Version of Wordle for the NumWorks. Use directly the letters in the calculator, without pressing the alpha key. It contains a dictionary of 12971 words, out of which 2315 are candidates for a wordle. Each word has an id so that it can be used to compete with other users if they enter the same id.
from random import randint from time import sleep as slp from kandinsky import fill_rect as fr,draw_string as ds from ion import* from ion import keydown as kd wlst=['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','9y/1Lhpg1PIgHmDVIznmDPHPAjvS4g1QOPrwq9Mfa/Fg1u1uC3DT8Rb9O/0gUdLnCeB18mBIAn7SDZ4h2vAoTiWQ1eHxqE8EJvcgrgsfCk8NXgtuC9HgvzMCdZ6A0dRY+C7Vb84wrxLSCx6g0wUto/1QgH8Am7LQkE+9TwELwq8RMLHwpA1uUNMfXNXgvR4Ljgs4/QBPEhO7EPUub4HxqEDSNfLP2m+PD9UDgPEVO38iH1MH880vHqDS4fBdU49/Egm/nxoNUG1UDYWNfzrgv9UGCAQHu/EfCkBhOfcNniQzH/EvfNL64L/V4LYNHguPAwtPCvEAf38NILnwB9vUPQzi0NXhCvEqHwYNddGxHzzS+l1uC/0ATgtw1uV/PT0/IvGo9H8e0X9Y83ntGPXtPhuO0/DVLSb1Lw0kvNLxHTJR9vAfC/Po1/cNHwLqBduaj0zS+uCx4H0yUI8BW38DC9AnT2Kx4H/TDV4w0eED1Ev30vtg8i59cfAQf1c+0XflB/MgHwpvDSBaOH4r2PEeb0NJHYvX4XXT2fAebwVtm9LxLxUNpY03AWAzeegnBf8S7NJuW9Tw1AEGH87LHtDwrxq/HxpAdQOB5qQNbtbwMLWtPyIdPgvS4naz4H/aOdXh8KQFFvLU47HqDT4fvVBuC/0eLtINQ49CauUB5A0/EfPwtX1QcD8dMNEfh3LQ4aOk9c0voNUG4QMEAOG30vDwENUD7Rj38s0h5APgkLfwEL/Y5S2L2eENnjtvMv7UDNX68B8LHkDW1tMNIFjR4fCOr9X04fcPAdJ/fwEHmtfoCw2R8fYvDV9H/UDNIfCv0PCOr3Rw4PdwsF89HtD7jzr9NdXwvQAOD3fwENn9gT9yf9QM7V8NMNUfivPxr9XR/QQXDX8I8Ln21ArwELHypPB71tb1rRGO1X9PDU8H8NL70BP/YvLUDVBPCvBwf3DU8C8M1Q1L8+YM8M8CFdIdUK8R6g0x0lYR8NAHCdbW1uMNPzKBvTtRYZ4Q0uEjBfBgjtPVcdXh8K0gMG9S5AoBBdtgMHCQ0eINTwEwj2waAfGkC/0+PwUdUI4bkP2eIT/C5b1OC/qxrWvTvSDV4LYNHguO0wTqAOF/fw0vC/2eH7/Q0LT3Lx1WDb+uEB8qFkDTNc1Q0QjiHzh/AL2Q8lHV4LPtH4C/mH8iDNLx5g0rfwELn00+HS/VBuH3jq8E8K04Dhtw2FrX9CcfKm9AdRYIFAAdvwHxqE8GJ7v0Lkka1g0wYjAL2TBPIv0lzxH9LVegENMF8K9o/V8B8L0Rjyrx1QcPDS8Pdw2PEh9T/X8G+PDbuw2eIR9y8K/V/RrhAfGv0UBeoNEY4HThDYHXCwX7JP1B/NX6Hx8Nb0DTDV5QZtEI8h/T/V8L8wDwHV8H8NIH2RP5KvztLVoNPtIFb9Uf0eE47KPyr9X20fAOG30v1+jwn009Jeh2HRGO038PDS/Vd+Hwn/IucNkdTwLmDU8CG5DO0p1fAwmvIgq/0x9QMNbw1vMhUwswe9PtO/Yf0uYEBfDVBur38H1RBvLUDT4fvV4L9vAgvwHR8NQ9YNDw0guPcgzwHS868x0geb0+C1La