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