mirror of
https://gitee.com/openharmony/third_party_benchmark
synced 2024-12-11 17:23:40 +00:00
56fd56dc02
* Refactor U-Test calculation into separate function. And implement 'print_utest' functionality in terms of it. * Change 'optimal_repetitions' to 'more_optimal_repetitions'.
542 lines
20 KiB
Python
542 lines
20 KiB
Python
import unittest
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"""report.py - Utilities for reporting statistics about benchmark results
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"""
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import os
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import re
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import copy
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from scipy.stats import mannwhitneyu
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class BenchmarkColor(object):
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def __init__(self, name, code):
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self.name = name
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self.code = code
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def __repr__(self):
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return '%s%r' % (self.__class__.__name__,
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(self.name, self.code))
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def __format__(self, format):
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return self.code
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# Benchmark Colors Enumeration
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BC_NONE = BenchmarkColor('NONE', '')
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BC_MAGENTA = BenchmarkColor('MAGENTA', '\033[95m')
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BC_CYAN = BenchmarkColor('CYAN', '\033[96m')
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BC_OKBLUE = BenchmarkColor('OKBLUE', '\033[94m')
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BC_OKGREEN = BenchmarkColor('OKGREEN', '\033[32m')
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BC_HEADER = BenchmarkColor('HEADER', '\033[92m')
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BC_WARNING = BenchmarkColor('WARNING', '\033[93m')
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BC_WHITE = BenchmarkColor('WHITE', '\033[97m')
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BC_FAIL = BenchmarkColor('FAIL', '\033[91m')
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BC_ENDC = BenchmarkColor('ENDC', '\033[0m')
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BC_BOLD = BenchmarkColor('BOLD', '\033[1m')
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BC_UNDERLINE = BenchmarkColor('UNDERLINE', '\033[4m')
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UTEST_MIN_REPETITIONS = 2
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UTEST_OPTIMAL_REPETITIONS = 9 # Lowest reasonable number, More is better.
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UTEST_COL_NAME = "_pvalue"
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def color_format(use_color, fmt_str, *args, **kwargs):
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"""
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Return the result of 'fmt_str.format(*args, **kwargs)' after transforming
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'args' and 'kwargs' according to the value of 'use_color'. If 'use_color'
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is False then all color codes in 'args' and 'kwargs' are replaced with
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the empty string.
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"""
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assert use_color is True or use_color is False
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if not use_color:
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args = [arg if not isinstance(arg, BenchmarkColor) else BC_NONE
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for arg in args]
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kwargs = {key: arg if not isinstance(arg, BenchmarkColor) else BC_NONE
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for key, arg in kwargs.items()}
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return fmt_str.format(*args, **kwargs)
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def find_longest_name(benchmark_list):
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"""
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Return the length of the longest benchmark name in a given list of
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benchmark JSON objects
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"""
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longest_name = 1
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for bc in benchmark_list:
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if len(bc['name']) > longest_name:
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longest_name = len(bc['name'])
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return longest_name
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def calculate_change(old_val, new_val):
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"""
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Return a float representing the decimal change between old_val and new_val.
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"""
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if old_val == 0 and new_val == 0:
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return 0.0
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if old_val == 0:
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return float(new_val - old_val) / (float(old_val + new_val) / 2)
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return float(new_val - old_val) / abs(old_val)
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def filter_benchmark(json_orig, family, replacement=""):
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"""
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Apply a filter to the json, and only leave the 'family' of benchmarks.
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"""
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regex = re.compile(family)
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filtered = {}
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filtered['benchmarks'] = []
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for be in json_orig['benchmarks']:
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if not regex.search(be['name']):
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continue
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filteredbench = copy.deepcopy(be) # Do NOT modify the old name!
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filteredbench['name'] = regex.sub(replacement, filteredbench['name'])
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filtered['benchmarks'].append(filteredbench)
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return filtered
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def get_unique_benchmark_names(json):
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"""
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While *keeping* the order, give all the unique 'names' used for benchmarks.
