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⬆️ upgraded Catch and Google Benchmark

Browse source 
- Catch 1.12.0 -> 1.12.2
- Google Benchmark 1.3.0 -> 1.4.1
This commit is contained in:
Niels Lohmann 2019-01-13 11:29:39 +01:00
parent daeb48b01a
commit 06731b14d7
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GPG key ID: 7F3CEA63AE251B69
76 changed files with 2828 additions and 341 deletions
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102
benchmarks/thirdparty/benchmark/tools/gbench/Inputs/test1_run1.json vendored Executable file
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{
"context": {
"date": "2016-08-02 17:44:46",
"num_cpus": 4,
"mhz_per_cpu": 4228,
"cpu_scaling_enabled": false,
"library_build_type": "release"
},
"benchmarks": [
{
"name": "BM_SameTimes",
"iterations": 1000,
"real_time": 10,
"cpu_time": 10,
"time_unit": "ns"
},
{
"name": "BM_2xFaster",
"iterations": 1000,
"real_time": 50,
"cpu_time": 50,
"time_unit": "ns"
},
{
"name": "BM_2xSlower",
"iterations": 1000,
"real_time": 50,
"cpu_time": 50,
"time_unit": "ns"
},
{
"name": "BM_1PercentFaster",
"iterations": 1000,
"real_time": 100,
"cpu_time": 100,
"time_unit": "ns"
},
{
"name": "BM_1PercentSlower",
"iterations": 1000,
"real_time": 100,
"cpu_time": 100,
"time_unit": "ns"
},
{
"name": "BM_10PercentFaster",
"iterations": 1000,
"real_time": 100,
"cpu_time": 100,
"time_unit": "ns"
},
{
"name": "BM_10PercentSlower",
"iterations": 1000,
"real_time": 100,
"cpu_time": 100,
"time_unit": "ns"
},
{
"name": "BM_100xSlower",
"iterations": 1000,
"real_time": 100,
"cpu_time": 100,
"time_unit": "ns"
},
{
"name": "BM_100xFaster",
"iterations": 1000,
"real_time": 10000,
"cpu_time": 10000,
"time_unit": "ns"
},
{
"name": "BM_10PercentCPUToTime",
"iterations": 1000,
"real_time": 100,
"cpu_time": 100,
"time_unit": "ns"
},
{
"name": "BM_ThirdFaster",
"iterations": 1000,
"real_time": 100,
"cpu_time": 100,
"time_unit": "ns"
},
{
"name": "BM_BadTimeUnit",
"iterations": 1000,
"real_time": 0.4,
"cpu_time": 0.5,
"time_unit": "s"
},
{
"name": "BM_DifferentTimeUnit",
"iterations": 1,
"real_time": 1,
"cpu_time": 1,
"time_unit": "s"
}
]
}

102
benchmarks/thirdparty/benchmark/tools/gbench/Inputs/test1_run2.json vendored Executable file
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{
"context": {
"date": "2016-08-02 17:44:46",
"num_cpus": 4,
"mhz_per_cpu": 4228,
"cpu_scaling_enabled": false,
"library_build_type": "release"
},
"benchmarks": [
{
"name": "BM_SameTimes",
"iterations": 1000,
"real_time": 10,
"cpu_time": 10,
"time_unit": "ns"
},
{
"name": "BM_2xFaster",
"iterations": 1000,
"real_time": 25,
"cpu_time": 25,
"time_unit": "ns"
},
{
"name": "BM_2xSlower",
"iterations": 20833333,
"real_time": 100,
"cpu_time": 100,
"time_unit": "ns"
},
{
"name": "BM_1PercentFaster",
"iterations": 1000,
"real_time": 98.9999999,
"cpu_time": 98.9999999,
"time_unit": "ns"
},
{
"name": "BM_1PercentSlower",
"iterations": 1000,
"real_time": 100.9999999,
"cpu_time": 100.9999999,
"time_unit": "ns"
},
{
"name": "BM_10PercentFaster",
"iterations": 1000,
"real_time": 90,
"cpu_time": 90,
"time_unit": "ns"
},
{
"name": "BM_10PercentSlower",
"iterations": 1000,
"real_time": 110,
"cpu_time": 110,
"time_unit": "ns"
},
{
"name": "BM_100xSlower",
"iterations": 1000,
"real_time": 1.0000e+04,
"cpu_time": 1.0000e+04,
"time_unit": "ns"
},
{
"name": "BM_100xFaster",
"iterations": 1000,
"real_time": 100,
