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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 2986 2007-05-12 02:04:48Z pierregm $
"""
__author__ = "Pierre GF Gerard-Marchant ($Author: pierregm $)"
__version__ = "1.0"
__revision__ = "$Revision: 2986 $"
__date__ = "$Date: 2007-05-11 19:04:48 -0700 (Fri, 11 May 2007) $"
import numpy as N
from numpy.core import ndarray
from numpy.core.numerictypes import float_
import numpy.core.umath as umath
from numpy.testing import NumpyTest, NumpyTestCase
from numpy.testing.utils import build_err_msg, rand
import core
from core import mask_or, getmask, getmaskarray, masked_array, nomask, masked
from core import filled, equal, less
#------------------------------------------------------------------------------
def approx (a, b, fill_value=1, rtol=1.e-5, atol=1.e-8):
"""Returns true if all components of a and b are equal subject to given tolerances.
If fill_value is 1, masked values considered equal.
If fill_value is 0, masked values 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 N.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 = N.less_equal(umath.absolute(x-y), atol + rtol * umath.absolute(y))
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(actual,desired,err_msg=''):
"""Asserts that two items are equal.
"""
# Case #1: dictionary .....
if isinstance(desired, dict):
assert isinstance(actual, dict), repr(type(actual))
assert_equal(len(actual),len(desired),err_msg)
for k,i in desired.items():
assert actual.has_key(k), repr(k)
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,)
assert desired == actual, 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 = N.array(actual, copy=False, subok=True)
desired = N.array(desired, copy=False, subok=True)
if actual.dtype.char in "OS" and desired.dtype.char in "OS":
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):
assert isinstance(actual, dict), repr(type(actual))
fail_if_equal(len(actual),len(desired),err_msg)
for k,i in desired.items():
assert actual.has_key(k), 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, N.ndarray) or isinstance(desired, N.ndarray):
return fail_if_array_equal(actual, desired, err_msg)
msg = build_err_msg([actual, desired], err_msg)
assert desired != actual, msg
assert_not_equal = fail_if_equal
#............................
def assert_almost_equal(actual,desired,decimal=7,err_msg=''):
"""Asserts that two items are almost equal.
The test is equivalent to abs(desired-actual) < 0.5 * 10**(-decimal)
"""
if isinstance(actual, N.ndarray) or isinstance(desired, N.ndarray):
return assert_array_almost_equal(actual, desired, decimal, err_msg)
msg = build_err_msg([actual, desired], err_msg)
assert round(abs(desired - actual),decimal) == 0, msg
#............................
def assert_array_compare(comparison, x, y, err_msg='', header='',
fill_value=True):
"""Asserts that a comparison relation between two masked arrays is satisfied
elementwise."""
xf = filled(x)
yf = filled(y)
m = mask_or(getmask(x), getmask(y))
x = masked_array(xf, copy=False, subok=False, mask=m).filled(fill_value)
y = masked_array(yf, copy=False, subok=False, mask=m).filled(fill_value)
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, header=header, names=('x', 'y'))
raise ValueError(msg)
if (x.dtype.char != "O") and (x.dtype.char != "S"):
x = x.astype(float_)
if isinstance(x, N.ndarray) and x.size > 1:
x[N.isnan(x)] = 0
elif N.isnan(x):
x = 0
if (y.dtype.char != "O") and (y.dtype.char != "S"):
y = y.astype(float_)
if isinstance(y, N.ndarray) and y.size > 1:
y[N.isnan(y)] = 0
elif N.isnan(y):
y = 0
try:
cond = (x.shape==() or y.shape==()) or x.shape == y.shape
if not cond:
msg = build_err_msg([x, y],
err_msg
+ '\n(shapes %s, %s mismatch)' % (x.shape,
y.shape),
header=header,
names=('x', 'y'))
assert cond, msg
val = comparison(x,y)
if m is not nomask and fill_value:
val = masked_array(val, mask=m, copy=False)
if isinstance(val, bool):
cond = val
reduced = [0]
else:
reduced = val.ravel()
cond = reduced.all()
reduced = reduced.tolist()
if not cond:
match = 100-100.0*reduced.count(1)/len(reduced)
msg = build_err_msg([x, y],
err_msg
+ '\n(mismatch %s%%)' % (match,),
header=header,
names=('x', 'y'))
assert cond, msg
except ValueError:
msg = build_err_msg([x, y], err_msg, header=header, names=('x', 'y'))
raise ValueError(msg)
#............................
def assert_array_equal(x, y, err_msg=''):
"""Checks the elementwise equality of two masked arrays."""
assert_array_compare(equal, x, y, err_msg=err_msg,
header='Arrays are not equal')
##............................
def fail_if_array_equal(x, y, err_msg=''):
"""Raises an assertion error if two masked arrays are not equal
(elem by elem.)"""
def compare(x,y):
return (not N.alltrue(approx(x, y)))
assert_array_compare(compare, x, y, err_msg=err_msg,
header='Arrays are not equal')
#............................
def assert_array_almost_equal(x, y, decimal=6, err_msg=''):
"""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,
header='Arrays are not almost equal')
#............................
def assert_array_less(x, y, err_msg=''):
"Checks that x is smaller than y elementwise."
assert_array_compare(less, x, y, err_msg=err_msg,
header='Arrays are not less-ordered')
#............................
assert_close = assert_almost_equal
#............................
def assert_mask_equal(m1, m2):
"""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)
if __name__ == '__main__':
a = 12
assert_equal(a, masked)
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