Make some ruff fixes (#8154)

* Make some ruff fixes

* Undo manual fix

* Undo manual fix

* Updates from ruff=0.0.251

audio_filters/iir_filter.py

@@ -47,7 +47,7 @@ class IIRFilter:
             >>> filt.set_coefficients(a_coeffs, b_coeffs)
         """
         if len(a_coeffs) < self.order:
-            a_coeffs = [1.0] + a_coeffs
+            a_coeffs = [1.0, *a_coeffs]
 
         if len(a_coeffs) != self.order + 1:
             raise ValueError(

backtracking/n_queens_math.py

@@ -129,9 +129,9 @@ def depth_first_search(
 
         # If it is False we call dfs function again and we update the inputs
         depth_first_search(
-            possible_board + [col],
-            diagonal_right_collisions + [row - col],
-            diagonal_left_collisions + [row + col],
+            [*possible_board, col],
+            [*diagonal_right_collisions, row - col],
+            [*diagonal_left_collisions, row + col],
             boards,
             n,
         )

backtracking/sum_of_subsets.py

@@ -44,7 +44,7 @@ def create_state_space_tree(
             nums,
             max_sum,
             index + 1,
-            path + [nums[index]],
+            [*path, nums[index]],
             result,
             remaining_nums_sum - nums[index],
         )

ciphers/bifid.py

@@ -33,7 +33,7 @@ class BifidCipher:
         >>> np.array_equal(BifidCipher().letter_to_numbers('u'), [4,5])
         True
         """
-        index1, index2 = np.where(self.SQUARE == letter)
+        index1, index2 = np.where(letter == self.SQUARE)
         indexes = np.concatenate([index1 + 1, index2 + 1])
         return indexes
 

ciphers/diffie_hellman.py

@@ -228,10 +228,10 @@ class DiffieHellman:
 
     def is_valid_public_key(self, key: int) -> bool:
         # check if the other public key is valid based on NIST SP800-56
-        if 2 <= key and key <= self.prime - 2:
-            if pow(key, (self.prime - 1) // 2, self.prime) == 1:
-                return True
-        return False
+        return (
+            2 <= key <= self.prime - 2
+            and pow(key, (self.prime - 1) // 2, self.prime) == 1
+        )
 
     def generate_shared_key(self, other_key_str: str) -> str:
         other_key = int(other_key_str, base=16)
@@ -243,10 +243,10 @@ class DiffieHellman:
     @staticmethod
     def is_valid_public_key_static(remote_public_key_str: int, prime: int) -> bool:
         # check if the other public key is valid based on NIST SP800-56
-        if 2 <= remote_public_key_str and remote_public_key_str <= prime - 2:
-            if pow(remote_public_key_str, (prime - 1) // 2, prime) == 1:
-                return True
-        return False
+        return (
+            2 <= remote_public_key_str <= prime - 2
+            and pow(remote_public_key_str, (prime - 1) // 2, prime) == 1
+        )
 
     @staticmethod
     def generate_shared_key_static(

ciphers/polybius.py

@@ -31,7 +31,7 @@ class PolybiusCipher:
         >>> np.array_equal(PolybiusCipher().letter_to_numbers('u'), [4,5])
         True
         """
-        index1, index2 = np.where(self.SQUARE == letter)
+        index1, index2 = np.where(letter == self.SQUARE)
         indexes = np.concatenate([index1 + 1, index2 + 1])
         return indexes
 

ciphers/xor_cipher.py

@@ -128,8 +128,7 @@ class XORCipher:
         assert isinstance(file, str) and isinstance(key, int)
 
         try:
-            with open(file) as fin:
-                with open("encrypt.out", "w+") as fout:
+            with open(file) as fin, open("encrypt.out", "w+") as fout:
                 # actual encrypt-process
                 for line in fin:
                     fout.write(self.encrypt_string(line, key))
@@ -152,8 +151,7 @@ class XORCipher:
         assert isinstance(file, str) and isinstance(key, int)
 
         try:
-            with open(file) as fin:
-                with open("decrypt.out", "w+") as fout:
+            with open(file) as fin, open("decrypt.out", "w+") as fout:
                 # actual encrypt-process
                 for line in fin:
                     fout.write(self.decrypt_string(line, key))

computer_vision/mosaic_augmentation.py

@@ -159,7 +159,7 @@ def update_image_and_anno(
                 new_anno.append([bbox[0], xmin, ymin, xmax, ymax])
 
