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Opening the published ECMWF IFS ensemble virtual Icechunk store (source.coop) — anonymous read, three schema eras, 500 hPa geopotential height
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "f780b062", | |
| "metadata": {}, | |
| "source": [ | |
| "# Opening the published ECMWF IFS Icechunk store (source.coop)\n", | |
| "\n", | |
| "The ECMWF IFS ensemble GIK store is published on **source.coop** as a virtual\n", | |
| "Icechunk repo. Its metadata (repo pointer + snapshots + manifests + transactions)\n", | |
| "lives on source.coop; the actual data chunks are **virtual references** into the\n", | |
| "public `s3://ecmwf-forecasts/` GRIB archive on AWS. A reader needs only:\n", | |
| "\n", | |
| "- **anonymous** GET/LIST on source.coop (the store metadata), and\n", | |
| "- **anonymous** GET on `ecmwf-forecasts` (the GRIB bytes the virtual chunks point at).\n", | |
| "\n", | |
| "| | value |\n", | |
| "|---|---|\n", | |
| "| Endpoint | `https://data.source.coop` |\n", | |
| "| Bucket | `e4drr-project` |\n", | |
| "| Prefix | `forecasts/ecmwf_ifs_ens_aws_s3_icechunk_vd` |\n", | |
| "| Groups | `0p4/00z`, `49r1/00z`, `50r1/00z` ← **one group per schema era** |\n", | |
| "| Virtual chunk source | `s3://ecmwf-forecasts/` (anonymous) |\n", | |
| "| Chunk codec | `gribberish` (Zarr v3) |\n", | |
| "\n", | |
| "## The store is multi-era (three groups, not one)\n", | |
| "\n", | |
| "Unlike [GEFS](https://gist.github.com/nishadhka/8f2c3191b51aa7e7670c8979081484bc) (a single `0p25/00z` group), the ECMWF store keeps each schema era in its\n", | |
| "own group because grid, level count, and variable set differ:\n", | |
| "\n", | |
| "| Group | Grid | pl levels | Data vars | Window (00z) |\n", | |
| "|---|---|---|---|---|\n", | |
| "| `0p4/00z` | 451 x 900 | 9 | 19 | 2023-01-18 .. 2024-02-28 |\n", | |
| "| `49r1/00z` | 721 x 1440 | 13 | 59 | 2024-02-29 .. 2026-05-12 |\n", | |
| "| `50r1/00z` | 721 x 1440 | 14 | 54 | 2026-05-12 .. present |\n", | |
| "\n", | |
| "All three share `number=51` (control + 50 perturbed) and `step=85`.\n", | |
| "\n", | |
| "Coverage is **complete**: for every era the store references 100% of the pl params and\n", | |
| "levels ECMWF publishes in `enfo` (0p4 has only 8 pl params -- no `w` -- because\n", | |
| "0p4-beta never published it), plus all sfc/sol params. Referenced bytes are 97-100% of\n", | |
| "published `enfo` bytes, date for date." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "788a99fb", | |
| "metadata": {}, | |
| "source": [ | |
| "## Dependencies\n", | |
| "\n", | |
| "```\n", | |
| "icechunk>=2.1 zarr>=3.2 xarray>=2025.1 gribberish>=1.4 s3fs numpy matplotlib\n", | |
| "```\n", | |
| "\n", | |
| "No credentials of any kind are required: this notebook reads the store metadata\n", | |
| "anonymously from source.coop and the GRIB bytes anonymously from AWS.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "f3788197", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:31:49.405313Z", | |
| "iopub.status.busy": "2026-07-16T10:31:49.405215Z", | |
| "iopub.status.idle": "2026-07-16T10:31:49.860233Z", | |
| "shell.execute_reply": "2026-07-16T10:31:49.859789Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "icechunk 2.1.1\n", | |
| "xarray 2026.7.0\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "import time\n", | |
| "\n", | |
| "import numpy as np\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "import icechunk\n", | |
| "import xarray as xr\n", | |
| "import gribberish.zarr # noqa: F401 -- registers the \"gribberish\" Zarr v3 codec\n", | |
| "\n", | |
| "print(\"icechunk\", icechunk.__version__)\n", | |
| "print(\"xarray \", xr.__version__)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "24eac82e", | |
| "metadata": {}, | |
| "source": [ | |
| "## Open the store\n", | |
| "\n", | |
| "Same anonymous path as GEFS -- `force_path_style=True`, `from_env=False`, manifest\n", | |
| "preload off, and `decode_timedelta=True` on `open_zarr`. All four are explained in\n", | |
| "**Gotchas** at the bottom. The repo is opened once; each era is then a separate\n", | |
| "`open_zarr` call against the same session." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "851a9333", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:31:49.861776Z", | |
| "iopub.status.busy": "2026-07-16T10:31:49.861614Z", | |
| "iopub.status.idle": "2026-07-16T10:31:55.053537Z", | |
| "shell.execute_reply": "2026-07-16T10:31:55.052572Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "repo opened in 5.2s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "ENDPOINT = \"https://data.source.coop\"\n", | |
| "BUCKET = \"e4drr-project\"\n", | |
| "PREFIX = \"forecasts/ecmwf_ifs_ens_aws_s3_icechunk_vd\"\n", | |
| "CONTAINER = \"s3://ecmwf-forecasts/\" # virtual chunks (public AWS, anon)\n", | |
| "ERAS = [\"0p4\", \"49r1\", \"50r1\"] # each has a 00z group holding the arrays\n", | |
| "\n", | |
| "t0 = time.time()\n", | |
| "\n", | |
| "storage = icechunk.s3_storage(\n", | |
| " bucket=BUCKET,\n", | |
| " prefix=PREFIX,\n", | |
| " endpoint_url=ENDPOINT,\n", | |
| " region=\"us-east-1\",\n", | |
| " anonymous=True, # public read of the store metadata\n", | |
| " from_env=False, # ignore any AWS_* env vars\n", | |
| " force_path_style=True, # source.coop needs path-style addressing\n", | |
| ")\n", | |
| "\n", | |
| "# authorize anonymous byte-range reads of the virtual chunks on AWS\n", | |
| "auth = icechunk.containers_credentials(\n", | |
| " {CONTAINER: icechunk.s3_anonymous_credentials()})\n", | |
| "\n", | |
| "# Disable eager manifest preload -- see \"source.coop sporadic 500s\" in Gotchas.\n", | |
| "cfg = icechunk.RepositoryConfig.default()\n", | |
| "cfg.manifest = icechunk.ManifestConfig(\n", | |
| " preload=icechunk.ManifestPreloadConfig(max_total_refs=0, max_arrays_to_scan=0))\n", | |
| "\n", | |
| "repo = icechunk.Repository.open(\n", | |
| " storage, config=cfg, authorize_virtual_chunk_access=auth)\n", | |
| "sess = repo.readonly_session(\"main\")\n", | |
| "\n", | |
| "print(f\"repo opened in {time.time() - t0:.1f}s\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "bb9d23ae", | |
| "metadata": {}, | |
| "source": [ | |
| "### `decode_timedelta=True` is what silences the FutureWarning\n", | |
| "\n", | |
| "`step` is stored with a timedelta-like `units` attribute but no `dtype` attribute.\n", | |
| "Historically xarray decoded that into `timedelta64[ns]` by guessing from `units`; that\n", | |
| "guess is being removed, so xarray warns unless you state your intent:\n", | |
| "\n", | |
| "```\n", | |
| "FutureWarning: In a future version, xarray will not decode the variable 'step'\n", | |
| "into a timedelta64 dtype based on the presence of a timedelta-like 'units'\n", | |
| "attribute by default...\n", | |
| " ds = xr.open_zarr(sess.store, group=\"50r1/00z\", ...\n", | |
| "```\n", | |
| "\n", | |
| "Passing `decode_timedelta=True` keeps today's behaviour (`step` stays a real\n", | |
| "`timedelta64[ns]`, so `ds.step` prints as `0 days`, `0 days 03:00:00`, ...) and is\n", | |
| "forward-compatible. Passing `False` would instead give you raw integer nanoseconds.\n", | |
| "`True` is what you want here." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "id": "83570d41", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:31:55.055072Z", | |
| "iopub.status.busy": "2026-07-16T10:31:55.054961Z", | |
| "iopub.status.idle": "2026-07-16T10:33:26.475261Z", | |
| "shell.execute_reply": "2026-07-16T10:33:26.474914Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "0p4 19 vars grid 451x900 time= 401 number=51 step=85 levels=9 | 2023-01-18 .. 2024-02-28\n", | |
| "49r1 59 vars grid 721x1440 time= 794 number=51 step=85 levels=13 | 2024-02-29 .. 2026-05-12\n", | |
| "50r1 54 vars grid 721x1440 time= 51 number=51 step=85 levels=14 | 2026-05-13 .. 2026-07-02\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "def open_era(era):\n", | |
| " \"\"\"Open one schema era. Arrays live under `{era}/00z`, never the root.\"\"\"\n", | |
| " return xr.open_zarr(\n", | |
| " sess.store,\n", | |
| " group=f\"{era}/00z\",\n", | |
| " consolidated=False,\n", | |
| " zarr_format=3,\n", | |
| " decode_timedelta=True, # `step` carries timedelta-like units -- say so\n", | |
| " )\n", | |
| "\n", | |
| "\n", | |
| "eras = {era: open_era(era) for era in ERAS}\n", | |
| "\n", | |
| "for era, d in eras.items():\n", | |
| " ny, nx = d.sizes[\"latitude\"], d.sizes[\"longitude\"]\n", | |
| " print(f\"{era:5s} {len(d.data_vars):2d} vars grid {ny}x{nx} \"\n", | |
| " f\"time={d.sizes['time']:4d} number={d.sizes['number']} \"\n", | |
| " f\"step={d.sizes['step']} levels={d.sizes.get('isobaricInhPa')} \"\n", | |
| " f\"| {np.datetime_as_string(d.time.values.min(), unit='D')} .. \"\n", | |
| " f\"{np.datetime_as_string(d.time.values.max(), unit='D')}\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "4bfd567e", | |
| "metadata": {}, | |
| "source": [ | |
| "## The current era: `50r1/00z`" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "27fe8a81", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:33:26.477177Z", | |
| "iopub.status.busy": "2026-07-16T10:33:26.477084Z", | |
| "iopub.status.idle": "2026-07-16T10:33:26.481407Z", | |
| "shell.execute_reply": "2026-07-16T10:33:26.480947Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "<xarray.Dataset> Size: 169TB\n", | |
| "Dimensions: (time: 51, number: 51, step: 85, latitude: 721,\n", | |
| " longitude: 1440, isobaricInhPa: 14)\n", | |
| "Coordinates:\n", | |
| " * time (time) datetime64[ns] 408B 2026-05-13 ... 2026-07-02\n", | |
| " * number (number) int16 102B 0 1 2 3 4 5 6 7 ... 44 45 46 47 48 49 50\n", | |
| " * step (step) timedelta64[ns] 680B 0 days 00:00:00 ... 15 days 00...\n", | |
| " * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n", | |
| " * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8\n", | |
| " * isobaricInhPa (isobaricInhPa) float64 112B 10.0 50.0 100.0 ... 925.0 1e+03\n", | |
| "Data variables: (12/54)\n", | |
| " 100v (time, number, step, latitude, longitude) float32 918GB ...\n", | |
| " 10fg (time, number, step, latitude, longitude) float32 918GB ...\n", | |
| " d (time, number, step, isobaricInhPa, latitude, longitude) float32 13TB ...\n", | |
| " asn (time, number, step, latitude, longitude) float32 918GB ...\n", | |
| " 2d (time, number, step, latitude, longitude) float32 918GB ...\n", | |
| " lsm (time, number, step, latitude, longitude) float32 918GB ...\n", | |
| " ... ...\n", | |
| " z_sfc (time, number, step, latitude, longitude) float32 918GB ...\n", | |
| " w (time, number, step, isobaricInhPa, latitude, longitude) float32 13TB ...\n", | |
| " vo (time, number, step, isobaricInhPa, latitude, longitude) float32 13TB ...\n", | |
| " z (time, number, step, isobaricInhPa, latitude, longitude) float32 13TB ...\n", | |
| " zos (time, number, step, latitude, longitude) float32 918GB ...\n", | |
| " vsw (time, number, step, latitude, longitude) float32 918GB ...\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "ds = eras[\"50r1\"]\n", | |
| "print(ds)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "96da0e5e", | |
| "metadata": {}, | |
| "source": [ | |
| "## Size: three numbers, don't conflate them\n", | |
| "\n", | |
| "| measure | size | meaning |\n", | |
| "|---|---|---|\n", | |
| "| store objects on source.coop | 15 GB | what is actually hosted |\n", | |
| "| **referenced GRIB** (packed) | **~620 TB** | bytes pulled if you read the whole store once |\n", | |
| "| enfo published, same 1246 dates | ~627 TB | what ECMWF put on S3 |\n", | |
| "| dense float32 (`ds.nbytes`) | 2.79 PB | 234 TB + 2.39 PB + 169 TB -- **misleading** |\n", | |
| "\n", | |
| "`ds.nbytes` assumes every cell exists, uncompressed. Use the referenced number for\n", | |
| "\"how much data is this\"." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "42514601", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:33:26.482969Z", | |
| "iopub.status.busy": "2026-07-16T10:33:26.482895Z", | |
| "iopub.status.idle": "2026-07-16T10:33:26.485912Z", | |
| "shell.execute_reply": "2026-07-16T10:33:26.485190Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "0p4 dense float32 (ds.nbytes): 234.3 TB (234,255,938,612,870 bytes)\n", | |
| "49r1 dense float32 (ds.nbytes): 2387.2 TB (2,387,172,614,021,326 bytes)\n", | |
| "50r1 dense float32 (ds.nbytes): 168.9 TB (168,940,917,752,990 bytes)\n", | |
| "all dense float32, materialized: 2.79 PB\n", | |
| "\n", | |
| "store objects on source.coop : ~15 GB (what is actually hosted)\n", | |
| "referenced GRIB (packed) : ~620 TB (97-100% of enfo published)\n", | |
| "enfo published, same dates : ~627 TB\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "total = 0\n", | |
| "for era, d in eras.items():\n", | |
| " total += d.nbytes\n", | |
| " print(f\"{era:5s} dense float32 (ds.nbytes): {d.nbytes / 1e12:8.1f} TB \"\n", | |
| " f\"({d.nbytes:,} bytes)\")\n", | |
| "print(f\"{'all':5s} dense float32, materialized: {total / 1e15:8.2f} PB\")\n", | |
| "print()\n", | |
| "print(\"store objects on source.coop : ~15 GB (what is actually hosted)\")\n", | |
| "print(\"referenced GRIB (packed) : ~620 TB (97-100% of enfo published)\")\n", | |
| "print(\"enfo published, same dates : ~627 TB\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "df1e95fb", | |
| "metadata": {}, | |
| "source": [ | |
| "## Read one field\n", | |
| "\n", | |
| "This resolves a virtual chunk: icechunk maps the index to a byte range in a GRIB file\n", | |
| "on `ecmwf-forecasts`, fetches just those bytes, and gribberish decodes the message." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "id": "76fc0abb", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:33:26.487218Z", | |
| "iopub.status.busy": "2026-07-16T10:33:26.487146Z", | |
| "iopub.status.idle": "2026-07-16T10:33:30.031545Z", | |
| "shell.execute_reply": "2026-07-16T10:33:30.031102Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "t2m @ 2026-07-02, member 0 (control), f000\n", | |
| " shape (721, 1440) decoded in 3.54s\n", | |
| " finite fraction 1.000\n", | |
| " min/mean/max = 199.2 / 281.5 / 313.1 K\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "ti = int(np.argmax(ds[\"time\"].values)) # newest run in 50r1\n", | |
| "newest = np.datetime_as_string(ds[\"time\"].values[ti], unit=\"D\")\n", | |
| "\n", | |
| "t1 = time.time()\n", | |
| "t2m = ds[\"t2m\"].isel(time=ti, number=0, step=0).compute() # control member, f000\n", | |
| "print(f\"t2m @ {newest}, member 0 (control), f000\")\n", | |
| "print(f\" shape {t2m.shape} decoded in {time.time() - t1:.2f}s\")\n", | |
| "print(f\" finite fraction {np.isfinite(t2m.values).mean():.3f}\")\n", | |
| "print(f\" min/mean/max = {float(t2m.min()):.4g} / {float(t2m.mean()):.4g} / \"\n", | |
| " f\"{float(t2m.max()):.4g} K\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "id": "be975dd1", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:33:30.033556Z", | |
| "iopub.status.busy": "2026-07-16T10:33:30.033444Z", | |
| "iopub.status.idle": "2026-07-16T10:33:30.036140Z", | |
| "shell.execute_reply": "2026-07-16T10:33:30.035569Z" | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def plot_field(field, title, cbar_label, cmap=\"viridis\", levels=21):\n", | |
| " \"\"\"Filled contour of a (latitude, longitude) DataArray on a plain lat/lon grid.\"\"\"\n", | |
| " fig, ax = plt.subplots(figsize=(12, 5.5))\n", | |
| " m = ax.contourf(field[\"longitude\"], field[\"latitude\"], field.values,\n", | |
| " levels=levels, cmap=cmap)\n", | |
| " ax.set_title(title)\n", | |
| " ax.set_xlabel(\"longitude (deg east)\")\n", | |
| " ax.set_ylabel(\"latitude (deg north)\")\n", | |
| " ax.set_aspect(\"equal\")\n", | |
| " fig.colorbar(m, ax=ax, label=cbar_label, shrink=0.85)\n", | |
| " plt.tight_layout()\n", | |
| " plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "id": "fc1cccea", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:33:30.037759Z", | |
| "iopub.status.busy": "2026-07-16T10:33:30.037667Z", | |
| "iopub.status.idle": "2026-07-16T10:33:30.306001Z", | |
| "shell.execute_reply": "2026-07-16T10:33:30.305643Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 1200x550 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "plot_field(t2m - 273.15,\n", | |
| " f\"ECMWF IFS 50r1 2 m temperature -- {newest} 00z, control, f000\",\n", | |
| " \"degC\", cmap=\"RdBu_r\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "c8d07c27", | |
| "metadata": {}, | |
| "source": [ | |
| "## The height layer\n", | |
| "\n", | |
| "Unlike GEFS (single-level only), the ECMWF store has a real vertical dimension:\n", | |
| "`isobaricInhPa`. In `50r1` that is 14 pressure levels from 10 to 1000 hPa, and the\n", | |
| "3-D variables (`gh`, `t`, `u`, `v`, `w`, `q`, `r`, `d`, `vo`) carry it as a\n", | |
| "dimension: `(time, number, step, isobaricInhPa, latitude, longitude)`.\n", | |
| "\n", | |
| "Below we select the **500 hPa** level and decode geopotential height there -- the\n", | |
| "classic mid-tropospheric chart. Selecting a level costs one chunk, not the whole\n", | |
| "column." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "id": "6da0207f", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:33:30.308306Z", | |
| "iopub.status.busy": "2026-07-16T10:33:30.308230Z", | |
| "iopub.status.idle": "2026-07-16T10:33:30.311351Z", | |
| "shell.execute_reply": "2026-07-16T10:33:30.310985Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "levels (hPa): [ 10. 50. 100. 150. 200. 250. 300. 400. 500. 600. 700. 850.\n", | |
| " 925. 1000.]\n", | |
| "\n", | |
| "3-D vars (have isobaricInhPa):\n", | |
| " d, gh, q, r, t, u, v, vo, w, z\n", | |
| "gh dims: ('time', 'number', 'step', 'isobaricInhPa', 'latitude', 'longitude')\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "print(\"levels (hPa):\", ds[\"isobaricInhPa\"].values)\n", | |
| "print()\n", | |
| "print(\"3-D vars (have isobaricInhPa):\")\n", | |
| "print(\" \", \", \".join(sorted(v for v in ds.data_vars\n", | |
| " if \"isobaricInhPa\" in ds[v].dims)))\n", | |
| "print(\"gh dims:\", ds[\"gh\"].dims)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "id": "1b4606f5", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:33:30.313000Z", | |
| "iopub.status.busy": "2026-07-16T10:33:30.312912Z", | |
| "iopub.status.idle": "2026-07-16T10:33:35.566464Z", | |
| "shell.execute_reply": "2026-07-16T10:33:35.565435Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "gh @ 500 hPa decoded in 5.25s -- shape (721, 1440)\n", | |
| " min/mean/max = 4579 / 5561 / 5998 m\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "t1 = time.time()\n", | |
| "gh500 = ds[\"gh\"].sel(isobaricInhPa=500).isel(time=ti, number=0, step=0).compute()\n", | |
| "print(f\"gh @ 500 hPa decoded in {time.time() - t1:.2f}s -- shape {gh500.shape}\")\n", | |
