{ "cells": [ { "cell_type": "markdown", "id": "9f53d8f6", "metadata": {}, "source": [ "# Health Professions Associate's Industry Flows - PSEO Analysis\n", "\n", "This notebook downloads, loads, filters, and analyzes data from the Census\n", "Bureau's **Post-Secondary Employment Outcomes (PSEO) Employment Flows**\n", "dataset to examine **which industries** Associate's-level graduates in\n", "**Health Professions and Related Programs (CIP 51)** work in after\n", "graduation, and how that industry picture connects to whether a graduate\n", "stayed in-state or left. This is the companion notebook to the earlier\n", "Health Professions earnings and geography analyses, reusing the same\n", "program (CIP 51), degree level (Associate's), comparison programs, and\n", "anchor state (Colorado) so the three tell one continuous story.\n", "\n", "**Research questions:**\n", "\n", "- **RQ1 - Industry Landscape:** Where do Health Professions grads work,\n", " and how concentrated is that compared to other fields?\n", " - **1a.** Nationally, what are the top industries employing CIP 51\n", " grads at Year 1, and how does that ranking shift by Year 5 and\n", " Year 10?\n", " - **1b.** How concentrated is that industry distribution for CIP 51\n", " versus the pooled \"Other Associate's Programs\" baseline and versus\n", " Education (13), Business (52), and Computer/IT (11)?\n", " - **1c.** Does Colorado's CIP 51 industry mix match the national\n", " picture, or does it diverge - and is that difference large enough\n", " to matter statistically?\n", "- **RQ2 - Staying vs. Leaving:** Does the industry someone works in relate\n", " to whether they stayed in-state?\n", " - **2a.** For Colorado CIP 51 grads, what are the top industries among\n", " those who stayed in-state at Year 1, versus those employed\n", " out-of-state?\n", " - **2b.** Does that in-state/out-of-state industry split change shape\n", " from Year 1 to Year 5 to Year 10?\n", " - **2c.** How does the in-state industry mix compare across CIP 51,\n", " Education, Business, and Computer/IT?\n", "- **RQ3 - Cross-State Comparison:** Does Colorado's industry story\n", " generalize, or is it a local pattern?\n", " - **3a.** How does Colorado's CIP 51 industry composition compare to\n", " the states with the highest and lowest in-state retention rates?\n", " - **3b.** Do high-retention states show a more concentrated industry\n", " mix than low-retention states, or is industry concentration\n", " independent of retention?\n", "\n", "**Statistical approach:** Alongside the descriptive charts, this notebook\n", "uses a **chi-squared test of homogeneity** to ask whether two industry\n", "distributions (e.g. Colorado vs. the rest of the country) differ by more\n", "than chance would suggest, **Cramer's V** to size that difference, and\n", "**two-proportion z-tests** to identify which specific industries are\n", "driving a difference once one is found. See the \"Statistical methods\"\n", "section below for how these are used and their limits.\n", "\n", "**Degree scope:** Associate's degrees only (`degree_level == '03'`), matching\n", "the prior two notebooks in this series.\n", "\n", "**Data source:** U.S. Census Bureau, PSEO Employment Flows (comprehensive,\n", "all-institutions release) - the same underlying file used in the geography\n", "notebook, since industry and geography are both dimensions of the same\n", "flows dataset.\n", "Documentation: https://lehd.ces.census.gov/data/pseo_experimental.html\n", "\n", "**Reusability note:** every function below takes its target CIP code /\n", "degree level / anchor state as an argument rather than hard-coding Health\n", "Professions / Colorado, so this notebook can be pointed at a different\n", "program or state by changing the Configuration cell only.\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "a3805d29", "metadata": {}, "outputs": [], "source": [ "import os\n", "import gzip\n", "import shutil\n", "import urllib.request\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import matplotlib.ticker as mticker\n", "from scipy.stats import chi2_contingency, norm\n" ] }, { "cell_type": "markdown", "id": "26ed8393", "metadata": {}, "source": [ "## Configuration\n", "\n", "Defined here at the top so every downstream cell can reference these values\n", "without running into undefined-variable errors. Change these to repoint the\n", "whole notebook at a different program, degree level, or anchor state.\n", "\n", "- `TARGET_CIP` / `TARGET_LABEL` -- the 2-digit CIP code being analyzed and its display name\n", "- `OTHER_LABEL` -- display name for the pooled \"Other Associate's Programs\" baseline\n", "- `DEGREE_LEVEL` -- degree level filter (`'03'` = Associate's)\n", "- `ANCHOR_STATE` / `ANCHOR_STATE_INSTITUTION_FIPS` -- the case-study state (postal abbreviation and its FIPS code)\n", "- `COMPARISON_CIPS` -- the comparison programs, matching the geography notebook's set\n", "- `MIN_EXPECTED_CELL` -- the minimum expected count per industry cell for the chi-squared test to be reliable; smaller industries are pooled into \"All Other Industries\" before testing\n", "- `TOP_N_INDUSTRIES` -- how many individual industries to show on charts before collapsing the rest into \"All Other Industries\"\n", "- `N_CONTRAST_STATES` -- how many highest- and lowest-retention states to pull in for RQ3\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "d538bff3", "metadata": {}, "outputs": [], "source": [ "TARGET_CIP = \"51\"\n", "TARGET_LABEL = \"Health Professions\"\n", "OTHER_LABEL = \"Other Associate's Programs\"\n", "\n", "DEGREE_LEVEL = \"03\" # Associate's degrees\n", "DEGREE_LABEL = \"Associate's\"\n", "\n", "ANCHOR_STATE = \"CO\" # 2-letter postal abbreviation\n", "ANCHOR_STATE_INSTITUTION_FIPS = \"08\" # Census/FIPS-style state code used in\n", " # the PSEO \"all institutions in state\"\n", " # rollup rows (inst_level == 'S')\n", "\n", "# Same comparison set used in the geography notebook, so the industry story\n", "# builds on the same licensure/portability framing established there.\n", "COMPARISON_CIPS = {\n", " \"13\": \"Education\",\n", " \"52\": \"Business, Mgmt & Marketing\",\n", " \"11\": \"Computer & Info Sciences\",\n", "}\n", "\n", "YEARS = (\"y1\", \"y5\", \"y10\")\n", "YEAR_LABELS = {\"y1\": \"Year 1\", \"y5\": \"Year 5\", \"y10\": \"Year 10\"}\n", "\n", "MIN_EXPECTED_CELL = 5 # conventional chi-squared reliability threshold\n", "TOP_N_INDUSTRIES = 7 # individual industries shown before collapsing to \"Other\"\n", "N_CONTRAST_STATES = 2 # top-N and bottom-N retention states pulled into RQ3\n", "\n", "DATA_DIR = \"data\"\n", "FIGURES_DIR = \"figures\"\n", "os.makedirs(DATA_DIR, exist_ok=True)\n", "os.makedirs(FIGURES_DIR, exist_ok=True)\n" ] }, { "cell_type": "markdown", "id": "0e93a76c", "metadata": {}, "source": [ "## Reference data: NAICS industry sectors and states\n", "\n", "Two stable, published reference sets are hard-coded here rather than\n", "re-derived from the data itself:\n", "\n", "- **`NAICS_SECTOR_LABELS`** -- the standard 2-digit NAICS sector labels\n", " (2022 NAICS structure). The PSEO flows file's `industry` column uses\n", " these same codes when `ind_level == 'S'`. Some sectors share a combined\n", " code (e.g. `31-33` for all of Manufacturing) - this is standard NAICS\n", " practice, not a data-quality issue.\n", "- **`FIPS_TO_STATE`** / **`STATE_NAMES`** -- used to label the state-rollup\n", " rows (`inst_level == 'S'`) for the Colorado case study and the RQ3\n", " cross-state comparison.\n", "\n", "Reference: https://www.census.gov/naics/\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "6819b544", "metadata": {}, "outputs": [], "source": [ "NAICS_SECTOR_LABELS = {\n", " \"11\": \"Agriculture, Forestry, Fishing and Hunting\",\n", " \"21\": \"Mining, Quarrying, and Oil and Gas Extraction\",\n", " \"22\": \"Utilities\",\n", " \"23\": \"Construction\",\n", " \"31-33\": \"Manufacturing\",\n", " \"42\": \"Wholesale Trade\",\n", " \"44-45\": \"Retail Trade\",\n", " \"48-49\": \"Transportation and Warehousing\",\n", " \"51\": \"Information\",\n", " \"52\": \"Finance and Insurance\",\n", " \"53\": \"Real Estate and Rental and Leasing\",\n", " \"54\": \"Professional, Scientific, and Technical Services\",\n", " \"55\": \"Management of Companies and Enterprises\",\n", " \"56\": \"Administrative and Support and Waste Management and Remediation Services\",\n", " \"61\": \"Educational Services\",\n", " \"62\": \"Health Care and Social Assistance\",\n", " \"71\": \"Arts, Entertainment, and Recreation\",\n", " \"72\": \"Accommodation and Food Services\",\n", " \"81\": \"Other Services (except Public Administration)\",\n", " \"92\": \"Public Administration\",\n", "}\n", "\n", "FIPS_TO_STATE = {\n", " \"01\": \"AL\", \"02\": \"AK\", \"04\": \"AZ\", \"05\": \"AR\", \"06\": \"CA\", \"08\": \"CO\",\n", " \"09\": \"CT\", \"10\": \"DE\", \"11\": \"DC\", \"12\": \"FL\", \"13\": \"GA\", \"15\": \"HI\",\n", " \"16\": \"ID\", \"17\": \"IL\", \"18\": \"IN\", \"19\": \"IA\", \"20\": \"KS\", \"21\": \"KY\",\n", " \"22\": \"LA\", \"23\": \"ME\", \"24\": \"MD\", \"25\": \"MA\", \"26\": \"MI\", \"27\": \"MN\",\n", " \"28\": \"MS\", \"29\": \"MO\", \"30\": \"MT\", \"31\": \"NE\", \"32\": \"NV\", \"33\": \"NH\",\n", " \"34\": \"NJ\", \"35\": \"NM\", \"36\": \"NY\", \"37\": \"NC\", \"38\": \"ND\", \"39\": \"OH\",\n", " \"40\": \"OK\", \"41\": \"OR\", \"42\": \"PA\", \"44\": \"RI\", \"45\": \"SC\", \"46\": \"SD\",\n", " \"47\": \"TN\", \"48\": \"TX\", \"49\": \"UT\", \"50\": \"VT\", \"51\": \"VA\", \"53\": \"WA\",\n", " \"54\": \"WV\", \"55\": \"WI\", \"56\": \"WY\",\n", "}\n", "\n", "STATE_NAMES = {\n", " 'AL': 'Alabama', 'AK': 'Alaska', 'AZ': 'Arizona', 'AR': 'Arkansas',\n", " 'CA': 'California', 'CO': 'Colorado', 'CT': 'Connecticut', 'DE': 'Delaware',\n", " 'FL': 'Florida', 'GA': 'Georgia', 'HI': 'Hawaii', 'ID': 'Idaho',\n", " 'IL': 'Illinois', 'IN': 'Indiana', 'IA': 'Iowa', 'KS': 'Kansas',\n", " 'KY': 'Kentucky', 'LA': 'Louisiana', 'ME': 'Maine', 'MD': 'Maryland',\n", " 'MA': 'Massachusetts', 'MI': 'Michigan', 'MN': 'Minnesota', 'MS': 'Mississippi',\n", " 'MO': 'Missouri', 'MT': 'Montana', 'NE': 'Nebraska', 'NV': 'Nevada',\n", " 'NH': 'New Hampshire', 'NJ': 'New Jersey', 'NM': 'New Mexico', 'NY': 'New York',\n", " 'NC': 'North Carolina', 'ND': 'North Dakota', 'OH': 'Ohio', 'OK': 'Oklahoma',\n", " 'OR': 'Oregon', 'PA': 'Pennsylvania', 'RI': 'Rhode Island', 'SC': 'South Carolina',\n", " 'SD': 'South Dakota', 'TN': 'Tennessee', 'TX': 'Texas', 'UT': 'Utah',\n", " 'VT': 'Vermont', 'VA': 'Virginia', 'WA': 'Washington', 'WV': 'West Virginia',\n", " 'WI': 'Wisconsin', 'WY': 'Wyoming', 'DC': 'District of Columbia',\n", "}\n", "\n", "# All CIP codes we need labels/colors for, in one place, so plotting\n", "# functions can share a consistent palette across every chart -- and so the\n", "# palette matches the geography notebook's, for visual continuity.\n", "ALL_GROUPS = {TARGET_CIP: TARGET_LABEL, **COMPARISON_CIPS}\n", "GROUP_COLORS = {\n", " TARGET_CIP: \"#C44E52\", # red -- Health Professions, always the throughline\n", " \"OTHER\": \"#4C72B0\", # blue -- pooled Other Programs baseline\n", " \"13\": \"#DD8452\", # orange -- Education\n", " \"52\": \"#55A868\", # green -- Business\n", " \"11\": \"#8172B2\", # purple -- Computer/IT\n", "}\n" ] }, { "cell_type": "markdown", "id": "d862072e", "metadata": {}, "source": [ "## 1. Download the PSEO data files\n", "\n", "Two files are needed:\n", "\n", "1. **`pseof_all.csv.gz`** -- the comprehensive PSEO Employment Flows file,\n", " covering every participating institution, degree level, CIP code, and\n", " graduation cohort, crossed with industry and geography of employment.\n", " This is the same file the geography notebook used - industry and\n", " geography are both dimensions inside it. Downloaded and unzipped.\n", "2. **`label_cipcode.csv`** -- official CIP code labels, used below only to\n", " spot-check that the display names hard-coded in this notebook match\n", " the Census Bureau's own labels.\n", "\n", "Unlike the geography notebook, we don't need the institution lookup file\n", "here: every analysis in this notebook works from either the state-rollup\n", "rows (`inst_level == 'S'`) or a national sum across all institutions, and\n", "neither requires knowing an individual institution's name.\n" ] }, { "cell_type": "code", "execution_count": 8, "id": "00b6c8df", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Found existing data\\pseof_all.csv, skipping download.\n", "Found existing data\\label_cipcode.csv, skipping download.\n" ] }, { "data": { "text/plain": [ "'data\\\\label_cipcode.csv'" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def download_and_cache(url, dest_path, description):\n", " \"\"\"Download a file to dest_path if it doesn't already exist locally.\"\"\"\n", " if os.path.exists(dest_path):\n", " print(f\"Found existing {dest_path}, skipping download.\")\n", " return dest_path\n", " print(f\"Downloading {description}...\")\n", " urllib.request.urlretrieve(url, dest_path)\n", " print(f\"Downloaded to {dest_path}\")\n", " return dest_path\n", "\n", "\n", "def download_and_unzip_gz(url, gz_path, csv_path, description):\n", " if os.path.exists(csv_path):\n", " print(f\"Found existing {csv_path}, skipping download.\")\n", " return csv_path\n", " print(f\"Downloading {description} (gzipped)...\")\n", " urllib.request.urlretrieve(url, gz_path)\n", " print(\"Download complete. Unzipping...\")\n", " with gzip.open(gz_path, \"rb\") as f_in, open(csv_path, \"wb\") as f_out:\n", " shutil.copyfileobj(f_in, f_out)\n", " print(f\"Unzipped to {csv_path}\")\n", " return csv_path\n", "\n", "\n", "FLOWS_GZ_URL = \"https://lehd.ces.census.gov/data/pseo/latest_release/all/pseof_all.csv.gz\"\n", "CIP_LABELS_URL = \"https://lehd.ces.census.gov/data/schema/latest/label_cipcode.csv\"\n", "\n", "FLOWS_GZ_PATH = os.path.join(DATA_DIR, \"pseof_all.csv.gz\")\n", "FLOWS_CSV_PATH = os.path.join(DATA_DIR, \"pseof_all.csv\")\n", "CIP_LABELS_PATH = os.path.join(DATA_DIR, \"label_cipcode.csv\")\n", "\n", "download_and_unzip_gz(\n", " FLOWS_GZ_URL, FLOWS_GZ_PATH, FLOWS_CSV_PATH,\n", " \"PSEO employment flows file (~several MB compressed)\"\n", ")\n", "download_and_cache(CIP_LABELS_URL, CIP_LABELS_PATH, \"CIP code label file\")\n" ] }, { "cell_type": "markdown", "id": "9b9aa06b", "metadata": {}, "source": [ "## 2. Load and filter the data\n", "\n", "The full flows file runs to roughly 42 million rows. Reading it in one shot\n", "with `pd.read_csv` can exhaust memory on a typical laptop, especially once\n", "pandas has to build the string-based dimension columns across every row.\n", "To avoid that, this notebook reads the file in chunks and filters each\n", "chunk down to the rows this analysis actually needs *before* moving to the\n", "next chunk, so the full unfiltered file is never held in memory at once --\n", "only one chunk at a time, plus the much smaller filtered result.\n", "\n", "A few things that keep this efficient without changing what gets analyzed:\n", "\n", "- **`dtype=\"category\"`** on every dimension column instead of `str` --\n", " category dtype stores each column's small set of repeated values far\n", " more compactly than plain strings at this row count.\n", "- **`usecols`** restricts the read to only the columns this notebook uses,\n", " dropping `status_*`, `*_nme`, and `agg_level_pseo`, none of which are\n", " referenced anywhere below.\n", "- **The filter itself is identical** to what a single-shot filter would\n", " apply: `cip_level == '2'`, `degree_level == DEGREE_LEVEL`,\n", " `grad_cohort_years == 5` (the 5-year cohort window, matching the\n", " geography notebook's convention, since `grad_cohort` codes are reused\n", " across both 3-year and 5-year windows), split further into industry rows\n", " (`ind_level == 'S'`) and all-industries rows (`ind_level == 'A'`,\n", " `industry == '00'`) -- the same two slices described below.\n" ] }, { "cell_type": "code", "execution_count": 10, "id": "b481c316", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loaded CIP label file: 2,737 rows\n", " scanned 42,162,750 rows so far...\n", "Scanned 42,162,750 total rows\n", "Industry rows after filtering: 7,395,600\n", "All-industries rows after filtering: 369,780\n" ] } ], "source": [ "CHUNK_SIZE = 500_000\n", "\n", "# category dtype is far more memory-efficient than str/object for columns\n", "# with a small number of distinct values (all of these dimension columns\n", "# qualify) -- this alone cuts memory use substantially on a 42M-row file.\n", "FLOWS_DTYPES = {\n", " \"inst_level\": \"category\",\n", " \"institution\": \"category\",\n", " \"degree_level\": \"category\",\n", " \"cip_level\": \"category\",\n", " \"cipcode\": \"category\",\n", " \"grad_cohort\": \"category\",\n", " \"grad_cohort_years\": \"category\",\n", " \"geo_level\": \"category\",\n", " \"geography\": \"category\",\n", " \"ind_level\": \"category\",\n", " \"industry\": \"category\",\n", "}\n", "\n", "# Only the columns this notebook actually uses.\n", "USE_COLS = list(FLOWS_DTYPES.keys()) + [\n", " \"y1_grads_emp\", \"y1_grads_emp_instate\",\n", " \"y5_grads_emp\", \"y5_grads_emp_instate\",\n", " \"y10_grads_emp\", \"y10_grads_emp_instate\",\n", "]\n", "\n", "cip_labels = pd.read_csv(CIP_LABELS_PATH, dtype={\"cipcode\": str, \"cip_level\": str})\n", "print(f\"Loaded CIP label file: {cip_labels.shape[0]:,} rows\")\n", "\n", "# Stream the flows file in chunks and keep only rows that pass the analytic\n", "# filters -- this bounds peak memory to roughly one chunk's worth of data\n", "# plus the (much smaller) filtered result, rather than requiring the full\n", "# 42M-row file in memory at once.\n", "industry_chunks, allind_chunks = [], []\n", "total_rows = 0\n", "\n", "reader = pd.read_csv(FLOWS_CSV_PATH, dtype=FLOWS_DTYPES, usecols=USE_COLS,\n", " chunksize=CHUNK_SIZE, low_memory=False)\n", "\n", "for chunk in reader:\n", " total_rows += len(chunk)\n", " is_five_year = pd.to_numeric(chunk[\"grad_cohort_years\"].astype(str), errors=\"coerce\") == 5\n", " is_target_degree = chunk[\"degree_level\"] == DEGREE_LEVEL\n", " is_cip2 = chunk[\"cip_level\"] == \"2\"\n", "\n", " ind_mask = is_five_year & is_target_degree & is_cip2 & (chunk[\"ind_level\"] == \"S\")\n", " allind_mask = (is_five_year & is_target_degree & is_cip2 &\n", " (chunk[\"ind_level\"] == \"A\") & (chunk[\"industry\"] == \"00\"))\n", "\n", " if ind_mask.any():\n", " industry_chunks.append(chunk.loc[ind_mask])\n", " if allind_mask.any():\n", " allind_chunks.append(chunk.loc[allind_mask])\n", " print(f\" scanned {total_rows:,} rows so far...\", end=\"\\r\")\n", "\n", "industry_base = pd.concat(industry_chunks, ignore_index=True)\n", "allind_base = pd.concat(allind_chunks, ignore_index=True)\n", "\n", "print(f\"\\nScanned {total_rows:,} total rows\")\n", "print(f\"Industry rows after filtering: {len(industry_base):,}\")\n", "print(f\"All-industries rows after filtering: {len(allind_base):,}\")\n" ] }, { "cell_type": "markdown", "id": "d6ad751e", "metadata": {}, "source": [ "## 3. Validate hard-coded labels against the official files\n", "\n", "Before relying on the display names configured above, check them against\n", "the Census Bureau's own CIP label file. This mirrors the same \"confirm\n", "before building\" discipline used in the earnings and geography notebooks.\n", "\n", "The raw flows file does not carry a `label_industry` column (confirmed by\n", "inspection), so the NAICS sector labels rely entirely on the hard-coded\n", "`NAICS_SECTOR_LABELS` reference defined above rather than a dynamic check.\n" ] }, { "cell_type": "code", "execution_count": 12, "id": "2a21d876", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "=== CIP code labels ===\n", " CIP 51: our label = 'Health Professions' | official = 'Instructional programs that prepare individuals to practice as licensed professionals and assistants in the health care professions and related clinical sciences and administrative and support services.'\n", " CIP 13: our label = 'Education' | official = 'Instructional programs that focus on the theory and practice of learning and teaching, and related research, administrative and support services.'\n", " CIP 52: our label = 'Business, Mgmt & Marketing' | official = 'Instructional programs that prepare individuals to perform managerial, technical support, and applied research functions related to the operation of commercial and non-profit enterprises and the buying and selling of goods and services.'\n", " CIP 11: our label = 'Computer & Info Sciences' | official = 'Instructional programs that focus on the computer and information sciences and prepare individuals for various occupations in information technology and computer operations fields.'\n", "\n", "=== Industry (NAICS) labels ===\n", "No label_industry column in the raw flows file -- relying on the hard-coded NAICS_SECTOR_LABELS reference above.\n" ] } ], "source": [ "print(\"=== CIP code labels ===\")\n", "cip2 = cip_labels[cip_labels[\"cip_level\"] == \"2\"].set_index(\"cipcode\")[\"label_cipcode\"] \\\n", " if \"label_cipcode\" in cip_labels.columns else cip_labels[cip_labels[\"cip_level\"] == \"2\"].set_index(\"cipcode\").iloc[:, -1]\n", "\n", "for cip, our_label in ALL_GROUPS.items():\n", " official = cip2.get(cip, \"NOT FOUND\")\n", " print(f\" CIP {cip}: our label = {our_label!r:35s} | official = {official!r}\")\n", "\n", "print()\n", "print(\"=== Industry (NAICS) labels ===\")\n", "print(\"No label_industry column in the raw flows file -- \"\n", " \"relying on the hard-coded NAICS_SECTOR_LABELS reference above.\")\n" ] }, { "cell_type": "markdown", "id": "e4f9d019", "metadata": {}, "source": [ "## 4. Split into institution-level and state-rollup slices\n", "\n", "Both `industry_base` and `allind_base` still mix two different row\n", "granularities together, distinguished by `inst_level`:\n", "\n", "- **`inst_level == 'I'`** (individual institutions) -- summed nationally to\n", " build our own graduate-count-weighted national aggregates (RQ1, RQ2c).\n", "- **`inst_level == 'S'`** (Census's own state-rollup rows) -- used directly\n", " for the Colorado case study and the RQ3 cross-state comparison, since\n", " these are Census's own pre-aggregated totals rather than something\n", " recomputed here.\n" ] }, { "cell_type": "code", "execution_count": 14, "id": "5733151c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " industry rows, inst_level=='I': 6,723,000\n", " industry rows, inst_level=='S': 672,600\n", " all-industries rows, inst_level=='I': 336,150\n", " all-industries rows, inst_level=='S': 33,630\n" ] } ], "source": [ "RELEVANT_CIPS = [TARGET_CIP] + list(COMPARISON_CIPS.keys())\n", "\n", "industry_inst_df = industry_base[industry_base[\"inst_level\"] == \"I\"].copy()\n", "industry_state_df = industry_base[industry_base[\"inst_level\"] == \"S\"].copy()\n", "allind_inst_df = allind_base[allind_base[\"inst_level\"] == \"I\"].copy()\n", "allind_state_df = allind_base[allind_base[\"inst_level\"] == \"S\"].copy()\n", "\n", "print(f\" industry rows, inst_level=='I': {len(industry_inst_df):,}\")\n", "print(f\" industry rows, inst_level=='S': {len(industry_state_df):,}\")\n", "print(f\" all-industries rows, inst_level=='I': {len(allind_inst_df):,}\")\n", "print(f\" all-industries rows, inst_level=='S': {len(allind_state_df):,}\")\n" ] }, { "cell_type": "markdown", "id": "f4c57c81", "metadata": {}, "source": [ "## 5. Coverage validation\n", "\n", "Same discipline as the geography notebook: confirm coverage before building\n", "any chart on top of it. Industry-level detail is a finer cut than the\n", "national/state totals used before, so it's worth checking explicitly that\n", "each target CIP has meaningful reporting at each year horizon before\n", "trusting a Year-10 industry breakdown, for example.