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snapshot.txt
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Repository: TheAlgorithms/Python
Url: "https://github.com/TheAlgorithms/Python.git"
Args: ["**/*.{md,py}"]
Lines:
CSpell: Files checked: 1315, Issues found: 3408 in 489 files.
exit code: 1
./CONTRIBUTING.md:142:33 - Unknown word (pytest) -- doctests will be run by pytest as part of our automated
./CONTRIBUTING.md:145:14 - Unknown word (doctest) -- python3 -m doctest -v my_submission.py
./CONTRIBUTING.md:162:171 - Unknown word (mypy) -- automated testing will run [mypy](http://mypy-lang.org
./CONTRIBUTING.md:193:10 - Unknown word (poyea) -- Writer [@poyea](https://github.com
./CONTRIBUTING.md:57:8 - Unknown word (docstrings) -- * have docstrings with clear explanations
./CONTRIBUTING.md:58:11 - Unknown word (doctests) -- * contain doctests that test both valid
./CONTRIBUTING.md:5:350 - Unknown word (Gitter) -- ask the community on [Gitter](https://gitter.im/TheAlgorit
./CONTRIBUTING.md:88:334 - Unknown word (autopep) -- other code formatters (autopep8, yapf) but the __black
./CONTRIBUTING.md:88:344 - Unknown word (yapf) -- formatters (autopep8, yapf) but the __black__ formatter
./DIRECTORY.md:105:6 - Unknown word (Onepad) -- * [Onepad Cipher](ciphers/onepad
./DIRECTORY.md:107:6 - Unknown word (Playfair) -- * [Playfair Cipher](ciphers/playfair
./DIRECTORY.md:109:6 - Unknown word (Porta) -- * [Porta Cipher](ciphers/porta
./DIRECTORY.md:1196:6 - Unknown word (Bitonic) -- * [Bitonic Sort](sorts/bitonic
./DIRECTORY.md:1197:6 - Unknown word (Bogo) -- * [Bogo Sort](sorts/bogo_sort
./DIRECTORY.md:1234:6 - Unknown word (Slowsort) -- * [Slowsort](sorts/slowsort.py)
./DIRECTORY.md:123:6 - Unknown word (Vernam) -- * [Vernam Cipher](ciphers/vernam
./DIRECTORY.md:1244:10 - Unknown word (Corasick) -- * [Aho Corasick](strings/aho_corasick
./DIRECTORY.md:1249:6 - Unknown word (Bitap) -- * [Bitap String Match](strings
./DIRECTORY.md:124:6 - Unknown word (Vigenere) -- * [Vigenere Cipher](ciphers/vigenere
./DIRECTORY.md:1256:6 - Unknown word (Damerau) -- * [Damerau Levenshtein Distance
./DIRECTORY.md:1264:9 - Unknown word (Isogram) -- * [Is Isogram](strings/is_isogram
./DIRECTORY.md:1268:9 - Unknown word (Srilankan) -- * [Is Srilankan Phone Number](strings
./DIRECTORY.md:1270:11 - Unknown word (Winkler) -- * [Jaro Winkler](strings/jaro_winkler
./DIRECTORY.md:1270:6 - Unknown word (Jaro) -- * [Jaro Winkler](strings/jaro
./DIRECTORY.md:1275:6 - Unknown word (Manacher) -- * [Manacher](strings/manacher.py
./DIRECTORY.md:1278:6 - Unknown word (Ngram) -- * [Ngram](strings/ngram.py)
./DIRECTORY.md:1318:10 - Unknown word (Imdb) -- * [Get Imdb Top 250 Movies Csv]
./DIRECTORY.md:1319:13 - Unknown word (Geolocation) -- * [Get Ip Geolocation](web_programming/get
./DIRECTORY.md:1323:6 - Unknown word (Giphy) -- * [Giphy](web_programming/giphy
./DIRECTORY.md:1330:6 - Unknown word (Recaptcha) -- * [Recaptcha Verification](web_programming
./DIRECTORY.md:168:10 - Unknown word (Cmyk) -- * [Rgb Cmyk Conversion](conversions
./DIRECTORY.md:203:8 - Unknown word (Fenwick) -- * [Fenwick Tree](data_structures
./DIRECTORY.md:204:16 - Unknown word (Binarytree) -- * [Flatten Binarytree To Linkedlist](data
./DIRECTORY.md:204:30 - Unknown word (Linkedlist) -- Flatten Binarytree To Linkedlist](data_structures/binary
./DIRECTORY.md:247:8 - Unknown word (Deque) -- * [Deque Doubly](data_structures
./DIRECTORY.md:250:8 - Unknown word (Floyds) -- * [Floyds Cycle Detection](data
./DIRECTORY.md:273:8 - Unknown word (Dijkstras) -- * [Dijkstras Two Stack Algorithm
./DIRECTORY.md:304:8 - Unknown word (Sobel) -- * [Sobel Filter](digital_image
./DIRECTORY.md:30:19 - Unknown word (Setbits) -- * [Binary Count Setbits](bit_manipulation/binary
./DIRECTORY.md:326:10 - Unknown word (Subarray) -- * [Max Subarray](divide_and_conquer
./DIRECTORY.md:327:6 - Unknown word (Mergesort) -- * [Mergesort](divide_and_conquer
./DIRECTORY.md:330:6 - Unknown word (Strassen) -- * [Strassen Matrix Multiplication
./DIRECTORY.md:335:6 - Unknown word (Bitmask) -- * [Bitmask](dynamic_programming
./DIRECTORY.md:344:12 - Unknown word (Warshall) -- * [Floyd Warshall](dynamic_programming
./DIRECTORY.md:346:24 - Unknown word (Submasks) -- [Iterating Through Submasks](dynamic_programming
./DIRECTORY.md:352:39 - Unknown word (Nlogn) -- Increasing Subsequence O(Nlogn)](dynamic_programming
./DIRECTORY.md:375:6 - Unknown word (Tribonacci) -- * [Tribonacci](dynamic_programming
./DIRECTORY.md:376:6 - Unknown word (Viterbi) -- * [Viterbi](dynamic_programming
./DIRECTORY.md:37:21 - Unknown word (Kernighan) -- * [Count 1S Brian Kernighan Method](bit_manipulation
./DIRECTORY.md:3:6 - Unknown word (Butterworth) -- * [Butterworth Filter](audio_filters
./DIRECTORY.md:435:6 - Unknown word (Bezier) -- * [Bezier Curve](graphics/bezier
./DIRECTORY.md:447:6 - Unknown word (Boruvka) -- * [Boruvka](graphs/boruvka.py)
./DIRECTORY.md:453:12 - Unknown word (Bipatrite) -- * [Check Bipatrite](graphs/check_bipatrite
./DIRECTORY.md:464:6 - Unknown word (Dinic) -- * [Dinic](graphs/dinic.py)
./DIRECTORY.md:466:14 - Unknown word (Karp) -- * [Edmonds Karp Multiple Source And
./DIRECTORY.md:466:6 - Unknown word (Edmonds) -- * [Edmonds Karp Multiple Source
./DIRECTORY.md:467:6 - Unknown word (Eulerian) -- * [Eulerian Path And Circuit For
./DIRECTORY.md:472:11 - Unknown word (Shapley) -- * [Gale Shapley Bigraph](graphs/gale
./DIRECTORY.md:472:19 - Unknown word (Bigraph) -- * [Gale Shapley Bigraph](graphs/gale_shapley
./DIRECTORY.md:479:6 - Unknown word (Kahns) -- * [Kahns Algorithm Long](graphs
./DIRECTORY.md:480:22 - Unknown word (Topo) -- * [Kahns Algorithm Topo](graphs/kahns_algorithm
./DIRECTORY.md:481:6 - Unknown word (Karger) -- * [Karger](graphs/karger.py)
./DIRECTORY.md:486:28 - Unknown word (Kruskal) -- Minimum Spanning Tree Kruskal](graphs/minimum_spanning
./DIRECTORY.md:490:22 - Unknown word (Astar) -- * [Multi Heuristic Astar](graphs/multi_heuristic
./DIRECTORY.md:494:10 - Unknown word (Kosaraju) -- * [Scc Kosaraju](graphs/scc_kosaraju
./DIRECTORY.md:496:6 - Unknown word (Tarjans) -- * [Tarjans Scc](graphs/tarjans
./DIRECTORY.md:520:6 - Unknown word (Luhn) -- * [Luhn](hashes/luhn.py)
./DIRECTORY.md:522:6 - Unknown word (Sdbm) -- * [Sdbm](hashes/sdbm.py)
./DIRECTORY.md:543:8 - Unknown word (Polynom) -- * [Polynom For Points](linear_algebra
./DIRECTORY.md:547:8 - Unknown word (Schur) -- * [Schur Complement](linear_algebra
./DIRECTORY.md:555:6 - Unknown word (Apriori) -- * [Apriori Algorithm](machine_learning
./DIRECTORY.md:566:14 - Unknown word (Clust) -- * [K Means Clust](machine_learning/k
./DIRECTORY.md:567:16 - Unknown word (Neighbours) -- * [K Nearest Neighbours](machine_learning/k
./DIRECTORY.md:574:6 - Unknown word (Mfcc) -- * [Mfcc](machine_learning/mfcc
./DIRECTORY.md:583:6 - Unknown word (Xgboost) -- * [Xgboost Classifier](machine
./DIRECTORY.md:598:13 - Unknown word (Borwein) -- * [Bailey Borwein Plouffe](maths/bailey
./DIRECTORY.md:598:21 - Unknown word (Plouffe) -- * [Bailey Borwein Plouffe](maths/bailey_borwein
./DIRECTORY.md:606:6 - Unknown word (Chebyshev) -- * [Chebyshev Distance](maths/chebyshev
./DIRECTORY.md:609:6 - Unknown word (Chudnovsky) -- * [Chudnovsky Algorithm](maths/chudnovsky
./DIRECTORY.md:610:6 - Unknown word (Collatz) -- * [Collatz Sequence](maths/collatz
./DIRECTORY.md:622:13 - Unknown word (Totient) -- * [Eulers Totient](maths/eulers_totient
./DIRECTORY.md:622:6 - Unknown word (Eulers) -- * [Eulers Totient](maths/eulers
./DIRECTORY.md:62:6 - Unknown word (Nand) -- * [Nand Gate](boolean_algebra
./DIRECTORY.md:635:6 - Unknown word (Germain) -- * [Germain Primes](maths/germain
./DIRECTORY.md:637:12 - Unknown word (Ramanujanalgo) -- * [Hardy Ramanujanalgo](maths/hardy_ramanujanalgo
./DIRECTORY.md:639:6 - Unknown word (Interquartile) -- * [Interquartile Range](maths/interquartile
./DIRECTORY.md:63:6 - Unknown word (Nimply) -- * [Nimply Gate](boolean_algebra
./DIRECTORY.md:643:6 - Unknown word (Jaccard) -- * [Jaccard Similarity](maths/jaccard
./DIRECTORY.md:647:6 - Unknown word (Karatsuba) -- * [Karatsuba](maths/karatsuba.py
./DIRECTORY.md:652:6 - Unknown word (Liouville) -- * [Liouville Lambda](maths/liouville
./DIRECTORY.md:653:12 - Unknown word (Lehmer) -- * [Lucas Lehmer Primality Test](maths
./DIRECTORY.md:655:6 - Unknown word (Maclaurin) -- * [Maclaurin Series](maths/maclaurin
./DIRECTORY.md:660:6 - Unknown word (Minkowski) -- * [Minkowski Distance](maths/minkowski
./DIRECTORY.md:661:6 - Unknown word (Mobius) -- * [Mobius Function](maths/mobius
./DIRECTORY.md:668:14 - Unknown word (Bashforth) -- * [Adams Bashforth](maths/numerical_analysis
./DIRECTORY.md:673:8 - Unknown word (Nevilles) -- * [Nevilles Method](maths/numerical
./DIRECTORY.md:675:15 - Unknown word (Raphson) -- * [Newton Raphson](maths/numerical_analysis
./DIRECTORY.md:677:14 - Unknown word (Kutta) -- * [Runge Kutta](maths/numerical_analysis
./DIRECTORY.md:677:8 - Unknown word (Runge) -- * [Runge Kutta](maths/numerical
./DIRECTORY.md:678:20 - Unknown word (Fehlberg) -- * [Runge Kutta Fehlberg 45](maths/numerical
./DIRECTORY.md:67:15 - Unknown word (Cluskey) -- * [Quine Mc Cluskey](boolean_algebra/quine
./DIRECTORY.md:68:6 - Unknown word (Xnor) -- * [Xnor Gate](boolean_algebra
./DIRECTORY.md:700:6 - Unknown word (Primelib) -- * [Primelib](maths/primelib.py)
./DIRECTORY.md:719:6 - Unknown word (Signum) -- * [Signum](maths/signum.py)
./DIRECTORY.md:723:6 - Unknown word (Softmax) -- * [Softmax](maths/softmax.py)
./DIRECTORY.md:724:6 - Unknown word (Solovay) -- * [Solovay Strassen Primality Test
./DIRECTORY.md:728:8 - Unknown word (Automorphic) -- * [Automorphic Number](maths/special
./DIRECTORY.md:72:6 - Unknown word (Conways) -- * [Conways Game Of Life](cellular
./DIRECTORY.md:734:8 - Unknown word (Harshad) -- * [Harshad Numbers](maths/special
./DIRECTORY.md:736:8 - Unknown word (Krishnamurthy) -- * [Krishnamurthy Number](maths/special
./DIRECTORY.md:739:8 - Unknown word (Pronic) -- * [Pronic Number](maths/special
./DIRECTORY.md:740:8 - Unknown word (Proth) -- * [Proth Number](maths/special
./DIRECTORY.md:748:6 - Unknown word (Sumset) -- * [Sumset](maths/sumset.py)
./DIRECTORY.md:74:6 - Unknown word (Langtons) -- * [Langtons Ant](cellular_automata
./DIRECTORY.md:759:6 - Unknown word (Zellers) -- * [Zellers Congruence](maths/zellers
./DIRECTORY.md:75:12 - Unknown word (Schrekenberg) -- * [Nagel Schrekenberg](cellular_automata/nagel
./DIRECTORY.md:75:6 - Unknown word (Nagel) -- * [Nagel Schrekenberg](cellular
./DIRECTORY.md:766:6 - Unknown word (Cramers) -- * [Cramers Rule 2X2](matrix/cramers
./DIRECTORY.md:785:11 - Unknown word (Fulkerson) -- * [Ford Fulkerson](networking_flow/ford
./DIRECTORY.md:795:8 - Unknown word (Mish) -- * [Mish](neural_network/activation
./DIRECTORY.md:798:8 - Unknown word (Soboleva) -- * [Soboleva Modified Hyperbolic
./DIRECTORY.md:799:8 - Unknown word (Softplus) -- * [Softplus](neural_network/activation
./DIRECTORY.md:800:8 - Unknown word (Squareplus) -- * [Squareplus](neural_network/activation
./DIRECTORY.md:810:19 - Unknown word (Logemann) -- * [Davis Putnam Logemann Loveland](other/davis
./DIRECTORY.md:810:28 - Unknown word (Loveland) -- Davis Putnam Logemann Loveland](other/davis_putnam
./DIRECTORY.md:820:13 - Unknown word (Congruential) -- * [Linear Congruential Generator](other/linear
./DIRECTORY.md:822:6 - Unknown word (Magicdiamondpattern) -- * [Magicdiamondpattern](other/magicdiamondpattern
./DIRECTORY.md:82:6 - Unknown word (Atbash) -- * [Atbash](ciphers/atbash.py)
./DIRECTORY.md:830:6 - Unknown word (Sdes) -- * [Sdes](other/sdes.py)
./DIRECTORY.md:838:6 - Unknown word (Casimir) -- * [Casimir Effect](physics/casimir
./DIRECTORY.md:83:6 - Unknown word (Autokey) -- * [Autokey](ciphers/autokey.py
./DIRECTORY.md:84:6 - Unknown word (Baconian) -- * [Baconian Cipher](ciphers/baconian
./DIRECTORY.md:851:6 - Unknown word (Malus) -- * [Malus Law](physics/malus_law
./DIRECTORY.md:93:6 - Unknown word (Cryptomath) -- * [Cryptomath Module](ciphers/cryptomath
./DIRECTORY.md:98:6 - Unknown word (Elgamal) -- * [Elgamal Key Generator](ciphers
./audio_filters/butterworth_filter.py:183:5 - Unknown word (ppmc) -- ppmc = (big_a + 1) + (big
./audio_filters/butterworth_filter.py:185:5 - Unknown word (pmpc) -- pmpc = (big_a - 1) + (big
./audio_filters/butterworth_filter.py:22:18 - Unknown word (coeffs) -- >>> filter.a_coeffs + filter.b_coeffs
./audio_filters/butterworth_filter.py:38:5 - Unknown word (filt) -- filt = IIRFilter(2)
./audio_filters/iir_filter.py:44:58 - Unknown word (btype) -- btype='lowpass',
./audio_filters/show_response.py:22:21 - Unknown word (ndarray) -- fft_results: np.ndarray, samplerate: int
./audio_filters/show_response.py:55:43 - Unknown word (nyquist) -- log scale from 24 to nyquist frequency
./audio_filters/show_response.py:56:9 - Unknown word (xlim) -- plt.xlim(24, samplerate / 2
./audio_filters/show_response.py:57:9 - Unknown word (xlabel) -- plt.xlabel("Frequency (Hz)")
./audio_filters/show_response.py:58:9 - Unknown word (xscale) -- plt.xscale("log")
./audio_filters/show_response.py:62:9 - Unknown word (ylim) -- plt.ylim(max([-80, bounds[0]
./audio_filters/show_response.py:63:9 - Unknown word (ylabel) -- plt.ylabel("Gain (dB)")
./backtracking/coloring.py:11:5 - Unknown word (neighbours) -- neighbours: list[int], colored
./backtracking/coloring.py:14:14 - Unknown word (neighbour) -- For each neighbour check if the coloring
./backtracking/coloring.py:52:18 - Unknown word (Uncolor) -- 2.5. Uncolor given vertex
./backtracking/generate_parentheses.py:2:16 - Unknown word (Soni) -- author: Aayush Soni
./backtracking/generate_parentheses.py:2:9 - Unknown word (Aayush) -- author: Aayush Soni
./backtracking/n_queens.py:3:6 - Unknown word (nqueens) -- The nqueens problem is of placing
./backtracking/sum_of_subsets.py:12:29 - Unknown word (soln) -- generate_sum_of_subsets_soln(nums: list[int], max
./backtracking/word_search.py:23:2 - Unknown word (ABCCED) -- "ABCCED"
./backtracking/word_search.py:69:5 - Unknown word (traverts) -- traverts_directions = [(0, 1
./backtracking/word_search.py:97:79 - Unknown word (ABCB) -- "A","D","E","E"]], "ABCB")
./bit_manipulation/count_1s_brian_kernighan_method.py:3:66 - Unknown word (Kernighan's) -- integer using Brian Kernighan's way.
