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@svaksha
Forked from alimanfoo/.gitignore
Created July 18, 2014 15:36
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{
"metadata": {
"name": "",
"signature": "sha256:bdf7b75624e67e61f98c39af76f408647425c6ed69cc75352f4b97967d2bf42c"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h1>Benchmarking HDF5 and BLZ for genotype data storage and access</h1>\n",
"<hr style='height: 4px'/>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This notebook investigates the performance of HDF5 and BLZ disk-based formats for writing and reading 2-dimensional arrays of data.\n",
"\n",
"The motivation is using HDF5 or BLZ to store arrays of genotype data, where the first dimension corresponds to genome positions where individuals differ genetically from each other (SNPs) and the second dimension corresponds to a cohort of individuals (a.k.a., samples). Each cell within the array stores the genotype of the individual at a SNP, coded as a 1 byte integer.\n",
"\n",
"We currently have >10 million variants across >1000 samples. Hence the arrays are long and thin. This notebook benchmarks a smaller but similar shaped dataset of 1000000 variants by 100 samples.\n",
"\n",
"Most genetic variants are also rare, hence the arrays are sparse along both dimensions, with most values being zeros.\n",
"\n",
"For different data analysis tasks there are different access patterns for these data. Hence the desire to test performance under different access patterns."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from __future__ import division, print_function\n",
"import numpy as np\n",
"import h5py\n",
"import blz\n",
"import sh\n",
"import os\n",
"import sys\n",
"import itertools\n",
"from datetime import datetime\n",
"import gc\n",
"import petl.interactive as etl\n",
"import petlx.all\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import random\n",
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def log(*msg):\n",
" print(str(datetime.now()) + ' :: ' + ' '.join(map(str, msg)), file=sys.stderr)\n",
" sys.stderr.flush()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def random_indices(n, k):\n",
" return sorted(random.sample(range(n), k))\n",
"\n",
"def random_selection(n, k):\n",
" selection = np.zeros((n,), np.bool)\n",
" indices = random_indices(n, k)\n",
" selection[indices] = True\n",
" return selection"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Setup test data"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"n_variants = 1000000\n",
"n_samples = 100"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# let's use some real genotype data from the Anopheles gambiae 1000 genomes project\n",
"callset = h5py.File('../../data/phase1/release/AR2/ag1000g.phase1.AR2.h5', mode='r')\n",
"callset"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
"text": [
"<HDF5 file \"ag1000g.phase1.AR2.h5\" (mode r)>"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"test_region_start = 10000000\n",
"test_region_stop = test_region_start + n_variants\n",
"test_data = callset['3L']['calldata']['genotype'][test_region_start:test_region_stop, :n_samples, ...]\n",
"# recode as 2-d array for simplicity\n",
"test_data = np.sum(test_data, axis=2, dtype='i1')\n",
"test_data.shape, test_data.nbytes/1e6"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": [
"((1000000, 100), 100.0)"
]
}
],
"prompt_number": 6
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark HDF5 write"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# copy data into test H5 file\n",
"h5_configurations = (\n",
" dict(), # default\n",
" dict(chunks=(10000, 1), compression='lzf'),\n",
" dict(chunks=(50000, 1), compression='lzf'),\n",
" dict(chunks=(100000, 1), compression='lzf'),\n",
" dict(chunks=(500000, 1), compression='lzf'),\n",
" dict(chunks=(1000000, 1), compression='lzf'),\n",
" dict(chunks=(1000, 10), compression='lzf'),\n",
" dict(chunks=(5000, 10), compression='lzf'),\n",
" dict(chunks=(10000, 10), compression='lzf'),\n",
" dict(chunks=(50000, 10), compression='lzf'),\n",
" dict(chunks=(100000, 10), compression='lzf'),\n",
" dict(chunks=(100, 100), compression='lzf'),\n",
" dict(chunks=(500, 100), compression='lzf'),\n",
" dict(chunks=(1000, 100), compression='lzf'),\n",
" dict(chunks=(5000, 100), compression='lzf'),\n",
" dict(chunks=(10000, 100), compression='lzf'),\n",
" dict(chunks=(10000, 1), compression='gzip', compression_opts=1),\n",
" dict(chunks=(50000, 1), compression='gzip', compression_opts=1),\n",
" dict(chunks=(100000, 1), compression='gzip', compression_opts=1),\n",
" dict(chunks=(500000, 1), compression='gzip', compression_opts=1),\n",
" dict(chunks=(1000000, 1), compression='gzip', compression_opts=1),\n",
" dict(chunks=(10000, 1), compression='gzip', compression_opts=4),\n",
" dict(chunks=(50000, 1), compression='gzip', compression_opts=4),\n",
" dict(chunks=(100000, 1), compression='gzip', compression_opts=4),\n",
" dict(chunks=(500000, 1), compression='gzip', compression_opts=4),\n",
" dict(chunks=(1000000, 1), compression='gzip', compression_opts=4),\n",
" dict(chunks=(1000, 10), compression='gzip', compression_opts=1),\n",
" dict(chunks=(5000, 10), compression='gzip', compression_opts=1),\n",
" dict(chunks=(10000, 10), compression='gzip', compression_opts=1),\n",
" dict(chunks=(50000, 10), compression='gzip', compression_opts=1),\n",
" dict(chunks=(100000, 10), compression='gzip', compression_opts=1),\n",
" dict(chunks=(1000, 10), compression='gzip', compression_opts=4),\n",
" dict(chunks=(5000, 10), compression='gzip', compression_opts=4),\n",
" dict(chunks=(10000, 10), compression='gzip', compression_opts=4),\n",
" dict(chunks=(50000, 10), compression='gzip', compression_opts=4),\n",
" dict(chunks=(100000, 10), compression='gzip', compression_opts=4),\n",
" dict(chunks=(100, 100), compression='gzip', compression_opts=1),\n",
" dict(chunks=(500, 100), compression='gzip', compression_opts=1),\n",
" dict(chunks=(1000, 100), compression='gzip', compression_opts=1),\n",
" dict(chunks=(5000, 100), compression='gzip', compression_opts=1),\n",
" dict(chunks=(10000, 100), compression='gzip', compression_opts=1),\n",
" dict(chunks=(100, 100), compression='gzip', compression_opts=4),\n",
" dict(chunks=(500, 100), compression='gzip', compression_opts=4),\n",
" dict(chunks=(1000, 100), compression='gzip', compression_opts=4),\n",
" dict(chunks=(5000, 100), compression='gzip', compression_opts=4),\n",
" dict(chunks=(10000, 100), compression='gzip', compression_opts=4),\n",
")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_h5_write = [['compression', 'chunk_height', 'chunk_width', 'chunk_size', 'time', 'size_on_disk']]\n",
"for i, config in enumerate(h5_configurations):\n",
"# log(i, config)\n",
" k = str(i)\n",
" fn = '/tmp/%s.h5' % k\n",
" with h5py.File(fn, mode='w') as h5:\n",
" before = datetime.now()\n",
" if k in h5:\n",
" del h5[k]\n",
" ds = h5.create_dataset(k, data=test_data, **config)\n",
" after = datetime.now()\n",
" compression = config.get('compression', 'none')\n",
" if 'compression_opts' in config:\n",
" compression += str(config['compression_opts'])\n",
" chunk_height, chunk_width = config.get('chunks', (0, 0))\n",
" chunk_size = chunk_width*chunk_height\n",
" elapsed = (after-before).total_seconds()\n",
" size_on_disk = os.stat(fn).st_size/1e6\n",
" row = [compression, chunk_height, chunk_width, chunk_size, elapsed, size_on_disk]\n",
" tbl_h5_write += [row]\n",
"\n",
"tbl_h5_write = etl.wrap(tbl_h5_write)\n",
"df_h5_write = tbl_h5_write.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunk_size', y='time', hue='compression', col='chunk_width', data=df_h5_write, kind='point')\n",
"grid.set(ylim=(0, 4))\n",
"grid.fig.suptitle('HDF5 write dataset', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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gWH0VVZVp1jS1057JbVEMTS0ZmloyLFze2Kvj62sqk9XshRXvwxrWr27vvOJ9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\nJEmSJEmSJEmSJEmSJEmSpI77/7/2MzORwjx3AAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x7f4f974a2b90>"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunk_size', y='size_on_disk', hue='compression', col='chunk_width', data=df_h5_write, kind='point')\n",
"grid.set(ylim=(0, 25))\n",
"grid.fig.suptitle('HDF5 write dataset', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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S4znWSlJjTWecVWqqmekfqXicMBp49w1KkiRJkiRJkjRvhRC+FmN8/WzWmZ8s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\nzZ5ZBc9a2qV73nuuHntur3YeGFQqldZpve26at0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"text": [
