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