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"""
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seen = set()
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uniqued = [x['name'] for x in json['benchmarks']
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if x['name'] not in seen and
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(seen.add(x['name']) or True)]
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return uniqued
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def intersect(list1, list2):
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"""
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Given two lists, get a new list consisting of the elements only contained
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in *both of the input lists*, while preserving the ordering.
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"""
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return [x for x in list1 if x in list2]
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def is_potentially_comparable_benchmark(x):
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return ('time_unit' in x and 'real_time' in x and 'cpu_time' in x)
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def partition_benchmarks(json1, json2):
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"""
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While preserving the ordering, find benchmarks with the same names in
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both of the inputs, and group them.
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(i.e. partition/filter into groups with common name)
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"""
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json1_unique_names = get_unique_benchmark_names(json1)
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json2_unique_names = get_unique_benchmark_names(json2)
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names = intersect(json1_unique_names, json2_unique_names)
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partitions = []
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for name in names:
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time_unit = None
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# Pick the time unit from the first entry of the lhs benchmark.
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# We should be careful not to crash with unexpected input.
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for x in json1['benchmarks']:
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if (x['name'] == name and is_potentially_comparable_benchmark(x)):
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time_unit = x['time_unit']
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break
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if time_unit is None:
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continue
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# Filter by name and time unit.
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# All the repetitions are assumed to be comparable.
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lhs = [x for x in json1['benchmarks'] if x['name'] == name and
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x['time_unit'] == time_unit]
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rhs = [x for x in json2['benchmarks'] if x['name'] == name and
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x['time_unit'] == time_unit]
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partitions.append([lhs, rhs])
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return partitions
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def extract_field(partition, field_name):
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# The count of elements may be different. We want *all* of them.
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lhs = [x[field_name] for x in partition[0]]
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rhs = [x[field_name] for x in partition[1]]
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return [lhs, rhs]
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def calc_utest(timings_cpu, timings_time):
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min_rep_cnt = min(len(timings_time[0]),
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len(timings_time[1]),
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len(timings_cpu[0]),
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len(timings_cpu[1]))
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# Does *everything* has at least UTEST_MIN_REPETITIONS repetitions?
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if min_rep_cnt < UTEST_MIN_REPETITIONS:
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return False, None, None
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time_pvalue = mannwhitneyu(
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timings_time[0], timings_time[1], alternative='two-sided').pvalue
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cpu_pvalue = mannwhitneyu(
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timings_cpu[0], timings_cpu[1], alternative='two-sided').pvalue
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return (min_rep_cnt >= UTEST_OPTIMAL_REPETITIONS), cpu_pvalue, time_pvalue
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def print_utest(partition, utest_alpha, first_col_width, use_color=True):
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def get_utest_color(pval):
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return BC_FAIL if pval >= utest_alpha else BC_OKGREEN
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timings_time = extract_field(partition, 'real_time')
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timings_cpu = extract_field(partition, 'cpu_time')
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have_optimal_repetitions, cpu_pvalue, time_pvalue = calc_utest(timings_cpu, timings_time)
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# Check if we failed miserably with minimum required repetitions for utest
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if not have_optimal_repetitions and cpu_pvalue is None and time_pvalue is None:
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return []
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dsc = "U Test, Repetitions: {} vs {}".format(
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len(timings_cpu[0]), len(timings_cpu[1]))
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dsc_color = BC_OKGREEN
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# We still got some results to show but issue a warning about it.
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if not have_optimal_repetitions:
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dsc_color = BC_WARNING
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dsc += ". WARNING: Results unreliable! {}+ repetitions recommended.".format(
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UTEST_OPTIMAL_REPETITIONS)
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special_str = "{}{:<{}s}{endc}{}{:16.4f}{endc}{}{:16.4f}{endc}{} {}"
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last_name = partition[0][0]['name']
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return [color_format(use_color,
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special_str,
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BC_HEADER,
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"{}{}".format(last_name, UTEST_COL_NAME),
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first_col_width,
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get_utest_color(time_pvalue), time_pvalue,
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get_utest_color(cpu_pvalue), cpu_pvalue,
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dsc_color, dsc,
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endc=BC_ENDC)]
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def generate_difference_report(
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json1,
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json2,
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display_aggregates_only=False,
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utest=False,
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utest_alpha=0.05,
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use_color=True):
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"""
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Calculate and report the difference between each test of two benchmarks
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runs specified as 'json1' and 'json2'.
