diff --git a/README.md b/README.md index e77561a60091061e03d9c70f47b18d180a8ab698..c6e2ac6b910845af50fc16bf1156c181fa0bbf3d 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,7 @@ Assistant:""" model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True).to(torch.float32) -tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True) +tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, padding_side='left') text = "请介绍北京的旅游景点" prompt = generate_prompt(text) @@ -83,7 +83,7 @@ Assistant:""" model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, torch_dtype=torch.float16).to(0) -tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True) +tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, padding_side='left') text = "介绍一下大熊猫" prompt = generate_prompt(text) @@ -130,7 +130,7 @@ User: {instruction} Assistant:""" model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True).to(torch.float32) -tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True) +tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, padding_side='left') texts = ["请介绍北京的旅游景点", "介绍一下大熊猫", "乌兰察布"] prompts = [generate_prompt(text) for text in texts] diff --git a/rwkv_vocab_v20230424.txt b/rwkv_vocab_v20230424.txt deleted file mode 100644 index b8c3f7260d2cac8b83bfbe7bc43f462fef8c4012..0000000000000000000000000000000000000000 --- a/rwkv_vocab_v20230424.txt +++ /dev/null @@ -1,65529 +0,0 @@ -1 '\x00' 1 -2 '\x01' 1 -3 '\x02' 1 -4 '\x03' 1 -5 '\x04' 1 -6 '\x05' 1 -7 '\x06' 1 -8 '\x07' 1 -9 '\x08' 1 -10 '\t' 1 -11 '\n' 1 -12 '\x0b' 1 -13 '\x0c' 1 -14 '\r' 1 -15 '\x0e' 1 -16 '\x0f' 1 -17 '\x10' 1 -18 '\x11' 1 -19 '\x12' 1 -20 '\x13' 1 -21 '\x14' 1 -22 '\x15' 1 -23 '\x16' 1 -24 '\x17' 1 -25 '\x18' 1 -26 '\x19' 1 -27 '\x1a' 1 -28 '\x1b' 1 -29 '\x1c' 1 -30 '\x1d' 1 -31 '\x1e' 1 -32 '\x1f' 1 -33 ' ' 1 -34 '!' 1 -35 '"' 1 -36 '#' 1 -37 '$' 1 -38 '%' 1 -39 '&' 1 -40 "'" 1 -41 '(' 1 -42 ')' 1 -43 '*' 1 -44 '+' 1 -45 ',' 1 -46 '-' 1 -47 '.' 1 -48 '/' 1 -49 '0' 1 -50 '1' 1 -51 '2' 1 -52 '3' 1 -53 '4' 1 -54 '5' 1 -55 '6' 1 -56 '7' 1 -57 '8' 1 -58 '9' 1 -59 ':' 1 -60 ';' 1 -61 '<' 1 -62 '=' 1 -63 '>' 1 -64 '?' 1 -65 '@' 1 -66 'A' 1 -67 'B' 1 -68 'C' 1 -69 'D' 1 -70 'E' 1 -71 'F' 1 -72 'G' 1 -73 'H' 1 -74 'I' 1 -75 'J' 1 -76 'K' 1 -77 'L' 1 -78 'M' 1 -79 'N' 1 -80 'O' 1 -81 'P' 1 -82 'Q' 1 -83 'R' 1 -84 'S' 1 -85 'T' 1 -86 'U' 1 -87 'V' 1 -88 'W' 1 -89 'X' 1 -90 'Y' 1 -91 'Z' 1 -92 '[' 1 -93 '\\' 1 -94 ']' 1 -95 '^' 1 -96 '_' 1 -97 '`' 1 -98 'a' 1 -99 'b' 1 -100 'c' 1 -101 'd' 1 -102 'e' 1 -103 'f' 1 -104 'g' 1 -105 'h' 1 -106 'i' 1 -107 'j' 1 -108 'k' 1 -109 'l' 1 -110 'm' 1 -111 'n' 1 -112 'o' 1 -113 'p' 1 -114 'q' 1 -115 'r' 1 -116 's' 1 -117 't' 1 -118 'u' 1 -119 'v' 1 -120 'w' 1 -121 'x' 1 -122 'y' 1 -123 'z' 1 -124 '{' 1 -125 '|' 1 -126 '}' 1 -127 '~' 1 -128 '\x7f' 1 -129 b'\x80' 1 -130 b'\x81' 1 -131 b'\x82' 1 -132 b'\x83' 1 -133 b'\x84' 1 -134 b'\x85' 1 -135 b'\x86' 1 -136 b'\x87' 1 -137 b'\x88' 1 -138 b'\x89' 1 -139 b'\x8a' 1 -140 b'\x8b' 1 -141 b'\x8c' 1 -142 b'\x8d' 1 -143 b'\x8e' 1 -144 b'\x8f' 1 -145 b'\x90' 1 -146 b'\x91' 1 -147 b'\x92' 1 -148 b'\x93' 1 -149 b'\x94' 1 -150 b'\x95' 1 -151 b'\x96' 1 -152 b'\x97' 1 -153 b'\x98' 1 -154 b'\x99' 1 -155 b'\x9a' 1 -156 b'\x9b' 1 -157 b'\x9c' 1 -158 b'\x9d' 1 -159 b'\x9e' 1 -160 b'\x9f' 1 -161 b'\xa0' 1 -162 b'\xa1' 1 -163 b'\xa2' 1 -164 b'\xa3' 1 -165 b'\xa4' 1 -166 b'\xa5' 1 -167 b'\xa6' 1 -168 b'\xa7' 1 -169 b'\xa8' 1 -170 b'\xa9' 1 -171 b'\xaa' 1 -172 b'\xab' 1 -173 b'\xac' 1 -174 b'\xad' 1 -175 b'\xae' 1 -176 b'\xaf' 1 -177 b'\xb0' 1 -178 b'\xb1' 1 -179 b'\xb2' 1 -180 b'\xb3' 1 -181 b'\xb4' 1 -182 b'\xb5' 1 -183 b'\xb6' 1 -184 b'\xb7' 1 -185 b'\xb8' 1 -186 b'\xb9' 1 -187 b'\xba' 1 -188 b'\xbb' 1 -189 b'\xbc' 1 -190 b'\xbd' 1 -191 b'\xbe' 1 -192 b'\xbf' 1 -193 b'\xc0' 1 -194 b'\xc1' 1 -195 b'\xc2' 1 -196 b'\xc3' 1 -197 b'\xc4' 1 -198 b'\xc5' 1 -199 b'\xc6' 1 -200 b'\xc7' 1 -201 b'\xc8' 1 -202 b'\xc9' 1 -203 b'\xca' 1 -204 b'\xcb' 1 -205 b'\xcc' 1 -206 b'\xcd' 1 -207 b'\xce' 1 -208 b'\xcf' 1 -209 b'\xd0' 1 -210 b'\xd1' 1 -211 b'\xd2' 1 -212 b'\xd3' 1 -213 b'\xd4' 1 -214 b'\xd5' 1 -215 b'\xd6' 1 -216 b'\xd7' 1 -217 b'\xd8' 1 -218 b'\xd9' 1 -219 b'\xda' 1 -220 b'\xdb' 1 -221 b'\xdc' 1 -222 b'\xdd' 1 -223 b'\xde' 1 -224 b'\xdf' 1 -225 b'\xe0' 1 -226 b'\xe1' 1 -227 b'\xe2' 1 -228 b'\xe3' 1 -229 b'\xe4' 1 -230 b'\xe5' 1 -231 b'\xe6' 1 -232 b'\xe7' 1 -233 b'\xe8' 1 -234 b'\xe9' 1 -235 b'\xea' 1 -236 b'\xeb' 1 -237 b'\xec' 1 -238 b'\xed' 1 -239 b'\xee' 1 -240 b'\xef' 1 -241 b'\xf0' 1 -242 b'\xf1' 1 -243 b'\xf2' 1 -244 b'\xf3' 1 -245 b'\xf4' 1 -246 b'\xf5' 1 -247 b'\xf6' 1 -248 b'\xf7' 1 -249 b'\xf8' 1 -250 b'\xf9' 1 -251 b'\xfa' 1 -252 b'\xfb' 1 -253 b'\xfc' 1 -254 b'\xfd' 1 -255 b'\xfe' 1 -256 b'\xff' 1 -257 '\t\t' 2 -258 '\t\n' 2 -259 '\t ' 2 -260 '\n\t' 2 -261 '\n\n' 2 -262 '\n ' 2 -263 '\r\n' 2 -264 ' \t' 2 -265 ' \n' 2 -266 ' \r' 2 -267 ' ' 2 -268 ' !' 2 -269 ' "' 2 -270 ' #' 2 -271 ' $' 2 -272 ' %' 2 -273 ' &' 2 -274 " '" 2 -275 ' (' 2 -276 ' )' 2 -277 ' *' 2 -278 ' +' 2 -279 ' ,' 2 -280 ' -' 2 -281 ' .' 2 -282 ' /' 2 -283 ' 0' 2 -284 ' 1' 2 -285 ' 2' 2 -286 ' 3' 2 -287 ' 4' 2 -288 ' 5' 2 -289 ' 6' 2 -290 ' 7' 2 -291 ' 8' 2 -292 ' 9' 2 -293 ' :' 2 -294 ' ;' 2 -295 ' <' 2 -296 ' =' 2 -297 ' >' 2 -298 ' ?' 2 -299 ' @' 2 -300 ' A' 2 -301 ' B' 2 -302 ' C' 2 -303 ' D' 2 -304 ' E' 2 -305 ' F' 2 -306 ' G' 2 -307 ' H' 2 -308 ' I' 2 -309 ' J' 2 -310 ' K' 2 -311 ' L' 2 -312 ' M' 2 -313 ' N' 2 -314 ' O' 2 -315 ' P' 2 -316 ' Q' 2 -317 ' R' 2 -318 ' S' 2 -319 ' T' 2 -320 ' U' 2 -321 ' V' 2 -322 ' W' 2 -323 ' X' 2 -324 ' Y' 2 -325 ' Z' 2 -326 ' [' 2 -327 ' \\' 2 -328 ' ]' 2 -329 ' ^' 2 -330 ' _' 2 -331 ' `' 2 -332 ' a' 2 -333 ' b' 2 -334 ' c' 2 -335 ' d' 2 -336 ' e' 2 -337 ' f' 2 -338 ' g' 2 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-422 "%'" 2 -423 '%(' 2 -424 '%)' 2 -425 '%,' 2 -426 '%-' 2 -427 '%.' 2 -428 '%;' 2 -429 '%=' 2 -430 '%\\' 2 -431 '&#' 2 -432 '&&' 2 -433 '&=' 2 -434 '&\\' 2 -435 '\'"' 2 -436 "'#" 2 -437 "'$" 2 -438 "'%" 2 -439 "''" 2 -440 "'(" 2 -441 "')" 2 -442 "'*" 2 -443 "'+" 2 -444 "'," 2 -445 "'-" 2 -446 "'." 2 -447 "'/" 2 -448 "':" 2 -449 "';" 2 -450 "'<" 2 -451 "'>" 2 -452 "'?" 2 -453 "'[" 2 -454 "'\\" 2 -455 "']" 2 -456 "'^" 2 -457 "'_" 2 -458 "'d" 2 -459 "'m" 2 -460 "'s" 2 -461 "'t" 2 -462 "'{" 2 -463 "'}" 2 -464 '(!' 2 -465 '("' 2 -466 '(#' 2 -467 '($' 2 -468 '(%' 2 -469 '(&' 2 -470 "('" 2 -471 '((' 2 -472 '()' 2 -473 '(*' 2 -474 '(+' 2 -475 '(-' 2 -476 '(.' 2 -477 '(/' 2 -478 '(:' 2 -479 '(<' 2 -480 '(?' 2 -481 '(@' 2 -482 '([' 2 -483 '(\\' 2 -484 '(_' 2 -485 '(`' 2 -486 '({' 2 -487 '(|' 2 -488 ')!' 2 -489 ')"' 2 -490 ')$' 2 -491 ')&' 2 -492 ")'" 2 -493 ')(' 2 -494 '))' 2 -495 ')*' 2 -496 ')+' 2 -497 '),' 2 -498 ')-' 2 -499 ').' 2 -500 ')/' 2 -501 '):' 2 -502 ');' 2 -503 ')<' 2 -504 ')=' 2 -505 ')>' 2 -506 ')?' 2 -507 ')[' 2 -508 ')\\' 2 -509 ')]' 2 -510 ')^' 2 -511 ')_' 2 -512 ')`' 2 -513 '){' 2 -514 ')|' 2 -515 ')}' 2 -516 '*"' 2 -517 "*'" 2 -518 '*(' 2 -519 '*)' 2 -520 '**' 2 -521 '*,' 2 -522 '*-' 2 -523 '*.' 2 -524 '*/' 2 -525 '*:' 2 -526 '*=' 2 -527 '*>' 2 -528 '*\\' 2 -529 '*_' 2 -530 '*}' 2 -531 '+"' 2 -532 '+$' 2 -533 "+'" 2 -534 '+(' 2 -535 '+)' 2 -536 '++' 2 -537 '+,' 2 -538 '+-' 2 -539 '+.' 2 -540 '+/' 2 -541 '+=' 2 -542 '+[' 2 -543 '+\\' 2 -544 ',"' 2 -545 ',#' 2 -546 ',$' 2 -547 ',%' 2 -548 ",'" 2 -549 ',(' 2 -550 ',)' 2 -551 ',*' 2 -552 ',,' 2 -553 ',-' 2 -554 ',.' 2 -555 ',[' 2 -556 ',\\' 2 -557 ',_' 2 -558 ',{' 2 -559 '-"' 2 -560 '-$' 2 -561 '-%' 2 -562 "-'" 2 -563 '-(' 2 -564 '-)' 2 -565 '-*' 2 -566 '-+' 2 -567 '-,' 2 -568 '--' 2 -569 '-.' 2 -570 '-=' 2 -571 '->' 2 -572 '-[' 2 -573 '-\\' 2 -574 '-{' 2 -575 '."' 2 -576 '.$' 2 -577 '.%' 2 -578 ".'" 2 -579 '.(' 2 -580 '.)' 2 -581 '.*' 2 -582 '.+' 2 -583 '.,' 2 -584 '.-' 2 -585 '..' 2 -586 './' 2 -587 '.:' 2 -588 '.;' 2 -589 '.<' 2 -590 '.=' 2 -591 '.?' 2 -592 '.[' 2 -593 '.\\' 2 -594 '.]' 2 -595 '._' 2 -596 '.|' 2 -597 '/"' 2 -598 '/#' 2 -599 '/$' 2 -600 '/%' 2 -601 "/'" 2 -602 '/(' 2 -603 '/)' 2 -604 '/*' 2 -605 '/+' 2 -606 '/,' 2 -607 '/-' 2 -608 '/.' 2 -609 '//' 2 -610 '/:' 2 -611 '/<' 2 -612 '/>' 2 -613 '/?' 2 -614 '/@' 2 -615 '/[' 2 -616 '/\\' 2 -617 '/_' 2 -618 '/{' 2 -619 '/~' 2 -620 '00' 2 -621 '01' 2 -622 '02' 2 -623 '03' 2 -624 '04' 2 -625 '05' 2 -626 '06' 2 -627 '07' 2 -628 '08' 2 -629 '09' 2 -630 '10' 2 -631 '11' 2 -632 '12' 2 -633 '13' 2 -634 '14' 2 -635 '15' 2 -636 '16' 2 -637 '17' 2 -638 '18' 2 -639 '19' 2 -640 '20' 2 -641 '21' 2 -642 '22' 2 -643 '23' 2 -644 '24' 2 -645 '25' 2 -646 '26' 2 -647 '27' 2 -648 '28' 2 -649 '29' 2 -650 '30' 2 -651 '31' 2 -652 '32' 2 -653 '33' 2 -654 '34' 2 -655 '35' 2 -656 '36' 2 -657 '37' 2 -658 '38' 2 -659 '39' 2 -660 '40' 2 -661 '41' 2 -662 '42' 2 -663 '43' 2 -664 '44' 2 -665 '45' 2 -666 '46' 2 -667 '47' 2 -668 '48' 2 -669 '49' 2 -670 '50' 2 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'=_' 2 -777 '=`' 2 -778 '={' 2 -779 '>"' 2 -780 '>&' 2 -781 ">'" 2 -782 '>(' 2 -783 '>)' 2 -784 '>,' 2 -785 '>-' 2 -786 '>.' 2 -787 '>/' 2 -788 '>:' 2 -789 '>;' 2 -790 '><' 2 -791 '>=' 2 -792 '>>' 2 -793 '>[' 2 -794 '>\\' 2 -795 '>]' 2 -796 '>`' 2 -797 '>{' 2 -798 '?!' 2 -799 '?"' 2 -800 "?'" 2 -801 '?(' 2 -802 '?)' 2 -803 '?,' 2 -804 '?.' 2 -805 '?:' 2 -806 '?>' 2 -807 '??' 2 -808 '?\\' 2 -809 '@"' 2 -810 '@@' 2 -811 '@{' 2 -812 'AA' 2 -813 'AB' 2 -814 'AC' 2 -815 'AD' 2 -816 'AE' 2 -817 'AF' 2 -818 'AG' 2 -819 'AH' 2 -820 'AI' 2 -821 'AJ' 2 -822 'AK' 2 -823 'AL' 2 -824 'AM' 2 -825 'AN' 2 -826 'AO' 2 -827 'AP' 2 -828 'AQ' 2 -829 'AR' 2 -830 'AS' 2 -831 'AT' 2 -832 'AU' 2 -833 'AV' 2 -834 'AW' 2 -835 'AX' 2 -836 'AY' 2 -837 'AZ' 2 -838 'Ab' 2 -839 'Ac' 2 -840 'Ad' 2 -841 'Af' 2 -842 'Ag' 2 -843 'Ah' 2 -844 'Ai' 2 -845 'Aj' 2 -846 'Ak' 2 -847 'Al' 2 -848 'Am' 2 -849 'An' 2 -850 'Ao' 2 -851 'Ap' 2 -852 'Ar' 2 -853 'As' 2 -854 'At' 2 -855 'Au' 2 -856 'Av' 2 -857 'Aw' 2 -858 'Ax' 2 -859 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2 -2254 'vd' 2 -2255 've' 2 -2256 'vf' 2 -2257 'vg' 2 -2258 'vh' 2 -2259 'vi' 2 -2260 'vk' 2 -2261 'vl' 2 -2262 'vm' 2 -2263 'vn' 2 -2264 'vo' 2 -2265 'vp' 2 -2266 'vr' 2 -2267 'vs' 2 -2268 'vt' 2 -2269 'vu' 2 -2270 'vv' 2 -2271 'vw' 2 -2272 'vx' 2 -2273 'vy' 2 -2274 'wa' 2 -2275 'wb' 2 -2276 'wc' 2 -2277 'wd' 2 -2278 'we' 2 -2279 'wf' 2 -2280 'wg' 2 -2281 'wh' 2 -2282 'wi' 2 -2283 'wk' 2 -2284 'wl' 2 -2285 'wm' 2 -2286 'wn' 2 -2287 'wo' 2 -2288 'wp' 2 -2289 'wr' 2 -2290 'ws' 2 -2291 'wt' 2 -2292 'wu' 2 -2293 'ww' 2 -2294 'wx' 2 -2295 'wy' 2 -2296 'xA' 2 -2297 'xB' 2 -2298 'xC' 2 -2299 'xD' 2 -2300 'xE' 2 -2301 'xF' 2 -2302 'xa' 2 -2303 'xb' 2 -2304 'xc' 2 -2305 'xd' 2 -2306 'xe' 2 -2307 'xf' 2 -2308 'xg' 2 -2309 'xh' 2 -2310 'xi' 2 -2311 'xl' 2 -2312 'xm' 2 -2313 'xn' 2 -2314 'xo' 2 -2315 'xp' 2 -2316 'xr' 2 -2317 'xs' 2 -2318 'xt' 2 -2319 'xu' 2 -2320 'xx' 2 -2321 'xy' 2 -2322 'xz' 2 -2323 'ya' 2 -2324 'yb' 2 -2325 'yc' 2 -2326 'yd' 2 -2327 'ye' 2 -2328 'yg' 2 -2329 'yi' 2 -2330 'yk' 2 -2331 'yl' 2 -2332 'ym' 2 -2333 'yn' 2 -2334 'yo' 2 -2335 'yp' 2 -2336 'yr' 2 -2337 'ys' 2 -2338 'yt' 2 -2339 'yu' 2 -2340 'yw' 2 -2341 'yx' 2 -2342 'yy' 2 -2343 'yz' 2 -2344 'zA' 2 -2345 'za' 2 -2346 'zb' 2 -2347 'zc' 2 -2348 'zd' 2 -2349 'ze' 2 -2350 'zh' 2 -2351 'zi' 2 -2352 'zk' 2 -2353 'zl' 2 -2354 'zm' 2 -2355 'zn' 2 -2356 'zo' 2 -2357 'zr' 2 -2358 'zs' 2 -2359 'zt' 2 -2360 'zu' 2 -2361 'zw' 2 -2362 'zy' 2 -2363 'zz' 2 -2364 '{"' 2 -2365 '{$' 2 -2366 '{%' 2 -2367 "{'" 2 -2368 '{(' 2 -2369 '{-' 2 -2370 '{:' 2 -2371 '{@' 2 -2372 '{\\' 2 -2373 '{{' 2 -2374 '{|' 2 -2375 '{}' 2 -2376 '|$' 2 -2377 '|(' 2 -2378 '|-' 2 -2379 '|.' 2 -2380 '|\\' 2 -2381 '|^' 2 -2382 '||' 2 -2383 '}"' 2 -2384 '}$' 2 -2385 '}%' 2 -2386 '}&' 2 -2387 "}'" 2 -2388 '}(' 2 -2389 '})' 2 -2390 '}+' 2 -2391 '},' 2 -2392 '}-' 2 -2393 '}.' 2 -2394 '}/' 2 -2395 '}:' 2 -2396 '};' 2 -2397 '}<' 2 -2398 '}=' 2 -2399 '}>' 2 -2400 '}?' 2 -2401 '}[' 2 -2402 '}\\' 2 -2403 '}]' 2 -2404 '}_' 2 -2405 '}`' 2 -2406 '}{' 2 -2407 '}|' 2 -2408 '}}' 2 -2409 '~/' 2 -2410 '~\\' 2 -2411 '~~' 2 -2412 b'\x82\xac' 2 -2413 b'\x83\xbd' 2 -2414 b'\x86\x92' 2 -2415 b'\x88\x98' 2 -2416 b'\x8c\x80' 2 -2417 b'\x99\x82' 2 -2418 b'\x9d\xbc' 2 -2419 b'\xa3\xbc' 2 -2420 b'\xa6\x82' 2 -2421 b'\xb7\xb8' 2 -2422 b'\xbf\xbd' 2 -2423 '\x80' 2 -2424 '\x81' 2 -2425 '\x91' 2 -2426 '\x92' 2 -2427 '\x93' 2 -2428 '\x94' 2 -2429 '\x97' 2 -2430 '\xa0' 2 -2431 '¡' 2 -2432 '¢' 2 -2433 '£' 2 -2434 '¤' 2 -2435 '¥' 2 -2436 '¦' 2 -2437 '§' 2 -2438 '¨' 2 -2439 '©' 2 -2440 'ª' 2 -2441 '«' 2 -2442 '¬' 2 -2443 '\xad' 2 -2444 '®' 2 -2445 '¯' 2 -2446 '°' 2 -2447 '±' 2 -2448 '²' 2 -2449 '³' 2 -2450 '´' 2 -2451 'µ' 2 -2452 '¶' 2 -2453 '·' 2 -2454 '¸' 2 -2455 '¹' 2 -2456 'º' 2 -2457 '»' 2 -2458 '¼' 2 -2459 '½' 2 -2460 '¾' 2 -2461 '¿' 2 -2462 'À' 2 -2463 'Á' 2 -2464 'Â' 2 -2465 'Ã' 2 -2466 'Ä' 2 -2467 'Å' 2 -2468 'Æ' 2 -2469 'Ç' 2 -2470 'È' 2 -2471 'É' 2 -2472 'Ê' 2 -2473 'Ë' 2 -2474 'Ì' 2 -2475 'Í' 2 -2476 'Î' 2 -2477 'Ï' 2 -2478 'Ð' 2 -2479 'Ñ' 2 -2480 'Ò' 2 -2481 'Ó' 2 -2482 'Ô' 2 -2483 'Õ' 2 -2484 'Ö' 2 -2485 '×' 2 -2486 'Ø' 2 -2487 'Ù' 2 -2488 'Ú' 2 -2489 'Û' 2 -2490 'Ü' 2 -2491 'Ý' 2 -2492 'Þ' 2 -2493 'ß' 2 -2494 'à' 2 -2495 'á' 2 -2496 'â' 2 -2497 'ã' 2 -2498 'ä' 2 -2499 'å' 2 -2500 'æ' 2 -2501 'ç' 2 -2502 'è' 2 -2503 'é' 2 -2504 'ê' 2 -2505 'ë' 2 -2506 'ì' 2 -2507 'í' 2 -2508 'î' 2 -2509 'ï' 2 -2510 'ð' 2 -2511 'ñ' 2 -2512 'ò' 2 -2513 'ó' 2 -2514 'ô' 2 -2515 'õ' 2 -2516 'ö' 2 -2517 '÷' 2 -2518 'ø' 2 -2519 'ù' 2 -2520 'ú' 2 -2521 'û' 2 -2522 'ü' 2 -2523 'ý' 2 -2524 'þ' 2 -2525 'ÿ' 2 -2526 'Ā' 2 -2527 'ā' 2 -2528 'Ă' 2 -2529 'ă' 2 -2530 'ą' 2 -2531 'Ć' 2 -2532 'ć' 2 -2533 'ĉ' 2 -2534 'ċ' 2 -2535 'Č' 2 -2536 'č' 2 -2537 'Ď' 2 -2538 'ď' 2 -2539 'Đ' 2 -2540 'đ' 2 -2541 'Ē' 2 -2542 'ē' 2 -2543 'ĕ' 2 -2544 'Ė' 2 -2545 'ė' 2 -2546 'ę' 2 -2547 'Ě' 2 -2548 'ě' 2 -2549 'ĝ' 2 -2550 'ğ' 2 -2551 'Ġ' 2 -2552 'ġ' 2 -2553 'Ħ' 2 -2554 'ħ' 2 -2555 'ĩ' 2 -2556 'Ī' 2 -2557 'ī' 2 -2558 'ĭ' 2 -2559 'į' 2 -2560 'İ' 2 -2561 'ı' 2 -2562 'ķ' 2 -2563 'ļ' 2 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-2896 'ו' 2 -2897 'ז' 2 -2898 'ח' 2 -2899 'ט' 2 -2900 'י' 2 -2901 