\n" ] }, { "cell_type": "code", "execution_count": 16, "id": "b5bc9551", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "=== Coverage validation (national institution-level rows) ===\n", "\n", "Health Professions (CIP 51):\n", " Year 1: 20 of 20 industries reporting nonzero grads, 792,691 total employed grads (official)\n", " Year 5: 20 of 20 industries reporting nonzero grads, 558,452 total employed grads (official)\n", " Year 10: 20 of 20 industries reporting nonzero grads, 288,580 total employed grads (official)\n", "\n", "Education (CIP 13):\n", " Year 1: 20 of 20 industries reporting nonzero grads, 52,961 total employed grads (official)\n", " Year 5: 20 of 20 industries reporting nonzero grads, 47,247 total employed grads (official)\n", " Year 10: 20 of 20 industries reporting nonzero grads, 23,917 total employed grads (official)\n", "\n", "Business, Mgmt & Marketing (CIP 52):\n", " Year 1: 20 of 20 industries reporting nonzero grads, 365,684 total employed grads (official)\n", " Year 5: 20 of 20 industries reporting nonzero grads, 299,622 total employed grads (official)\n", " Year 10: 20 of 20 industries reporting nonzero grads, 170,739 total employed grads (official)\n", "\n", "Computer & Info Sciences (CIP 11):\n", " Year 1: 20 of 20 industries reporting nonzero grads, 105,990 total employed grads (official)\n", " Year 5: 20 of 20 industries reporting nonzero grads, 84,150 total employed grads (official)\n", " Year 10: 20 of 20 industries reporting nonzero grads, 46,487 total employed grads (official)\n", "\n", "Recommendation: if Year-10 shows noticeably fewer reporting industries or a much smaller total than Year-1/Year-5 above, treat Year-10 industry detail as directional only.\n" ] } ], "source": [ "def validate_industry_coverage(industry_inst_df, allind_inst_df):\n", " print(\"=== Coverage validation (national institution-level rows) ===\")\n", " for cip, label in ALL_GROUPS.items():\n", " ind_sub = industry_inst_df[\n", " (industry_inst_df[\"cipcode\"] == cip) & (industry_inst_df[\"grad_cohort\"] == \"0000\")\n", " ]\n", " allind_sub = allind_inst_df[\n", " (allind_inst_df[\"cipcode\"] == cip) & (allind_inst_df[\"grad_cohort\"] == \"0000\") &\n", " (allind_inst_df[\"geo_level\"] == \"N\")\n", " ]\n", " print(f\"\\n{label} (CIP {cip}):\")\n", " for yr in YEARS:\n", " emp_col = f\"{yr}_grads_emp\"\n", " n_industries_reporting = ind_sub[ind_sub[emp_col].notna() & (ind_sub[emp_col] > 0)][\"industry\"].nunique()\n", " official_total = allind_sub[emp_col].sum(skipna=True)\n", " print(f\" {YEAR_LABELS[yr]}: {n_industries_reporting} of {len(NAICS_SECTOR_LABELS)} \"\n", " f\"industries reporting nonzero grads, {official_total:,.0f} total employed grads (official)\")\n", "\n", " print(\n", " \"\\nRecommendation: if Year-10 shows noticeably fewer reporting \"\n", " \"industries or a much smaller total than Year-1/Year-5 above, treat \"\n", " \"Year-10 industry detail as directional only.\"\n", " )\n", "\n", "validate_industry_coverage(industry_inst_df, allind_inst_df)\n" ] }, { "cell_type": "markdown", "id": "995b10a3", "metadata": {}, "source": [ "## 6. Core computation functions\n", "\n", "### `compute_national_industry_breakdown`\n", "\n", "National industry breakdown for one CIP code (or a pooled list of CIP\n", "codes), built by summing institution-level rows across every reporting\n", "institution nationally. The percentage-of-total column uses the *official*\n", "all-industries total (Census's own pre-aggregated row) as the denominator,\n", "rather than re-summing across industries, since PSEO's disclosure controls\n", "mean the two won't always match exactly.\n" ] }, { "cell_type": "code", "execution_count": 18, "id": "7d632be6", "metadata": {}, "outputs": [], "source": [ "def _as_cip_list(cip_or_list):\n", " \"\"\"Normalize a single CIP code or a list of CIP codes to a list.\"\"\"\n", " if isinstance(cip_or_list, str):\n", " return [cip_or_list]\n", " return list(cip_or_list)\n", "\n", "\n", "def compute_national_industry_breakdown(industry_inst_df, allind_inst_df, cip_or_list,\n", " year=\"y1\", degree_level=DEGREE_LEVEL, cohort=\"0000\"):\n", " cips = _as_cip_list(cip_or_list)\n", " emp_col = f\"{year}_grads_emp\"\n", " instate_col = f\"{year}_grads_emp_instate\"\n", "\n", " sub = industry_inst_df[\n", " (industry_inst_df[\"cipcode\"].isin(cips)) &\n", " (industry_inst_df[\"grad_cohort\"] == cohort) &\n", " (industry_inst_df[\"degree_level\"] == degree_level) &\n", " (industry_inst_df[\"geo_level\"] == \"N\")\n", " ]\n", " by_industry = sub.groupby(\"industry\", observed=True)[[emp_col, instate_col]].sum(min_count=1)\n", " by_industry = by_industry.rename(columns={emp_col: \"emp\", instate_col: \"instate_emp\"})\n", " by_industry[\"outstate_emp\"] = (by_industry[\"emp\"] - by_industry[\"instate_emp\"]).clip(lower=0)\n", " by_industry[\"industry_label\"] = by_industry.index.map(lambda c: NAICS_SECTOR_LABELS.get(c, c))\n", "\n", " allind_sub = allind_inst_df[\n", " (allind_inst_df[\"cipcode\"].isin(cips)) &\n", " (allind_inst_df[\"grad_cohort\"] == cohort) &\n", " (allind_inst_df[\"degree_level\"] == degree_level) &\n", " (allind_inst_df[\"geo_level\"] == \"N\")\n", " ]\n", " official_total = allind_sub[emp_col].sum(skipna=True)\n", " by_industry[\"pct_of_total\"] = (by_industry[\"emp\"] / official_total * 100) if official_total else np.nan\n", "\n", " return by_industry.sort_values(\"emp\", ascending=False), official_total\n" ] }, { "cell_type": "markdown", "id": "e3d75ef4", "metadata": {}, "source": [ "### `compute_state_industry_breakdown`\n", "\n", "Same idea, but pulling directly from a single state's `inst_level == 'S'`\n", "rollup row per industry, rather than summing individual institutions. Used\n", "for the Colorado case study and the RQ3 cross-state comparison.\n" ] }, { "cell_type": "code", "execution_count": 20, "id": "4a585356", "metadata": {}, "outputs": [], "source": [ "def compute_state_industry_breakdown(industry_state_df, allind_state_df, cip, state_fips,\n", " year=\"y1\", degree_level=DEGREE_LEVEL, cohort=\"0000\"):\n", " emp_col = f\"{year}_grads_emp\"\n", " instate_col = f\"{year}_grads_emp_instate\"\n", "\n", " sub = industry_state_df[\n", " (industry_state_df[\"institution\"] == state_fips) &\n", " (industry_state_df[\"cipcode\"] == cip) &\n", " (industry_state_df[\"grad_cohort\"] == cohort) &\n", " (industry_state_df[\"degree_level\"] == degree_level) &\n", " (industry_state_df[\"geo_level\"] == \"N\")\n", " ].copy()\n", "\n", " by_industry = sub.set_index(\"industry\")[[emp_col, instate_col]].rename(\n", " columns={emp_col: \"emp\", instate_col: \"instate_emp\"}\n", " )\n", " by_industry[\"outstate_emp\"] = (by_industry[\"emp\"] - by_industry[\"instate_emp\"]).clip(lower=0)\n", " by_industry[\"industry_label\"] = by_industry.index.map(lambda c: NAICS_SECTOR_LABELS.get(c, c))\n", "\n", " allind_sub = allind_state_df[\n", " (allind_state_df[\"institution\"] == state_fips) &\n", " (allind_state_df[\"cipcode\"] == cip) &\n", " (allind_state_df[\"grad_cohort\"] == cohort) &\n", " (allind_state_df[\"degree_level\"] == degree_level) &\n", " (allind_state_df[\"geo_level\"] == \"N\")\n", " ]\n", " official_total = allind_sub[emp_col].sum(skipna=True)\n", " by_industry[\"pct_of_total\"] = (by_industry[\"emp\"] / official_total * 100) if official_total else np.nan\n", "\n", " return by_industry.sort_values(\"emp\", ascending=False), official_total\n" ] }, { "cell_type": "markdown", "id": "c76ac020", "metadata": {}, "source": [ "### `compute_state_retention`\n", "\n", "Each state's own in-state retention rate for the target CIP, using Census's\n", "own state-rollup rows. Reused from the geography notebook's logic, and used\n", "here to dynamically pick RQ3's contrast states (rather than hard-coding\n", "specific states this notebook can't verify against the full national file).\n" ] }, { "cell_type": "code", "execution_count": 22, "id": "58661655", "metadata": {}, "outputs": [], "source": [ "def compute_state_retention(allind_state_df, cip, year=\"y1\", degree_level=DEGREE_LEVEL, cohort=\"0000\"):\n", " emp_col = f\"{year}_grads_emp\"\n", " instate_col = f\"{year}_grads_emp_instate\"\n", "\n", " sub = allind_state_df[\n", " (allind_state_df[\"cipcode\"] == cip) &\n", " (allind_state_df[\"grad_cohort\"] == cohort) &\n", " (allind_state_df[\"degree_level\"] == degree_level) &\n", " (allind_state_df[\"geo_level\"] == \"N\")\n", " ].copy()\n", "\n", " sub[\"state_abbr\"] = sub[\"institution\"].map(FIPS_TO_STATE)\n", " sub = sub.dropna(subset=[emp_col, instate_col, \"state_abbr\"])\n", " sub = sub[sub[emp_col] > 0]\n", " sub[\"retention_rate\"] = sub[instate_col] / sub[emp_col]\n", " sub[\"state\"] = sub[\"state_abbr\"].map(STATE_NAMES)\n", "\n", " return sub[[\"state_abbr\", \"state\", emp_col, instate_col, \"retention_rate\"]] \\\n", " .rename(columns={emp_col: \"total_emp\", instate_col: \"instate_emp\"}) \\\n", " .sort_values(\"retention_rate\", ascending=False) \\\n", " .reset_index(drop=True)\n" ] }, { "cell_type": "markdown", "id": "015fc65c", "metadata": {}, "source": [ "## 7. Statistical methods\n", "\n", "Three helper functions support the statistical comparisons described in\n", "the introduction:\n", "\n", "- **`compute_hhi`** -- the Herfindahl-Hirschman Index, a standard\n", " concentration measure (sum of squared percentage shares, scale 0-10,000).\n", " Higher values mean employment is packed into fewer industries.\n", "- **`collapse_sparse_industries`** -- pools any industry with fewer than\n", " `MIN_EXPECTED_CELL` graduates in *either* group into \"All Other\n", " Industries\" before a chi-squared test, since the test's p-value isn't\n", " reliable when expected cell counts are very small.\n", "- **`run_chi2_homogeneity`** -- a chi-squared **test of homogeneity**: are\n", " two (or more) groups drawing from the same underlying industry\n", " distribution, or not? Reports Cramer's V alongside the p-value, since at\n", " PSEO's scale (tens of thousands of grads) even a small, practically\n", " unimportant difference can be statistically significant -- Cramer's V\n", " gives a sense of *how* different, on a 0-1 scale, independent of sample\n", " size.\n", "- **`run_industry_ztests`** -- a follow-up, industry-by-industry\n", " two-proportion z-test, used once a chi-squared test flags an overall\n", " difference, to identify which specific industries are driving it.\n", "\n", "**A framing note, worth keeping in mind when interpreting the results\n", "below:** PSEO is closer to an administrative census of matched graduates\n", "than a random sample. Classical significance testing formally asks \"would\n", "this pattern plausibly arise from sampling noise\" -- a slightly different\n", "question when the data isn't sampled in that sense. These tests are still\n", "a standard, legitimate way to summarize how much two distributions differ;\n", "just read the results as \"how different is this mix\" rather than \"proof\n", "of a real-world effect.\"\n" ] }, { "cell_type": "code", "execution_count": 24, "id": "31516a3f", "metadata": {}, "outputs": [], "source": [ "def compute_hhi(counts):\n", " \"\"\"Herfindahl-Hirschman Index from a Series of counts. Converts to\n", " percentage shares internally, so the result sits on the conventional\n", " 0-10,000 scale (10,000 = all employment in a single industry).\"\"\"\n", " total = counts.sum()\n", " if not total:\n", " return np.nan\n", " shares_pct = counts / total * 100\n", " return float(np.sum(np.square(shares_pct)))\n", "\n", "\n", "def align_industry_counts(breakdown_dict, count_col=\"emp\"):\n", " \"\"\"Combine several groups' industry breakdown tables (as produced by\n", " compute_national/state_industry_breakdown) into one aligned table:\n", " rows = industry, columns = group label. Missing industry/group\n", " combinations are filled with 0.\"\"\"\n", " return pd.DataFrame({label: df[count_col] for label, df in breakdown_dict.items()}).fillna(0)\n", "\n", "\n", "def collapse_sparse_industries(aligned_counts, min_count=MIN_EXPECTED_CELL,\n", " other_label=\"All Other Industries\"):\n", " keep_mask = (aligned_counts >= min_count).all(axis=1)\n", " kept = aligned_counts[keep_mask].copy()\n", " collapsed = aligned_counts[~keep_mask].sum(axis=0)\n", " if collapsed.sum() > 0:\n", " kept.loc[other_label] = collapsed\n", " return kept\n", "\n", "\n", "def run_chi2_homogeneity(aligned_counts_collapsed):\n", " \"\"\"Chi-squared test of homogeneity across groups (columns) over\n", " industry categories (rows). Returns the test statistic, p-value,\n", " degrees of freedom, and Cramer's V.\"\"\"\n", " table = aligned_counts_collapsed.T.values # rows = group, cols = industry\n", " chi2, p, dof, expected = chi2_contingency(table)\n", " n = table.sum()\n", " min_dim = min(table.shape) - 1\n", " cramers_v = np.sqrt(chi2 / (n * min_dim)) if min_dim > 0 and n > 0 else np.nan\n", " return {\"chi2\": chi2, \"p_value\": p, \"dof\": dof, \"cramers_v\": cramers_v, \"n\": n, \"expected\": expected}\n", "\n", "\n", "def run_industry_ztests(aligned_counts, group_a, group_b):\n", " \"\"\"Per-industry two-proportion z-test: is group_a's share of its own\n", " total employment in this industry significantly different from group\n", " b's share? Returns a table sorted by |z|, largest divergence first.\"\"\"\n", " n_a = aligned_counts[group_a].sum()\n", " n_b = aligned_counts[group_b].sum()\n", " rows = []\n", " for industry, row in aligned_counts.iterrows():\n", " c_a, c_b = row[group_a], row[group_b]\n", " p_a = c_a / n_a if n_a else np.nan\n", " p_b = c_b / n_b if n_b else np.nan\n", " p_pool = (c_a + c_b) / (n_a + n_b) if (n_a + n_b) else np.nan\n", " se = (np.sqrt(p_pool * (1 - p_pool) * (1 / n_a + 1 / n_b))\n", " if pd.notna(p_pool) and 0 < p_pool < 1 else np.nan)\n", " z = (p_a - p_b) / se if pd.notna(se) and se > 0 else np.nan\n", " p_value = 2 * (1 - norm.cdf(abs(z))) if pd.notna(z) else np.nan\n", " label = NAICS_SECTOR_LABELS.get(industry, industry)\n", " rows.append({\n", " \"industry\": label,\n", " f\"{group_a}_pct\": p_a * 100 if pd.notna(p_a) else np.nan,\n", " f\"{group_b}_pct\": p_b * 100 if pd.notna(p_b) else np.nan,\n", " \"z\": z, \"p_value\": p_value,\n", " })\n", " out = pd.DataFrame(rows)\n", " out = out.reindex(out[\"z\"].abs().sort_values(ascending=False, na_position=\"last\").index)\n", " return out.reset_index(drop=True)\n" ] }, { "cell_type": "markdown", "id": "9b7299bf", "metadata": {}, "source": [ "## 8. Plotting functions\n", "\n", "### Single-group industry bar chart (RQ1a)\n", "\n", "Top-N industries by share of total employment for one group, with smaller\n", "industries collapsed into \"All Other Industries\".\n" ] }, { "cell_type": "code", "execution_count": 26, "id": "55da2d4a", "metadata": {}, "outputs": [], "source": [ "def _top_n_with_other(df, value_col, top_n=TOP_N_INDUSTRIES, label_col=\"industry_label\"):\n", " df = df.sort_values(value_col, ascending=False)\n", " if len(df) <= top_n:\n", " return df[[label_col, value_col]].reset_index(drop=True)\n", " top = df.iloc[:top_n][[label_col, value_col]]\n", " other_val = df.iloc[top_n:][value_col].sum()\n", " other_row = pd.DataFrame({label_col: [\"All Other Industries\"], value_col: [other_val]})\n", " return pd.concat([top, other_row], ignore_index=True)\n", "\n", "\n", "def plot_industry_bar(breakdown_df, title, save_path=None, top_n=TOP_N_INDUSTRIES,\n", " value_col=\"pct_of_total\", color=\"#C44E52\"):\n", " df_plot = _top_n_with_other(breakdown_df, value_col, top_n=top_n).sort_values(value_col, ascending=True)\n", " fig, ax = plt.subplots(figsize=(9, max(4, len(df_plot) * 0.5)))\n", " ax.barh(df_plot[\"industry_label\"], df_plot[value_col], color=color)\n", " for i, v in enumerate(df_plot[value_col]):\n", " ax.text(v + 0.5, i, f\"{v:.1f}%\", va=\"center\", fontsize=8)\n", " ax.set_xlabel(\"Share of Employed Graduates\")\n", " ax.xaxis.set_major_formatter(mticker.FuncFormatter(lambda v, _: f\"{v:.0f}%\"))\n", " ax.spines[\"top\"].set_visible(False)\n", " ax.spines[\"right\"].set_visible(False)\n", " ax.set_title(title, fontsize=12, fontweight=\"bold\")\n", " fig.tight_layout()\n", " if save_path:\n", " fig.savefig(save_path, dpi=200, bbox_inches=\"tight\")\n", " print(f\"Saved to {save_path}\")\n", " plt.show()\n" ] }, { "cell_type": "markdown", "id": "33aba754", "metadata": {}, "source": [ "### Multi-group industry comparison chart (RQ1c, RQ3a)\n", "\n", "Grouped horizontal bars: one row per industry (ranked by the first group in\n", "`breakdown_dict`, top-N plus \"Other\"), one bar per group. Used to compare\n", "Colorado vs. national, or Colorado vs. contrast states, side by side on the\n", "same industries.\n", "\n", "Colors default to `GROUP_COLORS` for any key that happens to be a CIP code\n", "(e.g. `'51'`), but every call in this notebook actually keys its groups by\n", "state -- `\"CO\"`, `\"Rest of U.S.\"`, state abbreviations -- none of which are\n", "in that dict. An explicit `color_map` can be passed to assign a specific\n", "color per group; anything not covered by `color_map` or `GROUP_COLORS`\n", "falls back to a small palette cycled by position, so groups are always\n", "visually distinguishable rather than silently collapsing to the same gray.\n", "An optional `xlim` keeps two related charts (e.g. the RQ3a highest- and\n", "lowest-retention comparisons) on the same scale so bar lengths are\n", "honestly comparable side by side, and `show_values=True` prints each bar's\n", "value just past its end.\n" ] }, { "cell_type": "code", "execution_count": 28, "id": "47b436f8", "metadata": {}, "outputs": [], "source": [ "_FALLBACK_PALETTE = [\"#4C72B0\", \"#DD8452\", \"#55A868\", \"#8172B2\", \"#937860\", \"#DA8BC3\", \"#8C8C8C\"]\n", "\n", "\n", "def plot_industry_group_comparison(breakdown_dict, title, save_path=None,\n", " top_n=TOP_N_INDUSTRIES, value_col=\"pct_of_total\",\n", " color_map=None, xlim=None, show_values=False):\n", " labels = list(breakdown_dict.keys())\n", " color_map = color_map or {}\n", "\n", " primary_df = breakdown_dict[labels[0]].sort_values(value_col, ascending=False)\n", " top_industries = list(primary_df.index[:top_n])\n", "\n", " rows = []\n", " for code_ in top_industries:\n", " row = {\"industry_label\": NAICS_SECTOR_LABELS.get(code_, code_)}\n", " for lab in labels:\n", " df = breakdown_dict[lab]\n", " row[lab] = df.loc[code_, value_col] if code_ in df.index else 0.0\n", " rows.append(row)\n", "\n", " other_row = {\"industry_label\": \"All Other Industries\"}\n", " for lab in labels:\n", " df = breakdown_dict[lab]\n", " other_val = df.loc[~df.index.isin(top_industries), value_col].sum()\n", " other_row[lab] = other_val\n", " rows.append(other_row)\n", "\n", " plot_df = pd.DataFrame(rows).iloc[::-1].reset_index(drop=True) # reverse for barh top-down order\n", "\n", " y = np.arange(len(plot_df))\n", " n_groups = len(labels)\n", " bar_h = 0.8 / n_groups\n", " fig, ax = plt.subplots(figsize=(10, max(4, len(plot_df) * 0.6)))\n", "\n", " for i, lab in enumerate(labels):\n", " color = color_map.get(lab) or GROUP_COLORS.get(lab) or _FALLBACK_PALETTE[i % len(_FALLBACK_PALETTE)]\n", " offset = (i - (n_groups - 1) / 2) * bar_h\n", " bars = ax.barh(y + offset, plot_df[lab], height=bar_h, color=color, label=lab)\n", " if show_values:\n", " for bar, v in zip(bars, plot_df[lab]):\n", " if v > 0:\n", " ax.text(v + (xlim[1] if xlim else plot_df[labels].values.max()) * 0.01,\n", " bar.get_y() + bar.get_height() / 2, f\"{v:.1f}%\",\n", " va=\"center\", fontsize=6.5)\n", "\n", " ax.set_yticks(y)\n", " ax.set_yticklabels(plot_df[\"industry_label\"])\n", " ax.set_xlabel(\"Share of Employed Graduates\")\n", " ax.xaxis.set_major_formatter(mticker.FuncFormatter(lambda v, _: f\"{v:.0f}%\"))\n", " if xlim:\n", " ax.set_xlim(*xlim)\n", " ax.spines[\"top\"].set_visible(False)\n", " ax.spines[\"right\"].set_visible(False)\n", " ax.legend(frameon=False, fontsize=8, loc=\"upper center\", bbox_to_anchor=(0.5, -0.1), ncol=min(n_groups, 4))\n", " ax.set_title(title, fontsize=12, fontweight=\"bold\")\n", " fig.tight_layout()\n", " if save_path:\n", " fig.savefig(save_path, dpi=200, bbox_inches=\"tight\")\n", " print(f\"Saved to {save_path}\")\n", " plt.show()\n" ] }, { "cell_type": "markdown", "id": "45319826", "metadata": {}, "source": [ "### In-state vs. out-of-state stacked bar (RQ2a)\n", "\n", "One bar per industry, split into in-state and out-of-state employed\n", "counts, sorted by total employment. Uses the target group's own top-N\n", "industries.\n" ] }, { "cell_type": "code", "execution_count": 30, "id": "60c62fb7", "metadata": {}, "outputs": [], "source": [ "def plot_instate_outstate_split(breakdown_df, title, save_path=None, top_n=TOP_N_INDUSTRIES):\n", " df = breakdown_df.sort_values(\"emp\", ascending=False)\n", " if len(df) > top_n:\n", " top = df.iloc[:top_n].copy()\n", " other = pd.DataFrame({\n", " \"instate_emp\": [df.iloc[top_n:][\"instate_emp\"].sum()],\n", " \"outstate_emp\": [df.iloc[top_n:][\"outstate_emp\"].sum()],\n", " \"industry_label\": [\"All Other Industries\"],\n", " })\n", " plot_df = pd.concat([top[[\"industry_label\", \"instate_emp\", \"outstate_emp\"]], other], ignore_index=True)\n", " else:\n", " plot_df = df[[\"industry_label\", \"instate_emp\", \"outstate_emp\"]].reset_index(drop=True)\n", "\n", " plot_df[\"total\"] = plot_df[\"instate_emp\"] + plot_df[\"outstate_emp\"]\n", " plot_df = plot_df.sort_values(\"total\", ascending=True)\n", "\n", " y = np.arange(len(plot_df))\n", " fig, ax = plt.subplots(figsize=(9, max(4, len(plot_df) * 0.5)))\n", " ax.barh(y, plot_df[\"instate_emp\"], color=\"#2E5C8A\", label=\"In-state\")\n", " ax.barh(y, plot_df[\"outstate_emp\"], left=plot_df[\"instate_emp\"], color=\"#D9D9D9\", label=\"Out-of-state\")\n", "\n", " ax.set_yticks(y)\n", " ax.set_yticklabels(plot_df[\"industry_label\"])\n", " ax.set_xlabel(\"Employed Graduates\")\n", " ax.spines[\"top\"].set_visible(False)\n", " ax.spines[\"right\"].set_visible(False)\n", " ax.legend(frameon=False, fontsize=9, loc=\"lower right\")\n", " ax.set_title(title, fontsize=12, fontweight=\"bold\")\n", " fig.tight_layout()\n", " if save_path:\n", " fig.savefig(save_path, dpi=200, bbox_inches=\"tight\")\n", " print(f\"Saved to {save_path}\")\n", " plt.show()\n" ] }, { "cell_type": "markdown", "id": "a879d2c4", "metadata": {}, "source": [ "### Concentration bar chart (RQ1b, RQ2c)\n", "\n", "One bar per group, height = HHI, for comparing how concentrated each\n", "group's industry mix is. Bars are sorted highest-to-lowest so the most\n", "concentrated group is always the reference point on the left, and each\n", "bar is labeled with its exact HHI value.