4b1eMI4L9+C7I7DQ0LT8LoDUCgF9ZdPtIFjV8CEG4L+OB/M9ANwk8DCw8CF/Dz1LHq8NK/1eCwl/BQt/TNLx4wYT0n8B8Ll7bbPR+xT9nZvXLoLZW/Sh6g1R6gYtf04QYABXENcr','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','/xLR1OUNRF1c8xQNLh6gNF8BRr+NP9XhRhOAfwJlyQrzKHHwLm8BCHU+0ff2HwpPA24gtubw1nJNPwLQPTGm4z+Q0kLR1eLoBwOAbwHi7GntEF4vDPpp0W4UfS0fMvHT4fPRBFnR1PAkGpH16vATCOE9Hh1159vQ8h6m9Qa/N0MNLluP8S8IH9B00dTj2/sc8RZhPTnwTwevIe19v14hPm10WRHtB/TtF/1vEU9dswQtPwKGE39TjV4epGFuK/F/jh6k9XNNTQl/SYDhfQN/AeZPXmBOI/nwYk4YB9gk11c/Cl8MqIXPcg0NA4TxLqFx9eoI09UaPtU48BC/Dz1CDSEGHwoH+CEOFZH3YX8M0r8dENIU2OUeoDS/2/FSCCs0J2HZ4k6g2Sc=','9C/yLQDUN84m1eC6HqDW4g1i0/IgFNPgtUQlYNUfBAtuLQPQ0fHU8RMJENGziPAQjgt70OKB8KQE8tUGDQBylg4b0OEHMJ8NUIf9ANjiAW1+KBrbUdnZvx/C6AcNQWpQHxbgvQBA2R1uENYNLiqQbi1G8DC/0e1B0biLOATwWtXgv0sPABcJB/AQOHv5gdfh6m9R0iYl+CMNTtTiAfCkDW1uC/0+07N9IqbmBw0e0b0Ljw0z1QjwFQTwoNMkENENgfGkC4KCP91B6gztXwMLMKFhsNKAXo4H8H/V4fGk8LNm8B6gbgv34L0T6AjwENMHs9UE4tGdF/Age5ifMm0w1QYUAH/X8CQabguxqfzU4gEMMK8CDT4fsw0+Jp0Vzh+/2pDV4eoJBh0NHwJNTj+9Dgv48MPV4Lfi8/0OEDhPAuZx5gNPBwfhB72OEFE=','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','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','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','9i/zLtEIDU8hBQ1QYj1M7S4TQa4gVPHY4V1tYNPwINOzTSJl8yrWDVBgTinYH9Xh6k1ibwIBpi0fAfCkDRKQjzIM4bqY4r8wktDxIB6gM9DwIbT0IM4woBBewNXgtBDwJv0le/fyJvzSEFB7ns0ofY8C5vQfBvDX2L1y1NnhBeQKnaIf8S8tYWDQBAftINQe1WzVCqsfOuC/bqHR7UDQAB2R0+Q5BfHWDT0vB9gW5Qa9HwIIDQeBA4DQ4UV08yauC/1eIDZ+DZ2OH7BwfwED0H4LntUNHhDY4fBk8JDX89QB8KZPUWvwtw2+cJDT8C8FOCdT0S1xFf8M8ioU/S4ffVA2rxJh6gNJAfDB/WDYHW8BDW4Le9PhTS4H/SVtUvDU0pZg0e1OUNAI8h5A2i+L84fS/Q4g0L3C1EbgsPAVAZB/IeQFo4TwE7e9gm2+HwpAUdktHVMFP/MtINTtS24fv81QrxJqsQkBYNPTDSPXXxbguHQA4fv28BBgMNHxLq8B6AXD5Qj0IMEeB9MFCLtj89QFfV4LgNAAH9AmTxXiDVDR4gfS8B8aQL9/EmzS8fCkCdGfBvChCOC9ANjwLhAW+dHX8SsaYH4L2+JhC+KR6gn41O1LUs0iryqx5A0x9R2dLW1g0yHVHqBm4g0fDUAY0biLTxrgtgQAH34OO3v78i7W1mJY02OP0dDS8AI=','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','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','DxLypQWg2i3IJ9BdVdRiPtDSBNEp9C+c1foNbW0wXwb0DV4ftuHR+HTwHV9/Dw0vXwfhC+oNRXH2KB6PT2b9EYJOi/B/