1 files changed, 0 insertions, 158 deletions
diff --git a/third-party/benchmark/bindings/python/google_benchmark/__init__.py b/third-party/benchmark/bindings/python/google_benchmark/__init__.py
deleted file mode 100644
index 1055bf241856..000000000000
--- a/third-party/benchmark/bindings/python/google_benchmark/__init__.py
+++ /dev/null
@@ -1,158 +0,0 @@
-# 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()
-"""
-
-from absl import app
-from google_benchmark import _benchmark
-from google_benchmark._benchmark import (
-    Counter,
-    kNanosecond,
-    kMicrosecond,
-    kMillisecond,
-    kSecond,
-    oNone,
-    o1,
-    oN,
-    oNSquared,
-    oNCubed,
-    oLogN,
-    oNLogN,
-    oAuto,
-    oLambda,
-)
-
-
-__all__ = [
-    "register",
-    "main",
-    "Counter",
-    "kNanosecond",
-    "kMicrosecond",
-    "kMillisecond",
-    "kSecond",
-    "oNone",
-    "o1",
-    "oN",
-    "oNSquared",
-    "oNCubed",
-    "oLogN",
-    "oNLogN",
-    "oAuto",
-    "oLambda",
-]
-
-__version__ = "0.2.0"
-
-
-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 @regiser
-                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