aoc-2022/venv/Lib/site-packages/pandas/tests/frame/methods/test_dot.py

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import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class DotSharedTests:
@pytest.fixture
def obj(self):
raise NotImplementedError
@pytest.fixture
def other(self) -> DataFrame:
"""
other is a DataFrame that is indexed so that obj.dot(other) is valid
"""
raise NotImplementedError
@pytest.fixture
def expected(self, obj, other) -> DataFrame:
"""
The expected result of obj.dot(other)
"""
raise NotImplementedError
@classmethod
def reduced_dim_assert(cls, result, expected):
"""
Assertion about results with 1 fewer dimension that self.obj
"""
raise NotImplementedError
def test_dot_equiv_values_dot(self, obj, other, expected):
# `expected` is constructed from obj.values.dot(other.values)
result = obj.dot(other)
tm.assert_equal(result, expected)
def test_dot_2d_ndarray(self, obj, other, expected):
# Check ndarray argument; in this case we get matching values,
# but index/columns may not match
result = obj.dot(other.values)
assert np.all(result == expected.values)
def test_dot_1d_ndarray(self, obj, expected):
# can pass correct-length array
row = obj.iloc[0] if obj.ndim == 2 else obj
result = obj.dot(row.values)
expected = obj.dot(row)
self.reduced_dim_assert(result, expected)
def test_dot_series(self, obj, other, expected):
# Check series argument
result = obj.dot(other["1"])
self.reduced_dim_assert(result, expected["1"])
def test_dot_series_alignment(self, obj, other, expected):
result = obj.dot(other.iloc[::-1]["1"])
self.reduced_dim_assert(result, expected["1"])
def test_dot_aligns(self, obj, other, expected):
# Check index alignment
other2 = other.iloc[::-1]
result = obj.dot(other2)
tm.assert_equal(result, expected)
def test_dot_shape_mismatch(self, obj):
msg = "Dot product shape mismatch"
# exception raised is of type Exception
with pytest.raises(Exception, match=msg):
obj.dot(obj.values[:3])
def test_dot_misaligned(self, obj, other):
msg = "matrices are not aligned"
with pytest.raises(ValueError, match=msg):
obj.dot(other.T)
class TestSeriesDot(DotSharedTests):
@pytest.fixture
def obj(self):
return Series(np.random.randn(4), index=["p", "q", "r", "s"])
@pytest.fixture
def other(self):
return DataFrame(
np.random.randn(3, 4), index=["1", "2", "3"], columns=["p", "q", "r", "s"]
).T
@pytest.fixture
def expected(self, obj, other):
return Series(np.dot(obj.values, other.values), index=other.columns)
@classmethod
def reduced_dim_assert(cls, result, expected):
"""
Assertion about results with 1 fewer dimension that self.obj
"""
tm.assert_almost_equal(result, expected)
class TestDataFrameDot(DotSharedTests):
@pytest.fixture
def obj(self):
return DataFrame(
np.random.randn(3, 4), index=["a", "b", "c"], columns=["p", "q", "r", "s"]
)
@pytest.fixture
def other(self):
return DataFrame(
np.random.randn(4, 2), index=["p", "q", "r", "s"], columns=["1", "2"]
)
@pytest.fixture
def expected(self, obj, other):
return DataFrame(
np.dot(obj.values, other.values), index=obj.index, columns=other.columns
)
@classmethod
def reduced_dim_assert(cls, result, expected):
"""
Assertion about results with 1 fewer dimension that self.obj
"""
tm.assert_series_equal(result, expected, check_names=False)
assert result.name is None