mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-23 21:11:08 +00:00
Misc fixes across multiple algorithms (#6912)
Source: Snyk code quality Add scikit-fuzzy to requirements Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
This commit is contained in:
parent
c94e215c8d
commit
04698538d8
|
@ -31,7 +31,7 @@ def parse_file(file_path: str) -> list[Letter]:
|
|||
c = f.read(1)
|
||||
if not c:
|
||||
break
|
||||
chars[c] = chars[c] + 1 if c in chars.keys() else 1
|
||||
chars[c] = chars[c] + 1 if c in chars else 1
|
||||
return sorted((Letter(c, f) for c, f in chars.items()), key=lambda l: l.freq)
|
||||
|
||||
|
||||
|
|
|
@ -55,7 +55,7 @@ def is_palindrome_dict(head):
|
|||
d = {}
|
||||
pos = 0
|
||||
while head:
|
||||
if head.val in d.keys():
|
||||
if head.val in d:
|
||||
d[head.val].append(pos)
|
||||
else:
|
||||
d[head.val] = [pos]
|
||||
|
|
|
@ -60,7 +60,7 @@ def local_binary_value(image: np.ndarray, x_coordinate: int, y_coordinate: int)
|
|||
)
|
||||
|
||||
|
||||
if __name__ == "main":
|
||||
if __name__ == "__main__":
|
||||
|
||||
# Reading the image and converting it to grayscale.
|
||||
image = cv2.imread(
|
||||
|
|
|
@ -8,11 +8,7 @@ Python:
|
|||
- 3.5
|
||||
"""
|
||||
import numpy as np
|
||||
|
||||
try:
|
||||
import skfuzzy as fuzz
|
||||
except ImportError:
|
||||
fuzz = None
|
||||
|
||||
if __name__ == "__main__":
|
||||
# Create universe of discourse in Python using linspace ()
|
||||
|
|
|
@ -89,13 +89,13 @@ class Graph:
|
|||
# Edge going from node u to v and v to u with weight w
|
||||
# u (w)-> v, v (w) -> u
|
||||
# Check if u already in graph
|
||||
if u in self.adjList.keys():
|
||||
if u in self.adjList:
|
||||
self.adjList[u].append((v, w))
|
||||
else:
|
||||
self.adjList[u] = [(v, w)]
|
||||
|
||||
# Assuming undirected graph
|
||||
if v in self.adjList.keys():
|
||||
if v in self.adjList:
|
||||
self.adjList[v].append((u, w))
|
||||
else:
|
||||
self.adjList[v] = [(u, w)]
|
||||
|
|
|
@ -226,9 +226,6 @@ class DirectedGraph:
|
|||
break
|
||||
else:
|
||||
return True
|
||||
# TODO:The following code is unreachable.
|
||||
anticipating_nodes.add(stack[len_stack_minus_one])
|
||||
len_stack_minus_one -= 1
|
||||
if visited.count(node[1]) < 1:
|
||||
stack.append(node[1])
|
||||
visited.append(node[1])
|
||||
|
@ -454,10 +451,6 @@ class Graph:
|
|||
break
|
||||
else:
|
||||
return True
|
||||
# TODO: the following code is unreachable
|
||||
# is this meant to be called in the else ?
|
||||
anticipating_nodes.add(stack[len_stack_minus_one])
|
||||
len_stack_minus_one -= 1
|
||||
if visited.count(node[1]) < 1:
|
||||
stack.append(node[1])
|
||||
visited.append(node[1])
|
||||
|
|
|
@ -79,8 +79,7 @@ def emitter_converter(size_par, data):
|
|||
['1', '1', '1', '1', '0', '1', '0', '0', '1', '0', '1', '1', '1', '1', '1', '1']
|
||||
"""
|
||||
if size_par + len(data) <= 2**size_par - (len(data) - 1):
|
||||
print("ERROR - size of parity don't match with size of data")
|
||||
exit(0)
|
||||
raise ValueError("size of parity don't match with size of data")
|
||||
|
||||
data_out = []
|
||||
parity = []
|
||||
|
|
|
@ -89,7 +89,7 @@ class Test(unittest.TestCase):
|
|||
"""
|
||||
test for global function zero_vector()
|
||||
"""
|
||||
self.assertTrue(str(zero_vector(10)).count("0") == 10)
|
||||
self.assertEqual(str(zero_vector(10)).count("0"), 10)
|
||||
|
||||
def test_unit_basis_vector(self) -> None:
|
||||
"""
|
||||
|
|
|
@ -75,11 +75,12 @@ def main():
|
|||
"""Call Extended Euclidean Algorithm."""
