# numpy.testing.assert_allclose

testing.assert_allclose(actual, desired, rtol=1e-07, atol=0, equal_nan=True, err_msg='', verbose=True)

  Raises an AssertionError if two objects are not equal up to desired tolerance.

  The test is equivalent to `allclose(actual, desired, rtol, atol)` (note that `allclose` has different default values). It compares the difference between actual and desired to `atol + rtol * abs(desired)`.

  New in version 1.5.0.

  Parameters
    actual array_like

      Array obtained.

    desired array_like

      Array desired.

    rtol float, optional

      Relative tolerance.

    atol float, optional

      Absolute tolerance.

    equal_nan bool, optional.

      If True, NaNs will compare equal.

    err_msg str, optional

      The error message to be printed in case of failure.

    verbose bool, optional

      If True, the conflicting values are appended to the error message.

  Raises
    AssertionError

      If actual and desired are not equal up to specified precision.

  See also

  `assert_array_almost_equal_nulp`, `assert_array_max_ulp`

  Examples

      >>> x = [1e-5, 1e-3, 1e-1]
      >>> y = np.arccos(np.cos(x))
      >>> np.testing.assert_allclose(x, y, rtol=1e-5, atol=0)

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