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All Algorithms implemented in Python
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* Improved Equilibrium Index of an Array.
This is the modifications made to the original code:
1. Create Doctest Instructions: Python "doctest" can be executed by running the following command: python -m doctest -v equilibrium_index.py.
2. Deleted Argument {size}: Deleted the `size` argument because `len(arr)} allows the array's length to be determined inside the function, simplifying and improving the readability of the function signature.
3. Used {enumerate}: To improve code readability and indicate that we're working with element-index pairs, we iterated through the array using both elements and their indices using the `enumerate` function.
4. Optimized the Loop: To prevent pointless additions, the loop was improved by initializing {left_sum} with the value of the first element (arr[0]). Furthermore, since the beginning and last items (0 and size - 1) cannot be equilibrium indices, there is no need to check them, saving further computations.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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| .github | ||
| .vscode | ||
| audio_filters | ||
| backtracking | ||
| bit_manipulation | ||
| blockchain | ||
| boolean_algebra | ||
| cellular_automata | ||
| ciphers | ||
| compression | ||
| computer_vision | ||
| conversions | ||
| data_structures | ||
| digital_image_processing | ||
| divide_and_conquer | ||
| dynamic_programming | ||
| electronics | ||
| file_transfer | ||
| financial | ||
| fractals | ||
| fuzzy_logic | ||
| genetic_algorithm | ||
| geodesy | ||
| graphics | ||
| graphs | ||
| greedy_methods | ||
| hashes | ||
| knapsack | ||
| linear_algebra | ||
| linear_programming | ||
| machine_learning | ||
| maths | ||
| matrix | ||
| networking_flow | ||
| neural_network | ||
| other | ||
| physics | ||
| project_euler | ||
| quantum | ||
| scheduling | ||
| scripts | ||
| searches | ||
| sorts | ||
| strings | ||
| web_programming | ||
| .gitattributes | ||
| .gitignore | ||
| .gitpod.yml | ||
| .pre-commit-config.yaml | ||
| CONTRIBUTING.md | ||
| DIRECTORY.md | ||
| LICENSE.md | ||
| pyproject.toml | ||
| README.md | ||
| requirements.txt | ||
Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.
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