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testutils.py
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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 $ """ import operator import numpy as np from numpy import ndarray, float_ 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(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 k not 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='') 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], '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 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.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 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)