\n" ] }, { "cell_type": "code", "execution_count": 32, "id": "25e58a9d", "metadata": {}, "outputs": [], "source": [ "def plot_hhi_bar(hhi_dict, title, save_path=None, ylabel=\"HHI (0-10,000)\"):\n", " labels = sorted(hhi_dict, key=lambda lab: hhi_dict[lab], reverse=True)\n", " values = [hhi_dict[lab] for lab in labels]\n", " colors = [GROUP_COLORS.get(lab, \"#888888\") for lab in labels]\n", " display_labels = [OTHER_LABEL if lab == \"OTHER\" else ALL_GROUPS.get(lab, lab) for lab in labels]\n", "\n", " fig, ax = plt.subplots(figsize=(7, 5))\n", " bars = ax.bar(display_labels, values, color=colors)\n", " for bar, v in zip(bars, values):\n", " ax.text(bar.get_x() + bar.get_width() / 2, v + max(values) * 0.01, f\"{v:,.0f}\",\n", " ha=\"center\", fontsize=9)\n", " ax.set_ylabel(ylabel)\n", " ax.spines[\"top\"].set_visible(False)\n", " ax.spines[\"right\"].set_visible(False)\n", " ax.set_title(title, fontsize=12, fontweight=\"bold\")\n", " plt.setp(ax.get_xticklabels(), rotation=20, ha=\"right\")\n", " fig.tight_layout()\n", " if save_path:\n", " fig.savefig(save_path, dpi=200, bbox_inches=\"tight\")\n", " print(f\"Saved to {save_path}\")\n", " plt.show()\n" ] }, { "cell_type": "markdown", "id": "510528fe", "metadata": {}, "source": [ "### Concentration-over-time line chart (RQ2b)\n", "\n", "Tracks the HHI of the in-state industry mix and the out-of-state industry\n", "mix across Year 1, Year 5, and Year 10.\n" ] }, { "cell_type": "code", "execution_count": 34, "id": "42c3a9fd", "metadata": {}, "outputs": [], "source": [ "def plot_hhi_trend(hhi_by_year, title, save_path=None, years=YEARS):\n", " fig, ax = plt.subplots(figsize=(8, 5.5))\n", " x = np.arange(len(years))\n", " colors = {\"In-State\": \"#2E5C8A\", \"Out-of-State\": \"#D9822B\"}\n", "\n", " for series_label, values in hhi_by_year.items():\n", " y = [values.get(yr, np.nan) for yr in years]\n", " ax.plot(x, y, marker=\"o\", linewidth=2.4, color=colors.get(series_label, \"#333333\"),\n", " label=series_label)\n", "\n", " ax.set_xticks(x)\n", " ax.set_xticklabels([YEAR_LABELS[yr] for yr in years])\n", " ax.set_ylabel(\"HHI (0-10,000)\")\n", " ax.spines[\"top\"].set_visible(False)\n", " ax.spines[\"right\"].set_visible(False)\n", " ax.legend(frameon=False, fontsize=9)\n", " ax.set_title(title, fontsize=12, fontweight=\"bold\")\n", " ax.grid(axis=\"y\", alpha=0.25)\n", " fig.tight_layout()\n", " if save_path:\n", " fig.savefig(save_path, dpi=200, bbox_inches=\"tight\")\n", " print(f\"Saved to {save_path}\")\n", " plt.show()\n" ] }, { "cell_type": "markdown", "id": "b45aa285", "metadata": {}, "source": [ "### Retention vs. concentration scatter (RQ3b)\n", "\n", "One point per state: x = in-state retention rate, y = industry\n", "concentration (HHI). `state_colors` (built once in RQ3a and reused here)\n", "keeps each highlighted state's color consistent between the RQ3a bar\n", "charts and this scatter, so a state can be tracked visually across both.\n", "Only the states in `label_states` get a text label -- by default, the\n", "anchor state plus RQ3a's contrast states -- since labeling all ~26 points\n", "would crowd the plot without adding much beyond what the RQ3a table\n", "already shows. Each label's offset direction is cycled from a small fixed\n", "list rather than a single fixed offset, which helps in the common case\n", "where two labeled points land close together.\n" ] }, { "cell_type": "code", "execution_count": 36, "id": "ae72252b", "metadata": {}, "outputs": [], "source": [ "_LABEL_OFFSETS = [(7, 7), (7, -12), (-55, 7), (7, 14), (-60, -12), (7, -20)]\n", "\n", "\n", "def plot_retention_concentration_scatter(state_retention_df, hhi_by_state, anchor_state_abbr,\n", " title, save_path=None, state_colors=None,\n", " label_states=None):\n", " df = state_retention_df.copy()\n", " df[\"hhi\"] = df[\"state_abbr\"].map(hhi_by_state)\n", " df = df.dropna(subset=[\"hhi\"])\n", "\n", " state_colors = state_colors or {}\n", " label_states = label_states if label_states is not None else [anchor_state_abbr]\n", "\n", " fig, ax = plt.subplots(figsize=(8, 6))\n", " colors = [state_colors.get(s, \"#4C72B0\") for s in df[\"state_abbr\"]]\n", " sizes = [70 if s in label_states else 40 for s in df[\"state_abbr\"]]\n", " ax.scatter(df[\"retention_rate\"] * 100, df[\"hhi\"], c=colors, s=sizes, alpha=0.9, edgecolor=\"white\")\n", "\n", " for i, abbr in enumerate(label_states):\n", " match = df[df[\"state_abbr\"] == abbr]\n", " if len(match) == 0:\n", " continue\n", " row = match.iloc[0]\n", " offset = _LABEL_OFFSETS[i % len(_LABEL_OFFSETS)]\n", " weight = \"bold\" if abbr == anchor_state_abbr else \"normal\"\n", " ax.annotate(row[\"state\"], (row[\"retention_rate\"] * 100, row[\"hhi\"]),\n", " textcoords=\"offset points\", xytext=offset, fontsize=9, fontweight=weight)\n", "\n", " ax.set_xlabel(\"Year-1 In-State Retention Rate\")\n", " ax.set_ylabel(\"Industry Concentration (HHI)\")\n", " ax.xaxis.set_major_formatter(mticker.FuncFormatter(lambda v, _: f\"{v:.0f}%\"))\n", " ax.spines[\"top\"].set_visible(False)\n", " ax.spines[\"right\"].set_visible(False)\n", " ax.set_title(title, fontsize=12, fontweight=\"bold\")\n", " ax.grid(alpha=0.2)\n", " fig.tight_layout()\n", " if save_path:\n", " fig.savefig(save_path, dpi=200, bbox_inches=\"tight\")\n", " print(f\"Saved to {save_path}\")\n", " plt.show()\n" ] }, { "cell_type": "markdown", "id": "7e7154e9", "metadata": {}, "source": [ "---\n", "## RQ1: Industry Landscape\n", "\n", "### RQ1a: National top industries for Health Professions, Year 1 -> Year 5 -> Year 10\n", "\n", "Where do CIP 51 Associate's grads work nationally, and does that ranking\n", "shift as more time passes after graduation?\n" ] }, { "cell_type": "code", "execution_count": 38, "id": "41a331d3", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Year 1 (n=792,691 employed grads) -- top 5 industries:\n", " Health Care and Social Assistance 85.6%\n", " Educational Services 2.4%\n", " Public Administration 2.1%\n", " Administrative and Support and Waste Management and Remediation Services 2.0%\n", " Retail Trade 1.9%\n", "\n", "Year 5 (n=558,452 employed grads) -- top 5 industries:\n", " Health Care and Social Assistance 82.1%\n", " Educational Services 3.7%\n", " Public Administration 2.7%\n", " Administrative and Support and Waste Management and Remediation Services 2.7%\n", " Retail Trade 1.6%\n", "\n", "Year 10 (n=288,580 employed grads) -- top 5 industries:\n", " Health Care and Social Assistance 80.1%\n", " Educational Services 4.7%\n", " Public Administration 2.9%\n", " Administrative and Support and Waste Management and Remediation Services 2.5%\n", " Finance and Insurance 1.7%\n", "\n", "Saved to figures\\rq1a_national_top_industries_y1.png\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "national_breakdowns = {}\n", "for yr in YEARS:\n", " bdown, total = compute_national_industry_breakdown(industry_inst_df, allind_inst_df, TARGET_CIP, year=yr)\n", " national_breakdowns[yr] = bdown\n", " top5 = bdown.head(5)\n", " print(f\"{YEAR_LABELS[yr]} (n={total:,.0f} employed grads) -- top 5 industries:\")\n", " for code_, row in top5.iterrows():\n", " print(f\" {row['industry_label']:55s} {row['pct_of_total']:5.1f}%\")\n", " print()\n", "\n", "plot_industry_bar(\n", " national_breakdowns[\"y1\"],\n", " title=f\"Top Industries Nationally: {TARGET_LABEL} Grads at Year 1\\n({DEGREE_LABEL} Degrees, All Cohorts)\",\n", " save_path=os.path.join(FIGURES_DIR, \"rq1a_national_top_industries_y1.png\"),\n", ")\n" ] }, { "cell_type": "markdown", "id": "61cfe227", "metadata": {}, "source": [ "### RQ1b: Industry concentration -- Health Professions vs. comparison programs\n", "\n", "How concentrated is CIP 51's industry mix, compared to the pooled \"Other\n", "Associate's Programs\" baseline and to Education, Business, and\n", "Computer/IT? A single dominant industry (like Health Care and Social\n", "Assistance for CIP 51) should produce a high HHI; a field that scatters\n", "across many industries should produce a lower one.\n", "\n", "**Note on \"Other Associate's Programs\":** this baseline excludes Health\n", "Professions *and* all three comparison programs (Education, Business,\n", "Computer/IT) -- it is every remaining 2-digit CIP field at the Associate's\n", "level, pooled together, not a group that already contains the comparison\n", "programs. See `other_cips` below.\n" ] }, { "cell_type": "code", "execution_count": 40, "id": "2505e957", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Health Professions HHI = 7,349\n", "Other Associate's Programs HHI = 897\n", "Education HHI = 1,740\n", "Business, Mgmt & Marketing HHI = 837\n", "Computer & Info Sciences HHI = 863\n", "Saved to figures\\rq1b_concentration_comparison.png\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "other_cips = [c for c in industry_inst_df[\"cipcode\"].unique() if c not in RELEVANT_CIPS + [\"00\"]]\n", "\n", "concentration_breakdowns = {TARGET_CIP: national_breakdowns[\"y1\"]}\n", "concentration_breakdowns[\"OTHER\"], _ = compute_national_industry_breakdown(\n", " industry_inst_df, allind_inst_df, other_cips, year=\"y1\"\n", ")\n", "for cip in COMPARISON_CIPS:\n", " concentration_breakdowns[cip], _ = compute_national_industry_breakdown(\n", " industry_inst_df, allind_inst_df, cip, year=\"y1\"\n", " )\n", "\n", "hhi_by_group = {key: compute_hhi(df[\"emp\"]) for key, df in concentration_breakdowns.items()}\n", "for key, hhi in hhi_by_group.items():\n", " label = OTHER_LABEL if key == \"OTHER\" else ALL_GROUPS.get(key, key)\n", " print(f\"{label:35s} HHI = {hhi:,.0f}\")\n", "\n", "plot_hhi_bar(\n", " hhi_by_group,\n", " title=f\"Industry Concentration (Year 1): {TARGET_LABEL} vs. Comparison Groups\\n({DEGREE_LABEL} Degrees, All Cohorts)\",\n", " save_path=os.path.join(FIGURES_DIR, \"rq1b_concentration_comparison.png\"),\n", ")\n" ] }, { "cell_type": "markdown", "id": "05a2a3eb", "metadata": {}, "source": [ "### RQ1c: Colorado vs. national industry mix -- descriptive and statistical comparison\n", "\n", "Does Colorado's CIP 51 industry mix match the national picture? First, a\n", "side-by-side chart; then a chi-squared test of homogeneity to formally\n", "size how different the two distributions are, using Colorado's own\n", "state-rollup row against a \"Rest of U.S.\" total built by subtracting\n", "Colorado's counts out of the national sum -- so the two groups being\n", "compared are independent of each other.\n" ] }, { "cell_type": "code", "execution_count": 42, "id": "72f934dc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Saved to figures\\rq1c_co_vs_restofus_industry_mix.png\n" ] }, { "data": { "image/png": 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78ePHcssUTbQEANra2gDkP+hlZ2fj/v37BepqaWnhzz//REJCAs6dO4cNGzagT58+AIDQ0FC52dKVTX719PQUllepUkWaIXzDhg3S5He2trbo0KGDUm3n5+vrCzMzMwCAoaEhBg4c+F7tADkJflJSkvT8xIkTn/znx3JZWVlJf1euXFmagT7/45dffgGQM1N8rsWLFyM1NRVCCHTt2rXI7RS2b0qDu7u7XNI7e/ZshfVyk+q8Y/TkyRMp4QUgN0ld3nr5mZmZQUMj55edExMTkZiYqHQbisbur7/+Qnx8PICc4/v+/fvIzs7G9evXC9Q1NTWVvrxKTEyUO9YUvZY/Rn9zDR48GEDOBGtLlizBwYMHAQAdO3aEtbW1VM/d3R3Xrl3D48ePceTIESxZsgQuLi54+/Ytxo8fj7///rvYbRXH09MTWVlZuHHjBlxcXJCZmYng4GBMmjRJYZ+8vb0Vvhays7MxZMgQADnJ8+nTp/HPP/8gNDQUq1atQr169ZCRkYEFCxYgPDwcgPLvYXnljSX/firpfihMmTJl5I6va9euSX+/ffsWd+/elZ4X9+UsALljSyaToUqVKhgyZAhOnjwpJflZWVl4/fr1e8eci0k6ERER/ec0bNgQBgYGAHJ+1icoKAjJyck4dOgQdu7cqXCd3LM7L168QHh4OIQQWLhwoZRM5LVjxw4sXrwYDx48gKurK7p164aWLVtKyx89eiT9bW5uLv39vj8nNGHCBAA5XyBcuHABQE4CkfcsYUno6urip59+QqdOnTBjxoz3/lmh4OBgrF27FkBO4p/7s1+jRo3CrVu35OoWNnv+h3ByckLVqlUBAHfu3MH48eMRHx+PjIwM3L9/H0uXLkX16tWlJCE30QQAAwMDyGQy7NmzBwcOHPhoMQFAWloaXrx4gRcvXsjNep6cnCyV5z2LX5LZ3dXU1DBv3jzp+bJly/Ddd9/h4cOHyMzMxJMnT7Bq1Srp7J+Tk5N05cmLFy8wbdo0JCYmIjIyUu4n7Dp27FjoNnV1ddGqVSsAOVeafPvtt3j58iViY2Mxc+ZMpdrIK+9+0NDQgL6+Pp4+fYrJkycXqKunp4fGjRtL2x4/fjwSEhJw+/ZtzJ8/v0D9j9HfXD4+PrCxsQEA/PTTT8jIyACAAjO+T548Gbt27UJmZiaaNm2Knj17wsnJSYo592qH/L/mUFJqamqoWrUqNm7cKH1xsWjRIkRFRQEAGjVqBAsLCwDA0aNHMX/+fLx8+RJpaWm4c+cO5s6dK8UFAPPmzcOGDRuQlJSEBg0aoGfPnqhRo4a0PPd9LO972MOHD5GQkFBsrA0bNpTWi4iIwPLly5GcnIyTJ08iJCREqufj41PicciloaEhd2XNN998gx07duDw4cPo16+f9GVS2bJlUbt2bale7i9vyGQyTJ8+XSrfunUratSogUWLFuHmzZt49+4dkpOTsWHDBunKDgsLC1haWkrr5H3tlshHuWieiIiI6DNR5p70vPcX5r3nOm/9wmZ3z51YKX87P//8s1Quk8mkief09PQK3Cc5a9asIu/53Ldvn9Ru3knmch+593UWFrsitWvXlupqaGiI//3vf0qNp6J70gtTknvSb968KY2Nk5OTePPmjbh69ao00Z2bm5tISUmR2shdP/89/8Up7r7Tixcvyk1EpeiRG3P+++eBnAn0KlasqPCYeN+Yi5vZP29MQpRs4rhcCxculO4TV/QwNjaW6p49e1buOM7/6Nq1a7Gzu8fExMi9dvI/PDw8FM7urmjsEhIShLW1dYE2nJ2dFa5X2OzueePJ+/opSX+LM3nyZLl1HR0dC8wdkff4yf+wtbWVxqUkr3chCp/dXQj5uSrat28vle/du1fhWCl6DbVo0aLQOoaGhuLvv/+W6uZOMpf3MW3atCLj3759e5HH6JgxY+Tql/SedCGEiI2NFZaWloVuQ0NDQ+zevbvQcc3bh1WrVhX7ul26dKlcW0XNOVIUnkknIiKi/6SxY8di+fLlqFSpEjQ1NeHk5IRFixZh+PDhCutPmDABkydPhoODA7S0tFC5cmXs3r0bdevWLVC3RYsW6N+/PypXrgxjY2OoqanB1NQUXl5e2Llzp9xl6NOnT4evry+srKze+75vQP7edB8fH5QtW/a92/pQqamp6NmzJ1JTU6GhoYH169fDwMAA7u7umDNnDgDg9u3b0lg/f/5cWrdOnTofNZa6devi+vXrGD58OJycnKCtrQ0DAwNUqlQJPXr0QEhIiDRW48ePx8yZM+Ho6AhtbW3UqFEDu3btks7UfknGjBmD69evY+TIkXBzc4O+vj50dHRQoUIFdO3aFStXrpTqNmzYEBEREfDz84OdnR00NTVhYGCA+vXrY9myZdi2bVuxx2alSpUQGRmJkSNHomLFitDS0oKenh5q1qyJ2bNn48SJEwXuES6MiYkJjhw5ghYtWsDQ0BDm5ubw9/fHli1bFNb38PDAsWPH0KBBA2hra8PS0hIjR45EUFCQwvofo7+5Bg8eLFf366+/LjB3xKhRo+Dt7Q1bW1vo6OhIv1c/cOBAnDp1SulxKYmff/5ZutT7wIEDOH78OICc94YrV65gwIABsLe3h6amJoyNjeHq6ooBAwbIjbGfnx86duwIBwcH6OvrQ11dHTY2NujWrRtOnz4tXUUAAOvWrYOXlxeMjY2VjrFbt244f/48evToAWtra2hoaMDY2BheXl7YvHmz3JUN76tChQqIiIjA6NGj4eLiIo2/ra0t+vTpg/DwcHTq1Empttq0aYN58+ahffv2qFixIoyNjaGurg4LCwt4e3tj9+7dGDZs2AfHDAAyIfLNfkJEREREX5yFCxdi7NixAHLu6W3WrFkpR6S8tWvXws/PDzY2Nrh+/brcnAFERP81GsVXISIiIiJVNWDAAJw8eVK6P7Rly5ZfVIIO5Jzpk8lkWLt2LRN0IvrPY5JORERE9AV79OgRHj16BBMTE3h7e2Pp0qWlHVKJbd26tbRDICJSGbzcnYiIiIiIiEhFcOI4IiIiIiIiIhXBJJ2IiIioCNOnTy/yt4u9vLyk5Xl/3/dTiYuLk7bn5eUllb9+/RrTp0/H9OnTFcaRtx8fEmfe3/3NfWhoaMDGxgbdu3fHpUuX3rttZWRnZ2Pq1KmoWLEidHR0IJPJYGJi8km3qYy8x0Fxv2X+JalUqZLcvj558mRph/Te3vs3q/PYvXu39Dr70P2c+3vceX+L+0PlPQ5lMhm0tLRgamoKNzc39O3bF4cOHfpo26JPh/ekExEREf0LvH79GjNmzAAAeHp6KvxC4VPJysrC06dPsWPHDuzZswe7d+9G+/btP8m2Vq1ahVmzZn2Stkne6dOnce/ePbmykJAQeHp6llJEpW/37t1Yu3YtgJyE2NHRsXQDKkZGRgZev36N169fIyoqCps2bYKPjw82bNgAQ0PD0g6PCsEz6URERET0Xk6cOAEhBOLj46Xffs/MzMTo0aOLXTc1NfW9tnnlyhXp75CQEGRnZ+P169fv1dbHFBYWBiEEhBAqn7gpK+8VF7lnn7dv346UlJRSiujDxMXFSfvovyA4OBhZWVmIj49HUFAQLCwsAAD79u1Dnz59Sjk64O3bt6Udgspikk5ERET0iVy7dg2+vr6wtbWFlpYWzMzM0KZNG4SGhsrVi4+Ph6+vL6pUqQJzc3NoamrCyMgIderUwYIFC5CZmVnkdvz8/FC+fHnp+cmTJxVeEp8rKysLc+bMQYUKFaCnp4fatWvj2LFj791Pa2truUt2Y2Nj8eLFCwDylxhHRUWhQ4cOMDIyQpUqVaT69+7dg7+/PxwdHaGlpQUjIyM0bNgQq1atkhKq3Mv8V61aJddvNTU1uT6eOnUKXbp0gbW1NbS0tGBpaYlu3brJJfcAkJiYiBEjRqBChQrQ1taGnp4e7O3t0bZtW2zcuFGq97///Q8DBw6EnZ0dtLS0YGBggAoVKqBz5844evSoVK+wy92FEFi9ejUaNWoEY2NjaGlpwcHBAYMGDSpwltrPz09qY+/evQgICICNjQ0MDQ3RpEmTAn04d+4c2rRpgzJlykBDQwOmpqaoUqUK+vfvj/v37yu59xRLTU3Ftm3bAAD6+vro168fACA5ORnbt28vUH///v3w9PSEqakpNDQ0YG5ujpo1a8Lf3x8JCQlSvZCQENSvXx9GRkbQ1NSEpaUl6tWrh+HDh8slz+np6Zg/fz5q164NAwMD6OjooFKlSggICMDTp08LbD8qKgr+/v4oX748tLW1YWxsjJo1a8r92oGiy93fvXuHr776CjVr1oSFhQW0tLSgr6+P6tWrY+rUqdIXErnHX+5ZdABo1qyZ1F5YWJhUvmfPHnh7e0uv5XLlymHAgAG4e/duseOu7HGpLDU1NVhbW2PQoEE4fvw41NXVAeT87GH+96GSxL13717UrFkTOjo6KF++PObMmYM1a9ZI45H3/SDva+Ps2bPo06cPzMzMoKenJ9V59uwZxo0bh8qVK0NXVxf6+vqoW7cuVqxYUeBLFSEEQkJC0LRpU5iYmEBLSwuOjo4YMWJEgWMjKioK3bp1g7W1NTQ1NWFsbAxnZ2f07NkTly9fLvF4fjaCiIiIiAo1bdo0AUAAEAMHDiyw3NPTU1oeHBwsle/Zs0doampKy/I+ZDKZWLZsmVQ3IiJCYb3cxzfffCPVffDggVTu6ekphBBi4MCBha6bWydvP6ytrQvU09LSEg8ePCh2PBwcHKR1Tpw4IZVfunRJrr3nz58XqF+mTBnpbwcHByGEEOfPnxcGBgaFxt+jRw+RnZ0t1+/C+rh06VIhk8kU1tHU1BT79u2T4u3cuXOh7fn6+kr1atasWWi9H374QeFxkDuO2dnZokePHoWub2BgIMLDw6U28u5HU1PTAvXLlCkjEhMThRBCPH78uMhxO3bsWLH7sih//vmn1Fbv3r1FaGio9NzLy0uu7uXLl4WGhkahsdy9e1cIIcSuXbuKPM4zMjKEEEK8fftWNG7cuNB6VlZW4t69e9L2Dxw4ILS1tRXW7dSpk1Qv77GYKyEhociYWrduLYQQRR5/eV8L3333XZH7+9KlS0WOu7LHZWEKez/K1a5dO2n5yJEjpfKSxL1z506FrzM7Ozvp72nTpimMKe97QO5+iI2NFTY2NoVuv3fv3lJb2dnZonfv3oXWtbGxkV5/b9++Vfhel/tYtWpVseNZWpikExERERUhb3Jb3CP3Q3FqaqqwsLAQAISjo6O4dOmSSEtLE9HR0cLFxUUAELq6ulIi+88//4gdO3aIhw8fipSUFJGWliauX78ubG1tBQChrq4uEhIShBCKk/SiyhX1w9DQUBw9elS8fv1a9O3bVyqfPXt2seOhKEl/+vSpaN++vVTu5OSksH61atVERESESE1NFdevXxdCCOHm5iYtnzRpknj9+rW4cuWK3Af+rVu3Su3lTWTzfknw5MkTKVGrVauWiIqKEmlpaeLy5cvSvrCxsZESQUNDQwFAeHh4iBcvXoi3b9+K2NhYsW7dOrFmzRohhBAvX76UttWtWzeRmJgokpOTxZ07d8TKlSvFrl27pO0rStK3bt0qlTk4OIgrV66I169fyyVEVapUUdi3cuXKiYsXL4oXL14ILy8vqXzTpk1CCCF27Nghlf3666/i3bt34tWrV+LKlSti9uzZ4saNG8Xuy6I0b95can/Xrl0iMzNTWFlZCSDnS6a8X+gEBgZKdbds2SLS09PFs2fPxLlz58TUqVNFfHy8EEKIUaNGSfXOnz8v0tPTRXx8vPjrr7/EhAkTRFZWlhBCiHnz5kn13N3dRUxMjHjx4oXo16+fVN6uXTshRE4iZmlpKZUPGjRIxMXFiTdv3ogzZ86IFStWSHEqStLfvXsnNmzYIGJjY8WbN29Eenq6uHfvntyXM7nHav59lPf4E0L+i6o2bdqIuLg4kZaWJkJDQ4WWlpYAIOrUqVPkuCtzXBaluCR94sSJBcawJHFnZ2fLjePkyZPF69evxenTp4WZmVmxSbqdnZ04efKkSE1NFREREUIIITp06CAACA0NDbFt2zaRmpoq/vnnH7kvuPbv3y+EEGL79u1SmZ+fn4iPjxfv3r0TGzdulMq7d+8uhBDiypUrUllAQIBISUkRiYmJ4saNG2Lx4sUiLCys2PEsLUzSiYiIiIrwPkn6sWPHlKq/fft2IYQQGRkZYv78+aJu3brCyMhI4Vmq3DOuHyNJ//bbb6Xyffv2SeVDhgwpdjzyfkBX9FBXVxd79+5VWP/UqVNybd29e1daVqZMGZGZmSktW7hwobSsX79+UnlhSdKqVauUGvPLly8LIf7/DLmRkZEYOXKkWLZsmThx4oRITk6W2szKypISD2trazFu3DixevVqcfbsWfHu3Tu5vihK0n19faWyxYsXS3UzMjKEubm5tCz3rHDevuWt//vvv0vluV+k5L36wt3dXUydOlVs2LBBXL9+XWRnZxe7H4vy8OFDoaamJo3P27dvhRBCDB8+XNrm9OnTpfq7d++Wyps2bSpmzZoltm7dKmJiYuTaXbRokVTPx8dHzJkzR+zatUs8evRIrl6jRo2kenv27JHKX716Jb02NDQ0xNu3b8Xx48eluhUrVpQ7hvJTlKQLIURQUJBo3LixMDU1lfqd97F582apblFJ+g8//KDUMZj75ZwiyhyXRSlJkt6+ffsSx33nzp1CX7N5v3wqLEn/888/5eJ5+/ZtkVdh5D5yz/rnfU0V9jAwMBBCCPHs2TPpaiYnJycxadIkERISIi5fvlzkcaIKeE86ERERkZIGDhwoTTyV+1A00/U///yjVHu5921/++23GD9+PC5duoSkpCSFE1t9zEmWXF1dpb/19fWlv9+9e/de7amrq8PKygpdu3bFmTNn4OPjo7Be7dq15Z7nHSdbW1vpflkAcpOvKTOeJR3zNWvWoHr16khKSsIff/yBYcOGoVmzZrCwsMCCBQsA5NzPu3nzZlSoUAFPnz5FYGAgvv76azRq1AjW1tbYvHmz0jE5ODhIf2toaMDW1rbI2IvbRzVr1sT8+fNhYmKCiIgIzJw5E76+vqhevTqcnZ1x8+ZNpcZDkbVr1yI7OxsAUL9+fdy5cweRkZGoWrWqXJ3c47RTp04YN24c9PT0cOrUKUyZMgU9e/aEs7Mzateujb///hsAMGzYMPTv3x+amprYt28fvv/+e3Tp0gX29vZo2bIlkpOTixw3U1NTGBkZAciZoPDVq1dy9yC7ubnJHUPKCAwMhL+/P86cOYOEhASp33kp+9pT9hh8+fJlocuUOS4/xPXr16W/K1SoAKBkcee+foCiX7OFyf8e8PLly2Ln3AD+/3WrTKzJyclIS0uDhYUFgoODYW1tjXv37mH27Nnw8/NDnTp1YGdnhxMnThTbVmlhkk5ERET0kVlZWUl/e3t7F0jshRDIzs7GkCFDAADr16+X6u/cuRNpaWkQQqBWrVpKb7Mkv/2sqan5Xuvllzu7e2ZmpvQTbA0aNCi0ft6JogD5cXry5AmysrKk53knX8tbrzB56wwZMqTQMff29gYAuLu749q1a3j8+DGOHDmCJUuWwMXFBW/fvsX48eOlxLJVq1aIjY3FvXv3cODAASxYsADW1tZ4/fo1vv76a7mYi4rp4cOH0t9ZWVl48uRJkf1TZh+NGzcOz58/R2RkJHbs2IEffvgB6urquHfvHsaPH1/ckBXqzz//lP4+duwY3N3d4e7ujuHDh0vlDx48wKlTp6Tn8+fPx6tXr3Dp0iVs3boVI0aMAABcvXoVM2fOBABoaWnhzz//REJCAs6dO4cNGzZIs4yHhobijz/+AFD4uCUkJCApKQlAzhcdZmZmsLa2lpZHRUUpTLKLkve1t3jxYqSmpkIIga5duyqsX9TrJW/cs2fPLvQYdHFxKbQNZY/L9xERESE3QWTnzp1LHHfuDPEA8Pfff8uN94MHD4qNIf97gLm5OTQ0cn4V3NDQUHrvy//InTQvb6ybNm0qNFZtbW0AgK+vL/7++2/cvn0be/bswS+//AIDAwPEx8dj2LBhyg7dZ8cknYiIiOgja9SokfRh9ujRo5g/fz5evnyJtLQ03LlzB3PnzoWTk5NUP/dDKpDzQTUzMxMrV65ERESE0ts0NzeX/n748KHcjNqqysnJSTpj/OLFC0ybNg2JiYmIjIzEwoULpXodO3Ystq22bdtKH8yDg4Px559/IjExEW/fvkVkZCR+/PFHNGzYUKo/efJk7Nq1C5mZmWjatCl69uwp7RMhhJREjxgxAocPH4aWlhZatmyJXr16oWzZsgCAlJSUIs+K5o174cKFiIyMRFJSEqZMmSKt5+bmhooVKyo1Xnndvn0bP/74Iy5dugRra2v4+Pige/fu0hg8evRIqpt31vi8s5Aroui30QuT+xNtJ0+exC+//IJbt27B0dERnTt3lhLAvLHs2LEDixcvxoMHD+Dq6opu3bqhZcuWBerlHbeZM2fi3r17ePXqFcaMGSOdvW/dujV0dHTQqFEjWFpaAsj5lYAhQ4bg0aNHSElJwYULF7By5coi+5D3tWdgYACZTIY9e/bgwIEDCuvnfZ1dv35dLknN2+d58+Zh//79SElJQXJyMsLDwzF69OhCk/9cyh6XyhJC4OnTpwgKCkLr1q2lL5U6dOiA5s2blzjuSpUqSWfMnz17hp9//hlv3rzBmTNnsHr16hLFBgA6Ojpo06YNAODNmzcYNGgQ4uLikJGRgcePH2Pt2rVo1KiR9IVQly5dpHUnTZqEkydP4t27d0hMTERYWBgGDRokfUH04sULjB07FidPnoSxsTHatm2Lnj17wtTUFID8a0TlfKLL6ImIiIj+Fd53dve9e/dKky4V9sg1dOjQAsv09PSkieOQ5/7Xou49r1atWoF2cu8NzduPvHGeOHGiyP7lV9js7srUV+Ts2bNCT0+v0DHq2rWr3D3WRd0TvGzZskJndwf+f0Z5IYSoWLFiofVsbW2l+7DV1dULrVe7dm2pvcJmd+/atWuh6+vp6YmzZ88W27fg4OAC+/P06dNFHlvjxo1TaszyGzRokFQ379wFufLek2xgYCCSk5PFunXriozl999/F0IIMWvWrCLr5c6+n5qaKjw8PAqtZ2lpKXe/+4fM7j5nzpwC66ipqckdH3lfL3kn7FP0Wp40aVKRfVQ0X0Reyh6Xhcl7HBb26Nixo0hKSpJbryRxFza7e7ly5aS/885ZoOi1kdf9+/fl1lX0yD1us7Oz5Sa7VPTIfR97/PhxkfW6detW5FiWJp5JJyIiIvoEfHx8cOXKFQwYMAD29vbSb/S6urpiwIAB2LJli1Q3MDAQY8aMQdmyZaGjowMPDw8cO3asxGdY161bBy8vLxgbG3/s7nwyDRs2REREBPz8/GBnZwdNTU0YGBigfv36WLZsGbZt26b0JflDhw7F6dOn0b17d9jY2EiXRFerVg1Dhw6VO6s6atQoeHt7w9bWFjo6OtDU1ISdnR0GDhyIU6dOQUdHB0DO2TovLy/Y2NhAS0sLWlpaqFixonSGvSgymQzbtm3D8uXL0aBBAxgaGkJDQ0PaTkREhNzZ/ZKoUKECRo4ciVq1aqFMmTJQV1eHnp4eatasiTlz5mDOnDlS3efPnwMAjIyMUKlSpULbzPvb6AAwaNCgAnVcXFykmHN/M7127dr4+uuvUa1aNZiZmUFdXR2GhoZo0KABVq5ciZEjRwIAWrRogf79+6Ny5cowNjaGmpoaTE1N4eXlhZ07d6JDhw4AAF1dXZw4cQJz5syBu7s79PT0oKWlhQoVKmDEiBGIiIiQ60e7du0QERGBr776Co6OjtDS0oKhoSFq1KiB1q1bFzmO48ePx8yZM+Ho6AhtbW3UqFEDu3btQuPGjRXW79q1K6ZNmwZHR0e5s/C5fvnlF+zfvx/t2rWDhYUFNDQ0YGFhgVq1auHbb7/F7Nmzi4xH2eNSWerq6jAxMYGrqyv69u2Lw4cPY8+ePTA0NHzvuLt06YJdu3ahRo0a0NLSgr29PWbNmiXtZwAoU6aM0jGWL18ekZGRmDhxItzc3KCjowNdXV1UqFABPj4+WLZsmXTrj0wmw/r167Fu3To0a9YMpqam0NDQgLW1NerXr48ffvhButXD1NQU48aNg4eHB6ysrKCpqQkdHR24ublh0qRJcrd1qBqZEApmJiEiIiIioi/eu3fvYG5ujtTUVGzYsAF9+/Yt7ZDoC/fmzRtcvHgRTZs2leZOuH37Ntq3b4+4uDioqanh9u3bRd57T0Ur+PUPERERERH9K/z1119ITU1Fv379mKDTR/Hy5Uu0bNkSmpqasLS0xLt37+TmZpg2bRoT9A/EM+lERERERESklNevX2PUqFE4f/48nj59ivT0dFhYWKB+/foYOnRosbcYUPGYpBMRERERERGpCE4cR0RERERERKQimKQTERERERERqQgm6UREREREREQqgkk6ERERERERkYpgkk5ERET/SkIIJCUlgXPkEhHRl4RJOhEREf0rvXnzBsbGxnjz5k1ph0JERKQ0JulEREREREREKoJJOhEREREREZGKYJJOREREREREpCKYpBMRERERERGpCCbpRERERERERCqCSToRERERERGRimCSTkRERERERKQimKQTERERERERqQgm6UREREREREQqgkk6ERERERERkYpgkk5ERERERESkIpikExEREREREakIJulEREREREREKoJJOhEREREREZGKYJJOREREREREpCI0SjsAIiIiok+p5+QD0NTWK+0wiIioFOwL7FTaIZQYz6QTERERERERqQgm6UREREREREQqgkk6ERERERERkYpgkk5ERERERESkIpikExEREREREakIJulEREREREREKoJJOhEREREREZGKYJJOREREREREpCKYpBMRERERERGpCCbpRERERERERCqCSToRUSkJCwuDTCbD69evi6zn6OiIRYsWfZaYvkR+fn7o3LlzqcYwffp01KxZs0TryGQy7N69+5PE8yVsn4iIiBRjkk5ElEdhCZ+yCfWHCAkJgYmJyUdr7+nTpxg1ahQqVKgAbW1t2NnZwcfHB6GhoR9tG1+KFStWoEaNGtDX14eJiQnc3d0xd+7cj9b++PHjP9m4njt3Durq6mjTps1HbTc+Ph5t27ZVqi4TeiIios9Ho7QDICKijy8uLg6NGjWCiYkJ5s2bh+rVqyMjIwNHjhzBiBEjcOfOnfdqNysrCzKZDGpqX853vEFBQRg7dix+++03eHp6Ii0tDdevX8ft27c/2jYMDAxgYGDw0drLa82aNRg1ahRWr16NR48ewd7e/qO0a21t/VHaISIioo/ry/mURUSkYs6dO4emTZtCV1cXdnZ2CAgIQEpKirR8/fr1qFOnDgwNDWFtbY2+ffvi2bNnCtsKCwvDV199hcTERMhkMshkMkyfPl1anpqaikGDBsHQ0BD29vZYuXJlkbENHz4cMpkMFy9eRPfu3eHs7IwqVapg7NixCA8Pl+otWLAA1apVg76+Puzs7DB8+HAkJydLy3PP7u/fvx9ubm7Q1tbGw4cPkZ6ejokTJ6JcuXLQ19dH/fr1ERYWVmRMym7ryJEjcHV1hYGBAdq0aYP4+HipTlZWFsaOHQsTExOYm5tj4sSJEEIUud19+/ahZ8+e8Pf3h5OTE6pUqYI+ffpg1qxZUp3s7GzMnDkTtra20NbWRs2aNXH48GG5dp48eYLevXvDzMwM+vr6qFOnDi5cuACg4OXuly5dQqtWrVCmTBkYGxvD09MTV69eLTJORVJSUrB161YMGzYMHTp0QEhIiNzyhIQE+Pr6wsLCArq6uqhUqRKCg4MBAOnp6Rg5ciRsbGygo6MDR0dHzJ49W1o379nxouo6OjoCALp06QKZTCY9j42NRadOnWBlZQUDAwPUrVsXx48fl4vP0dERv/zyS5HHblHjCuTsv9q1a0NHRwcVKlTAjBkzkJmZWeKxJCIi+lIwSScieg83btyAt7c3unbtiuvXr2PLli04c+YMRo4cKdVJT0/HrFmzcO3aNezevRsPHjyAn5+fwvYaNmyIRYsWwcjICPHx8YiPj8f48eOl5YGBgahTpw4iIiIwfPhwDBs2rNCz4a9evcLhw4cxYsQI6OvrF1ie95J6NTU1/Pbbb7h58ybWrl2Lv/76CxMnTpSrn5qaitmzZ2P16tW4desWLC0t8dVXX+Hs2bPYvHkzrl+/jh49eqBNmza4e/duoWOm7Lbmz5+PdevW4dSpU3j06FGBcVizZg2CgoJw5swZvHr1Crt27Sp0m0DOGePw8HA8fPiw0DqLFy9GYGAg5s+fj+vXr8Pb2xsdO3aU+pOcnAxPT0/8/fff2Lt3L65du4aJEyciOztbYXtv3rzBwIEDcfr0aYSHh6NSpUpo164d3rx5U2Ss+W3ZsgUuLi5wcXFBv379EBwcLPelxJQpU3D79m0cOnQIUVFRWLZsGcqUKQMA+O2337B3715s3boV0dHRWL9+vZRg51dU3UuXLgEAgoODER8fLz1PTk5Gu3btcPz4cURERMDb2xs+Pj549OiRXNtFHbvFjeuRI0fQr18/BAQE4Pbt21ixYgVCQkLw888/K+xHWloakpKS5B5ERERfGpko7hQEEdF/iJ+fH9avXw8dHR258qysLLx79w4JCQkwMTHBgAEDoKurixUrVkh1zpw5A09PT6SkpBRYH8hJdurVq4c3b97AwMAAYWFhaNasmdRmSEgIxowZU+C+d0dHRzRp0gTr1q0DAAghYG1tjRkzZmDo0KEFtnPx4kXUr18fO3fuRJcuXUrU/23btmHYsGF48eIFgJyz21999RUiIyNRo0YNADlnUCtVqoQnT56gbNmy0rotW7ZEvXr18Msvv3zQtu7du4eKFSsCAJYuXYqZM2fi6dOnAICyZcti9OjR+O677wAAmZmZKF++PGrXrl3oPdPx8fHo2rUrwsPD4ezsDA8PD7Rr1w7du3eXLtsvV64cRowYgcmTJ0vr1atXD3Xr1sWSJUuwcuVKjB8/HnFxcTAzMyuwjenTp2P37t2IjIxUGENWVhZMTU2xceNGdOjQAUDOmexdu3YVOeldo0