The black formatter is no longer beta (TheAlgorithms#5960)

* The black formatter is no longer beta

* pre-commit autoupdate

* pre-commit autoupdate

* Remove project_euler/problem_145 which is killing our CI tests

* updating DIRECTORY.md

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v3.4.0
+    rev: v4.1.0
     hooks:
       - id: check-executables-have-shebangs
       - id: check-yaml
@@ -14,26 +14,26 @@ repos:
       - id: requirements-txt-fixer
 
   - repo: https://github.com/psf/black
-    rev: 21.4b0
+    rev: 22.1.0
     hooks:
       - id: black
 
   - repo: https://github.com/PyCQA/isort
-    rev: 5.8.0
+    rev: 5.10.1
     hooks:
       - id: isort
         args:
           - --profile=black
 
   - repo: https://github.com/asottile/pyupgrade
-    rev: v2.29.0
+    rev: v2.31.0
     hooks:
       - id: pyupgrade
         args:
           - --py39-plus
 
   - repo: https://gitlab.com/pycqa/flake8
-    rev: 3.9.1
+    rev: 3.9.2
     hooks:
       - id: flake8
         args:
@@ -42,7 +42,7 @@ repos:
           - --max-line-length=88
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v0.910
+    rev: v0.931
     hooks:
       - id: mypy
         args:
@@ -51,11 +51,11 @@ repos:
           - --non-interactive
 
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.0.0
+    rev: v2.1.0
     hooks:
       - id: codespell
         args:
-          - --ignore-words-list=ans,crate,fo,followings,hist,iff,mater,secant,som,tim
+          - --ignore-words-list=ans,crate,fo,followings,hist,iff,mater,secant,som,sur,tim
           - --skip="./.*,./strings/dictionary.txt,./strings/words.txt,./project_euler/problem_022/p022_names.txt"
         exclude: |
           (?x)^(

DIRECTORY.md

@@ -856,8 +856,6 @@
     * [Sol1](https://github.com/TheAlgorithms/Python/blob/master/project_euler/problem_135/sol1.py)
   * Problem 144
     * [Sol1](https://github.com/TheAlgorithms/Python/blob/master/project_euler/problem_144/sol1.py)
-  * Problem 145
-    * [Sol1](https://github.com/TheAlgorithms/Python/blob/master/project_euler/problem_145/sol1.py)
   * Problem 173
     * [Sol1](https://github.com/TheAlgorithms/Python/blob/master/project_euler/problem_173/sol1.py)
   * Problem 174

arithmetic_analysis/bisection.py

@@ -32,7 +32,7 @@ def bisection(function: Callable[[float], float], a: float, b: float) -> float:
         raise ValueError("could not find root in given interval.")
     else:
         mid: float = start + (end - start) / 2.0
-        while abs(start - mid) > 10 ** -7:  # until precisely equals to 10^-7
+        while abs(start - mid) > 10**-7:  # until precisely equals to 10^-7
             if function(mid) == 0:
                 return mid
             elif function(mid) * function(start) < 0:
@@ -44,7 +44,7 @@ def bisection(function: Callable[[float], float], a: float, b: float) -> float:
 
 
 def f(x: float) -> float:
-    return x ** 3 - 2 * x - 5
+    return x**3 - 2 * x - 5
 
 
 if __name__ == "__main__":

arithmetic_analysis/in_static_equilibrium.py

@@ -23,7 +23,7 @@ def polar_force(
 
 
 def in_static_equilibrium(
-    forces: ndarray, location: ndarray, eps: float = 10 ** -1
+    forces: ndarray, location: ndarray, eps: float = 10**-1
 ) -> bool:
     """
     Check if a system is in equilibrium.

