fix: Correct ruff problems

Author: CaedenPH

Diff for: conversions/prefix_conversions_string.py

@@ -96,7 +96,7 @@ def add_si_prefix(value: float) -> str:
     for name_prefix, value_prefix in prefixes.items():
         numerical_part = value / (10**value_prefix)
         if numerical_part > 1:
-            return f"{str(numerical_part)} {name_prefix}"
+            return f"{numerical_part!s} {name_prefix}"
     return str(value)
 
 
@@ -111,7 +111,7 @@ def add_binary_prefix(value: float) -> str:
     for prefix in BinaryUnit:
         numerical_part = value / (2**prefix.value)
         if numerical_part > 1:
-            return f"{str(numerical_part)} {prefix.name}"
+            return f"{numerical_part!s} {prefix.name}"
     return str(value)
 
 

Diff for: conversions/rgb_hsv_conversion.py

@@ -121,8 +121,8 @@ def rgb_to_hsv(red: int, green: int, blue: int) -> list[float]:
     float_red = red / 255
     float_green = green / 255
     float_blue = blue / 255
-    value = max(max(float_red, float_green), float_blue)
-    chroma = value - min(min(float_red, float_green), float_blue)
+    value = max(float_red, float_green, float_blue)
+    chroma = value - min(float_red, float_green, float_blue)
     saturation = 0 if value == 0 else chroma / value
 
     if chroma == 0:

Diff for: divide_and_conquer/strassen_matrix_multiplication.py

@@ -122,7 +122,7 @@ def strassen(matrix1: list, matrix2: list) -> list:
     if dimension1[0] == dimension1[1] and dimension2[0] == dimension2[1]:
         return [matrix1, matrix2]
 
-    maximum = max(max(dimension1), max(dimension2))
+    maximum = max(dimension1, dimension2)
     maxim = int(math.pow(2, math.ceil(math.log2(maximum))))
     new_matrix1 = matrix1
     new_matrix2 = matrix2

Diff for: maths/euclidean_distance.py

@@ -1,12 +1,11 @@
 from __future__ import annotations
 
 from collections.abc import Iterable
-from typing import Union
 
 import numpy as np
 
-Vector = Union[Iterable[float], Iterable[int], np.ndarray]
-VectorOut = Union[np.float64, int, float]
+Vector = Iterable[float] | Iterable[int], np.ndarray
+VectorOut = np.float64 | int, float
 
 
 def euclidean_distance(vector_1: Vector, vector_2: Vector) -> VectorOut:

Diff for: physics/horizontal_projectile_motion.py

@@ -147,6 +147,6 @@ def test_motion() -> None:
     # Print results
     print()
     print("Results: ")
-    print(f"Horizontal Distance: {str(horizontal_distance(init_vel, angle))} [m]")
-    print(f"Maximum Height: {str(max_height(init_vel, angle))} [m]")
-    print(f"Total Time: {str(total_time(init_vel, angle))} [s]")
+    print(f"Horizontal Distance: {horizontal_distance(init_vel, angle)!s} [m]")
+    print(f"Maximum Height: {max_height(init_vel, angle)!s} [m]")
+    print(f"Total Time: {total_time(init_vel, angle)!s} [s]")