├── .gitignore ├── LICENSE ├── README.md ├── benchmark_results.txt ├── english_words_10k_mit.txt ├── english_words_alpha_dwyl.txt ├── english_words_full.txt ├── english_words_opener.txt ├── english_words_original_wordle.txt ├── english_words_simple.txt ├── generate_opener_list.ipynb ├── requirements.txt ├── utility.py ├── wordle_game.py ├── wordle_response_example.png ├── wordle_solver.py ├── wordle_solver_benchmark.py ├── wordle_solver_webui_screenshot.png └── wordle_solver_wsgi.py /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2022 Jason Chao 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Wordle-Solver 2 | Wordle-Solver helps people who struggle with vocabulary enjoy the famous game of [WORDLE](https://www.powerlanguage.co.uk/wordle/). So that those who find WORDLE extremely hard, just like the developer of Wordle-Solver, will not be embarrassed for not knowing the hidden word of the day or being unable to show their tries. 3 | 4 | Wordle-Solver is positioned as a solver for the WORDLE game in general. Wordle-Solver supports a variable word length and works with other implementations of WORDLE. Therefore, it relies on a broader word list and does not target that of the original implementation of WORDLE. 5 | 6 | ## Web-based version 7 | 8 | A web-based interface for Wordle-Solver is now available at [https://solvewordle.games/](https://solvewordle.games/). There is no need to run the Python code in this repo to try out Wordle-Solver. 9 | 10 | ![Screenshot of Wordle-Solver web-based UI](wordle_solver_webui_screenshot.png) 11 | 12 | ## How does Wordle-Solver work? 13 | 14 | Based on probability, Wordle-Solver helps WORDLE players find the best words for the next try. Wordle-Solver uses every bit of information gained from WORDLE’s responses to build the search criteria. The responses from the tries will help Wordle-Solver narrow down to a single, if not a few, possible English word(s). 15 | 16 | Usually, in the first two or three tries, the list of possible words may still be quite long. Wordle-Solver works out the probabilities of letters with unknown inclusion/exclusion status and suggests words with letters of higher frequencies. It does not matter whether or not these high-frequency letters end up in the hidden word. WORDLE’s responses to these high-frequency letters will help Wordle-Solver shrink the search space efficiently. 17 | 18 | The developer of Wordle-Solver experimented with a number of other approaches. He found that the approach now implemented in the Wordle-Solver would produce the best results given the limited he has on this mini-project. 19 | 20 | ## How does Wordle-Solver perform? 21 | 22 | Although Wordle-Solver does not specifically target the original WORDLE, it is common to benchmark the performance based on the original WORDLE's word list. Wordle-Solver takes an average of 4.6 tries to pinpoint a hidden word chosen from the original WORDLE's word list (with plurals excluded). The game is solved within the limit of 6 tries 90.6% of the time. 23 | 24 | For multi-word length challenge, Wordle-Solver takes an average of [3.55 tries](https://botfights.ai/fight/xm7fenzq) to win when the number of tries is not capped. 25 | 26 | ## Usage of the command-line version 27 | 28 | For general users, the use of [the web-based interface](https://solvewordle.games/) is highly recommended. 29 | 30 | Follow the steps below if you wish to explore Wordle-Solver at a technical level. 31 | 32 | Download Wordle-Solver by cloning this repo. 33 | ``` 34 | git clone https://github.com/jason-chao/wordle-solver.git 35 | ``` 36 | 37 | ### Run the Wordle-Solver 38 | ``` 39 | cd wordle-solver 40 | python3 wordle_solver.py 41 | ``` 42 | 43 | ### Open WORDLE 44 | Enter a word into WORDLE. 45 | ![Sample WORDLE response to OPERA](wordle_response_example.png) 46 | 47 | ### Enter WORDLE’s response into Wordle-Solver 48 | When WORDLE tells you the result of the first try, enter the word and WORDLE’s response using the symbols indicated below into Wordle-Solver. For the time being, Wordle-Solver is only available as a command-line (CLI) application. Since command-line applications cannot easily handle colours, players need to map the colours of WORDLE’s letter tiles to the following symbols. 49 | 50 | * Use _ for ⬜ indicating a letter not in the hidden word in any spot 51 | * Use ? for 🟨 indicating a letter in the hidden word but in the wrong spot 52 | * Use + for 🟩 indicating a letter in the hidden word and in the correct spot 53 | 54 | You should enter the result into Wordle-Solver in the format of word:symbols (the word, a colon `:` and the symbols). For example, for the screenshot above as an example, the input into Wordle-Solver should look like `opera:_?+?_`. 55 | 56 | ``` 57 | Please enter you last try as word:symbols 58 | opera:_?+?_ 59 | Suggested words (from simple word list): 60 | press 61 | ``` 62 | 63 | Pick a suggested word shown by Wordle-Solver. Enter it into WORDLE. Repeat this step until Wordle-Solver finds the hidden word for you. 64 | 65 | ## Tips 66 | The WORDLE game only accepts on its own word list on every try. There is a possibility that WORDLE rejects all the words suggested by Wordle-Solver. In this case, enter the command `!extended` into Wordle-Solver to manually switch to the extended word list. Then, Wordle-Solver will begin to suggest words from the extended word list. 67 | 68 | Wordle-Solver uses two lists of English words. One is called “simple” and the other one is called “extended”. The “extended” list has about 11 times more words than the simple list. As one can imagine, the extended list contains many rarely used English words. By default, Wordle-Solver searches for words on the “simple” list only. When no suggestions could be made from the “simple” list, Wordle-Solver will switch to the “extended” list to broaden the search. Except in the case mentioned case, the switch is usually automatic. 69 | 70 | ## Credits 71 | The “simple” word list is derived from [MIT’s 10000-word list](https://www.mit.edu/~ecprice/wordlist.10000). The “extended” and "full" word lists are derived from the [alpha variant](https://github.com/dwyl/english-words/blob/master/words_alpha.txt) of [dwyl’s “List of English Words”](https://github.com/dwyl/english-words). 72 | -------------------------------------------------------------------------------- /benchmark_results.txt: -------------------------------------------------------------------------------- 1 | Benchmarking using all words of 5 letters (no plurals) from english_words_original_wordle.txt completed in 195.3777048587799s 2 | Solver word lists: english_words_opener.txt -> english_words_full.txt 3 | 9049 words - average: 4.608133495413858 tries 4 | Guessing failed within 6 tries: 847 words 5 | 6 | --- 7 | 8 | Benchmarking using all words of 5 letters (no plurals) from english_words_full.txt completed in 314.0159592628479s 9 | Solver word lists: english_words_opener.txt -> english_words_full.txt 10 | 14463 words - average: 4.570974210053239 tries 11 | Guessing failed within 6 tries: 1097 words -------------------------------------------------------------------------------- /english_words_simple.txt: -------------------------------------------------------------------------------- 1 | a 2 | aa 3 | aaa 4 | ab 5 | abandoned 6 | abc 7 | aberdeen 8 | abilities 9 | ability 10 | able 11 | aboriginal 12 | abortion 13 | about 14 | above 15 | abraham 16 | abroad 17 | abs 18 | absence 19 | absent 20 | absolute 21 | absolutely 22 | absorption 23 | abstract 24 | abstracts 25 | abu 26 | abuse 27 | ac 28 | academic 29 | academics 30 | academy 31 | acc 32 | accent 33 | accept 34 | acceptable 35 | acceptance 36 | accepted 37 | accepting 38 | accepts 39 | access 40 | accessed 41 | accessibility 42 | accessible 43 | accessing 44 | accessories 45 | accessory 46 | accident 47 | accidents 48 | accommodate 49 | accommodation 50 | accommodations 51 | accompanied 52 | accompanying 53 | accomplish 54 | accomplished 55 | accordance 56 | according 57 | accordingly 58 | account 59 | accountability 60 | accounting 61 | accounts 62 | accreditation 63 | accredited 64 | accuracy 65 | accurate 66 | accurately 67 | accused 68 | acdbentity 69 | ace 70 | acer 71 | achieve 72 | achieved 73 | achievement 74 | achievements 75 | achieving 76 | acid 77 | acids 78 | acknowledge 79 | acknowledged 80 | acm 81 | acne 82 | acoustic 83 | acquire 84 | acquired 85 | acquisition 86 | acquisitions 87 | acre 88 | acres 89 | acrobat 90 | across 91 | acrylic 92 | act 93 | acting 94 | action 95 | actions 96 | activated 97 | activation 98 | active 99 | actively 100 | activists 101 | activities 102 | activity 103 | actor 104 | actors 105 | actress 106 | acts 107 | actual 108 | actually 109 | acute 110 | ad 111 | ada 112 | adam 113 | adaptation 114 | adapted 115 | adapter 116 | adapters 117 | adaptive 118 | adaptor 119 | add 120 | added 121 | addiction 122 | adding 123 | addition 124 | additional 125 | additionally 126 | additions 127 | address 128 | addressed 129 | addresses 130 | addressing 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1288 | campaign 1289 | campaigns 1290 | campbell 1291 | camping 1292 | camps 1293 | campus 1294 | cams 1295 | can 1296 | canada 1297 | canadian 1298 | canal 1299 | canberra 1300 | cancel 1301 | cancellation 1302 | cancelled 1303 | cancer 1304 | candidate 1305 | candidates 1306 | candle 1307 | candles 1308 | candy 1309 | cannon 1310 | canon 1311 | cant 1312 | canvas 1313 | canyon 1314 | cap 1315 | capabilities 1316 | capability 1317 | capable 1318 | capacity 1319 | cape 1320 | capital 1321 | capitol 1322 | caps 1323 | captain 1324 | capture 1325 | captured 1326 | car 1327 | carb 1328 | carbon 1329 | card 1330 | cardiac 1331 | cardiff 1332 | cardiovascular 1333 | cards 1334 | care 1335 | career 1336 | careers 1337 | careful 1338 | carefully 1339 | cargo 1340 | caribbean 1341 | caring 1342 | carl 1343 | carlos 1344 | carmen 1345 | carnival 1346 | carol 1347 | carolina 1348 | caroline 1349 | carpet 1350 | carried 1351 | carrier 1352 | carriers 1353 | carries 1354 | carroll 1355 | carry 1356 | carrying 1357 | cars 1358 | cart 1359 | carter 1360 | cartoon 1361 | cartoons 1362 | cartridge 1363 | cartridges 1364 | cas 1365 | casa 1366 | case 1367 | cases 1368 | cash 1369 | cashiers 1370 | casino 1371 | casinos 1372 | cassette 1373 | cast 1374 | casting 1375 | castle 1376 | casual 1377 | cat 1378 | catalog 1379 | catalogs 1380 | catalogue 1381 | catalyst 1382 | catch 1383 | categories 1384 | category 1385 | catering 1386 | cathedral 1387 | catherine 1388 | catholic 1389 | cats 1390 | cattle 1391 | caught 1392 | cause 1393 | caused 1394 | causes 1395 | causing 1396 | caution 1397 | cave 1398 | cayman 1399 | cb 1400 | cbs 1401 | cc 1402 | ccd 1403 | cd 1404 | cdna 1405 | cds 1406 | cdt 1407 | ce 1408 | cedar 1409 | ceiling 1410 | celebrate 1411 | celebration 1412 | celebrities 1413 | celebrity 1414 | celebs 1415 | cell 1416 | cells 1417 | cellular 1418 | celtic 1419 | cement 1420 | cemetery 1421 | census 1422 | cent 1423 | center 1424 | centered 1425 | centers 1426 | central 1427 | centre 1428 | centres 1429 | cents 1430 | centuries 1431 | century 1432 | ceo 1433 | ceramic 1434 | ceremony 1435 | certain 1436 | certainly 1437 | certificate 1438 | certificates 1439 | certification 1440 | certified 1441 | cest 1442 | cet 1443 | cf 1444 | cfr 1445 | cg 1446 | cgi 1447 | ch 1448 | chad 1449 | chain 1450 | chains 1451 | chair 1452 | chairman 1453 | chairs 1454 | challenge 1455 | challenged 1456 | challenges 1457 | challenging 1458 | chamber 1459 | chambers 1460 | champagne 1461 | champion 1462 | champions 1463 | championship 1464 | championships 1465 | chan 1466 | chance 1467 | chancellor 1468 | chances 1469 | change 1470 | changed 1471 | changelog 1472 | changes 1473 | changing 1474 | channel 1475 | channels 1476 | chaos 1477 | chapel 1478 | chapter 1479 | chapters 1480 | char 1481 | character 1482 | characteristic 1483 | characteristics 1484 | characterization 1485 | characterized 1486 | characters 1487 | charge 1488 | charged 1489 | charger 1490 | chargers 1491 | charges 1492 | charging 1493 | charitable 1494 | charity 1495 | charles 1496 | charleston 1497 | charlie 1498 | charlotte 1499 | charm 1500 | charming 1501 | charms 1502 | chart 1503 | charter 1504 | charts 1505 | chase 1506 | chassis 1507 | chat 1508 | cheap 1509 | cheaper 1510 | cheapest 1511 | cheat 1512 | cheats 1513 | check 1514 | checked 1515 | checking 1516 | checklist 1517 | checkout 1518 | checks 1519 | cheers 1520 | cheese 1521 | chef 1522 | chelsea 1523 | chem 1524 | chemical 1525 | chemicals 1526 | chemistry 1527 | chen 1528 | cheque 1529 | cherry 1530 | chess 1531 | chest 1532 | chester 1533 | chevrolet 1534 | chevy 1535 | chi 1536 | chicago 1537 | chick 1538 | chicken 1539 | chicks 1540 | chief 1541 | child 1542 | childhood 1543 | children 1544 | childrens 1545 | chile 1546 | china 1547 | chinese 1548 | chip 1549 | chips 1550 | cho 1551 | chocolate 1552 | choice 1553 | choices 