'ך' 2 -2902 'כ' 2 -2903 'ל' 2 -2904 'ם' 2 -2905 'מ' 2 -2906 'ן' 2 -2907 'נ' 2 -2908 'ס' 2 -2909 'ע' 2 -2910 'ף' 2 -2911 'פ' 2 -2912 'ץ' 2 -2913 'צ' 2 -2914 'ק' 2 -2915 'ר' 2 -2916 'ש' 2 -2917 'ת' 2 -2918 '،' 2 -2919 'ء' 2 -2920 'آ' 2 -2921 'أ' 2 -2922 'إ' 2 -2923 'ئ' 2 -2924 'ا' 2 -2925 'ب' 2 -2926 'ة' 2 -2927 'ت' 2 -2928 'ث' 2 -2929 'ج' 2 -2930 'ح' 2 -2931 'خ' 2 -2932 'د' 2 -2933 'ذ' 2 -2934 'ر' 2 -2935 'ز' 2 -2936 'س' 2 -2937 'ش' 2 -2938 'ص' 2 -2939 'ض' 2 -2940 'ط' 2 -2941 'ظ' 2 -2942 'ع' 2 -2943 'غ' 2 -2944 'ـ' 2 -2945 'ف' 2 -2946 'ق' 2 -2947 'ك' 2 -2948 'ل' 2 -2949 'م' 2 -2950 'ن' 2 -2951 'ه' 2 -2952 'و' 2 -2953 'ى' 2 -2954 'ي' 2 -2955 'ً' 2 -2956 'َ' 2 -2957 'ُ' 2 -2958 'ِ' 2 -2959 'ّ' 2 -2960 'ْ' 2 -2961 'پ' 2 -2962 'چ' 2 -2963 'ک' 2 -2964 'گ' 2 -2965 'ھ' 2 -2966 'ہ' 2 -2967 'ی' 2 -2968 'ے' 2 -2969 'ە' 2 -2970 'ܐ' 2 -2971 'ܝ' 2 -2972 '߬' 2 -2973 b'\xe0\xa4' 2 -2974 b'\xe0\xa5' 2 -2975 b'\xe0\xa6' 2 -2976 b'\xe0\xa7' 2 -2977 b'\xe0\xa8' 2 -2978 b'\xe0\xa9' 2 -2979 b'\xe0\xaa' 2 -2980 b'\xe0\xab' 2 -2981 b'\xe0\xac' 2 -2982 b'\xe0\xae' 2 -2983 b'\xe0\xaf' 2 -2984 b'\xe0\xb0' 2 -2985 b'\xe0\xb1' 2 -2986 b'\xe0\xb2' 2 -2987 b'\xe0\xb3' 2 -2988 b'\xe0\xb4' 2 -2989 b'\xe0\xb5' 2 -2990 b'\xe0\xb6' 2 -2991 b'\xe0\xb7' 2 -2992 b'\xe0\xb8' 2 -2993 b'\xe0\xb9' 2 -2994 b'\xe0\xba' 2 -2995 b'\xe0\xbc' 2 -2996 b'\xe0\xbd' 2 -2997 b'\xe1\x80' 2 -2998 b'\xe1\x83' 2 -2999 b'\xe1\x9e' 2 -3000 b'\xe1\x9f' 2 -3001 b'\xe1\xb8' 2 -3002 b'\xe1\xb9' 2 -3003 b'\xe1\xba' 2 -3004 b'\xe1\xbb' 2 -3005 b'\xe1\xbd' 2 -3006 b'\xe2\x80' 2 -3007 b'\xe2\x81' 2 -3008 b'\xe2\x82' 2 -3009 b'\xe2\x84' 2 -3010 b'\xe2\x86' 2 -3011 b'\xe2\x88' 2 -3012 b'\xe2\x89' 2 -3013 b'\xe2\x94' 2 -3014 b'\xe2\x95' 2 -3015 b'\xe2\x96' 2 -3016 b'\xe2\x97' 2 -3017 b'\xe2\x98' 2 -3018 b'\xe2\x99' 2 -3019 b'\xe2\x9c' 2 -3020 b'\xe2\x9d' 2 -3021 b'\xe3\x80' 2 -3022 b'\xe3\x81' 2 -3023 b'\xe3\x82' 2 -3024 b'\xe3\x83' 2 -3025 b'\xe4\xb8' 2 -3026 b'\xe4\xb9' 2 -3027 b'\xe4\xba' 2 -3028 b'\xe4\xbb' 2 -3029 b'\xe4\xbc' 2 -3030 b'\xe4\xbd' 2 -3031 b'\xe4\xbe' 2 -3032 b'\xe4\xbf' 2 -3033 b'\xe5\x80' 2 -3034 b'\xe5\x81' 2 -3035 b'\xe5\x82' 2 -3036 b'\xe5\x83' 2 -3037 b'\xe5\x84' 2 -3038 b'\xe5\x85' 2 -3039 b'\xe5\x86' 2 -3040 b'\xe5\x87' 2 -3041 b'\xe5\x88' 2 -3042 b'\xe5\x89' 2 -3043 b'\xe5\x8a' 2 -3044 b'\xe5\x8b' 2 -3045 b'\xe5\x8c' 2 -3046 b'\xe5\x8d' 2 -3047 b'\xe5\x8e' 2 -3048 b'\xe5\x8f' 2 -3049 b'\xe5\x90' 2 -3050 b'\xe5\x91' 2 -3051 b'\xe5\x92' 2 -3052 b'\xe5\x93' 2 -3053 b'\xe5\x94' 2 -3054 b'\xe5\x95' 2 -3055 b'\xe5\x96' 2 -3056 b'\xe5\x99' 2 -3057 b'\xe5\x9b' 2 -3058 b'\xe5\x9c' 2 -3059 b'\xe5\x9d' 2 -3060 b'\xe5\x9e' 2 -3061 b'\xe5\x9f' 2 -3062 b'\xe5\xa0' 2 -3063 b'\xe5\xa1' 2 -3064 b'\xe5\xa2' 2 -3065 b'\xe5\xa3' 2 -3066 b'\xe5\xa4' 2 -3067 b'\xe5\xa5' 2 -3068 b'\xe5\xa6' 2 -3069 b'\xe5\xa7' 2 -3070 b'\xe5\xad' 2 -3071 b'\xe5\xae' 2 -3072 b'\xe5\xaf' 2 -3073 b'\xe5\xb0' 2 -3074 b'\xe5\xb1' 2 -3075 b'\xe5\xb2' 2 -3076 b'\xe5\xb7' 2 -3077 b'\xe5\xb8' 2 -3078 b'\xe5\xb9' 2 -3079 b'\xe5\xba' 2 -3080 b'\xe5\xbb' 2 -3081 b'\xe5\xbc' 2 -3082 b'\xe5\xbd' 2 -3083 b'\xe5\xbe' 2 -3084 b'\xe5\xbf' 2 -3085 b'\xe6\x80' 2 -3086 b'\xe6\x81' 2 -3087 b'\xe6\x82' 2 -3088 b'\xe6\x83' 2 -3089 b'\xe6\x84' 2 -3090 b'\xe6\x85' 2 -3091 b'\xe6\x88' 2 -3092 b'\xe6\x89' 2 -3093 b'\xe6\x8a' 2 -3094 b'\xe6\x8b' 2 -3095 b'\xe6\x8c' 2 -3096 b'\xe6\x8d' 2 -3097 b'\xe6\x8e' 2 -3098 b'\xe6\x8f' 2 -3099 b'\xe6\x91' 2 -3100 b'\xe6\x92' 2 -3101 b'\xe6\x93' 2 -3102 b'\xe6\x94' 2 -3103 b'\xe6\x95' 2 -3104 b'\xe6\x96' 2 -3105 b'\xe6\x97' 2 -3106 b'\xe6\x98' 2 -3107 b'\xe6\x99' 2 -3108 b'\xe6\x9a' 2 -3109 b'\xe6\x9b' 2 -3110 b'\xe6\x9c' 2 -3111 b'\xe6\x9d' 2 -3112 b'\xe6\x9e' 2 -3113 b'\xe6\x9f' 2 -3114 b'\xe6\xa0' 2 -3115 b'\xe6\xa1' 2 -3116 b'\xe6\xa2' 2 -3117 b'\xe6\xa3' 2 -3118 b'\xe6\xa5' 2 -3119 b'\xe6\xa7' 2 -3120 b'\xe6\xa8' 2 -3121 b'\xe6\xa9' 2 -3122 b'\xe6\xac' 2 -3123 b'\xe6\xad' 2 -3124 b'\xe6\xae' 2 -3125 b'\xe6\xaf' 2 -3126 b'\xe6\xb0' 2 -3127 b'\xe6\xb1' 2 -3128 b'\xe6\xb2' 2 -3129 b'\xe6\xb3' 2 -3130 b'\xe6\xb4' 2 -3131 b'\xe6\xb5' 2 -3132 b'\xe6\xb6' 2 -3133 b'\xe6\xb7' 2 -3134 b'\xe6\xb8' 2 -3135 b'\xe6\xb9' 2 -3136 b'\xe6\xba' 2 -3137 b'\xe6\xbb' 2 -3138 b'\xe6\xbc' 2 -3139 b'\xe7\x81' 2 -3140 b'\xe7\x82' 2 -3141 b'\xe7\x84' 2 -3142 b'\xe7\x88' 2 -3143 b'\xe7\x89' 2 -3144 b'\xe7\x8a' 2 -3145 b'\xe7\x8e' 2 -3146 b'\xe7\x8f' 2 -3147 b'\xe7\x90' 2 -3148 b'\xe7\x94' 2 -3149 b'\xe7\x95' 2 -3150 b'\xe7\x97' 2 -3151 b'\xe7\x99' 2 -3152 b'\xe7\x9a' 2 -3153 b'\xe7\x9b' 2 -3154 b'\xe7\x9c' 2 -3155 b'\xe7\x9d' 2 -3156 b'\xe7\x9f' 2 -3157 b'\xe7\xa0' 2 -3158 b'\xe7\xa1' 2 -3159 b'\xe7\xa2' 2 -3160 b'\xe7\xa4' 2 -3161 b'\xe7\xa5' 2 -3162 b'\xe7\xa6' 2 -3163 b'\xe7\xa7' 2 -3164 b'\xe7\xa8' 2 -3165 b'\xe7\xa9' 2 -3166 b'\xe7\xaa' 2 -3167 b'\xe7\xab' 2 -3168 b'\xe7\xac' 2 -3169 b'\xe7\xad' 2 -3170 b'\xe7\xae' 2 -3171 b'\xe7\xaf' 2 -3172 b'\xe7\xb1' 2 -3173 b'\xe7\xb2' 2 -3174 b'\xe7\xb3' 2 -3175 b'\xe7\xb4' 2 -3176 b'\xe7\xb5' 2 -3177 b'\xe7\xb6' 2 -3178 b'\xe7\xb7' 2 -3179 b'\xe7\xba' 2 -3180 b'\xe7\xbb' 2 -3181 b'\xe7\xbc' 2 -3182 b'\xe7\xbd' 2 -3183 b'\xe7\xbe' 2 -3184 b'\xe7\xbf' 2 -3185 b'\xe8\x80' 2 -3186 b'\xe8\x81' 2 -3187 b'\xe8\x82' 2 -3188 b'\xe8\x83' 2 -3189 b'\xe8\x84' 2 -3190 b'\xe8\x87' 2 -3191 b'\xe8\x88' 2 -3192 b'\xe8\x89' 2 -3193 b'\xe8\x8a' 2 -3194 b'\xe8\x8b' 2 -3195 b'\xe8\x8c' 2 -3196 b'\xe8\x8d' 2 -3197 b'\xe8\x8e' 2 -3198 b'\xe8\x90' 2 -3199 b'\xe8\x99' 2 -3200 b'\xe8\xa1' 2 -3201 b'\xe8\xa2' 2 -3202 b'\xe8\xa3' 2 -3203 b'\xe8\xa6' 2 -3204 b'\xe8\xa7' 2 -3205 b'\xe8\xa8' 2 -3206 b'\xe8\xa9' 2 -3207 b'\xe8\xaa' 2 -3208 b'\xe8\xab' 2 -3209 b'\xe8\xad' 2 -3210 b'\xe8\xae' 2 -3211 b'\xe8\xaf' 2 -3212 b'\xe8\xb0' 2 -3213 b'\xe8\xb1' 2 -3214 b'\xe8\xb2' 2 -3215 b'\xe8\xb3' 2 -3216 b'\xe8\xb4' 2 -3217 b'\xe8\xb5' 2 -3218 b'\xe8\xb6' 2 -3219 b'\xe8\xb7' 2 -3220 b'\xe8\xba' 2 -3221 b'\xe8\xbb' 2 -3222 b'\xe8\xbc' 2 -3223 b'\xe8\xbd' 2 -3224 b'\xe8\xbe' 2 -3225 b'\xe8\xbf' 2 -3226 b'\xe9\x80' 2 -3227 b'\xe9\x81' 2 -3228 b'\xe9\x82' 2 -3229 b'\xe9\x83' 2 -3230 b'\xe9\x85' 2 -3231 b'\xe9\x87' 2 -3232 b'\xe9\x8c' 2 -3233 b'\xe9\x92' 2 -3234 b'\xe9\x93' 2 -3235 b'\xe9\x94' 2 -3236 b'\xe9\x95' 2 -3237 b'\xe9\x96' 2 -3238 b'\xe9\x97' 2 -3239 b'\xe9\x98' 2 -3240 b'\xe9\x99' 2 -3241 b'\xe9\x9a' 2 -3242 b'\xe9\x9b' 2 -3243 b'\xe9\x9c' 2 -3244 b'\xe9\x9d' 2 -3245 b'\xe9\x9f' 2 -3246 b'\xe9\xa0' 2 -3247 b'\xe9\xa1' 2 -3248 b'\xe9\xa2' 2 -3249 b'\xe9\xa3' 2 -3250 b'\xe9\xa6' 2 -3251 b'\xe9\xa9' 2 -3252 b'\xe9\xaa' 2 -3253 b'\xe9\xab' 2 -3254 b'\xe9\xbb' 2 -3255 b'\xe9\xbe' 2 -3256 b'\xea\xb0' 2 -3257 b'\xea\xb1' 2 -3258 b'\xea\xb2' 2 -3259 b'\xea\xb3' 2 -3260 b'\xea\xb5' 2 -3261 b'\xea\xb7' 2 -3262 b'\xea\xb8' 2 -3263 b'\xea\xb9' 2 -3264 b'\xeb\x82' 2 -3265 b'\xeb\x84' 2 -3266 b'\xeb\x85' 2 -3267 b'\xeb\x8a' 2 -3268 b'\xeb\x8b' 2 -3269 b'\xeb\x8d' 2 -3270 b'\xeb\x8f' 2 -3271 b'\xeb\x90' 2 -3272 b'\xeb\x93' 2 -3273 b'\xeb\x9e' 2 -3274 b'\xeb\x9f' 2 -3275 b'\xeb\xa0' 2 -3276 b'\xeb\xa1' 2 -3277 b'\xeb\xa3' 2 -3278 b'\xeb\xa5' 2 -3279 b'\xeb\xa6' 2 -3280 b'\xeb\xa7' 2 -3281 b'\xeb\xa9' 2 -3282 b'\xeb\xaa' 2 -3283 b'\xeb\xb0' 2 -3284 b'\xeb\xb2' 2 -3285 b'\xeb\xb3' 2 -3286 b'\xeb\xb6' 2 -3287 b'\xec\x83' 2 -3288 b'\xec\x84' 2 -3289 b'\xec\x85' 2 -3290 b'\xec\x86' 2 -3291 b'\xec\x8a' 2 -3292 b'\xec\x8b' 2 -3293 b'\xec\x95' 2 -3294 b'\xec\x96' 2 -3295 b'\xec\x97' 2 -3296 b'\xec\x98' 2 -3297 b'\xec\x99' 2 -3298 b'\xec\x9a' 2 -3299 b'\xec\x9b' 2 -3300 b'\xec\x9c' 2 -3301 b'\xec\x9d' 2 -3302 b'\xec\x9e' 2 -3303 b'\xec\xa0' 2 -3304 b'\xec\xa7' 2 -3305 b'\xec\xb0' 2 -3306 b'\xec\xb2' 2 -3307 b'\xec\xb9' 2 -3308 b'\xed\x83' 2 -3309 b'\xed\x8a' 2 -3310 b'\xed\x8c' 2 -3311 b'\xed\x95' 2 -3312 b'\xed\x98' 2 -3313 b'\xed\x99' 2 -3314 b'\xef\xb8' 2 -3315 b'\xef\xbc' 2 -3316 b'\xef\xbd' 2 -3317 b'\xef\xbf' 2 -3318 b'\xf0\x9d' 2 -3319 b'\xf0\x9f' 2 -3320 '\t\t\t' 3 -3321 '\t\t\n' 3 -3322 '\t\t ' 3 -3323 '\t ' 3 -3324 '\n\t\t' 3 -3325 '\n\t\n' 3 -3326 '\n\t ' 3 -3327 '\n\n\t' 3 -3328 '\n\n\n' 3 -3329 '\n\n ' 3 -3330 '\n \n' 3 -3331 '\n ' 3 -3332 '\r\n\t' 3 -3333 '\r\n ' 3 -3334 ' \t\t' 3 -3335 ' \n\t' 3 -3336 ' \n\n' 3 -3337 ' \n ' 3 -3338 ' \r\n' 3 -3339 ' \n' 3 -3340 ' ' 3 -3341 ' !!' 3 -3342 ' !(' 3 -3343 ' !=' 3 -3344 ' ""' 3 -3345 ' "#' 3 -3346 ' "$' 3 -3347 ' "%' 3 -3348 ' "&' 3 -3349 ' "\'' 3 -3350 ' "(' 3 -3351 ' ")' 3 -3352 ' "*' 3 -3353 ' "+' 3 -3354 ' ",' 3 -3355 ' "-' 3 -3356 ' ".' 3 -3357 ' "/' 3 -3358 ' ":' 3 -3359 ' ";' 3 -3360 ' "<' 3 -3361 ' ">' 3 -3362 ' "@' 3 -3363 ' "[' 3 -3364 ' "\\' 3 -3365 ' "]' 3 -3366 ' "^' 3 -3367 ' "_' 3 -3368 ' "`' 3 -3369 ' "{' 3 -3370 ' "~' 3 -3371 ' #"' 3 -3372 ' ##' 3 -3373 ' #(' 3 -3374 ' #:' 3 -3375 ' #[' 3 -3376 ' #{' 3 -3377 ' $$' 3 -3378 ' $(' 3 -3379 ' $,' 3 -3380 ' $.' 3 -3381 ' $\\' 3 -3382 ' $_' 3 -3383 ' ${' 3 -3384 ' %%' 3 -3385 ' %.' 3 -3386 ' %>' 3 -3387 ' %{' 3 -3388 ' %}' 3 -3389 ' &#' 3 -3390 ' &$' 3 -3391 ' &&' 3 -3392 ' &=' 3 -3393 ' \'"' 3 -3394 " '#" 3 -3395 " '$" 3 -3396 " '%" 3 -3397 " '&" 3 -3398 " ''" 3 -3399 " ')" 3 -3400 " '*" 3 -3401 " '+" 3 -3402 " '," 3 -3403 " '-" 3 -3404 " '." 3 -3405 " '/" 3 -3406 " ':" 3 -3407 " ';" 3 -3408 " '<" 3 -3409 " '@" 3 -3410 " '[" 3 -3411 " '\\" 3 -3412 " '_" 3 -3413 " '{" 3 -3414 ' (!' 3 -3415 ' ("' 3 -3416 ' (#' 3 -3417 ' ($' 3 -3418 ' (%' 3 -3419 ' (&' 3 -3420 " ('" 3 -3421 ' ((' 3 -3422 ' ()' 3 -3423 ' (*' 3 -3424 ' (+' 3 -3425 ' (-' 3 -3426 ' (.' 3 -3427 ' (/' 3 -3428 ' (:' 3 -3429 ' (;' 3 -3430 ' (<' 3 -3431 ' (=' 3 -3432 ' (>' 3 -3433 ' (?' 3 -3434 ' (@' 3 -3435 ' ([' 3 -3436 ' (\\' 3 -3437 ' (_' 3 -3438 ' (`' 3 -3439 ' ({' 3 -3440 ' ))' 3 -3441 ' ),' 3 -3442 ' ).' 3 -3443 ' ):' 3 -3444 ' );' 3 -3445 ' ){' 3 -3446 ' *(' 3 -3447 ' *)' 3 -3448 ' **' 3 -3449 ' *,' 3 -3450 ' *.' 3 -3451 ' */' 3 -3452 ' *=' 3 -3453 ' *[' 3 -3454 ' +"' 3 -3455 ' ++' 3 -3456 ' +=' 3 -3457 ' +\\' 3 -3458 ' ,"' 3 -3459 ' -(' 3 -3460 ' --' 3 -3461 ' -.' 3 -3462 ' -=' 3 -3463 ' ->' 3 -3464 ' ."' 3 -3465 ' ..' 3 -3466 ' ./' 3 -3467 ' .=' 3 -3468 ' /*' 3 -3469 ' //' 3 -3470 ' /=' 3 -3471 ' />' 3 -3472 ' /\\' 3 -3473 ' 00' 3 -3474 ' 01' 3 -3475 ' 02' 3 -3476 ' 03' 3 -3477 ' 04' 3 -3478 ' 05' 3 -3479 ' 06' 3 -3480 ' 07' 3 -3481 ' 08' 3 -3482 ' 09' 3 -3483 ' 10' 3 -3484 ' 11' 3 -3485 ' 12' 3 -3486 ' 13' 3 -3487 ' 14' 3 -3488 ' 15' 3 -3489 ' 16' 3 -3490 ' 17' 3 -3491 ' 18' 3 -3492 ' 19' 3 -3493 ' 20' 3 -3494 ' 21' 3 -3495 ' 22' 3 -3496 ' 23' 3 -3497 ' 24' 3 -3498 ' 25' 3 -3499 ' 26' 3 -3500 ' 27' 3 -3501 ' 28' 3 -3502 ' 29' 3 -3503 ' 30' 3 -3504 ' 31' 3 -3505 ' 32' 3 -3506 ' 33' 3 -3507 ' 34' 3 -3508 ' 35' 3 -3509 ' 36' 3 -3510 ' 37' 3 -3511 ' 38' 3 -3512 ' 39' 3 -3513 ' 40' 3 -3514 ' 41' 3 -3515 ' 42' 3 -3516 ' 43' 3 -3517 ' 44' 3 -3518 ' 45' 3 -3519 ' 46' 3 -3520 ' 47' 3 -3521 ' 48' 3 -3522 ' 49' 3 -3523 ' 50' 3 -3524 ' 51' 3 -3525 ' 52' 3 -3526 ' 53' 3 -3527 ' 54' 3 -3528 ' 55' 3 -3529 ' 56' 3 -3530 ' 57' 3 -3531 ' 58' 3 -3532 ' 59' 3 -3533 ' 60' 3 -3534 ' 61' 3 -3535 ' 62' 3 -3536 ' 63' 3 -3537 ' 64' 3 -3538 ' 65' 3 -3539 ' 66' 3 -3540 ' 67' 3 -3541 ' 68' 3 -3542 ' 69' 3 -3543 ' 70' 3 -3544 ' 71' 3 -3545 ' 72' 3 -3546 ' 73' 3 -3547 ' 74' 3 -3548 ' 75' 3 -3549 ' 76' 3 -3550 ' 77' 3 -3551 ' 78' 3 -3552 ' 79' 3 -3553 ' 80' 3 -3554 ' 81' 3 -3555 ' 82' 3 -3556 ' 83' 3 -3557 ' 84' 3 -3558 ' 85' 3 -3559 ' 86' 3 -3560 ' 87' 3 -3561 ' 88' 3 -3562 ' 89' 3 -3563 ' 90' 3 -3564 ' 91' 3 -3565 ' 92' 3 -3566 ' 93' 3 -3567 ' 94' 3 -3568 ' 95' 3 -3569 ' 96' 3 -3570 ' 97' 3 -3571 ' 98' 3 -3572 ' 99' 3 -3573 ' :"' 3 -3574 ' :(' 3 -3575 ' :)' 3 -3576 ' :-' 3 -3577 ' ::' 3 -3578 ' :=' 3 -3579 ' ;)' 3 -3580 ' ;;' 3 -3581 ' ' 3 -3588 ' ' 3 -3592 ' =\\' 3 -3593 ' =~' 3 -3594 ' >=' 3 -3595 ' >>' 3 -3596 ' ?,' 3 -3597 ' ?>' 3 -3598 ' ??' 3 -3599 ' @"' 3 -3600 ' @@' 3 -3601 ' AA' 3 -3602 ' AB' 3 -3603 ' AC' 3 -3604 ' AD' 3 -3605 ' AE' 3 -3606 ' AF' 3 -3607 ' AG' 3 -3608 ' AH' 3 -3609 ' AI' 3 -3610 ' AJ' 3 -3611 ' AK' 3 -3612 ' AL' 3 -3613 ' AM' 3 -3614 ' AN' 3 -3615 ' AO' 3 -3616 ' AP' 3 -3617 ' AQ' 3 -3618 ' AR' 3 -3619 ' AS' 3 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' CJ' 3 -3692 ' CK' 3 -3693 ' CL' 3 -3694 ' CM' 3 -3695 ' CN' 3 -3696 ' CO' 3 -3697 ' CP' 3 -3698 ' CR' 3 -3699 ' CS' 3 -3700 ' CT' 3 -3701 ' CU' 3 -3702 ' CV' 3 -3703 ' CW' 3 -3704 ' CX' 3 -3705 ' CY' 3 -3706 ' Ca' 3 -3707 ' Cd' 3 -3708 ' Ce' 3 -3709 ' Cf' 3 -3710 ' Ch' 3 -3711 ' Ci' 3 -3712 ' Cl' 3 -3713 ' Co' 3 -3714 ' Cp' 3 -3715 ' Cr' 3 -3716 ' Cs' 3 -3717 ' Ct' 3 -3718 ' Cu' 3 -3719 ' Cy' 3 -3720 ' Cz' 3 -3721 ' DA' 3 -3722 ' DB' 3 -3723 ' DC' 3 -3724 ' DD' 3 -3725 ' DE' 3 -3726 ' DF' 3 -3727 ' DG' 3 -3728 ' DH' 3 -3729 ' DI' 3 -3730 ' DJ' 3 -3731 ' DK' 3 -3732 ' DL' 3 -3733 ' DM' 3 -3734 ' DN' 3 -3735 ' DO' 3 -3736 ' DP' 3 -3737 ' DR' 3 -3738 ' DS' 3 -3739 ' DT' 3 -3740 ' DU' 3 -3741 ' DV' 3 -3742 ' DW' 3 -3743 ' DX' 3 -3744 ' Da' 3 -3745 ' Db' 3 -3746 ' De' 3 -3747 ' Dh' 3 -3748 ' Di' 3 -3749 ' Dj' 3 -3750 ' Do' 3 -3751 ' Dr' 3 -3752 ' Du' 3 -3753 ' Dw' 3 -3754 ' Dy' 3 -3755 ' EA' 3 -3756 ' EB' 3 -3757 ' EC' 3 -3758 ' ED' 3 -3759 ' EE' 3 -3760 ' EF' 3 -3761 ' EG' 3 -3762 ' EH' 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Pat' 4 -20629 ' Pav' 4 -20630 ' Paw' 4 -20631 ' Pay' 4 -20632 ' Paz' 4 -20633 ' Pdf' 4 -20634 ' Pec' 4 -20635 ' Ped' 4 -20636 ' Peg' 4 -20637 ' Pel' 4 -20638 ' Pen' 4 -20639 ' Pep' 4 -20640 ' Per' 4 -20641 ' Pes' 4 -20642 ' Pet' 4 -20643 ' PhD' 4 -20644 ' Phi' 4 -20645 ' Pho' 4 -20646 ' Pic' 4 -20647 ' Pie' 4 -20648 ' Pig' 4 -20649 ' Pik' 4 -20650 ' Pil' 4 -20651 ' Pin' 4 -20652 ' Pip' 4 -20653 ' Pir' 4 -20654 ' Pis' 4 -20655 ' Pit' 4 -20656 ' Pix' 4 -20657 ' Ple' 4 -20658 ' Ply' 4 -20659 ' Pod' 4 -20660 ' Pok' 4 -20661 ' Pol' 4 -20662 ' Pom' 4 -20663 ' Pon' 4 -20664 ' Pop' 4 -20665 ' Por' 4 -20666 ' Pos' 4 -20667 ' Pot' 4 -20668 ' Pow' 4 -20669 ' Poz' 4 -20670 ' Pra' 4 -20671 ' Pre' 4 -20672 ' Pri' 4 -20673 ' Pro' 4 -20674 ' Psy' 4 -20675 ' Pub' 4 -20676 ' Pul' 4 -20677 ' Pun' 4 -20678 ' Pur' 4 -20679 ' Put' 4 -20680 ' Pé' 4 -20681 ' QUE' 4 -20682 ' Que' 4 -20683 ' Qui' 4 -20684 ' RAD' 4 -20685 ' RAF' 4 -20686 ' RAM' 4 -20687 ' RAW' 4 -20688 ' RBI' 4 -20689 ' REC' 4 -20690 ' RED' 4 -20691 ' REF' 4 -20692 ' REG' 4 -20693 ' REL' 4 -20694 ' REM' 4 -20695 ' RES' 4 -20696 ' RET' 4 -20697 ' RFC' 4 -20698 ' RGB' 4 -20699 ' RIP' 4 -20700 ' RMS' 4 -20701 ' RNA' 4 -20702 ' ROC' 4 -20703 ' ROI' 4 -20704 ' ROM' 4 -20705 ' ROS' 4 -20706 ' ROT' 4 -20707 ' RPC' 4 -20708 ' RPG' 4 -20709 ' RPM' 4 -20710 ' RSA' 4 -20711 ' RSS' 4 -20712 ' RUN' 4 -20713 ' Rab' 4 -20714 ' Rac' 4 -20715 ' Rad' 4 -20716 ' Raf' 4 -20717 ' Rag' 4 -20718 ' Rah' 4 -20719 ' Raj' 4 -20720 ' Rak' 4 -20721 ' Ram' 4 -20722 ' Ran' 4 -20723 ' Rao' 4 -20724 ' Rap' 4 -20725 ' Ras' 4 -20726 ' Rat' 4 -20727 ' Rav' 4 -20728 ' Raw' 4 -20729 ' Ray' 4 -20730 ' Raz' 4 -20731 ' Reb' 4 -20732 ' Rec' 4 -20733 ' Red' 4 -20734 ' Ref' 4 -20735 ' Reg' 4 -20736 ' Rei' 4 -20737 ' Rel' 4 -20738 ' Rem' 4 -20739 ' Ren' 4 -20740 ' Rep' 4 -20741 ' Res' 4 -20742 ' Ret' 4 -20743 ' Rev' 4 -20744 ' Rew' 4 -20745 ' Rex' 4 -20746 ' Rey' 4 -20747 ' Rhe' 4 -20748 ' Rib' 4 -20749 ' Ric' 4 -20750 ' Rid' 4 -20751 ' Rif' 4 -20752 ' Rig' 4 -20753 ' Rim' 4 -20754 ' Rin' 4 -20755 ' Rio' 4 -20756 ' Rip' 4 -20757 ' Ris' 4 -20758 ' Rit' 4 -20759 ' Riv' 4 -20760 ' Rob' 4 -20761 ' Roc' 4 -20762 ' Rod' 4 -20763 ' Rog' 4 -20764 ' Roh' 4 -20765 ' Rol' 4 -20766 ' Rom' 4 -20767 ' Ron' 4 -20768 ' Ros' 4 -20769 ' Rot' 4 -20770 ' Rou' 4 -20771 ' Row' 4 -20772 ' Rox' 4 -20773 ' Roy' 4 -20774 ' Rub' 4 -20775 ' Rud' 4 -20776 ' Rue' 4 -20777 ' Rug' 4 -20778 ' Rum' 4 -20779 ' Run' 4 -20780 ' Rus' 4 -20781 ' Rut' 4 -20782 ' Ré' 4 -20783 ' Rö' 4 -20784 ' SAF' 4 -20785 ' SAL' 4 -20786 ' SAM' 4 -20787 ' SAN' 4 -20788 ' SAP' 4 -20789 ' SAR' 4 -20790 ' SAS' 4 -20791 ' SAT' 4 -20792 ' SCH' 4 -20793 ' SCI' 4 -20794 ' SCM' 4 -20795 ' SCO' 4 -20796 ' SDK' 4 -20797 ' SDL' 4 -20798 ' SDS' 4 -20799 ' SEC' 4 -20800 ' SEE' 4 -20801 ' SEL' 4 -20802 ' SEM' 4 -20803 ' SEO' 4 -20804 ' SER' 4 -20805 ' SES' 4 -20806 ' SET' 4 -20807 ' SGD' 4 -20808 ' SHA' 4 -20809 ' SHE' 4 -20810 ' SHO' 4 -20811 ' SIG' 4 -20812 ' SIL' 4 -20813 ' SIM' 4 -20814 ' SIP' 4 -20815 ' SMB' 4 -20816 ' SMS' 4 -20817 ' SNP' 4 -20818 ' SOC' 4 -20819 ' SOL' 4 -20820 ' SOM' 4 -20821 ' SOS' 4 -20822 ' SPD' 4 -20823 ' SPE' 4 -20824 ' SPI' 4 -20825 ' SPR' 4 -20826 ' SQL' 4 -20827 ' SSD' 4 -20828 ' SSH' 4 -20829 ' SSL' 4 -20830 ' STD' 4 -20831 ' STE' 4 -20832 ' STR' 4 -20833 ' SUB' 4 -20834 ' SUM' 4 -20835 ' SUN' 4 -20836 ' SUP' 4 -20837 ' SUR' 4 -20838 ' SUS' 4 -20839 ' SUV' 4 -20840 ' SVG' 4 -20841 ' SVM' 4 -20842 ' Sab' 4 -20843 ' Sac' 4 -20844 ' Sad' 4 -20845 ' Saf' 4 -20846 ' Sag' 4 -20847 ' Sah' 4 -20848 ' Sai' 4 -20849 ' Sak' 4 -20850 ' Sal' 4 -20851 ' Sam' 4 -20852 ' San' 4 -20853 ' Sap' 4 -20854 ' Sar' 4 -20855 ' Sas' 4 -20856 ' Sat' 4 -20857 ' Sau' 4 -20858 ' Sav' 4 -20859 ' Saw' 4 -20860 ' Sax' 4 -20861 ' Say' 4 -20862 ' Sch' 4 -20863 ' Sci' 4 -20864 ' Sco' 4 -20865 ' Scr' 4 -20866 ' Sea' 4 -20867 ' Sec' 4 -20868 ' Sed' 4 -20869 ' See' 4 -20870 ' Seg' 4 -20871 ' Sek' 4 -20872 ' Sel' 4 -20873 ' Sem' 4 -20874 ' Sen' 4 -20875 ' Sep' 4 -20876 ' Seq' 4 -20877 ' Ser' 4 -20878 ' Ses' 4 -20879 ' Set' 4 -20880 ' Sew' 4 -20881 ' Sex' 4 -20882 ' Sey' 4 -20883 ' Sgt' 4 -20884 ' Sha' 4 -20885 ' She' 4 -20886 ' Shi' 4 -20887 ' Sho' 4 -20888 ' Sic' 4 -20889 ' Sid' 4 -20890 ' Sie' 4 -20891 ' Sig' 4 -20892 ' Sik' 4 -20893 ' Sil' 4 -20894 ' Sim' 4 -20895 ' Sin' 4 -20896 ' Sir' 4 -20897 ' Sit' 4 -20898 ' Six' 4 -20899 ' Ske' 4 -20900 ' Ski' 4 -20901 ' Sky' 4 -20902 ' Sob' 4 -20903 ' Soc' 4 -20904 ' Sof' 4 -20905 ' Sok' 4 -20906 ' Sol' 4 -20907 ' Som' 4 -20908 ' Son' 4 -20909 ' Sor' 4 -20910 ' Sou' 4 -20911 ' Sov' 4 -20912 ' Sox' 4 -20913 ' Soy' 4 -20914 ' Spa' 4 -20915 ' Spe' 4 -20916 ' Spl' 4 -20917 ' Spo' 4 -20918 ' Spr' 4 -20919 ' Spy' 4 -20920 ' Sql' 4 -20921 ' Squ' 4 -20922 ' Sri' 4 -20923 ' Sta' 4 -20924 ' Ste' 4 -20925 ' Sto' 4 -20926 ' Str' 4 -20927 ' Sty' 4 -20928 ' Sub' 4 -20929 ' Suc' 4 -20930 ' Sud' 4 -20931 ' Sue' 4 -20932 ' Sug' 4 -20933 ' Suk' 4 -20934 ' Sul' 4 -20935 ' Sum' 4 -20936 ' Sun' 4 -20937 ' Sup' 4 -20938 ' Sur' 4 -20939 ' Sus' 4 -20940 ' Suz' 4 -20941 ' Swe' 4 -20942 ' Syd' 4 -20943 ' Syl' 4 -20944 ' Sym' 4 -20945 ' Syn' 4 -20946 ' Sys' 4 -20947 ' Sé' 4 -20948 ' Sü' 4 -20949 ' TAB' 4 -20950 ' TAG' 4 -20951 ' TAM' 4 -20952 ' TCP' 4 -20953 ' TED' 4 -20954 ' TEM' 4 -20955 ' TER' 4 -20956 ' THE' 4 -20957 ' TIM' 4 -20958 ' TLS' 4 -20959 ' TOD' 4 -20960 ' TOP' 4 -20961 ' TPP' 4 -20962 ' TRA' 4 -20963 ' TRE' 4 -20964 ' TRI' 4 -20965 ' TWO' 4 -20966 ' Tab' 4 -20967 ' Tac' 4 -20968 ' Tag' 4 -20969 ' Tah' 4 -20970 ' Tai' 4 -20971 ' Taj' 4 -20972 ' Tak' 4 -20973 ' Tal' 4 -20974 ' Tam' 4 -20975 ' Tan' 4 -20976 ' Tao' 4 -20977 ' Tap' 4 -20978 ' Tar' 4 -20979 ' Tas' 4 -20980 ' Tat' 4 -20981 ' Tau' 4 -20982 ' Tax' 4 -20983 ' Tay' 4 -20984 ' Tea' 4 -20985 ' Tec' 4 -20986 ' Ted' 4 -20987 ' Teh' 4 -20988 ' Tek' 4 -20989 ' Tel' 4 -20990 ' Tem' 4 -20991 ' Ten' 4 -20992 ' Ter' 4 -20993 ' Tes' 4 -20994 ' Tet' 4 -20995 ' Tex' 4 -20996 ' The' 4 -20997 ' Thi' 4 -20998 ' Thr' 4 -20999 ' Thu' 4 -21000 ' Thy' 4 -21001 ' Tib' 4 -21002 ' Tie' 4 -21003 ' Tig' 4 -21004 ' Tik' 4 -21005 ' Til' 4 -21006 ' Tim' 4 -21007 ' Tin' 4 -21008 ' Tip' 4 -21009 ' Tir' 4 -21010 ' Tit' 4 -21011 ' Tob' 4 -21012 ' Tod' 4 -21013 ' Tok' 4 -21014 ' Tol' 4 -21015 ' Tom' 4 -21016 ' Ton' 4 -21017 ' Too' 4 -21018 ' Top' 4 -21019 ' Tor' 4 -21020 ' Tos' 4 -21021 ' Tot' 4 -21022 ' Tou' 4 -21023 ' Tow' 4 -21024 ' Toy' 4 -21025 ' Tra' 4 -21026 ' Tre' 4 -21027 ' Tri' 4 -21028 ' Tro' 4 -21029 ' Tru' 4 -21030 ' Try' 4 -21031 ' Tub' 4 -21032 ' Tuc' 4 -21033 ' Tud' 4 -21034 ' Tue' 4 -21035 ' Tul' 4 -21036 ' Tum' 4 -21037 ' Tun' 4 -21038 ' Tur' 4 -21039 ' Tus' 4 -21040 ' Tut' 4 -21041 ' Twe' 4 -21042 ' Two' 4 -21043 ' Typ' 4 -21044 ' Tyr' 4 -21045 ' UAE' 4 -21046 ' UDP' 4 -21047 ' UFC' 4 -21048 ' UFO' 4 -21049 ' UID' 4 -21050 ' UIT' 4 -21051 ' UPS' 4 -21052 ' URI' 4 -21053 ' URL' 4 -21054 ' USA' 4 -21055 ' USB' 4 -21056 ' USC' 4 -21057 ' USD' 4 -21058 ' USE' 4 -21059 ' USS' 4 -21060 ' UTC' 4 -21061 ' UTF' 4 -21062 ' Uhr' 4 -21063 ' Ult' 4 -21064 ' Una' 4 -21065 ' Und' 4 -21066 ' Une' 4 -21067 ' Ung' 4 -21068 ' Uni' 4 -21069 ' Uns' 4 -21070 ' Unt' 4 -21071 ' Urb' 4 -21072 ' Uri' 4 -21073 ' Url' 4 -21074 ' Urs' 4 -21075 ' Use' 4 -21076 ' Utt' 4 -21077 ' VAL' 4 -21078 ' VAR' 4 -21079 ' VAT' 4 -21080 ' VER' 4 -21081 ' VID' 4 -21082 ' VII' 4 -21083 ' VIP' 4 -21084 ' VIS' 4 -21085 ' VOC' 4 -21086 ' VOL' 4 -21087 ' VPN' 4 -21088 ' Vac' 4 -21089 ' Val' 4 -21090 ' Van' 4 -21091 ' Var' 4 -21092 ' Vas' 4 -21093 ' Vec' 4 -21094 ' Ved' 4 -21095 ' Veg' 4 -21096 ' Veh' 4 -21097 ' Vel' 4 -21098 ' Ven' 4 -21099 ' Ver' 4 -21100 ' Ves' 4 -21101 ' Via' 4 -21102 ' Vic' 4 -21103 ' Vid' 4 -21104 ' Vie' 4 -21105 ' Vig' 4 -21106 ' Vij' 4 -21107 ' Vik' 4 -21108 ' Vil' 4 -21109 ' Vim' 4 -21110 ' Vin' 4 -21111 ' Vir' 4 -21112 ' Vis' 4 -21113 ' Vit' 4 -21114 ' Viv' 4 -21115 ' Voc' 4 -21116 ' Vog' 4 -21117 ' Vol' 4 -21118 ' Von' 4 -21119 ' Vor' 4 -21120 ' Vox' 4 -21121 ' Voy' 4 -21122 ' Vue' 4 -21123 ' Vul' 4 -21124 ' Vé' 4 -21125 ' WAR' 4 -21126 ' WAS' 4 -21127 ' WAY' 4 -21128 ' WEB' 4 -21129 ' WHO' 4 -21130 ' WIN' 4 -21131 ' WIT' 4 -21132 ' WOR' 4 -21133 ' WWE' 4 -21134 ' Wah' 4 -21135 ' Wak' 4 -21136 ' Wal' 4 -21137 ' Wan' 4 -21138 ' War' 4 -21139 ' Was' 4 -21140 ' Wat' 4 -21141 ' Way' 4 -21142 ' Web' 4 -21143 ' Wed' 4 -21144 ' Wei' 4 -21145 ' Wel' 4 -21146 ' Wen' 4 -21147 ' Wer' 4 -21148 ' Wes' 4 -21149 ' Wet' 4 -21150 ' Whe' 4 -21151 ' Who' 4 -21152 ' Why' 4 -21153 ' Wid' 4 -21154 ' Wie' 4 -21155 ' Wii' 4 -21156 ' Wik' 4 -21157 ' Wil' 4 -21158 ' Win' 4 -21159 ' Wir' 4 -21160 ' Wis' 4 -21161 ' Wit' 4 -21162 ' Wol' 4 -21163 ' Won' 4 -21164 ' Woo' 4 -21165 ' Wor' 4 -21166 ' Wow' 4 -21167 ' Wyn' 4 -21168 ' XII' 4 -21169 ' XIV' 4 -21170 ' XML' 4 -21171 ' XOR' 4 -21172 ' XVI' 4 -21173 ' XXX' 4 -21174 ' Xen' 4 -21175 ' Xia' 4 -21176 ' Xin' 4 -21177 ' Xml' 4 -21178 ' YES' 4 -21179 ' YOU' 4 -21180 ' Yad' 4 -21181 ' Yak' 4 -21182 ' Yam' 4 -21183 ' Yan' 4 -21184 ' Yao' 4 -21185 ' Yas' 4 -21186 ' Yes' 4 -21187 ' Yet' 4 -21188 ' Yin' 4 -21189 ' You' 4 -21190 ' Yuk' 4 -21191 ' Yun' 4 -21192 ' Yus' 4 -21193 ' ZIP' 4 -21194 ' Zag' 4 -21195 ' Zah' 4 -21196 ' Zak' 4 -21197 ' Zam' 4 -21198 ' Zap' 4 -21199 ' Zar' 4 -21200 ' Zel' 4 -21201 ' Zen' 4 -21202 ' Zhu' 4 -21203 ' Zig' 4 -21204 ' Zip' 4 -21205 ' Zoe' 4 -21206 ' Zoo' 4 -21207 ' Zum' 4 -21208 ' Zur' 4 -21209 ' Zwe' 4 -21210 ' [],' 4 -21211 ' [];' 4 -21212 ' ___' 4 -21213 ' ``(' 4 -21214 ' ```' 4 -21215 ' aan' 4 -21216 ' abb' 4 -21217 ' abc' 4 -21218 ' abi' 4 -21219 ' abl' 4 -21220 ' abs' 4 -21221 ' aby' 4 -21222 ' acc' 4 -21223 ' ace' 4 -21224 ' ach' 4 -21225 ' acl' 4 -21226 ' act' 4 -21227 ' add' 4 -21228 ' ade' 4 -21229 ' adj' 4 -21230 ' adm' 4 -21231 ' ado' 4 -21232 ' ads' 4 -21233 ' adv' 4 -21234 ' aer' 4 -21235 ' aes' 4 -21236 ' aff' 4 -21237 ' aft' 4 -21238 ' age' 4 -21239 ' agg' 4 -21240 ' ago' 4 -21241 ' agr' 4 -21242 ' aid' 4 -21243 ' ail' 4 -21244 ' aim' 4 -21245 ' ain' 4 -21246 ' air' 4 -21247 ' aka' 4 -21248 ' akt' 4 -21249 ' alb' 4 -21250 ' alc' 4 -21251 ' ald' 4 -21252 ' ale' 4 -21253 ' alg' 4 -21254 ' ali' 4 -21255 ' alk' 4 -21256 ' all' 4 -21257 ' als' 4 -21258 ' alt' 4 -21259 ' ama' 4 -21260 ' amb' 4 -21261 ' ami' 4 -21262 ' amp' 4 -21263 ' ana' 4 -21264 ' anc' 4 -21265 ' and' 4 -21266 ' ang' 4 -21267 ' ank' 4 -21268 ' ann' 4 -21269 ' ano' 4 -21270 ' ans' 4 -21271 ' ant' 4 -21272 ' anx' 4 -21273 ' any' 4 -21274 ' aos' 4 -21275 ' aph' 4 -21276 ' api' 4 -21277 ' apo' 4 -21278 ' app' 4 -21279 ' apr' 4 -21280 ' apt' 4 -21281 ' aqu' 4 -21282 ' ara' 4 -21283 ' arb' 4 -21284 ' arc' 4 -21285 ' ard' 4 -21286 ' are' 4 -21287 ' arg' 4 -21288 ' ark' 4 -21289 ' arm' 4 -21290 ' arr' 4 -21291 ' art' 4 -21292 ' asc' 4 -21293 ' ash' 4 -21294 ' asi' 4 -21295 ' ask' 4 -21296 ' asm' 4 -21297 ' asp' 4 -21298 ' ass' 4 -21299 ' ast' 4 -21300 ' ate' 4 -21301 ' ath' 4 -21302 ' atm' 4 -21303 ' att' 4 -21304 ' auc' 4 -21305 ' aud' 4 -21306 ' auf' 4 -21307 ' aug' 4 -21308 ' aur' 4 -21309 ' aus' 4 -21310 ' aut' 4 -21311 ' aux' 4 -21312 ' ave' 4 -21313 ' avg' 4 -21314 ' avo' 4 -21315 ' awa' 4 -21316 ' awe' 4 -21317 ' awk' 4 -21318 ' aws' 4 -21319 ' axe' 4 -21320 ' aç' 4 -21321 ' añ' 4 -21322 ' až' 4 -21323 ' bab' 4 -21324 ' bac' 4 -21325 ' bad' 4 -21326 ' bag' 4 -21327 ' bak' 4 -21328 ' bal' 4 -21329 ' bam' 4 -21330 ' ban' 4 -21331 ' bar' 4 -21332 ' bas' 4 -21333 ' bat' 4 -21334 ' bay' 4 -21335 ' baz' 4 -21336 ' bec' 4 -21337 ' bed' 4 -21338 ' bee' 4 -21339 ' bef' 4 -21340 ' beg' 4 -21341 ' beh' 4 -21342 ' bei' 4 -21343 ' bek' 4 -21344 ' bel' 4 -21345 ' bem' 4 -21346 ' ben' 4 -21347 ' ber' 4 -21348 ' bes' 4 -21349 ' bet' 4 -21350 ' bew' 4 -21351 ' bey' 4 -21352 ' bez' 4 -21353 ' bib' 4 -21354 ' bic' 4 -21355 ' bid' 4 -21356 ' bif' 4 -21357 ' big' 4 -21358 ' bij' 4 -21359 ' bil' 4 -21360 ' bin' 4 -21361 ' bio' 4 -21362 ' bip' 4 -21363 ' bir' 4 -21364 ' bis' 4 -21365 ' bit' 4 -21366 ' biz' 4 -21367 ' bla' 4 -21368 ' ble' 4 -21369 ' blk' 4 -21370 ' blo' 4 -21371 ' bob' 4 -21372 ' bod' 4 -21373 ' bog' 4 -21374 ' bol' 4 -21375 ' bom' 4 -21376 ' bon' 4 -21377 ' boo' 4 -21378 ' bor' 4 -21379 ' bos' 4 -21380 ' bot' 4 -21381 ' bou' 4 -21382 ' bow' 4 -21383 ' box' 4 -21384 ' boy' 4 -21385 ' bra' 4 -21386 ' bre' 4 -21387 ' bri' 4 -21388 ' bro' 4 -21389 ' bru' 4 -21390 ' btn' 4 -21391 ' bub' 4 -21392 ' bud' 4 -21393 ' buf' 4 -21394 ' bug' 4 -21395 ' bul' 4 -21396 ' bum' 4 -21397 ' bun' 4 -21398 ' bur' 4 -21399 ' bus' 4 -21400 ' but' 4 -21401 ' buy' 4 -21402 ' bye' 4 -21403 ' bzw' 4 -21404 ' bä' 4 -21405 ' bé' 4 -21406 ' bý' 4 -21407 ' cab' 4 -21408 ' cac' 4 -21409 ' cad' 4 -21410 ' caf' 4 -21411 ' cal' 4 -21412 ' cam' 4 -21413 ' can' 4 -21414 ' cap' 4 -21415 ' car' 4 -21416 ' cas' 4 -21417 ' cat' 4 -21418 ' cav' 4 -21419 ' cel' 4 -21420 ' cen' 4 -21421 ' cep' 4 -21422 ' cer' 4 -21423 ' ces' 4 -21424 ' cet' 4 -21425 ' cfg' 4 -21426 ' cha' 4 -21427 ' che' 4 -21428 ' chi' 4 -21429 ' chk' 4 -21430 ' cho' 4 -21431 ' chr' 4 -21432 ' cic' 4 -21433 ' cid' 4 -21434 ' cig' 4 -21435 ' cin' 4 -21436 ' cir' 4 -21437 ' cis' 4 -21438 ' cit' 4 -21439 ' civ' 4 -21440 ' cla' 4 -21441 ' cle' 4 -21442 ' cli' 4 -21443 ' clo' 4 -21444 ' cls' 4 -21445 ' cmd' 4 -21446 ' cmp' 4 -21447 ' cnt' 4 -21448 ' cob' 4 -21449 ' coc' 4 -21450 ' cod' 4 -21451 ' cof' 4 -21452 ' cog' 4 -21453 ' coh' 4 -21454 ' col' 4 -21455 ' com' 4 -21456 ' con' 4 -21457 ' cop' 4 -21458 ' cor' 4 -21459 ' cos' 4 -21460 ' cot' 4 -21461 ' cou' 4 -21462 ' cov' 4 -21463 ' cow' 4 -21464 ' coy' 4 -21465 ' cpu' 4 -21466 ' cra' 4 -21467 ' cre' 4 -21468 ' cri' 4 -21469 ' cro' 4 -21470 ' cru' 4 -21471 ' cry' 4 -21472 ' css' 4 -21473 ' csv' 4 -21474 ' ctx' 4 -21475 ' cub' 4 -21476 ' cuc' 4 -21477 ' cue' 4 -21478 ' cui' 4 -21479 ' cul' 4 -21480 ' cum' 4 -21481 ' cup' 4 -21482 ' cur' 4 -21483 ' cus' 4 -21484 ' cut' 4 -21485 ' cyl' 4 -21486 ' cyn' 4 -21487 ' cyt' 4 -21488 ' cá' 4 -21489 ' câ' 4 -21490 ' cé' 4 -21491 ' cí' 4 -21492 ' có' 4 -21493 ' cô' 4 -21494 ' că' 4 -21495 ' cơ' 4 -21496 ' dab' 4 -21497 ' dad' 4 -21498 ' dag' 4 -21499 ' dah' 4 -21500 ' dai' 4 -21501 ' dal' 4 -21502 ' dam' 4 -21503 ' dan' 4 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'Hist' 4 -23734 'Hold' 4 -23735 'Holy' 4 -23736 'Home' 4 -23737 'Hong' 4 -23738 'Hook' 4 -23739 'Hope' 4 -23740 'Host' 4 -23741 'Hour' 4 -23742 'Html' 4 -23743 'Http' 4 -23744 'Hung' 4 -23745 'IBLE' 4 -23746 'IBUT' 4 -23747 'ICAL' 4 -23748 'ICAg' 4 -23749 'ICES' 4 -23750 'ICLE' 4 -23751 'ICON' 4 -23752 'IDER' 4 -23753 'IDTH' 4 -23754 'IEEE' 4 -23755 'IENT' 4 -23756 'IFIC' 4 -23757 'IGHT' 4 -23758 'ILED' 4 -23759 'ILLE' 4 -23760 'IMAL' 4 -23761 'IMIT' 4 -23762 'INCT' 4 -23763 'INES' 4 -23764 'INFO' 4 -23765 'INGS' 4 -23766 'INIT' 4 -23767 'INST' 4 -23768 'IONS' 4 -23769 'IOUS' 4 -23770 'IRED' 4 -23771 'IRST' 4 -23772 'ISBN' 4 -23773 'ISON' 4 -23774 'ISTR' 4 -23775 'ISTS' 4 -23776 'ITAL' 4 -23777 'ITCH' 4 -23778 'ITED' 4 -23779 'ITEM' 4 -23780 'ITER' 4 -23781 'ITES' 4 -23782 'ITLE' 4 -23783 'ITOR' 4 -23784 'IVER' 4 -23785 'IZED' 4 -23786 'IZER' 4 -23787 'Icon' 4 -23788 'Idle' 4 -23789 