./bit_manipulation/count_number_of_one_bits.py:4:36 - Unknown word (kernighans) -- bits_count_using_brian_kernighans_algorithm(number: int
./bit_manipulation/largest_pow_of_two_le_num.py:2:11 - Unknown word (Naman) -- Author : Naman Sharma
./bit_manipulation/largest_pow_of_two_le_num.py:2:17 - Unknown word (Sharma) -- Author : Naman Sharma
./boolean_algebra/karnaugh_map_simplification.py:7:14 - Unknown word (kmap) -- def simplify_kmap(kmap: list[list[int
./boolean_algebra/karnaugh_map_simplification.py:9:18 - Unknown word (Karnaugh) -- Simplify the Karnaugh map.
./boolean_algebra/nand_gate.py:18:5 - Unknown word (nand) -- def nand_gate(input_1: int, input
./boolean_algebra/nand_gate.py:2:3 - Unknown word (NAND) -- A NAND Gate is a logic gate
./boolean_algebra/nor_gate.py:12:22 - Unknown word (Akshaj) -- Code provided by Akshaj Vishwanathan
./boolean_algebra/nor_gate.py:12:29 - Unknown word (Vishwanathan) -- Code provided by Akshaj Vishwanathan
./boolean_algebra/quine_mc_cluskey.py:122:11 - Unknown word (implicant) -- def prime_implicant_chart(
./boolean_algebra/quine_mc_cluskey.py:150:18 - Unknown word (Implicants) -- print("Prime Implicants are:")
./boolean_algebra/quine_mc_cluskey.py:81:45 - Unknown word (implicants) -- list[list[int]], prime_implicants: list[str]) -> list
./boolean_algebra/xnor_gate.py:19:5 - Unknown word (xnor) -- def xnor_gate(input_1: int, input
./boolean_algebra/xnor_gate.py:2:3 - Unknown word (XNOR) -- A XNOR Gate is a logic gate
./cellular_automata/game_of_life.py:120:5 - Unknown word (cmap) -- cmap = ListedColormap(["w
./cellular_automata/game_of_life.py:1:41 - Unknown word (Kumar) -- Life, Author Anurag Kumar(mailto:anuragkumarak
./cellular_automata/langtons_ant.py:19:25 - Unknown word (Langons) -- Represents the main LangonsAnt algorithm.
./cellular_automata/langtons_ant.py:82:22 - Unknown word (xaxis) -- axes.get_xaxis().set_ticks([])
./cellular_automata/langtons_ant.py:83:22 - Unknown word (yaxis) -- axes.get_yaxis().set_ticks([])
./cellular_automata/langtons_ant.py:84:18 - Unknown word (imshow) -- axes.imshow(self.board, cmap="gray
./cellular_automata/nagel_schrekenberg.py:90:7 - Unknown word (Beforce) -- # Beforce calculations, the highway
./cellular_automata/wa_tor.py:261:43 - Unknown word (neighbouring) -- move to an unoccupied neighbouring square
./cellular_automata/wa_tor.py:301:13 - Unknown word (reproducable) -- >>> reproducable_entity = Entity(False
./cellular_automata/wa_tor.py:477:19 - Unknown word (visualisation) -- # visualisation in a terminal or a graph
./cellular_automata/wa_tor.py:481:5 - Unknown word (visualise) -- def visualise(wt: WaTor, iter_number
./cellular_automata/wa_tor.py:9:27 - Unknown word (utilise) -- the Wa-Tor planet, and utilise fully random methods
./ciphers/a1z26.py:13:17 - Unknown word (myname) -- >>> encode("myname")
./ciphers/affine_cipher.py:42:35 - Unknown word (Mpyx) -- I}p~{HL}Gp{vp pFsH}pxMpyxIx JHL O}F{~pvuOvF{FuF
./ciphers/atbash.py:5:5 - Unknown word (atbash) -- def atbash_slow(sequence: str)
./ciphers/atbash.py:8:6 - Unknown word (ZYXWVUT) -- 'ZYXWVUT'
./ciphers/autokey.py:16:12 - Unknown word (avvwo) -- 'jsqqs avvwo'
./ciphers/autokey.py:16:6 - Unknown word (jsqqs) -- 'jsqqs avvwo'
./ciphers/autokey.py:18:16 - Unknown word (ohvp) -- 'vvjfpk wj ohvp su ddylsv'
./ciphers/autokey.py:18:24 - Unknown word (ddylsv) -- 'vvjfpk wj ohvp su ddylsv'
./ciphers/autokey.py:18:6 - Unknown word (vvjfpk) -- 'vvjfpk wj ohvp su ddylsv'
./ciphers/baconian_cipher.py:10:11 - Unknown word (AAABB) -- "d": "AAABB",
./ciphers/baconian_cipher.py:11:11 - Unknown word (AABAA) -- "e": "AABAA",
./ciphers/baconian_cipher.py:12:11 - Unknown word (AABAB) -- "f": "AABAB",
./ciphers/baconian_cipher.py:13:11 - Unknown word (AABBA) -- "g": "AABBA",
./ciphers/baconian_cipher.py:14:11 - Unknown word (AABBB) -- "h": "AABBB",
./ciphers/baconian_cipher.py:15:11 - Unknown word (ABAAA) -- "i": "ABAAA",
./ciphers/baconian_cipher.py:16:11 - Unknown word (BBBAA) -- "j": "BBBAA",
./ciphers/baconian_cipher.py:17:11 - Unknown word (ABAAB) -- "k": "ABAAB",
./ciphers/baconian_cipher.py:18:11 - Unknown word (ABABA) -- "l": "ABABA",
./ciphers/baconian_cipher.py:19:11 - Unknown word (ABABB) -- "m": "ABABB",
./ciphers/baconian_cipher.py:20:11 - Unknown word (ABBAA) -- "n": "ABBAA",
./ciphers/baconian_cipher.py:21:11 - Unknown word (ABBAB) -- "o": "ABBAB",
./ciphers/baconian_cipher.py:22:11 - Unknown word (ABBBA) -- "p": "ABBBA",
./ciphers/baconian_cipher.py:23:11 - Unknown word (ABBBB) -- "q": "ABBBB",
./ciphers/baconian_cipher.py:24:11 - Unknown word (BAAAA) -- "r": "BAAAA",
./ciphers/baconian_cipher.py:25:11 - Unknown word (BAAAB) -- "s": "BAAAB",
./ciphers/baconian_cipher.py:26:11 - Unknown word (BAABA) -- "t": "BAABA",
./ciphers/baconian_cipher.py:27:11 - Unknown word (BAABB) -- "u": "BAABB",
./ciphers/baconian_cipher.py:28:11 - Unknown word (BBBAB) -- "v": "BBBAB",
./ciphers/baconian_cipher.py:29:11 - Unknown word (BABAA) -- "w": "BABAA",
./ciphers/baconian_cipher.py:30:11 - Unknown word (BABAB) -- "x": "BABAB",
./ciphers/baconian_cipher.py:31:11 - Unknown word (BABBA) -- "y": "BABBA",
./ciphers/baconian_cipher.py:32:11 - Unknown word (BABBB) -- "z": "BABBB",
./ciphers/baconian_cipher.py:45:6 - Unknown word (AABBBAABAAABABAABABAABBAB) -- 'AABBBAABAAABABAABABAABBAB'
./ciphers/baconian_cipher.py:47:32 - Unknown word (BABAAABBABBAAAAABABAAAABB) -- AABBBAABAAABABAABABAABBAB BABAAABBABBAAAAABABAAAABB'
./ciphers/baconian_cipher.py:8:11 - Unknown word (AAAAB) -- "b": "AAAAB",
./ciphers/baconian_cipher.py:9:11 - Unknown word (AAABA) -- "c": "AAABA",
./ciphers/base32.py:12:13 - Unknown word (DPEBLW) -- b'JBSWY3DPEBLW64TMMQQQ===='
./ciphers/base32.py:12:21 - Unknown word (TMMQQQ) -- b'JBSWY3DPEBLW64TMMQQQ===='
./ciphers/base32.py:12:7 - Unknown word (JBSWY) -- b'JBSWY3DPEBLW64TMMQQQ===='
./ciphers/base32.py:14:7 - Unknown word (GEZDGNBVGY) -- b'GEZDGNBVGY======'
./ciphers/base32.py:16:12 - Unknown word (ZJANRXW) -- b'ONXW2ZJANRXW4ZZAMNXW24DMMV4CA43UOJUW
./ciphers/base32.py:16:20 - Unknown word (ZZAMNXW) -- b'ONXW2ZJANRXW4ZZAMNXW24DMMV4CA43UOJUW4ZY=
./ciphers/base32.py:16:29 - Unknown word (DMMV) -- ONXW2ZJANRXW4ZZAMNXW24DMMV4CA43UOJUW4ZY='
./ciphers/base32.py:16:38 - Unknown word (UOJUW) -- ZJANRXW4ZZAMNXW24DMMV4CA43UOJUW4ZY='
./ciphers/base32.py:16:7 - Unknown word (ONXW) -- b'ONXW2ZJANRXW4ZZAMNXW24DMMV
./ciphers/base64.py:17:53 - Unknown word (Steganography) -- encoding can be used in Steganography to hide data in these
./ciphers/beaufort_cipher.py:17:6 - Unknown word (SECRETSECRETSECRE) -- 'SECRETSECRETSECRE'
./ciphers/beaufort_cipher.py:2:15 - Unknown word (Radadiya) -- Author: Mohit Radadiya
./ciphers/beaufort_cipher.py:2:9 - Unknown word (Mohit) -- Author: Mohit Radadiya
./ciphers/beaufort_cipher.py:36:10 - Unknown word (PAYUWL) -- 'BDC PAYUWL JPAIYI'
./ciphers/beaufort_cipher.py:36:17 - Unknown word (JPAIYI) -- 'BDC PAYUWL JPAIYI'
./ciphers/bifid.py:58:53 - Unknown word (qtltbdxrxlk) -- encode('testmessage') == 'qtltbdxrxlk'
./ciphers/brute_force_caesar_cipher.py:10:30 - Unknown word (QJABQRU) -- Decryption using Key #3: QJABQRU MJASR
./ciphers/brute_force_caesar_cipher.py:10:38 - Unknown word (MJASR) -- using Key #3: QJABQRU MJASR
./ciphers/brute_force_caesar_cipher.py:11:30 - Unknown word (PIZAPQT) -- Decryption using Key #4: PIZAPQT LIZRQ
./ciphers/brute_force_caesar_cipher.py:11:38 - Unknown word (LIZRQ) -- using Key #4: PIZAPQT LIZRQ
./ciphers/brute_force_caesar_cipher.py:12:30 - Unknown word (OHYZOPS) -- Decryption using Key #5: OHYZOPS KHYQP
./ciphers/brute_force_caesar_cipher.py:12:38 - Unknown word (KHYQP) -- using Key #5: OHYZOPS KHYQP
./ciphers/brute_force_caesar_cipher.py:13:30 - Unknown word (NGXYNOR) -- Decryption using Key #6: NGXYNOR JGXPO
./ciphers/brute_force_caesar_cipher.py:13:38 - Unknown word (JGXPO) -- using Key #6: NGXYNOR JGXPO
./ciphers/brute_force_caesar_cipher.py:14:30 - Unknown word (MFWXMNQ) -- Decryption using Key #7: MFWXMNQ IFWON
./ciphers/brute_force_caesar_cipher.py:14:38 - Unknown word (IFWON) -- using Key #7: MFWXMNQ IFWON
./ciphers/brute_force_caesar_cipher.py:15:30 - Unknown word (LEVWLMP) -- Decryption using Key #8: LEVWLMP HEVNM
./ciphers/brute_force_caesar_cipher.py:15:38 - Unknown word (HEVNM) -- using Key #8: LEVWLMP HEVNM
./ciphers/brute_force_caesar_cipher.py:16:30 - Unknown word (KDUVKLO) -- Decryption using Key #9: KDUVKLO GDUML
./ciphers/brute_force_caesar_cipher.py:16:38 - Unknown word (GDUML) -- using Key #9: KDUVKLO GDUML
./ciphers/brute_force_caesar_cipher.py:17:31 - Unknown word (JCTUJKN) -- Decryption using Key #10: JCTUJKN FCTLK
./ciphers/brute_force_caesar_cipher.py:17:39 - Unknown word (FCTLK) -- using Key #10: JCTUJKN FCTLK
./ciphers/brute_force_caesar_cipher.py:18:31 - Unknown word (IBSTIJM) -- Decryption using Key #11: IBSTIJM EBSKJ
./ciphers/brute_force_caesar_cipher.py:18:39 - Unknown word (EBSKJ) -- using Key #11: IBSTIJM EBSKJ
./ciphers/brute_force_caesar_cipher.py:19:31 - Unknown word (HARSHIL) -- Decryption using Key #12: HARSHIL DARJI
./ciphers/brute_force_caesar_cipher.py:19:39 - Unknown word (DARJI) -- using Key #12: HARSHIL DARJI
./ciphers/brute_force_caesar_cipher.py:20:31 - Unknown word (GZQRGHK) -- Decryption using Key #13: GZQRGHK CZQIH
./ciphers/brute_force_caesar_cipher.py:20:39 - Unknown word (CZQIH) -- using Key #13: GZQRGHK CZQIH
./ciphers/brute_force_caesar_cipher.py:21:31 - Unknown word (FYPQFGJ) -- Decryption using Key #14: FYPQFGJ BYPHG
./ciphers/brute_force_caesar_cipher.py:21:39 - Unknown word (BYPHG) -- using Key #14: FYPQFGJ BYPHG
./ciphers/brute_force_caesar_cipher.py:22:31 - Unknown word (EXOPEFI) -- Decryption using Key #15: EXOPEFI AXOGF
./ciphers/brute_force_caesar_cipher.py:22:39 - Unknown word (AXOGF) -- using Key #15: EXOPEFI AXOGF
./ciphers/brute_force_caesar_cipher.py:23:31 - Unknown word (DWNODEH) -- Decryption using Key #16: DWNODEH ZWNFE
./ciphers/brute_force_caesar_cipher.py:23:39 - Unknown word (ZWNFE) -- using Key #16: DWNODEH ZWNFE
./ciphers/brute_force_caesar_cipher.py:24:31 - Unknown word (CVMNCDG) -- Decryption using Key #17: CVMNCDG YVMED
./ciphers/brute_force_caesar_cipher.py:24:39 - Unknown word (YVMED) -- using Key #17: CVMNCDG YVMED
./ciphers/brute_force_caesar_cipher.py:25:31 - Unknown word (BULMBCF) -- Decryption using Key #18: BULMBCF XULDC
./ciphers/brute_force_caesar_cipher.py:25:39 - Unknown word (XULDC) -- using Key #18: BULMBCF XULDC
./ciphers/brute_force_caesar_cipher.py:26:31 - Unknown word (ATKLABE) -- Decryption using Key #19: ATKLABE WTKCB
./ciphers/brute_force_caesar_cipher.py:26:39 - Unknown word (WTKCB) -- using Key #19: ATKLABE WTKCB
./ciphers/brute_force_caesar_cipher.py:27:31 - Unknown word (ZSJKZAD) -- Decryption using Key #20: ZSJKZAD VSJBA
