mirror of https://github.com/google/benchmark.git
Bind benchmark builder to Python (#1040)
* Fix setup.py and reformat * Bind benchmark * Add benchmark option to Python * Add Python examples for range, complexity, and thread * Remove invalid multithreading in Python * Bump Python bindings version to 0.2.0 Co-authored-by: Dominic Hamon <dominichamon@users.noreply.github.com>
This commit is contained in:
parent
df9e2948fa
commit
73d4d5e8d6
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@ -29,24 +29,111 @@ Example usage:
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from absl import app
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from google_benchmark import _benchmark
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from google_benchmark._benchmark import Counter
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from google_benchmark._benchmark import (
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Counter,
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kNanosecond,
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kMicrosecond,
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kMillisecond,
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oNone,
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o1,
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oN,
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oNSquared,
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oNCubed,
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oLogN,
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oNLogN,
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oAuto,
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oLambda,
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)
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__all__ = [
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"register",
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"main",
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"Counter",
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"kNanosecond",
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"kMicrosecond",
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"kMillisecond",
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"oNone",
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"o1",
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"oN",
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"oNSquared",
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"oNCubed",
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"oLogN",
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"oNLogN",
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"oAuto",
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"oLambda",
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]
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__version__ = "0.1.0"
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__version__ = "0.2.0"
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def register(f=None, *, name=None):
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if f is None:
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class __OptionMaker:
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"""A stateless class to collect benchmark options.
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Collect all decorator calls like @option.range(start=0, limit=1<<5).
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"""
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class Options:
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"""Pure data class to store options calls, along with the benchmarked function."""
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def __init__(self, func):
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self.func = func
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self.builder_calls = []
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@classmethod
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def make(cls, func_or_options):
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"""Make Options from Options or the benchmarked function."""
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if isinstance(func_or_options, cls.Options):
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return func_or_options
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return cls.Options(func_or_options)
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def __getattr__(self, builder_name):
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"""Append option call in the Options."""
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# The function that get returned on @option.range(start=0, limit=1<<5).
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def __builder_method(*args, **kwargs):
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# The decorator that get called, either with the benchmared function
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# or the previous Options
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def __decorator(func_or_options):
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options = self.make(func_or_options)
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options.builder_calls.append((builder_name, args, kwargs))
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# The decorator returns Options so it is not technically a decorator
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# and needs a final call to @regiser
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return options
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return __decorator
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return __builder_method
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# Alias for nicer API.
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# We have to instanciate an object, even if stateless, to be able to use __getattr__
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# on option.range
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option = __OptionMaker()
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def register(undefined=None, *, name=None):
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"""Register function for benchmarking."""
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if undefined is None:
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# Decorator is called without parenthesis so we return a decorator
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return lambda f: register(f, name=name)
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# We have either the function to benchmark (simple case) or an instance of Options
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# (@option._ case).
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options = __OptionMaker.make(undefined)
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if name is None:
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name = f.__name__
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_benchmark.RegisterBenchmark(name, f)
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return f
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name = options.func.__name__
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# We register the benchmark and reproduce all the @option._ calls onto the
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# benchmark builder pattern
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benchmark = _benchmark.RegisterBenchmark(name, options.func)
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for name, args, kwargs in options.builder_calls[::-1]:
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getattr(benchmark, name)(*args, **kwargs)
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# return the benchmarked function because the decorator does not modify it
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return options.func
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def _flags_parser(argv):
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@ -1,7 +1,5 @@
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// Benchmark for Python.
