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Merge branch 'pybind:master' into master
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commit
140463af93
2
.github/CONTRIBUTING.md
vendored
2
.github/CONTRIBUTING.md
vendored
@ -135,7 +135,7 @@ The valid options are:
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* Use `-G` and the name of a generator to use something different. `cmake
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* Use `-G` and the name of a generator to use something different. `cmake
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--help` lists the generators available.
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--help` lists the generators available.
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- On Unix, setting `CMAKE_GENERATER=Ninja` in your environment will give
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- On Unix, setting `CMAKE_GENERATER=Ninja` in your environment will give
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you automatic mulithreading on all your CMake projects!
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you automatic multithreading on all your CMake projects!
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* Open the `CMakeLists.txt` with QtCreator to generate for that IDE.
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* Open the `CMakeLists.txt` with QtCreator to generate for that IDE.
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* You can use `-DCMAKE_EXPORT_COMPILE_COMMANDS=ON` to generate the `.json` file
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* You can use `-DCMAKE_EXPORT_COMPILE_COMMANDS=ON` to generate the `.json` file
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that some tools expect.
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that some tools expect.
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@ -32,13 +32,13 @@ repos:
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# Black, the code formatter, natively supports pre-commit
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# Black, the code formatter, natively supports pre-commit
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- repo: https://github.com/psf/black-pre-commit-mirror
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- repo: https://github.com/psf/black-pre-commit-mirror
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rev: "23.7.0" # Keep in sync with blacken-docs
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rev: "23.9.1" # Keep in sync with blacken-docs
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hooks:
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hooks:
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- id: black
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- id: black
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# Ruff, the Python auto-correcting linter written in Rust
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# Ruff, the Python auto-correcting linter written in Rust
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- repo: https://github.com/astral-sh/ruff-pre-commit
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- repo: https://github.com/astral-sh/ruff-pre-commit
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rev: v0.0.287
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rev: v0.0.292
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hooks:
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hooks:
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- id: ruff
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- id: ruff
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args: ["--fix", "--show-fixes"]
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args: ["--fix", "--show-fixes"]
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@ -124,7 +124,7 @@ repos:
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# Use tools/codespell_ignore_lines_from_errors.py
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# Use tools/codespell_ignore_lines_from_errors.py
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# to rebuild .codespell-ignore-lines
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# to rebuild .codespell-ignore-lines
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- repo: https://github.com/codespell-project/codespell
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- repo: https://github.com/codespell-project/codespell
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rev: "v2.2.5"
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rev: "v2.2.6"
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hooks:
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hooks:
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- id: codespell
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- id: codespell
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exclude: ".supp$"
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exclude: ".supp$"
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@ -132,7 +132,7 @@ repos:
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# Check for common shell mistakes
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# Check for common shell mistakes
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- repo: https://github.com/shellcheck-py/shellcheck-py
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- repo: https://github.com/shellcheck-py/shellcheck-py
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rev: "v0.9.0.5"
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rev: "v0.9.0.6"
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hooks:
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hooks:
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- id: shellcheck
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- id: shellcheck
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@ -147,7 +147,7 @@ repos:
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# PyLint has native support - not always usable, but works for us
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# PyLint has native support - not always usable, but works for us
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- repo: https://github.com/PyCQA/pylint
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- repo: https://github.com/PyCQA/pylint
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rev: "v3.0.0a7"
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rev: "v3.0.0"
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hooks:
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hooks:
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- id: pylint
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- id: pylint
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files: ^pybind11
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files: ^pybind11
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@ -65,7 +65,7 @@ constexpr bool is_alias(void *) {
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}
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}
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// Constructs and returns a new object; if the given arguments don't map to a constructor, we fall
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// Constructs and returns a new object; if the given arguments don't map to a constructor, we fall
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// back to brace aggregate initiailization so that for aggregate initialization can be used with
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// back to brace aggregate initialization so that for aggregate initialization can be used with
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// py::init, e.g. `py::init<int, int>` to initialize a `struct T { int a; int b; }`. For
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// py::init, e.g. `py::init<int, int>` to initialize a `struct T { int a; int b; }`. For
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// non-aggregate types, we need to use an ordinary T(...) constructor (invoking as `T{...}` usually
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// non-aggregate types, we need to use an ordinary T(...) constructor (invoking as `T{...}` usually
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// works, but will not do the expected thing when `T` has an `initializer_list<T>` constructor).
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// works, but will not do the expected thing when `T` has an `initializer_list<T>` constructor).
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@ -298,7 +298,7 @@ def test_constructors():
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results = m.converting_constructors([1, 2, 3])
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results = m.converting_constructors([1, 2, 3])
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for a in results.values():
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for a in results.values():
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np.testing.assert_array_equal(a, [1, 2, 3])
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np.testing.assert_array_equal(a, [1, 2, 3])
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assert results["array"].dtype == np.int_
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assert results["array"].dtype == np.dtype(int)
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assert results["array_t<int32>"].dtype == np.int32
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assert results["array_t<int32>"].dtype == np.int32
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assert results["array_t<double>"].dtype == np.float64
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assert results["array_t<double>"].dtype == np.float64
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