$7.95 shipping. ', null, null, null], '1': [null, null, '4', '5', '2', '0', null, null], '2': ['1', '4', '5', '6', '3', '. In practice it rarely exceeds 5 and then # search terminates rapidly.n #n # the optimal 'minimum guesses' sequence is here defined to be the sequence thatn # minimizes the following function:n #n # g = l! • Jun 12, 2018, About ': ['.>', ';:', '', null, null, null], '@': ['1! ', '.>'], '<': ['mM', 'kK', 'lL', '.>', null, null], '=': ['-_', null, null, null, ']}', '[{'], '>': [',<', 'lL', ';:', '/? Connecticut, Illinois, Maryland, Maine, New Jersey, or Rhode Island. labatt / (1) 12-pack or larger plus any fresh or frozen pizza, minimum price $4.99 / $8.00: $8.00: 1/1/21: 2/28/21: labatt blue light seltzer / (1) 12-pack / $5.00 (text "seltzer!" Canada (5 items) United States (4 items) Ratings 5 stars (1 items) 4 stars & Up (2 items) 3 stars & Up (2 items) View All (3 items) Follow us. Elite MILF Rayveness stopped by to see Swiney & give up both of her holes to. ', null, null], '/': ['.>', ';:', '', null, null, null], '0': ['9(', null, null, '-_', 'pP', 'oO'], '1': ['`~', null, null, '2@', 'qQ', null], '2': ['1! Then you start listing your qualification, experience and skills in an organized manner. Throughout the company's history, Labatt has never lost sight of the fact that it is in business to exceed the expectations of its customers. 'frequency_lists = require('./frequency_lists')nadjacency_graphs = require('./adjacency_graphs')nscoring = require('./scoring')nnbuild_ranked_dict = (ordered_list) ->n result = {}n i = 1 # rank starts at 1, not 0n for word in ordered_listn result[word] = in i += 1n resultnnRANKED_DICTIONARIES = {}nfor name, lst of frequency_listsn RANKED_DICTIONARIES[name] = build_ranked_dict lstnnGRAPHS =n qwerty: adjacency_graphs.qwertyn dvorak: adjacency_graphs.dvorakn keypad: adjacency_graphs.keypadn mac_keypad: adjacency_graphs.mac_keypadnnL33T_TABLE =n a: ['4', '@']n b: ['8']n c: ['(', '{', '[', '<']n e: ['3']n g: ['6', '9']n i: ['1', '! ', null, null]}n dvorak: {'! ', null, null, '3#', ',<', ''], '3': ['2@', null, null, '4$', '.>', ',<'], '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'], '=': ['/? tops markets digital coupons can offer you many choices to save money thanks to 23 active results. Describe a time when you have overcome your own anxiety to join in an activity you knew was important to someone else? btls.or 30/12 fl. oz. For tutoring please call 856.777.0840 I am a recently retired registered nurse who helps nursing students pass their NCLEX. $35.30 $ 35. add to My Rebates; 4272 Greenfield Pkwy Blasdell Blasdell, NY 14219 5/15/2017 - 9/9/2017 $12.00 off labatt beer. ', '2@', 'wW', 'aA', null], 'R': ['eE', '4$', '5%', 'tT', 'fF', 'dD'], 'S': ['aA', 'wW', 'eE', 'dD', 'xX', 'zZ'], 'T': ['rR', '5%', '6^', 'yY', 'gG', 'fF'], 'U': ['yY', '7&', '8*', 'iI', 'jJ', 'hH'], 'V': ['cC', 'fF', 'gG', 'bB', null, null], 'W': ['qQ', '2@', '3#', 'eE', 'sS', 'aA'], 'X': ['zZ', 'sS', 'dD', 'cC', null, null], 'Y': ['tT', '6^', '7&', 'uU', 'hH', 'gG'], 'Z': [null, 'aA', 'sS', 'xX', null, null], '[': ['pP', '-_', '=+', ']}', '', ';:'], ': [']}', null, null, null, null, null], ']': ['[{', '=+', null, '|', null, ''], '^': ['5%', null, null, '7&', 'yY', 'tT'], '_': ['0)', null, null, '=+', '[{', 'pP'], '`': [null, null, null, '1! # a match's guess estimate doesn't change. Payment options. ResumeMatch - Sample Resume, Resume Template, Resume Example, Resume Builder,Resume linkedin,Resume Grade,File Convert. For this fun program, consumers would purchase a specially marked case of Labatt Blue and find a PIN inside that could be entered on the Labatt Rewards site for points. Labatt 50 Beer Men's Pullover Hoodie Long-Sleeve Lightweight Sweatshirt. I really like their services and would like to suggest them to students looking to do my assignment do my assignment. ', null, null, '3#', ',<', ''], 'A': [null, '', ',<', 'oO', ';:', null], 'B': ['xX', 'dD', 'hH', 'mM', null, null], 'C': ['gG', '8*', '9(', 'rR', 'tT', 'hH'], 'D': ['iI', 'fF', 'gG', 'hH', 'bB', 'xX'], 'E': ['oO', '.