arithmetic_analysis/intersection.py

@@ -35,7 +35,7 @@ def intersection(function: Callable[[float], float], x0: float, x1: float) -> fl
         x_n2: float = x_n1 - (
             function(x_n1) / ((function(x_n1) - function(x_n)) / (x_n1 - x_n))
         )
-        if abs(x_n2 - x_n1) < 10 ** -5:
+        if abs(x_n2 - x_n1) < 10**-5:
             return x_n2
         x_n = x_n1
         x_n1 = x_n2

arithmetic_analysis/newton_method.py

@@ -37,17 +37,17 @@ def newton(
             next_guess = prev_guess - function(prev_guess) / derivative(prev_guess)
         except ZeroDivisionError:
             raise ZeroDivisionError("Could not find root") from None
-        if abs(prev_guess - next_guess) < 10 ** -5:
+        if abs(prev_guess - next_guess) < 10**-5:
             return next_guess
         prev_guess = next_guess
 
 
 def f(x: float) -> float:
-    return (x ** 3) - (2 * x) - 5
+    return (x**3) - (2 * x) - 5
 
 
 def f1(x: float) -> float:
-    return 3 * (x ** 2) - 2
+    return 3 * (x**2) - 2
 
 
 if __name__ == "__main__":

arithmetic_analysis/newton_raphson.py

@@ -11,7 +11,7 @@
 
 
 def newton_raphson(
-    func: str, a: float | Decimal, precision: float = 10 ** -10
+    func: str, a: float | Decimal, precision: float = 10**-10
 ) -> float:
     """Finds root from the point 'a' onwards by Newton-Raphson method
     >>> newton_raphson("sin(x)", 2)

ciphers/deterministic_miller_rabin.py

@@ -73,7 +73,7 @@ def miller_rabin(n: int, allow_probable: bool = False) -> bool:
     for prime in plist:
         pr = False
         for r in range(s):
-            m = pow(prime, d * 2 ** r, n)
+            m = pow(prime, d * 2**r, n)
             # see article for analysis explanation for m
             if (r == 0 and m == 1) or ((m + 1) % n == 0):
                 pr = True

ciphers/rabin_miller.py

@@ -21,7 +21,7 @@ def rabinMiller(num: int) -> bool:
                     return False
                 else:
                     i = i + 1
-                    v = (v ** 2) % num
+                    v = (v**2) % num
     return True
 
 

ciphers/rsa_cipher.py

@@ -29,8 +29,8 @@ def get_text_from_blocks(
         block_message: list[str] = []
         for i in range(block_size - 1, -1, -1):
             if len(message) + i < message_length:
-                ascii_number = block_int // (BYTE_SIZE ** i)
-                block_int = block_int % (BYTE_SIZE ** i)
+                ascii_number = block_int // (BYTE_SIZE**i)
+                block_int = block_int % (BYTE_SIZE**i)
                 block_message.insert(0, chr(ascii_number))
         message.extend(block_message)
     return "".join(message)

ciphers/rsa_factorization.py

@@ -40,7 +40,7 @@ def rsafactor(d: int, e: int, N: int) -> list[int]:
         while True:
             if t % 2 == 0:
                 t = t // 2
-                x = (g ** t) % N
+                x = (g**t) % N
                 y = math.gcd(x - 1, N)
                 if x > 1 and y > 1:
                     p = y

computer_vision/harris_corner.py

@@ -39,8 +39,8 @@ def detect(self, img_path: str) -> tuple[cv2.Mat, list[list[int]]]:
         color_img = img.copy()
         color_img = cv2.cvtColor(color_img, cv2.COLOR_GRAY2RGB)
         dy, dx = np.gradient(img)
-        ixx = dx ** 2
-        iyy = dy ** 2
+        ixx = dx**2
+        iyy = dy**2
         ixy = dx * dy
         k = 0.04
         offset = self.window_size // 2
@@ -56,9 +56,9 @@ def detect(self, img_path: str) -> tuple[cv2.Mat, list[list[int]]]:
                     y - offset : y + offset + 1, x - offset : x + offset + 1
                 ].sum()
 
