Travis CI: Run black, doctest, flake8, mypy, and pytest

.travis.yml

@@ -1,5 +1,14 @@
 language: python
 dist: xenial  # required for Python >= 3.7
 python: 3.7
-install: pip install flake8
-script: flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+cache: pip
+install: pip install -r requirements.txt
+before_script:
+  - black --check . || true
+  - flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+script:
+  - mypy --ignore-missing-imports .
+  - pytest --doctest-modules ./ciphers ./other ./searches ./sorts ./strings
+after_success:
+  - python ./~script.py
+  - cat DIRECTORY.md

README.md

@@ -12,12 +12,12 @@ These implementations are for learning purposes. They may be less efficient than
 
 Anup Kumar Panwar
   [[Gmail](mailto:[email protected]?Subject=The%20Algorithms%20-%20Python)
-  [Gihub](https://github.com/anupkumarpanwar)
+  [GitHub](https://github.com/anupkumarpanwar)
   [LinkedIn](https://www.linkedin.com/in/anupkumarpanwar/)]
 
 Chetan Kaushik
   [[Gmail](mailto:[email protected]?Subject=The%20Algorithms%20-%20Python)
-  [Gihub](https://github.com/dynamitechetan)
+  [GitHub](https://github.com/dynamitechetan)
   [LinkedIn](https://www.linkedin.com/in/chetankaushik/)]
 
 ## Contribution Guidelines
@@ -28,337 +28,6 @@ Read our [Contribution Guidelines](CONTRIBUTING.md) before you contribute.
 
 We're on [Gitter](https://gitter.im/TheAlgorithms)! Please join us.
 
