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docs: use sorted(glob()) in example setup.py (#2561)
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@ -31,13 +31,14 @@ An example of a ``setup.py`` using pybind11's helpers:
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.. code-block:: python
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.. code-block:: python
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from glob import glob
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from setuptools import setup
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from setuptools import setup
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from pybind11.setup_helpers import Pybind11Extension
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from pybind11.setup_helpers import Pybind11Extension
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ext_modules = [
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ext_modules = [
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Pybind11Extension(
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Pybind11Extension(
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"python_example",
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"python_example",
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["src/main.cpp"],
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sorted(glob("src/*.cpp")), # Sort source files for reproducibility
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),
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),
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]
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]
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@ -52,13 +53,14 @@ that is supported via a ``build_ext`` command override; it will only affect
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.. code-block:: python
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.. code-block:: python
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from glob import glob
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from setuptools import setup
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from setuptools import setup
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from pybind11.setup_helpers import Pybind11Extension, build_ext
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from pybind11.setup_helpers import Pybind11Extension, build_ext
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ext_modules = [
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ext_modules = [
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Pybind11Extension(
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Pybind11Extension(
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"python_example",
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"python_example",
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["src/main.cpp"],
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sorted(glob("src/*.cpp")),
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),
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),
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]
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]
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@ -71,12 +73,14 @@ that is supported via a ``build_ext`` command override; it will only affect
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Since pybind11 does not require NumPy when building, a light-weight replacement
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Since pybind11 does not require NumPy when building, a light-weight replacement
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for NumPy's parallel compilation distutils tool is included. Use it like this:
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for NumPy's parallel compilation distutils tool is included. Use it like this:
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.. code-block:: python
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from pybind11.setup_helpers import ParallelCompile
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from pybind11.setup_helpers import ParallelCompile
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# Optional multithreaded build
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# Optional multithreaded build
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ParallelCompile("NPY_NUM_BUILD_JOBS").install()
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ParallelCompile("NPY_NUM_BUILD_JOBS").install()
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setup(...
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setup(...)
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The argument is the name of an environment variable to control the number of
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The argument is the name of an environment variable to control the number of
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threads, such as ``NPY_NUM_BUILD_JOBS`` (as used by NumPy), though you can set
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threads, such as ``NPY_NUM_BUILD_JOBS`` (as used by NumPy), though you can set
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