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"""
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assert utest is True or utest is False
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first_col_width = find_longest_name(json1['benchmarks'])
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def find_test(name):
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for b in json2['benchmarks']:
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if b['name'] == name:
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return b
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return None
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first_col_width = max(
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first_col_width,
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len('Benchmark'))
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first_col_width += len(UTEST_COL_NAME)
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first_line = "{:<{}s}Time CPU Time Old Time New CPU Old CPU New".format(
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'Benchmark', 12 + first_col_width)
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output_strs = [first_line, '-' * len(first_line)]
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partitions = partition_benchmarks(json1, json2)
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for partition in partitions:
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# Careful, we may have different repetition count.
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for i in range(min(len(partition[0]), len(partition[1]))):
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bn = partition[0][i]
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other_bench = partition[1][i]
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# *If* we were asked to only display aggregates,
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# and if it is non-aggregate, then skip it.
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if display_aggregates_only and 'run_type' in bn and 'run_type' in other_bench:
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assert bn['run_type'] == other_bench['run_type']
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if bn['run_type'] != 'aggregate':
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continue
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fmt_str = "{}{:<{}s}{endc}{}{:+16.4f}{endc}{}{:+16.4f}{endc}{:14.0f}{:14.0f}{endc}{:14.0f}{:14.0f}"
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def get_color(res):
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if res > 0.05:
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return BC_FAIL
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elif res > -0.07:
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return BC_WHITE
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else:
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return BC_CYAN
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tres = calculate_change(bn['real_time'], other_bench['real_time'])
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cpures = calculate_change(bn['cpu_time'], other_bench['cpu_time'])
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output_strs += [color_format(use_color,
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fmt_str,
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BC_HEADER,
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bn['name'],
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first_col_width,
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get_color(tres),
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tres,
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get_color(cpures),
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cpures,
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bn['real_time'],
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other_bench['real_time'],
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bn['cpu_time'],
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other_bench['cpu_time'],
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endc=BC_ENDC)]
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# After processing the whole partition, if requested, do the U test.
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if utest:
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output_strs += print_utest(partition,
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utest_alpha=utest_alpha,
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first_col_width=first_col_width,
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use_color=use_color)
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return output_strs
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###############################################################################
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# Unit tests
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class TestGetUniqueBenchmarkNames(unittest.TestCase):
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def load_results(self):
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import json
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testInputs = os.path.join(
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os.path.dirname(
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os.path.realpath(__file__)),
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'Inputs')
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testOutput = os.path.join(testInputs, 'test3_run0.json')
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with open(testOutput, 'r') as f:
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json = json.load(f)
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return json
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def test_basic(self):
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expect_lines = [
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'BM_One',
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'BM_Two',
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'short', # These two are not sorted
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'medium', # These two are not sorted
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]
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json = self.load_results()
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output_lines = get_unique_benchmark_names(json)
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print("\n")
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print("\n".join(output_lines))
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self.assertEqual(len(output_lines), len(expect_lines))
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for i in range(0, len(output_lines)):