"cpu_time": 100,
"time_unit": "ns"
},
{
"name": "BM_10PercentCPUToTime",
"iterations": 1000,
"real_time": 110,
"cpu_time": 90,
"time_unit": "ns"
},
{
"name": "BM_ThirdFaster",
"iterations": 1000,
"real_time": 66.665,
"cpu_time": 66.664,
"time_unit": "ns"
},
{
"name": "BM_BadTimeUnit",
"iterations": 1000,
"real_time": 0.04,
"cpu_time": 0.6,
"time_unit": "s"
},
{
"name": "BM_DifferentTimeUnit",
"iterations": 1,
"real_time": 1,
"cpu_time": 1,
"time_unit": "ns"
}
]
}

81
benchmarks/thirdparty/benchmark/tools/gbench/Inputs/test2_run.json vendored Executable file
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{
"context": {
"date": "2016-08-02 17:44:46",
"num_cpus": 4,
"mhz_per_cpu": 4228,
"cpu_scaling_enabled": false,
"library_build_type": "release"
},
"benchmarks": [
{
"name": "BM_Hi",
"iterations": 1234,
"real_time": 42,
"cpu_time": 24,
"time_unit": "ms"
},
{
"name": "BM_Zero",
"iterations": 1000,
"real_time": 10,
"cpu_time": 10,
"time_unit": "ns"
},
{
"name": "BM_Zero/4",
"iterations": 4000,
"real_time": 40,
"cpu_time": 40,
"time_unit": "ns"
},
{
"name": "Prefix/BM_Zero",
"iterations": 2000,
"real_time": 20,
"cpu_time": 20,
"time_unit": "ns"
},
{
"name": "Prefix/BM_Zero/3",
"iterations": 3000,
"real_time": 30,
"cpu_time": 30,
"time_unit": "ns"
},
{
"name": "BM_One",
"iterations": 5000,
"real_time": 5,
"cpu_time": 5,
"time_unit": "ns"
},
{
"name": "BM_One/4",
"iterations": 2000,
"real_time": 20,
"cpu_time": 20,
"time_unit": "ns"
},
{
"name": "Prefix/BM_One",
"iterations": 1000,
"real_time": 10,
"cpu_time": 10,
"time_unit": "ns"
},
{
"name": "Prefix/BM_One/3",
"iterations": 1500,
"real_time": 15,
"cpu_time": 15,
"time_unit": "ns"
},
{
"name": "BM_Bye",
"iterations": 5321,
"real_time": 11,
"cpu_time": 63,
"time_unit": "ns"
}
]
}

8
benchmarks/thirdparty/benchmark/tools/gbench/__init__.py vendored Executable file
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"""Google Benchmark tooling"""
__author__ = 'Eric Fiselier'
__email__ = 'eric@efcs.ca'
__versioninfo__ = (0, 5, 0)
__version__ = '.'.join(str(v) for v in __versioninfo__) + 'dev'
__all__ = []

208
benchmarks/thirdparty/benchmark/tools/gbench/report.py vendored Executable file
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"""report.py - Utilities for reporting statistics about benchmark results
"""
import os
import re
import copy
class BenchmarkColor(object):
def __init__(self, name, code):
self.name = name
self.code = code
def __repr__(self):
return '%s%r' % (self.__class__.__name__,
(self.name, self.code))
def __format__(self, format):
return self.code
# Benchmark Colors Enumeration
BC_NONE = BenchmarkColor('NONE', '')
BC_MAGENTA = BenchmarkColor('MAGENTA', '\033[95m')
BC_CYAN = BenchmarkColor('CYAN', '\033[96m')
BC_OKBLUE = BenchmarkColor('OKBLUE', '\033[94m')
BC_HEADER = BenchmarkColor('HEADER', '\033[92m')
BC_WARNING = BenchmarkColor('WARNING', '\033[93m')
BC_WHITE = BenchmarkColor('WHITE', '\033[97m')
BC_FAIL = BenchmarkColor('FAIL', '\033[91m')
BC_ENDC = BenchmarkColor('ENDC', '\033[0m')
BC_BOLD = BenchmarkColor('BOLD', '\033[1m')
BC_UNDERLINE = BenchmarkColor('UNDERLINE', '\033[4m')
def color_format(use_color, fmt_str, *args, **kwargs):
"""
Return the result of 'fmt_str.format(*args, **kwargs)' after transforming
'args' and 'kwargs' according to the value of 'use_color'. If 'use_color'
is False then all color codes in 'args' and 'kwargs' are replaced with
the empty string.
