def testDotExecution(self):
df1_raw = pd.DataFrame(np.random.rand(4, 7))
df2_raw = pd.DataFrame(np.random.rand(7, 5), columns=list('efghi'))
s1_raw = pd.Series(np.random.rand(7))
s2_raw = pd.Series(np.random.rand(7))
df1 = DataFrame(df1_raw, chunk_size=(3, 2))
df2 = DataFrame(df2_raw, chunk_size=(3, 4))
# df.dot(df)
r = df1.dot(df2)
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = df1_raw.dot(df2_raw)
pd.testing.assert_frame_equal(result, expected)
# test @
r = df1 @ df2
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = df1_raw @ df2_raw
pd.testing.assert_frame_equal(result, expected)
series1 = Series(s1_raw, chunk_size=5)
# df.dot(series)
r = df1.dot(series1)
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = df1_raw.dot(s1_raw)
pd.testing.assert_series_equal(result, expected)
# df.dot(2d_array)
r = df1.dot(df2_raw.to_numpy())
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = df1_raw.dot(df2_raw.to_numpy())
pd.testing.assert_frame_equal(result, expected)
# df.dot(1d_array)
r = df1.dot(s1_raw.to_numpy())
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = df1_raw.dot(s1_raw.to_numpy())
pd.testing.assert_series_equal(result, expected)
series2 = Series(s2_raw, chunk_size=4)
# series.dot(series)
r = series1.dot(series2)
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = s1_raw.dot(s2_raw)
self.assertAlmostEqual(result, expected)
# series.dot(df)
r = series1.dot(df2)
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = s1_raw.dot(df2_raw)
pd.testing.assert_series_equal(result, expected)
# series.dot(2d_array)
r = series1.dot(df2_raw.to_numpy())
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = s1_raw.dot(df2_raw.to_numpy())
np.testing.assert_almost_equal(result, expected)
# series.dot(1d_array)
r = series1.dot(s2_raw.to_numpy())
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = s1_raw.dot(s2_raw.to_numpy())
self.assertAlmostEqual(result, expected)
def test_dot_execution(setup):
df1_raw = pd.DataFrame(np.random.rand(4, 7))
df2_raw = pd.DataFrame(np.random.rand(7, 5), columns=list('efghi'))
s1_raw = pd.Series(np.random.rand(7))
s2_raw = pd.Series(np.random.rand(7))
df1 = DataFrame(df1_raw, chunk_size=(3, 2))
df2 = DataFrame(df2_raw, chunk_size=(3, 4))
# df.dot(df)
r = df1.dot(df2)
result = r.execute().fetch()
expected = df1_raw.dot(df2_raw)
pd.testing.assert_frame_equal(result, expected)
# test @
r = df1 @ df2
result = r.execute().fetch()
expected = df1_raw @ df2_raw
pd.testing.assert_frame_equal(result, expected)
series1 = Series(s1_raw, chunk_size=5)
# df.dot(series)
r = df1.dot(series1)
result = r.execute().fetch()
expected = df1_raw.dot(s1_raw)
pd.testing.assert_series_equal(result, expected)
# df.dot(2d_array)
r = df1.dot(df2_raw.to_numpy())
result = r.execute().fetch()
expected = df1_raw.dot(df2_raw.to_numpy())
pd.testing.assert_frame_equal(result, expected)
# df.dot(1d_array)
r = df1.dot(s1_raw.to_numpy())
result = r.execute().fetch()
expected = df1_raw.dot(s1_raw.to_numpy())
pd.testing.assert_series_equal(result, expected)
series2 = Series(s2_raw, chunk_size=4)
# series.dot(series)
r = series1.dot(series2)
result = r.execute().fetch()
expected = s1_raw.dot(s2_raw)
assert pytest.approx(result) == expected
# series.dot(df)
r = series1.dot(df2)
result = r.execute().fetch()
expected = s1_raw.dot(df2_raw)
pd.testing.assert_series_equal(result, expected)
# series.dot(2d_array)
r = series1.dot(df2_raw.to_numpy())
result = r.execute().fetch()
expected = s1_raw.dot(df2_raw.to_numpy())
np.testing.assert_almost_equal(result, expected)
# series.dot(1d_array)
r = series1.dot(s2_raw.to_numpy())
result = r.execute().fetch()
expected = s1_raw.dot(s2_raw.to_numpy())
assert pytest.approx(result) == expected