| "print(f\" min/mean/max = {float(gh500.min()):.0f} / {float(gh500.mean()):.0f} / \"\n", | |
| " f\"{float(gh500.max()):.0f} m\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "id": "ca5202a0", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:33:35.568876Z", | |
| "iopub.status.busy": "2026-07-16T10:33:35.568620Z", | |
| "iopub.status.idle": "2026-07-16T10:33:35.808880Z", | |
| "shell.execute_reply": "2026-07-16T10:33:35.808293Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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jxYoVeOCBB3DixAls3rwZEyZMAAD06dPHe4u9srIyfP311+jZsyeqVKmi6rM1btxY9x1mIm3vf//7HyZMmIAnnngC//73v1GjRg10794dQ4YMwciRIyOuwt+9e3f8/vvvaNy4MYDTd3y44447cOutt6J69eoYPnw4ACA/Px8Agt4lwbOivec1HgcOHMDjjz+O+PjTVds555yj8dNbt896Pl8whw4dwmOPPeb9zE2aNMGAAQOwePFiPP3005Vev3TpUsTGxiIvLw8ff/wxvvzyS4wdO9b72YDTd3jasWMHioqKoCgKGjZsiM8//xy33npryP149tln0a9fP1xxxRXex84//3y0atUKP//8s99rH374YbRv3x7//ve/vY9lZGTgscceQ79+/bBmzRr07NkT06dPR5cuXfCvf/3L+7rOnTvj1ltvxZNPPokdO3b43f1q5MiR3jt3JCQk4Nlnn0XDhg3xyiuv4PHHHwcAzdsMRu3+e4wYMcK7X8nJyRg9ejTuvvtuHDhwQPVdp0LR812Fo2ZftX5+X1rKiZZ90uLo0aOVbtXdo0cPlJeXB308PT1d1XZzc3MxYsQIJCUl4dFHH/V7Lj8/X/e5Hm67R48exZ9//olatWph586dSEtLQ2FhIS655BJcfvnl+Omnn9C4ceOQn9nT/undt9dffx0A/M4nz36Z8X7hjkUwWt5L735t3LgR1113HZo3b44PPvgAcXFxEffL16RJk9CmTRs88sgjfnfou/jii73/rbXeEnXODBs2DLVq1QJwuj1dtWoVNmzYgOeffx5nn32293VTpkzB//3f/+HJJ5/E4MGDNX1+tcxqX0W1xUTkbgxNKCpMmDAhbENetWpVAEBRUZGu7efk5KBXr15488030blzZ3z++eeYN29eyNfHx8ejV69e+Oqrr1BWVoZVq1ZBURT07t0bwOnQ5JlnnsHx48fx66+/oqCgAOeff76uz6ZVpO3VrFkTr7zyCl588UVs27YNW7ZswQcffIBRo0Zh7ty5+OKLL8J2Gi+88EK/f1etWhUvvvgili5diieffNIbQCQkJAA4HRoFKi0t9XuNR+PGjVXf7lILM/ZZz+cLpkmTJkhLS/N7rGHDhli6dGnQ17/yyiuIiYlBQkICsrOz8eWXX3pv5fj7779j2LBh2Lp1K1q3bo0aNWogNjYWR48exb59+0Luw6FDh7B//37ccMMNlZ7r2LEj3n33Xe+/jx49it9++w2XXnopli1b5r2drKIoOHr0KADghx9+QNOmTbFv3z5ceeWVlbbpuf31999/7zdQ6NSpk9/rsrKyUL9+fWzcuBEA8Pfff2veZiC1++8bGnTs2NFvG55bmO7Zs0d3aKL3u4ok0r7q+fweWsqJln3SauvWrbj00kv9Hvv2229RVFQU9PEuXbpE3OapU6cwaNAg7NixA//3f/+H5s2b+z2fkJCg61yPtF1PkP7II49464Hk5GRMmzYNXbt2xZw5c/Doo4+G/MxdunTRvW9FRUV499130bRpU2/b5WHG+0U6FsFoeS89+7V7925ceumlSE9Px5IlS1Tfxt7jyJEj+OOPP3D33Xf7BSa+9NRbos6Zzp07+/37+++/BwB07drV7/H4+Hh06tQJCxcuVL1trcxqX0W1xUTkbgxNiHC643nWWWfhl19+0b2NG264Af/6178wY8YMVK9eHZdffnnY15933nlYunQp1q9fjxUrVqBVq1aoUaMGAKBXr14AgFWrVmHbtm3e18skLi4OLVu2RMuWLTFixAg88MADmD59Oj7++OOgnbtwEhMT0bp1a6xatcr7mKdj9/fff1d6/aFDh/xe4+H5RcwKRvdZz+cLJtiv4ImJiSguLg76+k8++cQ7KyXQiBEjkJubi7179/rNuurYsaN3cByM572C/VIX+FhhYSEAYPv27Xj++ecrvX7gwIGoU6eON8D0/NLny/NYYMgZ6rWe/dOzzUBq999X4HeUmJio6r3C0ftdRRJpX/V8fg8t5UTLPml1xhlnYODAgX6PZWRkoKSkJOjjkRQXF+Pyyy/H119/jddffx3XXnttpdfUq1dP87muZrtZWVn4/fffK82qO/fccwEAO3fuBBD6M+vdNwD4+OOPcfz4ce8MSV+i30/NsQhGy3tp3a8TJ07g4osvRkFBAb766quQM0vDOXXqFAAgJSUl5Gv01FuizpnANjXSvpSWlqKioiLijFM9zGpfRbXFRORuDE2I/r+rrroKjz/+OFavXl3pVzOPwsLCkJ37oUOH4o477sDTTz+Nm2++GUlJSWHfzxOCrFy5EitWrPCbzZCeno7WrVtjxYoV+OWXX5CRkYE2bdro+2ACnTp1CgkJCUFnkpx//vmYPn06tm/frmvbf//9t9+MifT0dDRp0sT7y5avTZs2oWrVqmjZsqXf46F+qTOLkX3W8/nMVFRUhO+++w7jx4/3G4SXlJTg999/x1lnnRXyb2vXro2EhATs2rWr0nOBj9WpUwfVqlVDly5d8Oabb4bcZklJCRITE7Fjx45Kz3kea9Sokd/jO3fu9Pv1uaysDHv27EGHDh287612m6HKktr910pL2TXyXRll5PNrKSdaaTl+LVu2xOLFi4M+F+rxUEpLS3HllVfi888/x2uvvYZRo0YFfV2nTp3wxhtvID8/32+AvGnTJgCVf9FXu90uXbpg5cqVOH78uN+g/fjx4wD+GTyH+8xa983j9ddfR0JCAq6//vpKz4l8P7XHwuh7aXltaWkprrjiCvz222/45JNP0LZtW9X75KtOnTpITk7Gr7/+GvY1WutCNdScM4Gv8cxY2bFjh9/lOZ7HsrOzTQlMAKBp06ZITU0N2WZ6Zhaa+Voiil7m1GxEDjR27Fg0atQIN998M/76669Kz+/duzfs7JHq1avj3//+Ny6++GLcfPPNEd+vTZs2OOOMMzB//nz8/PPP6Nu3r9/zffr0wWeffYa1a9eib9++pnVEtPBMRT58+HCl5zxrsHh+4QxGUZSgf7ty5Ups2bIFl112md/jo0aNwsaNG/3WWDl8+DAWLFiAa6+9FtWqVdP5SdQzc59l+HweSUlJSEtLq3Rpx8svvxzx18nExERccskl+OCDD7yDNeB0yPbBBx/4vTYhIQHDhg3DRx99FHQQcOLECRQVFSEhIQGDBg3CggULcODAAe/zpaWlePnll5GVlVXpsok5c+b4/Xvu3LkoLCzE0KFDve+tdpueWV+B17Kr3X+tQr1fMEa+K6OMfH4t5UQrLcdPlPLyclx33XVYvHgxXnnlFYwePTrka0eNGoXy8nK88cYb3scURcHs2bPRpEkT7+xCrdu94YYbEB8fX+nSprfffhsAKl0iY3TfPP7880+sXLkSl19+uea1wMw6FkbfS8tr//Wvf2HFihV49tlnK82o8SgtLcXixYu9oUswVapUwXXXXYdPPvnEO6vUo6SkBPn5+brqQjX0nDMDBgxAcnIyXnzxRb/HN2/ejDVr1kScZbpr1y4sXrzYO4NDiypVqmD48OH49NNPsX//fu/j27dvx+rVq3HjjTea/loiil6caUJRYePGjUEvScjOzkbr1q0BnJ46/OWXX2Lo0KFo0aIFRo8ejXbt2kFRFKxbtw5z5szxWywzGN+FESOJiYlBnz598NFHHyE2NrZSx7RPnz6YOXMmAHkuzUlOTsb69evRtGlT3HjjjejUqRNOnjyJ5cuX45133sHQoUPDroeiKAq6dOmCCy64AO3atUNaWho2bNiAF198ER06dMATTzzh9/p7770XS5cuxaWXXor//Oc/qFatGmbMmIHatWtXem04J06cwJo1awAAv/32GwDg66+/xr59+5CQkIB+/frZss+iPp8od999N6ZOnYq6deuibdu2WLt2LXbv3o3u3bsjNzc37N/OmDED3bp1Q48ePXDnnXd6B3JXXXUVpk2b5veL5dNPP43t27ejY8eOuP3229GiRQvk5uZiy5YtWLx4MTZs2ICkpCTMnDkTGzduRLdu3XD//fcjJSUFb7zxBrZv345FixZVWhi5Zs2aGD16NC644AL8/PPPeOqpp3Dddddh0KBB3teo3aYnqHzooYcwaNAg7zpEqampqvdfi3DvJ/q7MsrI59dSTrTQevxEuOOOO/Dhhx/iiiuuQN26dSvNrLj44ou9YXfXrl1x//3346GHHkJeXh6aNWuG9957D1u2bMHnn3/uF4pr2e7ZZ5+NGTNm4L777kNBQQG6d++OjRs3YtasWbjlllvQv3//iJ9Dy755vPHGG1AUpdICsGqYdSyMvpfa1y5evBhvvvkmunXrhgYNGlTapwsuuABJSUnIzc3FpZdeiiuuuAIffvhhyH2cPn06tm7diq5du+Kee+7Bueeeiz///BPz5s3D/Pnzce6552quC9XQc87UqFEDr776Kq6//noMGjQIV155Jf766y/897//Rbt27TBp0qSw7/nJJ5/g3nvvxf/+9z9da7E9+uijWLVqFS688EI8+OCDKCsrw7Rp09C+fXs8+OCDlryWiKITQxNytaysLAwcOBBbtmwJevecCy64wBuaAKcXEt20aROWLVuGL774Ah9++CESExPRsGFDzJ8/329w7dl2pIVH27Vrh5KSkqDPDRs2DEVFRWjQoEGla5B79erl/QUrWMfX8/6h1g8IJ9jfqtlednY2Dh48iKVLl2Lt2rX46KOPUFFRgUaNGuGLL74IuVitR2xsLLZt24b58+fj22+/xV9//YVatWrhrbfewpAhQyoFW0lJSVixYgXmzJmD1atXo6ysDMOGDcMtt9xS6RrwHj16hOw4Hjp0CC+//LL33wMHDsRnn30GAEhLSwsbmpi5z1peG0yoz3zOOedU+vWzXbt2KCgoCDvAmDJlCpo3b45PP/0UCxcuRM+ePTFjxgxMmTLFu5ZFKI0aNcLmzZvx/PPP44svvkBWVhZeeuklLF++HAD8Zs147hy1aNEifPbZZ3j//fdRu3ZttG3bFk8++aT3evn69etjy5YtmDNnDtauXYvS0lL06dMH8+bN804T9zVu3Dh88MEH+OSTT1BRUYHZs2dj2LBhfq9Ru80WLVpg6dKlmD9/Pt544w1UVFSgefPmSE1NVb3/wb4H4PQ6AQMHDsQZZ5yh6v3OOussDBw40K+sqf2ugv1tMFr2Ve3nD/beWsqJqONnltjYWAwcOBBFRUV+9YvHRRdd5He+TZ8+Heeffz4++ugjbNmyBU2aNMFTTz1VKYzXut277roLnTp1wttvv4358+cjMzMTixYtwoABA1R/FrX75nHkyBEMGzas0gxJ0e+n9VgY/WxqXpuWluYtl8H2qWvXrkhKSvLOBIs0CyQ1NRVff/015s+fjy+//BLbtm1D06ZNsXDhQu/7qq23RJ0zobYDANdddx1at26Nt956CwsWLEC1atXwxBNPYMSIEd61UwCgd+/eldYC8fxQEelyplatWgUtvzVq1MD69evx6quvYtmyZYiJicH999+P0aNH+723ma8lougUoxhZMY6IiCiM++67Dy+88IJ3mrkZxo0bh//+97+GFkAle1lRToisNGPGDMycORO///679w590a5t27bo1asXnnnmGbt3hYhIE/sXSSAiIsdTFKXSZSEnTpzAvHnzMGDAAA6ECQDLCUWPkpISPP300wxM/r/i4mI0aNAg6N2WiIhkx5kmRERkWEVFBVq0aIGhQ4eiefPmOHDgAJ5//nkUFhZizZo1pt7RhTNNnMPOckJERESkB2eaEBGRYbGxsVixYgWqVauGRYsW4bvvvsNNN92ErVu3mj4QDnf9PcnFznJCREREpAdnmhARERERERERBcGZJkREREREREREQTA0ISIiIiIiIiIKIt7uHZBRRUUFDhw4gJSUFMTExNi9O0RERERERKSToijIz89HvXr1EBvLeQOkDUOTIA4cOIDs7Gy7d4OIiIiIiIgE2bt3L7KysuzeDXIYhiZBpKSkAACm7O2NpFQeIiIiIiIiIqcqyivDpOzV3nEekRZMBILwXJKTlBqPqgxNiIiIiIiIHI9LL5AeTATCaFByAtVK4uzeDSntTsiwexeIiIiIiEgyDUuO270LlZwsKbd7F8jBGJqQLjJWhnoxACIS43elvt27IEyTmP127wIREUU5N/W3KTp8/fXXmDVrFrZv344WLVrg0UcfxVlnneV9/uTJk3j00UexbNkyxMfHY/DgwXjwwQdRpUoVTa+xGkMTinpWNEgMZshqbgow7CDL8WN4Q0TkDAw4KNrNnz8fI0aMwOTJkzF58mT8+eefuP/++/HJJ594XzNs2DD88ssveOGFF1BUVISbbroJ+/fvx4svvqjpNVaLURRFse3dJZWXl4e0tDS8e7g9qqWKuTwnK78i7PP7UnjrKwqPwQuFIssAn8zHEIWIyHwMQNznZF45rs3chNzcXKSmptq9O65TWFiI7Oxs3H777Xj00Ue9j5eXlyMu7vR4esuWLWjbti3WrFmD7t27AwDef/99XHfdddi3bx/q1q2r6jV24EyTMOoVVKC6RYsFRQpVohGDJH96GnAGLdFBzUCawYrzMCAhIjIHQxFxnDKGKShwxn461WeffYbjx49jzJgxfo97AhMAWLVqFVJSUtCtWzfvYxdffDEqKirw1Vdf4eqrr1b1GjswNCFp2VkJuyWwYdBCHmoH4AxX7MGAhIhIvGgNR5wSZJA4RUVFKCkpEb5dRVEq3XEoMTERiYmJfo/99ttvyMjIwPbt23H99dcjNzcXrVq1wn/+8x80adIEALB3717UqlXLb3spKSmoVq0a9u3bp/o1dmBoQhSEGY2NU4IYLR0MBizuo2fwzqBFO4Yk5BGtgzoj2PZQKG45nxh6kBZFRUWoVbUq8k3YdvXq1VFQUOD32KRJkzB58mS/x0pKSlBYWIhx48bhySefRFpaGp566il07doVW7duRd26dVFRURF0MdeEhASUl5++u5Ga19iBoUkYmcfjkFLm/EP0d0aZ3btAMN4Ayhi6aO2csKPrTqECAIYplTEskYtbBljRxs7vje2YfGQ/jxmARFbruPnjrapmJAqSKCkpQT6ACUkxSBK43SIAjxUUYO/evX7rwATOMgGAzMxMlJSU4JlnnkGPHj0AAHPnzkWNGjXwv//9D7fddhtq1qyJo0eP+v1dWVkZcnNzUbNmTQBQ9Ro7OD8RoIisqIgiYXBjnNZG18khCzul7uAbEDBAYWCil+wDIoouossj2zvtZKgT3ByEyDBuIH2SACSJXI/z/98vJjU1NeLiuZ07dwYApKenex9LTExE1apVUVhYCADo2LEjDh8+jB07duDMM88EAHzzzTdQFAUdOnRQ/Ro78O45QXjunrPt+w5ISWHFISOGMGLJGLCowc6ms0RzcBLtgYkMgxwiN4m29s/qOsSpoQgDj9Dy88twbruNrrx7jmfs+mhSjNDQpEhRMLFIUX3MunXrhrPOOguzZ89GQkICXnrpJdx1113YtGkTWrVqhbKyMjRv3hytW7fG//3f/6GsrAwXX3wxSktL8c033wCAqtfYgWcWOZLoRiHaQxi1nQPZwhUudOssTWL2R2Vw4sbAhCEIkb30noNOaAOtql9kD0YYgJDTfPDBBxg2bBjOOOMM7yyTd955B61atQIAxMfHY8GCBbjuuutQo0YNlJWVoUOHDnj//fe921DzGjtwpkkQnrTu4OedkJqsvcI6VkvuSpjEi/bQxZdswYooTuhoOkU0BCdODUoYhhBRJHrbQzvqFxmDEYYhQI2/re8r5hWWoW6/9ZxpooHWmSYex44dQ3l5OTIzM0O+5q+//kJ8fHzYdUrUvMYqPGtNYHZFwFBGPnobQDeGLZE6KE4NVczo7EVrEBMYKLgpRJE9LGEooo2MAy5yJqe2fcHIUo/IcH46OQCxI7ig6FCjRo2Ir6lTp46Q11jFuWd6FItUyTFUcQ4jja1TAxe3hip6iOh4uiF4cerdd2QNSGQZ0JhBhkESkR4ylF1Z21cZjg3gzACEwQeRNZxXO1BEwSpQBinuY7RxlzV0YaiijZuva1cbSpgdrsgYjjgxGJFlYEQUraLlHHRi+OGLQQiRfJxdqxCRblo7FbKELGo6fQxWItMy6JY9YJEx1BBFxnAkWgZeRGQvp4cfoTAUIXIed9ZGRCSc2s6LDOGKU+8GJCutA3fZQxaZyBCKMAShUNw6aCVSK5oCjqSDJXbvgi5FdRPs3gWKAo5qDY8dO4YHH3wQS5cuxfHjx9GgQQPccsstuPfee/1eN3PmTMyaNQuHDh1Cy5YtMXPmTPTo0cOmvSbZmDWoZ+fyNDXHQYZgBeClQGbhraD/YWcowjBEO9bjRM4STaFGME4NOkRSewxKTpabvCfkZo7qHdx000347bff8OWXX6JRo0ZYtmwZrr76amRmZmL48OEAgNdffx0TJkzA/Pnz0bVrVzz55JPo378/tm3bhgYNGmh6v6S/SpFUrXKn00mJplvWMpFlkB1OpH1kZ/wfTglWOGPFOk64O5EMs0IAd4UhrBeJole0Bx6+GH4Qyc1RvZXvv/8e119/Pc455xwAwOWXX45zzjkHmzZt8oYmTz31FMaMGYNLLrkEAPDEE0/g7bffxksvvYRp06YJ2Q/fik3GAMUJQYkMA2IrcWCgXaRjJlMZ0jKIZcBiHVlCDi2cEoiwTiOKLgw4ImPwQeRejur1XHvttfjoo49w7bXXomHDhvj888+xa9cuDB06FMDpy3d+++03PP74496/iYmJQZ8+fbB27VpT9slTQcoQnsgSlsg0mLULBxTmc1Ko4kvroJghi3vIGoiwviI34eCeAAYYRCSWo3pKjz76KHbt2oVmzZoBABISEvDKK6+ge/fuAIC//voLAJCZmen3d7Vq1cKGDRtCbre4uBjFxcXef+fl5YneddPYFZTIOiC1EgcacnNqqBLI6ECboYs1ZAxEWEeRrBhsUDAMOohIVo7qUY0cORLbtm3Djz/+iDPPPBOff/45rrvuOlSvXt072yQYRVEQExMT8vlp06ZhypQpZuyyaawKS5wysDST2wceajuvssxkEiXc9+qmcm/FYN7NwYyMYQjg/nqJnIUhCAEMPUSI2Vdo9y4Ip2Ql270LRIY5ptd15MgRvPPOO/jwww/RsmVLAMDgwYNxxRVX4JlnnsHQoUNRp04dAMDhw4f9/vbw4cOoXbt2yG2PHz8e9913n/ffeXl5yM7ONuFTGGfmwNVNA0UjZB+M2NU5NfK+TgtcoiVQEcWOYMFoUCNrGOIhez1E0YsBSXRgAKKdGwMPEdQcFwYrJDvH9Mri4uIAoNKMEUVRvM/VqFEDTZs2xcqVKzFkyBDv86tWrcKIESNCbjsxMRGJiYkm7bkYZgw6OfiTZ2Di9k6oms/nlGAlVJnh+WQt2UMPNWSpf4gicXsb5WbRHH4wxHCOYN8VgxTtsqorqCawuj5ZoQBF4rbnZI7psWVkZKBPnz6YMmUKzj77bDRu3Biff/45PvzwQzz55JPe140dOxZ33303+vfvj65du+K///0vTpw4gVtuucW0fTNzEViRA0kO6qwfpLCjqV6wY+WUIAUIXrZ4zhHAcIScje2YnKIpDGH4EZ18v3cGKGQ3R/Xk3n//fYwfPx79+/fH0aNH0bBhQzz22GO48847va8ZM2YM8vLycOutt+LQoUNo2bIlli1bhoYNG9q459qJGizaMWjznTZv56/BVgxU2Jk0l9uCFIYo7seAhNyEbZw40RRyqMUwhNTylBWGJ2SXGEVRFLt3QjZ5eXlIS0vD8bltkVotLuxrRc8yETEgjMaBmdkDFXYc5eSkACWYaDxX3cIN4Yid9ZrTz91owbZPHQYilTEQIbPoDU7yTpYjY+Rm5ObmIjU1VfBe2cszdp1TE6gWG/rmJ1qdrFAw6ghcecy0cn6vz0YiAxOGJeqZNVhh59B5fL8zJw7CeEmP/Jwcjshcp3n2zYnnbTQ5VqtC6nJkNoYh4TEYITvE7CvkjBOynHN7gzYTFZgY7TC6fYAVTQGJkzpnZq7jo1eNv2NdMQBTU+bdft5bzcnBiC8Z6zVyPk+96rTy5aQ21QmiPSAp3pVr9y4IlZiTZvcuEDmKO3qKFhMxYGRYUpkZAxe7O3lu7bRF+lx2hSpOn3miFoMVfdwSjviyu46j6CHrrBO3trN2c3NI4rYARI9wx4CBClFl7utBmszoYJBhibvCEXbWggt1XKwMU6J9+n+488wN9Ug4bgxHfMk4cKXoYNesE9naWr1tmWyfIxQnByYMRIwLPIYMUYgYmmhiZ2DixEGOWy6tcUonxwkCj6UVIUq0hyfBuClQcXtA4sttYQnPSQpHtrZXRHsVbBuyfU6nYDhiHd9jzQCFolX09DYNMtJYun12iZmDFqsGCey02MOOEIXCk3lx2mgKSHy5LSwhCkXGttjsdkm2IEXGWSYMSORRvCvX9uCEi8CSHaKzB6oRA5PT3BCOAHJ2yug0M0MUzjjRL/Dct6peYkhCVFmw88/Kc8WM8ilru2xXkO/7vrIeG7MwIJGf5zuyOzwhslJ09kg1iLbAxIqOVzTOHpHxlxsjrEr5fb9DUZ1XhifG+dYTIusphiTRxS13vLJKqHPNyYGJTO20rKIhQGFQQmpxlgnZJTp7qCoV1akCvcM0ER1BT0fIqYMSt88ecVsQooWazy66YRM9C4XhiRi1jscbqqOiNSjxiNbAxIPBiXp2nyvRFpjIeLmomwIUBiXOZ/WlOgxMyE7R3Vs1iegOoN0dpUjcvDBrNAcjRoU6dqIaPVGzUALLLwdw1pG9bjNbtAcmHgww5RZNl+OIpLU8az3OnnbPaceSYQkROVF091hJEzs6+FZ1BhiOWCfwWIsIUYKVE71BSrByzsFceHpnm9i9ZpOdoQ0Dk8p8jwnPOfuYXTadMshPOliiqx3RW3YD/07t9+CU8IRhCekl6se2ojpVhGyHohNDE8Hc0tGzq0NvRaMvc0AiQ6fC6oW9gn0fZgQpImejBHLLeW+EWeucmClwP6N95otMOAPMPHYGdrIP7GXiW+bVfGdFdROkPL4y9GuCKdhdoPtvqzesLnBPnMuK/qKI/qC3/1fojL4JyYk9RIGc2KmLhs6T3SGJrB2GULTurxmNphmX9oicjRLIzPPIifWK0XVO7OLZZ7PDE84y0Y4zwNSRuWzJOKCPRO9sE9E8ZT3S9yvbrBO7+z9GghG1243WAMXswETY7BIJzl9yB4YmUSQaAhLAvpDE7s6BXSJ9bpENq+hZKeHKpSwNbajzlgNG81gVnpAxeto0J543MgchkcgyeDdCluAEOF1+zZx1IrL/ZHWfyKyARM37RlNw4rjZJVGmfloskuNihG2vsFwBjjiv3TQDe4QCyNYJs7uDZVcnyeqwJFpDEq1CHSdRDa9ZC87KHqjI/Mu7E2eZBPN3RhmDE5exu310KzeEI+FoCU7MviOU2uBEKycGJnYFJdGIYQlFO/YGDbJzkCJD58/ujhKDEucKdyxFNM5mrZUCRC73djXaMiyk6ZbAxIPBCZE/u9t9u3g+t5r63ew7QpkVnIhgRT+JYYk1nHQ7YYYlZDb2BHWyckAiU8MoS2eJYYk6ajsWsk0tDXa8zQpSfFkVqniY2chbHaC4LSzxJfJyHZnqc4pusrTnaolu9/XW93rCE0B8PSwyOBF1bM3uK8kYlsjWfzLK6psBAMb6XgxLyCoMTTSyYvAhW6dato6VlYGJ3WGJVR0EJ6wib/ZlPoB5l/qEEurcEt0JMHu6uJmByb4U9fVhVr4clycR2UW29loPq9p43/fRU8drXetE1jtCOSEwkTEsAZwfmNgRkPji7BJyEoYmKpnZuMkWkgDydrzcGpjI2iFQI9K+m92pMPsyHyB8uTMjUDHjTj9mBSeyBCbhXi8qTHHbpTpWhXYkjqxtsxF23+Eu2D6ordd9vw+t542IdamMzjZhYKKPk8ISu4ORYBiWkBO5p/dnguM1K1CWYk5YwqBEOzcFJjJ2AswS7rPaEaiI7kDYccmP3g6D2TNORNIamKjZlojwxInBida6XVRbwI6tdrK3w0bJEJCooWcWipbLdkKx8m5pDEz0kTkwkTEgCcTAhJzKWT0/h2NQQjJ2AOwU6niY2SmxIkjxZXQKeDBGOucigxOzZpmIDEyCbddoeGIkOLFyAUe763cz31+2jrPdx1o2TglH1NBahweWBRFlVeulPZHKo5u+HyvJEJg4IRgJhYEJORlDEwvIFpawcxeeWb+aMDBRL9ixsjpIAcydlSIiQBHxy2Y08g1l3LoOitvrebd/PplF84DbyAwUQFxdrbdfKfq7s3vdNytZHZg4ORyR0bFaFch3aXtP1mBoYiKZwhI3dDCVrGTHdtYYmBgnw6wUMxedNRKi6FmQUNbLdMyaZRLp/bSGJyLvqCOaG+p7Es+p7aesjAYogPjAO9S5b8Z3Hy2BiRVhCQMSc8na3yFnka+353CyBCXsNFO0CAxTnHppj6dTa+Q2mE6fcWJ1YBL43lbNOjHzEh3W/dGLoYh99M4iVHO+hqvX7boMh4GJMdEYkoiaXau1n8PAhERhaCKA3UFJNHWSnTzbREa5h4sN/X1aZqKgPRHHyhAF8O88iugIGQlPnByc2BmYBO6DFeGJlWubkHOxvavMjAG72beuNzqT0Oj7ixItYYkZojEo8RB5l0E3zawlZ2FoooMMHd1oCkoCeSpfszoGiTlpruwYGA1ItG5TlkDFN0RxUoBidOZJJDJ1JGQITHxpmXXilEVhnYIhAdnR/kZ6T1H1eSCj9TvPF/OI6C9YEZSY1UfQwqzyHQqDE7IDQ5MwMo7EIvWUPB3aaA5KgjFz1omnoXNDeGJGWKL3fe0OUjwBihXXKHvKjojOttbp3lbNNql1PN7wHXRkC0w8rLxcJxpxsEeAc9pYsy7NdMp5YNf3VL1hdVvWhDPaRxAVlsgQiKhhx37qCU7iC+Xsb7jJpEmTUF5e7vfYwIED0bVrV++/FUXB559/jh9++AFxcXFo3749+vTp4/c3J0+exKeffort27ejXr16GDRoEDIyMqz4CCGx9Egs6WCJ3/+oMrMralENnx23qcs9XGxbYBKKZ5/s3q+C3QWWdcSKd+Ua7nA6pWPtNmoDHSPBUTT9+hWzr9D7P4pOnvpQRL1ot8DP4vTPE4pbP5dZ9PQblazkoP9zIt96Ptj/ROLYSD6PPfYY9u7di6SkJO//4uLivM+XlZWhX79+GD16NA4fPow9e/bgiiuuwLXXXut9zerVq9G8eXO89957yMvLw7x583DmmWdi/fr1dnwkrxhFURRb90BCeXl5SEtLw8HPOyE12brJODz5jTG7I26042DlryV2hxJa2T0DxcpQy0gQp7YTpfbXF1EDdiOhgawzTXypmXFi9C46oi7Tka0dYUAS3Tjg/ocT17SQ6fuzqg+ltz+g5ft1aiASidb6XvRxiNT3ySssQ91+65Gbm4vU1FSh7203z9j18zNjkRwXI2y7heUK+u2oUH3M4uPjsXjxYvTv3z/o82vXrkX37t3x/fffo23btgCApUuXYuDAgdixYwcaN26MX3/9FWeccQYyMzO9fzd48GD8/fffWLt2rZgPpgMvz7GYbB1aN5F9rROrppk6LTABTu+zncFJwe4Cy4KT4l25pneenbQgbFZ+hbDgZHdC5ambDUuOG96uky7VKaqbYHs7w6Akesk0yJaN1mMTqp0QdYzDtUMyfo+eNtqOy3UiUdOmuzUoAfTX+YF/Z/QYmX1Lb1Jn8eLF2LhxI3JycjBw4ECkp6d7n0tLO32uVFT806cqLy9HlSpVkJx8+vtv1qxZpW127NgRL774ork7HgFDkzCS/ipFUrV/vlQZOqMUmZnhiVOCE9LOCcGJ1vVNrGJ0bRM9wUmwgETt60QEKSK5ZTFYhiXRScYBthuYfVyd+r2ZGZ7o6QNEastlbLNFMKO+13vr7lACx2wlJ8tDvJIiycvL8/t3YmIiEhMr/9hZtWpVHD16FMnJyXjmmWdw3333YcGCBd41TZo3b47nn38eN954I3r16oWysjKsXbsW8+bNQ+3atYO+d1lZGebPn4/u3buL/2AaMDTRgIGJs5gVnjA4cS8nBCey8lyeojc8ETnjJBLfIMXOAMWssMTqgJ9hidxEDI7dtDg6uYMMM0+iMTCxqr4XPQslWmTWjEdKvLjLc/LLFGBHCbKzs/0enzRpEiZPnlzp9Zs2bcLZZ58N4PSCr1deeSWuv/56bN++3fvYrl27kJeXh4SEBMTExOD48ePYtWtXyH24++67sWfPHvzvf/8T9rn0YGhCrmdGeGK0A8nghPSSdbaJh5HwxHMJjJrwxDfsUDvrxCxa1jNxy6wSj2gPTMwMEdSGqlYEGQxLSFaiwhPRP5jI3E5rJUM9zxDFXnv37vVb0yTYLBMA3sAEAGJiYjBmzBgMGDAABw4cQL169fDRRx/hmWeewfbt25GTkwMAGDFiBDp16oSePXtWmk0yYcIEzJs3D59//jkaN25swidTj6EJRQ3ZwhMZfiWRhd0LwdrFbbNNfBm5ZMd3/RCtAYrVZA1MzJ5tIkMn2gp2hgUMKojUk6lP5ZYBvcz1PEMUa6WmpupaPNezdsmpU6cAAFu3bkXdunW9gQlwer2SKlWq4Mcff/QLTSZOnIjnnnsOy5YtQ5cuXQx+AuMYmlDU8a1YRTUIRi/ZiWbRGph4uD048bAqQBEt3AKwagMTzi6RH+vv6KBmQG3l3dRIPK3hCb9vf06t3xmi2O+XX35B/fr1veFKRUUFXnnlFTRq1Mg7S6RZs2Y4cOAA/vjjD5x11lkATt9Rp7S01G8B2EmTJuGZZ57Bp59+im7duln/YYJgaEJRTclKtj04EX2pTlpmoiPuoBPtYUm0ER2geIgMUtTeISdawxLAuR1qD4Yj0UttOxv4Og6qncmK7y3Ujx6yX0bry+l1eigMUax36NAhDBkyBO3atUNmZiZWrlyJo0eP4r333kNMzOl1Vq666iq89dZb6Nq1K6666iqUlpbivffew7Bhw9C3b18AwDvvvINHHnkE/fr1w6effopPP/3U+x5Tp0615bMBDE2IhF62I0twIjNZwxJ2jK0TGDoYvfOOFbRchgMwMJEJgxICoqudJes4LThxaj1uVMy+QsQU8e45ZurTpw/WrVuHZcuW4eDBg3jkkUdw4YUXolq1at7XxMXFYdmyZVi1ahW2bt2KuLg43HjjjX6X3zRq1AiPPvqoHR8hrBhFURS7d0I2eXl5SEtLw4knzkZqUpyUlR6ZR0SDoreTLqpDJ+NME4YloWm9PEdNnVRUN0HVto7VsiZ00MpIkCKC1pDEQ5awRPR6Jk7qaDMkITV4+QaJIuNddJxUZ1slr6gc6eO2Izc3V9f6HDLzjF03d04Qfvectt+VuPKYaeXImSZLly7FihUrUK1aNYwYMQJNmjTxe37Pnj146623cOjQIbRs2RI33HBDyFV+1ZA1LSZziLhkx+4ZJ7JcoiNbUOKWzq+aOinpYImq4MQzyJctPFEbWugJV/QGIqHIEpR4RGNgwqCEtHJLe0D2i7Q2mW8dasZ4wgl1NJHTOSo0KSsrw5VXXokNGzbg5ptvRrVq1XDNNdfgrbfeQosWLQAA27ZtQ/fu3dGnTx906dIFzz77LObOnYtVq1ahSpUqut+bwYk9Agd9nsGA53Gz7g5hxp121HJ6cCJTUOKUTrEMi8EGG/jLFqQEIzoACUe2cMQKMnfGZQhKzLjcwyn1FhH9w1MfRWrLZa5TtRJVB9vd/yFSw1GhycyZM/Hll1/i559/RnZ2NgDg9ttvR2HhPxXQQw89hHbt2uHjjz9GTEwMRo4ciZycHMybNw833nijXbtOggSGKMF+SRcZpBiZdWLkjjpOu/ZalqCEgw2xAkMCJ4QoIjg5HDHzNsOysCsssapOjvQ+rOeI5KU2PHESs+vcYNt30/Ejd3BUaPLyyy9jxIgR3sAEAJKSkpCUlAQAKCkpwWeffYYXXnjBu0pv3bp10bdvXyxatIihSZTwDVJEDCDsCk5EMGO2iQwBCQcNYi/RUStcmOCkQMXJoUgoDEvEkjm05t1diOTnW185LQCQYRafk48fuZNjQpPc3Fzs3LkTXbp0wZtvvolNmzahXr16uOaaa5CTkwPg9FompaWlaNSokd/f5uTk4Ouvvw657eLiYhQX/zOwzMvLM+UzkPVEBSh2BCcyXaZjV1DCwYBzuDGI0EtPXWMk3DIrMJFlGrnZHXiZAxI1Qu0/608iOQTWYTKFADIEJJG4cfYOOY9jQpP8/HwAwKOPPoo2bdqgR48e+O6773DOOefgs88+Q+/evXHq1CkAQEpKit/fpqSkeJ8LZtq0aZgyZYp5O09SMLoOiogFYrUSGZx4hAtQ7JxFwg6+dmpnmwDGBuVUmeigItz2RM+eC0eWoARgWGKU5/PJUrfaPfOSSBZWzaJw2/nG8ITs5JjQxHObo8aNG2P+/PnexwsLC/Hwww9j9erV3tccP37c72+PHTsW9jZJ48ePx3333ef9d15ent8lQGZRM4iJhinXVjMSnugNTmRa30SGy2sAeTryTqd2kWrRl+q4jcx1rVODElk77G4PSwIV7C6wpb4NNrAJfEzWMkJkFS3ngO/5E83nDsMTsoOjQpMGDRqgVatWfo+3bNkS//d//wcAyM7ORmpqKrZt24YBAwZ4X/Pzzz97764TTGJiYsRbEou4c46eAUtR3QSpO/NmM3Ogp/fY2jHjxE3sDEu0NLBu7JAElnc3hSjRXE/qEW1BCRB9YYkvK4MTLfVsNA0C9ZY//sBAHm4/R7SS4c6DFD0cE5oAwPDhw7FkyRJMnToVCQkJKCsrw+eff44OHToAAGJjY3H11VfjjTfewC233ILk5GRs2LAB69atw8SJE23ZZxGDkmgPTtxCptkmVpOh06e1YQ32ejM7LEYaf723RI9Ur9gZqrDOEy8agxJAnrAk8NJIWWb9iWRkAOPUWShml69g25ehTSUiiiYxiqIodu+EWoWFhbjkkkuwb98+dOzYEZs2bUJ8fDyWLVvmvZzmyJEjOP/881FYWIhWrVrhyy+/xPDhw/HCCy+ofp+8vDykpaXhxBNnIzUpTtdgRORgg4MH8wZvRo6tngGIkU6gLB1/LWTp2Fn1S4SITr7RfRUxK47UiVQH2PFdWDULzgkDWjPqTNF3IwvHjFDFzDrZrHpW1rImU5ssS1tLZAe1dU9eUTnSx21Hbm5u2GUbnMgzdt3cOQEp8THCtptfpqDtdyWuPGZaOWqmSXJyMlasWIE1a9Zg9+7duOWWW9CtWzfEx//zMWrWrImNGzdi5cqVOHToEB5++GG0adPG0v104pR3ER1tMwcIblnMMlpmm2jtwKlp8PQeNyunboZ7L6s6/p5zmeFJZGYHDE6/jE/WwWo4outIK0OScO/txlkpask0A0XWNth3vxigEBGJ56jQBABiYmLQs2dP9OzZM+RrqlSpgn79+gl5P7sHHiJnmdgxQBB9/NywmKWbgxM9nTW1oYbndU4cyAHq91/UNbq+56Pd9ZhZnB5KyMip5xcgZkBrZ0gSjme/ZA1P7AinrSqrMre5wQTuL0MUouiRVjMRKVXEzTSJLVUA8IoHwIGhiexEDehFhSV2DyoC31/E4E3UrBM7L3ty260XreyUaT12si0Upmb/Re+zGeeh2eyuu6KBW+ogo4NaWYOSYHIPF0sXnNhVv5odnjgtLAmFIQoRkXEMTcJQ6tkzsDA6mJd5sCFy8OZ7nLQEKCLCEjuPsd2zTWTocEVLcOL7epFkWotD5vrK6dwSigQjqg50UmDiIWNw4jZuCUyC8Xw2GdpyIiKnYGgiGb0DeqcOPESFKMGOmydIkXUhXdlnm1jVodIbaGi9VaWZIYQeWr5/q0Mfp9Ynesl8HtpNzeDRysFXNIclvmQJTmSoS0Vyc1gSiOEJEZF6DE0komdw77bBjVkzUUgdp3We9A52Q/2d1QMArcGJ52+oMgYfxukdMGr9O631jMiBrNPDEl92Bycy1EWizvtoCksCcRFZcjIZ6iGKDgxNBLNqoVKjYYkT7kQCyLcWgywhlehLdOzsKOktU2YMkoNt0+wyr+dSI8/fRQOGIeLIMjBUs8aCm+6C40ZuqH9kOR9kwgCFiCg4hiYm0BOcqJ0VoXfQLmrgEW47VnSizLxDjyyBiNXs6hhpKS92DpwD39toOTfrXHTiIIaBiDG+0+udPAA0c9/dHpbYPdvEiZx8rliJl+8QEf2DoYlJZLhVsNUDEjXvZ8bALlrDDieQaRaJKFr2zcp1a+wMUWT+voxywgDLCftoNSvCkkOHy3T9Xe1MZ3e9nBjQkn7RHp6Eq1+j9ZgQRSNnt9xRQEsg4ISBi90zVdxEpl+XRX13TijDWsg0QybayHJuyExEsCDbLAezwxK9QUmobVgZoIgY4MnUTkd7HWe1aAxPIrUj0XhMiKIVQ5MwYg4UAmel2vPeKsMSN3UaGKg4i+jvxE1lmczBICQ0uy5D8X1fOwMUsz6/iJBEzfbNDk/cNqjT216wDjHO7UGBnjKiZp0mMofVdxek6MXQJIKYfYWWLD5q1YwSpy4eGukzO7HCNBoSuKnzx8CEPNxUriNx23obdgQoZh5DswOTwPfSG5xYta6JLO2s2wMTrWXarrCyYHeBq8IBkeXDbcdGdgxOyAoMTVTwBBp2LjgqYydBzbatajTcGKrITkQjxbAkejllAOPhtoDDbJ7jZdaAzgmX4eh5T6evd0LaGS3LgX9vZYjilrvtmNEeuX1GjmwYnJDZ2DproOX2tyIWJ9UzoJRtIBJpf6I1VHHLLBMjjZRZgYkZx4adHv1kKau+GIBYR3R44sawJPD9ZQxOOBgxzqp6J9j7WBGkOC0kkLFtImMYnJCZ5GuZHUT0XVu0DiLdUOHLMlsl1LE3o/J12+wKrY2UqM9vZfk3+l5O6URqJVsd5MYwxO5BPCBmvQ0R4YlbLsWJxIzgxC2XC8g46zYY2eoiKy+dk72sWV0W7DoedvTLZOD5LAxPSDSGJjZxwywSq9h5u7dg35PdMytElwMRDbrvZwt2fGT97FZx6iJxsh5v2QYkvmQafIsi8m4vetbfiJawxAg1x1VvXe/0wYdV9ZjM9ZIvKy7nkTE4sbM9s+p46D1Xff/OLQFKpH4pkVYMTSxg5y8jVjfiVi9IFuoYmdk4aamIRTc+ZjX6Iht0p3xmO8l8HbiMx9vuwYhbBtYiiLjbi9pZJwxL3MFzKbPo2blqmF2f2V03iWDWLBRZLteRsU0zg6hgwLMdt4QnwD+fpbi4wuY9ISdjaBJG8Z95KE6M9XtM5l/RZWi8Q+2D3WGKWY22mxoVWTo4gH2/DNpxFwIZ1v2RrVNpZV3GwbM+ZoQnVn3vTvjOZV3bRIvAdd8C/212iGJWvSZDX8ssZizgbGffQqa2zazZJmbNonBjeEJkhLNbZBswINEn3P5auUCZLxnCAS2savzd1sHRcq5oea1VAYuZZVeWDqXbF/cMZt8J8b94ZaXHRn6RYCIG905rz6KJngGZ2jsNmjkDRXTdFm1l1MzwxJfofoYsbZpVrLjsJDEnjcEJERiaWMZIRe72xtquQMVJ60zY0RGwKjxxaudW7fuYdb14JOG+Nxk6lm659MKM8EMvtfsiOlxxw6wIGWk9rnrWixFNbWAS+DcigxOR9Zvb+1+RmH3rcK3flW+7JkM7ppXI2SZcp4OCSc5ORvVEcW18RXEFgHxh23My9nIEc8oMEj2DCjs6xVZe7iPrOhN2dwzMOC5OXK9HL7suAbK73ARj1ndmZkgiUygiSuBnEhGiOCk4qZ0ZL+XsIyuYdYmAnrAk8O/tWPMkFKe0L1YxOzxRS8Z2TSsR56DawCTceemWNYZk6q+Tuzmjh2OTwr2FiK0SY+p7iG6YzewIqtm2VZ3mYMfNrGmkdlbIsnUQ9Cy8y1/9/MnS+bSSGd+byLrOjcGIFp7PbzQ8cVJw4lZ2zDYxGpj4bifcQE7NJQJO+eHKiGB1n9V9r2hqv2SjJjBRc05auUCzmX1ZLdsuLFVM2w9yP/ZuLCSyMZb1V7JI+2Vmw+62FeBlC0zCMXNfndCJ1cPudX6sIGMoHO0BSTj7TlTYsi4KhcYgSj2nXwZtpH6zuu/F8MQYmWZ8mR2eOKkvSxQOW2KTRENAoodVv5CYEaA4dY0PJ7K6A2vkHHNK+bWSTGEJQxJtRM06kZ2TLtERHZyIHLCJmmXiuz2rLxuwIzCxuuz5vp/IssTwRB6B52JR3YSQr006WBL070Wfe+zPkpswNDFA9innTmFWY+4hegBq1grw0d64OHG9i3DbF1WWnRSgyBKWWB2U7Mk39zLOBinWTymOhlknTgpOtBB5iU7xrlzXLjjppHBeJDP6XAxPtNMTXqo9F8MFJp7ngwUnIkV7n5bch6FJGLlHilERb25nWJZGVBZWBSiiG3a71/rQKlJn0YqOj9tDRzNmVckcoNg9u87MoMTsUMTI+9sRqLiJU4IT0XfSETXbJGZfofDZJlaQedF9K4nuczE80UbUeajnHAwWnIiYbWJ3WBLu3M4vY3tJ+jE0sZDVjadZgwirfn00M0CxqmG3u/EA9HUORa634fZwRAuRZVqmAEXUd6z1ezWjjrM7INEqcH9FhijRMNsE+OdclL1ekfkyHbNFWgRWS1vLwCQ4t7ZPstNyHqqd+ZV0sCTibJNgM02CBSZqFmD24Pp25GYMTUxiVWNpx/X64d7TrA6253g6NTyxg1kNTLROaRbNLR1UEeXBzrDEaSFJJJ7PY8cMFKcvWOqUWSdqibpMJ9JAze7ZJrIFJm4oQ25pn6JFsHMwWHBi5iU5vFMiuZ2zezgSsLJxdMKChoH7KDpEMTM8cUtj7obGxg2dTi3M6KA6pTxr+a5F1IFuC0lC2ZMfIyQ4iZbZJh6yzzpx+2U6Zi0Ca3a7KGt5EUFkv8tp7ZNVzJr1pSUkMTLLJBpu9U3E0EQlt1xaYzWz7sRgRnji5ODEDQ2OmzudWogq21Z0To2WO7XfOcMSfUQFJ9FI5lkndlymo+ayALNmnIQbuKkZrDl1kXHZMDwxl9rgJNS5aOT80xuYOP0230RaMDQJ4/CRMpyMs6aj7ZaQJBQzw5Novn2ekxudaOtwaiU6PPGQoWxbObskGsMSX1YFJ06/NCcYmWedaGn71PwgIENwonWWiV2BiYzlwUqiwxMZ2iRZeMq03nPRcw6pOQfDnW9mBiZ29VsPHS5DYTl/RCD93NfLcQi3hyShmBGeiA5OAGc05E4MTNy21o8Vly2InlVldzBo1eySaA9LfHHGiTGyhiduCk5CDeBCDd7sCExk+/7t5qRZkU5j9Fw0cpmbWYGJlX1Wnqv2+e2336Ao/v2N2rVrIyMjo9JrS0pKcPDgQWRlZSEuLi7kNv/66y+cOHECjRs3RkJC+AWOzcTQxCLRGpKEIvo6+WgLTpwSmJjVcMlyPgXbj6z0WFPWgTBjVpWR8q2nDFoRmDAsCc5IcBJt65qEImN44vRLdfT82s3ARC6iyqDMfS47qD0XAai6o46a7ajZJz24plD0aN68OerWrYvk5H/q/3//+98YOXKk99/l5eWYOHEinn/+eWRkZKCsrAxTp07FqFGjKm1v7969aNOmDY4dO4atW7eiRYsWlnyOYBiamECWAZ3snNARl/EXENkDEzMaLyedU559DRWoGCHLrBMZAxOGJZHZNeMkLTNR+npLCxnDEzXUDkpFBidA8EsFzFrwFWBgYgcGJ+bQcrmOh9oARcuthH33RSteIhd9XnvtNfTv3z/k8/fddx8++OADrFmzBq1atUJBQQFeeOGFSq8rLy/Hddddh6uvvhovvfSSmbusCkMTAZw0oJONyODEjNkmHrKEJzINPMxstNx6Tom6PM3OWScMTJzNyuDEt0y5LTgB5FksVvRlOoC44ATQF5DomWUisnzJ8L06DYMT86gNTwDtYYia99WDYUn0OnnyJP78809kZWUhPt6/Tti7dy9eeOEFzJkzB61atQIAVK9eHQ899FCl7UyePBm1atXCjTfeKEVoIvfP/JLad6LC739kjJOOYe7hYu//7Hhfux06XOb9n2jRdE6J+Iyiv4dIZUxvGWRgIh89xywazks9ZFkAV0tdoPY8VjNgKt6VK3SQFm57Rm9rqoZZ7Vu0EHXsZOjvyKhgd4El54GR9zGrv8rz0jmuvfZadO/eHcnJybjxxhtx4sQJ73NffPEFKioqcNlllyE3Nxf79++vtAYKAKxcuRJvvfUWXn31VQv3PDyGJipF04DODk48rlYFGVZ3HnyDkcD/iRbN55Woz2x2eGKknJsZmOzJj2FgIrloGfjIEpxoITI4AYz/uh0pfIk0w0TE7c85KBNDZHASLXWIVp5QQ2SAYnSbZoYlPDftl5eX5/e/4uLg3/XUqVNx4sQJ7N+/H1u2bMGqVatw8803e5/fv38/atasiSlTpiAnJwft27dHZmYm5syZ433NkSNHMGLECLz++us444wzTP9sajmvpbfQ/twKVIuVs1Nu5mDByXdZMPMSnVDMmkpqVWfBjsYoGkOSYERfngaIX+9EL6vukkNy46DHOlrbP5GX6gDa11UQcZcOEeWLAzLxRPbFnHy5TmD5NONzBJ4jkc5V0TNVzKzjeW5ql9goFYlJoe9Eo3l7ReUA/kJ2drbf45MmTcLkyZMrvX7cuHHe/z7nnHMwZcoUXH/99XjjjTeQnJyM2NhYHD58GMeOHcOhQ4dQpUoVzJ49G2PGjEHLli3RoUMH3H777ejatSuys7Px66+/Yvfu3QCAXbt24YwzzkDdunWFfT4tGJo4hJW/qPq+l5MDFCuJbtTNaoR8GyA7rsfnANl8dgSHwfZBDV6SYx/Ra5vIUO7s5MT1TbRQG5x4BAtQRC88yUBObqKDEw+nBiiANZ/Dist3AIYl0Wbv3r1ITU31/jsxUV35bdCgARRFwd69e9GsWTNv+DJ27FhUqVIFADBmzBiMHz8eK1asQIcOHVBSUoJffvkFgwcPBgAUFRUBAO6++25cffXVmDZtmsBPpp5jezi5ubnYunUr6tevj5ycnErP7927F4cOHcLZZ5/t9yU7hSyDAs9+WBGeiPrV3Ymddys6f4GNkFWNkhVBiZrzRdYA0KzbEwP2XDbAwMS9IpVVJ9a90U5L4K9lMUpfZtylgzNMnMGMOkGWhfmNcmoQ5MTbB3v6Gycr5OwHOkFqamrE8XRpaak3CPH46quvkJiYiAYNGgAA+vbti9jYWBw7dsz7mqKiIpw8eRJpaacD9v/9739+29i4cSM6duyIhQsX8pbDWimKgmHDhuHTTz/FnXfeiVmzZnmfKyoq8j7XsGFD7N69G//9739x55132rfDKsk8GLDrVpVuZeUvZHZ1DEWHJUbPj2B/7/YybfUglpfkOIsZ9TqDE/uZdZmOh97wRO12I7Hq0kGSm1vCE0D+AMWpl4uzr2Gtt956C+vWrcMVV1yBzMxMLF++HI8//jjGjx+PatWqAQCys7Nxyy234Pbbb8f06dORmpqK6dOnIy0tDVdccYXNnyA8R/ZsZs6cifLy8qBp05QpU7B+/Xrs2LEDdevWxYIFC3D55ZejU6dO6Ny5sw17G5nMYYkvBif6RcM0YrMaJzPPD1lmqIi6FXEwVg1irQhMnFJXupmamVFaylyocsPgxRizgxNAXHjCsMTdzG6DZA0c9JZXWT6Pk3/cY1hij9GjR6N69ep48cUXcfDgQeTk5ODDDz/EwIED/V73zDPPYNasWZg8eTLKy8vRtm1brFu3DjVr1gy63apVq6Jp06aqLwkyS4wS7D4/Etu0aRMuu+wybNy4Ef3790efPn38ZprUqVMHt956KyZNmuR9rGXLlujevTtefvllVe+Rl5eHtLQ0zKkJUxeCdeoAwKxBpOgBo5Wd7sCGTYaQxA2X38h0jlgVGJoRnADmng9WzTCRqTy4hd5yraWc+pY9rfWSk8ITGQflWo+fkUGalvBE67oLDEycz84+mdXM6gOa9bns7LOKPDcj9TFOVigYdeT0Eg9OXLohHM/Y9cQTZyNV4EKweUXlSB+33ZXHTCvn9EYA5Ofn45prrsELL7yAOnXqVHr+wIEDOHToENq3b+/3eKdOnbB58+aQ2y0uLva7dVJeXp64nQ6BnX/zWTlNXIaQxMPszqEsa5RYzaqZVmascQKYdz5wMBKdtJRTI2XEzvV5opGRSx7MWoCSgYk72N0nsztIEUHP55Kpf+rBmSXkRI7qhdx66604//zzcdlllwV93rOoTOA9nc844wy/BWcCTZs2DVOmTBG3oxHIOCDUgpfpyMvpgYnTzw1RnBKcaClv7NSQm8k6MNd7zsuwXgQXe3UfO9c8sjJISctMtCyskDEU8eX0fimRhznzwE2wcOFCLF68GEOGDMGaNWuwZs0aFBYW4sCBA1izZg0AeFfs9dyayOPUqVNISEgIue3x48cjNzfX+7+9e/ea9jk4KLQWO0ziMDCxdh/NOt4izolDh8sYmLiA0fDbyu9V1rpc67lgB9n3LxgGJmQFMwKH3MPF0gcZZvLUiWbXjftOVLBvQZZyzEyTsrIytGjRAo888oj3sYMHD+LkyZM4cOAAVq9ejezsbMTGxmL//v1+f7t//37vrY6CSUxMtGRxGScMCt0oWu7m4OQOopPODTfMtDJyTji5nJF4Zs2KCka2utxJ54ITZpyIGmg66XuJRrJdcqdnEeRw24pWblhHjygcOWosFYYMGYIhQ4b4PdamTRu/hWCrVauGbt26YeHChRg+fDgAoLCwEMuXL8fkyZMt3mOSiWydbaeJlsVeZWPmgFTEHU7UYAdHTiKDPyuDE7s5eUBupB00844enFUSnWTqlxkNB6MxLLH6nGNfguwmR20l0NSpU3HhhRdi/Pjx6Nq1K5577jnUqlUL//rXv+zeNbKZbL9uiOLk60UZmNgr0jlhtGyxkyMnM2ZKWRWc2DXQ4qD8HyICFM4qIUC+fpnass2QxDrsR5As5KildGrbti0aN27s91jv3r2xcuVKvPDCC1i/fj1atmyJefPmoXp19bfCI3u4vdPtRAxM7GfFeWFGZ8iMstMgRWG5McjMS8vcWIfbdW7IMMNMjcDBY6iBpuhBJsMSd5EtPAGiMxjxZfc5xrCEZCNP7aTDnDlzgj7evXt3dO/e3eK9iR5OX88BkLOB1sruBs0IDny1cdrlD+zsRC83BCdm1a1azgvPa826ixZgTvtnxUDTyW0fhccftexl97nFvgPJjDWThTxhg5MHjGYGJnYMCt0QnpjFrMbLyeXfTmYOoig6WBV4WxmcAMbrbysGCnrrU7PDEye1fXYP6Mga7JdZS4bzimEJOQFrJBs4dYq5G2aYhOKkRtrJa5iQcbKHJyw/ZDWt9beVgwTZzwenBCcyDOzIWr7fuRPKqBPIdB7JXjcSBWItZBOnBSdWBCYyXIIge3giU4Onh5PKvOxkOF8CWdEJclrdKQurQ287yme4QZYddafI80GWO2lZzeltHokhe99MZrKdQwxLyKlY+9jICZfrRENHOxjZOpFWNXpc+DUymWZcyTTrhB0heclUZq1i50DBrHPB7OAEsH9QKtsAj+QSWD7sLq8iqC3zWj6rbOcR+wfWUeolQ6kWJ257J8uFbcvpnF/buEBgeKK1gyt6MGp3B1um4MTDrobZDWEJmc/uc8bq8sPZJurZWZ/LFOpZwYrzwOxz3Y7wRLYBHjlHsLJjx521rJjZ5qTzhH1KciOGJhLR27lV+3fBBhl2BySh2D0IDGRlgGJ1w2hV4+aGga6s5wtgzzljZ8fIDeUpWshWn4vmxgFCqHZIVPvnpAEgOUu4sqWn/Kopq9Fent1YBxIFYmgSRWQe8AUja0fbjAAl2htcJ3DC+WPlOSNDJ4nBSWhOKK9OZ9c5YGfbqPWXfbZtzlE7M97135fbP59VZGj/iazG0ISkJmtw4uHkBtiORs8J6/gE46QBqNnnjGydJQYn/5C5nMpel2shwzkg0/F0cjtI/+D3SGrIUP8R2YGhCUlPps6hk8nU0DklPJF5EBqOGWtJyFR+AkV7cOKUcupbhpxYp8t2DrBtJCKryFb/EVmNoQk5AjuHxsja2PkOdkMNfO0IWJwyCI1EVHgia/nx5ZQgTjSnltXAMiVz/e6E8k9EJBrrPqJ/MDQhcjEnNHi+g75wd5KyYjaBUwegkRgZoDqhDPmKllknbiursoUoTin3/EGBiERwSp1HZBeGJuQY7Bxq4+QGMNSA0PdxUQNjtw0+1VB7mYSTy5BbRUt5DVX2zG4DnFjmo+3WzkQyMrvuMHJ+O7FeCybYD2pEVmFoQo7BDqF6bmkgw9ESoLCBVc8NZcets01Yjs2ZkeKGMg/whwUiK9h516xosic/xpQfyoj0YmhC0mMnUL1oa1Q9OJjUzzPQclvZcVtwwjIenJpy69uGuK2cB2JwQqRe4Cwtt9cPThA4mySwHWdbSHZhaELSYYdPHzb2pBfLjvwCf3Uj9aKtfPNyHYpGRs7zaKsjZBQYjoS7MQCRHRiakOXYkRODjTxReLLNNgnX4ZNpP8kdGJ6Q04Xr53B2iHuoaf8YmJDdGJqQMOyYWYMdBCJnUdPZC3wNQxQShZfskJOo7eOwL+R8wS694eU4JCuGJqQJO172YOeAyJn0dvjC3X6bSCurZ51obbPYt4ge7M9QMIFtHNs8kg1DEwqLHZl/mNnQR9NChUTRQkSnjx1HEknt3YeC3ZY81K3K2WaRGiwnFChY+8Y2j2TF0IQqiZagRKYGXKZ9ISLj2PEjJwgVhIR6TbjHiHyxjBCRmzA0Ia9oCUsANuZEZB6RgYnv9d0MYshMbBfJKJYhInIrhiYEgIEJEbkPF1MlcgYuVutM7E8RyaWoThUkJIsb3hcVlgnbltMxNBEgXEPvhAaFHRUiIvntyY/hbBMisp0T+rZGiQ7dWXcTORtDEx20hAy8jzwRkfXcOsuEt2MkIru4uS9rdpvBSy2JnE1XaLJ//358/fXX2LdvHwAgOzsbPXv2RL169YTunGyMzMhgeCKPrPRYfg9EJD01nXh2xInICm7rN9kZrId6b9bhRPLSFJosWLAATz/9NL7++mtUrVoVNWvWBAAcPnwYRUVF6N27N+69915cdtllpuysnURdwsIBOxGRudw6yyQSz+U7ns/PDjgRGeWmPqvsbQPrbiJ5qU4CzjvvPIwdOxb9+/fHDz/8gIKCAuzZswd79uxBYWEhtmzZggsvvBBjx47F+eefb+Y+WyorPVb4mh9cQ4SISLw9+TFSdIpF7IPebcjw+cmZ7OqbmNHPIjHcEpjI0jao5bT9JYoGqmeajBgxAiNHjkRcXFyl52JjY9G6dWu0bt0a48aNw9y5c4XupBvxch0iInHYwSTSj6EFuZHT2wUu/k2kj6Io+Omnn7Bnzx5UVFSgfv36aNWqFeLj9S/nqvovR40apep1cXFxql8ru/pp0dGJiMZb/fEyKSJ3kLVTzM4uOYWd7X+09T2cxOl9JFnbBiIyz++//45nn30W7777Lo4ePer3XEpKCq644grcddddaNu2reZts7UiIiJHkr1TrGf/RE7Llv34UHRjYCIvpwcmRBR9xo0bh/bt2+Pvv//Gc889hz/++AMFBQU4efIk/vzzT7zxxhuIjY1F3759ccMNN6C0tFTT9nXNUfnrr78wfvx4fPPNNzh27Fil548cOaJns1FHpkaJs02IyEmcEgionXFi1ufhjBcKx851TEhObukX+S6KTUTuFx8fjz/++AO1atWq9FzDhg3RsGFDDB06FLNmzcKMGTNQXFyMKlWqqN++np0aM2YMDh48iHvvvRcZGRl6NhH1ZGyUGJyo/xtAzu+QKBo4rSMcuL+BIYbZn4d3ZKBgoq29p+jj9OCEdTaRelOnTlX1upSUFEyePFnz9nWFJqtXr8Yvv/yCrKwsPX9OEovW4MTI3zE8IbKOkzvAHr6fwcpOMWedUDhWtWXR1sdwEjf2Z5wenJA49dNigSPuK+NkDV2hSWZmJqpWrSp6X0gSnkaTHRt1eJkPkTXc2PF142ciCoX9Cnm5uR/D4IQo+mzYsAGrV6/G0aNHoSj+PxhNnjwZSUlJmranKzQZPnw4HnvsMUyfPh2xsWwAtXJKwxSNs06ISE7s8BrHWSbkEdi2W9EvYX+CSB3W1eJlpceisJzH1WwdOnRAWVmZ32MPPPAAhg0bVum1ZWVluOqqq7Bz50589NFHOPPMM/2e37RpE5599lls374dLVq0wKRJk1Rf5fLcc8/hnnvuQevWrVGjRo1Kz5eXl2v4VKepDk169Ojh/e/S0lKsX78e7733HnJychAT49+ZXbNmjeYdITn5dqTY4QmNl+oQmYeBiXHshFMoZrZb7Dc4A/su9mMdbR7WQ9bZsmULnn32WXTr1s37WP369YO+duLEifjzzz/xww8/4NSpU37PLVy4EFdeeSXGjh2LW265BX/++SduvvlmLFmyRNV+PPfcc3j//fcxdOhQ/R8mgOrQ5IILLvD794ABA4TtRLRx6uUcDFAis+PXOyI3Y2BCZB4GJhQtZL1Eh2GJuVgPWa9x48Zo06ZN2NcsX74cH3zwAV577TWcd955fs+dOnUKo0ePxt13343HHnsMANC1a1dcccUVqvehqKgIXbp00bzv4agOTXxXmZ09ezbGjBkT9HWzZ882vFMkv8COFiul4JwakBHJQMYOrhOxU06BzG6X2CcgGXnqQhnaFtbL5mM9ZI+JEydi8uTJyMnJwahRo9CvXz+/5//++2+MGjUK77//PhISEir9/eeff44jR47glltu8Xs82GtDGThwIObPn4/77rtP34cIQteaJjfddFPI0CTcc0bt3bsXzz77LNauXYv4+Hj06NEDDzzwANLT0/1et2TJEjz77LM4dOgQWrZsiSlTpqBx48am7BOdFqoDxgrLfZfuuO3zEBGROGz3nSfafuCxKzxhUEJOlZeX5/fvxMREJCYmVnpd+/btcdddd6FBgwb48ssvcemll+Lpp5/G7bffDgBQFAXXX389brzxRnTr1g0bN26stI1ffvkFaWlpOHDgAO666y7k5uaiVatWeOihh9CgQQNV+/v444+jefPmWLJkCZo2bVppDdannnpK801tdIUmoezfvx8ZGRkiN+lVXl6O8847D7fccgueeuopnDx5EuPHj8eyZcvw7bffetOnpUuXYvDgwZg2bRq6du2KmTNnomfPnvjpp59M2zcKjZf0/MNpnZJo/76I3ICddLIC2wvnc1ofRQTf+tGsAIV1MFnpeM0KlKWIO4/z809vKzs72+/xSZMm+V2F4rFmzRpUqVIFANCzZ08oioJx48bhlltuQVxcHKZPn47jx49j4sSJId+zuLgYRUVFuP322/HII48gLS0NTz/9NDp16oStW7ciMzMz4n4/9thjOHz4MM466ywcOHCg0vMVFdqPkabQpEOHDkH/2/Pmu3btQv/+/TXvhBpxcXHYtm2b94sAgKysLJxzzjn47rvv0LNnTwCnLyO67rrrMHbsWABAx44dUadOHbz88ssYP368KfumVbQ1Sh4MUNwjWsswkZOws05WYHtObiA6QGH9ay/WS2Lt3bsXqamp3n8Hm2UCwG+cDgB9+/bFI488gl27duGss87C22+/jWPHjnlzBM8CsEOHDsVVV12FRx55BGeccQaKi4vxzDPPoE+fPgCATp06oWbNmvjoo48qXbYTzPvvv4///e9/uOSSS/R83KA0hSaeFWg3bdpUaTXaKlWqoFGjRhg0aJCwnQsU+EUETrUpKCjAxo0bce+993ofS0hIwAUXXICVK1dKE5rQP4PuaKvUnPBLTrR9JyQvWRfuI6LT2F6QG6m5fIehCEWT1NRUv9BErf379wMAUlJSAJwOM3zvlLNt2zYMGzYMjz32GDp27AgA3v+vVauW93XVqlVD9erVK10mFEpycjJat26teX/D0RSajBs3DgBQs2ZN09Yt0eLhhx9Gw4YN0alTJwDAvn37oCgK6tat6/e6OnXq4Keffgq5neLiYhQXF3v/rfYL0UL2gTJZR9bghJ1fIvdgh57MxPaCogHrUefad6KC9ZTFli5d6p2sAAA7duzAlClTcMEFF6B27doAgKZNm/r9TVlZmfdxz3olnTp1Qrt27fDMM8/gxRdfRFxcHObNm4djx47h/PPPV7Uvffr0wdy5czFhwgRRH0/fmia33Xab7aHJ1KlTsXDhQnz55ZfeKULl5eUAKq+um5iY6P1Sgpk2bRqmTJli2r7KOECWBSs1Z5I1+CH34WyT09QeB3byKRgRdTbbaiIiCuXcc8/FPffcg6uuugo1atTA3r17cdVVV2HmzJmathMTE4MPP/wQV111FerUqYPk5GQUFBTg9ddfR/v27VVto7i4GP/5z3+wZMkSNGvWrNLVKc8995w1C8FmZGTg8OHDqhZiMcNTTz2Fxx9/HAsXLkTXrl29j59xxhkAgCNHjvi9/siRI97nghk/frzfLYny8vIqLXijBweV5CRq15xhuSayVmAQ4hugMCShSESEHQxMiIgonEaNGmHBggXIz8/HoUOH0KBBg4i3CW7evDk2b96Ms846y+/xnJwcbNiwAXv27EF5eTkaNGiAuLg41fsSGxuLq6++GgBw8uTJSs8riva+k67QZPTo0Zg0aRJmzZql6Z7JIsyYMQMPP/wwFi5c6J3+41GnTh1kZWVh3bp1fmurfPvtt7jwwgtDbjPUbZP04qBSm2icbSL7TI1ga87IvL/kbtEy2yRSAOL7PMMSUsO3DtdTn0db2xzt1PRNZO+/EHlE4/hCBikpKd41TCKpWrUq2rRpE/J5tbcYDvT666/r+rtwdIUmX375JdavX4/33nsPZ511VqXgZM2aNUJ2LtCsWbMwceJELFy4MGQIcvPNN+PZZ5/FqFGj0KRJE7zxxhv4448/MH/+fFP2KRAbEn2CHTe3V3RO6HjIvn8UPdQszOdkDEHIDHruWuf2tpfC83z/ge1/YACn946I7FcQkRPpCk0GDBiAAQMGiN6XsI4fP457770XKSkpuPPOO/2emzp1qvduPuPGjcOePXvQokULpKWloaysDG+++SZatWpl2r6xASC9QnVOiCi4wHDBCSEKAxGSgZpfXRmYkIdZZYUzWMlKnG0SvYqLi7Fu3Trs3r0bJSUlfs+NHDlS89UyMYqei3psUF5ejt9//z3oc3Xr1kVaWprfY3l5eTh69CiysrIq3ao4kry8PKSlpeHzM2ORHBe6Q87K3nzRVNGxPBHpZ2d4wlCEnCJcUB9N7S3Jg30fskpGSgz67ahAbm6urtvnyswzdt32fQekpOiaExFUfn4Zzm230XHH7Pfff0f//v1x5MgR5OfnIzMzE3///TcAICsrCz///LPmzyPuqJosLi4OzZo1U/16vfeT9rU/twJn16i86AwreBKNZYrIGLMu32EgQk7GIIRkxxm3ZJX9uSxj0WLcuHHo378/nnvuOdSoUQO//fYbTp06hRtuuAEtWrTQlRHoDk0++OAD/Pe//8Uvv/wCADjnnHPw0EMP4corr9S7SSmxEicreK4PDrfOSWDnl2WTqDKGHESnhQtMGKYQEZFbbdq0CStWrEBsbCxiY2NRUlKCunXrYu7cuWjatCmmT5+OmBhtP7LpajVffPFFjBw5El26dMErr7yCV199FV26dMHIkSPx4osv6tkkUVDRFAwE68Rmpcd6/6fm9URERGwfyGlYZolIlBMnTqBGjRoAgMzMTOzfvx8AULNmTZw8eRLFxcWat6lrpsmMGTMwb9487+KrADBs2DD07t0b48aNw2233aZns0QEbR0HJ9yBh4iIrMPBJxER0Wk9evTAI488goceeggfffQRsrOzkZSUpHk7ulrWvXv34qKLLqr0+EUXXYS9e/fq2SRRSAwFwmMHmYiIALYHREREDzzwgDcYmTJlCv766y9069YN77zzDl577TVd29TVujZs2BCffvpppceXLl2Khg0b6toRonAYnBAREYXGwISIiAiYMGGCNzTJysrCt99+i5MnT2L//v0477zzdG1T1+U5Dz74IK6//nqsWLECnTp1AgB89913eOutt/D888/r2hEiIiIi0o6BCRGJEqk+4Q+Z5ER6LsnxpSs0uemmm1C7dm08+eSTmD9/PgDg3HPPxfz58zFo0CBDO0REREREoTEkISLR1NYrvE00yWjYsGEoLCxU9dq3334bycnJmrav+5bDgwYNYkBCREREZCEGJkQkipH6hDcjkM/hjHKcShG3vYL4cnEbM1mDBg1w6tQpAEBBQQFef/11NG3aFJ07d0Z8fDw2b96MzZs346qrrkJsrPZyrzs0ISJ5+DZ6bMCIiNyJgQkRiSCqLmFwQrKYNm2a979vu+023HvvvZgxYwZiYmK8j8+aNQtffPEFqlatqnn7us6Yv/76C6NGjcLZZ5+NmjVrVvofEdmHnWoiIvdh3U5uxzJuDR5ncrvly5fjrrvu8gtMAOD222/H119/jYoK7UGfrpkmY8aMwcGDB3HvvfciIyNDzyaINNt3ooIVvUpGjhN/MSAiIiKrsf8hnhX9Zs42IdmUlJRg27ZtaNSokd/j27dvR1FRESoqKjRfoqMrNFm9ejV++eUXZGVl6flzIpKYHY0fLy8iIgqNPxiQ27HtF8/KeoPBCcnk+uuvx/XXX48JEyaga9euiIuLw5YtWzB16lQMGzYM8fHaIxBdoUlmZqaua4GIyBkiNX6iVk4P1qCz4SUi+gcDEyJyAvbfSBaTJk1CamoqnnjiCRw6dAgAkJaWhjvuuAMTJ07UtU1docnw4cPx2GOPYfr06bpWnyUiZ/BtAI0EHFo7/Wx4iYgYmBAREWkVGxuL+++/H/fffz8OHz6M8vJy1KlTx9A2dYUmn332GdavX4/33nsPOTk5lRZZWbNmjaGdIiL7eTrrwTrt4YKUYNvQ+/4MTogoWjEwoWjBtp6IjNq2bRvOPffcSo9nZmZWeuyPP/5AgwYNkJCQoHr7ukKTAQMGYMCAAXr+lIhcJli4wVvZERHpw7CEognbeCIS4YorrkDLli1x6623ok+fPpUmdSiKgm+//RazZ8/G0qVLsWPHDvNDk8mTJ+v5MyJD2JGUR6jvQvR3xM4UEUUTtnNEpIVsdQZ/7CK7bNy4EU8++SSGDh2K8vJytGvXDnXq1EFsbCwOHTqE77//HiUlJbjxxhvx888/Izk5WdP2dYUmRFaTrVEgf2Z8P2x0iShasI0jIi1YZxD5S05OxpQpUzBu3Dh8+umn+Prrr7F3715UVFSgadOmGDVqFAYOHIi0tDRd22doQtJjwxB9GJgQUbRgG0dERCRG1apVMWTIEAwZMkTodhmakJTYiYxuam9pLOrWx0RERGQttt36yNxH5ndKbiXvWUdRS+bGgKwVbu0UlhMicjrWYxStOLh2J9Zp5FacaUJSYWVLgVgmiIiI3IOBibWCHW/2rYi00RWaNGvWLORziYmJaNy4MUaNGoVBgwbp3jGKPqzASS+u1k5ERCQ/ttXWCnW8952oYL+bSANdZ8tll12GHTt2oHXr1hg1ahRuvPFGtGrVCjt27ECfPn2Qnp6OoUOH4v333xe9v+RSrLiJiIiI3IuBiVz4fZBbVVRUYPny5d5///DDDxg1ahQmTpyIoqIiXdvUNdPkhx9+wJw5czB8+HC/x+fOnYt3330Xn376Kfr06YNp06bh6quv1rVjFD0YmJBZOAOFiGTEdo+iDdticUTOEuGME3c5UD0W1VLEfZ8nFUXYtqw0a9Ys/PXXX7jgggtQWlqKSy65BGeffTbWrVuHv//+G6+88ormbeo6qt999x0uu+yySo8PHjwY69at8/73H3/8oWfz5BDhFuk0ug0io1i2iIiI7MfARDyRx3TfiQrv/4jcYN68ebj++usBAF9//TWSk5OxfPlyLF++HO+9956ubeoaVSQkJGDVqlWVHl+5ciUSExMBAIcPH0bDhg117RTJzffOJZ7/9v0fkR1ClUOWSSKSCeskiiYciJsn0rHVc+z5fZEb/P3330hLSwNwOp8YMGAAYmJiUK9ePZSUlKCkpETzNnVdnnPPPffg2muvxejRo9GhQwcoioJNmzZh9uzZmDhxIgDg2Wefxe23365n82Qx0R04z1Q/VrxkN5ZBIiIia3jaXE+/km2w+UIdY88PSGYGJ8HGD/zOSQYtWrTAM888g+HDh2Pu3Ll49dVXAQA7duxAdnY2EhISNG9TV2gyfvx45OTk4JlnnsHcuXMBnL6jzuuvv45rrrkGAPDoo496Ex6KTgxOiIiIiNzPt7/Hvp/9rPgO+D2TrB577DFceumlmD59OgYPHox+/foBAGbOnIl77rlH1zZjFMWhK7yYKC8vD2lpaZhTE6gWG2P37liC04XJrQIbdf4CRkRWYxtLbsb2lJzgZIWCUUeA3NxcpKam2r07QnnGru8ebo9qqXHCtnsyrxzXZm5y5DFTFMV7XDx27NiBhg0bIj5e+7wRQ624oig4ePCgkU2QAVrWEAm37gg7c+RmgevvEBFZifUOuR3LOBHJJiYmptJVL2eeeaauwATQGZqcOnUKd9xxB6pXr4569ep5H7/++uvx008/6doRMk+wxowLt1I0YTknIiuxjaVow/JOobBckB3eeOMNdOjQARkZGcjNzQUATJkyBb/99puu7ekqxZMmTcL69euxaNEiv8cvv/xyTJkyRdeOkDbhKiDezYYoPE4lJiKzsN0lIvLHepGs9MYbb2DChAkYOXIkSkpK4FmNpFWrVnj44Yd1bVPX/JT33nsPX3zxBZo2ber3ePfu3b33RCbz8PIaIjHCnTsMVohIC7bF5AS+bRvLLFnBc1dNIqu8/PLLeOutt9CvXz9MmjTJ+/gFF1yAYcOGoaKiArGx2sqkrtDk0KFDyMrKAnD6eiGPsrIylJaW6tkkEZFl2HgTkSisT8ipOJglIjfavXs3WrZsCcA/q0hMTERpaSlKSkqQlJSkaZu6asoWLVpgxYoVlXbktddeQ/v27fVskjTYd6KCv4ITERHZhJfAEgXHc4KC4biFrNSoUSNs2rQJgH9W8cknn6B+/fqaAxNA50yTyZMnY+TIkbj77rsBAK+88gqWLVuGhQsXYtmyZXo2SURERCQ1DgiJiIjkdu+99+Lmm2/GtGnTUF5ejm+//Rbr16/HU089hccff1zXNnWFJpdeeinee+89PP7440hKSsI999yDdu3aYenSpbjwwgt17YhIJ0+exJIlS3Do0CG0bNkSvXv3tnuXiMhhstJj+csIEXkxMCE3YXkmO3jKHftX7vT000+josL/uz3vvPPQrl0777/LysqwevVqbN++HfXq1UO/fv1QtWrVStv67rvv8MMPPyAuLg7t27dHmzZtVO/HNddcg5MnT2LChAnIzc3FxRdfjPT0dPznP//BXXfdpeuzxSie5WRd4uDBg+jVqxeSk5PRtm1bLFmyBP369cP//d//qd5GXl4e0tLSMKcmUC02JvIf2ICNHZH52KgTEcA2l0gLtp0ko5MVCkYdAXJzc5Gammr37gjlGbu+e7g9qqXGCdvuybxyXJu5SfUxi4+Px+DBg9GoUSPvY5dddhl69uwJAPj2229x/fXXo2HDhjjrrLOwceNGHDhwAMuWLfOuQVJRUYGrrroKK1euxJAhQ1BSUoKPP/4Yw4cPx0svvaRqv3ft2oWGDRsiNjYW+/fvR2lpKbKzsxEXp//Y6JppIrOHHnoIKSkp+Pbbb5GYmIiffvoJrVu3xtChQzF48GC7d0+zwI4aF+0isgY7fURERERE6o0ZMwb9+/cP+lxycjK++OILNGzYEACgKAoGDBiAO+64A6tXrwYAbNiwAR999BG+/fZbdOnSBQAwePBgDBkyBOPGjfP+bTgdOnTAjh07kJ6ejvr16wv5XKpDk2bNmqne6K+//qprZ4wqLy/Hxx9/jMceewyJiYkATi9a26NHD8yfP99xoUmwcISBCRERkXXY7pJTeMJ+llkissvKlSvxxx9/ICcnB3379kW1atW8z7Vq1crvtTExMejVqxeef/5572OeMXxycrL3sWrVqiEuLg5VqlRRtQ/169fHnj17kJ6ebuCT+FMdmtxzzz3e/961axdmzJiBwYMHo2PHjgBOp0ILFizA/fffL2zntNq7dy8KCwvRtGlTv8ebNWuG9evXh/y74uJiFBcXe/+dl5dn2j6qxQaPiIjIfpzhSaQN1wQjcpfAsXFiYqI33PAVHx+PH3/8ESdOnMALL7yAU6dOYcGCBSHXI6moqMCCBQvQqVMn72Nt2rTBY489hpEjR+KSSy5BWVkZFi9ejJdeegn16tVTtb8PPfQQ7r77brzxxhvIyclR/0HDUB2a3HLLLd7/7t+/P2bPno0bbrjB7zVvvvkm3n//fSE7pkd+fj4AVEqV0tPTvc8FM23aNEyZMsXMXfPDxoSIiMgZGJiQU7CsEkW3PQnpqJogbvWNUwllAIDs7Gy/xydNmoTJkydXev23336Ltm3bAji94OugQYMwYsQIbN26Nej2J0yYgG3btuGtt97ye7yiogLHjx/HgQMHUFpaioKCApSVlane74cffhg7d+5E48aNUb169UoBz86dOzWva6PrqH733XeYP39+pceHDBmCe++9V88mhfBM/wlMw3Jzc/2m+AQaP3487rvvPu+/8/LyKhUOUTwNWrjghI0eERGRvdgWExnHu6UQOd/evXv9QoZgs0wAeAMT4PSsk9tvvx2XXHIJDh06hNq1a/u99sknn8QzzzyDRYsW4ZxzzvE+vnDhQkyePBlbt271Pv7VV1+hd+/e6NixIzp06BBxf5966imUlJSEfD7Y3Xoi0RWaJCYmYsWKFZXWCFmxYgWSkpL0bFKIhg0bIjExETt27PB7fMeOHWjSpEnIvws1xUg03w4YGw8iIiJ5cX0I8hXYb2O5CI/Hh8g9UlNTdd1xKD7+dNSQl5fnF5rMmDEDkyZNwsKFC3H++ef7/c2mTZtQr149vyClV69eqFKlCjZs2KAqNNm8eTMmTJgQNJeYOHEiBg8erHp9FA9dNdp9992HYcOG4a677sK8efMwd+5c3HXXXRg2bBjGjh2rZ5NCxMfHY+DAgXj77be994j+888/sXr1alx++eW27VcgBiZEREREzsW+nDYMUYjcbceOHSgqKvJ77M0330S9evVw5plneh+bOXMmJk6ciE8++QQXXnhhpe2ceeaZOHjwIPbu3et97Pvvv0dpaSnOOussVfvy3HPPVdoX3+d81zJVS9dMkwcffBCNGzfGzJkzMW/ePADAueeei7lz5+KKK67