kfvoBfjO0tX6AX/W1m5vf9EI8iEwfQ8DCU8B1fcHfh8D9CqgXw1odmjV0AfwLx/S9A0rcQ==','D0L/TU8CfUX18MrwzxHwpPDSHVA4rxJP0xXwXz/bONbtYHDT8yChHxoUDT8CC1CQ0uGpVfUgoNUG4QjwEL9KAffiDa4u0vAQ1fAfGhQF4gkG8BBr/Q0v0fMmHwGPdfAYDRvQCQj1IM4dL64L8R0/Ih9QteoNXhBw0PEfCkDSFa/QFOHxoU8NUA8R8KQNDgvwFyf1LwaAzSHxpkDS8CEFPz4we/kJ6A0D2OHzpo9AtY1/EUWGuA2x6gvyLtIBphgTj9nh8aFAPjTx/2L5ztL3+vCgv1DVBvDR8w0fAQuA0ATtHwB34h2B1PMk/UEexvXqc9CfAPf7z0Lm0PzwE7V9UDh/AlOeT3+vYorgseoF8CrQaz8IDbS57U27EfXNKvAQv9bgvV4LYIAH2B1vIfCmT9Y18Af9trS9P1Lm9BDTNR0SgjCU0uLU8dFfTW4L04/V5QjtUEoH2B2uXTONUfCgtvEu2/vxdfDPF2PR8C6NAfCH215/249S5vugHtf70yXtOIEwfhA+Vk09D0K/HtNvWG4r8+B9AENPAoXTmPDzLwfXsfEQf9dfCo9z6td/AwuQfzLtPbzS8dFeIT204/v5Af2PAeb3UZH9fyLo2x6nWDh9LbENkQ0vIfAg0RnRXwENEY4T8/Cr0dSBnR1L8NEfgXJf4vGgYIdy1PAg1LEM8R8aQL0nWNUK8B5PDT4ftcHwYNENgdbxFNYGH38BC9Px0w0n9a8+ZPbh8KC24Q0fAhHwpAkI8q4LENMNUAHz7aJw0OHxqPTw0ADyHwj08NJdXgv9AJB/AQcNm9ji5vAfOmhPB/sm2SA/9S9M0voNEIBOCwf3HU8R6gWPYTf81eC/ofCj8NPhT54fvSEF8aBuC4AH2uLVUNUfCkBvEtMQ1gYNHwLmgT0AjyrhMeMFiBfhA/Wg1uC9XgvR4L+A0OCw8CF/fgvQHxpAvckU8SYQXwyhfgsPEfCgfSVeh35Qf0LwaAzSHqBQYD8ITwcZ9R6A0+H9L24Q0Qiv0OCw4fd/Af0g2B8ahPDX9Cir8fGmhPUdEYp+0gvwJvgQfZ4XV5/SgtTzJdSx5gWG4VkM7SHVCvEgrgvx5PBeEB6iQNbW4Q0/AuFtS/07WO0w1dIGHwpPDR9CbU4vMegGvRs0/Q8DC49M0qAeoNMFyLfgvQ4R9STwJv0AkA9CAQ0r1Q0SAX4L9/DSBYe79CYNQn1R6g0dEYoDcNAU','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','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','D5rwJgoU84DT4mXTGtLmKJSdUgFvcu0SgMFPHRLRWILxoUDQKHQv2CC1HZUdHzLRXU8R5kYTBOLxUvDNXc0eLtIBrQ8RrSBRe0LtII/xLxUNB07RuQ1PEvDThBpaPbzzLQEFJh8+C54H+vItEeFPWvMJ4f0xfS1uGvXn/b0/EtMXPqedHS4nXQXxwta/OPfwHwv9otHV4ep1pvAu17Hqdep/0fAoHn/XXb0PArHtOFhOGl8K09APAu17HxF/19s6fi218B9vjX8B6vdXONldD9D21OPXsa4wSxitoXbwKxpX0B6k9OKJgB8Bf7fwLVFFFPkvMVZTBOFQFx1PAo8dtSoRHxLmCjXI4n0x8KQF8CaB9x0SiOJhrQGg8CFaOJ1J2CAPQtMfFA0hT1jT+BLckZ4m9PAdD7fwFFVh9xT9jhLmCWI=','9S/MkqHqDT4mnh8F5gTwEL1eIFZvMeB/Xq8DTwGR/YH9HQ4Ljxoh6g0wcNDwHwpAWvNPT0LoCrHsBeLbgpDYEPAmEH4LflyQnxzSZ/h/fhDXcdsQH5JvAQsfCC0ATgvT8S6PAQUTDS0RXm4LjgtvIkrgcQYJ0Y9S4Wrgkb0xWD0fcJ4fBPPUDTH04rDwHz934J2B8O0CfiB80tvh8KQFbZVF/wLmCK1B8A27zwJPHqDSuhPx5A1+C9bqLWDT8CBeJvNPbwoRRvAvUNEYj0LmDCHxpA11wwcLbzbwL6DQFPT0JvHwow0+IVpgeZDw8yAeoF4X+BPoT34vN/EvAW8B20Ny2PEuB6IeQFr9sY/Z5UNG8BUFED0wP6JAzi7UbxCvGr1S85mB0S0+UZH18cH6BuLx0AbyLhQfCgfVB/EhUNjiHR4UV/cfCk8J8M0v0xadcfCm9NsW2dKk8CXFYD8D0Z4NfXCfDT7T4L0uC28NM4DYJ3u1jT8=','D1L/MsDNXxEwv68q4LHwpA0xUHDW8BT9YHDT8R8KTw0yOPudIzX1odbgdggEAH9+ENgf1fAgHxqEDWBvOuMB8KQF4Q1QbwILfr2f0eHqCQj1oB8KC9MNXgtuG4J+C9kdzWBPfU4LoB8KDZ1Q0QgNAEEHfgvw8hDSvRDQ4Lfh8H8S0M0vFPcJ8tbW09LVBu1QQNgfGk8L1/AgEGDbHxqPQLGtnlQzH8LybqDR1IBOC/2B/U7UsUzSeuFtPh+x9a4L/V4QYNEI4L0OCwd+ENZ+EF86DT0vYE6vAB2R1SBvPNL6DV8BB24LDS9w0dQI8s0voNMYtwTjANIHB+IGvbHqDS8y9c1fYf0eMI09AE4db34gntBB9i8GR/Hwb40NZ28NXR0PgEH3DXCwX6zS+g1u1vfTBuH9XRCPAfC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def fb64(eb): base64='ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=';dl,ai=len(eb)*3//4-eb.count('='),0 for i in range(0,len(eb),4): bi=base64.index(eb[i])<<18|(base64.index(eb[i+1])&63)<<12|(base64.index(eb[i+2])&63)<<6|base64.index(eb[i+3])&63 for byte in(bi>>16,bi>>8&255,bi&255): if ai<dl:yield int(byte);ai+=1 class Storage: letters='seaoriltnudycpmhgbkfwvzjxq';num_w=141,314,512,623,695,831,946,1015,1049,1069,1089,1177,1284,1321,1362,1504,1527,1632,1998,2147,2180,2223,2306,2312,2315 def _init(self,wl): self.lind=None;self.seq=None;self.last_char=0;self.wl=wl if self._letter_get(0)==0:self.padding=1 else:self.padding=0 self.lind=None;self.word='';self.s_word=None;self.word_num=None def _get_pos(self,i): if self.lind is not None and i==self.lind-1:return self.last_char if self.lind is None or i<self.lind:self.seq=fb64(self.wl);self.lind=0 while self.lind<i:next(self.seq);self.lind+=1 self.last_char=next(self.seq);self.lind+=1;return self.last_char def _letter_get(self,i): try:pos=self._get_pos(i>>1)>>(i&1^1)*4&15 except StopIteration:pos=0 return pos def _parse_sibl(self,c_ind,d,num=0,word=''): if d>3: if self._letter_get(c_ind)==15:c_ind+=1;num=num+1;self.word=word if word==self.s_word:self.word=word return[],c_ind,num sibl=[];n_sibl=self._letter_get(c_ind) if n_sibl==14:c_ind+=1;n_sibl=2 elif n_sibl==15: c_ind+=1;n_sibl=self._letter_get(c_ind)+3 if