"""
assert use_color is True or use_color is False
if not use_color:
args = [arg if not isinstance(arg, BenchmarkColor) else BC_NONE
for arg in args]
kwargs = {key: arg if not isinstance(arg, BenchmarkColor) else BC_NONE
for key, arg in kwargs.items()}
return fmt_str.format(*args, **kwargs)
def find_longest_name(benchmark_list):
"""
Return the length of the longest benchmark name in a given list of
benchmark JSON objects
"""
longest_name = 1
for bc in benchmark_list:
if len(bc['name']) > longest_name:
longest_name = len(bc['name'])
return longest_name
def calculate_change(old_val, new_val):
"""
Return a float representing the decimal change between old_val and new_val.
"""
if old_val == 0 and new_val == 0:
return 0.0
if old_val == 0:
return float(new_val - old_val) / (float(old_val + new_val) / 2)
return float(new_val - old_val) / abs(old_val)
def filter_benchmark(json_orig, family, replacement=""):
"""
Apply a filter to the json, and only leave the 'family' of benchmarks.
"""
regex = re.compile(family)
filtered = {}
filtered['benchmarks'] = []
for be in json_orig['benchmarks']:
if not regex.search(be['name']):
continue
filteredbench = copy.deepcopy(be) # Do NOT modify the old name!
filteredbench['name'] = regex.sub(replacement, filteredbench['name'])
filtered['benchmarks'].append(filteredbench)
return filtered
def generate_difference_report(json1, json2, use_color=True):
"""
Calculate and report the difference between each test of two benchmarks
runs specified as 'json1' and 'json2'.
