1 // generated by fakerjsgenerator 2 3 /// 4 module faked.base; 5 6 import std.datetime; 7 import std.exception : enforce; 8 9 struct Currency { 10 @safe: 11 string name; 12 string code; 13 string symbol; 14 15 @property bool empty() const { 16 return name.length == 0; 17 } 18 } 19 20 /// 21 struct BBan { 22 string type; 23 long count; 24 } 25 26 /// 27 struct IbanFormat { 28 string country; 29 long total; 30 BBan[] bban; 31 string format; 32 } 33 34 /// 35 struct IbanData { 36 dchar[] alpha; 37 string[] pattern10; 38 string[] pattern100; 39 IbanFormat[] formats; 40 string[] iso3166; 41 } 42 43 /// 44 class Faker { 45 @safe: 46 import std.random; 47 import std.array; 48 import std.format; 49 import std.conv : to; 50 import std.string : toUpper; 51 import std.range : iota, take, repeat; 52 import std.algorithm : map, joiner; 53 54 /// 55 Random rnd; 56 57 /// 58 this(int seed) { 59 this.rnd = Random(seed); 60 } 61 62 /// 63 string addressLatitude() { 64 return to!string(uniform(-90.0, 90.0, this.rnd)); 65 } 66 67 /// 68 string addressLongitude() { 69 return to!string(uniform(-90.0, 90.0, this.rnd)); 70 } 71 72 /// 73 string financeAccount(size_t length = 8) { 74 string s; 75 foreach(i; 0 .. length) { 76 s ~= "#"; 77 } 78 return digitBuild(s); 79 } 80 81 /// 82 string financeRoutingNumber() { 83 import std.conv : to; 84 import std.math : ceil; 85 auto routingNumber = digitBuild("########"); 86 87 // Modules 10 straight summation. 88 size_t sum = 0; 89 90 for(size_t i = 0; i < routingNumber.length; i += 3) { 91 sum += to!size_t(routingNumber[i]) * 3; 92 sum += to!size_t(routingNumber[i + 1]) * 7; 93 if(i + 2 < routingNumber.length) { 94 sum += to!size_t(routingNumber[i + 2]); 95 } else { 96 sum += 0; 97 } 98 } 99 100 return routingNumber ~ to!string((ceil(sum / 10.0) * 10 - sum)); 101 } 102 103 /// 104 string financeMask(size_t length = 4, bool parents = true, 105 bool ellipsis = true) 106 { 107 import std.algorithm : joiner; 108 import std.conv : to; 109 string tmp = ""; 110 111 for(size_t i = 0; i < length; i++) { 112 tmp ~= '#'; 113 } 114 115 //prefix with ellipsis 116 tmp = ellipsis ? ["...", tmp].joiner("").to!string() : tmp; 117 118 tmp = parents ? ["(", tmp, ")"].joiner("").to!string() : tmp; 119 120 //generate random numbers 121 tmp = digitBuild(tmp); 122 123 return tmp; 124 } 125 126 /// 127 string financeBitcoinAddress() { 128 import std.conv : to; 129 static enum data = 130 to!(dchar[])( 131 "123456789abcdefghijkmnopqrstuvwxyzABCDEFGHIJKLMNPQRSTUVWXYZ" 132 ); 133 134 string ret = to!string(choice([1, 3], this.rnd)); 135 foreach(it; 0 .. choice([25,35], this.rnd)) { 136 ret ~= choice(data, this.rnd); 137 } 138 return ret; 139 } 140 141 /// 142 string loremSentance(size_t length = size_t.max) { 143 import std.algorithm : copy; 144 length = length == size_t.max || length == 0 145 ? uniform(3, 10, this.rnd) 146 : length; 147 auto app = appender!string(); 148 copy(iota(length).map!(a => loremWords).joiner(" "), app); 149 //foreach(it; 0 .. length) { 150 // app.put(loremWords()); 151 // app.put(" "); 152 //} 153 switch(uniform(0, 15, this.rnd)) { 154 case 0: app.put("!"); break; 155 case 1: app.put("?"); break; 156 default: app.put("."); break; 157 } 158 159 string ret = app.data; 160 string f = to!string(toUpper(ret.front)); 161 ret.popFront(); 162 return f ~ ret; 163 } 164 165 /// 166 string loremSentances(size_t length = size_t.max) { 167 import std.algorithm : map, joiner; 168 import std.range : iota; 169 import std.conv : to; 170 length = length == size_t.max || length == 0 171 ? uniform(2, 6, this.rnd) 172 : length; 173 174 return iota(length) 175 .map!(a => loremSentance()) 176 .joiner(" ") 177 .to!string(); 178 } 179 180 /// 181 string loremParagraph(size_t length = size_t.max) { 182 length = length == size_t.max || length == 0 183 ? uniform(2, 6, this.rnd) 184 : length; 185 186 return loremSentances(length + uniform(0, 3, this.rnd)); 187 } 188 189 /// 190 string loremParagraphs(size_t length = size_t.max) { 191 import std.algorithm : map, joiner; 192 import std.range : iota; 193 194 length = length == size_t.max || length == 0 195 ? uniform(2, 6, this.rnd) 196 : length; 197 return iota(length) 198 .map!(a => loremParagraph()) 199 .joiner("\n") 200 .to!string(); 201 } 202 203 /// 204 string loremText(size_t length = size_t.max) { 205 length = length == size_t.max || length == 0 206 ? uniform(2, 6, this.rnd) 207 : length; 208 209 auto app = appender!string(); 210 foreach(it; 0 .. length) { 211 switch(uniform(0, 4, this.rnd)) { 212 case 0: 213 app.put(loremWords()); 214 continue; 215 case 1: 216 app.put(loremParagraph()); 217 continue; 218 case 2: 219 app.put(loremSentance()); 220 continue; 221 case 3: 222 app.put(loremSentances()); 223 continue; 224 default: 225 assert(false); 226 } 227 } 228 229 return app.data(); 230 } 231 232 /// 233 string phoneNumber() { 234 return this.digitBuild(this.phoneNumberFormats()); 235 } 236 237 /// 238 string companyCatchPhrase() { 239 return companyAdjective() ~ " " 240 ~ companyDescriptor() ~ " " 241 ~ companyNoun(); 242 } 243 244 // 245 string companyBs() { 246 return companyBsVerb() ~ " " ~ companyBsAdjective() ~ " " ~ 247 companyBsNoun(); 248 } 249 250 /// 251 string internetUserName(string firstname = "", string lastname = "") { 252 firstname = firstname.empty ? this.nameFirstName() : firstname; 253 lastname = lastname.empty ? this.nameLastName() : lastname; 254 255 string ret; 256 257 switch(uniform(0, 3, this.rnd)) { 258 case 0: 259 ret = firstname ~ to!string(uniform(0, 100, this.rnd)); 260 break; 261 case 1: 262 ret = firstname ~ choice([".", "_"], this.rnd) ~ lastname; 263 break; 264 case 2: 265 ret = firstname ~ choice([".", "_"], this.rnd) ~ lastname 266 ~ to!string(uniform(0, 100, this.rnd)); 267 break; 268 default: 269 assert(false); 270 } 271 272 return ret.replace("'", "").replace(" ", ""); 273 } 274 275 /// 276 string internetProtocol() { 277 return choice(["http", "https"], this.rnd); 278 } 279 280 /// 281 string internetDomainWord() { 282 import std.uni : isAlphaNum; 283 import std.utf : byDchar; 284 import std.algorithm : filter; 285 286 return this.nameFirstName() 287 .byDchar() 288 .filter!(a => isAlphaNum(a)) 289 .to!string(); 290 } 291 292 /// 293 string internetDomainName() { 294 return this.internetDomainWord() ~ "." ~ this.internetDomainSuffix(); 295 } 296 297 /// 298 string internetUrl() { 299 return this.internetProtocol() ~ "://" ~ this.internetDomainName(); 300 } 301 302 /// 303 string internetIPv4() { 304 int[4] t; 305 foreach(i; 0 .. t.length) { 306 t[i] = uniform(0, 256, this.rnd); 307 } 308 309 return t[].map!(a => to!string(a)).joiner(".").to!string(); 310 } 311 312 /// 313 string internetIPv6() { 314 static enum elem = ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9", 315 "a", "b", "c", "d", "e", "f"]; 316 317 return iota(8) 318 .map!(a => randomCover(elem, this.rnd).take(4).to!string()) 319 .joiner(".") 320 .to!string(); 321 } 322 323 /// 324 string internetColor(int baseRed255 = 0, int baseGreen255 = 0, 325 int baseBlue255 = 0) 326 { 327 int red = to!int((uniform(0, 256, this.rnd) + baseRed255) / 2); 328 int green = to!int((uniform(0, 256, this.rnd) + baseGreen255) / 2); 329 int blue = to!int((uniform(0, 256, this.rnd) + baseBlue255) / 2); 330 string redStr = red.to!string(16); 331 string greenStr = green.to!string(16); 332 string blueStr = blue.to!string(16); 333 return "#" ~ 334 (redStr.length == 1 ? "0" : "") ~ redStr ~ 335 (greenStr.length == 1 ? "0" : "") ~ greenStr ~ 336 (blueStr.length == 1 ? "0": "") ~ blueStr; 337 } 338 339 /// 340 string internetPassword(bool strong = false) { 341 return strong ? "Password" : "password"; 342 } 343 344 /// 345 string vehicle() { 346 return this.vehicleManufacturer() ~ " " ~ this.vehicleModel(); 347 } 348 349 /// 350 string vehicleVin() { 351 return (this.helperAlphaNum(10) ~ this.helperAlpha(1, true) 352 ~ this.helperAlphaNum(1) 353 ~ to!string(uniform(10000, 100000, this.rnd)) 354 ).toUpper(); 355 } 356 357 /// 358 string helperAlpha(size_t count = 1, bool upperCase = false) @trusted { 359 static enum data = to!(dchar[])(['a', 'b', 'c', 'd', 'e', 'f', 'g', 360 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 361 'u', 'v', 'w', 'x', 'y', 'z']); 362 363 return iota(count).map!(a => choice(data, this.rnd)).to!string(); 364 } 365 366 /// 367 string helperAlphaNum(size_t count = 1) @trusted { 368 static enum data = to!(dchar[])(['0', '1', '2', '3', '4', '5', '6', '7', 369 '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 370 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 371 'y', 'z']); 372 return iota(count).map!(a => choice(data, this.rnd)).to!string(); 373 } 374 375 /// 376 string helperHexaDecimal(size_t count = 1) @trusted { 377 static enum data = to!(dchar[])(['0', '1', '2', '3', '4', '5', '6', 378 '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'A', 'B', 'C', 'D', 379 'E', 'F']); 380 381 return iota(count).map!(a => choice(data, this.rnd)).to!string(); 382 } 383 384 /// 385 string passportNumber() { 386 return helperHexaDecimal(9); 387 } 388 389 /// 390 DateTime datePast(size_t years = 10, DateTime refDate = 391 cast(DateTime)Clock.currTime()) 392 { 393 return refDate + dur!"minutes"(-uniform(0, years * 365 * 24 * 60, 394 this.rnd)); 395 } 396 397 /// 398 DateTime dateFuture(size_t years = 10, DateTime refDate = 399 cast(DateTime)Clock.currTime()) 400 { 401 return refDate + dur!"minutes"(uniform(0, years * 365 * 24 * 60, 402 this.rnd)); 403 } 404 405 /// 406 DateTime dateBetween(DateTime begin, DateTime end) { 407 enforce(begin <= end, "begin must be <= end"); 408 Duration d = end - begin; 409 long hours = d.total!"hours"(); 410 return begin + dur!("hours")(uniform(0, hours, this.rnd)); 411 } 412 413 /// 414 string ukNationalInsuranceNumber() { 415 auto app = appender!string(); 416 417 static enum data = 418 to!(dchar[])( 419 "ABCEGHJKLMNPRSTUWXYZ" 420 ); 421 422 static enum suffix = 423 to!(dchar[])( 424 "ABCD" 425 ); 426 427 formattedWrite(app, "%s%s", choice(data, this.rnd), choice(data, this.rnd)); 428 formattedWrite(app, "%06d", uniform(0, 1_000_000, this.rnd)); 429 formattedWrite(app, "%02d", uniform(0, 100, this.rnd)); 430 formattedWrite(app, "%s", choice(suffix, this.rnd)); 431 return app.data; 432 } 433 434 /// 435 string nameGenderBinary() { 436 return choice(["Man", "Woman"], this.rnd); 437 } 438 439 static IbanData ibanData = IbanData( 440 to!(dchar[])("ABCDEFGHIJKLMNOPQRSTUVWXYZ"), 441 ["01", "02", "03", "04", "05", "06", "07", "08", "09"], 442 ["001", "002", "003", "004", "005", "006", "007", "008", "009"], 443 [ 444 IbanFormat("AL", 28, 445 [ 446 BBan("n", 8), 447 BBan("c", 16) 448 ], 449 "ALkk bbbs sssx cccc cccc cccc cccc" 450 ), 451 IbanFormat("AD", 24, 452 [ 453 BBan("n", 8), 454 BBan("c", 12) 455 ], 456 "ADkk bbbb ssss cccc cccc cccc" 457 ), 458 IbanFormat("AT", 20, 459 [ 460 BBan("n", 5), 461 BBan("n", 11) 462 ], 463 "ATkk bbbb bccc cccc cccc" 464 ), 465 IbanFormat("AZ", 28, 466 [ 467 BBan("c", 4), 468 BBan("n", 20) 469 ], 470 "AZkk bbbb cccc cccc cccc cccc cccc" 471 ), 472 IbanFormat("BH", 22, 473 [ 474 BBan("a", 4), 475 BBan("c", 14) 476 ], 477 "BHkk bbbb cccc cccc cccc cc" 478 ), 479 IbanFormat("BE", 16, 480 [ 481 BBan("n", 3), 482 BBan("n", 9) 483 ], 484 "BEkk bbbc cccc ccxx" 485 ), 486 IbanFormat("BA", 20, 487 [ 488 BBan("n", 6), 489 BBan("n", 10) 490 ], 491 "BAkk bbbs sscc cccc ccxx" 492 ), 493 IbanFormat("BR", 29, 494 [ 495 BBan("n", 13), 496 BBan("n", 10), 497 BBan("a", 1), 498 BBan("c", 1) 499 ], 500 "BRkk bbbb bbbb ssss sccc cccc ccct n" 501 ), 502 IbanFormat("BG", 22, 503 [ 504 BBan("a", 4), 505 BBan("n", 6), 506 BBan("c", 8) 507 ], 508 "BGkk bbbb ssss ddcc cccc cc" 509 ), 510 IbanFormat("CR", 21, 511 [ 512 BBan("n", 3), 513 BBan("n", 14) 514 ], 515 "CRkk bbbc cccc cccc cccc c" 516 ), 517 IbanFormat("HR", 21, 518 [ 519 BBan("n", 7), 520 BBan("n", 10) 521 ], 522 "HRkk bbbb bbbc cccc cccc c" 523 ), 524 IbanFormat("CY", 28, 525 [ 526 BBan("n", 8), 527 BBan("c", 16) 528 ], 529 "CYkk bbbs ssss cccc cccc cccc cccc" 530 ), 531 IbanFormat("CZ", 24, 532 [ 533 BBan("n", 10), 534 BBan("n", 10) 535 ], 536 "CZkk bbbb ssss sscc cccc cccc" 537 ), 538 IbanFormat("DK", 18, 539 [ 540 BBan("n", 4), 541 BBan("n", 10) 542 ], 543 "DKkk bbbb cccc cccc cc" 544 ), 545 IbanFormat("DO", 28, 546 [ 547 BBan("a", 4), 548 BBan("n", 20) 549 ], 550 "DOkk bbbb cccc cccc cccc cccc cccc" 551 ), 552 IbanFormat("TL", 23, 553 [ 554 BBan("n", 3), 555 BBan("n", 16) 556 ], 557 "TLkk bbbc cccc cccc cccc cxx" 558 ), 559 IbanFormat("EE", 20, 560 [ 561 BBan("n", 4), 562 BBan("n", 12) 563 ], 564 "EEkk bbss cccc cccc cccx" 565 ), 566 IbanFormat("FO", 18, 567 [ 568 BBan("n", 4), 569 BBan("n", 10) 570 ], 571 "FOkk bbbb cccc cccc cx" 572 ), 573 IbanFormat("FI", 18, 574 [ 575 BBan("n", 6), 576 BBan("n", 8) 577 ], 578 "FIkk bbbb bbcc cccc cx" 579 ), 580 IbanFormat("FR", 27, 581 [ 582 BBan("n", 10), 583 BBan("c", 11), 584 BBan("n", 2) 585 ], 586 "FRkk bbbb bggg ggcc cccc cccc cxx" 587 ), 588 IbanFormat("GE", 22, 589 [ 590 BBan("c", 2), 591 BBan("n", 16) 592 ], 593 "GEkk bbcc cccc cccc cccc cc" 594 ), 595 IbanFormat("DE", 22, 596 [ 597 BBan("n", 8), 598 BBan("n", 10) 599 ], 600 "DEkk bbbb bbbb cccc cccc cc" 601 ), 602 IbanFormat("GI", 23, 603 [ 604 BBan("a", 4), 605 BBan("c", 15) 606 ], 607 "GIkk bbbb cccc cccc cccc ccc" 608 ), 609 IbanFormat("GR", 27, 610 [ 611 BBan("n", 7), 612 BBan("c", 16) 613 ], 614 "GRkk bbbs sssc cccc cccc cccc ccc" 615 ), 616 IbanFormat("GL", 18, 617 [ 618 BBan("n", 4), 619 BBan("n", 10) 620 ], 621 "GLkk bbbb cccc cccc cc" 622 ), 623 IbanFormat("GT", 28, 624 [ 625 BBan("c", 4), 626 BBan("c", 4), 627 BBan("c", 16) 628 ], 629 "GTkk bbbb mmtt cccc cccc cccc cccc" 630 ), 631 IbanFormat("HU", 28, 632 [ 633 BBan("n", 8), 634 BBan("n", 16) 635 ], 636 "HUkk bbbs sssk cccc cccc cccc cccx" 637 ), 638 IbanFormat("IS", 26, 639 [ 640 BBan("n", 6), 641 BBan("n", 16) 642 ], 643 "ISkk bbbb sscc cccc iiii iiii ii" 644 ), 645 IbanFormat("IE", 22, 646 [ 647 BBan("c", 4), 648 BBan("n", 6), 649 BBan("n", 8) 650 ], 651 "IEkk aaaa bbbb bbcc cccc cc" 652 ), 653 IbanFormat("IL", 23, 654 [ 655 BBan("n", 6), 656 BBan("n", 13) 657 ], 658 "ILkk bbbn nncc cccc cccc ccc" 659 ), 660 IbanFormat("IT", 27, 661 [ 662 BBan("a", 1), 663 BBan("n", 10), 664 BBan("c", 12) 665 ], 666 "ITkk xaaa aabb bbbc cccc cccc ccc" 667 ), 668 IbanFormat("JO", 30, 669 [ 670 BBan("a", 4), 671 BBan("n", 4), 672 BBan("n", 18) 673 ], 674 "JOkk bbbb nnnn cccc cccc cccc cccc cc" 675 ), 676 IbanFormat("KZ", 20, 677 [ 678 BBan("n", 3), 679 BBan("c", 13) 680 ], 681 "KZkk bbbc cccc cccc cccc" 682 ), 683 IbanFormat("XK", 20, 684 [ 685 BBan("n", 4), 686 BBan("n", 12) 687 ], 688 "XKkk bbbb cccc cccc cccc" 689 ), 690 IbanFormat("KW", 30, 691 [ 692 BBan("a", 4), 693 BBan("c", 22) 694 ], 695 "KWkk bbbb cccc cccc cccc cccc cccc cc" 696 ), 697 IbanFormat("LV", 21, 698 [ 699 BBan("a", 4), 700 BBan("c", 13) 701 ], 702 "LVkk bbbb cccc cccc cccc c" 703 ), 704 IbanFormat("LB", 28, 705 [ 706 BBan("n", 4), 707 BBan("c", 20) 708 ], 709 "LBkk bbbb cccc cccc cccc cccc cccc" 710 ), 711 IbanFormat("LI", 21, 712 [ 713 BBan("n", 5), 714 BBan("c", 12) 715 ], 716 "LIkk bbbb bccc cccc cccc c" 717 ), 718 IbanFormat("LT", 20, 719 [ 720 BBan("n", 5), 721 BBan("n", 11) 722 ], 723 "LTkk bbbb bccc cccc cccc" 724 ), 725 IbanFormat("LU", 20, 726 [ 727 BBan("n", 3), 728 BBan("c", 13) 729 ], 730 "LUkk bbbc cccc cccc cccc" 731 ), 732 IbanFormat("MK", 19, 733 [ 734 BBan("n", 3), 735 BBan("c", 10), 736 BBan("n", 2) 737 ], 738 "MKkk bbbc cccc cccc cxx" 739 ), 740 IbanFormat("MT", 31, 741 [ 742 BBan("a", 4), 743 BBan("n", 5), 744 BBan("c", 18) 745 ], 746 "MTkk bbbb ssss sccc cccc cccc cccc ccc" 747 ), 748 IbanFormat("MR", 27, 749 [ 750 BBan("n", 10), 751 BBan("n", 13) 752 ], 753 "MRkk bbbb bsss sscc cccc cccc cxx" 754 ), 755 IbanFormat("MU", 30, 756 [ 757 BBan("a", 4), 758 BBan("n", 4), 759 BBan("n", 15), 760 BBan("a", 3) 761 ], 762 "MUkk bbbb bbss cccc cccc cccc 000d dd" 763 ), 764 IbanFormat("MC", 27, 765 [ 766 BBan("n", 10), 767 BBan("c", 11), 768 BBan("n", 2) 769 ], 770 "MCkk bbbb bsss sscc cccc cccc cxx" 771 ), 772 IbanFormat("MD", 24, 773 [ 774 BBan("c", 2), 775 BBan("c", 18) 776 ], 777 "MDkk bbcc cccc cccc cccc cccc" 778 ), 779 IbanFormat("ME", 22, 780 [ 781 BBan("n", 3), 782 BBan("n", 15) 783 ], 784 "MEkk bbbc cccc cccc cccc xx" 785 ), 786 IbanFormat("NL", 18, 787 [ 788 BBan("a", 4), 789 BBan("n", 10) 790 ], 791 "NLkk bbbb cccc cccc cc" 792 ), 793 IbanFormat("NO", 15, 794 [ 795 BBan("n", 4), 796 BBan("n", 7) 797 ], 798 "NOkk bbbb cccc ccx" 799 ), 800 IbanFormat("PK", 24, 801 [ 802 BBan("c", 4), 803 BBan("n", 16) 804 ], 805 "PKkk bbbb cccc cccc cccc cccc" 806 ), 807 IbanFormat("PS", 29, 808 [ 809 BBan("c", 4), 810 BBan("n", 9), 811 BBan("n", 12) 812 ], 813 "PSkk bbbb xxxx xxxx xccc cccc cccc c" 814 ), 815 IbanFormat("PL", 28, 816 [ 817 BBan("n", 8), 818 BBan("n", 16) 819 ], 820 "PLkk bbbs sssx cccc cccc cccc cccc" 821 ), 822 IbanFormat("PT", 25, 823 [ 824 BBan("n", 8), 825 BBan("n", 13) 826 ], 827 "PTkk bbbb ssss cccc cccc cccx x" 828 ), 829 IbanFormat("QA", 29, 830 [ 831 BBan("a", 4), 832 BBan("c", 21) 833 ], 834 "QAkk bbbb cccc cccc cccc cccc cccc c" 835 ), 836 IbanFormat("RO", 24, 837 [ 838 BBan("a", 4), 839 BBan("c", 16) 840 ], 841 "ROkk bbbb cccc cccc cccc cccc" 842 ), 843 IbanFormat("SM", 27, 844 [ 845 BBan("a", 1), 846 BBan("n", 10), 847 BBan("c", 12) 848 ], 849 "SMkk xaaa aabb bbbc cccc cccc ccc" 850 ), 851 IbanFormat("SA", 24, 852 [ 853 BBan("n", 2), 854 BBan("c", 18) 855 ], 856 "SAkk bbcc cccc cccc cccc cccc" 857 ), 858 IbanFormat("RS", 22, 859 [ 860 BBan("n", 3), 861 BBan("n", 15) 862 ], 863 "RSkk bbbc cccc cccc cccc xx" 864 ), 865 IbanFormat("SK", 24, 866 [ 867 BBan("n", 10), 868 BBan("n", 10) 869 ], 870 "SKkk bbbb ssss sscc cccc cccc" 871 ), 872 IbanFormat("SI", 19, 873 [ 874 BBan("n", 5), 875 BBan("n", 10) 876 ], 877 "SIkk bbss sccc cccc cxx" 878 ), 879 IbanFormat("ES", 24, 880 [ 881 BBan("n", 10), 882 BBan("n", 10) 883 ], 884 "ESkk bbbb gggg xxcc cccc cccc" 885 ), 886 IbanFormat("SE", 24, 887 [ 888 BBan("n", 3), 889 BBan("n", 17) 890 ], 891 "SEkk bbbc cccc cccc cccc cccc" 892 ), 893 IbanFormat("CH", 21, 894 [ 895 BBan("n", 5), 896 BBan("c", 12) 897 ], 898 "CHkk bbbb bccc cccc cccc c" 899 ), 900 IbanFormat("TN", 24, 901 [ 902 BBan("n", 5), 903 BBan("n", 15) 904 ], 905 "TNkk bbss sccc cccc cccc cccc" 906 ), 907 IbanFormat("TR", 26, 908 [ 909 BBan("n", 5), 910 BBan("c", 1), 911 BBan("c", 16) 912 ], 913 "TRkk bbbb bxcc cccc cccc cccc cc" 914 ), 915 IbanFormat("AE", 23, 916 [ 917 BBan("n", 3), 918 BBan("n", 16) 919 ], 920 "AEkk bbbc cccc cccc cccc ccc" 921 ), 922 IbanFormat("GB", 22, 923 [ 924 BBan("a", 4), 925 BBan("n", 6), 926 BBan("n", 8) 927 ], 928 "GBkk bbbb ssss sscc cccc cc" 929 ), 930 IbanFormat("VG", 24, 931 [ 932 BBan("c", 4), 933 BBan("n", 16) 934 ], 935 "VGkk bbbb cccc cccc cccc cccc" 936 ) 937 ], 938 ["AC", "AD", "AE", "AF", "AG", "AI", "AL", "AM", "AN", "AO", "AQ", "AR", "AS", "AT", "AU", "AW", "AX", "AZ", "BA", "BB", "BD", "BE", "BF", "BG", "BH", "BI", "BJ", "BL", "BM", "BN", "BO", "BQ", "BR", "BS", "BT", "BU", "BV", "BW", "BY", "BZ", "CA", "CC", "CD", "CE", "CF", "CG", "CH", "CI", "CK", "CL", "CM", "CN", "CO", "CP", "CR", "CS", "CS", "CU", "CV", "CW", "CX", "CY", "CZ", "DD", "DE", "DG", "DJ", "DK", "DM", "DO", "DZ", "EA", "EC", "EE", "EG", "EH", "ER", "ES", "ET", "EU", "FI", "FJ", "FK", "FM", "FO", "FR", "FX", "GA", "GB", "GD", "GE", "GF", "GG", "GH", "GI", "GL", "GM", "GN", "GP", "GQ", "GR", "GS", "GT", "GU", "GW", "GY", "HK", "HM", "HN", "HR", "HT", "HU", "IC", "ID", "IE", "IL", "IM", "IN", "IO", "IQ", "IR", "IS", "IT", "JE", "JM", "JO", "JP", "KE", "KG", "KH", "KI", "KM", "KN", "KP", "KR", "KW", "KY", "KZ", "LA", "LB", "LC", "LI", "LK", "LR", "LS", "LT", "LU", "LV", "LY", "MA", "MC", "MD", "ME", "MF", "MG", "MH", "MK", "ML", "MM", "MN", "MO", "MP", "MQ", "MR", "MS", "MT", "MU", "MV", "MW", "MX", "MY", "MZ", "NA", "NC", "NE", "NF", "NG", "NI", "NL", "NO", "NP", "NR", "NT", "NU", "NZ", "OM", "PA", "PE", "PF", "PG", "PH", "PK", "PL", "PM", "PN", "PR", "PS", "PT", "PW", "PY", "QA", "RE", "RO", "RS", "RU", "RW", "SA", "SB", "SC", "SD", "SE", "SG", "SH", "SI", "SJ", "SK", "SL", "SM", "SN", "SO", "SR", "SS", "ST", "SU", "SV", "SX", "SY", "SZ", "TA", "TC", "TD", "TF", "TG", "TH", "TJ", "TK", "TL", "TM", "TN", "TO", "TR", "TT", "TV", "TW", "TZ", "UA", "UG", "UM", "US", "UY", "UZ", "VA", "VC", "VE", "VG", "VI", "VN", "VU", "WF", "WS", "YE", "YT", "YU", "ZA", "ZM", "ZR", "ZW"]) 939 ; 940 /// 941 string digitBuild(string s, dchar sym = '#') { 942 auto app = appender!string(); 943 for(size_t idx = 0; idx < s.length; ++idx) { 944 dchar c = s[idx]; 945 if(c == sym) { 946 formattedWrite(app, "%d", uniform(0, 10, this.rnd)); 947 } else if(c == '[') { 948 ++idx; 949 size_t start = idx; 950 while(idx < s.length && s[idx] != ']') { 951 ++idx; 952 } 953 enforce(idx < s.length && s[idx] == ']'); 954 string[] ft = s[start .. idx].split("-"); 955 enforce(ft.length == 2); 956 int[] ftI = ft.map!(a => to!int(a)).array; 957 enforce(ft.length == 2); 958 int n = uniform(ftI[0], ftI[1], this.rnd); 959 formattedWrite(app, "%d", n); 960 } else if(c == '!') { 961 formattedWrite(app, "%d", uniform(2, 10, this.rnd)); 962 } else { 963 app.put(c); 964 } 965 } 966 return app.data; 967 } 968 969 /// 970 string replaceChars(string s) { 971 static enum alpha = to!(dchar[])("ABCDEFGHIJKLMNOPQRSTUVWXYZ"); 972 auto app = appender!string(); 973 foreach(dchar c; s) { 974 if(c == '#') { 975 formattedWrite(app, "%d", choice(alpha, this.rnd)); 976 } else { 977 app.put(c); 978 } 979 } 980 return app.data; 981 } 982 983 /// 984 string replaceSymbols(string str) { 985 static enum alpha = to!(dchar[])([ 986 'A','B','C','D','E','F','G','H','I','J','K','L', 987 'M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z' 988 ]); 989 990 auto app = appender!string(); 991 992 foreach(dchar c; str) { 993 if(c == '#') { 994 formattedWrite(app, "%d", uniform(0, 10, this.rnd)); 995 } else if(c == '?') { 996 app.put(choice(alpha, this.rnd)); 997 } else if(c == '*') { 998 formattedWrite(app, "%s", 999 (uniform(0, 2) == 1) 1000 ? to!string(choice(alpha, this.rnd)) 1001 : to!string(uniform(0, 10, this.rnd)) 1002 ); 1003 } else { 1004 app.put(c); 1005 } 1006 } 1007 return app.data; 1008 } 1009 /// 1010 string teamCreature() { 1011 auto data = [ 1012 "ants", 1013 "bats", 1014 "bears", 1015 "bees", 1016 "birds", 1017 "buffalo", 1018 "cats", 1019 "chickens", 1020 "cattle", 1021 "dogs", 1022 "dolphins", 1023 "ducks", 1024 "elephants", 1025 "fishes", 1026 "foxes", 1027 "frogs", 1028 "geese", 1029 "goats", 1030 "horses", 1031 "kangaroos", 1032 "lions", 1033 "monkeys", 1034 "owls", 1035 "oxen", 1036 "penguins", 1037 "people", 1038 "pigs", 1039 "rabbits", 1040 "sheep", 1041 "tigers", 1042 "whales", 1043 "wolves", 1044 "zebras", 1045 "banshees", 1046 "crows", 1047 "black cats", 1048 "chimeras", 1049 "ghosts", 1050 "conspirators", 1051 "dragons", 1052 "dwarves", 1053 "elves", 1054 "enchanters", 1055 "exorcists", 1056 "sons", 1057 "foes", 1058 "giants", 1059 "gnomes", 1060 "goblins", 1061 "gooses", 1062 "griffins", 1063 "lycanthropes", 1064 "nemesis", 1065 "ogres", 1066 "oracles", 1067 "prophets", 1068 "sorcerors", 1069 "spiders", 1070 "spirits", 1071 "vampires", 1072 "warlocks", 1073 "vixens", 1074 "werewolves", 1075 "witches", 1076 "worshipers", 1077 "zombies", 1078 "druids" 1079 ]; 1080 return choice(data, this.rnd); 1081 } 1082 1083 1084 string teamName() { 1085 final switch(uniform(0, 1, this.rnd)) { 1086 case 0: return addressState() ~ " " ~ teamCreature() ~ "'"; 1087 } 1088 } 1089 1090 /// 1091 string loremWords() { 1092 auto data = [ 1093 "alias", 1094 "consequatur", 1095 "aut", 1096 "perferendis", 1097 "sit", 1098 "voluptatem", 1099 "accusantium", 1100 "doloremque", 1101 "aperiam", 1102 "eaque", 1103 "ipsa", 1104 "quae", 1105 "ab", 1106 "illo", 1107 "inventore", 1108 "veritatis", 1109 "et", 1110 "quasi", 1111 "architecto", 1112 "beatae", 1113 "vitae", 1114 "dicta", 1115 "sunt", 1116 "explicabo", 1117 "aspernatur", 1118 "aut", 1119 "odit", 1120 "aut", 1121 "fugit", 1122 "sed", 1123 "quia", 1124 "consequuntur", 1125 "magni", 1126 "dolores", 1127 "eos", 1128 "qui", 1129 "ratione", 1130 "voluptatem", 1131 "sequi", 1132 "nesciunt", 1133 "neque", 1134 "dolorem", 1135 "ipsum", 1136 "quia", 1137 "dolor", 1138 "sit", 1139 "amet", 1140 "consectetur", 1141 "adipisci", 1142 "velit", 1143 "sed", 1144 "quia", 1145 "non", 1146 "numquam", 1147 "eius", 1148 "modi", 1149 "tempora", 1150 "incidunt", 1151 "ut", 1152 "labore", 1153 "et", 1154 "dolore", 1155 "magnam", 1156 "aliquam", 1157 "quaerat", 1158 "voluptatem", 1159 "ut", 1160 "enim", 1161 "ad", 1162 "minima", 1163 "veniam", 1164 "quis", 1165 "nostrum", 1166 "exercitationem", 1167 "ullam", 1168 "corporis", 1169 "nemo", 1170 "enim", 1171 "ipsam", 1172 "voluptatem", 1173 "quia", 1174 "voluptas", 1175 "sit", 1176 "suscipit", 1177 "laboriosam", 1178 "nisi", 1179 "ut", 1180 "aliquid", 1181 "ex", 1182 "ea", 1183 "commodi", 1184 "consequatur", 1185 "quis", 1186 "autem", 1187 "vel", 1188 "eum", 1189 "iure", 1190 "reprehenderit", 1191 "qui", 1192 "in", 1193 "ea", 1194 "voluptate", 1195 "velit", 1196 "esse", 1197 "quam", 1198 "nihil", 1199 "molestiae", 1200 "et", 1201 "iusto", 1202 "odio", 1203 "dignissimos", 1204 "ducimus", 1205 "qui", 1206 "blanditiis", 1207 "praesentium", 1208 "laudantium", 1209 "totam", 1210 "rem", 1211 "voluptatum", 1212 "deleniti", 1213 "atque", 1214 "corrupti", 1215 "quos", 1216 "dolores", 1217 "et", 1218 "quas", 1219 "molestias", 1220 "excepturi", 1221 "sint", 1222 "occaecati", 1223 "cupiditate", 1224 "non", 1225 "provident", 1226 "sed", 1227 "ut", 1228 "perspiciatis", 1229 "unde", 1230 "omnis", 1231 "iste", 1232 "natus", 1233 "error", 1234 "similique", 1235 "sunt", 1236 "in", 1237 "culpa", 1238 "qui", 1239 "officia", 1240 "deserunt", 1241 "mollitia", 1242 "animi", 1243 "id", 1244 "est", 1245 "laborum", 1246 "et", 1247 "dolorum", 1248 "fuga", 1249 "et", 1250 "harum", 1251 "quidem", 1252 "rerum", 1253 "facilis", 1254 "est", 1255 "et", 1256 "expedita", 1257 "distinctio", 1258 "nam", 1259 "libero", 1260 "tempore", 1261 "cum", 1262 "soluta", 1263 "nobis", 1264 "est", 1265 "eligendi", 1266 "optio", 1267 "cumque", 1268 "nihil", 1269 "impedit", 1270 "quo", 1271 "porro", 1272 "quisquam", 1273 "est", 1274 "qui", 1275 "minus", 1276 "id", 1277 "quod", 1278 "maxime", 1279 "placeat", 1280 "facere", 1281 "possimus", 1282 "omnis", 1283 "voluptas", 1284 "assumenda", 1285 "est", 1286 "omnis", 1287 "dolor", 1288 "repellendus", 1289 "temporibus", 1290 "autem", 1291 "quibusdam", 1292 "et", 1293 "aut", 1294 "consequatur", 1295 "vel", 1296 "illum", 1297 "qui", 1298 "dolorem", 1299 "eum", 1300 "fugiat", 1301 "quo", 1302 "voluptas", 1303 "nulla", 1304 "pariatur", 1305 "at", 1306 "vero", 1307 "eos", 1308 "et", 1309 "accusamus", 1310 "officiis", 1311 "debitis", 1312 "aut", 1313 "rerum", 1314 "necessitatibus", 1315 "saepe", 1316 "eveniet", 1317 "ut", 1318 "et", 1319 "voluptates", 1320 "repudiandae", 1321 "sint", 1322 "et", 1323 "molestiae", 1324 "non", 1325 "recusandae", 1326 "itaque", 1327 "earum", 1328 "rerum", 1329 "hic", 1330 "tenetur", 1331 "a", 1332 "sapiente", 1333 "delectus", 1334 "ut", 1335 "aut", 1336 "reiciendis", 1337 "voluptatibus", 1338 "maiores", 1339 "doloribus", 1340 "asperiores", 1341 "repellat" 1342 ]; 1343 return choice(data, this.rnd); 1344 } 1345 1346 /// 1347 string loremSupplemental() { 1348 auto data = [ 1349 "abbas", 1350 "abduco", 1351 "abeo", 1352 "abscido", 1353 "absconditus", 1354 "absens", 1355 "absorbeo", 1356 "absque", 1357 "abstergo", 1358 "absum", 1359 "abundans", 1360 "abutor", 1361 "accedo", 1362 "accendo", 1363 "acceptus", 1364 "accipio", 1365 "accommodo", 1366 "accusator", 1367 "acer", 1368 "acerbitas", 1369 "acervus", 1370 "acidus", 1371 "acies", 1372 "acquiro", 1373 "acsi", 1374 "adamo", 1375 "adaugeo", 1376 "addo", 1377 "adduco", 1378 "ademptio", 1379 "adeo", 1380 "adeptio", 1381 "adfectus", 1382 "adfero", 1383 "adficio", 1384 "adflicto", 1385 "adhaero", 1386 "adhuc", 1387 "adicio", 1388 "adimpleo", 1389 "adinventitias", 1390 "adipiscor", 1391 "adiuvo", 1392 "administratio", 1393 "admiratio", 1394 "admitto", 1395 "admoneo", 1396 "admoveo", 1397 "adnuo", 1398 "adopto", 1399 "adsidue", 1400 "adstringo", 1401 "adsuesco", 1402 "adsum", 1403 "adulatio", 1404 "adulescens", 1405 "adultus", 1406 "aduro", 1407 "advenio", 1408 "adversus", 1409 "advoco", 1410 "aedificium", 1411 "aeger", 1412 "aegre", 1413 "aegrotatio", 1414 "aegrus", 1415 "aeneus", 1416 "aequitas", 1417 "aequus", 1418 "aer", 1419 "aestas", 1420 "aestivus", 1421 "aestus", 1422 "aetas", 1423 "aeternus", 1424 "ager", 1425 "aggero", 1426 "aggredior", 1427 "agnitio", 1428 "agnosco", 1429 "ago", 1430 "ait", 1431 "aiunt", 1432 "alienus", 1433 "alii", 1434 "alioqui", 1435 "aliqua", 1436 "alius", 1437 "allatus", 1438 "alo", 1439 "alter", 1440 "altus", 1441 "alveus", 1442 "amaritudo", 1443 "ambitus", 1444 "ambulo", 1445 "amicitia", 1446 "amiculum", 1447 "amissio", 1448 "amita", 1449 "amitto", 1450 "amo", 1451 "amor", 1452 "amoveo", 1453 "amplexus", 1454 "amplitudo", 1455 "amplus", 1456 "ancilla", 1457 "angelus", 1458 "angulus", 1459 "angustus", 1460 "animadverto", 1461 "animi", 1462 "animus", 1463 "annus", 1464 "anser", 1465 "ante", 1466 "antea", 1467 "antepono", 1468 "antiquus", 1469 "aperio", 1470 "aperte", 1471 "apostolus", 1472 "apparatus", 1473 "appello", 1474 "appono", 1475 "appositus", 1476 "approbo", 1477 "apto", 1478 "aptus", 1479 "apud", 1480 "aqua", 1481 "ara", 1482 "aranea", 1483 "arbitro", 1484 "arbor", 1485 "arbustum", 1486 "arca", 1487 "arceo", 1488 "arcesso", 1489 "arcus", 1490 "argentum", 1491 "argumentum", 1492 "arguo", 1493 "arma", 1494 "armarium", 1495 "armo", 1496 "aro", 1497 "ars", 1498 "articulus", 1499 "artificiose", 1500 "arto", 1501 "arx", 1502 "ascisco", 1503 "ascit", 1504 "asper", 1505 "aspicio", 1506 "asporto", 1507 "assentator", 1508 "astrum", 1509 "atavus", 1510 "ater", 1511 "atqui", 1512 "atrocitas", 1513 "atrox", 1514 "attero", 1515 "attollo", 1516 "attonbitus", 1517 "auctor", 1518 "auctus", 1519 "audacia", 1520 "audax", 1521 "audentia", 1522 "audeo", 1523 "audio", 1524 "auditor", 1525 "aufero", 1526 "aureus", 1527 "auris", 1528 "aurum", 1529 "aut", 1530 "autem", 1531 "autus", 1532 "auxilium", 1533 "avaritia", 1534 "avarus", 1535 "aveho", 1536 "averto", 1537 "avoco", 1538 "baiulus", 1539 "balbus", 1540 "barba", 1541 "bardus", 1542 "basium", 1543 "beatus", 1544 "bellicus", 1545 "bellum", 1546 "bene", 1547 "beneficium", 1548 "benevolentia", 1549 "benigne", 1550 "bestia", 1551 "bibo", 1552 "bis", 1553 "blandior", 1554 "bonus", 1555 "bos", 1556 "brevis", 1557 "cado", 1558 "caecus", 1559 "caelestis", 1560 "caelum", 1561 "calamitas", 1562 "calcar", 1563 "calco", 1564 "calculus", 1565 "callide", 1566 "campana", 1567 "candidus", 1568 "canis", 1569 "canonicus", 1570 "canto", 1571 "capillus", 1572 "capio", 1573 "capitulus", 1574 "capto", 1575 "caput", 1576 "carbo", 1577 "carcer", 1578 "careo", 1579 "caries", 1580 "cariosus", 1581 "caritas", 1582 "carmen", 1583 "carpo", 1584 "carus", 1585 "casso", 1586 "caste", 1587 "casus", 1588 "catena", 1589 "caterva", 1590 "cattus", 1591 "cauda", 1592 "causa", 1593 "caute", 1594 "caveo", 1595 "cavus", 1596 "cedo", 1597 "celebrer", 1598 "celer", 1599 "celo", 1600 "cena", 1601 "cenaculum", 1602 "ceno", 1603 "censura", 1604 "centum", 1605 "cerno", 1606 "cernuus", 1607 "certe", 1608 "certo", 1609 "certus", 1610 "cervus", 1611 "cetera", 1612 "charisma", 1613 "chirographum", 1614 "cibo", 1615 "cibus", 1616 "cicuta", 1617 "cilicium", 1618 "cimentarius", 1619 "ciminatio", 1620 "cinis", 1621 "circumvenio", 1622 "cito", 1623 "civis", 1624 "civitas", 1625 "clam", 1626 "clamo", 1627 "claro", 1628 "clarus", 1629 "claudeo", 1630 "claustrum", 1631 "clementia", 1632 "clibanus", 1633 "coadunatio", 1634 "coaegresco", 1635 "coepi", 1636 "coerceo", 1637 "cogito", 1638 "cognatus", 1639 "cognomen", 1640 "cogo", 1641 "cohaero", 1642 "cohibeo", 1643 "cohors", 1644 "colligo", 1645 "colloco", 1646 "collum", 1647 "colo", 1648 "color", 1649 "coma", 1650 "combibo", 1651 "comburo", 1652 "comedo", 1653 "comes", 1654 "cometes", 1655 "comis", 1656 "comitatus", 1657 "commemoro", 1658 "comminor", 1659 "commodo", 1660 "communis", 1661 "comparo", 1662 "compello", 1663 "complectus", 1664 "compono", 1665 "comprehendo", 1666 "comptus", 1667 "conatus", 1668 "concedo", 1669 "concido", 1670 "conculco", 1671 "condico", 1672 "conduco", 1673 "confero", 1674 "confido", 1675 "conforto", 1676 "confugo", 1677 "congregatio", 1678 "conicio", 1679 "coniecto", 1680 "conitor", 1681 "coniuratio", 1682 "conor", 1683 "conqueror", 1684 "conscendo", 1685 "conservo", 1686 "considero", 1687 "conspergo", 1688 "constans", 1689 "consuasor", 1690 "contabesco", 1691 "contego", 1692 "contigo", 1693 "contra", 1694 "conturbo", 1695 "conventus", 1696 "convoco", 1697 "copia", 1698 "copiose", 1699 "cornu", 1700 "corona", 1701 "corpus", 1702 "correptius", 1703 "corrigo", 1704 "corroboro", 1705 "corrumpo", 1706 "coruscus", 1707 "cotidie", 1708 "crapula", 1709 "cras", 1710 "crastinus", 1711 "creator", 1712 "creber", 1713 "crebro", 1714 "credo", 1715 "creo", 1716 "creptio", 1717 "crepusculum", 1718 "cresco", 1719 "creta", 1720 "cribro", 1721 "crinis", 1722 "cruciamentum", 1723 "crudelis", 1724 "cruentus", 1725 "crur", 1726 "crustulum", 1727 "crux", 1728 "cubicularis", 1729 "cubitum", 1730 "cubo", 1731 "cui", 1732 "cuius", 1733 "culpa", 1734 "culpo", 1735 "cultellus", 1736 "cultura", 1737 "cum", 1738 "cunabula", 1739 "cunae", 1740 "cunctatio", 1741 "cupiditas", 1742 "cupio", 1743 "cuppedia", 1744 "cupressus", 1745 "cur", 1746 "cura", 1747 "curatio", 1748 "curia", 1749 "curiositas", 1750 "curis", 1751 "curo", 1752 "curriculum", 1753 "currus", 1754 "cursim", 1755 "curso", 1756 "cursus", 1757 "curto", 1758 "curtus", 1759 "curvo", 1760 "curvus", 1761 "custodia", 1762 "damnatio", 1763 "damno", 1764 "dapifer", 1765 "debeo", 1766 "debilito", 1767 "decens", 1768 "decerno", 1769 "decet", 1770 "decimus", 1771 "decipio", 1772 "decor", 1773 "decretum", 1774 "decumbo", 1775 "dedecor", 1776 "dedico", 1777 "deduco", 1778 "defaeco", 1779 "defendo", 1780 "defero", 1781 "defessus", 1782 "defetiscor", 1783 "deficio", 1784 "defigo", 1785 "defleo", 1786 "defluo", 1787 "defungo", 1788 "degenero", 1789 "degero", 1790 "degusto", 1791 "deinde", 1792 "delectatio", 1793 "delego", 1794 "deleo", 1795 "delibero", 1796 "delicate", 1797 "delinquo", 1798 "deludo", 1799 "demens", 1800 "demergo", 1801 "demitto", 1802 "demo", 1803 "demonstro", 1804 "demoror", 1805 "demulceo", 1806 "demum", 1807 "denego", 1808 "denique", 1809 "dens", 1810 "denuncio", 1811 "denuo", 1812 "deorsum", 1813 "depereo", 1814 "depono", 1815 "depopulo", 1816 "deporto", 1817 "depraedor", 1818 "deprecator", 1819 "deprimo", 1820 "depromo", 1821 "depulso", 1822 "deputo", 1823 "derelinquo", 1824 "derideo", 1825 "deripio", 1826 "desidero", 1827 "desino", 1828 "desipio", 1829 "desolo", 1830 "desparatus", 1831 "despecto", 1832 "despirmatio", 1833 "infit", 1834 "inflammatio", 1835 "paens", 1836 "patior", 1837 "patria", 1838 "patrocinor", 1839 "patruus", 1840 "pauci", 1841 "paulatim", 1842 "pauper", 1843 "pax", 1844 "peccatus", 1845 "pecco", 1846 "pecto", 1847 "pectus", 1848 "pecunia", 1849 "pecus", 1850 "peior", 1851 "pel", 1852 "ocer", 1853 "socius", 1854 "sodalitas", 1855 "sol", 1856 "soleo", 1857 "solio", 1858 "solitudo", 1859 "solium", 1860 "sollers", 1861 "sollicito", 1862 "solum", 1863 "solus", 1864 "solutio", 1865 "solvo", 1866 "somniculosus", 1867 "somnus", 1868 "sonitus", 1869 "sono", 1870 "sophismata", 1871 "sopor", 1872 "sordeo", 1873 "sortitus", 1874 "spargo", 1875 "speciosus", 1876 "spectaculum", 1877 "speculum", 1878 "sperno", 1879 "spero", 1880 "spes", 1881 "spiculum", 1882 "spiritus", 1883 "spoliatio", 1884 "sponte", 1885 "stabilis", 1886 "statim", 1887 "statua", 1888 "stella", 1889 "stillicidium", 1890 "stipes", 1891 "stips", 1892 "sto", 1893 "strenuus", 1894 "strues", 1895 "studio", 1896 "stultus", 1897 "suadeo", 1898 "suasoria", 1899 "sub", 1900 "subito", 1901 "subiungo", 1902 "sublime", 1903 "subnecto", 1904 "subseco", 1905 "substantia", 1906 "subvenio", 1907 "succedo", 1908 "succurro", 1909 "sufficio", 1910 "suffoco", 1911 "suffragium", 1912 "suggero", 1913 "sui", 1914 "sulum", 1915 "sum", 1916 "summa", 1917 "summisse", 1918 "summopere", 1919 "sumo", 1920 "sumptus", 1921 "supellex", 1922 "super", 1923 "suppellex", 1924 "supplanto", 1925 "suppono", 1926 "supra", 1927 "surculus", 1928 "surgo", 1929 "sursum", 1930 "suscipio", 1931 "suspendo", 1932 "sustineo", 1933 "suus", 1934 "synagoga", 1935 "tabella", 1936 "tabernus", 1937 "tabesco", 1938 "tabgo", 1939 "tabula", 1940 "taceo", 1941 "tactus", 1942 "taedium", 1943 "talio", 1944 "talis", 1945 "talus", 1946 "tam", 1947 "tamdiu", 1948 "tamen", 1949 "tametsi", 1950 "tamisium", 1951 "tamquam", 1952 "tandem", 1953 "tantillus", 1954 "tantum", 1955 "tardus", 1956 "tego", 1957 "temeritas", 1958 "temperantia", 1959 "templum", 1960 "temptatio", 1961 "tempus", 1962 "tenax", 1963 "tendo", 1964 "teneo", 1965 "tener", 1966 "tenuis", 1967 "tenus", 1968 "tepesco", 1969 "tepidus", 1970 "ter", 1971 "terebro", 1972 "teres", 1973 "terga", 1974 "tergeo", 1975 "tergiversatio", 1976 "tergo", 1977 "tergum", 1978 "termes", 1979 "terminatio", 1980 "tero", 1981 "terra", 1982 "terreo", 1983 "territo", 1984 "terror", 1985 "tersus", 1986 "tertius", 1987 "testimonium", 1988 "texo", 1989 "textilis", 1990 "textor", 1991 "textus", 1992 "thalassinus", 1993 "theatrum", 1994 "theca", 1995 "thema", 1996 "theologus", 1997 "thermae", 1998 "thesaurus", 1999 "thesis", 2000 "thorax", 2001 "thymbra", 2002 "thymum", 2003 "tibi", 2004 "timidus", 2005 "timor", 2006 "titulus", 2007 "tolero", 2008 "tollo", 2009 "tondeo", 2010 "tonsor", 2011 "torqueo", 2012 "torrens", 2013 "tot", 2014 "totidem", 2015 "toties", 2016 "totus", 2017 "tracto", 2018 "trado", 2019 "traho", 2020 "trans", 2021 "tredecim", 2022 "tremo", 2023 "trepide", 2024 "tres", 2025 "tribuo", 2026 "tricesimus", 2027 "triduana", 2028 "triginta", 2029 "tripudio", 2030 "tristis", 2031 "triumphus", 2032 "trucido", 2033 "truculenter", 2034 "tubineus", 2035 "tui", 2036 "tum", 2037 "tumultus", 2038 "tunc", 2039 "turba", 2040 "turbo", 2041 "turpe", 2042 "turpis", 2043 "tutamen", 2044 "tutis", 2045 "tyrannus", 2046 "uberrime", 2047 "ubi", 2048 "ulciscor", 2049 "ullus", 2050 "ulterius", 2051 "ultio", 2052 "ultra", 2053 "umbra", 2054 "umerus", 2055 "umquam", 2056 "una", 2057 "unde", 2058 "undique", 2059 "universe", 2060 "unus", 2061 "urbanus", 2062 "urbs", 2063 "uredo", 2064 "usitas", 2065 "usque", 2066 "ustilo", 2067 "ustulo", 2068 "usus", 2069 "uter", 2070 "uterque", 2071 "utilis", 2072 "utique", 2073 "utor", 2074 "utpote", 2075 "utrimque", 2076 "utroque", 2077 "utrum", 2078 "uxor", 2079 "vaco", 2080 "vacuus", 2081 "vado", 2082 "vae", 2083 "valde", 2084 "valens", 2085 "valeo", 2086 "valetudo", 2087 "validus", 2088 "vallum", 2089 "vapulus", 2090 "varietas", 2091 "varius", 2092 "vehemens", 2093 "vel", 2094 "velociter", 2095 "velum", 2096 "velut", 2097 "venia", 2098 "venio", 2099 "ventito", 2100 "ventosus", 2101 "ventus", 2102 "venustas", 2103 "ver", 2104 "verbera", 2105 "verbum", 2106 "vere", 2107 "verecundia", 2108 "vereor", 2109 "vergo", 2110 "veritas", 2111 "vero", 2112 "versus", 2113 "verto", 2114 "verumtamen", 2115 "verus", 2116 "vesco", 2117 "vesica", 2118 "vesper", 2119 "vespillo", 2120 "vester", 2121 "vestigium", 2122 "vestrum", 2123 "vetus", 2124 "via", 2125 "vicinus", 2126 "vicissitudo", 2127 "victoria", 2128 "victus", 2129 "videlicet", 2130 "video", 2131 "viduata", 2132 "viduo", 2133 "vigilo", 2134 "vigor", 2135 "vilicus", 2136 "vilis", 2137 "vilitas", 2138 "villa", 2139 "vinco", 2140 "vinculum", 2141 "vindico", 2142 "vinitor", 2143 "vinum", 2144 "vir", 2145 "virga", 2146 "virgo", 2147 "viridis", 2148 "viriliter", 2149 "virtus", 2150 "vis", 2151 "viscus", 2152 "vita", 2153 "vitiosus", 2154 "vitium", 2155 "vito", 2156 "vivo", 2157 "vix", 2158 "vobis", 2159 "vociferor", 2160 "voco", 2161 "volaticus", 2162 "volo", 2163 "volubilis", 2164 "voluntarius", 2165 "volup", 2166 "volutabrum", 2167 "volva", 2168 "vomer", 2169 "vomica", 2170 "vomito", 2171 "vorago", 2172 "vorax", 2173 "voro", 2174 "vos", 2175 "votum", 2176 "voveo", 2177 "vox", 2178 "vulariter", 2179 "vulgaris", 2180 "vulgivagus", 2181 "vulgo", 2182 "vulgus", 2183 "vulnero", 2184 "vulnus", 2185 "vulpes", 2186 "vulticulus", 2187 "vultuosus", 2188 "xiphias" 2189 ]; 2190 return choice(data, this.rnd); 2191 } 2192 2193 /// 2194 string databaseType() { 2195 auto data = [ 2196 "int", 2197 "varchar", 2198 "text", 2199 "date", 2200 "datetime", 2201 "tinyint", 2202 "time", 2203 "timestamp", 2204 "smallint", 2205 "mediumint", 2206 "bigint", 2207 "decimal", 2208 "float", 2209 "double", 2210 "real", 2211 "bit", 2212 "boolean", 2213 "serial", 2214 "blob", 2215 "binary", 2216 "enum", 2217 "set", 2218 "geometry", 2219 "point" 2220 ]; 2221 return choice(data, this.rnd); 2222 } 2223 2224 /// 2225 string databaseColumn() { 2226 auto data = [ 2227 "id", 2228 "title", 2229 "name", 2230 "email", 2231 "phone", 2232 "token", 2233 "group", 2234 "category", 2235 "password", 2236 "comment", 2237 "avatar", 2238 "status", 2239 "createdAt", 2240 "updatedAt" 2241 ]; 2242 return choice(data, this.rnd); 2243 } 2244 2245 /// 2246 string databaseCollation() { 2247 auto data = [ 2248 "utf8_unicode_ci", 2249 "utf8_general_ci", 2250 "utf8_bin", 2251 "ascii_bin", 2252 "ascii_general_ci", 2253 "cp1250_bin", 2254 "cp1250_general_ci" 2255 ]; 2256 return choice(data, this.rnd); 2257 } 2258 2259 /// 2260 string databaseEngine() { 2261 auto data = [ 2262 "InnoDB", 2263 "MyISAM", 2264 "MEMORY", 2265 "CSV", 2266 "BLACKHOLE", 2267 "ARCHIVE'" 2268 ]; 2269 return choice(data, this.rnd); 2270 } 2271 2272 /// 2273 string financeTransactionType() { 2274 auto data = [ 2275 "deposit", 2276 "withdrawal", 2277 "payment", 2278 "invoice'" 2279 ]; 2280 return choice(data, this.rnd); 2281 } 2282 2283 /// 2284 Currency financeCurrency() { 2285 auto data = [ 2286 Currency("North Korean Won", "KPW", "₩"), 2287 Currency("Zambian Kwacha", "ZMK", ""), 2288 Currency("Somoni", "TJS", ""), 2289 Currency("Liberian Dollar", "LRD", "$"), 2290 Currency("New Taiwan Dollar", "TWD", "NT$"), 2291 Currency("Baht", "THB", "฿"), 2292 Currency("Riel", "KHR", "៛"), 2293 Currency("Malaysian Ringgit", "MYR", "RM"), 2294 Currency("Afghani", "AFN", "؋"), 2295 Currency("Rupiah", "IDR", "Rp"), 2296 Currency("Brunei Dollar", "BND", "$"), 2297 Currency("Bermudian Dollar (customarily known as Bermuda Dollar)", "BMD", "$"), 2298 Currency("Euro", "EUR", "€"), 2299 Currency("Peso Uruguayo", "UYU", "$U"), 2300 Currency("Chilean Peso", "CLP", "$"), 2301 Currency("Norwegian Krone", "NOK", "kr"), 2302 Currency("Tugrik", "MNT", "₮"), 2303 Currency("Saudi Riyal", "SAR", "﷼"), 2304 Currency("Yuan Renminbi", "CNY", "¥"), 2305 Currency("Ethiopian Birr", "ETB", ""), 2306 Currency("Lari", "GEL", ""), 2307 Currency("Lilangeni", "SZL", ""), 2308 Currency("Syrian Pound", "SYP", "£"), 2309 Currency("Aruban Guilder", "AWG", "ƒ"), 2310 Currency("New Leu", "RON", "lei"), 2311 Currency("Jamaican Dollar", "JMD", "J$"), 2312 Currency("Malagasy Ariary", "MGA", ""), 2313 Currency("Moroccan Dirham", "MAD", ""), 2314 Currency("Libyan Dinar", "LYD", ""), 2315 Currency("Vatu", "VUV", ""), 2316 Currency("Canadian Dollar", "CAD", "$"), 2317 Currency("Danish Krone", "DKK", "kr"), 2318 Currency("Pound Sterling", "GBP", "£"), 2319 Currency("Ouguiya", "MRO", ""), 2320 Currency("Pula", "BWP", "P"), 2321 Currency("Sudanese Pound", "SDG", ""), 2322 Currency("Russian Ruble", "RUB", "руб"), 2323 Currency("Zimbabwe Dollar", "ZWL", ""), 2324 Currency("Cayman Islands Dollar", "KYD", "$"), 2325 Currency("Nuevo Sol", "PEN", "S/."), 2326 Currency("Bolivar Fuerte", "VEF", "Bs"), 2327 Currency("Platinum", "XPT", ""), 2328 Currency("Tanzanian Shilling", "TZS", ""), 2329 Currency("Lesotho Loti", "LSL", ""), 2330 Currency("Argentine Peso", "ARS", "$"), 2331 Currency("Hong Kong Dollar", "HKD", "$"), 2332 Currency("Boliviano boliviano", "BOB", "Bs"), 2333 Currency("Comoro Franc", "KMF", ""), 2334 Currency("Djibouti Franc", "DJF", ""), 2335 Currency("Pa\"anga", "TOP", ""), 2336 Currency("Nakfa", "ERN", ""), 2337 Currency("Kwacha", "MWK", ""), 2338 Currency("Brazilian Real", "BRL", "R$"), 2339 Currency("Cuban Peso Convertible", "CUC", "$"), 2340 Currency("Hryvnia", "UAH", "₴"), 2341 Currency("Namibia Dollar", "NAD", "N$"), 2342 Currency("Rufiyaa", "MVR", ""), 2343 Currency("Bhutanese Ngultrum", "BTN", "Nu"), 2344 Currency("Taka", "BDT", ""), 2345 Currency("East Caribbean Dollar", "XCD", "$"), 2346 Currency("Fiji Dollar", "FJD", "$"), 2347 Currency("Lempira", "HNL", "L"), 2348 Currency("Lithuanian Litas", "LTL", "Lt"), 2349 Currency("Bond Markets Units European Composite Unit (EURCO)", "XBA", ""), 2350 Currency("Somali Shilling", "SOS", "S"), 2351 Currency("Algerian Dinar", "DZD", ""), 2352 Currency("Kroon", "EEK", ""), 2353 Currency("Zloty", "PLN", "zł"), 2354 Currency("Solomon Islands Dollar", "SBD", "$"), 2355 Currency("Kina", "PGK", ""), 2356 Currency("Bahamian Dollar", "BSD", "$"), 2357 Currency("Naira", "NGN", "₦"), 2358 Currency("Uganda Shilling", "UGX", ""), 2359 Currency("Latvian Lats", "LVL", "Ls"), 2360 Currency("Cordoba Oro", "NIO", "C$"), 2361 Currency("European Unit of Account 17(E.U.A.-17)", "XBD", ""), 2362 Currency("Serbian Dinar", "RSD", "Дин."), 2363 Currency("Swedish Krona", "SEK", "kr"), 2364 Currency("Iceland Krona", "ISK", "kr"), 2365 Currency("Yemeni Rial", "YER", "﷼"), 2366 Currency("Iranian Rial", "IRR", "﷼"), 2367 Currency("Gibraltar Pound", "GIP", "£"), 2368 Currency("Leone", "SLL", ""), 2369 Currency("UAE Dirham", "AED", ""), 2370 Currency("Pakistan Rupee", "PKR", "₨"), 2371 Currency("Azerbaijanian Manat", "AZN", "ман"), 2372 Currency("El Salvador Colon", "SVC", "₡"), 2373 Currency("Trinidad and Tobago Dollar", "TTD", "TT$"), 2374 Currency("Mexican Peso", "MXN", "$"), 2375 Currency("Dobra", "STN", "Db"), 2376 Currency("Congolese Franc", "CDF", ""), 2377 Currency("Singapore Dollar", "SGD", "$"), 2378 Currency("Quetzal", "GTQ", "Q"), 2379 Currency("Dominican Peso", "DOP", "RD$"), 2380 Currency("Cuban Peso", "CUP", "₱"), 2381 Currency("Kenyan Shilling", "KES", ""), 2382 Currency("CFP Franc", "XPF", ""), 2383 Currency("Costa Rican Colon", "CRC", "₡"), 2384 Currency("Saint Helena Pound", "SHP", "£"), 2385 Currency("Kip", "LAK", "₭"), 2386 Currency("Lek", "ALL", "Lek"), 2387 Currency("Belize Dollar", "BZD", "BZ$"), 2388 Currency("Qatari Rial", "QAR", "﷼"), 2389 Currency("Forint", "HUF", "Ft"), 2390 Currency("Kwanza", "AOA", ""), 2391 Currency("Yen", "JPY", "¥"), 2392 Currency("Palladium", "XPD", ""), 2393 Currency("Colombian Peso", "COP", "$"), 2394 Currency("Kuwaiti Dinar", "KWD", ""), 2395 Currency("Rand", "ZAR", "R"), 2396 Currency("Egyptian Pound", "EGP", "£"), 2397 Currency("Iraqi Dinar", "IQD", ""), 2398 Currency("Metical", "MZN", "MT"), 2399 Currency("Lebanese Pound", "LBP", "£"), 2400 Currency("Belarussian Ruble", "BYR", "p."), 2401 Currency("Guarani", "PYG", "Gs"), 2402 Currency("Indian Rupee", "INR", "₹"), 2403 Currency("Codes specifically reserved for testing purposes", "XTS", ""), 2404 Currency("Barbados Dollar", "BBD", "$"), 2405 Currency("Mauritius Rupee", "MUR", "₨"), 2406 Currency("Bulgarian Lev", "BGN", "лв"), 2407 Currency("Tunisian Dinar", "TND", ""), 2408 Currency("Guyana Dollar", "GYD", "$"), 2409 Currency("Convertible Marks", "BAM", "KM"), 2410 Currency("European Monetary Unit (E.M.U.-6)", "XBB", ""), 2411 Currency("European Unit of Account 9(E.U.A.-9)", "XBC", ""), 2412 Currency("Guinea Franc", "GNF", ""), 2413 Currency("Dalasi", "GMD", ""), 2414 Currency("Czech Koruna", "CZK", "Kč"), 2415 Currency("Surinam Dollar", "SRD", "$"), 2416 Currency("Pataca", "MOP", ""), 2417 Currency("Swiss Franc", "CHF", "CHF"), 2418 Currency("UIC-Franc", "XFU", ""), 2419 Currency("Denar", "MKD", "ден"), 2420 Currency("Kyat", "MMK", ""), 2421 Currency("CFA Franc BEAC", "XAF", ""), 2422 Currency("Rial Omani", "OMR", "﷼"), 2423 Currency("Australian Dollar", "AUD", "$"), 2424 Currency("Won", "KRW", "₩"), 2425 Currency("CFA Franc BCEAO", "XOF", ""), 2426 Currency("Cape Verde Escudo", "CVE", ""), 2427 Currency("New Zealand Dollar", "NZD", "$"), 2428 Currency("Moldovan Leu", "MDL", ""), 2429 Currency("Bahraini Dinar", "BHD", ""), 2430 Currency("Manat", "TMT", ""), 2431 Currency("Gourde", "HTG", ""), 2432 Currency("Cedi", "GHS", ""), 2433 Currency("Nepalese Rupee", "NPR", "₨"), 2434 Currency("Seychelles Rupee", "SCR", "₨"), 2435 Currency("New Israeli Sheqel", "ILS", "₪"), 2436 Currency("Jordanian Dinar", "JOD", ""), 2437 Currency("Som", "KGS", "лв"), 2438 Currency("Rwanda Franc", "RWF", ""), 2439 Currency("Burundi Franc", "BIF", ""), 2440 Currency("Croatian Kuna", "HRK", "kn"), 2441 Currency("Armenian Dram", "AMD", ""), 2442 Currency("Sri Lanka Rupee", "LKR", "₨"), 2443 Currency("Tenge", "KZT", "лв"), 2444 Currency("Tala", "WST", ""), 2445 Currency("Uzbekistan Sum", "UZS", "лв"), 2446 Currency("Balboa", "PAB", "B/."), 2447 Currency("Silver", "XAG", ""), 2448 Currency("Dong", "VND", "₫"), 2449 Currency("US Dollar", "USD", "$"), 2450 Currency("Gold", "XAU", ""), 2451 Currency("Turkish Lira", "TRY", "₺"), 2452 Currency("SDR", "XDR", ""), 2453 Currency("Netherlands Antillian Guilder", "ANG", "ƒ"), 2454 Currency("Falkland Islands Pound", "FKP", "£"), 2455 Currency("Philippine Peso", "PHP", "Php") 2456 ]; 2457 return choice(data, this.rnd); 2458 } 2459 2460 /// 2461 string financeAccountType() { 2462 auto data = [ 2463 "Checking", 2464 "Savings", 2465 "Money Market", 2466 "Investment", 2467 "Home Loan", 2468 "Credit Card", 2469 "Auto Loan", 2470 "Personal Loan" 2471 ]; 2472 return choice(data, this.rnd); 2473 } 2474 2475 2476 /// 2477 string financeCreditCardCVV() { 2478 string ret; 2479 for(int i = 0; i < 3; ++i) { 2480 ret ~= to!string(uniform(0, 3, this.rnd)); 2481 } 2482 return ret; 2483 } 2484 2485 /// 2486 string financeCreditCard() { 2487 switch(uniform(0, 9, this.rnd)) { 2488 case 0: 2489 return financeCreditCardJcb(); 2490 case 1: 2491 return financeCreditCardInstapayment(); 2492 case 2: 2493 return financeCreditCardDiscover(); 2494 case 3: 2495 return financeCreditCardSwitch(); 2496 case 4: 2497 return financeCreditCardDinersClub(); 2498 case 5: 2499 return financeCreditCardSolo(); 2500 case 6: 2501 return financeCreditCardMastercard(); 2502 case 7: 2503 return financeCreditCardVisa(); 2504 case 8: 2505 return financeCreditCardAmericanExpress(); 2506 2507 default: 2508 assert(false); 2509 } 2510 assert(false); 2511 } 2512 2513 /// 2514 string financeCreditCardJcb() { 2515 auto data = [ 2516 "3528-####-####-###L", 2517 "3529-####-####-###L", 2518 "35[3-8]#-####-####-###L" 2519 ]; 2520 return this.digitBuild(choice(data, this.rnd)); 2521 } 2522 2523 /// 2524 string financeCreditCardInstapayment() { 2525 auto data = [ 2526 "63[7-9]#-####-####-###L'" 2527 ]; 2528 return this.digitBuild(choice(data, this.rnd)); 2529 } 2530 2531 /// 2532 string financeCreditCardDiscover() { 2533 auto data = [ 2534 "6011-####-####-###L", 2535 "65##-####-####-###L", 2536 "64[4-9]#-####-####-###L", 2537 "6011-62##-####-####-###L", 2538 "65##-62##-####-####-###L", 2539 "64[4-9]#-62##-####-####-###L" 2540 ]; 2541 return this.digitBuild(choice(data, this.rnd)); 2542 } 2543 2544 /// 2545 string financeCreditCardSwitch() { 2546 auto data = [ 2547 "6759-####-####-###L", 2548 "6759-####-####-####-#L", 2549 "6759-####-####-####-##L" 2550 ]; 2551 return this.digitBuild(choice(data, this.rnd)); 2552 } 2553 2554 /// 2555 string financeCreditCardDinersClub() { 2556 auto data = [ 2557 "30[0-5]#-######-###L", 2558 "36##-######-###L", 2559 "54##-####-####-###L" 2560 ]; 2561 return this.digitBuild(choice(data, this.rnd)); 2562 } 2563 2564 /// 2565 string financeCreditCardSolo() { 2566 auto data = [ 2567 "6767-####-####-###L", 2568 "6767-####-####-####-#L", 2569 "6767-####-####-####-##L" 2570 ]; 2571 return this.digitBuild(choice(data, this.rnd)); 2572 } 2573 2574 /// 2575 string financeCreditCardMastercard() { 2576 auto data = [ 2577 "5[1-5]##-####-####-###L", 2578 "6771-89##-####-###L'" 2579 ]; 2580 return this.digitBuild(choice(data, this.rnd)); 2581 } 2582 2583 /// 2584 string financeCreditCardVisa() { 2585 auto data = [ 2586 "4###########L", 2587 "4###-####-####-###L'" 2588 ]; 2589 return this.digitBuild(choice(data, this.rnd)); 2590 } 2591 2592 /// 2593 string financeCreditCardAmericanExpress() { 2594 auto data = [ 2595 "34##-######-####L", 2596 "37##-######-####L'" 2597 ]; 2598 return this.digitBuild(choice(data, this.rnd)); 2599 } 2600 2601 /// 2602 string animalHorse() { 2603 auto data = [ 2604 "American Albino", 2605 "Abaco Barb", 2606 "Abtenauer", 2607 "Abyssinian", 2608 "Aegidienberger", 2609 "Akhal-Teke", 2610 "Albanian Horse", 2611 "Altai Horse", 2612 "Altèr Real", 2613 "American Cream Draft", 2614 "American Indian Horse", 2615 "American Paint Horse", 2616 "American Quarter Horse", 2617 "American Saddlebred", 2618 "American Warmblood", 2619 "Andalusian Horse", 2620 "Andravida Horse", 2621 "Anglo-Arabian", 2622 "Anglo-Arabo-Sardo", 2623 "Anglo-Kabarda", 2624 "Appaloosa", 2625 "AraAppaloosa", 2626 "Arabian Horse", 2627 "Ardennes Horse", 2628 "Arenberg-Nordkirchen", 2629 "Argentine Criollo", 2630 "Asian wild Horse", 2631 "Assateague Horse", 2632 "Asturcón", 2633 "Augeron", 2634 "Australian Brumby", 2635 "Australian Draught Horse", 2636 "Australian Stock Horse", 2637 "Austrian Warmblood", 2638 "Auvergne Horse", 2639 "Auxois", 2640 "Azerbaijan Horse", 2641 "Azteca Horse", 2642 "Baise Horse", 2643 "Bale", 2644 "Balearic Horse", 2645 "Balikun Horse", 2646 "Baluchi Horse", 2647 "Banker Horse", 2648 "Barb Horse", 2649 "Bardigiano", 2650 "Bashkir Curly", 2651 "Basque Mountain Horse", 2652 "Bavarian Warmblood", 2653 "Belgian Half-blood", 2654 "Belgian Horse", 2655 "Belgian Warmblood ", 2656 "Bhutia Horse", 2657 "Black Forest Horse", 2658 "Blazer Horse", 2659 "Boerperd", 2660 "Borana", 2661 "Boulonnais Horse", 2662 "Brabant", 2663 "Brandenburger", 2664 "Brazilian Sport Horse", 2665 "Breton Horse", 2666 "Brumby", 2667 "Budyonny Horse", 2668 "Burguete Horse", 2669 "Burmese Horse", 2670 "Byelorussian Harness Horse", 2671 "Calabrese Horse", 2672 "Camargue Horse", 2673 "Camarillo White Horse", 2674 "Campeiro", 2675 "Campolina", 2676 "Canadian Horse", 2677 "Canadian Pacer", 2678 "Carolina Marsh Tacky", 2679 "Carthusian Horse", 2680 "Caspian Horse", 2681 "Castilian Horse", 2682 "Castillonnais", 2683 "Catria Horse", 2684 "Cavallo Romano della Maremma Laziale", 2685 "Cerbat Mustang", 2686 "Chickasaw Horse", 2687 "Chilean Corralero", 2688 "Choctaw Horse", 2689 "Cleveland Bay", 2690 "Clydesdale Horse", 2691 "Cob", 2692 "Coldblood Trotter", 2693 "Colonial Spanish Horse", 2694 "Colorado Ranger", 2695 "Comtois Horse", 2696 "Corsican Horse", 2697 "Costa Rican Saddle Horse", 2698 "Cretan Horse", 2699 "Criollo Horse", 2700 "Croatian Coldblood", 2701 "Cuban Criollo", 2702 "Cumberland Island Horse", 2703 "Curly Horse", 2704 "Czech Warmblood", 2705 "Daliboz", 2706 "Danish Warmblood", 2707 "Danube Delta Horse", 2708 "Dole Gudbrandsdal", 2709 "Don", 2710 "Dongola Horse", 2711 "Draft Trotter", 2712 "Dutch Harness Horse", 2713 "Dutch Heavy Draft", 2714 "Dutch Warmblood", 2715 "Dzungarian Horse", 2716 "East Bulgarian", 2717 "East Friesian Horse", 2718 "Estonian Draft", 2719 "Estonian Horse", 2720 "Falabella", 2721 "Faroese", 2722 "Finnhorse", 2723 "Fjord Horse", 2724 "Fleuve", 2725 "Florida Cracker Horse", 2726 "Foutanké", 2727 "Frederiksborg Horse", 2728 "Freiberger", 2729 "French Trotter", 2730 "Friesian Cross", 2731 "Friesian Horse", 2732 "Friesian Sporthorse", 2733 "Furioso-North Star", 2734 "Galiceño", 2735 "Galician Pony", 2736 "Gelderland Horse", 2737 "Georgian Grande Horse", 2738 "German Warmblood", 2739 "Giara Horse", 2740 "Gidran", 2741 "Groningen Horse", 2742 "Gypsy Horse", 2743 "Hackney Horse", 2744 "Haflinger", 2745 "Hanoverian Horse", 2746 "Heck Horse", 2747 "Heihe Horse", 2748 "Henson Horse", 2749 "Hequ Horse", 2750 "Hirzai", 2751 "Hispano-Bretón", 2752 "Holsteiner Horse", 2753 "Horro", 2754 "Hungarian Warmblood", 2755 "Icelandic Horse", 2756 "Iomud", 2757 "Irish Draught", 2758 "Irish Sport Horse sometimes called Irish Hunter", 2759 "Italian Heavy Draft", 2760 "Italian Trotter", 2761 "Jaca Navarra", 2762 "Jeju Horse", 2763 "Jutland Horse", 2764 "Kabarda Horse", 2765 "Kafa", 2766 "Kaimanawa Horses", 2767 "Kalmyk Horse", 2768 "Karabair", 2769 "Karabakh Horse", 2770 "Karachai Horse", 2771 "Karossier", 2772 "Kathiawari", 2773 "Kazakh Horse", 2774 "Kentucky Mountain Saddle Horse", 2775 "Kiger Mustang", 2776 "Kinsky Horse", 2777 "Kisber Felver", 2778 "Kiso Horse", 2779 "Kladruber", 2780 "Knabstrupper", 2781 "Konik", 2782 "Kundudo", 2783 "Kustanair", 2784 "Kyrgyz Horse", 2785 "Latvian Horse", 2786 "Lipizzan", 2787 "Lithuanian Heavy Draught", 2788 "Lokai", 2789 "Losino Horse", 2790 "Lusitano", 2791 "Lyngshest", 2792 "M'Bayar", 2793 "M'Par", 2794 "Mallorquín", 2795 "Malopolski", 2796 "Mangalarga", 2797 "Mangalarga Marchador", 2798 "Maremmano", 2799 "Marismeño Horse", 2800 "Marsh Tacky", 2801 "Marwari Horse", 2802 "Mecklenburger", 2803 "Međimurje Horse", 2804 "Menorquín", 2805 "Mérens Horse", 2806 "Messara Horse", 2807 "Metis Trotter", 2808 "Mezőhegyesi Sport Horse", 2809 "Miniature Horse", 2810 "Misaki Horse", 2811 "Missouri Fox Trotter", 2812 "Monchina", 2813 "Mongolian Horse", 2814 "Mongolian Wild Horse", 2815 "Monterufolino", 2816 "Morab", 2817 "Morgan Horse", 2818 "Mountain Pleasure Horse", 2819 "Moyle Horse", 2820 "Murakoz Horse", 2821 "Murgese", 2822 "Mustang Horse", 2823 "Namib Desert Horse", 2824 "Nangchen Horse", 2825 "National Show Horse", 2826 "Nez Perce Horse", 2827 "Nivernais Horse", 2828 "Nokota Horse", 2829 "Noma", 2830 "Nonius Horse", 2831 "Nooitgedachter", 2832 "Nordlandshest", 2833 "Noriker Horse", 2834 "Norman Cob", 2835 "North American Single-Footer Horse", 2836 "North Swedish Horse", 2837 "Norwegian Coldblood Trotter", 2838 "Norwegian Fjord", 2839 "Novokirghiz", 2840 "Oberlander Horse", 2841 "Ogaden", 2842 "Oldenburg Horse", 2843 "Orlov trotter", 2844 "Ostfriesen", 2845 "Paint", 2846 "Pampa Horse", 2847 "Paso Fino", 2848 "Pentro Horse", 2849 "Percheron", 2850 "Persano Horse", 2851 "Peruvian Paso", 2852 "Pintabian", 2853 "Pleven Horse", 2854 "Poitevin Horse", 2855 "Posavac Horse", 2856 "Pottok", 2857 "Pryor Mountain Mustang", 2858 "Przewalski's Horse", 2859 "Pura Raza Española", 2860 "Purosangue Orientale", 2861 "Qatgani", 2862 "Quarab", 2863 "Quarter Horse", 2864 "Racking Horse", 2865 "Retuerta Horse", 2866 "Rhenish German Coldblood", 2867 "Rhinelander Horse", 2868 "Riwoche Horse", 2869 "Rocky Mountain Horse", 2870 "Romanian Sporthorse", 2871 "Rottaler", 2872 "Russian Don", 2873 "Russian Heavy Draft", 2874 "Russian Trotter", 2875 "Saddlebred", 2876 "Salerno Horse", 2877 "Samolaco Horse", 2878 "San Fratello Horse", 2879 "Sarcidano Horse", 2880 "Sardinian Anglo-Arab", 2881 "Schleswig Coldblood", 2882 "Schwarzwälder Kaltblut", 2883 "Selale", 2884 "Sella Italiano", 2885 "Selle Français", 2886 "Shagya Arabian", 2887 "Shan Horse", 2888 "Shire Horse", 2889 "Siciliano Indigeno", 2890 "Silesian Horse", 2891 "Sokolsky Horse", 2892 "Sorraia", 2893 "South German Coldblood", 2894 "Soviet Heavy Draft", 2895 "Spanish Anglo-Arab", 2896 "Spanish Barb", 2897 "Spanish Jennet Horse", 2898 "Spanish Mustang", 2899 "Spanish Tarpan", 2900 "Spanish-Norman Horse", 2901 "Spiti Horse", 2902 "Spotted Saddle Horse", 2903 "Standardbred Horse", 2904 "Suffolk Punch", 2905 "Swedish Ardennes", 2906 "Swedish coldblood trotter", 2907 "Swedish Warmblood", 2908 "Swiss Warmblood", 2909 "Taishū Horse", 2910 "Takhi", 2911 "Tawleed", 2912 "Tchernomor", 2913 "Tennessee Walking Horse", 2914 "Tersk Horse", 2915 "Thoroughbred", 2916 "Tiger Horse", 2917 "Tinker Horse", 2918 "Tolfetano", 2919 "Tori Horse", 2920 "Trait Du Nord", 2921 "Trakehner", 2922 "Tsushima", 2923 "Tuigpaard", 2924 "Ukrainian Riding Horse", 2925 "Unmol Horse", 2926 "Uzunyayla", 2927 "Ventasso Horse", 2928 "Virginia Highlander", 2929 "Vlaamperd", 2930 "Vladimir Heavy Draft", 2931 "Vyatka", 2932 "Waler", 2933 "Waler Horse", 2934 "Walkaloosa", 2935 "Warlander", 2936 "Warmblood", 2937 "Welsh Cob", 2938 "Westphalian Horse", 2939 "Wielkopolski", 2940 "Württemberger", 2941 "Xilingol Horse", 2942 "Yakutian Horse", 2943 "Yili Horse", 2944 "Yonaguni Horse", 2945 "Zaniskari", 2946 "Žemaitukas", 2947 "Zhemaichu", 2948 "Zweibrücker" 2949 ]; 2950 return choice(data, this.rnd); 2951 } 2952 2953 /// 2954 string animalRodent() { 2955 auto data = [ 2956 "Abrocoma", 2957 "Abrocoma schistacea", 2958 "Aconaemys", 2959 "Aconaemys porteri", 2960 "African brush-tailed porcupine", 2961 "Andean mountain cavy", 2962 "Argentine tuco-tuco", 2963 "Ashy chinchilla rat", 2964 "Asiatic brush-tailed porcupine", 2965 "Atherurus", 2966 "Azara's agouti", 2967 "Azara's tuco-tuco", 2968 "Bahia porcupine", 2969 "Bathyergus", 2970 "Bathyergus janetta", 2971 "Bathyergus suillus", 2972 "Bennett's chinchilla rat", 2973 "Bicolored-spined porcupine", 2974 "Black agouti", 2975 "Black dwarf porcupine", 2976 "Black-rumped agouti", 2977 "Black-tailed hairy dwarf porcupine", 2978 "Bolivian chinchilla rat", 2979 "Bolivian tuco-tuco", 2980 "Bonetto's tuco-tuco", 2981 "Brandt's yellow-toothed cavy", 2982 "Brazilian guinea pig", 2983 "Brazilian porcupine", 2984 "Brazilian tuco-tuco", 2985 "Bridge's degu", 2986 "Brown hairy dwarf porcupine", 2987 "Budin's chinchilla rat", 2988 "A. budini", 2989 "Cape porcupine", 2990 "Catamarca tuco-tuco", 2991 "Cavia", 2992 "Central American agouti", 2993 "Chacoan tuco-tuco", 2994 "Chilean rock rat", 2995 "Chinchilla", 2996 "Coendou", 2997 "Coiban agouti", 2998 "Colburn's tuco-tuco", 2999 "Collared tuco-tuco", 3000 "Common degu", 3001 "Common yellow-toothed cavy", 3002 "Conover's tuco-tuco", 3003 "Coruro", 3004 "Crested agouti", 3005 "Crested porcupine", 3006 "Cryptomys", 3007 "Cryptomys bocagei", 3008 "Cryptomys damarensis", 3009 "Cryptomys foxi", 3010 "Cryptomys hottentotus", 3011 "Cryptomys mechowi", 3012 "Cryptomys ochraceocinereus", 3013 "Cryptomys zechi", 3014 "Ctenomys", 3015 "Cuniculus", 3016 "Cuscomys", 3017 "Cuscomys ashanika", 3018 "Dactylomys", 3019 "Dactylomys boliviensis", 3020 "Dactylomys dactylinus", 3021 "Dactylomys peruanus", 3022 "Dasyprocta", 3023 "Domestic guinea pig", 3024 "Emily's tuco-tuco", 3025 "Erethizon", 3026 "Famatina chinchilla rat", 3027 "Frosted hairy dwarf