'Impl' 4 -23790 'Infl' 4 -23791 'Info' 4 -23792 'Init' 4 -23793 'Insp' 4 -23794 'Inst' 4 -23795 'Into' 4 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'Lean' 4 -23859 'Lear' 4 -23860 'Left' 4 -23861 'Leon' 4 -23862 'Less' 4 -23863 'Life' 4 -23864 'Like' 4 -23865 'Line' 4 -23866 'Link' 4 -23867 'List' 4 -23868 'Lite' 4 -23869 'Live' 4 -23870 'Load' 4 -23871 'Lock' 4 -23872 'Logo' 4 -23873 'Long' 4 -23874 'Look' 4 -23875 'Loop' 4 -23876 'Lord' 4 -23877 'Loss' 4 -23878 'Lost' 4 -23879 'Love' 4 -23880 'Luke' 4 -23881 'MAIL' 4 -23882 'MAIN' 4 -23883 'MAKE' 4 -23884 'MARK' 4 -23885 'MASK' 4 -23886 'MBOL' 4 -23887 'MENT' 4 -23888 'MENU' 4 -23889 'MESS' 4 -23890 'META' 4 -23891 'MISS' 4 -23892 'MMMM' 4 -23893 'MODE' 4 -23894 'MORE' 4 -23895 'MULT' 4 -23896 'Mach' 4 -23897 'Made' 4 -23898 'Magn' 4 -23899 'Mail' 4 -23900 'Main' 4 -23901 'Make' 4 -23902 'Male' 4 -23903 'Many' 4 -23904 'Maps' 4 -23905 'Marc' 4 -23906 'Marg' 4 -23907 'Mark' 4 -23908 'Mart' 4 -23909 'Mary' 4 -23910 'Mask' 4 -23911 'Mass' 4 -23912 'Math' 4 -23913 'Matt' 4 -23914 'Mean' 4 -23915 'Meet' 4 -23916 'Memo' 4 -23917 'Menu' 4 -23918 'Merc' 4 -23919 'Mesh' 4 -23920 'Mess' 4 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'Orig' 4 -23984 'Over' 4 -23985 'PACK' 4 -23986 'PAGE' 4 -23987 'PART' 4 -23988 'PASS' 4 -23989 'PATH' 4 -23990 'PECT' 4 -23991 'PING' 4 -23992 'PLAY' 4 -23993 'PORT' 4 -23994 'POSE' 4 -23995 'POST' 4 -23996 'PRES' 4 -23997 'PROC' 4 -23998 'PROP' 4 -23999 'PUBL' 4 -24000 'Pack' 4 -24001 'Page' 4 -24002 'Pain' 4 -24003 'Pair' 4 -24004 'Pane' 4 -24005 'Para' 4 -24006 'Park' 4 -24007 'Part' 4 -24008 'Pass' 4 -24009 'Past' 4 -24010 'Path' 4 -24011 'Paul' 4 -24012 'Pear' 4 -24013 'Peer' 4 -24014 'Perm' 4 -24015 'Pers' 4 -24016 'Phil' 4 -24017 'Phot' 4 -24018 'Phys' 4 -24019 'Pick' 4 -24020 'Pier' 4 -24021 'Ping' 4 -24022 'Pipe' 4 -24023 'Plan' 4 -24024 'Play' 4 -24025 'Plot' 4 -24026 'Plug' 4 -24027 'Plus' 4 -24028 'Poll' 4 -24029 'Poly' 4 -24030 'Pont' 4 -24031 'Pool' 4 -24032 'Poor' 4 -24033 'Port' 4 -24034 'Pose' 4 -24035 'Poss' 4 -24036 'Post' 4 -24037 'Pour' 4 -24038 'Prec' 4 -24039 'Pred' 4 -24040 'Pref' 4 -24041 'Prem' 4 -24042 'Prep' 4 -24043 'Pres' 4 -24044 'Prev' 4 -24045 'Prim' 4 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'Room' 4 -24109 'Root' 4 -24110 'Rose' 4 -24111 'Ross' 4 -24112 'Rout' 4 -24113 'Rows' 4 -24114 'Ruby' 4 -24115 'Rule' 4 -24116 'Russ' 4 -24117 'Ryan' 4 -24118 'SAME' 4 -24119 'SCAN' 4 -24120 'SELF' 4 -24121 'SENT' 4 -24122 'SEQU' 4 -24123 'SHOT' 4 -24124 'SIGN' 4 -24125 'SION' 4 -24126 'SIZE' 4 -24127 'SKIP' 4 -24128 'SMTP' 4 -24129 'SPEC' 4 -24130 'STAR' 4 -24131 'STAT' 4 -24132 'STEM' 4 -24133 'STEP' 4 -24134 'STER' 4 -24135 'STIT' 4 -24136 'STOP' 4 -24137 'STRU' 4 -24138 'Safe' 4 -24139 'Sale' 4 -24140 'Salt' 4 -24141 'Same' 4 -24142 'Sand' 4 -24143 'Sans' 4 -24144 'Save' 4 -24145 'Scal' 4 -24146 'Scan' 4 -24147 'Sche' 4 -24148 'Seed' 4 -24149 'Seek' 4 -24150 'Self' 4 -24151 'Sell' 4 -24152 'Send' 4 -24153 'Sent' 4 -24154 'Sept' 4 -24155 'Sequ' 4 -24156 'Serv' 4 -24157 'Sets' 4 -24158 'Shar' 4 -24159 'Sher' 4 -24160 'Ship' 4 -24161 'Shop' 4 -24162 'Shot' 4 -24163 'Show' 4 -24164 'Side' 4 -24165 'Sign' 4 -24166 'Sing' 4 -24167 'Sink' 4 -24168 'Site' 4 -24169 'Size' 4 -24170 'Skin' 4 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'ario' 4 -24671 'aris' 4 -24672 'arks' 4 -24673 'arlo' 4 -24674 'arly' 4 -24675 'arma' 4 -24676 'arms' 4 -24677 'arna' 4 -24678 'aron' 4 -24679 'aroo' 4 -24680 'arra' 4 -24681 'arri' 4 -24682 'arro' 4 -24683 'arry' 4 -24684 'arse' 4 -24685 'arta' 4 -24686 'arte' 4 -24687 'arth' 4 -24688 'arti' 4 -24689 'arto' 4 -24690 'arts' 4 -24691 'arty' 4 -24692 'artz' 4 -24693 'arum' 4 -24694 'arus' 4 -24695 'arya' 4 -24696 'aryl' 4 -24697 'ará' 4 -24698 'aré' 4 -24699 'arı' 4 -24700 'asan' 4 -24701 'asar' 4 -24702 'asci' 4 -24703 'asco' 4 -24704 'ased' 4 -24705 'aser' 4 -24706 'ases' 4 -24707 'aset' 4 -24708 'asha' 4 -24709 'ashi' 4 -24710 'asia' 4 -24711 'asic' 4 -24712 'asin' 4 -24713 'asio' 4 -24714 'asis' 4 -24715 'aska' 4 -24716 'asks' 4 -24717 'asma' 4 -24718 'ason' 4 -24719 'aspx' 4 -24720 'assa' 4 -24721 'asse' 4 -24722 'assi' 4 -24723 'asso' 4 -24724 'assy' 4 -24725 'asta' 4 -24726 'aste' 4 -24727 'asti' 4 -24728 'asto' 4 -24729 'astr' 4 -24730 'asts' 4 -24731 'asty' 4 -24732 'asus' 4 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'avan' 4 -24796 'avar' 4 -24797 'avas' 4 -24798 'aved' 4 -24799 'avel' 4 -24800 'aven' 4 -24801 'aver' 4 -24802 'aves' 4 -24803 'avez' 4 -24804 'avia' 4 -24805 'avid' 4 -24806 'avig' 4 -24807 'avin' 4 -24808 'avis' 4 -24809 'avor' 4 -24810 'away' 4 -24811 'awks' 4 -24812 'axes' 4 -24813 'axis' 4 -24814 'axon' 4 -24815 'ayan' 4 -24816 'ayed' 4 -24817 'ayer' 4 -24818 'azar' 4 -24819 'azed' 4 -24820 'azer' 4 -24821 'azon' 4 -24822 'azzi' 4 -24823 'azzo' 4 -24824 'ază' 4 -24825 'aña' 4 -24826 'ała' 4 -24827 'ało' 4 -24828 'ały' 4 -24829 'baby' 4 -24830 'bach' 4 -24831 'back' 4 -24832 'bage' 4 -24833 'bags' 4 -24834 'ball' 4 -24835 'band' 4 -24836 'bane' 4 -24837 'bang' 4 -24838 'bank' 4 -24839 'bara' 4 -24840 'bard' 4 -24841 'bare' 4 -24842 'bars' 4 -24843 'bart' 4 -24844 'base' 4 -24845 'bash' 4 -24846 'bast' 4 -24847 'bath' 4 -24848 'baum' 4 -24849 'bbbb' 4 -24850 'bben' 4 -24851 'bbox' 4 -24852 'beam' 4 -24853 'bean' 4 -24854 'bear' 4 -24855 'beat' 4 -24856 'beck' 4 -24857 'been' 4 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'colo' 4 -25046 'cols' 4 -25047 'coma' 4 -25048 'comb' 4 -25049 'come' 4 -25050 'comm' 4 -25051 'como' 4 -25052 'comp' 4 -25053 'conc' 4 -25054 'cond' 4 -25055 'cone' 4 -25056 'conf' 4 -25057 'cong' 4 -25058 'coni' 4 -25059 'conj' 4 -25060 'conn' 4 -25061 'cono' 4 -25062 'cons' 4 -25063 'cont' 4 -25064 'conv' 4 -25065 'cook' 4 -25066 'cool' 4 -25067 'cope' 4 -25068 'copy' 4 -25069 'cord' 4 -25070 'core' 4 -25071 'corn' 4 -25072 'corp' 4 -25073 'corr' 4 -25074 'cost' 4 -25075 'cott' 4 -25076 'cour' 4 -25077 'cout' 4 -25078 'cred' 4 -25079 'cret' 4 -25080 'crib' 4 -25081 'crit' 4 -25082 'cron' 4 -25083 'crop' 4 -25084 'crow' 4 -25085 'csrf' 4 -25086 'ctic' 4 -25087 'ctor' 4 -25088 'ctrl' 4 -25089 'cube' 4 -25090 'cuda' 4 -25091 'cule' 4 -25092 'culo' 4 -25093 'cult' 4 -25094 'curl' 4 -25095 'curr' 4 -25096 'cuts' 4 -25097 'cyan' 4 -25098 'cycl' 4 -25099 'ców' 4 -25100 'dade' 4 -25101 'dain' 4 -25102 'dale' 4 -25103 'damn' 4 -25104 'dark' 4 -25105 'dash' 4 -25106 'data' 4 -25107 'date' 4 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'duty' 4 -25171 'each' 4 -25172 'ears' 4 -25173 'east' 4 -25174 'easy' 4 -25175 'ebra' 4 -25176 'ecal' 4 -25177 'eced' 4 -25178 'eces' 4 -25179 'echa' 4 -25180 'echo' 4 -25181 'ects' 4 -25182 'edad' 4 -25183 'edar' 4 -25184 'eday' 4 -25185 'eded' 4 -25186 'edef' 4 -25187 'eden' 4 -25188 'eder' 4 -25189 'edes' 4 -25190 'edge' 4 -25191 'edia' 4 -25192 'edic' 4 -25193 'edin' 4 -25194 'edit' 4 -25195 'edly' 4 -25196 'edom' 4 -25197 'edor' 4 -25198 'educ' 4 -25199 'eeee' 4 -25200 'eful' 4 -25201 'egal' 4 -25202 'egan' 4 -25203 'egen' 4 -25204 'eger' 4 -25205 'egin' 4 -25206 'eing' 4 -25207 'eken' 4 -25208 'eker' 4 -25209 'eled' 4 -25210 'elem' 4 -25211 'elen' 4 -25212 'eler' 4 -25213 'eles' 4 -25214 'elia' 4 -25215 'elic' 4 -25216 'elif' 4 -25217 'elig' 4 -25218 'elim' 4 -25219 'elin' 4 -25220 'ella' 4 -25221 'elle' 4 -25222 'elli' 4 -25223 'ello' 4 -25224 'ells' 4 -25225 'ellt' 4 -25226 'elly' 4 -25227 'elon' 4 -25228 'elor' 4 -25229 'else' 4 -25230 'elta' 4 -25231 'elve' 4 -25232 'eman' 4 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'enç' 4 -25296 'ení' 4 -25297 'eous' 4 -25298 'epad' 4 -25299 'eper' 4 -25300 'eral' 4 -25301 'eras' 4 -25302 'erca' 4 -25303 'erce' 4 -25304 'erea' 4 -25305 'ered' 4 -25306 'eree' 4 -25307 'ereg' 4 -25308 'erek' 4 -25309 'eren' 4 -25310 'erer' 4 -25311 'eres' 4 -25312 'erez' 4 -25313 'erge' 4 -25314 'ergy' 4 -25315 'eria' 4 -25316 'eric' 4 -25317 'erie' 4 -25318 'ermo' 4 -25319 'erna' 4 -25320 'erne' 4 -25321 'erno' 4 -25322 'eron' 4 -25323 'eros' 4 -25324 'erra' 4 -25325 'erre' 4 -25326 'erro' 4 -25327 'erry' 4 -25328 'erta' 4 -25329 'erte' 4 -25330 'erto' 4 -25331 'erts' 4 -25332 'erty' 4 -25333 'erva' 4 -25334 'erve' 4 -25335 'esan' 4 -25336 'esar' 4 -25337 'esch' 4 -25338 'esen' 4 -25339 'eses' 4 -25340 'esis' 4 -25341 'eson' 4 -25342 'essa' 4 -25343 'esse' 4 -25344 'esso' 4 -25345 'esta' 4 -25346 'este' 4 -25347 'esti' 4 -25348 'esto' 4 -25349 'estr' 4 -25350 'ests' 4 -25351 'esty' 4 -25352 'etag' 4 -25353 'etal' 4 -25354 'etas' 4 -25355 'etch' 4 -25356 'eted' 4 -25357 'eten' 4 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'file' 4 -25421 'fill' 4 -25422 'film' 4 -25423 'find' 4 -25424 'fine' 4 -25425 'fire' 4 -25426 'firm' 4 -25427 'fish' 4 -25428 'fits' 4 -25429 'five' 4 -25430 'flag' 4 -25431 'flat' 4 -25432 'flex' 4 -25433 'flip' 4 -25434 'flix' 4 -25435 'flow' 4 -25436 'flux' 4 -25437 'foil' 4 -25438 'fois' 4 -25439 'fold' 4 -25440 'folk' 4 -25441 'fono' 4 -25442 'font' 4 -25443 'fony' 4 -25444 'food' 4 -25445 'foot' 4 -25446 'ford' 4 -25447 'fore' 4 -25448 'fork' 4 -25449 'form' 4 -25450 'fort' 4 -25451 'four' 4 -25452 'frac' 4 -25453 'frag' 4 -25454 'frak' 4 -25455 'fram' 4 -25456 'fred' 4 -25457 'free' 4 -25458 'freq' 4 -25459 'frey' 4 -25460 'from' 4 -25461 'ften' 4 -25462 'fter' 4 -25463 'fuel' 4 -25464 'full' 4 -25465 'func' 4 -25466 'fund' 4 -25467 'furt' 4 -25468 'fusc' 4 -25469 'fuse' 4 -25470 'fér' 4 -25471 'för' 4 -25472 'füg' 4 -25473 'füh' 4 -25474 'für' 4 -25475 'gado' 4 -25476 'gage' 4 -25477 'gain' 4 -25478 'game' 4 -25479 'gang' 4 -25480 'gard' 4 -25481 'gart' 4 -25482 'gary' 4 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'half' 4 -25546 'hall' 4 -25547 'halt' 4 -25548 'hand' 4 -25549 'hang' 4 -25550 'hani' 4 -25551 'hape' 4 -25552 'happ' 4 -25553 'haps' 4 -25554 'hard' 4 -25555 'hare' 4 -25556 'harm' 4 -25557 'hart' 4 -25558 'hash' 4 -25559 'hatt' 4 -25560 'haul' 4 -25561 'haus' 4 -25562 'have' 4 -25563 'havi' 4 -25564 'hbar' 4 -25565 'hbox' 4 -25566 'head' 4 -25567 'heal' 4 -25568 'heap' 4 -25569 'heat' 4 -25570 'heck' 4 -25571 'heed' 4 -25572 'heel' 4 -25573 'heet' 4 -25574 'heid' 4 -25575 'heim' 4 -25576 'heit' 4 -25577 'held' 4 -25578 'helf' 4 -25579 'hell' 4 -25580 'helm' 4 -25581 'help' 4 -25582 'hend' 4 -25583 'hene' 4 -25584 'heng' 4 -25585 'hens' 4 -25586 'here' 4 -25587 'hern' 4 -25588 'hero' 4 -25589 'hers' 4 -25590 'hest' 4 -25591 'heur' 4 -25592 'hide' 4 -25593 'hift' 4 -25594 'high' 4 -25595 'hill' 4 -25596 'hind' 4 -25597 'hing' 4 -25598 'hint' 4 -25599 'hips' 4 -25600 'hire' 4 -25601 'hist' 4 -25602 'hive' 4 -25603 'hlen' 4 -25604 'hler' 4 -25605 'hoff' 4 -25606 'hold' 4 -25607 'hole' 4 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'icho' 4 -25671 'icht' 4 -25672 'icia' 4 -25673 'icio' 4 -25674 'icip' 4 -25675 'icit' 4 -25676 'icki' 4 -25677 'icks' 4 -25678 'icky' 4 -25679 'icle' 4 -25680 'icol' 4 -25681 'icon' 4 -25682 'icos' 4 -25683 'icro' 4 -25684 'icts' 4 -25685 'icul' 4 -25686 'icum' 4 -25687 'icus' 4 -25688 'icut' 4 -25689 'ică' 4 -25690 'idad' 4 -25691 'idae' 4 -25692 'idal' 4 -25693 'idan' 4 -25694 'idas' 4 -25695 'iday' 4 -25696 'iddy' 4 -25697 'idea' 4 -25698 'ided' 4 -25699 'idel' 4 -25700 'iden' 4 -25701 'ideo' 4 -25702 'ider' 4 -25703 'ides' 4 -25704 'idge' 4 -25705 'idia' 4 -25706 'idin' 4 -25707 'idis' 4 -25708 'idle' 4 -25709 'idor' 4 -25710 'idos' 4 -25711 'idth' 4 -25712 'idé' 4 -25713 'iece' 4 -25714 'iego' 4 -25715 'ield' 4 -25716 'iele' 4 -25717 'iels' 4 -25718 'iene' 4 -25719 'iens' 4 -25720 'ient' 4 -25721 'iera' 4 -25722 'iere' 4 -25723 'ieri' 4 -25724 'iero' 4 -25725 'iers' 4 -25726 'iert' 4 -25727 'iese' 4 -25728 'iest' 4 -25729 'iets' 4 -25730 'iety' 4 -25731 'ieur' 4 -25732 'ieux' 4 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'illi' 4 -25796 'illo' 4 -25797 'ills' 4 -25798 'illy' 4 -25799 'iloc' 4 -25800 'ilog' 4 -25801 'ilon' 4 -25802 'ilor' 4 -25803 'ilos' 4 -25804 'ilot' 4 -25805 'ilst' 4 -25806 'ilty' 4 -25807 'ilus' 4 -25808 'ilyn' 4 -25809 'ilà' 4 -25810 'imag' 4 -25811 'imal' 4 -25812 'iman' 4 -25813 'imap' 4 -25814 'imar' 4 -25815 'imas' 4 -25816 'imat' 4 -25817 'imed' 4 -25818 'imen' 4 -25819 'imer' 4 -25820 'imes' 4 -25821 'imet' 4 -25822 'imin' 4 -25823 'imir' 4 -25824 'imit' 4 -25825 'imon' 4 -25826 'imos' 4 -25827 'impl' 4 -25828 'imum' 4 -25829 'imus' 4 -25830 'inae' 4 -25831 'inal' 4 -25832 'inar' 4 -25833 'inas' 4 -25834 'ince' 4 -25835 'inch' 4 -25836 'inci' 4 -25837 'incl' 4 -25838 'inct' 4 -25839 'inda' 4 -25840 'inde' 4 -25841 'indi' 4 -25842 'indo' 4 -25843 'inds' 4 -25844 'indu' 4 -25845 'indy' 4 -25846 'inea' 4 -25847 'ined' 4 -25848 'inee' 4 -25849 'inel' 4 -25850 'inem' 4 -25851 'inen' 4 -25852 'iner' 4 -25853 'ines' 4 -25854 'inet' 4 -25855 'inez' 4 -25856 'infl' 4 -25857 'info' 4 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'iren' 4 -25921 'ires' 4 -25922 'irez' 4 -25923 'irie' 4 -25924 'iris' 4 -25925 'irit' 4 -25926 'irms' 4 -25927 'iron' 4 -25928 'iros' 4 -25929 'irse' 4 -25930 'irst' 4 -25931 'irth' 4 -25932 'irts' 4 -25933 'irty' 4 -25934 'irus' 4 -25935 'irá' 4 -25936 'isan' 4 -25937 'isas' 4 -25938 'isch' 4 -25939 'isco' 4 -25940 'ised' 4 -25941 'isel' 4 -25942 'isen' 4 -25943 'iser' 4 -25944 'ises' 4 -25945 'iset' 4 -25946 'isha' 4 -25947 'ishi' 4 -25948 'isia' 4 -25949 'isin' 4 -25950 'isis' 4 -25951 'iska' 4 -25952 'iske' 4 -25953 'isko' 4 -25954 'isks' 4 -25955 'isle' 4 -25956 'isma' 4 -25957 'isme' 4 -25958 'ismo' 4 -25959 'isms' 4 -25960 'isol' 4 -25961 'ison' 4 -25962 'isor' 4 -25963 'issa' 4 -25964 'isse' 4 -25965 'issy' 4 -25966 'ista' 4 -25967 'iste' 4 -25968 'isti' 4 -25969 'isto' 4 -25970 'istr' 4 -25971 'ists' 4 -25972 'isty' 4 -25973 'isé' 4 -25974 'ital' 4 -25975 'itan' 4 -25976 'itar' 4 -25977 'itas' 4 -25978 'itat' 4 -25979 'itch' 4 -25980 'ited' 4 -25981 'itel' 4 -25982 'item' 4 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'lood' 4 -26172 'look' 4 -26173 'loop' 4 -26174 'loor' 4 -26175 'lord' 4 -26176 'lose' 4 -26177 'loss' 4 -26178 'lost' 4 -26179 'lots' 4 -26180 