refactor: move merge sorted array

README.md

@@ -1,12 +1,6 @@
 ## Python Snippets
 
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 Repository for some of my simple [Python](https://www.python.org/ "Python") functions and snippets. Each directory
 and/or python package has a readme for more information about the Python program

datastructures/arrays/merge_sorted_arrays/README.md → algorithms/two_pointers/merge_sorted_arrays/README.md

@@ -1,27 +1,44 @@
 # Merge Sorted Array
 
-You are given two integer arrays nums1 and nums2, sorted in non-decreasing order, and two integers m and n, representing the number of elements in nums1 and nums2 respectively.
+You are given two integer arrays nums1 and nums2, sorted in non-decreasing order, and two integers m and n, representing
+the number of elements in nums1 and nums2 respectively.
 
 Merge nums1 and nums2 into a single array sorted in non-decreasing order.
 
-The final sorted array should not be returned by the function, but instead be stored inside the array nums1. To accommodate this, nums1 has a length of m + n, where the first m elements denote the elements that should be merged, and the last n elements are set to 0 and should be ignored. nums2 has a length of n.
+The final sorted array should not be returned by the function, but instead be stored inside the array nums1. To
+accommodate this, nums1 has a length of m + n, where the first m elements denote the elements that should be merged, and
+the last n elements are set to 0 and should be ignored. nums2 has a length of n.
 
+```text
 Example 1:
 
 Input: nums1 = [1,2,3,0,0,0], m = 3, nums2 = [2,5,6], n = 3
 Output: [1,2,2,3,5,6]
 Explanation: The arrays we are merging are [1,2,3] and [2,5,6].
 The result of the merge is [1,2,2,3,5,6] with the underlined elements coming from nums1.
+```
+
+```text
 Example 2:
 
 Input: nums1 = [1], m = 1, nums2 = [], n = 0
 Output: [1]
 Explanation: The arrays we are merging are [1] and [].
 The result of the merge is [1].
+```
+
+```text
 Example 3:
 
 Input: nums1 = [0], m = 0, nums2 = [1], n = 1
 Output: [1]
 Explanation: The arrays we are merging are [] and [1].
 The result of the merge is [1].
 Note that because m = 0, there are no elements in nums1. The 0 is only there to ensure the merge result can fit in nums1.
+```
+
+## Related Topics
+
+- Array
+- Two Pointers
+- Sorting

datastructures/arrays/merge_sorted_arrays/__init__.py → algorithms/two_pointers/merge_sorted_arrays/__init__.py

@@ -3,7 +3,7 @@
 
 def merge(nums1: List[int], m: int, nums2: List[int], n: int) -> None:
     """
-    Do not return anything, modify nums1 in-place instead.
+    Does not return anything, modifies nums1 in-place instead.
     """
     while m > 0 and n > 0:
         if nums1[m - 1] > nums2[n - 1]:

tests/datastructures/arrays/test_merge_sorted_arrays.py → algorithms/two_pointers/merge_sorted_arrays/test_merge_sorted_arrays.py

@@ -1,6 +1,6 @@
 import unittest
 
-from datastructures.arrays.merge_sorted_arrays import merge
+from . import merge
 
 
 class MergeSortedArraysTestCases(unittest.TestCase):
@@ -11,7 +11,7 @@ def test_should_return_0_when_empty_array(self):
         self.assertEqual(nums1, [])
 
     def test_set_nums1_to_1_2_2_3_5_6_when_nums1_is_1_2_3_0_0_0_and_m_is_3_and_nums2_is_2_5_6_and_n_is_3(
-        self,
+            self,
     ):
         """Should set nums1 to [1,2,2,3,5,6] when initially nums1 = [1,2,3,0,0,0], m = 3, nums2 = [2,5,6], n = 3"""
         nums1 = [1, 2, 3, 0, 0, 0]