1028 lines
40 KiB
Python
1028 lines
40 KiB
Python
# doctest
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r''' Test the .npy file format.
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Set up:
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>>> import sys
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>>> from io import BytesIO
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>>> from numpy.lib import format
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>>>
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>>> scalars = [
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... np.uint8,
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... np.int8,
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... np.uint16,
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... np.int16,
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... np.uint32,
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... np.int32,
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... np.uint64,
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... np.int64,
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... np.float32,
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... np.float64,
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... np.complex64,
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... np.complex128,
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... object,
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... ]
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>>>
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>>> basic_arrays = []
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>>>
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>>> for scalar in scalars:
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... for endian in '<>':
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... dtype = np.dtype(scalar).newbyteorder(endian)
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... basic = np.arange(15).astype(dtype)
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... basic_arrays.extend([
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... np.array([], dtype=dtype),
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... np.array(10, dtype=dtype),
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... basic,
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... basic.reshape((3,5)),
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... basic.reshape((3,5)).T,
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... basic.reshape((3,5))[::-1,::2],
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... ])
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...
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>>>
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>>> Pdescr = [
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... ('x', 'i4', (2,)),
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... ('y', 'f8', (2, 2)),
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... ('z', 'u1')]
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>>>
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>>>
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>>> PbufferT = [
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... ([3,2], [[6.,4.],[6.,4.]], 8),
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... ([4,3], [[7.,5.],[7.,5.]], 9),
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... ]
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>>>
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>>>
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>>> Ndescr = [
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... ('x', 'i4', (2,)),
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... ('Info', [
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... ('value', 'c16'),
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... ('y2', 'f8'),
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... ('Info2', [
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... ('name', 'S2'),
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... ('value', 'c16', (2,)),
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... ('y3', 'f8', (2,)),
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... ('z3', 'u4', (2,))]),
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... ('name', 'S2'),
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... ('z2', 'b1')]),
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... ('color', 'S2'),
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... ('info', [
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... ('Name', 'U8'),
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... ('Value', 'c16')]),
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... ('y', 'f8', (2, 2)),
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... ('z', 'u1')]
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>>>
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>>>
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>>> NbufferT = [
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... ([3,2], (6j, 6., ('nn', [6j,4j], [6.,4.], [1,2]), 'NN', True), 'cc', ('NN', 6j), [[6.,4.],[6.,4.]], 8),
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... ([4,3], (7j, 7., ('oo', [7j,5j], [7.,5.], [2,1]), 'OO', False), 'dd', ('OO', 7j), [[7.,5.],[7.,5.]], 9),
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... ]
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>>>
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>>>
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>>> record_arrays = [
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... np.array(PbufferT, dtype=np.dtype(Pdescr).newbyteorder('<')),
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... np.array(NbufferT, dtype=np.dtype(Ndescr).newbyteorder('<')),
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... np.array(PbufferT, dtype=np.dtype(Pdescr).newbyteorder('>')),
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... np.array(NbufferT, dtype=np.dtype(Ndescr).newbyteorder('>')),
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... ]
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Test the magic string writing.
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>>> format.magic(1, 0)
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'\x93NUMPY\x01\x00'
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>>> format.magic(0, 0)
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'\x93NUMPY\x00\x00'
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>>> format.magic(255, 255)
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'\x93NUMPY\xff\xff'
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>>> format.magic(2, 5)
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'\x93NUMPY\x02\x05'
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Test the magic string reading.
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>>> format.read_magic(BytesIO(format.magic(1, 0)))
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(1, 0)
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>>> format.read_magic(BytesIO(format.magic(0, 0)))
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(0, 0)
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>>> format.read_magic(BytesIO(format.magic(255, 255)))
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(255, 255)
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>>> format.read_magic(BytesIO(format.magic(2, 5)))
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(2, 5)
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Test the header writing.
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>>> for arr in basic_arrays + record_arrays:
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... f = BytesIO()
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... format.write_array_header_1_0(f, arr) # XXX: arr is not a dict, items gets called on it
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... print(repr(f.getvalue()))
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...