porcupine", 3028 "Fukomys", 3029 "Fukomys amatus", 3030 "Fukomys anselli", 3031 "Fukomys bocagei", 3032 "Fukomys damarensis", 3033 "Fukomys darlingi", 3034 "Fukomys foxi", 3035 "Fukomys ilariae", 3036 "Fukomys kafuensis", 3037 "Fukomys mechowii", 3038 "Fukomys micklemi", 3039 "Fukomys occlusus", 3040 "Fukomys ochraceocinereus", 3041 "Fukomys whytei", 3042 "Fukomys zechi", 3043 "Furtive tuco-tuco", 3044 "Galea", 3045 "Georychus", 3046 "Georychus capensis", 3047 "Golden viscacha-rat", 3048 "Goya tuco-tuco", 3049 "Greater guinea pig", 3050 "Green acouchi", 3051 "Haig's tuco-tuco", 3052 "Heliophobius", 3053 "Heliophobius argenteocinereus", 3054 "Heterocephalus", 3055 "Heterocephalus glaber", 3056 "Highland tuco-tuco", 3057 "Hystrix", 3058 "Indian porcupine", 3059 "Isla Mocha degu", 3060 "Kalinowski agouti", 3061 "Kannabateomys", 3062 "Kannabateomys amblyonyx", 3063 "Lagidium", 3064 "Lagostomus", 3065 "Lewis' tuco-tuco", 3066 "Long-tailed chinchilla", 3067 "Long-tailed porcupine", 3068 "Los Chalchaleros' viscacha-rat", 3069 "Lowland paca", 3070 "Magellanic tuco-tuco", 3071 "Malayan porcupine", 3072 "Maule tuco-tuco", 3073 "Mendoza tuco-tuco", 3074 "Mexican agouti", 3075 "Mexican hairy dwarf porcupine", 3076 "Microcavia", 3077 "Montane guinea pig", 3078 "Moon-toothed degu", 3079 "Mottled tuco-tuco", 3080 "Mountain degu", 3081 "Mountain paca", 3082 "Mountain viscacha-rat", 3083 "Myoprocta", 3084 "Natterer's tuco-tuco", 3085 "North American porcupine", 3086 "Northern viscacha", 3087 "Octodon", 3088 "Octodontomys", 3089 "Octomys", 3090 "Olallamys", 3091 "Olallamys albicauda", 3092 "Olallamys edax", 3093 "Orinoco agouti", 3094 "Paraguaian hairy dwarf porcupine", 3095 "Pearson's tuco-tuco", 3096 "Peruvian tuco-tuco", 3097 "Philippine porcupine", 3098 "Pipanacoctomys", 3099 "Plains viscacha", 3100 "Plains viscacha-rat", 3101 "Porteous' tuco-tuco", 3102 "Punta de Vacas chinchilla rat", 3103 "Red acouchi", 3104 "Red-rumped agouti", 3105 "Reddish tuco-tuco", 3106 "Rio Negro tuco-tuco", 3107 "Robust tuco-tuco", 3108 "Roosmalen's dwarf porcupine", 3109 "Rothschild's porcupine", 3110 "Ruatan Island agouti", 3111 "Sage's rock rat", 3112 "Salinoctomys", 3113 "Salta tuco-tuco", 3114 "San Luis tuco-tuco", 3115 "Santa Catarina's guinea pig", 3116 "Shiny guinea pig", 3117 "Shipton's mountain cavy", 3118 "Short-tailed chinchilla", 3119 "Silky tuco-tuco", 3120 "Social tuco-tuco", 3121 "Southern mountain cavy", 3122 "Southern tuco-tuco", 3123 "Southern viscacha", 3124 "Spalacopus", 3125 "Spix's yellow-toothed cavy", 3126 "Steinbach's tuco-tuco", 3127 "Streaked dwarf porcupine", 3128 "Strong tuco-tuco", 3129 "Stump-tailed porcupine", 3130 "Sumatran porcupine", 3131 "Sunda porcupine", 3132 "Talas tuco-tuco", 3133 "Tawny tuco-tuco", 3134 "Thick-spined porcupine", 3135 "Tiny tuco-tuco", 3136 "Trichys", 3137 "Tucuman tuco-tuco", 3138 "Tympanoctomys", 3139 "Uspallata chinchilla rat", 3140 "White-toothed tuco-tuco", 3141 "Wolffsohn's viscacha" 3142 ]; 3143 return choice(data, this.rnd); 3144 } 3145 3146 /// 3147 string animalCow() { 3148 auto data = [ 3149 "Aberdeen Angus", 3150 "Abergele", 3151 "Abigar", 3152 "Abondance", 3153 "Abyssinian Shorthorned Zebu", 3154 "Aceh", 3155 "Achham", 3156 "Adamawa", 3157 "Adaptaur", 3158 "Afar", 3159 "Africangus", 3160 "Afrikaner", 3161 "Agerolese", 3162 "Alambadi", 3163 "Alatau", 3164 "Albanian", 3165 "Albera", 3166 "Alderney", 3167 "Alentejana", 3168 "Aleutian wild cattle", 3169 "Aliad Dinka", 3170 "Alistana-Sanabresa", 3171 "Allmogekor", 3172 "Alur", 3173 "American", 3174 "American Angus", 3175 "American Beef Friesian", 3176 "American Brown Swiss", 3177 "American Milking Devon", 3178 "American White Park", 3179 "Amerifax", 3180 "Amrit Mahal", 3181 "Amsterdam Island cattle", 3182 "Anatolian Black", 3183 "Andalusian Black", 3184 "Andalusian Blond", 3185 "Andalusian Grey", 3186 "Angeln", 3187 "Angoni", 3188 "Ankina", 3189 "Ankole", 3190 "Ankole-Watusi", 3191 "Aracena", 3192 "Arado", 3193 "Argentine Criollo", 3194 "Argentine Friesian", 3195 "Armorican", 3196 "Arouquesa", 3197 "Arsi", 3198 "Asturian Mountain", 3199 "Asturian Valley", 3200 "Aubrac", 3201 "Aulie-Ata", 3202 "Aure et Saint-Girons", 3203 "Australian Braford", 3204 "Australian Brangus", 3205 "Australian Charbray", 3206 "Australian Friesian Sahiwal", 3207 "Australian Lowline", 3208 "Australian Milking Zebu", 3209 "Australian Shorthorn", 3210 "Austrian Simmental", 3211 "Austrian Yellow", 3212 "Avétonou", 3213 "Avileña-Negra Ibérica", 3214 "Aweil Dinka", 3215 "Ayrshire", 3216 "Azaouak", 3217 "Azebuado", 3218 "Azerbaijan Zebu", 3219 "Azores", 3220 "Bedit", 3221 "Breed", 3222 "Bachaur cattle", 3223 "Baherie cattle", 3224 "Bakosi cattle", 3225 "Balancer", 3226 "Baoule", 3227 "Bargur cattle", 3228 "Barrosã", 3229 "Barzona", 3230 "Bazadaise", 3231 "Beef Freisian", 3232 "Beefalo", 3233 "Beefmaker", 3234 "Beefmaster", 3235 "Begayt", 3236 "Belgian Blue", 3237 "Belgian Red", 3238 "Belgian Red Pied", 3239 "Belgian White-and-Red", 3240 "Belmont Red", 3241 "Belted Galloway", 3242 "Bernese", 3243 "Berrenda cattle", 3244 "Betizu", 3245 "Bianca Modenese", 3246 "Blaarkop", 3247 "Black Angus", 3248 "Black Baldy", 3249 "Black Hereford", 3250 "Blanca Cacereña", 3251 "Blanco Orejinegro BON", 3252 "Blonde d'Aquitaine", 3253 "Blue Albion", 3254 "Blue Grey", 3255 "Bohuskulla", 3256 "Bonsmara", 3257 "Boran", 3258 "Boškarin", 3259 "Braford", 3260 "Brahman", 3261 "Brahmousin", 3262 "Brangus", 3263 "Braunvieh", 3264 "Brava", 3265 "British White", 3266 "British Friesian", 3267 "Brown Carpathian", 3268 "Brown Caucasian", 3269 "Brown Swiss", 3270 "Bue Lingo", 3271 "Burlina", 3272 "Buša cattle", 3273 "Butana cattle", 3274 "Bushuyev", 3275 "Cedit", 3276 "Breed", 3277 "Cachena", 3278 "Caldelana", 3279 "Camargue", 3280 "Campbell Island cattle", 3281 "Canadian Speckle Park", 3282 "Canadienne", 3283 "Canaria", 3284 "Canchim", 3285 "Caracu", 3286 "Cárdena Andaluza", 3287 "Carinthian Blondvieh", 3288 "Carora", 3289 "Charbray", 3290 "Charolais", 3291 "Chateaubriand", 3292 "Chiangus", 3293 "Chianina", 3294 "Chillingham cattle", 3295 "Chinese Black Pied", 3296 "Cholistani", 3297 "Coloursided White Back", 3298 "Commercial", 3299 "Corriente", 3300 "Corsican cattle", 3301 "Costeño con Cuernos", 3302 "Crioulo Lageano", 3303 "Dedit", 3304 "Breed", 3305 "Dajal", 3306 "Dangi cattle", 3307 "Danish Black-Pied", 3308 "Danish Jersey", 3309 "Danish Red", 3310 "Deep Red cattle", 3311 "Deoni", 3312 "Devon", 3313 "Dexter cattle", 3314 "Dhanni", 3315 "Doayo cattle", 3316 "Doela", 3317 "Drakensberger", 3318 "Dølafe", 3319 "Droughtmaster", 3320 "Dulong", 3321 "Dutch Belted", 3322 "Dutch Friesian", 3323 "Dwarf Lulu", 3324 "Eedit", 3325 "Breed", 3326 "East Anatolian Red", 3327 "Eastern Finncattle", 3328 "Eastern Red Polled", 3329 "Enderby Island cattle", 3330 "English Longhorn", 3331 "Ennstaler Bergscheck", 3332 "Estonian Holstein", 3333 "Estonian Native", 3334 "Estonian Red cattle", 3335 "Évolène cattle", 3336 "Fedit", 3337 "Breed", 3338 "Fēng Cattle", 3339 "Finnish Ayrshire", 3340 "Finncattle", 3341 "Finnish Holstein-Friesian", 3342 "Fjäll", 3343 "Fleckvieh", 3344 "Florida Cracker cattle", 3345 "Fogera", 3346 "French Simmental", 3347 "Fribourgeoise", 3348 "Friesian Red and White", 3349 "Fulani Sudanese", 3350 "Gedit", 3351 "Breed", 3352 "Galician Blond", 3353 "Galloway cattle", 3354 "Gangatiri", 3355 "Gaolao", 3356 "Garvonesa", 3357 "Gascon cattle", 3358 "Gelbvieh", 3359 "Georgian Mountain cattle", 3360 "German Angus", 3361 "German Black Pied cattle", 3362 "German Black Pied Dairy", 3363 "German Red Pied", 3364 "Gir", 3365 "Glan cattle", 3366 "Gloucester", 3367 "Gobra", 3368 "Greek Shorthorn", 3369 "Greek Steppe", 3370 "Greyman cattle", 3371 "Gudali", 3372 "Guernsey cattle", 3373 "Guzerá", 3374 "Hedit", 3375 "Breed", 3376 "Hallikar4", 3377 "Hanwoo", 3378 "Hariana cattle", 3379 "Hartón del Valle", 3380 "Harzer Rotvieh", 3381 "Hays Converter", 3382 "Heck cattle", 3383 "Hereford", 3384 "Herens", 3385 "Hybridmaster", 3386 "Highland cattle", 3387 "Hinterwald", 3388 "Holando-Argentino", 3389 "Holstein Friesian cattle", 3390 "Horro", 3391 "Huáng Cattle", 3392 "Hungarian Grey", 3393 "Iedit", 3394 "Breed", 3395 "Iberian cattle", 3396 "Icelandic", 3397 "Illawarra cattle", 3398 "Improved Red and White", 3399 "Indo-Brazilian", 3400 "Irish Moiled", 3401 "Israeli Holstein", 3402 "Israeli Red", 3403 "Istoben cattle", 3404 "Istrian cattle", 3405 "Jedit", 3406 "Breed", 3407 "Jamaica Black", 3408 "Jamaica Hope", 3409 "Jamaica Red", 3410 "Japanese Brown", 3411 "Jarmelista", 3412 "Javari cattle", 3413 "Jersey cattle", 3414 "Jutland cattle", 3415 "Kedit", 3416 "Breed", 3417 "Kabin Buri cattle", 3418 "Kalmyk cattle", 3419 "Kangayam", 3420 "Kankrej", 3421 "Kamphaeng Saen cattle", 3422 "Karan Swiss", 3423 "Kasaragod Dwarf cattle", 3424 "Kathiawadi", 3425 "Kazakh Whiteheaded", 3426 "Kenana cattle", 3427 "Kenkatha cattle", 3428 "Kerry cattle", 3429 "Kherigarh", 3430 "Khillari cattle", 3431 "Kholomogory", 3432 "Korat Wagyu", 3433 "Kostroma cattle", 3434 "Krishna Valley cattle", 3435 "Kuri", 3436 "Kurgan cattle", 3437 "Ledit", 3438 "Breed", 3439 "La Reina cattle", 3440 "Lakenvelder cattle", 3441 "Lampurger", 3442 "Latvian Blue", 3443 "Latvian Brown", 3444 "Latvian Danish Red", 3445 "Lebedyn", 3446 "Levantina", 3447 "Limia cattle", 3448 "Limousin", 3449 "Limpurger", 3450 "Lincoln Red", 3451 "Lineback", 3452 "Lithuanian Black-and-White", 3453 "Lithuanian Light Grey", 3454 "Lithuanian Red", 3455 "Lithuanian White-Backed", 3456 "Lohani cattle", 3457 "Lourdais", 3458 "Lucerna cattle", 3459 "Luing", 3460 "Medit", 3461 "Breed", 3462 "Madagascar Zebu", 3463 "Madura", 3464 "Maine-Anjou", 3465 "Malnad Gidda", 3466 "Malvi", 3467 "Mandalong Special", 3468 "Mantequera Leonesa", 3469 "Maramureş Brown", 3470 "Marchigiana", 3471 "Maremmana", 3472 "Marinhoa", 3473 "Maronesa", 3474 "Masai", 3475 "Mashona", 3476 "Menorquina", 3477 "Mertolenga", 3478 "Meuse-Rhine-Issel", 3479 "Mewati", 3480 "Milking Shorthorn", 3481 "Minhota", 3482 "Mirandesa", 3483 "Mirkadim", 3484 "Mocăniţă", 3485 "Mollie", 3486 "Monchina", 3487 "Mongolian", 3488 "Montbéliarde", 3489 "Morucha", 3490 "Muturu", 3491 "Murboden", 3492 "Murnau-Werdenfels", 3493 "Murray Grey", 3494 "Nedit", 3495 "Breed", 3496 "Nagori", 3497 "N'Dama", 3498 "Negra Andaluza", 3499 "Nelore", 3500 "Nguni", 3501 "Nimari", 3502 "Normande", 3503 "North Bengal Grey", 3504 "Northern Finncattle", 3505 "Northern Shorthorn", 3506 "Norwegian Red", 3507 "Oedit]", 3508 "Breed", 3509 "Ongole", 3510 "Original Simmental", 3511 "Pedit", 3512 "Breed", 3513 "Pajuna", 3514 "Palmera", 3515 "Pantaneiro", 3516 "Parda Alpina", 3517 "Parthenaise", 3518 "Pasiega", 3519 "Pembroke", 3520 "Philippine Native", 3521 "Pie Rouge des Plaines", 3522 "Piedmontese cattle", 3523 "Pineywoods", 3524 "Pinzgauer", 3525 "Pirenaica", 3526 "Podolac", 3527 "Podolica", 3528 "Polish Black-and-White", 3529 "Polish Red", 3530 "Polled Hereford", 3531 "Poll Shorthorn", 3532 "Polled Shorthorn", 3533 "Ponwar", 3534 "Preta", 3535 "Punganur", 3536 "Pulikulam", 3537 "Pustertaler Sprinzen", 3538 "Qedit", 3539 "Breed", 3540 "Qinchaun", 3541 "Queensland Miniature Boran", 3542 "Redit", 3543 "Breed", 3544 "Ramo Grande", 3545 "Randall", 3546 "Raramuri Criollo", 3547 "Rathi", 3548 "Rätisches Grauvieh", 3549 "Raya", 3550 "Red Angus", 3551 "Red Brangus", 3552 "Red Chittagong", 3553 "Red Fulani", 3554 "Red Gorbatov", 3555 "Red Holstein", 3556 "Red Kandhari", 3557 "Red Mingrelian", 3558 "Red Poll", 3559 "Red Polled Østland", 3560 "Red Sindhi", 3561 "Retinta", 3562 "Riggit Galloway", 3563 "Ringamåla", 3564 "Rohjan", 3565 "Romagnola", 3566 "Romanian Bălţata", 3567 "Romanian Steppe Gray", 3568 "Romosinuano", 3569 "Russian Black Pied", 3570 "RX3", 3571 "Sedit", 3572 "Breed", 3573 "Sahiwal", 3574 "Salers", 3575 "Salorn", 3576 "Sanga", 3577 "Sanhe", 3578 "Santa Cruz", 3579 "Santa Gertrudis", 3580 "Sayaguesa", 3581 "Schwyz", 3582 "Selembu", 3583 "Senepol", 3584 "Serbian Pied", 3585 "Serbian Steppe", 3586 "Sheko", 3587 "Shetland", 3588 "Shorthorn", 3589 "Siboney de Cuba", 3590 "Simbrah", 3591 "Simford", 3592 "Simmental", 3593 "Siri", 3594 "South Devon", 3595 "Spanish Fighting Bull", 3596 "Speckle Park", 3597 "Square Meater", 3598 "Sussex", 3599 "Swedish Friesian", 3600 "Swedish Polled", 3601 "Swedish Red Pied", 3602 "Swedish Red Polled", 3603 "Swedish Red-and-White", 3604 "Tedit", 3605 "Breed", 3606 "Tabapuã", 3607 "Tarentaise", 3608 "Tasmanian Grey", 3609 "Tauros", 3610 "Telemark", 3611 "Texas Longhorn", 3612 "Texon", 3613 "Thai Black", 3614 "Thai Fighting Bull", 3615 "Thai Friesian", 3616 "Thai Milking Zebu", 3617 "Tharparkar", 3618 "Tswana", 3619 "Tudanca", 3620 "Tuli", 3621 "Tulim", 3622 "Turkish Grey Steppe", 3623 "Tux-Zillertal", 3624 "Tyrol Grey", 3625 "Uedit", 3626 "Breed", 3627 "Umblachery", 3628 "Ukrainian Grey", 3629 "Vedit", 3630 "Breed", 3631 "Valdostana Castana", 3632 "Valdostana Pezzata Nera", 3633 "Valdostana Pezzata Rossa", 3634 "Väneko", 3635 "Vaynol", 3636 "Vechur8", 3637 "Vestland Fjord", 3638 "Vestland Red Polled", 3639 "Vianesa", 3640 "Volinian Beef", 3641 "Vorderwald", 3642 "Vosgienne", 3643 "Wedit", 3644 "Breed", 3645 "Wagyu", 3646 "Waguli", 3647 "Wangus", 3648 "Welsh Black", 3649 "Western Finncattle", 3650 "White Cáceres", 3651 "White Fulani", 3652 "White Lamphun", 3653 "White Park", 3654 "Whitebred Shorthorn", 3655 "Xedit", 3656 "Breed", 3657 "Xingjiang Brown", 3658 "Yedit", 3659 "Breed", 3660 "Yakutian", 3661 "Yanbian", 3662 "Yanhuang", 3663 "Yurino", 3664 "Zedit", 3665 "Breed", 3666 "Żubroń", 3667 "Zebu" 3668 ]; 3669 return choice(data, this.rnd); 3670 } 3671 3672 /// 3673 string animalLion() { 3674 auto data = [ 3675 "Asiatic Lion", 3676 "Barbary Lion", 3677 "West African Lion", 3678 "Northeast Congo Lion", 3679 "Masai Lion", 3680 "Transvaal lion", 3681 "Cape lion" 3682 ]; 3683 return choice(data, this.rnd); 3684 } 3685 3686 /// 3687 string animalDog() { 3688 auto data = [ 3689 "Affenpinscher", 3690 "Afghan Hound", 3691 "Aidi", 3692 "Airedale Terrier", 3693 "Akbash", 3694 "Akita", 3695 "Alano Español", 3696 "Alapaha Blue Blood Bulldog", 3697 "Alaskan Husky", 3698 "Alaskan Klee Kai", 3699 "Alaskan Malamute", 3700 "Alopekis", 3701 "Alpine Dachsbracke", 3702 "American Bulldog", 3703 "American Bully", 3704 "American Cocker Spaniel", 3705 "American English Coonhound", 3706 "American Foxhound", 3707 "American Hairless Terrier", 3708 "American Pit Bull Terrier", 3709 "American Staffordshire Terrier", 3710 "American Water Spaniel", 3711 "Andalusian Hound", 3712 "Anglo-Français de Petite Vénerie", 3713 "Appenzeller Sennenhund", 3714 "Ariegeois", 3715 "Armant", 3716 "Armenian Gampr dog", 3717 "Artois Hound", 3718 "Australian Cattle Dog", 3719 "Australian Kelpie", 3720 "Australian Shepherd", 3721 "Australian Stumpy Tail Cattle Dog", 3722 "Australian Terrier", 3723 "Austrian Black and Tan Hound", 3724 "Austrian Pinscher", 3725 "Azawakh", 3726 "Bakharwal dog", 3727 "Banjara Hound", 3728 "Barbado da Terceira", 3729 "Barbet", 3730 "Basenji", 3731 "Basque Shepherd Dog", 3732 "Basset Artésien Normand", 3733 "Basset Bleu de Gascogne", 3734 "Basset Fauve de Bretagne", 3735 "Basset Hound", 3736 "Bavarian Mountain Hound", 3737 "Beagle", 3738 "Beagle-Harrier", 3739 "Belgian Shepherd", 3740 "Bearded Collie", 3741 "Beauceron", 3742 "Bedlington Terrier", 3743 "Bergamasco Shepherd", 3744 "Berger Picard", 3745 "Bernese Mountain Dog", 3746 "Bhotia", 3747 "Bichon Frisé", 3748 "Billy", 3749 "Black and Tan Coonhound", 3750 "Black Norwegian Elkhound", 3751 "Black Russian Terrier", 3752 "Black Mouth Cur", 3753 "Bloodhound", 3754 "Blue Lacy", 3755 "Blue Picardy Spaniel", 3756 "Bluetick Coonhound", 3757 "Boerboel", 3758 "Bohemian Shepherd", 3759 "Bolognese", 3760 "Border Collie", 3761 "Border Terrier", 3762 "Borzoi", 3763 "Bosnian Coarse-haired Hound", 3764 "Boston Terrier", 3765 "Bouvier des Ardennes", 3766 "Bouvier des Flandres", 3767 "Boxer", 3768 "Boykin Spaniel", 3769 "Bracco Italiano", 3770 "Braque d'Auvergne", 3771 "Braque de l'Ariège", 3772 "Braque du Bourbonnais", 3773 "Braque Francais", 3774 "Braque Saint-Germain", 3775 "Briard", 3776 "Briquet Griffon Vendéen", 3777 "Brittany", 3778 "Broholmer", 3779 "Bruno Jura Hound", 3780 "Brussels Griffon", 3781 "Bucovina Shepherd Dog", 3782 "Bull Arab", 3783 "Bull Terrier", 3784 "Bulldog", 3785 "Bullmastiff", 3786 "Bully Kutta", 3787 "Burgos Pointer", 3788 "Cairn Terrier", 3789 "Campeiro Bulldog", 3790 "Canaan Dog", 3791 "Canadian Eskimo Dog", 3792 "Cane Corso", 3793 "Cane di Oropa", 3794 "Cane Paratore", 3795 "Cantabrian Water Dog", 3796 "Can de Chira", 3797 "Cão da Serra de Aires", 3798 "Cão de Castro Laboreiro", 3799 "Cão de Gado Transmontano", 3800 "Cão Fila de São Miguel", 3801 "Cardigan Welsh Corgi", 3802 "Carea Castellano Manchego", 3803 "Carolina Dog", 3804 "Carpathian Shepherd Dog", 3805 "Catahoula Leopard Dog", 3806 "Catalan Sheepdog", 3807 "Caucasian Shepherd Dog", 3808 "Cavalier King Charles Spaniel", 3809 "Central Asian Shepherd Dog", 3810 "Cesky Fousek", 3811 "Cesky Terrier", 3812 "Chesapeake Bay Retriever", 3813 "Chien Français Blanc et Noir", 3814 "Chien Français Blanc et Orange", 3815 "Chien Français Tricolore", 3816 "Chihuahua", 3817 "Chilean Terrier", 3818 "Chinese Chongqing Dog", 3819 "Chinese Crested Dog", 3820 "Chinook", 3821 "Chippiparai", 3822 "Chongqing dog", 3823 "Chortai", 3824 "Chow Chow", 3825 "Cimarrón Uruguayo", 3826 "Cirneco dell'Etna", 3827 "Clumber Spaniel", 3828 "Colombian fino hound", 3829 "Coton de Tulear", 3830 "Cretan Hound", 3831 "Croatian Sheepdog", 3832 "Curly-Coated Retriever", 3833 "Cursinu", 3834 "Czechoslovakian Wolfdog", 3835 "Dachshund", 3836 "Dalmatian", 3837 "Dandie Dinmont Terrier", 3838 "Danish-Swedish Farmdog", 3839 "Denmark Feist", 3840 "Dingo", 3841 "Doberman Pinscher", 3842 "Dogo Argentino", 3843 "Dogo Guatemalteco", 3844 "Dogo Sardesco", 3845 "Dogue Brasileiro", 3846 "Dogue de Bordeaux", 3847 "Drentse Patrijshond", 3848 "Drever", 3849 "Dunker", 3850 "Dutch Shepherd", 3851 "Dutch Smoushond", 3852 "East Siberian Laika", 3853 "East European Shepherd", 3854 "English Cocker Spaniel", 3855 "English Foxhound", 3856 "English Mastiff", 3857 "English Setter", 3858 "English Shepherd", 3859 "English Springer Spaniel", 3860 "English Toy Terrier", 3861 "Entlebucher Mountain Dog", 3862 "Estonian Hound", 3863 "Estrela Mountain Dog", 3864 "Eurasier", 3865 "Field Spaniel", 3866 "Fila Brasileiro", 3867 "Finnish Hound", 3868 "Finnish Lapphund", 3869 "Finnish Spitz", 3870 "Flat-Coated Retriever", 3871 "French Bulldog", 3872 "French Spaniel", 3873 "Galgo Español", 3874 "Galician Shepherd Dog", 3875 "Garafian Shepherd", 3876 "Gascon Saintongeois", 3877 "Georgian Shepherd", 3878 "German Hound", 3879 "German Longhaired Pointer", 3880 "German Pinscher", 3881 "German Roughhaired Pointer", 3882 "German Shepherd Dog", 3883 "German Shorthaired Pointer", 3884 "German Spaniel", 3885 "German Spitz", 3886 "German Wirehaired Pointer", 3887 "Giant Schnauzer", 3888 "Glen of Imaal Terrier", 3889 "Golden Retriever", 3890 "Gończy Polski", 3891 "Gordon Setter", 3892 "Grand Anglo-Français Blanc et Noir", 3893 "Grand Anglo-Français Blanc et Orange", 3894 "Grand Anglo-Français Tricolore", 3895 "Grand Basset Griffon Vendéen", 3896 "Grand Bleu de Gascogne", 3897 "Grand Griffon Vendéen", 3898 "Great Dane", 3899 "Greater Swiss Mountain Dog", 3900 "Greek Harehound", 3901 "Greek Shepherd", 3902 "Greenland Dog", 3903 "Greyhound", 3904 "Griffon Bleu de Gascogne", 3905 "Griffon Fauve de Bretagne", 3906 "Griffon Nivernais", 3907 "Gull Dong", 3908 "Gull Terrier", 3909 "Hällefors Elkhound", 3910 "Hamiltonstövare", 3911 "Hanover Hound", 3912 "Harrier", 3913 "Havanese", 3914 "Hierran Wolfdog", 3915 "Hokkaido", 3916 "Hovawart", 3917 "Huntaway", 3918 "Hygen Hound", 3919 "Ibizan Hound", 3920 "Icelandic Sheepdog", 3921 "Indian pariah dog", 3922 "Indian Spitz", 3923 "Irish Red and White Setter", 3924 "Irish Setter", 3925 "Irish Terrier", 3926 "Irish Water Spaniel", 3927 "Irish Wolfhound", 3928 "Istrian Coarse-haired Hound", 3929 "Istrian Shorthaired Hound", 3930 "Italian Greyhound", 3931 "Jack Russell Terrier", 3932 "Jagdterrier", 3933 "Japanese Chin", 3934 "Japanese Spitz", 3935 "Japanese Terrier", 3936 "Jindo", 3937 "Jonangi", 3938 "Kai Ken", 3939 "Kaikadi", 3940 "Kangal Shepherd Dog", 3941 "Kanni", 3942 "Karakachan dog", 3943 "Karelian Bear Dog", 3944 "Kars", 3945 "Karst Shepherd", 3946 "Keeshond", 3947 "Kerry Beagle", 3948 "Kerry Blue Terrier", 3949 "King Charles Spaniel", 3950 "King Shepherd", 3951 "Kintamani", 3952 "Kishu", 3953 "Kokoni", 3954 "Kombai", 3955 "Komondor", 3956 "Kooikerhondje", 3957 "Koolie", 3958 "Koyun dog", 3959 "Kromfohrländer", 3960 "Kuchi", 3961 "Kuvasz", 3962 "Labrador Retriever", 3963 "Lagotto Romagnolo", 3964 "Lakeland Terrier", 3965 "Lancashire Heeler", 3966 "Landseer", 3967 "Lapponian Herder", 3968 "Large Münsterländer", 3969 "Leonberger", 3970 "Levriero Sardo", 3971 "Lhasa Apso", 3972 "Lithuanian Hound", 3973 "Löwchen", 3974 "Lupo Italiano", 3975 "Mackenzie River Husky", 3976 "Magyar agár", 3977 "Mahratta Greyhound", 3978 "Maltese", 3979 "Manchester Terrier", 3980 "Maremmano-Abruzzese Sheepdog", 3981 "McNab dog", 3982 "Miniature American Shepherd", 3983 "Miniature Bull Terrier", 3984 "Miniature Fox Terrier", 3985 "Miniature Pinscher", 3986 "Miniature Schnauzer", 3987 "Molossus of Epirus", 3988 "Montenegrin Mountain Hound", 3989 "Mountain Cur", 3990 "Mountain Feist", 3991 "Mucuchies", 3992 "Mudhol Hound", 3993 "Mudi", 3994 "Neapolitan Mastiff", 3995 "New Guinea Singing Dog", 3996 "New Zealand Heading Dog", 3997 "Newfoundland", 3998 "Norfolk Terrier", 3999 "Norrbottenspets", 4000 "Northern Inuit Dog", 4001 "Norwegian Buhund", 4002 "Norwegian Elkhound", 4003 "Norwegian Lundehund", 4004 "Norwich Terrier", 4005 "Nova Scotia Duck Tolling Retriever", 4006 "Old Croatian Sighthound", 4007 "Old Danish Pointer", 4008 "Old English Sheepdog", 4009 "Old English Terrier", 4010 "Olde English Bulldogge", 4011 "Otterhound", 4012 "Pachon Navarro", 4013 "Pampas Deerhound", 4014 "Paisley Terrier", 4015 "Papillon", 4016 "Parson Russell Terrier", 4017 "Pastore della Lessinia e del Lagorai", 4018 "Patagonian Sheepdog", 4019 "Patterdale Terrier", 4020 "Pekingese", 4021 "Pembroke Welsh Corgi", 4022 "Perro Majorero", 4023 "Perro de Pastor Mallorquin", 4024 "Perro de Presa Canario", 4025 "Perro de Presa Mallorquin", 4026 "Peruvian Inca Orchid", 4027 "Petit Basset Griffon Vendéen", 4028 "Petit Bleu de Gascogne", 4029 "Phalène", 4030 "Pharaoh Hound", 4031 "Phu Quoc Ridgeback", 4032 "Picardy Spaniel", 4033 "Plummer Terrier", 4034 "Plott Hound", 4035 "Podenco Canario", 4036 "Podenco Valenciano", 4037 "Pointer", 4038 "Poitevin", 4039 "Polish Greyhound", 4040 "Polish Hound", 4041 "Polish Lowland Sheepdog", 4042 "Polish Tatra Sheepdog", 4043 "Pomeranian", 4044 "Pont-Audemer Spaniel", 4045 "Poodle", 4046 "Porcelaine", 4047 "Portuguese Podengo", 4048 "Portuguese Pointer", 4049 "Portuguese Water Dog", 4050 "Posavac Hound", 4051 "Pražský Krysařík", 4052 "Pshdar Dog", 4053 "Pudelpointer", 4054 "Pug", 4055 "Puli", 4056 "Pumi", 4057 "Pungsan Dog", 4058 "Pyrenean Mastiff", 4059 "Pyrenean Mountain Dog", 4060 "Pyrenean Sheepdog", 4061 "Rafeiro do Alentejo", 4062 "Rajapalayam", 4063 "Rampur Greyhound", 4064 "Rat Terrier", 4065 "Ratonero Bodeguero Andaluz", 4066 "Ratonero Mallorquin", 4067 "Ratonero Murciano de Huerta", 4068 "Ratonero Valenciano", 4069 "Redbone Coonhound", 4070 "Rhodesian Ridgeback", 4071 "Romanian Mioritic Shepherd Dog", 4072 "Romanian Raven Shepherd Dog", 4073 "Rottweiler", 4074 "Rough Collie", 4075 "Russian Spaniel", 4076 "Russian Toy", 4077 "Russo-European Laika", 4078 "Saarloos Wolfdog", 4079 "Sabueso Español", 4080 "Saint Bernard", 4081 "Saint Hubert Jura Hound", 4082 "Saint-Usuge Spaniel", 4083 "Saluki", 4084 "Samoyed", 4085 "Sapsali", 4086 "Sarabi dog", 4087 "Šarplaninac", 4088 "Schapendoes", 4089 "Schillerstövare", 4090 "Schipperke", 4091 "Schweizer Laufhund", 4092 "Schweizerischer Niederlaufhund", 4093 "Scottish Deerhound", 4094 "Scottish Terrier", 4095 "Sealyham Terrier", 4096 "Segugio dell'Appennino", 4097 "Segugio Italiano", 4098 "Segugio Maremmano", 4099 "Seppala Siberian Sleddog", 4100 "Serbian Hound", 4101 "Serbian Tricolour Hound", 4102 "Serrano Bulldog", 4103 "Shar Pei", 4104 "Shetland Sheepdog", 4105 "Shiba Inu", 4106 "Shih Tzu", 4107 "Shikoku", 4108 "Shiloh Shepherd", 4109 "Siberian Husky", 4110 "Silken Windhound", 4111 "Silky Terrier", 4112 "Sinhala Hound", 4113 "Skye Terrier", 4114 "Sloughi", 4115 "Slovakian Wirehaired Pointer", 4116 "Slovenský Cuvac", 4117 "Slovenský Kopov", 4118 "Smalandstövare", 4119 "Small Greek domestic dog", 4120 "Small Münsterländer", 4121 "Smooth Collie", 4122 "Smooth Fox Terrier", 4123 "Soft-Coated Wheaten Terrier", 4124 "South Russian Ovcharka", 4125 "Spanish Mastiff", 4126 "Spanish Water Dog", 4127 "Spinone Italiano", 4128 "Sporting Lucas Terrier", 4129 "Sardinian Shepherd Dog", 4130 "Stabyhoun", 4131 "Staffordshire Bull Terrier", 4132 "Standard Schnauzer", 4133 "Stephens Stock", 4134 "Styrian Coarse-haired Hound", 4135 "Sussex Spaniel", 4136 "Swedish Elkhound", 4137 "Swedish Lapphund", 4138 "Swedish Vallhund", 4139 "Swedish White Elkhound", 4140 "Taigan", 4141 "Taiwan Dog", 4142 "Tamaskan Dog", 4143 "Teddy Roosevelt Terrier", 4144 "Telomian", 4145 "Tenterfield Terrier", 4146 "Terrier Brasileiro", 4147 "Thai Bangkaew Dog", 4148 "Thai Ridgeback", 4149 "Tibetan Mastiff", 4150 "Tibetan Spaniel", 4151 "Tibetan Terrier", 4152 "Tornjak", 4153 "Tosa", 4154 "Toy Fox Terrier", 4155 "Toy Manchester Terrier", 4156 "Transylvanian Hound", 4157 "Treeing Cur", 4158 "Treeing Feist", 4159 "Treeing Tennessee Brindle", 4160 "Treeing Walker Coonhound", 4161 "Trigg Hound", 4162 "Tyrolean Hound", 4163 "Vikhan", 4164 "Villano de Las Encartaciones", 4165 "Villanuco de Las Encartaciones", 4166 "Vizsla", 4167 "Volpino Italiano", 4168 "Weimaraner", 4169 "Welsh Sheepdog", 4170 "Welsh Springer Spaniel", 4171 "Welsh Terrier", 4172 "West Highland White Terrier", 4173 "West Siberian Laika", 4174 "Westphalian Dachsbracke", 4175 "Wetterhoun", 4176 "Whippet", 4177 "White Shepherd", 4178 "White Swiss Shepherd Dog", 4179 "Wire Fox Terrier", 4180 "Wirehaired Pointing Griffon", 4181 "Wirehaired Vizsla", 4182 "Xiasi Dog", 4183 "Xoloitzcuintli", 4184 "Yakutian Laika", 4185 "Yorkshire Terrier" 4186 ]; 4187 return choice(data, this.rnd); 4188 } 4189 4190 /// 4191 string animalRabbit() { 4192 auto data = [ 4193 "American", 4194 "American Chinchilla", 4195 "American Fuzzy Lop", 4196 "American Sable", 4197 "Argente Brun", 4198 "Belgian Hare", 4199 "Beveren", 4200 "Blanc de Hotot", 4201 "Britannia Petite", 4202 "Californian", 4203 "Champagne D’Argent", 4204 "Checkered Giant", 4205 "Cinnamon", 4206 "Crème D’Argent", 4207 "Dutch", 4208 "Dwarf Hotot", 4209 "English Angora", 4210 "English Lop", 4211 "English Spot", 4212 "Flemish Giant", 4213 "Florida White", 4214 "French Angora", 4215 "French Lop", 4216 "Giant Angora", 4217 "Giant Chinchilla", 4218 "Harlequin", 4219 "Havana", 4220 "Himalayan", 4221 "Holland Lop", 4222 "Jersey Wooly", 4223 "Lilac", 4224 "Lionhead", 4225 "Mini Lop", 4226 "Mini Rex", 4227 "Mini Satin", 4228 "Netherland Dwarf", 4229 "New Zealand", 4230 "Palomino", 4231 "Polish", 4232 "Rex", 4233 "Rhinelander", 4234 "Satin", 4235 "Satin Angora", 4236 "Silver", 4237 "Silver Fox", 4238 "Silver Marten", 4239 "Standard Chinchilla", 4240 "Tan", 4241 "Thrianta" 4242 ]; 4243 return choice(data, this.rnd); 4244 } 4245 4246 /// 4247 string animalCetacean() { 4248 auto data = [ 4249 "Blue Whale", 4250 "Fin Whale", 4251 "Sei Whale", 4252 "Sperm Whale", 4253 "Bryde’s whale", 4254 "Omura’s whale", 4255 "Humpback whale", 4256 "Long-Beaked Common Dolphin", 4257 "Short-Beaked Common Dolphin", 4258 "Bottlenose Dolphin", 4259 "Indo-Pacific Bottlenose Dolphin", 4260 "Northern Rightwhale Dolphin", 4261 "Southern Rightwhale Dolphin", 4262 "Tucuxi", 4263 "Costero", 4264 "Indo-Pacific Hump-backed Dolphin", 4265 "Chinese White Dolphin", 4266 "Atlantic Humpbacked Dolphin", 4267 "Atlantic Spotted Dolphin", 4268 "Clymene Dolphin", 4269 "Pantropical Spotted Dolphin", 4270 "Spinner Dolphin", 4271 "Striped Dolphin", 4272 "Rough-Toothed Dolphin", 4273 "Chilean Dolphin", 4274 "Commerson’s Dolphin", 4275 "Heaviside’s Dolphin", 4276 "Hector’s Dolphin", 4277 "Risso’s Dolphin", 4278 "Fraser’s Dolphin", 4279 "Atlantic White-Sided Dolphin", 4280 "Dusky Dolphin", 4281 "Hourglass Dolphin", 4282 "Pacific White-Sided Dolphin", 4283 "Peale’s Dolphin", 4284 "White-Beaked Dolphin", 4285 "Australian Snubfin Dolphin", 4286 "Irrawaddy Dolphin", 4287 "Melon-headed Whale", 4288 "Killer Whale (Orca)", 4289 "Pygmy Killer Whale", 4290 "False Killer Whale", 4291 "Long-finned Pilot Whale", 4292 "Short-finned Pilot Whale", 4293 "Guiana Dolphin", 4294 "Burrunan Dolphin", 4295 "Australian humpback Dolphin", 4296 "Amazon River Dolphin", 4297 "Chinese River Dolphin", 4298 "Ganges River Dolphin", 4299 "La Plata Dolphin", 4300 "Southern Bottlenose Whale", 4301 "Longman's Beaked Whale", 4302 "Arnoux's Beaked Whale" 4303 ]; 4304 return choice(data, this.rnd); 4305 } 4306 4307 /// 4308 string animalCrocodilia() { 4309 auto data = [ 4310 "Alligator mississippiensis", 4311 "Chinese Alligator", 4312 "Black Caiman", 4313 "Broad-snouted Caiman", 4314 "Spectacled Caiman", 4315 "Yacare Caiman", 4316 "Cuvier’s Dwarf Caiman", 4317 "Schneider’s Smooth-fronted Caiman", 4318 "African Slender-snouted Crocodile", 4319 "American Crocodile", 4320 "Australian Freshwater Crocodile", 4321 "Cuban Crocodile", 4322 "Dwarf Crocodile", 4323 "Morelet’s Crocodile", 4324 "Mugger Crocodile", 4325 "New Guinea Freshwater Crocodile", 4326 "Nile Crocodile", 4327 "West African Crocodile", 4328 "Orinoco Crocodile", 4329 "Philippine Crocodile", 4330 "Saltwater Crocodile", 4331 "Siamese Crocodile", 4332 "Gharial", 4333 "Tomistoma" 4334 ]; 4335 return choice(data, this.rnd); 4336 } 4337 4338 /// 4339 string animalCat() { 4340 auto data = [ 4341 "Abyssinian", 4342 "American Bobtail", 4343 "American Curl", 4344 "American Shorthair", 4345 "American Wirehair", 4346 "Balinese", 4347 "Bengal", 4348 "Birman", 4349 "Bombay", 4350 "British Shorthair", 4351 "Burmese", 4352 "Chartreux", 4353 "Chausie", 4354 "Cornish Rex", 4355 "Devon Rex", 4356 "Donskoy", 4357 "Egyptian Mau", 4358 "Exotic Shorthair", 4359 "Havana", 4360 "Highlander", 4361 "Himalayan", 4362 "Japanese Bobtail", 4363 "Korat", 4364 "Kurilian Bobtail", 4365 "LaPerm", 4366 "Maine Coon", 4367 "Manx", 4368 "Minskin", 4369 "Munchkin", 4370 "Nebelung", 4371 "Norwegian Forest Cat", 4372 "Ocicat", 4373 "Ojos Azules", 4374 "Oriental", 4375 "Persian", 4376 "Peterbald", 4377 "Pixiebob", 4378 "Ragdoll", 4379 "Russian Blue", 4380 "Savannah", 4381 "Scottish Fold", 4382 "Selkirk Rex", 4383 "Serengeti", 4384 "Siberian", 4385 "Siamese", 4386 "Singapura", 4387 "Snowshoe", 4388 "Sokoke", 4389 "Somali", 4390 "Sphynx", 4391 "Thai", 4392 "Tonkinese", 4393 "Toyger", 4394 "Turkish Angora", 4395 "Turkish Van" 4396 ]; 4397 return choice(data, this.rnd); 4398 } 4399 4400 /// 4401 string animalSnake() { 4402 auto data = [ 4403 "Viper Adder", 4404 "Common adder", 4405 "Death Adder", 4406 "Desert death adder", 4407 "Horned adder", 4408 "Long-nosed adder", 4409 "Many-horned adder", 4410 "Mountain adder", 4411 "Mud adder", 4412 "Namaqua dwarf adder", 4413 "Nightingale adder", 4414 "Peringuey's adder", 4415 "Puff adder", 4416 "African puff adder", 4417 "Rhombic night adder", 4418 "Sand adder", 4419 "Dwarf sand adder", 4420 "Namib dwarf sand adder", 4421 "Water adder", 4422 "Aesculapian snake", 4423 "Anaconda", 4424 "Bolivian anaconda", 4425 "De Schauensee's anaconda", 4426 "Green anaconda", 4427 "Yellow anaconda", 4428 "Arafura file snake", 4429 "Asp", 4430 "European asp", 4431 "Egyptian asp", 4432 "African beaked snake", 4433 "Ball Python", 4434 "Bird snake", 4435 "Black-headed snake", 4436 "Mexican black kingsnake", 4437 "Black rat snake", 4438 "Black snake", 4439 "Red-bellied black snake", 4440 "Blind snake", 4441 "Brahminy blind snake", 4442 "Texas blind snake", 4443 "Western blind snake", 4444 "Boa", 4445 "Abaco Island boa", 4446 "Amazon tree boa", 4447 "Boa constrictor", 4448 "Cuban boa", 4449 "Dumeril's boa", 4450 "Dwarf boa", 4451 "Emerald tree boa", 4452 "Hogg Island boa", 4453 "Jamaican boa", 4454 "Madagascar ground boa", 4455 "Madagascar tree boa", 4456 "Puerto Rican boa", 4457 "Rainbow boa", 4458 "Red-tailed boa", 4459 "Rosy boa", 4460 "Rubber boa", 4461 "Sand boa", 4462 "Tree boa", 4463 "Boiga", 4464 "Boomslang", 4465 "Brown snake", 4466 "Eastern brown snake", 4467 "Bull snake", 4468 "Bushmaster", 4469 "Dwarf beaked snake", 4470 "Rufous beaked snake", 4471 "Canebrake", 4472 "Cantil", 4473 "Cascabel", 4474 "Cat-eyed snake", 4475 "Banded cat-eyed snake", 4476 "Green cat-eyed snake", 4477 "Cat snake", 4478 "Andaman cat snake", 4479 "Beddome's cat snake", 4480 "Dog-toothed cat snake", 4481 "Forsten's cat snake", 4482 "Gold-ringed cat snake", 4483 "Gray cat snake", 4484 "Many-spotted cat snake", 4485 "Tawny cat snake", 4486 "Chicken snake", 4487 "Coachwhip snake", 4488 "Cobra", 4489 "Andaman cobra", 4490 "Arabian cobra", 4491 "Asian cobra", 4492 "Banded water cobra", 4493 "Black-necked cobra", 4494 "Black-necked spitting cobra", 4495 "Black tree cobra", 4496 "Burrowing cobra", 4497 "Cape cobra", 4498 "Caspian cobra", 4499 "Congo water cobra", 4500 "Common cobra", 4501 "Eastern water cobra", 4502 "Egyptian cobra", 4503 "Equatorial spitting cobra", 4504 "False cobra", 4505 "False water cobra", 4506 "Forest cobra", 4507 "Gold tree cobra", 4508 "Indian cobra", 4509 "Indochinese spitting cobra", 4510 "Javan spitting cobra", 4511 "King cobra", 4512 "Mandalay cobra", 4513 "Mozambique spitting cobra", 4514 "North Philippine cobra", 4515 "Nubian spitting cobra", 4516 "Philippine cobra", 4517 "Red spitting cobra", 4518 "Rinkhals cobra", 4519 "Shield-nosed cobra", 4520 "Sinai desert cobra", 4521 "Southern Indonesian spitting cobra", 4522 "Southern Philippine cobra", 4523 "Southwestern black spitting cobra", 4524 "Snouted cobra", 4525 "Spectacled cobra", 4526 "Spitting cobra", 4527 "Storm water cobra", 4528 "Thai cobra", 4529 "Taiwan cobra", 4530 "Zebra spitting cobra", 4531 "Collett's snake", 4532 "Congo snake", 4533 "Copperhead", 4534 "American copperhead", 4535 "Australian copperhead", 4536 "Coral snake", 4537 "Arizona coral snake", 4538 "Beddome's coral snake", 4539 "Brazilian coral snake", 4540 "Cape coral snake", 4541 "Harlequin coral snake", 4542 "High Woods coral snake", 4543 "Malayan long-glanded coral snake", 4544 "Texas Coral Snake", 4545 "Western coral snake", 4546 "Corn snake", 4547 "South eastern corn snake", 4548 "Cottonmouth", 4549 "Crowned snake", 4550 "Cuban wood snake", 4551 "Eastern hognose snake", 4552 "Egg-eater", 4553 "Eastern coral snake", 4554 "Fer-de-lance", 4555 "Fierce snake", 4556 "Fishing snake", 4557 "Flying snake", 4558 "Golden tree snake", 4559 "Indian flying snake", 4560 "Moluccan flying snake", 4561 "Ornate flying snake", 4562 "Paradise flying snake", 4563 "Twin-Barred tree snake", 4564 "Banded Flying Snake", 4565 "Fox snake", 4566 "three species of Pantherophis", 4567 "Forest flame snake", 4568 "Garter snake", 4569 "Checkered garter snake", 4570 "Common garter snake", 4571 "San Francisco garter snake", 4572 "Texas garter snake", 4573 "Cape gopher snake", 4574 "Grass snake", 4575 "Green snake", 4576 "Rough green snake", 4577 "Smooth green snake", 4578 "Ground snake", 4579 "Common ground snake", 4580 "Three-lined ground snake", 4581 "Western ground snake", 4582 "Habu", 4583 "Hognose snake", 4584 "Blonde hognose snake", 4585 "Dusty hognose snake", 4586 "Eastern hognose snake", 4587 "Jan's hognose snake", 4588 "Giant Malagasy hognose snake", 4589 "Mexican hognose snake", 4590 "South American hognose snake", 4591 "Hundred pacer", 4592 "Ikaheka snake", 4593 "Indigo snake", 4594 "Jamaican Tree Snake", 4595 "Keelback", 4596 "Asian keelback", 4597 "Assam keelback", 4598 "Black-striped keelback", 4599 "Buff striped keelback", 4600 "Burmese keelback", 4601 "Checkered keelback", 4602 "Common keelback", 4603 "Hill keelback", 4604 "Himalayan keelback", 4605 "Khasi Hills keelback", 4606 "Modest keelback", 4607 "Nicobar Island keelback", 4608 "Nilgiri keelback", 4609 "Orange-collared keelback", 4610 "Red-necked keelback", 4611 "Sikkim keelback", 4612 "Speckle-bellied keelback", 4613 "White-lipped keelback", 4614 "Wynaad keelback", 4615 "Yunnan keelback", 4616 "King brown", 4617 "King cobra", 4618 "King snake", 4619 "California kingsnake", 4620 "Desert kingsnake", 4621 "Grey-banded kingsnake", 4622 "North eastern king snake", 4623 "Prairie kingsnake", 4624 "Scarlet kingsnake", 4625 "Speckled kingsnake", 4626 "Krait", 4627 "Banded krait", 4628 "Blue krait", 4629 "Black krait", 4630 "Burmese krait", 4631 "Ceylon krait", 4632 "Indian krait", 4633 "Lesser black krait", 4634 "Malayan krait", 4635 "Many-banded krait", 4636 "Northeastern hill krait", 4637 "Red-headed krait", 4638 "Sind krait", 4639 "Large shield snake", 4640 "Lancehead", 4641 "Common lancehead", 4642 "Lora", 4643 "Grey Lora", 4644 "Lyre snake", 4645 "Baja California lyresnake", 4646 "Central American lyre snake", 4647 "Texas lyre snake", 4648 "Eastern lyre snake", 4649 "Machete savane", 4650 "Mamba", 4651 "Black mamba", 4652 "Green mamba", 4653 "Eastern green mamba", 4654 "Western green mamba", 4655 "Mamushi", 4656 "Mangrove snake", 4657 "Milk snake", 4658 "Moccasin snake", 4659 "Montpellier snake", 4660 "Mud snake", 4661 "Eastern mud snake", 4662 "Western mud snake", 4663 "Mussurana", 4664 "Night snake", 4665 "Cat-eyed night snake", 4666 "Texas night snake", 4667 "Nichell snake", 4668 "Narrowhead Garter Snake", 4669 "Nose-horned viper", 4670 "Rhinoceros viper", 4671 "Vipera ammodytes", 4672 "Parrot snake", 4673 "Mexican parrot snake", 4674 "Patchnose snake", 4675 "Perrotet's shieldtail snake", 4676 "Pine snake", 4677 "Pipe snake", 4678 "Asian pipe snake", 4679 "Dwarf pipe snake", 4680 "Red-tailed pipe snake", 4681 "Python", 4682 "African rock python", 4683 "Amethystine python", 4684 "Angolan python", 4685 "Australian scrub python", 4686 "Ball python", 4687 "Bismarck ringed python", 4688 "Black headed python", 4689 "Blood python", 4690 "Boelen python", 4691 "Borneo short-tailed python", 4692 "Bredl's python", 4693 "Brown water python", 4694 "Burmese python", 4695 "Calabar python", 4696 "Western carpet python", 4697 "Centralian carpet python", 4698 "Coastal carpet python", 4699 "Inland carpet python", 4700 "Jungle carpet python", 4701 "New Guinea carpet python", 4702 "Northwestern carpet python", 4703 "Southwestern carpet python", 4704 "Children's python", 4705 "Dauan Island water python", 4706 "Desert woma python", 4707 "Diamond python", 4708 "Flinders python", 4709 "Green tree python", 4710 "Halmahera python", 4711 "Indian python", 4712 "Indonesian water python", 4713 "Macklot's python", 4714 "Mollucan python", 4715 "Oenpelli python", 4716 "Olive python", 4717 "Papuan python", 4718 "Pygmy python", 4719 "Red blood python", 4720 "Reticulated python", 4721 "Kayaudi dwarf reticulated python", 4722 "Selayer reticulated python", 4723 "Rough-scaled python", 4724 "Royal python", 4725 "Savu python", 4726 "Spotted python", 4727 "Stimson's python", 4728 "Sumatran short-tailed python", 4729 "Tanimbar python", 4730 "Timor python", 4731 "Wetar Island python", 4732 "White-lipped python", 4733 "Brown white-lipped python", 4734 "Northern white-lipped python", 4735 "Southern white-lipped python", 4736 "Woma python", 4737 "Western woma python", 4738 "Queen snake", 4739 "Racer", 4740 "Bimini racer", 4741 "Buttermilk racer", 4742 "Eastern racer", 4743 "Eastern yellowbelly sad racer", 4744 "Mexican racer", 4745 "Southern black racer", 4746 "Tan racer", 4747 "West Indian racer", 4748 "Raddysnake", 4749 "Southwestern blackhead snake", 4750 "Rat snake", 4751 "Baird's rat snake", 4752 "Beauty rat snake", 4753 "Great Plains rat snake", 4754 "Green rat snake", 4755 "Japanese forest rat snake", 4756 "Japanese rat snake", 4757 "King rat snake", 4758 "Mandarin rat snake", 4759 "Persian rat snake", 4760 "Red-backed rat snake", 4761 "Twin-spotted rat snake", 4762 "Yellow-striped rat snake", 4763 "Manchurian Black Water Snake", 4764 "Rattlesnake", 4765 "Arizona black rattlesnake", 4766 "Aruba rattlesnake", 4767 "Chihuahuan ridge-nosed rattlesnake", 4768 "Coronado Island rattlesnake", 4769 "Durango rock rattlesnake", 4770 "Dusky pigmy rattlesnake", 4771 "Eastern diamondback rattlesnake", 4772 "Grand Canyon rattlesnake", 4773 "Great Basin rattlesnake", 4774 "Hopi rattlesnake", 4775 "Lance-headed rattlesnake", 4776 "Long-tailed rattlesnake", 4777 "Massasauga rattlesnake", 4778 "Mexican green rattlesnake", 4779 "Mexican west coast rattlesnake", 4780 "Midget faded rattlesnake", 4781 "Mojave rattlesnake", 4782 "Northern black-tailed rattlesnake", 4783 "Oaxacan small-headed rattlesnake", 4784 "Rattler", 4785 "Red diamond rattlesnake", 4786 "Southern Pacific rattlesnake", 4787 "Southwestern speckled rattlesnake", 4788 "Tancitaran dusky rattlesnake", 4789 "Tiger rattlesnake", 4790 "Timber rattlesnake", 4791 "Tropical rattlesnake", 4792 "Twin-spotted rattlesnake", 4793 "Uracoan rattlesnake", 4794 "Western diamondback rattlesnake", 4795 "Ribbon snake", 4796 "Rinkhals", 4797 "River jack", 4798 "Sea snake", 4799 "Annulated sea snake", 4800 "Beaked sea snake", 4801 "Dubois's sea snake", 4802 "Hardwicke's sea snake", 4803 "Hook Nosed Sea Snake", 4804 "Olive sea snake", 4805 "Pelagic sea snake", 4806 "Stoke's sea snake", 4807 "Yellow-banded sea snake", 4808 "Yellow-bellied sea snake", 4809 "Yellow-lipped sea snake", 4810 "Shield-tailed snake", 4811 "Sidewinder", 4812 "Colorado desert sidewinder", 4813 "Mojave desert sidewinder", 4814 "Sonoran sidewinder", 4815 "Small-eyed snake", 4816 "Smooth snake", 4817 "Brazilian smooth snake", 4818 "European smooth snake", 4819 "Stiletto snake", 4820 "Striped snake", 4821 "Japanese striped snake", 4822 "Sunbeam snake", 4823 "Taipan", 4824 "Central ranges taipan", 4825 "Coastal taipan", 4826 "Inland taipan", 4827 "Paupan taipan", 4828 "Tentacled snake", 4829 "Tic polonga", 4830 "Tiger snake", 4831 "Chappell Island tiger snake", 4832 "Common tiger snake", 4833 "Down's tiger snake", 4834 "Eastern tiger snake", 4835 "King Island tiger snake", 4836 "Krefft's tiger snake", 4837 "Peninsula tiger snake", 4838 "Tasmanian tiger snake", 4839 "Western tiger snake", 4840 "Tigre snake", 4841 "Tree snake", 4842 "Blanding's tree snake", 4843 "Blunt-headed tree snake", 4844 "Brown tree snake", 4845 "Long-nosed tree snake", 4846 "Many-banded tree snake", 4847 "Northern tree snake", 4848 "Trinket snake", 4849 "Black-banded trinket snake", 4850 "Twig snake", 4851 "African twig snake", 4852 "Twin Headed King Snake", 4853 "Titanboa", 4854 "Urutu", 4855 "Vine snake", 4856 "Asian Vine Snake", 4857 "Whip Snake", 4858 "American Vine Snake", 4859 "Mexican vine snake", 4860 "Viper", 4861 "Asp viper", 4862 "Bamboo viper", 4863 "Bluntnose viper", 4864 "Brazilian mud Viper", 4865 "Burrowing viper", 4866 "Bush viper", 4867 "Great Lakes bush viper", 4868 "Hairy bush viper", 4869 "Nitsche's bush viper", 4870 "Rough-scaled bush viper", 4871 "Spiny bush viper", 4872 "Carpet viper", 4873 "Crossed viper", 4874 "Cyclades blunt-nosed viper", 4875 "Eyelash viper", 4876 "False horned viper", 4877 "Fea's viper", 4878 "Fifty pacer", 4879 "Gaboon viper", 4880 "Hognosed viper", 4881 "Horned desert viper", 4882 "Horned viper", 4883 "Jumping viper", 4884 "Kaznakov's viper", 4885 "Leaf-nosed viper", 4886 "Leaf viper", 4887 "Levant viper", 4888 "Long-nosed viper", 4889 "McMahon's viper", 4890 "Mole viper", 4891 "Nose-horned viper", 4892 "Rhinoceros viper", 4893 "Vipera ammodytes", 4894 "Palestine viper", 4895 "Pallas' viper", 4896 "Palm viper", 4897 "Amazonian palm viper", 4898 "Black-speckled palm-pitviper", 4899 "Eyelash palm-pitviper", 4900 "Green palm viper", 4901 "Mexican palm-pitviper", 4902 "Guatemalan palm viper", 4903 "Honduran palm viper", 4904 "Siamese palm viper", 4905 "Side-striped palm-pitviper", 4906 "Yellow-lined palm viper", 4907 "Pit viper", 4908 "Banded pitviper", 4909 "Bamboo pitviper", 4910 "Barbour's pit viper", 4911 "Black-tailed horned pit viper", 4912 "Bornean pitviper", 4913 "Brongersma's pitviper", 4914 "Brown spotted pitviper[4]", 4915 "Cantor's pitviper", 4916 "Elegant pitviper", 4917 "Eyelash pit viper", 4918 "Fan-Si-Pan horned pitviper", 4919 "Flat-nosed pitviper", 4920 "Godman's pit viper", 4921 "Green tree pit viper", 4922 "Habu pit viper", 4923 "Hagen's pitviper", 4924 "Horseshoe pitviper", 4925 "Jerdon's pitviper", 4926 "Kanburian pit viper", 4927 "Kaulback's lance-headed pitviper", 4928 "Kham Plateau pitviper", 4929 "Large-eyed pitviper", 4930 "Malabar rock pitviper", 4931 "Malayan pit viper", 4932 "Mangrove pit viper", 4933 "Mangshan pitviper", 4934 "Motuo bamboo pitviper", 4935 "Nicobar bamboo pitviper", 4936 "Philippine pitviper", 4937 "Pointed-scaled pit viper[5]", 4938 "Red-tailed bamboo pitviper", 4939 "Schultze's pitviper", 4940 "Stejneger's bamboo pitviper", 4941 "Sri Lankan pit viper", 4942 "Temple pit viper", 4943 "Tibetan bamboo pitviper", 4944 "Tiger pit viper", 4945 "Undulated pit viper", 4946 "Wagler's pit viper", 4947 "Wirot's pit viper", 4948 "Portuguese viper", 4949 "Saw-scaled viper", 4950 "Schlegel's viper", 4951 "Sedge viper", 4952 "Sharp-nosed viper", 4953 "Snorkel viper", 4954 "Temple viper", 4955 "Tree viper", 4956 "Chinese tree viper", 4957 "Guatemalan tree viper", 4958 "Hutton's tree viper", 4959 "Indian tree viper", 4960 "Large-scaled tree viper", 4961 "Malcolm's tree viper", 4962 "Nitsche's tree viper", 4963 "Pope's tree viper", 4964 "Rough-scaled tree viper", 4965 "Rungwe tree viper", 4966 "Sumatran tree viper", 4967 "White-lipped tree viper", 4968 "Ursini's viper", 4969 "Western hog-nosed viper", 4970 "Wart snake", 4971 "Water moccasin", 4972 "Water snake", 4973 "Bocourt's water snake", 4974 "Northern water snake", 4975 "Whip snake", 4976 "Long-nosed whip snake", 4977 "Wolf snake", 4978 "African wolf snake", 4979 "Barred wolf snake", 4980 "Worm snake", 4981 "Common worm snake", 4982 "Longnosed worm snake", 4983 "Wutu", 4984 "Yarara", 4985 "Zebra snake" 4986 ]; 4987 return choice(data, this.rnd); 4988 } 4989 4990 /// 4991 string animalBird() { 4992 auto data = [ 4993 "Red-throated Loon", 4994 "Arctic Loon", 4995 "Pacific Loon", 4996 "Common Loon", 4997 "Yellow-billed Loon", 4998 "Least Grebe", 4999 "Pied-billed Grebe", 5000 "Horned Grebe", 5001 "Red-necked Grebe", 5002 "Eared Grebe", 5003 "Western Grebe", 5004 "Clark's Grebe", 5005 "Yellow-nosed Albatross", 5006 "Shy Albatross", 5007 "Black-browed Albatross", 5008 "Wandering Albatross", 5009 "Laysan Albatross", 5010 "Black-footed Albatross", 5011 "Short-tailed Albatross", 5012 "Northern Fulmar", 5013 "Herald Petrel", 5014 "Murphy's Petrel", 5015 "Mottled Petrel", 5016 "Black-capped Petrel", 5017 "Cook's Petrel", 5018 "Stejneger's Petrel", 5019 "White-chinned Petrel", 5020 "Streaked Shearwater", 5021 "Cory's Shearwater", 5022 "Pink-footed Shearwater", 5023 "Flesh-footed Shearwater", 5024 "Greater Shearwater", 5025 "Wedge-tailed Shearwater", 5026 "Buller's Shearwater", 5027 "Sooty Shearwater", 5028 "Short-tailed Shearwater", 5029 "Manx Shearwater", 5030 "Black-vented Shearwater", 5031 "Audubon's Shearwater", 5032 "Little Shearwater", 5033 "Wilson's Storm-Petrel", 5034 "White-faced Storm-Petrel", 5035 "European Storm-Petrel", 5036 "Fork-tailed Storm-Petrel", 5037 "Leach's Storm-Petrel", 5038 "Ashy Storm-Petrel", 5039 "Band-rumped Storm-Petrel", 5040 "Wedge-rumped Storm-Petrel", 5041 "Black Storm-Petrel", 5042 "Least Storm-Petrel", 5043 "White-tailed Tropicbird", 5044 "Red-billed Tropicbird", 5045 "Red-tailed Tropicbird", 5046 "Masked Booby", 5047 "Blue-footed Booby", 5048 "Brown Booby", 5049 "Red-footed Booby", 5050 "Northern Gannet", 5051 "American White Pelican", 5052 "Brown Pelican", 5053 "Brandt's Cormorant", 5054 "Neotropic Cormorant", 5055 "Double-crested Cormorant", 5056 "Great Cormorant", 5057 "Red-faced Cormorant", 5058 "Pelagic Cormorant", 5059 "Anhinga", 5060 "Magnificent Frigatebird", 5061 "Great Frigatebird", 5062 "Lesser Frigatebird", 5063 "American Bittern", 5064 "Yellow Bittern", 5065 "Least Bittern", 5066 "Great Blue Heron", 5067 "Great Egret", 5068 "Chinese Egret", 5069 "Little Egret", 5070 "Western Reef-Heron", 5071 "Snowy Egret", 5072 "Little Blue Heron", 5073 "Tricolored Heron", 5074 "Reddish Egret", 5075 "Cattle Egret", 5076 "Green Heron", 5077 "Black-crowned Night-Heron", 5078 "Yellow-crowned Night-Heron", 5079 "White Ibis", 5080 "Scarlet Ibis", 5081 "Glossy Ibis", 5082 "White-faced Ibis", 5083 "Roseate Spoonbill", 5084 "Jabiru", 5085 "Wood Stork", 5086 "Black Vulture", 5087 "Turkey Vulture", 5088 "California Condor", 5089 "Greater Flamingo", 5090 "Black-bellied Whistling-Duck", 5091 "Fulvous Whistling-Duck", 5092 "Bean Goose", 5093 "Pink-footed Goose", 5094 "Greater White-fronted Goose", 5095 "Lesser White-fronted Goose", 5096 "Emperor Goose", 5097 "Snow Goose", 5098 "Ross's Goose", 5099 "Canada Goose", 5100 "Brant", 5101 "Barnacle Goose", 5102 "Mute Swan", 5103 "Trumpeter Swan", 5104 "Tundra Swan", 5105 "Whooper Swan", 5106 "Muscovy Duck", 5107 "Wood Duck", 5108 "Gadwall", 5109 "Falcated Duck", 5110 "Eurasian Wigeon", 5111 "American Wigeon", 5112 "American Black Duck", 5113 "Mallard", 5114 "Mottled Duck", 5115 "Spot-billed Duck", 5116 "Blue-winged Teal", 5117 "Cinnamon Teal", 5118 "Northern Shoveler", 5119 "White-cheeked Pintail", 5120 "Northern Pintail", 5121 "Garganey", 5122 "Baikal Teal", 5123 "Green-winged Teal", 5124 "Canvasback", 5125 "Redhead", 5126 "Common Pochard", 5127 "Ring-necked Duck", 5128 "Tufted Duck", 5129 "Greater Scaup", 5130 "Lesser Scaup", 5131 "Steller's Eider", 5132 "Spectacled Eider", 5133 "King Eider", 5134 "Common Eider", 5135 "Harlequin Duck", 5136 "Labrador Duck", 5137 "Surf Scoter", 5138 "White-winged Scoter", 5139 "Black Scoter", 5140 "Oldsquaw", 5141 "Bufflehead", 5142 "Common Goldeneye", 5143 "Barrow's Goldeneye", 5144 "Smew", 5145 "Hooded Merganser", 5146 "Common Merganser", 5147 "Red-breasted Merganser", 5148 "Masked Duck", 5149 "Ruddy Duck", 5150 "Osprey", 5151 "Hook-billed Kite", 5152 "Swallow-tailed Kite", 5153 "White-tailed Kite", 5154 "Snail Kite", 5155 "Mississippi Kite", 5156 "Bald Eagle", 5157 "White-tailed Eagle", 5158 "Steller's Sea-Eagle", 5159 "Northern Harrier", 5160 "Sharp-shinned Hawk", 5161 "Cooper's Hawk", 5162 "Northern Goshawk", 5163 "Crane Hawk", 5164 "Gray Hawk", 5165 "Common Black-Hawk", 5166 "Harris's Hawk", 5167 "Roadside Hawk", 5168 "Red-shouldered Hawk", 5169 "Broad-winged Hawk", 5170 "Short-tailed Hawk", 5171 "Swainson's Hawk", 5172 "White-tailed Hawk", 5173 "Zone-tailed Hawk", 5174 "Red-tailed Hawk", 5175 "Ferruginous Hawk", 5176 "Rough-legged Hawk", 5177 "Golden Eagle", 5178 "Collared Forest-Falcon", 5179 "Crested Caracara", 5180 "Eurasian Kestrel", 5181 "American Kestrel", 5182 "Merlin", 5183 "Eurasian Hobby", 5184 "Aplomado Falcon", 5185 "Gyrfalcon", 5186 "Peregrine Falcon", 5187 "Prairie Falcon", 5188 "Plain Chachalaca", 5189 "Chukar", 5190 "Himalayan Snowcock", 5191 "Gray Partridge", 5192 "Ring-necked Pheasant", 5193 "Ruffed Grouse", 5194 "Sage Grouse", 5195 "Spruce Grouse", 5196 "Willow Ptarmigan", 5197 "Rock Ptarmigan", 5198 "White-tailed Ptarmigan", 5199 "Blue Grouse", 5200 "Sharp-tailed Grouse", 5201 "Greater Prairie-chicken", 5202 "Lesser Prairie-chicken", 5203 "Wild Turkey", 5204 "Mountain Quail", 5205 "Scaled Quail", 5206 "California Quail", 5207 "Gambel's Quail", 5208 "Northern Bobwhite", 5209 "Montezuma Quail", 5210 "Yellow Rail", 5211 "Black Rail", 5212 "Corn Crake", 5213 "Clapper Rail", 5214 "King Rail", 5215 "Virginia Rail", 5216 "Sora", 5217 "Paint-billed Crake", 5218 "Spotted Rail", 5219 "Purple Gallinule", 5220 "Azure Gallinule", 5221 "Common Moorhen", 5222 "Eurasian Coot", 5223 "American Coot", 5224 "Limpkin", 5225 "Sandhill Crane", 5226 "Common Crane", 5227 "Whooping Crane", 5228 "Double-striped Thick-knee", 5229 "Northern Lapwing", 5230 "Black-bellied Plover", 5231 "European Golden-Plover", 5232 "American Golden-Plover", 5233 "Pacific Golden-Plover", 5234 "Mongolian Plover", 5235 "Collared Plover", 5236 "Snowy Plover", 5237 "Wilson's Plover", 5238 "Common Ringed Plover", 5239 "Semipalmated Plover", 5240 "Piping Plover", 5241 "Little Ringed Plover", 5242 "Killdeer", 5243 "Mountain Plover", 5244 "Eurasian Dotterel", 5245 "Eurasian Oystercatcher", 5246 "American Oystercatcher", 5247 "Black Oystercatcher", 5248 "Black-winged Stilt", 5249 "Black-necked Stilt", 5250 "American Avocet", 5251 "Northern Jacana", 5252 "Common Greenshank", 5253 "Greater Yellowlegs", 5254 "Lesser Yellowlegs", 5255 "Marsh Sandpiper", 5256 "Spotted Redshank", 5257 "Wood Sandpiper", 5258 "Green Sandpiper", 5259 "Solitary Sandpiper", 5260 "Willet", 5261 "Wandering Tattler", 5262 "Gray-tailed Tattler", 5263 "Common Sandpiper", 5264 "Spotted Sandpiper", 5265 "Terek Sandpiper", 5266 "Upland Sandpiper", 5267 "Little Curlew", 5268 "Eskimo Curlew", 5269 "Whimbrel", 5270 "Bristle-thighed Curlew", 5271 "Far Eastern Curlew", 5272 "Slender-billed Curlew", 5273 "Eurasian Curlew", 5274 "Long-billed Curlew", 5275 "Black-tailed Godwit", 5276 "Hudsonian Godwit", 5277 "Bar-tailed Godwit", 5278 "Marbled Godwit", 5279 "Ruddy Turnstone", 5280 "Black Turnstone", 5281 "Surfbird", 5282 "Great Knot", 5283 "Red Knot", 5284 "Sanderling", 5285 "Semipalmated Sandpiper", 5286 "Western Sandpiper", 5287 "Red-necked Stint", 5288 "Little Stint", 5289 "Temminck's Stint", 5290 "Long-toed Stint", 5291 "Least Sandpiper", 5292 "White-rumped Sandpiper", 5293 "Baird's Sandpiper", 5294 "Pectoral Sandpiper", 5295 "Sharp-tailed Sandpiper", 5296 "Purple Sandpiper", 5297 "Rock Sandpiper", 5298 "Dunlin", 5299 "Curlew Sandpiper", 5300 "Stilt Sandpiper", 5301 "Spoonbill Sandpiper", 5302 "Broad-billed Sandpiper", 5303 "Buff-breasted Sandpiper", 5304 "Ruff", 5305 "Short-billed Dowitcher", 5306 "Long-billed Dowitcher", 5307 "Jack Snipe", 5308 "Common Snipe", 5309 "Pin-tailed Snipe", 5310 "Eurasian Woodcock", 5311 "American Woodcock", 5312 "Wilson's Phalarope", 5313 "Red-necked Phalarope", 5314 "Red Phalarope", 5315 "Oriental Pratincole", 5316 "Great Skua", 5317 "South Polar Skua", 5318 "Pomarine Jaeger", 5319 "Parasitic Jaeger", 5320 "Long-tailed Jaeger", 5321 "Laughing Gull", 5322 "Franklin's Gull", 5323 "Little Gull", 5324 "Black-headed Gull", 5325 "Bonaparte's Gull", 5326 "Heermann's Gull", 5327 "Band-tailed Gull", 5328 "Black-tailed Gull", 5329 "Mew Gull", 5330 "Ring-billed Gull", 5331 "California Gull", 5332 "Herring Gull", 5333 "Yellow-legged Gull", 5334 "Thayer's Gull", 5335 "Iceland Gull", 5336 "Lesser Black-backed Gull", 5337 "Slaty-backed Gull", 5338 "Yellow-footed Gull", 5339 "Western Gull", 5340 "Glaucous-winged Gull", 5341 "Glaucous Gull", 5342 "Great Black-backed Gull", 5343 "Sabine's Gull", 5344 "Black-legged Kittiwake", 5345 "Red-legged Kittiwake", 5346 "Ross's Gull", 5347 "Ivory Gull", 5348 "Gull-billed Tern", 5349 "Caspian Tern", 5350 "Royal Tern", 5351 "Elegant Tern", 5352 "Sandwich Tern", 5353 "Roseate Tern", 5354 "Common Tern", 5355 "Arctic Tern", 5356 "Forster's Tern", 5357 "Least Tern", 5358 "Aleutian Tern", 5359 "Bridled Tern", 5360 "Sooty Tern", 5361 "Large-billed Tern", 5362 "White-winged Tern", 5363 "Whiskered Tern", 5364 "Black Tern", 5365 "Brown Noddy", 5366 "Black Noddy", 5367 "Black Skimmer", 5368 "Dovekie", 5369 "Common Murre", 5370 "Thick-billed Murre", 5371 "Razorbill", 5372 "Great Auk", 5373 "Black Guillemot", 5374 "Pigeon Guillemot", 5375 "Long-billed Murrelet", 5376 "Marbled Murrelet", 5377 "Kittlitz's Murrelet", 5378 "Xantus's Murrelet", 5379 "Craveri's Murrelet", 5380 "Ancient Murrelet", 5381 "Cassin's Auklet", 5382 "Parakeet Auklet", 5383 "Least Auklet", 5384 "Whiskered Auklet", 5385 "Crested Auklet", 5386 "Rhinoceros Auklet", 5387 "Atlantic Puffin", 5388 "Horned Puffin", 5389 "Tufted Puffin", 5390 "Rock Dove", 5391 "Scaly-naped Pigeon", 5392 "White-crowned Pigeon", 5393 "Red-billed Pigeon", 5394 "Band-tailed Pigeon", 5395 "Oriental Turtle-Dove", 5396 "European Turtle-Dove", 5397 "Eurasian Collared-Dove", 5398 "Spotted Dove", 5399 "White-winged Dove", 5400 "Zenaida Dove", 5401 "Mourning Dove", 5402 "Passenger Pigeon", 5403 "Inca Dove", 5404 "Common Ground-Dove", 5405 "Ruddy Ground-Dove", 5406 "White-tipped Dove", 5407 "Key West Quail-Dove", 5408 "Ruddy Quail-Dove", 5409 "Budgerigar", 5410 "Monk Parakeet", 5411 "Carolina Parakeet", 5412 "Thick-billed Parrot", 5413 "White-winged Parakeet", 5414 "Red-crowned Parrot", 5415 "Common Cuckoo", 5416 "Oriental Cuckoo", 5417 "Black-billed Cuckoo", 5418 "Yellow-billed Cuckoo", 5419 "Mangrove Cuckoo", 5420 "Greater Roadrunner", 5421 "Smooth-billed Ani", 5422 "Groove-billed Ani", 5423 "Barn Owl", 5424 "Flammulated Owl", 5425 "Oriental Scops-Owl", 5426 "Western Screech-Owl", 5427 "Eastern Screech-Owl", 5428 "Whiskered Screech-Owl", 5429 "Great Horned Owl", 5430 "Snowy Owl", 5431 "Northern Hawk Owl", 5432 "Northern Pygmy-Owl", 5433 "Ferruginous Pygmy-Owl", 5434 "Elf Owl", 5435 "Burrowing Owl", 5436 "Mottled Owl", 5437 "Spotted Owl", 5438 "Barred Owl", 5439 "Great Gray Owl", 5440 "Long-eared Owl", 5441 "Short-eared Owl", 5442 "Boreal Owl", 5443 "Northern Saw-whet Owl", 5444 "Lesser Nighthawk", 5445 "Common Nighthawk", 5446 "Antillean Nighthawk", 5447 "Common Pauraque", 5448 "Common Poorwill", 5449 "Chuck-will's-widow", 5450 "Buff-collared Nightjar", 5451 "Whip-poor-will", 5452 "Jungle Nightjar", 5453 "Black Swift", 5454 "White-collared Swift", 5455 "Chimney Swift", 5456 "Vaux's Swift", 5457 "White-throated Needletail", 5458 "Common Swift", 5459 "Fork-tailed Swift", 5460 "White-throated Swift", 5461 "Antillean Palm Swift", 5462 "Green Violet-ear", 5463 "Green-breasted Mango", 5464 "Broad-billed Hummingbird", 5465 "White-eared Hummingbird", 5466 "Xantus's Hummingbird", 5467 "Berylline Hummingbird", 5468 "Buff-bellied Hummingbird", 5469 "Cinnamon Hummingbird", 5470 "Violet-crowned Hummingbird", 5471 "Blue-throated Hummingbird", 5472 "Magnificent Hummingbird", 5473 "Plain-capped Starthroat", 5474 "Bahama Woodstar", 5475 "Lucifer Hummingbird", 5476 "Ruby-throated Hummingbird", 5477 "Black-chinned Hummingbird", 5478 "Anna's Hummingbird", 5479 "Costa's Hummingbird", 5480 "Calliope Hummingbird", 5481 "Bumblebee Hummingbird", 5482 "Broad-tailed Hummingbird", 5483 "Rufous Hummingbird", 5484 "Allen's Hummingbird", 5485 "Elegant Trogon", 5486 "Eared Trogon", 5487 "Hoopoe", 5488 "Ringed Kingfisher", 5489 "Belted Kingfisher", 5490 "Green Kingfisher", 5491 "Eurasian Wryneck", 5492 "Lewis's Woodpecker", 5493 "Red-headed Woodpecker", 5494 "Acorn Woodpecker", 5495 "Gila Woodpecker", 5496 "Golden-fronted Woodpecker", 5497 "Red-bellied Woodpecker", 5498 "Williamson's Sapsucker", 5499 "Yellow-bellied Sapsucker", 5500 "Red-naped Sapsucker", 5501 "Red-breasted Sapsucker", 5502 "Great Spotted Woodpecker", 5503 "Ladder-backed Woodpecker", 5504 "Nuttall's Woodpecker", 5505 "Downy Woodpecker", 5506 "Hairy Woodpecker", 5507 "Strickland's Woodpecker", 5508 "Red-cockaded Woodpecker", 5509 "White-headed Woodpecker", 5510 "Three-toed Woodpecker", 5511 "Black-backed Woodpecker", 5512 "Northern Flicker", 5513 "Gilded Flicker", 5514 "Pileated Woodpecker", 5515 "Ivory-billed Woodpecker", 5516 "Northern Beardless-Tyrannulet", 5517 "Greenish Elaenia", 5518 "Caribbean Elaenia", 5519 "Tufted Flycatcher", 5520 "Olive-sided Flycatcher", 5521 "Greater Pewee", 5522 "Western Wood-Pewee", 5523 "Eastern Wood-Pewee", 5524 "Yellow-bellied Flycatcher", 5525 "Acadian Flycatcher", 5526 "Alder Flycatcher", 5527 "Willow Flycatcher", 5528 "Least Flycatcher", 5529 "Hammond's Flycatcher", 5530 "Dusky Flycatcher", 5531 "Gray Flycatcher", 5532 "Pacific-slope Flycatcher", 5533 "Cordilleran Flycatcher", 5534 "Buff-breasted Flycatcher", 5535 "Black Phoebe", 5536 "Eastern Phoebe", 5537 "Say's Phoebe", 5538 "Vermilion Flycatcher", 5539 "Dusky-capped Flycatcher", 5540 "Ash-throated Flycatcher", 5541 "Nutting's Flycatcher", 5542 "Great Crested Flycatcher", 5543 "Brown-crested Flycatcher", 5544 "La Sagra's Flycatcher", 5545 "Great Kiskadee", 5546 "Sulphur-bellied Flycatcher", 5547 "Variegated Flycatcher", 5548 "Tropical Kingbird", 5549 "Couch's Kingbird", 5550 "Cassin's Kingbird", 5551 "Thick-billed Kingbird", 5552 "Western Kingbird", 5553 "Eastern Kingbird", 5554 "Gray Kingbird", 5555 "Loggerhead Kingbird", 5556 "Scissor-tailed Flycatcher", 5557 "Fork-tailed Flycatcher", 5558 "Rose-throated Becard", 5559 "Masked Tityra", 5560 "Brown Shrike", 5561 "Loggerhead Shrike", 5562 "Northern Shrike", 5563 "White-eyed Vireo", 5564 "Thick-billed Vireo", 5565 "Bell's Vireo", 5566 "Black-capped Vireo", 5567 "Gray Vireo", 5568 "Yellow-throated Vireo", 5569 "Plumbeous Vireo", 5570 "Cassin's Vireo", 5571 "Blue-headed Vireo", 5572 "Hutton's Vireo", 5573 "Warbling Vireo", 5574 "Philadelphia Vireo", 5575 "Red-eyed Vireo", 5576 "Yellow-green Vireo", 5577 "Black-whiskered Vireo", 5578 "Yucatan Vireo", 5579 "Gray Jay", 5580 "Steller's Jay", 5581 "Blue Jay", 5582 "Green Jay", 5583 "Brown Jay", 5584 "Florida Scrub-Jay", 5585 "Island Scrub-Jay", 5586 "Western Scrub-Jay", 5587 "Mexican Jay", 5588 "Pinyon Jay", 5589 "Clark's Nutcracker", 5590 "Black-billed Magpie", 5591 "Yellow-billed Magpie", 5592 "Eurasian Jackdaw", 5593 "American Crow", 5594 "Northwestern Crow", 5595 "Tamaulipas Crow", 5596 "Fish Crow", 5597 "Chihuahuan Raven", 5598 "Common Raven", 5599 "Sky Lark", 5600 "Horned Lark", 5601 "Purple Martin", 5602 "Cuban Martin", 5603 "Gray-breasted Martin", 5604 "Southern Martin", 5605 "Brown-chested Martin", 5606 "Tree Swallow", 5607 "Violet-green Swallow", 5608 "Bahama Swallow", 5609 "Northern Rough-winged Swallow", 5610 "Bank Swallow", 5611 "Cliff Swallow", 5612 "Cave Swallow", 5613 "Barn Swallow", 5614 "Common House-Martin", 5615 "Carolina Chickadee", 5616 "Black-capped Chickadee", 5617 "Mountain Chickadee", 5618 "Mexican Chickadee", 5619 "Chestnut-backed Chickadee", 5620 "Boreal Chickadee", 5621 "Gray-headed Chickadee", 5622 "Bridled Titmouse", 5623 "Oak Titmouse", 5624 "Juniper Titmouse", 5625 "Tufted Titmouse", 5626 "Verdin", 5627 "Bushtit", 5628 "Red-breasted Nuthatch", 5629 "White-breasted Nuthatch", 5630 "Pygmy Nuthatch", 5631 "Brown-headed Nuthatch", 5632 "Brown Creeper", 5633 "Cactus Wren", 5634 "Rock Wren", 5635 "Canyon Wren", 5636 "Carolina Wren", 5637 "Bewick's Wren", 5638 "House Wren", 5639 "Winter Wren", 5640 "Sedge Wren", 5641 "Marsh Wren", 5642 "American Dipper", 5643 "Red-whiskered Bulbul", 5644 "Golden-crowned Kinglet", 5645 "Ruby-crowned Kinglet", 5646 "Middendorff's Grasshopper-Warbler", 5647 "Lanceolated Warbler", 5648 "Wood Warbler", 5649 "Dusky Warbler", 5650 "Arctic Warbler", 5651 "Blue-gray Gnatcatcher", 5652 "California Gnatcatcher", 5653 "Black-tailed Gnatcatcher", 5654 "Black-capped Gnatcatcher", 5655 "Narcissus Flycatcher", 5656 "Mugimaki Flycatcher", 5657 "Red-breasted Flycatcher", 5658 "Siberian Flycatcher", 5659 "Gray-spotted Flycatcher", 5660 "Asian Brown Flycatcher", 5661 "Siberian Rubythroat", 5662 "Bluethroat", 5663 "Siberian Blue Robin", 5664 "Red-flanked Bluetail", 5665 "Northern Wheatear", 5666 "Stonechat", 5667 "Eastern Bluebird", 5668 "Western Bluebird", 5669 "Mountain Bluebird", 5670 "Townsend's Solitaire", 5671 "Veery", 5672 "Gray-cheeked Thrush", 5673 "Bicknell's Thrush", 5674 "Swainson's Thrush", 5675 "Hermit Thrush", 5676 "Wood Thrush", 5677 "Eurasian Blackbird", 5678 "Eyebrowed Thrush", 5679 "Dusky Thrush", 5680 "Fieldfare", 5681 "Redwing", 5682 "Clay-colored Robin", 5683 "White-throated Robin", 5684 "Rufous-backed Robin", 5685 "American Robin", 5686 "Varied Thrush", 5687 "Aztec Thrush", 5688 "Wrentit", 5689 "Gray Catbird", 5690 "Black Catbird", 5691 "Northern Mockingbird", 5692 "Bahama Mockingbird", 5693 "Sage Thrasher", 5694 "Brown Thrasher", 5695 "Long-billed Thrasher", 5696 "Bendire's Thrasher", 5697 "Curve-billed Thrasher", 5698 "California Thrasher", 5699 "Crissal Thrasher", 5700 "Le Conte's Thrasher", 5701 "Blue Mockingbird", 5702 "European Starling", 5703 "Crested Myna", 5704 "Siberian Accentor", 5705 "Yellow Wagtail", 5706 "Citrine Wagtail", 5707 "Gray Wagtail", 5708 "White Wagtail", 5709 "Black-backed Wagtail", 5710 "Tree Pipit", 5711 "Olive-backed Pipit", 5712 "Pechora Pipit", 5713 "Red-throated Pipit", 5714 "American Pipit", 5715 "Sprague's Pipit", 5716 "Bohemian Waxwing", 5717 "Cedar Waxwing", 5718 "Gray Silky-flycatcher", 5719 "Phainopepla", 5720 "Olive Warbler", 5721 "Bachman's Warbler", 5722 "Blue-winged Warbler", 5723 "Golden-winged Warbler", 5724 "Tennessee Warbler", 5725 "Orange-crowned Warbler", 5726 "Nashville Warbler", 5727 "Virginia's Warbler", 5728 "Colima Warbler", 5729 "Lucy's Warbler", 5730 "Crescent-chested Warbler", 5731 "Northern Parula", 5732 "Tropical Parula", 5733 "Yellow Warbler", 5734 "Chestnut-sided Warbler", 5735 "Magnolia Warbler", 5736 "Cape May Warbler", 5737 "Black-throated Blue Warbler", 5738 "Yellow-rumped Warbler", 5739 "Black-throated Gray Warbler", 5740 "Golden-cheeked Warbler", 5741 "Black-throated Green Warbler", 5742 "Townsend's Warbler", 5743 "Hermit Warbler", 5744 "Blackburnian Warbler", 5745 "Yellow-throated Warbler", 5746 "Grace's Warbler", 5747 "Pine Warbler", 5748 "Kirtland's Warbler", 5749 "Prairie Warbler", 5750 "Palm Warbler", 5751 "Bay-breasted Warbler", 5752 "Blackpoll Warbler", 5753 "Cerulean Warbler", 5754 "Black-and-white Warbler", 5755 "American Redstart", 5756 "Prothonotary Warbler", 5757 "Worm-eating Warbler", 5758 "Swainson's Warbler", 5759 "Ovenbird", 5760 "Northern Waterthrush", 5761 "Louisiana Waterthrush", 5762 "Kentucky Warbler", 5763 "Connecticut Warbler", 5764 "Mourning Warbler", 5765 "MacGillivray's Warbler", 5766 "Common Yellowthroat", 5767 "Gray-crowned Yellowthroat", 5768 "Hooded Warbler", 5769 "Wilson's Warbler", 5770 "Canada Warbler", 5771 "Red-faced Warbler", 5772 "Painted Redstart", 5773 "Slate-throated Redstart", 5774 "Fan-tailed Warbler", 5775 "Golden-crowned Warbler", 5776 "Rufous-capped Warbler", 5777 "Yellow-breasted Chat", 5778 "Bananaquit", 5779 "Hepatic Tanager", 5780 "Summer Tanager", 5781 "Scarlet Tanager", 5782 "Western Tanager", 5783 "Flame-colored Tanager", 5784 "Stripe-headed Tanager", 5785 "White-collared Seedeater", 5786 "Yellow-faced Grassquit", 5787 "Black-faced Grassquit", 5788 "Olive Sparrow", 5789 "Green-tailed Towhee", 5790 "Spotted Towhee", 5791 "Eastern Towhee", 5792 "Canyon Towhee", 5793 "California Towhee", 5794 "Abert's Towhee", 5795 "Rufous-winged Sparrow", 5796 "Cassin's Sparrow", 5797 "Bachman's Sparrow", 5798 "Botteri's Sparrow", 5799 "Rufous-crowned Sparrow", 5800 "Five-striped Sparrow", 5801 "American Tree Sparrow", 5802 "Chipping Sparrow", 5803 "Clay-colored Sparrow", 5804 "Brewer's Sparrow", 5805 "Field Sparrow", 5806 "Worthen's Sparrow", 5807 "Black-chinned Sparrow", 5808 "Vesper Sparrow", 5809 "Lark Sparrow", 5810 "Black-throated Sparrow", 5811 "Sage Sparrow", 5812 "Lark Bunting", 5813 "Savannah Sparrow", 5814 "Grasshopper Sparrow", 5815 "Baird's Sparrow", 5816 "Henslow's Sparrow", 5817 "Le Conte's Sparrow", 5818 "Nelson's Sharp-tailed Sparrow", 5819 "Saltmarsh Sharp-tailed Sparrow", 5820 "Seaside Sparrow", 5821 "Fox Sparrow", 5822 "Song Sparrow", 5823 "Lincoln's Sparrow", 5824 "Swamp Sparrow", 5825 "White-throated Sparrow", 5826 "Harris's Sparrow", 5827 "White-crowned Sparrow", 5828 "Golden-crowned Sparrow", 5829 "Dark-eyed Junco", 5830 "Yellow-eyed Junco", 5831 "McCown's Longspur", 5832 "Lapland Longspur", 5833 "Smith's Longspur", 5834 "Chestnut-collared Longspur", 5835 "Pine Bunting", 5836 "Little Bunting", 5837 "Rustic Bunting", 5838 "Yellow-breasted Bunting", 5839 "Gray Bunting", 5840 "Pallas's Bunting", 5841 "Reed Bunting", 5842 "Snow Bunting", 5843 "McKay's Bunting", 5844 "Crimson-collared Grosbeak", 5845 "Northern Cardinal", 5846 "Pyrrhuloxia", 5847 "Yellow Grosbeak", 5848 "Rose-breasted Grosbeak", 5849 "Black-headed Grosbeak", 5850 "Blue Bunting", 5851 "Blue Grosbeak", 5852 "Lazuli Bunting", 5853 "Indigo Bunting", 5854 "Varied Bunting", 5855 "Painted Bunting", 5856 "Dickcissel", 5857 "Bobolink", 5858 "Red-winged Blackbird", 5859 "Tricolored Blackbird", 5860 "Tawny-shouldered Blackbird", 5861 "Eastern Meadowlark", 5862 "Western Meadowlark", 5863 "Yellow-headed Blackbird", 5864 "Rusty Blackbird", 5865 "Brewer's Blackbird", 5866 "Common Grackle", 5867 "Boat-tailed Grackle", 5868 "Great-tailed Grackle", 5869 "Shiny Cowbird", 5870 "Bronzed Cowbird", 5871 "Brown-headed Cowbird", 5872 "Black-vented Oriole", 5873 "Orchard Oriole", 5874 "Hooded Oriole", 5875 "Streak-backed Oriole", 5876 "Spot-breasted Oriole", 5877 "Altamira Oriole", 5878 "Audubon's Oriole", 5879 "Baltimore Oriole", 5880 "Bullock's Oriole", 5881 "Scott's Oriole", 5882 "Common Chaffinch", 5883 "Brambling", 5884 "Gray-crowned Rosy-Finch", 5885 "Black Rosy-Finch", 5886 "Brown-capped Rosy-Finch", 5887 "Pine Grosbeak", 5888 "Common Rosefinch", 5889 "Purple Finch", 5890 "Cassin's Finch", 5891 "House Finch", 5892 "Red Crossbill", 5893 "White-winged Crossbill", 5894 "Common Redpoll", 5895 "Hoary Redpoll", 5896 "Eurasian Siskin", 5897 "Pine Siskin", 5898 "Lesser Goldfinch", 5899 "Lawrence's Goldfinch", 5900 "American Goldfinch", 5901 "Oriental Greenfinch", 5902 "Eurasian Bullfinch", 5903 "Evening Grosbeak", 5904 "Hawfinch", 5905 "House Sparrow", 5906 "Eurasian Tree Sparrow" 5907 ]; 5908 return choice(data, this.rnd); 5909 } 5910 5911 /// 5912 string animalBear() { 5913 auto data = [ 5914 "Giant panda", 5915 "Spectacled bear", 5916 "Sun bear", 5917 "Sloth bear", 5918 "American black bear", 5919 "Asian black bear", 5920 "Brown bear", 5921 "Polar bear" 5922 ]; 5923 return choice(data, this.rnd); 5924 } 5925 5926 /// 5927 string animalType() { 5928 auto data = [ 5929 "dog", 5930 "cat", 5931 "snake", 5932 "bear", 5933 "lion", 5934 "cetacean", 5935 "insect", 5936 "crocodilia", 5937 "cow", 5938 "bird", 5939 "fish", 5940 "rabbit", 5941 "horse" 5942 ]; 5943 return choice(data, this.rnd); 5944 } 5945 5946 /// 5947 string animalFish() { 5948 auto data = [ 5949 "Grass carp", 5950 "Peruvian anchoveta", 5951 "Silver carp", 5952 "Common carp", 5953 "Asari", 5954 "Japanese littleneck", 5955 "Filipino Venus", 5956 "Japanese cockle", 5957 "Alaska pollock", 5958 "Nile tilapia", 5959 "Whiteleg shrimp", 5960 "Bighead carp", 5961 "Skipjack tuna", 5962 "Catla", 5963 "Crucian carp", 5964 "Atlantic salmon", 5965 "Atlantic herring", 5966 "Chub mackerel", 5967 "Rohu", 5968 "Yellowfin tuna", 5969 "Japanese anchovy", 5970 "Largehead hairtail", 5971 "Atlantic cod", 5972 "European pilchard", 5973 "Capelin", 5974 "Jumbo flying squid", 5975 "Milkfish", 5976 "Atlantic mackerel", 5977 "Rainbow trout", 5978 "Araucanian herring", 5979 "Wuchang bream", 5980 "Gulf menhaden", 5981 "Indian oil sardine", 5982 "Black carp", 5983 "European anchovy", 5984 "Northern snakehead", 5985 "Pacific cod", 5986 "Pacific saury", 5987 "Pacific herring", 5988 "Bigeye tuna", 5989 "Chilean jack mackerel", 5990 "Yellow croaker", 5991 "Haddock", 5992 "Gazami crab", 5993 "Amur catfish", 5994 "Japanese common catfish", 5995 "European sprat", 5996 "Pink salmon", 5997 "Mrigal carp", 5998 "Channel catfish", 5999 "Blood cockle", 6000 "Blue whiting", 6001 "Hilsa shad", 6002 "Daggertooth pike conger", 6003 "California pilchard", 6004 "Cape horse mackerel", 6005 "Pacific anchoveta", 6006 "Japanese flying squid", 6007 "Pollock", 6008 "Chinese softshell turtle", 6009 "Kawakawa", 6010 "Indian mackerel", 6011 "Asian swamp eel", 6012 "Argentine hake", 6013 "Short mackerel", 6014 "Southern rough shrimp", 6015 "Southern African anchovy", 6016 "Pond loach", 6017 "Iridescent shark", 6018 "Mandarin fish", 6019 "Chinese perch", 6020 "Nile perch", 6021 "Round sardinella", 6022 "Japanese pilchard", 6023 "Bombay-duck", 6024 "Yellowhead catfish", 6025 "Korean bullhead", 6026 "Narrow-barred Spanish mackerel", 6027 "Albacore", 6028 "Madeiran sardinella", 6029 "Bonga shad", 6030 "Silver cyprinid", 6031 "Nile tilapia", 6032 "Longtail tuna", 6033 "Atlantic menhaden", 6034 "North Pacific hake", 6035 "Atlantic horse mackerel", 6036 "Japanese jack mackerel", 6037 "Pacific thread herring", 6038 "Bigeye scad", 6039 "Yellowstripe scad", 6040 "Chum salmon", 6041 "Blue swimming crab", 6042 "Pacific sand lance", 6043 "Pacific sandlance", 6044 "Goldstripe sardinella" 6045 ]; 6046 return choice(data, this.rnd); 6047 } 6048 6049 /// 6050 string animalInsect() { 6051 auto data = [ 6052 "Acacia-ants", 6053 "Acorn-plum gall", 6054 "Aerial yellowjacket", 6055 "Africanized honey bee", 6056 "Allegheny mound ant", 6057 "Almond stone wasp", 6058 "Ant", 6059 "Arboreal ant", 6060 "Argentine ant", 6061 "Asian paper wasp", 6062 "Baldfaced hornet", 6063 "Bee", 6064 "Bigheaded ant", 6065 "Black and yellow mud dauber", 6066 "Black carpenter ant", 6067 "Black imported fire ant", 6068 "Blue horntail woodwasp", 6069 "Blue orchard bee", 6070 "Braconid wasp", 6071 "Bumble bee", 6072 "Carpenter ant", 6073 "Carpenter wasp", 6074 "Chalcid wasp", 6075 "Cicada killer", 6076 "Citrus blackfly parasitoid", 6077 "Common paper wasp", 6078 "Crazy ant", 6079 "Cuckoo wasp", 6080 "Cynipid gall wasp", 6081 "Eastern Carpenter bee", 6082 "Eastern yellowjacket", 6083 "Elm sawfly", 6084 "Encyrtid wasp", 6085 "Erythrina gall wasp", 6086 "Eulophid wasp", 6087 "European hornet", 6088 "European imported fire ant", 6089 "False honey ant", 6090 "Fire ant", 6091 "Forest bachac", 6092 "Forest yellowjacket", 6093 "German yellowjacket", 6094 "Ghost ant", 6095 "Giant ichneumon wasp", 6096 "Giant resin bee", 6097 "Giant wood wasp", 6098 "Golden northern bumble bee", 6099 "Golden paper wasp", 6100 "Gouty oak gall", 6101 "Grass Carrying Wasp", 6102 "Great black wasp", 6103 "Great golden digger wasp", 6104 "Hackberry nipple gall parasitoid", 6105 "Honey bee", 6106 "Horned oak gall", 6107 "Horse guard wasp", 6108 "Horse guard wasp", 6109 "Hunting wasp", 6110 "Ichneumonid wasp", 6111 "Keyhole wasp", 6112 "Knopper gall", 6113 "Large garden bumble bee", 6114 "Large oak-apple gall", 6115 "Leafcutting bee", 6116 "Little fire ant", 6117 "Little yellow ant", 6118 "Long-horned bees", 6119 "Long-legged ant", 6120 "Macao paper wasp", 6121 "Mallow bee", 6122 "Marble gall", 6123 "Mossyrose gall wasp", 6124 "Mud-daubers", 6125 "Multiflora rose seed chalcid", 6126 "Oak apple gall wasp", 6127 "Oak rough bulletgall wasp", 6128 "Oak saucer gall", 6129 "Oak shoot sawfly", 6130 "Odorous house ant", 6131 "Orange-tailed bumble bee", 6132 "Orangetailed potter wasp", 6133 "Oriental chestnut gall wasp", 6134 "Paper wasp", 6135 "Pavement ant", 6136 "Pigeon tremex", 6137 "Pip gall wasp", 6138 "Prairie yellowjacket", 6139 "Pteromalid wasp", 6140 "Pyramid ant", 6141 "Raspberry Horntail", 6142 "Red ant", 6143 "Red carpenter ant", 6144 "Red harvester ant", 6145 "Red imported fire ant", 6146 "Red wasp", 6147 "Red wood ant", 6148 "Red-tailed wasp", 6149 "Reddish carpenter ant", 6150 "Rough harvester ant", 6151 "Sawfly parasitic wasp", 6152 "Scale parasitoid", 6153 "Silky ant", 6154 "Sirex woodwasp", 6155 "Siricid woodwasp", 6156 "Smaller yellow ant", 6157 "Southeastern blueberry bee", 6158 "Southern fire ant", 6159 "Southern yellowjacket", 6160 "Sphecid wasp", 6161 "Stony gall", 6162 "Sweat bee", 6163 "Texas leafcutting ant", 6164 "Tiphiid wasp", 6165 "Torymid wasp", 6166 "Tramp ant", 6167 "Valentine ant", 6168 "Velvet ant", 6169 "Vespid wasp", 6170 "Weevil parasitoid", 6171 "Western harvester ant", 6172 "Western paper wasp", 6173 "Western thatching ant", 6174 "Western yellowjacket", 6175 "White-horned horntail", 6176 "Willow shoot sawfly", 6177 "Woodwasp", 6178 "Wool sower gall maker", 6179 "Yellow and black potter wasp", 6180 "Yellow Crazy Ant", 6181 "Yellow-horned horntail" 6182 ]; 6183 return choice(data, this.rnd); 6184 } 6185 6186 /// 6187 string appVersion() { 6188 auto data = [ 6189 "0.#.#", 6190 "0.##", 6191 "#.##", 6192 "#.#", 6193 "#.#.#'" 6194 ]; 6195 return this.digitBuild(choice(data, this.rnd)); 6196 } 6197 6198 6199 string appAuthor() { 6200 final switch(uniform(0, 2, this.rnd)) { 6201 case 0: return nameName(); 6202 case 1: return companyName() ~ "'"; 6203 } 6204 } 6205 6206 /// 6207 string appName() { 6208 auto data = [ 6209 "Redhold", 6210 "Treeflex", 6211 "Trippledex", 6212 "Kanlam", 6213 "Bigtax", 6214 "Daltfresh", 6215 "Toughjoyfax", 6216 "Mat Lam Tam", 6217 "Otcom", 6218 "Tres-Zap", 6219 "Y-Solowarm", 6220 "Tresom", 6221 "Voltsillam", 6222 "Biodex", 6223 "Greenlam", 6224 "Viva", 6225 "Matsoft", 6226 "Temp", 6227 "Zoolab", 6228 "Subin", 6229 "Rank", 6230 "Job", 6231 "Stringtough", 6232 "Tin", 6233 "It", 6234 "Home Ing", 6235 "Zamit", 6236 "Sonsing", 6237 "Konklab", 6238 "Alpha", 6239 "Latlux", 6240 "Voyatouch", 6241 "Alphazap", 6242 "Holdlamis", 6243 "Zaam-Dox", 6244 "Sub-Ex", 6245 "Quo Lux", 6246 "Bamity", 6247 "Ventosanzap", 6248 "Lotstring", 6249 "Hatity", 6250 "Tempsoft", 6251 "Overhold", 6252 "Fixflex", 6253 "Konklux", 6254 "Zontrax", 6255 "Tampflex", 6256 "Span", 6257 "Namfix", 6258 "Transcof", 6259 "Stim", 6260 "Fix San", 6261 "Sonair", 6262 "Stronghold", 6263 "Fintone", 6264 "Y-find", 6265 "Opela", 6266 "Lotlux", 6267 "Ronstring", 6268 "Zathin", 6269 "Duobam", 6270 "Keylex" 6271 ]; 6272 return choice(data, this.rnd); 6273 } 6274 6275 /// 6276 string companyBsVerb() { 6277 auto data = [ 6278 "implement", 6279 "utilize", 6280 "integrate", 6281 "streamline", 6282 "optimize", 6283 "evolve", 6284 "transform", 6285 "embrace", 6286 "enable", 6287 "orchestrate", 6288 "leverage", 6289 "reinvent", 6290 "aggregate", 6291 "architect", 6292 "enhance", 6293 "incentivize", 6294 "morph", 6295 "empower", 6296 "envisioneer", 6297 "monetize", 6298 "harness", 6299 "facilitate", 6300 "seize", 6301 "disintermediate", 6302 "synergize", 6303 "strategize", 6304 "deploy", 6305 "brand", 6306 "grow", 6307 "target", 6308 "syndicate", 6309 "synthesize", 6310 "deliver", 6311 "mesh", 6312 "incubate", 6313 "engage", 6314 "maximize", 6315 "benchmark", 6316 "expedite", 6317 "reintermediate", 6318 "whiteboard", 6319 "visualize", 6320 "repurpose", 6321 "innovate", 6322 "scale", 6323 "unleash", 6324 "drive", 6325 "extend", 6326 "engineer", 6327 "revolutionize", 6328 "generate", 6329 "exploit", 6330 "transition", 6331 "e-enable", 6332 "iterate", 6333 "cultivate", 6334 "matrix", 6335 "productize", 6336 "redefine", 6337 "recontextualize" 6338 ]; 6339 return choice(data, this.rnd); 6340 } 6341 6342 /// 6343 string companyBsNoun() { 6344 auto data = [ 6345 "synergies", 6346 "web-readiness", 6347 "paradigms", 6348 "markets", 6349 "partnerships", 6350 "infrastructures", 6351 "platforms", 6352 "initiatives", 6353 "channels", 6354 "eyeballs", 6355 "communities", 6356 "ROI", 6357 "solutions", 6358 "e-tailers", 6359 "e-services", 6360 "action-items", 6361 "portals", 6362 "niches", 6363 "technologies", 6364 "content", 6365 "vortals", 6366 "supply-chains", 6367 "convergence", 6368 "relationships", 6369 "architectures", 6370 "interfaces", 6371 "e-markets", 6372 "e-commerce", 6373 "systems", 6374 "bandwidth", 6375 "infomediaries", 6376 "models", 6377 "mindshare", 6378 "deliverables", 6379 "users", 6380 "schemas", 6381 "networks", 6382 "applications", 6383 "metrics", 6384 "e-business", 6385 "functionalities", 6386 "experiences", 6387 "web services", 6388 "methodologies", 6389 "blockchains" 6390 ]; 6391 return choice(data, this.rnd); 6392 } 6393 6394 /// 6395 string companyDescriptor() { 6396 auto data = [ 6397 "24 hour", 6398 "24/7", 6399 "3rd generation", 6400 "4th generation", 6401 "5th generation", 6402 "6th generation", 6403 "actuating", 6404 "analyzing", 6405 "asymmetric", 6406 "asynchronous", 6407 "attitude-oriented", 6408 "background", 6409 "bandwidth-monitored", 6410 "bi-directional", 6411 "bifurcated", 6412 "bottom-line", 6413 "clear-thinking", 6414 "client-driven", 6415 "client-server", 6416 "coherent", 6417 "cohesive", 6418 "composite", 6419 "context-sensitive", 6420 "contextually-based", 6421 "content-based", 6422 "dedicated", 6423 "demand-driven", 6424 "didactic", 6425 "directional", 6426 "discrete", 6427 "disintermediate", 6428 "dynamic", 6429 "eco-centric", 6430 "empowering", 6431 "encompassing", 6432 "even-keeled", 6433 "executive", 6434 "explicit", 6435 "exuding", 6436 "fault-tolerant", 6437 "foreground", 6438 "fresh-thinking", 6439 "full-range", 6440 "global", 6441 "grid-enabled", 6442 "heuristic", 6443 "high-level", 6444 "holistic", 6445 "homogeneous", 6446 "human-resource", 6447 "hybrid", 6448 "impactful", 6449 "incremental", 6450 "intangible", 6451 "interactive", 6452 "intermediate", 6453 "leading edge", 6454 "local", 6455 "logistical", 6456 "maximized", 6457 "methodical", 6458 "mission-critical", 6459 "mobile", 6460 "modular", 6461 "motivating", 6462 "multimedia", 6463 "multi-state", 6464 "multi-tasking", 6465 "national", 6466 "needs-based", 6467 "neutral", 6468 "next generation", 6469 "non-volatile", 6470 "object-oriented", 6471 "optimal", 6472 "optimizing", 6473 "radical", 6474 "real-time", 6475 "reciprocal", 6476 "regional", 6477 "responsive", 6478 "scalable", 6479 "secondary", 6480 "solution-oriented", 6481 "stable", 6482 "static", 6483 "systematic", 6484 "systemic", 6485 "system-worthy", 6486 "tangible", 6487 "tertiary", 6488 "transitional", 6489 "uniform", 6490 "upward-trending", 6491 "user-facing", 6492 "value-added", 6493 "web-enabled", 6494 "well-modulated", 6495 "zero administration", 6496 "zero defect", 6497 "zero tolerance" 6498 ]; 6499 return choice(data, this.rnd); 6500 } 6501 6502 /// 6503 string companyNoun() { 6504 auto data = [ 6505 "ability", 6506 "access", 6507 "adapter", 6508 "algorithm", 6509 "alliance", 6510 "analyzer", 6511 "application", 6512 "approach", 6513 "architecture", 6514 "archive", 6515 "artificial intelligence", 6516 "array", 6517 "attitude", 6518 "benchmark", 6519 "budgetary management", 6520 "capability", 6521 "capacity", 6522 "challenge", 6523 "circuit", 6524 "collaboration", 6525 "complexity", 6526 "concept", 6527 "conglomeration", 6528 "contingency", 6529 "core", 6530 "customer loyalty", 6531 "database", 6532 "data-warehouse", 6533 "definition", 6534 "emulation", 6535 "encoding", 6536 "encryption", 6537 "extranet", 6538 "firmware", 6539 "flexibility", 6540 "focus group", 6541 "forecast", 6542 "frame", 6543 "framework", 6544 "function", 6545 "functionalities", 6546 "Graphic Interface", 6547 "groupware", 6548 "Graphical User Interface", 6549 "hardware", 6550 "help-desk", 6551 "hierarchy", 6552 "hub", 6553 "implementation", 6554 "info-mediaries", 6555 "infrastructure", 6556 "initiative", 6557 "installation", 6558 "instruction set", 6559 "interface", 6560 "internet solution", 6561 "intranet", 6562 "knowledge user", 6563 "knowledge base", 6564 "local area network", 6565 "leverage", 6566 "matrices", 6567 "matrix", 6568 "methodology", 6569 "middleware", 6570 "migration", 6571 "model", 6572 "moderator", 6573 "monitoring", 6574 "moratorium", 6575 "neural-net", 6576 "open architecture", 6577 "open system", 6578 "orchestration", 6579 "paradigm", 6580 "parallelism", 6581 "policy", 6582 "portal", 6583 "pricing structure", 6584 "process improvement", 6585 "product", 6586 "productivity", 6587 "project", 6588 "projection", 6589 "protocol", 6590 "secured line", 6591 "service-desk", 6592 "software", 6593 "solution", 6594 "standardization", 6595 "strategy", 6596 "structure", 6597 "success", 6598 "superstructure", 6599 "support", 6600 "synergy", 6601 "system engine", 6602 "task-force", 6603 "throughput", 6604 "time-frame", 6605 "toolset", 6606 "utilisation", 6607 "website", 6608 "workforce" 6609 ]; 6610 return choice(data, this.rnd); 6611 } 6612 6613 /// 6614 string companyAdjective() { 6615 auto data = [ 6616 "Adaptive", 6617 "Advanced", 6618 "Ameliorated", 6619 "Assimilated", 6620 "Automated", 6621 "Balanced", 6622 "Business-focused", 6623 "Centralized", 6624 "Cloned", 6625 "Compatible", 6626 "Configurable", 6627 "Cross-group", 6628 "Cross-platform", 6629 "Customer-focused", 6630 "Customizable", 6631 "Decentralized", 6632 "De-engineered", 6633 "Devolved", 6634 "Digitized", 6635 "Distributed", 6636 "Diverse", 6637 "Down-sized", 6638 "Enhanced", 6639 "Enterprise-wide", 6640 "Ergonomic", 6641 "Exclusive", 6642 "Expanded", 6643 "Extended", 6644 "Face to face", 6645 "Focused", 6646 "Front-line", 6647 "Fully-configurable", 6648 "Function-based", 6649 "Fundamental", 6650 "Future-proofed", 6651 "Grass-roots", 6652 "Horizontal", 6653 "Implemented", 6654 "Innovative", 6655 "Integrated", 6656 "Intuitive", 6657 "Inverse", 6658 "Managed", 6659 "Mandatory", 6660 "Monitored", 6661 "Multi-channelled", 6662 "Multi-lateral", 6663 "Multi-layered", 6664 "Multi-tiered", 6665 "Networked", 6666 "Object-based", 6667 "Open-architected", 6668 "Open-source", 6669 "Operative", 6670 "Optimized", 6671 "Optional", 6672 "Organic", 6673 "Organized", 6674 "Persevering", 6675 "Persistent", 6676 "Phased", 6677 "Polarised", 6678 "Pre-emptive", 6679 "Proactive", 6680 "Profit-focused", 6681 "Profound", 6682 "Programmable", 6683 "Progressive", 6684 "Public-key", 6685 "Quality-focused", 6686 "Reactive", 6687 "Realigned", 6688 "Re-contextualized", 6689 "Re-engineered", 6690 "Reduced", 6691 "Reverse-engineered", 6692 "Right-sized", 6693 "Robust", 6694 "Seamless", 6695 "Secured", 6696 "Self-enabling", 6697 "Sharable", 6698 "Stand-alone", 6699 "Streamlined", 6700 "Switchable", 6701 "Synchronised", 6702 "Synergistic", 6703 "Synergized", 6704 "Team-oriented", 6705 "Total", 6706 "Triple-buffered", 6707 "Universal", 6708 "Up-sized", 6709 "Upgradable", 6710 "User-centric", 6711 "User-friendly", 6712 "Versatile", 6713 "Virtual", 6714 "Visionary", 6715 "Vision-oriented" 6716 ]; 6717 return choice(data, this.rnd); 6718 } 6719 6720 /// 6721 string companySuffix() { 6722 auto data = [ 6723 "Inc", 6724 "and Sons", 6725 "LLC", 6726 "Group'" 6727 ]; 6728 return choice(data, this.rnd); 6729 } 6730 6731 6732 string companyName() { 6733 final switch(uniform(0, 4, this.rnd)) { 6734 case 0: return nameLastName() ~ " " ~ companySuffix(); 6735 case 1: return nameLastName() ~ "-" ~ nameLastName(); 6736 case 2: return nameLastName(); 6737 case 3: return nameLastName() ~ " and " ~ nameLastName(); 6738 } 6739 } 6740 6741 /// 6742 string companyBsAdjective() { 6743 auto data = [ 6744 "clicks-and-mortar", 6745 "value-added", 6746 "vertical", 6747 "proactive", 6748 "robust", 6749 "revolutionary", 6750 "scalable", 6751 "leading-edge", 6752 "innovative", 6753 "intuitive", 6754 "strategic", 6755 "e-business", 6756 "mission-critical", 6757 "sticky", 6758 "one-to-one", 6759 "24/7", 6760 "end-to-end", 6761 "global", 6762 "B2B", 6763 "B2C", 6764 "granular", 6765 "frictionless", 6766 "virtual", 6767 "viral", 6768 "dynamic", 6769 "24/365", 6770 "best-of-breed", 6771 "killer", 6772 "magnetic", 6773 "bleeding-edge", 6774 "web-enabled", 6775 "interactive", 6776 "dot-com", 6777 "sexy", 6778 "back-end", 6779 "real-time", 6780 "efficient", 6781 "front-end", 6782 "distributed", 6783 "seamless", 6784 "extensible", 6785 "turn-key", 6786 "world-class", 6787 "open-source", 6788 "cross-platform", 6789 "cross-media", 6790 "synergistic", 6791 "bricks-and-clicks", 6792 "out-of-the-box", 6793 "enterprise", 6794 "integrated", 6795 "impactful", 6796 "wireless", 6797 "transparent", 6798 "next-generation", 6799 "cutting-edge", 6800 "user-centric", 6801 "visionary", 6802 "customized", 6803 "ubiquitous", 6804 "plug-and-play", 6805 "collaborative", 6806 "compelling", 6807 "holistic", 6808 "rich" 6809 ]; 6810 return choice(data, this.rnd); 6811 } 6812 6813 /// 6814 string hackerIngverb() { 6815 auto data = [ 6816 "backing up", 6817 "bypassing", 6818 "hacking", 6819 "overriding", 6820 "compressing", 6821 "copying", 6822 "navigating", 6823 "indexing", 6824 "connecting", 6825 "generating", 6826 "quantifying", 6827 "calculating", 6828 "synthesizing", 6829 "transmitting", 6830 "programming", 6831 "parsing" 6832 ]; 6833 return choice(data, this.rnd); 6834 } 6835 6836 /// 6837 string hackerAdjective() { 6838 auto data = [ 6839 "auxiliary", 6840 "primary", 6841 "back-end", 6842 "digital", 6843 "open-source", 6844 "virtual", 6845 "cross-platform", 6846 "redundant", 6847 "online", 6848 "haptic", 6849 "multi-byte", 6850 "bluetooth", 6851 "wireless", 6852 "1080p", 6853 "neural", 6854 "optical", 6855 "solid state", 6856 "mobile" 6857 ]; 6858 return choice(data, this.rnd); 6859 } 6860 6861 /// 6862 string hackerVerb() { 6863 auto data = [ 6864 "back up", 6865 "bypass", 6866 "hack", 6867 "override", 6868 "compress", 6869 "copy", 6870 "navigate", 6871 "index", 6872 "connect", 6873 "generate", 6874 "quantify", 6875 "calculate", 6876 "synthesize", 6877 "input", 6878 "transmit", 6879 "program", 6880 "reboot", 6881 "parse" 6882 ]; 6883 return choice(data, this.rnd); 6884 } 6885 6886 /// 6887 string hackerAbbreviation() { 6888 auto data = [ 6889 "ADP", 6890 "AGP", 6891 "AI", 6892 "API", 6893 "ASCII", 6894 "CLI", 6895 "COM", 6896 "CSS", 6897 "DNS", 6898 "DRAM", 6899 "EXE", 6900 "FTP", 6901 "GB", 6902 "HDD", 6903 "HEX", 6904 "HTTP", 6905 "IB", 6906 "IP", 6907 "JBOD", 6908 "JSON", 6909 "OCR", 6910 "PCI", 6911 "PNG", 6912 "RAM", 6913 "RSS", 6914 "SAS", 6915 "SCSI", 6916 "SDD", 6917 "SMS", 6918 "SMTP", 6919 "SQL", 6920 "SSD", 6921 "SSL", 6922 "TCP", 6923 "THX", 6924 "TLS", 6925 "UDP", 6926 "USB", 6927 "UTF8", 6928 "VGA", 6929 "XML", 6930 "XSS" 6931 ]; 6932 return choice(data, this.rnd); 6933 } 6934 6935 6936 string hackerPhrase() { 6937 final switch(uniform(0, 14, this.rnd)) { 6938 case 0: return "If we " ~ hackerVerb() ~ " the " ~ hackerNoun(); 6939 case 1: return "we can get to the " ~ hackerAbbreviation() ~ " " ~ hackerNoun() ~ " through the " ~ hackerAdjective() ~ " " ~ hackerAbbreviation() ~ " " ~ hackerNoun() ~ "!"; 6940 case 2: return "We need to " ~ hackerVerb() ~ " the " ~ hackerAdjective() ~ " " ~ hackerAbbreviation() ~ " " ~ hackerNoun() ~ "!"; 6941 case 3: return "Try to " ~ hackerVerb() ~ " the " ~ hackerAbbreviation() ~ " " ~ hackerNoun(); 6942 case 4: return "maybe it will " ~ hackerVerb() ~ " the " ~ hackerAdjective() ~ " " ~ hackerNoun() ~ "!"; 6943 case 5: return "You can't " ~ hackerVerb() ~ " the " ~ hackerNoun() ~ " without " ~ hackerIngverb() ~ " the " ~ hackerAdjective() ~ " " ~ hackerAbbreviation() ~ " " ~ hackerNoun() ~ "!"; 6944 case 6: return "Use the " ~ hackerAdjective() ~ " " ~ hackerAbbreviation() ~ " " ~ hackerNoun(); 6945 case 7: return "then you can " ~ hackerVerb() ~ " the " ~ hackerAdjective() ~ " " ~ hackerNoun() ~ "!"; 6946 case 8: return "The " ~ hackerAbbreviation() ~ " " ~ hackerNoun() ~ " is down"; 6947 case 9: return hackerVerb() ~ " the " ~ hackerAdjective() ~ " " ~ hackerNoun() ~ " so we can " ~ hackerVerb() ~ " the " ~ hackerAbbreviation() ~ " " ~ hackerNoun() ~ "!"; 6948 case 10: return hackerIngverb() ~ " the " ~ hackerNoun() ~ " won't do anything"; 6949 case 11: return "we need to " ~ hackerVerb() ~ " the " ~ hackerAdjective() ~ " " ~ hackerAbbreviation() ~ " " ~ hackerNoun() ~ "!"; 6950 case 12: return "I'll " ~ hackerVerb() ~ " the " ~ hackerAdjective() ~ " " ~ hackerAbbreviation() ~ " " ~ hackerNoun(); 6951 case 13: return "that should " ~ hackerNoun() ~ " the " ~ hackerAbbreviation() ~ " " ~ hackerNoun() ~ "!"; 6952 } 6953 } 6954 6955 /// 6956 string hackerNoun() { 6957 auto data = [ 6958 "driver", 6959 "protocol", 6960 "bandwidth", 6961 "panel", 6962 "microchip", 6963 "program", 6964 "port", 6965 "card", 6966 "array", 6967 "interface", 6968 "system", 6969 "sensor", 6970 "firewall", 6971 "hard drive", 6972 "pixel", 6973 "alarm", 6974 "feed", 6975 "monitor", 6976 "application", 6977 "transmitter", 6978 "bus", 6979 "circuit", 6980 "capacitor", 6981 "matrix" 6982 ]; 6983 return choice(data, this.rnd); 6984 } 6985 6986 /// 6987 string scienceUnit() { 6988 auto data = [ 6989 "{", 6990 "name: 'meter", 6991 "symbol: 'm", 6992 "}", 6993 "{", 6994 "name: 'second", 6995 "symbol: 's", 6996 "}", 6997 "{", 6998 "name: 'mole", 6999 "symbol: 'mol", 7000 "}", 7001 "{", 7002 "name: 'ampere", 7003 "symbol: 'A", 7004 "}", 7005 "{", 7006 "name: 'kelvin", 7007 "symbol: 'K", 7008 "}", 7009 "{", 7010 "name: 'candela", 7011 "symbol: 'cd", 7012 "}", 7013 "{", 7014 "name: 'kilogram", 7015 "symbol: 'kg", 7016 "}", 7017 "{", 7018 "name: 'radian", 7019 "symbol: 'rad", 7020 "}", 7021 "{", 7022 "name: 'hertz", 7023 "symbol: 'Hz", 7024 "}", 7025 "{", 7026 "name: 'newton", 7027 "symbol: 'N", 7028 "}", 7029 "{", 7030 "name: 'pascal", 7031 "symbol: 'Pa", 7032 "}", 7033 "{", 7034 "name: 'joule", 7035 "symbol: 'J", 7036 "}", 7037 "{", 7038 "name: 'watt", 7039 "symbol: 'W", 7040 "}", 7041 "{", 7042 "name: 'coulomb", 7043 "symbol: 'C", 7044 "}", 7045 "{", 7046 "name: 'volt", 7047 "symbol: 'V", 7048 "}", 7049 "{", 7050 "name: 'ohm", 7051 "symbol: 'Ω", 7052 "}", 7053 "{", 7054 "name: 'tesla", 7055 "symbol: 'T", 7056 "}", 7057 "{", 7058 "name: 'degree Celsius", 7059 "symbol: '°C", 7060 "}", 7061 "{", 7062 "name: 'lumen", 7063 "symbol: 'lm", 7064 "}", 7065 "{", 7066 "name: 'becquerel", 7067 "symbol: 'Bq", 7068 "}", 7069 "{", 7070 "name: 'gray", 7071 "symbol: 'Gy", 7072 "}", 7073 "{", 7074 "name: 'sievert", 7075 "symbol: 'Sv", 7076 "}" 7077 ]; 7078 return choice(data, this.rnd); 7079 } 7080 7081 /// 7082 string scienceChemicalelement() { 7083 auto data = [ 7084 "{", 7085 "symbol: 'H", 7086 "name: 'Hydrogen", 7087 "atomicNumber: 1", 7088 "}", 7089 "{", 7090 "symbol: 'He", 7091 "name: 'Helium", 7092 "atomicNumber: 2", 7093 "}", 7094 "{", 7095 "symbol: 'Li", 7096 "name: 'Lithium", 7097 "atomicNumber: 3", 7098 "}", 7099 "{", 7100 "symbol: 'Be", 7101 "name: 'Beryllium", 7102 "atomicNumber: 4", 7103 "}", 7104 "{", 7105 "symbol: 'B", 7106 "name: 'Boron", 7107 "atomicNumber: 5", 7108 "}", 7109 "{", 7110 "symbol: 'C", 7111 "name: 'Carbon", 7112 "atomicNumber: 6", 7113 "}", 7114 "{", 7115 "symbol: 'N", 7116 "name: 'Nitrogen", 7117 "atomicNumber: 7", 7118 "}", 7119 "{", 7120 "symbol: 'O", 7121 "name: 'Oxygen", 7122 "atomicNumber: 8", 7123 "}", 7124 "{", 7125 "symbol: 'F", 7126 "name: 'Fluorine", 7127 "atomicNumber: 9", 7128 "}", 7129 "{", 7130 "symbol: 'Ne", 7131 "name: 'Neon", 7132 "atomicNumber: 10", 7133 "}", 7134 "{", 7135 "symbol: 'Na", 7136 "name: 'Sodium", 7137 "atomicNumber: 11", 7138 "}", 7139 "{", 7140 "symbol: 'Mg", 7141 "name: 'Magnesium", 7142 "atomicNumber: 12", 7143 "}", 7144 "{", 7145 "symbol: 'Al", 7146 "name: 'Aluminium", 7147 "atomicNumber: 13", 7148 "}", 7149 "{", 7150 "symbol: 'Si", 7151 "name: 'Silicon", 7152 "atomicNumber: 14", 7153 "}", 7154 "{", 7155 "symbol: 'P", 7156 "name: 'Phosphorus", 7157 "atomicNumber: 15", 7158 "}", 7159 "{", 7160 "symbol: 'S", 7161 "name: 'Sulfur", 7162 "atomicNumber: 16", 7163 "}", 7164 "{", 7165 "symbol: 'Cl", 7166 "name: 'Chlorine", 7167 "atomicNumber: 17", 7168 "}", 7169 "{", 7170 "symbol: 'Ar", 7171 "name: 'Argon", 7172 "atomicNumber: 18", 7173 "}", 7174 "{", 7175 "symbol: 'K", 7176 "name: 'Potassium", 7177 "atomicNumber: 19", 7178 "}", 7179 "{", 7180 "symbol: 'Ca", 7181 "name: 'Calcium", 7182 "atomicNumber: 20", 7183 "}", 7184 "{", 7185 "symbol: 'Sc", 7186 "name: 'Scandium", 7187 "atomicNumber: 21", 7188 "}", 7189 "{", 7190 "symbol: 'Ti", 7191 "name: 'Titanium", 7192 "atomicNumber: 22", 7193 "}", 7194 "{", 7195 "symbol: 'V", 7196 "name: 'Vanadium", 7197 "atomicNumber: 23", 7198 "}", 7199 "{", 7200 "symbol: 'Cr", 7201 "name: 'Chromium", 7202 "atomicNumber: 24", 7203 "}", 7204 "{", 7205 "symbol: 'Mn", 7206 "name: 'Manganese", 7207 "atomicNumber: 25", 7208 "}", 7209 "{", 7210 "symbol: 'Fe", 7211 "name: 'Iron", 7212 "atomicNumber: 26", 7213 "}", 7214 "{", 7215 "symbol: 'Co", 7216 "name: 'Cobalt", 7217 "atomicNumber: 27", 7218 "}", 7219 "{", 7220 "symbol: 'Ni", 7221 "name: 'Nickel", 7222 "atomicNumber: 28", 7223 "}", 7224 "{", 7225 "symbol: 'Cu", 7226 "name: 'Copper", 7227 "atomicNumber: 29", 7228 "}", 7229 "{", 7230 "symbol: 'Zn", 7231 "name: 'Zinc", 7232 "atomicNumber: 30", 7233 "}", 7234 "{", 7235 "symbol: 'Ga", 7236 "name: 'Gallium", 7237 "atomicNumber: 31", 7238 "}", 7239 "{", 7240 "symbol: 'Ge", 7241 "name: 'Germanium", 7242 "atomicNumber: 32", 7243 "}", 7244 "{", 7245 "symbol: 'As", 7246 "name: 'Arsenic", 7247 "atomicNumber: 33", 7248 "}", 7249 "{", 7250 "symbol: 'Se", 7251 "name: 'Selenium", 7252 "atomicNumber: 34", 7253 "}", 7254 "{", 7255 "symbol: 'Br", 7256 "name: 'Bromine", 7257 "atomicNumber: 35", 7258 "}", 7259 "{", 7260 "symbol: 'Kr", 7261 "name: 'Krypton", 7262 "atomicNumber: 36", 7263 "}", 7264 "{", 7265 "symbol: 'Rb", 7266 "name: 'Rubidium", 7267 "atomicNumber: 37", 7268 "}", 7269 "{", 7270 "symbol: 'Sr", 7271 "name: 'Strontium", 7272 "atomicNumber: 38", 7273 "}", 7274 "{", 7275 "symbol: 'Y", 7276 "name: 'Yttrium", 7277 "atomicNumber: 39", 7278 "}", 7279 "{", 7280 "symbol: 'Zr", 7281 "name: 'Zirconium", 7282 "atomicNumber: 40", 7283 "}", 7284 "{", 7285 "symbol: 'Nb", 7286 "name: 'Niobium", 7287 "atomicNumber: 41", 7288 "}", 7289 "{", 7290 "symbol: 'Mo", 7291 "name: 'Molybdenum", 7292 "atomicNumber: 42", 7293 "}", 7294 "{", 7295 "symbol: 'Tc", 7296 "name: 'Technetium", 7297 "atomicNumber: 43", 7298 "}", 7299 "{", 7300 "symbol: 'Ru", 7301 "name: 'Ruthenium", 7302 "atomicNumber: 44", 7303 "}", 7304 "{", 7305 "symbol: 'Rh", 7306 "name: 'Rhodium", 7307 "atomicNumber: 45", 7308 "}", 7309 "{", 7310 "symbol: 'Pd", 7311 "name: 'Palladium", 7312 "atomicNumber: 46", 7313 "}", 7314 "{", 7315 "symbol: 'Ag", 7316 "name: 'Silver", 7317 "atomicNumber: 47", 7318 "}", 7319 "{", 7320 "symbol: 'Cd", 7321 "name: 'Cadmium", 7322 "atomicNumber: 48", 7323 "}", 7324 "{", 7325 "symbol: 'In", 7326 "name: 'Indium", 7327 "atomicNumber: 49", 7328 "}", 7329 "{", 7330 "symbol: 'Sn", 7331 "name: 'Tin", 7332 "atomicNumber: 50", 7333 "}", 7334 "{", 7335 "symbol: 'Sb", 7336 "name: 'Antimony", 7337 "atomicNumber: 51", 7338 "}", 7339 "{", 7340 "symbol: 'Te", 7341 "name: 'Tellurium", 7342 "atomicNumber: 52", 7343 "}", 7344 "{", 7345 "symbol: 'I", 7346 "name: 'Iodine", 7347 "atomicNumber: 53", 7348 "}", 7349 "{", 7350 "symbol: 'Xe", 7351 "name: 'Xenon", 7352 "atomicNumber: 54", 7353 "}", 7354 "{", 7355 "symbol: 'Cs", 7356 "name: 'Caesium", 7357 "atomicNumber: 55", 7358 "}", 7359 "{", 7360 "symbol: 'Ba", 7361 "name: 'Barium", 7362 "atomicNumber: 56", 7363 "}", 7364 "{", 7365 "symbol: 'La", 7366 "name: 'Lanthanum", 7367 "atomicNumber: 57", 7368 "}", 7369 "{", 7370 "symbol: 'Ce", 7371 "name: 'Cerium", 7372 "atomicNumber: 58", 7373 "}", 7374 "{", 7375 "symbol: 'Pr", 7376 "name: 'Praseodymium", 7377 "atomicNumber: 59", 7378 "}", 7379 "{", 7380 "symbol: 'Nd", 7381 "name: 'Neodymium", 7382 "atomicNumber: 60", 7383 "}", 7384 "{", 7385 "symbol: 'Pm", 7386 "name: 'Promethium", 7387 "atomicNumber: 61", 7388 "}", 7389 "{", 7390 "symbol: 'Sm", 7391 "name: 'Samarium", 7392 "atomicNumber: 62", 7393 "}", 7394 "{", 7395 "symbol: 'Eu", 7396 "name: 'Europium", 7397 "atomicNumber: 63", 7398 "}", 7399 "{", 7400 "symbol: 'Gd", 7401 "name: 'Gadolinium", 7402 "atomicNumber: 64", 7403 "}", 7404 "{", 7405 "symbol: 'Tb", 7406 "name: 'Terbium", 7407 "atomicNumber: 65", 7408 "}", 7409 "{", 7410 "symbol: 'Dy", 7411 "name: 'Dysprosium", 7412 "atomicNumber: 66", 7413 "}", 7414 "{", 7415 "symbol: 'Ho", 7416 "name: 'Holmium", 7417 "atomicNumber: 67", 7418 "}", 7419 "{", 7420 "symbol: 'Er", 7421 "name: 'Erbium", 7422 "atomicNumber: 68", 7423 "}", 7424 "{", 7425 "symbol: 'Tm", 7426 "name: 'Thulium", 7427 "atomicNumber: 69", 7428 "}", 7429 "{", 7430 "symbol: 'Yb", 7431 "name: 'Ytterbium", 7432 "atomicNumber: 70", 7433 "}", 7434 "{", 7435 "symbol: 'Lu", 7436 "name: 'Lutetium", 7437 "atomicNumber: 71", 7438 "}", 7439 "{", 7440 "symbol: 'Hf", 7441 "name: 'Hafnium", 7442 "atomicNumber: 72", 7443 "}", 7444 "{", 7445 "symbol: 'Ta", 7446 "name: 'Tantalum", 7447 "atomicNumber: 73", 7448 "}", 7449 "{", 7450 "symbol: 'W", 7451 "name: 'Tungsten", 7452 "atomicNumber: 74", 7453 "}", 7454 "{", 7455 "symbol: 'Re", 7456 "name: 'Rhenium", 7457 "atomicNumber: 75", 7458 "}", 7459 "{", 7460 "symbol: 'Os", 7461 "name: 'Osmium", 7462 "atomicNumber: 76", 7463 "}", 7464 "{", 7465 "symbol: 'Ir", 7466 "name: 'Iridium", 7467 "atomicNumber: 77", 7468 "}", 7469 "{", 7470 "symbol: 'Pt", 7471 "name: 'Platinum", 7472 "atomicNumber: 78", 7473 "}", 7474 "{", 7475 "symbol: 'Au", 7476 "name: 'Gold", 7477 "atomicNumber: 79", 7478 "}", 7479 "{", 7480 "symbol: 'Hg", 7481 "name: 'Mercury", 7482 "atomicNumber: 80", 7483 "}", 7484 "{", 7485 "symbol: 'Tl", 7486 "name: 'Thallium", 7487 "atomicNumber: 81", 7488 "}", 7489 "{", 7490 "symbol: 'Pb", 7491 "name: 'Lead", 7492 "atomicNumber: 82", 7493 "}", 7494 "{", 7495 "symbol: 'Bi", 7496 "name: 'Bismuth", 7497 "atomicNumber: 83", 7498 "}", 7499 "{", 7500 "symbol: 'Po", 7501 "name: 'Polonium", 7502 "atomicNumber: 84", 7503 "}", 7504 "{", 7505 "symbol: 'At", 7506 "name: 'Astatine", 7507 "atomicNumber: 85", 7508 "}", 7509 "{", 7510 "symbol: 'Rn", 7511 "name: 'Radon", 7512 "atomicNumber: 86", 7513 "}", 7514 "{", 7515 "symbol: 'Fr", 7516 "name: 'Francium", 7517 "atomicNumber: 87", 7518 "}", 7519 "{", 7520 "symbol: 'Ra", 7521 "name: 'Radium", 7522 "atomicNumber: 88", 7523 "}", 7524 "{", 7525 "symbol: 'Ac", 7526 "name: 'Actinium", 7527 "atomicNumber: 89", 7528 "}", 7529 "{", 7530 "symbol: 'Th", 7531 "name: 'Thorium", 7532 "atomicNumber: 90", 7533 "}", 7534 "{", 7535 "symbol: 'Pa", 7536 "name: 'Protactinium", 7537 "atomicNumber: 91", 7538 "}", 7539 "{", 7540 "symbol: 'U", 7541 "name: 'Uranium", 7542 "atomicNumber: 92", 7543 "}", 7544 "{", 7545 "symbol: 'Np", 7546 "name: 'Neptunium", 7547 "atomicNumber: 93", 7548 "}", 7549 "{", 7550 "symbol: 'Pu", 7551 "name: 'Plutonium", 7552 "atomicNumber: 94", 7553 "}", 7554 "{", 7555 "symbol: 'Am", 7556 "name: 'Americium", 7557 "atomicNumber: 95", 7558 "}", 7559 "{", 7560 "symbol: 'Cm", 7561 "name: 'Curium", 7562 "atomicNumber: 96", 7563 "}", 7564 "{", 7565 "symbol: 'Bk", 7566 "name: 'Berkelium", 7567 "atomicNumber: 97", 7568 "}", 7569 "{", 7570 "symbol: 'Cf", 7571 "name: 'Californium", 7572 "atomicNumber: 98", 7573 "}", 7574 "{", 7575 "symbol: 'Es", 7576 "name: 'Einsteinium", 7577 "atomicNumber: 99", 7578 "}", 7579 "{", 7580 "symbol: 'Fm", 7581 "name: 'Fermium", 7582 "atomicNumber: 100", 7583 "}", 7584 "{", 7585 "symbol: 'Md", 7586 "name: 'Mendelevium", 7587 "atomicNumber: 101", 7588 "}", 7589 "{", 7590 "symbol: 'No", 7591 "name: 'Nobelium", 7592 "atomicNumber: 102", 7593 "}", 7594 "{", 7595 "symbol: 'Lr", 7596 "name: 'Lawrencium", 7597 "atomicNumber: 103", 7598 "}", 7599 "{", 7600 "symbol: 'Rf", 7601 "name: 'Rutherfordium", 7602 "atomicNumber: 104", 7603 "}", 7604 "{", 7605 "symbol: 'Db", 7606 "name: 'Dubnium", 7607 "atomicNumber: 105", 7608 "}", 7609 "{", 7610 "symbol: 'Sg", 7611 "name: 'Seaborgium", 7612 "atomicNumber: 106", 7613 "}", 7614 "{", 7615 "symbol: 'Bh", 7616 "name: 'Bohrium", 7617 "atomicNumber: 107", 7618 "}", 7619 "{", 7620 "symbol: 'Hs", 7621 "name: 'Hassium", 7622 "atomicNumber: 108", 7623 "}", 7624 "{", 7625 "symbol: 'Mt", 7626 "name: 'Meitnerium", 7627 "atomicNumber: 109", 7628 "}", 7629 "{", 7630 "symbol: 'Ds", 7631 "name: 'Darmstadtium", 7632 "atomicNumber: 110", 7633 "}", 7634 "{", 7635 "symbol: 'Rg", 7636 "name: 'Roentgenium", 7637 "atomicNumber: 111", 7638 "}", 7639 "{", 7640 "symbol: 'Cn", 7641 "name: 'Copernicium", 7642 "atomicNumber: 112", 7643 "}", 7644 "{", 7645 "symbol: 'Nh", 7646 "name: 'Nihonium", 7647 "atomicNumber: 113", 7648 "}", 7649 "{", 7650 "symbol: 'Fl", 7651 "name: 'Flerovium", 7652 "atomicNumber: 114", 7653 "}", 7654 "{", 7655 "symbol: 'Mc", 7656 "name: 'Moscovium", 7657 "atomicNumber: 115", 7658 "}", 7659 "{", 7660 "symbol: 'Lv", 7661 "name: 'Livermorium", 7662 "atomicNumber: 116", 7663 "}", 7664 "{", 7665 "symbol: 'Ts", 7666 "name: 'Tennessine", 7667 "atomicNumber: 117", 7668 "}", 7669 "{", 7670 "symbol: 'Og", 7671 "name: 'Oganesson", 7672 "atomicNumber: 118", 7673 "}" 7674 ]; 7675 return choice(data, this.rnd); 7676 } 7677 7678 /// 7679 string nameFemaleMiddleName() { 7680 auto data = [ 7681 "Abigail", 7682 "Adele", 7683 "Alex", 7684 "Alice", 7685 "Alisha", 7686 "Amber", 7687 "Amelia", 7688 "Amora", 7689 "Anaïs", 7690 "Angelou", 7691 "Anika", 7692 "Anise", 7693 "Annabel", 7694 "Anne", 7695 "Aphrodite", 7696 "Aretha", 7697 "Arya", 7698 "Ashton", 7699 "Aster", 7700 "Audrey", 7701 "Avery", 7702 "Bailee", 7703 "Bay", 7704 "Belle", 7705 "Beth", 7706 "Billie", 7707 "Blair", 7708 "Blaise", 7709 "Blake", 7710 "Blanche", 7711 "Blue", 7712 "Bree", 7713 "Brielle", 7714 "Brienne", 7715 "Brooke", 7716 "Caleen", 7717 "Candice", 7718 "Caprice", 7719 "Carelyn", 7720 "Caylen", 7721 "Celine", 7722 "Cerise", 7723 "Cia", 7724 "Claire", 7725 "Claudia", 7726 "Clementine", 7727 "Coral", 7728 "Coraline", 7729 "Dahlia", 7730 "Dakota", 7731 "Dawn", 7732 "Della", 7733 "Demi", 7734 "Denise", 7735 "Denver", 7736 "Devine", 7737 "Devon", 7738 "Diana", 7739 "Dylan", 7740 "Ebony", 7741 "Eden", 7742 "Eleanor", 7743 "Elein", 7744 "Elizabeth", 7745 "Ellen", 7746 "Elodie", 7747 "Eloise", 7748 "Ember", 7749 "Emma", 7750 "Erin", 7751 "Eyre", 7752 "Faith", 7753 "Farrah", 7754 "Fawn", 7755 "Fayre", 7756 "Fern", 7757 "France", 7758 "Francis", 7759 "Frida", 7760 "Genisis", 7761 "Georgia", 7762 "Grace", 7763 "Gwen", 7764 "Harley", 7765 "Harper", 7766 "Hazel", 7767 "Helen", 7768 "Hippolyta", 7769 "Holly", 7770 "Hope", 7771 "Imani", 7772 "Iowa", 7773 "Ireland", 7774 "Irene", 7775 "Iris", 7776 "Isa", 7777 "Isla", 7778 "Ivy", 7779 "Jade", 7780 "Jane", 7781 "Jazz", 7782 "Jean", 7783 "Jess", 7784 "Jett", 7785 "Jo", 7786 "Joan", 7787 "Jolie", 7788 "Jordan", 7789 "Josie", 7790 "Journey", 7791 "Joy", 7792 "Jules", 7793 "Julien", 7794 "Juliet", 7795 "Juniper", 7796 "Justice", 7797 "Kali", 7798 "Karma", 7799 "Kat", 7800 "Kate", 7801 "Kennedy", 7802 "Keva", 7803 "Kylie", 7804 "Lake", 7805 "Lane", 7806 "Lark", 7807 "Layla", 7808 "Lee", 7809 "Leigh", 7810 "Leona", 7811 "Lexi", 7812 "London", 7813 "Lou", 7814 "Louise", 7815 "Love", 7816 "Luna", 7817 "Lux", 7818 "Lynn", 7819 "Lyric", 7820 "Maddie", 7821 "Mae", 7822 "Marie", 7823 "Matilda", 7824 "Maude", 7825 "Maybel", 7826 "Meadow", 7827 "Medusa", 7828 "Mercy", 7829 "Michelle", 7830 "Mirabel", 7831 "Monroe", 7832 "Morgan", 7833 "Nalia", 7834 "Naomi", 7835 "Nova", 7836 "Olive", 7837 "Paige", 7838 "Parker", 7839 "Pax", 7840 "Pearl", 7841 "Penelope", 7842 "Phoenix", 7843 "Quinn", 7844 "Rae", 7845 "Rain", 7846 "Raven", 7847 "Ray", 7848 "Raye", 7849 "Rebel", 7850 "Reese", 7851 "Reeve", 7852 "Regan", 7853 "Riley", 7854 "River", 7855 "Robin", 7856 "Rory", 7857 "Rose", 7858 "Royal", 7859 "Ruth", 7860 "Rylie", 7861 "Sage", 7862 "Sam", 7863 "Saturn", 7864 "Scout", 7865 "Serena", 7866 "Sky", 7867 "Skylar", 7868 "Sofia", 7869 "Sophia", 7870 "Storm", 7871 "Sue", 7872 "Suzanne", 7873 "Sydney", 7874 "Taylen", 7875 "Taylor", 7876 "Teagan", 7877 "Tempest", 7878 "Tenley", 7879 "Thea", 7880 "Trinity", 7881 "Valerie", 7882 "Venus", 7883 "Vera", 7884 "Violet", 7885 "Willow", 7886 "Winter", 7887 "Xena", 7888 "Zaylee", 7889 "Zion", 7890 "Zoe" 7891 ]; 7892 return choice(data, this.rnd); 7893 } 7894 7895 /// 7896 string nameMaleMiddleName() { 7897 auto data = [ 7898 "Ace", 7899 "Aiden", 7900 "Alexander", 7901 "Ander", 7902 "Anthony", 7903 "Asher", 7904 "August", 7905 "Aziel", 7906 "Bear", 7907 "Beckham", 7908 "Benjamin", 7909 "Buddy", 7910 "Calvin", 7911 "Carter", 7912 "Charles", 7913 "Christopher", 7914 "Clyde", 7915 "Cooper", 7916 "Daniel", 7917 "David", 7918 "Dior", 7919 "Dylan", 7920 "Elijah", 7921 "Ellis", 7922 "Emerson", 7923 "Ethan", 7924 "Ezra", 7925 "Fletcher", 7926 "Flynn", 7927 "Gabriel", 7928 "Grayson", 7929 "Gus", 7930 "Hank", 7931 "Harrison", 7932 "Hendrix", 7933 "Henry", 7934 "Houston", 7935 "Hudson", 7936 "Hugh", 7937 "Isaac", 7938 "Jack", 7939 "Jackson", 7940 "Jacob", 7941 "Jakobe", 7942 "James", 7943 "Jaxon", 7944 "Jaxtyn", 7945 "Jayden", 7946 "John", 7947 "Joseph", 7948 "Josiah", 7949 "Jude", 7950 "Julian", 7951 "Karsyn", 7952 "Kenji", 7953 "Kobe", 7954 "Kylo", 7955 "Lennon", 7956 "Leo", 7957 "Levi", 7958 "Liam", 7959 "Lincoln", 7960 "Logan", 7961 "Louis", 7962 "Lucas", 7963 "Lucky", 7964 "Luke", 7965 "Mason", 7966 "Mateo", 7967 "Matthew", 7968 "Maverick", 7969 "Michael", 7970 "Monroe", 7971 "Nixon", 7972 "Ocean", 7973 "Oliver", 7974 "Otis", 7975 "Otto", 7976 "Owen", 7977 "Ozzy", 7978 "Parker", 7979 "Rocky", 7980 "Samuel", 7981 "Sebastian", 7982 "Sonny", 7983 "Teddy", 7984 "Theo", 7985 "Theodore", 7986 "Thomas", 7987 "Truett", 7988 "Walter", 7989 "Warren", 7990 "Watson", 7991 "William", 7992 "Wison", 7993 "Wyatt", 7994 "Ziggy", 7995 "Zyair" 7996 ]; 7997 return choice(data, this.rnd); 7998 } 7999 8000 /// 8001 string nameMaleFirstName() { 8002 auto data = [ 8003 "James", 8004 "John", 8005 "Robert", 8006 "Michael", 8007 "William", 8008 "David", 8009 "Richard", 8010 "Charles", 8011 "Joseph", 8012 "Thomas", 8013 "Christopher", 8014 "Daniel", 8015 "Paul", 8016 "Mark", 8017 "Donald", 8018 "George", 8019 "Kenneth", 8020 "Steven", 8021 "Edward", 8022 "Brian", 8023 "Ronald", 8024 "Anthony", 8025 "Kevin", 8026 "Jason", 8027 "Matthew", 8028 "Gary", 8029 "Timothy", 8030 "Jose", 8031 "Larry", 8032 "Jeffrey", 8033 "Frank", 8034 "Scott", 8035 "Eric", 8036 "Stephen", 8037 "Andrew", 8038 "Raymond", 8039 "Gregory", 8040 "Joshua", 8041 "Jerry", 8042 "Dennis", 8043 "Walter", 8044 "Patrick", 8045 "Peter", 8046 "Harold", 8047 "Douglas", 8048 "Henry", 8049 "Carl", 8050 "Arthur", 8051 "Ryan", 8052 "Roger", 8053 "Joe", 8054 "Juan", 8055 "Jack", 8056 "Albert", 8057 "Jonathan", 8058 "Justin", 8059 "Terry", 8060 "Gerald", 8061 "Keith", 8062 "Samuel", 8063 "Willie", 8064 "Ralph", 8065 "Lawrence", 8066 "Nicholas", 8067 "Roy", 8068 "Benjamin", 8069 "Bruce", 8070 "Brandon", 8071 "Adam", 8072 "Harry", 8073 "Fred", 8074 "Wayne", 8075 "Billy", 8076 "Steve", 8077 "Louis", 8078 "Jeremy", 8079 "Aaron", 8080 "Randy", 8081 "Howard", 8082 "Eugene", 8083 "Carlos", 8084 "Russell", 8085 "Bobby", 8086 "Victor", 8087 "Martin", 8088 "Ernest", 8089 "Phillip", 8090 "Todd", 8091 "Jesse", 8092 "Craig", 8093 "Alan", 8094 "Shawn", 8095 "Clarence", 8096 "Sean", 8097 "Philip", 8098 "Chris", 8099 "Johnny", 8100 "Earl", 8101 "Jimmy", 8102 "Antonio", 8103 "Danny", 8104 "Bryan", 8105 "Tony", 8106 "Luis", 8107 "Mike", 8108 "Stanley", 8109 "Leonard", 8110 "Nathan", 8111 "Dale", 8112 "Manuel", 8113 "Rodney", 8114 "Curtis", 8115 "Norman", 8116 "Allen", 8117 "Marvin", 8118 "Vincent", 8119 "Glenn", 8120 "Jeffery", 8121 "Travis", 8122 "Jeff", 8123 "Chad", 8124 "Jacob", 8125 "Lee", 8126 "Melvin", 8127 "Alfred", 8128 "Kyle", 8129 "Francis", 8130 "Bradley", 8131 "Jesus", 8132 "Herbert", 8133 "Frederick", 8134 "Ray", 8135 "Joel", 8136 "Edwin", 8137 "Don", 8138 "Eddie", 8139 "Ricky", 8140 "Troy", 8141 "Randall", 8142 "Barry", 8143 "Alexander", 8144 "Bernard", 8145 "Mario", 8146 "Leroy", 8147 "Francisco", 8148 "Marcus", 8149 "Micheal", 8150 "Theodore", 8151 "Clifford", 8152 "Miguel", 8153 "Oscar", 8154 "Jay", 8155 "Jim", 8156 "Tom", 8157 "Calvin", 8158 "Alex", 8159 "Jon", 8160 "Ronnie", 8161 "Bill", 8162 "Lloyd", 8163 "Tommy", 8164 "Leon", 8165 "Derek", 8166 "Warren", 8167 "Darrell", 8168 "Jerome", 8169 "Floyd", 8170 "Leo", 8171 "Alvin", 8172 "Tim", 8173 "Wesley", 8174 "Gordon", 8175 "Dean", 8176 "Greg", 8177 "Jorge", 8178 "Dustin", 8179 "Pedro", 8180 "Derrick", 8181 "Dan", 8182 "Lewis", 8183 "Zachary", 8184 "Corey", 8185 "Herman", 8186 "Maurice", 8187 "Vernon", 8188 "Roberto", 8189 "Clyde", 8190 "Glen", 8191 "Hector", 8192 "Shane", 8193 "Ricardo", 8194 "Sam", 8195 "Rick", 8196 "Lester", 8197 "Brent", 8198 "Ramon", 8199 "Charlie", 8200 "Tyler", 8201 "Gilbert", 8202 "Gene", 8203 "Marc", 8204 "Reginald", 8205 "Ruben", 8206 "Brett", 8207 "Angel", 8208 "Nathaniel", 8209 "Rafael", 8210 "Leslie", 8211 "Edgar", 8212 "Milton", 8213 "Raul", 8214 "Ben", 8215 "Chester", 8216 "Cecil", 8217 "Duane", 8218 "Franklin", 8219 "Andre", 8220 "Elmer", 8221 "Brad", 8222 "Gabriel", 8223 "Ron", 8224 "Mitchell", 8225 "Roland", 8226 "Arnold", 8227 "Harvey", 8228 "Jared", 8229 "Adrian", 8230 "Karl", 8231 "Cory", 8232 "Claude", 8233 "Erik", 8234 "Darryl", 8235 "Jamie", 8236 "Neil", 8237 "Jessie", 8238 "Christian", 8239 "Javier", 8240 "Fernando", 8241 "Clinton", 8242 "Ted", 8243 "Mathew", 8244 "Tyrone", 8245 "Darren", 8246 "Lonnie", 8247 "Lance", 8248 "Cody", 8249 "Julio", 8250 "Kelly", 8251 "Kurt", 8252 "Allan", 8253 "Nelson", 8254 "Guy", 8255 "Clayton", 8256 "Hugh", 8257 "Max", 8258 "Dwayne", 8259 "Dwight", 8260 "Armando", 8261 "Felix", 8262 "Jimmie", 8263 "Everett", 8264 "Jordan", 8265 "Ian", 8266 "Wallace", 8267 "Ken", 8268 "Bob", 8269 "Jaime", 8270 "Casey", 8271 "Alfredo", 8272 "Alberto", 8273 "Dave", 8274 "Ivan", 8275 "Johnnie", 8276 "Sidney", 8277 "Byron", 8278 "Julian", 8279 "Isaac", 8280 "Morris", 8281 "Clifton", 8282 "Willard", 8283 "Daryl", 8284 "Ross", 8285 "Virgil", 8286 "Andy", 8287 "Marshall", 8288 "Salvador", 8289 "Perry", 8290 "Kirk", 8291 "Sergio", 8292 "Marion", 8293 "Tracy", 8294 "Seth", 8295 "Kent", 8296 "Terrance", 8297 "Rene", 8298 "Eduardo", 8299 "Terrence", 8300 "Enrique", 8301 "Freddie", 8302 "Wade", 8303 "Austin", 8304 "Stuart", 8305 "Fredrick", 8306 "Arturo", 8307 "Alejandro", 8308 "Jackie", 8309 "Joey", 8310 "Nick", 8311 "Luther", 8312 "Wendell", 8313 "Jeremiah", 8314 "Evan", 8315 "Julius", 8316 "Dana", 8317 "Donnie", 8318 "Otis", 8319 "Shannon", 8320 "Trevor", 8321 "Oliver", 8322 "Luke", 8323 "Homer", 8324 "Gerard", 8325 "Doug", 8326 "Kenny", 8327 "Hubert", 8328 "Angelo", 8329 "Shaun", 8330 "Lyle", 8331 "Matt", 8332 "Lynn", 8333 "Alfonso", 8334 "Orlando", 8335 "Rex", 8336 "Carlton", 8337 "Ernesto", 8338 "Cameron", 8339 "Neal", 8340 "Pablo", 8341 "Lorenzo", 8342 "Omar", 8343 "Wilbur", 8344 "Blake", 8345 "Grant", 8346 "Horace", 8347 "Roderick", 8348 "Kerry", 8349 "Abraham", 8350 "Willis", 8351 "Rickey", 8352 "Jean", 8353 "Ira", 8354 "Andres", 8355 "Cesar", 8356 "Johnathan", 8357 "Malcolm", 8358 "Rudolph", 8359 "Damon", 8360 "Kelvin", 8361 "Rudy", 8362 "Preston", 8363 "Alton", 8364 "Archie", 8365 "Marco", 8366 "Wm", 8367 "Pete", 8368 "Randolph", 8369 "Garry", 8370 "Geoffrey", 8371 "Jonathon", 8372 "Felipe", 8373 "Bennie", 8374 "Gerardo", 8375 "Ed", 8376 "Dominic", 8377 "Robin", 8378 "Loren", 8379 "Delbert", 8380 "Colin", 8381 "Guillermo", 8382 "Earnest", 8383 "Lucas", 8384 "Benny", 8385 "Noel", 8386 "Spencer", 8387 "Rodolfo", 8388 "Myron", 8389 "Edmund", 8390 "Garrett", 8391 "Salvatore", 8392 "Cedric", 8393 "Lowell", 8394 "Gregg", 8395 "Sherman", 8396 "Wilson", 8397 "Devin", 8398 "Sylvester", 8399 "Kim", 8400 "Roosevelt", 8401 "Israel", 8402 "Jermaine", 8403 "Forrest", 8404 "Wilbert", 8405 "Leland", 8406 "Simon", 8407 "Guadalupe", 8408 "Clark", 8409 "Irving", 8410 "Carroll", 8411 "Bryant", 8412 "Owen", 8413 "Rufus", 8414 "Woodrow", 8415 "Sammy", 8416 "Kristopher", 8417 "Mack", 8418 "Levi", 8419 "Marcos", 8420 "Gustavo", 8421 "Jake", 8422 "Lionel", 8423 "Marty", 8424 "Taylor", 8425 "Ellis", 8426 "Dallas", 8427 "Gilberto", 8428 "Clint", 8429 "Nicolas", 8430 "Laurence", 8431 "Ismael", 8432 "Orville", 8433 "Drew", 8434 "Jody", 8435 "Ervin", 8436 "Dewey", 8437 "Al", 8438 "Wilfred", 8439 "Josh", 8440 "Hugo", 8441 "Ignacio", 8442 "Caleb", 8443 "Tomas", 8444 "Sheldon", 8445 "Erick", 8446 "Frankie", 8447 "Stewart", 8448 "Doyle", 8449 "Darrel", 8450 "Rogelio", 8451 "Terence", 8452 "Santiago", 8453 "Alonzo", 8454 "Elias", 8455 "Bert", 8456 "Elbert", 8457 "Ramiro", 8458 "Conrad", 8459 "Pat", 8460 "Noah", 8461 "Grady", 8462 "Phil", 8463 "Cornelius", 8464 "Lamar", 8465 "Rolando", 8466 "Clay", 8467 "Percy", 8468 "Dexter", 8469 "Bradford", 8470 "Merle", 8471 "Darin", 8472 "Amos", 8473 "Terrell", 8474 "Moses", 8475 "Irvin", 8476 "Saul", 8477 "Roman", 8478 "Darnell", 8479 "Randal", 8480 "Tommie", 8481 "Timmy", 8482 "Darrin", 8483 "Winston", 8484 "Brendan", 8485 "Toby", 8486 "Van", 8487 "Abel", 8488 "Dominick", 8489 "Boyd", 8490 "Courtney", 8491 "Jan", 8492 "Emilio", 8493 "Elijah", 8494 "Cary", 8495 "Domingo", 8496 "Santos", 8497 "Aubrey", 8498 "Emmett", 8499 "Marlon", 8500 "Emanuel", 8501 "Jerald", 8502 "Edmond" 8503 ]; 8504 return choice(data, this.rnd); 8505 } 8506 8507 /// 8508 string nameSuffix() { 8509 auto data = [ 8510 "Jr.", 8511 "Sr.", 8512 "I", 8513 "II", 8514 "III", 8515 "IV", 8516 "V", 8517 "MD", 8518 "DDS", 8519 "PhD", 8520 "DVM" 8521 ]; 8522 return choice(data, this.rnd); 8523 } 8524 8525 /// 8526 string nameLastName() { 8527 auto data = [ 8528 "Abbott", 8529 "Abernathy", 8530 "Abshire", 8531 "Adams", 8532 "Altenwerth", 8533 "Anderson", 8534 "Ankunding", 8535 "Armstrong", 8536 "Auer", 8537 "Aufderhar", 8538 "Bahringer", 8539 "Bailey", 8540 "Balistreri", 8541 "Barrows", 8542 "Bartell", 8543 "Bartoletti", 8544 "Barton", 8545 "Bashirian", 8546 "Batz", 8547 "Bauch", 8548 "Baumbach", 8549 "Bayer", 8550 "Beahan", 8551 "Beatty", 8552 "Bechtelar", 8553 "Becker", 8554 "Bednar", 8555 "Beer", 8556 "Beier", 8557 "Berge", 8558 "Bergnaum", 8559 "Bergstrom", 8560 "Bernhard", 8561 "Bernier", 8562 "Bins", 8563 "Blanda", 8564 "Blick", 8565 "Block", 8566 "Bode", 8567 "Boehm", 8568 "Bogan", 8569 "Bogisich", 8570 "Borer", 8571 "Bosco", 8572 "Botsford", 8573 "Boyer", 8574 "Boyle", 8575 "Bradtke", 8576 "Brakus", 8577 "Braun", 8578 "Breitenberg", 8579 "Brekke", 8580 "Brown", 8581 "Bruen", 8582 "Buckridge", 8583 "Carroll", 8584 "Carter", 8585 "Cartwright", 8586 "Casper", 8587 "Cassin", 8588 "Champlin", 8589 "Christiansen", 8590 "Cole", 8591 "Collier", 8592 "Collins", 8593 "Conn", 8594 "Connelly", 8595 "Conroy", 8596 "Considine", 8597 "Corkery", 8598 "Cormier", 8599 "Corwin", 8600 "Cremin", 8601 "Crist", 8602 "Crona", 8603 "Cronin", 8604 "Crooks", 8605 "Cruickshank", 8606 "Cummerata", 8607 "Cummings", 8608 "Dach", 8609 "D'Amore", 8610 "Daniel", 8611 "Dare", 8612 "Daugherty", 8613 "Davis", 8614 "Deckow", 8615 "Denesik", 8616 "Dibbert", 8617 "Dickens", 8618 "Dicki", 8619 "Dickinson", 8620 "Dietrich", 8621 "Donnelly", 8622 "Dooley", 8623 "Douglas", 8624 "Doyle", 8625 "DuBuque", 8626 "Durgan", 8627 "Ebert", 8628 "Effertz", 8629 "Emard", 8630 "Emmerich", 8631 "Erdman", 8632 "Ernser", 8633 "Fadel", 8634 "Fahey", 8635 "Farrell", 8636 "Fay", 8637 "Feeney", 8638 "Feest", 8639 "Feil", 8640 "Ferry", 8641 "Fisher", 8642 "Flatley", 8643 "Frami", 8644 "Franecki", 8645 "Franey", 8646 "Friesen", 8647 "Fritsch", 8648 "Funk", 8649 "Gaylord", 8650 "Gerhold", 8651 "Gerlach", 8652 "Gibson", 8653 "Gislason", 8654 "Gleason", 8655 "Gleichner", 8656 "Glover", 8657 "Goldner", 8658 "Goodwin", 8659 "Gorczany", 8660 "Gottlieb", 8661 "Goyette", 8662 "Grady", 8663 "Graham", 8664 "Grant", 8665 "Green", 8666 "Greenfelder", 8667 "Greenholt", 8668 "Grimes", 8669 "Gulgowski", 8670 "Gusikowski", 8671 "Gutkowski", 8672 "Gutmann", 8673 "Haag", 8674 "Hackett", 8675 "Hagenes", 8676 "Hahn", 8677 "Haley", 8678 "Halvorson", 8679 "Hamill", 8680 "Hammes", 8681 "Hand", 8682 "Hane", 8683 "Hansen", 8684 "Harber", 8685 "Harris", 8686 "Hartmann", 8687 "Harvey", 8688 "Hauck", 8689 "Hayes", 8690 "Heaney", 8691 "Heathcote", 8692 "Hegmann", 8693 "Heidenreich", 8694 "Heller", 8695 "Herman", 8696 "Hermann", 8697 "Hermiston", 8698 "Herzog", 8699 "Hessel", 8700 "Hettinger", 8701 "Hickle", 8702 "Hilll", 8703 "Hills", 8704 "Hilpert", 8705 "Hintz", 8706 "Hirthe", 8707 "Hodkiewicz", 8708 "Hoeger", 8709 "Homenick", 8710 "Hoppe", 8711 "Howe", 8712 "Howell", 8713 "Hudson", 8714 "Huel", 8715 "Huels", 8716 "Hyatt", 8717 "Jacobi", 8718 "Jacobs", 8719 "Jacobson", 8720 "Jakubowski", 8721 "Jaskolski", 8722 "Jast", 8723 "Jenkins", 8724 "Jerde", 8725 "Johns", 8726 "Johnson", 8727 "Johnston", 8728 "Jones", 8729 "Kassulke", 8730 "Kautzer", 8731 "Keebler", 8732 "Keeling", 8733 "Kemmer", 8734 "Kerluke", 8735 "Kertzmann", 8736 "Kessler", 8737 "Kiehn", 8738 "Kihn", 8739 "Kilback", 8740 "King", 8741 "Kirlin", 8742 "Klein", 8743 "Kling", 8744 "Klocko", 8745 "Koch", 8746 "Koelpin", 8747 "Koepp", 8748 "Kohler", 8749 "Konopelski", 8750 "Koss", 8751 "Kovacek", 8752 "Kozey", 8753 "Krajcik", 8754 "Kreiger", 8755 "Kris", 8756 "Kshlerin", 8757 "Kub", 8758 "Kuhic", 8759 "Kuhlman", 8760 "Kuhn", 8761 "Kulas", 8762 "Kunde", 8763 "Kunze", 8764 "Kuphal", 8765 "Kutch", 8766 "Kuvalis", 8767 "Labadie", 8768 "Lakin", 8769 "Lang", 8770 "Langosh", 8771 "Langworth", 8772 "Larkin", 8773 "Larson", 8774 "Leannon", 8775 "Lebsack", 8776 "Ledner", 8777 "Leffler", 8778 "Legros", 8779 "Lehner", 8780 "Lemke", 8781 "Lesch", 8782 "Leuschke", 8783 "Lind", 8784 "Lindgren", 8785 "Littel", 8786 "Little", 8787 "Lockman", 8788 "Lowe", 8789 "Lubowitz", 8790 "Lueilwitz", 8791 "Luettgen", 8792 "Lynch", 8793 "Macejkovic", 8794 "MacGyver", 8795 "Maggio", 8796 "Mann", 8797 "Mante", 8798 "Marks", 8799 "Marquardt", 8800 "Marvin", 8801 "Mayer", 8802 "Mayert", 8803 "McClure", 8804 "McCullough", 8805 "McDermott", 8806 "McGlynn", 8807 "McKenzie", 8808 "McLaughlin", 8809 "Medhurst", 8810 "Mertz", 8811 "Metz", 8812 "Miller", 8813 "Mills", 8814 "Mitchell", 8815 "Moen", 8816 "Mohr", 8817 "Monahan", 8818 "Moore", 8819 "Morar", 8820 "Morissette", 8821 "Mosciski", 8822 "Mraz", 8823 "Mueller", 8824 "Muller", 8825 "Murazik", 8826 "Murphy", 8827 "Murray", 8828 "Nader", 8829 "Nicolas", 8830 "Nienow", 8831 "Nikolaus", 8832 "Nitzsche", 8833 "Nolan", 8834 "Oberbrunner", 8835 "O'Connell", 8836 "O'Conner", 8837 "O'Hara", 8838 "O'Keefe", 8839 "O'Kon", 8840 "Okuneva", 8841 "Olson", 8842 "Ondricka", 8843 "O'Reilly", 8844 "Orn", 8845 "Ortiz", 8846 "Osinski", 8847 "Pacocha", 8848 "Padberg", 8849 "Pagac", 8850 "Parisian", 8851 "Parker", 8852 "Paucek", 8853 "Pfannerstill", 8854 "Pfeffer", 8855 "Pollich", 8856 "Pouros", 8857 "Powlowski", 8858 "Predovic", 8859 "Price", 8860 "Prohaska", 8861 "Prosacco", 8862 "Purdy", 8863 "Quigley", 8864 "Quitzon", 8865 "Rath", 8866 "Ratke", 8867 "Rau", 8868 "Raynor", 8869 "Reichel", 8870 "Reichert", 8871 "Reilly", 8872 "Reinger", 8873 "Rempel", 8874 "Renner", 8875 "Reynolds", 8876 "Rice", 8877 "Rippin", 8878 "Ritchie", 8879 "Robel", 8880 "Roberts", 8881 "Rodriguez", 8882 "Rogahn", 8883 "Rohan", 8884 "Rolfson", 8885 "Romaguera", 8886 "Roob", 8887 "Rosenbaum", 8888 "Rowe", 8889 "Ruecker", 8890 "Runolfsdottir", 8891 "Runolfsson", 8892 "Runte", 8893 "Russel", 8894 "Rutherford", 8895 "Ryan", 8896 "Sanford", 8897 "Satterfield", 8898 "Sauer", 8899 "Sawayn", 8900 "Schaden", 8901 "Schaefer", 8902 "Schamberger", 8903 "Schiller", 8904 "Schimmel", 8905 "Schinner", 8906 "Schmeler", 8907 "Schmidt", 8908 "Schmitt", 8909 "Schneider", 8910 "Schoen", 8911 "Schowalter", 8912 "Schroeder", 8913 "Schulist", 8914 "Schultz", 8915 "Schumm", 8916 "Schuppe", 8917 "Schuster", 8918 "Senger", 8919 "Shanahan", 8920 "Shields", 8921 "Simonis", 8922 "Sipes", 8923 "Skiles", 8924 "Smith", 8925 "Smitham", 8926 "Spencer", 8927 "Spinka", 8928 "Sporer", 8929 "Stamm", 8930 "Stanton", 8931 "Stark", 8932 "Stehr", 8933 "Steuber", 8934 "Stiedemann", 8935 "Stokes", 8936 "Stoltenberg", 8937 "Stracke", 8938 "Streich", 8939 "Stroman", 8940 "Strosin", 8941 "Swaniawski", 8942 "Swift", 8943 "Terry", 8944 "Thiel", 8945 "Thompson", 8946 "Tillman", 8947 "Torp", 8948 "Torphy", 8949 "Towne", 8950 "Toy", 8951 "Trantow", 8952 "Tremblay", 8953 "Treutel", 8954 "Tromp", 8955 "Turcotte", 8956 "Turner", 8957 "Ullrich", 8958 "Upton", 8959 "Vandervort", 8960 "Veum", 8961 "Volkman", 8962 "Von", 8963 "VonRueden", 8964 "Waelchi", 8965 "Walker", 8966 "Walsh", 8967 "Walter", 8968 "Ward", 8969 "Waters", 8970 "Watsica", 8971 "Weber", 8972 "Wehner", 8973 "Weimann", 8974 "Weissnat", 8975 "Welch", 8976 "West", 8977 "White", 8978 "Wiegand", 8979 "Wilderman", 8980 "Wilkinson", 8981 "Will", 8982 "Williamson", 8983 "Willms", 8984 "Windler", 8985 "Wintheiser", 8986 "Wisoky", 8987 "Wisozk", 8988 "Witting", 8989 "Wiza", 8990 "Wolf", 8991 "Wolff", 8992 "Wuckert", 8993 "Wunsch", 8994 "Wyman", 8995 "Yost", 8996 "Yundt", 8997 "Zboncak", 8998 "Zemlak", 8999 "Ziemann", 9000 "Zieme", 9001 "Zulauf" 9002 ]; 9003 return choice(data, this.rnd); 9004 } 9005 9006 /// 9007 string nameFirstName() { 9008 auto data = [ 9009 "Aaliyah", 9010 "Aaron", 9011 "Abagail", 9012 "Abbey", 9013 "Abbie", 9014 "Abbigail", 9015 "Abby", 9016 "Abdiel", 9017 "Abdul", 9018 "Abdullah", 9019 "Abe", 9020 "Abel", 9021 "Abelardo", 9022 "Abigail", 9023 "Abigale", 9024 "Abigayle", 9025 "Abner", 9026 "Abraham", 9027 "Ada", 9028 "Adah", 9029 "Adalberto", 9030 "Adaline", 9031 "Adam", 9032 "Adan", 9033 "Addie", 9034 "Addison", 9035 "Adela", 9036 "Adelbert", 9037 "Adele", 9038 "Adelia", 9039 "Adeline", 9040 "Adell", 9041 "Adella", 9042 "Adelle", 9043 "Aditya", 9044 "Adolf", 9045 "Adolfo", 9046 "Adolph", 9047 "Adolphus", 9048 "Adonis", 9049 "Adrain", 9050 "Adrian", 9051 "Adriana", 9052 "Adrianna", 9053 "Adriel", 9054 "Adrien", 9055 "Adrienne", 9056 "Afton", 9057 "Aglae", 9058 "Agnes", 9059 "Agustin", 9060 "Agustina", 9061 "Ahmad", 9062 "Ahmed", 9063 "Aida", 9064 "Aidan", 9065 "Aiden", 9066 "Aileen", 9067 "Aimee", 9068 "Aisha", 9069 "Aiyana", 9070 "Akeem", 9071 "Al", 9072 "Alaina", 9073 "Alan", 9074 "Alana", 9075 "Alanis", 9076 "Alanna", 9077 "Alayna", 9078 "Alba", 9079 "Albert", 9080 "Alberta", 9081 "Albertha", 9082 "Alberto", 9083 "Albin", 9084 "Albina", 9085 "Alda", 9086 "Alden", 9087 "Alec", 9088 "Aleen", 9089 "Alejandra", 9090 "Alejandrin", 9091 "Alek", 9092 "Alena", 9093 "Alene", 9094 "Alessandra", 9095 "Alessandro", 9096 "Alessia", 9097 "Aletha", 9098 "Alex", 9099 "Alexa", 9100 "Alexander", 9101 "Alexandra", 9102 "Alexandre", 9103 "Alexandrea", 9104 "Alexandria", 9105 "Alexandrine", 9106 "Alexandro", 9107 "Alexane", 9108 "Alexanne", 9109 "Alexie", 9110 "Alexis", 9111 "Alexys", 9112 "Alexzander", 9113 "Alf", 9114 "Alfonso", 9115 "Alfonzo", 9116 "Alford", 9117 "Alfred", 9118 "Alfreda", 9119 "Alfredo", 9120 "Ali", 9121 "Alia", 9122 "Alice", 9123 "Alicia", 9124 "Alisa", 9125 "Alisha", 9126 "Alison", 9127 "Alivia", 9128 "Aliya", 9129 "Aliyah", 9130 "Aliza", 9131 "Alize", 9132 "Allan", 9133 "Allen", 9134 "Allene", 9135 "Allie", 9136 "Allison", 9137 "Ally", 9138 "Alphonso", 9139 "Alta", 9140 "Althea", 9141 "Alva", 9142 "Alvah", 9143 "Alvena", 9144 "Alvera", 9145 "Alverta", 9146 "Alvina", 9147 "Alvis", 9148 "Alyce", 9149 "Alycia", 9150 "Alysa", 9151 "Alysha", 9152 "Alyson", 9153 "Alysson", 9154 "Amalia", 9155 "Amanda", 9156 "Amani", 9157 "Amara", 9158 "Amari", 9159 "Amaya", 9160 "Amber", 9161 "Ambrose", 9162 "Amelia", 9163 "Amelie", 9164 "Amely", 9165 "America", 9166 "Americo", 9167 "Amie", 9168 "Amina", 9169 "Amir", 9170 "Amira", 9171 "Amiya", 9172 "Amos", 9173 "Amparo", 9174 "Amy", 9175 "Amya", 9176 "Ana", 9177 "Anabel", 9178 "Anabelle", 9179 "Anahi", 9180 "Anais", 9181 "Anastacio", 9182 "Anastasia", 9183 "Anderson", 9184 "Andre", 9185 "Andreane", 9186 "Andreanne", 9187 "Andres", 9188 "Andrew", 9189 "Andy", 9190 "Angel", 9191 "Angela", 9192 "Angelica", 9193 "Angelina", 9194 "Angeline", 9195 "Angelita", 9196 "Angelo", 9197 "Angie", 9198 "Angus", 9199 "Anibal", 9200 "Anika", 9201 "Anissa", 9202 "Anita", 9203 "Aniya", 9204 "Aniyah", 9205 "Anjali", 9206 "Anna", 9207 "Annabel", 9208 "Annabell", 9209 "Annabelle", 9210 "Annalise", 9211 "Annamae", 9212 "Annamarie", 9213 "Anne", 9214 "Annetta", 9215 "Annette", 9216 "Annie", 9217 "Ansel", 9218 "Ansley", 9219 "Anthony", 9220 "Antoinette", 9221 "Antone", 9222 "Antonetta", 9223 "Antonette", 9224 "Antonia", 9225 "Antonietta", 9226 "Antonina", 9227 "Antonio", 9228 "Antwan", 9229 "Antwon", 9230 "Anya", 9231 "April", 9232 "Ara", 9233 "Araceli", 9234 "Aracely", 9235 "Arch", 9236 "Archibald", 9237 "Ardella", 9238 "Arden", 9239 "Ardith", 9240 "Arely", 9241 "Ari", 9242 "Ariane", 9243 "Arianna", 9244 "Aric", 9245 "Ariel", 9246 "Arielle", 9247 "Arjun", 9248 "Arlene", 9249 "Arlie", 9250 "Arlo", 9251 "Armand", 9252 "Armando", 9253 "Armani", 9254 "Arnaldo", 9255 "Arne", 9256 "Arno", 9257 "Arnold", 9258 "Arnoldo", 9259 "Arnulfo", 9260 "Aron", 9261 "Art", 9262 "Arthur", 9263 "Arturo", 9264 "Arvel", 9265 "Arvid", 9266 "Arvilla", 9267 "Aryanna", 9268 "Asa", 9269 "Asha", 9270 "Ashlee", 9271 "Ashleigh", 9272 "Ashley", 9273 "Ashly", 9274 "Ashlynn", 9275 "Ashton", 9276 "Ashtyn", 9277 "Asia", 9278 "Assunta", 9279 "Astrid", 9280 "Athena", 9281 "Aubree", 9282 "Aubrey", 9283 "Audie", 9284 "Audra", 9285 "Audreanne", 9286 "Audrey", 9287 "August", 9288 "Augusta", 9289 "Augustine", 9290 "Augustus", 9291 "Aurelia", 9292 "Aurelie", 9293 "Aurelio", 9294 "Aurore", 9295 "Austen", 9296 "Austin", 9297 "Austyn", 9298 "Autumn", 9299 "Ava", 9300 "Avery", 9301 "Avis", 9302 "Axel", 9303 "Ayana", 9304 "Ayden", 9305 "Ayla", 9306 "Aylin", 9307 "Baby", 9308 "Bailee", 9309 "Bailey", 9310 "Barbara", 9311 "Barney", 9312 "Baron", 9313 "Barrett", 9314 "Barry", 9315 "Bart", 9316 "Bartholome", 9317 "Barton", 9318 "Baylee", 9319 "Beatrice", 9320 "Beau", 9321 "Beaulah", 9322 "Bell", 9323 "Bella", 9324 "Belle", 9325 "Ben", 9326 "Benedict", 9327 "Benjamin", 9328 "Bennett", 9329 "Bennie", 9330 "Benny", 9331 "Benton", 9332 "Berenice", 9333 "Bernadette", 9334 "Bernadine", 9335 "Bernard", 9336 "Bernardo", 9337 "Berneice", 9338 "Bernhard", 9339 "Bernice", 9340 "Bernie", 9341 "Berniece", 9342 "Bernita", 9343 "Berry", 9344 "Bert", 9345 "Berta", 9346 "Bertha", 9347 "Bertram", 9348 "Bertrand", 9349 "Beryl", 9350 "Bessie", 9351 "Beth", 9352 "Bethany", 9353 "Bethel", 9354 "Betsy", 9355 "Bette", 9356 "Bettie", 9357 "Betty", 9358 "Bettye", 9359 "Beulah", 9360 "Beverly", 9361 "Bianka", 9362 "Bill", 9363 "Billie", 9364 "Billy", 9365 "Birdie", 9366 "Blair", 9367 "Blaise", 9368 "Blake", 9369 "Blanca", 9370 "Blanche", 9371 "Blaze", 9372 "Bo", 9373 "Bobbie", 9374 "Bobby", 9375 "Bonita", 9376 "Bonnie", 9377 "Boris", 9378 "Boyd", 9379 "Brad", 9380 "Braden", 9381 "Bradford", 9382 "Bradley", 9383 "Bradly", 9384 "Brady", 9385 "Braeden", 9386 "Brain", 9387 "Brandi", 9388 "Brando", 9389 "Brandon", 9390 "Brandt", 9391 "Brandy", 9392 "Brandyn", 9393 "Brannon", 9394 "Branson", 9395 "Brant", 9396 "Braulio", 9397 "Braxton", 9398 "Brayan", 9399 "Breana", 9400 "Breanna", 9401 "Breanne", 9402 "Brenda", 9403 "Brendan", 9404 "Brenden", 9405 "Brendon", 9406 "Brenna", 9407 "Brennan", 9408 "Brennon", 9409 "Brent", 9410 "Bret", 9411 "Brett", 9412 "Bria", 9413 "Brian", 9414 "Briana", 9415 "Brianne", 9416 "Brice", 9417 "Bridget", 9418 "Bridgette", 9419 "Bridie", 9420 "Brielle", 9421 "Brigitte", 9422 "Brionna", 9423 "Brisa", 9424 "Britney", 9425 "Brittany", 9426 "Brock", 9427 "Broderick", 9428 "Brody", 9429 "Brook", 9430 "Brooke", 9431 "Brooklyn", 9432 "Brooks", 9433 "Brown", 9434 "Bruce", 9435 "Bryana", 9436 "Bryce", 9437 "Brycen", 9438 "Bryon", 9439 "Buck", 9440 "Bud", 9441 "Buddy", 9442 "Buford", 9443 "Bulah", 9444 "Burdette", 9445 "Burley", 9446 "Burnice", 9447 "Buster", 9448 "Cade", 9449 "Caden", 9450 "Caesar", 9451 "Caitlyn", 9452 "Cale", 9453 "Caleb", 9454 "Caleigh", 9455 "Cali", 9456 "Calista", 9457 "Callie", 9458 "Camden", 9459 "Cameron", 9460 "Camila", 9461 "Camilla", 9462 "Camille", 9463 "Camren", 9464 "Camron", 9465 "Camryn", 9466 "Camylle", 9467 "Candace", 9468 "Candelario", 9469 "Candice", 9470 "Candida", 9471 "Candido", 9472 "Cara", 9473 "Carey", 9474 "Carissa", 9475 "Carlee", 9476 "Carleton", 9477 "Carley", 9478 "Carli", 9479 "Carlie", 9480 "Carlo", 9481 "Carlos", 9482 "Carlotta", 9483 "Carmel", 9484 "Carmela", 9485 "Carmella", 9486 "Carmelo", 9487 "Carmen", 9488 "Carmine", 9489 "Carol", 9490 "Carolanne", 9491 "Carole", 9492 "Carolina", 9493 "Caroline", 9494 "Carolyn", 9495 "Carolyne", 9496 "Carrie", 9497 "Carroll", 9498 "Carson", 9499 "Carter", 9500 "Cary", 9501 "Casandra", 9502 "Casey", 9503 "Casimer", 9504 "Casimir", 9505 "Casper", 9506 "Cassandra", 9507 "Cassandre", 9508 "Cassidy", 9509 "Cassie", 9510 "Catalina", 9511 "Caterina", 9512 "Catharine", 9513 "Catherine", 9514 "Cathrine", 9515 "Cathryn", 9516 "Cathy", 9517 "Cayla", 9518 "Ceasar", 9519 "Cecelia", 9520 "Cecil", 9521 "Cecile", 9522 "Cecilia", 9523 "Cedrick", 9524 "Celestine", 9525 "Celestino", 9526 "Celia", 9527 "Celine", 9528 "Cesar", 9529 "Chad", 9530 "Chadd", 9531 "Chadrick", 9532 "Chaim", 9533 "Chance", 9534 "Chandler", 9535 "Chanel", 9536 "Chanelle", 9537 "Charity", 9538 "Charlene", 9539 "Charles", 9540 "Charley", 9541 "Charlie", 9542 "Charlotte", 9543 "Chase", 9544 "Chasity", 9545 "Chauncey", 9546 "Chaya", 9547 "Chaz", 9548 "Chelsea", 9549 "Chelsey", 9550 "Chelsie", 9551 "Chesley", 9552 "Chester", 9553 "Chet", 9554 "Cheyanne", 9555 "Cheyenne", 9556 "Chloe", 9557 "Chris", 9558 "Christ", 9559 "Christa", 9560 "Christelle", 9561 "Christian", 9562 "Christiana", 9563 "Christina", 9564 "Christine", 9565 "Christop", 9566 "Christophe", 9567 "Christopher", 9568 "Christy", 9569 "Chyna", 9570 "Ciara", 9571 "Cicero", 9572 "Cielo", 9573 "Cierra", 9574 "Cindy", 9575 "Citlalli", 9576 "Clair", 9577 "Claire", 9578 "Clara", 9579 "Clarabelle", 9580 "Clare", 9581 "Clarissa", 9582 "Clark", 9583 "Claud", 9584 "Claude", 9585 "Claudia", 9586 "Claudie", 9587 "Claudine", 9588 "Clay", 9589 "Clemens", 9590 "Clement", 9591 "Clementina", 9592 "Clementine", 9593 "Clemmie", 9594 "Cleo", 9595 "Cleora", 9596 "Cleta", 9597 "Cletus", 9598 "Cleve", 9599 "Cleveland", 9600 "Clifford", 9601 "Clifton", 9602 "Clint", 9603 "Clinton", 9604 "Clotilde", 9605 "Clovis", 9606 "Cloyd", 9607 "Clyde", 9608 "Coby", 9609 "Cody", 9610 "Colby", 9611 "Cole", 9612 "Coleman", 9613 "Colin", 9614 "Colleen", 9615 "Collin", 9616 "Colt", 9617 "Colten", 9618 "Colton", 9619 "Columbus", 9620 "Concepcion", 9621 "Conner", 9622 "Connie", 9623 "Connor", 9624 "Conor", 9625 "Conrad", 9626 "Constance", 9627 "Constantin", 9628 "Consuelo", 9629 "Cooper", 9630 "Cora", 9631 "Coralie", 9632 "Corbin", 9633 "Cordelia", 9634 "Cordell", 9635 "Cordia", 9636 "Cordie", 9637 "Corene", 9638 "Corine", 9639 "Cornelius", 9640 "Cornell", 9641 "Corrine", 9642 "Cortez", 9643 "Cortney", 9644 "Cory", 9645 "Coty", 9646 "Courtney", 9647 "Coy", 9648 "Craig", 9649 "Crawford", 9650 "Creola", 9651 "Cristal", 9652 "Cristian", 9653 "Cristina", 9654 "Cristobal", 9655 "Cristopher", 9656 "Cruz", 9657 "Crystal", 9658 "Crystel", 9659 "Cullen", 9660 "Curt", 9661 "Curtis", 9662 "Cydney", 9663 "Cynthia", 9664 "Cyril", 9665 "Cyrus", 9666 "Dagmar", 9667 "Dahlia", 9668 "Daija", 9669 "Daisha", 9670 "Daisy", 9671 "Dakota", 9672 "Dale", 9673 "Dallas", 9674 "Dallin", 9675 "Dalton", 9676 "Damaris", 9677 "Dameon", 9678 "Damian", 9679 "Damien", 9680 "Damion", 9681 "Damon", 9682 "Dan", 9683 "Dana", 9684 "Dandre", 9685 "Dane", 9686 "D'angelo", 9687 "Dangelo", 9688 "Danial", 9689 "Daniela", 9690 "Daniella", 9691 "Danielle", 9692 "Danika", 9693 "Dannie", 9694 "Danny", 9695 "Dante", 9696 "Danyka", 9697 "Daphne", 9698 "Daphnee", 9699 "Daphney", 9700 "Darby", 9701 "Daren", 9702 "Darian", 9703 "Dariana", 9704 "Darien", 9705 "Dario", 9706 "Darion", 9707 "Darius", 9708 "Darlene", 9709 "Daron", 9710 "Darrel", 9711 "Darrell", 9712 "Darren", 9713 "Darrick", 9714 "Darrin", 9715 "Darrion", 9716 "Darron", 9717 "Darryl", 9718 "Darwin", 9719 "Daryl", 9720 "Dashawn", 9721 "Dasia", 9722 "Dave", 9723 "David", 9724 "Davin", 9725 "Davion", 9726 "Davon", 9727 "Davonte", 9728 "Dawn", 9729 "Dawson", 9730 "Dax", 9731 "Dayana", 9732 "Dayna", 9733 "Dayne", 9734 "Dayton", 9735 "Dean", 9736 "Deangelo", 9737 "Deanna", 9738 "Deborah", 9739 "Declan", 9740 "Dedric", 9741 "Dedrick", 9742 "Dee", 9743 "Deion", 9744 "Deja", 9745 "Dejah", 9746 "Dejon", 9747 "Dejuan", 9748 "Delaney", 9749 "Delbert", 9750 "Delfina", 9751 "Delia", 9752 "Delilah", 9753 "Dell", 9754 "Della", 9755 "Delmer", 9756 "Delores", 9757 "Delpha", 9758 "Delphia", 9759 "Delphine", 9760 "Delta", 9761 "Demarco", 9762 "Demarcus", 9763 "Demario", 9764 "Demetris", 9765 "Demetrius", 9766 "Demond", 9767 "Dena", 9768 "Denis", 9769 "Dennis", 9770 "Deon", 9771 "Deondre", 9772 "Deontae", 9773 "Deonte", 9774 "Dereck", 9775 "Derek", 9776 "Derick", 9777 "Deron", 9778 "Derrick", 9779 "Deshaun", 9780 "Deshawn", 9781 "Desiree", 9782 "Desmond", 9783 "Dessie", 9784 "Destany", 9785 "Destin", 9786 "Destinee", 9787 "Destiney", 9788 "Destini", 9789 "Destiny", 9790 "Devan", 9791 "Devante", 9792 "Deven", 9793 "Devin", 9794 "Devon", 9795 "Devonte", 9796 "Devyn", 9797 "Dewayne", 9798 "Dewitt", 9799 "Dexter", 9800 "Diamond", 9801 "Diana", 9802 "Dianna", 9803 "Diego", 9804 "Dillan", 9805 "Dillon", 9806 "Dimitri", 9807 "Dina", 9808 "Dino", 9809 "Dion", 9810 "Dixie", 9811 "Dock", 9812 "Dolly", 9813 "Dolores", 9814 "Domenic", 9815 "Domenica", 9816 "Domenick", 9817 "Domenico", 9818 "Domingo", 9819 "Dominic", 9820 "Dominique", 9821 "Don", 9822 "Donald", 9823 "Donato", 9824 "Donavon", 9825 "Donna", 9826 "Donnell", 9827 "Donnie", 9828 "Donny", 9829 "Dora", 9830 "Dorcas", 9831 "Dorian", 9832 "Doris", 9833 "Dorothea", 9834 "Dorothy", 9835 "Dorris", 9836 "Dortha", 9837 "Dorthy", 9838 "Doug", 9839 "Douglas", 9840 "Dovie", 9841 "Doyle", 9842 "Drake", 9843 "Drew", 9844 "Duane", 9845 "Dudley", 9846 "Dulce", 9847 "Duncan", 9848 "Durward", 9849 "Dustin", 9850 "Dusty", 9851 "Dwight", 9852 "Dylan", 9853 "Earl", 9854 "Earlene", 9855 "Earline", 9856 "Earnest", 9857 "Earnestine", 9858 "Easter", 9859 "Easton", 9860 "Ebba", 9861 "Ebony", 9862 "Ed", 9863 "Eda", 9864 "Edd", 9865 "Eddie", 9866 "Eden", 9867 "Edgar", 9868 "Edgardo", 9869 "Edison", 9870 "Edmond", 9871 "Edmund", 9872 "Edna", 9873 "Eduardo", 9874 "Edward", 9875 "Edwardo", 9876 "Edwin", 9877 "Edwina", 9878 "Edyth", 9879 "Edythe", 9880 "Effie", 9881 "Efrain", 9882 "Efren", 9883 "Eileen", 9884 "Einar", 9885 "Eino", 9886 "Eladio", 9887 "Elaina", 9888 "Elbert", 9889 "Elda", 9890 "Eldon", 9891 "Eldora", 9892 "Eldred", 9893 "Eldridge", 9894 "Eleanora", 9895 "Eleanore", 9896 "Eleazar", 9897 "Electa", 9898 "Elena", 9899 "Elenor", 9900 "Elenora", 9901 "Eleonore", 9902 "Elfrieda", 9903 "Eli", 9904 "Elian", 9905 "Eliane", 9906 "Elias", 9907 "Eliezer", 9908 "Elijah", 9909 "Elinor", 9910 "Elinore", 9911 "Elisa", 9912 "Elisabeth", 9913 "Elise", 9914 "Eliseo", 9915 "Elisha", 9916 "Elissa", 9917 "Eliza", 9918 "Elizabeth", 9919 "Ella", 9920 "Ellen", 9921 "Ellie", 9922 "Elliot", 9923 "Elliott", 9924 "Ellis", 9925 "Ellsworth", 9926 "Elmer", 9927 "Elmira", 9928 "Elmo", 9929 "Elmore", 9930 "Elna", 9931 "Elnora", 9932 "Elody", 9933 "Eloisa", 9934 "Eloise", 9935 "Elouise", 9936 "Eloy", 9937 "Elroy", 9938 "Elsa", 9939 "Else", 9940 "Elsie", 9941 "Elta", 9942 "Elton", 9943 "Elva", 9944 "Elvera", 9945 "Elvie", 9946 "Elvis", 9947 "Elwin", 9948 "Elwyn", 9949 "Elyse", 9950 "Elyssa", 9951 "Elza", 9952 "Emanuel", 9953 "Emelia", 9954 "Emelie", 9955 "Emely", 9956 "Emerald", 9957 "Emerson", 9958 "Emery", 9959 "Emie", 9960 "Emil", 9961 "Emile", 9962 "Emilia", 9963 "Emiliano", 9964 "Emilie", 9965 "Emilio", 9966 "Emily", 9967 "Emma", 9968 "Emmalee", 9969 "Emmanuel", 9970 "Emmanuelle", 9971 "Emmet", 9972 "Emmett", 9973 "Emmie", 9974 "Emmitt", 9975 "Emmy", 9976 "Emory", 9977 "Ena", 9978 "Enid", 9979 "Enoch", 9980 "Enola", 9981 "Enos", 9982 "Enrico", 9983 "Enrique", 9984 "Ephraim", 9985 "Era", 9986 "Eriberto", 9987 "Eric", 9988 "Erica", 9989 "Erich", 9990 "Erick", 9991 "Ericka", 9992 "Erik", 9993 "Erika", 9994 "Erin", 9995 "Erling", 9996 "Erna", 9997 "Ernest", 9998 "Ernestina", 9999 "Ernestine", 10000 "Ernesto", 10001 "Ernie", 10002 "Ervin", 10003 "Erwin", 10004 "Eryn", 10005 "Esmeralda", 10006 "Esperanza", 10007 "Esta", 10008 "Esteban", 10009 "Estefania", 10010 "Estel", 10011 "Estell", 10012 "Estella", 10013 "Estelle", 10014 "Estevan", 10015 "Esther", 10016 "Estrella", 10017 "Etha", 10018 "Ethan", 10019 "Ethel", 10020 "Ethelyn", 10021 "Ethyl", 10022 "Ettie", 10023 "Eudora", 10024 "Eugene", 10025 "Eugenia", 10026 "Eula", 10027 "Eulah", 10028 "Eulalia", 10029 "Euna", 10030 "Eunice", 10031 "Eusebio", 10032 "Eva", 10033 "Evalyn", 10034 "Evan", 10035 "Evangeline", 10036 "Evans", 10037 "Eve", 10038 "Eveline", 10039 "Evelyn", 10040 "Everardo", 10041 "Everett", 10042 "Everette", 10043 "Evert", 10044 "Evie", 10045 "Ewald", 10046 "Ewell", 10047 "Ezekiel", 10048 "Ezequiel", 10049 "Ezra", 10050 "Fabian", 10051 "Fabiola", 10052 "Fae", 10053 "Fannie", 10054 "Fanny", 10055 "Fatima", 10056 "Faustino", 10057 "Fausto", 10058 "Favian", 10059 "Fay", 10060 "Faye", 10061 "Federico", 10062 "Felicia", 10063 "Felicita", 10064 "Felicity", 10065 "Felipa", 10066 "Felipe", 10067 "Felix", 10068 "Felton", 10069 "Fermin", 10070 "Fern", 10071 "Fernando", 10072 "Ferne", 10073 "Fidel", 10074 "Filiberto", 10075 "Filomena", 10076 "Finn", 10077 "Fiona", 10078 "Flavie", 10079 "Flavio", 10080 "Fleta", 10081 "Fletcher", 10082 "Flo", 10083 "Florence", 10084 "Florencio", 10085 "Florian", 10086 "Florida", 10087 "Florine", 10088 "Flossie", 10089 "Floy", 10090 "Floyd", 10091 "Ford", 10092 "Forest", 10093 "Forrest", 10094 "Foster", 10095 "Frances", 10096 "Francesca", 10097 "Francesco", 10098 "Francis", 10099 "Francisca", 10100 "Francisco", 10101 "Franco", 10102 "Frank", 10103 "Frankie", 10104 "Franz", 10105 "Fred", 10106 "Freda", 10107 "Freddie", 10108 "Freddy", 10109 "Frederic", 10110 "Frederick", 10111 "Frederik", 10112 "Frederique", 10113 "Fredrick", 10114 "Fredy", 10115 "Freeda", 10116 "Freeman", 10117 "Freida", 10118 "Frida", 10119 "Frieda", 10120 "Friedrich", 10121 "Fritz", 10122 "Furman", 10123 "Gabe", 10124 "Gabriel", 10125 "Gabriella", 10126 "Gabrielle", 10127 "Gaetano", 10128 "Gage", 10129 "Gail", 10130 "Gardner", 10131 "Garett", 10132 "Garfield", 10133 "Garland", 10134 "Garnet", 10135 "Garnett", 10136 "Garret", 10137 "Garrett", 10138 "Garrick", 10139 "Garrison", 10140 "Garry", 10141 "Garth", 10142 "Gaston", 10143 "Gavin", 10144 "Gay", 10145 "Gayle", 10146 "Gaylord", 10147 "Gene", 10148 "General", 10149 "Genesis", 10150 "Genevieve", 10151 "Gennaro", 10152 "Genoveva", 10153 "Geo", 10154 "Geoffrey", 10155 "George", 10156 "Georgette", 10157 "Georgiana", 10158 "Georgianna", 10159 "Geovanni", 10160 "Geovanny", 10161 "Geovany", 10162 "Gerald", 10163 "Geraldine", 10164 "Gerard", 10165 "Gerardo", 10166 "Gerda", 10167 "Gerhard", 10168 "Germaine", 10169 "German", 10170 "Gerry", 10171 "Gerson", 10172 "Gertrude", 10173 "Gia", 10174 "Gianni", 10175 "Gideon", 10176 "Gilbert", 10177 "Gilberto", 10178 "Gilda", 10179 "Giles", 10180 "Gillian", 10181 "Gina", 10182 "Gino", 10183 "Giovani", 10184 "Giovanna", 10185 "Giovanni", 10186 "Giovanny", 10187 "Gisselle", 10188 "Giuseppe", 10189 "Gladyce", 10190 "Gladys", 10191 "Glen", 10192 "Glenda", 10193 "Glenna", 10194 "Glennie", 10195 "Gloria", 10196 "Godfrey", 10197 "Golda", 10198 "Golden", 10199 "Gonzalo", 10200 "Gordon", 10201 "Grace", 10202 "Gracie", 10203 "Graciela", 10204 "Grady", 10205 "Graham", 10206 "Grant", 10207 "Granville", 10208 "Grayce", 10209 "Grayson", 10210 "Green", 10211 "Greg", 10212 "Gregg", 10213 "Gregoria", 10214 "Gregorio", 10215 "Gregory", 10216 "Greta", 10217 "Gretchen", 10218 "Greyson", 10219 "Griffin", 10220 "Grover", 10221 "Guadalupe", 10222 "Gudrun", 10223 "Guido", 10224 "Guillermo", 10225 "Guiseppe", 10226 "Gunnar", 10227 "Gunner", 10228 "Gus", 10229 "Gussie", 10230 "Gust", 10231 "Gustave", 10232 "Guy", 10233 "Gwen", 10234 "Gwendolyn", 10235 "Hadley", 10236 "Hailee", 10237 "Hailey", 10238 "Hailie", 10239 "Hal", 10240 "Haleigh", 10241 "Haley", 10242 "Halie", 10243 "Halle", 10244 "Hallie", 10245 "Hank", 10246 "Hanna", 10247 "Hannah", 10248 "Hans", 10249 "Hardy", 10250 "Harley", 10251 "Harmon", 10252 "Harmony", 10253 "Harold", 10254 "Harrison", 10255 "Harry", 10256 "Harvey", 10257 "Haskell", 10258 "Hassan", 10259 "Hassie", 10260 "Hattie", 10261 "Haven", 10262 "Hayden", 10263 "Haylee", 10264 "Hayley", 10265 "Haylie", 10266 "Hazel", 10267 "Hazle", 10268 "Heath", 10269 "Heather", 10270 "Heaven", 10271 "Heber", 10272 "Hector", 10273 "Heidi", 10274 "Helen", 10275 "Helena", 10276 "Helene", 10277 "Helga", 10278 "Hellen", 10279 "Helmer", 10280 "Heloise", 10281 "Henderson", 10282 "Henri", 10283 "Henriette", 10284 "Henry", 10285 "Herbert", 10286 "Herman", 10287 "Hermann", 10288 "Hermina", 10289 "Herminia", 10290 "Herminio", 10291 "Hershel", 10292 "Herta", 10293 "Hertha", 10294 "Hester", 10295 "Hettie", 10296 "Hilario", 10297 "Hilbert", 10298 "Hilda", 10299 "Hildegard", 10300 "Hillard", 10301 "Hillary", 10302 "Hilma", 10303 "Hilton", 10304 "Hipolito", 10305 "Hiram", 10306 "Hobart", 10307 "Holden", 10308 "Hollie", 10309 "Hollis", 10310 "Holly", 10311 "Hope", 10312 "Horace", 10313 "Horacio", 10314 "Hortense", 10315 "Hosea", 10316 "Houston", 10317 "Howard", 10318 "Howell", 10319 "Hoyt", 10320 "Hubert", 10321 "Hudson", 10322 "Hugh", 10323 "Hulda", 10324 "Humberto", 10325 "Hunter", 10326 "Hyman", 10327 "Ian", 10328 "Ibrahim", 10329 "Icie", 10330 "Ida", 10331 "Idell", 10332 "Idella", 10333 "Ignacio", 10334 "Ignatius", 10335 "Ike", 10336 "Ila", 10337 "Ilene", 10338 "Iliana", 10339 "Ima", 10340 "Imani", 10341 "Imelda", 10342 "Immanuel", 10343 "Imogene", 10344 "Ines", 10345 "Irma", 10346 "Irving", 10347 "Irwin", 10348 "Isaac", 10349 "Isabel", 10350 "Isabell", 10351 "Isabella", 10352 "Isabelle", 10353 "Isac", 10354 "Isadore", 10355 "Isai", 10356 "Isaiah", 10357 "Isaias", 10358 "Isidro", 10359 "Ismael", 10360 "Isobel", 10361 "Isom", 10362 "Israel", 10363 "Issac", 10364 "Itzel", 10365 "Iva", 10366 "Ivah", 10367 "Ivory", 10368 "Ivy", 10369 "Izabella", 10370 "Izaiah", 10371 "Jabari", 10372 "Jace", 10373 "Jacey", 10374 "Jacinthe", 10375 "Jacinto", 10376 "Jack", 10377 "Jackeline", 10378 "Jackie", 10379 "Jacklyn", 10380 "Jackson", 10381 "Jacky", 10382 "Jaclyn", 10383 "Jacquelyn", 10384 "Jacques", 10385 "Jacynthe", 10386 "Jada", 10387 "Jade", 10388 "Jaden", 10389 "Jadon", 10390 "Jadyn", 10391 "Jaeden", 10392 "Jaida", 10393 "Jaiden", 10394 "Jailyn", 10395 "Jaime", 10396 "Jairo", 10397 "Jakayla", 10398 "Jake", 10399 "Jakob", 10400 "Jaleel", 10401 "Jalen", 10402 "Jalon", 10403 "Jalyn", 10404 "Jamaal", 10405 "Jamal", 10406 "Jamar", 10407 "Jamarcus", 10408 "Jamel", 10409 "Jameson", 10410 "Jamey", 10411 "Jamie", 10412 "Jamil", 10413 "Jamir", 10414 "Jamison", 10415 "Jammie", 10416 "Jan", 10417 "Jana", 10418 "Janae", 10419 "Jane", 10420 "Janelle", 10421 "Janessa", 10422 "Janet", 10423 "Janice", 10424 "Janick", 10425 "Janie", 10426 "Janis", 10427 "Janiya", 10428 "Jannie", 10429 "Jany", 10430 "Jaquan", 10431 "Jaquelin", 10432 "Jaqueline", 10433 "Jared", 10434 "Jaren", 10435 "Jarod", 10436 "Jaron", 10437 "Jarred", 10438 "Jarrell", 10439 "Jarret", 10440 "Jarrett", 10441 "Jarrod", 10442 "Jarvis", 10443 "Jasen", 10444 "Jasmin", 10445 "Jason", 10446 "Jasper", 10447 "Jaunita", 10448 "Javier", 10449 "Javon", 10450 "Javonte", 10451 "Jay", 10452 "Jayce", 10453 "Jaycee", 10454 "Jayda", 10455 "Jayde", 10456 "Jayden", 10457 "Jaydon", 10458 "Jaylan", 10459 "Jaylen", 10460 "Jaylin", 10461 "Jaylon", 10462 "Jayme", 10463 "Jayne", 10464 "Jayson", 10465 "Jazlyn", 10466 "Jazmin", 10467 "Jazmyn", 10468 "Jazmyne", 10469 "Jean", 10470 "Jeanette", 10471 "Jeanie", 10472 "Jeanne", 10473 "Jed", 10474 "Jedediah", 10475 "Jedidiah", 10476 "Jeff", 10477 "Jefferey", 10478 "Jeffery", 10479 "Jeffrey", 10480 "Jeffry", 10481 "Jena", 10482 "Jenifer", 10483 "Jennie", 10484 "Jennifer", 10485 "Jennings", 10486 "Jennyfer", 10487 "Jensen", 10488 "Jerad", 10489 "Jerald", 10490 "Jeramie", 10491 "Jeramy", 10492 "Jerel", 10493 "Jeremie", 10494 "Jeremy", 10495 "Jermain", 10496 "Jermaine", 10497 "Jermey", 10498 "Jerod", 10499 "Jerome", 10500 "Jeromy", 10501 "Jerrell", 10502 "Jerrod", 10503 "Jerrold", 10504 "Jerry", 10505 "Jess", 10506 "Jesse", 10507 "Jessica", 10508 "Jessie", 10509 "Jessika", 10510 "Jessy", 10511 "Jessyca", 10512 "Jesus", 10513 "Jett", 10514 "Jettie", 10515 "Jevon", 10516 "Jewel", 10517 "Jewell", 10518 "Jillian", 10519 "Jimmie", 10520 "Jimmy", 10521 "Jo", 10522 "Joan", 10523 "Joana", 10524 "Joanie", 10525 "Joanne", 10526 "Joannie", 10527 "Joanny", 10528 "Joany", 10529 "Joaquin", 10530 "Jocelyn", 10531 "Jodie", 10532 "Jody", 10533 "Joe", 10534 "Joel", 10535 "Joelle", 10536 "Joesph", 10537 "Joey", 10538 "Johan", 10539 "Johann", 10540 "Johanna", 10541 "Johathan", 10542 "John", 10543 "Johnathan", 10544 "Johnathon", 10545 "Johnnie", 10546 "Johnny", 10547 "Johnpaul", 10548 "Johnson", 10549 "Jolie", 10550 "Jon", 10551 "Jonas", 10552 "Jonatan", 10553 "Jonathan", 10554 "Jonathon", 10555 "Jordan", 10556 "Jordane", 10557 "Jordi", 10558 "Jordon", 10559 "Jordy", 10560 "Jordyn", 10561 "Jorge", 10562 "Jose", 10563 "Josefa", 10564 "Josefina", 10565 "Joseph", 10566 "Josephine", 10567 "Josh", 10568 "Joshua", 10569 "Joshuah", 10570 "Josiah", 10571 "Josiane", 10572 "Josianne", 10573 "Josie", 10574 "Josue", 10575 "Jovan", 10576 "Jovani", 10577 "Jovanny", 10578 "Jovany", 10579 "Joy", 10580 "Joyce", 10581 "Juana", 10582 "Juanita", 10583 "Judah", 10584 "Judd", 10585 "Jude", 10586 "Judge", 10587 "Judson", 10588 "Judy", 10589 "Jules", 10590 "Julia", 10591 "Julian", 10592 "Juliana", 10593 "Julianne", 10594 "Julie", 10595 "Julien", 10596 "Juliet", 10597 "Julio", 10598 "Julius", 10599 "June", 10600 "Junior", 10601 "Junius", 10602 "Justen", 10603 "Justice", 10604 "Justina", 10605 "Justine", 10606 "Juston", 10607 "Justus", 10608 "Justyn", 10609 "Juvenal", 10610 "Juwan", 10611 "Kacey", 10612 "Kaci", 10613 "Kacie", 10614 "Kade", 10615 "Kaden", 10616 "Kadin", 10617 "Kaela", 10618 "Kaelyn", 10619 "Kaia", 10620 "Kailee", 10621 "Kailey", 10622 "Kailyn", 10623 "Kaitlin", 10624 "Kaitlyn", 10625 "Kale", 10626 "Kaleb", 10627 "Kaleigh", 10628 "Kaley", 10629 "Kali", 10630 "Kallie", 10631 "Kameron", 10632 "Kamille", 10633 "Kamren", 10634 "Kamron", 10635 "Kamryn", 10636 "Kane", 10637 "Kara", 10638 "Kareem", 10639 "Karelle", 10640 "Karen", 10641 "Kari", 10642 "Kariane", 10643 "Karianne", 10644 "Karina", 10645 "Karine", 10646 "Karl", 10647 "Karlee", 10648 "Karley", 10649 "Karli", 10650 "Karlie", 10651 "Karolann", 10652 "Karson", 10653 "Kasandra", 10654 "Kasey", 10655 "Kassandra", 10656 "Katarina", 10657 "Katelin", 10658 "Katelyn", 10659 "Katelynn", 10660 "Katharina", 10661 "Katherine", 10662 "Katheryn", 10663 "Kathleen", 10664 "Kathlyn", 10665 "Kathryn", 10666 "Kathryne", 10667 "Katlyn", 10668 "Katlynn", 10669 "Katrina", 10670 "Katrine", 10671 "Kattie", 10672 "Kavon", 10673 "Kay", 10674 "Kaya", 10675 "Kaycee", 10676 "Kayden", 10677 "Kayla", 10678 "Kaylah", 10679 "Kaylee", 10680 "Kayleigh", 10681 "Kayley", 10682 "Kayli", 10683 "Kaylie", 10684 "Kaylin", 10685 "Keagan", 10686 "Keanu", 10687 "Keara", 10688 "Keaton", 10689 "Keegan", 10690 "Keeley", 10691 "Keely", 10692 "Keenan", 10693 "Keira", 10694 "Keith", 10695 "Kellen", 10696 "Kelley", 10697 "Kelli", 10698 "Kellie", 10699 "Kelly", 10700 "Kelsi", 10701 "Kelsie", 10702 "Kelton", 10703 "Kelvin", 10704 "Ken", 10705 "Kendall", 10706 "Kendra", 10707 "Kendrick", 10708 "Kenna", 10709 "Kennedi", 10710 "Kennedy", 10711 "Kenneth", 10712 "Kennith", 10713 "Kenny", 10714 "Kenton", 10715 "Kenya", 10716 "Kenyatta", 10717 "Kenyon", 10718 "Keon", 10719 "Keshaun", 10720 "Keshawn", 10721 "Keven", 10722 "Kevin", 10723 "Kevon", 10724 "Keyon", 10725 "Keyshawn", 10726 "Khalid", 10727 "Khalil", 10728 "Kian", 10729 "Kiana", 10730 "Kianna", 10731 "Kiara", 10732 "Kiarra", 10733 "Kiel", 10734 "Kiera", 10735 "Kieran", 10736 "Kiley", 10737 "Kim", 10738 "Kimberly", 10739 "King", 10740 "Kip", 10741 "Kira", 10742 "Kirk", 10743 "Kirsten", 10744 "Kirstin", 10745 "Kitty", 10746 "Kobe", 10747 "Koby", 10748 "Kody", 10749 "Kolby", 10750 "Kole", 10751 "Korbin", 10752 "Korey", 10753 "Kory", 10754 "Kraig", 10755 "Kris", 10756 "Krista", 10757 "Kristian", 10758 "Kristin", 10759 "Kristina", 10760 "Kristofer", 10761 "Kristoffer", 10762 "Kristopher", 10763 "Kristy", 10764 "Krystal", 10765 "Krystel", 10766 "Krystina", 10767 "Kurt", 10768 "Kurtis", 10769 "Kyla", 10770 "Kyle", 10771 "Kylee", 10772 "Kyleigh", 10773 "Kyler", 10774 "Kylie", 10775 "Kyra", 10776 "Lacey", 10777 "Lacy", 10778 "Ladarius", 10779 "Lafayette", 10780 "Laila", 10781 "Laisha", 10782 "Lamar", 10783 "Lambert", 10784 "Lamont", 10785 "Lance", 10786 "Landen", 10787 "Lane", 10788 "Laney", 10789 "Larissa", 10790 "Laron", 10791 "Larry", 10792 "Larue", 10793 "Laura", 10794 "Laurel", 10795 "Lauren", 10796 "Laurence", 10797 "Lauretta", 10798 "Lauriane", 10799 "Laurianne", 10800 "Laurie", 10801 "Laurine", 10802 "Laury", 10803 "Lauryn", 10804 "Lavada", 10805 "Lavern", 10806 "Laverna", 10807 "Laverne", 10808 "Lavina", 10809 "Lavinia", 10810 "Lavon", 10811 "Lavonne", 10812 "Lawrence", 10813 "Lawson", 10814 "Layla", 10815 "Layne", 10816 "Lazaro", 10817 "Lea", 10818 "Leann", 10819 "Leanna", 10820 "Leanne", 10821 "Leatha", 10822 "Leda", 10823 "Lee", 10824 "Leif", 10825 "Leila", 10826 "Leilani", 10827 "Lela", 10828 "Lelah", 10829 "Leland", 10830 "Lelia", 10831 "Lempi", 10832 "Lemuel", 10833 "Lenna", 10834 "Lennie", 10835 "Lenny", 10836 "Lenora", 10837 "Lenore", 10838 "Leo", 10839 "Leola", 10840 "Leon", 10841 "Leonard", 10842 "Leonardo", 10843 "Leone", 10844 "Leonel", 10845 "Leonie", 10846 "Leonor", 10847 "Leonora", 10848 "Leopold", 10849 "Leopoldo", 10850 "Leora", 10851 "Lera", 10852 "Lesley", 10853 "Leslie", 10854 "Lesly", 10855 "Lessie", 10856 "Lester", 10857 "Leta", 10858 "Letha", 10859 "Letitia", 10860 "Levi", 10861 "Lew", 10862 "Lewis", 10863 "Lexi", 10864 "Lexie", 10865 "Lexus", 10866 "Lia", 10867 "Liam", 10868 "Liana", 10869 "Libbie", 10870 "Libby", 10871 "Lila", 10872 "Lilian", 10873 "Liliana", 10874 "Liliane", 10875 "Lilla", 10876 "Lillian", 10877 "Lilliana", 10878 "Lillie", 10879 "Lilly", 10880 "Lily", 10881 "Lilyan", 10882 "Lina", 10883 "Lincoln", 10884 "Linda", 10885 "Lindsay", 10886 "Lindsey", 10887 "Linnea", 10888 "Linnie", 10889 "Linwood", 10890 "Lionel", 10891 "Lisa", 10892 "Lisandro", 10893 "Lisette", 10894 "Litzy", 10895 "Liza", 10896 "Lizeth", 10897 "Lizzie", 10898 "Llewellyn", 10899 "Lloyd", 10900 "Logan", 10901 "Lois", 10902 "Lola", 10903 "Lolita", 10904 "Loma", 10905 "Lon", 10906 "London", 10907 "Lonie", 10908 "Lonnie", 10909 "Lonny", 10910 "Lonzo", 10911 "Lora", 10912 "Loraine", 10913 "Loren", 10914 "Lorena", 10915 "Lorenz", 10916 "Lorenza", 10917 "Lorenzo", 10918 "Lori", 10919 "Lorine", 10920 "Lorna", 10921 "Lottie", 10922 "Lou", 10923 "Louie", 10924 "Louisa", 10925 "Lourdes", 10926 "Louvenia", 10927 "Lowell", 10928 "Loy", 10929 "Loyal", 10930 "Loyce", 10931 "Lucas", 10932 "Luciano", 10933 "Lucie", 10934 "Lucienne", 10935 "Lucile", 10936 "Lucinda", 10937 "Lucio", 10938 "Lucious", 10939 "Lucius", 10940 "Lucy", 10941 "Ludie", 10942 "Ludwig", 10943 "Lue", 10944 "Luella", 10945 "Luigi", 10946 "Luis", 10947 "Luisa", 10948 "Lukas", 10949 "Lula", 10950 "Lulu", 10951 "Luna", 10952 "Lupe", 10953 "Lura", 10954 "Lurline", 10955 "Luther", 10956 "Luz", 10957 "Lyda", 10958 "Lydia", 10959 "Lyla", 10960 "Lynn", 10961 "Lyric", 10962 "Lysanne", 10963 "Mabel", 10964 "Mabelle", 10965 "Mable", 10966 "Mac", 10967 "Macey", 10968 "Maci", 10969 "Macie", 10970 "Mack", 10971 "Mackenzie", 10972 "Macy", 10973 "Madaline", 10974 "Madalyn", 10975 "Maddison", 10976 "Madeline", 10977 "Madelyn", 10978 "Madelynn", 10979 "Madge", 10980 "Madie", 10981 "Madilyn", 10982 "Madisen", 10983 "Madison", 10984 "Madisyn", 10985 "Madonna", 10986 "Madyson", 10987 "Mae", 10988 "Maegan", 10989 "Maeve", 10990 "Mafalda", 10991 "Magali", 10992 "Magdalen", 10993 "Magdalena", 10994 "Maggie", 10995 "Magnolia", 10996 "Magnus", 10997 "Maia", 10998 "Maida", 10999 "Maiya", 11000 "Major", 11001 "Makayla", 11002 "Makenna", 11003 "Makenzie", 11004 "Malachi", 11005 "Malcolm", 11006 "Malika", 11007 "Malinda", 11008 "Mallie", 11009 "Mallory", 11010 "Malvina", 11011 "Mandy", 11012 "Manley", 11013 "Manuel", 11014 "Manuela", 11015 "Mara", 11016 "Marc", 11017 "Marcel", 11018 "Marcelina", 11019 "Marcelino", 11020 "Marcella", 11021 "Marcelle", 11022 "Marcellus", 11023 "Marcelo", 11024 "Marcia", 11025 "Marco", 11026 "Marcos", 11027 "Marcus", 11028 "Margaret", 11029 "Margarete", 11030 "Margarett", 11031 "Margaretta", 11032 "Margarette", 11033 "Margarita", 11034 "Marge", 11035 "Margie", 11036 "Margot", 11037 "Margret", 11038 "Marguerite", 11039 "Maria", 11040 "Mariah", 11041 "Mariam", 11042 "Marian", 11043 "Mariana", 11044 "Mariane", 11045 "Marianna", 11046 "Marianne", 11047 "Mariano", 11048 "Maribel", 11049 "Marie", 11050 "Mariela", 11051 "Marielle", 11052 "Marietta", 11053 "Marilie", 11054 "Marilou", 11055 "Marilyne", 11056 "Marina", 11057 "Mario", 11058 "Marion", 11059 "Marisa", 11060 "Marisol", 11061 "Maritza", 11062 "Marjolaine", 11063 "Marjorie", 11064 "Marjory", 11065 "Mark", 11066 "Markus", 11067 "Marlee", 11068 "Marlen", 11069 "Marlene", 11070 "Marley", 11071 "Marlin", 11072 "Marlon", 11073 "Marques", 11074 "Marquis", 11075 "Marquise", 11076 "Marshall", 11077 "Marta", 11078 "Martin", 11079 "Martina", 11080 "Martine", 11081 "Marty", 11082 "Marvin", 11083 "Mary", 11084 "Maryam", 11085 "Maryjane", 11086 "Maryse", 11087 "Mason", 11088 "Mateo", 11089 "Mathew", 11090 "Mathias", 11091 "Mathilde", 11092 "Matilda", 11093 "Matilde", 11094 "Matt", 11095 "Matteo", 11096 "Mattie", 11097 "Maud", 11098 "Maude", 11099 "Maudie", 11100 "Maureen", 11101 "Maurice", 11102 "Mauricio", 11103 "Maurine", 11104 "Maverick", 11105 "Mavis", 11106 "Max", 11107 "Maxie", 11108 "Maxime", 11109 "Maximilian", 11110 "Maximillia", 11111 "Maximillian", 11112 "Maximo", 11113 "Maximus", 11114 "Maxine", 11115 "Maxwell", 11116 "May", 11117 "Maya", 11118 "Maybell", 11119 "Maybelle", 11120 "Maye", 11121 "Maymie", 11122 "Maynard", 11123 "Mayra", 11124 "Mazie", 11125 "Mckayla", 11126 "Mckenna", 11127 "Mckenzie", 11128 "Meagan", 11129 "Meaghan", 11130 "Meda", 11131 "Megane", 11132 "Meggie", 11133 "Meghan", 11134 "Mekhi", 11135 "Melany", 11136 "Melba", 11137 "Melisa", 11138 "Melissa", 11139 "Mellie", 11140 "Melody", 11141 "Melvin", 11142 "Melvina", 11143 "Melyna", 11144 "Melyssa", 11145 "Mercedes", 11146 "Meredith", 11147 "Merl", 11148 "Merle", 11149 "Merlin", 11150 "Merritt", 11151 "Mertie", 11152 "Mervin", 11153 "Meta", 11154 "Mia", 11155 "Micaela", 11156 "Micah", 11157 "Michael", 11158 "Michaela", 11159 "Michale", 11160 "Micheal", 11161 "Michel", 11162 "Michele", 11163 "Michelle", 11164 "Miguel", 11165 "Mikayla", 11166 "Mike", 11167 "Mikel", 11168 "Milan", 11169 "Miles", 11170 "Milford", 11171 "Miller", 11172 "Millie", 11173 "Milo", 11174 "Milton", 11175 "Mina", 11176 "Minerva", 11177 "Minnie", 11178 "Miracle", 11179 "Mireille", 11180 "Mireya", 11181 "Misael", 11182 "Missouri", 11183 "Misty", 11184 "Mitchel", 11185 "Mitchell", 11186 "Mittie", 11187 "Modesta", 11188 "Modesto", 11189 "Mohamed", 11190 "Mohammad", 11191 "Mohammed", 11192 "Moises", 11193 "Mollie", 11194 "Molly", 11195 "Mona", 11196 "Monica", 11197 "Monique", 11198 "Monroe", 11199 "Monserrat", 11200 "Monserrate", 11201 "Montana", 11202 "Monte", 11203 "Monty", 11204 "Morgan", 11205 "Moriah", 11206 "Morris", 11207 "Mortimer", 11208 "Morton", 11209 "Mose", 11210 "Moses", 11211 "Moshe", 11212 "Mossie", 11213 "Mozell", 11214 "Mozelle", 11215 "Muhammad", 11216 "Muriel", 11217 "Murl", 11218 "Murphy", 11219 "Murray", 11220 "Mustafa", 11221 "Mya", 11222 "Myah", 11223 "Mylene", 11224 "Myles", 11225 "Myra", 11226 "Myriam", 11227 "Myrl", 11228 "Myrna", 11229 "Myron", 11230 "Myrtice", 11231 "Myrtie", 11232 "Myrtis", 11233 "Myrtle", 11234 "Nadia", 11235 "Nakia", 11236 "Name", 11237 "Nannie", 11238 "Naomi", 11239 "Naomie", 11240 "Napoleon", 11241 "Narciso", 11242 "Nash", 11243 "Nasir", 11244 "Nat", 11245 "Natalia", 11246 "Natalie", 11247 "Natasha", 11248 "Nathan", 11249 "Nathanael", 11250 "Nathanial", 11251 "Nathaniel", 11252 "Nathen", 11253 "Nayeli", 11254 "Neal", 11255 "Ned", 11256 "Nedra", 11257 "Neha", 11258 "Neil", 11259 "Nelda", 11260 "Nella", 11261 "Nelle", 11262 "Nellie", 11263 "Nels", 11264 "Nelson", 11265 "Neoma", 11266 "Nestor", 11267 "Nettie", 11268 "Neva", 11269 "Newell", 11270 "Newton", 11271 "Nia", 11272 "Nicholas", 11273 "Nicholaus", 11274 "Nichole", 11275 "Nick", 11276 "Nicklaus", 11277 "Nickolas", 11278 "Nico", 11279 "Nicola", 11280 "Nicolas", 11281 "Nicole", 11282 "Nicolette", 11283 "Nigel", 11284 "Nikita", 11285 "Nikki", 11286 "Nikko", 11287 "Niko", 11288 "Nikolas", 11289 "Nils", 11290 "Nina", 11291 "Noah", 11292 "Noble", 11293 "Noe", 11294 "Noel", 11295 "Noelia", 11296 "Noemi", 11297 "Noemie", 11298 "Noemy", 11299 "Nola", 11300 "Nolan", 11301 "Nona", 11302 "Nora", 11303 "Norbert", 11304 "Norberto", 11305 "Norene", 11306 "Norma", 11307 "Norris", 11308 "Norval", 11309 "Norwood", 11310 "Nova", 11311 "Novella", 11312 "Nya", 11313 "Nyah", 11314 "Nyasia", 11315 "Obie", 11316 "Oceane", 11317 "Ocie", 11318 "Octavia", 11319 "Oda", 11320 "Odell", 11321 "Odessa", 11322 "Odie", 11323 "Ofelia", 11324 "Okey", 11325 "Ola", 11326 "Olaf", 11327 "Ole", 11328 "Olen", 11329 "Oleta", 11330 "Olga", 11331 "Olin", 11332 "Oliver", 11333 "Ollie", 11334 "Oma", 11335 "Omari", 11336 "Omer", 11337 "Ona", 11338 "Onie", 11339 "Opal", 11340 "Ophelia", 11341 "Ora", 11342 "Oral", 11343 "Oran", 11344 "Oren", 11345 "Orie", 11346 "Orin", 11347 "Orion", 11348 "Orland", 11349 "Orlando", 11350 "Orlo", 11351 "Orpha", 11352 "Orrin", 11353 "Orval", 11354 "Orville", 11355 "Osbaldo", 11356 "Osborne", 11357 "Oscar", 11358 "Osvaldo", 11359 "Oswald", 11360 "Oswaldo", 11361 "Otha", 11362 "Otho", 11363 "Otilia", 11364 "Otis", 11365 "Ottilie", 11366 "Ottis", 11367 "Otto", 11368 "Ova", 11369 "Owen", 11370 "Ozella", 11371 "Pablo", 11372 "Paige", 11373 "Palma", 11374 "Pamela", 11375 "Pansy", 11376 "Paolo", 11377 "Paris", 11378 "Parker", 11379 "Pascale", 11380 "Pasquale", 11381 "Pat", 11382 "Patience", 11383 "Patricia", 11384 "Patrick", 11385 "Patsy", 11386 "Pattie", 11387 "Paul", 11388 "Paula", 11389 "Pauline", 11390 "Paxton", 11391 "Payton", 11392 "Pearl", 11393 "Pearlie", 11394 "Pearline", 11395 "Pedro", 11396 "Peggie", 11397 "Penelope", 11398 "Percival", 11399 "Percy", 11400 "Perry", 11401 "Pete", 11402 "Peter", 11403 "Petra", 11404 "Peyton", 11405 "Philip", 11406 "Phoebe", 11407 "Phyllis", 11408 "Pierce", 11409 "Pierre", 11410 "Pietro", 11411 "Pink", 11412 "Pinkie", 11413 "Piper", 11414 "Polly", 11415 "Porter", 11416 "Precious", 11417 "Presley", 11418 "Preston", 11419 "Price", 11420 "Prince", 11421 "Princess", 11422 "Priscilla", 11423 "Providenci", 11424 "Prudence", 11425 "Queen", 11426 "Queenie", 11427 "Quentin", 11428 "Quincy", 11429 "Quinn", 11430 "Quinten", 11431 "Quinton", 11432 "Rachael", 11433 "Rachel", 11434 "Rachelle", 11435 "Rae", 11436 "Raegan", 11437 "Rafael", 11438 "Rafaela", 11439 "Raheem", 11440 "Rahsaan", 11441 "Rahul", 11442 "Raina", 11443 "Raleigh", 11444 "Ralph", 11445 "Ramiro", 11446 "Ramon", 11447 "Ramona", 11448 "Randal", 11449 "Randall", 11450 "Randi", 11451 "Randy", 11452 "Ransom", 11453 "Raoul", 11454 "Raphael", 11455 "Raphaelle", 11456 "Raquel", 11457 "Rashad", 11458 "Rashawn", 11459 "Rasheed", 11460 "Raul", 11461 "Raven", 11462 "Ray", 11463 "Raymond", 11464 "Raymundo", 11465 "Reagan", 11466 "Reanna", 11467 "Reba", 11468 "Rebeca", 11469 "Rebecca", 11470 "Rebeka", 11471 "Rebekah", 11472 "Reece", 11473 "Reed", 11474 "Reese", 11475 "Regan", 11476 "Reggie", 11477 "Reginald", 11478 "Reid", 11479 "Reilly", 11480 "Reina", 11481 "Reinhold", 11482 "Remington", 11483 "Rene", 11484 "Renee", 11485 "Ressie", 11486 "Reta", 11487 "Retha", 11488 "Retta", 11489 "Reuben", 11490 "Reva", 11491 "Rex", 11492 "Rey", 11493 "Reyes", 11494 "Reymundo", 11495 "Reyna", 11496 "Reynold", 11497 "Rhea", 11498 "Rhett", 11499 "Rhianna", 11500 "Rhiannon", 11501 "Rhoda", 11502 "Ricardo", 11503 "Richard", 11504 "Richie", 11505 "Richmond", 11506 "Rick", 11507 "Rickey", 11508 "Rickie", 11509 "Ricky", 11510 "Rico", 11511 "Rigoberto", 11512 "Riley", 11513 "Rita", 11514 "River", 11515 "Robb", 11516 "Robbie", 11517 "Robert", 11518 "Roberta", 11519 "Roberto", 11520 "Robin", 11521 "Robyn", 11522 "Rocio", 11523 "Rocky", 11524 "Rod", 11525 "Roderick", 11526 "Rodger", 11527 "Rodolfo", 11528 "Rodrick", 11529 "Rodrigo", 11530 "Roel", 11531 "Rogelio", 11532 "Roger", 11533 "Rogers", 11534 "Rolando", 11535 "Rollin", 11536 "Roma", 11537 "Romaine", 11538 "Roman", 11539 "Ron", 11540 "Ronaldo", 11541 "Ronny", 11542 "Roosevelt", 11543 "Rory", 11544 "Rosa", 11545 "Rosalee", 11546 "Rosalia", 11547 "Rosalind", 11548 "Rosalinda", 11549 "Rosalyn", 11550 "Rosamond", 11551 "Rosanna", 11552 "Rosario", 11553 "Roscoe", 11554 "Rose", 11555 "Rosella", 11556 "Roselyn", 11557 "Rosemarie", 11558 "Rosemary", 11559 "Rosendo", 11560 "Rosetta", 11561 "Rosie", 11562 "Rosina", 11563 "Roslyn", 11564 "Ross", 11565 "Rossie", 11566 "Rowan", 11567 "Rowena", 11568 "Rowland", 11569 "Roxane", 11570 "Roxanne", 11571 "Roy", 11572 "Royal", 11573 "Royce", 11574 "Rozella", 11575 "Ruben", 11576 "Rubie", 11577 "Ruby", 11578 "Rubye", 11579 "Rudolph", 11580 "Rudy", 11581 "Rupert", 11582 "Russ", 11583 "Russel", 11584 "Russell", 11585 "Rusty", 11586 "Ruth", 11587 "Ruthe", 11588 "Ruthie", 11589 "Ryan", 11590 "Ryann", 11591 "Ryder", 11592 "Rylan", 11593 "Rylee", 11594 "Ryleigh", 11595 "Ryley", 11596 "Sabina", 11597 "Sabrina", 11598 "Sabryna", 11599 "Sadie", 11600 "Sadye", 11601 "Sage", 11602 "Saige", 11603 "Sallie", 11604 "Sally", 11605 "Salma", 11606 "Salvador", 11607 "Salvatore", 11608 "Sam", 11609 "Samanta", 11610 "Samantha", 11611 "Samara", 11612 "Samir", 11613 "Sammie", 11614 "Sammy", 11615 "Samson", 11616 "Sandra", 11617 "Sandrine", 11618 "Sandy", 11619 "Sanford", 11620 "Santa", 11621 "Santiago", 11622 "Santina", 11623 "Santino", 11624 "Santos", 11625 "Sarah", 11626 "Sarai", 11627 "Sarina", 11628 "Sasha", 11629 "Saul", 11630 "Savanah", 11631 "Savanna", 11632 "Savannah", 11633 "Savion", 11634 "Scarlett", 11635 "Schuyler", 11636 "Scot", 11637 "Scottie", 11638 "Scotty", 11639 "Seamus", 11640 "Sean", 11641 "Sebastian", 11642 "Sedrick", 11643 "Selena", 11644 "Selina", 11645 "Selmer", 11646 "Serena", 11647 "Serenity", 11648 "Seth", 11649 "Shad", 11650 "Shaina", 11651 "Shakira", 11652 "Shana", 11653 "Shane", 11654 "Shanel", 11655 "Shanelle", 11656 "Shania", 11657 "Shanie", 11658 "Shaniya", 11659 "Shanna", 11660 "Shannon", 11661 "Shanny", 11662 "Shanon", 11663 "Shany", 11664 "Sharon", 11665 "Shaun", 11666 "Shawn", 11667 "Shawna", 11668 "Shaylee", 11669 "Shayna", 11670 "Shayne", 11671 "Shea", 11672 "Sheila", 11673 "Sheldon", 11674 "Shemar", 11675 "Sheridan", 11676 "Sherman", 11677 "Sherwood", 11678 "Shirley", 11679 "Shyann", 11680 "Shyanne", 11681 "Sibyl", 11682 "Sid", 11683 "Sidney", 11684 "Sienna", 11685 "Sierra", 11686 "Sigmund", 11687 "Sigrid", 11688 "Sigurd", 11689 "Silas", 11690 "Sim", 11691 "Simeon", 11692 "Simone", 11693 "Sincere", 11694 "Sister", 11695 "Skye", 11696 "Skyla", 11697 "Skylar", 11698 "Sofia", 11699 "Soledad", 11700 "Solon", 11701 "Sonia", 11702 "Sonny", 11703 "Sonya", 11704 "Sophia", 11705 "Sophie", 11706 "Spencer", 11707 "Stacey", 11708 "Stacy", 11709 "Stan", 11710 "Stanford", 11711 "Stanley", 11712 "Stanton", 11713 "Stefan", 11714 "Stefanie", 11715 "Stella", 11716 "Stephan", 11717 "Stephania", 11718 "Stephanie", 11719 "Stephany", 11720 "Stephen", 11721 "Stephon", 11722 "Sterling", 11723 "Steve", 11724 "Stevie", 11725 "Stewart", 11726 "Stone", 11727 "Stuart", 11728 "Summer", 11729 "Sunny", 11730 "Susan", 11731 "Susana", 11732 "Susanna", 11733 "Susie", 11734 "Suzanne", 11735 "Sven", 11736 "Syble", 11737 "Sydnee", 11738 "Sydney", 11739 "Sydni", 11740 "Sydnie", 11741 "Sylvan", 11742 "Sylvester", 11743 "Sylvia", 11744 "Tabitha", 11745 "Tad", 11746 "Talia", 11747 "Talon", 11748 "Tamara", 11749 "Tamia", 11750 "Tania", 11751 "Tanner", 11752 "Tanya", 11753 "Tara", 11754 "Taryn", 11755 "Tate", 11756 "Tatum", 11757 "Tatyana", 11758 "Taurean", 11759 "Tavares", 11760 "Taya", 11761 "Taylor", 11762 "Teagan", 11763 "Ted", 11764 "Telly", 11765 "Terence", 11766 "Teresa", 11767 "Terrance", 11768 "Terrell", 11769 "Terrence", 11770 "Terrill", 11771 "Terry", 11772 "Tess", 11773 "Tessie", 11774 "Tevin", 11775 "Thad", 11776 "Thaddeus", 11777 "Thalia", 11778 "Thea", 11779 "Thelma", 11780 "Theo", 11781 "Theodora", 11782 "Theodore", 11783 "Theresa", 11784 "Therese", 11785 "Theresia", 11786 "Theron", 11787 "Thomas", 11788 "Thora", 11789 "Thurman", 11790 "Tia", 11791 "Tiana", 11792 "Tianna", 11793 "Tiara", 11794 "Tierra", 11795 "Tiffany", 11796 "Tillman", 11797 "Timmothy", 11798 "Timmy", 11799 "Timothy", 11800 "Tina", 11801 "Tito", 11802 "Titus", 11803 "Tobin", 11804 "Toby", 11805 "Tod", 11806 "Tom", 11807 "Tomas", 11808 "Tomasa", 11809 "Tommie", 11810 "Toney", 11811 "Toni", 11812 "Tony", 11813 "Torey", 11814 "Torrance", 11815 "Torrey", 11816 "Toy", 11817 "Trace", 11818 "Tracey", 11819 "Tracy", 11820 "Travis", 11821 "Travon", 11822 "Tre", 11823 "Tremaine", 11824 "Tremayne", 11825 "Trent", 11826 "Trenton", 11827 "Tressa", 11828 "Tressie", 11829 "Treva", 11830 "Trever", 11831 "Trevion", 11832 "Trevor", 11833 "Trey", 11834 "Trinity", 11835 "Trisha", 11836 "Tristian", 11837 "Tristin", 11838 "Triston", 11839 "Troy", 11840 "Trudie", 11841 "Trycia", 11842 "Trystan", 11843 "Turner", 11844 "Twila", 11845 "Tyler", 11846 "Tyra", 11847 "Tyree", 11848 "Tyreek", 11849 "Tyrel", 11850 "Tyrell", 11851 "Tyrese", 11852 "Tyrique", 11853 "Tyshawn", 11854 "Tyson", 11855 "Ubaldo", 11856 "Ulices", 11857 "Ulises", 11858 "Una", 11859 "Unique", 11860 "Urban", 11861 "Uriah", 11862 "Uriel", 11863 "Ursula", 11864 "Vada", 11865 "Valentin", 11866 "Valentina", 11867 "Valentine", 11868 "Valerie", 11869 "Vallie", 11870 "Van", 11871 "Vance", 11872 "Vanessa", 11873 "Vaughn", 11874 "Veda", 11875 "Velda", 11876 "Vella", 11877 "Velma", 11878 "Velva", 11879 "Vena", 11880 "Verda", 11881 "Verdie", 11882 "Vergie", 11883 "Verla", 11884 "Verlie", 11885 "Vern", 11886 "Verna", 11887 "Verner", 11888 "Vernice", 11889 "Vernie", 11890 "Vernon", 11891 "Verona", 11892 "Veronica", 11893 "Vesta", 11894 "Vicenta", 11895 "Vicente", 11896 "Vickie", 11897 "Vicky", 11898 "Victor", 11899 "Victoria", 11900 "Vida", 11901 "Vidal", 11902 "Vilma", 11903 "Vince", 11904 "Vincent", 11905 "Vincenza", 11906 "Vincenzo", 11907 "Vinnie", 11908 "Viola", 11909 "Violet", 11910 "Violette", 11911 "Virgie", 11912 "Virgil", 11913 "Virginia", 11914 "Virginie", 11915 "Vita", 11916 "Vito", 11917 "Viva", 11918 "Vivian", 11919 "Viviane", 11920 "Vivianne", 11921 "Vivien", 11922 "Vivienne", 11923 "Vladimir", 11924 "Wade", 11925 "Waino", 11926 "Waldo", 11927 "Walker", 11928 "Wallace", 11929 "Walter", 11930 "Walton", 11931 "Wanda", 11932 "Ward", 11933 "Warren", 11934 "Watson", 11935 "Wava", 11936 "Waylon", 11937 "Wayne", 11938 "Webster", 11939 "Weldon", 11940 "Wellington", 11941 "Wendell", 11942 "Wendy", 11943 "Werner", 11944 "Westley", 11945 "Weston", 11946 "Whitney", 11947 "Wilber", 11948 "Wilbert", 11949 "Wilburn", 11950 "Wiley", 11951 "Wilford", 11952 "Wilfred", 11953 "Wilfredo", 11954 "Wilfrid", 11955 "Wilhelm", 11956 "Wilhelmine", 11957 "Will", 11958 "Willa", 11959 "Willard", 11960 "William", 11961 "Willie", 11962 "Willis", 11963 "Willow", 11964 "Willy", 11965 "Wilma", 11966 "Wilmer", 11967 "Wilson", 11968 "Wilton", 11969 "Winfield", 11970 "Winifred", 11971 "Winnifred", 11972 "Winona", 11973 "Winston", 11974 "Woodrow", 11975 "Wyatt", 11976 "Wyman", 11977 "Xander", 11978 "Xavier", 11979 "Xzavier", 11980 "Yadira", 11981 "Yasmeen", 11982 "Yasmin", 11983 "Yasmine", 11984 "Yazmin", 11985 "Yesenia", 11986 "Yessenia", 11987 "Yolanda", 11988 "Yoshiko", 11989 "Yvette", 11990 "Yvonne", 11991 "Zachariah", 11992 "Zachary", 11993 "Zachery", 11994 "Zack", 11995 "Zackary", 11996 "Zackery", 11997 "Zakary", 11998 "Zander", 11999 "Zane", 12000 "Zaria", 12001 "Zechariah", 12002 "Zelda", 12003 "Zella", 12004 "Zelma", 12005 "Zena", 12006 "Zetta", 12007 "Zion", 12008 "Zita", 12009 "Zoe", 12010 "Zoey", 12011 "Zoie", 12012 "Zoila", 12013 "Zola", 12014 "Zora", 12015 "Zula" 12016 ]; 12017 return choice(data, this.rnd); 12018 } 12019 12020 12021 string nameName() { 12022 final switch(uniform(0, 6, this.rnd)) { 12023 case 0: return namePrefix() ~ " " ~ nameFirstName() ~ " " ~ nameLastName(); 12024 case 1: return nameFirstName() ~ " " ~ nameLastName() ~ " " ~ nameSuffix(); 12025 case 2: return nameFirstName() ~ " " ~ nameLastName(); 12026 case 3: return nameFirstName() ~ " " ~ nameLastName(); 12027 case 4: return nameMaleFirstName() ~ " " ~ nameLastName(); 12028 case 5: return nameFemaleFirstName() ~ " " ~ nameLastName(); 12029 } 12030 } 12031 12032 /// 12033 string nameFemaleFirstName() { 12034 auto data = [ 12035 "Mary", 12036 "Patricia", 12037 "Linda", 12038 "Barbara", 12039 "Elizabeth", 12040 "Jennifer", 12041 "Maria", 12042 "Susan", 12043 "Margaret", 12044 "Dorothy", 12045 "Lisa", 12046 "Nancy", 12047 "Karen", 12048 "Betty", 12049 "Helen", 12050 "Sandra", 12051 "Donna", 12052 "Carol", 12053 "Ruth", 12054 "Sharon", 12055 "Michelle", 12056 "Laura", 12057 "Sarah", 12058 "Kimberly", 12059 "Deborah", 12060 "Jessica", 12061 "Shirley", 12062 "Cynthia", 12063 "Angela", 12064 "Melissa", 12065 "Brenda", 12066 "Amy", 12067 "Anna", 12068 "Rebecca", 12069 "Virginia", 12070 "Kathleen", 12071 "Pamela", 12072 "Martha", 12073 "Debra", 12074 "Amanda", 12075 "Stephanie", 12076 "Carolyn", 12077 "Christine", 12078 "Marie", 12079 "Janet", 12080 "Catherine", 12081 "Frances", 12082 "Ann", 12083 "Joyce", 12084 "Diane", 12085 "Alice", 12086 "Julie", 12087 "Heather", 12088 "Teresa", 12089 "Doris", 12090 "Gloria", 12091 "Evelyn", 12092 "Jean", 12093 "Cheryl", 12094 "Mildred", 12095 "Katherine", 12096 "Joan", 12097 "Ashley", 12098 "Judith", 12099 "Rose", 12100 "Janice", 12101 "Kelly", 12102 "Nicole", 12103 "Judy", 12104 "Christina", 12105 "Kathy", 12106 "Theresa", 12107 "Beverly", 12108 "Denise", 12109 "Tammy", 12110 "Irene", 12111 "Jane", 12112 "Lori", 12113 "Rachel", 12114 "Marilyn", 12115 "Andrea", 12116 "Kathryn", 12117 "Louise", 12118 "Sara", 12119 "Anne", 12120 "Jacqueline", 12121 "Wanda", 12122 "Bonnie", 12123 "Julia", 12124 "Ruby", 12125 "Lois", 12126 "Tina", 12127 "Phyllis", 12128 "Norma", 12129 "Paula", 12130 "Diana", 12131 "Annie", 12132 "Lillian", 12133 "Emily", 12134 "Robin", 12135 "Peggy", 12136 "Crystal", 12137 "Gladys", 12138 "Rita", 12139 "Dawn", 12140 "Connie", 12141 "Florence", 12142 "Tracy", 12143 "Edna", 12144 "Tiffany", 12145 "Carmen", 12146 "Rosa", 12147 "Cindy", 12148 "Grace", 12149 "Wendy", 12150 "Victoria", 12151 "Edith", 12152 "Kim", 12153 "Sherry", 12154 "Sylvia", 12155 "Josephine", 12156 "Thelma", 12157 "Shannon", 12158 "Sheila", 12159 "Ethel", 12160 "Ellen", 12161 "Elaine", 12162 "Marjorie", 12163 "Carrie", 12164 "Charlotte", 12165 "Monica", 12166 "Esther", 12167 "Pauline", 12168 "Emma", 12169 "Juanita", 12170 "Anita", 12171 "Rhonda", 12172 "Hazel", 12173 "Amber", 12174 "Eva", 12175 "Debbie", 12176 "April", 12177 "Leslie", 12178 "Clara", 12179 "Lucille", 12180 "Jamie", 12181 "Joanne", 12182 "Eleanor", 12183 "Valerie", 12184 "Danielle", 12185 "Megan", 12186 "Alicia", 12187 "Suzanne", 12188 "Michele", 12189 "Gail", 12190 "Bertha", 12191 "Darlene", 12192 "Veronica", 12193 "Jill", 12194 "Erin", 12195 "Geraldine", 12196 "Lauren", 12197 "Cathy", 12198 "Joann", 12199 "Lorraine", 12200 "Lynn", 12201 "Sally", 12202 "Regina", 12203 "Erica", 12204 "Beatrice", 12205 "Dolores", 12206 "Bernice", 12207 "Audrey", 12208 "Yvonne", 12209 "Annette", 12210 "June", 12211 "Samantha", 12212 "Marion", 12213 "Dana", 12214 "Stacy", 12215 "Ana", 12216 "Renee", 12217 "Ida", 12218 "Vivian", 12219 "Roberta", 12220 "Holly", 12221 "Brittany", 12222 "Melanie", 12223 "Loretta", 12224 "Yolanda", 12225 "Jeanette", 12226 "Laurie", 12227 "Katie", 12228 "Kristen", 12229 "Vanessa", 12230 "Alma", 12231 "Sue", 12232 "Elsie", 12233 "Beth", 12234 "Jeanne", 12235 "Vicki", 12236 "Carla", 12237 "Tara", 12238 "Rosemary", 12239 "Eileen", 12240 "Terri", 12241 "Gertrude", 12242 "Lucy", 12243 "Tonya", 12244 "Ella", 12245 "Stacey", 12246 "Wilma", 12247 "Gina", 12248 "Kristin", 12249 "Jessie", 12250 "Natalie", 12251 "Agnes", 12252 "Vera", 12253 "Willie", 12254 "Charlene", 12255 "Bessie", 12256 "Delores", 12257 "Melinda", 12258 "Pearl", 12259 "Arlene", 12260 "Maureen", 12261 "Colleen", 12262 "Allison", 12263 "Tamara", 12264 "Joy", 12265 "Georgia", 12266 "Constance", 12267 "Lillie", 12268 "Claudia", 12269 "Jackie", 12270 "Marcia", 12271 "Tanya", 12272 "Nellie", 12273 "Minnie", 12274 "Marlene", 12275 "Heidi", 12276 "Glenda", 12277 "Lydia", 12278 "Viola", 12279 "Courtney", 12280 "Marian", 12281 "Stella", 12282 "Caroline", 12283 "Dora", 12284 "Jo", 12285 "Vickie", 12286 "Mattie", 12287 "Terry", 12288 "Maxine", 12289 "Irma", 12290 "Mabel", 12291 "Marsha", 12292 "Myrtle", 12293 "Lena", 12294 "Christy", 12295 "Deanna", 12296 "Patsy", 12297 "Hilda", 12298 "Gwendolyn", 12299 "Jennie", 12300 "Nora", 12301 "Margie", 12302 "Nina", 12303 "Cassandra", 12304 "Leah", 12305 "Penny", 12306 "Kay", 12307 "Priscilla", 12308 "Naomi", 12309 "Carole", 12310 "Brandy", 12311 "Olga", 12312 "Billie", 12313 "Dianne", 12314 "Tracey", 12315 "Leona", 12316 "Jenny", 12317 "Felicia", 12318 "Sonia", 12319 "Miriam", 12320 "Velma", 12321 "Becky", 12322 "Bobbie", 12323 "Violet", 12324 "Kristina", 12325 "Toni", 12326 "Misty", 12327 "Mae", 12328 "Shelly", 12329 "Daisy", 12330 "Ramona", 12331 "Sherri", 12332 "Erika", 12333 "Katrina", 12334 "Claire", 12335 "Lindsey", 12336 "Lindsay", 12337 "Geneva", 12338 "Guadalupe", 12339 "Belinda", 12340 "Margarita", 12341 "Sheryl", 12342 "Cora", 12343 "Faye", 12344 "Ada", 12345 "Natasha", 12346 "Sabrina", 12347 "Isabel", 12348 "Marguerite", 12349 "Hattie", 12350 "Harriet", 12351 "Molly", 12352 "Cecilia", 12353 "Kristi", 12354 "Brandi", 12355 "Blanche", 12356 "Sandy", 12357 "Rosie", 12358 "Joanna", 12359 "Iris", 12360 "Eunice", 12361 "Angie", 12362 "Inez", 12363 "Lynda", 12364 "Madeline", 12365 "Amelia", 12366 "Alberta", 12367 "Genevieve", 12368 "Monique", 12369 "Jodi", 12370 "Janie", 12371 "Maggie", 12372 "Kayla", 12373 "Sonya", 12374 "Jan", 12375 "Lee", 12376 "Kristine", 12377 "Candace", 12378 "Fannie", 12379 "Maryann", 12380 "Opal", 12381 "Alison", 12382 "Yvette", 12383 "Melody", 12384 "Luz", 12385 "Susie", 12386 "Olivia", 12387 "Flora", 12388 "Shelley", 12389 "Kristy", 12390 "Mamie", 12391 "Lula", 12392 "Lola", 12393 "Verna", 12394 "Beulah", 12395 "Antoinette", 12396 "Candice", 12397 "Juana", 12398 "Jeannette", 12399 "Pam", 12400 "Kelli", 12401 "Hannah", 12402 "Whitney", 12403 "Bridget", 12404 "Karla", 12405 "Celia", 12406 "Latoya", 12407 "Patty", 12408 "Shelia", 12409 "Gayle", 12410 "Della", 12411 "Vicky", 12412 "Lynne", 12413 "Sheri", 12414 "Marianne", 12415 "Kara", 12416 "Jacquelyn", 12417 "Erma", 12418 "Blanca", 12419 "Myra", 12420 "Leticia", 12421 "Pat", 12422 "Krista", 12423 "Roxanne", 12424 "Angelica", 12425 "Johnnie", 12426 "Robyn", 12427 "Francis", 12428 "Adrienne", 12429 "Rosalie", 12430 "Alexandra", 12431 "Brooke", 12432 "Bethany", 12433 "Sadie", 12434 "Bernadette", 12435 "Traci", 12436 "Jody", 12437 "Kendra", 12438 "Jasmine", 12439 "Nichole", 12440 "Rachael", 12441 "Chelsea", 12442 "Mable", 12443 "Ernestine", 12444 "Muriel", 12445 "Marcella", 12446 "Elena", 12447 "Krystal", 12448 "Angelina", 12449 "Nadine", 12450 "Kari", 12451 "Estelle", 12452 "Dianna", 12453 "Paulette", 12454 "Lora", 12455 "Mona", 12456 "Doreen", 12457 "Rosemarie", 12458 "Angel", 12459 "Desiree", 12460 "Antonia", 12461 "Hope", 12462 "Ginger", 12463 "Janis", 12464 "Betsy", 12465 "Christie", 12466 "Freda", 12467 "Mercedes", 12468 "Meredith", 12469 "Lynette", 12470 "Teri", 12471 "Cristina", 12472 "Eula", 12473 "Leigh", 12474 "Meghan", 12475 "Sophia", 12476 "Eloise", 12477 "Rochelle", 12478 "Gretchen", 12479 "Cecelia", 12480 "Raquel", 12481 "Henrietta", 12482 "Alyssa", 12483 "Jana", 12484 "Kelley", 12485 "Gwen", 12486 "Kerry", 12487 "Jenna", 12488 "Tricia", 12489 "Laverne", 12490 "Olive", 12491 "Alexis", 12492 "Tasha", 12493 "Silvia", 12494 "Elvira", 12495 "Casey", 12496 "Delia", 12497 "Sophie", 12498 "Kate", 12499 "Patti", 12500 "Lorena", 12501 "Kellie", 12502 "Sonja", 12503 "Lila", 12504 "Lana", 12505 "Darla", 12506 "May", 12507 "Mindy", 12508 "Essie", 12509 "Mandy", 12510 "Lorene", 12511 "Elsa", 12512 "Josefina", 12513 "Jeannie", 12514 "Miranda", 12515 "Dixie", 12516 "Lucia", 12517 "Marta", 12518 "Faith", 12519 "Lela", 12520 "Johanna", 12521 "Shari", 12522 "Camille", 12523 "Tami", 12524 "Shawna", 12525 "Elisa", 12526 "Ebony", 12527 "Melba", 12528 "Ora", 12529 "Nettie", 12530 "Tabitha", 12531 "Ollie", 12532 "Jaime", 12533 "Winifred", 12534 "Kristie" 12535 ]; 12536 return choice(data, this.rnd); 12537 } 12538 12539 /// 12540 string nameMiddleName() { 12541 auto data = [ 12542 "Addison", 12543 "Alex", 12544 "Anderson", 12545 "Angel", 12546 "Arden", 12547 "August", 12548 "Austin", 12549 "Avery", 12550 "Bailey", 12551 "Billie", 12552 "Blake", 12553 "Bowie", 12554 "Brooklyn", 12555 "Cameron", 12556 "Charlie", 12557 "Corey", 12558 "Dakota", 12559 "Drew", 12560 "Elliott", 12561 "Ellis", 12562 "Emerson", 12563 "Finley", 12564 "Gray", 12565 "Greer", 12566 "Harper", 12567 "Hayden", 12568 "Jaden", 12569 "James", 12570 "Jamie", 12571 "Jordan", 12572 "Jules", 12573 "Kai", 12574 "Kendall", 12575 "Kennedy", 12576 "Kyle", 12577 "Leslie", 12578 "Logan", 12579 "London", 12580 "Marlowe", 12581 "Micah", 12582 "Nico", 12583 "Noah", 12584 "North", 12585 "Parker", 12586 "Phoenix", 12587 "Quinn", 12588 "Reagan", 12589 "Reese", 12590 "Reign", 12591 "Riley", 12592 "River", 12593 "Robin", 12594 "Rory", 12595 "Rowan", 12596 "Ryan", 12597 "Sage", 12598 "Sasha", 12599 "Sawyer", 12600 "Shawn", 12601 "Shiloh", 12602 "Skyler", 12603 "Taylor" 12604 ]; 12605 return choice(data, this.rnd); 12606 } 12607 12608 /// 12609 string nameGender() { 12610 auto data = [ 12611 "Agender", 12612 "Androgyne", 12613 "Androgynous", 12614 "Bigender", 12615 "Cis female", 12616 "Cis male", 12617 "Cis man", 12618 "Cis woman", 12619 "Cis", 12620 "Cisgender female", 12621 "Cisgender male", 12622 "Cisgender man", 12623 "Cisgender woman", 12624 "Cisgender", 12625 "Demi-boy", 12626 "Demi-girl", 12627 "Demi-man", 12628 "Demi-woman", 12629 "Demiflux", 12630 "Demigender", 12631 "F2M", 12632 "FTM", 12633 "Female to male trans man", 12634 "Female to male transgender man", 12635 "Female to male transsexual man", 12636 "Female to male", 12637 "Gender fluid", 12638 "Gender neutral", 12639 "Gender nonconforming", 12640 "Gender questioning", 12641 "Gender variant", 12642 "Genderflux", 12643 "Genderqueer", 12644 "Hermaphrodite", 12645 "Intersex man", 12646 "Intersex person", 12647 "Intersex woman", 12648 "Intersex", 12649 "M2F", 12650 "MTF", 12651 "Male to female trans woman", 12652 "Male to female transgender woman", 12653 "Male to female transsexual woman", 12654 "Male to female", 12655 "Man", 12656 "Multigender", 12657 "Neither", 12658 "Neutrois", 12659 "Non-binary", 12660 "Omnigender", 12661 "Other", 12662 "Pangender", 12663 "Polygender", 12664 "T* man", 12665 "T* woman", 12666 "Trans female", 12667 "Trans male", 12668 "Trans man", 12669 "Trans person", 12670 "Trans woman", 12671 "Trans", 12672 "Transexual female", 12673 "Transexual male", 12674 "Transexual man", 12675 "Transexual person", 12676 "Transexual woman", 12677 "Transexual", 12678 "Transgender female", 12679 "Transgender person", 12680 "Transmasculine", 12681 "Trigender", 12682 "Two* person", 12683 "Two-spirit person", 12684 "Two-spirit", 12685 "Woman", 12686 "Xenogender" 12687 ]; 12688 return choice(data, this.rnd); 12689 } 12690 12691 /// 12692 string nameBinaryGender() { 12693 auto data = [ 12694 "Female", 12695 "Male'" 12696 ]; 12697 return choice(data, this.rnd); 12698 } 12699 12700 /// 12701 string namePrefix() { 12702 auto data = [ 12703 "Mr.", 12704 "Mrs.", 12705 "Ms.", 12706 "Miss", 12707 "Dr.'" 12708 ]; 12709 return choice(data, this.rnd); 12710 } 12711 12712 /// 12713 string musicSongName() { 12714 auto data = [ 12715 "White Christmas", 12716 "Hey Jude", 12717 "Every Breath You Take", 12718 "Mack the Knife", 12719 "Rock Around the Clock", 12720 "I Want to Hold Your Hand", 12721 "(I Can't Get No) Satisfaction", 12722 "The Twist", 12723 "(Everything I Do) I Do it For You", 12724 "Bridge Over Troubled Water", 12725 "When Doves Cry", 12726 "Call Me", 12727 "Bette Davis Eyes", 12728 "I Will Always Love You", 12729 "Over the Rainbow", 12730 "American Pie", 12731 "Flashdance. What a Feeling", 12732 "The Way We Were", 12733 "I Heard it Through the Grapevine", 12734 "You've Lost That Lovin' Feelin", 12735 "Nothing Compares 2 U", 12736 "Endless Love", 12737 "Yeah!", 12738 "Let's Get it On", 12739 "That's What Friends Are For", 12740 "You Light Up My Life", 12741 "(Sittin' On) the Dock of the Bay", 12742 "Joy to the World", 12743 "Heartbreak Hotel", 12744 "Theme From 'A Summer Place", 12745 "Aquarius/Let The Sunshine In", 12746 "I Will Survive", 12747 "It's Too Late", 12748 "Respect", 12749 "Sugar Sugar", 12750 "Stayin' Alive", 12751 "Maggie May", 12752 "My Heart Will Go On", 12753 "Eye of the Tiger", 12754 "End of the Road", 12755 "Another One Bites the Dust", 12756 "Billie Jean", 12757 "Let's Stay Together", 12758 "Battle of New Orleans", 12759 "Oh", 12760 "Hound Dog", 12761 "I Love Rock 'n' Roll", 12762 "Smooth", 12763 "Good Vibrations", 12764 "Physical", 12765 "Light My Fire", 12766 "Low", 12767 "Hey Ya!", 12768 "Let it Be", 12769 "Don't Be Cruel", 12770 "Hotel California", 12771 "We Belong Together", 12772 "Le Freak", 12773 "Raindrops Keep Falling On My Head", 12774 "How High the Moon", 12775 "My Girl", 12776 "I Can't Stop Loving You", 12777 "Killing Me Softly With His Song", 12778 "Mona Lisa", 12779 "In the Mood", 12780 "She Loves You", 12781 "The Letter", 12782 "Mister Sandman", 12783 "Careless Whisper", 12784 "What's Love Got to Do With It?", 12785 "I'm a Believer", 12786 "Wooly Bully", 12787 "Theme From 'Shaft", 12788 "Hot Stuff", 12789 "Centerfold", 12790 "Honky Tonk Woman", 12791 "I'll Be There", 12792 "Gangsta's Paradise", 12793 "Yesterday", 12794 "My Sharona", 12795 "Tennessee Waltz", 12796 "Reach Out (I'll Be There)", 12797 "California Dreamin", 12798 "Jailhouse Rock", 12799 "Irreplaceable", 12800 "Dancing in the Street", 12801 "Rolling In The Deep", 12802 "Tie a Yellow Ribbon 'round the Old Oak Tree", 12803 "Stand By Me", 12804 "Sentimental Journey", 12805 "The First Time Ever I Saw Your Face", 12806 "Louie Louie", 12807 "Another Brick in the Wall (part 2)", 12808 "(Just Like) Starting Over", 12809 "Night Fever", 12810 "To Sir", 12811 "You're So Vain", 12812 "Be My Baby", 12813 "Celebration", 12814 "(They Long to Be) Close to You", 12815 "Begin the Beguine", 12816 "I Still Haven't Found What I'm Looking For", 12817 "I Want You Back", 12818 "Arthur's Theme (Best That You Can Do)", 12819 "Boulevard of Broken Dreams", 12820 "With Or Without You", 12821 "Tonight's the Night (Gonna Be Alright)", 12822 "Are You Lonesome Tonight?", 12823 "Upside Down", 12824 "Dancing Queen", 12825 "Sweet Child O' Mine", 12826 "Where Did Our Love Go", 12827 "Unchained Melody", 12828 "Rudolph", 12829 "Take My Breath Away", 12830 "I'll Make Love to You", 12831 "Love Will Keep Us Together", 12832 "When a Man Loves a Woman", 12833 "Walk Like an Egyptian", 12834 "Crazy in Love", 12835 "Strangers in the Night", 12836 "You Belong to Me", 12837 "In Da Club", 12838 "Say You", 12839 "We Are the World", 12840 "Johnny B Goode", 12841 "Love Theme From 'A Star is Born' (Evergreen)", 12842 "Shadow Dancing", 12843 "Superstition", 12844 "Beat It", 12845 "Night & Day", 12846 "Waterfalls", 12847 "House of the Rising Sun", 12848 "Paper Doll", 12849 "Downtown", 12850 "I Can't Help Myself (Sugar Pie", 12851 "Kiss From a Rose", 12852 "Believe", 12853 "Ballad of the Green Berets", 12854 "Proud Mary", 12855 "Too Young", 12856 "Umbrella", 12857 "Swanee", 12858 "Need You Tonight", 12859 "Like a Rolling Stone", 12860 "Lady", 12861 "One Sweet Day", 12862 "Lean On Me", 12863 "Tik-Toc", 12864 "Monday Monday", 12865 "What'd I Say", 12866 "How You Remind Me", 12867 "Silly Love Songs", 12868 "My Guy", 12869 "Macarena", 12870 "Goodnight", 12871 "Just My Imagination (Running Away With Me)", 12872 "The Sounds of Silence", 12873 "Imagine", 12874 "Me & Bobby McGee", 12875 "Near You", 12876 "What's Going On?", 12877 "Suspicious Minds", 12878 "Ode To Billie Joe", 12879 "Wind Beneath My Wings", 12880 "The Boy is Mine", 12881 "Mr Tambourine Man", 12882 "Faith", 12883 "Green Onions", 12884 "Mrs Robinson", 12885 "How Deep is Your Love?", 12886 "Hey There", 12887 "Heart of Glass", 12888 "Pennies From Heaven", 12889 "Like a Virgin", 12890 "Midnight Train to Georgia", 12891 "Help!", 12892 "Tossing & Turning", 12893 "The Sign", 12894 "Born to Be Wild", 12895 "Layla", 12896 "I Just Wanna Be Your Everything", 12897 "War", 12898 "96 Tears", 12899 "I Get Around", 12900 "Because You Loved Me", 12901 "Summer in the City", 