|
||||
if len(sys.argv) < 3:
|
||||
print("2 integer arguments required")
|
||||
exit(1)
|
||||
return 1
|
||||
a = int(sys.argv[1])
|
||||
b = int(sys.argv[2])
|
||||
print(extended_euclidean_algorithm(a, b))
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
raise SystemExit(main())
|
||||
|
|
|
@ -14,7 +14,7 @@ Jaccard similarity is widely used with MinHashing.
|
|||
"""
|
||||
|
||||
|
||||
def jaccard_similariy(set_a, set_b, alternative_union=False):
|
||||
def jaccard_similarity(set_a, set_b, alternative_union=False):
|
||||
"""
|
||||
Finds the jaccard similarity between two sets.
|
||||
Essentially, its intersection over union.
|
||||
|
@ -35,18 +35,18 @@ def jaccard_similariy(set_a, set_b, alternative_union=False):
|
|||
Examples:
|
||||
>>> set_a = {'a', 'b', 'c', 'd', 'e'}
|
||||
>>> set_b = {'c', 'd', 'e', 'f', 'h', 'i'}
|
||||
>>> jaccard_similariy(set_a, set_b)
|
||||
>>> jaccard_similarity(set_a, set_b)
|
||||
0.375
|
||||
|
||||
>>> jaccard_similariy(set_a, set_a)
|
||||
>>> jaccard_similarity(set_a, set_a)
|
||||
1.0
|
||||
|
||||
>>> jaccard_similariy(set_a, set_a, True)
|
||||
>>> jaccard_similarity(set_a, set_a, True)
|
||||
0.5
|
||||
|
||||
>>> set_a = ['a', 'b', 'c', 'd', 'e']
|
||||
>>> set_b = ('c', 'd', 'e', 'f', 'h', 'i')
|
||||
>>> jaccard_similariy(set_a, set_b)
|
||||
>>> jaccard_similarity(set_a, set_b)
|
||||
0.375
|
||||
"""
|
||||
|
||||
|
@ -67,14 +67,15 @@ def jaccard_similariy(set_a, set_b, alternative_union=False):
|
|||
|
||||
if alternative_union:
|
||||
union = len(set_a) + len(set_b)
|
||||
return len(intersection) / union
|
||||
else:
|
||||
union = set_a + [element for element in set_b if element not in set_a]
|
||||
return len(intersection) / len(union)
|
||||
|
||||
return len(intersection) / len(union)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
set_a = {"a", "b", "c", "d", "e"}
|
||||
set_b = {"c", "d", "e", "f", "h", "i"}
|
||||
print(jaccard_similariy(set_a, set_b))
|
||||
print(jaccard_similarity(set_a, set_b))
|
||||
|
|
|
@ -286,7 +286,7 @@ class Matrix:
|
|||
# MATRIX OPERATIONS
|
||||
def __eq__(self, other: object) -> bool:
|
||||
if not isinstance(other, Matrix):
|
||||
raise TypeError("A Matrix can only be compared with another Matrix")
|
||||
return NotImplemented
|
||||
return self.rows == other.rows
|
||||
|
||||
def __ne__(self, other: object) -> bool:
|
||||
|
|
|
@ -26,9 +26,7 @@ def solution(n: int = 1000) -> int:
|
|||
|
||||
result = 0
|
||||
for i in range(n):
|
||||
if i % 3 == 0:
|
||||
result += i
|
||||
elif i % 5 == 0:
|
||||
if i % 3 == 0 or i % 5 == 0:
|
||||
result += i
|
||||
return result
|
||||
|
||||
|
|
|
@ -34,12 +34,11 @@ def solution():
|
|||
words = f.readline()
|
||||
|
||||
words = [word.strip('"') for word in words.strip("\r\n").split(",")]
|
||||
