I ran into this today, is there any reason (apart from code size and compile time) against supporting, e.g., also 5 and 6 dims?
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const auto dispatch = [](const py::array_t<T> &src_, View &&dst_) { |
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switch (src_.ndim()) { |
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case 0: |
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return copy_flattened_0d<convert>(src_, std::forward<View>(dst_)); |
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case 1: |
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return copy_flattened_1d<convert>(src_, std::forward<View>(dst_)); |
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case 2: |
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return copy_flattened_2d<convert>(src_, std::forward<View>(dst_)); |
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case 3: |
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return copy_flattened_3d<convert>(src_, std::forward<View>(dst_)); |
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case 4: |
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return copy_flattened_4d<convert>(src_, std::forward<View>(dst_)); |
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default: |
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throw std::runtime_error("Numpy array has more dimensions than supported " |
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"in the current implementation."); |