'love' 4 -26181 'loyd' 4 -26182 'luck' 4 -26183 'lund' 4 -26184 'lung' 4 -26185 'lymp' 4 -26186 'lyph' 4 -26187 'lán' 4 -26188 'lär' 4 -26189 'läu' 4 -26190 'lès' 4 -26191 'lés' 4 -26192 'lês' 4 -26193 'mach' 4 -26194 'made' 4 -26195 'mage' 4 -26196 'magn' 4 -26197 'maid' 4 -26198 'mail' 4 -26199 'main' 4 -26200 'make' 4 -26201 'male' 4 -26202 'mall' 4 -26203 'mana' 4 -26204 'mand' 4 -26205 'mani' 4 -26206 'mann' 4 -26207 'mans' 4 -26208 'mant' 4 -26209 'many' 4 -26210 'maps' 4 -26211 'mare' 4 -26212 'mark' 4 -26213 'mars' 4 -26214 'mart' 4 -26215 'mary' 4 -26216 'mask' 4 -26217 'mass' 4 -26218 'mast' 4 -26219 'mate' 4 -26220 'math' 4 -26221 'maze' 4 -26222 'mber' 4 -26223 'mbox' 4 -26224 'meal' 4 -26225 'mean' 4 -26226 'meas' 4 -26227 'medi' 4 -26228 'meet' 4 -26229 'mega' 4 -26230 'memb' 4 -26231 'memo' 4 -26232 'meno' 4 -26233 'mens' 4 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'ndim' 4 -26297 'near' 4 -26298 'neau' 4 -26299 'neck' 4 -26300 'nect' 4 -26301 'need' 4 -26302 'nego' 4 -26303 'nell' 4 -26304 'nels' 4 -26305 'nerg' 4 -26306 'ners' 4 -26307 'ness' 4 -26308 'nest' 4 -26309 'nets' 4 -26310 'nett' 4 -26311 'neum' 4 -26312 'neur' 4 -26313 'neut' 4 -26314 'news' 4 -26315 'next' 4 -26316 'neys' 4 -26317 'nger' 4 -26318 'nice' 4 -26319 'nick' 4 -26320 'nier' 4 -26321 'nine' 4 -26322 'ning' 4 -26323 'nist' 4 -26324 'nię' 4 -26325 'node' 4 -26326 'nome' 4 -26327 'none' 4 -26328 'noon' 4 -26329 'noop' 4 -26330 'norm' 4 -26331 'nose' 4 -26332 'nost' 4 -26333 'note' 4 -26334 'noun' 4 -26335 'nova' 4 -26336 'nown' 4 -26337 'nsic' 4 -26338 'nten' 4 -26339 'nton' 4 -26340 'null' 4 -26341 'nung' 4 -26342 'nuts' 4 -26343 'née' 4 -26344 'nés' 4 -26345 'ník' 4 -26346 'ním' 4 -26347 'oard' 4 -26348 'obal' 4 -26349 'obar' 4 -26350 'obby' 4 -26351 'ober' 4 -26352 'obia' 4 -26353 'obic' 4 -26354 'obil' 4 -26355 'oble' 4 -26356 'obox' 4 -26357 'obra' 4 -26358 'obre' 4 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'oles' 4 -26422 'oley' 4 -26423 'olia' 4 -26424 'olic' 4 -26425 'olid' 4 -26426 'olin' 4 -26427 'olip' 4 -26428 'olis' 4 -26429 'olit' 4 -26430 'olla' 4 -26431 'ollo' 4 -26432 'olly' 4 -26433 'olog' 4 -26434 'olon' 4 -26435 'olor' 4 -26436 'olph' 4 -26437 'olta' 4 -26438 'olve' 4 -26439 'omal' 4 -26440 'oman' 4 -26441 'omas' 4 -26442 'omat' 4 -26443 'ombo' 4 -26444 'omed' 4 -26445 'omen' 4 -26446 'omer' 4 -26447 'omes' 4 -26448 'omet' 4 -26449 'omez' 4 -26450 'omic' 4 -26451 'omin' 4 -26452 'omit' 4 -26453 'omon' 4 -26454 'onal' 4 -26455 'onas' 4 -26456 'once' 4 -26457 'onda' 4 -26458 'onde' 4 -26459 'ondo' 4 -26460 'onds' 4 -26461 'oned' 4 -26462 'onel' 4 -26463 'onen' 4 -26464 'oner' 4 -26465 'ones' 4 -26466 'onet' 4 -26467 'oney' 4 -26468 'onga' 4 -26469 'onge' 4 -26470 'ongo' 4 -26471 'ongs' 4 -26472 'onia' 4 -26473 'onic' 4 -26474 'onio' 4 -26475 'onis' 4 -26476 'only' 4 -26477 'onna' 4 -26478 'onne' 4 -26479 'onom' 4 -26480 'onse' 4 -26481 'onso' 4 -26482 'onte' 4 -26483 'onto' 4 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'orsi' 4 -26547 'orsk' 4 -26548 'orst' 4 -26549 'orta' 4 -26550 'orte' 4 -26551 'orth' 4 -26552 'orts' 4 -26553 'orum' 4 -26554 'orus' 4 -26555 'osal' 4 -26556 'osas' 4 -26557 'osed' 4 -26558 'osen' 4 -26559 'oser' 4 -26560 'oses' 4 -26561 'osex' 4 -26562 'oshi' 4 -26563 'osin' 4 -26564 'osis' 4 -26565 'osit' 4 -26566 'osos' 4 -26567 'osph' 4 -26568 'ossa' 4 -26569 'osse' 4 -26570 'osta' 4 -26571 'oste' 4 -26572 'osti' 4 -26573 'osto' 4 -26574 'otal' 4 -26575 'oted' 4 -26576 'oten' 4 -26577 'oter' 4 -26578 'otes' 4 -26579 'othe' 4 -26580 'otho' 4 -26581 'othy' 4 -26582 'otic' 4 -26583 'otin' 4 -26584 'otle' 4 -26585 'otom' 4 -26586 'oton' 4 -26587 'otor' 4 -26588 'otos' 4 -26589 'otta' 4 -26590 'otte' 4 -26591 'otti' 4 -26592 'otto' 4 -26593 'otyp' 4 -26594 'ouch' 4 -26595 'oufl' 4 -26596 'ough' 4 -26597 'ould' 4 -26598 'ound' 4 -26599 'ount' 4 -26600 'oupe' 4 -26601 'ourd' 4 -26602 'oure' 4 -26603 'ourg' 4 -26604 'ouri' 4 -26605 'ourn' 4 -26606 'ours' 4 -26607 'ourt' 4 -26608 'ouse' 4 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4 -26672 'pert' 4 -26673 'phal' 4 -26674 'phan' 4 -26675 'phas' 4 -26676 'phen' 4 -26677 'pher' 4 -26678 'phia' 4 -26679 'phil' 4 -26680 'phin' 4 -26681 'phis' 4 -26682 'phon' 4 -26683 'phot' 4 -26684 'phys' 4 -26685 'pick' 4 -26686 'pies' 4 -26687 'pile' 4 -26688 'pine' 4 -26689 'ping' 4 -26690 'pink' 4 -26691 'pins' 4 -26692 'pipe' 4 -26693 'pire' 4 -26694 'pite' 4 -26695 'plan' 4 -26696 'plat' 4 -26697 'play' 4 -26698 'pled' 4 -26699 'pler' 4 -26700 'ples' 4 -26701 'plet' 4 -26702 'plex' 4 -26703 'plic' 4 -26704 'plit' 4 -26705 'plot' 4 -26706 'ploy' 4 -26707 'plug' 4 -26708 'plus' 4 -26709 'pmod' 4 -26710 'poke' 4 -26711 'pole' 4 -26712 'poll' 4 -26713 'poly' 4 -26714 'pond' 4 -26715 'pone' 4 -26716 'pong' 4 -26717 'pons' 4 -26718 'pool' 4 -26719 'poon' 4 -26720 'pora' 4 -26721 'port' 4 -26722 'pose' 4 -26723 'poss' 4 -26724 'post' 4 -26725 'pour' 4 -26726 'pped' 4 -26727 'ppen' 4 -26728 'pper' 4 -26729 'prec' 4 -26730 'pred' 4 -26731 'pref' 4 -26732 'prem' 4 -26733 'prep' 4 -26734 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'requ' 4 -26860 'rera' 4 -26861 'rero' 4 -26862 'resa' 4 -26863 'rese' 4 -26864 'resh' 4 -26865 'reso' 4 -26866 'resp' 4 -26867 'ress' 4 -26868 'rest' 4 -26869 'reta' 4 -26870 'rete' 4 -26871 'rets' 4 -26872 'rett' 4 -26873 'reve' 4 -26874 'rgba' 4 -26875 'riad' 4 -26876 'rial' 4 -26877 'rian' 4 -26878 'rias' 4 -26879 'rica' 4 -26880 'rice' 4 -26881 'rich' 4 -26882 'rick' 4 -26883 'rico' 4 -26884 'rics' 4 -26885 'rict' 4 -26886 'ride' 4 -26887 'ried' 4 -26888 'rief' 4 -26889 'riel' 4 -26890 'rien' 4 -26891 'rier' 4 -26892 'ries' 4 -26893 'riet' 4 -26894 'rift' 4 -26895 'rika' 4 -26896 'rike' 4 -26897 'rile' 4 -26898 'rimp' 4 -26899 'rina' 4 -26900 'rine' 4 -26901 'ring' 4 -26902 'rink' 4 -26903 'rint' 4 -26904 'rior' 4 -26905 'rios' 4 -26906 'riot' 4 -26907 'ripp' 4 -26908 'ript' 4 -26909 'rire' 4 -26910 'rise' 4 -26911 'rish' 4 -26912 'risk' 4 -26913 'rist' 4 -26914 'rite' 4 -26915 'rito' 4 -26916 'ritt' 4 -26917 'ritz' 4 -26918 'rium' 4 -26919 'rive' 4 -26920 'rió' 4 -26921 'road' 4 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'todo' 4 -27173 'tone' 4 -27174 'tons' 4 -27175 'took' 4 -27176 'tool' 4 -27177 'toon' 4 -27178 'tour' 4 -27179 'tout' 4 -27180 'town' 4 -27181 'trac' 4 -27182 'trad' 4 -27183 'trak' 4 -27184 'tran' 4 -27185 'trap' 4 -27186 'tras' 4 -27187 'tree' 4 -27188 'tres' 4 -27189 'trib' 4 -27190 'trie' 4 -27191 'trig' 4 -27192 'trim' 4 -27193 'trip' 4 -27194 'tron' 4 -27195 'true' 4 -27196 'ttes' 4 -27197 'tube' 4 -27198 'ture' 4 -27199 'turn' 4 -27200 'type' 4 -27201 'uala' 4 -27202 'uali' 4 -27203 'uant' 4 -27204 'uart' 4 -27205 'uary' 4 -27206 'uate' 4 -27207 'ubar' 4 -27208 'uben' 4 -27209 'uber' 4 -27210 'ubes' 4 -27211 'ubic' 4 -27212 'uble' 4 -27213 'ubre' 4 -27214 'ucci' 4 -27215 'uced' 4 -27216 'ucer' 4 -27217 'uces' 4 -27218 'ucha' 4 -27219 'uche' 4 -27220 'uchi' 4 -27221 'uchs' 4 -27222 'ucht' 4 -27223 'ucid' 4 -27224 'ucks' 4 -27225 'ucky' 4 -27226 'ucle' 4 -27227 'udad' 4 -27228 'uded' 4 -27229 'uden' 4 -27230 'uder' 4 -27231 'udes' 4 -27232 'udge' 4 -27233 'udio' 4 -27234 'udos' 4 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5 -35418 'poser' 5 -35419 'poses' 5 -35420 'posit' 5 -35421 'posix' 5 -35422 'posta' 5 -35423 'posts' 5 -35424 'pound' 5 -35425 'power' 5 -35426 'ppers' 5 -35427 'pping' 5 -35428 'pread' 5 -35429 'press' 5 -35430 'price' 5 -35431 'prime' 5 -35432 'pring' 5 -35433 'print' 5 -35434 'prior' 5 -35435 'prise' 5 -35436 'probe' 5 -35437 'produ' 5 -35438 'promo' 5 -35439 'proof' 5 -35440 'props' 5 -35441 'prote' 5 -35442 'proto' 5 -35443 'prove' 5 -35444 'proxy' 5 -35445 'près' 5 -35446 'prés' 5 -35447 'psych' 5 -35448 'ptide' 5 -35449 'ption' 5 -35450 'ptive' 5 -35451 'ptune' 5 -35452 'pulse' 5 -35453 'punkt' 5 -35454 'puted' 5 -35455 'puter' 5 -35456 'pués' 5 -35457 'qquad' 5 -35458 'quake' 5 -35459 'quant' 5 -35460 'quare' 5 -35461 'quart' 5 -35462 'queda' 5 -35463 'quent' 5 -35464 'query' 5 -35465 'quest' 5 -35466 'queue' 5 -35467 'quick' 5 -35468 'quier' 5 -35469 'quiet' 5 -35470 'quipe' 5 -35471 'quire' 5 -35472 'quiry' 5 -35473 'quist' 5 -35474 'quite' 5 -35475 'quito' 5 -35476 'quivo' 5 -35477 'quota' 5 -35478 'quote' 5 -35479 'rades' 5 -35480 'radio' 5 -35481 'rador' 5 -35482 'ragon' 5 -35483 'raham' 5 -35484 'rails' 5 -35485 'raine' 5 -35486 'rains' 5 -35487 'raint' 5 -35488 'raise' 5 -35489 'raits' 5 -35490 'ramer' 5 -35491 'ramid' 5 -35492 'rance' 5 -35493 'ranch' 5 -35494 'range' 5 -35495 'rapid' 5 -35496 'rases' 5 -35497 'rated' 5 -35498 'rates' 5 -35499 'ratio' 5 -35500 'ravel' 5 -35501 'razil' 5 -35502 'reach' 5 -35503 'react' 5 -35504 'reads' 5 -35505 'ready' 5 -35506 'realm' 5 -35507 'reate' 5 -35508 'recht' 5 -35509 'redit' 5 -35510 'reens' 5 -35511 'refer' 5 -35512 'refix' 5 -35513 'regex' 5 -35514 'regon' 5 -35515 'regor' 5 -35516 'reich' 5 -35517 'reira' 5 -35518 'relax' 5 -35519 'rella' 5 -35520 'rence' 5 -35521 'rench' 5 -35522 'rende' 5 -35523 'renew' 5 -35524 'rente' 5 -35525 'reply' 5 -35526 'repos' 5 -35527 'reset' 5 -35528 'resid' 5 -35529 'resol' 5 -35530 'resse' 5 -35531 'retch' 5 -35532 'reten' 5 -35533 'retry' 5 -35534 'rette' 5 -35535 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5 -35653 'skins' 5 -35654 'slack' 5 -35655 'slant' 5 -35656 'slash' 5 -35657 'slave' 5 -35658 'sleep' 5 -35659 'slice' 5 -35660 'slide' 5 -35661 'slope' 5 -35662 'slots' 5 -35663 'small' 5 -35664 'smart' 5 -35665 'smith' 5 -35666 'snake' 5 -35667 'sofar' 5 -35668 'solar' 5 -35669 'solid' 5 -35670 'solve' 5 -35671 'sound' 5 -35672 'south' 5 -35673 'space' 5 -35674 'spark' 5 -35675 'spawn' 5 -35676 'spect' 5 -35677 'speed' 5 -35678 'spell' 5 -35679 'split' 5 -35680 'sport' 5 -35681 'spots' 5 -35682 'stack' 5 -35683 'stadt' 5 -35684 'staff' 5 -35685 'stage' 5 -35686 'stalk' 5 -35687 'stamp' 5 -35688 'stand' 5 -35689 'stant' 5 -35690 'stars' 5 -35691 'start' 5 -35692 'stash' 5 -35693 'state' 5 -35694 'stats' 5 -35695 'stdin' 5 -35696 'stdio' 5 -35697 'stead' 5 -35698 'steel' 5 -35699 'stein' 5 -35700 'stell' 5 -35701 'steps' 5 -35702 'stere' 5 -35703 'sters' 5 -35704 'stery' 5 -35705 'stick' 5 -35706 'still' 5 -35707 'stime' 5 -35708 'stock' 5 -35709 'stone' 5 -35710 'stood' 5 -35711 'store' 5 -35712 'storm' 5 -35713 'story' 5 -35714 'stown' 5 -35715 'strap' 5 -35716 'strip' 5 -35717 'strom' 5 -35718 'study' 5 -35719 'stuff' 5 -35720 'ství' 5 -35721 'style' 5 -35722 'stype' 5 -35723 'stüt' 5 -35724 'subst' 5 -35725 'suite' 5 -35726 'super' 5 -35727 'sweet' 5 -35728 'swers' 5 -35729 'swick' 5 -35730 'swift' 5 -35731 'swing' 5 -35732 'szág' 5 -35733 'table' 5 -35734 'tails' 5 -35735 'taire' 5 -35736 'taken' 5 -35737 'takes' 5 -35738 'tasks' 5 -35739 'tbody' 5 -35740 'techn' 5 -35741 'teger' 5 -35742 'templ' 5 -35743 'temps' 5 -35744 'tered' 5 -35745 'terms' 5 -35746 'terra' 5 -35747 'tests' 5 -35748 'texto' 5 -35749 'texts' 5 -35750 'tfrac' 5 -35751 'thank' 5 -35752 'thead' 5 -35753 'their' 5 -35754 'theme' 5 -35755 'there' 5 -35756 'thern' 5 -35757 'thers' 5 -35758 'these' 5 -35759 'theta' 5 -35760 'thick' 5 -35761 'thing' 5 -35762 'think' 5 -35763 'third' 5 -35764 'thood' 5 -35765 'those' 5 -35766 'three' 5 -35767 'thren' 5 -35768 'throw' 5 -35769 'thumb' 5 -35770 'tical' 5 -35771 'ticks' 5 -35772 'tight' 5 -35773 'tilde' 5 -35774 'tiles' 5 -35775 'timer' 5 -35776 'times' 5 -35777 'tings' 5 -35778 'title' 5 -35779 'tober' 5 -35780 'today' 5 -35781 'todos' 5 -35782 'token' 5 -35783 'tools' 5 -35784 'topic' 5 -35785 'torch' 5 -35786 'total' 5 -35787 'touch' 5 -35788 'trace' 5 -35789 'track' 5 -35790 'tract' 5 -35791 'trade' 5 -35792 'trail' 5 -35793 'train' 5 -35794 'trait' 5 -35795 'trans' 5 -35796 'trash' 5 -35797 'treat' 5 -35798 'trees' 5 -35799 'trend' 5 -35800 'trial' 5 -35801 'tries' 5 -35802 'tring' 5 -35803 'trunc' 5 -35804 'trust' 5 -35805 'truth' 5 -35806 'tuple' 5 -35807 'tures' 5 -35808 'tweet' 5 -35809 'twist' 5 -35810 'typed' 5 -35811 'types' 5 -35812 'uable' 5 -35813 'ually' 5 -35814 'uario' 5 -35815 'uated' 5 -35816 'uates' 5 -35817 'ubble' 5 -35818 'ubern' 5 -35819 'ubert' 5 -35820 'ublic' 5 -35821 'ublin' 5 -35822 'ubyte' 5 -35823 'uchar' 5 -35824 'uchen' 5 -35825 'ucing' 5 -35826 'ucion' 5 -35827 'ucked' 5 -35828 'ucker' 5 -35829 'ucket' 5 -35830 'uckle' 5 -35831 'uctor' 5 -35832 'uddle' 5 -35833 'udeau' 5 -35834 'udent' 5 -35835 'uding' 5 -35836 'udson' 5 -35837 'uelle' 5 -35838 'uerdo' 5 -35839 'uerto' 5 -35840 'uesta' 5 -35841 'uesto' 5 -35842 'ufact' 5 -35843 'uffed' 5 -35844 'uffer' 5 -35845 'uffix' 5 -35846 'uffle' 5 -35847 'uggle' 5 -35848 'ugins' 5 -35849 'uitar' 5 -35850 'ulant' 5 -35851 'ulate' 5 -35852 'ulent' 5 -35853 'uliar' 5 -35854 'uling' 5 -35855 'ulkan' 5 -35856 'ullah' 5 -35857 'ullen' 5 -35858 'ulner' 5 -35859 'ulong' 5 -35860 'ulose' 5 -35861 'ulous' 5 -35862 'ultan' 5 -35863 'ultur' 5 -35864 'ulté' 5 -35865 'umann' 5 -35866 'umbai' 5 -35867 'umber' 5 -35868 'umble' 5 -35869 'ument' 5 -35870 'umina' 5 -35871 'uming' 5 -35872 'ummer' 5 -35873 'umped' 5 -35874 'umper' 5 -35875 'uncan' 5 -35876 'uncia' 5 -35877 'undai' 5 -35878 'unday' 5 -35879 'undef' 5 -35880 'unden' 5 -35881 'under' 5 -35882 'undle' 5 -35883 'ungal' 5 -35884 'ungen' 5 -35885 'unger' 5 -35886 'ungle' 5 -35887 'uning' 5 -35888 'union' 5 -35889 'units' 5 -35890 'unity' 5 -35891 'unker' 5 -35892 'unned' 5 -35893 'unnel' 5 -35894 'unque' 5 -35895 'unset' 5 -35896 'unted' 5 -35897 'unter' 5 -35898 'until' 5 -35899 'untos' 5 -35900 'uplic' 5 -35901 'upper' 5 -35902 'uracy' 5 -35903 'urate' 5 -35904 'urban' 5 -35905 'urbed' 5 -35906 'ureau' 5 -35907 'urent' 5 -35908 'urers' 5 -35909 'urger' 5 -35910 'uries' 5 -35911 'uring' 5 -35912 'urity' 5 -35913 'urnal' 5 -35914 'urope' 5 -35915 'urous' 5 -35916 'urred' 5 -35917 'ursed' 5 -35918 'urses' 5 -35919 'ursor' 5 -35920 'urtle' 5 -35921 'usage' 5 -35922 'users' 5 -35923 'useum' 5 -35924 'ushed' 5 -35925 'ushes' 5 -35926 'using' 5 -35927 'usion' 5 -35928 'usive' 5 -35929 'ussed' 5 -35930 'ussen' 5 -35931 'ussia' 5 -35932 'usted' 5 -35933 'uster' 5 -35934 'ustin' 5 -35935 'ustom' 5 -35936 'usual' 5 -35937 'utely' 5 -35938 'uters' 5 -35939 'uteur' 5 -35940 'uther' 5 -35941 'utils' 5 -35942 'uting' 5 -35943 'ution' 5 -35944 'utive' 5 -35945 'utors' 5 -35946 'utory' 5 -35947 'utral' 5 -35948 'utsch' 5 -35949 'utter' 5 -35950 'utton' 5 -35951 'uture' 5 -35952 'uyên' 5 -35953 'uzzle' 5 -35954 'vable' 5 -35955 'valid' 5 -35956 'valor' 5 -35957 'value' 5 -35958 'varez' 5 -35959 'vault' 5 -35960 'vdots' 5 -35961 'velle' 5 -35962 'velop' 5 -35963 'venir' 5 -35964 'venth' 5 -35965 'vents' 5 -35966 'venue' 5 -35967 'verbs' 5 -35968 'verse' 5 -35969 'verte' 5 -35970 'verts' 5 -35971 'verty' 5 -35972 'vette' 5 -35973 'video' 5 -35974 'vider' 5 -35975 'vidia' 5 -35976 'views' 5 -35977 'villa' 5 -35978 'ville' 5 -35979 'vious' 5 -35980 'viron' 5 -35981 'virus' 5 -35982 'vised' 5 -35983 'visit' 5 -35984 'visor' 5 -35985 'vival' 5 -35986 'vocab' 5 -35987 'voice' 5 -35988 'votes' 5 -35989 'väst' 5 -35990 'wagen' 5 -35991 'walls' 5 -35992 'wards' 5 -35993 'wares' 5 -35994 'watch' 5 -35995 'water' 5 -35996 'waves' 5 -35997 'wedge' 5 -35998 'weeks' 5 -35999 'weets' 5 -36000 'weise' 5 -36001 'wheel' 5 -36002 'where' 5 -36003 'which' 5 -36004 'while' 5 -36005 'white' 5 -36006 'whole' 5 -36007 'whose' 5 -36008 'width' 5 -36009 'witch' 5 -36010 'wives' 5 -36011 'wiąz' 5 -36012 'woman' 5 -36013 'women' 5 -36014 'woods' 5 -36015 'words' 5 -36016 'works' 5 -36017 'world' 5 -36018 'worth' 5 -36019 'would' 5 -36020 'write' 5 -36021 'wrong' 5 -36022 'xhtml' 5 -36023 'xiety' 5 -36024 'xmlns' 5 -36025 'xpath' 5 -36026 'xture' 5 -36027 'xygen' 5 -36028 'yahoo' 5 -36029 'yards' 5 -36030 'ycler' 5 -36031 'years' 5 -36032 'yield' 5 -36033 'ylene' 5 -36034 'ylvan' 5 -36035 'ymbol' 5 -36036 'yntax' 5 -36037 'young' 5 -36038 'ystem' 5 -36039 'yster' 5 -36040 'ython' 5 -36041 'ytics' 5 -36042 'zeich' 5 -36043 'zeros' 5 -36044 'ział' 5 -36045 'zilla' 5 -36046 'zione' 5 -36047 'zsche' 5 -36048 '}}_{\\' 5 -36049 'ÇÃO' 5 -36050 'État' 5 -36051 'ában' 5 -36052 'ácil' 5 -36053 'ález' 5 -36054 'ális' 5 -36055 'álva' 5 -36056 'ámos' 5 -36057 'ának' 5 -36058 'ános' 5 -36059 'ání' 5 -36060 'ária' 5 -36061 'ário' 5 -36062 'ások' 5 -36063 'átum' 5 -36064 'ával' 5 -36065 'ável' 5 -36066 'ází' 5 -36067 'ână' 5 -36068 'âtre' 5 -36069 'äche' 5 -36070 'ächs' 5 -36071 'ächt' 5 -36072 'äger' 5 -36073 'ählt' 5 -36074 'äler' 5 -36075 'älle' 5 -36076 'ällt' 5 -36077 'ämä' 5 -36078 'ände' 5 -36079 'änge' 5 -36080 'ären' 5 -36081 'ässt' 5 -36082 'äter' 5 -36083 'ätte' 5 -36084 'ätze' 5 -36085 'äude' 5 -36086 'ään' 5 -36087 'ædia' 5 -36088 'çais' 5 -36089 'çois' 5 -36090 'çoit' 5 -36091 'ção' 5 -36092 'èces' 5 -36093 'èles' 5 -36094 'èmes' 5 -36095 'ènes' 5 -36096 'èque' 5 -36097 'ères' 5 -36098 'ètes' 5 -36099 'ètre' 5 -36100 'èves' 5 -36101 'ébec' 5 -36102 'ében' 5 -36103 'écur' 5 -36104 'éder' 5 -36105 'édia' 5 -36106 'édie' 5 -36107 'édé' 5 -36108 'élé' 5 -36109 'émet' 5 -36110 'émie' 5 -36111 'émon' 5 -36112 'ének' 5 -36113 'énez' 5 -36114 'énom' 5 -36115 'éné' 5 -36116 'éral' 5 -36117 'érer' 5 -36118 'érez' 5 -36119 'éric' 5 -36120 'érie' 5 -36121 'ério' 5 -36122 'éré' 5 -36123 'ésie' 5 -36124 'éső' 5 -36125 'état' 5 -36126 'éter' 5 -36127 'été' 5 -36128 'ével' 5 -36129 'êmes' 5 -36130 'êque' 5 -36131 'êtes' 5 -36132 'être' 5 -36133 'ícia' 5 -36134 'ício' 5 -36135 'ícul' 5 -36136 'ící' 5 -36137 'ígen' 5 -36138 'ília' 5 -36139 'ínez' 5 -36140 'íses' 5 -36141 'ível' 5 -36142 'ître' 5 -36143 'ñana' 5 -36144 'òria' 5 -36145 'ództ' 5 -36146 'ópez' 5 -36147 'ória' 5 -36148 'ório' 5 -36149 'ôtel' 5 -36150 'öder' 5 -36151 'önig' 5 -36152 'öße' 5 -36153 'úmer' 5 -36154 'über' 5 -36155 'ücke' 5 -36156 'ügel' 5 -36157 'ügen' 5 -36158 'ühle' 5 -36159 'ührt' 5 -36160 'üler' 5 -36161 'ület' 5 -36162 'ünst' 5 -36163 'ční' 5 -36164 'ędzy' 5 -36165 'ění' 5 -36166 'ılı' 5 -36167 'ında' 5 -36168 'ını' 5 -36169 'łoż' 5 -36170 'łuż' 5 -36171 'łów' 5 -36172 'ńczy' 5 -36173 'ńska' 5 -36174 'ński' 5 -36175 'ństw' 5 -36176 'ście' 5 -36177 'śnie' 5 -36178 'ště' 5 -36179 'ším' 5 -36180 'ướ' 5 -36181 'ườ' 5 -36182 'ưở' 5 -36183 'ượ' 5 -36184 'ảng' 5 -36185 'ằng' 5 -36186 'ịch' 5 -36187 'ống' 5 -36188 'ồng' 5 -36189 'ụng' 5 -36190 'ứng' 5 -36191 'ững' 5 -36192 '’il' 5 -36193 '’ll' 5 -36194 '’re' 5 -36195 '’ve' 5 -36196 '“No' 5 -36197 '”),' 5 -36198 '”).' 5 -36199 '…..' 5 -36200 '！",' 5 -36201 '： self.max_input_chars_per_word: + output_tokens.append(self.unk_token) + continue + + is_bad = False + start = 0 + sub_tokens = [] + while start < len(chars): + end = len(chars) + cur_substr = None + while start < end: + substr = bytes(chars[start:end]) + if substr in self.vocab: + cur_substr = substr + break + end -= 1 + if cur_substr is None: + is_bad = True + break + sub_tokens.append(cur_substr.decode()) + start = end + + if is_bad: + output_tokens.append(self.unk_token) + else: + output_tokens.extend(sub_tokens) + return output_tokens + + +class Rwkv5Tokenizer(PreTrainedTokenizer): + vocab_files_names = VOCAB_FILES_NAMES + pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP + max_model_input_sizes = {"ArthurZ/rwkv-5-utf": 2048} + + model_input_names = ["input_ids", "attention_mask"] + + def __init__(self, vocab_file, bos_token="", eos_token="", unk_token="", pad_token="",**kwargs): + if not os.path.isfile(vocab_file): + raise ValueError( + f"Can't find a vocabulary file at path '{vocab_file}'. To load the vocabulary from a Google pretrained" + " model use `tokenizer = BertTokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`" + ) + + with open(vocab_file, "r") as reader: + tokens = reader.readlines() + vocab = {} + for index, token in enumerate(tokens): + token = eval(token.rstrip("\n")) + vocab[token] = index + + self.add_bos_token = True + self.encoder = vocab + self.decoder = {v: k for k, v in vocab.items()} + self.wordpiece_tokenizer = WordpieceTokenizer(vocab=self.encoder, unk_token=str(unk_token)) + self._added_tokens_decoder = {0: AddedToken(str(bos_token))} + super().__init__(bos_token=bos_token, eos_token=eos_token, unk_token=unk_token, pad_token=pad_token, **kwargs) + + @property + def vocab_size(self): + return len(self.encoder) + + def get_vocab(self): + vocab = {str(self.convert_ids_to_tokens(i)): i for i in range(self.vocab_size)} + vocab.update(self.added_tokens_encoder) + return vocab + + def _tokenize(self, text, split_special_tokens=False): + return self.wordpiece_tokenizer.tokenize(text.encode("utf-8")) + + def _convert_token_to_id(self, token): + """Converts a token (byte) to an id using the vocab.""" + if not isinstance(token, bytes): + token = token.encode("utf-8", errors="replace") + return self.encoder.get(token, self.unk_token_id) + + def _convert_id_to_token(self, index): + """Converts an index (integer) in a token (byte) using the vocab.""" + token = self.decoder.get(index, self.unk_token) + if isinstance(token, (bytes)): + token = token.decode("utf-8", errors="replace") + return token + + def convert_tokens_to_string(self, tokens): + """Converts a sequence of tokens (bytes) in a single string. Additional tokens are encoded to bytes""" + out_string = b"".join([k.encode(errors="replace") if isinstance(k, str) else k for k in tokens]).decode( + "utf-8" + ) + return out_string + + def save_vocabulary(self, save_directory: str, filename_prefix: Optional[str] = None) -> Tuple[str]: + index = 0 + if os.path.isdir(save_directory): + vocab_file = os.path.join( + save_directory, (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] + ) + else: + vocab_file = (filename_prefix + "-" if filename_prefix else "") + save_directory + with open(vocab_file, "w") as writer: + for token, token_index in sorted(self.encoder.items(), key=lambda kv: kv[1]): + if index != token_index: + logger.warning( + f"Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive." + " Please check that the vocabulary is not corrupted!" + ) + index = token_index + writer.write(str(token) + "\n") + index += 1 + return (vocab_file,) + + def build_inputs_with_special_tokens(self, token_ids_0, token_ids_1=None): + if self.add_bos_token: + bos_token_ids = [self.bos_token_id] + else: + bos_token_ids = [] + + output = bos_token_ids + token_ids_0 + + if token_ids_1 is None: + return output + + return output + bos_token_ids + token_ids_1 + + def get_special_tokens_mask( + self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None, already_has_special_tokens: bool = False + ) -> List[int]: + """ + Retrieves sequence ids from a token list that has no special tokens added. This method is called when adding + special tokens using the tokenizer `prepare_for_model` or `encode_plus` methods. + + Args: + token_ids_0 (`List[int]`): + List of IDs. + token_ids_1 (`List[int]`, *optional*): + Optional second list of IDs for sequence pairs. + already_has_special_tokens (`bool`, *optional*, defaults to `False`): + Whether or not the token list is already formatted with special tokens for the model. + + Returns: + `List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token. + """ + if already_has_special_tokens: + return super().get_special_tokens_mask( + token_ids_0=token_ids_0, token_ids_1=token_ids_1, already_has_special_tokens=True + ) + + if not self.add_bos_token: + return super().get_special_tokens_mask( + token_ids_0=token_ids_0, token_ids_1=token_ids_1, already_has_special_tokens=False + ) + + if token_ids_1 is None: + return [1] + ([0] * len(token_ids_0)) + return [1] + ([0] * len(token_ids_0)) + [1] + ([0] * len(token_ids_1)) diff --git a/tokenization_rwkv_world.py b/tokenization_rwkv_world.py deleted file mode 100644 index 91bdcccd25d0e20992a8a18cbb2d2caddc66da4f..0000000000000000000000000000000000000000 --- a/tokenization_rwkv_world.py +++ /dev/null @@ -1,549 +0,0 @@ -# coding=utf-8 -# Copyright 2018 The Open AI Team Authors and The HuggingFace Inc. team. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -"""Tokenization classes for RWKV5.""" - -import json -import os -from typing import TYPE_CHECKING, List, Optional, Tuple, Union - -from transformers.tokenization_utils import PreTrainedTokenizer -from transformers.tokenization_utils_base import ( - BatchEncoding, - EncodedInput, - TextInput, - TruncationStrategy, -) -from transformers.utils import PaddingStrategy, TensorType, logging, to_py_obj - - -if TYPE_CHECKING: - from transformers.pipelines.conversational import Conversation - -logger = logging.get_logger(__name__) - -VOCAB_FILES_NAMES = { - "vocab_file": "rwkv_vocab_v20230424.txt", -} -PRETRAINED_VOCAB_FILES_MAP = { - "vocab_file": { - "RWKV/rwkv-5-world-169m": "https://huggingface.co/RWKV/rwkv-5-world-169m/blob/main/rwkv_vocab_v20230424.txt", - }, -} - - -class TRIE: - __slots__ = tuple("ch,to,values,front".split(",")) - to: list - values: set - - def __init__(self, front=None, ch=None): - self.ch = ch - self.to = [None for ch in range(256)] - self.values = set() - self.front = front - - def __repr__(self): - fr = self - ret = [] - while fr is not None: - if fr.ch is not None: - ret.append(fr.ch) - fr = fr.front - return "" % (ret[::-1], self.values) - - def add(self, key: bytes, idx: int = 0, val=None): - if idx == len(key): - if val is None: - val = key - self.values.add(val) - return self - ch = key[idx] - if self.to[ch] is None: - self.to[ch] = TRIE(front=self, ch=ch) - return self.to[ch].add(key, idx=idx + 1, val=val) - - def find_longest(self, key: bytes, idx: int = 0): - u: TRIE = self - ch: int = key[idx] - - while u.to[ch] is not None: - u = u.to[ch] - idx += 1 - if u.values: - ret = idx, u, u.values - if idx == len(key): - break - ch = key[idx] - return ret - - -class RWKVWorldTokenizer(PreTrainedTokenizer): - vocab_files_names = VOCAB_FILES_NAMES - model_input_names = ["input_ids", "attention_mask"] - - def __init__(self, vocab_file, errors="replace", pad_token="0", **kwargs): - self.add_bos_token = False - self.encoder = {} - sorted = [] # must be already sorted - with open(vocab_file, "r", encoding="utf-8") as f: - lines = f.readlines() - for l in lines: - idx = int(l[: l.index(" ")]) - x = eval(l[l.index(" ") : l.rindex(" ")]) - x = x.encode("utf-8") if isinstance(x, str) else x - assert isinstance(x, bytes) - assert len(x) == int(l[l.rindex(" ") :]) - sorted += [x] - self.encoder[idx] = x - - self.decoder = {} - for k, v in self.encoder.items(): - self.decoder[v] = int(k) - - self.trie = TRIE() - for t, i in self.decoder.items(): - _ = self.trie.add(t, val=(t, i)) - self.errors = errors # how to handle errors in decoding - self.cache = {} - self.first_max_length = 0 - super().