Travis CI: Identify our ten slowest pytests (TheAlgorithms#2350)

* Travis CI: Identify our ten slowest tests

https://howchoo.com/g/mtblodnjzjc/how-to-measure-unit-test-execution-times-in-pytest helps us to find the individual tests that are slowing down our Travis CI checks.

* fixup! Format Python code with psf/black push

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>

.travis.yml

@@ -15,6 +15,6 @@ before_script:
   - pip install -r requirements.txt  # fast fail on black, flake8, validate_filenames
 script:
   - mypy --ignore-missing-imports .
-  - pytest --doctest-modules --cov-report=term-missing:skip-covered --cov=. .
+  - pytest --doctest-modules --durations=10 --cov-report=term-missing:skip-covered --cov=. .
 after_success:
   - scripts/build_directory_md.py 2>&1 | tee DIRECTORY.md

matrix/matrix_operation.py

@@ -27,9 +27,11 @@ def subtract(matrix_a: List[list], matrix_b: List[list]) -> List[list]:
     >>> subtract([[1,2.5],[3,4]],[[2,3],[4,5.5]])
     [[-1, -0.5], [-1, -1.5]]
     """
-    if _check_not_integer(matrix_a)\
-            and _check_not_integer(matrix_b)\
-            and _verify_matrix_sizes(matrix_a, matrix_b):
+    if (
+        _check_not_integer(matrix_a)
+        and _check_not_integer(matrix_b)
+        and _verify_matrix_sizes(matrix_a, matrix_b)
+    ):
         return [[i - j for i, j in zip(*m)] for m in zip(matrix_a, matrix_b)]
 
 
@@ -60,8 +62,9 @@ def multiply(matrix_a: List[list], matrix_b: List[list]) -> List[list]:
             f"Cannot multiply matrix of dimensions ({rows[0]},{cols[0]}) "
             f"and ({rows[1]},{cols[1]})"
         )
-    return [[sum(m * n for m, n in zip(i, j)) for j in zip(*matrix_b)]
-            for i in matrix_a]
+    return [
+        [sum(m * n for m, n in zip(i, j)) for j in zip(*matrix_b)] for i in matrix_a
+    ]
 
 
 def identity(n: int) -> List[list]:
@@ -95,8 +98,8 @@ def minor(matrix: List[list], row: int, column: int) -> List[list]:
     >>> minor([[1, 2], [3, 4]], 1, 1)
     [[1]]
     """
-    minor = matrix[: row] + matrix[row + 1:]
-    return [row[:column] + row[column + 1:] for row in minor]
+    minor = matrix[:row] + matrix[row + 1 :]
+    return [row[:column] + row[column + 1 :] for row in minor]
 
 
 def determinant(matrix: List[list]) -> int:
@@ -109,8 +112,10 @@ def determinant(matrix: List[list]) -> int:
     if len(matrix) == 1:
         return matrix[0][0]
 
-    return sum(x * determinant(minor(matrix, 0, i)) * (-1) ** i
-               for i, x in enumerate(matrix[0]))
+    return sum(
+        x * determinant(minor(matrix, 0, i)) * (-1) ** i
+        for i, x in enumerate(matrix[0])
+    )
 
 
 def inverse(matrix: List[list]) -> List[list]:
@@ -124,9 +129,10 @@ def inverse(matrix: List[list]) -> List[list]:
     if det == 0:
         return None
 
-    matrix_minor = [[determinant(minor(matrix, i, j))
-                     for j in range(len(matrix))]
-                    for i in range(len(matrix))]
+    matrix_minor = [
+        [determinant(minor(matrix, i, j)) for j in range(len(matrix))]
+        for i in range(len(matrix))
+    ]
 
     cofactors = [
         [x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row])]
@@ -159,14 +165,10 @@ def _verify_matrix_sizes(matrix_a: List[list], matrix_b: List[list]) -> Tuple[li
 def main():
     matrix_a = [[12, 10], [3, 9]]
     matrix_b = [[3, 4], [7, 4]]
-    matrix_c = [[11, 12, 13, 14], [21, 22, 23, 24],
-                [31, 32, 33, 34], [41, 42, 43, 44]]
+    matrix_c = [[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
     matrix_d = [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
-    print(
-        f"Add Operation, {add(matrix_a, matrix_b) = } \n")
-    print(
-        f"Multiply Operation, {multiply(matrix_a, matrix_b) = } \n",
-    )
+    print(f"Add Operation, {add(matrix_a, matrix_b) = } \n")
+    print(f"Multiply Operation, {multiply(matrix_a, matrix_b) = } \n",)
     print(f"Identity: {identity(5)}\n")
     print(f"Minor of {matrix_c} = {minor(matrix_c, 1, 2)} \n")
     print(f"Determinant of {matrix_b} = {determinant(matrix_b)} \n")