Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
171 lines
4.4 KiB
171 lines
4.4 KiB
4 years ago
|
import numpy as np
|
||
|
import pytest
|
||
|
|
||
|
from pandas._libs import iNaT
|
||
|
|
||
|
from pandas.core.dtypes.dtypes import PeriodDtype
|
||
|
|
||
|
import pandas as pd
|
||
|
from pandas.core.arrays import PeriodArray
|
||
|
from pandas.tests.extension import base
|
||
|
|
||
|
|
||
|
@pytest.fixture
|
||
|
def dtype():
|
||
|
return PeriodDtype(freq="D")
|
||
|
|
||
|
|
||
|
@pytest.fixture
|
||
|
def data(dtype):
|
||
|
return PeriodArray(np.arange(1970, 2070), freq=dtype.freq)
|
||
|
|
||
|
|
||
|
@pytest.fixture
|
||
|
def data_for_twos(dtype):
|
||
|
return PeriodArray(np.ones(100) * 2, freq=dtype.freq)
|
||
|
|
||
|
|
||
|
@pytest.fixture
|
||
|
def data_for_sorting(dtype):
|
||
|
return PeriodArray([2018, 2019, 2017], freq=dtype.freq)
|
||
|
|
||
|
|
||
|
@pytest.fixture
|
||
|
def data_missing(dtype):
|
||
|
return PeriodArray([iNaT, 2017], freq=dtype.freq)
|
||
|
|
||
|
|
||
|
@pytest.fixture
|
||
|
def data_missing_for_sorting(dtype):
|
||
|
return PeriodArray([2018, iNaT, 2017], freq=dtype.freq)
|
||
|
|
||
|
|
||
|
@pytest.fixture
|
||
|
def data_for_grouping(dtype):
|
||
|
B = 2018
|
||
|
NA = iNaT
|
||
|
A = 2017
|
||
|
C = 2019
|
||
|
return PeriodArray([B, B, NA, NA, A, A, B, C], freq=dtype.freq)
|
||
|
|
||
|
|
||
|
@pytest.fixture
|
||
|
def na_value():
|
||
|
return pd.NaT
|
||
|
|
||
|
|
||
|
class BasePeriodTests:
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestPeriodDtype(BasePeriodTests, base.BaseDtypeTests):
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestConstructors(BasePeriodTests, base.BaseConstructorsTests):
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestGetitem(BasePeriodTests, base.BaseGetitemTests):
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestMethods(BasePeriodTests, base.BaseMethodsTests):
|
||
|
def test_combine_add(self, data_repeated):
|
||
|
# Period + Period is not defined.
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestInterface(BasePeriodTests, base.BaseInterfaceTests):
|
||
|
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestArithmeticOps(BasePeriodTests, base.BaseArithmeticOpsTests):
|
||
|
implements = {"__sub__", "__rsub__"}
|
||
|
|
||
|
def test_arith_frame_with_scalar(self, data, all_arithmetic_operators):
|
||
|
# frame & scalar
|
||
|
if all_arithmetic_operators in self.implements:
|
||
|
df = pd.DataFrame({"A": data})
|
||
|
self.check_opname(df, all_arithmetic_operators, data[0], exc=None)
|
||
|
else:
|
||
|
# ... but not the rest.
|
||
|
super().test_arith_frame_with_scalar(data, all_arithmetic_operators)
|
||
|
|
||
|
def test_arith_series_with_scalar(self, data, all_arithmetic_operators):
|
||
|
# we implement substitution...
|
||
|
if all_arithmetic_operators in self.implements:
|
||
|
s = pd.Series(data)
|
||
|
self.check_opname(s, all_arithmetic_operators, s.iloc[0], exc=None)
|
||
|
else:
|
||
|
# ... but not the rest.
|
||
|
super().test_arith_series_with_scalar(data, all_arithmetic_operators)
|
||
|
|
||
|
def test_arith_series_with_array(self, data, all_arithmetic_operators):
|
||
|
if all_arithmetic_operators in self.implements:
|
||
|
s = pd.Series(data)
|
||
|
self.check_opname(s, all_arithmetic_operators, s.iloc[0], exc=None)
|
||
|
else:
|
||
|
# ... but not the rest.
|
||
|
super().test_arith_series_with_scalar(data, all_arithmetic_operators)
|
||
|
|
||
|
def _check_divmod_op(self, s, op, other, exc=NotImplementedError):
|
||
|
super()._check_divmod_op(s, op, other, exc=TypeError)
|
||
|
|
||
|
def test_add_series_with_extension_array(self, data):
|
||
|
# we don't implement + for Period
|
||
|
s = pd.Series(data)
|
||
|
msg = (
|
||
|
r"unsupported operand type\(s\) for \+: "
|
||
|
r"\'PeriodArray\' and \'PeriodArray\'"
|
||
|
)
|
||
|
with pytest.raises(TypeError, match=msg):
|
||
|
s + data
|
||
|
|
||
|
def test_error(self):
|
||
|
pass
|
||
|
|
||
|
def test_direct_arith_with_series_returns_not_implemented(self, data):
|
||
|
# Override to use __sub__ instead of __add__
|
||
|
other = pd.Series(data)
|
||
|
result = data.__sub__(other)
|
||
|
assert result is NotImplemented
|
||
|
|
||
|
|
||
|
class TestCasting(BasePeriodTests, base.BaseCastingTests):
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestComparisonOps(BasePeriodTests, base.BaseComparisonOpsTests):
|
||
|
def _compare_other(self, s, data, op_name, other):
|
||
|
# the base test is not appropriate for us. We raise on comparison
|
||
|
# with (some) integers, depending on the value.
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestMissing(BasePeriodTests, base.BaseMissingTests):
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestReshaping(BasePeriodTests, base.BaseReshapingTests):
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestSetitem(BasePeriodTests, base.BaseSetitemTests):
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestGroupby(BasePeriodTests, base.BaseGroupbyTests):
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestPrinting(BasePeriodTests, base.BasePrintingTests):
|
||
|
pass
|
||
|
|
||
|
|
||
|
class TestParsing(BasePeriodTests, base.BaseParsingTests):
|
||
|
@pytest.mark.parametrize("engine", ["c", "python"])
|
||
|
def test_EA_types(self, engine, data):
|
||
|
super().test_EA_types(engine, data)
|