./ciphers/brute_force_caesar_cipher.py:27:39 - Unknown word (VSJBA) -- using Key #20: ZSJKZAD VSJBA
./ciphers/brute_force_caesar_cipher.py:28:31 - Unknown word (YRIJYZC) -- Decryption using Key #21: YRIJYZC URIAZ
./ciphers/brute_force_caesar_cipher.py:28:39 - Unknown word (URIAZ) -- using Key #21: YRIJYZC URIAZ
./ciphers/brute_force_caesar_cipher.py:29:31 - Unknown word (XQHIXYB) -- Decryption using Key #22: XQHIXYB TQHZY
./ciphers/brute_force_caesar_cipher.py:29:39 - Unknown word (TQHZY) -- using Key #22: XQHIXYB TQHZY
./ciphers/brute_force_caesar_cipher.py:30:31 - Unknown word (WPGHWXA) -- Decryption using Key #23: WPGHWXA SPGYX
./ciphers/brute_force_caesar_cipher.py:30:39 - Unknown word (SPGYX) -- using Key #23: WPGHWXA SPGYX
./ciphers/brute_force_caesar_cipher.py:31:31 - Unknown word (VOFGVWZ) -- Decryption using Key #24: VOFGVWZ ROFXW
./ciphers/brute_force_caesar_cipher.py:31:39 - Unknown word (ROFXW) -- using Key #24: VOFGVWZ ROFXW
./ciphers/brute_force_caesar_cipher.py:32:31 - Unknown word (UNEFUVY) -- Decryption using Key #25: UNEFUVY QNEWV
./ciphers/brute_force_caesar_cipher.py:32:39 - Unknown word (QNEWV) -- using Key #25: UNEFUVY QNEWV
./ciphers/brute_force_caesar_cipher.py:6:18 - Unknown word (TMDETUX) -- >>> decrypt('TMDETUX PMDVU')
./ciphers/brute_force_caesar_cipher.py:6:26 - Unknown word (PMDVU) -- >> decrypt('TMDETUX PMDVU')
./ciphers/brute_force_caesar_cipher.py:8:30 - Unknown word (SLCDSTW) -- Decryption using Key #1: SLCDSTW OLCUT
./ciphers/brute_force_caesar_cipher.py:8:38 - Unknown word (OLCUT) -- using Key #1: SLCDSTW OLCUT
./ciphers/brute_force_caesar_cipher.py:9:30 - Unknown word (RKBCRSV) -- Decryption using Key #2: RKBCRSV NKBTS
./ciphers/brute_force_caesar_cipher.py:9:38 - Unknown word (NKBTS) -- using Key #2: RKBCRSV NKBTS
./ciphers/caesar_cipher.py:188:30 - Unknown word (IH'N) -- brute_force("jFyuMy xIH'N vLONy zILwy Gy!")[2
./ciphers/caesar_cipher.py:47:33 - Unknown word (Jgnnq) -- final message would be "Jgnnq, ecrvckp"
./ciphers/caesar_cipher.py:47:40 - Unknown word (ecrvckp) -- message would be "Jgnnq, ecrvckp"
./ciphers/caesar_cipher.py:56:11 - Unknown word (Cqks) -- 'bpm yCqks jzwEv nwF rCuxA wDmz
./ciphers/caesar_cipher.py:62:18 - Unknown word (fqumfgjy) -- 'f qtbjwhfxj fqumfgjy'
./ciphers/caesar_cipher.py:62:8 - Unknown word (qtbjwhfxj) -- 'f qtbjwhfxj fqumfgjy'
./ciphers/decrypt_caesar_with_chi_squared.py:112:24 - Unknown word (jhlzhy) -- ... 'dof pz aol jhlzhy jpwoly zv wvwbshy? pa
./ciphers/decrypt_caesar_with_chi_squared.py:112:31 - Unknown word (jpwoly) -- 'dof pz aol jhlzhy jpwoly zv wvwbshy? pa pz avv
./ciphers/decrypt_caesar_with_chi_squared.py:112:41 - Unknown word (wvwbshy) -- aol jhlzhy jpwoly zv wvwbshy? pa pz avv lhzf av jyhjr
./ciphers/decrypt_caesar_with_chi_squared.py:112:60 - Unknown word (lhzf) -- zv wvwbshy? pa pz avv lhzf av jyhjr!'
./ciphers/decrypt_caesar_with_chi_squared.py:112:68 - Unknown word (jyhjr) -- wvwbshy? pa pz avv lhzf av jyhjr!'
./ciphers/decrypt_caesar_with_chi_squared.py:117:42 - Unknown word (crybd) -- caesar_with_chi_squared('crybd cdbsxq')
./ciphers/decrypt_caesar_with_chi_squared.py:117:48 - Unknown word (cdbsxq) -- with_chi_squared('crybd cdbsxq')
./ciphers/decrypt_caesar_with_chi_squared.py:120:42 - Unknown word (Crybd) -- caesar_with_chi_squared('Crybd Cdbsxq', case_sensitive
./ciphers/decrypt_caesar_with_chi_squared.py:120:48 - Unknown word (Cdbsxq) -- with_chi_squared('Crybd Cdbsxq', case_sensitive=True
./ciphers/decrypt_caesar_with_chi_squared.py:200:31 - Unknown word (excepcted) -- # Get the excepcted amount of times the
./ciphers/decrypt_caesar_with_chi_squared.py:56:18 - Unknown word (ifmmp) -- Cipher text: ifmmp
./ciphers/deterministic_miller_rabin.py:1:30 - Unknown word (bizzfitch) -- Created by Nathan Damon, @bizzfitch on github
./ciphers/diffie_hellman.py:1:22 - Unknown word (hexlify) -- from binascii import hexlify
./ciphers/diffie_hellman.py:3:16 - Unknown word (urandom) -- from os import urandom
./ciphers/diffie_hellman.py:5:40 - Unknown word (MODP) -- Modular Exponential (MODP) Diffie-Hellman groups
./ciphers/diffie_hellman.py:5:46 - Unknown word (Diffie) -- Modular Exponential (MODP) Diffie-Hellman groups for
./ciphers/elgamal_key_generator.py:61:21 - Unknown word (elgamal) -- make_key_files("elgamal", 2048)
./ciphers/enigma_machine2.py:106:5 - Unknown word (pbdict) -- pbdict = _plugboard(pb)
./ciphers/enigma_machine2.py:111:16 - Unknown word (pbstring) -- def _plugboard(pbstring: str) -> dict[str, str
./ciphers/enigma_machine2.py:142:5 - Unknown word (tmppbl) -- tmppbl = set()
./ciphers/enigma_machine2.py:185:7 - Unknown word (VKLEPDBGRNWTFCJOHQAMUZYIXS) -- | VKLEPDBGRNWTFCJOHQAMUZYIXS |
./ciphers/enigma_machine2.py:194:7 - Unknown word (ZYXWVUTSRQPON) -- | ZYXWVUTSRQPON | so when E goes in
./ciphers/enigma_machine2.py:203:12 - Unknown word (JUHHI) -- 'KORYH JUHHI!'
./ciphers/enigma_machine2.py:203:6 - Unknown word (KORYH) -- 'KORYH JUHHI!'
./ciphers/enigma_machine2.py:204:24 - Unknown word (juhhi) -- >>> enigma('KORYH, juhhi!', (1, 2, 1), plugb
./ciphers/enigma_machine2.py:207:12 - Unknown word (QWOBU) -- 'FPNCZ QWOBU!'
./ciphers/enigma_machine2.py:207:6 - Unknown word (FPNCZ) -- 'FPNCZ QWOBU!'
./ciphers/enigma_machine2.py:29:11 - Unknown word (EGZWVONAHDCLFQMSIPJBYUKXTR) -- rotor1 = "EGZWVONAHDCLFQMSIPJBYUKXTR"
./ciphers/enigma_machine2.py:30:11 - Unknown word (FOBHMDKEXQNRAULPGSJVTYICZW) -- rotor2 = "FOBHMDKEXQNRAULPGSJVTYICZW"
./ciphers/enigma_machine2.py:31:11 - Unknown word (ZJXESIUQLHAVRMDOYGTNFWPBKC) -- rotor3 = "ZJXESIUQLHAVRMDOYGTNFWPBKC"
./ciphers/enigma_machine2.py:63:11 - Unknown word (RMDJXFUWGISLHVTCQNKYPBEZOA) -- rotor4 = "RMDJXFUWGISLHVTCQNKYPBEZOA"
./ciphers/enigma_machine2.py:64:11 - Unknown word (SGLCPQWZHKXAREONTFBVIYJUDM) -- rotor5 = "SGLCPQWZHKXAREONTFBVIYJUDM"
./ciphers/enigma_machine2.py:65:11 - Unknown word (HVSICLTYKQUBXDWAJZOMFGPREN) -- rotor6 = "HVSICLTYKQUBXDWAJZOMFGPREN"
./ciphers/enigma_machine2.py:66:11 - Unknown word (RZWQHFMVDBKICJLNTUXAGYPSOE) -- rotor7 = "RZWQHFMVDBKICJLNTUXAGYPSOE"
./ciphers/enigma_machine2.py:67:11 - Unknown word (LFKIJODBEGAMQPXVUHYSTCZRWN) -- rotor8 = "LFKIJODBEGAMQPXVUHYSTCZRWN"
./ciphers/enigma_machine2.py:68:11 - Unknown word (KOAEGVDHXPQZMLFTYWJNBRCIUS) -- rotor9 = "KOAEGVDHXPQZMLFTYWJNBRCIUS"
./ciphers/enigma_machine2.py:72:29 - Unknown word (rotsel) -- rotpos: RotorPositionT, rotsel: RotorSelectionT, pb
./ciphers/enigma_machine2.py:82:26 - Unknown word (positon) -- param rotpos: rotor_positon
./ciphers/enigma_machine2.py:84:16 - Unknown word (plugb) -- :param pb: plugb -> validated and transformed
./ciphers/fractionated_morse_cipher.py:106:10 - Unknown word (ESOAVVLJRSSTRX) -- 'ESOAVVLJRSSTRX'
./ciphers/hill_cipher.py:105:10 - Unknown word (TESTINGHILLCIPHERR) -- 'TESTINGHILLCIPHERR'
./ciphers/hill_cipher.py:121:10 - Unknown word (WHXYJOLM) -- 'WHXYJOLM9C6XT085LL'
./ciphers/mixed_keyword_cypher.py:24:6 - Unknown word (XKJGUFMJST) -- 'XKJGUFMJST'
./ciphers/mono_alphabetic_ciphers.py:10:28 - Unknown word (QWERTYUIOPASDFGHJKLZXCVBNM) -- translate_message("QWERTYUIOPASDFGHJKLZXCVBNM","Hello World","encrypt
./ciphers/mono_alphabetic_ciphers.py:11:12 - Unknown word (Bidsm) -- 'Pcssi Bidsm'
./ciphers/mono_alphabetic_ciphers.py:11:6 - Unknown word (Pcssi) -- 'Pcssi Bidsm'
./ciphers/mono_alphabetic_ciphers.py:42:12 - Unknown word (Vgksr) -- 'Itssg Vgksr'
./ciphers/mono_alphabetic_ciphers.py:42:6 - Unknown word (Itssg) -- 'Itssg Vgksr'
./ciphers/playfair_cipher.py:125:17 - Unknown word (BMZFAZRZDH) -- >>> decode("BMZFAZRZDH", "HAZARD")
./ciphers/playfair_cipher.py:127:17 - Unknown word (HNBWBPQT) -- >>> decode("HNBWBPQT", "AUTOMOBILE")
./ciphers/playfair_cipher.py:128:6 - Unknown word (DRIVINGX) -- 'DRIVINGX'
./ciphers/playfair_cipher.py:129:17 - Unknown word (SLYSSAQS) -- >>> decode("SLYSSAQS", "CASTLE")
./ciphers/playfair_cipher.py:130:6 - Unknown word (ATXTACKX) -- 'ATXTACKX'
./ciphers/playfair_cipher.py:159:31 - Unknown word (CXRBANRLBALQ) -- "Decoded:", decode("CXRBANRLBALQ", "GREETING"))
./ciphers/playfair_cipher.py:27:5 - Unknown word (chunker) -- def chunker(seq: Iterable[str],
./ciphers/playfair_cipher.py:5:22 - Unknown word (promotedby) -- It's use was heavily promotedby Lord Playfair, hence
./ciphers/playfair_cipher.py:65:17 - Unknown word (ABCDEFGHIKLMNOPQRSTUVWXYZ) -- alphabet = "ABCDEFGHIKLMNOPQRSTUVWXYZ"
./ciphers/playfair_cipher.py:89:6 - Unknown word (CFSUPM) -- 'CFSUPM'
./ciphers/playfair_cipher.py:91:6 - Unknown word (DQZSBYFSDZFMFNLOHFDRSG) -- 'DQZSBYFSDZFMFNLOHFDRSG'
./ciphers/playfair_cipher.py:93:6 - Unknown word (AVXETX) -- 'AVXETX'
./ciphers/playfair_cipher.py:95:6 - Unknown word (UMBENF) -- 'UMBENF'
./ciphers/playfair_cipher.py:97:6 - Unknown word (OEMHQHVCHESUKE) -- 'OEMHQHVCHESUKE'
./ciphers/porta_cipher.py:10:29 - Unknown word (WXYZNOPQRSTUV) -- ("ABCDEFGHIJKLM", "WXYZNOPQRSTUV"),
./ciphers/porta_cipher.py:12:29 - Unknown word (VWXYZNOPQRSTU) -- ("ABCDEFGHIJKLM", "VWXYZNOPQRSTU"),
./ciphers/porta_cipher.py:14:29 - Unknown word (UVWXYZNOPQRST) -- ("ABCDEFGHIJKLM", "UVWXYZNOPQRST"),
./ciphers/porta_cipher.py:16:29 - Unknown word (TUVWXYZNOPQRS) -- ("ABCDEFGHIJKLM", "TUVWXYZNOPQRS"),
./ciphers/porta_cipher.py:18:29 - Unknown word (STUVWXYZNOPQR) -- ("ABCDEFGHIJKLM", "STUVWXYZNOPQR"),
./ciphers/porta_cipher.py:20:29 - Unknown word (RSTUVWXYZNOPQ) -- ("ABCDEFGHIJKLM", "RSTUVWXYZNOPQ"),
./ciphers/porta_cipher.py:22:29 - Unknown word (QRSTUVWXYZNOP) -- ("ABCDEFGHIJKLM", "QRSTUVWXYZNOP"),
./ciphers/porta_cipher.py:24:29 - Unknown word (PQRSTUVWXYZNO) -- ("ABCDEFGHIJKLM", "PQRSTUVWXYZNO"),
./ciphers/porta_cipher.py:26:29 - Unknown word (OPQRSTUVWXYZN) -- ("ABCDEFGHIJKLM", "OPQRSTUVWXYZN"),
./ciphers/porta_cipher.py:2:29 - Unknown word (NOPQRSTUVWXYZ) -- ("ABCDEFGHIJKLM", "NOPQRSTUVWXYZ"),
./ciphers/porta_cipher.py:44:6 - Unknown word (QRACRWU) -- 'QRACRWU'
./ciphers/porta_cipher.py:4:29 - Unknown word (ZNOPQRSTUVWXY) -- ("ABCDEFGHIJKLM", "ZNOPQRSTUVWXY"),
./ciphers/porta_cipher.py:6:29 - Unknown word (YZNOPQRSTUVWX) -- ("ABCDEFGHIJKLM", "YZNOPQRSTUVWX"),
./ciphers/porta_cipher.py:8:29 - Unknown word (XYZNOPQRSTUVW) -- ("ABCDEFGHIJKLM", "XYZNOPQRSTUVW"),
./ciphers/rabin_miller.py:1:3 - Unknown word (Primality) -- # Primality Testing with the Rabin
./ciphers/rail_fence_cipher.py:11:10 - Unknown word (olordll) -- 'HWe olordll'
./ciphers/rot13.py:8:16 - Unknown word (onax) -- "Zl frperg onax nppbhag ahzore vf 1
./ciphers/rot13.py:8:21 - Unknown word (nppbhag) -- "Zl frperg onax nppbhag ahzore vf 173-52946
./ciphers/rot13.py:8:29 - Unknown word (ahzore) -- frperg onax nppbhag ahzore vf 173-52946 fb qba
./ciphers/rot13.py:8:52 - Unknown word (qba'g) -- ahzore vf 173-52946 fb qba'g gryy nalbar!!"