     # Remove bounding box small than scale of filter
-    if 0 < filter_scale:
+    if filter_scale > 0:
         new_anno = [
             anno
             for anno in new_anno

data_structures/binary_tree/binary_search_tree.py

@@ -60,7 +60,7 @@ class BinarySearchTree:
         else:  # Tree is not empty
             parent_node = self.root  # from root
             if parent_node is None:
-                return None
+                return
             while True:  # While we don't get to a leaf
                 if value < parent_node.value:  # We go left
                     if parent_node.left is None:

data_structures/binary_tree/binary_tree_traversals.py

@@ -37,7 +37,7 @@ def preorder(root: Node | None) -> list[int]:
     >>> preorder(make_tree())
     [1, 2, 4, 5, 3]
     """
-    return [root.data] + preorder(root.left) + preorder(root.right) if root else []
+    return [root.data, *preorder(root.left), *preorder(root.right)] if root else []
 
 
 def postorder(root: Node | None) -> list[int]:
@@ -55,7 +55,7 @@ def inorder(root: Node | None) -> list[int]:
     >>> inorder(make_tree())
     [4, 2, 5, 1, 3]
     """
-    return inorder(root.left) + [root.data] + inorder(root.right) if root else []
+    return [*inorder(root.left), root.data, *inorder(root.right)] if root else []
 
 
 def height(root: Node | None) -> int:

data_structures/binary_tree/inorder_tree_traversal_2022.py

@@ -50,7 +50,7 @@ def inorder(node: None | BinaryTreeNode) -> list[int]:  # if node is None,return
     """
     if node:
         inorder_array = inorder(node.left_child)
-        inorder_array = inorder_array + [node.data]
+        inorder_array = [*inorder_array, node.data]
         inorder_array = inorder_array + inorder(node.right_child)
     else:
         inorder_array = []

data_structures/binary_tree/red_black_tree.py

@@ -319,8 +319,7 @@ class RedBlackTree:
         """A helper function to recursively check Property 4 of a
         Red-Black Tree. See check_color_properties for more info.
         """
-        if self.color == 1:
-            if color(self.left) == 1 or color(self.right) == 1:
+        if self.color == 1 and 1 in (color(self.left), color(self.right)):
             return False
         if self.left and not self.left.check_coloring():
             return False

data_structures/hashing/number_theory/prime_numbers.py

@@ -52,7 +52,7 @@ def next_prime(value, factor=1, **kwargs):
     first_value_val = value
 
     while not is_prime(value):
-        value += 1 if not ("desc" in kwargs.keys() and kwargs["desc"] is True) else -1
+        value += 1 if not ("desc" in kwargs and kwargs["desc"] is True) else -1
 
     if value == first_value_val:
         return next_prime(value + 1, **kwargs)

data_structures/heap/binomial_heap.py

@@ -136,12 +136,12 @@ class BinomialHeap:
 
         # Empty heaps corner cases
         if other.size == 0:
-            return
+            return None
         if self.size == 0:
             self.size = other.size
             self.bottom_root = other.bottom_root
             self.min_node = other.min_node
-            return
+            return None
         # Update size
         self.size = self.size + other.size
 

data_structures/linked_list/doubly_linked_list_two.py

@@ -128,7 +128,7 @@ class LinkedList:
         while node:
             if current_position == position:
                 self.insert_before_node(node, new_node)
-                return None
+                return
             current_position += 1
             node = node.next
         self.insert_after_node(self.tail, new_node)

data_structures/linked_list/singly_linked_list.py

@@ -107,6 +107,7 @@ class LinkedList:
         for i, node in enumerate(self):
             if i == index:
                 return node
+        return None
 
     # Used to change the data of a particular node
     def __setitem__(self, index: int, data: Any) -> None:

data_structures/linked_list/skip_list.py

@@ -388,10 +388,7 @@ def test_delete_doesnt_leave_dead_nodes():
 
 def test_iter_always_yields_sorted_values():
     def is_sorted(lst):
-        for item, next_item in zip(lst, lst[1:]):
-            if next_item < item:
-                return False
-        return True
+        return all(next_item >= item for item, next_item in zip(lst, lst[1:]))
 
     skip_list = SkipList()
     for i in range(10):

data_structures/queue/circular_queue_linked_list.py

@@ -127,7 +127,7 @@ class CircularQueueLinkedList:
         """
         self.check_can_perform_operation()
         if self.rear is None or self.front is None:
-            return
+            return None
         if self.front == self.rear:
             data = self.front.data
             self.front.data = None

digital_image_processing/morphological_operations/dilation_operation.py

@@ -32,7 +32,7 @@ def gray2binary(gray: np.array) -> np.array:
            [False,  True, False],
            [False,  True, False]])
     """
-    return (127 < gray) & (gray <= 255)
+    return (gray > 127) & (gray <= 255)
 
 
 def dilation(image: np.array, kernel: np.array) -> np.array:

