refactor: Indent ... for visual purposes (TheAlgorithms#7744)

Author: CaedenPH

arithmetic_analysis/bisection.py

@@ -8,15 +8,15 @@ def bisection(function: Callable[[float], float], a: float, b: float) -> float:
     1.0000000149011612
     >>> bisection(lambda x: x ** 3 - 1, 2, 1000)
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: could not find root in given interval.
     >>> bisection(lambda x: x ** 2 - 4 * x + 3, 0, 2)
     1.0
     >>> bisection(lambda x: x ** 2 - 4 * x + 3, 2, 4)
     3.0
     >>> bisection(lambda x: x ** 2 - 4 * x + 3, 4, 1000)
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: could not find root in given interval.
     """
     start: float = a

arithmetic_analysis/intersection.py

@@ -10,7 +10,7 @@ def intersection(function: Callable[[float], float], x0: float, x1: float) -> fl
     0.9999999999954654
     >>> intersection(lambda x: x ** 3 - 1, 5, 5)
     Traceback (most recent call last):
-    ...
+        ...
     ZeroDivisionError: float division by zero, could not find root
     >>> intersection(lambda x: x ** 3 - 1, 100, 200)
     1.0000000000003888
@@ -24,7 +24,7 @@ def intersection(function: Callable[[float], float], x0: float, x1: float) -> fl
     0.0
     >>> intersection(math.cos, -math.pi, math.pi)
     Traceback (most recent call last):
-    ...
+        ...
     ZeroDivisionError: float division by zero, could not find root
     """
     x_n: float = x0

arithmetic_analysis/jacobi_iteration_method.py

@@ -42,7 +42,7 @@ def jacobi_iteration_method(
     >>> iterations = 3
     >>> jacobi_iteration_method(coefficient, constant, init_val, iterations)
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Coefficient matrix dimensions must be nxn but received 2x3
 
     >>> coefficient = np.array([[4, 1, 1], [1, 5, 2], [1, 2, 4]])
@@ -51,7 +51,7 @@ def jacobi_iteration_method(
     >>> iterations = 3
     >>> jacobi_iteration_method(coefficient, constant, init_val, iterations)
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Coefficient and constant matrices dimensions must be nxn and nx1 but
                 received 3x3 and 2x1
 
@@ -61,7 +61,7 @@ def jacobi_iteration_method(
     >>> iterations = 3
     >>> jacobi_iteration_method(coefficient, constant, init_val, iterations)
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Number of initial values must be equal to number of rows in coefficient
                 matrix but received 2 and 3
 
@@ -71,7 +71,7 @@ def jacobi_iteration_method(
     >>> iterations = 0
     >>> jacobi_iteration_method(coefficient, constant, init_val, iterations)
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Iterations must be at least 1
     """
 
@@ -138,7 +138,7 @@ def strictly_diagonally_dominant(table: NDArray[float64]) -> bool:
     >>> table = np.array([[4, 1, 1, 2], [1, 5, 2, -6], [1, 2, 3, -4]])
     >>> strictly_diagonally_dominant(table)
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Coefficient matrix is not strictly diagonally dominant
     """
 

arithmetic_analysis/lu_decomposition.py

@@ -31,7 +31,7 @@ def lower_upper_decomposition(
     >>> matrix = np.array([[2, -2, 1], [0, 1, 2]])
     >>> lower_upper_decomposition(matrix)
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: 'table' has to be of square shaped array but got a 2x3 array:
     [[ 2 -2  1]
      [ 0  1  2]]

arithmetic_analysis/newton_method.py

@@ -28,7 +28,7 @@ def newton(
     1.5707963267948966
     >>> newton(math.cos, lambda x: -math.sin(x), 0)
     Traceback (most recent call last):
-    ...
+        ...
     ZeroDivisionError: Could not find root
     """
     prev_guess = float(starting_int)

arithmetic_analysis/newton_raphson_new.py

@@ -32,7 +32,7 @@ def newton_raphson(
     1.2186556186174883e-10
     >>> newton_raphson('cos(x)', 0)
     Traceback (most recent call last):
-    ...
+        ...
     ZeroDivisionError: Could not find root
     """
 

backtracking/knight_tour.py

@@ -78,7 +78,7 @@ def open_knight_tour(n: int) -> list[list[int]]:
 
     >>> open_knight_tour(2)
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Open Kight Tour cannot be performed on a board of size 2
     """
 

conversions/binary_to_decimal.py

@@ -12,15 +12,15 @@ def bin_to_decimal(bin_string: str) -> int:
     0
     >>> bin_to_decimal("a")
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Non-binary value was passed to the function
     >>> bin_to_decimal("")
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Empty string was passed to the function
     >>> bin_to_decimal("39")
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Non-binary value was passed to the function
     """
     bin_string = str(bin_string).strip()

conversions/binary_to_hexadecimal.py

@@ -30,11 +30,11 @@ def bin_to_hexadecimal(binary_str: str) -> str:
     '-0x1d'
     >>> bin_to_hexadecimal('a')
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Non-binary value was passed to the function
     >>> bin_to_hexadecimal('')
     Traceback (most recent call last):
-    ...
+        ...
     ValueError: Empty string was passed to the function
     """
     # Sanitising parameter

conversions/binary_to_octal.py

@@ -9,11 +9,11 @@
 
 >>> bin_to_octal("")
 Traceback (most recent call last):
-...
+    ...
 ValueError: Empty string was passed to the function
 >>> bin_to_octal("a-1")
 Traceback (most recent call last):
-...
+    ...
 ValueError: Non-binary value was passed to the function
 """