./ciphers/rot13.py:8:58 - Unknown word (gryy) -- vf 173-52946 fb qba'g gryy nalbar!!"
./ciphers/rot13.py:8:63 - Unknown word (nalbar) -- 52946 fb qba'g gryy nalbar!!"
./ciphers/rot13.py:8:9 - Unknown word (frperg) -- "Zl frperg onax nppbhag ahzore
./ciphers/rsa_factorization.py:16:5 - Unknown word (rsafactor) -- def rsafactor(d: int, e: int, n: int
./ciphers/shuffled_shift_cipher.py:132:44 - Unknown word (Xyqe) -- ShuffledShiftCipher('4PYIXyqeQZr44')
./ciphers/shuffled_shift_cipher.py:66:10 - Unknown word (rtype) -- :rtype: list
./ciphers/shuffled_shift_cipher.py:82:38 - Unknown word (MLKJIHGF) -- shuffled parts: [A,CB,ED,MLKJIHGF,RQPON,ZYXWVUTS]
./ciphers/shuffled_shift_cipher.py:82:47 - Unknown word (RQPON) -- parts: [A,CB,ED,MLKJIHGF,RQPON,ZYXWVUTS]
./ciphers/shuffled_shift_cipher.py:82:53 - Unknown word (ZYXWVUTS) -- CB,ED,MLKJIHGF,RQPON,ZYXWVUTS]
./ciphers/shuffled_shift_cipher.py:83:35 - Unknown word (ACBEDMLKJIHGFRQPONZYXWVUTS) -- shuffled __key_list : ACBEDMLKJIHGFRQPONZYXWVUTS
./ciphers/simple_keyword_cypher.py:11:12 - Unknown word (dups) -- key_no_dups = ""
./ciphers/simple_keyword_cypher.py:50:12 - Unknown word (VMQJB) -- 'CYJJM VMQJB!!'
./ciphers/simple_keyword_cypher.py:50:6 - Unknown word (CYJJM) -- 'CYJJM VMQJB!!'
./ciphers/simple_substitution_cipher.py:36:56 - Unknown word (Harshil) -- LFWOAYUISVKMNXPBDCRJTQEGHZ', 'Harshil Darji')
./ciphers/simple_substitution_cipher.py:36:64 - Unknown word (Darji) -- SVKMNXPBDCRJTQEGHZ', 'Harshil Darji')
./ciphers/simple_substitution_cipher.py:37:14 - Unknown word (Olcvs) -- 'Ilcrism Olcvs'
./ciphers/simple_substitution_cipher.py:37:6 - Unknown word (Ilcrism) -- 'Ilcrism Olcvs'
./ciphers/simple_substitution_cipher.py:9:12 - Unknown word (LFWOAYUISVKMNXPBDCRJTQEGHZ) -- key = "LFWOAYUISVKMNXPBDCRJTQEGHZ"
./ciphers/transposition_cipher.py:28:12 - Unknown word (Dsahrij) -- 'Hlia rDsahrij'
./ciphers/transposition_cipher.py:28:6 - Unknown word (Hlia) -- 'Hlia rDsahrij'
./ciphers/trifid_cipher.py:127:53 - Unknown word (punctuatuions) -- the trifid_cipher. Any punctuatuions that
./ciphers/trifid_cipher.py:139:6 - Unknown word (BCDGBQY) -- 'BCDGBQY'
./ciphers/trifid_cipher.py:145:10 - Unknown word (FELIXMARDSTBCGHJKNOPQUVWYZ) -- ... 'FELIXMARDSTBCGHJKNOPQUVWYZ+',5)
./ciphers/trifid_cipher.py:146:6 - Unknown word (FMJFVOISSUFTFPUFEQQC) -- 'FMJFVOISSUFTFPUFEQQC'
./ciphers/trifid_cipher.py:187:6 - Unknown word (AIDETOILECIELTAIDERA) -- 'AIDETOILECIELTAIDERA'
./ciphers/trifid_cipher.py:208:39 - Unknown word (EPSDUCVWYM) -- encrypt_message(msg, "EPSDUCVWYM.ZLKXNBTFGORIJHAQ")
./ciphers/trifid_cipher.py:208:50 - Unknown word (ZLKXNBTFGORIJHAQ) -- message(msg, "EPSDUCVWYM.ZLKXNBTFGORIJHAQ")
./ciphers/trifid_cipher.py:25:17 - Unknown word (triagram) -- Arrange the triagram value of each letter
./ciphers/trifid_cipher.py:66:42 - Unknown word (triagrams) -- function that generates the triagrams and assigns each letter
./ciphers/trifid_cipher.py:72:22 - Unknown word (IAMABOY) -- >>> expected = ('IAMABOY','ABCDEFGHIJKLMNOPQRSTUVWXYZ
./ciphers/trifid_cipher.py:84:54 - Unknown word (Vwxyzzwwtyyujjgfd) -- abCdeFghijkLmnopqrStuVwxyzzwwtyyujjgfd')
./ciphers/vernam_cipher.py:1:5 - Unknown word (vernam) -- def vernam_encrypt(plaintext: str
./ciphers/vernam_cipher.py:4:6 - Unknown word (RIJVS) -- 'RIJVS'
./ciphers/vigenere_cipher.py:22:63 - Unknown word (Dharmaj) -- is Harshil Darji from Dharmaj.')
./ciphers/vigenere_cipher.py:23:14 - Unknown word (Odrjqqs) -- 'Akij ra Odrjqqs Gaisq muod Mphumrs.
./ciphers/vigenere_cipher.py:23:22 - Unknown word (Gaisq) -- 'Akij ra Odrjqqs Gaisq muod Mphumrs.'
./ciphers/vigenere_cipher.py:23:28 - Unknown word (muod) -- Akij ra Odrjqqs Gaisq muod Mphumrs.'
./ciphers/vigenere_cipher.py:23:33 - Unknown word (Mphumrs) -- ra Odrjqqs Gaisq muod Mphumrs.'
./ciphers/vigenere_cipher.py:23:6 - Unknown word (Akij) -- 'Akij ra Odrjqqs Gaisq muod
./ciphers/xor_cipher.py:115:16 - Unknown word (vdmu) -- 'i`mmn!vdmu'
./ciphers/xor_cipher.py:201:66 - Unknown word (fout) -- encrypt.out", "w+") as fout:
./compression/burrows_wheeler.py:31:31 - Unknown word (ANANA) -- BANANA|', 'BANANA|^', 'ANANA|^B', 'NANA|^BA', 'ANA
./compression/burrows_wheeler.py:31:43 - Unknown word (NANA) -- BANANA|^', 'ANANA|^B', 'NANA|^BA', 'ANA|^BAN', 'NA
./compression/burrows_wheeler.py:31:71 - Unknown word (BANA) -- BA', 'ANA|^BAN', 'NA|^BANA',
./compression/burrows_wheeler.py:32:9 - Unknown word (BANAN) -- 'A|^BANAN', '|^BANANA']
./compression/burrows_wheeler.py:34:32 - Unknown word (casaa) -- asa_da_casa', '_asa_da_casaa', 'asa_da_casaa_',
./compression/burrows_wheeler.py:36:40 - Unknown word (asaa) -- , 'casaa_asa_da_', 'asaa_asa_da_c', 'saa_asa
./compression/burrows_wheeler.py:39:39 - Unknown word (namabananapa) -- namabanana', 'anamabananap', 'namabananapa', 'amabananapan',
./compression/burrows_wheeler.py:40:22 - Unknown word (abananapanam) -- 'mabananapana', 'abananapanam', 'bananapanama', 'ananapanam
./compression/burrows_wheeler.py:41:54 - Unknown word (apanamabanan) -- apanamaban', 'napanamabana', 'apanamabanan']
./compression/burrows_wheeler.py:41:6 - Unknown word (nanapanamaba) -- 'nanapanamaba', 'anapanamaban', 'napanamaba
./compression/burrows_wheeler.py:65:21 - Unknown word (aaaadss) -- {'bwt_string': 'aaaadss_c__aa', 'idx_original
./compression/burrows_wheeler.py:67:21 - Unknown word (mnpbnnaaaaaa) -- {'bwt_string': 'mnpbnnaaaaaa', 'idx_original_string
./compression/lempel_ziv_decompress.py:2:43 - Unknown word (Lempel) -- several implementations of Lempel–Ziv–Welch decompression
./compression/lz77.py:150:55 - Unknown word (abrarrarrad) -- find_encoding_token("abrarrarrad", "abracad").offset
./compression/lz77.py:150:70 - Unknown word (abracad) -- token("abrarrarrad", "abracad").offset
./compression/lz77.py:152:55 - Unknown word (adabrarrarrad) -- find_encoding_token("adabrarrarrad", "cabrac").length
./compression/lz77.py:152:72 - Unknown word (cabrac) -- token("adabrarrarrad", "cabrac").length
./compression/lz77.py:201:59 - Unknown word (rarrad) -- match_length_from_index("rarrad", "adabrar", 0, 4)
./compression/lz77.py:201:69 - Unknown word (adabrar) -- from_index("rarrad", "adabrar", 0, 4)
./compression/lz77.py:22:2 - Unknown word (cabracadabrarrarrad) -- "cabracadabrarrarrad" <-> [(0, 0, 'c'),
./compression/lz77.py:24:2 - Unknown word (ababcbababaa) -- "ababcbababaa" <-> [(0, 0, 'a'),
./compression/lz77.py:25:2 - Unknown word (aacaacabcabaaac) -- "aacaacabcabaaac" <-> [(0, 0, 'a'),
./compression/lz77.py:35:21 - Unknown word (Harcekova) -- __author__ = "Lucia Harcekova"
./compression/lz77.py:5:53 - Unknown word (LZSS) -- variations including LZW, LZSS, LZMA and others
./compression/peak_signal_to_noise_ratio.py:28:20 - Unknown word (imread) -- original = cv2.imread(os.path.join(dir_path
./compression/peak_signal_to_noise_ratio.py:2:30 - Unknown word (PSNR) -- signal-to-noise ratio - PSNR
./compression/run_length_encoding.py:13:28 - Unknown word (AAADDDDDDFFFCCCAAVVVV) -- run_length_encode("AAADDDDDDFFFCCCAAVVVV")
./compression/run_length_encoding.py:7:28 - Unknown word (AAAABBBCCDAA) -- run_length_encode("AAAABBBCCDAA")
./computer_vision/flip_augmentation.py:26:16 - Unknown word (annos) -- img_paths, annos = get_dataset(LABEL
./computer_vision/flip_augmentation.py:35:13 - Unknown word (imwrite) -- cv2.imwrite(f"{file_root}.jpg",
./computer_vision/flip_augmentation.py:35:53 - Unknown word (IMWRITE) -- root}.jpg", image, [cv2.IMWRITE_JPEG_QUALITY, 85])
./computer_vision/flip_augmentation.py:86:32 - Unknown word (narray) -- new_imgs_list <type: narray>: image after resize
./computer_vision/haralick_descriptors.py:143:38 - Unknown word (convolotion) -- image when applying convolotion
./computer_vision/haralick_descriptors.py:255:5 - Unknown word (haralick) -- def haralick_descriptors(matrix:
./computer_vision/haralick_descriptors.py:256:25 - Unknown word (Haralick) -- """Calculates all 8 Haralick descriptors based on
./computer_vision/haralick_descriptors.py:25:58 - Unknown word (dtype) -- 55.0, data_type: np.dtype = np.uint8
./computer_vision/haralick_descriptors.py:279:14 - Unknown word (ogrid) -- # but np.ogrid works just fine
./computer_vision/haralick_descriptors.py:410:46 - Unknown word (Harralick) -- masks and correspondent Harralick Descriptors.
