Python pack_ndarray_str Examples

Example #1

def test_backwards_compat():
    def old_ndarray_meta(ndarray):
        # This DOESN'T use 'repr', see also:
        # bloscpack.numpy_io._ndarray_meta
        return {
            'dtype':
            ndarray.dtype.descr
            if ndarray.dtype.names is not None else ndarray.dtype.str,
            'shape':
            ndarray.shape,
            'order':
            'F' if np.isfortran(ndarray) else 'C',
            'container':
            'numpy',
        }

    test_data = [
        np.arange(10),
        np.array([('a', 1), ('b', 2)], dtype=[('a', 'S1'), ('b', 'f8')]),
    ]

    with mock.patch('bloscpack.numpy_io._ndarray_meta', old_ndarray_meta):
        for a in test_data:
            # uses old version of _ndarray_meta
            c = pack_ndarray_str(a)
            # should not raise a SyntaxError
            d = unpack_ndarray_str(c)
            yield npt.assert_array_equal, a, d

Example #2

File: test_numpy_io.py Project: dboyliao/bloscpack

def test_backwards_compat():
    import bloscpack
    import numpy
    def old_ndarray_meta(ndarray):
        # This DOESN'T use 'repr', see also:
        # bloscpack.numpy_io._ndarray_meta
        return {'dtype': ndarray.dtype.descr
                if ndarray.dtype.names is not None
                else ndarray.dtype.str,
                'shape': ndarray.shape,
                'order': 'F' if numpy.isfortran(ndarray) else 'C',
                'container': 'numpy',
                }
    a = np.arange(10)
    with mock.patch('bloscpack.numpy_io._ndarray_meta', old_ndarray_meta):
        # uses old version of _ndarray_meta
        c = pack_ndarray_str(a)
        # should not raise a SyntaxError
        d = unpack_ndarray_str(c)

Example #3

File: test_numpy_io.py Project: stonebig/bloscpack

def test_backwards_compat():

    def old_ndarray_meta(ndarray):
        # This DOESN'T use 'repr', see also:
        # bloscpack.numpy_io._ndarray_meta
        return {'dtype': ndarray.dtype.descr
                if ndarray.dtype.names is not None
                else ndarray.dtype.str,
                'shape': ndarray.shape,
                'order': 'F' if np.isfortran(ndarray) else 'C',
                'container': 'numpy',
                }
    test_data = [np.arange(10),
                 np.array([('a', 1), ('b', 2)],
                          dtype=[('a', 'S1'), ('b', 'f8')]),
                 ]

    with mock.patch('bloscpack.numpy_io._ndarray_meta', old_ndarray_meta):
        for a in test_data:
            # uses old version of _ndarray_meta
            c = pack_ndarray_str(a)
            # should not raise a SyntaxError
            d = unpack_ndarray_str(c)
            yield npt.assert_array_equal, a, d

Example #4

def roundtrip_numpy_str(ndarray):
    s = pack_ndarray_str(ndarray)
    b = unpack_ndarray_str(s)
    return npt.assert_array_equal, ndarray, b

Example #5

File: test_numpy_io.py Project: stonebig/bloscpack

def roundtrip_numpy_str(ndarray):
    s = pack_ndarray_str(ndarray)
    b = unpack_ndarray_str(s)
    return npt.assert_array_equal, ndarray, b

Example #6

File: test_numpy_io.py Project: ASPP/bloscpack

 def test_roundtrip_numpy_str(self):
     s = pack_ndarray_str(self.a)
     b = unpack_ndarray_str(s)
     npt.assert_array_equal(self.a, b)