12902 "Get Back", 12903 "Secret Love", 12904 "9 to 5", 12905 "(Ghost) Riders in the Sky", 12906 "The Loco-Motion", 12907 "Play That Funky Music", 12908 "Bohemian Rhapsody", 12909 "Little Things Mean a Lot", 12910 "Cry", 12911 "All Shook Up", 12912 "Up Where We Belong", 12913 "Sledgehammer", 12914 "Fire & Rain", 12915 "Stop! in the Name of Love", 12916 "Sweet Home Alabama", 12917 "Another Day in Paradise", 12918 "Bleeding Love", 12919 "Lady Marmalade (Voulez-Vous Coucher Aver Moi Ce Soir?)", 12920 "Whispering", 12921 "Vogue", 12922 "Under the Bridge", 12923 "Sixteen Tons", 12924 "Sugar Shack", 12925 "Baby Love", 12926 "What a Fool Believes", 12927 "Lose Yourself", 12928 "Hello Dolly", 12929 "Brown Eyed Girl", 12930 "Without You", 12931 "Build Me Up Buttercup", 12932 "We Found Love", 12933 "Tears in Heaven", 12934 "Family Affair", 12935 "All I Wanna Do", 12936 "Soul Man", 12937 "Tequila", 12938 "Rock With You", 12939 "Livin' La Vida Loca", 12940 "Best of My Love", 12941 "Runaway", 12942 "Alone Again (Naturally)", 12943 "Can't Help Falling in Love", 12944 "My Sweet Lord", 12945 "Runaround Sue", 12946 "Swinging On a Star", 12947 "Gold Digger", 12948 "Happy Together", 12949 "Losing My Religion", 12950 "Heart of Gold", 12951 "Stardust", 12952 "Will You Love Me Tomorrow", 12953 "You Are the Sunshine of My Life", 12954 "You Were Meant for Me", 12955 "Take On Me", 12956 "Hollaback Girl", 12957 "God Bless America", 12958 "I Swear", 12959 "Sunshine of Your Love", 12960 "Firework", 12961 "Groovin", 12962 "Smells Like Teen Spirit", 12963 "Big Girls Don't Cry", 12964 "Jack & Diane", 12965 "Addicted to Love", 12966 "The Last Dance", 12967 "Georgia On My Mind", 12968 "Money For Nothing", 12969 "Jump", 12970 "Vaya Con Dios (may God Be With You)", 12971 "You'll Never Know", 12972 "That'll Be the Day", 12973 "Girls Just Wanna Have Fun", 12974 "Wheel of Fortune", 12975 "When You Wish Upon a Star", 12976 "Don't Fence Me In", 12977 "Turn! Turn! Turn! (To Everything There is a Season)", 12978 "Volare", 12979 "Sweet Dreams (Are Made of This)", 12980 "Whole Lotta Love", 12981 "You've Got a Friend", 12982 "Penny Lane", 12983 "People Got to Be Free", 12984 "Nature Boy", 12985 "Sexyback", 12986 "Crying", 12987 "Single Ladies (Put A Ring On It)", 12988 "Bad Girls", 12989 "Too Close", 12990 "I Got You Babe", 12991 "We've Only Just Begun", 12992 "Sh-Boom (Life Could Be a Dream)", 12993 "Shining Star", 12994 "Kansas City", 12995 "Like a Prayer", 12996 "Cheek to Cheek", 12997 "Papa Was a Rolling Stone", 12998 "Promiscuous", 12999 "Love Shack", 13000 "Funkytown", 13001 "Crazy", 13002 "Philadelphia Freedom", 13003 "Temperature", 13004 "Somebody That I Used to Know", 13005 "All I Have to Do is Dream", 13006 "Jessie's Girl", 13007 "Rhinestone Cowboy", 13008 "Blue Suede Shoes", 13009 "Ebony & Ivory", 13010 "I'll Never Smile Again", 13011 "Keep On Loving You", 13012 "Since U Been Gone", 13013 "The Way You Look Tonight", 13014 "Crazy Little Thing Called Love", 13015 "The Great Pretender", 13016 "Brown Sugar", 13017 "Que sera sera (Whatever will be will be)", 13018 "No One", 13019 "Bad Day", 13020 "Boom Boom Pow", 13021 "Party Rock Anthem", 13022 "Because of You", 13023 "Chattanooga Choo Choo", 13024 "A Whiter Shade of Pale", 13025 "Love Me Tender", 13026 "Higher Love", 13027 "Footloose", 13028 "Blurred Lines", 13029 "I Just Called to Say I Love You", 13030 "Come Together", 13031 "It's Now Or Never", 13032 "Under the Boardwalk", 13033 "Don't You Want Me", 13034 "You Can't Hurry Love", 13035 "Fame", 13036 "Fallin", 13037 "Poker Face", 13038 "Bad Romance", 13039 "Ruby Tuesday", 13040 "All Night Long (All Night)", 13041 "Baby Got Back", 13042 "Whole Lotta Shakin' Goin' On", 13043 "Frenesi", 13044 "December 1963 (Oh What a Night)", 13045 "Bad Moon Rising", 13046 "Abracadabra", 13047 "I Gotta Feeling", 13048 "The Song From Moulin Rouge (Where Is Your Heart)", 13049 "Waiting For a Girl Like You", 13050 "Everybody Loves Somebody", 13051 "I Can't Go For That (No Can Do)", 13052 "Buttons & Bows", 13053 "It's All in the Game", 13054 "Love Train", 13055 "Dance to the Music", 13056 "Candle in the Wind '97", 13057 "Honey", 13058 "Kiss", 13059 "I'll Take You There", 13060 "Paint it Black", 13061 "Band of Gold", 13062 "Just the Way You Are", 13063 "Spirit in the Sky", 13064 "Vision of Love", 13065 "Hips don't lie", 13066 "Till The End of Time", 13067 "Duke of Earl", 13068 "YMCA", 13069 "Oh My Papa (O Mein Papa)", 13070 "Pistol Packin' Mama", 13071 "Gonna Make You Sweat (Everybody Dance Now)", 13072 "Dilemma", 13073 "I Need You Now", 13074 "Wanted", 13075 "Jumpin' Jack Flash", 13076 "Against All Odds (Take a Look At Me Now)", 13077 "Tom Dooley", 13078 "Goodbye Yellow Brick Road", 13079 "Rhapsody in Blue", 13080 "Bennie & the Jets", 13081 "Call Me Maybe", 13082 "You Really Got Me", 13083 "God Bless the Child", 13084 "I'm Sorry", 13085 "Bad", 13086 "I Can't Get Next to You", 13087 "The Power of Love", 13088 "Dreamlover", 13089 "Only The Lonely (Know The Way I Feel)", 13090 "We Are Family", 13091 "At Last", 13092 "Brand New Key", 13093 "I've Heard That Song Before", 13094 "Stay (I Missed You)", 13095 "Do Ya Think I'm Sexy?", 13096 "Tutti Frutti", 13097 "This Ole House", 13098 "Please Mr Postman", 13099 "Can't Help Falling in Love", 13100 "Good Times", 13101 "Something", 13102 "(I've Had) the Time of My Life", 13103 "I Don't Want to Miss a Thing", 13104 "Down Hearted Blues", 13105 "Rag Doll", 13106 "Blueberry Hill", 13107 "Ain't No Sunshine", 13108 "Wild Thing", 13109 "Blaze of Glory", 13110 "Crazy", 13111 "Ray of Light", 13112 "The Hustle", 13113 "Grenade", 13114 "Cathy's Clown", 13115 "Minnie the Moocher", 13116 "Love Is Blue (L'Amour Est Bleu)", 13117 "Iris", 13118 "The Boys of Summer", 13119 "The Tide is High", 13120 "She Drives Me Crazy", 13121 "Fame", 13122 "Stardust", 13123 "Save the Best For Last", 13124 "These Boots Are Made For Walking", 13125 "I Feel Love", 13126 "A Woman in Love", 13127 "We Can Work it Out", 13128 "The Reason", 13129 "Locked Out Of Heaven", 13130 "Do That to Me One More Time", 13131 "That's the Way Love Goes", 13132 "A Hard Day's Night", 13133 "I Believe I Can Fly", 13134 "Karma Chameleon", 13135 "One O'Clock Jump", 13136 "Mule Train", 13137 "Car Wash", 13138 "Rapture", 13139 "Creep", 13140 "Streets of Philadelphia", 13141 "West End Girls", 13142 "Leader of the Pack", 13143 "T For Texas (Blue Yodel No 1)", 13144 "Mama Told Me Not to Come", 13145 "Just Dance", 13146 "Mercy Mercy Me (The Ecology)", 13147 "Livin' On a Prayer", 13148 "Good Lovin", 13149 "50 Ways to Leave Your Lover", 13150 "Stronger", 13151 "I Can See Clearly Now", 13152 "We Are the Champions", 13153 "(I've Got a Gal In) Kalamazoo", 13154 "No Scrubs", 13155 "Big Girls Don't Cry", 13156 "How Do You Mend a Broken Heart", 13157 "I Got You (I Feel Good)", 13158 "Don't Let the Stars Get in Your Eyes", 13159 "The Girl From Ipanema", 13160 "(Sexual) Healing", 13161 "Tears of a Clown", 13162 "We Will Rock You", 13163 "Hold On", 13164 "Bye Bye Love", 13165 "Chapel of Love", 13166 "White Rabbit", 13167 "Rock the Boat", 13168 "The Gypsy", 13169 "Take The 'A' Train", 13170 "Crimson & Clover", 13171 "Crocodile Rock", 13172 "Make Love to Me", 13173 "Nothing's Gonna Stop Us Now", 13174 "Say Say Say", 13175 "The Christmas Song (Chestnuts Roasting On An Open Fire)", 13176 "Un-Break My Heart", 13177 "Cherish", 13178 "I'll Be Missing You", 13179 "Drops of Jupiter (Tell Me)", 13180 "There goes my baby", 13181 "You Send Me", 13182 "If (They Made Me a King)", 13183 "The Prisoner's Song", 13184 "ABC", 13185 "Do Wah Diddy Diddy", 13186 "He's So Fine", 13187 "A Boy Named Sue", 13188 "Roll Over Beethoven", 13189 "Sweet Georgia Brown", 13190 "Earth Angel", 13191 "Rehab", 13192 "(You Keep Me) Hangin' On", 13193 "This Diamond Ring", 13194 "Be My Love", 13195 "Rush Rush", 13196 "You're Beautiful", 13197 "Roll With It", 13198 "Moonlight Serenade", 13199 "Unbelievable", 13200 "Peg o' My Heart", 13201 "This Land is Your Land", 13202 "Stranger On the Shore", 13203 "Rum & Coca-Cola", 13204 "Hit the Road", 13205 "Without Me", 13206 "Crazy For You", 13207 "I Want to Know What Love Is", 13208 "Bye Bye", 13209 "Down Under", 13210 "At the Hop", 13211 "One Bad Apple", 13212 "Kiss & Say Goodbye", 13213 "For What It's Worth (Stop", 13214 "The Long & Winding Road", 13215 "Baby One More Time", 13216 "Stairway to Heaven", 13217 "How Do I Live?", 13218 "Hello", 13219 "Truly Madly Deeply", 13220 "Great Balls of Fire", 13221 "King of the Road", 13222 "I Wanna Dance With Somebody (Who Loves Me)", 13223 "Reunited", 13224 "Help Me", 13225 "Rags to Riches", 13226 "(It's No) Sin", 13227 "Say My Name", 13228 "Nobody Does it Better", 13229 "Paperback Writer", 13230 "Don't Worry Be Happy", 13231 "I Fall to Pieces", 13232 "Body & Soul", 13233 "You're Still the One", 13234 "Stormy Weather (Keeps Rainin' All the Time)", 13235 "Horse With No Name", 13236 "American Woman", 13237 "Chattanoogie Shoe-Shine Boy", 13238 "Pick Up the Pieces", 13239 "Everybody Wants to Rule the World", 13240 "Blue Tango", 13241 "Hurt So Good", 13242 "Apologize", 13243 "Let's Dance", 13244 "(You're My) Soul & Inspiration", 13245 "I Only Have Eyes For You", 13246 "Wichita Lineman", 13247 "Hanging by a Moment", 13248 "Spinning Wheel", 13249 "Look Away", 13250 "Ironic", 13251 "Don't Stop 'Til You Get Enough", 13252 "Empire State Of Mind", 13253 "Do You Love Me?", 13254 "Jive Talkin", 13255 "You're the One That I Want", 13256 "Sweet Soul Music", 13257 "Hey There Delilah", 13258 "A Whole New World (Aladdin's Theme)", 13259 "Somethin' Stupid", 13260 "Knock Three Times", 13261 "Mickey", 13262 "The Wanderer", 13263 "Dancing in the Dark", 13264 "It's Still Rock 'n' Roll to Me", 13265 "Boogie Oogie Oogie", 13266 "Can You Feel the Love Tonight", 13267 "Harper Valley PTA", 13268 "Seasons in the Sun", 13269 "Come On-a My House", 13270 "Viva La Vida", 13271 "Walk On By", 13272 "Family Affair", 13273 "Drop it Like It's Hot", 13274 "Private Eyes", 13275 "Maniac", 13276 "All My Lovin' (You're Never Gonna Get It)", 13277 "Take a Bow", 13278 "Ring of Fire", 13279 "Save the Last Dance For Me", 13280 "Make it With You", 13281 "Don't Speak", 13282 "I Shot the Sheriff", 13283 "Say It Right", 13284 "Sing", 13285 "Twist & Shout", 13286 "Twist & Shout", 13287 "Walk This Way", 13288 "A-Tisket A-Tasket", 13289 "Let Me Love You", 13290 "I Can Dream", 13291 "Toxic", 13292 "The Joker", 13293 "Hero", 13294 "In the Year 2525 (Exordium & Terminus)", 13295 "Your Song", 13296 "Oh Happy Day", 13297 "Grease", 13298 "Love In This Club", 13299 "Angie", 13300 "How Much is That Doggy in the Window?", 13301 "Daydream Believer", 13302 "Whip It", 13303 "Boogie Woogie Bugle Boy", 13304 "Down", 13305 "Hanky Panky", 13306 "Total Eclipse of the Heart", 13307 "Cat's in the Cradle", 13308 "Strange Fruit", 13309 "Lady Marmalade (Voulez-Vous Coucher Aver Moi Ce Soir?)", 13310 "Breathe", 13311 "On My Own", 13312 "Dizzy", 13313 "Ticket to Ride", 13314 "We Got The Beat", 13315 "On the Atchison", 13316 "Always On My Mind", 13317 "Unforgettable", 13318 "In the End", 13319 "Just the Way You Are", 13320 "Music", 13321 "Can't Buy Me Love", 13322 "Chain of Fools", 13323 "Won't Get Fooled Again", 13324 "Happy Days Are Here Again", 13325 "Third Man Theme", 13326 "Your Cheatin' Heart", 13327 "Thriller", 13328 "Venus", 13329 "Time After Time", 13330 "That Lucky Old Sun (Just Rolls Around Heaven All Day)", 13331 "E.T.", 13332 "Three Coins in the Fountain", 13333 "Touch Me", 13334 "You Ain't Seen Nothin' Yet", 13335 "Gives You Hell", 13336 "Knock On Wood", 13337 "One of These Nights", 13338 "Again", 13339 "Doo Wop (That Thing)", 13340 "Whoomp! (There it Is)", 13341 "Magic", 13342 "I'm Walking Behind You", 13343 "We Didn't Start the Fire", 13344 "Lola", 13345 "Ghostbusters", 13346 "Winchester Cathedral", 13347 "Greatest Love of All", 13348 "My Love", 13349 "Wannabe", 13350 "Miss You", 13351 "I Feel Fine", 13352 "Baby Baby", 13353 "TSOP (The Sound of Philadelphia)", 13354 "Loving You", 13355 "This Guy's in Love With You", 13356 "Till I Waltz Again With You", 13357 "Why Do Fools Fall in Love?", 13358 "Nights in White Satin", 13359 "That's the Way (I Like It)", 13360 "My Prayer", 13361 "(Put Another Nickel In) Music! Music! Music!", 13362 "Colors of the Wind", 13363 "Morning Train (Nine to Five)", 13364 "I Went to Your Wedding", 13365 "Kiss Me", 13366 "Gypsies", 13367 "Cracklin' Rosie", 13368 "Maybellene", 13369 "Born in the USA", 13370 "Here Without You", 13371 "Mony Mony", 13372 "Mmmbop", 13373 "You Always Hurt the One You Love", 13374 "Eight Days a Week", 13375 "What Goes Around Comes Around", 13376 "Kung Fu Fighting", 13377 "Fantasy", 13378 "Sir Duke", 13379 "Ain't Misbehavin", 13380 "Need You Now", 13381 "Last Train to Clarksville", 13382 "Yakety Yak", 13383 "I'll be seeing you", 13384 "Hard to Say I'm Sorry", 13385 "It's My Party", 13386 "Love to Love You Baby", 13387 "Miss You Much", 13388 "Born to Run", 13389 "Instant Karma", 13390 "The Rose", 13391 "Purple Rain", 13392 "One", 13393 "Groove is in the Heart", 13394 "Gimme Some Lovin", 13395 "Beautiful Day", 13396 "Escape (The Pina Colada Song)", 13397 "Use Somebody", 13398 "Fortunate Son", 13399 "Afternoon Delight", 13400 "Love's Theme", 13401 "Sailing", 13402 "Cherry Pink & Apple Blossom White", 13403 "Georgy Girl", 13404 "How to Save a Life", 13405 "I Walk the Line", 13406 "All You Need is Love", 13407 "U Can't Touch This", 13408 "All Out of Love", 13409 "Where is the Love?", 13410 "Revolution", 13411 "The Love You Save", 13412 "Black Or White", 13413 "This Used to Be My Playground", 13414 "Living For the City", 13415 "School's Out", 13416 "Disturbia", 13417 "Riders On the Storm", 13418 "Some Enchanted Evening", 13419 "Weak", 13420 "Maneater", 13421 "More Than Words", 13422 "Time of the Season", 13423 "Mrs Brown You've Got a Lovely Daughter", 13424 "If You Leave Me Now", 13425 "Can't Get Enough of Your Love", 13426 "Na Na Hey Hey (Kiss Him Goodbye)", 13427 "Mr Brightside", 13428 "Black Velvet", 13429 "I'm Yours", 13430 "My Blue Heaven", 13431 "It Had to Be You", 13432 "Tha Crossroads", 13433 "Ac-cent-tchu-ate the Positive", 13434 "Everyday People", 13435 "We Are Young", 13436 "Take Me Home", 13437 "Smoke! Smoke! Smoke! (That Cigarette)", 13438 "In the Summertime", 13439 "The Tracks of My Tears", 13440 "Fly Robin Fly", 13441 "Love is a Many Splendoured Thing", 13442 "Another Night", 13443 "Long Tall Sally", 13444 "You Sexy Thing", 13445 "The Morning After", 13446 "The Loco-Motion", 13447 "Get Off of My Cloud", 13448 "Roses Are Red", 13449 "Thank You (Falettinme be Mice Elf Again)", 13450 "Slow Poke", 13451 "You Belong With Me", 13452 "Stormy Weather (Keeps Rainin' All the Time)", 13453 "Ain't No Mountain High Enough", 13454 "Auf Wiederseh'n Sweetheart", 13455 "Beauty & the Beast", 13456 "St Louis Blues", 13457 "Peggy Sue", 13458 "U Got it Bad", 13459 "Sweet Caroline (Good Times Never Seemed So Good)", 13460 "Wedding Bell Blues", 13461 "Freebird", 13462 "Jump", 13463 "Wipe Out", 13464 "California Girls", 13465 "Being With You", 13466 "Makin' Whoopee", 13467 "My Love", 13468 "Shop Around", 13469 "Smoke On the Water", 13470 "Hungry Heart", 13471 "That's Amore", 13472 "My Life", 13473 "Brandy (You're A Fine Girl)", 13474 "Walk Don't Run", 13475 "Surfin' USA", 13476 "Ball of Confusion (That's What the World is Today)", 13477 "Sunshine Superman", 13478 "Frankenstein", 13479 "Kiss You All Over", 13480 "Wishing Well", 13481 "Piano Man", 13482 "Ben", 13483 "In the Ghetto", 13484 "Hang On Sloopy", 13485 "Singing The Blues", 13486 "Cry Like a Baby", 13487 "I Honestly Love You", 13488 "Brother", 13489 "Lookin' Out My Back Door", 13490 "Candy Man", 13491 "Burn", 13492 "Stagger Lee", 13493 "Moonlight Cocktail", 13494 "Coming Up", 13495 "Pop Muzik", 13496 "As Time Goes By", 13497 "My Eyes Adored You", 13498 "Strawberry Fields Forever", 13499 "Some of These Days", 13500 "I Think I Love You", 13501 "Judy in Disguise (With Glasses)", 13502 "All Along the Watchtower", 13503 "A Thousand Miles", 13504 "Fast Car", 13505 "Red Red Wine", 13506 "Live & Let Die", 13507 "Come On Eileen", 13508 "Right Back Where We Started From", 13509 "Brother Louie", 13510 "Ol' Man River", 13511 "Band On the Run", 13512 "Rich Girl", 13513 "Green River", 13514 "Got to Give it Up", 13515 "Behind Closed Doors", 13516 "Don't Go Breaking My Heart", 13517 "I'm Looking Over a Four Leaf Clover", 13518 "Mr Big Stuff", 13519 "Tiger Rag", 13520 "Kryptonite", 13521 "Hey Paula", 13522 "Go Your Own Way", 13523 "Big Bad John", 13524 "Wake Me Up Before You Go Go", 13525 "Tangerine", 13526 "Wayward Wind", 13527 "Disco Lady", 13528 "Spanish Harlem", 13529 "Wicked Game", 13530 "Rosanna", 13531 "Papa Don't Preach", 13532 "Somebody to Love", 13533 "Kokomo", 13534 "Manana (Is Soon Enough For Me)", 13535 "Puttin' on the Ritz", 13536 "One More Try", 13537 "I'll Walk Alone", 13538 "Shout", 13539 "Woman", 13540 "Ballerina", 13541 "We Built This City", 13542 "19th Nervous Breakdown", 13543 "Working My Way Back to You", 13544 "Superstar", 13545 "Foolish Games", 13546 "Get Down Tonight", 13547 "On Bended Knee", 13548 "Magic Carpet Ride", 13549 "Only You (And You Alone)", 13550 "A String of Pearls", 13551 "A Tree in the Meadow", 13552 "So Much in Love", 13553 "Every Little Thing She Does is Magic", 13554 "La Bamba", 13555 "Tighten Up", 13556 "Three Times a Lady", 13557 "Airplanes", 13558 "Wild Thing", 13559 "Don't Leave Me This Way", 13560 "Rock the Casbah", 13561 "Feel Good Inc", 13562 "Love Me Do", 13563 "Kiss On My List", 13564 "Give Me Everything", 13565 "Have You Ever Really Loved a Woman?", 13566 "Love Letters in the Sand", 13567 "Ring My Bell", 13568 "Love Child", 13569 "I Feel For You", 13570 "Bye", 13571 "(Let Me Be Your) Teddy Bear", 13572 "Soldier Boy", 13573 "Papa's Got a Brand New Bag", 13574 "Love Hangover", 13575 "Venus", 13576 "Spill the Wine", 13577 "Royals", 13578 "April Showers", 13579 "Don't You (Forget About Me)", 13580 "Travellin' Man", 13581 "The Thing", 13582 "You Make Me Feel Brand New", 13583 "The Glow-Worm", 13584 "You Don't Bring Me Flowers", 13585 "Summertime Blues", 13586 "Straight Up", 13587 "Sunday", 13588 "Wake Up Little Susie", 13589 "She's a Lady", 13590 "Over There", 13591 "Little Darlin", 13592 "Rag Mop", 13593 "Shake Down", 13594 "Up Around the Bend", 13595 "Harbour Lights", 13596 "Chances Are", 13597 "Mood Indigo", 13598 "Pony Time", 13599 "After You've Gone", 13600 "I Wanna Love You", 13601 "Da Doo Ron Ron (When He Walked Me Home)", 13602 "If You Don't Know Me By Now", 13603 "Green Tambourine", 13604 "My Man", 13605 "If I Didn't Care", 13606 "St George & the Dragonette", 13607 "Why Don't You Believe Me?", 13608 "How Will I Know", 13609 "Disco Duck", 13610 "Lonely Boy", 13611 "Never Gonna Give You Up", 13612 "Before The Next Teardrop Falls", 13613 "Running Scared", 13614 "Let's Hear it For the Boy", 13615 "Sleep Walk", 13616 "Walk On the Wild Side", 13617 "Memories Are Made of This", 13618 "Open Arms", 13619 "Stuck On You", 13620 "Personality", 13621 "Feel Like Making Love", 13622 "Stars & Stripes Forever", 13623 "Besame Mucho", 13624 "Let Me Call You Sweetheart", 13625 "La Bamba", 13626 "Indian Reservation (The Lament Of The Cherokee Reservation Indian)", 13627 "Cars", 13628 "You Make Me Feel Like Dancing", 13629 "Whatcha Say", 13630 "Me & Mrs Jones", 13631 "Bitter Sweet Symphony", 13632 "Uncle Albert (Admiral Halsey)", 13633 "More Than a Feeling", 13634 "My Boyfriend's Back", 13635 "People", 13636 "He'll Have to Go", 13637 "I Can Help", 13638 "The Streak", 13639 "Dreams", 13640 "Hair", 13641 "Cold", 13642 "Nothin' on You", 13643 "The End of the World", 13644 "Caldonia Boogie (What Makes Your Big Head So Hard)", 13645 "I Kissed A Girl", 13646 "Incense & Peppermints", 13647 "12th Street Rag", 13648 "West End Blues", 13649 "The Way You Move", 13650 "Smoke Gets in Your Eyes", 13651 "Want Ads", 13652 "Long Cool Woman in a Black Dress", 13653 "Hey Baby", 13654 "(Your Love Keeps Lifting Me) Higher & Higher", 13655 "He's a Rebel", 13656 "Alone", 13657 "Thrift Shop", 13658 "Don't Let the Sun Go Down On Me", 13659 "The Sweet Escape", 13660 "Return to Sender", 13661 "Here in My Heart", 13662 "Wabash Cannonball", 13663 "Ain't That a Shame", 13664 "Travellin' Band", 13665 "I'm Your Boogie Man", 13666 "I Write the Songs", 13667 "This Love", 13668 "Lights", 13669 "Will It Go Round In Circles", 13670 "Purple Haze", 13671 "Rock Your Baby", 13672 "Delicado", 13673 "Tammy", 13674 "Check On It", 13675 "Breaking Up is Hard to Do", 13676 "1999", 13677 "Prisoner of Love", 13678 "Wild Wild West", 13679 "Walk Like a Man", 13680 "Ain't No Mountain High Enough", 13681 "I Will Follow Him", 13682 "Glamorous", 13683 "Yellow Rose of Texas", 13684 "That Old Black Magic", 13685 "I'm So Lonesome I Could Cry", 13686 "Up Up & Away", 13687 "Baby Come Back", 13688 "Let it Snow! Let it Snow! Let it Snow!", 13689 "Pon De Replay", 13690 "Because I Love You (The Postman Song)", 13691 "Sleepy Lagoon", 13692 "Baker Street", 13693 "Dardanella", 13694 "You Don't Have to Be a Star (To Be in My Show)", 13695 "Leaving", 13696 "Glory of Love", 13697 "Theme From 'Greatest American Hero' (Believe It Or Not)", 13698 "Shake You Down", 13699 "Ole Buttermilk Sky", 13700 "I Can't Get Started", 13701 "Freak Me", 13702 "Hot Child In The City", 13703 "Man in the Mirror", 13704 "Queen of Hearts", 13705 "Let's Groove", 13706 "Change the World", 13707 "You make Me Wanna", 13708 "Someday", 13709 "Eve of Destruction", 13710 "One of Us", 13711 "Honky Tonk", 13712 "Be Bop a Lula", 13713 "Two Hearts", 13714 "Paper Planes" 13715 ]; 13716 return choice(data, this.rnd); 13717 } 13718 13719 /// 13720 string musicGenre() { 13721 auto data = [ 13722 "Rock", 13723 "Metal", 13724 "Pop", 13725 "Electronic", 13726 "Folk", 13727 "World", 13728 "Country", 13729 "Jazz", 13730 "Funk", 13731 "Soul", 13732 "Hip Hop", 13733 "Classical", 13734 "Latin", 13735 "Reggae", 13736 "Stage And Screen", 13737 "Blues", 13738 "Non Music", 13739 "Rap" 13740 ]; 13741 return choice(data, this.rnd); 13742 } 13743 13744 /// 13745 string commerceProductDescription() { 13746 auto data = [ 13747 "Ergonomic executive chair upholstered in bonded black leather and PVC padded seat and back for all-day comfort and support", 13748 "The automobile layout consists of a front-engine design", 13749 "with transaxle-type transmissions mounted at the rear of the engine and four wheel drive", 13750 "New ABC 13 9370", 13751 "13.3", 13752 "5th Gen CoreA5-8250U", 13753 "8GB RAM", 13754 "256GB SSD", 13755 "power UHD Graphics", 13756 "OS 10 Home", 13757 "OS Office A & J 2016", 13758 "The slim & simple Maple Gaming Keyboard from Dev Byte comes with a sleek body and 7- Color RGB LED Back-lighting for smart functionality", 13759 "The Apollotech B340 is an affordable wireless mouse with reliable connectivity", 13760 "12 months battery life and modern design", 13761 "The Nagasaki Lander is the trademarked name of several series of Nagasaki sport bikes", 13762 "that started with the 1984 ABC800J", 13763 "The Football Is Good For Training And Recreational Purposes", 13764 "Carbonite web goalkeeper gloves are ergonomically designed to give easy fit", 13765 "Boston's most advanced compression wear technology increases muscle oxygenation", 13766 "stabilizes active muscles", 13767 "New range of formal shirts are designed keeping you in mind. With fits and styling that will make you stand apart", 13768 "The beautiful range of Apple Naturalé that has an exciting mix of natural ingredients. With the Goodness of 100% Natural Ingredients", 13769 "Andy shoes are designed to keeping in mind durability as well as trends", 13770 "the most stylish range of shoes & sandals" 13771 ]; 13772 return choice(data, this.rnd); 13773 } 13774 13775 /// 13776 string commerceDepartment() { 13777 auto data = [ 13778 "Books", 13779 "Movies", 13780 "Music", 13781 "Games", 13782 "Electronics", 13783 "Computers", 13784 "Home", 13785 "Garden", 13786 "Tools", 13787 "Grocery", 13788 "Health", 13789 "Beauty", 13790 "Toys", 13791 "Kids", 13792 "Baby", 13793 "Clothing", 13794 "Shoes", 13795 "Jewelery", 13796 "Sports", 13797 "Outdoors", 13798 "Automotive", 13799 "Industrial" 13800 ]; 13801 return choice(data, this.rnd); 13802 } 13803 13804 /// 13805 string colorHuman() { 13806 auto data = [ 13807 "red", 13808 "green", 13809 "blue", 13810 "yellow", 13811 "purple", 13812 "mint green", 13813 "teal", 13814 "white", 13815 "black", 13816 "orange", 13817 "pink", 13818 "grey", 13819 "maroon", 13820 "violet", 13821 "turquoise", 13822 "tan", 13823 "sky blue", 13824 "salmon", 13825 "plum", 13826 "orchid", 13827 "olive", 13828 "magenta", 13829 "lime", 13830 "ivory", 13831 "indigo", 13832 "gold", 13833 "fuchsia", 13834 "cyan", 13835 "azure", 13836 "lavender", 13837 "silver" 13838 ]; 13839 return choice(data, this.rnd); 13840 } 13841 13842 /// 13843 string colorSpace() { 13844 auto data = [ 13845 "CIE 1931 XYZ", 13846 "CIEUVW", 13847 "Uniform Color Spaces (UCSs)", 13848 "CIELUV", 13849 "CIELAB", 13850 "HSLuv", 13851 "sRGB", 13852 "Adobe RGB", 13853 "Adobe Wide Gamut RGB", 13854 "Rec. 2100", 13855 "ProPhoto RGB Color Space", 13856 "scRGB", 13857 "DCI-P3", 13858 "Display-P3", 13859 "Rec. 601", 13860 "Rec. 709", 13861 "Academy Color Encoding System (ACES)", 13862 "Rec. 2020", 13863 "YPbPr", 13864 "YDbDr", 13865 "YIQ", 13866 "xvYCC", 13867 "sYCC", 13868 "HSV", 13869 "HSL", 13870 "HWB", 13871 "RGBA", 13872 "HSLA", 13873 "LCh", 13874 "CMY", 13875 "CMYK", 13876 "Munsell Color System", 13877 "Natural Color System (NSC)", 13878 "Pantone Matching System (PMS)", 13879 "RAL", 13880 "Federal Standard 595C", 13881 "British Standard Colour (BS)", 13882 "HKS", 13883 "LMS", 13884 "RG", 13885 "RGK" 13886 ]; 13887 return choice(data, this.rnd); 13888 } 13889 13890 13891 string dateWeekday() { 13892 final switch(uniform(0, 36, this.rnd)) { 13893 case 0: return "wide: ["; 13894 case 1: return "Sunday"; 13895 case 2: return "Monday"; 13896 case 3: return "Tuesday"; 13897 case 4: return "Wednesday"; 13898 case 5: return "Thursday"; 13899 case 6: return "Friday"; 13900 case 7: return "Saturday"; 13901 case 8: return "]"; 13902 case 9: return "if not set then \"wide\" will be used instead"; 13903 case 10: return "which may differ from a stand-alone word"; 13904 case 11: return "wide_context: ["; 13905 case 12: return "Sunday"; 13906 case 13: return "Monday"; 13907 case 14: return "Tuesday"; 13908 case 15: return "Wednesday"; 13909 case 16: return "Thursday"; 13910 case 17: return "Friday"; 13911 case 18: return "Saturday"; 13912 case 19: return "]"; 13913 case 20: return "abbr: ['Sun"; 13914 case 21: return "Mon"; 13915 case 22: return "Tue"; 13916 case 23: return "Wed"; 13917 case 24: return "Thu"; 13918 case 25: return "Fri"; 13919 case 26: return "Sat']"; 13920 case 27: return "if not set then \"abbr\" will be used instead"; 13921 case 28: return "which may differ from a stand-alone word"; 13922 case 29: return "abbr_context: ['Sun"; 13923 case 30: return "Mon"; 13924 case 31: return "Tue"; 13925 case 32: return "Wed"; 13926 case 33: return "Thu"; 13927 case 34: return "Fri"; 13928 case 35: return "Sat']"; 13929 } 13930 } 13931 13932 13933 string dateMonth() { 13934 final switch(uniform(0, 60, this.rnd)) { 13935 case 0: return "wide: ["; 13936 case 1: return "January"; 13937 case 2: return "February"; 13938 case 3: return "March"; 13939 case 4: return "April"; 13940 case 5: return "May"; 13941 case 6: return "June"; 13942 case 7: return "July"; 13943 case 8: return "August"; 13944 case 9: return "September"; 13945 case 10: return "October"; 13946 case 11: return "November"; 13947 case 12: return "December"; 13948 case 13: return "]"; 13949 case 14: return "if not set then \"wide\" will be used instead"; 13950 case 15: return "which may differ from a stand-alone word"; 13951 case 16: return "wide_context: ["; 13952 case 17: return "January"; 13953 case 18: return "February"; 13954 case 19: return "March"; 13955 case 20: return "April"; 13956 case 21: return "May"; 13957 case 22: return "June"; 13958 case 23: return "July"; 13959 case 24: return "August"; 13960 case 25: return "September"; 13961 case 26: return "October"; 13962 case 27: return "November"; 13963 case 28: return "December"; 13964 case 29: return "]"; 13965 case 30: return "abbr: ["; 13966 case 31: return "Jan"; 13967 case 32: return "Feb"; 13968 case 33: return "Mar"; 13969 case 34: return "Apr"; 13970 case 35: return "May"; 13971 case 36: return "Jun"; 13972 case 37: return "Jul"; 13973 case 38: return "Aug"; 13974 case 39: return "Sep"; 13975 case 40: return "Oct"; 13976 case 41: return "Nov"; 13977 case 42: return "Dec"; 13978 case 43: return "]"; 13979 case 44: return "if not set then \"abbr\" will be used instead"; 13980 case 45: return "which may differ from a stand-alone word"; 13981 case 46: return "abbr_context: ["; 13982 case 47: return "Jan"; 13983 case 48: return "Feb"; 13984 case 49: return "Mar"; 13985 case 50: return "Apr"; 13986 case 51: return "May"; 13987 case 52: return "Jun"; 13988 case 53: return "Jul"; 13989 case 54: return "Aug"; 13990 case 55: return "Sep"; 13991 case 56: return "Oct"; 13992 case 57: return "Nov"; 13993 case 58: return "Dec"; 13994 case 59: return "]"; 13995 } 13996 } 13997 13998 /// 13999 string addressCityName() { 14000 auto data = [ 14001 "Abilene", 14002 "Akron", 14003 "Alafaya", 14004 "Alameda", 14005 "Albany", 14006 "Albany", 14007 "Albany", 14008 "Albuquerque", 14009 "Alexandria", 14010 "Alexandria", 14011 "Alhambra", 14012 "Aliso Viejo", 14013 "Allen", 14014 "Allentown", 14015 "Aloha", 14016 "Alpharetta", 14017 "Altadena", 14018 "Altamonte Springs", 14019 "Altoona", 14020 "Amarillo", 14021 "Ames", 14022 "Anaheim", 14023 "Anchorage", 14024 "Anderson", 14025 "Ankeny", 14026 "Ann Arbor", 14027 "Annandale", 14028 "Antelope", 14029 "Antioch", 14030 "Apex", 14031 "Apopka", 14032 "Apple Valley", 14033 "Apple Valley", 14034 "Appleton", 14035 "Arcadia", 14036 "Arden-Arcade", 14037 "Arecibo", 14038 "Arlington", 14039 "Arlington", 14040 "Arlington", 14041 "Arlington Heights", 14042 "Arvada", 14043 "Ashburn", 14044 "Asheville", 14045 "Aspen Hill", 14046 "Atascocita", 14047 "Athens-Clarke County", 14048 "Atlanta", 14049 "Attleboro", 14050 "Auburn", 14051 "Auburn", 14052 "Augusta-Richmond County", 14053 "Aurora", 14054 "Aurora", 14055 "Austin", 14056 "Avondale", 14057 "Azusa", 14058 "Bakersfield", 14059 "Baldwin Park", 14060 "Baltimore", 14061 "Barnstable Town", 14062 "Bartlett", 14063 "Bartlett", 14064 "Baton Rouge", 14065 "Battle Creek", 14066 "Bayamon", 14067 "Bayonne", 14068 "Baytown", 14069 "Beaumont", 14070 "Beaumont", 14071 "Beavercreek", 14072 "Beaverton", 14073 "Bedford", 14074 "Bel Air South", 14075 "Bell Gardens", 14076 "Belleville", 14077 "Bellevue", 14078 "Bellevue", 14079 "Bellflower", 14080 "Bellingham", 14081 "Bend", 14082 "Bentonville", 14083 "Berkeley", 14084 "Berwyn", 14085 "Bethesda", 14086 "Bethlehem", 14087 "Billings", 14088 "Biloxi", 14089 "Binghamton", 14090 "Birmingham", 14091 "Bismarck", 14092 "Blacksburg", 14093 "Blaine", 14094 "Bloomington", 14095 "Bloomington", 14096 "Bloomington", 14097 "Blue Springs", 14098 "Boca Raton", 14099 "Boise City", 14100 "Bolingbrook", 14101 "Bonita Springs", 14102 "Bossier City", 14103 "Boston", 14104 "Bothell", 14105 "Boulder", 14106 "Bountiful", 14107 "Bowie", 14108 "Bowling Green", 14109 "Boynton Beach", 14110 "Bozeman", 14111 "Bradenton", 14112 "Brandon", 14113 "Brentwood", 14114 "Brentwood", 14115 "Bridgeport", 14116 "Bristol", 14117 "Brockton", 14118 "Broken Arrow", 14119 "Brookhaven", 14120 "Brookline", 14121 "Brooklyn Park", 14122 "Broomfield", 14123 "Brownsville", 14124 "Bryan", 14125 "Buckeye", 14126 "Buena Park", 14127 "Buffalo", 14128 "Buffalo Grove", 14129 "Burbank", 14130 "Burien", 14131 "Burke", 14132 "Burleson", 14133 "Burlington", 14134 "Burlington", 14135 "Burnsville", 14136 "Caguas", 14137 "Caldwell", 14138 "Camarillo", 14139 "Cambridge", 14140 "Camden", 14141 "Canton", 14142 "Cape Coral", 14143 "Carlsbad", 14144 "Carmel", 14145 "Carmichael", 14146 "Carolina", 14147 "Carrollton", 14148 "Carson", 14149 "Carson City", 14150 "Cary", 14151 "Casa Grande", 14152 "Casas Adobes", 14153 "Casper", 14154 "Castle Rock", 14155 "Castro Valley", 14156 "Catalina Foothills", 14157 "Cathedral City", 14158 "Catonsville", 14159 "Cedar Hill", 14160 "Cedar Park", 14161 "Cedar Rapids", 14162 "Centennial", 14163 "Centreville", 14164 "Ceres", 14165 "Cerritos", 14166 "Champaign", 14167 "Chandler", 14168 "Chapel Hill", 14169 "Charleston", 14170 "Charleston", 14171 "Charlotte", 14172 "Charlottesville", 14173 "Chattanooga", 14174 "Cheektowaga", 14175 "Chesapeake", 14176 "Chesterfield", 14177 "Cheyenne", 14178 "Chicago", 14179 "Chico", 14180 "Chicopee", 14181 "Chino", 14182 "Chino Hills", 14183 "Chula Vista", 14184 "Cicero", 14185 "Cincinnati", 14186 "Citrus Heights", 14187 "Clarksville", 14188 "Clearwater", 14189 "Cleveland", 14190 "Cleveland", 14191 "Cleveland Heights", 14192 "Clifton", 14193 "Clovis", 14194 "Coachella", 14195 "Coconut Creek", 14196 "Coeur d'Alene", 14197 "College Station", 14198 "Collierville", 14199 "Colorado Springs", 14200 "Colton", 14201 "Columbia", 14202 "Columbia", 14203 "Columbia", 14204 "Columbus", 14205 "Columbus", 14206 "Columbus", 14207 "Commerce City", 14208 "Compton", 14209 "Concord", 14210 "Concord", 14211 "Concord", 14212 "Conroe", 14213 "Conway", 14214 "Coon Rapids", 14215 "Coral Gables", 14216 "Coral Springs", 14217 "Corona", 14218 "Corpus Christi", 14219 "Corvallis", 14220 "Costa Mesa", 14221 "Council Bluffs", 14222 "Country Club", 14223 "Covina", 14224 "Cranston", 14225 "Cupertino", 14226 "Cutler Bay", 14227 "Cuyahoga Falls", 14228 "Cypress", 14229 "Dale City", 14230 "Dallas", 14231 "Daly City", 14232 "Danbury", 14233 "Danville", 14234 "Danville", 14235 "Davenport", 14236 "Davie", 14237 "Davis", 14238 "Dayton", 14239 "Daytona Beach", 14240 "DeKalb", 14241 "DeSoto", 14242 "Dearborn", 14243 "Dearborn Heights", 14244 "Decatur", 14245 "Decatur", 14246 "Deerfield Beach", 14247 "Delano", 14248 "Delray Beach", 14249 "Deltona", 14250 "Denton", 14251 "Denver", 14252 "Des Moines", 14253 "Des Plaines", 14254 "Detroit", 14255 "Diamond Bar", 14256 "Doral", 14257 "Dothan", 14258 "Downers Grove", 14259 "Downey", 14260 "Draper", 14261 "Dublin", 14262 "Dublin", 14263 "Dubuque", 14264 "Duluth", 14265 "Dundalk", 14266 "Dunwoody", 14267 "Durham", 14268 "Eagan", 14269 "East Hartford", 14270 "East Honolulu", 14271 "East Lansing", 14272 "East Los Angeles", 14273 "East Orange", 14274 "East Providence", 14275 "Eastvale", 14276 "Eau Claire", 14277 "Eden Prairie", 14278 "Edina", 14279 "Edinburg", 14280 "Edmond", 14281 "El Cajon", 14282 "El Centro", 14283 "El Dorado Hills", 14284 "El Monte", 14285 "El Paso", 14286 "Elgin", 14287 "Elizabeth", 14288 "Elk Grove", 14289 "Elkhart", 14290 "Ellicott City", 14291 "Elmhurst", 14292 "Elyria", 14293 "Encinitas", 14294 "Enid", 14295 "Enterprise", 14296 "Erie", 14297 "Escondido", 14298 "Euclid", 14299 "Eugene", 14300 "Euless", 14301 "Evanston", 14302 "Evansville", 14303 "Everett", 14304 "Everett", 14305 "Fairfield", 14306 "Fairfield", 14307 "Fall River", 14308 "Fargo", 14309 "Farmington", 14310 "Farmington Hills", 14311 "Fayetteville", 14312 "Fayetteville", 14313 "Federal Way", 14314 "Findlay", 14315 "Fishers", 14316 "Flagstaff", 14317 "Flint", 14318 "Florence-Graham", 14319 "Florin", 14320 "Florissant", 14321 "Flower Mound", 14322 "Folsom", 14323 "Fond du Lac", 14324 "Fontana", 14325 "Fort Collins", 14326 "Fort Lauderdale", 14327 "Fort Myers", 14328 "Fort Pierce", 14329 "Fort Smith", 14330 "Fort Wayne", 14331 "Fort Worth", 14332 "Fountain Valley", 14333 "Fountainebleau", 14334 "Framingham", 14335 "Franklin", 14336 "Frederick", 14337 "Freeport", 14338 "Fremont", 14339 "Fresno", 14340 "Frisco", 14341 "Fullerton", 14342 "Gainesville", 14343 "Gaithersburg", 14344 "Galveston", 14345 "Garden Grove", 14346 "Gardena", 14347 "Garland", 14348 "Gary", 14349 "Gastonia", 14350 "Georgetown", 14351 "Germantown", 14352 "Gilbert", 14353 "Gilroy", 14354 "Glen Burnie", 14355 "Glendale", 14356 "Glendale", 14357 "Glendora", 14358 "Glenview", 14359 "Goodyear", 14360 "Grand Forks", 14361 "Grand Island", 14362 "Grand Junction", 14363 "Grand Prairie", 14364 "Grand Rapids", 14365 "Grapevine", 14366 "Great Falls", 14367 "Greeley", 14368 "Green Bay", 14369 "Greensboro", 14370 "Greenville", 14371 "Greenville", 14372 "Greenwood", 14373 "Gresham", 14374 "Guaynabo", 14375 "Gulfport", 14376 "Hacienda Heights", 14377 "Hackensack", 14378 "Haltom City", 14379 "Hamilton", 14380 "Hammond", 14381 "Hampton", 14382 "Hanford", 14383 "Harlingen", 14384 "Harrisburg", 14385 "Harrisonburg", 14386 "Hartford", 14387 "Hattiesburg", 14388 "Haverhill", 14389 "Hawthorne", 14390 "Hayward", 14391 "Hemet", 14392 "Hempstead", 14393 "Henderson", 14394 "Hendersonville", 14395 "Hesperia", 14396 "Hialeah", 14397 "Hicksville", 14398 "High Point", 14399 "Highland", 14400 "Highlands Ranch", 14401 "Hillsboro", 14402 "Hilo", 14403 "Hoboken", 14404 "Hoffman Estates", 14405 "Hollywood", 14406 "Homestead", 14407 "Honolulu", 14408 "Hoover", 14409 "Houston", 14410 "Huntersville", 14411 "Huntington", 14412 "Huntington Beach", 14413 "Huntington Park", 14414 "Huntsville", 14415 "Hutchinson", 14416 "Idaho Falls", 14417 "Independence", 14418 "Indianapolis", 14419 "Indio", 14420 "Inglewood", 14421 "Iowa City", 14422 "Irondequoit", 14423 "Irvine", 14424 "Irving", 14425 "Jackson", 14426 "Jackson", 14427 "Jacksonville", 14428 "Jacksonville", 14429 "Janesville", 14430 "Jefferson City", 14431 "Jeffersonville", 14432 "Jersey City", 14433 "Johns Creek", 14434 "Johnson City", 14435 "Joliet", 14436 "Jonesboro", 14437 "Joplin", 14438 "Jupiter", 14439 "Jurupa Valley", 14440 "Kalamazoo", 14441 "Kannapolis", 14442 "Kansas City", 14443 "Kansas City", 14444 "Kearny", 14445 "Keller", 14446 "Kendale Lakes", 14447 "Kendall", 14448 "Kenner", 14449 "Kennewick", 14450 "Kenosha", 14451 "Kent", 14452 "Kentwood", 14453 "Kettering", 14454 "Killeen", 14455 "Kingsport", 14456 "Kirkland", 14457 "Kissimmee", 14458 "Knoxville", 14459 "Kokomo", 14460 "La Crosse", 14461 "La Habra", 14462 "La Mesa", 14463 "La Mirada", 14464 "Lacey", 14465 "Lafayette", 14466 "Lafayette", 14467 "Laguna Niguel", 14468 "Lake Charles", 14469 "Lake Elsinore", 14470 "Lake Forest", 14471 "Lake Havasu City", 14472 "Lake Ridge", 14473 "Lakeland", 14474 "Lakeville", 14475 "Lakewood", 14476 "Lakewood", 14477 "Lakewood", 14478 "Lakewood", 14479 "Lakewood", 14480 "Lancaster", 14481 "Lancaster", 14482 "Lansing", 14483 "Laredo", 14484 "Largo", 14485 "Las Cruces", 14486 "Las Vegas", 14487 "Lauderhill", 14488 "Lawrence", 14489 "Lawrence", 14490 "Lawrence", 14491 "Lawton", 14492 "Layton", 14493 "League City", 14494 "Lee's Summit", 14495 "Leesburg", 14496 "Lehi", 14497 "Lehigh Acres", 14498 "Lenexa", 14499 "Levittown", 14500 "Levittown", 14501 "Lewisville", 14502 "Lexington-Fayette", 14503 "Lincoln", 14504 "Lincoln", 14505 "Linden", 14506 "Little Rock", 14507 "Littleton", 14508 "Livermore", 14509 "Livonia", 14510 "Lodi", 14511 "Logan", 14512 "Lombard", 14513 "Lompoc", 14514 "Long Beach", 14515 "Longmont", 14516 "Longview", 14517 "Lorain", 14518 "Los Angeles", 14519 "Louisville/Jefferson County", 14520 "Loveland", 14521 "Lowell", 14522 "Lubbock", 14523 "Lynchburg", 14524 "Lynn", 14525 "Lynwood", 14526 "Macon-Bibb County", 14527 "Madera", 14528 "Madison", 14529 "Madison", 14530 "Malden", 14531 "Manchester", 14532 "Manhattan", 14533 "Mansfield", 14534 "Mansfield", 14535 "Manteca", 14536 "Maple Grove", 14537 "Margate", 14538 "Maricopa", 14539 "Marietta", 14540 "Marysville", 14541 "Mayaguez", 14542 "McAllen", 14543 "McKinney", 14544 "McLean", 14545 "Medford", 14546 "Medford", 14547 "Melbourne", 14548 "Memphis", 14549 "Menifee", 14550 "Mentor", 14551 "Merced", 14552 "Meriden", 14553 "Meridian", 14554 "Mesa", 14555 "Mesquite", 14556 "Metairie", 14557 "Methuen Town", 14558 "Miami", 14559 "Miami Beach", 14560 "Miami Gardens", 14561 "Middletown", 14562 "Middletown", 14563 "Midland", 14564 "Midland", 14565 "Midwest City", 14566 "Milford", 14567 "Millcreek", 14568 "Milpitas", 14569 "Milwaukee", 14570 "Minneapolis", 14571 "Minnetonka", 14572 "Minot", 14573 "Miramar", 14574 "Mishawaka", 14575 "Mission", 14576 "Mission Viejo", 14577 "Missoula", 14578 "Missouri City", 14579 "Mobile", 14580 "Modesto", 14581 "Moline", 14582 "Monroe", 14583 "Montebello", 14584 "Monterey Park", 14585 "Montgomery", 14586 "Moore", 14587 "Moreno Valley", 14588 "Morgan Hill", 14589 "Mount Pleasant", 14590 "Mount Prospect", 14591 "Mount Vernon", 14592 "Mountain View", 14593 "Muncie", 14594 "Murfreesboro", 14595 "Murray", 14596 "Murrieta", 14597 "Nampa", 14598 "Napa", 14599 "Naperville", 14600 "Nashua", 14601 "Nashville-Davidson", 14602 "National City", 14603 "New Bedford", 14604 "New Braunfels", 14605 "New Britain", 14606 "New Brunswick", 14607 "New Haven", 14608 "New Orleans", 14609 "New Rochelle", 14610 "New York", 14611 "Newark", 14612 "Newark", 14613 "Newark", 14614 "Newport Beach", 14615 "Newport News", 14616 "Newton", 14617 "Niagara Falls", 14618 "Noblesville", 14619 "Norfolk", 14620 "Normal", 14621 "Norman", 14622 "North Bethesda", 14623 "North Charleston", 14624 "North Highlands", 14625 "North Las Vegas", 14626 "North Lauderdale", 14627 "North Little Rock", 14628 "North Miami", 14629 "North Miami Beach", 14630 "North Port", 14631 "North Richland Hills", 14632 "Norwalk", 14633 "Norwalk", 14634 "Novato", 14635 "Novi", 14636 "O'Fallon", 14637 "Oak Lawn", 14638 "Oak Park", 14639 "Oakland", 14640 "Oakland Park", 14641 "Ocala", 14642 "Oceanside", 14643 "Odessa", 14644 "Ogden", 14645 "Oklahoma City", 14646 "Olathe", 14647 "Olympia", 14648 "Omaha", 14649 "Ontario", 14650 "Orange", 14651 "Orem", 14652 "Orland Park", 14653 "Orlando", 14654 "Oro Valley", 14655 "Oshkosh", 14656 "Overland Park", 14657 "Owensboro", 14658 "Oxnard", 14659 "Palatine", 14660 "Palm Bay", 14661 "Palm Beach Gardens", 14662 "Palm Coast", 14663 "Palm Desert", 14664 "Palm Harbor", 14665 "Palm Springs", 14666 "Palmdale", 14667 "Palo Alto", 14668 "Paradise", 14669 "Paramount", 14670 "Parker", 14671 "Parma", 14672 "Pasadena", 14673 "Pasadena", 14674 "Pasco", 14675 "Passaic", 14676 "Paterson", 14677 "Pawtucket", 14678 "Peabody", 14679 "Pearl City", 14680 "Pearland", 14681 "Pembroke Pines", 14682 "Pensacola", 14683 "Peoria", 14684 "Peoria", 14685 "Perris", 14686 "Perth Amboy", 14687 "Petaluma", 14688 "Pflugerville", 14689 "Pharr", 14690 "Philadelphia", 14691 "Phoenix", 14692 "Pico Rivera", 14693 "Pine Bluff", 14694 "Pine Hills", 14695 "Pinellas Park", 14696 "Pittsburg", 14697 "Pittsburgh", 14698 "Pittsfield", 14699 "Placentia", 14700 "Plainfield", 14701 "Plainfield", 14702 "Plano", 14703 "Plantation", 14704 "Pleasanton", 14705 "Plymouth", 14706 "Pocatello", 14707 "Poinciana", 14708 "Pomona", 14709 "Pompano Beach", 14710 "Ponce", 14711 "Pontiac", 14712 "Port Arthur", 14713 "Port Charlotte", 14714 "Port Orange", 14715 "Port St. Lucie", 14716 "Portage", 14717 "Porterville", 14718 "Portland", 14719 "Portland", 14720 "Portsmouth", 14721 "Potomac", 14722 "Poway", 14723 "Providence", 14724 "Provo", 14725 "Pueblo", 14726 "Quincy", 14727 "Racine", 14728 "Raleigh", 14729 "Rancho Cordova", 14730 "Rancho Cucamonga", 14731 "Rancho Palos Verdes", 14732 "Rancho Santa Margarita", 14733 "Rapid City", 14734 "Reading", 14735 "Redding", 14736 "Redlands", 14737 "Redmond", 14738 "Redondo Beach", 14739 "Redwood City", 14740 "Reno", 14741 "Renton", 14742 "Reston", 14743 "Revere", 14744 "Rialto", 14745 "Richardson", 14746 "Richland", 14747 "Richmond", 14748 "Richmond", 14749 "Rio Rancho", 14750 "Riverside", 14751 "Riverton", 14752 "Riverview", 14753 "Roanoke", 14754 "Rochester", 14755 "Rochester", 14756 "Rochester Hills", 14757 "Rock Hill", 14758 "Rockford", 14759 "Rocklin", 14760 "Rockville", 14761 "Rockwall", 14762 "Rocky Mount", 14763 "Rogers", 14764 "Rohnert Park", 14765 "Rosemead", 14766 "Roseville", 14767 "Roseville", 14768 "Roswell", 14769 "Roswell", 14770 "Round Rock", 14771 "Rowland Heights", 14772 "Rowlett", 14773 "Royal Oak", 14774 "Sacramento", 14775 "Saginaw", 14776 "Salem", 14777 "Salem", 14778 "Salina", 14779 "Salinas", 14780 "Salt Lake City", 14781 "Sammamish", 14782 "San Angelo", 14783 "San Antonio", 14784 "San Bernardino", 14785 "San Bruno", 14786 "San Buenaventura (Ventura)", 14787 "San Clemente", 14788 "San Diego", 14789 "San Francisco", 14790 "San Jacinto", 14791 "San Jose", 14792 "San Juan", 14793 "San Leandro", 14794 "San Luis Obispo", 14795 "San Marcos", 14796 "San Marcos", 14797 "San Mateo", 14798 "San Rafael", 14799 "San Ramon", 14800 "San Tan Valley", 14801 "Sandy", 14802 "Sandy Springs", 14803 "Sanford", 14804 "Santa Ana", 14805 "Santa Barbara", 14806 "Santa Clara", 14807 "Santa Clarita", 14808 "Santa Cruz", 14809 "Santa Fe", 14810 "Santa Maria", 14811 "Santa Monica", 14812 "Santa Rosa", 14813 "Santee", 14814 "Sarasota", 14815 "Savannah", 14816 "Sayreville", 14817 "Schaumburg", 14818 "Schenectady", 14819 "Scottsdale", 14820 "Scranton", 14821 "Seattle", 14822 "Severn", 14823 "Shawnee", 14824 "Sheboygan", 14825 "Shoreline", 14826 "Shreveport", 14827 "Sierra Vista", 14828 "Silver Spring", 14829 "Simi Valley", 14830 "Sioux City", 14831 "Sioux Falls", 14832 "Skokie", 14833 "Smyrna", 14834 "Smyrna", 14835 "Somerville", 14836 "South Bend", 14837 "South Gate", 14838 "South Hill", 14839 "South Jordan", 14840 "South San Francisco", 14841 "South Valley", 14842 "South Whittier", 14843 "Southaven", 14844 "Southfield", 14845 "Sparks", 14846 "Spokane", 14847 "Spokane Valley", 14848 "Spring", 14849 "Spring Hill", 14850 "Spring Valley", 14851 "Springdale", 14852 "Springfield", 14853 "Springfield", 14854 "Springfield", 14855 "Springfield", 14856 "Springfield", 14857 "St. Charles", 14858 "St. Clair Shores", 14859 "St. Cloud", 14860 "St. Cloud", 14861 "St. George", 14862 "St. Joseph", 14863 "St. Louis", 14864 "St. Louis Park", 14865 "St. Paul", 14866 "St. Peters", 14867 "St. Petersburg", 14868 "Stamford", 14869 "State College", 14870 "Sterling Heights", 14871 "Stillwater", 14872 "Stockton", 14873 "Stratford", 14874 "Strongsville", 14875 "Suffolk", 14876 "Sugar Land", 14877 "Summerville", 14878 "Sunnyvale", 14879 "Sunrise", 14880 "Sunrise Manor", 14881 "Surprise", 14882 "Syracuse", 14883 "Tacoma", 14884 "Tallahassee", 14885 "Tamarac", 14886 "Tamiami", 14887 "Tampa", 14888 "Taunton", 14889 "Taylor", 14890 "Taylorsville", 14891 "Temecula", 14892 "Tempe", 14893 "Temple", 14894 "Terre Haute", 14895 "Texas City", 14896 "The Hammocks", 14897 "The Villages", 14898 "The Woodlands", 14899 "Thornton", 14900 "Thousand Oaks", 14901 "Tigard", 14902 "Tinley Park", 14903 "Titusville", 14904 "Toledo", 14905 "Toms River", 14906 "Tonawanda", 14907 "Topeka", 14908 "Torrance", 14909 "Town 'n' Country", 14910 "Towson", 14911 "Tracy", 14912 "Trenton", 14913 "Troy", 14914 "Troy", 14915 "Trujillo Alto", 14916 "Tuckahoe", 14917 "Tucson", 14918 "Tulare", 14919 "Tulsa", 14920 "Turlock", 14921 "Tuscaloosa", 14922 "Tustin", 14923 "Twin Falls", 14924 "Tyler", 14925 "Union City", 14926 "Union City", 14927 "University", 14928 "Upland", 14929 "Urbana", 14930 "Urbandale", 14931 "Utica", 14932 "Vacaville", 14933 "Valdosta", 14934 "Vallejo", 14935 "Vancouver", 14936 "Victoria", 14937 "Victorville", 14938 "Vineland", 14939 "Virginia Beach", 14940 "Visalia", 14941 "Vista", 14942 "Waco", 14943 "Waipahu", 14944 "Waldorf", 14945 "Walnut Creek", 14946 "Waltham", 14947 "Warner Robins", 14948 "Warren", 14949 "Warwick", 14950 "Washington", 14951 "Waterbury", 14952 "Waterloo", 14953 "Watsonville", 14954 "Waukegan", 14955 "Waukesha", 14956 "Wauwatosa", 14957 "Wellington", 14958 "Wesley Chapel", 14959 "West Allis", 14960 "West Babylon", 14961 "West Covina", 14962 "West Des Moines", 14963 "West Hartford", 14964 "West Haven", 14965 "West Jordan", 14966 "West Lafayette", 14967 "West New York", 14968 "West Palm Beach", 14969 "West Sacramento", 14970 "West Seneca", 14971 "West Valley City", 14972 "Westfield", 14973 "Westland", 14974 "Westminster", 14975 "Westminster", 14976 "Weston", 14977 "Weymouth Town", 14978 "Wheaton", 14979 "Wheaton", 14980 "White Plains", 14981 "Whittier", 14982 "Wichita", 14983 "Wichita Falls", 14984 "Wilmington", 14985 "Wilmington", 14986 "Wilson", 14987 "Winston-Salem", 14988 "Woodbury", 14989 "Woodland", 14990 "Worcester", 14991 "Wylie", 14992 "Wyoming", 14993 "Yakima", 14994 "Yonkers", 14995 "Yorba Linda", 14996 "York", 14997 "Youngstown", 14998 "Yuba City", 14999 "Yucaipa", 15000 "Yuma" 15001 ]; 15002 return choice(data, this.rnd); 15003 } 15004 15005 /// 15006 string addressStateAbbr() { 15007 auto data = [ 15008 "AL", 15009 "AK", 15010 "AZ", 15011 "AR", 15012 "CA", 15013 "CO", 15014 "CT", 15015 "DE", 15016 "FL", 15017 "GA", 15018 "HI", 15019 "ID", 15020 "IL", 15021 "IN", 15022 "IA", 15023 "KS", 15024 "KY", 15025 "LA", 15026 "ME", 15027 "MD", 15028 "MA", 15029 "MI", 15030 "MN", 15031 "MS", 15032 "MO", 15033 "MT", 15034 "NE", 15035 "NV", 15036 "NH", 15037 "NJ", 15038 "NM", 15039 "NY", 15040 "NC", 15041 "ND", 15042 "OH", 15043 "OK", 15044 "OR", 15045 "PA", 15046 "RI", 15047 "SC", 15048 "SD", 15049 "TN", 15050 "TX", 15051 "UT", 15052 "VT", 15053 "VA", 15054 "WA", 15055 "WV", 15056 "WI", 15057 "WY" 15058 ]; 15059 return choice(data, this.rnd); 15060 } 15061 15062 /// 15063 string addressState() { 15064 auto data = [ 15065 "Alabama", 15066 "Alaska", 15067 "Arizona", 15068 "Arkansas", 15069 "California", 15070 "Colorado", 15071 "Connecticut", 15072 "Delaware", 15073 "Florida", 15074 "Georgia", 15075 "Hawaii", 15076 "Idaho", 15077 "Illinois", 15078 "Indiana", 15079 "Iowa", 15080 "Kansas", 15081 "Kentucky", 15082 "Louisiana", 15083 "Maine", 15084 "Maryland", 15085 "Massachusetts", 15086 "Michigan", 15087 "Minnesota", 15088 "Mississippi", 15089 "Missouri", 15090 "Montana", 15091 "Nebraska", 15092 "Nevada", 15093 "New Hampshire", 15094 "New Jersey", 15095 "New Mexico", 15096 "New York", 15097 "North Carolina", 15098 "North Dakota", 15099 "Ohio", 15100 "Oklahoma", 15101 "Oregon", 15102 "Pennsylvania", 15103 "Rhode Island", 15104 "South Carolina", 15105 "South Dakota", 15106 "Tennessee", 15107 "Texas", 15108 "Utah", 15109 "Vermont", 15110 "Virginia", 15111 "Washington", 15112 "West Virginia", 15113 "Wisconsin", 15114 "Wyoming" 15115 ]; 15116 return choice(data, this.rnd); 15117 } 15118 15119 15120 string addressStreetAddress() { 15121 final switch(uniform(0, 2, this.rnd)) { 15122 case 0: return "normal: '" ~ addressBuildingNumber() ~ " " ~ addressStreet(); 15123 case 1: return "full: '" ~ addressBuildingNumber() ~ " " ~ addressStreet() ~ " " ~ addressSecondaryAddress(); 15124 } 15125 } 15126 15127 /// 15128 string addressCountryCodeAlpha3() { 15129 auto data = [ 15130 "BGD", 15131 "BEL", 15132 "BFA", 15133 "BGR", 15134 "BIH", 15135 "BRB", 15136 "WLF", 15137 "BLM", 15138 "BMU", 15139 "BRN", 15140 "BOL", 15141 "BHR", 15142 "BDI", 15143 "BEN", 15144 "BTN", 15145 "JAM", 15146 "BVT", 15147 "BWA", 15148 "WSM", 15149 "BES", 15150 "BRA", 15151 "BHS", 15152 "JEY", 15153 "BLR", 15154 "BLZ", 15155 "RUS", 15156 "RWA", 15157 "SRB", 15158 "TLS", 15159 "REU", 15160 "TKM", 15161 "TJK", 15162 "ROU", 15163 "TKL", 15164 "GNB", 15165 "GUM", 15166 "GTM", 15167 "SGS", 15168 "GRC", 15169 "GNQ", 15170 "GLP", 15171 "JPN", 15172 "GUY", 15173 "GGY", 15174 "GUF", 15175 "GEO", 15176 "GRD", 15177 "GBR", 15178 "GAB", 15179 "SLV", 15180 "GIN", 15181 "GMB", 15182 "GRL", 15183 "GIB", 15184 "GHA", 15185 "OMN", 15186 "TUN", 15187 "JOR", 15188 "HRV", 15189 "HTI", 15190 "HUN", 15191 "HKG", 15192 "HND", 15193 "HMD", 15194 "VEN", 15195 "PRI", 15196 "PSE", 15197 "PLW", 15198 "PRT", 15199 "SJM", 15200 "PRY", 15201 "IRQ", 15202 "PAN", 15203 "PYF", 15204 "PNG", 15205 "PER", 15206 "PAK", 15207 "PHL", 15208 "PCN", 15209 "POL", 15210 "SPM", 15211 "ZMB", 15212 "ESH", 15213 "EST", 15214 "EGY", 15215 "ZAF", 15216 "ECU", 15217 "ITA", 15218 "VNM", 15219 "SLB", 15220 "ETH", 15221 "SOM", 15222 "ZWE", 15223 "SAU", 15224 "ESP", 15225 "ERI", 15226 "MNE", 15227 "MDA", 15228 "MDG", 15229 "MAF", 15230 "MAR", 15231 "MCO", 15232 "UZB", 15233 "MMR", 15234 "MLI", 15235 "MAC", 15236 "MNG", 15237 "MHL", 15238 "MKD", 15239 "MUS", 15240 "MLT", 15241 "MWI", 15242 "MDV", 15243 "MTQ", 15244 "MNP", 15245 "MSR", 15246 "MRT", 15247 "IMN", 15248 "UGA", 15249 "TZA", 15250 "MYS", 15251 "MEX", 15252 "ISR", 15253 "FRA", 15254 "IOT", 15255 "SHN", 15256 "FIN", 15257 "FJI", 15258 "FLK", 15259 "FSM", 15260 "FRO", 15261 "NIC", 15262 "NLD", 15263 "NOR", 15264 "NAM", 15265 "VUT", 15266 "NCL", 15267 "NER", 15268 "NFK", 15269 "NGA", 15270 "NZL", 15271 "NPL", 15272 "NRU", 15273 "NIU", 15274 "COK", 15275 "XKX", 15276 "CIV", 15277 "CHE", 15278 "COL", 15279 "CHN", 15280 "CMR", 15281 "CHL", 15282 "CCK", 15283 "CAN", 15284 "COG", 15285 "CAF", 15286 "COD", 15287 "CZE", 15288 "CYP", 15289 "CXR", 15290 "CRI", 15291 "CUW", 15292 "CPV", 15293 "CUB", 15294 "SWZ", 15295 "SYR", 15296 "SXM", 15297 "KGZ", 15298 "KEN", 15299 "SSD", 15300 "SUR", 15301 "KIR", 15302 "KHM", 15303 "KNA", 15304 "COM", 15305 "STP", 15306 "SVK", 15307 "KOR", 15308 "SVN", 15309 "PRK", 15310 "KWT", 15311 "SEN", 15312 "SMR", 15313 "SLE", 15314 "SYC", 15315 "KAZ", 15316 "CYM", 15317 "SGP", 15318 "SWE", 15319 "SDN", 15320 "DOM", 15321 "DMA", 15322 "DJI", 15323 "DNK", 15324 "VGB", 15325 "DEU", 15326 "YEM", 15327 "DZA", 15328 "USA", 15329 "URY", 15330 "MYT", 15331 "UMI", 15332 "LBN", 15333 "LCA", 15334 "LAO", 15335 "TUV", 15336 "TWN", 15337 "TTO", 15338 "TUR", 15339 "LKA", 15340 "LIE", 15341 "LVA", 15342 "TON", 15343 "LTU", 15344 "LUX", 15345 "LBR", 15346 "LSO", 15347 "THA", 15348 "ATF", 15349 "TGO", 15350 "TCD", 15351 "TCA", 15352 "LBY", 15353 "VAT", 15354 "VCT", 15355 "ARE", 15356 "AND", 15357 "ATG", 15358 "AFG", 15359 "AIA", 15360 "VIR", 15361 "ISL", 15362 "IRN", 15363 "ARM", 15364 "ALB", 15365 "AGO", 15366 "ATA", 15367 "ASM", 15368 "ARG", 15369 "AUS", 15370 "AUT", 15371 "ABW", 15372 "IND", 15373 "ALA", 15374 "AZE", 15375 "IRL", 15376 "IDN", 15377 "UKR", 15378 "QAT", 15379 "MOZ" 15380 ]; 15381 return choice(data, this.rnd); 15382 } 15383 15384 /// 15385 string addressDirection() { 15386 auto data = [ 15387 "North", 15388 "East", 15389 "South", 15390 "West", 15391 "Northeast", 15392 "Northwest", 15393 "Southeast", 15394 "Southwest" 15395 ]; 15396 return choice(data, this.rnd); 15397 } 15398 15399 /// 15400 string addressCitySuffix() { 15401 auto data = [ 15402 "town", 15403 "ton", 15404 "land", 15405 "ville", 15406 "berg", 15407 "burgh", 15408 "boro", 15409 "borough", 15410 "bury", 15411 "view", 15412 "port", 15413 "mouth", 15414 "stad", 15415 "stead", 15416 "furt", 15417 "chester", 15418 "cester", 15419 "mouth", 15420 "fort", 15421 "field", 15422 "haven", 15423 "side", 15424 "shire", 15425 "worth" 15426 ]; 15427 return choice(data, this.rnd); 15428 } 15429 15430 /// 15431 string addressDefaultCountry() { 15432 auto data = [ 15433 "United States of America'" 15434 ]; 15435 return choice(data, this.rnd); 15436 } 15437 15438 /// 15439 string addressDirectionAbbr() { 15440 auto data = [ 15441 "N", 15442 "E", 15443 "S", 15444 "W", 15445 "NE", 15446 "NW", 15447 "SE", 15448 "SW'" 15449 ]; 15450 return choice(data, this.rnd); 15451 } 15452 15453 /// 15454 string addressCityPrefix() { 15455 auto data = [ 15456 "North", 15457 "East", 15458 "West", 15459 "South", 15460 "New", 15461 "Lake", 15462 "Port", 15463 "Fort" 15464 ]; 15465 return choice(data, this.rnd); 15466 } 15467 15468 /// 15469 string addressCounty() { 15470 auto data = [ 15471 "Avon", 15472 "Bedfordshire", 15473 "Berkshire", 15474 "Borders", 15475 "Buckinghamshire", 15476 "Cambridgeshire" 15477 ]; 15478 return choice(data, this.rnd); 15479 } 15480 15481 15482 string addressStreet() { 15483 final switch(uniform(0, 2, this.rnd)) { 15484 case 0: return nameFirstName() ~ " " ~ addressStreetSuffix(); 15485 case 1: return nameLastName() ~ " " ~ addressStreetSuffix(); 15486 } 15487 } 15488 15489 /// 15490 string addressCountry() { 15491 auto data = [ 15492 "Afghanistan", 15493 "Albania", 15494 "Algeria", 15495 "American Samoa", 15496 "Andorra", 15497 "Angola", 15498 "Anguilla", 15499 "Antarctica (the territory South of 60 deg S)", 15500 "Antigua and Barbuda", 15501 "Argentina", 15502 "Armenia", 15503 "Aruba", 15504 "Australia", 15505 "Austria", 15506 "Azerbaijan", 15507 "Bahamas", 15508 "Bahrain", 15509 "Bangladesh", 15510 "Barbados", 15511 "Belarus", 15512 "Belgium", 15513 "Belize", 15514 "Benin", 15515 "Bermuda", 15516 "Bhutan", 15517 "Bolivia", 15518 "Bosnia and Herzegovina", 15519 "Botswana", 15520 "Bouvet Island (Bouvetoya)", 15521 "Brazil", 15522 "British Indian Ocean Territory (Chagos Archipelago)", 15523 "Brunei Darussalam", 15524 "Bulgaria", 15525 "Burkina Faso", 15526 "Burundi", 15527 "Cambodia", 15528 "Cameroon", 15529 "Canada", 15530 "Cape Verde", 15531 "Cayman Islands", 15532 "Central African Republic", 15533 "Chad", 15534 "Chile", 15535 "China", 15536 "Christmas Island", 15537 "Cocos (Keeling) Islands", 15538 "Colombia", 15539 "Comoros", 15540 "Congo", 15541 "Cook Islands", 15542 "Costa Rica", 15543 "Cote d'Ivoire", 15544 "Croatia", 15545 "Cuba", 15546 "Cyprus", 15547 "Czech Republic", 15548 "Denmark", 15549 "Djibouti", 15550 "Dominica", 15551 "Dominican Republic", 15552 "Ecuador", 15553 "Egypt", 15554 "El Salvador", 15555 "Equatorial Guinea", 15556 "Eritrea", 15557 "Estonia", 15558 "Ethiopia", 15559 "Faroe Islands", 15560 "Falkland Islands (Malvinas)", 15561 "Fiji", 15562 "Finland", 15563 "France", 15564 "French Guiana", 15565 "French Polynesia", 15566 "French Southern Territories", 15567 "Gabon", 15568 "Gambia", 15569 "Georgia", 15570 "Germany", 15571 "Ghana", 15572 "Gibraltar", 15573 "Greece", 15574 "Greenland", 15575 "Grenada", 15576 "Guadeloupe", 15577 "Guam", 15578 "Guatemala", 15579 "Guernsey", 15580 "Guinea", 15581 "Guinea-Bissau", 15582 "Guyana", 15583 "Haiti", 15584 "Heard Island and McDonald Islands", 15585 "Holy See (Vatican City State)", 15586 "Honduras", 15587 "Hong Kong", 15588 "Hungary", 15589 "Iceland", 15590 "India", 15591 "Indonesia", 15592 "Iran", 15593 "Iraq", 15594 "Ireland", 15595 "Isle of Man", 15596 "Israel", 15597 "Italy", 15598 "Jamaica", 15599 "Japan", 15600 "Jersey", 15601 "Jordan", 15602 "Kazakhstan", 15603 "Kenya", 15604 "Kiribati", 15605 "Democratic People's Republic of Korea", 15606 "Republic of Korea", 15607 "Kuwait", 15608 "Kyrgyz Republic", 15609 "Lao People's Democratic Republic", 15610 "Latvia", 15611 "Lebanon", 15612 "Lesotho", 15613 "Liberia", 15614 "Libyan Arab Jamahiriya", 15615 "Liechtenstein", 15616 "Lithuania", 15617 "Luxembourg", 15618 "Macao", 15619 "Macedonia", 15620 "Madagascar", 15621 "Malawi", 15622 "Malaysia", 15623 "Maldives", 15624 "Mali", 15625 "Malta", 15626 "Marshall Islands", 15627 "Martinique", 15628 "Mauritania", 15629 "Mauritius", 15630 "Mayotte", 15631 "Mexico", 15632 "Micronesia", 15633 "Moldova", 15634 "Monaco", 15635 "Mongolia", 15636 "Montenegro", 15637 "Montserrat", 15638 "Morocco", 15639 "Mozambique", 15640 "Myanmar", 15641 "Namibia", 15642 "Nauru", 15643 "Nepal", 15644 "Netherlands Antilles", 15645 "Netherlands", 15646 "New Caledonia", 15647 "New Zealand", 15648 "Nicaragua", 15649 "Niger", 15650 "Nigeria", 15651 "Niue", 15652 "Norfolk Island", 15653 "Northern Mariana Islands", 15654 "Norway", 15655 "Oman", 15656 "Pakistan", 15657 "Palau", 15658 "Palestinian Territory", 15659 "Panama", 15660 "Papua New Guinea", 15661 "Paraguay", 15662 "Peru", 15663 "Philippines", 15664 "Pitcairn Islands", 15665 "Poland", 15666 "Portugal", 15667 "Puerto Rico", 15668 "Qatar", 15669 "Reunion", 15670 "Romania", 15671 "Russian Federation", 15672 "Rwanda", 15673 "Saint Barthelemy", 15674 "Saint Helena", 15675 "Saint Kitts and Nevis", 15676 "Saint Lucia", 15677 "Saint Martin", 15678 "Saint Pierre and Miquelon", 15679 "Saint Vincent and the Grenadines", 15680 "Samoa", 15681 "San Marino", 15682 "Sao Tome and Principe", 15683 "Saudi Arabia", 15684 "Senegal", 15685 "Serbia", 15686 "Seychelles", 15687 "Sierra Leone", 15688 "Singapore", 15689 "Slovakia (Slovak Republic)", 15690 "Slovenia", 15691 "Solomon Islands", 15692 "Somalia", 15693 "South Africa", 15694 "South Georgia and the South Sandwich Islands", 15695 "Spain", 15696 "Sri Lanka", 15697 "Sudan", 15698 "Suriname", 15699 "Svalbard & Jan Mayen Islands", 15700 "Swaziland", 15701 "Sweden", 15702 "Switzerland", 15703 "Syrian Arab Republic", 15704 "Taiwan", 15705 "Tajikistan", 15706 "Tanzania", 15707 "Thailand", 15708 "Timor-Leste", 15709 "Togo", 15710 "Tokelau", 15711 "Tonga", 15712 "Trinidad and Tobago", 15713 "Tunisia", 15714 "Turkey", 15715 "Turkmenistan", 15716 "Turks and Caicos Islands", 15717 "Tuvalu", 15718 "Uganda", 15719 "Ukraine", 15720 "United Arab Emirates", 15721 "United Kingdom", 15722 "United States of America", 15723 "United States Minor Outlying Islands", 15724 "Uruguay", 15725 "Uzbekistan", 15726 "Vanuatu", 15727 "Venezuela", 15728 "Vietnam", 15729 "Virgin Islands", 15730 "British", 15731 "Virgin Islands", 15732 "U.S.", 15733 "Wallis and Futuna", 15734 "Western Sahara", 15735 "Yemen", 15736 "Zambia", 15737 "Zimbabwe" 15738 ]; 15739 return choice(data, this.rnd); 15740 } 15741 15742 /// 15743 string addressTimeZone() { 15744 auto data = [ 15745 "Pacific/Midway", 15746 "Pacific/Pago_Pago", 15747 "Pacific/Honolulu", 15748 "America/Juneau", 15749 "America/Los_Angeles", 15750 "America/Tijuana", 15751 "America/Denver", 15752 "America/Phoenix", 15753 "America/Chihuahua", 15754 "America/Mazatlan", 15755 "America/Chicago", 15756 "America/Regina", 15757 "America/Mexico_City", 15758 "America/Mexico_City", 15759 "America/Monterrey", 15760 "America/Guatemala", 15761 "America/New_York", 15762 "America/Indiana/Indianapolis", 15763 "America/Bogota", 15764 "America/Lima", 15765 "America/Lima", 15766 "America/Halifax", 15767 "America/Caracas", 15768 "America/La_Paz", 15769 "America/Santiago", 15770 "America/St_Johns", 15771 "America/Sao_Paulo", 15772 "America/Argentina/Buenos_Aires", 15773 "America/Guyana", 15774 "America/Godthab", 15775 "Atlantic/South_Georgia", 15776 "Atlantic/Azores", 15777 "Atlantic/Cape_Verde", 15778 "Europe/Dublin", 15779 "Europe/London", 15780 "Europe/Lisbon", 15781 "Europe/London", 15782 "Africa/Casablanca", 15783 "Africa/Monrovia", 15784 "Etc/UTC", 15785 "Europe/Belgrade", 15786 "Europe/Bratislava", 15787 "Europe/Budapest", 15788 "Europe/Ljubljana", 15789 "Europe/Prague", 15790 "Europe/Sarajevo", 15791 "Europe/Skopje", 15792 "Europe/Warsaw", 15793 "Europe/Zagreb", 15794 "Europe/Brussels", 15795 "Europe/Copenhagen", 15796 "Europe/Madrid", 