"<matplotlib.figure.Figure at 0x7f4f971f9350>"
]
}
],
"prompt_number": 10
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark HDF5 read whole dataset"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The command ``drop_cache`` is just a small script that executes:\n",
"\n",
"```\n",
"#!/bin/bash\n",
"echo 1 > /proc/sys/vm/drop_caches\n",
"```\n",
"\n",
"This must be run as sudo, so to avoid passwords this script has been set in the sudoers file with NOPASSWD."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_h5_read_all = [['compression', 'chunk_height', 'chunk_width', 'chunk_size', 'time']]\n",
"for i, config in enumerate(h5_configurations):\n",
"# log(i, config)\n",
" k = str(i)\n",
" fn = '/tmp/%s.h5' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" with h5py.File(fn, mode='r') as h5:\n",
" before = datetime.now()\n",
" a = h5[k][...]\n",
" after = datetime.now()\n",
" compression = config.get('compression', 'none')\n",
" if 'compression_opts' in config:\n",
" compression += str(config['compression_opts'])\n",
" chunk_height, chunk_width = config.get('chunks', (0, 0))\n",
" chunk_size = chunk_width*chunk_height\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunk_height, chunk_width, chunk_size, elapsed]\n",
" tbl_h5_read_all += [row]\n",
"\n",
"tbl_h5_read_all = etl.wrap(tbl_h5_read_all)\n",
"df_h5_read_all = tbl_h5_read_all.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunk_size', y='time', hue='compression', col='chunk_width', data=df_h5_read_all, kind='point')\n",
"grid.set(ylim=(0, 4))\n",
"grid.fig.suptitle('HDF5 read entire dataset', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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YNiCdrE5qPpbDX32Orc9tIOntY8qhs5h7/hKm1Dsje0DnHT9nyc/uobhjR1az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\n",
"text": [
"<matplotlib.figure.Figure at 0x7f4f96e9de10>"
]
}
],
"prompt_number": 12
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark HDF5 read single column"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_h5_read_col = [['compression', 'chunk_height', 'chunk_width', 'chunk_size', 'time']]\n",
"for i, config in enumerate(h5_configurations):\n",
"# log(i, config)\n",
" k = str(i)\n",
" fn = '/tmp/%s.h5' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" with h5py.File(fn, mode='r') as h5:\n",
" before = datetime.now()\n",
" a = h5[k][..., 0]\n",
" after = datetime.now()\n",
" compression = config.get('compression', 'none')\n",
" if 'compression_opts' in config:\n",
" compression += str(config['compression_opts'])\n",
" chunk_height, chunk_width = config.get('chunks', (0, 0))\n",
" chunk_size = chunk_width*chunk_height\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunk_height, chunk_width, chunk_size, elapsed]\n",
" tbl_h5_read_col += [row]\n",
"\n",
"tbl_h5_read_col = etl.wrap(tbl_h5_read_col)\n",
"df_h5_read_col = tbl_h5_read_col.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunk_size', y='time', hue='compression', col='chunk_width', data=df_h5_read_col, kind='point')\n",
"grid.set(ylim=(0, .8))\n",
"grid.fig.suptitle('HDF5 read single column', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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Ovpx33DQyZdlpaU1z7T0vc+NfF3apy15eNIpPH3gJx+/8zo62htakLvvdS+6z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\nSdKJy7RCkrSscllG61HO7pWvwoWPTH6gHQH6p9aN5wOGW0KGWyJGmkP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"text": [
"<matplotlib.figure.Figure at 0x7f4f971586d0>"
]
}
],
"prompt_number": 14
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark HDF5 read contiguous rows"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_h5_read_rows = [['compression', 'chunk_height', 'chunk_width', 'chunk_size', 'time']]\n",
"for i, config in enumerate(h5_configurations):\n",
"# log(i, config)\n",
" k = str(i)\n",
" fn = '/tmp/%s.h5' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" with h5py.File(fn, mode='r') as h5:\n",
" before = datetime.now()\n",
" a = h5[k][500000:600000, ...]\n",
" after = datetime.now()\n",
" compression = config.get('compression', 'none')\n",
" if 'compression_opts' in config:\n",
" compression += str(config['compression_opts'])\n",
" chunk_height, chunk_width = config.get('chunks', (0, 0))\n",
" chunk_size = chunk_width*chunk_height\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunk_height, chunk_width, chunk_size, elapsed]\n",
" tbl_h5_read_rows += [row]\n",
"\n",
"tbl_h5_read_rows = etl.wrap(tbl_h5_read_rows)\n",
"df_h5_read_rows = tbl_h5_read_rows.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunk_size', y='time', hue='compression', col='chunk_width', data=df_h5_read_rows, kind='point')\n",
"grid.set(ylim=(0, .8))\n",
"grid.fig.suptitle('HDF5 read contiguous rows', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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9VlAx/tX6RHo2k+Wq/S8xkS5JkiRpl9SZyfRjgFkAMcYXgcJ3VQFYCXwzhDAb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\nsxfXHXAZ/br13ep8uaoqVt43jdUPz4J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SE17cSvuTT+TbgjNmMP+27xGaOXPS5ywiIiIi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\nSZIkSZIkVdr/AXw8pb9P+a/9AAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x7f4f96cb7e10>"
]
}
],
"prompt_number": 16
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark HDF5 read rows with step"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_h5_read_rows_step = [['compression', 'chunk_height', 'chunk_width', 'chunk_size', 'time']]\n",
"for i, config in enumerate(h5_configurations):\n",
"# log(i, config)\n",
" k = str(i)\n",
" fn = '/tmp/%s.h5' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" with h5py.File(fn, mode='r') as h5:\n",
" before = datetime.now()\n",
" a = h5[k][::100, ...]\n",
" after = datetime.now()\n",
" compression = config.get('compression', 'none')\n",
" if 'compression_opts' in config:\n",
" compression += str(config['compression_opts'])\n",
" chunk_height, chunk_width = config.get('chunks', (0, 0))\n",
" chunk_size = chunk_width*chunk_height\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunk_height, chunk_width, chunk_size, elapsed]\n",
" tbl_h5_read_rows_step += [row]\n",
"\n",
"tbl_h5_read_rows_step = etl.wrap(tbl_h5_read_rows_step)\n",
"df_h5_read_rows_step = tbl_h5_read_rows_step.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunk_size', y='time', hue='compression', col='chunk_width', data=df_h5_read_rows_step, kind='point')\n",
"grid.set(ylim=(0, 20))\n",
"grid.fig.suptitle('HDF5 read rows step', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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R0wDYM3EYjXWdyfZjTz1FLpe72CkkSa9DzYQJnJxSvLDp8yyYeAtlmeQt/6nW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"text": [
"<matplotlib.figure.Figure at 0x7f4f972217d0>"
]
}
],
"prompt_number": 18
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark HDF5 row sparse selection with boolean index"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_h5_select_rows_bool = [['compression', 'chunk_height', 'chunk_width', 'chunk_size', 'time']]\n",
"selection = random_selection(n_variants, n_variants//1000)\n",
"# log(np.count_nonzero(selection))\n",
"for i, config in enumerate(h5_configurations):\n",
"# log(i, config)\n",
" k = str(i)\n",
" fn = '/tmp/%s.h5' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" with h5py.File(fn, mode='r') as h5:\n",
" before = datetime.now()\n",
" a = h5[k][selection, ...]\n",
" after = datetime.now()\n",
" compression = config.get('compression', 'none')\n",
" if 'compression_opts' in config:\n",
" compression += str(config['compression_opts'])\n",
" chunk_height, chunk_width = config.get('chunks', (0, 0))\n",
" chunk_size = chunk_width*chunk_height\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunk_height, chunk_width, chunk_size, elapsed]\n",
" tbl_h5_select_rows_bool += [row]\n",
"\n",
"tbl_h5_select_rows_bool = etl.wrap(tbl_h5_select_rows_bool)\n",
"df_h5_select_rows_bool = tbl_h5_select_rows_bool.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunk_size', y='time', hue='compression', col='chunk_width', data=df_h5_select_rows_bool, kind='point')\n",
"grid.set(ylim=(0, 1.4))\n",