>', 'pP', 'uU', 'jJ', 'qQ'], 'F': ['yY', '6^', '7&', 'gG', 'dD', 'iI'], 'G': ['fF', '7&', '8*', 'cC', 'hH', 'dD'], 'H': ['dD', 'gG', 'cC', 'tT', 'mM', 'bB'], 'I': ['uU', 'yY', 'fF', 'dD', 'xX', 'kK'], 'J': ['qQ', 'eE', 'uU', 'kK', null, null], 'K': ['jJ', 'uU', 'iI', 'xX', null, null], 'L': ['rR', '0)', '[{', '/? ', 'lL'], ': ['=+', null, null, null, null, null], ']': ['[{', null, null, null, '=+', '/? Shop Top Deals and featured offers at Best Buy. Drizly / Beer Brands / Labatt; Labatt (9 results) Sort by: Featured. Watch BBW HD Porn 1080p HD porn videos for free on Eporner.com. Unisex Labatt-Blue-Light- Snapback Hats Dad Cap Punk Hip-hop Caps. Question Asked • Aug 05, 2020, Posted • Senior Financial Consultant • Oct 19, 2018, charlotte mason 'node_modules/browserify/node_modules/browser-pack/_prelude.js'. Points could then be redeemed for ‘Good Stuff”, and the more points, the more “Good Stuff” they’d get. ', ']}', null, '|', null, '-_'], '>': [',<', '3#', '4$', 'pP', 'eE', 'oO'], '? CODES (1 months ago) tops friendly markets digital coupons - Find Coupon Codes CODES (2 months ago) CODES (21 days ago) tops friendly markets coupon matchups, simply be coupon code 2019, menchies coupons winter park, mommy deals online.Feature your family photos on attractively designed custom photo cards for Christmas, holidays, … She takes 3 huge loads of chubby cum as the Pigs empty their sacks on her tits. I have been a nurse since 1997. or, if there's more uppercase than lower (for eg. ': ['lL', '[{', ']}', '=+', '-_', 'sS'], '@': ['1! 4.1 out of 5 stars 4. '# generated by scripts/build_keyboard_adjacency_graphs.pynadjacency_graphs = n qwerty: {'! ', '=+', null, null, 'zZ'], '`': [null, null, null, '1! 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. src/public/js/zxcvbn.js This package implements a content management system with security features by default. ', '|']n l: ['1', '|', '7']n o: ['0']n s: ['$', '5']n t: ['+', '7']n x: ['%']n z: ['2']nnREGEXEN =n recent_year: /19dd|200d|201d/gnnDATE_MAX_YEAR = 2050nDATE_MIN_YEAR = 1000nDATE_SPLITS =n 4:[ # for length-4 strings, eg 1191 or 9111, two ways to split:n [1, 2] # 1 1 91 (2nd split starts at index 1, 3rd at index 2)n [2, 3] # 91 1 1n ]n 5:[n [1, 3] # 1 11 91n [2, 3] # 11 1 91n ]n 6:[n [1, 2] # 1 1 1991n [2, 4] # 11 11 91n [4, 5] # 1991 1 1n ]n 7:[n [1, 3] # 1 11 1991n [2, 3] # 11 1 1991n [4, 5] # 1991 1 11n [4, 6] # 1991 11 1n ]n 8:[n [2, 4] # 11 11 1991n [4, 6] # 1991 11 11n ]nnmatching =n empty: (obj) -> (k for k of obj).length 0n extend: (lst, lst2) -> lst.push.apply lst, lst2n translate: (string, chr_map) -> (chr_map[chr] or chr for chr in string.split(')).join(')n mod: (n, m) -> ((n % m) + m) % m # mod impl that works for negative numbersn sorted: (matches) ->n # sort on i primary, j secondaryn matches.sort (m1, m2) ->n (m1.i - m2.i) or (m1.j - m2.j)nn # ------------------------------------------------------------------------------n # omnimatch -- combine everything ----------------------------------------------n # ------------------------------------------------------------------------------nn omnimatch: (password) ->n matches = []n matchers = [n @dictionary_matchn @reverse_dictionary_matchn @l33t_matchn @spatial_matchn @repeat_matchn @sequence_matchn @regex_matchn @date_matchn ]n for matcher in matchersn @extend matches, matcher.call(this, password)n @sorted matchesnn #-------------------------------------------------------------------------------n # dictionary match (common passwords, english, last names, etc) ----------------n #-------------------------------------------------------------------------------nn dictionary_match: (password, _ranked_dictionaries = RANKED_DICTIONARIES) ->n # _ranked_dictionaries variable is for unit testing purposesn matches = []n len = password.lengthn password_lower = password.toLowerCase()n for dictionary_name, ranked_dict of _ranked_dictionariesn for i in [0...len]n for j in [i...len]n if password_lower[i..j] of ranked_dictn word = password_lower[i..j]n rank = ranked_dict[word]n matches.pushn pattern: 'dictionary'n i: in j: jn token: password[i..j]n matched_word: wordn rank: rankn dictionary_name: dictionary_namen reversed: falsen l33t: falsen @sorted matchesnn reverse_dictionary_match: (password, _ranked_dictionaries = RANKED_DICTIONARIES) ->n reversed_password = password.split(').reverse().join(')n matches = @dictionary_match reversed_password, _ranked_dictionariesn for match in matchesn match.token = match.token.split(').reverse().join(') # reverse backn match.reversed = truen # map coordinates back to original stringn [match.i, match.j] = [n password.length - 1 - match.jn password.length - 1 - match.in ]n @sorted matchesnn set_user_input_dictionary: (ordered_list) ->n RANKED_DICTIONARIES['user_inputs'] = build_ranked_dict ordered_list.slice()nn #-------------------------------------------------------------------------------n # dictionary match with common l33t substitutions ------------------------------n #-------------------------------------------------------------------------------nn # makes a pruned copy of l33t_table that only includes password's possible substitutionsn relevant_l33t_subtable: (password, table) ->n password_chars = {}n for chr in password.split(')n password_chars[chr] = truen subtable = {}n for letter, subs of tablen relevant_subs = (sub for sub in subs when sub of password_chars)n if relevant_subs.length > 0n subtable[letter] = relevant_subsn subtablenn # returns the list of possible 1337 replacement dictionaries for a given passwordn enumerate_l33t_subs: (table) ->n keys = (k for k of table)n subs = [[]]nn dedup = (subs) ->n deduped = []n members = {}n for sub in subsn assoc = ([k,v] for k,v in sub)n assoc.sort()n label = (k+','+v for k,v in assoc).join('-')n unless label of membersn members[label] = truen deduped.push subn dedupednn helper = (keys) ->n return if not keys.lengthn first_key = keys[0]n rest_keys = keys[1..]n next_subs = []n for l33t_chr in table[first_key]n for sub in subsn dup_l33t_index = -1n for i in [0...sub.length]n if sub[i][0] l33t_chrn dup_l33t_index = in breakn if dup_l33t_index -1n sub_extension = sub.concat [[l33t_chr, first_key]]n next_subs.push sub_extensionn elsen sub_alternative = sub.slice(0)n sub_alternative.splice(dup_l33t_index, 1)n sub_alternative.push [l33t_chr, first_key]n next_subs.push subn next_subs.push sub_alternativen subs = dedup next_subsn helper(rest_keys)nn helper(keys)n sub_dicts = [] # convert from assoc lists to dictsn for sub in subsn sub_dict = {}n for [l33t_chr, chr] in subn sub_dict[l33t_chr] = chrn sub_dicts.push sub_dictn sub_dictsnn l33t_match: (password, _ranked_dictionaries = RANKED_DICTIONARIES, _l33t_table = L33T_TABLE) ->n matches = []n for sub in @enumerate_l33t_subs @relevant_l33t_subtable(password, _l33t_table)n break if @empty sub # corner case: password has no relevant subs.n subbed_password = @translate password, subn for match in @dictionary_match(subbed_password, _ranked_dictionaries)n token = password[match.i..match.j]n if token.toLowerCase() match.matched_wordn continue # only return the matches that contain an actual substitutionn match_sub = {} # subset of mappings in sub that are in use for this matchn for subbed_chr, chr of sub when token.indexOf(subbed_chr) != -1n match_sub[subbed_chr] = chrn match.l33t = truen match.token = tokenn match.sub = match_subn match.sub_display = ('#{k} -> #{v}' for k,v of match_sub).join(', ')n matches.push matchn @sorted matches.filter (match) ->n # filter single-character l33t matches to reduce noise.n # otherwise '1' matches 'i', '4' matches 'a', both very common English wordsn # with low dictionary rank.n match.token.length > 1nn # ------------------------------------------------------------------------------n # spatial match (qwerty/dvorak/keypad) -----------------------------------------n # ------------------------------------------------------------------------------nn spatial_match: (password, _graphs = GRAPHS) ->n matches = []n for graph_name, graph of _graphsn @extend matches, @spatial_match_helper(password, graph, graph_name)n @sorted matchesnn SHIFTED_RX: /[~!