-                det = (wxx * wyy) - (wxy ** 2)
+                det = (wxx * wyy) - (wxy**2)
                 trace = wxx + wyy
-                r = det - k * (trace ** 2)
+                r = det - k * (trace**2)
                 # Can change the value
                 if r > 0.5:
                     corner_list.append([x, y, r])

digital_image_processing/filters/gabor_filter.py

@@ -49,7 +49,7 @@ def gabor_filter_kernel(
 
             # fill kernel
             gabor[y, x] = np.exp(
-                -(_x ** 2 + gamma ** 2 * _y ** 2) / (2 * sigma ** 2)
+                -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)
             ) * np.cos(2 * np.pi * _x / lambd + psi)
 
     return gabor

digital_image_processing/index_calculation.py

@@ -203,7 +203,7 @@ def CVI(self):
         https://www.indexdatabase.de/db/i-single.php?id=391
         :return: index
         """
-        return self.nir * (self.red / (self.green ** 2))
+        return self.nir * (self.red / (self.green**2))
 
     def GLI(self):
         """
@@ -295,7 +295,7 @@ def ATSAVI(self, X=0.08, a=1.22, b=0.03):
         """
         return a * (
             (self.nir - a * self.red - b)
-            / (a * self.nir + self.red - a * b + X * (1 + a ** 2))
+            / (a * self.nir + self.red - a * b + X * (1 + a**2))
         )
 
     def BWDRVI(self):
@@ -363,7 +363,7 @@ def GEMI(self):
         https://www.indexdatabase.de/db/i-single.php?id=25
         :return: index
         """
-        n = (2 * (self.nir ** 2 - self.red ** 2) + 1.5 * self.nir + 0.5 * self.red) / (
+        n = (2 * (self.nir**2 - self.red**2) + 1.5 * self.nir + 0.5 * self.red) / (
             self.nir + self.red + 0.5
         )
         return n * (1 - 0.25 * n) - (self.red - 0.125) / (1 - self.red)

electronics/carrier_concentration.py

@@ -53,12 +53,12 @@ def carrier_concentration(
     elif electron_conc == 0:
         return (
             "electron_conc",
-            intrinsic_conc ** 2 / hole_conc,
+            intrinsic_conc**2 / hole_conc,
         )
     elif hole_conc == 0:
         return (
             "hole_conc",
-            intrinsic_conc ** 2 / electron_conc,
+            intrinsic_conc**2 / electron_conc,
         )
     elif intrinsic_conc == 0:
         return (

electronics/coulombs_law.py

@@ -66,13 +66,13 @@ def couloumbs_law(
     if distance < 0:
         raise ValueError("Distance cannot be negative")
     if force == 0:
-        force = COULOMBS_CONSTANT * charge_product / (distance ** 2)
+        force = COULOMBS_CONSTANT * charge_product / (distance**2)
         return {"force": force}
     elif charge1 == 0:
-        charge1 = abs(force) * (distance ** 2) / (COULOMBS_CONSTANT * charge2)
+        charge1 = abs(force) * (distance**2) / (COULOMBS_CONSTANT * charge2)
         return {"charge1": charge1}
     elif charge2 == 0:
-        charge2 = abs(force) * (distance ** 2) / (COULOMBS_CONSTANT * charge1)
+        charge2 = abs(force) * (distance**2) / (COULOMBS_CONSTANT * charge1)
         return {"charge2": charge2}
     elif distance == 0:
         distance = (COULOMBS_CONSTANT * charge_product / abs(force)) ** 0.5

graphics/bezier_curve.py

@@ -40,7 +40,7 @@ def basis_function(self, t: float) -> list[float]:
         for i in range(len(self.list_of_points)):
             # basis function for each i
             output_values.append(
-                comb(self.degree, i) * ((1 - t) ** (self.degree - i)) * (t ** i)
+                comb(self.degree, i) * ((1 - t) ** (self.degree - i)) * (t**i)
             )
         # the basis must sum up to 1 for it to produce a valid Bezier curve.
         assert round(sum(output_values), 5) == 1

graphs/bidirectional_a_star.py

@@ -68,7 +68,7 @@ def calculate_heuristic(self) -> float:
         if HEURISTIC == 1:
             return abs(dx) + abs(dy)
         else:
-            return sqrt(dy ** 2 + dx ** 2)
+            return sqrt(dy**2 + dx**2)
 
     def __lt__(self, other: Node) -> bool:
         return self.f_cost < other.f_cost

hashes/chaos_machine.py

@@ -63,8 +63,8 @@ def xorshift(X, Y):
         params_space[key] = (machine_time * 0.01 + r * 1.01) % 1 + 3
 