n_sibl==18:c_ind+=1;n_sibl+=self._letter_get(c_ind) c_ind+=1 else:n_sibl=1 for _ in range(n_sibl): node=self._letter_get(c_ind) if node==13:c_ind+=1;node=node+self._letter_get(c_ind) c_ind+=1;sibl.append((node,c_ind));c_word=word+Storage.letters[node];_,c_ind,num=self._parse_sibl(c_ind,d+1,num,c_word) if num==self.word_num or self.word==self.s_word:break return sibl,c_ind,num def get_word_num(self,num): for(i,max_n)in enumerate(Storage.num_w): if num<=max_n:self._init(wlst[i]);num=num-Storage.num_w[i-1]if i>0 else num;break self.word_num=num;self.s_word=None;self._parse_sibl(self.padding,0);self.word_num=None;return chr(ord('a')+i)+self.word def is_word(self,word):i=ord(word[0])-ord('a');self._init(wlst[i]);self.word_num=None;self.word=None;self.s_word=word[1:];self._parse_sibl(self.padding,0);return self.word==self.s_word def rgb(c):return(c>>11&31)*255//31,(c>>5&63)*255//63,(c&31)*255//31 def dr_fr(x,y,c,i,o=0):fr(x*37+11-i-o,y*37+2-i,32+i*2,1,rgb(c));fr(x*37+42+i-o,y*37+2-i,1,32+i*2,rgb(c));fr(x*37+11-i-o,y*37+33+i,32+i*2,1,rgb(c));fr(x*37+11-i-o,y*37+2-i,1,32+i*2,rgb(c)) _BLACK=const(0) _WHITE=const(65535) _LGRAY=const(52890) _DGRAY=const(29647) _GREEN=const(25932) _YELLOW=const(64901) _TOTAL_WORDS=2315 def draw_board(): for x in range(5): for y in range(6):dr_fr(x,y,_LGRAY,0) stor=Storage() def trn_tile(x,y,c,l): for i in range(16):fr(x*37+11,y*37+2+i,32,1,rgb(_DGRAY));fr(x*37+11,y*37+33-i,32,1,rgb(_DGRAY));slp(.01);fr(x*37+11,y*37+2+i,32,1,rgb(_WHITE));fr(x*37+11,y*37+33-i,32,1,rgb(_WHITE)) for i in range(16): fr(x*37+11,y*37+18-i,32,1,rgb(c));fr(x*37+11,y*37+18+i,32,1,rgb(c)) if i==7:ds(l,x*37+22,y*37+9,rgb(65535),rgb(c)) slp(.01) def highl(x,y): for i in range(1,4):dr_fr(x,y,_WHITE,i-1);dr_fr(x,y,_DGRAY,i);slp(.03) for i in range(3,-1,-1):dr_fr(x,y,_WHITE,i+1);dr_fr(x,y,_DGRAY,i);slp(.03) def vibr(y,curr_wrd): for x in range(5):dr_fr(x,y,_WHITE,0) slp(.01) for j in range(6): for o in((0,3,1),(3,-3,-1),(-2,0,1)): for i in range(o[0],o[1],o[2]): for x in range(5):dr_fr(x,y,_DGRAY,0,i);ds(curr_wrd[x],x*37+22-i,y*37+9) slp(.01) for x in range(5):dr_fr(x,y,_WHITE,0,i) for x in range(5):dr_fr(x,y,_DGRAY,0) slp(.01) def