"""
first_col_width = find_longest_name(json1['benchmarks'])
def find_test(name):
for b in json2['benchmarks']:
if b['name'] == name:
return b
return None
first_col_width = max(first_col_width, len('Benchmark'))
first_line = "{:<{}s}Time CPU Time Old Time New CPU Old CPU New".format(
'Benchmark', 12 + first_col_width)
output_strs = [first_line, '-' * len(first_line)]
gen = (bn for bn in json1['benchmarks'] if 'real_time' in bn and 'cpu_time' in bn)
for bn in gen:
other_bench = find_test(bn['name'])
if not other_bench:
continue
if bn['time_unit'] != other_bench['time_unit']:
continue
def get_color(res):
if res > 0.05:
return BC_FAIL
elif res > -0.07:
return BC_WHITE
else:
return BC_CYAN
fmt_str = "{}{:<{}s}{endc}{}{:+16.4f}{endc}{}{:+16.4f}{endc}{:14.0f}{:14.0f}{endc}{:14.0f}{:14.0f}"
tres = calculate_change(bn['real_time'], other_bench['real_time'])
cpures = calculate_change(bn['cpu_time'], other_bench['cpu_time'])
output_strs += [color_format(use_color, fmt_str,
BC_HEADER, bn['name'], first_col_width,
get_color(tres), tres, get_color(cpures), cpures,
bn['real_time'], other_bench['real_time'],
bn['cpu_time'], other_bench['cpu_time'],
endc=BC_ENDC)]
return output_strs
###############################################################################
# Unit tests
import unittest
class TestReportDifference(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, 'test1_run1.json')
testOutput2 = os.path.join(testInputs, 'test1_run2.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_basic(self):
expect_lines = [
['BM_SameTimes', '+0.0000', '+0.0000', '10', '10', '10', '10'],
['BM_2xFaster', '-0.5000', '-0.5000', '50', '25', '50', '25'],
['BM_2xSlower', '+1.0000', '+1.0000', '50', '100', '50', '100'],
['BM_1PercentFaster', '-0.0100', '-0.0100', '100', '99', '100', '99'],
['BM_1PercentSlower', '+0.0100', '+0.0100', '100', '101', '100', '101'],
['BM_10PercentFaster', '-0.1000', '-0.1000', '100', '90', '100', '90'],
['BM_10PercentSlower', '+0.1000', '+0.1000', '100', '110', '100', '110'],
['BM_100xSlower', '+99.0000', '+99.0000', '100', '10000', '100', '10000'],
['BM_100xFaster', '-0.9900', '-0.9900', '10000', '100', '10000', '100'],
['BM_10PercentCPUToTime', '+0.1000', '-0.1000', '100', '110', '100', '90'],
['BM_ThirdFaster', '-0.3333', '-0.3334', '100', '67', '100', '67'],
['BM_BadTimeUnit', '-0.9000', '+0.2000', '0', '0', '0', '1'],
]
json1, json2 = self.load_results()
output_lines_with_header = generate_difference_report(json1, json2, use_color=False)
output_lines = output_lines_with_header[2:]
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(len(parts), 7)
self.assertEqual(parts, expect_lines[i])
class TestReportDifferenceBetweenFamilies(unittest.TestCase):
def load_result(self):
import json
testInputs = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'Inputs')
testOutput = os.path.join(testInputs, 'test2_run.json')
with open(testOutput, 'r') as f:
json = json.load(f)
return json
def test_basic(self):
expect_lines = [
['.', '-0.5000', '-0.5000', '10', '5', '10', '5'],
['./4', '-0.5000', '-0.5000', '40', '20', '40', '20'],
['Prefix/.', '-0.5000', '-0.5000', '20', '10', '20', '10'],
['Prefix/./3', '-0.5000', '-0.5000', '30', '15', '30', '15'],
]
json = self.load_result()
json1 = filter_benchmark(json, "BM_Z.ro", ".")
json2 = filter_benchmark(json, "BM_O.e", ".")
output_lines_with_header = generate_difference_report(json1, json2, 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(len(parts), 7)
self.assertEqual(parts, expect_lines[i])
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;

159
benchmarks/thirdparty/benchmark/tools/gbench/util.py vendored Executable file
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"""util.py - General utilities for running, loading, and processing benchmarks
"""
import json
import os
import tempfile
import subprocess
import sys
# Input file type enumeration
IT_Invalid = 0
IT_JSON = 1
IT_Executable = 2
_num_magic_bytes = 2 if sys.platform.startswith('win') else 4
def is_executable_file(filename):
"""
Return 'True' if 'filename' names a valid file which is likely
an executable. A file is considered an executable if it starts with the
magic bytes for a EXE, Mach O, or ELF file.