1554 | choir 1555 | cholesterol 1556 | choose 1557 | choosing 1558 | chorus 1559 | chose 1560 | chosen 1561 | christ 1562 | christian 1563 | christianity 1564 | christians 1565 | christina 1566 | christine 1567 | christmas 1568 | christopher 1569 | chrome 1570 | chronic 1571 | chronicle 1572 | chronicles 1573 | chrysler 1574 | chubby 1575 | chuck 1576 | church 1577 | churches 1578 | ci 1579 | cia 1580 | cialis 1581 | ciao 1582 | cigarette 1583 | cigarettes 1584 | cincinnati 1585 | cinema 1586 | cingular 1587 | cio 1588 | cir 1589 | circle 1590 | circles 1591 | circuit 1592 | circuits 1593 | circular 1594 | circulation 1595 | circumstances 1596 | circus 1597 | cisco 1598 | citation 1599 | citations 1600 | cite 1601 | cited 1602 | cities 1603 | citizen 1604 | citizens 1605 | citizenship 1606 | city 1607 | citysearch 1608 | civic 1609 | civil 1610 | civilian 1611 | civilization 1612 | cj 1613 | cl 1614 | claim 1615 | claimed 1616 | claims 1617 | claire 1618 | clan 1619 | clarity 1620 | clarke 1621 | class 1622 | classes 1623 | classic 1624 | classical 1625 | classics 1626 | classification 1627 | classified 1628 | classifieds 1629 | classroom 1630 | clause 1631 | clay 1632 | clean 1633 | cleaner 1634 | cleaners 1635 | cleaning 1636 | cleanup 1637 | clear 1638 | clearance 1639 | cleared 1640 | clearing 1641 | clearly 1642 | clerk 1643 | cleveland 1644 | click 1645 | clicking 1646 | clicks 1647 | client 1648 | clients 1649 | cliff 1650 | climate 1651 | climb 1652 | climbing 1653 | clinic 1654 | clinical 1655 | clinics 1656 | clinton 1657 | clip 1658 | clips 1659 | clock 1660 | clocks 1661 | clone 1662 | close 1663 | closed 1664 | closely 1665 | closer 1666 | closes 1667 | closest 1668 | closing 1669 | closure 1670 | cloth 1671 | clothes 1672 | clothing 1673 | cloud 1674 | clouds 1675 | cloudy 1676 | club 1677 | clubs 1678 | cluster 1679 | clusters 1680 | cm 1681 | cms 1682 | cn 1683 | cnet 1684 | cnetcom 1685 | cnn 1686 | co 1687 | coach 1688 | coaches 1689 | coaching 1690 | coal 1691 | coalition 1692 | coast 1693 | coastal 1694 | coat 1695 | coated 1696 | coating 1697 | cock 1698 | cocks 1699 | cod 1700 | code 1701 | codes 1702 | coding 1703 | coffee 1704 | cognitive 1705 | cohen 1706 | coin 1707 | coins 1708 | col 1709 | cold 1710 | cole 1711 | coleman 1712 | colin 1713 | collaboration 1714 | collaborative 1715 | collapse 1716 | collar 1717 | colleague 1718 | colleagues 1719 | collect 1720 | collectables 1721 | collected 1722 | collectible 1723 | collectibles 1724 | collecting 1725 | collection 1726 | collections 1727 | collective 1728 | collector 1729 | collectors 1730 | college 1731 | colleges 1732 | collins 1733 | cologne 1734 | colombia 1735 | colon 1736 | colonial 1737 | colony 1738 | color 1739 | colorado 1740 | colored 1741 | colors 1742 | colour 1743 | colours 1744 | columbia 1745 | columbus 1746 | column 1747 | columnists 1748 | columns 1749 | com 1750 | combat 1751 | combination 1752 | combinations 1753 | combine 1754 | combined 1755 | combines 1756 | combining 1757 | combo 1758 | come 1759 | comedy 1760 | comes 1761 | comfort 1762 | comfortable 1763 | comic 1764 | comics 1765 | coming 1766 | comm 1767 | command 1768 | commander 1769 | commands 1770 | comment 1771 | commentary 1772 | commented 1773 | comments 1774 | commerce 1775 | commercial 1776 | commission 1777 | commissioner 1778 | commissioners 1779 | commissions 1780 | commit 1781 | commitment 1782 | commitments 1783 | committed 1784 | committee 1785 | committees 1786 | commodities 1787 | commodity 1788 | common 1789 | commonly 1790 | commons 1791 | commonwealth 1792 | communicate 1793 | communication 1794 | communications 1795 | communist 1796 | communities 1797 | community 1798 | comp 1799 | compact 1800 | companies 1801 | companion 1802 | company 1803 | compaq 1804 | comparable 1805 | comparative 1806 | compare 1807 | compared 1808 | comparing 1809 | comparison 1810 | comparisons 1811 | compatibility 1812 | compatible 1813 | compensation 1814 | compete 1815 | competent 1816 | competing 1817 | competition 1818 | competitions 1819 | competitive 1820 | competitors 1821 | compilation 1822 | compile 1823 | compiled 1824 | compiler 1825 | complaint 1826 | complaints 1827 | complement 1828 | complete 1829 | completed 1830 | completely 1831 | completing 1832 | completion 1833 | complex 1834 | complexity 1835 | compliance 1836 | compliant 1837 | complicated 1838 | complications 1839 | complimentary 1840 | comply 1841 | component 1842 | components 1843 | composed 1844 | composer 1845 | composite 1846 | composition 1847 | compound 1848 | compounds 1849 | comprehensive 1850 | compressed 1851 | compression 1852 | compromise 1853 | computation 1854 | computational 1855 | compute 1856 | computed 1857 | computer 1858 | computers 1859 | computing 1860 | con 1861 | concentrate 1862 | concentration 1863 | concentrations 1864 | concept 1865 | concepts 1866 | conceptual 1867 | concern 1868 | concerned 1869 | concerning 1870 | concerns 1871 | concert 1872 | concerts 1873 | conclude 1874 | concluded 1875 | conclusion 1876 | conclusions 1877 | concord 1878 | concrete 1879 | condition 1880 | conditional 1881 | conditioning 1882 | conditions 1883 | condo 1884 | condos 1885 | conduct 1886 | conducted 1887 | conducting 1888 | conf 1889 | conference 1890 | conferences 1891 | conferencing 1892 | confidence 1893 | confident 1894 | confidential 1895 | confidentiality 1896 | config 1897 | configuration 1898 | configure 1899 | configured 1900 | configuring 1901 | confirm 1902 | confirmation 1903 | confirmed 1904 | conflict 1905 | conflicts 1906 | confused 1907 | confusion 1908 | congo 1909 | congratulations 1910 | congress 1911 | congressional 1912 | conjunction 1913 | connect 1914 | connected 1915 | connecticut 1916 | connecting 1917 | connection 1918 | connections 1919 | connectivity 1920 | connector 1921 | connectors 1922 | cons 1923 | conscious 1924 | consciousness 1925 | consecutive 1926 | consensus 1927 | consent 1928 | consequence 1929 | consequences 1930 | consequently 1931 | conservation 1932 | conservative 1933 | consider 1934 | considerable 1935 | consideration 1936 | considerations 1937 | considered 1938 | considering 1939 | considers 1940 | consist 1941 | consistency 1942 | consistent 1943 | consistently 1944 | consisting 1945 | consists 1946 | console 1947 | consoles 1948 | consolidated 1949 | consolidation 1950 | consortium 1951 | conspiracy 1952 | constant 1953 | constantly 1954 | constitute 1955 | constitutes 1956 | constitution 1957 | constitutional 1958 | constraint 1959 | constraints 1960 | construct 1961 | constructed 1962 | construction 1963 | consult 1964 | consultancy 1965 | consultant 1966 | consultants 1967 | consultation 1968 | consulting 1969 | consumer 1970 | consumers 1971 | consumption 1972 | contact 1973 | contacted 1974 | contacting 1975 | contacts 1976 | contain 1977 | contained 1978 | container 1979 | containers 1980 | containing 1981 | contains 1982 | contamination 1983 | contemporary 1984 | content 1985 | contents 1986 | contest 1987 | contests 1988 | context 1989 | continent 1990 | continental 1991 | continually 1992 | continue 1993 | continued 1994 | continues 1995 | continuing 1996 | continuity 1997 | continuous 1998 | continuously 1999 | contract 2000 | contracting 2001 | contractor 2002 | contractors 2003 | contracts 2004 | contrary 2005 | contrast 2006 | contribute 2007 | contributed 2008 | contributing 2009 | contribution 2010 | contributions 2011 | contributor 2012 | contributors 2013 | control 2014 | controlled 2015 | controller 2016 | controllers 2017 | controlling 2018 | controls 2019 | controversial 2020 | controversy 2021 | convenience 2022 | convenient 2023 | convention 2024 | conventional 2025 | conventions 2026 | convergence 2027 | conversation 2028 | conversations 2029 | conversion 2030 | convert 2031 | converted 2032 | converter 2033 | convertible 2034 | convicted 2035 | conviction 2036 | convinced 2037 | cook 2038 | cookbook 2039 | cooked 2040 | cookie 2041 | cookies 2042 | cooking 2043 | cool 2044 | cooler 2045 | cooling 2046 | cooper 2047 | cooperation 2048 | cooperative 2049 | coordinate 2050 | coordinated 2051 | coordinates 2052 | coordination 2053 | coordinator 2054 | cop 2055 | cope 2056 | copied 2057 | copies 2058 | copper 2059 | copy 2060 | copying 2061 | copyright 2062 | copyrighted 2063 | copyrights 2064 | coral 2065 | cord 2066 | cordless 2067 | core 2068 | cork 2069 | corn 2070 | cornell 2071 | corner 2072 | corners 2073 | cornwall 2074 | corp 2075 | corporate 2076 | corporation 2077 | corporations 2078 | corps 2079 | corpus 2080 | correct 2081 | corrected 2082 | correction 2083 | corrections 2084 | correctly 2085 | correlation 2086 | correspondence 2087 | corresponding 2088 | corruption 2089 | cos 2090 | cosmetic 2091 | cosmetics 2092 | cost 2093 | costa 2094 | costs 2095 | costume 2096 | costumes 2097 | cottage 2098 | cottages 2099 | cotton 2100 | could 2101 | council 2102 | councils 2103 | counsel 2104 | counseling 2105 | count 2106 | counted 2107 | counter 2108 | counters 2109 | counties 2110 | counting 2111 | countries 2112 | country 2113 | counts 2114 | county 2115 | couple 2116 | coupled 2117 | couples 2118 | coupon 2119 | coupons 2120 | courage 2121 | courier 2122 | course 2123 | courses 2124 | court 2125 | courtesy 2126 | courts 2127 | cove 2128 | cover 2129 | coverage 2130 | covered 2131 | covering 2132 | covers 2133 | cow 2134 | cowboy 2135 | cox 2136 | cp 2137 | cpu 2138 | cr 2139 | crack 2140 | cradle 2141 | craft 2142 | crafts 2143 | craig 2144 | crap 2145 | craps 2146 | crash 2147 | crawford 2148 | crazy 2149 | cream 2150 | create 2151 | created 2152 | creates 2153 | creating 2154 | creation 2155 | creations 2156 | creative 2157 | creativity 2158 | creator 2159 | creature 2160 | creatures 2161 | credit 2162 | credits 2163 | creek 2164 | crest 2165 | crew 2166 | cricket 2167 | crime 2168 | crimes 2169 | criminal 2170 | crisis 2171 | criteria 2172 | criterion 2173 | critical 2174 | criticism 2175 | critics 2176 | crm 2177 | croatia 2178 | crop 2179 | crops 2180 | cross 2181 | crossing 2182 | crossword 2183 | crowd 2184 | crown 2185 | crucial 2186 | crude 2187 | cruise 2188 | cruises 2189 | cruz 2190 | cry 2191 | crystal 2192 | cs 2193 | css 2194 | cst 2195 | ct 2196 | cu 2197 | cuba 2198 | cube 2199 | cubic 2200 | cuisine 2201 | cult 2202 | cultural 2203 | culture 2204 | cultures 2205 | cum 2206 | cumshot 2207 | cumshots 2208 | cumulative 2209 | cunt 2210 | cup 2211 | cups 2212 | cure 2213 | curious 2214 | currencies 2215 | currency 2216 | current 2217 | currently 2218 | curriculum 2219 | cursor 2220 | curtis 2221 | curve 2222 | curves 2223 | custody 2224 | custom 2225 | customer 2226 | customers 2227 | customise 2228 | customize 2229 | customized 2230 | customs 2231 | cut 2232 | cute 2233 | cuts 2234 | cutting 2235 | cv 2236 | cvs 2237 | cw 2238 | cyber 2239 | cycle 2240 | cycles 2241 | cycling 2242 | cylinder 2243 | cyprus 2244 | cz 2245 | d 2246 | da 2247 | dad 2248 | daddy 2249 | daily 2250 | dairy 2251 | daisy 2252 | dakota 2253 | dale 2254 | dallas 2255 | dam 2256 | damage 2257 | damaged 2258 | damages 2259 | dame 2260 | damn 2261 | dan 2262 | dana 2263 | dance 2264 | dancing 2265 | danger 2266 | dangerous 2267 | daniel 2268 | danish 2269 | danny 2270 | dans 2271 | dare 2272 | dark 2273 | darkness 2274 | darwin 2275 | das 2276 | dash 2277 | dat 2278 | data 2279 | database 2280 | databases 2281 | date 2282 | dated 2283 | dates 2284 | dating 2285 | daughter 2286 | daughters 2287 | dave 2288 | davidson 2289 | dawn 2290 | day 2291 | days 2292 | dayton 2293 | db 2294 | dc 2295 | dd 2296 | ddr 2297 | de 2298 | dead 2299 | deadline 2300 | deadly 2301 | deaf 2302 | deal 2303 | dealer 2304 | dealers 2305 | dealing 2306 | deals 2307 | dealt 2308 | dealtime 2309 | dean 2310 | dear 2311 | death 2312 | deaths 2313 | debate 2314 | debian 2315 | deborah 2316 | debt 2317 | debug 2318 | debut 2319 | dec 2320 | decade 2321 | decades 2322 | december 2323 | decent 2324 | decide 2325 | decided 2326 | decimal 2327 | decision 2328 | decisions 2329 | deck 2330 | declaration 2331 | declare 2332 | declared 2333 | decline 2334 | declined 2335 | decor 2336 | decorating 2337 | decorative 2338 | decrease 2339 | decreased 2340 | dedicated 2341 | dee 2342 | deemed 2343 | deep 2344 | deeper 2345 | deeply 2346 | deer 2347 | def 2348 | default 2349 | defeat 2350 | defects 2351 | defence 2352 | defend 2353 | defendant 2354 | defense 2355 | defensive 2356 | deferred 2357 | deficit 2358 | define 2359 | defined 2360 | defines 2361 | defining 2362 | definitely 2363 | definition 2364 | definitions 2365 | degree 2366 | degrees 2367 | del 2368 | delaware 2369 | delay 2370 | delayed 2371 | delays 2372 | delegation 2373 | delete 2374 | deleted 2375 | delicious 2376 | delight 2377 | deliver 2378 | delivered 2379 | delivering 2380 | delivers 2381 | delivery 2382 | dell 2383 | delta 2384 | deluxe 2385 | dem 2386 | demand 2387 | demanding 2388 | demands 2389 | demo 2390 | democracy 2391 | democrat 2392 | democratic 2393 | democrats 2394 | demographic 2395 | demonstrate 2396 | demonstrated 2397 | demonstrates 2398 | demonstration 2399 | den 2400 | denial 2401 | denied 2402 | denmark 2403 | dennis 2404 | dense 2405 | density 2406 | dental 2407 | dentists 2408 | denver 2409 | deny 2410 | department 2411 | departmental 2412 | departments 2413 | departure 2414 | depend 2415 | dependence 2416 | dependent 2417 | depending 2418 | depends 2419 | deployment 2420 | deposit 2421 | deposits 2422 | depot 2423 | depression 2424 | dept 2425 | depth 2426 | deputy 2427 | der 2428 | derby 2429 | derived 2430 | des 2431 | descending 2432 | describe 2433 | described 2434 | describes 2435 | describing 2436 | description 2437 | descriptions 2438 | desert 2439 | deserve 2440 | design 2441 | designated 2442 | designation 2443 | designed 2444 | designer 2445 | designers 2446 | designing 2447 | designs 2448 | desirable 2449 | desire 2450 | desired 2451 | desk 2452 | desktop 2453 | desktops 2454 | desperate 2455 | despite 2456 | destination 2457 | destinations 2458 | destiny 2459 | destroy 2460 | destroyed 2461 | destruction 2462 | detail 2463 | detailed 2464 | details 2465 | detect 2466 | detected 2467 | detection 2468 | detective 2469 | detector 2470 | determination 2471 | determine 2472 | determined 2473 | determines 2474 | determining 2475 | detroit 2476 | deutsch 2477 | deutsche 2478 | deutschland 2479 | dev 2480 | devel 2481 | develop 2482 | developed 2483 | developer 2484 | developers 2485 | developing 2486 | development 2487 | developmental 2488 | developments 2489 | develops 2490 | deviant 2491 | deviation 2492 | device 2493 | devices 2494 | devil 2495 | devon 2496 | devoted 2497 | df 2498 | dg 2499 | dh 2500 | di 2501 | diabetes 2502 | diagnosis 2503 | diagnostic 2504 | diagram 2505 | dial 2506 | dialog 2507 | dialogue 2508 | diameter 2509 | diamond 2510 | diamonds 2511 | diane 2512 | diary 2513 | dice 2514 | dick 2515 | dicks 2516 | dictionaries 2517 | dictionary 2518 | did 2519 | die 2520 | died 2521 | dies 2522 | diesel 2523 | diet 2524 | dietary 2525 | diff 2526 | differ 2527 | difference 2528 | differences 2529 | different 2530 | differential 2531 | differently 2532 | difficult 2533 | difficulties 2534 | difficulty 2535 | diffs 2536 | dig 2537 | digest 2538 | digit 2539 | digital 2540 | dildo 2541 | dildos 2542 | dim 2543 | dimension 2544 | dimensional 2545 | dimensions 2546 | dining 2547 | dinner 2548 | dip 2549 | diploma 2550 | dir 2551 | direct 2552 | directed 2553 | direction 2554 | directions 2555 | directive 2556 | directly 2557 | director 2558 | directories 2559 | directors 2560 | directory 2561 | dirt 2562 | dirty 2563 | dis 2564 | disabilities 2565 | disability 2566 | disable 2567 | disabled 2568 | disagree 2569 | disappointed 2570 | disaster 2571 | disc 2572 | discharge 2573 | disciplinary 2574 | discipline 2575 | disciplines 2576 | disclaimer 2577 | disclaimers 2578 | disclose 2579 | disclosure 2580 | disco 2581 | discount 2582 | discounted 2583 | discounts 2584 | discover 2585 | discovered 2586 | discovery 2587 | discrete 2588 | discretion 2589 | discrimination 2590 | discs 2591 | discuss 2592 | discussed 2593 | discusses 2594 | discussing 2595 | discussion 2596 | discussions 2597 | disease 2598 | diseases 2599 | dish 2600 | dishes 2601 | disk 2602 | disks 2603 | disney 2604 | disorder 2605 | disorders 2606 | dispatch 2607 | dispatched 2608 | display 2609 | displayed 2610 | displaying 2611 | displays 2612 | disposal 2613 | disposition 2614 | dispute 2615 | disputes 2616 | dist 2617 | distance 2618 | distances 2619 | distant 2620 | distinct 2621 | distinction 2622 | distinguished 2623 | distribute 2624 | distributed 2625 | distribution 2626 | distributions 2627 | distributor 2628 | distributors 2629 | district 2630 | districts 2631 | disturbed 2632 | div 2633 | dive 2634 | diverse 2635 | diversity 2636 | divide 2637 | divided 2638 | dividend 2639 | divine 2640 | diving 2641 | division 2642 | divisions 2643 | divorce 2644 | divx 2645 | diy 2646 | dj 2647 | dk 2648 | dl 2649 | dm 2650 | dna 2651 | dns 2652 | do 2653 | doc 2654 | dock 2655 | docs 2656 | doctor 2657 | doctors 2658 | doctrine 2659 | document 2660 | documentary 2661 | documentation 2662 | documentcreatetextnode 2663 | documented 2664 | documents 2665 | dod 2666 | dodge 2667 | doe 2668 | does 2669 | dog 2670 | dogs 2671 | doing 2672 | doll 2673 | dollar 2674 | dollars 2675 | dolls 2676 | dom 2677 | domain 2678 | domains 2679 | dome 2680 | domestic 2681 | dominant 2682 | dominican 2683 | don 2684 | donald 2685 | donate 2686 | donated 2687 | donation 2688 | donations 2689 | done 2690 | donna 2691 | donor 2692 | donors 2693 | dont 2694 | doom 2695 | door 2696 | doors 2697 | dos 2698 | dosage 2699 | dose 2700 | dot 2701 | double 2702 | doubt 2703 | doug 2704 | douglas 2705 | dover 2706 | dow 2707 | down 2708 | download 2709 | downloadable 2710 | downloadcom 2711 | downloaded 2712 | downloading 2713 | downloads 2714 | downtown 2715 | dozen 2716 | dozens 2717 | dp 2718 | dpi 2719 | dr 2720 | draft 2721 | drag 2722 | dragon 2723 | drain 2724 | drainage 2725 | drama 2726 | dramatic 2727 | dramatically 2728 | draw 2729 | drawing 2730 | drawings 2731 | drawn 2732 | draws 2733 | dream 2734 | dreams 2735 | dress 2736 | dressed 2737 | dresses 2738 | dressing 2739 | drew 2740 | dried 2741 | drill 2742 | drilling 2743 | drink 2744 | drinking 2745 | drinks 2746 | drive 2747 | driven 2748 | driver 2749 | drivers 2750 | drives 2751 | driving 2752 | drop 2753 | dropped 2754 | drops 2755 | drove 2756 | drug 2757 | drugs 2758 | drum 2759 | drums 2760 | drunk 2761 | dry 2762 | dryer 2763 | ds 2764 | dsc 2765 | dsl 2766 | dt 2767 | dts 2768 | du 2769 | dual 2770 | dublin 2771 | duck 2772 | dude 2773 | due 2774 | dui 2775 | duke 2776 | dumb 2777 | dump 2778 | duncan 2779 | duo 2780 | duplicate 2781 | durable 2782 | duration 2783 | durham 2784 | during 2785 | dust 2786 | dutch 2787 | duties 2788 | duty 2789 | dv 2790 | dvd 2791 | dvds 2792 | dx 2793 | dying 2794 | dynamic 2795 | dynamics 2796 | e 2797 | ea 2798 | each 2799 | eagle 2800 | eagles 2801 | ear 2802 | earl 2803 | earlier 2804 | earliest 2805 | early 2806 | earn 2807 | earned 2808 | earning 2809 | earnings 2810 | earrings 2811 | ears 2812 | earth 2813 | earthquake 2814 | ease 2815 | easier 2816 | easily 2817 | east 2818 | easter 2819 | eastern 2820 | easy 2821 | eat 2822 | eating 2823 | eau 2824 | ebay 2825 | ebony 2826 | ebook 2827 | ebooks 2828 | ec 2829 | echo 2830 | eclipse 2831 | eco 2832 | ecological 2833 | ecology 2834 | ecommerce 2835 | economic 2836 | economics 2837 | economies 2838 | economy 2839 | ecuador 2840 | ed 2841 | eden 2842 | edge 2843 | edges 2844 | edinburgh 2845 | edit 2846 | edited 2847 | editing 2848 | edition 2849 | editions 2850 | editor 2851 | editorial 2852 | editorials 2853 | editors 2854 | edmonton 2855 | eds 2856 | edt 2857 | educated 2858 | education 2859 | educational 2860 | educators 2861 | edward 2862 | edwards 2863 | ee 2864 | ef 2865 | effect 2866 | effective 2867 | effectively 2868 | effectiveness 2869 | effects 2870 | efficiency 2871 | efficient 2872 | efficiently 2873 | effort 2874 | efforts 2875 | eg 2876 | egg 2877 | eggs 2878 | egyptian 2879 | eh 2880 | eight 2881 | either 2882 | ejaculation 2883 | el 2884 | elder 2885 | elderly 2886 | elect 2887 | elected 2888 | election 2889 | elections 2890 | electoral 2891 | electric 2892 | electrical 2893 | electricity 2894 | electro 2895 | electron 2896 | electronic 2897 | electronics 2898 | elegant 2899 | element 2900 | elementary 2901 | elements 2902 | elephant 2903 | elevation 2904 | eleven 2905 | eligibility 2906 | eligible 2907 | eliminate 2908 | elimination 2909 | elite 2910 | elizabeth 2911 | elliott 2912 | else 2913 | elsewhere 2914 | em 2915 | emacs 2916 | email 2917 | emails 2918 | embassy 2919 | embedded 2920 | emerald 2921 | emergency 2922 | emerging 2923 | eminem 2924 | emirates 2925 | emission 2926 | emissions 2927 | emma 2928 | emotional 2929 | emotions 2930 | emperor 2931 | emphasis 2932 | empire 2933 | empirical 2934 | employ 2935 | employed 2936 | employee 2937 | employees 2938 | employer 2939 | employers 2940 | employment 2941 | empty 2942 | en 2943 | enable 2944 | enabled 2945 | enables 2946 | enabling 2947 | enb 2948 | enclosed 2949 | enclosure 2950 | encoding 2951 | encounter 2952 | encountered 2953 | encourage 2954 | encouraged 2955 | encourages 2956 | encouraging 2957 | encryption 2958 | encyclopedia 2959 | end 2960 | endangered 2961 | ended 2962 | ending 2963 | endless 2964 | endorsed 2965 | endorsement 2966 | ends 2967 | enemies 2968 | enemy 2969 | energy 2970 | enforcement 2971 | eng 2972 | engage 2973 | engaged 2974 | engagement 2975 | engaging 2976 | engine 2977 | engineer 2978 | engineering 2979 | engineers 2980 | engines 2981 | england 2982 | english 2983 | enhance 2984 | enhanced 2985 | enhancement 2986 | enhancements 2987 | enhancing 2988 | enjoy 2989 | enjoyed 2990 | enjoying 2991 | enlarge 2992 | enlargement 2993 | enormous 2994 | enough 2995 | enquiries 2996 | enquiry 2997 | enrolled 2998 | enrollment 2999 | ensemble 3000 | ensure 3001 | ensures 3002 | ensuring 3003 | ent 3004 | enter 3005 | entered 3006 | entering 3007 | enterprise 3008 | enterprises 3009 | enters 3010 | entertaining 3011 | entertainment 3012 | entire 3013 | entirely 3014 | entities 3015 | entitled 3016 | entity 3017 | entrance 3018 | entrepreneur 3019 | entrepreneurs 3020 | entries 3021 | entry 3022 | envelope 3023 | environment 3024 | environmental 3025 | environments 3026 | enzyme 3027 | eos 3028 | ep 3029 | epa 3030 | epic 3031 | epinions 3032 | epinionscom 3033 | episode 3034 | episodes 3035 | eq 3036 | equal 3037 | equality 3038 | equally 3039 | equation 3040 | equations 3041 | equilibrium 3042 | equipment 3043 | equipped 3044 | equity 3045 | equivalent 3046 | er 3047 | era 3048 | eric 3049 | ericsson 3050 | erik 3051 | erotic 3052 | erotica 3053 | erp 3054 | error 3055 | errors 3056 | es 3057 | escape 3058 | escort 3059 | escorts 3060 | especially 3061 | espn 3062 | essay 3063 | essays 3064 | essence 3065 | essential 3066 | essentially 3067 | essentials 3068 | est 3069 | establish 3070 | established 3071 | establishing 3072 | establishment 3073 | estate 3074 | estates 3075 | estimate 3076 | estimated 3077 | estimates 3078 | estimation 3079 | estonia 3080 | et 3081 | etc 3082 | eternal 3083 | ethernet 3084 | ethical 3085 | ethics 3086 | ethiopia 3087 | ethnic 3088 | eu 3089 | eugene 3090 | eur 3091 | euro 3092 | europe 3093 | european 3094 | euros 3095 | ev 3096 | eva 3097 | eval 3098 | evaluate 3099 | evaluated 3100 | evaluating 3101 | evaluation 3102 | evaluations 3103 | evanescence 3104 | eve 3105 | even 3106 | evening 3107 | event 3108 | events 3109 | eventually 3110 | ever 3111 | every 3112 | everybody 3113 | everyday 3114 | everyone 3115 | everything 3116 | everywhere 3117 | evidence 3118 | evident 3119 | evil 3120 | evolution 3121 | ex 3122 | exact 3123 | exactly 3124 | exam 3125 | examination 3126 | examinations 3127 | 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6678 | portfolio 6679 | portion 6680 | portions 6681 | portland 6682 | portrait 6683 | portraits 6684 | ports 6685 | portsmouth 6686 | portugal 6687 | portuguese 6688 | pos 6689 | pose 6690 | posing 6691 | position 6692 | positioning 6693 | positions 6694 | positive 6695 | possess 6696 | possession 6697 | possibilities 6698 | possibility 6699 | possible 6700 | possibly 6701 | post 6702 | postage 6703 | postal 6704 | postcard 6705 | postcards 6706 | posted 6707 | poster 6708 | posters 6709 | posting 6710 | postings 6711 | postposted 6712 | posts 6713 | pot 6714 | potato 6715 | potatoes 6716 | potential 6717 | potentially 6718 | potter 6719 | pottery 6720 | poultry 6721 | pound 6722 | pounds 6723 | pour 6724 | poverty 6725 | powder 6726 | powell 6727 | power 6728 | powered 6729 | powerful 6730 | powerpoint 6731 | powers 6732 | powerseller 6733 | pp 6734 | ppc 6735 | ppm 6736 | pr 6737 | practical 6738 | practice 6739 | practices 6740 | practitioner 6741 | practitioners 6742 | prague 6743 | prairie 6744 | praise 6745 | pray 6746 | prayer 6747 | prayers 6748 | pre 6749 | preceding 6750 | precious 6751 | precipitation 6752 | precise 6753 | precisely 6754 | precision 6755 | predict 6756 | predicted 6757 | prediction 6758 | predictions 6759 | prefer 6760 | preference 6761 | preferences 6762 | preferred 6763 | prefers 6764 | prefix 6765 | pregnancy 6766 | pregnant 6767 | preliminary 6768 | premier 6769 | premiere 6770 | premises 6771 | premium 6772 | prep 6773 | prepaid 6774 | preparation 6775 | prepare 6776 | prepared 6777 | preparing 6778 | prerequisite 6779 | prescribed 6780 | prescription 6781 | presence 6782 | present 6783 | presentation 6784 | presentations 6785 | presented 6786 | presenting 6787 | presently 6788 | presents 6789 | preservation 6790 | preserve 6791 | president 6792 | presidential 6793 | press 6794 | pressed 6795 | pressing 6796 | pressure 6797 | preston 6798 | pretty 6799 | prev 6800 | prevent 6801 | preventing 6802 | prevention 6803 | preview 6804 | previews 6805 | previous 6806 | previously 6807 | price 6808 | priced 6809 | prices 6810 | pricing 6811 | pride 6812 | priest 6813 | primarily 6814 | primary 6815 | prime 6816 | prince 6817 | princess 6818 | princeton 6819 | principal 6820 | principle 6821 | principles 6822 | print 6823 | printable 6824 | printed 6825 | printer 6826 | printers 6827 | printing 6828 | prints 6829 | prior 6830 | priorities 6831 | priority 6832 | prison 6833 | prisoner 6834 | prisoners 6835 | privacy 6836 | private 6837 | privilege 6838 | privileges 6839 | prix 6840 | prize 6841 | prizes 6842 | pro 6843 | probability 6844 | probably 6845 | probe 6846 | problem 6847 | problems 6848 | proc 6849 | procedure 6850 | procedures 6851 | proceed 6852 | proceeding 6853 | proceedings 6854 | proceeds 6855 | process 6856 | processed 6857 | processes 6858 | processing 6859 | processor 6860 | processors 6861 | procurement 6862 | produce 6863 | produced 6864 | producer 6865 | producers 6866 | produces 6867 | producing 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6928 | pros 6929 | prospect 6930 | prospective 6931 | prospects 6932 | prostate 6933 | prostores 6934 | prot 6935 | protect 6936 | protected 6937 | protecting 6938 | protection 6939 | protective 6940 | protein 6941 | proteins 6942 | protest 6943 | protocol 6944 | protocols 6945 | prototype 6946 | proud 6947 | proudly 6948 | prove 6949 | proved 6950 | proven 6951 | provide 6952 | provided 6953 | providence 6954 | provider 6955 | providers 6956 | provides 6957 | providing 6958 | province 6959 | provinces 6960 | provincial 6961 | provision 6962 | provisions 6963 | proxy 6964 | prozac 6965 | ps 6966 | psi 6967 | psp 6968 | pst 6969 | psychiatry 6970 | psychological 6971 | psychology 6972 | pt 6973 | pts 6974 | pty 6975 | pub 6976 | public 6977 | publication 6978 | publications 6979 | publicity 6980 | publicly 6981 | publish 6982 | published 6983 | publisher 6984 | publishers 6985 | publishing 6986 | pubmed 6987 | pubs 6988 | puerto 6989 | pull 6990 | pulled 6991 | pulling 6992 | pulse 6993 | pump 6994 | pumps 6995 | punch 6996 | punishment 6997 | punk 6998 | pupils 6999 | puppy 7000 | purchase 7001 | purchased 7002 | purchases 7003 | purchasing 7004 | pure 7005 | purple 7006 | purpose 7007 | purposes 7008 | purse 7009 | pursuant 7010 | pursue 7011 | pursuit 7012 | push 7013 | pushed 7014 | pushing 7015 | pussy 7016 | put 7017 | puts 7018 | putting 7019 | puzzle 7020 | puzzles 7021 | pvc 7022 | python 7023 | q 7024 | qc 7025 | qld 7026 | qt 7027 | qty 7028 | quad 7029 | qualification 7030 | qualifications 7031 | qualified 7032 | qualify 7033 | qualifying 7034 | qualities 7035 | quality 7036 | quantitative 7037 | quantities 7038 | quantity 7039 | quantum 7040 | quarter 7041 | quarterly 7042 | quarters 7043 | que 7044 | quebec 7045 | queen 7046 | queens 7047 | queensland 7048 | queries 7049 | query 7050 | quest 7051 | question 7052 | questionnaire 7053 | questions 7054 | queue 7055 | qui 7056 | quick 7057 | quickly 7058 | quiet 7059 | quilt 7060 | quit 7061 | quite 7062 | quiz 7063 | quizzes 7064 | quotations 7065 | quote 7066 | quoted 7067 | quotes 7068 | r 7069 | ra 7070 | rabbit 7071 | race 7072 | races 7073 | rachel 7074 | racial 7075 | racing 7076 | rack 7077 | racks 7078 | radar 7079 | radiation 7080 | radical 7081 | radio 7082 | radios 7083 | radius 7084 | rage 7085 | raid 7086 | rail 7087 | railroad 7088 | railway 7089 | rain 7090 | rainbow 7091 | raise 7092 | raised 7093 | raises 7094 | raising 7095 | raleigh 7096 | rally 7097 | ralph 7098 | ram 7099 | ran 7100 | ranch 7101 | rand 7102 | random 7103 | randy 7104 | range 7105 | rangers 7106 | ranges 7107 | ranging 7108 | rank 7109 | ranked 7110 | ranking 7111 | rankings 7112 | ranks 7113 | rap 7114 | rape 7115 | rapid 7116 | rapidly 7117 | rapids 7118 | rare 7119 | rarely 7120 | rat 7121 | rate 7122 | rated 7123 | rates 7124 | rather 7125 | rating 7126 | ratings 7127 | ratio 7128 | rational 7129 | ratios 7130 | rats 7131 | raw 7132 | ray 7133 | raymond 7134 | rays 7135 | rb 7136 | rc 7137 | rca 7138 | rd 7139 | re 7140 | reach 7141 | reached 7142 | reaches 7143 | reaching 7144 | reaction 7145 | reactions 7146 | read 7147 | reader 7148 | readers 7149 | readily 7150 | reading 7151 | readings 7152 | reads 7153 | ready 7154 | real 7155 | realistic 7156 | reality 7157 | realize 7158 | realized 7159 | really 7160 | realm 7161 | realtor 7162 | realtors 7163 | realty 7164 | rear 7165 | reason 7166 | reasonable 7167 | reasonably 7168 | reasoning 7169 | reasons 7170 | rebate 7171 | rebates 7172 | rebecca 7173 | rebel 7174 | rebound 7175 | rec 7176 | recall 7177 | receipt 7178 | receive 7179 | received 7180 | receiver 7181 | receivers 7182 | receives 7183 | receiving 7184 | recent 7185 | recently 7186 | reception 7187 | receptor 7188 | receptors 7189 | recipe 7190 | recipes 7191 | recipient 7192 | recipients 7193 | recognised 7194 | recognition 7195 | recognize 7196 | recognized 7197 | recommend 7198 | recommendation 7199 | recommendations 7200 | recommended 7201 | recommends 7202 | reconstruction 7203 | record 7204 | recorded 7205 | recorder 7206 | recorders 7207 | recording 7208 | recordings 7209 | records 7210 | recover 7211 | recovered 7212 | recovery 7213 | recreation 7214 | recreational 7215 | recruiting 7216 | recruitment 7217 | recycling 7218 | red 7219 | redeem 7220 | redhead 7221 | reduce 7222 | reduced 7223 | reduces 7224 | reducing 7225 | reduction 7226 | reductions 7227 | reed 7228 | reef 7229 | reel 7230 | ref 7231 | refer 7232 | reference 7233 | referenced 7234 | references 7235 | referral 7236 | referrals 7237 | referred 7238 | referring 7239 | refers 7240 | refinance 7241 | refine 7242 | refined 7243 | reflect 7244 | reflected 7245 | reflection 7246 | reflections 7247 | reflects 7248 | reform 7249 | reforms 7250 | refresh 7251 | refrigerator 7252 | refugees 7253 | refund 7254 | refurbished 7255 | refuse 7256 | refused 7257 | reg 7258 | regard 7259 | regarded 7260 | regarding 7261 | regardless 7262 | regards 7263 | reggae 7264 | regime 7265 | region 7266 | regional 7267 | regions 7268 | register 7269 | registered 7270 | registrar 7271 | registration 7272 | registry 7273 | regression 7274 | regular 7275 | regularly 7276 | regulated 7277 | regulation 7278 | regulations 7279 | regulatory 7280 | rehab 7281 | rehabilitation 7282 | reid 7283 | reject 7284 | rejected 7285 | rel 7286 | relate 7287 | related 7288 | relates 7289 | relating 7290 | relation 7291 | relations 7292 | relationship 7293 | relationships 7294 | relative 7295 | relatively 7296 | relatives 7297 | relax 7298 | relaxation 7299 | relay 7300 | release 7301 | released 7302 | releases 7303 | relevance 7304 | relevant 7305 | reliability 7306 | reliable 7307 | reliance 7308 | relief 7309 | religion 7310 | religions 7311 | religious 7312 | reload 7313 | relocation 7314 | rely 7315 | relying 7316 | remain 7317 | remainder 7318 | remained 7319 | remaining 7320 | remains 7321 | remark 7322 | remarkable 7323 | remarks 7324 | remedies 7325 | remedy 7326 | remember 7327 | remembered 7328 | remind 7329 | reminder 7330 | remix 7331 | remote 7332 | removable 7333 | removal 7334 | remove 7335 | removed 7336 | removing 7337 | renaissance 7338 | render 7339 | rendered 7340 | rendering 7341 | renew 7342 | renewable 7343 | renewal 7344 | reno 7345 | rent 7346 | rental 7347 | rentals 7348 | rentcom 7349 | rep 7350 | repair 7351 | repairs 7352 | repeat 7353 | repeated 7354 | replace 7355 | replaced 7356 | replacement 7357 | replacing 7358 | replica 7359 | replication 7360 | replied 7361 | replies 7362 | reply 7363 | report 7364 | reported 7365 | reporter 7366 | reporters 7367 | reporting 7368 | reports 7369 | repository 7370 | represent 7371 | representation 7372 | representations 7373 | representative 7374 | representatives 7375 | represented 7376 | representing 7377 | represents 7378 | reprint 7379 | reprints 7380 | reproduce 7381 | reproduced 7382 | reproduction 7383 | reproductive 7384 | republic 7385 | republican 7386 | republicans 7387 | reputation 7388 | request 7389 | requested 7390 | requesting 7391 | requests 7392 | require 7393 | required 7394 | requirement 7395 | requirements 7396 | requires 7397 | requiring 7398 | res 7399 | rescue 7400 | research 7401 | researcher 7402 | researchers 7403 | reseller 7404 | reservation 7405 | reservations 7406 | reserve 7407 | reserved 7408 | reserves 7409 | reservoir 7410 | reset 7411 | residence 7412 | resident 7413 | residential 7414 | residents 7415 | resist 7416 | resistance 7417 | resistant 7418 | resolution 7419 | resolutions 7420 | resolve 7421 | resolved 7422 | resort 7423 | resorts 7424 | resource 7425 | resources 7426 | respect 7427 | respected 7428 | respective 7429 | respectively 7430 | respiratory 7431 | respond 7432 | responded 7433 | respondent 7434 | respondents 7435 | responding 7436 | response 7437 | responses 7438 | responsibilities 7439 | responsibility 7440 | responsible 7441 | rest 7442 | restaurant 7443 | restaurants 7444 | restoration 7445 | restore 7446 | restored 7447 | restrict 7448 | restricted 7449 | restriction 7450 | restrictions 7451 | restructuring 7452 | result 7453 | resulted 7454 | resulting 7455 | results 7456 | resume 7457 | resumes 7458 | retail 7459 | retailer 7460 | retailers 7461 | retain 7462 | retained 7463 | retention 7464 | retired 7465 | retirement 7466 | retreat 7467 | retrieval 7468 | retrieve 7469 | retrieved 7470 | retro 7471 | return 7472 | returned 7473 | returning 7474 | returns 7475 | reunion 7476 | reuters 7477 | rev 7478 | reveal 7479 | revealed 7480 | reveals 7481 | revelation 7482 | revenge 7483 | revenue 7484 | revenues 7485 | reverse 7486 | review 7487 | reviewed 7488 | reviewer 7489 | reviewing 7490 | reviews 7491 | revised 7492 | revision 7493 | revisions 7494 | revolution 7495 | revolutionary 7496 | reward 7497 | rewards 7498 | reynolds 7499 | rf 7500 | rfc 7501 | rg 7502 | rh 7503 | rhythm 7504 | ri 7505 | ribbon 7506 | rica 7507 | rice 7508 | rich 7509 | richard 7510 | richards 7511 | richardson 7512 | richmond 7513 | rick 7514 | rico 7515 | rid 7516 | ride 7517 | rider 7518 | riders 7519 | rides 7520 | ridge 7521 | riding 7522 | right 7523 | rights 7524 | rim 7525 | ring 7526 | rings 7527 | ringtone 7528 | ringtones 7529 | rio 7530 | rip 7531 | ripe 7532 | rise 7533 | rising 7534 | risk 7535 | risks 7536 | river 7537 | rivers 7538 | riverside 7539 | rj 7540 | rl 7541 | rm 7542 | rn 7543 | rna 7544 | ro 7545 | road 7546 | roads 7547 | rob 7548 | robert 7549 | roberts 7550 | robertson 7551 | robin 7552 | robinson 7553 | robot 7554 | robots 7555 | robust 7556 | rochester 7557 | rock 7558 | rocket 7559 | rocks 7560 | rocky 7561 | rod 7562 | roger 7563 | rogers 7564 | roland 7565 | role 7566 | roles 7567 | roll 7568 | rolled 7569 | roller 7570 | rolling 7571 | rolls 7572 | rom 7573 | roman 7574 | romance 7575 | romania 7576 | romantic 7577 | rome 7578 | ron 7579 | ronald 7580 | roof 7581 | room 7582 | roommate 7583 | roommates 7584 | rooms 7585 | root 7586 | roots 7587 | rope 7588 | rosa 7589 | rose 7590 | roses 7591 | ross 7592 | roster 7593 | rotary 7594 | rotation 7595 | rouge 7596 | rough 7597 | roughly 7598 | roulette 7599 | round 7600 | rounds 7601 | route 7602 | router 7603 | routers 7604 | routes 7605 | routine 7606 | routines 7607 | routing 7608 | rover 7609 | row 7610 | rows 7611 | roy 7612 | royal 7613 | royalty 7614 | rp 7615 | rpg 7616 | rpm 7617 | rr 7618 | rrp 7619 | rs 7620 | rss 7621 | rt 7622 | ru 7623 | rubber 7624 | ruby 7625 | rug 7626 | rugby 7627 | rugs 7628 | rule 7629 | ruled 7630 | rules 7631 | ruling 7632 | run 7633 | runner 7634 | running 7635 | runs 7636 | runtime 7637 | rural 7638 | rush 7639 | russell 7640 | russia 7641 | russian 7642 | ruth 7643 | rv 7644 | rw 7645 | rwanda 7646 | rx 7647 | ryan 7648 | s 7649 | sa 7650 | sacramento 7651 | sacred 7652 | sacrifice 7653 | sad 7654 | saddam 7655 | safari 7656 | safe 7657 | safely 7658 | safer 7659 | safety 7660 | sage 7661 | said 7662 | sail 7663 | sailing 7664 | saint 7665 | saints 7666 | sake 7667 | salad 7668 | salaries 7669 | salary 7670 | sale 7671 | sales 7672 | sally 7673 | salmon 7674 | salon 7675 | salt 7676 | salvador 7677 | salvation 7678 | sam 7679 | samba 7680 | same 7681 | sample 7682 | samples 7683 | sampling 7684 | samsung 7685 | samuel 7686 | san 7687 | sand 7688 | sandra 7689 | sandwich 7690 | sandy 7691 | sans 7692 | sao 7693 | sap 7694 | sapphire 7695 | sara 7696 | sas 7697 | saskatchewan 7698 | sat 7699 | satellite 7700 | satin 7701 | satisfaction 7702 | satisfactory 7703 | satisfied 7704 | satisfy 7705 | saturday 7706 | saturn 7707 | sauce 7708 | savage 7709 | savannah 7710 | save 7711 | saved 7712 | saver 7713 | saves 7714 | saving 7715 | savings 7716 | saw 7717 | say 7718 | saying 7719 | says 7720 | sb 7721 | sc 7722 | scale 7723 | scales 7724 | scan 7725 | scanned 7726 | scanner 7727 | scanners 7728 | scanning 7729 | scary 7730 | scenario 7731 | scenarios 7732 | scene 7733 | scenes 7734 | scenic 7735 | schedule 7736 | scheduled 7737 | schedules 7738 | scheduling 7739 | schema 7740 | scheme 7741 | schemes 7742 | scholar 7743 | scholars 7744 | scholarship 7745 | scholarships 7746 | school 7747 | schools 7748 | sci 7749 | science 7750 | sciences 7751 | scientific 7752 | scientist 7753 | scientists 7754 | scoop 7755 | scope 7756 | score 7757 | scored 7758 | scores 7759 | scoring 7760 | scotia 7761 | scotland 7762 | scottish 7763 | scout 7764 | scratch 7765 | screen 7766 | screening 7767 | screens 7768 | screensaver 7769 | screensavers 7770 | screenshot 7771 | screenshots 7772 | screw 7773 | script 7774 | scripting 7775 | scripts 7776 | scroll 7777 | scsi 7778 | scuba 7779 | sculpture 7780 | sd 7781 | se 7782 | sea 7783 | seafood 7784 | seal 7785 | sealed 7786 | sean 7787 | search 7788 | searchcom 7789 | searched 7790 | searches 7791 | searching 7792 | seas 7793 | season 7794 | seasonal 7795 | seasons 7796 | seat 7797 | seating 7798 | seats 7799 | seattle 7800 | sec 7801 | second 7802 | secondary 7803 | seconds 7804 | secret 7805 | secretariat 7806 | secretary 7807 | secrets 7808 | section 7809 | sections 7810 | sector 7811 | sectors 7812 | secure 7813 | secured 7814 | securely 7815 | securities 7816 | security 7817 | see 7818 | seed 7819 | seeds 7820 | seeing 7821 | seek 7822 | seeker 7823 | seekers 7824 | seeking 7825 | seeks 7826 | seem 7827 | seemed 7828 | seems 7829 | seen 7830 | sees 7831 | sega 7832 | segment 7833 | segments 7834 | select 7835 | selected 7836 | selecting 7837 | selection 7838 | selections 7839 | selective 7840 | self 7841 | sell 7842 | seller 7843 | sellers 7844 | selling 7845 | sells 7846 | semester 7847 | semi 7848 | semiconductor 7849 | seminar 7850 | seminars 7851 | sen 7852 | senate 7853 | senator 7854 | senators 7855 | send 7856 | sender 7857 | sending 7858 | sends 7859 | senegal 7860 | senior 7861 | seniors 7862 | sense 7863 | sensitive 7864 | sensitivity 7865 | sensor 7866 | sensors 7867 | sent 7868 | sentence 7869 | sentences 7870 | seo 7871 | sep 7872 | separate 7873 | separated 7874 | separately 7875 | separation 7876 | sept 7877 | september 7878 | seq 7879 | sequence 7880 | sequences 7881 | ser 7882 | serbia 7883 | serial 7884 | series 7885 | serious 7886 | seriously 7887 | serum 7888 | serve 7889 | served 7890 | server 7891 | servers 7892 | serves 7893 | service 7894 | services 7895 | serving 7896 | session 7897 | sessions 7898 | set 7899 | sets 7900 | setting 7901 | settings 7902 | settle 7903 | settled 7904 | settlement 7905 | setup 7906 | seven 7907 | seventh 7908 | several 7909 | severe 7910 | sewing 7911 | sex 7912 | sexcam 7913 | sexo 7914 | sexual 7915 | sexuality 7916 | sexually 7917 | sexy 7918 | sf 7919 | sg 7920 | sh 7921 | shade 7922 | shades 7923 | shadow 7924 | shadows 7925 | shaft 7926 | shake 7927 | shakespeare 7928 | shakira 7929 | shall 7930 | shame 7931 | shanghai 7932 | shannon 7933 | shape 7934 | shaped 7935 | shapes 7936 | share 7937 | shared 7938 | shareholders 7939 | shares 7940 | shareware 7941 | sharing 7942 | shark 7943 | sharon 7944 | sharp 7945 | shaved 7946 | shaw 7947 | she 7948 | shed 7949 | sheep 7950 | sheer 7951 | sheet 7952 | sheets 7953 | sheffield 7954 | shelf 7955 | shell 7956 | shelter 7957 | shemale 7958 | shemales 7959 | shepherd 7960 | sheriff 7961 | sherman 7962 | shield 7963 | shift 7964 | shine 7965 | ship 7966 | shipment 7967 | shipments 7968 | shipped 7969 | shipping 7970 | ships 7971 | shirt 7972 | shirts 7973 | shit 7974 | shock 7975 | shoe 7976 | shoes 7977 | shoot 7978 | shooting 7979 | shop 7980 | shopper 7981 | shoppercom 7982 | shoppers 7983 | shopping 7984 | shoppingcom 7985 | shops 7986 | shopzilla 7987 | shore 7988 | short 7989 | shortcuts 7990 | shorter 7991 | shortly 7992 | shorts 7993 | shot 7994 | shots 7995 | should 7996 | shoulder 7997 | show 7998 | showcase 7999 | showed 8000 | shower 8001 | showers 8002 | showing 8003 | shown 8004 | shows 8005 | showtimes 8006 | shut 8007 | shuttle 8008 | si 8009 | sic 8010 | sick 8011 | side 8012 | sides 8013 | sie 8014 | siemens 8015 | sierra 8016 | sig 8017 | sight 8018 | sigma 8019 | sign 8020 | signal 8021 | signals 8022 | signature 8023 | signatures 8024 | signed 8025 | significance 8026 | significant 8027 | significantly 8028 | signing 8029 | signs 8030 | signup 8031 | silence 8032 | silent 8033 | silicon 8034 | silk 8035 | silly 8036 | silver 8037 | sim 8038 | similar 8039 | similarly 8040 | simple 8041 | simplified 8042 | simply 8043 | simpson 8044 | simpsons 8045 | sims 8046 | simulation 8047 | simulations 8048 | simultaneously 8049 | sin 8050 | since 8051 | sing 8052 | singapore 8053 | singer 8054 | singing 8055 | single 8056 | singles 8057 | sink 8058 | sip 8059 | sir 8060 | sister 8061 | sisters 8062 | sit 8063 | site 8064 | sitemap 8065 | sites 8066 | sitting 8067 | situated 8068 | situation 8069 | situations 8070 | six 8071 | sixth 8072 | size 8073 | sized 8074 | sizes 8075 | sk 8076 | skating 8077 | ski 8078 | skiing 8079 | skill 8080 | skilled 8081 | skills 8082 | skin 8083 | skins 8084 | skip 8085 | skirt 8086 | skirts 8087 | sku 8088 | sky 8089 | sl 8090 | slave 8091 | sleep 8092 | sleeping 8093 | sleeps 8094 | sleeve 8095 | slide 8096 | slides 8097 | slideshow 8098 | slight 8099 | slightly 8100 | slim 8101 | slip 8102 | slope 8103 | slot 8104 | slots 8105 | slovak 8106 | slovakia 8107 | slovenia 8108 | slow 8109 | slowly 8110 | slut 8111 | sluts 8112 | sm 8113 | small 8114 | smaller 8115 | smart 8116 | smell 8117 | smile 8118 | smilies 8119 | smith 8120 | smithsonian 8121 | smoke 8122 | smoking 8123 | smooth 8124 | sms 8125 | smtp 8126 | sn 8127 | snake 8128 | snap 8129 | snapshot 8130 | snow 8131 | snowboard 8132 | so 8133 | soa 8134 | soap 8135 | soc 8136 | soccer 8137 | social 8138 | societies 8139 | society 8140 | sociology 8141 | socket 8142 | socks 8143 | sodium 8144 | sofa 8145 | soft 8146 | softball 8147 | software 8148 | soil 8149 | sol 8150 | solar 8151 | solaris 8152 | sold 8153 | soldier 8154 | soldiers 8155 | sole 8156 | solely 8157 | solid 8158 | solo 8159 | solomon 8160 | solution 8161 | solutions 8162 | solve 8163 | solved 8164 | solving 8165 | soma 8166 | somalia 8167 | some 8168 | somebody 8169 | somehow 8170 | someone 8171 | somerset 8172 | something 8173 | sometimes 8174 | somewhat 8175 | somewhere 8176 | son 8177 | song 8178 | songs 8179 | sonic 8180 | sons 8181 | sony 8182 | soon 8183 | soonest 8184 | sophisticated 8185 | sorry 8186 | sort 8187 | sorted 8188 | sorts 8189 | sought 8190 | soul 8191 | souls 8192 | sound 8193 | sounds 8194 | soundtrack 8195 | soup 8196 | source 8197 | sources 8198 | south 8199 | southampton 8200 | southeast 8201 | southern 8202 | southwest 8203 | soviet 8204 | sox 8205 | sp 8206 | spa 8207 | space 8208 | spaces 8209 | spain 8210 | spam 8211 | span 8212 | spanish 8213 | spank 8214 | spanking 8215 | spare 8216 | spas 8217 | spatial 8218 | speak 8219 | speaker 8220 | speakers 8221 | speaking 8222 | speaks 8223 | spears 8224 | spec 8225 | special 8226 | specialist 8227 | specialists 8228 | specialized 8229 | specializing 8230 | specially 8231 | specials 8232 | specialties 8233 | specialty 8234 | species 8235 | specific 8236 | specifically 8237 | specification 8238 | specifications 8239 | specifics 8240 | specified 8241 | specifies 8242 | specify 8243 | specs 8244 | spectacular 8245 | spectrum 8246 | speech 8247 | speeches 8248 | speed 8249 | speeds 8250 | spell 8251 | spelling 8252 | spencer 8253 | spend 8254 | spending 8255 | spent 8256 | sperm 8257 | sphere 8258 | spice 8259 | spider 8260 | spies 8261 | spin 8262 | spine 8263 | spirit 8264 | spirits 8265 | spiritual 8266 | spirituality 8267 | split 8268 | spoke 8269 | spoken 8270 | spokesman 8271 | sponsor 8272 | sponsored 8273 | sponsors 8274 | sponsorship 8275 | sport 8276 | sporting 8277 | sports 8278 | spot 8279 | spotlight 8280 | spots 8281 | spouse 8282 | spray 8283 | spread 8284 | spreading 8285 | spring 8286 | springer 8287 | springfield 8288 | springs 8289 | sprint 8290 | spy 8291 | spyware 8292 | sq 8293 | sql 8294 | squad 8295 | square 8296 | squirt 8297 | squirting 8298 | sr 8299 | src 8300 | sri 8301 | ss 8302 | ssl 8303 | st 8304 | stability 8305 | stable 8306 | stack 8307 | stadium 8308 | staff 8309 | staffing 8310 | stage 8311 | stages 8312 | stainless 8313 | stakeholders 8314 | stamp 8315 | stamps 8316 | stan 8317 | stand 8318 | standard 8319 | standards 8320 | standing 8321 | standings 8322 | stands 8323 | stanford 8324 | stanley 8325 | star 8326 | starring 8327 | stars 8328 | starsmerchant 8329 | start 8330 | started 8331 | starter 8332 | starting 8333 | starts 8334 | startup 8335 | stat 8336 | state 8337 | stated 8338 | statement 8339 | statements 8340 | states 8341 | statewide 8342 | static 8343 | stating 8344 | station 8345 | stationery 8346 | stations 8347 | statistical 8348 | statistics 8349 | stats 8350 | status 8351 | statute 8352 | statutes 8353 | statutory 8354 | stay 8355 | stayed 8356 | staying 8357 | stays 8358 | std 8359 | ste 8360 | steady 8361 | steal 8362 | steam 8363 | steel 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9747 | wr 9748 | wrap 9749 | wrapped 9750 | wrapping 9751 | wrestling 9752 | wright 9753 | wrist 9754 | write 9755 | writer 9756 | writers 9757 | writes 9758 | writing 9759 | writings 9760 | written 9761 | wrong 9762 | wrote 9763 | ws 9764 | wt 9765 | wto 9766 | wu 9767 | wv 9768 | ww 9769 | www 9770 | wx 9771 | wy 9772 | wyoming 9773 | x 9774 | xbox 9775 | xerox 9776 | xi 9777 | xl 9778 | xml 9779 | xnxx 9780 | xp 9781 | xx 9782 | xxx 9783 | y 9784 | ya 9785 | yacht 9786 | yahoo 9787 | yale 9788 | yamaha 9789 | yang 9790 | yard 9791 | yards 9792 | yarn 9793 | ye 9794 | yea 9795 | yeah 9796 | year 9797 | yearly 9798 | years 9799 | yeast 9800 | yellow 9801 | yen 9802 | yes 9803 | yesterday 9804 | yet 9805 | yield 9806 | yields 9807 | yn 9808 | yo 9809 | yoga 9810 | york 9811 | yorkshire 9812 | you 9813 | young 9814 | younger 9815 | your 9816 | yours 9817 | yourself 9818 | youth 9819 | yr 9820 | yrs 9821 | yu 9822 | yugoslavia 9823 | z 9824 | za 9825 | zambia 9826 | zealand 9827 | zen 9828 | zero 9829 | zimbabwe 9830 | zinc 9831 | zip 9832 | zoloft 9833 | zone 9834 | zones 9835 | zoning 9836 | zoo 9837 | zoom 9838 | zoophilia 9839 | zope 9840 | zshops 9841 | zu 9842 | zum 9843 | zus -------------------------------------------------------------------------------- /generate_opener_list.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": null, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "from wordle_solver import WordleSolver\n", 10 | "from wordle_game import WordleGame\n", 11 | "\n", 12 | "import string \n", 13 | "import sys\n", 14 | "import math\n", 15 | "import random" 16 | ] 17 | }, 18 | { 19 | "cell_type": "code", 20 | "execution_count": null, 21 | "metadata": {}, 22 | "outputs": [], 23 | "source": [ 24 | "from sklearn.cluster import KMeans\n", 25 | "import numpy as np" 26 | ] 27 | }, 28 | { 29 | "cell_type": "code", 30 | "execution_count": null, 31 | "metadata": {}, 32 | "outputs": [], 33 | "source": [ 34 | "word_list_filename = \"english_words_alpha_dwyl.txt\"\n", 35 | "target_opener_list_filename = \"english_words_opener.txt\"\n", 36 | "target_full_list_filename = \"english_words_full.txt\"" 37 | ] 38 | }, 39 | { 40 | "cell_type": "code", 41 | "execution_count": null, 42 | "metadata": {}, 43 | "outputs": [], 44 | "source": [ 45 | "original_wordle_list_filename = \"english_words_original_wordle.txt\"\n", 46 | "all_original_wordle_words = [word.replace(\"\\r\",\"\").replace(\"\\n\",\"\") for word in open(original_wordle_list_filename, \"r\").readlines()]" 47 | ] 48 | }, 49 | { 50 | "cell_type": "code", 51 | "execution_count": null, 52 | "metadata": {}, 53 | "outputs": [], 54 | "source": [ 55 | "# all_original_wordle_words = []" 56 | ] 57 | }, 58 | { 59 | "cell_type": "code", 60 | "execution_count": null, 61 | "metadata": {}, 62 | "outputs": [], 63 | "source": [ 64 | "all_words = open(word_list_filename, \"r\").readlines()" 65 | ] 66 | }, 67 | { 68 | "cell_type": "code", 69 | "execution_count": null, 70 | "metadata": {}, 71 | "outputs": [], 72 | "source": [ 73 | "all_words = [word.replace(\"\\r\",\"\").replace(\"\\n\",\"\") for word in all_words]" 74 | ] 75 | }, 76 | { 77 | "cell_type": "code", 78 | "execution_count": null, 79 | "metadata": {}, 80 | "outputs": [], 81 | "source": [ 82 | "not_on_list_words = list([wordle_word for wordle_word in all_original_wordle_words if wordle_word not in all_words])" 83 | ] 84 | }, 85 | { 86 | "cell_type": "code", 87 | "execution_count": null, 88 | "metadata": {}, 89 | "outputs": [], 90 | "source": [ 91 | "all_words += not_on_list_words" 92 | ] 93 | }, 94 | { 95 | "cell_type": "code", 96 | "execution_count": null, 97 | "metadata": {}, 98 | "outputs": [], 99 | "source": [ 100 | "with open(target_full_list_filename, \"w\") as f:\n", 101 | " f.write(\"\\n\".join([word for word in all_words]))" 102 | ] 103 | }, 104 | { 105 | "cell_type": "code", 106 | "execution_count": null, 107 | "metadata": {}, 108 | "outputs": [], 109 | "source": [ 110 | "min_clusters = 500\n", 111 | "cluster_groupping_rate = 0.12" 112 | ] 113 | }, 114 | { 115 | "cell_type": "code", 116 | "execution_count": null, 117 | "metadata": {}, 118 | "outputs": [], 119 | "source": [ 120 | "words_by_length_dict = {}\n", 121 | "\n", 122 | "for word in all_words:\n", 123 | " word_length = len(word)\n", 124 | " if word_length not in words_by_length_dict:\n", 125 | " words_by_length_dict[word_length] = []\n", 126 | " words_by_length_dict[word_length].append(word)" 127 | ] 128 | }, 129 | { 130 | "cell_type": "code", 131 | "execution_count": null, 132 | "metadata": {}, 133 | "outputs": [], 134 | "source": [ 135 | "letter_vectorising_array = [letter for letter in string.ascii_lowercase]\n", 136 | "random.shuffle(letter_vectorising_array)" 137 | ] 138 | }, 139 | { 140 | "cell_type": "code", 141 | "execution_count": null, 142 | "metadata": {}, 143 | "outputs": [], 144 | "source": [ 145 | "def vectorise_word(word):\n", 146 | " word_vector = []\n", 147 | " for letter in word:\n", 148 | " word_vector.append(letter_vectorising_array.index(letter) + 1)\n", 149 | " return word_vector" 150 | ] 151 | }, 152 | { 153 | "cell_type": "code", 154 | "execution_count": null, 155 | "metadata": {}, 156 | "outputs": [], 157 | "source": [ 158 | "def get_letter_prob_dict(word_list):\n", 159 | " if len(word_list) <= 0:\n", 160 | " return []\n", 161 | " letter_freq_dict = {}\n", 162 | " for letter in string.ascii_lowercase:\n", 163 | " letter_freq_dict[letter] = 0\n", 164 | " for word in word_list:\n", 165 | " for letter in word:\n", 166 | " letter_freq_dict[letter] += 1\n", 167 | " letter_prob_dict = {}\n", 168 | " total_letters = sum([len(word) for word in word_list])\n", 169 | " for letter in letter_freq_dict.keys():\n", 170 | " letter_prob_dict[letter] = (letter_freq_dict[letter] / total_letters)\n", 171 | "\n", 172 | " return letter_prob_dict" 173 | ] 174 | }, 175 | { 176 | "cell_type": "code", 177 | "execution_count": null, 178 | "metadata": {}, 179 | "outputs": [], 180 | "source": [ 181 | "def get_letter_positional_prob_dict(words):\n", 182 | " positional_prob = []\n", 183 | " for i in range(0, len(words[0])):\n", 184 | " letter_list = [word[i] for word in words]\n", 185 | " positional_prob.append(get_letter_prob_dict(letter_list))\n", 186 | " return positional_prob" 187 | ] 188 | }, 189 | { 190 | "cell_type": "code", 191 | "execution_count": null, 192 | "metadata": {}, 193 | "outputs": [], 194 | "source": [ 195 | "def sort_words_with_letter_positional_prob(words):\n", 196 | " letter_position_prob = get_letter_positional_prob_dict(words)\n", 197 | " words_with_prob = []\n", 198 | " for word in words:\n", 199 | " score = 1\n", 200 | " for i in range(0, len(letter_position_prob)):\n", 201 | " if letter_position_prob[i]:\n", 202 | " score *= letter_position_prob[i][word[i]]\n", 203 | " words_with_prob.append((word, score))\n", 204 | " words_with_prob.sort(key=lambda element: element[1], reverse=True)\n", 205 | " return [word for (word, _) in words_with_prob]" 206 | ] 207 | }, 208 | { 209 | "cell_type": "code", 210 | "execution_count": null, 211 | "metadata": {}, 212 | "outputs": [], 213 | "source": [ 214 | "def get_word_entropy_dict(words):\n", 215 | " word_entropy_dict = {}\n", 216 | " game = WordleGame(None, word_length)\n", 217 | " game.word_length = len(words[0])\n", 218 | " game.word_list = words\n", 219 | " solver = WordleSolver(None, word_length)\n", 220 | " solver.word_length = len(words[0])\n", 221 | " solver.word_list = words\n", 222 | " word_count = len(words)\n", 223 | " hidden_word_list = words.copy()\n", 224 | " random.shuffle(hidden_word_list)\n", 225 | " for word in words:\n", 226 | " possible_word_count = []\n", 227 | " for hidden_word in hidden_word_list:\n", 228 | " solver.reset()\n", 229 | " game.hidden_word = hidden_word\n", 230 | " response_symbols = game.guess(word)\n", 231 | " solver.input_guess_result(word, response_symbols)\n", 232 | " solver.update_pattern_paramters()\n", 233 | " possible_word_count.append(len(solver.get_possible_words()))\n", 234 | " probs = [(sys.float_info.min + (count / word_count)) for count in possible_word_count]\n", 235 | " entropy = 0 - sum([prob * math.log(prob, 2) for prob in probs])\n", 236 | " word_entropy_dict[word] = entropy\n", 237 | " return word_entropy_dict" 238 | ] 239 | }, 240 | { 241 | "cell_type": "code", 242 | "execution_count": null, 243 | "metadata": {}, 244 | "outputs": [], 245 | "source": [ 246 | "def sort_words_with_entropy(words):\n", 247 | " word_entropies_dict = get_word_entropy_dict(words)\n", 248 | " words_with_entopies = [(word, word_entropies_dict[word]) for word in words]\n", 249 | " words_with_entopies.sort(key=lambda element: element[1], reverse=False)\n", 250 | " sorted_words = [words_with_entropy[0] for words_with_entropy in words_with_entopies]\n", 251 | " return sorted_words" 252 | ] 253 | }, 254 | { 255 | "cell_type": "code", 256 | "execution_count": null, 257 | "metadata": {}, 258 | "outputs": [], 259 | "source": [ 260 | "def get_opener_list(word_list):\n", 261 | " if len(word_list) < min_clusters:\n", 262 | " return word_list\n", 263 | " word_list_vectors = [vectorise_word(word) for word in word_list]\n", 264 | " X = np.array(word_list_vectors)\n", 265 | " cluster_n = int(len(word_list) * cluster_groupping_rate)\n", 266 | " if cluster_n < min_clusters:\n", 267 | " cluster_n = min_clusters\n", 268 | " print(f\"clusters: {cluster_n}\")\n", 269 | " km = KMeans(\n", 270 | " n_clusters=cluster_n, init='random',\n", 271 | " n_init=10, max_iter=600, \n", 272 | " tol=1e-04, random_state=0,\n", 273 | " algorithm='full'\n", 274 | " )\n", 275 | " y_km = km.fit_predict(X)\n", 276 | " clusters = []\n", 277 | " for i in range(0, cluster_n):\n", 278 | " clusters.append([])\n", 279 | " for i in range(0, len(y_km)):\n", 280 | " word = word_list[i]\n", 281 | " cluster_index = y_km[i]\n", 282 | " clusters[cluster_index].append(word)\n", 283 | " new_word_list = []\n", 284 | " for cluster_words in clusters:\n", 285 | " best_words = sort_words_with_entropy(cluster_words)\n", 286 | " # best_words = sort_words_with_letter_positional_prob(cluster_words)\n", 287 | " if len(best_words[0]) == 5 and len(all_original_wordle_words) > 0:\n", 288 | " for best_word in best_words:\n", 289 | " if best_word in all_original_wordle_words:\n", 290 | " new_word_list.append(best_word)\n", 291 | " break\n", 292 | " else:\n", 293 | " new_word_list.append(best_words[0])\n", 294 | " return new_word_list" 295 | ] 296 | }, 297 | { 298 | "cell_type": "code", 299 | "execution_count": null, 300 | "metadata": {}, 301 | "outputs": [], 302 | "source": [ 303 | "for length in words_by_length_dict.keys():\n", 304 | " print(f\"word length: {length}\\tnumber of words: {len(words_by_length_dict[length])}\")" 305 | ] 306 | }, 307 | { 308 | "cell_type": "code", 309 | "execution_count": null, 310 | "metadata": {}, 311 | "outputs": [], 312 | "source": [ 313 | "opener_lists_by_length = {}\n", 314 | "\n", 315 | "for length in words_by_length_dict.keys():\n", 316 | " print(f\"processing word length {length}\")\n", 317 | " opener_lists_by_length[length] = get_opener_list(words_by_length_dict[length])" 318 | ] 319 | }, 320 | { 321 | "cell_type": "code", 322 | "execution_count": null, 323 | "metadata": {}, 324 | "outputs": [], 325 | "source": [ 326 | "full_opener_list = []\n", 327 | "\n", 328 | "for length in opener_lists_by_length.keys():\n", 329 | " full_opener_list += opener_lists_by_length[length]" 330 | ] 331 | }, 332 | { 333 | "cell_type": "code", 334 | "execution_count": null, 335 | "metadata": {}, 336 | "outputs": [], 337 | "source": [ 338 | "with open(target_opener_list_filename, \"w\") as f:\n", 339 | " f.write(\"\\n\".join([word for word in full_opener_list]))" 340 | ] 341 | } 342 | ], 343 | "metadata": { 344 | "interpreter": { 345 | "hash": "c29844a0a6289b07ec9bd49bfbf82b25be0a16fcb62431206df354e3cda954d5" 346 | }, 347 | "kernelspec": { 348 | "display_name": "Python 3.8.5 ('base')", 349 | "language": "python", 350 | "name": "python3" 351 | }, 352 | "language_info": { 353 | "codemirror_mode": { 354 | "name": "ipython", 355 | "version": 3 356 | }, 357 | "file_extension": ".py", 358 | "mimetype": "text/x-python", 359 | "name": "python", 360 | "nbconvert_exporter": "python", 361 | "pygments_lexer": "ipython3", 362 | "version": "3.8.5" 363 | }, 364 | "orig_nbformat": 4 365 | }, 366 | "nbformat": 4, 367 | "nbformat_minor": 2 368 | } 369 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | flask>=2.0.2 2 | gunicorn>=20.1.0 -------------------------------------------------------------------------------- /utility.py: -------------------------------------------------------------------------------- 1 | 2 | class Utility(): 3 | 4 | def load_word_list(word_list_file_path:str, word_length:int=5, exclude_plurals:bool=True): 5 | english_words = [word.replace("\r", "").replace("\n", "") for word in open(word_list_file_path).readlines()] 6 | word_list = [word for word in english_words if len(word) == word_length] 7 | if exclude_plurals: 8 | word_list = [word for word in word_list if (word[-1] != "s" or word.endswith("ss"))] 9 | return word_list 10 | 11 | def load_word_socres_dict(word_socre_file_path: str): 12 | word_score_lines = [line.split("\t") for line in open(word_socre_file_path, "r").readlines()] 13 | word_score_dict = {} 14 | for (word, score) in word_score_lines: 15 | word_score_dict[word] = float(score.replace("\r", "").replace("\n", "")) 16 | return word_score_dict 17 | -------------------------------------------------------------------------------- /wordle_game.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | import argparse 4 | import string 5 | import random 6 | from utility import Utility 7 | 8 | class WordleGame: 9 | 10 | def __init__(self, word_list_file_path: str = None, word_length : int = 5, exclude_plurals:bool=True): 11 | self.word_list = [] 12 | self.hidden_word = None 13 | self.word_list_file_path = word_list_file_path 14 | self.word_length = word_length 15 | self.exclude_plurals = exclude_plurals 16 | if self.word_list_file_path is not None: 17 | self.word_list = Utility.load_word_list(self.word_list_file_path, self.word_length, self.exclude_plurals) 18 | 19 | def are_characters_valid(self, word) -> bool: 20 | if len(word) != self.word_length: 21 | return False 22 | for character in word: 23 | if character not in string.ascii_lowercase: 24 | return False 25 | return True 26 | 27 | def pick_a_hidden_word_randomly(self): 28 | if len(self.word_list) <= 0: 29 | raise Exception("The word list is empty") 30 | hidden_word_index = random.randrange(0, len(self.word_list)) 31 | self.hidden_word = self.word_list[hidden_word_index] 32 | 33 | 34 | def guess(self, guessed_word) -> str: 35 | if not self.hidden_word: 36 | self.pick_a_hidden_word_randomly() 37 | 38 | if not self.are_characters_valid(guessed_word): 39 | raise Exception("Invalid input") 40 | 41 | guessed_word_letters = [letter for letter in guessed_word] 42 | output_symbols = ["!"] * self.word_length 43 | hidden_word_letters = [letter for letter in self.hidden_word] 44 | 45 | for i in range(0, self.word_length): 46 | if guessed_word_letters[i] == hidden_word_letters[i]: 47 | output_symbols[i] = "+" 48 | hidden_word_letters[i] = " " 49 | 50 | for i in range(0, self.word_length): 51 | if output_symbols[i] != "!": 52 | continue 53 | if guessed_word_letters[i] in hidden_word_letters: 54 | letter_index_in_hidden_word = hidden_word_letters.index(guessed_word_letters[i]) 55 | hidden_word_letters[letter_index_in_hidden_word] = " " 56 | output_symbols[i] = "?" 57 | else: 58 | output_symbols[i] = "_" 59 | 60 | if "!" in output_symbols: 61 | raise Exception(f"Error in generating output symbols for {guessed_word} (hidden: {self.hidden_word}): {''.join(output_symbols)}") 62 | 63 | return "".join(output_symbols) 64 | 65 | 66 | if __name__ == "__main__": 67 | 68 | 69 | argParser = argparse.ArgumentParser() 70 | 71 | argParser.add_argument("--length", help="The length (number of letters) of the hidden word", required=False, default=5, type=int) 72 | argParser.add_argument("--plurals", help="Do not exclude plurals when loading from the word list", required=False, default=False, type=bool) 73 | argParser.add_argument("--maxguess", help="The number of guesses allowed", required=False, default=6, type=int) 74 | 75 | args = argParser.parse_args() 76 | 77 | wordle = WordleGame("english_words_10k_mit.txt", args.length, not args.plurals) 78 | 79 | correct_guess_output = "+" * wordle.word_length 80 | max_guess = args.maxguess 81 | 82 | print("The WORDLE game CLI") 83 | print(f"(Word length: {wordle.word_length}; Plurals: {'Yes' if not wordle.exclude_plurals else 'No'}; Max guesses: {max_guess})") 84 | print("Press CTRL+C to exit\n") 85 | print("Meanings of symbols:") 86 | print(" +\tletter in the word and in the right spot") 87 | print(" ?