From 31fbd9fc5d3e472e160575c6413e9b6ca9c306ff Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Wed, 4 Nov 2020 12:09:37 +0100 Subject: [PATCH 01/25] Reproduce Fig 9 from paper Matrix Profile XV Consensus Motifs This uses the mtDNA example. Ostinato transcribed from table 2 in paper. Performance is really slow. Related to #278 --- docs/Tutorial_Consensus_Motif.ipynb | 294 ++++++++++++++++++++++++++++ 1 file changed, 294 insertions(+) create mode 100644 docs/Tutorial_Consensus_Motif.ipynb diff --git a/docs/Tutorial_Consensus_Motif.ipynb b/docs/Tutorial_Consensus_Motif.ipynb new file mode 100644 index 000000000..71f6a2091 --- /dev/null +++ b/docs/Tutorial_Consensus_Motif.ipynb @@ -0,0 +1,294 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "\n", + "import pandas as pd\n", + "import stumpy\n", + "import numpy as np\n", + "import numpy.testing as npt\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.patches import Rectangle\n", + "import urllib\n", + "import ssl\n", + "import io\n", + "import os\n", + "import time\n", + "import zipfile\n", + "from scipy.io import loadmat\n", + "from tqdm import trange, tqdm\n", + "from collections import OrderedDict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Naive transcription of table 2 in paper." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def ostinato(tss, m):\n", + " bsf_rad, ts_ind, ss_ind = np.inf, 0, 0\n", + " k = len(tss)\n", + " for j in trange(k, desc='time series'):\n", + " if j < (k - 1):\n", + " h = j + 1\n", + " else:\n", + " h = 0\n", + " \n", + " mp = stumpy.stump(tss[j], m, tss[h], ignore_trivial=False)\n", + " si = np.argsort(mp[:, 0])\n", + " for q in si:\n", + " rad = mp[q, 0]\n", + " if rad >= bsf_rad:\n", + " break\n", + " for i in range(k):\n", + " if ~np.isin(i, [j, h]):\n", + " rad = np.max((\n", + " rad, \n", + " np.min(stumpy.core.mass_absolute(tss[j][q:q+m], tss[i]))\n", + " ))\n", + " if rad >= bsf_rad:\n", + " break\n", + " if rad < bsf_rad:\n", + " bsf_rad, ts_ind, ss_ind = rad, j, q\n", + " \n", + " return bsf_rad, ts_ind, ss_ind" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def dataset_mt_dna():\n", + " context = ssl.SSLContext() # Ignore SSL certificate verification for simplicity\n", + " T_url = 'https://sites.google.com/site/consensusmotifs/dna.zip?attredirects=0&d=1'\n", + " T_raw_bytes = urllib.request.urlopen(T_url, context=context).read()\n", + " T_data = io.BytesIO(T_raw_bytes)\n", + " T_zipfile = zipfile.ZipFile(T_data)\n", + " animals = ['python', 'hippo', 'red_flying_fox', 'alpaca']\n", + " dna = []\n", + " for a in animals:\n", + " with T_zipfile.open(f'dna/data/{a}.mat') as f:\n", + " dna.append((a, loadmat(f)['ts'].flatten().astype(float)))\n", + " return OrderedDict(dna)\n", + "\n", + "data = dataset_mt_dna()\n", + "colors = {'python': 'tab:blue', 'hippo': 'tab:green', 'red_flying_fox': 'tab:purple', 'alpaca': 'tab:red'}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Clustering obtained from using majority of mtDNA sequences. The paper says that they truncated to 16000 data points but to reproduce the sequences in Fig. 9 left they need to be truncated to 15000.\n", + "\n", + "To reproduce the clustering the standardised euclidean distance has to be used." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'standardised euclidean distance')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from scipy.cluster.hierarchy import linkage, dendrogram\n", + "from scipy.special import comb\n", + "from itertools import combinations\n", + "\n", + "fig, ax = plt.subplots(ncols=2, figsize=(12,6))\n", + "\n", + "# sequences in Fig 9 left\n", + "truncate = 15000\n", + "for k, v in data.items():\n", + " ax[0].plot(v[:truncate], label=k, color=colors[k])\n", + "ax[0].legend()\n", + "\n", + "# clustering in Fig 9 left\n", + "truncate = 16000\n", + "dp = np.zeros(int(comb(4, 2)))\n", + "for i, a_c in enumerate(combinations(data.keys(), 2)):\n", + " dp[i] = stumpy.core.mass(data[a_c[0]][:truncate], data[a_c[1]][:truncate])\n", + "Z = linkage(dp, optimal_ordering=True)\n", + "dendrogram(Z, labels=[k for k in data.keys()], ax=ax[1])\n", + "ax[1].set_ylabel('standardised euclidean distance')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "time series: 100%|██████████| 4/4 [25:07<00:00, 376.89s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best radius 389.56642565806413 found in time series 2 at index 46\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "m = 1000\n", + "rad, ts_ind, ss_ind = ostinato([v for v in data.values()], m)\n", + "print(f'Best radius {rad} found in time series {ts_ind} at index {ss_ind}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get the consensus motifs and perform clustering on them." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'icoord': [[25.0, 25.0, 35.0, 35.0],\n", + " [15.0, 15.0, 30.0, 30.0],\n", + " [5.0, 5.0, 22.5, 22.5]],\n", + " 'dcoord': [[0.0, 2.0073187443276947, 2.0073187443276947, 0.0],\n", + " [0.0, 3.788856527663464, 3.788856527663464, 2.0073187443276947],\n", + " [0.0, 4.0141646771949935, 4.0141646771949935, 3.788856527663464]],\n", + " 'ivl': ['python', 'red_flying_fox', 'hippo', 'alpaca'],\n", + " 'leaves': [0, 2, 1, 3],\n", + " 'color_list': ['C1', 'C0', 'C0']}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "consensus_motifs = OrderedDict()\n", + "best_motif = list(data.items())[ts_ind][1][ss_ind:ss_ind+m]\n", + "for i, (k, v) in enumerate(data.items()):\n", + " if i == ts_ind:\n", + " consensus_motifs[k] = best_motif\n", + " else:\n", + " ind = np.argmin(stumpy.core.mass(best_motif, v))\n", + " consensus_motifs[k] = v[ind:ind+m]\n", + "\n", + " \n", + "fig, ax = plt.subplots(ncols=2, figsize=(12, 6))\n", + "# plot the consensus motifs\n", + "for animal, motif in consensus_motifs.items():\n", + " ax[0].plot(motif, label=animal, color=colors[animal])\n", + "ax[0].legend()\n", + "# cluster consensus motifs\n", + "dp = np.zeros(int(comb(4, 2)))\n", + "for i, motif in enumerate(combinations(list(consensus_motifs.values()), 2)):\n", + " dp[i] = stumpy.core.mass(motif[0], motif[1])\n", + "Z = linkage(dp, optimal_ordering=True)\n", + "dendrogram(Z, labels=[k for k in consensus_motifs.keys()])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Load electrical demand sample dataset. Segment data into roughly 44 hour time series.\n", + "def dataset_electrical_demand():\n", + " context = ssl.SSLContext() # Ignore SSL certificate verification for simplicity\n", + " T_url = 'https://sites.google.com/site/consensusmotifs/ElectricalDemand.zip?attredirects=0&d=1'\n", + " T_raw_bytes = urllib.request.urlopen(T_url, context=context).read()\n", + " T_data = io.BytesIO(T_raw_bytes)\n", + " T_zipfile = zipfile.ZipFile(T_data)\n", + " with T_zipfile.open('ElectricalDemand/ElectricalDemandSample_Data.mat') as f:\n", + " T_mat = loadmat(f)\n", + " data = T_mat['house1'].flatten()\n", + " return data[19999:159999].reshape((7, -1)).astype(float)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 9bfd6bccaa5e756e22f5b56fa5c5d411c61fd7eb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Wed, 4 Nov 2020 17:32:10 +0100 Subject: [PATCH 02/25] Faster implementation of Ostinato --- docs/Tutorial_Consensus_Motif.ipynb | 286 +++++++++++++++++++--------- 1 file changed, 191 insertions(+), 95 deletions(-) diff --git a/docs/Tutorial_Consensus_Motif.ipynb b/docs/Tutorial_Consensus_Motif.ipynb index 71f6a2091..5571d5340 100644 --- a/docs/Tutorial_Consensus_Motif.ipynb +++ b/docs/Tutorial_Consensus_Motif.ipynb @@ -8,12 +8,9 @@ "source": [ "%matplotlib inline\n", "\n", - "import pandas as pd\n", "import stumpy\n", "import numpy as np\n", - "import numpy.testing as npt\n", "import matplotlib.pyplot as plt\n", - "from matplotlib.patches import Rectangle\n", "import urllib\n", "import ssl\n", "import io\n", @@ -21,15 +18,16 @@ "import time\n", "import zipfile\n", "from scipy.io import loadmat\n", - "from tqdm import trange, tqdm\n", - "from collections import OrderedDict" + "from scipy.cluster.hierarchy import linkage, dendrogram\n", + "from scipy.special import comb\n", + "from itertools import combinations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Naive transcription of table 2 in paper." + "Ostinato using pre-computed FFTs. Functions `rolling_window`, `moving_average` and `moving_std` were copied verbatim, `find_nearest` heavily inspired by `massv2` of mass-ts toolbox." ] }, { @@ -38,33 +36,160 @@ "metadata": {}, "outputs": [], "source": [ - "def ostinato(tss, m):\n", - " bsf_rad, ts_ind, ss_ind = np.inf, 0, 0\n", - " k = len(tss)\n", - " for j in trange(k, desc='time series'):\n", - " if j < (k - 1):\n", - " h = j + 1\n", - " else:\n", - " h = 0\n", + "def nextpow2(x): \n", + " return np.ceil(np.log2(np.abs(x)))\n", + "\n", + "\n", + "def rolling_window(a, window):\n", + " \"\"\"\n", + " Provides a rolling window on a numpy array given an array and window size.\n", + " Parameters\n", + " ----------\n", + " a : array_like\n", + " The array to create a rolling window on.\n", + " window : int\n", + " The window size.\n", + " Returns\n", + " -------\n", + " Strided array for computation.\n", + " \"\"\"\n", + " shape = a.shape[:-1] + (a.shape[-1] - window + 1, window)\n", + " strides = a.strides + (a.strides[-1],)\n", + " \n", + " return np.lib.stride_tricks.as_strided(a, shape=shape, strides=strides)\n", + "\n", + "\n", + "def moving_average(a, window=3):\n", + " \"\"\"\n", + " Computes the moving average over an array given a window size.\n", + " Parameters\n", + " ----------\n", + " a : array_like\n", + " The array to compute the moving average on.\n", + " window : int\n", + " The window size.\n", + " Returns\n", + " -------\n", + " The moving average over the array.\n", + " \"\"\"\n", + " return np.mean(rolling_window(a, window), -1)\n", + "\n", + "\n", + "def moving_std(a, window=3):\n", + " \"\"\"\n", + " Computes the moving std. over an array given a window size.\n", + " Parameters\n", + " ----------\n", + " a : array_like\n", + " The array to compute the moving std. on.\n", + " window : int\n", + " The window size.\n", + " Returns\n", + " -------\n", + " The moving std. over the array.\n", + " \"\"\"\n", + " return np.std(rolling_window(a, window), -1)\n", + "\n", + "\n", + "\n", + "class ConsensusSearch():\n", + " def __init__(self, tss, m):\n", + " self.tss = tss\n", + " self.m = m\n", + " self.k = len(tss)\n", + " self.ffts = None\n", + " self._compute_ffts()\n", + " self.mus = None\n", + " self._compute_means()\n", + " self.sigmas = None\n", + " self._compute_sigmas()\n", + " self.bsf = 2 * np.sqrt(m)\n", + " self.ts_ind = 0\n", + " self.ss_ind = 0\n", " \n", - " mp = stumpy.stump(tss[j], m, tss[h], ignore_trivial=False)\n", - " si = np.argsort(mp[:, 0])\n", - " for q in si:\n", - " rad = mp[q, 0]\n", - " if rad >= bsf_rad:\n", - " break\n", - " for i in range(k):\n", - " if ~np.isin(i, [j, h]):\n", - " rad = np.max((\n", - " rad, \n", - " np.min(stumpy.core.mass_absolute(tss[j][q:q+m], tss[i]))\n", - " ))\n", - " if rad >= bsf_rad:\n", - " break\n", - " if rad < bsf_rad:\n", - " bsf_rad, ts_ind, ss_ind = rad, j, q\n", + " def _compute_ffts(self):\n", + " if self.ffts is None:\n", + " self.ffts = [np.fft.fft(ts, int(2**nextpow2(len(ts)))) for ts in self.tss]\n", " \n", - " return bsf_rad, ts_ind, ss_ind" + " def _compute_means(self):\n", + " if self.mus is None:\n", + " self.mus = []\n", + " for ts in self.tss:\n", + " mu = moving_average(ts, self.m)\n", + " mu = np.append(np.ones((1, len(ts) - len(mu))), mu)\n", + " self.mus.append(mu)\n", + " \n", + " def _compute_sigmas(self):\n", + " if self.sigmas is None:\n", + " self.sigmas = []\n", + " for ts in self.tss:\n", + " sigma = moving_std(ts, self.m)\n", + " sigma = np.append(np.zeros((1, len(ts) - len(sigma))), sigma)\n", + " self.sigmas.append(sigma)\n", + " \n", + " def solve(self):\n", + " for i_a in range(self.k):\n", + " if i_a < (self.k - 1):\n", + " i_b = i_a + 1\n", + " else:\n", + " i_b = 0\n", + " # AB join\n", + " mp = stumpy.stump(self.tss[i_a], self.m, self.tss[i_b], ignore_trivial=False)\n", + " # sort by distances\n", + " si = np.argsort(mp[:, 0])\n", + " for i_q in si:\n", + " rad = mp[i_q, 0]\n", + " # If the smallest distance in this AB join is greater than the\n", + " # best so far value, there is no chance of distances to other\n", + " # time-series' subsequences being smaller\n", + " if rad >= self.bsf:\n", + " break\n", + " query = self.tss[i_a][i_q:i_q+self.m]\n", + " \n", + " # loop over remaining time-series\n", + " for i in range(self.k):\n", + " if ~np.isin(i, [i_a, i_b]):\n", + " rad = np.max((\n", + " rad, \n", + " np.min(self.findnearest(i, query))))\n", + " # If the smallest distance to this remaining time-series\n", + " # is greater then the best so far value, checking the other\n", + " # remaining time-series won't find a better one\n", + " if rad >= self.bsf:\n", + " break\n", + " # update best so far value if better radius was found\n", + " if rad < self.bsf:\n", + " self.bsf = rad\n", + " self.ts_ind = i_a\n", + " self.ss_ind = i_q\n", + " \n", + " def findnearest(self, i, query):\n", + " m = self.m\n", + " n = len(self.tss[i])\n", + " meanx = self.mus[i]\n", + " sigmax = self.sigmas[i]\n", + " y = query\n", + " meany = np.mean(y)\n", + " sigmay = np.std(y)\n", + " \n", + " X = self.ffts[i]\n", + " Y = np.fft.fft(np.flip(y), len(X))\n", + " Y.resize(X.shape)\n", + " Z = X * Y\n", + " z = np.fft.ifft(Z)\n", + " \n", + " dist = 2 * (m - (z[m - 1:n] - m * meanx[m - 1:n] * meany) / \n", + " (sigmax[m - 1:n] * sigmay))\n", + " dist = np.abs(np.sqrt(dist))\n", + " \n", + " return dist" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Retrieve the mtDNA data." ] }, { @@ -73,20 +198,17 @@ "metadata": {}, "outputs": [], "source": [ - "def dataset_mt_dna():\n", - " context = ssl.SSLContext() # Ignore SSL certificate verification for simplicity\n", - " T_url = 'https://sites.google.com/site/consensusmotifs/dna.zip?attredirects=0&d=1'\n", - " T_raw_bytes = urllib.request.urlopen(T_url, context=context).read()\n", - " T_data = io.BytesIO(T_raw_bytes)\n", - " T_zipfile = zipfile.ZipFile(T_data)\n", - " animals = ['python', 'hippo', 'red_flying_fox', 'alpaca']\n", - " dna = []\n", - " for a in animals:\n", - " with T_zipfile.open(f'dna/data/{a}.mat') as f:\n", - " dna.append((a, loadmat(f)['ts'].flatten().astype(float)))\n", - " return OrderedDict(dna)\n", + "context = ssl.SSLContext() # Ignore SSL certificate verification for simplicity\n", + "T_url = 'https://sites.google.com/site/consensusmotifs/dna.zip?attredirects=0&d=1'\n", + "T_raw_bytes = urllib.request.urlopen(T_url, context=context).read()\n", + "T_data = io.BytesIO(T_raw_bytes)\n", + "T_zipfile = zipfile.ZipFile(T_data)\n", + "animals = ['python', 'hippo', 'red_flying_fox', 'alpaca']\n", + "data = {}\n", + "for a in animals:\n", + " with T_zipfile.open(f'dna/data/{a}.mat') as f:\n", + " data[a] = loadmat(f)['ts'].flatten().astype(float)\n", "\n", - "data = dataset_mt_dna()\n", "colors = {'python': 'tab:blue', 'hippo': 'tab:green', 'red_flying_fox': 'tab:purple', 'alpaca': 'tab:red'}" ] }, @@ -128,10 +250,6 @@ } ], "source": [ - "from scipy.cluster.hierarchy import linkage, dendrogram\n", - "from scipy.special import comb\n", - "from itertools import combinations\n", - "\n", "fig, ax = plt.subplots(ncols=2, figsize=(12,6))\n", "\n", "# sequences in Fig 9 left\n", @@ -150,37 +268,34 @@ "ax[1].set_ylabel('standardised euclidean distance')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Do the consensus motif search." + ] + }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "time series: 100%|██████████| 4/4 [25:07<00:00, 376.89s/it]" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "Best radius 389.56642565806413 found in time series 2 at index 46\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" + "16.176260709762573 s to find consensus sequence\n" ] } ], "source": [ "m = 1000\n", - "rad, ts_ind, ss_ind = ostinato([v for v in data.values()], m)\n", - "print(f'Best radius {rad} found in time series {ts_ind} at index {ss_ind}')" + "cs = ConsensusSearch([ts for ts in data.values()], m)\n", + "t = time.time()\n", + "cs.solve()\n", + "print(f'{time.time()-t} s to find consensus sequence')\n", + "ts_ind = cs.ts_ind\n", + "ss_ind = cs.ss_ind" ] }, { @@ -198,15 +313,15 @@ { "data": { "text/plain": [ - "{'icoord': [[25.0, 25.0, 35.0, 35.0],\n", - " [15.0, 15.0, 30.0, 30.0],\n", - " [5.0, 5.0, 22.5, 22.5]],\n", - " 'dcoord': [[0.0, 2.0073187443276947, 2.0073187443276947, 0.0],\n", - " [0.0, 3.788856527663464, 3.788856527663464, 2.0073187443276947],\n", - " [0.0, 4.0141646771949935, 4.0141646771949935, 3.788856527663464]],\n", - " 'ivl': ['python', 'red_flying_fox', 'hippo', 'alpaca'],\n", - " 'leaves': [0, 2, 1, 3],\n", - " 'color_list': ['C1', 'C0', 'C0']}" + "{'icoord': [[15.0, 15.0, 25.0, 25.0],\n", + " [20.0, 20.0, 35.0, 35.0],\n", + " [5.0, 5.0, 27.5, 27.5]],\n", + " 'dcoord': [[0.0, 2.0617336442321275, 2.0617336442321275, 0.0],\n", + " [2.0617336442321275, 2.3864893853904543, 2.3864893853904543, 0.0],\n", + " [0.0, 2.731288881859224, 2.731288881859224, 2.3864893853904543]],\n", + " 'ivl': ['python', 'alpaca', 'hippo', 'red_flying_fox'],\n", + " 'leaves': [0, 3, 1, 2],\n", + " 'color_list': ['C0', 'C0', 'C0']}" ] }, "execution_count": 6, @@ -215,7 +330,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -227,7 +342,7 @@ } ], "source": [ - "consensus_motifs = OrderedDict()\n", + "consensus_motifs = {}\n", "best_motif = list(data.items())[ts_ind][1][ss_ind:ss_ind+m]\n", "for i, (k, v) in enumerate(data.items()):\n", " if i == ts_ind:\n", @@ -249,25 +364,6 @@ "Z = linkage(dp, optimal_ordering=True)\n", "dendrogram(Z, labels=[k for k in consensus_motifs.keys()])" ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "# Load electrical demand sample dataset. Segment data into roughly 44 hour time series.\n", - "def dataset_electrical_demand():\n", - " context = ssl.SSLContext() # Ignore SSL certificate verification for simplicity\n", - " T_url = 'https://sites.google.com/site/consensusmotifs/ElectricalDemand.zip?attredirects=0&d=1'\n", - " T_raw_bytes = urllib.request.urlopen(T_url, context=context).read()\n", - " T_data = io.BytesIO(T_raw_bytes)\n", - " T_zipfile = zipfile.ZipFile(T_data)\n", - " with T_zipfile.open('ElectricalDemand/ElectricalDemandSample_Data.mat') as f:\n", - " T_mat = loadmat(f)\n", - " data = T_mat['house1'].flatten()\n", - " return data[19999:159999].reshape((7, -1)).astype(float)" - ] } ], "metadata": { From 2f1fe1924326b839e6f01bca867599273fce476c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Wed, 11 Nov 2020 11:38:33 +0100 Subject: [PATCH 03/25] Change from numpy.convolve to scipy.signal.convolve See #279. SciPy is faster for vectors with more than 500 elements. --- stumpy/core.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/stumpy/core.py b/stumpy/core.py index aaf00a977..769dd3ec2 100644 --- a/stumpy/core.py +++ b/stumpy/core.py @@ -4,6 +4,7 @@ import numpy as np from numba import njit, prange +from scipy.signal import convolve import tempfile import math @@ -265,7 +266,7 @@ def sliding_dot_product(Q, T): n = T.shape[0] m = Q.shape[0] Qr = np.flipud(Q) # Reverse/flip Q - QT = np.convolve(Qr, T) + QT = convolve(Qr, T) return QT.real[m - 1 : n] From 675f057391cf26eff6770d86cc3e8e4bde827938 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Thu, 12 Nov 2020 12:09:46 +0100 Subject: [PATCH 04/25] add test_ostinato --- tests/test_ostinato.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) create mode 100644 tests/test_ostinato.py diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py new file mode 100644 index 000000000..dd88ce51d --- /dev/null +++ b/tests/test_ostinato.py @@ -0,0 +1,14 @@ +import numpy as np +import numpy.testing as npt +import stumpy + +def test_ostinato(): + m = 50 + ts = [np.random.rand(n) for n in [64, 128, 256]] + + rad_naive, tsind_naive, ssind_naive = naive_consensus_search(ts, m) + rad_ostinato, tsind_ostinato, ssind_ostinato = stumpy.ostinato(ts, m) + + npt.assert_almost_equal(rad_naive, rad_ostinato) + npt.assert_almost_equal(tsind_naive, tsind_ostinato) + npt.assert_almost_equal(ssind_naive, ssind_ostinato) From b467e368c29e4ab45df35914d43831b5e3b7b0cc Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Thu, 12 Nov 2020 12:28:05 +0100 Subject: [PATCH 05/25] naive consensus search --- tests/test_ostinato.py | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index dd88ce51d..26fe5a951 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -2,6 +2,29 @@ import numpy.testing as npt import stumpy +def naive_consensus_search(ts, m): + k = len(ts) + + rad = np.inf + tsind = 0 + ssind = 0 + + for j in range(k): + radii = np.zeros(len(ts[j]) - m + 1) + for i in range(k): + if i != j: + mp = stumpy.stump(ts[j], m, ts[i], ignore_trivial=False) + radii = np.max((radii, mp[:, 0]), axis=0) + min_rad_index = np.argmin(radii) + min_rad = radii[min_rad_index] + if min_rad < rad: + rad = min_rad + tsind = i + ssind = min_rad_index + + return rad, tsind, ssind + + def test_ostinato(): m = 50 ts = [np.random.rand(n) for n in [64, 128, 256]] From 6315bec7469aeff799ec89c888b5483dc58dc877 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Thu, 12 Nov 2020 12:59:13 +0100 Subject: [PATCH 06/25] add ostinato function --- stumpy/__init__.py | 1 + stumpy/ostinato.py | 75 ++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 76 insertions(+) create mode 100644 stumpy/ostinato.py diff --git a/stumpy/__init__.py b/stumpy/__init__.py index 866314333..a75bde801 100644 --- a/stumpy/__init__.py +++ b/stumpy/__init__.py @@ -19,6 +19,7 @@ from .aampi import aampi # noqa: F401 from .chains import atsc, allc # noqa: F401 from .floss import floss, fluss, _nnmark, _iac, _cac, _rea # noqa: F401 +from .ostinato import ostinato # noqa: F401 from .scrump import scrump # noqa: F401 from .stumpi import stumpi # noqa: F401 from numba import cuda diff --git a/stumpy/ostinato.py b/stumpy/ostinato.py new file mode 100644 index 000000000..19868e4d5 --- /dev/null +++ b/stumpy/ostinato.py @@ -0,0 +1,75 @@ +import numpy as np +from . import core, stump + +def ostinato(tss, m): + """ + Find the consensus motif of multiple time series + + Parameters + ---------- + tss : list + List of time series for which to find the consensus motif + + m : int + Window size + + Returns + ------- + bsf_rad : float + Radius of the consensus motif + + ts_ind : int + Index of time series which contains the consensus motif + + ss_ind : int + Start index of consensus motif within the time series ts_ind + that contains it + + Notes + ----- + + + See Table 2 + """ + # Preprocess means and stddevs and handle np.nan/np.inf + Ts = [None] * len(tss) + M_Ts = [None] * len(tss) + Σ_Ts = [None] * len(tss) + for i, T in enumerate(tss): + Ts[i], M_Ts[i], Σ_Ts[i] = core.preprocess(T, m) + + bsf_rad, ts_ind, ss_ind = np.inf, 0, 0 + k = len(Ts) + for j in range(k): + if j < (k - 1): + h = j + 1 + else: + h = 0 + + mp = stump(Ts[j], m, Ts[h], ignore_trivial=False) + si = np.argsort(mp[:, 0]) + for q in si: + rad = mp[q, 0] + if rad >= bsf_rad: + break + for i in range(k): + if ~np.isin(i, [j, h]): + QT = core.sliding_dot_product(Ts[j][q:q+m], Ts[i]) + rad = np.max(( + rad, + np.min( + core._mass( + Ts[j][q:q+m], + Ts[i], + QT, + M_Ts[j][q], + Σ_Ts[j][q], + M_Ts[i], + Σ_Ts[i],)) + )) + if rad >= bsf_rad: + break + if rad < bsf_rad: + bsf_rad, ts_ind, ss_ind = rad, j, q + + return bsf_rad, ts_ind, ss_ind From 1778d0fb1456e345d9eae80045e04f51a22ccba3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Thu, 12 Nov 2020 14:39:38 +0100 Subject: [PATCH 07/25] Fix bug in naive implementation Bug had been copied from paper's pseudocode (table 1, line 8) --- tests/test_ostinato.py | 20 ++++++++++++++++++-- 1 file changed, 18 insertions(+), 2 deletions(-) diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index 26fe5a951..f2a68429d 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -1,8 +1,18 @@ import numpy as np import numpy.testing as npt import stumpy +import pytest def naive_consensus_search(ts, m): + """ + Brute force consensus motif from + + + See Table 1 + + Note that there is a bug in the pseudocode at line 8 where `i` should be `j`. + This implementation fixes it. + """ k = len(ts) rad = np.inf @@ -19,19 +29,25 @@ def naive_consensus_search(ts, m): min_rad = radii[min_rad_index] if min_rad < rad: rad = min_rad - tsind = i + tsind = j ssind = min_rad_index return rad, tsind, ssind -def test_ostinato(): +@pytest.mark.parametrize('seed', np.arange(100)) +def test_ostinato(seed): m = 50 + np.random.seed(seed) ts = [np.random.rand(n) for n in [64, 128, 256]] rad_naive, tsind_naive, ssind_naive = naive_consensus_search(ts, m) rad_ostinato, tsind_ostinato, ssind_ostinato = stumpy.ostinato(ts, m) npt.assert_almost_equal(rad_naive, rad_ostinato) + npt.assert_almost_equal( + ts[tsind_naive][ssind_naive:ssind_naive+m], + ts[tsind_ostinato][ssind_ostinato:ssind_ostinato+m], + ) npt.assert_almost_equal(tsind_naive, tsind_ostinato) npt.assert_almost_equal(ssind_naive, ssind_ostinato) From 520f1405604116ae74511b8564742e5b9ce3d4a3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Thu, 12 Nov 2020 14:52:20 +0100 Subject: [PATCH 08/25] test_ostinato: ignore DeprecationWarning Also remove trailing whitespaces in test.sh --- test.sh | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/test.sh b/test.sh index e9b44babd..da5fb9196 100755 --- a/test.sh +++ b/test.sh @@ -13,7 +13,7 @@ if [ $# -gt 0 ]; then else echo "Using default test_mode=\"all\"" fi -fi +fi ############### # Functions # @@ -63,11 +63,11 @@ test_unit() check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stump.py tests/test_mstump.py tests/test_scrump.py tests/test_stumpi.