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"F\x00{'descr': '|u1', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '|u1', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '|u1', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '|u1', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '|u1', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '|u1', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '|u1', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '|u1', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '|u1', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '|u1', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '|u1', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '|u1', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '|i1', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '|i1', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '|i1', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '|i1', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '|i1', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '|i1', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '|i1', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '|i1', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '|i1', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '|i1', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '|i1', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '|i1', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '<u2', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '<u2', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '<u2', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '<u2', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '<u2', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '<u2', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '>u2', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '>u2', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '>u2', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '>u2', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '>u2', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '>u2', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '<i2', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '<i2', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '<i2', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '<i2', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '<i2', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '<i2', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '>i2', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '>i2', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '>i2', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '>i2', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '>i2', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '>i2', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '<u4', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '<u4', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '<u4', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '<u4', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '<u4', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '<u4', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '>u4', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '>u4', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '>u4', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '>u4', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '>u4', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '>u4', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '<i4', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '<i4', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '<i4', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '<i4', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '<i4', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '<i4', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '>i4', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '>i4', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '>i4', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '>i4', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '>i4', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '>i4', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '<u8', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '<u8', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '<u8', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '<u8', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '<u8', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '<u8', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '>u8', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '>u8', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '>u8', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '>u8', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '>u8', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '>u8', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '<i8', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '<i8', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '<i8', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '<i8', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '<i8', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '<i8', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '>i8', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '>i8', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '>i8', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '>i8', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '>i8', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '>i8', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '<f4', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '<f4', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '<f4', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '<f4', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '<f4', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '<f4', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '>f4', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '>f4', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '>f4', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '>f4', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '>f4', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '>f4', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '<f8', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '<f8', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '<f8', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '<f8', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '<f8', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '<f8', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '>f8', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': '>f8', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '>f8', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '>f8', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '>f8', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '>f8', 'fortran_order': False, 'shape': (3, 3)} \n"
|
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"F\x00{'descr': '<c8', 'fortran_order': False, 'shape': (0,)} \n"
|
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"F\x00{'descr': '<c8', 'fortran_order': False, 'shape': ()} \n"
|
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"F\x00{'descr': '<c8', 'fortran_order': False, 'shape': (15,)} \n"
|
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"F\x00{'descr': '<c8', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '<c8', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '<c8', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': '>c8', 'fortran_order': False, 'shape': (0,)} \n"
|
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"F\x00{'descr': '>c8', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': '>c8', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '>c8', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '>c8', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '>c8', 'fortran_order': False, 'shape': (3, 3)} \n"
|
|
"F\x00{'descr': '<c16', 'fortran_order': False, 'shape': (0,)} \n"
|
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"F\x00{'descr': '<c16', 'fortran_order': False, 'shape': ()} \n"
|
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"F\x00{'descr': '<c16', 'fortran_order': False, 'shape': (15,)} \n"
|
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"F\x00{'descr': '<c16', 'fortran_order': False, 'shape': (3, 5)} \n"
|
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"F\x00{'descr': '<c16', 'fortran_order': True, 'shape': (5, 3)} \n"
|
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"F\x00{'descr': '<c16', 'fortran_order': False, 'shape': (3, 3)} \n"
|
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"F\x00{'descr': '>c16', 'fortran_order': False, 'shape': (0,)} \n"
|
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"F\x00{'descr': '>c16', 'fortran_order': False, 'shape': ()} \n"
|
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"F\x00{'descr': '>c16', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': '>c16', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': '>c16', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': '>c16', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': 'O', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': 'O', 'fortran_order': False, 'shape': ()} \n"
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"F\x00{'descr': 'O', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': 'O', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': 'O', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': 'O', 'fortran_order': False, 'shape': (3, 3)} \n"
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"F\x00{'descr': 'O', 'fortran_order': False, 'shape': (0,)} \n"
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"F\x00{'descr': 'O', 'fortran_order': False, 'shape': ()} \n"
|
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"F\x00{'descr': 'O', 'fortran_order': False, 'shape': (15,)} \n"
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"F\x00{'descr': 'O', 'fortran_order': False, 'shape': (3, 5)} \n"
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"F\x00{'descr': 'O', 'fortran_order': True, 'shape': (5, 3)} \n"
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"F\x00{'descr': 'O', 'fortran_order': False, 'shape': (3, 3)} \n"
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"v\x00{'descr': [('x', '<i4', (2,)), ('y', '<f8', (2, 2)), ('z', '|u1')],\n 'fortran_order': False,\n 'shape': (2,)} \n"
|
|
"\x16\x02{'descr': [('x', '<i4', (2,)),\n ('Info',\n [('value', '<c16'),\n ('y2', '<f8'),\n ('Info2',\n [('name', '|S2'),\n ('value', '<c16', (2,)),\n ('y3', '<f8', (2,)),\n ('z3', '<u4', (2,))]),\n ('name', '|S2'),\n ('z2', '|b1')]),\n ('color', '|S2'),\n ('info', [('Name', '<U8'), ('Value', '<c16')]),\n ('y', '<f8', (2, 2)),\n ('z', '|u1')],\n 'fortran_order': False,\n 'shape': (2,)} \n"
|
|
"v\x00{'descr': [('x', '>i4', (2,)), ('y', '>f8', (2, 2)), ('z', '|u1')],\n 'fortran_order': False,\n 'shape': (2,)} \n"
|
|
"\x16\x02{'descr': [('x', '>i4', (2,)),\n ('Info',\n [('value', '>c16'),\n ('y2', '>f8'),\n ('Info2',\n [('name', '|S2'),\n ('value', '>c16', (2,)),\n ('y3', '>f8', (2,)),\n ('z3', '>u4', (2,))]),\n ('name', '|S2'),\n ('z2', '|b1')]),\n ('color', '|S2'),\n ('info', [('Name', '>U8'), ('Value', '>c16')]),\n ('y', '>f8', (2, 2)),\n ('z', '|u1')],\n 'fortran_order': False,\n 'shape': (2,)} \n"
|
|
'''
|
|
import sys
|
|
import os
|
|
import warnings
|
|
import pytest
|
|
from io import BytesIO
|
|
|
|
import numpy as np
|
|
from numpy.testing import (
|
|
assert_, assert_array_equal, assert_raises, assert_raises_regex,
|
|
assert_warns, IS_PYPY, IS_WASM
|
|
)