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#include "benchmark/benchmark.h"
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#include <map>
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#include <string>
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#include <vector>
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@ -11,6 +9,8 @@
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#include "pybind11/stl.h"
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#include "pybind11/stl_bind.h"
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#include "benchmark/benchmark.h"
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PYBIND11_MAKE_OPAQUE(benchmark::UserCounters);
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namespace {
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@ -37,16 +37,82 @@ std::vector<std::string> Initialize(const std::vector<std::string>& argv) {
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return remaining_argv;
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}
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void RegisterBenchmark(const char* name, py::function f) {
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benchmark::RegisterBenchmark(name,
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[f](benchmark::State& state) { f(&state); });
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benchmark::internal::Benchmark* RegisterBenchmark(const char* name,
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py::function f) {
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return benchmark::RegisterBenchmark(
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name, [f](benchmark::State& state) { f(&state); });
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}
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PYBIND11_MODULE(_benchmark, m) {
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m.def("Initialize", Initialize);
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m.def("RegisterBenchmark", RegisterBenchmark);
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m.def("RunSpecifiedBenchmarks",
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[]() { benchmark::RunSpecifiedBenchmarks(); });
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using benchmark::TimeUnit;
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py::enum_<TimeUnit>(m, "TimeUnit")
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.value("kNanosecond", TimeUnit::kNanosecond)
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.value("kMicrosecond", TimeUnit::kMicrosecond)
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.value("kMillisecond", TimeUnit::kMillisecond)
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.export_values();
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using benchmark::BigO;
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py::enum_<BigO>(m, "BigO")
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.value("oNone", BigO::oNone)
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.value("o1", BigO::o1)
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.value("oN", BigO::oN)
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.value("oNSquared", BigO::oNSquared)
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.value("oNCubed", BigO::oNCubed)
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.value("oLogN", BigO::oLogN)
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.value("oNLogN", BigO::oLogN)
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.value("oAuto", BigO::oAuto)
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.value("oLambda", BigO::oLambda)
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.export_values();
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using benchmark::internal::Benchmark;
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py::class_<Benchmark>(m, "Benchmark")
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// For methods returning a pointer tor the current object, reference
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// return policy is used to ask pybind not to take ownership oof the
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// returned object and avoid calling delete on it.
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// https://pybind11.readthedocs.io/en/stable/advanced/functions.html#return-value-policies
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//
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// For methods taking a const std::vector<...>&, a copy is created
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// because a it is bound to a Python list.
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// https://pybind11.readthedocs.io/en/stable/advanced/cast/stl.html
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.def("unit", &Benchmark::Unit, py::return_value_policy::reference)
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.def("arg", &Benchmark::Arg, py::return_value_policy::reference)
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.def("args", &Benchmark::Args, py::return_value_policy::reference)
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.def("range", &Benchmark::Range, py::return_value_policy::reference,
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py::arg("start"), py::arg("limit"))
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.def("dense_range", &Benchmark::DenseRange,
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py::return_value_policy::reference, py::arg("start"),
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py::arg("limit"), py::arg("step") = 1)
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.def("ranges", &Benchmark::Ranges, py::return_value_policy::reference)
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.def("args_product", &Benchmark::ArgsProduct,
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py::return_value_policy::reference)
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.def("arg_name", &Benchmark::ArgName, py::return_value_policy::reference)
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.def("arg_names", &Benchmark::ArgNames,
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py::return_value_policy::reference)
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.def("range_pair", &Benchmark::RangePair,
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py::return_value_policy::reference, py::arg("lo1"), py::arg("hi1"),
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py::arg("lo2"), py::arg("hi2"))
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.def("range_multiplier", &Benchmark::RangeMultiplier,
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py::return_value_policy::reference)
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.def("min_time", &Benchmark::MinTime, py::return_value_policy::reference)
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.def("iterations", &Benchmark::Iterations,
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py::return_value_policy::reference)
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.def("repetitions", &Benchmark::Repetitions,
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py::return_value_policy::reference)
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.def("report_aggregates_only", &Benchmark::ReportAggregatesOnly,
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py::return_value_policy::reference, py::arg("value") = true)
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.def("display_aggregates_only", &Benchmark::DisplayAggregatesOnly,
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py::return_value_policy::reference, py::arg("value") = true)
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.def("measure_process_cpu_time", &Benchmark::MeasureProcessCPUTime,
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py::return_value_policy::reference)
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.def("use_real_time", &Benchmark::UseRealTime,
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py::return_value_policy::reference)
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.def("use_manual_time", &Benchmark::UseManualTime,
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py::return_value_policy::reference)
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.def(
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"complexity",
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(Benchmark * (Benchmark::*)(benchmark::BigO)) & Benchmark::Complexity,
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py::return_value_policy::reference,
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py::arg("complexity") = benchmark::oAuto);