./computer_vision/haralick_descriptors.py:48:23 - Unknown word (astype) -- return normalized.astype(data_type)
./computer_vision/haralick_descriptors.py:5:8 - Unknown word (imageio) -- import imageio.v2 as imageio
./computer_vision/haralick_descriptors.py:87:5 - Unknown word (binarize) -- def binarize(image: np.ndarray, threshold
./computer_vision/haralick_descriptors.py:89:5 - Unknown word (Binarizes) -- Binarizes a grayscale image based
./computer_vision/harris_corner.py:14:23 - Unknown word (neighbourhoods) -- window_size : neighbourhoods considered
./computer_vision/horn_schunck.py:15:12 - Unknown word (ndimage) -- from scipy.ndimage import convolve
./computer_vision/horn_schunck.py:2:14 - Unknown word (Schunck) -- The Horn-Schunck method estimates the
./computer_vision/horn_schunck.py:45:24 - Unknown word (arange) -- np.meshgrid(np.arange(0, image.shape[1]),
./computer_vision/horn_schunck.py:61:10 - Unknown word (schunck) -- def horn_schunck(
./computer_vision/mosaic_augmentation.py:110:5 - Unknown word (divid) -- divid_point_x = int(scale
./computer_vision/mosaic_augmentation.py:29:9 - Unknown word (idxs) -- idxs = random.sample(range
./conversions/astronomical_length_scale_conversion.py:25:6 - Unknown word (gigametre) -- "gigametre": "Gm",
./conversions/astronomical_length_scale_conversion.py:26:6 - Unknown word (terametre) -- "terametre": "Tm",
./conversions/astronomical_length_scale_conversion.py:27:6 - Unknown word (petametre) -- "petametre": "Pm",
./conversions/astronomical_length_scale_conversion.py:28:6 - Unknown word (exametre) -- "exametre": "Em",
./conversions/astronomical_length_scale_conversion.py:29:6 - Unknown word (zettametre) -- "zettametre": "Zm",
./conversions/astronomical_length_scale_conversion.py:30:6 - Unknown word (yottametre) -- "yottametre": "Ym",
./conversions/astronomical_length_scale_conversion.py:4:30 - Unknown word (Gigametre) -- Kilometre, Megametre, Gigametre,
./conversions/astronomical_length_scale_conversion.py:5:1 - Unknown word (Terametre) -- Terametre, Petametre, Exametre
./conversions/astronomical_length_scale_conversion.py:5:12 - Unknown word (Petametre) -- Terametre, Petametre, Exametre, Zettametre
./conversions/astronomical_length_scale_conversion.py:5:23 - Unknown word (Exametre) -- Terametre, Petametre, Exametre, Zettametre, Yottametre
./conversions/astronomical_length_scale_conversion.py:5:33 - Unknown word (Zettametre) -- Petametre, Exametre, Zettametre, Yottametre
./conversions/astronomical_length_scale_conversion.py:5:45 - Unknown word (Yottametre) -- Exametre, Zettametre, Yottametre
./conversions/binary_to_hexadecimal.py:40:7 - Unknown word (Sanitising) -- # Sanitising parameter
./conversions/energy_conversions.py:5:64 - Unknown word (nutr) -- newtonmeter, calorie_nutr,\
./conversions/length_conversion.py:39:6 - Unknown word (inche) -- "inche": "in", # Trailing
./conversions/molecular_chemistry.py:10:27 - Unknown word (nfactor) -- molarity_to_normality(nfactor: int, moles: float,
./conversions/octal_to_binary.py:2:11 - Unknown word (Bama) -- * Author: Bama Charan Chhandogi (https
./conversions/octal_to_binary.py:2:23 - Unknown word (Chhandogi) -- Author: Bama Charan Chhandogi (https://github.com
./conversions/prefix_conversions_string.py:22:5 - Unknown word (yotta) -- yotta = 80
./conversions/prefix_conversions_string.py:23:5 - Unknown word (zetta) -- zetta = 70
./conversions/prefix_conversions_string.py:25:5 - Unknown word (peta) -- peta = 50
./conversions/prefix_conversions_string.py:27:5 - Unknown word (giga) -- giga = 30
./conversions/prefix_conversions_string.py:2:21 - Unknown word (Lullo) -- * Author: Manuel Di Lullo (https://github.com
./conversions/prefix_conversions_string.py:42:5 - Unknown word (hecto) -- hecto = 2
./conversions/prefix_conversions_string.py:43:5 - Unknown word (deca) -- deca = 1
./conversions/prefix_conversions_string.py:44:5 - Unknown word (deci) -- deci = -1
./conversions/prefix_conversions_string.py:45:5 - Unknown word (centi) -- centi = -2
./conversions/prefix_conversions_string.py:46:5 - Unknown word (milli) -- milli = -3
./conversions/prefix_conversions_string.py:49:5 - Unknown word (pico) -- pico = -12
./conversions/prefix_conversions_string.py:50:5 - Unknown word (femto) -- femto = -15
./conversions/prefix_conversions_string.py:51:5 - Unknown word (atto) -- atto = -18
./conversions/prefix_conversions_string.py:52:5 - Unknown word (zepto) -- zepto = -21
./conversions/prefix_conversions_string.py:53:5 - Unknown word (yocto) -- yocto = -24
./conversions/prefix_conversions_string.py:5:67 - Unknown word (pyles) -- repository by lance-pyles
./conversions/roman_numerals.py:24:29 - Unknown word (CLIV) -- tests = {"III": 3, "CLIV": 154, "MIX": 1009,
./conversions/roman_numerals.py:24:68 - Unknown word (MMMCMXCIX) -- 1009, "MMD": 2500, "MMMCMXCIX": 3999}
./conversions/temperature_conversions.py:306:5 - Unknown word (reaumur) -- def reaumur_to_kelvin(reaumur: float
./conversions/temperature_conversions.py:4:43 - Unknown word (ndigits) -- fahrenheit(celsius: float, ndigits: int = 2) -> float:
./conversions/weight_conversion.py:4:15 - Unknown word (Anubhav) -- __author__ = "Anubhav Solanki"
./conversions/weight_conversion.py:4:23 - Unknown word (Solanki) -- author__ = "Anubhav Solanki"
./data_structures/arrays/sparse_table.py:8:32 - Unknown word (nlogn) -- Overall time complexity: O(nlogn)
./data_structures/arrays/sudoku_solver.py:139:31 - Unknown word (showif) -- all(grids, name="", showif=0.0):
./data_structures/arrays/sudoku_solver.py:91:9 - Unknown word (dplaces) -- dplaces = [s for s in u if d
./data_structures/binary_tree/avl_tree.py:240:9 - Unknown word (Ltree) -- class AVLtree:
./data_structures/binary_tree/avl_tree.py:293:26 - Unknown word (traversale) -- -> str: # a level traversale, gives a more intuitive
./data_structures/binary_tree/binary_search_tree_recursive.py:235:9 - Unknown word (inorder) -- def inorder_traversal(self) -> Iterator
./data_structures/binary_tree/binary_search_tree_recursive.py:602:12 - Unknown word (Inorder) -- print("Inorder traversal:", inorder
./data_structures/binary_tree/flatten_binarytree_to_linkedlist.py:10:9 - Unknown word (Arunkumar) -- Author: Arunkumar A
./data_structures/binary_tree/inorder_tree_traversal_2022.py:3:9 - Unknown word (Gurneet) -- Author: Gurneet Singh
./data_structures/binary_tree/lazy_segment_tree.py:128:5 - Unknown word (segt) -- segt = SegmentTree(size)
./data_structures/binary_tree/red_black_tree.py:710:5 - Unknown word (pytests) -- def pytests() -> None:
./data_structures/binary_tree/treap.py:124:14 - Unknown word (treap) -- def interact_treap(root: Node | None, args
./data_structures/binary_tree/treap.py:8:5 - Unknown word (Treap's) -- Treap's node
./data_structures/binary_tree/treap.py:9:5 - Unknown word (Treap) -- Treap is a binary tree by
./data_structures/binary_tree/wavelet_tree.py:18:14 - Unknown word (maxx) -- self.maxx: int = -1
./data_structures/disjoint_set/alternate_disjoint_set.py:54:26 - Unknown word (disj) -- def get_parent(self, disj_set: int) -> int:
./data_structures/hashing/hash_map.py:7:32 - Unknown word (Hettinger) -- Dictionaries by Raymond Hettinger
./data_structures/hashing/tests/test_hash_map.py:56:52 - Unknown word (upsize) -- range(5)], # guaranteed upsize
./data_structures/heap/binomial_heap.py:177:19 - Unknown word (Neighbouring) -- # Neighbouring Nodes
./data_structures/heap/binomial_heap.py:325:11 - Unknown word (Neighbour) -- # Neighbour nodes
./data_structures/heap/binomial_heap.py:52:64 - Unknown word (logn) -- elements: Guaranteed logn, amoratized 1
./data_structures/heap/binomial_heap.py:52:70 - Unknown word (amoratized) -- elements: Guaranteed logn, amoratized 1
./data_structures/heap/binomial_heap.py:53:56 - Unknown word (logm) -- size m and n: O(logn + logm)
./data_structures/linked_list/deque_doubly.py:103:8 - Unknown word (Equeu) -- # DEqueu Remove Operations (At
./data_structures/linked_list/from_sequence.py:1:13 - Unknown word (Prorgam) -- # Recursive Prorgam to create a Linked List
./data_structures/linked_list/singly_linked_list.py:420:10 - Unknown word (dlrow) -- "dlrow olleH",
./data_structures/linked_list/singly_linked_list.py:420:16 - Unknown word (olle) -- "dlrow olleH",
./data_structures/linked_list/skip_list.py:371:17 - Unknown word (doesnt) -- def test_delete_doesnt_leave_dead_nodes():
./data_structures/queue/double_ended_queue.py:244:18 - Unknown word (topop) -- @returns topop.val: the value of the
./data_structures/stacks/dijkstras_two_stack_algorithm.py:39:5 - Unknown word (dijkstras) -- def dijkstras_two_stack_algorithm
./data_structures/stacks/dijkstras_two_stack_algorithm.py:3:20 - Unknown word (echoaj) -- GitHub: github.com/echoaj
./data_structures/stacks/infix_to_postfix_conversion.py:19:1 - Unknown word (ASSOCIATIVITIES) -- ASSOCIATIVITIES: dict[str, Literal[
./data_structures/trie/radix_tree.py:27:24 - Unknown word (myprefix) -- >>> RadixNode("myprefix").match("mystring")
./digital_image_processing/change_brightness.py:25:9 - Unknown word (brigt) -- brigt_img = change_brightness
./digital_image_processing/convert_to_negative.py:2:36 - Unknown word (opencv) -- mplemented an algorithm using opencv to convert a colored
./digital_image_processing/edge_detection/canny.py:12:15 - Unknown word (mgrid) -- x, y = np.mgrid[0 - center : k_size
./digital_image_processing/edge_detection/canny.py:5:39 - Unknown word (sobel) -- image_processing.filters.sobel_filter import sobel
./digital_image_processing/filters/gabor_filter.py:14:24 - Unknown word (Gabor) -- of Gabor function.
./digital_image_processing/filters/gabor_filter.py:1:25 - Unknown word (Gaborfilter) -- Implementation of the Gaborfilter
./digital_image_processing/filters/gabor_filter.py:7:5 - Unknown word (gabor) -- def gabor_filter_kernel(
./digital_image_processing/filters/gabor_filter.py:8:41 - Unknown word (lambd) -- sigma: int, theta: int, lambd: int, gamma: int, psi
./digital_image_processing/filters/gabor_filter.py:8:5 - Unknown word (ksize) -- ksize: int, sigma: int, theta
./digital_image_processing/filters/laplacian_filter.py:1:14 - Unknown word (ojas) -- # @Author : ojas-wani
./digital_image_processing/filters/laplacian_filter.py:1:19 - Unknown word (wani) -- # @Author : ojas-wani
./digital_image_processing/filters/local_binary_pattern.py:29:39 - Unknown word (patternof) -- of the local binary patternof the pixel
./digital_image_processing/filters/local_binary_pattern.py:66:61 - Unknown word (IMREAD) -- data/lena.jpg", cv2.IMREAD_GRAYSCALE
./digital_image_processing/histogram_equalization/histogram_stretch.py:4:10 - Unknown word (Binish) -- @author: Binish125
./digital_image_processing/index_calculation.py:108:18 - Unknown word (matricies) -- self.set_matricies(red=red, green=green
./digital_image_processing/index_calculation.py:131:9 - Unknown word (funcs) -- funcs = {
./digital_image_processing/index_calculation.py:133:26 - Unknown word (ccci) -- "CCCI": self.ccci,
./digital_image_processing/index_calculation.py:136:26 - Unknown word (ndvi) -- "NDVI": self.ndvi,
./digital_image_processing/index_calculation.py:137:27 - Unknown word (bndvi) -- "BNDVI": self.bndvi,
./digital_image_processing/index_calculation.py:139:27 - Unknown word (gndvi) -- "GNDVI": self.gndvi,
./digital_image_processing/index_calculation.py:140:28 - Unknown word (gbndvi) -- "GBNDVI": self.gbndvi,
./digital_image_processing/index_calculation.py:141:28 - Unknown word (grndvi) -- "GRNDVI": self.grndvi,
./digital_image_processing/index_calculation.py:142:28 - Unknown word (rbndvi) -- "RBNDVI": self.rbndvi,
./digital_image_processing/index_calculation.py:143:27 - Unknown word (pndvi) -- "PNDVI": self.pndvi,
./digital_image_processing/index_calculation.py:145:28 - Unknown word (bwdrvi) -- "BWDRVI": self.bwdrvi,
./digital_image_processing/index_calculation.py:149:26 - Unknown word (ctvi) -- "CTVI": self.ctvi,
./digital_image_processing/index_calculation.py:150:26 - Unknown word (gdvi) -- "GDVI": self.gdvi,
./digital_image_processing/index_calculation.py:152:26 - Unknown word (gemi) -- "GEMI": self.gemi,
./digital_image_processing/index_calculation.py:153:28 - Unknown word (gosavi) -- "GOSAVI": self.gosavi,
./digital_image_processing/index_calculation.py:154:27 - Unknown word (gsavi) -- "GSAVI": self.gsavi,
./digital_image_processing/index_calculation.py:157:26 - Unknown word (ipvi) -- "IPVI": self.ipvi,
./digital_image_processing/index_calculation.py:160:26 - Unknown word (mrvi) -- "MRVI": self.mrvi,
./digital_image_processing/index_calculation.py:161:29 - Unknown word (savi) -- "MSAVI": self.m_savi,
./digital_image_processing/index_calculation.py:165:27 - Unknown word (ngrdi) -- "NGRDI": self.ngrdi,
./digital_image_processing/index_calculation.py:171:26 - Unknown word (ndre) -- "NDRE": self.ndre,
./digital_image_processing/index_calculation.py:1:11 - Unknown word (João) -- # Author: João Gustavo A. Amorim
./digital_image_processing/index_calculation.py:1:27 - Unknown word (Amorim) -- Author: João Gustavo A. Amorim
./digital_image_processing/index_calculation.py:220:34 - Unknown word (CDVI) -- Index, Calibrated NDVI - CDVI
./digital_image_processing/index_calculation.py:47:15 - Unknown word (ARVI) -- #"ARVI2" -- red
./digital_image_processing/index_calculation.py:48:15 - Unknown word (CCCI) -- #"CCCI" -- red
./digital_image_processing/index_calculation.py:51:15 - Unknown word (NDVI) -- #"NDVI" -- red
./digital_image_processing/index_calculation.py:52:15 - Unknown word (BNDVI) -- #"BNDVI" -- blue
./digital_image_processing/index_calculation.py:54:15 - Unknown word (GNDVI) -- #"GNDVI" -- green
./digital_image_processing/index_calculation.py:55:15 - Unknown word (GBNDVI) -- #"GBNDVI" -- green
./digital_image_processing/index_calculation.py:564:18 - Unknown word (maxprec) -- floatmode='maxprec_equal'))
./digital_image_processing/index_calculation.py:56:15 - Unknown word (GRNDVI) -- #"GRNDVI" -- red,
./digital_image_processing/index_calculation.py:57:15 - Unknown word (RBNDVI) -- #"RBNDVI" -- red,
