dpnp.real_if_close

dpnp.real_if_close(a, tol=100)[source]

If input is complex with all imaginary parts close to zero, return real parts.

"Close to zero" is defined as tol * (machine epsilon of the type for a).

For full documentation refer to numpy.real_if_close.

Parameters:

  • a ({dpnp.ndarray, usm_ndarray}) -- Input array.

  • tol (scalar, optional) -- Tolerance in machine epsilons for the complex part of the elements in the array. If the tolerance is <=1, then the absolute tolerance is used. Default: 100.

Returns:

out -- If a is real, the type of a is used for the output. If a has complex elements, the returned type is float.

Return type:

dpnp.ndarray

See also

dpnp.real

Return the real part of the complex argument.

dpnp.imag

Return the imaginary part of the complex argument.

dpnp.angle

Return the angle of the complex argument.

Examples

>>> import dpnp as np
>>> np.finfo(np.float64).eps
2.220446049250313e-16 # may vary

>>> a = np.array([2.1 + 4e-14j, 5.2 + 3e-15j])
>>> np.real_if_close(a, tol=1000)
array([2.1, 5.2])

>>> a = np.array([2.1 + 4e-13j, 5.2 + 3e-15j])
>>> np.real_if_close(a, tol=1000)
array([2.1+4.e-13j, 5.2+3.e-15j])