-# Algorithms
+## Algorithms
 
-## Hashes
-
-- [Md5](./hashes/md5.py)
-- [Chaos Machine](./hashes/chaos_machine.py)
-- [Sha1](./hashes/sha1.py)
-
-## File Transfer Protocol
-
-- [Ftp Client Server](./file_transfer_protocol/ftp_client_server.py)
-- [Ftp Send Receive](./file_transfer_protocol/ftp_send_receive.py)
-
-## Backtracking
-
-- [N Queens](./backtracking/n_queens.py)
-- [Sum Of Subsets](./backtracking/sum_of_subsets.py)
-- [All Subsequences](./backtracking/all_subsequences.py)
-- [All Permutations](./backtracking/all_permutations.py)
-
-## Ciphers
-
-- [Transposition Cipher](./ciphers/transposition_cipher.py)
-- [Atbash](./ciphers/Atbash.py)
-- [Rot13](./ciphers/rot13.py)
-- [Rabin Miller](./ciphers/rabin_miller.py)
-- [Transposition Cipher Encrypt Decrypt File](./ciphers/transposition_cipher_encrypt_decrypt_file.py)
-- [Affine Cipher](./ciphers/affine_cipher.py)
-- [Trafid Cipher](./ciphers/trafid_cipher.py)
-- [Base16](./ciphers/base16.py)
-- [Elgamal Key Generator](./ciphers/elgamal_key_generator.py)
-- [Rsa Cipher](./ciphers/rsa_cipher.py)
-- [Prehistoric Men.txt](./ciphers/prehistoric_men.txt)
-- [Vigenere Cipher](./ciphers/vigenere_cipher.py)
-- [Xor Cipher](./ciphers/xor_cipher.py)
-- [Brute Force Caesar Cipher](./ciphers/brute_force_caesar_cipher.py)
-- [Rsa Key Generator](./ciphers/rsa_key_generator.py)
-- [Simple Substitution Cipher](./ciphers/simple_substitution_cipher.py)
-- [Playfair Cipher](./ciphers/playfair_cipher.py)
-- [Morse Code Implementation](./ciphers/morse_Code_implementation.py)
-- [Base32](./ciphers/base32.py)
-- [Base85](./ciphers/base85.py)
-- [Base64 Cipher](./ciphers/base64_cipher.py)
-- [Onepad Cipher](./ciphers/onepad_cipher.py)
-- [Caesar Cipher](./ciphers/caesar_cipher.py)
-- [Hill Cipher](./ciphers/hill_cipher.py)
-- [Cryptomath Module](./ciphers/cryptomath_module.py)
-
-## Arithmetic Analysis
-
-- [Bisection](./arithmetic_analysis/bisection.py)
-- [Newton Method](./arithmetic_analysis/newton_method.py)
-- [Newton Raphson Method](./arithmetic_analysis/newton_raphson_method.py)
-- [Intersection](./arithmetic_analysis/intersection.py)
-- [Lu Decomposition](./arithmetic_analysis/lu_decomposition.py)
-
-## Boolean Algebra
-
-- [Quine Mc Cluskey](./boolean_algebra/quine_mc_cluskey.py)
-
-## Traversals
-
-- [Binary Tree Traversals](./traversals/binary_tree_traversals.py)
-
-## Maths
-
-- [Average](./maths/average.py)
-- [Abs Max](./maths/abs_Max.py)
-- [Average Median](./maths/average_median.py)
-- [Trapezoidal Rule](./maths/trapezoidal_rule.py)
-- [Prime Check](./maths/Prime_Check.py)
-- [Modular Exponential](./maths/modular_exponential.py)
-- [Newton Raphson](./maths/newton_raphson.py)
-- [Factorial Recursive](./maths/factorial_recursive.py)
-- [Extended Euclidean Algorithm](./maths/extended_euclidean_algorithm.py)
-- [Greater Common Divisor](./maths/greater_common_divisor.py)
-- [Fibonacci](./maths/fibonacci.py)
-- [Find Lcm](./maths/find_lcm.py)
-- [Find Max](./maths/Find_Max.py)
-- [Fermat Little Theorem](./maths/fermat_little_theorem.py)
-- [Factorial Python](./maths/factorial_python.py)
-- [Fibonacci Sequence Recursion](./maths/fibonacci_sequence_recursion.py)
-- [Sieve Of Eratosthenes](./maths/sieve_of_eratosthenes.py)
-- [Abs Min](./maths/abs_Min.py)
-- [Lucas Series](./maths/lucasSeries.py)
-- [Segmented Sieve](./maths/segmented_sieve.py)
-- [Find Min](./maths/Find_Min.py)
-- [Abs](./maths/abs.py)
-- [Simpson Rule](./maths/simpson_rule.py)
-- [Basic Maths](./maths/basic_maths.py)
-- [3n+1](./maths/3n+1.py)
-- [Binary Exponentiation](./maths/Binary_Exponentiation.py)
-
-## Digital Image Processing
-
-- ## Filters
-
-  - [Median Filter](./digital_image_processing/filters/median_filter.py)
-  - [Gaussian Filter](./digital_image_processing/filters/gaussian_filter.py)
-
-
-## Compression
