Refactorings (#8987)

* use np.dot

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* further improvements using array slicing

Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>

arithmetic_analysis/gaussian_elimination.py

@@ -33,10 +33,7 @@ def retroactive_resolution(
 
     x: NDArray[float64] = np.zeros((rows, 1), dtype=float)
     for row in reversed(range(rows)):
-        total = 0
-        for col in range(row + 1, columns):
-            total += coefficients[row, col] * x[col]
-
+        total = np.dot(coefficients[row, row + 1 :], x[row + 1 :])
         x[row, 0] = (vector[row] - total) / coefficients[row, row]
 
     return x

maths/arc_length.py

@@ -7,6 +7,8 @@ def arc_length(angle: int, radius: int) -> float:
     3.9269908169872414
     >>> arc_length(120, 15)
     31.415926535897928
+    >>> arc_length(90, 10)
+    15.707963267948966
     """
     return 2 * pi * radius * (angle / 360)