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using benchmark::Counter;
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py::class_<Counter> py_counter(m, "Counter");
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@ -104,5 +170,11 @@ PYBIND11_MODULE(_benchmark, m) {
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.def_readwrite("counters", &State::counters)
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.def_readonly("thread_index", &State::thread_index)
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.def_readonly("threads", &State::threads);
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m.def("Initialize", Initialize);
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m.def("RegisterBenchmark", RegisterBenchmark,
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py::return_value_policy::reference);
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m.def("RunSpecifiedBenchmarks",
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[]() { benchmark::RunSpecifiedBenchmarks(); });
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};
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} // namespace
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@ -64,7 +64,7 @@ def manual_timing(state):
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while state:
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# Manually count Python CPU time
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start = time.perf_counter() # perf_counter_ns() in Python 3.7+
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# Somehting to benchmark
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# Something to benchmark
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time.sleep(0.01)
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end = time.perf_counter()
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state.set_iteration_time(end - start)
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state.counters["foo_avg_rate"] = Counter(num_foo, Counter.kAvgThreadsRate)
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@benchmark.register
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@benchmark.option.measure_process_cpu_time()
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@benchmark.option.use_real_time()
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def with_options(state):
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while state:
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sum(range(1_000_000))
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@benchmark.register(name="sum_million_microseconds")
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@benchmark.option.unit(benchmark.kMicrosecond)
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def with_options(state):
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while state:
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sum(range(1_000_000))
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@benchmark.register
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@benchmark.option.arg(100)
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@benchmark.option.arg(1000)
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def passing_argument(state):
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while state:
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sum(range(state.range(0)))
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@benchmark.register
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@benchmark.option.range(8, limit=8 << 10)
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def using_range(state):
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while state:
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sum(range(state.range(0)))
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@benchmark.register
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@benchmark.option.range_multiplier(2)
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@benchmark.option.range(1 << 10, 1 << 18)
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@benchmark.option.complexity(benchmark.oN)
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def computing_complexity(state):
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while state:
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sum(range(state.range(0)))
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state.complexity_n = state.range(0)
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if __name__ == "__main__":
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benchmark.main()
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92
setup.py
92
setup.py
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@ -12,29 +12,32 @@ from setuptools.command import build_ext
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HERE = os.path.dirname(os.path.abspath(__file__))
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IS_WINDOWS = sys.platform.startswith('win')
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IS_WINDOWS = sys.platform.startswith("win")
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def _get_version():
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"""Parse the version string from __init__.py."""
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with open(os.path.join(
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HERE, 'bindings', 'python', 'google_benchmark', '__init__.py')) as init_file:
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with open(
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os.path.join(HERE, "bindings", "python", "google_benchmark", "__init__.py")
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) as init_file:
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try:
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version_line = next(
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line for line in init_file if line.startswith('__version__'))
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line for line in init_file if line.startswith("__version__")
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)
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except StopIteration:
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raise ValueError('__version__ not defined in __init__.py')
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raise ValueError("__version__ not defined in __init__.py")
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else:
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namespace = {}
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exec(version_line, namespace) # pylint: disable=exec-used
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return namespace['__version__']
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return namespace["__version__"]
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def _parse_requirements(path):
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with open(os.path.join(HERE, path)) as requirements:
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return [
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line.rstrip() for line in requirements
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if not (line.isspace() or line.startswith('#'))
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line.rstrip()
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for line in requirements
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if not (line.isspace() or line.startswith("#"))
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]
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@ -43,8 +46,9 @@ class BazelExtension(setuptools.Extension):
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def __init__(self, name, bazel_target):
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self.bazel_target = bazel_target
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self.relpath, self.target_name = (
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posixpath.relpath(bazel_target, '//').split(':'))
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self.relpath, self.target_name = posixpath.relpath(bazel_target, "//").split(
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":"
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)
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setuptools.Extension.__init__(self, name, sources=[])
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@ -58,30 +62,33 @@ class BuildBazelExtension(build_ext.build_ext):
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def bazel_build(self, ext):
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"""Runs the bazel build to create the package."""
