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import doctest
import math
import pickle
import re
import warnings
from distutils.version import LooseVersion
from numbers import Number
import pytest
from pint import Quantity
from pint.compat import ndarray, np
from ..compat import (
HAS_BABEL,
HAS_NUMPY,
HAS_NUMPY_ARRAY_FUNCTION,
HAS_UNCERTAINTIES,
NUMPY_VER,
)
_number_re = r"([-+]?[0-9]*\.?[0-9]+([eE][-+]?[0-9]+)?)"
_q_re = re.compile(
r"<Quantity\("
+ r"\s*"
+ r"(?P<magnitude>%s)" % _number_re
+ r"\s*,\s*"
+ r"'(?P<unit>.*)'"
+ r"\s*"
+ r"\)>"
)
_sq_re = re.compile(
r"\s*" + r"(?P<magnitude>%s)" % _number_re + r"\s" + r"(?P<unit>.*)"
)
_unit_re = re.compile(r"<Unit\((.*)\)>")
class PintOutputChecker(doctest.OutputChecker):
def check_output(self, want, got, optionflags):
check = super().check_output(want, got, optionflags)
if check:
return check
try:
if eval(want) == eval(got):
return True
except Exception:
pass
for regex in (_q_re, _sq_re):
try:
parsed_got = regex.match(got.replace(r"\\", "")).groupdict()
parsed_want = regex.match(want.replace(r"\\", "")).groupdict()
v1 = float(parsed_got["magnitude"])
v2 = float(parsed_want["magnitude"])
if abs(v1 - v2) > abs(v1) / 1000:
return False
if parsed_got["unit"] != parsed_want["unit"]:
return False
return True
except Exception:
pass
cnt = 0
for regex in (_unit_re,):
try:
parsed_got, tmp = regex.subn("\1", got)
cnt += tmp
parsed_want, temp = regex.subn("\1", want)
cnt += tmp
if parsed_got == parsed_want:
return True
except Exception:
pass
if cnt:
# If there was any replacement, we try again the previous methods.
return self.check_output(parsed_want, parsed_got, optionflags)
return False
def _get_comparable_magnitudes(first, second, msg):
if isinstance(first, Quantity) and isinstance(second, Quantity):
second = second.to(first)
assert first.units == second.units, msg + " Units are not equal."
m1, m2 = first.magnitude, second.magnitude
elif isinstance(first, Quantity):
assert first.dimensionless, msg + " The first is not dimensionless."
first = first.to("")
m1, m2 = first.magnitude, second
elif isinstance(second, Quantity):
assert second.dimensionless, msg + " The second is not dimensionless."
second = second.to("")
m1, m2 = first, second.magnitude
else:
m1, m2 = first, second
return m1, m2
def assert_quantity_equal(first, second, msg=None):
if msg is None:
msg = "Comparing %r and %r. " % (first, second)
m1, m2 = _get_comparable_magnitudes(first, second, msg)
msg += " (Converted to %r and %r)" % (m1, m2)
if isinstance(m1, ndarray) or isinstance(m2, ndarray):
np.testing.assert_array_equal(m1, m2, err_msg=msg)
elif not isinstance(m1, Number):
warnings.warn(RuntimeWarning)
return
elif not isinstance(m2, Number):
warnings.warn(RuntimeWarning)
return
elif math.isnan(m1):
assert math.isnan(m2), msg
elif math.isnan(m2):
assert math.isnan(m1), msg
else:
assert m1 == m2, msg
def assert_quantity_almost_equal(first, second, rtol=1e-07, atol=0, msg=None):
if msg is None:
try:
msg = "Comparing %r and %r. " % (first, second)
except TypeError:
try:
msg = "Comparing %s and %s. " % (first, second)
except Exception:
msg = "Comparing"
m1, m2 = _get_comparable_magnitudes(first, second, msg)
msg += " (Converted to %r and %r)" % (m1, m2)
if isinstance(m1, ndarray) or isinstance(m2, ndarray):
np.testing.assert_allclose(m1, m2, rtol=rtol, atol=atol, err_msg=msg)
elif not isinstance(m1, Number):
warnings.warn(RuntimeWarning)
return
elif not isinstance(m2, Number):
warnings.warn(RuntimeWarning)
return
elif math.isnan(m1):
assert math.isnan(m2), msg
elif math.isnan(m2):
assert math.isnan(m1), msg
elif math.isinf(m1):
assert math.isinf(m2), msg
elif math.isinf(m2):
assert math.isinf(m1), msg
else:
# Numpy version (don't like because is not symmetric)
# assert abs(m1 - m2) <= atol + rtol * abs(m2), msg
assert abs(m1 - m2) <= max(rtol * max(abs(m1), abs(m2)), atol), msg
# Requirements
def multi_mark(*funcs):
def _deco(f):
for func in funcs:
pytest.mark.store_mark(f, func)
return _deco
requires_numpy = pytest.mark.skipif(not HAS_NUMPY, reason="Requires NumPy")
requires_not_numpy = pytest.mark.skipif(
HAS_NUMPY, reason="Requires NumPy not to be installed."
)
requires_array_function_protocol = multi_mark(
requires_numpy,
pytest.mark.skipif(
not HAS_NUMPY_ARRAY_FUNCTION,
reason="Requires __array_function__ protocol to be enabled",
),
)
requires_not_array_function_protocol = multi_mark(
requires_not_numpy,
pytest.mark.skipif(
HAS_NUMPY_ARRAY_FUNCTION,
reason="Requires __array_function__ protocol to be unavailable or disabled",
),
)
def requires_numpy_previous_than(version):
return multi_mark(
requires_numpy,
pytest.mark.skip(
not LooseVersion(NUMPY_VER) < LooseVersion(version),
reason="Requires NumPy < %s" % version,
),
)
def requires_numpy_at_least(version):
return multi_mark(
requires_numpy,
pytest.mark.skip(
not LooseVersion(NUMPY_VER) >= LooseVersion(version),
reason="Requires NumPy >= %s" % version,
),
)
requires_babel = pytest.mark.skipif(
not HAS_BABEL, reason="Requires Babel with units support"
)
requires_not_babel = pytest.mark.skipif(
HAS_BABEL, reason="Requires Babel not to be installed"
)
requires_uncertainties = pytest.mark.skipif(
not HAS_UNCERTAINTIES, reason="Requires Uncertainties"
)
requires_not_uncertainties = pytest.mark.skipif(
HAS_UNCERTAINTIES, reason="Requires Uncertainties not to be installed."
)
# Parametrization
allprotos = pytest.mark.parametrize(
("protocol",), [(p,) for p in range(pickle.HIGHEST_PROTOCOL + 1)]
)
check_all_bool = pytest.mark.parametrize("check_all", [False, True])
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