145 lines
4 KiB
Python
145 lines
4 KiB
Python
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#!/usr/bin/env python3
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import csv
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import re
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class HelperFunctions:
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def get_fs(dir):
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if dir.endswith('dwarfs'):
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return 'DwarFS'
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elif dir.endswith('fuse-archive-tar'):
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return 'fuse-archive (tar)'
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return 'Btrfs'
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def get_label(filename):
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if filename == '25G-null.bin':
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return 'Null 25 GiB file'
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elif filename == '25G-random.bin':
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return 'Random 25 GiB file'
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elif filename == '100M-polygon.txt':
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return '100 million-sided polygon data'
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elif filename.startswith('kernel'):
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return 'Linux LTS kernel'
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def convert_time(time: str, unit: str) -> int:
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unit_exponents = ['ns', 'µs', 'ms', 's']
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if time.endswith('ms'):
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current_unit = 'ms'
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elif time.endswith('µs'):
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current_unit = 'µs'
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elif time.endswith('ns'):
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current_unit = 'ns'
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else:
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current_unit = 's'
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unit_multiplier = unit_exponents.index(current_unit) - unit_exponents.index(unit)
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return HelperFunctions.time_int(time) * (1000 ** unit_multiplier)
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def time_int(time: str):
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time = re.sub("[^0-9\\.]", "", time)
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return float(time)
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def sequential_latency():
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datasets = {'labels': []}
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with open('assets/benchmarking-dwarfs/original-data/benchmark-data.csv', 'rt') as f:
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for line in csv.reader(f):
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fs = HelperFunctions.get_fs(line[0])
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label = HelperFunctions.get_label(line[1])
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datasets['labels'].append(label) if label not in datasets[
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'labels'
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] else False
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try:
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datasets[fs].append(line[3])
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except KeyError:
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datasets[fs] = []
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datasets[fs].append(line[3])
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return datasets
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def singles():
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pass
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def bulk():
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pass
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if __name__ == '__main__':
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# from https://github.com/chartjs/Chart.js/blob/master/docs/scripts/utils.js (CHART_COLORS)
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# modified so similar color aren't adjacent
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chart_colors = [
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"'rgb(255, 99, 132)'", # red
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"'rgb(75, 192, 192)'", # green
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"'rgb(54, 162, 235)'", # blue
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"'rgb(255, 159, 64)'", # orange
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"'rgb(153, 102, 255)'", # purple
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"'rgb(255, 205, 86)'", # yellow
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"'rgb(201, 203, 207)'", # grey
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]
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print('Sequential latency:')
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labels_code = 'const labels = $labels$'
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dataset_code = '''
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{
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label: '$label$',
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data: $data$,
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backgroundColor: $color$,
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},'''
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config_code = '''
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let config = {
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type: 'bar',
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data: {
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datasets: data,
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labels
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},
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options: {
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plugins: {
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title: {
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display: true,
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text: '$title$ - in $timeunit$'
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},
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},
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responsive: true,
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interaction: {
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intersect: false,
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},
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}
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};
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'''
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data = sequential_latency()
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labels_code = labels_code.replace('$labels$', format(data['labels']))
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print(labels_code)
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data.pop('labels')
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print('let data = [', end='')
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largest_time_unit = 'ns'
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for fs in data.keys():
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for item in data[fs]:
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if item.endswith('ms'):
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largest_time_unit = 'ms'
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elif item.endswith('µs') and largest_time_unit != 'ms':
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largest_time_unit = 'µs'
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elif item.endswith('ns') and largest_time_unit != 'ms' and largest_time_unit != 'µs':
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largest_time_unit = 'ns'
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elif re.sub('[0-9]', '', item) == 's':
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largest_time_unit = 's'
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break
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for i in range(len(data[fs])):
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data[fs][i] = HelperFunctions.convert_time(data[fs][i], largest_time_unit)
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print(
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dataset_code.replace('$label$', fs)
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.replace('$data$', format(data[fs]))
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.replace('$color$', format(chart_colors[list(data.keys()).index(fs)])),
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end=''
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)
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print('\n]\n')
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title = 'Sequential Read Latency'
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print(config_code.replace('$title$', title).replace('$timeunit$', largest_time_unit))
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