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self.assertEqual(expect_lines[i], output_lines[i])
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class TestReportDifference(unittest.TestCase):
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def load_results(self):
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import json
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testInputs = os.path.join(
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os.path.dirname(
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os.path.realpath(__file__)),
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'Inputs')
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testOutput1 = os.path.join(testInputs, 'test1_run1.json')
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testOutput2 = os.path.join(testInputs, 'test1_run2.json')
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with open(testOutput1, 'r') as f:
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json1 = json.load(f)
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with open(testOutput2, 'r') as f:
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json2 = json.load(f)
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return json1, json2
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def test_basic(self):
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expect_lines = [
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['BM_SameTimes', '+0.0000', '+0.0000', '10', '10', '10', '10'],
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['BM_2xFaster', '-0.5000', '-0.5000', '50', '25', '50', '25'],
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['BM_2xSlower', '+1.0000', '+1.0000', '50', '100', '50', '100'],
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['BM_1PercentFaster', '-0.0100', '-0.0100', '100', '99', '100', '99'],
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['BM_1PercentSlower', '+0.0100', '+0.0100', '100', '101', '100', '101'],
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['BM_10PercentFaster', '-0.1000', '-0.1000', '100', '90', '100', '90'],
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['BM_10PercentSlower', '+0.1000', '+0.1000', '100', '110', '100', '110'],
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['BM_100xSlower', '+99.0000', '+99.0000',
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'100', '10000', '100', '10000'],
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['BM_100xFaster', '-0.9900', '-0.9900',
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'10000', '100', '10000', '100'],
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['BM_10PercentCPUToTime', '+0.1000',
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'-0.1000', '100', '110', '100', '90'],
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['BM_ThirdFaster', '-0.3333', '-0.3334', '100', '67', '100', '67'],
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['BM_NotBadTimeUnit', '-0.9000', '+0.2000', '0', '0', '0', '1'],
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]
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json1, json2 = self.load_results()
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output_lines_with_header = generate_difference_report(
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json1, json2, use_color=False)
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output_lines = output_lines_with_header[2:]
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print("\n")
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print("\n".join(output_lines_with_header))
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self.assertEqual(len(output_lines), len(expect_lines))
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for i in range(0, len(output_lines)):
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parts = [x for x in output_lines[i].split(' ') if x]
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self.assertEqual(len(parts), 7)
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self.assertEqual(expect_lines[i], parts)
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class TestReportDifferenceBetweenFamilies(unittest.TestCase):
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def load_result(self):
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import json
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testInputs = os.path.join(
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os.path.dirname(
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os.path.realpath(__file__)),
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'Inputs')
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testOutput = os.path.join(testInputs, 'test2_run.json')
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with open(testOutput, 'r') as f:
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json = json.load(f)
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return json
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def test_basic(self):
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expect_lines = [
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['.', '-0.5000', '-0.5000', '10', '5', '10', '5'],
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['./4', '-0.5000', '-0.5000', '40', '20', '40', '20'],
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['Prefix/.', '-0.5000', '-0.5000', '20', '10', '20', '10'],
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['Prefix/./3', '-0.5000', '-0.5000', '30', '15', '30', '15'],
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]
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json = self.load_result()
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json1 = filter_benchmark(json, "BM_Z.ro", ".")
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json2 = filter_benchmark(json, "BM_O.e", ".")
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output_lines_with_header = generate_difference_report(
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json1, json2, use_color=False)
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output_lines = output_lines_with_header[2:]
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print("\n")
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print("\n".join(output_lines_with_header))
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self.assertEqual(len(output_lines), len(expect_lines))
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for i in range(0, len(output_lines)):
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parts = [x for x in output_lines[i].split(' ') if x]
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self.assertEqual(len(parts), 7)
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self.assertEqual(expect_lines[i], parts)
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class TestReportDifferenceWithUTest(unittest.TestCase):