|
|
from numpy.testing._private.utils import requires_memory
|
|
from numpy.lib import format
|
|
|
|
|
|
# Generate some basic arrays to test with.
|
|
scalars = [
|
|
np.uint8,
|
|
np.int8,
|
|
np.uint16,
|
|
np.int16,
|
|
np.uint32,
|
|
np.int32,
|
|
np.uint64,
|
|
np.int64,
|
|
np.float32,
|
|
np.float64,
|
|
np.complex64,
|
|
np.complex128,
|
|
object,
|
|
]
|
|
basic_arrays = []
|
|
for scalar in scalars:
|
|
for endian in '<>':
|
|
dtype = np.dtype(scalar).newbyteorder(endian)
|
|
basic = np.arange(1500).astype(dtype)
|
|
basic_arrays.extend([
|
|
# Empty
|
|
np.array([], dtype=dtype),
|
|
# Rank-0
|
|
np.array(10, dtype=dtype),
|
|
# 1-D
|
|
basic,
|
|
# 2-D C-contiguous
|
|
basic.reshape((30, 50)),
|
|
# 2-D F-contiguous
|
|
basic.reshape((30, 50)).T,
|
|
# 2-D non-contiguous
|
|
basic.reshape((30, 50))[::-1, ::2],
|
|
])
|
|
|
|
# More complicated record arrays.
|
|
# This is the structure of the table used for plain objects:
|
|
#
|
|
# +-+-+-+
|
|
# |x|y|z|
|
|
# +-+-+-+
|
|
|
|
# Structure of a plain array description:
|
|
Pdescr = [
|
|
('x', 'i4', (2,)),
|
|
('y', 'f8', (2, 2)),
|
|
('z', 'u1')]
|
|
|
|
# A plain list of tuples with values for testing:
|
|
PbufferT = [
|
|
# x y z
|
|
([3, 2], [[6., 4.], [6., 4.]], 8),
|
|
([4, 3], [[7., 5.], [7., 5.]], 9),
|
|
]
|
|
|
|
|
|
# This is the structure of the table used for nested objects (DON'T PANIC!):
|
|
#
|
|
# +-+---------------------------------+-----+----------+-+-+
|
|
# |x|Info |color|info |y|z|
|
|
# | +-----+--+----------------+----+--+ +----+-----+ | |
|
|
# | |value|y2|Info2 |name|z2| |Name|Value| | |
|
|
# | | | +----+-----+--+--+ | | | | | | |
|
|
# | | | |name|value|y3|z3| | | | | | | |
|
|
# +-+-----+--+----+-----+--+--+----+--+-----+----+-----+-+-+
|
|
#
|
|
|
|
# The corresponding nested array description:
|
|
Ndescr = [
|
|
('x', 'i4', (2,)),
|
|
('Info', [
|
|
('value', 'c16'),
|
|
('y2', 'f8'),
|
|
('Info2', [
|
|
('name', 'S2'),
|
|
('value', 'c16', (2,)),
|
|
('y3', 'f8', (2,)),
|
|
('z3', 'u4', (2,))]),
|
|
('name', 'S2'),
|
|
('z2', 'b1')]),
|
|
('color', 'S2'),
|
|
('info', [
|
|
('Name', 'U8'),
|
|
('Value', 'c16')]),
|
|
('y', 'f8', (2, 2)),
|
|
('z', 'u1')]
|
|
|
|
NbufferT = [
|
|
# x Info color info y z
|
|
# value y2 Info2 name z2 Name Value
|
|
# name value y3 z3
|
|
([3, 2], (6j, 6., ('nn', [6j, 4j], [6., 4.], [1, 2]), 'NN', True),
|
|
'cc', ('NN', 6j), [[6., 4.], [6., 4.]], 8),
|
|
([4, 3], (7j, 7., ('oo', [7j, 5j], [7., 5.], [2, 1]), 'OO', False),
|
|
'dd', ('OO', 7j), [[7., 5.], [7., 5.]], 9),
|
|
]
|
|
|
|
record_arrays = [
|
|
np.array(PbufferT, dtype=np.dtype(Pdescr).newbyteorder('<')),
|
|
np.array(NbufferT, dtype=np.dtype(Ndescr).newbyteorder('<')),
|
|
np.array(PbufferT, dtype=np.dtype(Pdescr).newbyteorder('>')),
|
|
np.array(NbufferT, dtype=np.dtype(Ndescr).newbyteorder('>')),
|
|
np.zeros(1, dtype=[('c', ('<f8', (5,)), (2,))])
|
|
]
|
|
|
|
|
|
#BytesIO that reads a random number of bytes at a time
|
|
class BytesIOSRandomSize(BytesIO):
|
|
def read(self, size=None):
|
|
import random
|
|
size = random.randint(1, size)
|
|
return super().read(size)
|
|
|
|
|
|
def roundtrip(arr):
|
|
f = BytesIO()
|
|
format.write_array(f, arr)
|
|
f2 = BytesIO(f.getvalue())
|
|
arr2 = format.read_array(f2, allow_pickle=True)
|
|
return arr2
|
|
|
|
|
|
def roundtrip_randsize(arr):
|
|
f = BytesIO()
|
|
format.write_array(f, arr)
|
|
f2 = BytesIOSRandomSize(f.getvalue())
|
|
arr2 = format.read_array(f2)