digital_image_processing/morphological_operations/erosion_operation.py

@@ -32,7 +32,7 @@ def gray2binary(gray: np.array) -> np.array:
            [False,  True, False],
            [False,  True, False]])
     """
-    return (127 < gray) & (gray <= 255)
+    return (gray > 127) & (gray <= 255)
 
 
 def erosion(image: np.array, kernel: np.array) -> np.array:

dynamic_programming/all_construct.py

@@ -34,7 +34,7 @@ def all_construct(target: str, word_bank: list[str] | None = None) -> list[list[
                 # slice condition
                 if target[i : i + len(word)] == word:
                     new_combinations: list[list[str]] = [
-                        [word] + way for way in table[i]
+                        [word, *way] for way in table[i]
                     ]
                     # adds the word to every combination the current position holds
                     # now,push that combination to the table[i+len(word)]

dynamic_programming/fizz_buzz.py

@@ -49,7 +49,7 @@ def fizz_buzz(number: int, iterations: int) -> str:
             out += "Fizz"
         if number % 5 == 0:
             out += "Buzz"
-        if not number % 3 == 0 and not number % 5 == 0:
+        if 0 not in (number % 3, number % 5):
             out += str(number)
 
         # print(out)

dynamic_programming/longest_common_subsequence.py

@@ -42,20 +42,14 @@ def longest_common_subsequence(x: str, y: str):
 
     for i in range(1, m + 1):
         for j in range(1, n + 1):
-            if x[i - 1] == y[j - 1]:
-                match = 1
-            else:
-                match = 0
+            match = 1 if x[i - 1] == y[j - 1] else 0
 
             l[i][j] = max(l[i - 1][j], l[i][j - 1], l[i - 1][j - 1] + match)
 
     seq = ""
     i, j = m, n
     while i > 0 and j > 0:
-        if x[i - 1] == y[j - 1]:
-            match = 1
-        else:
-            match = 0
+        match = 1 if x[i - 1] == y[j - 1] else 0
 
         if l[i][j] == l[i - 1][j - 1] + match:
             if match == 1:

dynamic_programming/longest_increasing_subsequence.py

@@ -48,7 +48,7 @@ def longest_subsequence(array: list[int]) -> list[int]:  # This function is recu
             i += 1
 
     temp_array = [element for element in array[1:] if element >= pivot]
-    temp_array = [pivot] + longest_subsequence(temp_array)
+    temp_array = [pivot, *longest_subsequence(temp_array)]
     if len(temp_array) > len(longest_subseq):
         return temp_array
     else:

graphs/basic_graphs.py

@@ -139,8 +139,7 @@ def dijk(g, s):
                 u = i
         known.add(u)
         for v in g[u]:
-            if v[0] not in known:
-                if dist[u] + v[1] < dist.get(v[0], 100000):
+            if v[0] not in known and dist[u] + v[1] < dist.get(v[0], 100000):
                 dist[v[0]] = dist[u] + v[1]
                 path[v[0]] = u
     for i in dist:
@@ -243,8 +242,7 @@ def prim(g, s):
                 u = i
         known.add(u)
         for v in g[u]:
-            if v[0] not in known:
-                if v[1] < dist.get(v[0], 100000):
+            if v[0] not in known and v[1] < dist.get(v[0], 100000):
                 dist[v[0]] = v[1]
                 path[v[0]] = u
     return dist

graphs/check_cycle.py

@@ -15,11 +15,10 @@ def check_cycle(graph: dict) -> bool:
     visited: set[int] = set()
     # To detect a back edge, keep track of vertices currently in the recursion stack
     rec_stk: set[int] = set()
-    for node in graph:
-        if node not in visited:
-            if depth_first_search(graph, node, visited, rec_stk):
-                return True
-    return False
+    return any(
+        node not in visited and depth_first_search(graph, node, visited, rec_stk)
+        for node in graph
+    )
 
 
 def depth_first_search(graph: dict, vertex: int, visited: set, rec_stk: set) -> bool:

graphs/connected_components.py

@@ -27,7 +27,7 @@ def dfs(graph: dict, vert: int, visited: list) -> list:
         if not visited[neighbour]:
             connected_verts += dfs(graph, neighbour, visited)
 
