The dependencies are contained in the `pyproject.toml` since it was added.
Switches to header and source file globbing instead of manually listing
the files. The selects for different platforms are removed, as a tradeoff,
we take a single- to low double-digit hit in wheel sizes (between 5 percent
zipped and 12% installed on MacOS 13.4).
Bumps nanobind to v0.2.0, the latest stable version to include all
features needed to create the GBM bindings. Deprecated names in v0.2.0
were migrated to their new counterparts.
Linkopts for macOS were changed to mirror the "endorsed" linker options
used in nanobind's CMake config, which were changed since the last
commit.
* End support for Python 3.7, update cibuildwheel and publish actions
Removes Python 3.7 from the support matrix, since it does not support
PEP590 vectorcalls.
Bumps the `cibuildwheel` and `pypa-publish` actions to their latest
available versions respectively.
* Add nanobind to the Bazel dependencies, add a BUILD file
The build file builds nanobind as a static `cc_library`. Currently,
the git SHA points to HEAD, since some necessary features have not
been included in a release yet.
* Delete pybind11 BUILD file
* Switch bindings implementation to nanobind
Switches over the binding tool to `nanobind` from `pybind11`. Most
changes in the build setup itself were drop-in replacements of existing
code changed to nanobind names, no new concepts needed to be
implemented.
Sets the minimum required macOS to 10.14 for full C++17 support. Also,
to avoid ambiguities in Bazel, build for macOS 11 on Mac ARM64.
* Use Bazel select for linker options
Guards against unknown linker option errors by selecting required
linker options for nanobind only on macOS, where they are relevant.
Other changes:
* Bump cibuildwheel action to v2.12.0
* Bump Bazel for aarch64 linux wheels to 6.0.0
* Remove C++17 flag from build files since it is present in setup.py `bazel build` command
* Bump nanobind commit to current HEAD (TBD: Bump to next stable release)
* Unbreak Windows builds of nanobind-based bindings
Guards compiler options behind a new `select` macro choosing between
MSVC and not MSVC.
Other changes:
* Inject the proper C++17 standard cxxopt in the `setup.py` build
command.
* Bump nanobind to current HEAD.
* Make `macos` a benchmark-wide condition, with public visibility to
allow its use in the nanobind BUILD file.
* Fall back to `nb::implicitly_convertible` for Counter construction
Since `benchmark::Counter` only has a constructor for `double`,
the nanobind `nb::init_implicit` template cannot be used. Therefore,
to support implicit construction from ints, we fall back to the
`nb::implicitly_convertible` template instead.
* Introduce warmup phase to BenchmarkRunner (#1130)
In order to account for caching effects in user
benchmarks introduce a new command line option
"--benchmark_min_warmup_time"
which allows to specify an amount of time for
which the benchmark should be run before results
are meaningful.
* Adapt review suggestions regarding introduction of warmup phase (#1130)
* Fix BM_CHECK call in MinWarmUpTime (#1130)
* Fix comment on requirements of MinWarmUpTime (#1130)
* Add basic description of warmup phase mechanism to user guide (#1130)
If someone or something ever needs the dynamic library as a Bazel build
artifact, we can figure that out for them then, but right now, there is
no strong reason to be wrangling various `export.h`-controlling macros.
Fixes#1372.
This commit fixes the previous breakage in Python wheel builds for Windows by adding a `local_defines` field to the `cc_binary` generated in the process of the Python bindings builds. This define is being
picked up by the auto-generated export header `benchmark_export.h`, unsetting the benchmark export macro.
Furthermore, the `linkshared` and `linkstatic` attributes are passed booleans now instead of ints, making the command more directly interpretable to the human reader.
The fix was suggested by @junyer in the corresponding GitHub issue thread https://github.com/google/benchmark/issues/1367 - thank you for the suggestion!
* [benchmark] Introduce accessors for currently public data members `threads` and `thread_index`
Also deprecate the direct access to these fields.
Motivations:
Our internal library provides accessors for those fields because the styleguide disalows accessing classes' data members directly (even if they're const).
There has been a discussion to simply move internal library to make its fields public similarly to the OSS version here, however, the concern is that these kinds of direct access would prevent many types of future design changes (eg how/whether the values would be stored in the data member)
I think the concensus in the end is that we'd change the external library for this case.
AFAIK, there are three important third_party users that we'd need to migrate: tcmalloc, abseil and tensorflow.
Please let me know if I'm missing anyone else.
* [benchmark] Introduce accessors for currently public data members `threads` and `thread_index`
Also deprecate the direct access to these fields.
Motivations:
Our internal library provides accessors for those fields because the styleguide disalows accessing classes' data members directly (even if they're const).
There has been a discussion to simply move internal library to make its fields public similarly to the OSS version here, however, the concern is that these kinds of direct access would prevent many types of future design changes (eg how/whether the values would be stored in the data member)
I think the concensus in the end is that we'd change the external library for this case.
AFAIK, there are three important third_party users that we'd need to migrate: tcmalloc, abseil and tensorflow.
Please let me know if I'm missing anyone else.
* [benchmark] Introduce accessors for currently public data members `threads` and `thread_index`
Also deprecate direct access to `.thread_index` and make threads a private field
Motivations:
Our internal library provides accessors for those fields because the styleguide disalows accessing classes' data members directly (even if they're const).
