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# numpy.testing.assert_approx_equal

`numpy.testing.``assert_approx_equal`(actual, desired, significant=7, err_msg='', verbose=True)

  Raise an assertion if two items are not equal up to significant digits.

  Given two numbers, check that they are approximately equal. Approximately equal is defined as the number of significant digits that agree.

  Parameters : | actual : number The object to check. desired : number The expected object. significant : integer (significant=7) desired precision err_msg : string The error message to be printed in case of failure. verbose : bool 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_almost_equal`
    compares objects by decimals
  `assert_array_almost_equal`
    compares array_like objects by decimals
  `assert_equal`
    tests objects for equality

  Examples

      >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20)
      >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20,
                                         significant=8)
      >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20,
                                         significant=8)
      ...
      <type 'exceptions.AssertionError'>:
      Items are not equal to 8 significant digits:
       ACTUAL: 1.234567e-021
       DESIRED: 1.2345672000000001e-021

  the evaluated condition that raises the exception is

      >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1)
      True

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