Source code for

# This file is part of the pyMOR project (
# Copyright 2013-2019 pyMOR developers and contributors. All rights reserved.
# License: BSD 2-Clause License (

import numpy as np

from pymor.core.defaults import defaults

[docs]@defaults('rtol', 'atol') def float_cmp(x, y, rtol=1e-14, atol=1e-14): """Compare x and y component-wise for almost equality. For scalars we define almost equality as :: float_cmp(x,y) <=> |x - y| <= atol + |y|*rtol .. note:: Numpy's :meth:`~numpy.allclose` method uses the same definition but treats arrays containing infinities as close if the infinities are at the same places and all other entries are close. In our definition, arrays containing infinities can never be close which seems more appropriate in most cases. Parameters ---------- x, y |NumPy arrays| to be compared. Have to be broadcastable to the same shape. rtol The relative tolerance. atol The absolute tolerance. """ return np.abs(x - y) <= atol + np.abs(y) * rtol
[docs]def float_cmp_all(x, y, rtol=None, atol=None): """Compare x and y for almost equality. Returns `True` if all components of `x` are almost equal to the corresponding components of `y`. See :meth:`float_cmp`. """ return np.all(float_cmp(x, y, rtol, atol))