"""
if not os.path.isfile(filename):
return False
with open(filename, mode='rb') as f:
magic_bytes = f.read(_num_magic_bytes)
if sys.platform == 'darwin':
return magic_bytes in [
b'\xfe\xed\xfa\xce', # MH_MAGIC
b'\xce\xfa\xed\xfe', # MH_CIGAM
b'\xfe\xed\xfa\xcf', # MH_MAGIC_64
b'\xcf\xfa\xed\xfe', # MH_CIGAM_64
b'\xca\xfe\xba\xbe', # FAT_MAGIC
b'\xbe\xba\xfe\xca' # FAT_CIGAM
]
elif sys.platform.startswith('win'):
return magic_bytes == b'MZ'
else:
return magic_bytes == b'\x7FELF'
def is_json_file(filename):
"""
Returns 'True' if 'filename' names a valid JSON output file.
'False' otherwise.
"""
try:
with open(filename, 'r') as f:
json.load(f)
return True
except:
pass
return False
def classify_input_file(filename):
"""
Return a tuple (type, msg) where 'type' specifies the classified type
of 'filename'. If 'type' is 'IT_Invalid' then 'msg' is a human readable
string represeting the error.
"""
ftype = IT_Invalid
err_msg = None
if not os.path.exists(filename):
err_msg = "'%s' does not exist" % filename
elif not os.path.isfile(filename):
err_msg = "'%s' does not name a file" % filename
elif is_executable_file(filename):
ftype = IT_Executable
elif is_json_file(filename):
ftype = IT_JSON
else:
err_msg = "'%s' does not name a valid benchmark executable or JSON file" % filename
return ftype, err_msg
def check_input_file(filename):
"""
Classify the file named by 'filename' and return the classification.
If the file is classified as 'IT_Invalid' print an error message and exit
the program.
"""
ftype, msg = classify_input_file(filename)
if ftype == IT_Invalid:
print("Invalid input file: %s" % msg)
sys.exit(1)
return ftype
def find_benchmark_flag(prefix, benchmark_flags):
"""
Search the specified list of flags for a flag matching `<prefix><arg>` and
if it is found return the arg it specifies. If specified more than once the
last value is returned. If the flag is not found None is returned.
"""
assert prefix.startswith('--') and prefix.endswith('=')
result = None
for f in benchmark_flags:
if f.startswith(prefix):
result = f[len(prefix):]
return result
def remove_benchmark_flags(prefix, benchmark_flags):
"""
Return a new list containing the specified benchmark_flags except those
with the specified prefix.
"""
assert prefix.startswith('--') and prefix.endswith('=')
return [f for f in benchmark_flags if not f.startswith(prefix)]
def load_benchmark_results(fname):
"""
Read benchmark output from a file and return the JSON object.
REQUIRES: 'fname' names a file containing JSON benchmark output.
"""
with open(fname, 'r') as f:
return json.load(f)
def run_benchmark(exe_name, benchmark_flags):
"""
Run a benchmark specified by 'exe_name' with the specified
'benchmark_flags'. The benchmark is run directly as a subprocess to preserve
real time console output.
RETURNS: A JSON object representing the benchmark output
"""
output_name = find_benchmark_flag('--benchmark_out=',
benchmark_flags)
is_temp_output = False
if output_name is None:
is_temp_output = True
thandle, output_name = tempfile.mkstemp()
os.close(thandle)
benchmark_flags = list(benchmark_flags) + \
['--benchmark_out=%s' % output_name]
cmd = [exe_name] + benchmark_flags
print("RUNNING: %s" % ' '.join(cmd))
exitCode = subprocess.call(cmd)
if exitCode != 0:
print('TEST FAILED...')
sys.exit(exitCode)
json_res = load_benchmark_results(output_name)
if is_temp_output:
os.unlink(output_name)
return json_res
def run_or_load_benchmark(filename, benchmark_flags):
"""
Get the results for a specified benchmark. If 'filename' specifies
an executable benchmark then the results are generated by running the
benchmark. Otherwise 'filename' must name a valid JSON output file,
which is loaded and the result returned.
"""
ftype = check_input_file(filename)
if ftype == IT_JSON:
return load_benchmark_results(filename)
elif ftype == IT_Executable:
return run_benchmark(filename, benchmark_flags)
else:
assert False # This branch is unreachable