[pre-commit.ci] auto fixes from pre-commit.com hooks

pre-commit-ci[bot] · pre-commit-ci[bot] · commit 3237b53eee0c · 2025-10-01T14:37:28.000Z
for more information, see https://pre-commit.ci
diff --git a/ciphers/base64_cipher.py b/ciphers/base64_cipher.py
@@ -105,13 +105,13 @@ def base64_decode(encoded_data: str) -> bytes:
 
     # Check if the encoded string contains non base64 characters
     if padding:
-        assert all(
-            char in B64_CHARSET for char in encoded_data[:-padding]
-        ), "Invalid base64 character(s) found."
+        assert all(char in B64_CHARSET for char in encoded_data[:-padding]), (
+            "Invalid base64 character(s) found."
+        )
     else:
-        assert all(
-            char in B64_CHARSET for char in encoded_data
-        ), "Invalid base64 character(s) found."
+        assert all(char in B64_CHARSET for char in encoded_data), (
+            "Invalid base64 character(s) found."
+        )
 
     # Check the padding
     assert len(encoded_data) % 4 == 0 and padding < 3, "Incorrect padding"
diff --git a/computer_vision/cnn_classification.py b/computer_vision/cnn_classification.py
@@ -22,6 +22,7 @@
 # Part 1 - Building the CNN
 
 import numpy as np
+
 # Importing the Keras libraries and packages
 import tensorflow as tf
 from keras import layers, models
diff --git a/data_structures/hashing/number_theory/prime_numbers.py b/data_structures/hashing/number_theory/prime_numbers.py
@@ -32,9 +32,9 @@ def is_prime(number: int) -> bool:
     """
 
     # precondition
-    assert isinstance(number, int) and (
-        number >= 0
-    ), "'number' must been an int and positive"
+    assert isinstance(number, int) and (number >= 0), (
+        "'number' must been an int and positive"
+    )
 
     if 1 < number < 4:
         # 2 and 3 are primes
diff --git a/data_structures/heap/min_heap.py b/data_structures/heap/min_heap.py
@@ -124,9 +124,9 @@ def is_empty(self):
         return len(self.heap) == 0
 
     def decrease_key(self, node, new_value):
-        assert (
-            self.heap[self.idx_of_element[node]].val > new_value
-        ), "newValue must be less that current value"
+        assert self.heap[self.idx_of_element[node]].val > new_value, (
+            "newValue must be less that current value"
+        )
         node.val = new_value
         self.heap_dict[node.name] = new_value
         self.sift_up(self.idx_of_element[node])
diff --git a/data_structures/kd_tree/example/example_usage.py b/data_structures/kd_tree/example/example_usage.py
@@ -10,8 +10,7 @@
 
 from data_structures.kd_tree.build_kdtree import build_kdtree
 from data_structures.kd_tree.example.hypercube_points import hypercube_points
-from data_structures.kd_tree.nearest_neighbour_search import \
-    nearest_neighbour_search
+from data_structures.kd_tree.nearest_neighbour_search import nearest_neighbour_search
 
 
 def main() -> None:
diff --git a/data_structures/kd_tree/tests/test_kdtree.py b/data_structures/kd_tree/tests/test_kdtree.py
@@ -12,8 +12,7 @@
 from data_structures.kd_tree.build_kdtree import build_kdtree
 from data_structures.kd_tree.example.hypercube_points import hypercube_points
 from data_structures.kd_tree.kd_node import KDNode
-from data_structures.kd_tree.nearest_neighbour_search import \
-    nearest_neighbour_search
+from data_structures.kd_tree.nearest_neighbour_search import nearest_neighbour_search
 
 
 @pytest.mark.parametrize(
@@ -49,14 +48,14 @@ def test_build_kdtree(num_points, cube_size, num_dimensions, depth, expected_res
         assert kdtree is not None, "Expected a KDNode, got None"
 
         # Check if root has correct dimensions
-        assert (
-            len(kdtree.point) == num_dimensions
-        ), f"Expected point dimension {num_dimensions}, got {len(kdtree.point)}"
+        assert len(kdtree.point) == num_dimensions, (
+            f"Expected point dimension {num_dimensions}, got {len(kdtree.point)}"
+        )
 
