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:
CenTdemeern1 2022-10-15 22:25:38 -07:00 committed by GitHub
parent c94e215c8d
commit 04698538d8
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19 changed files with 40 additions and 48 deletions

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@ -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)

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@ -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]

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@ -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(

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@ -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 ()

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@ -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)]

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@ -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])

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@ -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 = []

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@ -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:
"""

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@ -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())

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@ -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))

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@ -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:

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@ -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

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@ -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)

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@ -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])):

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@ -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)

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@ -9,7 +9,7 @@ pandas
pillow
qiskit
requests
# scikit-fuzzy # Causing broken builds
scikit-fuzzy
sklearn
statsmodels
sympy

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@ -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)

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@ -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])})

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@ -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)