From f934c7a7602f8e45c2a82fbd06863922766b2800 Mon Sep 17 00:00:00 2001 From: zmoon Date: Tue, 14 Nov 2023 20:43:37 -0700 Subject: [PATCH 01/23] Initial tracking options comparison for the sample satellite data --- docs/examples/tracking-options.ipynb | 152 +++++++++++++++++++++++++++ 1 file changed, 152 insertions(+) create mode 100644 docs/examples/tracking-options.ipynb diff --git a/docs/examples/tracking-options.ipynb b/docs/examples/tracking-options.ipynb new file mode 100644 index 0000000..d235bed --- /dev/null +++ b/docs/examples/tracking-options.ipynb @@ -0,0 +1,152 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e2cbacf7-710f-4208-a14a-a4c4a43463d0", + "metadata": {}, + "source": [ + "# Tracking options\n", + "\n", + "Exploring the impact of some of the tracking options for the sample datasets." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fc63f153-821a-4680-85d3-a9128c9be8b0", + "metadata": {}, + "outputs": [], + "source": [ + "import cartopy.crs as ccrs\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "import tams\n", + "\n", + "%matplotlib inline\n", + "\n", + "xr.set_options(display_expand_data=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "57f5dd85-1fa5-4e96-a8d8-9c0464560da6", + "metadata": {}, + "outputs": [], + "source": [ + "tb = tams.load_example_tb()\n", + "tb" + ] + }, + { + "cell_type": "markdown", + "id": "96a34a15-9431-46de-92a3-88f6fc478ca2", + "metadata": {}, + "source": [ + "## Identify cloud elements (CEs)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a08cb460-f0b5-45ab-83e6-bb5d14eadbd6", + "metadata": {}, + "outputs": [], + "source": [ + "%%time\n", + "\n", + "ces, _ = tams.identify(tb)" + ] + }, + { + "cell_type": "markdown", + "id": "433b07ec-3d7a-4807-b251-4676c2b55f08", + "metadata": {}, + "source": [ + "## Tracking options" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e38470d3-ae20-4377-b417-8ef2ee4bd635", + "metadata": {}, + "outputs": [], + "source": [ + "%%time\n", + "\n", + "cases = {}\n", + "time = tb.time.values.tolist()\n", + "\n", + "proj = -15\n", + "\n", + "cases[\"default\"] = tams.track(ces, time)\n", + "cases[\"link=f, norm=min\"] = tams.track(ces, time, look=\"f\", overlap_norm=\"min\")\n", + "cases[\"link=f, norm=max\"] = tams.track(ces, time, look=\"f\", overlap_norm=\"max\")\n", + "cases[f\"u_proj={proj}\"] = tams.track(ces, time, u_projection=proj)\n", + "cases[f\"u_proj={proj} look=f, norm=min\"] = tams.track(ces, time, u_projection=proj, look=\"f\", overlap_norm=\"min\")\n", + "cases[f\"u_proj={proj} look=f, norm=max\"] = tams.track(ces, time, u_projection=proj, look=\"f\", overlap_norm=\"max\")\n", + "\n", + "for key, ce in cases.items():\n", + " cases[key] = tams.classify(ce)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2edfbc17-7ef1-4c26-abc6-eb401cd00dbe", + "metadata": {}, + "outputs": [], + "source": [ + "m, n = 2, 3\n", + "assert len(cases) <= m * n\n", + "\n", + "# Restrict range\n", + "lon_min, lat_min, lon_max, lat_max = -10, 8, -3, 15\n", + "lon_min, lat_min, lon_max, lat_max = 17, 1, 27, 8\n", + "lon_min, lat_min, lon_max, lat_max = 20, 1, 27, 4\n", + "lon_min, lat_min, lon_max, lat_max = 30, 10, 38, 16\n", + "\n", + "proj = ccrs.PlateCarree()\n", + "\n", + "fig, axs = plt.subplots(m, n, figsize=(8, 5), sharex=True, sharey=True, subplot_kw=dict(projection=proj), constrained_layout=True)\n", + "\n", + "for i, ((key, ce), ax) in enumerate(zip(cases.items(), axs.flat)):\n", + " if i == 0:\n", + " assert key == \"default\"\n", + " tams.plot_tracked(ce)\n", + "\n", + " tams.plot_tracked(ce.cx[lon_min:lon_max, lat_min:lat_max], ax=ax)\n", + " ax.text(0.03, 0.98, key, ha=\"left\", va=\"top\", transform=ax.transAxes, size=8)\n", + " gl = ax.gridlines(draw_labels=True, color=\"none\")\n", + " if not i < n:\n", + " gl.top_labels = False\n", + " if not i % n == 0:\n", + " gl.left_labels = False" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.9.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 3e7a937c8b6d2b82703c0eb7edc21d68cf300e7f Mon Sep 17 00:00:00 2001 From: zmoon Date: Tue, 14 Nov 2023 22:12:39 -0700 Subject: [PATCH 02/23] Add options comparison for MPAS example data --- docs/examples/tracking-options.ipynb | 157 ++++++++++++++++++++++++++- 1 file changed, 156 insertions(+), 1 deletion(-) diff --git a/docs/examples/tracking-options.ipynb b/docs/examples/tracking-options.ipynb index d235bed..26ed4e5 100644 --- a/docs/examples/tracking-options.ipynb +++ b/docs/examples/tracking-options.ipynb @@ -20,10 +20,18 @@ "import cartopy.crs as ccrs\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", "import xarray as xr\n", "\n", "import tams\n", "\n", + "plt.rcParams.update(\n", + " {\n", + " \"axes.formatter.use_mathtext\": True,\n", + " }\n", + ")\n", + "\n", "%matplotlib inline\n", "\n", "xr.set_options(display_expand_data=False)" @@ -57,7 +65,8 @@ "source": [ "%%time\n", "\n", - "ces, _ = tams.identify(tb)" + "ces, _ = tams.identify(tb, parallel=False)\n", + "# TODO: parallel not working on WSL with Win dir, getting `TypeError: cannot pickle '_thread.lock' object`" ] }, { @@ -126,6 +135,152 @@ " if not i % n == 0:\n", " gl.left_labels = False" ] + }, + { + "cell_type": "markdown", + "id": "bda62b52-4cc6-42e4-a42e-31f9301945dd", + "metadata": {}, + "source": [ + "## In MPAS lat/lon dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d19b2b80-8e2b-4541-a9f1-10a3d117afa3", + "metadata": {}, + "outputs": [], + "source": [ + "ds = tams.load_example_mpas().isel(time=slice(1, None)).rename_vars(tb=\"ctt\", precip=\"pr\")\n", + "ds" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d5067ae-2519-4700-adf5-39f3520abdf1", + "metadata": {}, + "outputs": [], + "source": [ + "ctt = ds.ctt\n", + "\n", + "thresh = 235\n", + "thresh_core = 219\n", + "\n", + "cases_ces = {}\n", + "for delta in [-15, 0, 5]:\n", + " if delta == 0:\n", + " key = f\"default ({thresh}, {thresh_core})\"\n", + " else:\n", + " s_delta = str(delta) if delta <= 0 else f\"+{delta}\"\n", + " key = s_delta\n", + " cases_ces[key] = tams.identify(ctt, parallel=True,\n", + " ctt_threshold=thresh + delta, ctt_core_threshold=thresh_core + delta)[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ee74efdb-ac8e-409e-b3f3-c193ad252f65", + "metadata": {}, + "outputs": [], + "source": [ + "%%time\n", + "\n", + "cases = {}\n", + "time = ctt.time.values.tolist()\n", + "\n", + "projs = [-5, -10, -12]\n", + "for proj in projs:\n", + " for thresh_key, ces in cases_ces.items():\n", + " key = f\"{thresh_key}, proj={proj}\"\n", + " cases[key] = tams.track(ces, time, u_projection=proj)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d5d973e1-989f-4beb-a13d-1ae1230197e0", + "metadata": {}, + "outputs": [], + "source": [ + "cases.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da018ca9-36da-45cb-adcb-31538e8eabc9", + "metadata": {}, + "outputs": [], + "source": [ + "m = len(projs)\n", + "n = 3\n", + "assert m * n == len(cases)\n", + "\n", + "fig, axs = plt.subplots(m, n, figsize=(8, 7), sharex=True, sharey=True, constrained_layout=True)\n", + "\n", + "for (key, ce), ax in zip(cases.items(), axs.flat):\n", + " n = ce.mcs_id.nunique()\n", + " # Dist of max area\n", + " x = ce.groupby(\"mcs_id\").area_km2.max()\n", + " x.plot.kde(ax=ax)\n", + " ax.text(0.99, 0.98, f\"$N={n}$\", size=9, ha=\"right\", va=\"top\", transform=ax.transAxes)\n", + " ax.set_title(key, size=11)\n", + " ax.set_ylabel(\"\")\n", + "\n", + "fig.supylabel(\"Density\", x=-0.05)\n", + "fig.supxlabel(\"Area [km$^2$]\")\n", + "\n", + "# ax.set_xlim(xmin=0)\n", + "ax.set_xlim(xmin=1000); ax.set_xscale(\"log\")\n", + "ax.set_ylim(ymin=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff1289bc-13fc-4980-b95f-2593a42aa392", + "metadata": {}, + "outputs": [], + "source": [ + "# 2-D dist, duration and area\n", + "\n", + "m = len(projs)\n", + "n = 3\n", + "assert m * n == len(cases)\n", + "\n", + "fig, axs = plt.subplots(m, n, figsize=(8, 7), sharex=True, sharey=True, constrained_layout=True)\n", + "\n", + "for (key, ce), ax in zip(cases.items(), axs.flat):\n", + " n = ce.mcs_id.nunique()\n", + " gb = ce.groupby(\"mcs_id\")\n", + " area = gb.area_km2.max()\n", + " dur = ((gb.time.max() - gb.time.min()).dt.total_seconds() / 3600).rename(\"duration_h\")\n", + " data = pd.concat([area, dur], axis=\"columns\")\n", + " # sns.jointplot(x=\"area_km2\", y=\"duration_h\", kind=\"kde\", joint_kws=dict(fill=True), ax=ax, data=data)\n", + " sns.kdeplot(x=\"area_km2\", y=\"duration_h\", fill=True, ax=ax, data=data)\n", + " # TODO: ensure same levels?\n", + " # sns.rugplot(x=\"area_km2\", y=\"duration_h\", ax=ax, data=data)\n", + " ax.text(0.99, 0.98, f\"$N={n}$\", size=9, ha=\"right\", va=\"top\", transform=ax.transAxes)\n", + " ax.set_title(key, size=11)\n", + " ax.set_xlabel(\"\")\n", + " ax.set_ylabel(\"\")\n", + "\n", + "fig.supylabel(\"Duration [h]\", x=-0.03)\n", + "fig.supxlabel(\"Area [km$^2$]\")\n", + "\n", + "ax.set_xlim(xmin=0, xmax=0.5e7)\n", + "ax.set_ylim(ymin=0, ymax=30)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c094e2db-2e79-4c36-8a7c-7313b0a76c02", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From e91beb4eb2ae8e46f024122c46d8c04a705a0213 Mon Sep 17 00:00:00 2001 From: zmoon Date: Thu, 7 Dec 2023 20:09:06 -0700 Subject: [PATCH 03/23] Add option to not label CEs in plot-tracked --- tams/util.py | 22 ++++++++++++++-------- 1 file changed, 14 insertions(+), 8 deletions(-) diff --git a/tams/util.py b/tams/util.py index 24c64f5..513f55c 100644 --- a/tams/util.py +++ b/tams/util.py @@ -35,6 +35,7 @@ def plot_tracked( *, alpha: float = 0.25, background: str = "countries", + label: str = "id", ax: matplotlib.axes.Axes | None = None, size: float = 4, ): @@ -47,6 +48,10 @@ def plot_tracked( if background not in valid_backgrounds: raise ValueError(f"`background` must be one of {valid_backgrounds}") + valid_labels = {"id", "none"} + if label not in valid_labels: + raise ValueError(f"`label` must be one of {valid_labels}") + x0, y0, x1, y1 = cs.total_bounds aspect = (x1 - x0) / (y1 - y0) # ^ estimate for controlling figure size like in xarray @@ -101,14 +106,15 @@ def plot_tracked( g.plot(ax=ax, **blob_kwargs) # Label blobs with assigned ID - with warnings.catch_warnings(): - warnings.filterwarnings( - "ignore", - category=UserWarning, - message="Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect.", - ) - for id_, x, y in zip(g.mcs_id, g.centroid.x, g.centroid.y): - ax.text(x, y, id_, **text_kwargs) + if label == "id": + with warnings.catch_warnings(): + warnings.filterwarnings( + "ignore", + category=UserWarning, + message="Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect.", + ) + for id_, x, y in zip(g.mcs_id, g.centroid.x, g.centroid.y): + ax.text(x, y, id_, **text_kwargs) def _the_unique(s: pandas.Series): From 2cdb15e8a1445b7f0d485d934dac9f26d8314179 Mon Sep 17 00:00:00 2001 From: zmoon Date: Thu, 7 Dec 2023 20:10:03 -0700 Subject: [PATCH 04/23] Towards table and single fig for first cases --- docs/examples/tracking-options.ipynb | 68 ++++++++++++++++++++-------- 1 file changed, 48 insertions(+), 20 deletions(-) diff --git a/docs/examples/tracking-options.ipynb b/docs/examples/tracking-options.ipynb index 26ed4e5..2d93dd5 100644 --- a/docs/examples/tracking-options.ipynb +++ b/docs/examples/tracking-options.ipynb @@ -17,6 +17,8 @@ "metadata": {}, "outputs": [], "source": [ + "import warnings\n", + "\n", "import cartopy.crs as ccrs\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -91,12 +93,14 @@ "\n", "proj = -15\n", "\n", - "cases[\"default\"] = tams.track(ces, time)\n", - "cases[\"link=f, norm=min\"] = tams.track(ces, time, look=\"f\", overlap_norm=\"min\")\n", - "cases[\"link=f, norm=max\"] = tams.track(ces, time, look=\"f\", overlap_norm=\"max\")\n", - "cases[f\"u_proj={proj}\"] = tams.track(ces, time, u_projection=proj)\n", - "cases[f\"u_proj={proj} look=f, norm=min\"] = tams.track(ces, time, u_projection=proj, look=\"f\", overlap_norm=\"min\")\n", - "cases[f\"u_proj={proj} look=f, norm=max\"] = tams.track(ces, time, u_projection=proj, look=\"f\", overlap_norm=\"max\")\n", + "with warnings.catch_warnings():\n", + " warnings.filterwarnings(\"ignore\", message=\"forward `look` considered experimental\")\n", + " cases[\"default\"] = tams.track(ces, time)\n", + " cases[\"link=f, norm=min\"] = tams.track(ces, time, look=\"f\", overlap_norm=\"min\")\n", + " cases[\"link=f, norm=max\"] = tams.track(ces, time, look=\"f\", overlap_norm=\"max\")\n", + " cases[f\"u_proj={proj}\"] = tams.track(ces, time, u_projection=proj)\n", + " cases[f\"u_proj={proj}, link=f, norm=min\"] = tams.track(ces, time, u_projection=proj, look=\"f\", overlap_norm=\"min\")\n", + " cases[f\"u_proj={proj}, link=f, norm=max\"] = tams.track(ces, time, u_projection=proj, look=\"f\", overlap_norm=\"max\")\n", "\n", "for key, ce in cases.items():\n", " cases[key] = tams.classify(ce)" @@ -118,22 +122,46 @@ "lon_min, lat_min, lon_max, lat_max = 20, 1, 27, 4\n", "lon_min, lat_min, lon_max, lat_max = 30, 10, 38, 16\n", "\n", - "proj = ccrs.PlateCarree()\n", + "cases_full = []\n", + "for key in cases:\n", + " d = {\"u_proj\": 0, \"link\": \"b\", \"norm\": \"a\"}\n", + " updates = {}\n", + " if key != \"default\":\n", + " for kv in key.split():\n", + " k, v = kv.split(\"=\")\n", + " updates[k] = v\n", + " if \"norm\" not in updates and updates.get(\"link\", \"b\").startswith(\"f\"):\n", + " d[\"norm\"] = \"b\"\n", + " d.update(updates)\n", + " cases_full.append(d)\n", + "tbl = pd.DataFrame(cases_full)\n", + "tbl = tbl.assign(continued=False)\n", + "\n", + "tams.plot_tracked(ce, label=\"none\", size=3.5)\n", + "\n", + "# proj = ccrs.PlateCarree()\n", + "\n", + "# fig, axs = plt.subplots(m, n, figsize=(8, 5), sharex=True, sharey=True, subplot_kw=dict(projection=proj), constrained_layout=True)\n", "\n", - "fig, axs = plt.subplots(m, n, figsize=(8, 5), sharex=True, sharey=True, subplot_kw=dict(projection=proj), constrained_layout=True)\n", + "# for i, ((key, ce), ax) in enumerate(zip(cases.items(), axs.flat)):\n", + "# if i == 0:\n", + "# assert key == \"default\"\n", + "# tams.plot_tracked(ce)\n", "\n", - "for i, ((key, ce), ax) in enumerate(zip(cases.items(), axs.flat)):\n", - " if i == 0:\n", - " assert key == \"default\"\n", - " tams.plot_tracked(ce)\n", + "# n = ce.cx[lon_min:lon_max, lat_min:lat_max].mcs_id.nunique()\n", + "# assert n in {1, 2}\n", + "# if n == 1:\n", + "# tbl.loc[i, \"continued\"] = True\n", + " \n", + "# tams.plot_tracked(ce.cx[lon_min:lon_max, lat_min:lat_max], ax=ax)\n", + "# ax.text(0.03, 0.98, key, ha=\"left\", va=\"top\", transform=ax.transAxes, size=8)\n", + "# gl = ax.gridlines(draw_labels=True, color=\"none\")\n", + "# if not i < n:\n", + "# gl.top_labels = False\n", + "# if not i % n == 0:\n", + "# gl.left_labels = False\n", "\n", - " tams.plot_tracked(ce.cx[lon_min:lon_max, lat_min:lat_max], ax=ax)\n", - " ax.text(0.03, 0.98, key, ha=\"left\", va=\"top\", transform=ax.transAxes, size=8)\n", - " gl = ax.gridlines(draw_labels=True, color=\"none\")\n", - " if not i < n:\n", - " gl.top_labels = False\n", - " if not i % n == 0:\n", - " gl.left_labels = False" + "print(tbl.assign(continued=tbl.continued.map({True: \"y\", False: \"n\"})).style.to_latex())" ] }, { @@ -299,7 +327,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.10.13" } }, "nbformat": 4, From afb5d080ccf289d77390f3d14f0f0ff3d9f3829a Mon Sep 17 00:00:00 2001 From: zmoon Date: Thu, 7 Dec 2023 20:43:09 -0700 Subject: [PATCH 05/23] Save satellite tracking options fig and tbl --- docs/examples/tracking-options.ipynb | 23 ++++++++++++++++++----- tams/util.py | 21 +++++++++++++++++++++ 2 files changed, 39 insertions(+), 5 deletions(-) diff --git a/docs/examples/tracking-options.ipynb b/docs/examples/tracking-options.ipynb index 2d93dd5..7d3a7e2 100644 --- a/docs/examples/tracking-options.ipynb +++ b/docs/examples/tracking-options.ipynb @@ -20,6 +20,7 @@ "import warnings\n", "\n", "import cartopy.crs as ccrs\n", + "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", @@ -117,9 +118,9 @@ "assert len(cases) <= m * n\n", "\n", "# Restrict range\n", - "lon_min, lat_min, lon_max, lat_max = -10, 8, -3, 15\n", - "lon_min, lat_min, lon_max, lat_max = 17, 1, 27, 8\n", - "lon_min, lat_min, lon_max, lat_max = 20, 1, 27, 4\n", + "# lon_min, lat_min, lon_max, lat_max = -10, 8, -3, 15\n", + "# lon_min, lat_min, lon_max, lat_max = 17, 1, 27, 8\n", + "# lon_min, lat_min, lon_max, lat_max = 20, 1, 27, 4\n", "lon_min, lat_min, lon_max, lat_max = 30, 10, 38, 16\n", "\n", "cases_full = []\n", @@ -137,7 +138,16 @@ "tbl = pd.DataFrame(cases_full)\n", "tbl = tbl.assign(continued=False)\n", "\n", - "tams.plot_tracked(ce, label=\"none\", size=3.5)\n", + "tams.plot_tracked(ce, label=\"none\", size=3.5, add_colorbar=True, cbar_kwargs=dict(fraction=0.05, shrink=0.3))\n", + "\n", + "ax = plt.gca()\n", + "patch = mpl.patches.Polygon(\n", + " [(lon_min, lat_min), (lon_min, lat_max), (lon_max, lat_max), (lon_max, lat_min)],\n", + " ec=\"orangered\",\n", + " fill=False,\n", + " transform=ccrs.PlateCarree(),\n", + ")\n", + "ax.add_patch(patch)\n", "\n", "# proj = ccrs.PlateCarree()\n", "\n", @@ -161,7 +171,10 @@ "# if not i % n == 0:\n", "# gl.left_labels = False\n", "\n", - "print(tbl.assign(continued=tbl.continued.map({True: \"y\", False: \"n\"})).style.to_latex())" + "with open(\"sat-tracking-options-table.text\", \"w\") as f:\n", + " f.write(tbl.assign(continued=tbl.continued.map({True: \"y\", False: \"n\"})).style.to_latex())\n", + "\n", + "plt.savefig(\"sat-tracking-options-ces-box.pdf\", bbox_inches=\"tight\", pad_inches=0.05, transparent=False)" ] }, { diff --git a/tams/util.py b/tams/util.py index 513f55c..73eec12 100644 --- a/tams/util.py +++ b/tams/util.py @@ -36,6 +36,8 @@ def plot_tracked( alpha: float = 0.25, background: str = "countries", label: str = "id", + add_colorbar: bool = False, + cbar_kwargs: dict | None = None, ax: matplotlib.axes.Axes | None = None, size: float = 4, ): @@ -116,6 +118,25 @@ def plot_tracked( for id_, x, y in zip(g.mcs_id, g.centroid.x, g.centroid.y): ax.text(x, y, id_, **text_kwargs) + if add_colorbar: + import matplotlib as mpl + + cbar_kwargs_default = { + "orientation": "horizontal", + "label": f"hours since {cs.time.min():%Y-%m-%d %H:%M}", + "shrink": 0.7, + "aspect": 40, + } + if cbar_kwargs is None: + cbar_kwargs = {} + cbar_kwargs = {**cbar_kwargs_default, **cbar_kwargs} + + m = mpl.cm.ScalarMappable( + cmap=mpl.colors.ListedColormap(colors), + norm=mpl.colors.Normalize(vmin=0, vmax=nt), + ) + plt.colorbar(m, ax=ax, **cbar_kwargs) + def _the_unique(s: pandas.Series): """Return the one unique value or raise ValueError.""" From 89a528de589154e49e72e2ed889889708bcf034b Mon Sep 17 00:00:00 2001 From: zmoon Date: Thu, 7 Dec 2023 20:49:55 -0700 Subject: [PATCH 06/23] Fix splitting for table and file ext --- docs/examples/tracking-options.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/examples/tracking-options.ipynb b/docs/examples/tracking-options.ipynb index 7d3a7e2..816a8b5 100644 --- a/docs/examples/tracking-options.ipynb +++ b/docs/examples/tracking-options.ipynb @@ -128,7 +128,7 @@ " d = {\"u_proj\": 0, \"link\": \"b\", \"norm\": \"a\"}\n", " updates = {}\n", " if key != \"default\":\n", - " for kv in key.split():\n", + " for kv in key.split(\", \"):\n", " k, v = kv.split(\"=\")\n", " updates[k] = v\n", " if \"norm\" not in updates and updates.get(\"link\", \"b\").startswith(\"f\"):\n", @@ -171,7 +171,7 @@ "# if not i % n == 0:\n", "# gl.left_labels = False\n", "\n", - "with open(\"sat-tracking-options-table.text\", \"w\") as f:\n", + "with open(\"sat-tracking-options-table.txt\", \"w\") as f:\n", " f.write(tbl.assign(continued=tbl.continued.map({True: \"y\", False: \"n\"})).style.to_latex())\n", "\n", "plt.savefig(\"sat-tracking-options-ces-box.pdf\", bbox_inches=\"tight\", pad_inches=0.05, transparent=False)" From 0d1ca80a86149994c75620806c0e54086b2fb9d2 Mon Sep 17 00:00:00 2001 From: zmoon Date: Thu, 7 Dec 2023 20:56:31 -0700 Subject: [PATCH 07/23] Fix continued col --- docs/examples/tracking-options.ipynb | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/docs/examples/tracking-options.ipynb b/docs/examples/tracking-options.ipynb index 816a8b5..9c7063b 100644 --- a/docs/examples/tracking-options.ipynb +++ b/docs/examples/tracking-options.ipynb @@ -138,6 +138,12 @@ "tbl = pd.DataFrame(cases_full)\n", "tbl = tbl.assign(continued=False)\n", "\n", + "for i, (_, ce) in enumerate(cases.items()):\n", + " n = ce.cx[lon_min:lon_max, lat_min:lat_max].mcs_id.nunique()\n", + " assert n in {1, 2}\n", + " if n == 1:\n", + " tbl.loc[i, \"continued\"] = True\n", + "\n", "tams.plot_tracked(ce, label=\"none\", size=3.5, add_colorbar=True, cbar_kwargs=dict(fraction=0.05, shrink=0.3))\n", "\n", "ax = plt.gca()\n", @@ -157,11 +163,6 @@ "# if i == 0:\n", "# assert key == \"default\"\n", "# tams.plot_tracked(ce)\n", - "\n", - "# n = ce.cx[lon_min:lon_max, lat_min:lat_max].mcs_id.nunique()\n", - "# assert n in {1, 2}\n", - "# if n == 1:\n", - "# tbl.loc[i, \"continued\"] = True\n", " \n", "# tams.plot_tracked(ce.cx[lon_min:lon_max, lat_min:lat_max], ax=ax)\n", "# ax.text(0.03, 0.98, key, ha=\"left\", va=\"top\", transform=ax.transAxes, size=8)\n", From 56807db17fc7caa090ba281ff36c814ddb51df1b Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 8 Dec 2023 15:03:20 -0700 Subject: [PATCH 08/23] Save figs --- .gitignore | 3 +- docs/examples/tracking-options.ipynb | 52 +++++++++++++++++++--------- 2 files changed, 37 insertions(+), 18 deletions(-) diff --git a/.gitignore b/.gitignore index 7cf100d..2a3a2f0 100644 --- a/.gitignore +++ b/.gitignore @@ -5,7 +5,8 @@ docs/api/ mosa3.o* mosa2.o* mosa1.o* - +sat-tracking-options-* +mpas-tracking-options-* # GitHub Python default gitignore below: diff --git a/docs/examples/tracking-options.ipynb b/docs/examples/tracking-options.ipynb index 9c7063b..1163539 100644 --- a/docs/examples/tracking-options.ipynb +++ b/docs/examples/tracking-options.ipynb @@ -18,6 +18,7 @@ "outputs": [], "source": [ "import warnings\n", + "from string import ascii_lowercase\n", "\n", "import cartopy.crs as ccrs\n", "import matplotlib as mpl\n", @@ -204,6 +205,8 @@ "metadata": {}, "outputs": [], "source": [ + "%%time\n", + "\n", "ctt = ds.ctt\n", "\n", "thresh = 235\n", @@ -249,6 +252,14 @@ "cases.keys()" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "cd76ec90-be41-4318-b016-0a9663597fc4", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, @@ -262,21 +273,31 @@ "\n", "fig, axs = plt.subplots(m, n, figsize=(8, 7), sharex=True, sharey=True, constrained_layout=True)\n", "\n", - "for (key, ce), ax in zip(cases.items(), axs.flat):\n", + "for a, (key, ce), ax in zip(ascii_lowercase, cases.items(), axs.flat):\n", " n = ce.mcs_id.nunique()\n", " # Dist of max area\n", " x = ce.groupby(\"mcs_id\").area_km2.max()\n", - " x.plot.kde(ax=ax)\n", + " x.plot.kde(ax=ax, label=\"CE\")\n", + " \n", + " mcs = ce.groupby([\"mcs_id\", \"itime\"]).area_km2.sum()\n", + " x2 = mcs.groupby(\"mcs_id\").max()\n", + " x2.plot.kde(ax=ax, label=\"MCS\")\n", + " \n", " ax.text(0.99, 0.98, f\"$N={n}$\", size=9, ha=\"right\", va=\"top\", transform=ax.transAxes)\n", - " ax.set_title(key, size=11)\n", + " ax.set_title(key, size=10)\n", " ax.set_ylabel(\"\")\n", + " ax.text(0.02, 0.97, f\"{a}\", size=12, weight=\"bold\", ha=\"left\", va=\"top\", transform=ax.transAxes)\n", + " if a == \"c\":\n", + " ax.legend(loc=\"center right\")\n", "\n", - "fig.supylabel(\"Density\", x=-0.05)\n", + "fig.supylabel(\"Density\", x=-0.03)\n", "fig.supxlabel(\"Area [km$^2$]\")\n", "\n", "# ax.set_xlim(xmin=0)\n", "ax.set_xlim(xmin=1000); ax.set_xscale(\"log\")\n", - "ax.set_ylim(ymin=0)" + "ax.set_ylim(ymin=0)\n", + "\n", + "fig.savefig(\"mpas-tracking-options-area-kde.pdf\", bbox_inches=\"tight\", pad_inches=0.05, transparent=False)" ] }, { @@ -294,35 +315,32 @@ "\n", "fig, axs = plt.subplots(m, n, figsize=(8, 7), sharex=True, sharey=True, constrained_layout=True)\n", "\n", - "for (key, ce), ax in zip(cases.items(), axs.flat):\n", + "for a, (key, ce), ax in zip(ascii_lowercase, cases.items(), axs.flat):\n", " n = ce.mcs_id.nunique()\n", " gb = ce.groupby(\"mcs_id\")\n", " area = gb.area_km2.max()\n", " dur = ((gb.time.max() - gb.time.min()).dt.total_seconds() / 3600).rename(\"duration_h\")\n", " data = pd.concat([area, dur], axis=\"columns\")\n", " # sns.jointplot(x=\"area_km2\", y=\"duration_h\", kind=\"kde\", joint_kws=dict(fill=True), ax=ax, data=data)\n", - " sns.kdeplot(x=\"area_km2\", y=\"duration_h\", fill=True, ax=ax, data=data)\n", + " sns.kdeplot(x=\"area_km2\", y=\"duration_h\", fill=True, common_norm=True, clip=(0, None), hue_norm=(0, 0.5), ax=ax, data=data)\n", " # TODO: ensure same levels?