PGje3BBx/knQeAMEJgAQBI1ypUqGDjxo1L690AACSAwAIAAABAyAgsAACJcvbsWRszZoxVqVLFIiMjrVy5cjZy5Eh3365du+zmm2+2ggULWuHChe3GG2+0rVu3hvzOKmVq27ZtNmDAADfLvS7Hjh2zfPny2UcffRRj3Xnz5lnu3Lntn3/+cc+tdWfNmmVXXnml5cyZ02rUqGFLliyJ8ZhffvnFrr/+esuTJ48VL17cevToYQcOHOCIAIDzQGABAEiUwYMHu8Bi6NChrkE+c+ZM1xg/fvy4NWnSxDXOly5dasuXL3f/b9WqlUVHR4f07s6ePdvKlCljw4YNs927d7uLgoeuXbva1KlTY6yr2506dbK8efP6lw0aNMgeeugh++mnn1yA0a5dOzt48KC7T9u69tprrW7durZ69Wr74osvbO/evdalSxeOCAA4D9nO50EAgMxFvQAvv/yyjR8/3nr16uWWVa5c2a6++mp76623LCIiwt58803XS+A18gsUKOB6CFq0aHHez1uoUCHLmjWrCxZKlCjhX37nnXe6QOHPP/+0UqVKuV6G+fPn2+LFi2M8vl+/ftaxY0f3/9dff90FD1OmTLFHHnnE3b7kkkts1KhR/vX1WsqWLWubN2+2qlWrnvd+A0BmRI8FACBBv/76q506dcqaNm16zn1r1qyxLVu2uMa/eip0UUBw8uRJ+/3331Pk3W3QoIFLbXrnnXfc7XfffdelZjVq1CjGeldccYX//9myZbP69eu71+Lt9zfffOPfZ12qV6/u7kup/QaAcEaPBQAgQbly5Yq39uLSSy+1GTNmnHNf0aJFU+zdVa+FelAee+wx10PSu3dvf49JfLx1tN9t27Z16V3BSpYsmSL7DADhjB4LAECCLrzwQhdcfPXVV+fcp3Si3377zYoVK+YKuwMv+fPnD/ndzZEjh505c+ac5d27d7ft27fbK6+8Yhs2bPCnaAX64Ycf/P//999/XS+F1yuh/dbjNJxt8H6rjgMAkDQEFgCABGlUpUcffdTVJij9SKlCarSrXuHWW2+1IkWKuJGgli1bZlFRUfbtt9/aAw88YDt37gz53VXDX0XhGnkqcMQmjUB10003uQJt1XGoyDvYa6+9ZnPmzLGNGzfafffdZ3///bfdfvvt7j7d/uuvv6xbt262atUq++OPP2zRokXu/tgCGQBA/AgsAACJotGgNMLSk08+aRdddJEbXnbfvn12wQUXuIa/ahzU0Nd9apyfOHHCDQsbKo0IpeFjVSwenFp1xx13uJGnvGAh2LPPPutSnerUqeOCnk8++cQFQaKi7++++84FES1btrSaNWu6YEi9LCpGBwAkTRafz+dL4mMAAEgXVNehYECjQyllyqNApGLFim6YWQ0nCwBIeRRvAwAyHM2doZSr0aNHW58+fWIEFQCAtEFfLwAgzSg9KXC41+BLXJ577jnXE6EJ+jRxHwAg7ZEKBQBIM6rDUFF2XDRCEwAgYyCwAAAAABAyUqEAAAAAhIzAAgAAAEDICCwAAAAAhIzAAgAAAEDICCwAAAAAhIzAAgAAAEDICCwAAAAAhIzAAgAAAICF6v8Bmmbe/jrvIGMAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "complete = np.isfinite(adata.X).all(axis=0)\n", "variable = np.zeros(adata.n_vars, dtype=bool)\n", "variable[complete] = np.ptp(adata.X[:, complete], axis=0) > 0\n", "complete_protein_ids = sorted(\n", " adata.var.loc[complete & variable, \"protein_id\"].astype(str)\n", ")\n", "example_protein = complete_protein_ids[0]\n", "pr.pl.box(\n", " adata,\n", " keys=example_protein,\n", " group_by=\"cell_type\",\n", " order=stage_order,\n", " log_transform=2,\n", " show_points=True,\n", " color_scheme=stage_colors,\n", " title=f\"Protein group: {example_protein}\",\n", " xlabel_rotation=30,\n", ")" ] }, { "cell_type": "markdown", "id": "plotting-35", "metadata": {}, "source": [ "**`cv_by_group`**\n", "\n", "Compare the distribution of per-protein coefficients of variation within stages. CV is the standard deviation divided by the mean, computed on raw linear intensities. It is sensitive to low means and does not distinguish technical from biological variability. Requiring at least three measured samples makes the inclusion rule explicit.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.cv_by_group.html)\n" ] }, { "cell_type": "code", "execution_count": 18, "id": "plotting-36", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:31.541170Z", "iopub.status.busy": "2026-09-24T14:12:31.540995Z", "iopub.status.idle": "2026-09-24T14:12:31.749406Z", "shell.execute_reply": "2026-09-24T14:12:31.749095Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pr.pl.cv_by_group(\n", " adata,\n", " group_by=\"cell_type\",\n", " min_samples=3,\n", " order=stage_order,\n", " color_scheme=stage_colors,\n", " xlabel_rotation=30,\n", ")" ] }, { "cell_type": "markdown", "id": "plotting-37", "metadata": {}, "source": [ "**`sample_correlation_matrix`**\n", "\n", "Compare sample similarity and inspect whether samples from the same stage cluster together. This implementation requires complete input, so we pass a temporary view of the fully measured, nonconstant proteins selected above. No values are filled and `adata` is unchanged. Correlations therefore describe this shared subset, not all detected proteins. Pearson correlation on raw intensities can be dominated by high-abundance features; dendrograms determine the displayed order. Here the legacy `ax=True` flag returns the heatmap Axes so we can move its legend.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.sample_correlation_matrix.html)\n" ] }, { "cell_type": "code", "execution_count": 19, "id": "plotting-38", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:31.751166Z", "iopub.status.busy": "2026-09-24T14:12:31.751054Z", "iopub.status.idle": "2026-09-24T14:12:32.054859Z", "shell.execute_reply": "2026-09-24T14:12:32.054390Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "correlation_ax = pr.pl.sample_correlation_matrix(\n", " adata[:, complete_protein_ids].copy(),\n", " method=\"pearson\",\n", " margin_color=\"cell_type\",\n", " color_scheme=stage_colors,\n", " xticklabels=True,\n", " yticklabels=True,\n", " figsize=(10, 9),\n", " ax=True,\n", " show=False,\n", ")\n", "\n", "# Move the stage legend clear of the sample labels.