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Add a few more dtype tests
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@ -218,8 +218,14 @@ py::list test_dtype_ctors() {
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return list;
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}
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void test_dtype_methods() {
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py::list test_dtype_methods() {
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py::list list;
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auto dt1 = py::dtype::of<int32_t>();
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auto dt2 = py::dtype::of<SimpleStruct>();
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list.append(dt1); list.append(dt2);
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list.append(py::bool_(dt1.has_fields())); list.append(py::bool_(dt2.has_fields()));
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list.append(py::int_(dt1.itemsize())); list.append(py::int_(dt2.itemsize()));
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return list;
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}
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void init_ex_numpy_dtypes(py::module &m) {
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@ -7,7 +7,7 @@ from example import (
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create_rec_simple, create_rec_packed, create_rec_nested, print_format_descriptors,
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print_rec_simple, print_rec_packed, print_rec_nested, print_dtypes, get_format_unbound,
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create_rec_partial, create_rec_partial_nested, create_string_array, print_string_array,
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test_array_ctors, test_dtype_ctors
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test_array_ctors, test_dtype_ctors, test_dtype_methods
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)
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@ -92,3 +92,6 @@ d1 = np.dtype({'names': ['a', 'b'], 'formats': ['int32', 'float64'],
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d2 = np.dtype([('a', 'i4'), ('b', 'f4')])
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assert test_dtype_ctors() == [np.dtype('int32'), np.dtype('float64'),
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np.dtype('bool'), d1, d1, np.dtype('uint32'), d2]
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assert test_dtype_methods() == [np.dtype('int32'), simple_dtype, False, True,
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np.dtype('int32').itemsize, simple_dtype.itemsize]
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