\n", " # sns.rugplot(x=\"area_km2\", y=\"duration_h\", ax=ax, data=data)\n", " ax.text(0.99, 0.98, f\"$N={n}$\", size=9, ha=\"right\", va=\"top\", transform=ax.transAxes)\n", - " ax.set_title(key, size=11)\n", + " ax.set_title(key, size=10)\n", " ax.set_xlabel(\"\")\n", " ax.set_ylabel(\"\")\n", + " ax.text(0.02, 0.97, f\"{a}\", size=12, weight=\"bold\", ha=\"left\", va=\"top\", transform=ax.transAxes,\n", + " path_effects=[mpl.patheffects.withStroke(linewidth=1.5, foreground=\"w\")],\n", + " )\n", "\n", "fig.supylabel(\"Duration [h]\", x=-0.03)\n", "fig.supxlabel(\"Area [km$^2$]\")\n", "\n", "ax.set_xlim(xmin=0, xmax=0.5e7)\n", - "ax.set_ylim(ymin=0, ymax=30)" + "ax.set_ylim(ymin=0, ymax=30)\n", + "\n", + "fig.savefig(\"mpas-tracking-options-duration-area-2d-kde.pdf\", bbox_inches=\"tight\", pad_inches=0.05, transparent=False)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c094e2db-2e79-4c36-8a7c-7313b0a76c02", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From 6ac534b36022a478ca3f6c661409c72979da82ca Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 8 Dec 2023 15:59:54 -0700 Subject: [PATCH 09/23] gitignore like the other branch --- .gitignore | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index 2a3a2f0..7fb5b17 100644 --- a/.gitignore +++ b/.gitignore @@ -2,11 +2,11 @@ Satellite_data.nc MPAS_data.nc docs/api/ +docs/examples/*.pdf +docs/examples/*.txt mosa3.o* mosa2.o* mosa1.o* -sat-tracking-options-* -mpas-tracking-options-* # GitHub Python default gitignore below: From 8f2abbddba83ebf46fc04a571983a5401de14272 Mon Sep 17 00:00:00 2001 From: zmoon Date: Tue, 12 Dec 2023 18:56:29 -0700 Subject: [PATCH 10/23] Label better the MPAS options cases in figures and add more section headers to the nb --- docs/examples/tracking-options.ipynb | 95 ++++++++++++++++++++++------ 1 file changed, 77 insertions(+), 18 deletions(-) diff --git a/docs/examples/tracking-options.ipynb b/docs/examples/tracking-options.ipynb index 1163539..47a23f1 100644 --- a/docs/examples/tracking-options.ipynb +++ b/docs/examples/tracking-options.ipynb @@ -22,6 +22,7 @@ "\n", "import cartopy.crs as ccrs\n", "import matplotlib as mpl\n", + "import matplotlib.patheffects as path_effects\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", @@ -41,6 +42,14 @@ "xr.set_options(display_expand_data=False)" ] }, + { + "cell_type": "markdown", + "id": "4a004f2a-1c34-4285-925a-2b73e46a0769", + "metadata": {}, + "source": [ + "## In sample satellite data" + ] + }, { "cell_type": "code", "execution_count": null, @@ -57,7 +66,9 @@ "id": "96a34a15-9431-46de-92a3-88f6fc478ca2", "metadata": {}, "source": [ - "## Identify cloud elements (CEs)" + "### Identify cloud elements (CEs)\n", + "\n", + "Our tracking options cases here are all in the tracking stage, so we only have to run {func}`tams.identify` once." ] }, { @@ -78,7 +89,7 @@ "id": "433b07ec-3d7a-4807-b251-4676c2b55f08", "metadata": {}, "source": [ - "## Tracking options" + "### Run cases" ] }, { @@ -108,6 +119,14 @@ " cases[key] = tams.classify(ce)" ] }, + { + "cell_type": "markdown", + "id": "9f13f0b8-6aab-4b58-b059-8748f8acdb1a", + "metadata": {}, + "source": [ + "### Plot" + ] + }, { "cell_type": "code", "execution_count": null, @@ -184,7 +203,7 @@ "id": "bda62b52-4cc6-42e4-a42e-31f9301945dd", "metadata": {}, "source": [ - "## In MPAS lat/lon dataset" + "## In sample MPAS lat/lon dataset" ] }, { @@ -198,6 +217,14 @@ "ds" ] }, + { + "cell_type": "markdown", + "id": "95010eee-cf3d-4fbf-b8c6-7ca39dfe329f", + "metadata": {}, + "source": [ + "### Identify CEs using different CTT thresholds" + ] + }, { "cell_type": "code", "execution_count": null, @@ -215,14 +242,22 @@ "cases_ces = {}\n", "for delta in [-15, 0, 5]:\n", " if delta == 0:\n", - " key = f\"default ({thresh}, {thresh_core})\"\n", + " key = rf\"default ($T = {thresh}\\,\\mathrm{{K}}$, $T_\\mathrm{{core}} = {thresh_core}\\,\\mathrm{{K}}$)\"\n", " else:\n", " s_delta = str(delta) if delta <= 0 else f\"+{delta}\"\n", - " key = s_delta\n", + " key = rf\"$(T, T_\\mathrm{{core}}) {s_delta}$\"\n", " cases_ces[key] = tams.identify(ctt, parallel=True,\n", " ctt_threshold=thresh + delta, ctt_core_threshold=thresh_core + delta)[0]" ] }, + { + "cell_type": "markdown", + "id": "9a2ddbe4-5e74-4268-ab37-6b6a893f2196", + "metadata": {}, + "source": [ + "### Track for different $u$ projection values" + ] + }, { "cell_type": "code", "execution_count": null, @@ -238,7 +273,7 @@ "projs = [-5, -10, -12]\n", "for proj in projs:\n", " for thresh_key, ces in cases_ces.items():\n", - " key = f\"{thresh_key}, proj={proj}\"\n", + " key = rf\"{thresh_key}, $u_\\mathrm{{proj}} = {proj}\\,\\mathrm{{m}}\\,\\mathrm{{s}}^{{-1}}$\"\n", " cases[key] = tams.track(ces, time, u_projection=proj)" ] }, @@ -253,12 +288,12 @@ ] }, { - "cell_type": "code", - "execution_count": null, - "id": "cd76ec90-be41-4318-b016-0a9663597fc4", + "cell_type": "markdown", + "id": "f582a079-1024-4485-8cc6-2448896a9a8e", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "### Plot" + ] }, { "cell_type": "code", @@ -271,7 +306,7 @@ "n = 3\n", "assert m * n == len(cases)\n", "\n", - "fig, axs = plt.subplots(m, n, figsize=(8, 7), sharex=True, sharey=True, constrained_layout=True)\n", + "fig, axs = plt.subplots(m, n, figsize=(8.2, 7), sharex=True, sharey=True, constrained_layout=True)\n", "\n", "for a, (key, ce), ax in zip(ascii_lowercase, cases.items(), axs.flat):\n", " n = ce.mcs_id.nunique()\n", @@ -283,8 +318,19 @@ " x2 = mcs.groupby(\"mcs_id\").max()\n", " x2.plot.kde(ax=ax, label=\"MCS\")\n", " \n", - " ax.text(0.99, 0.98, f\"$N={n}$\", size=9, ha=\"right\", va=\"top\", transform=ax.transAxes)\n", - " ax.set_title(key, size=10)\n", + " # ax.text(0.99, 0.98, f\"$N={n}$\", size=9, ha=\"right\", va=\"top\", transform=ax.transAxes)\n", + " ax.text(0.99, 0.03, f\"$N={n}$\", size=9, ha=\"right\", va=\"bottom\", transform=ax.transAxes)\n", + " \n", + " # ax.set_title(key, size=9)\n", + " i = key.index(\", $u_\")\n", + " l1, l2 = key[:i], key[i+2:]\n", + " if ax.get_subplotspec().is_first_col():\n", + " xt, yt = 0.02, 0.22\n", + " else:\n", + " xt, yt = 0.1, 0.97\n", + " ax.text(xt, yt, l1, size=10, ha=\"left\", va=\"top\", transform=ax.transAxes)\n", + " ax.text(xt, yt - 0.09, l2, size=10, ha=\"left\", va=\"top\", transform=ax.transAxes)\n", + " \n", " ax.set_ylabel(\"\")\n", " ax.text(0.02, 0.97, f\"{a}\", size=12, weight=\"bold\", ha=\"left\", va=\"top\", transform=ax.transAxes)\n", " if a == \"c\":\n", @@ -313,7 +359,7 @@ "n = 3\n", "assert m * n == len(cases)\n", "\n", - "fig, axs = plt.subplots(m, n, figsize=(8, 7), sharex=True, sharey=True, constrained_layout=True)\n", + "fig, axs = plt.subplots(m, n, figsize=(8.2, 7), sharex=True, sharey=True, constrained_layout=True)\n", "\n", "for a, (key, ce), ax in zip(ascii_lowercase, cases.items(), axs.flat):\n", " n = ce.mcs_id.nunique()\n", @@ -321,16 +367,29 @@ " area = gb.area_km2.max()\n", " dur = ((gb.time.max() - gb.time.min()).dt.total_seconds() / 3600).rename(\"duration_h\")\n", " data = pd.concat([area, dur], axis=\"columns\")\n", + " \n", " # sns.jointplot(x=\"area_km2\", y=\"duration_h\", kind=\"kde\", joint_kws=dict(fill=True), ax=ax, data=data)\n", " sns.kdeplot(x=\"area_km2\", y=\"duration_h\", fill=True, common_norm=True, clip=(0, None), hue_norm=(0, 0.5), ax=ax, data=data)\n", " # TODO: ensure same levels?\n", " # sns.rugplot(x=\"area_km2\", y=\"duration_h\", ax=ax, data=data)\n", - " ax.text(0.99, 0.98, f\"$N={n}$\", size=9, ha=\"right\", va=\"top\", transform=ax.transAxes)\n", - " ax.set_title(key, size=10)\n", + " \n", + " #ax.text(0.99, 0.98, f\"$N={n}$\", size=9, ha=\"right\", va=\"top\", transform=ax.transAxes)\n", + " ax.text(0.99, 0.03, f\"$N={n}$\", size=9, ha=\"right\", va=\"bottom\",\n", + " path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")],\n", + " transform=ax.transAxes)\n", + " \n", + " # ax.set_title(key, size=10)\n", + " i = key.index(\", $u_\")\n", + " l1, l2 = key[:i], key[i+2:]\n", + " xt, yt = 0.09, 0.975\n", + " kws = dict(size=10, ha=\"left\", va=\"top\", transform=ax.transAxes, path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")])\n", + " ax.text(xt, yt, l1, **kws)\n", + " ax.text(xt, yt - 0.09, l2, **kws)\n", + " \n", " ax.set_xlabel(\"\")\n", " ax.set_ylabel(\"\")\n", " ax.text(0.02, 0.97, f\"{a}\", size=12, weight=\"bold\", ha=\"left\", va=\"top\", transform=ax.transAxes,\n", - " path_effects=[mpl.patheffects.withStroke(linewidth=1.5, foreground=\"w\")],\n", + " path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")],\n", " )\n", "\n", "fig.supylabel(\"Duration [h]\", x=-0.03)\n", From bf552207d88753f89bc0f916d257d1335aac109c Mon Sep 17 00:00:00 2001 From: zmoon Date: Tue, 12 Dec 2023 19:52:51 -0700 Subject: [PATCH 11/23] Fix hours since in colorbar wasn't actually hours since, was just time steps --- tams/util.py | 25 +++++++++++++++++-------- 1 file changed, 17 insertions(+), 8 deletions(-) diff --git a/tams/util.py b/tams/util.py index 73eec12..1e2ffc7 100644 --- a/tams/util.py +++ b/tams/util.py @@ -44,6 +44,7 @@ def plot_tracked( """Plot CEs at a range of times (colors) with CE group ID (MCS ID) identified.""" import matplotlib.pyplot as plt + import pandas as pd from matplotlib import patheffects valid_backgrounds = {"map", "countries", "none"} @@ -96,12 +97,20 @@ def plot_tracked( ax.set(xlabel="lon [°E]", ylabel="lat [°N]") - nt = cs.time.unique().size - colors = plt.cm.GnBu(np.linspace(0.2, 0.85, nt)) + t = pd.Series(sorted(cs.time.unique())) + tmin, tmax = t.iloc[0], t.iloc[-1] + dt = t.diff().min() + + def get_color(t_): + if tmin == tmax: + return plt.cm.tab10.colors[0] + else: + x = (t_ - tmin) / (tmax - tmin) * 0.65 + 0.2 + return plt.cm.GnBu(x) # Plot blobs at each time - for i, (_, g) in enumerate(cs.groupby("time")): - color = colors[i] + for t_, g in cs.groupby("time"): + color = get_color(t_) blob_kwargs.update(facecolor=color, edgecolor=color) text_kwargs.update(color=color) @@ -131,10 +140,10 @@ def plot_tracked( cbar_kwargs = {} cbar_kwargs = {**cbar_kwargs_default, **cbar_kwargs} - m = mpl.cm.ScalarMappable( - cmap=mpl.colors.ListedColormap(colors), - norm=mpl.colors.Normalize(vmin=0, vmax=nt), - ) + cmap = mpl.colors.ListedColormap([get_color(t_) for t_ in t]) + hours = ((t - tmin).dt.total_seconds() / 3600).values + hours = np.append(hours, hours[-1] + dt.total_seconds() / 3600) + m = mpl.cm.ScalarMappable(cmap=cmap, norm=mpl.colors.BoundaryNorm(hours, cmap.N)) plt.colorbar(m, ax=ax, **cbar_kwargs) From 07f0f6c2cb6d8c09ac750036c5441f86f82c1e6e Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 22 Dec 2023 10:27:06 -0700 Subject: [PATCH 12/23] Add dask-core to dev env Dask's SerializableLock is needed in some cases for joblib parallelization to work on xarrays In the future this may be included within xarray itself --- environment-dev.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/environment-dev.yml b/environment-dev.yml index e795fab..7a219d1 100644 --- a/environment-dev.yml +++ b/environment-dev.yml @@ -16,6 +16,7 @@ dependencies: # # Extras - cartopy>=0.21 + - dask-core - joblib - netcdf4 - ptitprince From 20ceda56c9dbc2d3e7f2ffe7575f45fe26272cd9 Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 22 Dec 2023 11:02:55 -0700 Subject: [PATCH 13/23] Add `tams.run` example nb to docs sprucing it up a bit first --- docs/examples/{t3.ipynb => tams-run.ipynb} | 115 ++++++++++++++++++--- docs/index.md | 1 + 2 files changed, 104 insertions(+), 12 deletions(-) rename docs/examples/{t3.ipynb => tams-run.ipynb} (55%) diff --git a/docs/examples/t3.ipynb b/docs/examples/tams-run.ipynb similarity index 55% rename from docs/examples/t3.ipynb rename to docs/examples/tams-run.ipynb index a3d6db1..6601171 100644 --- a/docs/examples/t3.ipynb +++ b/docs/examples/tams-run.ipynb @@ -3,20 +3,40 @@ { "cell_type": "markdown", "id": "6922ca63-d1a4-43f7-8fc2-68e6851984c4", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ - "# Testing the new `run` fn for MPAS sample" + "# {func}`tams.run`\n", + "\n", + "{func}`tams.run` is a convenience function that does\n", + "\n", + "1. {func}`tams.identify`\n", + "2. {func}`tams.track`\n", + "3. {func}`tams.classify`\n", + "4. aggregation and statistics\n", + "\n", + "Using a selection of the {func}`example post-processed MPAS data `,\n", + "we investigate its outputs." ] }, { "cell_type": "code", "execution_count": null, "id": "3206baa9-1b54-4376-ba90-e465fefaa967", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [], "source": [ - "import sys; sys.path.append(\"../\")\n", - "\n", "import xarray as xr\n", "\n", "import tams" @@ -26,28 +46,66 @@ "cell_type": "code", "execution_count": null, "id": "e528969a-592a-4d67-9296-3b3ff0b5d032", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "remove-output" + ] + }, "outputs": [], "source": [ "xr.set_options(display_expand_data=False)" ] }, + { + "cell_type": "markdown", + "id": "daee10a9-849a-483a-b2de-0e78e20b467f", + "metadata": {}, + "source": [ + "{func}`tams.run` expects certain variable names." + ] + }, { "cell_type": "code", "execution_count": null, "id": "9357c333-56fa-4e6e-9199-4e9b43725c4d", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [], "source": [ "ds = tams.load_example_mpas().rename({\"tb\": \"ctt\", \"precip\": \"pr\"}).isel(time=slice(1, 20))\n", "ds" ] }, + { + "cell_type": "markdown", + "id": "c392020f-4ec0-4ede-8d49-6858a5a8e92f", + "metadata": {}, + "source": [ + "{func}`tams.run` produces three output datasets." + ] + }, { "cell_type": "code", "execution_count": null, "id": "b893bba8-3603-446f-8609-cc39e9a504a3", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "hide-output" + ] + }, "outputs": [], "source": [ "%%time\n", @@ -61,7 +119,10 @@ "metadata": {}, "source": [ "## CE dataset\n", - "\n" + "\n", + "Identified cloud elements (CEs). Tracking has added `mcs_id`; classification has added `mcs_class`.\n", + "\n", + "Each row corresponds to a CE--time that belongs to an MCS. A certain MCS at a given time may include multiple CEs. " ] }, { @@ -84,12 +145,28 @@ "ce.info()" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "dcb6b436-c0ee-4f8a-b117-a90ddc41f588", + "metadata": {}, + "outputs": [], + "source": [ + "ce.area_km2.describe()" + ] + }, { "cell_type": "markdown", "id": "2bf1e67c-1774-457e-bd9b-ef87f06bfc5d", "metadata": {}, "source": [ - "## MCS dataset" + "## MCS dataset\n", + "\n", + "At each time, CEs with the same MCS ID are combined into one.\n", + "\n", + "Some statistics of precip (`pr`) and cloud-top temperature (`ctt`) within the MCS areas are included.\n", + "\n", + "Each row corresponds to an MCS--time." ] }, { @@ -117,7 +194,11 @@ "id": "12b3a841-a75f-4295-90cf-cbb693545cfd", "metadata": {}, "source": [ - "## MCS summary dataset" + "## MCS summary dataset\n", + "\n", + "No more shapes (just first and last centroid points).\n", + "\n", + "Each row corresponds to an MCS, including some statistics for the track such as the MCS's duration and initial and final coordinates." ] }, { @@ -139,6 +220,16 @@ "source": [ "mcs_summary.info()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dad5a677-1699-41d1-8e1b-93a36128577a", + "metadata": {}, + "outputs": [], + "source": [ + "mcs_summary.describe()" + ] } ], "metadata": { @@ -157,7 +248,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.10" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/index.md b/docs/index.md index 22d639f..205951f 100644 --- a/docs/index.md +++ b/docs/index.md @@ -14,6 +14,7 @@ The original TAMS is described in {cite:t}`TAMS1.0`. :hidden: examples/sample-satellite-data.ipynb +examples/tams-run.ipynb ``` ```{toctree} From f82a9b31bfe6d5d0b17de80c079a6d2e49ae78f3 Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 22 Dec 2023 14:12:41 -0700 Subject: [PATCH 14/23] 2-D dist plot with Tb and precip --- docs/examples/tracking-options.ipynb | 227 ++++++++++++++++++++++++--- 1 file changed, 208 insertions(+), 19 deletions(-) diff --git a/docs/examples/tracking-options.ipynb b/docs/examples/tracking-options.ipynb index 47a23f1..e08ef34 100644 --- a/docs/examples/tracking-options.ipynb +++ b/docs/examples/tracking-options.ipynb @@ -14,7 +14,15 @@ "cell_type": "code", "execution_count": null, "id": "fc63f153-821a-4680-85d3-a9128c9be8b0", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "remove-output" + ] + }, "outputs": [], "source": [ "import warnings\n", @@ -28,6 +36,8 @@ "import pandas as pd\n", "import seaborn as sns\n", "import xarray as xr\n", + "from IPython.display import display, Markdown\n", + "from joblib import delayed, Parallel\n", "\n", "import tams\n", "\n", @@ -54,7 +64,13 @@ "cell_type": "code", "execution_count": null, "id": "57f5dd85-1fa5-4e96-a8d8-9c0464560da6", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [], "source": [ "tb = tams.load_example_tb()\n", @@ -75,13 +91,20 @@ "cell_type": "code", "execution_count": null, "id": "a08cb460-f0b5-45ab-83e6-bb5d14eadbd6", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "hide-output" + ] + }, "outputs": [], "source": [ "%%time\n", "\n", - "ces, _ = tams.identify(tb, parallel=False)\n", - "# TODO: parallel not working on WSL with Win dir, getting `TypeError: cannot pickle '_thread.lock' object`" + "ces, _ = tams.identify(tb, parallel=True)" ] }, { @@ -201,7 +224,13 @@ { "cell_type": "markdown", "id": "bda62b52-4cc6-42e4-a42e-31f9301945dd", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "## In sample MPAS lat/lon dataset" ] @@ -210,7 +239,13 @@ "cell_type": "code", "execution_count": null, "id": "d19b2b80-8e2b-4541-a9f1-10a3d117afa3", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [], "source": [ "ds = tams.load_example_mpas().isel(time=slice(1, None)).rename_vars(tb=\"ctt\", precip=\"pr\")\n", @@ -220,7 +255,13 @@ { "cell_type": "markdown", "id": "95010eee-cf3d-4fbf-b8c6-7ca39dfe329f", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "### Identify CEs using different CTT thresholds" ] @@ -229,12 +270,21 @@ "cell_type": "code", "execution_count": null, "id": "8d5067ae-2519-4700-adf5-39f3520abdf1", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "hide-output" + ] + }, "outputs": [], "source": [ "%%time\n", "\n", "ctt = ds.ctt\n", + "precip = ds.pr\n", "\n", "thresh = 235\n", "thresh_core = 219\n", @@ -246,14 +296,43 @@ " else:\n", " s_delta = str(delta) if delta <= 0 else f\"+{delta}\"\n", " key = rf\"$(T, T_\\mathrm{{core}}) {s_delta}$\"\n", - " cases_ces[key] = tams.identify(ctt, parallel=True,\n", - " ctt_threshold=thresh + delta, ctt_core_threshold=thresh_core + delta)[0]" + " ces = tams.identify(ctt, parallel=True,\n", + " ctt_threshold=thresh + delta, ctt_core_threshold=thresh_core + delta)[0]\n", + "\n", + " assert len(ces) == ds.dims[\"time\"]\n", + " \n", + " # Add min Tb and avg precip -- parallel\n", + " # NOTE: parallel attempt giving can't pickle threadlock error\n", + " def fun(ds, ce):\n", + " ce = tams.data_in_contours(ds.ctt, ce, agg=(\"mean\", \"min\",), merge=True)\n", + " ce = tams.data_in_contours(ds.pr, ce, agg=(\"mean\",), merge=True)\n", + " return ce\n", + " \n", + " ces_ = Parallel(n_jobs=-2, verbose=10)(\n", + " delayed(fun)(ds.isel(time=i).copy(deep=False), ce.copy()) for i, ce in enumerate(ces)\n", + " )\n", + " cases_ces[key] = ces_\n", + "\n", + " # # Add min Tb and avg precip -- serial\n", + " # for i, ce in enumerate(ces):\n", + " # ce = tams.data_in_contours(ctt.isel(time=i), ce, agg=(\"min\",), merge=True)\n", + " # ce = tams.data_in_contours(precip.isel(time=i), ce, agg=(\"mean\",), merge=True)\n", + " # ces[i] = ce\n", + " # print(\".