mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-23 21:11:08 +00:00
Add Flake8 comprehensions to pre-commit (#7235)
* ci(pre-commit): Add ``flake8-comprehensions`` to ``pre-commit`` (#7233) * refactor: Fix ``flake8-comprehensions`` errors * fix: Replace `map` with generator (#7233) * fix: Cast `range` objects to `list`
This commit is contained in:
parent
98a4c24878
commit
a652905b60
|
@ -39,6 +39,7 @@ repos:
|
|||
additional_dependencies:
|
||||
- flake8-bugbear
|
||||
- flake8-builtins
|
||||
- flake8-comprehensions
|
||||
- pep8-naming
|
||||
|
||||
- repo: https://github.com/pre-commit/mirrors-mypy
|
||||
|
|
|
@ -22,7 +22,7 @@ class Onepad:
|
|||
for i in range(len(key)):
|
||||
p = int((cipher[i] - (key[i]) ** 2) / key[i])
|
||||
plain.append(chr(p))
|
||||
return "".join([i for i in plain])
|
||||
return "".join(plain)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
|
|
@ -72,7 +72,7 @@ def decrypt(input_string: str, key: int) -> str:
|
|||
counter = 0
|
||||
for row in temp_grid: # fills in the characters
|
||||
splice = input_string[counter : counter + len(row)]
|
||||
grid.append([character for character in splice])
|
||||
grid.append(list(splice))
|
||||
counter += len(row)
|
||||
|
||||
output_string = "" # reads as zigzag
|
||||
|
|
|
@ -34,7 +34,7 @@ class HashTable:
|
|||
def _step_by_step(self, step_ord):
|
||||
|
||||
print(f"step {step_ord}")
|
||||
print([i for i in range(len(self.values))])
|
||||
print(list(range(len(self.values))))
|
||||
print(self.values)
|
||||
|
||||
def bulk_insert(self, values):
|
||||
|
|
|
@ -19,7 +19,7 @@ class Node:
|
|||
class SortedLinkedList:
|
||||
def __init__(self, ints: Iterable[int]) -> None:
|
||||
self.head: Node | None = None
|
||||
for i in reversed(sorted(ints)):
|
||||
for i in sorted(ints, reverse=True):
|
||||
self.head = Node(i, self.head)
|
||||
|
||||
def __iter__(self) -> Iterator[int]:
|
||||
|
|
|
@ -8,7 +8,7 @@ def frac_knapsack(vl, wt, w, n):
|
|||
240.0
|
||||
"""
|
||||
|
||||
r = list(sorted(zip(vl, wt), key=lambda x: x[0] / x[1], reverse=True))
|
||||
r = sorted(zip(vl, wt), key=lambda x: x[0] / x[1], reverse=True)
|
||||
vl, wt = [i[0] for i in r], [i[1] for i in r]
|
||||
acc = list(accumulate(wt))
|
||||
k = bisect(acc, w)
|
||||
|
|
|
@ -58,7 +58,7 @@ if __name__ == "__main__":
|
|||
V = int(input("Enter number of vertices: ").strip())
|
||||
E = int(input("Enter number of edges: ").strip())
|
||||
|
||||
graph: list[dict[str, int]] = [dict() for j in range(E)]
|
||||
graph: list[dict[str, int]] = [{} for _ in range(E)]
|
||||
|
||||
for i in range(E):
|
||||
print("Edge ", i + 1)
|
||||
|
|
|
@ -155,12 +155,12 @@ def construct_graph(cluster, nodes):
|
|||
cluster[max(cluster.keys()) + 1] = "Header"
|
||||
graph = {}
|
||||
for i in x:
|
||||
if tuple(["Header"]) in graph:
|
||||
graph[tuple(["Header"])].append(x[i])
|
||||
if (["Header"],) in graph:
|
||||
graph[(["Header"],)].append(x[i])
|
||||
else:
|
||||