15797 "Europe/Paris", 15798 "Europe/Amsterdam", 15799 "Europe/Berlin", 15800 "Europe/Berlin", 15801 "Europe/Rome", 15802 "Europe/Stockholm", 15803 "Europe/Vienna", 15804 "Africa/Algiers", 15805 "Europe/Bucharest", 15806 "Africa/Cairo", 15807 "Europe/Helsinki", 15808 "Europe/Kiev", 15809 "Europe/Riga", 15810 "Europe/Sofia", 15811 "Europe/Tallinn", 15812 "Europe/Vilnius", 15813 "Europe/Athens", 15814 "Europe/Istanbul", 15815 "Europe/Minsk", 15816 "Asia/Jerusalem", 15817 "Africa/Harare", 15818 "Africa/Johannesburg", 15819 "Europe/Moscow", 15820 "Europe/Moscow", 15821 "Europe/Moscow", 15822 "Asia/Kuwait", 15823 "Asia/Riyadh", 15824 "Africa/Nairobi", 15825 "Asia/Baghdad", 15826 "Asia/Tehran", 15827 "Asia/Muscat", 15828 "Asia/Muscat", 15829 "Asia/Baku", 15830 "Asia/Tbilisi", 15831 "Asia/Yerevan", 15832 "Asia/Kabul", 15833 "Asia/Yekaterinburg", 15834 "Asia/Karachi", 15835 "Asia/Karachi", 15836 "Asia/Tashkent", 15837 "Asia/Kolkata", 15838 "Asia/Kolkata", 15839 "Asia/Kolkata", 15840 "Asia/Kolkata", 15841 "Asia/Kathmandu", 15842 "Asia/Dhaka", 15843 "Asia/Dhaka", 15844 "Asia/Colombo", 15845 "Asia/Almaty", 15846 "Asia/Novosibirsk", 15847 "Asia/Rangoon", 15848 "Asia/Bangkok", 15849 "Asia/Bangkok", 15850 "Asia/Jakarta", 15851 "Asia/Krasnoyarsk", 15852 "Asia/Shanghai", 15853 "Asia/Chongqing", 15854 "Asia/Hong_Kong", 15855 "Asia/Urumqi", 15856 "Asia/Kuala_Lumpur", 15857 "Asia/Singapore", 15858 "Asia/Taipei", 15859 "Australia/Perth", 15860 "Asia/Irkutsk", 15861 "Asia/Ulaanbaatar", 15862 "Asia/Seoul", 15863 "Asia/Tokyo", 15864 "Asia/Tokyo", 15865 "Asia/Tokyo", 15866 "Asia/Yakutsk", 15867 "Australia/Darwin", 15868 "Australia/Adelaide", 15869 "Australia/Melbourne", 15870 "Australia/Melbourne", 15871 "Australia/Sydney", 15872 "Australia/Brisbane", 15873 "Australia/Hobart", 15874 "Asia/Vladivostok", 15875 "Pacific/Guam", 15876 "Pacific/Port_Moresby", 15877 "Asia/Magadan", 15878 "Asia/Magadan", 15879 "Pacific/Noumea", 15880 "Pacific/Fiji", 15881 "Asia/Kamchatka", 15882 "Pacific/Majuro", 15883 "Pacific/Auckland", 15884 "Pacific/Auckland", 15885 "Pacific/Tongatapu", 15886 "Pacific/Fakaofo", 15887 "Pacific/Apia" 15888 ]; 15889 return choice(data, this.rnd); 15890 } 15891 15892 15893 string addressCity() { 15894 final switch(uniform(0, 5, this.rnd)) { 15895 case 0: return addressCityPrefix() ~ " " ~ nameFirstName() ~ addressCitySuffix(); 15896 case 1: return addressCityPrefix() ~ " " ~ nameFirstName(); 15897 case 2: return nameFirstName() ~ addressCitySuffix(); 15898 case 3: return nameLastName() ~ addressCitySuffix(); 15899 case 4: return addressCityName(); 15900 } 15901 } 15902 15903 /// 15904 string addressCountryCode() { 15905 auto data = [ 15906 "AD", 15907 "AE", 15908 "AF", 15909 "AG", 15910 "AI", 15911 "AL", 15912 "AM", 15913 "AO", 15914 "AQ", 15915 "AR", 15916 "AS", 15917 "AT", 15918 "AU", 15919 "AW", 15920 "AX", 15921 "AZ", 15922 "BA", 15923 "BB", 15924 "BD", 15925 "BE", 15926 "BF", 15927 "BG", 15928 "BH", 15929 "BI", 15930 "BJ", 15931 "BL", 15932 "BM", 15933 "BN", 15934 "BO", 15935 "BQ", 15936 "BR", 15937 "BS", 15938 "BT", 15939 "BV", 15940 "BW", 15941 "BY", 15942 "BZ", 15943 "CA", 15944 "CC", 15945 "CD", 15946 "CF", 15947 "CG", 15948 "CH", 15949 "CI", 15950 "CK", 15951 "CL", 15952 "CM", 15953 "CN", 15954 "CO", 15955 "CR", 15956 "CU", 15957 "CV", 15958 "CW", 15959 "CX", 15960 "CY", 15961 "CZ", 15962 "DE", 15963 "DJ", 15964 "DK", 15965 "DM", 15966 "DO", 15967 "DZ", 15968 "EC", 15969 "EE", 15970 "EG", 15971 "EH", 15972 "ER", 15973 "ES", 15974 "ET", 15975 "FI", 15976 "FJ", 15977 "FK", 15978 "FM", 15979 "FO", 15980 "FR", 15981 "GA", 15982 "GB", 15983 "GD", 15984 "GE", 15985 "GF", 15986 "GG", 15987 "GH", 15988 "GI", 15989 "GL", 15990 "GM", 15991 "GN", 15992 "GP", 15993 "GQ", 15994 "GR", 15995 "GS", 15996 "GT", 15997 "GU", 15998 "GW", 15999 "GY", 16000 "HK", 16001 "HM", 16002 "HN", 16003 "HR", 16004 "HT", 16005 "HU", 16006 "ID", 16007 "IE", 16008 "IL", 16009 "IM", 16010 "IN", 16011 "IO", 16012 "IQ", 16013 "IR", 16014 "IS", 16015 "IT", 16016 "JE", 16017 "JM", 16018 "JO", 16019 "JP", 16020 "KE", 16021 "KG", 16022 "KH", 16023 "KI", 16024 "KM", 16025 "KN", 16026 "KP", 16027 "KR", 16028 "KW", 16029 "KY", 16030 "KZ", 16031 "LA", 16032 "LB", 16033 "LC", 16034 "LI", 16035 "LK", 16036 "LR", 16037 "LS", 16038 "LT", 16039 "LU", 16040 "LV", 16041 "LY", 16042 "MA", 16043 "MC", 16044 "MD", 16045 "ME", 16046 "MF", 16047 "MG", 16048 "MH", 16049 "MK", 16050 "ML", 16051 "MM", 16052 "MN", 16053 "MO", 16054 "MP", 16055 "MQ", 16056 "MR", 16057 "MS", 16058 "MT", 16059 "MU", 16060 "MV", 16061 "MW", 16062 "MX", 16063 "MY", 16064 "MZ", 16065 "NA", 16066 "NC", 16067 "NE", 16068 "NF", 16069 "NG", 16070 "NI", 16071 "NL", 16072 "NO", 16073 "NP", 16074 "NR", 16075 "NU", 16076 "NZ", 16077 "OM", 16078 "PA", 16079 "PE", 16080 "PF", 16081 "PG", 16082 "PH", 16083 "PK", 16084 "PL", 16085 "PM", 16086 "PN", 16087 "PR", 16088 "PS", 16089 "PT", 16090 "PW", 16091 "PY", 16092 "QA", 16093 "RE", 16094 "RO", 16095 "RS", 16096 "RU", 16097 "RW", 16098 "SA", 16099 "SB", 16100 "SC", 16101 "SD", 16102 "SE", 16103 "SG", 16104 "SH", 16105 "SI", 16106 "SJ", 16107 "SK", 16108 "SL", 16109 "SM", 16110 "SN", 16111 "SO", 16112 "SR", 16113 "SS", 16114 "ST", 16115 "SV", 16116 "SX", 16117 "SY", 16118 "SZ", 16119 "TC", 16120 "TD", 16121 "TF", 16122 "TG", 16123 "TH", 16124 "TJ", 16125 "TK", 16126 "TL", 16127 "TM", 16128 "TN", 16129 "TO", 16130 "TR", 16131 "TT", 16132 "TV", 16133 "TW", 16134 "TZ", 16135 "UA", 16136 "UG", 16137 "UM", 16138 "US", 16139 "UY", 16140 "UZ", 16141 "VA", 16142 "VC", 16143 "VE", 16144 "VG", 16145 "VI", 16146 "VN", 16147 "VU", 16148 "WF", 16149 "WS", 16150 "YE", 16151 "YT", 16152 "ZA", 16153 "ZM", 16154 "ZW" 16155 ]; 16156 return choice(data, this.rnd); 16157 } 16158 16159 /// 16160 string addressBuildingNumber() { 16161 auto data = [ 16162 "#####", 16163 "####", 16164 "###'" 16165 ]; 16166 return this.digitBuild(choice(data, this.rnd)); 16167 } 16168 16169 /// 16170 string addressSecondaryAddress() { 16171 auto data = [ 16172 "Apt. ###", 16173 "Suite ###'" 16174 ]; 16175 return this.digitBuild(choice(data, this.rnd)); 16176 } 16177 16178 /// 16179 string addressPostcode() { 16180 auto data = [ 16181 "#####", 16182 "#####-####'" 16183 ]; 16184 return this.digitBuild(choice(data, this.rnd)); 16185 } 16186 16187 /// 16188 string addressStreetSuffix() { 16189 auto data = [ 16190 "Alley", 16191 "Avenue", 16192 "Branch", 16193 "Bridge", 16194 "Brook", 16195 "Brooks", 16196 "Burg", 16197 "Burgs", 16198 "Bypass", 16199 "Camp", 16200 "Canyon", 16201 "Cape", 16202 "Causeway", 16203 "Center", 16204 "Centers", 16205 "Circle", 16206 "Circles", 16207 "Cliff", 16208 "Cliffs", 16209 "Club", 16210 "Common", 16211 "Corner", 16212 "Corners", 16213 "Course", 16214 "Court", 16215 "Courts", 16216 "Cove", 16217 "Coves", 16218 "Creek", 16219 "Crescent", 16220 "Crest", 16221 "Crossing", 16222 "Crossroad", 16223 "Curve", 16224 "Dale", 16225 "Dam", 16226 "Divide", 16227 "Drive", 16228 "Drive", 16229 "Drives", 16230 "Estate", 16231 "Estates", 16232 "Expressway", 16233 "Extension", 16234 "Extensions", 16235 "Fall", 16236 "Falls", 16237 "Ferry", 16238 "Field", 16239 "Fields", 16240 "Flat", 16241 "Flats", 16242 "Ford", 16243 "Fords", 16244 "Forest", 16245 "Forge", 16246 "Forges", 16247 "Fork", 16248 "Forks", 16249 "Fort", 16250 "Freeway", 16251 "Garden", 16252 "Gardens", 16253 "Gateway", 16254 "Glen", 16255 "Glens", 16256 "Green", 16257 "Greens", 16258 "Grove", 16259 "Groves", 16260 "Harbor", 16261 "Harbors", 16262 "Haven", 16263 "Heights", 16264 "Highway", 16265 "Hill", 16266 "Hills", 16267 "Hollow", 16268 "Inlet", 16269 "Inlet", 16270 "Island", 16271 "Island", 16272 "Islands", 16273 "Islands", 16274 "Isle", 16275 "Isle", 16276 "Junction", 16277 "Junctions", 16278 "Key", 16279 "Keys", 16280 "Knoll", 16281 "Knolls", 16282 "Lake", 16283 "Lakes", 16284 "Land", 16285 "Landing", 16286 "Lane", 16287 "Light", 16288 "Lights", 16289 "Loaf", 16290 "Lock", 16291 "Locks", 16292 "Locks", 16293 "Lodge", 16294 "Lodge", 16295 "Loop", 16296 "Mall", 16297 "Manor", 16298 "Manors", 16299 "Meadow", 16300 "Meadows", 16301 "Mews", 16302 "Mill", 16303 "Mills", 16304 "Mission", 16305 "Mission", 16306 "Motorway", 16307 "Mount", 16308 "Mountain", 16309 "Mountain", 16310 "Mountains", 16311 "Mountains", 16312 "Neck", 16313 "Orchard", 16314 "Oval", 16315 "Overpass", 16316 "Park", 16317 "Parks", 16318 "Parkway", 16319 "Parkways", 16320 "Pass", 16321 "Passage", 16322 "Path", 16323 "Pike", 16324 "Pine", 16325 "Pines", 16326 "Place", 16327 "Plain", 16328 "Plains", 16329 "Plains", 16330 "Plaza", 16331 "Plaza", 16332 "Point", 16333 "Points", 16334 "Port", 16335 "Port", 16336 "Ports", 16337 "Ports", 16338 "Prairie", 16339 "Prairie", 16340 "Radial", 16341 "Ramp", 16342 "Ranch", 16343 "Rapid", 16344 "Rapids", 16345 "Rest", 16346 "Ridge", 16347 "Ridges", 16348 "River", 16349 "Road", 16350 "Road", 16351 "Roads", 16352 "Roads", 16353 "Route", 16354 "Row", 16355 "Rue", 16356 "Run", 16357 "Shoal", 16358 "Shoals", 16359 "Shore", 16360 "Shores", 16361 "Skyway", 16362 "Spring", 16363 "Springs", 16364 "Springs", 16365 "Spur", 16366 "Spurs", 16367 "Square", 16368 "Square", 16369 "Squares", 16370 "Squares", 16371 "Station", 16372 "Station", 16373 "Stravenue", 16374 "Stravenue", 16375 "Stream", 16376 "Stream", 16377 "Street", 16378 "Street", 16379 "Streets", 16380 "Summit", 16381 "Summit", 16382 "Terrace", 16383 "Throughway", 16384 "Trace", 16385 "Track", 16386 "Trafficway", 16387 "Trail", 16388 "Trail", 16389 "Tunnel", 16390 "Tunnel", 16391 "Turnpike", 16392 "Turnpike", 16393 "Underpass", 16394 "Union", 16395 "Unions", 16396 "Valley", 16397 "Valleys", 16398 "Via", 16399 "Viaduct", 16400 "View", 16401 "Views", 16402 "Village", 16403 "Village", 16404 "Villages", 16405 "Ville", 16406 "Vista", 16407 "Vista", 16408 "Walk", 16409 "Walks", 16410 "Wall", 16411 "Way", 16412 "Ways", 16413 "Well", 16414 "Wells" 16415 ]; 16416 return choice(data, this.rnd); 16417 } 16418 16419 /// 16420 string wordConjunction() { 16421 auto data = [ 16422 "after", 16423 "although", 16424 "and", 16425 "as", 16426 "because", 16427 "before", 16428 "but", 16429 "consequently", 16430 "even", 16431 "finally", 16432 "for", 16433 "furthermore", 16434 "hence", 16435 "how", 16436 "however", 16437 "if", 16438 "inasmuch", 16439 "incidentally", 16440 "indeed", 16441 "instead", 16442 "lest", 16443 "likewise", 16444 "meanwhile", 16445 "nor", 16446 "now", 16447 "once", 16448 "or", 16449 "provided", 16450 "since", 16451 "so", 16452 "supposing", 16453 "than", 16454 "that", 16455 "though", 16456 "till", 16457 "unless", 16458 "until", 16459 "what", 16460 "when", 16461 "whenever", 16462 "where", 16463 "whereas", 16464 "wherever", 16465 "whether", 16466 "which", 16467 "while", 16468 "who", 16469 "whoever", 16470 "whose", 16471 "why", 16472 "yet" 16473 ]; 16474 return choice(data, this.rnd); 16475 } 16476 16477 /// 16478 string wordNoun() { 16479 auto data = [ 16480 "ATM", 16481 "CD", 16482 "SUV", 16483 "TV", 16484 "aardvark", 16485 "abacus", 16486 "abbey", 16487 "abbreviation", 16488 "abdomen", 16489 "ability", 16490 "abnormality", 16491 "abolishment", 16492 "abortion", 16493 "abrogation", 16494 "absence", 16495 "abundance", 16496 "abuse", 16497 "academics", 16498 "academy", 16499 "accelerant", 16500 "accelerator", 16501 "accent", 16502 "acceptance", 16503 "access", 16504 "accessory", 16505 "accident", 16506 "accommodation", 16507 "accompanist", 16508 "accomplishment", 16509 "accord", 16510 "accordance", 16511 "accordion", 16512 "account", 16513 "accountability", 16514 "accountant", 16515 "accounting", 16516 "accuracy", 16517 "accusation", 16518 "acetate", 16519 "achievement", 16520 "achiever", 16521 "acid", 16522 "acknowledgment", 16523 "acorn", 16524 "acoustics", 16525 "acquaintance", 16526 "acquisition", 16527 "acre", 16528 "acrylic", 16529 "act", 16530 "action", 16531 "activation", 16532 "activist", 16533 "activity", 16534 "actor", 16535 "actress", 16536 "acupuncture", 16537 "ad", 16538 "adaptation", 16539 "adapter", 16540 "addiction", 16541 "addition", 16542 "address", 16543 "adjective", 16544 "adjustment", 16545 "admin", 16546 "administration", 16547 "administrator", 16548 "admire", 16549 "admission", 16550 "adobe", 16551 "adoption", 16552 "adrenalin", 16553 "adrenaline", 16554 "adult", 16555 "adulthood", 16556 "advance", 16557 "advancement", 16558 "advantage", 16559 "advent", 16560 "adverb", 16561 "advertisement", 16562 "advertising", 16563 "advice", 16564 "adviser", 16565 "advocacy", 16566 "advocate", 16567 "affair", 16568 "affect", 16569 "affidavit", 16570 "affiliate", 16571 "affinity", 16572 "afoul", 16573 "afterlife", 16574 "aftermath", 16575 "afternoon", 16576 "aftershave", 16577 "aftershock", 16578 "afterthought", 16579 "age", 16580 "agency", 16581 "agenda", 16582 "agent", 16583 "aggradation", 16584 "aggression", 16585 "aglet", 16586 "agony", 16587 "agreement", 16588 "agriculture", 16589 "aid", 16590 "aide", 16591 "aim", 16592 "air", 16593 "airbag", 16594 "airbus", 16595 "aircraft", 16596 "airfare", 16597 "airfield", 16598 "airforce", 16599 "airline", 16600 "airmail", 16601 "airman", 16602 "airplane", 16603 "airport", 16604 "airship", 16605 "airspace", 16606 "alarm", 16607 "alb", 16608 "albatross", 16609 "album", 16610 "alcohol", 16611 "alcove", 16612 "alder", 16613 "ale", 16614 "alert", 16615 "alfalfa", 16616 "algebra", 16617 "algorithm", 16618 "alias", 16619 "alibi", 16620 "alien", 16621 "allegation", 16622 "allergist", 16623 "alley", 16624 "alliance", 16625 "alligator", 16626 "allocation", 16627 "allowance", 16628 "alloy", 16629 "alluvium", 16630 "almanac", 16631 "almighty", 16632 "almond", 16633 "alpaca", 16634 "alpenglow", 16635 "alpenhorn", 16636 "alpha", 16637 "alphabet", 16638 "altar", 16639 "alteration", 16640 "alternative", 16641 "altitude", 16642 "alto", 16643 "aluminium", 16644 "aluminum", 16645 "amazement", 16646 "amazon", 16647 "ambassador", 16648 "amber", 16649 "ambience", 16650 "ambiguity", 16651 "ambition", 16652 "ambulance", 16653 "amendment", 16654 "amenity", 16655 "ammunition", 16656 "amnesty", 16657 "amount", 16658 "amusement", 16659 "anagram", 16660 "analgesia", 16661 "analog", 16662 "analogue", 16663 "analogy", 16664 "analysis", 16665 "analyst", 16666 "analytics", 16667 "anarchist", 16668 "anarchy", 16669 "anatomy", 16670 "ancestor", 16671 "anchovy", 16672 "android", 16673 "anesthesiologist", 16674 "anesthesiology", 16675 "angel", 16676 "anger", 16677 "angina", 16678 "angiosperm", 16679 "angle", 16680 "angora", 16681 "angstrom", 16682 "anguish", 16683 "animal", 16684 "anime", 16685 "anise", 16686 "ankle", 16687 "anklet", 16688 "anniversary", 16689 "announcement", 16690 "annual", 16691 "anorak", 16692 "answer", 16693 "ant", 16694 "anteater", 16695 "antecedent", 16696 "antechamber", 16697 "antelope", 16698 "antennae", 16699 "anterior", 16700 "anthropology", 16701 "antibody", 16702 "anticipation", 16703 "anticodon", 16704 "antigen", 16705 "antique", 16706 "antiquity", 16707 "antler", 16708 "antling", 16709 "anxiety", 16710 "anybody", 16711 "anyone", 16712 "anything", 16713 "anywhere", 16714 "apartment", 16715 "ape", 16716 "aperitif", 16717 "apology", 16718 "app", 16719 "apparatus", 16720 "apparel", 16721 "appeal", 16722 "appearance", 16723 "appellation", 16724 "appendix", 16725 "appetiser", 16726 "appetite", 16727 "appetizer", 16728 "applause", 16729 "apple", 16730 "applewood", 16731 "appliance", 16732 "application", 16733 "appointment", 16734 "appreciation", 16735 "apprehension", 16736 "approach", 16737 "appropriation", 16738 "approval", 16739 "apricot", 16740 "apron", 16741 "apse", 16742 "aquarium", 16743 "aquifer", 16744 "arcade", 16745 "arch", 16746 "arch-rival", 16747 "archaeologist", 16748 "archaeology", 16749 "archeology", 16750 "archer", 16751 "architect", 16752 "architecture", 16753 "archives", 16754 "area", 16755 "arena", 16756 "argument", 16757 "arithmetic", 16758 "ark", 16759 "arm", 16760 "arm-rest", 16761 "armadillo", 16762 "armament", 16763 "armchair", 16764 "armoire", 16765 "armor", 16766 "armour", 16767 "armpit", 16768 "armrest", 16769 "army", 16770 "arrangement", 16771 "array", 16772 "arrest", 16773 "arrival", 16774 "arrogance", 16775 "arrow", 16776 "art", 16777 "artery", 16778 "arthur", 16779 "artichoke", 16780 "article", 16781 "artifact", 16782 "artificer", 16783 "artist", 16784 "ascend", 16785 "ascent", 16786 "ascot", 16787 "ash", 16788 "ashram", 16789 "ashtray", 16790 "aside", 16791 "asparagus", 16792 "aspect", 16793 "asphalt", 16794 "aspic", 16795 "ass", 16796 "assassination", 16797 "assault", 16798 "assembly", 16799 "assertion", 16800 "assessment", 16801 "asset", 16802 "assignment", 16803 "assist", 16804 "assistance", 16805 "assistant", 16806 "associate", 16807 "association", 16808 "assumption", 16809 "assurance", 16810 "asterisk", 16811 "astrakhan", 16812 "astrolabe", 16813 "astrologer", 16814 "astrology", 16815 "astronomy", 16816 "asymmetry", 16817 "atelier", 16818 "atheist", 16819 "athlete", 16820 "athletics", 16821 "atmosphere", 16822 "atom", 16823 "atrium", 16824 "attachment", 16825 "attack", 16826 "attacker", 16827 "attainment", 16828 "attempt", 16829 "attendance", 16830 "attendant", 16831 "attention", 16832 "attenuation", 16833 "attic", 16834 "attitude", 16835 "attorney", 16836 "attraction", 16837 "attribute", 16838 "auction", 16839 "audience", 16840 "audit", 16841 "auditorium", 16842 "aunt", 16843 "authentication", 16844 "authenticity", 16845 "author", 16846 "authorisation", 16847 "authority", 16848 "authorization", 16849 "auto", 16850 "autoimmunity", 16851 "automation", 16852 "automaton", 16853 "autumn", 16854 "availability", 16855 "avalanche", 16856 "avenue", 16857 "average", 16858 "avocado", 16859 "award", 16860 "awareness", 16861 "awe", 16862 "axis", 16863 "azimuth", 16864 "babe", 16865 "baboon", 16866 "babushka", 16867 "baby", 16868 "bachelor", 16869 "back", 16870 "back-up", 16871 "backbone", 16872 "backburn", 16873 "backdrop", 16874 "background", 16875 "backpack", 16876 "backup", 16877 "backyard", 16878 "bacon", 16879 "bacterium", 16880 "badge", 16881 "badger", 16882 "bafflement", 16883 "bag", 16884 "bagel", 16885 "baggage", 16886 "baggie", 16887 "baggy", 16888 "bagpipe", 16889 "bail", 16890 "bait", 16891 "bake", 16892 "baker", 16893 "bakery", 16894 "bakeware", 16895 "balaclava", 16896 "balalaika", 16897 "balance", 16898 "balcony", 16899 "ball", 16900 "ballet", 16901 "balloon", 16902 "balloonist", 16903 "ballot", 16904 "ballpark", 16905 "bamboo", 16906 "ban", 16907 "banana", 16908 "band", 16909 "bandana", 16910 "bandanna", 16911 "bandolier", 16912 "bandwidth", 16913 "bangle", 16914 "banjo", 16915 "bank", 16916 "bankbook", 16917 "banker", 16918 "banking", 16919 "bankruptcy", 16920 "banner", 16921 "banquette", 16922 "banyan", 16923 "baobab", 16924 "bar", 16925 "barbecue", 16926 "barbeque", 16927 "barber", 16928 "barbiturate", 16929 "bargain", 16930 "barge", 16931 "baritone", 16932 "barium", 16933 "bark", 16934 "barley", 16935 "barn", 16936 "barometer", 16937 "barracks", 16938 "barrage", 16939 "barrel", 16940 "barrier", 16941 "barstool", 16942 "bartender", 16943 "base", 16944 "baseball", 16945 "baseboard", 16946 "baseline", 16947 "basement", 16948 "basics", 16949 "basil", 16950 "basin", 16951 "basis", 16952 "basket", 16953 "basketball", 16954 "bass", 16955 "bassinet", 16956 "bassoon", 16957 "bat", 16958 "bath", 16959 "bather", 16960 "bathhouse", 16961 "bathrobe", 16962 "bathroom", 16963 "bathtub", 16964 "battalion", 16965 "batter", 16966 "battery", 16967 "batting", 16968 "battle", 16969 "battleship", 16970 "bay", 16971 "bayou", 16972 "beach", 16973 "bead", 16974 "beak", 16975 "beam", 16976 "bean", 16977 "beancurd", 16978 "beanie", 16979 "beanstalk", 16980 "bear", 16981 "beard", 16982 "beast", 16983 "beastie", 16984 "beat", 16985 "beating", 16986 "beauty", 16987 "beaver", 16988 "beck", 16989 "bed", 16990 "bedrock", 16991 "bedroom", 16992 "bee", 16993 "beech", 16994 "beef", 16995 "beer", 16996 "beet", 16997 "beetle", 16998 "beggar", 16999 "beginner", 17000 "beginning", 17001 "begonia", 17002 "behalf", 17003 "behavior", 17004 "behaviour", 17005 "beheading", 17006 "behest", 17007 "behold", 17008 "being", 17009 "belfry", 17010 "belief", 17011 "believer", 17012 "bell", 17013 "belligerency", 17014 "bellows", 17015 "belly", 17016 "belt", 17017 "bench", 17018 "bend", 17019 "beneficiary", 17020 "benefit", 17021 "beret", 17022 "berry", 17023 "best-seller", 17024 "bestseller", 17025 "bet", 17026 "beverage", 17027 "beyond", 17028 "bias", 17029 "bibliography", 17030 "bicycle", 17031 "bid", 17032 "bidder", 17033 "bidding", 17034 "bidet", 17035 "bifocals", 17036 "bijou", 17037 "bike", 17038 "bikini", 17039 "bill", 17040 "billboard", 17041 "billing", 17042 "billion", 17043 "bin", 17044 "binoculars", 17045 "biology", 17046 "biopsy", 17047 "biosphere", 17048 "biplane", 17049 "birch", 17050 "bird", 17051 "bird-watcher", 17052 "birdbath", 17053 "birdcage", 17054 "birdhouse", 17055 "birth", 17056 "birthday", 17057 "biscuit", 17058 "bit", 17059 "bite", 17060 "bitten", 17061 "bitter", 17062 "black", 17063 "blackberry", 17064 "blackbird", 17065 "blackboard", 17066 "blackfish", 17067 "blackness", 17068 "bladder", 17069 "blade", 17070 "blame", 17071 "blank", 17072 "blanket", 17073 "blast", 17074 "blazer", 17075 "blend", 17076 "blessing", 17077 "blight", 17078 "blind", 17079 "blinker", 17080 "blister", 17081 "blizzard", 17082 "block", 17083 "blocker", 17084 "blog", 17085 "blogger", 17086 "blood", 17087 "bloodflow", 17088 "bloom", 17089 "bloomer", 17090 "blossom", 17091 "blouse", 17092 "blow", 17093 "blowgun", 17094 "blowhole", 17095 "blue", 17096 "blueberry", 17097 "blush", 17098 "boar", 17099 "board", 17100 "boat", 17101 "boatload", 17102 "boatyard", 17103 "bob", 17104 "bobcat", 17105 "body", 17106 "bog", 17107 "bolero", 17108 "bolt", 17109 "bomb", 17110 "bomber", 17111 "bombing", 17112 "bond", 17113 "bonding", 17114 "bondsman", 17115 "bone", 17116 "bonfire", 17117 "bongo", 17118 "bonnet", 17119 "bonsai", 17120 "bonus", 17121 "boogeyman", 17122 "book", 17123 "bookcase", 17124 "bookend", 17125 "booking", 17126 "booklet", 17127 "bookmark", 17128 "boolean", 17129 "boom", 17130 "boon", 17131 "boost", 17132 "booster", 17133 "boot", 17134 "bootee", 17135 "bootie", 17136 "booty", 17137 "border", 17138 "bore", 17139 "borrower", 17140 "borrowing", 17141 "bosom", 17142 "boss", 17143 "botany", 17144 "bother", 17145 "bottle", 17146 "bottling", 17147 "bottom", 17148 "bottom-line", 17149 "boudoir", 17150 "bough", 17151 "boulder", 17152 "boulevard", 17153 "boundary", 17154 "bouquet", 17155 "bourgeoisie", 17156 "bout", 17157 "boutique", 17158 "bow", 17159 "bower", 17160 "bowl", 17161 "bowler", 17162 "bowling", 17163 "bowtie", 17164 "box", 17165 "boxer", 17166 "boxspring", 17167 "boy", 17168 "boycott", 17169 "boyfriend", 17170 "boyhood", 17171 "boysenberry", 17172 "bra", 17173 "brace", 17174 "bracelet", 17175 "bracket", 17176 "brain", 17177 "brake", 17178 "bran", 17179 "branch", 17180 "brand", 17181 "brandy", 17182 "brass", 17183 "brassiere", 17184 "bratwurst", 17185 "bread", 17186 "breadcrumb", 17187 "breadfruit", 17188 "break", 17189 "breakdown", 17190 "breakfast", 17191 "breakpoint", 17192 "breakthrough", 17193 "breast", 17194 "breastplate", 17195 "breath", 17196 "breeze", 17197 "brewer", 17198 "bribery", 17199 "brick", 17200 "bricklaying", 17201 "bride", 17202 "bridge", 17203 "brief", 17204 "briefing", 17205 "briefly", 17206 "briefs", 17207 "brilliant", 17208 "brink", 17209 "brisket", 17210 "broad", 17211 "broadcast", 17212 "broccoli", 17213 "brochure", 17214 "brocolli", 17215 "broiler", 17216 "broker", 17217 "bronchitis", 17218 "bronco", 17219 "bronze", 17220 "brooch", 17221 "brood", 17222 "brook", 17223 "broom", 17224 "brother", 17225 "brother-in-law", 17226 "brow", 17227 "brown", 17228 "brownie", 17229 "browser", 17230 "browsing", 17231 "brunch", 17232 "brush", 17233 "brushfire", 17234 "brushing", 17235 "bubble", 17236 "buck", 17237 "bucket", 17238 "buckle", 17239 "buckwheat", 17240 "bud", 17241 "buddy", 17242 "budget", 17243 "buffalo", 17244 "buffer", 17245 "buffet", 17246 "bug", 17247 "buggy", 17248 "bugle", 17249 "builder", 17250 "building", 17251 "bulb", 17252 "bulk", 17253 "bull", 17254 "bull-fighter", 17255 "bulldozer", 17256 "bullet", 17257 "bump", 17258 "bumper", 17259 "bun", 17260 "bunch", 17261 "bungalow", 17262 "bunghole", 17263 "bunkhouse", 17264 "burden", 17265 "bureau", 17266 "burglar", 17267 "burial", 17268 "burlesque", 17269 "burn", 17270 "burn-out", 17271 "burning", 17272 "burrito", 17273 "burro", 17274 "burrow", 17275 "burst", 17276 "bus", 17277 "bush", 17278 "business", 17279 "businessman", 17280 "bust", 17281 "bustle", 17282 "butane", 17283 "butcher", 17284 "butler", 17285 "butter", 17286 "butterfly", 17287 "button", 17288 "buy", 17289 "buyer", 17290 "buying", 17291 "buzz", 17292 "buzzard", 17293 "c-clamp", 17294 "cabana", 17295 "cabbage", 17296 "cabin", 17297 "cabinet", 17298 "cable", 17299 "caboose", 17300 "cacao", 17301 "cactus", 17302 "caddy", 17303 "cadet", 17304 "cafe", 17305 "caffeine", 17306 "caftan", 17307 "cage", 17308 "cake", 17309 "calcification", 17310 "calculation", 17311 "calculator", 17312 "calculus", 17313 "calendar", 17314 "calf", 17315 "caliber", 17316 "calibre", 17317 "calico", 17318 "call", 17319 "calm", 17320 "calorie", 17321 "camel", 17322 "cameo", 17323 "camera", 17324 "camp", 17325 "campaign", 17326 "campaigning", 17327 "campanile", 17328 "camper", 17329 "campus", 17330 "can", 17331 "canal", 17332 "cancer", 17333 "candelabra", 17334 "candidacy", 17335 "candidate", 17336 "candle", 17337 "candy", 17338 "cane", 17339 "cannibal", 17340 "cannon", 17341 "canoe", 17342 "canon", 17343 "canopy", 17344 "cantaloupe", 17345 "canteen", 17346 "canvas", 17347 "cap", 17348 "capability", 17349 "capacity", 17350 "cape", 17351 "caper", 17352 "capital", 17353 "capitalism", 17354 "capitulation", 17355 "capon", 17356 "cappelletti", 17357 "cappuccino", 17358 "captain", 17359 "caption", 17360 "captor", 17361 "car", 17362 "carabao", 17363 "caramel", 17364 "caravan", 17365 "carbohydrate", 17366 "carbon", 17367 "carboxyl", 17368 "card", 17369 "cardboard", 17370 "cardigan", 17371 "care", 17372 "career", 17373 "cargo", 17374 "caribou", 17375 "carload", 17376 "carnation", 17377 "carnival", 17378 "carol", 17379 "carotene", 17380 "carp", 17381 "carpenter", 17382 "carpet", 17383 "carpeting", 17384 "carport", 17385 "carriage", 17386 "carrier", 17387 "carrot", 17388 "carry", 17389 "cart", 17390 "cartel", 17391 "carter", 17392 "cartilage", 17393 "cartload", 17394 "cartoon", 17395 "cartridge", 17396 "carving", 17397 "cascade", 17398 "case", 17399 "casement", 17400 "cash", 17401 "cashew", 17402 "cashier", 17403 "casino", 17404 "casket", 17405 "cassava", 17406 "casserole", 17407 "cassock", 17408 "cast", 17409 "castanet", 17410 "castle", 17411 "casualty", 17412 "cat", 17413 "catacomb", 17414 "catalogue", 17415 "catalysis", 17416 "catalyst", 17417 "catamaran", 17418 "catastrophe", 17419 "catch", 17420 "catcher", 17421 "category", 17422 "caterpillar", 17423 "cathedral", 17424 "cation", 17425 "catsup", 17426 "cattle", 17427 "cauliflower", 17428 "causal", 17429 "cause", 17430 "causeway", 17431 "caution", 17432 "cave", 17433 "caviar", 17434 "cayenne", 17435 "ceiling", 17436 "celebration", 17437 "celebrity", 17438 "celeriac", 17439 "celery", 17440 "cell", 17441 "cellar", 17442 "cello", 17443 "celsius", 17444 "cement", 17445 "cemetery", 17446 "cenotaph", 17447 "census", 17448 "cent", 17449 "center", 17450 "centimeter", 17451 "centre", 17452 "centurion", 17453 "century", 17454 "cephalopod", 17455 "ceramic", 17456 "ceramics", 17457 "cereal", 17458 "ceremony", 17459 "certainty", 17460 "certificate", 17461 "certification", 17462 "cesspool", 17463 "chafe", 17464 "chain", 17465 "chainstay", 17466 "chair", 17467 "chairlift", 17468 "chairman", 17469 "chairperson", 17470 "chaise", 17471 "chalet", 17472 "chalice", 17473 "chalk", 17474 "challenge", 17475 "chamber", 17476 "champagne", 17477 "champion", 17478 "championship", 17479 "chance", 17480 "chandelier", 17481 "change", 17482 "channel", 17483 "chaos", 17484 "chap", 17485 "chapel", 17486 "chaplain", 17487 "chapter", 17488 "character", 17489 "characteristic", 17490 "characterization", 17491 "chard", 17492 "charge", 17493 "charger", 17494 "charity", 17495 "charlatan", 17496 "charm", 17497 "charset", 17498 "chart", 17499 "charter", 17500 "chasm", 17501 "chassis", 17502 "chastity", 17503 "chasuble", 17504 "chateau", 17505 "chatter", 17506 "chauffeur", 17507 "chauvinist", 17508 "check", 17509 "checkbook", 17510 "checking", 17511 "checkout", 17512 "checkroom", 17513 "cheddar", 17514 "cheek", 17515 "cheer", 17516 "cheese", 17517 "cheesecake", 17518 "cheetah", 17519 "chef", 17520 "chem", 17521 "chemical", 17522 "chemistry", 17523 "chemotaxis", 17524 "cheque", 17525 "cherry", 17526 "chess", 17527 "chest", 17528 "chestnut", 17529 "chick", 17530 "chicken", 17531 "chicory", 17532 "chief", 17533 "chiffonier", 17534 "child", 17535 "childbirth", 17536 "childhood", 17537 "chili", 17538 "chill", 17539 "chime", 17540 "chimpanzee", 17541 "chin", 17542 "chinchilla", 17543 "chino", 17544 "chip", 17545 "chipmunk", 17546 "chit-chat", 17547 "chivalry", 17548 "chive", 17549 "chives", 17550 "chocolate", 17551 "choice", 17552 "choir", 17553 "choker", 17554 "cholesterol", 17555 "choosing", 17556 "chop", 17557 "chops", 17558 "chopstick", 17559 "chopsticks", 17560 "chord", 17561 "chorus", 17562 "chow", 17563 "chowder", 17564 "chrome", 17565 "chromolithograph", 17566 "chronicle", 17567 "chronograph", 17568 "chronometer", 17569 "chrysalis", 17570 "chub", 17571 "chuck", 17572 "chug", 17573 "church", 17574 "churn", 17575 "chutney", 17576 "cicada", 17577 "cigarette", 17578 "cilantro", 17579 "cinder", 17580 "cinema", 17581 "cinnamon", 17582 "circadian", 17583 "circle", 17584 "circuit", 17585 "circulation", 17586 "circumference", 17587 "circumstance", 17588 "cirrhosis", 17589 "cirrus", 17590 "citizen", 17591 "citizenship", 17592 "citron", 17593 "citrus", 17594 "city", 17595 "civilian", 17596 "civilisation", 17597 "civilization", 17598 "claim", 17599 "clam", 17600 "clamp", 17601 "clan", 17602 "clank", 17603 "clapboard", 17604 "clarification", 17605 "clarinet", 17606 "clarity", 17607 "clasp", 17608 "class", 17609 "classic", 17610 "classification", 17611 "classmate", 17612 "classroom", 17613 "clause", 17614 "clave", 17615 "clavicle", 17616 "clavier", 17617 "claw", 17618 "clay", 17619 "cleaner", 17620 "clearance", 17621 "clearing", 17622 "cleat", 17623 "cleavage", 17624 "clef", 17625 "cleft", 17626 "clergyman", 17627 "cleric", 17628 "clerk", 17629 "click", 17630 "client", 17631 "cliff", 17632 "climate", 17633 "climb", 17634 "clinic", 17635 "clip", 17636 "clipboard", 17637 "clipper", 17638 "cloak", 17639 "cloakroom", 17640 "clock", 17641 "clockwork", 17642 "clogs", 17643 "cloister", 17644 "clone", 17645 "close", 17646 "closet", 17647 "closing", 17648 "closure", 17649 "cloth", 17650 "clothes", 17651 "clothing", 17652 "cloud", 17653 "cloudburst", 17654 "clove", 17655 "clover", 17656 "cloves", 17657 "club", 17658 "clue", 17659 "cluster", 17660 "clutch", 17661 "co-producer", 17662 "coach", 17663 "coal", 17664 "coalition", 17665 "coast", 17666 "coaster", 17667 "coat", 17668 "cob", 17669 "cobbler", 17670 "cobweb", 17671 "cock", 17672 "cockpit", 17673 "cockroach", 17674 "cocktail", 17675 "cocoa", 17676 "coconut", 17677 "cod", 17678 "code", 17679 "codepage", 17680 "codling", 17681 "codon", 17682 "codpiece", 17683 "coevolution", 17684 "cofactor", 17685 "coffee", 17686 "coffin", 17687 "cohesion", 17688 "cohort", 17689 "coil", 17690 "coin", 17691 "coincidence", 17692 "coinsurance", 17693 "coke", 17694 "cold", 17695 "coleslaw", 17696 "coliseum", 17697 "collaboration", 17698 "collagen", 17699 "collapse", 17700 "collar", 17701 "collard", 17702 "collateral", 17703 "colleague", 17704 "collection", 17705 "collectivisation", 17706 "collectivization", 17707 "collector", 17708 "college", 17709 "collision", 17710 "colloquy", 17711 "colon", 17712 "colonial", 17713 "colonialism", 17714 "colonisation", 17715 "colonization", 17716 "colony", 17717 "color", 17718 "colorlessness", 17719 "colt", 17720 "column", 17721 "columnist", 17722 "comb", 17723 "combat", 17724 "combination", 17725 "combine", 17726 "comeback", 17727 "comedy", 17728 "comestible", 17729 "comfort", 17730 "comfortable", 17731 "comic", 17732 "comics", 17733 "comma", 17734 "command", 17735 "commander", 17736 "commandment", 17737 "comment", 17738 "commerce", 17739 "commercial", 17740 "commission", 17741 "commitment", 17742 "committee", 17743 "commodity", 17744 "common", 17745 "commonsense", 17746 "commotion", 17747 "communicant", 17748 "communication", 17749 "communion", 17750 "communist", 17751 "community", 17752 "commuter", 17753 "company", 17754 "comparison", 17755 "compass", 17756 "compassion", 17757 "compassionate", 17758 "compensation", 17759 "competence", 17760 "competition", 17761 "competitor", 17762 "complaint", 17763 "complement", 17764 "completion", 17765 "complex", 17766 "complexity", 17767 "compliance", 17768 "complication", 17769 "complicity", 17770 "compliment", 17771 "component", 17772 "comportment", 17773 "composer", 17774 "composite", 17775 "composition", 17776 "compost", 17777 "comprehension", 17778 "compress", 17779 "compromise", 17780 "comptroller", 17781 "compulsion", 17782 "computer", 17783 "comradeship", 17784 "con", 17785 "concentrate", 17786 "concentration", 17787 "concept", 17788 "conception", 17789 "concern", 17790 "concert", 17791 "conclusion", 17792 "concrete", 17793 "condition", 17794 "conditioner", 17795 "condominium", 17796 "condor", 17797 "conduct", 17798 "conductor", 17799 "cone", 17800 "confectionery", 17801 "conference", 17802 "confidence", 17803 "confidentiality", 17804 "configuration", 17805 "confirmation", 17806 "conflict", 17807 "conformation", 17808 "confusion", 17809 "conga", 17810 "congo", 17811 "congregation", 17812 "congress", 17813 "congressman", 17814 "congressperson", 17815 "conifer", 17816 "connection", 17817 "connotation", 17818 "conscience", 17819 "consciousness", 17820 "consensus", 17821 "consent", 17822 "consequence", 17823 "conservation", 17824 "conservative", 17825 "consideration", 17826 "consignment", 17827 "consist", 17828 "consistency", 17829 "console", 17830 "consonant", 17831 "conspiracy", 17832 "conspirator", 17833 "constant", 17834 "constellation", 17835 "constitution", 17836 "constraint", 17837 "construction", 17838 "consul", 17839 "consulate", 17840 "consulting", 17841 "consumer", 17842 "consumption", 17843 "contact", 17844 "contagion", 17845 "container", 17846 "content", 17847 "contention", 17848 "contest", 17849 "context", 17850 "continent", 17851 "contingency", 17852 "continuity", 17853 "contour", 17854 "contract", 17855 "contractor", 17856 "contrail", 17857 "contrary", 17858 "contrast", 17859 "contribution", 17860 "contributor", 17861 "control", 17862 "controller", 17863 "controversy", 17864 "convection", 17865 "convenience", 17866 "convention", 17867 "conversation", 17868 "conversion", 17869 "convert", 17870 "convertible", 17871 "conviction", 17872 "cook", 17873 "cookbook", 17874 "cookie", 17875 "cooking", 17876 "coonskin", 17877 "cooperation", 17878 "coordination", 17879 "coordinator", 17880 "cop", 17881 "cop-out", 17882 "cope", 17883 "copper", 17884 "copy", 17885 "copying", 17886 "copyright", 17887 "copywriter", 17888 "coral", 17889 "cord", 17890 "corduroy", 17891 "core", 17892 "cork", 17893 "cormorant", 17894 "corn", 17895 "corner", 17896 "cornerstone", 17897 "cornet", 17898 "cornflakes", 17899 "cornmeal", 17900 "corporal", 17901 "corporation", 17902 "corporatism", 17903 "corps", 17904 "corral", 17905 "correspondence", 17906 "correspondent", 17907 "corridor", 17908 "corruption", 17909 "corsage", 17910 "cosset", 17911 "cost", 17912 "costume", 17913 "cot", 17914 "cottage", 17915 "cotton", 17916 "couch", 17917 "cougar", 17918 "cough", 17919 "council", 17920 "councilman", 17921 "councilor", 17922 "councilperson", 17923 "counsel", 17924 "counseling", 17925 "counselling", 17926 "counsellor", 17927 "counselor", 17928 "count", 17929 "counter", 17930 "counter-force", 17931 "counterpart", 17932 "counterterrorism", 17933 "countess", 17934 "country", 17935 "countryside", 17936 "county", 17937 "couple", 17938 "coupon", 17939 "courage", 17940 "course", 17941 "court", 17942 "courthouse", 17943 "courtroom", 17944 "cousin", 17945 "covariate", 17946 "cover", 17947 "coverage", 17948 "coverall", 17949 "cow", 17950 "cowbell", 17951 "cowboy", 17952 "coyote", 17953 "crab", 17954 "crack", 17955 "cracker", 17956 "crackers", 17957 "cradle", 17958 "craft", 17959 "craftsman", 17960 "cranberry", 17961 "crane", 17962 "cranky", 17963 "crap", 17964 "crash", 17965 "crate", 17966 "cravat", 17967 "craw", 17968 "crawdad", 17969 "crayfish", 17970 "crayon", 17971 "crazy", 17972 "cream", 17973 "creation", 17974 "creationism", 17975 "creationist", 17976 "creative", 17977 "creativity", 17978 "creator", 17979 "creature", 17980 "creche", 17981 "credential", 17982 "credenza", 17983 "credibility", 17984 "credit", 17985 "creditor", 17986 "creek", 17987 "crepe", 17988 "crest", 17989 "crew", 17990 "crewman", 17991 "crewmate", 17992 "crewmember", 17993 "crewmen", 17994 "cria", 17995 "crib", 17996 "cribbage", 17997 "cricket", 17998 "cricketer", 17999 "crime", 18000 "criminal", 18001 "crinoline", 18002 "crisis", 18003 "crisp", 18004 "criteria", 18005 "criterion", 18006 "critic", 18007 "criticism", 18008 "crocodile", 18009 "crocus", 18010 "croissant", 18011 "crook", 18012 "crop", 18013 "cross", 18014 "cross-contamination", 18015 "cross-stitch", 18016 "crotch", 18017 "croup", 18018 "crow", 18019 "crowd", 18020 "crown", 18021 "crucifixion", 18022 "crude", 18023 "cruelty", 18024 "cruise", 18025 "crumb", 18026 "crunch", 18027 "crusader", 18028 "crush", 18029 "crust", 18030 "cry", 18031 "crystal", 18032 "crystallography", 18033 "cub", 18034 "cube", 18035 "cuckoo", 18036 "cucumber", 18037 "cue", 18038 "cuff-link", 18039 "cuisine", 18040 "cultivar", 18041 "cultivator", 18042 "culture", 18043 "culvert", 18044 "cummerbund", 18045 "cup", 18046 "cupboard", 18047 "cupcake", 18048 "cupola", 18049 "curd", 18050 "cure", 18051 "curio", 18052 "curiosity", 18053 "curl", 18054 "curler", 18055 "currant", 18056 "currency", 18057 "current", 18058 "curriculum", 18059 "curry", 18060 "curse", 18061 "cursor", 18062 "curtailment", 18063 "curtain", 18064 "curve", 18065 "cushion", 18066 "custard", 18067 "custody", 18068 "custom", 18069 "customer", 18070 "cut", 18071 "cuticle", 18072 "cutlet", 18073 "cutover", 18074 "cutting", 18075 "cyclamen", 18076 "cycle", 18077 "cyclone", 18078 "cyclooxygenase", 18079 "cygnet", 18080 "cylinder", 18081 "cymbal", 18082 "cynic", 18083 "cyst", 18084 "cytokine", 18085 "cytoplasm", 18086 "dad", 18087 "daddy", 18088 "daffodil", 18089 "dagger", 18090 "dahlia", 18091 "daikon", 18092 "daily", 18093 "dairy", 18094 "daisy", 18095 "dam", 18096 "damage", 18097 "dame", 18098 "damn", 18099 "dance", 18100 "dancer", 18101 "dancing", 18102 "dandelion", 18103 "danger", 18104 "dare", 18105 "dark", 18106 "darkness", 18107 "darn", 18108 "dart", 18109 "dash", 18110 "dashboard", 18111 "data", 18112 "database", 18113 "date", 18114 "daughter", 18115 "dawn", 18116 "day", 18117 "daybed", 18118 "daylight", 18119 "dead", 18120 "deadline", 18121 "deal", 18122 "dealer", 18123 "dealing", 18124 "dearest", 18125 "death", 18126 "deathwatch", 18127 "debate", 18128 "debris", 18129 "debt", 18130 "debtor", 18131 "decade", 18132 "decadence", 18133 "decency", 18134 "decimal", 18135 "decision", 18136 "decision-making", 18137 "deck", 18138 "declaration", 18139 "declination", 18140 "decline", 18141 "decoder", 18142 "decongestant", 18143 "decoration", 18144 "decrease", 18145 "decryption", 18146 "dedication", 18147 "deduce", 18148 "deduction", 18149 "deed", 18150 "deep", 18151 "deer", 18152 "default", 18153 "defeat", 18154 "defendant", 18155 "defender", 18156 "defense", 18157 "deficit", 18158 "definition", 18159 "deformation", 18160 "degradation", 18161 "degree", 18162 "delay", 18163 "deliberation", 18164 "delight", 18165 "delivery", 18166 "demand", 18167 "democracy", 18168 "democrat", 18169 "demon", 18170 "demur", 18171 "den", 18172 "denim", 18173 "denominator", 18174 "density", 18175 "dentist", 18176 "deodorant", 18177 "department", 18178 "departure", 18179 "dependency", 18180 "dependent", 18181 "deployment", 18182 "deposit", 18183 "deposition", 18184 "depot", 18185 "depression", 18186 "depressive", 18187 "depth", 18188 "deputy", 18189 "derby", 18190 "derivation", 18191 "derivative", 18192 "derrick", 18193 "descendant", 18194 "descent", 18195 "description", 18196 "desert", 18197 "design", 18198 "designation", 18199 "designer", 18200 "desire", 18201 "desk", 18202 "desktop", 18203 "dessert", 18204 "destination", 18205 "destiny", 18206 "destroyer", 18207 "destruction", 18208 "detail", 18209 "detainee", 18210 "detainment", 18211 "detection", 18212 "detective", 18213 "detector", 18214 "detention", 18215 "determination", 18216 "detour", 18217 "devastation", 18218 "developer", 18219 "developing", 18220 "development", 18221 "developmental", 18222 "deviance", 18223 "deviation", 18224 "device", 18225 "devil", 18226 "dew", 18227 "dhow", 18228 "diabetes", 18229 "diadem", 18230 "diagnosis", 18231 "diagram", 18232 "dial", 18233 "dialect", 18234 "dialogue", 18235 "diam", 18236 "diamond", 18237 "diaper", 18238 "diaphragm", 18239 "diarist", 18240 "diary", 18241 "dibble", 18242 "dick", 18243 "dickey", 18244 "dictaphone", 18245 "dictator", 18246 "diction", 18247 "dictionary", 18248 "die", 18249 "diesel", 18250 "diet", 18251 "difference", 18252 "differential", 18253 "difficulty", 18254 "diffuse", 18255 "dig", 18256 "digestion", 18257 "digestive", 18258 "digger", 18259 "digging", 18260 "digit", 18261 "dignity", 18262 "dilapidation", 18263 "dill", 18264 "dilution", 18265 "dime", 18266 "dimension", 18267 "dimple", 18268 "diner", 18269 "dinghy", 18270 "dining", 18271 "dinner", 18272 "dinosaur", 18273 "dioxide", 18274 "dip", 18275 "diploma", 18276 "diplomacy", 18277 "dipstick", 18278 "direction", 18279 "directive", 18280 "director", 18281 "directory", 18282 "dirndl", 18283 "dirt", 18284 "disability", 18285 "disadvantage", 18286 "disagreement", 18287 "disappointment", 18288 "disarmament", 18289 "disaster", 18290 "discharge", 18291 "discipline", 18292 "disclaimer", 18293 "disclosure", 18294 "disco", 18295 "disconnection", 18296 "discount", 18297 "discourse", 18298 "discovery", 18299 "discrepancy", 18300 "discretion", 18301 "discrimination", 18302 "discussion", 18303 "disdain", 18304 "disease", 18305 "disembodiment", 18306 "disengagement", 18307 "disguise", 18308 "disgust", 18309 "dish", 18310 "dishwasher", 18311 "disk", 18312 "disparity", 18313 "dispatch", 18314 "displacement", 18315 "display", 18316 "disposal", 18317 "disposer", 18318 "disposition", 18319 "dispute", 18320 "disregard", 18321 "disruption", 18322 "dissemination", 18323 "dissonance", 18324 "distance", 18325 "distinction", 18326 "distortion", 18327 "distribution", 18328 "distributor", 18329 "district", 18330 "divalent", 18331 "divan", 18332 "diver", 18333 "diversity", 18334 "divide", 18335 "dividend", 18336 "divider", 18337 "divine", 18338 "diving", 18339 "division", 18340 "divorce", 18341 "doc", 18342 "dock", 18343 "doctor", 18344 "doctorate", 18345 "doctrine", 18346 "document", 18347 "documentary", 18348 "documentation", 18349 "doe", 18350 "dog", 18351 "doggie", 18352 "dogsled", 18353 "dogwood", 18354 "doing", 18355 "doll", 18356 "dollar", 18357 "dollop", 18358 "dolman", 18359 "dolor", 18360 "dolphin", 18361 "domain", 18362 "dome", 18363 "domination", 18364 "donation", 18365 "donkey", 18366 "donor", 18367 "donut", 18368 "door", 18369 "doorbell", 18370 "doorknob", 18371 "doorpost", 18372 "doorway", 18373 "dory", 18374 "dose", 18375 "dot", 18376 "double", 18377 "doubling", 18378 "doubt", 18379 "doubter", 18380 "dough", 18381 "doughnut", 18382 "down", 18383 "downfall", 18384 "downforce", 18385 "downgrade", 18386 "download", 18387 "downstairs", 18388 "downtown", 18389 "downturn", 18390 "dozen", 18391 "draft", 18392 "drag", 18393 "dragon", 18394 "dragonfly", 18395 "dragonfruit", 18396 "dragster", 18397 "drain", 18398 "drainage", 18399 "drake", 18400 "drama", 18401 "dramaturge", 18402 "drapes", 18403 "draw", 18404 "drawbridge", 18405 "drawer", 18406 "drawing", 18407 "dream", 18408 "dreamer", 18409 "dredger", 18410 "dress", 18411 "dresser", 18412 "dressing", 18413 "drill", 18414 "drink", 18415 "drinking", 18416 "drive", 18417 "driver", 18418 "driveway", 18419 "driving", 18420 "drizzle", 18421 "dromedary", 18422 "drop", 18423 "drudgery", 18424 "drug", 18425 "drum", 18426 "drummer", 18427 "drunk", 18428 "dryer", 18429 "duck", 18430 "duckling", 18431 "dud", 18432 "dude", 18433 "due", 18434 "duel", 18435 "dueling", 18436 "duffel", 18437 "dugout", 18438 "dulcimer", 18439 "dumbwaiter", 18440 "dump", 18441 "dune", 18442 "dungarees", 18443 "dungeon", 18444 "duplexer", 18445 "duration", 18446 "durian", 18447 "dusk", 18448 "dust", 18449 "duster", 18450 "duty", 18451 "dwarf", 18452 "dwell", 18453 "dwelling", 18454 "dynamics", 18455 "dynamite", 18456 "dynamo", 18457 "dynasty", 18458 "dysfunction", 18459 "e-book", 18460 "e-mail", 18461 "e-reader", 18462 "eagle", 18463 "eaglet", 18464 "ear", 18465 "eardrum", 18466 "earmuffs", 18467 "earnings", 18468 "earplug", 18469 "earring", 18470 "earrings", 18471 "earth", 18472 "earthquake", 18473 "earthworm", 18474 "ease", 18475 "easel", 18476 "east", 18477 "eating", 18478 "eaves", 18479 "eavesdropper", 18480 "ecclesia", 18481 "echidna", 18482 "eclipse", 18483 "ecliptic", 18484 "ecology", 18485 "economics", 18486 "economy", 18487 "ecosystem", 18488 "ectoderm", 18489 "ectodermal", 18490 "ecumenist", 18491 "eddy", 18492 "edge", 18493 "edger", 18494 "edible", 18495 "editing", 18496 "edition", 18497 "editor", 18498 "editorial", 18499 "education", 18500 "eel", 18501 "effacement", 18502 "effect", 18503 "effective", 18504 "effectiveness", 18505 "effector", 18506 "efficacy", 18507 "efficiency", 18508 "effort", 18509 "egg", 18510 "egghead", 18511 "eggnog", 18512 "eggplant", 18513 "ego", 18514 "eicosanoid", 18515 "ejector", 18516 "elbow", 18517 "elderberry", 18518 "election", 18519 "electricity", 18520 "electrocardiogram", 18521 "electronics", 18522 "element", 18523 "elephant", 18524 "elevation", 18525 "elevator", 18526 "eleventh", 18527 "elf", 18528 "elicit", 18529 "eligibility", 18530 "elimination", 18531 "elite", 18532 "elixir", 18533 "elk", 18534 "ellipse", 18535 "elm", 18536 "elongation", 18537 "elver", 18538 "email", 18539 "emanate", 18540 "embarrassment", 18541 "embassy", 18542 "embellishment", 18543 "embossing", 18544 "embryo", 18545 "emerald", 18546 "emergence", 18547 "emergency", 18548 "emergent", 18549 "emery", 18550 "emission", 18551 "emitter", 18552 "emotion", 18553 "emphasis", 18554 "empire", 18555 "employ", 18556 "employee", 18557 "employer", 18558 "employment", 18559 "empowerment", 18560 "emu", 18561 "enactment", 18562 "encirclement", 18563 "enclave", 18564 "enclosure", 18565 "encounter", 18566 "encouragement", 18567 "encyclopedia", 18568 "end", 18569 "endive", 18570 "endoderm", 18571 "endorsement", 18572 "endothelium", 18573 "endpoint", 18574 "enemy", 18575 "energy", 18576 "enforcement", 18577 "engagement", 18578 "engine", 18579 "engineer", 18580 "engineering", 18581 "enigma", 18582 "enjoyment", 18583 "enquiry", 18584 "enrollment", 18585 "enterprise", 18586 "entertainment", 18587 "enthusiasm", 18588 "entirety", 18589 "entity", 18590 "entrance", 18591 "entree", 18592 "entrepreneur", 18593 "entry", 18594 "envelope", 18595 "environment", 18596 "envy", 18597 "enzyme", 18598 "epauliere", 18599 "epee", 18600 "ephemera", 18601 "ephemeris", 18602 "ephyra", 18603 "epic", 18604 "episode", 18605 "epithelium", 18606 "epoch", 18607 "eponym", 18608 "epoxy", 18609 "equal", 18610 "equality", 18611 "equation", 18612 "equinox", 18613 "equipment", 18614 "equity", 18615 "equivalent", 18616 "era", 18617 "eraser", 18618 "erection", 18619 "erosion", 18620 "error", 18621 "escalator", 18622 "escape", 18623 "escort", 18624 "espadrille", 18625 "espalier", 18626 "essay", 18627 "essence", 18628 "essential", 18629 "establishment", 18630 "estate", 18631 "estimate", 18632 "estrogen", 18633 "estuary", 18634 "eternity", 18635 "ethernet", 18636 "ethics", 18637 "ethnicity", 18638 "ethyl", 18639 "euphonium", 18640 "eurocentrism", 18641 "evaluation", 18642 "evaluator", 18643 "evaporation", 18644 "eve", 18645 "evening", 18646 "evening-wear", 18647 "event", 18648 "everybody", 18649 "everyone", 18650 "everything", 18651 "eviction", 18652 "evidence", 18653 "evil", 18654 "evocation", 18655 "evolution", 18656 "ex-husband", 18657 "ex-wife", 18658 "exaggeration", 18659 "exam", 18660 "examination", 18661 "examiner", 18662 "example", 18663 "exasperation", 18664 "excellence", 18665 "exception", 18666 "excerpt", 18667 "excess", 18668 "exchange", 18669 "excitement", 18670 "exclamation", 18671 "excursion", 18672 "excuse", 18673 "execution", 18674 "executive", 18675 "executor", 18676 "exercise", 18677 "exhaust", 18678 "exhaustion", 18679 "exhibit", 18680 "exhibition", 18681 "exile", 18682 "existence", 18683 "exit", 18684 "exocrine", 18685 "expansion", 18686 "expansionism", 18687 "expectancy", 18688 "expectation", 18689 "expedition", 18690 "expense", 18691 "experience", 18692 "experiment", 18693 "experimentation", 18694 "expert", 18695 "expertise", 18696 "explanation", 18697 "exploration", 18698 "explorer", 18699 "explosion", 18700 "export", 18701 "expose", 18702 "exposition", 18703 "exposure", 18704 "expression", 18705 "extension", 18706 "extent", 18707 "exterior", 18708 "external", 18709 "extinction", 18710 "extreme", 18711 "extremist", 18712 "eye", 18713 "eyeball", 18714 "eyebrow", 18715 "eyebrows", 18716 "eyeglasses", 18717 "eyelash", 18718 "eyelashes", 18719 "eyelid", 18720 "eyelids", 18721 "eyeliner", 18722 "eyestrain", 18723 "eyrie", 18724 "fabric", 18725 "face", 18726 "facelift", 18727 "facet", 18728 "facility", 18729 "facsimile", 18730 "fact", 18731 "factor", 18732 "factory", 18733 "faculty", 18734 "fahrenheit", 18735 "fail", 18736 "failure", 18737 "fairness", 18738 "fairy", 18739 "faith", 18740 "faithful", 18741 "fall", 18742 "fallacy", 18743 "falling-out", 18744 "fame", 18745 "familiar", 18746 "familiarity", 18747 "family", 18748 "fan", 18749 "fang", 18750 "fanlight", 18751 "fanny", 18752 "fanny-pack", 18753 "fantasy", 18754 "farm", 18755 "farmer", 18756 "farming", 18757 "farmland", 18758 "farrow", 18759 "fascia", 18760 "fashion", 18761 "fat", 18762 "fate", 18763 "father", 18764 "father-in-law", 18765 "fatigue", 18766 "fatigues", 18767 "faucet", 18768 "fault", 18769 "fav", 18770 "fava", 18771 "favor", 18772 "favorite", 18773 "fawn", 18774 "fax", 18775 "fear", 18776 "feast", 18777 "feather", 18778 "feature", 18779 "fedelini", 18780 "federation", 18781 "fedora", 18782 "fee", 18783 "feed", 18784 "feedback", 18785 "feeding", 18786 "feel", 18787 "feeling", 18788 "fellow", 18789 "felony", 18790 "female", 18791 "fen", 18792 "fence", 18793 "fencing", 18794 "fender", 18795 "feng", 18796 "fennel", 18797 "ferret", 18798 "ferry", 18799 "ferryboat", 18800 "fertilizer", 18801 "festival", 18802 "fetus", 18803 "few", 18804 "fiber", 18805 "fiberglass", 18806 "fibre", 18807 "fibroblast", 18808 "fibrosis", 18809 "ficlet", 18810 "fiction", 18811 "fiddle", 18812 "field", 18813 "fiery", 18814 "fiesta", 18815 "fifth", 18816 "fig", 18817 "fight", 18818 "fighter", 18819 "figure", 18820 "figurine", 18821 "file", 18822 "filing", 18823 "fill", 18824 "fillet", 18825 "filly", 18826 "film", 18827 "filter", 18828 "filth", 18829 "final", 18830 "finance", 18831 "financing", 18832 "finding", 18833 "fine", 18834 "finer", 18835 "finger", 18836 "fingerling", 18837 "fingernail", 18838 "finish", 18839 "finisher", 18840 "fir", 18841 "fire", 18842 "fireman", 18843 "fireplace", 18844 "firewall", 18845 "firm", 18846 "first", 18847 "fish", 18848 "fishbone", 18849 "fisherman", 18850 "fishery", 18851 "fishing", 18852 "fishmonger", 18853 "fishnet", 18854 "fisting", 18855 "fit", 18856 "fitness", 18857 "fix", 18858 "fixture", 18859 "flag", 18860 "flair", 18861 "flame", 18862 "flan", 18863 "flanker", 18864 "flare", 18865 "flash", 18866 "flat", 18867 "flatboat", 18868 "flavor", 18869 "flax", 18870 "fleck", 18871 "fledgling", 18872 "fleece", 18873 "flesh", 18874 "flexibility", 18875 "flick", 18876 "flicker", 18877 "flight", 18878 "flint", 18879 "flintlock", 18880 "flip-flops", 18881 "flock", 18882 "flood", 18883 "floodplain", 18884 "floor", 18885 "floozie", 18886 "flour", 18887 "flow", 18888 "flower", 18889 "flu", 18890 "flugelhorn", 18891 "fluke", 18892 "flume", 18893 "flung", 18894 "flute", 18895 "fly", 18896 "flytrap", 18897 "foal", 18898 "foam", 18899 "fob", 18900 "focus", 18901 "fog", 18902 "fold", 18903 "folder", 18904 "folk", 18905 "folklore", 18906 "follower", 18907 "following", 18908 "fondue", 18909 "font", 18910 "food", 18911 "foodstuffs", 18912 "fool", 18913 "foot", 18914 "footage", 18915 "football", 18916 "footnote", 18917 "footprint", 18918 "footrest", 18919 "footstep", 18920 "footstool", 18921 "footwear", 18922 "forage", 18923 "forager", 18924 "foray", 18925 "force", 18926 "ford", 18927 "forearm", 18928 "forebear", 18929 "forecast", 18930 "forehead", 18931 "foreigner", 18932 "forelimb", 18933 "forest", 18934 "forestry", 18935 "forever", 18936 "forgery", 18937 "fork", 18938 "form", 18939 "formal", 18940 "formamide", 18941 "format", 18942 "formation", 18943 "former", 18944 "formicarium", 18945 "formula", 18946 "fort", 18947 "forte", 18948 "fortnight", 18949 "fortress", 18950 "fortune", 18951 "forum", 18952 "foundation", 18953 "founder", 18954 "founding", 18955 "fountain", 18956 "fourths", 18957 "fowl", 18958 "fox", 18959 "foxglove", 18960 "fraction", 18961 "fragrance", 18962 "frame", 18963 "framework", 18964 "fratricide", 18965 "fraud", 18966 "fraudster", 18967 "freak", 18968 "freckle", 18969 "freedom", 18970 "freelance", 18971 "freezer", 18972 "freezing", 18973 "freight", 18974 "freighter", 18975 "frenzy", 18976 "freon", 18977 "frequency", 18978 "fresco", 18979 "friction", 18980 "fridge", 18981 "friend", 18982 "friendship", 18983 "fries", 18984 "frigate", 18985 "fright", 18986 "fringe", 18987 "fritter", 18988 "frock", 18989 "frog", 18990 "front", 18991 "frontier", 18992 "frost", 18993 "frosting", 18994 "frown", 18995 "fruit", 18996 "frustration", 18997 "fry", 18998 "fuck", 18999 "fuel", 19000 "fugato", 19001 "fulfillment", 19002 "full", 19003 "fun", 19004 "function", 19005 "functionality", 19006 "fund", 19007 "funding", 19008 "fundraising", 19009 "funeral", 19010 "fur", 19011 "furnace", 19012 "furniture", 19013 "furry", 19014 "fusarium", 19015 "futon", 19016 "future", 19017 "gadget", 19018 "gaffe", 19019 "gaffer", 19020 "gain", 19021 "gaiters", 19022 "gale", 19023 "gall-bladder", 19024 "gallery", 19025 "galley", 19026 "gallon", 19027 "galoshes", 19028 "gambling", 19029 "game", 19030 "gamebird", 19031 "gaming", 19032 "gamma-ray", 19033 "gander", 19034 "gang", 19035 "gap", 19036 "garage", 19037 "garb", 19038 "garbage", 19039 "garden", 19040 "garlic", 19041 "garment", 19042 "garter", 19043 "gas", 19044 "gasket", 19045 "gasoline", 19046 "gasp", 19047 "gastronomy", 19048 "gastropod", 19049 "gate", 19050 "gateway", 19051 "gather", 19052 "gathering", 19053 "gator", 19054 "gauge", 19055 "gauntlet", 19056 "gavel", 19057 "gazebo", 19058 "gazelle", 19059 "gear", 19060 "gearshift", 19061 "geek", 19062 "gel", 19063 "gelatin", 19064 "gelding", 19065 "gem", 19066 "gemsbok", 19067 "gender", 19068 "gene", 19069 "general", 19070 "generation", 19071 "generator", 19072 "generosity", 19073 "genetics", 19074 "genie", 19075 "genius", 19076 "genocide", 19077 "genre", 19078 "gentleman", 19079 "geography", 19080 "geology", 19081 "geometry", 19082 "geranium", 19083 "gerbil", 19084 "gesture", 19085 "geyser", 19086 "gherkin", 19087 "ghost", 19088 "giant", 19089 "gift", 19090 "gig", 19091 "gigantism", 19092 "giggle", 19093 "ginger", 19094 "gingerbread", 19095 "ginseng", 19096 "giraffe", 19097 "girdle", 19098 "girl", 19099 "girlfriend", 19100 "git", 19101 "glacier", 19102 "gladiolus", 19103 "glance", 19104 "gland", 19105 "glass", 19106 "glasses", 19107 "glee", 19108 "glen", 19109 "glider", 19110 "gliding", 19111 "glimpse", 19112 "globe", 19113 "glockenspiel", 19114 "gloom", 19115 "glory", 19116 "glove", 19117 "glow", 19118 "glucose", 19119 "glue", 19120 "glut", 19121 "glutamate", 19122 "gnat", 19123 "gnu", 19124 "go-kart", 19125 "goal", 19126 "goat", 19127 "gobbler", 19128 "god", 19129 "goddess", 19130 "godfather", 19131 "godmother", 19132 "godparent", 19133 "goggles", 19134 "going", 19135 "gold", 19136 "goldfish", 19137 "golf", 19138 "gondola", 19139 "gong", 19140 "good", 19141 "good-bye", 19142 "goodbye", 19143 "goodie", 19144 "goodness", 19145 "goodnight", 19146 "goodwill", 19147 "goose", 19148 "gopher", 19149 "gorilla", 19150 "gosling", 19151 "gossip", 19152 "governance", 19153 "government", 19154 "governor", 19155 "gown", 19156 "grab-bag", 19157 "grace", 19158 "grade", 19159 "gradient", 19160 "graduate", 19161 "graduation", 19162 "graffiti", 19163 "graft", 19164 "grain", 19165 "gram", 19166 "grammar", 19167 "gran", 19168 "grand", 19169 "grandchild", 19170 "granddaughter", 19171 "grandfather", 19172 "grandma", 19173 "grandmom", 19174 "grandmother", 19175 "grandpa", 19176 "grandparent", 19177 "grandson", 19178 "granny", 19179 "granola", 19180 "grant", 19181 "grape", 19182 "grapefruit", 19183 "graph", 19184 "graphic", 19185 "grasp", 19186 "grass", 19187 "grasshopper", 19188 "grassland", 19189 "gratitude", 19190 "gravel", 19191 "gravitas", 19192 "gravity", 19193 "gravy", 19194 "gray", 19195 "grease", 19196 "great-grandfather", 19197 "great-grandmother", 19198 "greatness", 19199 "greed", 19200 "green", 19201 "greenhouse", 19202 "greens", 19203 "grenade", 19204 "grey", 19205 "grid", 19206 "grief", 19207 "grill", 19208 "grin", 19209 "grip", 19210 "gripper", 19211 "grit", 19212 "grocery", 19213 "ground", 19214 "group", 19215 "grouper", 19216 "grouse", 19217 "grove", 19218 "growth", 19219 "grub", 19220 "guacamole", 19221 "guarantee", 19222 "guard", 19223 "guava", 19224 "guerrilla", 19225 "guess", 19226 "guest", 19227 "guestbook", 19228 "guidance", 19229 "guide", 19230 "guideline", 19231 "guilder", 19232 "guilt", 19233 "guilty", 19234 "guinea", 19235 "guitar", 19236 "guitarist", 19237 "gum", 19238 "gumshoe", 19239 "gun", 19240 "gunpowder", 19241 "gutter", 19242 "guy", 19243 "gym", 19244 "gymnast", 19245 "gymnastics", 19246 "gynaecology", 19247 "gyro", 19248 "habit", 19249 "habitat", 19250 "hacienda", 19251 "hacksaw", 19252 "hackwork", 19253 "hail", 19254 "hair", 19255 "haircut", 19256 "hake", 19257 "half", 19258 "half-brother", 19259 "half-sister", 19260 "halibut", 19261 "hall", 19262 "halloween", 19263 "hallway", 19264 "halt", 19265 "ham", 19266 "hamburger", 19267 "hammer", 19268 "hammock", 19269 "hamster", 19270 "hand", 19271 "hand-holding", 19272 "handball", 19273 "handful", 19274 "handgun", 19275 "handicap", 19276 "handle", 19277 "handlebar", 19278 "handmaiden", 19279 "handover", 19280 "handrail", 19281 "handsaw", 19282 "hanger", 19283 "happening", 19284 "happiness", 19285 "harald", 19286 "harbor", 19287 "harbour", 19288 "hard-hat", 19289 "hardboard", 19290 "hardcover", 19291 "hardening", 19292 "hardhat", 19293 "hardship", 19294 "hardware", 19295 "hare", 19296 "harm", 19297 "harmonica", 19298 "harmonise", 19299 "harmonize", 19300 "harmony", 19301 "harp", 19302 "harpooner", 19303 "harpsichord", 19304 "harvest", 19305 "harvester", 19306 "hash", 19307 "hashtag", 19308 "hassock", 19309 "haste", 19310 "hat", 19311 "hatbox", 19312 "hatchet", 19313 "hatchling", 19314 "hate", 19315 "hatred", 19316 "haunt", 19317 "haven", 19318 "haversack", 19319 "havoc", 19320 "hawk", 19321 "hay", 19322 "haze", 19323 "hazel", 19324 "hazelnut", 19325 "head", 19326 "headache", 19327 "headlight", 19328 "headline", 19329 "headphones", 19330 "headquarters", 19331 "headrest", 19332 "health", 19333 "health-care", 19334 "hearing", 19335 "hearsay", 19336 "heart", 19337 "heart-throb", 19338 "heartache", 19339 "heartbeat", 19340 "hearth", 19341 "hearthside", 19342 "heartwood", 19343 "heat", 19344 "heater", 19345 "heating", 19346 "heaven", 19347 "heavy", 19348 "hectare", 19349 "hedge", 19350 "hedgehog", 19351 "heel", 19352 "heifer", 19353 "height", 19354 "heir", 19355 "heirloom", 19356 "helicopter", 19357 "helium", 19358 "hell", 19359 "hellcat", 19360 "hello", 19361 "helmet", 19362 "helo", 19363 "help", 19364 "hemisphere", 19365 "hemp", 19366 "hen", 19367 "hepatitis", 19368 "herb", 19369 "herbs", 19370 "heritage", 19371 "hermit", 19372 "hero", 19373 "heroine", 19374 "heron", 19375 "herring", 19376 "hesitation", 19377 "heterosexual", 19378 "hexagon", 19379 "heyday", 19380 "hiccups", 19381 "hide", 19382 "hierarchy", 19383 "high", 19384 "high-rise", 19385 "highland", 19386 "highlight", 19387 "highway", 19388 "hike", 19389 "hiking", 19390 "hill", 19391 "hint", 19392 "hip", 19393 "hippodrome", 19394 "hippopotamus", 19395 "hire", 19396 "hiring", 19397 "historian", 19398 "history", 19399 "hit", 19400 "hive", 19401 "hobbit", 19402 "hobby", 19403 "hockey", 19404 "hoe", 19405 "hog", 19406 "hold", 19407 "holder", 19408 "hole", 19409 "holiday", 19410 "home", 19411 "homeland", 19412 "homeownership", 19413 "hometown", 19414 "homework", 19415 "homicide", 19416 "homogenate", 19417 "homonym", 19418 "homosexual", 19419 "homosexuality", 19420 "honesty", 19421 "honey", 19422 "honeybee", 19423 "honeydew", 19424 "honor", 19425 "honoree", 19426 "hood", 19427 "hoof", 19428 "hook", 19429 "hop", 19430 "hope", 19431 "hops", 19432 "horde", 19433 "horizon", 19434 "hormone", 19435 "horn", 19436 "hornet", 19437 "horror", 19438 "horse", 19439 "horseradish", 19440 "horst", 19441 "hose", 19442 "hosiery", 19443 "hospice", 19444 "hospital", 19445 "hospitalisation", 19446 "hospitality", 19447 "hospitalization", 19448 "host", 19449 "hostel", 19450 "hostess", 19451 "hotdog", 19452 "hotel", 19453 "hound", 19454 "hour", 19455 "hourglass", 19456 "house", 19457 "houseboat", 19458 "household", 19459 "housewife", 19460 "housework", 19461 "housing", 19462 "hovel", 19463 "hovercraft", 19464 "howard", 19465 "howitzer", 19466 "hub", 19467 "hubcap", 19468 "hubris", 19469 "hug", 19470 "hugger", 19471 "hull", 19472 "human", 19473 "humanity", 19474 "humidity", 19475 "hummus", 19476 "humor", 19477 "humour", 19478 "hunchback", 19479 "hundred", 19480 "hunger", 19481 "hunt", 19482 "hunter", 19483 "hunting", 19484 "hurdle", 19485 "hurdler", 19486 "hurricane", 19487 "hurry", 19488 "hurt", 19489 "husband", 19490 "hut", 19491 "hutch", 19492 "hyacinth", 19493 "hybridisation", 19494 "hybridization", 19495 "hydrant", 19496 "hydraulics", 19497 "hydrocarb", 19498 "hydrocarbon", 19499 "hydrofoil", 19500 "hydrogen", 19501 "hydrolyse", 19502 "hydrolysis", 19503 "hydrolyze", 19504 "hydroxyl", 19505 "hyena", 19506 "hygienic", 19507 "hype", 19508 "hyphenation", 19509 "hypochondria", 19510 "hypothermia", 19511 "hypothesis", 19512 "ice", 19513 "ice-cream", 19514 "iceberg", 19515 "icebreaker", 19516 "icecream", 19517 "icicle", 19518 "icing", 19519 "icon", 19520 "icy", 19521 "id", 19522 "idea", 19523 "ideal", 19524 "identification", 19525 "identity", 19526 "ideology", 19527 "idiom", 19528 "idiot", 19529 "igloo", 19530 "ignorance", 19531 "ignorant", 19532 "ikebana", 19533 "illegal", 19534 "illiteracy", 19535 "illness", 19536 "illusion", 19537 "illustration", 19538 "image", 19539 "imagination", 19540 "imbalance", 19541 "imitation", 19542 "immigrant", 19543 "immigration", 19544 "immortal", 19545 "impact", 19546 "impairment", 19547 "impala", 19548 "impediment", 19549 "implement", 19550 "implementation", 19551 "implication", 19552 "import", 19553 "importance", 19554 "impostor", 19555 "impress", 19556 "impression", 19557 "imprisonment", 19558 "impropriety", 19559 "improvement", 19560 "impudence", 19561 "impulse", 19562 "in-joke", 19563 "in-laws", 19564 "inability", 19565 "inauguration", 19566 "inbox", 19567 "incandescence", 19568 "incarnation", 19569 "incense", 19570 "incentive", 19571 "inch", 19572 "incidence", 19573 "incident", 19574 "incision", 19575 "inclusion", 19576 "income", 19577 "incompetence", 19578 "inconvenience", 19579 "increase", 19580 "incubation", 19581 "independence", 19582 "independent", 19583 "index", 19584 "indication", 19585 "indicator", 19586 "indigence", 19587 "individual", 19588 "industrialisation", 19589 "industrialization", 19590 "industry", 19591 "inequality", 19592 "inevitable", 19593 "infancy", 19594 "infant", 19595 "infarction", 19596 "infection", 19597 "infiltration", 19598 "infinite", 19599 "infix", 19600 "inflammation", 19601 "inflation", 19602 "influence", 19603 "influx", 19604 "info", 19605 "information", 19606 "infrastructure", 19607 "infusion", 19608 "inglenook", 19609 "ingrate", 19610 "ingredient", 19611 "inhabitant", 19612 "inheritance", 19613 "inhibition", 19614 "inhibitor", 19615 "initial", 19616 "initialise", 19617 "initialize", 19618 "initiative", 19619 "injunction", 19620 "injury", 19621 "injustice", 19622 "ink", 19623 "inlay", 19624 "inn", 19625 "innervation", 19626 "innocence", 19627 "innocent", 19628 "innovation", 19629 "input", 19630 "inquiry", 19631 "inscription", 19632 "insect", 19633 "insectarium", 19634 "insert", 19635 "inside", 19636 "insight", 19637 "insolence", 19638 "insomnia", 19639 "inspection", 19640 "inspector", 19641 "inspiration", 19642 "installation", 19643 "instance", 19644 "instant", 19645 "instinct", 19646 "institute", 19647 "institution", 19648 "instruction", 19649 "instructor", 19650 "instrument", 19651 "instrumentalist", 19652 "instrumentation", 19653 "insulation", 19654 "insurance", 19655 "insurgence", 19656 "insurrection", 19657 "integer", 19658 "integral", 19659 "integration", 19660 "integrity", 19661 "intellect", 19662 "intelligence", 19663 "intensity", 19664 "intent", 19665 "intention", 19666 "intentionality", 19667 "interaction", 19668 "interchange", 19669 "interconnection", 19670 "intercourse", 19671 "interest", 19672 "interface", 19673 "interferometer", 19674 "interior", 19675 "interject", 19676 "interloper", 19677 "internet", 19678 "interpretation", 19679 "interpreter", 19680 "interval", 19681 "intervenor", 19682 "intervention", 19683 "interview", 19684 "interviewer", 19685 "intestine", 19686 "introduction", 19687 "intuition", 19688 "invader", 19689 "invasion", 19690 "invention", 19691 "inventor", 19692 "inventory", 19693 "inverse", 19694 "inversion", 19695 "investigation", 19696 "investigator", 19697 "investment", 19698 "investor", 19699 "invitation", 19700 "invite", 19701 "invoice", 19702 "involvement", 19703 "iridescence", 19704 "iris", 19705 "iron", 19706 "ironclad", 19707 "irony", 19708 "irrigation", 19709 "ischemia", 19710 "island", 19711 "isogloss", 19712 "isolation", 19713 "issue", 19714 "item", 19715 "itinerary", 19716 "ivory", 19717 "jack", 19718 "jackal", 19719 "jacket", 19720 "jackfruit", 19721 "jade", 19722 "jaguar", 19723 "jail", 19724 "jailhouse", 19725 "jalapeño", 19726 "jam", 19727 "jar", 19728 "jasmine", 19729 "jaw", 19730 "jazz", 19731 "jealousy", 19732 "jeans", 19733 "jeep", 19734 "jelly", 19735 "jellybeans", 19736 "jellyfish", 19737 "jerk", 19738 "jet", 19739 "jewel", 19740 "jeweller", 19741 "jewellery", 19742 "jewelry", 19743 "jicama", 19744 "jiffy", 19745 "job", 19746 "jockey", 19747 "jodhpurs", 19748 "joey", 19749 "jogging", 19750 "joint", 19751 "joke", 19752 "jot", 19753 "journal", 19754 "journalism", 19755 "journalist", 19756 "journey", 19757 "joy", 19758 "judge", 19759 "judgment", 19760 "judo", 19761 "jug", 19762 "juggernaut", 19763 "juice", 19764 "julienne", 19765 "jumbo", 19766 "jump", 19767 "jumper", 19768 "jumpsuit", 19769 "jungle", 19770 "junior", 19771 "junk", 19772 "junker", 19773 "junket", 19774 "jury", 19775 "justice", 19776 "justification", 19777 "jute", 19778 "kale", 19779 "kamikaze", 19780 "kangaroo", 19781 "karate", 19782 "kayak", 19783 "kazoo", 19784 "kebab", 19785 "keep", 19786 "keeper", 19787 "kendo", 19788 "kennel", 19789 "ketch", 19790 "ketchup", 19791 "kettle", 19792 "kettledrum", 19793 "key", 19794 "keyboard", 19795 "keyboarding", 19796 "keystone", 19797 "kick", 19798 "kick-off", 19799 "kid", 19800 "kidney", 19801 "kielbasa", 19802 "kill", 19803 "killer", 19804 "killing", 19805 "kilogram", 19806 "kilometer", 19807 "kilt", 19808 "kimono", 19809 "kinase", 19810 "kind", 19811 "kindness", 19812 "king", 19813 "kingdom", 19814 "kingfish", 19815 "kiosk", 19816 "kiss", 19817 "kit", 19818 "kitchen", 19819 "kite", 19820 "kitsch", 19821 "kitten", 19822 "kitty", 19823 "kiwi", 19824 "knee", 19825 "kneejerk", 19826 "knickers", 19827 "knife", 19828 "knife-edge", 19829 "knight", 19830 "knitting", 19831 "knock", 19832 "knot", 19833 "know-how", 19834 "knowledge", 19835 "knuckle", 19836 "koala", 19837 "kohlrabi", 19838 "kumquat", 19839 "lab", 19840 "label", 19841 "labor", 19842 "laboratory", 19843 "laborer", 19844 "labour", 19845 "labourer", 19846 "lace", 19847 "lack", 19848 "lacquerware", 19849 "lad", 19850 "ladder", 19851 "ladle", 19852 "lady", 19853 "ladybug", 19854 "lag", 19855 "lake", 19856 "lamb", 19857 "lambkin", 19858 "lament", 19859 "lamp", 19860 "lanai", 19861 "land", 19862 "landform", 19863 "landing", 19864 "landmine", 19865 "landscape", 19866 "lane", 19867 "language", 19868 "lantern", 19869 "lap", 19870 "laparoscope", 19871 "lapdog", 19872 "laptop", 19873 "larch", 19874 "lard", 19875 "larder", 19876 "lark", 19877 "larva", 19878 "laryngitis", 19879 "lasagna", 19880 "lashes", 19881 "last", 19882 "latency", 19883 "latex", 19884 "lathe", 19885 "latitude", 19886 "latte", 19887 "latter", 19888 "laugh", 19889 "laughter", 19890 "laundry", 19891 "lava", 19892 "law", 19893 "lawmaker", 19894 "lawn", 19895 "lawsuit", 19896 "lawyer", 19897 "lay", 19898 "layer", 19899 "layout", 19900 "lead", 19901 "leader", 19902 "leadership", 19903 "leading", 19904 "leaf", 19905 "league", 19906 "leaker", 19907 "leap", 19908 "learning", 19909 "leash", 19910 "leather", 19911 "leave", 19912 "leaver", 19913 "lecture", 19914 "leek", 19915 "leeway", 19916 "left", 19917 "leg", 19918 "legacy", 19919 "legal", 19920 "legend", 19921 "legging", 19922 "legislation", 19923 "legislator", 19924 "legislature", 19925 "legitimacy", 19926 "legume", 19927 "leisure", 19928 "lemon", 19929 "lemonade", 19930 "lemur", 19931 "lender", 19932 "lending", 19933 "length", 19934 "lens", 19935 "lentil", 19936 "leopard", 19937 "leprosy", 19938 "leptocephalus", 19939 "lesbian", 19940 "lesson", 19941 "letter", 19942 "lettuce", 19943 "level", 19944 "lever", 19945 "leverage", 19946 "leveret", 19947 "liability", 19948 "liar", 19949 "liberty", 19950 "libido", 19951 "library", 19952 "licence", 19953 "license", 19954 "licensing", 19955 "licorice", 19956 "lid", 19957 "lie", 19958 "lieu", 19959 "lieutenant", 19960 "life", 19961 "lifestyle", 19962 "lifetime", 19963 "lift", 19964 "ligand", 19965 "light", 19966 "lighting", 19967 "lightning", 19968 "lightscreen", 19969 "ligula", 19970 "likelihood", 19971 "likeness", 19972 "lilac", 19973 "lily", 19974 "limb", 19975 "lime", 19976 "limestone", 19977 "limit", 19978 "limitation", 19979 "limo", 19980 "line", 19981 "linen", 19982 "liner", 19983 "linguist", 19984 "linguistics", 19985 "lining", 19986 "link", 19987 "linkage", 19988 "linseed", 19989 "lion", 19990 "lip", 19991 "lipid", 19992 "lipoprotein", 19993 "lipstick", 19994 "liquid", 19995 "liquidity", 19996 "liquor", 19997 "list", 19998 "listening", 19999 "listing", 20000 "literate", 20001 "literature", 20002 "litigation", 20003 "litmus", 20004 "litter", 20005 "littleneck", 20006 "liver", 20007 "livestock", 20008 "living", 20009 "lizard", 20010 "llama", 20011 "load", 20012 "loading", 20013 "loaf", 20014 "loafer", 20015 "loan", 20016 "lobby", 20017 "lobotomy", 20018 "lobster", 20019 "local", 20020 "locality", 20021 "location", 20022 "lock", 20023 "locker", 20024 "locket", 20025 "locomotive", 20026 "locust", 20027 "lode", 20028 "loft", 20029 "log", 20030 "loggia", 20031 "logic", 20032 "login", 20033 "logistics", 20034 "logo", 20035 "loincloth", 20036 "lollipop", 20037 "loneliness", 20038 "longboat", 20039 "longitude", 20040 "look", 20041 "lookout", 20042 "loop", 20043 "loophole", 20044 "loquat", 20045 "lord", 20046 "loss", 20047 "lot", 20048 "lotion", 20049 "lottery", 20050 "lounge", 20051 "louse", 20052 "lout", 20053 "love", 20054 "lover", 20055 "lox", 20056 "loyalty", 20057 "luck", 20058 "luggage", 20059 "lumber", 20060 "lumberman", 20061 "lunch", 20062 "luncheonette", 20063 "lunchmeat", 20064 "lunchroom", 20065 "lung", 20066 "lunge", 20067 "lust", 20068 "lute", 20069 "luxury", 20070 "lychee", 20071 "lycra", 20072 "lye", 20073 "lymphocyte", 20074 "lynx", 20075 "lyocell", 20076 "lyre", 20077 "lyrics", 20078 "lysine", 20079 "mRNA", 20080 "macadamia", 20081 "macaroni", 20082 "macaroon", 20083 "macaw", 20084 "machine", 20085 "machinery", 20086 "macrame", 20087 "macro", 20088 "macrofauna", 20089 "madam", 20090 "maelstrom", 20091 "maestro", 20092 "magazine", 20093 "maggot", 20094 "magic", 20095 "magnet", 20096 "magnitude", 20097 "maid", 20098 "maiden", 20099 "mail", 20100 "mailbox", 20101 "mailer", 20102 "mailing", 20103 "mailman", 20104 "main", 20105 "mainland", 20106 "mainstream", 20107 "maintainer", 20108 "maintenance", 20109 "maize", 20110 "major", 20111 "major-league", 20112 "majority", 20113 "makeover", 20114 "maker", 20115 "makeup", 20116 "making", 20117 "male", 20118 "malice", 20119 "mall", 20120 "mallard", 20121 "mallet", 20122 "malnutrition", 20123 "mama", 20124 "mambo", 20125 "mammoth", 20126 "man", 20127 "manacle", 20128 "management", 20129 "manager", 20130 "manatee", 20131 "mandarin", 20132 "mandate", 20133 "mandolin", 20134 "mangle", 20135 "mango", 20136 "mangrove", 20137 "manhunt", 20138 "maniac", 20139 "manicure", 20140 "manifestation", 20141 "manipulation", 20142 "mankind", 20143 "manner", 20144 "manor", 20145 "mansard", 20146 "manservant", 20147 "mansion", 20148 "mantel", 20149 "mantle", 20150 "mantua", 20151 "manufacturer", 20152 "manufacturing", 20153 "many", 20154 "map", 20155 "maple", 20156 "mapping", 20157 "maracas", 20158 "marathon", 20159 "marble", 20160 "march", 20161 "mare", 20162 "margarine", 20163 "margin", 20164 "mariachi", 20165 "marimba", 20166 "marines", 20167 "marionberry", 20168 "mark", 20169 "marker", 20170 "market", 20171 "marketer", 20172 "marketing", 20173 "marketplace", 20174 "marksman", 20175 "markup", 20176 "marmalade", 20177 "marriage", 20178 "marsh", 20179 "marshland", 20180 "marshmallow", 20181 "marten", 20182 "marxism", 20183 "mascara", 20184 "mask", 20185 "masonry", 20186 "mass", 20187 "massage", 20188 "mast", 20189 "master", 20190 "masterpiece", 20191 "mastication", 20192 "mastoid", 20193 "mat", 20194 "match", 20195 "matchmaker", 20196 "mate", 20197 "material", 20198 "maternity", 20199 "math", 20200 "mathematics", 20201 "matrix", 20202 "matter", 20203 "mattock", 20204 "mattress", 20205 "max", 20206 "maximum", 20207 "maybe", 20208 "mayonnaise", 20209 "mayor", 20210 "meadow", 20211 "meal", 20212 "mean", 20213 "meander", 20214 "meaning", 20215 "means", 20216 "meantime", 20217 "measles", 20218 "measure", 20219 "measurement", 20220 "meat", 20221 "meatball", 20222 "meatloaf", 20223 "mecca", 20224 "mechanic", 20225 "mechanism", 20226 "med", 20227 "medal", 20228 "media", 20229 "median", 20230 "medication", 20231 "medicine", 20232 "medium", 20233 "meet", 20234 "meeting", 20235 "melatonin", 20236 "melody", 20237 "melon", 20238 "member", 20239 "membership", 20240 "membrane", 20241 "meme", 20242 "memo", 20243 "memorial", 20244 "memory", 20245 "men", 20246 "menopause", 20247 "menorah", 20248 "mention", 20249 "mentor", 20250 "menu", 20251 "merchandise", 20252 "merchant", 20253 "mercury", 20254 "meridian", 20255 "meringue", 20256 "merit", 20257 "mesenchyme", 20258 "mess", 20259 "message", 20260 "messenger", 20261 "messy", 20262 "metabolite", 20263 "metal", 20264 "metallurgist", 20265 "metaphor", 20266 "meteor", 20267 "meteorology", 20268 "meter", 20269 "methane", 20270 "method", 20271 "methodology", 20272 "metric", 20273 "metro", 20274 "metronome", 20275 "mezzanine", 20276 "microlending", 20277 "micronutrient", 20278 "microphone", 20279 "microwave", 20280 "mid-course", 20281 "midden", 20282 "middle", 20283 "middleman", 20284 "midline", 20285 "midnight", 20286 "midwife", 20287 "might", 20288 "migrant", 20289 "migration", 20290 "mile", 20291 "mileage", 20292 "milepost", 20293 "milestone", 20294 "military", 20295 "milk", 20296 "milkshake", 20297 "mill", 20298 "millennium", 20299 "millet", 20300 "millimeter", 20301 "million", 20302 "millisecond", 20303 "millstone", 20304 "mime", 20305 "mimosa", 20306 "min", 20307 "mincemeat", 20308 "mind", 20309 "mine", 20310 "mineral", 20311 "mineshaft", 20312 "mini", 20313 "mini-skirt", 20314 "minibus", 20315 "minimalism", 20316 "minimum", 20317 "mining", 20318 "minion", 20319 "minister", 20320 "mink", 20321 "minnow", 20322 "minor", 20323 "minor-league", 20324 "minority", 20325 "mint", 20326 "minute", 20327 "miracle", 20328 "mirror", 20329 "miscarriage", 20330 "miscommunication", 20331 "misfit", 20332 "misnomer", 20333 "misogyny", 20334 "misplacement", 20335 "misreading", 20336 "misrepresentation", 20337 "miss", 20338 "missile", 20339 "mission", 20340 "missionary", 20341 "mist", 20342 "mistake", 20343 "mister", 20344 "misunderstand", 20345 "miter", 20346 "mitten", 20347 "mix", 20348 "mixer", 20349 "mixture", 20350 "moai", 20351 "moat", 20352 "mob", 20353 "mobile", 20354 "mobility", 20355 "mobster", 20356 "moccasins", 20357 "mocha", 20358 "mochi", 20359 "mode", 20360 "model", 20361 "modeling", 20362 "modem", 20363 "modernist", 20364 "modernity", 20365 "modification", 20366 "molar", 20367 "molasses", 20368 "molding", 20369 "mole", 20370 "molecule", 20371 "mom", 20372 "moment", 20373 "monastery", 20374 "monasticism", 20375 "money", 20376 "monger", 20377 "monitor", 20378 "monitoring", 20379 "monk", 20380 "monkey", 20381 "monocle", 20382 "monopoly", 20383 "monotheism", 20384 "monsoon", 20385 "monster", 20386 "month", 20387 "monument", 20388 "mood", 20389 "moody", 20390 "moon", 20391 "moonlight", 20392 "moonscape", 20393 "moonshine", 20394 "moose", 20395 "mop", 20396 "morale", 20397 "morbid", 20398 "morbidity", 20399 "morning", 20400 "moron", 20401 "morphology", 20402 "morsel", 20403 "mortal", 20404 "mortality", 20405 "mortgage", 20406 "mortise", 20407 "mosque", 20408 "mosquito", 20409 "most", 20410 "motel", 20411 "moth", 20412 "mother", 20413 "mother-in-law", 20414 "motion", 20415 "motivation", 20416 "motive", 20417 "motor", 20418 "motorboat", 20419 "motorcar", 20420 "motorcycle", 20421 "mound", 20422 "mountain", 20423 "mouse", 20424 "mouser", 20425 "mousse", 20426 "moustache", 20427 "mouth", 20428 "mouton", 20429 "movement", 20430 "mover", 20431 "movie", 20432 "mower", 20433 "mozzarella", 20434 "mud", 20435 "muffin", 20436 "mug", 20437 "mukluk", 20438 "mule", 20439 "multimedia", 20440 "murder", 20441 "muscat", 20442 "muscatel", 20443 "muscle", 20444 "musculature", 20445 "museum", 20446 "mushroom", 20447 "music", 20448 "music-box", 20449 "music-making", 20450 "musician", 20451 "muskrat", 20452 "mussel", 20453 "mustache", 20454 "mustard", 20455 "mutation", 20456 "mutt", 20457 "mutton", 20458 "mycoplasma", 20459 "mystery", 20460 "myth", 20461 "mythology", 20462 "nail", 20463 "name", 20464 "naming", 20465 "nanoparticle", 20466 "napkin", 20467 "narrative", 20468 "nasal", 20469 "nation", 20470 "nationality", 20471 "native", 20472 "naturalisation", 20473 "nature", 20474 "navigation", 20475 "necessity", 20476 "neck", 20477 "necklace", 20478 "necktie", 20479 "nectar", 20480 "nectarine", 20481 "need", 20482 "needle", 20483 "neglect", 20484 "negligee", 20485 "negotiation", 20486 "neighbor", 20487 "neighborhood", 20488 "neighbour", 20489 "neighbourhood", 20490 "neologism", 20491 "neon", 20492 "neonate", 20493 "nephew", 20494 "nerve", 20495 "nest", 20496 "nestling", 20497 "nestmate", 20498 "net", 20499 "netball", 20500 "netbook", 20501 "netsuke", 20502 "network", 20503 "networking", 20504 "neurobiologist", 20505 "neuron", 20506 "neuropathologist", 20507 "neuropsychiatry", 20508 "news", 20509 "newsletter", 20510 "newspaper", 20511 "newsprint", 20512 "newsstand", 20513 "nexus", 20514 "nibble", 20515 "nicety", 20516 "niche", 20517 "nick", 20518 "nickel", 20519 "nickname", 20520 "niece", 20521 "night", 20522 "nightclub", 20523 "nightgown", 20524 "nightingale", 20525 "nightlife", 20526 "nightlight", 20527 "nightmare", 20528 "ninja", 20529 "nit", 20530 "nitrogen", 20531 "nobody", 20532 "nod", 20533 "node", 20534 "noir", 20535 "noise", 20536 "nonbeliever", 20537 "nonconformist", 20538 "nondisclosure", 20539 "nonsense", 20540 "noodle", 20541 "noodles", 20542 "noon", 20543 "norm", 20544 "normal", 20545 "normalisation", 20546 "normalization", 20547 "north", 20548 "nose", 20549 "notation", 20550 "note", 20551 "notebook", 20552 "notepad", 20553 "nothing", 20554 "notice", 20555 "notion", 20556 "notoriety", 20557 "nougat", 20558 "noun", 20559 "nourishment", 20560 "novel", 20561 "nucleotidase", 20562 "nucleotide", 20563 "nudge", 20564 "nuke", 20565 "number", 20566 "numeracy", 20567 "numeric", 20568 "numismatist", 20569 "nun", 20570 "nurse", 20571 "nursery", 20572 "nursing", 20573 "nurture", 20574 "nut", 20575 "nutmeg", 20576 "nutrient", 20577 "nutrition", 20578 "nylon", 20579 "nymph", 20580 "oak", 20581 "oar", 20582 "oasis", 20583 "oat", 20584 "oatmeal", 20585 "oats", 20586 "obedience", 20587 "obesity", 20588 "obi", 20589 "object", 20590 "objection", 20591 "objective", 20592 "obligation", 20593 "oboe", 20594 "observation", 20595 "observatory", 20596 "obsession", 20597 "obsidian", 20598 "obstacle", 20599 "occasion", 20600 "occupation", 20601 "occurrence", 20602 "ocean", 20603 "ocelot", 20604 "octagon", 20605 "octave", 20606 "octavo", 20607 "octet", 20608 "octopus", 20609 "odometer", 20610 "odyssey", 20611 "oeuvre", 20612 "off-ramp", 20613 "offence", 20614 "offense", 20615 "offer", 20616 "offering", 20617 "office", 20618 "officer", 20619 "official", 20620 "offset", 20621 "oil", 20622 "okra", 20623 "oldie", 20624 "oleo", 20625 "olive", 20626 "omega", 20627 "omelet", 20628 "omission", 20629 "omnivore", 20630 "oncology", 20631 "onion", 20632 "online", 20633 "onset", 20634 "opening", 20635 "opera", 20636 "operating", 20637 "operation", 20638 "operator", 20639 "ophthalmologist", 20640 "opinion", 20641 "opium", 20642 "opossum", 20643 "opponent", 20644 "opportunist", 20645 "opportunity", 20646 "opposite", 20647 "opposition", 20648 "optimal", 20649 "optimisation", 20650 "optimist", 20651 "optimization", 20652 "option", 20653 "orange", 20654 "orangutan", 20655 "orator", 20656 "orchard", 20657 "orchestra", 20658 "orchid", 20659 "order", 20660 "ordinary", 20661 "ordination", 20662 "ore", 20663 "oregano", 20664 "organ", 20665 "organisation", 20666 "organising", 20667 "organization", 20668 "organizing", 20669 "orient", 20670 "orientation", 20671 "origin", 20672 "original", 20673 "originality", 20674 "ornament", 20675 "osmosis", 20676 "osprey", 20677 "ostrich", 20678 "other", 20679 "otter", 20680 "ottoman", 20681 "ounce", 20682 "outback", 20683 "outcome", 20684 "outfielder", 20685 "outfit", 20686 "outhouse", 20687 "outlaw", 20688 "outlay", 20689 "outlet", 20690 "outline", 20691 "outlook", 20692 "output", 20693 "outrage", 20694 "outrigger", 20695 "outrun", 20696 "outset", 20697 "outside", 20698 "oval", 20699 "ovary", 20700 "oven", 20701 "overcharge", 20702 "overclocking", 20703 "overcoat", 20704 "overexertion", 20705 "overflight", 20706 "overhead", 20707 "overheard", 20708 "overload", 20709 "overnighter", 20710 "overshoot", 20711 "oversight", 20712 "overview", 20713 "overweight", 20714 "owl", 20715 "owner", 20716 "ownership", 20717 "ox", 20718 "oxford", 20719 "oxygen", 20720 "oyster", 20721 "ozone", 20722 "pace", 20723 "pacemaker", 20724 "pack", 20725 "package", 20726 "packaging", 20727 "packet", 20728 "pad", 20729 "paddle", 20730 "paddock", 20731 "pagan", 20732 "page", 20733 "pagoda", 20734 "pail", 20735 "pain", 20736 "paint", 20737 "painter", 20738 "painting", 20739 "paintwork", 20740 "pair", 20741 "pajamas", 20742 "palace", 20743 "palate", 20744 "palm", 20745 "pamphlet", 20746 "pan", 20747 "pancake", 20748 "pancreas", 20749 "panda", 20750 "panel", 20751 "panic", 20752 "pannier", 20753 "panpipe", 20754 "pansy", 20755 "panther", 20756 "panties", 20757 "pantologist", 20758 "pantology", 20759 "pantry", 20760 "pants", 20761 "pantsuit", 20762 "panty", 20763 "pantyhose", 20764 "papa", 20765 "papaya", 20766 "paper", 20767 "paperback", 20768 "paperwork", 20769 "parable", 20770 "parachute", 20771 "parade", 20772 "paradise", 20773 "paragraph", 20774 "parallelogram", 20775 "paramecium", 20776 "paramedic", 20777 "parameter", 20778 "paranoia", 20779 "parcel", 20780 "parchment", 20781 "pard", 20782 "pardon", 20783 "parent", 20784 "parenthesis", 20785 "parenting", 20786 "park", 20787 "parka", 20788 "parking", 20789 "parliament", 20790 "parole", 20791 "parrot", 20792 "parser", 20793 "parsley", 20794 "parsnip", 20795 "part", 20796 "participant", 20797 "participation", 20798 "particle", 20799 "particular", 20800 "partner", 20801 "partnership", 20802 "partridge", 20803 "party", 20804 "pass", 20805 "passage", 20806 "passbook", 20807 "passenger", 20808 "passing", 20809 "passion", 20810 "passive", 20811 "passport", 20812 "password", 20813 "past", 20814 "pasta", 20815 "paste", 20816 "pastor", 20817 "pastoralist", 20818 "pastry", 20819 "pasture", 20820 "pat", 20821 "patch", 20822 "pate", 20823 "patent", 20824 "patentee", 20825 "path", 20826 "pathogenesis", 20827 "pathology", 20828 "pathway", 20829 "patience", 20830 "patient", 20831 "patina", 20832 "patio", 20833 "patriarch", 20834 "patrimony", 20835 "patriot", 20836 "patrol", 20837 "patroller", 20838 "patrolling", 20839 "patron", 20840 "pattern", 20841 "patty", 20842 "pattypan", 20843 "pause", 20844 "pavement", 20845 "pavilion", 20846 "paw", 20847 "pawnshop", 20848 "pay", 20849 "payee", 20850 "payment", 20851 "payoff", 20852 "pea", 20853 "peace", 20854 "peach", 20855 "peacoat", 20856 "peacock", 20857 "peak", 20858 "peanut", 20859 "pear", 20860 "pearl", 20861 "peasant", 20862 "pecan", 20863 "pecker", 20864 "pedal", 20865 "peek", 20866 "peen", 20867 "peer", 20868 "peer-to-peer", 20869 "pegboard", 20870 "pelican", 20871 "pelt", 20872 "pen", 20873 "penalty", 20874 "pence", 20875 "pencil", 20876 "pendant", 20877 "pendulum", 20878 "penguin", 20879 "penicillin", 20880 "peninsula", 20881 "penis", 20882 "pennant", 20883 "penny", 20884 "pension", 20885 "pentagon", 20886 "peony", 20887 "people", 20888 "pepper", 20889 "pepperoni", 20890 "percent", 20891 "percentage", 20892 "perception", 20893 "perch", 20894 "perennial", 20895 "perfection", 20896 "performance", 20897 "perfume", 20898 "period", 20899 "periodical", 20900 "peripheral", 20901 "permafrost", 20902 "permission", 20903 "permit", 20904 "perp", 20905 "perpendicular", 20906 "persimmon", 20907 "person", 20908 "personal", 20909 "personality", 20910 "personnel", 20911 "perspective", 20912 "pest", 20913 "pet", 20914 "petal", 20915 "petition", 20916 "petitioner", 20917 "petticoat", 20918 "pew", 20919 "pharmacist", 20920 "pharmacopoeia", 20921 "phase", 20922 "pheasant", 20923 "phenomenon", 20924 "phenotype", 20925 "pheromone", 20926 "philanthropy", 20927 "philosopher", 20928 "philosophy", 20929 "phone", 20930 "phosphate", 20931 "photo", 20932 "photodiode", 20933 "photograph", 20934 "photographer", 20935 "photography", 20936 "photoreceptor", 20937 "phrase", 20938 "phrasing", 20939 "physical", 20940 "physics", 20941 "physiology", 20942 "pianist", 20943 "piano", 20944 "piccolo", 20945 "pick", 20946 "pickax", 20947 "pickaxe", 20948 "picket", 20949 "pickle", 20950 "pickup", 20951 "picnic", 20952 "picture", 20953 "picturesque", 20954 "pie", 20955 "piece", 20956 "pier", 20957 "piety", 20958 "pig", 20959 "pigeon", 20960 "piglet", 20961 "pigpen", 20962 "pigsty", 20963 "pike", 20964 "pilaf", 20965 "pile", 20966 "pilgrim", 20967 "pilgrimage", 20968 "pill", 20969 "pillar", 20970 "pillbox", 20971 "pillow", 20972 "pilot", 20973 "pimp", 20974 "pimple", 20975 "pin", 20976 "pinafore", 20977 "pince-nez", 20978 "pine", 20979 "pineapple", 20980 "pinecone", 20981 "ping", 20982 "pink", 20983 "pinkie", 20984 "pinot", 20985 "pinstripe", 20986 "pint", 20987 "pinto", 20988 "pinworm", 20989 "pioneer", 20990 "pipe", 20991 "pipeline", 20992 "piracy", 20993 "pirate", 20994 "piss", 20995 "pistol", 20996 "pit", 20997 "pita", 20998 "pitch", 20999 "pitcher", 21000 "pitching", 21001 "pith", 21002 "pizza", 21003 "place", 21004 "placebo", 21005 "placement", 21006 "placode", 21007 "plagiarism", 21008 "plain", 21009 "plaintiff", 21010 "plan", 21011 "plane", 21012 "planet", 21013 "planning", 21014 "plant", 21015 "plantation", 21016 "planter", 21017 "planula", 21018 "plaster", 21019 "plasterboard", 21020 "plastic", 21021 "plate", 21022 "platelet", 21023 "platform", 21024 "platinum", 21025 "platter", 21026 "platypus", 21027 "play", 21028 "player", 21029 "playground", 21030 "playroom", 21031 "playwright", 21032 "plea", 21033 "pleasure", 21034 "pleat", 21035 "pledge", 21036 "plenty", 21037 "plier", 21038 "pliers", 21039 "plight", 21040 "plot", 21041 "plough", 21042 "plover", 21043 "plow", 21044 "plowman", 21045 "plug", 21046 "plugin", 21047 "plum", 21048 "plumber", 21049 "plume", 21050 "plunger", 21051 "plywood", 21052 "pneumonia", 21053 "pocket", 21054 "pocket-watch", 21055 "pocketbook", 21056 "pod", 21057 "podcast", 21058 "poem", 21059 "poet", 21060 "poetry", 21061 "poignance", 21062 "point", 21063 "poison", 21064 "poisoning", 21065 "poker", 21066 "polarisation", 21067 "polarization", 21068 "pole", 21069 "polenta", 21070 "police", 21071 "policeman", 21072 "policy", 21073 "polish", 21074 "politician", 21075 "politics", 21076 "poll", 21077 "polliwog", 21078 "pollutant", 21079 "pollution", 21080 "polo", 21081 "polyester", 21082 "polyp", 21083 "pomegranate", 21084 "pomelo", 21085 "pompom", 21086 "poncho", 21087 "pond", 21088 "pony", 21089 "pool", 21090 "poor", 21091 "pop", 21092 "popcorn", 21093 "poppy", 21094 "popsicle", 21095 "popularity", 21096 "population", 21097 "populist", 21098 "porcelain", 21099 "porch", 21100 "porcupine", 21101 "pork", 21102 "porpoise", 21103 "port", 21104 "porter", 21105 "portfolio", 21106 "porthole", 21107 "portion", 21108 "portrait", 21109 "position", 21110 "possession", 21111 "possibility", 21112 "possible", 21113 "post", 21114 "postage", 21115 "postbox", 21116 "poster", 21117 "posterior", 21118 "postfix", 21119 "pot", 21120 "potato", 21121 "potential", 21122 "pottery", 21123 "potty", 21124 "pouch", 21125 "poultry", 21126 "pound", 21127 "pounding", 21128 "poverty", 21129 "powder", 21130 "power", 21131 "practice", 21132 "practitioner", 21133 "prairie", 21134 "praise", 21135 "pray", 21136 "prayer", 21137 "precedence", 21138 "precedent", 21139 "precipitation", 21140 "precision", 21141 "predecessor", 21142 "preface", 21143 "preference", 21144 "prefix", 21145 "pregnancy", 21146 "prejudice", 21147 "prelude", 21148 "premeditation", 21149 "premier", 21150 "premise", 21151 "premium", 21152 "preoccupation", 21153 "preparation", 21154 "prescription", 21155 "presence", 21156 "present", 21157 "presentation", 21158 "preservation", 21159 "preserves", 21160 "presidency", 21161 "president", 21162 "press", 21163 "pressroom", 21164 "pressure", 21165 "pressurisation", 21166 "pressurization", 21167 "prestige", 21168 "presume", 21169 "pretzel", 21170 "prevalence", 21171 "prevention", 21172 "prey", 21173 "price", 21174 "pricing", 21175 "pride", 21176 "priest", 21177 "priesthood", 21178 "primary", 21179 "primate", 21180 "prince", 21181 "princess", 21182 "principal", 21183 "principle", 21184 "print", 21185 "printer", 21186 "printing", 21187 "prior", 21188 "priority", 21189 "prison", 21190 "prisoner", 21191 "privacy", 21192 "private", 21193 "privilege", 21194 "prize", 21195 "prizefight", 21196 "probability", 21197 "probation", 21198 "probe", 21199 "problem", 21200 "procedure", 21201 "proceedings", 21202 "process", 21203 "processing", 21204 "processor", 21205 "proctor", 21206 "procurement", 21207 "produce", 21208 "producer", 21209 "product", 21210 "production", 21211 "productivity", 21212 "profession", 21213 "professional", 21214 "professor", 21215 "profile", 21216 "profit", 21217 "progenitor", 21218 "program", 21219 "programme", 21220 "programming", 21221 "progress", 21222 "progression", 21223 "prohibition", 21224 "project", 21225 "proliferation", 21226 "promenade", 21227 "promise", 21228 "promotion", 21229 "prompt", 21230 "pronoun", 21231 "pronunciation", 21232 "proof", 21233 "proof-reader", 21234 "propaganda", 21235 "propane", 21236 "property", 21237 "prophet", 21238 "proponent", 21239 "proportion", 21240 "proposal", 21241 "proposition", 21242 "proprietor", 21243 "prose", 21244 "prosecution", 21245 "prosecutor", 21246 "prospect", 21247 "prosperity", 21248 "prostacyclin", 21249 "prostanoid", 21250 "prostrate", 21251 "protection", 21252 "protein", 21253 "protest", 21254 "protocol", 21255 "providence", 21256 "provider", 21257 "province", 21258 "provision", 21259 "prow", 21260 "proximal", 21261 "proximity", 21262 "prune", 21263 "pruner", 21264 "pseudocode", 21265 "pseudoscience", 21266 "psychiatrist", 21267 "psychoanalyst", 21268 "psychologist", 21269 "psychology", 21270 "ptarmigan", 21271 "pub", 21272 "public", 21273 "publication", 21274 "publicity", 21275 "publisher", 21276 "publishing", 21277 "pudding", 21278 "puddle", 21279 "puffin", 21280 "pug", 21281 "puggle", 21282 "pulley", 21283 "pulse", 21284 "puma", 21285 "pump", 21286 "pumpernickel", 21287 "pumpkin", 21288 "pumpkinseed", 21289 "pun", 21290 "punch", 21291 "punctuation", 21292 "punishment", 21293 "pup", 21294 "pupa", 21295 "pupil", 21296 "puppet", 21297 "puppy", 21298 "purchase", 21299 "puritan", 21300 "purity", 21301 "purple", 21302 "purpose", 21303 "purr", 21304 "purse", 21305 "pursuit", 21306 "push", 21307 "pusher", 21308 "put", 21309 "puzzle", 21310 "pyramid", 21311 "pyridine", 21312 "quadrant", 21313 "quail", 21314 "qualification", 21315 "quality", 21316 "quantity", 21317 "quart", 21318 "quarter", 21319 "quartet", 21320 "quartz", 21321 "queen", 21322 "query", 21323 "quest", 21324 "question", 21325 "questioner", 21326 "questionnaire", 21327 "quiche", 21328 "quicksand", 21329 "quiet", 21330 "quill", 21331 "quilt", 21332 "quince", 21333 "quinoa", 21334 "quit", 21335 "quiver", 21336 "quota", 21337 "quotation", 21338 "quote", 21339 "rabbi", 21340 "rabbit", 21341 "raccoon", 21342 "race", 21343 "racer", 21344 "racing", 21345 "racism", 21346 "racist", 21347 "rack", 21348 "radar", 21349 "radiator", 21350 "radio", 21351 "radiosonde", 21352 "radish", 21353 "raffle", 21354 "raft", 21355 "rag", 21356 "rage", 21357 "raid", 21358 "rail", 21359 "railing", 21360 "railroad", 21361 "railway", 21362 "raiment", 21363 "rain", 21364 "rainbow", 21365 "raincoat", 21366 "rainmaker", 21367 "rainstorm", 21368 "rainy", 21369 "raise", 21370 "raisin", 21371 "rake", 21372 "rally", 21373 "ram", 21374 "rambler", 21375 "ramen", 21376 "ramie", 21377 "ranch", 21378 "rancher", 21379 "randomisation", 21380 "randomization", 21381 "range", 21382 "ranger", 21383 "rank", 21384 "rap", 21385 "rape", 21386 "raspberry", 21387 "rat", 21388 "rate", 21389 "ratepayer", 21390 "rating", 21391 "ratio", 21392 "rationale", 21393 "rations", 21394 "raven", 21395 "ravioli", 21396 "rawhide", 21397 "ray", 21398 "rayon", 21399 "razor", 21400 "reach", 21401 "reactant", 21402 "reaction", 21403 "read", 21404 "reader", 21405 "readiness", 21406 "reading", 21407 "real", 21408 "reality", 21409 "realization", 21410 "realm", 21411 "reamer", 21412 "rear", 21413 "reason", 21414 "reasoning", 21415 "rebel", 21416 "rebellion", 21417 "reboot", 21418 "recall", 21419 "recapitulation", 21420 "receipt", 21421 "receiver", 21422 "reception", 21423 "receptor", 21424 "recess", 21425 "recession", 21426 "recipe", 21427 "recipient", 21428 "reciprocity", 21429 "reclamation", 21430 "recliner", 21431 "recognition", 21432 "recollection", 21433 "recommendation", 21434 "reconsideration", 21435 "record", 21436 "recorder", 21437 "recording", 21438 "recovery", 21439 "recreation", 21440 "recruit", 21441 "rectangle", 21442 "red", 21443 "redesign", 21444 "redhead", 21445 "redirect", 21446 "rediscovery", 21447 "reduction", 21448 "reef", 21449 "refectory", 21450 "reference", 21451 "referendum", 21452 "reflection", 21453 "reform", 21454 "refreshments", 21455 "refrigerator", 21456 "refuge", 21457 "refund", 21458 "refusal", 21459 "refuse", 21460 "regard", 21461 "regime", 21462 "region", 21463 "regionalism", 21464 "register", 21465 "registration", 21466 "registry", 21467 "regret", 21468 "regulation", 21469 "regulator", 21470 "rehospitalisation", 21471 "rehospitalization", 21472 "reindeer", 21473 "reinscription", 21474 "reject", 21475 "relation", 21476 "relationship", 21477 "relative", 21478 "relaxation", 21479 "relay", 21480 "release", 21481 "reliability", 21482 "relief", 21483 "religion", 21484 "relish", 21485 "reluctance", 21486 "remains", 21487 "remark", 21488 "reminder", 21489 "remnant", 21490 "remote", 21491 "removal", 21492 "renaissance", 21493 "rent", 21494 "reorganisation", 21495 "reorganization", 21496 "repair", 21497 "reparation", 21498 "repayment", 21499 "repeat", 21500 "replacement", 21501 "replica", 21502 "replication", 21503 "reply", 21504 "report", 21505 "reporter", 21506 "reporting", 21507 "repository", 21508 "representation", 21509 "representative", 21510 "reprocessing", 21511 "republic", 21512 "republican", 21513 "reputation", 21514 "request", 21515 "requirement", 21516 "resale", 21517 "rescue", 21518 "research", 21519 "researcher", 21520 "resemblance", 21521 "reservation", 21522 "reserve", 21523 "reservoir", 21524 "reset", 21525 "residence", 21526 "resident", 21527 "residue", 21528 "resist", 21529 "resistance", 21530 "resolution", 21531 "resolve", 21532 "resort", 21533 "resource", 21534 "respect", 21535 "respite", 21536 "response", 21537 "responsibility", 21538 "rest", 21539 "restaurant", 21540 "restoration", 21541 "restriction", 21542 "restroom", 21543 "restructuring", 21544 "result", 21545 "resume", 21546 "retailer", 21547 "retention", 21548 "rethinking", 21549 "retina", 21550 "retirement", 21551 "retouching", 21552 "retreat", 21553 "retrospect", 21554 "retrospective", 21555 "retrospectivity", 21556 "return", 21557 "reunion", 21558 "revascularisation", 21559 "revascularization", 21560 "reveal", 21561 "revelation", 21562 "revenant", 21563 "revenge", 21564 "revenue", 21565 "reversal", 21566 "reverse", 21567 "review", 21568 "revitalisation", 21569 "revitalization", 21570 "revival", 21571 "revolution", 21572 "revolver", 21573 "reward", 21574 "rhetoric", 21575 "rheumatism", 21576 "rhinoceros", 21577 "rhubarb", 21578 "rhyme", 21579 "rhythm", 21580 "rib", 21581 "ribbon", 21582 "rice", 21583 "riddle", 21584 "ride", 21585 "rider", 21586 "ridge", 21587 "riding", 21588 "rifle", 21589 "right", 21590 "rim", 21591 "ring", 21592 "ringworm", 21593 "riot", 21594 "rip", 21595 "ripple", 21596 "rise", 21597 "riser", 21598 "risk", 21599 "rite", 21600 "ritual", 21601 "river", 21602 "riverbed", 21603 "rivulet", 21604 "road", 21605 "roadway", 21606 "roar", 21607 "roast", 21608 "robe", 21609 "robin", 21610 "robot", 21611 "robotics", 21612 "rock", 21613 "rocker", 21614 "rocket", 21615 "rocket-ship", 21616 "rod", 21617 "role", 21618 "roll", 21619 "roller", 21620 "romaine", 21621 "romance", 21622 "roof", 21623 "room", 21624 "roommate", 21625 "rooster", 21626 "root", 21627 "rope", 21628 "rose", 21629 "rosemary", 21630 "roster", 21631 "rostrum", 21632 "rotation", 21633 "round", 21634 "roundabout", 21635 "route", 21636 "router", 21637 "routine", 21638 "row", 21639 "rowboat", 21640 "rowing", 21641 "rubber", 21642 "rubbish", 21643 "rubric", 21644 "ruby", 21645 "ruckus", 21646 "rudiment", 21647 "ruffle", 21648 "rug", 21649 "rugby", 21650 "ruin", 21651 "rule", 21652 "ruler", 21653 "ruling", 21654 "rum", 21655 "rumor", 21656 "run", 21657 "runaway", 21658 "runner", 21659 "running", 21660 "runway", 21661 "rush", 21662 "rust", 21663 "rutabaga", 21664 "rye", 21665 "sabre", 21666 "sac", 21667 "sack", 21668 "saddle", 21669 "sadness", 21670 "safari", 21671 "safe", 21672 "safeguard", 21673 "safety", 21674 "saffron", 21675 "sage", 21676 "sail", 21677 "sailboat", 21678 "sailing", 21679 "sailor", 21680 "saint", 21681 "sake", 21682 "salad", 21683 "salami", 21684 "salary", 21685 "sale", 21686 "salesman", 21687 "salmon", 21688 "salon", 21689 "saloon", 21690 "salsa", 21691 "salt", 21692 "salute", 21693 "samovar", 21694 "sampan", 21695 "sample", 21696 "samurai", 21697 "sanction", 21698 "sanctity", 21699 "sanctuary", 21700 "sand", 21701 "sandal", 21702 "sandbar", 21703 "sandpaper", 21704 "sandwich", 21705 "sanity", 21706 "sardine", 21707 "sari", 21708 "sarong", 21709 "sash", 21710 "satellite", 21711 "satin", 21712 "satire", 21713 "satisfaction", 21714 "sauce", 21715 "saucer", 21716 "sauerkraut", 21717 "sausage", 21718 "savage", 21719 "savannah", 21720 "saving", 21721 "savings", 21722 "savior", 21723 "saviour", 21724 "savory", 21725 "saw", 21726 "saxophone", 21727 "scaffold", 21728 "scale", 21729 "scallion", 21730 "scallops", 21731 "scalp", 21732 "scam", 21733 "scanner", 21734 "scarecrow", 21735 "scarf", 21736 "scarification", 21737 "scenario", 21738 "scene", 21739 "scenery", 21740 "scent", 21741 "schedule", 21742 "scheduling", 21743 "schema", 21744 "scheme", 21745 "schizophrenic", 21746 "schnitzel", 21747 "scholar", 21748 "scholarship", 21749 "school", 21750 "schoolhouse", 21751 "schooner", 21752 "science", 21753 "scientist", 21754 "scimitar", 21755 "scissors", 21756 "scooter", 21757 "scope", 21758 "score", 21759 "scorn", 21760 "scorpion", 21761 "scotch", 21762 "scout", 21763 "scow", 21764 "scrambled", 21765 "scrap", 21766 "scraper", 21767 "scratch", 21768 "screamer", 21769 "screen", 21770 "screening", 21771 "screenwriting", 21772 "screw", 21773 "screw-up", 21774 "screwdriver", 21775 "scrim", 21776 "scrip", 21777 "script", 21778 "scripture", 21779 "scrutiny", 21780 "sculpting", 21781 "sculptural", 21782 "sculpture", 21783 "sea", 21784 "seabass", 21785 "seafood", 21786 "seagull", 21787 "seal", 21788 "seaplane", 21789 "search", 21790 "seashore", 21791 "seaside", 21792 "season", 21793 "seat", 21794 "seaweed", 21795 "second", 21796 "secrecy", 21797 "secret", 21798 "secretariat", 21799 "secretary", 21800 "secretion", 21801 "section", 21802 "sectional", 21803 "sector", 21804 "security", 21805 "sediment", 21806 "seed", 21807 "seeder", 21808 "seeker", 21809 "seep", 21810 "segment", 21811 "seizure", 21812 "selection", 21813 "self", 21814 "self-confidence", 21815 "self-control", 21816 "self-esteem", 21817 "seller", 21818 "selling", 21819 "semantics", 21820 "semester", 21821 "semicircle", 21822 "semicolon", 21823 "semiconductor", 21824 "seminar", 21825 "senate", 21826 "senator", 21827 "sender", 21828 "senior", 21829 "sense", 21830 "sensibility", 21831 "sensitive", 21832 "sensitivity", 21833 "sensor", 21834 "sentence", 21835 "sentencing", 21836 "sentiment", 21837 "sepal", 21838 "separation", 21839 "septicaemia", 21840 "sequel", 21841 "sequence", 21842 "serial", 21843 "series", 21844 "sermon", 21845 "serum", 21846 "serval", 21847 "servant", 21848 "server", 21849 "service", 21850 "servitude", 21851 "sesame", 21852 "session", 21853 "set", 21854 "setback", 21855 "setting", 21856 "settlement", 21857 "settler", 21858 "severity", 21859 "sewer", 21860 "sex", 21861 "sexuality", 21862 "shack", 21863 "shackle", 21864 "shade", 21865 "shadow", 21866 "shadowbox", 21867 "shakedown", 21868 "shaker", 21869 "shallot", 21870 "shallows", 21871 "shame", 21872 "shampoo", 21873 "shanty", 21874 "shape", 21875 "share", 21876 "shareholder", 21877 "shark", 21878 "shaw", 21879 "shawl", 21880 "shear", 21881 "shearling", 21882 "sheath", 21883 "shed", 21884 "sheep", 21885 "sheet", 21886 "shelf", 21887 "shell", 21888 "shelter", 21889 "sherbet", 21890 "sherry", 21891 "shield", 21892 "shift", 21893 "shin", 21894 "shine", 21895 "shingle", 21896 "ship", 21897 "shipper", 21898 "shipping", 21899 "shipyard", 21900 "shirt", 21901 "shirtdress", 21902 "shit", 21903 "shoat", 21904 "shock", 21905 "shoe", 21906 "shoe-horn", 21907 "shoehorn", 21908 "shoelace", 21909 "shoemaker", 21910 "shoes", 21911 "shoestring", 21912 "shofar", 21913 "shoot", 21914 "shootdown", 21915 "shop", 21916 "shopper", 21917 "shopping", 21918 "shore", 21919 "shoreline", 21920 "short", 21921 "shortage", 21922 "shorts", 21923 "shortwave", 21924 "shot", 21925 "shoulder", 21926 "shout", 21927 "shovel", 21928 "show", 21929 "show-stopper", 21930 "shower", 21931 "shred", 21932 "shrimp", 21933 "shrine", 21934 "shutdown", 21935 "sibling", 21936 "sick", 21937 "sickness", 21938 "side", 21939 "sideboard", 21940 "sideburns", 21941 "sidecar", 21942 "sidestream", 21943 "sidewalk", 21944 "siding", 21945 "siege", 21946 "sigh", 21947 "sight", 21948 "sightseeing", 21949 "sign", 21950 "signal", 21951 "signature", 21952 "signet", 21953 "significance", 21954 "signify", 21955 "signup", 21956 "silence", 21957 "silica", 21958 "silicon", 21959 "silk", 21960 "silkworm", 21961 "sill", 21962 "silly", 21963 "silo", 21964 "silver", 21965 "similarity", 21966 "simple", 21967 "simplicity", 21968 "simplification", 21969 "simvastatin", 21970 "sin", 21971 "singer", 21972 "singing", 21973 "singular", 21974 "sink", 21975 "sinuosity", 21976 "sip", 21977 "sir", 21978 "sister", 21979 "sister-in-law", 21980 "sitar", 21981 "site", 21982 "situation", 21983 "size", 21984 "skate", 21985 "skating", 21986 "skean", 21987 "skeleton", 21988 "ski", 21989 "skiing", 21990 "skill", 21991 "skin", 21992 "skirt", 21993 "skull", 21994 "skullcap", 21995 "skullduggery", 21996 "skunk", 21997 "sky", 21998 "skylight", 21999 "skyline", 22000 "skyscraper", 22001 "skywalk", 22002 "slang", 22003 "slapstick", 22004 "slash", 22005 "slate", 22006 "slave", 22007 "slavery", 22008 "slaw", 22009 "sled", 22010 "sledge", 22011 "sleep", 22012 "sleepiness", 22013 "sleeping", 22014 "sleet", 22015 "sleuth", 22016 "slice", 22017 "slide", 22018 "slider", 22019 "slime", 22020 "slip", 22021 "slipper", 22022 "slippers", 22023 "slope", 22024 "slot", 22025 "sloth", 22026 "slump", 22027 "smell", 22028 "smelting", 22029 "smile", 22030 "smith", 22031 "smock", 22032 "smog", 22033 "smoke", 22034 "smoking", 22035 "smolt", 22036 "smuggling", 22037 "snack", 22038 "snail", 22039 "snake", 22040 "snakebite", 22041 "snap", 22042 "snarl", 22043 "sneaker", 22044 "sneakers", 22045 "sneeze", 22046 "sniffle", 22047 "snob", 22048 "snorer", 22049 "snow", 22050 "snowboarding", 22051 "snowflake", 22052 "snowman", 22053 "snowmobiling", 22054 "snowplow", 22055 "snowstorm", 22056 "snowsuit", 22057 "snuck", 22058 "snug", 22059 "snuggle", 22060 "soap", 22061 "soccer", 22062 "socialism", 22063 "socialist", 22064 "society", 22065 "sociology", 22066 "sock", 22067 "socks", 22068 "soda", 22069 "sofa", 22070 "softball", 22071 "softdrink", 22072 "softening", 22073 "software", 22074 "soil", 22075 "soldier", 22076 "sole", 22077 "solicitation", 22078 "solicitor", 22079 "solidarity", 22080 "solidity", 22081 "soliloquy", 22082 "solitaire", 22083 "solution", 22084 "solvency", 22085 "sombrero", 22086 "somebody", 22087 "someone", 22088 "someplace", 22089 "somersault", 22090 "something", 22091 "somewhere", 22092 "son", 22093 "sonar", 22094 "sonata", 22095 "song", 22096 "songbird", 22097 "sonnet", 22098 "soot", 22099 "sophomore", 22100 "soprano", 22101 "sorbet", 22102 "sorghum", 22103 "sorrel", 22104 "sorrow", 22105 "sort", 22106 "soul", 22107 "soulmate", 22108 "sound", 22109 "soundness", 22110 "soup", 22111 "source", 22112 "sourwood", 22113 "sousaphone", 22114 "south", 22115 "southeast", 22116 "souvenir", 22117 "sovereignty", 22118 "sow", 22119 "soy", 22120 "soybean", 22121 "space", 22122 "spacing", 22123 "spade", 22124 "spaghetti", 22125 "span", 22126 "spandex", 22127 "spank", 22128 "sparerib", 22129 "spark", 22130 "sparrow", 22131 "spasm", 22132 "spat", 22133 "spatula", 22134 "spawn", 22135 "speaker", 22136 "speakerphone", 22137 "speaking", 22138 "spear", 22139 "spec", 22140 "special", 22141 "specialist", 22142 "specialty", 22143 "species", 22144 "specification", 22145 "spectacle", 22146 "spectacles", 22147 "spectrograph", 22148 "spectrum", 22149 "speculation", 22150 "speech", 22151 "speed", 22152 "speedboat", 22153 "spell", 22154 "spelling", 22155 "spelt", 22156 "spending", 22157 "sphere", 22158 "sphynx", 22159 "spice", 22160 "spider", 22161 "spiderling", 22162 "spike", 22163 "spill", 22164 "spinach", 22165 "spine", 22166 "spiral", 22167 "spirit", 22168 "spiritual", 22169 "spirituality", 22170 "spit", 22171 "spite", 22172 "spleen", 22173 "splendor", 22174 "split", 22175 "spokesman", 22176 "spokeswoman", 22177 "sponge", 22178 "sponsor", 22179 "sponsorship", 22180 "spool", 22181 "spoon", 22182 "spork", 22183 "sport", 22184 "sportsman", 22185 "spot", 22186 "spotlight", 22187 "spouse", 22188 "sprag", 22189 "sprat", 22190 "spray", 22191 "spread", 22192 "spreadsheet", 22193 "spree", 22194 "spring", 22195 "sprinkles", 22196 "sprinter", 22197 "sprout", 22198 "spruce", 22199 "spud", 22200 "spume", 22201 "spur", 22202 "spy", 22203 "spyglass", 22204 "square", 22205 "squash", 22206 "squatter", 22207 "squeegee", 22208 "squid", 22209 "squirrel", 22210 "stab", 22211 "stability", 22212 "stable", 22213 "stack", 22214 "stacking", 22215 "stadium", 22216 "staff", 22217 "stag", 22218 "stage", 22219 "stain", 22220 "stair", 22221 "staircase", 22222 "stake", 22223 "stalk", 22224 "stall", 22225 "stallion", 22226 "stamen", 22227 "stamina", 22228 "stamp", 22229 "stance", 22230 "stand", 22231 "standard", 22232 "standardisation", 22233 "standardization", 22234 "standing", 22235 "standoff", 22236 "standpoint", 22237 "star", 22238 "starboard", 22239 "start", 22240 "starter", 22241 "state", 22242 "statement", 22243 "statin", 22244 "station", 22245 "station-wagon", 22246 "statistic", 22247 "statistics", 22248 "statue", 22249 "status", 22250 "statute", 22251 "stay", 22252 "steak", 22253 "stealth", 22254 "steam", 22255 "steamroller", 22256 "steel", 22257 "steeple", 22258 "stem", 22259 "stench", 22260 "stencil", 22261 "step", 22262 "step-aunt", 22263 "step-brother", 22264 "step-daughter", 22265 "step-father", 22266 "step-grandfather", 22267 "step-grandmother", 22268 "step-mother", 22269 "step-sister", 22270 "step-son", 22271 "step-uncle", 22272 "stepdaughter", 22273 "stepmother", 22274 "stepping-stone", 22275 "stepson", 22276 "stereo", 22277 "stew", 22278 "steward", 22279 "stick", 22280 "sticker", 22281 "stiletto", 22282 "still", 22283 "stimulation", 22284 "stimulus", 22285 "sting", 22286 "stinger", 22287 "stir-fry", 22288 "stitch", 22289 "stitcher", 22290 "stock", 22291 "stock-in-trade", 22292 "stockings", 22293 "stole", 22294 "stomach", 22295 "stone", 22296 "stonework", 22297 "stool", 22298 "stop", 22299 "stopsign", 22300 "stopwatch", 22301 "storage", 22302 "store", 22303 "storey", 22304 "storm", 22305 "story", 22306 "story-telling", 22307 "storyboard", 22308 "stot", 22309 "stove", 22310 "strait", 22311 "strand", 22312 "stranger", 22313 "strap", 22314 "strategy", 22315 "straw", 22316 "strawberry", 22317 "strawman", 22318 "stream", 22319 "street", 22320 "streetcar", 22321 "strength", 22322 "stress", 22323 "stretch", 22324 "strife", 22325 "strike", 22326 "string", 22327 "strip", 22328 "stripe", 22329 "strobe", 22330 "stroke", 22331 "structure", 22332 "strudel", 22333 "struggle", 22334 "stucco", 22335 "stud", 22336 "student", 22337 "studio", 22338 "study", 22339 "stuff", 22340 "stumbling", 22341 "stump", 22342 "stupidity", 22343 "sturgeon", 22344 "sty", 22345 "style", 22346 "styling", 22347 "stylus", 22348 "sub", 22349 "subcomponent", 22350 "subconscious", 22351 "subcontractor", 22352 "subexpression", 22353 "subgroup", 22354 "subject", 22355 "submarine", 22356 "submitter", 22357 "subprime", 22358 "subroutine", 22359 "subscription", 22360 "subsection", 22361 "subset", 22362 "subsidence", 22363 "subsidiary", 22364 "subsidy", 22365 "substance", 22366 "substitution", 22367 "subtitle", 22368 "suburb", 22369 "subway", 22370 "success", 22371 "succotash", 22372 "suck", 22373 "sucker", 22374 "suede", 22375 "suet", 22376 "suffocation", 22377 "sugar", 22378 "suggestion", 22379 "suicide", 22380 "suit", 22381 "suitcase", 22382 "suite", 22383 "sulfur", 22384 "sultan", 22385 "sum", 22386 "summary", 22387 "summer", 22388 "summit", 22389 "sun", 22390 "sunbeam", 22391 "sunbonnet", 22392 "sundae", 22393 "sunday", 22394 "sundial", 22395 "sunflower", 22396 "sunglasses", 22397 "sunlamp", 22398 "sunlight", 22399 "sunrise", 22400 "sunroom", 22401 "sunset", 22402 "sunshine", 22403 "superiority", 22404 "supermarket", 22405 "supernatural", 22406 "supervision", 22407 "supervisor", 22408 "supper", 22409 "supplement", 22410 "supplier", 22411 "supply", 22412 "support", 22413 "supporter", 22414 "suppression", 22415 "supreme", 22416 "surface", 22417 "surfboard", 22418 "surge", 22419 "surgeon", 22420 "surgery", 22421 "surname", 22422 "surplus", 22423 "surprise", 22424 "surround", 22425 "surroundings", 22426 "surrounds", 22427 "survey", 22428 "survival", 22429 "survivor", 22430 "sushi", 22431 "suspect", 22432 "suspenders", 22433 "suspension", 22434 "sustainment", 22435 "sustenance", 22436 "swallow", 22437 "swamp", 22438 "swan", 22439 "swanling", 22440 "swath", 22441 "sweat", 22442 "sweater", 22443 "sweatshirt", 22444 "sweatshop", 22445 "sweatsuit", 22446 "sweets", 22447 "swell", 22448 "swim", 22449 "swimming", 22450 "swimsuit", 22451 "swine", 22452 "swing", 22453 "switch", 22454 "switchboard", 22455 "switching", 22456 "swivel", 22457 "sword", 22458 "swordfight", 22459 "swordfish", 22460 "sycamore", 22461 "symbol", 22462 "symmetry", 22463 "sympathy", 22464 "symptom", 22465 "syndicate", 22466 "syndrome", 22467 "synergy", 22468 "synod", 22469 "synonym", 22470 "synthesis", 22471 "syrup", 22472 "system", 22473 "t-shirt", 22474 "tab", 22475 "tabby", 22476 "tabernacle", 22477 "table", 22478 "tablecloth", 22479 "tablet", 22480 "tabletop", 22481 "tachometer", 22482 "tackle", 22483 "taco", 22484 "tactics", 22485 "tactile", 22486 "tadpole", 22487 "tag", 22488 "tail", 22489 "tailbud", 22490 "tailor", 22491 "tailspin", 22492 "take-out", 22493 "takeover", 22494 "tale", 22495 "talent", 22496 "talk", 22497 "talking", 22498 "tam-o'-shanter", 22499 "tamale", 22500 "tambour", 22501 "tambourine", 22502 "tan", 22503 "tandem", 22504 "tangerine", 22505 "tank", 22506 "tank-top", 22507 "tanker", 22508 "tankful", 22509 "tap", 22510 "tape", 22511 "tapioca", 22512 "target", 22513 "taro", 22514 "tarragon", 22515 "tart", 22516 "task", 22517 "tassel", 22518 "taste", 22519 "tatami", 22520 "tattler", 22521 "tattoo", 22522 "tavern", 22523 "tax", 22524 "taxi", 22525 "taxicab", 22526 "taxpayer", 22527 "tea", 22528 "teacher", 22529 "teaching", 22530 "team", 22531 "teammate", 22532 "teapot", 22533 "tear", 22534 "tech", 22535 "technician", 22536 "technique", 22537 "technologist", 22538 "technology", 22539 "tectonics", 22540 "teen", 22541 "teenager", 22542 "teepee", 22543 "telephone", 22544 "telescreen", 22545 "teletype", 22546 "television", 22547 "tell", 22548 "teller", 22549 "temp", 22550 "temper", 22551 "temperature", 22552 "temple", 22553 "tempo", 22554 "temporariness", 22555 "temporary", 22556 "temptation", 22557 "temptress", 22558 "tenant", 22559 "tendency", 22560 "tender", 22561 "tenement", 22562 "tenet", 22563 "tennis", 22564 "tenor", 22565 "tension", 22566 "tensor", 22567 "tent", 22568 "tentacle", 22569 "tenth", 22570 "tepee", 22571 "teriyaki", 22572 "term", 22573 "terminal", 22574 "termination", 22575 "terminology", 22576 "termite", 22577 "terrace", 22578 "terracotta", 22579 "terrapin", 22580 "terrarium", 22581 "territory", 22582 "terror", 22583 "terrorism", 22584 "terrorist", 22585 "test", 22586 "testament", 22587 "testimonial", 22588 "testimony", 22589 "testing", 22590 "text", 22591 "textbook", 22592 "textual", 22593 "texture", 22594 "thanks", 22595 "thaw", 22596 "theater", 22597 "theft", 22598 "theism", 22599 "theme", 22600 "theology", 22601 "theory", 22602 "therapist", 22603 "therapy", 22604 "thermals", 22605 "thermometer", 22606 "thermostat", 22607 "thesis", 22608 "thickness", 22609 "thief", 22610 "thigh", 22611 "thing", 22612 "thinking", 22613 "thirst", 22614 "thistle", 22615 "thong", 22616 "thongs", 22617 "thorn", 22618 "thought", 22619 "thousand", 22620 "thread", 22621 "threat", 22622 "threshold", 22623 "thrift", 22624 "thrill", 22625 "throat", 22626 "throne", 22627 "thrush", 22628 "thrust", 22629 "thug", 22630 "thumb", 22631 "thump", 22632 "thunder", 22633 "thunderbolt", 22634 "thunderhead", 22635 "thunderstorm", 22636 "thyme", 22637 "tiara", 22638 "tic", 22639 "tick", 22640 "ticket", 22641 "tide", 22642 "tie", 22643 "tiger", 22644 "tights", 22645 "tile", 22646 "till", 22647 "tilt", 22648 "timbale", 22649 "timber", 22650 "time", 22651 "timeline", 22652 "timeout", 22653 "timer", 22654 "timetable", 22655 "timing", 22656 "timpani", 22657 "tin", 22658 "tinderbox", 22659 "tinkle", 22660 "tintype", 22661 "tip", 22662 "tire", 22663 "tissue", 22664 "titanium", 22665 "title", 22666 "toad", 22667 "toast", 22668 "toaster", 22669 "tobacco", 22670 "today", 22671 "toe", 22672 "toenail", 22673 "toffee", 22674 "tofu", 22675 "tog", 22676 "toga", 22677 "toilet", 22678 "tolerance", 22679 "tolerant", 22680 "toll", 22681 "tom-tom", 22682 "tomatillo", 22683 "tomato", 22684 "tomb", 22685 "tomography", 22686 "tomorrow", 22687 "ton", 22688 "tonality", 22689 "tone", 22690 "tongue", 22691 "tonic", 22692 "tonight", 22693 "tool", 22694 "toot", 22695 "tooth", 22696 "toothbrush", 22697 "toothpaste", 22698 "toothpick", 22699 "top", 22700 "top-hat", 22701 "topic", 22702 "topsail", 22703 "toque", 22704 "toreador", 22705 "tornado", 22706 "torso", 22707 "torte", 22708 "tortellini", 22709 "tortilla", 22710 "tortoise", 22711 "tosser", 22712 "total", 22713 "tote", 22714 "touch", 22715 "tough-guy", 22716 "tour", 22717 "tourism", 22718 "tourist", 22719 "tournament", 22720 "tow-truck", 22721 "towel", 22722 "tower", 22723 "town", 22724 "townhouse", 22725 "township", 22726 "toy", 22727 "trace", 22728 "trachoma", 22729 "track", 22730 "tracking", 22731 "tracksuit", 22732 "tract", 22733 "tractor", 22734 "trade", 22735 "trader", 22736 "trading", 22737 "tradition", 22738 "traditionalism", 22739 "traffic", 22740 "trafficker", 22741 "tragedy", 22742 "trail", 22743 "trailer", 22744 "trailpatrol", 22745 "train", 22746 "trainer", 22747 "training", 22748 "trait", 22749 "tram", 22750 "tramp", 22751 "trance", 22752 "transaction", 22753 "transcript", 22754 "transfer", 22755 "transformation", 22756 "transit", 22757 "transition", 22758 "translation", 22759 "transmission", 22760 "transom", 22761 "transparency", 22762 "transplantation", 22763 "transport", 22764 "transportation", 22765 "trap", 22766 "trapdoor", 22767 "trapezium", 22768 "trapezoid", 22769 "trash", 22770 "travel", 22771 "traveler", 22772 "tray", 22773 "treasure", 22774 "treasury", 22775 "treat", 22776 "treatment", 22777 "treaty", 22778 "tree", 22779 "trek", 22780 "trellis", 22781 "tremor", 22782 "trench", 22783 "trend", 22784 "triad", 22785 "trial", 22786 "triangle", 22787 "tribe", 22788 "tributary", 22789 "trick", 22790 "trigger", 22791 "trigonometry", 22792 "trillion", 22793 "trim", 22794 "trinket", 22795 "trip", 22796 "tripod", 22797 "tritone", 22798 "triumph", 22799 "trolley", 22800 "trombone", 22801 "troop", 22802 "trooper", 22803 "trophy", 22804 "trouble", 22805 "trousers", 22806 "trout", 22807 "trove", 22808 "trowel", 22809 "truck", 22810 "trumpet", 22811 "trunk", 22812 "trust", 22813 "trustee", 22814 "truth", 22815 "try", 22816 "tsunami", 22817 "tub", 22818 "tuba", 22819 "tube", 22820 "tuber", 22821 "tug", 22822 "tugboat", 22823 "tuition", 22824 "tulip", 22825 "tumbler", 22826 "tummy", 22827 "tuna", 22828 "tune", 22829 "tune-up", 22830 "tunic", 22831 "tunnel", 22832 "turban", 22833 "turf", 22834 "turkey", 22835 "turmeric", 22836 "turn", 22837 "turning", 22838 "turnip", 22839 "turnover", 22840 "turnstile", 22841 "turret", 22842 "turtle", 22843 "tusk", 22844 "tussle", 22845 "tutu", 22846 "tuxedo", 22847 "tweet", 22848 "tweezers", 22849 "twig", 22850 "twilight", 22851 "twine", 22852 "twins", 22853 "twist", 22854 "twister", 22855 "twitter", 22856 "type", 22857 "typeface", 22858 "typewriter", 22859 "typhoon", 22860 "ukulele", 22861 "ultimatum", 22862 "umbrella", 22863 "unblinking", 22864 "uncertainty", 22865 "uncle", 22866 "underclothes", 22867 "underestimate", 22868 "underground", 22869 "underneath", 22870 "underpants", 22871 "underpass", 22872 "undershirt", 22873 "understanding", 22874 "understatement", 22875 "undertaker", 22876 "underwear", 22877 "underweight", 22878 "underwire", 22879 "underwriting", 22880 "unemployment", 22881 "unibody", 22882 "uniform", 22883 "uniformity", 22884 "union", 22885 "unique", 22886 "unit", 22887 "unity", 22888 "universe", 22889 "university", 22890 "update", 22891 "upgrade", 22892 "uplift", 22893 "upper", 22894 "upstairs", 22895 "upward", 22896 "urge", 22897 "urgency", 22898 "urn", 22899 "usage", 22900 "use", 22901 "user", 22902 "usher", 22903 "usual", 22904 "utensil", 22905 "utilisation", 22906 "utility", 22907 "utilization", 22908 "vacation", 22909 "vaccine", 22910 "vacuum", 22911 "vagrant", 22912 "valance", 22913 "valentine", 22914 "validate", 22915 "validity", 22916 "valley", 22917 "valuable", 22918 "value", 22919 "vampire", 22920 "van", 22921 "vanadyl", 22922 "vane", 22923 "vanilla", 22924 "vanity", 22925 "variability", 22926 "variable", 22927 "variant", 22928 "variation", 22929 "variety", 22930 "vascular", 22931 "vase", 22932 "vault", 22933 "vaulting", 22934 "veal", 22935 "vector", 22936 "vegetable", 22937 "vegetarian", 22938 "vegetarianism", 22939 "vegetation", 22940 "vehicle", 22941 "veil", 22942 "vein", 22943 "veldt", 22944 "vellum", 22945 "velocity", 22946 "velodrome", 22947 "velvet", 22948 "vendor", 22949 "veneer", 22950 "vengeance", 22951 "venison", 22952 "venom", 22953 "venti", 22954 "venture", 22955 "venue", 22956 "veranda", 22957 "verb", 22958 "verdict", 22959 "verification", 22960 "vermicelli", 22961 "vernacular", 22962 "verse", 22963 "version", 22964 "vertigo", 22965 "verve", 22966 "vessel", 22967 "vest", 22968 "vestment", 22969 "vet", 22970 "veteran", 22971 "veterinarian", 22972 "veto", 22973 "viability", 22974 "vibe", 22975 "vibraphone", 22976 "vibration", 22977 "vibrissae", 22978 "vice", 22979 "vicinity", 22980 "victim", 22981 "victory", 22982 "video", 22983 "view", 22984 "viewer", 22985 "vignette", 22986 "villa", 22987 "village", 22988 "vine", 22989 "vinegar", 22990 "vineyard", 22991 "vintage", 22992 "vintner", 22993 "vinyl", 22994 "viola", 22995 "violation", 22996 "violence", 22997 "violet", 22998 "violin", 22999 "virginal", 23000 "virtue", 23001 "virus", 23002 "visa", 23003 "viscose", 23004 "vise", 23005 "vision", 23006 "visit", 23007 "visitor", 23008 "visor", 23009 "vista", 23010 "visual", 23011 "vitality", 23012 "vitamin", 23013 "vitro", 23014 "vivo", 23015 "vixen", 23016 "vodka", 23017 "vogue", 23018 "voice", 23019 "void", 23020 "vol", 23021 "volatility", 23022 "volcano", 23023 "volleyball", 23024 "volume", 23025 "volunteer", 23026 "volunteering", 23027 "vomit", 23028 "vote", 23029 "voter", 23030 "voting", 23031 "voyage", 23032 "vulture", 23033 "wad", 23034 "wafer", 23035 "waffle", 23036 "wage", 23037 "wagon", 23038 "waist", 23039 "waistband", 23040 "wait", 23041 "waiter", 23042 "waiting", 23043 "waitress", 23044 "waiver", 23045 "wake", 23046 "walk", 23047 "walker", 23048 "walking", 23049 "walkway", 23050 "wall", 23051 "wallaby", 23052 "wallet", 23053 "walnut", 23054 "walrus", 23055 "wampum", 23056 "wannabe", 23057 "want", 23058 "war", 23059 "warden", 23060 "wardrobe", 23061 "warfare", 23062 "warlock", 23063 "warlord", 23064 "warm-up", 23065 "warming", 23066 "warmth", 23067 "warning", 23068 "warrant", 23069 "warren", 23070 "warrior", 23071 "wasabi", 23072 "wash", 23073 "washbasin", 23074 "washcloth", 23075 "washer", 23076 "washtub", 23077 "wasp", 23078 "waste", 23079 "wastebasket", 23080 "wasting", 23081 "watch", 23082 "watcher", 23083 "watchmaker", 23084 "water", 23085 "waterbed", 23086 "watercress", 23087 "waterfall", 23088 "waterfront", 23089 "watermelon", 23090 "waterskiing", 23091 "waterspout", 23092 "waterwheel", 23093 "wave", 23094 "waveform", 23095 "wax", 23096 "way", 23097 "weakness", 23098 "wealth", 23099 "weapon", 23100 "wear", 23101 "weasel", 23102 "weather", 23103 "web", 23104 "webinar", 23105 "webmail", 23106 "webpage", 23107 "website", 23108 "wedding", 23109 "wedge", 23110 "weed", 23111 "weeder", 23112 "weedkiller", 23113 "week", 23114 "weekend", 23115 "weekender", 23116 "weight", 23117 "weird", 23118 "welcome", 23119 "welfare", 23120 "well", 23121 "well-being", 23122 "west", 23123 "western", 23124 "wet-bar", 23125 "wetland", 23126 "wetsuit", 23127 "whack", 23128 "whale", 23129 "wharf", 23130 "wheat", 23131 "wheel", 23132 "whelp", 23133 "whey", 23134 "whip", 23135 "whirlpool", 23136 "whirlwind", 23137 "whisker", 23138 "whiskey", 23139 "whisper", 23140 "whistle", 23141 "white", 23142 "whole", 23143 "wholesale", 23144 "wholesaler", 23145 "whorl", 23146 "wick", 23147 "widget", 23148 "widow", 23149 "width", 23150 "wife", 23151 "wifi", 23152 "wild", 