\tletter in the word but in a wrong spot") 88 | print(" _\tletter not in the word\n") 89 | 90 | guess = 0 91 | 92 | while True: 93 | print(f"Guess the hidden word of {wordle.word_length} letters") 94 | user_input = input() 95 | if not wordle.are_characters_valid(user_input): 96 | print("Sorry, your input is invalid.") 97 | continue 98 | if user_input not in wordle.word_list: 99 | print("Sorry, your input is not on the word list") 100 | continue 101 | output = wordle.guess(user_input) 102 | reset = False 103 | guess += 1 104 | if output == correct_guess_output: 105 | print(f"Congrats, your guess is correct: {wordle.hidden_word} ({guess}/{max_guess})") 106 | reset = True 107 | else: 108 | if guess >= max_guess: 109 | print(f"Sorry, the hidden word is: {wordle.hidden_word}") 110 | reset = True 111 | else: 112 | print(output + f" ({guess}/{max_guess})") 113 | 114 | if reset: 115 | wordle.pick_a_hidden_word_randomly() 116 | print("A new hidden word has been picked") 117 | guess = 0 118 | -------------------------------------------------------------------------------- /wordle_response_example.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jason-chao/wordle-solver/c13bad525b815e6605e154c439dd7ea8d25eacdb/wordle_response_example.png -------------------------------------------------------------------------------- /wordle_solver.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | import string 4 | import sys 5 | 6 | import argparse 7 | from typing import List 8 | 9 | from utility import Utility 10 | from dataclasses import dataclass 11 | 12 | 13 | @dataclass 14 | class SuggestedWordsResults: 15 | words:List[str] 16 | word_list_file_path:str = None 17 | 18 | 19 | class WorldSolverMultiList: 20 | 21 | def __init__(self, word_list_file_paths: list = [], word_length : int = 5, exclude_plurals:bool=True, word_socres:dict={}, order_words_by_score_desc:bool=False, word_symbol_combinations:dict={}): 22 | self.word_lists = [] 23 | self.word_list_file_paths = word_list_file_paths 24 | self.word_length = word_length 25 | self.exclude_plurals = exclude_plurals 26 | self.word_socres = word_socres 27 | self.max_try_indexes_for_lists = [] 28 | self.order_words_by_score_desc = order_words_by_score_desc 29 | self.word_symbol_combinations = word_symbol_combinations 30 | for file_path in self.word_list_file_paths: 31 | word_list = Utility.load_word_list(file_path, self.word_length, self.exclude_plurals) 32 | self.word_lists.append(word_list) 33 | self.reset() 34 | pass 35 | 36 | 37 | def reset(self): 38 | self.tries = [] 39 | self.solvers = [] 40 | for word_list in self.word_lists: 41 | solver = WordleSolver(None, self.word_length, self.exclude_plurals) 42 | solver.word_list = word_list 43 | solver.word_socres = self.word_socres 44 | solver.order_words_by_descending_socre = self.order_words_by_score_desc 45 | solver.word_symbol_combinations = self.word_symbol_combinations 46 | self.solvers.append(solver) 47 | pass 48 | 49 | 50 | def reset_pattern_parameters(self): 51 | for solver in self.solvers: 52 | solver.reset() 53 | pass 54 | 55 | 56 | def get_pattern_parameter_conflicts(self): 57 | if len(self.solvers) > 0: 58 | # conflict check results should be the identical across solvers. 59 | # it is alright to return conflicts detected from the first sovler only 60 | return self.solvers[0].get_pattern_parameter_conflicts() 61 | raise Exception("No solvers") 62 | 63 | 64 | def update_pattern_paramters(self): 65 | for solver in self.solvers: 66 | solver.tries = self.tries 67 | solver.update_pattern_paramters() 68 | pass 69 | 70 | 71 | def input_guess_result(self, word, result_symbols): 72 | for solver in self.solvers: 73 | solver.input_guess_result(word, result_symbols) 74 | self.tries.append((word, result_symbols)) 75 | pass 76 | 77 | 78 | def get_suggested_words(self) -> SuggestedWordsResults: 79 | for i in range(0, len(self.solvers)): 80 | if len(self.max_try_indexes_for_lists) >= len(self.solvers): 81 | if len(self.tries) >= self.max_try_indexes_for_lists[i]: 82 | continue 83 | suggested_words = self.solvers[i].get_suggested_words() 84 | if len(suggested_words) > 0: 85 | return SuggestedWordsResults(suggested_words, self.word_list_file_paths[i]) 86 | last_word_list_file_path = None if len(self.word_list_file_paths) <= 0 else self.word_list_file_paths[-1] 87 | return SuggestedWordsResults([], last_word_list_file_path) 88 | 89 | 90 | def set_excluded_words(self, excluded_words:list): 91 | for solver in self.solvers: 92 | solver.excluded_words = excluded_words 93 | pass 94 | 95 | 96 | class WordleSolver(): 97 | 98 | def __init__(self, word_list_file_path: str = None, word_length : int = 5, exclude_plurals:bool=True): 99 | self.permitted_input_symbols = "+?_" 100 | self.word_list = [] 101 | self.word_socres = {} 102 | self.word_symbol_combinations = {} 103 | self.symbol_anyletter = "*" 104 | self.effective_word_list = [] 105 | self.word_list_file_path = word_list_file_path 106 | self.word_length = word_length 107 | self.exclude_plurals = exclude_plurals 108 | self.order_words_by_descending_socre = False 109 | if self.word_list_file_path is not None: 110 | self.word_list = Utility.load_word_list(self.word_list_file_path, self.word_length, self.exclude_plurals) 111 | self.reset() 112 | 113 | def reset(self): 114 | self.tries = [] 115 | self.reset_pattern_parameters() 116 | 117 | 118 | def reset_pattern_parameters(self): 119 | self.included_letters = "" 120 | self.excluded_letters = "" 121 | self.high_prob_letters = "" 122 | self.wrong_spot_pattern = [""] * self.word_length 123 | self.right_spot_pattern = self.symbol_anyletter * self.word_length 124 | self.max_letter_occurrence = {} 125 | self.excluded_words = [] 126 | self.effective_word_list = [] 127 | 128 | 129 | def get_pattern_parameter_conflicts(self): 130 | conflicts = [] 131 | for letter in self.excluded_letters: 132 | if letter in self.included_letters + self.high_prob_letters: 133 | conflicts.append((letter, "excluded letter found in inclusion list")) 134 | if letter in self.right_spot_pattern: 135 | conflicts.append((letter, "excluded letter found in right spot pattern")) 136 | for i in range(0, self.word_length): 137 | if self.right_spot_pattern[i] in self.wrong_spot_pattern[i]: 138 | conflicts.append((letter, "letter in right spot found in wrong spot pattern")) 139 | return conflicts 140 | 141 | 142 | def update_pattern_paramters(self): 143 | self.reset_pattern_parameters() 144 | possible_word_lists = [] 145 | for (word, symbol_pattern) in self.tries: 146 | for i in range(0, self.word_length): 147 | if symbol_pattern[i] in ["+", "?"]: 148 | self.included_letters += word[i] 149 | if symbol_pattern[i] == "+": 150 | right_spot_pattern_list = list(self.right_spot_pattern) 151 | right_spot_pattern_list[i] = word[i] 152 | self.right_spot_pattern = "".join(right_spot_pattern_list) 153 | elif symbol_pattern[i] == "?": 154 | self.wrong_spot_pattern[i] += word[i] 155 | elif symbol_pattern[i] == "_": 156 | if word[i] not in self.included_letters: 157 | self.excluded_letters += word[i] 158 | else: 159 | if word[i] not in self.max_letter_occurrence: 160 | self.max_letter_occurrence[word[i]] = sum([1 for letter in word[:i] if letter == word[i]]) + sum([1 for letter in word[(i+1):] if letter == word[i]]) 161 | if word in self.word_symbol_combinations: 162 | if symbol_pattern in self.word_symbol_combinations[word]: 163 | possible_word_lists.append(self.word_symbol_combinations[word][symbol_pattern]) 164 | self.included_letters = "".join(set(self.included_letters)) 165 | self.excluded_letters = "".join(set([letter for letter in self.excluded_letters if letter not in self.included_letters])) 166 | self.wrong_spot_pattern = ["".join(set(pattern)) for pattern in self.wrong_spot_pattern] 167 | if len(possible_word_lists) > 0: 168 | effective_words_set = [] 169 | for possible_word_list in possible_word_lists: 170 | effective_words_set += possible_word_list 171 | effective_words_set = list(set(effective_words_set)) 172 | self.effective_word_list = [word for word in effective_words_set if all([word in word_list for word_list in possible_word_lists])] 173 | pass 174 | 175 | 176 | def get_letter_prob_dict(self, word_list): 177 | if len(word_list) <= 0: 178 | return [] 179 | 180 | letter_freq_dict = {} 181 | for letter in string.ascii_lowercase: 182 | letter_freq_dict[letter] = 0 183 | 184 | for word in word_list: 185 | for letter in word: 186 | letter_freq_dict[letter] += 1 187 | 188 | letter_prob_dict = {} 189 | total_letters = sum([len(word) for word in word_list]) 190 | 191 | for letter in letter_freq_dict.keys(): 192 | letter_prob_dict[letter] = (letter_freq_dict[letter] / total_letters) 193 | 194 | return letter_prob_dict 195 | 196 | 197 | def get_suggested_letters_by_freq(self, possible_words): 198 | if len(possible_words) <= 0: 199 | return [] 200 | letter_freqs = [(letter, prob) for _, (letter, prob) in enumerate(self.get_letter_prob_dict(possible_words).items()) if letter not in self.included_letters + self.excluded_letters + self.high_prob_letters] 201 | return letter_freqs 202 | 203 | 204 | def get_letter_positional_prob_dict(self, words): 205 | positional_prob = [] 206 | for i in range(0, len(self.right_spot_pattern)): 207 | if self.right_spot_pattern[i] == self.symbol_anyletter: 208 | letter_list = [word[i] for word in words] 209 | positional_prob.append(self.get_letter_prob_dict(letter_list)) 210 | else: 211 | positional_prob.append({}) 212 | return positional_prob 213 | 214 | 215 | def sort_words_with_letter_positional_prob(self, words): 216 | letter_position_prob = self.get_letter_positional_prob_dict(words) 217 | words_with_prob = [] 218 | for word in words: 219 | score = 1 220 | for i in range(0, len(letter_position_prob)): 221 | if letter_position_prob[i]: 222 | score *= letter_position_prob[i][word[i]] 223 | words_with_prob.append((word, score)) 224 | words_with_prob.sort(key=lambda element: element[1], reverse=True) 225 | return words_with_prob 226 | 227 | 228 | def sort_words(self, words): 229 | sorted_words = [] 230 | if len(self.word_socres) > 0: 231 | if all([word in self.word_socres for word in words]): 232 | words_with_socres = [(word, self.word_socres[word]) for word in words] 233 | words_with_socres.sort(key=lambda element: element[1], reverse=self.order_words_by_descending_socre) 234 | sorted_words = [word for (word, _) in words_with_socres] 235 | if len(sorted_words) <= 0: 236 | sorted_words = [word_with_prob[0] for word_with_prob in self.sort_words_with_letter_positional_prob(words)] 237 | return sorted_words 238 | 239 | 240 | def is_not_in_word(self, word): 241 | return all([letter not in word for letter in self.excluded_letters]) 242 | 243 | def is_in_word(self, word): 244 | return all([letter in word for letter in self.included_letters + self.high_prob_letters]) 245 | 246 | def is_not_tried(self, word): 247 | return word not in self.tries 248 | 249 | def match_right_spot_pattern(self, word): 250 | for i in range(0, len(self.right_spot_pattern)): 251 | if self.right_spot_pattern[i] == self.symbol_anyletter: 252 | continue 253 | elif self.right_spot_pattern[i] != word[i]: 254 | return False 255 | return True 256 | 257 | 258 | def get_possible_words(self): 259 | if len(self.effective_word_list) <= 0: 260 | self.effective_word_list = self.word_list 261 | all_excluded_words = list(set([attempt[0] for attempt in self.tries] + self.excluded_words)) 262 | first_level_filter = [word for word in self.effective_word_list if self.is_in_word(word) and self.is_not_in_word(word) and self.is_not_tried(word) and word not in all_excluded_words] 263 | second_level_filter = [word for word in first_level_filter if all([word[i] not in self.wrong_spot_pattern[i] for i in range(0, self.word_length)])] 264 | third_level_filter = [word for word in second_level_filter if self.match_right_spot_pattern(word)] 265 | if len(self.max_letter_occurrence) <= 0: 266 | return third_level_filter 267 | else: 268 | for letter in self.max_letter_occurrence.keys(): 269 | fourth_level_filter = [word for word in third_level_filter if sum([1 for l in word if l == letter]) <= self.max_letter_occurrence[letter]] 270 | return fourth_level_filter 271 | 272 | 273 | def get_suggested_words(self): 274 | all_possible_words = self.get_possible_words() 275 | if len(all_possible_words) <= 0: 276 | return [] 277 | unknown_letter_count = self.word_length - len(self.included_letters) 278 | suggested_letters_with_prob = self.get_suggested_letters_by_freq(all_possible_words) 279 | if len(suggested_letters_with_prob) <= 0: 280 | return [] 281 | suggested_letters_with_prob.sort(key=lambda element: element[1], reverse=True) 282 | suggested_letters = list([letter for (letter, prob) in suggested_letters_with_prob]) 283 | for i in range(unknown_letter_count, 0, -1): 284 | self.high_prob_letters = suggested_letters[:i] 285 | self.update_pattern_paramters() 286 | suggested_words = self.get_possible_words() 287 | self.high_prob_letters = "" 288 | if len(suggested_words) > 0: 289 | suggested_words = self.sort_words(suggested_words) 290 | return suggested_words 291 | all_possible_words = self.sort_words(all_possible_words) 292 | return all_possible_words 293 | 294 | 295 | def input_guess_result(self, word, result_symbols): 296 | if len(word) != self.word_length or len(result_symbols) != self.word_length: 297 | raise Exception("Word length or symbol length is invalid") 298 | if not all([character in string.ascii_lowercase for character in word]): 299 | raise Exception("Word contains invalid character") 300 | if not all([symbol in self.permitted_input_symbols for symbol in result_symbols]): 301 | raise Exception("Symbols contains an invalid symbol") 302 | self.tries.append((word, result_symbols)) 303 | self.update_pattern_paramters() 304 | 305 | 306 | if __name__ == "__main__": 307 | 308 | argParser = argparse.ArgumentParser() 309 | 310 | argParser.add_argument("--length", help="The length (number of letters) of the hidden word", required=False, default=5, type=int) 311 | argParser.add_argument("--plurals", help="Do not exclude plurals when loading from the word list", required=False, default=False, type=bool) 312 | 313 | args = argParser.parse_args() 314 | 315 | word_list_file_paths = ["english_words_opener.txt", "english_words_full.txt"] 316 | 317 | solver_multi = WorldSolverMultiList(word_list_file_paths, args.length, not args.plurals) 318 | 319 | solver_multi.max_try_indexes_for_lists = [2, sys.maxsize] 320 | 321 | print("The WORDLE Solver CLI") 322 | print(f"(Word length: {args.length}; Plurals: {'Yes' if args.plurals else 'No'})") 323 | print("Press CTRL+C to exit\n") 324 | print("Meanings of symbols:") 325 | print(" +\tletter in the word and in the right spot (green box)") 326 | print(" ?