"grid.fig.suptitle('HDF5 select sparse rows (bool)', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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JbaauspL1TzzG+scfo27jxoLVO2HQEYzqOSJfLh89G8hSU5vlvqcXFKwdSZIk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\nAr4BDIwxXhJjPA2YCnw3xtjwpj4HrI4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qxGHncOtrhRBiKZRqBDvAxb+4pga4GXgNUA/0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\ngg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f4f96cf40d0>"
]
}
],
"prompt_number": 20
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark HDF5 row sparse selection with indices"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_h5_select_rows_idx = [['compression', 'chunk_height', 'chunk_width', 'chunk_size', 'time']]\n",
"indices = random_indices(n_variants, n_variants//1000)\n",
"# log(len(indices))\n",
"for i, config in enumerate(h5_configurations):\n",
"# log(i, config)\n",
" k = str(i)\n",
" fn = '/tmp/%s.h5' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" with h5py.File(fn, mode='r') as h5:\n",
" before = datetime.now()\n",
" a = h5[k][indices, ...]\n",
" after = datetime.now()\n",
" compression = config.get('compression', 'none')\n",
" if 'compression_opts' in config:\n",
" compression += str(config['compression_opts'])\n",
" chunk_height, chunk_width = config.get('chunks', (0, 0))\n",
" chunk_size = chunk_width*chunk_height\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunk_height, chunk_width, chunk_size, elapsed]\n",
" tbl_h5_select_rows_idx += [row]\n",
"\n",
"tbl_h5_select_rows_idx = etl.wrap(tbl_h5_select_rows_idx)\n",
"df_h5_select_rows_idx = tbl_h5_select_rows_idx.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 21
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunk_size', y='time', hue='compression', col='chunk_width', data=df_h5_select_rows_idx, kind='point')\n",
"grid.set(ylim=(0, 1.4))\n",
"grid.fig.suptitle('HDF5 select sparse rows (idx)', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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b0zMKEluSJEmSJGlbLLBLkgqu50EHM+Tqa+k2ejSp8goo2vJxs37aNOqaeABq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\nWOArIYQ+rZiLJEl0H70PvY4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ZOaQXv7lvJguXrQdSrJi3C+X9u9E9vMqm9EYAXlj6EkvW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9tsOQtm7XLM2f7M2uWZtb1ttqw1Z5dn1vZn1p6cOdvfZsvaTWFDFdhjjJ+h87WHOd1D4BwFpoEp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\nAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x7f4f9711e610>"
]
}
],
"prompt_number": 22
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark HDF5 point selection"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def take2d(dataset, row_indices, col_indices, block_size=1000):\n",
" \n",
" # determine number of items to select\n",
" m = len(row_indices)\n",
" n = len(col_indices)\n",
" z = m*n\n",
" \n",
" # initialise output array\n",
" out = np.empty((z,), dtype=dataset.dtype)\n",
" \n",
" # convert indices into coordinates\n",
" coords = itertools.product(row_indices, col_indices)\n",
" \n",
" # set up selection\n",
" sel = h5py._hl.selections.PointSelection(dataset.shape)\n",
" typ = h5py.h5t.py_create(dataset.dtype)\n",
" \n",
" # process blocks at a time\n",
" for block_start in xrange(0, z, block_size):\n",
" \n",
" # materialise a block of coordinates\n",
" selection = np.asarray(list(itertools.islice(coords, block_size)))\n",
"\n",
" # set selection\n",
" sel.set(selection)\n",
" \n",
" # read data\n",
" block_stop = block_start + len(selection)\n",
" space = h5py.h5s.create_simple(sel.mshape)\n",
" dataset.id.read(space,\n",
" sel._id,\n",
" out[block_start:block_stop],\n",
" typ)\n",
" \n",
" # reshape output array\n",
" out = out.reshape(m, n)\n",
"\n",
" return out"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_h5_select_points = [['compression', 'chunk_height', 'chunk_width', 'chunk_size', 'time']]\n",
"row_indices = random_indices(n_variants, n_variants//1000)\n",
"col_indices = random_indices(n_samples, n_samples//10)\n",
"# log(len(row_indices), len(col_indices))\n",
"for i, config in enumerate(h5_configurations):\n",
"# log(i, config)\n",
" k = str(i)\n",
" fn = '/tmp/%s.h5' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" with h5py.File(fn, mode='r') as h5:\n",
" before = datetime.now()\n",
" a = take2d(h5[k], row_indices, col_indices)\n",
" after = datetime.now()\n",
" compression = config.get('compression', 'none')\n",
" if 'compression_opts' in config:\n",
" compression += str(config['compression_opts'])\n",
" chunk_height, chunk_width = config.get('chunks', (0, 0))\n",
" chunk_size = chunk_width*chunk_height\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunk_height, chunk_width, chunk_size, elapsed]\n",
" tbl_h5_select_points += [row]\n",
"\n",
"tbl_h5_select_points = etl.wrap(tbl_h5_select_points)\n",
"df_h5_select_points = tbl_h5_select_points.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 24
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunk_size', y='time', hue='compression', col='chunk_width', data=df_h5_select_points, kind='point')\n",
"grid.set(ylim=(0, .6))\n",
"grid.fig.suptitle('HDF5 select sparse points', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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KDbv43j3zqayppuTEeRT23lrf9tah5/AXY97didFJUteTzWZ5dWtk+sqZLN72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"text": [
"<matplotlib.figure.Figure at 0x7f4f96df0950>"
]
}
],
"prompt_number": 25
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark BLZ write"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"blz_configurations = list()\n",
"clevels = [1, 5, 9]\n",
"chunklens = [1000, 2000, 5000, 10000, 20000]\n",
"shuffles = [True, False]\n",
"for clevel, chunklen, shuffle in itertools.product(clevels, chunklens, shuffles):\n",
" blz_configurations.append([\n",
" blz.bparams(clevel=clevel, shuffle=shuffle), dict(chunklen=chunklen)\n",
" ])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_blz_write = [['compression', 'chunklen', 'shuffle', 'time', 'size_on_disk']]\n",
"for i, (bparams, kwargs) in enumerate(blz_configurations):\n",
"# log(i, bparams, kwargs)\n",
" k = str(i)\n",
" fn = '/tmp/%s.blz' % k\n",
" before = datetime.now()\n",
" b = blz.barray(test_data, bparams, rootdir=fn, mode='w', **kwargs)\n",
" after = datetime.now()\n",
" compression = b.bparams.clevel\n",
" shuffle = b.bparams.shuffle\n",
" chunklen = b.chunklen\n",
" elapsed = (after-before).total_seconds()\n",
" size_on_disk = b.cbytes\n",
" row = [compression, chunklen, shuffle, elapsed, size_on_disk]\n",
" tbl_blz_write += [row]\n",
"\n",
"tbl_blz_write = etl.wrap(tbl_blz_write)\n",
"df_blz_write = tbl_blz_write.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunklen', y='time', hue='compression', col='shuffle', data=df_blz_write, kind='point')\n",
"grid.fig.suptitle('BLZ write', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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hk7y3/YS3feW0VOZOHtbFER1zOpytpi8tqC5ifeGWHokx1LWvGhRToqqBiIiI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+EvnvkOR5POi5tWnM11H7lmxo5fiImBNL8cG+hh18HdyezMu9h9aA8D2fFbPz/62lE2vHmMJYdy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\nkiRJkiRJkqQK9v8+kdkW0qCK6wAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f4f97276d90>"
]
}
],
"prompt_number": 28
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunklen', y='size_on_disk', hue='compression', col='shuffle', data=df_blz_write, kind='point')\n",
"grid.fig.suptitle('BLZ write', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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AkiRJEiYGkiRJkjAxkCRJkoSJgSRJkiRMDCRJkiRhYiBJkiQJEwNJkiRJmBhI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\nrq0KIcwF7gdOijG2dJ/f3l4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rOmq023HqMcx+ZlPn76HS2tkN/PTSOeRy+W6xsGtMzZbn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\nkiRJkiRJkiRJkiRJkiRJXAWnTBpnyYbDaQAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f4f96dc8dd0>"
]
}
],
"prompt_number": 29
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark BLZ read whole dataset"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_blz_read_all = [['compression', 'chunklen', 'shuffle', 'time']]\n",
"for i, (bparams, kwargs) in enumerate(blz_configurations):\n",
"# log(i, bparams, kwargs)\n",
" k = str(i)\n",
" fn = '/tmp/%s.blz' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" before = datetime.now()\n",
" b = blz.barray(rootdir=fn, mode='r')\n",
" a = b[:]\n",
" after = datetime.now()\n",