|
|
return arr2
|
|
|
|
|
|
def roundtrip_truncated(arr):
|
|
f = BytesIO()
|
|
format.write_array(f, arr)
|
|
#BytesIO is one byte short
|
|
f2 = BytesIO(f.getvalue()[0:-1])
|
|
arr2 = format.read_array(f2)
|
|
return arr2
|
|
|
|
|
|
def assert_equal_(o1, o2):
|
|
assert_(o1 == o2)
|
|
|
|
|
|
def test_roundtrip():
|
|
for arr in basic_arrays + record_arrays:
|
|
arr2 = roundtrip(arr)
|
|
assert_array_equal(arr, arr2)
|
|
|
|
|
|
def test_roundtrip_randsize():
|
|
for arr in basic_arrays + record_arrays:
|
|
if arr.dtype != object:
|
|
arr2 = roundtrip_randsize(arr)
|
|
assert_array_equal(arr, arr2)
|
|
|
|
|
|
def test_roundtrip_truncated():
|
|
for arr in basic_arrays:
|
|
if arr.dtype != object:
|
|
assert_raises(ValueError, roundtrip_truncated, arr)
|
|
|
|
|
|
def test_long_str():
|
|
# check items larger than internal buffer size, gh-4027
|
|
long_str_arr = np.ones(1, dtype=np.dtype((str, format.BUFFER_SIZE + 1)))
|
|
long_str_arr2 = roundtrip(long_str_arr)
|
|
assert_array_equal(long_str_arr, long_str_arr2)
|
|
|
|
|
|
@pytest.mark.skipif(IS_WASM, reason="memmap doesn't work correctly")
|
|
@pytest.mark.slow
|
|
def test_memmap_roundtrip(tmpdir):
|
|
for i, arr in enumerate(basic_arrays + record_arrays):
|
|
if arr.dtype.hasobject:
|
|
# Skip these since they can't be mmap'ed.
|
|
continue
|
|
# Write it out normally and through mmap.
|
|
nfn = os.path.join(tmpdir, f'normal{i}.npy')
|
|
mfn = os.path.join(tmpdir, f'memmap{i}.npy')
|
|
with open(nfn, 'wb') as fp:
|
|
format.write_array(fp, arr)
|
|
|
|
fortran_order = (
|
|
arr.flags.f_contiguous and not arr.flags.c_contiguous)
|
|
ma = format.open_memmap(mfn, mode='w+', dtype=arr.dtype,
|
|
shape=arr.shape, fortran_order=fortran_order)
|
|
ma[...] = arr
|
|
ma.flush()
|
|
|
|
# Check that both of these files' contents are the same.
|
|
with open(nfn, 'rb') as fp:
|
|
normal_bytes = fp.read()
|
|
with open(mfn, 'rb') as fp:
|
|
memmap_bytes = fp.read()
|
|
assert_equal_(normal_bytes, memmap_bytes)
|
|
|
|
# Check that reading the file using memmap works.
|
|
ma = format.open_memmap(nfn, mode='r')
|
|
ma.flush()
|
|
|
|
|
|
def test_compressed_roundtrip(tmpdir):
|
|
arr = np.random.rand(200, 200)
|
|
npz_file = os.path.join(tmpdir, 'compressed.npz')
|
|
np.savez_compressed(npz_file, arr=arr)
|
|
with np.load(npz_file) as npz:
|
|
arr1 = npz['arr']
|
|
assert_array_equal(arr, arr1)
|
|
|
|
|
|
# aligned
|
|
dt1 = np.dtype('i1, i4, i1', align=True)
|
|
# non-aligned, explicit offsets
|
|
dt2 = np.dtype({'names': ['a', 'b'], 'formats': ['i4', 'i4'],
|
|
'offsets': [1, 6]})
|
|
# nested struct-in-struct
|
|
dt3 = np.dtype({'names': ['c', 'd'], 'formats': ['i4', dt2]})
|
|
# field with '' name
|
|
dt4 = np.dtype({'names': ['a', '', 'b'], 'formats': ['i4']*3})
|
|
# titles
|
|
dt5 = np.dtype({'names': ['a', 'b'], 'formats': ['i4', 'i4'],
|
|
'offsets': [1, 6], 'titles': ['aa', 'bb']})
|
|
# empty
|
|
dt6 = np.dtype({'names': [], 'formats': [], 'itemsize': 8})
|
|
|
|
@pytest.mark.parametrize("dt", [dt1, dt2, dt3, dt4, dt5, dt6])
|
|
def test_load_padded_dtype(tmpdir, dt):
|
|
arr = np.zeros(3, dt)
|
|
for i in range(3):
|
|
arr[i] = i + 5
|
|
npz_file = os.path.join(tmpdir, 'aligned.npz')
|
|
np.savez(npz_file, arr=arr)
|
|
with np.load(npz_file) as npz:
|
|
arr1 = npz['arr']
|
|
assert_array_equal(arr, arr1)
|
|
|
|
|
|
@pytest.mark.xfail(IS_WASM, reason="Emscripten NODEFS has a buggy dup")
|
|
def test_python2_python3_interoperability():
