feat(third_party): add oatpp,googltest,benchmark

third_party/benchmark/bindings/python/google_benchmark/BUILD

@@ -0,0 +1,27 @@
+load("@nanobind_bazel//:build_defs.bzl", "nanobind_extension")
+
+py_library(
+    name = "google_benchmark",
+    srcs = ["__init__.py"],
+    visibility = ["//visibility:public"],
+    deps = [
+        ":_benchmark",
+    ],
+)
+
+nanobind_extension(
+    name = "_benchmark",
+    srcs = ["benchmark.cc"],
+    deps = ["//:benchmark"],
+)
+
+py_test(
+    name = "example",
+    srcs = ["example.py"],
+    python_version = "PY3",
+    srcs_version = "PY3",
+    visibility = ["//visibility:public"],
+    deps = [
+        ":google_benchmark",
+    ],
+)

third_party/benchmark/bindings/python/google_benchmark/__init__.py

@@ -0,0 +1,141 @@
+# Copyright 2020 Google Inc. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Python benchmarking utilities.
+
+Example usage:
+  import google_benchmark as benchmark
+
+  @benchmark.register
+  def my_benchmark(state):
+      ...  # Code executed outside `while` loop is not timed.
+
+      while state:
+        ...  # Code executed within `while` loop is timed.
+
+  if __name__ == '__main__':
+    benchmark.main()
+"""
+
+import atexit
+
+from absl import app
+
+from google_benchmark import _benchmark
+from google_benchmark._benchmark import (
+    Counter as Counter,
+    State as State,
+    kMicrosecond as kMicrosecond,
+    kMillisecond as kMillisecond,
+    kNanosecond as kNanosecond,
+    kSecond as kSecond,
+    o1 as o1,
+    oAuto as oAuto,
+    oLambda as oLambda,
+    oLogN as oLogN,
+    oN as oN,
+    oNCubed as oNCubed,
+    oNLogN as oNLogN,
+    oNone as oNone,
+    oNSquared as oNSquared,
+)
+from google_benchmark.version import __version__ as __version__
+
+
+class __OptionMaker:
+    """A stateless class to collect benchmark options.
+
+    Collect all decorator calls like @option.range(start=0, limit=1<<5).
+    """
+
+    class Options:
+        """Pure data class to store options calls, along with the benchmarked function."""
+
+        def __init__(self, func):
+            self.func = func
+            self.builder_calls = []
+
+    @classmethod
+    def make(cls, func_or_options):
+        """Make Options from Options or the benchmarked function."""
+        if isinstance(func_or_options, cls.Options):
+            return func_or_options
+        return cls.Options(func_or_options)
+
+    def __getattr__(self, builder_name):
+        """Append option call in the Options."""
+
+        # The function that get returned on @option.range(start=0, limit=1<<5).
+        def __builder_method(*args, **kwargs):
+            # The decorator that get called, either with the benchmared function
+            # or the previous Options
+            def __decorator(func_or_options):
+                options = self.make(func_or_options)
+                options.builder_calls.append((builder_name, args, kwargs))
+                # The decorator returns Options so it is not technically a decorator
+                # and needs a final call to @register
+                return options
+
+            return __decorator
+
+        return __builder_method
+
+
+# Alias for nicer API.
+# We have to instantiate an object, even if stateless, to be able to use __getattr__
+# on option.range
+option = __OptionMaker()
+
+
+def register(undefined=None, *, name=None):
+    """Register function for benchmarking."""
+    if undefined is None:
+        # Decorator is called without parenthesis so we return a decorator
+        return lambda f: register(f, name=name)
+
+    # We have either the function to benchmark (simple case) or an instance of Options
+    # (@option._ case).
+    options = __OptionMaker.make(undefined)
+
+    if name is None:
+        name = options.func.__name__
+
+    # We register the benchmark and reproduce all the @option._ calls onto the
+    # benchmark builder pattern
+    benchmark = _benchmark.RegisterBenchmark(name, options.func)
+    for name, args, kwargs in options.builder_calls[::-1]:
+        getattr(benchmark, name)(*args, **kwargs)
+
+    # return the benchmarked function because the decorator does not modify it
+    return options.func
+
+
+def _flags_parser(argv):
+    argv = _benchmark.Initialize(argv)
+    return app.parse_flags_with_usage(argv)
+
+
+def _run_benchmarks(argv):
+    if len(argv) > 1:
+        raise app.UsageError("Too many command-line arguments.")
+    return _benchmark.RunSpecifiedBenchmarks()
+
+
+def main(argv=None):
+    return app.run(_run_benchmarks, argv=argv, flags_parser=_flags_parser)
+
+
+# Methods for use with custom main function.
+initialize = _benchmark.Initialize
+run_benchmarks = _benchmark.RunSpecifiedBenchmarks
+atexit.register(_benchmark.ClearRegisteredBenchmarks)