aN0LNnT4wePRqZmZmwsbHBpk2b0LJlSwBAx44dUaZMGaxZs6bAugEBAbh16xaOHz8OmUxWYHne7ZekblGqVKmCYcOGSV9WFXfsFjeuTZs2Rdu2bTFp0iSpbP369Zg4cSL+/vvvAvWnT5+OGTNmFCg/0tYH+pqaRcZORET/DY327CjtEIrFM+lERPk0a9YMkZGRco/Vq1fL1bly5QpCQkKke5ENDAzg7e2N7OxsPHjwAAAQERGBTp06wcHBAYaGhvDy8gKAAmcalVG9enXpb5lMBmtr60Ivnc/97lVRspXfiRMn0KpVK5QrVw6GhoYYMGAAXr58KXfZvpaWltz2r169CiEEnJ2d5fp/8uRJxMbGftC29PT0pAQdAGxsbKR+JiYmIj4+Hh4eHtJyDQ0N1KlTp8g+2tjY4Pz587hx4wYCAgKQkZGBgQMHok2bNsjOzkZSUhL+/vtvNGrUSG69Ro0aISoqCgAQGRkJd3d3hYmkIs+ePcPQoUPh7OwMY2NjGBsbIzk5uUT7Pjo6GhcvXkTv3r2lvvbq1UsuIR82bBg2b96MmjVrYuLEiTh37py0zM/PD5GRkXBxcUFAQACOHj1a6LZKUjdXSkoKJk6cCDc3N5iYmMDAwAB37twp0Meijt3ixvXKlSuYOXOm3HE2ePBgxMfHIzU1tUD9SZMmITExUXo8fvy42H4QERGpGk4cR0SUj76+PpycnOTKnjx5Ivc8OzsbQ4YMQUBAQIH17e3tkZKSgtatW6N169ZYv349LCws8OjRI3h7eyM9Pb3EMWnmOwsok8kKvdS6UqVKkMlkiIqKKvLM58OHD9GuXTsMHToUs2bNgpmZGc6cOQN/f39kZGRI9XR1deUS/uzsbKirq+PKlStQV1eXa7OwydOU3Zaifn6sC76qVq2KqlWrYsSIEThz5gyaNGmCkydPonbt2tK28hJCSGW6urol2pafnx+eP3+ORYsWwcHBAdra2vDw8CjRvg8KCkJmZibKlSsnF5OmpiYSEhJgamqKtm3b4uHDhzhw4ACOHz+OFi1aYMSIEZg/fz5q1aqFBw8e4NChQzh+/Dh69uyJli1bYvv27QW2VZK6uSZMmIAjR45g/vz5cHJygq6uLrp3716gj0Udu8WNa3Z2NmbMmIGuXbsWWKboahVtbW1oa2sX2SYREZGqY5JORPQeatWqhVu3bhVI5nPduHEDL168wJw5c2BnZwcAuHz5cpFtamlpISsr64NjMzMzg7e3N5YsWYKAgIAC96W/fv0aJiYmuHz5MjIzMxEYGChd9r1169Zi23d3d0dWVhaePXuGJk2aKBXT+24rL2NjY9jY2CA8PBxNmzYFkHO5+5UrV1CrVq0SteXm5gYg52ywkZERypYtizNnzkjtAjkTA9arVw9Aztng1atX49WrV0qdTT99+jSWLl2Kdu3aAQAeP34sXdavjMzMTPz5558IDAxE69at5ZZ169YNGzZskC4pt7CwgJ+fH/z8/NCkSRNMmDAB8+fPBwAYGRmhV69e6NWrF7p37442bdoU2oei6mpqahY4Nk+fPg0/Pz/plork5GTExcUp3Ueg+HGtVasWoqOjC32dERER/Rvxcnciovfw3Xff4fz58xgxYgQiIyNx9+5d7N27F6NGjQKQczZdS0sLv//+O+7fv4+9e/fKzSauiKOjI5KTkxEaGooXL14ovJxXWUuXLkVWVhbq1auHHTt24O7du4iKisJvv/0mXS5esWJFZGZmSjGuW7cOy5cvL7ZtZ2dn+Pr6YsCAAdi5cycePHiAS5cuYe7cuTh48KDCdd53W/mNHj0ac+bMwa5du3Dnzh0MHz682N+uHzZsGGbNmoWzZ8/i4cOHCA8Px4ABA2BhYSGNxYQJEzB37lxs2bIF0dHR+P777xEZGYnRo0cDAPr06QNra2t07twZZ8+exf3797Fjxw6cP39e4TadnJywbt06REVF4cKFC/D19S3R2fj9+/cjISEB/v7+0hUAuY/u3bsjKCgIADB16lTs2bMH9+7dw61bt7B//364uroCABYuXIjNmzfjzp07iImJwbZt22BtbS03cWCu4uo6OjoiNDQUT58+RUJCgtTHnTt3IjIyEteuXUPfvn0LvbqjMMWN69SpU/Hnn39i+vTpuHXrFqKiorBlyxb8+OOPJdoOERHRl4RJOhHRe6hevTpOnjyJu3fvokmTJnB3d8eUKVNgY2MDIOfsZkhICLZt2wY3NzfMmTNHOrtZmIYNG2Lo0KHo1asXLCwsMG/evPeOr3z58rh69SqaNWuGcePGoWrVqmjVqhVCQ0OxbNkyAEDNmjWxYMECzJ07F1WrVsWGDRvkfqKrKMHBwRgwYADGjRsHFxcXdOzYERcuXJCuGsjvQ7aV17hx4zBgwAD4+fnBw8MDhoaGxU6O17JlS4SHh6NHjx5wdnZGt27doKOjg9DQUJibmwPImWRt3LhxGDduHKpVq4bDhw9j7969qFSpEoCcqxyOHj0KS0tLtGvXDtWqVcOcOXMKXO6fa82aNUhISIC7uzv69++PgIAAWFpaKt3PoKAgtGzZEsbGxgWWdevWDZGRkbh69Sq0tLQwadIkVK9eHU2bNoW6ujo2b94MIOfWg7lz56JOnTqoW7cu4uLicPDgQYW/cV9c3cDAQBw7dgx2dnZwd3cHkJPYm5qaomHDhvDx8YG3t3eJr2gobly9vb2xf/9+HDt2DHXr1kWDBg2wYMECODg4lGg7REREXxLO7k5ERET/SklJSTA2Nubs7kREJOHs7kRERERERESkNCbpRERERERERCqCSToRERERERGRimCSTkRERERERKQimKQTERERERERqQgm6UREREREREQqgkk6ERERERERkYpgkk5ERERERESkIpikExEREREREakImRBClHYQRERERB9bUlISjI2NkZiYCCMjo9IOh4iISCk8k05ERERERESkIpikExEREREREakIJulEREREREREKoJJOhEREREREZGKYJJOREREREREpCKYpBMRERERERGpCCbpRERERERERCpCo7QDICIiIvqUek4+AE1tvUKX7wvs9BmjISIiKhrPpBMRERERERGpCCbpRERERERERCqCSToRERERERGRimCSTkRERERERKQimKQTERERERERqQgm6UREREREREQqgkk6ERERERERkYpgkk5ERERERESkIpikExEREREREakIJulEREREREREKuKzJOnTp09HzZo1P6iNuLg4yGQyREZGftbtfkzv0wdV4uXlhTFjxpR2GP96HGf60nzp722KhIWFQSaT4fXr1wCAkJAQmJiYfHC7H6sdVebn54fOnTuXdhhERERfrPdK0s+dOwd1dXW0adPmY8dTKDs7O8THx6Nq1apKrzN+/HiEhoYqVfdjJ/SKPqS8Tx++JFlZWZg9ezYqV64MXV1dmJmZoUGDBggODi7t0EpEJpNh9+7dpR2GQnfu3IFMJsOFCxfkyuvXrw9tbW2kpqZKZenp6dDT08PKlSs/eLuOjo5YtGjRB7cTEhICmUwGV1fXAsu2bt0KmUwGR0fHD97Of82XkPh5eXlBJpNBJpNBS0sLFStWxKRJk5CWllbaoSmlV69eiImJKdE6il4379PO+7h//z769OmDsmXLQkdHB7a2tujUqdNn2fbixYsREhLyybdDRET0b/VeSfqaNWswatQonDlzBo8ePfrYMSmkrq4Oa2traGhoKL2OgYEBzM3NP2ocGRkZ773u+/ThSzJ9+nQsWrQIs2bNwu3bt3HixAkMHjwYCQkJpR2aUtLT00s7hGJVrlwZNjY2OHHihFSWnJyMiIgIWFpa4ty5c1L5hQsX8PbtWzRr1qw0Qi2Uvr4+nj17hvPnz8uVr1mzBvb29qUUFX0OgwcPRnx8PO7du4d58+ZhyZIlmD59emmHpRRdXV1YWlqqTDtFSU9PR6tWrZCUlISdO3ciOjoaW7ZsQdWqVZGYmPhB7SrD2NhY5b80IiIiUmUlTtJTUlKwdetWDBs2DB06dFD4bfmcOXNgZWUFQ0ND+Pv74927d3LLc88y//LLL7CysoKJiQlmzJiBzMxMTJgwAWZmZrC1tcWaNWukdfJfTpl7KWJoaCjq1KkDPT09NGzYENHR0dI6+c+Oh4WFoV69etDX14eJiQkaNWqEhw8fIiQkBDNmzMC1a9ekMz25/ZLJZFi+fDk6deoEfX19/PTTT8jKyoK/vz/Kly8PXV1duLi4YPHixXLbXbt2Lfbs2SO1FxYWJteH7Oxs2NraYvny5XJjc/XqVchkMty/fx8AkJiYiG+++QaWlpYwMjJC8+bNce3atSL30XfffQdnZ2fo6emhQoUKmDJlityXC7njsm7dOjg6OsLY2Bi9e/fGmzdv5PbzgAEDYGBgABsbGwQGBha5TQDYt28fhg8fjh49eqB8+fKoUaMG/P39MXbsWKmOojNLNWvWlPugLpPJsGzZMrRt2xa6urooX748tm3bJi3PHcfNmzejYcOG0NHRQZUqVRAWFibX7smTJ1GvXj1oa2vDxsYG33//PTIzM6XlXl5eGDlyJMaOHYsyZcqgVatW0lncLl26FHtWt7TG2cvLS66vp0+fhrOzMzp27ChXHhYWhnLlyqFSpUq4dOkSWrVqhTJlysDY2Bienp64evWqXLvTp0+Hvb09tLW1UbZsWQQEBEjbe/jwIb799lvpeM517tw5NG3aFLq6urCzs0NAQABSUlKKjF9DQwN9+/aVe30/efIEYWFh6Nu3r1zd2NhYdOrUCVZWVjAwMEDdunVx/PhxuTqOjo745ZdfMGjQIBgaGsLe3r7A1QPF7SsA+Omnn2BpaQlDQ0N8/fXX+P777wtcXRMcHAxXV1fo6OigcuXKWLp0qbQs97jcunUrmjRpAl1dXdStWxcxMTG4dOkS6tSpAwMDA7Rp0wbPnz8vcbs7d+5Es2bNoKenhxo1akhfcoSFheGrr75CYmKitH8KS3w/1nhevHgR7u7u0NHRQZ06dRAREaFwe/np6enB2toa9vb26NatG1q1aoWjR49Ky4UQmDdvHipUqABdXV3UqFED27dvl5bnvu8fOXIE7u7u0NXVRfPmzfHs2TMcOnQIrq6uMDIyQp8+feSuKimuXQA4ePAgnJ2doauri2bNmiEuLk5uef6rFYoby8JeN4queli2bBkqVqwILS0tuLi4YN26dXLLZTIZVq9ejS5dukBPTw+VKlXC3r17Cx3n27dv4/79+1i6dCkaNGgABwcHNGrUCD///DPq1q0r1fvf//6HXr16wdTUFObm5ujUqZNcv3P/V8+ePRtly5aFs7MzJk2ahAYNGhTYZvXq1TFt2jS59XJlZ2dj7ty5cHJygra2Nuzt7fHzzz8rHUdh/7uJiIj+tUQJBQUFiTp16gghhNi3b59wdHQU2dnZ0vItW7YILS0tsWrVKnHnzh3xww8/CENDQ1GjRg2pzsCBA4WhoaEYMWKEuHPnjggKChIAhLe3t/j5559FTEyMmDVrltDU1BSPHj0SQgjx4MEDAUBEREQIIYQ4ceKEACDq168vwsLCxK1bt0STJk1Ew4YNpe1MmzZN2m5GRoYwNjYW48ePF/fu3RO3b98WISEh4uHDhyI1NVWMGzdOVKlSRcTHx4v4+HiRmpoqhBACgLC0tBRBQUEiNjZWxMXFifT0dDF16lRx8eJFcf/+fbF+/Xqhp6cntmzZIoQQ4s2bN6Jnz56iTZs2UntpaWkF+jBu3DjRuHFjufEdN26c8PDwEEIIkZ2dLRo1aiR8fHzEpUuXRExMjBg3bpwwNzcXL1++LHQfzZo1S5w9e1Y8ePBA7N27V1hZWYm5c+fKjYuBgYHo2rWruHHjhjh16pSwtrYWkydPluoMGzZM2NraiqNHj4rr16+LDh06CAMDAzF69OhCt+vt7S2aNm0qnj17VmgdBwcHsXDhQrmyGjVqiGnTpknPAQhzc3OxatUqER0dLX788Uehrq4ubt++LYT4/2PB1tZWbN++Xdy+fVt8/fXXwtDQULx48UIIIcSTJ0+Enp6eGD58uIiKihK7du0SZcqUkduOp6enMDAwEBMmTBB37twRUVFR4tmzZwKACA4OFvHx8UX2pbTGeeXKlUJfX19kZGQIIYSYMGGCGDFihNiyZYvc8d+sWTPRr18/IYQQoaGhYt26deL27dvi9u3bwt/fX1hZWYmkpCQhhBDbtm0TRkZG4uDBg+Lhw4fiwoULYuXKlUIIIV6+fClsbW3FzJkzpeNZCCGuX78uDAwMxMKFC0VMTIw4e/ascHd3F35+foXGHhwcLIyNjUVERIQwNDQUKSkp0lh26tRJLFy4UDg4OEj1IyMjxfLly8X169dFTEyM+OGHH4SOjo54+PChVMfBwUGYmZmJJUuWiLt374rZs2cLNTU1ERUVpfS+Wr9+vdDR0RFr1qwR0dHRYsaMGcLIyEjufWvlypXCxsZG7NixQ9y/f1/s2LFDmJmZiZCQECHE/x+XlStXFocPHxa3b98WDRo0ELVq1RJeXl7izJkz4urVq8LJyUkMHTr0vdrdv3+/iI6OFt27dxcODg4iIyNDpKWliUWLFgkjIyNp/7x580bh+H+M8UxOThYWFhaiV69e4ubNm2Lfvn2iQoUKcu9tinh6esod15GRkcLKykrUr19fKps8ebI0frGxsSI4OFhoa2uLsLAwIcT/v+83aNBAbjw9PT1F69atxdWrV8WpU6eEubm5mDNnjtLtPnr0SGhra4vRo0eLO3fuiPXr1wsrKysBQCQkJAgh/v/YVXYsC3vd5G9n586dQlNTUyxZskRER0eLwMBAoa6uLv766y+pTu773caNG8Xdu3dFQECAMDAwKPT/wJMnT4SampqYP3++yMzMVFgnJSVFVKpUSQwaNEhcv35d3L59W/Tt21e4uLiItLQ0IUTO/2oDAwPRv39/cfPmTXHjxg1x48YNAUDcu3dPauvmzZsCgIiOjpbW69Spk7R84sSJwtTUVISEhIh79+6J06dPi1WrVikVR1H/u5WRmJiY8/lixEbRYezuQh9ERESqpMRJesOGDcWiRYuEEDmJb5kyZcSxY8ek5R4eHnIfQIUQon79+gWSdAcHB5GVlSWVubi4iCZNmkjPMzMzhb6+vti0aZMQovAk/fjx49I6Bw4cEADE27dvhRDySfrLly8FAOlDWX556+YFQIwZM6aYURFi+PDholu3bnJ9zPshRVEfrl69KmQymYiLixNCCJGVlSXKlSsnlixZIoTISayMjIzEu3fv5NqpWLGiWLFiRbEx5Zo3b56oXbu29HzatGlCT09PStCEyEn0cj8sv3nzRmhpaYnNmzdLy1++fCl0dXWLTB5v3bolXF1dhZqamqhWrZoYMmSIOHjwoFwdZZN0RcfQsGHDhBD/P455P4RnZGQIW1tbKfGaPHmycHFxkfsCacmSJcLAwEA67jw9PUXNmjUL9AOA2LVrV6H9LMznGueYmBgBQJw7d04IIUTdunXF1q1bxdOnT4WWlpZISUkRaWlpQldXVwQFBSlsIzMzUxgaGop9+/YJIYQIDAwUzs7OIj09XWF9Rfutf//+4ptvvpErO336tFBTU5Neg/nlTVBq1qwp1q5dK7Kzs0XFihXFnj17CiTpiri5uYnff/9dLrbcLyOEyPlyy9LSUixbtqzQNvLvq/r164sRI0bI1WnUqJHce4KdnZ3YuHGjXJ1Zs2ZJX6rlHperV6+Wlm/atEkAEKGhoVLZ7NmzhYuLywe1e+vWLQFASpzzJ34lUdLxXLFihTAzM5O+YBFCiGXLlimVpGtqagp9fX2hpaUlAAg1NTWxfft2IURO8q+joyMd17n8/f1Fnz59hBCK3/dnz54tAIjY2FipbMiQIcLb21vpdidNmiRcXV3l3i++++67IpN0RRSNZf7XTf52GjZsKAYPHixXp0ePHqJdu3bScwDixx9/lJ4nJycLmUwmDh06VGgsf/zxh9DT0xOGhoaiWbNmYubMmXJjFBQUVOA9Mvd948iRI0KInP9jVlZWUtKeq3r16mLmzJnS80mTJom6detKz/P+/0tKShLa2tpSUp5fcXEU9787v3fv3onExETp8fjxYybpRET0xSnR5e7R0dG4ePEievfuDSDnstVevXrJXbYaFRUFDw8PufXyPweAKlWqQE3t/zdvZWWFatWqSc/V1dVhbm6OZ8+eFRlT9erVpb9tbGwAQOE6ZmZm8PPzg7e3N3x8fLB48WLEx8cX2XauOnXqFChbvnw56tSpAwsLCxgYGGDVqlUlvj/f3d0dlStXxqZNmwDkXJ797Nkz9OzZEwBw5coVJCcnw9zcHAYGBtLjwYMHiI2NLbTd7du3o3HjxrC2toaBgQGmTJlSIDZHR0cYGhpKz21sbKRxi42NRXp6utx+MzMzg4uLS5H9cXNzw82bNxEeHo6vvvoK//zzD3x8fPD111+XaFyAgseMh4cHoqKiCq2joaGBOnXqSHVyj8O8l2Y3atQIycnJePLkiVSmaN8qq7TGuVKlSrC1tUVYWBiSkpIQEREBT09PWFlZoXz58jh79izCw8Px9u1bNG/eHEDOa2Lo0KFwdnaGsbExjI2NkZycLMXbo0cPvH37FhUqVMDgwYOxa9cuuVsDFLly5QpCQkLkjk1vb29kZ2fjwYMHxY7foEGDEBwcjJMnTyI5ORnt2rUrUCclJQUTJ06Em5sbTExMYGBggDt37hQY57zvAzKZDNbW1nLvA8Xtq+joaNSrV0+uzbzPnz9/jsePH8Pf31+uvz/99FOB12LeWKysrABA7r3NyspKiu192y3qva4oH2M8o6KiUKNGDejp6Ul1FL3HK+Lr64vIyEicP38ePXv2xKBBg9CtWzcAOZdov3v3Dq1atZIbiz///LPYMc69jSFvWW68yrQbFRWFBg0ayL1fFNcnZceyOFFRUWjUqJFcWaNGjQq83+Xts76+PgwNDYvc/yNGjMDTp0+xfv16eHh4YNu2bahSpQqOHTsGIOf1e+/ePRgaGkpjYmZmhnfv3smNd7Vq1aClpSXXtq+vLzZs2AAg51aCTZs2wdfXt9D+paWloUWLFgqXFxdHSf93z549W3qPMzY2hp2dHQBg7P1N+P7en4U+znbqJj2IiIhKW4lmMAsKCkJmZibKlSsnlQkhoKmpiYSEBJiamirdlqamptxzmUymsCw7O1vpdnI/YBW2TnBwMAICAnD48GFs2bIFP/74I44dO6bw/rq89PX15Z5v3boV3377LQIDA+Hh4QFDQ0P8+uuvBWbcVoavry82btyI77//Hhs3boS3tzfKlCkj9cPGxqbAvdYACp2UJzw8HL1798aMGTPg7e0NY2NjbN68ucC9zkWNtRCixP3Ipaamhrp166Ju3br49ttvsX79evTv3x8//PADypcvDzU1tQLtKzsZX94P0MXVEUIUqJ+73bzl+fetskp7nL28vHDixAlUr14dlSpVkiai8vT0xIkTJ6CtrQ0HBwfpnno/Pz88f/4cixYtgoODA7S1teHh4SFNBGVnZ4fo6GgcO3YMx48fx/Dhw/Hrr7/i5MmTBfqQKzs7G0OGDJHuXc9LmQngfH19MXHiREyfPh0DBgxQOKHihAkTcOTIEcyfPx9OTk7Q1dVF9+7dC0xgVdQ4K7uvCjtecvsKAKtWrUL9+vXl6qmrqxcaS26b+cty2/vQdot7f8zvY4znhxy3xsbGcHJyAgCsX78eVapUQVBQEPz9/aX2Dxw4IPc/BgC0tbULja+4/x3KtPs+fVJ2LJWh6NjLX/Y+/x8NDQ3RsWNHdOzYET/99BO8vb3x008/oVWrVsjOzkbt2rWlZDsvCwsL6W9F75F9+/bF999/j6tXr+Lt27d4/Pix9OV9frq6ukXGqEwcJfnfPWnSJLl5UJKSkqREnYiI6EuhdJKemZmJP//8E4GBgWjdurXcsm7dumHDhg0YOXIkXF1dER4ejgEDBkjLw8PDP17EH8jd3R3u7u6YNGkSPDw8sHHjRjRo0ABaWlrIyspSqo3Tp0+jYcOGGD58uFSW/0yPsu317dsXP/74I65cuYLt27dj2bJl0rJatWrh6dOn0NDQUPpnqc6ePQsHBwf88MMPUllJJ9hxcnKCpqYmwsPDpWQrISEBMTEx8PT0LFFbbm5uACBNJmZhYSF3FiQpKUnhWVdFx5C7u3uBOk2bNgWQc3xeuXIFI0eOlLa7Y8cOuQ+7586dg6GhYYEP6vlpamoWu+9Ke5ybNWuGgIAAuLm5wcvLSyr39PTEH3/8AW1tbeksOpBzzC5dulQ6W/348WO8ePFCrk1dXV3pA/2IESNQuXJl3LhxA7Vq1VJ4PNeqVQu3bt2Skq6SMjMzQ8eOHbF169YCEyjmjdvPzw9dunQBkDOTff4JvYqjzL5ycXHBxYsX0b9/f6ns8uXL0t9WVlYoV64c7t+/X+gZw/fxsdpV9v3mY4ynm5sb1q1bh7dv30oJ2Pu8x2tqamLy5MmYNGkS+vTpAzc3N2hra+PRo0clfp8pLt7i2nVzcyvws4vF9UmZsVRmv7i6uuLMmTNy73fnzp1T+DOFH0Imk6Fy5crSL0DUqlULW7ZskSYlLQlbW1s0bdoUGzZswNu3b9GyZUvpqpH8KlWqBF1dXYSGhiq8qkrZOAr7352ftrZ2gS91iIiIvjRKX+6+f/9+JCQkwN/fH1WrVpV7dO/eHUFBQQCA0aNHY82aNVizZg1iYmIwbdo03Lp165N1QFkPHjzApEmTcP78eTx8+BBHjx5FTEyM9EHI0dERDx48QGRkJF68eFHkb/c6OTnh8uXLOHLkCGJiYjBlyhRcunRJro6joyOuX7+O6OhovHjxotCzxeXLl0fDhg3h7++PzMxMdOrUSVrWsmVLeHh4oHPnzjhy5Aji4uJw7tw5/Pjjj3IJRP7YHj16hM2bNyM2Nha//fYbdu3aVaKxMjAwgL+/PyZMmIDQ0FDcvHkTfn5+crcnKNK9e3csXLgQFy5cwMOHDxEWFoYRI0bA2dkZlStXBgA0b94c69atw+nTp3Hz5k0MHDiwwBlDANi2bZvcMXTx4kUpAc+1ZMkS7Nq1C3fu3MGIESOQkJCAQYMGAQCGDx+Ox48fY9SoUbhz5w727NmDadOmYezYscX2w9HREaGhoXj69GmhPx9XmuMM5CTpKSkpWLNmjVzi4enpicuXLyM8PFzup9ecnJywbt06REVF4cKFC/D19ZU7wxUSEoKgoCDcvHkT9+/fx7p166CrqwsHBwdpTE6dOoX//e9/UnL/3Xff4fz58xgxYgQiIyNx9+5d7N27F6NGjVJ6DEJCQvDixQvp+MjPyckJO3fuRGRkJK5du4a+ffuW+OyxMvtq1KhRCAoKwtq1a3H37l389NNPuH79utzZzOnTp2P27NlYvHgxYmJicOPGDQQHB2PBggUliie/j9Guo6MjkpOTERoaihcvXsjNbJ7XxxjPvn37Qk1NDf7+/rh9+zYOHjyI+fPnl6iNvG3JZDIsXboUhoaGGD9+PL799lusXbsWsbGxiIiIwJIlS7B27dr3ah+AUu0OHToUsbGxGDt2LKKjo7Fx48Zif+dbmbFU9LrJb8KECQgJCcHy5ctx9+5dLFiwADt37sT48ePfu8+RkZHo1KkTtm/fjtu3b+PevXsICgrCmjVrpP8xvr6+KFOmDDp16oTTp0/jwYMHOHnyJEaPHi13S1BhfH19sXnzZmzbtg39+vUrtJ6Ojg6+++47TJw4UbrFIDw8XPrMUFwcxf3vJiIi+jdSOkkPCgpCy5YtYWxsXGBZt27dEBkZiatXr6JXr16YOnUqvvvuO9SuXRsPHz7EsGHDPmrQ70NPTw937txBt27d4OzsjG+++QYjR47EkCFDAOT0oU2bNmjWrBksLCyk+8QVGTp0KLp27YpevXqhfv36ePnypdxZdSDn94BdXFyk+9bPnj1baHu+vr64du0aunbtKpc4yWQyHDx4EE2bNsWgQYPg7OyM3r17Iy4urtCzFp06dcK3336LkSNHombNmjh37hymTJlSkqECAPz6669o2rQpOnbsiJYtW6Jx48aoXbt2ket4e3tj37598PHxgbOzMwYOHIjKlSvj6NGj0qXMkyZNQtOmTdGhQwe0a9cOnTt3RsWKFQu0NWPGDGzevBnVq1fH2rVrsWHDBumsfK45c+Zg7ty5qFGjBk6fPo09e/ZItwqUK1cOBw8exMWLF1GjRg0MHToU/v7++PHHH4vte2BgII4dOwY7O7sCZ+9zleY4Azlf7jg4OODNmzdySXq5cuVgb2+Pd+/eySXpa9asQUJCAtzd3dG/f38EBATI/VaziYkJVq1ahUaNGqF69eoIDQ3Fvn37YG5uDgCYOXMm4uLiULFiRekS1OrVq+PkyZO4e/cumjRpAnd3d0yZMkW6X1oZurq60jYUWbhwIUxNTdGwYUP4+PjA29sbtWrVUrp9QLl95evri0mTJmH8+PGoVasWHjx4AD8/P+jo6Eh1vv76a6xevRohISGoVq0aPD09ERISgvLly5convw+RrsNGzbE0KFD0atXL1hYWGDevHkK632M8TQwMMC+fftw+/ZtuLu744cffsDcuXNL1EYuLS0tjBw5EvPmzUNycjJmzZqFqVOnYvbs2XB1dZXeUz50jItr197eHjt27MC+fftQo0YNLF++HL/88kuRbSozlopeN/l17twZixcvxq+//ooqVapgxYoVCA4OlrtCpqRsbW3h6OiIGTNmoH79+qhVqxYWL16MGTNmSFeU6Onp4dSpU7C3t0fXrl3h6uqKQYMG4e3bt0qdWe/RowdevnyJ1NRUuZ9bU2TKlCkYN24cpk6dCldXV/Tq1Uu6n764OIr7301ERPRvJBMfcoMh0Scgk8mwa9euQj/4xcXFoXz58oiIiCjwO9ZEH0urVq1gbW1d4DeriejLkZSUBGNjYxxp6wP9QubXyK/Rnh2fOCoiIqKilWjiOCKif6PU1FQsX74c3t7eUFdXx6ZNm3D8+HFpJmwiIiIios+FSToR/efl3lry008/IS0tDS4uLtixYwdatmxZ2qERERER0X8Mk3RSOcXdgeHo6PhBPwNFlJ+uri6OHz9e2mEQERERESk/cRwRERERERERfVpM0omIiIiIiIhUBJN0IiIiIiIiIhXBJJ2IiIiIiIhIRTBJJyIiIiIiIlIRTNKJiIiIiIiIVASTdCIiIiIiIiIVIRP8wWkiIiL6F0pKSoKxsTESExNhZGRU2uEQEREphWfSiYiIiIiIiFQEk3QiIiIiIiIiFcEknYiIiIiIiEhFMEknIiIiIiIiUhFM0omIiIiIiIhUBJN0IiIiIiIiIhXBJJ2IiIiIiIhIRWiUdgBEREREn1LPyQegqa1X6PJ9gZ0+YzRERERF45l0IiIiIiIiIhXBJJ2IiIiIiIhIRTBJJyIiIiIiIlIRTNKJiIiIiIiIVASTdCIiIiIiIiIVwSSdiIiIiIiISEUwSSciIiIiIiJSEUzSiYiIiIiIiFQEk3QiIiIiIiIiFcEknYiIiIiIiEhFMEknIqIvjpeXF8aMGVNkHUdHRyxatEh6LpPJsHv37k8alzJxvI/p06ejZs2an327H9P79IGIiOi/iEk6ERF9Vn5+fpDJZJDJZNDU1ESFChUwfvx4pKSkfNLtxsfHo23bth/czjfffAN1dXVs3rz5I0SlnPHjxyM0NLRE61y6dAnffPONUnU/dkKv6AuR9+kDERHRfxGTdCIi+uzatGmD+Ph43L9/Hz/99BOWLl2K8ePHf9JtWltbQ1tb+4PaSE1NxZYtWzBhwgQEBQV9pMiKZ2BgAHNz8xKtY2FhAT09vY8WQ1ZWFrKzs997/ffpAxER0X8Rk3QiIvrstLW1YW1tDTs7O/Tt2xe+vr7SmVc/Pz907txZrv6YMWPg5eUlV5aZmYmRI0fCxMQE5ubm+PHHHyGEKHSb+c/uPnnyBL1794aZmRn09fVRp04dXLhwoci4t23bBjc3N0yaNAlnz55FXFyc3PJnz57Bx8cHurq6KF++PDZs2KAwjhUrVqBDhw7Q09ODq6srzp8/j3v37sHLywv6+vrw8PBAbGystE7+S8Vzx2j+/PmwsbGBubk5RowYgYyMDKlO/rPj06dPh729PbS1tVG2bFkEBAQAyLl14OHDh/j222+lKxwAICQkBCYmJti/fz/c3Nygra2Nhw8f4tKlS2jVqhXKlCkDY2NjeHp64urVq3LbBYAuXbpAJpNJz/P3ITs7GzNnzoStrS20tbVRs2ZNHD58WFoeFxcHmUyGnTt3olmzZtDT00ONGjVw/vz5IvcRERHRl45JOhERlTpdXV25BFMZa9euhYaGBi5cuIDffvsNCxcuxOrVq5VaNzk5GZ6envj777+xd+9eXLt2DRMnTiz2THFQUBD69esHY2NjtGvXDsHBwXLL/fz8EBcXh7/++gvbt2/H0qVL8ezZswLtzJo1CwMGDEBkZCQqV66Mvn37YsiQIZg0aRIuX74MABg5cmSRsZw4cQKxsbE4ceIE1q5di5CQEISEhCisu337dixcuBArVqzA3bt3sXv3blSrVg0AsHPnTtja2mLmzJmIj49HfHy8tF5qaipmz56N1atX49atW7C0tMSbN28wcOBAnD59GuHh4ahUqRLatWuHN2/eAMi5zB4AgoODER8fLz3Pb/HixQgMDMT8+fNx/fp1eHt7o2PHjrh7965cvR9++AHjx49HZGQknJ2d0adPH2RmZhY5NkRERF8yjdIOgIiI/tsuXryIjRs3okWLFiVaz87ODgsXLoRMJoOLiwtu3LiBhQsXYvDgwcWuu3HjRjx//hyXLl2CmZkZAMDJyanIde7evYvw8HDs3LkTANCvXz8EBARg2rRpUFNTQ0xMDA4dOoTw8HDUr18fQE5S7+rqWqCtr776Cj179gQAfPfdd/Dw8MCUKVPg7e0NABg9ejS++uqrIuMxNTXFH3/8AXV1dVSuXBnt27dHaGiowv4/evQI1tbWaNmyJTQ1NWFvb4969eoBAMzMzKCurg5DQ0NYW1vLrZeRkYGlS5eiRo0aUlnz5s3l6qxYsQKmpqY4efIkOnToAAsLCwCAiYlJgfbymj9/Pr777jv07t0bADB37lycOHECixYtwpIlS6R648ePR/v27QEAM2bMQJUqVXDv3j1Urly5QJtpaWlIS0uTniclJRW6fSIiIlXFJJ2IiD67/fv3w8DAAJmZmcjIyECnTp3w+++/l6iNBg0aSJdmA4CHhwcCAwORlZUFdXX1IteNjIyEu7u7lKArIygoCN7e3ihTpgwAoF27dvD398fx48fRunVrREVFQUNDA3Xq1JHWqVy5MkxMTAq0Vb16delvKysrAJDObOeWvXv3DklJSTAyMlIYT5UqVeT6aWNjgxs3biis26NHDyxatAgVKlRAmzZt0K5dO/j4+EBDo+iPAVpaWnKxAjmX9E+dOhV//fUX/vnnH2RlZSE1NRWPHj0qsq28kpKS8Pfff6NRo0Zy5Y0aNcK1a9fkyvJu38bGRopBUZI+e/ZszJgxo0D52PuboK+pWWg8Zzv9mbP9PTuU7gMREdGnwsvdiYjos2vWrBkiIyMRHR2Nd+/eYefOnbC0tAQAqKmpFbi3vKSXwhdHV1e3RPWzsrLw559/4sCBA9DQ0ICGhgb09PTw6tUraQK53JjzfnFQGM08CWNufUVlRV1+r5kv6ZTJZIXWt7OzQ3R0NJYsWQJdXV0MHz4cTZs2LXZcdXV1C/THz88PV65cwaJFi3Du3DlERkbC3Nwc6enpRbalSP62hRAFykoyLpMmTUJiYqL0ePz4cYljIiIiKm08k05ERJ+dvr5+oZeXW1hY4ObNm3JlkZGRBZLS8PDwAs8rVapU7Fl0IOfs7OrVq/Hq1SulzqYfPHgQb968QUREhFz7d+7cga+vL16+fAlXV1dkZmbi8uXL0qXk0dHReP36dbHtfw66urro2LEjOnbsiBEjRqBy5cq4ceMGatWqBS0tLWRlZSnVzunTp7F06VK0a9cOAPD48WO8ePFCro6mpmaR7RkZGaFs2bI4c+YMmjZtKpWfO3dOGrv3oa2t/cEz+BMREZU2nkknIiKV0rx5c1y+fBl//vkn7t69i2nTphVI2oGc5HDs2LGIjo7Gpk2b8Pvvv2P06NFKbaNPnz6wtrZG586dcfbsWdy/fx87duwodObwoKAgtG/fHjVq1EDVqlWlR7du3WBhYYH169fDxcUFbdq0weDBg3HhwgVcuXIFX3/9dYnP2n8KISEhCAoKws2bN3H//n2sW7cOurq6cHBwAJAzI/upU6fwv//9r0DCnZ+TkxPWrVuHqKgoXLhwAb6+vgX66OjoiNDQUDx9+hQJCQkK25kwYQLmzp2LLVu2IDo6Gt9//z0iIyOV3odERET/VkzSiYhIpXh7e2PKlCmYOHEi6tatizdv3mDAgAEF6g0YMABv375FvXr1MGLECIwaNQrffPONUtvQ0tLC0aNHYWlpiXbt2qFatWqYM2eOwrPw//zzDw4cOIBu3boVWCaTydC1a1fpkvfg4GDY2dnB09MTXbt2xTfffCNdxl+aTExMsGrVKjRq1AjVq1dHaGgo9u3bJ/1u+cyZMxEXF4eKFStKE78VZs2aNUhISIC7uzv69++PgICAAn0MDAzEsWPHYGdnB3d3d4XtBAQEYNy4cRg3bhyqVauGw4cPY+/evahUqdLH6TQREdEXSiaK+lFZIiIioi9UUlISjI2NcaStT5ETx+XixHFERKQKeCadiIiIiIiISEUwSSciIiIiIiJSEUzSiYiIiIiIiFQEk3QiIiIiIiIiFcEknYiIiIiIiEhFMEknIiIiIiIiUhFM0omIiIiIiIhUBJN0IiIiIiIiIhXBJJ2IiIiIiIhIRTBJJyIiIiIiIlIRMiGEKO0giIiIiD62pKQkGBsbIzExEUZGRqUdDhERkVJ4Jp2IiIiIiIhIRTBJJyIiIiIiIlIRTNKJiIiIiIiIVASTdCIiIiIiIiIVwSSdiIiIiIiISEUwSSciIiIiIiJSEUzSiYiIiIiIiFSERmkHQERERPQp9Zx8AJraeoUu3xfY6TNGQ0REVDSeSSciIiIiIiJSEUzSiYiIiIiIiFQEk3QiIiIiIiIiFcEknYiIiIiIiEhFMEknIiIiIiIiUhFM0omIiIiIiIhUBJN0IiIiIiIiIhXBJJ2IiIiIiIhIRTBJJyIiIiIiIlIRTNKJiIiIiIiIVASTdCIiov8YmUyG3bt3AwDi4uIgk8kQGRlZqjEBgKOjIxYtWlTaYRAREZUqJulERESfmZ+fH2QyGWQyGTQ0NGBvb49hw4YhISFB6TY+JLmOj49H27Ztld5GUY/p06eXePtERERUOI3SDoCIiOi/qE2bNggODkZmZiZu376NQYMG4fXr19i0adMn37a1tbVS9ezs7BAfHy89nz9/Pg4fPozjx49LZQYGBtLfQghkZWVBQ4MfL4iIiN4Xz6QTERGVAm1tbVhbW8PW1hatW7dGr169cPToUbk6wcHBcHV1hY6ODipXroylS5dKy8qXLw8AcHd3h0wmg5eXFwDg0qVLaNWqFcqUKQNjY2N4enri6tWrcu3mvdy9KOrq6rC2tpYeBgYG0NDQkJ7fuXMHhoaGOHLkCOrUqQNtbW2cPn0asbGx6NSpE6ysrGBgYIC6devKJfYA8OzZM/j4+EBXVxfly5fHhg0bCmw/MTER33zzDSwtLWFkZITmzZvj2rVrygwvERHRF4tJOhERUSm7f/8+Dh8+DE1NTals1apV+OGHH/Dzzz8jKioKv/zyC6ZMmYK1a9cCAC5evAgAOH78OOLj47Fz504AwJs3bzBw4ECcPn0a4eHhqFSpEtq1a4c3b958svgnTpyI2bNnIyoqCtWrV0dycjLatWuH48ePIyIiAt7e3vDx8cGjR4+kdfz8/BAXF4e//voL27dvx9KlS/Hs2TNpuRAC7du3x9OnT3Hw4EFcuXIFtWrVQosWLfDq1atP1hciIqLSxuvRiIiISsH+/fthYGCArKwsvHv3DgCwYMECafmsWbMQGBiIrl27Asg5c3779m2sWLECAwcOhIWFBQDA3Nxc7vL15s2by21nxYoVMDU1xcmTJ9GhQ4dP0peZM2eiVatW0nNzc3PUqFFDev7TTz9h165d2Lt3L0aOHImYmBgcOnQI4eHhqF+/PgAgKCgIrq6u0jonTpzAjRs38OzZM2hrawPIudx+9+7d2L59O7755psCcaSlpSEtLU16npSU9NH7SkRE9KkxSSciIioFzZo1w7Jly5CamorVq1cjJiYGo0aNAgA8f/4cjx8/hr+/PwYPHiytk5mZCWNj4yLbffbsGaZOnYq//voL//zzD7KyspCamip3Fvtjq1OnjtzzlJQUzJgxA/v378fff/+NzMxMvH37VoohKioKGhoacutVrlwZJiYm0vMrV64gOTkZ5ubmcm2/ffsWsbGxCuOYPXs2ZsyYUaB87P1N0M9zlUKuRnt2KN1HIiKiz4VJOhERUSnQ19eHk5MTAOC3335Ds2bNMGPGDMyaNQvZ2dkAci55zz3TnEtdXb3Idv38/PD8+XMsWrQIDg4O0NbWhoeHB9LT0z9NR5DTl7wmTJiAI0eOYP78+XBycoKuri66d+8uxSCEAJBzb3xhsrOzYWNjg7CwsALL8ibzeU2aNAljx46VniclJcHOzq6EvSEiIipdTNKJiIhUwLRp09C2bVsMGzYMZcuWRbly5XD//n34+voqrK+lpQUAyMrKkis/ffo0li5dinbt2gEAHj9+jBcvXnza4PM5ffo0/Pz80KVLFwBAcnIy4uLipOWurq7IzMzE5cuXUa9ePQBAdHQ0Xr9+LdWpVasWnj59Cg0NDTg6Oiq1XW1tbenSeCIioi8VJ44jIiJSAV5eXqhSpQp++eUXAMD06dMxe/ZsLF68GDExMbhx4waCg4Ol+9YtLS2hq6uLw4cP459//kFiYiIAwMnJCevWrUNUVBQuXLgAX19f6Orqfta+ODk5YefOnYiMjMS1a9fQt29f6eoAAHBxcUGbNm0wePBgXLhwAVeuXMHXX38tF2fLli3h4eGBzp0748iRI4iLi8O5c+fw448/4vLly5+1P0RERJ8Tk3QiIiIVMXbsWKxatQqPHz/G119/jdWrVyMkJATVqlWDp6cnQkJCpJ9e09DQwG+//YYVK1agbNmy6NSpEwBgzZo1SEhIgLu7O/r374+AgABYWlp+1n4sXLgQpqamaNiwIXx8fODt7Y1atWrJ1QkODoadnR08PT3RtWtX6afWcslkMhw8eBBNmzbFoEGD4OzsjN69eyMuLg5WVlaftT9ERESfk0zk3hhGRERE9C+SlJQEY2NjHGnrw4njiIjoi8Ez6UREREREREQqgkk6ERERERERkYpgkk5ERERERESkIpikExEREREREakIJulEREREREREKoJJOhEREREREZGKYJJOREREREREpCKYpBMRERERERGpCCbpRERERERERCqCSToRERERERGRipAJIURpB0FERET0sSUlJcHY2BiJiYkwMjIq7XCIiIiUwjPpRERERERERCqCSToRERERERGRimCSTkRERERERKQimKQTERERERERqQgm6UREREREREQqgkk6ERERERERkYpgkk5ERERERESkIjRKOwAiIiKiT6nn5APQ1NaTK9sX2KmUoiEiIioaz6QTERERERERqQgm6UREREREREQqgkk6ERERERERkYpgkk5ERERERESkIpikExEREREREakIJulEREREREREKoJJOhEREREREZGKYJJOREREREREpCKYpBMRERERERGpCCbpRERERERERCqCSToREckJCwuDTCbD69evVaKd0hISEgITE5PSDqMAPz8/dO7cubTDUCguLg4ymQyRkZGlHQoREdEXi0k6Ef0nnTt3Durq6mjTpk1ph/Kv4OXlhTFjxsiVNWzYEPHx8TA2Ni6doD4DmUxW4NG4cePSDgsrVqxAjRo1oK+vDxMTE7i7u2Pu3LmffLt2dnaIj49H1apVP/m2iIiI/q00SjsAIqLSsGbNGowaNQqrV6/Go0ePYG9vX9oh/etoaWnB2tq6tMP45IKDg+W+7NHS0irFaICgoCCMHTsWv/32Gzw9PZGWlobr16/j9u3bH9RuRkYGNDU1i6yjrq7+n9jnREREnxLPpBPRf05KSgq2bt2KYcOGoUOHDggJCSlQZ+/evahTpw50dHRQpkwZdO3aVVqWlpaGiRMnws7ODtra2qhUqRKCgoKk5SdPnkS9evWgra0NGxsbfP/998jMzJSWe3l5YdSoURgzZgxMTU1hZWWFlStXIiUlBV999RUMDQ1RsWJFHDp0SFon99LxI0eOwN3dHbq6umjevDmePXuGQ4cOwdXVFUZGRujTpw9SU1PlYg0ICIClpSV0dHTQuHFjXLp0Sa6vBw8ehLOzM3R1ddGsWTPExcXJLX/58iX69OkDW1tb6OnpoVq1ati0aZO03M/PDydPnsTixYuls8lxcXEKL3ffsWMHqlSpAm1tbTg6OiIwMFBuW46Ojvjll18waNAgGBoawt7eHitXrixyfx4+fBiNGzeGiYkJzM3N0aFDB8TGxkrLcy/B3rlzJ5o1awY9PT3UqFED58+fl2snJCQE9vb20NPTQ5cuXfDy5csit5vLxMQE1tbW0sPMzAwAkJ2djZkzZ8LW1hba2tqoWbMmDh8+LLfujRs30Lx5c+jq6sLc3BzffPMNkpOTpeVZWVkYO3as1LeJEydCCFFkPPv27UPPnj3h7+8PJycnVKlSBX369MGsWbPk6gUHB8PV1RU6OjqoXLkyli5dWmDMtm7dCi8vL+jo6GDp0qXQ1dUt0IedO3dCX18fycnJCi93v3XrFtq3bw8jIyMYGhqiSZMmcvunqDjS09MxcuRI2NjYQEdHB46Ojpg9e3Yxe4SIiOgLJ4iI/mOCgoJEnTp1hBBC7Nu3Tzg6Oors7Gxp+f79+4W6urqYOnWquH37toiMjBQ///yztLxnz57Czs5O7Ny5U8TGxorjx4+LzZs3CyGEePLkidDT0xPDhw8XUVFRYteuXaJMmTJi2rRp0vqenp7C0NBQzJo1S8TExIhZs2YJNTU10bZtW7Fy5UoRExMjhg0bJszNzUVKSooQQogTJ04IAKJBgwbizJkz4urVq8LJyUl4enqK1q1bi6tXr4pTp04Jc3NzMWfOHGlbAQEBomzZsuLgwYPi1q1bYuDAgcLU1FS8fPlSCCHEo0ePhLa2thg9erS4c+eOWL9+vbCyshIAREJCgtSnX3/9VURERIjY2Fjx22+/CXV1dREeHi6EEOL169fCw8NDDB48WMTHx4v4+HiRmZkpxZzbzuXLl4WampqYOXOmiI6OFsHBwUJXV1cEBwdL8To4OAgzMzOxZMkScffuXTF79myhpqYmoqKiCt2f27dvFzt27BAxMTEiIiJC+Pj4iGrVqomsrCwhhBAPHjwQAETlypXF/v37RXR0tOjevbtwcHAQGRkZQgghwsPDhUwmE7NnzxbR0dFi8eLFwsTERBgbGxd5LAEQu3btUrhswYIFwsjISGzatEncuXNHTJw4UWhqaoqYmBghhBApKSmibNmyomvXruLGjRsiNDRUlC9fXgwcOFBqY+7cucLY2Fhs375d3L59W/j7+wtDQ0PRqVOnQmMaMmSIqFy5soiLiyu0zsqVK4WNjY3YsWOHuH//vtixY4cwMzMTISEhcmPm6Ogo1fnf//4nunXrJvr16yfXVrdu3USfPn3k1ouIiBBC5Bw7ZmZmomvXruLSpUsiOjparFmzRty5c0epOH799VdhZ2cnTp06JeLi4sTp06fFxo0bC+3Xu3fvRGJiovR4/PixACC8R2wUHcbulnsQERGpKibpRPSf07BhQ7Fo0SIhhBAZGRmiTJky4tixY9JyDw8P4evrq3Dd6OhoAUCufl6TJ08WLi4uckn/kiVLhIGBgZQ0enp6isaNG0vLMzMzhb6+vujfv79UFh8fLwCI8+fPCyH+P0k/fvy4VGf27NkCgIiNjZXKhgwZIry9vYUQQiQnJwtNTU2xYcMGaXl6erooW7asmDdvnhBCiEmTJglXV1e5eL/77ju55FqRdu3aiXHjxknPPT09xejRo+Xq5E/S+/btK1q1aiVXZ8KECcLNzU167uDgIJcEZmdnC0tLS7Fs2bJCY8nv2bNnAoC4ceOGEOL/E8fVq1dLdW7duiUASMl/nz59RJs2beTa6dWrl1JJuo6OjtDX15ceuUl72bJl5b7cEUKIunXriuHDhwshchJUU1NTkZycLC0/cOCAUFNTE0+fPhVCCGFjYyP3pUtGRoawtbUtMkn/+++/RYMGDQQA4ezsLAYOHCi2bNkiHX9CCGFnZ1cg2Z01a5bw8PAQQvz/mOW+TnLt3LlTGBgYSF8eJSYmCh0dHXHgwAG59XKT9EmTJony5cuL9PR0hbEWF8eoUaNE8+bN5Y7PokybNk0AKPA40tZHnOnYVXoQERGpMl7uTkT/KdHR0bh48SJ69+4NANDQ0ECvXr2wZs0aqU5kZCRatGihcP3IyEioq6vD09NT4fKoqCh4eHhAJpNJZY0aNUJycjKePHkilVWvXl36W11dHebm5qhWrZpUZmVlBQB49uyZXPt517OysoKenh4qVKggV5a7TmxsLDIyMtCoUSNpuaamJurVq4eoqCgp3gYNGsjF6+HhIbfNrKws/Pzzz6hevTrMzc1hYGCAo0eP4tGjRwrHoDBRUVFysQA5Y3P37l1kZWUp7KNMJoO1tXWBccgrNjYWffv2RYUKFWBkZITy5csDQIH48rZrY2MD4P/HN3e/5ZX/eWEWLlyIyMhI6dGqVSskJSXh77//VtjfvGOfO7lb3uXZ2dmIjo5GYmIi4uPj5eLQ0NBAnTp1iozHxsYG58+fx40bNxAQEICMjAwMHDgQbdq0QXZ2Np4/f47Hjx/D398fBgYG0uOnn36SuwwdQIFttW/fHhoaGti7dy+AnNsXDA0N0bp1a4WxREZGokmTJgrvZVcmDj8/P0RGRsLFxQUBAQE4evRokX2fNGkSEhMTpcfjx4+LrE9ERKSKOHEcEf2nBAUFITMzE+XKlZPKhBDQ1NREQkICTE1NoaurW+j6RS3LbStvwptbBkCuPH/SIpPJ5Mpy62ZnZ8vVy19HUTu56yjabv4YRTH3NwNAYGAgFi5ciEWLFqFatWrQ19fHmDFjkJ6eXuy6hW03b1l+RfVJER8fH9jZ2WHVqlUoW7YssrOzUbVq1QLxFTW+yoxDYaytreHk5CRXlpSUJLedXPnHPv/y/PF9iKpVq6Jq1aoYMWIEzpw5gyZNmuDkyZNwc3MDAKxatQr169eXW0ddXV3ued4vEICcSfG6d++OjRs3onfv3ti4cSN69eoFDQ3FHyeKer3kjn1RcdSqVQsPHjzAoUOHcPz4cfTs2RMtW7bE9u3bFbapra0NbW3tQrdJRET0JeCZdCL6z8jMzMSff/6JwMBAuTOf165dg4ODAzZs2AAg54xraGiowjaqVauG7OxsnDx5UuFyNzc3nDt3Ti7pO3fuHAwNDeW+GPgcnJycoKWlhTNnzkhlGRkZuHz5MlxdXaV4w8PD5dbL//z06dPo1KkT+vXrhxo1aqBChQq4e/euXB0tLS25s+GKuLm5ycUC5IyNs7NzgeRQWS9fvkRUVBR+/PFHtGjRAq6urkhISChxO8qMQ0kYGRmhbNmyCvubd+wjIyORkpIiLT979izU1NTg7OwMY2Nj2NjYyMWRmZmJK1eulDie3MQ8JSUFVlZWKFeuHO7fvw8nJye5R+5VCEXx9fXF4cOHcevWLZw4cQK+vr6F1q1evTpOnz6NjIyMAsuUjcPIyAi9evXCqlWrsGXLFuzYsQOvXr0q8RgQERF9KXgmnYj+M/bv34+EhAT4+/sX+O3u7t27IygoCCNHjsS0adPQokULVKxYEb1790ZmZiYOHTqEiRMnwtHREQMHDsSgQYPw22+/oUaNGnj48CGePXuGnj17Yvjw4Vi0aBFGjRqFkSNHIjo6GtOmTcPYsWOhpvZ5vxfV19fHsGHDMGHCBJiZmcHe3h7z5s1Damoq/P39AQBDhw5FYGAgxo4diyFDhuDKlSsFZrt3cnLCjh07cO7cOZiammLBggV4+vSplGwCObOyX7hwAXFxcTAwMJBmOM9r3LhxqFu3LmbNmoVevXrh/Pnz+OOPP+Rm8y4pU1NTmJubY+XKlbCxscGjR4/w/fffl7idgIAANGzYEPPmzUPnzp1x9OjRArOYl9SECRMwbdo0VKxYETVr1kRwcDAiIyOlL4N8fX0xbdo0DBw4ENOnT8fz588xatQo9O/fX7rdYfTo0ZgzZw4qVaoEV1dXLFiwQG62fEWGDRuGsmXLonnz5rC1tUV8fDx++uknWFhYSJfOT58+HQEBATAyMkLbtm2RlpaGy5cvIyEhAWPHji2yfU9PT1hZWcHX1xeOjo5o0KBBoXVHjhyJ33//Hb1798akSZNgbGyM8PBw1KtXDy4uLsXGsXDhQtjY2KBmzZpQU1PDtm3bYG1tDRMTE+V3BBER0ReGZ9KJ6D8jKCgILVu2LJCgA0C3bt0QGRmJq1evwsvLC9u2bcPevXtRs2ZNNG/eHBcuXJDqLlu2DN27d8fw4cNRuXJlDB48WDobWq5cORw8eBAXL15EjRo1MHToUPj7++PHH3/8bP3Ma86cOejWrRv69++PWrVq4d69ezhy5AhMTU0BAPb29tixYwf27duHGjVqYPny5fjll1/k2pgyZQpq1aoFb29veHl5wdraGp07d5arM378eKirq8PNzQ0WFhYK71evVasWtm7dis2bN6Nq1aqYOnUqZs6cCT8/v/fun5qaGjZv3owrV66gatWq+Pbbb/Hrr7+WuJ0GDRpg9erV+P3331GzZk0cPXr0g/dZQEAAxo0bh3HjxqFatWo4fPgw9u7di0qVKgEA9PT0cOTIEbx69Qp169ZF9+7d0aJFC/zxxx9SG+PGjcOAAQPg5+cHDw8PGBoaokuXLkVut2XLlggPD0ePHj3g7OyMbt26QUdHB6GhoTA3NwcAfP3111i9ejVCQkJQrVo1eHp6IiQkRKkz6TKZDH369MG1a9eKPIsOAObm5vjrr7+QnJwMT09P1K5dG6tWrZJuPSguDgMDA8ydOxd16tRB3bp1ERcXh4MHD372L7yIiIg+J5n4kBvxiIiIiFRUUlISjI2NcaStD/TzzEnQaM+OUoyKiIioaPwqmoiIiIiIiEhFMEknIiIiIiIiUhFM0omIiIiIiIhUBJN0IiIiIiIiIhXBJJ2IiIiIiIhIRTBJJyIiIiIiIlIRTNKJiIiIiIiIVASTdCIiIiIiIiIVwSSdiIiIiIiISEUwSSciIiIiIiJSETIhhCjtIIiIiIg+tqSkJBgbGyMxMRFGRkalHQ4REZFSeCadiIiIiIiISEUwSSciIiIiIiJSEUzSiYiIiIiIiFQEk3QiIiIiIiIiFcEknYiIiIiIiEhFMEknIiIiIiIiUhFM0omIiIiIiIhUhEZpB0BERET0KfWcfACa2nrF1tsX2OkzRENERFQ0nkknIiIiIiIiUhFM0omIiIiIiIhUBJN0IiIiIiIiIhXBJJ2IiIiIiIhIRTBJJyIiIiIiIlIRTNKJiIiIiIiIVASTdCIiIiIiIiIVwSSdiIiIiIiISEUwSSciIiIiIiJSEUzSiYiIiIiIiFQEk3QiIvriyGQy7N69u7TDgJ+fHzp37vzZt+vo6IhFixZ99u0qIyQkBCYmJqUdBhER0ReLSToREZUaPz8/yGSyAo82bdqUdmhy4uLiIJPJEBkZKVe+ePFihISElEpMRUlJScF3332HChUqQEdHBxYWFvDy8sL+/fs/+bZ79eqFmJiYT74dIiKifyuN0g6AiIj+29q0aYPg4GC5Mm1t7VKKpmSMjY1LOwSFhg4diosXL+KPP/6Am5sbXr58iXPnzuHly5fv3WZWVhZkMhnU1Ir+fl9XVxe6urrvvR0iIqL/Op5JJyKiUqWtrQ1ra2u5h6mpqbT87t27aNq0KXR0dODm5oZjx47JrR8WFgaZTIbXr19LZZGRkZDJZIiLi5PKzp49C09PT+jp6cHU1BTe3t5ISEgAABw+fBiNGzeGiYkJzM3N0aFDB8TGxkrrli9fHgDg7u4OmUwGLy8vAAUvd09LS0NAQAAsLS2ho6ODxo0b49KlSwViDQ0NRZ06daCnp4eGDRsiOjpaqhMbG4tOnTrBysoKBgYGqFu3Lo4fP16iMd23bx8mT56Mdu3awdHREbVr18aoUaMwcOBAqU56ejomTpyIcuXKQV9fH/Xr10dYWJi0PPey9f3798PNzQ3a2tpYtWoVdHR05MYaAAICAuDp6Sm3Xl579+5FnTp1oKOjgzJlyqBr165Kx/Hw4UP4+PjA1NQU+vr6qFKlCg4ePFii8SAiIvqSMEknIiKVlZ2dja5du0JdXR3h4eFYvnw5vvvuuxK3ExkZiRYtWqBKlSo4f/48zpw5Ax8fH2RlZQHIuTx87NixuHTpEkJDQ6GmpoYuXbogOzsbAHDx4kUAwPHjxxEfH4+dO3cq3M7EiROxY8cOrF27FlevXoWTkxO8vb3x6tUruXo//PADAgMDcfnyZWhoaGDQoEHSsuTkZLRr1w7Hjx9HREQEvL294ePjg0ePHindX2traxw8eBBv3rwptM5XX32Fs2fPYvPmzbh+/Tp69OiBNm3a4O7du1Kd1NRUzJ49G6tXr8atW7fQr18/mJiYYMeOHVKdrKwsbN26Fb6+vgq3c+DAAXTt2hXt27dHRESE9AWFsnGMGDECaWlpOHXqFG7cuIG5c+fCwMBA4bbS0tKQlJQk9yAiIvriCCIiolIycOBAoa6uLvT19eUeM2fOFEIIceTIEaGuri4eP34srXPo0CEBQOzatUsIIcSJEycEAJGQkCDViYiIEADEgwcPhBBC9OnTRzRq1EjpuJ49eyYAiBs3bgghhHjw4IEAICIiIgrE36lTJyGEEMnJyUJTU1Ns2LBBWp6eni7Kli0r5s2bJxfr8ePHpTr/1959R1VxrX8D/x56B0EpCqKIIE1q8CLRKGKwxBKNUYOFWLGjqNFcFSyxo8bE2KJojAaNSqyRKIqCHRAbKBYEo3CJqBALfb9/+GNeTyhCLByS72etWdfZs2fPM3tO7uI5e88+Bw4cEADE8+fPK43H3t5efPPNN9K+paWlWL58eaX1jx8/LszNzYWqqqrw8PAQQUFBIi4uTjp+8+ZNIZPJxL179+TO69Chg5g+fboQQojw8HABQCQlJcnVGT9+vPDx8ZH2o6KihJqamnj48KF0nr6+vnTcy8tL+Pv7VxhndeJwcnISoaGhld7ry0JCQgSAcltU524irnsvaSMiIlJkHEknIqJa1b59eyQlJcltY8aMAQCkpKSgcePGMDc3l+p7eXnV+BplI+mVuXXrFj777DNYWVlBT09Pmt5ek9HrW7duoaioCN7e3lKZqqoqPD09kZKSIle3ZcuW0r/NzMwAANnZ2QBejOpPnToV9vb2MDAwgI6ODq5du1ajWNq2bYvbt28jOjoavXv3xtWrV9GmTRvMnTsXAJCYmAghBGxsbKCjoyNtx48fl5vmr6amJhcrAPj7+yMmJgb3798HAGzduhVdunSRe0XhZVX1fXXiGD9+PObNmwdvb2+EhITg0qVLld739OnTkZubK213796tdp8REREpCi4cR0REtUpbWxvW1tYVHhNClCuTyWRy+2ULmb1ct6ioSK7OqxYy69atGywsLLB+/Xo0bNgQpaWlcHR0RGFhYbXu4eXr/zU+IUS5MlVVVenfZcfKptZPmTIFUVFRWLp0KaytraGpqYlPPvmkRrGUXaNNmzZo06YNpk2bhnnz5mHOnDn44osvUFpaCmVlZSQkJEBZWVnuvJenkmtqapaL3dPTE82aNUNERARGjRqFyMjIcgv/vayqvq9OHMOGDYOfnx8OHDiA3377DQsWLEBYWBjGjRtXrj11dfU6s+ggERFRZTiSTkRECsve3h4ZGRnSqC0AnD59Wq5OgwYNAACZmZlS2V9/Kq1ly5aIjo6u8Bo5OTlISUnBjBkz0KFDB9jZ2UkLypVRU1MDAOkd9opYW1tDTU0NcXFxUllRURHi4+NhZ2dXxV3Ki42NRUBAAD7++GM4OTnB1NRUbgG8v8ve3h7FxcXIz8+Hq6srSkpKkJ2dDWtra7nN1NT0lW199tln2Lp1K/bt2wclJSV07dq10rpV9X1147CwsEBgYCB2796N4OBgrF+/vuYdQEREVEdwJJ2IiGpVQUEBsrKy5MpUVFRQv359+Pr6wtbWFoMGDUJYWBjy8vLw3//+V66utbU1LCwsEBoainnz5uHGjRsICwuTqzN9+nQ4OTlh9OjRCAwMhJqaGo4dO4Y+ffrA0NAQRkZGWLduHczMzJCRkYFp06bJnW9sbAxNTU0cOnQI5ubm0NDQKPfza9ra2hg1ahSmTJkCQ0NDNG7cGIsXL8azZ88wdOjQaveHtbU1du/ejW7dukEmk2HmzJnSKHt1tWvXDv3794eHhweMjIyQnJyML7/8Eu3bt4eenh709PTg7+8v9aurqysePHiAo0ePwsnJCV26dKmyfX9/f8yePRtfffUVPvnkE2hoaFRaNyQkBB06dECzZs3Qr18/FBcX49dff8XUqVNhY2PzyjiCgoLQuXNn2NjY4NGjRzh69GiNvvQgIiKqaziSTkREterQoUMwMzOT295//30AL6ayR0ZGoqCgAJ6enhg2bBi++uorufNVVVXx008/4dq1a3B2dsaiRYswb948uTo2Njb47bffcPHiRXh6esLLywt79uyBiooKlJSUEBERgYSEBDg6OmLixIlYsmSJ3PkqKipYuXIl1q5di4YNG6JHjx4V3svChQvRu3dvDBw4EG5ubrh58yaioqIqfV+7IsuXL0e9evXQunVrdOvWDX5+fnBzc6v2+QDg5+eHzZs348MPP4SdnR3GjRsHPz8/7NixQ6oTHh6OQYMGITg4GLa2tujevTvOnj0LCwuLV7bfvHlzvPfee7h06VKlq7qXadeuHX7++Wfs3bsXLi4u8PHxwdmzZ6sdR0lJCcaMGQM7Ozt06tQJtra2+O6772rUH0RERHWJTFT0wh8RERFRHZeXlwd9fX1Ede4G7ZfWAfDes6uKs4iIiGoXR9KJiIiIiIiIFASTdCIiIiIiIiIFwSSdiIiIiIiISEEwSSciIiIiIiJSEEzSiYiIiIiIiBQEk3QiIiIiIiIiBcEknYiIiIiIiEhBMEknIiIiIiIiUhBM0omIiIiIiIgUBJN0IiIiIiIiIgUhE0KI2g6CiIiI6E3Ly8uDvr4+cnNzoaenV9vhEBERVQtH0omIiIiIiIgUBJN0IiIiIiIiIgXBJJ2IiIiIiIhIQTBJJyIiIiIiIlIQTNKJiIiIiIiIFASTdCIiIiIiIiIFwSSdiIiIiIiISEEwSSciIqJ/tE+/PIBuwXtqOwwiIqJqYZJOREREREREpCCYpBMREREREREpCCbpRERERERERAqCSToRERERERGRgmCSTkRERERERKQgmKQTERERERERKQgm6UREREREREQKgkk6ERERERERkYJgkk5ERERERESkIJikExERERERESkIJulERArs5MmTcHJygqqqKnr27Fnb4dSqJk2aYMWKFbUdRo0FBAT8q55daGgoXFxcajsMIiKiOotJOtG/WEBAAGQyGQIDA8sdGz16NGQyGQICAt59YHXcm0zKJk2aBBcXF6SlpWHTpk2V1rt58yY+//xzmJubQ11dHU2bNkX//v0RHx//RuJQBOfPn8eIESNqO4w3LiYmBjKZrMItKyur2u0oypcYkydPRnR0dG2HQUREVGcxSSf6l7OwsEBERASeP38uleXn5+Onn35C48aNazEyAoBbt27Bx8cH5ubmMDAwqLBOfHw83N3dkZqairVr1yI5ORmRkZFo0aIFgoOD323Ab1GDBg2gpaVV22G8NdevX0dmZqbcZmxs/M7jKCws/FvnCSFQXFwMHR0dGBkZveGoiIiI/j2YpBP9y7m5uaFx48bYvXu3VLZ7925YWFjA1dVVru6hQ4fw/vvvw8DAAEZGRvjoo49w69Yt6fidO3cgk8mwe/dutG/fHlpaWnB2dsbp06elOjk5Oejfvz/Mzc2hpaUFJycn/PTTT3LX+fPPP+Hv7w9tbW2YmZlh+fLlaNeuHYKCgqQ6hYWFmDp1Kho1agRtbW20atUKMTEx0vFNmzbBwMAA+/fvh62tLbS0tPDJJ5/g6dOn2Lx5M5o0aYJ69eph3LhxKCkpqXG7UVFRsLOzg46ODjp16oTMzEwAL6b6bt68GXv27JFGQ18+/2UFBQUYP348jI2NoaGhgffffx/nz5+X68ucnBwMGTIEMpmswpF0IQQCAgLQvHlzxMbGomvXrmjWrBlcXFwQEhKCPXv2SHUvX74MHx8faGpqwsjICCNGjMCTJ0+k42UzAObPnw8TExMYGBhg9uzZKC4uxpQpU2BoaAhzc3Ns3Lix3DOPiIhA69atoaGhAQcHB7l7LikpwdChQ9G0aVNoamrC1tYWX3/9tdx9lF176dKlMDMzg5GREcaMGYOioiKpzl9HinNzczFixAgYGxtDT08PPj4+uHjxonT84sWLaN++PXR1daGnpwd3d/cqZxYsW7YMTk5O0NbWhoWFBUaPHi3XP6969mX3OmnSJOm/kalTp0IIUek1X2ZsbAxTU1O5TUlJqVr9065dO6Snp2PixInS567MqVOn0LZtW2hqasLCwgLjx4/H06dP5fp13rx5CAgIgL6+PoYPH16t51o2AyAqKgoeHh5QV1dHbGxsuenuMTEx8PT0hLa2NgwMDODt7Y309HTp+L59++Du7g4NDQ1YWVlJn7kyoaGhaNy4MdTV1dGwYUOMHz++Wv1JRERUVzFJJyJ8/vnnCA8Pl/Y3btyIIUOGlKv39OlTTJo0CefPn0d0dDSUlJTw8ccfo7S0VK7ef//7X0yePBlJSUmwsbFB//79pT+68/Pz4e7ujv379+PKlSsYMWIEBg4ciLNnz0rnT5o0CSdPnsTevXtx+PBhxMbGIjExsVzMJ0+eREREBC5duoQ+ffqgU6dOuHHjhlTn2bNnWLlyJSIiInDo0CHExMSgV69eOHjwIA4ePIgtW7Zg3bp12LlzZ43bXbp0KbZs2YITJ04gIyMDkydPBvBiqu+nn34qJW+ZmZlo3bp1hf0+depU7Nq1C5s3b0ZiYiKsra3h5+eHhw8fwsLCApmZmdDT08OKFSuQmZmJvn37lmsjKSkJV69eRXBwsJTQvaxs9P3Zs2fo1KkT6tWrh/Pnz+Pnn3/GkSNHMHbsWLn6R48exf3793HixAksW7YMoaGh+Oijj1CvXj2cPXsWgYGBCAwMxN27d+XOmzJlCoKDg3HhwgW0bt0a3bt3R05ODgCgtLQU5ubm2LFjB5KTkzFr1ix8+eWX2LFjh1wbx44dw61bt3Ds2DFs3rwZmzZtqnSKvxACXbt2RVZWFg4ePIiEhAS4ubmhQ4cOePjwIQDA398f5ubmOH/+PBISEjBt2jSoqqpW2B4AKCkpYeXKlbhy5Qo2b96Mo0ePYurUqXJ1qnr2ABAWFoaNGzdiw4YNiIuLw8OHDxEZGVnpNWuiqv7ZvXs3zM3NMWfOHOlzB7z4YsbPzw+9evXCpUuXsH37dsTFxZV77kuWLIGjoyMSEhIwc+ZMqbyq51pm6tSpWLBgAVJSUtCyZUu5Y8XFxejZsyc++OADXLp0CadPn8aIESOkLxGioqIwYMAAjB8/HsnJyVi7di02bdqEr776CgCwc+dOLF++HGvXrsWNGzfwyy+/wMnJqdI+KigoQF5entxGRERU5wgi+tcaPHiw6NGjh/jjjz+Eurq6SEtLE3fu3BEaGhrijz/+ED169BCDBw+u9Pzs7GwBQFy+fFkIIURaWpoAIL7//nupztWrVwUAkZKSUmk7Xbp0EcHBwUIIIfLy8oSqqqr4+eefpeOPHz8WWlpaYsKECUIIIW7evClkMpm4d++eXDsdOnQQ06dPF0IIER4eLgCImzdvSsdHjhwptLS0xJ9//imV+fn5iZEjR75Wu6tWrRImJibSflm/VuXJkydCVVVVbN26VSorLCwUDRs2FIsXL5bK9PX1RXh4eKXtbN++XQAQiYmJVV5v3bp1ol69euLJkydS2YEDB4SSkpLIysqS4ra0tBQlJSVSHVtbW9GmTRtpv7i4WGhra4uffvpJCPH/n/nChQulOkVFRcLc3FwsWrSo0nhGjx4tevfuLe2XXbu4uFgq69Onj+jbt6+0b2lpKZYvXy6EECI6Olro6emJ/Px8uXabNWsm1q5dK4QQQldXV2zatKnKfqnKjh07hJGRkbRfnWdvZmZWYV9U9Xk4duyYACC0tbXlNhsbG6lOTfunzMCBA8WIESPkymJjY4WSkpJ4/vy5dF7Pnj3l6lTnuZbF/csvv8idGxISIpydnYUQQuTk5AgAIiYmpsJ7b9OmjZg/f75c2ZYtW4SZmZkQQoiwsDBhY2MjCgsLKzz/r0JCQgSAcltU524irnsvEde9V7XaISIiqk0q7/xbASJSOPXr10fXrl2xefNmaYSyfv365erdunULM2fOxJkzZ/DgwQNpBD0jIwOOjo5SvZdH08zMzAAA2dnZaNGiBUpKSrBw4UJs374d9+7dQ0FBAQoKCqCtrQ0AuH37NoqKiuDp6Sm1oa+vD1tbW2k/MTERQgjY2NjIxVdQUCD3LqyWlhaaNWsm7ZuYmKBJkybQ0dGRK8vOzn6tds3MzKQ2quvWrVsoKiqCt7e3VKaqqgpPT0+kpKRUux3xf1OpX57eXJGUlBQ4OztL/QwA3t7eKC0txfXr12FiYgIAcHBwkBuRNzExkXu2ysrKMDIyKne/Xl5e0r9VVFTg4eEhdx9r1qzB999/j/T0dDx//hyFhYXlVgB3cHCAsrKytG9mZobLly9XeD8JCQl48uRJuXefnz9/Lr2CMWnSJAwbNgxbtmyBr68v+vTpI/fc/urYsWOYP38+kpOTkZeXh+LiYuTn5+Pp06dSv1X17HNzc5GZmVlhX4hqTHmPjY2Frq6u3Lkvq0n/lElISMDNmzexdetWqUwIgdLSUqSlpcHOzg4A4OHhUeH5r3quVZ0LAIaGhggICICfnx86duwIX19ffPrpp9L/LyQkJOD8+fPSyDnw4pWB/Px8PHv2DH369MGKFStgZWWFTp06oUuXLujWrVu5vikzffp0TJo0SdrPy8uDhYVFpfEREREpIibpRAQAGDJkiDQFdtWqVRXW6datGywsLLB+/Xo0bNgQpaWlcHR0LLfQ1MtTisuSx7KEPiwsDMuXL8eKFSuk93+DgoKkNipLOl9OckpLS6GsrIyEhAS5pAWAXAL+16nNMpmswrKy2F6n3eokYRXdT0X3+aqE+2VlXyikpKRU+bNXVbX7cnlN+6wqZe3u2LEDEydORFhYGLy8vKCrq4slS5bIveJQ2bUru05paSnMzMwqfN+/bIp/aGgoPvvsMxw4cAC//vorQkJCEBERgY8//rjcOenp6ejSpQsCAwMxd+5cGBoaIi4uDkOHDpV7L/5NPPvKNG3atNLFASu79queQ2lpKUaOHFnhe9wvLwz58pc3r/LXz9Grzg0PD8f48eNx6NAhbN++HTNmzMDhw4fxn//8B6WlpZg9ezZ69epV7jwNDQ1YWFjg+vXrOHz4MI4cOYLRo0djyZIlOH78eIWvLqirq0NdXb3a90JERKSI+E46EQEAOnXqhMLCQhQWFsLPz6/c8ZycHKSkpGDGjBno0KED7Ozs8OjRoxpfJzY2Fj169MCAAQPg7OwMKysrufe9mzVrBlVVVZw7d04qy8vLk6vj6uqKkpISZGdnw9raWm4zNTWtcUxvul01NTW5xegqYm1tDTU1NcTFxUllRUVFiI+Pl0Y3q8PFxQX29vYICwurMGF7/PgxAMDe3h5JSUlyC4adPHkSSkpK5WYO/B1nzpyR/l1cXIyEhAS0aNECwItn3rp1a4wePRqurq6wtraWW3Dw73Bzc0NWVhZUVFTKPauXZ4HY2Nhg4sSJ+O2339CrVy+5tRdeFh8fj+LiYoSFheE///kPbGxscP/+/RrFpK+vDzMzswr74l2o6HPn5uaGq1evluujss/fq1T1XGvC1dUV06dPx6lTp+Do6Iht27ZJ8V2/fr3C+MpmdGhqaqJ79+5YuXIlYmJicPr06VfOICAiIqrLmKQTEYAX05hTUlKQkpJSbhQZAOrVqwcjIyOsW7cON2/exNGjR+WmlVaXtbU1Dh8+jFOnTiElJQUjR46U+y1oXV1dDB48GFOmTMGxY8dw9epVDBkyBEpKStIIno2NDfz9/TFo0CDs3r0baWlpOH/+PBYtWoSDBw/+7T54U+02adIEly5dwvXr1/HgwQO5kdgy2traGDVqFKZMmYJDhw4hOTkZw4cPx7NnzzB06NBqX0smkyE8PBypqalo27YtDh48iNu3b+PSpUv46quv0KNHDwAvFlHT0NDA4MGDceXKFRw7dgzjxo3DwIEDpanur2PVqlWIjIzEtWvXMGbMGDx69EhafNDa2hrx8fGIiopCamoqZs6cKa1i/3f5+vrCy8sLPXv2RFRUFO7cuYNTp05hxowZiI+Px/PnzzF27FjExMQgPT0dJ0+exPnz5yv9AqRZs2YoLi7GN998g9u3b2PLli1Ys2ZNjeOaMGECFi5cKPXF6NGjpS9KXiU7OxtZWVlyW0Wfnco0adIEJ06cwL179/DgwQMAwBdffIHTp09jzJgxSEpKwo0bN7B3716MGzeuWm1W9VyrIy0tDdOnT8fp06eRnp6O3377DampqdJzmDVrFn744QeEhobi6tWrSElJkUbbgRcr6m/YsAFXrlyRnoumpiYsLS2rHQMREVFdwySdiCR6enrQ09Or8JiSkhIiIiKQkJAAR0dHTJw4EUuWLKnxNWbOnAk3Nzf4+fmhXbt2MDU1Rc+ePeXqLFu2DF5eXvjoo4/g6+sLb29v2NnZQUNDQ6oTHh6OQYMGITg4GLa2tujevTvOnj372u+fvol2hw8fDltbW3h4eKBBgwY4efJkhfUWLlyI3r17Y+DAgXBzc8PNmzcRFRWFevXq1ShmT09PxMfHo1mzZhg+fDjs7OzQvXt3XL16VfrJMi0tLURFReHhw4d477338Mknn6BDhw749ttva3StyixcuBCLFi2Cs7MzYmNjsWfPHmlEOzAwEL169ULfvn3RqlUr5OTkYPTo0a91PZlMhoMHD6Jt27YYMmQIbGxs0K9fP9y5cwcmJiZQVlZGTk4OBg0aBBsbG3z66afo3LkzZs+eXWF7Li4uWLZsGRYtWgRHR0ds3boVCxYsqHFcwcHBGDRoEAICAqSp/RVNr6+Ira0tzMzM5LaajMLPmTMHd+7cQbNmzdCgQQMAL9aHOH78OG7cuIE2bdrA1dUVM2fOlN4Jf5Wqnmt1aGlp4dq1a+jduzdsbGwwYsQIjB07FiNHjgQA+Pn5Yf/+/Th8+DDee+89/Oc//8GyZcukJNzAwADr16+Ht7c3WrZsiejoaOzbt4+/w05ERP9oMvGmXqYjInpLnj59ikaNGiEsLKxGo8z09t25cwdNmzbFhQsXqnwnnuqWf8pzzcvLg76+PqI6d4P2/73D7r1nVy1HRUREVDUuHEdECufChQu4du0aPD09kZubizlz5gCANHWbiIiIiOifikk6ESmkpUuX4vr161BTU4O7uztiY2NrNM2WiIiIiKguYpJORArH1dX1na2ITa+nSZMmb+wnyEhx8LkSERHVHi4cR0RERERERKQgmKQTERERERERKQgm6UREREREREQKgkk6ERERERERkYJgkk5ERERERESkIJikExERERERESkIJulERERERERECkIm+EOoRERE9A+Ul5cHfX195ObmQk9Pr7bDISIiqhaOpBMREREREREpCCbpRERERERERAqCSToRERERERGRgmCSTkRERERERKQgmKQTERERERERKQgm6UREREREREQKgkk6ERERERERkYJQqe0AiIiIiN6mT788AFV1rddqY19YjzcUDRERUdU4kk5ERERERESkIJikExERERERESkIJulERERERERECoJJOhEREREREZGCYJJOREREREREpCCYpBMREREREREpCCbpRERERERERAqCSToRERERERGRgmCSTkRERERERKQgmKQTERERERERKQgm6URE9I8RExMDmUyGx48fAwA2bdoEAwODt3rNdu3aISgo6K1e400LCAhAz549/3XXJiIiqguYpBMRUZ1y6tQpKCsro1OnTm+szf3796Ndu3bQ1dWFlpYW3nvvPWzatEmuzl+/AKgNihBDRZo0aYIVK1ZUq+7XX39drm+JiIjo/2OSTkREdcrGjRsxbtw4xMXFISMj47Xb++abb9CjRw+0bt0aZ8+exaVLl9CvXz8EBgZi8uTJbyDimisqKqqV675NJSUlKC0thb6+/luf3UBERFSXMUknIqI64+nTp9ixYwdGjRqFjz766LVHZO/evYvg4GAEBQVh/vz5sLe3h7W1NYKDg7FkyRKEhYXh7NmzuHPnDtq3bw8AqFevHmQyGQICAqR2SktLMXXqVBgaGsLU1BShoaFy18nNzcWIESNgbGwMPT09+Pj44OLFi9Lx0NBQuLi4YOPGjbCysoK6ujqEEK+Mv2w6f1RUFOzs7KCjo4NOnTohMzNTqlNSUoJJkybBwMAARkZGmDp1arm2KxoJd3FxkbuP0NBQNG7cGOrq6mjYsCHGjx8P4MV0//T0dEycOBEymQwymUwutv3798Pe3h7q6upIT08vN91dCIHFixfDysoKmpqacHZ2xs6dO6Xjjx49gr+/Pxo0aABNTU00b94c4eHhr+wbIiKiuopJOhER1Rnbt2+Hra0tbG1tMWDAAISHh1crma3Mzp07UVRUVOGI+ciRI6Gjo4OffvoJFhYW2LVrFwDg+vXryMzMxNdffy3V3bx5M7S1tXH27FksXrwYc+bMweHDhwG8SEK7du2KrKwsHDx4EAkJCXBzc0OHDh3w8OFDqY2bN29ix44d2LVrF5KSkqp9D8+ePcPSpUuxZcsWnDhxAhkZGXL3ExYWho0bN2LDhg2Ii4vDw4cPERkZWeN+Wr58OdauXYsbN27gl19+gZOTEwBg9+7dMDc3x5w5c5CZmSn3BcGzZ8+wYMECfP/997h69SqMjY3LtT1jxgyEh4dj9erVuHr1KiZOnIgBAwbg+PHjAICZM2ciOTkZv/76K1JSUrB69WrUr1+/wjgLCgqQl5cntxEREdU1KrUdABERUXVt2LABAwYMAAB06tQJT548QXR0NHx9ff9We6mpqdDX14eZmVm5Y2pqarCyskJqaiqUlZVhaGgIADA2Ni43Xbtly5YICQkBADRv3hzffvstoqOj0bFjRxw7dgyXL19GdnY21NXVAQBLly7FL7/8gp07d2LEiBEAgMLCQmzZsgUNGjSo0T0UFRVhzZo1aNasGQBg7NixmDNnjnR8xYoVmD59Onr37g0AWLNmDaKiomp0jYyMDJiamsLX1xeqqqpo3LgxPD09AQCGhoZQVlaGrq4uTE1Ny8X23XffwdnZucJ2nz59imXLluHo0aPw8vICAFhZWSEuLg5r167FBx98gIyMDLi6usLDwwPAi1H/yixYsACzZ88uVz7p9k/QVlWt0T2/zHvPrr99LhERUU1xJJ2IiOqE69ev49y5c+jXrx8AQEVFBX379sXGjRvf2jWFENL07aq0bNlSbt/MzAzZ2dkAgISEBDx58gRGRkbQ0dGRtrS0NNy6dUs6x9LSssYJOgBoaWlJCfpfr52bm4vMzEwpAQZe9FtZwltdffr0wfPnz2FlZYXhw4cjMjISxcXFrzxPTU2tXN+8LDk5Gfn5+ejYsaNc3/zwww9S34waNQoRERFwcXHB1KlTcerUqUrbmz59OnJzc6Xt7t27NbpPIiIiRcCRdCIiqhM2bNiA4uJiNGrUSCoTQkBVVRWPHj1CvXr1atymjY0NcnNzcf/+fTRs2FDuWGFhIW7fvg0fH59XtqP6l1FamUyG0tJSAC/eVzczM0NMTEy5814ekdfW1q5x/JVdu6avACgpKZU75+XF6ywsLHD9+nUcPnwYR44cwejRo7FkyRIcP3683PVfpqmpWeWXHGV9dODAAbnnCkCaddC5c2ekp6fjwIEDOHLkCDp06IAxY8Zg6dKl5dpTV1eXziMiIqqrOJJOREQKr7i4GD/88APCwsKQlJQkbRcvXoSlpSW2bt36t9rt3bs3VFRUEBYWVu7YmjVr8PTpU/Tv3x/Ai1Fh4MVCbDXh5uaGrKwsqKiowNraWm6r7N3qN6VsKv+ZM2eksuLiYiQkJMjVa9Cggdy75Hl5eUhLS5Oro6mpie7du2PlypWIiYnB6dOncfnyZQAv+qam/QJAWlAuIyOjXN9YWFjIxRcQEIAff/wRK1aswLp162p8LSIiorqCI+lERKTw9u/fj0ePHmHo0KHQ19eXO/bJJ59gw4YNGDt2bI3bbdy4MRYvXozJkydDQ0MDAwcOhKqqKvbs2YMvv/wSwcHBaNWqFYAX09FlMhn279+PLl26QFNTEzo6Oq+8hq+vL7y8vNCzZ08sWrQItra2uH//Pg4ePIiePXvWeOp5TU2YMAELFy5E8+bNYWdnh2XLlpX7nXUfHx9s2rQJ3bp1Q7169TBz5kwoKytLxzdt2oSSkhK0atUKWlpa2LJlCzQ1NWFpaQngxXviJ06cQL9+/aCurl7tLx90dXUxefJkTJw4EaWlpXj//feRl5eHU6dOQUdHB4MHD8asWbPg7u4OBwcHFBQUYP/+/bCzs3tj/UNERKRoOJJOREQKb8OGDfD19S2XoAMvRsOTkpKQmJj4t9qeOHEiIiMjERsbCw8PDzg6OmLbtm1YvXq13JTqRo0aYfbs2Zg2bRpMTEyq/aWATCbDwYMH0bZtWwwZMgQ2Njbo168f7ty5AxMTk78Vc00EBwdj0KBBCAgIgJeXF3R1dfHxxx/L1Zk+fTratm2Ljz76CF26dEHPnj3l3nM3MDDA+vXr4e3tjZYtWyI6Ohr79u2DkZERAGDOnDm4c+cOmjVrVuP36ufOnYtZs2ZhwYIFsLOzg5+fH/bt24emTZsCeDFKP336dLRs2RJt27aFsrIyIiIiXrNXiIiIFJdMvM5v1xAREREpqLy8POjr6yOqczeu7k5ERHUGR9KJiIiIiIiIFASTdCIiIiIiIiIFwSSdiIiIiIiISEEwSSciIiIiIiJSEEzSiYiIiIiIiBQEk3QiIiIiIiIiBcEknYiIiIiIiEhBMEknIiIiIiIiUhBM0omIiIiIiIgUBJN0IiIiIiIiIgUhE0KI2g6CiIiI6E3Ly8uDvr4+cnNzoaenV9vhEBERVQtH0omIiIiIiIgUBJN0IiIiIiIiIgXBJJ2IiIiIiIhIQTBJJyIiIiIiIlIQTNKJiIiIiIiIFASTdCIiIiIiIiIFwSSdiIiIiIiISEEwSSciIiIiIiJSEEzSiYiIiIiIiBQEk3QiIiIiIiIiBcEknYiIiIiIiEhBMEknIiIiIiIiUhBM0omIiIiIiIgUhEptB0BERET0NgghAAB5eXm1HAkREf2T6erqQiaTvbH2mKQTERHRP1JOTg4AwMLCopYjISKif7Lc3Fzo6em9sfaYpBMREdE/kqGhIQAgIyMD+vr6tRzNP1deXh4sLCxw9+7dN/pHKsljP7877Ot345/Uz7q6um+0PSbpRERE9I+kpPRi6R19ff06/wdgXaCnp8d+fgfYz+8O+/rdYD+Xx4XjiIiIiIiIiBQEk3QiIiIiIiIiBcEknYiIiP6R1NXVERISAnV19doO5R+N/fxusJ/fHfb1u8F+rpxMlP0+CRERERERERHVKo6kExERERERESkIJulERERERERECoJJOhEREREREZGCYJJOREREREREpCCYpBMREVGd9d1336Fp06bQ0NCAu7s7YmNjpWNLly6FiYkJTExMsHz5crnzzp49C3d3d5SUlLzrkBXaggUL8N5770FXVxfGxsbo2bMnrl+/LldHCIHQ0FA0bNgQmpqaaNeuHa5evSpXZ9KkSTA0NETjxo0REREhd2zHjh3o1q3bW7+XumTBggWQyWQICgqSytjPb8a9e/cwYMAAGBkZQUtLCy4uLkhISJCOs59fX3FxMWbMmIGmTZtCU1MTVlZWmDNnDkpLS6U67OcaEkRERER1UEREhFBVVRXr168XycnJYsKECUJbW1ukp6eLS5cuCU1NTREdHS2OHDkiNDQ0xOXLl4UQQhQWFgoXFxdx7ty5Wr4DxePn5yfCw8PFlStXRFJSkujatato3LixePLkiVRn4cKFQldXV+zatUtcvnxZ9O3bV5iZmYm8vDwhhBB79+4VJiYm4vz582Lbtm1CQ0NDPHjwQAghxKNHj4S1tbVIT0+vlftTROfOnRNNmjQRLVu2FBMmTJDK2c+v7+HDh8LS0lIEBASIs2fPirS0NHHkyBFx8+ZNqQ77+fXNmzdPGBkZif3794u0tDTx888/Cx0dHbFixQqpDvu5ZpikExERUZ3k6ekpAgMD5cpatGghpk2bJrZv3y5atWolV3fHjh1CCCG++uorMX78+Hcaa12VnZ0tAIjjx48LIYQoLS0VpqamYuHChVKd/Px8oa+vL9asWSOEEGLRokWib9++0nFjY2PpC5Hhw4eLZcuWvcM7UGx//vmnaN68uTh8+LD44IMPpCSd/fxmfPHFF+L999+v9Dj7+c3o2rWrGDJkiFxZr169xIABA4QQ7Oe/g9PdiYiIqM4pLCxEQkICPvzwQ7nyDz/8EKdOnYKTkxNSU1ORkZGB9PR0pKamwtHRETdv3sSmTZswb968Woq8bsnNzQUAGBoaAgDS0tKQlZUl1+/q6ur44IMPcOrUKQCAs7Mz4uPj8ejRIyQkJOD58+ewtrZGXFwcEhMTMX78+Hd/IwpqzJgx6Nq1K3x9feXK2c9vxt69e+Hh4YE+ffrA2NgYrq6uWL9+vXSc/fxmvP/++4iOjkZqaioA4OLFi4iLi0OXLl0AsJ//DibpREREVOc8ePAAJSUlMDExkSs3MTFBVlYW7OzsMH/+fHTs2BEffvghFixYADs7OwQGBmLx4sWIioqCo6MjXF1dceLEiVq6C8UmhMCkSZPw/vvvw9HREQCQlZUFAJX2OwD4+flhwIABeO+99xAQEIDNmzdDW1sbo0aNwtq1a7F69WrY2trC29u73Dup/yYRERFITEzEggULyh1jP78Zt2/fxurVq9G8eXNERUUhMDAQ48ePxw8//ACA/fymfPHFF+jfvz9atGgBVVVVuLq6IigoCP379wfAfv47VGo7ACIiIqK/SyaTye0LIaSywMBABAYGSsc2bdoEXV1deHl5wdbWFufPn8fvv/+Ofv36IS0tDerq6u80dkU3duxYXLp0CXFxceWOVdXvABAaGorQ0FC5fV9fX6iqqmLevHm4fPky9u/fj0GDBskt4vVvcffuXUyYMAG//fYbNDQ0Kq3Hfn49paWl8PDwwPz58wEArq6uuHr1KlavXo1BgwZJ9djPr2f79u348ccfsW3bNjg4OCApKQlBQUFo2LAhBg8eLNVjP1cfR9KJiIiozqlfvz6UlZWlUZgy2dnZ5UZrgBcj73PmzME333yDs2fPwsbGBs2bN0f79u1RVFQkTdOkF8aNG4e9e/fi2LFjMDc3l8pNTU0BoNr9DgDXrl3D1q1bMXfuXMTExKBt27Zo0KABPv30UyQmJiIvL+/t3YiCSkhIQHZ2Ntzd3aGiogIVFRUcP34cK1euhIqKitSX7OfXY2ZmBnt7e7kyOzs7ZGRkAODn+U2ZMmUKpk2bhn79+sHJyQkDBw7ExIkTpVki7OeaY5JOREREdY6amhrc3d1x+PBhufLDhw+jdevW5eoHBQVh4sSJMDc3R0lJCYqKiqRjxcXF/Cm2/yOEwNixY7F7924cPXoUTZs2lTvetGlTmJqayvV7YWEhjh8/XmG/CyEwYsQIhIWFQUdHR67vy/735Z9p+rfo0KEDLl++jKSkJGnz8PCAv78/kpKSYGVlxX5+A7y9vcv9hGBqaiosLS0B8PP8pjx79gxKSvJppbKystQX7Oe/oZYWrCMiIiJ6LWU/wbZhwwaRnJwsgoKChLa2trhz545cvd9++014enqKkpISIYQQv//+u9DQ0BAHDx4Ua9euFUZGRuLZs2e1cQsKZ9SoUUJfX1/ExMSIzMxMaXu5fxYuXCj09fXF7t27xeXLl0X//v3lfkrpZWvXrhW9e/eW9s+ePSv09PTE6dOnxaxZs4S9vf07ua+64OXV3YVgP78J586dEyoqKuKrr74SN27cEFu3bhVaWlrixx9/lOqwn1/f4MGDRaNGjaSfYNu9e7eoX7++mDp1qlSH/VwzTNKJiIiozlq1apWwtLQUampqws3NTfqpsDLPnj0TNjY24sKFC3Ll69evFyYmJqJx48Zi//797zBixQagwi08PFyqU1paKkJCQoSpqalQV1cXbdu2lX6D/mVZWVnC0tJS3Lt3T6589uzZwtDQULRo0UKcPXv2bd9SnfHXJJ39/Gbs27dPODo6CnV1ddGiRQuxbt06uePs59eXl5cnJkyYIBo3biw0NDSElZWV+O9//ysKCgqkOuznmpEJIURtjuQTERERERER0Qt8J52IiIiIiIhIQTBJJyIiIiIiIlIQTNKJiIiIiIiIFASTdCIiIiIiIiIFwSSdiIiIiIiISEEwSSciIiIiIiJSEEzSiYiIiIiIiBQEk3QiIiIiIiIiBcEknYiIiIgUjkwmwy+//FLbYVSbEAIjRoyAoaEhZDIZkpKSajskOTExMZDJZHj8+HGtxnHnzh2F7B8AaNeuHYKCgmo7DCIm6URERET0bmVnZ2PkyJFo3Lgx1NXVYWpqCj8/P5w+fbq2Q/vbDh06hE2bNmH//v3IzMyEo6NjuTpliXJFW1ZWVi1Erbhu3ryJIUOGSJ+RRo0aoUOHDti6dSuKi4trO7xqCw0NhYuLS22HQXWMSm0HQERERET/Lr1790ZRURE2b94MKysr/O9//0N0dDQePnz4Vq9bWFgINTW1t9L2rVu3YGZmhtatW7+y7vXr16GnpydXZmxs/FbiqovOnTsHX19fODg4YNWqVWjRogWePHmC5ORkrFmzBo6OjnB2dq7w3KKiIqiqqr7jiIneLI6kExEREdE78/jxY8TFxWHRokVo3749LC0t4enpienTp6Nr165ydR88eICPP/4YWlpaaN68Ofbu3SsdKykpwdChQ9G0aVNoamrC1tYWX3/9tdz5AQEB6NmzJxYsWICGDRvCxsYGAHDv3j307dsX9erVg5GREXr06IE7d+5UGffx48fh6ekJdXV1mJmZYdq0adKIbkBAAMaNG4eMjAzIZDI0adKkyraMjY1hamoqtykpKcnFPH/+fJiYmMDAwACzZ89GcXExpkyZAkNDQ5ibm2Pjxo1Se2VTyCMiItC6dWtoaGjAwcEBMTExVcaxa9cuODg4QF1dHU2aNEFYWJh0bM6cOXBycip3jru7O2bNmiXth4eHw87ODhoaGmjRogW+++47ufrnzp2Dq6srNDQ04OHhgQsXLlQZkxACAQEBsLGxwcmTJ9GtWzc0b94crq6u8Pf3R2xsLFq2bCl33zt27EC7du2goaGBH3/8ETk5Oejfvz/Mzc2hpaUFJycn/PTTT3LXefr0KQYNGgQdHR2YmZnJ3XuZil65MDAwwKZNm6T9L774AjY2NtDS0oKVlRVmzpyJoqIiAMCmTZswe/ZsXLx4UZoxUXZubm4uRowYAWNjY+jp6cHHxwcXL16U2r148SLat28PXV1d6Onpwd3dHfHx8VX2Hf2DCCIiIiKid6SoqEjo6OiIoKAgkZ+fX2k9AMLc3Fxs27ZN3LhxQ4wfP17o6OiInJwcIYQQhYWFYtasWeLcuXPi9u3b4scffxRaWlpi+/btUhuDBw8WOjo6YuDAgeLKlSvi8uXL4unTp6J58+ZiyJAh4tKlSyI5OVl89tlnwtbWVhQUFFQYy++//y60tLTE6NGjRUpKioiMjBT169cXISEhQgghHj9+LObMmSPMzc1FZmamyM7OrrCdY8eOCQDi0aNHld734MGDha6urhgzZoy4du2a2LBhgwAg/Pz8xFdffSVSU1PF3LlzhaqqqsjIyBBCCJGWlib1186dO0VycrIYNmyY0NXVFQ8ePKjw2vHx8UJJSUnMmTNHXL9+XYSHhwtNTU0RHh4uhBDi7t27QklJSZw7d06K7eLFi0Imk4lbt24JIYRYt26dMDMzE7t27RK3b98Wu3btEoaGhmLTpk1CCCGePHkiGjRoIPr27SuuXLki9u3bJ6ysrAQAceHChQrvPzExUQAQP/30U6V9VKbsvps0aSLFcO/ePfH777+LJUuWiAsXLohbt26JlStXCmVlZXHmzBnp3FGjRglzc3Px22+/iUuXLomPPvpI6OjoiAkTJkh1AIjIyEi5a+rr60t9JIQQc+fOFSdPnhRpaWli7969wsTERCxatEgIIcSzZ89EcHCwcHBwEJmZmSIzM1M8e/ZMlJaWCm9vb9GtWzdx/vx5kZqaKoKDg4WRkZH0+XZwcBADBgwQKSkpIjU1VezYsUMkJSW9sk/on4FJOhERERG9Uzt37hT16tUTGhoaonXr1mL69Oni4sWLcnUAiBkzZkj7T548ETKZTPz666+Vtjt69GjRu3dvaX/w4MHCxMRELvnesGGDsLW1FaWlpVJZQUGB0NTUFFFRURW2++WXX5Y7Z9WqVUJHR0eUlJQIIYRYvny5sLS0rPK+yxJlbW1tuc3GxkYuZktLS6ldIYSwtbUVbdq0kfaLi4uFtra2lMiWJasLFy6U6hQVFQlzc3MpYfxrkv7ZZ5+Jjh07ysU3ZcoUYW9vL+137txZjBo1StoPCgoS7dq1k/YtLCzEtm3b5NqYO3eu8PLyEkIIsXbtWmFoaCiePn0qHV+9enWVSXpERIQAIBITE6Wy//3vf3L9tWrVKrn7XrFiRYVtvaxLly4iODhYCCHEn3/+KdTU1ERERIR0PCcnR2hqatY4Sf+rxYsXC3d3d2k/JCREODs7y9WJjo4Wenp65b6katasmVi7dq0QQghdXV3pyw769+E76URERET0TvXu3Rtdu3ZFbGwsTp8+jUOHDmHx4sX4/vvvERAQINUrm9YMANra2tDV1UV2drZUtmbNGnz//fdIT0/H8+fPUVhYWG6RLicnJ7n30BMSEnDz5k3o6urK1cvPz8etW7cqjDclJQVeXl6QyWRSmbe3N548eYLff/8djRs3rtH9x8bGyl1fRUX+T3IHBwdp+jsAmJiYyC1Ep6ysDCMjI7m+AAAvLy+5Nj08PJCSklLpPfXo0UOuzNvbGytWrEBJSQmUlZUxfPhwDBkyBMuWLYOysjK2bt0qTQv/448/cPfuXQwdOhTDhw+X2iguLoa+vr50DWdnZ2hpaVUYY1Ve7msjIyNpNfh27dqhsLBQrq6Hh4fcfklJCRYuXIjt27fj3r17KCgoQEFBAbS1tQG8WD+gsLBQLhZDQ0PY2tpWK7aX7dy5EytWrMDNmzfx5MkTFBcXl1tv4K8SEhLw5MkTGBkZyZU/f/5c+gxOmjQJw4YNw5YtW+Dr64s+ffqgWbNmNY6P6iYm6URERET0zmloaKBjx47o2LEjZs2ahWHDhiEkJEQuSf/rAmAymQylpaUAgB07dmDixIkICwuDl5cXdHV1sWTJEpw9e1bunLLErExpaSnc3d2xdevWcjE1aNCgwliFEHJJY1lZWUw11bRpUxgYGFR6vKL7rqovqlJZfFXdU5lu3bpBXV0dkZGRUFdXR0FBAXr37g0A0rXXr1+PVq1ayZ2nrKxcYXvV0bx5cwDAtWvXpC9clJWVYW1tDaD8FxpA+WccFhaG5cuXY8WKFXBycoK2tjaCgoKk5L66cclksnJ1y943B4AzZ86gX79+mD17Nvz8/KCvr4+IiIgK329/WWlpKczMzCpcM6DscxEaGorPPvsMBw4cwK+//oqQkBBERETg448/rlbsVLcxSSciIiKiWmdvb1+j30WPjY1F69atMXr0aKmsspHwl7m5uWH79u3Sgl3VjW3Xrl1yie2pU6egq6uLRo0aVTvmt+3MmTNo27YtgBcj2gkJCRg7dmyFde3t7REXFydXdurUKdjY2EhJtoqKCgYPHozw8HCoq6ujX79+0qi4iYkJGjVqhNu3b8Pf37/Sa2zZsgXPnz+HpqamFGNVXF1d0aJFCyxduhSffvqp3IyC6oqNjUWPHj0wYMAAAC+S4hs3bsDOzg4AYG1tDVVVVZw5c0aaBfHo0SOkpqbigw8+kNpp0KABMjMzpf0bN27g2bNn0v7JkydhaWmJ//73v1JZenq6XCxqamooKSmRK3Nzc0NWVhZUVFSqXGTQxsYGNjY2mDhxIvr374/w8HAm6f8SXN2diIiIiN6ZnJwc+Pj44Mcff8SlS5eQlpaGn3/+GYsXLy43/boq1tbWiI+PR1RUFFJTUzFz5kycP3/+lef5+/ujfv366NGjB2JjY5GWlobjx49jwoQJ+P333ys8Z/To0bh79y7GjRuHa9euYc+ePQgJCcGkSZP+VhKZnZ2NrKwsue3lEdq/a9WqVYiMjMS1a9cwZswYPHr0CEOGDKmwbnBwMKKjozF37lykpqZi8+bN+PbbbzF58mS5esOGDcPRo0fx66+/lmsrNDQUCxYswNdff43U1FRcvnwZ4eHhWLZsGQDgs88+g5KSEoYOHYrk5GQcPHgQS5curfIeZDIZwsPDcf36dXh7e2Pv3r24ceOG9PNrf/zxh/QlQmWsra1x+PBhnDp1CikpKRg5cqTc79Dr6Ohg6NChmDJlCqKjo3HlyhUEBASUe5Y+Pj749ttvkZiYiPj4eAQGBsrNaLC2tkZGRgYiIiJw69YtrFy5EpGRkXJtNGnSBGlpaUhKSsKDBw9QUFAAX19feHl5oWfPnoiKisKdO3dw6tQpzJgxA/Hx8Xj+/DnGjh2LmJgYpKen4+TJkzh//rz0JQP9C9Te6/BERERE9G+Tn58vpk2bJtzc3IS+vr7Q0tIStra2YsaMGeLZs2dSPbxi0a78/HwREBAg9PX1hYGBgRg1apSYNm2a3CJdgwcPFj169CgXQ2Zmphg0aJCoX7++UFdXF1ZWVmL48OEiNze30rhjYmLEe++9J9TU1ISpqan44osvRFFRkXS8JgvHVbSdPn260pg/+OADuQXNhBDC0tJSLF++XAjx/xdQ27Ztm2jVqpVQU1MTdnZ2Ijo6uty1X15ZfufOncLe3l6oqqqKxo0biyVLllQYd5s2beQWlHvZ1q1bhYuLi1BTUxP16tUTbdu2Fbt375aOnz59Wjg7Ows1NTXh4uIidu3aVeXCcWWuX78uBg8eLMzNzYWKiorQ19cXbdu2FWvXrpX6vey+/9pWTk6O6NGjh9DR0RHGxsZixowZYtCgQXL9+ueff4oBAwYILS0tYWJiIhYvXlyun+/duyc+/PBDoa2tLZo3by4OHjxYbuG4KVOmCCMjI6GjoyP69u0rli9fLvT19aXj+fn5onfv3sLAwEAAkM7Ny8sT48aNEw0bNhSqqqrCwsJC+Pv7i4yMDFFQUCD69esnLCwshJqammjYsKEYO3aseP78eZV9Rv8cMiH+xssiRERERESkEO7cuYOmTZviwoUL5RbOe11CCLRo0QIjR47EpEmT3mjbRFQxvpNORERERETlZGdnY8uWLbh37x4+//zz2g6H6F+DSToREREREZVjYmKC+vXrY926dahXr15th0P0r8Hp7kREREREREQKgqu7ExERERERESkITncnIiIiojrtZI/eb61t7z27qlWvuLgY8+fPx7Zt26CsrIySkhK0bdsWixcvxtOnTxEcHIxz585BWVkZDRs2xIIFC9C6deu3FjcAdAve81ba3RdWvZ/Ka9KkCTQ0NKChoYHnz5/j888/x7Rp0/7WNR8/fox169Zh6tSpNT63sLAQvXr1QkZGBtq0aYNVq1bJHZfJZPjzzz+ho6MjF/v+/fvh6OgoV7eoqEj6+ToVFRUUFRVh2LBhXFSP3igm6UREREREr2no0KF4+PAhTp8+jXr16qG0tBS7du3CvXv30LNnTwwbNgwREREAgOjoaHTv3h1Hjx5Fy5Ytaznyt2vnzp1wdHTE/fv3YW9vDx8fH3h6eta4ncePH2Px4sV/K0m/cOEC0tLScPXq1Rqf+1crV65EVlYWLl68CBUVFeTn5+PWrVuv3S7RyzjdnYiIiIjoNdy8eRM///wzwsPDpQXWlJSU0KdPHylp/+KLL6T6HTp0wJAhQ7BkyZLaCvmda9iwIWxtbZGeng4AyMrKwqeffgpPT0+0bNkSs2bNAgCUlpZi7NixaNGiBZydneHu7o78/HwEBgbi8ePHcHFxgYeHR4XXWLx4MRwcHODk5AR/f3/k5uYiOTkZ/v7+SEtLg4uLC3744YfXuo+MjAyYmppCReXFWKeGhgYcHBxeq02iv2KSTkRERET0GhITE9G8eXPUr1+/wmNeXl7lyr28vJCYmPguwlMI165dw4MHD9CuXTsAwODBgzF27FicO3cOiYmJOHfuHCIjI3Hx4kVER0cjOTkZFy9exNGjR6GmpoY1a9bAwMAASUlJiI+PL9f+r7/+ivDwcJw8eRKXL1+GtrY2vvzyS9jb2+P777+Hvb09kpKSMGjQoNe6jxEjRiAyMhIODg4YPnw4IiIiUFJS8lptEv0Vp7sTEREREb1FMpmsXNm/5QeWPvnkE8hkMly/fh3Lly9HgwYN8PTpUxw9ehT/+9//pHpPnjzBtWvX4OPjg6KiIgwZMgTt27dH165doaT06nHFI0eOwN/fHwYGBgCAUaNGoV+/fq8Ve0XPzcHBAbdu3UJcXBxOnTqFkJAQbNmyBQcOHHitaxG9jEk6EREREdFrcHNzw40bN5CTkwMjI6Nyx9atW1funDNnzsDNze1dhVhryt5JP3LkCLp16wYfHx80adIEMpkM58+fh6qqarlzrl69iuPHj+PYsWOYPn06Tpw4IU0vr4wQolxSXVGSXZEGDRrgwYMHcgvHPXjwAMbGxhXWV1NTg4+PD3x8fDBs2DCYmZnh4cOHMDQ0rNb1iF6F092JiIiIiF6DtbU1evfujaFDh+Lx48cAXiSNP/zwA7y8vJCTk4NFixZJ9Y8ePYoNGzZg8uTJtRTxu+fr64tRo0ZhxowZ0NXVRZs2bbBw4ULp+P379/H777/jjz/+wNOnT/Hhhx9i/vz5aNKkCZKTk6Gnp4dnz56huLi4wvY7duyIiIgI/PnnnwCAdevWwdfXt1qx+fn5YfXq1dL+Dz/8ABsbGzRo0KBc3RMnTiAzM1PaT0hIgKGhoTSCT/QmcCSdiIiIiOg1bdy4EfPmzUOrVq2goqICIQTatm2L7t27IyYmBsHBwWjatClUVFRgamqKPXv2wNnZubbDfqdmzpwJa2trJCQkYOvWrZg0aRKcnJwAADo6OlizZg1KSkowfPhwFBUVobS0FK1bt0bnzp2hqqoKf39/ODk5QVtbu9x76Z07d8bly5fh5eUFmUyGli1b4rvvvqtWXCtWrEBQUBBatmwJJSUlmJmZYfv27dLxYcOGoXv37ujevTsyMjIQFBSE/Px8qKmpQUdHB3v27IGSkhLu37+PLl26ICkp6Y31Gf07ycS/5YUYIiIiIiIiIgXH6e5ERERERERECoJJOhEREREREZGCYJJOREREREREpCCYpBMREREREREpCCbpRERERERERAqCSToRERERERGRgmCSTkRERERERKQgmKQTERERERERKQgm6UREREREREQKgkk6ERERERERkYJgkk5ERERERESkIJikExERERERESkIJulERERERERECoJJOhEREREREZGCYJJOREREREREpCD+H4zRkHpNwpH/AAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Chi-squared