-    return [vert] + connected_verts
+    return [vert, *connected_verts]
 
 
 def connected_components(graph: dict) -> list:

graphs/dijkstra_algorithm.py

@@ -112,7 +112,7 @@ class Graph:
         self.dist[src] = 0
         q = PriorityQueue()
         q.insert((0, src))  # (dist from src, node)
-        for u in self.adjList.keys():
+        for u in self.adjList:
             if u != src:
                 self.dist[u] = sys.maxsize  # Infinity
                 self.par[u] = -1

graphs/edmonds_karp_multiple_source_and_sink.py

@@ -163,8 +163,7 @@ class PushRelabelExecutor(MaximumFlowAlgorithmExecutor):
                 self.graph[vertex_index][to_index]
                 - self.preflow[vertex_index][to_index]
                 > 0
-            ):
-                if min_height is None or self.heights[to_index] < min_height:
+            ) and (min_height is None or self.heights[to_index] < min_height):
                 min_height = self.heights[to_index]
 
         if min_height is not None:

graphs/frequent_pattern_graph_miner.py

@@ -130,11 +130,11 @@ def create_edge(nodes, graph, cluster, c1):
     """
     create edge between the nodes
     """
-    for i in cluster[c1].keys():
+    for i in cluster[c1]:
         count = 0
         c2 = c1 + 1
         while c2 < max(cluster.keys()):
-            for j in cluster[c2].keys():
+            for j in cluster[c2]:
                 """
                 creates edge only if the condition satisfies
                 """
@@ -185,7 +185,7 @@ def find_freq_subgraph_given_support(s, cluster, graph):
     find edges of multiple frequent subgraphs
     """
     k = int(s / 100 * (len(cluster) - 1))
-    for i in cluster[k].keys():
+    for i in cluster[k]:
         my_dfs(graph, tuple(cluster[k][i]), (["Header"],))
 
 

graphs/minimum_spanning_tree_boruvka.py

@@ -144,6 +144,7 @@ class Graph:
                 self.rank[root1] += 1
                 self.parent[root2] = root1
                 return root1
+            return None
 
     @staticmethod
     def boruvka_mst(graph):

graphs/minimum_spanning_tree_prims.py

@@ -44,10 +44,7 @@ class Heap:
         temp = position[index]
 
         while index != 0:
-            if index % 2 == 0:
-                parent = int((index - 2) / 2)
-            else:
-                parent = int((index - 1) / 2)
+            parent = int((index - 2) / 2) if index % 2 == 0 else int((index - 1) / 2)
 
             if val < heap[parent]:
                 heap[index] = heap[parent]

graphs/minimum_spanning_tree_prims2.py

@@ -135,14 +135,14 @@ class MinPriorityQueue(Generic[T]):
         # only]
         curr_pos = self.position_map[elem]
         if curr_pos == 0:
-            return
+            return None
         parent_position = get_parent_position(curr_pos)
         _, weight = self.heap[curr_pos]
         _, parent_weight = self.heap[parent_position]
         if parent_weight > weight:
             self._swap_nodes(parent_position, curr_pos)
             return self._bubble_up(elem)
-        return
+        return None
 
     def _bubble_down(self, elem: T) -> None:
         # Place a node at the proper position (downward movement) [to be used
@@ -154,8 +154,7 @@ class MinPriorityQueue(Generic[T]):
         if child_left_position < self.elements and child_right_position < self.elements:
             _, child_left_weight = self.heap[child_left_position]
             _, child_right_weight = self.heap[child_right_position]
-            if child_right_weight < child_left_weight:
-                if child_right_weight < weight:
+            if child_right_weight < child_left_weight and child_right_weight < weight:
                 self._swap_nodes(child_right_position, curr_pos)
                 return self._bubble_down(elem)
         if child_left_position < self.elements:
@@ -164,14 +163,13 @@ class MinPriorityQueue(Generic[T]):
                 self._swap_nodes(child_left_position, curr_pos)
                 return self._bubble_down(elem)
         else:
-            return
+            return None
         if child_right_position < self.elements:
             _, child_right_weight = self.heap[child_right_position]
             if child_right_weight < weight:
                 self._swap_nodes(child_right_position, curr_pos)
                 return self._bubble_down(elem)
-        else:
-            return
+        return None
 
     def _swap_nodes(self, node1_pos: int, node2_pos: int) -> None:
         # Swap the nodes at the given positions

hashes/hamming_code.py

@@ -126,8 +126,7 @@ def emitter_converter(size_par, data):
                     aux = (bin_pos[cont_loop])[-1 * (bp)]
                 except IndexError:
                     aux = "0"
-                if aux == "1":
-                    if x == "1":
+                if aux == "1" and x == "1":
                     cont_bo += 1
             cont_loop += 1
         parity.append(cont_bo % 2)

linear_algebra/src/lib.py

@@ -108,7 +108,7 @@ class Vector:
         mul implements the scalar multiplication
         and the dot-product
         """
-        if isinstance(other, float) or isinstance(other, int):
+        if isinstance(other, (float, int)):
             ans = [c * other for c in self.__components]
             return Vector(ans)
         elif isinstance(other, Vector) and len(self) == len(other):
@@ -216,7 +216,7 @@ def axpy(scalar: float, x: Vector, y: Vector) -> Vector:
     assert (
         isinstance(x, Vector)
         and isinstance(y, Vector)
-        and (isinstance(scalar, int) or isinstance(scalar, float))
+        and (isinstance(scalar, (int, float)))
     )
     return x * scalar + y
 