third_party/benchmark/bindings/python/google_benchmark/benchmark.cc

@@ -0,0 +1,184 @@
+// Benchmark for Python.
+
+#include "benchmark/benchmark.h"
+
+#include "nanobind/nanobind.h"
+#include "nanobind/operators.h"
+#include "nanobind/stl/bind_map.h"
+#include "nanobind/stl/string.h"
+#include "nanobind/stl/vector.h"
+
+NB_MAKE_OPAQUE(benchmark::UserCounters);
+
+namespace {
+namespace nb = nanobind;
+
+std::vector<std::string> Initialize(const std::vector<std::string>& argv) {
+  // The `argv` pointers here become invalid when this function returns, but
+  // benchmark holds the pointer to `argv[0]`. We create a static copy of it
+  // so it persists, and replace the pointer below.
+  static std::string executable_name(argv[0]);
+  std::vector<char*> ptrs;
+  ptrs.reserve(argv.size());
+  for (auto& arg : argv) {
+    ptrs.push_back(const_cast<char*>(arg.c_str()));
+  }
+  ptrs[0] = const_cast<char*>(executable_name.c_str());
+  int argc = static_cast<int>(argv.size());
+  benchmark::Initialize(&argc, ptrs.data());
+  std::vector<std::string> remaining_argv;
+  remaining_argv.reserve(argc);
+  for (int i = 0; i < argc; ++i) {
+    remaining_argv.emplace_back(ptrs[i]);
+  }
+  return remaining_argv;
+}
+
+benchmark::internal::Benchmark* RegisterBenchmark(const std::string& name,
+                                                  nb::callable f) {
+  return benchmark::RegisterBenchmark(
+      name, [f](benchmark::State& state) { f(&state); });
+}
+
+NB_MODULE(_benchmark, m) {
+
+  using benchmark::TimeUnit;
+  nb::enum_<TimeUnit>(m, "TimeUnit")
+      .value("kNanosecond", TimeUnit::kNanosecond)
+      .value("kMicrosecond", TimeUnit::kMicrosecond)
+      .value("kMillisecond", TimeUnit::kMillisecond)
+      .value("kSecond", TimeUnit::kSecond)
+      .export_values();
+
+  using benchmark::BigO;
+  nb::enum_<BigO>(m, "BigO")
+      .value("oNone", BigO::oNone)
+      .value("o1", BigO::o1)
+      .value("oN", BigO::oN)
+      .value("oNSquared", BigO::oNSquared)
+      .value("oNCubed", BigO::oNCubed)
+      .value("oLogN", BigO::oLogN)
+      .value("oNLogN", BigO::oNLogN)
+      .value("oAuto", BigO::oAuto)
+      .value("oLambda", BigO::oLambda)
+      .export_values();
+
+  using benchmark::internal::Benchmark;
+  nb::class_<Benchmark>(m, "Benchmark")
+      // For methods returning a pointer to the current object, reference
+      // return policy is used to ask nanobind not to take ownership of the
+      // returned object and avoid calling delete on it.
+      // https://pybind11.readthedocs.io/en/stable/advanced/functions.html#return-value-policies
+      //
+      // For methods taking a const std::vector<...>&, a copy is created
+      // because a it is bound to a Python list.
+      // https://pybind11.readthedocs.io/en/stable/advanced/cast/stl.html
+      .def("unit", &Benchmark::Unit, nb::rv_policy::reference)
+      .def("arg", &Benchmark::Arg, nb::rv_policy::reference)
+      .def("args", &Benchmark::Args, nb::rv_policy::reference)
+      .def("range", &Benchmark::Range, nb::rv_policy::reference,
+           nb::arg("start"), nb::arg("limit"))
+      .def("dense_range", &Benchmark::DenseRange,
+           nb::rv_policy::reference, nb::arg("start"),
+           nb::arg("limit"), nb::arg("step") = 1)
+      .def("ranges", &Benchmark::Ranges, nb::rv_policy::reference)
+      .def("args_product", &Benchmark::ArgsProduct,
+           nb::rv_policy::reference)
+      .def("arg_name", &Benchmark::ArgName, nb::rv_policy::reference)
+      .def("arg_names", &Benchmark::ArgNames,
+           nb::rv_policy::reference)
+      .def("range_pair", &Benchmark::RangePair,
+           nb::rv_policy::reference, nb::arg("lo1"), nb::arg("hi1"),
+           nb::arg("lo2"), nb::arg("hi2"))
+      .def("range_multiplier", &Benchmark::RangeMultiplier,
+           nb::rv_policy::reference)
+      .def("min_time", &Benchmark::MinTime, nb::rv_policy::reference)
+      .def("min_warmup_time", &Benchmark::MinWarmUpTime,