Qs0lhnnzySXTr1g39+vVDp06d8N5776Fv37645pprbN0vgA0skZNw7SEiIgJC99+4SLA2bFeJ3OuPP/7AZZddht69eyMzMxNffvkltm3bhnfffRexsafryY8++gj33XcfBg4ciB9//BE//vij9+89Ey+uueYavPzyy+jevTtGjBiB0tJSvPnmm7jkkktwwQUXGN7H4uJiXbNmYhRFUQy9u4QOHz6Md999F4cOHULLli1x5ZVXIi4uTvXf5+XlIS0tDXNqAtViY0zc08rY+BLZix06IvId3LFddq9g9X3g9x2pTWD5UI/tq7y0lnsnOlmhYNSR02td6hk0y8wzdv1v7vmomipwIdi8MjyU9qXqY/bXX3/hk08+wcGDB5GTk4NBgwYhIyPD+/zKlSuxZMmSoH87ffp0739XVFRg4cKF2Lp1K+Li4tCuXTv0798/4vtnZWXhxIkTKCwsrLSeaUVFBU6dOoWbbroJr776asRtBVIdmnzyySe47LLLVG1Uy2tlZHVo4umcseElsp8bOwpE9I9IC1OyLY4Oar5/Ne0By4s6bFvlFqwcu+07Y2iindbQxG5LlixBaWkphg0bhldffdUvOImPj0d2djZat26ta9uqj+ojjzyCxx57DDfffDMuueSSSivgHjhwAAsXLsRrr70GAI4OTYiIiMjdONilYLTOMOKMJHI6ll1yi4EDBwIAvvzyS3Ts2FHTlSaRqD5LNmzYgFtvvRVPP/006tSpg+zsbHTo0AHt27dH/fr1Ub9+fbzwwgu44447sGHDBmE7GA04y4SIiIjIOpH6XVp/ZXfbr/IUPTjrjtymS5cuiIuLw759+7B69WqUlZUZ3qbqmSaxsbEYNWoURo0ahR9//BHffPMN9u7di5iYGGRlZaFHjx5o2bKl4R2KVgxOiIiIzBfY3rL9dTffAaHWS2/0vBfLEjlNqDLLIJCcKj8/H8OGDcOiRYsAAMePH0d6ejquu+46XHPNNRg0aJDmbeq66KlVq1Zo1aqVnj+lMNjYEhERmS9wMMD2l8g8HHzLi/UeudHEiRNRVFSE3bt3+2UWY8eOxc0332xdaELq8fZqRERE8mNwEh3M7pNxjRN/7AM7V6RFs4lktWzZMnz00Udo0KABYmL+ualLq1at8MMPP6C4uBiJiYmatsnQxGR6r4llY0tEREQkjhsHf7L2G914rInIGfLy8pCSkgIAfqFJYWEhKioqdC0QK1cNS0RkM9k6nkREpF9Weqwt9bpZocG+ExV+/9P6uBUzbRiYEJGdOnfujPfeew/AP6GJoiiYPHkyOnfujPh47fNGONOEiAj8VYyIiOQl+9182IY6Ey9LJDeaOnUqevTogXXr1uHUqVP4z3/+g7Vr12Lbtm1Yvny5rm0aOksURcHBgweNbIKIiIiIyHVEBAlmzNxQM/vE6PPkHPz+yG2aN2+O77//HvXq1UPz5s2xZs0atGjRAt999x169Oiha5u6ZpqcOnUKDzzwAObMmYOTJ09CURQAwPXXX48HHngALVq00LUzdBoTXyIiImux7XUPmdb50PtLvmwzRTiwdrdQ5ZTfOzlVTk4Onn/+eWHb09WaTJo0CevXr/fe+9jj8ssvx5QpU4TsWDRjak9ERGQttrvuEOp7lCFAUYtlkezA8QdRaLpmmrz33nv44osv0LRpU7/Hu3fvjuuvv17IjhGvMySyCjsJRASEnqEQWEewbXYG336UE+p5J+wjuR/HH861U6mLBCVB2PZKlBJh27JSQUEBnnjiCaxatQpHjx71XhXjsWHDBu/dddTSFZocOnQIWVlZAPxv41NWVobS0lI9myQiIiKSgpZLFTi4kEOo70zGIELGfSLy5QlOstJjWV7Jce644w6sWbMGI0eORI0aNSo9n5iYqHmbukKTFi1aYMWKFbj00kv9QpPXXnsN7du317NJIt34CyAREdmFv8razymDOqfsJxHA8krOtXz5cnz66ado2bKlsG3qCk0mT56MkSNH4u677wYAvPLKK1i2bBkWLlyIZcuWCds5YmcsGLW/APK4ERGRFTjzxD4c2BERka/09HRds0nC0dWyX3rppXjvvfewcuVKJCUl4Z577sHff/+NpUuX4sILLxS6g0SA/63ttP4NERGRVXgbVus45RizPBARWee2227Dgw8+iBMnTgjbpq6ZJgBw0UUX4aKLLhK2IxQaZ5sYw+NHkfCaXSIyA2egmIP1NRERhTJo0CBMnToVZ5xxBmrXro3YWP/2d9u2bUhNTdW0Td2hCVnL6QN/tR0cI58x1Ar5Tj5uRETkDgxQjGFQQkREavzrX/9CRkYGxo4dG3Qh2KSkJM3bVB2aNGvWTPVGf/31V807QpE5NTjRekkNoL1D6ft6Jx4jsh9nmxCRVbj2lnqsl4mISIvvv/8eK1aswLnnnitsm6pDk3vuucf737t27cKMGTMwePBgdOzYEcDp+x0vWLAA999/v7Cdo8qcFJwY6eio+Vs1xyHSdpxyLMkaDE6IyEoMT8JjfUxERFplZ2f73eFXBNWhyS233OL97/79+2P27Nm44YYb/F7z5ptv4v333xe2cxScEzpZVnR0fAMkve/npBCKrGG0TBERacXLSomIiMQYNWoU7rvvPrz55puoXbu2kG3qWtPku+++w/z58ys9PmTIENx7772Gdyra+HaO3DBQs/IzuOF4ERER+WKgfxpn/xERkVYzZszAzp07UadOHWRkZFRaCHbnzp3WLASbmJiIFStWYPDgwX6Pr1ixQtfCKvSPUJ0kdhrMw8X5KBh21onITgxOTmNdTEREWjz11FMoKSkJ+XzVqlU1b1NXaHLfffdh2LBhGD16NDp27AhFUbBx40a8/vrreOSRR/Rs0jUCOziiGvrASwbYkTIHO6nki511IrIT2yQiIiJthgwZInybukKTBx98EI0bN8bMmTMxb948AMC5556LuXPn4oorrhC6g04SrGMTKkTR2wmSvfPEASa5Ddc4ISIiIiKKXrpCEwAYOnQohg4dKnJfHMNIcCF76EFEwXHWCRERERGR/NavX493330Xu3fvrnSpzvvvv4/k5GRN2+MIXiOGHu7HgTGFkpUeyzqAiCzFNomIiEi9BQsWoHfv3jhy5AiWLFmCWrVqef87MTGx0sKwauiaadKsWbOwz//66696NistDpLUc8uv8byOnMLhJTtEZKVob5Pc0rcgIiLzPfXUU3jttdcwfPhwLFq0CE8//TTS09PxxBNPYOXKldYtBHvHHXf4/buiogK///47Xn/99UrPOVn9tFgkx8XYvRtElqidGY9Dh8vs3g1HcdvtwolIXgxOGFYTEVFkf/zxBy644AIAp+/6W1hYiPT0dNx7772YMmUKysvLERcXp2mbQkITj759+2Lu3Ll6Nkku4oZfhNzYMa2dGfl0D/YaBilERHKI9uAEcEcfg4islZUei8JyBTji7rrj1+IzEV+cJGx7ZcVFwrZlpeLiYiQlnT4O9evXx7Zt21C/fn0UFBSgrKzMutAklIsuugg33XSTyE2SQzm5U+OWDqmakETrdhighMZZJ0RkBQYnnHViJjvKVqg7S/L7Jb2ivY6kf1x55ZUYM2YMrr32Wixfvhy9e/dGQkKC5u0IDU2++eYbb6pD5DROrmBFBSRa3ocBSmjs0BMRmc/JP9DIxO7+T6j3D/U4v3MKxe6yTHJYtWoVUlJSAAAPPvggYmNjsWrVKnTq1AmTJ0/WtU1dI63BgwdXeuz48eNYu3YtJk6cqGtHyH2cMHB0cuVqVVCi9f0ZphDJTWu9J3MdHq042+QfTuhryMbpZYczUsiX08szidemTRvvf8fFxeGhhx7CQw89ZGibukZdWVlZlR5r2bIlJkyYgH79+hnaIXIf2S5bcHLlandQogZno/yDv4KSTPTWfRygyInBiT+GJ5G5tbwE+1wsB+7k1jJMYimKgo0bN6Jjx45+j2/ZsgXnnHMOEhMTNW9T1wisTZs2GDNmTNDnZs+eHfI5InZq9HFCWBJM4H5HY4jCMk9uwwGKPBicVMY6t7JoLCMMe90lGssw6ffcc89hx44dlUKTlStXYt68eZgxY4bmbcYoiqJo/qOYGIT6s3DPOUVeXh7S0tLw+Zm85bCZrG7AnFjhOjUsUSsaQxR23MguVtWBLOPWc2L7ZqVoK5MsD6FFW1lwOpFlubBcQb8dFcjNzUVqaqqw7crAM3btfWgS4lMF3j0nrwira09x3DFr0aIFPvjgA5xzzjl+j+fn5yMnJweHDx9GTIy2Mb7QEdn+/fuRkZEhcpPkYmYv8OX0ToPbAxOA66IQuZGeup2zA4zhjJPwomnWActBeLJdMk6hsSyTXsePHw/6eExMDI4fP47S0lLNd9DRNCrr0KFD0P8GgIqKCuzatQv9+/fXtAN6lJSUIC4uLuz9lSsqKnDy5ElUr17d9P0hsYyuA+H0SjYawpJIeFkPkVgy1Itq9iGaBreiMThRz40hHb977dxYDtyC5ZmM6NKlC55++mm8+uqrfjNKZsyYgdatW5t/y+GhQ4cCADZt2uT9b48qVaqgUaNGGDRokOadUOujjz7C9OnTsXXrVpSXl6NTp0545pln/FbIVRQF//nPf/Dcc8+hqKgI9evXx/PPP4+BAweatl8knt6GzMmVLMOS0MIdG6cFKlwclqzm5HpR7b7znDotXHASeIycXC5Ecfqgmd+hGJx9IheWazLqkUceQbdu3bBx40b06dMHVapUwdq1a7F+/Xp8+umnurapaZQ2btw4AEDNmjUtX+y1vLwc7777LmbNmoV27dqhpKQEt912Gy666CL89ttvSE9PBwA888wzeOGFF/D555+jQ4cOePrppzFkyBBs3boVZ599tqX7TMY5vUOjhtlhSVpm+BWicw8Xm/r+Zgt2/GQPUqKhXJMcoqXzGe5zRtt5pvbzel4XLWUkHKfNcOJ3Zh6nlQU3YbkmUZo3b45NmzZh+vTp+Oqrr1BRUYGWLVviueeeQ9u2bXVtU9dCsLLYv38/srKy8Nlnn3lvdXzmmWfi8ssvx/Tp072vy8nJwZAhQ1SvlOtZTGdz5wSkxFuzEKzsgzxZhGq8nFrRmhmYRApLgnF6gBKKzOcXO2RkBqfWiVbgOVcZy0tkspQbflf2kqUcuI0Z5Tqwj51fpqDtdyWOW9RUDS4Eaz7VIzbPJTBbtmzxuxwmmC1bthjYJfV2794NAMjMzAQAHD58GDt37kSPHj38XterVy989913luyTXm66/MBMbuosyBaY+P6d28ITmddI4eU6JIqb6kczcSo+6WHnbCYnntu+7a6nzZW5LVaLM0XFEl22eam7vfbv31/pLrrp6elB1xg9duwYSkpKUKdOnZDby83NRVxcnO41Svft24cdO3age/fuiI83VjZU//Xw4cOD/rcRBQUFKCoqCvuaGjVqIDa28glVVFSEu+66Cz179vROszl8+DCAf0IUj8zMTKxbty7kexQXF6O4+J9BYl5enurPYAU1FYATG55oJmNgEmwbbgtPPIJ15uzE6cBklBMHVTJggEIiBDv/jJYnp5zTavozoV7j5Dvosd02TlQZZ1Aij4YNGyIjIwOJif+MRaZMmYLRo0d7/7148WK89NJLWL58ObKzs/HHH39U2s4ff/yBESNGYPPmzaioqEDv3r0xd+5c1K1bV9V+5OfnY9iwYVi0aBGA03fTSU9Px3XXXYdrrrlG1xqsqkvZ2LFjvf+dnp4eck2T2bNnq37z8ePH49133w37mg0bNiAnJ8fvsbKyMlxzzTU4evQoPvnkE+/jntVxy8vLK70+WPDiMW3aNEyZMkX1fsvIDel9tJA9MAncnluDEw/ZAhSAs09IPacMrJyAvyCTSJECOSeeu1YNTp0YpjCAVY9hibvNmzcv7N1033zzTdx6661o37493nnnnUrPl5eX47LLLkOTJk1w7NgxlJaWYuDAgbj22muxatUqVfswceJEFBUVYffu3WjVqpX38bFjx+Lmm2/WFZroWtMkJiam0tQbNc+JUFZWhmuvvRYbNmzA6tWr0bBhQ+9zubm5SE9Px/z583HllVd6H7/22mtx6NAhrFixIug2g800yc7OtnRNE7PJ3NBEEycFJsG4PUDxJcM5w44XhePEQZeTRNP5x7JEocg+MJWhrY4kmuqSSETUNXrLJNc00U7rmibx8fFYsGABunTpgpo1a4Z97eTJk/F///d/lWaaLF++HBdeeCF+++03701cVq5cifPOOw8//fQTmjdvHnE/mjVrho8++gjNmzdHRkYGdu3ahfT0dJSVlaFatWrIz8/3mw2jhtBWcv/+/cjIyBC5ST9lZWW47rrrsGHDBqxatcovMAGAtLQ0tGrVCsuXL/c+Vl5ejhUrVqBnz54ht5uYmIjU1FS//7lN7cx47//IemYfeysCE8/7eP7ndjKcMxzIUCgsG+bLSo+NiuMcDZ+RtLO7/VPLt62WdZ95jompT2X9fsnf5ZdfjjPPPBOpqam46667UFBQoOnv169fj5o1a/rd9dazXun69etVbSMvLw8pKSkA/rkSBQAKCwtRUVGBuLg4TfsEaLzlcIcOHYL+NwBUVFRg165dYafjGFFRUYERI0Zg9erVWLJkCapXr44jR44AAFJSUrxp0YQJEzB8+HB069YNXbt2xVNPPYWysjLceuutmt8zrWYiUqoYm2ki4y/zMl6O4GZ231LYiveVsZyL5PkO7ThfeKkO+WLn23puvmyH5Yl8uWVAKuMl69Hclts5u4TECFzvMzExMehMjXHjxuH+++9HRkYGNm7ciMsvvxy5ubl46623VL/X4cOHK81SqVKlCtLS0rzrl0bSuXNnvPfee3jwwQe9oYmiKJg8eTI6d+6sa1FYTX8xdOhQAMCmTZu8/+1RpUoVNGrUSNc1QmqcOHECX3zxBQBUCmZmzZrlXZz2qquuQlFREWbNmoV///vfaNmyJVasWBF2ZV4zqRnQ2jnglLFhcRO3BiaBoiVAsSs8cfOgjdTh4NZ+XLOA3MrtA1JZ+rrRuHisiNklRvj2T2NLFQAlhrYnu92FOYiNrSZsexWFJwEA2dnZfo9PmjQJkydPrvT6qVOnev+7Q4cOeOSRRzBmzBi89NJLqFZN3X7FxsairKzyOVpaWqp6hsjUqVPRo0cPrFu3DqdOncJ//vMfrF27Ftu2bfO7IkULTSVx3LhxAICaNWuGXAjWLDVq1PDOLIlk5MiRGDlypMl7JE64ga/VA1DOQhEjWsKSYGTZNzPPHTvDk2joZNE/GJbIyQ0BCssWiRyQimJFv1fWEAVwbn0SjF2BiSz9UDfZu3ev3/IVatcDady4MSoqKrBnzx40a9ZM1d9kZWXh77//hqIo3lkiBQUFOHnyJOrXr69qG82bN8f333+PGTNmoHnz5lizZg1atWqFOXPmoHXr1qq2EUhXabQ6MIlmgSe+lSGKLI2Kk1jxaw0bA3VCHSeR55Ad4QlnnUQPDmqD01PPmnmOOjFAcULZcuIdVJzCSF/F7D5IsO2b3feVqb/rltkoDEzcRc2anxUVFZXuVrtu3TokJCQgKytL9Xv16tULeXl5+O6779ClSxcAwLJlyxATE+Nd20SNnJwcPP/886pfH4nuWnPPnj1YvHgx9uzZU2kKzfTp0w3vGAVnR2PiIVOjIqNonl3iJGacQ3bM0OKsE/dywoDWbKLrU6vOUSeEmrKXr0jfPWfE6ufUgajVPyAGO06cjaKeHYGJ3WWUgDfeeAM//fQTrrjiCmRmZmL58uV49NFHcc8996B69ere1x0+fBjFxcXIy8tDeXk59u3bBwCoW7cu4uLi0L59e1x88cW46aab8PLLL6OoqAj33XcfbrzxRk3hi2i6bjm8fPlyXHbZZWjZsiW+++479O7dGz/99BOOHj2KXr16YfXq1Wbsq2U8t23aOTDF8EKwdrFjXYlo7bxwdol7iDxvrDwfZO9AkTqyD2bNYOdaClado7Kdn7KWM6NlIVr7IGo4NSxRw8511GQoczLVL3Yu+KqmrOaXKmi8JN/VtxxutPNNxKYIXNMk/yT+bHyDqmNWXl6OOXPm4O2338bBgweRk5ODG264AVdffbXf64YMGRL0LjgbN270rkGan5+PiRMnYtmyZYiPj8fgwYMxceLEsJcFpaenIzc3V9XnOn78ONLT01W91kNXaNKpUyeMGTMG//rXvxATEwNFUXDy5EmMHj0aNWrUwAsvvKB1k1LRE5pUb1g98ov+v4Ld2m69JAqDFLGs6uw7odPiRiLOF9/yXzsz3vTzQabOE6kj6wBWJCcsMmlFWyXL+SljmRNVRtzc59Armn61t3shehnKnx31jKg6xexwj6GJdlpCE7utWbPGe/XLtm3b8OCDD+K2225D165dER8fj82bN+PZZ5/F7bffjokTJ2q+g46u0CQ5ORmHDh1C9erVER8fj4KCAiQlJWH//v1o164dDh06pHWTUokUmmgJSNSyI0ixunGRoTERgWFJ9DHjXImmQRr5k3HQKpITQpJQomH2iWzlz6zy4pY+h17RFJYEwwClMpH1juh6xIryytBEOyeFJr4uvvhijBw5Etdcc43f4+vWrcONN96Ibdu2ad6mrpbq5MmT3muT6tSpg507d+Lcc89FQkIC8vPz9WxSemYEJWq2b2aYYvVtYp28qJuVgwA3dVrcwvOdiF5E1uyyz3VP5CDbIFU0J4ckgaxa3NmuxWNlK4tmlp3A7zKa1kKJ9sAEsL6PG0imdVE8Qp3/auogM+sOllcS7ccff0S3bt0qPd6xY0fs3LkTJSUlSEhI0LRNw63VRRddhNtuuw033HAD3n//fe8qt26QnJ2M6on2djCsClNkuUuP3Q1KIIYl5Et0eGLFAM2Jd/aQkWyDTbvJEJRoqTO1nrNWtktWnaOylWGrylCw97HrtvFW4AC0MrsDFA8ZgxRAvrohEreXVzIuMzMTb7/9NsaPH+/3+Pvvv4/q1aujSpUqmrepq8WaN2+e97+ffPJJ3HHHHZg8eTKaNWuG1157Tc8mSaNgYYrIIMWuEEWWO/QwLKFwzAhPrCjr0R6gOK1jKBunBSWh/k5PgGLlXbE8RJyjspZ5GcoSIE+fQwQ3L/Yqkp0/EgYj8w+HVtBabqOtvJI+U6dOxeDBg/HZZ5+ha9euiIuLw5YtW7Bs2TK8/PLLiInRfqMXXWuauJ3nurBDt9RBqs0zTYwy6/Iet61WbkcHjhW/OcwOFIMRdT5Y3WEKHJT5Xs4T7NapTridaiBZB41OIcPg1qy6Uut5K8OAxu5p9CLIUKbUkOH7VouBiXnsDlWcVA61snJWVPWG1ZFXXIHaL//luPU51OCaJpX9+uuvmDlzJn766SeUl5ejadOmuPPOO9GhQwdd22NoEoSbQpNAZg4e7W5YnIKdFDFErjMk8rwQfdcdJ5AxRJF94CgzGQa1VteTWs5bp52fspChXOkl63du5JiyL2Icb6ign1WBiW9fkaGJdk4OTURTXWLbtGmjeqNbtmzRsStkBTN/hZflmlFZsYNinFkLMvtu1+j5EOx71rueglM6SLJd9sPARB8ZBrVG6snA+kHLuZyWmaj6PHXa+SkDGcqWEVZeoqWG0ePJ/ogY4Y6jGf1gt1xOZkdgQmSU6lI7fPhwM/eDbGRGkMIAxR87KPpZ3eiJDFA89K6B4sQOkhWBRahghmGJdnYPZo3WjeHqB89zas9jreepbANpWdldxkSR4fsWcSzZH7GGiB9QInHieigMTMipVJfcsWPHmrkfUSExJ03o9op35Qrdni8jv9gFkm3RLSuxc6KfDA2e1kFXJEbDRCd2kMzAcMQYGQaxIupGtXWEmeEJZ52EJkM5E82u71vUsWSfxF5mBinsHxCZy30tmk1EByKi3lNUsCJyNooV6bvd2DExRobAxJfo8EQEdpBILZkGr1aGJeH+Ts25zPBEH6vKm9WXRviyqv4VeSzZL5GTGT8syto/4CwTcjJ5elIOZEdQolW4fTQaqJgZpDg5RLGrY1K9YXWpBvVuJDI80bKGQiROvIyHzOW2oARwRkc42sMTK8qdmvJk5SXCZtS/oo8jAxPnEN0fdvJlZSy3JBN5elUO4oSwRI3AzyFiVoqo9SCcuCaKlZV7qMGDGetxWM0JAyNR4YnI4MSXrL8ykXlkCkkAsfWh2johVNscrG3Tcg7rWZMo2sITWcKSSH9nRX9CT4hi5vHjwNPZRJTfcOXL7DrK6rbJCX1IM53Mq41YJVnY9iryC4Vty+nk6mVJzi1hSSjBPp+RIEXUuihOuJzH7E6JnkaAM0/MJyKkMis48QjWYYmWgZzbyRSUmFEHaqn3wrXPiTlpIdsys+tJN4cnVpY/UeXL7Po2GDvPUwYm7mJGAGjmjyy8JTa5iTw9Lom5PSwJR2SQIvrSBl92hSgyhiWBf++k4MSMXwginb9mrfuj9XangHXlWG1Hxo0DPSdze0jiISosCfa6ULNOzJpx4uGW2V9Wl0EzypkTZ7KSeGbNSLCqz2X2WiiA/rqKt8QmN5KnB0aOYTRIMfOWroD5nSCrKnNRDbrTghMj9AScZlymBug77rJ15tV0fJw8AHQKWcISmUJivT9mhJp1ouV8NRpyOnENIjeEJeHeR4b6VjQ3DzxlvgQj2A8oVvTDzCjLasJeWdonIrOxpEcg+ywTJSv4dWsx+6y9Bs33OLktQLGj4yG6Q+CE4ETvZxZ9juoty6LZeWcILdx8+YGdZOqIWlEHGl23RItwwYmH2TNPfMk4C8WO8mfnIN+Oy3ZIHZkDEjU8+x/qc4jum1mxVpqZjNQDTi8rJDd5emWkWqigRM1rrAhTjAYoIhsQp/3SwgpfPSsCTaMBilm3Kg5Vru3s9DM8MS7aghLA2rAkcHuiQlGRv/DatQaRXWVPpjaawYk8oqkvJPJOlB5OLcsy1QdEgeTpoUmqeFeuVLNN1AQmev7erDBFz6UPZg00ZWd2J0Hm2SZO6CCFWxMhEquOvQxhitFLemS4PaJVZApJPGQLSwDzAlLRC8SadalHpHKi53zh4qTBuflyHdk5oR9gFRH9YKcGJ0Z4LoUiMoN8PTYJeTpVdocnRgMTPdsWHaZo+XXPDbfPVYMVvHZ2not6f6G2M7SSZeFkj0gDNqsGdFaGMzIGJL6iKSwJfI9wwQmgvf2x+xa3spI5LAnkhgFn7uFiRxxz9oFCM9oPluGHFLWcUFYpujmjpZWEbLNOrOAJU0SGJ3oGnTLPkjCCnQXtx8DIOag2eIxU3vXOOpFlFpVT1ksxm1MGm2axspNq5XkumpH2J5pnLjh9EOSG4ERmsvZ/RNU9otdEE/lDomz1ktPrCooO0d1j1MHO4CRmX6Gps03CER2e6Bl0uik4kbWzIDu9557W80ZteTcy6wSwPzwJRrZZKSSW1Z1Tu8MSNeeymvPYaPsj252xzGD3wMeMhTZlG1y6gUz9HzP78+G2bTRQERWguLF88xIdMgtDEx2iccaJhxnhSTQFJ6zI/VlxPIwEjaIGXKHIHJ54uLFTFW1kD0o8RLWrwc75SOey2uAEEPcrL+Dc88rOgERr+RK1PgTg3O9LBjL0f2TpuwfbDyP9CCcvHGt32EqkFkMTnexa58TO2Sa+lKxk22adOHGtExk6C9FI1LkisrwHo7Z82FneOQPFWZx2q3Sjbanacz3cuaw2ABUZ3jvhvJJxvRsj24+G8ES2gaidfSCzZq/58q1T9PYXjNytT1Rw4iF7+Y6Es03IDAxNDLJj1omnMrY7PBE9kHTjWiestEMz+9hEOj+K6iaEfC7pYEnQ7RkdbBml9ZiZeW44YbAXLZz0q38gK9Yo0kJLcAJYcztxK88tK8qS3e2iyPDEQ5b6T7awBLD++xbRJ9d7SW/gv/X2kfUEKGaEuWaXazPLK4MTEo2hiQB2Xa4jQ3ji+94iAhS9wYmHDAEKK2n7hTonwgUlwV4XGJ7IEJxoEawsmnWOOGmVfieTZVAkop7T2m5aNXNM613ezG53RJ9bTpuFZBazZgyZVefJcu5rYdX3btVMNRHb1dpXDvxs4eom0W2+meGJE8szRTeGJoLYeVtiGcIT3/c3Gp6IWCMCsC5AkbEzGM2MBiaBfxNs1kkoMgYngawMUgB1HaNwHTK9HSu3hDWydSydHJYEblNkcAJYH9rLVjZ8OaVdNCP0EjnQlPk7DseK79+KoERLv0FtXyHwfY2EKFpmxQH66yjRa55YVa4524REYmgimN3hid3BCSBm9oneW7r6itSR9X2elaoz6J3VFarjc6xWRdDHa/wd6/e3vp0hs9c3sYPds7XM6EBF2qYsoYoTBkUi60ct56/Z7Znoc9kJCzubwentpxWXWqmpb5xQF6hhdnkwOyzR8wNLqL9TE6QY6TPruZkCoK+siwpOrC7n7OOTKAxNTOJbiVkZoMgy68RD9OU7ekSqLFmZupvWwMT3OU94onXGiZMFng9uHQBasXaE0wdBdoQlVrddZlxy59bwxK7wLJBZs/nMvNTK6XWBWmb2p+wMS9T8wKJmm5H6EXr6zFZe1m50FpVd5wGDExKBoYkF7Jh9IsusE196ftVzwuUOZC0RawiFC0yMsKKsarm+WYRoCVGA6BnYhGJGp1LNuWp3W2XWWkVOPXfsKgd6tyWyDpR9cXmZmTUoNTMs0fOjSqTXhQtSQq2XFoxVPzrqKfN6Zp3Y3b4W7C5AYali6z6QszE0sZDV4Ylss070YnDiTkaSf7sWX7aKls8W6bWizx2r10Qhc8iy5oAT2icjtwL1ZeSYm3GOyTrINfp+Rus8t84UMpOMQZuZYUk4gdsIFqL4vr/WAAWoHKIEO1ZaL9vRE5wA5qxJRvolHamP2FMpwrZXUZgvbFtOx9AkjMK9hUg9S1zB87AjPHFCxzQcBidiyPYrGqdMnmZmXWC0M6UGgxS52H1OyXopTjhqZ0La1RbZ/Z2Go7f+CvX9i1hM3peRmUKsxyKTLTDRcxmOmrDk74yykM/VOh56OBV4uW+4/dGymGyk80TPgrF61zrx5QlRGJiQ2zA0icDMQZ2V4YkswYmRhfcYnLiTp5HWep6pnW2SdLCkUiepxt+xETtJvh0c345MqPKrp2zaNVvGriAFYJiihswD5FBkuCOOUVqCE8Cay/FkpKfe0vJ9G727SCAj3xeDE+uJDuE8tIYl4UKSSK8NFqJECk8AbZfvaKH2HBAxy4phCbkVQxMV9A7q1LLqUgMZLtex83bEJDffRlrtuRbs3AkWEGoJTgI7NGoCEz0infN6zlMj+2fVWiki61EnDmacGIiEYtbgximiITyR4TsWFaLo/b54uU5osiwOLCow0RKUhOO7ncAARUt44iswSDFz0ViGhUSVMTTRwOxZJ1zrRB23BSehvnc3fUatjAaVWoKTcNQGJlq/q1DfudFzUuR0dytmoxilpXxY3QF0Uzjiy+w7WNhN74LlvmQ7T7Qwc+AqitEFMnlXJDFkCEysCkv2pYTuK2Tlh5+16tm2nvBELS3BopZZJyzrRP+IURTFkUsJL126FK+++iouvfRSjB492u+5n3/+Ga+++ioOHTqEli1b4s4770Rqaqrqbefl5SEtLQ07B6YgpUpMpedlvwe9VlZ1dESv/h0tHVMzPqfTGsJI55zWECLcrQWDTYuNVHZFhCZWDiZFnItOPv9C0XpeuDUYCSSiTZI9LPFlxp0qZDtf7PpOw9W9gP7LEvR+Z3q/F6e1oSKJrvfsDEzChSXhgpJwIoUoodY/UROeaD0/1JwXkc4BN5X1/FIFjZfkIzc3V9O40Ak8Y9cGy39EbLLYhWD3XNDKlcdMK0eGJnv37kX37t1RXFyMa6+9FrNmzfI+t3HjRvTq1QvXXXcdunbtildffRWnTp3C+vXrkZSUpGr7kUITwH3BCWBup9bM26XJ1hmNRM9365TgxOwFwMKdd2bN3hDR6QikJTQxa5DhS9T56bRzUTZW1w1WtTPhyrboa/dFMbPNEinY92/W92pGSBKJGYPEQEbrLTcNKiORITBRUw71BiZ6g5JQQgUoRoITQPx5ES3BCUMT7Ria/MNxoUl5eTn69u2L4cOH48UXX0SfPn38QpMLL7wQSUlJWLRoEQDg+PHjyMrKwlNPPYXbbrtN1XuoCU0AdwYngNjwxKqOpxMGa0a/T9mDk1C3nRMdoOgJTjy0lG0zwhIPtaGJkQGHkcEoQxTruPnW2Wpv+SlrcAI4Jzwxg96+gNGgJBQt5cSO8ARwz+AykCx3yHFSYBIoWIBiNDwB1J8XDE4YmujB0OQfjlvTZPLkycjIyMC//vUvvPjii37PFRUVYeXKlZg9e7b3sYyMDJx//vn49NNPVYcmsrBynRNfRtY8sauDKfOCfKK+Q6eu5eIbpogIUMKtdxLpjlTByqennGspu2Z8D2rXYVFLzUJyoYheeDGQE8uxKG4OSTy0Tps3644RIhhdP8Np7JhNouV9RN6SNZCINjawXXLDQNPtgYnZYUng+/iGJ39nlOm+046H2gDayN0richhocmqVaswZ84cbN68Oejze/fuRXl5ObKzs/0ez87OxurVq0Nut7i4GMXF/wzs8vLyVO2PmQvDetgVnAD+HcRIjZUsFbHW+9Kb9d5mvofIzyVqoa9Qs0xCvU5UeBLq/PM9RpG+F7Vl166BvpHgJFDgdvSEKCLOdRlnXZkhGgISD7WD7XBlWebLdQB9AatMRM4itSooCfW+asqJnu9L9A8wvm2U0wIUs/q3TgxMdidkhHyuYclxVdvwfU81wQlwev+1zDqJFKCEOyci9S+5MCxFO1tDk2effRYrVqwI+5qXX34ZderUwZEjRzB8+HDMnj0bmZmZQV/rCT6qVavm93j16tVRVFQU8j2mTZuGKVOmaNz76OLETmK4hllNh0jWAY9TZ5z4EjX7RM1ddrQEKJH+3mzBZpsAYoMTX3pCFFGzUIyI9D3acX7YuT6IHd+BWTMS9AZ7VpI1PDFzXTKzQhI1t30PRuusE0B7eCK6HnHKLBQzfwx0WmASLiwJ9hq1AYrW4ATQfpedcAFjqFknDE6IQrM1NOnRowcaNGgQ9jUpKaevy5o/fz7y8/Px8ssv4+WXXwYA7Nq1C/n5+fjzzz/x8ccfIy3tdGV8/Lh/pXX06FFkZISu+MaPH4/77rvP+++8vLxKs1XsZOdsE7dy+vEU2aET0QimZSaqnm0SSESA4rv/agMUp1EbnAQbhHhE6nQZDVFkGURadVmQ3QupRnpe5PdhdEBu9DIzmcMTQK5jbZQVs0jC1VNqB4laZyZpvTzB7Mt+jYYTIgevVtwJzEmBiZqwJNLfRQpQtAQnQOXPpDZECVWHMjgh0sbW0KRdu3Zo166dqtcOGDAA9erV83vshx9+wLnnnosbbrgBMTExyMrKQo0aNfDDDz/g4osv9r5uy5YtaN26dchtJyYmIjHRnLt9EJlFtuBEBCsDFDuFC0JDzTYBjM840drp0rpYpyyzIEJxWlhqdPCs9rJKswfpIgbhss9AsTvo0MOOS2zChSXBXqu2jjJ71gkgX+gua/sWjJWBSSAtgYnesCTStkIFKFqDE1+hzqVQ50ywkFFvcEIUjRyzpklOTg5ycnL8Hps8eTLOPPNMDB482PvY8OHD8frrr+OWW25BRkYGVqxYgU2bNmH69OlC98fqxoqzTSgYNzds0RKgBBMpOAFCdxZr/B2remCiJUTRe7eTcB1fmQIVWVg5+Lbivexa+4LkOvZawpLAvxN9uQ5gLDzxcGvbK5rVgYnesiYyMAm1bTWX72gJToLx/fyB546W4CQcWX5oI3lVVFTghhtuwM6dOzFv3jy/MfzBgwfx9NNP46effkK1atUwbNgwDBkyxO/vN27ciLfeegvbt29HvXr1cMMNN6B3795Wfww/jglN1Jo6dSq2bNmCpk2bolmzZti4cSMefvhh9OnTR9h7OGnwRe4n6lcwo42gkUt0IhEdoPjScz6rWUslEjV3+gnXcQw368TTUdLaeQzX2fIl6naxTllg2gpOnKkQiUyDdjeT+TjrHcDqoedSLiPr09i58LwT6P2hT2RgonaWSajA5HelfsR9AYAmMftVvW53QobmhWONCHapm9qAkZfpkBFTp07Fpk2bsG3bNhQW/lO/HjhwAG3atEGPHj1w55134sCBA7j11luxf/9+3HnnnQCAd999F7NmzcLIkSNxySWXYMOGDbjgggvwyiuv4MYbb7TrIyFGURTFtnc3aOXKlahZsyZatmzp97iiKNi8eTMOHTqEFi1aaF6fxHOv650DU5BSJabS83aFJpxpQpGI6LgZaQTNCk2CEXEHHpGM1AuRzu1wnchIAyajgxati8/ZcdmEE8MVM0ISUWGWCFYM5O3+jFaR/TIaK1hVD4moSxig2BOYAPpCk2CBidqwJBg1AUpgcOJ7iY6HkdkmwfieQ8HOj2BlX01ZdlJwkl+qoPGSfOTm5iI1NdXu3RHKM3ZtsPxHxCanCNtuRWE+9lzQStMx+/rrrzFy5Ei8+uqr6NevH7Zu3YoWLVoAOB2mvPDCC9izZw+qVKkCAJg3bx7uuOMO/PXXX6hatSry8vIqvdcdd9yBlStX4ueffxb22bRy9EyTvn37Bn08JiZG9VopWtk5y4SX6FAkImadGPn1wMzZJoFE3YFHlMBjpqWuiHRuG71cBzA2PT5wW+EE2w+zB7dWLIRqhB1rhtgZoFg1yJf9FsV6WB2QyBaOhKL1DiJ6FxAWcWekaJ2BYrR/KjowCaT29sJGAhPfv1c7+yQUT+ATKTwJDIbUhC2iZpsAnHFC/o4dO4YRI0Zgzpw53pu5+Dp8+DBq1arlDUwAICsrC3l5eVi3bh369u0bNJxJS0sLeydcKzg6NCF5yL4AZLQx2mlzSnDiIVuAAmi/hMdIcAJEXiTWaHgS7G+1DmCCMXPQa9d6KlZdaqN2gG1lgGL1oF+m2TVaWXWsnBKMqKE3PAH0r8XEACU8ET/mmVFnBoYJwQTOMlETmGwrbgIAODfx97Cv+12pbzg4AUKvcRLq8xldE4UomLy8PL9/h7qJyujRo3H11Vejb9++2LhxY6Xne/bsiRdeeAFff/01evbsibKyMsyePRsA8OeffwZ978OHD2P27NkYNmyY8Q9iAM8qh5Fxtkmoxk7ELzZknN7ZJ57Bvp7wxI7gxCPwfe0OUQp2FwgNToDQ51ykWSeAtoViI9E6CyUYGQMVQF29Zdc6JEYG22bNBJJhXQ2ZAxS7b+PrNlrDE8D47BOAAQog9lJxLXWokVkmongCE89/RwpORAmcdaImEPKl5jwxcicdzjaRR42DtRFXTdylR+Unq2EPUGmpi0mTJmHy5Ml+jz333HPYvXs33n///ZDbGzp0KO677z7069cPZ599No4cOYLBgwcjNjYWpaWllV5/8uRJXH755ahTpw4effRRER9JN0evaWKWcGuayLAIrFWhiRkDAgYo9tPTWdPbGNoVnERiR5Cipe5Qc45HOj/VDNLM7GjqDVG0kG1gbDarg4lIx1eGoEQtt12iFE0BiRp66hsRZUJUn0bmEMWsPqfZgYme9UzCzTTxDUyAyDNNgOCX6ARbCDbYmiZahZtdEuz8ULuuCaC+fMoenETDmiZt5h0SHJrkYcuI2ti7d6/fMQs206Rt27YoKChA7dq1AQAFBQX44Ycf0LZtWwwdOhT//ve/va/Nzc3Fjh07kJmZifLycuTk5GDRokW45JJLvK85deoULr30Uhw8eBArV65ErVq1hH0uPTjThPyY/cspZ5/YT8/ME72/Itg54yScYPtkdpCi5XIdNTPKjF6uA4iddRIo1HZFhil2zVKxkp3BhJNCkUgCP4vI8sGAxH5qb03sS8TMJDNmoQSjJ1SRbVayL1GBiZXOTfxd9aU5VrLiUhw1s00Azjhxs9TU1IhB05w5c1BQ8M/3/9tvv2HMmDG499570aVLF7/XpqWledcfff7555GUlITu3bt7ny8qKsJll12GAwcOSBGYAAxNNBNxq1FieCIDreGJ3st1ZA1OAlkVpKi9XCfSLYkBcZfrANYNzNS8j4hgJdRnlj1MkWWA4HayH2ezz0et0/tDkWntBCOXC+q9dMeXqAAlGJkDEC20/jCn9+5wast3w5LjfrNNmsTsDzvbREtYonaWCXB6Foye2SYynX8eDE6iV5s2bfz+nZSUBOD0DJQmTf6ZqfXKK6/g5ptvBgBs27YNjz76KO6//35kZJw+F4uLizF48GDs378fK1eu9M5csZt8Z5tDaFmnwCnsuD4/1DWUZB094Ylbg5NAZq2PInKdE0DcrBNAjl+1zZylYuaMA61kH7iTtUSce6LCEDPez8oBnp41TwBx6+Lwh6F/6O1b2lU/RgpO1G5DFlZcKkukxR9//IF69eqhdu3a2L59O+6880488sgj3udffPFFfPbZZzjnnHNwxRVX+P3tmjVrrN5dL65pEkS4NU2CsTo8MeMXB7sWNAzEDob9tEwD1vNrghPDk0CiwhOr1zkBzF3rJNQAyuzBkhmdQjPCFLvulsJOs7xEn2tOJnM9YbQ+iLa+jZE+pdp6Mty5E+z8CHfL4cC1TQB9tx4OF5aEmmUC6FvTRO35EqrchyrT4cqq2f1Ds3FNE+08a5roOWYFBQXYsmUL2rVrh2rVqvk9d/ToUfz55584++yzK92aeN++fSHvpNOjRw9N+yASQ5MgtIYmHlaGJ3atXm6HaOtsyMLshb+cHp4wOPmHkQGcWQOlaA0KIn1v0XpcZKMnLHFjUKKGGXWE3vNAVJjqpn6NyD6kiMAE0B6aAMGDEyByeBJpVkm4sMRDa2hiNDABzA9NAPmCE4Ym2hkJTdyGl+cIxPVOzKGlQXZKR8SsoErk51d72Y7b1zoJJfdwseV34RFxqQ6g7nIdq4QbCBoZLEXbbAu1g3C9ly2QOFYFkkDkgaIWIu7woUfgMRARouhd