[pre-commit.ci] pre-commit autoupdate -- ruff 2025 stable format (#12521)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.8.6 → v0.9.1](https://github.com/astral-sh/ruff-pre-commit/compare/v0.8.6...v0.9.1)

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

for more information, see https://pre-commit.ci

* Update maths/dual_number_automatic_differentiation.py

* Update maths/dual_number_automatic_differentiation.py

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

for more information, see https://pre-commit.ci

* Update dual_number_automatic_differentiation.py

* Update dual_number_automatic_differentiation.py

* No <fin-streamer> tag with the specified data-test attribute found.

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>

.pre-commit-config.yaml

@@ -16,7 +16,7 @@ repos:
       - id: auto-walrus
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.8.6
+    rev: v0.9.1
     hooks:
       - id: ruff
       - id: ruff-format

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"

ciphers/caesar_cipher.py

@@ -225,7 +225,7 @@ def brute_force(input_string: str, alphabet: str | None = None) -> dict[int, str
 
 if __name__ == "__main__":
     while True:
-        print(f'\n{"-" * 10}\n Menu\n{"-" * 10}')
+        print(f"\n{'-' * 10}\n Menu\n{'-' * 10}")
         print(*["1.Encrypt", "2.Decrypt", "3.BruteForce", "4.Quit"], sep="\n")
 
         # get user input

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

data_structures/heap/min_heap.py

@@ -124,9 +124,9 @@ class MinHeap:
         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])

data_structures/kd_tree/tests/test_kdtree.py

@@ -48,14 +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():

data_structures/suffix_tree/tests/test_suffix_tree.py

@@ -22,18 +22,18 @@ class TestSuffixTree(unittest.TestCase):
         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."""
@@ -41,18 +41,18 @@ class TestSuffixTree(unittest.TestCase):
 
     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__":

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

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

maths/dual_number_automatic_differentiation.py

@@ -17,10 +17,8 @@ class Dual:
             self.duals = rank
 
     def __repr__(self):
-        return (
-            f"{self.real}+"
-            f"{'+'.join(str(dual)+'E'+str(n+1)for n,dual in enumerate(self.duals))}"
-        )
+        s = "+".join(f"{dual}E{n}" for n, dual in enumerate(self.duals, 1))
+        return f"{self.real}+{s}"
 
     def reduce(self):
         cur = self.duals.copy()

maths/max_sum_sliding_window.py

@@ -43,4 +43,6 @@ if __name__ == "__main__":
     testmod()
     array = [randint(-1000, 1000) for i in range(100)]
     k = randint(0, 110)
-    print(f"The maximum sum of {k} consecutive elements is {max_sum_in_array(array,k)}")
+    print(
+        f"The maximum sum of {k} consecutive elements is {max_sum_in_array(array, k)}"
+    )

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

maths/prime_check.py

@@ -73,12 +73,12 @@ class Test(unittest.TestCase):
     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)

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)
 

neural_network/input_data.py

@@ -160,9 +160,9 @@ class _DataSet:
             self._num_examples = 10000
             self.one_hot = one_hot
         else:
-            assert (
-                images.shape[0] == labels.shape[0]
-            ), f"images.shape: {images.shape} labels.shape: {labels.shape}"
+            assert images.shape[0] == labels.shape[0], (
+                f"images.shape: {images.shape} labels.shape: {labels.shape}"
+            )
             self._num_examples = images.shape[0]
 
             # Convert shape from [num examples, rows, columns, depth]

scripts/validate_solutions.py

@@ -94,6 +94,6 @@ def test_project_euler(solution_path: pathlib.Path) -> None:
     solution_module = convert_path_to_module(solution_path)
     answer = str(solution_module.solution())
     answer = hashlib.sha256(answer.encode()).hexdigest()
-    assert (
-        answer == expected
-    ), f"Expected solution to {problem_number} to have hash {expected}, got {answer}"
+    assert answer == expected, (
+        f"Expected solution to {problem_number} to have hash {expected}, got {answer}"
+    )

strings/jaro_winkler.py

@@ -33,7 +33,9 @@ def jaro_winkler(str1: str, str2: str) -> float:
             right = int(min(i + limit + 1, len(_str2)))
             if char in _str2[left:right]:
                 matched.append(char)
-                _str2 = f"{_str2[0:_str2.index(char)]} {_str2[_str2.index(char) + 1:]}"
+                _str2 = (
+                    f"{_str2[0 : _str2.index(char)]} {_str2[_str2.index(char) + 1 :]}"
+                )
 
         return "".join(matched)