test of homogeneity: CO vs. Rest of U.S. industry mix (Health Professions, Year 1)\n", " chi2 = 349.2, dof = 19, p-value = 1.47e-62\n", " Cramer's V = 0.021 (0 = no association, 1 = perfect association)\n", " n = 792,691 employed grads across 20 industry categories\n" ] } ], "source": [ "co_breakdown_y1, co_total_y1 = compute_state_industry_breakdown(\n", " industry_state_df, allind_state_df, TARGET_CIP, ANCHOR_STATE_INSTITUTION_FIPS, year=\"y1\"\n", ")\n", "\n", "# \"Rest of U.S.\" = national total minus Colorado's own contribution, so the\n", "# two groups compared below are independent of each other.\n", "national_y1 = national_breakdowns[\"y1\"]\n", "rest_of_us = national_y1.copy()\n", "rest_of_us[\"emp\"] = (rest_of_us[\"emp\"] - co_breakdown_y1[\"emp\"].reindex(rest_of_us.index).fillna(0)).clip(lower=0)\n", "rest_of_us_total = rest_of_us[\"emp\"].sum()\n", "rest_of_us[\"pct_of_total\"] = (rest_of_us[\"emp\"] / rest_of_us_total * 100) if rest_of_us_total else np.nan\n", "\n", "plot_industry_group_comparison(\n", " {ANCHOR_STATE: co_breakdown_y1, \"Rest of U.S.\": rest_of_us},\n", " title=f\"Industry Mix, Year 1: {STATE_NAMES[ANCHOR_STATE]} vs. Rest of U.S.\\n{TARGET_LABEL}, {DEGREE_LABEL} Degrees\",\n", " save_path=os.path.join(FIGURES_DIR, \"rq1c_co_vs_restofus_industry_mix.png\"),\n", " color_map={ANCHOR_STATE: GROUP_COLORS[TARGET_CIP], \"Rest of U.S.\": GROUP_COLORS[\"OTHER\"]},\n", ")\n", "\n", "aligned_1c = align_industry_counts({ANCHOR_STATE: co_breakdown_y1, \"Rest of U.S.\": rest_of_us}, count_col=\"emp\")\n", "collapsed_1c = collapse_sparse_industries(aligned_1c, min_count=MIN_EXPECTED_CELL)\n", "result_1c = run_chi2_homogeneity(collapsed_1c)\n", "\n", "print(f\"Chi-squared test of homogeneity: {ANCHOR_STATE} vs. Rest of U.S. industry mix ({TARGET_LABEL}, Year 1)\")\n", "print(f\" chi2 = {result_1c['chi2']:.1f}, dof = {result_1c['dof']}, p-value = {result_1c['p_value']:.2e}\")\n", "print(f\" Cramer's V = {result_1c['cramers_v']:.3f} (0 = no association, 1 = perfect association)\")\n", "print(f\" n = {result_1c['n']:,.0f} employed grads across {collapsed_1c.shape[0]} industry categories\")\n" ] }, { "cell_type": "markdown", "id": "3f3857cc", "metadata": {}, "source": [ "---\n", "## RQ2: Staying vs. Leaving\n", "\n", "### RQ2a: Colorado, Year 1 -- top industries among in-state stayers vs. out-of-state leavers\n", "\n", "Of Colorado CIP 51 grads employed at Year 1, which industries do the\n", "in-state stayers work in, and how does that compare to the industries of\n", "those employed out-of-state?\n" ] }, { "cell_type": "code", "execution_count": 44, "id": "3d6f77f1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Saved to figures\\rq2a_co_instate_outstate_industry.png\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Top 5 industries among in-state stayers:\n", " Health Care and Social Assistance 15,213 grads\n", " Administrative and Support and Waste Management and Remediation Services 431 grads\n", " Public Administration 404 grads\n", " Retail Trade 168 grads\n", " Management of Companies and Enterprises 159 grads\n", "\n", "Top 5 industries among out-of-state leavers:\n", " Health Care and Social Assistance 1,609 grads\n", " Retail Trade 124 grads\n", " Administrative and Support and Waste Management and Remediation Services 94 grads\n", " Public Administration 83 grads\n", " Accommodation and Food Services 65 grads\n" ] } ], "source": [ "plot_instate_outstate_split(\n", " co_breakdown_y1,\n", " title=f\"{STATE_NAMES[ANCHOR_STATE]} {TARGET_LABEL} Grads, Year 1: In-State vs. Out-of-State by Industry\\n({DEGREE_LABEL} Degrees, All Cohorts)\",\n", " save_path=os.path.join(FIGURES_DIR, \"rq2a_co_instate_outstate_industry.png\"),\n", ")\n", "\n", "top_instate = co_breakdown_y1.sort_values(\"instate_emp\", ascending=False).head(5)\n", "top_outstate = co_breakdown_y1.sort_values(\"outstate_emp\", ascending=False).head(5)\n", "\n", "print(\"Top 5 industries among in-state stayers:\")\n", "for code_, row in top_instate.iterrows():\n", " print(f\" {row['industry_label']:55s} {row['instate_emp']:>7,.0f} grads\")\n", "\n", "print(\"\\nTop 5 industries among out-of-state leavers:\")\n", "for code_, row in top_outstate.iterrows():\n", " print(f\" {row['industry_label']:55s} {row['outstate_emp']:>7,.0f} grads\")\n" ] }, { "cell_type": "markdown", "id": "e62954ec", "metadata": {}, "source": [ "### RQ2b: Does the in-state / out-of-state industry split change shape over time?\n", "\n", "Tracking the HHI of the in-state industry mix and the out-of-state\n", "industry mix separately across Year 1, Year 5, and Year 10 shows whether\n", "either group's industry mix diversifies (HHI falling) or stays put (HHI\n", "flat) the longer grads are out.\n" ] }, { "cell_type": "code", "execution_count": 46, "id": "0a9ad772", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "In-State:\n", " Year 1: HHI = 7,942\n", " Year 5: HHI = 7,318\n", " Year 10: HHI = 7,329\n", "Out-of-State:\n", " Year 1: HHI = 4,837\n", " Year 5: HHI = 4,810\n", " Year 10: HHI = 5,442\n", "Saved to figures\\rq2b_hhi_trend_instate_outstate.png\n" ] }, { "data": { "image/png": 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VHTZsmMjIyBBZWVniypUrYs2aNVLAqfljypQpU8T9+/dFRkaGOH/+vPjqq6/E0aNHpfnr+q5fuHChNCwwMFBcu3ZN3L17V4wePVoa/txzz+lctlatWokrV66IuLg40bx5c2m4+sqk5o+nW7ZsEfn5+SIpKUmEhISIjz76qNTVkJI0zw1WrFghDb9+/Xqp/bpz587SeM39yN7eXvz+++/Surt//75ITEwU27dvF9HR0eL+/fsiLy9PnDt3TjRo0EAAEObm5iItLU0IIcQPP/wgTatRo0bi3LlzIjU1Vbz++uta81cbMGCAAIqDxGvXron8/HwRGxsr9u7dK+bMmVPm8lY3Bha1iDGBxTvvvCMN1zyhmzRpkhBCiH379knD2rdvrzX9F198sdSXpRDlCyw0o+YBAwaIzz//XOzcuVPExMSUWh5jA4smTZpoBSRq48aNk8qcPXtWZGZmSr/69OnTx9Dq1DogLVmyxGD5l156SeukSa2goEC6/QqA9CuL5kFGs7zml7c64NO89NqjRw+9bfjggw+M+hJXn5CVpw1ClC+w+Pvvv0uNT05OFlOnThXNmjXT+gVO/bK0tNQqr2/fEkJ3YHHgwAGtLyNNb7/9tjTuww8/FEJo70ea5e/duycNDwgI0Lu+hSi+PU1zGcoTWBw/flwapj7B/fLLL6VhGzduFELo/sLS9fryyy9LLZe+z4chlRFYeHh4SPPeu3evNNzLy0s62Vu1alWpfU1zO5b1Knlrm7H69u0rTWPKlCkGy2t+rjSPoUII8dhjj0nj1Ldo6fqcrF27Vho2ZMgQrWkMGjRIGvfdd98JIbT3b31XVXbu3Cl69eolnJ2dpeBE8/X5558LIbTX8bBhw7Sm0bVrV2mc+uS+vMurT0UCC831VNZLfftRVlaWmD17tmjTpo2wsbHReaUjISFBCFE5gYUxx0l9DC2TtbW11pUBzXElvyPLe6wTQn9gUZ7vjaKiIuHo6CiA4qs306ZNE99995343//+J3Jzc6VpJiUlSVdTmjRpImbOnCnWr18vTp8+LV05UNP1Xd+9e3dp2G+//SYNT01NlbaxXC4XOTk5pZZNs7zmlTd18Ldr1y5p2JNPPinmzp0rtm7dWuqWL330nRuUJ7D49NNPS023oKBAfPnll6Jjx46ifv36Ovdl9V0PL7zwgjRM80pnVlaW1tUYtalTpwqg+AeoUaNGicWLF4s9e/aIxMREo5a5OrHzdh3TvHlz6W8bGxvp79zcXADQSo3m7e2tVdfX17fMaQshtN7r6oz0+uuvY8yYMVAoFNi9ezfef/99DBkyBD4+PujVqxeysrKMX5gHAgMDYWZWelecPn269Pfy5cuxfft2qdPja6+9ZnC6jRs3lv6+ePGiwfKJiYnS35rrSi6Xo0GDBjrLqRnaLgkJCdKw1q1bG9WGsqSkpJS7DeVVMrOJSqVCz549sWzZMly5ckVnB9SKzktN3zYAoNW5uCLbQJ+S87l161apMjdv3tR67+PjAwB4/PHHpflu3rwZhYWF2LBhAwDAyckJw4YN09teXXSlNtT3+agOjRo1kuat2RFanQ4RAJRKpTRcva5NWV5jVNZnGzC8X1XGNHRlCdq2bRuGDBmCgwcP4u7du6WykQH/dfIu73G9Mpa3pI8//lgrAYAQwuC8y6JephdeeAFz587FuXPncP/+fZ0dgCuzs3tlHyfV3w+jR4/G6dOn0aFDh1JlXFxcSm23ytxG5fneMDMzw+bNm9GoUSMkJCRg8eLFeOWVV9C9e3cpCYK6zevWrYO7uztu3LiBBQsWYNy4cejQoQO8vb1x5MgRo9ukuXwODg6oX78+gOJzjNTU1FJ1DW2jQYMGYdq0abC2tsbff/+N2bNnY8SIEfD390f79u1x586dMtumefzQTEndpEkTCCEMLhug+zP9zjvvYPr06Th16hQyMzPL3Jf1faZtbGzg7Oxcqt7HH3+Mfv36QSaTYdOmTZg2bRr69+8PDw8PjBo1Sufxo6YwsKhjFAqF9LeuHMeaO2RsbKzWOHXq15LUJwaamSpUKpXOEywLCwv89NNPSEtLQ0hICDZu3IgXX3wRAHDo0CEsX768zPbpYm1trXN4y5Yt0bdvXwDAxo0bsWrVKgBAgwYN0L9/f4PTHTRokPT3pk2b9D6vQh1Aubm5ScM011VRURHi4uKk95rl1AxtF3d3d+nvCxcu6G2z5rQXLFhQ6otcCAGVSoWAgIByt6Gs4bqU3C7nz5/HuXPnpHaeP38ehYWFyMzMNHqahujbBgC0nrNQkW2gj7u7u1ba3R9++KFUme+//176OzAwUGv+r776KoDiFMaLFi2SnncxduxY6bOlWb5Zs2Y6t6sQAvPnzy81b32fj+qgLyOKoUwpmssbFBSkdz+eNGlShdql+dk+fPgwwsLCdJYz9NkGDO9XusaVdxq6tuHGjRulv2fMmCGdiAQHB5cqW97jemUsb0VpTnPSpEl6t31QUBDS09OlLGtKpRL//PMPCgoKIISAo6Oj0fMsz+e9oseJktRZodTpZjds2KB1QqxJ1/avzG1U3u+NZ599Fjdv3sSNGzfwxx9/YMmSJXB3d0d6ejpeeeUV6ST1pZdewp07d3Dp0iX89ttvmD9/PurVq4f4+Hi8/vrrRrdJc/nS0tKk7wy5XK5zOxuzjb788kukpqbi1KlT2Lp1K958800AwL///otPP/20zLZpHj82btxYoWdZ6dqmP//8s/T3jh07kJeXByEE2rVrV6qsvs/0/fv3df7gYm9vjz179iAlJQV///03fvzxRwQFBUGlUuGXX37Br7/+Wu5lqCoMLB4y3bp1Q7169QAUp6b7/vvvkZWVhT///BM7duzQWUf968jdu3cRGhoKIQSWLl2K+Pj4UmW3b9+Or776CpGRkWjevDmGDRuGXr16SeM1P6BOTk7S3xVNiTdjxgwAxUHPyZMnARSfyBmTInbs2LHS1YGcnBwEBQXhr7/+QnZ2NrKzsxESEoIJEyZg5cqVAICBAwdKdZcuXYqIiAhkZmZi9uzZ0hWCFi1aaP3aYay+ffvC0tISQHGawI8++giJiYnIzMzEkSNHsGXLFgDQyr++cOFC7NmzR0qPGxoairfffhtDhw4t9/zVNLfJhQsXypUiT/Nk0tzcHPXq1UNGRobOE6GS87t79y5u375tcB7dunWT6pw5cwarVq1CVlYWjh07pvWgsgEDBhjdbmOoc+ADwMqVK/HNN98gIyMDGRkZ+Oqrr7B69WqdZQHtAOKjjz6ShqsDDqD4l7BWrVoBAK5cuYLp06cjPj4eBQUFuHXrFlasWIE2bdroDf7rmu7du8PFxQUAsH//fnz55ZdISUlBXl4erly5gi+++AJNmjTRqqN+IJQxaW979eqFoKAgAMVXWocMGYJff/0VmZmZyM3NxZkzZxAcHIwPP/wQgPZne/369Th27BiysrKwYsUKKRB0dnZGt27d9M6zT58+sLCwAADs2bMHu3btwv3797Fz50788ccfAIp/eFG3yxDNz5O1tTUUCgWOHz+OH3/8Uefyqk+wdu/ejT179iArKws//vhjqTz8lbW8FdW3b1/p87Bu3Tr89NNPyMjIQE5ODiIiIvDhhx9K85XL5dJymZmZwdbWFjk5Ofj44491/pKtj+Zx7fr167h//34lLlHVqMxjXXm/N958803s27cPFhYW6NWrF0aOHAlPT08AxSe2KSkpuHv3LoKDg3Hs2DHY2dmhb9++GDFiBBwcHADA4Mm45j746aef4saNG0hNTcXUqVOlX/J79+4tfS+Wx7FjxzB//nxcvHgRfn5+GDx4sNY6MNS2sWPHok2bNgCKzw169+6NPXv24N69e8jNzcWNGzfK3SZA+zNta2uLwsJCrFmzptRztIDiZVdbunQpzp8/j/T0dMyYMUPn9/LatWuxdu1aJCQkoG3btnj++ee1Pr+16kG/VXaTFZWbMX0sNO+L13dfqb6sUOqOcyWnM2/ePGm4TCaTOn+rO89B437OuXPnlnkPp2a2D11ZTNSdWQ3dE6tJM3OCXC4Xt2/fNnqdxsTElJkBA4BYunSpEKI4K5SubDfql7W1tfjf//4nTVtfmkd92Y6MzQo1c+bMMtur2SG4vG04ffq0zmmqt29Z/WIKCwulDsiaL39/f633mtQdzjRf6u2tr43btm0rM+PH1KlTpbJl7Ufq4br6d+iyePFinfe5q1/m5uZ6++poJlLAg/t+SwoLC9PqlFnWdijP50Ofyko3q6bZJs3h+rbj77//LnUc1ffSVN7tlZ6eLnr27Fnm9DU/V+p7lHW91J2xda07zWOloaxoy5YtM7he1DZv3qxzGpqfJ816+rJCaR7XNY8B5VlefSqaFWrlypV6s0KV3MaandXVL1dXV2Fvb2/05yInJ0drPZTcduU9Tuqj67NqTHl9+3R5jnVC6O9jIUT5vjfKOs6p+2bGxsaWOT3Nvj66vjeys7O1+v/o2saafSL0LZuuz+KGDRvKbJtmnwV94uLiRLt27cqcDqC/j0XJ9MpCaKclV7+sra2lztua9fRlhbK2ttY691KbMGFCmZ9nXdkMawqvWDyEgoODsWrVKjRt2hQKhQJNmjTBsmXL8MYbb+gsP2PGDMyaNQu+vr6wsLBAs2bNsGvXLnTs2LFU2Z49e2LMmDFo1qwZ7OzsYGZmBgcHB/To0QM7duzQukVpzpw5eOmll+Dm5mbSJWfNvhYDBgyQflkxhre3N06ePInvv/8eQUFBcHV1hUKhgLOzM9q3b48PPvgAQ4YMAVD8i+mvv/6KVatWoUuXLrC1tYVcLoe3tzfGjh2LM2fOmPQL36uvvoqQkBCMHDkSXl5eUCgUsLe3R6dOnfD4449L5ebPn489e/bgueeeg4uLC+RyOVxcXNCuXTu88847WLBgQYXb0L59e6xYsQJNmzaVfn01lrm5OXbv3o3BgwdL98kOGzYMhw8f1lvnm2++wYABA7R+UTRk2LBhOHHiBIYPHw53d3fI5XLY2dmhR48e2Lx5M5YuXVqudhsrODgY4eHhmDBhAho3bgxLS0tYWlqicePGGD9+PE6fPq33qdsTJ04s8z0AdOzYEefOncMbb7yBJk2aQKlUol69emjatCmGDx+O9evXl2vfru0GDBiA8PBwvPzyy/Dx8YFCoYCdnR2aN2+Ol19+WbpKBxTfRqam6x51Xezs7LB//378+uuvGDRoEDw9PWFhYQEHBwe0adMG77zzjtZ2WLp0KbZs2YKnn34a9vb2kMvlcHd3x/PPP4+QkBCpP0xZpk6digMHDqBfv35wdnaGubk5nJyc8Nxzz2H//v14++23jV4/I0eOxKpVq+Dv7w+lUomAgACsXbtWurW0pGXLluGzzz6Dt7c3LCws0KpVK2zcuBHPPfeczvKVsbwV9dprr+H48eN4/vnn4eHhId3y0rp1a7z22mtYs2aNVHbDhg0YO3YsXFxcYG1tjWeffRZHjx6FnZ2d0fOztLTE1q1b0alTJ+mKfV1Qmce68nxvzJw5Ez169ICHhwcsLCxgYWGBxo0bS1cygOK+ENOmTUPXrl3h5uYGhUIBS0tLtGjRAjNnzsRPP/1UZnusrKxw5MgRfP755wgMDIS1tTUsLCzQqFEjvPnmmzhz5gyaNm1aofXWvn17vPLKK2jdujUcHR1hbm4OW1tbdOnSBWvWrMFbb71lcBpeXl4IDQ3FunXr0KdPH+ncwNHRES1atMCgQYOwZs0a7Nq1y+h2LV68GFOnToWnpycsLS3RtWtXHDhwQOddDhYWFti/fz/Gjx8PBwcHWFlZ4emnn8axY8ekq72ahg4dihEjRqBx48awtbWFubk5nJ2d0bdvXxw8eFDrdt6aJhNCR+8Solpk6dKl0u02hw8fxtNPP13DLSKiyvTjjz9i3Lhx8PDwwLlz53R2XiQiotrP8LPKiWrIyy+/jGPHjkn3Dvbq1YtBBdFD6I8//oBMJsOPP/7IoIKIqA5jYEG1VkxMDGJiYmBvb4+goCCsWLGipptERFVg69atNd0EIiKqBLwVioiIiIiITMbO20REREREZDIGFlQl5syZI+WlHzduXJXN5+jRoxgwYICU0cHBwQFNmzbFgAEDsGTJEq2yERERmDNnDubMmYOjR4+aNN/09HRpWpo5xx9WiYmJ+OCDD9CuXTvY2dlBqVTCy8sLQ4YMwe7du02efnWuT5VKhY8++kjK/CSTyWBvb2+wXkFBARYvXox27dqhXr16UCqVcHd3R2BgIF5++WWEhIRolV+/fr20TOnp6Sa1+ejRo9K0KvpMGGP93//9H2QyGdq0aaPzybHHjx+XPtsymQyNGjXSWa4uOHr0aKUcp9TbZtmyZSa3qUePHpDJZFoPSTNFVFSU1vYyNzeHlZUVPDw80LVrV7z//vs6H4ZKFRcTEwNzc3Npndva2up8toa+/W/cuHHScGO/q4QQ2LFjB4YMGYIGDRpAqVTCyckJjz32GKZNm6b1hOny0Pwur4nvul27dkmfr4p+JrKzs6XslIYenkeVoAZT3dJDzJgc+qbavn273udCABAtW7bUKl/enOVl0Zfr/2F05MgR4ejoWGau7xEjRoiCgoIKz6M61+eqVatKtd/Ozs5gvcGDB5e5DhYtWqRVvqyc8+Wl77kKlS0sLEx6/oC+5xyMHz++1LIfPXq0ytpUlSrjeSFClP8ZHGVR7zem7jNqmp8tfS+lUilWrVpVKfMjIT799NNS63j9+vWlyunb/ww9L6Gk8j7TpTyq69ijT3nXhT4LFy6UnhMRExNTeQ2kUnjFguqsjz/+GCqVCmZmZti+fTuysrKQkZGBM2fOYPHixTqfw0HlExcXh8GDB0tPwf2///s/xMTEICcnB7///ruUb3vr1q2YOXNmTTbVaOHh4dLf69evh0qlMnhFITw8XMpnHhgYiCtXriAvLw9xcXE4ePAg3nrrLbi6ulZhq6vH/PnzIYSAp6en1pNs1bKzs/Hrr78CgNazaerqVbsePXpACAEhRJ1dhvISQiAvLw/nz5/H66+/DgDIy8vDa6+9Jm3bmpSdnV3TTTCZ+hkP1fUZGTFiBA4dOgQAcHd3x+bNm5Geno6cnByEh4cjODgYVlZWVTb/qlDZ+8GECRNgYWGB7OzsKnsWEj1Qs3ENPayMeYr46tWrxezZs4WPj4+wsrIS7dq1E/v37zd6Huqn+tavX1/cv3+/zLKaTwYt+VJfvdixY4fo06eP8PHxEfXq1RNyuVy4ubmJAQMGiGPHjknT0vwFpeRL89f2xMREERwcLAICAoSlpaWwtrYWHTp0EKtWrRIqlarM9v7222/SNF999VWtcf/88480Tv300/T0dPHGG2+Ihg0bCgsLC2FlZSW8vb1Fnz59xMaNG41epyVpPr23devWpdqt+fRgCwsLkZSUJITQf3VI15UJY9dnWa5fvy7Gjx8vfH19hUKhELa2tqJr165izZo1UpvL+uXW0Hw2bdoklX3llVfKLKv5K6Sul/qX6Lffflt07NhRuLq6StvM399fvP322yI5OVmaXlnT0vwF8dixY2Lw4MHCzc1NKBQK4eLiIoYOHSpOnz5t1DqMjY2VnsgbHByss8xPP/0kzXvUqFHCzs5OABD16tUTWVlZWmXz8/PFzJkzRbNmzYSlpaVQKpXC09NTPPPMM+Lrr7+WypVn3zVmO2v65ZdfRK9evYSTk5NQKBTCzc1N9O7dW5w/f77UttI8Th07dkwMHDhQNGrUSNSvX1+Ym5sLJycn0atXL7Fz506pnObxrORL8+rFvXv3xJw5c0Tr1q2FtbW1sLS0FK1atRILFiwQeXl5Wm3WdcXif//7nwgKChJOTk7C3Nxc2NvbixYtWojRo0eLmzdv6txWaiX3+5JmzJghjfPx8RFFRUUVandubq6YPn26cHd3F5aWlqJ79+7i+PHjRj3dfffu3aJ9+/ZCqVSW2g7G7tPlOd6uW7dOdOrUSdja2gq5XC5cXFxEx44dxeuvv27w2GzI33//LS3b008/LZo1ayYACJlMVuoqVGVcsdi/f79UViaTiRMnTugsV/KK8rZt20TPnj2Fg4ODUCgUwsPDQ4wYMUKEh4drldPcx7/77juxYMEC0bBhwzK/s8PDw8XIkSOFp6enUCgUwsHBQTzzzDOlroKWXP4ffvhBtGzZUigUijK/FzTXy+7du8WTTz4p7O3thbm5uXB0dBSPPfaYGD9+vEhNTdWa38CBAwVQfIU6JyenzPVKFcfAgqqEMYGFg4NDqYOFhYWF0bcANGnSRKrn5eUlXnnlFbF27Vpx8eLFUmWNCSzefvttvWXMzc3F33//LYQw7kT45s2bwsPDQ2+5F154ocxlKywsFF5eXgKAsLe3F7m5udK4SZMmSdP566+/hBBl36bz0ksvGbU+dQkICJCms3Tp0lLji4qKhL29vVRmy5YtQojqDSxOnDgh6tWrp3caw4cPFyqVyqTAQjOYAyC6du0qZs6cKXbt2iXu3r2rVdbYwEJ9Uq7r1bJlS5Gfny+EMC6wWLFihXQLU8mXQqEQu3fvNrge165dK9X5/fffdZZ55plnpDL79u0TY8aMkd6XvNVDMygt+erevbtUzth919jtrKbZtpIvdXCg78Ru6dKlZa73TZs2CSGMCyxSUlJEixYt9JZ78sknS52ka4qNjS1zuQ8cOFDmdjUUWCQmJmrtO+qT9vK2W9d2tLCwEK6urqX2fc02OTg4aN3Sqt4O5dmny3O83blzZ5nb1pRbOoXQvlVw1apVYvbs2dL7OXPmaJWtjMDizTfflMo+88wzRrVx2rRpepdfoVDoDZ7d3d11bmPN7+wdO3YIhUKhd/rTp0/XufzOzs5a5YwJLE6fPi3kcrneMtevX9da7iVLlkjjDh48aNS6ovJjYEFVwpjAwtbWVuzfv1+kp6eLUaNGScMXLFhg1DzWrFmj94Di7+8vdu3apVXeUB+L48ePi//9738iMTFR5Ofni4yMDLFy5UqpztChQ6WyhvoE9O/fXwAQcrlc/PrrryI7O1skJiaK4cOHS/X27NlT5vJpfiH9+uuvQggh8vLypICsYcOG0omUra2tAIpPeO/evStycnLEzZs3xYYNG8QPP/xg1PrUxcrKSmrDb7/9prNM27ZtpTILFy4UQpQvsChruDE0T35mzpwp0tPTRXh4uPD29paGb926VSpfkXt2i4qKxOOPP65zXzM3NxeDBg0SsbGxWnUM9bHYtGmTuHLlikhPTxcFBQUiLi5O9OnTR6qjeXJf1n3OcXFxQqlUCgCiXbt24vLlyyIvL0+cPn1auLi4CADCw8PD4AnThAkTpHlER0eXGh8dHS2dADo5OYmCggKxe/duqU6PHj20yrdu3VraT+Pi4kRubq6IiooS27ZtE0uWLJHKGbvvlmc7b9++XRpmY2Mjfv75Z5Geni7i4+PFjz/+KMLCwoQQ+k/szpw5Iw4dOiQSEhJEXl6euH//vtaytmvXTmtZ1cN19bF46623pPHLly8XmZmZIj09XUyZMkVruD6ay7Jo0SKRm5srUlNTRXh4uFiwYIF09UUfQ4GFEELr5F+9DsvT7sOHD0vD7O3txZEjR0R6enqpwEtXYAFAjBw5UsTGxorMzExx9erVcu/T5TneTp48WRp24sQJkZ+fL+Lj48Xhw4fFjBkztK7YlNf9+/el/Vkul4vk5GRx/vx5aX6ax2whKieweO6556SykydPNtjGsLAwrW11+PBhkZmZKb755htpuLOzs8jOzhZClO87Ozs7WytA+Pbbb0VmZqY4fPiwqF+/vjRc1+cPgJg6dapITEwUKSkp4tatWwbXxeLFi6VxW7ZsEfn5+SIpKUmEhISIjz76SMTHx2uVP3r0qFT+s88+M7iuqGIYWFCVMCaweOedd6Thml/akyZNMno+6sug6ls4NF9yuVz8+++/UllDgUVkZKSYMGGCaNSokfSlpvlq1qyZVll9J8I5OTll/oqifr311ltlLpvmidyAAQOEEMWXr9X1582bJ5VVn9zXr19fvPXWW2LlypXiyJEjpW5PKS9jAovHHntMKlPdgcX169e1vgwLCwulcZq/Oo8ePVoaXtHOgNnZ2WL27NmiUaNGOrdnx44dtU5KDAUWO3fuFL169RLOzs4699/PP/9cKltWYKF5paGsl6FbojRPUNQnFZo0O6ROnDhRCFEc6KqvWJW81UP9C7aFhYV49dVXxddffy3++usvkZaWpjVdY/bd8m7n0aNHS8NK/kqsSd+JXXJyspg6dapo1qyZ1mdA/bK0tNSajnq4rsBCfeWxrFf//v31tvHMmTNSucDAQPHRRx+JjRs3inPnzhl12055Awv1jxjlaff777+v87heVFQkPD09S30ONNtUv379Usep8uzT5T3eLlu2TBo2YMAA8fnnn4udO3dWSodezVsFe/fuLQ3XDIo1Ex1URmDRt29fqeyUKVMMtvGDDz7Qua2E0D6Wq3/RL8939oEDB7T2VU2adwR8+OGHpZa/SZMmOoO6stbFrl27pHFPPvmkmDt3rti6dau4du2azmW/ePGiVP7NN980uK6oYth5m2pM8+bNpb9tbGykv3NzcwFop+JTv/z8/LSm0b9/fxw7dgx3797Fvn37MHXqVGlahYWF2L59u1FtuXfvHrp164bvv/8et27dQl5eXqkyOTk5Rk0rJSUFhYWFBsvdvXu3zPE+Pj4ICgoCAOzbtw93797Fhg0bAAByuRzjx4+Xyv7www9o06YNMjMzsXz5crz++ut4+umn4eLiUirtbnn4+PhIf+tKSalSqRAdHS299/X1LVVGaKQiNWa96FJyP1Cn40xMTJTKNGjQAObm5tJ7zX1Fs5w+mike1a85c+ZI462srPDpp5/i5s2buHHjBtavX48+ffpI40+dOmV02s5t27ZhyJAhOHjwIO7evYuioqJSZYzd34xZNsDw/maIukMqALRu3RoRERG4dOkSunTpAqB4O//4449SmWXLluHxxx9Hfn4+1q5diylTpiAoKAiurq6YNm2aVM6Yfbe82zkhIUGrreWhUqnQs2dPLFu2DFeuXNG5HdTHKGMYs33K2jZt27bFl19+CXt7e5w5cwaffvopXnrpJbRp0wb+/v64cOGC0W3R176kpCTpfaNGjcrdbs32ax4DzMzM4O3tXeY0AgICtI7/xs5bPd/yHm9ff/11jBkzBgqFArt378b777+PIUOGwMfHB7169UJWVpZR89ZFs4N2+/btERERgYiICOkzUrJMZWjcuLH098WLFw2W11y3JY/Xho6Zhr6zTZl2YGAgzMzKd0o6aNAgTJs2DdbW1vj7778xe/ZsjBgxAv7+/mjfvj3u3LlTrulR5WBgQTVGoVBIf2tmzzBWRkaG9Le9vT2CgoKwdOlSrexEKSkpRs3j8OHDiI+PBwC0bNkSt27dgkqlwrlz53SWL2taTk5OkMvlAABbW1vk5eVJmWc0X5s2bTK4jK+++iqA4mcofPvtt9i7dy8AYODAgXB3d5fKBQYG4uzZs4iNjcVff/2Fb7/9FgEBAcjJycH06dMrfIDt27ev9Pe6detKjd++fbuUUcnCwgJPP/00AMDS0lIqo5nd48aNGzrnU5HtDwBubm7S33FxcVon6Jo5zzXLVcT9+/e1pt24cWOMHTsWf/75J5o0aSINN3Z/27hxo/T3jBkzkJmZCSEEgoODdZYva1qayzZp0iSd+5pKpZKCVH08PDykv5OTk7XGHT9+XGvbTZ48GYGBgQgMDMS+ffuk4T/++KMUSPr6+uL48eNITEzEoUOHsHbtWnTq1AkFBQVYsmQJQkNDARi375Z3O2t+Nsp74n3+/Hnpc+/m5obz58+jsLAQmZmZ5ZpOyTbJZDLcuXNH5/Yp+QyUkqZNm4bk5GRERERg+/bt+OCDD2Bubo4bN25g+vTpFWqX2sKFC6W/fX19ERgYWO52q7PDAUBsbKz0t0qlQkxMTJnzt7a2LjWsPPt0eY+3FhYW+Omnn5CWloaQkBBs3LgRL774IgDg0KFDWL58ufErT0NMTIzWMycWLFggfUZ++OEHafi2bdt0PtOiogYNGiT9ffjwYYSFhekspw6+NNet5o9CgOFjpqHvbFOmrWs/0DcfTV9++SVSU1Nx6tQpbN26FW+++SYA4N9//y31zArN45rmMYIqFwMLqrU0U0GqX5oHp44dO2L8+PHYu3cvkpKSUFBQgOvXr+PPP/+UyrRs2VL628nJSfr78uXLyM/Pl96rv5jUf9vY2CAhIQGzZs3S2TbNaUVHRyMtLU16b2lpKf2Sfe/ePYwfPx5RUVEoKChAbGwsfvzxR3Tv3h1///23wXUwYMAA6YTvs88+Q0FBAQBg4sSJWuVmzZqFnTt3orCwEE8++SRGjBghnfAKIRAXFweg/A8EmzZtGuzs7AAA586dwyuvvILbt28jLy8Pf/zxB9566y2p7OTJk6UTDM1fpw4dOoScnBxkZGRg7ty5OudT1vpUL0PJl5+fH5o0aSL9inb37l18/PHHyMjIQEREhFZKwYEDBxpc1vXr15eah/qKxYkTJ+Dv74958+YhPDwc9+/fR05ODvbs2SOtW7lcjoCAAJ3LdPbsWa0rN5r7m7W1NRQKBY4fP671i7++9XPhwgWtX2j79u0LpVIJoDj4++mnn5CRkYGcnBxERETgww8/RLdu3Qwuf+fOnaW/Sz6Ez9hfWSMjI6X9euHChdi4cSMyMzPRpUsXjBgxAo899phUVn3Cacy+W97tPHToUGnYokWLsHnzZmRmZiIpKQmbNm3CqVOn9C6D5rYxNzdHvXr1kJGRoTfoA/7bPnfv3sXt27e1xg0ZMkRalrFjx+Ly5csoKChAQkICtm3bhj59+khXInW5dOkSPvzwQ5w6dQru7u4YMGAAnn/+eWmbGzpx1yU/Px8XLlzA66+/rnVF88svv5RO5MrT7t69e0vTWL9+PUJCQpCZmYlPPvlE+sGmPMqzT5f3eLt9+3Z89dVXiIyMRPPmzTFs2DD06tVLmrfm+vTz85OOl4b8+OOPUKlUBstlZWVh27Ztxq8MA3r16iX9aCCEwJAhQ/Drr78iMzMTubm5OHPmDIKDg/Hhhx8C0D4Wrl+/HseOHUNWVhZWrFiBs2fPAgCcnZ2NOmaU1K1bN+mzcObMGaxatQpZWVk4duyY1jFkwIABRk9T89h37tw5rXV87NgxzJ8/HxcvXoSfnx8GDx6slSa75Gfj33//lf7WvIpElaxSb6wiesCYPhaa94pX5EFVhu4Bbty4scjMzJTK3759W2ffiSNHjoi0tDSdGS/8/f313j+t7pyq+VL3J7h165bB9hl7f/+sWbO06vn5+ZW6F7Vx48Z659OgQQMptV5F1vPhw4eNekCeOouREMVZrZo3by6Nt7KyEnK5XNjY2EjDSvalKGt9luV///ufsLa21tu2oUOHat2LXpE+Fpr3Dut7vfvuu1p1NDsWltyHNNP06tvfNJf99OnTOsur71lfuXKl3gw6uvZdXWJiYqQ+PZrpZjU7pAIQZ8+eLVX3vffek8aPGzdOCCHKfGCXra2tuHPnjhDC+H23vNv55Zdf1lu2rKxQhYWFolWrVmVuG0D7q3PAgAGlyqunl5KSIlq2bFnmvlPWg8eOHz9eZt1p06aVuV0r+oC88rZbV1YodYpY9fuoqKhSbdLXp6o8+3R5jrdz584ts5xmtinNbIKGaGYp1NUfTTMRiDrRQU09IK+sjG1yuVwrLWx5v7O3bdtWZp+XqVOnGpyGJs3kBSU/fxs2bChzmb/55hutaWmmm9XVj4wqBwMLqhLVEVj89ttv4o033hDt2rUTHh4eUg785s2bi+DgYOmZCpq2bdsmWrdurdUhU33gPnv2rOjZs6ewtbUVTk5OYsKECVodJ0uenEVERIgePXpopQ3VPBlMTk4W7777rmjRooWwtLQUVlZWolGjRmLAgAFi5cqVIiMjw6jljIyM1PqC1ZXNYtmyZSIoKEg0aNBAWFpaCoVCIby9vcXYsWOl7BpCVPxJw/Hx8WLWrFmibdu2ol69elLe80GDBunt1H3jxg3Rt29fYW9vLxwcHMSLL76olZWj5AmFofVZlqtXr4px48YJb29voVAoRL169UTnzp3FypUrSwVhFQksUlJSxNdffy2GDh0q/P39hYODgzA3NxcODg7iySefFOvWrSvVkTYnJ0e8+eabwsvLSzph19yHVq1aJfz9/YVSqRQBAQFi7dq1Wp+Pksu+YsUK0bRpU+n5LYB2p/B//vlHPP/888LDw0PI5XLh6OgoWrduLV577TUpLbEhgwYNEgCEp6entN40v7zbt2+vs97Vq1elMupnWmzYsEEMHDhQ+Pr6ChsbG2Fubi48PDzEsGHDREREhFTX2H1XPR9jt7MQxZm3evbsKRwdHYVcLheurq7i2WefNfgci8jISDF48GDh4OAg6tevL4YNGybi4uJKndioRUVFiQEDBggnJyed08vKyhJz584VgYGBwsbGRiiVSuHr6yueffZZsXjxYpGQkKB3m9y+fVu89dZbol27dlJHf2tra9G2bVvx+eefG8z2VTKwkMlkQqlUCjc3N9GlSxfx/vvvl1rPFWl3bm6umDZtmnBzcxNKpVJ06dJFHD16VOq4LJPJxL1790q1qaxkDeXZp4093oaEhIgxY8aIZs2aCTs7O2FmZiYcHBxEjx49xI4dO6TpFRQUSJmM9O33aprBn5ubm85tkp6eLn3vyGQycevWrUoLLIQo7ij/66+/ikGDBglPT09hYWEhHBwcRJs2bcQ777xTKg37li1bxNNPPy3s7e2FXC4X7u7u4vnnn5cyNqlV5Dv71KlTYvjw4cLd3V3I5XJhZ2cnevToITZv3qxVztjvo48//lj4+flpBSxCCHHp0iXxyiuviNatWwtHR0dhbm4ubG1tRZcuXcSaNWu0ppGSkiIdOzWDG6p8MiE0rs8TEdEjKywsDF26dIEQAjt27JBuhyEyJCIiAtbW1vD39wcAFBUV4fvvv8ekSZMAAN27d8c///xTk00sl2PHjqFHjx6wsbHBv//+Ky0X1U2LFi3Cu+++CysrK1y5ckUrMQlVLvaxICIiAECnTp0wduxYAMCcOXPA353IWLt27UJAQABsbW3h4+MDW1tbKahwcHDAt99+W8MtLJ8//vgDAPDVV18xqKjjsrOz8eWXXwIA3n//fQYVVYxXLIiIiMgk+/fvx6JFi3DhwgWkpKRAoVDAz88PvXv3xvTp0+Hl5VXTTSSiasDAgoiIiIiITMZboYiIiIiIyGQMLIiIiIiIyGQMLIiIiIiIyGQMLIiIiIiIyGQMLIwkhEBmZibTLxIRERER6cDAwkj37t2DnZ0d7t27V9NNISIiIiKqdRhYEBERERGRyRhYEBERERGRyRhYEBERERGRyRhYEBERERGRyRhYEBERERGRyRhYEBERERGRyRhYEBERERGRyWo0sCgsLMSHH36Ihg0bwsrKCo0aNcKnn34KlUollRFCYM6cOfD09ISVlRV69OiBixcvak0nLy8PkydPhrOzM2xsbDBw4EDExcVplUlLS8OYMWNgZ2cHOzs7jBkzBunp6dWxmERERERED70aDSy++OILrFq1CsuXL8fly5excOFCLFq0CN98841UZuHChViyZAmWL1+OU6dOwd3dHc8++6zWg+qmTp2KnTt3YvPmzfjnn3+QlZWF/v37o6ioSCozatQoREREYN++fdi3bx8iIiIwZsyYal1eIiIiIqKHlUwIIWpq5v3794ebmxu+//57adiwYcNgbW2NDRs2QAgBT09PTJ06Fe+99x6A4qsTbm5u+OKLLzBp0iRkZGTAxcUFGzZswMiRIwEAd+7cgbe3N/bu3YugoCBcvnwZLVq0QGhoKDp37gwACA0NRdeuXXHlyhUEBAQYbGtmZibs7OyQkZGB+vXrV8HaICIiIiKqu2r0isXjjz+OQ4cO4dq1awCAs2fP4p9//sFzzz0HAIiMjERCQgJ69+4t1VEqlXjqqacQEhICAAgPD0dBQYFWGU9PT7Rq1Uoqc+LECdjZ2UlBBQB06dIFdnZ2UhkiIiIiIqo4eU3O/L333kNGRgaaNWsGc3NzFBUVYd68eXjxxRcBAAkJCQAANzc3rXpubm6Ijo6WylhYWMDBwaFUGXX9hIQEuLq6lpq/q6urVKakvLw85OXlSe8zMzMBACqVSqsPCBERERGVrUilwpmrt5GcngUX+3oIDPCCuVnl/r79zDPPYNCgQXj77bfLXffq1auYMWMGQkNDkZ+fD09PT4wbNw7vvvsuAKBRo0ZYsmQJBg8ebNT0jh49iqFDhyI1NbXcbamNzIzcVjUaWGzZsgU///wzNm3ahJYtWyIiIgJTp06Fp6cnxo4dK5WTyWRa9YQQpYaVVLKMrvJlTWfBggX45JNPSg1PS0tDYWFhmfMmIiIiomLHz0Xh2x0nkZyRLQ1zsbPGm0M744k2fpU2n4KCAty/f79CJ/PPPfcchgwZghUrVkCpVOL69eu4evWqNC2VSoWsrCyjp33v3j0IIR6awMLZ2dmocjUaWMyYMQPvv/8+XnjhBQBA69atER0djQULFmDs2LFwd3cHUHzFwcPDQ6qXlJQkXcVwd3dHfn4+0tLStK5aJCUloVu3blKZxMTEUvNPTk4udTVEbebMmQgODpbeZ2ZmwtvbGw4ODuxjQURERGSEQ6ev45N1R1CyQ+/djGx8su4IFk0eiJ4dmlbKvBQKBWxsbHDu3DkMHToUCxcuxNy5c5GdnY3x48fjiy++0Fnv7t27iIqKwttvv40GDRoAAFxcXKTzyBEjRiAuLg6TJk2Cubk5XnrpJaxcuRLvvfcetm7ditTUVHh7e+Pjjz/G8OHDkZKSghdeeAG5ubnw8/MDAPzxxx944okncPDgQXz44Ye4du0avLy8MG/ePAwcOLBSlr82qNHAIjs7u9SlFXNzc+lWo4YNG8Ld3R0HDhxAYGAgACA/Px/Hjh2Tdo727dtDoVDgwIEDGDFiBAAgPj4eFy5cwMKFCwEAXbt2RUZGBsLCwtCpUycAwMmTJ5GRkSHtNCUplUoolcpSw83MzIy+HERERET0sMnLL0RsUrrBckUqFRb8dLBUUAFAGrbgp0PwcXcweFuUt6s9lBaGT1tlMhnMzMxw7949XLx4EdevX0dkZCQ6dOiAfv36oUePHqXquLi4oFmzZpgwYQImTpyIzp07w9fXVxq/bds2+Pn5YdmyZVq3QrVt2xYzZsyAk5MTfv31V4wdOxadOnVCw4YN8eeff2Lw4MFajzY4d+4cRo4cie3bt6NHjx4ICQlBv379EBYWZlQiobqgRgOLAQMGYN68efDx8UHLli1x5swZLFmyBOPHjwdQvHNMnToV8+fPR9OmTdG0aVPMnz8f1tbWGDVqFADAzs4OEyZMwLRp0+Dk5ARHR0dMnz4drVu3Rq9evQAAzZs3R58+ffDqq69i9erVAICJEyeif//+dWJDFqlU+PdqHO6m34ezvQ3aBTSo9PsSiYiIiIwRm5SOYTPXVcq0UjLuY8QHPxost33B/6FJA+NuxwGKb3dfsGABLC0t0bx5c3Tr1g3h4eE6AwuZTIYjR45g0aJF+OSTT6SMoV999RWeffZZvfN46aWXpL9feOEFfP755wgJCUHDhg11ll+9ejXGjRuHZ555BkBxEqP+/ftj69atmD17ttHLVpvVaGDxzTffYPbs2XjjjTeQlJQET09PTJo0CR999JFU5t1330VOTg7eeOMNpKWloXPnzti/fz9sbW2lMkuXLoVcLseIESOQk5ODnj17Yv369TA3N5fKbNy4EVOmTJGyRw0cOBDLly+vvoWtoIOnrmHhz4eQmJolDXNzrId3R/dEr47+NdgyIiIiotqpfv36sLa2lt7b2NhIz0Br2bKllARo9erVeOmll+Du7o7Fixdj8eLFSE1Nxbx58zBkyBDExMTA0dFR5zyWLl2K7777DnFxcZDJZMjKysLdu3f1tikqKgqHDx/GunX/BWWFhYUP1S32NRpY2NraYtmyZVi2bJneMjKZDHPmzMGcOXP0lrG0tMQ333yj9WC9khwdHfHzzz+b0Nrqd/DUNUz/+rdSlxCTUrMw/evf8OWUQQwuiIiIiMrh4sWLZY53dHTEnDlzsGTJEkRGRsLR0bHUbfD//PMP5syZg8OHDyMwMBBmZmZo27Yt1I+H03XbvLe3N95++218/vnnlbcwtUyNBhakX5FKhYU/HyrzvsSFPx/G0+2b8LYoIiIiqjbervbYvuD/DJYrUqnw+sJfkaKRDaokJzsbrHz3eaP6WFSVtLQ0LF68GKNHj0bTpk2Rl5eHJUuWwNHREc2aNQNQ/BiDmzdvSnUyMzMhl8vh4uIClUqF9evX48KFC9J4Nzc33Lt3D8nJyXBxcQEATJo0CX369EFQUBCefPJJFBYW4t9//4W9vT2aN29eZctXnRhY1FL/Xo3Tuv1Jl8TUe3hl3mYEdWmGTi180dDT0WAaXiIiIiJTKC3kRvd3mDX2WUz/+jcA0PqxVCaN74UAn9LPGqtOFhYWuH37Np577jkkJSXB0tIS7dq1w759+2BjY1PczlmzMGXKFHz22Wd48cUXsXz5cgwbNgytW7eGUqnEmDFj0L17d2maAQEBmDBhApo3b47CwkLs2bMHjz/+OH755Rd8+OGHuHz5snSV48svv6ypRa90MqG+ZkNlyszMhJ2dHTIyMqrlXrg/T1zG+yv2lKuOi70NOrbwQacWvujUwgdeLnZV1DoiIiIi4+juL2qLd0c/w1u6HzIMLIxU3YHFqcsxeGX+FpOm0cDVTgoyOrXwgZOdTSW1joiIiMh4zHD5aGBgYaTqDiyKVCr0fWc1klKzdPazAAAbKws0aeCMi7cSUFikMjjNxl7OUpDRobk36ttYVm6jiYiIiOiRxcDCSNUdWAD/ZYUCdN+XqM4KdT8nH2euxSHsUgzCLsXgSnQiDG1VM5kMzf3c0LGFDzq39EHbpl6wtrSokuUgIiIioocfAwsj1URgAVTsvsT0ezk4fSX2QaARjcg7qQbnIzc3Q5smnujcwgedWvqidWMPKOTmBusREREREQEMLIxWU4EFYPp9iUlpWTh1KQYnL0Uj7GIM4lMyDdaxtFAgMMCrONBo4Ytmfq68F5KIiIiI9GJgYaSaDCwqkxACt5MzEHYpBicvRiPsUgxSM/Xnl1aztVaiQ3NvqTN4Yy8nprYlIiIiIgkDCyM9LIFFSUII3LydgpMXo3HqUgxOX4nFvew8g/Wc7Ky1Mk41qMIH1xARERFR7cfAwkgPa2BRUpFKhctRiVJH8DNX45CbX2iwnqeznRRkdGrpAxf7etXQWiIiIiKqLRhYGOlRCSxKyi8oxPmb8VKgce7GHaNS2zbydHrwsD4fdGzuDbt6VtXQWiIiIqKal5ycjJEjR+L06dMICgrCr7/+WtNNqhYMLIz0qAYWJWXn5uPMtdtSxqnLUYZT28pkQDNfN3Rq4YPOLX0R6M/UtkRERI8SoSpCTkw4CrPuQl7PGVY+7SEzq5rskwcPHsQnn3yCM2fOwNzcHN26dcO8efPQrl07g3WjoqLQsGFDpKWlwd7evsJtmDdvHo4ePYq//voLZjqS3xQWFuKjjz7Cpk2bcPfuXdja2qJ9+/b45ZdfYGtrizlz5iAiIgK7du0yep5+fn5YtmwZBg8eXOF2m0peY3OmOsna0gLd2zRE9zYNAQCZ93Nx+nJxatuTl6Jx63ZKqTpCAJejEnE5KhE/7j0FubkZWjX2kDJOtWniAQsFd0UiIqKH0b3LB5D81+covJcoDZPbusEl6H3YNn+2Uuf1+++/46WXXsKyZcvw559/oqCgAGvWrMFTTz2FI0eOoEOHDpU6P30iIyPRsmVLnUEFAHz++efYv38/jhw5goYNGyIpKQl79uyplrZVJV6xMBKvWBjnbnoWTl2OlTJO3U7OMFjH0kKOtv5eUmfw5n5ukJsztS0REVFdd+/yAcRvC4b2o34B9eN+PZ5fUmnBhRACjRo1wiuvvIIPPvhAa9wrr7yCGzduYP369aWuSEydOhXp6elYv349XF1dkZycDBsbGwDA6tWr8dJLL+mc15IlS7BixQqkpaWhU6dOWLFiBRo1aoThw4dj165dkMlksLCwwFdffYUJEyZo1e/fvz86d+6M2bNnl5r2rl27MGLECKhUKlhaWgIAsrKysH//fsyaNQvXr1+HtbU1hgwZgsWLF8PKygrDhw/H9u3boVQqYW5ujtGjR2PVqlVISkrCO++8gyNHjgAARowYgS+++AJKpdLk9a0LAwsjMbComLikdIRdisGpB3007mbcN1innpUFOjT3kTqDN2ngzNS2REREtYSqMA8FqbEGywlVEW5vmoii+6XvZlAzt3GG16jVBm+LUjh6w0xe9snw1atX0axZM9y8eRONGjXSGnfo0CEEBQXh/PnzaNGihd7AwthboX766SfMnDkT+/btQ9OmTfHBBx/gzz//xLlz5yCXyzFu3DjY29tj2bJlOut//vnnWLZsGd5//308/vjjaNu2LeTy/+7e0HUr1PHjx1GvXj20adMG0dHR6NevH0aPHi0FUSVvhRJCoGvXrujevTvmzp2LnJwcPP/883j88ccxd+7cMtdlRfH+E6pSDVzt0cDVHkN7tIEQApF3Uosf1Pcg2NCV2jYrJx9H/72Bo//eAAA42FprZZzydrVnoEFERFRDClJjEb16cKVMq+j+XcSsHWawnO+kXVC6NimzzN27dwEAnp6epcZ5enqiqKgIqampFWtoCRs2bMCUKVPQunVrAMD8+fOxdu1ahIWFoVu3bgbrv/vuu3B2dsYvv/yCDz/8EHK5HK+99hrmzZsHc3PdQdYTTzwh/d2oUSNMmjQJf/zxR6mrM2qnT5/G9evXERISAjMzM1hbW2PWrFl47bXXGFhQ3SeTydDIywmNvJzw4rPtUKRS4Wp0kpRxKvxKHHLzC0rVS7uXjb9OXsFfJ68AADyc6ksZpzq18IGbo211LwoRERHVMs7OzgCAO3fulLpicefOHZibm8PR0bHc0+3bty+OHz8OAJg1axZmzZqFuLg4+Pn5SWWUSiU8PT0RFxdXqv78+fMxf/58AMXBwZ9//gkzMzO88soreOWVV1BYWIj9+/dj1KhRaNSoESZOnKizHadOncLMmTNx/vx55OTkoLCwEAEBAXrbHRUVhfT0dK1lFkKgqKio3OvAWAwsqMaYm5mhRUN3tGjojnH9OqGgsEhKbXvqUgzO3riDgsLSO398SiZ+P34Bvx+/AADw83B8kHHKBx2a+cDelqltiYiIHjX+/v7w9fXFL7/8UupX/F9++QXdu3eHi4sLACA7O1u61Sk+Ph5WVsXnDro6W//555+lhjVo0ABRUVHS+/z8fNy5cwcNGjQoVVYdjOgjl8vx3HPPoWfPnjh//rzedrz44ov4v//7P/z222+wsbHBsmXLsH79eml8yTre3t5wdXVFfHy83nlXNgYWVGso5OZoF9AA7QIa4LUh3ZCTV4CIB6ltT16KxuXIRKh0dAmKik9FVHwqth6KgEwG+Pu4Shmn2gU0gI0VU9sSERFVFoWjN3wn7TJYrrL7WBgik8mwdOlSjBkzBu7u7hg5ciQKCwuxevVqbN68GYcOHYKzszN8fHzw448/4r333sOxY8ewd+9eDBtWfDuWi4sLzMzMcPPmTbRv317vvEaPHo0PP/wQAwYMQOPGjTF79mx4eXmhU6dOBtsJAEuXLkXr1q3RpUsX2NjYICQkBEePHsXy5csBAG5uboiOjkZRUZF0a1RmZibs7e1hY2ODy5cvY+XKlVJApK5z8+ZN6X3Hjh3h4+ODDz/8EO+99x7q1auHmJgYXLp0CX379jWqneXFzttGYuftmpd5Pxf/Xo2TMk7diLtrsI65mQytGnmgU8vijFOPNfGE0oLxNBERUXX4LysUoJ0ZqvKzQqn99ddfmDt3LiIiImBmZoauXbvis88+Q8eOHQEUd+R+/fXXER8fj379+sHW1hYFBQXSr/+ffvopli9fjvz8fKxYsQKjRo0qNQ8hBBYtWoRVq1ZJWaG+/fZbNGlS3A/EUOftNWvW4LvvvsPVq1cBAF5eXpg0aRLefvttAEBqaiqGDBmCc+fOQQiB9PR07Ny5E8HBwUhOTkb79u3Ro0cP/Pbbb4iIiAAA7N69G1OmTEF6ejpefPFFrFixAklJSXjvvfdw4MABZGZmwsfHB5MmTcLkyZMrcY3/h4GFkRhY1D4pGfdx6nIswh4EGrFJ6QbrKBVytPX3lFLbtmjoztS2REREVUjncyzqu8Ol93uVHlRQzWJgYSQGFrXfnbsZUkfwsIvRSE43nNrWxtIC7Zt5Sx3Bm3q7wMyMGaeIiIgqU3U+eZtqDgMLIzGwqFuEEIiKT5UCjVOXY5CRlWuwnoOtFTo290HHFj7o3NIXPm5MbUtERERkDAYWRmJgUbepVAJXY5KkjFPhV2ORnVs6tW1Jbo62UsapTi18mdqWiIiISA8GFkZiYPFwKSgswsVbCVLGqbPXdae2LcnH3aE40Gjhiw7NveFY37oaWktERERU+zGwMBIDi4dbbn4Bzl6/UxxoXIzGxVsJOlPbluTv7YJOD65mtG/WAPWslNXQWiIiIqLah4GFkRhYPFruZefh36txUsapa7HJBuuYm8nQspG7lHHqsaaesLRQVENriYiIiGoeAwsjMbB4tKVmZuPU5RipM3hMQprBOhYKczzWxEvKONWykTsUcmbAICIioocTAwsjMbAgTQkpmVKQcfJiNJLSsgzWsbZUoH2ANzo+CDQCfFyZ2paIiIgeGgwsjMTAgvQRQiA6IU3KOBV2KQbpWTkG69nVs0TH5j4Psk75wtfdgaltiYiIqM5iYGEkBhZkLJVK4HpssnRFI/xKLO7n5hus5+JQT8o41amFDzycuZ8RERFR3cHAwkgMLKiiCgqLcDkqUbptKuL6beQXGE5t6+1qX9w/o6UvOjb3hpOdTTW0loiIiKhiGFgYiYEFVZa8/EKcvXFHyjh14VY8ilSGP4ZNGjijc8viqxntAhqgvo1lNbSWiIiIyDgMLIzEwIKqyv2cfPx7NQ4nLxUHGlejkwzWMZPJ0KKhu5Rxqq2/F6yUTG1LRERENYeBhZEYWFB1SbuXjdOXY6U+GlHxqQbrKOTmeKyJp5RxqnVjD6a2JSIiomrFwMJIDCyopiSm3pOCjLBL0UhIuWewjpVSgXYBDaSMU/4+LjA3M6uG1hIREdGjioGFkRhYUG0ghEBsUjrCLv73sL60e9kG69W3sUSH5t5S1qmGno5MbUtERESVioGFkRhYUG2kUgncvH1XCjJOX45BVo7h1LbOdjZSxqlOLXzg5WJXDa0lIiKihxkDCyMxsKC6oLBIJaW2DbsYjTPXbiOvoNBgPS8XOynjVMfm3nC2r1cNrSUiIqKHCQMLIzGwoLoov6AQ527ESxmnLtyMR2GRymC9xl7OUsapDs29mdqWiIiIDGJgYSQGFvQwyM7Nx5lrt3HywTM0rkQnwtARwEwmQ3M/NynjVKC/F6wtLaqnwURERFRnMLAwEgMLehhlZOXg1IPUtqcuxeDWnRSDdeTmZmjTxFPKOMXUtkRERAQwsDAaAwt6FCSlZeGURmrbO3czDdaxtFAgMMBLyjjVzM+VqW2JiIgeQQwsjMTAgh41QgjcTs5A2KUY6dap1EzDqW1trZXo0MxbyjjV2MuJqW2JiIgeAQwsjMTAgh51QgjcvJ0iZZw6fSUW97LzDNZzsrNGpxa+UmfwBq72Vd9YIiIiqnYMLIzEwIJIW5FKhStRSVLGqTNX45Cbbzi1raeznRRkdGzhA1cHprYlIiJ6GDCwMBIDC6Ky5RcU4sKtBOm2qXM37hiV2raRp5OUcapjc2/Y1bOqhtYSERFRZWNgYSQGFkTlo05tq844dSkqwWBqW5kMaObrJl3RaBfQgKltiYiI6ggGFkZiYEFkmsz7uTj9ILVt2KUY3Lx912AdubkZWjX2kDJOtWniAQuFvBpaS0REROXFwMJIDCyIKtfd9CzpGRonL0bjdnKGwTpKhRyB/l5Sxqnmfm6QmzO1LRERUW3AwMJIDCyIqlZcUnpxoPGgj8bdjPsG69SzskD7Zt7oLKW2dYaZGVPbEhER1QQGFkZiYEFUfYQQiLyTirBL0Tj5oI+GMaltHWytpf4ZnVr6wNvVns/QICIiqiYMLIzEwIKo5hSpVLgWkyxlnAq/Eofc/AKD9Tyc6ksZpzq18IGbo201tJaIiOjRxMDCSAwsiGqPgsIinL8ZL2WcOnvjDgoKiwzW8/Nw/O8ZGs19YG/L1LZERESVhYGFkRhYENVeOXkFiHiQ2jbsUgwuRSZAZcShLcDXVQo02gd4w8aKqW2JiIgqqkYDCz8/P0RHR5ca/sYbb+Dbb7/FuHHj8OOPP2qN69y5M0JDQ6X3eXl5mD59On755Rfk5OSgZ8+eWLFiBRo0aCCVSUtLw5QpU/D7778DAAYOHIhvvvkG9vb2RreVgQVR3ZF5Pxf/Xo2TMk7diDOc2tbcTIZWjTwe9M/wxWNNPKG0YGpbIiIiY9VoYJGcnIyiov9uX7hw4QKeffZZHDlyBD169MC4ceOQmJiIdevWSWUsLCzg6OgovX/99dexe/durF+/Hk5OTpg2bRpSU1MRHh4Oc3NzAEDfvn0RFxeHNWvWAAAmTpwIPz8/7N692+i2MrAgqrtSMu4/SG0bjbCLMYhNSjdYx0JhjrZNvaSMUy0aujO1LRERURlq1a1QU6dOxZ49e3D9+nXIZDKMGzcO6enp2LVrl87yGRkZcHFxwYYNGzBy5EgAwJ07d+Dt7Y29e/ciKCgIly9fRosWLRAaGorOnTsDAEJDQ9G1a1dcuXIFAQEBRrWNgQXRw+PO3QycuhSLk5eKO4Mnp2UZrGNjWZzaVn3rVFNvF6a2JSIi0lBrrvPn5+fj559/RnBwsFZ6yKNHj8LV1RX29vZ46qmnMG/ePLi6ugIAwsPDUVBQgN69e0vlPT090apVK4SEhCAoKAgnTpyAnZ2dFFQAQJcuXWBnZ4eQkBC9gUVeXh7y8v5Lb5mZmQkAUKlUUKlUlbrsRFS93B1tMeDxFhjweAsIIRCdkCb1zzh9ORYZ93NL1bmfm4+/I27i74ibAAB7Wyt0bOb9IOuUN3zcHJjaloiIHkpmZsZdsa81gcWuXbuQnp6OcePGScP69u2L4cOHw9fXF5GRkZg9ezaeeeYZhIeHQ6lUIiEhARYWFnBwcNCalpubGxISEgAACQkJUiCiydXVVSqjy4IFC/DJJ5+UGp6WlobCwsIKLiUR1Ub1lUCvQB/0CvSBSiVwKz4V/16LR8T1eJy7lYCcvNKf+fR7OThw6hoOnLoGAHCxt0bbJh4IbFr8cnWoV92LQUREVCWcnZ2NKldrAovvv/8effv2haenpzRMfXsTALRq1QodOnSAr68v/vjjDwwdOlTvtIQQWr8c6voVsWSZkmbOnIng4GDpfWZmJry9veHg4MBboYgecs7OTujUuimA4tS2FyMTcOpSLE5dLk5tm19QOrVtcno2Dpy+iQOni69o+Lg5oGMLb3Rq7oMOzb3hWN+6WpeBiIioutWKwCI6OhoHDx7Ejh07yizn4eEBX19fXL9+HQDg7u6O/Px8pKWlaV21SEpKQrdu3aQyiYmJpaaVnJwMNzc3vfNSKpVQKpWlhpuZmRl9OYiI6j6lhRnaBXijXYA3Jg3phtz8Apy9fufBrVPRuHgrAUWq0l3VYhLTEJOYhu1HzgEA/L1dpIxT7Zs1QD2r0scXIiKiuqxWBBbr1q2Dq6sr+vXrV2a5lJQUxMbGwsPDAwDQvn17KBQKHDhwACNGjAAAxMfH48KFC1i4cCEAoGvXrsjIyEBYWBg6deoEADh58iQyMjKk4IOIyFiWFgp0bumLzi19ATyBe9l5D1LbFmecuhabrLPetdhkXItNxs9/hcPcTIYWDd2ljFOPNfWEpYWieheEiIioktV4ViiVSoWGDRvixRdfxOeffy4Nz8rKwpw5czBs2DB4eHggKioKs2bNQkxMDC5fvgxbW1sAxelm9+zZg/Xr18PR0RHTp09HSkpKqXSzd+7cwerVqwEUp5v19fVlulkiqnSpmdk4ffm/jFMxCWkG6yjk5nisqSc6tygONFo2codCbl4NrSUiIqo8NR5Y7N+/H0FBQbh69Sr8/f2l4Tk5ORg8eDDOnDmD9PR0eHh44Omnn8bcuXPh7e0tlcvNzcWMGTOwadMmrQfkaZZJTU0t9YC85cuX8wF5RFTlElIypYxTJy9GI8mI1LbWlgq0D1BnnPJBgI8rU9sSEVGtV+OBRV3BwIKITCWEQExiOk5ejMapSzE4dTkGafdyDNazq2eJjs19pGdo+Hk4MrUtERHVOgwsjMTAgogqm0olcD02WbqiEX4lFvdz8w3Wc3GoJwUZnVv4wsOZxyQiIqp5DCyMxMCCiKpaYZEKlyITpIxTEdfuIK/A8HNzvF3tpYxTHZt7w8nOphpaS0REpI2BhZEYWBBRdcvLL8TZGw9S216MxoVb8TpT25bUpIFz8dWMlr5oF9AA9W0sq6G1RET0qGNgYSQGFkRU0+7n5EupbU9eisHV6CSDdcxkMjRv6CZlnGrr7wUrJVPbEhFR5WNgYSQGFkRU26Tdy0b4lVicvFjcRyMqPtVgHYXcHI818ZQyTrVu7MHUtkREVCkYWBiJgQUR1XaJqfekjuBhl6KRkHLPYB0rpQLtAhpIncEDfF1hbmZWDa0lIqKHDQMLIzGwIKK6RAiBuKR06WpG2KUYpN3LNlivvo0lOjT3lgKNRp5OTG1LRERGYWBhJAYWRFSXCSFwI+6uFGScvhyDrBzDqW2d7WzQqYUPOj7oDO7lYlcNrSUiorqIgYWRGFgQ0cOksEiFy1GJGqltbyM333BqWy8XOynjVMfm3nC2r1cNrSUiorqAgYWRGFgQ0cMsv6AQ527ESxmnLtyMR2GRymC9Rl5O0oP6OjT3ZmpbIqJHGAMLIzGwIKJHSXZuPs5cu42TF6MRdikGV6ITYejbQiYDmvu5odOD1LaB/l6wtrSongYTEVGNY2BhJAYWRPQoy8jKwekHqW1PXYrBrTspBuvIzc3Qpomn1BG8TRNPprYlIiqHIpUK/16Nw930+3C2t0G7gAa1OnMfAwsjMbAgIvpPcnoWwi7+l9r2zt1Mg3UsLeQI1Eht29zPrVZ/QRIR1aSDp65h4c+HkJiaJQ1zc6yHd0f3RK+O/jXYMv0YWBiJgQURkX5xSelaz9BIyTCc2tbWWokOzbyljFONvUqntq1rv9YREVWGg6euYfrXv6HkSbr6CPnllEG1MrhgYGEkBhZERMYRQuDm7RQpyDh9ORb3svMM1nOsby1dzejc0hdXohKxcOPhOvVrHVFdIoSAEIDAg/8fnBIKIaASJYeVLqdSCZ11hbq8EGXOw+hyAlCVeF9Wm8sqp9lmfeVKDoM0rnzlVCrdbYa07AIqHctapFJh7W+hyMrRfdyUAXB1tMWfSyfWuh9aGFgYiYEFEVHFFKlUuBKVhLBLxR3B/716G7n5BSZNc84rQXjisUY6v5RLnUiUOkEy5kSiYuX0nkhoDFM9mI7ucppl9LcZEFCp9J+ElWozoL+c6r+THHU5zRMf6aROlF1OOqkrVU4Axf+0T+r0lFOVWAZd5f5btuJyECXGA9rLpaecSmqb9gmhZjlp2fWUU2/P4s2iu5xWm/WVE0Ljvb5yuvdx7X3wv/1IXzn1STrVbd/NGomOzX1quhlaGFgYiYEFEVHlKCgswvmb8Qi7WJza9tyNO0altiUiov98/kZ/9O3avKaboUVe0w0gIqJHi0JujnYBDdAuoAFeG9od2bn5iLh+W8o4dTEyoaabSERUJpkMkEFW/P+DvmEyWfF7M5kMkMbpLmf2oKyucvmFRcjIyjXYBmd7m6pbwApiYEFERDXK2tIC3Vo3RLfWDQEAO46ewyff/1XDraodKnJSYmw5yGSQATAzk/03TE859XRkkAFa89Ker6w85R60UWc5s//G6y6n8X8FykGjndKJoIFyZmbqYfrLmWks2391K1bOTKPt6u1ZspxMY9uVLldiHVRCOTMz9bCyT6r/G1b2fln+ctrrACX2X73rqhLXgebwqlKkUqHvO6uRlJpVqvM2AKmPRbuABlXajopgYEFERLWKt5u9UeXeG/0Mmvm5mXTyUjknJZV78qJ5YkZEjx5zMzO8O7onpn/9G2SAVnChPjK8O/qZWtdxG2BgQUREtUy7gAZwc6xn8Ne6kc8G1sovViIiU/Xq6I8vpwwq9RwLV0dbvDv6mVqbGY+dt43EzttERNVHncMd0P1rXW3N4U5EVJnq2rN8GFgYiYEFEVH10v3U2dr9ax0R0aOMgYWRGFgQEVW/uvZrHRHRo4x9LIiIqNYyNzOrdQ+AIiIi3fizDxERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmYyBBRERERERmaxGAws/Pz/IZLJSrzfffBMAIITAnDlz4OnpCSsrK/To0QMXL17UmkZeXh4mT54MZ2dn2NjYYODAgYiLi9Mqk5aWhjFjxsDOzg52dnYYM2YM0tPTq2sxiYiIiIgeejUaWJw6dQrx8fHS68CBAwCA4cOHAwAWLlyIJUuWYPny5Th16hTc3d3x7LPP4t69e9I0pk6dip07d2Lz5s34559/kJWVhf79+6OoqEgqM2rUKERERGDfvn3Yt28fIiIiMGbMmOpdWCIiIiKih5hMCCFquhFqU6dOxZ49e3D9+nUAgKenJ6ZOnYr33nsPQPHVCTc3N3zxxReYNGkSMjIy4OLigg0bNmDkyJEAgDt37sDb2xt79+5FUFAQLl++jBYtWiA0NBSdO3cGAISGhqJr1664cuUKAgICjGpbZmYm7OzskJGRgfr161fB0hMRERER1V21po9Ffn4+fv75Z4wfPx4ymQyRkZFISEhA7969pTJKpRJPPfUUQkJCAADh4eEoKCjQKuPp6YlWrVpJZU6cOAE7OzspqACALl26wM7OTipDRERERESmkdd0A9R27dqF9PR0jBs3DgCQkJAAAHBzc9Mq5+bmhujoaKmMhYUFHBwcSpVR109ISICrq2up+bm6ukpldMnLy0NeXp70PjMzEwCgUqmgUqnKuXRERERERHWTmZlx1yJqTWDx/fffo2/fvvD09NQaLpPJtN4LIUoNK6lkGV3lDU1nwYIF+OSTT0oNT0tLQ2FhYZnzJyIiIiJ6WDg7OxtVrlYEFtHR0Th48CB27NghDXN3dwdQfMXBw8NDGp6UlCRdxXB3d0d+fj7S0tK0rlokJSWhW7duUpnExMRS80xOTi51NUTTzJkzERwcLL3PzMyEt7c3HBwc2MeCiIiIiKiEWhFYrFu3Dq6urujXr580rGHDhnB3d8eBAwcQGBgIoLgfxrFjx/DFF18AANq3bw+FQoEDBw5gxIgRAID4+HhcuHABCxcuBAB07doVGRkZCAsLQ6dOnQAAJ0+eREZGhhR86KJUKqFUKksNNzMzM/pyEBERERHRo6LGAwuVSoV169Zh7NixkMv/a45MJsPUqVMxf/58NG3aFE2bNsX8+fNhbW2NUaNGAQDs7OwwYcIETJs2DU5OTnB0dMT06dPRunVr9OrVCwDQvHlz9OnTB6+++ipWr14NAJg4cSL69+9vdEYoIiIiIiIqW40HFgcPHkRMTAzGjx9faty7776LnJwcvPHGG0hLS0Pnzp2xf/9+2NraSmWWLl0KuVyOESNGICcnBz179sT69ethbm4uldm4cSOmTJkiZY8aOHAgli9fXvULR0RERET0iKhVz7GozfgcCyIiIiIi/dhZgIiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITMbAgoiIiIiITCavSKXY2FhERUUhOzsbLi4uaNmyJZRKZWW3jYiIiIiI6gijA4vo6GisWrUKv/zyC2JjYyGEkMZZWFjgiSeewMSJEzFs2DCYmfFCCBERERHRo8SoCODtt99G69atcf36dXz66ae4ePEiMjIykJ+fj4SEBOzduxePP/44Zs+ejTZt2uDUqVNV3W4iIiIiIqpFZELz0oMeM2bMwLvvvgsXFxeDE9y7dy+ys7Px/PPPV0oDa4vMzEzY2dkhIyMD9evXr+nmEBERERHVKkYFFsTAgoiIiIioLBXqvF1UVIS7d+9CJpPByckJ5ubmld0uIiIiIiKqQ8rVy3rnzp3o3r07rK2t4enpCQ8PD1hbW6N79+7YtWtXFTWRiIiIiIhqO6MDi9WrV+OFF15AmzZtsGXLFvzzzz84fvw4tmzZgjZt2uCFF17A2rVrq7KtRERERERUSxndx6JJkyaYOXMmJkyYoHP8Dz/8gHnz5uHmzZuV2sDagn0siIiIiIj0M/qKxe3bt/H444/rHd+tWzfcuXOnUhpFRERERER1i9GBRcuWLbFmzRq949euXYuWLVtWSqOIiIiIiKhuMTor1OLFi9GvXz/s27cPvXv3hpubG2QyGRISEnDgwAFER0dj7969VdlWIiIiIiKqpcr1HIuoqCisXLkSoaGhSEhIAAC4u7uja9eueO211+Dn51dV7axx7GNBRERERKQfH5BnJAYWRERERET6VegBedHR0UhISIBMJoObmxt8fX0ru11ERERERFSHlOsBeUuXLoW3tzcaNWqErl27okuXLmjUqBG8vb2xbNmyKmoiERERERHVdkZfsZg7dy6+/PJLzJo1C0FBQXBzc4MQAklJSfjrr78wZ84cZGVl4cMPP6zK9hIRERERUS1kdB8Lb29vfPPNNxg8eLDO8Tt37sRbb72F27dvV2b7ag32sSAiIiIi0s/oW6FSUlIQEBCgd7y/vz/S0tIqpVFERERERFS3GB1YdOrUCfPmzUNhYWGpcYWFhZg/fz46depUqY0jIiIiIqK6weg+Ft988w169+4NV1dXPPXUU1oPyPv777+hVCpx4MCBqmwrERERERHVUuV6jsW9e/fw888/63xA3qhRox7qvgfsY0FEREREpB8fkGckBhZERERERPqV+wF5WVlZCA8Plx6Q5+7ujnbt2qFevXpV0T4iIiIiIqoDjA4sCgsLMW3aNKxduxa5ubmwsLCAEAIFBQWwtLTExIkTsWjRIigUiqpsLxERERER1UJGZ4WaNm0atm/fjnXr1iE1NRW5ubnIy8tDamoq1q1bhx07dmDGjBlV2VYiIiIiIqqljO5j4eLigi1btuCZZ57ROf7QoUN44YUXkJycXKkNrC3Yx4KIiIiISD+jr1jk5OTA2dlZ73gnJyfk5ORUSqOIiIiIiKhuMTqwePrppxEcHIzExMRS4xITE/Huu+/qvZpBREREREQPN6MDixUrViAxMRENGjRAYGAg+vTpg759+yIwMBANGjRAYmIiVqxYUe4G3L59G6NHj4aTkxOsra3Rtm1bhIeHS+PHjRsHmUym9erSpYvWNPLy8jB58mQ4OzvDxsYGAwcORFxcnFaZtLQ0jBkzBnZ2drCzs8OYMWOQnp5e7vYSEREREVFp5XqOhUqlwl9//aXzAXm9e/eGmZnRcQqA4pP9wMBAPP3003j99dfh6uqKmzdvws/PD40bNwZQHFgkJiZi3bp1Uj0LCws4OjpK719//XXs3r0b69evh5OTE6ZNm4bU1FSEh4fD3NwcANC3b1/ExcVhzZo1AICJEyfCz88Pu3fvNqqt7GNBRERERKRfjT4g7/3338f//vc/HD9+XG+ZcePGIT09Hbt27dI5PiMjAy4uLtiwYQNGjhwJALhz5w68vb2xd+9eBAUF4fLly2jRogVCQ0PRuXNnAEBoaCi6du2KK1euICAgwGBbGVgQEREREelX7gfklSUmJgZeXl7SVQJDfv/9dwQFBWH48OE4duwYvLy88MYbb+DVV1/VKnf06FG4urrC3t4eTz31FObNmwdXV1cAQHh4OAoKCtC7d2+pvKenJ1q1aoWQkBAEBQXhxIkTsLOzk4IKAOjSpQvs7OwQEhKiM7DIy8tDXl6e9D4zMxNA8VUblUpl/EohIiIiIqrDjL0rqVIDCz8/PzRt2hQLFizA0KFDDZa/desWVq5cieDgYMyaNQthYWGYMmUKlEolXn75ZQDFtzANHz4cvr6+iIyMxOzZs/HMM88gPDwcSqUSCQkJsLCwgIODg9a03dzcpNu1EhISpEBEk6urq1SmpAULFuCTTz4pNTwtLQ2FhYUGl42IiIiI6GFQVmZYTZUaWBw5cgSRkZHYtm2bUYGFSqVChw4dMH/+fABAYGAgLl68iJUrV0qBhfr2JgBo1aoVOnToAF9fX/zxxx9lzkMIAZlMJr3X/FtfGU0zZ85EcHCw9D4zMxPe3t5wcHDgrVBERERERCVUamDx1FNP4amnnsK4ceOMKu/h4YEWLVpoDWvevDm2b99eZh1fX19cv34dQHHn8fz8fKSlpWldtUhKSkK3bt2kMrrS5CYnJ8PNzU3nfJRKJZRKZanhZmZm5e6kTkRERET0sKvQGXJRURESExORlJSEoqKiCs+8e/fuuHr1qtawa9euwdfXV2+dlJQUxMbGwsPDAwDQvn17KBQKHDhwQCoTHx+PCxcuSIFF165dkZGRgbCwMKnMyZMnkZGRIZUhIiIiIqKKK1dgsXPnTnTv3h3W1tbw9PSEh4cHrK2t0b17d71Zm8ryzjvvIDQ0FPPnz8eNGzewadMmrFmzBm+++SYAICsrC9OnT8eJEycQFRWFo0ePYsCAAXB2dsaQIUMAAHZ2dpgwYQKmTZuGQ4cO4cyZMxg9ejRat26NXr16ASi+CtKnTx+8+uqrCA0NRWhoKF599VX079/fqIxQRERERERUNqMDi9WrV+OFF15AmzZtsGXLFvzzzz84fvw4tmzZgjZt2uCFF17A2rVryzXzjh07YufOnfjll1/QqlUrzJ07F8uWLcNLL70EADA3N8f58+cxaNAg+Pv7Y+zYsfD398eJEydga2srTWfp0qUYPHgwRowYIQU+u3fv1spOtXHjRrRu3Rq9e/dG79690aZNG2zYsKFc7SUiIiIiIt2Mfo5FkyZNMHPmTEyYMEHn+B9++AHz5s3DzZs3K7WBtQWfY0FEREREpJ/RVyxu376Nxx9/XO/4bt264c6dO5XSKCIiIiIiqluMDixatmyJNWvW6B2/du1atGzZslIaRUREREREdYvR6WYXL16Mfv36Yd++fejduzfc3Nwgk8mQkJCAAwcOIDo6Gnv37q3KthIRERERUS1ldB8LAIiKisLKlSsRGhoqPbHa3d0dXbt2xWuvvQY/P7+qameNYx8LIiIiIiL9yhVYPMoYWBARERER6cdHSBMRERERkckqLbA4e/as1nMjiIiIiIjo0VGpVyx4VxURERER0aPJ6KxQQ4cOLXN8RkYGZDKZyQ0iIiIiIqK6x+jAYvfu3Xj22Wfh5uamc3xRUVGlNYqIiIiIiOoWowOL5s2bY9iwYZgwYYLO8REREdizZ0+lNYyIiIiIiOoOo/tYtG/fHv/++6/e8UqlEj4+PpXSKCIiIiIiqluMfo5FXl4eioqKYG1tXdVtqpX4HAsiIiIiIv2MvhVKqVRWZTuIiIiIiKgOMyndbL9+/RAfH19ZbSEiIiIiojrKpMDi77//Rk5OTmW1hYiIiIiI6qhKfUAeERERERE9mkwKLHx9faFQKCqrLUREREREVEcZ3XlblwsXLlRWO4iIiIiIqA4rd2Bx/fp1hISEICEhATKZDG5ubujWrRuaNm1aFe0jIiIiIqI6wOjAIiMjAy+//DJ2794NOzs7uLq6QgiB5ORkZGZmYsCAAfjpp5/4jAciIiIiokeQ0X0sJk+ejMjISJw4cQJpaWm4evUqrl27hrS0NISEhCAyMhKTJ0+uyrYSEREREVEtZfSTt+3t7fHXX3+hc+fOOseHhoaiT58+SE9Pr8z21Rp88jYRERERkX7lygolk8kqNI6IiIiIiB5uRgcWAwYMwKuvvorTp0+XGnf69Gm89tprGDhwYKU2joiIiIiI6gajb4VKT0/Hiy++iL/++gv29vZwdXWFTCZDYmIiMjIyEBQUhE2bNsHe3r6Km1wzeCsUEREREZF+RgcWaleuXMGJEyeQkJAAAHB3d0fXrl3RrFmzKmlgbcHAgoiIiIhIv3IHFo8qBhZERERERPoZ1cfixIkTRk/w/v37uHjxYoUbREREREREdY9RgcXLL7+MZ599Flu3bkVWVpbOMpcuXcKsWbPQpEkT/Pvvv5XaSCIiIiIiqt2MevL2pUuXsHr1anz00Ud46aWX4O/vD09PT1haWiItLQ1XrlzB/fv3MXToUBw4cACtWrWq6nYTEREREVEtUu4+Fv/++y+OHz+OqKgo5OTkwNnZGYGBgXj66afh6OhYVe2scexjQURERESkHztvG4mBBRERERGRfuV68jYREREREZEuDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkRj3HAgC+/vpro8pNmTKlwo0hIiIiIqK6yeh0sw0bNjQ8MZkMt27dMrlRtRHTzRIRERER6Wf0FYvIyMiqbAcREREREdVh7GNBREREREQmYx8LIiIiIiIyWYX7WMTGxsLDwwNy+X+xCftYEBERERE9mircx8LW1hbHjh1Do0aNKr1RRERERERUt7CPBRERERERmYyBBRERERERmYyBBRERERERmczoPhaZmZla72UyGbKyskoNZ8dmIiIiIqJHj9FZoczMzCCTyaT3Qgid74uKiiq/lbUAs0IREREREeln9BWLI0eOVGU7iIiIiIioDjP6isWjjlcsiIiIiIj0q3AfC3140k1ERERE9OgxOrCwt7fX6lNR0sPex4KIiIiIiPSrUB8LIQSee+45fPfdd/Dy8qqShhERERERUd1R4T4Wtra2OHv2LBo1alTZbaqV2MeCiIiIiEi/Gn9A3u3btzF69Gg4OTnB2toabdu2RXh4uDReCIE5c+bA09MTVlZW6NGjBy5evKg1jby8PEyePBnOzs6wsbHBwIEDERcXp1UmLS0NY8aMgZ2dHezs7DBmzBikp6dXxyISERERET30ajSwSEtLQ/fu3aFQKPDnn3/i0qVLWLx4Mezt7aUyCxcuxJIlS7B8+XKcOnUK7u7uePbZZ3Hv3j2pzNSpU7Fz505s3rwZ//zzD7KystC/f3+t/h6jRo1CREQE9u3bh3379iEiIgJjxoypzsUlIiIiInpomXQr1Llz59CwYcMKz/z999/H//73Pxw/flzneCEEPD09MXXqVLz33nsAiq9OuLm54YsvvsCkSZOQkZEBFxcXbNiwASNHjgQA3LlzB97e3ti7dy+CgoJw+fJltGjRAqGhoejcuTMAIDQ0FF27dsWVK1cQEBBgsK28FYqIiIiISD+jO28PHTpU631ubi5ee+012NjYaA3fsWOH0TP//fffERQUhOHDh+PYsWPw8vLCG2+8gVdffRUAEBkZiYSEBPTu3Vuqo1Qq8dRTTyEkJASTJk1CeHg4CgoKtMp4enqiVatWCAkJQVBQEE6cOAE7OzspqACALl26wM7ODiEhIToDi7y8POTl5Unv1el2VSoVVCqV0ctIRERERFSXmZkZd5OT0YGFnZ2d1vvRo0eXr0U63Lp1CytXrkRwcDBmzZqFsLAwTJkyBUqlEi+//DISEhIAAG5ublr13NzcEB0dDQBISEiAhYUFHBwcSpVR109ISICrq2up+bu6ukplSlqwYAE++eSTUsPT0tJQWFhY/oUlIiIiIqqDnJ2djSpndGCxbt26CjdGH5VKhQ4dOmD+/PkAgMDAQFy8eBErV67Eyy+/LJUr+fwM9TMzylKyjK7yZU1n5syZCA4Olt5nZmbC29sbDg4OvBWKiIiIiKgEowOLquDh4YEWLVpoDWvevDm2b98OAHB3dwdQfMXBw8NDKpOUlCRdxXB3d0d+fj7S0tK0rlokJSWhW7duUpnExMRS809OTi51NURNqVRCqVSWGm5mZmb05SAiIiIiokdFjZ4hd+/eHVevXtUadu3aNfj6+gIAGjZsCHd3dxw4cEAan5+fj2PHjklBQ/v27aFQKLTKxMfH48KFC1KZrl27IiMjA2FhYVKZkydPIiMjQypDREREREQVV6NXLN555x1069YN8+fPx4gRIxAWFoY1a9ZgzZo1AIpvX5o6dSrmz5+Ppk2bomnTppg/fz6sra0xatQoAMV9PyZMmIBp06bByckJjo6OmD59Olq3bo1evXoBKL4K0qdPH7z66qtYvXo1AGDixIno37+/URmhiIiIiIiobBVON1tZ9uzZg5kzZ+L69eto2LAhgoODpaxQQHE/iE8++QSrV69GWloaOnfujG+//RatWrWSyuTm5mLGjBnYtGkTcnJy0LNnT6xYsQLe3t5SmdTUVEyZMgW///47AGDgwIFYvny51jMzysJ0s0RERERE+tV4YFFXMLAgIiIiItKPvZCJiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkDCyIiIiIiMhkNRpYzJkzBzKZTOvl7u4ujR83blyp8V26dNGaRl5eHiZPngxnZ2fY2Nhg4MCBiIuL0yqTlpaGMWPGwM7ODnZ2dhgzZgzS09OrYxGJiIiIiB4JNX7FomXLloiPj5de58+f1xrfp08frfF79+7VGj916lTs3LkTmzdvxj///IOsrCz0798fRUVFUplRo0YhIiIC+/btw759+xAREYExY8ZUy/IRERERET0K5DXeALlc6ypFSUqlUu/4jIwMfP/999iwYQN69eoFAPj555/h7e2NgwcPIigoCJcvX8a+ffsQGhqKzp07AwDWrl2Lrl274urVqwgICKj8hSIiIiIiesTU+BWL69evw9PTEw0bNsQLL7yAW7duaY0/evQoXF1d4e/vj1dffRVJSUnSuPDwcBQUFKB3797SME9PT7Rq1QohISEAgBMnTsDOzk4KKgCgS5cusLOzk8oQEREREZFpavSKRefOnfHTTz/B398fiYmJ+Oyzz9CtWzdcvHgRTk5O6Nu3L4YPHw5fX19ERkZi9uzZeOaZZxAeHg6lUomEhARYWFjAwcFBa7pubm5ISEgAACQkJMDV1bXUvF1dXaUyuuTl5SEvL096n5mZCQBQqVRQqVSVsfhERERERLWemZlx1yJqNLDo27ev9Hfr1q3RtWtXNG7cGD/++COCg4MxcuRIaXyrVq3QoUMH+Pr64o8//sDQoUP1TlcIAZlMJr3X/FtfmZIWLFiATz75pNTwtLQ0FBYWGlw2IiIiIqKHgbOzs1HlaryPhSYbGxu0bt0a169f1znew8MDvr6+0nh3d3fk5+cjLS1N66pFUlISunXrJpVJTEwsNa3k5GS4ubnpbcvMmTMRHBwsvc/MzIS3tzccHBxQv379Ci0fEREREdHDqlYFFnl5ebh8+TKeeOIJneNTUlIQGxsLDw8PAED79u2hUChw4MABjBgxAgAQHx+PCxcuYOHChQCArl27IiMjA2FhYejUqRMA4OTJk8jIyJCCD12USiWUSmWp4WZmZkZfDiIiIiIiqiihKkJOTDgKs+5CXs8ZVj7tITMzr+lm6SUTQoiamvn06dMxYMAA+Pj4ICkpCZ999hmOHTuG8+fPw8nJCXPmzMGwYcPg4eGBqKgozJo1CzExMbh8+TJsbW0BAK+//jr27NmD9evXw9HREdOnT0dKSgrCw8Nhbl684vv27Ys7d+5g9erVAICJEyfC19cXu3fvNrqtmZmZsLOzQ0ZGBq9YEBEREVGVunf5AJL/+hyF9/6780Zu6waXoPdh2/zZGmyZfjX603tcXBxefPFFBAQEYOjQobCwsEBoaCh8fX1hbm6O8+fPY9CgQfD398fYsWPh7++PEydOSEEFACxduhSDBw/GiBEj0L17d1hbW2P37t1SUAEAGzduROvWrdG7d2/07t0bbdq0wYYNG2pikYmIiIiIynTv8gHEbwvWCioAoPBeEuK3BePe5QM11LKy1egVi7qEVyyIiIiIqKoJVREiv+5dKqj4jwzy+m5oOPmvWndbFDsLEBERERHVAkV5WUgN+b6MoAIABAozE5ATE15t7TJWreq8TURERET0qFAV5iP39llk3wpFdlQocm9fAESRUXULs+5WcevKj4EFEREREVE1EKoi5CVeQXbkSWRHhiIn5l+IwtwKTUtez7hnS1QnBhZERERERFVACIGC1GhkR4YWBxPRYVDlZBiuKDMDhErfSMjru8HKp32ltrUyMLAgIiIiIqokhfeSiwOJqOKrEoWZCQbrmFnWh7VfJ1g37ALrhl2Ql3Qd8dvUD2rWzLMkAwC49H6v1nXcBhhYEBERERFVWFHuPeREn3pwVSIU+XdvGawjk1vCyicQ1