Module toleranceinterval.checks

Expand source code
# -- coding: utf-8 --
# MIT License
#
# Copyright (c) 2019 Charles Jekel
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

import numpy as np


def numpy_array(x):
    if isinstance(x, np.ndarray) is False:
        x = np.array(x)
    return x


def assert_2d_sort(x):
    if x.ndim == 1:
        x = x.reshape(1, -1)
    elif x.ndim > 2:
        raise ValueError('x can not be more than 2 dimensions')
    # Prevent modifications to input data by copying x before sorting.
    x = x.copy()
    x.sort()
    return x

Functions

def assert_2d_sort(x)
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def assert_2d_sort(x):
    if x.ndim == 1:
        x = x.reshape(1, -1)
    elif x.ndim > 2:
        raise ValueError('x can not be more than 2 dimensions')
    # Prevent modifications to input data by copying x before sorting.
    x = x.copy()
    x.sort()
    return x
def numpy_array(x)
Expand source code
def numpy_array(x):
    if isinstance(x, np.ndarray) is False:
        x = np.array(x)
    return x