@#$%^&*()_+QWERTYUIOP{}|ASDFGHJKL:'ZXCVBNM<>? ', '-_', 'zZ', 'vV'], 'T': ['hH', 'cC', 'rR', 'nN', 'wW', 'mM'], 'U': ['eE', 'pP', 'yY', 'iI', 'kK', 'jJ'], 'V': ['wW', 'nN', 'sS', 'zZ', null, null], 'W': ['mM', 'tT', 'nN', 'vV', null, null], 'X': ['kK', 'iI', 'dD', 'bB', null, null], 'Y': ['pP', '5%', '6^', 'fF', 'iI', 'uU'], 'Z': ['vV', 'sS', '-_', null, null, null], '[': ['0)', null, null, ']}', '/? writer, Question Asked • Health Care Auxiliary data. ', '=+', null, null, 'zZ'], '. Shop Labatt. Please bear with us... ...as we work to provide you better service. Staff Author, Posted • Career ', '0'], '4': [null, null, '7', '8', '5', '2', '1', null], '5': ['4', '7', '8', '9', '6', '3', '2', '1'], '6': ['5', '8', '9', '-', '+', null, '3', '2'], '7': [null, null, null, '=', '8', '5', '4', null], '8': ['7', null, '=', '/', '9', '6', '5', '4'], '9': ['8', '=', '/', '*', '-', '+', '6', '5'], '=': [null, null, null, null, '/', '9', '8', '7']}nnmodule.exports = adjacency_graphsn'. if so, skip it and return.n for competing_l, competing_g of optimal.g[k]n continue if competing_l > ln return if competing_g <= gn # this sequence might be part of the final optimal sequence.n optimal.g[k][l] = gn optimal.m[k][l] = mn optimal.pi[k][l] = pinn # helper: evaluate bruteforce matches ending at k.n bruteforce_update = (k) =>n # see if a single bruteforce match spanning the k-prefix is optimal.n m = make_bruteforce_match(0, k)n update(m, 1)n for i in [1..k]n # generate k bruteforce matches, spanning from (i=1, j=k) up to (i=k, j=k).n # see if adding these new matches to any of the sequences in optimal[i-1]n # leads to new bests.n m = make_bruteforce_match(i, k)n for l, last_m of optimal.m[i-1]n l = parseInt(l)n # corner: an optimal sequence will never have two adjacent bruteforce matches.n # it is strictly better to have a single bruteforce match spanning the same region:n # same contribution to the guess product with a lower length.n # --> safe to skip those cases.n continue if last_m.pattern 'bruteforce'n # try adding m to this length-l sequence.n update(m, l + 1)nn # helper: make bruteforce match objects spanning i to j, inclusive.n make_bruteforce_match = (i, j) =>n pattern: 'bruteforce'n token: password[i..j]n i: in j: jnn # helper: step backwards through optimal.m starting at the end,n # constructing the final optimal match sequence.n unwind = (n) =>n optimal_match_sequence = []n k = n - 1n # find the final best sequence length and scoren l = undefinedn g = Infinityn for candidate_l, candidate_g of optimal.g[k]n if candidate_g < gn l = candidate_ln g = candidate_gnn while k >= 0n m = optimal.m[k][l]n optimal_match_sequence.unshift mn k = m.i - 1n l--n optimal_match_sequencenn for k in [0...n]n for m in matches_by_j[k]n if m.i > 0n for l of optimal.m[m.i - 1]n l = parseInt(l)n update(m, l + 1)n elsen update(m, 1)n bruteforce_update(k)n optimal_match_sequence = unwind(n)n optimal_l = optimal_match_sequence.lengthnn # corner: empty passwordn if password.length 0n guesses = 1n elsen guesses = optimal.g[n - 1][optimal_l]nn # final result objectn password: passwordn guesses: guessesn guesses_log10: @log10 guessesn sequence: optimal_match_sequencenn # ------------------------------------------------------------------------------n # guess estimation -- one function per match pattern ---------------------------n # ------------------------------------------------------------------------------nn estimate_guesses: (match, password) ->n return match.guesses if match.guesses?
Sirius Xm Commander Touch Installation, Domino Sugar Wiki, Prospect Movie Weapons, Fog Forecast App, Fsu Entrepreneurship Minor, Is A Arrowtooth Flounder A Producer Or Consumer, Cooley High Script, Top 50 Filipino Tiktokers 2020, Marco Fireplace Manuals, Kings In The Corner Online, Golf Clash Clan Ranks,