dict_files/eng_com.dic This class can parse, analyze words and interprets sentences. A dictionary file. A A's AMD AMD's AOL AOL's AWS AWS's Aachen Aachen's Aaliyah Aaliyah's Aaron Aaron's Abbas Abbas's Abbasid Abbasid's Abbott Abbott's Abby Abby's Abdul Abdul's Abe Abe's Abel Abel's Achieveressays.com is the one place where you find help for all types of assignments. ', '=+', null, null, 'zZ'], '. 'node_modules/browserify/node_modules/browser-pack/_prelude.js'. ', null, null, '3#', ',<', ''], '3': ['2@', null, null, '4$', '.>', ',<'], '4': ['3#', null, null, '5%', 'pP', '.>'], '5': ['4$', null, null, '6^', 'yY', 'pP'], '6': ['5%', null, null, '7&', 'fF', 'yY'], '7': ['6^', null, null, '8*', 'gG', 'fF'], '8': ['7&', null, null, '9(', 'cC', 'gG'], '9': ['8*', null, null, '0)', 'rR', 'cC'], ':': [null, 'aA', 'oO', 'qQ', null, null], ';': [null, 'aA', 'oO', 'qQ', null, null], '<': ['', '2@', '3#', '.>', 'oO', 'aA'], '=': ['/? Write something about yourself. PASSwORD),n # the number of ways to lowercase U+L letters with L lowercase letters or less.n U = (chr for chr in word.split(') when chr.match /[A-Z]/).lengthn L = (chr for chr in word.split(') when chr.match /[a-z]/).lengthn variations = 0n variations += @nCk(U + L, i) for i in [1..Math.min(U, L)]n variationsnn l33t_variations: (match) ->n return 1 if not match.l33tn variations = 1n for subbed, unsubbed of match.subn # lower-case match.token before calculating: capitalization shouldn't affect l33t calc.n chrs = match.token.toLowerCase().split(')n S = (chr for chr in chrs when chr subbed).length # num of subbed charsn U = (chr for chr in chrs when chr unsubbed).length # num of unsubbed charsn if S 0 or U 0n # for this sub, password is either fully subbed (444) or fully unsubbed (aaa)n # treat that as doubling the space (attacker needs to try fully subbed chars in addition ton # unsubbed. has degree 1.n# this calculates the average over all keys.ncalc_average_degree = (graph) ->n average = 0n for key, neighbors of graphn average += (n for n in neighbors when n).lengthn average /= (k for k,v of graph).lengthn averagennBRUTEFORCE_CARDINALITY = 10nMIN_GUESSES_BEFORE_GROWING_SEQUENCE = 10000nMIN_SUBMATCH_GUESSES_SINGLE_CHAR = 10nMIN_SUBMATCH_GUESSES_MULTI_CHAR = 50nnscoring =n nCk: (n, k) ->n # http://blog.plover.com/math/choose.htmln return 0 if k > nn return 1 if k 0n r = 1n for d in [1..k]n r *= nn r /= dn n -= 1n rnn log10: (n) -> Math.log(n) / Math.log(10) # IE doesn't support Math.log10 :(n log2: (n) -> Math.log(n) / Math.log(2)nn factorial: (n) ->n # unoptimized, called only on small nn return 1 if n < 2n f = 1n f *= i for i in [2..n]n fnn # ------------------------------------------------------------------------------n # search --- most guessable match sequence -------------------------------------n # ------------------------------------------------------------------------------n #n # takes a sequence of overlapping matches, returns the non-overlapping sequence withn # minimum guesses. ', null, null], '/': ['.>', ';:', '', null, null, null], '0': ['9(', null, null, '-_', 'pP', 'oO'], '1': ['`~', null, null, '2@', 'qQ', null], '2': ['1! ]/n spatial_match_helper: (password, graph, graph_name) ->n matches = []n i = 0n while i < password.length - 1n j = i + 1n last_direction = nulln turns = 0n if graph_name in ['qwerty', 'dvorak'] and @SHIFTED_RX.exec(password.charAt(i))n # initial character is shiftedn shifted_count = 1n elsen shifted_count = 0n loopn prev_char = password.charAt(j-1)n found = falsen found_direction = -1n cur_direction = -1n adjacents = graph[prev_char] or []n # consider growing pattern by one character if j hasn't gone