293 lines
10 KiB
Python
293 lines
10 KiB
Python
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"""Miscellaneous functions for testing masked arrays and subclasses
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:author: Pierre Gerard-Marchant
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:contact: pierregm_at_uga_dot_edu
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:version: $Id: testutils.py 3529 2007-11-13 08:01:14Z jarrod.millman $
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"""
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import operator
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import numpy as np
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from numpy import ndarray
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import numpy._core.umath as umath
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import numpy.testing
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from numpy.testing import (
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assert_, assert_allclose, assert_array_almost_equal_nulp,
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assert_raises, build_err_msg
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)
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from .core import mask_or, getmask, masked_array, nomask, masked, filled
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__all__masked = [
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'almost', 'approx', 'assert_almost_equal', 'assert_array_almost_equal',
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'assert_array_approx_equal', 'assert_array_compare',
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'assert_array_equal', 'assert_array_less', 'assert_close',
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'assert_equal', 'assert_equal_records', 'assert_mask_equal',
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'assert_not_equal', 'fail_if_array_equal',
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]
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# Include some normal test functions to avoid breaking other projects who
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# have mistakenly included them from this file. SciPy is one. That is
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# unfortunate, as some of these functions are not intended to work with
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# masked arrays. But there was no way to tell before.
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from unittest import TestCase
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__some__from_testing = [
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'TestCase', 'assert_', 'assert_allclose', 'assert_array_almost_equal_nulp',
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'assert_raises'
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]
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__all__ = __all__masked + __some__from_testing
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def approx(a, b, fill_value=True, rtol=1e-5, atol=1e-8):
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"""
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Returns true if all components of a and b are equal to given tolerances.
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If fill_value is True, masked values considered equal. Otherwise,
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masked values are considered unequal. The relative error rtol should
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be positive and << 1.0 The absolute error atol comes into play for
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those elements of b that are very small or zero; it says how small a
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must be also.
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"""
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m = mask_or(getmask(a), getmask(b))
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d1 = filled(a)
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d2 = filled(b)
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if d1.dtype.char == "O" or d2.dtype.char == "O":
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return np.equal(d1, d2).ravel()
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x = filled(
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masked_array(d1, copy=False, mask=m), fill_value
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).astype(np.float64)
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y = filled(masked_array(d2, copy=False, mask=m), 1).astype(np.float64)
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d = np.less_equal(umath.absolute(x - y), atol + rtol * umath.absolute(y))
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return d.ravel()
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def almost(a, b, decimal=6, fill_value=True):
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"""
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Returns True if a and b are equal up to decimal places.
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If fill_value is True, masked values considered equal. Otherwise,
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masked values are considered unequal.
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"""
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m = mask_or(getmask(a), getmask(b))
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d1 = filled(a)
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d2 = filled(b)
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if d1.dtype.char == "O" or d2.dtype.char == "O":
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return np.equal(d1, d2).ravel()
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x = filled(
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masked_array(d1, copy=False, mask=m), fill_value
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).astype(np.float64)
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y = filled(masked_array(d2, copy=False, mask=m), 1).astype(np.float64)
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d = np.around(np.abs(x - y), decimal) <= 10.0 ** (-decimal)
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return d.ravel()
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def _assert_equal_on_sequences(actual, desired, err_msg=''):
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"""
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Asserts the equality of two non-array sequences.
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"""
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assert_equal(len(actual), len(desired), err_msg)
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for k in range(len(desired)):
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assert_equal(actual[k], desired[k], f'item={k!r}\n{err_msg}')
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return
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def assert_equal_records(a, b):
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"""
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Asserts that two records are equal.
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Pretty crude for now.
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"""
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assert_equal(a.dtype, b.dtype)
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for f in a.dtype.names:
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(af, bf) = (operator.getitem(a, f), operator.getitem(b, f))
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if not (af is masked) and not (bf is masked):
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assert_equal(operator.getitem(a, f), operator.getitem(b, f))
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return
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def assert_equal(actual, desired, err_msg=''):
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"""
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Asserts that two items are equal.
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"""
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# Case #1: dictionary .....
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if isinstance(desired, dict):
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if not isinstance(actual, dict):
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raise AssertionError(repr(type(actual)))
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assert_equal(len(actual), len(desired), err_msg)
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for k, i in desired.items():
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if k not in actual:
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raise AssertionError(f"{k} not in {actual}")
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assert_equal(actual[k], desired[k], f'key={k!r}\n{err_msg}')
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return
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# Case #2: lists .....
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if isinstance(desired, (list, tuple)) and isinstance(actual, (list, tuple)):
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return _assert_equal_on_sequences(actual, desired, err_msg='')
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if not (isinstance(actual, ndarray) or isinstance(desired, ndarray)):
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msg = build_err_msg([actual, desired], err_msg,)
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if not desired == actual:
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raise AssertionError(msg)
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return
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# Case #4. arrays or equivalent
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if ((actual is masked) and not (desired is masked)) or \
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((desired is masked) and not (actual is masked)):
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msg = build_err_msg([actual, desired],
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err_msg, header='', names=('x', 'y'))
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raise ValueError(msg)
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actual = np.asanyarray(actual)
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desired = np.asanyarray(desired)
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(actual_dtype, desired_dtype) = (actual.dtype, desired.dtype)
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if actual_dtype.char == "S" and desired_dtype.char == "S":
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return _assert_equal_on_sequences(actual.tolist(),
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desired.tolist(),
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err_msg='')
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return assert_array_equal(actual, desired, err_msg)
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def fail_if_equal(actual, desired, err_msg='',):
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"""
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Raises an assertion error if two items are equal.