" compression = b.bparams.clevel\n",
" shuffle = b.bparams.shuffle\n",
" chunklen = b.chunklen\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunklen, shuffle, elapsed]\n",
" tbl_blz_read_all += [row]\n",
"\n",
"tbl_blz_read_all = etl.wrap(tbl_blz_read_all)\n",
"df_blz_read_all = tbl_blz_read_all.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 30
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunklen', y='time', hue='compression', col='shuffle', data=df_blz_read_all, kind='point')\n",
"grid.fig.suptitle('BLZ read all', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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PiLqcxL3JE7I6dBJftfagHoyJSPQ6Hxtj3MBPgblAK/Bxa+2BiPULge/hjG53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\neOPKAey99DoCUiBue5W1An+16guw6i1Tfg0GA2UZUyls1CgdZFnGlX/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KYtm+8jERBEH4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\nFvv/X/JaJDu/2K4AAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x7f4f96de0650>"
]
}
],
"prompt_number": 31
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark BLZ read single column"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_blz_read_col = [['compression', 'chunklen', 'shuffle', 'time']]\n",
"for i, (bparams, kwargs) in enumerate(blz_configurations):\n",
"# log(i, bparams, kwargs)\n",
" k = str(i)\n",
" fn = '/tmp/%s.blz' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" before = datetime.now()\n",
" b = blz.barray(rootdir=fn, mode='r')\n",
" a = b[:, 0]\n",
" after = datetime.now()\n",
" compression = b.bparams.clevel\n",
" shuffle = b.bparams.shuffle\n",
" chunklen = b.chunklen\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunklen, shuffle, elapsed]\n",
" tbl_blz_read_col += [row]\n",
"\n",
"tbl_blz_read_col = etl.wrap(tbl_blz_read_col)\n",
"df_blz_read_col = tbl_blz_read_col.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 32
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunklen', y='time', hue='compression', col='shuffle', data=df_blz_read_col, kind='point')\n",
"grid.fig.suptitle('BLZ read column', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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309r3ikN5/G3L84BTLbh3xp1dqhtRvYOVhTy08tGG7Xtn3NlpF3YTCYVYSgzq\n1dZ5eGfVft5YvpfqGk+TtjFD0rjx4pEMytT6ByISWkoMggtlV6I5wHwAa+0KIHAVKwOUAncZYxYB\nvdtKCiKhd3I35p03jF9+7Ry+cu1YhvZrOk93xfEaXlu6h7sfX8YfX9vEzgPl7Zpto/m6BVO7yExE\nwfRPzm6SCKxWdyKRTq9+/MHDt8/ivCDjD37415U8M39r0BsyIiISWqFMDFKBwLk/Pf7uRQDpwDnA\n74FLgIuNMXNDGMsZS4h3M3tcNg/8Vy733TyNWeOyiHM3nso8Xh8rNhfx0LN5/OSZ1SzdcIjautb7\ny64uym/oQuTCxRU5F4f8M0Sz3MzJDb/nFeVrKkORLqJXcjduqR9/MKh3w+M+HyzOP8j3nlzO2yv2\ntnk8FRGRjhXKBc4qgMDRvG5rbf0RvhTYUV8lMMbMx6kofNDaztLSehAfH9dac1hkZKQwa9JAyipO\nMn/5Ht5evqfJgml7Co/x5ze38O/Fu7h89hCunJ1D316NU6R6vB7eWfl+w/bsQVOZNHRkGD9B9Lm0\nxxxe3fU2AKUnyzjqPoxJHxbhqEQ6n2g4hgaTkZHCtPH9WL7hEH95fRNFR6oAOFHt4cUPdvLR+kJu\nuXYcs8Zna/yBiEiIhTIxWApcC7xojJkFBK5itQtINsYM9w9IPg/4U1s7KyurClmgZ+KSqQO4cFI/\nVm8tZmFeATsPNhZHjlZW8/y7lpcWbmfaqAwumTaI4QNSWVGYR2FlCeBUCy7qfyElJcci9RGigotE\nhvUawq7yvQC8u20Zab6MCEcl0vlE2zG0uZH9UvjxrdN5d3UBbyzbw0n/+INDpcf56dMrGT24Nzde\nPJLBWVolXUQkVEI5+NhF46xEALcA04Bka+1T/q5DD/tjWGqtvbOt/UXLwLnW7D5UwXurC1i5pSjo\nbEaDs3tyIuc9Kr3OlKfTMidx6/jPhzvMqLS4YBkv2FcASElI5qE59xHnjr47myLRJhYHH7dHeWU1\nLy/ZxZJ1hwgM2gWcN6k/nzx/GL16JkYqPBHpBDT4OLiY+VJi5aRWfryGxfkH+GDtAcorGwfPxaUf\nIHHYhobtb47/H0ZlDopEiFHnWE0l9y59EK/P6Wn2jcm3MaaPiXBUItGvsyYG9fYVHeNf721n2/6j\nTR7vnhjHtefkcEnuoDOeNlpEujYlBsHFzJcSaye1Oo+XvG0lvJe3n50HjtJt4ke4uzul/LrSbDy7\npjjdjHLxPvrmAAAgAElEQVQHMmJAry7fd/YP+X9iyxELwKzsXL449jMRjkgk+nX2xACc9Q/W2MO8\n8MF2So42Xf8go3d3PjN3JFON1j8QkdOjxCC4mPlSYvWkBvD6liXMP/Q64My4Ub3hXHwnG+fpHpyV\nzMXTBjJrbBYJUTg4MBwC13boHtedh899gIS4hAhHJRLdukJiUK+2zst7eft5fWnj+IN6Gn8gIqdL\niUFwqsGGmMfrYfXRZQ3b/eNG0Cu+T5Pn7Cuq5K9vbeXbjy3j34t3cqTiZPPddHoTM8aR4HbGwp/0\nnGRT6dYIRyQi0SQh3s2VM4fws6/O5oLJ/Zvc1dq67yg/+usqnn57C+Va/0BE5IzFTLYUq3e7lh9a\nzd+3vAA4MxHdP/Mu0rtnsMaW8N7qAnYcKG/xGrfLxdRRGVwybSAjB3adbkZ/2vAsa0uccRhTMiZw\n24QvRjgikejWlSoGze0rOsZzC7ezdV/L8QfXnJPDpbkDu2wFVkROTRWD4GLmS4nFk5rH6+HHK37F\nYf+CZrlZk7ll3OeaPGdPYQULVxewYksRdZ4gsxllOt2MZo7NIjGhc5/k8os38NTGZwGId8fz8Lnf\nJym+e4SjEoleXTkxAGf8wdrth3nh/R0UHz3RpC29V3c+M3cE00ZldJmbKyLSfkoMgouZLyUWT2rL\nD67i71tfBBqrBdk9s4I+t+J4DYvXHWTR2gNNFk2rl5yUwPmT+nPR1AH0Se2cF8u1nlru+egnnPQ4\nXaluHvNZZvabFuGoRKJXV08M6tXWeVmYV8Dry3Zzorrp+INRg5zxB0OyNf5ARBopMQguZr6UWDup\nebwefvzxLzl88ggQvFoQTJ3HyxpbwsK8ArYXBO9mNMWkc8m0gZhBvTvdnbBnN7/Ax4WrARjTx/CN\nybdFOCKR6KXEoKmK4zW8smQXi9cdxBfwaV3AuRP7cf35w+iV3C1i8YlI9FBiEFzMfCmxdlJrWS34\nNtk9M09rH3sLj7Ewr4CPNxdR5/G2aB+Ykcwluc5sRp2lm9GWI5Y/5DuLYLtdbn46535SEpNP8SqR\nrkmJQXD7iyv513u2xfiDbolxXDN7CJdNH6TxByJdnBKD4GLmS4mlk9qZVgtaU1FVw5J1B3l/TfBu\nRj27x3P+5P5cNGUgfXvFdjcjj9fDfUsf4lhtJQCfMfO4YOA5EY5KJDopMWidz+cjf/thntf4AxEJ\nQolBcDHzpcTSSW3ZwVX84yyrBcF4vF7W2sO8t3o/Nkg3I5cLpo7M4OJpAxk1OHa7Gb1gX2VxwVIA\nhvXK4dvT/jvCEYlEJyUGp9bW+AMzqDc3afyBSJekxCC4mPlSYuWk5vF6+NHHv6S0g6oFrdlXdIz3\n8gpYsbmI2rpg3Yx6OoumjcumW4x1M9pVvpdH8h5r2P7x7O/RNyktghGJRCclBu1XcbyGVz7azeL8\nAy3GH8zxjz/orfEHIl2GEoPgYuZLiZWTWqiqBa05VlXDh+sO8sHaAxypCN7N6LxJ/bloygDSeyeF\nLI6O5PP5+MHyhyk9WQbAJ4ZfyWVD5kY4KpHoo8Tg9BUUV/KvhdvZsresyeMafyDStSgxCC5mvpRY\nOKk1rxZMz5rCl8bdFKb3droZLcwrYNv+oy3aXS6YPCKdS3IHMToGuhm9uvNt3tn7AQADkvtx74w7\nIxyRSPRRYnBmfD4f+Tv84w/KWo4/+PTcEeRq/IFIp6bEILiY+VJi4aQW7mpBa/YVHeP9NQUs3xS8\nm9EAfzej2WOz6ZYYnXfGDlYW8tDKRxu275txF/2TsyMYkUj0UWJwduo8zviD15bu4UR1XZO2kQN7\ncdMlI8nJTo1QdCISSkoMgouZLyXaT2qRrBa0pvJErX82owJKg3Qz6tEtnvMn9Wfu1AFk+LsZ1dR6\n+Gj9ISpP1pKTncqEYX0idtfsoRWPcvB4IQBXDLmIa4dfEZE4RKKVEoOOUVFVw6tLdrMo2PiDCf24\n/gKNPxDpbJQYBBczX0q0n9SWHVzJP7a+BDjVggdmfpusCFQLgvF4veRvL2Vh3v4W83qD849g8sh0\nsvv2YPWWYkrKnZWH3S4YOag3X75qTETGJyzY8z6v7ZoPQHr3Pvxw9v+qtC8SQIlBxyooqeS5hdvZ\nvKfZ+IOEOK6aPYTLpw/qNGvGiHR1nSExMMY8Y639r47cZ8x8KdF8UnOqBb9oGCw7PWsqXxp3Y4Sj\nCm5/caWzaNqmQmqCdDMKZvTg3tx905SwX5QfPnGEHyx/uGH7O9O+wdBeg8Mag0g0U2LQ8Xw+H+t2\nlvL8wu0UNRt/0De1O5+eO5zpozN1k0IkxnWGxCAU4iMdQGewojCvISlw4eLKnIsiHFHrBmUm86Ur\nR/OpC4ezZP1B3s87QGnFyTZfs73gKBt3H2HCsL5hitKRntSHoalD2F2xF4DVRWuVGIhISLlcLiaP\nSGf80D68v+YAr320myr/+IPSipM88eom3ssr4KaLRzK0n8YfiHRmxpgU4O9ABnASeAa4A/AB8621\nPzbGPO1vGwXsBA4DFwGLrbV3G2MWARuBKcB24BbgB8A5QDfgcuAvQD//fm4FvMC/gDigDLgRuA74\nlv+xZ621jxljtlprRxtjrgbubyWuETjX+9daa4+d6jO7z/C7Er86bx3z9yxs2M7NmhI1XYjakpyU\nwJUzh/DzO2bzjesn0LN76zmixws7D1SEMbpGuVmTG37PK16H19e+KoeIyNmIj3Nz2fRB/Oyrs5g7\ndQCBBYIdBeX85JnV/PmNzUFXoxeRTuNrwIfW2nOAXwD/C1zq355tjJmMczG+2lo7F5gKvAHMAub5\n9+EDXrXWzvH/fpX/50fW2guArwBr/a//OU7SMB2wOAnGU0Bv4DP+958DHA/YN8Av24jrEmCzf1+n\npMTgLLWoFgy9OMIRnR6328VUk8HoIW0vILYwbz9LNxzC6w1vb4SpWRNx+Xu8HaupxJbtDOv7i0jX\nltIjkS9eNoof3TqDcTlNj5NLNxZy75Mf8/rS3dTUevB6fSzbVMjLS3axOP8AdR7dyBCJccOAVf7f\n1wBF1tpK//bHOFUCgA3+n+WAtdZ6gcCpzhYHvGak//ft/p9jgJuMMR8APwTSgbeA3cB84As4FYS7\ngS8B7wENd6CNMRntiKsI6N6eD6yuRGehzlvHgj3vN2xPz55CVo+MCEZ05qaMTCdvW0mr7cdP1vHn\nN7cwf+U+bjh/OJNG9A1LH9vUxBRGpY1ga5nz/2d1UT6j+4w8xatERDrWwIxk7vrsZNbvLOW593dQ\ndKQKgOpaDy8v2c3CNQdIiHdRWt5YQXhn1X4+e9EIJg5Pj1TYInJ2LE4V4EPgQmCmMSYZ5479bJwL\neGi8c9+aqTgX7DOAF4GZOBf79e+Rb6190hgzFpjmf6+d1tqfG2O+CXwayALuAUqB1caYx/2vPwxk\ntRLXaVPF4Cw0rxZckRNb1YJAs8dlM2dCy3UCEuJcTUaoHyg5zu/+vZ6f/WMNNshCaqGQmz2l4ff8\nkg3UeuvaeLaISGi4XC4mjUjnJ1+ewU0Xj6RHt8Z7axXHa5okBQCHSqt4dsE2Kqpqwh2qiHSMPwLn\n+e/m3wJ8FXgXWAGstNauauO1gcnCXcaYpUCVtXZ+s/YngYv9YxH+CmwC1gNfN8Z8CFwJvAzk4VQL\nFgIL/RUCn7XWB3y3lbgCY2hXl4+YGZEdbTNq1Hnr+PHHv2xIDGZkT+W/xkbnTETt5fP5+HhzEfnb\nSzhR4yE9tTtzpwwgPt7Nfz7cFbSiMHF4X264YDiDMpNDFteJuhPc89FPqPMnBLdPuJlJGeND9n4i\nsUKzEkVW5YlaXlmyiw/WNl3/oLlrzhnC9ecPD19gInJK4ZqVyJ9U3GCtPRKO9ztb6kp0hlYc6jzV\ngnoul4vZ47KZPa5l5eDrn5zAroMV/HvxTrbsbZzje/3OUjbsLGXWuCw+cd4wMkOw3kFSfBLj+44m\nv2QjAKuK8pUYiEjEJScl8IXLRnH8ZC0rNhe3+rztBeV4fT7cmuJURKKcuhKdgTpvHfP3No4tmJE9\nNWbHFpyOYf1T+c6Nk/n2ZyczJCul4XEfsHxTEfc9+TH/eMdSfrzjy+bTAmYn2nh4Myfr2p5iVUQk\nXDJ692izfdu+o9z/1AoW5x+gts4TpqhEJBpYa+fGSrUA2pkYGGPONcbcYYzpbow5P9RBRbsVh/I4\n0qRaEL3rFnQ0l8vFuKF9eOBLudzxiXFkpTVWCDxeHwvXFHDPE8t5+cNdnKjuuLEA4/uOoXtcNwBq\nvXWsK9nUYfsWETkbcyf3J6VHQpvPKTxSxTPzt3H348t4belujmncgYhEoVMmBsaY/wc8CNwFpABP\nGmPuDnVg0SpYtSCzC1QLmnO7XMwYk8VPbpvJzVeMoldyYkNbda2H15ft4X+fWM47K/d1yB2yxLiE\nJt2HVhfnn/U+RUQ6Qlpqd645J4fuiXFNHo9zu8hMa9q9sqKqlleW7Obux5fx7DvbKCqrCmeoIiJt\nOmWHR2NMPs60Sh9ba6f4p0NaZa0dE/LoAkTLwLmPDnzMv7b9BwC3y80DM7/dJROD5qprPSzMK+Ct\n5XsbVgmt1ye1G584dyhzxvfD7T7zPrabS7fx2Lo/A853/9M595OSGLpBzyLRToOPo8vOA+UsWX+Q\no8dqSOmRwKxxWYwb2pcDJZUsWLWfjzcVUudp+tfgAqaYDK6YMZgRA3tFJnCRLihcg49jTXsGH3us\ntdXGmPrtkzRdtKHLcFY5Dli3IGuKkgK/bglxXDVrCBdM7s9bH+/lvdUF1NY5U/Qeqajmr29tZcHK\n/Vx//jCmjEw/ozUQRqWNIDmhJ5W1x