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"""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 $
"""
from __future__ import division, absolute_import, print_function
__author__ = "Pierre GF Gerard-Marchant ($Author: jarrod.millman $)"
__version__ = "1.0"
__revision__ = "$Revision: 3529 $"
__date__ = "$Date: 2007-11-13 10:01:14 +0200 (Tue, 13 Nov 2007) $"
import operator
import numpy as np
from numpy import ndarray, float_
import numpy.core.umath as umath
from numpy.testing import *
import numpy.testing.utils as utils
from .core import mask_or, getmask, masked_array, nomask, masked, filled, \
equal, less
#------------------------------------------------------------------------------
def approx (a, b, fill_value=True, rtol=1e-5, atol=1e-8):
"""Returns true if all components of a and b are equal subject 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(float_)
y = filled(masked_array(d2, copy=False, mask=m), 1).astype(float_)
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(float_)
y = filled(masked_array(d2, copy=False, mask=m), 1).astype(float_)
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], 'item=%r\n%s' % (k, 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 not k in actual:
raise AssertionError("%s not in %s" % (k, actual))
assert_equal(actual[k], desired[k], 'key=%r\n%s' % (k, 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.array(actual, copy=False, subok=True)
desired = np.array(desired, copy=False, subok=True)
(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='')
# elif actual_dtype.char in "OV" and desired_dtype.char in "OV":
# if (actual_dtype != desired_dtype) and actual_dtype:
# msg = build_err_msg([actual_dtype, desired_dtype],
# err_msg, header='', names=('actual', 'desired'))
# raise ValueError(msg)
# 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 not k in actual:
raise AssertionError(repr(k))
fail_if_equal(actual[k], desired[k], 'key=%r\n%s' % (k, 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], 'item=%r\n%s' % (k, 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 a comparison relation between two masked arrays is satisfied
elementwise."""
# Fill the data first
# xf = filled(x)
# yf = filled(y)
# 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 utils.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.alltrue(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 elementwise equality of two masked arrays, up to a given
number of decimals."""
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 elementwise equality of two masked arrays, up to a given
number of decimals."""
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)
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