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"""
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if isinstance(desired, dict):
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if not isinstance(actual, dict):
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raise AssertionError(repr(type(actual)))
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fail_if_equal(len(actual), len(desired), err_msg)
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for k, i in desired.items():
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if k not in actual:
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raise AssertionError(repr(k))
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fail_if_equal(actual[k], desired[k], f'key={k!r}\n{err_msg}')
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return
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if isinstance(desired, (list, tuple)) and isinstance(actual, (list, tuple)):
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fail_if_equal(len(actual), len(desired), err_msg)
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for k in range(len(desired)):
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fail_if_equal(actual[k], desired[k], f'item={k!r}\n{err_msg}')
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return
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if isinstance(actual, np.ndarray) or isinstance(desired, np.ndarray):
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return fail_if_array_equal(actual, desired, err_msg)
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msg = build_err_msg([actual, desired], err_msg)
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if not desired != actual:
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raise AssertionError(msg)
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assert_not_equal = fail_if_equal
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def assert_almost_equal(actual, desired, decimal=7, err_msg='', verbose=True):
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"""
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Asserts that two items are almost equal.
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The test is equivalent to abs(desired-actual) < 0.5 * 10**(-decimal).
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"""
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if isinstance(actual, np.ndarray) or isinstance(desired, np.ndarray):
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return assert_array_almost_equal(actual, desired, decimal=decimal,
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err_msg=err_msg, verbose=verbose)
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msg = build_err_msg([actual, desired],
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err_msg=err_msg, verbose=verbose)
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if not round(abs(desired - actual), decimal) == 0:
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raise AssertionError(msg)
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assert_close = assert_almost_equal
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def assert_array_compare(comparison, x, y, err_msg='', verbose=True, header='',
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fill_value=True):
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"""
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Asserts that comparison between two masked arrays is satisfied.
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The comparison is elementwise.
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"""
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# Allocate a common mask and refill
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m = mask_or(getmask(x), getmask(y))
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x = masked_array(x, copy=False, mask=m, keep_mask=False, subok=False)
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y = masked_array(y, copy=False, mask=m, keep_mask=False, subok=False)
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if ((x is masked) and not (y is masked)) or \
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((y is masked) and not (x is masked)):
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msg = build_err_msg([x, y], err_msg=err_msg, verbose=verbose,
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header=header, names=('x', 'y'))
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raise ValueError(msg)
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# OK, now run the basic tests on filled versions
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return np.testing.assert_array_compare(comparison,
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x.filled(fill_value),
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y.filled(fill_value),
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err_msg=err_msg,
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verbose=verbose, header=header)
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def assert_array_equal(x, y, err_msg='', verbose=True):
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"""
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Checks the elementwise equality of two masked arrays.
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"""
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assert_array_compare(operator.__eq__, x, y,
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err_msg=err_msg, verbose=verbose,
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header='Arrays are not equal')
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def fail_if_array_equal(x, y, err_msg='', verbose=True):
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"""
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Raises an assertion error if two masked arrays are not equal elementwise.
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"""
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def compare(x, y):
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return (not np.all(approx(x, y)))
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assert_array_compare(compare, x, y, err_msg=err_msg, verbose=verbose,
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header='Arrays are not equal')
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def assert_array_approx_equal(x, y, decimal=6, err_msg='', verbose=True):
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"""
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Checks the equality of two masked arrays, up to given number odecimals.
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The equality is checked elementwise.
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"""
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def compare(x, y):
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"Returns the result of the loose comparison between x and y)."
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return approx(x, y, rtol=10. ** -decimal)
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assert_array_compare(compare, x, y, err_msg=err_msg, verbose=verbose,
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header='Arrays are not almost equal')
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def assert_array_almost_equal(x, y, decimal=6, err_msg='', verbose=True):
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"""
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Checks the equality of two masked arrays, up to given number odecimals.
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The equality is checked elementwise.
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"""
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def compare(x, y):
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"Returns the result of the loose comparison between x and y)."
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return almost(x, y, decimal)
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assert_array_compare(compare, x, y, err_msg=err_msg, verbose=verbose,
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header='Arrays are not almost equal')
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def assert_array_less(x, y, err_msg='', verbose=True):
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"""
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Checks that x is smaller than y elementwise.
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"""
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assert_array_compare(operator.__lt__, x, y,
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err_msg=err_msg, verbose=verbose,
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header='Arrays are not less-ordered')
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def assert_mask_equal(m1, m2, err_msg=''):
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"""
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Asserts the equality of two masks.
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"""
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if m1 is nomask:
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assert_(m2 is nomask)
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if m2 is nomask:
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assert_(m1 is nomask)
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assert_array_equal(m1, m2, err_msg=err_msg)
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