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Use new style __init__ in numpy docs (#2316)
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@ -81,7 +81,7 @@ buffer objects (e.g. a NumPy matrix).
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constexpr bool rowMajor = Matrix::Flags & Eigen::RowMajorBit;
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constexpr bool rowMajor = Matrix::Flags & Eigen::RowMajorBit;
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py::class_<Matrix>(m, "Matrix", py::buffer_protocol())
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py::class_<Matrix>(m, "Matrix", py::buffer_protocol())
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.def("__init__", [](Matrix &m, py::buffer b) {
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.def("__init__", [](py::buffer b) {
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typedef Eigen::Stride<Eigen::Dynamic, Eigen::Dynamic> Strides;
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typedef Eigen::Stride<Eigen::Dynamic, Eigen::Dynamic> Strides;
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/* Request a buffer descriptor from Python */
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/* Request a buffer descriptor from Python */
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@ -101,7 +101,7 @@ buffer objects (e.g. a NumPy matrix).
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auto map = Eigen::Map<Matrix, 0, Strides>(
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auto map = Eigen::Map<Matrix, 0, Strides>(
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static_cast<Scalar *>(info.ptr), info.shape[0], info.shape[1], strides);
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static_cast<Scalar *>(info.ptr), info.shape[0], info.shape[1], strides);
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new (&m) Matrix(map);
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return Matrix(m);
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});
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});
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For reference, the ``def_buffer()`` call for this Eigen data type should look
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For reference, the ``def_buffer()`` call for this Eigen data type should look
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