|
|
fname = 'win64python2.npy'
|
|
path = os.path.join(os.path.dirname(__file__), 'data', fname)
|
|
data = np.load(path)
|
|
assert_array_equal(data, np.ones(2))
|
|
|
|
def test_pickle_python2_python3():
|
|
# Test that loading object arrays saved on Python 2 works both on
|
|
# Python 2 and Python 3 and vice versa
|
|
data_dir = os.path.join(os.path.dirname(__file__), 'data')
|
|
|
|
expected = np.array([None, range, '\u512a\u826f',
|
|
b'\xe4\xb8\x8d\xe8\x89\xaf'],
|
|
dtype=object)
|
|
|
|
for fname in ['py2-objarr.npy', 'py2-objarr.npz',
|
|
'py3-objarr.npy', 'py3-objarr.npz']:
|
|
path = os.path.join(data_dir, fname)
|
|
|
|
for encoding in ['bytes', 'latin1']:
|
|
data_f = np.load(path, allow_pickle=True, encoding=encoding)
|
|
if fname.endswith('.npz'):
|
|
data = data_f['x']
|
|
data_f.close()
|
|
else:
|
|
data = data_f
|
|
|
|
if encoding == 'latin1' and fname.startswith('py2'):
|
|
assert_(isinstance(data[3], str))
|
|
assert_array_equal(data[:-1], expected[:-1])
|
|
# mojibake occurs
|
|
assert_array_equal(data[-1].encode(encoding), expected[-1])
|
|
else:
|
|
assert_(isinstance(data[3], bytes))
|
|
assert_array_equal(data, expected)
|
|
|
|
if fname.startswith('py2'):
|
|
if fname.endswith('.npz'):
|
|
data = np.load(path, allow_pickle=True)
|
|
assert_raises(UnicodeError, data.__getitem__, 'x')
|
|
data.close()
|
|
data = np.load(path, allow_pickle=True, fix_imports=False,
|
|
encoding='latin1')
|
|
assert_raises(ImportError, data.__getitem__, 'x')
|
|
data.close()
|
|
else:
|
|
assert_raises(UnicodeError, np.load, path,
|
|
allow_pickle=True)
|
|
assert_raises(ImportError, np.load, path,
|
|
allow_pickle=True, fix_imports=False,
|
|
encoding='latin1')
|
|
|
|
|
|
def test_pickle_disallow(tmpdir):
|
|
data_dir = os.path.join(os.path.dirname(__file__), 'data')
|
|
|
|
path = os.path.join(data_dir, 'py2-objarr.npy')
|
|
assert_raises(ValueError, np.load, path,
|
|
allow_pickle=False, encoding='latin1')
|
|
|
|
path = os.path.join(data_dir, 'py2-objarr.npz')
|
|
with np.load(path, allow_pickle=False, encoding='latin1') as f:
|
|
assert_raises(ValueError, f.__getitem__, 'x')
|
|
|
|
path = os.path.join(tmpdir, 'pickle-disabled.npy')
|
|
assert_raises(ValueError, np.save, path, np.array([None], dtype=object),
|
|
allow_pickle=False)
|
|
|
|
@pytest.mark.parametrize('dt', [
|
|
np.dtype(np.dtype([('a', np.int8),
|
|
('b', np.int16),
|
|
('c', np.int32),
|
|
], align=True),
|
|
(3,)),
|
|
np.dtype([('x', np.dtype({'names':['a','b'],
|
|
'formats':['i1','i1'],
|
|
'offsets':[0,4],
|
|
'itemsize':8,
|
|
},
|
|
(3,)),
|
|
(4,),
|
|
)]),
|
|
np.dtype([('x',
|
|
('<f8', (5,)),
|
|
(2,),
|
|
)]),
|
|
np.dtype([('x', np.dtype((
|
|
np.dtype((
|
|
np.dtype({'names':['a','b'],
|
|
'formats':['i1','i1'],
|
|
'offsets':[0,4],
|
|
'itemsize':8}),
|
|
(3,)
|
|
)),
|
|
(4,)
|
|
)))
|
|
]),
|
|
np.dtype([
|
|
('a', np.dtype((
|
|
np.dtype((
|
|
np.dtype((
|
|
np.dtype([
|
|
('a', int),
|
|
('b', np.dtype({'names':['a','b'],
|
|
'formats':['i1','i1'],
|
|
'offsets':[0,4],
|
|
'itemsize':8})),
|
|
]),
|
|
(3,),
|
|
)),
|
|
(4,),
|
|
)),
|
|
(5,),
|
|
)))
|
|
]),
|
|
])
|
|
|
|
def test_descr_to_dtype(dt):
|
|
dt1 = format.descr_to_dtype(dt.descr)
|
|
assert_equal_(dt1, dt)
|
|
arr1 = np.zeros(3, dt)
|
|
arr2 = roundtrip(arr1)
|
|
assert_array_equal(arr1, arr2)
|
|
|
|
def test_version_2_0():
|
|
f = BytesIO()
|
|
# requires more than 2 byte for header
|
|
dt = [(("%d" % i) * 100, float) for i in range(500)]