         # Check that the tree is balanced to some extent (simplistic check)
-        assert isinstance(
-            kdtree, KDNode
-        ), f"Expected KDNode instance, got {type(kdtree)}"
+        assert isinstance(kdtree, KDNode), (
+            f"Expected KDNode instance, got {type(kdtree)}"
+        )
 
 
 def test_nearest_neighbour_search():
diff --git a/data_structures/suffix_tree/tests/test_suffix_tree.py b/data_structures/suffix_tree/tests/test_suffix_tree.py
@@ -22,37 +22,37 @@ def test_search_existing_patterns(self) -> None:
         patterns = ["ana", "ban", "na"]
         for pattern in patterns:
             with self.subTest(pattern=pattern):
-                assert self.suffix_tree.search(
-                    pattern
-                ), f"Pattern '{pattern}' should be found."
+                assert self.suffix_tree.search(pattern), (
+                    f"Pattern '{pattern}' should be found."
+                )
 
     def test_search_non_existing_patterns(self) -> None:
         """Test searching for patterns that do not exist in the suffix tree."""
         patterns = ["xyz", "apple", "cat"]
         for pattern in patterns:
             with self.subTest(pattern=pattern):
-                assert not self.suffix_tree.search(
-                    pattern
-                ), f"Pattern '{pattern}' should not be found."
+                assert not self.suffix_tree.search(pattern), (
+                    f"Pattern '{pattern}' should not be found."
+                )
 
     def test_search_empty_pattern(self) -> None:
         """Test searching for an empty pattern."""
         assert self.suffix_tree.search(""), "An empty pattern should be found."
 
     def test_search_full_text(self) -> None:
         """Test searching for the full text."""
-        assert self.suffix_tree.search(
-            self.text
-        ), "The full text should be found in the suffix tree."
+        assert self.suffix_tree.search(self.text), (
+            "The full text should be found in the suffix tree."
+        )
 
     def test_search_substrings(self) -> None:
         """Test searching for substrings of the full text."""
         substrings = ["ban", "ana", "a", "na"]
         for substring in substrings:
             with self.subTest(substring=substring):
-                assert self.suffix_tree.search(
-                    substring
-                ), f"Substring '{substring}' should be found."
+                assert self.suffix_tree.search(substring), (
+                    f"Substring '{substring}' should be found."
+                )
 
 
 if __name__ == "__main__":
diff --git a/digital_image_processing/filters/gabor_filter.py b/digital_image_processing/filters/gabor_filter.py
@@ -1,8 +1,7 @@
 # Implementation of the Gaborfilter
 # https://en.wikipedia.org/wiki/Gabor_filter
 import numpy as np
-from cv2 import (COLOR_BGR2GRAY, CV_8UC3, cvtColor, filter2D, imread, imshow,
-                 waitKey)
+from cv2 import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filter2D, imread, imshow, waitKey
 
 
 def gabor_filter_kernel(
@@ -49,9 +48,9 @@ def gabor_filter_kernel(
             _y = -sin_theta * px + cos_theta * py
 
             # fill kernel
-            gabor[y, x] = np.exp(
-                -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)
-            ) * np.cos(2 * np.pi * _x / lambd + psi)
+            gabor[y, x] = np.exp(-(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)) * np.cos(
+                2 * np.pi * _x / lambd + psi
+            )
 
     return gabor
 
diff --git a/digital_image_processing/filters/laplacian_filter.py b/digital_image_processing/filters/laplacian_filter.py
@@ -3,8 +3,16 @@
 # @Date    : 10/04/2023
 
 import numpy as np
-from cv2 import (BORDER_DEFAULT, COLOR_BGR2GRAY, CV_64F, cvtColor, filter2D,
-                 imread, imshow, waitKey)
+from cv2 import (
+    BORDER_DEFAULT,
+    COLOR_BGR2GRAY,
+    CV_64F,
+    cvtColor,
+    filter2D,
+    imread,
+    imshow,
+    waitKey,
+)
 