@@ -337,12 +337,13 @@ class Matrix:
                     "vector must have the same size as the "
                     "number of columns of the matrix!"
                 )
-        elif isinstance(other, int) or isinstance(other, float):  # matrix-scalar
+        elif isinstance(other, (int, float)):  # matrix-scalar
             matrix = [
                 [self.__matrix[i][j] * other for j in range(self.__width)]
                 for i in range(self.__height)
             ]
             return Matrix(matrix, self.__width, self.__height)
+        return None
 
     def height(self) -> int:
         """

machine_learning/gradient_descent.py

@@ -55,6 +55,7 @@ def output(example_no, data_set):
         return train_data[example_no][1]
     elif data_set == "test":
         return test_data[example_no][1]
+    return None
 
 
 def calculate_hypothesis_value(example_no, data_set):
@@ -68,6 +69,7 @@ def calculate_hypothesis_value(example_no, data_set):
         return _hypothesis_value(train_data[example_no][0])
     elif data_set == "test":
         return _hypothesis_value(test_data[example_no][0])
+    return None
 
 
 def summation_of_cost_derivative(index, end=m):

machine_learning/k_means_clust.py

@@ -229,7 +229,7 @@ def report_generator(
     """
     # Fill missing values with given rules
     if fill_missing_report:
-        df.fillna(value=fill_missing_report, inplace=True)
+        df = df.fillna(value=fill_missing_report)
     df["dummy"] = 1
     numeric_cols = df.select_dtypes(np.number).columns
     report = (
@@ -338,7 +338,7 @@ def report_generator(
     )
     report.columns.name = ""
     report = report.reset_index()
-    report.drop(columns=["index"], inplace=True)
+    report = report.drop(columns=["index"])
     return report
 
 

machine_learning/sequential_minimum_optimization.py

@@ -129,7 +129,7 @@ class SmoSVM:
             #     error
             self._unbound = [i for i in self._all_samples if self._is_unbound(i)]
             for s in self.unbound:
-                if s == i1 or s == i2:
+                if s in (i1, i2):
                     continue
                 self._error[s] += (
                     y1 * (a1_new - a1) * k(i1, s)
@@ -225,7 +225,7 @@ class SmoSVM:
     def _choose_alphas(self):
         locis = yield from self._choose_a1()
         if not locis:
-            return
+            return None
         return locis
 
     def _choose_a1(self):
@@ -423,8 +423,7 @@ class Kernel:
         return np.exp(-1 * (self.gamma * np.linalg.norm(v1 - v2) ** 2))
 
     def _check(self):
-        if self._kernel == self._rbf:
-            if self.gamma < 0:
+        if self._kernel == self._rbf and self.gamma < 0:
             raise ValueError("gamma value must greater than 0")
 
     def _get_kernel(self, kernel_name):

maths/abs.py

@@ -75,9 +75,9 @@ def test_abs_val():
     """
     >>> test_abs_val()
     """
-    assert 0 == abs_val(0)
-    assert 34 == abs_val(34)
-    assert 100000000000 == abs_val(-100000000000)
+    assert abs_val(0) == 0
+    assert abs_val(34) == 34
+    assert abs_val(-100000000000) == 100000000000
 
     a = [-3, -1, 2, -11]
     assert abs_max(a) == -11

maths/binary_exp_mod.py

@@ -6,7 +6,7 @@ def bin_exp_mod(a, n, b):
     7
     """
     # mod b
-    assert not (b == 0), "This cannot accept modulo that is == 0"
+    assert b != 0, "This cannot accept modulo that is == 0"
     if n == 0:
         return 1
 

maths/jaccard_similarity.py

@@ -71,6 +71,7 @@ def jaccard_similarity(set_a, set_b, alternative_union=False):
             return len(intersection) / len(union)
 
         return len(intersection) / len(union)
+    return None
 
 
 if __name__ == "__main__":

maths/largest_of_very_large_numbers.py

@@ -12,6 +12,7 @@ def res(x, y):
             return 0
         elif y == 0:
             return 1  # any number raised to 0 is 1
+    raise AssertionError("This should never happen")
 
 
 if __name__ == "__main__":  # Main function

maths/radix2_fft.py

@@ -80,10 +80,7 @@ class FFT:
 