\n", "correlation_ax.get_legend().set_bbox_to_anchor((1.35, 1.0))\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "plotting-39", "metadata": {}, "source": [ "**`binary_heatmap`**\n", "\n", "Inspect detection patterns rather than abundance. For this plot only, `fill_na=0` encodes missing measurements as absent and `threshold=0` encodes positive intensities as present. Consequently, genuine measured zeros and missing values look identical here. `hide_fully_detected=True` focuses the display on incomplete proteins, without filtering `adata`. Thousands of rows form an overview; individual protein labels are hidden.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.binary_heatmap.html)\n" ] }, { "cell_type": "code", "execution_count": 20, "id": "plotting-40", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:32.056563Z", "iopub.status.busy": "2026-09-24T14:12:32.056454Z", "iopub.status.idle": "2026-09-24T14:12:32.234048Z", "shell.execute_reply": "2026-09-24T14:12:32.233695Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pr.pl.binary_heatmap(\n", " adata,\n", " fill_na=0,\n", " threshold=0,\n", " hide_fully_detected=True,\n", " order_by=\"cell_type\",\n", " order=stage_order,\n", " var_id_key=\"protein_id\",\n", " figsize=(10, 7),\n", ")" ] }, { "cell_type": "markdown", "id": "plotting-41", "metadata": {}, "source": [ "**`hclustv_profiles_heatmap`**\n", "\n", "Compare relative abundance profiles across stages. Display up to 50 fully measured, nonconstant proteins, chosen in lexicographic protein-ID order for a small reproducible example. These are not the most variable or significant proteins. The function computes per-stage medians, then standardizes each protein profile internally. Colors show relative within-protein variation, not comparable absolute abundances.\n", "\n", "Row clustering groups similar profiles. Column clustering is disabled so the explicit developmental sequence remains visible. This plot computes its own profiles; no stored clustering results are required. The complete-protein selection avoids missing-value filling inside the heatmap.\n", "\n", "[API reference](https://proteopy.readthedocs.io/en/latest/api/generated/proteopy.pl.hclustv_profiles_heatmap.html)\n" ] }, { "cell_type": "code", "execution_count": 21, "id": "plotting-42", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:32.236907Z", "iopub.status.busy": "2026-09-24T14:12:32.236494Z", "iopub.status.idle": "2026-09-24T14:12:32.345068Z", "shell.execute_reply": "2026-09-24T14:12:32.344804Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pr.pl.hclustv_profiles_heatmap(\n", " adata,\n", " selected_vars=complete_protein_ids[:50],\n", " group_by=\"cell_type\",\n", " summary_method=\"median\",\n", " order=stage_order,\n", " row_cluster=True,\n", " col_cluster=False,\n", " figsize=(8, 8),\n", ")" ] }, { "cell_type": "markdown", "id": "plotting-43", "metadata": {}, "source": [ "**The loaded intensities remain unchanged**\n", "\n", "All transformations and selections above were for plotting. This check\n", "compares both the measurements and their missing-value positions with the\n", "matrix returned by the loader.\n" ] }, { "cell_type": "code", "execution_count": 22, "id": "plotting-44", "metadata": { "execution": { "iopub.execute_input": "2026-09-24T14:12:32.346843Z", "iopub.status.busy": "2026-09-24T14:12:32.346733Z", "iopub.status.idle": "2026-09-24T14:12:32.350184Z", "shell.execute_reply": "2026-09-24T14:12:32.349907Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Raw intensities and missing-value positions are unchanged.\n" ] } ], "source": [ "np.testing.assert_array_equal(adata.X, raw_intensities)\n", "print(\"Raw intensities and missing-value positions are unchanged.\")" ] }, { "cell_type": "markdown", "id": "plotting-45", "metadata": {}, "source": [ "**Other plotting functions**\n", "\n", "The [plotting API](https://proteopy.readthedocs.io/en/latest/api/pl.html)\n", "also includes `volcano` and `differential_abundance_box` for differential\n", "analysis results, and `hclustv_silhouette`, `hclustv_elbow`, and\n", "`hclustv_profile_intensities` for stored clustering results. They require\n", "analysis steps beyond this raw-data overview.\n", "\n", "Peptide counts, peptide/proteoform intensity profiles, sequence coverage,\n", "and COPF score plots require peptide-level data or proteoform annotations.\n", "They are reserved for the next installment.\n", "\n", "## Peptide level\n", "\n", "To be developed in a future installment.\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.0" } }, "nbformat": 4, "nbformat_minor": 5 }