graph[tuple(["Header"])] = [x[i]]
|
||||
graph[(["Header"],)] = [x[i]]
|
||||
for i in x:
|
||||
graph[tuple(x[i])] = [["Header"]]
|
||||
graph[(x[i],)] = [["Header"]]
|
||||
i = 1
|
||||
while i < max(cluster) - 1:
|
||||
create_edge(nodes, graph, cluster, i)
|
||||
|
@ -186,7 +186,7 @@ def find_freq_subgraph_given_support(s, cluster, graph):
|
|||
"""
|
||||
k = int(s / 100 * (len(cluster) - 1))
|
||||
for i in cluster[k].keys():
|
||||
my_dfs(graph, tuple(cluster[k][i]), tuple(["Header"]))
|
||||
my_dfs(graph, tuple(cluster[k][i]), (["Header"],))
|
||||
|
||||
|
||||
def freq_subgraphs_edge_list(paths):
|
||||
|
|
|
@ -1,8 +1,8 @@
|
|||
alphabets = [chr(i) for i in range(32, 126)]
|
||||
gear_one = [i for i in range(len(alphabets))]
|
||||
gear_two = [i for i in range(len(alphabets))]
|
||||
gear_three = [i for i in range(len(alphabets))]
|
||||
reflector = [i for i in reversed(range(len(alphabets)))]
|
||||
gear_one = list(range(len(alphabets)))
|
||||
gear_two = list(range(len(alphabets)))
|
||||
gear_three = list(range(len(alphabets)))
|
||||
reflector = list(reversed(range(len(alphabets))))
|
||||
code = []
|
||||
gear_one_pos = gear_two_pos = gear_three_pos = 0
|
||||
|
||||
|
|
|
@ -89,7 +89,7 @@ def sieve_er(n):
|
|||
assert isinstance(n, int) and (n > 2), "'N' must been an int and > 2"
|
||||
|
||||
# beginList: contains all natural numbers from 2 up to N
|
||||
begin_list = [x for x in range(2, n + 1)]
|
||||
begin_list = list(range(2, n + 1))
|
||||
|
||||
ans = [] # this list will be returns.
|
||||
|
||||
|
|
|
@ -9,7 +9,7 @@ This problem has been solved through recursive way.
|
|||
|
||||
def check_matrix(matrix: list[list[int]]) -> bool:
|
||||
# must be
|
||||
matrix = list(list(row) for row in matrix)
|
||||
matrix = [list(row) for row in matrix]
|
||||
if matrix and isinstance(matrix, list):
|
||||
if isinstance(matrix[0], list):
|
||||
prev_len = 0
|
||||
|
@ -44,7 +44,7 @@ def spiral_print_clockwise(a: list[list[int]]) -> None:
|
|||
7
|
||||
"""
|
||||
if check_matrix(a) and len(a) > 0:
|
||||
a = list(list(row) for row in a)
|
||||
a = [list(row) for row in a]
|
||||
mat_row = len(a)
|
||||
if isinstance(a[0], list):
|
||||
mat_col = len(a[0])
|
||||
|
|
|
@ -317,7 +317,7 @@ def dpll_algorithm(
|
|||
if p:
|
||||
tmp_model = model
|
||||
tmp_model[p] = value
|
||||
tmp_symbols = [i for i in symbols]
|
||||
tmp_symbols = list(symbols)
|
||||
if p in tmp_symbols:
|
||||
tmp_symbols.remove(p)
|
||||
return dpll_algorithm(clauses, tmp_symbols, tmp_model)
|
||||
|
@ -329,7 +329,7 @@ def dpll_algorithm(
|
|||
if p:
|
||||
tmp_model = model
|
||||
tmp_model[p] = value
|
||||
tmp_symbols = [i for i in symbols]
|
||||
tmp_symbols = list(symbols)
|
||||
if p in tmp_symbols:
|
||||
tmp_symbols.remove(p)
|
||||
return dpll_algorithm(clauses, tmp_symbols, tmp_model)
|
||||
|
|
|
@ -33,11 +33,11 @@ def solution():
|
|||
with open(words_file_path) as f:
|
||||
words = f.readline()
|
||||
|
||||