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_one_constant_subsequence.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_one_constant_subsequence.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_two_constant_subsequences.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_two_constant_subsequences.py check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_two_constant_subsequences_swap.py check_errs $? @@ -87,7 +87,7 @@ test_unit() check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_two_subsequences_nan_inf_A_B_join_swap.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_mstumped.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_mstumped.py check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_mstumped_one_subsequence_nan_self_join.py check_errs $? @@ -99,9 +99,9 @@ test_unit() check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_one_constant_subsequence.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_one_constant_subsequence.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_two_constant_subsequences.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_two_constant_subsequences.py check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_two_constant_subsequences_swap.py check_errs $? @@ -121,6 +121,8 @@ test_unit() check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_two_subsequences_nan_inf_A_B_join_swap.py check_errs $? + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_ostinato.py + check_errs $? } test_coverage() From cac801eecb5351ed159678401186c0a057cdb351 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Fri, 13 Nov 2020 15:20:57 +0100 Subject: [PATCH 09/25] Notebook: add EOG data, polish mtDNA, some more explantory text --- docs/Tutorial_Consensus_Motif.ipynb | 594 +++++++++++++++++++--------- 1 file changed, 407 insertions(+), 187 deletions(-) diff --git a/docs/Tutorial_Consensus_Motif.ipynb b/docs/Tutorial_Consensus_Motif.ipynb index 5571d5340..c21750fd9 100644 --- a/docs/Tutorial_Consensus_Motif.ipynb +++ b/docs/Tutorial_Consensus_Motif.ipynb @@ -1,5 +1,22 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Consensus motif search\n", + "Matrix profiles (MP) can be used to find conserved structure within a single time series (self-join) and across two time series (AB-join). When considering sets of more than two time series one trick is to concatenate all time series (individual series edge-marked by `np.nan`) and doing a self-join MP. However, this is not guaranteed to find patterns that are conserved across *all* time series in the set. This idea of a motif common to all time series in a set is called **consensus motif**.\n", + "In this tutorial we will use the so called *Ostinato* algorithm which is an efficient way to find the consensus motif." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Getting started\n", + "Some boilerplate code for getting data, mathematical operations and plotting." + ] + }, { "cell_type": "code", "execution_count": 1, @@ -8,193 +25,390 @@ "source": [ "%matplotlib inline\n", "\n", + "import io\n", + "import requests\n", + "import ssl\n", "import stumpy\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", "import urllib\n", - "import ssl\n", - "import io\n", - "import os\n", - "import time\n", "import zipfile\n", - "from scipy.io import loadmat\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "from itertools import cycle, combinations\n", "from scipy.cluster.hierarchy import linkage, dendrogram\n", - "from scipy.special import comb\n", - "from itertools import combinations" + "from scipy.io import loadmat\n", + "from scipy.special import comb" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 2, "metadata": {}, + "outputs": [], "source": [ - "Ostinato using pre-computed FFTs. Functions `rolling_window`, `moving_average` and `moving_std` were copied verbatim, `find_nearest` heavily inspired by `massv2` of mass-ts toolbox." + "# Set figures to 20 by 6 inches\n", + "fig_size = plt.rcParams[\"figure.figsize\"]\n", + "fig_size[0] = 20\n", + "fig_size[1] = 6\n", + "plt.rcParams[\"figure.figsize\"] = fig_size\n", + "plt.rcParams['xtick.direction'] = 'out'" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - "def nextpow2(x): \n", - " return np.ceil(np.log2(np.abs(x)))\n", - "\n", + "# For downloading data from Google Drive\n", + "# from https://stackoverflow.com/questions/38511444/python-download-files-from-google-drive-using-url\n", + "def download_file_from_google_drive(id, destination):\n", + " URL = \"https://docs.google.com/uc?export=download\"\n", "\n", - "def rolling_window(a, window):\n", - " \"\"\"\n", - " Provides a rolling window on a numpy array given an array and window size.\n", - " Parameters\n", - " ----------\n", - " a : array_like\n", - " The array to create a rolling window on.\n", - " window : int\n", - " The window size.\n", - " Returns\n", - " -------\n", - " Strided array for computation.\n", - " \"\"\"\n", - " shape = a.shape[:-1] + (a.shape[-1] - window + 1, window)\n", - " strides = a.strides + (a.strides[-1],)\n", - " \n", - " return np.lib.stride_tricks.as_strided(a, shape=shape, strides=strides)\n", + " session = requests.Session()\n", "\n", + " response = session.get(URL, params = { 'id' : id }, stream = True)\n", + " token = get_confirm_token(response)\n", "\n", - "def moving_average(a, window=3):\n", - " \"\"\"\n", - " Computes the moving average over an array given a window size.\n", - " Parameters\n", - " ----------\n", - " a : array_like\n", - " The array to compute the moving average on.\n", - " window : int\n", - " The window size.\n", - " Returns\n", - " -------\n", - " The moving average over the array.\n", - " \"\"\"\n", - " return np.mean(rolling_window(a, window), -1)\n", + " if token:\n", + " params = { 'id' : id, 'confirm' : token }\n", + " response = session.get(URL, params = params, stream = True)\n", "\n", + " save_response_content(response, destination) \n", "\n", - "def moving_std(a, window=3):\n", - " \"\"\"\n", - " Computes the moving std. over an array given a window size.\n", - " Parameters\n", - " ----------\n", - " a : array_like\n", - " The array to compute the moving std. on.\n", - " window : int\n", - " The window size.\n", - " Returns\n", - " -------\n", - " The moving std. over the array.\n", - " \"\"\"\n", - " return np.std(rolling_window(a, window), -1)\n", + "def get_confirm_token(response):\n", + " for key, value in response.cookies.items():\n", + " if key.startswith('download_warning'):\n", + " return value\n", "\n", + " return None\n", "\n", + "def save_response_content(response, f):\n", + " CHUNK_SIZE = 32768\n", "\n", - "class ConsensusSearch():\n", - " def __init__(self, tss, m):\n", - " self.tss = tss\n", - " self.m = m\n", - " self.k = len(tss)\n", - " self.ffts = None\n", - " self._compute_ffts()\n", - " self.mus = None\n", - " self._compute_means()\n", - " self.sigmas = None\n", - " self._compute_sigmas()\n", - " self.bsf = 2 * np.sqrt(m)\n", - " self.ts_ind = 0\n", - " self.ss_ind = 0\n", - " \n", - " def _compute_ffts(self):\n", - " if self.ffts is None:\n", - " self.ffts = [np.fft.fft(ts, int(2**nextpow2(len(ts)))) for ts in self.tss]\n", - " \n", - " def _compute_means(self):\n", - " if self.mus is None:\n", - " self.mus = []\n", - " for ts in self.tss:\n", - " mu = moving_average(ts, self.m)\n", - " mu = np.append(np.ones((1, len(ts) - len(mu))), mu)\n", - " self.mus.append(mu)\n", - " \n", - " def _compute_sigmas(self):\n", - " if self.sigmas is None:\n", - " self.sigmas = []\n", - " for ts in self.tss:\n", - " sigma = moving_std(ts, self.m)\n", - " sigma = np.append(np.zeros((1, len(ts) - len(sigma))), sigma)\n", - " self.sigmas.append(sigma)\n", - " \n", - " def solve(self):\n", - " for i_a in range(self.k):\n", - " if i_a < (self.k - 1):\n", - " i_b = i_a + 1\n", - " else:\n", - " i_b = 0\n", - " # AB join\n", - " mp = stumpy.stump(self.tss[i_a], self.m, self.tss[i_b], ignore_trivial=False)\n", - " # sort by distances\n", - " si = np.argsort(mp[:, 0])\n", - " for i_q in si:\n", - " rad = mp[i_q, 0]\n", - " # If the smallest distance in this AB join is greater than the\n", - " # best so far value, there is no chance of distances to other\n", - " # time-series' subsequences being smaller\n", - " if rad >= self.bsf:\n", - " break\n", - " query = self.tss[i_a][i_q:i_q+self.m]\n", - " \n", - " # loop over remaining time-series\n", - " for i in range(self.k):\n", - " if ~np.isin(i, [i_a, i_b]):\n", - " rad = np.max((\n", - " rad, \n", - " np.min(self.findnearest(i, query))))\n", - " # If the smallest distance to this remaining time-series\n", - " # is greater then the best so far value, checking the other\n", - " # remaining time-series won't find a better one\n", - " if rad >= self.bsf:\n", - " break\n", - " # update best so far value if better radius was found\n", - " if rad < self.bsf:\n", - " self.bsf = rad\n", - " self.ts_ind = i_a\n", - " self.ss_ind = i_q\n", - " \n", - " def findnearest(self, i, query):\n", - " m = self.m\n", - " n = len(self.tss[i])\n", - " meanx = self.mus[i]\n", - " sigmax = self.sigmas[i]\n", - " y = query\n", - " meany = np.mean(y)\n", - " sigmay = np.std(y)\n", - " \n", - " X = self.ffts[i]\n", - " Y = np.fft.fft(np.flip(y), len(X))\n", - " Y.resize(X.shape)\n", - " Z = X * Y\n", - " z = np.fft.ifft(Z)\n", - " \n", - " dist = 2 * (m - (z[m - 1:n] - m * meanx[m - 1:n] * meany) / \n", - " (sigmax[m - 1:n] * sigmay))\n", - " dist = np.abs(np.sqrt(dist))\n", + " for chunk in response.iter_content(CHUNK_SIZE):\n", + " if chunk: # filter out keep-alive new chunks\n", + " f.write(chunk)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Eye-tracking (EOG) data\n", + "In the following data set a volunteer spelled out different Japanese sentences by performing eye movements that represented individual characters. Eye movements were recorded by an electrooculograph. For our purposes we're just using the vertical positions. We're conceptually reproducing figures 1 and 2 of the [consensus motif paper](https://www.cs.ucr.edu/~eamonn/consensus_Motif_ICDM_Long_version.pdf)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve the data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "snt_oi = [6, 7, 9, 10, 16, 24]\n", + "f = io.BytesIO()\n", + "download_file_from_google_drive('1r1-jNqTFpqSQ8XOBLp0uPKtT4DE6h5SZ', f)\n", + "f_zip = zipfile.ZipFile(f)\n", + "eye = [None] * len(snt_oi)\n", + "fs = 50 # eog signal was downsampled to 50 Hz\n", + "for i, s in enumerate(snt_oi):\n", + " with f_zip.open(f'EOG/S2_Database/continuous1/001/test/EOG_001_01_{s:03d}.csv') as csv:\n", + " eye[i] = np.genfromtxt(csv, delimiter=',')[:,0]\n", " \n", - " return dist" + "# the literal sentences \n", + "with f_zip.open(f'EOG/S2_Database/continuous1/common/test_sent.jp.txt') as csv:\n", + " sentences = pd.read_csv(csv, delimiter='\\t', header=None, index_col=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Retrieve the mtDNA data." + "### Plot the data" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'Vertical eye position while spelling different sentences')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_vertical_eog(): \n", + " fig, ax = plt.subplots(6, sharex=True, sharey=True)\n", + " prop_cycle = plt.rcParams['axes.prop_cycle']\n", + " colors = cycle(prop_cycle.by_key()['color'])\n", + " for i, e in enumerate(eye):\n", + " ax[i].plot(np.arange(0, len(e)) * fs, e, color=next(colors))\n", + " plt.subplots_adjust(hspace=0)\n", + " plt.xlabel('time [ms]')\n", + " return ax\n", + "\n", + "plot_vertical_eog()\n", + "plt.suptitle('Vertical eye position while spelling different sentences', fontsize=14)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Above we plotted six time series that each represent the vertical eye position while a person spelled sentences using their eyes.\n", + "\n", + "### Consensus motif search\n", + "What is the 1 second long pattern that is common across these six time series? To find out, we use `stumpy.ostinato`." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found best radius 0.871919240120116 in time series 4 starting at 1271.\n" + ] + } + ], + "source": [ + "m = fs\n", + "rad, tsidx, ssidx = stumpy.ostinato(eye, m)\n", + "print(f'Found best radius {rad} in time series {tsidx} starting at {ssidx}.')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's plot the corresponding matches in the individual time series." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "seed_motif = eye[tsidx][ssidx:ssidx+m]\n", + "x = np.linspace(0,1,50)\n", + "nn = np.zeros(len(eye), dtype=int)\n", + "nn[tsidx] = ssidx\n", + "for i, e in enumerate(eye):\n", + " if i != tsidx:\n", + " nn[i] = np.argmin(stumpy.core.mass(seed_motif, e))\n", + " lw = 1\n", + " label = None\n", + " else:\n", + " lw = 4\n", + " label = 'seed motif'\n", + " plt.plot(x, e[nn[i]:nn[i]+m], lw=lw, label=label)\n", + "plt.title('The consensus motif')\n", + "plt.xlabel('time [s]')\n", + "plt.legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is a striking similarity between the snippets. The most central seed motif is plotted with a thicker line.\n", + "\n", + "Highlighting the motifs in context we see that they occur at different times." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib.patches import Rectangle\n", + "ax = plot_vertical_eog()\n", + "for i in range(len(eye)):\n", + " y = ax[i].get_ylim()\n", + " r = Rectangle((nn[i] * fs, y[0]), m * fs, y[1]-y[0], alpha=0.3)\n", + " ax[i].add_patch(r)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The found pattern corresponds to the Japanese character ア which occurs in all of the sentences that we picked for this example:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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0
6ソレ デ エー コンカイ ノ オー モクテキ ワ ア
7モシクワ ホカ ノ ヒト ニ コーリ ガ アル ト スレ バ
9アノー ベツ ノ
10ン アノ タベ レル ノ デ
16ノ アノー ヒト ダケ ナラ イザ シラ ズ セカイ ニ モ
24ヒジョー ニ アンイ ニ スマ セル ツモリ デ デス ネ
\n", + "
" + ], + "text/plain": [ + " 1\n", + "0 \n", + "6 ソレ デ エー コンカイ ノ オー モクテキ ワ ア\n", + "7 モシクワ ホカ ノ ヒト ニ コーリ ガ アル ト スレ バ\n", + "9 アノー ベツ ノ\n", + "10 ン アノ タベ レル ノ デ\n", + "16 ノ アノー ヒト ダケ ナラ イザ シラ ズ セカイ ニ モ\n", + "24 ヒジョー ニ アンイ ニ スマ セル ツモリ デ デス ネ" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sentences.loc[snt_oi]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Phylogeny using mitochondrial DNA (mtDNA)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Mitochondrial DNA (mtDNA)](https://en.wikipedia.org/wiki/Mitochondrial_DNA) has been successfully used to figure out evolutionary relationships of organisms (phylogeny). Since DNAs are essentially ordered sequences of letters we can treat them as time series and use all the available time series tools. Here we will reproduce figure 9 of [consensus motif paper](https://www.cs.ucr.edu/~eamonn/consensus_Motif_ICDM_Long_version.pdf)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve the data" + ] + }, + { + "cell_type": "code", + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -216,31 +430,31 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Clustering obtained from using majority of mtDNA sequences. The paper says that they truncated to 16000 data points but to reproduce the sequences in Fig. 9 left they need to be truncated to 15000.\n", + "### Clustering using the majority of mtDNA sequences\n", "\n", - "To reproduce the clustering the standardised euclidean distance has to be used." + "We can naively cluster the mtDNAs by using the majority of the sequences." ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Text(0, 0.5, 'standardised euclidean distance')" + "Text(0.5, 1.0, 'clustering')" ] }, - "execution_count": 4, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -250,13 +464,15 @@ } ], "source": [ - "fig, ax = plt.subplots(ncols=2, figsize=(12,6))\n", + "fig, ax = plt.subplots(ncols=2)\n", "\n", "# sequences in Fig 9 left\n", "truncate = 15000\n", "for k, v in data.items():\n", " ax[0].plot(v[:truncate], label=k, color=colors[k])\n", "ax[0].legend()\n", + "ax[0].set_xlabel('number of base pairs')\n", + "ax[0].set_title('mtDNA sequences')\n", "\n", "# clustering in Fig 9 left\n", "truncate = 16000\n", @@ -265,37 +481,37 @@ " dp[i] = stumpy.core.mass(data[a_c[0]][:truncate], data[a_c[1]][:truncate])\n", "Z = linkage(dp, optimal_ordering=True)\n", "dendrogram(Z, labels=[k for k in data.keys()], ax=ax[1])\n", - "ax[1].set_ylabel('standardised euclidean distance')" + "ax[1].set_ylabel('standardised euclidean distance')\n", + "ax[1].set_title('clustering')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Do the consensus motif search." + "The clustering is clearly wrong. Amongst other problems, the alpaca (a mammal) is not most closely related to the python (a reptile).\n", + "\n", + "### Consensus motif search\n", + "In order to obtain the correct relationships, we need to look at the motif that is most conserved across the mtDNA sequences. Let's take a window of 1000 base pairs." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "16.176260709762573 s to find consensus sequence\n" + "Found best radius 2.7312888818610532 in time series 1 starting at 602.\n" ] } ], "source": [ "m = 1000\n", - "cs = ConsensusSearch([ts for ts in data.values()], m)\n", - "t = time.time()\n", - "cs.solve()\n", - "print(f'{time.time()-t} s to find consensus sequence')\n", - "ts_ind = cs.ts_ind\n", - "ss_ind = cs.ss_ind" + "rad, tsidx, ssidx = stumpy.ostinato(list(data.values()), m)\n", + "print(f'Found best radius {rad} in time series {tsidx} starting at {ssidx}.')" ] }, { @@ -307,32 +523,24 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'icoord': [[15.0, 15.0, 25.0, 25.0],\n", - " [20.0, 20.0, 35.0, 35.0],\n", - " [5.0, 5.0, 27.5, 27.5]],\n", - " 'dcoord': [[0.0, 2.0617336442321275, 2.0617336442321275, 0.0],\n", - " [2.0617336442321275, 2.3864893853904543, 2.3864893853904543, 0.0],\n", - " [0.0, 2.731288881859224, 2.731288881859224, 2.3864893853904543]],\n", - " 'ivl': ['python', 'alpaca', 'hippo', 'red_flying_fox'],\n", - " 'leaves': [0, 3, 1, 2],\n", - " 'color_list': ['C0', 'C0', 'C0']}" + "Text(0, 0.5, 'standardised euclidean distance')" ] }, - "execution_count": 6, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -343,16 +551,16 @@ ], "source": [ "consensus_motifs = {}\n", - "best_motif = list(data.items())[ts_ind][1][ss_ind:ss_ind+m]\n", + "best_motif = list(data.items())[tsidx][1][ssidx:ssidx+m]\n", "for i, (k, v) in enumerate(data.items()):\n", - " if i == ts_ind:\n", + " if i == tsidx:\n", " consensus_motifs[k] = best_motif\n", " else:\n", " ind = np.argmin(stumpy.core.mass(best_motif, v))\n", " consensus_motifs[k] = v[ind:ind+m]\n", "\n", " \n", - "fig, ax = plt.subplots(ncols=2, figsize=(12, 6))\n", + "fig, ax = plt.subplots(ncols=2)\n", "# plot the consensus motifs\n", "for animal, motif in consensus_motifs.items():\n", " ax[0].plot(motif, label=animal, color=colors[animal])\n", @@ -362,7 +570,19 @@ "for i, motif in enumerate(combinations(list(consensus_motifs.values()), 2)):\n", " dp[i] = stumpy.core.mass(motif[0], motif[1])\n", "Z = linkage(dp, optimal_ordering=True)\n", - "dendrogram(Z, labels=[k for k in consensus_motifs.keys()])" + "dendrogram(Z, labels=[k for k in consensus_motifs.keys()])\n", + "\n", + "ax[0].set_title('consensus motifs')\n", + "ax[0].set_xlabel('number of base pairs')\n", + "ax[1].set_title('clustering on the consensus motifs')\n", + "ax[1].set_ylabel('standardised euclidean distance')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now this looks much better! The python is far away from the others. Amongst the mammalia the red flying fox (a bat) is less related to both the alpaca and the hippo which are the closest evolutionary relatives in this set of animals." ] } ], From 6d2d07ba000c06b85f3de6f4e09ab059bbe471d1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Fri, 13 Nov 2020 18:22:09 +0100 Subject: [PATCH 10/25] expand range of tested random seeds --- tests/test_ostinato.