__init__( - errors=errors, - **kwargs, - ) - - @property - def eos_token_id(self) -> Optional[int]: - return 0 - - @property - def eot_token_id(self) -> Optional[int]: - return 0 - - @property - def pad_token_id(self) -> Optional[int]: - return 0 - - @property - def vocab_size(self): - return len(self.encoder) - - def get_vocab(self): - return dict(self.encoder, **self.added_tokens_encoder) - - def add_tokens(self, new_tokens, special_tokens: bool = False): - for token in new_tokens: - token_id = self.convert_tokens_to_ids(token) - self.added_tokens_decoder[token_id] = token - - def convert_ids_to_tokens(self, ids, skip_special_tokens=False): - if isinstance(ids, int): - ids = [ids] - tokens = [] - for id_ in ids: - if id_ in self.added_tokens_decoder: - tokens.append(self.added_tokens_decoder[id_]) - else: - tokens.append(self._convert_id_to_token(id_)) - return tokens - - def build_inputs_with_special_tokens(self, token_ids_0, token_ids_1=None): - if self.add_bos_token: - bos_token_ids = [self.bos_token_id] - else: - bos_token_ids = [] - - output = bos_token_ids + token_ids_0 - - if token_ids_1 is None: - return output - - return output + bos_token_ids + token_ids_1 - - def get_special_tokens_mask( - self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None, already_has_special_tokens: bool = False - ) -> List[int]: - """ - Retrieves sequence ids from a token list that has no special tokens added. This method is called when adding - special tokens using the tokenizer `prepare_for_model` or `encode_plus` methods. - - Args: - token_ids_0 (`List[int]`): - List of IDs. - token_ids_1 (`List[int]`, *optional*): - Optional second list of IDs for sequence pairs. - already_has_special_tokens (`bool`, *optional*, defaults to `False`): - Whether or not the token list is already formatted with special tokens for the model. - - Returns: - `List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token. - """ - if already_has_special_tokens: - return super().get_special_tokens_mask( - token_ids_0=token_ids_0, token_ids_1=token_ids_1, already_has_special_tokens=True - ) - - if not self.add_bos_token: - return super().get_special_tokens_mask( - token_ids_0=token_ids_0, token_ids_1=token_ids_1, already_has_special_tokens=False - ) - - if token_ids_1 is None: - return [1] + ([0] * len(token_ids_0)) - return [1] + ([0] * len(token_ids_0)) + [1] + ([0] * len(token_ids_1)) - - def encodeBytes(self, src: bytes): - idx: int = 0 - tokens = [] - while idx < len(src): - _idx: int = idx - idx, _, values = self.trie.find_longest(src, idx) - assert idx != _idx - _, token = next(iter(values)) - tokens.append(token) - return tokens - - def decodeBytes(self, tokens): - return b"".join(map(lambda i: self.encoder[i], tokens)) # noqa - - def _tokenize(self, text, **kwargs): - """Tokenize a string.""" - return self.encodeBytes(text.encode("utf-8")) - - def _decode_tokens(self, tokens): - try: - return self.decodeBytes(tokens).decode("utf-8") - except Exception: - return "\ufffd" # bad utf-8 - - def _decode( - self, - token_ids: Union[int, List[int]], - skip_special_tokens: bool = False, - **kwargs, - ) -> str: - def remove_zeros_from_first_segment(token_ids, first_max_length): - first_segment = token_ids[:first_max_length] - first_segment_cleaned = [token for token in first_segment if token != 0] - return first_segment_cleaned + token_ids[first_max_length:] - - # Convert inputs to python lists - token_ids = to_py_obj(token_ids) - token_ids = remove_zeros_from_first_segment(token_ids, self.first_max_length) - if isinstance(token_ids, int): - if token_ids in self.all_special_ids and skip_special_tokens: - return "" - return self.encoder.get(token_ids, self.unk_token) - elif isinstance(token_ids, list): - self.first_max_length - out_str = "" - out_last = 0 - out_tokens = [] - for i, token in enumerate(token_ids): - if token == 0: - break - out_tokens += [token] - tmp = self._decode_tokens(out_tokens[out_last:]) - if "\ufffd" not in tmp: - out_str += tmp - out_last = i + 1 - return out_str - else: - return token_ids - - def _convert_token_to_id(self, token): - """Converts a token (str) in an id using the vocab.""" - return self.encoder.get(token, self.encoder.get(self.unk_token)) - - def _convert_id_to_token(self, index): - """Converts an index (integer) in a token (str) using the vocab.""" - return self.decoder.get(index) - - def save_vocabulary(self, save_directory: str, filename_prefix: Optional[str] = None) -> Tuple[str]: - if not os.path.exists(save_directory): - os.mkdir(save_directory) - if not os.path.isdir(save_directory): - logger.error(f"Vocabulary path ({save_directory}) should be a directory") - return - vocab_file = os.path.join( - save_directory, (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] - ) - - with open(vocab_file, "w", encoding="utf-8") as f: - for idx, x in self.encoder.items(): - if isinstance(x, str): - x = x.decode("utf-8") - line = f"{idx} {repr(x)} {len(x)}\n" - f.write(line) - - return (vocab_file,) - - def prepare_for_tokenization(self, text, **kwargs): - return (text, kwargs) - - def _get_padding_truncation_strategies( - self, padding=False, truncation=None, max_length=None, pad_to_multiple_of=None, verbose=True, **kwargs - ): - return PaddingStrategy.LONGEST, TruncationStrategy.DO_NOT_TRUNCATE, -1, kwargs - - def _encode_plus( - self, - text: Union[TextInput, EncodedInput], - add_special_tokens: bool = True, - padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD, - truncation_strategy: TruncationStrategy = TruncationStrategy.DO_NOT_TRUNCATE, - max_length: Optional[int] = None, - stride: int = 0, - pad_to_multiple_of: Optional[int] = None, - return_tensors: Optional[Union[str, TensorType]] = None, - return_token_type_ids: Optional[bool] = None, - return_attention_mask: Optional[bool] = None, - return_overflowing_tokens: bool = False, - return_special_tokens_mask: bool = False, - return_offsets_mapping: bool = False, - return_length: bool = False, - verbose: bool = True, - **kwargs, - ) -> BatchEncoding: - def get_input_ids(text, max_length=None, pad_token_id=0): - def pad_sequence(seq, max_len, pad_tok): - return [pad_tok] * (max_len - len(seq)) + seq - - if isinstance(text, str): - tokens = self._tokenize(text) - if max_length is not None: - tokens = pad_sequence(tokens, max_length, pad_token_id) - return tokens - - elif isinstance(text, list) and len(text) > 0 and isinstance(text[0], str): - tokenized_texts = [self._tokenize(t) for t in text] - if max_length is None: - max_length = max(len(t) for t in tokenized_texts) - return [pad_sequence(t, max_length, pad_token_id) for t in tokenized_texts] - - elif isinstance(text, (list, tuple)) and len(text) > 0 and isinstance(text[0], int): - if max_length is not None and len(text) < max_length: - return pad_sequence(text, max_length, pad_token_id) - return text - - else: - raise ValueError( - "Input is not valid. Should be a string, a list/tuple of strings or a list/tuple of integers." - ) - - if return_offsets_mapping: - raise NotImplementedError( - "return_offset_mapping is not available when using Python tokenizers. " - "To use this feature, change your tokenizer to one deriving from " - "transformers.PreTrainedTokenizerFast. " - "More information on available tokenizers at " - "https://github.com/huggingface/transformers/pull/2674" - ) - - first_ids = get_input_ids(text) - - return self.prepare_for_model( - first_ids, - pair_ids=None, - add_special_tokens=add_special_tokens, - padding=padding_strategy.value, - truncation=truncation_strategy.value, - max_length=max_length, - stride=stride, - pad_to_multiple_of=pad_to_multiple_of, - return_tensors=return_tensors, - prepend_batch_axis=True, - return_attention_mask=return_attention_mask, - return_token_type_ids=return_token_type_ids, - return_overflowing_tokens=return_overflowing_tokens, - return_special_tokens_mask=return_special_tokens_mask, - return_length=return_length, - verbose=verbose, - ) - - def _batch_encode_plus( - self, - batch_text_or_text_pairs: Union[ - List[TextInput], - List[EncodedInput], - ], - add_special_tokens: bool = True, - padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD, - truncation_strategy: TruncationStrategy = TruncationStrategy.DO_NOT_TRUNCATE, - max_length: Optional[int] = None, - stride: int = 0, - pad_to_multiple_of: Optional[int] = None, - return_tensors: Optional[Union[str, TensorType]] = None, - return_token_type_ids: Optional[bool] = None, - return_attention_mask: Optional[bool] = None, - return_overflowing_tokens: bool = False, - return_special_tokens_mask: bool = False, - return_offsets_mapping: bool = False, - return_length: bool = False, - verbose: bool = True, - **kwargs, - ) -> BatchEncoding: - def get_input_ids(text, max_length=None, pad_token_id=0): - def pad_sequence(seq, max_len, pad_tok): - return [pad_tok] * (max_len - len(seq)) + seq - - if isinstance(text, str): - tokens = self._tokenize(text) - if max_length is not None: - tokens = pad_sequence(tokens, max_length, pad_token_id) - return tokens - - elif isinstance(text, list) and len(text) > 0 and isinstance(text[0], str): - tokenized_texts = [self._tokenize(t) for t in text] - if max_length is None: - max_length = max(len(t) for t in tokenized_texts) - return [pad_sequence(t, max_length, pad_token_id) for t in tokenized_texts] - - elif isinstance(text, (list, tuple)) and len(text) > 0 and isinstance(text[0], int): - if max_length is not None and len(text) < max_length: - return pad_sequence(text, max_length, pad_token_id) - return text - - else: - raise ValueError( - "Input is not valid. Should be a string, a list/tuple of strings or a list/tuple of integers." - ) - - if return_offsets_mapping: - raise NotImplementedError( - "return_offset_mapping is not available when using Python tokenizers. " - "To use this feature, change your tokenizer to one deriving from " - "transformers.PreTrainedTokenizerFast." - ) - - first_max_length = 0 - second_max_length = 0 - for ids_or_pair_ids in batch_text_or_text_pairs: - if not isinstance(ids_or_pair_ids, (list, tuple)): - ids, pair_ids = ids_or_pair_ids, None - else: - ids, pair_ids = ids_or_pair_ids - first_ids = get_input_ids(ids) - second_ids = get_input_ids(pair_ids) if pair_ids is not None else None - first_max_length = max(first_max_length, len(first_ids)) - if second_ids is not None: - second_max_length = max(second_max_length, len(second_ids)) - - self.first_max_length = first_max_length - input_ids = [] - for ids_or_pair_ids in batch_text_or_text_pairs: - if not isinstance(ids_or_pair_ids, (list, tuple)): - ids, pair_ids = ids_or_pair_ids, None - else: - ids, pair_ids = ids_or_pair_ids - - first_ids = get_input_ids(ids, max_length=first_max_length) - second_ids = get_input_ids(pair_ids, max_length=second_max_length) if pair_ids is not None else None - input_ids.append((first_ids, second_ids)) - - batch_outputs = self._batch_prepare_for_model( - input_ids, - add_special_tokens=add_special_tokens, - padding_strategy=padding_strategy, - truncation_strategy=truncation_strategy, - max_length=max_length, - stride=stride, - pad_to_multiple_of=pad_to_multiple_of, - return_attention_mask=return_attention_mask, - return_token_type_ids=return_token_type_ids, - return_overflowing_tokens=return_overflowing_tokens, - return_special_tokens_mask=return_special_tokens_mask, - return_length=return_length, - return_tensors=return_tensors, - verbose=verbose, - ) - - return BatchEncoding(batch_outputs) - - def decode( - self, - token_ids: Union[int, List[int]], - skip_special_tokens: bool = False, - clean_up_tokenization_spaces: bool = None, - **kwargs, - ) -> str: - """ - Converts a sequence of ids in a string, using the tokenizer and vocabulary with options to remove special - tokens and clean up tokenization spaces. - - Similar to doing `self.convert_tokens_to_string(self.convert_ids_to_tokens(token_ids))`. - - Args: - token_ids (`Union[int, List[int], np.ndarray, torch.Tensor, tf.Tensor]`): - List of tokenized input ids. Can be obtained using the `__call__` method. - skip_special_tokens (`bool`, *optional*, defaults to `False`): - Whether or not to remove special tokens in the decoding. - clean_up_tokenization_spaces (`bool`, *optional*): - Whether or not to clean up the tokenization spaces. If `None`, will default to - `self.clean_up_tokenization_spaces`. - kwargs (additional keyword arguments, *optional*): - Will be passed to the underlying model specific decode method. - - Returns: - `str`: The decoded sentence. - """ - # Convert inputs to python lists - return self._decode( - token_ids=token_ids, - skip_special_tokens=skip_special_tokens, - clean_up_tokenization_spaces=clean_up_tokenization_spaces, - **kwargs, - ) - - def batch_decode( - self, - sequences: Union[List[int], List[List[int]]], - skip_special_tokens: bool = False, - clean_up_tokenization_spaces: bool = None, - **kwargs, - ) -> List[str]: - """ - Convert a list of lists of token ids into a list of strings by calling decode. - - Args: - sequences (`Union[List[int], List[List[int]], np.ndarray, torch.Tensor, tf.Tensor]`): - List of tokenized input ids. Can be obtained using the `__call__` method. - skip_special_tokens (`bool`, *optional*, defaults to `False`): - Whether or not to remove special tokens in the decoding. - clean_up_tokenization_spaces (`bool`, *optional*): - Whether or not to clean up the tokenization spaces. If `None`, will default to - `self.clean_up_tokenization_spaces`. - kwargs (additional keyword arguments, *optional*): - Will be passed to the underlying model specific decode method. - - Returns: - `List[str]`: The list of decoded sentences. - """ - return [ - self.decode( - seq, - skip_special_tokens=skip_special_tokens, - clean_up_tokenization_spaces=clean_up_tokenization_spaces, - **kwargs, - ) - for seq in sequences - ] - - def _build_conversation_input_ids(self, conversation: "Conversation") -> List[int]: - input_ids = [] - for is_user, text in conversation.iter_texts(): - input_ids.extend(self.encode(text, add_special_tokens=False) + [self.eos_token_id]) - if len(input_ids) > self.model_max_length: - input_ids = input_ids[-self.model_max_length :] - return input_ids diff --git a/tokenizer_config.json b/tokenizer_config.json index d19b0e5a67e1ff9906b89748ace8eb466feac74c..cd34c18fea2dbc78efb93355904fc0e347db5450 100644 --- a/tokenizer_config.json +++ b/tokenizer_config.json @@ -1,12 +1,23 @@ { - "name_or_path": "rwkv-world", - "add_prefix_space": false, - "tokenizer_class": "RWKVWorldTokenizer", - "use_fast": false, "auto_map": { "AutoTokenizer": [ - "tokenization_rwkv_world.RWKVWorldTokenizer", + "tokenization_rwkv5.Rwkv5Tokenizer", null ] - } + }, + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + } + }, + "bos_token": "", + "clean_up_tokenization_spaces": true, + "eos_token": "", + "model_max_length": 1000000000000000019884624838656, + "unk_token": "" } \ No newline at end of file diff --git a/vocab.txt b/vocab.txt new file mode 100644 index 0000000000000000000000000000000000000000..715ca8a3a045469090c0abc45061e41fccbcfbf3 --- /dev/null +++ b/vocab.txt @@ -0,0 +1,65530 @@ +b'' +b'\x00' +b'\x01' +b'\x02' +b'\x03' +b'\x04' +b'\x05' +b'\x06' +b'\x07' +b'\x08' +b'\t' +b'\n' +b'\x0b' +b'\x0c' +b'\r' +b'\x0e' +b'\x0f' +b'\x10' +b'\x11' +b'\x12' +b'\x13' 