-
-- [Peak Signal To Noise Ratio](./compression/peak_signal_to_noise_ratio.py)
-- [Huffman](./compression/huffman.py)
-
-## Graphs
-
-- [BFS Shortest Path](./graphs/bfs_shortest_path.py)
-- [Directed And Undirected (Weighted) Graph](<./graphs/Directed_and_Undirected_(Weighted)_Graph.py>)
-- [Minimum Spanning Tree Prims](./graphs/minimum_spanning_tree_prims.py)
-- [Graph Matrix](./graphs/graph_matrix.py)
-- [Basic Graphs](./graphs/basic_graphs.py)
-- [Dijkstra 2](./graphs/dijkstra_2.py)
-- [Tarjans Strongly Connected Components](./graphs/tarjans_scc.py)
-- [Check Bipartite Graph BFS](./graphs/check_bipartite_graph_bfs.py)
-- [Depth First Search](./graphs/depth_first_search.py)
-- [Kahns Algorithm Long](./graphs/kahns_algorithm_long.py)
-- [Breadth First Search](./graphs/breadth_first_search.py)
-- [Dijkstra](./graphs/dijkstra.py)
-- [Articulation Points](./graphs/articulation_points.py)
-- [Bellman Ford](./graphs/bellman_ford.py)
-- [Check Bipartite Graph Dfs](./graphs/check_bipartite_graph_dfs.py)
-- [Strongly Connected Components Kosaraju](./graphs/scc_kosaraju.py)
-- [Multi Hueristic Astar](./graphs/multi_hueristic_astar.py)
-- [Page Rank](./graphs/page_rank.py)
-- [Eulerian Path And Circuit For Undirected Graph](./graphs/Eulerian_path_and_circuit_for_undirected_graph.py)
-- [Edmonds Karp Multiple Source And Sink](./graphs/edmonds_karp_multiple_source_and_sink.py)
-- [Floyd Warshall](./graphs/floyd_warshall.py)
-- [Minimum Spanning Tree Kruskal](./graphs/minimum_spanning_tree_kruskal.py)
-- [Prim](./graphs/prim.py)
-- [Kahns Algorithm Topo](./graphs/kahns_algorithm_topo.py)
-- [BFS](./graphs/BFS.py)
-- [Finding Bridges](./graphs/finding_bridges.py)
-- [Graph List](./graphs/graph_list.py)
-- [Dijkstra Algorithm](./graphs/dijkstra_algorithm.py)
-- [A Star](./graphs/a_star.py)
-- [Even Tree](./graphs/even_tree.py)
-- [DFS](./graphs/DFS.py)
-
-## Networking Flow
-
-- [Minimum Cut](./networking_flow/minimum_cut.py)
-- [Ford Fulkerson](./networking_flow/ford_fulkerson.py)
-
-## Matrix
-
-- [Matrix Operation](./matrix/matrix_operation.py)
-- [Searching In Sorted Matrix](./matrix/searching_in_sorted_matrix.py)
-- [Spiral Print](./matrix/spiral_print.py)
-
-## Searches
-
-- [Quick Select](./searches/quick_select.py)
-- [Binary Search](./searches/binary_search.py)
-- [Interpolation Search](./searches/interpolation_search.py)
-- [Jump Search](./searches/jump_search.py)
-- [Linear Search](./searches/linear_search.py)
-- [Ternary Search](./searches/ternary_search.py)
-- [Tabu Search](./searches/tabu_search.py)
-- [Sentinel Linear Search](./searches/sentinel_linear_search.py)
-
-## Conversions
-
-- [Decimal To Binary](./conversions/decimal_to_binary.py)
-- [Decimal To Octal](./conversions/decimal_to_octal.py)
-
-## Dynamic Programming
-
-- [Fractional Knapsack](./dynamic_programming/Fractional_Knapsack.py)
-- [Sum Of Subset](./dynamic_programming/sum_of_subset.py)
-- [Fast Fibonacci](./dynamic_programming/fast_fibonacci.py)
-- [Bitmask](./dynamic_programming/bitmask.py)
-- [Abbreviation](./dynamic_programming/abbreviation.py)
-- [Rod Cutting](./dynamic_programming/rod_cutting.py)
-- [Knapsack](./dynamic_programming/knapsack.py)
-- [Max Sub Array](./dynamic_programming/max_sub_array.py)
-- [Fibonacci](./dynamic_programming/fibonacci.py)
-- [Minimum Partition](./dynamic_programming/minimum_partition.py)
-- [K Means Clustering Tensorflow](./dynamic_programming/k_means_clustering_tensorflow.py)
-- [Coin Change](./dynamic_programming/coin_change.py)
-- [Subset Generation](./dynamic_programming/subset_generation.py)
-- [Floyd Warshall](./dynamic_programming/floyd_warshall.py)
-- [Longest Sub Array](./dynamic_programming/longest_sub_array.py)
-- [Integer Partition](./dynamic_programming/integer_partition.py)
