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Minor documentation clarification in numpy.rst (#1356)
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@ -261,7 +261,7 @@ simply using ``vectorize``).
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namespace py = pybind11;
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namespace py = pybind11;
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py::array_t<double> add_arrays(py::array_t<double> input1, py::array_t<double> input2) {
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py::array_t<double> add_arrays(py::array_t<double> input1, py::array_t<double> input2) {
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auto buf1 = input1.request(), buf2 = input2.request();
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py::buffer_info buf1 = input1.request(), buf2 = input2.request();
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if (buf1.ndim != 1 || buf2.ndim != 1)
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if (buf1.ndim != 1 || buf2.ndim != 1)
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throw std::runtime_error("Number of dimensions must be one");
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throw std::runtime_error("Number of dimensions must be one");
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@ -272,7 +272,7 @@ simply using ``vectorize``).
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/* No pointer is passed, so NumPy will allocate the buffer */
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/* No pointer is passed, so NumPy will allocate the buffer */
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auto result = py::array_t<double>(buf1.size);
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auto result = py::array_t<double>(buf1.size);
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auto buf3 = result.request();
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py::buffer_info buf3 = result.request();
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double *ptr1 = (double *) buf1.ptr,
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double *ptr1 = (double *) buf1.ptr,
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*ptr2 = (double *) buf2.ptr,
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*ptr2 = (double *) buf2.ptr,
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