n5dYN2oC5RuzbQCBQsnP+D5JaWfY1HfDS6936u1z7FgulkjMd0sEREREakK85AbGyEFErnxF8u4bekBmTksPVs9uCLRGZYN2sJMbmFwXnXtydu8YkFEREREpIdQFSEv4dKDzE0nkRN7BqIwz2A9C5cm0q1NVr4dYK6sV+55y8zMYe3XqSLNrhEMLIiIiIiIHhBCIP/uLamPRE70aahyMw3Wk9t5FAcSfsVXJWpj1qaqxsCCiIiIiB5pBZkJUgrY7KiTKLqXZLCOmZU9rP06w7phZ1g37AKFgzdkMlk1tLb2YmBBRERERI+UopwMZEeFPbgqcRIFKZEG68gUVrDyaf8gkOgKpZs/ZDKzamht3cHAgoiIiIgeaqqCHOTEnnlwVeIE8uIvQzuNqw5mclh6tS6+KtGoK6y82kBmrqiW9tZVDCyIiIiI6KEiVIXIvXPxv8xNcREQRQUG61m4+sOmUVdY+XWGtU97mCltqqG1Dw8GFkRERERUpwkhkJ98E9lRoci+FYqcmNNQ5WUZrKewbyClgLXy6wS5jVM1tPbhxcCCiIiIiOqcgox4ZEeeKL69KeokirLuGqxjbu34oI9EZ1j7dYHCoUE1tPTRwcCCiIiIiGq9ouy04g7XDzI3FaTGGKwjs7CGtW8HKQWshWtTdriuQgwsiIiIiKjWUeVnIyfm3+LbmyJPIi/hCozpcG3VoK10VcLSszU7XFcjBhZEREREVONEUQFy75x/kLnpJHLiIgBVoYFaMijdm0m3Nln5tIOZhXV1NJd0YGBBRERERNVOCBXyk64/6CMRiuzo0xD52QbrKRx9HjyYrius/TrB3Nq+6htLRmFgQURERETVoiAtTsrclB0VhqLsVIN1zG2cHmRuKn4p7DyqoaVUEQwsiIiIiKhKFN5PkbI25USeREF6nME6Zsp6sPLtKN3eZOHSGDKZrBpaS6ZiYEFERERElUKVdx/ZMacf9JMIRX7SNYN1ZOYKWHoHPri9qQssPVtCZsZT1LqIW42IiIiIKkQUFSAn7qyUAjb39nnjOlx7tPjvwXTegTBTWFVLe6lqMbAgIiIiIqMIoUJewlUpBWxOTDhEQY7Begqnhg9ubepc3OHayq4aWkvVjYEFEREREekkhEBBWmzxFYnI4g7Xqpx0g/XMbV1h7dcZNg27wKphZyjqu1d9Y6nGMbAgIiIiIklh1t0HfSROIDvqJAoz4g3WMVPawsqvI6wbdoFNwy5QODVkh+tHEAMLIiIiokdYUV4WcqJPFwcSkSeRn3zDYB2ZXAkr70Cpn4TSvQVkZubV0FqqzRhYEBERET1CVIX5yI2LeHB700nk3rkAiKKyK8nMYOnZ6r/MTd5tYSZXVk+Dqc5gYEFERET0EBOqIuQlXJaecJ0TcwaiMNdgPQvnxsUdrht2gZVvB5hb1q+G1lJdxsCCiIiI6CEihEBBShSyo07+1+E6N9NgPXl99+Jbm/w6w7phZ8htXauhtfQwYWBBREREVMcV3kuSbm3KjgpFYWaiwTpmVnaw9u304KpEVygcfdjhmkzCwIKIiIiojinKzURO1KniqxK3TiA/JdJgHZncElY+7R50uO4CpXszyGRm1dBaelQwsCAiIiKq5VQFuciNi8D9W8UpYPPiLwFCVXYlmTksvVrBumFXWDfsDEuvx2Amt6ieBtMjiYEFERERUS0jVEXIjb8kpYDNjT0DUZRvsJ6Fa1Opn4SVbweYK+tVQ2uJijGwICIiIqphQgjk370l9ZPIiT4FVd49g/Xkdp7SrU3Wfp0gr+dcDa0l0o2BBREREVENKMiI/y9zU+RJFGUlG6xjbu0AK79O0lUJhYM3O1xTrcHAgoiIiKgaFOVkIDsq7EEgEYqC1GiDdWQKK1j5dpAeTKd082eHa6q1GFgQERERVQFVQQ5yYv4tTgEbGYq8hMsARNmVzOSw8moDK/WD6bzaQGauqJb2EpmKgQURERFRJRCqQuTeuYDsW6HIjgpFbtxZiKICg/WUbgFSPwkrn/Yws7CuhtYSVT4GFkREREQVIIRAfvIN6damnOjTUOXfN1hP4dCgOAWsX2dY+XWC3MaxGlpLVPUYWBAREREZqSD9jpQCNjvqJIrupxisY27jCGu/Lg+ecN0FCnuvamgpUfVjYEFERESkR1F2mhREZEeGoiAt1mAdMwub4g7XDzI3Wbg2ZeYmeiQwsCAiIiJ6QJWfjZyYcCkFbF7iFcOVzOSw8m4rXZWw9GzFDtf0SGJgQURERI8sUVSA3NvniwOJqJPIiTsLqAoN1JJB6d5curXJyjuQHa6JwMCCiIiIHiFCqJCfeA3ZUSdx/0GHa1GQY7CewtH3QSDRFda+HWFubV/1jSWqYxhYEBER0UMtPy32wbMkTiAnKgxF2WkG65jXc5ZSwFr7dYbCzqMaWkpUtzGwICIioodKYdbd/55wHXUShem3DdYxU9aDlW8n6fYmC+dG7HBNVE4MLIiIiKhOU+XdR3b0KSlzU37SdYN1ZOYWsPQOlAIJS48WkJnxtIjIFPwEERERUZ2iKsxH7u2zD25vCkXu7fOAKDJQSwalZ0tY+2l0uFZYVkt7iR4VDCyIiIioVhNChbyEK/9lbooOhyjMNVjPwqkhrBo+eDCdb0eYW9lVQ2uJHl0MLIiIiKhWEUKgIDUG2VGhyL4ViuzoMKhyMgzWk9u6FQcRfp1h1bALFPXd/r+9u49t6jz0OP6z48RxQuLxkteSENiApiRdCR1JqDrYLU3oBrSVNtaiRdU2pZVWlVKKxlqpGp0ovXRSN6ZqG0zq2CruOqmbtlW34xa6atIGCSVtNqCBQUmAFJJACUmK82o/9w8bg2MndnFiO+T7kSLD8XnOeU5Aj8/Pz8uJQW0BXEWwAAAAcTfUc8E/R8LVXKeh7rawZaypmUqb9SWlzan0rtw0vYgJ10AcESwAAEDMuft61Hv6kFzNB+RqrtfAxY/ClrHY7HIULPQ+S2J2uey5xbJYk2JQWwCRIFgAAIBx5xnqV1/rv+Q6dUCulnr1nTsiGc/ohSxWpeaXXlu5aeYXZbXZY1NhAJ8ZwQIAAIw543Grv+1D/8pNvWc/kBnqD1suJesLvnkSFXLMulNJqRkxqC2AsUCwAAAAUTPGaPCTZn+QcJ1+T56+7rDlbM48/xKwaUXlsmVkxaC2AMaDNZ4n37x5sywWS8BPbm6u/31jjDZv3qz8/Hw5HA4tW7ZMR48eDThGf3+/nnjiCc2YMUPp6elavXq1WltbA/bp7OxUTU2NnE6nnE6nampqdPny5VhcIgAAN63B7nZ1/+vPavvzs2revlwtv1itjj0v6NPj74wYKqwOp6YUVyn7q8+p6PG3NPuJt5W7eosyS1cSKoAJLu49FgsWLNC+ffv8f09KujYJ66WXXtLLL7+sXbt2ad68edqyZYvuvfdeHT9+XBkZ3q7R9evX680339Trr7+u6dOn6+mnn9bKlSvV0NDgP9batWvV2tqqPXv2SJIeffRR1dTU6M0334zhlQIAMLG5e7u8T7j29UoMftIctowl2SFHYZmvV6JS9tz5slji+r0mgHFiMcaYeJ188+bN+tOf/qTGxsag94wxys/P1/r167Vp0yZJ3t6JnJwcbdu2TY899pi6urqUlZWl1157Td/85jclSefOnVNBQYHeeustVVdXq6mpSbfddpvq6upUXl4uSaqrq1NlZaWOHTum+fPnR1TX7u5uOZ1OdXV1KTMzc2x+AQAAJDDPYJ96z37gXwK2v60pggnXSUq9pdQ7tGl2hVJvuV1WW0psKgwgruLeY3HixAnl5+fLbrervLxcW7du1Zw5c9Tc3Ky2tjZVVVX597Xb7Vq6dKn279+vxx57TA0NDRocHAzYJz8/XyUlJdq/f7+qq6t14MABOZ1Of6iQpIqKCjmdTu3fv3/EYNHf36/+/muTzLq7vV26Ho9HHk+YRhUAgAnIeIbUf/6oXM316m2pV1/rv2TcA2HLpWTPlaPIO0fCUbhIVnt6wPt8bgITm9UaWS9jXINFeXm5fvvb32revHlqb2/Xli1btGTJEh09elRtbd4H4+TkBD41MycnR6dPn5YktbW1KSUlRVOnTg3a52r5trY2ZWdnB507Ozvbv08oL774op5//vmg7Z2dnRoaGvpsFwoAQAIyxsjd2aKh1vc1+PH7GjrXKDNwJWw5a0aukmcuku2WMiXfUiZrmvdzuF9S/5V+6Ur41Z8ATBwzZsyIaL+4Bov77rvP/+fS0lJVVlbq85//vH7zm9+ooqJCkoKeoGmMCftUzeH7hNo/3HGeeeYZbdiwwf/37u5uFRQUaOrUqQyFAgBMWINd59XbUi9XS716m+vlvnIxbJmktKlyFJXLUbRYaUUVSp46MwY1BTDRxH0o1PXS09NVWlqqEydO6IEHHpDk7XHIy8vz79PR0eHvxcjNzdXAwIA6OzsDei06Ojq0ZMkS/z7t7e1B57pw4UJQb8j17Ha77Pbgh/BYrdaIu4MAAIg3t+uyXC0H5WrxzpMYvHQmbBlLskNps+70LwGbkjOPCdcAwkqoYNHf36+mpibdfffdmj17tnJzc7V3714tXLhQkjQwMKC///3v2rZtmyRp0aJFSk5O1t69e7VmzRpJ0vnz53XkyBG99NJLkqTKykp1dXXp4MGDWrx4sSSpvr5eXV1d/vABAMDNwjPgGjbh+pikMOu0WG1yzPyid+WmORVKzS+VJSk5JvUFcPOIa7DYuHGjVq1apcLCQnV0dGjLli3q7u7WI488IovFovXr12vr1q2aO3eu5s6dq61btyotLU1r166VJDmdTn33u9/V008/renTp2vatGnauHGjSktLtXz5cklScXGxVqxYodraWu3YsUOSd7nZlStXRrwiFAAAicq4B9V37si1J1y3Nkqe8HMB7Tm3ep9wPbtSjsIyWVPSxr+yAG5qcQ0Wra2tevjhh3Xx4kVlZWWpoqJCdXV1mjVrliTp+9//vnp7e/W9731PnZ2dKi8v19tvv+1/hoUk/eQnP5HNZtOaNWvU29ure+65R7t27Qp4Hsbu3bu1bt06/+pRq1ev1iuvvBLbiwUAYAwYYzTQcUKulnq5mg/IdfqQzIArbLnkqQX+JWDTihYrKW1q2DIA8FnE9TkWEwnPsQAAxMvg5Y+9IaLZO+nafeVS2DJJ6dN9QaLcO+H6c/kxqCmAySyh5lgAAABp6Mol78pNzfVytdRpsLM1bBlrSrocs77kG95UoZSsL4RdRREAxhLBAgCAOPMMuOQ6fcgXJurU3348bBlLUrJSZ97h75VIzS+RxcrHOoD4oQUCACDGjHtQvR//2zvZurlevR//O4IJ1xbZ84qVVuQNEo7CMlmTHTGpLwBEgmABAMA4M8aj/vb/+JeA7T3TIDPYG7Zc8rQi/9CmtKLFSnI4Y1BbALgxBAsAAMaYMUaDnWd9QaJevacPyu3qDFsuaUqWfwnYtKLFSnbmhS0DAImCYAEAwBgY+vSif7K1q7leQ13nwpax2jO8E67n+J5wPWMOE64BTFgECwAAboC7/1P1nj7k75UYuHAibBlLUoochWVKKyqXY3aFUvOKmXAN4KZBawYAQAQ8QwPqa23090r0fXxEMu7RC1msSs1b4J8nkTrzDlmTU2NTYQCIMYIFAAAhGI9b/e3HvEGiuU69Z96XGeoLWy5lxhzfZOtyOYq+pKRUHqoKYHIgWAAAIN+E60un/Ss3uVoOytPXHbacLTPHvwRs2uwK2TKyY1BbAEg8BIsJwHjc6j3ToKFPL8o2ZYYchYtksSbFu1oAMOEN9Vy4LkjUaai7PWwZa2qm0ooW+x5MV6HkabOYcA0AIlgkvJ6mvbrwf/+toZ5rH3a2jBxlVf9AGcX3xrFmADDxuPu6r5twXaeBi6fClrHYUuUoXOhdAnZ2uew5t/LlDgCEYDHGmHhXYiLo7u6W0+lUV1eXMjNjM162p2mvzr+xQdLwfyLvN2N5X3+ZcAEAo/AM9avv7Af+lZv6zh+VjGf0QpYkpeaX+Hokyr0Trm0psakwAExgBIsIxTpYGI9bzT+rCuipCGK1edc8t9okq1UWS9KwV6tkTZIsvj9bkmSxXv9q9X7r5tvPu8+1bf73Qmwb/T3fOYaf3zpsW8hyw+o5rFzwMYOvO7A8wxOAieyzDgU1Hrf6zn+o3uY6uVrq1Xv2A5mh/rDnScn6gn9ok2PWnUqyTxnLywCASYGhUAmq90zD6KFCkjxDGuj4T2wqNGFZfIHEIgUFrxCvvv0swwLKiMEtIJSNEtw+azgLG8BCB7aRy1lGCF4hyo8Q2AhuiLVIhoIaYzRw8ZRcLb6Vm04fimzCtTPPt3KTt1fCNmXGuF0HAEwWBIsENfTpxXhX4SZhJM+QbzDZ4NUtGEthA5gvsI0YwEIHtuDetODgNlpgCwhuEQcwa0B4C1/OEiZ4RR7YrpUfVt9JaqShoEM9HTr/xlNy3blWnv4euVrq5e7pCHs8q+NzSisq96/clDy1gGAMAGOMYJGgIv32bMqCryo5M0cyHhmPO+Rr4DaPZNzXXo1HCtjfyBi35PH4XwP2972G2m/kch5xO38TM24Zt1sEt3EyWnC7PrCFDW4jDHUMVc533PDBzRJhALs2dDGSoY7GGLX/7/MK/b/Ju63r0P+M/mtLdshRuMgXJCplz5k3qYMaAMQCwSJBOQoXyZaRo6GeDoX+cLXIlpmjvAdenBCrkxhjAoNJyEDiCyGea4En4DUg2Hj8oSUoSAWVC3WMcAFslPeGnWO04Ba8/wgBzP/eaL+fq/uHqAO38zcvgltkrDal3lLq7ZWYUynHLbfLkpQc71oBwKRCsEhQFmuSsqp/4BsKYFHg7YS3+z6ratOECBWSfHMcbOILw/EROrhFGLyuD0xBvVORBbCQwS1k8Ar1agJ6z0YNbsPCWXA533sjhLjQwW1Y71qoOnA7n5CSMnOVeVu1HEXlSitcJKs9Pd5VAoBJjVWhIhSP5WalESYvZuYqq2oTS80CMeINbqP3agWHrNGC13VBJtJjyoQPXsOGM4Ya9hjcmxdmOKO/juF70/zHDDF8Mii4DQurN2JmzatKK1o8xv/aAIAbRY9FgssovldT5v8XT94G4si/qpiSGF4zDoYHN+MeVMsv7pf705EmZXuHgjoKF8W0ngCA0REsJgCLNYlv5QDctIKCW3Kqslc84xsKKk30oaAAMFkw4h0AkHAyiu9V3tdfli0jO2C7LTNHeV9/maGgAJCAmGMRoXjNsQCAyeyzPnkbABA/DIUCACQshoICwMTBUCgAAAAAUSNYAAAAAIgawQIAAABA1AgWAAAAAKJGsAAAAAAQNYIFAAAAgKgRLAAAAABEjWABAAAAIGoECwAAAABRI1gAAAAAiBrBAgAAAEDUCBYAAAAAokawAAAAABA1W7wrMFEYYyRJ3d3dca4JAAAAEFsZGRmyWCyj7kOwiFBPT48kqaCgIM41AQAAAGKrq6tLmZmZo+5jMVe/iseoPB6Pzp07F1FaGw/d3d0qKCjQ2bNnw/6jAsDNhPYPwGSWKG0gPRZjyGq1aubMmfGuhjIzM/lgBTAp0f4BmMwmQhvI5G0AAAAAUSNYAAAAAIgawWKCsNvt+uEPfyi73R7vqgBATNH+AZjMJlIbyORtAAAAAFGjxwIAAABA1AgWAAAAAKJGsAAAAAAQNYIFAAAAgKgRLMaBMUbLly9XdXV10Hs///nP5XQ6debMmZjUZefOnVq2bJkyMzNlsVh0+fLlmJwXwOSVSG3gsmXLZLFYAn4eeuihmJwbwM0vkdq7SO75Ojs7VVNTI6fTKafTqZqamjG9NyRYjAOLxaJf//rXqq+v144dO/zbm5ubtWnTJm3fvl2FhYVjes7BwcGQ210ul1asWKFnn312TM8HACNJpDZQkmpra3X+/Hn/z/V1AoBoJFJ7F8k939q1a9XY2Kg9e/Zoz549amxsVE1NzdhVzmDc7Nq1y0yZMsWcOnXKeDwe85WvfMXcf//95ujRo+a+++4z6enpJjs723zrW98yFy5c8Jf761//au666y7jdDrNtGnTzNe+9jVz8uRJ//vNzc1Gkvn9739vli5daux2u3n11VdHrcu7775rJJnOzs7xulwACJAIbeDSpUvNk08+Od6XCmCSS4T27qqR7vk+/PBDI8nU1dX5tx04cMBIMseOHRuT3wM9FuPokUce0T333KNvf/vbeuWVV3TkyBFt375dS5cu1R133KFDhw5pz549am9v15o1a/zlrly5og0bNui9997TO++8I6vVqgcffFAejyfg+Js2bdK6devU1NQUsgsOAOIpUdrA3bt3a8aMGVqwYIE2btyonp6ecbtmAJNTorR3ozlw4ICcTqfKy8v92yoqKuR0OrV///4bu/DhxiSeYETt7e0mKyvLWK1W88c//tE899xzpqqqKmCfs2fPGknm+PHjIY/R0dFhJJnDhw8bY66l15/+9KcR14MeCwDxEO82cOfOnWbv3r3m8OHD5ne/+50pKioyy5cvj/7CAGCYeLd3V410z/fCCy+YuXPnBu0/d+5cs3Xr1oiPPxp6LMZZdna2Hn30URUXF+vBBx9UQ0OD3n33XU2ZMsX/c+utt0qSPvroI//r2rVrNWfOHGVmZmr27NmSFDT5584774ztxQDAZxTvNrC2tlbLly9XSUmJHnroIb3xxhvat2+f3n///TG+UgCTXbzbu0hYLJagbcaYkNtvhG1MjoJR2Ww22WzeX7XH49GqVau0bdu2oP3y8vIkSatWrVJBQYF+9atfKT8/Xx6PRyUlJRoYGAjYPz09ffwrDwBRSqQ2sKysTMnJyTpx4oTKyspu4GoAYGSJ1N4Nl5ubq/b29qDtFy5cUE5OTtTHlwgWMVdWVqY//OEPKioq8v/Hu94nn3yipqYm7dixQ3fffbck6R//+EesqwkA4yLebeDRo0c1ODjo/1AHgPES7/ZuuMrKSnV1dengwYNavHixJKm+vl5dXV1asmTJmJyDoVAx9vjjj+vSpUt6+OGHdfDgQZ06dUpvv/22vvOd78jtdmvq1KmaPn26du7cqZMnT+pvf/ubNmzYcMPna2trU2Njo06ePClJOnz4sBobG3Xp0qWxuiQAiFgs28CPPvpIP/rRj3To0CG1tLTorbfe0je+8Q0tXLhQd9111xhfGQAESrR7vuLiYq1YsUK1tbWqq6tTXV2damtrtXLlSs2fP39MrplgEWP5+fn65z//KbfbrerqapWUlOjJJ5+U0+mU1WqV1WrV66+/roaGBpWUlOipp57Sj3/84xs+3y9/+UstXLhQtbW1kqQvf/nLWrhwof7yl7+M1SUBQMRi2QampKTonXfeUXV1tebPn69169apqqpK+/btU1JS0hhfGQAESsR7vt27d6u0tFRVVVWqqqrS7bffrtdeey3qa73KYowxY3Y0AAAAAJMSPRYAAAAAokawAAAAABA1ggUAAACAqBEsAAAAAESNYAEAAAAgagQLAAAAAFEjWAAAAACIGsECAAAAQNQIFgAAAACiRrAAAAAAEDWCBQAAAICoESwAAAAARO3/AcLL02eGEdH+AAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "hhi_by_year = {\"In-State\": {}, \"Out-of-State\": {}}\n", "for yr in YEARS:\n", " bdown, _ = compute_state_industry_breakdown(\n", " industry_state_df, allind_state_df, TARGET_CIP, ANCHOR_STATE_INSTITUTION_FIPS, year=yr\n", " )\n", " hhi_by_year[\"In-State\"][yr] = compute_hhi(bdown[\"instate_emp\"])\n", " hhi_by_year[\"Out-of-State\"][yr] = compute_hhi(bdown[\"outstate_emp\"])\n", "\n", "for series_label, values in hhi_by_year.items():\n", " print(f\"{series_label}:\")\n", " for yr in YEARS:\n", " print(f\" {YEAR_LABELS[yr]}: HHI = {values[yr]:,.0f}\")\n", "\n", "plot_hhi_trend(\n", " hhi_by_year,\n", " title=f\"Industry Concentration Over Time, {STATE_NAMES[ANCHOR_STATE]} {TARGET_LABEL} Grads\\nIn-State vs. Out-of-State ({DEGREE_LABEL} Degrees, All Cohorts)\",\n", " save_path=os.path.join(FIGURES_DIR, \"rq2b_hhi_trend_instate_outstate.png\"),\n", ")\n" ] }, { "cell_type": "markdown", "id": "844d2dd2", "metadata": {}, "source": [ "### RQ2c: In-state industry concentration -- Health Professions vs. comparison programs\n", "\n", "Among *only the grads who stayed in-state*, is Health Professions'\n", "industry mix more concentrated than the comparison programs' -- consistent\n", "with the licensure/portability story from the geography notebook, where a\n", "tightly-licensed field might also funnel stayers into a narrower set of\n", "industries?\n" ] }, { "cell_type": "code", "execution_count": 48, "id": "c1f4d107", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Health Professions In-state HHI = 7,942\n", "Education In-state HHI = 3,821\n", "Business, Mgmt & Marketing In-state HHI = 752\n", "Computer & Info Sciences In-state HHI = 1,075\n", "Saved to figures\\rq2c_instate_concentration_comparison.png\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "instate_hhi_by_group = {}\n", "group_breakdowns_state = {TARGET_CIP: co_breakdown_y1}\n", "for cip in COMPARISON_CIPS:\n", " bdown, _ = compute_state_industry_breakdown(\n", " industry_state_df, allind_state_df, cip, ANCHOR_STATE_INSTITUTION_FIPS, year=\"y1\"\n", " )\n", " group_breakdowns_state[cip] = bdown\n", "\n", "for key, bdown in group_breakdowns_state.items():\n", " instate_hhi_by_group[key] = compute_hhi(bdown[\"instate_emp\"])\n", " label = ALL_GROUPS.get(key, key)\n", " print(f\"{label:35s} In-state HHI = {instate_hhi_by_group[key]:,.0f}\")\n", "\n", "plot_hhi_bar(\n", " instate_hhi_by_group,\n", " title=f\"In-State Industry Concentration (Year 1), {STATE_NAMES[ANCHOR_STATE]}\\n{TARGET_LABEL} vs. Comparison Programs\",\n", " save_path=os.path.join(FIGURES_DIR, \"rq2c_instate_concentration_comparison.png\"),\n", ")\n" ] }, { "cell_type": "markdown", "id": "a2a268e1", "metadata": {}, "source": [ "---\n", "## RQ3: Cross-State Comparison\n", "\n", "### RQ3a: Selecting contrast states, and comparing their industry mix to Colorado's\n", "\n", "Rather than assume Colorado's pattern generalizes, this section pulls in\n", "the states with the highest and lowest CIP 51 in-state retention rates\n", "nationally (from the same state-ranking logic used in the geography\n", "notebook's RQ4), and compares their industry mix directly to Colorado's.\n", "\n", "This is shown as **two separate charts** -- Colorado vs. the\n", "highest-retention states, and Colorado vs. the lowest-retention states --\n", "rather than one five-way chart. With Health Care and Social Assistance\n", "sitting above 80% for every state, the remaining industries only have a\n", "thin sliver of chart space to share; splitting the comparison in two keeps\n", "each chart to three bars per row instead of five, which is easier to read\n", "at a glance (especially projected live). Both charts share the same\n", "x-axis scale and the same state-color mapping (defined once below and\n", "reused in RQ3b), so bar lengths are honestly comparable across the two\n", "charts and a given state's color means the same thing in every chart it\n", "appears in.\n" ] }, { "cell_type": "code", "execution_count": 50, "id": "f8973818", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Colorado rank: 14 of 26 states (Year-1 retention)\n", "\n", "Highest-retention states:\n", " state retention_rate\n", " Texas 0.950782\n", "Louisiana 0.923472\n", "\n", "Lowest-retention states:\n", " state retention_rate\n", " Idaho 0.703041\n", "South Dakota 0.697469\n", "Saved to figures\\rq3a_highest_retention_states.png\n" ] }, { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "state_retention = compute_state_retention(allind_state_df, TARGET_CIP, year=\"y1\")\n", "anchor_rank = (\n", " state_retention[state_retention[\"state_abbr\"] == ANCHOR_STATE].index[0] + 1\n", " if ANCHOR_STATE in state_retention[\"state_abbr\"].values else \"N/A\"\n", ")\n", "print(f\"{STATE_NAMES[ANCHOR_STATE]} rank: {anchor_rank} of {len(state_retention)} states (Year-1 retention)\")\n", "\n", "top_states = state_retention.head(N_CONTRAST_STATES)\n", "bottom_states = state_retention.tail(N_CONTRAST_STATES)\n", "print(\"\\nHighest-retention states:\")\n", "print(top_states[[\"state\", \"retention_rate\"]].to_string(index=False))\n", "print(\"\\nLowest-retention states:\")\n", "print(bottom_states[[\"state\", \"retention_rate\"]].to_string(index=False))\n", "\n", "# Map state abbreviations back to FIPS codes for lookup in the state-rollup rows.\n", "FIPS_BY_STATE = {v: k for k, v in FIPS_TO_STATE.items()}\n", "contrast_states = pd.concat([top_states, bottom_states])[\"state_abbr\"].tolist()\n", "\n", "contrast_breakdowns = {ANCHOR_STATE: co_breakdown_y1}\n", "for abbr in contrast_states:\n", " if abbr == ANCHOR_STATE:\n", " continue\n", " fips = FIPS_BY_STATE[abbr]\n", " bdown, _ = compute_state_industry_breakdown(industry_state_df, allind_state_df, TARGET_CIP, fips, year=\"y1\")\n", " contrast_breakdowns[abbr] = bdown\n", "\n", "# One shared color map, built once here and reused in every RQ3a/RQ3b chart\n", "# below -- the anchor state always gets the same red used for Health\n", "# Professions elsewhere in the notebook; each contrast state gets a\n", "# distinct color from the fallback palette, in the same order every time.\n", "STATE_COLORS = {ANCHOR_STATE: GROUP_COLORS[TARGET_CIP]}\n", "for i, abbr in enumerate(contrast_states):\n", " STATE_COLORS[abbr] = _FALLBACK_PALETTE[i % len(_FALLBACK_PALETTE)]\n", "\n", "highest_breakdowns = {ANCHOR_STATE: co_breakdown_y1,\n", " **{abbr: contrast_breakdowns[abbr] for abbr in top_states[\"state_abbr\"]}}\n", "lowest_breakdowns = {ANCHOR_STATE: co_breakdown_y1,\n", " **{abbr: contrast_breakdowns[abbr] for abbr in bottom_states[\"state_abbr\"]}}\n", "\n", "# Shared x-axis across both charts, so bar lengths are directly comparable\n", "# rather than each chart auto-scaling to its own tallest bar.\n", "shared_max = max(\n", " max(df[\"pct_of_total\"].max() for df in highest_breakdowns.values()),\n", " max(df[\"pct_of_total\"].max() for df in lowest_breakdowns.values()),\n", ")\n", "shared_xlim = (0, shared_max * 1.15)\n", "\n", "plot_industry_group_comparison(\n", " highest_breakdowns,\n", " title=f\"Industry Mix, Year 1: {ANCHOR_STATE} vs. Highest-Retention States\\n{TARGET_LABEL}, {DEGREE_LABEL} Degrees\",\n", " save_path=os.path.join(FIGURES_DIR, \"rq3a_highest_retention_states.png\"),\n", " color_map=STATE_COLORS, xlim=shared_xlim, show_values=True,\n", ")\n", "\n", "plot_industry_group_comparison(\n", " lowest_breakdowns,\n", " title=f\"Industry Mix, Year 1: {ANCHOR_STATE} vs. Lowest-Retention States\\n{TARGET_LABEL}, {DEGREE_LABEL} Degrees\",\n", " save_path=os.path.join(FIGURES_DIR, \"rq3a_lowest_retention_states.png\"),\n", " color_map=STATE_COLORS, xlim=shared_xlim, show_values=True,\n", ")\n" ] }, { "cell_type": "markdown", "id": "646174f2", "metadata": {}, "source": [ "### RQ3b: Does industry concentration track with retention across states?\n", "\n", "A scatter of every reporting state's Year-1 in-state retention rate\n", "against its CIP 51 industry concentration (HHI), to see whether states\n", "that retain more grads in-state also show a more concentrated industry\n", "mix -- or whether the two are unrelated. Followed by a per-industry\n", "z-test comparing Colorado to the most different contrast state, to\n", "identify exactly which industries drive that difference.\n", "\n", "**The five labeled points are Colorado plus the four contrast states from\n", "RQ3a above** (the two highest- and two lowest-retention states) -- not\n", "necessarily the single most extreme states on *this* chart's y-axis\n", "(concentration), since RQ3a's states were selected by retention rate, a\n", "different measure. Labeling is intentionally limited to these five,\n", "reusing the same `STATE_COLORS` mapping from RQ3a, rather than labeling\n", "all ~26 points -- the full state-by-state figures are already in the\n", "RQ3a table above.\n" ] }, { "cell_type": "code", "execution_count": 52, "id": "84c0c704", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Saved to figures\\rq3b_retention_concentration_scatter.png\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Largest industry-mix divergence from CO: LA (chi2 = 518.9)\n", "\n", "Per-industry two-proportion z-test, CO vs. LA (top 8 by |z|, positive z = higher share in CO):\n", " industry CO_pct LA_pct z p_value\n", " Health Care and Social Assistance 86.61 92.07 -17.11 0.00\n", " Management of Companies and Enterprises 0.91 0.10 11.00 0.00\n", " Public Administration 2.51 1.04 10.73 0.00\n", "Administrative and Support and Waste Management and Remediation Services 2.70 1.40 8.88 0.00\n", " Real Estate and Rental and Leasing 0.31 0.03 6.59 0.00\n", " Construction 0.41 0.14 5.00 0.00\n", " Manufacturing 0.54 0.23 4.78 0.00\n", " Arts, Entertainment, and Recreation 0.15 0.37 -4.27 0.00\n" ] } ], "source": [ "hhi_by_state = {}\n", "for _, row in state_retention.iterrows():\n", " abbr = row[\"state_abbr\"]\n", " fips = FIPS_BY_STATE.get(abbr)\n", " if fips is None:\n", " continue\n", " bdown, _ = compute_state_industry_breakdown(industry_state_df, allind_state_df, TARGET_CIP, fips, year=\"y1\")\n", " if bdown[\"emp\"].sum() > 0:\n", " hhi_by_state[abbr] = compute_hhi(bdown[\"emp\"])\n", "\n", "label_states = [ANCHOR_STATE] + contrast_states\n", "plot_retention_concentration_scatter(\n", " state_retention, hhi_by_state, ANCHOR_STATE,\n", " title=f\"Retention vs. Industry Concentration by State, {TARGET_LABEL}\\n({DEGREE_LABEL} Degrees, Year 1, All Cohorts)\",\n", " save_path=os.path.join(FIGURES_DIR, \"rq3b_retention_concentration_scatter.png\"),\n", " state_colors=STATE_COLORS, label_states=label_states,\n", ")\n", "\n", "# Identify the contrast state whose industry mix differs most from\n", "# Colorado's (by chi-squared statistic), then break that difference down\n", "# industry by industry with two-proportion z-tests.\n", "best_contrast_abbr, best_chi2 = None, -1\n", "for abbr, bdown in contrast_breakdowns.items():\n", " if abbr == ANCHOR_STATE:\n", " continue\n", " aligned = align_industry_counts({ANCHOR_STATE: co_breakdown_y1, abbr: bdown}, count_col=\"emp\")\n", " collapsed = collapse_sparse_industries(aligned, min_count=MIN_EXPECTED_CELL)\n", " if collapsed.shape[0] < 2:\n", " continue\n", " result = run_chi2_homogeneity(collapsed)\n", " if result[\"chi2\"] > best_chi2:\n", " best_chi2, best_contrast_abbr = result[\"chi2\"], abbr\n", "\n", "print(f\"Largest industry-mix divergence from {ANCHOR_STATE}: {best_contrast_abbr} \"\n", " f\"(chi2 = {best_chi2:.1f})\\n\")\n", "\n", "aligned_best = align_industry_counts(\n", " {ANCHOR_STATE: co_breakdown_y1, best_contrast_abbr: contrast_breakdowns[best_contrast_abbr]},\n", " count_col=\"emp\",\n", ")\n", "ztest_table = run_industry_ztests(aligned_best, ANCHOR_STATE, best_contrast_abbr)\n", "print(f\"Per-industry two-proportion z-test, {ANCHOR_STATE} vs. {best_contrast_abbr} \"\n", " f\"(top 8 by |z|, positive z = higher share in {ANCHOR_STATE}):\")\n", "print(ztest_table.head(8).to_string(index=False, float_format=lambda v: f\"{v:.2f}\"))\n" ] }, { "cell_type": "raw", "id": "77907c22-8bea-4a5b-9c9d-73b606c82c08", "metadata": {}, "source": [ "## Output\n", "\n", "All planned figures have been built and saved to the `figures/` directory:\n", "\n", "- **`rq1a_national_top_industries_y1.png`** -- RQ1a: national top industries for Health Professions, Year 1\n", "- **`rq1b_concentration_comparison.png`** -- RQ1b: industry concentration (HHI), Health Professions vs. comparison programs\n", "- **`rq1c_co_vs_restofus_industry_mix.png`** -- RQ1c: Colorado vs. Rest-of-U.S. industry mix comparison\n", "- **`rq2a_co_instate_outstate_industry.png`** -- RQ2a: Colorado in-state vs. out-of-state industry split\n", "- **`rq2b_hhi_trend_instate_outstate.png`** -- RQ2b: concentration trend, in-state vs. out-of-state, across horizons\n", "- **`rq2c_instate_concentration_comparison.png`** -- RQ2c: in-state concentration, Health Professions vs. comparison programs\n", "- **`rq3a_highest_retention_states.png`** -- RQ3a: Colorado vs. highest-retention states, industry mix\n", "- **`rq3a_lowest_retention_states.png`** -- RQ3a: Colorado vs. lowest-retention states, industry mix\n", "- **`rq3b_retention_concentration_scatter.png`** -- RQ3b: retention rate vs. industry concentration, all states, with Colorado and the RQ3a contrast states labeled\n", "\n", "Alongside the charts, the printed output above includes the chi-squared\n", "test of homogeneity and Cramer's V for Colorado vs. the rest of the\n", "country (RQ1c), and the per-industry z-test breakdown against the most\n", "divergent contrast state (RQ3b) -- both ready to discuss and interpret\n", "together before finalizing the webinar narrative.\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:base] *", "language": "python", "name": "conda-base-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.7" } }, "nbformat": 4, "nbformat_minor": 5 }