-- [Matrix Chain Order](./dynamic_programming/matrix_chain_order.py)
-- [Edit Distance](./dynamic_programming/edit_distance.py)
-- [Longest Common Subsequence](./dynamic_programming/longest_common_subsequence.py)
-- [Longest Increasing Subsequence O(nlogn)](<./dynamic_programming/longest_increasing_subsequence_O(nlogn).py>)
-- [Longest Increasing Subsequence](./dynamic_programming/longest_increasing_subsequence.py)
-
-## Divide And Conquer
-
-- [Max Subarray Sum](./divide_and_conquer/max_subarray_sum.py)
-- [Closest Pair Of Points](./divide_and_conquer/closest_pair_of_points.py)
-
-## Strings
-
-- [Knuth Morris Pratt](./strings/knuth_morris_pratt.py)
-- [Rabin Karp](./strings/rabin_karp.py)
-- [Naive String Search](./strings/naive_String_Search.py)
-- [Levenshtein Distance](./strings/levenshtein_distance.py)
-- [Min Cost String Conversion](./strings/min_cost_string_conversion.py)
-- [Boyer Moore Search](./strings/Boyer_Moore_Search.py)
-- [Manacher](./strings/manacher.py)
-
-## Sorts
-
-- [Quick Sort](./sorts/quick_sort.py)
-- [Selection Sort](./sorts/selection_sort.py)
-- [Bitonic Sort](./sorts/Bitonic_Sort.py)
-- [Cycle Sort](./sorts/cycle_sort.py)
-- [Comb Sort](./sorts/comb_sort.py)
-- [Topological Sort](./sorts/topological_sort.py)
-- [Merge Sort Fastest](./sorts/merge_sort_fastest.py)
-- [Random Pivot Quick Sort](./sorts/random_pivot_quick_sort.py)
-- [Heap Sort](./sorts/heap_sort.py)
-- [Insertion Sort](./sorts/insertion_sort.py)
-- [Counting Sort](./sorts/counting_sort.py)
-- [Bucket Sort](./sorts/bucket_sort.py)
-- [Quick Sort 3 Partition](./sorts/quick_sort_3_partition.py)
-- [Bogo Sort](./sorts/bogo_sort.py)
-- [Shell Sort](./sorts/shell_sort.py)
-- [Pigeon Sort](./sorts/pigeon_sort.py)
-- [Odd-Even Transposition Parallel](./sorts/Odd-Even_transposition_parallel.py)
-- [Tree Sort](./sorts/tree_sort.py)
-- [Cocktail Shaker Sort](./sorts/cocktail_shaker_sort.py)
-- [Random Normal Distribution Quicksort](./sorts/random_normal_distribution_quicksort.py)
-- [Wiggle Sort](./sorts/wiggle_sort.py)
-- [Pancake Sort](./sorts/pancake_sort.py)
-- [External Sort](./sorts/external_sort.py)
-- [Tim Sort](./sorts/tim_sort.py)
-- [Sorting Graphs.png](./sorts/sorting_graphs.png)
-- [Radix Sort](./sorts/radix_sort.py)
-- [Odd-Even Transposition Single-threaded](./sorts/Odd-Even_transposition_single-threaded.py)
-- [Bubble Sort](./sorts/bubble_sort.py)
-- [Gnome Sort](./sorts/gnome_sort.py)
-- [Merge Sort](./sorts/merge_sort.py)
-
-## Machine Learning
-
-- [Perceptron](./machine_learning/perceptron.py)
-- [Random Forest Classifier](./machine_learning/random_forest_classification/random_forest_classifier.ipynb)
-- [NaiveBayes.ipynb](./machine_learning/NaiveBayes.ipynb)
-- [Scoring Functions](./machine_learning/scoring_functions.py)
-- [Logistic Regression](./machine_learning/logistic_regression.py)
-- [Gradient Descent](./machine_learning/gradient_descent.py)
-- [Linear Regression](./machine_learning/linear_regression.py)
-- [Random Forest Regression](./machine_learning/random_forest_regression/random_forest_regression.py)
-- [Random Forest Regression](./machine_learning/random_forest_regression/random_forest_regression.ipynb)
-- [Reuters One Vs Rest Classifier.ipynb](./machine_learning/reuters_one_vs_rest_classifier.ipynb)
-- [Decision Tree](./machine_learning/decision_tree.py)
-- [Knn Sklearn](./machine_learning/knn_sklearn.py)
-- [K Means Clust](./machine_learning/k_means_clust.py)
-
-## Neural Network
-
-- [Perceptron](./neural_network/perceptron.py)
-- [Fully Connected Neural Network](./neural_network/fully_connected_neural_network.ipynb)
-- [Convolution Neural Network](./neural_network/convolution_neural_network.py)
-- [Back Propagation Neural Network](./neural_network/back_propagation_neural_network.py)
-
-## Data Structures
-
-- ## Binary Tree
-