\", end=\"\")\n", + " # print()\n", + " # cases_ces[key] = ces" ] }, { "cell_type": "markdown", "id": "9a2ddbe4-5e74-4268-ab37-6b6a893f2196", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "### Track for different $u$ projection values" ] @@ -262,7 +341,13 @@ "cell_type": "code", "execution_count": null, "id": "ee74efdb-ac8e-409e-b3f3-c193ad252f65", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [], "source": [ "%%time\n", @@ -281,16 +366,32 @@ "cell_type": "code", "execution_count": null, "id": "d5d973e1-989f-4beb-a13d-1ae1230197e0", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [], "source": [ - "cases.keys()" + "lines = []\n", + "for i, k in enumerate(cases):\n", + " lines.append(f\"{i+1}. {k}    `{k}`\")\n", + "\n", + "display(Markdown(\"\\n\\n\".join(lines)))" ] }, { "cell_type": "markdown", "id": "f582a079-1024-4485-8cc6-2448896a9a8e", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "### Plot" ] @@ -299,9 +400,17 @@ "cell_type": "code", "execution_count": null, "id": "da018ca9-36da-45cb-adcb-31538e8eabc9", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [], "source": [ + "# Area dist\n", + "\n", "m = len(projs)\n", "n = 3\n", "assert m * n == len(cases)\n", @@ -350,10 +459,16 @@ "cell_type": "code", "execution_count": null, "id": "ff1289bc-13fc-4980-b95f-2593a42aa392", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [], "source": [ - "# 2-D dist, duration and area\n", + "# 2-D dist: duration and area\n", "\n", "m = len(projs)\n", "n = 3\n", @@ -400,6 +515,80 @@ "\n", "fig.savefig(\"mpas-tracking-options-duration-area-2d-kde.pdf\", bbox_inches=\"tight\", pad_inches=0.05, transparent=False)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bf833127-3c90-4104-a22c-c86a2a786dad", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "list(cases.values())[0].head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8402b7e1-6035-4a6c-be6d-1922f198d51f", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# 2-D dist: min Tb and avg precip\n", + "\n", + "m = len(projs)\n", + "n = 3\n", + "assert m * n == len(cases)\n", + "\n", + "fig, axs = plt.subplots(m, n, figsize=(8.3, 6.8), sharex=True, sharey=True, constrained_layout=True)\n", + "\n", + "for a, (key, ce), ax in zip(ascii_lowercase, cases.items(), axs.flat): \n", + " n = ce.mcs_id.nunique()\n", + " gb = ce.groupby(\"mcs_id\")\n", + " tb = gb.min_ctt.min().astype(float) # np.sqrt not supported for `Float64`\n", + " pr = gb.mean_pr.mean().astype(float) # TODO: area-weighted average of CE precip at each time?\n", + " data = pd.concat([tb, pr], axis=\"columns\")\n", + "\n", + " ax.plot(tb, pr, \".\", ms=5, mec=\"none\", mfc=\"0.35\", alpha=0.9)\n", + " \n", + " sns.kdeplot(x=\"min_ctt\", y=\"mean_pr\", fill=False, color=sns.color_palette()[0], alpha=0.6, common_norm=True, clip=(0, None), ax=ax, data=data)\n", + " \n", + " ax.text(0.99, 0.03, f\"$N={n}$\", size=9, ha=\"right\", va=\"bottom\",\n", + " path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")],\n", + " transform=ax.transAxes)\n", + " \n", + " i = key.index(\", $u_\")\n", + " l1, l2 = key[:i], key[i+2:]\n", + " xt, yt = 0.09, 0.975\n", + " kws = dict(size=10, ha=\"left\", va=\"top\", transform=ax.transAxes, path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")])\n", + " ax.text(xt, yt, l1, **kws)\n", + " ax.text(xt, yt - 0.09, l2, **kws)\n", + " \n", + " ax.set_xlabel(\"\")\n", + " ax.set_ylabel(\"\")\n", + " ax.text(0.02, 0.97, f\"{a}\", size=12, weight=\"bold\", ha=\"left\", va=\"top\", transform=ax.transAxes,\n", + " path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")],\n", + " )\n", + "\n", + "fig.supylabel(\"Average precipitation rate [mm h$^{-1}$]\", x=-0.03)\n", + "fig.supxlabel(\"Minimum CTT [K]\")\n", + "\n", + "ax.set_xlim(xmin=185, xmax=230)\n", + "ax.set_ylim(ymin=0, ymax=4.5)\n", + "\n", + "fig.savefig(\"mpas-tracking-options-tb-pr-2d-kde.pdf\", bbox_inches=\"tight\", pad_inches=0.05, transparent=False)" + ] } ], "metadata": { From ff723f2e50c965d342d5e690846a41a106e07a54 Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 22 Dec 2023 14:59:33 -0700 Subject: [PATCH 15/23] Include tracking options nb in docs in run state --- .pre-commit-config.yaml | 1 + docs/conf.py | 5 +- docs/examples/tracking-options.ipynb | 1551 +++++++++++++++++++++++++- docs/index.md | 1 + 4 files changed, 1495 insertions(+), 63 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 663d473..d97c419 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -43,3 +43,4 @@ repos: rev: "0.6.1" hooks: - id: nbstripout + exclude: ^docs/examples/tracking-options.ipynb diff --git a/docs/conf.py b/docs/conf.py index 937dcc4..0a9d8c4 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -26,7 +26,6 @@ "**.ipynb_checkpoints", # "api/**/*", "examples/t2.ipynb", - "examples/t3.ipynb", ] html_theme = "sphinx_book_theme" @@ -73,7 +72,9 @@ } nb_execution_mode = "cache" -nb_execution_excludepatterns = exclude_patterns +nb_execution_excludepatterns = exclude_patterns + [ + "examples/tracking-options.ipynb", +] myst_enable_extensions = [ "dollarmath", diff --git a/docs/examples/tracking-options.ipynb b/docs/examples/tracking-options.ipynb index e08ef34..39a7950 100644 --- a/docs/examples/tracking-options.ipynb +++ b/docs/examples/tracking-options.ipynb @@ -3,16 +3,22 @@ { "cell_type": "markdown", "id": "e2cbacf7-710f-4208-a14a-a4c4a43463d0", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "# Tracking options\n", "\n", - "Exploring the impact of some of the tracking options for the sample datasets." + "Exploring the impact of some of the tracking options for two of the sample datasets." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "fc63f153-821a-4680-85d3-a9128c9be8b0", "metadata": { "editable": true, @@ -23,7 +29,18 @@ "remove-output" ] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import warnings\n", "from string import ascii_lowercase\n", @@ -55,14 +72,20 @@ { "cell_type": "markdown", "id": "4a004f2a-1c34-4285-925a-2b73e46a0769", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ - "## In sample satellite data" + "## For sample satellite data" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "57f5dd85-1fa5-4e96-a8d8-9c0464560da6", "metadata": { "editable": true, @@ -71,7 +94,448 @@ }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.DataArray 'ch9' (time: 6, y: 714, x: 2829)>\n",
+       "295.9 295.9 295.8 295.8 295.8 295.9 295.9 295.8 ... nan nan nan nan nan nan nan\n",
+       "Coordinates:\n",
+       "    lon      (time, y, x) float32 ...\n",
+       "    lat      (time, y, x) float32 ...\n",
+       "  * time     (time) datetime64[ns] 2006-09-01 ... 2006-09-01T10:00:00\n",
+       "Dimensions without coordinates: y, x\n",
+       "Attributes:\n",
+       "    units:      K\n",
+       "    long_name:  Brightness temperature
" + ], + "text/plain": [ + "\n", + "295.9 295.9 295.8 295.8 295.8 295.9 295.9 295.8 ... nan nan nan nan nan nan nan\n", + "Coordinates:\n", + " lon (time, y, x) float32 ...\n", + " lat (time, y, x) float32 ...\n", + " * time (time) datetime64[ns] 2006-09-01 ... 2006-09-01T10:00:00\n", + "Dimensions without coordinates: y, x\n", + "Attributes:\n", + " units: K\n", + " long_name: Brightness temperature" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "tb = tams.load_example_tb()\n", "tb" @@ -89,7 +553,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "a08cb460-f0b5-45ab-83e6-bb5d14eadbd6", "metadata": { "editable": true, @@ -100,7 +564,33 @@ "hide-output" ] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=-2)]: Using backend LokyBackend with 11 concurrent workers.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 172 ms\n", + "Wall time: 5.26 s\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=-2)]: Done 2 out of 6 | elapsed: 5.0s remaining: 10.1s\n", + "[Parallel(n_jobs=-2)]: Done 3 out of 6 | elapsed: 5.0s remaining: 5.0s\n", + "[Parallel(n_jobs=-2)]: Done 4 out of 6 | elapsed: 5.0s remaining: 2.5s\n", + "[Parallel(n_jobs=-2)]: Done 6 out of 6 | elapsed: 5.1s finished\n" + ] + } + ], "source": [ "%%time\n", "\n", @@ -117,10 +607,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "e38470d3-ae20-4377-b417-8ef2ee4bd635", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 5.83 s\n", + "Wall time: 5.83 s\n" + ] + } + ], "source": [ "%%time\n", "\n", @@ -145,17 +644,42 @@ { "cell_type": "markdown", "id": "9f13f0b8-6aab-4b58-b059-8748f8acdb1a", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ - "### Plot" + "### Plot CEs\n", + "\n", + "And check if the method produced a single track within the box, saving a table of these results." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "2edfbc17-7ef1-4c26-abc6-eb401cd00dbe", - "metadata": {}, - "outputs": [], + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "m, n = 2, 3\n", "assert len(cases) <= m * n\n", @@ -232,12 +756,12 @@ "tags": [] }, "source": [ - "## In sample MPAS lat/lon dataset" + "## For sample MPAS lat/lon dataset" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "d19b2b80-8e2b-4541-a9f1-10a3d117afa3", "metadata": { "editable": true, @@ -246,7 +770,543 @@ }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.Dataset>\n",
+       "Dimensions:  (time: 126, lon: 341, lat: 180)\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 2006-09-08T13:00:00 ... 2006-09-13T18:00:00\n",
+       "  * lon      (lon) float64 85.0 85.25 85.5 85.75 ... 169.2 169.5 169.8 170.0\n",
+       "  * lat      (lat) float64 -4.875 -4.625 -4.375 -4.125 ... 39.38 39.62 39.88\n",
+       "Data variables:\n",
+       "    ctt      (time, lat, lon) float32 266.8 266.9 267.0 ... 266.0 265.9 265.7\n",
+       "    pr       (time, lat, lon) float32 ...
" + ], + "text/plain": [ + "\n", + "Dimensions: (time: 126, lon: 341, lat: 180)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 2006-09-08T13:00:00 ... 2006-09-13T18:00:00\n", + " * lon (lon) float64 85.0 85.25 85.5 85.75 ... 169.2 169.5 169.8 170.0\n", + " * lat (lat) float64 -4.875 -4.625 -4.375 -4.125 ... 39.38 39.62 39.88\n", + "Data variables:\n", + " ctt (time, lat, lon) float32 266.8 266.9 267.0 ... 266.0 265.9 265.7\n", + " pr (time, lat, lon) float32 ..." + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "ds = tams.load_example_mpas().isel(time=slice(1, None)).rename_vars(tb=\"ctt\", precip=\"pr\")\n", "ds" @@ -268,7 +1328,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "8d5067ae-2519-4700-adf5-39f3520abdf1", "metadata": { "editable": true, @@ -279,7 +1339,100 @@ "hide-output" ] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=-2)]: Using backend LokyBackend with 11 concurrent workers.\n", + "[Parallel(n_jobs=-2)]: Done 3 tasks | elapsed: 0.8s\n", + "[Parallel(n_jobs=-2)]: Done 10 tasks | elapsed: 1.8s\n", + "[Parallel(n_jobs=-2)]: Done 19 tasks | elapsed: 3.6s\n", + "[Parallel(n_jobs=-2)]: Done 28 tasks | elapsed: 4.5s\n", + "[Parallel(n_jobs=-2)]: Done 39 tasks | elapsed: 5.2s\n", + "[Parallel(n_jobs=-2)]: Done 50 tasks | elapsed: 6.2s\n", + "[Parallel(n_jobs=-2)]: Done 63 tasks | elapsed: 7.2s\n", + "[Parallel(n_jobs=-2)]: Done 76 tasks | elapsed: 8.5s\n", + "[Parallel(n_jobs=-2)]: Done 91 tasks | elapsed: 9.6s\n", + "[Parallel(n_jobs=-2)]: Done 118 out of 126 | elapsed: 11.6s remaining: 0.7s\n", + "[Parallel(n_jobs=-2)]: Done 126 out of 126 | elapsed: 12.2s finished\n", + "[Parallel(n_jobs=-2)]: Using backend LokyBackend with 11 concurrent workers.\n", + "[Parallel(n_jobs=-2)]: Done 3 tasks | elapsed: 1.3s\n", + "[Parallel(n_jobs=-2)]: Done 10 tasks | elapsed: 1.4s\n", + "[Parallel(n_jobs=-2)]: Done 19 tasks | elapsed: 2.6s\n", + "[Parallel(n_jobs=-2)]: Done 28 tasks | elapsed: 3.7s\n", + "[Parallel(n_jobs=-2)]: Done 39 tasks | elapsed: 4.9s\n", + "[Parallel(n_jobs=-2)]: Done 50 tasks | elapsed: 6.0s\n", + "[Parallel(n_jobs=-2)]: Done 63 tasks | elapsed: 7.3s\n", + "[Parallel(n_jobs=-2)]: Done 76 tasks | elapsed: 8.6s\n", + "[Parallel(n_jobs=-2)]: Done 91 tasks | elapsed: 10.6s\n", + "[Parallel(n_jobs=-2)]: Done 118 out of 126 | elapsed: 13.5s remaining: 0.8s\n", + "[Parallel(n_jobs=-2)]: Done 126 out of 126 | elapsed: 14.2s finished\n", + "[Parallel(n_jobs=-2)]: Using backend LokyBackend with 11 concurrent workers.\n", + "[Parallel(n_jobs=-2)]: Done 3 tasks | elapsed: 1.1s\n", + "[Parallel(n_jobs=-2)]: Done 10 tasks | elapsed: 1.3s\n", + "[Parallel(n_jobs=-2)]: Done 19 tasks | elapsed: 2.8s\n", + "[Parallel(n_jobs=-2)]: Done 28 tasks | elapsed: 4.3s\n", + "[Parallel(n_jobs=-2)]: Done 39 tasks | elapsed: 5.9s\n", + "[Parallel(n_jobs=-2)]: Done 50 tasks | elapsed: 7.6s\n", + "[Parallel(n_jobs=-2)]: Done 63 tasks | elapsed: 9.5s\n", + "[Parallel(n_jobs=-2)]: Done 76 tasks | elapsed: 11.5s\n", + "[Parallel(n_jobs=-2)]: Done 91 tasks | elapsed: 13.8s\n", + "[Parallel(n_jobs=-2)]: Done 118 out of 126 | elapsed: 17.7s remaining: 1.1s\n", + "[Parallel(n_jobs=-2)]: Done 126 out of 126 | elapsed: 18.4s finished\n", + "[Parallel(n_jobs=-2)]: Using backend LokyBackend with 11 concurrent workers.\n", + "[Parallel(n_jobs=-2)]: Done 3 tasks | elapsed: 1.6s\n", + "[Parallel(n_jobs=-2)]: Done 10 tasks | elapsed: 1.9s\n", + "[Parallel(n_jobs=-2)]: Done 19 tasks | elapsed: 3.6s\n", + "[Parallel(n_jobs=-2)]: Done 28 tasks | elapsed: 4.9s\n", + "[Parallel(n_jobs=-2)]: Done 39 tasks | elapsed: 6.3s\n", + "[Parallel(n_jobs=-2)]: Done 50 tasks | elapsed: 8.1s\n", + "[Parallel(n_jobs=-2)]: Done 63 tasks | elapsed: 9.8s\n", + "[Parallel(n_jobs=-2)]: Done 76 tasks | elapsed: 11.7s\n", + "[Parallel(n_jobs=-2)]: Done 91 tasks | elapsed: 14.6s\n", + "[Parallel(n_jobs=-2)]: Done 118 out of 126 | elapsed: 18.2s remaining: 1.1s\n", + "[Parallel(n_jobs=-2)]: Done 126 out of 126 | elapsed: 19.2s finished\n", + "[Parallel(n_jobs=-2)]: Using backend LokyBackend with 11 concurrent workers.\n", + "[Parallel(n_jobs=-2)]: Done 3 tasks | elapsed: 1.2s\n", + "[Parallel(n_jobs=-2)]: Done 10 tasks | elapsed: 1.3s\n", + "[Parallel(n_jobs=-2)]: Done 19 tasks | elapsed: 2.9s\n", + "[Parallel(n_jobs=-2)]: Done 28 tasks | elapsed: 4.7s\n", + "[Parallel(n_jobs=-2)]: Done 39 tasks | elapsed: 6.4s\n", + "[Parallel(n_jobs=-2)]: Done 50 tasks | elapsed: 8.3s\n", + "[Parallel(n_jobs=-2)]: Done 63 tasks | elapsed: 10.3s\n", + "[Parallel(n_jobs=-2)]: Done 76 tasks | elapsed: 12.3s\n", + "[Parallel(n_jobs=-2)]: Done 91 tasks | elapsed: 14.5s\n", + "[Parallel(n_jobs=-2)]: Done 118 out of 126 | elapsed: 18.9s remaining: 1.2s\n", + "[Parallel(n_jobs=-2)]: Done 126 out of 126 | elapsed: 19.8s finished\n", + "[Parallel(n_jobs=-2)]: Using backend LokyBackend with 11 concurrent workers.\n", + "[Parallel(n_jobs=-2)]: Done 3 tasks | elapsed: 1.9s\n", + "[Parallel(n_jobs=-2)]: Done 10 tasks | elapsed: 2.1s\n", + "[Parallel(n_jobs=-2)]: Done 19 tasks | elapsed: 3.8s\n", + "[Parallel(n_jobs=-2)]: Done 28 tasks | elapsed: 5.3s\n", + "[Parallel(n_jobs=-2)]: Done 39 tasks | elapsed: 7.1s\n", + "[Parallel(n_jobs=-2)]: Done 50 tasks | elapsed: 8.9s\n", + "[Parallel(n_jobs=-2)]: Done 63 tasks | elapsed: 10.5s\n", + "[Parallel(n_jobs=-2)]: Done 76 tasks | elapsed: 12.7s\n", + "[Parallel(n_jobs=-2)]: Done 91 tasks | elapsed: 15.2s\n", + "[Parallel(n_jobs=-2)]: Done 118 out of 126 | elapsed: 19.3s remaining: 1.2s\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 7.64 s\n", + "Wall time: 1min 44s\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=-2)]: Done 126 out of 126 | elapsed: 20.2s finished\n" + ] + } + ], "source": [ "%%time\n", "\n", @@ -296,8 +1449,11 @@ " else:\n", " s_delta = str(delta) if delta <= 0 else f\"+{delta}\"\n", " key = rf\"$(T, T_\\mathrm{{core}}) {s_delta}$\"\n", - " ces = tams.identify(ctt, parallel=True,\n", - " ctt_threshold=thresh + delta, ctt_core_threshold=thresh_core + delta)[0]\n", + " ces = tams.identify(ctt,\n", + " parallel=True,\n", + " ctt_threshold=thresh + delta,\n", + " ctt_core_threshold=thresh_core + delta,\n", + " )[0]\n", "\n", " assert len(ces) == ds.dims[\"time\"]\n", " \n", @@ -309,7 +1465,8 @@ " return ce\n", " \n", " ces_ = Parallel(n_jobs=-2, verbose=10)(\n", - " delayed(fun)(ds.isel(time=i).copy(deep=False), ce.copy()) for i, ce in enumerate(ces)\n", + " delayed(fun)(ds.isel(time=i).copy(deep=False), ce.copy())\n", + " for i, ce in enumerate(ces)\n", " )\n", " cases_ces[key] = ces_\n", "\n", @@ -339,7 +1496,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "ee74efdb-ac8e-409e-b3f3-c193ad252f65", "metadata": { "editable": true, @@ -348,7 +1505,16 @@ }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 1min 40s\n", + "Wall time: 1min 40s\n" + ] + } + ], "source": [ "%%time\n", "\n", @@ -362,9 +1528,23 @@ " cases[key] = tams.track(ces, time, u_projection=proj)" ] }, + { + "cell_type": "markdown", + "id": "f806fcda-93a8-488b-be00-99160b200dcd", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "### Check the case labels" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "d5d973e1-989f-4beb-a13d-1ae1230197e0", "metadata": { "editable": true, @@ -373,11 +1553,59 @@ }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "1. `$(T, T_\\mathrm{core}) -15$, $u_\\mathrm{proj} = -5\\,\\mathrm{m}\\,\\mathrm{s}^{-1}$`\n", + "\n", + "2. `default ($T = 235\\,\\mathrm{K}$, $T_\\mathrm{core} = 219\\,\\mathrm{K}$), $u_\\mathrm{proj} = -5\\,\\mathrm{m}\\,\\mathrm{s}^{-1}$`\n", + "\n", + "3. `$(T, T_\\mathrm{core}) +5$, $u_\\mathrm{proj} = -5\\,\\mathrm{m}\\,\\mathrm{s}^{-1}$`\n", + "\n", + "4. `$(T, T_\\mathrm{core}) -15$, $u_\\mathrm{proj} = -10\\,\\mathrm{m}\\,\\mathrm{s}^{-1}$`\n", + "\n", + "5. `default ($T = 235\\,\\mathrm{K}$, $T_\\mathrm{core} = 219\\,\\mathrm{K}$), $u_\\mathrm{proj} = -10\\,\\mathrm{m}\\,\\mathrm{s}^{-1}$`\n", + "\n", + "6. `$(T, T_\\mathrm{core}) +5$, $u_\\mathrm{proj} = -10\\,\\mathrm{m}\\,\\mathrm{s}^{-1}$`\n", + "\n", + "7. `$(T, T_\\mathrm{core}) -15$, $u_\\mathrm{proj} = -12\\,\\mathrm{m}\\,\\mathrm{s}^{-1}$`\n", + "\n", + "8. `default ($T = 235\\,\\mathrm{K}$, $T_\\mathrm{core} = 219\\,\\mathrm{K}$), $u_\\mathrm{proj} = -12\\,\\mathrm{m}\\,\\mathrm{s}^{-1}$`\n", + "\n", + "9. `$(T, T_\\mathrm{core}) +5$, $u_\\mathrm{proj} = -12\\,\\mathrm{m}\\,\\mathrm{s}^{-1}$`" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ + "fig, ax = plt.subplots(figsize=(4, 3))\n", + "\n", + "ax.axis(\"off\")\n", + "\n", "lines = []\n", "for i, k in enumerate(cases):\n", - " lines.append(f\"{i+1}. {k}    `{k}`\")\n", + " lines.append(f\"{i+1}. `{k}`\")\n", + " y = len(cases) - i - 0.5\n", + " ax.text(0, y, i + 1, va=\"center\", ha=\"left\", color=\"orangered\")\n", + " ax.text(0.07, y, k, va=\"center\", ha=\"left\")\n", + "\n", + "ax.set_ylim(ymax=len(cases))\n", "\n", "display(Markdown(\"\\n\\n\".join(lines)))" ] @@ -393,12 +1621,12 @@ "tags": [] }, "source": [ - "### Plot" + "### Plot area dist" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "da018ca9-36da-45cb-adcb-31538e8eabc9", "metadata": { "editable": true, @@ -407,10 +1635,19 @@ }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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1kZGRdOjQodT13d3dy90yUpqnn36aQ4cOFdtCcn0U3KtXr7JmzRrGjh3Ltm3baNu2LUOGDDEtFxISQteuXWnevDnLli0rtiUiNDSUxMREpk2bZho4orLKc34qwmAwoNeXrw6tifNemq+++orHHnsMf39/9Ho9HTp04MEHHyQyMrLY5ct73u3t7YGCQW60cuOPFLGxsWRkZODo6FilbVb1OitNdX4Oy/sZLO19mjNnDnPmzDG9zsrKYs+ePTz99NOmsvXr19OzZ89C61X0WhaiOllEl0JzuvGGcr1ej5OTE6mpqXLx1aBD569y58c7mfP9bvonfctPtq/zt90jRNs9xjG7//CBYS4Rf3zPqM92czlNWhtF7fTf//6Xo0ePcvXqVV566SXy8/OBgl9Vy2rdgoKWgNJcT5J+/fVXoqKiTNOxY8dYvXp1qesOHTqUpKQkFi5cyN69e9m7dy9QkKwB6HS6IvvPy8srM+by8PT0JCUlpdh5kZGRZXZTqo6ubRMnTuSnn37ijz/+MLUY3qgio+A6OjoSEhLCyZMni53v7+/Ptm3biI+P57bbbuPatWulxlaa0s7PwoULCQkJISwsjClTpgDw9ttvExwcTEhIiGnAgdjYWMLCwhg3bhzt27cnJyeHJUuW0LlzZ0JDQ5k2bVqx26+J816a5s2bs23bNtLT04mLi2Pfvn3k5eXRtGnTYpcv73lPTk4GoGHDhhWKpzo1b96c0NBQoGA0xgcffJATJ06QlZXFoUOHKjUkelWvs9KUtL45P4OlvU/jx48vVAd27NiRN954o0hZWcq6loWoTvW+hatNmzYEBwdz5MgRLl68aKrMW7VqpXFk9cOq/XFM/+EvHmQ9z9utwYmsQvMdyGaA/iAD9AdZc7kHD3/xDN8+2Rc3RxuNIhaieJmZmUVai6ytrXn33XfLtX6LFi2wtrZmz549BAQEAJCSksKJEyfo3bs3bdu2xdbWlnPnztG7d+9yx5WUlER0dDSff/656Rffm1sbGjZsSHx8vOl1WloaMTExpW7XxsYGg8FQ5v7bt2/P//73v2LjiouLK/OX86p0bVNVlYkTJ7J27Vq2bt1a4pf14tYr6d6RnJwcoqOji/x6fqOAgAC2bdtG3759GTRoEBs3bqxwj4nSzs+hQ4f4+OOP2blzJ66uriQnJxMREcGqVauIiIggMzOTTp060bdvXwCOHj3KV199xcKFCzl27Bjr1q1j9+7dKIrCsGHD2L17d6GWVdDmvBfH0dERR0dHUlJS2LhxY6nD65fnvB85coRGjRqVq9XZnL788ksGDBjA1atX+emnn/jpp59M88LCwir8o29Vr7OSlLS+uT+Dpb1PN7e+2tvb4+XlRYsWLSp0bOW5loWoLvU+4dLr9fz88888//zzbNu2DYPBwMCBA/noo48q/IucKL88g5HZv0azedd+/mczj3DdP78webWDzuOgeV9w8ISUGIhcjrp/ESP1O2mUlsgLX7/Dosd7odMp2h6EEDf44osv+O233/j2229JSUkhLCyMt956ix49epRrfScnJ/7zn//w0ksv4eHhgbe3N1OnTkWnK+iI4OzszIsvvsjzzz+P0WikR48epKWlsWvXLpycnBg7dmyx23Vzc8PDw4MvvvgCX19fzp07Z/o1+rp+/fqxdOlShg4dipubG6+//nqZ3X6aNGnC3r17iY2NxcnJCXd3d1OsNxo8eDCvvPIKKSkpuLm5mcqvDwZizi6FEyZM4JtvvuHHH3/E2dnZdO+Mq6urqcvSq6++ypAhQ2jcuDHXrl1jxYoVbN26lQ0bNgDw4osvMnToUAICArh8+TKzZs0iLS2txPN9XaNGjdi6dWuhL//laem8rrTzs3XrVu677z7T9tzd3Vm+fDkjR47Ezs4OOzs7+vfvz/79+wkLC6NVq1amFpUtW7awe/duU4tFeno6p0+fLpJwmfO8p6enc+rUKdPyMTExREVF4e7ubvqxYePGjaiqSuvWrTl16hQvvfQSrVu35tFHHy1132Wd9x07djBo0KBKHVd1Cg8P59ChQ7z77rts3LiRs2fPotfrCQgIYNiwYRXeXlWvs5KUtL65P4PmeJ8qey0LUR3qfcIFBV8c1q5dW6S8rC4+onJy841M/DaSy8d28rPtu7gr6ai2LiiDZ8MtD8GNX9p8QuD2d1HaDsPwzQPcmnuc5Lg3WbFvMQ920eaGZyGuW7p0aaHnv9x+++2V6g503bvvvkt6ejp33XUXzs7OvPDCC4VGOHzzzTfx8vJi7ty5nDlzhgYNGtChQwdeffXVErep0+lYsWIFzzzzDMHBwbRu3ZqPP/6YPn36mJZ55ZVXOHPmDHfeeSeurq68+eabZbZwvfjii4wdO5a2bduSlZVFTEwMTZo0KbJcSEgIHTt2ZNWqVfzf//2fqfzgwYN4eXmVa+CFylqwYAFAoWMFWLJkCY888gjw7yi48fHxuLq6EhoaWmgU3PPnz/PAAw+QmJhIw4YN6dKlC3v27CnXjfzXu7n17duXgQMHsmnTJho0aMDSpUt59NFHS/0/pqrnR1VVFKXgRykHB4dC5U888USJXQmrQ1nnPSIiwtTyAZhac8aOHWu6nlJTU3nllVc4f/487u7ujBw5ktmzZ2NtbV3m/ks679nZ2axdu5aNGzdWz4FWUePGjfn444+rZVuVuc7M/Tms7GfQXO9TVa5lIaqs+kelr33M8YwNUTnZefnqf5buVx97ZaaaOc1TVae7qOpnvVQ1ObbslWN3qfkzPFR1uos6Z9qzavzVLPMHLCyGFs/SEeXz66+/qkFBQarBYNA6lFph+vTpau/evSu9/uHDh9Xg4GD16tWrqqqqalJSkrp//341PDxczc7OVpOTk9XmzZurFy9eVGNiYtTw8PBC67Zt21ZNTk5WVVVV4+Li1MTExCodj6WYN2+eOnDgwCLldaXuqOh1VpXPoTk/gyW9T0LUNhW5zqWFS9SYnHwDT/4vEo+Tq3jLeiF6RYWWg2DUUrApxwhNgV1RBs+CDZOZyLe8/+tQpj3Y3+xxCyGq5vbbb+fkyZNcuHChxOd11ScbN24scVCO8ggODubZZ5+le/fuWFlZMWTIEObOncuoUaMIDw9HURRmzpyJr68vsbGxRdadPHkyffr0wWg0mp4DVR+Gxba2tuaTTz7ROgyzqeh1VpXPoTk/g3X9fRL1k6Kqdb/fXFpaGq6urqSmpspQ7xoxGlUmrjiI/shqPrb5tKCw/UNw54egL7uLyA0bImNBXxyvRLHa0JvOz60gwMOh7PVEnWeO61zqDiHqPqk7hBCVUZHrvN4PCy/MT1VVZv58lIwj63jP+rOCws5PwF3zKpZsAeh0OA57D4B79Nv4Yd2v1RytEEIIIYQQ1UcSLmF287ee5uiejSyw/ghrxQAh98Jtb4NSyVEGG3UkqdlwAFqeXMjla/JsLiGEEEIIUTtJwiXMauX+c/yyaRNf2vwXeyUXWg6G4fMLj0RYCR6DJwMwSNnHxh27qyNUIYQo1d13342bmxv33HOP1qEIISyI1B1CEi5hNpuPXeKz7zez3OYtXJRMCOhaMEBGRbsRFse7LfENe6BXVOwPfIHBWOdvRRRCaOyZZ55h+fLlWochhLAwUncISbiEWUTEJvPGN7+x3HouDZVUVO9geGAF2FTfABfuA14A4Lb839l1/Fy1bVcIIYrTt29fnJ2dtQ5DCGFhpO4QknCJanfy0jWeX/oHi3RzaKy7gureDGXMWrBvUK37sW3VlyQbf5yUbM7tXFGt2xZC1JwZM2agKEqhycfHR+uwhBC1nNQdwlLIc7hEtYpPzeL/Fm/nI+McWuvOozr5ooz5AZy8qn9nikJWu/vg4Ps0v/AT2XkvYmetr/79CCHMrl27dvz222+m13p9zV/L4eHh5OTkFCnftGkTfn5+NR6PEKJsUncISyAtXKLapGbmMW7xLmZkzaWD7hRGOzeUh9eCW6DZ9unX61GMKHRRjrA38qDZ9iNETdiwYQP29vbk5+ebyqKjo1EUhcTERA0jMz8rKyt8fHxMU8OGDYtdrk+fPkycOJHnnnsONzc3vL29+eKLL8jIyODRRx/F2dmZ5s2bs379+iLrrl69mpCQEOzt7fHw8GDAgAFkZGSY5h84cIAjR44UmeQLk6jtpO6QukPUbpJwiWqRnWfgiWV7GZ/yNr30hzFaO6B7aDV4BZl1vzq3AM45dwAgOeI7s+5LCHOLioqiXbt2WFlZFSrz9/fH09PTbPudM2cOTk5OpU47duww2/4BTp48iZ+fH02bNuX+++/nzJkzJS67bNkyPD092bdvHxMnTuTJJ59k1KhRdOvWjcjISAYPHsyYMWPIzMw0rRMfH88DDzzAY489RnR0NFu3bmXEiBGoqgy4Iyyf1B1Sd4jaTVHrwSdGnvhuXgajylP/i6D3iTk8aPU7qs4aZfQqaN6vRvZ/bsNHBOyZxl+0pN3r+7DSy+8I9ZE5rvOarjseeOABHB0dWbRokans5Zdf5ujRo/z6q/ke8p2cnExycnKpy/j7+2Nvb2+W/a9fv57MzExatWrFpUuXmDVrFsePH+fo0aN4eHgUWrZPnz4YDAbTlziDwYCrqysjRowwjQKWkJCAr68vu3fvpkuXLgBERkYSHh5ObGwsgYGVa3UfPHgwkZGRZGRk4O7uztq1a+nUqVMVjlzUBlJ3VJ7UHeUjdUfdVJHrXL6ZiipRVZVpPx4h9MTHBcmWokMZuajGki0A/66jAAjjJIeio2tsv0JUt6ioKMLCwsosq4yLFy8yevToYue5u7vTokWLUqeyvjAVd/P6zVNERESx6w4ZMoSRI0cSEhLCgAEDTF8Qly1bVuzyoaGhpn/r9Xo8PDwICQkxlXl7ewNw+fJlU1lYWBj9+/cnJCSEUaNGsXDhQlJSUko9pptt3LiRK1eukJmZyfnz5+ULk6g1pO6QukPUbpJwiSr5eMspHCM+ZYLVTwAod34A7YbXaAx6Vz9i7IMBSNy/pkb3LUR1ycrK4uTJk9xyyy2mMqPRSGRkZLm/NBkMhhLn+fn58fXXXxc7rzq6BT399NNER0eXOgUHB5frOBwdHQkJCeHkyZPFzre2LvwsP0VRCpUpigIUnL/r9Ho9mzdvZv369bRt25ZPPvmE1q1bExMTU66YhKitpO74l9QdoraSUQpFpc3feoq0Pz7kdetvCwoGzIDwRzSJJbP5EDhyBPfzvwPTNIlBiKo4ffo0BoOB1q1bm8o2btxIUlISYWFhxMbGctdddxEcHMyhQ4fo0qULn3/+OXFxcQwbNozOnTuzd+9e9u/fz4cffshXX32FoihMmTKF0aNHExsbyz333FPsL8Xjx4/n3nvvLTU+f3//Uud7enpW270iOTk5REdH07Nnz2rZ3nWKotC9e3e6d+/OtGnTCAwMZO3atUyaNKla9yNETZK6419Sd4jaShIuUSmfbzvNlc0fMt36fwUFvadAj+c1iyeg83A48i7B+Uc4fzmJRl4eZa4jRG3i4eGBoijs27ePO++8kz179vD0009jb29Py5YtiYuL48iRIyxZsoQOHTowfPhw1qxZQ+fOnTl69ChfffUVCxcuJCIiglWrVhEREUFmZiadOnWib9++pe7b3d0dd3f3GjrSol588UWGDh1KQEAAly9fZtasWaSlpTF27Nhq28fevXvZsmULgwYNwsvLi71793LlyhWCgsw7sI8Q5iZ1h9QdovaThEtU2KIdZ7iw6SPesP6qoKDXS9BniqYxOTduR6LOE09jIsf3bqDR0OL7mwtRW/n6+vLmm2/y8MMP4+TkRJ8+fRg1ahRbtmwxPVemRYsWhIeHA3Dfffexa9cuOnfuTKtWrUz3JuzcuZORI0diZ2eHnZ0d/fv3Z//+/dVyL4e5nD9/ngceeIDExEQaNmxIly5d2LNnT6VvUC+Oi4sL27dv58MPPyQtLY3AwEDee+89hgwZUm37EEILUndI3SFqP0m4RIUs3hlD7IaPmWX9zw2pPSZB36nwT79nzSgKl72645nwI8qpLYAkXMLyTJ06lalTp5Y4X7npOrv+2sHBocR1VFUtsl5ts2LFinIvu3Xr1iJlsbGxRcpuHoA3KCiIDRs2VDQ0ISyC1B1lk7pDaEkGzRDltuTPGE6v/4RZ1ksKCro/C/2naZ9s/cMuaBAATVL3YDTW+acdiHro5MmTREZGoqoq3333Hd26dSuyTI8ePfj+++/JyckhJSWFP/74Q0bEEqKek7pDCG1JwiXKpKoq87eeIm7de8yxXlxQ1mUCDJhZa5ItgMbht2NQFZpzgZOnjmsdjhDVLjQ0lHnz5hESEoK7uzsjRowoskzHjh0ZNWoU4eHh9OrVi5kzZ+Lr6wsU/ZVbCFE/SN0hhLakS6EoldGo8uYvR/Ha9xbTrH8GCpItZfDsWpVsAVg7uXPSLoiWOce4HPkrrVvJDa2ibrGysuLLL78sVNakSZMio4dNnjyZyZMnFypLTEzEzc3N7DEKIWofqTuE0Ja0cIkS5eYbmbQigqB9r/KkVUGyRf/ptTLZui7NtzsA1nF/ahyJELXHoUOHuP/++5kwYYLWoQghLIjUHUJUD2nhEsVKSs/hheXbeST+TfpY/YWKDuWuj6DDw1qHViq3tv0gdiFN06PIzzdgZaXXOiQhqkVxv0aXV2hoKKdOnarmiIQQlkDqDiG0Jy1coojo+DQmfLyK1xMm0kf/Fwa9Hcr9/6v1yRZAYFhv8tDjrSRz6sRRrcMRQgghhBD1nCRcopANRxJ4b8ECvsh5mea6ePIcfdH/ZyO0uUPr0MpFb+tIrG1rABKPbNE4GiGEEEIIUd9Jl0IBQE6+gXfXH8Nmzyd8brUKvaKS798J6we+AScvrcOrkFSvWyHuGFbn92gdihBCCCGEqOekhUtw+ko64+b9RP99T/Cy9Ur0iooxbDRWj/5qcckWgEPLngA0TjuocSRCCCGEEKK+kxauekxVVVbuj2PXz0v4WPc5DfQZ5Fs5YHXHf9Hd8mCtHYmwLE3a98WwRcFfuURC3Cl8GrfQOiQhhBBCCFFPSQtXPRWXnMnEL7di/OkZPta/TwMlgzzvW7B6cie0H22xyRaAg7M7Z6yaA3Dh0B8aRyOEEEIIIeozaeGqZ3LzjSzcfpqzW79kuvI1Da1SUVGg27NY95sKVjZah1gtkt1vgSunyIvdC4zTOhwhhBBCCFFPScJVj+w6lciX3//CuPQFTNAdByC3QXNshn0ITXtpG1w1swq8Fa6sxi3lL61DEUIIIYQQ9ZgkXPXAqcvpfLbxIG3+/pTP9Bux0hnJ19uj7zMZm64T6kyr1o0ahfSCCGiad5rMzHQcHJy0DkkIIYQQQtRDknDVYccT0li0+SB+fy/nVf0G3K3SAchrNRTr2+dCg8YaR2g+3gGtScYVdyWVv//aRUjXQVqHJIQQQggh6iFJuOqgIxdSWbpxLy3OLGeGfjNOVtkA5Lg2w3bou1i3GKBxhDVAUTjnGIx7xp+kn9oFknAJIYQQQggNSMJVR6iqyv7YFFb/tpOQs8uYrd+GrVUeANnubbDr+xK2bYeDvv685dleHSDmT2wvHdA6FCGEEEIIUU/Vn2/fddSpy+n8dPAcMZG/0TdzI3N0u7CyMgKQ5R2Ofb+XsWs12KKHea8spxZdIeYTGqUf1ToUIYQQQghRT0nCZYGuXMvh56jznIzYTJuk3xij30dDJRX0BfMzG/fGof/L2Ad2r5eJ1nUBId3J36TDS0ki5eIZ3PyaaR2SEEIIIYSoZyThshCZuflsOhLPkb2baXRxI3fo9uCtXDW9g7nWruja3olV58dx8O+gaay1hYtLA07qm9DSeIYLR7ZLwiWEEEIIIWqcJFy1VGpmHgfjUjh4NoW007sJTNjEIHYzXEk2tWTlWjljbH0Hdrfcg03T3nVyePequuwSQsurZ8iJ3Qs8onU4QgghhBCinpGEqxbINxg5cSmdg+eSiT39N9lxUbhf+5u2urPcrzuDr5IM//QMzNE7ktfiNpw63ItN875gZatt8LWc6t8Rrv6Ic9IhrUMRQgghhBD1kCRcGkhMzyEq9grnTkSRfe4gDinRtDLGcIfuLA2UjIKFrP9dPk9vT0aTQbh2vBfbFgOwtbbTJnAL5N66KxyFgJwTqPm5KNIKKIQQQgghapBFJFxz587l+++/5/jx49jb29OtWzfefvttWrdurXVoReTmG0nPyedadh7XsvO5lp1PVvpVsuP+IjPuIHaJRwnMO01P5Ty2Sn7BSgqmboIGRU+ma0ts/MOwbXQL+IRg7R9OAxsHrQ7JojVrcwtpqgMuSiYJpw7i0+ZWrUMSQgghhBD1iEUkXNu2bWPChAl06tSJ/Px8pk6dyqBBgzh27BiOjo7l31DSach1KnaWwaiSmZNPRl4+GTkGMnML/mbk5JORm09GroHMHAMZOXn//js3n8zcgmUyc/NJzzGQbzAQoFymrXKWtrpY2ipnaaq7VHhnuoI/2TpH0hq0wdovDNdmHdD5hqJv2AZn6SZYbexsrIm2aUX7vCiuHN8lCZcQQgghhKhRFpFwbdiwodDrJUuW4OXlxYEDB+jVq1f5N/RFb7Atfph0PeD8z1RpVpR4RpP0DUl1bYOVXxgeLTriGHALdm5NsKvHw7bXlKtuoXA5CuP5CK1DEUIIIYQQ9YxFJFw3S01NBcDd3b3Y+Tk5OeTk5Jhep6WlAXBVdcCo6srcvqIoKBQ8wkq56TUoBeUKKNf/zb+vUUBx9kXxDQWfkILJOwQPRw88qnTUorKsAzrB5eW4X5WBM0TpSqo7hBCiNFJ3CCFKY3EJl6qqTJo0iR49ehAcHFzsMnPnzmXmzJlFylf1WI+XhxvOdlY42Vr/89cKFztrnP75t41V2QmZsCzebbtDBPjnxWHISkVv76p1SKKWKqnuEEKI0kjdIYQojaKqqqp1EBUxYcIEfv31V3bu3EmjRo2KXaa4X5oaN25MamoqLi4uNRWqqCUMRpWEmS3xV65wfuhKGoXfpnVIwgzS0tJwdXWt0nUudYcQ9Y/UHaK+MBgM5OXlaR2GRbGxsUGnK74xpiJ1h0W1cE2cOJGffvqJ7du3l5hsAdja2mJrKwNPiAJ6ncI5+zb4Z18h5eRuSbhEiaTuEEJUhtQdojZTVZWEhASuXr2qdSgWR6fT0bRpU2xsqvZYIYtIuFRVZeLEiaxdu5atW7fStGlTrUMSFibd8xY4vwOr+ANahyKEEEIIUWOuJ1teXl44ODigyIBt5WI0Grl48SLx8fEEBARU6bxZRMI1YcIEvvnmG3788UecnZ1JSEgAwNXVFXt7e42jE5bAvumtcP4TvK8dAVW9PgKKEEIIIUSdZTAYTMmWh4cM31ZRDRs25OLFi+Tn52NtbV3p7VjECBELFiwgNTWVPn364Ovra5pWrlypdWjCQgS060K+qsPdmEJucpzW4QghhBBCmN31e7YcHBw0jsQyXe9KaDAYqrQdi2jhsrBxPUQt1Njbk7+VANoQS/yxnQT2fFDrkIQQQgghaoR0I6yc6jpvFtHCJURVKYrCBcd2AGSc3qNxNEIIIYQQor6QhEvUG3k+HQCwuxylbSBCCCGEEKLekIRL1BvOLboA4Jd5HAz5GkcjhBBCCCFKk5CQwMSJE2nWrBm2trY0btyYoUOHsmXLFgCaNGmCoihFprfeekvjyAuziHu4hKgOLYLac22DPc5KFlkXj2Df+BatQxJCCCGEEMWIjY2le/fuNGjQgHfeeYfQ0FDy8vLYuHEjEyZM4Pjx4wC88cYbjBs3rtC6zs7OWoRcIkm4RL3h3cCR/boWdFIPkxD9J00l4RJCCCGEqJWeeuopFEVh3759ODo6msrbtWvHY489Znrt7OyMj4+PFiGWmyRcol654hoMVw+TG7sPmKB1OEIIIYQQNUpVVbLyqjbMeWXYW+vLPepfcnIyGzZsYPbs2YWSresaNGhQzdGZlyRcol5R/cLh6rc4J/6ldShCCCGEEDUuK89A22kba3y/x94YjINN+VKPU6dOoaoqbdq0KXPZyZMn89prrxUq++WXX+jTp09lwjQLSbhEveLRuhscA5/cWMi5Bra1q4+vEEIIIUR9d/0ZvOVpEXvppZd45JFHCpX5+/ubI6xKk4RL1CttWrbkguqBv5JEekwETm36ah2SEEIIIUSNsbfWc+yNwZrst7xatmyJoihER0czfPjwUpf19PSkRYsWVYzOvGRYeFGvNHCw4aRVawCuHP9T42iEEEIIIWqWoig42FjV+FTe+7cA3N3dGTx4MJ9++ikZGRlF5l+9erUaz4j5ScIl6p2r7qEAGM9HaByJEEIIIYQozvz58zEYDHTu3Jk1a9Zw8uRJoqOj+fjjj+natatpuWvXrpGQkFBoSktL0zDyoiThEvWOVeOOALinHNY4EiGEEEIIUZymTZsSGRlJ3759eeGFFwgODmbgwIFs2bKFBQsWmJabNm0avr6+haaXX35Zw8iLknu4RL3j06YrhgMKboZESLsILn5ahySEEEIIIW7i6+vLvHnzmDdvXrHzY2NjazagSpIWLlHvtG3iwwm1MQCpJ3drHI0QQgghhKjLJOES9Y6DjRUxtkEAJEvCJYQQQgghzEgSLlEvpTcMA0B/MVLjSIQQQgghRF0mCZeol+yb3gpAw2vHwGjQOBohhBBCCFFXScIl6qXA1u1JV+2wV7MwXj6udThCCCGEEKKOkoRL1EtB/m4cpRkgD0AWQgghhBDmIwmXqJes9TrinYIBSD+9R+NohBBCCCFEXSUJl6i//MMBsL8cpW0cQgghhBCizpKES9RbDdt0A8A7JwZyMzSORgghhBBC1EWScIl6K7hNEPGqO3qMXD29X+twhBBCCCFEHSQJl6i3XB2sOWXdGoBL0Ts1jkYIIYQQQlz3yCOPoCgK48ePLzLvqaeeQlEUHnnkEVNZQkICEydOpFmzZtja2tK4cWOGDh3Kli1bTMscPHiQO++8Ey8vL+zs7GjSpAn33XcfiYmJZj0WSbhEvZbuWfAAZGPcAY0jEUIIIYQQN2rcuDErVqwgKyvLVJadnc23335LQECAqSw2Npbw8HB+//133nnnHQ4fPsyGDRvo27cvEyZMAODy5csMGDAAT09PNm7cSHR0NF9++SW+vr5kZmaa9TiszLp1IWo5x2a3QsJneKYe1joUIYQQQghxgw4dOnDmzBm+//57Ro8eDcD3339P48aNadasmWm56y1e+/btw9HR0VTerl07HnvsMQB27dpFWloaixYtwsqqIAVq2rQp/fr1M/txSAuXqNeahvTEoCo0NF4hO/mC1uEIIYQQQpiXqhYMFlbTk6pWKtxHH32UJUuWmF5/+eWXpiQKIDk5mQ0bNjBhwoRCydZ1DRo0AMDHx4f8/HzWrl2LWslYKktauES91sjHk1NKY1pyjnOHd9Cq9/1ahySEEEIIYT55mTDHr+b3++pFsCmaEJVlzJgxvPLKK8TGxqIoCn/++ScrVqxg69atAJw6dQpVVWnTpk2p2+nSpQuvvvoqDz74IOPHj6dz587069ePhx9+GG9v78ocUblJC5eo1xRFIcGl4D6uzBPbNI5GCCGEEELcyNPTkzvuuINly5axZMkS7rjjDjw9PU3zr7dWKYpS5rZmz55NQkICn332GW3btuWzzz6jTZs2HD5s3ltLpIVLiCbd4dDPNLi8V+tIhBBlUFWVazn5JKRm/zul/TOlZnP5WjaZuQZy8ozk5Bf8zTeqONrqcbK1wsnOigb2NjRr6EhLb2daeTkR0sgVBxv571AIUU9YOxS0Nmmx30p67LHHePrppwH49NNPC81r2bIliqIQHR3N8OHDy9yWh4cHo0aNYtSoUcydO5f27dvz3//+l2XLllU6vrLI/zCi3mvUYTAcmkJA7hmyU69g59pQ65CEqJcMRpWk9Bzi/0miLqVlE5+azaXUfxOqhLSChArAjhy8lRR8SMFbSaGZkkIX5SoOZGOn5GFLLrbkYYWBzBxbMrLtyUi1Iw0HYs74sEL1J0b1xWDlQI8Wngxo681t7Xxwc7TR+EwIIYQZKUqluvZp6bbbbiM3NxeAwYMHF5rn7u7O4MGD+fTTT3nmmWeK3Md19epV031cN7OxsaF58+ZkZGSYJe7rJOES9V6TwKacoRHNlPOcjdxE676jtQ5JiDrFaFS5lp1PSmYul9IKJ0/X/15KzebStRwMRhUr8vEkFR+lIJHyUlLoriTjrVzFm2S8bVLw0V3Fher5DzLaGMDWU2Gs/fsWZv8cxD2dmvB4z6Y0cqv8r7FCCCGqj16vJzo62vTvm82fP59u3brRuXNn3njjDUJDQ8nPz2fz5s0sWLCA6OhofvnlF1asWMH9999Pq1atUFWVn3/+mXXr1hUalMMcJOES9Z6iKFxo0JFmV8+T+fcfIAmXECXKzjNwNTOPlMxcUjJzSc3MI+Wf11czc0nJzDP9LSjLIzUrD4NRBVTcuFYokWpJCj2UFLyVZLytUvBWruKppKKjnCNIWTuAs+8/k0/BZOsMVrZgZV/wV2dVcJN4zrWCkbIyEyHxFCSegMxEgnTnCNKd40mrn7mgerB87yCG7unHyG7BTBrUSrobCiFELeDi4lLivKZNmxIZGcns2bN54YUXiI+Pp2HDhoSHh7NgwQIA2rZti4ODAy+88AJxcXHY2trSsmVLFi1axJgxY8wau6LW9LiIGkhLS8PV1ZXU1NRS3yxRf+38cRE9Dr7AOatAAl47pHU4ohLMcZ1f3+a07/Zh5+BULdu0BCqQmZv/b/KU8W8SlZVnAFScyKKBkk4D0mmgZPzzNx1XMmigpOOmpOP6T1mDf8oakI61YihfEDorcPongXK5MaHy+6fsn7+2LgXdYyor/Qqc2QonN6Ge2oySlQJApmrLZ/lD+cV5FG/e05HuLTxL346wWOasO+R7h9BadnY2MTExNG3aFDs7O63DsTilnb+KXOfys50QQJPwwXDwBQLyz5KZEo+Dm6/WIYlaJH/P5+Tb1p/7ehTAjRyaKhk0UK79mzAp6bjaFiRXVoqx8jtw8Cw9iXL2LVhGVwMD6To1hNBREDoKJS8bjqyG3fNxuHyUSdaruTtzB69/+R+ih4ziPz2almsULCGEEOJGknAJAfj7N+KUEkgL9SyxERtpO/ARrUMStchk61W4WMsX7SKs7MHerWBycAf7Bv++LjS5//O3ATh6gVUtTV6t7aD9Q3DLaDiyBuPGV2mafonl1nN5f8NJJsdPYM7IMKz08kQVIYQQ5ScJlxAU3McV79aRFslnyT65FSThEjdqNwIcammSYC7W9qUkTv8kT9b2WkdpHooCIfegazkIddNr6CKX8aL1d2w+fIbJebN554Eu6HWSgAshhCgfSbiE+Id1iz6wbw3eiXu0DkXUNnd9DHIfRv1j54Jy18fQuDOGn59nIAdwOj6JqSvfY859XdFJ0iWEEKIcpF+EEP9oeevt5Ks6/I3xJJ0/oXU4Qojaov1D6B/5mXwrR7rqjzEy+lnmbTqsdVRCCFFu9WCMPLOorvMmCZcQ//Dw8ORv6zYAnNv3i8bRCCFqlYAuWD3yM7nWLnTSnaDVn5P49a/zWkclhBClsra2BiAzM1PjSCzT9YctF/fsr4qQLoVC3CDZpyecP4buzO/AJK3DEULUJo3CsXloFflLh3Kbfj9L1rzMGb8vaNaw/jwyQAhhWfR6PQ0aNODy5csAODg4yGir5WQ0Grly5QoODg5YWVUtZZKES4gbNAi9Dc5/TvP0AxjzctFZ17OBEoQQpQvsijJ8Aax9nEd1v/LWsk+Y9NxkbKykw4gQonby8fEBMCVdovx0Oh0BAQFVTlIl4RLiBq1v6cnVX51ooKRz5tB2moUP0DokIUQtow8bRfr5Qzjt/5inrn3Esl87MW6Y1BVCiNpJURR8fX3x8vIiLy9P63Asio2NDbpqeCakJFxC3MDGxpq/nDrSKWMrSX+tl4RLCFEsp9umk3xmJ+5JkYQfmEJ0x80E+btpHZYQQpRIr9dX+V4kUTnSB0KIm+Q17QuAa/xOjSMRQtRaeivcH/6KLJ0jHXQn2fXNbAxGGQVMCCFEUZJwCXGTwE53AtA892+upUh/ZyFECVwbkdtvJgAPpi/j1627NA5ICCFEbSQJlxA38Q9sQYzSGL2icmbvr1qHI4SoxVy7P85Ft87YK7m4bX+NtGy5P0IIIURhFnEP1/bt23n33Xc5cOAA8fHxrF27luHDh2sdlqjD4j270fTKSvJO/Aa3Pap1OEKI2kpRaHj/J+Qv6EZPIln1/TLuffBxraMSQlDw0NrsPCMZuflk5hgK/ubmk5FjIDPXUPDvXAOZOQV/c/INGI0qRhWMqor6z1+douBgo8fBRo+9jRWONnrcHW3wa2CPfwN7GjhYy1DrolQWkXBlZGQQFhbGo48+ysiRI7UOR9QD9m0GwpWVNE7ZjWo0olTDCDVCiLrJ2rsNZ1s/QuDfi+n097tcuno/3g3k2VxClEZVVXLyjeTkGcnKM5CdZyj0t2i5kezrr3MNZOcbyMo1kpV3PYH6929BMlWQYKk1cGulvbWe5l6OhDVqQFijBtwS0ICWXk6ShAkTi0i4hgwZwpAhQ8q9fE5ODjk5OabXaWlp5ghL1GGtbh1MznZrvEni/KlDNGp1i9YhiRogdYeorIC7p5P69nc0JYEfv5/HsMemaB2SqEEl1R0PfLEHa3tHrcKqFVQgL99Idr6B7FwD2flGU8JUE8nQdfbWehxt9TjYWOFgo8fR9p+//7x2sNVja6VHr1PQKQo6BfQ6BUVRMBiNZOYWJHrXW8QS03O4cDWbxPQcsvIMHLmQxpELaXy99xwAjd3tGdzWh9uCfQgPdJPkq56ziISroubOncvMmTO1DkNYMEcnFw7ZhRCaE0n8gV8k4aonpO4QlaXYuZLUfiKukbPpdPYLEpKexMfDVeuwRA0pqe44fCEVna3c11cWvU7B3lqPnbUOO2s9dtb6El/b//P6+nQ9iXK00WN/cyJlW/DX3lqPTmeehCc7z8DFq1kcT7jGX3FXifpnikvOYtHOGBbtjKG1tzOP9WjCsFv8sbOWYdnrI0VVa/L3hapTFKXMe7iK+6WpcePGpKam4uLiUgNRirpg1/JpdDvzEYfsbyV08iatwxFlSEtLw9XVtUrXudQdoirUvCyS57bDw5jEOv/nuH2cJO+WwJx1x9q9J3F0cq6uUC2WtV65IWm6IZmyKfi3tb5uddvPzM1n+4krbDx6iY1HE8jMNQDQ0NmWlwa15p7wRmZLAEXNqUjdUSdbuGxtbbG1tdU6DGHhGobdBmc+okVmFHm52Vjb2GkdkjAzqTtEVSjW9lzt9Dwee1+j8/klJCROxMfTU+uwRA0oqe7o18ZLfqyphxxsrLgt2Jfbgn1Jzcpj1f44lu6K5cLVLF5ec4hlu2OZOyKE0EYNtA5V1JC69ZOCENWoefCtJOOCg5LD6cjftQ5HCGEBmg38PxL0vngqqRxZ847W4QghNOZqb824Xs3448U+TL09CGdbK45eTGPE/F3M33pKHpheT0jCJUQJdHo9Z5w7ApB6ZLPG0QghLIFiZUNq5xcAaH/xW66mpmockRCiNrCx0jGuVzO2vtSHIcE+5BtV3tnwN48u3S/P76sHLKJLYXp6OqdOnTK9jomJISoqCnd3dwICAjSMTNR1xqZ94NDvuCXs1DoUIYSFaDXgES7tfQdv42W2/jKfPqNf0TokIeoeVQVDLuTn3PA3B/JzIT+7aFm5591UduM8nR6sHQomGwewtgdrR7B3A9dGBVODxuDiD1bFd0/3cLJl/ugOfHfgPNN/PMr2E1e4Z8EuFo/tRGN3hxo+iaKmWETCFRERQd++fU2vJ02aBMDYsWNZunSpRlGJ+qBxpzvh0DSa550kNeUKrm4NtQ5JCFHLKXpr4ts+jveRObQ4uYSc3BewtbHROiyhhR0fgKPc/1uYWkySlHNTWTnn1VoKuAVCo07/Tj4hoLcumKso3NuxMUE+Lvxn2X5OXErn3s93s+KJLgR61O/HCNRVFjdKYWVUxwhEov46+0Y7Ao3nOdjlY9rfNlbrcEQJzHGdS90hKis38xqZ7wTRgGvsDn+frkP/o3VIogRmrTumOONiK6PR1QidFehtwcoGrOxAb1PQynS9TG9b8NrKtmLzbtyW0QB5WZCXUfA3NxPyMiEzEVLPw9W4gr/5WUXjs3WFNndA8Eho1tuUfMWnZjFm8T5OXU7H19VOki4LUu9HKRSiOiV4dCHwymryTm4BSbiEEOVg4+DMX4EP0OnsF3hEzUe941EUndw2Xe/cMhocZOTTIookNjcnO6XNKyGpqi3Xl6pCRiJcOgxx++H8P1P2Vfjrm4LJ3h3Cx0KXCfi6NuSbcbfy4MK9nLqczpjF+/j+qW54Osnnpi6RFi4hyhD127fcsnM8FxRv/Kef0DocUQJp4RK1TVpSAtYfh2Cv5HJk4DcEd79D65BEMaTuEGZnNELcHjiyBo79CBlXCsqt7KDDWOg5ics0YOSCXcQlZxHWuAErxnXB3kYeklybVeQ6ryU/BwhRe7XofBt5qh5/9RIXzkRrHY4QwkK4ePhw2HMIALm7P9M4GiGEZnQ6COwGd7wHk47D/d+Af3jBQBz7Pod5nfCK/oqlY8Np4GDNX3FXeXXtYepBm0i9IQmXEGVwcnHjpE0QAOcP/KpxNEIIS+LZ/2kAQq/t5Mr5U2UsLYSo8/RWBfdyPb4FHv6xIPHKSYN1L9L8p7tZMtQdvU5h7cELLN99VutoRTWRhEuIckjz6wGAdew2jSMRQliSZm07c8QmDCvFSOyGj7UORwhRWygKNOsD/9kMt/8XbF3gwgHab7ibzzrGAzDr12Mcu5imbZyiWkjCJUQ5uIUMAqBFxgEM+fkaRyOEsCSZ7QtGKGx5/nvysjM0jkYIUavo9NB5HEzYCwHdICeNgYcm8anPr+QZjExaFUVOvkHrKEUVScIlRDk0D+tJGg64kMHpQ39qHY4QwoLc0v8BLtKQBlwjevMSrcMRQtRGLn4w9ifoMgGAO65+zQf2X3IiIZUPfzupcXCiqiThEqIcrKxtOO3QHoDkQxs1jkYIYUlsbGw4GXAfAC6HviwYNloIIW6mt4bb5sBdn4Ci4251Cx9bf8KibSc4cDZZ6+hEFUjCJUQ55Qb2BsD54k6NIxFCWJpWQ54iW7WmSd5pzh/6XetwhBC1WYeHYdRS0Ntwp34vb1l9wUurosjOk66FlkoSLiHKya/DbQC0zDlKVsY1jaMRQlgSX19/9rsMAODq1k81jkYIUeu1HQb3LkdV9IzU7+Ch1M9ZtP201lGJSpKES4hyatQ8hAQ8sVHyObl/k9bhCCEsjEOPJwFonbyVrKQ4jaMRQtR6rYegDF8AwGNWG7i67VPOp2RqHJSoDEm4hCgnRacjrkFnADKPb9E4GiGEpWnfqReHdEFYKwZOrZdWLiFEOYTdhzrwTQCmKMtZvWq5xgGJypCES4gKUFr0BaDhld0aRyKEsDQ6nUJi27EA+J9egZqfo3FEQghLoHSbSGqre7BSjDxy8Q12R/6ldUiigiTh+kdSUhJeXl7ExsZqHUqV3HPPPbz//vtah1FnNe00BIDmhjMkXTqvcTRCCEvTYfAYLqtuuKspxOxYoXU4QghLoCi4jvqUCw5BNFAycPz1SXkmqIWRhOsfc+fOZejQoTRp0oQNGzagKEqp0/r160vcVlXXr4pp06Yxe/Zs0tKq98nk27dvZ+jQofj5+aEoCj/88EORZWbMmFHkOH18fKo1Dq15eDfmjL4JADER5nkPhRB1VwNnJ6K8hxe82PeFprEIISyItR0uo5eRgR2hhqMcWzVD64hEBUjCBWRlZbF48WIef/xxAHr37k18fLxp8vDw4NVXXy1UNnDgwBK3V9X1qyI0NJQmTZrw9ddfV+t2MzIyCAsLY968eaUu165du0LHefjw4WqNoza47NkVAOOpPzSORAhhiQIGPkWeqqdZ1hFSTkVoHY4QwkI4+7dmf9CrAASd+JSc2D0aRyTKSxIuYP369VhZWdG1a8EXaXt7e3x8fPDx8cFgMJCUlESPHj1MZT4+PlhZWZW4vaquX1V33XUX3377bbVuc8iQIcyaNYsRI0aUupyVlVWh42zYsGG1xlEbOAQVDO0ckLIX1WjUOBohhKVp07IVu+16AHDxt481jkYIYUm63D2BTbqeWGEkZ8VjkJ2qdUiiHCThoqC7XMeOHYudd/DgQQDCw8Mrte2qrl8ZnTt3Zt++feTk1PwN2SdPnsTPz4+mTZty//33c+bMmRqPwdxadBxIrmqFD4nEnT6idThCCAtk7FjQo6JFwnry05M0jkYIYSnsbKzIGvQuccaGuGRfIGfda1qHJMpBEi4gNjYWPz+/YudFRkbi7++Pl5dXpbZd1fUrw9/fn5ycHBISEmpsnwC33nory5cvZ+PGjSxcuJCEhAS6detGUlLd+jLh4OTKSdu2AMRHbtA4GiGEJerS+3aO0wRbcjm96TOtwxFCWJA7O7fhY5fnAbA9tBxi/9Q4IlEWSbgouIfLzs6u2HmRkZF06NCh0tuu6vo3MhgM5VrO3t4egMzMog/HK25gi5uniIjK3VMwZMgQRo4cSUhICAMGDODXX38FYNmyZZXaXm12za+gO5DNuW0aRyKEsER2NlacaToaALejy8FYvvpdCCH0OoU7ho7im/yCR9Xk/TgR8rI1jkqURhIuwNPTk5SUlGLnRUZGVqk7YEnrL1y4kJCQEMLCwpgyZQoAb7/9NsHBwYSEhJgGvYiNjSUsLIxx48bRvn17cnJyWLJkCZ07dyY0NJRp06YV2XZycjJAsfdPPf3000RHR5c6BQcHV/p4b+To6EhISAgnT56slu3VJu4hgwBonhFJfl6extEIISxR6G2PcVV1xMuQQPy+NVqHI4SwIL1bNWRLo6e5rDbAOuU07Piv1iGJUphv5AYL0r59e/73v/8VKU9KSiIuLq7SLVQlrX/o0CE+/vhjdu7ciaurK8nJyURERLBq1SoiIiLIzMykU6dO9O1b8MvF0aNH+eqrr1i4cCHHjh1j3bp17N69G0VRGDZsGLt37zYN+AFw5MgRGjVqhKenZ5GYPD09iy03h5ycHKKjo+nZs2eN7K8mNQ/rQdrPDriQyd+HdtI6vK/WIQkhLEwjb0/Wud3F7Ve/JXfbR9DlXq1DEkJYCEVRePr2cKZ/NpYFNh+h7vwApd0I8G6rdWiiGNLCBQwePJijR48WaeU6cOAAQKUTrpLW37p1K/fddx+urq4AuLu7s3PnTkaOHImdnR3u7u7079+f/fv3A9CqVStCQ0MB2LJlC7t37yY8PJwOHToQHR3N6dOnC21/x44dDBo0qFIxlyQ9PZ2oqCiioqIAiImJISoqinPnzpmWefHFF9m2bRsxMTHs3buXe+65h7S0NMaOHVutsdQGeitrTjsWvK9X/1qncTRCCEvlP/h5clQrArOOkBK9XetwhBAWpH2AG8Y2Q9lsCEcx5sOvk0BVtQ5LFEMSLiAkJISOHTuyatWqQuUHDx7Ey8sLf3//IussXboURVFK3W5p65dFVVXT9h0cHAqVP/HEE6bk59SpUzz00EOm+dnZ2axdu5Zx48ZVeJ+liYiIoH379rRv3x6ASZMm0b59+0JdGs+fP88DDzxA69atGTFiBDY2NuzZs4fAwMBqjaW2yGpa8Cy1hhe3aByJEMJShQW1ZrtDwaMmEje9o3E0QghL8+LgNszMH0umagvndsNf1ftYIFE9JOH6x+uvv85HH32E8YbnKk2ePJlLly4Vu3xsbCy9e/cudZslrd+vXz9WrlxJamrBsxOSk5Pp0aMH33//PTk5OaSkpPDHH3/QqVOnEte93hp3/vz5QqMALl68mFtvvZUuXbqUfdAV0KdPH1RVLTItXbrUtMyKFSu4ePEiubm5XLhwgTVr1tC2bd1t2m7SdQQGVaFZ/mmSL9S9+9SEEDXDrvezGFWFlik7yLhwVOtwhBAWpKW3M1073MJH+QXPSVU3vQ6ZyRpHJW4mCdc/br/9dv7v//6PCxculGv5jRs38s47lfs1Mjg4mGeffZbu3btzyy238O6779KxY0dGjRpFeHg4vXr1YubMmfj6+ha77uTJk+nTpw8hISHce++9ZGRkmOZbW1vzySefVCouUTF+/gFEW7cDIGbndxpHI4SwVN07d+VPq1sBuPDLXI2jEUJYmucGtuJ/3MEJoz9KZiL8/qbWIYmbKKpa9zt7pqWl4erqSmpqKi4uLlqHI+qQHV+9Qc/T73HMNoy2r8j9F1oyx3UudYeoKZs2rWPQrgcwoCP3/3Zh7xukdUj1htQdoi5485djHPlzHStt30RFQXl8CzSq/CjbomwVuc6lhUuIKgjsNgqA1tmHSLt0roylhRCieH3738ZOfWf0GDn/fdHHfQghRGme6tOcozYhrDH0REGFX56T5/vVIpJwCVEFAc2DOKoPQq+onNqySOtwhBAWylqvI6tHwTMZW17ZRPq5KG0DEkJYFA8nW8b1bMbcvAe5hiMkHIL9i7UOS/xDEi5R69199924ublxzz33aB1KsZJa3QeA96nvZDhWIUSl9evdjz+sCp5beGntVI2jEUJYmv/0bIrq2JC38/55pt/vb8K14gd/EzVLEi5R6z3zzDMsX75c6zBKFDJoLBmqLf7Gi5zev0HrcIQQFkqvU9D1e4U8VU/zlJ0kRv2qdUhCCAviZGvFhL4t+MbQn2NKc8hJg02vaR2WQBIuYQH69u2Ls7Oz1mGUyM3NnSi3ggdN52x9T+NohBCWrFfXbmxwHAaA8deXID9H44iEEJZkdJcAfBs4Mjn7UVQUOLwKYmRQL61JwlWPzZgxA0VRCk0+Pj5ah2WRfG6fTL6qo23mfmL/2qZ1OEIIC6UoCq3vn8VltQFeeReI+fktrUMSQlgQWys9zw9sxWG1GSvUgQWFv74A+bnaBlbPScJVz7Vr1474+HjTdPjw4RqPITw8nODg4CLTxYsXazyWymreKoT9LgWtXIZfXsCYn69xREIIS9UqwJ8/mz0HgN9f88i4cETbgIQQFmVEe39uadyAuTmjSNO7QeIJ2C3PaNWSJFzAhg0bsLe3J/+GL8nR0dEoikJiYqKGkZmflZUVPj4+pqlhw4bFLtenTx8mTpzIc889h5ubG97e3nzxxRdkZGTw6KOP4uzsTPPmzVm/fn2RdVevXk1ISAj29vZ4eHgwYMCAQg9rPnDgAEeOHCky+fn5me24zaHxqLdJUx1onneSqP9N0TqcCsnLy8POzg5vb28Mhn+HkV23bh1eXl5V2nZOTg7jxo2jadOmODs706ZNG7788stCyzzyyCPY2Njg5ORkmnbv3m2af+HCBYYPH46Hhweenp6MGjWKS5fkRmBRdw24dwK7de2xJZeUrx6ttb9Om7PugLLrhry8PJ5++mnc3d1xd3dn4sSJhf4vB/jpp5+45ZZbcHR0xM/Pj88++6zKcQlRm+l0CrOGB5OuODIt64GCwm3vQspZbQO7gZZ1R3m+l9y4npOTE9bW1oSGhlY6Hkm4gKioKNq1a4eVlVWhMn9/fzw9Pc223zlz5hR5Q2+eduzYYbb9A5w8eRI/Pz+aNm3K/fffz5kzZ0pcdtmyZXh6erJv3z4mTpzIk08+yahRo+jWrRuRkZEMHjyYMWPGkJmZaVonPj6eBx54gMcee4zo6Gi2bt3KiBEjqIvP224U0IRDoQUji3WIXcjBHy3n16SjR49iNBpxdHQs9JmLjIwkPLxqD07Mz8/H19eX3377jbS0NJYuXcoLL7zApk2bCi331FNPkZ6ebpq6du1aaB7A2bNniYmJIScnh2effbZKcQlRmznb22A7Yj4pqhONsk9watWrWodULHPWHdeVVjfMmjWLnTt3cvToUY4ePcqOHTuYM2eOaf6GDRt46qmn+PDDD0lLS+Po0aP06dOnWuISojYL9nfloS6B/GDsTpQ+GPKz4Jfna81oylrWHeX5XnLjeunp6QQFBXH//fdXOhZJuIC//vqLW265pVDZwYMHCQsLM+t+x48fT1RUVKlTx44dzbb/W2+9leXLl7Nx40YWLlxIQkIC3bp1Iykpqdjlw8LCeO2112jZsiWvvPIK9vb2eHp6Mm7cOFq2bMm0adNISkri0KFDpnXi4+PJz89nxIgRNGnShJCQEJ566imcnJzKHefgwYMZNWoU69ato1GjRuzfv7/Kx24u3UdMYEfDgguy/cHX2LdsikV0L4yMjKRt27bcd999rF692lR+4MCBKld8jo6OvPHGGzRv3hxFUejSpQt9+/Zl586d5d5GTEwM9957L05OTjg7O3Pfffdx5Ih0sxJ1W4fgtmxvXZBotTixkAu7V2kcUVHmrDvK48svv+S1117D19cXX19fpk6dyuLF/z576PXXX2fatGn06dMHvV6Pm5sbbdq0MXtcQtQGLwxqjaeTHS9kjiVfsYHTW2B/7XhmqJZ1R0W/l+zbt49jx47xyCOPVHqfknBR0Jp1c3JVXFllXLx4kdGjRxc7z93dnRYtWpQ62dvbl7r94ga+uHmKiIgodt0hQ4YwcuRIQkJCGDBgAL/+WjAE8bJly4pd/samVL1ej4eHByEhIaYyb29vAC5fvmwqCwsLo3///oSEhDBq1CgWLlxISkpKqcd0s40bN3LlyhUyMzM5f/48nTp1qtD6NUlRFLqNn8+uf5KuzjELOP5OX84e2aVxZKWLjIykQ4cOjBw5krVr15paIA8cOECHDh0KLfvUU0/RoEGDEqeyEqns7Gz27dtXpGl++fLluLu7065dO9577z2MRqNp3qRJk/juu+9ITU3l6tWrfPvtt9xxxx3VdPRC1F633/ck6xyHA+C2cSIpMVGaxnOzmqg7SqobUlJSOH/+fKEfTG+55RbOnTtHamoqGRkZHDhwgLS0NNq0aYOPjw/33XcfCQkJ5jkZQtQyrvbWvDUihNOqP7NzC54ZyqbX4coJbQND27rjZiV9L7lu8eLFDBkypGq3uqj1QGpqqgqoqampReZlZmaqer1e3b59u6nMYDCoHh4e6ooVK8q1/fz8/ErFNXv2bNXR0bHU6ca4inPlyhU1Ojq61CkrK6vcMQ0YMEAdP358kfLevXurzz77bKGywMBA9YMPPihUBqhr164tVGY0GtWdO3eq06ZNU0NCQtSGDRuqZ86cKXdMFsloVP/87kM1fVpDVZ3uoqrTXdSzM9uqf83tr+797wh154Kn1b//2q11lCZdu3ZVP/nkE1VVC97XnTt3qleuXFEBNTY2ttr2YzQa1dGjR6t9+vRRDQaDqfzAgQPq5cuX1fz8fHX37t1q48aN1ffff980/8SJE2q3bt1URVFURVHUrl27qmlpaYW2Xdp1Xlnm2KYQFZWcmq4emNldVae7qFdmNFFTL5zQOiQTc9cdpdUN586dUwH1ypUrpuUvX76sAmpcXJwaFxenAmpoaKgaGxurXrt2TR09erQ6YMCAQvuQukPUdVPWHFKbTP5J3TujR8F3kk+7qGpOuqYxaVl33Kik7yXXZWRkqC4uLuoPP/xQZF5FrvN638J1+vRpDAYDrVu3NpVt3LiRpKQkwsLCiI2NJTQ0lAcffJDg4GAef/xxDAYDsbGxhIWFMW7cONq3b09OTg5vv/02wcHBhISE8PXXXwMQGxtbYrfA6uhS6OnpSZs2bUqd7OzsynUucnJyiI6OxtfXt5xnr3wURaF79+7MnDmTgwcPYmNjw9q1a6t1H7WOotDtnmdJfngr+5z6Y1AVAoznCc3eT+drv9E9YTnN19zGjiWvaX4/m8Fg4K+//jL9ojRixAjWrFnDgQMH8PDwIDAwsFr2o6oqTz75JH///Tc//PADOt2/1U+HDh1o2LAher2eLl26MGXKFFauXAmA0Whk4MCBdO/e3dSXukePHgwePLha4hKitnNzccTt0W85RQCeajKZi+4g7dI5rcOqkbqjtLrhetf01NRU0/LX/+3s7Gya/8wzzxAYGIiTkxMzZ85ky5YthQZuEqKue/3OIJp4OvN01v+RonODy8fgp2c0u59L67rjutK+l1y3atUqHBwcqtyrpt4nXB4eHiiKwr59+wDYs2cPTz/9NPb29rRs2RKAI0eO8MILL3D48GGuXLnCmjVrgIIb/iZOnMihQ4c4fPgwq1atIiIigm3btjFt2rQyhzWvji6FVfHiiy+ybds2YmJi2Lt3L/fccw9paWmMHTu22vaxd+9e5syZQ0REBOfOneP777/nypUrBAUFVds+arPGzdvS+cXvSX4qmgM9vmBf2Cz2tZzEIcdu6BWVnmc/Yc9372sa4/Hjx8nOzjZ1oR05ciRr1qwhIiKiSLM+FPxQUNGBXlRVZcKECezbt49Nmzbh6upaakw3VnrJycmcPXuWZ555BgcHBxwcHJg4cSK7d++u86OICnFd08aN0T28lvN442O8RPrng0g4e1zTmGqi7rjZjXWDm5sbjRo1IioqylQWFRVF48aNcXV1pUGDBgQEBKAoSpHtaP1DlxA1ycHGis8eCifDxpMnsiZiQA9HVsP2/2oSj9Z1B5T/e8miRYsYO3ZsoYH1KqWiTXSWqKwmv1mzZqlubm5q48aN1TFjxqiTJ09WO3bsqKqqqsbExKgtW7Y0Lfv111+rzz77rBoTE6MGBQWZyj/44AN19uzZptfjxo1Tf/jhBzUmJkYNDw8305FVzX333af6+vqq1tbWqp+fnzpixAj16NGjxS5b2S6Fx44dUwcPHqw2bNhQtbW1VVu1amVqQq7v9i55SVWnu6gZ0xqq504Vf95rwvLlywt9lo1Go+rr66s2a9ZMnTJlSrXs46mnnlJDQ0PVxMTEYuevXLlSTU1NVY1Go7p//341MDBQfeedd0zzW7RooU6ZMkXNyspSs7Ky1MmTJ6uNGjUqtA3pFiTqg9N/H1HPT29R0L1weoB6/OBOzWKpibqjrLrh9ddfV9u3b6/Gx8er8fHxavv27dWZM2ea5s+aNUsNCwtTz58/r2ZmZqoPP/ywdCkU9dZvxxLUJlN+Uae++qzpdgc1YkmNx1Eb6o6yvpeoqqoeP35cVRRF/fvvv4udX5HrvIrpWt0wdepUpk6dWuL8m38du/7awcGhxHVUVS32V7XaZMWKFeVeduvWrUXKYmNji5SpN/1qGBQUxIYNGyoaWr3Q6eG5RL+9m6CcQ8Ssnggv/wYafGau37h6naIo3H333cyfP7/YX5oq6uzZs8yfPx9bW9tC3QQeeugh0/Nw5s2bxxNPPEF+fj7+/v489dRTvPDCC6Zlf/zxR55//nn8/f0xGo20b9+en376qcqxCWFpmrVqR8K4zZxePJzmxhjs1o5kW+xseg17rMb/zzF33QFl1w2vv/46SUlJpl4To0eP5tVX/x1Cf8qUKSQnJ5t+Se/bty9fffVVtcQmhKXpH+TNG3e14/UfwUdJ5mmrH1F/fg5FNULHx2osDq3rjvJ8L4GCwTJ69uxJq1atqhyPot78DbkOSktLw9XVldTUVFxcXCq0bmxsLM2aNSMiIoL27dszYsQIHnzwQTp16sQ999xjGgEwIiKC8ePH8+eff5KZmUmnTp3YsWMHOTk5hZYT4kZnTx7C53/9sFXyONHzE1r1f1jrkCxWVa7zmtymENUhPTWZuAV3E5QdBcDGBvdy638+pIGzo7aBWSCpO0R98789Z3nth8O8YbWUh602FxT2ngy9p0Ax9zGJ4lXkOpezWg6hoaHMmzePkJAQ3N3dGTFiRJFlOnbsyKhRowgPD6dXr17MnDnTNPhEbW/pEtoJbBnKnz5jAPDYOZ38zKvaBiSEsAhOru60fmEzhwIK6o/BV1eR8F53tvyxWe5PEkKU6qEugXx0f3tm8xif5t9VULjtbdSv74Gr2g/IUxdJC1cZYmNjq9RCFRERwauvvlro6dVC3CglNY1rH3QigASOBoym3WPztQ7JIsmv1KK+OrfzWxpseQkX9Rp5qp4tjkPwuG0qHUOC5Ae/cpC6Q9RXRy6kMvHbg7RPXs8c68XYKXkY9PYovV9C13kc2MlntzTSwlVLHDp0iPvvv58JEyZoHYqoxdxcXTjZcQYAbc5+w4FVbxG59Qe2/7yMyK1rycvL0zZAIUStFtDjAeye3c8Zz35YKwZuy/yFkDW92PbW3Wz99RtSUyv2sHkhRP0Q7O/K+md74tf7MUYY5rLX2Aa9IQvd72+Q/W4b4r5+mowT28CQr3WoFs9iWrjmz5/Pu+++S3x8PO3atePDDz+kZ8+e5VpXfmkStZ3RqLL3/Xvpml60JfS0rgmGe5bRqu0tNR+YBZFfqYWAxMO/kblhOgEZR0xleaqeC9aB5Lo2xdarBS4+TWng1RjF2RecvcHe/Z8lVfLz88jMziErO5usrGyyc7LJys7B3t6BJs1aYmdrq82BmZHUHULA5WvZLNp+hvT9X/OY8Xta6P59tFE2NpyzaU6yfVNy7RuiOjTExt4BWzt77Gztsbe3x97RGQcnVxydG6C3cwJHL7ApeXC5uqAi17lFJFwrV65kzJgxzJ8/n+7du/P555+zaNEijh07RkBAQJnrS8UnLEFObg77v3kDr7gN2Ki5GK3saZh7DmeySFMd2B06m4F3P4pOV9BFKD41iyV/xnLy1Akesd5CF+tT2LboDZ3+A46eGh9NzZMvTUL8Q1VJPrmb+D8W4ZGwAx/1crVsNl/VkWDlx1WXIKz9Q7EPuAWHhoE4u7ph6+AKNk6g01fLvmqS1B1C/Csn38Af0Ze4GPELfhfW0SVvHw2Uyj0oPF1x5Kreg3RrT7LsGqI6emHl7IWNqw/5du7k6WzJxZo8xRpVZ4NHAxd83V1o4OyEYmULVrags0Y15HItM5O8vHzsHJyws7NHr9O+u3SdS7huvfVWOnTowIIFC0xlQUFBDB8+nLlz5xZZPicnh5ycHNPr1NRUAgICiIuLk4pPWJSrl+NI+t9jNM+JBuAcfqTZNCTXqCMnNwcX0mmjxKFX/r2Mc7HmjG0QeYot6k33b3g72+LtbAc9ngG/9jV6LOaWlpZG48aNuXr1apkPVi6J1B2irlFVlQuxp4j9O5LkuOPoU8/ikHMZD67SUEnFkzSsFUOR9YyqQr6iJx89BvTYkIstZXcrysSObJ0DOYo9WTpHshU7FFTsjJnYGTPRq/nkKDbkKnZkqdZYqXnYqlk4koOi05Gub0CG4oCdIQMHQxp5ig3ZVq7k6h2K1Gc3ym0+iI5Dx1fqHEndIUTJUjNyuBh7jIyzkSip59FlXMYqJwU1LwfVkItiyEVvyMVazcZOzcZBycaJLOwU83VDzFP1ZGNNNnbkKjbk6+zI19uRjS1ZRisMBgM6DNjqVGz1KlYYQTVgZczByZhOns6GTL0rWXonFFT0qgG9mldQ26n5BfWOzoHGni642FqXGEcaTjQet7x8dUd5Hh6mpZycHFWv16vff/99ofJnnnlG7dWrV7HrTJ8+XQVkkkmmejjFxcVVur6RukMmmervJHWHTDLJVJmpPHVHrW/hunjxIv7+/vz5559069bNVD5nzhyWLVvG33//XWSdm39punr1KoGBgZw7d67Sv14BdOrUif3791dpuZLm3Vxe3tfX/17/ha6qv6bVlmMs7t+1/RjLU1baMW7ZsqVajq+s2Mu7XGWOsazjra5jLC4OVVW5du0afn5+6Cr5HBGpO2rfdVXaMRT3WuoOqTsqGrfUHRV7bSnXVWnHUNxrqTuk7qho3BWpO6wqvecadvPQtqqqljjcra2tLbbF3Njr6upapZOt1+vLtX5py5U07+by8r6+udzFxaVOHGNJ/4bae4zlKSvPMVb1+MqKvbzLVeYYy3u85noPq/LFBqTuqAvHKHWH1B2ViVvqDqk7pO6QuqMycZe37qj1w8J7enqi1+tJSEgoVH758mW8vb1rNJbyDu9e2nIlzbu5vLyvq3vI+dpyjCX9uzqY6xjLU1bXj7G8x1tVlvaohdpyXd342lI+c8WV17fr6ubXdfEYpe4oXm25rm58bSmfueLK69t1dfPruniMllJ31PouhVAwaEZ4eDjz5//7QNi2bdsybNiwYgfNuFl9GC1IjtHy1fXjA8s7RkuLtzLkGC1fXT8+sLxjtLR4K0OO0fLV9eOD2nOMFtGlcNKkSYwZM4aOHTvStWtXvvjiC86dO8f48eUbkcjW1pbp06cX29xfV8gxWr66fnxgecdoafFWhhyj5avrxweWd4yWFm9lyDFavrp+fFB7jtEiWrig4MHH77zzDvHx8QQHB/PBBx/Qq1cvrcMSQgghhBBCiBJZTMIlhBBCCCGEEJam1g+aIYQQQgghhBCWShIuIYQQQgghhDATSbiEEEIIIYQQwkwk4RJCCCGEEEIIM5GESwghhBBCCCHMRBIuIYQQQgghhDATSbiEEEIIIYQQwkwk4RJCCCGEEEIIM5GESwghhBBCCCHMRBIuIYQQQgghhDATSbiEEEIIIYQQwkwk4aoFYmJi6Nu3L23btiUkJISMjAytQxJCCCGEEEJUA0VVVVXrIOq73r17M2vWLHr27ElycjIuLi5YWVlpHZYQQgghhBCiiuRbvcaOHj2KtbU1PXv2BMDd3V3jiIQQQgghhBDVRboUlmL79u0MHToUPz8/FEXhhx9+KHa5+fPn07RpU+zs7AgPD2fHjh3l3sfJkydxcnLirrvuokOHDsyZM6eaohdCCCGEEEJorV4mXH/++Sd5eXlFyo8fP05CQoLpdUZGBmFhYcybN6/Eba1cuZLnnnuOqVOncvDgQXr27MmQIUM4d+6caZnw8HCCg4OLTBcvXiQvL48dO3bw6aefsnv3bjZv3szmzZur94CFEEIIIYQQmqh393AZjUY6dOhAy5YtWbFiBXq9HoATJ07Qu3dvnn/+eV5++eUi6ymKwtq1axk+fHih8ltvvZUOHTqwYMECU1lQUBDDhw9n7ty5Zcaze/duZs6cyYYNGwB49913AXjppZcqe4hCCCGEEEKIWqLetXDpdDrWrVvHwYMHefjhhzEajZw+fZp+/fpx1113FZtslSQ3N5cDBw4waNCgQuWDBg1i165d5dpGp06duHTpEikpKRiNRrZv305QUFCFjkkIIYQQQghRO9XLQTP8/Pz4/fff6dWrFw8++CC7d++mf//+fPbZZxXaTmJiIgaDAW9v70Ll3t7ehbomlsbKyoo5c+bQq1cvVFVl0KBB3HnnnRWKQwghhBBCCFE71cuECyAgIIDly5fTu3dvmjVrxuLFi1EUpVLbunk9VVUrtK0hQ4YwZMiQSu1bCCGEEEIIUXvVuy6F1126dIknnniCoUOHkpmZyfPPP1/hbXh6eqLX64u0Zl2+fLlIq5cQQgghhBCi/qmXCVdiYiL9+/cnKCiI77//nt9//51Vq1bx4osvVmg7NjY2hIeHFxlVcPPmzXTr1q06QxZCCCGEEEJYoHrXpdBoNHLbbbcRGBjIypUrsbKyIigoiN9++42+ffvi7+9vau1KT0/n1KlTpnVjYmKIiorC3d2dgIAAACZNmsSYMWPo2LEjXbt25YsvvuDcuXOMHz9ek+MTQgghhBBC1B71blh4KGiB6tmzJ3Z2doXKo6Ki8PDwoHHjxgBs3bqVvn37Fll/7NixLF261PR6/vz5vPPOO8THxxMcHMwHH3xAr169zHoMQgghhBBCiNqvXiZcQgghhBBCCFET6uU9XEIIIYQQQghREyThEkIIIYQQQggzkYRLCCGEEEIIIcykXoxSaDQauXjxIs7OzpV+uLEQonZTVZVr167h5+eHTlc9vyVJ3SFE3Sd1hxCiMipSd9SLhOvixYumkQeFEHVbXFwcjRo1qpZtSd0hRP0hdYcQojLKU3fUi4TL2dkZKDghLi4uGkcjhDCHtLQ0GjdubLreq4PUHULUfVJ3CCEqoyJ1R71IuK4357u4uEjFJ0QdV53dd6TuEKL+kLpDCFEZ5ak7LGLQjAULFhAaGmqquLp27cr69eu1DksIIYQQQgghSmURCVejRo146623iIiIICIign79+jFs2DCOHj2qdWhCCCGEEEIIUSKL6FI4dOjQQq9nz57NggUL2LNnD+3atdMoKiGEEEIIIYQonUW0cN3IYDCwYsUKMjIy6Nq1a7HL5OTkkJaWVmiqjKVLl6IoCoqiMGPGjCpELYSwBNVVdwgh6pfK1B0REREMHDgQT09P03eNDz/80PzBCiFqnMUkXIcPH8bJyQlbW1vGjx/P2rVradu2bbHLzp07F1dXV9MkQ7MKIcqjNtYdffr04bnnniv38qqq8sQTT+Du7o6iKERFRWkSx42SkpLw8vIiNja2WmIRojLuuece3n//fbNsu6J1h6qq3HXXXfz2228kJSVVSwx15Toz5/skhFYsJuFq3bo1UVFR7NmzhyeffJKxY8dy7NixYpd95ZVXSE1NNU1xcXE1HK0QwhLVhbpjw4YNLF26lF9++YX4+HiCg4PNsp+KJGBz585l6NChNGnShA0bNph+zS9pqq5BkebOnUunTp1wdnbGy8uL4cOH8/fffxdapqxBmWbMmFEkPh8fn2L398gjjzB8+PBCZatXr8bOzo533nmnXDHX5Pkxl7LO+/bt2xk6dCh+fn4oisIPP/xQZBvXrl3jueeeIzAwEHt7e7p168b+/fuL3V95z/u0adOYPXu2WVquK1p3xMfHEx8fD0CbNm3IzMxEVdVK/6gB1Xudafk5NNf7VJFrWYjqZjEJl42NDS1atKBjx47MnTuXsLAwPvroo2KXtbW1Nf3nWd4hWdeuXcstt9yCnZ0dTZo0YdasWRgMhuo+DFGCS2nZzN96ivu/2E23uVvo/tbvPLJkH99FxJGTL++DqBmVqTtiYmL4v//7P5o1a2Zav1evXnz33Xc1EHFRp0+fxtfXl27duuHj44OVlba36mZlZbF48WIef/xxAHr37m36shkfH4+HhwevvvpqobKBAwdWy763bdvGhAkT2LNnD5s3byY/P59BgwaRkZFhWqY8gzK1a9euUHyHDx8u1/4XLVrE6NGjmTdvHi+//HK51qnJ82MuZZ33jIwMwsLCmDdvXonbePzxx9m8eTNfffUVhw8fZtCgQQwYMIALFy6Uuf+SzntoaChNmjTh66+/rvpB3qQidccjjzyCv7+/6fXx48dxcHBAURS2bt1aqf1X93Wm5eewou9Tnz59WLp0abmWrey1LESVqRaqX79+6tixY8u1bGpqqgqoqampxc5fvXq1qiiKChSa/P39Tf+ePn169QUvTFKzctXpPx5RW766Tu0w+Wv1mVemqB9OfUT9ZOoY9aVXX1A7Tf5K7f/eVvXIhatahypqubKuc3Nsc9++faqzs3ORuuP6NGXKlArtLz09XR0zZozq6Oio+vj4qP/973/V3r17q88++6yqqqpqNBrVt99+W23atKlqZ2enhoaGqt99951p/bFjxxbaf2BgoKqqqrp+/Xq1e/fuqqurq+ru7q7ecccd6qlTp0zrBQYGqh988EGhWMLCwgrVezfGcfN+ADUmJqbYY1qzZo3q6elZ7Lzz58+rgLpu3boKnafKunz5sgqo27ZtK3U5Nzc3ddGiRaqqqur06dPVsLCwcm1/7Nix6rBhw1RVVdW3335btbW1VVevXl3peGv6/JhLaecdUNeuXVuoLDMzU9Xr9eovv/xSqDwsLEydOnVqkW1U5LzPmDFD7dmzZ6Gymq47irt+rk9//PFHpfZnzutMi89hce9TSXr37q0uWbKkzOUqci0LUR4VqTssooXr1VdfZceOHcTGxnL48GGmTp3K1q1bGT16dJW3raoqL7zwAqqqAgVNzqmpqezatYucnJwqb1+UbNfpRAa+v40/d+/kfd2H7LObwEc283nW6nuetvqRd6wXsstuIo8lf8ijn21hz5nq6ecuRHV57LHHuHbtGg0aNOC3334jOzubc+fO0bNnTwDefvttjhw5Uu7tvfTSS/zxxx+sXbuWTZs2sXXrVg4cOGCa/9prr7FkyRIWLFjA0aNHef7553nooYfYtm0bAB999BFvvPEGjRo1Ij4+3tQFKyMjg0mTJrF//362bNmCTqfj7rvvxmg0Vuq4P/roI7p27cq4ceNMvxSXdM/K9u3b6dixY7HzDh48CEB4eHiJ+5ozZw5OTk6lTjt27ChX3KmpqQC4u7sXO7+kQZlOnjyJn58fTZs25f777+fMmTOl7mfKlCm8+eab/PLLL4wcObJcsRWnPOfHXGryvN8sPz8fg8GAnZ1doXJ7e3t27txZ4nrlOe+dO3dm3759mv7/vnTpUmJiYkyve/fujaqqqKpKnz59KrXNql5npdHic2iu96mi17IQ1cUihoW/dOkSY8aMIT4+HldXV0JDQ9mwYUO1NGefOHGCs2fPAtCwYUNef/11dDqd6cvE3Llzq7wPUdSiHWd4d90hntevZpztr+j554ufTyj4h4POCi4exOpCBA9a/U4341HGL3uNT566m5beztoGLwRw6tQpUzJ19epVBgwYUGQZVVXZuHFjue6jSk9PZ/HixSxfvtxUty1btoxGjRoBBUnT+++/z++//25KBpo1a8bOnTv5/PPP6d27N66urjg7O6PX6wvdm3Dzl8/Fixfj5eXFsWPHKnWPl6urKzY2Njg4OJR5D0RsbCx+fn7FzouMjMTf3x8vL68S1x8/fjz33ntvqfu4sXtWSVRVZdKkSfTo0aPIMR8+fJiuXbuSnZ2Nk5NToUGZbr31VpYvX06rVq24dOkSs2bNolu3bhw9ehQPD48i+1m/fj0//vgjW7ZsoV+/fmXGVZrynB9zqYnzXhJnZ2e6du3Km2++SVBQEN7e3nz77bfs3buXli1bFrtOec+7v78/OTk5JCQkEBgYWK54LEFVr7PSaPE5NMf7VNFrWYjqZBEJ1+LFi8227cTERNO//f390en+bfSrS5VxbWE0qsxeF83GP/ex2voDQnSxBTNa3wF9XwGfkMIrxP6Juvb/aJIax5fqdCZ95cTSZ4dhZ62v8diFuNGlS5fKtdyNdUxpTp8+TW5ubqGWFXd3d1q3bg3AsWPHyM7OLvJDU25uLu3bty9z26+//jp79uwhMTHR1LJ17tw5sw2qcV1WVlaRlorrIiMj6dChQ6nru7u7l7tlpDRPP/00hw4dKraF5PqgTFevXmXNmjWMHTuWbdu20bZtW4YMGWJaLiQkhK5du9K8eXOWLVvGpEmTimwrNDSUxMREpk2bZho4orLKc34qwmAwoNeXr+6sifNemq+++orHHnsMf39/9Ho9HTp04MEHHyQyMrLY5ct73u3t7QHIzMys2IHUclW9zkpTnZ/D8n4GS3uf5syZw5w5c0yvs7Ky2LNnD08//bSpbP369aaeBtdV9FoWojpZRJdCc/L09DT9+8KFC4W62Fxv+RLVIzffyLMro9jz5++stZlGiC4W1d4d7v8GHvimaLIF0KQ7yuO/ke/eAj8lmclps1m09UTNBy/ETby9vU3/btOmjalL0M3TjV8MSnO9W3NJrtdNv/76K1FRUabp2LFjrF69utR1hw4dSlJSEgsXLmTv3r3s3bsXKEjWAHQ6XZH95+XllSvusnh6epKSklLsvMjIyDK7KVVH17aJEyfy008/8ccff5haDG9UkUGZHB0dCQkJ4eTJk8XO9/f3Z9u2bcTHx3Pbbbdx7dq1UmMrTWnnZ+HChYSEhBAWFsaUKVOAgi6swcHBhISEmAYciI2NJSwsjHHjxtG+fXtycnJYsmQJnTt3JjQ0lGnTphW7/Zo476Vp3rw527ZtIz09nbi4OPbt20deXh5NmzYtdvnynvfk5GSgoEdLXVLV66w0Ja1vzs9gae/T+PHjC9WBHTt25I033ihSVpayrmUhqpNFtHCZU6tWrQgMDOTs2bNcuXKFN998k+eff55jx46xcOFCrcOrMwxGledWHiT96EZW2nyEk5IN3sEoD64C1zK6pTj7YPXQd+Qu6EP7vFPs3PEuceHzaOzuUDPBC1GMFi1aEBwczJEjRzh+/DgvvvgiL7zwAp6ensTFxbFhwwY+++wzfvrpJ5o0aVKu7VlbW7Nnzx4CAgIASElJ4cSJE/Tu3Zu2bdtia2vLuXPn6N27d7njTEpKIjo6ms8//9z0i+/NrQ0NGzY0DVENkJaWVugek+LY2NiUayTX9u3b87///a/YuOLi4sr85bwqXdtUVWXixImsXbuWrVu3lvhlvbj1Srp3JCcnh+jo6CK/nt8oICCAbdu20bdvXwYNGsTGjRvLNeLljUo7P4cOHeLjjz9m586duLq6kpycTEREBKtWrSIiIoLMzEw6depE3759ATh69ChfffUVCxcu5NixY6xbt47du3ejKArDhg1j9+7dhVpWQZvzXhxHR0ccHR1JSUlh48aNpQ6vX57zfuTIERo1alTox9a6oKrXWUlKWt/cn8HS3qebW1/t7e3x8vKiRYsWFTq28lzLQlSXep9wKYrCf//7X+69915UVWXGjBnMmDEDqHu/gGlFVVWmrj2M1dHv+dJ6PlaKEZr2hvu+AjvX8m3EvRnWd70Pa/7DE8qPzP5lFG88PKTs9YQwoy+//JIBAwaQlpbGe++9x3vvvVfpbTk5OfGf//yHl156CQ8PD7y9vZk6daqpm7OzszMvvvgizz//PEajkR49epCWlsauXbtwcnJi7NixxW7Xzc0NDw8PvvjiC3x9fTl37pzp1+jr+vXrx9KlSxk6dChubm68/vrrZXb7adKkCXv37iU2NhYnJyfc3d0Ldcm+bvDgwbzyyiukpKTg5uZmKr8+GIg5uxROmDCBb775hh9//BFnZ2cSEhKAgnvQrndZevXVVxkyZAiNGzfm2rVrrFixgq1bt7JhwwYAXnzxRYYOHUpAQACXL19m1qxZpKWllXi+r2vUqBFbt24t9OXf1bWc9R2ln5+tW7dy3333mbbn7u7O8uXLGTlyJHZ2dtjZ2dG/f3/2799PWFgYrVq1IjQ0FIAtW7awe/duU4tFeno6p0+fLpJwmfO8p6enc+rUKdPyMTExREVF4e7ubvqxYePGjaiqSuvWrTl16hQvvfQSrVu35tFHHy1132Wd9x07djBo0KBKHVdtVtXrrCQlrW/uz6A53qfKXstCVId636UQCp5qvmbNGkJDQ7GxsaFx48a8/vrrzJ49W+vQLJ6qqry1/jhJB9by/vVkK+ReGL26/MnWP5TgkaT7dcNWySfs5KecTcooeyUhzKhTp04cOnSIp556ihYtWmBra4uTkxMtW7Zk1KhRLF26tMQb2Yvz7rvv0qtXL+666y4GDBhAjx49CnXlefPNN5k2bRpz584lKCiIwYMH8/PPP5fagqDT6VixYgUHDhwgODiY559/nnfffbfQMq+88gq9evXizjvv5Pbbb2f48OE0b9681FhffPFF9Ho9bdu2pWHDhpw7d67Y5UJCQujYsSOrVq0qVH7w4EG8vLzKNfBCZS1YsIDU1FT69OmDr6+vaVq5cqVpmeuDMrVu3Zr+/fuzd+/eQoMynT9/ngceeIDWrVszYsQIbGxs2LNnT7nu8b3eze3q1asMHDiQq1evAgWj1CmKUuq6VT0/qqqa9uHg4FCo/IknnjB1vTp16hQPPfRQpfZRkrLOe0REBO3btzfdezhp0iTat29fqGtZamoqEyZMoE2bNjz88MP06NGDTZs2YW1tXeb+Szrv2dnZrF27lnHjxlXr8dYGlbnOzP05rOxn0FzvU1WuZSGqrNoGo6/FzPGMDVE+n/5xUn3wlblq9jR3VZ3uoqprnlBVg6HyGzwfoarTXVTDNFf1k2/WVF+gwuJp8RwuUT6//vqrGhQUpBqqcu3XIdOnT1d79+5d6fUPHz6sBgcHq1evFjyfMCkpSd2/f78aHh6uZmdnq8nJyWrz5s3VixcvqjExMWp4eHihddu2basmJyerqqqqcXFxamJiYpWOx1LMmzdPHThwYJHyulJ3VPQ6q8rn0JyfwZLeJyFqm4pc5/W+S6Ewn6/3nuW3jT/zP5v3sVXyoc2dMOxTKKbbUbn5h5MUeAceZ3+lWfTnJKXfgYeTbfUFLYSodrfffjsnT57kwoULJT6vqz7ZuHFjiYNylEdwcDDPPvss3bt3x8rKiiFDhjB37lxGjRpFeHg4iqIwc+ZMfH19iY2NLbLu5MmT6dOnD0ajEWdnZ1asWFEvhsW2trbmk08+0ToMs6nodVaVz6E5P4N1/X0S9ZOiqmUMjVUHpKWl4erqSmpqaoVvXBaV8/NfF/ls5Vq+tZ6Fi5IJzfvDA9+CVdWTIzX+EMrnPclXdazqsZ4HB3aphoiFpTPHdS51hxB1n9QdQojKqMh1LvdwiWr3x9+XmbfyV5Zbz8VFyUQN6Ar3/a9aki0AxTeUS24dsFKMqBGLyxxOWwghhBBCCK1IwiWq1f7YZGb9bz3LrGfjoVxD9b0F5cGVYFO9Q7g79ZoAwODsDRw+e7laty2EEEIIIUR1kYRLVJujF1OZsnQjS5Q38VFSUD3boDz0fYVHIywPx9BhpOo98FTSOLLt+2rfvhBCCCGEENVBEi5RLc5cSeeZxb/xmfFNAnRXMLo1RXn4B3A0043YemtSWwwDoGHsTxiN0q1QCKG9u+++Gzc3N+655x6tQxFCWBCpO+o2SbhElcWnZjF+0R98mPcGLXUXMDr5onv4R3DxNet+fXoUPLejhzGCqNNxZt2XEEKUxzPPPMPy5cu1DkMIYWGk7qjbJOESVZKckcvjC7cxO+sNQnSxGO090Y39CdzM/yBBm0YduGzTGHsll3O7vjP7/oQQoix9+/bF2dlZ6zCEEBZG6o66TRIuUWmpWXmMW7yDKalv0kl3AqOtK7qH10LDVjUTgKKQ1rygW6H72Q0yWqEQFmr79u0MHToUPz8/FEXhhx9+KLLM/Pnzadq0KXZ2doSHh7Njx46aD1QIUatI3SEshSRcolJSs/L4z6IdPHtlOj31RzBaOaB7aDX4htZoHI26jQKgo+EvzsRfqdF9CyGqR0ZGBmFhYcybN6/Y+StXruS5555j6tSpHDx4kJ49ezJkyBDOnTtXw5FCeHg4wcHBRaaLFy/WeCxC1HdSdwhLIQmXqLC07DweX7yTpy/PoJf+cEGyNWYNNO5c47HYNQojUd8QByWH0/vW1/j+hahOGzZswN7envz8fFNZdHQ0iqKQmJioYWTmNWTIEGbNmsWIESOKnf/+++/zn//8h8cff5ygoCA+/PBDGjduzIIFC4pdvk+fPkycOJHnnnsONzc3vL29+eKLL8jIyODRRx/F2dmZ5s2bs3590Tpj9erVhISEYG9vj4eHBwMGDCAjI8M0/8CBAxw5cqTI5OfnVz0nQ4hKkLpD6g5Ru0nCJSrkWnYe/1n8J09emkEf/V8YrezRPfQdBHbTJiBF4ZJPHwCsT23UJgYhqklUVBTt2rXDysqqUJm/vz+enp5m2++cOXNwcnIqddKqG05ubi4HDhxg0KBBhcoHDRrErl27Slxv2bJleHp6sm/fPiZOnMiTTz7JqFGj6NatG5GRkQwePJgxY8aQmZlpWic+Pp4HHniAxx57jOjoaLZu3cqIESOku7Ko9aTuKErqDlGbWJW9iBAF0nPyefzLPxmfMIN++iiMejt0o7+DJj00jcslbChc+I6213aRnZuPnY18rIVl+uuvv7jlllsKlR08eJCwsDCz7nf8+PHce++9pS7j7+9v1hhKkpiYiMFgwNvbu1C5t7c3CQkJJa4XFhbGa6+9BsArr7zCW2+9haenJ+PGjQNg2rRpLFiwgEOHDtGlSxeg4EtTfn4+I0aMIDCwYOCfkJCQCsU7ePBgIiMjycjIoFGjRqxdu5ZOnTpVaBtCVJTUHUVJ3SFqE2nhEuWSkZPPuC//5PH4mfTXH8Sot0U3ehU07al1aDRqP4hsbPBWUjh6aL/W4QhRaVFRUUW+IBVXVhkXL15k9OjRxc5zd3enRYsWpU729valbn/GjBkoilLqFBERUen4FUUp9FpV1SJlNwoN/fd+Ur1ej4eHR6EvQNe/hF2+fNlUFhYWRv/+/QkJCWHUqFEsXLiQlJSUCsW5ceNGrly5QmZmJufPn5cvTKJGSN1RMqk7RG0gCZcoU3JGLo998QdPXpzKQH1kQbL14Epo1lvr0ABQrO0551hQGSYd2qRxNEJUTlZWFidPniz0K7XRaCQyMrLcX5oMBkOJ8/z8/Pj666+LnVcd3YKefvppoqOjS52Cg4PLdRw38vT0RK/XF/lF+vLly0V+ub6RtbV1odeKohQqu/6Fy2g0msr0ej2bN29m/fr1tG3blk8++YTWrVsTExNT4biFqClSdxRP6g5Rm0jfK1GqC1ezmLBwMzOuzeAW/WkMVg7oH/gamvfVOrRC8gN7wbEDOF38U+tQhKiU06dPYzAYaN26tals48aNJCUlERYWRmxsLHfddRfBwcGmriyff/45cXFxDBs2jM6dO7N3717279/Phx9+yFdffYWiKEyZMoXRo0cTGxvLPffcU+wvxdXRLcjT09Ms94rY2NgQHh7O5s2bufvuu03lmzdvZtiwYdW+P0VR6N69O927d2fatGkEBgaydu1aJk2aVO37EqI6SN1RPKk7RG0iCZco0YlL13hx0Trez5lBC91FDLYN0I9ZA406ah1aEb63DIZjHxCcd5jU9CxcnUrvwiBEbePh4YGiKOzbt48777yTPXv28PTTT2Nvb0/Lli2Ji4vjyJEjLFmyhA4dOjB8+HDWrFlD586dOXr0KF999RULFy4kIiKCVatWERERQWZmJp06daJv39J/IHF3d8fd3b2GjrSo9PR0Tp06ZXodExNDVFQU7u7uBAQEMGnSJMaMGUPHjh3p2rUrX3zxBefOnWP8+PHVGsfevXvZsmULgwYNwsvLi71793LlyhWCgoKqdT9CVCepO6TuELWfJFyiWH8cv8zn337HQt7BW3cVg5Mf+rE/QMPWZa6rBbcWnUnHERclg/1RO+jUY1DZKwlRi/j6+vLmm2/y8MMP4+TkRJ8+fRg1ahRbtmxBr9cD0KJFC8LDwwG477772LVrF507d6ZVq1am+w527tzJyJEjsbOzw87Ojv79+7N//36z3zxfFREREYW+2F3/RXjs2LEsXbqU++67j6SkJN544w3i4+MJDg5m3bp1ppvTq4uLiwvbt2/nww8/JC0tjcDAQN577z2GDBlSrfsRojpJ3SF1h6j9JOEShaiqyuKdMRzasJilVp9jp+Rh8GxT0LLl2kjr8Eqm03PWpT3t0naSfvwPkIRLWKCpU6cyderUEufffKP39dcODg4lrlPWDeK1QZ8+fcocPvmpp57iqaeeKtf2tm7dWqQsNja2SNnN+wwKCmLDhg3l2ocQtYnUHSWTukPUBjJohjDJyTfwyuq/yNw4k4+t52Gn5GFsORj945trd7L1j7yAXgC4XSr5+RpCWLKTJ08SGRmJqqp89913dOtW9Pl3PXr04PvvvycnJ4eUlBT++OMPGe1KiHpO6g4htCUJlwAgJjGDRz7dQP9Dz/OM1Q8AqN2eQffAt2Dnom1w5eQdVtCq1Tr3GJlZWRpHI0T1Cw0NZd68eYSEhODu7s6IESOKLNOxY0dGjRpFeHg4vXr1YubMmfj6+gJFf+UWQtQPUncIoS3pUij4PvI8P/2wkveVefjqkzHqrNEN/QilffHP3aitfJqHkoYTLko6f/21m7Au/bQOSYhqZWVlxZdfflmorEmTJkVGD5s8eTKTJ08uVJaYmIibm5vZYxRC1D5SdwihLWnhqsfSc/J5cUUEcd+/xpfKm/gqyeS7tUA37newsGQLQNHpiXMseFZHyt/bNY5GiNrj0KFD3H///UyYMEHrUIQQFkTqDiGqh7Rw1VN//H2ZL9ZuYlLmR3SyOgGA8ZaHsLr9HbBx1Di6ysv16wwn9+CQUPmn0gtRGxX3a3R5hYaGFho6WQhRf0jdIYT2JOGqZy6lZTP7x4M0+/sLlup/xlaXR761M1Z3fYgu5B6tw6syl1Y94eTHNMk6gtFgRKeXRlwhhBBCCKEdSbjqCYNR5avdsezatIpX1cU0sboEQH7Tvljd9SG4NdE0vuoSENKd3F/0eCkpnI09TmDztlqHJIQQQggh6jFJuOo4VVX581QSC3/dyaik+Xyh3wsK5Dl4Y33H21i1HQ51aPQhaztHTti0oFXe31w6sk0SLiGEEEIIoSlJuOooVVXZeSqRpRv30inhW+brN+Ooz8GIDm79P6z7vmoxw71XVLJ7e7j0N5zbAzypdThCCCGEEKIek4SrjlFVle0nE/nfxj/pfulrPtX/gZ1VHgB5vuFY3/Uh+IZqG6SZWTfpApdW4HH1sNahCCGEEEKIek4SrjrCaFTZdvIKqzZup9fl//Gpfjs2VgYAcn3Dsek7BeuWA+tU98GS+LXtDnshID+W7Mx07ByctA5JCCGEEELUU5JwWbhTl9NZGxnH8cgd3Jn1A/N0u9BbqQDkNu6OTd/J2DTtVS8Sret8GrcgCVc8lFROH91Dm04DtA5JCCGEEELUU5JwWaCk9Bx+/usiEfv/pHXiZu7R7aap7hLoC+b/P3v3HR5FufZx/Du7m94LgTRCh0AKEIp0UERRUaTYFRsej8BRee0F7IgeO4qKCGIFRawUEalKCyGUEJCSUENLQno2ye7z/hHIIZKE9NnN3p/rmmuzU3+zyT7Ze2fmGXProbgMeQznlr31DaoTzWDgiFskAQUbyPx7A0jBJYQQQgghdCIFl50oLLbwe/IJ/tq4kWYHf+Vqw1/caTha9hu0GF2h41UY+z+IS0hXXbPagsLmXSF1A8bjW/WOIoQQQgghHJgUXDbKalXsO5VLwsFM9v29C/d9PzHM+ifXGFL/V2RpTljaXoZz7FiMHa4EF7lW6RyP1r0g9UOCc3fpHUUIIYQQQjgwKbhsxJn8IrYeOsPWgxkcTN2L9dh2WpccYLAxkZsM+0pnMoAVIwUtB+LRbSzGTldjdPPVNbetCuvSD1ZCuDpG9plTePs20zuSEEIIIYRwQFJw6aDEYmXPiRwSU09xbN92So5uIzDvbzprB7nLcBA/LRc0wKl0foVGdvNL8OpxI4bO1+LhEaBrfnvgG9iCo1pzQtUJjuz4k84DRuodSQghhBBCOCApuBrB6Vwz2/cf4diezRQf3YbXmWQ6qFTGaEdw0UrvkXX+b8KqmSjya49zWCyGsB5okSPw8WqhT3g7dsyjM6G5J8hL2QRScAkhhBBCCB1IwXWeYouV/CIL+UUlpY/m834uquzn0sc8s4WC4hLyCktwN58i1LyXVsUHaGs9QCeVyqWGE//bkHZ2AMxGDwr8I3EN74preDdoEY2hWSdcTS66vAZNibl5N8hdicvJRL2jCCGEEEIIB+VQBVfy29fh7mKkxKqwWhWWc4MqfW5VFS+nAR5nh6q4UEwHw2ECtJzyC58trs6Ygsg7W1z5tonDGByDi28ELgZD3XdOXMCjdU/YDyF50nGGEEIIIYTQh0MVXJEFW/C2VnID4HqseZRmpNCnLcXNumBtHo1LeFfcwrri6xGAb/1tRlxEeOdLsCzXCCSTvNOH8QgM1zuSEEIIIYRwMA5VcP3V6Rn8fNxxNhpwMRlxNhlwMRlwNhrO/lw6zmSopCi7GIMRAtqiBXXGzckNt/qNL2oo0N+f/YYw2qrDHN21ng4DpeASQgghhBCNy6EKrr7X34+3t7feMUQjOuERSdvcw+SmbIaBN+gdRwghhBBCOBi7uHho2rRp9OzZEy8vL4KCghg5ciR79uzRO5awA+agWABcT27XOYkQQgghhHBEdlFwrV69mgkTJrBhwwaWL19OSUkJw4YNIy8vT+9owsZ5tekJQHB+MqhKekURQgghhBCigdjFKYVLly4t93zOnDkEBQWxZcsWBg4ceMH8ZrMZs9lc9jw7O7vBMwrb1DKyFyXLDfiRRUH6IdwCI/SOJGyYtB1CiNqQtkMIURW7OML1T1lZWQD4+/tXOH3atGn4+PiUDeHh0lmCowoK8OOA1hKAo7vW65xG2DppO4QQtSFthxCiKnZXcCmlmDx5Mv379ycqKqrCeZ588kmysrLKhsOHDzdySmFLTnh2AiA/JV7nJMLWSdshhKgNaTuEEFWxi1MKzzdx4kS2b9/OunXrKp3HxcUFFxeXRkwlbJk5KBZyl+J8apveUYSNk7ZDCFEb0nYIIapiV0e4Jk2axE8//cTKlSsJCwvTO46wE56tewAQnCcdZwghhBBCiMZlFwWXUoqJEyfy/fff88cff9C6dWu9Iwk7EtG5F0XKiI/KwXw6Ve84QgghhBDCgdhFwTVhwgS++OILvvrqK7y8vDh+/DjHjx+noKBA72jCDrTw92G/Vto74dFk6ThDCCGEEEI0HrsouGbOnElWVhaDBw8mODi4bJg/f77e0YQd0DSN456RgHScIYQQQgghGpdddJqh5LobUUfFQTGQ+ysuJ6XjDCGEEEII0Xjs4giXEHV1ruOMFvnScYYQQgghhGg8UnAJh9AysgdmZcJL5WE+tV/vOEIIIYQQwkFIwSUcQmiAD3vPdpxxXDrOEEIIIYQQjUQKLuEQNE3juEdpxxl5qdJxhhBCCCGEaBxScAmHUdw8FgCXk9t1TiKEEEIIIRyFFFzCYXi27glAi/zdYLXqnEYIIYQQQjgCKbiEw2jVqTuFygkPlU/Rqb16xxFCCCGEEA5ACi7hMMICvdmjtQLgxO4N+oYRQgghhBAOQQou4TA0TeOER2cA8lI265xGCCGEEEI4gloXXEVFRfWZQ4hGUXSu44xTO3ROIoQQQgghHEGtC67Q0FCefPJJDh06VJ95hGhQnm16ANA8fw9YLTqnEUIIIYQQTV2tC64RI0bw7rvv0rZtW66//npWrFhRn7mEaBCtO3YjX7ngrgooOvm33nGEEEIIIUQTV+uC69NPP+XIkSO8/PLLbNu2jWHDhhEZGcmMGTPIycmpz4xC1JuWgV7sPttxxsnd6/UNI4QQQgghmrw6dZrh5+fHY489xv79+1m0aBHh4eE8+OCDhIaGMnHiRHbv3l1fOYWoF6UdZ0QCkJ8ar3MaIYQQQgjR1NVLL4WapnHttdcyffp0Bg0aRG5uLh988AFdunRh9OjRnDx5sj42I0S9+F/HGdt1TiKEEEIIIZq6OhdcJSUlfP311/Tv358ePXpw4MABpk+fTmpqKm+//TZr167ljjvuqI+sQtQLrza9AGie9zdYSnROI4QQQgghmjJTbRc8evQoH330EbNmzeLEiRMMGDCABQsWcP3112MwlNZxkyZNIjQ0lNtuu63eAgtRV+0ju5K73BVPrRDz8WRcQqP1jiSEEEIIIZqoWhdcrVq1wmQycdNNN/Hggw/StWvXCudr06YNzZs3r+1mhKh3Yf4eJGhtiGMXacnraSUFlxBCCCGEaCC1PqVw6tSpHDp0iDlz5lRabAF07dqVlJSU2m5GiHqnaRrp3p0ByJOOM4QQQgghRAOqdcHVsmXLslMH/ykjI4N58+bVOpQQDS60GwDup6XjDCGEEEII0XBqXXDddddd7N+/v8JpKSkp3HXXXbUOJURDC+zQG4CQwv1gKdY5jRBCCCGEaKpqXXAppSqdVlhYiNForO2qhWhwHSJjyVbuuFBEeqoc5RJCCCGEEA2jRp1mHDp0iNTU1LLnW7dupbCwsNw8BQUFfPzxx7Rs2bJeAgrREDxdndnq1I5uJds5tusvAtrG6R1JCCGEEEI0QTUquObMmcPzzz+PpmlomsYDDzxwwTznjny988479ZNQiAaS5RcNp7ZjObQRmKR3HCGEEEII0QTVqOC64YYbiIqKQinFDTfcwCuvvEL79u3LzePi4kJUVBStWrWqz5xC1Dtjqz5w6kuaZWzVO4oQQgghhGiialRwRUZGEhkZCZQe7brmmmsICAhokGBCNLTQ6EGwGUItRyjKOoGzj9wvTgghhBBC1K9a3/h43Lhx9ZlDiEbXKiycfYTTjsMc3vYHbQferHckIcRFKKU4k1/MsawCTucWkZFnJj23iIy8ItJzi8jML6LIYsViVZRYFBZr6Wnuvu5OBHi6EOjpTJCXC11Cfegc7I2rk3TwJIQQomHVqOB64YUXuPfeewkJCeGFF16ocl5N03j22WfrFE6IhmQwaBzx6kq7nMPk/r0WpOASQncFRRaOZRVw7EwBaWcKOXqmgLSsAtKyzv58ppCCYgsAGlZ8yCNAy8aPHAK0HPy0XJwpxgkLRiyYsAJwBg8ylRcHlBen8CFVtcBoNBIZ7M3A9s24vnsobZt56rnrQgghmqgaFVzPPfccV155JSEhITz33HNVzisFl7ALLS+BpJ/xPrlZ7yRCNHklFisncswcO1NwdigkLav8z5n5pffFc6aY5loGwWTQQsugi5bOZVoGwVoGwc7phBgy8SMb49mCqqYKcCHJGsGO463561gXhq+MpXN4M8b1jeC62FAMBq0+d10IIYQDq1HBZbVaK/xZCHsVHHMpJEG4eR+WwhyMrl56RxLCLlitiqyCYjLzS0/jy8grJjOviIz8otLHvHPji8jML50vq6AYpcCFIpprmWeLqXTaaxkM0NLLiqlgLZNALav6YVx8wCMA3M8OJlcwmEoHowmUgoIzkJ9eOmQfw604jx6Gv+lh+Ju7WEaW8mBpWk/mLriUj9d054nhnRjUoVmDvX5CCCEcR62v4RKiKWjXPpJjKpAQ7TQp21fTutc1ekcSNmh50nHcPfP0jtFoFJBfZKmygDqTX0Tp5VEKb/Lx1XLxo/SUPl9y8dNyCNNy8SMXfy0HX3Lwc8qlhZZJgJZdvSAmV/AOAe/Qs0NI6eATBl7B4Nn8bIHlXLMdtFogfT+kJcKRzZD8Mz45adxoWsWNplX8frobr80Zy/exfXlpZBRerk41W78QQghxnloXXIWFhRQVFeHt7V02bsGCBSQkJDB06FCGDh1aLwGFaEhGg8ZBjxhC8v8gM3mNFFyiQh99+yNOLm56x2g0Ggp3zKXF09lCqrWWgx+5Z8eVFk++Z4srk1aLMx5MbmeLp/OLqfN+9gkDNz/QGuDUPoMRmnUoHWJugCtfhYN/wdYvUDsWMNS4laHGrXy283JGH7qXN27pQ3SYT/3nEEII4RBqXXDdfvvteHh4MHfuXADeffddHnroIQBef/11fv75Z6666qr6yChEgyoKvQT2/oFH2ga9owgb9Z3Li3i7yDU9VXLyAHf/0iLJ3R/c/Ct+9GpRWlQ1VDFVGwYjtB4ArQegDXwUVk2Dnd8xzrScfrlJPP7RJB66YywD2ssphkIIIWqu1gXXpk2bmD59etnzd999l9tuu40ZM2Zwzz338N///lcKLmEXAmMug72v0LowCas5D4OLh96RhK3xCgZXB+s+3MmtgqKpimLKyVXvxPUjsB2MmQ1db8G66N+0yzvGF2oqD3+WTt5N93JlVLDeCYUQQtiZWhdcp06dIjQ0FICUlBQOHDjA119/jbe3N/fccw933HFHvYUUoiF1iOxGmgogWEsnNfEPWvUeoXckYWsmbobzTp8WDqDdZRgmbMC6cDxu+3/nfeMbPPvNGVxuf5whHYP0TieEEMKOGGq7oLu7O1lZpb1IrV27Fk9PT3r06AGAq6srubm59ZNQiAbmZDKy36v0b/fMzt90TiOEsBnu/hhumY+1620YNcUrpk/4/cs3SDpWgx4UhRBCOLxaF1zR0dG8//777Nixgw8++IAhQ4agnT0f/9ChQ7Ro0aLeQgrR0CytBgHgc/wvnZMIIWyK0YThuhlYek8A4HntYz799ANO5Zh1DiaEEMJe1LrgevbZZ1m9ejVdu3Zl27ZtPPbYY2XTfv31V7p3714vAYVoDC17lF5v2Lp4HwVnTuqcRghhUzQN45UvUxR1MybNysvFb/D2FwuxlvaLL4QQQlSp1gXXpZdeSnJyMt9++y1JSUn069ev3LRHH320XgIK0RhaRbRinxYBQMrmxTqnEULYHE3D+foZ5IUPxlUr5r60qXy6IlHvVEIIIexArQsugIiICEaNGkWbNm3Kjf/Xv/5F79696xRMiMakaRrH/Ev/Zs1//6FzGiGETTKa8Lh5DrluoUQYTtJy7SMky/VcQgghLqLWvRSec/LkSQ4ePEhBQcEF0wYOHFjX1QvRaFw6XArrF9AiXe7HJYSohLs/Hrd9SfGsyxlmiOedr96kw+TnMBps5J5iQgghbE6tC660tDRuv/12Vq5cecE0pRSapmGxWOoUTojG1L7XFRT/ZSTYeoL0g7sIiOisdyQhhA3SQrtROOAJnNa+yF05HzF/xZXccnkfvWMJIYSwUbUuuCZOnMjWrVuZPn06MTExuLi41GcuIRqdv58/2527EFO8nUObfpSCSwhRKa8hD3N6x48EntlOyLqnOHXJUpp5yf9BIYQQF6p1wbV69Wr++9//ctddd9VnHiF0lRk6BFK345KyAnhS7zhCCFtlMOJ/8yyKZ/ZjsJbAZws/Zdyd/9Y7lRBCCBtU604zNE0jPDy8PrMIobtm3UcA0DY/keKCHJ3TCCFsmaF5J05H3QPA4JQ32X1YbikhhBDiQrUuuMaOHcsvv/xSn1mE0F3HLnEcpRkuFHNg8xK94wghbFzwiGc5YwwkQjtJ0qLX9Y4jhBDCBtX6lMIbbriB8ePHY7VaGTFiBAEBARfMU183P16zZg2vv/46W7ZsIS0tjUWLFjFy5Mh6WbcQ5zMaDRzw7UfomR/IS1oKA2/QO5IQwpa5eGEe+CSs/D+GpH/F7tSH6NQqVO9UQjg8q1WRX2wh31xCfpGFvKKzj+YSCoos5BVZyD87Lt9cQl6RBYtVYVXnhtJO4KxWcHEy4O5swsPZiLuLCU8XI0HeroT7uRHq646bs1Hv3RU2rtYF16WXXgrAjBkzeP/998tNq+9eCvPy8oiNjeWuu+5i9OjR9bJOISrj1OkK2PADoSfXglKgSXfPQojKNe9/JyfWvU3z4sOs+/F1Oj34tt6RhLBZSinMJVYKiy0UFlspKLac/bn0eWGJBfMF087OX2LBfPbngmILBUWW/xVTZgv5xaWPeUUlFBZbG22fAjyc6RziTddwX7q19KV7Sz983Z0bbfvC9tW64JozZ0595qjS8OHDGT58eKNtTzi2DpdchXm9E805yamUbTRr01XvSEIIW2Y0YR30BPw+gcEZ37D7wMN0ahOhdyphA276eANObh56x9BHJYWVuaTxCiEAgwbuzibcnY14uJQ+lg4mPFyMuDmdfXQ24mw0oGkaGmDQNAxa6XeuRSXWsiNiuWYLuYXFpGUVcjSzgBxzCel5Razde5q1e0+XbfOSNgEMjw7myi4tpAdTUfuCa9y4cfWZo16ZzWbMZnPZ8+zsbB3TCHvj7+tLgksM3Yu2cGTTT1JwORBpO0RtBfe9hSNr3iCs6AB//vQqnR6aqXck0Ygqazt2Hs3C4FKsVyybZzRouDkZcXUy4GIqfXR1MuLqZPzfeCcjrudNOzfe1am0SPJwNpUVUO4u5z8vLbBcTKVFVEPJKijmUHo+24+eYeuhMyQcyuTAqTz+2p/OX/vTef6nJEbEhjB+QBs6h3g3WA5h22pdcJ1vz549nD59mq5du+Lhof83OdOmTeP555/XO4awY9lhQ+DAFtxSVwBT9I4jGom0HaLWDAa0S5+BpXczKHMhew88Qvs2bfVOJRpJZW3Hezd3w8PTS4dEtsHlXAFlMuLmfK6o+l/B5GSsdd9tNsPHzYnoMB+iw3y4tXfpke1D6fks2ZnG4h1pbDuSxaKtR1m09SiXdQri6asjadPMU+fUorFpSilV24XnzZvHU089RVpaGgCbN2+me/fu3HDDDVx++eWMHz++3oKeo2naRTvNqOibpvDwcLKysvD2lm8XxMXtSdpGx28HUqyMqMcO4Ozhq3ckcRHZ2dn4+PjU6X0ubYeoE6VIffUSWpl383vg7QydOEPvRKIapO0QDWn7kTN8vOYAi3ekYVXgZNS4p38bHhraHlcn6WzDntWk7aj1Vwvffvstd955J927d2fGjBmcX7d1796dBQsW1HbVdebi4oK3t3e5QYiaaB8Zw0FCcNIsHNj4q95xRCORtkPUiaZh7fcQAD1Ofc/pjAx984hGI22HqExMmC8zbunO75MHMbhjM4otig9X7+e6GX+y94Tc79NR1LrgmjZtGnfddRc//fQT9913X7lpkZGR7Nq1q87hhNCLwaCR6t8PgMJdcj8uIUT1tOl/A2mGYHy1PHb88oHecYQQ9UEpsBSXPtZSm2aezLmzJx/fHkegpzN7TuQwYsY6fkw8Wo9Bha2q9TVcycnJTJ8+vcJp/v7+pKen1zrUP+Xm5rJv376y5ykpKSQmJuLv70/Lli3rbTtCnM8l8gr481vC0/+U7uGFENVjMHIq+l6Ct71I+wOfYS56DBdn6R5aiBqxWqDEDBYzlBT949EMlqJ/PNZlvqrmP+8RBZoBnD3B2QOc3EsfnT3Bsxn4RoBfBPi2Kn30aw3G8h+zNU1jWJcWdG3py/8t2Mbavad58JtEjp0p5P5BbRq0cw+hr1oXXO7u7mRlZVU47ejRo/j5+dU61D/Fx8czZMiQsueTJ08GSntKnDt3br1tR4jzRfYeTv46FwLI4PjeLbTo0EPvSEIIOxA5/H7ObHubME7y19LP6XvtPXpHEnqZfwe4O+mdwjYoVf2CR9XPfVzrnbKCObt0uBgnDwjvCS37lA7hvcDJDYAgL1c+u6sXryxO5pN1KUxfupv0XDNPXx0pRVcTVeuCq1+/fsyYMaPCGxHPnTuXwYMH1yVXOYMHD6YOfXsIUSs+3p5scY0lzryJo/E/S8ElhKgWJ1dP9kXcRI+Ds/Df9hFqxN3yIcpRHfgDXOR3X2dGZzC6gOnsYHT+x6MLmJwreazu/BeZz+hUWhAW5UFR7tnHsz9np8GZg5B58H+PxXlwYFXpAKVHwiKvhdgbodUADAYjz1zTmRBfN174ZRefrEvByWTgsSs6SnvRBNW64JoyZQr9+/enV69e3HLLLWiaxvfff8/UqVNZs2YNmzZtqs+cQugiL3ww7NuE+6FVekcRQtiRDtc8TNGMOXSy7CE5YQ2RcYP0jiT0cNUb4OmmdwrbYXSuXfFjbwWI1QqnkuHQeji4Hg7+BTnHYNtXpYN3KPSZAD3u5u7+rXEyGXj2h53MXLUfb1cn/j1YbinR1NSpW/iVK1fywAMPsGfPnrJx7du356OPPqrXI1x1VR9dvgrHtDd5G+3nD6RIGbE+egBXT1+9I4lKNMT7XNoOURdb3hpDXNZyNvpeRe+HvtY7jqiEtB2iwSkFhzfCtm8g6XsoPHtJjmcL6P8w9LiLT9Yf5aVfkwH44NbuXBUdrGNgUR2N0i08wJAhQ0hOTmbv3r2sW7eO3bt3s2fPHpsqtoSoi3adYjhMC5w1C/s2SW+FQojq8+x/PwCxmcvJyjilcxohhG40DVpeAiPehv/7G0a8Cz7hkHsclj4OHw3i3jaZ3Nm3FQAPz09k59GK+0kQ9qlWBdepU6d46aWXGDZsGFFRUVx33XU899xzLFy4sF57JxRCb5qmcdi/LwAFyct0TiOEsCcd4i5lv6E1rloxu5fM1DuOEMIWOLlC3DiYlADXvAXugaWnH34ylCmuC7isgy/mEisTvkogu7BY77SintS44FqxYgXt27dnypQprFy5kvT0dE6fPs3KlSt5+umn6dChA2vWrGmIrELowqXT5QCEnf6zTvfgEEI4Fs1g4FSn2wAI3f81ymqjPa8JIRqfyRl63A0TNkHUGFBWDH+9zUfWF+niU8TB9HyeWLhdOo1rImpUcJ06dYobb7wRHx8fFixYQFZWFmlpaRw/fpysrCy++eYbPDw8GDNmjBzpEk1Gh0uGU6RMBKuTHNm3Q+84Qgg70uXKe8hRboRZj7Fn/S96xxFC2BqPABgzG278Aly8MR1ZzyKnZ4gyHmLxjuP8vD1N74SiHtSo4Jo9ezYWi4U///yTMWPG4O7uXjbN3d2dG264gXXr1lFcXMzs2bPrPawQevDy9mOPSxQAR+N/1jmNEMKeeHn7sT3wKgCK1n+scxohhM2KHAH3/g7+bXDOPcJ3ri8To+1n6o87OZVj1judqKMaFVy//fYbd999N2FhYZXO07JlS+666y6WLl1a53BC2Irc8MEAuB5cqW8QIYTdCRz8bwC65PzJmbQUndMIIWxWs44w/g8IvwRXSw5fu0yjdUESz/ywQ04ttHM1KriSk5Pp37//RecbMGAAycnJtQ4lhK0JjrsGgA4F2yjIy9U5jRDCnnSM7sk2UwxGTZGydIbecYQQtszND25bCBH98CCfec7TObRrE7/IqYV2rUYF15kzZwgKCrrofEFBQZw5c6a2mYSwORGd4jhJAG5aEXs2SW+FQoiayY66A4CWhxaiSop0TiOEsGkunnDrdxDRH0+tgDnOr/Hhj6vIKpBeC+1VjQous9mMk5PTReczmUwUFck/FNF0aAYDh/z7AJC/S06XFULUTLdht3FK+RKgMvl7zXy94wghbJ2zO9z0JdZmnWihZfJmyct8+Fui3qlELZlqusCePXswmapebPfu3bUOJIStcuo4DNb/QsjpP1FKoWma3pGEEHbC092Nzc2vZcjJeaj4T+HS2/WOJISwdW6+GG5biPnDS+lYcITYLU+x75KFtGvurXcyUUM1LrjuvPPOi84jH0ZFU9Tukmso+eshWnGU1P27adUuUu9IQgg7EnLZv7F89Tmd8hPIPLQLv5ad9Y4khLB1PmG43PoVxZ9cyZWGTcz/+jnaPviGfM62MzUquObMmdNQOYSweR4+Aexx6UzHop0c2fyzFFxCiBrp2LEzm5x70qt4E4eWv4/fPe/rHUkIYQ/CepA1+CUCVz3O6Mw5bF53Jb0GDNM7laiBGhVc48aNa6gcuktPTycyMpJNmzbRqlUrvePU2pgxY+jbty+TJ0/WO0qTlBM+CPbvxPXgH8BjescRQtiZgthxEL+J1od/wGp+HYOL+8UXEkI4vMBB/2LXjt/pnL6c4JUPYem1GaOLh96xRDXVqNOMpmzatGmMGDGCVq1asXTpUjRNq3JYsmRJpeuq6/J1MWXKFF5++WWys7Prdb1r1qxhxIgRhISEoGkaP/zwwwXzPPfccxfsZ4sWLeo1h96ax40AoFPBVvLy83VOI4SwNz0uG8tR1Qxvctm3+gu94wgh7IWmEXbbB5zEj3DrUVK+fkTvRKIGpOACCgoKmD17Nvfeey8AgwYNIi0trWwICAjgqaeeKjfu8ssvr3R9dV2+LmJiYmjVqhVffvllva43Ly+P2NhYZsyo+h4yXbp0KbefO3bsqNccegvr1IsMfPDUCtm1cbnecYQQdsbDzYWkkFEAmBLkNH0hRPV5+wWxOfYlANqlfkXR37/rnEhUlxRcwJIlSzCZTPTpU9rtt5ubGy1atKBFixZYLBbS09Pp379/2bgWLVpU2VNjXZevq2uvvZavv/66Xtc5fPhwXnrpJUaNGlXlfCaTqdx+NmvWrF5z6E0zGDnkJ93DCyFqL+Kyf1GsjLQp3EXmgXi94wgh7Mhl19zMt4YrAShe+G8oyNQ5kagOKbgoPV2uR48eFU7bunUrAHFxcbVad12Xr41evXqxadMmzGZzo23znL179xISEkLr1q256aabOHDgQKNnaGhOnUovVD3XPbwQQtREx3Zt2ejaF4Bjyz/QOY0Qwp64OhlRl7/AfmswHuaTFP/2nN6RRDVIwQWkpqYSEhJS4bSEhARCQ0MJCgqq1brrunxthIaGYjabOX78eKNtE6B3797MmzePZcuWMWvWLI4fP07fvn1JT09v1BwNre0lI7AqjfbqIPsP7NM7jhDCDhV3uwuA1mm/Yi2o32tuhRBN26he7XnHYxIATlvnwuFN+gYSFyUFF6XXcLm6ulY4LSEhge7du9d63XVd/nwWi6Va87m5uQGQX0GnDhV1bPHPIT6+dqe4DB8+nNGjRxMdHc3QoUP59ddfAfjss89qtT5b5eoTRIpLRwAOb/5J5zRCCHvUe8i1HFChuFPI/t9n6R1HCGFHTEYDw4Zfz4KSQQCU/PQQWEr0DSWqJAUXEBgYSGZmxefAJiQk1Ol0wMqWnzVrFtHR0cTGxvLEE08AMH36dKKiooiOji7r9CI1NZXY2FjGjx9Pt27dMJvNzJkzh169ehETE8OUKVMuWHdGRgZAhddPTZw4keTk5CqHqKioWu/v+Tw8PIiOjmbv3r31sj5bkhM2GADX1JX6BhFC2CV3Fyd2tbwZAJ9ts8BavS/UhBAC4KqoYBYF3kem8sR0Kgk2fqh3JFGFhuu5wY5069aNL764sHve9PR0Dh8+XOsjVJUtv337dt59913WrVuHj48PGRkZxMfHs2DBAuLj48nPz6dnz54MGTIEgKSkJD7//HNmzZrFrl27WLx4MevXr0fTNK677jrWr19f1uEHwM6dOwkLCyMwMPCCTIGBgRWObwhms5nk5GQGDBjQKNtrTC3iroEDH9K5IIHsvHy8PeReOkKImom9+t9kzPyQoJI0jm34lpC+N+kdSQhhJwwGjfuu7MW0z2/mNadZWFe+jKHL9eATqnc0UQE5wgVcccUVJCUlXXCUa8uWLQC1LrgqW37VqlXceOON+Pj4AODv78+6desYPXo0rq6u+Pv7c9lll7F582YAOnToQExMDAArVqxg/fr1xMXF0b17d5KTk9m/f3+59a9du5Zhw+r3DuS5ubkkJiaSmJgIQEpKComJiRw6dKhsnkceeYTVq1eTkpLCxo0bGTNmDNnZ2U3yhtktIvuSqfngo+Wxe/1iveMIIexQeItA1vuPBKB43Xv6hhFC2J3BHZuxP+Q6Nls7YCjOh9+e0TuSqIQUXEB0dDQ9evRgwYIF5cZv3bqVoKAgQkMv/LZg7ty5aJpW5XqrWv5ilFJl63d3dy83/r777isrfvbt28dtt91WNr2wsJBFixYxfvz4Gm+zKvHx8XTr1o1u3boBMHnyZLp161bulMYjR45w880307FjR0aNGoWzszMbNmwgIiKiXrPYBIOR/QGlRyBV0g/6ZhFC2K3Qy/+DWZmIyN9J5p51escRQtgRTdP4vysjmVJ8FxalQdL3kLJG71iiAlJwnfXss8/yzjvvYLVay8Y9/vjjnDhxosL5U1NTGTRoUJXrrGz5Sy+9lPnz55OVlQWUXnPVv39/vv/+e8xmM5mZmaxcuZKePXtWuuy5o3FHjhwp1wvg7Nmz6d27N5dccsnFd7oGBg8ejFLqgmHu3Lll83zzzTccO3aMoqIijh49ysKFC+ncuXO95rAlLjHXA9AhczXKUqxzGiGEPYqN7MBat9Ivb07/9l+d0wgh7E3ftoH4t+3OF5ahpSMWPwbymcTmSMF11lVXXcW//vUvjh49Wq35ly1bxmuvvVarbUVFRfHggw/Sr18/unbtyuuvv06PHj0YO3YscXFxDBw4kOeff57g4OAKl3388ccZPHgw0dHR3HDDDeTl5ZVNd3Jy4r335NSUxtDhkuFkKi/8yGbf5mV6xxFC2CFN0zD1L+3euX36SvIObdM5kRDC3vzfsI68WTKWdOUFp5Jhk/R8ams05QB3bs3OzsbHx4esrCy8vb31jiOakPVv3UKfrF+J9x9Bj/9c2PGKaDwN8T6XtkM0hhKLlXXTrmFwyZ/sDxhC20k/6B3JoUjbIZqCe+ZuJnDvfKY7zQIXb5gYD17N9Y7VpNXkfS5HuISoA4+etwIQmbGcwtwz+oYRQtglk9GAdeDjWJVG2/SV5KTU7l6IQgjHNXlYBxZYBpFobQPmbPj9Ob0jifNIwSVEHXTpM5yDWigeFLLn97l6xxFC2KnB/Qey0nkgACd/mqpzGiGEvekS4sNVMaFMLb6zdMS2r+DQRl0zif+Rgks0Cddffz1+fn6MGTOmUbdrNBpIiSjdptfOz1DndboihBDVZTBomIY8gUVptM1cx5nkVXpHEkLYmYeHdmAH7ZhfMrh0xOJH5KbqNkIKLtEk/Oc//2HevHm6bLvL8PvJVy60KTnAnnXf65JBCGH/BlzSh2WuVwJQ8MPDYCnROZEQwp60C/Lk+m5hvFZyI3maBxzfDlvm6h1LIAWXaCKGDBmCl5eXLttu1jyE+KBRADitfRUl3yYJIWrBYNAIGfUKmcqTYPMBDv32rt6RhBB25qGh7ckx+vFa0dkzfv54EfIz9A0lpOByZGvWrGHEiBGEhISgaRo//PDDBfN88MEHtG7dGldXV+Li4li7dm3jB7UDba97ijzlQtvivWz7ST4kCSFqp2vHNvwR+i8AAja+TsmZYzonEkLYk3B/d+4Z0JovLEPZr0VAQWZp0SV0JQWXA8vLyyM2NpYZM2ZUOH3+/Pk89NBDPP3002zdupUBAwYwfPhwDh061MhJIS4ujqioqAuGY8ds48NIaFhLEtpOAKBt4nTS9u/QOVHNFBcX4+rqSvPmzbFY/neEbvHixQQFBdVp3WazmfHjx9O6dWu8vLzo1KkTn376abl5PD09yw1OTk7ExMSUyzdx4kT8/f3x9/dn0qRJlJTI6VaiaRp80yPspC0e5HP0s3vAhu/e0pBtB8Cdd96Js7NzufZh/fr1ZdMnTZpEeHg43t7ehIaG8tBDD1FUVFTt5YVoiiYMaUeAlztPFt5ROiJ+Dhzbqm+of9C77ahO2/DTTz/RtWtXPDw8CAkJ4cMPP6x1Him4gKVLl+Lm5lbuA1xycjKapnH69GkdkzWs4cOH89JLLzFq1KgKp7/55pvcc8893HvvvURGRvL2228THh7OzJkzK5x/8ODBTJo0iYceegg/Pz+aN2/Oxx9/TF5eHnfddRdeXl60bduWJUuWXLDsd999R3R0NG5ubgQEBDB06NByN3TesmULO3fuvGAICQmpnxejHvS66UmSTF3wooCiL28mO+OE3pGqLSkpCavVioeHR7mjmAkJCcTFxdVp3SUlJQQHB/P777+TnZ3N3Llz+b//+z9+++23snlyc3PLDZGRkdx0001l01966SXWrVtHUlISSUlJrF27lldeeaVOuYSwVQHe7qQNeZNC5URE5l8cWma7R80bsu0454EHHijXPvTp06fctN27d5OdnU1iYiLbtm3jtddeq/byQjRFni4mHr+yE5tUJL+qfoCCnx8ES7He0cro3XZcbPrSpUt54IEHePvtt8nOziYpKYnBgwfXOosUXEBiYiJdunTBZDKVGxcaGkpgYGCDbfeVV1654Jv9fw56ncJXVFTEli1bGDZsWLnxw4YN46+//qp0uc8++4zAwEA2bdrEpEmT+Pe//83YsWPp27cvCQkJXHHFFdx+++3k5+eXLZOWlsbNN9/M3XffTXJyMqtWrWLUqFHY2z25XZydCbz7a07gT4T1MKfeH052xkm9Y1VLQkICnTt35sYbb+S7774rG79ly5Y6N3weHh688MILtG3bFk3TuOSSSxgyZAjr1q2rcP5Nmzaxa9cu7rzzzrJxn376Kc888wzBwcEEBwfz9NNPM3v27DrlEsKWDR04iF+a3w9A8w0vkZOSoHOiijVk21EdkZGReHh4lD03GAzs3bu3wbcrhK27vlsoXcN9ec58C3kGL0jbBn++rXesMnq3HRfz7LPPMmXKFAYPHozRaMTPz49OnTrVen1ScAHbtm2ja9eu5cZt3bqV2NjYBt3u/fffT2JiYpVDjx49GjRDZU6fPo3FYqF58/J3KW/evDnHjx+vdLnY2FieeeYZ2rdvz5NPPombmxuBgYGMHz+e9u3bM2XKFNLT09m+fXvZMmlpaZSUlDBq1ChatWpFdHQ0DzzwAJ6entXOe8UVVzB27FgWL15MWFgYmzdvrvlO14PmIRHkjl1ABt60tezn9PuXc/LIfl2y1ERCQgLdu3dn9OjRLFq0qKzY3bJlC927dy837wMPPICvr2+lQ2WF1DmFhYVs2rSp3CmD55s9ezbDhw8vO3qZmZnJkSNHyr1Hu3btyqFDh8jKyqrDXgthuzRNY9hdz7Le0B0Xiij84kaKs23vqHljtB3z5s3D39+fLl268MYbb2D9x+03Xn31Vby8vAgKCmLbtm1MmjSpRssL0RQZDBqvjo7mjNGfpwtvLx25ajqcSNI32Fm20HZUNj0vL48tW7aQnZ1Np06daNGiBTfeeGOVn38vSjmArKwsBaisrKwKp3fq1Em9++675cZdfvnl6sknn6zzto8ePapuueWWOq+nMlOnTlVAlcPmzZsvuh5ALVq0qFxuQP3111/l5nvppZdUx44dK1zHoEGD1AMPPFBuXMuWLdVrr71W9txqtSpA/fjjj2XjSkpK1GWXXaa8vLzUmDFj1Mcff6wyMjKqs/s2a9/OTerU1JZKTfVWp6a2VH9vXq53pCr16dNHvffee0oppSIiItS6devUqVOnFKBSU1PrbTtWq1XdeuutavDgwcpisVwwPS8vT3l7e6sffvihbNyhQ4cUoE6dOlU27uTJkwpQhw8fLht3sfd5bTTEOoWoieQDB1XKlI5KTfVWB6b3U1Zzrt6RymnotmPLli3q5MmTqqSkRK1fv16Fh4erN998s8J5d+3apZ5++uly7UJ1lpe2QzRl7634W0U8/rP6Y+qlSk31Vur9PkoV5esdS/e2o6rphw8fVoCKiYlRqampKicnR916661q6NCh5bZRk/e5wx/hKigoYO/eveW+PbdarSQkJFT7CNf5F/v9U0hICF9++WWF0+rjlMKJEyeSnJxc5RAVFVWt/ThfYGAgRqPxgmr+5MmTFxz1Op+Tk1O555qmlRunaRpAuW8ZjEYjy5cvZ8mSJXTu3Jn33nuPjh07kpKSUuPctqJtl54U3fkbKYYIAjlD+19Gs+31q9n4+bNs+vFDdvy1FHORWe+YQOnf77Zt28q+URo1ahQLFy5ky5YtBAQEEBERUS/bUUrx73//mz179vDDDz9gMFzY/CxYsAB3d3euvvrqsnHnjnSefzTr3M963QpAiMbSqXVL0q76lGzlTuv8Hex7bySquFDvWEDjtB3du3enWbNmGI1GLrnkEp544gnmz59f4byRkZHExsaWOx25JssL0RTdP6gt0aG+PFZ4N2cMfnAyCZY8rmsmW2g7qpp+7nPHf/7zHyIiIvD09OT5559nxYoV5foXqAmHL7j279+PxWKhY8eOZeOWLVtGeno6sbGxpKamEhMTwy233EJUVBT33nsvFouF1NRUYmNjGT9+PN26dcNsNjN9+nSioqKIjo4uK7JSU1MrPS2wPk4pDAwMpFOnTlUOrq6uNX5dnJ2diYuLY/ny5eXGL1++nL59+9Z4fRejaRr9+vXj+eefZ+vWrTg7O7No0aJ6305jCmnVEf9Jq9jofQUAsXnr6L3/XXptfZzo324k/ZUuJK79ReeUsHv3bgoLC8u+YBg9ejQLFy4kPj7+gsP6UPp3W9MvCZRSTJgwgU2bNvHbb7/h4+NTYZZPPvmEcePGlbue0s/Pj7CwMBITE8vGJSYmEh4eXul6hGhK+vTuy5b+H5GvXGifs4nd743GWqR/0dUYbcc/VfRFzfmKi4urvIbrYssL0dSYjAbeujGWfOcAHij8NwoNEj6DxK90y2SLbcf50319fWnZsmXZQYLzqdr2L1DnY3Z2oKpDfseOHVOapqmff/5ZKaXU+vXrVZs2bZSbm5sqKSlRKSkpStM0FR8fr6xWq7r22mvV/PnzVUpKijIajWrbtm1KKaU2b96sunfvrgoKClR6erpq06aNOnr0qEpJSVFxcXGNur/VlZOTo7Zu3aq2bt2qAPXmm2+qrVu3qoMHDyqllPrmm2+Uk5OTmj17ttq1a5d66KGHlIeHR6WHegcNGqQefPDBcuMiIiLUW2+9VW4c/zh9ccOGDerll19WmzdvVgcPHlQLFixQzs7OavHixfW5u7rak/iXWvfxZLXpjdFq5ysDVObUEKWmeivzFH+1/U9993PevHkqMjKy7LnValXBwcGqTZs26oknnqiXbTzwwAMqJiZGnT59utJ5du/erTRNU3v27Llg2rPPPqu6deum0tLSVFpamurWrZt6/vnny80jpwWJpm71km9V4ZQApaZ6q13TBqm87HRd8zRG2zF//nyVlZWlrFar2rx5s4qIiCg7TT0nJ0d9+umnKjMzU1mtVrV9+3YVGRmpxo8fX63lz5G2QziCJTuOqYjHf1FvPX1n6amFzwcolbJWlyx6tx3Vmf7SSy+p2NhYdeTIEZWfn6/uuOOOOp1S6PAFl1KlL6qfn58KDw9Xt99+u3r88cdVjx49lFJKpaSkqPbt25fN++WXX6oHH3xQpaSklPtjeeutt9TLL79c9nz8+PHqhx9+sOmCa+XKlRVe8zVu3Liyed5//30VERGhnJ2dVffu3dXq1asrXV9tC65du3apK664QjVr1ky5uLioDh06lJ3X21QV5GWrxNeuVGqqtzo9taU6k35CtywPPfSQuvXWW8uNe+CBBxSgFixYUOf1p6amKkC5uLgoDw+PsuFf//pXufkeffRRNXDgwArXUVRUpB544AHl6+urfH191YQJE1RxcXG5eeRDk3AEf/32rcqZEqTUVG+1/4VYlXb4gG5ZGrrtUEqpAQMGKB8fH+Xh4aE6dOigpk+fXnb9Z25urho6dKjy9/dXHh4eqnXr1uqRRx5ReXl51Vr+HGk7hKN4felu1erxn9Qvz1xeWnRNa6lU2vZGz6F321Gd6SUlJWry5MkqICBABQQEqDFjxqi0tLRy26jJ+1xTys763q6F7OxsfHx8yMrKwtvbu0bLpqamcsUVV7Bnzx4AvvrqKzZv3syDDz7ImDFjiI+PB+Dtt98mPz+fp556CoDx48czYsQIYmJiys0nxDmF+Tmc/G9vWlqPst5vBH0e/ELvSHatLu/zxlynEHW1a8tamv98KwFkcRI/Dg55n56Drr74gqJC0nYIR2G1Kp7+YQffb9rP184v092wF9z84I4fIbhhe+ZuimryPpeTmath7969JCQkoJTi22+/rfAapv79+/P9999jNpvJzMxk5cqV9OzZU4e0wl64untRcMWbAPTO+IWkTSt0TiSEsAed4wZgvmMpB40tCSKTbn/cxrJZT1NgLtE7mhDChhkMGi+PjGZEXBvuLHqMrdZ2UJCJmnMV7F6sd7wmTQquaoiJiWHGjBlER0fj7+/PqFGjLpinR48ejB07lri4OAYOHMjzzz9PcHAwQIUX3QkB0LH3lcT7XYVBUzgvfYTiYtu5C7wQwnaFtOlMi/9bx07/yzFpVq44OoOk6UNYv0XOphBCVM5g0HhtdAx3XhrL7UVP8JelM1pRLuqbW2DZ01BcoHfEJklOKbyI1NTUOp0SGB8fz1NPPcVvv/1Wq+VF05d1+hjM6IkPuaxr/xj9b31a70h2SU4LEg5JKf7+5S0itkzDhSLylQsrfMfQ5ton6NK2pd7p7IK0HcJRLd2ZxpTvE3mg6FPuNJV+TjV7hOB82ZNosbeA0XSRNTi2JnlK4QcffEDr1q1xdXUlLi6uWl1A6m379u3cdNNNTJgwQe8owob5BIawL/phAHr8/RbxC98g6bdPSfz2FeJ/nU1+Xo7OCYUQNkvT6DBiMpZ//clBz264a2ZGZH1J+LxerJh+I6sXf0NmZobeKYUQNujKqGCWTL6UnbHPcE/xoxxT/rjkHUP7aRI5r3Ykdf6jZO9ZCyVFeke1e3ZxhGv+/PncfvvtfPDBB/Tr14+PPvqITz75hF27dtGy5cW/wZNvmoStU5YStv73GroXrL9g2lGtOQVXvU+7npfrkMx+yLfUwuEpxfFN32H942VCzP+7cbxFaZw2BlLgFozyaI6zdwAmd39MHn7g6kuJszfFzj6UaCZKSqyYSywUFZdgLrFQojQsSsPT3Y2QVh1pERyO1sTuZSVthxCQcjqPT/7Yhc/Oudyj/UiA9r8vewtw5rCpFZkuoZhdm6G5emNw9cLJ1QMnFw9c3Nxxc/fEzd0Dd3dP3D08Mbn7glcLcHLTb6caWE3e53ZRcPXu3Zvu3bszc+bMsnGRkZGMHDmSadOmXXR5afiEPTCbC9j0xXMEHVtBCU7kOgfQuiCJIDKwKI2d7e6jy40vYHJ2RSlFwqEzfLRqH+ZDm7jPbTU9DHtwaTcI+j8E/m303p1GJx+ahDjLauV00h+c/HMe/ifW00KdrLdVZ+PBUdf2FAZGYQyOwuARgJObN66evvj5BeDl44fm4gUmlwsXVgqsJWAwgaahlKKw2AqAQRVhNBgxmpzKrnsuKS7GaDQ2eIEnbYcQ/5NfVMLKnUfI3PYTYUeWEF2yo1zxVVM5midnjAHkOAVgdg0C9wCMHn4UmbwpNHpQpLlgxhmL0Q1fHy8CfH0J8PPFz8sdk0Ej31xCVk4eWbm5lBSbcaIEzVpMkUXDwzeQ8Ii2OHn4ldumxaootlhxdTKWD6NU6TVqJhcw/GNaLTSpgquoqAh3d3e+/fZbrr/++rLxDz74IImJiaxevfqCZcxmM2azuex5VlYWLVu25PDhw9LwCbuSnZVB8ryH6J37BwAFyolszRsLGk6qGFfMeGmF5ZaxonGKAIq58NxrbzcnvF1NcOWr0Kpfo+xDY8nOziY8PJwzZ87g4+NTq3VI2yGaovQTR/j772Qy01IoyDhOcX4mTsXZuFpy8CQfby0fH3IxYQU00DQ0zYCmlV53YMCK0WImQGVg0Kr3kaEIE/m4UYArTpSc/akII1ZKMFCAM4XKBSeKcceMs2YB4IxyJx83vMjDSyukSJnI0rwwU0EBd55jrUbS6+ZnavX6SNshROXyzcWkHdhB7tHdkHkQlZ+OtTAXQ0kuWnEBmsWMoaQQk7UIoyrCSZlx1UrwJQdXrXF6Ts3FlWy8UIBVlQ6K0g5CXLDiRDEminGlCGdKM+XgTh4eaICREoxYcDr7WIALRbjg6+l2YdF2nmyDP+GPrqpe21Gnu4o1gqNHjypA/fnnn+XGv/zyy6pDhw4VLjN16tQKb+grgwwyNP3h8OHDtW5vpO2QQQbHHaTtkEEGGWozVKftsPkjXMeOHSM0NJS//vqLPn36lI1/+eWX+fzzz9m9e/cFy/zzm6YzZ84QERHBoUOHav3tFUDPnj3ZvHlznearbNo/x1f3+bnHc9/Q1fXbNFvZx4p+tvV9rM64qvZxxYoV9bJ/F8te3flqs48X29/62seKciilyMnJISQkBEMtT0GStsP23ldV7UNFz6XtkLajprml7ajZc3t5X1W1DxU9l7ZD2o6a5q5J22Hz/T0GBgZiNBo5fvx4ufEnT56kefPmFS7j4uKCi8uFpx/4+PjU6cU2Go3VWr6q+Sqb9s/x1X3+z/He3t5NYh8r+xlsdx+rM646+1jX/btY9urOV5t9rO7+NtTvsC4fbEDajqawj9J2SNtRm9zSdkjbIW2HtB21yV3dtsPmuxpydnYmLi6O5cuXlxu/fPly+vbt26hZqtu9e1XzVTbtn+Or+7y+u5y3lX2s7Of60FD7WJ1xTX0fq7u/dWVvt1qwlffV+c/t5W+uovGO9r765/OmuI/SdlTMVt5X5z+3l7+5isY72vvqn8+b4j7aS9th86cUwv+6hf/www/p06cPH3/8MbNmzSIpKYmIiIiLLu8IvQXJPtq/pr5/YH/7aG95a0P20f419f0D+9tHe8tbG7KP9q+p7x/Yzj7a/CmFADfeeCPp6em88MILpKWlERUVxeLFi6tVbEHpof6pU6dWeLi/qZB9tH9Nff/A/vbR3vLWhuyj/Wvq+wf2t4/2lrc2ZB/tX1PfP7CdfbSLI1xCCCGEEEIIYY9s/houIYQQQgghhLBXUnAJIYQQQgghRAORgksIIYQQQgghGogUXEIIIYQQQgjRQKTgEkIIIYQQQogGIgWXEEIIIYQQQjQQKbiEEEIIIYQQooFIwSWEEEIIIYQQDUQKLiGEEEIIIYRoIFJwCSGEEEIIIUQDkYJLCCGEEEIIIRqIFFxCCCGEEEII0UCk4LIBKSkpDBkyhM6dOxMdHU1eXp7ekYQQQgghhBD1QFNKKb1DOLpBgwbx0ksvMWDAADIyMvD29sZkMukdSwghhBBCCFFH8qleZ0lJSTg5OTFgwAAA/P39dU4khBBCCCGEqC9ySmEV1qxZw4gRIwgJCUHTNH744YcK5/vggw9o3bo1rq6uxMXFsXbt2mpvY+/evXh6enLttdfSvXt3XnnllXpKL4QQQgghhNCbQxZcf/75J8XFxReM3717N8ePHy97npeXR2xsLDNmzKh0XfPnz+ehhx7i6aefZuvWrQwYMIDhw4dz6NChsnni4uKIioq6YDh27BjFxcWsXbuW999/n/Xr17N8+XKWL19evzsshBBCCCGE0IXDXcNltVrp3r077du355tvvsFoNALw999/M2jQIB5++GEee+yxC5bTNI1FixYxcuTIcuN79+5N9+7dmTlzZtm4yMhIRo4cybRp0y6aZ/369Tz//PMsXboUgNdffx2ARx99tLa7KIQQQgghhLARDneEy2AwsHjxYrZu3codd9yB1Wpl//79XHrppVx77bUVFluVKSoqYsuWLQwbNqzc+GHDhvHXX39Vax09e/bkxIkTZGZmYrVaWbNmDZGRkTXaJyGEEEIIIYRtcshOM0JCQvjjjz8YOHAgt9xyC+vXr+eyyy7jww8/rNF6Tp8+jcVioXnz5uXGN2/evNypiVUxmUy88sorDBw4EKUUw4YN45prrqlRDiGEEEIIIYRtcsiCC6Bly5bMmzePQYMG0aZNG2bPno2mabVa1z+XU0rVaF3Dhw9n+PDhtdq2EEIIIYQQwnY53CmF55w4cYL77ruPESNGkJ+fz8MPP1zjdQQGBmI0Gi84mnXy5MkLjnoJIYQQQgghHI9DFlynT5/msssuIzIyku+//54//viDBQsW8Mgjj9RoPc7OzsTFxV3Qq+Dy5cvp27dvfUYWQgghhBBC2CGHO6XQarVy5ZVXEhERwfz58zGZTERGRvL7778zZMgQQkNDy4525ebmsm/fvrJlU1JSSExMxN/fn5YtWwIwefJkbr/9dnr06EGfPn34+OOPOXToEPfff78u+yeEEEIIIYSwHQ7XLTyUHoEaMGAArq6u5cYnJiYSEBBAeHg4AKtWrWLIkCEXLD9u3Djmzp1b9vyDDz7gtddeIy0tjaioKN566y0GDhzYoPsghBBCCCGEsH0OWXAJIYQQQgghRGNwyGu4hBBCCCGEEKIxSMElhBBCCCGEEA1ECi4hhBBCCCGEaCAO0Uuh1Wrl2LFjeHl51frmxkII26aUIicnh5CQEAyG+vkuSdoOIZo+aTuEELVRk7bDIQquY8eOlfU8KIRo2g4fPkxYWFi9rEvaDiEch7QdQojaqE7b4RAFl5eXF1D6gnh7e+ucRgjRELKzswkPDy97v9cHaTuEaPqk7RBC1EZN2g6HKLjOHc739vaWhk+IJq4+T9+RtkMIxyFthxCiNqrTdthFpxkzZ84kJiamrOHq06cPS5Ys0TuWEEIIIYQQQlTJLgqusLAwXn31VeLj44mPj+fSSy/luuuuIykpSe9oQgghhBBCCFEpuzilcMSIEeWev/zyy8ycOZMNGzbQpUuXC+Y3m82Yzeay59nZ2Q2eUQhh/6TtEELUhrQdQoiq2MURrvNZLBa++eYb8vLy6NOnT4XzTJs2DR8fn7JBegoSQlRHTduOO++8E03T0DSNVatWNU5IIYTNkbZDCFEVuym4duzYgaenJy4uLtx///0sWrSIzp07Vzjvk08+SVZWVtlw+PDhRk4raspcYmFF8gleWZzMf77eypPfb+erjYfIzCvSO5pwILbYdgwePJiHHnqo2vMrpbjvvvvw9/dH0zQSExN1yXG+9PR0goKCSE1NrZcsQtTGmDFjePPNNxtk3bbQdjSV91lD/p6E0IvdFFwdO3YkMTGRDRs28O9//5tx48axa9euCud1cXEp62BDegiybUUlVmatOUC/V1dy72ebWLl2Ddk7FnMwfglvLVpDv+l/MHPVfixWpXdU4QCaQtuxdOlS5s6dyy+//EJaWhpRUVENsp2aFGDTpk1jxIgRtGrViqVLl5Z9s1/ZUF+dIk2bNo2ePXvi5eVFUFAQI0eOZM+ePeXmuVinTM8999wF+Vq0aFHh9u68805GjhxZbtx3332Hq6srr732WrUyN+br01Au9rqvWbOGESNGEBISgqZp/PDDDxesIycnh4ceeoiIiAjc3Nzo27cvmzdvrnB71X3dp0yZwssvv9wgp/vVtO2YO3cuSimUUgwePLheMtTn+0zPv8OG+j3V5L0sRH2zm4LL2dmZdu3a0aNHD6ZNm0ZsbCzvvPNOva3/p59+omvXrri6utK6dWteffVVPv3007I35XPPPVdv2xKldh7NYvg7a/h48XruKvyMeNeJLHd5jLnOr/GV8ytsdp3ApzzH78t+5N9fbKGw2KJ3ZCEqlZ+fz+OPP05oaCheXl4MGDCALVu2NHqO/fv3ExwcTN++fWnRogUmk76X6hYUFDB79mzuvfdeAAYNGkRaWlrZEBAQwFNPPVVu3OWXX14v2169ejUTJkxgw4YNLF++nJKSEoYNG0ZeXl7ZPNXplKlLly7l8u3YsaNa2//kk0+49dZbmTFjBo899li1lmnM16ehXOx1z8vLIzY2lhkzZlS6jnvvvZfly5fz+eefs2PHDoYNG8bQoUM5evToRbdf2eseExNDq1at+PLLL+u+k3VU36cU1vf7TM+/w5r+ngYPHszcuXOrNW9t38tC1JmyU5deeqkaN25ctebNyspSgMrKyqpw+vfff680TVNAuSE8PLzs56lTp9ZfeKG+2XRQdXjqZ/XSU/er3KlBSk31Lh1eaqHUzH5KvddDWaf6lI1/46m71QOfxyuLxap3dGGjLvY+b4h1jhs3rqyNaNGixQVtSGBgYI3y5Obmqttvv115eHioFi1aqP/+979q0KBB6sEHH1RKKWW1WtX06dNV69atlaurq4qJiVHffvtthXkAFRERoZRSasmSJapfv37Kx8dH+fv7q6uvvlrt27evbLmIiAj11ltvlcsSGxtbrt07P8c/twOolJSUCvdp4cKFKjAwsMJpR44cUYBavHhxtV+jujh58qQC1OrVq6ucz8/PT33yySdKKaWmTp2qYmNjq7X+cePGqeuuu04ppdT06dOVi4uL+u6772qdt7Ffn4ZS1esOqEWLFpUbl5+fr4xGo/rll1/KjY+NjVVPP/30Beuoyev+3HPPqQEDBpQbp3fbsXLlyjpvryHfZ3r8HVb0e6rMoEGD1Jw5cy46X03ey0JUR03aDrs4wvXUU0+xdu1aUlNT2bFjB08//TSrVq3i1ltvrfO6lVI8/PDDKKXKtnXmzBnWrl1b7ltQUT+UUvx32R7eXLiaz4wv8bTTV3hQCCHd4cYv4PGDcP86mLgZ7eGd0LX0dzzZ6Ttidr/Bx2sP6LwHQlTMaDSyadMmTp8+XXaK0OnTp1m8eHG11/Hoo4+ycuVKFi1axG+//caqVavKHSV75plnmDNnDjNnziQpKYmHH36Y2267jdWrVwPwzjvv8MILLxAWFkZaWlrZKVh5eXlMnjyZzZs3s2LFCgwGA9dffz1Wq7VW+/rOO+/Qp08fxo8fX/ZNcWWdBKxZs4YePXpUOG3r1q0AxMXFVbqtV155BU9PzyqHtWvXVit3VlYWAP7+/hVOr6xTpr179xISEkLr1q256aabOHCg6nboiSee4MUXX+SXX35h9OjR1cpWkeq8Pg2lMV/3fyopKcFiseDq6lpuvJubG+vWrat0ueq87r169WLTpk3lehRsCur6PquKHn+HDfV7qul7WYj6Yhfdwp84cYLbb7+dtLQ0fHx8iImJYenSpfVyOPvvv//m4MGDAAQGBvLCCy9gNBrp378/48ePZ/r06XXehihVVGLl8YXbOZC4mp9c3qS5dgbl7Il2xSvQ7XYw/KP+9wmDkR9ASDdY/Aj/Mv3KE8tD2Rc5hXZBXvrshBCVeOyxx+jZsycAo0ePLjtNqLoXsOfm5jJ79mzmzZtX1rZ99tlnhIWFAaVF05tvvskff/xRVgy0adOGdevW8dFHHzFo0CB8fHzw8vLCaDSWuzbhnx8+Z8+eTVBQELt27arVNV4+Pj44Ozvj7u5+0WsgUlNTCQkJqXBaQkICoaGhBAUFVbr8/fffzw033FDlNkJDQy+aWSnF5MmT6d+//wX7vGPHDvr06UNhYSGenp7lOmXq3bs38+bNo0OHDpw4cYKXXnqJvn37kpSUREBAwAXbWbJkCT/++CMrVqzg0ksvvWiuqlTn9WkojfG6V8bLy4s+ffrw4osvEhkZSfPmzfn666/ZuHEj7du3r3CZ6r7uoaGhmM1mjh8/TkRERLXy2IO6vs+qosffYUP8nmr6XhaiPtlFwTV79uwGW/fp06fLfg4LC8NoNJY9b9WqVYNt19FYrIqHFySStfM3vnF+AzetCJpFot30JQS0rXrhXuNRBZloK1/mOeMcpv7Qh+n3jWqc4EJUU2RkZNnPHh4eZT8XFhZWa/n9+/dTVFRU7siKv78/HTt2BGDXrl0UFhZe8EVTUVER3bp1u+i6n332WTZs2MDp06fLjmwdOnSowTrVOKegoOCCIxXnJCQk0L179yqX9/f3r/aRkapMnDiR7du3V3iE5FynTGfOnGHhwoWMGzeO1atX07lzZ4YPH142X3R0NH369KFt27Z89tlnTJ48+YJ1xcTEcPr0aaZMmVLWcURtVef1qQmLxVLuf1xVGuN1r8rnn3/O3XffTWhoKEajke7du3PLLbeQkJBQ4fzVfd3d3NyA0msum5K6vs+qUp9/h9X9G6zq9/TKK6/wyiuvlD0vKChgw4YNTJw4sWzckiVLGDBgQLnlavpeFqI+2cUphQ2pWbNmZT8fO3as3Ck2KSkpekRqcpRSPPPDDsw7f+FTp9dLi612Q+Ge3y5ebJ2lDXiEgvCBuGrFjDz8Oit3n2jg1ELUjJOTU9nPmqbVePlzpzVX5lzb9Ouvv5KYmFg27Nq1i++++67KZUeMGEF6ejqzZs1i48aNbNy4ESgt1gAMBsMF2y8uLq7xPlQkMDCQzMzMCqclJCRc9DSl+ji1bdKkSfz000+sXLmy7Ijh+WrSKZOHhwfR0dHs3bu3wumhoaGsXr2atLQ0rrzySnJycqrMVpWqXp9Zs2YRHR1NbGwsTzzxBADTp08nKiqK6Ojosg4HUlNTiY2NZfz48XTr1g2z2cycOXPo1asXMTExTJkypcL1N8brXpW2bduyevVqcnNzOXz4MJs2baK4uJjWrVtXOH91X/eMjAyg/P/+pqCu77OqVLZ8Q/4NVvV7uv/++8u1gT169OCFF164YNzFXOy9LER9sosjXA2pffv2tGrVitTUVE6ePMnLL7/MQw89xLZt2/jkk0/0jtckvLp0N7nx8/nQ6QNMmhUir4XRs8HkXP2VGAy4jZpB8bs96GPcxZRfvmJwx4dq9cFWCFvUrl07nJyc2LBhAy1btgQgMzOTv//+m0GDBtG5c2dcXFw4dOgQgwYNqvZ609PTSU5O5qOPPir7xvefRxuaNWtGWlpa2fPs7OyLfuHk7OyMxXLxnkO7devGF198UWGuw4cPX/Sb87qc2qaUYtKkSSxatIhVq1ZV+mG9ouUqu3bEbDaTnJx8wbfn52vZsiWrV69myJAhDBs2jGXLltX4FgNVvT7bt2/n3XffZd26dfj4+JCRkUF8fDwLFiwgPj6e/Px8evbsyZAhQwBISkri888/Z9asWezatYvFixezfv16NE3juuuuY/369eWOrII+r3tFPDw88PDwIDMzk2XLllXZvX51XvedO3cSFhZGYGBgrTPZorq+zypT2fIN/TdY1e/pn0df3dzcCAoKol27djXat+q8l4WoLw5fcGmaxptvvsno0aNRSjFlypSyb1vO/2ciH+xr54NV+zi29gvecXofg6Yg5ia47n0w1uJPzy8CS9y9OMV/wNjsuWzYfzt92jWtf5rCcXl6enLPPffw6KOPEhAQQPPmzXn66acxnL220cvLi0