./digital_image_processing/index_calculation.py:58:15 - Unknown word (PNDVI) -- #"PNDVI" -- red
./digital_image_processing/index_calculation.py:60:15 - Unknown word (BWDRVI) -- #"BWDRVI" -- blue
./digital_image_processing/index_calculation.py:64:15 - Unknown word (CTVI) -- #"CTVI" -- red
./digital_image_processing/index_calculation.py:65:15 - Unknown word (GDVI) -- #"GDVI" -- green
./digital_image_processing/index_calculation.py:67:15 - Unknown word (GEMI) -- #"GEMI" -- red
./digital_image_processing/index_calculation.py:68:15 - Unknown word (GOSAVI) -- #"GOSAVI" -- green
./digital_image_processing/index_calculation.py:69:15 - Unknown word (GSAVI) -- #"GSAVI" -- green
./digital_image_processing/index_calculation.py:72:15 - Unknown word (IPVI) -- #"IPVI" -- red
./digital_image_processing/index_calculation.py:75:15 - Unknown word (MRVI) -- #"MRVI" -- red
./digital_image_processing/index_calculation.py:76:15 - Unknown word (MSAVI) -- #"MSAVI" -- red
./digital_image_processing/index_calculation.py:80:15 - Unknown word (NGRDI) -- #"NGRDI" -- red
./digital_image_processing/index_calculation.py:86:15 - Unknown word (NDRE) -- #"NDRE" -- redEdge
./divide_and_conquer/closest_pair_of_points.py:112:44 - Unknown word (Xcoords) -- contains the points, whose Xcoords are at a
./divide_and_conquer/closest_pair_of_points.py:113:45 - Unknown word (Xcoord) -- pair_dis) from mid's Xcoord
./divide_and_conquer/closest_pair_of_points.py:5:36 - Unknown word (ords) -- sorted based on Xco-ords and
./divide_and_conquer/convex_hull.py:409:17 - Unknown word (melkman) -- def convex_hull_melkman(points: list[Point]
./divide_and_conquer/max_subarray.py:69:5 - Unknown word (summ) -- summ: int | float = 0
./divide_and_conquer/strassen_matrix_multiplication.py:74:12 - Unknown word (strassen) -- def actual_strassen(matrix_a: list, matrix
./dynamic_programming/all_construct.py:15:34 - Unknown word (purp) -- construct("purple",["purp","p","ur","le","purpl
./dynamic_programming/all_construct.py:15:55 - Unknown word (purpl) -- purp","p","ur","le","purpl"])
./dynamic_programming/all_construct.py:51:26 - Unknown word (jwajalapa) -- print(all_construct("jwajalapa", ["jwa", "j", "w",
./dynamic_programming/all_construct.py:51:68 - Unknown word (lapa) -- j", "w", "a", "la", "lapa"]))
./dynamic_programming/all_construct.py:55:14 - Unknown word (hexagonosaurus) -- "hexagonosaurus",
./dynamic_programming/all_construct.py:56:52 - Unknown word (auru) -- "ag", "ago", "ru", "auru", "rus", "go", "no"
./dynamic_programming/catalan_numbers.py:7:20 - Unknown word (Dyck) -- * - The number of Dyck words of length 2n
./dynamic_programming/climbing_stairs.py:6:9 - Unknown word (Cdoe) -- LeetCdoe No.70: Climbing Stairs
./dynamic_programming/edit_distance.py:2:11 - Unknown word (Turfa) -- Author : Turfa Auliarachman
./dynamic_programming/edit_distance.py:2:17 - Unknown word (Auliarachman) -- Author : Turfa Auliarachman
./dynamic_programming/iterating_through_submasks.py:2:10 - Unknown word (Syed) -- Author : Syed Faizan (3rd Year Student
./dynamic_programming/iterating_through_submasks.py:2:15 - Unknown word (Faizan) -- Author : Syed Faizan (3rd Year Student IIIT
./dynamic_programming/iterating_through_submasks.py:2:40 - Unknown word (IIIT) -- Faizan (3rd Year Student IIIT Pune)
./dynamic_programming/iterating_through_submasks.py:3:10 - Unknown word (faizan) -- github : faizan2700
./dynamic_programming/longest_common_subsequence.py:68:10 - Unknown word (AGGTAB) -- a = "AGGTAB"
./dynamic_programming/longest_common_subsequence.py:69:10 - Unknown word (GXTXAYB) -- b = "GXTXAYB"
./dynamic_programming/longest_common_subsequence.py:71:24 - Unknown word (GTAB) -- expected_subseq = "GTAB"
./dynamic_programming/longest_common_substring.py:27:35 - Unknown word (abcdxyz) -- longest_common_substring("abcdxyz", "xyzabcd")
./dynamic_programming/longest_common_substring.py:27:46 - Unknown word (xyzabcd) -- substring("abcdxyz", "xyzabcd")
./dynamic_programming/longest_common_substring.py:29:35 - Unknown word (zxabcdezy) -- longest_common_substring("zxabcdezy", "yzabcdezx")
./dynamic_programming/longest_common_substring.py:29:48 - Unknown word (yzabcdezx) -- substring("zxabcdezy", "yzabcdezx")
./dynamic_programming/longest_common_substring.py:30:6 - Unknown word (abcdez) -- 'abcdez'
./dynamic_programming/longest_common_substring.py:5:24 - Unknown word (xabded) -- Example: "abcdef" and "xabded" have two longest common
./dynamic_programming/longest_increasing_subsequence.py:2:11 - Unknown word (Mehdi) -- Author : Mehdi ALAOUI
./dynamic_programming/longest_increasing_subsequence_o(nlogn).py:2:11 - Unknown word (Aravind) -- # Author: Aravind Kashyap
./dynamic_programming/longest_increasing_subsequence_o(nlogn).py:2:19 - Unknown word (Kashyap) -- # Author: Aravind Kashyap
./dynamic_programming/longest_palindromic_subsequence.py:16:42 - Unknown word (bbabcbcab) -- palindromic_subsequence("bbabcbcab")
./dynamic_programming/longest_palindromic_subsequence.py:2:9 - Unknown word (Sanket) -- author: Sanket Kittad
./dynamic_programming/longest_palindromic_subsequence.py:4:13 - Unknown word (bbbab) -- Input: s = "bbbab"
./dynamic_programming/matrix_chain_multiplication.py:49:32 - Unknown word (multiplcations) -- the minimum number of multiplcations required to multiply
./dynamic_programming/matrix_chain_multiplication.py:74:7 - Unknown word (initialising) -- # initialising 2D dp matrix
./dynamic_programming/matrix_chain_order.py:32:11 - Unknown word (optiomal) -- def print_optiomal_solution(optimal_solution
./dynamic_programming/max_subarray_sum.py:7:1 - Unknown word (Kadane's) -- Kadane's algorithm is a simple
./dynamic_programming/min_distance_up_bottom.py:22:33 - Unknown word (zooicoarchaeologist) -- distance_up_bottom("zooicoarchaeologist", "zoologist")
./dynamic_programming/optimal_binary_search_tree.py:100:5 - Unknown word (freqs) -- freqs = [nodes[i].freq for
./dynamic_programming/optimal_binary_search_tree.py:72:22 - Unknown word (CLRS) -- Implemented from CLRS (Introduction to Algorithms
./dynamic_programming/smith_waterman.py:189:14 - Unknown word (HEAGAWGHEE) -- query = "HEAGAWGHEE"
./dynamic_programming/smith_waterman.py:190:16 - Unknown word (PAWHEAE) -- subject = "PAWHEAE"
./dynamic_programming/smith_waterman.py:50:25 - Unknown word (ACAC) -- >>> smith_waterman('ACAC', 'CA')
./dynamic_programming/smith_waterman.py:52:25 - Unknown word (acac) -- >>> smith_waterman('acac', 'ca')
./dynamic_programming/smith_waterman.py:95:32 - Unknown word (AGTCT) -- smith_waterman('AGT', 'AGTCT')
./dynamic_programming/tribonacci.py:4:5 - Unknown word (tribonacci) -- def tribonacci(num: int) -> list[int
./dynamic_programming/viterbi.py:15:5 - Unknown word (sdafads) -- sdafads
./dynamic_programming/viterbi.py:4:5 - Unknown word (viterbi) -- def viterbi(
./dynamic_programming/wildcard_matching.py:2:11 - Unknown word (ilyas) -- Author : ilyas dahhou
./dynamic_programming/wildcard_matching.py:2:17 - Unknown word (dahhou) -- Author : ilyas dahhou
./dynamic_programming/wildcard_matching.py:41:19 - Unknown word (baaabab) -- >>> is_match('baaabab','*****ba*****ba')
./electronics/charging_capacitor.py:1:16 - Unknown word (ARRL) -- # source - The ARRL Handbook for Radio Communicat
./electronics/circular_convolution.py:7:69 - Unknown word (DTFT) -- time Fourier transform (DTFT).
./electronics/circular_convolution.py:9:20 - Unknown word (DTFTs) -- convolution of the DTFTs of the individual sequences
./electronics/coulombs_law.py:23:29 - Unknown word (mémoire) -- Coulomb (1785) "Premier mémoire sur l’électricité et
./electronics/coulombs_law.py:23:41 - Unknown word (l’électricité) -- Premier mémoire sur l’électricité et le magnétisme,"
./electronics/coulombs_law.py:23:61 - Unknown word (magnétisme) -- l’électricité et le magnétisme,"
./electronics/coulombs_law.py:24:17 - Unknown word (l’Académie) -- Histoire de l’Académie Royale des Sciences
./electronics/coulombs_law.py:24:5 - Unknown word (Histoire) -- Histoire de l’Académie Royale
./electronics/coulombs_law.py:8:5 - Unknown word (couloumbs) -- def couloumbs_law(
./electronics/ic_555_timer.py:4:53 - Unknown word (astable) -- or duty cycle of an astable 555 timer.
./electronics/resistor_color_code.py:360:9 - Unknown word (resisitance) -- resisitance = significant_digits
./electronics/resistor_color_code.py:47:17 - Unknown word (Coeffecient) -- Temperature Coeffecient - Indicates the change
./electronics/resistor_color_code.py:50:51 - Unknown word (coeffecient) -- associated with Temperature coeffecient -
./electronics/resonant_frequency.py:19:43 - Unknown word (capacitnace) -- value of inductance and capacitnace.
./file_transfer/send_file.py:1:32 - Unknown word (mytext) -- file(filename: str = "mytext.txt", testing: bool
./file_transfer/tests/test_send_file.py:18:13 - Unknown word (ensurance) -- # ===== ensurance =====
./fractals/julia_sets.py:14:33 - Unknown word (ambiantly) -- exponential map Julia set, ambiantly homeomorphic to the
./fractals/julia_sets.py:14:43 - Unknown word (homeomorphic) -- Julia set, ambiantly homeomorphic to the examples in
./fractals/julia_sets.py:1:24 - Unknown word (Zotti) -- Author Alexandre De Zotti
./fractals/sierpinski_triangle.py:13:38 - Unknown word (Wacław) -- Polish mathematician Wacław Sierpiński, but appeared
./fractals/sierpinski_triangle.py:2:55 - Unknown word (anuragkumarak) -- uragkumarak95@gmail.com | git/anuragkumarak95
./fractals/sierpinski_triangle.py:6:13 - Unknown word (Sierpiński) -- What is the Sierpiński Triangle?
./fuzzy_logic/fuzzy_operations.py:2:5 - Unknown word (Shreya) -- By @Shreya123714
./fuzzy_logic/fuzzy_operations.py:31:27 - Unknown word (Sheru) -- > sheru = FuzzySet("Sheru", 0.4, 1, 0.6)
./fuzzy_logic/fuzzy_operations.py:31:9 - Unknown word (sheru) -- >>> sheru = FuzzySet("Sheru",
./fuzzy_logic/fuzzy_operations.py:37:26 - Unknown word (Siya) -- >> siya = FuzzySet("Siya", 0.5, 1, 0.7)
./fuzzy_logic/fuzzy_operations.py:37:9 - Unknown word (siya) -- >>> siya = FuzzySet("Siya",
./genetic_algorithm/basic_string.py:178:10 - Unknown word (nopqrstuvwxyz) -- "nopqrstuvwxyz.,;!?+-*#@^'èéòà€ù=)
./genetic_algorithm/basic_string.py:178:35 - Unknown word (èéòà) -- nopqrstuvwxyz.,;!?+-*#@^'èéòà€ù=)(&%$£/\\"
./genetic_algorithm/basic_string.py:28:19 - Unknown word (Helxo) -- >>> evaluate("Helxo Worlx", "Hello World
./genetic_algorithm/basic_string.py:28:25 - Unknown word (Worlx) -- >>> evaluate("Helxo Worlx", "Hello World")
./genetic_algorithm/basic_string.py:5:11 - Unknown word (rkia) -- Author: D4rkia
./geodesy/lamberts_ellipsoidal_distance.py:68:39 - Unknown word (Pcos) -- sin(sigma)) * sin^2Pcos^2Q / cos^2(sigma/2)
./geodesy/lamberts_ellipsoidal_distance.py:70:7 - Unknown word (demonimator) -- x_demonimator = cos(sigma / 2) **
./geodesy/lamberts_ellipsoidal_distance.py:74:39 - Unknown word (Psin) -- sin(sigma)) * cos^2Psin^2Q / sin^2(sigma/2)
./graphics/bezier_curve.py:49:9 - Unknown word (bezier) -- def bezier_curve_function(self
./graphics/vector3_for_2d_rendering.py:10:15 - Unknown word (xcodz) -- __author__ = "xcodz-dot, cclaus, dhruvmanila
./graphics/vector3_for_2d_rendering.py:10:26 - Unknown word (cclaus) -- author__ = "xcodz-dot, cclaus, dhruvmanila"
./graphics/vector3_for_2d_rendering.py:10:34 - Unknown word (dhruvmanila) -- "xcodz-dot, cclaus, dhruvmanila"
./graphs/basic_graphs.py:130:5 - Unknown word (dijk) -- def dijk(g, s):
./graphs/basic_graphs.py:157:5 - Unknown word (topo) -- def topo(g, ind=None, q=None
./graphs/basic_graphs.py:187:5 - Unknown word (adjm) -- def adjm():
./graphs/basic_graphs.py:227:5 - Unknown word (floy) -- def floy(a_and_n):
./graphs/basic_graphs.py:281:5 - Unknown word (edglist) -- def edglist():
./graphs/basic_graphs.py:310:5 - Unknown word (Kruskal's) -- Kruskal's MST Algorithm
./graphs/basic_graphs.py:318:5 - Unknown word (krusk) -- def krusk(e_and_n):
./graphs/bi_directional_dijkstra.py:11:11 - Unknown word (Swayam) -- # Author: Swayam Singh (https://github
./graphs/bidirectional_a_star.py:256:5 - Unknown word (bidir) -- bidir_astar = BidirectionalAStar
./graphs/bidirectional_a_star.py:79:9 - Unknown word (astar) -- >>> astar = AStar((0, 0), (len
./graphs/boruvka.py:1:4 - Unknown word (Borůvka's) -- """Borůvka's algorithm.
./graphs/boruvka.py:82:9 - Unknown word (boruvka) -- def boruvka(self) -> None:
./graphs/breadth_first_search.py:15:49 - Unknown word (graaph) -- list representation of graaph
./graphs/breadth_first_search.py:3:13 - Unknown word (OMKAR) -- """ Author: OMKAR PATHAK """
./graphs/breadth_first_search.py:3:19 - Unknown word (PATHAK) -- """ Author: OMKAR PATHAK """
./graphs/connected_components.py:24:15 - Unknown word (verts) -- connected_verts = []
./graphs/dijkstra_2.py:11:14 - Unknown word (mdist) -- def min_dist(mdist, vset, v):
./graphs/dijkstra_2.py:11:21 - Unknown word (vset) -- def min_dist(mdist, vset, v):
./graphs/dijkstra_2.py:57:5 - Unknown word (gsrc) -- gsrc = int(input("\nEnter
./graphs/dijkstra_algorithm.py:218:33 - Unknown word (atmost) -- assuming the new_d is atmost old_d
./graphs/dijkstra_algorithm.py:2:11 - Unknown word (Shubham) -- # Author: Shubham Malik
./graphs/dijkstra_algorithm.py:2:19 - Unknown word (Malik) -- # Author: Shubham Malik
./graphs/dinic.py:17:33 - Unknown word (rcap) -- edge(self, a, b, c, rcap=0):
./graphs/dinic.py:87:20 - Unknown word (verices) -- Finally we add the verices near the sink to the
./graphs/edmonds_karp_multiple_source_and_sink.py:63:14 - Unknown word (verticies) -- self.verticies_count = flow_network
./graphs/g_topological_sort.py:1:11 - Unknown word (Phyllipe) -- # Author: Phyllipe Bezerra (https://github
./graphs/g_topological_sort.py:1:20 - Unknown word (Bezerra) -- # Author: Phyllipe Bezerra (https://github.com
./graphs/gale_shapley_bigraph.py:10:5 - Unknown word (oegan) -- oegan donors and recipients
./graphs/gale_shapley_bigraph.py:16:56 - Unknown word (Numberphile) -- v=Qcv1IqHWAzg&t=13s (Numberphile YouTube).