\tletter in the word but in a wrong spot (orange box)") 327 | print(" _\tletter not in the word (grey box)\n") 328 | print("Commands:") 329 | print(" !done\t\tyou're done guessing a hidden word. this will reset the state of the solver for you to guess a new hidden word") 330 | print(" !tries\t\tsee the tries entered") 331 | print(" !remove_last\tremove the last try entered\n") 332 | 333 | first_run = True 334 | 335 | while True: 336 | print("Please enter you last try as word:symbols") 337 | user_input = input().lower() 338 | 339 | reset = False 340 | 341 | if ":" in user_input: 342 | values = user_input.split(":") 343 | if len(values) < 2: 344 | print("Invalid format") 345 | continue 346 | if not all([len(value) == solver_multi.word_length for value in values]): 347 | print("Invalid format: length of word or symbol is incorrect") 348 | continue 349 | if values[1] == "+" * solver_multi.word_length: 350 | print("Great!") 351 | reset = True 352 | else: 353 | solver_multi.input_guess_result(values[0], values[1]) 354 | conflicts = solver_multi.get_pattern_parameter_conflicts() 355 | if len(conflicts) > 0: 356 | for conflict in conflicts: 357 | print(f"{conflict[0]}: {conflict[1]}") 358 | solver_multi.tries = solver_multi.tries[:-1] 359 | print("Your last try has been removed") 360 | continue 361 | elif (user_input == "!done"): 362 | reset = True 363 | elif (user_input == "!remove_last"): 364 | solver_multi.tries = solver_multi.tries[:-1] 365 | print("Your last try has been removed") 366 | continue 367 | elif (user_input == "!tries"): 368 | if len(solver_multi.tries) <= 0: 369 | print("No tries entered") 370 | else: 371 | for i in range(0, len(solver_multi.tries)): 372 | print(f"\tTry {i}: {solver_multi.tries[i]}") 373 | continue 374 | else: 375 | print("Invalid input") 376 | 377 | 378 | if reset: 379 | solver_multi.reset() 380 | print("The state is reset") 381 | continue 382 | 383 | suggested_words = solver_multi.get_suggested_words() 384 | 385 | if len(suggested_words.words) > 0: 386 | print(f"Suggested words (from list '{suggested_words.word_list_file_path}'):") 387 | for suggestion in suggested_words.words[:10]: 388 | print(f"\t{suggestion}") 389 | else: 390 | print("Sorry, no other possible words. Please check the result symbols you entered.") 391 | -------------------------------------------------------------------------------- /wordle_solver_benchmark.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | from dataclasses import dataclass 4 | from typing import List 5 | import json 6 | import multiprocessing 7 | from multiprocessing import Pool 8 | import time 9 | import random 10 | import sys 11 | 12 | 13 | from wordle_game import WordleGame 14 | from wordle_solver import WorldSolverMultiList 15 | from utility import Utility 16 | 17 | 18 | @dataclass 19 | class Round: 20 | hidden_word: str 21 | guessed_times: int 22 | success: bool 23 | final_solver: str 24 | tries: List 25 | 26 | word_length = 5 27 | max_tries = 6 # sys.maxsize 28 | exclude_plurals = True 29 | logging_enabled = False 30 | first_guess = None 31 | enabled_multithreading = True 32 | 33 | all_correct_symbols = "+" * word_length 34 | 35 | opener_word_list_file_path = "english_words_opener.txt" 36 | full_word_list_file_path = "english_words_full.txt" 37 | wordle_original_word_list_file_path = "english_words_original_wordle.txt" 38 | 39 | word_list = [] 40 | 41 | opener_word_list = Utility.load_word_list(opener_word_list_file_path, word_length, exclude_plurals) 42 | full_word_list = Utility.load_word_list(full_word_list_file_path, word_length, exclude_plurals) 43 | 44 | 45 | multi_solver_word_lists = [opener_word_list, full_word_list] 46 | multi_solver_word_list_paths = [opener_word_list_file_path, full_word_list_file_path] 47 | max_try_indexes_for_lists = [2, sys.maxsize] 48 | 49 | 50 | def benchmark(word: str): 51 | game = WordleGame(None, word_length) 52 | this_round = Round(hidden_word=word, guessed_times=0, success=False, final_solver="simple", tries=[]) 53 | game.hidden_word = this_round.hidden_word 54 | solver_multi = WorldSolverMultiList() 55 | solver_multi.word_length = word_length 56 | solver_multi.word_lists = multi_solver_word_lists 57 | solver_multi.word_list_file_paths = multi_solver_word_list_paths 58 | solver_multi.max_try_indexes_for_lists = max_try_indexes_for_lists 59 | solver_multi.word_entropies = {} 60 | solver_multi.reset() 61 | if first_guess: 62 | guess = first_guess 63 | else: 64 | guess = solver_multi.get_suggested_words().words[0] 65 | while True: 66 | result_symbols = game.guess(guess) 67 | this_round.guessed_times += 1 68 | if result_symbols == all_correct_symbols: 69 | this_round.success = True 70 | break 71 | else: 72 | if this_round.guessed_times >= max_tries: 73 | break 74 | solver_multi.input_guess_result(guess, result_symbols) 75 | suggested_words_result = solver_multi.get_suggested_words() 76 | suggested_words = suggested_words_result.words 77 | this_round.final_solver = suggested_words_result.word_list_file_path 78 | if len(suggested_words) <= 0: 79 | break 80 | guess = suggested_words[0] 81 | this_round.tries = solver_multi.tries 82 | return this_round 83 | 84 | 85 | def do_benchmarking(file_path, n_samples:int=1000): 86 | chosen_word_list_file_path = file_path 87 | word_list = Utility.load_word_list(chosen_word_list_file_path, word_length, exclude_plurals) 88 | random.shuffle(word_list) 89 | 90 | start_time = time.time() 91 | 92 | if n_samples: 93 | if n_samples > 0: 94 | word_list = word_list[:n_samples] 95 | 96 | test_rounds = [] 97 | 98 | if enabled_multithreading: 99 | pool = Pool(multiprocessing.cpu_count()) 100 | test_rounds = pool.map(benchmark, word_list) 101 | else: 102 | test_rounds = list([benchmark(word) for word in word_list]) 103 | 104 | end_time = time.time() 105 | 106 | print(f"Benchmarking using {'all' if n_samples is None else n_samples} words of {word_length} letters ({'no' if exclude_plurals else 'with'} plurals) from {file_path} completed in {end_time - start_time}s") 107 | 108 | print("Solver word lists: " + " -> ".join(multi_solver_word_list_paths)) 109 | 110 | if logging_enabled: 111 | with open(f"benchmark_results_{chosen_word_list_file_path.replace('.', '_')}.json", "w") as file: 112 | file.write(json.dumps([round.__dict__ for round in test_rounds], indent=2)) 113 | 114 | average = sum([round.guessed_times for round in test_rounds]) / len(test_rounds) 115 | 116 | print(f"{len(test_rounds)} words - average: {average} tries") 117 | 118 | failed_words = [round.hidden_word for round in test_rounds if not round.success] 119 | print(f"Guessing failed within {max_tries} tries: {len(failed_words)} words") 120 | 121 | 122 | do_benchmarking(wordle_original_word_list_file_path) 123 | 124 | do_benchmarking(full_word_list_file_path) 125 | -------------------------------------------------------------------------------- /wordle_solver_webui_screenshot.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jason-chao/wordle-solver/c13bad525b815e6605e154c439dd7ea8d25eacdb/wordle_solver_webui_screenshot.png -------------------------------------------------------------------------------- /wordle_solver_wsgi.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | from flask import Flask, request, jsonify, make_response 4 | from dataclasses import dataclass 5 | import string 6 | import json 7 | import sys 8 | import random 9 | 10 | 11 | app = Flask(__name__) 12 | from wordle_solver import WorldSolverMultiList 13 | 14 | 15 | @dataclass 16 | class SolverAPIParameters: 17 | opener_word_list_file_path:str = "english_words_opener.txt" 18 | full_word_list_file_path:str = "english_words_full.txt" 19 | max_suggested_words:str = 10 20 | logging_enabled:bool = True 21 | 22 | 23 | def write_log(log): 24 | if SolverAPIParameters.logging_enabled: 25 | print(log) 26 | 27 | 28 | def handle_tries(ui_tries:list, word_length: int, exclude_plurals: bool=True, shuffle_suggested_words: bool=False, visit: str=None): 29 | if isinstance(ui_tries, list): 30 | tries = [(attempt["word"].lower(), attempt["symbols"]) for attempt in ui_tries if "word" in attempt and "symbols" in attempt] 31 | solver_multi = WorldSolverMultiList([SolverAPIParameters.opener_word_list_file_path, SolverAPIParameters.full_word_list_file_path], word_length=word_length, exclude_plurals=exclude_plurals) 32 | solver_multi.max_try_indexes_for_lists = [2, sys.maxsize] 33 | if any([True for attempt in tries if any([True for letter in attempt[0] if letter not in string.ascii_lowercase])]): 34 | write_log(json.dumps({"error":"invalid_chars", "request": ui_tries})) 35 | return make_response(jsonify(message="Invalid character(s) detected in words"), 400) 36 | if any([True for attempt in tries if any([True for symbol in attempt[1] if symbol not in solver_multi.solvers[0].permitted_input_symbols])]): 37 | write_log(json.dumps({"error":"invalid_symbols", "request": ui_tries})) 38 | return make_response(jsonify(message="Invalid symbol(s) detected in symbols"), 400) 39 | if sum([1 for attempt in tries if len(attempt[0]) == word_length and len(attempt[1]) == word_length]) != len(tries): 40 | write_log(json.dumps({"error":"invalid_lengths", "request": ui_tries})) 41 | return make_response(jsonify(message="Invalid length for word(s) or symbol(s)"), 400) 42 | solver_multi.tries = tries 43 | solver_multi.update_pattern_paramters() 44 | suggested_words_results = solver_multi.get_suggested_words() 45 | suggested_words = suggested_words_results.words[:SolverAPIParameters.max_suggested_words] 46 | if shuffle_suggested_words: 47 | random.shuffle(suggested_words) 48 | write_log(json.dumps({"error":None, "request": ui_tries, "response": suggested_words, "visitId": visit})) 49 | return jsonify(word_list=suggested_words_results.word_list_file_path, 50 | suggested_words=suggested_words) 51 | write_log(json.dumps({"error":"wrong_parameter_type", "request": ui_tries, "visitId": visit})) 52 | return make_response(jsonify(message="Invalid request"), 400) 53 | 54 | 55 | def entrypoint_cloudfunction(flask_request): 56 | if request.method == "OPTIONS": 57 | cors_headers = { 58 | "Access-Control-Allow-Origin": "*", 59 | "Access-Control-Allow-Methods": "POST", 60 | "Access-Control-Allow-Headers": "Content-Type", 61 | "Access-Control-Max-Age": "3600" 62 | } 63 | return ("", 204, cors_headers) 64 | word_length = 5 65 | exclude_plurals=True 66 | shuffle_suggested_words=False 67 | visitId = None 68 | if flask_request.args: 69 | if "wordlength" in flask_request.args: 70 | word_length = int(flask_request.args.get("wordlength")) 71 | if "plurals" in flask_request.args: 72 | exclude_plurals = not (flask_request.args.get("plurals") == "true") 73 | if "shuffle" in flask_request.args: 74 | shuffle_suggested_words = (flask_request.args.get("shuffle") == "true") 75 | if "visit" in flask_request.args: 76 | visitId = flask_request.args.get("visit") 77 | ui_tries = flask_request.get_json() 78 | http_response = handle_tries(ui_tries=ui_tries, word_length=word_length, exclude_plurals=exclude_plurals, shuffle_suggested_words=shuffle_suggested_words, visit=visitId) 79 | http_response.headers["Access-Control-Allow-Origin"] = "*" 80 | return http_response 81 | 82 | 83 | @app.route("/", methods=["POST", "OPTIONS"]) 84 | def entrypoint_flask(): 85 | return entrypoint_cloudfunction(request) 86 | 87 | 88 | if __name__ == "__main__": 89 | app.run(host="0.0.0.0", port=7210) 90 | --------------------------------------------------------------------------------