-   - [Basic Binary Tree](./data_structures/binary_tree/basic_binary_tree.py)
-  - [Red Black Tree](./data_structures/binary_tree/red_black_tree.py)
-  - [Fenwick Tree](./data_structures/binary_tree/fenwick_tree.py)
-  - [Treap](./data_structures/binary_tree/treap.py)
-  - [AVL Tree](./data_structures/binary_tree/AVL_tree.py)
-  - [Segment Tree](./data_structures/binary_tree/segment_tree.py)
-  - [Lazy Segment Tree](./data_structures/binary_tree/lazy_segment_tree.py)
-  - [Binary Search Tree](./data_structures/binary_tree/binary_search_tree.py)
-
-- ## Trie
-
-  - [Trie](./data_structures/trie/trie.py)
-
-- ## Linked List
-
-  - [Swap Nodes](./data_structures/linked_list/swap_nodes.py)
-  - [Doubly Linked List](./data_structures/linked_list/doubly_linked_list.py)
-  - [Singly Linked List](./data_structures/linked_list/singly_linked_list.py)
-  - [Is Palindrome](./data_structures/linked_list/is_Palindrome.py)
-
-- ## Stacks
-
-  - [Postfix Evaluation](./data_structures/stacks/postfix_evaluation.py)
-  - [Balanced Parentheses](./data_structures/stacks/balanced_parentheses.py)
-  - [Infix To Prefix Conversion](./data_structures/stacks/infix_to_prefix_conversion.py)
-  - [Stack](./data_structures/stacks/stack.py)
-  - [Infix To Postfix Conversion](./data_structures/stacks/infix_to_postfix_conversion.py)
-  - [Next Greater Element](./data_structures/stacks/next_greater_element.py)
-  - [Stock Span Problem](./data_structures/stacks/stock_span_problem.py)
-
-- ## Queue
-
-  - [Queue On Pseudo Stack](./data_structures/queue/queue_on_pseudo_stack.py)
-  - [Double Ended Queue](./data_structures/queue/double_ended_queue.py)
-  - [Queue On List](./data_structures/queue/queue_on_list.py)
-
-- ## Heap
-
-  - [Heap](./data_structures/heap/heap.py)
-
-- ## Hashing
-
-  - [Hash Table With Linked List](./data_structures/hashing/hash_table_with_linked_list.py)
-  - [Quadratic Probing](./data_structures/hashing/quadratic_probing.py)
-  - [Hash Table](./data_structures/hashing/hash_table.py)
-  - [Double Hash](./data_structures/hashing/double_hash.py)
-
-
-## Other
-
-- [Detecting English Programmatically](./other/detecting_english_programmatically.py)
-- [Fischer Yates Shuffle](./other/fischer_yates_shuffle.py)
-- [Primelib](./other/primelib.py)
-- [Binary Exponentiation 2](./other/binary_exponentiation_2.py)
-- [Anagrams](./other/anagrams.py)
-- [Palindrome](./other/palindrome.py)
-- [Finding Primes](./other/finding_Primes.py)
-- [Two Sum](./other/two_sum.py)
-- [Password Generator](./other/password_generator.py)
-- [Linear Congruential Generator](./other/linear_congruential_generator.py)
-- [Frequency Finder](./other/frequency_finder.py)
-- [Euclidean Gcd](./other/euclidean_gcd.py)
-- [Word Patterns](./other/word_patterns.py)
-- [Nested Brackets](./other/nested_brackets.py)
-- [Binary Exponentiation](./other/binary_exponentiation.py)
-- [Sierpinski Triangle](./other/sierpinski_triangle.py)
-- [Game Of Life](./other/game_of_life.py)
-- [Tower Of Hanoi](./other/tower_of_hanoi.py)
+See our [directory](DIRECTORY.md).

ciphers/Atbash.py

@@ -18,4 +18,6 @@ def Atbash():
             output+=i
     print(output)
 
-Atbash()
+
+if __name__ == '__main__':
+    Atbash()

ciphers/caesar_cipher.py

@@ -59,4 +59,7 @@ def main():
         elif choice == '4':
             print ("Goodbye.")
             break
-main()
+
+
+if __name__ == '__main__':
+    main()

other/detecting_english_programmatically.py

@@ -6,7 +6,7 @@
 def loadDictionary():
     path = os.path.split(os.path.realpath(__file__))
     englishWords = {}
-    with open(path[0] + '/Dictionary.txt') as dictionaryFile:
+    with open(path[0] + '/dictionary.txt') as dictionaryFile:
         for word in dictionaryFile.read().split('\n'):
             englishWords[word] = None
     return englishWords