./graphs/graph_adjacency_list.py:3:16 - Unknown word (Nithyanandam) -- Author: Vikram Nithyanandam
./graphs/graph_adjacency_list.py:3:9 - Unknown word (Vikram) -- Author: Vikram Nithyanandam
./graphs/graph_adjacency_list.py:46:11 - Unknown word (Falsey) -- # Falsey checks
./graphs/graph_list.py:3:25 - Unknown word (Nwachukwu) -- Author: OMKAR PATHAK, Nwachukwu Chidiebere
./graphs/graph_list.py:3:35 - Unknown word (Chidiebere) -- OMKAR PATHAK, Nwachukwu Chidiebere
./graphs/greedy_min_vertex_cover.py:3:16 - Unknown word (Approximization) -- * Description: Approximization algorithm for minimum
./graphs/kahns_algorithm_long.py:3:5 - Unknown word (indegree) -- indegree = [0] * len(graph)
./graphs/karger.py:2:22 - Unknown word (Karger's) -- An implementation of Karger's Algorithm for partitioning
./graphs/karger.py:34:40 - Unknown word (adacency) -- dictionary containing adacency lists for the graph
./graphs/minimum_spanning_tree_boruvka.py:103:41 - Unknown word (Boruvka's) -- set Union and Find for Boruvka's algorithm
./graphs/minimum_spanning_tree_boruvka.py:37:13 - Unknown word (Boruvks's) -- For Boruvks's algorithm the weights
./graphs/minimum_spanning_tree_boruvka.py:70:9 - Unknown word (Returna) -- Returna all edges in the graph
./graphs/minimum_spanning_tree_kruskal.py:1:5 - Unknown word (kruskal) -- def kruskal(
./graphs/minimum_spanning_tree_prims2.py:2:23 - Unknown word (Jarník's) -- Prim's (also known as Jarník's) algorithm is a greedy
./graphs/multi_heuristic_astar.py:137:16 - Unknown word (inad) -- close_list_inad,
./graphs/multi_heuristic_astar.py:141:9 - Unknown word (itera) -- for itera in range(n_heuristic
./graphs/multi_heuristic_astar.py:47:17 - Unknown word (prito) -- for prito, yyy in temp:
./graphs/scc_kosaraju.py:24:5 - Unknown word (kosaraju) -- def kosaraju():
./graphs/strongly_connected_components.py:41:36 - Unknown word (strongliy) -- first search to find strongliy connected
./graphs/tarjans_scc.py:16:42 - Unknown word (equireachable) -- we save it and it's equireachable vertices as a strongly
./hashes/README.md:14:159 - Unknown word (cleartext) -- size of the plaintext/cleartext. Other algorithms in
./hashes/README.md:17:200 - Unknown word (IMEI) -- credit card numbers, IMEI numbers, and Canadian
./hashes/README.md:17:297 - Unknown word (LUHN) -- mathematicians developed the LUHN formula in the late
./hashes/README.md:7:113 - Unknown word (Rivest) -- algorithm made by Ray Rivest that is known to suffer
./hashes/chaos_machine.py:45:32 - Unknown word (Marsaglia) -- (Xorshift by George Marsaglia)
./hashes/chaos_machine.py:45:7 - Unknown word (PRNG) -- # PRNG (Xorshift by George
./hashes/hamming_code.py:1:44 - Unknown word (Kunz) -- A. Amorim & Gabriel Kunz
./hashes/hamming_code.py:24:67 - Unknown word (Pari) -- many parity bits (sizePari)
./hashes/hamming_code.py:268:5 - Unknown word (Receiv) -- dataReceiv, ack = receptorConverter
./hashes/luhn.py:5:8 - Unknown word (luhn) -- def is_luhn(string: str) -> bool
./hashes/md5.py:30:38 - Unknown word (abcdfghijklmnopqrstuvw) -- little_endian(b'1234567890abcdfghijklmnopqrstuvw')
./hashes/md5.py:318:54 - Unknown word (Üñîçø) -- letters.encode("utf-8"), "Üñîçø∂é".encode("utf-8"),
./hashes/md5.py:31:25 - Unknown word (abcdfg) -- b'pqrstuvwhijklmno90abcdfg12345678'
./hashes/md5.py:31:7 - Unknown word (pqrstuvwhijklmno) -- b'pqrstuvwhijklmno90abcdfg12345678'
./hashes/sdbm.py:2:36 - Unknown word (sdbm) -- algorithm was created for sdbm (a public-domain reimplementa
./hashes/sdbm.py:2:58 - Unknown word (reimplementation) -- sdbm (a public-domain reimplementation of ndbm)
./hashes/sha256.py:1:14 - Unknown word (Yathurshan) -- # Author: M. Yathurshan
./knapsack/README.md:13:190 - Unknown word (Dantzig) -- mathematician Tobias Dantzig (1884–1956), and refers
./knapsack/README.md:20:72 - Unknown word (CLASSNAME) -- vector)`, and `help(CLASSNAME.METHODNAME)`.
./knapsack/README.md:20:82 - Unknown word (METHODNAME) -- and `help(CLASSNAME.METHODNAME)`.
./knapsack/tests/test_knapsack.py:4:21 - Unknown word (Schröder) -- @author: Dr. Tobias Schröder
./linear_algebra/README.md:20:40 - Unknown word (eulidean) -- length() : returns the eulidean length of the vector
./linear_algebra/README.md:31:12 - Unknown word (axpy) -- - function axpy(scalar, vector1, vector
./linear_algebra/src/conjugate_gradient.py:129:25 - Unknown word (Krylov) -- # Calculate new Krylov subspace scale.
./linear_algebra/src/conjugate_gradient.py:131:27 - Unknown word (conjuage) -- # Calculate new A conjuage search direction.
./linear_algebra/src/conjugate_gradient.py:39:27 - Unknown word (eignevectors) -- Get eigenvalues and eignevectors for a symmetric matrix
./linear_algebra/src/conjugate_gradient.py:40:33 - Unknown word (eigh) -- values, _ = np.linalg.eigh(matrix)
./linear_algebra/src/conjugate_gradient.py:63:31 - Unknown word (randn) -- random_matrix = np.random.randn(dimension, dimension
./linear_algebra/src/gaussian_elimination_pivoting/gaussian_elimination_pivoting.py:95:21 - Unknown word (loadtxt) -- matrix = np.loadtxt(file_path)
./linear_algebra/src/lib.py:253:9 - Unknown word (cofactor) -- cofactor(x: int, y: int): returns
./linear_algebra/src/power_iteration.py:45:15 - Unknown word (iscomplexobj) -- assert np.iscomplexobj(input_matrix) == np
./linear_algebra/src/power_iteration.py:91:22 - Unknown word (triu) -- imag_matrix = np.triu(1j * complex_input_matrix
./linear_algebra/src/schur_complement.py:21:45 - Unknown word (Vandenberghe) -- Optimization – Boyd and Vandenberghe, A.5.5
./linear_algebra/src/test_linear_algebra.py:149:9 - Unknown word (cofactors) -- cofactors = [[-3, 14, -10], [
./linear_programming/simplex.py:136:29 - Unknown word (nans) -- # Array filled with nans
./linear_programming/simplex.py:167:18 - Unknown word (coeff) -- for idx, coeff in enumerate(self.tableau
./linear_programming/simplex.py:257:25 - Unknown word (minimisation) -- # Non standard: minimisation and equalities
./linear_programming/simplex.py:325:21 - Unknown word (rowidx) -- nonzero_rowidx = nonzero[0][0]
./machine_learning/apriori_algorithm.py:58:5 - Unknown word (apriori) -- def apriori(data: list[list[str
./machine_learning/astar.py:60:13 - Unknown word (neigbours) -- def get_neigbours(self, cell):
./machine_learning/astar.py:64:9 - Unknown word (neughbour) -- neughbour_cord = [
./machine_learning/automatic_differentiation.py:271:17 - Unknown word (dparam) -- dparam_doutput = self.derivative
./machine_learning/automatic_differentiation.py:271:24 - Unknown word (doutput) -- dparam_doutput = self.derivative(param
./machine_learning/automatic_differentiation.py:272:24 - Unknown word (dtarget) -- dparam_dtarget = dparam_doutput * partial
./machine_learning/decision_tree.py:202:32 - Unknown word (squarred) -- doctest.testmod(name="mean_squarred_error", verbose=True
./machine_learning/decision_tree.py:39:19 - Unknown word (ndim) -- if labels.ndim != 1:
./machine_learning/dimensionality_reduction.py:1:29 - Unknown word (Gasco) -- Copyright (c) 2023 Diego Gasco (diego.gasco99@gmail
./machine_learning/dimensionality_reduction.py:1:62 - Unknown word (Diegomangasco) -- gasco99@gmail.com), Diegomangasco on GitHub
./machine_learning/forecasting/run.py:24:44 - Unknown word (mtch) -- train_usr: list, train_mtch: list, test_dt: list
./machine_learning/forecasting/run.py:45:45 - Unknown word (exog) -- data (total_user, with exog data = total_event)
./machine_learning/forecasting/run.py:57:27 - Unknown word (disp) -- model_fit = model.fit(disp=False, maxiter=600,
./machine_learning/frequent_pattern_growth.py:319:14 - Unknown word (patt) -- cond_patt_bases = find_prefix
./machine_learning/gradient_descent.py:122:13 - Unknown word (rtol) -- rtol=relative_error_limit
./machine_learning/k_means_clust.py:15:8 - Unknown word (kmeans) -- to kmeans func.
./machine_learning/k_means_clust.py:229:31 - Unknown word (fillna) -- predicted = predicted.fillna(value=fill_missing_report
./machine_learning/k_means_clust.py:231:37 - Unknown word (dtypes) -- cols = predicted.select_dtypes(np.number).columns
./machine_learning/k_means_clust.py:279:21 - Unknown word (iloc) -- clustersize.iloc[:, 2:].to_numpy() /
./machine_learning/k_means_clust.py:307:41 - Unknown word (isin) -- report["Features"].isin(clustering_variables
./machine_learning/k_means_clust.py:52:16 - Unknown word (CLUST) -- TAG = "K-MEANS-CLUST/ "
./machine_learning/linear_regression.py:7:56 - Unknown word (CSGO) -- particular code, I had used a CSGO dataset (ADR vs
./machine_learning/local_weighted_learning/local_weighted_learning.py:151:10 - Unknown word (preds) -- def plot_preds(
./machine_learning/local_weighted_learning/local_weighted_learning.py:7:14 - Unknown word (XᵀWy) -- β = (XᵀWX)⁻¹(XᵀWy),
./machine_learning/local_weighted_learning/local_weighted_learning.py:7:6 - Unknown word (XᵀWX) -- β = (XᵀWX)⁻¹(XᵀWy),
./machine_learning/logistic_regression.py:154:5 - Unknown word (probs) -- probs = predict_prob(grid
./machine_learning/loss_functions.py:159:57 - Unknown word (CFCE) -- focal cross-entropy (CFCE) loss between true
./machine_learning/loss_functions.py:246:5 - Unknown word (cfce) -- cfce_loss = -np.sum(
./machine_learning/loss_functions.py:256:43 - Unknown word (SVMs) -- support vector machines (SVMs).
./machine_learning/loss_functions.py:405:51 - Unknown word (MSLE) -- squared logarithmic error (MSLE) between ground truth
./machine_learning/loss_functions.py:50:52 - Unknown word (BFCE) -- focal cross-entropy (BFCE) loss between true labels
./machine_learning/loss_functions.py:57:5 - Unknown word (BCFE) -- BCFE = -Σ(alpha * (1 - y
./machine_learning/loss_functions.py:85:5 - Unknown word (bcfe) -- bcfe_loss = -(
./machine_learning/mfcc.py:124:41 - Unknown word (Hanning) -- simplicity we will choose the Hanning window.
./machine_learning/mfcc.py:125:26 - Unknown word (hann) -- window = get_window("hann", ftt_size, fftbins
./machine_learning/mfcc.py:125:43 - Unknown word (fftbins) -- window("hann", ftt_size, fftbins=True)
./machine_learning/mfcc.py:147:14 - Unknown word (coefficents) -- cepstral_coefficents = np.dot(dct_filters
./machine_learning/mfcc.py:292:17 - Unknown word (mels) -- def mel_to_freq(mels: float) -> float:
./machine_learning/mfcc.py:2:15 - Unknown word (Cepstral) -- Mel Frequency Cepstral Coefficients (MFCC)
./machine_learning/mfcc.py:2:38 - Unknown word (MFCC) -- Cepstral Coefficients (MFCC) Calculation
./machine_learning/mfcc.py:347:5 - Unknown word (enorm) -- enorm = 2.0 / (mel_freqs[
./machine_learning/mfcc.py:412:5 - Unknown word (fmin) -- fmin_mel = freq_to_mel(freq
./machine_learning/mfcc.py:413:5 - Unknown word (fmax) -- fmax_mel = freq_to_mel(freq
./machine_learning/mfcc.py:436:39 - Unknown word (fbank) -- num: The number of the fbank filters.
./machine_learning/mfcc.py:467:26 - Unknown word (wavfile) -- from scipy.io import wavfile
./machine_learning/mfcc.py:49:40 - Unknown word (MFCCs) -- Cepstral Coefficients (MFCCs):
./machine_learning/mfcc.py:51:44 - Unknown word (Jurafsky) -- Processing by Daniel Jurafsky & James H. Martin:
./machine_learning/mfcc.py:55:24 - Unknown word (cepstral) -- guide-mel-frequency-cepstral-coefficients-mfccs/
./machine_learning/mfcc.py:55:46 - Unknown word (mfccs) -- cepstral-coefficients-mfccs/
./machine_learning/mfcc.py:57:14 - Unknown word (Lavasani) -- Author: Amir Lavasani
./machine_learning/mfcc.py:64:14 - Unknown word (fftpack) -- import scipy.fftpack as fft
./machine_learning/mfcc.py:70:5 - Unknown word (mfcc) -- def mfcc(
./machine_learning/multilayer_perceptron_classifier.py:8:13 - Unknown word (lbfgs) -- solver="lbfgs", alpha=1e-5, hidden
./machine_learning/polynomial_regression.py:135:13 - Unknown word (coefs) -- >>> coefs = np.array([-250, 5
./machine_learning/polynomial_regression.py:149:21 - Unknown word (pinv) -- # np.linalg.pinv() computes the Moore
./machine_learning/polynomial_regression.py:28:7 - Unknown word (UΣVᵀ) -- where UΣVᵀ is an SVD of X.
./machine_learning/polynomial_regression.py:5:29 - Unknown word (βₘxᵐ) -- β₁x + β₂x² + ... + βₘxᵐ + ε
./machine_learning/scoring_functions.py:133:5 - Unknown word (denumerator) -- denumerator = np.sum(actual) / len
./machine_learning/scoring_functions.py:4:21 - Unknown word (RMSLE) -- MAE, MSE, RMSE, RMSLE are included.
./machine_learning/scoring_functions.py:84:5 - Unknown word (rmsle) -- def rmsle(predict, actual):
./machine_learning/sequential_minimum_optimization.py:226:9 - Unknown word (locis) -- locis = yield from self._choose
./machine_learning/sequential_minimum_optimization.py:236:16 - Unknown word (voilate) -- voilate kkt condition.