 from digital_image_processing.filters.gaussian_filter import gaussian_filter
 
diff --git a/dynamic_programming/climbing_stairs.py b/dynamic_programming/climbing_stairs.py
@@ -25,9 +25,9 @@ def climb_stairs(number_of_steps: int) -> int:
         ...
     AssertionError: number_of_steps needs to be positive integer, your input -7
     """
-    assert (
-        isinstance(number_of_steps, int) and number_of_steps > 0
-    ), f"number_of_steps needs to be positive integer, your input {number_of_steps}"
+    assert isinstance(number_of_steps, int) and number_of_steps > 0, (
+        f"number_of_steps needs to be positive integer, your input {number_of_steps}"
+    )
     if number_of_steps == 1:
         return 1
     previous, current = 1, 1
diff --git a/dynamic_programming/iterating_through_submasks.py b/dynamic_programming/iterating_through_submasks.py
@@ -37,9 +37,9 @@ def list_of_submasks(mask: int) -> list[int]:
 
     """
 
-    assert (
-        isinstance(mask, int) and mask > 0
-    ), f"mask needs to be positive integer, your input {mask}"
+    assert isinstance(mask, int) and mask > 0, (
+        f"mask needs to be positive integer, your input {mask}"
+    )
 
     """
     first submask iterated will be mask itself then operation will be performed
diff --git a/financial/time_and_half_pay.py b/financial/time_and_half_pay.py
@@ -17,15 +17,15 @@ def pay(hours_worked: float, pay_rate: float, hours: float = 40) -> float:
     10.0
     """
     # Check that all input parameters are float or integer
-    assert isinstance(
-        hours_worked, (float, int)
-    ), "Parameter 'hours_worked' must be of type 'int' or 'float'"
-    assert isinstance(
-        pay_rate, (float, int)
-    ), "Parameter 'pay_rate' must be of type 'int' or 'float'"
-    assert isinstance(
-        hours, (float, int)
-    ), "Parameter 'hours' must be of type 'int' or 'float'"
+    assert isinstance(hours_worked, (float, int)), (
+        "Parameter 'hours_worked' must be of type 'int' or 'float'"
+    )
+    assert isinstance(pay_rate, (float, int)), (
+        "Parameter 'pay_rate' must be of type 'int' or 'float'"
+    )
+    assert isinstance(hours, (float, int)), (
+        "Parameter 'hours' must be of type 'int' or 'float'"
+    )
 
     normal_pay = hours_worked * pay_rate
     over_time = max(0, hours_worked - hours)
diff --git a/linear_algebra/src/test_linear_algebra.py b/linear_algebra/src/test_linear_algebra.py
@@ -11,8 +11,14 @@
 
 import pytest
 
-from .lib import (Matrix, Vector, axpy, square_zero_matrix, unit_basis_vector,
-                  zero_vector)
+from .lib import (
+    Matrix,
+    Vector,
+    axpy,
+    square_zero_matrix,
+    unit_basis_vector,
+    zero_vector,
+)
 
 
 class Test(unittest.TestCase):
diff --git a/maths/numerical_analysis/integration_by_simpson_approx.py b/maths/numerical_analysis/integration_by_simpson_approx.py
@@ -88,18 +88,18 @@ def simpson_integration(function, a: float, b: float, precision: int = 4) -> flo
     AssertionError: precision should be positive integer your input : -1
 
     """
-    assert callable(
-        function
-    ), f"the function(object) passed should be callable your input : {function}"
+    assert callable(function), (
+        f"the function(object) passed should be callable your input : {function}"
+    )
     assert isinstance(a, (float, int)), f"a should be float or integer your input : {a}"
     assert isinstance(function(a), (float, int)), (
         "the function should return integer or float return type of your function, "
         f"{type(a)}"
     )
     assert isinstance(b, (float, int)), f"b should be float or integer your input : {b}"
-    assert (
-        isinstance(precision, int) and precision > 0
-    ), f"precision should be positive integer your input : {precision}"
+    assert isinstance(precision, int) and precision > 0, (
+        f"precision should be positive integer your input : {precision}"
+    )
 