     # Choosing Chaotic Data
-    X = int(buffer_space[(key + 2) % m] * (10 ** 10))
-    Y = int(buffer_space[(key - 2) % m] * (10 ** 10))
+    X = int(buffer_space[(key + 2) % m] * (10**10))
+    Y = int(buffer_space[(key - 2) % m] * (10**10))
 
     # Machine Time
     machine_time += 1

hashes/hamming_code.py

@@ -78,7 +78,7 @@ def emitterConverter(sizePar, data):
     >>> emitterConverter(4, "101010111111")
     ['1', '1', '1', '1', '0', '1', '0', '0', '1', '0', '1', '1', '1', '1', '1', '1']
     """
-    if sizePar + len(data) <= 2 ** sizePar - (len(data) - 1):
+    if sizePar + len(data) <= 2**sizePar - (len(data) - 1):
         print("ERROR - size of parity don't match with size of data")
         exit(0)
 

hashes/md5.py

@@ -94,7 +94,7 @@ def not32(i):
 
 
 def sum32(a, b):
-    return (a + b) % 2 ** 32
+    return (a + b) % 2**32
 
 
 def leftrot32(i, s):
@@ -114,7 +114,7 @@ def md5me(testString):
         bs += format(ord(i), "08b")
     bs = pad(bs)
 
-    tvals = [int(2 ** 32 * abs(math.sin(i + 1))) for i in range(64)]
+    tvals = [int(2**32 * abs(math.sin(i + 1))) for i in range(64)]
 
     a0 = 0x67452301
     b0 = 0xEFCDAB89
@@ -211,7 +211,7 @@ def md5me(testString):
             dtemp = D
             D = C
             C = B
-            B = sum32(B, leftrot32((A + f + tvals[i] + m[g]) % 2 ** 32, s[i]))
+            B = sum32(B, leftrot32((A + f + tvals[i] + m[g]) % 2**32, s[i]))
             A = dtemp
         a0 = sum32(a0, A)
         b0 = sum32(b0, B)

linear_algebra/src/lib.py

@@ -172,7 +172,7 @@ def euclidean_length(self) -> float:
         """
         if len(self.__components) == 0:
             raise Exception("Vector is empty")
-        squares = [c ** 2 for c in self.__components]
+        squares = [c**2 for c in self.__components]
         return math.sqrt(sum(squares))
 
     def angle(self, other: Vector, deg: bool = False) -> float:

machine_learning/k_means_clust.py

@@ -112,7 +112,7 @@ def compute_heterogeneity(data, k, centroids, cluster_assignment):
             distances = pairwise_distances(
                 member_data_points, [centroids[i]], metric="euclidean"
             )
-            squared_distances = distances ** 2
+            squared_distances = distances**2
             heterogeneity += np.sum(squared_distances)
 
     return heterogeneity

machine_learning/local_weighted_learning/local_weighted_learning.py

@@ -25,7 +25,7 @@ def weighted_matrix(point: np.mat, training_data_x: np.mat, bandwidth: float) ->
     # calculating weights for all training examples [x(i)'s]
     for j in range(m):
         diff = point - training_data_x[j]
-        weights[j, j] = np.exp(diff * diff.T / (-2.0 * bandwidth ** 2))
+        weights[j, j] = np.exp(diff * diff.T / (-2.0 * bandwidth**2))
     return weights
 
 

machine_learning/sequential_minimum_optimization.py

@@ -345,15 +345,15 @@ def _get_new_alpha(self, i1, i2, a1, a2, e1, e2, y1, y2):
             ol = (
                 l1 * f1
                 + L * f2
-                + 1 / 2 * l1 ** 2 * K(i1, i1)
-                + 1 / 2 * L ** 2 * K(i2, i2)
+                + 1 / 2 * l1**2 * K(i1, i1)
+                + 1 / 2 * L**2 * K(i2, i2)
                 + s * L * l1 * K(i1, i2)
             )
             oh = (
                 h1 * f1
                 + H * f2
-                + 1 / 2 * h1 ** 2 * K(i1, i1)
-                + 1 / 2 * H ** 2 * K(i2, i2)
+                + 1 / 2 * h1**2 * K(i1, i1)
+                + 1 / 2 * H**2 * K(i2, i2)
                 + s * H * h1 * K(i1, i2)
             )
             """