./machine_learning/sequential_minimum_optimization.py:378:7 - Unknown word (Normalise) -- # Normalise data using min_max way
./machine_learning/sequential_minimum_optimization.py:459:62 - Unknown word (MSIE) -- Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)"},
./machine_learning/sequential_minimum_optimization.py:46:30 - Unknown word (wdbc) -- breast-cancer-wisconsin/wdbc.data"
./machine_learning/sequential_minimum_optimization.py:470:17 - Unknown word (dropna) -- data = data.dropna(axis=0)
./machine_learning/sequential_minimum_optimization.py:479:5 - Unknown word (mykernel) -- mykernel = Kernel(kernel="rbf
./machine_learning/sequential_minimum_optimization.py:483:5 - Unknown word (mysvm) -- mysvm = SmoSVM(
./machine_learning/sequential_minimum_optimization.py:533:21 - Unknown word (hstack) -- train_data = np.hstack((train_y.reshape(50
./machine_learning/sequential_minimum_optimization.py:571:78 - Unknown word (desity) -- distributed points with high desity and
./machine_learning/sequential_minimum_optimization.py:580:5 - Unknown word (yrange) -- yrange = np.linspace(train
./machine_learning/sequential_minimum_optimization.py:592:12 - Unknown word (asmatrix) -- np.asmatrix(grid).T,
./machine_learning/support_vector_machines.py:74:15 - Unknown word (sklear) -- # sklear: def_gamma = 1/(n_features
./machine_learning/xgboost_classifier.py:27:44 - Unknown word (gbtree) -- score=0.5, booster='gbtree', callbacks=None,
./machine_learning/xgboost_classifier.py:28:29 - Unknown word (bylevel) -- colsample_bylevel=1, colsample_bynode
./machine_learning/xgboost_classifier.py:28:50 - Unknown word (bynode) -- bylevel=1, colsample_bynode=1, colsample_bytree
./machine_learning/xgboost_classifier.py:28:70 - Unknown word (bytree) -- bynode=1, colsample_bytree=1,
./machine_learning/xgboost_classifier.py:7:6 - Unknown word (xgboost) -- from xgboost import XGBClassifier
./maths/addition_without_arithmetic.py:3:9 - Unknown word (suraj) -- Author: suraj Kumar
./maths/area.py:583:13 - Unknown word (Reqular) -- print(f"Reqular Pentagon: {area_reg
./maths/bailey_borwein_plouffe.py:1:12 - Unknown word (borwein) -- def bailey_borwein_plouffe(digit_position
./maths/bailey_borwein_plouffe.py:1:20 - Unknown word (plouffe) -- def bailey_borwein_plouffe(digit_position: int
./maths/binary_multiplication.py:19:9 - Unknown word (chinmoy) -- @author chinmoy159
./maths/chebyshev_distance.py:1:5 - Unknown word (chebyshev) -- def chebyshev_distance(point_a: list
./maths/check_polygon.py:26:17 - Unknown word (Monogons) -- ValueError: Monogons and Digons are not polygons
./maths/check_polygon.py:26:30 - Unknown word (Digons) -- ValueError: Monogons and Digons are not polygons in
./maths/chudnovsky_algorithm.py:12:28 - Unknown word (multinomial) -- = constant_term / ((multinomial_term * linear_term)
./maths/chudnovsky_algorithm.py:44:18 - Unknown word (prec) -- getcontext().prec = precision
./maths/collatz_sequence.py:20:5 - Unknown word (collatz) -- def collatz_sequence(n: int) ->
./maths/collatz_sequence.py:8:62 - Unknown word (Ulam) -- 3n + 1 problem, the Ulam conjecture, Kakutani
./maths/collatz_sequence.py:8:79 - Unknown word (Kakutani's) -- the Ulam conjecture, Kakutani's
./maths/collatz_sequence.py:9:14 - Unknown word (Thwaites) -- problem, the Thwaites conjecture, Hasse's
./maths/dual_number_automatic_differentiation.py:58:20 - Unknown word (jtem) -- for j, jtem in enumerate(other.duals
./maths/entropy.py:27:27 - Unknown word (telescreen) -- . "from the telescreen was still "
./maths/entropy.py:28:35 - Unknown word (overfulfilment) -- "babbling and the overfulfilment")
./maths/eulers_totient.py:19:5 - Unknown word (totients) -- totients = [i - 1 for i in range
./maths/eulers_totient.py:2:5 - Unknown word (totient) -- def totient(n: int) -> list:
./maths/extended_euclidean_algorithm.py:13:24 - Unknown word (pikulet) -- Last modified by: pikulet
./maths/extended_euclidean_algorithm.py:5:41 - Unknown word (Bezout's) -- bn = gcd(m, n) (a.k.a Bezout's Identity)
./maths/factors.py:16:5 - Unknown word (facs) -- facs: list[int] = []
./maths/fibonacci.py:181:29 - Unknown word (recursuive) -- Cache must be outside recursuive function
./maths/fibonacci.py:196:9 - Unknown word (binet) -- def fib_binet(n: int) -> list[int
./maths/fibonacci.py:6:42 - Unknown word (Binet) -- function because the Binet formula function uses
./maths/gcd_of_n_numbers.py:100:5 - Unknown word (mult) -- mult = 1
./maths/jaccard_similarity.py:17:5 - Unknown word (jaccard) -- def jaccard_similarity(
./maths/jaccard_similarity.py:8:38 - Unknown word (MMDS) -- of Massive Datasets [MMDS 2nd Edition, Chapter
./maths/juggler_sequence.py:11:12 - Unknown word (Akshay) -- # Author : Akshay Dubey (https://github
./maths/juggler_sequence.py:11:19 - Unknown word (Dubey) -- # Author : Akshay Dubey (https://github.com
./maths/largest_of_very_large_numbers.py:1:11 - Unknown word (Abhijeeth) -- # Author: Abhijeeth S
./maths/liouville_lambda.py:14:5 - Unknown word (liouville) -- def liouville_lambda(number: int)
./maths/lucas_lehmer_primality_test.py:16:11 - Unknown word (lehmer) -- def lucas_lehmer_test(p: int) -> bool
./maths/lucas_lehmer_primality_test.py:2:58 - Unknown word (primality) -- Lehmer test (LLT) is a primality test for Mersenne
./maths/lucas_lehmer_primality_test.py:2:77 - Unknown word (Mersenne) -- a primality test for Mersenne
./maths/maclaurin_series.py:7:5 - Unknown word (maclaurin) -- def maclaurin_sin(theta: float, accuracy
./maths/manhattan_distance.py:3:5 - Unknown word (Expectts) -- Expectts two list of numbers
./maths/minkowski_distance.py:1:5 - Unknown word (minkowski) -- def minkowski_distance(
./maths/mobius_function.py:12:5 - Unknown word (mobius) -- def mobius(n: int) -> int:
./maths/modular_division.py:12:55 - Unknown word (modn) -- 0≤x≤n−1, and b/a=x(modn) (that is, b=ax(modn
./maths/monte_carlo.py:2:10 - Unknown word (Matteo) -- @author: MatteoRaso
./maths/monte_carlo.py:2:16 - Unknown word (Raso) -- @author: MatteoRaso
./maths/numerical_analysis/adams_bashforth.py:5:10 - Unknown word (Ravi) -- Author : Ravi Kumar
./maths/numerical_analysis/integration_by_simpson_approx.py:29:19 - Unknown word (fxdx) -- 1. integration of fxdx with limit a to b is
./maths/numerical_analysis/newton_forward_interpolation.py:8:5 - Unknown word (ucal) -- def ucal(u: float, p: int) -
./maths/numerical_analysis/newton_raphson.py:34:12 - Unknown word (raphson) -- def newton_raphson(
./maths/numerical_analysis/runge_kutta_fehlberg_45.py:10:11 - Unknown word (kutta) -- def runge_kutta_fehlberg_45(
./maths/numerical_analysis/runge_kutta_fehlberg_45.py:10:17 - Unknown word (fehlberg) -- def runge_kutta_fehlberg_45(
./maths/numerical_analysis/runge_kutta_fehlberg_45.py:10:5 - Unknown word (runge) -- def runge_kutta_fehlberg_45(
./maths/numerical_analysis/secant_method.py:3:9 - Unknown word (dimgrichr) -- Author: dimgrichr
./maths/primelib.py:101:14 - Unknown word (erathostenes) -- sieve of erathostenes.
./maths/primelib.py:680:74 - Unknown word (Divisiors) -- Error in function getDivisiors(...)"
./maths/qr_decomposition.py:21:18 - Unknown word (BLAS) -- version from BLAS should be used.
./maths/radix2_fft.py:114:9 - Unknown word (inverce) -- inverce_c = [[dft_a[i] * dft
./maths/radix2_fft.py:5:8 - Unknown word (mpmath) -- import mpmath # for roots of unity
./maths/radix2_fft.py:88:14 - Unknown word (ncol) -- next_ncol = self.c_max_length
./maths/sieve_of_eratosthenes.py:10:25 - Unknown word (Simas) -- doctest provider: Bruno Simas Hadlich (https://github
./maths/sieve_of_eratosthenes.py:10:31 - Unknown word (Hadlich) -- provider: Bruno Simas Hadlich (https://github.com
./maths/sieve_of_eratosthenes.py:11:16 - Unknown word (Dmitry) -- Also thanks to Dmitry (https://github.com
./maths/signum.py:6:5 - Unknown word (signum) -- def signum(num: float) -> int:
./maths/softmax.py:6:8 - Unknown word (exponentials) -- to the exponentials of the input numbers
./maths/solovay_strassen_primality_test.py:65:5 - Unknown word (solovay) -- def solovay_strassen(number: int
./maths/special_numbers/harshad_numbers.py:2:3 - Unknown word (harshad) -- A harshad number (or more specifically
./maths/special_numbers/krishnamurthy_number.py:26:5 - Unknown word (krishnamurthy) -- def krishnamurthy(number: int) -> bool
./maths/special_numbers/krishnamurthy_number.py:45:51 - Unknown word (Krisnamurthy) -- whether a number is a Krisnamurthy Number or not.")
./maths/special_numbers/polygonal_numbers.py:3:33 - Unknown word (gonal) -- the `num`th `sides`-gonal number. It is assumed
./maths/special_numbers/pronic_number.py:13:8 - Unknown word (pronic) -- def is_pronic(number: int) -> bool
./maths/special_numbers/pronic_number.py:3:28 - Unknown word (Proic) -- number n is said to be a Proic number if
./maths/special_numbers/proth_number.py:10:5 - Unknown word (proth) -- def proth(number: int) -> int
./maths/two_sum.py:36:9 - Unknown word (compl) -- compl = target - val
./maths/zellers_congruence.py:5:5 - Unknown word (zeller) -- def zeller(date_input: str) ->
./matrix/inverse_of_matrix.py:91:57 - Unknown word (Sarrus) -- of the matrix using Sarrus rule
./matrix/largest_square_area_in_matrix.py:46:44 - Unknown word (approch) -- area_in_matrix_top_down_approch(
./matrix/matrix_class.py:39:23 - Unknown word (Cofactors) -- Identity, Minors, Cofactors and Adjugate are returned
./matrix/matrix_class.py:39:37 - Unknown word (Adjugate) -- Minors, Cofactors and Adjugate are returned as Matrices
./matrix/matrix_class.py:54:22 - Unknown word (adjugate) -- >>> print(matrix.adjugate())
./matrix/matrix_multiplication_recursion.py:10:46 - Unknown word (currenttly) -- list[int]] # psf/black currenttly fails on this line
./matrix/matrix_multiplication_recursion.py:178:5 - Unknown word (mytimeit) -- mytimeit = partial(timeit, globals
./matrix/pascal_triangle.py:3:13 - Unknown word (havingva) -- The element havingva row index of r and column
./matrix/sherman_morrison.py:214:13 - Unknown word (ainv) -- >>> ainv = Matrix(3, 3, 0)
./matrix/sherman_morrison.py:59:33 - Unknown word (indicies) -- method Matrix.validate_indicies>
./matrix/spiral_print.py:56:11 - Unknown word (horizotal) -- # horizotal printing increasing
./matrix/tests/test_matrix_operation.py:18:40 - Unknown word (matop) -- matrix_operation as matop
./matrix/tests/test_matrix_operation.py:46:9 - Unknown word (theo) -- theo = matop.add(mat1, mat
./networking_flow/ford_fulkerson.py:57:10 - Unknown word (fulkerson) -- def ford_fulkerson(graph: list, source
./neural_network/2_hidden_layers_neural_network.py:101:46 - Unknown word (sogmoid) -- using derivative of sogmoid activation function
./neural_network/2_hidden_layers_neural_network.py:101:9 - Unknown word (Updation) -- Updation is done using derivative
./neural_network/activation_functions/gaussian_error_linear_unit.py:36:9 - Unknown word (gelu) -- gelu_vec (np.ndarray): The
./neural_network/activation_functions/gaussian_error_linear_unit.py:6:29 - Unknown word (GELU) -- Gaussian Error Linear Unit (GELU) is a high-performing
./neural_network/activation_functions/mish.py:13:5 - Unknown word (mish) -- def mish(vector: np.ndarray)
./neural_network/activation_functions/rectified_linear_unit.py:17:5 - Unknown word (relu) -- def relu(vector: list[float]
./neural_network/activation_functions/scaled_exponential_linear_unit.py:2:50 - Unknown word (SELU) -- Exponential Linear Unit or SELU function.
./neural_network/activation_functions/soboleva_modified_hyperbolic_tangent.py:15:5 - Unknown word (soboleva) -- def soboleva_modified_hyperbolic
./neural_network/activation_functions/soboleva_modified_hyperbolic_tangent.py:29:54 - Unknown word (SMHT) -- array after applying SMHT function
./neural_network/back_propagation_neural_network.py:124:28 - Unknown word (ydata) -- def train(self, xdata, ydata, train_round, accuracy
./neural_network/back_propagation_neural_network.py:128:22 - Unknown word (hlines) -- self.ax_loss.hlines(self.accuracy, 0, self
./neural_network/back_propagation_neural_network.py:67:35 - Unknown word (xdata) -- forward_propagation(self, xdata):
./neural_network/back_propagation_neural_network.py:97:7 - Unknown word (BPNN) -- class BPNN:
./neural_network/convolution_neural_network.py:107:31 - Unknown word (convs) -- convolute(self, data, convs, w_convs, thre_convs
./neural_network/convolution_neural_network.py:211:25 - Unknown word (datas) -- self, patterns, datas_train, datas_teach,
./neural_network/convolution_neural_network.py:227:35 - Unknown word (conved) -- data_focus1, data_conved1 = self.convolute(
./neural_network/convolution_neural_network.py:297:13 - Unknown word (yplot) -- yplot = [error_accuracy for
./neural_network/convolution_neural_network.py:305:43 - Unknown word (Complished) -- -----------Training Complished--------------------
./neural_network/convolution_neural_network.py:42:19 - Unknown word (thre) -- self.rate_thre = rate_t
./other/bankers_algorithm.py:4:13 - Unknown word (Biney) -- # "Author: "Biney Kingsley (bluedistro
./other/bankers_algorithm.py:78:27 - Unknown word (alloc) -- max_claim[i][j] - alloc_table[i][j] <= avail
./other/davis_putnam_logemann_loveland.py:153:21 - Unknown word (uncomplemented) -- A symbol is the uncomplemented form of a literal.
./other/davis_putnam_logemann_loveland.py:276:5 - Unknown word (dpll) -- def dpll_algorithm(
./other/davis_putnam_logemann_loveland.py:4:33 - Unknown word (DPLL) -- Putnam–Logemann–Loveland (DPLL) algorithm is a complete
./other/davis_putnam_logemann_loveland.py:5:35 - Unknown word (satisfiability) -- algorithm for deciding the satisfiability of propositional logic
./other/davis_putnam_logemann_loveland.py:6:73 - Unknown word (Tisfiability) -- Conjunctive Normal Form SATisfiability
./other/doomsday.py:42:5 - Unknown word (centurian) -- centurian = year % 100
./other/gauss_easter.py:24:5 - Unknown word (metonic) -- metonic_cycle = year % 19
./other/graham_scan.py:119:5 - Unknown word (minidx) -- minidx = 0
./other/graham_scan.py:28:55 - Unknown word (miny) -- int, int], minx: int, miny: int) -> float:
./other/greedy.py:45:18 - Unknown word (Sambhar) -- ... "Sambhar", "Chicken", "Fries
./other/password.py:47:19 - Unknown word (generalised) -- # random is a generalised function for letters
./other/password.py:72:29 - Unknown word (Hwea) -- is_strong_password('Hwea7$2!')
./other/password.py:78:38 - Unknown word (udfhiaf) -- strong_password('Hello1238udfhiaf038fajdvjjf!jaiuFhkqi
./other/password.py:78:48 - Unknown word (fajdvjjf) -- 'Hello1238udfhiaf038fajdvjjf!jaiuFhkqi1')
./other/password.py:78:57 - Unknown word (jaiu) -- 8udfhiaf038fajdvjjf!jaiuFhkqi1')
./other/password.py:78:61 - Unknown word (Fhkqi) -- udfhiaf038fajdvjjf!jaiuFhkqi1')
./other/scoring_algorithm.py:2:15 - Unknown word (markmelnic) -- developed by: markmelnic
./other/scoring_algorithm.py:49:9 - Unknown word (dlist) -- for dlist, weight in zip(data
./other/scoring_algorithm.py:51:9 - Unknown word (maxd) -- maxd = max(dlist)
./other/scoring_algorithm.py:5:34 - Unknown word (percentual) -- using a range based percentual proximity algorithm
./other/scoring_algorithm.py:89:9 - Unknown word (slist) -- for slist in score_lists:
./other/scoring_algorithm.py:96:5 - Unknown word (procentual) -- def procentual_proximity(
./other/sdes.py:36:11 - Unknown word (sbox) -- def apply_sbox(s, data):
./other/sdes.py:96:29 - Unknown word (decypting) -- print("Plain text after decypting is:", PT)
./physics/basic_orbital_capture.py:174:72 - Unknown word (Bezanson) -- Astronomy|Professor Rachel Bezanson
./physics/casimir_effect.py:16:17 - Unknown word (Hendrik) -- Dutch physicist Hendrik B. G. Casimir first
./physics/casimir_effect.py:35:18 - Unknown word (Waals) -- London-van der Waals Forces", Physical Review
./physics/casimir_effect.py:49:5 - Unknown word (casimir) -- def casimir_force(force: float,
./physics/grahams_law.py:24:22 - Unknown word (Effustion) -- effusion_rate_1: Effustion rate of first gas (m
./physics/grahams_law.py:26:58 - Unknown word (kmol) -- first gas (g/mol, kg/kmol, etc.)
./physics/hubble_parameter.py:40:29 - Unknown word (constante) -- hubble_constant: Hubble constante is the expansion rate
./physics/hubble_parameter.py:6:42 - Unknown word (directily) -- becausethe redshift is directily mensure