There has been a discussion to simply move internal library to make its fields public similarly to the OSS version here, however, the concern is that these kinds of direct access would prevent many types of future design changes (eg how/whether the values would be stored in the data member)
I think the concensus in the end is that we'd change the external library for this case.
AFAIK, there are three important third_party users that we'd need to migrate: tcmalloc, abseil and tensorflow.
Please let me know if I'm missing anyone else.
* [benchmark] Introduce accessors for currently public data members `threads` and `thread_index`
Also deprecate direct access to `.thread_index` and make threads a private field
Motivations:
Our internal library provides accessors for those fields because the styleguide disalows accessing classes' data members directly (even if they're const).
There has been a discussion to simply move internal library to make its fields public similarly to the OSS version here, however, the concern is that these kinds of direct access would prevent many types of future design changes (eg how/whether the values would be stored in the data member)
I think the concensus in the end is that we'd change the external library for this case.
AFAIK, there are three important third_party users that we'd need to migrate: tcmalloc, abseil and tensorflow.
Please let me know if I'm missing anyone else.
* [benchmark] Introduce accessors for currently public data members `threads` and `thread_index`
Also deprecate direct access to `.thread_index` and make threads a private field
Motivations:
Our internal library provides accessors for those fields because the styleguide disalows accessing classes' data members directly (even if they're const).
There has been a discussion to simply move internal library to make its fields public similarly to the OSS version here, however, the concern is that these kinds of direct access would prevent many types of future design changes (eg how/whether the values would be stored in the data member)
I think the concensus in the end is that we'd change the external library for this case.
AFAIK, there are three important third_party users that we'd need to migrate: tcmalloc, abseil and tensorflow.
Please let me know if I'm missing anyone else.
* [benchmark] Introduce accessors for currently public data members `threads` and `thread_index`
Also deprecate direct access to `.thread_index` and make threads a private field
Motivations:
Our internal library provides accessors for those fields because the styleguide disalows accessing classes' data members directly (even if they're const).
There has been a discussion to simply move internal library to make its fields public similarly to the OSS version here, however, the concern is that these kinds of direct access would prevent many types of future design changes (eg how/whether the values would be stored in the data member)
I think the concensus in the end is that we'd change the external library for this case.
AFAIK, there are three important third_party users that we'd need to migrate: tcmalloc, abseil and tensorflow.
Please let me know if I'm missing anyone else.
* [benchmark] Introduce accessors for currently public data members `threads` and `thread_index`
Also deprecate direct access to `.thread_index` and make threads a private field
Motivations:
Our internal library provides accessors for those fields because the styleguide disalows accessing classes' data members directly (even if they're const).
There has been a discussion to simply move internal library to make its fields public similarly to the OSS version here, however, the concern is that these kinds of direct access would prevent many types of future design changes (eg how/whether the values would be stored in the data member)
I think the concensus in the end is that we'd change the external library for this case.
AFAIK, there are three important third_party users that we'd need to migrate: tcmalloc, abseil and tensorflow.
Please let me know if I'm missing anyone else.
* [benchmark] Introduce accessors for currently public data members `threads` and `thread_index`
Also deprecate direct access to `.thread_index` and make threads a private field
Motivations:
Our internal library provides accessors for those fields because the styleguide disalows accessing classes' data members directly (even if they're const).
There has been a discussion to simply move internal library to make its fields public similarly to the OSS version here, however, the concern is that these kinds of direct access would prevent many types of future design changes (eg how/whether the values would be stored in the data member)
I think the concensus in the end is that we'd change the external library for this case.
AFAIK, there are three important third_party users that we'd need to migrate: tcmalloc, abseil and tensorflow.
Please let me know if I'm missing anyone else.
* [benchmark] Introduce accessors for currently public data members `threads` and `thread_index`
Also deprecate direct access to `.thread_index` and make threads a private field
Motivations:
Our internal library provides accessors for those fields because the styleguide disalows accessing classes' data members directly (even if they're const).
There has been a discussion to simply move internal library to make its fields public similarly to the OSS version here, however, the concern is that these kinds of direct access would prevent many types of future design changes (eg how/whether the values would be stored in the data member)
I think the concensus in the end is that we'd change the external library for this case.
AFAIK, there are three important third_party users that we'd need to migrate: tcmalloc, abseil and tensorflow.
Please let me know if I'm missing anyone else.
* [benchmark] Introduce accessors for currently public data members `threads` and `thread_index`
Also deprecate direct access to `.thread_index` and make threads a private field
Motivations:
Our internal library provides accessors for those fields because the styleguide disalows accessing classes' data members directly (even if they're const).
There has been a discussion to simply move internal library to make its fields public similarly to the OSS version here, however, the concern is that these kinds of direct access would prevent many types of future design changes (eg how/whether the values would be stored in the data member)
I think the concensus in the end is that we'd change the external library for this case.
AFAIK, there are three important third_party users that we'd need to migrate: tcmalloc, abseil and tensorflow.
Please let me know if I'm missing anyone else.
* 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>
* Bind Counter to Python
* Bind State methods to Python
* Bind state.counters to Python
* Import _benchmark.Counter
* Add Python example of state usage
Co-authored-by: Dominic Hamon <dominichamon@users.noreply.github.com>
* Create pylint.yml
* improve file matching
* fix some pylint issues
* run on PR and push (force on master only)
* more pylint fixes
* suppress noisy exit code and filter to fatals
* add conan as a dep so the module is importable
* fix lint error on unreachable branch
Dominic Hamon