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docs: pybind11/numpy.h does not require numpy at build time. (#2720)
This is nice enough to be mentioned explicitly in the docs.
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@ -150,8 +150,10 @@ NumPy array containing double precision values.
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When it is invoked with a different type (e.g. an integer or a list of
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integers), the binding code will attempt to cast the input into a NumPy array
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of the requested type. Note that this feature requires the
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:file:`pybind11/numpy.h` header to be included.
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of the requested type. This feature requires the :file:`pybind11/numpy.h`
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header to be included. Note that :file:`pybind11/numpy.h` does not depend on
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the NumPy headers, and thus can be used without declaring a build-time
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dependency on NumPy; NumPy>=1.7.0 is a runtime dependency.
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Data in NumPy arrays is not guaranteed to packed in a dense manner;
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furthermore, entries can be separated by arbitrary column and row strides.
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