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with open('WORKSPACE', 'r') as workspace:
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with open("WORKSPACE", "r") as workspace:
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workspace_contents = workspace.read()
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with open('WORKSPACE', 'w') as workspace:
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workspace.write(re.sub(
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with open("WORKSPACE", "w") as workspace:
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workspace.write(
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re.sub(
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r'(?<=path = ").*(?=", # May be overwritten by setup\.py\.)',
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sysconfig.get_python_inc().replace(os.path.sep, posixpath.sep),
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workspace_contents))
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workspace_contents,
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)
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)
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if not os.path.exists(self.build_temp):
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os.makedirs(self.build_temp)
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bazel_argv = [
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'bazel',
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'build',
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"bazel",
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"build",
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ext.bazel_target,
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'--symlink_prefix=' + os.path.join(self.build_temp, 'bazel-'),
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'--compilation_mode=' + ('dbg' if self.debug else 'opt'),
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"--symlink_prefix=" + os.path.join(self.build_temp, "bazel-"),
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"--compilation_mode=" + ("dbg" if self.debug else "opt"),
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]
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if IS_WINDOWS:
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# Link with python*.lib.
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for library_dir in self.library_dirs:
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bazel_argv.append('--linkopt=/LIBPATH:' + library_dir)
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bazel_argv.append("--linkopt=/LIBPATH:" + library_dir)
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self.spawn(bazel_argv)
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ext_bazel_bin_path = os.path.join(
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self.build_temp, 'bazel-bin',
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ext.relpath, ext.target_name + shared_lib_suffix)
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ext_dest_path = self.get_ext_fullpath(ext.name)
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ext_dest_dir = os.path.dirname(ext_dest_path)
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if not os.path.exists(ext_dest_dir):
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setuptools.setup(
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name='google_benchmark',
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name="google_benchmark",
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version=_get_version(),
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url='https://github.com/google/benchmark',
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description='A library to benchmark code snippets.',
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author='Google',
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author_email='benchmark-py@google.com',
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url="https://github.com/google/benchmark",
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description="A library to benchmark code snippets.",
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author="Google",
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author_email="benchmark-py@google.com",
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# Contained modules and scripts.
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package_dir={'': 'bindings/python'},
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packages=setuptools.find_packages('bindings/python'),
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install_requires=_parse_requirements('bindings/python/requirements.txt'),
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package_dir={"": "bindings/python"},
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packages=setuptools.find_packages("bindings/python"),
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install_requires=_parse_requirements("bindings/python/requirements.txt"),
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cmdclass=dict(build_ext=BuildBazelExtension),
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ext_modules=[BazelExtension(
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'google_benchmark._benchmark', '//bindings/python/google_benchmark:_benchmark')],
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ext_modules=[
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BazelExtension(
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"google_benchmark._benchmark",
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"//bindings/python/google_benchmark:_benchmark",
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)
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],
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zip_safe=False,
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# PyPI package information.
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classifiers=[
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'Development Status :: 4 - Beta',
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'Intended Audience :: Developers',
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'Intended Audience :: Science/Research',
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'License :: OSI Approved :: Apache Software License',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7',
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'Programming Language :: Python :: 3.8',
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'Topic :: Software Development :: Testing',
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'Topic :: System :: Benchmark',
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
|
||||
"Topic :: Software Development :: Testing",
|
||||
"Topic :: System :: Benchmark",
|
||||
],
|
||||
license='Apache 2.0',
|
||||
keywords='benchmark',
|
||||
license="Apache 2.0",
|
||||
keywords="benchmark",
|
||||
)
|
||||
|
|
Loading…
Reference in New Issue