/0T05TuBZO3DmP3jmpb2SO/srKz8irDnQ+D6Jh5GLrVRE5hoZec6JmoXhPXg+ibkJgxNTOC09U7UDLKcQu/nENVRsfs4qn1/LZ/XzFXTPaGDU8MTEcGJGfWFiHPazDvrqCXycp9gn8XJwYHR78bIopmkj5lhichwxOh7mB2uiA5RRAQogJhZKGb3Yezuo/jSE9yrOYeMBI2ekCPUrBM924pEy/mipazrrdcjrTXI4ISiFUMTk5gdnKj5xZnUk6kjYYVgnzdSIwmYO+sEcGZ4YnVwIurcl2m2iVaiwhQnBClWBFecfWI+MwITK4ISPULtl1lhisgQRcQdeDysXGTaCX0Yo+2NlSG+b+ChJUAxY2aJjBicUDRiaGIiJ804cdNsE9JHze0SrQpPAGcGKFax6jIdM2abRBroGRlYiRg82Rmk2D2zh+GJOUQHJnrCEqO/nIsYDIbbb5GBiqgQxeglfsHqVtlveS6KyEDeysvZgglW9j3nk9HzwqxZJlbQE5x4MEAhJ5LrDCQiKUS6XaLZ4Qng7NknspDpMh21Az2Rv1KbNXgKR6ZbN+vFS3fsITIwEXF5gZbtGR08BvtcooIUWUIUIHyYIHugYuXMRNkXShYRIpp5GZvRejvSJToeWoMTD848ISdiaGIip8wyIbmp7aiY0eFieEKyCBxU2RmihOPksCSYaFtQVyQ7ZpiIDkvUCvW+RgaXZgUpMoUovpx6uaQoRurOaL2zlJm0BCeA9jvrGOkXEtmBoYlDcT0T5zKrY6R1u1pCFpnCE4ABikhWrG2i91aPQOhBl1NCFLfhJTzqWH1Zm56wJNKtVEPRcjcR0WGKGeulmLlGEsBzJRhR54dTwxKzbjGsRVHdhIj9QLXBCWBs1gnA8ITkxx6iCTjDJLo55deiUPsZrhGVITwB5AlQrL7lsBMZHewFPq8mRNE7gHJiiKJ10CDqMzE8CU3rgDDSdygyMNEblKjZhmxhitFZKcG+F1HrJPly0zlk1Uw7p4YlgByBiRZagxNA+6wTgGuekPzk7xE6hJVBiRmzTLgIrDZOCUb0UHMHAFnCE8C+AIWBiXF6fh33/RszZ6EA4gZNRokcIHi2xfBEPDPWYRAVmOgJS7YVNwEAnJv4u+730BKkAME/jxtnpfhy2yV9ZjFaD8p6tyk7qZltAkTu8wUyEp4ADFBITgxNdLJrNonTAxM71+fQyopgxIrOkqjrrK0ITwBxAQogPkRxWlCi5tw2Ws7DdWTDdVIjDfbUDMDUBCiB+2HGr8/B+A6iZPxVlOGJWLIGJlrCEk9IovZxNWGKWUEK4IwwxcPu2QJOJLLelCUwMXPxV73UBieA9eEJUHm8xRCF7MJaPAJZLrVxYlhiZDDmppkcdv+KJOo6ayvCE0Ds9a2hQg61YYpVIYnWesbKNY3sKL+hBnq+j4sIUADzOrEyBiXBmBGeRFtw4vTAJFQooufv9AYpgLgwBdAXqJh5S2Q9YavTyVAHyhKWyC5c/y4YO8ITj1D9JYYpZDb31M4mSM6295IVswZGMoclTmbG4NLM9Qr0hikiwhPAutknwcgyY0RPKCuyXrDrXA032FE70BMRoADm3urUSUSGJ9E060T0+iWA8cDE7LBEyzbVXtoDiAtTAGcFKr5kCBqcjCHJaXrDay2zTgD94QkgJkDxpaY/VVFcASBf6PvKJvWvJMRXTRK2vbJT9s/8lwVDE4mY/esxwxKxRIQkojtIIq63VnsbRSPhCaBv9gngnl8TzJ7FJuJ8j1TG9V6aE4reRSo9fxdscOUZPGkZKFk1G0VGosMTNwcnTg1MtIYluwrODPlcTvUdut7LrjAFiHwMtYYqauu6aKpHrOK0kOT/tXfn8VHU9//AX7kPIAkECJBwCSIiiCjigTdE5duKCF9btQICHmDRKtafWkuBfttqETwQRS2erQeHWBA5BLwCohIEiVoVMRIgGJAjS8hBjs/vD7rL7maPOT4z85nd1/Px8PEwu8Ps7M7OzHte+zl2t0q07XtgNLzW2+oE0B+eANYGKERWYGjiIDua2FsZlMRTSGI2IJERjpgpzMwMaOn/3kNdfLWEJ4CcrjtAbAQoRgMTrecMO8YyMcrI4K9ayQ5PvFRpjWL2BkHPNvufM8wOchmLwYmea4KscNxsYCIzLIm0TLQgJdy26AlSgOjvV5VQxUv2Db6Mc5DbQger6Wml6BZmWp0AxsITwHiA4sUghVTD0MQmdo1BwJDEHFVaj5gpZLTe4Bm5KYoUoES7wMrsuuPlxgBFhcBEC7tbmcikJTwBzBXFVgUpVn52RlvQmG19Emvddawa58fowMlOhCV6/r2WEAWIvp2yQxUvmWOp+LP6ptvp82ysCd6vZoJ2mfa1bjDd8s/MOdi/9rcjQPGSOQ4KkQwJQgjh9EaoxuPxIDs7GxUTOyArTfsJxs7BGb2sCkliPSCRWfTaNQ2e3l/ow13otdwo6blAR7oIR7rAarmImr1YqhSkWB2WANrPB9GOb6sCExljmRhp7h/tpsjpothpesIes8W724MTK7rkAGoEJmbDEj20Bila6A1TjDLackUvJ89HVrYEBNQ81+p5z7K230jALnOQYLPnYTMzXBoJUPyZqQs9dU3Ie+YnVFZWIisry9R2qMZ773rRI5VIzpD33hpqPPjo3uyY/Mz0YmgSgveLd/jhXshKT3J6c3wYkJzg5Iw0KoUkwQVzuKLOTIACaLtYGw1PAHsCFC87gxSz45a4LTABrA1NtNwAmglPADWLejvoLeLjMTxxU2CiNSyxMyjRQmaY4s+uYMXLroAlnoU6V1sd+kR7fT2cDk4Ad4cnRnhqG5Fz/3cxGQAwNLEeQ5MQnA5NYjkccXr6Xb2c6GoT7qJvZJDMUIWb1QGK1eEJYE9zTW+4Eir4CBe8yBrcVW+rNVljmFjZJceOwMQr2g2Snhsa1UMULTcJet6DneGJm4IT1QITIPxxE+1YkRmUVHs6BPydmfWTtHUHsypQCcfuoMXLrsDF6MDbMsRaqGT0OmG0S6dq4QngjgCFoYl+DE1OYGgSgp2hiRUBiZ3hiNtCkEhkDdZnpJ+xjG4L0QQXKZEu8jIClGgXYVkBChA7fV6tCEsA84GJmdYlgP0DWALabnj0Fu6qBChmfk3V+h7YZeeEWAlMrAxLorEyTAHsD1QicSpsiUVuC1eMXCPMjIUVa+EJYG2AwtBEP4YmJ3AgWIu5eWDWWApE/Mmc5tfMQGxW30gGF27Bg2NGGhDT+76iXcwjDRBpZtYdQN8gYsFhg5tCFCNjIek5rzjZHQeQM0WqEd7jI9INTKQBY0MJfi92hCiym5trHQhX6zkAiO2BYp0Y9DUauwMTvQGJ1nXIDFKivT87QxUjIW8wGcGLjO2wS7j3a9UMSVYxM8W9kfBE5hTxgJxzsdGBY72C6xsnuvEQhcKWJiHoaWliZSjiZUU4wkBEP7Mj1Wu9+ZHRTz1YqIJET9cdQI3WJ4DxC6hKQYrRQaNlhiWAudYlgH2BiV03ITILcD1Fs5398INp2c54HO/E6DXS6uPG6sBERkAig9UtU7RSqQWLSoyGcEY+T5ktd+wOWexueQLIC1Bkn4fNtkDxZ7QOZEsT/djS5ASGJiF4v3iHXhmArEz7xjSRGY6oFIpYGWRYxa6AxMuK7gnhBBcgesMTwPwMPFouxlYGKMGMBip2zJilN5i1euwSwHxYAuhrYWLl9z8U1X69tIPsbjsyCnenwpN4CkxUCUm0UiVM0UqV0EW1AX8jifaZqdL9yerunTKmsFfxPCwzPNHLU92I1mO2xGQAwNDEegxNQrA6NJEVjtgdjLgx/IjGbDgCmPuV2M6wxJ+MlieAnOmLZQUoQOw047QiKAGsD0sAtQMTf7Ecnvh/vlYMemvneCeAfeGJmWuqjMAEMDYQeLhjJNKNstvCkmjcFqbEExmDBWsJn5wMU6weXFyF1idWnYftDFEYmujH0OQEhiYhyAxNVA1IYjEACUdGMOJlthm9Fd0RwhXGRooMvVMW+1MtQPFSNUiR0bXPbWEJoEZg4qWnyFY5QNHzmcqcdjlWwhOz11cGJmpjoGKM09+TSPtNTwselaebtrv1iapdd/xZGaIwNNGPockJDE1C0BuaqDbmiMqBiMwAw2oyxhmw4gbRTDPbUIWG1lYnXjICFC0Xbq0XZVWnuVNh6nArpxD2siIsAewbxNBMQW1HkGLVQLnxHp7I+iEingOT9H2dpa3LX237XZas12qqhjNOhx+yhPt8jXaBsiNM0XqNsHJa+FBkzrpjV0tAGWEKQxP9GJqcwNAkBO8Xb++7g5DVwvoJhqzsPy2Lm8IOvWQOwmjkBseOsCRYcJERrngwG54A9gYogLP9ZWUyGsZqOZ/Y2bIEUDcw8adKP3k7uTk48af1/OBUi01VxjExcvNsVTBihFvDFAot1HdLyz6OFk7ZNY6M3muGzPOtlyotT7xUGMQ7Es/RBnS8/LOYDAAYmliPoUkIVoYmTgUksRx6aGHF7BRmfgF2IigJprXVCWBPeAJov4AbuTCrHKaYba2m9bxixwCv/qwMEYMFHytmCud4C1BkFfN2z7LjpFgOTFQKSiJhiCKXqvs90n5WJUDxF+36YUV4ApgLUKw4F6sYoDA00Y+hyQkMTUKQEZrY2b1GxUDEySk0ZZPRPF7GGCVWCFdQGAlPAGcCFC+zF2g7QhUnZsiyu1UJYG9YAkQ+ZhieaMfwRBsnAxNAf7ccLYGJqjfMRjBMOSGW9isQft9q7Rpld4gS6RpiRdcdQL3wxEuFEIWhiX4MTU5gaBKCntDEjgHkvFQa0DSWWDFmgN4bQKNBidZfD43+GmN1eAJYN4WpChdoWfSeZ6weZyEcu8MSQPuxI6NYViVECfeZebfP/3krmpAD8sMTNwQnMq/X0Y4tva1MjI5jEms31XazKqDhfgnPTMuTUOwIUpxofaJa151Q7K7TGJrox9DkBFeGJjU1Ndi8eTMyMzNxxhlnIDGx+UFXUlKCiooK9OnTB506ddK1fv/QpKG7vAPaqhYksRqAhCsao11crBo4MRxZ3Qm0Mjuom5HB1IyGJ4B1A5yZuaCrGqjY0UIt3sKSYKr0d3di3BYvWdMtx1OrE7sCEyMtTABjrUysvDHPLe+AA53UHBiVwsstV2PQWC3fHdnhiVlary1mW5+4dcpivayo0+IhNBlydxmS0ySGJnUerHusS0x+Znq5LjR56aWXcNddd6FHjx7IzMxEU1MT3nzzTXTocPxEX1VVhauvvhpffPEFTj75ZGzduhUPPvgg/vjHP2p+De8X7+vPB6JVK2MnChUCklDFl1WzPdgdVDhBxk2OU0FJKDLDE8DZAMVL5X65Tk4bblUA69QAr7K6sDnR3101dv0C6tbwRPa13M7ABAh/7TAbmNh1c83gxRhVwg8ZIn0HZAwcayUr6ynA/tYnXqqcn/U6cqQBfc4sjskAgKGJ9VwVmqxevRrDhg3DokWLMGrUKADA5s2b0bJlS5xyyikAgLvvvhtLly7Fpk2bkJubizVr1uDyyy/Hhx9+iIsuukjT6+gNTYwM0ur0dJ7xzo5feVUKSCJxIjwB7LvYu/Xi7mV0EGg93fmsnAkHkHu82T04crywKxB1S5cdK374MBqYAM52y1HtBjzeghTVPn8nmA1OvFQMUJyopwB5AQrgnjqLoYl+DE1OcFVocuGFF6J169ZYtmxZyOeFEGjXrh2mTJmCP/zhD77HzzrrLAwYMADz58/X9DrhQhMzM9gwJAnkZNN0K5i5kbM7JAlHdngCuOOCr8LFXsb04UbGPHLTtMF2DpAczM4wRfb71LPtqrY6Aew7Tq36EUSVFiaAtsAk1m7UVQhaYu0ztVu0fWhmfBk7wxQj4QngjnrKnwq1VTCGJvoxNDlBvW90GLW1tdi4cSOefPJJVFRU4Msvv0SnTp3Qu3dvJCQkAAD27NmDAwcOoH///gH/9owzzsAXX3wRdt11dXWoq6vz/e3xeAAA+1s3oqaV/m3Ve/Oi5cZFzw1LrAUSKpFxQyMzJNHbxDpSUeHdruDiwfueQ13oow046f+9jXTB9z8GtF7wQx1nRi78MgILJxgdGNrKLjhWnHucDEuMboP3WFF128MV7d79F6543y7yoxbuO1NbRz2Gvd9dPcer9zi1qhC3qkWX0QFfAWsCEy1i8eY+Ft+TUdl70039+8qOtZK2RK70fZ0NByey6jIt4Uu4mkrL+ReIHp54zzl6wpPg85iMECXaOdWJUGV/60bbX5Nih6OhyRdffIFduyKf4C677DJkZmbiwIEDaGxsxPr16/HXv/4VvXr1wldffYXu3bvjrbfeQseOHXH48GEAQJs2bQLWkZub63sulIceeggzZsww/D6cDkkABiWROHnj4mRAEm0d4YqLaOEJEDlAiXbBB7QHKF5mghTAml9R7CBjxiwjA0U7ef5RIWgwy8r3EOqcovdX0khBKHB8f5op3LUW7WbCEy+jhbfZsFTGgMpOBCbRriMMF9zNbCBi1WvYFbR4v99OTTsdfPxFOjeXVvUwVUtpDU8A/a1PZP0oFYkjP1gdsf8lKXY4Gpq8//77WLt2bcRlzjrrLGRmZiI1NRUAUFxcjK+//hpZWVmoqqrCeeedh3vuuQevvfaab5nq6uqAdVRXV/ueC+WBBx7AlClTfH97PB507ty8sLD6l12nf9F1SizcJMkIR+yeYjBagBIuPAHMtT4Bmn/X9Vz8ATkFQDAnghWZ04h7mZlNy65zUCwc81Yxci6J9G+iFe1A+OM4UnNxWa1OgOPHgdHjz4nCm4EJOcWOUMQK2XvTTQcnemZkcjo88fI/Jo3WUmZ/iALM11CANa1RiNzE0dDkrrvuwl133aVp2bZt26JVq1YYPny4r09Vy5YtcfXVV+O1114DAHTp0gVJSUnYvXt3wL/dtWsXunfvHnbdaWlpSEtLa/Z4ectEZCoyToDd09pSINnjjtgdkEQTqcAwGp4Azb+3VoUogLEiwJ8VAYYd7ApJvNx0LrJqem6z7BzHSMsvn1b+4mllqxO7yRibzOiAr4A6gUmkG3dVu244xa0hhxXsDk4AubWW2QDGrh+itIx9YqYVilek86Gq5/Hylu6s80gNrhnTJCEhAcOGDcOOHYEnlB07dqBTp04AgPT0dFx88cVYsmQJxo4dCwA4fPgw1q1bh4cfftiS7bKy6buRm5N4DUlUGUzVn93BSLSiV0uhYTY8ASIPPKnl4g/oD1GA8Mei2TBFJWYCEi+7ghKnzkUyzwWqnFeinUv0FPPVng6GinY7W50AahXdsgZyd3NgovXmnyEBRSIjOHFK8HFkdvwUMz9Eaa2fjNZOTvwIZeacr/n1PBzThIxz1ew53333Hc4991yMHj0agwcPxqeffoo5c+bgnXfeweWXXw4A+Oyzz3DRRRdh3LhxOO+88/DMM8/A4/Fg06ZNyMjI0PQ63hGIX99/FjKzknyPG71hYWsS/VS5WdHCqnDE6qbSWkKUaEWBll/itc7eEW3k+GBaR5KPRKVARUYgEorRmbbcFJQA7jpnRCPjnKKloA91/JqZLQuQOz0x4Fx4InusMqPdcQDnZ8lhEOJeKbsrdf+b+oJsC7bkBLOhiQozIQWzauaeaPWTnrrJbM2kUr1kVLWnEde32xyTM8Fw9hzruSo0AYDS0lLMnTsXO3fuRJcuXTBu3Dj069cvYJlt27bhmWeeQUVFBfr164e77roLOTk5ml/D+8X7e+UQZGTpa4xjx6+4Mm9MYulGQzYrW4qo1HdcawESqSjQ2o1B5vSnocgIUiLRUjRYFX5oZWdIAjgf2sbCOczKc42R4NOO4ATQX4RbHaBYNW23ilMKA9qvQwxN3MFIQKKF7BBFRksTFYMTwHh4Eq2G0lI7OfHDk5dbApVvalvhvux1MRkAMDSxnutCEztoDU3sujlRbZpb1akyXohKwYgWMsITLytCFMBYkAJYH6Y4xeg5CHD3QK52jjEkcyBBp85NsRSc+DMbopgZx0jGLHiyAxPZYQnAwERVVgUk4cgKTmR3zVE1PAH0XzucbLkL2FsnyQpZ9P5IVeNpYGiiE0OTE1wzpomT7L4xYUhynCrhRzhWhSJ6ilSZBYj/+4lUiOiZthjQNnuHV7SCINTxpKU4CHcMuyVMMXMO8jI745bsoMSpc5Te84rq5yEt0vd11l3AhxscFtDXr17roM4yZnOwg4zZ8KzojiOrK44/1QMTLcGB1V1N7GB3QBJpG1T7PPUODGsnvTP4RBrrxCvamCdeWgfh92dnneR0i1yyx4oVK1BWVoZf//rXaN36+D7fsWMH1qxZE3L5kSNHon379prW4wSGJhH8IDoiVYSfqtifkzckKgYkbrzRsKtliMxCNNq6jIYqVgUogL4QBbAuSAGihxFWhyoywpBIVAlKnD5HxdL5yOgNQqTgJNLgsNEGdo52rGkZJBYwF57YQUZYAjjTukTlsMTqQMCpwMFIuKBCOBJNyu5Kw8GJVQPAer/fqocngLYARU94AmhrfWIkRPFyuk4yy3/7j4ljDm5JfCkqKsJ1112HI0eO4IILLvCFHYcOHcLWrVsDlv30009RUlKCq6++WvN6nMDQRCezNyGA2gFJLN1cOE2FX+lCbYPewsVIgALICVEA/a1RAHNBij+rQw3ZnD4/+XM6KAHccz7Tcw7TejzqZXVwAtg3FaYsen4N1XKusDMwcSooccONvx1i9XNQLTAB1A1LQtHT+kRLeALoD1AAeTUS4L46iax38OBBjBkzBn/9619x5513Bjw3cOBADBw4MOCxM888E7/4xS/QsWNHzetxAkOTCL6p64HkOuOFhNmbDzv77atC1QAkFDtCkXCFl5kmssHbraeYCd4/VoQogPzWKED4GxajhYKTZIQjQOx0uQkWL+c6vb+wGummA8gJTgDtrU68nGh9orfZuNmwBNAfmKgUlsRqOEAnmO2SY1Vg4qawJJiR8ASw5kcmr1iqkchZ48ePx9ixY3HeeedFXXbLli3YsmUL/vznP5tajx0Ympik0q+yKt0ouCn88LK7ZYiZYjPUvzVa2DgVogDOBylA5BsaVYoFWSEJELtBCaDWOTCYledEWf36w7U2AbQFJ0D0Y0ZPqxOvcEGG2TDFTL96J8ISQF5gYuZ6x6Ak9qk68Cvg7rAkmNFxTwBtA8eaqY28tNQfbqmVGuqsa/EU6zweT8DfaWlpSEtLa7bck08+iYqKCvzxj39s1g0nlOeffx75+fkYNmyYqfXYgaGJBipN8WvnTYHKwYcKXV+0sLO4lBWkmOnSE+o7o1KQAsj55SWUSEWDzNDDCAYl0al8vtPCjgERowUngL5WJ4C5/vBODCaotSm6nYGJHVMHMyiJDzIHeo2nmXLM0jvuCaC/q7OXjCAlmNM1Dp3QtGcnmlJbylvfsSoAQOfOgdefadOmYfr06QGPbd26FX/+85/xySefIDk5esRQW1uL1157DZMnT0ZSUpLh9dhFnS1R0M6j3ZGYmKn736kYjKh6Q+CW8CMSlYtJq4IUM61RvMIVQOG+/6EKiXDHmlWtUiJRoWiwcipglYISwNx5UtXzoR2iddGJ1NoE0B6cAPpnbFB1QEE9ffatCEsAc4GJkeusytc1f027SzUtl1jQ3eItcTeVW5YAsR2YBDMSoADGQxRAW+0go06yW/D7ajpa7dCWuN+uXbsCphwO1crkd7/7HQYOHIg1a9ZgzZo1KCsrAwAsXLgQ+/fvx6WXXhqw/JIlS1BZWYkJEyaYWo9dGJoYpEJ3GhUK/1gIPSKxs3DUWvyFoqcglBGkRNrvZlqlAPrCFKsGmwXULxCsDEi8VApKYuF8aTU7uukA2oITQF94AqgVoOgd3FBLaCozMIn2fXZbUGLm+idj/fESqsieMtjKAV6B+ApLQjEaoADGflSKxGjNIaOWsqPeociysrICQpNQLr/8cuzatcvXnWb//v0AgG+//RY9ejTfh88//zwKCwvRtWtXU+uxS4IQQjj26oryeDzIzs5G+60rkdiqhen1GS327SjyYz30CEeFX9GsLBJlFICyiysvo0WWluJJT1FhtHAA7AtU7CoUYikc8RcPQUkwWceJluNDz3Fgts+7qtN/mw1LAPndcbRe12VdB60OPOwWKwGKVddwL86I4zwjA3tHY6Y2Ul3VnlbYd8YwVFZWRg0A3MZ773rpr4qQLLF7TsOxKry/8EJDn1lxcTHOPvtslJSUoG/fvgHP/fDDD+jZsycWLVqEUaNGGV6PndjSRBKngxE3hB8qBBVOsbuo9H89owWgFTP3ANq+q6GKMS3jpZjp2iO7KauKnA5H7BqTKR7DEi8trU20zKITrbUJoL3FCaC/1Ukwlaa11NMVT7XWJWavw7EWkITifY9uCU+sDkeCMSxRh56aRyu9dYLTIYu+7T1q2XaQPi+88ALat2+P4cOHO70pmjE00cjJpuFumtUlXllZSNbvLon4fEpBv4jPB2+b2UIw0vdDVvGmdTBarbP3aGniqnegWZU5HY4A9s9kY1VQYvf51+rm7l5OBCeA+fDESbLCEkBuYBLtO2r0mh4PAUkkTbtLHQtO7A5CVMDARJ5I11/ZrVNUqDdITe3bt8dtt92GNm3aNHsuLS0NjzzyCFJSUkytx07snhOCt4lTl7XbkNiila5/a6Rwt7ooZwiij1OFYrRwRItoAUooThSFMgpCLTeXsrv0AOoEKaoVKk5N9ysjLFG1pZ6ZAEXmd1/rd95otzWVAxS9AzxraYUmqztOpO+t3ut+vAckkdh1jVQ9KGELk/hjRfcfu/mfV5uOHkHZ0NPZPUcHM91zYg1bmhhgtEiXXZgzDDFHhSJRRlASbn1aAxTZLVG00PrdjVRE+h9P4Yo5LS1Rgm9UtPz6HszqIEWlgMSpcCSYm1rvGeXdTqtuVrS0NgG0tTgB9Lc68QoOJpwMUYzOgmUmLAHkBSZaz60qXP/oOJXDEg70Ko/Ra5aTn5Eq13siFTA0iaDN3jwkZepP1WQV5E6EIk4VUlbeqKtWHMoOSqK9jt7WJ+E+LydapGid6UfrlMhWhCiAsVDD/yZUpVAEULtQUiW0tlP23nTbuu2YZTQ48RcpuJAZqJidJlzP2EayAhMzYYlq10K3sLKbjoqBiR3nmlgMS6zqImpkvbH4+RI5jaGJCTKKcLuDEVWLJlW3SwYrQpLqneuQ2XWIrtc30nXHn4x9JKPw9D9mwhWcMsdEMRKiaGF1UKJy8KGXakFJ8HnbjhsfvcGJ1umHZbc2AU6ECVbMMmU26JBBVlgC6Bu/xGzrElKLKoGJ3YFsrNzQqzzguBtbtcgQ7X03VmeizKZtodjD0EQDt7UcieUAwg1khiTVO9fpei5SkGKk645skb6bRgIVPTevWlqj+F9wzQwq64RYCkkAZ4MSvedqvcurcrOkl57gBLA2PHGC3lmzVAtMvOdY1gjOc/Ic4FSrNbffkANqByUyxPr7IzKDoUkEWT+lIznDWAFuR0DCwsd5sluRRApJ9Pz7aK1QVAhQglkxTbKZEMXJVihaxVpQAjgTltj9S7339fTeOKnQTUdvcAIEhg1uDFDsCEvs5H9+dUMdYeY6q8r1zZ8TgYmT5w2GJeQk/9qgoeaYg1tCbsfQRAKrC24Vihqz097GCqvGIzEbloRan97uO4A6+1HW4LRGQxRVW6E4fbNlBacGdFWhS0PK7kpXtjoxEpx4uSFA0RuS+DPT7c6JGzMVAxSZ11kVr292cjpkdXtgwrBELW4em4zcj6GJAVYW23YXLbKKk3DrcWuRYtdgrbLDklDr1hqeAOruR5khipab1GizlmgZLyJUwGEmSImVwMTJKYJVCEqC6Q1OrGhtonVcE39mghOvUOGE3UGKmYAkmJbAxMhxHOn77v3uyPhuO919x+rrbv3uEsevZXZiYGJOLAcmDB+I9GNoEkUstiKxKxAIfi0VixU7Pwt/VoYloV5LT3ASSvDn5PS+NBOiGO0aEUzrQJv+It0whbtpdVNYYnWR6XRYYuUsGlbQ8x11KjgJFi7EMBumyAxHgmltXRLpWDZ77Lg9PHHqWqyV2459pzEwsQfDDyL7MDSJIKW8EkjTP+VwNLEelETbBhk33Cq8H6PsDEysoufztzpgMVLIaglM7P6VTkY4orfQ01PYOllE2t0NJ9I5OtRzsXIzZTQ4ASA9PAlmZehhhozARCY3hiduuJ7HyjFuBzcHJiqHJQxIzEnZXYmEOo/Tm0EuxtDEJrHa3NUIFbfJarEQlBglMyzzMlrAyh4/wkhrEysYLfRULhABtcKSaP/OzE2VW8c28WdXeKICq6cLD1bZsVb3seD/fTIboFgZnrihHpAZmLj9OI9GheuhUapeDxmW6KNiN1yKDQxNLBavrUpInaDEbNccs1QISwB9xaqeViZOBSeqFngymC0SjRZNiQXdDZ2zVf4V2u7vp3+gEGsBitGwREYrEyPBiZes1ieyB421u1ZxulupnZwez8RNVL6Wqh6YMKCgeMLQxAIMSuKTKiGJP7sCEyuLUbM3pHp/2TNSbHqLLjtuTlUu8MySUSDadWPo5K/PVk497L3BlzH7U6y0PjHTskRmtxwzwQlw/Hsm6ybHaMDoFKPXKLYyiV2qX0tVDEwYkqivvvxriOQMaetraKiRti63Y2gikVtnviHjVAxKvKwITOz8pc7usESG4CJMVoiienFnlorFIWBPCxKj31M9wYmZQYtlhieAuwIUs91wrBjHxLvPnW51Ajg/244WZq5ZDEz0s/MHBL3cch1V8XrIsISIoYlpHF0+PqkclgByAxM3BSWAWsWpW4o0J1hRGMZLYWe0NZSRGxkjg8NGEhxEqBKiyB6nRG9gcqDTT7rOFzJanQDOhif+1xaZ9Y2Ma5abAxMVuuZY9QOC0dd3AxXDEiB+rqtE0TA0MciOsIQhiXoYlsgnqzhVKSyxk9ZCS4VCGrC2MJTZ/cBqRr+vquxHWcKFFTLDFLsHbjXawsRIcAKYO6ZUCE+A5tcbrfWP7OuU7NZl8XpdCubGEMMuqoYlAAMTIn8MTXTgtHvxRfWAJJiswETFKYIpkJEiy8pxMLS8tl3cFJzYTZXWJlrYHXSoQm9wAsgNTwA1Ztuxe9BWK65LTgUmTp7rSRuVgxJ/vJ4SncDQRIN4nWYvXrktLAHkBCYqD+YaiezCVOWC0y2FFuDstqpe6Dn567OZ4ASQM8ZJLJMxjomR4AQw32XHS/ZsO6qOeeKm65JeKl/H4o2brttEFB5Dkwia9uxEU2pLaetjUKI+twUm8RyWAM4XpnaQWXB512VFMa1aYSiz24EsMr6vTt8M+YcCDFACyRz41Uxw4mX2mJTV+iT4OuBUiGJXK0dVrktOnyviiWrXPyKSj6GJxRiUqMNtgYgdrApM3B6WOF1sWl2AyQhP3FIkOt3qxIrvqtPfTy+2PrGW0eDES0a3HS8ruu/4syJIsbsrqCphiT//fa/COcPN3HLNk0mlHx2InMbQxCKxHJYEhw9WTG0rSywGJSqPXaLyFK16BRdIVhacThVj8VIEOtXqxKrvqmo3PwxPrJleGDAfnABywxNAboDi5eaxrlQMS0Kx85rmdvFybQwn1sISbyjbdKzK4S0hN2NoIpnKYYmMACGz6xCGJA6Q/Zm7NTBxUrwXUbHAips9La+lGqPjmkQTHBzEQ4hiVVjiz7uvVAtPgObf81i72YpG5eM8mmjfg1gLVXgNby7Wj1dVx1Mid2JoIolqYYnR8EDlQCQShiXauD0scXOBSmqxqvWJW76j3htwK8ITr3CBQiyEKXaEJcFktDoBrAlPvMJ9/2Pp5swtx7hZDBliSywdg9EwLCErMDQxSbWwxMut4YdWDEn0c3tgQmQFGa1P7L6Jkjmmif9NuJUBij+9gYMKIYsTIUkoslqdAHIHjY0m2jGi6g1dvAQkFHtUPaasxLCErMTQxCBVw5JYFqtBCeDOkMuJwCRldyWLWLKMngDF6e+hFYPBhroRtytIiURPYGE0YFElFNFKZngChO6KYWdLAz3Hk5GbQaePVyKrxWNI4sWwhOzA0MQABiYkixvDEqcFFwYshskKbvheWTmFtFfwTbkKIUokbgs/zJIdnvhzOkgJxw3HJpEV4jkYCYVhCdmJoQm5RmbXITHT2sTusMSqqYVVEK6IYGFN8cKO8MRL1dYo8c5/H1gRoHhF+46pEKoQuQmDEP0YlpATXBWaVFVV4S9/+QtWrFiBQ4cOoUuXLpg4cSJGjx4dsNwrr7yCJ554AhUVFejXrx/+/ve/4/TTT5e2Hd4bULY4sZ9/2OC2AMWJViVWhiVNu0uVHtMkVCHCIIVimZ3hiT+3tUaJdXYFKKGE++4xTKFYxuDDHgxLyEmuCk0mTZqEjz/+GC+99BK6deuGVatWYdy4cWjRogVGjhwJAFi4cCFuvvlmPPfcczjvvPMwa9YsXHrppfj666+Rl5cndXuCb0gZothL5ZYnKnS7sbp1icqBSTjs2kPxwKnwxIutUdRhZfcdPbR+FxmukGoYiDiLQQmpIkEIIZzeCK26deuGm266CdOnT/c91r9/f1x22WV47LHHfH+fe+65ePbZZwEAjY2N6NSpEyZOnIgZM2Zoeh2Px4Ps7Gxc+qsiJKe2lP4+AAYsVnAqQFEhIPGyqxuOGwOTUBiaUDxwKjyJhkGKc5wOUWRhyEJ6MABxDyvCkoZjVXh/4YWorKxEVlaW9PU7yXvvesEFzyI5OUPaehsaarB+/W0x+Znp5aqWJr/4xS+wYsUK/Pa3v0W7du3w8ccfY8eOHZg1axYAoLKyEtu2bcMf//hH379JSkrCZZddhqKiIqc2OyTZN7cMYdQKL6zm1BglDEuI3Cf4xlKVEIUtUpzjZBcemYx8lxm0xBYGIbGDrUrMq9n1AZISU6Wtr7HpmLR1uZ2rQpM5c+bgxhtvRF5eHjIzM1FfX4/nnnsOhYWFAIDy8nIAaNYNJy8vD1u3bg273rq6OtTV1fn+9ng88jfeYpFuohmouJcqA7i6PSxhSEJ0gv9NoyoBilekG3gGKtYI/lzdHKJooec7z4BFDQxGYhvDEnIDR0OTO+64A6+//nrEZTZt2oTu3Y/fsN15550oLi7GunXr0KNHD7z77ru4/fbbkZeXhyuvvBLenkZJSUkB60hOTkZTU1PY13jooYc0d91xo3A33gxT1KBKMBKMQQlR7FM5QAnGQMUeoT7LWA9SwuFYLM5jYBKbGJSQ2zg6pklVVRVqayNfkNq0aYPExEQcOnQIubm5eO2113Ddddf5nr/uuutQUVGB999/H/v370f79u3x1ltvYcSIEb5lxo4dix07dmD9+vUhXyNUS5POnTtbOqaJilQJUaKFCKpsZyiqBiBauDkkYUBCJJfqAYpWDFOsFa9hil4MVazFYMVdnApM4mFMk7O6Xi+9e87mna/H5Geml6MtTVq2bImWLbWFEo2NjRBCIDMzM+DxjIwMNDQ0AADatWuH7t27Y/369QGhyUcffeSbXSeUtLQ0pKWl6X8DMcYtN/xu2U5VuTkcARiQENkhe296TAQnnA7ZWuE+T4YpgaIdSwxVzNFaFzBcUYN/HcoWJ+QWrhnTpG3bthg0aBAefvhhnH322ejYsSPWr1+PxYsX4w9/+INvuTvvvBPTp0/Htddei7POOguPPvooysvLcdtttzm49UTOYEBCREY5PXWxFRii2INhij4MVewRrqZgmOIcPXUqAxZykmtCEwBYuHAh7rzzTvTo0QMAkJmZicmTJ+Pee+/1LfO73/0O+/btw9ChQ1FXV4f8/HwsWbIEvXr10v16ifldkZimvSkSD2aygtuDDy0YjhCpKxbDEy/vTTzDE3vE26CzsjBUsVZwDcIQRU1m6+HEOvdN9EHqcHRME6OEEKipqWnWVcdfU1MTjh49ilatWulev7df2JC7y5CsIzSxCsMY94qHwEMrBiNE7hSLYUk4DE+cwfDEGgxTzGOAEjsa6jxY91iXmByfg2OaWM9VLU28EhISIgYmAJCYmGgoMFGR2Rtvhi4nMMSwFoMRInIzztBDsSQ48GSIol99QTaDEyJyZ2hC+jAoIFkYihDFj3hqYaKFG1tDMOghf95jmuEJEZE+DE2IYhyDDiLSgiFJ7DEa9FgZtrgxfKL45q2j2OKEKH4xNCFyAQYfRCQDgxHSgsEGUXP+tRgDFKL4wtCEyGYMQIjICgxEiIjsEamWY6BCBNTU1KCurg5ZWVlITEz0PV5ZWYngeWgyMjKQlpYWcj11dXVhn7MTQxNyFQYORBTrGH4QEblXtFqVoQrFup9//hn9+/dHeXk5SkpK0LdvX99zubm5SE9PR3LyiRjioYcewqRJkwLWMWfOHMyePRsVFRXo0qULZs+ejauuusq29xCMoUkMYJBARGQtBhlEFCsqO9ZyMFgHGa3bGbaQGwghcNNNN+Giiy7CG2+8EXKZxYsX48orrwy7jhkzZuDxxx/HwoULUVhYiPLycjz66KMMTVRV3ykbIiO+56QmIvvxBp2IiKzEmXTcx+yPpAxdyA6PP/44ampqMG3atLChCQDU1tYiPb35+aeiogJ/+9vf8MQTT6CwsBAA0KlTJ8yaNcuybdaCoQkRkY0YiBARkSoYnsSPeG+Z3lCT4PQmxLzNmzdj5syZKC4uxt69e8MuN2LECDQ1NSE3Nxfjxo3Dn/70J1+A8u677+LYsWO49tprIYRAfX09UlNT7XoLYSVGX4SIiMKp7Fir6z8iIiLV8PpE5H6NTfVobDom8b96AIDH4wn4r66urtlrHzlyBNdddx2efPJJ5Ofnh93GyZMnY8eOHaitrcXrr7+OF198Eb/73e98z+/cuRPt27fHCy+8gJycHGRlZeG0007D8uXL5X9gOrClCRFRCCwgiYgonrDVCZE7paamokOHDti6a7H0dbds2RKdO3cOeGzatGmYPn16wGN33XUXBgwYgKFDh+Lw4cOoqqoCcDxMqa6uRmZmJoDj3Xe8LrnkEsyYMQOTJk3CE088gfT0dAghsG/fPmzYsAE7d+5EixYtMHPmTIwaNQqff/45TjvtNOnvUQuGJkQUtxiMEBERBeJAsUTukp6ejtLSUhw7dkz6uoUQSEgI7NoUagrg7777DiUlJejWrRsAoLGxEQBwxRVX4MYbb8TTTz8dcv29e/dGU1MTdu7ciVNOOcXXSmXGjBnIyckBADz44IOYPXs2Vq1axdCEiEgmBiJEREREFA/S09NDDqxql6KiooC/i4uLcfbZZ+Pjjz8OmHI4WHFxMZKTk9GxY0cAwEUXXQQAAV2AGhoa0NDQEDKssQtDEyJyHQYiRERE8rGFCRFZ5fnnn0dpaSlGjRqFdu3aYe3atZgxYwZuv/12ZGUdn7G2Z8+euOGGG3D33Xdj3rx5yMrKwsMPP4zk5GSMGDHCsW1naEJESmEgQkRE5Az/azADFCIyKjk5GdnZ2UhKSvI9Nnr0aDz99NO49dZbsXfvXnTv3h2PPvooxo0bF/Bv58+fj6lTp2LEiBFobGzEgAED8OGHH6KgoMDut+GTIIQQjr26ojweD7Kzs3HRI5VIzshyenOIXIFhBxERUXxj0EKqaqjx4KN7s1FZWelr1UCkFVuaEMUxBh1EREQki511BQMaIrILQ5MQvI1vGmo9Dm+JOZ4OvCGmKKqd3gAiIiIi/Q5mu7tOJ/myfgofpHnv69jJgoxgaBLCgQMHAAAfT+0cZUkiIiIiIiJygyNHjiA7O9vpzSCXYWgSQps2bQAAZWVlPKhinMfjQefOnbFr1y72b4wD3N/xg/s6fnBfxxfu7/jBfR1frN7fQggcOXIEnTp1kr5uin0MTUJITEwEAGRnZ/MkHSeysrK4r+MI93f84L6OH9zX8YX7O35wX8cXK/c3fwwnoxKd3gAiIiIiIiIiIhUxNCEiIiIiIiIiCoGhSQhpaWmYNm0a0tLSnN4Ushj3dXzh/o4f3Nfxg/s6vnB/xw/u6/jC/U0qSxCcd4mIiIiIiIiIqBm2NCEiIiIiIiIiCoGhCRERERERERFRCAxNiIiIiIiIiIhCSHZ6A1Rz4MAB/PDDD+jcuTM6dOjg9OaQBD/99BO+//77Zo9fcMEFzR77+eefUVpaii5duiAvL8+OzSMJDh8+jC+//BInn3xy2P22b98+7Ny5E926dUO7du0ML0PO27p1KxobG3HWWWc1e27Dhg0IHqrrpJNOQqdOnQIea2howFdffYXk5GT06dMHCQkJlm4z6dfU1ITvv/8eTU1NOOmkk5Camhpyub1792L37t3o0aMH2rRpY3gZctahQ4fw448/onPnzmjbtm3Ac42Njdi4cWOzf3PKKac0O1cfO3YMX331FTIyMtC7d29Lt5mMKy0tRVVVFbp3746WLVuGXGbXrl2oqKhAr169kJWVZXgZctaRI0ewfft2tG/fHgUFBQHP1dbWori4uNm/6du3L3JycgIeq6mpwddff43s7Gz07NnTyk0mak6Qz5/+9CeRlpYm+vTpI9LS0sSECRNEY2Oj05tFJs2bN0+kp6eLwYMHB/zX0NAQsNx9990XsP9vv/120dTU5NBWkxbbt28X48ePFx07dhQJCQniH//4R7NlmpqaxB133BGwb++55x7dy5Dz5s6dK/r06SNycnJEjx49Qi6TlJQkTjvttIBjfeHChQHLfPrpp6KgoEB07txZ5OXliV69eon//Oc/drwF0uiJJ54QBQUF4uSTTxY9e/YU7dq1E6+++mrAMg0NDeKmm24S6enpvuN2xowZupchZ3355Zdi2LBhok2bNmLAgAGiRYsWYtSoUeLIkSO+ZQ4dOiQAiP79+wcc26tXrw5Y19q1a0W7du1E9+7dRW5urujfv78oKyuz+y1RBEuXLhW9e/cWvXr1En369BGZmZli6tSpAcvU1NSIkSNHioyMDNG7d2+RkZEh5syZo3sZcta