     # Discrete fourier transform of A and B
     def __dft(self, which):
-        if which == "A":
-            dft = [[x] for x in self.polyA]
-        else:
-            dft = [[x] for x in self.polyB]
+        dft = [[x] for x in self.polyA] if which == "A" else [[x] for x in self.polyB]
         # Corner case
         if len(dft) <= 1:
             return dft[0]

neural_network/back_propagation_neural_network.py

@@ -153,6 +153,7 @@ class BPNN:
             if mse < self.accuracy:
                 print("----达到精度----")
                 return mse
+        return None
 
     def cal_loss(self, ydata, ydata_):
         self.loss = np.sum(np.power((ydata - ydata_), 2))

other/graham_scan.py

@@ -125,8 +125,7 @@ def graham_scan(points: list[tuple[int, int]]) -> list[tuple[int, int]]:
             miny = y
             minx = x
             minidx = i
-        if y == miny:
-            if x < minx:
+        if y == miny and x < minx:
             minx = x
             minidx = i
 

other/nested_brackets.py

@@ -24,9 +24,8 @@ def is_balanced(s):
         if s[i] in open_brackets:
             stack.append(s[i])
 
-        elif s[i] in closed_brackets:
-            if len(stack) == 0 or (
-                len(stack) > 0 and open_to_closed[stack.pop()] != s[i]
+        elif s[i] in closed_brackets and (
+            len(stack) == 0 or (len(stack) > 0 and open_to_closed[stack.pop()] != s[i])
         ):
             return False
 

physics/hubble_parameter.py

@@ -70,10 +70,10 @@ def hubble_parameter(
     68.3
     """
     parameters = [redshift, radiation_density, matter_density, dark_energy]
-    if any(0 > p for p in parameters):
+    if any(p < 0 for p in parameters):
         raise ValueError("All input parameters must be positive")
 
-    if any(1 < p for p in parameters[1:4]):
+    if any(p > 1 for p in parameters[1:4]):
         raise ValueError("Relative densities cannot be greater than one")
     else:
         curvature = 1 - (matter_density + radiation_density + dark_energy)

project_euler/problem_005/sol1.py

@@ -63,6 +63,7 @@ def solution(n: int = 20) -> int:
             if i == 0:
                 i = 1
             return i
+    return None
 
 
 if __name__ == "__main__":

project_euler/problem_009/sol1.py

@@ -32,8 +32,7 @@ def solution() -> int:
     for a in range(300):
         for b in range(a + 1, 400):
             for c in range(b + 1, 500):
-                if (a + b + c) == 1000:
-                    if (a**2) + (b**2) == (c**2):
+                if (a + b + c) == 1000 and (a**2) + (b**2) == (c**2):
                     return a * b * c
 
     return -1

project_euler/problem_014/sol2.py

@@ -34,10 +34,7 @@ def collatz_sequence_length(n: int) -> int:
     """Returns the Collatz sequence length for n."""
     if n in COLLATZ_SEQUENCE_LENGTHS:
         return COLLATZ_SEQUENCE_LENGTHS[n]
-    if n % 2 == 0:
-        next_n = n // 2
-    else:
-        next_n = 3 * n + 1
+    next_n = n // 2 if n % 2 == 0 else 3 * n + 1
     sequence_length = collatz_sequence_length(next_n) + 1
     COLLATZ_SEQUENCE_LENGTHS[n] = sequence_length
     return sequence_length

project_euler/problem_018/solution.py

@@ -48,14 +48,8 @@ def solution():
 
     for i in range(1, len(a)):
         for j in range(len(a[i])):
-            if j != len(a[i - 1]):
-                number1 = a[i - 1][j]
-            else:
-                number1 = 0
-            if j > 0:
-                number2 = a[i - 1][j - 1]
-            else:
-                number2 = 0
+            number1 = a[i - 1][j] if j != len(a[i - 1]) else 0
+            number2 = a[i - 1][j - 1] if j > 0 else 0
             a[i][j] += max(number1, number2)
     return max(a[-1])
 

project_euler/problem_019/sol1.py

@@ -39,7 +39,7 @@ def solution():
     while year < 2001:
         day += 7
 
-        if (year % 4 == 0 and not year % 100 == 0) or (year % 400 == 0):
+        if (year % 4 == 0 and year % 100 != 0) or (year % 400 == 0):
             if day > days_per_month[month - 1] and month != 2:
                 month += 1
                 day = day - days_per_month[month - 2]

project_euler/problem_033/sol1.py

@@ -20,11 +20,9 @@ from fractions import Fraction
 
 
 def is_digit_cancelling(num: int, den: int) -> bool:
-    if num != den:
-        if num % 10 == den // 10:
-            if (num // 10) / (den % 10) == num / den:
-                return True
-    return False
+    return (
+        num != den and num % 10 == den // 10 and (num // 10) / (den % 10) == num / den
+    )
 
 
 def fraction_list(digit_len: int) -> list[str]:

project_euler/problem_064/sol1.py

@@ -67,8 +67,7 @@ def solution(n: int = 10000) -> int:
     count_odd_periods = 0
     for i in range(2, n + 1):
         sr = sqrt(i)
-        if sr - floor(sr) != 0:
-            if continuous_fraction_period(i) % 2 == 1:
+        if sr - floor(sr) != 0 and continuous_fraction_period(i) % 2 == 1:
             count_odd_periods += 1
     return count_odd_periods
 

project_euler/problem_067/sol1.py

@@ -37,14 +37,8 @@ def solution():
 
     for i in range(1, len(a)):
         for j in range(len(a[i])):
-            if j != len(a[i - 1]):
-                number1 = a[i - 1][j]
-            else:
-                number1 = 0
-            if j > 0:
-                number2 = a[i - 1][j - 1]
-            else:
-                number2 = 0
+            number1 = a[i - 1][j] if j != len(a[i - 1]) else 0
+            number2 = a[i - 1][j - 1] if j > 0 else 0
             a[i][j] += max(number1, number2)
     return max(a[-1])
 

project_euler/problem_109/sol1.py

@@ -65,7 +65,7 @@ def solution(limit: int = 100) -> int:
     >>> solution(50)
     12577
     """
-    singles: list[int] = list(range(1, 21)) + [25]
+    singles: list[int] = [*list(range(1, 21)), 25]
     doubles: list[int] = [2 * x for x in range(1, 21)] + [50]
     triples: list[int] = [3 * x for x in range(1, 21)]
     all_values: list[int] = singles + doubles + triples + [0]

project_euler/problem_203/sol1.py

@@ -50,8 +50,8 @@ def get_pascal_triangle_unique_coefficients(depth: int) -> set[int]:
     coefficients = {1}
     previous_coefficients = [1]
     for _ in range(2, depth + 1):
-        coefficients_begins_one = previous_coefficients + [0]
-        coefficients_ends_one = [0] + previous_coefficients
+        coefficients_begins_one = [*previous_coefficients, 0]
+        coefficients_ends_one = [0, *previous_coefficients]
         previous_coefficients = []
         for x, y in zip(coefficients_begins_one, coefficients_ends_one):
             coefficients.add(x + y)

scheduling/shortest_job_first.py

@@ -36,8 +36,7 @@ def calculate_waitingtime(
     # Process until all processes are completed
     while complete != no_of_processes:
         for j in range(no_of_processes):
-            if arrival_time[j] <= increment_time:
-                if remaining_time[j] > 0:
+            if arrival_time[j] <= increment_time and remaining_time[j] > 0:
                 if remaining_time[j] < minm:
                     minm = remaining_time[j]
                     short = j

scripts/build_directory_md.py

@@ -21,8 +21,7 @@ def md_prefix(i):
 def print_path(old_path: str, new_path: str) -> str:
     old_parts = old_path.split(os.sep)
     for i, new_part in enumerate(new_path.split(os.sep)):
-        if i + 1 > len(old_parts) or old_parts[i] != new_part:
-            if new_part:
+        if (i + 1 > len(old_parts) or old_parts[i] != new_part) and new_part:
             print(f"{md_prefix(i)} {new_part.replace('_', ' ').title()}")
     return new_path
 

searches/binary_tree_traversal.py

@@ -37,6 +37,7 @@ def build_tree():
         right_node = TreeNode(int(check))
         node_found.right = right_node
         q.put(right_node)
+    return None
 
 
 def pre_order(node: TreeNode) -> None:

sorts/circle_sort.py

@@ -58,8 +58,7 @@ def circle_sort(collection: list) -> list:
             left += 1
             right -= 1
 
-        if left == right:
-            if collection[left] > collection[right + 1]:
+        if left == right and collection[left] > collection[right + 1]:
             collection[left], collection[right + 1] = (
                 collection[right + 1],
                 collection[left],

sorts/counting_sort.py

@@ -66,7 +66,7 @@ def counting_sort_string(string):
 
 if __name__ == "__main__":
     # Test string sort
-    assert "eghhiiinrsssttt" == counting_sort_string("thisisthestring")
+    assert counting_sort_string("thisisthestring") == "eghhiiinrsssttt"
 
     user_input = input("Enter numbers separated by a comma:\n").strip()
     unsorted = [int(item) for item in user_input.split(",")]

sorts/msd_radix_sort.py

@@ -147,7 +147,7 @@ def _msd_radix_sort_inplace(
 
         list_of_ints[i], list_of_ints[j] = list_of_ints[j], list_of_ints[i]
         j -= 1
-        if not j == i:
+        if j != i:
             i += 1
 