ceeYSHH34Yq9VK//79yc7O5q+//sLT05Nx48ZVuF4/Pz8CAgL4+OOPCQ4O5tChQ2XfRp9z6aWXMnfuXEaMGIGfnx/PPvvsRU/7adWqFRs3biQ1NRVPT0/8/f3Lsp7viiuu4MknnyQzMxM/P7+y8ec6A2nIUwonTJjAV199xY8//oiXlxfHjx8HSq9BO3fK0lNPPcXw4cMJDw8nJyeHb775hlWrVrF06VIAHnnkEUaMGEHLli05efIkL730EtnZ2ZW+3ueEhYWxatWqch/+fXx8qp29qtdn1apV3HjjjWXr8/f3Z968eYwePRpXV1dcXV257LLL2Lx5M7GxsXTo0IGYmBgAVqxYwfr168uOWOTm5rJ///4LCq6GfN1zc3PZt29f2fwpKSkkJibi7+9f9mXDsmXLUErRsWNH9u3bx6OPPkrHjh256667qtz2xV73tWvXMmzYsFrtly2r6/usMpUt39B/gw3xe6rte1mI+uDwpxQCXH/99SxatIjY2FicnZ1p2bIlL774YrnzgZvat2GN4cuNB9n82ze86TSztNjqPg5GzqxdsXWW65BHMBvciDaksvW3z+oxrRD6e/311xk4cCDXXnstQ4cOpX///uVO5XnxxReZMmUK06ZNIzIykiuuuIKff/65yiMIBoOBb775hi1bthAVFcXDDz/M66+/Xm6eJ598koEDB3LNNddw1VVXMXLkSNq2rfp030ceeQSj0Ujnzp1p1qwZhw4dqnC+6OhoevTowYIFC8qN37p1K0FBQdXqeKG2Zs6cSVZWFoMHDyY4OLhsmD9/ftk85zpl6tixI5dddhkbN24s1ynTkSNHuPnmm+nYsSOjRo3C2dmZDRs2VOtC/nOnuZ05c4bLL7+cM2fOAKU3vb3Yl3h1fX2UUmXbcHd3Lzf+vvvuKzv1at++fdx222212kZlLva6x8fH061bt7JrDydPnky3bt3KnVqWlZXFhAkT6NSpE3fccQf9+/fnt99+K3fqbmUqe90LCwtZtGgR48ePr9f9tQW1eZ819N9hbf8GG+r3VJf3shB1Vv+90tuei/WTn52drX7//XdVVFRUNi4pKUm1atVKAcpgMKjdu3c3Vtwm4cfEo+rGJ19XBVMCSu+l9d29Slks9bLujJ+fVWqqt9r0bA914FRuvaxT2D897qUjqufXX39VkZGRylJPbYC9mzp1qho0aFCtl9+xY4eKiopSZ86cUUoplZ6erjZv3qzi4uJUYWGhysjIUG3btlXHjh1TKSkpKi4urtyynTt3VhkZGUoppQ4fPqxOnz5dp/2xFzNmzFCXX375BeObSttR0/dZXf4OG/JvsLLfkxC2pibvc4c/pRBKz1EeOnQoTk5OBAUFUVhYSHp6etn0qVOnlvUUJi5u5e6TfLpgIZ87/RdXrRjV4Uq0kR9c2O17LfkNeoCS+Bn0NPzNZ2tX0vr6a+plvUKIhnHVVVexd+9ejh49Wun9uhzJsmXLKu2UozqioqJ48MEH6devHyaTieHDhzNt2jTGjh1LXFwcmqbx/PPPExwcfMFtCaKionj88ccZPHgwVqsVLy8vvvnmG4foFtvJyYn33ntP7xgNpqbvs7r8HTbk32BT/z0Jx6QpdZGusZqA7OxsfHx8yMrKqvDC5TNnzjBp0iTWr1/P8ePHKSoqolmzZvTu3Zv777+/SZ7v3VA2pWTw3OyFfGF8Dn8tF9VqANqt34FTxd3V1taxWTcScnQpi4xXcN3T8zEY5Bo7R3ex97mtrFMIYVuk7RBC1EZN3udyhAvw9fXl888/1zuG3dt5NIspc39lrvFl/LVcrCHdMdz8db0XWwCBg/8NXy7l8pLVbP77EL07yTnYQgghhBDC9kinGaJe7D+Vy//NXsZH6gVaaJlYm3XCcNtCcKn9TT+r4txuEKedw/DUCjmwrup7EAkhhBBCCKEXKbhEnR09U8CEWb/zbsnzRBhOYvVtheH2H8C9dl0KV4umUdBxJAAhRxZTYrFWPb8QQgghhBA6kIJL1MnpXDP3zVrJq4Uv0NFwBKtHcwx3/ADewQ2+7eB+twLQR20l8e/UBt+eEEJczPXXX4+fnx9jxozRO4oQwo5I29G0ScElau1MfhH3frKGZ7JfpKthP1ZXPwzjfgT/yu8JVJ9MLTqT5tIaZ83CsQ3fNso2hRCiKv/5z3+YN2+e3jGEEHZG2o6mTQouUStZ+cXc88lqHk2fSh/jLqxOnhhuXwhBkY2aI7fdtQD4H16OA3S4KYSwcUOGDMHLq2GuXRVCNF3SdjRtUnCJGssuLOae2Wt58NTz9DMmYXXywHD79xAa1+hZwi8ZDUCcZRspx083+vaFEHW3Zs0aRowYQUhICJqm8cMPP5SbPm3aNHr27ImXlxdBQUGMHDmSPXv26BNWCGEzpO0Q9kIKLlEjOYXF3DP7TyaefI6Bxh1YTe6lvRG27K1LHtewGNKNgbhpRRzYtEyXDEKIusnLyyM2NpYZM2ZUOH316tVMmDCBDRs2sHz5ckpKShg2bBh5eXmNnBTi4uKIioq6YDh27FijZxHC0UnbIeyGcgBZWVkKUFlZWXpHsWs5hcXqhvdXqt+fGaTUVG9lebG5Uilr9Y6ldn50t1JTvdWK/96mdxSho4Z4nzd227FkyRLl6uqqiouLy8bt2rVLAerUqVONkkFvgFq0aFGV85w8eVIBavXq1RVOHzRokJo4caJ68MEHla+vrwoKClIfffSRys3NVXfeeafy9PRUbdq0UYsXL75g2W+//VZFRUUpV1dX5e/vry677DKVm5tbo31YuXKlGj16dI2WEfqRtqNpkLZDNLaavM/lCJeoljxzCeM//Yt7017gMuNWrEZXDLcugFb99Y6GR/TVAHTK/oviEovOaYSovcTERLp06YLJZCo3LjQ0lMDAwAbb7iuvvIKnp2eVw9q1axts+zWVlZUFgL9/5bee+OyzzwgMDGTTpk1MmjSJf//734wdO5a+ffuSkJDAFVdcwe23305+fn7ZMmlpadx8883cfffdJCcns2rVKkaNGiXXhwqbJ21H9UjbIfSiKQf4a8jOzsbHx4esrCy8vb31jmN3MvOKuH/OWh448RyDjNuxGl0w3DIf2g7ROxoAVnMelmktcaKEbdevJDa2u96RhA4a4n3e2G3HzTffjIeHB5988knZuMcee4ykpCR+/fXXBttuRkYGGRkZVc4TGhqKm5tbg2U4R9M0Fi1axMiRIyucrpTiuuuuIzMzs9IPcoMHD8ZisZRNt1gs+Pj4MGrUqLJewI4fP05wcDDr16/nkksuASAhIYG4uDhSU1OJiIioVf4rrriChIQE8vLy8Pf3Z9GiRfTs2bNW6xKNQ9qO2pO2Q9oOR1aT97kc4RJVSssq4O4Pf+Oxk48zyLgdi8kNwy3f2EyxBWBw8SDVrQsAJ7f9pnMaIWovMTGR2NjYi46rjWPHjnHrrbdWOM3f35927dpVOVzsA9Nzzz2HpmlVDvHx8XXej4kTJ7J9+3a+/vrrKueLiYkp+9loNBIQEEB0dHTZuObNmwNw8uTJsnGxsbFcdtllREdHM3bsWGbNmkVmZmaN8i1btoxTp06Rn5/PkSNH5AOTaBTSdlyctB1CT1JwiUrtP5XL/R/8yrSsJ4gz7MXi4oNx3E/Q9lK9o12gKKwvAK5H/9I5iRC1U1BQwN69e+natWvZOKvVSkJCQrU/NFkslZ9SGxISwpdfflnhtPo4LWjixIkkJydXOURFRVVrPyozadIkfvrpJ1auXElYWFiV8zo5OZV7rmlauXGapgGlr/E5RqOR5cuXs2TJEjp37sx7771Hx44dSUlJqVNuIRqStB0XJ22H0Jvp4rMIR/TnvtO89cVCPlDTCTWkY/FojvGOH6B5Z72jVahZ7OWwdyadChPJNxfj7uJ08YWEsCH79+/HYrHQsWPHsnHLli0jPT2d2NhYUlNTufbaa4mKimL79u1ccsklfPTRRxw+fJjrrruOXr16sXHjRjZv3szbb7/N559/jqZpPPHEE9x6662kpqYyZsyYCr8pvv/++7nhhhuqzBcaGlrl9MDAwAa7VkQpxaRJk1i0aBGrVq2ideuGu7m6pmn069ePfv36MWXKFCIiIli0aBGTJ09usG0KURfSdlRO2g5hK6TgEhf4cuNB1vz0GZ+ZZuChmSnxa4vpju/Br5Xe0SrVrGM/zDjTTMti6854usX10TuSEDUSEBCApmls2rSJa665hg0bNjBx4kTc3Nxo3749hw8fZufOncyZM4fu3bszcuRIFi5cSK9evUhKSuLzzz9n1qxZxMfHs2DBAuLj48nPz6dnz54MGVL1KcD+/v5VXkTe0HJzc9m3b1/Z85SUFBITE/H396dly5ZMmDCBr776ih9//BEvLy+OHz8OgI+PT71eG7Jx40ZWrFjBsGHDCAoKYuPGjZw6dYrIyMa9obsQNSFth7QdwvZJwSXKlFisvPTLLlw3vcdM03wMmsLSehCmGz4DNz+941VJc3IlxT2aTvlbyNq1AqTgEnYmODiYF198kTvuuANPT08GDx7M2LFjWbFiBUajEYB27doRF1d6g/Ebb7yRv/76i169etGhQ4ey6w7WrVvH6NGjcXV1xdXVlcsuu4zNmzfXy7UcDSU+Pr7cB7tz3wiPGzeOuXPnMnPmTKD0gvbzzZkzhzvvvLPecnh7e7NmzRrefvttsrOziYiI4I033mD48OH1tg0h6pu0HdJ2CNsnBZcASjvHeOzLPxmd9gYjnUqvg1I97sU4/FUw2sfpeQWhfWHvFjyOyXVcwj49/fTTPP3005VOP3ftwD+fu7u7V7qMUuqC5WzN4MGDq+w+uaad6a5ateqCcampqRddb2RkJEuXLq3RtoSwBdJ2VEzaDmErpNMMwe+7TvDw25/xwvEHGGn8C6tmhKv+i3bNG3ZTbAH4dhkKQPv8bZTI/bhEE7R3714SEhJQSvHtt9/St2/fC+bp378/33//PWazmczMTFauXCm9XQnh4KTtEEJfUnA5MHOJhRd+SuLPL19knvUpWhtOUOIZguGuxdBrvN7xaiyiSx8KccJXy+XAnm16xxGi3sXExDBjxgyio6Px9/dn1KhRF8zTo0cPxo4dS1xcHAMHDuT5558nODgYuPBbbiGEY5C2Qwh9ySmFDirx8Bmmf7eGuzPe4nKnBACsHa/GdN0McNfvAti6MDi5cMilIx3MOzmRtJoOXeQGyKJpMZlMfPrpp+XGtWrV6oLewx5//HEef/zxcuNOnz6Nn59tX4sphGgY0nYIoS8puBxMTmExby7bTdGmT/nI9A3exnysBicMV07D0PNesPNvsXKD4uDwTgxHN+sdRQibsX37dm666SbeeOMNvaMIIeyItB1C1A8puByEUoplScf54odf+b+imXRzKu1GtaR5DKaR70NwzEXWYB/c2vSBw58RnL1d7yhC1KuKvo2urpiYmHJdJwshHIe0HULoTwouB7DvZA5v/ZpI7P6ZzDUuwWSwUuLkiemyZzH1Gg8Go94R601YzCBYDW3UYTJOn8Q/MEjvSEIIIYQQwoFJwdWE7TuZy8zfd+Ke9A3PmH4k2JQBgCXyOkzDXwXvEJ0T1j+vgBCOaMGEqTQO71iD/5AxekcSQgghhBAOTAquJujAqVxmLt+B964vedT4Cy2cMgEo9grHacSbGDsM0zlhwzruHUNYVhoF+/8CKbiEEEIIIYSOpOBqQlJO5/HR8m34Js3jMeOvNDNlA1DkEYLzoMk4dbsdnFx1TtnwLCE9IGsZnqe36h1FCCGEEEI4OCm47Fx+UQnLko6zZPNuOhyaz+PGxfiZcgEo8grHefAjOMfeAiZnnZM2Hv+OfSAZwgv3oKxWNIPcbk4IIYQQQuhDCi47ZLUqNqSk8/PmfRTt+pUr1J+8Z9iGi6kEALN3a1wufQzn6LFgdNI5beOL6NSDImXCR8vjaOoeQttE6h1JCCGEEEI4KCm47Mj+U7n8GH+A41t+pZ95Dc8atuBuMJdNLwrsjPPAybhEjWpSPQ/WlLOrG3udWtO+ZC/Hkv+UgksIIYQQQuhGCi4bVmKxsvt4DpsPnCIlfimd05dzj3ETPlo+nK2nzF4tcY4dixY9BufmnfUNbEPO+EbB6b0UH0rQO4oQQgghhHBgUnDZkPRcMwmHzpBwKJP9Bw6g0rbTVyVwjXEDzbSsst9WoWszTDGjMcXcgEtod9A0fYPbIENYdzi9CO+MHXpHEUIIIYQQDkwKLp2UWKzsOZFDwsEMDu9LwnxkG83y9tBFS+Uuw0GCtDNlR7EACk0+qM7X4tbtRlwj+jr0KYPVEdihNyRCq6K9WC0WDEZ5vYQQQgghROOTgquRZOQVkZhygsN/byX/UCKembvooFIYqR3ESysonem834ZCo8i3Lc4RPdG6jMK17RCH7ACjtsI6dKdQOeGpFXBo/w5aduiqdyQhhBBCCOGApOC6CKUUBcUW8oss5Jst5BeXkGe2kF9UUjru3KPZQl5RCQVFpY+Wghz8c/6mRcHfBObsJrxoP/20I7hopT0Jop0dgBLNmXy/jriGdcU5LBaCY9Gad8HF2UO3/bZ3RpMTe53a0akkmVN/b5SCSwghhBBC6MKhCq7Eb6fh7OxEsUVRZLFSVGKl5OxjkcVaOr7ESrHl7PMSK8VWK0pVb/0uFBNtOEwXLZXWhhPlJ569FVSBwZNs30icwmLxbR2HISQWU2AHvOXoVb3L9I2C08lYDkvHGUIIIYQQQh8OVXB13fc+3i416GDCQFmhVBt5LkFk+0ZiDowisF0PPFt1x803Ajfp5KJRaKHd4PS3+GRKxxlCCCGEEEIfDlVwbfIYgo+HC0aDhsmgYTIYMBm1/z03nh1n0DD+c5pBQ7tYoaQZIbA9tIiG4Fg8PAKRkwL1E9C+N2yDlkX7UJZiNDmKKIQQQgghGplDFVy9/vM53t7eescQjSSiQyy5yhVPrZDjB3bQon13vSMJIYQQQggHU4cT5oSwbc7OTqQ4tQPg1J71OqcRQgghhBCOyC4KrmnTptGzZ0+8vLwICgpi5MiR7NmzR+9Ywg6c8ekMQMmRrTonEUIIIYQQjsguCq7Vq1czYcIENmzYwPLlyykpKWHYsGHk5eXpHU3YOC2kKwBemUn6BhFCCCGEEA7JLq7hWrp0abnnc+bMISgoiC1btjBw4ECdUgl74NuuF+yAMPM+sJSA0S7+5IUQQgghRBNhl58+s7KyAPD3969wutlsxmw2lz3Pzs5ulFzC9rTp9L+OM9IP7iSgTVe9IwkbJm2HEKI2pO0QQlTFLk4pPJ9SismTJ9O/f3+ioqIqnGfatGn4+PiUDeHh4Y2cUtgKdxdnDpjaAHBiz0ad0whbJ22HEKI2pO0QQlTF7gquiRMnsn37dr7++utK53nyySfJysoqGw4fPtyICYWtyfSOBKD4cILOSYStk7ZDCFEb0nYIIapiV6cUTpo0iZ9++ok1a9YQFhZW6XwuLi64uLg0YjJhy1RwV8hciEfGTr2jCBsnbYcQojak7RBCVMUujnAppZg4cSLff/89f/zxB61bt9Y7krAjvm17ARBSuA+sFp3TCCGEEEIIR2IXBdeECRP44osv+Oqrr/Dy8uL48eMcP36cgoICvaMJO9C6U1fylQvuFJJ9NFnvOEIIIYQQwoHYRcE1c+ZMsrKyGDx4MMHBwWXD/Pnz9Y4m7ICPhyv7jaVHRY8nb9A5jRBCCCGEcCR2cQ2XUkrvCMLOpXtFQtZuzIe3APfqHUcIIYQQQjgIuzjCJURdWYJjAXA7naRzEiGEEEII4Uik4BIOwbtNaccZwQV/g9WqcxohhBBCCOEopOASDqF1p64UKGc8KCDv+B694wghhBBCCAchBZdwCIHeHuwztALg+G7pOEMIIYQQQjQOKbiEwzjlGQlAwcEEnZMIIYQQQghHIQWXcBglLWIAcD21Q+ckQgghhBDCUUjBJRyGd+ueAATn75GOM4QQQgghRKOQgks4jFadumNWTniQj/nUPr3jCCGEEEIIByAFl3AYzf082atFAJC2e6POaYQQQgghhCOQgks4DE3TOHG244y81Hid0wghhBBCCEcgBZdwKMVBpR1nuJzarnMSIYQQQgjhCKTgEg7Fq3UcAC3y9oBSOqcRQgghhBBNnRRcwqG07BSHWZnwVHkUnU7RO44QQgghhGjipOASDiUs0Kes44wTe9brnEYIIYQQQjR1UnAJh6JpGsfdOwKQm7JF5zRCCCGEEKKpk4JLOJyisx1nOJ2UjjOEEEIIIUTDkoJLOBz3VqUdZzTP3S0dZwghhBBCiAYlBZdwOK0ie1CkjHipHIrSD+odRwghhBBCNGFScAmHExHkxz6tJQDHdv2lcxohhBBCCNGUScElHI6maZz0jAQgWzrOEEIIIYQQDUgKLuGQLM2l4wwhhBBCCNHwpOASDsm3bU8AgvOk4wwhhBBCCNFwpOASDqltVC+KlRFfssk6fkDvOEIIIYQQoomSgks4JF9vb/YZ2wBwdMdqndMIIYQQQoimSgou4bBO+sQCUJSyXuckQgghhBCiqTLpHUAIvajw3pD5Hb7pW/WOIoSoIaUU2YUlZOYVkZFfxJn8IjLyijmTX0SJVaEUKEofjQaNZp4uNPd2pYWPCy183PB0kX9/QgghGof8xxEOK6jzANgOYUX7UeYcNBcvvSMJIc7KKSzm2JlCjmUVcOxM6ZB2ppCjZwpIyyokLauAYsv5Hd4ovMnHW8vDCQsGrABoKBQap5UPWXgAGgAdm3vRq7U/vVr7M6B9IL7uzo2/k0IIIRyCFFzCYbVr15GjKpBQ7TRHk/4ktPuVekcSwiEUlVg5nvW/Yiotq7SQOldUHTtTQI65BAATJbTQMmlBOiFaBrFaOldqGQQbMvA3ZhOg5eKn5eJDDsazRVal28XEaXw5ZvVnW3pbtpxqz0sbOnDGFMjVMcHc2juC7i190TStMV4GIYQQDkIKLuGwnE0GUt2jCC1YRXryGim4hKglq1WRXVhMel5R6Sl+54b80ufnj0/LKuRUrhmlSoup5mQSrKUTrGXQQUtnkJZBsJZBC+d0Qg0ZBJCFgRrcusHkBkZn0LSzgwEsJWDOwpkSQjhNiOE0PQx/cw9LAEi2tmTBtkHcm9CPthERPHdtF6JCfRro1RJCCOFopOASDs3cogekrMLp2Ga9owgblpVfjDIV6x2j0SgUeUWWC4qlioqozPwiMvOLsVhLiyIXivAjB38tB18tF39KH8PIwU/LoYWWQbBTOsFaJs20M9UrpgxO4B0CPmGlj96hpY+eQeDmD+7+4B5Q+rOTa8XrKDFD7knIPQEZKXBkExzeiDq+g0jDIaYaPudJ01f8cLQ/98y4gaG9Ynl8eCe8XZ3q8ZUVQgjhiKTgEg7Nr9NASPkvYXk7wWoFg3TcKS7Ub/ofGFzc9Y7RyBRumPEjFz8tB7+y4imHjloOfpSO8yMHP9PZecjFXTPXbDNGZ/AK/kcxFQo+Z4sq77DSYqqu702TC/iGlw5hPSBmLABaQSbs+A62fo5z2jZuMK3mGuMGPoq/hrH7buS9O/rSoblc3ymEEKL2pOASDq1DTG/yFrvgpeVz4kAizdt11zuSsEFrXB7Ey8VxinENhTtmXLVaHtUzmM4eeQo4e/TpvCNQXsH1X0zVhZsf9BpfOhzeBL89g/vhjTzstJArcuJ58P2HefCGK7kyKli/jEIIIeyaFFzCoXm4ubLNuROxxdtI275SCi5RIX8tF29H7UjB4HS2cDqveCpXTAX8r5g6N93Fu/T6KXsT3gvuXgZJi7D++iidCw6yQD3J41+nYh57H9d1DdU7oRBCCDskBZdweJnNesGxbRgOrgP+T+84whbduwK8PPVO0bic3EoLKWdP+yyeakvTIGoUhpZ9UN/djdehv5hheoenvs0DHpaiSwghRI1JwSUcnnvHwXBsFuHZW0Apx/pwKaqnWUfw9tY7hWhM3sFo435GLXkcQ/wnvOo0ixe/MxPoOZV+7QL1TieEEMKOOM5FCUJUon23weQrF/xUFhmp2/SOI4SwFUYT2tX/RfX5DwDPmubx65dvczA9T+dgQggh7IkUXMLh+Xl7kuzUGYAjCct0TiOEsCmahjbsBUoumQTAVOtM3vn0MwqKLDoHE0IIYS+k4BICyG7RBwBD6lqdkwghbI6mYRr2AoXtr8FFK+HZ3Jf54MeVeqcSQghhJ6TgEgLw7XwpAC1ztqKs8s21EOIfDAZcx84ixz8KPy2X/jueZnXyMb1TCSGEsANScAkBdOo+kFzlhje5HNm9We84Qghb5OyO122fYza409uwm7+/nUp2YS3vVSaEEMJhSMElBODm6sLfrtEAnExcqnMaIYTN8m+DNuItAO6yfMfXP/6scyAhhBC2TgouIc7KCxsIgNvh1TonEULYMuduN3Gq5XBMmpW+SS+QdCRd70hCCCFsmBRcQpwV2O1qANrlb6ekIEfnNEIIW9Zs7DvkGzyINqSwef6rKKX0jiSEEMJGScElxFkdIrtyhCCctRJS4qV7eCFEFbyaU3zp8wCMyv6c1VuTdQ4khBDCVknBJcRZRqOBFJ9LAMhJkuu4hBBV8+l7D8c9OuKtFZC95AVKLFa9IwkhhLBBJr0DCGFLTB0uh80/0fzkOr2jCCFsncGA13Wvw1fXcnXRUpavWcOVQwbrnUoIh1disZJfbCHfbCG/qIT8Igt55pKycXlFJRQUnfdotlBQXILFWvGpwW5ORrxcnfB2M+Ht6oS3mxOhvm60CvTAx82pkfdO2CMpuIQ4T4c+V1O86SFCrWmcPphMYESk3pGEEDbMo8MgUgKH0Pr0Spz/fB3LoEEYDZresYSwSUopzCVWzMVWCootFBZbyj1eON5K4dnn548rnddSWkgVWcg3lxZV+UUl5BVZKCppvKPNAR7OtAr0IDbMl0va+NOrtT++7s6Ntn1hH+yi4FqzZg2vv/46W7ZsIS0tjUWLFjFy5Ei9Y4kmKMA/gB3OXYgu3s7BTT9JwSWEuKjm1z0Ps1cyuPhP1q1fx8B+A/SOJGzE6Jl/4eTqoXcMXSjAXGKhsMhCYYmVgiILhSUWGrN/GaNBw93ZiLuzEQ9nE25nH91djGfHm/BwNuLmbMLd2YjJeOGXJUpBYbGF7IJicgpLyC4sJjO/mMMZ+ZzMMZOeV0R6XhFbDmby6Z8paBpEhfgwslso13UNIdDTpfF2WNgsuyi48vLyiI2N5a677mL06NF6xxFNXFboQEjdjlPKH8DjescRQtg49/BY9voPpn3GKqyrX0f17Y+myVEuAXuO52BwsegdwyYZDRpuTkZcnQy4OhlxdTJW+tzt7PP/jS+dp6yAcjbi7mK6oLhyMRka9L2Yay4h9XQe+0/lsjk1gw0HMth3MpcdR7PYcTSLaYuTubRTEBOGtCM23LfBcgjbZxcF1/Dhwxk+fLjeMYSDCOp2NaTOoF3eVooKC3B2ddM7khDCxjW/ZgrMW8VA8xo2xW+gd88+ekcSNuDD2+Pw8PTSO4ZuXEz/K5bKiilnI64mI05Gze6/mPB0MREV6kNUqA/XdQ0F4GROIct2Hue7hKNsO3yG33ad4LddJxgaGcT/DetIZLC3zqmFHuyi4Kops9mM2Wwue56dna1jGmFv2kVdwqlFfjTTMkna/BtdBlyndyTRSKTtELXl3SaOv30H0OHMWswrXoOei/SOJBpRZW1H/3aBeHvLB2xHEuTlyu19WnF7n1bsPZHDh6sPsGjrEX5PPsnKPaf418A2/Oey9rg6GfWOKhpRk+wWftq0afj4+JQN4eHhekcSdsRwfvfwO5fonEY0Jmk7RF0EXP0sAP0KVrJ9+xad04jGJG2HqEj75l68cUMsv08exFXRLbBYFR+s2s/V764lOU2+0HMkTbLgevLJJ8nKyiobDh8+rHckYWdMHYcB0OKUdA/vSKTtEHUR0L43u70uwagpMle8q3cc0Yik7RBVadPMkw9ujePD2+II9HRh/6k8Rn3wF4t3pOkdTTSSJnlKoYuLCy4u0iuMqL22fUZg2TiZVtbDHDv4NyERHfSOJBqBtB2irtwGPgi/bqDHmSWcOHGC5s2b6x1JNAJpOxqBUlBihpLCajyeP1RjmeICsBSDsgKq9FGpsz+f9+jsAS7e4OIFrt6lP7t6g3coBLQF/7alzytxZVQLerf2Z9LXW1m37zQPfJnAo1d0ZMKQdo31KgqdNMmCS4i68vFrxm7nSDoV7+Lgxh8JiXhU70hCCDsQ0WM4h5a1omVJKvGL36f5XS/oHUnoae1b4OGqdwobca5gqqw4Ml+8SLIHni0goB2EdIU2QyCiT2mhdpafhzNz7+rJq0t288m6FF5ftgdzsYWHL+9g952IiMrZRcGVm5vLvn37yp6npKSQmJiIv78/LVu21DGZaMqywgZDyi5cUv4ApOASQlSDpnEm+h5abn2W9ge/wlz0NC7OcuTDYa17A1zkQ3T908DkCk6upY8ml2o8up33vIJ5jE6gGUDTStdf7uezv8OiPDBnQ2F26aM5Bwqz4MxhSN8HeSch93jpcHAdrJ8BRmcI7w0dh0PszeDuj8lo4JlrOtPMy4VpS3bz7h/7UMD/Deuo42sqGpJdFFzx8fEMGTKk7PnkyZMBGDduHHPnztUplWjqmne/BlI+oGN+AoWFBbhK9/BCiGqIvOIezmx9jRBOsWn5V/S6+i69Iwm9dLsN3KXgLlOt4si18qKoXHFkg4VsYVZp4XXqbzj4JxxYBVmHIXVt6fD789DleuhxN4T34l+D2uJsMvD8z7t47499BHm7cvslEXrvhWgAdlFwDR48GNWYtyYXAojocgkZC33w17LYtmk5sQOv1TuSEMIOOLl68Hf4WHod/hTPxFkgBZfjuvJVkG7hHYerD4TGlQ5dby697ivjAOxbAVs/h+PbYfs3pUObITDsJe7qF0V2QQlv/f43U3/cSYiPK5dFyrWfTU2T7KVQiPqgGYyk+JbevDQvaanOaYQQ9qTtVQ9Rogx0Lk7iwK5NescRQuhB00o70+h9H/xrDdz7B3S9rfQ0wwMr4aMB8NMk/tPHj5t7hWNV8NA3iaScztM7uahnUnAJUQVjh8sB6R5eCFEzAcER7PDsC8CplR/pnEYIoTtNg7A4GPk+TNxcemqhskLCPLSZ/XgxJp0eEX7kmEv41+fx5BeV6J1Y1CMpuISoQptLrsWiNNpYD3Ls4F694wgh7Iih590ARJ5aTGF+js5phBA2w68VjJ0Ld/8GzTpB7nFMX1zPZy0X08LTxN8ncnnp12S9U4p6JAWXEFXw9g9in3MnAA5t+knnNEIIexI1YCTHCMKbfHb9Pk/vOEIIW9OyN4xfCXF3AQqPze+xuMXHuGLmq42H+H3XCb0TinoiBZcQF3EmZCAAzil/6JxECGFPjEYjB1qOAcBz5+c6pxFC2CRndxjxNoz5FIwu+B/5nd8D3sCXHJ74fjtZ+cV6JxT1QAouIS4isNs1AHTI20KR2U5uvCiEsAltr7ifYmWkQ1Eyx/bE6x1HCGGrokbDHT+Cqy9heTv53v0VinMzmL5st97JRD2QgkuIi2gd3Y8MvPHUCtgbv0LvOEIIOxIcGkGie2lvp2l/fKhzGiGETYvoA3cvA88WtLEeZK7za/y4cQ9bDmbqnUzUkRRcQlyEwWjkgHdvAHJ2LtE5jRDC7sTdCUCHE79SUpirbxYhhG0L6gR3/ABufnQz7ONjpzeZ+n0CxRar3slEHUjBJUR1tC/tHj7o5Fqdgwgh7E3soOs5QhBe5LN7hVzLJYS4iKBIuG0hytmTfsYkbkp/n0/XpeidStSBFFxCVEOb3iOwKo02llROHZVGTwhRfc5OJvaGjQbAdbv0ViiEqIbQOLQxn6LQuM20ghMr3udUjlnvVKKWpOASohr8g0LY69QBgNSNP+qcRghhb1oNvY9iZaSdeRen9yfoHUcIYQ86XAFDnwPgSW0uC3/8Xt88otak4BKimjJaDADAdEA6zhBC1EzrVm3Y4lraecax3z/QOY0Qwl5o/R4kPeJqnDQLV+99lgOHj+odSdSCFFxCVJNv16sBaJe7mZIiOawvhKiZ4u53AtAm7Ves0nmGEKI6NI2Am2dy0hRMuHaKjG/+DUrpnUrUkBRcZ6WnpxMUFERqaqreUepkzJgxvPnmm3rHaJI6dBtEBl54UcC+BDnKJYSomZ5DRnKI5niSz99/fKZ3HCGEvXD1wXzdLIqVkR55q9m76ku9E4kakoLrrGnTpjFixAhatWrF0qVL0TStymHJksq7B6/r8nUxZcoUXn75ZbKzs+t1vWvWrGHEiBGEhISgaRo//PDDBfM899xzF+xnixYt6jWHnoxGI/u8LgEga7t0Dy+EqBlXZyd2h44p/XmbFFxCiOoLjx7AmhZ3ANBs7dOo/AydE4makIILKCgoYPbs2dx7770ADBo0iLS0tLIhICCAp556qty4yy+/vNL11XX5uoiJiaFVq1Z8+WX9fvuRl5dHbGwsM2bMqHK+Ll26lNvPHTt21GsOval2QwEIOrFG5yRCCHvU9vL7MCsTrcx7yNi7Ue84Qgg70uWG59mrwvC1nuHkt5P1jiNqQAouYMmSJZhMJvr0Kb2g2c3NjRYtWtCiRQssFgvp6en079+/bFyLFi0wmUyVrq+uy9fV9u+eLwAALApJREFUtddey9dff12v6xw+fDgvvfQSo0aNqnI+k8lUbj+bNWtWrzn01rbPdViVRmtLKqePHdA7jhDCzrRt1YpNbv0BSFsxU+c0Qgh70iLAh9WdpmBVGs1TFqH2Ltc7kqgmKbgoPV2uR48eFU7bunUrAHFxcbVad12Xr41evXqxadMmzObG79hh7969hISE0Lp1a2666SYOHGhaRUlgUDB/O3UEIHXDTzqnEULYI2vcXQC0Pr4Ea0GWzmmEEPbk2quv4zM1HADzov+AOUfnRKI6pOACUlNTCQkJqXBaQkICoaGhBAUF1WrddV2+NkJDQzGbzRw/frzRtgnQu3dv5s2bx7Jly5g1axbHjx+nb9++pKenN2qOhpYePAgA04HfdU4ihLBHvQddw35CcaeQfSs+1TuOEMKOBHm7cjLuEQ5Zm+Gafwy1+jW9I4lqkIKL0mu4XF1dK5yWkJBA9+7da73uui5/PovFUq353NzcAMjPz79gWkUdW/xziI+Pr1W+4cOHM3r0aKKjoxk6dCi//vorAJ991rQuDvfvehUA7XLjKSkq1DmNEMLeuDqb+DustPMMt+3zpItnIUSN3H1pFC+rewBQG2bC6X06JxIXIwUXEBgYSGZmZoXTEhIS6nQ6YGXLz5o1i+joaGJjY3niiScAmD59OlFRUURHR5d1epGamkpsbCzjx4+nW7dumM1m5syZQ69evYiJiWHKlCkXrDsjo7Tnmoqun5o4cSLJyclVDlFRUbXe3/N5eHgQHR3N3r1762V9tqJD1wGk44MnBezfIt3DCyFqrv2w8RQqJ8KLDpCxZ53ecYQQdqSZlwut+o7kD0tXDNZi1LKn9I4kLqLhem6wI926deOLL764YHx6ejqHDx+u9RGqypbfvn077777LuvWrcPHx4eMjAzi4+NZsGAB8fHx5Ofn07NnT4YMGQJAUlISn3/+ObNmzWLXrl0sXryY9evXo2ka1113HevXry/r8ANg586dhIWFERgYeEGmwMDACsc3BLPZTHJyMgMGDGiU7TUWo9HIPu/eBGT/RtaOxdDnar0jCSHsTLuW4axwG8Jlhb9xevmb+HdqWu2kEKJh/WtgW25dP44BagdOe5fB3uXQvmF6wBZ1J0e4gCuuuIKkpKQLjnJt2bIFoNYFV2XLr1q1ihtvvBEfHx8A/P39WbduHaNHj8bV1RV/f38uu+wyNm/eDECHDh2IiYkBYMWKFaxfv564uDi6d+9OcnIy+/fvL7f+tWvXMmzYsFplrkxubi6JiYkkJiYCkJKSQmJiIocOHSqb55FHHmH16tWkpKSwceNGxowZQ3Z2NuPGjavXLLZAtSt9fYNOrNU5iRDCXjn1nwhA2/SVmE/uv8jcQgjxP/4ezgzu25c5lisBUEufhJIinVOJykjBBURHR9OjRw8WLFhQbvzWrVsJCgoiNDT0gmXmzp2LpmlVrreq5S9GKVW2fnd393Lj77vvvrLiZ9++fdx2221l0wsLC1m0aBHjx4+v8TarEh8fT7du3ejWrRsAkydPplu3buVOaTxy5Ag333wzHTt2ZNSoUTg7O7NhwwYiIiLqNYstaNfnWkqUgVaWg5w8mKx3HCGEHerbZwAbDd0wokj59b96xxFC2Jn7BrRhtmEMp5Q3Wvpe2PSx3pFEJaTgOuvZZ5/lnXfewWq1lo17/PHHOXHiRIXzp6amMmjQoCrXWdnyl156KfPnzycrq7Q74IyMDPr378/333+P2WwmMzOTlStX0rNnz0qXPXc07siRI+V6AZw9eza9e/fmkksuufhO18DgwYNRSl0wzJ07t2yeb775hmPHjlFUVMTRo0dZuHAhnTt3rtcctiKwWXOSXGIBOLT2K53TCCHskcloIDP2PgAiDn6PNa/ia4mFEKIifh7OjOnXmddKbgJArZ4OuSd1TiUqIgXXWVdddRX/+te/OHr0aLXmX7ZsGa+9VruuOKOionjwwQfp168fXbt25fXXX6dHjx6MHTuWuLg4Bg4cyPPPP09wcHCFyz7++OMMHjyY6OhobrjhBvLy8sqmOzk58d5779Uql6iZnLbXAOCf+qvOSYQQ9qr/FWPZQwRuFHJgmbTdQoiaubd/G5aaLmW7tTWaORtWvKB3JFEBTamm3x9tdnY2Pj4+ZGVl4e3trXcc0UQcP36EwJnRmDQrJ+9aT1BE0zyaZy8a4n0ubcf/t3fvcVHV6R/APweYAYb7RQ1FERUVRDCQVVG8bKWh6U9Rs82fqRm/FC3L2rI0zfK+2dVas9C0zV3vWq7akje8iyCaqCy6IKYmYnKHgZn5/v5gnRwBuc1wZobP+/U6rzzfc5nnCc7DPHMuQ01h17oP8FTm+8iz8YD77AuAUlX7RmQ0rB1k6T74MR3HDu7GNvt3ISBBevEQ4BMqd1hWrz7HOc9wETXQI4/44rx9DwBAduJ38gZDRBYrfHgsrokWcNfdRdaej+UOh4gszAtR/shQBmGHNhISBLBnNr/fz8yw4SJqhOKA/wEAtM7cCqGr2xdTExHdz8fTDaf9Kh905Jn6V4iyfJkjIiJL4q5SYnLf9lha8SeUwR7IPgakbZc7LLoPGy6iRggePAkFQoXWupu4fHKX3OEQkYXqGzMd/xGt4SoKkLlrhdzhEJGFmdKvA4odWuGLiuGVAwnzgIpSeYMiPTZcZBVGjRoFDw8PjBkzpklf183NHWe9ogEAZcf4OFYiapiW7s4412kaAKBV2lfQFeXKHBERWRI3lQLP9/XHau0w3JJaAPnXgGN8EI+5YMNFVuHll1/G+vXrZXlt74FTAQDdCo7iRsYZWWIgIsvXf9T/4aJoDydRgqyNf5Y7HCKyMM/384e9ozPeV1c+Jh6HPwTyf5E3KALAhousxKBBg+Di4iLLaweG/AGnHfvCRhK4/cO7ssRARJbP09kB/w6v/DL5Dte2oeDfR2WOiIgsiZujAi8/FoBdut44g0BAUwr89K7cYRHYcDVriYmJGD58OFq3bg1JkrBjxw6D5UuWLEFERARcXFzQsmVLjBw5Eunp6fIEa+achrwDnZAQWnAQ6ce+lzscIrJQQ4eNwo/KxwEAhdtmAlqNzBERkSWZ0NsP7b2cMFf9vxCQgJ83A9kn5Q6r2WPD1YwVFxcjNDQUK1eurHb5oUOHMH36dJw4cQIJCQnQaDQYPHiwwRctN5Xw8HAEBwdXmW7cuNHksVQnsEcfHPcaCQBwS3gNhb/9Km9A9VRRUQEHBwe0atUKWu3vT1vcvXs3WrZs2ah9q9VqxMbGwt/fHy4uLujatSvWrFljsI6zs7PBpFAoEBISol8+adIkKJVKg3WOHz/eqLiIzJHC1gatYpYiTzihTVkGru58X+6QHsqUtQOo/divbXlFRQVmzJgBT09PeHp64qWXXoJGwyaWrJfSzgazowORJvyxRTewcnDXq4C2Qta4qiNn/ajtfceVK1cQHR0NDw8PtGnTBsuXL29ULGy4AOzduxeOjo4GRfjixYuQJAm5udZ743J0dDQWLlyImJiYapfv3bsXkyZNQrdu3RAaGoq1a9ciOzsbycnJ1a4/cOBAvPTSS3jllVfg4eGBVq1aYfXq1SguLsbkyZPh4uKCjh07Ys+ePVW23bJlC7p37w5HR0d4eXnh8ccfN2jskpOTcf78+SpT69atjfM/wwiCn/sIv6AVHhE5+OXLsSgvK5E7pDpLS0uDTqeDk5MTDh8+rB9PSUlBeHh4o/at0Wjg4+ODn376CQUFBfjmm2/w2muv4V//+pd+naKiIoMpMDAQzzzzjMF+4uLiDNbp06dPo+IiMlc9ugYgwe81AIDvuU9x91KizBHVzJS1457ajv2HLV+4cCGOHDmCtLQ0pKWl4fDhw1i8eLFR4iIyV0O6tcIf2ntiSfk4FNm4AjlpwNFP5A6rCjnrx8Ped2i1WowYMQJhYWHIycnB/v37sXLlSmzYsKHBcbDhApCamopu3brBzs7OYKxNmzbw9vY22esuXry4Sof94HT/L6Dc8vMrvxvG09OzxnXWrVsHb29vnDp1Ci+99BKmTZuGsWPHIjIyEikpKRgyZAgmTJiAkpLfm5GbN2/iT3/6E55//nlcvHgRBw8eRExMDISFfWmfm7sHSkf/DUXCEYHqc/j3x0+hrKRI7rDqJCUlBUFBQRg3bhy2bNmiH09OTm500XNycsJ7772Hjh07QpIk9O7dG4MGDcKRI0eqXf/UqVO4cOECJk2a1KjXJbJkT/3vK/hJMRC20EGz+QXoiu7IHVK1TFk7jGHNmjWYO3cufHx84OPjgzlz5iA+Pl7usIhMSpIkLPifbiiwccM7ZeMrBw8tB+5ckTewB5hL/XjwfUd6ejrS09Mxf/58KBQKdOnSBVOmTMHq1Q1/GjUbLgBnz55Fjx49DMbOnDmD0NBQk77u1KlTkZqa+tCpZ8+eJo2hroQQmDVrFvr164fg4OAa1wsNDcXcuXMREBCAt956C46OjvD29kZsbCwCAgIwb9483LlzB+fOndNvc/PmTWg0GsTExKB9+/bo3r074uLi4OzsXOf4hgwZgrFjx2L37t3w9fVFUlJSo/JtqIDuf8B/nvgKxcIewWXJ+M/H0Sj4LUeWWOojJSUFYWFhGD16NLZv365vdpOTkxEWFmawblxcHNzd3Wucamqk7ikrK8OpU6cMTt3fLz4+HtHR0VXOXq5fvx6enp7o1q0bVqxYAZ1O14iMicybo9IW7Z/7K7JFS7TQ3kL2l2MATbncYVXRFLWjtmO/puV3797FL7/8YvD3vUePHsjOztZ/gEhkrQJ9XDF1QEds1/XDCSkU0KqBHdPM6r5Qc6gfQNX3HffWuf+Df51OZ/Detd5EM5Cfny8AiPz8/GqXd+3aVXz66acGY0888YR46623Gv3a169fF88++2yj91OT+fPnCwAPnZKSkmrdDwCxffv2GpfHxcUJPz8/ce3atRrXGTBggIiLizMYa9eunVi+fLl+XqfTCQBi586d+jGNRiMee+wx4eLiIsaMGSNWr14tfvvtt1pjNmdpx/eKwnmthJjvKq6920VcvXha7pAeqk+fPuKzzz4TQgjh5+cnjhw5Im7fvi0AiKysLKO9jk6nE+PHjxcDBw4UWq22yvLi4mLh6uoqduzYYTCenJwscnJyhEajEcePHxdt27YVH374ocE6tR3nDWGKfRLVx76D+0XhvJZCzHcV//5yghA6ndwhGTB17ajt2H/Y8uzsbAFA3L59W79+Tk6OAGDwt4y1g6xVablGDPrggOg7e60oWeAjxHxXIQ4skTssPbnrhxDVv+8oLy8XnTp1Em+88YYoKysT58+fF76+vsLW1tZg2/oc583+DFdpaSkyMjIMPgHT6XRISUmp8xmu+2/0e1Dr1q3x3XffVbvMGJcUzpgxAxcvXnzo9LAzUnXx0ksv4fvvv8eBAwfg6+v70HUVCoXBvCRJBmOSJAGAwScMtra2SEhIwJ49exAUFITPPvsMXbp0QWZmZqPillNQ7yG4OWYnbqIFfMVN+Pz9CZz+5E9I2rQMSbu/wfmT+1Bebh43sGq1Wpw9e1b/aVJMTAy2bt2K5ORkeHl5wc/PzyivI4TAtGnTkJ6ejh07dsDGpmr52bRpE1QqFYYNG2YwHhYWhhYtWsDW1ha9e/fG7NmzsXHjRqPERWTO/jhgEA52XwqtkBBwYycurZ0KmMnl1k1RO2o79h+2/N5VEvefzbr3b7m+RoSoKTkobLF8dAhuoAVml02sHDy0DMg+IW9gMI/6AVT/vkOhUOD7779HamoqfH19MX78eEyePBleXl4NjqXZN1xXrlyBVqtFly5d9GM//vgj7ty5g9DQUGRlZSEkJATPPvssgoOD8cILL0Cr1SIrKwuhoaGIjY3Fo48+CrVajWXLliE4OBjdu3fXN1lZWVk1XhZojEsKvb290bVr14dODg4ODfp/I4TAjBkzsG3bNuzfvx/+/v4N2k9dSJKEvn37YsGCBThz5gyUSiW2b99ustdrCgHde0Ex7SBSHHpBIWnR8+5uRFxYjIhTMxG8Jwa5i4OQeniX3GHi0qVLKCsr03/AMHr0aGzduhWnT5+uckofqPy9re+HBEIITJ8+HadOncK//vUvuLm5VRvL119/jYkTJxrcT1md6po1Ims1bPQk7PKfA52Q0DX7Hzi/Js4smq6mqB0Pqu3Yv3+5h4cHfH19kZqaqh9LTU1F27Zta6xBRNamZ3tPvDa4C3bq+mGnrh8gdMCm54D867LGZS71o6b3HYGBgfjxxx9x+/ZtpKamQq1WY8CAAQ3MFryk8MaNG0KSJPHDDz8IIYQ4fvy46NChg3B0dBQajUZkZmYKSZLE6dOnhU6nEyNGjBAbN24UmZmZwtbWVpw9e1YIIURSUpIICwsTpaWl4s6dO6JDhw7i+vXrIjMzU4SHhzdpvnVVWFgozpw5I86cOSMAiA8//FCcOXNGXL16VQghxLRp04Sbm5s4ePCguHnzpn4qKSmpdn8DBgwQM2fONBjz8/MTH330kcEYHrh88cSJE2LRokUiKSlJXL16VWzatEkolUqxe/duY6YrG51OJ1KP/FMcXRkrkpcNFekLe4n8+ZWn9tXzPERq4veyxrd+/XoRGBion9fpdMLHx0d06NBBzJ492yivERcXJ0JCQkRubm6N61y6dElIkiTS09OrLNu4caPIz88XOp1OJCUlCT8/P4NLVYXgZUFk3XQ6ndi9blnlJUHzXUXqx2NFubpU1piaonbUduzXtvydd94Rjz76qP7v16OPPioWLFhg8BqsHWTttFqdeH7tKRH05mZx+d3gyjqyqr8Q6mLZYjKH+vGw9x1nz54VRUVFQq1Wi61btwpvb2/9e/576nOcN/uGSwghFi5cKDw8PETbtm3FhAkTxJtvvil69uwphBAiMzNTBAQE6Nf97rvvxMyZM0VmZqbBL8pHH30kFi1apJ+PjY0VO3bsMOuG68CBA9Xe8zVx4kQhhKjxnrC1a9dWu7+GNlwXLlwQQ4YMES1atBD29vaic+fO+mt6rVVpUb5IXT5UiPmu4vb8diI354Zssbzyyiti/PjxBmNxcXECgNi0aVOj95+VlSUACHt7e+Hk5KSfXnzxRYP1/vznP4v+/ftXu4+oqCjh5uYmnJycROfOncWyZcuq3APGN01k7XQ6ndi3YYWomOcuxHxXcX5RlLibmyNbPKauHULUfuzXtry8vFzExcUJd3d34e7uLqZPny4qKioMXoO1g5qDvOLy/97PtUbcne9b2XSt+x8hyuX54MYc6sfD3nfMmTNHeHh4CJVKJfr06SOOHDlSZZ36HOeSEGZwXYKJFRQUwM3NDfn5+XB1da3XtllZWRgyZAjS09MBABs2bEBSUhJmzpyJMWPG4PTp0wCAjz/+GCUlJXj77bcBALGxsRg+fDhCQkIM1iO6p6y0GLf+0gt+ums46fIEer22pfaNqEaNOc6bcp9EjXV632YEJs6Ak1SGX/AI7gxbjdCIRlzq0syxdlBzcTO/FE9/eRwt7p7F3+yXQoUyoNPjwNh1gH3dnwxNlepznPNGiDrIyMhASkoKhBDYvHkzIiMjq6zTr18/bNu2DWq1Gnfv3sWBAwcQEREhQ7RkKRwcnaAZvhI6IaFXYQJSDu6QOyQisgA9HxuLnLE78avUEr74FV13jcbebxahrNx8HvdMRObHx80RG17ojVtuoZis/jNKoQQu/wSsjZb9ni5rx4arDkJCQrBy5Up0794dnp6eiImJqbJOz549MXbsWISHh6N///5YsGABfHx8APz+ZD6iB3V8dCBSWo0GAHgfmo2iYsv4omQikpd/cG+4vnIMF1z6wl6qwJNZy3F22RM4kZwid2hEZMbaeqqwc0ZfaNtFYrz6beQKV+DXc9B9EQmc22wWD+SxRmy46sDOzg5r1qzB+fPnER8fD1tbW7Rv377KZYJvvvkmzp8/j59//hnjx1d+s3dubi48PDzkCJssRLf//QC5kgfaiZs4/e07codDRBZC5dYCQbP+iUshb6IcduilTUHI90/ihw9fRGr6ZbnDIyIz5e1sj+9ieyGi/5OIKX8PqboOsFHnAdteQMlf/whkJrLxMjKLabi++OIL+Pv7w8HBAeHh4XV6/KPczp07h2eeeQbTp0+XOxQyY46uHrjddwEAoN/Nb3By7Rs4uulD/BQ/F4e/fQ+3b2bLHCERmS1JQteYt1Hxf0dw1eVRqCQ1hhf8A503ROLg4hHYt+VLXPtPOsR9331IRGRvZ4u3ogPxWdworPD9DCsqxqBE2EOVkwKsG47cZSG4smUebl84DF1FudzhWjyLeGjGxo0bMWHCBHzxxRfo27cvvvzyS3z99de4cOEC2rVrV+v2vHmVzJ4QSP7kGYTn7a2yqEA44XzvvyAyenw1mwkUl2vhpLSFpNMAtooq6zQXvPGdmj0hcOv0dmj2LUabsgyDRaWwR6GdJ8odvAGVFyQHN9g4ukKrdEOFwhnldi6osHGETqeFRqOBukKDCk0FNFpAI9nB0VEFTx9/+AeFQ+ViXVdtsHYQASf/cwfbElMQcmU1RtocgpOk1i8rEwrcsG2NXEVrVChcIeydIZQusFE6QqF0gJ3SEUoHFZQOjnBwUMHB0QmOLu5w9GwDO9dHrPaBHPU5zi2i4erVqxfCwsLw17/+VT8WGBiIkSNHYsmSJbVuz8JHlkCj0eDk1o/gmPUTFJKAsHeDa0E62muvAgD2eT6DwBGz4NHSF0XlAieu3MK2o2nwunUE/2f/EzrrrkDr2wuIiIXUdSgkO3tAqnoSW39PoZXdW8g3TUT/JQTyr5zEjcPfwv76CbStyIRC0hpt97/YtMEdtyBUuHeEcHCHjcoDtioPOLt7w82zJVzcvWHj6A5JAiSdBhpNBQpLSlBSXAydugRKBxXsnT2g1uqgvnsDCk0RnJR2cHRvCYVrS5RpgdLCPJQU3IHCXgUPbx84qGp/wyY18AvRWTuIfpdXUo6jaVkoPbsVLX5NRPeKc/CUGnd/eTEccNfGE8UKL5TZewMOrii3UUFt4wg1FCgXttDaKOGsUsHV2QlOLu5wcfOApHBEaYUWhaXlKCitgEarhZ2NgASgQqOFwlaCs8cjcH3EHy28PCEgIa9Ei9ySckCrgasScLWX4KwQkHQaFBUXQyrLh4PKCY6uLWDj6Fb5RdDackCnAbQVgK4CUDoBChVgYwepmvdR9xQUFMDN3d06Gq7y8nKoVCps3rwZo0aN0o/PnDkTqampOHToUJVt1Go11OrfO/P8/Hy0a9cO165dY+Eji6IpL8PFv72O7rd2GHfHY9YCAU8Yd58yKygoQNu2bZGXlwc3N7cG7YO1g6xRWWkJ0i//G7duXENh7nWUFv4GG3UB7CqKoBIlcEEJnFACB6ghYAPJxlY/2UoCdtBAVJTCrfwWWuCu3OlUK6nl04iY8mGDtmXtIKpZhUaDm1fTUfrrZWjvXkNFST50ZQUQ5UXQacqBijJAq4akKYekVcNGVw47UQ5nUYQWUj6cJOu9HLFA0RJt379St9pR3y8Ra2rXr18XAMTRo0cNxhctWiQ6d+5c7Tbz58+v8Ut7OXHiZN3TtWvXGlxvWDs4cWq+E2sHJ06cGjLVpXaY/RmuGzduoE2bNjh27Bj69OmjH1+0aBG+/fZbXLp0qco2D37SlJeXBz8/P2RnZzf40ysAiIiIQFJSUqPWq2nZg+N1nb/333uf0DX20zRzybG6f5t7jnUZe1iO+/btM0p+tcVe1/UakmNt+Rorx+riEEKgsLAQrVu3hk0DLy1i7TC/4+phOVQ3z9rB2lHfuFk76jdvKcfVw3Kobp61g7WjvnHXp3bYNfiVm4i3tzdsbW3x66+/Gozn5OSgVatW1W5jb28Pe3v7KuNubm6N+p9ta2tbp+0ftl5Nyx4cr+v8g+Ourq5WkWNN/wbMN8e6jNUlx8bmV1vsdV2vITnWNV9T/Qwb88YGYO2whhxZO1g7GhI3awdrB2sHa0dD4q5r7TD7x8IrlUqEh4cjISHBYDwhIQGRkZFNGktdH+/+sPVqWvbgeF3njf3IeXPJsaZ/G4OpcqzLmLXnWNd8G8vSvmrBXI6r++ct5XeuuvHmdlw9OG+NObJ2VM9cjqv75y3ld6668eZ2XD04b405WkrtMPtLCoHfHwu/atUq9OnTB6tXr8ZXX32FtLQ0+Pn51bp9c3haEHO0fNaeH2B5OVpavA3BHC2ftecHWF6OlhZvQzBHy2ft+QHmk6PZX1IIAOPGjcOdO3fw3nvv4ebNmwgODsbu3bvr1GwBlaf658+fX+3pfmvBHC2ftecHWF6OlhZvQzBHy2ft+QGWl6OlxdsQzNHyWXt+gPnkaBFnuIiIiIiIiCyR2d/DRUREREREZKnYcBEREREREZkIGy4iIiIiIiITYcNFRERERERkImy4iIiIiIiITKTZN1yFhYWIiIhAjx490L17d3z11Vdyh2QSJSUl8PPzw+uvvy53KCZhZ2eHHj16oEePHnjhhRfkDsckMjMzMWjQIAQFBaF79+4oLi6WOySjSk9P1/8Me/ToAUdHR+zYsUPusGrE2mEdWDssH2uHeWLtsHysHcbT7B8Lr9VqoVaroVKpUFJSguDgYCQlJcHLy0vu0Ixqzpw5yMjIQLt27fDBBx/IHY7ReXt7Izc3V+4wTGrAgAFYuHAhoqKi8Ntvv8HV1RV2dhbxVXr1VlRUhPbt2+Pq1atwcnKSO5xqsXZYB9YO68LaYT5YOywfa4fxNPszXLa2tlCpVACAsrIyaLVaWFsPmpGRgUuXLmHo0KFyh0INlJaWBoVCgaioKACAp6en1RY9APj+++/x2GOPme0bJoC1gywDa4f5Ye0gS8DaYVwW33AlJiZi+PDhaN26NSRJqvZU4BdffAF/f384ODggPDwchw8fNliel5eH0NBQ+Pr64o033oC3t3cTRV87Y+T3+uuvY8mSJU0Ucf0ZI8eCggKEh4ejX79+OHToUBNFXneNzTEjIwPOzs4YMWIEwsLCsHjx4iaMvm6M8XO8Z9OmTRg3bpzZx8vaIS/WjkqsHb9j7Wg81o5KrB2sHcZk8Q1XcXExQkNDsXLlymqXb9y4Ea+88grmzJmDM2fOICoqCtHR0cjOztav4+7ujrNnzyIzMxMbNmzArVu3mir8WjU2v507d6Jz587o3LlzU4ZdL8b4GWZlZSE5ORmrVq3Cc889h4KCgqYKv04am2NFRQUOHz6Mzz//HMePH0dCQgISEhKaMoVaGePnCFT+ETt69KjJPxll7WDtAFg7zAFrB2tHU2PtYO24X5PUDmFFAIjt27cbjP3hD38QU6dONRjr2rWrmD17drX7mDp1qti0aZOpQmyUhuQ3e/Zs4evrK/z8/ISXl5dwdXUVCxYsaKqQ680YP8Mnn3xSJCUlmSrERmtIjseOHRNDhgzRL1u+fLlYvny5yWNtqMb8HNevXy/Gjx9v6hANsHZUYu1g7ZAba4d5Ye34HWsHa0djWPwZrocpLy9HcnIyBg8ebDA+ePBgHDt2DABw69Yt/acSBQUFSExMRJcuXZo81oaoS35LlizBtWvXkJWVhQ8++ACxsbGYN2+eHOE2SF1yvHv3LtRqNQDgl19+wYULF9ChQ4cmj7Wh6pJjREQEbt26hbt370Kn0yExMRGBgYFyhNsgdcnxnqa4JKg2rB2sHZaAtYO1o6mxdrB2WApzqx3We/cbgNzcXGi1WrRq1cpgvFWrVvj1118BVB4oU6ZMgRACQgjMmDEDISEhcoRbb3XJz9LVJceLFy/ixRdfhI2NDSRJwieffAJPT085wm2QuuRoZ2eHxYsXo3///hBCYPDgwXjqqafkCLdB6vq7mp+fj1OnTmHr1q1NHaIB1g7Lx9rB2iEH1g7Lx9rB2mEKVt1w3SNJksG8EEI/Fh4ejtTUVBmiMp6H5Xe/SZMmNVFExvewHCMjI/Hzzz/LEZZR1fZzjI6ORnR0dFOHZVS15ejm5mZW9zKwdlRi7TBvrB2sHU2NtYO1w1KYS+2w6ksKvb29YWtrW+VTl5ycnCodryWy9vwA5sgc5WFp8daXtecHMEfmKA9Li7e+rD0/gDkyR9Ow6oZLqVQiPDy8ylNVEhISEBkZKVNUxmPt+QHMkTnKw9LirS9rzw9gjsxRHpYWb31Ze34Ac2SOpmHxlxQWFRXh8uXL+vnMzEykpqbC09MT7dq1w6xZszBhwgT07NkTffr0werVq5GdnY2pU6fKGHXdWXt+AHNkjvLkaGnx1pe15wcwR+bI2mEK1p4fwByZoww5mvQZiE3gwIEDAkCVaeLEifp1Pv/8c+Hn5yeUSqUICwsThw4dki/gerL2/IRgjvcwR8ZrTNaenxDM8R7myHiNydrzE4I53sMcm44khBAN7NWIiIiIiIjoIaz6Hi4iIiIiIiI5seEiIiIiIiIyETZcREREREREJsKGi4iIiIiIyETYcBEREREREZkIGy4iIiIiIiITYcNFRERERERkImy4iIiIiIiITIQNFxERERERkYmw4SIiIiIiIjIRNlxEREREREQmwoaLiIiIiIjIRNhwERERERERmQgbLiIioiagVqsxefJktG3bFq6urujduzeOHTsmd1hERGRibLiIiIiagEajgb+/P44ePYq8vDxMmzYNI0aMQElJidyhERGRCUlCCCF3EERERM2Rp6cnDhw4gNDQULlDISIiE+EZLiIiMopPP/0UkiQhODhY7lBqNGnSJEiSVCXOd999F5IkITc3t8liuXTpEkpLS9GxY0f92I4dO/TxSZKE06dPN1k8RERkGmy4iIjIKNasWQMASEtLw8mTJ2WOpmaPPPIIjh8/jg0bNsgWQ0lJCSZMmIC5c+fC2dlZPz5gwAAcP34cc+fOlS02IiIyLjZcRETUaKdPn8bZs2cxbNgwAEB8fHydtpPj/iV7e3v07t0bISEhTf7aAFBRUYGnn34aQUFBePvttw2WeXh4oHfv3gZnvYiIyLKx4SIioka712AtXboUkZGR+Mc//lGlmbp32V5KSgrGjBkDDw8Pg8YiIyMDzz77LFq2bAl7e3sEBgbi888/N9jH5cuXMXnyZAQEBEClUqFNmzYYPnw4fv75Z6PndOnSJXTo0AG9evVCTk6OQQ7nzp3D2LFj4ebmBk9PT8yaNQsajQbp6el48skn4eLigvbt22P58uUG+9TpdHjuuedga2uL+Ph4SJJk9LiJiMi8sOEiIqJGKS0txd///ndEREQgODgYzz//PAoLC7F58+Zq14+JiUGnTp2wefNmrFq1CgBw4cIFRERE4Pz581ixYgV27dqFYcOG4eWXX8aCBQv02964cQNeXl5YunQp9u7di88//xx2dnbo1asX0tPTjZbToUOHEBkZiZCQEBw4cAAtW7Y0WP70008jNDQUW7duRWxsLD766CO8+uqrGDlyJIYNG4bt27fjj3/8I958801s27ZNv92LL76ImzdvYuPGjbCzszNavEREZMYEERFRI6xfv14AEKtWrRJCCFFYWCicnZ1FVFSUwXrz588XAMS8efOq7GPIkCHC19dX5OfnG4zPmDFDODg4iN9++63a19ZoNKK8vFwEBASIV199tdZYJ06cKPz8/KqM34vt9u3b4ttvvxVKpVK8/PLLQqvVVrveihUrDMZ79OghAIht27bpxyoqKkSLFi1ETEyMEEKIrKwsAUA4ODgIJycn/ZSYmFglnrVr1woAIikpqdaciIjIvPEMFxERNUp8fDwcHR3xzDPPAACcnZ0xduxYHD58GBkZGVXWHz16tMF8WVkZ9u3bh1GjRkGlUkGj0einoUOHoqysDCdOnABQ+V1WixcvRlBQEJRKJezs7KBUKpGRkYGLFy82OpdFixZh0qRJWLp0KT755BPY2FT/Z/Kpp54ymA8MDIQkSYiOjtaP2dnZoVOnTrh69SoAwM/PD0IIlJaWoqioSD9FRUU1Om4iIjJfbLiIiKjBLl++jMTERAwbNgxCCOTl5SEvLw9jxowB8PuTC+/n4+NjMH/nzh1oNBp89tlnUCgUBtPQoUMBQP+49lmzZuGdd97ByJEj8cMPP+DkyZNISkpCaGgoSktLG53P3/72N7Rp00bfPNbE09PTYF6pVEKlUsHBwaHKeFlZWaPjIiIiy8ULyImIqMHWrFkDIQS2bNmCLVu2VFm+bt06LFy4ELa2tvqxBx8U4eHhAVtbW0yYMAHTp0+v9nX8/f0BVDZEzz33HBYvXmywPDc3F+7u7o3MBti7dy/GjRuHqKgo7Nu3D35+fo3eJxERNW9suIiIqEG0Wi3WrVuHjh074uuvv66yfNeuXVixYgX27NlT5RK8+6lUKgwaNAhnzpxBSEgIlEpljetKkgR7e3uDsX/+85+4fv06OnXq1PBk/svPzw+HDx/G448/rm+6AgICGr1fIiJqvthwERFRg+zZswc3btzAsmXLMHDgwCrLg4ODsXLlSsTHxz+04QKATz75BP369UNUVBSmTZuG9u3bo7CwEJcvX8YPP/yA/fv3A6i8d+qbb75B165dERISguTkZPzlL3+Br6+v0fLy8fHBoUOHMGTIEPTv3x8JCQkIDg422v6JiKh5YcNFREQNEh8fD6VSicmTJ1e73NvbG6NGjcKWLVtw69ath+4rKCgIKSkpeP/99zF37lzk5OTA3d0dAQEB+vu4gMrGTKFQYMmSJSgqKkJYWBi2bduGuXPnGjU3b29v7N+/H8OGDcOAAQPw448/omfPnkZ9DSIiah4kIYSQOwgiIqKmMGnSJBw8eBCXL1+GJEkG95aZAyEEtFot1q9fjylTpiApKYmNHhGRheNTComIqFm5evUqFAoFQkND5Q6lip07d0KhUGDKlClyh0JEREbCM1xERNRsZGVl6R8x7+joiG7duskckaG8vDxcvnxZPx8UFASVSiVjRERE1FhsuIiIiIiIiEyElxQSERERERGZCBsuIiIiIiIiE2HDRUREREREZCJsuIiIiIiIiEyEDRcREREREZGJsOEiIiIiIiIyETZcREREREREJsKGi4iIiIiIyETYcBEREREREZkIGy4iIiIiIiIT+X81xIySWWgUcAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# Area dist\n", - "\n", "m = len(projs)\n", "n = 3\n", "assert m * n == len(cases)\n", @@ -441,12 +1678,16 @@ " ax.text(xt, yt - 0.09, l2, size=10, ha=\"left\", va=\"top\", transform=ax.transAxes)\n", " \n", " ax.set_ylabel(\"\")\n", - " ax.text(0.02, 0.97, f\"{a}\", size=12, weight=\"bold\", ha=\"left\", va=\"top\", transform=ax.transAxes)\n", + " ax.text(0.02, 0.97, f\"{a}\",\n", + " size=12, weight=\"bold\",\n", + " ha=\"left\", va=\"top\",\n", + " transform=ax.transAxes,\n", + " )\n", " if a == \"c\":\n", " ax.legend(loc=\"center right\")\n", "\n", - "fig.supylabel(\"Density\", x=-0.03)\n", "fig.supxlabel(\"Area [km$^2$]\")\n", + "fig.supylabel(\"Density\", x=-0.03)\n", "\n", "# ax.set_xlim(xmin=0)\n", "ax.set_xlim(xmin=1000); ax.set_xscale(\"log\")\n", @@ -455,9 +1696,23 @@ "fig.savefig(\"mpas-tracking-options-area-kde.pdf\", bbox_inches=\"tight\", pad_inches=0.05, transparent=False)" ] }, + { + "cell_type": "markdown", + "id": "97950c28-898f-49ba-8e46-02cfb4717771", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "### Plot 2-D duration and area dist" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "ff1289bc-13fc-4980-b95f-2593a42aa392", "metadata": { "editable": true, @@ -466,10 +1721,19 @@ }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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geometryarea_km2inds219area219_km2cs219mean_cttmin_cttmean_prtimeitimedtimemcs_id
0POLYGON ((152.50000 8.93176, 154.09671 11.1250...65189.730096[1, 2, 3, 4]7632.145729MULTIPOLYGON (((154.00000 11.33169, 154.00332 ...223.781916199.4676362.1749532006-09-08 13:00:0000 days 01:00:000
1POLYGON ((105.00000 20.86816, 105.04808 20.875...43468.589233[8]11043.783834MULTIPOLYGON (((105.00000 21.04446, 105.25000 ...217.004782196.39923.2376742006-09-08 13:00:0000 days 01:00:001
2POLYGON ((103.75000 0.07912, 103.83888 0.12500...98642.412303[9, 10, 11]38699.492801MULTIPOLYGON (((103.25000 1.66696, 103.28213 1...216.819586195.9091493.0985992006-09-08 13:00:0000 days 01:00:002
\n", + "
" + ], + "text/plain": [ + " geometry area_km2 \\\n", + "0 POLYGON ((152.50000 8.93176, 154.09671 11.1250... 65189.730096 \n", + "1 POLYGON ((105.00000 20.86816, 105.04808 20.875... 43468.589233 \n", + "2 POLYGON ((103.75000 0.07912, 103.83888 0.12500... 98642.412303 \n", + "\n", + " inds219 area219_km2 \\\n", + "0 [1, 2, 3, 4] 7632.145729 \n", + "1 [8] 11043.783834 \n", + "2 [9, 10, 11] 38699.492801 \n", + "\n", + " cs219 mean_ctt min_ctt \\\n", + "0 MULTIPOLYGON (((154.00000 11.33169, 154.00332 ... 223.781916 199.467636 \n", + "1 MULTIPOLYGON (((105.00000 21.04446, 105.25000 ... 217.004782 196.3992 \n", + "2 MULTIPOLYGON (((103.25000 1.66696, 103.28213 1... 216.819586 195.909149 \n", + "\n", + " mean_pr time itime dtime mcs_id \n", + "0 2.174953 2006-09-08 13:00:00 0 0 days 01:00:00 0 \n", + "1 3.237674 2006-09-08 13:00:00 0 0 days 01:00:00 1 \n", + "2 3.098599 2006-09-08 13:00:00 0 0 days 01:00:00 2 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "list(cases.values())[0].head(3)" ] }, + { + "cell_type": "markdown", + "id": "aa535e57-1b99-4706-bc54-6b3c88b5ccb8", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "### Plot 2-D CTT and precip dist" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "8402b7e1-6035-4a6c-be6d-1922f198d51f", "metadata": { "editable": true, @@ -543,10 +1948,19 @@ }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# 2-D dist: min Tb and avg precip\n", - "\n", "m = len(projs)\n", "n = 3\n", "assert m * n == len(cases)\n", @@ -562,27 +1976,42 @@ "\n", " ax.plot(tb, pr, \".\", ms=5, mec=\"none\", mfc=\"0.35\", alpha=0.9)\n", " \n", - " sns.kdeplot(x=\"min_ctt\", y=\"mean_pr\", fill=False, color=sns.color_palette()[0], alpha=0.6, common_norm=True, clip=(0, None), ax=ax, data=data)\n", + " sns.kdeplot(x=\"min_ctt\", y=\"mean_pr\",\n", + " fill=False, color=sns.color_palette()[0], alpha=0.6,\n", + " common_norm=True, clip=(0, None),\n", + " ax=ax, data=data,\n", + " )\n", " \n", - " ax.text(0.99, 0.03, f\"$N={n}$\", size=9, ha=\"right\", va=\"bottom\",\n", - " path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")],\n", - " transform=ax.transAxes)\n", + " ax.text(0.99, 0.03, f\"$N={n}$\",\n", + " size=9,\n", + " ha=\"right\", va=\"bottom\",\n", + " path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")],\n", + " transform=ax.transAxes,\n", + " )\n", " \n", " i = key.index(\", $u_\")\n", " l1, l2 = key[:i], key[i+2:]\n", " xt, yt = 0.09, 0.975\n", - " kws = dict(size=10, ha=\"left\", va=\"top\", transform=ax.transAxes, path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")])\n", + " kws = dict(\n", + " size=10,\n", + " ha=\"left\", va=\"top\",\n", + " path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")],\n", + " transform=ax.transAxes,\n", + " )\n", " ax.text(xt, yt, l1, **kws)\n", " ax.text(xt, yt - 0.09, l2, **kws)\n", " \n", " ax.set_xlabel(\"\")\n", " ax.set_ylabel(\"\")\n", - " ax.text(0.02, 0.97, f\"{a}\", size=12, weight=\"bold\", ha=\"left\", va=\"top\", transform=ax.transAxes,\n", + " ax.text(0.02, 0.97, f\"{a}\",\n", + " size=12, weight=\"bold\",\n", + " ha=\"left\", va=\"top\",\n", " path_effects=[path_effects.withStroke(linewidth=1.5, foreground=\"w\")],\n", + " transform=ax.transAxes,\n", " )\n", "\n", - "fig.supylabel(\"Average precipitation rate [mm h$^{-1}$]\", x=-0.03)\n", "fig.supxlabel(\"Minimum CTT [K]\")\n", + "fig.supylabel(\"Average precipitation rate [mm h$^{-1}$]\", x=-0.03)\n", "\n", "ax.set_xlim(xmin=185, xmax=230)\n", "ax.set_ylim(ymin=0, ymax=4.5)\n", diff --git a/docs/index.md b/docs/index.md index 205951f..71b00b0 100644 --- a/docs/index.md +++ b/docs/index.md @@ -15,6 +15,7 @@ The original TAMS is described in {cite:t}`TAMS1.0`. examples/sample-satellite-data.ipynb examples/tams-run.ipynb +examples/tracking-options.ipynb ``` ```{toctree} From 2d2f3dcfb856ab85f846e7617d5bd44818b6c6f4 Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 22 Dec 2023 15:14:08 -0700 Subject: [PATCH 16/23] Clean up --- docs/examples/tams-run.ipynb | 24 +++--------------------- 1 file changed, 3 insertions(+), 21 deletions(-) diff --git a/docs/examples/tams-run.ipynb b/docs/examples/tams-run.ipynb index 6601171..c217d90 100644 --- a/docs/examples/tams-run.ipynb +++ b/docs/examples/tams-run.ipynb @@ -3,13 +3,7 @@ { "cell_type": "markdown", "id": "6922ca63-d1a4-43f7-8fc2-68e6851984c4", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, + "metadata": {}, "source": [ "# {func}`tams.run`\n", "\n", @@ -28,13 +22,7 @@ "cell_type": "code", "execution_count": null, "id": "3206baa9-1b54-4376-ba90-e465fefaa967", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, + "metadata": {}, "outputs": [], "source": [ "import xarray as xr\n", @@ -72,13 +60,7 @@ "cell_type": "code", "execution_count": null, "id": "9357c333-56fa-4e6e-9199-4e9b43725c4d", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, + "metadata": {}, "outputs": [], "source": [ "ds = tams.load_example_mpas().rename({\"tb\": \"ctt\", \"precip\": \"pr\"}).isel(time=slice(1, 20))\n", From 1080a593f4dceb38e6e6e5a525bee730f5e3d8b0 Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 22 Dec 2023 15:32:22 -0700 Subject: [PATCH 17/23] See-also for `tams.run` --- tams/core.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/tams/core.py b/tams/core.py index 9d89420..314bd15 100644 --- a/tams/core.py +++ b/tams/core.py @@ -761,7 +761,7 @@ def run( ctt_threshold: float = 235, ctt_core_threshold: float = 219, ) -> tuple[geopandas.GeoDataFrame, geopandas.GeoDataFrame, geopandas.GeoDataFrame]: - r"""Run all TAMS steps, including precip. + r"""Run all TAMS steps, including precip assignment. .. important:: `ds` must have ``'ctt'`` (cloud-top temperature) and ``'pr'`` (precip rate) variables. @@ -788,6 +788,12 @@ def run( This is used to determine whether or not a system is eligible for being classified as an organized system. It helps target raining clouds. + + See Also + -------- + tams.identify + tams.track + tams.classify """ import itertools From af4d8d0328eae86ece570f04675e21d6e5d269c2 Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 2 Feb 2024 15:40:38 -0700 Subject: [PATCH 18/23] Document `plot_tracked` options --- tams/util.py | 27 ++++++++++++++++++++++++++- 1 file changed, 26 insertions(+), 1 deletion(-) diff --git a/tams/util.py b/tams/util.py index 1e2ffc7..2f06a5f 100644 --- a/tams/util.py +++ b/tams/util.py @@ -41,7 +41,32 @@ def plot_tracked( ax: matplotlib.axes.Axes | None = None, size: float = 4, ): - """Plot CEs at a range of times (colors) with CE group ID (MCS ID) identified.""" + """Plot CEs at a range of times (colors) with CE group ID (MCS ID) identified. + + Parameters + ---------- + cs + Tracked CEs (with MCS ID column). + alpha + Alpha applied when plotting the CEs. + background : {"map", "countries", "none"} + "map" uses Mercator projection Cartopy's stock image. + "countries" uses Mercator projection and adds Cartopy coastlines and country borders. + "none" plots without projection or background. + This setting is only relevant if `ax` is not provided. + label : {"id", "none"} + "id": label each CE with its MCS ID. + add_colorbar + Add colorbar with time info. + cbar_kwargs + Keyword arguments to pass to ``plt.colorbar``. + ax + Axes to plot on. If not provided, a new figure is created. + The figure size used is ``(size * aspect, size)``, + where `aspect` is estimated using the ``total_bounds`` of `cs`. + size + Height of the figure (in inches) if `ax` is not provided. + """ import matplotlib.pyplot as plt import pandas as pd From 5610b3369726e0862c5ea8080f5898fb47797a2e Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 2 Feb 2024 15:45:15 -0700 Subject: [PATCH 19/23] Add aspect option --- tams/util.py | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/tams/util.py b/tams/util.py index 2f06a5f..ef0082e 100644 --- a/tams/util.py +++ b/tams/util.py @@ -40,6 +40,7 @@ def plot_tracked( cbar_kwargs: dict | None = None, ax: matplotlib.axes.Axes | None = None, size: float = 4, + aspect: float | None = None, ): """Plot CEs at a range of times (colors) with CE group ID (MCS ID) identified. @@ -62,10 +63,12 @@ def plot_tracked( Keyword arguments to pass to ``plt.colorbar``. ax Axes to plot on. If not provided, a new figure is created. - The figure size used is ``(size * aspect, size)``, - where `aspect` is estimated using the ``total_bounds`` of `cs`. + The figure size used is ``(size * aspect, size)``. size Height of the figure (in inches) if `ax` is not provided. + aspect + Figure width : height. + If not provided, it is estimated using the ``total_bounds`` of `cs`. """ import matplotlib.pyplot as plt @@ -80,10 +83,12 @@ def plot_tracked( if label not in valid_labels: raise ValueError(f"`label` must be one of {valid_labels}") - x0, y0, x1, y1 = cs.total_bounds - aspect = (x1 - x0) / (y1 - y0) - # ^ estimate for controlling figure size like in xarray - # https://xarray.pydata.org/en/stable/user-guide/plotting.html#controlling-the-figure-size + if aspect is None: + # TODO: maybe better to use `.envelope` + x0, y0, x1, y1 = cs.total_bounds + aspect = (x1 - x0) / (y1 - y0) + # ^ estimate for controlling figure size like in xarray + # https://xarray.pydata.org/en/stable/user-guide/plotting.html#controlling-the-figure-size blob_kwargs = dict(alpha=alpha, lw=1.5) text_kwargs = dict( From 0f1f3a022e12c79cdc4216c0092af2dc38d70d1d Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 2 Feb 2024 15:47:04 -0700 Subject: [PATCH 20/23] doc --- tams/util.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tams/util.py b/tams/util.py index ef0082e..50e0cf6 100644 --- a/tams/util.py +++ b/tams/util.py @@ -57,6 +57,7 @@ def plot_tracked( This setting is only relevant if `ax` is not provided. label : {"id", "none"} "id": label each CE with its MCS ID. + "none": don't label CEs. add_colorbar Add colorbar with time info. cbar_kwargs From 17f9fae94d5843c7557b041208f28273bb23c1db Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 2 Feb 2024 16:00:56 -0700 Subject: [PATCH 21/23] Error on nb execution failure --- docs/conf.py | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/conf.py b/docs/conf.py index 0a9d8c4..62a4b26 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -75,6 +75,7 @@ nb_execution_excludepatterns = exclude_patterns + [ "examples/tracking-options.ipynb", ] +nb_execution_raise_on_error = True myst_enable_extensions = [ "dollarmath", From 0af04421556c67f3a684416efec6170819907477 Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 2 Feb 2024 16:01:41 -0700 Subject: [PATCH 22/23] Fewer times for `tams.run` nb In RTD, it failed after 17 / 13.2 s of the gridded data aggregation step --- docs/examples/tams-run.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/examples/tams-run.ipynb b/docs/examples/tams-run.ipynb index c217d90..96239b5 100644 --- a/docs/examples/tams-run.ipynb +++ b/docs/examples/tams-run.ipynb @@ -63,7 +63,7 @@ "metadata": {}, "outputs": [], "source": [ - "ds = tams.load_example_mpas().rename({\"tb\": \"ctt\", \"precip\": \"pr\"}).isel(time=slice(1, 20))\n", + "ds = tams.load_example_mpas().rename({\"tb\": \"ctt\", \"precip\": \"pr\"}).isel(time=slice(1, 13))\n", "ds" ] }, From ef553921cc267815ccb8473a183a0f03cf76b31d Mon Sep 17 00:00:00 2001 From: zmoon Date: Fri, 2 Feb 2024 16:28:36 -0700 Subject: [PATCH 23/23] Ignore Cartopy download warning --- docs/examples/sample-satellite-data.ipynb | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/docs/examples/sample-satellite-data.ipynb b/docs/examples/sample-satellite-data.ipynb index 40a423f..4716866 100644 --- a/docs/examples/sample-satellite-data.ipynb +++ b/docs/examples/sample-satellite-data.ipynb @@ -17,11 +17,14 @@ "source": [ "import warnings\n", "\n", + "import cartopy\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import xarray as xr\n", "\n", - "import tams" + "import tams\n", + "\n", + "warnings.filterwarnings(\"ignore\", category=cartopy.io.DownloadWarning)" ] }, {