dr_letter(l,c):i=ord(l)-ord('A');x=i%6 if i<24 else i%6+2;y=i//6;fr(x*20+199,y*24+103,16,20,rgb(c));fc=_BLACK if c==_LGRAY else _WHITE;ds(l,x*20+202,y*24+104,rgb(fc),rgb(c)) msgs=' Genius!','Magnificent!','Impressive!',' Splendid!',' Great!',' Phew!' def main(): w_num=randint(1,2315);w_id=(w_num>>6|w_num<<6&4032)^2730;print('Selected NW-Wordle id: #'+str(w_id));slp(.1);w_id2='';msg='' while w_id2=='': w_id2=input(msg+'Press OK or enter\nanother id to start\n') if w_id2==''or w_id2.isdigit()and int(w_id2)<4096:w_id=int(w_id2)if w_id2!=''else w_id;break else:msg='Invalid id\n';w_id2='' w_num=w_id^2730;w_num=((w_num>>6|w_num<<6&4032)-1)%_TOTAL_WORDS+1;word=stor.get_word_num(w_num);draw_board();ds('#'+str(w_id),230,9) for i in range(26):dr_letter(chr(ord('A')+i),_LGRAY) keys='\x11\x12\x13\x14\x15\x16\x17\x18\x19\x1a\x1b\x1c\x1d\x1e\x1f !"#$%&\'()*+,-4\x04';key_pressing='\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00';curr_x=0;curr_wrd='';curr_y=0;end_game=False while True: for(ik,k)in enumerate(keys): k=ord(k) if kd(k)and not end_game: if not ord(key_pressing[ik]): key_pressing=key_pressing[:ik]+'\x01'+key_pressing[ik+1:] if k==KEY_BACKSPACE: if curr_x>0:curr_x=curr_x-1;curr_wrd=curr_wrd[:-1];dr_fr(curr_x,curr_y,_LGRAY,0);ds(' ',curr_x*37+22,curr_y*37+9) elif k==KEY_EXE or k==KEY_OK: matches='' if curr_x==5: if stor.is_word(curr_wrd.lower()): for(i,(l,wl))in enumerate(zip(curr_wrd.lower(),word)): if l==wl:matches+=l;c=_GREEN elif l in word and curr_wrd.lower()[i+1:].count(l)<word.count(l)-matches.count(l):c=_YELLOW else:c=_DGRAY trn_tile(i,curr_y,c,curr_wrd[i]);dr_letter(l.upper(),c) if curr_wrd.lower()==word:ds(msgs[curr_y],200,50);end_game=True curr_y+=1;curr_x=0;curr_wrd='' if curr_y==6 and not end_game:ds(word.upper(),220,50);end_game=True else:ds('Not in word',200,50);ds(' list ',200,70);vibr(curr_y,curr_wrd);ds(' ',200,50);ds(' ',200,70) elif curr_x<5:k=chr(k+47)if k<35 else chr(k+46)if k<42 else chr(k+45);curr_wrd+=k;ds(k,curr_x*37+22,curr_y*37+9);highl(curr_x,curr_y);curr_x+=1 else:key_pressing=key_pressing[:ik]+'\x00'+key_pressing[ik+1:] slp(.05) main()