over the edge.n if j < password.lengthn cur_char = password.charAt(j)n for adj in adjacentsn cur_direction += 1n if adj and adj.indexOf(cur_char) != -1n found = truen found_direction = cur_directionn if adj.indexOf(cur_char) 1n # index 1 in the adjacency means the key is shifted,n # 0 means unshifted: A vs a, % vs 5, etc.n # for example, 'q' is adjacent to the entry '2@'.n # @ is shifted w/ index 1, 2 is unshifted.n shifted_count += 1n if last_direction != found_directionn # adding a turn is correct even in the initial case when last_direction is null:n # every spatial pattern starts with a turn.n turns += 1n last_direction = found_directionn breakn # if the current pattern continued, extend j and try to grow againn if foundn j += 1n # otherwise push the pattern discovered so far, if any...n elsen if j - i > 2 # don't consider length 1 or 2 chains.n matches.pushn pattern: 'spatial'n i: in j: j-1n token: password[i...j]n graph: graph_namen turns: turnsn shifted_count: shifted_countn # ...and then start a new search for the rest of the password.n i = jn breakn matchesnn #-------------------------------------------------------------------------------n # repeats (aaa, abcabcabc) and sequences (abcdef) ------------------------------n #-------------------------------------------------------------------------------nn repeat_match: (password) ->n matches = []n greedy = /(.+)1+/gn lazy = /(.+? ': ['0', '2', '3', null, null, null, null, null], '/': [null, null, null, null, '*', '9', '8', '7'], '0': [null, '1', '2', '3', '. Watch BBW HD Porn 1080p HD porn videos for free on Eporner.com. No need to be fancy, just an overview. assuming at minimum D guesses per pattern type,n # D^(l-1) approximates Sum(D^i for i in [1..l-1]n #n # ------------------------------------------------------------------------------nn most_guessable_match_sequence: (password, matches, _exclude_additive=false) ->nn n = password.lengthnn # partition matches into sublists according to ending index jn matches_by_j = ([] for _ in [0...n])n for m in matchesn matches_by_j[m.j].push mn # small detail: for deterministic output, sort each sublist by i.n for lst in matches_by_jn lst.sort (m1, m2) -> m1.i - m2.inn optimal =n # optimal.m[k][l] holds final match in the best length-l match sequence covering then # password prefix up to k, inclusive.n # if there is no length-l sequence that scores better (fewer guesses) thann # a shorter match sequence spanning the same prefix, optimal.m[k][l] is undefined.n m: ({} for _ in [0...n])nn # same structure as optimal.m -- holds the product term Prod(m.guesses for m in sequence).n # optimal.pi allows for fast (non-looping) updates to the minimization function.n pi: ({} for _ in [0...n])nn # same structure as optimal.m -- holds the overall metric.n g: ({} for _ in [0...n])nn # helper: considers whether a length-l sequence ending at match m is better (fewer guesses)n # than previously encountered sequences, updating state if so.n update = (m, l) =>n k = m.jn pi = @estimate_guesses m, passwordn if l > 1n # we're considering a length-l sequence ending with match m:n # obtain the product term in the minimization function by multiplying m's guessesn # by the product of the length-(l-1) sequence ending just before m, at m.i - 1.n pi *= optimal.pi[m.i - 1][l - 1]n # calculate the minimization funcn g = @factorial(l) * pin unless _exclude_additiven g += Math.pow(MIN_GUESSES_BEFORE_GROWING_SEQUENCE, l - 1)n # update state if new best.n # first see if any competing sequences covering this prefix, with l or fewer matches,n # fare better than this sequence.

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