/H6vKwt3sD5A2d39EcRETkjwwf0YviAlhf3AzKSufWqMVx/\n/jAW5hWwaO0Bjp90TqM+YI0tYY0tYfiAVK6YMZgpIzPO6iaKiESfa+56JQ7wvvHovKi+SdOeisGj\nOMeu63BWXbsd2G6t/dYpXucGHgcmAtXAbdbanQHtdwJfBurnwPyqtda2tr9ouNvVslrwHTJ7aOGa\nYMqOVfP60t18uO4Q3mbz+A3vn8qnLhzOqMFtr7YczPPbXuHDA8uc/fTK4a5p/90h8YrEIlUMYlN1\njYePNhxiwcp9HC5vOZFCZu8kLpsxiDkT+tEtIS7IHkTkbIWrYnDNXa/chrN68UigElgCPPDGo/MO\nnc1+jTEzgYettXPPPspG7Rl8fDfOss3rgJtxVlP7djteNw9ItNaeg7NS2yPN2qcCX/SP1p7bVlIQ\nDYJXC5QUtCYtpRs3XzGaB78yk+mjM5u07TxYwc//uZZHX8hnb+Gx09pvbsDsRDvL9zQMAhcRiRXd\nEuO4eNpAHv7qbP573niG9ktt0l589AR/f8fynceW8p8Pd4VkpjcRCb1r7nrlXuD3wAVAf8Dg3BR/\n/Zq7Xulzpvs1xnwXeAro1hFxBjplYmCt9QD/xEkG7gRex/lwpzIHmO/fxwogt1n7NOBeY8wSY8w9\npxN0JHx8aDVl1c5Kv26Xu1OsWxAO2X168LV543ngv3IZl9O0QrBx1xF+9PQq/vjapnYPwBvaazB9\nujfuJ69oXYfGKyISLm63i9zRmdx/8zTu+fxUp5tlQPvxk3W8sWwPdz++jKff3sLBw8cjFquInJ5r\n7nolGfgK0D1I8zScG+9nagdwPSFYqLg9sxL9CtgPLAr4s7gd+04FKgK2Pf7uRfX+hbO09EXAucaY\nq9sVcQQ0rxbMyJqqasFpGtovlW/fOIXv3DiZof1SmrSt2FzE/U+t4NkF2zhaWd3mftwuN9MyJzVs\nry7S7EQiEttcLhdmUG/+54aJPHT7LC6cMoCE+MbTZZ3Hy4frDnH/n1bw2xfXsW1fGb62lloWkWhw\nE5DTRvusM92xtfY/hGi8b3sGH88DBlhrK09z3xU405vWc1trvQHbv7XWVgAYY94EpgBvtraztLQe\nxMdHpq/luzuWNKkWfG7qtWSkpJziVRLMBRkpnJ87mGUbDvHsW1s4UOL8s/J4fXyw9gDLNhVy3XnD\nuGHuSHomBZ8X/LKEOby7bxEABZUHqe5WycDUfuH6CCIxKZLHUGm/jIwUJozK4rbKat5aups3l+2m\nvLKxK9G6naWs21nKiIG9+OSFI5gzsT9xcVqrVCQKJZ6iPSoPyO1JDNbhlEFONzFYClwLvGiMmQWs\nr28wxvQC1htjxgJVOFWDP7e1s7IIzfVc563jpY1vNWzPyJpK3MkkSk6eXt94acr0S+GHt+SydEMh\nr360m7JjTqWgusbDiwu389bS3Vw9O4eLpg4gsdnguyRfKv16ZnHoeBEA725ZyjXDLg/7ZxCJJZE6\nhsqZu2TqAM6fkM2yTYUsWLmfoiONf4c7Csr55d/z+EvqJi6dPojzJvYjqVt7TukiEiYvAvcD2a20\nR2Vf6PbMSjQP+Cuwkcayhc9a2+Zyv8YYF42zEgHcgtOnKtla+5Qx5iacMQvVwHvW2h+1tb9Izaix\n5MDHPKeZiEKqptbD+2sO8ObyPQ1T+NVLS/GvgTAhmzh3412x+XsW8vquBQCkJ/Xlh7O+e0ZToIrE\nMs1K1HV4fT7W7TjMghX7sAXlLdqTusVz4ZT+XDJtEGkpHT4eUaTTCcesRNfc9crvga/T8np7B3D5\nG4/O23Wm+zbG5AD/9E/y02HakxjsAb4P7At42Getbc84gw4TiZNarbeOHy3/RUM3olnZuXxx7GfC\nHUaXUXWylrdX7OPdVfupqfM2acvu04Przx/GtFEZuFwuDp8o5QfLf97QfnfuN8hJHRzukEUiSolB\n17TzYDkLVu4nb1sxzYcaxLldzBybxeUzBjMoUwtAirQmTImBG/gJcAPOjESVwIfAD994dN7qUL//\nmWjXysfW2smnel6oReKktuTAcp7b9jLgVAu+P/NuMnr0DXcYXc7RympeX7qHD9cdxONt+tc+tF8K\nn7pgOGNy+vDL1X9gT4WTr84ddC6fGnldJMIViRglBl1bydETvLtqPx+uP0hNrbdF+7ihfbhixmDG\n5qSpoirSTDhXPr7mrle64QxELn/j0XmF4XrfM9GexOAPQD/gbaDW/7DPWvu3UAbWXLhPai2qBf1y\n+eIYVQvCqaisileW7GbF5qIWbeNy0siZUMr7Re8AkJqYwkNz7sPt0iA86TqUGAhA5YlaFucf4L3V\nBUHXPBiYkcwVMwcxY0wW8RqoLAKENzGIJe1JDJ72/1p/UnHhJAa3hCqoYMJ9UlO1IHrsLTzGvz/c\nycZdR5o2JFSTNHkRuJx/Gt+cfDuj+owIf4AiEaLEQALV1nn5eLMzUDnYmge9kxO5NHcQF0zuT4/u\nwWd9E+kqlBgEFzNfSjhParXeOn64/OccrXYGeKlaEB227i3jpcU72XWwcXmMxFGriOtVCsC09Gnc\nOvGzkQpPJOyUGEgwPp+PjbuPMH/FPrbsbbk6fLfEOC6Y1J9LcgeS3ispAhGKRJ4Sg+Ba/VKMMW9a\na682xuwO0uyz1g4LYVwthPOk9mHBcp63jdWCH8y6m/QkVQuigc/nY+32w/x78U4OlVYRl15A4rCN\nTltdPBck/BfXzB5GT90Nky5AiYGcyt7CYyxYtY+Vm4vxNhup7Ha5mD4mk8tnDCInOzVCEYpEhhKD\n4Nqa9Pg2/8+1ONOK1nMBfwlZRBFW661jwd7GVY5nZk9TUhBFXC4XU00Gk0eks3TjIV5Z5uaEdxMu\ntw9XfB3vblvDkvwirpo9hIunDaRbQlSuHyIiEhZDslO4/dpx3HD+cN7L28/i/IOcrPEAzhSoKzYX\nsWJzEaMH9+byGYOZMLwvbg1UFulwn37ujjjA++KNT0T1TZq2KgYvA5OB/sDBgKZ4YJ+1dk6IY2si\nXHe7VC2ILbV1Hh5e+hSFHmcq4LrSbGp3OpNo9U5O5Lpzh3LuhH4acCedkioGcrqqTtbx4bqDvLt6\nf8PCkoH69e3B5TMGM3tcFglaKVs6sXBVDD793B23AV8ARuJMV7oEeODFG584dDb7NcasAeoXNdll\nrf3yWQXq11Zi0AtIA34H/E/Ac+uAQmttXWuvDYWOOqn5fD6OvP0mx/PXUldWhjs5mR5jx5E+75N4\n4txNxhbM7jedL4z5dEe8rYTQmuL1/Hnj3wHwed2cXHMReBuLYVlpSXzy/GHkjs7UnTDpVCKRGHhr\nayn/cBHVBQW4EuJJmT6DHiNHdcSuJYzqPF5WbS1mwYp97CuubNGe2jORi6cNZO6UASQnqWumdD7h\nSAw+/dwd9wIPAN2bNeUBl7144xNHWr7q1Iwx3YFl1tqpZxliCzFzldRRJ7XCvz1NxYeLWjzeY8JE\ndn1yBs/veA1QtSCW1HhqueejH1HtcabpG+m5kE1rk1qsgTAk21kDYdzQPpEIU6TDhTsxqC48ROFT\nT1C9d2/jgwkJ9DrnXDK/cLPmyo9BPp+PLXvLmL9yX8uZ34DEBDfnTujHZdMHkZnWIwIRioRGqBOD\nTz93RzKwAWf9gmAefvHGJ753Jvs2xswEngH24vTkuddau+JM9tVcl+pfcXLfPo6tWB60rWrDerZ/\n8FrD9iyNLYgZiXEJTMoY37idWchDt89i1risJpnv3sJjPPJ8Pr/811p2H6pouSMRaVPJP//RNCkA\n8FcQyhe9H/xFEtVcLhdjc/pw12cm8+Mvz+DcCf2IczceOWtqvby/5gDf++PHPPbyBnYeKG9jbyIS\n4CZaTwoAZp3Fvo8Dv7TWXg7cAfzDGNMh1/RdKjE4tmoFvuqWfSrrpe93Dnhul5vLcy4KV1jSAXKz\nGhfn3nLE0qOHl9uvHccPbpnOxOFNE7wte8v4yTOreezlDRwqbTnXt4i0dHLvXqq22+CNPh+V+WvD\nG5B0uIEZydx69Rh+8bVzuHr2EHp0a+yS6QPytpXw0LN5/PTveayxJXi9GrYi0obEU7SfzSAeC/wD\nwFq7HSjFWYz4rHWpxABvyyXjA/UvqSWl0qNqQQwanTaS5ISeAHh9XtaWrAdgcFYK/+/Tk7jn81MZ\nMaBXk9fkbSvh/j+t4Om3t3Ck4mTYYxaJJdX790Fty1V1653cu5fa0sNhjEhCJS2lGzdcMJxfff0c\nbrpkJOm9mnaP3lFQzh/+s4H7nvqYD9YUUF3riVCkIlHtRaCwjfZ1Z7HvW4BHAIwx/YFU4KwGM9eL\nmQ6hHdE/tnLTBg7+7jfgaf0g5nFDjzlzGDDv08T36n22bylh9Ny2l1lywOkqNqL3UO6c+rUm7T6f\nj3U7Svn34p0caLYqaEK8m4unDeSqWUM00E5iRjjHGJzcv4/9P3sQX03ryQFuNym500m7/Eq6D8k5\nm7eTKOLxesnbVsKClfvYfehYi/bkpAQumjqAi6YOJLXnqW6SikSHMA0+/j3wdVpeb+8ALn/xxid2\nncl+jTHxwF+BIf6Hvmut/fiMAw3QpRIDn8/Hgd/9mqoN60/5XFdiIr0vvpQ+V1xFXM+eZ/vWEgY7\nju7m12v+r2H7wXPuJa17y+TO6/WxfFMhryzZTWmzSkFSt3iunDmYS3MH0S1RU/VJdAv34OOC3/yK\nqo0b2/XcpNFjSLvsCnpOmKhByZ2Ez+dje0E581fsI39Hy+pQfJybOROyuWz6IPr11XlToluYEgM3\n8BPgBsDgTFf6IfDDF298YnWo3/9MxMzRusOm2quupvgfz3J800Y85UfxdE9kV7qP4rQEJu04SfKJ\npt2N3ElJpF1xFWkXX4q7e/PZpiSaeH1evr/sYcqqjwLwyRFXc8ngC1p9fm2dl0VrD/D6sj1Unqht\n0tarZyLXzcnhvEn9tQaCRK1wJwY1xUUcevIJqvfsbnwwPoHuQ4ZQd6SUurKyFq9J7N+ftMuuJGXm\nLNwJqsZ1FodKj/POqv0s3VBInadlN93JI9K5fMYgzKDeuFwuqms8fLjuIFXVdQzrl8r4YX2UMEpE\nhXPl408/d0c3nIHI5S/e+ERb3YsiLmb+V3b04jy1xyspP7CHx/e+RFFcFQDnpk/j8oMpHHn7TbzH\nm3Y1iUtJpc/V19Lrggt1cotir+x4i3f3LQJgUHJ/7pnx/075mhPVdbyzaj/zV+6juqZpN7PM3s4a\nCJNG9OWDNQfYXlCO1+djcGYyl84YREqSyuYSOZFYx+Dg0QI2LXgB14FCfPHxJOZO5pxZ1xPvhWOr\nV1K24G2q9+9v8bq4Xr1Ju/gSel0wV1XYTqTieA3vryng/TUHWtxgARjaL4XBWSls3FVKaYUz+Uec\nG8ygNL589Rj6pOqGm0RGOBODWBIzX0pHndQ8Xg+v71rApsNbKTlRSq3POZC5XW5+OOu79E3qg6eq\nirJ35lP27oIWsxjF9+lL3+vmkTr7HFxx6moSbfYfO8jDq37TsP3AzO+Q3TOzXa+tOF7DG8v3sGjt\nAeo8Tf+5dUtwU13b9K5Y//QefP2TE7p8ybzs2EneWbWfQ4erSEhwMzYnjfMn9SfOrUpLqIU7MdhU\nupV/bvk3R2uaTlk5Om0kd0z8EglxCfh8Pqq2bKZswdtUbWrZ7cjVrRu9zjuftEsuIyE942xDkihR\nXeth2cZCFqzcR3HZiXa9ZmxOGt+5cUqIIxMJTolBcDHzpXRUYvD0pn+xqqjltHqpiSk8eM69xLkb\nL/brKio48vablH+wEF9d04WeE7KzSZ93PclTc3HpAihq+Hw+HlzxCIVVxQBcmXMJ1wy77LT2cfjo\nCV75aDfLNxZyqn90owb35vOXGuLcLtwuF263izi3C5fL+en2P97wuxvcLlenKaFvLzjKn97YTMnR\npmM1Jg3vy9evn6BuWCEWzsTA5/Pxq7zH2FOxL2h7sP9r1fv3U/bOfCpWftxy0geXyz9Q+Sq65+Sc\nTWgSRbxeH/k7DjN/5T52FLS95oHLBdNMBkOyU0jtmUhqj8SAnwkkxOvmm4SOEoPgYuZL6YjEYFf5\nXn639klqvS3LnQA3mus5b2DL9SZqj5RS+vqrVCz9qMWUp90GDyH9+hvoMW5Cp7nYi3Vv736PN3a/\nA3e8JKAAACAASURBVEBmUjrfn3X3Gf3dFJRU8p/Fu4IOsjtbThJBy8QhILloNdFwQ5yr/nf/cwK2\nA1/b6v7ctHisrecHi8XlgpcW7+BASVXQz3jduTnMO3dYh3930iicicG2Izv4ff5T+FpJl4f3yuGu\naf8dtK32yBGOvv8e5Ys/wHui5d3kpFGjSbv8CnqOn6gbLZ3IzgPl/Pal9UG7GLVHUrc4UnskktIz\nkV7+n6k9EpokESk9EujVM5GkbvE6B8tpUWIQXMx8KR2RGLy64y3e8fc/D2Z61hS+NO6mVttrCgsp\nffU/HFu1skVb0khD+vWfImmkOdsw5SwVVx3mRx//omH7u7n/w5DUQWe0L6/Xx7d+v4TjJ+pO/WRp\nIjkpgYunDaRf3x7079uTrD5JugPYwcKZGCw/uJq/b32h1fZEdyK3jLuJ8eljcLuCX9x7TpygYsli\nyt57h7ojR1ruo39/0i67gpSZszWWq5P4/UvrWRuCmyvNxce5SOkRWHVI8CcOifTqmUhKz4QmyYS6\nOkq4E4OPrrs+DvCe+9p/onplwC6VGLy8403e27e41fbczMncMv5zp9zPyX17KX3lPxxf33Jtip4T\nJtL3kzfQffCQIK+UcPnFqt+z95gzAPKiQedxw8hrz3hfD/1tNTsPVrTa7na7tAJoO7hckNEriX59\ne9AvvWdDwtCvb096dI8/9Q6khXAmBkdOlPHwqt9yvC54haghph7pXDzofGZkTyMxLvjFva+ujmN5\nqyib/7azcFozcb16kXbxpRqo3Akszj/AM/O3BW1LTopn8sgMKqtqqaiqoeK486emru3FSDtCclJC\niwQiNUhFIrVHYsinrvZ6few5VIHH52Nov1R1wQyTcCUGH113/W3AF4CRONOVLgEeOPe1/5zxgmTG\nmETgT8AIoBb4prX2bBZMa9ClEoMdZbv5Q/5T1PqC3/39zMhPcMGgOe3e34nt2zn88kucsC0Pesm5\nM0ifdz2J2dlnHO//b+/O4+OqDrv/f2aXZiSNdlmSFwz2BQwY4wWv2Bjb7JsNCSX5tQlp1idN0/6e\nX9MkLUmbNE3SNn2aNE+SJm1DN7KBMTsGbPAKZjM2XuBiY2zLsrbRrpFmvb8/ZiRrpJEX7SN936+X\nX9LMubpz5lhzj7733HOuDN7Wkzt49P0nAfC78/ib5V8f8CzmuWx+7QS/3Xok7QUUaxZU8vF1lwIQ\ntyzi8cS/WNwa8HHie3rK4lbyue5tLQsr3us5q//PWxapP9Pn9VL2mfI9xOPx5GN6yqw0dbTOso9Y\n3CIajdHYFsIahkzkz3EnQ4KX8iIfFcnw4Pe5dXnAWYz25OOHDj7M67Vvn9e2OS4fq6YuY2XlMnLc\n6f+4tyyLzncP07j5WYIH3ulXbvN48K9YScE6TVTOVHHL4t+eOsQrB2tTnvf73Pw/NxosuLT/4hBd\n4SitwQitHWHaOsK0BBNfWzt6BYjk146ukR/N9bgcPZcs5SbnP6SMRvQKFb5sF/YLOGZt31fN1req\nOFHbDkBlsZcVcyu46drpI/V2JGk0gsHOOzd8HXgQ6Lv81pvAjSue2Nh/6PQ8GIbxReAq0zQ/bxiG\nAfzKNM0FQ6ttQsb0uMM1+fhf3/kv9tb374Au9l/El6/5LE77hZ25tCyL4MEDNGx8hNCJ46mFdjt5\ny1ZQdMdduIqKhlJtuUDNoRb+ctff9lwP/eVrPodRcMmg9mVZFr/ZeoRXDtTQlrxWNsvtYN7sYj51\n6+WT+uzOzx4/wGuH6/o977DDlRcXYcPG6UAHdc2dgwoQ2R5nIiQU+SgvPhMaiv3Z2O0Zc/gaMaN+\nH4NYmP889BsON5p0xRIrthV5CphbMoeGrkbeaTjc72dcdhdLyhdyw7QVlHoH/uM+VJWcqLznbBOV\nbyHroplDfRsyyuKWxasHa9h3pIGucIwSfzZrFlRSXpwz5H1HY3HaghHaUgJDIkCcCRVnAkVshEd3\n7TYbud7+oxEpASJ5WdO7x5v4r+dNQpHU33enw8Z9N8xizYLBXQIr52ekg8HOOzfkAO+QuH9BOt9b\n8cTGrw1m34Zh/F/gBdM0NyUf1wCGaZoDX95wnjKmZx2uYBCNR9l05BkOBN6lOdRMjsuHUTCLDbNu\