words = list(
|
||||
filter(
|
||||
lambda word: word in TRIANGULAR_NUMBERS,
|
||||
(sum(ord(x) - 64 for x in word) for word in words),
|
||||
)
|
||||
)
|
||||
words = [
|
||||
word
|
||||
for word in [sum(ord(x) - 64 for x in word) for word in words]
|
||||
if word in TRIANGULAR_NUMBERS
|
||||
]
|
||||
return len(words)
|
||||
|
||||
|
||||
|
|
|
@ -28,8 +28,12 @@ def solution():
|
|||
with open(triangle) as f:
|
||||
triangle = f.readlines()
|
||||
|
||||
a = (x.rstrip("\r\n").split(" ") for x in triangle)
|
||||
a = [list(map(int, x)) for x in a]
|
||||
a = []
|
||||
for line in triangle:
|
||||
numbers_from_line = []
|
||||
for number in line.strip().split(" "):
|
||||
numbers_from_line.append(int(number))
|
||||
a.append(numbers_from_line)
|
||||
|
||||
for i in range(1, len(a)):
|
||||
for j in range(len(a[i])):
|
||||
|
|
|
@ -125,8 +125,9 @@ def solution(roman_numerals_filename: str = "/p089_roman.txt") -> int:
|
|||
|
||||
savings = 0
|
||||
|
||||
file1 = open(os.path.dirname(__file__) + roman_numerals_filename)
|
||||
with open(os.path.dirname(__file__) + roman_numerals_filename) as file1:
|
||||
lines = file1.readlines()
|
||||
|
||||
for line in lines:
|
||||
original = line.strip()
|
||||
num = parse_roman_numerals(original)
|
||||
|
|
|
@ -9,7 +9,7 @@ pandas
|
|||
pillow
|
||||
qiskit
|
||||
requests
|
||||
# scikit-fuzzy # Causing broken builds
|
||||
scikit-fuzzy
|
||||
sklearn
|
||||
statsmodels
|
||||
sympy
|
||||
|
|
|
@ -79,7 +79,7 @@ if __name__ == "__main__":
|
|||
# ensure that we actually have processes
|
||||
if len(processes) == 0:
|
||||
print("Zero amount of processes")
|
||||
exit()
|
||||
raise SystemExit(0)
|
||||
|
||||
# duration time of all processes
|
||||
duration_times = [19, 8, 9]
|
||||
|
@ -87,7 +87,7 @@ if __name__ == "__main__":
|
|||
# ensure we can match each id to a duration time
|
||||
if len(duration_times) != len(processes):
|
||||
print("Unable to match all id's with their duration time")
|
||||
exit()
|
||||
raise SystemExit(0)
|
||||
|
||||
# get the waiting times and the turnaround times
|
||||
waiting_times = calculate_waiting_times(duration_times)
|
||||
|
|
|
@ -276,7 +276,7 @@ if __name__ == "__main__":
|
|||
queue = deque([P1, P2, P3, P4])
|
||||
|
||||
if len(time_slices) != number_of_queues - 1:
|
||||
exit()
|
||||
raise SystemExit(0)
|
||||
|
||||
doctest.testmod(extraglobs={"queue": deque([P1, P2, P3, P4])})
|
||||
|
||||
|
|
|
@ -93,7 +93,7 @@ def emails_from_url(url: str = "https://github.com") -> list[str]:
|
|||
except ValueError:
|
||||
pass
|
||||
except ValueError:
|
||||
exit(-1)
|
||||
raise SystemExit(1)
|
||||
|
||||
# Finally return a sorted list of email addresses with no duplicates.
|
||||
return sorted(valid_emails)
|
||||
|
|
Loading…
Reference in New Issue
Block a user