     _msd_radix_sort_inplace(list_of_ints, bit_position, begin_index, i)

sorts/quick_sort.py

@@ -39,7 +39,7 @@ def quick_sort(collection: list) -> list:
     for element in collection[pivot_index + 1 :]:
         (greater if element > pivot else lesser).append(element)
 
-    return quick_sort(lesser) + [pivot] + quick_sort(greater)
+    return [*quick_sort(lesser), pivot, *quick_sort(greater)]
 
 
 if __name__ == "__main__":

sorts/recursive_quick_sort.py

@@ -9,11 +9,11 @@ def quick_sort(data: list) -> list:
     if len(data) <= 1:
         return data
     else:
-        return (
-            quick_sort([e for e in data[1:] if e <= data[0]])
-            + [data[0]]
-            + quick_sort([e for e in data[1:] if e > data[0]])
-        )
+        return [
+            *quick_sort([e for e in data[1:] if e <= data[0]]),
+            data[0],
+            *quick_sort([e for e in data[1:] if e > data[0]]),
+        ]
 
 
 if __name__ == "__main__":

sorts/tim_sort.py

@@ -32,9 +32,9 @@ def merge(left, right):
         return left
 
     if left[0] < right[0]:
-        return [left[0]] + merge(left[1:], right)
+        return [left[0], *merge(left[1:], right)]
 
-    return [right[0]] + merge(left, right[1:])
+    return [right[0], *merge(left, right[1:])]
 
 
 def tim_sort(lst):

strings/autocomplete_using_trie.py

@@ -27,10 +27,7 @@ class Trie:
     def _elements(self, d: dict) -> tuple:
         result = []
         for c, v in d.items():
-            if c == END:
-                sub_result = [" "]
-            else:
-                sub_result = [c + s for s in self._elements(v)]
+            sub_result = [" "] if c == END else [(c + s) for s in self._elements(v)]
             result.extend(sub_result)
         return tuple(result)
 

strings/check_anagrams.py

@@ -38,10 +38,7 @@ def check_anagrams(first_str: str, second_str: str) -> bool:
         count[first_str[i]] += 1
         count[second_str[i]] -= 1
 
-    for _count in count.values():
-        if _count != 0:
-            return False
-    return True
+    return all(_count == 0 for _count in count.values())
 
 
 if __name__ == "__main__":

strings/is_palindrome.py

@@ -30,10 +30,7 @@ def is_palindrome(s: str) -> bool:
     # with the help of 1st index (i==n-i-1)
     # where n is length of string
 
-    for i in range(end):
-        if s[i] != s[n - i - 1]:
-            return False
-    return True
+    return all(s[i] == s[n - i - 1] for i in range(end))
 
 
 if __name__ == "__main__":

strings/snake_case_to_camel_pascal_case.py

@@ -43,7 +43,7 @@ def snake_to_camel_case(input_str: str, use_pascal: bool = False) -> str:
 
     initial_word = "" if use_pascal else words[0]
 
-    return "".join([initial_word] + capitalized_words)
+    return "".join([initial_word, *capitalized_words])
 
 
 if __name__ == "__main__":

web_programming/convert_number_to_words.py

@@ -63,7 +63,7 @@ def convert(number: int) -> str:
             current = temp_num % 10
             if counter % 2 == 0:
                 addition = ""
-                if counter in placevalue.keys() and current != 0:
+                if counter in placevalue and current != 0:
                     addition = placevalue[counter]
                 if counter == 2:
                     words = singles[current] + addition + words
@@ -84,12 +84,12 @@ def convert(number: int) -> str:
                         words = teens[number % 10] + words
                     else:
                         addition = ""
-                        if counter in placevalue.keys():
+                        if counter in placevalue:
                             addition = placevalue[counter]
                         words = doubles[current] + addition + words
                 else:
                     addition = ""
-                    if counter in placevalue.keys():
+                    if counter in placevalue:
                         if current == 0 and ((temp_num % 100) // 10) == 0:
                             addition = ""
                         else:

web_programming/instagram_crawler.py

@@ -105,7 +105,7 @@ def test_instagram_user(username: str = "github") -> None:
     import os
 
     if os.environ.get("CI"):
-        return None  # test failing on GitHub Actions
+        return  # test failing on GitHub Actions
     instagram_user = InstagramUser(username)
     assert instagram_user.user_data
     assert isinstance(instagram_user.user_data, dict)

web_programming/open_google_results.py

@@ -7,10 +7,7 @@ from bs4 import BeautifulSoup
 from fake_useragent import UserAgent
 
 if __name__ == "__main__":
-    if len(argv) > 1:
-        query = "%20".join(argv[1:])
-    else:
-        query = quote(str(input("Search: ")))
+    query = "%20".join(argv[1:]) if len(argv) > 1 else quote(str(input("Search: ")))
 
     print("Googling.....")