+ffvEmDFjRG5urjjzzDNFTk6OOPvss8WOHTt8y2zfvl0AEAMHDgw4tj/55JOAdS1ZskRkZ2eLnj17iuzsbHH++eeL/fv32/2WKI4xNPmvf//73yIlJUVs2LBBCCHEN998I7Kzs8UTTzzh8JaRWfPmzQt7g+X1xhtviLS0NPHZZ58JIYQoKSkRLVq0EM8++6wdm0gGLV++XMyfP18cPXpUpKWlhQxN5s+fL1q2bCm2bdsmhBBi06ZNIi0tLeAGTMsy5LwpU6aIkpISMW3atIihycqVK8Ouo7a2VhQUFIhbb71VCCFEY2OjGD58uDj99NMt2WYyZtq0aWLv3r2+v+fMmSOSk5PFN99843ts1qxZok2bNuL7778XQgjxwQcfiKSkJPHOO+/oWoac9dZbb4kVK1b4/i4vLxfdunUTkyZN8j3mDU02bdoUdj2HDh0SrVu3Fn/4wx+EEELU1dWJCy+8UFx66aXWbTzp9uyzz4qdO3f6/l63bp0AINasWeN77P777xcFBQWivLxcCHH8OwIg4EZayzLkrM8//1y8+eabvh8gq6urxeDBg8UVV1zhW8YbmpSWloZdz65du0RGRoZ49NFHhRBCHDlyRPTv319ce+21lm4/kT+GJv81fPhwceWVVwY8dvPNN4v+/fs7s0Ekzbx580T37t3Ftm3bxFdffSXq6uqaLXP55ZeLESNGBDx24403inPOOceuzSSTwoUm559/vrjxxhsDHhsxYoQYMmSIrmVIHdFCkxdeeEFs2rRJ/Pzzz82eX7ZsmQAgdu3a5Xvsk08+iXpDRs46duyYSEhIEC+//LLvsT59+ojJkycHLHfJJZeIUaNG6VqG1HPXXXeJfv36+f72hiZLliwRxcXF4tChQ83+zQsvvCBSU1NFZWWl77Hly5dHvSEjZx07dkwkJyeLl156yfdYXl6emD59esByffv2FbfddpuuZUg9U6ZMEX379vX97Q1N3nvvPfH5558Lj8fT7N/MnDlTtG7dWtTX1/see+mll0RycnLIcwGRFTgQ7H9t2bKlWf/4QYMG4csvv0R9fb1DW0Wy/Pjjj7j22mvxP//zP2jbti2eeuqpgOfD7f+tW7c2Gx+B3CXcvt2yZYuuZcg9fv/732PChAnIz8/H8OHDsW/fPt9zW7ZsQV5eXkC/6oEDByIhIYH7W2GbN2+GEMLXj722thb/+c9/Ih63WpYhNRUXF4ccs+C2227DTTfdhPbt2+OGG25AZWWl77ktW7bg5JNPDhjXYtCgQb7nSB2HDx/G+vXrsWLFClx//fXo378/Ro0aBQAoLy9HRUVFxONWyzKkji1btuCDDz7A3Llz8c9//hPTpk1rtsyNN96IG2+8Ebm5ubj11ltRU1MT8O9PP/10JCefGIpz0KBBaGhoQElJiS3vgYgDwf7XwYMHkZubG/BYbm4uGhsb4fF4mj1H7nHqqafi66+/9g0I989//hNjxozBSSedhGHDhgEIv//r6upQXV2NFi1a2L7dZF5tbS1qampC7ttDhw5BCIG6urqoy3CQUPeYN28eJkyYgMTEROzevRtXXHEFxo0bh3feeQdA6GM9KSkJOTk5OHjwoBObTFFUVVXhlltuwZAhQ3D++ecDOH7TJYQIedx696OWZUg9c+fOxSeffIINGzb4HktJScGrr76KG264AQDw/fffY8iQIbjzzjvx8ssvAwh9bHsH/eX+Vsu3336L+++/Hz///DP27duHWbNm+QaD9e6rSMetlmVIHY899hj+85//4LvvvsOQIUNw4YUX+p5r0aIFli1bhquuugoAUFJSgksvvRStWrXC7NmzAYSv0b3PEdmBLU3+KyUlBbW1tQGPeVPOcCP2kztcfPHFASPojx49GoMHD8Ybb7zhe4z7PzalpKQAQMh9m5ycjISEBE3LkHvccsstSEw8fmkrKCjA1KlTsWLFCng8HgChj3Xg+P7nsa6empoaDB8+HEKIZudsIPRx692PWpYhtSxcuBBTpkzB/Pnzfa1EgOM3Vt7ABAB69uyJe++9F4sWLUJTUxOA0Me292/ub7Wcc845WL9+Pb755hssWbIEkyZNwoIFCwDw2I5Fr7zyCjZt2oQ9e/aguroav/zlL33PdezY0ReYAEC/fv0wefJk1uikHIYm/9W1a1fs2bMn4LE9e/YgJycHrVq1cmiryCp5eXkB+zvc/u/QoYPv4kzuk5SUhPz8/JD7tmvXrpqXIffyTkFdXl4O4PixXlFRgcbGRt8yBw8eRE1NDbp06eLINlJotbW1GD58OCoqKvDee+8FTEPbpk0btGrVKuRx692PWpYhdSxevBijR4/GM888g7Fjx0ZdPi8vDzU1Nb5fmsNdxwFwfyvskksuwaBBg7By5UoAQOfOnZGYmBjxuNWyDKmnZcuWmDRpEoqLi/Hzzz+HXS4vLw979+71BaI8tkkFDE3+q7CwECtWrAgopJcuXYrCwkIHt4pkOHr0aMDfVVVV2LhxI/r27et7rLCwEO+8847vBA0Ay5Yt4/6PAYWFhXj77bd9Y9M0NTXh7bffDti3WpYh9QUf6wDw7rvvokWLFujWrRsAYOjQoTh69CjWrVvnW2bp0qVISUnBxRdfbNemUhTewGTPnj1477330L59+4DnExISMGTIECxbtsz3WH19PVasWOE7brUsQ2p488038Zvf/AZPP/00xo8f3+z5cMd2hw4dfM30CwsLsWfPHnz++ee+ZZYuXYqsrCycc8451m08adbU1NSsxUB9fT3Kysp8+zEzMxPnn39+wHF79OhRrF271nfcalmGnBfquP3++++Rlpbm644V7tju06ePr9VoYWEhtm3bhp07d/qWWbp0KfLz83HqqadatPVEQRwbglYx5eXlon379uJ///d/xbJly8Rtt90mMjMzRUlJidObRiYNHTpU/OlPfxLLly8Xr7/+ujjnnHNEp06dAmbPKCsrE7m5ueL6668Xy5YtE+PHjxetWrUKmN6S1FNZWSmKiopEUVGRSE1NFffdd58oKioS3377rW+Z7777TmRlZYmbbrpJLFu2TNxwww2idevW4scff9S1DDlv27ZtoqioSIwbN07k5+f79r13RqyXXnpJXH311eKVV14RK1euFPfcc49ISUkRjz/+eMB6xo0bJwoKCsS//vUvMX/+fJGTk+ObppTUMGzYMJGVlSUWL17s289FRUUB5+0tW7aIjIwM8dvf/lYsW7ZMjBgxQnTo0EFUVFToWoactWrVKpGSkiImTJgQsK/9p46dPXu2uO6668Srr74q3nnnHTFp0iSRnJwsXnnllYB1XXXVVaJXr15iwYIF4qmnngqYppScV11dLU477TTx2GOPidWrV4sFCxaIIUOGiLZt24offvjBt9wHH3wgUlJSxP333y+WLl0qhg4dKnr06CGOHDmiaxly1v333y9uueUWsWDBArFq1Soxffp0kZmZKaZNm+Zb5sEHHxTjx48XCxYsEMuWLRNjxowRKSkpYvny5b5lGhsbxeDBg8WAAQPEm2++KR555BGRnJwcMJsakdUShODUIF6lpaWYOXMmvv32W3Tp0gV33303+vfv7/RmkUlVVVWYN28eioqKkJKSgjPPPBN33HFHwAj7wPH0e+bMmdixYwe6du2Ke+65B6eddppDW01alJSUYNKkSc0ev+KKKzB16lTf319//TVmz56N0tJS9OjRA/feey969eoV8G+0LEPOuv3227Ft27Zmj7/11lto164dAGDt2rV49dVXsXfvXnTv3h033XRTs1+ZGxoaMHfuXKxatQrJyckYMWIEJkyYwPFrFHLBBReEfHzSpEn4zW9+4/t7y5YtePzxx7F7926ccsopuO+++5p1q9OyDDnnqaeewuuvv97s8ZycHCxfvtz399KlS7F48WL8/PPP6NGjB2699VacfvrpAf+mtrYWjz32GN5//31kZGTguuuuw/XXX2/5eyDtysvLMXfuXGzZsgUtWrTAgAEDMHHixGYDfW7YsAFPPfUUKioq0K9fP9x///3o0KGD7mXIOeK/Y1G9/fbbOHjwILp27YobbrghoFWnEAILFizAsmXLUFlZiV69euH222/HySefHLCuI0eO4JFHHsHGjRuRlZWFsWPHYvjw4Xa/JYpjDE2IiIiIiIiIiELgmCZERERERERERCEwNCEiIiIiIiIiCoGhCRERERERERFRCAxNiIiIiIiIiIhCYGhCRERERERERBQCQxMiIiIiIiIiohAYmhARERERERERhcDQhIiI4sJbb72FsrKymHvtt99+G6WlpabXU1dXh4ULF6Kpqcny11JRU1MTFi5ciLq6Oqc3hYiIiBTC0ISIiOLCLbfcgo8//liJ116yZAl2794tZd133HEHPvzwQ9PrmTVrFpYsWYLExPClgazXUkHwPkhMTMSiRYswe/ZsB7eKiIiIVMPQhIiIyGIjR45E165dfX+PHz8en3zyiYNbFOjw4cN4+OGH8eCDDzq9KbYJtQ8eeOABPPTQQ/B4PA5tFREREakm2ekNICIicsrhw4exceNGNDQ04Nxzz0W7du0Cnl+0aBEGDx6MhIQEfPHFF8jJycGgQYOatcbYs2cPiouLUVBQgP79+2PlypXo27cvunfvDgAYNmwY8vPzAQDvvPMO6uvrsWHDBjQ0NCAtLQ1XXXUVFi9ejMLCQuTm5vrWu2zZMvTr18+3HgAoLy/Hpk2bfK8VSl1dHTZu3Iiqqir07dsX3bp1i/g5vPTSS+jVqxf69esX8Lis14r2+RhZ76pVq3D48GEkJCQgPz8fAwYMQIsWLQKWEUKguLgYe/fuRe/evdGrVy8AoffBNddcgzPPPBNdunTBK6+8gsmTJ0f8zIiIiCg+MDQhIqK4tHz5ctxwww3o06cPUlNTsXnzZjz99NMYO3asb5nRo0fjsssuw3fffYdTTz0Vn332GQYMGICVK1ciISEBAPDaa69h/PjxOPvss9HY2IjGxkbs2LEDs2bN8oUCt9xyC+bOnYsuXbpgzZo1qK+vx6ZNm7B3715kZWWhsLAQ119/PTZu3BgQmtx+++34y1/+4lvPokWLMGbMGJx11lloampCY2MjqqqqAt7Xp59+ipEjR6JTp07Iy8vDxo0bMXbsWDz66KMRP4vLLrss4DFZr6Xl8wmmZb3r1q3Drl270NTUhO3bt2Pfvn3497//jbPPPhsAcPToURQWFmLv3r3o378/tm/fjgEDBuBf//pXyH1wzTXXAAAuu+wyLF++nKEJERERHSeIiIjiQG5urnj99deFEEJ4PB7Rvn17MX36dN/zc+fOFS1atBB79uzxPZaWliYuvvhiUVtbK4QQoqysTKSmpop3331XCCFEZWWlaN26tXjkkUd8/+b//u//BADx4osvhnxtIYTIzs4WixYt8v195MgRAUBs3LgxYJvz8/N96/F4PCI3NzfgtaZNmxbwWkePHhUdOnQQ//jHP3zL7N69W+Tm5oq333477GfTunVr8cILL/j+lvVaWj8ff0bfwwMPPCDOPfdc399vvPGG6Nixo2/fCSHEkiVLfP8fvA+8nn32WdGmTZuwr0NERETxhWOaEBFR3Hnvvfdw8OBB3Hvvvb7HJk6ciPT0dCxfvjxg2fHjxyMtLQ0A0LlzZ5x00kn49ttvARxv7VBdXY077rjDt/yUKVOQlJQkfZvXrVuHqqqqgNf6/e9/H9BVaNWqVThw4ACysrKwePFiLFq0CBs2bED37t3x/vvvh1xvY2MjDh06hNatW0t/LSOfj5738OOPP2LVqlVYsGABMjMzsXnzZjQ2NgIAMjIyUF1dje3bt/uW97YmiaR169Y4dOhQxFmEiIiIKH6wew4REcWdnTt3okOHDsjMzPQ9lpSUhG7dumHnzp0By7Zp0ybg77S0NNTW1gIAdu3ahY4dO/pCFQDIzMxsNjaKDGVlZc1eq2XLlgGv9eOPPyI1NRVLliwJ+Lc9evTASSedFHK9SUlJyMzMxNGjR6W/lpHPR8t6hRC4+eabsXDhQgwaNAi5ubnweDyor6/H4cOHkZubi1/+8pcYN24czj//fBQUFGDIkCGYOHEiTjvttLCvDRzv1pOZmRlxFiEiIiKKHwxNiIgo7rRt2xaHDh1q9vjBgwfRtm1bzetp06YNDh8+3OzxUI9F4r1BD27d4A1nACA3N7fZeoUQAY9lZWWhvr4e//znP5GSkqL59U8++WSUlpZKfy0jn4+W9RYVFeFf//oXduzYgYKCAgDA2rVrsXr1agghABz/TB977DH8/e9/x6ZNm/Dyyy9j4MCB+Oqrr8IGSABQWlqKU045JezzREREFF/4MwoREcWdc889F3V1dVi9erXvsc2bN6O0tBSDBw/WtR6Px4OPPvrI99jq1asDwo5QWrZsGbBMZmYmcnJy8P333/seKykpwYEDBwJe68iRI/jggw98j61YsQJ1dXW+v4cOHYrGxka8+OKLAa9XX1+P/fv3h92eIUOGYMOGDdJfy8jno2W9P/30E1q1aoVOnTr5nl+8eHHA8nv37oUQAqmpqRg8eDCeffZZCCGwdetWAM33gdeGDRswdOjQsNtHRERE8YUtTYiIKO6cdNJJuPvuu3H99dfjvvvuQ2pqKh555BGMGTMGgwYN0ryenj174pZbbsG1116L//f//h+ampowd+5cZGRk+GbXCWXgwIG+m/iWLVvimmuuwZgxY/DAAw/A4/Ggrq4Ozz//PNLT033/pkePHpg4cSJ+9atf+V5rzpw5yMjI8C3TrVs3zJw5E5MnT8YXX3yBM888E2VlZVi8eDGefPLJZjPkeN18880444wzsH//frRr107aaxn5fLSs9+KLL0ZjYyN+85vfoLCwEEVFRfj3v/8dsJ61a9fi8ccfx8iRI5Gfn4/Vq1ejdevWuOCCC8Lug4qKCnz00Ud4+umno+57IiIiig9saUJERHFh5MiR6Nq1q+/vmTNnYv78+dixYwe+/PJLzJw5s1nrhl/96lfIz88PeOzKK69E7969fX8/9dRT+Mtf/oKSkhJUVlZi1apVSE5ORqtWrcK+9nPPPYchQ4ZgzZo1WLlyJQDg0UcfxdSpU7F161Z4PB4sX74c48ePD5iWd86cOfjb3/6Gr776Ch6PB2vWrMGECRMClpkyZQrWr1+PFi1aoKioCCkpKXj77bfDBiYAcOqpp+Lqq68OCAtkvZaWzydYtPXm5eXh008/RX5+Pj788EOccsopeO+99/DrX//aN37K6NGj8cILL6C6uhofffQRTj/9dHz++edo37592H0wb948XHPNNejVq1fYbSMiIqL4kiC8nX+JiIhIt4MHDwYMFrt+/XpceOGFKC0tRbdu3ZzbMJ3Kysrw17/+FfPmzZM6CKpbPp+mpiZMnDgRU6dORefOnZ3eHCIiIlIEQxMiIiITZs+ejS1btuDiiy/GTz/9hCeeeAIjR47Ec8895/SmKYGfD4xTLPIAAACkSURBVBEREbkZQxMiIiIThBBYuHAhPvzwQ6SlpeGiiy7CNddc4/RmKYOfDxEREbkZQxMiIiIiIiIiohA4ECwRERERERERUQgMTYiIiIiIiIiIQmBoQkREREREREQUAkMTIiIiIiIiIqIQGJoQEREREREREYXA0ISIiIiIiIiIKASGJkREREREREREITA0ISIiIiIiIiIKgaEJEREREREREVEI/x8o2cBmgtn/ogAAAABJRU5ErkJggg==", | |
| "text/plain": [ | |
| "<Figure size 1200x550 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "plot_field(gh500 / 10.0,\n", | |
| " f\"ECMWF IFS 50r1 500 hPa geopotential height -- {newest} 00z, control, f000\",\n", | |
| " \"decametres (dam)\", cmap=\"turbo\", levels=25)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "22bcf66e", | |
| "metadata": {}, | |
| "source": [ | |
| "### The whole vertical column, for free\n", | |
| "\n", | |
| "Because the level is just another dimension, a profile is an ordinary selection. This\n", | |
| "pulls all 14 levels at one grid point -- 14 chunk resolutions, still no full array." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "id": "e3b3803f", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-07-16T10:33:35.810606Z", | |
| "iopub.status.busy": "2026-07-16T10:33:35.810532Z", | |
| "iopub.status.idle": "2026-07-16T10:33:41.919982Z", | |
| "shell.execute_reply": "2026-07-16T10:33:41.919391Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "14-level temperature profile decoded in 6.0s\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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THB0dMWTIEEyfPh0HDx7Exo0bH/iaq1JbQUEBfvvtNzRt2hTdu3fXua86ns+QHldkfaXdV9G6srOz0b9/f6hUKvz5559o0KCBQTWVuHjxIi5evIgRI0bofVaUqOjnlpWVld6egdDQUGRnZ+PWrVsG1yZJEgYMGKCzbMeOHQCgV0tQUBDCwsK091en6vp5VuY9WZpq3fXToEEDZGRkIDc3t1KPHzNmDA4ePIj169fjwIEDZe72KVGyG2fXrl3Yt28f7ty5o/1lDw0NhYeHB3bt2oWYmBhkZWUZfbdPaUpOF773VLCSTYMlu7XulZWVVWoY8/Pzq7Ya69WrV+qyrKwsFBcXP7CO9PR0AHd3Z9yvZFlFfpHLUrL588MPP4SVlRXkcjnkcrnOfAAltdwvLy8ParUaXl5eAID4+HhoNBq9zZL3346Pj0dAQECZNdnZ2cHW1haZmZl695UEnAcF6xdeeAHNmjXD1KlT9fr8IFOmTIGfnx++//571K9fX/tFOmvWLKxbtw6bN282Sn2mNnnyZCxevBhTpkzR2cQOVO21PWi9wN3fTwDo2rWrzvKSz5IjR448sO6q1LZmzRpkZmbihRdeMPiDvDp7UZXnqkxdd+7cweOPP47Y2FgsX74cbdq0Kbem+6WmpgJ48GdmRT+3vLy89EKPk5MTABj0x0wJT09Pvd325dVijM/PspS818v6GZVMp1CdYw1RrUGlb9++0Gg02Lp1a6Ue//DDD8PX1xfPPfccfH19yz3WpUePHpDJZNi5cyd27tyJ4OBg7Q9fkiTtcSolWwp69epVqbqqKiwsDAD05kfIyspCcnIyWrRoofcYa2vraqsnJSWl1GXOzs56v5z311HyQVPWOgAYZV6BknV8+umnuHPnDoqLi1FcXAyNRqP9i3/kyJGlPtbOzg4KhUL7SxMQEACZTIaLFy/qjLv355GUlIRdu3aVuoXiXqGhoaXOc3Hu3DkAKPVnWcLKygqzZ89GbGwsFi9e/MDnKaHRaHDx4kWEhITo/WxCQ0MBQGeuj6rUVxGjRo3S2wLj7+9f5vLyvP322/j6668xefJkfP7556WOqcxrM2S9LVu2LDUkCCEA/PeX4INeW2X7/tNPP8Ha2rrUP8qM/XyG9KI0FXmuitb10ksvYdu2bZg3b16ltyJ7enoCgPZYlNJU9HOrIn/9P0hpn+Pl1VKd87KU9V0E3P0ZBQYGwt7evlrHGqJag8rYsWPh5+eH6dOnl7lV5aeffipzAhi5XI7Ro0cjMzMTo0ePLnMzXgk3Nze0bNkSu3btws6dO7W7fUp0794de/fuxbZt2+Dk5IS2bdtW7oVVQMnERp06ddIuGzx4MORyOdauXaszdt26dRBClDppXnUq2ZRdIjc3Fzt37jQoyAUFBcHPz6/UycDWrFmDevXqVepguNKe56GHHsLq1av1Dk42RIsWLbS732xtbTFmzBi8++67OH78OHJzc/HLL79g9erVEELgwIEDeOSRR/DBBx8gJCTkgesdNmwYLl26pLd7a82aNQgICEC7du0e+PghQ4agS5cumD59OvLy8sp9HTKZDP7+/jh37pxeH0oOTLx3U3lV6zOFGTNm4LPPPsOrr76K+fPnlzmuoq/N0PU+8cQTEEJg3759Osv37t0LAAbtHqlM369fv44dO3ZgyJAh2q1/hqquXlT1uSoy9uOPP8aPP/6IyZMnY9KkSRWq6V4PPfQQmjZtipUrV5a5pbK6Prfs7e1RUFBQoceUfM7e/31w8eJFnD59ulr/oH7ooYcQGhqq14eEhAQcOXJE57uousYaxOCjWf5V2QnfwsLCxNq1a0VGRka5E77Nnj37gess62BaIYR44403BAAhSZLOqcpC/HdKsiRJYsCAAVV+bfeaO3eumD59ujh58qTIzc0V169fFzNmzBAymUw89dRTeuPffPNNoVQqxerVq4VardZO+Hb/war3nhZcnsoeTDt06FAxe/ZskZaWJi5duiQGDBggbG1txalTpwyqY9myZdrTqhMSEkRiYqKYPHmyACB+/vln7biqHky7e/duoVQqxfDhw8WJEyfE7du3xfXr18WqVatE586dH3iQ4yeffCLCw8O1BzDfvn1bvPLKK6JevXrCw8NDPProo+LDDz/U/n/r1q0G9TAnJ0c0bdpUhIeHi/Pnz4vc3Fwxe/bsUt9/9x5Me6+DBw9qD1g15GDaBQsWCABi3Lhx4saNGyInJ0esXbtWuLu7i7CwMFFQUFCl+kx5enLJvBuvvPJKuWMr8toqst47d+6IyMhI0aRJE7F//36Rk5Mj1q9fL1xdXUXPnj1LPQi+KrWVmDFjhgAgtm3bVu76q/J8FelFVZ/L0LGbNm0SkiSJwYMHP3BKgJiYGAFA5wDT0uzYsUPY2NiIQYMGiVOnTonc3Fxx7NgxMXLkSJGQkCCEMPxzq+S04vv98MMPAoC4ePGidtn333+vPRD6/s+jstYjxN0DXZ2cnMTKlSuFSqUSx44dEy1bthTe3t4iKSlJO660g2lLvvPKm5+qtINphRBiy5YtQi6Xi7feekuoVCpx7do10b17d+Hv7y9u3bpVI2PLY/Szfpo3b673mFu3bokPPvhAtGrVSjg4OAg7OzsRFBQkRo4cqXNkuzGCyqZNm7RhJDU1Vee+kkneUMoR1vc+f2WCSlZWlvj0009FeHi4sLe3F/b29iIiIkJERUWV+otXXFws5s6dK5o2bSpsbGyEv7+/mDp1qsjLy9MZV15QeeSRRww6A6s09677448/Fr6+vkKhUIhOnTrpzbtQXh0bN24UHTt2FHZ2dsLW1lZERkaK9evX64ypalARQogzZ86Ip556Snh7ewsbGxvRsGFDMWLECBEdHf3A15qTkyN8fHzEV1999cBxlZGUlCRGjx4t3N3dhUKhEG3atCl11s2ygooQd2dJNjSoCCHEhg0bRLdu3YSXl5ews7MTwcHBYtq0aaWemVPR+sr6V97vpTE4OzuX+fylnU1h6Gur6HpVKpWYPHmy8PX1FdbW1qJBgwal/n4+iKG1CXH3s6lBgwYiMDDQoCBUleeraC+q+toMGVvymV7WvxL79u0TAAyaD+no0aPaOZfs7OxERESE3jwqhnxuVSSoFBQUiNGjRws3NzchSZIA9OdRKY1arRYffPCBaNy4sbC2thYeHh5i5MiRemc8lRZUxo8fL+Ryuc5Ej6UpK6gIcTdUREZGCltbW+Hi4iKGDx+u3YBQU2MfRBLi3x2vVOds3rwZ/fr1w65du/TOMLBEJbt05s+fj+eff97U5RBRBX388ceYN28erly5oj2Yta4LDg5Gx44d8eOPP5q6lGpjZeoCiGpKZGQkduzYgeHDh2PlypWYMGECOnbsCBcXFyQlJeHChQtYtmwZ4uPjsWXLlmo9gJmIKm7Hjh2YNm0aQ8q/kpKScPXqVWzZssXUpVQrBhWqUyIiInD+/Hn89NNPWLBgAcaNGweVSgVPT0/4+fmhc+fOeOmll2BlxV8NInNT2txOdZmvry/UarWpy6h2/DSmOkehUGDChAmYMGGCqUshIqJy8BgVIiIiMlvVOo8KERERUVUwqBAREZHZ4jEqFaDRaJCUlARHR0ejTalMRER1jxACOTk58PX1hUzGbQYPwqBSAUlJSQ+8SB0REVFFxMfHG3T9q7qMQcUAUVFRiIqKwp07dwDcfWMZ6zx+jUaDtLQ0eHp6MlX/iz3RxX7oY090sR/6zL0n2dnZCAgIgKOjo6lLMXs866cCsrOz4ezsDJVKZdSgkpqaCi8vL7P8ZTIF9kQX+6GPPdHFfugz955Ux/eJpTK/nx4RERHRvxhUiIiIyGwxqBAREZHZYlAhIiIis8WgQkRERGaLQYWIiIjMFoMKERERmS0GFSIiIjJbDCpERERkthhUiIiIyGwxqBggKioKISEhiIiIMHUpREREdQqDigEmTpyI2NhYHDlyxNSlEBER1SkMKkRERGS2GFSIiIjIbDGoEBERkdmyMnUBxiKEwI4dOxAXF4ehQ4fCz89Pb0xBQQG2bt2KlJQUhIWFoX379iaolAgo1ggcvpqB1Bw1vByVaNfIDXKZZOqyiIjMjkUElfXr1+Ott96Cq6srDh8+jNDQUL2gkpqaiu7duwMAWrZsibfffhvDhg3DokWLTFAx1WWbzyRj1sZYJKvU2mU+zkrMGBiCvqE+JqyMiMj8WERQsbe3x19//QVbW1sEBASUOuadd96BtbU1Dh48CFtbW5w4cQJt2rTB4MGDMXDgwBqumOqqzWeSMWHpcYj7lt9UqTFh6XEsHBXOsEJEdA+LOEald+/eaNq0aZn3azQarF69GmPGjIGtrS0AoFWrVujYsSNWrlxZU2VSHVesEZi1MVYvpADQLpu1MRbFmtJGEBHVTRaxRaU88fHxyMnJQXBwsM7y4OBgHD16tMzHFRQUoKCgQHs7OzsbwN3go9FojFKbRqOBEMJo67MEltqTQ1fSdXb33E8ASFapcejKLXQIdNcut9R+VAV7oov90GfuPTHXusxRnQgqOTk5AAAXFxed5a6urtrwUZrZs2dj1qxZesvT0tKgVpf9hVMRGo0GKpUKQgjIZBaxgavKLLUnlxIyDByXhkCHYu1tS+1HVbAnutgPfebek5LvJSpfnQgqJbt77n9jZGdnw87OrszHTZs2DVOmTNEZHxAQAE9PTzg5ORmlNo1GA0mS4OnpaZa/TKZgqT1pkisHcLX8cf6e8PLS3aJiif2oCvZEF/uhz9x7olQqTV1CrVEngkr9+vVhY2ODq1d1vySuXLnywGNbFAoFFAqF3nKZTGbUN74kSUZfZ21niT1pH+gBH2clbqrUpR6nIgHwdlaifaAHZPedqmyJ/agq9kQX+6HPnHtijjWZqzrRKWtra/Tr1w+//fYbhLj7FZGQkIDdu3dj0KBBJq6O6gq5TMKMgSGl3lcSS2YMDOF8KkRE97CILSpxcXHYvn07srKyAABr167FmTNn0K5dO7Rr1w4AMGfOHHTs2BEDBgxA+/btsXTpUnTs2BFPP/20CSunuqZvqA8+HByKD9af0VnuzXlUiIhKZRFBRaVSIS4uDsDdKx0XFxcjLi4OgYGB2jFBQUE4c+YMfv31V6SkpODdd9/F008/DSsri2gB1SJZeYUAgFBfJ4zrGsiZaYmIHsAivqXbt29v0HT4Pj4+ePvtt2ugIqLSCSGw7kQiAODZjg0xuJX+pR6IiOg/deIYFSJzcTYpG5fTbkNhJUPfUG9Tl0NEZPYYVIhq0LqYu1tTegfXg6PS2sTVEBGZPwYVohpSrBHYcDIJADC4la+JqyEiqh0YVIhqyMEr6UjNKYCzrTW6B3mZuhwiolqBQYWohpTs9nk0zAc2VvzVIyIyBD8tiWqAuqgYm8/cBAAM4W4fIiKDMagQ1YCdcanIKbgDX2clIhq6mbocIqJag0GFqAaU7PYZ1MpP7zo+RERUNgYVomqmyivC7vNpAIAhrbnbh4ioIhhUiKrZpjPJKCzWoJm3I5p5O5m6HCKiWoVBhaialez24XT5REQVx6BCVI2SsvJx6GoGAGAQz/YhIqowBhWialQyE227Rm7wc7E1cTVERLUPgwpRNSrZ7TOEu32IiCqFQYWompy/mYO4mzmwlkt4NIxXSiYiqgwGFaJqsu7E3a0p3YO84GJnY+JqiIhqJwYVomqg0QhsOHH3+BTu9iEiqjwGFaJqcPR6JhKz8uGgsEKvYF4pmYioshhUiKpByW6fvqHeUFrLTVwNEVHtxaBCZGSFdzTYdDoZAHf7EBFVFYMKkZHtuZCGrLwieDkqENnY3dTlEBHVagwqREZWsttnYEtfyHmlZCKiKmFQITKiHHURtsemAOBuHyIiY2BQITKiLWdTUHBHg0BPe4T68UrJRERVxaBCZETrT/w3Zb4kcbcPEVFVMagQGUlqjhr7L90CAAzmlZKJiIyCQYXISDaeTIZGAK3ru6CBu72pyyEisggMKkRGcu9uHyIiMg4GFSIjuJKWi1MJKshlEvq38DF1OUREFoNBhcgI1v17AcIuTT3g4aAwcTVERJaDQYWoioQQ3O1DRFRNGFSIquhEfBaup+fB1lqOPiH1TF0OEZFFYVAhqqL1/+72ebh5PdgrrExcDRGRZWFQIaqCO8Ua/HnqblDhbh8iIuNjUCGqguhLt3ArtxBu9jbo3NTD1OUQEVkcBhWiKijZ7TOghQ+s5fx1IiIyNn6yElVSXuEdbDl7EwAwmLt9iIiqBYMKUSVti01BXmEx6rvZIby+i6nLISKySAwqRJVUsttncCtfXimZiKiaMKgQVULG7ULsvZAGgLt9iIiqE4MKUSX8dSoJdzQCoX5OaOLlYOpyiIgsFoMKUSWUXNuHc6cQEVUvBhWiCorPyMOx65mQJGBgS19Tl0NEZNEYVIgqqOQChB0bu6Oek9LE1RARWTYGFaIKEEJod/vwIFoiourHoEJUAWeTsnEpNRc2VjL0DfU2dTlERBaPQYWoAkp2+/QO9oKT0trE1RARWT4GFSIDFWsENpzkbh8ioprEoEJkoENX0pGSXQAnpRW6B3mauhwiojqBQYXIQOv+3e3Tv4UPFFZyE1dDRFQ3MKgQGUBdVIy/T/NKyURENY1BhcgAu+JSkVNwB77OSrRr6GbqcoiI6gwGFSIDlOz2GdjKFzIZr5RMRFRTGFSIyqHKK8KuuLtXSua1fYiIahaDClE5/j6TjMJiDYLqOSLYx8nU5RAR1SkMKkTlKNntM7g1L0BIRFTTGFSIHiBZlY9DVzMAAIN4pWQiohrHoEL0ABtOJEEIoF1DN/i72pm6HCKiOodBhegBtFdK5m4fIiKTYFAhKsOFlBycS86GtVxC/zAfU5dDRFQnMagQlWFdzN2DaLs95AUXOxsTV0NEVDcxqBCVQqMRWP/vbp8h3O1DRGQyDCoGiIqKQkhICCIiIkxdCtWQYzcykZiVDweFFXoH1zN1OUREdRaDigEmTpyI2NhYHDlyxNSlUA0p2e3zSHNvKK15pWQiIlNhUCG6T+EdDf46nQyAu32IiEyNQYXoPnsvpCErrwiejgp0bOxh6nKIiOo0BhWi+2ivlNzCF3JeKZmIyKQYVIjukVtwB9vPpQDgbh8iInPAoEJ0jy1nbkJdpEGghz3C/JxNXQ4RUZ3HoEJ0D+2Vklv5QZK424eIyNQYVIj+lZqjxv5LtwAAg1txtw8RkTlgUCH6158nk6ERQKsAFzT0sDd1OUREBAYVIq31/+72GcKtKUREZoNBhQjA1Vu3cTJBBblMwoCWDCpEROaCQYUI/02Z37mJBzwcFCauhoiISjCoUJ0nhPhvtw/nTiEiMisMKlTnnUxQ4Vp6Hmyt5Xg4xNvU5RAR0T0YVKjOK9nt0yekHuwVViauhoiI7sWgQnXanWIN/jyVBIC7fYiIzBGDCtVp+y+n41ZuIdzsbdClqaepyyEiovswqFCdtv7f3T79w3xgLeevAxGRueEnM9VZ+YXF2HL2JgDu9iEiMlcMKlRnbTuXgtuFxQhws0V4fVdTl0NERKVgUKE6q2S3z+CWvFIyEZG5YlChOinjdiH2XEgDwN0+RETmjEGF6qS/Tifjjkagua8Tmng5mrocIiIqA4MK1Uklu32GtPIzcSVERPQgDCpU58Rn5OHo9UxIEjCQV0omIjJrDCpU52w4eXcm2shAd3g7K01cDRERPQiDCtUpQgjttX2424eIyPwxqFCdEpucjYupubCxkqFvGK+UTERk7hhUqE5Zf+Lubp9ezbzgpLQ2cTVERFQeBhWqM4o1Ahv+DSqDuduHiKhWYFChOuPQ1XTczFbDSWmFHs14pWQiotqAQYXqjPUxd7emPBrmA4WV3MTVEBGRIRhUqE5QFxVj05lkANztQ0RUmzCoUJ2w+3wqctR34OOsRPtGbqYuh4iIDMSgQnXCun93+wxq6QuZjFdKJiKqLRhUyOKp8ouwMy4VAHf7EBHVNgwqZPE2n0lGYbEGD9VzQLAPr5RMRFSbMKiQxSvZ7TO4lR8kibt9iIhqEwYVsmg3VWocvJoOABjcildKJiKqbRhUyKJtOJkIIYCIhq7wd7UzdTlERFRBDCoGiIqKQkhICCIiIkxdClXQvbt9iIio9mFQMcDEiRMRGxuLI0eOmLoUqoCLKTmITc6GlUxC/zAfU5dDRESVwKBCFmvdiUQAQPcgT7ja25i4GiIiqgwGFbJIQgis55WSiYhqPQYVskjHrmciITMf9jZy9A6uZ+pyiIiokhhUyCKV7PZ5JNQbtja8UjIRUW3FoEIWp6hYg79O3b1S8hDu9iEiqtUYVMji7L2Qhsy8Ing4KNCxsbupyyEioipgUCGLs+7fg2gHtvSBlZxvcSKi2oyf4mRRcgvuYFvsTQDc7UNEZAkYVMiibD17E+oiDRp52KOFv7OpyyEioipiUCGLsk47d4ovr5RMRGQBGFTIYqTlFCD6YhoA7vYhIrIUDCpkMf48lQSNAFoGuKChh72pyyEiIiNgUCGLUbLbZ0grXxNXQkRExsKgQhbh6q3bOBmfBblMwoAWDCpERJaCQYUswvp/p8zv1MQDno4KE1dDRETGwqBCtd69V0rmbh8iIsvCoEK13qkEFa7eug2ltQwPN/c2dTlERGREDCpU65VcKblPiDccFFYmroaIiIyJQYVqtTvFGmw8WXKlZO72ISKyNAwqVKv9czkdt3IL4Gpnja4PeZq6HCIiMjIGFarVSnb79G/hA2teKZmIyOLwk51qrfzCYmw5wyslExFZMgYVqrW2n0vB7cJi+Lvaok0DV1OXQ0RE1YBBhWqtkkneeKVkIiLLxaBCtVLm7ULsPs8rJRMRWToGFaqV/jqdjDsagRAfJzSt52jqcoiIqJowqFCtVLLbZ0hrzp1CRGTJGFQMEBUVhZCQEERERJi6FAKQkJmHI9cyIUnAoJbc7UNEZMkYVAwwceJExMbG4siRI6YuhQDtBQg7NHKHt7PSxNUQEVF1YlChWuXulZK524eIqK5gUKFa5VxyDi6k5MJGLkPfUB9Tl0NERNWMQYVqlZKtKT2becHZ1trE1RARUXVjUKFaQ6MR2HDy7vEp3O1DRFQ3MKhQrXHoagaSVWo4Kq3QPcjL1OUQEVENYFChWqNkt8+joT5QWstNXA0REdUEBhWqFQruFGPT6WQAwGDu9iEiqjMYVKhW2BWXhmz1HXg7KdGhkbupyyEiohrCoEK1Qslun0GtfCGT8UrJRER1BYMKmb1sdRF2xKUCAAa34m4fIqK6hEGFzN7m0zdReEeDpl4OCPFxMnU5RERUgxhUyOyt006Z7wdJ4m4fIqK6hEGFzNpNlRoHrqQDAAa15G4fIqK6hkGFzNrGk0kQAmjbwBUBbnamLoeIiGoYgwqZtZLdPoNb+5m4EiIiMgWLCCpTpkyBi4uLzr+OHTvqjfvpp5/QsmVLeHt7o0+fPoiJiTFBtVSeYo3Asfgc/LD3Cs4mZUMuAf3DeKVkIqK6yMrUBRhDXl4eunXrhp9//lm7TC7XnWJ9+fLlmDBhAn788UdERkbis88+Q8+ePREbGwsfH34JmovNZ5Ixc0Msbmartcus5DIcvpqOvqH8ORER1TUWsUUFAKytrXW2qDg6OurcP3v2bDz33HMYNWoUGjdujKioKCgUCixcuNBEFdP9Np9JxoSlx3VCCgAU3NFgwtLj2Hwm2USVERGRqVhMUNmxYwd8fX0RHByMF198ESkpKdr7srKycPr0afTq1Uu7TC6Xo2fPnoiOjjZFuXSfYo3ArI2xEA8YM2tjLIo1DxpBRESWxiJ2/fj5+eGrr75Ct27dkJiYiLfeegudOnXCyZMnYW9vj6SkJABAvXr1dB7n5eWF48ePl7negoICFBQUaG9nZ2cDADQaDTQajVFq12g0EEIYbX211aEr6UhWqcu8XwBIVqlx6MotdAisW9f64XtEH3uii/3QZ+49Mde6zJFFBJUPPvhA+//69etj7dq18Pf3x4oVKzB27FjtfTKZ7gYkKysrCFH2X+izZ8/GrFmz9JanpaVBrS77S7UiNBoNVCoVhBB69dUllxIyDByXhkCH4mquxrzwPaKPPdHFfugz957k5OSYuoRawyKCyv08PT3RoEEDnD9/HsDdLScAcOvWLZ1xqamp2vtKM23aNEyZMkV7Ozs7GwEBAfD09ISTk3GmctdoNJAkCZ6enmb5y1RTmuTKAVwtf5y/J7y86t4WFb5HdLEnutgPfebeE6VSaeoSag2LDCq3b99GQkKCNoR4eHggMDAQ+/btw5AhQ7Tj9u7di8cff7zM9SgUCigUCr3lMpnMqG98SZKMvs7axs/VDnKZVOYxKBIAb2cl2gd61MmrJ/M9oo890cV+6DPnnphjTeaq1neqoKAAzz33HC5cuAAhBJKTk/HMM8/AxsYGTz31lHbc5MmTsWjRIuzfvx+FhYWYPXs2bt68ifHjx5uwegKAy2m5ePL7gw8MKQAwY2AI5HUwpBAR1WW1fouKQqFA79698fjjj+PixYuwtrZGly5dsH//fvj5/Teb6auvvopbt27h0Ucfxe3bt9GwYUOsW7cOTZs2NWH1dDZJhWd+PIz024Vo4uWAsZ0b4cvtF3VOUfZ2VmLGwBDOo0JEVAdJ4kFHk9YyhYWFsLGxeeAYIQTUajVsbW0rvP7s7Gw4OztDpVIZ9RiVkmNl6tqmwGPXMzBm8RHkqO8g1M8JPz/XDu4OChTdKcbWmCsosrJFPSdbtGvkVqe3pNTl90hZ2BNd7Ic+c+9JdXyfWKpav0XlXuWFFODuPsvKhBQyrn0X0/DiL8eQX1SMiIau+HFMBJyU1gAAuUxCmwBHs/2AISKimmNRQYVqh81nbmLS8hgUFmvQ7SFPfDuqDWxt5OU/kIiI6hwGFapRfxxLwNt/nEKxRuDRMG/MH9EaNlbcakJERKVjUKEa88uBa5i+/iwAYHgbf8weFgYrOUMKERGVjUGFqp0QAt/svozPttydgO+5Tg3xQf+QOjkfChERVQyDClUrIQQ+2RyH7/ZcAQBM6tUUr/duCkliSCEiovIxqFC1KdYIfLD+DH47dAMA8H7/YLzQJdDEVRERUW3CoELVoqhYgzdXncT6E0mQJGD20DA82a6+qcsiIqJahkGFjE5dVIxXfjuO7edSYSWTMG9EKwxs6WvqsoiIqBZiUCGjul1wB+N+OYp/LqdDYSXDwlHh6NmsnqnLIiKiWopBhYwmK68QYxYfwYn4LNjbyPHjmAh0CHQ3dVlERFSLMaiQUaTmqPHMj4cRdzMHLnbW+Pm5dmgZ4GLqsoiIqJbjbFsGiIqKQkhICCIiIkxdillKyMzDE98eQNzNHHg5KrDyxUiGFCIiMooKb1HJy8vD5s2bsXfvXiQkJAAAAgIC0LVrVzzyyCOws7MzepGmNnHiREycOFF7tUv6z+W0XIxedAhJKjX8XW2x7IX2aOBub+qyiIjIQhi8RSU7OxvvvPMO/Pz8MGbMGMTExEAmk0Emk+H48eN45pln4O/vj2nTpiE7O7s6ayYzcTZJhSe+PYAklRqNPe2x6qVIhhQiIjIqg7eoBAcHo2vXrvjjjz/QrVs3yOW6V7stLi7G7t27sWjRIgQHByMxMdHoxZL5OHY9A2MWH0GO+g6a+zrhl+fbwd1BYeqyiIjIwhgcVLZu3YrmzZuXeb9cLkevXr3Qq1cvnD171ijFkXmKvngL4345ivyiYkQ0dMWPYyLgpLQ2dVlERGSBDA4qDwopVRlLtcuWszfx6m8xKCzWoOtDnvhuVBvY2sjLfyAREVEl8PRkMtia4wl4a/UpFGsE+oV6Y/6TraCwYkghIqLqU+mgsnHjRqxatQo3btzAnTt3dO6Ljo6ucmFkXn49cA0frL+7S+/xNv74ZFgYrOQ8u52IiKpXpb5pvvnmGzz77LNwc3PDnj170LlzZ9jY2GD//v0ICgoydo1kYlG7LmlDypiODfHpYy0YUoiIqEZU6tvmq6++wqpVqzB//nwAwCeffIKdO3fi448/RkZGhjHrIxMSQuCTv+Pw2ZbzAIBJPZtgxsAQyGSSiSsjIqK6olJB5cqVK+jcuTMAQKFQIDc3FwAwYcIE7Ny503jVkcloNALvrzuDb/dcBgC892gwpjwcBEliSCEioppTqaBSVFQEheLunBn+/v44efIkACAtLY1fZBagqFiD138/gWWHbkCSgNnDwjCua6CpyyIiojqoymf9PP3003jyySfRv39/bNu2DQMGDDBGXWQi6qJivPJbDLafS4GVTMIXI1phUEtfU5dFRER1VKWCyoULFyCEgCRJmDFjBtzc3HDgwAGMHj0ab731lrFrpBpyu+AOxv1yFP9cTofCSoaFo8LRs1k9U5dFRER1WIWCSlZWFiZMmICNGzcCAAYOHIhvv/0WkydPxuTJk6ulQKoZWXmFGLP4CE7EZ8HeRo5Fz0YgsrG7qcsiIqI6rkLHqLz33nvYu3cvpk6diqlTp2LPnj147733qqs2sxEVFYWQkBBERESYupRqkZqjxpPfH8SJ+Cy42Flj2bgODClERGQWKrRFZePGjVizZg3at28PAOjduzeefPJJLFiwoFqKMxcTJ07ExIkTkZ2dDWdnZ1OXY1QJmXkYtegQrqXnwdNRgaVj2yPI29HUZREREQGoYFBJSkpC27ZttbfbtWvHqyTXYlfScjFq0SEkqdTwd7XFshfao4G7vanLIiIi0qpQUCkuLoZc/t+1XeRyOYqLi41eFFW/2KRsPPPTIdzKLURjT3ssfaE9fJxtTV0WERGRjgqf9RMaGlrusjNnzlS+Iqp2x65n4rnFh5GtvoPmvk745fl2cHdQmLosIiIiPRUKKm+88Ybesr59+xqtGKp+0Rdv4cVfjyKvsBhtG7jixzERcLa1NnVZREREpapQUJk7d2511UE1YOvZm3jltxgUFmvQpakHvhvdBnY2VZ7zj4iIqNrwW6qOWBuTgDdXnUKxRqBvc298+VQrKKzk5T+QiIjIhCoVVPLz8/HVV19h//79pV4tOTo6usqFkfH8euAaPlh/FgDwWLg/5jwWBit5pS7zREREVKMqFVQmTJiAbdu24fHHH0d4eLixayIj+mb3JXy6+TwAYEzHhpg+IAQyGS8cSUREtUOlgsr69esRHR2N5s2bG7seMhIhBOZsPo9v91wGALzaswmm9HmIV7cmIqJapVJBxc7ODgEBAcauhYxEoxGYvuEMlh68AQB499FmeLFrYxNXRUREVHGVOlBhwIAB+Pnnn41dCxlBUbEGU34/gaUHb0CSgP8bGsaQQkREtZbBW1ReeOEF7f+zs7MxadIkrF69Gk2aNNHbnbBo0SLjVUgGUxcV49XlMdgWmwIrmYTPn2iJwa38TF0WERFRpRkcVHJzc7X/l8lkGDFiBADg9u3bxq/KzERFRSEqKsqsLxdwu+AOXvz1KPZfSoeNlQwLnw5Hr+B6pi6LiIioSgwOKitWrKjOOsyauV89WZVXhDFLDiPmRhbsbeT44dm26NjYw9RlERERVZnBx6jExsYavNKKjKWqScspwIjvDyDmRhacba2xbFwHhhQiIrIYBgeVPn36YPTo0di/fz+EEHr3azQa7N69G08//TR69+5t1CKpdIlZ+XjiuwOIu5kDT0cFfh8fiVYBLqYui4iIyGgM3vVz7tw5fPzxx3j00UdhZWWF8PBw1KtXD0II3Lx5E8eOHQMAjB8/HnFxcdVWMN11JS0XoxYdQpJKDT8XWyx7oT0aetibuiwiIiKjMniLipOTE+bMmYPExEQsXLgQISEhyMvLg1qtRmhoKH744QckJiZizpw5cHJyqs6a67zYpGw88d0BJKnUCPS0x+oJkQwpRERkkSo84ZuDgwOeeOIJPPHEE9VRD5Xj2PVMPLf4MLLVdxDi44RfxraDh4PC1GURERFVC149uRaJvngLL/56FHmFxWjTwBU/jYmAs621qcsiIiKqNgwqtcTWszfxym8xKCzWoEtTD3w3ug3sbPjjIyIiy8ZvulpgbUwC3lx1CsUagUea18NXT7WGwkpu6rKIiIiqHYOKmfv14HV8sO4MAGBYuB8+fawFrOSVukQTERFRrcNvPANERUUhJCQEERERNfq83+y+pA0pz0Y2wNzHWzKkEBFRnVKpbz2NRoMFCxagdevWOlPKT506FQkJCUYrzlxMnDgRsbGxOHLkSI08nxACczbH4dPN5wEAr/RogpmDmkMmk8p5JBERkWWpVFCZP38+5s6di3HjxiE7O1u7vFmzZvjoo4+MVlxdpNEITF9/Fgt3XwYATOvXDG8+EqR3hWoiIqK6oFJB5dtvv8Xvv/+Ol19+WWd5nz59sHbtWqMUVhfdKdbgjVUn8evB65Ak4OOhoRjfrbGpyyIiIjKZSh1Me/36dYSFhQGAzl/6dnZ2OltYyHAFRcWYtPIktsWmQC6T8MUTLTG4lZ+pyyIiIjKpSm1RadiwofbaPvcGlT/++APNmjUzTmV1SF5hMcb+cgzbYlNgYyXDd6PaMKQQERGhkkFlypQpeOaZZ7BixQoAwJ49ezBt2jRMmjQJU6ZMMWqBALB79248+eSTaNWqFY4ePVrqmO3bt2Pw4MHo0KEDxo0bh/j4+EqNqW7FGoEDl9Ox/kQiDlxOR8btQkxeexH/XE6HvY0cS56LQO+QejVeFxERkTmq1K6f8ePHo7CwEK+99ho0Gg26d+8ODw8PfPbZZ3jmmWeMWuA777yDAwcOYOjQoVi5ciVyc3P1xmzbtg2PPvooZsyYgcjISHz55Zfo1KkTTp8+rT0ryZAx1W3zmWTM2hiLZJVau8xKJuGORsDZ1hpLnotA6/quNVILERFRbSAJIURFH3Tp0iU0adIEQggkJCRAo9EgICAAMpnx5/i4ffs27O3tkZCQgICAAOzatQvdu3fXGRMZGYnGjRtj6dKlAAC1Wg0fHx9MmzYNb7/9tsFjypOdnQ1nZ2eoVKoKXyF685lkTFh6HGU1+71Hm2FcVx44C9w9/T01NRVeXl7V8p6qbdgPfeyJLvZDn7n3pCrfJ3VNpX56QUFBAO4enxIQEIAGDRpU2xvB3t7+gffn5ubi0KFDePTRR7XLlEolevXqhR07dhg8pjoVawRmbYwtM6QAwE/7r6FYU+HMSEREZNEqtevHz88PN27cQP369Y1dT4UlJiZCCAEfHx+d5b6+vti+fbvBY0pTUFCAgoIC7e2SM5o0Gg00Go3BNR66kq6zu6c0ySo1Dl25hQ6B7gav11JpNBoIISrUY0vGfuhjT3SxH/rMvSfmWpc5qlRQmTp1Kl5++WV8++238Pf3N3ZNFVJUVAQAUCgUOssVCoX2PkPGlGb27NmYNWuW3vK0tDSo1Q8OHve6lJBh4Lg0BDoUG7xeS6XRaKBSqSCEMMtNtjWN/dDHnuhiP/SZe09ycnJMXUKtUamgMmPGDKSnpyMgIACOjo6wsbHRuf/WrVtGKc4Q7u53t0Ckp6frLE9PT9feZ8iY0kybNk3nLKbs7GwEBATA09OzQvsUm+TKAVwtf5y/J7y8uEVFo9FAkiR4enqa5QdMTWM/9LEnutgPfebeE6VSaeoSao1KBZUFCxYYu45K8/Hxga+vLw4fPoyBAwdqlx88eBA9evQweExpFAqF3lYYAJDJZBV647cP9ICPsxI3Veoyj1ORAMRn5iNSkjhdPu4e/1TRPlsy9kMfe6KL/dBnzj0xx5rMVaWCypNPPmnsOqpk3Lhx+O677zB27Fg0bNgQv/32G+Li4rRn+Bg6prrIZRJmDAzBhKXHIQGlhhUBYOofp7H/Ujr+NzQUTkrraq+LiIjI3FUqqNSkDRs2YPr06dpjSV544QU4ODjgpZdewksvvQQAeO+993DlyhUEBQWhXr16yMrKwg8//IDw8HDtegwZU536hvpg4ahwvXlUfJyVeKWTDzLvWGPe9ovYcDIJMfGZ+PLJ1gjnnCpERFTHVWoelfJ2TVRilWXKyMjAjRs39JZ7e3vD29tbZ9mtW7eQlpaGhg0bwtbWttT1GTKmLMY4771YI3D4agZSc9TwclSibQMXpN9Kg5eXF04kqDBpeQwSMvMhl0mY0uchvNStMeSyurUryNznP6hp7Ic+9kQX+6HP3HvCeVQMV6ktKtu2bdO5rdFocPHiRfzf//0fXn/9daMUVsLNzQ1ubm4GjfXw8ICHh0eVx1QnuUxCZOP/Dpi99xS18Pqu2DS5C95bewYbTybhsy3nsf/SLcwb0Qr1nHjgFRER1T2VCiq9e/fWW/bwww8jLCwM06dPx5tvvlnlwuoqJ6U1vnqyFbo29cD09Wfxz+V09J2/F3OHt0SvYF4DiIiI6hajbg9r06YNYmJijLnKOkmSJAxvG4A/J3VGc18nZOYVYezPRzFzw1moizjPChER1R1GDSrLli174LwkVDGNPR2w5uWOGNu5EQBgyT/XMCRqPy6lcqIgIiKqGyq166dZs2Z6yzIzM5GRkYEff/yxykXRfxRWcnwwIASdm3jgzVUnEXczBwO+jsbMgc0xIiKAc64QEZFFq1RQeeWVV/SWubq6IjIyEoGBgVUuivT1aOaFvyd3wZTfTyL60i28s+Y09l28hf8bFgZnW865QkRElsloQYWqn5eTEr883w4/7LuCz7acx1+nk3EiPgtfPdUKbRoYdmYUERFRbVKpY1Ti4+Mxe/Zs7e05c+bAxcUFbdq0wZUrV4xWHOmTySSM79YYf0zoiAbudkjMyscT3x3EVzsuolhjvPlriIiIzEGlgsrrr7+O4OBgAMCNGzcwc+ZMzJkzB8HBwXjjjTeMWiCVrmWAC/58tTOGtvZDsUbgi20XMPKHg0hW5Zu6NCIiIqOpVFDZuXMnevbsCQDYvHkzHn30UYwfPx7z5s3Dvn37jFoglc1RaY15I1rhiydawt5GjkNXM9Dvy33YcvamqUsjIiIyikoFFUmSkJ2dDQDYunWrNrTI5XKjTp9PhhkW7o+/JnVBC39nZOUVYfyvx/DBujOcc4WIiGq9SgWVnj174tlnn8X06dOxadMmDBo0CAAQHR2NLl26GLVAMkxDD3usfqkjxne9e9bVrwevY/CC/biQwjlXiIio9qpUUPnmm29Qv359REdHY8mSJQgICAAArFixAjNnzjRmfVQBNlYyTHs0GL883w4eDgqcT8nBwK+jsfTgdW7pIiKiWqlSpyd7enpi8eLFest/++23KhdEVdf1IU9sfq0L3vj9JPZcSMP7685g38U0zHmsBVzsbExdHhERkcF4erKF8nBQYPGYCLzfPxjWcglbzqag35f7cOhKuqlLIyIiMhhPT7ZgMpmEF7oEYu3LndDIwx7JKjWe+uEg5m27gDvFGlOXR0REVC6enlwHhPo5489XO+PxNv7QCODLHRfx5PcHkZCZZ+rSiIiIHoinJ9cR9gorzB3eEl8+2QoOCiscvZ6JR7/ch79PJ5u6NCIiojLx9OQ6ZnArP2ya1AWtAlyQrb6DCcuOY9qa08gv5JwrRERkfnh6ch1U390Oq16KxMvdG0OSgOWHb2DggmicS842dWlEREQ6eHpyHWUtl+Htvs3QqYkHXl95ApdSczE4aj/e7x+M0R0aQJIkU5dIRERUuS0qJa5fv45du3YZqxYygU5NPPD35C7o2cwLhXc0mL7+LMb9cgwZtwtNXRoREVHlgsqtW7fQp08fNGzYUHsgLQA8+uij2Lt3r9GKo5rh7qDAj8+2xcyBIbCRy7D9XAr6fbkX/1y+ZerSiIiojqtUUHnzzTfh4OCApKQkveUfffSRUQqjmiVJEsZ0aoS1Ezuisac9UrIL8PSiQ5i75TyKOOcKERGZSKWCyubNm7FgwQL4+PjoLG/Tpg32799vlMLINJr7OmPjq53xZEQAhAAW7LqEEd8dQHwG51whIqKaV6mgkp2dDUdHRwDQOegyKysL1tbWxqmMTMbOxgqfPNYCC0a2hqPSCsdvZOHRL/dh48mk8h9MRERkRJUKKu3bt8eKFSsA/BdUNBoNPvzwQ3Tu3Nl41ZFJDWjhi02TuiC8vgtyCu7g1eUxeHv1SeQV3jF1aUREVEdU6vTkOXPmoHfv3ti5cyeEEHj99dexbds2XLt2DdHR0caukUwowM0Ov4+PxFc7LuLrXZfw+9EEHL2eia+ebI1QP2dTl0dERBauUltU2rVrhyNHjsDZ2RmtW7fG7t270b59exw9ehStWrUycolkalZyGaY8HITfXugAbyclrqTdxrBv/sGP0Vd5yQQiIqpWldqiMnfuXLz55pv47rvvjF0PmbHIxu74e3IXvP3HKWyLTcFHf8Yi+mIa5g5vCXcHBQCgWCNw+GoGUnPU8HJUol0jN8hlnDyOiIgqRxKV+JNYoVDg9u3bsLKqVM6ptbKzs+Hs7AyVSgUnJyejrFOj0SA1NRVeXl6Qyao0/16NEUJg6cHr+Oivcyi8o4GnowLznmiF3IIizNoYi2SVWjvWx1mJGQND0DfU5wFr1FUbe1Kd2A997Iku9kOfufekOr5PLFWlfnotWrTAoUOHjF0L1RKSJGF0ZENseKUTmno5IC2nAKN+PISXlh7XCSkAcFOlxoSlx7H5DK/STEREFVepTSJPPvkkRowYgXfeeQchISGwsbHRuZ9n/tQNzbydsOGVzvjwz7NYfji+1DECgARg1sZY9Anx5m4gIiKqkEoFlTfffBMA8Oqrr5Z6Pw+wrDtsbeQY1NKvzKAC3A0rySo1Dl/NQGRj95orjoiIar1KBZX8/Hxj10G1WGqOuvxBFRhHRERUolJBRalUGrsOqsW8HA17Pxg6joiIqESlT9s5e/YsvvrqK5w7dw4AEBISgsmTJyM4ONhoxVHt0K6RG3yclbipUqOsnX5WMgnWch6fQkREFVOps35WrVqFli1b4vz582jfvj3at2+PuLg4hIWFYc2aNcaukcycXCZhxsAQAHcPnC3NHY3A8O8OYOaGs8gt4BT8RERkmEptUXnnnXfwxRdfYNKkSTrLv/zyS7z99tsYNmyYUYqj2qNvqA8WjgovdR6VKX0ewoEr6VhzPBFL/rmGLWdv4sPBoegTUs+EFRMRUW1QqQnfHBwckJSUpDdJjUqlgr+/P3JycoxWoDnhhG/le9DMtNEXb+HdtadxIyMPANAv1BuzBjWHl5PusSuW1pOqYj/0sSe62A995t4TTvhmuEr99MLCwnD48GG95YcPH0ZoaGiVi6LaSy6TENnYHYNb+SGysbvOvCmdm3pgy2tdMaF7Y8hlEv4+cxO9vtiDpQevQ6PhKe1ERKSvUrt+HnvsMTzxxBN47bXXEBERASEEjh49ivnz5+O9997TuYIyJ3+je9nayDG1bzMMbOGLaWtO4WSCCu+vO4N1MYmYPSwMTes5mrpEIiIyI5Xa9SNJhp+9YUmTv3HXj3EVawR+OXANn205j7zCYljLJUzo3gQTujaCKjO9TvakNHX5PVIW9kQX+6HP3HvCXT+Gq9RPLz8/3+B/RGWRyyQ816kRtk3phl7NvFBULPDVjovo//V+xCRY5nFORERUMZzwjUzOz8UWi55ti02nb2LGhrO4cus2Jqy+gBHX8vDuoyFwtrM2dYlERGQi5rc9jOokSZLQv4UPdkzphqciAgAAK48moNcXe/DnqSSL2oVIRESGY1Ahs+JsZ42Ph4bi2+EPobGnPW7lFuCV32Iw9uejSMzirkQiorqGQYXMUis/R/z5aidM7tUU1nIJO+NS0eeLPfgp+iqKeSozEVGdwaBCZkthJcfrfR7C35O7IKKhK/IKi/Hhn7EY+s1+nE1Smbo8IiKqAQwqZPaaeDli5YuR+L+hYXBUWuFUggqDFuzH7L/PIb+w2NTlERFRNWJQoVpBJpMwsn197JjSDY+GeaNYI/Ddnit4ZP5e7LuYZuryiIiomjCoUK3i5aTEN0+3wQ/PtIWPsxI3MvIw+sfDmLLyBNJzC0xdHhERGRmDCtVKfULqYduUbhjTsSEkCVgTk4jeX+zBH8cSeCozEZEFYVChWstBYYWZg5pjzYSOaObtiMy8Iryx6iRG/3gY19Nvm7o8IiIyAgYVqvVa13fFxlc74+2+QVBYyRB96RYenrcXC3dfRlGxxtTlERFRFTCokEWwlsvwcvcm2PJaV3Rq4o6COxrM2RyHgV9H40R8lqnLIyKiSmJQIYvS0MMeS8e2x9zhLeFiZ424mzkY+s1+zNp4FrkFd0xdHhERVRCDClkcSZLweBt/7JjSDUNb+0EIYPH+a3j4iz3YcS7F1OUREVEFVOrqyTVJrVZj2bJl+Oeff2BlZYXOnTtj5MiRkMvlOuPOnj2L77//HikpKQgLC8Orr74KJyenCo8hy+HuoMC8Ea0wtLUf3lt3GvEZ+Rj781H0D/PBjIEh8HK6exXwYo3A4asZSM1Rw8tRiXaN3CCXSSaunoiIADPfoqLRaBASEoKDBw+iU6dOCAsLw3vvvYchQ4bonIJ69OhRRERE4Pbt2+jTpw82bNiAzp07Q61WV2gMWaauD3liy2tdMb5rIOQyCX+dTkavL/Zg+eEb2HQqGZ3n7MRTPxzE5BUn8NQPB9F5zk5sPpNs6rKJiAiAJMx40gkhBFJSUuDt7a1ddvDgQURGRuLw4cOIiIgAAPTp0wdKpRIbN24EAGRmZsLf3x+fffYZXn75ZYPHlCc7OxvOzs5QqVRG2xKj0WiQmpoKLy8vyGRmnRtrTHX25EyiCtPWnMbpxLKvFVSyLWXhqHD0DfUx6vNXBt8j+tgTXeyHPnPvSXV8n1gq8/vp3UOSJJ2QAgB+fn4AAJXq7heNWq3Grl278Nhjj2nHuLq6olevXvj7778NHkN1Q6ifM9a+3BHv9Q9GWTt3SpL7rI2xvFIzEZGJmf0xKvebP38+XF1d0a5dOwBAfHw8iouLERAQoDMuICAAe/bsMXhMaQoKClBQ8N+07NnZ2QDuJnWNxjjzc2g0GgghjLY+S1DdPZFJQHMfRzwogggAySo1Dl25hQ6B7tVSh6H4HtHHnuhiP/SZe0/MtS5zVKuCyvLlyzF//nz8/vvv2k1lJUHCzs5OZ6yDg4P2+BNDxpRm9uzZmDVrlt7ytLQ0ox3botFooFKpIIQwy82TplATPbmUkGHguDQEOpj2Cs18j+hjT3SxH/rMvSc5OTmmLqHWqDVBZc2aNRgzZgy+++47nV04zs7OAO4ec3Kv9PR0uLq6GjymNNOmTcOUKVO0t7OzsxEQEABPT0+jHqMiSRI8PT3N8pfJFGqiJ01y5QCuljtOYWcPLy+vaqnBUHyP6GNPdLEf+sy9J0ql0tQl1Bq1IqisW7cOTz31FL7++mu88MILOvf5+/vDzc0NJ0+exKOPPqpdfuLECbRs2dLgMaVRKBRQKBR6y2UymVHf+JIkGX2dtV1196R9oAd8nJW4qVI/cBfQO2vO4Oj1LLze5yH4uthWSy2G4HtEH3uii/3QZ849MceazJXZd2rDhg148skn8fXXX+PFF1/Uu1+SJIwaNQo//vijdovJzp07cezYMYwePdrgMVS3yGUSZgwMAQC9g2pLbrcOcIEAsOpYAnrM3Y3Zf5+DKq+oJsskIqrzzDqoZGdnY/jw4XBycsKmTZswZMgQ7b/t27drx/3vf/+Dn58fgoKC0LVrVwwYMADTp09H9+7dKzSG6pa+oT5YOCoc3s66m2C9nZX4dlQ41k7shDUvd0S7hm4ouKPBd3uuoMunO/HdnstQF5n2uBUiorrCrOdRKSwsxKZNm0q9r3Xr1mjQoIH2thACMTExSElJQWhoqN4ZPoaOeRDOo1Izaron5c1MK4TAzrhUzNkchwspuQAAX2clpjwchKGt/ap9Flu+R/SxJ7rYD33m3hPOo2I4sw4q5oZBpWaYa0+KNQJrjifgi20XkKy6e9ZXUD1HTO0XhB5BXpCk6gks5toPU2JPdLEf+sy9JwwqhjO/nx6RmZLLJAxvG4Bdb3bHtH7N4KS0wvmUHDy/5Cie/P4gYm5klr8SIiKqEAYVogpSWssxvltj7H27B8Z3DYSNlQyHrmZg6Df/4OVlx3AlLdfUJRIRWQwGFaJKcrGzwbRHg7H7ze54vI0/JAnYdPom+szbi/fXnUZqDi94SURUVQwqRFXk62KLucNb4u/JXdCzmReKNQJLD95At09344ut55FbcMfUJRIR1VoMKkRG0szbCT+NicCKFzugVYAL8ouK8dXOS+j26S4s2X8VhXd4bQ8ioopiUCEysg6B7lj7ckcsfDocjTzskX67EDM3xqL3F3uw4WQSNLwiMxGRwRhUiKqBJEnoF+aDra93xf+GhMLDQYEbGXmYtDwGg6P2Y/+lW6YukYioVmBQIapG1nIZRnVogD1vdceUPg/B3kaO04kqPL3oEJ756TDOJqlMXSIRkVljUCGqAfYKK0zq1RR73u6BMR0bwlouYe+FNPT/KhqvrYhBfEaeqUskIjJLDCpENcjDQYGZg5pj+5RuGNTSFwCw7kQSen2+Bx9ujEXG7UITV0hEZF4YVIhMoIG7Pb56qjU2vtIZnZq4o7BYg5/2X0W3T3chatcl5BfqXvSwWCNw8Eo61p9IxIHL6SjmAblEVEdYmboAoroszN8ZS8e2x76Lt/DJ33GITc7GZ1vO4+d/ruH1Pg9heBt/bD17EzM3nEFqbpH2cT7OSswYGIK+oT4mrJ6IqPoxqBCZmCRJ6PqQJzo38cCGk0mYu/U8EjLzMW3NaczffgEp2QV6j7mpUmPC0uNYOCqcYYWILBp3/RCZCZlMwpDWftjxRjdMHxACF1urUkMKAJTs+Jm1MZa7gYjIojGoEJkZhZUcz3duhM+faPXAcQJAskqNw1czaqQuIiJTYFAhMlOGXiOIFz8kIkvGoEJkprwclQaNk0lSNVdCRGQ6DCpEZqpdIzf4OCtRXgyZsvIEZm44yy0rRGSRGFSIzJRcJmHGwJBS7ysJLw/Vc0CRRmDJP9fQ7dPd+OTvOGTlcdI4IrIcDCpEZqxvqA+iRraGl4O1znJvZyW+HRWOra93w7IX2qNVgAvyi4rx7Z7L6DJnF77cftHgY1yIiMwZ51EhMnN9Q73R0kPC9TwrpOUWwstRiXaN3CCX3d2u0qmJBzo2dseOc6mYu/U84m7mYN72C1jyz1VM6N4Yz0Q2hNJabuJXQURUOQwqRLWAXCahQ6A7ZLLSN4JKkoTeIfXQs5kX/jqdjHnbLuDKrdv4v01xWLTvKl7t1RQj2gbAxoobUYmoduGnFpEFkckkDGzpi62vd8Wnj7eAn4stUnMK8MG6M+j5+W6sPpaAO8UaU5dJRGQwBhUiC2Qll+GJtgHY+WY3zBrUHJ6OCiRk5uPNVSfxyPy9+OtUMjSc0ZaIagEGFSILprCS49mODbH3rR54p18zuNhZ43LabUz87TgGfB2NnXEpEIKBhYjMF4MKUR1gayPHS90aY+/bPTC5V1M4KKwQm5yN55ccxWML/8E/l2+ZukQiolIxqBDVIU5Ka7ze5yHsfbsHxncNhNJahuM3sjDyh0N4etFBxNzINHWJREQ6GFSI6iA3extMezQYe9/qgWciG8BaLmH/pXQM/eYfvPDzEcQmZZu6RCIiALUkqAghcPHiRcTExCA7u+wP0KtXr+LgwYPIzCz7r0JDxhDVFV5OSnw4OBQ73+iO4W38IZOA7edS8ehX+/DKb8dxOS1X7zHFGoEDl9Ox/kQiDlxORzEPyiWiamT2QWXt2rUICgrCkCFDMGbMGHh7e+Pdd9/VGZOfn4/BgwcjLCwM48aNg6+vL+bNm1fhMUR1VYCbHT4b3hLbpnTDgBY+AIA/TyWjzxd78Naqk0jIzAMAbD6TjM5zduKpHw5i8ooTeOqHg+g8Zyc2n0k2ZflEZMHMfsK3jIwM7Nq1C35+fgCAvXv3olu3bujevTsefvhhAMDMmTMRExODy5cvo169eti4cSMGDRqEyMhIdOjQweAxRHVdY08HLBgZjgndVfhi6wXsiEvFqmMJWHciER0be2DPhTS9x9xUqTFh6XEsHBWOvqE+JqiaiCyZ2W9RGTt2rDakAECHDh1gZWWFmzdvapctWbIEL7zwAurVqwcAGDhwIFq0aIHFixdXaAwR3dXc1xk/jonAmpc7omNjdxQVi1JDCgCU7PiZtTGWu4GIyOjMfosKcHeryqlTp5CdnY2ffvoJbdq0wbBhwwAAiYmJSE1NRZs2bXQe06ZNG8TExBg8pjQFBQUoKCjQ3i45Pkaj0UCjMc7snhqNBkIIo63PErAnukzZj1b+zlg6th0WRV/F/22KK3OcAJCsUuPQlVvoEOhe7XXxPaKL/dBn7j0x17rMUa0IKpcuXcLMmTNx69YtJCUlYc6cOXBwcAAA7UGxbm5uOo/x8PDQ3mfImNLMnj0bs2bN0luelpYGtVpd+Rd0D41GA5VKBSFEmddxqWvYE13m0A+lpqD8QQAuJaQh0KG4mqsxj56YE/ZDn7n3JCcnx9Ql1Bq1Iqi0a9cOu3fvBgBER0ejd+/esLe3x8iRI2FjYwPg7sGy98rLy9PeZ8iY0kybNg1TpkzR3s7OzkZAQAA8PT3h5ORU5dcF3P1lkiQJnp6eZvnLZArsiS5z6EeTXDmAq+WOq+fhCi8vr2qvxxx6Yk7YD33m3hOlUmnqEmqNWhFU7tW5c2e0a9cOW7ZswciRI+Hv7w+ZTIbExESdcYmJiWjQoAEAGDSmNAqFAgqFQm+5TCYz6htfkiSjr7O2Y090mbof7QM94OOsxE2VGg86CuX1lScwplMjvNAlEG72Zf8RYAym7om5YT/0mXNPzLEmc2XWndJoNMjLy9NZVlhYiGvXrsHT0xMAYGdnh06dOmHDhg3aMbm5udi+fTv69Olj8BgiKptcJmHGwBAAgHTffSW3/VxskVekwTe7L6PznJ2Y/fc5pOcatsuIiKgsZr1FpaCgABEREXjuuecQEhKCrKws/PDDDygoKMCrr76qHffxxx+jV69eeOuttxAZGYkFCxbA29sb48aNq9AYIipb31AfLBwVjlkbY5Gs+u8YLW9nJWYMDMHDId7Ydi4FX+24iLNJ2fhuzxX88s91jI5sgHFdAuHpqL91koioPJIw80unpqSkICoqCjExMbC3t0fr1q3x4osvwtXVVWfcwYMH8c033yAlJQVhYWF4++239faVGzLmQbKzs+Hs7AyVSmXUY1RSU1Ph5eXFTYH/Yk90mVs/ijUCh69mIDVHDS9HJdo1coNc9t92FiEEdpxLxZc7LuJ0ogoAoLSW4en2DTC+WyC8HKu+b97cemJq7Ic+c+9JdXyfWCqzDyrmhEGlZrAnumprP4QQ2HU+FV9uv4iTCXcDi8JKhpHt62NCt8bwcqp8YKmtPaku7Ic+c+8Jg4rhzO+nR0QWQZIk9GxWD+smdsLi5yLQKsAFBXc0WLz/Gjp/ugszN5zFTZVxTvMnIsvFoEJE1UqSJPQI8sLalzvil+fboU0DVxTe0WDJP9fQ9dNdmL7+DJKy8stfERHVSWZ9MC0RWQ5JktD1IU90aeqB/ZfS8eWOCzhyLRO/HLiOFYfjMbytP17u0QR+LramLpWIzAiDChHVKEmS0LmpBzo1cceBK+n4cvtFHLqagWWHbuD3o/F4vE0AXu7eGAFudqYulYjMAIMKEZmEJEno2NgDHRt74OC/geXAlXQsP3wDq47G47Fwf0zs0QT13RlYiOoyHqNCRCbXIdAdy1/sgN/HR6JTE3fc0QisPBqPHp/vxlurTuJ6+m1Tl0hEJsKgQkRmo10jNyx7oQNWvxSJLk09UKwRWHUsAT0/34M3fj+Jq7cYWIjqGgYVIjI7bRu64dex7fHHhI7o9pAnijUCfxxPQK/Pd+P1lSdwJS3X1CUSUQ1hUCEis9WmgSt+fr4d1k3shJ7NvKARwNqYRDw8fx+m/30Vl1IZWIgsHYMKEZm9VgEu+GlMBDa80gm9g+8Glq3nM/DIl/vwym/HcSElx9QlElE1YVAholqjhb8LFj0bgQ0TO6JroDOEAP48lYxH5u/FxGXHEXcz29QlEpGRMagQUa0T6ueMTwc1wZ+vdELf5t4QAvjrdDL6zt+HCUuP4VwyAwuRpWBQIaJaK8TXCd+OboO/J3fBo2HeAIC/z9xEvy/34cVfjuLMv1dvJqLai0GFiGq9YB8nfPN0G2x5rSsGtPCBJAFbY1Mw4OtovPDzUZxOYGAhqq0YVIjIYgR5O2LByHBsfa0rBrX0hSQB28+lYOCCaDy/5AhOxmeZukQiqiAGFSKyOE3rOeKrp1pj2+vdMLS1H2QSsDMuFYOj9mPM4sOIuZFp6hKJyEAMKkRksZp4OWDeiFbYPqUbhoXfDSy7z6dh6Df/4JmfDuPYdQYWInPHoEJEFi/Q0wFfPNEKO9/ojsfb+EMuk7D3QhoeW/gPRi06hCPXMvQeU6wROHA5HetPJOLA5XQUa4QJKiciXj2ZiOqMhh72mDu8JV7t2QTf7LqMP44nIPrSLURfuoWOjd0xuVdTtA90x+YzyZi1MRbJKrX2sT7OSswYGIK+oT4mfAVEdQ+DChHVOQ3c7THn8RZ4pWcTfLP7ElYdTcA/l9Pxz+V0NPVywMVSpua/qVJjwtLjWDgqnGGFqAZx1w8R1VkBbnaYPawFdr/VHU+3rw8rGUoNKQBQsuNn1sZY7gYiqkEMKkRU5/m72uHjoWGYP6L1A8cJAMkqNQ5f1T+mhYiqB4OKAaKiohASEoKIiAhTl0JE1ahYGLalJDVHXf4gIjIKBhUDTJw4EbGxsThy5IipSyGiauTlqDTqOCKqOgYVIqJ/tWvkBh9nJaQHjLGSSfBwsKmxmojqOgYVIqJ/yWUSZgwMAYAyw8odjcDgqP1Yczyh5gojqsMYVIiI7tE31AcLR4XD21l3946PsxKzh4WhQ6Ab8gqLMeX3k5jy+wncLrhjokqJ6gbOo0JEdJ++oT7oE+KNw1czkJqjhpejEu0auUEuk/BE2wBE7bqE+dsvYM3xRJy4kYWvR7ZGc19nU5dNZJG4RYWIqBRymYTIxu4Y3MoPkY3dIZdJ2uWTejXF8nEd4O2kxJVbtzE06h/8/M81CAPPGiIiwzGoEBFVQvtAd/w9uQt6B3uhsFiDGRvOYvyvx5CVV2jq0ogsCoMKEVEludrb4Idn2mL6gBBYyyVsjU3Bo1/uw9FSLnJIRJXDoEJEVAWSJOH5zo2wZkInNHS3Q5JKjRHfH8SCnRc51T6RETCoEBEZQZi/M/6c1AVDWvmiWCMwd+sFPPPTIc5iS1RFDCpEREbioLDCvBGt8OnjLWBrLcf+S+l49Mt92HMhzdSlEdVaDCpEREYkSXdPYd74aic083bErdxCPPvTYcz++xyKijWmLo+o1mFQISKqBk28HLFuYieM6lAfAPDdnisY/u0BxGfkmbgyotqFQYWIqJooreX435AwLHw6HI5KK5yIz8KjX+3DptPJpi6NqNZgUCEiqmb9wnywaVIXtK7vghz1Hby87DjeW3sa6qJiU5dGZPYYVIiIakCAmx1+Hx+JCd0bAwCWHbqBIVH7cSk1x8SVEZk3s7/Wz8mTJ3H16lWdZU5OTujZs6fe2JiYGKSkpKB58+YICAgodX2GjCEiqg7Wchmm9m2GyEB3TPn9BOJu5mDg1/sxa1BzDG/rD0mSUKwRpV5jiKiuMvugsnDhQmzcuBERERHaZQ0aNNAJKjk5ORgwYADOnTuHoKAgHDt2DG+//TZmzpxZoTFERDWh60Oe2DS5C6asPInoS7fw9h+nsP/yLXR/yBOfbjmPZNV/c6/4OCsxY2AI+ob6mLBiItMx+6ACAJGRkVi9enWZ97///vtITEzE+fPn4erqip07d6JXr17o3r07unfvbvAYIqKa4uWoxC/Pt8O3ey/j860XsP5EEtafSNIbd1OlxoSlx7FwVDjDCtVJteIYlezsbGzduhWHDh1Cbm6uzn1CCCxduhRjx46Fq6srAKBnz55o06YNfv31V4PHEBHVNJlMwsvdm2D5uPYoa+9OyST8szbGckp+qpNqxRaVQ4cO4ZNPPkFiYiLS0tKwYMECjBw5EgCQkJCAjIwMtGzZUucxrVq1wsmTJw0eU5qCggIUFBRob2dnZwMANBoNNBrjTNyk0WgghDDa+iwBe6KL/dBnaT25U6zBgzKIAJCsUuPQlVvoEOiud7+l9cMYzL0n5lqXOTL7oPLYY49h7ty5cHBwAAB88skneO6559CqVSuEhIRApVIBgHZLSQl3d3dkZWUBgEFjSjN79mzMmjVLb3laWhrUauNcv0Oj0UClUkEIAZmsVmzgqnbsiS72Q5+l9eRSgmFXW76UkIZAB/1Tmi2tH8Zg7j3JyeHZXoYy+6DSp08fndtTp07FZ599hr/++gshISGwsbEBAOTl6c72mJubC4VCAQAGjSnNtGnTMGXKFO3t7OxsBAQEwNPTE05OTpV/UffQaDSQJAmenp5m+ctkCuyJLvZDn6X1pEmuHMDV8sf5e8LLq/QtKpbUD2Mw954olUpTl1BrmH1QuZ8kSXB2dkZqaioAoH79+pDL5YiPj9cZFx8fj0aNGhk8pjQKhaLUICOTyYz6xpckyejrrO3YE13shz5L6kn7QA/4OCtxU6VGWXuA5BIgk8p+vZbUD2Mx556YY03myqw7pdFokJGhu0n05MmTuHbtGsLDwwHcTaU9evTAH3/8oR2TmZmJHTt2oF+/fgaPISIyFblMwoyBIQCAsmZMKRbAU4sOYvamcyi4wxltqe6QhBBmexh5UVERwsLCMGzYMDRv3hw3btzA/Pnz0bJlS2zatAlWVnc3CB09ehRdunTBqFGjEBkZie+++w75+fk4fPiwdvOaIWPKk52dDWdnZ6hUKqPu+klNTYWXlxcT9r/YE13shz5L7cnmM8mYtTFWbx6Vtx8JwoEr6fj9aAIAoJm3I754ohVCfO9+DllqP6rC3HtSHd8nlsqsgwpw94e5aNEixMTEwNXVFV26dMHjjz8OSdL9u+Ps2bP47rvvkJKSgrCwMEyaNEnvh2/ImPJqYVCpfuyJLvZDnyX35EEz