+           nb::rv_policy::reference)
+      .def("iterations", &Benchmark::Iterations,
+           nb::rv_policy::reference)
+      .def("repetitions", &Benchmark::Repetitions,
+           nb::rv_policy::reference)
+      .def("report_aggregates_only", &Benchmark::ReportAggregatesOnly,
+           nb::rv_policy::reference, nb::arg("value") = true)
+      .def("display_aggregates_only", &Benchmark::DisplayAggregatesOnly,
+           nb::rv_policy::reference, nb::arg("value") = true)
+      .def("measure_process_cpu_time", &Benchmark::MeasureProcessCPUTime,
+           nb::rv_policy::reference)
+      .def("use_real_time", &Benchmark::UseRealTime,
+           nb::rv_policy::reference)
+      .def("use_manual_time", &Benchmark::UseManualTime,
+           nb::rv_policy::reference)
+      .def(
+          "complexity",
+          (Benchmark * (Benchmark::*)(benchmark::BigO)) & Benchmark::Complexity,
+          nb::rv_policy::reference,
+          nb::arg("complexity") = benchmark::oAuto);
+
+  using benchmark::Counter;
+  nb::class_<Counter> py_counter(m, "Counter");
+
+  nb::enum_<Counter::Flags>(py_counter, "Flags")
+      .value("kDefaults", Counter::Flags::kDefaults)
+      .value("kIsRate", Counter::Flags::kIsRate)
+      .value("kAvgThreads", Counter::Flags::kAvgThreads)
+      .value("kAvgThreadsRate", Counter::Flags::kAvgThreadsRate)
+      .value("kIsIterationInvariant", Counter::Flags::kIsIterationInvariant)
+      .value("kIsIterationInvariantRate",
+             Counter::Flags::kIsIterationInvariantRate)
+      .value("kAvgIterations", Counter::Flags::kAvgIterations)
+      .value("kAvgIterationsRate", Counter::Flags::kAvgIterationsRate)
+      .value("kInvert", Counter::Flags::kInvert)
+      .export_values()
+      .def(nb::self | nb::self);
+
+  nb::enum_<Counter::OneK>(py_counter, "OneK")
+      .value("kIs1000", Counter::OneK::kIs1000)
+      .value("kIs1024", Counter::OneK::kIs1024)
+      .export_values();
+
+  py_counter
+      .def(nb::init<double, Counter::Flags, Counter::OneK>(),
+           nb::arg("value") = 0., nb::arg("flags") = Counter::kDefaults,
+           nb::arg("k") = Counter::kIs1000)
+      .def("__init__", ([](Counter *c, double value) { new (c) Counter(value); }))
+      .def_rw("value", &Counter::value)
+      .def_rw("flags", &Counter::flags)
+      .def_rw("oneK", &Counter::oneK)
+      .def(nb::init_implicit<double>());
+
+  nb::implicitly_convertible<nb::int_, Counter>();
+
+  nb::bind_map<benchmark::UserCounters>(m, "UserCounters");
+
+  using benchmark::State;
+  nb::class_<State>(m, "State")
+      .def("__bool__", &State::KeepRunning)
+      .def_prop_ro("keep_running", &State::KeepRunning)
+      .def("pause_timing", &State::PauseTiming)
+      .def("resume_timing", &State::ResumeTiming)
+      .def("skip_with_error", &State::SkipWithError)
+      .def_prop_ro("error_occurred", &State::error_occurred)
+      .def("set_iteration_time", &State::SetIterationTime)
+      .def_prop_rw("bytes_processed", &State::bytes_processed,
+                    &State::SetBytesProcessed)
+      .def_prop_rw("complexity_n", &State::complexity_length_n,
+                    &State::SetComplexityN)
+      .def_prop_rw("items_processed", &State::items_processed,
+                   &State::SetItemsProcessed)
+      .def("set_label", &State::SetLabel)
+      .def("range", &State::range, nb::arg("pos") = 0)
+      .def_prop_ro("iterations", &State::iterations)
+      .def_prop_ro("name", &State::name)
+      .def_rw("counters", &State::counters)
+      .def_prop_ro("thread_index", &State::thread_index)
+      .def_prop_ro("threads", &State::threads);
+
+  m.def("Initialize", Initialize);
+  m.def("RegisterBenchmark", RegisterBenchmark,
+        nb::rv_policy::reference);
+  m.def("RunSpecifiedBenchmarks",
+        []() { benchmark::RunSpecifiedBenchmarks(); });
+  m.def("ClearRegisteredBenchmarks", benchmark::ClearRegisteredBenchmarks);
+};
+}  // namespace