|
|
d = np.ones(1000, dtype=dt)
|
|
|
|
format.write_array(f, d, version=(2, 0))
|
|
with warnings.catch_warnings(record=True) as w:
|
|
warnings.filterwarnings('always', '', UserWarning)
|
|
format.write_array(f, d)
|
|
assert_(w[0].category is UserWarning)
|
|
|
|
# check alignment of data portion
|
|
f.seek(0)
|
|
header = f.readline()
|
|
assert_(len(header) % format.ARRAY_ALIGN == 0)
|
|
|
|
f.seek(0)
|
|
n = format.read_array(f, max_header_size=200000)
|
|
assert_array_equal(d, n)
|
|
|
|
# 1.0 requested but data cannot be saved this way
|
|
assert_raises(ValueError, format.write_array, f, d, (1, 0))
|
|
|
|
|
|
@pytest.mark.skipif(IS_WASM, reason="memmap doesn't work correctly")
|
|
def test_version_2_0_memmap(tmpdir):
|
|
# requires more than 2 byte for header
|
|
dt = [(("%d" % i) * 100, float) for i in range(500)]
|
|
d = np.ones(1000, dtype=dt)
|
|
tf1 = os.path.join(tmpdir, f'version2_01.npy')
|
|
tf2 = os.path.join(tmpdir, f'version2_02.npy')
|
|
|
|
# 1.0 requested but data cannot be saved this way
|
|
assert_raises(ValueError, format.open_memmap, tf1, mode='w+', dtype=d.dtype,
|
|
shape=d.shape, version=(1, 0))
|
|
|
|
ma = format.open_memmap(tf1, mode='w+', dtype=d.dtype,
|
|
shape=d.shape, version=(2, 0))
|
|
ma[...] = d
|
|
ma.flush()
|
|
ma = format.open_memmap(tf1, mode='r', max_header_size=200000)
|
|
assert_array_equal(ma, d)
|
|
|
|
with warnings.catch_warnings(record=True) as w:
|
|
warnings.filterwarnings('always', '', UserWarning)
|
|
ma = format.open_memmap(tf2, mode='w+', dtype=d.dtype,
|
|
shape=d.shape, version=None)
|
|
assert_(w[0].category is UserWarning)
|
|
ma[...] = d
|
|
ma.flush()
|
|
|
|
ma = format.open_memmap(tf2, mode='r', max_header_size=200000)
|
|
|
|
assert_array_equal(ma, d)
|
|
|
|
@pytest.mark.parametrize("mmap_mode", ["r", None])
|
|
def test_huge_header(tmpdir, mmap_mode):
|
|
f = os.path.join(tmpdir, f'large_header.npy')
|
|
arr = np.array(1, dtype="i,"*10000+"i")
|
|
|
|
with pytest.warns(UserWarning, match=".*format 2.0"):
|
|
np.save(f, arr)
|
|
|
|
with pytest.raises(ValueError, match="Header.*large"):
|
|
np.load(f, mmap_mode=mmap_mode)
|
|
|
|
with pytest.raises(ValueError, match="Header.*large"):
|
|
np.load(f, mmap_mode=mmap_mode, max_header_size=20000)
|
|
|
|
res = np.load(f, mmap_mode=mmap_mode, allow_pickle=True)
|
|
assert_array_equal(res, arr)
|
|
|
|
res = np.load(f, mmap_mode=mmap_mode, max_header_size=180000)
|
|
assert_array_equal(res, arr)
|
|
|
|
def test_huge_header_npz(tmpdir):
|
|
f = os.path.join(tmpdir, f'large_header.npz')
|
|
arr = np.array(1, dtype="i,"*10000+"i")
|
|
|
|
with pytest.warns(UserWarning, match=".*format 2.0"):
|
|
np.savez(f, arr=arr)
|
|
|
|
# Only getting the array from the file actually reads it
|
|
with pytest.raises(ValueError, match="Header.*large"):
|
|
np.load(f)["arr"]
|
|
|
|
with pytest.raises(ValueError, match="Header.*large"):
|
|
np.load(f, max_header_size=20000)["arr"]
|
|
|
|
res = np.load(f, allow_pickle=True)["arr"]
|
|
assert_array_equal(res, arr)
|
|
|
|
res = np.load(f, max_header_size=180000)["arr"]
|
|
assert_array_equal(res, arr)
|
|
|
|
def test_write_version():
|
|
f = BytesIO()
|
|
arr = np.arange(1)
|
|
# These should pass.
|
|
format.write_array(f, arr, version=(1, 0))
|
|
format.write_array(f, arr)
|
|
|
|
format.write_array(f, arr, version=None)
|
|
format.write_array(f, arr)
|
|
|
|
format.write_array(f, arr, version=(2, 0))
|
|
format.write_array(f, arr)
