Ejemplo n.º 1
0
def assert_data_correct(d_arr, op, axis):
    from datarray.datarray import _names_to_numbers 
    super_opr = getattr(np.ndarray, op)
    axis_idx = _names_to_numbers(d_arr.axes, [axis])[0]
    d1 = super_opr(np.asarray(d_arr), axis=axis_idx)
    opr = getattr(d_arr, op)
    d2 = np.asarray(opr(axis=axis))
    assert (d1==d2).all(), 'data computed incorrectly on operation %s'%op
Ejemplo n.º 2
0
def assert_data_correct(d_arr, op, axis):
    from datarray.datarray import _names_to_numbers
    super_opr = getattr(np.ndarray, op)
    axis_idx = _names_to_numbers(d_arr.axes, [axis])[0]
    d1 = super_opr(np.asarray(d_arr), axis=axis_idx)
    opr = getattr(d_arr, op)
    d2 = np.asarray(opr(axis=axis))
    assert (d1 == d2).all(), 'data computed incorrectly on operation %s' % op
Ejemplo n.º 3
0
def assert_axes_correct(d_arr, op, axis):
    from datarray.datarray import _names_to_numbers, _pull_axis
    opr = getattr(d_arr, op)
    d = opr(axis=axis)
    axis_idx = _names_to_numbers(d_arr.axes, [axis])[0]
    if op not in accumulations:
        axes = _pull_axis(d_arr.axes, d_arr.axes[axis_idx])
    else:
        axes = d_arr.axes
    assert all( [ax1==ax2 for ax1, ax2 in zip(d.axes, axes)] ), \
           'mislabeled axes from operation %s'%op
Ejemplo n.º 4
0
def assert_axes_correct(d_arr, op, axis):
    from datarray.datarray import _names_to_numbers, _pull_axis
    opr = getattr(d_arr, op)
    d = opr(axis=axis)
    axis_idx = _names_to_numbers(d_arr.axes, [axis])[0]
    if op not in accumulations:
        axes = _pull_axis(d_arr.axes, d_arr.axes[axis_idx])
    else:
        axes = d_arr.axes
    assert all( [ax1==ax2 for ax1, ax2 in zip(d.axes, axes)] ), \
           'mislabeled axes from operation %s'%op
Ejemplo n.º 5
0
def check_data_axes(d_arr, op, axis, exp_axes, *args, **kwargs):
    """ Check data and axes correct after operation `op`
    """
    from datarray.datarray import _names_to_numbers
    super_opr = getattr(np.ndarray, op)
    axis_idx = _names_to_numbers(d_arr.axes, [axis])[0]
    d1 = super_opr(np.asarray(d_arr), axis_idx, *args, **kwargs)
    opr = getattr(d_arr, op)
    d_arr_out = opr(axis, *args, **kwargs)
    nt.assert_equal(d_arr_out.axes, exp_axes)
    d2 = np.asarray(d_arr_out)
    npt.assert_equal(d1.shape, d2.shape)
    npt.assert_array_equal(d1, d2)
Ejemplo n.º 6
0
def check_data_axes(d_arr, op, axis, exp_axes, *args, **kwargs):
    """ Check data and axes correct after operation `op`
    """
    from datarray.datarray import _names_to_numbers

    super_opr = getattr(np.ndarray, op)
    axis_idx = _names_to_numbers(d_arr.axes, [axis])[0]
    d1 = super_opr(np.asarray(d_arr), axis_idx, *args, **kwargs)
    opr = getattr(d_arr, op)
    d_arr_out = opr(axis, *args, **kwargs)
    nt.assert_equal(d_arr_out.axes, exp_axes)
    d2 = np.asarray(d_arr_out)
    npt.assert_equal(d1.shape, d2.shape)
    npt.assert_array_equal(d1, d2)