third_party/benchmark/bindings/python/google_benchmark/example.py

@@ -0,0 +1,139 @@
+# Copyright 2020 Google Inc. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Example of Python using C++ benchmark framework.
+
+To run this example, you must first install the `google_benchmark` Python package.
+
+To install using `setup.py`, download and extract the `google_benchmark` source.
+In the extracted directory, execute:
+  python setup.py install
+"""
+
+import random
+import time
+
+import google_benchmark as benchmark
+from google_benchmark import Counter
+
+
+@benchmark.register
+def empty(state):
+    while state:
+        pass
+
+
+@benchmark.register
+def sum_million(state):
+    while state:
+        sum(range(1_000_000))
+
+
+@benchmark.register
+def pause_timing(state):
+    """Pause timing every iteration."""
+    while state:
+        # Construct a list of random ints every iteration without timing it
+        state.pause_timing()
+        random_list = [random.randint(0, 100) for _ in range(100)]
+        state.resume_timing()
+        # Time the in place sorting algorithm
+        random_list.sort()
+
+
+@benchmark.register
+def skipped(state):
+    if True:  # Test some predicate here.
+        state.skip_with_error("some error")
+        return  # NOTE: You must explicitly return, or benchmark will continue.
+
+    ...  # Benchmark code would be here.
+
+
+@benchmark.register
+def manual_timing(state):
+    while state:
+        # Manually count Python CPU time
+        start = time.perf_counter()  # perf_counter_ns() in Python 3.7+
+        # Something to benchmark
+        time.sleep(0.01)
+        end = time.perf_counter()
+        state.set_iteration_time(end - start)
+
+
+@benchmark.register
+def custom_counters(state):
+    """Collect custom metric using benchmark.Counter."""
+    num_foo = 0.0
+    while state:
+        # Benchmark some code here
+        pass
+        # Collect some custom metric named foo
+        num_foo += 0.13
+
+    # Automatic Counter from numbers.
+    state.counters["foo"] = num_foo
+    # Set a counter as a rate.
+    state.counters["foo_rate"] = Counter(num_foo, Counter.kIsRate)
+    #  Set a counter as an inverse of rate.
+    state.counters["foo_inv_rate"] = Counter(
+        num_foo, Counter.kIsRate | Counter.kInvert
+    )
+    # Set a counter as a thread-average quantity.
+    state.counters["foo_avg"] = Counter(num_foo, Counter.kAvgThreads)
+    # There's also a combined flag:
+    state.counters["foo_avg_rate"] = Counter(num_foo, Counter.kAvgThreadsRate)
+
+
+@benchmark.register
+@benchmark.option.measure_process_cpu_time()
+@benchmark.option.use_real_time()
+def with_options(state):
+    while state:
+        sum(range(1_000_000))
+
+
+@benchmark.register(name="sum_million_microseconds")
+@benchmark.option.unit(benchmark.kMicrosecond)
+def with_options2(state):
+    while state:
+        sum(range(1_000_000))
+
+
+@benchmark.register
+@benchmark.option.arg(100)
+@benchmark.option.arg(1000)
+def passing_argument(state):
+    while state:
+        sum(range(state.range(0)))
+
+
+@benchmark.register
+@benchmark.option.range(8, limit=8 << 10)
+def using_range(state):
+    while state:
+        sum(range(state.range(0)))
+
+
+@benchmark.register
+@benchmark.option.range_multiplier(2)
+@benchmark.option.range(1 << 10, 1 << 18)
+@benchmark.option.complexity(benchmark.oN)
+def computing_complexity(state):
+    while state:
+        sum(range(state.range(0)))
+    state.complexity_n = state.range(0)
+
+
+if __name__ == "__main__":
+    benchmark.main()

third_party/benchmark/bindings/python/google_benchmark/version.py

@@ -0,0 +1,7 @@
+from importlib.metadata import PackageNotFoundError, version
+
+try:
+    __version__ = version("google-benchmark")
+except PackageNotFoundError:
+    # package is not installed
+    pass