|
|
|
|
# These should all fail.
|
|
bad_versions = [
|
|
(1, 1),
|
|
(0, 0),
|
|
(0, 1),
|
|
(2, 2),
|
|
(255, 255),
|
|
]
|
|
for version in bad_versions:
|
|
with assert_raises_regex(ValueError,
|
|
'we only support format version.*'):
|
|
format.write_array(f, arr, version=version)
|
|
|
|
|
|
bad_version_magic = [
|
|
b'\x93NUMPY\x01\x01',
|
|
b'\x93NUMPY\x00\x00',
|
|
b'\x93NUMPY\x00\x01',
|
|
b'\x93NUMPY\x02\x00',
|
|
b'\x93NUMPY\x02\x02',
|
|
b'\x93NUMPY\xff\xff',
|
|
]
|
|
malformed_magic = [
|
|
b'\x92NUMPY\x01\x00',
|
|
b'\x00NUMPY\x01\x00',
|
|
b'\x93numpy\x01\x00',
|
|
b'\x93MATLB\x01\x00',
|
|
b'\x93NUMPY\x01',
|
|
b'\x93NUMPY',
|
|
b'',
|
|
]
|
|
|
|
def test_read_magic():
|
|
s1 = BytesIO()
|
|
s2 = BytesIO()
|
|
|
|
arr = np.ones((3, 6), dtype=float)
|
|
|
|
format.write_array(s1, arr, version=(1, 0))
|
|
format.write_array(s2, arr, version=(2, 0))
|
|
|
|
s1.seek(0)
|
|
s2.seek(0)
|
|
|
|
version1 = format.read_magic(s1)
|
|
version2 = format.read_magic(s2)
|
|
|
|
assert_(version1 == (1, 0))
|
|
assert_(version2 == (2, 0))
|
|
|
|
assert_(s1.tell() == format.MAGIC_LEN)
|
|
assert_(s2.tell() == format.MAGIC_LEN)
|
|
|
|
def test_read_magic_bad_magic():
|
|
for magic in malformed_magic:
|
|
f = BytesIO(magic)
|
|
assert_raises(ValueError, format.read_array, f)
|
|
|
|
|
|
def test_read_version_1_0_bad_magic():
|
|
for magic in bad_version_magic + malformed_magic:
|
|
f = BytesIO(magic)
|
|
assert_raises(ValueError, format.read_array, f)
|
|
|
|
|
|
def test_bad_magic_args():
|
|
assert_raises(ValueError, format.magic, -1, 1)
|
|
assert_raises(ValueError, format.magic, 256, 1)
|
|
assert_raises(ValueError, format.magic, 1, -1)
|
|
assert_raises(ValueError, format.magic, 1, 256)
|
|
|
|
|
|
def test_large_header():
|
|
s = BytesIO()
|
|
d = {'shape': tuple(), 'fortran_order': False, 'descr': '<i8'}
|
|
format.write_array_header_1_0(s, d)
|
|
|
|
s = BytesIO()
|
|
d['descr'] = [('x'*256*256, '<i8')]
|
|
assert_raises(ValueError, format.write_array_header_1_0, s, d)
|
|
|
|
|
|
def test_read_array_header_1_0():
|
|
s = BytesIO()
|
|
|
|
arr = np.ones((3, 6), dtype=float)
|
|
format.write_array(s, arr, version=(1, 0))
|
|
|
|
s.seek(format.MAGIC_LEN)
|
|
shape, fortran, dtype = format.read_array_header_1_0(s)
|
|
|
|
assert_(s.tell() % format.ARRAY_ALIGN == 0)
|
|
assert_((shape, fortran, dtype) == ((3, 6), False, float))
|
|
|
|
|
|
def test_read_array_header_2_0():
|
|
s = BytesIO()
|
|
|
|
arr = np.ones((3, 6), dtype=float)
|
|
format.write_array(s, arr, version=(2, 0))
|
|
|
|
s.seek(format.MAGIC_LEN)
|
|
shape, fortran, dtype = format.read_array_header_2_0(s)
|
|
|
|
assert_(s.tell() % format.ARRAY_ALIGN == 0)
|
|
assert_((shape, fortran, dtype) == ((3, 6), False, float))
|
|
|
|
|
|
def test_bad_header():
|
|
# header of length less than 2 should fail
|
|
s = BytesIO()
|
|
assert_raises(ValueError, format.read_array_header_1_0, s)
|
|
s = BytesIO(b'1')
|
|
assert_raises(ValueError, format.read_array_header_1_0, s)
|
|
|
|
# header shorter than indicated size should fail
|
|
s = BytesIO(b'\x01\x00')
|
|
assert_raises(ValueError, format.read_array_header_1_0, s)
|
|
|
|
# headers without the exact keys required should fail
|
|
# d = {"shape": (1, 2),
|
|
# "descr": "x"}
|
|
s = BytesIO(
|
|
b"\x93NUMPY\x01\x006\x00{'descr': 'x', 'shape': (1, 2), }" +
|
|
b" \n"
|
|
)
|
|
assert_raises(ValueError, format.read_array_header_1_0, s)
|
|
|
|
d = {"shape": (1, 2),
|
|
"fortran_order": False,
|
|
"descr": "x",
|
|
"extrakey": -1}
|
|
s = BytesIO()
|
|
format.write_array_header_1_0(s, d)
|
|
assert_raises(ValueError, format.read_array_header_1_0, s)
|
|
|
|
|
|
def test_large_file_support(tmpdir):
|
|
if (sys.platform == 'win32' or sys.platform == 'cygwin'):
|
|
pytest.skip("Unknown if Windows has sparse filesystems")
|
|
# try creating a large sparse file
|
|
tf_name = os.path.join(tmpdir, 'sparse_file')
|
|
try:
|
|
# seek past end would work too, but linux truncate somewhat
|
|
# increases the chances that we have a sparse filesystem and can
|
|
# avoid actually writing 5GB
|
|
import subprocess as sp
|
|
sp.check_call(["truncate", "-s", "5368709120", tf_name])
|
|
except Exception:
|
|
pytest.skip("Could not create 5GB large file")
|
|
# write a small array to the end
|
|
with open(tf_name, "wb") as f:
|
|
f.seek(5368709120)
|
|
d = np.arange(5)
|
|
np.save(f, d)
|
|
# read it back
|
|
with open(tf_name, "rb") as f:
|
|
f.seek(5368709120)
|
|
r = np.load(f)
|
|
assert_array_equal(r, d)
|
|
|
|
|
|
@pytest.mark.skipif(IS_PYPY, reason="flaky on PyPy")
|
|
@pytest.mark.skipif(np.dtype(np.intp).itemsize < 8,
|
|
reason="test requires 64-bit system")
|
|
@pytest.mark.slow
|
|
@requires_memory(free_bytes=2 * 2**30)
|
|
def test_large_archive(tmpdir):