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def load_results(self):
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import json
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testInputs = os.path.join(
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os.path.dirname(
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os.path.realpath(__file__)),
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'Inputs')
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testOutput1 = os.path.join(testInputs, 'test3_run0.json')
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testOutput2 = os.path.join(testInputs, 'test3_run1.json')
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with open(testOutput1, 'r') as f:
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json1 = json.load(f)
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with open(testOutput2, 'r') as f:
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json2 = json.load(f)
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return json1, json2
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def test_utest(self):
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expect_lines = []
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expect_lines = [
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['BM_One', '-0.1000', '+0.1000', '10', '9', '100', '110'],
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['BM_Two', '+0.1111', '-0.0111', '9', '10', '90', '89'],
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['BM_Two', '-0.1250', '-0.1628', '8', '7', '86', '72'],
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['BM_Two_pvalue',
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'0.6985',
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'0.6985',
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'U',
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'Test,',
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'Repetitions:',
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'2',
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'vs',
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'2.',
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'WARNING:',
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'Results',
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'unreliable!',
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'9+',
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'repetitions',
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'recommended.'],
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['short', '-0.1250', '-0.0625', '8', '7', '80', '75'],
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['short', '-0.4325', '-0.1351', '8', '5', '77', '67'],
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['short_pvalue',
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'0.7671',
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'0.1489',
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'U',
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'Test,',
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'Repetitions:',
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'2',
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'vs',
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'3.',
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'WARNING:',
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'Results',
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'unreliable!',
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'9+',
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'repetitions',
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'recommended.'],
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['medium', '-0.3750', '-0.3375', '8', '5', '80', '53'],
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]
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json1, json2 = self.load_results()
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output_lines_with_header = generate_difference_report(
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json1, json2, utest=True, utest_alpha=0.05, use_color=False)
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output_lines = output_lines_with_header[2:]
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print("\n")
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print("\n".join(output_lines_with_header))
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self.assertEqual(len(output_lines), len(expect_lines))
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for i in range(0, len(output_lines)):
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parts = [x for x in output_lines[i].split(' ') if x]
|
|
self.assertEqual(expect_lines[i], parts)
|
|
|
|
|
|
class TestReportDifferenceWithUTestWhileDisplayingAggregatesOnly(
|
|
unittest.TestCase):
|
|
def load_results(self):
|
|
import json
|
|
testInputs = os.path.join(
|
|
os.path.dirname(
|
|
os.path.realpath(__file__)),
|
|
'Inputs')
|
|
testOutput1 = os.path.join(testInputs, 'test3_run0.json')
|
|
testOutput2 = os.path.join(testInputs, 'test3_run1.json')
|
|
with open(testOutput1, 'r') as f:
|
|
json1 = json.load(f)
|
|
with open(testOutput2, 'r') as f:
|
|
json2 = json.load(f)
|
|
return json1, json2
|
|
|
|
def test_utest(self):
|
|
expect_lines = []
|
|
expect_lines = [
|
|
['BM_One', '-0.1000', '+0.1000', '10', '9', '100', '110'],
|
|
['BM_Two', '+0.1111', '-0.0111', '9', '10', '90', '89'],
|
|
['BM_Two', '-0.1250', '-0.1628', '8', '7', '86', '72'],
|
|
['BM_Two_pvalue',
|
|
'0.6985',
|
|
'0.6985',
|
|
'U',
|
|
'Test,',
|
|
'Repetitions:',
|
|
'2',
|
|
'vs',
|
|
'2.',
|
|
'WARNING:',
|
|
'Results',
|
|
'unreliable!',
|
|
'9+',
|
|
'repetitions',
|
|
'recommended.'],
|
|
['short', '-0.1250', '-0.0625', '8', '7', '80', '75'],
|
|
['short', '-0.4325', '-0.1351', '8', '5', '77', '67'],
|
|
['short_pvalue',
|
|
'0.7671',
|
|
'0.1489',
|
|
'U',
|
|
'Test,',
|
|
'Repetitions:',
|
|
'2',
|
|
'vs',
|
|
'3.',
|
|
'WARNING:',
|
|
'Results',
|
|
'unreliable!',
|
|
'9+',
|
|
'repetitions',
|
|
'recommended.'],
|
|
]
|
|
json1, json2 = self.load_results()
|
|
output_lines_with_header = generate_difference_report(
|
|
json1, json2, display_aggregates_only=True,
|
|
utest=True, utest_alpha=0.05, use_color=False)
|
|
output_lines = output_lines_with_header[2:]
|
|
print("\n")
|
|
print("\n".join(output_lines_with_header))
|
|
self.assertEqual(len(output_lines), len(expect_lines))
|
|
for i in range(0, len(output_lines)):
|
|
parts = [x for x in output_lines[i].split(' ') if x]
|
|
self.assertEqual(expect_lines[i], parts)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|
|
|
|
# vim: tabstop=4 expandtab shiftwidth=4 softtabstop=4
|
|
# kate: tab-width: 4; replace-tabs on; indent-width 4; tab-indents: off;
|
|
# kate: indent-mode python; remove-trailing-spaces modified;
|