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index f2a68429d..ab0a4e5ca 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -35,7 +35,7 @@ def naive_consensus_search(ts, m): return rad, tsind, ssind -@pytest.mark.parametrize('seed', np.arange(100)) +@pytest.mark.parametrize('seed', np.random.choice(np.arange(10000), size=100, replace=False)) def test_ostinato(seed): m = 50 np.random.seed(seed) From 6be27e85fb45260d378afc439b428d6987a0968b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Fri, 13 Nov 2020 18:26:51 +0100 Subject: [PATCH 11/25] Black'd and flake8'd --- stumpy/__init__.py | 2 +- stumpy/aamp.py | 16 ++-------------- stumpy/mstump.py | 7 +------ stumpy/ostinato.py | 15 ++++++++++----- stumpy/scrump.py | 14 ++------------ tests/naive.py | 3 +-- tests/test_gpu_aamp.py | 15 ++------------- tests/test_gpu_stump.py | 15 ++------------- tests/test_ostinato.py | 11 +++++++---- 9 files changed, 28 insertions(+), 70 deletions(-) diff --git a/stumpy/__init__.py b/stumpy/__init__.py index a75bde801..4731cb1eb 100644 --- a/stumpy/__init__.py +++ b/stumpy/__init__.py @@ -19,7 +19,7 @@ from .aampi import aampi # noqa: F401 from .chains import atsc, allc # noqa: F401 from .floss import floss, fluss, _nnmark, _iac, _cac, _rea # noqa: F401 -from .ostinato import ostinato # noqa: F401 +from .ostinato import ostinato # noqa: F401 from .scrump import scrump # noqa: F401 from .stumpi import stumpi # noqa: F401 from numba import cuda diff --git a/stumpy/aamp.py b/stumpy/aamp.py index ef89ac06e..d2286b802 100644 --- a/stumpy/aamp.py +++ b/stumpy/aamp.py @@ -129,13 +129,7 @@ def _compute_diagonal( @njit(parallel=True, fastmath=True) def _aamp( - T_A, - T_B, - m, - T_A_subseq_isfinite, - T_B_subseq_isfinite, - diags, - ignore_trivial, + T_A, T_B, m, T_A_subseq_isfinite, T_B_subseq_isfinite, diags, ignore_trivial, ): """ A Numba JIT-compiled version of AAMP for parallel computation of the matrix @@ -303,13 +297,7 @@ def aamp(T_A, m, T_B=None, ignore_trivial=True): diags = np.arange(-(n_A - m + 1) + 1, n_B - m + 1) P, I = _aamp( - T_A, - T_B, - m, - T_A_subseq_isfinite, - T_B_subseq_isfinite, - diags, - ignore_trivial, + T_A, T_B, m, T_A_subseq_isfinite, T_B_subseq_isfinite, diags, ignore_trivial, ) out[:, 0] = P[:, 0] diff --git a/stumpy/mstump.py b/stumpy/mstump.py index 0bfee19e3..2d14a68e2 100644 --- a/stumpy/mstump.py +++ b/stumpy/mstump.py @@ -538,12 +538,7 @@ def _mstump( if include is not None: _apply_include( - D, - include, - restricted_indices, - unrestricted_indices, - mask, - tmp_swap, + D, include, restricted_indices, unrestricted_indices, mask, tmp_swap, ) start_row_idx = include.shape[0] diff --git a/stumpy/ostinato.py b/stumpy/ostinato.py index 19868e4d5..1c3492b01 100644 --- a/stumpy/ostinato.py +++ b/stumpy/ostinato.py @@ -1,6 +1,7 @@ import numpy as np from . import core, stump + def ostinato(tss, m): """ Find the consensus motif of multiple time series @@ -54,19 +55,23 @@ def ostinato(tss, m): break for i in range(k): if ~np.isin(i, [j, h]): - QT = core.sliding_dot_product(Ts[j][q:q+m], Ts[i]) - rad = np.max(( + QT = core.sliding_dot_product(Ts[j][q : q + m], Ts[i]) + rad = np.max( + ( rad, np.min( core._mass( - Ts[j][q:q+m], + Ts[j][q : q + m], Ts[i], QT, M_Ts[j][q], Σ_Ts[j][q], M_Ts[i], - Σ_Ts[i],)) - )) + Σ_Ts[i], + ) + ), + ) + ) if rad >= bsf_rad: break if rad < bsf_rad: diff --git a/stumpy/scrump.py b/stumpy/scrump.py index 2f852c791..11472fe47 100644 --- a/stumpy/scrump.py +++ b/stumpy/scrump.py @@ -110,12 +110,7 @@ def _prescrump( + T_B[i + k + m - 1] * T_A[j + k + m - 1] ) D_squared = core._calculate_squared_distance( - m, - QT_j, - M_T[i + k], - Σ_T[i + k], - μ_Q[j + k], - σ_Q[j + k], + m, QT_j, M_T[i + k], Σ_T[i + k], μ_Q[j + k], σ_Q[j + k], ) if D_squared < P_squared[i + k]: P_squared[i + k] = D_squared @@ -127,12 +122,7 @@ def _prescrump( for k in range(1, min(s, i + 1, j + 1)): QT_j = QT_j - T_B[i - k + m] * T_A[j - k + m] + T_B[i - k] * T_A[j - k] D_squared = core._calculate_squared_distance( - m, - QT_j, - M_T[i - k], - Σ_T[i - k], - μ_Q[j - k], - σ_Q[j - k], + m, QT_j, M_T[i - k], Σ_T[i - k], μ_Q[j - k], σ_Q[j - k], ) if D_squared < P_squared[i - k]: P_squared[i - k] = D_squared diff --git a/tests/naive.py b/tests/naive.py index 99cd52be7..95f55e956 100644 --- a/tests/naive.py +++ b/tests/naive.py @@ -101,8 +101,7 @@ def stamp(T_A, m, T_B=None, exclusion_zone=None): ) else: result = np.array( - [mass(Q, T_B, m) for Q in core.rolling_window(T_A, m)], - dtype=object, + [mass(Q, T_B, m) for Q in core.rolling_window(T_A, m)], dtype=object, ) return result diff --git a/tests/test_gpu_aamp.py b/tests/test_gpu_aamp.py index ab71f9317..55cf1fa38 100644 --- a/tests/test_gpu_aamp.py +++ b/tests/test_gpu_aamp.py @@ -92,12 +92,7 @@ def test_parallel_gpu_aamp_self_join(T_A, T_B): m = 3 zone = int(np.ceil(m / 4)) ref_mp = naive.aamp(T_B, m, exclusion_zone=zone) - comp_mp = gpu_aamp( - T_B, - m, - ignore_trivial=True, - device_id=device_ids, - ) + comp_mp = gpu_aamp(T_B, m, ignore_trivial=True, device_id=device_ids,) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp) @@ -118,13 +113,7 @@ def test_parallel_gpu_aamp_A_B_join(T_A, T_B): if len(T_B) > 10: m = 3 ref_mp = naive.aamp(T_B, m, T_B=T_A) - comp_mp = gpu_aamp( - T_B, - m, - T_A, - ignore_trivial=False, - device_id=device_ids, - ) + comp_mp = gpu_aamp(T_B, m, T_A, ignore_trivial=False, device_id=device_ids,) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp) diff --git a/tests/test_gpu_stump.py b/tests/test_gpu_stump.py index d01b11179..426607404 100644 --- a/tests/test_gpu_stump.py +++ b/tests/test_gpu_stump.py @@ -92,12 +92,7 @@ def test_parallel_gpu_stump_self_join(T_A, T_B): m = 3 zone = int(np.ceil(m / 4)) ref_mp = naive.stamp(T_B, m, exclusion_zone=zone) - comp_mp = gpu_stump( - T_B, - m, - ignore_trivial=True, - device_id=device_ids, - ) + comp_mp = gpu_stump(T_B, m, ignore_trivial=True, device_id=device_ids,) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp) @@ -118,13 +113,7 @@ def test_parallel_gpu_stump_A_B_join(T_A, T_B): if len(T_B) > 10: m = 3 ref_mp = naive.stamp(T_B, m, T_B=T_A) - comp_mp = gpu_stump( - T_B, - m, - T_A, - ignore_trivial=False, - device_id=device_ids, - ) + comp_mp = gpu_stump(T_B, m, T_A, ignore_trivial=False, device_id=device_ids,) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp) diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index ab0a4e5ca..0f6447e54 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -3,6 +3,7 @@ import stumpy import pytest + def naive_consensus_search(ts, m): """ Brute force consensus motif from @@ -35,7 +36,9 @@ def naive_consensus_search(ts, m): return rad, tsind, ssind -@pytest.mark.parametrize('seed', np.random.choice(np.arange(10000), size=100, replace=False)) +@pytest.mark.parametrize( + "seed", np.random.choice(np.arange(10000), size=100, replace=False) +) def test_ostinato(seed): m = 50 np.random.seed(seed) @@ -46,8 +49,8 @@ def test_ostinato(seed): npt.assert_almost_equal(rad_naive, rad_ostinato) npt.assert_almost_equal( - ts[tsind_naive][ssind_naive:ssind_naive+m], - ts[tsind_ostinato][ssind_ostinato:ssind_ostinato+m], - ) + ts[tsind_naive][ssind_naive : ssind_naive + m], + ts[tsind_ostinato][ssind_ostinato : ssind_ostinato + m], + ) npt.assert_almost_equal(tsind_naive, tsind_ostinato) npt.assert_almost_equal(ssind_naive, ssind_ostinato) From 37232d2db9d4d4aba75d1ba02e10bd1bc2d9bd5a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Mon, 16 Nov 2020 12:29:57 +0100 Subject: [PATCH 12/25] only test radius for now --- tests/test_ostinato.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index 0f6447e54..be6ffe88b 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -48,9 +48,3 @@ def test_ostinato(seed): rad_ostinato, tsind_ostinato, ssind_ostinato = stumpy.ostinato(ts, m) npt.assert_almost_equal(rad_naive, rad_ostinato) - npt.assert_almost_equal( - ts[tsind_naive][ssind_naive : ssind_naive + m], - ts[tsind_ostinato][ssind_ostinato : ssind_ostinato + m], - ) - npt.assert_almost_equal(tsind_naive, tsind_ostinato) - npt.assert_almost_equal(ssind_naive, ssind_ostinato) From 0d74094b1ffb0e80a598f4fd50a328c75342474a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Mon, 16 Nov 2020 12:31:17 +0100 Subject: [PATCH 13/25] black 20.8b1 --- stumpy/aamp.py | 16 ++++++++++++++-- stumpy/mstump.py | 7 ++++++- stumpy/scrump.py | 14 ++++++++++++-- tests/naive.py | 3 ++- tests/test_gpu_aamp.py | 15 +++++++++++++-- tests/test_gpu_stump.py | 15 +++++++++++++-- 6 files changed, 60 insertions(+), 10 deletions(-) diff --git a/stumpy/aamp.py b/stumpy/aamp.py index d2286b802..ef89ac06e 100644 --- a/stumpy/aamp.py +++ b/stumpy/aamp.py @@ -129,7 +129,13 @@ def _compute_diagonal( @njit(parallel=True, fastmath=True) def _aamp( - T_A, T_B, m, T_A_subseq_isfinite, T_B_subseq_isfinite, diags, ignore_trivial, + T_A, + T_B, + m, + T_A_subseq_isfinite, + T_B_subseq_isfinite, + diags, + ignore_trivial, ): """ A Numba JIT-compiled version of AAMP for parallel computation of the matrix @@ -297,7 +303,13 @@ def aamp(T_A, m, T_B=None, ignore_trivial=True): diags = np.arange(-(n_A - m + 1) + 1, n_B - m + 1) P, I = _aamp( - T_A, T_B, m, T_A_subseq_isfinite, T_B_subseq_isfinite, diags, ignore_trivial, + T_A, + T_B, + m, + T_A_subseq_isfinite, + T_B_subseq_isfinite, + diags, + ignore_trivial, ) out[:, 0] = P[:, 0] diff --git a/stumpy/mstump.py b/stumpy/mstump.py index 2d14a68e2..0bfee19e3 100644 --- a/stumpy/mstump.py +++ b/stumpy/mstump.py @@ -538,7 +538,12 @@ def _mstump( if include is not None: _apply_include( - D, include, restricted_indices, unrestricted_indices, mask, tmp_swap, + D, + include, + restricted_indices, + unrestricted_indices, + mask, + tmp_swap, ) start_row_idx = include.shape[0] diff --git a/stumpy/scrump.py b/stumpy/scrump.py index 11472fe47..2f852c791 100644 --- a/stumpy/scrump.py +++ b/stumpy/scrump.py @@ -110,7 +110,12 @@ def _prescrump( + T_B[i + k + m - 1] * T_A[j + k + m - 1] ) D_squared = core._calculate_squared_distance( - m, QT_j, M_T[i + k], Σ_T[i + k], μ_Q[j + k], σ_Q[j + k], + m, + QT_j, + M_T[i + k], + Σ_T[i + k], + μ_Q[j + k], + σ_Q[j + k], ) if D_squared < P_squared[i + k]: P_squared[i + k] = D_squared @@ -122,7 +127,12 @@ def _prescrump( for k in range(1, min(s, i + 1, j + 1)): QT_j = QT_j - T_B[i - k + m] * T_A[j - k + m] + T_B[i - k] * T_A[j - k] D_squared = core._calculate_squared_distance( - m, QT_j, M_T[i - k], Σ_T[i - k], μ_Q[j - k], σ_Q[j - k], + m, + QT_j, + M_T[i - k], + Σ_T[i - k], + μ_Q[j - k], + σ_Q[j - k], ) if D_squared < P_squared[i - k]: P_squared[i - k] = D_squared diff --git a/tests/naive.py b/tests/naive.py index 95f55e956..99cd52be7 100644 --- a/tests/naive.py +++ b/tests/naive.py @@ -101,7 +101,8 @@ def stamp(T_A, m, T_B=None, exclusion_zone=None): ) else: result = np.array( - [mass(Q, T_B, m) for Q in core.rolling_window(T_A, m)], dtype=object, + [mass(Q, T_B, m) for Q in core.rolling_window(T_A, m)], + dtype=object, ) return result diff --git a/tests/test_gpu_aamp.py b/tests/test_gpu_aamp.py index 55cf1fa38..ab71f9317 100644 --- a/tests/test_gpu_aamp.py +++ b/tests/test_gpu_aamp.py @@ -92,7 +92,12 @@ def test_parallel_gpu_aamp_self_join(T_A, T_B): m = 3 zone = int(np.ceil(m / 4)) ref_mp = naive.aamp(T_B, m, exclusion_zone=zone) - comp_mp = gpu_aamp(T_B, m, ignore_trivial=True, device_id=device_ids,) + comp_mp = gpu_aamp( + T_B, + m, + ignore_trivial=True, + device_id=device_ids, + ) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp) @@ -113,7 +118,13 @@ def test_parallel_gpu_aamp_A_B_join(T_A, T_B): if len(T_B) > 10: m = 3 ref_mp = naive.aamp(T_B, m, T_B=T_A) - comp_mp = gpu_aamp(T_B, m, T_A, ignore_trivial=False, device_id=device_ids,) + comp_mp = gpu_aamp( + T_B, + m, + T_A, + ignore_trivial=False, + device_id=device_ids, + ) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp) diff --git a/tests/test_gpu_stump.py b/tests/test_gpu_stump.py index 426607404..d01b11179 100644 --- a/tests/test_gpu_stump.py +++ b/tests/test_gpu_stump.py @@ -92,7 +92,12 @@ def test_parallel_gpu_stump_self_join(T_A, T_B): m = 3 zone = int(np.ceil(m / 4)) ref_mp = naive.stamp(T_B, m, exclusion_zone=zone) - comp_mp = gpu_stump(T_B, m, ignore_trivial=True, device_id=device_ids,) + comp_mp = gpu_stump( + T_B, + m, + ignore_trivial=True, + device_id=device_ids, + ) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp) @@ -113,7 +118,13 @@ def test_parallel_gpu_stump_A_B_join(T_A, T_B): if len(T_B) > 10: m = 3 ref_mp = naive.stamp(T_B, m, T_B=T_A) - comp_mp = gpu_stump(T_B, m, T_A, ignore_trivial=False, device_id=device_ids,) + comp_mp = gpu_stump( + T_B, + m, + T_A, + ignore_trivial=False, + device_id=device_ids, + ) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp) From 9f281a1cf7f3106ec97f2ada9c36f812abbbbfc0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Tue, 17 Nov 2020 17:57:16 +0100 Subject: [PATCH 14/25] put back test of time series and subsequence indices --- tests/test_ostinato.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index be6ffe88b..9ac6833f9 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -48,3 +48,5 @@ def test_ostinato(seed): rad_ostinato, tsind_ostinato, ssind_ostinato = stumpy.ostinato(ts, m) npt.assert_almost_equal(rad_naive, rad_ostinato) + npt.assert_almost_equal(tsind_naive, tsind_ostinato) + npt.assert_almost_equal(ssind_naive, ssind_ostinato) From 11936fa19bf4169b83faa1a1c4699f7e042babc6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Tue, 17 Nov 2020 18:09:13 +0100 Subject: [PATCH 15/25] Private function _get_central_motif --- stumpy/ostinato.py | 4 ++++ tests/test_ostinato.py | 3 ++- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/stumpy/ostinato.py b/stumpy/ostinato.py index 1c3492b01..b2259eeb5 100644 --- a/stumpy/ostinato.py +++ b/stumpy/ostinato.py @@ -78,3 +78,7 @@ def ostinato(tss, m): bsf_rad, ts_ind, ss_ind = rad, j, q return bsf_rad, ts_ind, ss_ind + + +def _get_central_motif(ts, rad, tsind, ssind, m): + return diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index 9ac6833f9..21b0638c6 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -1,6 +1,7 @@ import numpy as np import numpy.testing as npt import stumpy +from stumpy.ostinato import _get_central_motif import pytest @@ -33,7 +34,7 @@ def naive_consensus_search(ts, m): tsind = j ssind = min_rad_index - return rad, tsind, ssind + return _get_central_motif(ts, rad, tsind, ssind, m) @pytest.mark.parametrize( From 309b8d840b461e28a406278d20bbae75bee7bb91 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Wed, 18 Nov 2020 10:03:55 +0100 Subject: [PATCH 16/25] Complete _get_central_motif --- stumpy/ostinato.py | 65 ++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 63 insertions(+), 2 deletions(-) diff --git a/stumpy/ostinato.py b/stumpy/ostinato.py index b2259eeb5..6e4a7417c 100644 --- a/stumpy/ostinato.py +++ b/stumpy/ostinato.py @@ -80,5 +80,66 @@ def ostinato(tss, m): return bsf_rad, ts_ind, ss_ind -def _get_central_motif(ts, rad, tsind, ssind, m): - return +def _get_central_motif(ts, rad, tsi, ssi, m): + """ + Compare subsequences with the same radius and return the most central motif + + Parameters + ---------- + ts : list + List of time series for which to find the most central motif + + rad : float + Best radius found by a consensus search algorithm + + tsi : int + Index of time series in which `rad` was found first + + ssi : int + Start index of subsequence in `tsi` that has radius `rad` + + m : int + Window size + + Returns + ------- + rad : float + Radius of the most central consensus motif + + tsi : int + Index of time series which contains the most central consensus motif + + ssi : int + Start index of most central consensus motif within the time series `tsi` + that contains it + """ + k = len(ts) + # Get nearest neighbors for ostinato hit + nn_ost, d_ost = _across_series_nearest_neighbors(ts, tsi, ssi, m) + # Alternative candidates with same radius + tsi_alt = np.flatnonzero(np.isclose(d_ost, rad)) + ssi_alt = nn_ost[tsi_alt] + num_alt = len(tsi_alt) + d_alt = np.zeros((num_alt, k), dtype=float) + for i in range(num_alt): + _, d_alt[i] = _across_series_nearest_neighbors(ts, tsi_alt[i], ssi_alt[i], m) + d_alt_sum = np.sum(d_alt, axis=1) + if np.any(d_alt_sum < d_ost.sum()): + i_alt_best = np.argmin(d_alt_sum) + return rad, tsi_alt[i_alt_best], ssi_alt[i_alt_best] + else: + return rad, tsi, ssi + + +def _across_series_nearest_neighbors(ts, qtsind, qssind, m): + k = len(ts) + q = ts[qtsind][qssind : qssind + m] + d = np.zeros(k, dtype=float) + nn = np.zeros(k, dtype=int) + nn[qtsind] = qssind + for i in range(k): + if i != qtsind: + dp = core.mass(q, ts[i]) + nn[i] = np.argmin(dp) + d[i] = dp[nn[i]] + return nn, d From bd7e622761000dbdcce2fef0acf65a68ff928a30 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Wed, 18 Nov 2020 10:19:30 +0100 Subject: [PATCH 17/25] Ostinato: main computation in private function, add wrapper --- stumpy/ostinato.py | 42 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 42 insertions(+) diff --git a/stumpy/ostinato.py b/stumpy/ostinato.py index 6e4a7417c..9e1d1439f 100644 --- a/stumpy/ostinato.py +++ b/stumpy/ostinato.py @@ -6,6 +6,44 @@ def ostinato(tss, m): """ Find the consensus motif of multiple time series + This is a wrapper around the vanilla version of the ostinato algorithm + which finds the best radius and a helper function that finds the most + central conserved motif. + + Parameters + ---------- + tss : list + List of time series for which to find the consensus motif + + m : int + Window size + + Returns + ------- + rad : float + Radius of the most central consensus motif + + ts_ind : int + Index of time series which contains the most central consensus motif + + ss_ind : int + Start index of the most central consensus motif within the time series + `ts_ind` that contains it + + Notes + ----- + + + See Table 2 + """ + rad, ts_ind, ss_ind = _ostinato(tss, m) + return _get_central_motif(tss, rad, ts_ind, ss_ind, m) + + +def _ostinato(tss, m): + """ + Find the consensus motif of multiple time series + Parameters ---------- tss : list @@ -31,6 +69,10 @@ def ostinato(tss, m): See Table 2 + + The proposed ostinato algorithm only finds the best radius but not the + most central motif. If you need the most central motif run + stumpy.ostinato._get_central_motif with this function's return values. """ # Preprocess means and stddevs and handle np.nan/np.inf Ts = [None] * len(tss) From 6bc45836a53b22307ac935354803c8f673b5c6c3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Thu, 19 Nov 2020 12:43:57 +0100 Subject: [PATCH 18/25] Consistent variable naming, improved docstrings and central motif search --- stumpy/ostinato.py | 143 ++++++++++++++++++++++++++++++----------- tests/test_ostinato.py | 28 ++++---- 2 files changed, 121 insertions(+), 50 deletions(-) diff --git a/stumpy/ostinato.py b/stumpy/ostinato.py index 9e1d1439f..d58c234a7 100644 --- a/stumpy/ostinato.py +++ b/stumpy/ostinato.py @@ -35,6 +35,19 @@ def ostinato(tss, m): See Table 2 + + The ostinato algorithm proposed in the paper finds the best radius + in `tss`. Intuitively, the radius is the minimum distance of a + subsequence to encompass at least one nearest neighbor subsequence + from all other time series. The best radius in `tss` is the minimum + radius amongst all radii. Some data sets might contain multiple + subsequences which have the same optimal radius. + The greedy Ostinato algorithm only finds one of them, which might + not be the most central motif. The most central motif amongst the + subsequences with the best radius is the one with the smallest mean + distance to nearest neighbors in all other time series. To find this + central motif it is necessary to search the subsequences with the + best radius via stumpy.ostinato._get_central_motif """ rad, ts_ind, ss_ind = _ostinato(tss, m) return _get_central_motif(tss, rad, ts_ind, ss_ind, m) @@ -70,9 +83,18 @@ def _ostinato(tss, m): See Table 2 - The proposed ostinato algorithm only finds the best radius but not the - most central motif. If you need the most central motif run - stumpy.ostinato._get_central_motif with this function's return values. + The ostinato algorithm proposed in the paper finds the best radius + in `tss`. Intuitively, the radius is the minimum distance of a + subsequence to encompass at least one nearest neighbor subsequence + from all other time series. The best radius in `tss` is the minimum + radius amongst all radii. Some data sets might contain multiple + subsequences which have the same optimal radius. + The greedy Ostinato algorithm only finds one of them, which might + not be the most central motif. The most central motif amongst the + subsequences with the best radius is the one with the smallest mean + distance to nearest neighbors in all other time series. To find this + central motif it is necessary to search the subsequences with the + best radius via stumpy.ostinato._get_central_motif """ # Preprocess means and stddevs and handle np.nan/np.inf Ts = [None] * len(tss) @@ -122,23 +144,23 @@ def _ostinato(tss, m): return bsf_rad, ts_ind, ss_ind -def _get_central_motif(ts, rad, tsi, ssi, m): +def _get_central_motif(tss, rad, ts_ind, ss_ind, m): """ Compare subsequences with the same radius and return the most central motif Parameters ---------- - ts : list + tss : list List of time series for which to find the most central motif rad : float Best radius found by a consensus search algorithm - tsi : int + ts_ind : int Index of time series in which `rad` was found first - ssi : int - Start index of subsequence in `tsi` that has radius `rad` + ss_ind : int + Start index of subsequence in `ts_ind` that has radius `rad` m : int Window size @@ -148,40 +170,89 @@ def _get_central_motif(ts, rad, tsi, ssi, m): rad : float Radius of the most central consensus motif - tsi : int + ts_ind : int Index of time series which contains the most central consensus motif - ssi : int - Start index of most central consensus motif within the time series `tsi` + ss_ind : int + Start index of most central consensus motif within the time series `ts_ind` that contains it + + Notes + ----- + + + See Table 2 + + The ostinato algorithm proposed in the paper finds the best radius + in `tss`. Intuitively, the radius is the minimum distance of a + subsequence to encompass at least one nearest neighbor subsequence + from all other time series. The best radius in `tss` is the minimum + radius amongst all radii. Some data sets might contain multiple + subsequences which have the same optimal radius. + The greedy Ostinato algorithm only finds one of them, which might + not be the most central motif. The most central motif amongst the + subsequences with the best radius is the one with the smallest mean + distance to nearest neighbors in all other time series. To find this + central motif it is necessary to search the subsequences with the + best radius via stumpy.ostinato._get_central_motif """ - k = len(ts) - # Get nearest neighbors for ostinato hit - nn_ost, d_ost = _across_series_nearest_neighbors(ts, tsi, ssi, m) - # Alternative candidates with same radius - tsi_alt = np.flatnonzero(np.isclose(d_ost, rad)) - ssi_alt = nn_ost[tsi_alt] - num_alt = len(tsi_alt) - d_alt = np.zeros((num_alt, k), dtype=float) - for i in range(num_alt): - _, d_alt[i] = _across_series_nearest_neighbors(ts, tsi_alt[i], ssi_alt[i], m) - d_alt_sum = np.sum(d_alt, axis=1) - if np.any(d_alt_sum < d_ost.sum()): - i_alt_best = np.argmin(d_alt_sum) - return rad, tsi_alt[i_alt_best], ssi_alt[i_alt_best] + k = len(tss) + + # Ostinato hit: get nearest neighbors' distances and indices + q_ost = tss[ts_ind][ss_ind : ss_ind + m] + ss_ind_nn_ost, d_ost = _across_series_nearest_neighbors(q_ost, tss) + + # Alternative candidates: Distance to ostinato hit equals best radius + ts_ind_alt = np.flatnonzero(np.isclose(d_ost, rad)) + ss_ind_alt = ss_ind_nn_ost[ts_ind_alt] + d_alt = np.zeros((len(ts_ind_alt), k), dtype=float) + for i, (tsi, ssi) in enumerate(zip(ts_ind_alt, ss_ind_alt)): + q = tss[tsi][ssi : ssi + m] + _, d_alt[i] = _across_series_nearest_neighbors(q, tss) + rad_alt = np.max(d_alt, axis=1) + d_mean_alt = np.mean(d_alt, axis=1) + + # Alternatives with same radius and lower mean distance + alt_better = np.logical_and( + np.isclose(rad_alt, rad), + d_mean_alt < d_ost.mean(), + ) + if np.any(alt_better): + ts_ind_alt = ts_ind_alt[alt_better] + ss_ind_alt = ss_ind_alt[alt_better] + d_mean_alt = d_mean_alt[alt_better] + i_alt_best = np.argmin(d_mean_alt) + return rad, ts_ind_alt[i_alt_best], ss_ind_alt[i_alt_best] else: - return rad, tsi, ssi + return rad, ts_ind, ss_ind + + +def _across_series_nearest_neighbors(q, tss): + """ + For multiple time series find, per individual time series, the subsequences closest + to a query. + + Parameters + ---------- + q : ndarray + Query array or subsequence + + tss : list + List of time series for which to the nearest neighbors to `q` + Returns + ------- + ss_ind_nn : ndarray + Indices to subsequences in `tss` that are closest to `q` -def _across_series_nearest_neighbors(ts, qtsind, qssind, m): - k = len(ts) - q = ts[qtsind][qssind : qssind + m] + d : ndarray + Distances to subsequences in `tss` that are closest to `q` + """ + k = len(tss) d = np.zeros(k, dtype=float) - nn = np.zeros(k, dtype=int) - nn[qtsind] = qssind + ss_ind_nn = np.zeros(k, dtype=int) for i in range(k): - if i != qtsind: - dp = core.mass(q, ts[i]) - nn[i] = np.argmin(dp) - d[i] = dp[nn[i]] - return nn, d + dp = core.mass(q, tss[i]) + ss_ind_nn[i] = np.argmin(dp) + d[i] = dp[ss_ind_nn[i]] + return ss_ind_nn, d diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index 21b0638c6..d0ea0ab00 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -5,7 +5,7 @@ import pytest -def naive_consensus_search(ts, m): +def naive_consensus_search(tss, m): """ Brute force consensus motif from @@ -15,26 +15,26 @@ def naive_consensus_search(ts, m): Note that there is a bug in the pseudocode at line 8 where `i` should be `j`. This implementation fixes it. """ - k = len(ts) + k = len(tss) rad = np.inf - tsind = 0 - ssind = 0 + ts_ind = 0 + ss_ind = 0 for j in range(k): - radii = np.zeros(len(ts[j]) - m + 1) + radii = np.zeros(len(tss[j]) - m + 1) for i in range(k): if i != j: - mp = stumpy.stump(ts[j], m, ts[i], ignore_trivial=False) + mp = stumpy.stump(tss[j], m, tss[i], ignore_trivial=False) radii = np.max((radii, mp[:, 0]), axis=0) min_rad_index = np.argmin(radii) min_rad = radii[min_rad_index] if min_rad < rad: rad = min_rad - tsind = j - ssind = min_rad_index + ts_ind = j + ss_ind = min_rad_index - return _get_central_motif(ts, rad, tsind, ssind, m) + return _get_central_motif(tss, rad, ts_ind, ss_ind, m) @pytest.mark.parametrize( @@ -43,11 +43,11 @@ def naive_consensus_search(ts, m): def test_ostinato(seed): m = 50 np.random.seed(seed) - ts = [np.random.rand(n) for n in [64, 128, 256]] + tss = [np.random.rand(n) for n in [64, 128, 256]] - rad_naive, tsind_naive, ssind_naive = naive_consensus_search(ts, m) - rad_ostinato, tsind_ostinato, ssind_ostinato = stumpy.ostinato(ts, m) + rad_naive, ts_ind_naive, ss_ind_naive = naive_consensus_search(tss, m) + rad_ostinato, ts_ind_ostinato, ss_ind_ostinato = stumpy.ostinato(tss, m) npt.assert_almost_equal(rad_naive, rad_ostinato) - npt.assert_almost_equal(tsind_naive, tsind_ostinato) - npt.assert_almost_equal(ssind_naive, ssind_ostinato) + npt.assert_almost_equal(ts_ind_naive, ts_ind_ostinato) + npt.assert_almost_equal(ss_ind_naive, ss_ind_ostinato) From 4c5b90dd98de7d983007a9b576a091370765a2ae Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Tue, 24 Nov 2020 19:05:05 +0100 Subject: [PATCH 19/25] Implement Sean's suggestions to notebook --- docs/Tutorial_Consensus_Motif.ipynb | 262 +++++++--------------------- 1 file changed, 61 insertions(+), 201 deletions(-) diff --git a/docs/Tutorial_Consensus_Motif.ipynb b/docs/Tutorial_Consensus_Motif.ipynb index c21750fd9..56765a088 100644 --- a/docs/Tutorial_Consensus_Motif.ipynb +++ b/docs/Tutorial_Consensus_Motif.ipynb @@ -35,6 +35,7 @@ "import numpy as np\n", "import pandas as pd\n", "from itertools import cycle, combinations\n", + "from matplotlib.patches import Rectangle\n", "from scipy.cluster.hierarchy import linkage, dendrogram\n", "from scipy.io import loadmat\n", "from scipy.special import comb" @@ -51,44 +52,12 @@ "fig_size[0] = 20\n", "fig_size[1] = 6\n", "plt.rcParams[\"figure.figsize\"] = fig_size\n", - "plt.rcParams['xtick.direction'] = 'out'" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# For downloading data from Google Drive\n", - "# from https://stackoverflow.com/questions/38511444/python-download-files-from-google-drive-using-url\n", - "def download_file_from_google_drive(id, destination):\n", - " URL = \"https://docs.google.com/uc?export=download\"\n", - "\n", - " session = requests.Session()\n", - "\n", - " response = session.get(URL, params = { 'id' : id }, stream = True)\n", - " token = get_confirm_token(response)\n", + "plt.rcParams['xtick.direction'] = 'out'\n", "\n", - " if token:\n", - " params = { 'id' : id, 'confirm' : token }\n", - " response = session.get(URL, params = params, stream = True)\n", - "\n", - " save_response_content(response, destination) \n", - "\n", - "def get_confirm_token(response):\n", - " for key, value in response.cookies.items():\n", - " if key.startswith('download_warning'):\n", - " return value\n", - "\n", - " return None\n", - "\n", - "def save_response_content(response, f):\n", - " CHUNK_SIZE = 32768\n", - "\n", - " for chunk in response.iter_content(CHUNK_SIZE):\n", - " if chunk: # filter out keep-alive new chunks\n", - " f.write(chunk)" + "# Japanese characters in first example\n", + "plt.rcParams['mathtext.fontset'] = 'custom'\n", + "plt.rcParams['mathtext.bf'] = 'Noto Sans CJK JP:black'\n", + "plt.rcParams['mathtext.cal'] = 'Noto Sans CJK JP:normal'" ] }, { @@ -108,22 +77,24 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ + "context = ssl.SSLContext() # Ignore SSL certificate verification for simplicity\n", + "T_url = 'https://zenodo.org/record/4281189/files/S2_Database.zip?download=1 '\n", + "T_raw_bytes = urllib.request.urlopen(T_url, context=context).read()\n", + "T_data = io.BytesIO(T_raw_bytes)\n", + "T_zipfile = zipfile.ZipFile(T_data)\n", "snt_oi = [6, 7, 9, 10, 16, 24]\n", - "f = io.BytesIO()\n", - "download_file_from_google_drive('1r1-jNqTFpqSQ8XOBLp0uPKtT4DE6h5SZ', f)\n", - "f_zip = zipfile.ZipFile(f)\n", "eye = [None] * len(snt_oi)\n", "fs = 50 # eog signal was downsampled to 50 Hz\n", "for i, s in enumerate(snt_oi):\n", - " with f_zip.open(f'EOG/S2_Database/continuous1/001/test/EOG_001_01_{s:03d}.csv') as csv:\n", + " with T_zipfile.open(f'continuous1/001/test/EOG_001_01_{s:03d}.csv') as csv:\n", " eye[i] = np.genfromtxt(csv, delimiter=',')[:,0]\n", " \n", "# the literal sentences \n", - "with f_zip.open(f'EOG/S2_Database/continuous1/common/test_sent.jp.txt') as csv:\n", + "with T_zipfile.open(f'continuous1/common/test_sent.jp.txt') as csv:\n", " sentences = pd.read_csv(csv, delimiter='\\t', header=None, index_col=0)" ] }, @@ -136,22 +107,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "Text(0.5, 0.98, 'Vertical eye position while spelling different sentences')" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -168,13 +129,15 @@ " prop_cycle = plt.rcParams['axes.prop_cycle']\n", " colors = cycle(prop_cycle.by_key()['color'])\n", " for i, e in enumerate(eye):\n", - " ax[i].plot(np.arange(0, len(e)) * fs, e, color=next(colors))\n", + " ax[i].plot(np.arange(0, len(e)) / fs, e, color=next(colors))\n", + " ax[i].set_ylim((-330, 1900))\n", " plt.subplots_adjust(hspace=0)\n", - " plt.xlabel('time [ms]')\n", + " plt.xlabel('time [s]')\n", " return ax\n", "\n", "plot_vertical_eog()\n", - "plt.suptitle('Vertical eye position while spelling different sentences', fontsize=14)" + "plt.suptitle('Vertical eye position while spelling different sentences', fontsize=14)\n", + "plt.show()" ] }, { @@ -189,21 +152,21 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Found best radius 0.871919240120116 in time series 4 starting at 1271.\n" + "Found best radius 0.87 in time series 4 starting at index location 1271.\n" ] } ], "source": [ "m = fs\n", "rad, tsidx, ssidx = stumpy.ostinato(eye, m)\n", - "print(f'Found best radius {rad} in time series {tsidx} starting at {ssidx}.')" + "print(f'Found best radius {np.round(rad, 2)} in time series {tsidx} starting at index location {ssidx}.')" ] }, { @@ -215,19 +178,9 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, { "data": { "image/png": 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\n", @@ -257,26 +210,27 @@ " plt.plot(x, e[nn[i]:nn[i]+m], lw=lw, label=label)\n", "plt.title('The consensus motif')\n", "plt.xlabel('time [s]')\n", - "plt.legend()" + "plt.legend()\n", + "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "There is a striking similarity between the snippets. The most central seed motif is plotted with a thicker line.\n", + "There is a striking similarity between the subsequences. The most central seed motif is plotted with a thicker line.\n", "\n", - "Highlighting the motifs in context we see that they occur at different times." + "Highlighting the motifs in context we see that they occur at different times. The discovered pattern corresponds to the Japanese character ア which occurs at different positions of the example sentences (see the sentences in the top left corners of the subplots)." ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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tKeP32mzN0toAC/Mq+eWJY9sMEjW64tDh3PzqcuZtKu80YPHB6mJyUuI4YnT76/3k2NG8uqSAZ+Zv5ef7+ABFc4VVPpblV3PsuOxOs/sOH9WPG2aO4umv8rj2yUV8+suZpCeqZpGI9K49HiiyLOsk4N+AE/ifbdt/29NtkN7x4qJ8bnrpa9IS3Ly2tJC/vbuGiQNTmDQwlQMGp1FeHyQj0UNabOpYR/P9n/4qj4r6AE9eNb1F2nRSnItLZwzl/VXFfLW5nGPGtX9S8p8P1hMIRznjgIGt7otzOTll0gDe+rrwGwdC9hYvL8pvVaSyIRgm3u3kyS/zuOX1lSzeWsmBQ9tODy+tDeByWKTFpvQNiI0MbqtsYExOco/b9fG6UgCOHpPdYrnTYfH9I0bw51mrWbClgoO+hWnrXfFJ7P/X1UyNnx03mre+LuSxLzbzyxPH9eg5X19awCOfb6agysfUIensNyiVOJeTibkpjOufQmq8G4cF4aipUdM8ULMnfLKulFDE5k9nTezwub8zJZc5q4v5eG1Jh/+/Wn+I5xZs4/xpg/nb2ZM7HGW/fdYqHp27hRp/iBRvx9NfI1Gbx+dt4cCh6Vw6Y1ir+0+Z3J+5G8qwbbvTkf17P97AU/PymDwolWSvm1eXFLSYytZocm4qr1536G45mbVtm5cW5XPg0PSmIBGA2+ng0hlDufO9tawtqmVs//b3F8/N38oDn25ic1k9A1O9TBiYQrzHRYLbyZDMBIZlJnLQ8HSyk79dmQnNzdtUTlKciwMGp7V5/1lTcrn34w3c+f7aLk9l2VJWz+cbyvjF8WP40bGjm5aX1gb4v/fXsaGkllHZPd/P7wu+3FROKGJz+v6tg29nHpDLOyuK+GxDGTPHZrfx6N735aZyAA4b1XHw57tTc/nnnHXc+vpKXrnuUJLb2Y8t3FLBeyuLufSQoR3un4ZmJnL0mCyenb+VG2aO2uPHg96SV94A0KXBRsuyuPHEsZw8uT+n3v05ry8t4IouTP0TEdmd9uje2rIsJ3APcDIwAbjQsqwJe7IN0nteWLCNEVmJLP7d8bx63aFcc+QI3E4Hzy3Yxq9fWc6d763lN68s54dPL+ahzzZ1uK05q0o4dGQ/xg9IaXXfQcMySPa6eHPZ9jYeucOivEoOGprRbkr9mVMGUh80tUP6uuIaP4XVfg7fqYOY4HFhWRZnTx1EstfFne+tbfdKZiW1ATKTPE0BvP1jJykLt3yz6WefrC0lJyWO8QNan4RcfPBQMhM9/OfDDd/oOfqqcCTKorwKFuVVsK2ioenKc80tyqtkRL/ELmcHjchK4uRJ/XniizxKartfY2rptip+8cIy8it95KbF88GaEv7v/XXc/vZqLnroK6b+aTajfvs2w3/zNmN/9w7fuXdum+3enT7fUEb/FG+HU/EATpiYQ05KHE/My+twvZWFNQTDUU6a3L/TgM3xE/oTjtp8GgvgdeTjtSXklTdwxaHD2rz/6LHZbK/2s3RbVYfbqWoI8n/vrSUYsVlRUMNrSwo4b9pg5t98LMtuOYGvbj6Wt350ONceNYLlBdVNdZt2tbzyBjaU1HFmG8H3iw8eQoLHyX0ft/9d3lxWz29fWwHAqZMHMCk3lU1l9awsqOaDNSXc+d5arn9mMSf96zPyKxt2y2voC77cVM704RntBvucDovfnzaBTaX13P9xx8fSRp+tN5/XMw/IbbH8wulDiHM5uK+L2+kt1b4QW8rqCUWiu+05vtpcgdftYHJuWqv7Zo7Lol9SHHe9v47wbmzDN/FlLMA4aWDrflNzXreTf59/AJvK6vld7PvYls83lGFZ8IsTOs8SunTGUEprA7y/qqjb7e6rCqp8uBwWOd24cuvEgalMHJjCy4sLdmPLRES6Zk9nFE0HNti2vQnAsqzngDOBVXu4HXu9xsLMbqdFfTCCBSR4nIQiNm6nhW2bqUDJXneLbJdgOIrbaVFaG8AfihKNzSvyuBzEuRx43U7iXI5vNJpcXhegyhfCYVk4LDPimOBx4XU7sCwLp2URtW3qAmEclkVpXQBfMMLCvEpuOmksDofFlCHpTBmSjm3brCyswemwSE/wUF4f4J+z13HHe2sprPJx1pRcpuwUyPEFI6wvqeXEiW1nAHjdTs46IJdn52/lR8eMajGy3SgcibJqew0XTR/a7us8eHgmuWnxPDp3M6dOHtBnrmjSlsYruO0/uO1aLIlxLn57ynhufnU51z29mMeuPKjVCfG64toWJ94j+iXSP8XLR2tLuOjg1tP3uiIUifLp+lJOmTSgzRPweI+Tq48Ywd/fXcPSbVXtjqD3JYVVPm57YyUD0+L55Ylj250eOXtVMbe8voLtOxUMdzksLMtkaYzOTuLrgmrOmdr2FJT23HjCWOasLuHmV1Zw78VTuzXC+8c3V5KdHMc7Pz2S1Hg3wXAUy4Jaf5iv86vYWFpPUbUPXyhCXnkDn60v46kv87j6iBHdamNPRaM2X2woY+a47E6DOm6ng4umD+Wfc9axuaye4e0UAl+93dQPmthGYHpnU4ekMTDVy6Nzt3DypAEdTml7c1khmYkeTprU9lXoTp7Un9veWMlds9fxxPemt/t65m4oJ2rDA5dO5cChGa0ykFJxk5PiZWhmAg9/tpnZq4o5eDfUPZof28/MaGPbaQkeLjlkKP/7bBM/PW5Mm0XX//PBejxOBy9cO6PNwGd9IMyybVVc+dgC/jl7Pf84b/9d1vbqhhCldX6G90tqes+isfpTXbWioJpXFhewvdpHaW2AOLeDtHgPaQlu3E4HSXEurj5ieJcug72tooFFeZXUBsIkuJ2U1gWIRM3xf1NpPRe2MWW6uaPHZnP6/gO556MNnLrfAEZldxw0/XJzBQNSvQzOaFmMOTMpjksPGcojczdz/cyRbR5Pe0soEuXxL7bwzFdb2VRWD5j9Y3qiB4cFkShN34VpQ9P57anj272SV60/xIdrSvhqcwVuh0WNP0xeeT1et5P+qV5yUrw8v2AbR47OanN/Gedy8oczJnL9M4u5+8MN3Zpi1RjkaghGSE90k5HoId7txONysL3KT3GNH5fTYuqQ9C7VnKpqCLIorxKHZZk+n9uB07L4eG0pBw1L71L/79BR/fjxMaP555x1nDxpQJv7qBUFNYzol9ilz/NRY7IZnBHPk/PyOG2/1oHkvUljZuTcDWXUByNkJ8WRmuDG6bDwOB0EwlEiUZsDBqd1uH8vqPIxINXb6bTmnZ09dRB/fGvVPtPn6Yht2/hD0X0ia19kX7SnA0W5wLZmf+cD+/zE91WFNTy3YCvLtlWRluAhHI1SXhfE6TAHcY/TQW0gRJ0/TK0/jMtpUVIbwLYh0eOkvvGy5C5zgHI6TDAmGBu18rodpCd4qA+EqfGH8bgcBMMdj2jtvA2Axv6H1fS3tdPf5nH+UM9Gy+JjAZzmLMtiUu6O4EX/VC93nX8AFz30JY/Py+OlRfm88aPDWwQoVm2vIWrDhIHtF6D90bGjeGVxPn95ezX/u/ygVvebq/FEmZTb/omf02Hxo2NG8etXlvO3d9dw8ynju/Nyu2VjaR2Pzd3SdHLhsCwszP+n2hdiRFYi1x89itSE9qeyrCioZuGWClZvr2XV9hrWl9QSiti4HBZOh6nL0tE8+QumD6EuEObPs1bz4ZqWU3FCkShrimq5fMaOwJplWZy23wAe+2ILm0rrenQCsTivklp/mJnj2k/NvnTGUO7/ZCP/nrOOR65oHcDqTf5QhL+9s4a3vi4kNy2ew0b14+JDhpKb1v6Vb/7z4YamyxK/u6KI6cMzSIl34Yi9Lts20/k+XlvKuP7J/O7UCSTGOSmpDVBaG6A+EMYG6vxhFmypYMaITH7ehRHd5kZkJXHTiWP586zVfOfeuXzvsOHsPziVEf2SOjwx3lRax+KtVfzu1PFNVxVsPGnKSPRw9Nhsjh7b8jEXPfQl93+yiYsPHtppZzAQjrCysAa3w8HonKQu1aj5ZF0ppbUBRmQlMiYnmfXFtVQ2hDqsmdHchdMH858P1/PkvDxuOb3tBNdVhTVkJnq6lLXlcjr46XFjuOnlr/nTW6u47Yz2i9uu2l7D/oPT2r2yYrLXza9PHsctr6/k6a+2cskhbQe2l2ytxONyNH2/2/uOJHvdHDc+h5cX5/Pj40Z3OjVuZxtL63hjaSGJcU4mDUzFsiy2lNfHBgucvLqkoMNMrquPGM5jX2zh3o83cMc5LYM8oUiU91cVc9aUge3+nxPjXBw6ql9T4OLKw4a1OH70xIqCau79eANzVpUQjESJdztxOSxC0SiBcJR+SXEkxbkYk5PEHefs3+bVNG3b5vEvtnD726ub9rVZyXH4ghG2V9dQ1RAiHIlSH4zw0qJ8rp85kpnjspv2E4FwlBpfiPdWFpFf6WNZfhVfbqpot839kjycPLnt4GJzt5w2gU/WlnDDM4v5+9n7kZsez5rttZTW+Zk4MJXs5Lim1zN/cwWHjsxs87Pzg6NH8vRXW/n3B+u7dJGI5uoDYTaU1OGMBbi3VfjIr2wgxevm3GmDOtyfR6I2f3l7NdsqGpgxMpP9B6ex/6A0yusCzN1Yxv8+28zKwhqmD8/gnGmD6JcUR155PeV1QWwbHA4zmBUMR3nz60LeW1XE2JxkguEoBw3LwLJMvyoYifLWsu3UBkz/KRK1yUz0MCo7CX8owpcbyymOfcZ/ePTIdtt7yuT+fHdqLnd/sJ6MBHenU4fyKxv4zSvL+WJjeZvTRB0WNF98zLhsfnDUSMbkJMUe78MfihAIRymo9LG5vJ4vNpTxdUF1mxf5ALj9O5M6bFNz180cyZzVxfzyxWWMzEpk9E5TzFcUVHPIiK5NCXc6LC49ZCh/eXsNt72xkl+fPK5XapBV1AfxuBzt1scsqvbzy5eW8dn6MrKS46hqCBKKtP3PPH58DucfNLjd5yqo8jG6kwBtW847aDD//WgD/3h/7R6pDWbbNvXBCLZtU1FvXm+NP0RSnIuK+iDBcJRqX4htlQ3U+sNYmO9UMBIlEIrii2UMB8IRMhI91PrD2DaxgFqUOJeTGn+IGn+I+sCO7OKMRA8V9UE2l9WT4nVx13kHNBX3FpG9w54OFLXVI2i1B7Ys6xrgGoAhQ3qWqbA3Karx8dKifCYMSKGkNoDH5SA3LR7LsvCFwgTDUbKTvYzo5zIFmYORpkKD5XVB+qd6sSzIK2tgQJqXUCRKOGIzMC2ehmCEyoYgFfVBEjxOMhPjqPGHGJQeT4rXjcNhTjxDkSj+UJRAOEIgFMUfjhCJgsdpmQhQrFfR+GY0djLs2JLGvwPhKAPT4umX5MG2IWrbuGMjLI7YpiJRs9zrdhKORBmckUBJTYCJA1MY2MEJdKMUr5s3bzic7dV+TvvP51z/9GJeve6wppPMT9eVYlmm2HF7spO9XDdzFHe+t5YvNpa1Ksi4oqAaMPU6OnL+QYNZvb2GBz/dhC8Y4TenjGP+5go+WVeKx+nguAk5eJwO4mLBulp/iEgU0hPdEOuoZiZ62u0Ml9T6+c3Ly/lgTQlet4PB6QkEI9Gm/61tm47sB2uKeXJeHhdMH8zMsdlMG5ZOYZWfFQXVVPtCvLI4n2X55jVlJHqYMCCFi6YPJcHjpC4QJhA2l65t74S00WUzhvHs/K38/IVl/OPc/TlyjBk9bZx6M3mnQNP3Dh/OK0sKuPzR+Vw+YxhThqQxZXB6U7BhfXEtLyzcRl0gQigSpSEYxheMMCYnmazkOD5YXYLLYXVYMyEpzsV1R4/kr++s4bEvtnTpkr3NVTeEeHjuZraU1VPjD7G+uA630yI7xYsF1AfDFFUHSPa6+O9FU5jYRgAyGrWpD4bZUtZAOBqlpDbAioJq3lhWSF55A6dOHkBJrZ8HPt3Es/O38tIPD23zZDkcifLuiu2csf9ALpw+hIc/38SSbZXU+U3wp/FTkuBxceMJY7jmyJG7rZ7D1UeMYGBaPH99ZzW/eHEZAMeNz+F/l09r9zFfbDQ1Lo7vRmfuZ8eP4dz75/HYF1vaPclalFfJK4vzeXNZITV+M/XR5bAYkOalf4qXv529X5v/zxUF1Vzx6Pym/VO820my14XLYXHM2K61MTvFy2n7DeCZ+XlccsiQNgOeq4tqmDAwpctByvMOGsza4loe/nwzwzIT2jxh9IcibCyt54QJHZ/wX3LwUGavKub2Was5fFS/NjNxVhfVMK5/cqffbzAnf++vKuKvb6/mL9/puN5So7VFtfxrzjreWdH5tJE7ztmv3WBjdrKXi6YP4akv87jo4KEtRsuXbquiLhDuUj2P62eOYtby7fzw6UX858KpPR51/3RdKdc+uQiv28Elhwxl3IBkVm+vwcJk8zodJju3xh9izuoSvv/4Qr53+HAGpHopqvGzKK+SivogKwqqWVNUyzHjsvnHufu3W4R22bYqbn1jJb9/fSW8vhKv2wzqNA8GeFwOBqR6+dVJ4zhyTD/SEzz4QhGykuPwOB1sq2hgQFp8ly4EkZUcxz0XT+WHTy3mzHvmtrmOx+VgRL9ESmsD7R5T+yXFccVhw7j/k41cffiITq8SWOMP8dSXeTy/YFtTnZa2bC6v51cntV8n7cWF23j4882keF1NwfUEj5OG2OBZblo89108tUsFu392/BieX7CNxVsrsSyLOauLcTgsc8IbjnLchByuOHQok3JT8Tgdrb4XkaiNbdsdZuNYlsUdZ+9Hjc8MuISjNlceNrzNjJLCKh9n3TOXQDjKD44awQGD00mMc1Jc46cuEKE+EKbWH2JoRiJZKXHM31zBE19s4cM1Je0+v9NhMWVwGj851lw1y+20mvp94YjN0MyEVsGejridDu6/9EDO/O9czr7vC86akssVhw5jRFYSpbUBimr83QrUXnnYcLZX+3l0rnkd5x80mENHZtI/1cuA1M77huuKa6kLhPE4HWQlx5EY52JreQMV9aaf3FnW3NwNZVz+yHziPU4umzGU70zJpS4QobQ2QFldgO3Vfh7/YgvBcJQ/nzWJiw8ewrsriqj2haj2hbCAUMTG6bD4dH0ps1cXs//gVMb1bz3g6AtGqKgPdjho1J7GPs+fZ63mwU838v0jRvR4gMwfMq/PDDT5Ka0N8HV+NcW1AXzBMEU1foprAp0OLjdqnNEQ53Lgif3Eu51EbBuXw0GNL2RqFDqspkHKYDhKaryb7GQvCZlOHJZFxLapqAsyMM3LseOy8YUi3ZqiJyJ7hmW3N+ywO57MsmYAt9m2fWLs798A2Lb91/YeM23aNHvhwoV7qIW7RyRqx4Ioe08mRF/x8doSrnh0AVnJcQzNSCAj0cO8TeWMzUnmpR8e2uFj/aEIx/7jEyJRm3sunsLonGTWFdUS73Hy8OebeW9FEV/fdmKnacGRqM3ts1bzyNzNTcsaH9PWKODOkr0ujhufw7j+yWyrbCAzMY6SWj/5lT6WbK0iFInyo2NGcd5Bg9st0Lp6ew33fryRd1dsb3N0a2hmApccPJTT9h9A/xTvN/qsbato4IIHv6Sgyke/pDjuPGc/lm6r4t8frGfh746jX1LL0f6vNpVz1eMLqYvVNspNi+eEiTk4LIunv8ojErVJjffgcVp4PSaDbmNpHaGITaLHyY+OHc0Pjmp/lBZMoObqJxby4ZoSfnj0SH55gpnCaNs2a4tryU2Lb7Pg5pKtldzwzBK2V/sYnJFAstfFsMxELMuiqNqHbZv3JzXezecbyqn2BRmZlUSc24k31gkKR2yWbqtqGjVrZFlw0NAMfni0yQ4Ak3Fx3v3zcDsdPHDpgU11nMAEaz9YXcwPnlrMA5ceyIkTO88I2BMiUZv1JbW8sCCfR+Zu5pnvH9zulW6uf2YxC7dU8OVvju3WZ+zqxxfw0dpSLpsxtCmrsD4Qpi4Q5u3l23ltaSFxLgcnTerPyZP6E4nCqu3VbKvwMXdDGVHb5t2fHtmqI3nzq8t5eVE+L/5gBsU1Ad5fWcS6kjrOmZrbZnHo9hRW+TjtP58T73Zy57n74bQsBmUkMDDViy8U4YA/zuaKQ4d1K6swErX5wVOL+HBNCfdfciDHjMtusa9Znl/N6f/9nHsumtrpVf22V/s44Z+fkp7gYcqQNA4dmcmp+w0kKc5FJGoz9U+zOWlif/5+zn5dattf3l7Ng59uYubYLP51wZQ2s2Qazfp6Oz95bglup4PvHzmCSw8ZitNhsbKwGodlMSQjgdQEN9UNISJRu81AVnPVDSFOufszAH5y3GhcDous5Di+2FjOA59sZMktJ3TYnkZLtlZy1eMLqagP8vPjx3D5ocPazfZp3E9HbVOvbUt5Pe+sKOL5BdsYnZ3EE1dN77Q49kuL8rnl9RVNQQowQZZ+iR6yU7xcdPAQzpk6qNOparZts2RbFSsKqskrbyDe7STe4yTe7WT/wantXkzgmyis8rEwr5JNpXUcMDiN/qlelm2roqwuSEGVj82l9YzKTuLGE8e2+7+v9oU44Z+f4HU7eeSKg+if4iXB4yRqm8yX2kAYOwobSuu48cVlbC6r57BRmcwYkcmo7OSmafCD0xMYlB7Pne+v5ZmvtvLrk8dx7ZFtnwhf+OCXlNT6mfPzoyio8jF/cwULtlQyOjuJ/QenthiU2JtUNQT54VOLmbepnKlD0rhg+hCGZiQQFxs8C4aj/P29tWworuW16w/rcvCm2hfi47UlFNf4CYajjM5JJj5WTiA90cOQjITdkqWzuayeO99bw5zVJYQiUQ4f1Y+cFC8vLcrn+WsO6fY01s/Xl/GvOetY2KxW2oXTB/Pnsya32R9bvb2Gv7+7ho/Xtl/3zbLgb9+dzHnTBrd7bLr4f1+yKK+Sw0f1a3HF1+amDU3njnP2axowmLOq7RqVgXCEP765ivpghF+eOLZVQGhFQTX/+mA9Pz12dIfBtPYyaMKRKNc/s5j3VhZz6uQBXHnYMCrqg7yyuICoba7ymxxnBpfj3U68bicZiR4+WF1CXkU9lfUmuFXXRs3JRI+T0TnJeN0OclLMYExKvBvLMsF8t9Mi0eOiIRQhM9GD1+0gMc7FoPSEHl+pWET2bpZlLbJtu9VI8Z4OFLmAdcCxQAGwALjItu2V7T1mXwgUyTcze1Uxry8toLwuSHm9qcv097Mnd+kKLCsLq7nmiUUUVPla3XfBQYP529ldO7EC+GJjGe+tKGJUTjInTsjB7XSwMK8ShwX+UDTWNheRKE3Fe8ORKCsLa3hvZRE1/nDTVMJ+SR4GpsUzYUAKVx0+vMsdxYZgmAVbKlm6tYqs5DimDUsn2esiKylul17FyB+K8Nn6Mu58bw3riusAc+WOx783vd31KxuCfLWpgteWFvDZenNyf8ToLP5x7v6tppLYtk2NL0yc29Hljm0wHOW2N1fyzFdbGZOTxPgBKeRX+liUV0n/FC+/PXU8Ewem4AtFSPG6eWfFdu54dy39U73cc9HUFkGbtpTU+Hnos03klTfgD0fxhyJN9XcmDkwhJ9nL6BwTRIp3O5k4MKXN4NTq7TVc/fhCSusC3HzyODKS4nhvZREfrymhPhhhYKqXD288eq+79Lc/FOHoOz8m2evipR8eSmq8m5JaPzW+MGBT4w9zyf++4swDBvLX73b9ewOm/sdf3l7N8wu2sXNsNc7l4KrDh3P9zFFt1mvaUFLHaf/5jAOHpvPw5QfhdTuJRs3J9hWPzOeY8dndng7TlhUF1Vz44JfUNutYJ3td2DbUBcK8/MMZ3T6JrwuE+e69c1lXXEe828nMcVnMHJvN+AEpLNlaye9fX8mHvziqS9M2P1xTzG9fXUEoYlNWZ6bBnDJ5AIPTE/jnnHX858IpnL5/12p/RKM2T8wzU6WykuI4c0ouA1O9DMlMxO2wqA2ESU/wsHRbJX9/dy1TBqfx0GXTdtnlmlcUVPP9Jxa2qr918PAMnr92Rpe3UxcI86uXvmbW8u143Q6+O3UQA1K8rC+pw+UwgenP15extaJ1VkvjVJifnzCmy1Pw/CEzNbKiPkh6gpvJsav9fVss3FLBRQ991WrKutflbBFIT09wc/8lB3YYQIhEbW54ZjHvrCjisFGZ/Pz4sWyraOCrzRXU+EM0BMJ8tLaUnx03hp8cN7rd7eytbNvm1SUF/OXtNZTVBVrd73JY/PeiKZw0qfNsqL1FaW2AJ+dt4aVF+RRW+5mcm8rr1x/W42BdSY2fLzdXsGRrZaymW38uP3QYkahNTorJnr9r9jpmryomxeviupmjGJ2dRH0wQnVDkIZghH5JceSkeLn/k418vqGM6cMz+MXxY/C4HLFsd5NNtba4llteX8kvTxzL9TNHsaGkjiVbK8lI9NAvKY6s5Dgykzytvs/tBYrABJ3veG8tDcEwx8f6hPkVPmr8IYpr/PhCEf59/pQOs4I7mmoVjdrc/+lG/jl7XdMAYf8UL2kJbmr9ZqClLhBuMWCZkehh/0GppCd4SEvwkJlkpkxnJceRlRRHdkocGQme3XLVSxHpu/aKQFGsIacA/wKcwCO2bd/e0foKFMk3VesP8criAvyhCCOyksxc64oGrjxsWJeKMO4KoUiUyoYgWUlxhCJ2n7k8rD8U4eXF+Wyv8nPV4cO7fKIYCEfaTN//pmzb5rWlBTzz1VbyyhtIinNxwsT+zFldzIaSulbrnzgxp926IrtTRX2QHz+7hM83lAFm6sbxE7IZ3i+REyf2Z2hmx1kXveWLDWVc9sh80hLceN1O8itbBljdTovnr53R7pUCO7O1vIG1xbU4LFNvJinORW5afKefqxcWbuOml75mypA0hmYk8NHaUqp9IRI9Tl69/jDGdGM6RWftW15QTZLXxbaKBtYV11Jc42fm2GwumN6zadC1/hBvL9/OsvxqZq8qprR2x0ljarybxb8/vlvFTm3bZvHWKl5atI03l22nLhBmVHYSr11/WLdHe+dvruDfH6xj7obydteZOTaL/140td2i6z0VDEfZWtGAy2GxrriWLzaWc/URwxmU3nax4Y6sKKjmyXl5vLq0gGA4yuCMeKJRcyJ30LAMDh6RgTO2L0pP9DA0M4Gx/ZM7zSKS1jaW1vHVpgpq/SFTP9G2qQtE6J8ah9PhICPRzbHjc7oUfItGbZ6Zv5Vb31jZdLKb4nXRLymOeI+TEVlJ/P3sySR4+m4WQzRqs2p7DdW+EIFwBJfDgcthMbRfYo+mJe0N6gNh3lhWyEkT+++y4PH9n2zkH++vbZUxHe92ct3RI7nkkKEdPlcwHOXZ+Vv570cbWuxjmxuUHs/r1x9GZlLXrhAKHQeKACobgjwzfytLtlYBNNX9So13M2FgCkeO7ngqbVdq8pTWBlgWu/Ll0WOzWgR5bNsmHLWpD5hpZEMzElUYWkS6ba8JFHWXAkUi0plI1ObLTeWU1QVwORzU+kMMyUxgxoi2i7PuCeFIlI/WlpKR6OaAwendvvJJb/lyUznPzt9qCsYPSGFgmheHZWoNjMpO2mVBme56fWkBv3zpa9wOi1P3G8ChI/sxc2x2hwXe9zaNUyU3ldazsrCaY8fn9DjoBiaQW1jlY1hm4jeaglMXCFMfCJNXbmpwpXjdlNcHyUz0MLEbtZl6W10gjD8UaZoeu/PV32TvtK64lvXFdQzNTGD8gJQ+s6+UXaugysem0jrcTgdbyxsIRaOcPGkAGd0IRlU3hHhnxXbSEjyEIlGSvC7cDgc5KXEMzUzs9iBdZ4GiRnWBMNiQ5O1eUFPFm0Vkb6BAkYiI9Gm1/hBOh9WnMwxERKRv6GqgqKcUKBKRvUF7gSL1tkVEpE9oqyaUiIiIiIjsWn2jUIqIiIiIiIiIiOx2ChSJiIiIiIiIiAjQB6aebdmyhWnTWk2ZExERERGRLqrxh3br9rtytTsREdnrTG1r4V4fKBo2bBgqZi0iIiIi0nMqziwiIjuzLGtxW8s19UxEREREpK94+fvw+Bm93QoREdmH7fUZRSIiIiIiErP8BXNbXw6Jmb3bFhER2Scpo0hEREREpK8pXdPbLRARkX2UAkUiIiIiIn2Nv6q3WyAiIvsoBYpERERERPoaX1Vvt0BERPZRChSJiIiIiPQ1yigSEZHdRIEiEREREZG+IBrd8bsyikREZDdRoEhEREREpC8I+3f8rowiERHZTRQoEhERERHpC0INO373V/deO0REZJ+mQJGIiIiISF+gQJGIiOwBChSJiIiIiPQFId+O34P1vdcOERHZp3UaKLIs6xHLskosy1rRbFmGZVmzLctaH7tNb3bfbyzL2mBZ1lrLsk5stvxAy7KWx+6727Isa9e/HBERERGRfVTz4FDz7CIREZFdqCsZRY8BJ+207NfAB7ZtjwY+iP2NZVkTgAuAibHH3GtZljP2mPuAa4DRsZ+dtykiIiIiIu1pzCiKS4WgAkUiIrJ7dBoosm37U6Bip8VnAo/Hfn8cOKvZ8uds2w7Ytr0Z2ABMtyxrAJBi2/Y827Zt4IlmjxERERERkc40BooSMyGkqWciIrJ79LRGUY5t29sBYrfZseW5wLZm6+XHluXGft95eZssy7rGsqyFlmUtLC0t7WETRURERET2IY3TzRKzlFEkIiK7za4uZt1W3SG7g+Vtsm37Qdu2p9m2PS0rK2uXNU5EREREpM9qDBQl9FONIhER2W16Gigqjk0nI3ZbElueDwxutt4goDC2fFAby0VEREREpCuaMooyze/RaO+2R0RE9kk9DRS9AVwe+/1y4PVmyy+wLCvOsqzhmKLV82PT02otyzokdrWzy5o9RkREREREOtNUoyiWca+sIhER2Q1cna1gWdazwNFAP8uy8oFbgb8BL1iWdRWwFTgXwLbtlZZlvQCsAsLA9bZtR2Kb+iHmCmrxwDuxHxERERER6YrmNYoa/45L6r32iEj7GmLXg0rI6N12iPRAp4Ei27YvbOeuY9tZ/3bg9jaWLwQmdat1IiIiIiJiBBvA4QJvauxvXflMZK9UWwT/GAujjoNLXu7t1oh0264uZi0iIiIiIrtDyAfuBPMDmnomsrcqWmFuN8zp3XaI9JACRSIiIiIifUGoAdzx4Ek0fwcVKBLZK/mrersFIt+IAkUiIiIiIn1BY6CoKaNIU89E9kr+6h2/NxahF+lDFCgSEREREekLQj5wJ4InFihSRpHI3ql5RlFdca81Q6SnFCgSEREREekLmjKKGqeeKaNIZK/UPKOorrT32iHSQwoUiYiIiIj0BSFfrEaRpp6J7NV8Vc1+r+y1Zoj0lAJFIiIiIiJ9QbC+5VXPNPVMZO/krwbLGfu9qlebItITChSJiIiIiPQFIZ/JJmq86pkyikT2Tv5qSB9qfm+eXSTSRyhQJCIiIiLSF4R8JpvI6THZCsooEtk7+asgbciO30X6GAWKRERERET6glC9qVFkWSarKKRAkcheyV8NCf3Ak6SMIumTFCgSEREREekLGotZg8ks0lXPRPZO/mqITwNvmjKKpE9SoEhEREREZG8XjULYD+5YfaK4JAjU9m6bRKQ12zZZRN5U86OMIumDFCgSEelLqgugMs90QkRE5Nsj7DO3jRlF8enKVBDZGwXrwY6YbKL4NH1PpU9y9XYDRPYa0YiZ679lrhmlyz1wR2dM9h6REGz8yByAyzdCaq5ZPuo4iEvu3bbtLuvehy/uhvoyKF1tlo08Fi58Dlye3m2biEh35S+CvLlQuhaS+8O0KyF1UG+3au/XWLjanWBu49Ohrrj32iMibfNXm1tvqgkWVW7pzdaI9IgCRSLhAMy7BxY/AZWbdyz3psLlb8GA/XqvbdKSbcOzF8KG2a3vcyfChc/CiKP2fLt2pw1z4LkLIRqGITPgqF+bYqZf/AfWzoKJ3+ntFoqIdM32r+Gtn0LBopbLN8yGaz/tlSb1KY2Fqz3NAkWla3qvPfLtEA7Ctq9MfyRvLjjc5jM48hiYfB4kZfV2C/c+jRlE3lSTUVRY2ZutEekRBYpEvrwPPviD+X3o4XDQVSZr5e1fwid/hwue7t32yQ5r3zEnFEffDP0nQ/owU6+hoRxevRa+emDfChRFQvD6jyBzFFz0AqQPNcujEVj6DKx+S4GinoiEoXqbOcEafQI4nL3don2DbZsrMYm0Z/bvoWKz2YdPvRSS+sPn/4AP/wxVW3dcSnpfU1sEn/0DytaDN8Xsw11xYDlg0HSTUeV0d76dUBtTz1T7pG11pVC83PzvK7fAIdeZE3bpumjU9K02zAZfs0BHxkgTtNwwB9a8DVfO6r027q1qi8xtUo6KWUufpUCRfLsFG8yUnpxJcMEzO07EwYx4Ln4cGiogIaP32ig7zP03pA6BI34Bzp12XxO/C0ufhpAf3N7ead+uljcXagvh5L+3/Gw6nDD2FFj1uhnp0/SzrvPXwINHQ8VG83djWnh8Ogw73IyQjjq2+9uNRsHxLSv7F43A7FvM5zBQC4Ea6DfWZIboMyk7K1wKmz6GY28x+/BG4880gaL1s81Azb5m08fw1NkmKzRrnMlcdieaQY5wAJa/CJ//Ey56vvMM5sbC1Y3FrOPTzfcuEupaoOnboLoAHjnJDAbQrJZf5Rb47oO75jmiUbCjrfsh+5r178HyF8zn7fCfw5gTYdBBpg8Sje4I8m74oGfHzX1ZTaG5TRloApShBvXXpM/Zx/dwIp1Y8pTJRjn/6ZYn4gDTvgfzH4Cv7oeZN/ds+9X5JhiVNeabt/XbbutXsO1LOOnvbXfOxpwICx6CLZ/B6OP3fPt2NduGD/4IcSltd8DGnw5LnoTNn8Lo4/Z8+/oi24Y3f2KCRGNOgqyx5sQrWG9G+uf9FxY9Bj9e2r1U+qXPwKxfmI7g4EMgZ4KpcWY5TTZYv1EmGPVNsm22LzP7q9RBkJgFgTrT4Rx6GPQb3fPt9lQ4CM+ca06Chx1h9p/lm2DrF7DmTZh09p5vk+zdXrsO4jPgwCtbLu83GtKGwtq3971AUV0pvHa9yZy6+AXImdh6nTVvw8tXwZxb4dJXO95e7XZzm9zf3Manm1t/NST223Xt7oDHV0Jy1SrqUsdhRUP4E3dRbSl/jcla8aaAJwnqS81JdnfYtskGr94K0681GaNJWfDRX0wgsicB/UjIZM5UbYPVb5hMkYYyyJ4Al7+572akhgPw+vWQPBB+vLh1zU6HA2b8CJY9B2/9DK6bB57Erm27cov5TlRtNe952VrTF/dXm1qM9WVwxM9h8PRd/rL2mMZAUfIAc/wHk1WUlN1bLRLpNgWK5Ntt7SzInghDZ7S+L3scjDvNBIpm3GA6L91RmQf/O9Z0dg7/uTlxqs43J1Gla83y/S+Co3+1a17LrhBsAJd378yMWPSYyf6Ycknb9w87wnSa5/7bFLbu61NgagpNVttxf2i78zX8KPAkw8pXOg8U1ZWYYEjG8N3T1r4i7wvz/zryl3DM71rfX7Qc7j8c1rxlpoJ0xcYPYyfAaSYdvyoPir6GhY+0XM8ZB6f/Cw64qPvt9teYjIT60tb3pQ6G6+fvqFmyK9k2rJllAmCjj99xUgomSLnpYzj1H3DQ1WZZNAr/GGseo0CRNFdXAiUr4bjbWmfoWhbsfyF88jcoWAy5U1s/Phw0+0O3FwYc0Hf27ytfhZp8uPiltoNEAONOgYN/YI5dvsqW37OdNQaKUmIXcWgMGFXn75FAUUr5Mvafex1x/jb2RQDvDTKDGCf+pev9iPoyeOcmWPuuqb/XnMtrLlKRPAAmnAlH3tjxtjZ9ZPp1x/8RDvvJjuUTzoJ175rPYP/JXWtXozm3mUEEgMRs019c/abJ+N38iclC3Rdt/MgEby58vv0Lu7i9cPq/4bFTTTDuxNs73+7mT+GJs8wFSXZmOUymFkD+AhN86quBldpCM6jj8uz4Tvsq++7rkW+lPR4osizrJODfgBP4n23bf9vTbRABzElNwWKYfE776xzxC3PSuOjRlp2Oztg2vPoDc3KeNR4+v8v8gBlRzRxl5i1//BfAhuFHmkLFbXV+Q3547BRzha+ssebx/ipz8uhJMB2XY37bfie0Kxoq4J1fmSkkkaBpS9pgcxKaOdJMJ0nMNDWBekv+fBMMiktq+363F2b+Ft6+0bxn40/fs+3b1RqLvQ47vO373V7z2V36DBx7KyTntF4n5If3bjZTKKNhSB8OA6eY6Q9J2SbwljXOjOh/G6YtLHkK4lJbTntpLmeSqZGy7t2uB4oWPGz+lz9ZtqMzHfKbE7doGLbOMydCi5+AOX+Ayed2/3+95CkTJLr6QxPs81ebEfc1b5nCwGtmwX7ndm+bXfHOTTC/caqGBQP2N/sZyzJtypkM05plgDgcJqC0+i2TqbWvXoVQui9/obkdfEjb98+43mSEfvAHuOz1lvdFI/D02eYEE8wxL3OkyTZxuE2WXUKG+X3qZXvX1OPNn5hsqc6yXMeebPoI6+d0/F2uKQCnBxIyzd/9YtnK5Rtg4AG7pMntsSJBJs/7KQCrpt2OIxrEGfbhDNdj2RE8/nJyK76Cr+4zGZVd3Se9+xtY8TLsdz4MPdS8lqqtJmsyKducXJeuhQ//BOPP6DhDe/nLJnvj4B+0XD78SHO76ZPuBYrKN5pBqtxpJvg1cIo58Q/Uwd+HwubP9uFA0Qfm6nqdvb5hh8OBV8CX98Kk75r3viMLHzFBovFnmAHYwQebPnHaUPOdrik00wYfPwM+ut0Eor6JT++Emu2QPd5kfzlcULLGfCbGntT17firzRQ8O2K+g9BxwLqmcEdGXONt9TbTjxfpI/ZooMiyLCdwD3A8kA8ssCzrDdu2V+3JdogAZtQ/UGMKSbYnd6oJTnz1IBxyfdfno29fZqZgnHwnHHyN6fSsn206s+NOMyeKIR88fjp8/Ffzc/jPzGjrzla8bIIGOZPMyVfxKjOKmDnSjPasnQV1RXD1Bz0bZQ3WwwuXmStajD3ZjNwWrzDtx6LFHP8jfmHqS+xpvirTedz/wo7XO/BK0wl577cw6vi964ShuwoXmxOfnEntr3Poj0wn9qv74bhbW9//1k9h2bNw0PdNVlLJKvM+r3yl9boHXtG1DlnlFjPNastcU4wVzOfZ6TGdsCvfhdTczrezp4UDJqAy/rT2R0ctC8acbAJrwfrO0+hDfjMlYeplLbfp9prpZmAyE8F0Dl+41EyN7O6JxYqXzAnKoFgHvDEjY+rlJgvhk7+ZrISupv13ReFSEySadpWph7XmTbPvWfEKhGMFdWfe3HqfM+17plbY4ifMyb/sPaJRMyUn2GCOIXuy9l7BQnOCNmD/tu/3psARN8J7vzGZDCNn7rhv/oMmSHTsrabNmz8zmXuFS6C2OHYlsNhxqibfZJPsLQqXmOmhnck9EBL6meN5RwGW6gLz3jVm62SMMFkYZet2TXs7auLmF4lvKGDxkQ9T0f+IttcZnw13je/8dTRqqDBZVwf/wNTia09dqdnuwoc7Xm/rPBNsajw2NUrNNQNea9+GQ2/ovF2N5v7bBCrPfsj8rxvFJZkAx5pZpk/UVt+rfKMZSEgfajJJ+1rgfMvnZupXV2rqHPcHWPeeufjGNR+3/5ia7bDufXPsOuPuttdJzTU/E79jPhsn39H6/eyqvHmmhlJbvroffrK0awX018+G5y4yA6lgppWPnGkyBdvrd9cU7th25khzW7G57XVF9lJ7OqNoOrDBtu1NAJZlPQecCShQ9G1i22Zn29mOv7bYTOtoKDOdCcthOkh21JzE5R7Y+RWu6krNqLu/yhzsvakm6BCXbLZtOTof6TvkOnN58uUvwgGdBCoabfnM3DZmtaQNaV17wR0P33vPBJE+/T9TzHLsKa3nZM9/0GR9/ODztg9ICx8x88M3fwIjju5a+5p762emvd99CPY7b8dy2zY/JStNh2fZs6bTdMh1e6wWQpPStea2s5FApwtO+is8caZJFe8sTX1vULXNdCicLpN95qsw0wo2fAD9J3Uc7MocaT5jCx42gcbm0yOjUZMZs/9FcOr/tXxcQ4XJUMlfaG43fmgCTv3GwJRL259mGQ7A0+eZGg37nWemBYR9ULLafLe2fmk6Uxe/tPsvlxsOdL4PKdtgpgck5ZhRwEC1KXrekYnfMbXJljxtgrwd2TrPFKQd1YWaWKOPN6OzX7/YvUBRfbkJFLc1Vc7hgDP+YwLO7/7a/L6rrHzFBCqPu9W8t43TG6MRsw9uKN8x7aW5QdPM1SM/u8sExXeu/QZmf+KrNJ/D2u0miBaXbLZZtc1kTYw8xmzr26Rsgwks9BttAq+1hSYLsPEkoz0Vm8y0j35jzUnwzoHQSBiWPQMf/838bxvFp5ssUXciRAJmf5/c3wR0KreYfct+55vs0o5EI2YqTsFCE+xIyDD1R9xecMWb9m/62AS9O5oiOe17Jithzm1maq3DYdr01QMm2HL4z8wx8MArWj7OV2nWe/0GWPykySzt6YllT23+1AThJ3xnR5C4ocL8v/t3EOxv5HCabIyFj5pp6219bwCKV5r+QCNXnJnyWrT8m7+Gjtg2g9c/SXXG/lTktJPlCub9GXms+TwEGzqfEpv3BURDZmpYR5KyYOJZsQzaW9oOijdUmPpzUy9texv7n2/q/pVv7Pw7BeYztf59GHNCyyBR0/YugDd+BKtea331UX8NPHoy1BWbv9+5yQQXUnPNNGS3F468CSac0Xk7ekPxSjOwNKWd/+XO4tPg1LtMX3nOrSb7qq3+6tKnzfTCrmTo73cufP2ceQ96kiHuq4KXrzaZ8VfNNv39aNicPwDcNwO+vB9O+kvH2wkH4c2fmizeA68wn+l175lBok0ftX88rymAIbEMyqQcc/xXoEj6mD0dKMoFtjX7Ox84eA+3Yc/z15gTqZqCWNX7gOkUNFSYkXiH2xw0arabA2Y4YNZLzDYZL/5qk35butaM8g460HQinR4zbztYZ54jUGMyTvzVJhDjcO34cXrMCEjIt+OqGWmDTQexrtic7DhcJgAQ8pvnD/nMj2XteD6n2zy+vsx0ZLypJtDhjjcHbl+VKfwH5nGWo9lP7O/a7eYxk842I3+pzQoh2ra574u7TYcvEjDLHa5Y4GKnOc3jTjMF75qnukajZnTtoz+bkYvGbbTliBs7D3qMOclsf9YvzCjJpLPNqPoXd5s2TTjTnNg7XeZgkNDPBJUyR0PKgI637XCaqSQn/80ccN76mRmNaZyaUlMI25fCCX9uf9Ri/4tMoOmFy0yGyWE/63rmU8hnpolMubRlkAhi75dlgjP9J5uTuXXvwtfP9zxTIFBnppBFQqZIc/owc5JjR0zmVnuvsXy9uc0c1flzjDjadCo+/qtp95gTe9bWnoqEzcle1tj2Ay62bdKhv3rABEJ3ltDPLD/0x50/3+E/NQU2F8aCRY3KN5gTqKGHtrH9DPPTmAJ98LXw5HfMNLV595jstLY+u1s+N0Unz33cdNp3tu498zl86Bi46LlvNh2y+XN+/s/Y/jFs/i+BWrOPO/RH5rvRli/+ay7F3VjvAMz3s7Pg8pBDzEjx3H93Po1l4wdm/z2sCxkD7nhTX2vBw+ak48gbu5YBWLTM3A46qO37hx9h3vfP7zK1uSacaZZ/9aD5DmSNMyn340832RzV+SYbo//kjqeSbplr9nve1JbLHU7A2XaQqNFpd8HDx8PT58JV77e8JHVdKdx3qDnmdOTzf5lLLg+c0vF63VFXakaoAzWAHTuGDjQnLskDzffVjpr3v6MCtTXbzdWA1s82n8OQzwRNvSnmvQ3UmuNY+QZzzDvz3h3ZYDuLhE1wZNGjZl+4M2ccXPuJeQ/bYtvwzAXmewnw2f+ZdV3xJputsRBv7Xbzfh51k9n31hTumOIT8pmTIDB9FWzzvB/+yYzGjzrW1AXypprjtcNlvouBGtMv2fgRlK4234VoqP3/20mdVBpwe01A9NVr4a2fwKn/NMfyys07gkRtaaz/Me17JpNlzSwTdOmJyi0m6JKYbaZydSXgtOEDU0MMGz6503zXsseZk21o/7u7s0NjhYEfPgGufLt1MCNQC6VrWgclBh1kTqZte7fVboqv20pi7SbWTL218+c44EJY+pQJTjbWL2tP3hfmu9NWXaqdHfR907f64E9t10DavtTctrfP2P9C83me/2DHWUmNqvPN92ZY29lT7H+hCey9+VPzHjTvy277yvStT/qb6es3lJnvWO12851c/YaZJj9y5u7LNIpGzb7NnWC+r06P6RNEw53Xydn4obntqDTDzsadYt6jL+817+uUS8zxNHvijvcqf4EJaHclUDf8aHPMXvC/ngWKNn8aqw/2ctv9mUlnmwGyw37c8fFs7SyznYteNEFDMEW8/zHGHM/bChSFfOZ/3TjlzLJMf6twcfdfx94mGjWDGJ5EM82z8Zy16byxwaxnOcw5YU2BKZmRNdb0O0M+8xl0uFSvqQ/Y04Gito4udquVLOsa4BqAIUO6kBK4t9swB17qSr2LWCClcRpHoMYUq41LMiP46UPNCGvhErOOv9p8Cb0p5kATl2puUwaax0cj5ssYDZmIeF2J+WInZZvOcOla8/iUAeZAHfLB9q9NtNydaNZN7LcjAygSNDsEb6rZyVdugdIic7IRCZj2xKeZDiqxbBQ7uuOH2N/994PRJ5qpCSteNgcCh9sEvAI1Zh2Hy6TqTr/GZOPEpZjn91XFgl8OM2K95CmTMZQ+zIxeNZTvCCZ5U83I0kFXm7nPlhVrY7oJWFhW11LvHQ5zVbQXL4eXvmeCRGvfNgc7T4KpqdCW09tJq21LXLLpuDx/icmEaTzhL1xqbjuaHuf2mitvvPdb0wnaMhcufK5r064Kl5qOxLhTO183e7yZp//l/TD5vPYzRtq6qkg0CnP/ZU6+/VVtP655Udydla03n5G0dkZZd3bmPfDYafDsBabzfdDVZhQpdXD7NY7AfC7mPwCLHjedudRB5vvR9Fm2TSHLQ3/U/jZe+4HpzDpc5oRz5ExzMG0MoJatM/PUN8wxJ/ajjjcBMH8VbJtvOizb5pv58125AlDugebKLp/+nzm5G3Oi+X5u+9LcP7gLsXh3PFzxNmz51Jzcz7kNvvtA6/W2fmlGRdu7DO6YE+HKd0xW0cMnmGDIIde3nYYebDDf9/Y6aCG/+b6tnWWyEwYeAFgm8OX0mJOCeffAlMta16zwVZraBiNmwil3ms/ekqfNVKnO6gNZllnviTPNiXJHxTk3fmQ6wl2d8nXM780+6qM/m9uT/tr5SVfjPqB/B5fNnnmzydh47Xrz/gw7zLyHCZlmVHjrFyaQ2FxcKnzvnbaDeYFac5w5/Kdde107yxoL5z8FT34Xnj7H/N74Pi9/0QSJpl9jPveDp5sTqUCNOaFJyDT/kxcuh8dON+979gTTGR95TM8vLbzhAxOAaKsg+M68qWYfPPk8czz1VZpjcO12k931+T9NZzhtiOkAuxPMiWDpWnNMi0sx+5qMkeZz+vDxpubVkBlmG9UFUF9iPuMFC80J5bAjTLbm4OkmgGPHAllv/sS0+7I3WgbcGuUvNEGiM+8xz7n2HbOPCflM9pplmeD5fueb/XxXAwm2bdrx9QtmVH/jR20Xn3UnmPf7nEdMNk2gxvQ1/FU7TiDyF5hj9AEXd/68+51vnvfTO81+v/Gkv/lUtPaMnGn+BwsfMcGU7gZNlr9kags2BrviUsxA1ME/7Ph4uvRp05e4arbJWFnx0o77jvp128H6tqQNMfWZnjobnrsYLnnJDBo0PnfhUsBuXQNm6KEmKFOwuP2A5DeUWGuCmLVpEzpfeehh5rP+8d/N+9lRICRvrgmydCUgN+RgEwz86j6TyXrav1q+x437yvamN6YMNMH/r+4335Hp15jPS12x2e8M2L/l9hoDTwMOaHt7Tjec/T+4/wjTd7v8rR39i8IlgGWCJW29/vyF5mIn9x5qsjWPvaXjIubdUbHJZA+umWX61WDa4vTsGDg96e9wyA/a3QSla0ywtLsn8qfcaa76Of9/JhAGpt827lSzD1j3bvsXJNmZ02UGy97/rQno7JxJ2JnCxaYf1l6dx6N+ZfrzH/wRzrq3/e2sfdd8D5v3e9xes7/++K8mUHjcbS33z5V55rax6DyY49fn/zJZwomZ3Xst3RWNZf36KmPHr+1mcMCOmmOPHTV9am+KOa9qHOi3Y+eNgTrzHXG4zHYays12Ha7YQF3sc+T07JiO1xPeNPjVlr5zcYJvIcu2W8Vpdt+TWdYM4Dbbtk+M/f0bANu2/9reY6ZNm2YvXLhwD7VwN6ktNjVrUgeZwILDZU6SUgbsOHkM1scCJi7zhbFtCNbuGM2NhFqf4DS+d331C1ax2aQnl6wCrFh0OtVcJWDsSV0rnByoNaMNRSsA2xyQXHGm87rf+W0X+O2pSMikGS971gSJrp5jdrK1xaaj4fSY27oSSEg36dfdeW9s29QwWTPLdPonn2tOdufeDb/J79pVjRY9Zk4sMkebzImGCnMwbKyTsrMv74d3fwW/WNvxiEqjbQvg8dNMp+r8p1qPAs6+Fb68zywfcog5UajYZAKQtYUmO2v698GbDv5K8xnwJJmaMNu/hu9/2HZbnzjTHKh+8HnnbWwUqDUFupc+vWNZUg6c9k8TWGn+fYpGYiN8vzQnkiNmmk5l2XoTXGzMigv7TWr7cbfBoT/ZERCzbXNiVrHRXDVrzMkmsLZhjqmF1Zw7tg+YcAac/p9dc4W5qm3mhLx0DWCZjK/8Bab9N23q3udwzm3mRLitrKHHTjP/12s/6XgbNYXwxo9hw2yTYTH0MBPodsWb70nFRlj6rJkKNuCAHcW1y9abz2Ggxozql60zwZUZ17eeTlNfBv/aDwYfZEYMm2fRff0CvPJ9kxnVOH0p5O9ezapZN5riuuc82nZ2Qm2RucLXcbe1zOTqjG2b4q1f3WdODtorrN3omfPN/+XHnYxEVuebk5XCJSawUrIKfjDX/B4JmqlkNQVm3xUOwKyfmw7hpa+ZE7DmNswxJ6uXvvrNCrWuesMEOeKS4dzHzMnjC5eZ78RPlnXyegrM/rauxHwOIgETlJl0ttk3ehJMFpBlmdc6/0HzmTjqV2bf5682U0wapxm/91szpes795vPm+Uwn+W6YrMPqikw+5iw30xv2TCn/baNPcVcOW/glNbfrUi45WexvtxctGDhozsCLe5Ec2xyuEygbvJ5pj5cW9/TNbNM0GzA/nDZa61POt/5tQkC/nJD6+yvaGyAZldcvjscNP+v2kKzv3R6zHcybejuuUrm1y+aGmvBOhPsvur9rj3uy/vMNMxDrjMZy231m975lTkuTbnEZPSG/Cb74OO/wJBDzeNqC81A1Lp3TUDzynfbHhyJhOCOkTDhdHPcBvP9qi+NBT57UAdq40cm2N44Mj/hLDjrPvMZn3Mr3LS55Xb91fCPcSZL8JKXd2Spg+kbLX4iliXVj42O4SRXrcQZ9tOQNAR3sBJnJEh83Raq+k1jzbQ/tdmkIWsfZsyyv/PxmfMJx6W12/TjJsT6XPmLTCBk3Klw3hNtfwb9NaYg9JG/NMHurrBtc2L/+V0m0HP4z3Zkbbxwmelrd7RvCQfMoMrSZ0yWSHODDjLHn9oi01coWGT65jeua7+uHZjg7HMXm4DESX8z+5dHTzbHsevmtf+4la+a4+DGD0z/98ibTK2mrmaE76xqa2wA9UnzGdj/fBOsDtaZz2kkaAIXq143dSh/vKT9QND/jjd96Sve6llbbNv0RwqXmCz0rV/tqG132etdL5MQjZjBq82f7hhYqSk0++3xZ5r9YkKGCXw0nwkRCZnM1dyppq/entm3mAHMqz9sP8j67wPMfvqCp1suj4Thg9tM9rLTbY6VM643Qf+Fj5hj7I8W78ieKlkN984wweee1Pr0VcUGGvPNay1eaT7P5RvMsc+TYPY7/thMlLYC+2D23ZbTBMSj4R1XmvMkmeUOh0keaLzgSUI/0+ePhs3/35Nk9pv1ZeZ5EjLNvq5xZokrtu+xo+bxyf1NsKp4pWm35TCfrcbBwram1cseZ1nWItu2W83339OBIhewDjgWKAAWABfZtr2yvcfsE4Ei2XfYtjn5SBm4ey5HHaiDJ88yJ/kpuebEZfB0kzHUVetnm1GO8g1mJ95/Mlz7WdsnIS9dZeoT3diNQpiFS+H5S82BeuplZjR5/BnmoPDPiWZUJX24GY2znObkLH2YWWe/89puR3U+PDjTHECumLWjxkM4aDIlnj3fFKo+7a6ut7NRyWrTMYpLNoG0snWmPRkjTT2gaMRk+PgqTYr06f82wYe2RCMms2z1m+aEov9kUxuqMm9HJygu1RRIbOzI15WaA7I7wYyyx2e0PyXtm7BtM6Xokzt2BMdm3NC1y9U2F/KZwFzBYjN6O+HMWFaSDX8dbEb1Tu5kCkmjFa+YIGDxKjOK1cjhNtvtN9qMKJdvNCNeGSNNZkZ8uplWe/C1O6ZStWXR4/Dmj82If2ObwgHTad++FH6xrucnsSE/PHGGGfntP9l8F90JppOVmGk+s+Ub4IdfdH+KnW2bLNOVr8IBl5iMgPGnm9f+6g9MsGL0iSZo/t7NZipHV+oPhQPmJGrDB+b/NvM37a9btdW8zzXbTeZazkTz/08fZoKFK1+FmzZ+8wLZxSvN+1G5eceyyeeakfiuCgfM1YqWPWuyOduatuZONKP5dcVmlHLnzMURM02wqq2snLaUrDYn7I2XK0/ub35SctuvH9OR6gLTppRc03nuTvB2zSyzz8090GQmlaw2gY6qrSboNu601icx+4LyjeaEfvI57U+921ljIGj+AyZb5MDLTXA0Z6I5LhV9DQ+2M/10zEkmMNz82L5+Djx/sTkhvfzNlpkvwQazr337Rrjgma5l5nZVxWbz2v3VJkA0YH/z2Y5LhhsWtF5/5avw4hXmd5fXHG/TBpvAgTve7MMqt0BdMb6EgUTcSXjr8wnE5xB1ePD6inAHq1k482mqslof/ybM/xWZRZ/x2RlfdNjspkAR7BiIOuj7JtNk58/8+jnmanbdCRxAy2A7lpk6NPN38N9pJnh73uOdbyPYYI7jLo/Zz5ashvkPmZPh1FwToLZtOPpXJjjdmaXPwhs3mMd7ks1A7/F/7FotnsKlJht8w2yTVTZouhloG3WcGWAO+Ux2TOk6k32U1N8E/0pj+wF/jTkeNZSZY+u0K80ARHuDf2Ub4N6Dzf7kgmfN8SxYb15vfYkJbj98XM/6D+0JB0wR+lCDOdZ1Z//nqzQDF41XggWzvw/Vd/7Y0/5p+jHt8dfAPdNNsOP7H7XOWK3Mg3/vByf+FWZc1/Y2tn9tgmHLXzTf0dTBJojSeDXU5q/1xSvMFP2T/mpqQiblmPWq803fsHqbeU9DDSbYVbrWBNzK1u2od9XI4Tb7qoyRZvaHv9oE7uOSzTErKcf0QxuDNckDTX/Ik2yCkdGIOZa6vOb92R3nNNJn7BWBolhDTgH+BTiBR2zb7nAvpECRfOs0zl+f9Quz8z73sZ7X2Zn/kOnEXjV7R5HsaMR0GLcvMyelk8+Fs+7p3nbry+H168xIfSRopjxljDAdlxsWmUBPsAGwu36iWbIaHjvVjFqnDzMHvYYKE2RxuOHSV3Zc4ranAnWmc7jkSdP5arykckKmmXs+5uTOp7ZEo6b+wuxbzDaGHRGbe51pDrrjz+ha8dLdqTLPnKCPOq5nU3V8leZka+VrJpOj3xiTmbLqNTOtcezJ3d9myB+bwhoybdo5MyIa6Vnmw7u/MTURDvuJ+cwte8500o/5/TcvZu6rhA9vN0EOh9t0riIhk33icJmsxUN+2LNthwMw5w8maykSNAHGYK0JRKUN2XEVo/Rh5n/e1RPl7qgtMvuZtW+3rOUE3Q/mdMRXad6X2iIzGnzUr3YEg7vLX72jNpA/VmsobYj5Hjo95rtZtMKcYKUNMe9X4xS3vpp9CybY/dr1sc9InBnRTRti9j2H/li1HpprLEL8yR1mal+jxCzzvYuG4dpPY0X9S0wgpaOi4SteMYHdcaeZ7ML8hWYabtHXZltZ40xtwY6yTr6Jla+Z47i/2mTyttcfWPa8CRglZZt9tb/aBL/Ous8c66JRPlm2jpAnrdV3wRH2ceg7x+NPGMjCY55vdf+Md06kIXkEyw6/r8OmtggUAbz/O/jiP+Y76Ekyg0HDDjNZCuveNYNiv97a/YC0bZsp2kufNoMRGSNNpurJd5gBht5QtdUEQzZ/Yr6bR/6y60XVbdvshxc/abK/GrOd3Ammn9FYpcPhMpm5wVrT58gYsSMokD2+/QsI7Gzlq/DKtaZ92RNMTaWdK4E07zf2Nts2gSJ3gtm3u7ym/1mTbwbjXJ4dWS3OOJNFlTHCDBB0Nli05m1ThHvIDPN/DNabbJykHPOe5s1tmRnUHl+VCRiteNkMIn3nwR0XgWhUtQ2evRCKl3ftdcelmP5X1tgdt3EpZrAxfXjHpRREumGvCRR1lwJF8q0V8sfSQb9BlD9QB//e33Qcx51qplOUrNmR/eL0mAyennYGbNuc0M77rxkdnHpZx1kMnanaZurO1G6PpbzG6gYMmbFrpxHuCrvi/dnb+avN6Nfcf5tU9fFnmGkEe9MJdzRiTuJWvW4+zxO/a6b1jTl590yJ2dVCfpOe/2Wsxsy075lMK3+NyXhLHbxrpg51JBzcUXy5aqsJiE06Z/dkvknP1Rab92jw9M5rbYnhrzEXQyhabur31RWZKUvdLY47925TjzAajhVfPtBkWg4+2Axg7O7jQMhvgvY7Ty/saP26oh31GWPmrCpu9yEDN73AhIW/Y+uoS9ky/gfE128jsWYT6SVfMmDrG6zf7ybyxnVcnLpVoCgaNVMjN35kBn3qy1oW9D34B10rLN2RNbPMdLJgPXz/g753Gfqd2bYZ6NnyuRmkiE83U6hTh5isSl+FyXL6pgNnhUtN6YbtS83nOHXwjhqmyf3NQNO3xeInTWA5EjCBGJd3RwbPgZfv2ulRtm2+AxWbzfG2cSoWmIGh9OFm6mjjBYv2pv6W7LMUKBL5tlr3Prx8lZkLPHCKmTKVM8HUMUodZNKsRTrTlcvR95bGgGVSTtenFomIdEdjRlzOpJ4XVe9lHQWKsKOMW3QrgzY932JxyJNKZdZ0Vk6/g4i748yfVoGitkTCZrDKV2X6IDoRFhHpVQoUiXybRUIm86I7xXxFRERkn9FhoCgmsXod/Qo/wp8wkNr08fiShmE7ulZguUuBIhER2au0FyjqYWl9EelTnG5NVRAREZEO1aeOoT51TG83Q0REelkfKOAgIiIiIiIiIiJ7wl6fUbRlyxamTWuVCSV7qRp/aLduP8WrrBgRERERERGRXWBqWwv3+kDRsGHDUI2ivqMr89+/Cc1/FxEREREREfnmLMta3NZyTT0TERERERERERFAgSIREREREREREYlRoEhERERERERERAAFikREREREREREJEaBIpF9yIqyFTSEGnq7GSIiIiIiItJHKVAkso94f8v7XDjrQp5Z80xvN0VERERERET6KAWKRPYRX5d+DUClv7KXWyIiIiIiIiJ9lQJFIvsIX9gHQENYU89ERERERESkZxQoEtlHNAaIaoO1vdwSERERERER6asUKBLZRzRmFNUEanq5JSIiIiIiItJXKVAkso9ovNqZMopERERERESkpzoNFFmW9YhlWSWWZa1otizDsqzZlmWtj92mN7vvN5ZlbbAsa61lWSc2W36gZVnLY/fdbVmWtetfjsi3V1NGUVAZRSIiIiIiItIzXckoegw4aadlvwY+sG17NPBB7G8sy5oAXABMjD3mXsuynLHH3AdcA4yO/ey8TRH5BlSjSERERERERL6pTgNFtm1/ClTstPhM4PHY748DZzVb/pxt2wHbtjcDG4DplmUNAFJs255n27YNPNHsMSKyCzTPKDJfMxEREREREZHu6WmNohzbtrcDxG6zY8tzgW3N1suPLcuN/b7z8jZZlnWNZVkLLctaWFpa2sMminy7NNYoitiRpqCRiIiIiIiISHfs6mLWbdUdsjtY3ibbth+0bXuabdvTsrKydlnjRPZlvrCPJHcSoDpFIiIiIiIi0jM9DRQVx6aTEbstiS3PBwY3W28QUBhbPqiN5SKyC9i2jS/sIychB1CgSERERERERHqmp4GiN4DLY79fDrzebPkFlmXFWZY1HFO0en5selqtZVmHxK52dlmzx4jIN+SP+LGxyUmMBYoCChSJiIiIiIhI97k6W8GyrGeBo4F+lmXlA7cCfwNesCzrKmArcC6AbdsrLct6AVgFhIHrbduOxDb1Q8wV1OKBd2I/IrILNNYnaswo0pXPREREREREpCc6DRTZtn1hO3cd2876twO3t7F8ITCpW60TkS5pLF7dlFGkqWciIiIiIiLSA7u6mLWI9IKGsDKKRERERERE5JtToEhkH9CYUZQVb64SWBtSoEhERERERES6T4EikX1AY42iJE8S8a546oJ1vdwiERERERER6YsUKBLZBzRmFCW4Ekh2J1MXUqBIREREREREuk+BIpF9QGONonhXPEmeJNUoEhERERERkR5RoEhkH9CYUaRAkYiIiIiIiHwTChSJ7AMaaxQluGNTz1SjSERERERERHpAgSKRfcDOGUWqUSQiIiIiIiI9oUCRyD6gIdyAx+HB5XCR5NbUMxEREREREekZBYpE9gG+kI94dzwAyR5d9UxERERERER6RoEikX1AQ7iBBFcCYAJFgUiAUCTUy60SERERERGRvkaBIpF9gC/sI95lMoqS3EkA1IY0/UxERERERES6R4EikX3AzhlFgK58JiIiIiIiIt2mQJHIPqB5jSJlFImIiIiIiEhPKVAke61gNEBloIT8+vWEo6q30xFf2NeUUZTkiQWKdOUzERERERER6SZXbzdAZGd1oSpm5T/MovIPCNnBpuWDE8bg917JqcNPxbKsXmzh7lHhr+DPX/4Zf9jPjIEzmJI9hf6J/ekX36/TxzavUaSpZyIiIiIiItJTChTJXqWgYSP3r/0VvkgdY1KmMiRxLL5IPR5HHAvL5/Cbz36D2+HmxGEn9nZTd7m7Ft7F7LzZDE0ZymcLPmtanp2QzR1H3sGBOQe2+9iGUAMJbpNRlBaXBpjAk4iIiIiIiEh3KFAke40S3zYeWnczluXgFxPuY0DC8Bb3n5x7BX9afj4f5H3Q5UDRmxvf5P2893E73EzJnsKI1BH0T+xPWlwaGd6MvSYzaX3lel7f+DpXTrqSnx/4c7ZUb2F1xWq+Lv2ap1Y/xSMrHukwUNQ8oyg7IZs4Zxxba7buqeaLiIiIiIjIPkKBItlrvLz1P4TtENeM+WurIBGAw3Jy9OCj+WDrB4SjYVyOjj++Dyx7gP8u/S85CTnUBGuYnTe7xf0pnhSunHQlV0++epe+jp54Zf0ruBwuvjfxewAMSx3GsNRhnDz8ZByWg2fWPENNsIYUT0qrx/rCPmpDtWR6MwFwWA6GpAwhryZvj76G3hKMBFlcsphRaaNIj0vH6XD2dpNERERERET6LAWKZK8QjPjZWLucI3POYkji2HbXO2rQUby24TXmF83n0IGHtrteua+cB79+kOOHHs+dR96JZVnk1+azpmINDeEGagI1vJ/3Pv9Z8h/OGHkG2QnZu+NldUkoGuLtzW9z9KCjSfOmtbr/hGEn8MSqJ/h428ecMfKMVvdvr9sOwMCkgU3LhqUMY1X5qqa/C+sKqQpUMT5j/G7NorJte49maX1d+jU/+vBHTdPs4l3xjM8Yz/DU4eQk5mBh4XK4uGT8JXhd3j3WLhERERERkb5qjweKLMs6Cfg34AT+Z9v23/Z0G2T3296wmYpgMRmeHLK8g6gNVZLsTsPl8LS5/tb6tUTsECOT9+9wu4fnHk6mN5MHlj3AIQMOwWG1feG+edvnEYwGuXry1U0ZJkNShjAkZUjTOkcNPorTXj2Ntze9zRWTrujZC90FVpStoMJfwSkjTmnz/v367Uf/xP68t+W9NgNFBXUFAOQm5TYt2z9rf2bnzaa4vpiM+Awue+cyihuKcTlcTO8/nWEpw8hKyCLeFc9pI04jNS6103bm1eTx4toXWV2xGn/Ej23buB1u/BE/4WiYSn8lHqeHJ09+kqyErB7+N7rn3mX3UuGv4KpJV+EL+wBYVb6Kj7Z91KJGk8fh4bKJl+2RNomIiIiIiPRlezRQZFmWE7gHOB7IBxZYlvWGbdurOn6k9BXBiJ8X8v7FovI5re7bL/1wrhx1W5uPK2jYCMDgxDEdbt/r8vKTqT/hli9u4Y2Nb3DWqLPaXG9h0UKSPcmMTW8/O2loylD2y9qP59Y+x+kjTyczPrPD595dVpevBkxAqC2WZXH6iNN5aPlDfLLtE44afFSL+7fVbgNgQOKApmUHDzgYgPfz3icrIYvihmIOzz2cSDTChqoNzN8+n7AdBuC+ZfdxwwE3cN7Y89oNvM3Om81vP/9tUzBmZOpIbGwyvBmke9OxsHBaTlZXrObhFQ/z6+m/7vA1f7LtEz4r+IwMbwYjUkeQGZ9JVaCKBFcCQ1KGMDh5cGf/NkoaSvii4Auu3e9abphyQ6v7Q5EQlmVx5btX8uqGVxUoEhERERER6YI9nVE0Hdhg2/YmAMuyngPOBPbpQFGZr4w1FWtwOVz4Qj68Li9RO0pdqI7aYC0jUkfgcXrIr80HwOVw4bScRO0oITtEWUMZKXEpNIQaqAnWkBWfhY1NdaCammAN/rCfqB3F4/SQFpdGXchcFj3RnUiiO5HShlLqQ/WkxaXhcrgoqCsgvy4fl8NFqieVDG8GGd4MbGxqg7WU+cqoDlTjcrioCdZQHahm5uCZTMmewqR+k0j3prf5OtdWrOVfq39JkW8Lxw+4mAlpB1MRKGK7bwsrq+bxdeXnFPvyyIkf2uqxhb6NJLnSSHFndPr/PGvUWTy75lkeWfEIZ448s82pTguLF3Jg9oGd1qv5+YE/5wezf8ANH9zAU6c81aP6NlE7ytyCuZT5ynA6nDgsBy7LhdPhpCZQw6DkQU2Bm7asqVhDhjejw+lv1+5/LZ8VfMbNn9/Mi6e/2GKa2aLiReQk5LR4/Nj0sUzLmcY/Fv4Dy7IYlDSI/x7z36bXZ9s2/oifvJo87lhwB7d/dTsbqzby20N+2+q5G0IN/Gnen0iLS+N/J/yPIclD2pwiB3DjJzfyxsY3uHLileQk5rS5zlub3uI3n/2GRHciDaEGbOxW6/zz6H9y3NDj2v1/ALy7+V1sbE4dcWqb97udbsBM3btjwR1sqd7CsNRhHW5TRERERETk225PB4pygW3N/s4HWp1BW5Z1DXANwJAhQ3a+u89ZUrKEn3/8892ybZflwuM007kidoRAJIDTcmJhNWWMuCwX8a54akO1AGR4MxiUNIioHSWvOo9yf3lTpojH4SErIYvUuFTC0TBxzjgyvZk8suIRInYEgNS4VIamDMVpOUn2JLOpahO1oVqqA9WkuDP5/ujbGZ82HYBhSRMAOCrnu/zx64v5qOhFLhh+Y6vXsa1+HYMSRnXpNVuWxUXjL+L3c3/PJ/mfcPTgo1vcX1xfTF5NHueOObfTbR2YcyB/OPQP/OqzX/Hahtc4e8zZXWpDo5XlK7l17q2srVzb7jouh4sPz/2w3QDbmoo1jE0f22FtnzhnHP846h+c99Z5/OjDH3HTQTcxvf90bGy+KvqKowcd3eLxlmVx19F38ciKR8ivzefKSVe2CIJZlkW8K55xGeN4+ISHuWPBHTy1+imOHXoshww4pMVzv7juRSoDlTx97NPsl9V21lOj6/a/jk/zP+Ws18/izqPu5PDcw1vcX+Gv4I/z/siBOQfy0PEPEYqGKKgroKCuoOmqbbd9cRv/W/6/TgNFs/NmN9Uj6shJw07irkV38fiqx7l1xq0drrun2LZNMBqk0l9JpjeTKFGq/FXEOeOoC9VRHaimOlBNub+ccl85NcEaApEAHqeHqkAV9aF60uPSqQxUkuROwuP08OMpPybBndDbL01ERERERPq4PR0oautMuFU6gW3bDwIPAkybNq11ukEfM73/dJ465SlCkRBelxdf2IfL4SLOGUdqXCobqzYSioQYkjIEh+UgHA0TsSM4LAdOy0m6N526YB2WZdEvvh9VgSosLFLjUklwJbQIENSH6nE73LgdbgKRAHWhOhLdicS74glHw4SioaYT8kaNyy0s4pxxbQYsyn3lrK1Yy/qq9Wyt2crmms1YWBTWFTI6fTTp3nSyE7Lpz9Gkevq1enySO42D+53EvNJZnJx7RYt1fOE6inxb2D/9yC7/T08dcSqPrniUv8//O5P6TaJf/I7tLSxeCMC0/tO6tK2Th5/M82uf5+4ld3Pc0OOa6vXUh+r59We/pn9Cfw4ecDCT+k1ia81WHJaDhnADL617iY+3fUxWQhZ/OfwvHJhzIBE7QiQaMbd2hE1Vm/jlp7/kzY1vtjn1KRQNsaFqA5dMuKTTdg5JGcJdR93FjZ/cyNXvX83xQ4/nlOGnUB2o5pCBh7RaP92bzi+m/aLT7VqWxU+m/oRP8z/lj/P+yCtnvNKi8PPH2z5mfMb4ToNEACPSRvDUKU9x0yc3cdOnN/H8ac+3mEb2xoY38IV93HLILbidbtxON6PTRzM6fXTTOueMOYd/Lf4XRfVF9E/s3+bzhKIhVpWv4sJxF3bapqyELM4fez5Pr36aU4ef2uXPRVeFIiFTtynsJ2JHmoJflf5KApEAwUgQX9hHhb+Ccl95U/DHH/F3+Tkav5vhaJiUuBQSXAmU+8tJ9iQTiASI2lGu2e8aBYpEREREROQbs2x7z8VhLMuaAdxm2/aJsb9/A2Db9l/be8y0adPshQsX7qEWyjc1Z1Vxu/eV+Qv5y/IrGJE8iclph1HQsJGqYCnbfZupC1fx0/H/YWjS+A63f9yEHdOZFhQt4NrZ1xKOhnFaTtxON/GueGqCNcQ74/nsgs+6PJVsdflqLnr7InKTcjl79NlcOO5C/r343zy1+ql2H5Mel845Y87h4vEXd1jf6OJZF1PiK+H1M19vOpHPr81nftF85hfNZ9amWV2aatWoNljLc2ue456l9xCxIyS4Enj7u29/4xpLX23/iqvfv5pThp/CzQffTGpcKg2hBg577jAuHX8pP5/W9ay4bbXbuOCtCxiQOIB7j7u3aVrctbOvpbi+mNfOeq3dx26u3swZr53Br6f/movHX9zmOusq13H2G2fz1yP+ymkjTuu0PQ2hBs5+w2SLvXzGy60CKoFIgFAkRJInqcXycDTM8rLlVPorCUaC5Nfls6V6C0X1ReTV5hGMBKkOVDdl2+3M7XAT54wjzhlHujedfvH9yIzPJNObSVpcGvGueOpCdYSiIXIScghGgiR5kkiLSyM1LpX0uHQy4jNIdidjWdYev6qciIiIiIjsuyzLWmTbdquR9D0dKHIB64BjgQJgAXCRbdsr23uMAkV9S0eBIoBPi1/lnYLH8EfqSXSlkOUdTKo7k4lph3BQvxM63X7zQBHApqpNvLXpLcJ2mEg0Qn2onoK6Ai4YewHHDj22W23/ZNsn3LfsPlaW7/g4njHSBCzWVa5jZdlKRqSNwOVwEYlGODDnwC5dcn1JyRIue+cypmRPYUDiAJaVLmu6Upnb4eakYSfx58P/3G4h6fZsqt7EJ9s+4ZghxzA0pXXdp57475L/8tDyh0hyJ3HtftcyOHkwP/7ox9x/3P0clntYt7b1Wf5n/PjDHxO2w4xJH8O1+13LzZ/fzDljzum02PVFsy5iS80WnjrlKUakjmh1/4vrXuSP8/7IG2e90enUs0YLixZy5XtXcvSgo7llxi30i++HZVnk1+Zz8dsXUx2oZmLmRJI9yTgdZvrmstJlVAWqWmwnKz6LgUkDSfYkk+ROIishi/2y9iPTm4mFhcvhIjcpl8z4zG6/pyIiIiIiInvKXhEoijXkFOBfgBN4xLbt2ztaX4GivqWzQBGY+iw1oXKS3Ok4re4Vj945ULQ7fLn9SxYXL8ayLC6bcBmJ7sRvvM3/Lf8fz65+Fo/Tw/DU4RyWexgzBs5gWMqwvS6YsK5yHXctvIu5hXMBiHfF8/F5H/doWtO2mm28vfltZm2exebqzQA8euKjnU7/agzeuCwX/zvxfwxPHU6lv5LqQDXZCdn86rNfsap8FXPOmdOtDJunVz/N/y34P8K2qb81InUEDeEGCusKOW/seaytWEsgEmia/jkqbRTHDjmWQcmDcDvcDEgc0CrrSEREREREpC/aawJF3aVAUd/SlUDRN7EnAkVifF7wOR9u/ZDTRpzG1Jyp32hbgUiAh75+iDhnHFdPvrpLwZ31leu5+v2r8YV99E/s3xRoavT9yd/nx1N/3O22bKraxKf5n1LqK2VV+SryavL40ZQf8Z3R3+n2tkRERERERPoqBYpkj1CgSHalvJo8Hl3xKGW+Mg7IPoDshGwK6wpJcidx/rjzcTvcvd1EERERERGRPqm9QNGevuqZiEiXDU0Zym2H3tbbzRAREREREfnW2LuKo4iIiIiIiIiISK9RoEhERERERERERIA+MPVsy5YtTJvW8RWSRHqixh/ardtP8ap+joiIiIiIiOy12rxq0V4fKBo2bBgqZi27gwpvi4iIiIiIyLeVZVmL21quqWciIiIiIiIiIgIoUCQiIiIiIiIiIjEKFImIiIiIiIiICKBAkYiIiIiIiIiIxChQJCIiIiIiIiIigAJFIiIiIiIiIiISo0CRiIiIiIiIiIgAChSJiIiIiIiIiEiMAkUiIiIiIiIiIgIoUCQiIiIiIiIiIjGdBoosy3rEsqwSy7JWNFuWYVnWbMuy1sdu05vd9xvLsjZYlrXWsqwTmy0/0LKs5bH77rYsy9r1L0dERERERERERHqqKxlFjwEn7bTs18AHtm2PBj6I/Y1lWROAC4CJscfca1mWM/aY+4BrgNGxn523KSKy17Jtm5p338O3dGlvN0VERERERGS36TRQZNv2p0DFTovPBB6P/f44cFaz5c/Zth2wbXszsAGYblnWACDFtu15tm3bwBPNHiMistcL5eVR8NOfsuXSy3q7KSIiIiIiIrtNT2sU5di2vR0gdpsdW54LbGu2Xn5sWW7s952Xi4j0CeHKSvNLKISJd4uIiIiIiOx7dnUx67bqDtkdLG97I5Z1jWVZCy3LWlhaWrrLGici0lPR2todv9fV9WJLREREREREdp+eBoqKY9PJiN2WxJbnA4ObrTcIKIwtH9TG8jbZtv2gbdvTbNuelpWV1cMmiojsOpGaHYGicHFxL7ZERERERERk9+lpoOgN4PLY75cDrzdbfoFlWXGWZQ3HFK2eH5ueVmtZ1iGxq51d1uwxIiJ7vWjdjkBRSIEiERERERHZR7k6W8GyrGeBo4F+lmXlA7cCfwNesCzrKmArcC6AbdsrLct6AVgFhIHrbduOxDb1Q8wV1OKBd2I/IiJ9QvOMokhVVe81REREREREZDfqNFBk2/aF7dx1bDvr3w7c3sbyhcCkbrVORGQvEa2tafZ7bQdrioiIiIiI9F27upi1iMg+KVJbiyMx0fxeo0CRiIiIiIjsmzrNKBIREYjW1ePMyMAOhVpkF4mIiIiIiOxLlFEkItIFdsCPw+vFkZJCpFqBIhERERER2TcpUCQi0gVRfwDL68WZnExEGUUiIiIiIrKP0tQzEZEusP1+HHFx4LCIqkaRiIiIiIjso5RRJCLSBVG/P5ZRlEJEVz0TEREREZF9lAJFIiJdYPv9WN44nCnJRGs09UxERERERPZNmnomItIF0UAAR5wXR3KSMopERERERGSfpYwiEZEusP1+rPjY1LOaGmzb7u0miYiIiIiI7HIKFImIdEFTRlFKMoRC2H5/bzdJ9qBQQQEFv7iR4JYtvd0UEREREZHdSoEiEZEuaKpRlJwCQERXPvtWKb37bmpmzaLimWd6uykiIiIiIruVAkUiIp2wo1HsWEaRMyUZgGitClp/mwTztgLQ8OVXvdwSEREREZHdS4EiEZFO2IEAAJbXi6Mpo0iBom+TYH6+ud28GTsS6eXWiIiIiIjsPgoUiYh0IhqrR+TwxuHKzAAgXFrWm02SPShaX0+krAz3kCHYoRCh7dt7u0kiIiIiIruNAkUiIp1oLFxteb24c3MBU9xYvh0C69cDkHzMMQAEN2/pxdaIiIiIiOxert5ugIjInhLcsoXSu+/GcnsIbNyIHTABoIyrriLtrLPafVzjNDNnSiqOlBQciYmECgv3RJNlL+BbuRKAlFNPpeKxx8yVz444vHcbJSIiIiKymyhQJPINWLU1xH/5KVY4RGjIcKKp6UQy+mEnJPZ202Qn0WCQ7b/7PQ0LF4LLRfzEiTgHDiRcXELRLbeSfPTRONPS2nxspLIKAGdaGpZl4c7NJbht655rvPQq/6pVONPT8U6aiCMpyQSKRERERET2UQoUSZ8Qrqyk4uGH8QwbRsqpp+KIj+/tJuEsKaLfrT/HVdw6sySalEz9f/9D4iEHd7od27apeestat6ahX/9OuInTcYzdCie4cOJGzsGy+nEM2wYDq93d7yMXuf7+mt8S5cSP2Uq7tyBRKqrcSQk4kxJ3qXvc/Ff/0rDwoX0v+020s45G8tldn++lSvZcvY51MyeTfq557b52Eh1NQDO9DQA4qdOoeq552lYsICEgw5qWs8OBvGvWkWkvp640aNxZ2fvsvb3VDQQINrQgDMlBcvp7O3m9Jq6zz7Hv3IFnpEjcWdlYUdtvOPG4khI6PSx/lWr8U6ciGVZeIYNU6BIRERERPZpChRJj9ihEJbbvUeeK5iXx9bvX0Noq8ng2H7bH0icfhDeSZOxPB5cWVkkHjoDz+DBe6Q9jdIeuAtHbTU1511OYP8DcZaXQtTGVVxIyrOPUP3qK10KFBX+6lfUvPEmzowMnKmpNCxaRO3777dcyeHAkZRE0hFHMOBPf+zSyW1fECoqIv+GHxEuKWl1nxUXR/KJJzDwL39pCur0lB0KUf3qa6SeczbpF5zf4j7vhAm4Bgyg7qOP2w8UVVUB4ExNBSD9oouoefsdtn7vKgY//D8Sp0/HDoXY9sPrqJ87t+lxg+69p6muzZ4W2LCBwpt+hX/VKsD8P4e98DzesWN7pT29qWHxErZdcw3Ydss7XC5y/3kXKccf3+5j7WCQwPr1JB1uppp5hg3Dt2TJ7myuiIiIiEivUqBIuq3qtdco+v0tOLP6kXTEkWT9+EcEN2/GkZSEZ8iQXRrEsG2bwl//hmh1NUOffQbCYWpmz6bqpZepX7AQwmFz8mdZ5Pz+d6Sfcw6Wx7PLnr89jqoK4pYuoPacS6m94MpW97sK83F++hm2bWNZVrvb8a9dR80bb5J65pn0/9MfccTaHqmrI1xSgn/VarAgsG494eJiql97De+E8WRedVWnbbSjUSLl5eByNU2Z2pvYwSDbvv99InV1DLrnv9jBIKHCQiyvl2hDA8HNW6h+5RWSjzmGlJNO+kbP5V+9GtvvbzrZb86yLFJOOZmKRx8jmJeHZ+jQVus0ZRTFpqZ5x4xh5HvvknfxJWy7+vs4+2USKSvHDgZJPfu7JB1+OAU/+zk1b83qlUBRqKCAzeeeh8PjIe3cc3Fl9aPs3vsof+ABcu+6a4+3p7dVPP44zpQURrw9i1BBAeGKCohGKf3nPyn95786DBSFioshHMYzbBhgAkU1s2YRDQRwxMXtoVcgIiIiIrLn7PFAkWVZJwH/BpzA/2zb/tueboN8M+X33Y8jJYX4SZOpeuUVql54ocVIfcK0abiHDiHrhhtwDxjwjZ6rds4cfEuW0P9PfyRhyhSz/YMOov/NNwPmJK72vfcoufP/KP7jnwisXs2AP/3pGz1nV3gXfIFl2/gOObLN+wOTppDwyfsEN2wgbvTodrdTO3s2WBbZv7yxKUgE4ExKwpmURNyIEWbBqeYmuHkz1a+9Rsb3vtdh4CeYX0Dhr3+Fb+EiAFwDB5B02GHEjR6DIzkZy+XEnZtLwtSp3Xzlu07Va68RWL+BQffeS/IxM1vdb0ciNCxYQMWjj5F84onfKNDVsHgxAPFT2n69GZdfTuWTT1H2wIMM/Mvtre6PVFVheb0tpv+50tMZ8tCDlD/6GOHiIlw5/Uk85GCSjzsOgPov5n3jgEJg40b8K1dihyN4hg4hbuxYnElJnT6u+o03sH0+hr32alPgK1RcTO3sOdjh8DfO0OpL7FCIus8+I/WM03FlZuLKzGy6L7R9O8V/+jPBrVvxDBnS5uPDRUUAuPrnACZQhG0T2rq1w++2iIiIiEhftUfPFizLcgL3AMcD+cACy7LesG171Z5sh/RcML+AYF4eOTf/hozLLiOwYQNVL71MpLoa7/hx1H38CZG6OmremkUobyuD7vlv03Sdnqh58y1cOTmkffe7bd7vzskh47LLSDrmGMr+ew9VL71M2vkXED9pYo+fsyvi539OOGcg4WEj27w/sJ8JSNS89z5ZHQWK5swhfupUXP36del5U79zFkW3/QHfkqUkTJ3S5jrR+nryLr6YcEUFGVdcgTMtDf/KFdS8+x7RF19qse7AO/5O6hlndOm5d7Xa92fjGT6cpJlHt3m/5XSSedX3KLrtD5TefTf9rr22x3WafIsW4x40CHdO2zWD3NnZpF90ERWPPUbaOWe3CqAF1q7FM3hQ68fl5tL/d79tc5vJJxxP1YsvUv/FFyTPbB0I60i0oYGCX95E3QcftFjuGTmSEa+/1mmgp+b92cRPndoiOyrpiCOofvkVfF9/3eMAoX/tWkruuotwYSHO9AwTCHa7yPrhD3Hn5vZom7ubb/kK7IYGEg+Z0eq+pCOOoBgTsG0vSy9UVAyAu39/AOJGDAcgsH69AkUiIiIisk/a08PK04ENtm1vArAs6zngTECBIsxUHMvjwY5l57SXQbHz/dH6ekLFJUR9DRCN4khIMDWEnE4itXW4Bw4gUl2DMyUZZ2oqdjhMuKSESGUlUZ8Pd24udjiC5XQQra8n6vNhOZ2EKyuJVFQQrqjA4fHgGjCA2vfeB8siKXbiGzdqFDm//lVT2zIuuwyAqpdfYftvf8u6gw/BO3Ei/W+7lfjJk7v3/wiHqZ83j+QTT+i0CK9n0CByfnszdZ99RvHttzP0mafb/f9FamoIbNhI3Op8Ihn9iPTLwk5Igm5krLg3rcd/wLR2HxPJyiHxqCOpfPJJ0i++CFd6eqt1QsUlBNasIfuXN3b5eVNOO43Se+6h6M9/YvgLL7QZMGhYvIRwcXGr+jiN77sdCmFHIhT85CeUP/Q/Uk4/fZdMS7NtGzsY7FL2jB0O41u8mNSzzuzwudPOPZf6uV9Qft/9+FesZPB99/YoG8a/ciXxBxzQ4TpZP7qBmvffo+jWWxn28stNGV7RQICGBQtIv/DCbj1n4sEH40hOpvb92d0OFJXe/R/qPvyQrJ/8mOQTTsAOBKh+8y0qHn2Uuo8/bspaakto+3YCq1eTfeMvWrZnxgxwOKh5990eB4qKb/8LDQsWkHjooUTr66mbO5dIWRmRqioG//e/Pdrm7tYw/ysAEg6e3uo+z5AhxE87kIonnyLt/PPbzNYKF8cyinJigaJRo7DcbvyrVpFyyim7seV7DzsaNbc+H5bbvUem94qIiIhI79nTgaJcYFuzv/OBzqv99nENixdT9t97iPp8TfV07EgEOxzCshxEfT6itbWES0tNDRTbJlJTgyM+HishAcvtxg4GIRIBzFSKaH09VlwclstFtL5+z70Yp5OMyy7ttHB06ne/gzt3IL7ly6l8+hnyLrmUgXfeQcoJJ3T5qXxfLydaW9tmXZk2m5acTPbPf8b23/6OqudfaFW0GMC3fDlbv3cV0dpaOsrh8R18BBW/uBXaCEpY9XU4K8sJ57auZdNc9i9+webvnk3JP/7BwD//udX9/pUrgPanQ7XFmZRE/9/+joKf/pTyRx+l3/e/37rtXy8DyyJhessTY8vlwj1wYNPfGVdcyfbf/tYUeT79tB4XJ/evW0f5gw/RsHgR4eISvOPG4UxNxZmRQf/f/67NjLLg1m1EGxrwTuo4eGg5neTe/W8qn3qa4ttvp+iPf6L/H27rVmAr2tBAqLCQtHPP6XA9R2Ii/X/3e/Kvu46Cn/yUQXf/G8vtJrhpE3YwSPyUA7r8nACWx0PyiSdQM+ttsm/6ZZvBwrbY4TBVL71Eyqmn0u+HP2xaHjdmDNVvvUnVK692GCiq+/hjgKZgbiNnaiqpZ55J5ZNP4R0/gbTvnNWt1xOpq6dhyRIyr/oe2TfuCG4W3f4Xqp5/nkh1dbeyB+1IBN/XXxNYvx47EDT7vdoaQoWF2P4Arn6ZZHzvqnazwHYWzM+n+pVXqJ/7BcHCAhzxCTgSEwnl5xM3dmy7//+cG29ky0UXU/zXvzLw9tbTDgNbtuBMT8eZlAiY9zVu7Fjq533ZaQ2yXc22bWyfzxwzfH5sXwNRvx/L5SKwaRPR2jocCfFEamshHMYOhcDhJFJdTbioCGdGBtg24ZJiIjW1OGP/k3BREY7ERBxJSYTLy4hUVWP7/XgnTiS4eTP+tWtNPbjY6x94552knNj1fbmIiIiI9C17OlDUVo/abrWSZV0DXAMwpJ26EX2JHQwSqasz02acDoiYrB/L7ca2o7gTEkxNmoxMIhUV2OEwrpxsbJ+fqM9nsoM8HiynA7DA4cCZkkw0EMAOhnBlZeHun4MjMREcDqL1DdjhEEQiONMzCJcU40hIIOrzE6mpxnK5cWVl4cpIx/J6CW3bZkaIbRtHYiKWNx4iYXNylJGJKyOdaH094bIyXNnZOFNSOn3NlmWReMghJB5yCGnnnEP+D35IwY9/Qt3Z3yXx0EOJlJWR+t3v4kxObncbtR/MAafTZEJ0Uep3vkPNrFkU3XYbvuVfkzxzpjl5dToJbt5M8R134kxNZeAdf2dJRRhneRnOshIsX0NTdpCzvJTED94m6fXnqTv74lbP4c7PAyA8qONAkXfMGDIuu4yKRx4hftLkVoEr/4qVYFl4x3XvKlTJJ55A8gknUHb3f/AMHdoq+OZbtoy4USM7rWWTcuopVDz2GNtvvpmKRx9l6FNPdnuaYM2771F4001YHg8J06fjOelkAmvWENq+nfovvsCZkkL/W37f6nHBzZsAiBs5otPnsCyLjEsvIVxaSvmDD+JISCDzqu8RDQRxpqUSqajAcrtx9e/f5kl7YPNmADwj2p4m2FzyMTPpf+stFP3hj+RdeSWD/vUvAhs2xNra+eN3lnn55VS/9DJVzz9Pvx/8oEuP8a9cSbSujuRjWxbBtlwuUk8/g4onniBcXt6i1k5zDQsW4BowAM+I1v/b/rfdSqhoO0W33opnUC4JBx1ExeOPU/nMsyTMOISMSy7BnZtLpKKCwKbNRP0+s/8qL6fu888hFCLpmGNbbDPtnLOpfPJJtl13PYMfuL9LNZTqv/iC7X/4A6G8ra3uc2VlYcXHEyospO7zuQx55GHcOTltbicaCFA7Zw5VL71Ew7wvwbKInzqVpMMOJ+r3E9q6laSZR5N5ZeuC843iDziAzO9/n/IHHiD5mGNIPrbl6/OvWIl30qSWr/m8cym65VZq332XlJNP7vC1RhsaiNTWEW2oJ1xUhBUXB5aF5fHgW7aMaG0d4dJSog0NOJOTsENhEwjy+4jW1WO53YS2bSNYUIDd0NDhc7XL6cSVlWWu3mfbTfvx4JYt2NEI7v4DCG3fTvj/2bvr8Diu6+Hj31leacWMtmzLzBTH4TjMjA2U0jZleAspQ9L2V6YkTdNQw0yOE8cQO2ZmW7YssJhpGea+f+xqI1loR7YM5/M8fizN7s7eXc3Ozj333HObmzBnZWNKSUEzGnFv3IhlxAhSPnsvmsWKwW4j2NiEbdzYo2uHEEIIIYQ4KWjq8OWCj+WTadqZwC+UUpdGfv8RgFLqt309Zvbs2WrTpk3HqYXiWNE9Hhr+8U+an3kmOjIdd/FF5P7jHwAEW1pwLl1KsKkZvaOdUFsbbe8uJHb+fPL+dWRTWnSPh/o//JHW119Heb3dbrOMGEHefx/HkpvLkj11fe4j+f9+hm3zWur+8iSh7O61aWLfeYXEJ/9FzeOvoif3nZd00cQMdLebym99C9fKj0m46UbiL74YQ2ws5rw8Kr/2dQiFKHj9tSN6fQDB5mYqvvwVvHv2kP7tb5P0mTsxWK0opTgw70wcF1/UaxbT4XS3m/b33qPmF78k9qz5ZP3sZ91qzQSbmsKZBjYbSil0lxtNA9eGDbS9+RYdH3yAbdpU8h55BFNycrd91/7q17Q8/zw5f/9bj2BW478fo+Evf2Hsxg39Bgu7UrpOzU9+Stvrr/d6e/JnP0vGD77fY3vLK69Q+9OfMWrRe1gLCgb1XC0vvkTdQw+Fg7KJiQSbmhi/edNRTbk5dN99ePfsZczSJdFpea2vv0Hjww+j+7zEXbiA+EsvQfd4CNbX0/Hhh7g3bmLMyhU9smB8xcWUXH0NSbff3msADuDgVVdhycsn75GHe7092NJC2c23EKisxJiaSqixEXNeHoHKyp7Lxx/Gcf755D7ycI+AXPP/nqXu97/HPm0a+f95rN+VDzuWL6fyG9/EkpdH6pe/RMzs2Wh2O5qmodnt0ffItX4DlV/5CprZjG3a1HBwI9aBZ8eO8NRZpzM8jdLtxpydTcKNN5B4/fXdsuYGS/n9lN56G77iYpI/8xnsUyZjTEzElJFByTXXkvqlL5H2ja9/cv9gkNIbb8JXVIR92jQsBQUovx+l6+EBAaUItjQTqK7GX3xwwOfXYmIwxMaEA0NGIwaHA4PNhsHhQPl8mLKzsI4swBAbE36P7DEY7HYMMXY0a3iVQOuY0WgWK2jh7ErNYkEzmcJtslhkupgQQgghhOhB07TNSqnZPbYf50CRCdgPLACqgI3AHUqp3X09RgJFp5ZATQ3BhgacH62g8eGHSfv2tzGlJNPwt78TbGgAQLNaMcTFYcnLI/t3v+11ufLB0H0+fHv3EnK6QA9hzs7GMnJktMZNf4EiQ3MTGd+8h1BqOg2/+RvKZseybzcxKz/EtnENymql7pEX+n3+iyaGsyBUKET9n/9M83+f6HGftG99i9Qvf+moXl/I6aTii/fh2boVc3Y2ibfdhiEmhrrf/IasBx8k8cbeC4D3pvm556h78CHQdWLmzcM6ejS+4mLc69djiIvDnJNDoKKi2zRHQ0ICSbffRur993dbsa2T7vNRfvfd+Ir2M+KpJ7FPn44KhfAdPEjVt7+DZjQy6u23jvh1e4uKcH60As1sRne7MaUk0/bOu3i2b2fU229hysik48MP8ZeWEmprw7trF4G6Ogo/XnlE04S8RUXU/PRn6C4XKV/4whFP1erkWr+BQ/fcE/1bB1taKD73PMx5eVgLC+n44IPuD9A0Uu+/n7Svf63X/dU++BAtzz7LiGeeJmbOnG636X4/RTNmkvKFL5D+7W/12aZQWxttb75Jy4svodltjHz2WULt7XQs/pBQezum9DQs+SMwJsSjmc3hqYQJCf0GG9oXLaLqu98j5oy55P7jH+FaaR4Putsd/efZtYu63zyIdexY8v/7+IDZid79+2l85BEChyoI1NcRamnFPnky5vw8jI44QOFYsIDYM89EMxj63ddAgi0t1D34EO2LFkWn+UJ4SuKo997rMQUu2NhI87PP4lz+UXiqsMUCRiO61wOAKTkFU1oatsmTMKWkYoiNwRDrAD0UzjC1x2AbNxZTdjaayYRmMAxYn04IIYQQQoihdEIEiiINuQL4K2AEnlBK9SwK0YUEik5Nut9Pxec+jzvyt7WOG0fWL3+BdcKEo15K/Ej1FygCsG7bRMqDP0CZzaAZMHjcKIMBPT6Btru/guf8/mt0dAaKOgWbm/GXl6O73PgPhaevJd1006ca6VdK4V63jvq//BXvjh1AuGM7ZsVHg5oC1FWgqoq2t9+m7c23CLa0YEpNJe6ii/BXHELvcGLOycGSn0eoowP79Ok45s8fsO3BpibKbr+DYH09tokT8e3bhx6ZPpP561+RdPPNR/fCD3+e5mYOXnpZePqgUugdHd1uT73/K6R94xtD8lxHo/Ib36Rj8WLir7gcy8iRND78CAVvvYVt3Nhw8emSEozx8ZjSMzClJPdbsFt3uSi5/gZCLS1k//YhHAsWRAMLzlWrqfjCF8h95OEjLqA9FNreeovqB34MBgMEAr3exzp+PPlPPjHomk1dHY+aQMGWFkJNTfgOHMBXUkLcggXYxo8/ps8phBBCCCHEcDhhAkVHSgJFpy6l6/hLStA9HmwTJw64stlQGyhQBGDZtwv7yiWgFL6pM/FNnYWKHVwA5vBA0bEWbG4mUFWFMS4Oy8iRx/W5+xOoq6fhL3/Bf+gQtvHjsU+binXCBGxjh7bOiWf3bpqffArNbCbh+uuImT0b5fOhe71HFZQYSrrLReOjj9L0n8cBcFx4IXkP/+uo9+evrKLya1/Dt28f1rFjMWVmoNwe/BUV6B0dFK5ZHZ4CNQzcmzbRsXRZeGpUbGw4k8ZuR7PbMWdmYhs/XqZBCSGEEEIIcQKQQJEQhxlMoOjTON6BInHia3//AwI1NSTdeku/dXwGQwUCtL76Ku0fLEZ3OtFsVjQ0Ur50H45zzhmiFgshhBBCCCFOVX0Fio73qmdCCHHair/s0iHbl2Y2k3T77STdfvuQ7VMIIYQQQgghPl31TyGEEEIIIYQQQghxypBAkRBCCCGEEEIIIYQAToKpZ2VlZcye3WPKnBBCCCGEEP1q9/a+AuNQiLeZj9m+hRBCiONkZm8bT/hA0ciRI5Fi1kIIIYQ4kbjafMQmWIe7GWIAx3LhClm0QgghxMlO07QtvW2XqWdCCCGEEEfg45f389QPVtNa5x7upgghhBBCDDkJFAkhhBBCHIEdyyoB6Gj2DnNLhBBCCCGGngSKhBBCCCGOgs8dHO4mCCGEEEIMOQkUCSGEEEIcBZ/72BVKFkIIIYQYLhIoEkIIEeV1BdjyQTlKV8PdFCFOeF6XBIrE4Lz2f5tY/eqB4W6GEEIIMSgSKBJCCBG1/Nl9rH3jILWl7cPdFCFOSKGgHv1Zpp6JwVC6oraknW1LKoa7KUIIIcSgSKBICCFEVHO1C+jeGRZCfCLgDUV/lkCRGAx3hz/6sx6Sc6sQQogTnwSKhBBCRLnbfAB4nTKlRoje+L2fBIekRpEYjI6mT1bHc7b6hrElQgghxOBIoEgIIUSUHgrXJpLaK0L0zt8loyjol+wQMbCO5k8CRV0z0oQQQogTlQSKhBBCRBlM4a8Fr9M/wD2FOD0FumQUBQMSKBIDC/g+CQ75PTJdUQghxIlPAkVCCCGiQpGOr0emngnRq85Ov8lqJBSQ7BAxsKC/S6BIMoqEEEKcBAYMFGma9oSmafWapu3qsi1Z07QPNU07EPk/qcttP9I0rVjTtCJN0y7tsn2Wpmk7I7f9XdM0behfjhBCiKMVCunRItY+l4x6C9GbziwiW4xJMorEoHSdoigZRUIIIU4Gg8koegq47LBtPwSWKqUKgaWR39E0bSJwGzAp8piHNU0zRh7zCHAfUBj5d/g+hRBCDKOutTO6TpUQQnwiGMkissaYoxl4QvSne0aRBIqEEEKc+AYMFCmlVgLNh22+Fng68vPTwHVdtr+olPIppUqBYmCupmlZQLxSaq1SSgHPdHmMEEKIE0DXDkzAJ50ZIXrTmR1iizVJMWsxKN0ziiQIL4QQ4sR3tDWKMpRSNQCR/9Mj23OAii73q4xsy4n8fPj2Xmmadp+maZs0TdvU0NBwlE0UQghxJLpmFEkdDSF615lFZI01R7OLhOhPMKBjjTGBJhlFQgghTg5DXcy6t7pDqp/tvVJKPaaUmq2Ump2WljZkjRNCCNG3aJFes0GmngnRh87sEGuMSaaeiUEJ+kOYrUYsVqPUKBJCCHFSONpAUV1kOhmR/+sj2yuBvC73ywWqI9tze9kuhBDiBNE50h2TaJVAkRB96FqjSIpZi8EI+kOYLEbMVqOcW4UQQpwUjjZQ9DZwT+Tne4C3umy/TdM0q6ZpBYSLVm+ITE/r0DRtXmS1s7u7PEYIIcQJoLMDExNnkc6MEH0IBXQMBg2LzYgeUuh6nwnSQgAQ8OsYzQZMViMBv5xbhRBCnPgGDBRpmvYCsBYYp2lapaZpnwd+B1ysadoB4OLI7yildgMvA3uA94GvKqU6vxG/AjxOuMD1QWDREL8WIYQQn0LnlJqYeEu3ekVCiE8EAzpGiwGjKXwJJdPPxEBCgRBmiwGz1UhQgvBCCCFOAqaB7qCUur2Pmxb0cf8HgQd72b4JmHxErRNCCHHcdC7hbI8zEwrqhEI6RuNQl7IT4uQWDOiYzAZMFkPk93D9GSH6EvTrmCxGNIMmGUVCCCFOCtIDEEIIAXySUWSPs4R/l5FvIXoI+UPhaUTmcHCo69LnQvQm0FmjyGIk4JPjRQghxIlPAkVCCCGAT4r0dgaKpE6RED2FM4qMGM0y9UwMTtAfyUKzGqOZm0IIIcSJbMCpZ0IIIU4PQb8OGtgc4a8Gv9QpEqKHYEDHZDFgtoQzimQqkRhIMBDCZDGgdAnACyGEODlIoEgIIQTwSe0VizX81SAdGiF6CvpDmMyGaF0i+ZyIgXTWKFJKjhchhBAnBwkUCSGEADo7wEbMNukAC9GXUEDHKJ8TcQSCkRpFILXfhBBCnBykRpEQQgigszMjmRJC9Cc69azzcyJTNEU/lFLRGkVmi4FgQEfparibJYQQQvRLAkVCCCGAzg6wsUsHODjMLRLixBP0hzCZDJ9kiEiNItGPUDBc7NxkCRezBqlrJYQQ4sQngSIhhBBAZx0NA2apUSREn4IBHaNk3olBCvo7A0VGrPbIQgEeOWaEEEKc2CRQJIQQAvikRpFFaq8I0adQQJdaXmLQOjPOzBYj1hgzAD53YDibJIQQQgxIAkVCCCGATzKKOqdH+KX2ihA9dK4OaDIbQJNAkehfZ0aR0WzAGhvOKPK6JFAkhBDixCaBIiGEEEC4w2u2GjEYNExmg3SAhehFMBAu+q5pGmaLUT4nol/BwCcZRbZoRpHUfxNCCHFik0CREEIIAPzeIJZIDQ1LjEmmRwhxGF1X6EGF0RzOujNbjVL0XfTrkxpFBqwxklEkhBDi5CCBIiGEEAD4PUEstnBHxpFoxdXqG+YWCXFiCQUinX5z+PIpJsFCR4t8TkTfOlc4M1mMWGMlo0gIIcTJQQJFQgghUErh94aw2MOZErGJVpzSARaim85pRMZIoCgtP46G8g6UUsPZLHEC65pRZLEZ0QyaZBQJIYQ44UmgSAghBEG/jtLVJxlFSTbJKBLiMNFOfyRQlJ4fh9cVkKDqKU4P6njrPPhbfATdQVRIoQf1QT3WH5nCa7Gb0DSNuBQbbfXuY9lcIYQQ4lMzDXcDhOgUCukYjSd+7LJz5FjTtGFuiRBDx+8JT4XorFHkSLbicwdpqnKSkuMYzqaJIeJq87F/fR0J6XYyRyUQE28Z7iaddKJTzyzhzLvU/DgAGso7iEu2oXRFc60Lu8OCPc6MrisMBk2+L05iQU+QyjfK8DX2DAbm3qWYeFZ2v4/3usLnVltk2llKdizN1a6hb+inEArquFp96KHw9U1iRswwt2hotDd6MFmM4UwuTYtmAopTn6vVR9nORgxGLXwtU+nkrJsLo59DIcTAJFAkhl1rnZulT++ltqQNNEjJcZCUEYM11kxCmp3EjBjyJyWfEEGkg1vrWfF8EQajgfgUGwaTRnyKnZRcB/kTk0nKjD2i/Z2IQSdXmw+TxYge0nG3+6k50EowoJM1OpGMgvjhbh4Qnv6xb20tPncAPaTQQ4qpF+Zid0jH92j5IwV5rZFA0fh5WWx5v5zN75dzyecnDWfTxBBZ/uw+ync2AWAwaeHzbIwZs9VIRkE80y7MiwYKB+J1BdizqjqaGZFVmMio6WnRjLRjTekKzaARDIQwGDQMx+n7oXPqWWdGUWokiLro3zt73FczaChdkZQZw7XfmkFsovW4tFEMHaUUtR9W4W/xk3FhFgaTgZAvRKAjQOuOZja8U8r4M7MwGPr+Dve6AqB9cm5NyXFQtrMpXBNukJ+3YyUU0tmxrJIdyytwNn8SCLv5R7NJH3FifN8fjY0LS9m3tob2Rm90m2bQ0ACz3ci8a0cz+dyc4WtgF3pIZ8viQ+xfX4unI0Bcig2DUcMeZ+Hc28YSl2wb7iaedJRSvPuv7TRWOLttN1uNnHv7uGFqlRAnHwkUiWG37H97aapyUjg7HWusmbZ6N/Xl7fg8QXyRkbiJZ2VxwV0ThrWdu1ZWseL5IpIyY0jMiMHT4cfdFqCx0sneNTWYzAbuenD+oEbplVLs31DHhndLcbZ4Sc2Nw5FkJSXHgcVmxGIzEZtkJXd80nENkJXtbOS9h3fQW7kNg0njrl/Px5E0/J2dDe+UsnXxoW7bnC1eFtwzcZhadOII+EPsXF6JPc7MqBnp0c7JQHyRjCKzLZwpERNvYdSMNIo31eNs8Z0Qf/fjKRTSMWgaWj8dwJNJ6Y5Gync2MeeqArJGJ1C6o5G2OjceZ4DGig7KdzWh64ozrh414L7amzy8+aetdDR/0gnbs7qGbTkV3PLjOf12modC2c5GFj26E0dSuI6W2WrEYjcRDOice+tYxsxKP2bP/Um9GWP0/zOvH82mRWUEvCFyxiWRPzGZqqIWEjJiMFsMbFtawerXiiXgehJq29WCq8xJ2jmZJE5O7nabLd1OzfuVVO9vIXd8ch97AJ8rgDXGFD2X5E1IZtN7ZZTvaqJwTsYxbf9Alj+zj6L1taSPDAeKbbFmPnquiKJ1tSdtoGjXyio2vFOKNcZEwbRU0kfE43MHou9/TXErq14+wJhZ6UecXeL3Bulo9mK2GolPsQ9Ze9e/VULO2ESyChNxNnvRQ4pDe5pY81oxl35x8pA8z+mkYk8zjRVOZl0+gtEz07HYTGx4t4R962uZd/3o4zagIcTJTj4pYljVlrRRU9zG2bcUMu3CvB63e10B1r55kL2razjz+jHYHMOTMhoK6WxaWErWmASu/dYMjKZPgjdKKar3t/LmX7ZSvLmOqRf0fB2HK95Uz5In92CNMTF6ehqNlU6qityUbG3odr/pF+dz1o1jhvz19CYU0ln9ajGxiVYmnZNNKKSIT7GROSoBpeClX29gywflnHvb2OPSnv7auWd1NaNnpnPxZyeiGWDp03sp3d6IHtKPW2bBicjvDfLGn7ZER9FWPL8fe7wZk9lIQpqdC++e0Gcgs3M0uWtW1oyL8zmwsY5Fj+5g+sX5xKXYyBgRf8yCJ35vkLKdjWSNTsRsNWK2GY9roLRibzMfPbcPAFebPxxsm54GCqacn3vSTsdQSrH29WKSsmKZdfkIjEYDeROSu93+7j+3s3dVNXOvLBjw77tt8SE6Wrxc/fVp5IxLIuALUbSullWvHKC+rJ3MUQnH7LV4nH6WPbOX+FQ7KTkOCqZHVudTULy5nh3LK45poMjd7gfAHvfJd9HMS0cw5YJcXC2+6DEy89IR0dsNRgOb3itj8nk5ZI9JPGZtE0NL6YrmzY3YMu0kTe8ZCHIUxGG2Gdn5UVW/gSKvO4gt5pPjJXN0Ao4kK7tWVjFmdvqwZRS31LooWl/LzEtHcOb1o6PbD26pp2xnI2ffUnhCZTsPhlKKrYvLySiI5/rvzux2rdaprqydV3+3idLtDUyY3/+0wU66rti8qIytiw8R8IWzCnPGJhKXaic23hINVMfEW7DYjIyckjqobLFQUGfLB4fIGZvItd+e0e39XvF8EfvW1hDwhTBbjYN8BwTAlsXlxCZamXNlQfQYmHp+HvvX17Hl/XLmXTd6gD0IIUACRWKY7V5ZhcVuYsL8rF5vt8WamXR2Nns+rqZsZyPjz+z9fsda2Y5GXG1+zrtjXI8LD03TyBmXRFJmDGU7GgcMFAUDIT5+eT9p+XHc+P9mRefMKxWeQhUM6LTUuFj2v30c3FzP/BtGH5eLtYrdzbTWubn8S1MYNSOtx+0Tzs5m54pKCqamkjex74viY626qBWfK8jYuRnR927UjDT2b6ij+kBrvxfsp7qN75bSWOnkiq9MwWwzsX99LcGATkeTh/JdTax98yAL7u49M69iXzNmm5HU/E/qESVlxnLhXRP48Mk9LH58NwBxKTbGzEpn9Iz0IZ2K6PcGeftv26grbY9uM1mNJKbbMZkNZI9NYt61o47ZZ8HrCvDBf3ZhshhJzoohb2IKFXub2f1xNaGATtWBVm798ZyTruMEUF/eQUutmwvuGt9r4E3TNMbOzWTJ7j3UDRDo8XmC7F1Xy/gzMsmflAKA0WRg3LxM1rxWzIGNdcc0ULRjWSUeZ4BrvjmD1NzutbNScspY/3YJHc3ePqdrdDR72bumhqAvREpOLKl5ccSn2cPT1wwDZ5B1Bopi4rtn2Jktxj4DiTMvG8G+dTV89Ow+bvnxHExm6fSdDFyHnATaA6TOz+j1c28wG5h56QjWv1XCwa31jJ7Re4DS6wpg7ZK5YjBozLgkn49fOsCGd0qZcUn+sGQ4HNwSHpiafF73KVgjJqdQtrMpfC4oOHaf5WOh5mAb7Y1e5l5V0GuQCCB9RBxxKTaKNw8+UFS0rpYN75SSMzaRUTPSaShvp7q4lfpDHdGFILrKHZ/E1d+YPmB25YGNdbhafVx41/gex9iYWensWllF6Y4Gxs7JHFQ7RbguVVVRK2deP7rbMZBREM/YMzLYuuQQUy7IJTbh9MqSFuJoHPdvJk3TLgP+BhiBx5VSvzvebRAnjsr9LeRNSO73IiktPzwtq2Rbw7AFikq2NWCPtzBiSmqf9xk5NZXtSypoa/CQkNZ3SnLlvhY8HQEW3DOxW2FFTdMwmjSMJgOZoxKYdmEuHz1XREuNm+TsI6t9dDTqytvRNPoMAp190xgq9zWz8qX93PbTuX1ehA0FZ4uXoF8nPtXWI0Po4NZ6TFYj+V3amT8xBYvdxLJn9nHV16eRnNXz/VJK0VbvQQ8pbA5zNLPG6wzg9wYxGA3EJloGFQjwe4NsWlhGS52bvAlJ0elde9fWoGnhuiSFczKYdM7xq4EQDITY9XE1Y+dmUDAtHOjLHZcUvX35s/vYv7GOs28agzWmZ2ZeXUk7WaMTewQSCudkkDMuicbKDpwtPoo317N18SG2L6vg9p+eMWRZNjuWVVJX2s7sK0YSm2gl4A3R0eShrdGDzx1ky/vlZI1OYGQ/n8FP4+CWenzuINd8c3p0yoVSCk3T2P1xFR89V0RjhZO0SPHik0lNcStAv+/dyKmpGEwaxZvr+w30lG1vIOgLMemw+h62WDOFczLYs6aGOVcVHLOCoWU7G8kZm9gjSAThY3X92yUc2FjXLaOnU1O1k7f+shWPM4DBqKEHu3fuTFYjF392YjiLrA/uNh9oYI8f/OszW4xc8JnxvPP37ax/u7TPLNH68nZWPF9Eaq6D5GwHNQdbsdpNWGPM2Bxmxs3LlM7NceQ+5EQzacSN7jsgPuOSfA5uCdcuzClM6jXr2dnsJSG9+3ly8nm51Ja0s+m9Mja9V8aY2elMPCubrNEJaAbtmH6/QniK8ralh8ibkNQjqDr2jEw2vFvK2tcPct13ZpxUwfEDG+swWQwU9PMZ1jSNMTPT2b60Aq8rMKhz1a4VlaTkOHpk/XTyugKYzAbc7X7Kdjby8UsH2PbhoV7PQ51CAZ3175SQmufo9borqzCRhDQ7q14pJjkrltTck++7ZzjUl3cA4WDd4eZcUcD+9XXsXV3N7CsKjnfThDjpHNdAkaZpRuBfwMVAJbBR07S3lVJ7jmc7xImhudqFs9nHjIsT+72fpmmMmZXOjmWVHNrTRP7ElOPTwC4aK5ykj4jrd3Ro6gV57FpRxZt/3sLZNxcyembvo4uVRS0YzYZev8S66hytL9lWT3L2sf9CayjvICkrts8UZ5PFyNk3F7LwXzvY+VEl0y/KH/I2KKXY9F4ZG94tBRXOVLDYjdjjLBhNBqwxJir3tTB2bka0RgiECxRe+63pvPOP7Sx7Zi83fn9Wj4u5pU/tpWh9bbfHGIwafk8wWpNp/LxMFtw7cJ2jTQvL2LrkEAaDRtmOxuj2+FQbtlgzzlYfK17YT97E5CGrYzCQhkNOgr5Qn6PaU87PYe+aGj56roiL7u0epNRDOq117m7Bt65i4i3Rz93Es7JprXPz3M/XUby5bsgutvZvqCVnXCJnXNOzRo4e0nny+6vZv6HumAWKynY24Ui2dgsEdR5Do2eks+KF/RRvrh+WQJFSipJtDTQc6sBqN5OUFUPmqASC/hDN1S5Schz9FkpurHASm2Dpt36a1W5ixKQU9m+o7TES21XZziZiEixkjOzZeZ5xST5F68NT0C68a/yQTwMNBkI0V7mYfknv556ENDsZBfHsXVPDlPNze5zL1rxWjK4r7vj5GSSk2Wmpc9N4qANnqw+lw9411ax+rZiCaal9do7d7X7sDvMRT4nMn5jCpHNz2LbkEKNnpPUIxlUfaOWNP20BPunoHK6x0jkkdY6UUmxfWkHtwTZik6zkT0whPtVGMKBjsRkxGA14OvwnbY2aw3lq3TSuqcfX5MWWbsdgMxJyBzHGmMi6JKfPv7W33os11YZm7Pt732g0sOCeCbzy0CaWPLWHK74ypdtx727301LrZty87hkhBoPGxZ+dyMgpKVQXt7F/Qy3Fm+qBcND2yvunDsEr71vp9gZ8riCzLhvZ4zaLzcTcq0ex4vkiSrc39hs4PZEopSjb2Tjg4CPA6FnpbP3wEMWb6wcsat3e6KG+vIP5N4zp81jpDDbFp9qZekEelfta2PhuKWNmpROf2vs1QOX+FpzNPs69dWzvGWsGjSvun8pbf93K4sd3c8sDc7pd94je1Ze1YzBqpGT3HExIzIghd3wSuz+uZuZlI495PT0hTnbHO6NoLlCslCoB0DTtReBa4JQOFDVVOTmwsQ6/N0QoqGNzmLE7zAQDengpUqXwe0PhizSrEaUUBmO4g+z3hAj4Q4T8IfSQIi7Vjt8dxNkSLqYXk2jFaNTweYI4m33YHGaUUvhcQUwWA35vCL8nSGyiFaNJw2wxEgzoNFU5CQUVsYlWlFIoXeFzB/G5A+EVvVJt4cyISA864AuhdIXJYkQzaIQCOgZjeKUZzRBeWrtz6VG/JxgtyKzrCr8niMFkwNnsjXbINS18AWU0GSicPXA9iekX51O8pZ6F/9zBNd+aTs7Y/oMsvekcvakpbqWjyRtdkUbXFfOuG93nErehgE5rrZuCqf13UB1JVq76+jRWvlDE4v/u5tas2F4zWxornKRkxw44YhiXbCN/YjLbllYw5fzcXrNABkMpBSr8v7PVR3ujl5h4C+42HzEJ1ujqPYd2NzHh7P7TsEdOSWXE5BQ2vFvKiMkpJGXG0nCog2X/20soqIiJt5CaG+60WmNMtNW7SUiLYcJZWYMaldz9cTUb3imlcE4GeROSaa5xEfAGaWvwEArotDd6iE209hqkSh8Rz7xrR/HRc0VU7G3uFlBsb/JQtL42ul9Xmw+vM4CuK+wOM7ZYMwe3NrBvXS35k1IYNSOt379P8eZ6Rk5J5bL7JuNu9xP0hwj4QqTmOjAYDXQ0e3nmx2vYt6aGuYMoDtyVUipak6DzPQuFdJqrXcSn2Po8DupK2wD6nA6WmhvHrMtGsOm9MhornUw8K5vssYmk58fR3uglFNRJ6uV47U1iRgwZBfGUbm8ckkBRX52pTgajgYJpqRRvrsfnCQ66QPdgBQMhKvc1M/7M3o9Tm8NM7vgk9m+oZc6VIwd9sR4KhaeRetoDxKfZSEjrnlUwmFUP9ZDOmtcPsn1pRZ/3SR8Rx00/mN3ntKnGyg5S8wYOcE0+N4fS7Y3sWFbJjD6CMfXl7dGsh8Ol5DiYc+VINi4sQw8pLvrsxCG9EK8raUfXVa9Bqk6zLhvBokd3svDhHVz11anRv5XPE6RiTzMzLx0RXZ0yJdvRrTMRm2hh2TP7+p1y09bgOerVy+bfMJrynY0sf3YfN/1gdrdA1o5l4b/vlfdPJX1kPKGgjh7SscdZcDb72PFRJXs+rmL25SM/dYbpmteK2bakgpgECz5XkB3LKnu93/Xfm3lS11RSumLXyioqXivDYDMSm+/A1+RDb/GhmQ24K1w4CuKIH9vzb62UwtfoJX7cwFOvUnPjOOe2sax4voi3/rqNzNEJTDo7m/hUO9UHWgF6vWbRDOEpn2PnZnL2TWM4sKmej57dR9mORlpqXUe8iuqRqCpqxRpjIrswsdfbJ56VxY5lFax5rZjMUQnRIHNztQtPhx+/L0T6iDhsDvNxL/qvlKKutJ2krNhu3wWdg4+zLx854D7SR8SRURDPhnfD1xv9fadU7G0GYMSUwQ9SnnPrWJ77+To2vFvKRX0MPh3a3YTJYuh3Kn9yViwX3TORt/++jfXv9J2NeDwppWg41IG73U9cso1QUMdkNhIK6YQCejTgnJLr6DWgHgyE2PLBIZqqnHja/bjb/fjcQUxWA3aHhVBQJ+gPMW1BPmPnZvTI+PJ0hB/j6fBzaHczfl8Iu8OMOdLvOLCpjuzCxG6DYV1NPi+H9/+9i7IdwxMEVUrhbPFhMhuii/aEgiE6mn2f1L5T4bpYXmeA2CQrFpsJnyt8zYoCIh+3UDD8nscmWvF0BPA6/YSCCoNRY8r5ucf9tYlTz/EOFOUAXa92K4EzDr+Tpmn3AfcB5OcPfdbC8dbW4GHL4kNY7OGROl+kg9qVyWrEZDYQ8IXQNNCD4QCGwahhthoxmg1omoartRaTxUBcsg2fOxjt7BrNBmITLPg8QZQe7tigFBa7CbPFSF1pG3pI4XUHMVsMJGc7MOkKr9OPFqnNYHeYSUy3o4fUJ6vZRKbRAFhjTOG52EphNBkI+nX0UBBdV1hspkiAKoDFbsLvDeFs9aNFloT1OH0kZcZiMGmRoAWk5MK4MzKxxw28SlhsgpXbfnoGrzy0kaVP7+W2n86Njhh1TilyJFl77cD53AGaa9ysfvUAdaXtZBcmkjcpJfy6VCTd/4UiskYn9Hph1lzrQtcVKb1MdThc9phErv7GdF789Qbee3gHN35/VrfXp3RFU6WTUdMHlxVx5g2jeenBjXz0XBGXfH7SoC7GQkGdg1vq2bG8ktZ6N35PCM1Aj2kWvckbRH2fs28p5LX/28yrv9vE1AV57FxeiWbQyCyIx93uZ/fKKoIBvdtjjCaNcfP6nzYYCuhseLeU7MJELv7cxKNKdx9/ZhYbF5axaWEZeeOTo+9X2Y7wkuBzry4gMb33qVJjz8jktd9vYvF/d2Oxm5hz5UimLcjr0Q53u5+OZi9TLsjFaDL0WgslLtlG7rgk9qyqZtpF+YMKbHR2ajYuLMXTEU5jt8aao0FVPaRwJFu5/Wdn9DpaWlfWjiPJ2u/UlLlXF5A+Mp41rxWz5vViAJKzY2mNLHGeOWrwGQQF01JZ92YJrXXuI5p+FgrpuFp90eMx4A9Fl2zvL1tw8nnhjKglT+7h/DvGHVVn3dXmY/fH1fjdQWISLcTGW0DTqC1pI+jX+w0Gz7x0BG/9ZSvvPbKDy+6bMmChUq8rwNt/20bDoU+yQ0wWAzaHGbPVRCgQiq40N2ZWBuPmZpA5OuGT4GBQp6Gig49f3E99eQdTLsjl7JvGEPCFqD7QSkudG6vdREeTl83vl1PVx8pLwUCI5ho3IwcIdEN42mnBtFTWv1NCzrjEHhklfk+Q9kZvv3U95l49CqPZwLo3S2ipdXH2zYXkjE0iFNAp392ENcZE1pjEPgNIwUCIncurqC1tI+gPoWkaBqNG1uhEKvY1YzT1n41ZMC2NBfdMYMnTe3nvkR1c8oXJ2GLNVB9oRSm6FfE+3KgZ6ax4fj9Fa2t7DRT53AGqD7T2uvDCYFhsJs6/czwL/7WdV367kXnXjWbE5BQMRo2q/a2Mn5/V698pOdvE3KsKKN5cx7v/2s4N35uJI+nolsxurnaxbUkFk87J5rw7xqEHFRX7msODPYZwhqXfG2LNa8Vseb+c7K8lHtXzHAmlFOW7mqg52EYooIeDZLoiFNAZd0Zmr38zXVds+aCc1jo3AV8IrzNARkE8RpOBjiYvrjYflUUtoCAmP5bsS3MxdvnMKl1R9vxBGtfV4xjpwHDYtUOgLYDu17GmDe59nnxuDijFlg8OUXOwjR3LKjj75kLqy9oxW42kjeg/UGuyGJkwP4v8Sck8/cPVFK2rPaYFd1tqXCRnx/Z5TWEwGjj39nEs/Od2Xn5oI+ffMY6Gig42vFPavd1mA3pIkZARg9IVwUCIqefn9RloPpzPHWDPqho6mjzUlLRhd5jRNI268nau/85MUnJ6XneVbmtk0b93hgca56STmBFDbIKV8t3h75ERkwcO6Giaxnm3j+Pl325kwzslnHNL34t0VOxpxpFkJSlz8N9zcck2Jp2Tza4VVcy/YUyv2ZxNVU5SchwD1izLm5jMpHOy2bbkEKOmp5E1+ujqRimlqDnYRlu9h5gECwFviPqydvzeIEpXeJwBrHYT8Wl2fO4geROSyR6biMlkQDNouNp81BS3sXVxeZ9Zj4dzJFlJzo4lJsGK2WzAbDNRvKWe9gYPSZkxxCRYSB8Rh8VuIuALRQLxdtobPXz80n5Wv3qAhDQ7iRkxuNv9uFp9OFt80f0bjFo4iOIORAeiTRZDv1P+Rk5NJT7VxooXigj4QoyYlEJDRQel2xpoqXOjh8J9r86B7/YGD2kj4pm2IA+DUSPk1+lo8eLp8GMyG/F0+An6dbzu8JRmk8VI0BeipdaFwRju13k6wtdwekgR9Id6XCMPNWusSQJFYkgc70BRb99IPXqvSqnHgMcAZs+ePXDv9gRXMDWVr/zr/GgHQKlw9o6mgTnS4Tv8ojkUiARkIgGiTsFACKOp+7bOjJHBBBE6a26cjKx2ExfeM4E3/7SF//14LWkj4khMs+Nq81OyrQE0iE+x4XUG0IzhOf5GkyHcKQ2Fg2aXfnFyjxVx3O1+nv/FOlY8X9Tr/POmyvAKUr3VxOhNbIKVK++fypt/2crLD21k9Kx0Rk8PTzVoqOjA6wqQNchR2tTcOM68bjRr3ziIPc7CObcWRjO9vK4A1hgzBoNGMBDC6wxStL6GncsrcbX5ScyIoWBqaiTYEK5/FJtgJTbRis8dJCbegtcVQA+FM8qMJm1QAazE9BhueWAO7/97J5sWlhGXbOO678yIplcrpfB0BPB7gsSl2Hj9D5v56IX9KEW/NaaKNtTiafeHVzI7ymPUaDIw9+oClv9vHx88vpv5N4yOjOq24Eiy9ls7ymo3cfMDc6iMFDBe/Wq4MG/+pBSyxiRgjwtnS3WOLg50sTb36lG88actvPb7TVzzzen9duw6mr0se2YvlftayB2fRO74JDzOAF5ngFAgUqvJZGDTwjI2LyrjzOt7jirWlbaTMUDhUU3TKJiaSsHU1PBKe/tb2PReGXpQ9Rko7cv4eVlseb+c9x7dyVVfmzqoKXat9W7e/uu2bsuqd0rNc5Ca1/dnLH1EPGffXMiaN4p55bcbueH/zeozpf9wekhn29IKNi0sI+APYbYYoyvXdMouTOx3ZDd3XBIX3DWeFc8V8fofN3P1N6b3GZRrrnHx/mO7aGtwc86tY0nOiqGl1h2ut+QMEPCFMFmMmKxGvM4ARWtr2L2yCkdSJBOv0Usw0j5brJlLvjCJwtnhZbStMQYKpqXRmccV9IfY9XEVq14p5vrvzewRlGyudqF0Naj6Fpqmcd4d43jt95t595/bueIrU0nOCmc/Gs0GqiO1jtIH6PTOumwk8al21rxezJt/3orNYUYP6vi94dcUl2yjcG4GFpsRs9UEhDNP2xrCRdc9HQES0u3RgKjfE6R0e3iK59yrCwacVjJuXha6Dsv/t5eXfrOBy788hcp9zRjNhn7rL1ntJsaekcHuj6tQSjFtQV63z0RtSTt6SA2qI9qXEZNTuOpr0/jouSIWPbqT1DwHk87ODn8v9HNOiYm3cM03pvPWX7by1l+3cf13Z/Y7lbAvOz6qxGgycMY1oyJZwFqv0zlDAZ31b5ew7s2DnDFAEfnOTIKmSiftTV4MRo2OJi+t9W68zgDTFuT1mlGj6+HMhI0LSynf2RSuzWM2hDumRg1Pu5/KfS3c+ct5PaYR7ltTw/q3SrDFmjGaDcTEW9i2pAKUwpFkwxprYvK5OWQXJlJm73ndoxk00s/LpPKNcmo+rCbr0hwMXbJIvfUeAGz9fGccbvJ5uUw+L5eOZi/Ln93HR88VAeHaWYOdqhibYCVvYgpF62vDf6NBXtc1VjhpqnJithpxtflxtXqJibcybUHPoKZSiuYaF2Mi55S+5I5L4obvz+KD/+xi4cM7gHDW4IyL84hNslFf1k5Hczg729nsDQfpmr2seb0YV7uPmZeM6PcYrS5u5aNn99FS68ZkNZIxMh5niy+aZbHyxf291kjaHsm+yxqTQOn2RnzuYPS22VeMHHQQNS0/jsnn5LBzeSWFszN6PTeEQjqVRS2Mmp52xNclU87LZddHVax78yAX9rKIRHO1a1ABfID5N47h0O5mFv17J2fdMJoxhx1T0cGkpN6/k2qKW1nxwn6aqpzdthtMGla7Cc2gYY0x42r14fcEMZoMbF9agaaFB3bNNiOByPnbkWTlvNvHkpLjwNnqw2gyEAro4e8JS/jz297kpa3BTXuDh9Z6D83VLgK+ED53kPQRcZxz/9R+X7tSisbK8GyM5hoXrXVuYhKsZI1OwJFsIy0/DlusOfq/UoqgX8fV5sOR2PugcSej0cDlX57Ckqf2suTJTya0mMwGUvMc0eCO1xXAbDGSOSqByqKWbmUGutHC352ORGv0XGgwaiRnxaIU2B1mUrJjw7MwIt+lCan2aL/EHmfGaDJgizUT8IfCHWVNCw+0x5hwtfnxe4LY4yzhvqJGtOdsNBswmjTaGjzYHRbiUmzRIJcQQ0HrTH0/Lk+maWcCv1BKXRr5/UcASqnf9vWY2bNnq02bNh2nFoqTQemORg5srKOt3k1rnRt/pC5LXHJ4meTONNVQMJwCG5NgJWtUAhmj4vvs2O1aWcWK54uYf+MYZlz8yUiYq83HiueLqNjXwhf/cu4RTaOoLGph25JDVOxtRg8q4pJt0Qvoe39/1qAyqSD8hdl1qoAeDAeJIDyaYrYZ8bk+uVDKm5jMtAvzyJ+YfEzTwUMBncr9LaSPiOu2pPrhXK0+Fv93N9UHWpl+UR5zriyIZmMopaKv5/