|
|
# Regression test for product of saving arrays with dimensions of array
|
|
# having a product that doesn't fit in int32. See gh-7598 for details.
|
|
shape = (2**30, 2)
|
|
try:
|
|
a = np.empty(shape, dtype=np.uint8)
|
|
except MemoryError:
|
|
pytest.skip("Could not create large file")
|
|
|
|
fname = os.path.join(tmpdir, "large_archive")
|
|
|
|
with open(fname, "wb") as f:
|
|
np.savez(f, arr=a)
|
|
|
|
del a
|
|
|
|
with open(fname, "rb") as f:
|
|
new_a = np.load(f)["arr"]
|
|
|
|
assert new_a.shape == shape
|
|
|
|
|
|
def test_empty_npz(tmpdir):
|
|
# Test for gh-9989
|
|
fname = os.path.join(tmpdir, "nothing.npz")
|
|
np.savez(fname)
|
|
with np.load(fname) as nps:
|
|
pass
|
|
|
|
|
|
def test_unicode_field_names(tmpdir):
|
|
# gh-7391
|
|
arr = np.array([
|
|
(1, 3),
|
|
(1, 2),
|
|
(1, 3),
|
|
(1, 2)
|
|
], dtype=[
|
|
('int', int),
|
|
('\N{CJK UNIFIED IDEOGRAPH-6574}\N{CJK UNIFIED IDEOGRAPH-5F62}', int)
|
|
])
|
|
fname = os.path.join(tmpdir, "unicode.npy")
|
|
with open(fname, 'wb') as f:
|
|
format.write_array(f, arr, version=(3, 0))
|
|
with open(fname, 'rb') as f:
|
|
arr2 = format.read_array(f)
|
|
assert_array_equal(arr, arr2)
|
|
|
|
# notifies the user that 3.0 is selected
|
|
with open(fname, 'wb') as f:
|
|
with assert_warns(UserWarning):
|
|
format.write_array(f, arr, version=None)
|
|
|
|
def test_header_growth_axis():
|
|
for is_fortran_array, dtype_space, expected_header_length in [
|
|
[False, 22, 128], [False, 23, 192], [True, 23, 128], [True, 24, 192]
|
|
]:
|
|
for size in [10**i for i in range(format.GROWTH_AXIS_MAX_DIGITS)]:
|
|
fp = BytesIO()
|
|
format.write_array_header_1_0(fp, {
|
|
'shape': (2, size) if is_fortran_array else (size, 2),
|
|
'fortran_order': is_fortran_array,
|
|
'descr': np.dtype([(' '*dtype_space, int)])
|
|
})
|
|
|
|
assert len(fp.getvalue()) == expected_header_length
|
|
|
|
@pytest.mark.parametrize('dt, fail', [
|
|
(np.dtype({'names': ['a', 'b'], 'formats': [float, np.dtype('S3',
|
|
metadata={'some': 'stuff'})]}), True),
|
|
(np.dtype(int, metadata={'some': 'stuff'}), False),
|
|
(np.dtype([('subarray', (int, (2,)))], metadata={'some': 'stuff'}), False),
|
|
# recursive: metadata on the field of a dtype
|
|
(np.dtype({'names': ['a', 'b'], 'formats': [
|
|
float, np.dtype({'names': ['c'], 'formats': [np.dtype(int, metadata={})]})
|
|
]}), False)
|
|
])
|
|
@pytest.mark.skipif(IS_PYPY and sys.implementation.version <= (7, 3, 8),
|
|
reason="PyPy bug in error formatting")
|
|
def test_metadata_dtype(dt, fail):
|
|
# gh-14142
|
|
arr = np.ones(10, dtype=dt)
|
|
buf = BytesIO()
|
|
with assert_warns(UserWarning):
|
|
np.save(buf, arr)
|
|
buf.seek(0)
|
|
if fail:
|
|
with assert_raises(ValueError):
|
|
np.load(buf)
|
|
else:
|
|
arr2 = np.load(buf)
|
|
# BUG: assert_array_equal does not check metadata
|
|
from numpy.lib.format import _has_metadata
|
|
assert_array_equal(arr, arr2)
|
|
assert _has_metadata(arr.dtype)
|
|
assert not _has_metadata(arr2.dtype)
|
|
|