nI8c9+IOUZVm0v/kGgU0bCdekjg7ZnE78199A4a2348zLG+pbkPP0w70/x2w6AsDyimv52GX3Dml/\ngdZOXjlQi2XBNbOLmVo69E4t0wW7IvziyUMcOt5IJJr4iPp9Lm6YP5U7lp/5Ay4SjVPbFOR0IMjp\nhg6qAx2cDgSpaQwSGcRlA06HnSmFXiqSYWGyzmMYi/sYAJxqO82hRpNsp4drp8zH7Ujcz6Omo5Yt\nJ3bwWs2bRK3UP3Zs2JhbcgVrp6/kYv9FA+470tRE85YXBp6obFxKwc23aKKyXDDLsgiGoj2XLLUF\nI7R0hHuFikjKaERXn/vajCa/z83aRVPxeVxkeRxku51ke5L/3A6yPE6yPQ7NlRiCUQgGnwF+fpZN\nXl7xxMbVg9m3YRifARabpvlpwzCWALuAqaZpDvrypG6TLhh0i8ajtEc68Dqzezq14WDFYrS+upvA\n45uINgZSymweDwXrbqTgxltweL3D9pqS3q7qPTz87qMAeJ3ZfHfFgxc8IiTnxzzZxOHjTbicDq6b\nW06u9/w+U/G4RUNrF6cbEkEhERg6ON0QJBi68EsEJts8hrEKBufSEmpj+6nd7Kh6Je2chJl5M1g7\nfSVzS644x0Tl7TS9uDn9ROXyCgpuvIncJUuxu3SjQRl+4UgsMfLQHSD6jEh0h4i2jjBtnZFhuazy\nQrld9l6hwUFWr++z3U6yPE68HmevcOFIhovEc16Pkyy3c9yOwLYFwxz6sJFcr5vLZhRc0GVa5zIK\nweCLwI/PssmOFU9sXDmYfRuG4QD+HlhEIhTcBcwzTTN01h88D+PzNyGN0ezUhkM8EqFl+8s0PvUk\nsbbUkR2710fhLbeRf8Ma7B7PGNVw4gtGgnx157eJJc9cfn7uJ7mqeM4Y10rOh2VZtHaEqQ4Ee4JC\nd2hobg8Pap8TcR7DeA0G3UKxMK+efoOtJ7bT0NX/j/uS7CJumLaSJeULBjxBc86Jynl55K9ZR/6q\n1ThyNIonYyMet2jv7DsHInGJU7pQMZiR0pHkcTlSgkJ2r1GK1BGLRLDIcvcNHE6y3I5hCxjRWJyH\nXzR522yguSOMDZgxJZdbl85gYZp5KYMxCsGgFNgHDDTZ9Mcrntj4pcHs2zCMpUCRaZpPGYaxEPg7\n0zRvGGRVU2RMb5hpwaBbPBSiecsLND73DPFg6pkzh99P0e134r9uFTbnxDubOR78bP9DvNNwCIAF\npVfzqSs/PsY1kqEKdkU53ZgIC6cDZ0Ya6ifhPIbxHgy6xa04++oP8uKJbWlvkOZzeVlZuYxVU5eR\nO8AlneecqOx2Jycq34SrRBOVZfyyLIuucIyfbjrAgWPp5576fW5mlufRGYom/oWjdIZidIaiIz5P\nYig8bgfZbkfKZU+JcOFMHbFIBglvT9mZ5z1uB//13Hts21fdb/+5XhdfXH8VxrT8Idd1lCYf/zPw\nRfr/vX0EuGnFExs/GMx+DcMoBH4D+IAu4DOmaR4dSl27je9er5dMDQbdYh0dNG1+lqYXn8cKp57x\ndBWXUHTX3eQuXqprZofZm7Vv8+8HHwbAbXfx3RXfIMupUZqJKBKNUdvY2TN/4fQQ5zG4nHbKCtLN\nY/Dicp7f5zRuWew166kOBCnM9bB4TtmwTlbPlGDQzbIsPmg5zpYT29jfcKjfzdKcdieLpyxgzbTr\nKPMNfFYwdKqKps3P0brnlbQTlXMWLKLwppvJmqkb7Mn4dex0Kz97/EC/O8fn57j59O1zmHNRYdqf\ni0RjiZAQToaGUIyuPuGh+/uunmAR6wkZXeHxHzDOZskVZXz2jiuGvJ9RCgZ24NvAPYBBYrnS7cBf\nrXhi4xsj/fqDoWAwyqItzTQ+/STN217u16G5KyopXr8B37z5GXtpw3gTjoX5853fIhxLhLFPzrmf\nRVOuGeNayWgakXkM+dkplyV1f+09j+F4bRv/tfk9jlW39vz5O7XEx0dWz+Kqi4dnlbJMCwa91Qbr\n2XpiO3tq3iQS7///cFXxHNZOX8Ul/osGPB6e10Tlm27Bd5UmKsv4dKK2jedfO8kHp1uxLIsZU3JZ\nu3Aasyr9I/q6lmURicbpDCfCQzAUTYaLWK9RivTBojMUo6tXKImP8uSKGVNy+eYnFw15P6N5g7Od\nd27wkFidqGXFExtrRut1B2PEGsUwDDvwE2AuEAI+nW6YwzCMnwMB0zTPumTTeOvUhirSUE/gicdp\nfWUXfa9/8Fw0k+IN9+KbM/RELPDQwV/xeu1eAK4supwvXP3AGNdIxoORnMdQVpjNvvcbaEqznyK/\nh7/8g4X4fUMfucrkYNCtLdzO9qrdbD/1Cu2Rjn7lM/KmsXb6Kq4uvgKHPf2KU/GuTlp2bKfphef7\nLfoA4J5Snrij8lJNVBYZTpZlEY7Gz4SLngBxZuSiq/tx+MyIRU8Q6bXd+eaLWZV+vv77Q1+yf7Tv\nfJwpRjIYbABuN03zU4ZhLAa+Zprm3X22+RzwCeBl0zS/frb9jddObahC1dUEHt9I+5v9R5SyL7uc\n4vX3kH3JrDGo2cRxoOEwP93/SwDsNjvfXfEgOS7dTVUGNtzzGPq6bekM7lk1uPtq9DYRgkG3cCzM\nnpo32XJiO/Wd/f+4L8oq5IZp17G0YhGegSYqx2K0vfE6TZuf7X9fGZITlW9YS/71N2iissg4YlkW\n4UicznCU9s4wP370Her6XGLV7ZbF0/nI6qH/XaRgkN5IBoMfAHtM0/xt8nGVaZpTe5UvA/6QxLVW\nl022EYO+uj48RsNjjxI8eKBfmW/eNRTfvQHPVN3sZDBi8Rhf2/VtOiKJyd/3X7qBFZVLxrhWkonS\nzWOobkjMY4jGzn8ew+LLy/jcXaN7jWymHEPjVpx3Gg7x4ontfNDyYb9yrzOblZVLWTl1OX5Pbtp9\nWJZF53vv0vjcswQP7O9XnpiofB35627CXTI8K5yIyPDZ9c5pfr3l/X53tr6kIo8//ejVeLNcQ34N\nBYP0RjIY/AJ41DTN55KPjwMzTdOMG4ZRDvwSWA/cB1w62YNBt+B779Kw8RG6jh5JLbDZyL12CUV3\nrcddqo7sQv3qvY3sPPUqALPzL+ZP5n9+jGskE0k8btHQ0tlzWdKrB2s5Wdc+4Par5lXwiZsvG/Lr\nTsRg0Fv3ROV99Qf7T1S2Obh2ynxumL6Scl/ZgPsInaqi6fnNtL66e4CJygspuPEWsi/WRGWR8eTg\nsQDb3q7mdCCI22XHmJrP7csvwjcMoQAUDAYy0iMGr5qm+bvk45OmaU5Lfv8lEpcQtZFY39ULPGia\n5n8OtL9IJGo5J8kdTS3LounNtzjx3w/TcezDlDKbw0Hp2jVMu+9ePEXDM4FxMjhU9z5/9dI/Aok7\nsP7kju9Q5C0Y41rJRBVo6eRP/vHltHMVXC473/rMUq68pHjIr2O7gFUKMvkYWtNWx1PmFl4+9grh\nWKRf+fzyK7njsnXMKZk94ETlUKCR008/Q81zm4l19L/pWt4Vc6i8+04KFi7QRGWRSeBCjp+TyUjP\nMbjDNM0HkrdrftA0zdvSbPcJdClRWlY8TtsbrxHY9BiRutqUMpvLRf4Nayi8+TYcuemH0+WMuBXn\nwd3fpTnUAsD6WbexdvqqMa6VTGTPv36CTduP0RU5c5baYbexduE07rtheOYNTfQRg77awx3sOPUK\nL1ftSjtReXpuJWumr+Kakqs0UVlEzkojBumNZDCwcWZVIoAHgAVAjmmav+i13SdIXEo0KScfnw8r\nGqV19y4CTz5OtCn1Zij2rCwKbrqFgnU3Ys/KHqMaZoaNR55iy4ntQOIPiD9f9OUxrpFMdO+daGLn\n/tM0t4fJyXay6PIy5hvDd/OtyRYMuoVjEV6veYstJ7dTG6zvV16YVcDqaStYVr6ILGdW2n1YsdiZ\nOyqnm6icm0f+Gk1UFpmoFAzSy5hGmUid2mDFI2FaXnqJxmeeItbellLmyMml8Nbb8a9erbNcAzjZ\ndorvvf7DnsffWPJnlHl1h1TJXJM1GHSLW3EOBt7lxRPbONJ8rF95tjOLFRVLuH7acvI96deF756o\n3LT5WTreST9ROW/5dRTcqInKIhOJgkF6GdMoE7FTG6x4VydNLzxP0+ZniXelLuflLCik8I478S9b\ngc3pHGAPk5NlWXx7zz/0nGG8deY6bpu5boxrJTJ4kz0Y9PZh6wm2nNjO3rp3+k1UdtgcLCq7hjXT\nV1KRM2XAfYROnaLp+ecGnqg8fwEFN91C9sVDX2pWRMaWgkF6GdMoE71TG4xYezuNzz5N89YXsSKp\nE/JcZWUU3bWe3IXXaiJdL88ce4Gnj70AQKm3mG8s/jPdZVoyloJBfw2djbx0cge7q18jHO8/UXlO\n4aWsmb6SSwtmDfjZjzY307z1RZpf3ko82H+icvZsI3FH5blX6/gqkqEUDNLLmEaZLJ3aYESbmwg8\n+QQtO7f3O8vlnjqN4vX3JDow/QFMXbCev37173se//miP2Z67tSz/ITI+KVgMLCOSJAdp17l5aqd\ntIX7Lx07NaeCNdNXsqD06rNPVN65g6YXNhMN9J+o7JoyhYIbbyZv6TLsLjdWLEbrK7uJ1NfhLCgg\nb/kKXdopMk4pGKSXMY0y2Tq1wQjX1RF44jHa9rxK39uzZl0yi+IN9+K9dOhrp2e677/+I060VQGw\nZtpKNsy+fYxrJDI4CgbnFolHeb1mL1tObKMmWNevPN/jZ/W0FSyvWEz2WSYqt7/5Bo2bnyV0/MN+\n5Y7cPHzz5tF59CiR6lM9z7umlFPykfvIuXresL0fERkeCgbpZUyjTNZObTBCVSdp2LSRjrf39ivz\nXnElxevvJeuii0a/YuPElhPb2XjkKSDxR8G3l30Nu02XA0jmUTA4f3ErzqHAe2w5sR2z+Wi/8ixH\nFssrr2X11BUUZOWn3UfPROXnn6Nj/77zel1nYSHT/uIbuPzp9ykiY0PBIL2MaZTJ3qkNRucHR2nY\n+Aid7x7uV5azYCFFd23AU1ExBjUbW82hFv5y19/2TFD8k2s+x+wCTSaUzKNgMDgnWqvYcnI7b9Xt\nJ27FU8rsNjsLSuexdvpKpuYOfHwMVScmKre9+gpWNHrW1yu47XZK1t87LHUXkeGhYJBexjSKOrXB\nCx4+RMPGR+g69kFqgc1G3tJlFN15N67iybVs5z+99TPeb060x4qKxdx/2T1jXCORC6dgMDSBziZe\nqtrBrurXCMf636X6soLZrJ2+issKB76jcrS5mVM//iGhD/svl9otZ9G1VHzufw1bvUVk6BQM0suY\nRlGnNjSWZdHx9l4aHnuUcK9rYAFwOMhfdT0FN91K6yu7CB4+RKyzE3dRMbnLl5M7b/7YVHoE7Tq1\nh4ffexQAn9PL3674S5x2Le8qmUXBYHgEI0F2Vu/h5ZM7aQm39Suv8E1h7fRVLCi7Ou1xomHTRhqf\nemLA/dvcbkrv/zh5y6/TKkYi44SCQXoZ0yjq1IaHFY/TtudVAo8/RqShzx1DbXboM6xu83gounsD\nhetuGsVajryOSJCv7fw2MSuxitMX5j7AlcWXj3GtRC6MgsHwisajvFH7NltObKe6o6Zfud+d1zNR\n2es6c6f5SHMTx7/1TeKtrWfdv2faNEo+ej/ey+cMe91F5MIoGKSXMY2iTm14WdEoLTu2E3jqCWIt\nzWfd1llYyIy//g6O7Oyzbpdpfrb/l7zTkJh/sbBsHg9c8bExrpHIhVEwGBmWZXG40WTLie282/R+\nv3KPw83yisVcP3UFRdkFADRv3ULDY48S7+x134Pu0YF46gkX39XzKPnIfbinlI/YexCRs1MwSC9j\nGkWd2siIh0I0v5To0Prd6bOXkt/7GAVrbxzFmo28N2r28stDvwLAbXfxveu+icehNcclcygYjLyT\nbdVsObGdN+veTjtReX7pXNZMX8n03KkcO/Aqp7Y+g62tA8uXTemK1Vw0/SoaHv0t7W++kbpjh4P8\n62+g6I67cOTkjOI7EhFQMBhIxjSKOrWRdfIfvp929aJuvqvnUfGFP8LmnDjX4YdiYb6646977o76\nwBUfY2GZ1huXzKFgMHqaupp56eROdlXvoSsW6ldeml1Mc6gl5W7LLruLG2es5taZawma71H/21/3\nm6Rs9/oouuNO8levmVDHV5HxTsEgvYxpFHVqI6vu4f+meeuLZ93GVVxC4R13kbd02YSZQPfLgw/z\nRu3bAFxVfDmfn/vAGNdI5PwpGIy+zmgnu6pf46WTO2kOtZxze4/Dw5/M/zzTcyuTc7xeoWHjI0Sb\nmlK2c5WVUXLvffjmXaO71IuMAgWD9DKmUdSpjaxQbS2nfvB3RBsD59zWPaWcorvWk7NgYcYHhHca\nDvGz/Q8B4LA5+O6KB/G5vGNbKZHzpGAwdmLxGG/W7ePFE9s41X76rNuurFzGfZfe3fM4HgrR9Pxz\nND77NFY4dZnU7Msup+Sjv0fW9BkjUm8RSVAwSC9jGkWd2sjrOHSAhsc2Ejr+IcTj2L1esi6+BLvX\nR/vre8BK/S9wT51G8d0b8F09L2PPcEXjUb6289sEo50AfOzSe1heuXiMayVyfhQMxp5lWfx8/3+y\nP3BwwG0KPPn8wZz7mJ1/ccqxMtrcRMPGR2l9ZVfq8dVmI2/ZCorX34MzX3dMFhkJCgbpZUyjqFMb\nHZZlETx8iEhDA97LLsNdWgZA+HQ1gSc20fb6a/1+JmvmxRTdvQHvnCsyMiA8/O6j7KreA4CRfwlf\nnv+5Ma6RyPlRMBgfXjqxg0eOPHnO7cp9ZayauoxFZfPJcnp6nu86/iH1v/kVneZ7KdvbPB4Kb76V\nghtvxu7x9N2diAyBgkF6GdMo6tTGh9DJEzQ8/hgdb+/tV5ZtXJoICMalY1CzwTObjvLDvf8CgA0b\nf7P86+R7/GNcK5FzUzAYH8KxCN9//YfUBOvOa/ssRxZLyhewsnIpZb5SoPsmlG9R/7vfEqmrTdne\nWVBI8YZ7yV28JOMv3xQZLxQM0suYRlGnNr50fvABgcc3Ejx4oF+Z94orKb57A1kzLx6Dml24uBXn\nwd3f7ZlIeM+s27lh+soxrpXIuSkYjB9Hmz/kN+89xqmOM/MNSrOLmVd6JcdaTvB+8wdpf+7yQoNV\nU5dxRdFl2G12rGiU5q1bCDz1OPFgMGVbz0UzKb3vfrJnGyP6XkQmAwWD9DKmUdSpjU9B8z0Cjz1K\n5/tmvzLfvGsovnsDnqnTxqBmF+bR959k68kdAEzPncqfL/rjMa6RyLkpGIwvsXiM12rfoiEYwO/x\ns7R8IS6HC4Dq9hq2ndrNa6ffTFnStFtRVgHXVS5lacUiclw+Yu3tBJ7YRPPLW/vdIC1n4SKK7/kI\n7pLSUXlfIhORgkF6GdMo6tTGL8uyCB48QMOmjf3W6MZmI3fRtRTdefe4vsvnidYqvv/Gj3oef3PJ\nn1HqLRnDGomcm4JB5glGOtlT8ybbq3ZT19nQr9xld7Kw7BpWTl3K9NyphE9XU//Ib+nY93bKdjan\nk/w16yi87Q4cXq2kJnKhFAzSy5hGUac2/iWukd1Lw6aNhE9VpRYmV9kouuNOXMXj7w9uy7L41qt/\n39NR3zZzHbfOXDfGtRI5OwWDzBW34rzb+D7bqnZzMPAuFv3/ey72z2Bl5TKuKb2K0LuJG6SFq06m\nbOPIyaXorvX4V67C5nCMVvVFMp6CQXoZ0yjq1DKHFY/T9sZrBB7fRKS2JrXQ4cB/3SqKbr8DZ37B\n2FRwAE9/8DzPfJi4yVuZt4QHF/9/GbnKkkweCgYTQ0NnIztOvcLu6td6lk7uLdedw4qKxSwvvxb7\n6/tp2PQosdbWlG3cFRWUfPT38F05d7SqLZLRFAzSy5hGUaeWeaxYjNZXdxN48nGiDalD5jaXi/zr\nb6Dg1ttw5uaNUQ1T1XbU8a09/9Dz+KuLvsy03MoxrJHI2SkYTCzhWJg3avexrWoXVe3V/crtNjtX\nl1zJyqIFFLxykObnn8OKRlO28V55FSUf+T08lTp2iZyNgkF6GdMo6tQylxWN0rJjO4GnnyDW3JxS\nZvN4KFh7IwU33ozD5xujGp7xvdd/yMm2UwCsnb6K9bNuG+MaiQxMwWBisiyLY63H2Va1m7fq9hO3\n4v22qfBNYXXOVUzf9T7B1/rcX8Zmw7/yeoruWo8zb3yceBEZbxQM0suYRlGnlvni4TAtL2+l8Zmn\nibW3pZTZs7MpuOkWCtauw56VPUY1hBdPbOOxI08DkO/x8+1lX8Nu07rhMj4pGEx8LaFWdlXvYeep\nV2kJt/Urz3ZmcUP8Yi7deYzYh8dTyuzZ2RTeegf5a9dhd7lGq8oiGUHBIL2MaRR1ahNHvKuLpi0v\n0LT52X7rdDtycim45VbyV6/B7naPet2aupp5cPd3eyYC/un8LzArf+ao10PkfCgYTB6xeIy36w+w\nrWo3R1uO9d/AsljdWMRVe6qxNafOP3AVl1B870fIWbBI86ZEkhQM0suYRlGnNvHEgh00Pf8cTS+8\ngBXqSilz+PMpuv0O8lasHPUzXf/nrZ9ypDnR8a6oXML9l24Y1dcXOV8KBpPTqfbTbKvazes1b/W7\nJ4IjZrH8CFz9TjP2cGpZ1qzZlHz0frIvzoybT4qMJAWD9DKmUdSpTVzRtlaannuG5q1bsCKpHZmz\nqIiiO+4ib+nyUVuKb8epV/n1exsB8Lm8fHf5gzjsWgZQxh8Fg8ktGAny6uk32HbqFRo6Ayll3s44\ny94JMudoEFuf//ncxUspvudeXIVFo1hbkfFFwSC9jGkUdWoTX7S5icDTT9Gy/WWIxVLKXGVlFN25\nntxF12Kzj+w1/+2RDr6289s9E/6+MPcBriy+fERfU2QwFAwEEvdEONxosq1qN4cC76XcE6GoMxhc\nvgAAHqxJREFUOcp1b7Uxoyb1pIvN7abgxpspvPlW7FlZo11lkTGnYJDeiDWKYRh24CfAXCAEfNo0\nzaO9yu8B/hywgP8xTfNHaXeUpE5t8og01BN46glad++CeOpqHO7KqRTdtZ6ca+aP6LWyP9337xwI\nvAvAorL5fPKK3xux1xIZLAUD6as+GEjcE+H063R23xPBsrioOsx1e9spbE096eLw+ylefw95y1aM\n+EkXkfFEwSC9kQwGG4DbTdP8lGEYi4GvmaZ5d7LMARwGFgAdwCFgmWmajQPtT53a5BOuqSHw5Cba\nXtsDVup/v2fGRRSv34D3iqtGJCC8XrOXhw79CgC3w833V3wDt2P0J0OLnI2CgQwkHAvzeu1etlXt\n5lT7aQDscYsrj3Sy5J0OskN9jqnTplNy3/14L9PoqEwOCgbpjWQw+AGwxzTN3yYfV5mmObVXud00\nzbhhGGXATuAa0zTbB9qfOrXJK1R1ksDjm2jf+2a/suzZBkV3b8B76WXD+ppd0RBf3fktIsmJfZ+6\n4uMsKLt6WF9DZKgUDORcLMviaMuHbK/azd76d4hbcTzhOIsOdDDP7MTR5xYJvnnXUHLvfbinTBmb\nCouMEgWD9EYyGPwCeNQ0zeeSj48DM03TjPfaZgPwY+Ap4PO9y/qKRKKW06kJoJNZ2/tHOPHwr2l+\na2+/Mv/Vc5nx8fvJvdQYttf7p1f+jd0n3gBgYeXVfGXF54dt3yLDwXYBw2U6hkpjZzMvHt3Ji0d3\n0NzVir8tyoq3O5h1MpS6ocNO+a23Mu2+e3Hl5o5NZUVG2IUcPyeTkR4xeNU0zd8lH580TXNamu1s\nwEPAS6ZpPjTQ/nS2S7p1vm/S8NijdJrv9Svzzb2aors3kDV9xpBfZ3/9Qf7lnf8AwGFz8L0VD+J1\neYe8X5HhohEDGYxoPNpzT4QPWj6koi7MyjfbKWuKpmxnZWdRcud6ClavweZ0jlFtRUaGRgzSG8lP\n+i7gDuB3hmEsAfZ3FxiGkQc8CawzTTNsGEYHEEu/G5FU2bMNpv7ZV+l89zANjz1C1wcf9JR17N9H\nx/595CxcRNGd6/FUVAz6deYUXYrXmU0w2knMStxcaFnFtcPxFkRExozT7mRh2TwWls3jZFs126t2\n82jZW1xytI3l+zrI6UwM3ts6u2j4za84/eLTTPnIxyhcsFg3SBOZ4EZyxMDGmVWJAB4gMdk4xzTN\nXxiG8RngD4EIsA/4kmmaA57R0tkuSceyLDr27yOw6VFCJ0+mFtps5C1ZRuGdd+EuKR3U/v/n8CPs\nPv0aAEbBLL58zWeHWmWRYaMRAxkuHZEgr5x+nV3HdjHz7VMsONSBq8/putbpxZR+9H6mX7ZgbCop\nMow0YpBexjSKOjU5Gysep/2tNwhseoxwzenUQocD//LrKLz9TlyFhRe0X7PpCD/c+3MAbNj4zvK/\nwO/JG65qiwyJgoEMt7gV51DgPV599yWKt+1nzrHUu9JbwMnLSyi6az1zL16smz9KxlIwSC9jGkWd\nmpwPKx6nbc8rBJ7YRKS+PqXM5nTiv341hbfcjtPvP6/9xa04f7nrO7SE2wC4Z/Yd3DDtumGvt8hg\nKBjISKoL1vP6m8/ge243FbWpE5TDThsHriogf92NLJ2xHL9Hk5QlsygYpJcxjaJOTS6EFY3Ssmsn\njU89QbQp9fYYNreb/DXrKLzpFhw5Oefc16PvP8nWkzsAmJE3ja8s/NKI1FnkQikYyGjoiobY//JG\nnM+8RE5rOKWszWvnlXl5+K5dxKppK5iZN13zECQjKBiklzGNok5NBiMeCdOy7WUan36KWFtrSpk9\nO5uCG28mf+2NOLKzB9zH8daT/N0b/9zz+JtLvkKpt3jE6ixyvhQMZDTFwmGOPvM7os+/hDOcuoJR\nTZGT7fNzcF48k5WVy1hYNg+3wzVGNRU5NwWD9DKmUdSpyVDEQyGat75I47PPEA92pJTZfT4Kb76N\n/BvWYPd4+v2sZVk8uPtvaQq1AJDtzGJ2/iWsrFzK5UXDd98EkQulYCBjIdbWxqnHfkvnjp3Y+tyV\n3pzuYde8HGL5uSytWMR1lUvJc+ey+fhW3m86Slc0RHF2IUvKFzK35IoxegciCgYDyZhGUacmwyEW\nDNL0wmaaX9hMvCt1Up0jL4/C2+7Av/J67K4zZ7pOtFXxo7d+TmcsdXuf08fHL7uHq0uvHJW6i/Sl\nYCBjKVRdTd3vfk3nO/tTno/a4e3LvLx+hZeIy4HP5aU9knpCxuNwc+fFt3D9tOWjWWWRHgoG6WVM\no6hTk+EUa2+n8blnaN76IlY49ZpZZ2EhhbffiX/ZCmxOJ/924H94q25f2v3Myr+YP52vOyLL2FAw\nkPGg4+AB6n/7a8KnqlKeD3psvDI3h4OXZJETjHHlkS5cUYuA38HhS7Ip8BbxF4v/XzwO9xjVXCYz\nBYP0MqZR1KnJSIi2NNP4zNO0bHsJK5p6zayrpJTCO+/iB7FtBMLNOGIWs0504YhZHJnmIexJLNM3\nyz+Ti/zTqfBNoTKnnDJfKS677hIqI0/BQMYLKx6nZcd2Aps29pvP1ZFlwxm18PQ6xNYWOHhhSR65\nMy5hQelcpuZWUJlTgU93l5dRomCQXsY0ijo1GUmRxgCNTz1By84dEI+nlDXnu6kusFFeF6agI/Fr\n2JZtx5zhYec1OdBnBQ67zU6Zt6QnKFTkJL4WePK1WocMKwUDGW9inZ00Pfs0Tc8/1+9kS1+nip08\nsq4g5Rha4Mlnam45U3MqEv9yKyjMKsBus4901WWSUTBIL2MaRZ2ajIZwbS2BJzfRtudVsM7+KxcH\nXrvSy565517yFBKTlvuGhXLfFLKdWcNQc5mMFAxkvIo01NOw8RHaXtsz4DZx4L2LPBwv99CS46A1\nx0Ewy9bvZEuWw0NlTjlTcxNhoTKnnArfFFxa9UiGQMEgvYxpFHVqMppC1acIPP4Y7W++cdbtwl4P\ngTuXU+Xp4kN7M6dDASwu7Fe1KKsgERR8ZwJDSXax7igq56RgIOPd+9/8Otap6vPePuKgJyS0JP+1\n+hw9z0WdiV/57pHZ7qDQHRpy3ed3okZEwSC9jGkUdWoyFjo/PMbJ730HzjEk3s3h92MV+OnM9dDq\ns1PniVDlClLrCdPmO9OpnYvT7qTcW0pFr9GFCl85ee4cXY4kPRQMZLyr/umPz3mC5UJ0ZNmTIcHe\nExy6Q0N7th2/x09ln0uRSrKLdCmS9KNgkJ5mSIqcRdaMi3AWFBKtrzuv7WMtLdDSggcoSf7rvVJ3\nzJtFZ56HFq+NOk+EZq+NNl+iU2vz2Qm7Ep1XNB7lZHs1J9tTz7TluHxU5JRTmTOFCl/ia7mvDLdW\n9RCRcShnwSLa394LsVi/MkduHlkXX0ykoYFIQz1WKHTO/fm64vi64lQ09C+L2qHN10hLzglachzs\nzXGwLcdOMNdDzpSplBVNSwaGcipyyrUakkgaGZOWdLZLxkrNv/8rrbt3pi2zZ2djc7mItbamLb9Q\nIbedFp+dVp89ERh8juRXO60+ByF3/+tvbdgo8RalXIpU4SunKFsT9iY6jRhIJqj7zcM0v/wSRCI9\nzzlLS5nyyU/hNS4DEjeSjLW1EamvI9JQT6S+/szX+nqiTY3nnPd1Lp0eGy3JEzGtOQ7ihX6yS8vJ\nL5/BlMrZTPVPJc+dq1HZSUIjBullTKOoU5OxEgk0cOqf/4lwVeoa3c6iYso//TmyZ88mHg4TbQwk\nznwFAkQDDUQCDUQaGog2Bog2Nw+5UwMIOW20JUNC90hD7xDR6TkTHNwOd3Ky85nRhYqcci0HOIEo\nGEimCL7/Hm17XiXe1YWrtIz8Netw+nzn/fNWNNpzTI3U1/UJDnXEOzuHVL+4Ddq8djryPMQK8nCX\nlJI7ZSrFlZdQOnU2rtw8BYYJRsEgvYxpFHVqMpYizc00PfcMXceOYsXjeKZNp2DNjXgqK8/r561o\nlEhj45nAEAgQbej+voFoU1O/ZVIHVU8HvUYaEgGitdfjjmw7+Vn5/SY7l3lLcOreCxlHwUAkIdbR\nkQwLqaEhVF9HLBAY8vE14rYT9ufgKCokqywxyuCbUoGruBRnURF21+BXSLLicUJVJ7FicbJmzMBm\n10jvaFAwSC9jGkWdmkxkVixGtLmpf2AIJEchGgNpr9G9UFE7tHsTE/dafQ7akt+3+1x4SkopKJ1K\nZW5lT2DI9/jPeZYsHolw7PlNNH3wHnaXk4tW3EzhlfOGXFc5NwUDkXOzYjGiTY09ow2hujraak4S\nqq+FxmacwXPPbTjr/gH8ubhLSskqLcddUoKruARXSeKfI2/g42jLrh00b91C6MRxsCzcU6fhX7GS\ngrXrhlQnOTcFg/QyplHUqclkZsXjRFtaekYcegJDr8dWr+t3B6t7OL3n0qRcD86iIrwl5RSUz6Cs\n4hIq/ZVkJe+90H66ind/9H3y6tt69hG1Q+dVs5j/xa/rzNcIUzAQGbp4Vyfh+npaTh8ncOoDOmqr\niTY04Gxqw9cWxjnEwVyby42rpDgZFkoTgaG4hFDNaQJPPg59J107nZTe9zHyV98wtBeWs1IwSC9j\nGkWdmsjALMsi1tqaOr8hJUAEsEJdQ38doN1rpzPHQ7wgj5zqRnLa+gcSCwjduoq5Gx4Y8mvKwBQM\nREZWZzhIdc0R6k4eobXmBKG6WmyNzeS2R8lrj5HTOfRLQNOxlxRT+Zkv4CoswpGXp5MsI0DBIL2M\naRR1aiKDZ1kW8Y6OMxOiAwEijQ09ow7hhnroHHpw6K3T6yT3hjUUVM7EO6USV2kpdo9nWF9jslMw\nEBl9sXiM+s4GqtpPc6rxBI2nP6Sjthp3czv+9hh5HbHE1/Y47ugwfOwcDpz+fJyFhbgKCnAWFOIs\nKMBZWJj8vhCn36/wcIEUDNLLmEZRpyYysmLBYCIwJEcbOupO01F3ikgggK2pBVfn0C9Vivg8WEUF\nuEpK8ZVPJa98Ou6yMlwlpTguYIUSSVAwEBk/WkJtnGqvpqq9mqq2ak61VdPaVEdecnTB394dGBJf\nc4Px4fsjzG7H4ffj6hUWekJEYTJI+POxORzD9YoZT8EgvYxpFHVqImMrHgoRqq+j4fQHNJ0+TssH\nJsUHq3AM0yczlu2GokLcpWXklE8ju6wcV2lpIjTkaanAdBQMRMa3cCxMdUdNIii0n06EhvbThGNh\nbtnehFGV/oRLxJH4A8059DUnelg2G/GcbCx/Lvb8fJwFBbgLi8guKiW7qAxPcXEiPDgnxwp1Cgbp\nZUyjqFMTGV8sy2LH3/wpU4439yuLA7WlHsIOC39bYmjdPoRPcNztwl5ciKd0Ct4plbhLyxKhobQU\nZ37BpB1CVzAQyTxxK059MMDDL/4zK7ZW4e9InafQnmVj89I8qqa4yQpb5ARj5ATj5ATj5PZ8n5jf\nkNsRwzWc4QEIeZ2EcrKI5GYT9+dg+XNx5OfjLCgiq6iIrMJSfNm5+FxevE4vbsfgl2o9m9PttWyr\n2k1tsA6Xw8WlBbNYNXXZsC2trWCQXsY0ijo1kfHHPPoW9f/6c0rqz8xPCDug5vIprPyjb2G322no\nbKS2rYbA6WO011QRrq3FFmjC1xrC35YYUh/Kqh+W04GjuCixTGDZFNylpbhKE5cnuYqKJvTQuYKB\nSOZ6+tgLvP7GM8x/N0hZYwSbBXUFTt6+1EvFlYtYWr6IjmiQYKSTYDRIRyTxfe/nguEOosEgWR3h\nngCREh6CcXKDwzTXoZdglo22bAftXjtBn5NwThaRPC9WXi62/DzsBflkZ+X0hAefKxuv04vXld3z\nXJbTg92W/qTOwcC7PHz4UTzV9UytjRBx2jh8cRazyy7ns3M/gWsYwoGCQXoZ0yjq1ETGp/q2OvZt\n/hWcPA0uB+7581m25K6zntWxLIv2SAe1wXpq22tprD1BR00Vkbo6HI2t+Ntj5CdDw5A6NLsdR1ER\nntIyXKVlqaGhpBi7yz34fY8DCgYimStuxfnVuxt5q24fXbHEkqUuu4u5xXP4gzn3XdCZ8XAs0is8\nBOmIdqYEiq72FuLNzVjNrdha23G2duBu6yK7I0JOMDHfwRMZ5vDgsdHuddCebU989dlp6/7ea6fD\n68SdlQgLXpcXXzI4eJ3ZHDy1j6XbqplWE8adHBFp8drZe5mXabfczS0z1w65fgoG6WVMo6hTE5kc\nIvEoDZ0BajvqqO2oo7HhFMGaU0Qb6vE2d5HfHsPfFiO/PUZWeAiHBZsNZ0HBmcBQkrg8yZ2c12DP\nyhq+NzVCFAxEMt+p9hr21u0jblnMLZ7DRf7po/basXiMzmgXHdEgHW1NBAN1hBsbiDQ2Em9uhpZW\n7K0dOFuDeNq7cIeG8boloNNt6wkK7V477dkO2nx25nzQxdS6/vMvwk7Yt87g4/d8fcivrWCQXsY0\nijo1kcnNsixaw+3UBeuoCdZTF6ynofEUXTWnsQWaei5L6g4Ovq6hrS/u8PtxlZSeGWUoLcVdkvj+\nfFdQ6jx6hJad24k2N+Pw5ZC7eAk5V80dUr16UzAQkdEUD4WINjURaQzQ2VhPZ0MiSESbmog3N2Nr\nacMeHN6lr/s6NdPP6r/44ZD3o2CQXsY0ijo1ERlIJBahrrMhcWlSRz21wXoCzafpqqvB29KZWCYw\nOcqQ35YYNh8Ku8+XDA3dowzJy5NKz6yg1Lx1C/UbH8Hq6jzzg04nBetupuSee4f4jhMUDERkvImH\nw0Sbmog2NfZ8jXQ/bmwk0tRIvK1t0PtvK8llwXf/ecj1VDBIb3KsSSUiE5rL4aIyp5zKnPKU5y3L\noiXcSl2wnpqOemqDdRwO1lPfWks80Ii/LdozwtA9r+F8VlCKd3QQ6jhG6MNj/cpsnixcRYWE62oh\n2mfYPRql8cXn8M2di3e2MdS3LSIy7tjdbtxlZbjLygbcJh6JEGtuJtLUmAwMZ4JEqDq5SMUAP+vN\nLRiZigswgsHAMAw78BNgLhACPm2a5tFe5fcDXwaiwDvA/zJNU2e0RGTY2Gw28j1+8j1+jIJZKWXh\nWJi6YHKUIVjHqWA9bwXrqW+vw9PamTLC4O8VHs61gpIV6iJcXT1wnSJRGna+zHQFAxGZpOwuF/aS\nElwlJf3KLMvi+Hf+mvCHH6b92dK5C0e4dpPbSI4Y3A24TdNcZhjGYuAHyecwDCMb+DZwpWmaXYZh\nPAzcDjw5gvUREenhdriZmlvB1NyKlOcty6I51JIMDInQ8H7y8qTmziZyOuNnLk3qNdJwISso1TSe\nZPSmF4qIZA6bzUbJ+nupfejfiTY1ppT55l5N4c23jlHNJoeRDAbLgecATNPcYxhG74jXBSw1TbN7\nhooT6EREZIzZbDYKsvIpyMrnssLZKWWhWJi6YH1ixaRkcDie/BqJhfF2JULDFUc6ueJYaMDXaMuZ\nuPdWEBEZKt8VV1L5v79Cy5YXCNXWYHe78V4+h/xVqyfNnZnHyki2bh7Q2utxzDAMu2ma8eQlQ/UA\nhmF8CfCZpvniCNZFRGTIPA4303IrmZZbmfJ83IrT1NWSmMsQrOONGW9S8sh+Spv7L+3X6rXTtFCX\nEYmInI1nyhRKP/77Y12NSWckg0ErkNvrsd00zZ6rc5NzEP4OmAXcc66dFRR4cTp1lk1Exqcy/FyW\nvEDopjnL+V7dgyzcWUNpY5Tue3s25DnYszCfBxbdSElR7sA7GwE6hoqIyLmMZDDYBdwB/M4wjCXA\n/j7l/0LikqL15zPpuKkpOPw1FBEZETYWL7iDTf6nqTzaTEFrlHavg6OX5LJm5mry48XU1w9+ub7B\n0DFURETOZcTWcDUMw8aZVYkAHgAWADnAG8l/23v9yA9N09w00P60BreIZJqqtmp2Vu+hJdSKz+Vl\n8ZT5zC64ZNj2r/sYiIgMju5jkF7GNIo6NRGRVAoGIiKDo2CQnv3cm4iIiIiIyESnYCAiIiIiIgoG\nIiIiIiKiYCAiIiIiIigYiIiIiIgICgYiIiIiIoKCgYiIiIiIoGAgIiIiIiIoGIiIiIiICAoGIiIi\nIiKCgoGIiIiIiKBgICIiIiIiKBiIiIiIiAgKBiIiIiIigoKBiIiIiIigYCAiIiIiIigYiIiIiIgI\nCgYiIiIiIoKCgYiIiIiIoGAgIiIiIiIoGIiIiIiICAoGIiIiIiKCgoGIiIiIiKBgICIiIiIiKBiI\niIiIiAgKBiIiIiIigoKBiIiIiIigYCAiIiIiIigYiIiIiIgI4BzpFzAMww78BJgLhIBPm6Z5tM82\nXuAF4FOmab430nUSEREREZFUozFicDfgNk1zGfBV4Ae9Cw3DWAhsB2YC1ijUR0RERERE+hiNYLAc\neA7ANM09wMI+5W4S4UEjBSIiIiIiY2Q0gkEe0NrrcSx5eREApmnuNk2zahTqISIiIiIiAxjxOQYk\nQkFur8d20zTjF7qT0tI82/BVSURkctExVEREzmU0Rgx2AbcCGIaxBNg/Cq8pIiIiIiIXYDRGDB4D\n1hmGsSv5+AHDMO4HckzT/MUovL6IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiJyHCbt8nWEY\ni4Hvmaa52jCMWcBDQBw4AHzRNE3LMIzPAJ8FosDfmKb5tGEY2cB/AyVAG/AJ0zQbxuRNjADDMFzA\nvwMzAA/wN8Bh1D4YhvEW0JJ8+AHwXSZ5uwz35yi5Mtk/Jbd93jTNb43+uxqakfoMjae20fEzPR0/\nz07H0FQ6fvY3GY6fmW40lisddYZhfAX4BYlfOoB/BL5umuZKEmHoLsMwpgBfApYBNwHfNQzDDXwB\n2Jfc9j+Bvxzt+o+wjwP1yfd3M/B/gR8wydvHMIwsANM0Vyf//SGT/PdmhD5HPwPuN01zBbDYMIx5\no/aGhs9IfYbGRdvo+HlWOn4OQMfQVDp+DmhCHz8nggkZDIAjwAbOjIjMN01ze/L7Z4G1wCJgl2ma\nEdM0W5M/MxdYDjyX3Pa55LYTye+AbyS/twMR1D4AVwNewzA2G4axJXn2YbK3y7B+jgzDyAXcpmke\nSz6/mcxsp2H/DI2zttHxc2A6fg5Mx9BUOn6mN9GPnxlvQgYD0zQ3khhO6tb7kqk2wA/kcWbIs+/z\nrX2emzBM0+wwTbM9+UH6HYm03fv3YLK2Twfw96Zp3gR8HvifPuWTrl1G4HPU+7nez2eUEfoMjZu2\n0fFzYDp+npWOob3o+JneRD9+TgQTMhikEe/1fR7QTOKXKLfX87lpnu9+bkIxDGMasBX4T9M0f4Xa\nB8Ak2ZGZpvk+EADKepVP1nbpbai/J3237d5HxhmBz9B4bhsdH3rR8XNAOoae3UQ+RlyQSXb8zDiT\nJRjsNQxjVfL7W4DtwGvAdYZheAzD8AOXk5j0sgu4tc+2E4ZhGGXA88BXTNN8KPm02gceIHGdI4Zh\nVJA4yDyvdkkxpN8T0zTbgLBhGBcbhmEDbiQD22kkPkPjvG10fEjS8fOsdAw9u4l8jDhvk/D4mXGc\nY12BEWYlv/5v4BfJiSuHgEeSM95/BOwgEZC+bppmyDCMnwL/YRjGDiAEfGwsKj6Cvk5iiO0bhmF0\nX+f3ZeBHk7x9/g34pWEY3QeTB0ic8dLvzfB+jrovMXAAm03TfH0038gwGanP0HhrGx0/+9Pxc2A6\nhqan42eqyXL8FBEREREREREREREREREREREREREREREREREREREREREREREREREREREREZEMYxjG\ny71upjKU/XzSMIxfpnn+Q8Mwpg91/yIi442OnyIT22S587FIb9a5NxnSfoZr/yIi442OnyIT2ES/\n87EIhmF8H7gbiAI/Tz79acMwfgAUAF82TfMpwzAeAl4yTfM/kj8XN03TbhjGXwGVwCxgBvCvpmn+\nLWDr9Rr/BygFfr/Xcw7g74FVJO7G+JBpmv9kGMb1JO7+2EHiNu/vAB8zTTMyMi0gIjI4On6KTC4a\nMZAJzTCMjwDLgCuBa4FPAlOAJtM0FwJ/DHTflv1sZ6quAtYBi4GvGobh794+2fFVAL9vmmY8ub0N\n+Axgmaa5IPlzdxmGsSJZvhT4IomObTpw01Dfq4jIcNLxU2Ty0YiBTHQrgd8kzyZFgGsMw3gJ2JQs\nPwQUn8d+tpqmGQXqDcNoBPwkOq9bgSJgUa9Ordta4GrDMG5IPvaR6GAPAwdM06wGMAzjMFA42Dco\nIjJCdPwUmWQUDGSii5A6ZH0RiQ4mmnzK6lXe871hGK5e+7CAUJ/H3T9zDPgq8BMSZ7F6swN/Zprm\npuQ+S4A2YAnQNcD+RETGCx0/RSYZXUokE912YINhGE7DMLzAZhLXu6bTAFyR/P7uXs+frdM5bJrm\nL4EOwzD+qE/ZVuCzydfOBXaQGI4XEckEOn6KTDIKBjKhJc827QLeAl4D/hF4r89m3dfG/hRYZRjG\nPhLX1Vb3Krf6bG/1ef4LwIOGYVT22uZnwPvA3uRr/5tpmtvT7I80j0VExpSOnyIiIiIiIiIiIiIi\nIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKT2P8PCP565FtF/JkA\nAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x7f4f96c798d0>"
]
}
],
"prompt_number": 33
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark BLZ read contiguous rows"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_blz_read_rows = [['compression', 'chunklen', 'shuffle', 'time']]\n",
"for i, (bparams, kwargs) in enumerate(blz_configurations):\n",
"# log(i, bparams, kwargs)\n",
" k = str(i)\n",
" fn = '/tmp/%s.blz' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" before = datetime.now()\n",
" b = blz.barray(rootdir=fn, mode='r')\n",
" a = b[500000:600000, :]\n",
" after = datetime.now()\n",
" compression = b.bparams.clevel\n",
" shuffle = b.bparams.shuffle\n",
" chunklen = b.chunklen\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunklen, shuffle, elapsed]\n",
" tbl_blz_read_rows += [row]\n",
"\n",
"tbl_blz_read_rows = etl.wrap(tbl_blz_read_rows)\n",
"df_blz_read_rows = tbl_blz_read_rows.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 34
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunklen', y='time', hue='compression', col='shuffle', data=df_blz_read_rows, kind='point')\n",
"grid.fig.suptitle('BLZ read rows', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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hpJpfvLib/KKqIEYmhBDWZLPZmDsxlfS0uFb3qa6t57OjF7sxKiGEuDySFPRB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\niIiIiIiIiIiIiIiIiIiIiIiIiAwy/x/LMAM3doAFrwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f4f970b57d0>"
]
}
],
"prompt_number": 35
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark BLZ read rows with step"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"tbl_blz_read_rows_step = [['compression', 'chunklen', 'shuffle', 'time']]\n",
"for i, (bparams, kwargs) in enumerate(blz_configurations):\n",
"# log(i, bparams, kwargs)\n",
" k = str(i)\n",
" fn = '/tmp/%s.blz' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" before = datetime.now()\n",
" b = blz.barray(rootdir=fn, mode='r')\n",
" a = b[::100, :]\n",
" after = datetime.now()\n",
" compression = b.bparams.clevel\n",
" shuffle = b.bparams.shuffle\n",
" chunklen = b.chunklen\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunklen, shuffle, elapsed]\n",
" tbl_blz_read_rows_step += [row]\n",
"\n",
"tbl_blz_read_rows_step = etl.wrap(tbl_blz_read_rows_step)\n",
"df_blz_read_rows_step = tbl_blz_read_rows_step.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 36
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid = sns.factorplot(x='chunklen', y='time', hue='compression', col='shuffle', data=df_blz_read_rows_step, kind='point')\n",
"grid.fig.suptitle('BLZ read rows step', fontsize=16);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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5+RvZdaCklS2FEKJnkMSgBwoP9ueR6yYyZnBTm9l9OWU8PW8jhYervRiZEEJ0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"text": [
"<matplotlib.figure.Figure at 0x7f4f96df0790>"
]
}
],
"prompt_number": 37
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Benchmark BLZ row sparse selection - not implemented"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"selection = random_selection(n_variants, n_variants//1000)\n",
"tbl_blz_select_rows = [['compression', 'chunklen', 'shuffle', 'time']]\n",
"for i, (bparams, kwargs) in enumerate(blz_configurations):\n",
"# log(i, bparams, kwargs)\n",
" k = str(i)\n",
" fn = '/tmp/%s.blz' % k\n",
" sh.sudo.drop_cache()\n",
" gc.collect()\n",
" before = datetime.now()\n",
" b = blz.barray(rootdir=fn, mode='r')\n",
" a = b[selection]\n",
" after = datetime.now()\n",
" compression = b.bparams.clevel\n",
" shuffle = b.bparams.shuffle\n",
" chunklen = b.chunklen\n",
" elapsed = (after-before).total_seconds()\n",
" row = [compression, chunklen, shuffle, elapsed]\n",
" tbl_blz_select_rows += [row]\n",
"\n",
"tbl_blz_select_rows = etl.wrap(tbl_blz_select_rows)\n",
"df_blz_select_rows = tbl_blz_select_rows.todataframe()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "NotImplementedError",
"evalue": "`self` is not unidimensional",
"output_type": "pyerr",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mNotImplementedError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-38-316d5cf84540>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 9\u001b[0m \u001b[0mbefore\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 10\u001b[0m \u001b[0mb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mblz\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrootdir\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'r'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 11\u001b[1;33m \u001b[0ma\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mselection\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 12\u001b[0m \u001b[0mafter\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[0mcompression\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbparams\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclevel\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m/home/aliman/pyenv/science/local/lib/python2.7/site-packages/blz/blz_ext.so\u001b[0m in \u001b[0;36mblz.blz_ext.barray.__getitem__ (blz/blz_ext.c:21281)\u001b[1;34m()\u001b[0m\n",
"\u001b[1;32m/home/aliman/pyenv/science/local/lib/python2.7/site-packages/blz/blz_ext.so\u001b[0m in \u001b[0;36mblz.blz_ext.barray.where (blz/blz_ext.c:25444)\u001b[1;34m()\u001b[0m\n",
"\u001b[1;31mNotImplementedError\u001b[0m: `self` is not unidimensional"
]
}
],
"prompt_number": 38
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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