U/bcFsNX7qlaWUUmxeVM6m98rQDOGOWen28Ip5F3xm/OD2oSu2L6vg4JZ66so6oll1MfHhrD27w8zdD84f8P2tKmph4SM7sFiNTD4vB58nhN8dwJFsI+gPX0wEvCH2rq1B6YqzbhrDxLOz+3z9S5/aw751tcy4OJ+51xRE071rDrTy1l+3cc6tY5l6wZGNIrnafLhafaRkO4744qKyqIX3/70Te5yFm34wq9/pkT53gFd/vxmvM8DsK0diizGh6+FsM68rwKjpaYO6wG+s7ODNP2/FaDJwwWfGRy82O6fseZ0BnC1e3O0B2hrcVO9vpbHKibvNz8ipqZx10xgS02PwuQN4OsKfo84g82Bq6lTsbea9R3eiaZA1OhFbbHgk1O8J4m73Y7aZaKzowGIzcekXJw1qFT6/N0jJtgbKdzYRDOjEp9iwx5mJibcyZnb6gIGRQ3uaWPjPHWSOTmD25SMxWY00HOqgrqyNjkYvdaXt3P3b+YMuhNxa5+b1P26Ovj+aQSMpM4agP4THGeDzfzhnUMdK0B9iz+oamqudKGDU9DT87iDbl1VQX97RY6Uge5yZjIJwIf/D3zdXq49QSD+iml91Ze0senQnrtbwCHTu+CSu/daMfh/jcfpZ9OhOakvCdS6yxySQNSaRKeflsnNFJRveLeWLfz53UEtf9yfgD1GypZ7VrxXj6QjgSLJy60/mDlhYt6a4lbf/vo2ENDvXfWdmt/sPNBAUCun897sfM2p6Wp/TYbred8XzRexdXcOE+Vmcf+e4Xj8f+zfWsvKF/d06650Mhsj3kzvI6Jlp0Sm9tQfbcLWGM348HQFMViNzrypg6oW53Tq/NcWtvP7HLYycmso5txZiNBporHKidMXKF/ZjjTVxywOffF/oukKFVI9jc8meuj5fZ/OWRhpW1WFNtWGOM+Nv9aEHFCFvEKPVyKh7C9H6OS9cNLH3YIse0tmxvBK/J8iMS0Yc0fLmxZvr+eA/u7j48xMHXO2qo9nLwod3RAe0DnflV6f2CAS2N3r430/Wcu5tYweVdRAK6exfX0d7o4fpF/efIRsK6nz07D6K1tdiNBmYdF4OMy7KRzNotDd50IOK9kYPe1ZXU1PcRmyChYs+N6nbwgsAOz+qZOWL+5l8Xg5n3TQm+l1XvKmeJU/u4czrRzPz0hHRUgs1JW1YrEZyxvUMSPbH6wrwym834mzxkZYfh8cZIDkrNlpv0N3uZ9eKKq64f+qA5Qd6s/aNg2z5oJzpF+WRNSYRW2x4IY1QUOfFX28Y9N8AwjXKlj2zl4ZDHWhaeOZAcrYDW4yJsl1N6CHFjEvyKZiWSnujB58rSMAXonR7A7Ul7cQmWpl37SiyxiTgbvNjNBtIzo7tltEUCn2yglvFnmYaDnWgFPhcAeJS7WSNTiAtP+6oi60H/aETps6S0hUl2xvoaPKSlBVL1uiEPr9rPR1+Du1pxhpjigZ67HEWAr5QdCDkRHldQhwNTdM2K6Vm99h+nANFJmA/sACoAjYCdyildvf1GAkUif50Bho+bfRc6Yr3/7OLkq0N5IxLJC7JRnVxK+2N4cyHGZfkM/+Go5sb7vcEKd3RSPGmOjqafcy4JJ9xZxzZUqdKKfasqqb2YBsGU3j01GI34XX68XlCOJKsWGxGcsYm9ZqqPdz0kM7HLx1g18oqTFYjCWl2NA1a6z3RzAlNg6u/Mb3fqSFHoqPZy4a3SyjZ3ojNYeb678zsc7StPz5PkLrSNjqavNQebMPvCzHtwlyyCwd3QVpX1s7HL+2nrrQdg0EL/91cAQwGDV1XmCwGMkbGc8FdE/rNeILwRfjKF4rYs7qGlFwHSRkxlO9uIuANYTBq3P3Q4IMBQ6X6QCtv/XUriRkxXP6lKSRGpiC01rtRejgNvLKoha2LD9He6OHab00f9HvXl6YqJ4v/u5vmaheOZCtKJ5rafbiUnFhSchyMmpHWZ6HvI9VwqIMdyypoqnbhcwcwW8OZMTEJFvyeIIkZMeHV247j32L/hlqWPbOPUPCTlHZrjClaq2DOlUdWS8rrClC2oxGPMxCdctVQ3sFZNxcOWPx1MDoD+UF/+PNvshix2IxDnvHqdQXYvrSC8l1NnH/nuEEXaHa2+Ni8qIy6snYaKjowW8L1AxPSY7jtJ3OHrH0ep5/q/a1kjUkcdIZQxb5mFv5zB5ohPJ3NYNQIBcMj+ld9fVqvRVwBakvbeO33m7tlqPVH6YoN75ay6b0yRs9I48K7J+Bu9xMK6tSWtFG1v5UDG+vIHJVAwbRUbA4zKTkOQoEQydmO8HT1gM7mRWXsXF4ZzSjrnCqfnO2gcHY6eROT+xxs2PrhIda9dTBSz/GT7ZpB4+pvTBvUdOn+AkUAHcXtNK6rBwWWZCsGiwHNpJE4KQlbev/n5L4CRZ+Grite+e1GmmtcXHDn+F4zcTuziN57ZAd+T5D5N44huzCRUFBhthqITbTy4q82gAY3/WB2t4DigU11LH58Nzf/aPYxK1jeUuti8/vl7N9Q1yMgDBCXYmPqBblMOien1yBa1wEye5wZPaQIeEPouiI+zc6tP54zYAB9sNztfja8U0JLrRt7nIWmKifuNl/4eNUgb3wSV31t2lEV5w8GQix5ci8Ht9b3mD9hMGnc89BZR5QZqPTwNM26snbcbT7qytoJBnRScxwYjBoHIgXRu0pItzPl/FwmzM8asvdMCHFqOSECRZGGXAH8FTACTyilHuzv/hIoEsdLKKSzc3klWz88hB5SZBcmkjU6gfhUe3jpaFkd4VOrL29nz+oa3G0+dF0Rl2TDkWzFZDaSO/7YBLl0XaFp/RcMPh78nmA0JbgzuHm0U0FLtjWw9o2DBP0h8iYmk1OYSNqI+F6Lpx8PFXuaWfzEboK+ELFJVpzNvm4BCwjXQpp/4xhGTBqaVQtDQT0cPC1tw2A0EBNnia6QZ4+zEJdswxZrOupaLicjj9NPU5WLoC9Eck4sccm2IT3uT+apy59GU7WTrYsP4XUFmH/DmGH7nHVVW9LG/vW1hEIqmklTsq2B+DQ7N/9wdq8j/ls+KGftGwe59/dnHVEQc9uSQ6x+tbjHdmuMibFnZHLWjWMGzDDQdUV9WaQYeUH8Ea0a52zxsmdVNdYYM2n5DjSDAUeStdf6cL0ZKFD0aRyLQBGEA5zvP7aLqqJw1m5yjgNPux+T2YDXHaCxwonPHcQeZ+bqr0/vdTXGziB+cnYsU87Ppaa4FVebn5YaF0G/zr2/P+uoM0MGq7XeTfGmeix2I45EG0opEjNiSMqKHdQ1VcWeZvasrsYaa8ZqN5E+Mm5Qq5oNBa8rEK2BMxT76mjy4nUGaG/y0NbgYdSMtD6L5h+tutJ2XG0+EtLt4WmZkdViT8fzthBi8E6YQNGRkkCRON4GsxKREKK7tgY3Wz4Id6bjkm0kZ8WG6xr4QiSm28kakyifKSGOoZJtDSx6dCfTL85n7tUFkVVOQ4QCOha7ibf/tg1ni487fznviPddsaeZ2tK2cPDRoJE+Io7EjJiT4jN9MgaKIDx4tfWDQ1QWNdNc7cIaE67FYjBoZI5OIH1EPAVTU/st7F+6vYHlz+7D0xHAYjOSmBmLxWZk5mUjBpWNJYQQ4tQngSIhhBBCiFPYkif3hOvDmA0kpttpqQ2v4qMZwiuYTr84/4RYYvt4OlkDRUMl4A/RVu8hKSvmiDK5hBBCnB76ChTJZFUhhBBCiFPAhfdMYNy8TMp2NtLW4GHE5HDtIK/TT1yKnQln9b3ypDg1mS3GQa/aKoQQQnSSQJEQQgghxCnAYNDIm5A8ZIsCCCGEEOL0dMIHisrKypg9u0cmlBBCiCPQ7g0c0/3H2/pf1lsIIYQQQghxwpnZ28YTPlA0cuRIpEaREEJ8OseyTgecHLU6hBBCCCGEEJ/QNG1Lb9ulqp0QQgghhBBCCCGEACRQJIQQQgghhBBCCCEiJFAkhBBCCCGEEEIIIQAJFAkhhBBCCCGEEEKICAkUCSGEEEIIIYQQQghAAkVCCCGEEEIIIYQQIkICRUIIIYQQQgghhBACkECREEIIIYQQQgghhIiQQJEQQgghhBBCCCGEACRQJIQQQgghhBBCCCEiJFAkhBBCCCGEECcon9vFy796gIZDZcPdFCHEaWLAQJGmaU9omlavadquLtuSNU37UNO0A5H/k7rc9iNN04o1TSvSNO3SLttnaZq2M3Lb3zVN04b+5QghhBBCCCHEqWP/+tVU7N7ButdeHO6mCCFOE4PJKHoKuOywbT8EliqlCoGlkd/RNG0icBswKfKYhzVNM0Ye8whwH1AY+Xf4PoUQQgghhBBCdNFcVQmANSZmmFsihDhdDBgoUkqtBJoP23wt8HTk56eB67psf1Ep5VNKlQLFwFxN07KAeKXUWqWUAp7p8hghhBBCCCGEEL3oaGwAwNncNMwtEUKcLo62RlGGUqoGIPJ/emR7DlDR5X6VkW05kZ8P3y6EEEIIIYQQog9+rweAtob6YW6JEOJ0MdTFrHurO6T62d77TjTtPk3TNmmatqmhoWHIGieEEEIIIYQQJxO/Jxwo8rmcw9wSIcTp4mgDRXWR6WRE/u8Mb1cCeV3ulwtUR7bn9rK9V0qpx5RSs5VSs9PS0o6yiUIIIYQQQghxcuvMKPJKoEgIcZwcbaDobeCeyM/3AG912X6bpmlWTdMKCBet3hCZntahadq8yGpnd3d5jBBCCCGEEEKIXgQigaJQIEDA7xvm1gghTgemge6gadoLwPlAqqZplcDPgd8BL2ua9nngEHAzgFJqt6ZpLwN7gCDwVaVUKLKrrxBeQc0OLIr8E0IIIYQQQgjRh86pZwA+lwuzxTqMrRFCnA4GDBQppW7v46YFfdz/QeDBXrZvAiYfUeuEEEIIIYQQ4jTm93pwJKfgbG7C53LiSEoe7iYJIU5xQ13MWgghhBBCCCHEEND1EEGfj7jUcN1Wr/PUrlMUCgaoKyke7mYIcdqTQJEQQgghhBBCnIACXi8A8SnhQJHP7RrO5hxza199kWd/9C0aD5UNd1OEOK1JoEiIU8T2D9/j4S/eia6HBr6zEEIIIYQ44XWueBbNKDrFVz5rKC8BoPbggWFuiRCnNwkUCXGKWPrEo3ja26gvLRnupgghhBBCiCEQ9IVXOXMkpQCn/tQzo9kMQF2pTD8TYjhJoEiIU0TnBUTl3l3D3BIhhBBCCDEUgn4/ALFJSQD43Kd2oKijsQEAZ3PTMLdEiNObBIqEOAUopaJz1p3NjcPcGiGEEEIIMRQCkYwiqz0Gs82O7xSfeuZsaQbA1doyzC0R4vQmgSIhTgFBnw+/xw2As0W+WIUQQgghTgVBfzhQZLJascU68DpP7WLWndezEigSYnhJoEiIU4DH2RH92dXaPIwtEUIIIYQQQ6Vz6pnZYsUaG3tKTz3T9RB+T7h4t6ulGaXUMLdIiNOXBIqEOAV4I4EizWDAJRlFQgghhBCnhM6pZyaLJZxRdApPPQt4vQA4klMIBYP4XKd29pQQJzIJFAlxCugMFKXmjZCMIiGEEEKIU8QnU89sWGMd+E7hVc987vC0s8SMLAA8zvbhbI4QpzUJFAlxCvB0hANFKbn5+D2e6IiMEEIIIYQ4eXUGisxWK7bYWLyncJaNP7IwS0J6BgDejo7+7i6EOIYkUCTEKaBrRhGAU7KKhBBCCCFOel2nnlljHad0jSJfpD5RfFo4UCQZRUIMHwkUCXEKcLe3ApASCRS5WiRQJIQQQghxsgtGA0XhVc/8Hg96KDTMrTo2Olc8S8zIBCSjSIjhJIEiIU4BTRWHiE/LiKbqOiVQJIQQQghx0gsG/BiMRowmE9bYWIBTtqC1LzL1LD5yPeuRQJEQw8Y03A0Qp7bq/XtprqqkYMZsYhOThrs5p6z6shJS80dE32NZ+UwIcapoqanC09GO2WrDaLaQnJ0z3E06JemhEAGfF097O40V5SgUBdNnYzKbh7tpQpzWAj4fJosVAFusAwgHVGLiE4azWceEpyM81SwxIwtNM+CVqWdCDBsJFIkh11JTRcmWTexft4rq/XuB8Fzje/74Tyw2+zC37tRzYONaWmqqmLLgUuxx8RhNJln5TAhx0vI4O1j86N+pLyvBbLXSVFUBSkVvv+De+5h5+TXD2MJTT13pQV74yXcJBYPdts+84louuOeLw9QqIQSAz+XCEhMDgLUzUHSKrnzmaW8DICY+gdjERDqam4a5RUKcviRQJIaMUopdH33I6peexdXSTExCInOvvYnUEQW89/c/ULTmY6ZceMlwN/OUU7l7JyazhVlXXIumacQmpcjUMzHklK7TsPYD3FWlmGIcmOIS8bc0oBnNhLwuAj/6EebIiOdAQsEgLdWVeDraMVnDNReaqytJzRtBQnrmMX4l4kTmbmvl5V89QGttNRmjCjEYjcy8/BpGTJ2O3+Nh2wcLWfPKc0xZcOmgjzcxsH2rVxAKBkkfOZqM0WMYNXMu619/kd0rlnD27XfLey2AcNbZzmWLqTlQhLuthaTsXMadeQ7ZY8cPfh96CE0z0FR5iNqDB9A0jfi0dHLHT0IzSEWM3rjbWohNSATA5ogLb+toG8YWHTvu9nZsjjgMRiPxaRl0NNYfs+fyOp3sWr4Ys82O2Wqlo7mJ/MlTyRoz7oj3pZSiev8+bA4HQZ+PxopyEtIyyJ04+Ri0/MjaVV96kIDfR31pCc1Vh2iurqK5upKY+ATOv/sL5E+eNqxtFCcuCRSJIbPlvbf56Jn/EJuYxKVf/ibjzjoXs8WKUop1r73I5oVvMum8BRiMxuFu6imlqaqClLz86PvqSErG1SIjMGJoNaz9gJolr6IZTahQOOvAYLWDUuh+LzuXLmbm5VcPuJ+A38ezP/wWzVUVPW5Lzsnj3j89jKZpQ97+oaaUYtvihWxf/B5KKfweNyaLBZPFSnxqGufccW90FUIxeGtfe5GWmipufODX5E+e2uP2mPhEXvn1AxxYt5qJ5144DC0cvFAwiMFoPOGP53Bn6UNGzZrL9d//WXS72Wrl1d/8hOL1a5hwzgXHrT0+t4tdy5egh4JoBgOtdbW4WpqYc81NRxSQEENv+5JFLHviUQCssbEc2rWdrYve4Z4//pOU3Px+H1tfVsLypx+j9uAB9GAIPSTZa4PlamuNlhboLPLcVlc7nE3qRimFz+2icu9ukrNziUtOwWyzHdW+PO1t2CNT6uLT0qkpLhrKpkYd2LiWRf/4EwGft8dtn/3LoyRn5w5qP0G/nxXPPsG2D97t9fYbH/gVI6fN/FRt/TQ2vPkKq158Jvq7zRGHIzmF1LwRlO/YytrXXpBAkeiTBIrEkNn10YdkjhnLHb/+Y7dRIU3TOPvWu3j7zw+xa/mHTL3osmFs5dBqrq5kzcvPYXM4SM0bSXrBaIJ+P56ONhIzsjBZrCTn5B6zjoJSisZDZYyYOiO6zZGUTENF+TF5PnF68jbWUrPkNRImzmLETV8BpaMHgxgjWQZFj/ycg5vXDypQtGv5hzRXVTDryutIG1EQ7UzX7N/HjqXvU71/HznjJnzqNns62inbvgVnSzNj5swjPjUdo2novvJ2Lv2AZU88SsaoQmISEjBZLOHnbW+nZMtGdF3nxh/9csie73QQ8PvYs3Ip4886r9cgEUDepCkkZmaxeeFbjD/7PAyGE2Pgoa70IEufeISOhnpiEsIdusaKcqyxsVzz3QfIHT9pmFvYt1UvPo3f4+asWz7TbXv+pKkkZ+ey5tXnKZx39qBqFdWXlVB7cD8AzuYmssdNxB4XT9qIkYP6WymleOuPD1Kxe0d0m8Ueg9/jpr6slC/84/ETPvB2qvJ7Pax77UXS8kdy6y9/jzUmlo7mRv5z/+fYt+Zjzrrlzj4fG/B6eeN3v0ApxaRzFwCQnJ1DzoTJuNtaWfXiM+xY8j5n33rXUQcYTnQHN29g/esvYbSYSczIwuaII7twPI7kFLIK+89gcbe3kZZfAEBMQiJmq43W2prj0ewBbX3/Hba+/w4tNdXRbQajEXtcPPa4eC750jcGfH1dedrbsMfFA+FA0f51qwgFg0P6/e1qbWHJf/5FYkYml3z5m8QmJuFub6O6aA/Lnvw3+1avYP7NfR/PXa187km2ffAuZquNjFFjKJx7JpaYWGLiE3jrjw+yb/WKYQsUhYIBNr37BokZWZx39xfIGDUaR1JK9By68e3XWPnck9SXlZA+ctSwtFGc2CRQJIZEU1UFjYfKuODe+3pNHR4z90yyx01k9cvPMuGc8zFbj82FgKejnb2rPqK1tobssePJnTAZk9WK0WjCZLUO+QXm6peeZf+6VWiaAaX0Xu9zzh33Mvfamz71c7laW6jYs5PmqgqyC8eTO2kqHY31uFpbuo2yxqWlRzqqoROmEyVObs1bP0YzGMi5/M7wZ0gzYrR8cmw5Ro6jetsqgn5/NGDSm1AwwMa3XiN73ETOu+vz3T6PY8+Yz95VH7Htg3c/daBo1YvPsP6Nl6O/r3z2CTSDgcTMbJKzc0nMyCQmIZHswvHEpaahaVr0/8EIBgKseul/5E2ays0/+U2Pc97ql/7H+jdewePswB6ZJiAGVrplI36Ph4nn9J0ppGka82++k/f+8Ue2ffDeoIKTx1rNgSJe/Pn3AcgZNxGDyYTSdQrnnknl3l0s/e8j3P1//zghAxxK1zmwYS2FZ5zVo6OgGQycf88Xef23P2f74oXMuvK63vehFId2bqep6hArn32iR50jgLFnnMXV3/nRgO0p3rSOit07uODeLzF+/jmgadjj4tmx5H2WPP4vWmqqBj3SD+Fg1cHN6wn6/dSVFKOUIjV/JAaDgYDPx5k33X7EfxddD+Fpb0cphSMp+YgeezLb+v67uNtaufZ7P8EaE155Ky45ldyJkylas5L5N9/R53u5ZdHbOFuaufWXv+81aGqyWHj5lz9i88I3mXfjbcf0dQyH1toa3vnzQ8SnZ2LRbRxYvya6uheaxs0/+U2fWR1KKTxtrcQkJkburpGYmUVLTdVxan3fKvfsYtmT/yZj1BhmX30DyTm5BDweOpqbcLe1UrJlI4sf+8cRnf/c7W0kZYUXLEgbUYAeCtFQXkrm6MIha/fHLzyN3+3mph//mrQR4QBcXEoqGQWjKd64jh1LP2DutTf3ez0D4WuBncsXM/6s87jyG/+vx+0Tz72AfWtWcv7dX8TmcAxZ+wdr57IP8To7uPyr32HUzDk9bp984SVsePMVFv/7H9z+6//DaJKFC0R3xz1QpGnaZcDfACPwuFLqd8e7DWLo7V+3CoDCM+b3env44v6OcBr7xnVMOPv8IW+Du72Nx7/2+Wga6db33+l2u8Uewx2/+RMpuXndtgf8vqOqv9DeWM+BDWuYffUNnH3bXTQeKqe1rgaD0YjJYsXr7GDVi//j4+efonr/Xi787JeJT007qte27vWXWP3S/w57PfZocfCuFxgpOXkEA37aGxqiKcpCfBrO0r3E5hdidvS+wkpc4VQaNyylbPsWxsyZ1+d+9qxcTkdTAxff97UeF40Wewwzr7iG9W+8TGxiImffds+AF2m9aao8xIa3XiUlN58Fn/8KQb+f5qoKPB3tNJSXUl20h4Ob1vV43OVf/c6gpzId2rkNT3sbc66+odfA+KiZc1n3+ksUb1zLlAukLttgFa35mJiERPImT+n3fuPPOo/dK5ay6sVnGDP7DOLT0o9TC3u3c/liDCYTd//+79EOTqcdS9/nw8f+yf51qxh35jnD1MK+VezZhbutlYLps3q9vWD6LPInT2PDW68y9aLLegzyuFpbePvPv6W6aA8AqXkjuOz+b2NzxGGyWGgoL2X/ulXsXLaY2oMH+u3s6aEQq55/muTsXKZfckW3aer5U8LfcaVbNw86UFSydSNv/t+vUXqXQRxNg9Uror9mF45jZB+vHcLXBxvefIXyndtAV7Q11OHpaA/vU9O46pvfH/TftapoL42HynC2NONubSE+PQOLzYYtLp4JZ503qH0Mp5LNG8gqHNdj+t/Ecy7gg0f/xtpXn+81C6Olpop1r73ImDnz+sysy50wmfFnnceaV58nZ/xE8ib1zCh0t7VStG4VAa8XR1IymWPGEhOfSH1ZCUnZ2cQlpw7NCz0GPn7+KQxGE7f89EEcySlA+Jq18VA57/z5IbYseqfPQJGnvY1QMIijy8rB6QWjObhxHUrXh7Wu07bFC7E54rj1l7/v9Tp62+L3WPrfh2koLx1UxopSivbGBkZMmQ6EA+8AVft2D1mgyOtysm/VR0y+8NJokKireTfcysu/eoDtHy5i1pXX9ruvyt07CPp8jO/j8zvz8mvY9dES1r72wnGfVql0nY1vv0rO+IkUzJjd633sjjgu+fI3ePtPD/HxC89w/l2fP65tFCe+4xoo0jTNCPwLuBioBDZqmva2UmrP8WyHGFpKKfavXUXO+In9flHnT5pKfFo6u1cs7RYoCgYCrHrhKaqK9pI3cQqO5BQyRxeidEVsUvKggx07ly0m4PNy0RfuJ3fCZNobG6g7eACFwu/xsOndN1jzynNc/e0fRh+zZdE7fPT0f4hNTsZstZE3YTLBgJ/MMWOZfsmV/Y6AbPtgIQAzLrsKo8lMxqgxZIwa0+0+2WPH88bvf8XBTesJ+Hzc/JPfDOq1dNXe2MC6118kq3Acs6++gezC8dSVHqR060aaKiuYd+Pt3TonnRfRzVUVp2WgSA+FjqgOlt/jprmqEq+zA4PJTEJ6Bha7HaUUBqMRg9E4qNX6lFI0lJfibG4iFAqSmptPwOfDbLNhsljQg0Hi0zKOaPQ6XPfGit/jobm6kriUVCz2GCx2OwGfF5PZckSv1Vm+n5Yd6wh5XdjTc7Fn5WNOSMFoj8ES3/vIeMjrxlN7iIxz+87ciCsYT2xiElvff5vRs8/o8zVuevcNMkaN6TMN+8yb7sDr7GDzwrdoqqzguu//7IjTzde8/BwWm51bfv7b6NLBXTvBSikCXg8+t5uqoj0EfT62LHqbda+/yIRzLhjU36diz06MJhO5k3oPaGSOGUtq/kg2v/smk8+76LQr0Opzuz4ZLUdD6Tq6HiIuObXP4J9Sisp9uymYPmvATEhN07jkvq/z1Pe+ylt/epAbH/jVsC0TrXSd0q2bKJg+q0eQCGDSeQvY9dES3n/kr+jBIOPPPv+EyizauewD7HHxjD3z7D7vc+ZNt/PSL37I5ne7Z3vUl5Xw2kM/w+/1cPF9Xyd9RAEp+SO6dRhjE5PIKhxP0dqP2fLeW1zx9e/1+Txl27fQXF3J1d/5UY/zWlJmNhmjxrBj6fvMuOyqQZ33Vr/4LDZHHNf9v5+gGQwkpGdiczhoq6tFKcVrD/2cpU8+yjm330Ph3Pk9PqdK13n7jw9Stn0LAAkZmSRmZDH5/IuITUph88I3WfHsE4yZc+aA56lti99j6ROPRFfvM1tt3WqjxCWlDHvR2/4EAwHqSg4wo5fVBiedfxEVe3ay9rUXyR43kZFdpsIDbHrnDQAWfP7+PvevaRoXfeGr1JUUs/ixf/DZPz/a7W98YMMaFv7t/3rNVgPIHF3IHQ/++YT6bHVytbZwYONaZl91fTRIBOFVvfInT2XyhZeweeGbuFpbonWIumo4VAZASpead/mTp7H7oyXUlhw4qsLLQyEYCFCyZSMTz72gz8HWcfPPYflTj7H7oyWk33vfgPv0OjsIeD3R4H9cSiopufkc2LCmz4zGI1WyeQOhYJBJfQwM5U2ayoipM1j98rOMmTOPhPSMPve1ZdHbxCQkRgPZh0sbUcDUBZey9f13mHjOBT36CMdSXelB2hvqmX/znf1+LgrnzmfaJVey+d03GD1zTq9BWnH6Ot4ZRXOBYqVUCYCmaS8C1wKndKDI09FOc3UVJrMZv9eDhkYoGCQUCuBsbiYU8GONiUUzGDBZrVisdowWMwGvF5QiGPBH96VpBowmE36vF5/LiVI6XqcTzWAgNjEJs9WKzRGPNSaG9sZ6/B4PEL7gscbGYjSZcbW20NHUGC28arZaCQUC1JeXAIRr65jNGEzm8HN5PHg62rHFxhLw+Qj4fQT9PgJeL3rkS7uxopyLv/i1ft8HzWBg0nkLosVKOy+qFz/6N/au+ojEjCw2vftGt9E/g9HIbb/6vwG/CL1OJxvefIWC6bOYdvEVAKTk5nfrIAa8XnavWIrX5cQW68Dj7GD1S89gMBpIzs4l4POyf114+syelcso3bKRjNFjOeO6numnSin2rl7BqJlziU/tezQ7IT2Te//0MJvefYMV//svlft2H3GtinWvv4jSFVd98wfRL09HcgqjZ83t9f6p+SPQNAM1xft7TTUdDgGvl4q9Owl4vVhsdhwpqficTlxtLRjNFmLiE0jJzccaWf61P56OdlY8+wTlO7ZitloxGE04klNwJCXTXFNF7YH9FM47iyu/8b1+O5yu1haWPvFI9KKhPxZ7DNMvuYKZV1zb40LO1drC7hVL2fXRElqqK/vdT1J2LuPnn8O4M8/tkdnWqeZAEZveeZ3akmLaG+owmkw92te5LSYhkQlnn0/aiAIKZszus7Psbmul/PXHaN25HoPFhik2nrY9mz65g8HIqDu/RdyoiT0e66o4CEoRO2Jsn69LM5qYe93NLH/qMba+/06vS5e729torqrg3Ds/2+dFi9Fk4qIvfJX0gjF8+Ng/eOcvv+Wiz9/f7eK6P56Odg5sWMusq67r873QNC0SbIth/PxzgfB5ZtG//kzl3l3kTew/mwXCo5sZo8f2eXGsaRpzr7mR9/75J1a//Bzzb7njhJsG2niojLIdW6kt3k8wEOhyiyLo92OLdeB1OcmbOIWZl1+Dz+0iNim5z7+dHgqxbfF7bPuge62KrmKTkrnxgV+Rlj+yx20dTQ2421rJGOSocXxaOld96/u886ff8tIvfsgNP/xFvxf0gxXweQl4vYRCQeyO+AGz2ir37cbZ3EThGWf1ervRZOba7/6Yt//0EO/9808c2LiWc+/83JAF8ZVSNFWU01Jbjae9HZvDQUJ6JnGpaXidTjqaGkjKzO4z66p6/z7yJk3tN6s2d8Jkxs47mzWvPE98egYTz7kApRRLHv8XALf/6g/9ZgtYY2KYfMElbPvgXc644VZScno/91Xv34dmMPSZ3TT3upt558+/Zcuit5l91fV9Ph+Ej+/6soNc+Lkvkz22+1TWzmuPS+77Oosf+wfv/OV3vRZS3rt6BWXbt3DeXZ9n3JnnEJfSfSAsPi2dt/7wa4rWrOw3G7F403qW/vdhRs2ay4LPfhl7XDwmqxWf20V7Qz0v/uz77Fqx5IQOFFXu2UkoGOz1/BgO8txPXUkx7/39D1z7vZ+QMz78XeLpaGfPymVMOOf8AafpWWNiOOeOe3j7Tw+xb/WK6Hvq93r48LF/kpI3gou+cD9JmTk0VpbT3lCPs7mJQ7u2U75jKzUH9vX4Ww83PRRi+4eLULrOpPMW9HqfKRdeyuaFb7L0v49w9Xd+1OMc2xgJFHXNfhk1Yw4ms4Vdyz4ctkBR5e4dBHxeCmb0fZ1pd8Qx7syz2b5kEdMvvbLXYHpX7Q3hFc66nq8mnbeAlc89Sdn2LUNS62f/+tXEpaSROabva5pL7vs6T/+/r/L+I3/hlp8+1Otgj8/tonznNmZfdX2/58+zb7+Hg5s38P7Df+HO3/51ULXehkL1/r0AgypUfd5dn6N06yaWP/UYn/n937pdr1QV7WX3iiX43W7GnXkOo+ecccJdzxxPuh4CBT6PG1us44QMTg+l4x0oygG6LnVTCZxx+J00TbsPuA8gP7//VRROBhV7dvLOn3873M0YkDU2NnzwR0eCP9G1Bo/RZIoGmDSjEXdrC/mTpw1q2sa0i69g49uvs+Txh7nws18m6Pexd9VHzL3uZs65/R6UrtPR3Eh9WSkBr4dlTzzKy798gOTsXM6987OMmDq91/1u++Bd/B43Z99+T5/PPfWiy9i+ZBHLn/w3l37lW2xZ+CZ+j4d7/vBPUrt0XHQ9xPv/+gvlO7dRum0zpVs3cu6dnyNv0pToCaG9oQ5nU+Ogaw9Nu/hyNr79Gsue/De3/PShQc9V9rnd7P5oCVMWXDbo6RXWmFgyRo/h0M5t/RaX7I9SCndbKzZH3IAjpU2VFdSXlzBmzrweX5ahYJAdS99n7asv4GnvfylXe1w8ky+8hPyJUxgxdUbP0V2lKN60jiX/+RdeZ0e0Yxb0+2irq6W+9CAJ6RmMnn0G+9d+THt9LXmTp5FRMIaYhASsMbEoXaetvpaqor3sX7cKr9PJtEuuJG/SVOxx8eF91dcR9Psi+/bjdXbQXF3FhrdeZcuid0gvGI3JbMJotqCHQlQX7SXg85I9biKzv/g1knNyQYWnJpqtNnxuF6FgED0U5MCGtax97UXWvvoCafkjSRs5iqDfj6ZpmCwWGivKqSspxhYXT/7kaUxdcClelxN7XDzJ2bl0NDfi93jwOjuwOeKoOVDElkVvo3QdW1w8hXPmYTCaMNtsBP1+3O1toOuU79qG3+Ml49yrST/7CgxmCyGfB09dJd66CupWvEP1+y8w9su/QDvsAsBZXoRmMBKb23/a+IxLr+LQru0sf/o/GE2maMC2U11JMQAZowYOBExdcCmhgJ+Pnnmcf3/lHhLSMzAYTSz43Ff6PAdA+MJIKb3PIGpfCs+Yz9InHmX74vcGDBQFvF7qSooH7KiOO+tcSrdvYf0bL+FsaeKSL32914urjqZGLHZ7tOZHX5RSVBftpebAPhorDwFEBh+8uFpbcLe14uloZ/TMuVz4uS/1WWtAKcXmd99gxXNPglLEp6X3eG6jyURbfS0mi5VVLz7Dqpf+B0oxcvosLv/qd3oE4drq61j8779xaNcOcsZPYvIFl0SLkSqlMBgMKKVY88pzvPqbn3DjA7/qEVio2rsbgOzCwa9qNWrGHG584Fe88X+/4olvfYkJZ59PUlY2Sdk5FEyfNehaeEop9n68nC2L3o4epwAmi5WkzCzQNHInTOaCe77Y47x0aOc2NIOh32MuNjGJW3/5Oza98warX3qWA+vXkJSVw8hpMxkxdQbJObk4EpOPqIivUop9a1ay9tUXBgxQm6xW7nzwzz1W4XO3tdLeUMeMS68c8Pku+8q38HS0s+hff2bb++9iT0ig5kARCz73lUFNKZlz9Q3s/Xg5C//6e25/8E+9dqxqiotIyy/o8+9WOHc+o2bOYdULT5M1Zlw0GNGb8p3bABg9q8clZtSIqdP5/N8fY+l/H2HLe28xetbcbp2qsu1biE1MYtaV1/XaGRg9cw5p+SP54NG/U19Wwtm33d1rYHHTO6+RlJXNNd95oNv3qS3WgS3WQeHcMzm4cR2hLx5dwV6lFId2bae2eD8miyX8fRMMEgqF0IMBQsEgFnsMSumkjxzF6FlndMvW6Ryca6w8RMWu7dSXldJcVYGzpZnYxERik5Kp3LMLk9VKXh9F5s1WG1d/+4c8/5Pv8eLPw9Pxzrzpdg6sX0Mw4GfmFf1P4ek0ZvY80gtGs/zp/5CUlUNW4Th2f7QET0c7133/p9GgSO74SRAZdJt28RU8ct+d7Fm5fNgCRaFggIObN7D34+XUHjyAu60Vs82GHgwR8HnJGDWmz1XhkrNzOPeOe1nx7BOsevEZzjnsOrahvJTYxKRu512bw8HE8y5k1/IlFM49k/wp04/pisLtjQ00lJdisdmIS0nDkZLK1g/exeaI6zObptO5n/lctFZRX0GXTp11lxLSPwmkz7jsanYu/5B3//Z7csZPwhYTy/n33ndU9f90PUT5jm1MvuDifjv48WnpnH/PF1n86N/Z8NarnHH9LT3uU7FnF3oo1O/UVYhM7/rS13njd7/kw8f+waVf+eZRBVr0UIimqgpMFgtBny9Sqyq7z8GMmgNFOJJTegS4e2O2WDn3zs/y7l9/x9t/eoiLv/i1cIHvtlZe/fWP0XUdk8VC0dqPsdhjyBk3gdT8kdEyF/mTp/WYLny86XoIn8uFNTYWTfvkGGusCAeVYxISaG9owO9xE/B6okkD7Y0NmG12QOFsbkYPBWkoK8Hv85KclYPJYiXo9+F1OelobsLZHFlVWilGTpvJjQ/8anhe8HFyvANFvX0qVY8NSj0GPAYwe/bsHrefbHLGTeTGB34VLvRqtWIwGAANs9WKNTYWW6wDn8eN0nV8LhcBnzdysDswWcyYulxQ6aHwkqJmqw1rrCMyLcaGphlwtbbg94azf5zNTaTk5mOLDQckdF0nGMkEsscnkJCeQSgYJOjzEfD5MBiNxCYkAuHOcTAYCF9oBAMYTWbscfEEfF7MVtunOhHEJiZx/t1fYOl/H+Gp734Fk9mCzREXDbhoBgPxqenRLJ3k7FzWv/kyNQeKeOevv+XePz7cI7sg4PWyedHbjJo5p98L1vSRo5h3w22se+0FakuKaaurYey8s7sFiQAMBmM0Pf7AhjUsfeJRXvn1AyRl5eBITiFv0hQaD4VXFRvskpJmq41Lv/xN3vrjgzzz/a8z6fwFjJw6E2tsLHEpaX1m0tSVHEAPhRhzhB3fUTPnsOaV5+loauz3S6KlporSrZuoPXiApqoKQoFA9IToc7lIzsnj9l//IXocHW7LordZ/tRjADhSUplywcWRaSY6mqZxYP0amqsryZ04mTOu+y6O5BR8bjctNVU4EpOISUxCD4XoaGxgx9L32fTO62x861US0jNIyMiivvQgfo8bmyMOg8mEs6mRtBEFvXY0Oyml2L74PXZ99CGb332zxxK8EO4AZo0Zy7l3frbfUaWumqsr2fLeWzRXVxEKBvE6XSilUzBzDvNvvqPPUfKuZlx2Nc6WZvavW03RmpXhrCibDaXrhCJT0y649z4mnnthn+/54ULBAA3lZax68RlKtmyM/A39aEYjjqTkcBunz0ZNuwhbWnb0cUarHUd+IY78QkyOBMpffpjKhc+Se9Vd3b5kXeX7secUYDD3X8dLMxi48hv/j3f/+nuWPP4wHU1N4dXG0tKJiU+gcu8uDEYjmaMHl3o947KrGTF1JgfWr6axopzq/ftY8vi/+Nxf/93nhWbl3t0YjKZBZ6V0MlttzLjsKta/8TK2uHgWfPZLfT5HTXEReihE7oT+R/8NBiNXfO27JGZksvbVF2iuqmDKgkvJHjsheqzUlRTz3I+/g8FoZOy8s7nkvq/3uOjT9RAH1q9h/Zuv0FAWzvqMSUjEYDQSCoa/C2ITE0nMyCQpM5sdS9+ntuQAo2bMZtZV12O22vC0t9FaV0NHUyPFm9azf+3HFJ4xnwvv/dKA2VqVe3dxYP0aNIOBbYsX8tR37yejYDSulmY8He3Y4+JpqCjHaDRy6Ze/yaTzL+rzAjxn/ERe+c1PeP7H3yE3EpAL+HzEp6ZRX1aCPS7+iFdeyZ04mXv++E/WvvoC+1avjAZ5DUYTyTm54e/MYBBHSgpTL7q8Wy2YYCCAN5KhuG/1CtLyR3LmTXcQE5+AZjBQc6CIjqYGQLH1/XdIHzmKyRdc3O35a4r3k5o/csDpqQaDkbnX3sS4M8/m4Kb1lG3fws5li7vV0rPYw/vIHDOOedffgj0+AXdbKwGfl7b6enxuZ/j72e+nvuwglXt2kT5yNBd94atkFY7D5ojD6+ygrb6WjsYGbI44zDYbHzzyN977+x+46Itf7daR7lx2OnMQKxKZbTau/+HP2fDmK+xZuZymqkNMu/jyHu9HXxzJKVz21W/zxu9+yYpnHueiL3y12+1K16kt3s/4s87tcx+apnHZ/d/m+Z98l1d+/QC5E6eEr4MMBuJSUtE0jYSMLNLyR1K0bhXJ2bkD1gU0GIyc95nPUbFnF6//9ufMvOJapl50OQnpGVTt20322Al9Hs+awcCNP/41Hz//NJsXvkn5zm1c8fXvdcuYC/h91BzYz6yrruszCFQ472z2fLycg5vWMXZe31MAe+NxdrDoH3+kdNvm3l+f0YTBZCTo80W3JWVlM3L6LNrqammtq6W1thrNYCAUySyMTUwiOTuX3InhFcnqDh4gY9QYzrj+ln4zJ1Jy8/nCPx5n9cvPsWPJIorWfgxAwYzZPYKUfdEMBq761g949Tc/5aVf/ICJ515IyZaNZI4Z22cQyBoTw4Szz2f3iqWcdetnokHqgbTUVLF//Rra6mqwxjrQg0G8zg7qy0sJBfz4vV7mXH0DM6+4tscxoJSio6kRT3sbe1YuY8+qj/B2tEeuEafiSE4h6POhh4Kk5OZTOLf3+p2dZl11PS211Wx48xVQijNvvjOaedJQXtbjOhXgrFs+Q8WeXbz2259jNJvJHjshnD2YnhG+hkrPID41Hc1gIOD1UF9aEu5fuF0YzWZGzzqDmITEfgMmNQeKWPn8k1Tu2dXr7Wfffs+ANT4dScmcd/fnWfzo31n/5ivMu+HWfp/PZLF2C6qZLBau/e4DrH75WepKDtLeUAfAgi/c32P6vdJ1/F5vn9fUbXW1BP2+QU0Bm3z+xZRv38qqF5/B63Iy4ezzSc0fEQ3y1JUcQNMMg6qdNGrGHObdeDvrXnsBo9nM/JvuoK2+jlAw2OcKnxA+f2x861X2r1tNU1VFdOpqp6SsbK7/4S9IzMjq8Xes3r/viAZexs47i3Pv/CxrXn6Op757P1ljxuJxdhAM+Ln3T4+QlJXNro8+pGzbFlpqqynfuS08IKVpHNy0js0L3yBz9Fhyxk1gwrkXfuqFPELBAK6WFjwd7bTUVhMKBGhvrMfVGh4Ug/BAsbejA7/XQ1PloWjQ22AMn2utMTHR+/ala9a+2WrDbLORkJFJUnYurbU1hIKB6Ayc/IlTcKSkYjSZsNjsxET6zacyTanjF4fRNO1M4BdKqUsjv/8IQCnVZ7rN7Nmz1aZNm/q6WZyk2hsb2LnsAxoPlXHGdbcM2Flvrq7if9//OnmTp3Ld93/aLRq/eeFbfPTMf7jtV38YcLUkpVS0VoLZauXSr3yr36ljEA6c7Vz2AYd2baetvo6G8lIAJp57IZd/9TuDfMVh1fv3surF/1G5Z1c0QyshPYPP/uXfvV5Edhaxvv+/LxzRSbe1rpYnvnUf4848h7NuvQulh0jIyIy+b/VlJWx48xX2r1uNUjq2WAdZheMwWa2YLFYsNjs2Rxwb3nyFxMxMZl99I9mF4+hobsLncmKPS8Dv8/DuX37PyGkzmHbJFax95XlqDx4Awhd7StdJzMzivLu+wOhZcweVnul1OineuJYDG9bQWldL9tjx2OMT8Do78LndjJgynUnnXTjolRmCgQCNh8rwupz4PW40g4G4pBTSRhac0qs7dJ7Xu77nS/bU9Xv/2mVvUL9qIckzziFuzGTai7bha67HXXmQ9LOvJGvBDf0+50UTw9N+QsEgi//9d/asXBa9LS41jY7GBnLGT+S2X/7fUb2mfWtWsvBv/8fV3/5hn52pp757P7GJidz804eOeP+hYIAV/3uCre+/w+QLLubCz3251wvgNa88z9rXXuBrT7w4YBYQRLJVVn3EqheeiQQdIC1/JOPmn8uBDWtpPFRKwYzZ0SL/Y+edTcWendHMlrZI9mJSdi5zrrmB0TPn9ntxsmPpB2x7/x0aDpX12kk0WazMvvoG5t90+xHXTqo9eIBN77xOS001juRkzDY7Aa+HjFGFTL7g4kEV6+9obmTzu29Qtn1rODPVZqW9oQGTxcIZ19/CxHMuOKI2HS7g91G1bw9l27fQUlOFyWTGYDLRUF5KU+Uh0kaOwu9x42ptIeQPoJSOwWjijOtv4cwbb+v1PVG6zku//BH1pQe55rsPkDNhEp62NoKBAP/7wTeYfMHFLPjcl4+4rUG/n5oD+2hvbMDV2oKrpZlQMEjxpnW4Wpp7fUx4sQQL1lgHc66+gWmXXDHg6PTBzRv44JG/4uloJ21EAWabHXdbS3R57W888+oRrUSqlEIPhY4q+2XFs0+w6Z3XuegLX2XaxZdHtzdVVvDUd7/CpV/+5oDBJ1drCx+/8HT43O7sIODz4XO7woMUoVD0fud95nPMvrr/81Ynd1sry578d/Q7MTEji9a6mkEXuS/ZupEPHvkbPreLEVNnkDt+EpmjC3G1tbLwb//Htf/vp4yZ3Xt2UygY5H8/+AYtNVVMu+QKzr/rC70OyFXv30vl3t3kTZxCKBSk9kARG956FZ/bxbl3fpYpF16CrusYjSYMJhMGozH6HRDw+9DQKN22iRXPPhE9pyRmZJKQnolSivSRo8ibNGXAa6LBaG+sZ/vi9/A6nZx50+2Dnj7cyd3extL/PkLxxrUoXXH9D37WZ0FeCGcNPP29rzLn2ps49457+913KBhk3esvsf71l1BKJyYhEb/bjdFsxmy3k5Y3AqPZTEdTI3UlxeROnExsQhKawYDRbKap8hDtDfW421qBcKd0zJx5TL7gYkZMnX7U03J0PcTif/+D3R8tITEjiwnnXMDYeWfx7A+/yYzLr+G8z3yux2MCXi/71q6ksbyM6v17aauvG7Bj3FViZhZTLryUCWefTygYJODz0t5QR3NVJaXbNlOxewcxCYnMuvI6csZNJOj309HUQHtjPXGpaYOuwaeUYuHf/0DRmpXMvvoGxs47C1dLC7a4ONLyR2KNiSXo9/P0976KIyWFW3/e9zpHXVc1tcbGEp+aHs2o1TSNUCjEgs9+mem9ZEoe2LCGt//0EHc++OdBDRIGAwE+/Pff2bPqI1AKiz2GyedfxKyrruPDx/6Js7mJe/74rwH306nz/BelaVz//Z/1KBOhlKJq326WPP4wTZWHyJ88jYzRhZGAuAFbbCxt9XWse+1FggE/+ZOncf0Pfh4daHK1tvDol+46onNgp4byUja89Sr1pQdprq5k5uXXcEEv9aWUUtHzy+aFb7H9w/cIBYO0N9ThSE7h7NvuZtz8c6MBT1drC4v+9WfqSg9ijYnB7ohDMxrxu90EA/5oJqTSdYxmM66Wlp6rSWsaZosVs82GxWbHbLdjdzgwGE2kjRxFbEIiPrcLv8eDZjDg6Wgne+x4UvNG4G5rIz4tPbrQgjUmBp/bjd0Rh65/MmPmdKVp2malVI+T7PEOFJmA/cACoArYCNyhlNrd12MkUCQ6bX3/HZY9+W9S80ZgjXWQmJmFCoU4uHkDaSMKuPUXx2cBPb/HTVt9Hal5I466SK2rtYW6kmIayktZ9eIzXHb/t3udv/7Kr3+Mu72Ne/7wzyN+jjWvPMfaV1+I/m6NiSVzzFjcrS00HCrDYrcz7ZIrmX7JlTiSk3u9uCnbtpkVzz0ZnSN/OHtcPHf/4Z+RzBWF19mBxW5H13VC/gDWmJjTrpDviaq/QBGEv/Rrlr5Gw+pFAJhi4rCkZGB2JJB79d2Y7P1nOHUGiiDcsT64ZSNBnxdncxPlO7dRuW8313z7R/1e7PcnFAzw3I+/S0dDPbf/5k8kZ+cQCgaoKzlIW0Md7fV1rHrxGS6490tHvWS6Uoo1Lz/LutdfwpGcgi3Wgd/rJWPUaNJHjsYW62DjO69hj4vnM7/96xHvu7GinIpd2ylauypaP6CzI/rxC0+HR5MBk9lCWsEoDAYjMQkJjDvzXArPOPOIOiB1pQfZuWwxQZ+XrMJxxKWkRUaZM49qNbmTna6H2PLe25Ru3YQ9Lh5HcnJkCrWNwjPOIjm7/9oZzpZmXn/oZ+HsKZMpmn0BcOsvfjdghtmR8Hs97Fu9AqPJjDXWQWxCInGpacTEJxx1Rq/P7Wb7h+9RsmUjoMIdX6ORzMiy1sdLKBjkjd//kvIdWxk5fRZJWdnY4+LpaGpk59IP+MI//nvUtaaUUrTWVtNUVYnRaCR/yvQjvvDvDGTuXrGM/CnTueJr3x30Ptxtrax8LrzKadely2MTk/j8Px7vN/PC2dzE2tdeYMeS98mdOJkZl11Nat4IEjOzMBiMOJubePr7X8d7WBAgZ/wkFnzuy72u3tQXpVQ4QHoS1BnpaGokGPCTlJk94H3ff+Sv7P5oSb+dY6/LyesP/Zya4iImnnshZ916V58BbqXrrH/jZYrWfhyuKxoM4He7SR81JryU+qgxWO0xjJw+a0iL6e9fv5q1r74Qve6y2GO463d/IzEza1CP93vctDXU01ZfFx6cUCqcaVswGqvDgTUmlo7GBsp3bqNs+xYqdu/odT9JWTlMOPt8Zl113aAW9BiIrodY+t9H2LHk/R63xaelRwPlN/7ol/1O51K6zt7VK3A2N9FSU427vZWY+ERi4uPRI4sLtDfUc+dDf+lWC1IpxcrnnmTLe2/ztSdfPKLgeEdTI5V7d1G6dRP71qyMZq50ls0YLKUU9WUlVOzajiM5hY1vv05bfS1n3foZfG437Y314cyZhnoq9+7CkZzCJV/6Rp912xoryila+zHrXnuRaRdfzoLP34+maRRvXMdbf/wNt/3y//qdojsQv8eNxT5w7dCuag8eYPGjfwsXYdc0bI44NE0Ll5/QNPInTwtnv3a0g6ZhjYkJZ4aZTBhNJjRNI+j3E5eaTlxKKjaHg6TMbAwmEzHxCdgig+anem2g4+2ECBRFGnIF8FfACDyhlHqwv/tLoEh0Ukqxb/UKNr3zBnooiLu9DaPJTFxqGpd95ZsDFsk7ESmleOb7Xyfg9fCZ3/4NS4wdZ3MzB9avoa60mH2rVzDzimuPaslKpRQVu3fS1lALQM3+fdSXlWK2WSmcO5+J51w4qFpJStdprCin4VAZcckp4Qyfjg48He1kjC4cVBaBGH4DBYo6uavL0P0+YvPH9KhX1J+ugaLeDMUyvq21NTz/k+8S8HpJG1FAQ3lpt2L/Kbn53Pngn4+o1ktvyrZvYfuHi9A0DU3TqNy3Ozp6rGkGrvnej/vMDhispsoKjCZT9OK/c4qZ2WZjxJQZp/XI1onK53ax9tXn0UM6aSPDHXNbrIMxc86Ui9YjoOsh1r/xMruWf4inoyO8+pdSjJg6g5t+/Ovhbt6QaKuvpbGiHFdLC5ljxg56SuXO5YtZ+dxT0YCQ2Wojc3RhdMrFVd/6AUG/H2tMDElZ2d1quZzugoEAi/71Z/av/ZhRM+dgscfgc7uIS0klOTsPo8nE7hVLqC8r5fKvfSe6mMGJqnLfbnZ8uIiJ5144JEWc+1JfVkLVvt1Y7DGYLBbiU9NJyMjEHhc/5Oc1pRTV+/fhbm8lLjkVd1sr9WUlNJSVYLJYGDf/3E+9CEtbfR3/++E3QMG4M8/B1dZCddFefG4XeihE3qSp3PKzI8867tRaW8PGt18jNimJOdfceEQBp8O1N9Tz4s9/EM02tsfFh+vAWq1MvuASZlx65aACNZ2ZShZ7DDZHHO0NdRiMRr721MsDTg08FpRSlO/cRtW+PXjaW9FDIZKyc8OZUQWjj3t7xMBOmEDRkZJAkTjVVe3bw8u/egCL3U7Q54t2fE1WK6m5+Vz/w18M29LP4tQx2EDR0RooUDRU2uprWf/Gy7TUVJMxajQ54yaRlJWNLS6e2MSkY9ZhDwYCeDraMBiMvS5hLIQ4Oq21NbTUVJE7acqwdGpONAG/j+bKChoOlVFXcoC6kmI0g5H5aMHhoAAACUBJREFUN9/BiCnTh7t5JzSl66x97QV2Lv0Ao8WCNSaW1toa/B43ADZHHJd8+RsUzjlzmFsqjqXWulre++cfaamuii42YHPE4fe4GX/WeYNa3fR4Cfi84XqiyalHPcildJ1tixfSVFmBp6Od+tKDjJl7Zq/TFYXojQSKhDiBlW7dxP71q7HGxOBITqVgxuxBFUcWYrBOlUCREEIIMVi6HsLv9hAM+LHHxZ3S9QmFEOJo9BUoktx2IU4ABTNmH3XtFiGEEEII0ZPBYBzUNHshhBDdSZVZIYQQQgghhBBCCAFIoEgIIYQQQgghhBBCRJzwNYo0TWsAyoe7HUMgFWgc7kYIMQzk2BenMzn+xelKjn1xupJjX5yu5Ng/OY1QSvVYxvqEDxSdKjRN29RbkSghTnVy7IvTmRz/4nQlx744XcmxL05XcuyfWmTqmRBCCCGEEEIIIYQAJFAkhBBCCCGEEEIIISIkUHT8PDbcDRBimMixL05ncvyL05Uc++J0Jce+OF3JsX8KkRpFQgghhBBCCCGEEAKQjCIhhBBCCCGEEEIIESGBouNA07TLNE0r0jStWNO0Hw53e4Q4Upqm5WmatlzTtL2apu3WNO2bke3JmqZ9qGnagcj/SV0e86PIMV+kadqlXbbP0jRtZ+S2v2uapkW2WzVNeymyfb2maSOP+wsVog+aphk1Tduqadq7kd/l2BenPE3TEjVNe1XTtH2R8/+ZcuyL04Gmad+OXO/s0jTtBU3TbHLsi1OVpmlPaJpWr2nari7bjsvxrmnaPZHnOKBp2j3H6SWLQZBA0TGmaZoR+BdwOTARuF3TtInD2yohjlgQ+K5SagIwD/hq5Dj+IbBUKVUILI38TuS224BJwGXAw5HPAsAjwH1AYeTfZZHtnwdalFJjgL8Avz8eL0yIQfomsLfL73Lsi9PB34D3lVLjgWmEPwNy7ItTmqZpOcA3gNlKqcmAkfCxLce+OFU9xSfHZqdjfrxrmpYM/Bw4A5gL/LxrQEoMLwkUHXtzgWKlVIlSyg+8CFw7zG0S4ogopWqUUlsiP3cQ7izkED6Wn47c7WngusjP1wIvKqV8SqlSoBiYq2laFhCvlFqrwgXSnjnsMZ37ehVY0DkSIcRw0jQtF7gSeLzLZjn2xSlN07R44FzgvwBKKb9SqhU59sXpwQTYNU0zATFANXLsi1OUUmol0HzY5uNxvF8KfKiUalZKtQAf0jNgJYaJBIqOvRygosvvlZFtQpyUIumiM4D1QIZSqgbCwSQgPXK3vo77nMjPh2/v9hilVBBoA1KOyYsQ4sj8Ffg+oHfZJse+ONWNAhqAJ7XwtMvHNU2LRY59cYpTSlUBfwQOATVAm1JqMXLsi9PL8TjepZ98ApNA0bHX2+iALDUnTkqapjmA14BvKaXa+7trL9tUP9v7e4wQw0bTtKuAeqXU5sE+pJdtcuyLk5EJmAk8opSaAbiITD3ogxz74pQQmfpyLVAAZAOxmqZ9pr+H9LJNjn1xqhrK410+BycwCRQde5VAXpffcwmnrwpxUtE0zUw4SPScUur1yOa6SKopkf/rI9v7Ou4rIz8fvr3bYyKp3gn0TIMV4ng7C7hG07QywlOHL9Q07Vnk2BenvkqgUim1PvL7q4QDR3Lsi1PdRUCpUqpBKRUAXgfmI8e+OL0cj+Nd+sknMAkUHXsbgUJN0wo0TbMQLv719jC3SYgjEplH/F9gr1Lqz11uehvoXKHgHuCtLttvi6xyUEC4oN2GSOpqh6Zp8yL7vPuwx3Tu6yZgWWSOsxDDRin1I6VUrlJqJOHz9zKl1GeQY1+c4pRStUCFpmnjIpsWAHuQY1+c+g4B8zRNi4kcswsI12aUY1+cTo7H8f4BcImmaUmRTL5LItvECcA03A041SmlgpqmfY3wQW8EnlBK7R7mZglxpM4C7gJ2apq2LbLtAeB3wMuapn2e8IXVzQBKqd2apr1MuFMRBL6qlApFHvcVwqsr2IFFkX8QDkT9T9O0YsKjDLcd49ckxKchx744HXwdeC4y0FUCfJbwIKMc++KUpZRar2naq8AWwsfyVuAxwIEc++IUpGnaC8D5QKqmaZWEVyI75tc5SqlmTdN+TTixAuBXSinJrDtBaBK8FkIIIYQQQgghhBAgU8+EEEIIIYQQQgghRIQEioQQQgghhBBCCCEEIIEiIYQQQgghhBBCCBEhgSIhhBBCCCGEEEIIAUigSAghhBBCCCGEEEJESKBICCGEEEIIIYQQQgASKBJCCCHEaUTTtERN0+7v8nu2pmmvHoPn+YWmaVWapv1qCPb1bU3TDmma9s+haJsQQgghRH80pdRwt0EIIYQQ4rjQNG0k8K5SavIxfp5fAE6l1B+HaH/3ArOVUl8biv0JIYQQQvTFNNwNEEIIIYQ4jn4HjNY0bRvwIfAvIoGjSDDmOsAITAb+BFiAuwAfcIVSqlnTtNGRx6UBbuCLSql9/T1pJHBUAGQBY4HvAPOAy4Eq4GqlVEDTtN8B1wBBYLFS6ntD9sqFEEIIIQZBAkVCCCGEOJ38EJislJoO0QyjriYDMwAbUAz8QCk1Q9O0vwB3A38FHgO+rJQ6oGnaGcDDwIWDeO7RwAXARGAtcKNS6vuapr0BXKlp2krgemC8Ukppmpb4aV6oEEIIIcTRkECREEII8f/bu3vUqKIwDMDvJ4KNwS24Ak0hFrYuwEoQbATBKoUpbW11Ce7A0vjTiYUL0Jg6KxA0k0JR5rOYG2YayTg52OR5qnsunJdTXj5e7oGl9909SzKrqu9JXk3v95Ncq6rLSW4leVlVJ3surZn9dmoN7WfRWnq3kn01yV6SH0leVNXraQ0A8F8ZFAEALP1ceZ6vrOdZfDddSPLtpJG0SXZ3z6vqVy9/FDlPcrG7f1fVzSS3k9xLspP1mkoAAMO49QwAOE9mSbY23dzdR0kOq+puktTC9REHm9pKV7r7TZLHSbZH5AIA/AuDIgDg3Ojur0k+VtWXqnq2Ycz9JA+r6lOSgyR3Bh1vK8leVX1O8iHJ7qBcAIC11bL1DADACNMtZ8fd/XxQ3oMkN7p7Z0QeAMDfaBQBAIx3nORRVT09a1BV7SZ5kuTozKcCADiFRhEAAAAASTSKAAAAAJgYFAEAAACQxKAIAAAAgIlBEQAAAABJDIoAAAAAmPwBvKhGLZpjVEIAAAAASUVORK5CYII=\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -288,101 +242,25 @@ } ], "source": [ - "from matplotlib.patches import Rectangle\n", + "\n", "ax = plot_vertical_eog()\n", + "sentences_example = sentences.loc[snt_oi].values\n", "for i in range(len(eye)):\n", " y = ax[i].get_ylim()\n", - " r = Rectangle((nn[i] * fs, y[0]), m * fs, y[1]-y[0], alpha=0.3)\n", - " ax[i].add_patch(r)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The found pattern corresponds to the Japanese character ア which occurs in all of the sentences that we picked for this example:" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
1
0
6ソレ デ エー コンカイ ノ オー モクテキ ワ ア
7モシクワ ホカ ノ ヒト ニ コーリ ガ アル ト スレ バ
9アノー ベツ ノ
10ン アノ タベ レル ノ デ
16ノ アノー ヒト ダケ ナラ イザ シラ ズ セカイ ニ モ
24ヒジョー ニ アンイ ニ スマ セル ツモリ デ デス ネ
\n", - "
" - ], - "text/plain": [ - " 1\n", - "0 \n", - "6 ソレ デ エー コンカイ ノ オー モクテキ ワ ア\n", - "7 モシクワ ホカ ノ ヒト ニ コーリ ガ アル ト スレ バ\n", - "9 アノー ベツ ノ\n", - "10 ン アノ タベ レル ノ デ\n", - "16 ノ アノー ヒト ダケ ナラ イザ シラ ズ セカイ ニ モ\n", - "24 ヒジョー ニ アンイ ニ スマ セル ツモリ デ デス ネ" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sentences.loc[snt_oi]" + " r = Rectangle((nn[i] / fs, y[0]), 1, y[1]-y[0], alpha=0.3)\n", + " ax[i].add_patch(r)\n", + " this_sentence = sentences_example[i]\n", + " ax[i].text(-2.1,\n", + " 1900, \n", + " this_sentence[0].replace('ア', '$\\\\bf{ア}$'),\n", + " fontname = 'Noto Sans CJK JP',\n", + " ha='left',\n", + " va='top',\n", + " fontsize=13, \n", + " bbox={'color': 'whitesmoke', 'alpha': 0.8, 'pad': 0},\n", + " zorder=2)\n", + "plt.suptitle('Vertical eye position while spelling different sentences with a matching character', fontsize=14)\n", + "plt.show()" ] }, { @@ -408,12 +286,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "context = ssl.SSLContext() # Ignore SSL certificate verification for simplicity\n", - "T_url = 'https://sites.google.com/site/consensusmotifs/dna.zip?attredirects=0&d=1'\n", + "T_url = 'https://zenodo.org/record/4281199/files/dna.zip?download=1'\n", "T_raw_bytes = urllib.request.urlopen(T_url, context=context).read()\n", "T_data = io.BytesIO(T_raw_bytes)\n", "T_zipfile = zipfile.ZipFile(T_data)\n", @@ -431,25 +309,15 @@ "metadata": {}, "source": [ "### Clustering using the majority of mtDNA sequences\n", - "\n", - "We can naively cluster the mtDNAs by using the majority of the sequences." + "Using `scipy.cluster.hierarchy` we can naively cluster the mtDNAs based on the majority of the sequences. \n", + "A correct clustering would place the two _artiodactyla_ hippo and alpaca closest. Together with the red flying fox they should form a cluster of mammals. Finally, the python, a reptile, should be furthest away from all of the mammals." ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": {}, "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'clustering')" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, { "data": { "image/png": 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\n", @@ -482,7 +350,8 @@ "Z = linkage(dp, optimal_ordering=True)\n", "dendrogram(Z, labels=[k for k in data.keys()], ax=ax[1])\n", "ax[1].set_ylabel('standardised euclidean distance')\n", - "ax[1].set_title('clustering')" + "ax[1].set_title('clustering')\n", + "plt.show()" ] }, { @@ -492,26 +361,26 @@ "The clustering is clearly wrong. Amongst other problems, the alpaca (a mammal) is not most closely related to the python (a reptile).\n", "\n", "### Consensus motif search\n", - "In order to obtain the correct relationships, we need to look at the motif that is most conserved across the mtDNA sequences. Let's take a window of 1000 base pairs." + "In order to obtain the correct relationships, we need to compare the motif that is most conserved across the mtDNA sequences. Let's take a window of 1000 base pairs." ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Found best radius 2.7312888818610532 in time series 1 starting at 602.\n" + "Found best radius 2.73 in time series 1 starting at index location 602.\n" ] } ], "source": [ "m = 1000\n", "rad, tsidx, ssidx = stumpy.ostinato(list(data.values()), m)\n", - "print(f'Found best radius {rad} in time series {tsidx} starting at {ssidx}.')" + "print(f'Found best radius {np.round(rad, 2)} in time series {tsidx} starting at index location {ssidx}.')" ] }, { @@ -523,19 +392,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'standardised euclidean distance')" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, { "data": { "image/png": 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\n", @@ -575,7 +434,8 @@ "ax[0].set_title('consensus motifs')\n", "ax[0].set_xlabel('number of base pairs')\n", "ax[1].set_title('clustering on the consensus motifs')\n", - "ax[1].set_ylabel('standardised euclidean distance')" + "ax[1].set_ylabel('standardised euclidean distance')\n", + "plt.show()" ] }, { From fb30fdfd6e9fae6c50551fec867899684438f6af Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Wed, 25 Nov 2020 09:14:41 +0100 Subject: [PATCH 20/25] Retrieve clean CSVs from Zenodo, remove unnecessary imports --- docs/Tutorial_Consensus_Motif.ipynb | 33 ++++++----------------------- 1 file changed, 7 insertions(+), 26 deletions(-) diff --git a/docs/Tutorial_Consensus_Motif.ipynb b/docs/Tutorial_Consensus_Motif.ipynb index 56765a088..74518c808 100644 --- a/docs/Tutorial_Consensus_Motif.ipynb +++ b/docs/Tutorial_Consensus_Motif.ipynb @@ -25,19 +25,13 @@ "source": [ "%matplotlib inline\n", "\n", - "import io\n", - "import requests\n", - "import ssl\n", "import stumpy\n", - "import urllib\n", - "import zipfile\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "from itertools import cycle, combinations\n", "from matplotlib.patches import Rectangle\n", "from scipy.cluster.hierarchy import linkage, dendrogram\n", - "from scipy.io import loadmat\n", "from scipy.special import comb" ] }, @@ -81,21 +75,15 @@ "metadata": {}, "outputs": [], "source": [ - "context = ssl.SSLContext() # Ignore SSL certificate verification for simplicity\n", - "T_url = 'https://zenodo.org/record/4281189/files/S2_Database.zip?download=1 '\n", - "T_raw_bytes = urllib.request.urlopen(T_url, context=context).read()\n", - "T_data = io.BytesIO(T_raw_bytes)\n", - "T_zipfile = zipfile.ZipFile(T_data)\n", "snt_oi = [6, 7, 9, 10, 16, 24]\n", "eye = [None] * len(snt_oi)\n", "fs = 50 # eog signal was downsampled to 50 Hz\n", + " \n", "for i, s in enumerate(snt_oi):\n", - " with T_zipfile.open(f'continuous1/001/test/EOG_001_01_{s:03d}.csv') as csv:\n", - " eye[i] = np.genfromtxt(csv, delimiter=',')[:,0]\n", + " eye[i] = pd.read_csv(f'https://zenodo.org/record/4288978/files/EOG_001_01_{s:03d}.csv?download=1').iloc[:, 0].values\n", " \n", - "# the literal sentences \n", - "with T_zipfile.open(f'continuous1/common/test_sent.jp.txt') as csv:\n", - " sentences = pd.read_csv(csv, delimiter='\\t', header=None, index_col=0)" + "# the literal sentences\n", + "sentences = pd.read_csv(f'https://zenodo.org/record/4288978/files/test_sent.jp.csv?download=1', index_col=0)" ] }, { @@ -242,7 +230,6 @@ } ], "source": [ - "\n", "ax = plot_vertical_eog()\n", "sentences_example = sentences.loc[snt_oi].values\n", "for i in range(len(eye)):\n", @@ -290,17 +277,11 @@ "metadata": {}, "outputs": [], "source": [ - "context = ssl.SSLContext() # Ignore SSL certificate verification for simplicity\n", - "T_url = 'https://zenodo.org/record/4281199/files/dna.zip?download=1'\n", - "T_raw_bytes = urllib.request.urlopen(T_url, context=context).read()\n", - "T_data = io.BytesIO(T_raw_bytes)\n", - "T_zipfile = zipfile.ZipFile(T_data)\n", "animals = ['python', 'hippo', 'red_flying_fox', 'alpaca']\n", "data = {}\n", - "for a in animals:\n", - " with T_zipfile.open(f'dna/data/{a}.mat') as f:\n", - " data[a] = loadmat(f)['ts'].flatten().astype(float)\n", - "\n", + "for animal in animals:\n", + " data[animal] = pd.read_csv(f\"https://zenodo.org/record/4289120/files/{animal}.csv?download=1\").iloc[:,0].values\n", + " \n", "colors = {'python': 'tab:blue', 'hippo': 'tab:green', 'red_flying_fox': 'tab:purple', 'alpaca': 'tab:red'}" ] }, From 4bfec226893ac1c669ebef0329ba3341ebcb1e38 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Thu, 26 Nov 2020 10:03:52 +0100 Subject: [PATCH 21/25] Edge case: same radius, same mean distance: default to first --- stumpy/ostinato.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/stumpy/ostinato.py b/stumpy/ostinato.py index d58c234a7..5a5854ec8 100644 --- a/stumpy/ostinato.py +++ b/stumpy/ostinato.py @@ -217,12 +217,26 @@ def _get_central_motif(tss, rad, ts_ind, ss_ind, m): np.isclose(rad_alt, rad), d_mean_alt < d_ost.mean(), ) + # Alternatives with same radius and same mean distance + alt_same = np.logical_and( + np.isclose(rad_alt, rad), + np.isclose(d_mean_alt, d_ost.mean()), + ) if np.any(alt_better): ts_ind_alt = ts_ind_alt[alt_better] ss_ind_alt = ss_ind_alt[alt_better] d_mean_alt = d_mean_alt[alt_better] i_alt_best = np.argmin(d_mean_alt) return rad, ts_ind_alt[i_alt_best], ss_ind_alt[i_alt_best] + elif np.any(alt_same): + # Default to the first match in the list of time series + ts_ind_alt = ts_ind_alt[alt_same] + ss_ind_alt = ss_ind_alt[alt_same] + i_alt_first = np.argmin(ts_ind_alt) + if ts_ind_alt[i_alt_first] < ts_ind: + return rad, ts_ind_alt[i_alt_first], ss_ind_alt[i_alt_first] + else: + return rad, ts_ind, ss_ind else: return rad, ts_ind, ss_ind From cff76f254404e456a06840503132100ffe3d8ccf Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Thu, 26 Nov 2020 10:17:25 +0100 Subject: [PATCH 22/25] docstring formatting --- stumpy/ostinato.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/stumpy/ostinato.py b/stumpy/ostinato.py index 5a5854ec8..96d065907 100644 --- a/stumpy/ostinato.py +++ b/stumpy/ostinato.py @@ -47,7 +47,7 @@ def ostinato(tss, m): subsequences with the best radius is the one with the smallest mean distance to nearest neighbors in all other time series. To find this central motif it is necessary to search the subsequences with the - best radius via stumpy.ostinato._get_central_motif + best radius via `stumpy.ostinato._get_central_motif` """ rad, ts_ind, ss_ind = _ostinato(tss, m) return _get_central_motif(tss, rad, ts_ind, ss_ind, m) @@ -94,7 +94,7 @@ def _ostinato(tss, m): subsequences with the best radius is the one with the smallest mean distance to nearest neighbors in all other time series. To find this central motif it is necessary to search the subsequences with the - best radius via stumpy.ostinato._get_central_motif + best radius via `stumpy.ostinato._get_central_motif` """ # Preprocess means and stddevs and handle np.nan/np.inf Ts = [None] * len(tss) @@ -194,7 +194,7 @@ def _get_central_motif(tss, rad, ts_ind, ss_ind, m): subsequences with the best radius is the one with the smallest mean distance to nearest neighbors in all other time series. To find this central motif it is necessary to search the subsequences with the - best radius via stumpy.ostinato._get_central_motif + best radius via `stumpy.ostinato._get_central_motif` """ k = len(tss) From eca2af731b7ef7f37ea2e9b4ff642261c4829a72 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Mon, 30 Nov 2020 19:10:09 +0100 Subject: [PATCH 23/25] naive implementation of get_central_motif --- tests/test_ostinato.py | 143 +++++++++++++++++++++++++++++++++++++++-- 1 file changed, 139 insertions(+), 4 deletions(-) diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index d0ea0ab00..4e0d6496b 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -1,6 +1,7 @@ import numpy as np import numpy.testing as npt import stumpy +import naive from stumpy.ostinato import _get_central_motif import pytest @@ -25,16 +26,150 @@ def naive_consensus_search(tss, m): radii = np.zeros(len(tss[j]) - m + 1) for i in range(k): if i != j: - mp = stumpy.stump(tss[j], m, tss[i], ignore_trivial=False) - radii = np.max((radii, mp[:, 0]), axis=0) - min_rad_index = np.argmin(radii) + mp = naive.stump(tss[j], m, tss[i]) + radii = np.sort((radii, mp[:, 0]), axis=0)[-1, :] + min_rad_index = naive_argmin(radii) min_rad = radii[min_rad_index] if min_rad < rad: rad = min_rad ts_ind = j ss_ind = min_rad_index - return _get_central_motif(tss, rad, ts_ind, ss_ind, m) + return naive_get_central_motif(tss, rad, ts_ind, ss_ind, m) + + +def naive_get_central_motif(tss, rad, ts_ind, ss_ind, m): + """ + Compare subsequences with the same radius and return the most central motif + + Parameters + ---------- + tss : list + List of time series for which to find the most central motif + + rad : float + Best radius found by a consensus search algorithm + + ts_ind : int + Index of time series in which `rad` was found first + + ss_ind : int + Start index of subsequence in `ts_ind` that has radius `rad` + + m : int + Window size + + Returns + ------- + rad : float + Radius of the most central consensus motif + + ts_ind : int + Index of time series which contains the most central consensus motif + + ss_ind : int + Start index of most central consensus motif within the time series `ts_ind` + that contains it + + Notes + ----- + + + See Table 2 + + The ostinato algorithm proposed in the paper finds the best radius + in `tss`. Intuitively, the radius is the minimum distance of a + subsequence to encompass at least one nearest neighbor subsequence + from all other time series. The best radius in `tss` is the minimum + radius amongst all radii. Some data sets might contain multiple + subsequences which have the same optimal radius. + The greedy Ostinato algorithm only finds one of them, which might + not be the most central motif. The most central motif amongst the + subsequences with the best radius is the one with the smallest mean + distance to nearest neighbors in all other time series. To find this + central motif it is necessary to search the subsequences with the + best radius via `stumpy.ostinato._get_central_motif` + """ + k = len(tss) + + # Ostinato hit: get nearest neighbors' distances and indices + q_ost = tss[ts_ind][ss_ind : ss_ind + m] + ss_ind_nn_ost, d_ost = naive_across_series_nearest_neighbors(q_ost, tss) + + # Alternative candidates: Distance to ostinato hit equals best radius + ts_ind_alt = np.flatnonzero(naive_isclose(d_ost, rad)) + ss_ind_alt = ss_ind_nn_ost[ts_ind_alt] + d_alt = np.zeros((len(ts_ind_alt), k), dtype=float) + for i, (tsi, ssi) in enumerate(zip(ts_ind_alt, ss_ind_alt)): + q = tss[tsi][ssi : ssi + m] + _, d_alt[i] = naive_across_series_nearest_neighbors(q, tss) + rad_alt = np.sort(d_alt, axis=1)[:, -1] + d_mean_alt = np.mean(d_alt, axis=1) + + # Alternatives with same radius and lower mean distance + alt_better = ( + int(naive_isclose(rad_alt, rad)) + int(d_mean_alt < d_ost.mean()) + ) == 2 + # Alternatives with same radius and same mean distance + alt_same = ( + int(naive_isclose(rad_alt, rad)) + int(naive_isclose(d_mean_alt, d_ost.mean())) + ) == 2 + if np.any(alt_better): + ts_ind_alt = ts_ind_alt[alt_better] + ss_ind_alt = ss_ind_alt[alt_better] + d_mean_alt = d_mean_alt[alt_better] + i_alt_best = naive_argmin(d_mean_alt) + return rad, ts_ind_alt[i_alt_best], ss_ind_alt[i_alt_best] + elif np.any(alt_same): + # Default to the first match in the list of time series + ts_ind_alt = ts_ind_alt[alt_same] + ss_ind_alt = ss_ind_alt[alt_same] + i_alt_first = naive_argmin(ts_ind_alt) + if ts_ind_alt[i_alt_first] < ts_ind: + return rad, ts_ind_alt[i_alt_first], ss_ind_alt[i_alt_first] + else: + return rad, ts_ind, ss_ind + else: + return rad, ts_ind, ss_ind + + +def naive_across_series_nearest_neighbors(q, tss): + """ + For multiple time series find, per individual time series, the subsequences closest + to a query. + + Parameters + ---------- + q : ndarray + Query array or subsequence + + tss : list + List of time series for which to the nearest neighbors to `q` + + Returns + ------- + ss_ind_nn : ndarray + Indices to subsequences in `tss` that are closest to `q` + + d : ndarray + Distances to subsequences in `tss` that are closest to `q` + """ + k = len(tss) + d = np.zeros(k, dtype=float) + ss_ind_nn = np.zeros(k, dtype=int) + for i in range(k): + dp = naive.distance_profile(q, tss[i], len(q)) + ss_ind_nn[i] = naive_argmin(dp) + d[i] = dp[ss_ind_nn[i]] + return ss_ind_nn, d + + +def naive_argmin(a): + return np.flatnonzero(a == np.sort(a)[0])[0] + + +def naive_isclose(a, b, rtol=1e-05, atol=1e-08): + return np.abs(a - b) <= (atol + rtol * np.abs(b)) @pytest.mark.parametrize( From 4a8603e41c6aba21323a948821d0de0a08ea1ae2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Mon, 30 Nov 2020 19:25:42 +0100 Subject: [PATCH 24/25] remove nested conditional --- stumpy/ostinato.py | 13 ++++--------- tests/test_ostinato.py | 4 ++-- 2 files changed, 6 insertions(+), 11 deletions(-) diff --git a/stumpy/ostinato.py b/stumpy/ostinato.py index 96d065907..a369b18c3 100644 --- a/stumpy/ostinato.py +++ b/stumpy/ostinato.py @@ -224,21 +224,16 @@ def _get_central_motif(tss, rad, ts_ind, ss_ind, m): ) if np.any(alt_better): ts_ind_alt = ts_ind_alt[alt_better] - ss_ind_alt = ss_ind_alt[alt_better] d_mean_alt = d_mean_alt[alt_better] i_alt_best = np.argmin(d_mean_alt) - return rad, ts_ind_alt[i_alt_best], ss_ind_alt[i_alt_best] + ts_ind = ts_ind_alt[i_alt_best] elif np.any(alt_same): # Default to the first match in the list of time series ts_ind_alt = ts_ind_alt[alt_same] - ss_ind_alt = ss_ind_alt[alt_same] i_alt_first = np.argmin(ts_ind_alt) - if ts_ind_alt[i_alt_first] < ts_ind: - return rad, ts_ind_alt[i_alt_first], ss_ind_alt[i_alt_first] - else: - return rad, ts_ind, ss_ind - else: - return rad, ts_ind, ss_ind + ts_ind = np.min((ts_ind, ts_ind_alt[i_alt_first])) + ss_ind = ss_ind_nn_ost[ts_ind] + return rad, ts_ind, ss_ind def _across_series_nearest_neighbors(q, tss): diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index 4e0d6496b..5a900a72d 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -108,11 +108,11 @@ def naive_get_central_motif(tss, rad, ts_ind, ss_ind, m): # Alternatives with same radius and lower mean distance alt_better = ( - int(naive_isclose(rad_alt, rad)) + int(d_mean_alt < d_ost.mean()) + naive_isclose(rad_alt, rad).astype(int) + (d_mean_alt < d_ost.mean()).astype(int) ) == 2 # Alternatives with same radius and same mean distance alt_same = ( - int(naive_isclose(rad_alt, rad)) + int(naive_isclose(d_mean_alt, d_ost.mean())) + naive_isclose(rad_alt, rad).astype(int) + naive_isclose(d_mean_alt, d_ost.mean()).astype(int) ) == 2 if np.any(alt_better): ts_ind_alt = ts_ind_alt[alt_better] From 31dbae7c40f433e2c66e22a9ae536f7b951618a6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20H=C3=A4hnke?= Date: Mon, 30 Nov 2020 19:41:08 +0100 Subject: [PATCH 25/25] oops, forgot black --- tests/test_ostinato.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py index 5a900a72d..b9e6658d0 100644 --- a/tests/test_ostinato.py +++ b/tests/test_ostinato.py @@ -108,11 +108,13 @@ def naive_get_central_motif(tss, rad, ts_ind, ss_ind, m): # Alternatives with same radius and lower mean distance alt_better = ( - naive_isclose(rad_alt, rad).astype(int) + (d_mean_alt < d_ost.mean()).astype(int) + naive_isclose(rad_alt, rad).astype(int) + + (d_mean_alt < d_ost.mean()).astype(int) ) == 2 # Alternatives with same radius and same mean distance alt_same = ( - naive_isclose(rad_alt, rad).astype(int) + naive_isclose(d_mean_alt, d_ost.mean()).astype(int) + naive_isclose(rad_alt, rad).astype(int) + + naive_isclose(d_mean_alt, d_ost.mean()).astype(int) ) == 2 if np.any(alt_better): ts_ind_alt = ts_ind_alt[alt_better]