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Esp' +b' Ess' +b' Est' +b' Eth' +b' Eug' +b' Eur' +b' Eva' +b' Eve' +b' Exc' +b' Exp' +b' Ext' +b' Eye' +b' FAA' +b' FAC' +b' FAQ' +b' FAR' +b' FAT' +b' FBI' +b' FCC' +b' FDA' +b' FFT' +b' FIF' +b' FIG' +b' FIL' +b' FIN' +b' FIR' +b' FIT' +b' FIX' +b' FOR' +b' FOX' +b' FPS' +b' FTP' +b' FUN' +b' Fab' +b' Fac' +b' Fah' +b' Fal' +b' Fam' +b' Fan' +b' Far' +b' Fas' +b' Fat' +b' Fay' +b' Feb' +b' Fed' +b' Fel' +b' Fem' +b' Fen' +b' Fer' +b' Fet' +b' Few' +b' Fib' +b' Fif' +b' Fig' +b' Fil' +b' Fin' +b' Fir' +b' Fit' +b' Fix' +b' Fla' +b' Fle' +b' Flo' +b' Flu' +b' Fly' +b' Fog' +b' Fol' +b' Fon' +b' Foo' +b' For' +b' Fot' +b' Fou' +b' Fox' +b' Fra' +b' Fre' +b' Fri' +b' Fro' +b' Fry' +b' Fuj' +b' Fuk' +b' Ful' +b' Fun' +b' Fur' +b' Fut' +b' F\xc3\xa9' +b' GAM' +b' GCC' +b' GDP' +b' GEN' +b' GET' +b' GFP' +b' GHz' +b' GMT' +b' GNU' +b' GOD' +b' GOP' +b' GPL' +b' GPS' +b' GPU' +b' GRE' +b' GRO' +b' GSM' +b' GST' +b' GUI' +b' Gab' +b' Gad' +b' Gal' +b' Gam' +b' Gan' +b' Gap' +b' Gar' +b' Gas' +b' Gat' +b' Gay' +b' Gaz' +b' GeV' +b' Geb' +b' Ged' +b' Geg' +b' Gel' +b' Gem' +b' Gen' +b' Geo' +b' Ger' +b' Ges' +b' Get' +b' Gew' +b' Gib' +b' Gig' +b' Gil' +b' Gin' +b' Gir' +b' Git' +b' Gle' +b' Gly' +b' Gob' +b' God' +b' Gol' +b' Gon' +b' Gor' +b' Gos' +b' Got' +b' Gov' +b' Gow' +b' Gra' +b' Gre' +b' Gri' +b' Gro' +b' Gru' +b' Gtk' +b' Gul' +b' Gum' +b' Gun' +b' Gur' +b' Gus' +b' Gut' +b' Guy' +b' Gym' +b' G\xc3\xa4' +b' G\xc3\xa9' +b' G\xc3\xb3' +b' G\xc3\xb6' +b' G\xc3\xbc' +b' HAL' +b' HAR' +b' HAS' +b' HBO' +b' HEL' +b' HER' +b' HIS' +b' HIV' +b' HMS' +b' HOW' +b' HPV' +b' HTC' +b' Hab' +b' Had' +b' Hag' +b' Hai' +b' Haj' +b' Hak' +b' Hal' +b' Ham' +b' Han' +b' Har' +b' Has' +b' Hat' +b' Hav' +b' Haw' +b' Hay' +b' Haz' +b' Heb' +b' Hed' +b' Hel' +b' Hem' +b' Hen' +b' Hep' +b' Her' +b' Het' +b' Hew' +b' Hex' +b' Hey' +b' Hib' +b' Hig' +b' Hij' +b' Hil' +b' Him' +b' Hin' +b' Hip' +b' Hir' +b' His' +b' Hit' +b' Hmm' +b' Hob' +b' Hod' +b' Hof' +b' Hog' +b' Hol' +b' Hom' +b' Hon' +b' Hop' +b' Hor' +b' Hos' +b' Hot' +b' Hou' +b' How' +b' Hoy' +b' Hua' +b' Hub' +b' Hud' +b' Hug' +b' Hum' +b' Hun' +b' Hur' +b' Hus' +b' Hut' +b' Hyp' +b' H\xc3\xa4' +b' H\xc3\xb6' +b' IBM' +b' ICC' +b' ICE' +b' ICO' +b' ICT' +b' ICU' +b' IDE' +b' IDs' +b' III' +b' IIS' +b' IMF' +b' IMP' +b' INC' +b' IND' +b' INF' +b' INS' +b' INT' +b' IPA' +b' IPO' +b' IPS' +b' IPv' +b' IRA' +b' IRC' +b' IRS' +b' ISO' +b' ISP' +b' ISS' +b' ITE' +b' ITS' +b' Ian' +b' Ice' +b' Ich' +b' Ide' +b' Ign' +b' Ill' +b' Ils' +b' Imm' +b' Imp' +b' Inc' +b' Ind' +b' Inf' +b' Ing' +b' Ink' +b' Inn' +b' Ins' +b' Int' +b' Inv' +b' IoT' +b' Ion' +b' Ips' +b' Ira' +b' Isa' +b' Ish' +b' Isl' +b' Isn' +b' Iss' +b' Ist' +b' Its' +b' Ivy' +b' JVM' +b' Jab' +b' Jac' +b' Jag' +b' Jah' +b' Jak' +b' Jal' +b' Jam' +b' Jan' +b' Jar' +b' Jas' +b' Jaw' +b' Jay' +b' Jed' +b' Jen' +b' Jer' +b' Jes' +b' Jet' +b' Jew' +b' Jim' +b' Jin' +b' Job' +b' Joe' +b' Joh' +b' Jon' +b' Jos' +b' Joy' +b' Jub' +b' Jud' +b' Jug' +b' Jul' +b' Jun' +b' Jur' +b' J\xc3\xa1' +b' J\xc3\xb3' +b' KDE' +b' KEY' +b' Kab' +b' Kad' +b' Kag' +b' Kah' +b' Kai' +b' Kak' +b' Kal' +b' Kam' +b' Kan' +b' Kap' +b' Kar' +b' Kas' +b' Kat' +b' Kaw' +b' Kay' +b' Kaz' +b' Kel' +b' Kem' +b' Ken' +b' Ker' +b' Kes' +b' Ket' +b' Key' +b' Kid' +b' Kil' +b' Kim' +b' Kin' +b' Kir' +b' Kit' +b' Kle' +b' Kob' +b' Kod' +b' Koh' +b' Kok' +b' Kol' +b' Kom' +b' Kon' +b' Kop' +b' Kor' +b' Kos' +b' Kot' +b' Kou' +b' Kov' +b' Kra' +b' Kre' +b' Kro' +b' Kub' +b' Kul' +b' Kum' +b' Kun' +b' Kur' +b' Kut' +b' K\xc3\xb6' +b' K\xc3\xbc' +b' LAB' +b' LAN' +b' LAP' +b' LAS' +b' LAT' +b' LAW' +b' LCD' +b' LDL' +b' LED' +b' LEG' +b' LET' +b' LIB' +b' LIM' +b' LIN' +b' LLC' +b' LLP' +b' LOC' +b' LOG' +b' LOL' +b' LOS' +b' LOT' +b' LPS' +b' LSD' +b' LTE' +b' Lab' +b' Lac' +b' Lad' +b' Laf' +b' Lag' +b' Lah' +b' Lak' +b' Lal' +b' Lam' +b' Lan' +b' Lap' +b' Lar' +b' Las' +b' Lat' +b' Lau' +b' Lav' +b' Law' +b' Lay' +b' Laz' +b' Leb' +b' Lec' +b' Led' +b' Lee' +b' Leg' +b' Leh' +b' Lei' +b' Lem' +b' Len' +b' Leo' +b' Ler' +b' Les' +b' Let' +b' Lev' +b' Lew' +b' Lex' +b' Ley' +b' Lia' +b' Lib' +b' Lic' +b' Lid' +b' Lie' +b' Lif' +b' Lig' +b' Lik' +b' Lil' +b' Lim' +b' Lin' +b' Lip' +b' Lis' +b' Lit' +b' Liu' +b' Liv' +b' Liz' +b' Lob' +b' Loc' +b' Log' +b' Lok' +b' Lon' +b' Lor' +b' Los' +b' Lot' +b' Lou' +b' Lov' +b' Low' +b' Ltd' +b' Lua' +b' Lub' +b' Luc' +b' Lud' +b' Lug' +b' Luk' +b' Lum' +b' Lun' +b' Lup' +b' Lux' +b' Lyn' +b' Lys' +b' L\xc3\xa9' +b' L\xc3\xb6' +b' L\xc3\xbc' +b' MAC' +b' MAG' +b' MAL' +b' MAN' +b' MAP' +b' MAR' +b' MAS' +b' MAT' +b' MAX' +b' MAY' +b' MBA' +b' MED' +b' MEM' +b' MEN' +b' MEP' +b' MER' +b' MET' +b' MHz' +b' MIC' +b' MID' +b' MIL' +b' MIN' +b' MIS' +b' MIT' +b' MLB' +b' MLP' +b' MLS' +b' MMA' +b' MMP' +b' MOD' +b' MON' +b' MOR' +b' MOS' +b' MOT' +b' MPI' +b' MPs' +b' MRI' +b' MSC' +b' MSE' +b' MSG' +b' MSM' +b' MTV' +b' MUS' +b' MVC' +b' MVP' +b' Mac' +b' Mad' +b' Mae' +b' Mag' +b' Mah' +b' Mai' +b' Maj' +b' Mak' +b' Mal' +b' Mam' +b' Man' +b' Mao' +b' Map' +b' Mar' +b' Mas' +b' Mat' +b' Mau' +b' Max' +b' May' +b' Maz' +b' McC' +b' McD' +b' McG' +b' McK' +b' McL' +b' McN' +b' MeV' +b' Med' +b' Meg' +b' Meh' +b' Mei' +b' Mel' +b' Mem' +b' Men' +b' Mer' +b' Mes' +b' Met' +b' Mex' +b' Mey' +b' Mia' +b' Mic' +b' Mid' +b' Mig' +b' Mik' +b' Mil' +b' Mim' +b' Min' +b' Mir' +b' Mis' +b' Mit' +b' Mix' +b' Miy' +b' Miz' +b' Mob' +b' Mod' +b' Mog' +b' Moh' +b' Mol' +b' Mom' +b' Mon' +b' Mor' +b' Mos' +b' Mot' +b' Mou' +b' Mov' +b' Moy' +b' Moz' +b' Mrs' +b' Msg' +b' Mud' +b' Mug' +b' Muk' +b' Mul' +b' Mum' +b' Mun' +b' Mur' +b' Mus' +b' Mut' +b' Mys' +b' M\xc3\xa9' +b' M\xc3\xb6' +b' M\xc3\xbc' +b' NAD' +b' NAS' +b' NAT' +b' NBA' +b' NBC' +b' NEC' +b' NET' +b' NEW' +b' NFC' +b' NFL' +b' NGC' +b' NGO' +b' NHL' +b' NHS' +b' NIC' +b' NIH' +b' NON' +b' NOR' +b' NOT' +b' NOW' +b' NPC' +b' NPR' +b' NRA' +b' NSA' +b' NSW' +b' NUM' +b' NYC' +b' NaN' +b' Nab' +b' Nad' +b' Nag' +b' Nah' +b' Naj' +b' Nak' +b' Nam' +b' Nan' +b' Nap' +b' Nar' +b' Nas' +b' Nat' +b' Nav' +b' Naz' +b' Neb' +b' Nec' +b' Ned' +b' Neg' +b' Nel' +b' Nem' +b' Neo' +b' Nep' +b' Ner' +b' Net' +b' Neu' +b' Nev' +b' New' +b' Nex' +b' Nic' +b' Nie' +b' Nig' +b' Nik' +b' Nil' +b' Nim' +b' Nin' +b' Nit' +b' Nob' +b' Nom' +b' Non' +b' Nor' +b' Nos' +b' Not' +b' Nou' +b' Nov' +b' Now' +b' Nug' +b' Num' +b' Nun' +b' Nur' +b' Nut' +b' N\xc3\xa4' +b' N\xc3\xa9' +b' OCD' +b' OCT' +b' OFF' +b' ONE' +b' OPT' +b' OUR' +b' OUT' +b' Oak' +b' Obj' +b' Obl' +b' Obs' +b' Occ' +b' Oct' +b' Odd' +b' Off' +b' Oil' +b' Old' +b' Ole' +b' One' +b' Ont' +b' Opp' +b' Ops' +b' Opt' +b' Orb' +b' Ord' +b' Ore' +b' Org' +b' Ori' +b' Orn' +b' Ort' +b' Osc' +b' Ost' +b' Ott' +b' Our' +b' Out' +b' Own' +b' PAC' +b' PAD' +b' PAL' +b' PAN' +b' PAR' +b' PAS' +b' PAT' +b' PAY' +b' PBS' +b' PCA' +b' PCB' +b' PCI' +b' PCR' +b' PCs' +b' PDB' +b' PDF' +b' PDO' +b' PDT' +b' PEM' +b' PER' +b' PET' +b' PHP' +b' PHY' +b' PID' +b' PIL' +b' PIN' +b' PLA' +b' PLC' +b' PLL' +b' PMC' +b' PNG' +b' POL' +b' POP' +b' POS' +b' PPP' +b' PRE' +b' PRI' +b' PRO' +b' PSA' +b' PSD' +b' PST' +b' PUR' +b' PUT' +b' PVC' +b' Pac' +b' Pad' +b' Pag' +b' Pak' +b' Pal' +b' Pam' +b' Pan' +b' Pap' +b' Par' +b' Pas' +b' Pat' +b' Pav' +b' Paw' +b' Pay' +b' Paz' +b' Pdf' +b' Pec' +b' Ped' +b' Peg' +b' Pel' +b' Pen' +b' Pep' +b' Per' +b' Pes' +b' Pet' +b' PhD' +b' Phi' +b' Pho' +b' Pic' +b' Pie' +b' Pig' +b' Pik' +b' Pil' +b' Pin' +b' Pip' +b' Pir' +b' Pis' +b' Pit' +b' Pix' +b' Ple' +b' Ply' +b' Pod' +b' Pok' +b' Pol' +b' Pom' +b' Pon' +b' Pop' +b' Por' +b' Pos' +b' Pot' +b' Pow' +b' Poz' +b' Pra' +b' Pre' +b' Pri' +b' Pro' +b' Psy' +b' Pub' +b' Pul' +b' Pun' +b' Pur' +b' Put' +b' P\xc3\xa9' +b' QUE' +b' Que' +b' Qui' +b' RAD' +b' RAF' +b' RAM' +b' RAW' +b' RBI' +b' REC' +b' RED' +b' REF' +b' REG' +b' REL' +b' REM' +b' RES' +b' RET' +b' RFC' +b' RGB' +b' RIP' +b' RMS' +b' RNA' +b' ROC' +b' ROI' +b' ROM' +b' ROS' +b' ROT' +b' RPC' +b' RPG' +b' RPM' +b' RSA' +b' RSS' +b' RUN' +b' Rab' +b' Rac' +b' Rad' +b' Raf' +b' Rag' +b' Rah' +b' Raj' +b' Rak' +b' Ram' +b' Ran' +b' Rao' +b' Rap' +b' Ras' +b' Rat' +b' Rav' +b' Raw' +b' Ray' +b' Raz' +b' Reb' +b' Rec' +b' Red' +b' Ref' +b' Reg' +b' Rei' +b' Rel' +b' Rem' +b' Ren' +b' Rep' +b' Res' +b' Ret' +b' Rev' +b' Rew' +b' Rex' +b' Rey' +b' Rhe' +b' Rib' +b' Ric' +b' Rid' +b' Rif' +b' Rig' +b' Rim' +b' Rin' +b' Rio' +b' Rip' +b' Ris' +b' Rit' +b' Riv' +b' Rob' +b' Roc' +b' Rod' +b' Rog' +b' Roh' +b' Rol' +b' Rom' +b' Ron' +b' Ros' +b' Rot' +b' Rou' +b' Row' +b' Rox' +b' Roy' +b' Rub' +b' Rud' +b' Rue' +b' Rug' +b' Rum' +b' Run' +b' Rus' +b' Rut' +b' R\xc3\xa9' +b' R\xc3\xb6' +b' SAF' +b' SAL' +b' SAM' +b' SAN' +b' SAP' +b' SAR' +b' SAS' +b' SAT' +b' SCH' +b' SCI' +b' SCM' +b' SCO' +b' SDK' +b' SDL' +b' SDS' +b' SEC' +b' SEE' +b' SEL' +b' SEM' +b' SEO' +b' SER' +b' SES' +b' SET' +b' SGD' +b' SHA' +b' SHE' +b' SHO' +b' SIG' +b' SIL' +b' SIM' +b' SIP' +b' SMB' +b' SMS' +b' SNP' +b' SOC' +b' SOL' +b' SOM' +b' SOS' +b' SPD' +b' SPE' +b' SPI' +b' SPR' +b' SQL' +b' SSD' +b' SSH' +b' SSL' +b' STD' +b' STE' +b' STR' +b' SUB' +b' SUM' +b' SUN' +b' SUP' +b' SUR' +b' SUS' +b' SUV' +b' SVG' +b' SVM' +b' Sab' +b' Sac' +b' Sad' +b' Saf' +b' Sag' +b' Sah' +b' Sai' +b' Sak' +b' Sal' +b' Sam' +b' San' +b' Sap' +b' Sar' +b' Sas' +b' Sat' +b' Sau' +b' Sav' +b' Saw' +b' Sax' +b' Say' +b' Sch' +b' Sci' +b' Sco' +b' Scr' +b' Sea' +b' Sec' +b' Sed' +b' See' +b' Seg' +b' Sek' +b' Sel' +b' Sem' +b' Sen' +b' Sep' +b' Seq' +b' Ser' +b' Ses' +b' Set' +b' Sew' +b' Sex' +b' Sey' +b' Sgt' +b' Sha' +b' She' +b' Shi' +b' Sho' +b' Sic' +b' Sid' +b' Sie' +b' Sig' +b' Sik' +b' Sil' +b' Sim' +b' Sin' +b' Sir' +b' Sit' +b' Six' +b' Ske' +b' Ski' +b' Sky' +b' Sob' +b' Soc' +b' Sof' +b' Sok' +b' Sol' +b' Som' +b' Son' +b' Sor' +b' Sou' +b' Sov' +b' Sox' +b' Soy' +b' Spa' +b' Spe' +b' Spl' +b' Spo' +b' Spr' +b' Spy' +b' Sql' +b' Squ' +b' Sri' +b' Sta' +b' Ste' +b' Sto' +b' Str' +b' Sty' +b' Sub' +b' Suc' +b' Sud' +b' Sue' +b' Sug' +b' Suk' +b' Sul' +b' Sum' +b' Sun' +b' Sup' +b' Sur' +b' Sus' +b' Suz' +b' Swe' +b' Syd' +b' Syl' +b' Sym' +b' Syn' +b' Sys' +b' S\xc3\xa9' +b' S\xc3\xbc' +b' TAB' +b' TAG' +b' TAM' +b' TCP' +b' TED' +b' TEM' +b' TER' +b' THE' +b' TIM' +b' TLS' +b' TOD' +b' TOP' +b' TPP' +b' TRA' +b' TRE' +b' TRI' +b' TWO' +b' Tab' +b' Tac' +b' Tag' +b' Tah' +b' Tai' +b' Taj' +b' Tak' +b' Tal' +b' Tam' +b' Tan' +b' Tao' +b' Tap' +b' Tar' +b' Tas' +b' Tat' +b' Tau' +b' Tax' +b' Tay' +b' Tea' +b' Tec' +b' Ted' +b' Teh' +b' Tek' +b' Tel' +b' Tem' +b' Ten' +b' Ter' +b' Tes' +b' Tet' +b' Tex' +b' The' +b' Thi' +b' Thr' +b' Thu' +b' Thy' +b' Tib' +b' Tie' +b' Tig' +b' Tik' +b' Til' +b' Tim' +b' Tin' +b' Tip' +b' Tir' +b' Tit' +b' Tob' +b' Tod' +b' Tok' +b' Tol' +b' Tom' +b' Ton' +b' Too' +b' Top' +b' Tor' +b' Tos' +b' Tot' +b' Tou' +b' Tow' +b' Toy' +b' Tra' +b' Tre' +b' Tri' +b' Tro' +b' Tru' +b' Try' +b' Tub' +b' Tuc' +b' Tud' +b' Tue' +b' Tul' +b' Tum' +b' Tun' +b' Tur' +b' Tus' +b' Tut' +b' Twe' +b' Two' +b' Typ' +b' Tyr' +b' UAE' +b' UDP' +b' UFC' +b' UFO' +b' UID' +b' UIT' +b' UPS' +b' URI' +b' URL' +b' USA' +b' USB' +b' USC' +b' USD' +b' USE' +b' USS' +b' UTC' +b' UTF' +b' Uhr' +b' Ult' +b' Una' +b' Und' +b' Une' +b' Ung' +b' Uni' +b' Uns' +b' Unt' +b' Urb' +b' Uri' +b' Url' +b' Urs' +b' Use' +b' Utt' +b' VAL' +b' VAR' +b' VAT' +b' VER' +b' VID' +b' VII' +b' VIP' +b' VIS' +b' VOC' +b' VOL' +b' VPN' +b' Vac' +b' Val' +b' Van' +b' Var' +b' Vas' +b' Vec' +b' Ved' +b' Veg' +b' Veh' +b' Vel' +b' Ven' +b' Ver' +b' Ves' +b' Via' +b' Vic' +b' Vid' +b' Vie' +b' Vig' +b' Vij' +b' Vik' +b' Vil' +b' Vim' +b' Vin' +b' Vir' +b' Vis' +b' Vit' +b' Viv' +b' Voc' +b' Vog' +b' Vol' +b' Von' +b' Vor' +b' Vox' +b' Voy' +b' Vue' +b' Vul' +b' V\xc3\xa9' +b' WAR' +b' WAS' +b' WAY' +b' WEB' +b' WHO' +b' WIN' +b' WIT' +b' WOR' +b' WWE' +b' Wah' +b' Wak' +b' Wal' +b' Wan' +b' War' +b' Was' +b' Wat' +b' Way' +b' Web' +b' Wed' +b' Wei' +b' Wel' +b' Wen' +b' Wer' +b' Wes' +b' Wet' +b' Whe' +b' Who' +b' Why' +b' Wid' +b' Wie' +b' Wii' +b' Wik' +b' Wil' +b' Win' +b' Wir' +b' Wis' +b' Wit' +b' Wol' +b' Won' +b' Woo' +b' Wor' +b' Wow' +b' Wyn' +b' XII' +b' XIV' +b' XML' +b' XOR' +b' XVI' +b' XXX' +b' Xen' +b' Xia' +b' Xin' +b' Xml' +b' YES' +b' YOU' +b' Yad' +b' Yak' +b' Yam' +b' Yan' +b' Yao' +b' Yas' +b' Yes' +b' Yet' +b' Yin' +b' You' +b' Yuk' +b' Yun' +b' Yus' +b' ZIP' +b' Zag' +b' Zah' +b' Zak' +b' Zam' +b' Zap' +b' Zar' +b' Zel' +b' Zen' +b' Zhu' +b' Zig' +b' Zip' +b' Zoe' +b' Zoo' +b' Zum' +b' Zur' +b' Zwe' +b' [],' +b' [];' +b' ___' +b' ``(' +b' ```' +b' aan' +b' abb' +b' abc' +b' abi' +b' abl' +b' abs' +b' aby' +b' acc' +b' ace' +b' ach' +b' acl' +b' act' +b' add' +b' ade' +b' adj' +b' adm' +b' ado' +b' ads' +b' adv' +b' aer' +b' aes' +b' aff' +b' aft' +b' age' +b' agg' +b' ago' +b' agr' +b' aid' +b' ail' +b' aim' +b' ain' +b' air' +b' aka' +b' akt' +b' alb' +b' alc' +b' ald' +b' ale' +b' alg' +b' ali' +b' alk' +b' all' +b' als' +b' alt' +b' ama' +b' amb' +b' ami' +b' amp' +b' ana' +b' anc' +b' and' +b' ang' +b' ank' +b' ann' +b' ano' +b' ans' +b' ant' +b' anx' +b' any' +b' aos' +b' aph' +b' api' +b' apo' +b' app' +b' apr' +b' apt' +b' aqu' +b' ara' +b' arb' +b' arc' +b' ard' +b' are' +b' arg' +b' ark' +b' arm' +b' arr' +b' art' +b' asc' +b' ash' +b' asi' +b' ask' +b' asm' +b' asp' +b' ass' +b' ast' +b' ate' +b' ath' +b' atm' +b' att' +b' auc' +b' aud' +b' auf' +b' aug' +b' aur' +b' aus' +b' aut' +b' aux' +b' ave' +b' avg' +b' avo' +b' awa' +b' awe' +b' awk' +b' aws' +b' axe' +b' a\xc3\xa7' +b' a\xc3\xb1' +b' a\xc5\xbe' +b' bab' +b' bac' +b' bad' +b' bag' +b' bak' +b' bal' +b' bam' +b' ban' +b' bar' +b' bas' +b' bat' +b' bay' +b' baz' +b' bec' +b' bed' +b' bee' +b' bef' +b' beg' +b' beh' +b' bei' +b' bek' +b' bel' +b' bem' +b' ben' +b' ber' +b' bes' +b' bet' +b' bew' +b' bey' +b' bez' +b' bib' +b' bic' +b' bid' +b' bif' +b' big' +b' bij' +b' bil' +b' bin' +b' bio' +b' bip' +b' bir' +b' bis' +b' bit' +b' biz' +b' bla' +b' ble' +b' blk' +b' blo' +b' bob' +b' bod' +b' bog' 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