Merge branch 'master' of github.com:ZeroDayOwl/Python into CasimirEffect

Author: ZeroDayOwl

.pre-commit-config.yaml

@@ -40,7 +40,10 @@ repos:
           - --ignore=E203,W503
           - --max-complexity=25
           - --max-line-length=88
-        additional_dependencies: [flake8-builtins, pep8-naming]
+        additional_dependencies:
+          - flake8-bugbear
+          - flake8-builtins
+          - pep8-naming
 
   - repo: https://github.com/pre-commit/mirrors-mypy
     rev: v0.982

README.md

@@ -34,16 +34,16 @@
   <h3>All algorithms implemented in Python - for education</h3>
 </div>
 
-Implementations are for learning purposes only. As they may be less efficient than the implementations in the Python standard library, use them at your discretion.
+Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.
 
 ## Getting Started
 
 Read through our [Contribution Guidelines](CONTRIBUTING.md) before you contribute.
 
 ## Community Channels
 
-We're on [Discord](https://discord.gg/c7MnfGFGa6) and [Gitter](https://gitter.im/TheAlgorithms)! Community channels are great for you to ask questions and get help. Please join us!
+We are on [Discord](https://discord.gg/c7MnfGFGa6) and [Gitter](https://gitter.im/TheAlgorithms)! Community channels are a great way for you to ask questions and get help. Please join us!
 
 ## List of Algorithms
 
-See our [directory](DIRECTORY.md) for easier navigation and better overview of the project.
+See our [directory](DIRECTORY.md) for easier navigation and a better overview of the project.

arithmetic_analysis/jacobi_iteration_method.py

@@ -110,7 +110,7 @@ def jacobi_iteration_method(
     strictly_diagonally_dominant(table)
 
     # Iterates the whole matrix for given number of times
-    for i in range(iterations):
+    for _ in range(iterations):
         new_val = []
         for row in range(rows):
             temp = 0

arithmetic_analysis/newton_forward_interpolation.py

@@ -23,7 +23,7 @@ def ucal(u: float, p: int) -> float:
 def main() -> None:
     n = int(input("enter the numbers of values: "))
     y: list[list[float]] = []
-    for i in range(n):
+    for _ in range(n):
         y.append([])
     for i in range(n):
         for j in range(n):

arithmetic_analysis/secant_method.py

@@ -20,7 +20,7 @@ def secant_method(lower_bound: float, upper_bound: float, repeats: int) -> float
     """
     x0 = lower_bound
     x1 = upper_bound
-    for i in range(0, repeats):
+    for _ in range(0, repeats):
         x0, x1 = x1, x1 - (f(x1) * (x1 - x0)) / (f(x1) - f(x0))
     return x1
 

audio_filters/butterworth_filter.py

@@ -11,7 +11,7 @@
 
 
 def make_lowpass(
-    frequency: int, samplerate: int, q_factor: float = 1 / sqrt(2)
+    frequency: int, samplerate: int, q_factor: float = 1 / sqrt(2)  # noqa: B008
 ) -> IIRFilter:
     """
     Creates a low-pass filter
@@ -39,7 +39,7 @@ def make_lowpass(
 
 
 def make_highpass(
-    frequency: int, samplerate: int, q_factor: float = 1 / sqrt(2)
+    frequency: int, samplerate: int, q_factor: float = 1 / sqrt(2)  # noqa: B008
 ) -> IIRFilter:
     """
     Creates a high-pass filter
@@ -67,7 +67,7 @@ def make_highpass(
 
 
 def make_bandpass(
-    frequency: int, samplerate: int, q_factor: float = 1 / sqrt(2)
+    frequency: int, samplerate: int, q_factor: float = 1 / sqrt(2)  # noqa: B008
 ) -> IIRFilter:
     """
     Creates a band-pass filter
@@ -96,7 +96,7 @@ def make_bandpass(
 
 
 def make_allpass(
-    frequency: int, samplerate: int, q_factor: float = 1 / sqrt(2)
+    frequency: int, samplerate: int, q_factor: float = 1 / sqrt(2)  # noqa: B008
 ) -> IIRFilter:
     """
     Creates an all-pass filter
@@ -121,7 +121,10 @@ def make_allpass(
 
 
 def make_peak(
-    frequency: int, samplerate: int, gain_db: float, q_factor: float = 1 / sqrt(2)
+    frequency: int,
+    samplerate: int,
+    gain_db: float,
+    q_factor: float = 1 / sqrt(2),  # noqa: B008
 ) -> IIRFilter:
     """
     Creates a peak filter
@@ -150,7 +153,10 @@ def make_peak(
 
 
 def make_lowshelf(
-    frequency: int, samplerate: int, gain_db: float, q_factor: float = 1 / sqrt(2)
+    frequency: int,
+    samplerate: int,
+    gain_db: float,
+    q_factor: float = 1 / sqrt(2),  # noqa: B008
 ) -> IIRFilter:
     """
     Creates a low-shelf filter
@@ -184,7 +190,10 @@ def make_lowshelf(
 
 
 def make_highshelf(
-    frequency: int, samplerate: int, gain_db: float, q_factor: float = 1 / sqrt(2)
+    frequency: int,
+    samplerate: int,
+    gain_db: float,
+    q_factor: float = 1 / sqrt(2),  # noqa: B008
 ) -> IIRFilter:
     """
     Creates a high-shelf filter

backtracking/sum_of_subsets.py

@@ -39,14 +39,14 @@ def create_state_space_tree(
     if sum(path) == max_sum:
         result.append(path)
         return
-    for num_index in range(num_index, len(nums)):
+    for index in range(num_index, len(nums)):
         create_state_space_tree(
             nums,
             max_sum,
-            num_index + 1,
-            path + [nums[num_index]],
+            index + 1,
+            path + [nums[index]],
             result,
-            remaining_nums_sum - nums[num_index],
+            remaining_nums_sum - nums[index],
         )
 
 

boolean_algebra/norgate.py

@@ -0,0 +1,46 @@
+""" A NOR Gate is a logic gate in boolean algebra which results to false(0)
+    if any of the input is 1, and True(1) if  both the inputs are 0.
+   Following is the truth table of an NOR Gate:
+   | Input 1 | Input 2 |  Output |
+   |      0      |     0      |      1      |
+   |      0      |     1      |      0      |
+   |      1      |     0      |      0      |
+   |      1      |     1      |      0      |
+"""
+"""Following is the code implementation of the NOR Gate"""
+
+
+def nor_gate(input_1: int, input_2: int) -> int:
+    """
+    >>> nor_gate(0, 0)
+    1
+    >>> nor_gate(0, 1)
+    0
+    >>> nor_gate(1, 0)
+    0
+    >>> nor_gate(1, 1)
+    0
+    >>> nor_gate(0.0, 0.0)
+    1
+    >>> nor_gate(0, -7)
+    0
+    """
+    return int(bool(input_1 == input_2 == 0))
+
+
+def main() -> None:
+    print("Truth Table of NOR Gate:")
+    print("| Input 1 |", " Input 2 |", " Output |")
+    print("|      0      |", "     0      |     ", nor_gate(0, 0), "     |")
+    print("|      0      |", "     1      |     ", nor_gate(0, 1), "     |")
+    print("|      1      |", "     0      |     ", nor_gate(1, 0), "     |")
+    print("|      1      |", "     1      |     ", nor_gate(1, 1), "     |")
+
+
+if __name__ == "__main__":
+    import doctest
+
+    doctest.testmod()
+    main()
+"""Code provided by Akshaj Vishwanathan"""
+"""Reference: https://www.geeksforgeeks.org/logic-gates-in-python/"""

boolean_algebra/quine_mc_cluskey.py

@@ -56,7 +56,7 @@ def decimal_to_binary(no_of_variable: int, minterms: Sequence[float]) -> list[st
     temp = []
     for minterm in minterms:
         string = ""
-        for i in range(no_of_variable):
+        for _ in range(no_of_variable):
             string = str(minterm % 2) + string
             minterm //= 2
         temp.append(string)

ciphers/mixed_keyword_cypher.py

@@ -40,7 +40,7 @@ def mixed_keyword(key: str = "college", pt: str = "UNIVERSITY") -> str:
     k = 0
     for _ in range(r):
         s = []
-        for j in range(len_temp):
+        for _ in range(len_temp):
             s.append(temp[k])
             if not (k < 25):
                 break