     # just applying the formula of simpson for approximate integration written in
     # mentioned article in first comment of this file and above this function
diff --git a/maths/prime_check.py b/maths/prime_check.py
@@ -73,12 +73,12 @@ def test_primes(self):
     def test_not_primes(self):
         with pytest.raises(ValueError):
             is_prime(-19)
-        assert not is_prime(
-            0
-        ), "Zero doesn't have any positive factors, primes must have exactly two."
-        assert not is_prime(
-            1
-        ), "One only has 1 positive factor, primes must have exactly two."
+        assert not is_prime(0), (
+            "Zero doesn't have any positive factors, primes must have exactly two."
+        )
+        assert not is_prime(1), (
+            "One only has 1 positive factor, primes must have exactly two."
+        )
         assert not is_prime(2 * 2)
         assert not is_prime(2 * 3)
         assert not is_prime(3 * 3)
diff --git a/maths/primelib.py b/maths/primelib.py
@@ -66,9 +66,9 @@ def is_prime(number: int) -> bool:
     """
 
     # precondition
-    assert isinstance(number, int) and (
-        number >= 0
-    ), "'number' must been an int and positive"
+    assert isinstance(number, int) and (number >= 0), (
+        "'number' must been an int and positive"
+    )
 
     status = True
 
@@ -254,9 +254,9 @@ def greatest_prime_factor(number):
     """
 
     # precondition
-    assert isinstance(number, int) and (
-        number >= 0
-    ), "'number' must been an int and >= 0"
+    assert isinstance(number, int) and (number >= 0), (
+        "'number' must been an int and >= 0"
+    )
 
     ans = 0
 
@@ -296,9 +296,9 @@ def smallest_prime_factor(number):
     """
 
     # precondition
-    assert isinstance(number, int) and (
-        number >= 0
-    ), "'number' must been an int and >= 0"
+    assert isinstance(number, int) and (number >= 0), (
+        "'number' must been an int and >= 0"
+    )
 
     ans = 0
 
@@ -399,9 +399,9 @@ def goldbach(number):
     """
 
     # precondition
-    assert (
-        isinstance(number, int) and (number > 2) and is_even(number)
-    ), "'number' must been an int, even and > 2"
+    assert isinstance(number, int) and (number > 2) and is_even(number), (
+        "'number' must been an int, even and > 2"
+    )
 
     ans = []  # this list will returned
 
@@ -525,9 +525,9 @@ def kg_v(number1, number2):
             done.append(n)
 
     # precondition
-    assert isinstance(ans, int) and (
-        ans >= 0
-    ), "'ans' must been from type int and positive"
+    assert isinstance(ans, int) and (ans >= 0), (
+        "'ans' must been from type int and positive"
+    )
 
     return ans
 
@@ -574,9 +574,9 @@ def get_prime(n):
             ans += 1
 
     # precondition
-    assert isinstance(ans, int) and is_prime(
-        ans
-    ), "'ans' must been a prime number and from type int"
+    assert isinstance(ans, int) and is_prime(ans), (
+        "'ans' must been a prime number and from type int"
+    )
 
     return ans
 
@@ -705,9 +705,9 @@ def is_perfect_number(number):
     """
 
     # precondition
-    assert isinstance(number, int) and (
-        number > 1
-    ), "'number' must been an int and >= 1"
+    assert isinstance(number, int) and (number > 1), (
+        "'number' must been an int and >= 1"
+    )
 
     divisors = get_divisors(number)
 
diff --git a/matrix/tests/test_matrix_operation.py b/matrix/tests/test_matrix_operation.py
@@ -7,6 +7,7 @@
 """
 
 import logging
+
 # standard libraries
 import sys
 
diff --git a/neural_network/input_data.py b/neural_network/input_data.py
diff --git a/other/password.py b/other/password.py
diff --git a/quantum/q_fourier_transform.py b/quantum/q_fourier_transform.py
diff --git a/scripts/validate_solutions.py b/scripts/validate_solutions.py
