Fix #1149 - bytes, bytearray types managed #1156
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| //// Create ArrayOf object with appropriate dimensions and data | ||
| // indexType r = dims[0]; | ||
| // indexType c = dims[0] + PyArray_NDIM(pyArray); | ||
| // Dimensions arrayDims(r, c); | ||
| // ArrayOf res(nelsonType, arrayDims, dataPtr); | ||
| // results << res; | ||
| // return true; |
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Commented-out code Note
| ////// Get array dimensions and data pointer | ||
| // npy_intp* dims = PyArray_DIMS(pyArray); | ||
| // T* dataPtr = (T*)PyArray_DATA(pyArray); | ||
| // ArrayOf res(nelsonType, Dimensions(1, 4), dataPtr); | ||
| // results << res; | ||
| // return true; |
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Commented-out code Note
| // bool isarray = PyArray_Check(pyObject); | ||
| // PyArrayObject* pyArray = (PyArrayObject*)pyObject; |
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Commented-out code Note
| PythonType pyType = getPythonType(pyObject); | ||
| switch (pyType) { | ||
| case PY_NUMPY_TYPE: { | ||
| PyObject* numpy = NLSPyImport_ImportModule("numpy.core._multiarray_umath"); |
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Unused local variable Note
| return ArrayOf(NLS_LOGICAL, dims, ptr); | ||
| void* data = (void*)pyBuffer.buf; | ||
| void* ptr = (void*)ArrayOf::allocateArrayOf(nelsonType, dims.getElementCount()); | ||
| ArrayOf res = ArrayOf(nelsonType, dims, ptr); |
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