0249exPT1pxG+u1CWMslTOkThBe7BkKCsNh+VJa5v0cYVAxn9kHFnDCo1Az2RBf7oa8u9+RWbgGmrTmNbbEpAICIhq747PEWUN7JrZP9KIu5v0cYVAxnfj89IiIqk4eDAt+PboNPH28Bexs5jlzLRP+vorH+zC3w706yRAwqRES1jCRJeKJtADa/1hXtGrnhdmExZm+/jhd/PY60nILyV0BUizCoEBHVUgFudlg+rgOm9QuCtVzCjrhUPDJ/LzafuWnq0oiMhkGFiKgWk8skjOsSiMVPBSPYxxEZtwvx0tJjeOP3k8hWF5m6PKIqY1AhIrIATTxssWZCJF7q1hiSBPxxPAH95u/Dgcvppi6NqEoYVIiILITCSo53+jXD7+MjUd/NDolZ+Ri56CD+92cs1EWcJI5qJwYVIiILE9HQDZsmd8FT7QIgBLAo+ioGLYjGmUSVqUsjqjAGFSIiC+SgsMLsYS3w47Nt4eGgwIWUXAz9Zj+idl3CnWINgLuTyx24nI71JxJx4HI6ijU8vZnMT627KCERERmuV3A9bHnNBe+uPY0tZ1Pw2Zbz2HEuBUNa+WHhnst60/XPGBiCvqE+JqyYSBe3qBARWTh3BwW+HdUGnw9vCUeFFY7fyML0DWd1QgoA3FSpMWHpcWw+k2yiSon0MagQEdUBkiThsTb++HNSZ9jIS79Gc8mOn1kbY7kbiMwGgwoRUR2SlKVGYXHZIUQASFapcfhqRs0VRfQADCoGiIqKQkhICCIiIkxdChFRlaTmqMsfVIFxRNWNQcUAEydORGxsLI4cOWLqUoiIqsTLUWngOEU1V0JkGAYVIqI6pF0jN/g4K1H6USr/+WrHRdxIz6uRmogehEGFiKgOkcskzBgYAgB6YaXktrVcwoErGXhk/l4s2X8VGh5YSybEoEJEVMf0DfXBwlHh8HbW3Q3k7azEt6PCsX1KN7Rv5Ib8omLM3BiLEd8fwJW0XBNVS3UdJ3wjIqqD+ob6oE+INw5fzUBqjhpejkq0a+QGuezudpXl4zpg2eEb+GTTORy5lol+X+7DlD4P4YUugdoxRDWBQYWIqI6SyyRENnYv9T6ZTMLoDg3QI8gT09acxr6LtzD77zhsOnMTnz3eAg/Vc6zhaqmu4q4fIiIqk7+rHX55vh0+fawFHJVWOBmfhf5f7cPXOy6i6N9rBhFVJwYVIiJ6IEmS8EREALa93g29mnmhqFjg820XMHjBfpxN4hWZqXoxqBARkUG8nZVY9GxbzB/RCi521ohNzsbgBfvxxdbzKLhTbOryyEKZ/TEq/fr1Q35+vt7ygQMH4o033tDePnToEL755hukpKQgLCwMb7/9Njw9PXUeY8gYIiIqmyRJGNLaD52aeGD6+jP4+8xNfLXzEjafvYlPH2+JVgEuAIBijSjzQF2iijD7oPLuu++iuPi/pB4XF4cJEyZgwoQJ2mXR0dHo2bMnJk2ahEGDBiEqKgqdOnVCTEwM7O3tDR5DRESG8XRUYOGoNth0OhnT15/BhZRcDPtmP8Z1CURzXyfM/jtO5+rMPs5KzBgYgr6hPiasmmojSQhRq2byefPNN7FkyRIkJSXBxsYGANCtWzd4eXlh1apVAIDc3Fz4+Pjgo48+wmuvvWbwmPJkZ2fD2dkZKpUKTk5ORnk9Go0Gqamp8PLygkzGPXEAe3I/9kMfe6LL1P3IuF2IDzeexboTSWWOKdmWsnBUeI2EFVP3pDzV8X1iqczvp/cARUVF+PXXX/Hss89qQ0peXh6io6MxaNAg7TgHBwf07t0bW7duNXgMERFVjpu9DeY/2RrfjWqDsvbulPxFPGtjLIo50y1VgNnv+rnXxo0bkZqaihdeeEG7LCEhARqNBn5+fjpj/fz8sGvXLoPHlKagoAAFBQXa29nZ2QDuJnWNxjin5Wk0GgghjLY+S8Ce6GI/9LEnusylH45KOR6UQQSAZJUah67cQofA0udvMRZz6UlZzLUuc1SrgsqPP/6Izp07Izg4WLussLAQAGBra6sz1s7OTnufIWNKM3v2bMyaNUtveVpaGtRq41wCXaPRQKVSQQhhlpsnTYE90cV+6GNPdJlLPy4lZBg4Lg2BDtV7lpC59KQsOTk5pi6h1qg1QSUxMRFbtmzBTz/9pLPc1dUVAJCenq6zPD09XXufIWNKM23aNEyZMkV7Ozs7GwEBAfD09DTqMSqSJMHT09Msf5lMgT3RxX7oY090mUs/muTKAVwtf5y/J7y8qn+Lijn0pCxKpbL8QQSgFgWVxYsXw8HBAcOHD9dZ7ufnBy8vLxw/fhwDBgzQLj9y5AgiIyMNHlMahUIBhUKht1wmkxn1jS9JktHXWduxJ7rYD33siS5z6Ef7QA/4OCtxU6VGWXuAHJVWaNfIvUbqNIeelMUcazJXtaJTQggsXrwYo0aN0tt9AwBjxozBokWLkJKSAuDusSynT5/GmDFjKjSGiIgqTy6TMGNgCID/zvK5X476Dj5Yf4bT75PBasUWlV27duHKlSsYN25cqffPnDkT586dQ5MmTdCoUSNcvHgRX3zxhc7WEkPGEBFR1fQN9cHCUeGYtTFWbx6VLk09sPpYApYfjkdCZj6+eTocjkprE1ZLtUGtCCqBgYHYt28fWrZsWer9tra22LBhA65cuYKUlBQEBQXBzc2twmOIiKjq+ob6oE+Id6kz0/YJ8cak5THYd/EWhn97AD+NiYCvi/6WcqIStW7CN1PihG81gz3RxX7oY0901bZ+nE5Q4fmfjyAtpwBejgr8NCYCoX7ORn0Oc+8JJ3wznPn99IiIyKKF+Ttj3cROeKieA1JzCvDEdwew41yKqcsiM8WgQkRENc7PxRarJ3REl6YeyCssxrhfjuLnf66ZuiwyQwwqRERkEk5Ka/w0JgJPRgRAI4AZG87iQ06xT/dhUCEiIpOxlsswe1gY3nokCADw0/6rmLD0GPIK75i4MjIXDCpERGRSkiRhYo8m+Oqp1rCxkmFrbAqe/P4gUnOMc6kSqt0YVIiIyCwMaumL315oD1c7a5xKUGFo1D+4mMJr4tR1DCoGiIqKQkhICCIiIkxdChGRRWvb0A1rXu6Ehu52SMzKx7CF/2D/pVumLotMqFbMo6JSqbB//35kZmaifv366NSpk8558fv378e5c+d0HuPm5oZhw4bpLCsqKsLu3buRkpKCsLCwMieQKwvnUakZ7Iku9kMfe6LLEvuRcbsQL/5yFEevZ8JKJmH2sDAMbxuAYo0odSK5+5l7TziPiuHMfmbazZs3Y8SIEQgNDUXDhg2xf/9+ODo6YufOnfD09AQA/Prrr9iyZQt69eqlfZyfn59OUElPT0evXr2Qm5uLsLAwTJw4EaNHj8aCBQtq/DUREdGDudnbYOkL7fHW6lPYeDIJb60+hZ1xqYiJz8LN+6bmnzEwBH1DfUxYLVUnsw8q77zzDgYNGoRff/0VAJCbm4vGjRsjKioKM2fO1I5r06YNFi1aVOZ6pk2bhqKiIpw8eRL29vY4cuQI2rdvj/79+6Nfv37V/TKIiKiClNZyfDmiFeq72SJq12X8feam3pibKjUmLD2OhaPCGVYslPltD7uPEAL16tXT3ra3t4ejo6PeuLS0NPz222/466+/tFdILqHRaLBy5Uo8//zzsLe3BwBERESgQ4cOWL58efW+ACIiqjSZTMKUPkFwti394oUlxy7M4vwrFsvst6gsWLAAL7zwAiRJQoMGDbB9+3Y0atQIkydP1hl3+fJlrFu3DomJiYiJicHcuXPx8ssvAwDi4+ORnZ2NkJAQncc0b94cx44dK/O5CwoKUFBQoL2dnZ0N4G7w0WiMc4lyjUYDIYTR1mcJ2BNd7Ic+9kSXpffj0JV0qPKLyrxfAEhWqXHoyi10CHQHYP49Mde6zJHZBxVXV1d4eHhg7969aNy4Mc6ePYvu3btDoVBoxzz77LP4+uuvYW19N3H/8MMPmDBhAjp06IDw8HBtwHB1ddVZt5ubm/a+0syePRuzZs3SW56Wlga12jjn92s0GqhUKgghzPKAL1NgT3SxH/rYE12W3o9LCRkGjktDoEMxAPPvSU4OT7s2lFkHleLiYgwYMAADBgzQHvSal5eHVq1aYdq0afjyyy8BAJGRkTqPGzduHN577z1s3boV4eHhsLW9ewnx+98YOTk52vtKM23aNEyZMkV7Ozs7GwEBAfD09DTqWT+SJMHT09Msf5lMgT3RxX7oY090WXo/muTKAVwtf5y/J7y8/tuiYs49USqVpi6h1jDroJKUlITr169j4MCB2mV2dnbo1asX9u/f/8DH2traIiPjbgqvX78+rK2tce3aNZ0xV69eRZMmTcpch0Kh0NlyU0Imkxn1jS9JktHXWduxJ7rYD33siS5L7kf7QA/4OCtxU6XGg45C2Rqbilb1XWFnc/erzZx7Yo41mSuz7pS3tzcUCgVOnTqls/zUqVNo0KABgLtbXeLj43XuP3DgAOLj47VbWmxsbPDII49gxYoVKJk2Jjk5Gbt27dIJQUREZH7kMgkzBt49xvD+GVPuvb3kn2voO38f/rnMCeIsiVlvUbG2tsbMmTMxffp0JCYmIjAwENu2bcOJEyewb98+AHfPCurXrx86duyI5s2b48aNG/j+++/xxBNPYPDgwdp1zZkzBx07dsRjjz2GDh064Oeff0abNm0wevRoU708IiIyUN9QHywcFY5ZG2ORfM88Kt7/zqOisJbj3TWncSMjDyN/OISnIgIwtq07vACDJ4kj81QrZqY9cOAAtmzZgvT0dDRo0ABPP/00fHz+O1++oKAAK1euRExMDFxdXdGlSxf06NFDbz03btzAkiVLtDPTPvfcc6Xu2ikLZ6atGeyJLvZDH3uiqy7140GhI0ddhE/+jsOyQzcAAJ4O1ni8TQDWnUjSCTfmMEkcZ6Y1XK0IKqYWFRWFqKgoFBcX48KFCwwq1Yw90cV+6GNPdLEfug5cTsc7f5zC9Yy8Uu8v2ZZiykniGFQMx3e0ASZOnIjY2FgcOXLE1KUQEVE5Ihu7Y+MrnWBnXfpXHCeJq10YVIiIyOKcSVIhr6jsSdVKJok7fNWwOVrIdBhUiIjI4qTmFJQ/CMDVW7nVXAlVFYMKERFZHC9Hw06UmLHhLN5bexpX0hhYzJVZBJXMzEycOHECubllv1HS09MRFxf3wKnrjTWGiIhqt4iGbvBysNabd+Ve1nIJRcUCyw7dQK8v9uCFn4/g4JV08BwT82LSoHL69GmMGTMGTZs2RevWrXH06FG9MUVFRXj22Wfh6+uLPn36wMvLCz/99FO1jCEiIssgl0l4vXsAgNIniZMAfPVka6x4sQN6B3tBCGD7uVQ8+f1BDFqwH+tPJKKoWPcYl2KNwIHL6Vh/IhEHLqfzQNwaYtKg8s8//6Bbt244cOBAmWM+/vhjbN26FefPn0d8fDy+/fZbjBs3DjExMUYfQ0RElqNHE1dEjWwNb2fd6+p4OyuxcFQ4+oX5oEOgOxY9G4Edb3TD0+3rQ2Elw+lEFSavOIFun+7C93svI1tdhM1nktF5zk489cNBTF5xAk/9cBCd5+zE5jPJJnp1dYdZzKOSkJCAgIAA7Nq1C927d9e5z8/PD88//zw++ugj7bKQkBD06NEDUVFRRh1THk74VjPYE13shz72RBf7oe/enghIBs9Mm3G7EEsPXscvB67hVm4hAEBhJUPBHf0ziKoyHwvnUTGcWU+hn5ycjKSkJLRr105neYcOHXD8+HGjjiEiIsskl0mIbOxu0Fg3extM6tUUL3YNxIYTSfhh32VcTL1d6liBu2Fl1sZY9Anx5rT81cSsg0p6ejoAwN1d9w3m7u6OW7duGXVMaQoKClBQ8N8pbtnZ2QDuJnWNpuzz8ytCo9FACGG09VkC9kQX+6GPPdHFfuirak9s5BIeb+MHPxcFnv6x7Mk+S+ZjOXTlFjoEGhaGSuojw5h1ULG2tgYAnbBQcrvkPmONKc3s2bMxa9YsveVpaWlGO2tIo9FApVJBCMFNtv9iT3SxH/rYE13shz5j9eRyomETwl1KSEOgQ7HB683JyalsSXWOWQcVPz8/SJKE5GTdg5WSkpIQEBBg1DGlmTZtGqZMmaK9nZ2djYCAAHh6ehr1GBVJkuDp6ckPmH+xJ7rYD33siS72Q5+xetIkVw7gavnj/D3h5WX4FhWlUln+IAJg5kHFwcEB7dq1w6ZNmzBy5EgAgFqtxo4dOzBt2jSjjimNQqEo9erKMpnMqB8GkiQZfZ21HXuii/3Qx57oYj/0GaMn7QM94OOsxE2VGqWdeSLh7llE7QM9IKvAMSr8ORnOpEElIyMDN27cQGpqKgDg0qVLcHFxgbe3N7y9vQEAH374Ifr374/g4GBERkZi/vz5cHR0xPjx47XrMdYYIiKie8llEmYMDMGEpcchATphpSSWzBgYwgNpq5FJI110dDTGjBmDt99+Gy1btsSCBQswZswYrFu3Tjvm4YcfxqZNm3Do0CFMmzYNXl5eiI6OhrOzs9HHEBER3a9vqA8Wjgovcz6Wip6aTBVjFvOo1BacR6VmsCe62A997Iku9kNfdfSkWCMMno+lPJxHxXBmfYwKERGRuajIfCxkPIzeREREZLYYVIiIiMhsMagQERGR2WJQISIiIrPFoEJERERmi0GFiIiIzBaDChEREZktBhUiIiIyWwwqREREZLYYVIiIiMhsMagQERGR2WJQISIiIrPFoEJERERmi0GFiIiIzJaVqQuoTYQQAIDs7GyjrVOj0SAnJwdKpRIyGXMjwJ7cj/3Qx57oYj/0mXtPSr5HSr5XqGwMKhWQk5MDAAgICDBxJUREZAlycnLg7Oxs6jLMmiQY5wym0WiQlJQER0dHSJJklHVmZ2cjICAA8fHxcHJyMso6azv2RBf7oY890cV+6DP3ngghkJOTA19fX7Pc4mNOuEWlAmQyGfz9/atl3U5OTmb5y2RK7Iku9kMfe6KL/dBnzj3hlhTDMMYRERGR2WJQISIiIrPFoGJiCoUCM2bMgEKhMHUpZoM90cV+6GNPdLEf+tgTy8GDaYmIiMhscYsKERERmS0GFSIiIjJbDCpERERkthhUzEBKSgqOHTuGq1evljkmMzMTR48eRWJiYg1WZjp5eXmIiYlBampqmWPi4uIQExODwsLCGqzMtA4cOIBjx46Vep9KpcLRo0eRkJBQw1XVvIKCApw6dQo3btx44BTk58+fx/Hjx1FQUFCD1dW8Cxcu1InXWZrCwkKcOnUK165de+B74eLFizh+/DjUanUNVkdGIchksrOzRf/+/YWDg4No06aN8PDwEGFhYSIuLk5n3CeffCKUSqUIDg4WSqVSjBw5UhQWFpqo6ur3v//9T9jb24uwsDDRqFEj8dJLLwmNRqO9/8aNG6Jly5bC3d1dNGrUSHh6eort27ebsOKaERUVJWQymWjcuLHeffPmzdO+R2xtbcXjjz8u1Gq1CaqsXiqVSrzyyivCxcVFtGjRQnh5eYkWLVqIEydO6IxLSkoSbdq0Ea6uriIwMFC4u7uLTZs2majq6pOcnCzatWsnXFxcRGBgoHBzcxN//vmnqcuqETk5OeK1114Trq6uIiwsTNSrV0+EhISIo0eP6oxLSUkRHTp0EC4uLqJJkybC1dVVrF+/3kRVU2UwqJjQ9OnThZeXl7h586YQQgi1Wi06d+4sHnnkEe2Y7du3C5lMpv0ivnr1qvDw8BAff/yxSWqubnPnzhWOjo7i4MGD2mXff/+9KCgo0N7u3r276N69u3bZ1KlThaurq8jMzKzpcmvMyZMnhb+/v3j++ef1gkp0dLSQJEn89ddfQggh4uPjhbe3t/jggw9MUWq1unDhgvj6669Ffn6+EEKIgoICMXz4cNGoUSOdcX379hUdO3bUjpsxY4ZwcnISaWlpNV5zdRowYIBo3769yMvLE0II8dFHHwkHBweRkpJi4sqq37Vr18S8efO0r72wsFCMGjVK+Pn5ieLiYu24IUOGiLZt24rbt28LIYSYPXu2sLOzE8nJySapmyqOQcWEJkyYIDp06KCzbPLkySI8PFx7e+TIkaJz5846Y1577bVS/6qu7dRqtXB1dRXTp08vc8yVK1cEALF582btsszMTGFtbS0WL15cA1XWvNu3b4vg4GCxdu1a8d577+n97J9//nnRtm1bnWXvvPOO8PPzq8kyTWbz5s0CgEhMTBRCCJGYmCgkSRLr1q3TjsnNzRW2trZi4cKFpirT6G7evCkkSRKrV6/WLsvLyxP29vbi66+/NmFlprN7924BQFy+fFkIIURaWpqQyWRixYoV2jH5+fnC0dFRzJs3z0RVUkXxGBUTmjRpEhISEjBjxgzs2LED3377LVauXIlZs2Zpx8TExKBNmzY6j2vXrh0uX76svZqzpTh+/DgyMzMxcOBApKSk4Pjx48jKytIZExMTAwA6PXFxcUHTpk2191maV199FZ07d8aQIUNKvb+s90hiYiLS0tJqoELTOnLkCBwcHFCvXj0AwIkTJyCE0OmJvb09goODLeo9cvLkSb3XaWtri+bNm1vU66yII0eOQKlUws/PDwBw6tQpaDQanR4plUqEhYXV2R7VRrwooRGlpaXh/PnzDxzTpEkTeHt7a////PPP48svv8TGjRtx48YNPPzww+jUqZN2fEZGBtzd3XXWUXI7IyMDjo6ORn4VxnX8+HHk5eWVeb+1tTXat28PAEhKSgIALFu2DMuXL4e3tzfOnz+P5557DgsWLIBMJkNGRgYAwM3NTWc97u7u2vvMWXp6Os6dO/fAMYGBgfD19QUArFixAtHR0Th+/HiZ48t7j3h6elax6up14sQJ5Obmlnm/XC5HZGRkqfedPHkSs2fPxvvvvw+5XA4A2vdBaT2pDe8RQ9WV12mo2NhYfPjhh3j77be1s9GyR5aBQcWIYmJi8OGHHz5wzFtvvYXBgwcDAKZNm4ZVq1YhLi4O3t7eyM/Px9ChQzF06FDs3r0bwN0v8vuPUs/PzwcA2NjYGP9FGNnnn3+O69evl3m/i4sL/vzzTwB3Xytw90yN69evQ6FQ4NSpU+jQoQNatmyJ8ePHa8cUFBTA1tZWu578/Pxa0Y/Tp0/j/ffff+CYyZMnY/jw4cjKysL48eMxa9Ys7V9/8fHxUKvViI6ORkhICNzc3Gr9e+TLL7/ExYsXy7zfzs4OW7du1Vt+8eJF9OvXD4899hjeeecd7fKS94hardZ7j5h7aKuIe1/nvX+w5Ofnm/0fMMZ27do19O3bF/369cP06dO1y+/t0b3y8/PN9orKpI9BxYgefvhhPPzwwwaP//PPP/HYY49pt7DY2tpi7NixeOKJJ6BSqeDs7IwGDRronZKcmJgIhUIBLy8vo9ZfHZYtW2bw2IYNGwIAnnvuOe1fRC1atEBkZCT27duH8ePHo0GDBgDu9qBJkybaxyYlJWHAgAHGK7yadO/eHdHR0QaNVavVCAsLw+rVq7F69WoAwI0bN5Ceno533nkHs2fPRpcuXcp8j8jlcu2WGXO2ePHiCj/m0qVL6NGjB3r06IHFixdDkiTtffe+R1xdXbXLExMT0blz56oXbCbufZ33BrDExES0bdvWVGXVuGvXrqF79+5o164dli1bpt2yBuj2yMfHR7s8MTERoaGhNV4rVQ6PUTEhT09PvTkv4uPjYWtrq/2LqE+fPtiyZYvOXCHr169Hz549dX4hLUFoaCh8fX11vnSFEEhKStJ+ELdv3x6Ojo7YsGGDdsyRI0eQlJSEPn361HjN1cnb2xvR0dE6/5555hn4+fkhOjoaXbp0AXD3PbJt2zadvxrXr1+Prl27WuQF2a5cuYIePXqga9eu+OWXX/R+D9q0aQM3Nzed98jp06dx9epVi3qPtGrVCh4eHjqv89y5c7h48aJFvc4HuXHjBnr06IG2bdtixYoVsLLS/ds7LCwM9erV0+nRhQsXcO7cuTrTI4tg4oN567Tff/9dSJIk3n33XbF161bx1VdfCWdnZ/HGG29ox6Snpwt/f38xcOBAsWHDBjF58mShUCjE4cOHTVh59Vm2bJlwdXUV33zzjdi8ebMYM2aMcHBwEBcuXNCO+fzzz4WdnZ2IiooSK1euFE2bNhWDBg0yYdU1p7SzfrKyskTDhg1F3759xfr168Wbb74prK2tRXR0tImqrD5JSUmifv36omXLlmL37t1i37592n85OTnacVFRUUKpVIovv/xS/P777yI4OFg8/PDDJqy8enz33XdCoVCI+fPni1WrVonmzZuLnj17mrqsGpGamioCAwNFSEiI2LVrl857QaVSacf9+OOPwsbGRnzxxRdi9erVIiwsTHTr1k1nbiYyb7x6sont3bsXS5YsQXx8PDw9PdG/f3889dRTkMn+29iVkJCATz75BOfOnYOvry8mTZqEiIgIE1ZdvTZv3oyffvoJKpUKzZo1w2uvvYZGjRrpjFm+fDlWrFiB/Px89OjRA6+//jqUSqWJKq45P/zwA3bs2IEVK1boLE9OTsYnn3yCM2fOwNvbG6+88kqZB6DWZkePHsVrr71W6n0//vgjgoKCtLdXrVqFZcuWIS8vD127dsWUKVNgZ2dXQ5XWnDVr1uDXX39Fbm4uunTpgjfeeAP29vamLqvanT59GhMmTCj1voULFyIsLEx7e926dfjll1+Qk5ODTp064a233qoTPbIUDCpERERktniMChEREZktBhUiIiIyWwwqREREZLYYVIiIiMhsMagQERGR2WJQISIiIrPFoEJERERmi0GFiGqtffv24fLly2XeHxsbix07dtRgRboOHTpU7tWyiejBGFSIquDWrVtYsWIFNBqNqUupMebymq9du4Zhw4Y9cIbRNWvWYMaMGdVax9mzZ7F+/Xrs3LkTN2/e1LkvKysLQ4cORVFRUbXWQGTJGFSIqiAuLg5PPfWUzkUjLZ25vOaZM2di5MiR2quP17RDhw4hLCwMvXr1wqJFi/DJJ5+gXbt2GD58OLKysgAAjzzyCOzs7LBkyRKT1EhkCazKH0JEpcnJydHuVli1ahWsra3RqFEjtG/fHgCQlpaGw4cPQ6lUIjw8HK6urtrHpqSkYNeuXRgxYgTOnj2LK1euIDg4GE2bNoUQAocPH0ZqairCw8Ph5+dX6uNKrggcGhqKxo0b69VnyPM/+eSTOHLkCK5fv44ePXpAqVRi48aNAAAbGxsEBgaiZcuWkCTpga/Zx8cHx44dw9ChQ7XPkZWVhc2bN2PYsGGwsbEp8znd3d0B3N1Nc+HCBfj5+aF169Z6V8K9V3p6OlasWIEDBw7oLC8qKsLevXshhEDr1q3LfHx5z1VYWIi9e/cCAFq3bo2UlBQkJyejV69e2sf36tULzz//PObOnQsbGxsAd6/2vW7dOuTl5cHFxQUAMHr0aERFRWHcuHFl1kNED2DCCyIS1WqJiYmiV69eAoAYPny4GDFihPjmm2+EEELMnz9fODs7iz59+ogePXoINzc3sXbtWu1jt23bJgCIbt26ifbt24tevXoJmUwmPvvsM9G1a1fRsWNH0b17d2FnZyd27typ97h+/fqJFi1aiB49emivnnsvQ5+/f//+Ijw8XDzxxBPi4sWLIjU1VYwYMUKMGDFCDBkyRPj5+YnOnTuL3NzcB77m5cuXC3d3d50aYmJiBACRlpb2wOfMy8sTQ4YMET4+PmLgwIEiJCREtGjRQly/fr3M3i9fvly4urrqXAE3NTVVhIaGioCAANG3b1/h5+cnunTpIjp16qQdY8hzJScni6CgIFG/fn3Rt29f4e/vr7eexx57TDRu3FgUFhaWWWOJEydOCADixo0b5Y4lIn0MKkRVsG/fPgFA5Ofna5ft2bNHODs7i7i4OO2y1atXCxcXF5GZmSmE+O9Le/bs2doxb7zxhgAg5s2bp102fvx40aNHD+3tkseNHTtWu2z58uXCxsZGXLt2rcLPP3Xq1Ae+PrVaLdq2bSv+97//PfA1VySo3P+cU6ZMEd26ddOuT6PRiNGjR4vBgweXWddbb70lOnbsqLNswoQJIjw8XBuqzp8/L2xtbXUChiHP9eKLL4rw8HBx+/ZtIYQQly5dEvb29jrrcXR0FK+99lqZ9d2rqKhISJIk1qxZY9B4ItLFXT9ERrZkyRIEBQXh9OnTOHXqFIQQ0Gg0yM3NRUxMDHr06KEdO378eO3/IyMjIUkSXnzxRZ1lf/75p95zvPXWW9r/P/nkk3jnnXewbt06TJ48uULPP2nSJL11CyEQExODGzduQK1WIyAgAIcPH65yX0p7TiEElixZgpEjR+LPP/+EuPvHE3x8fLB+/foy13Hr1i2dXVkA8Pvvv2POnDnag2sfeughDB06FNevX6/Qc61evRqffvop7OzsAACNGzfG0KFDcfXqVQDA7du3kZOTg/r16xv0eq2srODo6Ihbt24ZNJ6IdDGoEBnZtWvXkJmZidWrV+ssf+yxx6BUKnWW3ftlq1AoYGNjo/2CLFmmVqv1nqNhw4Z6t0u+kCvy/D4+Pjq3U1NT0bt3b2RkZKBFixZwcnLCpUuXHnhmTUXd+5w5OTnIyMjAmTNnkJaWpjOuX79+KCoqgrW1td46HBwctMEBAPLy8pCenq7Xl0aNGmn7YshzFRUVISMjo9T+ljyfra0t5HI50tPTDX7NeXl5cHR0NHg8Ef2HQYXIyJycnNCsWTOsWLGi2p4jMzNT52yXzMxMeHh4VPj5Sw6SLTF37lw4ODggJiYGcrkcAPDaa6/h4MGDD1yPTCbTO125tIB1/3Pa2trCysoKo0ePxvPPP19uvSUeeughbNiwQWc9tra2yMzM1Bl3721DnsvKygq2trbas3ZKW49MJkPbtm3L7UmJ+Ph43LlzB0FBQQaNJyJdPD2ZqAocHBwA6H4p9+3bF9u2bdObiCwl5f/buZuQ1LYwDMBvpyShIAghIyISCQrCSSilZmAOGiRlqBhCkBAEBhHNihpY48BJIBERFDkohEgiEvshHIRm9iMEEUJidxAIglQk3cHhypWO3Tp1OB7u+4z82+vbn7Dhda21/QuZTOZL6no8nuzjq6srnJ+fQ6lUfrr+3d0dpFJpNqQ8Pj6+Wnr6Uc81NTVIJpM5yxt+v/8/+xAIBNBqtXC5XK+CTjwez3ucVqtFLBbD7e0tgO/hR6lU5nwvT09POef+nlpFRUVobW3NWQp6fn6G1+vN+fzY2Bh8Pl/2Dql/SyaTSKVS2edHR0cQiUSQyWR5+yGi/DijQvQJUqkUFRUVmJiYgEqlgkQigc1mg8fjgVKphN1uR1VVFSKRCLa3t3F2dpYNAZ8xOzuLRCIBkUiEubk5dHV1QaPRAMCn6vf09MBisUAikUAsFmNpaQn39/fZ2Zp8PSsUCjQ0NMBoNMJqtSIajcLtdr+rF6fTCY1GA7VaDYvFgkwmA7/fj8rKSiwuLv7wmMbGRiiVSqytrWF8fBwAMDMzg/b2dgiFQsjlcqyuriKdTn+4lsPhQEdHB4RCIVpaWuB2u5FKpXJmgkwmE6LRKIxGI/r7+6FSqfDw8IDLy0t4vV7s7e1ll3rcbjcGBwfx7Rt/FxL9DF45RJ9QXl4On88HgUCAzc1NhEIhCAQCbG1twel0Ih6P4/j4GE1NTQiHw9k9ImKxGGazOWesmpoamEymnNfq6upgMBhe1Q0EAiguLkYoFMLIyAjW19ez7/1sfQAwGAzY2NhAIpFAMBiE3W7HwsICdDrdmz2XlJTg8PAQarUagUAAtbW12NnZgdlsRmlp6Zs1GxoacHFxgb6+PgSDQcRiMdhstrwh5R9TU1OYn5/P/uurQqFAIBCAUChEJBLB8PAwXC4XOjs7P1Srra0NR0dHEAgEiEQiGBoagtVqfbXHZHp6GuFwGPX19Tg4OEA0GkVzczNOT0+zG21vbm6wv7+P0dHRN3shovyKXl5eXn73SRDR++zu7kKn04GX7XeTk5PQ6/WQy+VfNmY6nUZxcXE2YGUyGchkMvT29sLhcHxorJWVFTw/P2NgYODLzo/o/4ZBhegPwqDy6yUSCej1ephMJpSVlcHtduP6+hrHx8ev7pIiol+PSz9Ef5B8yyf0daqrq7G8vIxkMomTkxN0d3fj/PycIYXoN+GMChERERUszqgQERFRwWJQISIiooLFoEJEREQFi0GFiIiIChaDChERERUsBhUiIiIqWAwqREREVLAYVIiIiKhgMagQERFRwfobgSJg4nUa0K0AAAAASUVORK5CYII=", | |
| "text/plain": [ | |
| "<Figure size 500x600 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "t1 = time.time()\n", | |
| "prof = ds[\"t\"].isel(time=ti, number=0, step=0).sel(\n", | |
| " latitude=0, longitude=80, method=\"nearest\").compute()\n", | |
| "print(f\"14-level temperature profile decoded in {time.time() - t1:.1f}s\")\n", | |
| "\n", | |
| "fig, ax = plt.subplots(figsize=(5, 6))\n", | |
| "ax.plot(prof.values - 273.15, prof[\"isobaricInhPa\"].values, marker=\"o\")\n", | |
| "ax.invert_yaxis()\n", | |
| "ax.set_yscale(\"log\")\n", | |
| "ax.set_yticks([10, 50, 100, 200, 300, 500, 700, 850, 1000])\n", | |
| "ax.set_yticklabels([10, 50, 100, 200, 300, 500, 700, 850, 1000])\n", | |
| "ax.set_xlabel(\"temperature (degC)\")\n", | |
| "ax.set_ylabel(\"pressure (hPa)\")\n", | |
| "ax.set_title(f\"ECMWF 50r1 profile @ 0N 80E -- {newest} 00z, control, f000\")\n", | |
| "ax.grid(alpha=0.3)\n", | |
| "plt.tight_layout()\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "f34fbe16", | |
| "metadata": {}, | |
| "source": [ | |
| "## Gotchas\n", | |
| "\n", | |
| "- **Arrays are under `{era}/00z`, never the root.** Opening the root group is empty;\n", | |
| " opening a bare `era` group is empty too -- you need `50r1/00z` etc.\n", | |
| "- **Pass `decode_timedelta=True`.** Otherwise xarray raises a `FutureWarning` about\n", | |
| " decoding `step` from its `units` attribute. See the note above.\n", | |
| "- **Variable names can differ by era.** In this store all three eras happen to expose\n", | |
| " 2 m temperature as `t2m`, but the raw ECMWF short name (`2t`, `10u`) shows up in\n", | |
| " other GIK builds. Probe with `next(v for v in (\"t2m\", \"2t\") if v in ds)` rather than\n", | |
| " hard-coding, if you write code meant to survive a rebuild.\n", | |
| "- **`gribberish.zarr` must be imported** before reading any chunk (registers the Zarr\n", | |
| " v3 codec) -- otherwise even opening a group fails with\n", | |
| " `UnknownCodecError: 'gribberish'` while reading array metadata.\n", | |
| "- **Reading a 49r1 pressure-level variable needs >6 GB RAM.** Resolving *any* chunk\n", | |
| " makes icechunk load that array's **entire manifest**. Cost is ~200 bytes per\n", | |
| " chunk-ref, and refs = `dates x members x steps x levels`:\n", | |
| "\n", | |
| " | array | chunk-refs | peak RSS |\n", | |
| " |---|---|---|\n", | |
| " | `50r1/t2m` | 221 K | 0.25 GB |\n", | |
| " | `50r1/t` (14 levels, 51 dates) | 3.10 M | 0.81 GB |\n", | |
| " | `49r1/t2m` (794 dates, 2D) | 3.44 M | 0.80 GB |\n", | |
| " | `49r1/t` (794 dates x 13 levels) | **44.7 M** | **~9.1 GB -> OOM** |\n", | |
| "\n", | |
| " That is why the 500 hPa cells above read from `50r1` and not `49r1`. This is *not*\n", | |
| " caused by turning preload off (preload only controls eager prefetch at open, and\n", | |
| " actually lowers memory). It is purely array size -- `50r1` will hit the same wall\n", | |
| " once it accumulates ~800 dates. The fix is `icechunk.ManifestSplittingConfig` (split\n", | |
| " along `time`) **at write time**, so a read loads one shard instead of the whole\n", | |
| " array manifest.\n", | |
| "- **`force_path_style=True`** is required for source.coop.\n", | |
| "- **`from_env=False`** so stray `AWS_*` env vars don't turn the anonymous read into a\n", | |
| " signed one.\n", | |
| "- **Disable eager manifest preload (source.coop sporadic 500s).** source.coop returns\n", | |
| " transient `HTTP 500` (\"service error\") on a small % of GETs under concurrency. This\n", | |
| " is source.coop, *not* AWS S3 (manifests live on source.coop; the GRIB byte-range\n", | |
| " reads to `ecmwf-forecasts` are never even reached at open time), and it is *not* a\n", | |
| " rate limit (128-way concurrent GET bursts succeed). icechunk's default open\n", | |
| " **prefetches thousands of manifests in parallel**, so at a few-% error rate at least\n", | |
| " one *critical* fetch tends to draw a 500 and the open raises `IcechunkError: object\n", | |
| " store error service error` -- with hundreds of \"Failure pre-loading manifest ...\n", | |
| " service error\" lines on stderr. The `ManifestPreloadConfig(max_total_refs=0,\n", | |
| " max_arrays_to_scan=0)` above turns preload off: manifests load lazily on demand\n", | |
| " (with retry), the stderr noise disappears, and open is robust (slower, but\n", | |
| " reliable). The store itself is complete -- a full object-count check shows all\n", | |
| " 46,154 manifests present, so the errors are transport-side, not missing data." | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.12.11" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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