words = list(map(lambda word: word.strip('"'), words.strip("\r\n").split(",")))
|
||||
words = [word.strip('"') for word in words.strip("\r\n").split(",")]
|
||||
words = list(
|
||||
filter(
|
||||
lambda word: word in TRIANGULAR_NUMBERS,
|
||||
map(lambda word: sum(map(lambda x: ord(x) - 64, word)), words),
|
||||
(sum(ord(x) - 64 for x in word) for word in words),
|
||||
)
|
||||
)
|
||||
return len(words)
|
||||
|
|
|
@ -21,12 +21,12 @@ def solution():
|
|||
|
||||
while True:
|
||||
if (
|
||||
sorted(list(str(i)))
|
||||
== sorted(list(str(2 * i)))
|
||||
== sorted(list(str(3 * i)))
|
||||
== sorted(list(str(4 * i)))
|
||||
== sorted(list(str(5 * i)))
|
||||
== sorted(list(str(6 * i)))
|
||||
sorted(str(i))
|
||||
== sorted(str(2 * i))
|
||||
== sorted(str(3 * i))
|
||||
== sorted(str(4 * i))
|
||||
== sorted(str(5 * i))
|
||||
== sorted(str(6 * i))
|
||||
):
|
||||
return i
|
||||
|
||||
|
|
|
@ -55,7 +55,7 @@ def get_digits(num: int) -> str:
|
|||
>>> get_digits(123)
|
||||
'0166788'
|
||||
"""
|
||||
return "".join(sorted(list(str(num**3))))
|
||||
return "".join(sorted(str(num**3)))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
|
|
@ -28,8 +28,8 @@ def solution():
|
|||
with open(triangle) as f:
|
||||
triangle = f.readlines()
|
||||
|
||||
a = map(lambda x: x.rstrip("\r\n").split(" "), triangle)
|
||||
a = list(map(lambda x: list(map(int, x)), a))
|
||||
a = (x.rstrip("\r\n").split(" ") for x in triangle)
|
||||
a = [list(map(int, x)) for x in a]
|
||||
|
||||
for i in range(1, len(a)):
|
||||
for j in range(len(a[i])):
|
||||
|
|
|
@ -65,7 +65,7 @@ def solution(limit: int = 100) -> int:
|
|||
>>> solution(50)
|
||||
12577
|
||||
"""
|
||||
singles: list[int] = [x for x in 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]
|
||||
|
|
|
@ -13,7 +13,7 @@ Find a(10^15)
|
|||
"""
|
||||
|
||||
|
||||
ks = [k for k in range(2, 20 + 1)]
|
||||
ks = range(2, 20 + 1)
|
||||
base = [10**k for k in range(ks[-1] + 1)]
|
||||
memo: dict[int, dict[int, list[list[int]]]] = {}
|
||||
|
||||
|
|
|
@ -24,7 +24,7 @@ def radix_sort(list_of_ints: list[int]) -> list[int]:
|
|||
max_digit = max(list_of_ints)
|
||||
while placement <= max_digit:
|
||||
# declare and initialize empty buckets
|
||||
buckets: list[list] = [list() for _ in range(RADIX)]
|
||||
buckets: list[list] = [[] for _ in range(RADIX)]
|
||||
# split list_of_ints between the buckets
|
||||
for i in list_of_ints:
|
||||
tmp = int((i / placement) % RADIX)
|
||||
|
|
|
@ -70,9 +70,7 @@ class Automaton:
|
|||
>>> A.search_in("whatever, err ... , wherever")
|
||||
{'what': [0], 'hat': [1], 'ver': [5, 25], 'er': [6, 10, 22, 26]}
|
||||
"""
|
||||
result: dict = (
|
||||
dict()
|
||||
) # returns a dict with keywords and list of its occurrences
|
||||
result: dict = {} # returns a dict with keywords and list of its occurrences
|
||||
current_state = 0
|
||||
for i in range(len(string)):
|
||||
while (
|
||||
|
|
Loading…
Reference in New Issue
Block a user