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Ruff pandas vet (#10281)

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* Python linting: Add ruff rules for Pandas-vet and Pytest-style

* updating DIRECTORY.md

---------

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
This commit is contained in:
Christian Clauss
2023-10-11 20:30:02 +02:00
committed by GitHub
parent d5323dbaee
commit 3f094fe49d
28 changed files with 260 additions and 241 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
matrix/sherman_morrison.py
View File

@@ -114,7 +114,8 @@ class Matrix:
# Validation
assert isinstance(another, Matrix)
assert self.row == another.row and self.column == another.column
assert self.row == another.row
assert self.column == another.column
# Add
result = Matrix(self.row, self.column)
@@ -225,7 +226,8 @@ class Matrix:
"""
# Size validation
assert isinstance(u, Matrix) and isinstance(v, Matrix)
assert isinstance(u, Matrix)
assert isinstance(v, Matrix)
assert self.row == self.column == u.row == v.row # u, v should be column vector
assert u.column == v.column == 1 # u, v should be column vector

28
matrix/tests/test_matrix_operation.py
View File

@@ -31,14 +31,14 @@ stream_handler = logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
@pytest.mark.mat_ops
@pytest.mark.mat_ops()
@pytest.mark.parametrize(
("mat1", "mat2"), [(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]
)
def test_addition(mat1, mat2):
if (np.array(mat1)).shape < (2, 2) or (np.array(mat2)).shape < (2, 2):
logger.info(f"\n\t{test_addition.__name__} returned integer")
with pytest.raises(TypeError):
logger.info(f"\n\t{test_addition.__name__} returned integer")
matop.add(mat1, mat2)
elif (np.array(mat1)).shape == (np.array(mat2)).shape:
logger.info(f"\n\t{test_addition.__name__} with same matrix dims")
@@ -46,19 +46,19 @@ def test_addition(mat1, mat2):
theo = matop.add(mat1, mat2)
assert theo == act
else:
logger.info(f"\n\t{test_addition.__name__} with different matrix dims")
with pytest.raises(ValueError):
logger.info(f"\n\t{test_addition.__name__} with different matrix dims")
matop.add(mat1, mat2)
@pytest.mark.mat_ops
@pytest.mark.mat_ops()
@pytest.mark.parametrize(
("mat1", "mat2"), [(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]
)
def test_subtraction(mat1, mat2):
if (np.array(mat1)).shape < (2, 2) or (np.array(mat2)).shape < (2, 2):
logger.info(f"\n\t{test_subtraction.__name__} returned integer")
with pytest.raises(TypeError):
logger.info(f"\n\t{test_subtraction.__name__} returned integer")
matop.subtract(mat1, mat2)
elif (np.array(mat1)).shape == (np.array(mat2)).shape:
logger.info(f"\n\t{test_subtraction.__name__} with same matrix dims")
@@ -66,12 +66,12 @@ def test_subtraction(mat1, mat2):
theo = matop.subtract(mat1, mat2)
assert theo == act
else:
logger.info(f"\n\t{test_subtraction.__name__} with different matrix dims")
with pytest.raises(ValueError):
logger.info(f"\n\t{test_subtraction.__name__} with different matrix dims")
assert matop.subtract(mat1, mat2)
@pytest.mark.mat_ops
@pytest.mark.mat_ops()
@pytest.mark.parametrize(
("mat1", "mat2"), [(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]
)
@@ -86,33 +86,33 @@ def test_multiplication(mat1, mat2):
theo = matop.multiply(mat1, mat2)
assert theo == act
else:
logger.info(
f"\n\t{test_multiplication.__name__} does not meet dim requirements"
)
with pytest.raises(ValueError):
logger.info(
f"\n\t{test_multiplication.__name__} does not meet dim requirements"
)
assert matop.subtract(mat1, mat2)
@pytest.mark.mat_ops
@pytest.mark.mat_ops()
def test_scalar_multiply():
act = (3.5 * np.array(mat_a)).tolist()
theo = matop.scalar_multiply(mat_a, 3.5)
assert theo == act
@pytest.mark.mat_ops
@pytest.mark.mat_ops()
def test_identity():
act = (np.identity(5)).tolist()
theo = matop.identity(5)
assert theo == act
@pytest.mark.mat_ops
@pytest.mark.mat_ops()
@pytest.mark.parametrize("mat", [mat_a, mat_b, mat_c, mat_d, mat_e, mat_f])
def test_transpose(mat):
if (np.array(mat)).shape < (2, 2):
logger.info(f"\n\t{test_transpose.__name__} returned integer")
with pytest.raises(TypeError):
logger.info(f"\n\t{test_transpose.__name__} returned integer")
matop.transpose(mat)
else:
act = (np.transpose(mat)).tolist()