23153 "wildebeest", 23154 "wilderness", 23155 "wildlife", 23156 "will", 23157 "willingness", 23158 "willow", 23159 "win", 23160 "wind", 23161 "wind-chime", 23162 "windage", 23163 "window", 23164 "windscreen", 23165 "windshield", 23166 "wine", 23167 "winery", 23168 "wing", 23169 "wingman", 23170 "wingtip", 23171 "wink", 23172 "winner", 23173 "winter", 23174 "wire", 23175 "wiretap", 23176 "wiring", 23177 "wisdom", 23178 "wiseguy", 23179 "wish", 23180 "wisteria", 23181 "wit", 23182 "witch", 23183 "witch-hunt", 23184 "withdrawal", 23185 "witness", 23186 "wok", 23187 "wolf", 23188 "woman", 23189 "wombat", 23190 "wonder", 23191 "wont", 23192 "wood", 23193 "woodchuck", 23194 "woodland", 23195 "woodshed", 23196 "woodwind", 23197 "wool", 23198 "woolens", 23199 "word", 23200 "wording", 23201 "work", 23202 "workbench", 23203 "worker", 23204 "workforce", 23205 "workhorse", 23206 "working", 23207 "workout", 23208 "workplace", 23209 "workshop", 23210 "world", 23211 "worm", 23212 "worry", 23213 "worship", 23214 "worshiper", 23215 "worth", 23216 "wound", 23217 "wrap", 23218 "wraparound", 23219 "wrapper", 23220 "wrapping", 23221 "wreck", 23222 "wrecker", 23223 "wren", 23224 "wrench", 23225 "wrestler", 23226 "wriggler", 23227 "wrinkle", 23228 "wrist", 23229 "writer", 23230 "writing", 23231 "wrong", 23232 "xylophone", 23233 "yacht", 23234 "yahoo", 23235 "yak", 23236 "yam", 23237 "yang", 23238 "yard", 23239 "yarmulke", 23240 "yarn", 23241 "yawl", 23242 "year", 23243 "yeast", 23244 "yellow", 23245 "yellowjacket", 23246 "yesterday", 23247 "yew", 23248 "yin", 23249 "yoga", 23250 "yogurt", 23251 "yoke", 23252 "yolk", 23253 "young", 23254 "youngster", 23255 "yourself", 23256 "youth", 23257 "yoyo", 23258 "yurt", 23259 "zampone", 23260 "zebra", 23261 "zebrafish", 23262 "zen", 23263 "zephyr", 23264 "zero", 23265 "ziggurat", 23266 "zinc", 23267 "zipper", 23268 "zither", 23269 "zombie", 23270 "zone", 23271 "zoo", 23272 "zoologist", 23273 "zoology", 23274 "zoot-suit", 23275 "zucchini" 23276 ]; 23277 return choice(data, this.rnd); 23278 } 23279 23280 /// 23281 string wordAdjective() { 23282 auto data = [ 23283 "abandoned", 23284 "able", 23285 "absolute", 23286 "adorable", 23287 "adventurous", 23288 "academic", 23289 "acceptable", 23290 "acclaimed", 23291 "accomplished", 23292 "accurate", 23293 "aching", 23294 "acidic", 23295 "acrobatic", 23296 "active", 23297 "actual", 23298 "adept", 23299 "admirable", 23300 "admired", 23301 "adolescent", 23302 "adorable", 23303 "adored", 23304 "advanced", 23305 "afraid", 23306 "affectionate", 23307 "aged", 23308 "aggravating", 23309 "aggressive", 23310 "agile", 23311 "agitated", 23312 "agonizing", 23313 "agreeable", 23314 "ajar", 23315 "alarmed", 23316 "alarming", 23317 "alert", 23318 "alienated", 23319 "alive", 23320 "all", 23321 "altruistic", 23322 "amazing", 23323 "ambitious", 23324 "ample", 23325 "amused", 23326 "amusing", 23327 "anchored", 23328 "ancient", 23329 "angelic", 23330 "angry", 23331 "anguished", 23332 "animated", 23333 "annual", 23334 "another", 23335 "antique", 23336 "anxious", 23337 "any", 23338 "apprehensive", 23339 "appropriate", 23340 "apt", 23341 "arctic", 23342 "arid", 23343 "aromatic", 23344 "artistic", 23345 "ashamed", 23346 "assured", 23347 "astonishing", 23348 "athletic", 23349 "attached", 23350 "attentive", 23351 "attractive", 23352 "austere", 23353 "authentic", 23354 "authorized", 23355 "automatic", 23356 "avaricious", 23357 "average", 23358 "aware", 23359 "awesome", 23360 "awful", 23361 "awkward", 23362 "babyish", 23363 "bad", 23364 "back", 23365 "baggy", 23366 "bare", 23367 "barren", 23368 "basic", 23369 "beautiful", 23370 "belated", 23371 "beloved", 23372 "beneficial", 23373 "better", 23374 "best", 23375 "bewitched", 23376 "big", 23377 "big-hearted", 23378 "biodegradable", 23379 "bite-sized", 23380 "bitter", 23381 "black", 23382 "black-and-white", 23383 "bland", 23384 "blank", 23385 "blaring", 23386 "bleak", 23387 "blind", 23388 "blissful", 23389 "blond", 23390 "blue", 23391 "blushing", 23392 "bogus", 23393 "boiling", 23394 "bold", 23395 "bony", 23396 "boring", 23397 "bossy", 23398 "both", 23399 "bouncy", 23400 "bountiful", 23401 "bowed", 23402 "brave", 23403 "breakable", 23404 "brief", 23405 "bright", 23406 "brilliant", 23407 "brisk", 23408 "broken", 23409 "bronze", 23410 "brown", 23411 "bruised", 23412 "bubbly", 23413 "bulky", 23414 "bumpy", 23415 "buoyant", 23416 "burdensome", 23417 "burly", 23418 "bustling", 23419 "busy", 23420 "buttery", 23421 "buzzing", 23422 "calculating", 23423 "calm", 23424 "candid", 23425 "canine", 23426 "capital", 23427 "carefree", 23428 "careful", 23429 "careless", 23430 "caring", 23431 "cautious", 23432 "cavernous", 23433 "celebrated", 23434 "charming", 23435 "cheap", 23436 "cheerful", 23437 "cheery", 23438 "chief", 23439 "chilly", 23440 "chubby", 23441 "circular", 23442 "classic", 23443 "clean", 23444 "clear", 23445 "clear-cut", 23446 "clever", 23447 "close", 23448 "closed", 23449 "cloudy", 23450 "clueless", 23451 "clumsy", 23452 "cluttered", 23453 "coarse", 23454 "cold", 23455 "colorful", 23456 "colorless", 23457 "colossal", 23458 "comfortable", 23459 "common", 23460 "compassionate", 23461 "competent", 23462 "complete", 23463 "complex", 23464 "complicated", 23465 "composed", 23466 "concerned", 23467 "concrete", 23468 "confused", 23469 "conscious", 23470 "considerate", 23471 "constant", 23472 "content", 23473 "conventional", 23474 "cooked", 23475 "cool", 23476 "cooperative", 23477 "coordinated", 23478 "corny", 23479 "corrupt", 23480 "costly", 23481 "courageous", 23482 "courteous", 23483 "crafty", 23484 "crazy", 23485 "creamy", 23486 "creative", 23487 "creepy", 23488 "criminal", 23489 "crisp", 23490 "critical", 23491 "crooked", 23492 "crowded", 23493 "cruel", 23494 "crushing", 23495 "cuddly", 23496 "cultivated", 23497 "cultured", 23498 "cumbersome", 23499 "curly", 23500 "curvy", 23501 "cute", 23502 "cylindrical", 23503 "damaged", 23504 "damp", 23505 "dangerous", 23506 "dapper", 23507 "daring", 23508 "darling", 23509 "dark", 23510 "dazzling", 23511 "dead", 23512 "deadly", 23513 "deafening", 23514 "dear", 23515 "dearest", 23516 "decent", 23517 "decimal", 23518 "decisive", 23519 "deep", 23520 "defenseless", 23521 "defensive", 23522 "defiant", 23523 "deficient", 23524 "definite", 23525 "definitive", 23526 "delayed", 23527 "delectable", 23528 "delicious", 23529 "delightful", 23530 "delirious", 23531 "demanding", 23532 "dense", 23533 "dental", 23534 "dependable", 23535 "dependent", 23536 "descriptive", 23537 "deserted", 23538 "detailed", 23539 "determined", 23540 "devoted", 23541 "different", 23542 "difficult", 23543 "digital", 23544 "diligent", 23545 "dim", 23546 "dimpled", 23547 "dimwitted", 23548 "direct", 23549 "disastrous", 23550 "discrete", 23551 "disfigured", 23552 "disgusting", 23553 "disloyal", 23554 "dismal", 23555 "distant", 23556 "downright", 23557 "dreary", 23558 "dirty", 23559 "disguised", 23560 "dishonest", 23561 "dismal", 23562 "distant", 23563 "distinct", 23564 "distorted", 23565 "dizzy", 23566 "dopey", 23567 "doting", 23568 "double", 23569 "downright", 23570 "drab", 23571 "drafty", 23572 "dramatic", 23573 "dreary", 23574 "droopy", 23575 "dry", 23576 "dual", 23577 "dull", 23578 "dutiful", 23579 "each", 23580 "eager", 23581 "earnest", 23582 "early", 23583 "easy", 23584 "easy-going", 23585 "ecstatic", 23586 "edible", 23587 "educated", 23588 "elaborate", 23589 "elastic", 23590 "elated", 23591 "elderly", 23592 "electric", 23593 "elegant", 23594 "elementary", 23595 "elliptical", 23596 "embarrassed", 23597 "embellished", 23598 "eminent", 23599 "emotional", 23600 "empty", 23601 "enchanted", 23602 "enchanting", 23603 "energetic", 23604 "enlightened", 23605 "enormous", 23606 "enraged", 23607 "entire", 23608 "envious", 23609 "equal", 23610 "equatorial", 23611 "essential", 23612 "esteemed", 23613 "ethical", 23614 "euphoric", 23615 "even", 23616 "evergreen", 23617 "everlasting", 23618 "every", 23619 "evil", 23620 "exalted", 23621 "excellent", 23622 "exemplary", 23623 "exhausted", 23624 "excitable", 23625 "excited", 23626 "exciting", 23627 "exotic", 23628 "expensive", 23629 "experienced", 23630 "expert", 23631 "extraneous", 23632 "extroverted", 23633 "extra-large", 23634 "extra-small", 23635 "fabulous", 23636 "failing", 23637 "faint", 23638 "fair", 23639 "faithful", 23640 "fake", 23641 "false", 23642 "familiar", 23643 "famous", 23644 "fancy", 23645 "fantastic", 23646 "far", 23647 "faraway", 23648 "far-flung", 23649 "far-off", 23650 "fast", 23651 "fat", 23652 "fatal", 23653 "fatherly", 23654 "favorable", 23655 "favorite", 23656 "fearful", 23657 "fearless", 23658 "feisty", 23659 "feline", 23660 "female", 23661 "feminine", 23662 "few", 23663 "fickle", 23664 "filthy", 23665 "fine", 23666 "finished", 23667 "firm", 23668 "first", 23669 "firsthand", 23670 "fitting", 23671 "fixed", 23672 "flaky", 23673 "flamboyant", 23674 "flashy", 23675 "flat", 23676 "flawed", 23677 "flawless", 23678 "flickering", 23679 "flimsy", 23680 "flippant", 23681 "flowery", 23682 "fluffy", 23683 "fluid", 23684 "flustered", 23685 "focused", 23686 "fond", 23687 "foolhardy", 23688 "foolish", 23689 "forceful", 23690 "forked", 23691 "formal", 23692 "forsaken", 23693 "forthright", 23694 "fortunate", 23695 "fragrant", 23696 "frail", 23697 "frank", 23698 "frayed", 23699 "free", 23700 "french", 23701 "fresh", 23702 "frequent", 23703 "friendly", 23704 "frightened", 23705 "frightening", 23706 "frigid", 23707 "frilly", 23708 "frizzy", 23709 "frivolous", 23710 "front", 23711 "frosty", 23712 "frozen", 23713 "frugal", 23714 "fruitful", 23715 "full", 23716 "fumbling", 23717 "functional", 23718 "funny", 23719 "fussy", 23720 "fuzzy", 23721 "gargantuan", 23722 "gaseous", 23723 "general", 23724 "generous", 23725 "gentle", 23726 "genuine", 23727 "giant", 23728 "giddy", 23729 "gigantic", 23730 "gifted", 23731 "giving", 23732 "glamorous", 23733 "glaring", 23734 "glass", 23735 "gleaming", 23736 "gleeful", 23737 "glistening", 23738 "glittering", 23739 "gloomy", 23740 "glorious", 23741 "glossy", 23742 "glum", 23743 "golden", 23744 "good", 23745 "good-natured", 23746 "gorgeous", 23747 "graceful", 23748 "gracious", 23749 "grand", 23750 "grandiose", 23751 "granular", 23752 "grateful", 23753 "grave", 23754 "gray", 23755 "great", 23756 "greedy", 23757 "green", 23758 "gregarious", 23759 "grim", 23760 "grimy", 23761 "gripping", 23762 "grizzled", 23763 "gross", 23764 "grotesque", 23765 "grouchy", 23766 "grounded", 23767 "growing", 23768 "growling", 23769 "grown", 23770 "grubby", 23771 "gruesome", 23772 "grumpy", 23773 "guilty", 23774 "gullible", 23775 "gummy", 23776 "hairy", 23777 "half", 23778 "handmade", 23779 "handsome", 23780 "handy", 23781 "happy", 23782 "happy-go-lucky", 23783 "hard", 23784 "hard-to-find", 23785 "harmful", 23786 "harmless", 23787 "harmonious", 23788 "harsh", 23789 "hasty", 23790 "hateful", 23791 "haunting", 23792 "healthy", 23793 "heartfelt", 23794 "hearty", 23795 "heavenly", 23796 "heavy", 23797 "hefty", 23798 "helpful", 23799 "helpless", 23800 "hidden", 23801 "hideous", 23802 "high", 23803 "high-level", 23804 "hilarious", 23805 "hoarse", 23806 "hollow", 23807 "homely", 23808 "honest", 23809 "honorable", 23810 "honored", 23811 "hopeful", 23812 "horrible", 23813 "hospitable", 23814 "hot", 23815 "huge", 23816 "humble", 23817 "humiliating", 23818 "humming", 23819 "humongous", 23820 "hungry", 23821 "hurtful", 23822 "husky", 23823 "icky", 23824 "icy", 23825 "ideal", 23826 "idealistic", 23827 "identical", 23828 "idle", 23829 "idiotic", 23830 "idolized", 23831 "ignorant", 23832 "ill", 23833 "illegal", 23834 "ill-fated", 23835 "ill-informed", 23836 "illiterate", 23837 "illustrious", 23838 "imaginary", 23839 "imaginative", 23840 "immaculate", 23841 "immaterial", 23842 "immediate", 23843 "immense", 23844 "impassioned", 23845 "impeccable", 23846 "impartial", 23847 "imperfect", 23848 "imperturbable", 23849 "impish", 23850 "impolite", 23851 "important", 23852 "impossible", 23853 "impractical", 23854 "impressionable", 23855 "impressive", 23856 "improbable", 23857 "impure", 23858 "inborn", 23859 "incomparable", 23860 "incompatible", 23861 "incomplete", 23862 "inconsequential", 23863 "incredible", 23864 "indelible", 23865 "inexperienced", 23866 "indolent", 23867 "infamous", 23868 "infantile", 23869 "infatuated", 23870 "inferior", 23871 "infinite", 23872 "informal", 23873 "innocent", 23874 "insecure", 23875 "insidious", 23876 "insignificant", 23877 "insistent", 23878 "instructive", 23879 "insubstantial", 23880 "intelligent", 23881 "intent", 23882 "intentional", 23883 "interesting", 23884 "internal", 23885 "international", 23886 "intrepid", 23887 "ironclad", 23888 "irresponsible", 23889 "irritating", 23890 "itchy", 23891 "jaded", 23892 "jagged", 23893 "jam-packed", 23894 "jaunty", 23895 "jealous", 23896 "jittery", 23897 "joint", 23898 "jolly", 23899 "jovial", 23900 "joyful", 23901 "joyous", 23902 "jubilant", 23903 "judicious", 23904 "juicy", 23905 "jumbo", 23906 "junior", 23907 "jumpy", 23908 "juvenile", 23909 "kaleidoscopic", 23910 "keen", 23911 "key", 23912 "kind", 23913 "kindhearted", 23914 "kindly", 23915 "klutzy", 23916 "knobby", 23917 "knotty", 23918 "knowledgeable", 23919 "knowing", 23920 "known", 23921 "kooky", 23922 "kosher", 23923 "lame", 23924 "lanky", 23925 "large", 23926 "last", 23927 "lasting", 23928 "late", 23929 "lavish", 23930 "lawful", 23931 "lazy", 23932 "leading", 23933 "lean", 23934 "leafy", 23935 "left", 23936 "legal", 23937 "legitimate", 23938 "light", 23939 "lighthearted", 23940 "likable", 23941 "likely", 23942 "limited", 23943 "limp", 23944 "limping", 23945 "linear", 23946 "lined", 23947 "liquid", 23948 "little", 23949 "live", 23950 "lively", 23951 "livid", 23952 "loathsome", 23953 "lone", 23954 "lonely", 23955 "long", 23956 "long-term", 23957 "loose", 23958 "lopsided", 23959 "lost", 23960 "loud", 23961 "lovable", 23962 "lovely", 23963 "loving", 23964 "low", 23965 "loyal", 23966 "lucky", 23967 "lumbering", 23968 "luminous", 23969 "lumpy", 23970 "lustrous", 23971 "luxurious", 23972 "mad", 23973 "made-up", 23974 "magnificent", 23975 "majestic", 23976 "major", 23977 "male", 23978 "mammoth", 23979 "married", 23980 "marvelous", 23981 "masculine", 23982 "massive", 23983 "mature", 23984 "meager", 23985 "mealy", 23986 "mean", 23987 "measly", 23988 "meaty", 23989 "medical", 23990 "mediocre", 23991 "medium", 23992 "meek", 23993 "mellow", 23994 "melodic", 23995 "memorable", 23996 "menacing", 23997 "merry", 23998 "messy", 23999 "metallic", 24000 "mild", 24001 "milky", 24002 "mindless", 24003 "miniature", 24004 "minor", 24005 "minty", 24006 "miserable", 24007 "miserly", 24008 "misguided", 24009 "misty", 24010 "mixed", 24011 "modern", 24012 "modest", 24013 "moist", 24014 "monstrous", 24015 "monthly", 24016 "monumental", 24017 "moral", 24018 "mortified", 24019 "motherly", 24020 "motionless", 24021 "mountainous", 24022 "muddy", 24023 "muffled", 24024 "multicolored", 24025 "mundane", 24026 "murky", 24027 "mushy", 24028 "musty", 24029 "muted", 24030 "mysterious", 24031 "naive", 24032 "narrow", 24033 "nasty", 24034 "natural", 24035 "naughty", 24036 "nautical", 24037 "near", 24038 "neat", 24039 "necessary", 24040 "needy", 24041 "negative", 24042 "neglected", 24043 "negligible", 24044 "neighboring", 24045 "nervous", 24046 "new", 24047 "next", 24048 "nice", 24049 "nifty", 24050 "nimble", 24051 "nippy", 24052 "nocturnal", 24053 "noisy", 24054 "nonstop", 24055 "normal", 24056 "notable", 24057 "noted", 24058 "noteworthy", 24059 "novel", 24060 "noxious", 24061 "numb", 24062 "nutritious", 24063 "nutty", 24064 "obedient", 24065 "obese", 24066 "oblong", 24067 "oily", 24068 "oblong", 24069 "obvious", 24070 "occasional", 24071 "odd", 24072 "oddball", 24073 "offbeat", 24074 "offensive", 24075 "official", 24076 "old", 24077 "old-fashioned", 24078 "only", 24079 "open", 24080 "optimal", 24081 "optimistic", 24082 "opulent", 24083 "orange", 24084 "orderly", 24085 "organic", 24086 "ornate", 24087 "ornery", 24088 "ordinary", 24089 "original", 24090 "other", 24091 "our", 24092 "outlying", 24093 "outgoing", 24094 "outlandish", 24095 "outrageous", 24096 "outstanding", 24097 "oval", 24098 "overcooked", 24099 "overdue", 24100 "overjoyed", 24101 "overlooked", 24102 "palatable", 24103 "pale", 24104 "paltry", 24105 "parallel", 24106 "parched", 24107 "partial", 24108 "passionate", 24109 "past", 24110 "pastel", 24111 "peaceful", 24112 "peppery", 24113 "perfect", 24114 "perfumed", 24115 "periodic", 24116 "perky", 24117 "personal", 24118 "pertinent", 24119 "pesky", 24120 "pessimistic", 24121 "petty", 24122 "phony", 24123 "physical", 24124 "piercing", 24125 "pink", 24126 "pitiful", 24127 "plain", 24128 "plaintive", 24129 "plastic", 24130 "playful", 24131 "pleasant", 24132 "pleased", 24133 "pleasing", 24134 "plump", 24135 "plush", 24136 "polished", 24137 "polite", 24138 "political", 24139 "pointed", 24140 "pointless", 24141 "poised", 24142 "poor", 24143 "popular", 24144 "portly", 24145 "posh", 24146 "positive", 24147 "possible", 24148 "potable", 24149 "powerful", 24150 "powerless", 24151 "practical", 24152 "precious", 24153 "present", 24154 "prestigious", 24155 "pretty", 24156 "precious", 24157 "previous", 24158 "pricey", 24159 "prickly", 24160 "primary", 24161 "prime", 24162 "pristine", 24163 "private", 24164 "prize", 24165 "probable", 24166 "productive", 24167 "profitable", 24168 "profuse", 24169 "proper", 24170 "proud", 24171 "prudent", 24172 "punctual", 24173 "pungent", 24174 "puny", 24175 "pure", 24176 "purple", 24177 "pushy", 24178 "putrid", 24179 "puzzled", 24180 "puzzling", 24181 "quaint", 24182 "qualified", 24183 "quarrelsome", 24184 "quarterly", 24185 "queasy", 24186 "querulous", 24187 "questionable", 24188 "quick", 24189 "quick-witted", 24190 "quiet", 24191 "quintessential", 24192 "quirky", 24193 "quixotic", 24194 "quizzical", 24195 "radiant", 24196 "ragged", 24197 "rapid", 24198 "rare", 24199 "rash", 24200 "raw", 24201 "recent", 24202 "reckless", 24203 "rectangular", 24204 "ready", 24205 "real", 24206 "realistic", 24207 "reasonable", 24208 "red", 24209 "reflecting", 24210 "regal", 24211 "regular", 24212 "reliable", 24213 "relieved", 24214 "remarkable", 24215 "remorseful", 24216 "remote", 24217 "repentant", 24218 "required", 24219 "respectful", 24220 "responsible", 24221 "repulsive", 24222 "revolving", 24223 "rewarding", 24224 "rich", 24225 "rigid", 24226 "right", 24227 "ringed", 24228 "ripe", 24229 "roasted", 24230 "robust", 24231 "rosy", 24232 "rotating", 24233 "rotten", 24234 "rough", 24235 "round", 24236 "rowdy", 24237 "royal", 24238 "rubbery", 24239 "rundown", 24240 "ruddy", 24241 "rude", 24242 "runny", 24243 "rural", 24244 "rusty", 24245 "sad", 24246 "safe", 24247 "salty", 24248 "same", 24249 "sandy", 24250 "sane", 24251 "sarcastic", 24252 "sardonic", 24253 "satisfied", 24254 "scaly", 24255 "scarce", 24256 "scared", 24257 "scary", 24258 "scented", 24259 "scholarly", 24260 "scientific", 24261 "scornful", 24262 "scratchy", 24263 "scrawny", 24264 "second", 24265 "secondary", 24266 "second-hand", 24267 "secret", 24268 "self-assured", 24269 "self-reliant", 24270 "selfish", 24271 "sentimental", 24272 "separate", 24273 "serene", 24274 "serious", 24275 "serpentine", 24276 "several", 24277 "severe", 24278 "shabby", 24279 "shadowy", 24280 "shady", 24281 "shallow", 24282 "shameful", 24283 "shameless", 24284 "sharp", 24285 "shimmering", 24286 "shiny", 24287 "shocked", 24288 "shocking", 24289 "shoddy", 24290 "short", 24291 "short-term", 24292 "showy", 24293 "shrill", 24294 "shy", 24295 "sick", 24296 "silent", 24297 "silky", 24298 "silly", 24299 "silver", 24300 "similar", 24301 "simple", 24302 "simplistic", 24303 "sinful", 24304 "single", 24305 "sizzling", 24306 "skeletal", 24307 "skinny", 24308 "sleepy", 24309 "slight", 24310 "slim", 24311 "slimy", 24312 "slippery", 24313 "slow", 24314 "slushy", 24315 "small", 24316 "smart", 24317 "smoggy", 24318 "smooth", 24319 "smug", 24320 "snappy", 24321 "snarling", 24322 "sneaky", 24323 "sniveling", 24324 "snoopy", 24325 "sociable", 24326 "soft", 24327 "soggy", 24328 "solid", 24329 "somber", 24330 "some", 24331 "spherical", 24332 "sophisticated", 24333 "sore", 24334 "sorrowful", 24335 "soulful", 24336 "soupy", 24337 "sour", 24338 "spanish", 24339 "sparkling", 24340 "sparse", 24341 "specific", 24342 "spectacular", 24343 "speedy", 24344 "spicy", 24345 "spiffy", 24346 "spirited", 24347 "spiteful", 24348 "splendid", 24349 "spotless", 24350 "spotted", 24351 "spry", 24352 "square", 24353 "squeaky", 24354 "squiggly", 24355 "stable", 24356 "staid", 24357 "stained", 24358 "stale", 24359 "standard", 24360 "starchy", 24361 "stark", 24362 "starry", 24363 "steep", 24364 "sticky", 24365 "stiff", 24366 "stimulating", 24367 "stingy", 24368 "stormy", 24369 "straight", 24370 "strange", 24371 "steel", 24372 "strict", 24373 "strident", 24374 "striking", 24375 "striped", 24376 "strong", 24377 "studious", 24378 "stunning", 24379 "stupendous", 24380 "stupid", 24381 "sturdy", 24382 "stylish", 24383 "subdued", 24384 "submissive", 24385 "substantial", 24386 "subtle", 24387 "suburban", 24388 "sudden", 24389 "sugary", 24390 "sunny", 24391 "super", 24392 "superb", 24393 "superficial", 24394 "superior", 24395 "supportive", 24396 "sure-footed", 24397 "surprised", 24398 "suspicious", 24399 "svelte", 24400 "sweaty", 24401 "sweet", 24402 "sweltering", 24403 "swift", 24404 "sympathetic", 24405 "tall", 24406 "talkative", 24407 "tame", 24408 "tan", 24409 "tangible", 24410 "tart", 24411 "tasty", 24412 "tattered", 24413 "taut", 24414 "tedious", 24415 "teeming", 24416 "tempting", 24417 "tender", 24418 "tense", 24419 "tepid", 24420 "terrible", 24421 "terrific", 24422 "testy", 24423 "thankful", 24424 "that", 24425 "these", 24426 "thick", 24427 "thin", 24428 "third", 24429 "thirsty", 24430 "this", 24431 "thorough", 24432 "thorny", 24433 "those", 24434 "thoughtful", 24435 "threadbare", 24436 "thrifty", 24437 "thunderous", 24438 "tidy", 24439 "tight", 24440 "timely", 24441 "tinted", 24442 "tiny", 24443 "tired", 24444 "torn", 24445 "total", 24446 "tough", 24447 "traumatic", 24448 "treasured", 24449 "tremendous", 24450 "tragic", 24451 "trained", 24452 "tremendous", 24453 "triangular", 24454 "tricky", 24455 "trifling", 24456 "trim", 24457 "trivial", 24458 "troubled", 24459 "true", 24460 "trusting", 24461 "trustworthy", 24462 "trusty", 24463 "truthful", 24464 "tubby", 24465 "turbulent", 24466 "twin", 24467 "ugly", 24468 "ultimate", 24469 "unacceptable", 24470 "unaware", 24471 "uncomfortable", 24472 "uncommon", 24473 "unconscious", 24474 "understated", 24475 "unequaled", 24476 "uneven", 24477 "unfinished", 24478 "unfit", 24479 "unfolded", 24480 "unfortunate", 24481 "unhappy", 24482 "unhealthy", 24483 "uniform", 24484 "unimportant", 24485 "unique", 24486 "united", 24487 "unkempt", 24488 "unknown", 24489 "unlawful", 24490 "unlined", 24491 "unlucky", 24492 "unnatural", 24493 "unpleasant", 24494 "unrealistic", 24495 "unripe", 24496 "unruly", 24497 "unselfish", 24498 "unsightly", 24499 "unsteady", 24500 "unsung", 24501 "untidy", 24502 "untimely", 24503 "untried", 24504 "untrue", 24505 "unused", 24506 "unusual", 24507 "unwelcome", 24508 "unwieldy", 24509 "unwilling", 24510 "unwitting", 24511 "unwritten", 24512 "upbeat", 24513 "upright", 24514 "upset", 24515 "urban", 24516 "usable", 24517 "used", 24518 "useful", 24519 "useless", 24520 "utilized", 24521 "utter", 24522 "vacant", 24523 "vague", 24524 "vain", 24525 "valid", 24526 "valuable", 24527 "vapid", 24528 "variable", 24529 "vast", 24530 "velvety", 24531 "venerated", 24532 "vengeful", 24533 "verifiable", 24534 "vibrant", 24535 "vicious", 24536 "victorious", 24537 "vigilant", 24538 "vigorous", 24539 "villainous", 24540 "violet", 24541 "violent", 24542 "virtual", 24543 "virtuous", 24544 "visible", 24545 "vital", 24546 "vivacious", 24547 "vivid", 24548 "voluminous", 24549 "wan", 24550 "warlike", 24551 "warm", 24552 "warmhearted", 24553 "warped", 24554 "wary", 24555 "wasteful", 24556 "watchful", 24557 "waterlogged", 24558 "watery", 24559 "wavy", 24560 "wealthy", 24561 "weak", 24562 "weary", 24563 "webbed", 24564 "wee", 24565 "weekly", 24566 "weepy", 24567 "weighty", 24568 "weird", 24569 "welcome", 24570 "well-documented", 24571 "well-groomed", 24572 "well-informed", 24573 "well-lit", 24574 "well-made", 24575 "well-off", 24576 "well-to-do", 24577 "well-worn", 24578 "wet", 24579 "which", 24580 "whimsical", 24581 "whirlwind", 24582 "whispered", 24583 "white", 24584 "whole", 24585 "whopping", 24586 "wicked", 24587 "wide", 24588 "wide-eyed", 24589 "wiggly", 24590 "wild", 24591 "willing", 24592 "wilted", 24593 "winding", 24594 "windy", 24595 "winged", 24596 "wiry", 24597 "wise", 24598 "witty", 24599 "wobbly", 24600 "woeful", 24601 "wonderful", 24602 "wooden", 24603 "woozy", 24604 "wordy", 24605 "worldly", 24606 "worn", 24607 "worried", 24608 "worrisome", 24609 "worse", 24610 "worst", 24611 "worthless", 24612 "worthwhile", 24613 "worthy", 24614 "wrathful", 24615 "wretched", 24616 "writhing", 24617 "wrong", 24618 "wry", 24619 "yawning", 24620 "yearly", 24621 "yellow", 24622 "yellowish", 24623 "young", 24624 "youthful", 24625 "yummy", 24626 "zany", 24627 "zealous", 24628 "zesty", 24629 "zigzag" 24630 ]; 24631 return choice(data, this.rnd); 24632 } 24633 24634 /// 24635 string wordInterjection() { 24636 auto data = [ 24637 "yuck", 24638 "oh", 24639 "phooey", 24640 "blah", 24641 "boo", 24642 "whoa", 24643 "yowza", 24644 "huzzah", 24645 "boohoo", 24646 "fooey", 24647 "geez", 24648 "pfft", 24649 "ew", 24650 "ah", 24651 "yum", 24652 "brr", 24653 "hm", 24654 "yahoo", 24655 "aha", 24656 "woot", 24657 "drat", 24658 "gah", 24659 "meh", 24660 "psst", 24661 "aw", 24662 "ugh", 24663 "yippee", 24664 "eek", 24665 "gee", 24666 "bah", 24667 "gadzooks", 24668 "duh", 24669 "ha", 24670 "mmm", 24671 "ouch", 24672 "phew", 24673 "ack", 24674 "uh-huh", 24675 "gosh", 24676 "hmph", 24677 "pish", 24678 "zowie", 24679 "er", 24680 "ick", 24681 "oof", 24682 "um" 24683 ]; 24684 return choice(data, this.rnd); 24685 } 24686 24687 /// 24688 string wordPreposition() { 24689 auto data = [ 24690 "a", 24691 "abaft", 24692 "aboard", 24693 "about", 24694 "above", 24695 "absent", 24696 "across", 24697 "afore", 24698 "after", 24699 "against", 24700 "along", 24701 "alongside", 24702 "amid", 24703 "amidst", 24704 "among", 24705 "amongst", 24706 "an", 24707 "anenst", 24708 "anti", 24709 "apropos", 24710 "apud", 24711 "around", 24712 "as", 24713 "aside", 24714 "astride", 24715 "at", 24716 "athwart", 24717 "atop", 24718 "barring", 24719 "before", 24720 "behind", 24721 "below", 24722 "beneath", 24723 "beside", 24724 "besides", 24725 "between", 24726 "beyond", 24727 "but", 24728 "by", 24729 "circa", 24730 "concerning", 24731 "considering", 24732 "despite", 24733 "down", 24734 "during", 24735 "except", 24736 "excepting", 24737 "excluding", 24738 "failing", 24739 "following", 24740 "for", 24741 "forenenst", 24742 "from", 24743 "given", 24744 "in", 24745 "including", 24746 "inside", 24747 "into", 24748 "lest", 24749 "like", 24750 "mid", 24751 "midst", 24752 "minus", 24753 "modulo", 24754 "near", 24755 "next", 24756 "notwithstanding", 24757 "of", 24758 "off", 24759 "on", 24760 "onto", 24761 "opposite", 24762 "out", 24763 "outside", 24764 "over", 24765 "pace", 24766 "past", 24767 "per", 24768 "plus", 24769 "pro", 24770 "qua", 24771 "regarding", 24772 "round", 24773 "sans", 24774 "save", 24775 "since", 24776 "than", 24777 "the", 24778 "through", 24779 "throughout", 24780 "till", 24781 "times", 24782 "to", 24783 "toward", 24784 "towards", 24785 "under", 24786 "underneath", 24787 "unlike", 24788 "until", 24789 "unto", 24790 "up", 24791 "upon", 24792 "versus", 24793 "via", 24794 "vice", 24795 "with", 24796 "within", 24797 "without", 24798 "worth" 24799 ]; 24800 return choice(data, this.rnd); 24801 } 24802 24803 /// 24804 string wordAdverb() { 24805 auto data = [ 24806 "abnormally", 24807 "absentmindedly", 24808 "accidentally", 24809 "acidly", 24810 "actually", 24811 "adventurously", 24812 "afterwards", 24813 "almost", 24814 "always", 24815 "angrily", 24816 "annually", 24817 "anxiously", 24818 "arrogantly", 24819 "awkwardly", 24820 "badly", 24821 "bashfully", 24822 "beautifully", 24823 "bitterly", 24824 "bleakly", 24825 "blindly", 24826 "blissfully", 24827 "boastfully", 24828 "boldly", 24829 "bravely", 24830 "briefly", 24831 "brightly", 24832 "briskly", 24833 "broadly", 24834 "busily", 24835 "calmly", 24836 "carefully", 24837 "carelessly", 24838 "cautiously", 24839 "certainly", 24840 "cheerfully", 24841 "clearly", 24842 "cleverly", 24843 "closely", 24844 "coaxingly", 24845 "colorfully", 24846 "commonly", 24847 "continually", 24848 "coolly", 24849 "correctly", 24850 "courageously", 24851 "crossly", 24852 "cruelly", 24853 "curiously", 24854 "daily", 24855 "daintily", 24856 "dearly", 24857 "deceivingly", 24858 "deeply", 24859 "defiantly", 24860 "deliberately", 24861 "delightfully", 24862 "diligently", 24863 "dimly", 24864 "doubtfully", 24865 "dreamily", 24866 "easily", 24867 "elegantly", 24868 "energetically", 24869 "enormously", 24870 "enthusiastically", 24871 "equally", 24872 "especially", 24873 "even", 24874 "evenly", 24875 "eventually", 24876 "exactly", 24877 "excitedly", 24878 "extremely", 24879 "fairly", 24880 "faithfully", 24881 "famously", 24882 "far", 24883 "fast", 24884 "fatally", 24885 "ferociously", 24886 "fervently", 24887 "fiercely", 24888 "fondly", 24889 "foolishly", 24890 "fortunately", 24891 "frankly", 24892 "frantically", 24893 "freely", 24894 "frenetically", 24895 "frightfully", 24896 "fully", 24897 "furiously", 24898 "generally", 24899 "generously", 24900 "gently", 24901 "gladly", 24902 "gleefully", 24903 "gracefully", 24904 "gratefully", 24905 "greatly", 24906 "greedily", 24907 "happily", 24908 "hastily", 24909 "healthily", 24910 "heavily", 24911 "helpfully", 24912 "helplessly", 24913 "highly", 24914 "honestly", 24915 "hopelessly", 24916 "hourly", 24917 "hungrily", 24918 "immediately", 24919 "innocently", 24920 "inquisitively", 24921 "instantly", 24922 "intensely", 24923 "intently", 24924 "interestingly", 24925 "inwardly", 24926 "irritably", 24927 "jaggedly", 24928 "jealously", 24929 "joshingly", 24930 "jovially", 24931 "joyfully", 24932 "joyously", 24933 "jubilantly", 24934 "judgementally", 24935 "justly", 24936 "keenly", 24937 "kiddingly", 24938 "kindheartedly", 24939 "kindly", 24940 "kissingly", 24941 "knavishly", 24942 "knottily", 24943 "knowingly", 24944 "knowledgeably", 24945 "kookily", 24946 "lazily", 24947 "less", 24948 "lightly", 24949 "likely", 24950 "limply", 24951 "lively", 24952 "loftily", 24953 "longingly", 24954 "loosely", 24955 "loudly", 24956 "lovingly", 24957 "loyally", 24958 "madly", 24959 "majestically", 24960 "meaningfully", 24961 "mechanically", 24962 "merrily", 24963 "miserably", 24964 "mockingly", 24965 "monthly", 24966 "more", 24967 "mortally", 24968 "mostly", 24969 "mysteriously", 24970 "naturally", 24971 "nearly", 24972 "neatly", 24973 "needily", 24974 "nervously", 24975 "never", 24976 "nicely", 24977 "noisily", 24978 "not", 24979 "obediently", 24980 "obnoxiously", 24981 "oddly", 24982 "offensively", 24983 "officially", 24984 "often", 24985 "only", 24986 "openly", 24987 "optimistically", 24988 "overconfidently", 24989 "owlishly", 24990 "painfully", 24991 "partially", 24992 "patiently", 24993 "perfectly", 24994 "physically", 24995 "playfully", 24996 "politely", 24997 "poorly", 24998 "positively", 24999 "potentially", 25000 "powerfully", 25001 "promptly", 25002 "properly", 25003 "punctually", 25004 "quaintly", 25005 "quarrelsomely", 25006 "queasily", 25007 "queerly", 25008 "questionably", 25009 "questioningly", 25010 "quicker", 25011 "quickly", 25012 "quietly", 25013 "quirkily", 25014 "quizzically", 25015 "rapidly", 25016 "rarely", 25017 "readily", 25018 "really", 25019 "reassuringly", 25020 "recklessly", 25021 "regularly", 25022 "reluctantly", 25023 "repeatedly", 25024 "reproachfully", 25025 "restfully", 25026 "righteously", 25027 "rightfully", 25028 "rigidly", 25029 "roughly", 25030 "rudely", 25031 "sadly", 25032 "safely", 25033 "scarcely", 25034 "scarily", 25035 "searchingly", 25036 "sedately", 25037 "seemingly", 25038 "seldom", 25039 "selfishly", 25040 "separately", 25041 "seriously", 25042 "shakily", 25043 "sharply", 25044 "sheepishly", 25045 "shrilly", 25046 "shyly", 25047 "silently", 25048 "sleepily", 25049 "slowly", 25050 "smoothly", 25051 "softly", 25052 "solemnly", 25053 "solidly", 25054 "sometimes", 25055 "soon", 25056 "speedily", 25057 "stealthily", 25058 "sternly", 25059 "strictly", 25060 "successfully", 25061 "suddenly", 25062 "surprisingly", 25063 "suspiciously", 25064 "sweetly", 25065 "swiftly", 25066 "sympathetically", 25067 "tenderly", 25068 "tensely", 25069 "terribly", 25070 "thankfully", 25071 "thoroughly", 25072 "thoughtfully", 25073 "tightly", 25074 "tomorrow", 25075 "too", 25076 "tremendously", 25077 "triumphantly", 25078 "truly", 25079 "truthfully", 25080 "ultimately", 25081 "unabashedly", 25082 "unaccountably", 25083 "unbearably", 25084 "unethically", 25085 "unexpectedly", 25086 "unfortunately", 25087 "unimpressively", 25088 "unnaturally", 25089 "unnecessarily", 25090 "upbeat", 25091 "upliftingly", 25092 "upright", 25093 "upside-down", 25094 "upward", 25095 "upwardly", 25096 "urgently", 25097 "usefully", 25098 "uselessly", 25099 "usually", 25100 "utterly", 25101 "vacantly", 25102 "vaguely", 25103 "vainly", 25104 "valiantly", 25105 "vastly", 25106 "verbally", 25107 "very", 25108 "viciously", 25109 "victoriously", 25110 "violently", 25111 "vivaciously", 25112 "voluntarily", 25113 "warmly", 25114 "weakly", 25115 "wearily", 25116 "well", 25117 "wetly", 25118 "wholly", 25119 "wildly", 25120 "willfully", 25121 "wisely", 25122 "woefully", 25123 "wonderfully", 25124 "worriedly", 25125 "wrongly", 25126 "yawningly", 25127 "yearly", 25128 "yearningly", 25129 "yesterday", 25130 "yieldingly", 25131 "youthfully" 25132 ]; 25133 return choice(data, this.rnd); 25134 } 25135 25136 /// 25137 string wordVerb() { 25138 auto data = [ 25139 "abandon", 25140 "abase", 25141 "abate", 25142 "abbreviate", 25143 "abdicate", 25144 "abduct", 25145 "abet", 25146 "abhor", 25147 "abide", 25148 "abjure", 25149 "abnegate", 25150 "abolish", 25151 "abominate", 25152 "abort", 25153 "abound", 25154 "abrade", 25155 "abridge", 25156 "abrogate", 25157 "abscond", 25158 "abseil", 25159 "absent", 25160 "absolve", 25161 "absorb", 25162 "abstain", 25163 "abstract", 25164 "abuse", 25165 "abut", 25166 "accede", 25167 "accelerate", 25168 "accent", 25169 "accentuate", 25170 "accept", 25171 "access", 25172 "accessorise", 25173 "accessorize", 25174 "acclaim", 25175 "acclimate", 25176 "acclimatise", 25177 "acclimatize", 25178 "accommodate", 25179 "accompany", 25180 "accomplish", 25181 "accord", 25182 "accost", 25183 "account", 25184 "accouter", 25185 "accoutre", 25186 "accredit", 25187 "accrue", 25188 "acculturate", 25189 "accumulate", 25190 "accuse", 25191 "accustom", 25192 "ace", 25193 "ache", 25194 "achieve", 25195 "acidify", 25196 "acknowledge", 25197 "acquaint", 25198 "acquiesce", 25199 "acquire", 25200 "acquit", 25201 "act", 25202 "action", 25203 "activate", 25204 "actualise", 25205 "actualize", 25206 "actuate", 25207 "adapt", 25208 "add", 25209 "addle", 25210 "address", 25211 "adduce", 25212 "adhere", 25213 "adjoin", 25214 "adjourn", 25215 "adjudge", 25216 "adjudicate", 25217 "adjure", 25218 "adjust", 25219 "administer", 25220 "admire", 25221 "admit", 25222 "admonish", 25223 "adopt", 25224 "adore", 25225 "adorn", 25226 "adsorb", 25227 "adulterate", 25228 "adumbrate", 25229 "advance", 25230 "advantage", 25231 "advertise", 25232 "advise", 25233 "advocate", 25234 "aerate", 25235 "affect", 25236 "affiliate", 25237 "affirm", 25238 "affix", 25239 "afflict", 25240 "afford", 25241 "afforest", 25242 "affront", 25243 "age", 25244 "agglomerate", 25245 "aggravate", 25246 "aggregate", 25247 "agitate", 25248 "agonise", 25249 "agonize", 25250 "agree", 25251 "aid", 25252 "ail", 25253 "aim", 25254 "air", 25255 "airbrush", 25256 "airdrop", 25257 "airfreight", 25258 "airlift", 25259 "alarm", 25260 "alert", 25261 "alienate", 25262 "alight", 25263 "align", 25264 "allay", 25265 "allege", 25266 "alleviate", 25267 "allocate", 25268 "allot", 25269 "allow", 25270 "alloy", 25271 "allude", 25272 "ally", 25273 "alphabetise", 25274 "alphabetize", 25275 "alter", 25276 "alternate", 25277 "amalgamate", 25278 "amass", 25279 "amaze", 25280 "amble", 25281 "ambush", 25282 "ameliorate", 25283 "amend", 25284 "amortise", 25285 "amortize", 25286 "amount", 25287 "amplify", 25288 "amputate", 25289 "amuse", 25290 "anaesthetise", 25291 "anaesthetize", 25292 "analyse", 25293 "anchor", 25294 "anesthetize", 25295 "anger", 25296 "angle", 25297 "anglicise", 25298 "anglicize", 25299 "animate", 25300 "anneal", 25301 "annex", 25302 "annihilate", 25303 "annotate", 25304 "announce", 25305 "annoy", 25306 "annul", 25307 "anodise", 25308 "anodize", 25309 "anoint", 25310 "anonymise", 25311 "anonymize", 25312 "answer", 25313 "antagonise", 25314 "antagonize", 25315 "antedate", 25316 "anthologise", 25317 "anthologize", 25318 "anticipate", 25319 "ape", 25320 "apologise", 25321 "apologize", 25322 "apostrophise", 25323 "apostrophize", 25324 "appal", 25325 "appall", 25326 "appeal", 25327 "appear", 25328 "appease", 25329 "append", 25330 "appertain", 25331 "applaud", 25332 "apply", 25333 "appoint", 25334 "apportion", 25335 "appraise", 25336 "appreciate", 25337 "apprehend", 25338 "apprentice", 25339 "apprise", 25340 "approach", 25341 "appropriate", 25342 "approve", 25343 "approximate", 25344 "aquaplane", 25345 "arbitrate", 25346 "arc", 25347 "arch", 25348 "archive", 25349 "argue", 25350 "arise", 25351 "arm", 25352 "arouse", 25353 "arraign", 25354 "arrange", 25355 "array", 25356 "arrest", 25357 "arrive", 25358 "arrogate", 25359 "arse", 25360 "art", 25361 "articulate", 25362 "ascend", 25363 "ascertain", 25364 "ascribe", 25365 "ask", 25366 "asphyxiate", 25367 "aspirate", 25368 "aspire", 25369 "assail", 25370 "assassinate", 25371 "assault", 25372 "assay", 25373 "assemble", 25374 "assent", 25375 "assert", 25376 "assess", 25377 "assign", 25378 "assimilate", 25379 "assist", 25380 "associate", 25381 "assuage", 25382 "assume", 25383 "assure", 25384 "asterisk", 25385 "astonish", 25386 "astound", 25387 "atomise", 25388 "atomize", 25389 "atone", 25390 "atrophy", 25391 "attach", 25392 "attack", 25393 "attain", 25394 "attempt", 25395 "attend", 25396 "attenuate", 25397 "attest", 25398 "attract", 25399 "attribute", 25400 "auction", 25401 "audit", 25402 "audition", 25403 "augment", 25404 "augur", 25405 "authenticate", 25406 "author", 25407 "authorise", 25408 "authorize", 25409 "autograph", 25410 "automate", 25411 "autosave", 25412 "autowind", 25413 "avail", 25414 "avenge", 25415 "aver", 25416 "average", 25417 "avert", 25418 "avoid", 25419 "avow", 25420 "await", 25421 "awake", 25422 "awaken", 25423 "award", 25424 "awe", 25425 "ax", 25426 "axe", 25427 "baa", 25428 "babble", 25429 "baby", 25430 "babysit", 25431 "back", 25432 "backcomb", 25433 "backdate", 25434 "backfill", 25435 "backfire", 25436 "backlight", 25437 "backpack", 25438 "backspace", 25439 "backtrack", 25440 "badger", 25441 "baffle", 25442 "bag", 25443 "bail", 25444 "bait", 25445 "bake", 25446 "balance", 25447 "bale", 25448 "ball", 25449 "balloon", 25450 "ballot", 25451 "balls", 25452 "bamboozle", 25453 "ban", 25454 "band", 25455 "bandage", 25456 "bandy", 25457 "bang", 25458 "bangs", 25459 "banish", 25460 "bank", 25461 "bankroll", 25462 "bankrupt", 25463 "banter", 25464 "baptise", 25465 "baptize", 25466 "bar", 25467 "barbecue", 25468 "bare", 25469 "barf", 25470 "bargain", 25471 "barge", 25472 "bark", 25473 "barnstorm", 25474 "barrack", 25475 "barrel", 25476 "barricade", 25477 "barter", 25478 "base", 25479 "bash", 25480 "bask", 25481 "bastardise", 25482 "bastardize", 25483 "baste", 25484 "bat", 25485 "batch", 25486 "bath", 25487 "bathe", 25488 "batten", 25489 "batter", 25490 "battle", 25491 "baulk", 25492 "bawl", 25493 "bay", 25494 "bayonet", 25495 "be", 25496 "beach", 25497 "beam", 25498 "bean", 25499 "bear", 25500 "beard", 25501 "beat", 25502 "beatbox", 25503 "beatboxer", 25504 "beatify", 25505 "beautify", 25506 "beaver", 25507 "beckon", 25508 "become", 25509 "bed", 25510 "bedazzle", 25511 "bedeck", 25512 "bedevil", 25513 "beef", 25514 "beep", 25515 "beetle", 25516 "befall", 25517 "befit", 25518 "befog", 25519 "befriend", 25520 "beg", 25521 "beget", 25522 "beggar", 25523 "begin", 25524 "begrudge", 25525 "beguile", 25526 "behave", 25527 "behead", 25528 "behold", 25529 "behoove", 25530 "behove", 25531 "belabor", 25532 "belabour", 25533 "belay", 25534 "belch", 25535 "belie", 25536 "believe", 25537 "belittle", 25538 "bellow", 25539 "belly", 25540 "bellyache", 25541 "belong", 25542 "belt", 25543 "bemoan", 25544 "bemuse", 25545 "benchmark", 25546 "bend", 25547 "benefit", 25548 "bequeath", 25549 "berate", 25550 "bereave", 25551 "berth", 25552 "beseech", 25553 "beset", 25554 "besiege", 25555 "besmirch", 25556 "bespatter", 25557 "bespeak", 25558 "best", 25559 "bestir", 25560 "bestow", 25561 "bestride", 25562 "bet", 25563 "betake", 25564 "betide", 25565 "betoken", 25566 "betray", 25567 "better", 25568 "bewail", 25569 "beware", 25570 "bewilder", 25571 "bewitch", 25572 "bias", 25573 "bicker", 25574 "bicycle", 25575 "bid", 25576 "bide", 25577 "biff", 25578 "bifurcate", 25579 "big", 25580 "bike", 25581 "bilk", 25582 "bill", 25583 "billet", 25584 "billow", 25585 "bin", 25586 "bind", 25587 "binge", 25588 "biodegrade", 25589 "bird", 25590 "bisect", 25591 "bitch", 25592 "bite", 25593 "bitmap", 25594 "bivouac", 25595 "bivvy", 25596 "blab", 25597 "blabber", 25598 "black", 25599 "blackball", 25600 "blacken", 25601 "blacklist", 25602 "blackmail", 25603 "blag", 25604 "blame", 25605 "blanch", 25606 "blank", 25607 "blanket", 25608 "blare", 25609 "blaspheme", 25610 "blast", 25611 "blather", 25612 "blaze", 25613 "blazon", 25614 "bleach", 25615 "bleat", 25616 "bleed", 25617 "bleep", 25618 "blemish", 25619 "blench", 25620 "blend", 25621 "bless", 25622 "blight", 25623 "blind", 25624 "blindfold", 25625 "blindfolded", 25626 "blindside", 25627 "blink", 25628 "bliss", 25629 "blister", 25630 "blitz", 25631 "bloat", 25632 "block", 25633 "blockade", 25634 "blog", 25635 "blood", 25636 "bloom", 25637 "bloop", 25638 "blossom", 25639 "blot", 25640 "blow", 25641 "blub", 25642 "blubber", 25643 "bludge", 25644 "bludgeon", 25645 "bluff", 25646 "blunder", 25647 "blunt", 25648 "blur", 25649 "blurt", 25650 "blush", 25651 "bluster", 25652 "board", 25653 "boast", 25654 "bob", 25655 "bobble", 25656 "bode", 25657 "bodge", 25658 "bog", 25659 "boggle", 25660 "boil", 25661 "bolster", 25662 "bolt", 25663 "bomb", 25664 "bombard", 25665 "bond", 25666 "bone", 25667 "bonk", 25668 "boo", 25669 "boob", 25670 "boogie", 25671 "book", 25672 "bookmark", 25673 "boom", 25674 "boomerang", 25675 "boost", 25676 "boot", 25677 "bootleg", 25678 "booze", 25679 "bop", 25680 "border", 25681 "bore", 25682 "born", 25683 "borrow", 25684 "boss", 25685 "botch", 25686 "bother", 25687 "bottle", 25688 "bottleful", 25689 "bottom", 25690 "bounce", 25691 "bound", 25692 "bow", 25693 "bowdlerise", 25694 "bowdlerize", 25695 "bowl", 25696 "bowlful", 25697 "box", 25698 "boycott", 25699 "braai", 25700 "brace", 25701 "braces", 25702 "bracket", 25703 "brag", 25704 "braid", 25705 "brain", 25706 "brainstorm", 25707 "brainwash", 25708 "braise", 25709 "brake", 25710 "branch", 25711 "brand", 25712 "brandish", 25713 "brave", 25714 "brawl", 25715 "bray", 25716 "brazen", 25717 "breach", 25718 "break", 25719 "breakfast", 25720 "breast", 25721 "breastfeed", 25722 "breathalyse", 25723 "breathalyze", 25724 "breathe", 25725 "breed", 25726 "breeze", 25727 "brew", 25728 "bribe", 25729 "brick", 25730 "bridge", 25731 "bridle", 25732 "brief", 25733 "brighten", 25734 "brim", 25735 "bring", 25736 "bristle", 25737 "broach", 25738 "broadcast", 25739 "broaden", 25740 "broadside", 25741 "broil", 25742 "broker", 25743 "brood", 25744 "brook", 25745 "browbeat", 25746 "brown", 25747 "browse", 25748 "bruise", 25749 "bruit", 25750 "brush", 25751 "brutalise", 25752 "brutalize", 25753 "bubble", 25754 "buck", 25755 "bucket", 25756 "bucketful", 25757 "buckle", 25758 "bud", 25759 "buddy", 25760 "budge", 25761 "budget", 25762 "buff", 25763 "buffer", 25764 "buffet", 25765 "bug", 25766 "bugger", 25767 "build", 25768 "bulge", 25769 "bulk", 25770 "bulldoze", 25771 "bullshit", 25772 "bully", 25773 "bum", 25774 "bumble", 25775 "bump", 25776 "bunch", 25777 "bundle", 25778 "bung", 25779 "bungle", 25780 "bunk", 25781 "bunker", 25782 "bunt", 25783 "buoy", 25784 "burble", 25785 "burden", 25786 "burgeon", 25787 "burglarize", 25788 "burgle", 25789 "burn", 25790 "burnish", 25791 "burp", 25792 "burrow", 25793 "burst", 25794 "bury", 25795 "bus", 25796 "bushwhack", 25797 "busk", 25798 "bust", 25799 "bustle", 25800 "busy", 25801 "butcher", 25802 "butt", 25803 "butter", 25804 "button", 25805 "buttonhole", 25806 "buttress", 25807 "buy", 25808 "buzz", 25809 "buzzing", 25810 "bypass", 25811 "cable", 25812 "cache", 25813 "cackle", 25814 "caddie", 25815 "cadge", 25816 "cage", 25817 "cajole", 25818 "cake", 25819 "calcify", 25820 "calculate", 25821 "calibrate", 25822 "call", 25823 "calm", 25824 "calve", 25825 "camouflage", 25826 "camp", 25827 "campaign", 25828 "can", 25829 "canalise", 25830 "canalize", 25831 "cancel", 25832 "cane", 25833 "cannibalise", 25834 "cannibalize", 25835 "cannon", 25836 "cannulate", 25837 "canoe", 25838 "canonise", 25839 "canonize", 25840 "canoodle", 25841 "canst", 25842 "cant", 25843 "canter", 25844 "canvass", 25845 "cap", 25846 "caper", 25847 "capitalise", 25848 "capitalize", 25849 "capitulate", 25850 "capsize", 25851 "captain", 25852 "caption", 25853 "captivate", 25854 "capture", 25855 "caramelise", 25856 "caramelize", 25857 "carbonise", 25858 "carbonize", 25859 "carburise", 25860 "carburize", 25861 "card", 25862 "care", 25863 "careen", 25864 "career", 25865 "caress", 25866 "caricature", 25867 "carjack", 25868 "carol", 25869 "carom", 25870 "carouse", 25871 "carp", 25872 "carpet", 25873 "carpool", 25874 "carry", 25875 "cart", 25876 "cartwheel", 25877 "carve", 25878 "cascade", 25879 "case", 25880 "cash", 25881 "cashier", 25882 "casserole", 25883 "cast", 25884 "castigate", 25885 "castrate", 25886 "catalog", 25887 "catalogue", 25888 "catalyse", 25889 "catalyze", 25890 "catapult", 25891 "catch", 25892 "categorise", 25893 "categorize", 25894 "cater", 25895 "caterwaul", 25896 "catnap", 25897 "caucus", 25898 "caulk", 25899 "cause", 25900 "cauterise", 25901 "cauterize", 25902 "caution", 25903 "cave", 25904 "cavil", 25905 "cavort", 25906 "caw", 25907 "cc", 25908 "cease", 25909 "cede", 25910 "celebrate", 25911 "cement", 25912 "censor", 25913 "censure", 25914 "centralise", 25915 "centralize", 25916 "centre", 25917 "certificate", 25918 "certify", 25919 "chafe", 25920 "chaff", 25921 "chain", 25922 "chair", 25923 "chalk", 25924 "challenge", 25925 "champ", 25926 "champion", 25927 "chance", 25928 "change", 25929 "channel", 25930 "chant", 25931 "chaperon", 25932 "chaperone", 25933 "char", 25934 "characterise", 25935 "characterize", 25936 "charbroil", 25937 "charge", 25938 "chargesheet", 25939 "chargrill", 25940 "charm", 25941 "chart", 25942 "charter", 25943 "chase", 25944 "chasten", 25945 "chastise", 25946 "chat", 25947 "chatter", 25948 "chauffeur", 25949 "cheapen", 25950 "cheat", 25951 "cheater", 25952 "check", 25953 "checkmate", 25954 "cheek", 25955 "cheep", 25956 "cheer", 25957 "cherish", 25958 "chew", 25959 "chicken", 25960 "chide", 25961 "chill", 25962 "chillax", 25963 "chime", 25964 "chink", 25965 "chip", 25966 "chirp", 25967 "chisel", 25968 "chivvy", 25969 "chlorinate", 25970 "choke", 25971 "chomp", 25972 "choose", 25973 "chop", 25974 "choreograph", 25975 "chortle", 25976 "chorus", 25977 "christen", 25978 "chromakey", 25979 "chronicle", 25980 "chuck", 25981 "chuckle", 25982 "chug", 25983 "chunder", 25984 "chunter", 25985 "churn", 25986 "cinch", 25987 "circle", 25988 "circulate", 25989 "circumcise", 25990 "circumnavigate", 25991 "circumscribe", 25992 "circumvent", 25993 "cite", 25994 "civilise", 25995 "civilize", 25996 "clack", 25997 "claim", 25998 "clam", 25999 "clamber", 26000 "clamor", 26001 "clamour", 26002 "clamp", 26003 "clang", 26004 "clank", 26005 "clap", 26006 "clarify", 26007 "clash", 26008 "clasp", 26009 "class", 26010 "classify", 26011 "clatter", 26012 "claw", 26013 "clean", 26014 "cleanse", 26015 "clear", 26016 "cleave", 26017 "clench", 26018 "clerk", 26019 "click", 26020 "climax", 26021 "climb", 26022 "clinch", 26023 "cling", 26024 "clink", 26025 "clinking", 26026 "clip", 26027 "cloak", 26028 "clobber", 26029 "clock", 26030 "clog", 26031 "clone", 26032 "clonk", 26033 "close", 26034 "closet", 26035 "clot", 26036 "clothe", 26037 "cloud", 26038 "clout", 26039 "clown", 26040 "club", 26041 "cluck", 26042 "clue", 26043 "clump", 26044 "clunk", 26045 "cluster", 26046 "clutch", 26047 "clutter", 26048 "coach", 26049 "coagulate", 26050 "coalesce", 26051 "coarsen", 26052 "coast", 26053 "coat", 26054 "coax", 26055 "cobble", 26056 "cock", 26057 "cocoon", 26058 "coddle", 26059 "code", 26060 "codify", 26061 "coerce", 26062 "coexist", 26063 "cogitate", 26064 "cohabit", 26065 "cohere", 26066 "coil", 26067 "coin", 26068 "coincide", 26069 "collaborate", 26070 "collapse", 26071 "collar", 26072 "collate", 26073 "collect", 26074 "collectivise", 26075 "collectivize", 26076 "collide", 26077 "colligate", 26078 "collocate", 26079 "collude", 26080 "colonise", 26081 "colonize", 26082 "colorize", 26083 "colour", 26084 "comb", 26085 "combat", 26086 "combine", 26087 "combust", 26088 "come", 26089 "comfort", 26090 "command", 26091 "commandeer", 26092 "commemorate", 26093 "commence", 26094 "commend", 26095 "comment", 26096 "commentate", 26097 "commercialise", 26098 "commercialize", 26099 "commingle", 26100 "commiserate", 26101 "commission", 26102 "commit", 26103 "commune", 26104 "communicate", 26105 "commute", 26106 "compact", 26107 "compare", 26108 "compartmentalise", 26109 "compartmentalize", 26110 "compel", 26111 "compensate", 26112 "compete", 26113 "compile", 26114 "complain", 26115 "complement", 26116 "complete", 26117 "complicate", 26118 "compliment", 26119 "comply", 26120 "comport", 26121 "compose", 26122 "compost", 26123 "compound", 26124 "comprehend", 26125 "compress", 26126 "comprise", 26127 "compromise", 26128 "compute", 26129 "computerise", 26130 "computerize", 26131 "con", 26132 "conceal", 26133 "concede", 26134 "conceive", 26135 "concentrate", 26136 "conceptualise", 26137 "conceptualize", 26138 "concern", 26139 "concertina", 26140 "conciliate", 26141 "conclude", 26142 "concoct", 26143 "concrete", 26144 "concur", 26145 "concuss", 26146 "condemn", 26147 "condense", 26148 "condescend", 26149 "condition", 26150 "condone", 26151 "conduct", 26152 "cone", 26153 "confer", 26154 "confess", 26155 "confide", 26156 "configure", 26157 "confine", 26158 "confirm", 26159 "confiscate", 26160 "conflate", 26161 "conflict", 26162 "conform", 26163 "confound", 26164 "confront", 26165 "confuse", 26166 "confute", 26167 "congeal", 26168 "congratulate", 26169 "congregate", 26170 "conjecture", 26171 "conjoin", 26172 "conjugate", 26173 "conjure", 26174 "conk", 26175 "connect", 26176 "connive", 26177 "connote", 26178 "conquer", 26179 "conscientise", 26180 "conscientize", 26181 "conscript", 26182 "consecrate", 26183 "consent", 26184 "conserve", 26185 "consider", 26186 "consign", 26187 "consist", 26188 "console", 26189 "consolidate", 26190 "consort", 26191 "conspire", 26192 "constitute", 26193 "constrain", 26194 "constrict", 26195 "construct", 26196 "construe", 26197 "consult", 26198 "consume", 26199 "consummate", 26200 "contact", 26201 "contain", 26202 "contaminate", 26203 "contemplate", 26204 "contend", 26205 "content", 26206 "contest", 26207 "contextualise", 26208 "contextualize", 26209 "continue", 26210 "contort", 26211 "contract", 26212 "contradict", 26213 "contraindicate", 26214 "contrast", 26215 "contravene", 26216 "contribute", 26217 "contrive", 26218 "control", 26219 "controvert", 26220 "convalesce", 26221 "convene", 26222 "converge", 26223 "converse", 26224 "convert", 26225 "convey", 26226 "convict", 26227 "convince", 26228 "convoke", 26229 "convulse", 26230 "coo", 26231 "cook", 26232 "cool", 26233 "coop", 26234 "cooperate", 26235 "coordinate", 26236 "cop", 26237 "cope", 26238 "coppice", 26239 "copulate", 26240 "copy", 26241 "copyright", 26242 "cordon", 26243 "core", 26244 "cork", 26245 "corkscrew", 26246 "corner", 26247 "corral", 26248 "correct", 26249 "correlate", 26250 "correspond", 26251 "corrode", 26252 "corrupt", 26253 "coruscate", 26254 "cosh", 26255 "cosset", 26256 "cost", 26257 "cosy", 26258 "cotton", 26259 "couch", 26260 "cough", 26261 "counsel", 26262 "count", 26263 "countenance", 26264 "counter", 26265 "counteract", 26266 "counterbalance", 26267 "counterfeit", 26268 "countermand", 26269 "counterpoint", 26270 "countersign", 26271 "couple", 26272 "courier", 26273 "course", 26274 "court", 26275 "covenant", 26276 "cover", 26277 "covet", 26278 "cow", 26279 "cower", 26280 "cox", 26281 "cozy", 26282 "crack", 26283 "crackle", 26284 "cradle", 26285 "craft", 26286 "cram", 26287 "cramp", 26288 "crane", 26289 "crank", 26290 "crap", 26291 "crash", 26292 "crate", 26293 "crave", 26294 "crawl", 26295 "crayon", 26296 "creak", 26297 "creaking", 26298 "cream", 26299 "crease", 26300 "create", 26301 "credential", 26302 "credit", 26303 "creep", 26304 "cremate", 26305 "creolise", 26306 "creolize", 26307 "creosote", 26308 "crest", 26309 "crew", 26310 "crib", 26311 "crick", 26312 "criminalise", 26313 "criminalize", 26314 "crimp", 26315 "cringe", 26316 "crinkle", 26317 "cripple", 26318 "crisp", 26319 "criticise", 26320 "criticize", 26321 "critique", 26322 "croak", 26323 "crochet", 26324 "crook", 26325 "croon", 26326 "crop", 26327 "cross", 26328 "crouch", 26329 "crow", 26330 "crowd", 26331 "crown", 26332 "crucify", 26333 "cruise", 26334 "crumble", 26335 "crumple", 26336 "crunch", 26337 "crusade", 26338 "crush", 26339 "cry", 26340 "crystallise", 26341 "crystallize", 26342 "cube", 26343 "cuckold", 26344 "cuddle", 26345 "cudgel", 26346 "cue", 26347 "cuff", 26348 "cull", 26349 "culminate", 26350 "cultivate", 26351 "culture", 26352 "cup", 26353 "curate", 26354 "curb", 26355 "curdle", 26356 "cure", 26357 "curl", 26358 "curry", 26359 "curse", 26360 "curtail", 26361 "curtain", 26362 "curtsy", 26363 "curve", 26364 "cushion", 26365 "cuss", 26366 "customise", 26367 "customize", 26368 "cut", 26369 "cwtch", 26370 "cycle", 26371 "dab", 26372 "dabble", 26373 "dally", 26374 "dam", 26375 "damage", 26376 "dammit", 26377 "damn", 26378 "damp", 26379 "dampen", 26380 "dance", 26381 "dandle", 26382 "dangle", 26383 "dare", 26384 "darken", 26385 "darn", 26386 "dart", 26387 "dash", 26388 "date", 26389 "daub", 26390 "daunt", 26391 "dawdle", 26392 "dawn", 26393 "daydream", 26394 "dazzle", 26395 "deactivate", 26396 "deaden", 26397 "deadhead", 26398 "deafen", 26399 "deal", 26400 "debar", 26401 "debase", 26402 "debate", 26403 "debilitate", 26404 "debit", 26405 "debrief", 26406 "debug", 26407 "debunk", 26408 "debut", 26409 "decamp", 26410 "decant", 26411 "decapitate", 26412 "decay", 26413 "deceive", 26414 "decelerate", 26415 "decentralise", 26416 "decentralize", 26417 "decide", 26418 "decimalise", 26419 "decimalize", 26420 "decimate", 26421 "decipher", 26422 "deck", 26423 "declaim", 26424 "declare", 26425 "declassify", 26426 "decline", 26427 "declutter", 26428 "decode", 26429 "decommission", 26430 "decompose", 26431 "decompress", 26432 "deconsecrate", 26433 "deconstruct", 26434 "decontaminate", 26435 "decontrol", 26436 "decorate", 26437 "decouple", 26438 "decoy", 26439 "decrease", 26440 "decree", 26441 "decriminalise", 26442 "decriminalize", 26443 "decry", 26444 "decrypt", 26445 "dedicate", 26446 "deduce", 26447 "deduct", 26448 "deejay", 26449 "deem", 26450 "deepen", 26451 "deface", 26452 "defame", 26453 "default", 26454 "defeat", 26455 "defecate", 26456 "defect", 26457 "defend", 26458 "defer", 26459 "defile", 26460 "define", 26461 "deflate", 26462 "deflect", 26463 "deflower", 26464 "defog", 26465 "defoliate", 26466 "deforest", 26467 "deform", 26468 "defrag", 26469 "defragment", 26470 "defraud", 26471 "defray", 26472 "defrock", 26473 "defrost", 26474 "defuse", 26475 "defy", 26476 "degenerate", 26477 "deglaze", 26478 "degrade", 26479 "degrease", 26480 "dehumanise", 26481 "dehumanize", 26482 "dehydrate", 26483 "deify", 26484 "deign", 26485 "delay", 26486 "delegate", 26487 "delete", 26488 "deliberate", 26489 "delight", 26490 "delimit", 26491 "delineate", 26492 "deliquesce", 26493 "deliver", 26494 "delouse", 26495 "delude", 26496 "deluge", 26497 "delve", 26498 "demand", 26499 "demarcate", 26500 "demean", 26501 "demerge", 26502 "demilitarise", 26503 "demilitarize", 26504 "demineralise", 26505 "demineralize", 26506 "demist", 26507 "demo", 26508 "demob", 26509 "demobilise", 26510 "demobilize", 26511 "democratise", 26512 "democratize", 26513 "demolish", 26514 "demonise", 26515 "demonize", 26516 "demonstrate", 26517 "demoralise", 26518 "demoralize", 26519 "demote", 26520 "demotivate", 26521 "demur", 26522 "demystify", 26523 "denationalise", 26524 "denationalize", 26525 "denigrate", 26526 "denitrify", 26527 "denominate", 26528 "denote", 26529 "denounce", 26530 "dent", 26531 "denude", 26532 "deny", 26533 "depart", 26534 "depend", 26535 "depersonalise", 26536 "depersonalize", 26537 "depict", 26538 "deplane", 26539 "deplete", 26540 "deplore", 26541 "deploy", 26542 "depopulate", 26543 "deport", 26544 "depose", 26545 "deposit", 26546 "deprave", 26547 "deprecate", 26548 "depreciate", 26549 "depress", 26550 "depressurise", 26551 "depressurize", 26552 "deprive", 26553 "depute", 26554 "deputise", 26555 "deputize", 26556 "deracinate", 26557 "derail", 26558 "dereference", 26559 "deregulate", 26560 "deride", 26561 "derive", 26562 "derogate", 26563 "descale", 26564 "descend", 26565 "describe", 26566 "descry", 26567 "desecrate", 26568 "desegregate", 26569 "deselect", 26570 "desensitise", 26571 "desensitize", 26572 "desert", 26573 "deserve", 26574 "design", 26575 "designate", 26576 "desire", 26577 "desist", 26578 "deskill", 26579 "desolate", 26580 "despair", 26581 "despise", 26582 "despoil", 26583 "destabilise", 26584 "destabilize", 26585 "destock", 26586 "destroy", 26587 "detach", 26588 "detail", 26589 "detain", 26590 "detect", 26591 "deter", 26592 "deteriorate", 26593 "determine", 26594 "detest", 26595 "dethrone", 26596 "detonate", 26597 "detour", 26598 "detoxify", 26599 "detract", 26600 "detrain", 26601 "devalue", 26602 "devastate", 26603 "develop", 26604 "deviate", 26605 "devise", 26606 "devoice", 26607 "devolve", 26608 "devote", 26609 "devour", 26610 "diagnose", 26611 "dial", 26612 "dice", 26613 "dicker", 26614 "dictate", 26615 "diddle", 26616 "die", 26617 "diet", 26618 "differ", 26619 "differentiate", 26620 "diffract", 26621 "diffuse", 26622 "dig", 26623 "digest", 26624 "digitalise", 26625 "digitalize", 26626 "digitise", 26627 "digitize", 26628 "dignify", 26629 "digress", 26630 "dilate", 26631 "dilute", 26632 "diluted", 26633 "dim", 26634 "diminish", 26635 "dimple", 26636 "dine", 26637 "ding", 26638 "dink", 26639 "dip", 26640 "diphthongise", 26641 "diphthongize", 26642 "direct", 26643 "dirty", 26644 "dis", 26645 "disable", 26646 "disabuse", 26647 "disadvantage", 26648 "disaffiliate", 26649 "disafforest", 26650 "disagree", 26651 "disallow", 26652 "disambiguate", 26653 "disappear", 26654 "disappoint", 26655 "disapprove", 26656 "disarm", 26657 "disarrange", 26658 "disassemble", 26659 "disassociate", 26660 "disavow", 26661 "disband", 26662 "disbar", 26663 "disbelieve", 26664 "disburse", 26665 "discard", 26666 "discern", 26667 "discharge", 26668 "discipline", 26669 "disclaim", 26670 "disclose", 26671 "discolor", 26672 "discolour", 26673 "discomfit", 26674 "discomfort", 26675 "discompose", 26676 "disconcert", 26677 "disconnect", 26678 "discontinue", 26679 "discount", 26680 "discourage", 26681 "discourse", 26682 "discover", 26683 "discredit", 26684 "discriminate", 26685 "discuss", 26686 "disdain", 26687 "disembark", 26688 "disembowel", 26689 "disenfranchise", 26690 "disengage", 26691 "disentangle", 26692 "disestablish", 26693 "disfigure", 26694 "disgorge", 26695 "disgrace", 26696 "disguise", 26697 "disgust", 26698 "dish", 26699 "dishearten", 26700 "dishonor", 26701 "dishonour", 26702 "disillusion", 26703 "disincentivise", 26704 "disincentivize", 26705 "disinfect", 26706 "disinherit", 26707 "disinhibit", 26708 "disintegrate", 26709 "disinter", 26710 "disinvest", 26711 "dislike", 26712 "dislocate", 26713 "dislodge", 26714 "dismantle", 26715 "dismay", 26716 "dismember", 26717 "dismiss", 26718 "dismount", 26719 "disobey", 26720 "disorient", 26721 "disorientate", 26722 "disown", 26723 "disparage", 26724 "dispatch", 26725 "dispel", 26726 "dispense", 26727 "disperse", 26728 "displace", 26729 "display", 26730 "displease", 26731 "disport", 26732 "dispose", 26733 "dispossess", 26734 "disprove", 26735 "dispute", 26736 "disqualify", 26737 "disregard", 26738 "disrespect", 26739 "disrobe", 26740 "disrupt", 26741 "dissect", 26742 "dissemble", 26743 "disseminate", 26744 "dissent", 26745 "dissimulate", 26746 "dissipate", 26747 "dissociate", 26748 "dissolve", 26749 "dissuade", 26750 "distance", 26751 "distend", 26752 "distil", 26753 "distill", 26754 "distinguish", 26755 "distort", 26756 "distract", 26757 "distress", 26758 "distribute", 26759 "distrust", 26760 "disturb", 26761 "disunite", 26762 "ditch", 26763 "dither", 26764 "dive", 26765 "diverge", 26766 "diversify", 26767 "divert", 26768 "divest", 26769 "divide", 26770 "divine", 26771 "divorce", 26772 "divulge", 26773 "divvy", 26774 "do", 26775 "dob", 26776 "dock", 26777 "doctor", 26778 "document", 26779 "dodge", 26780 "doff", 26781 "dog", 26782 "dole", 26783 "doll", 26784 "dollarise", 26785 "dollarize", 26786 "domesticate", 26787 "dominate", 26788 "don", 26789 "donate", 26790 "doodle", 26791 "doom", 26792 "doorstep", 26793 "dop", 26794 "dope", 26795 "dose", 26796 "doss", 26797 "dot", 26798 "dote", 26799 "double", 26800 "doubt", 26801 "douche", 26802 "douse", 26803 "dovetail", 26804 "down", 26805 "downchange", 26806 "downgrade", 26807 "downlink", 26808 "download", 26809 "downplay", 26810 "downshift", 26811 "downsize", 26812 "dowse", 26813 "doze", 26814 "draft", 26815 "drag", 26816 "dragoon", 26817 "drain", 26818 "dramatise", 26819 "dramatize", 26820 "drape", 26821 "draught", 26822 "draw", 26823 "drawl", 26824 "dread", 26825 "dream", 26826 "dredge", 26827 "drench", 26828 "dress", 26829 "dribble", 26830 "drift", 26831 "drill", 26832 "drink", 26833 "drip", 26834 "drive", 26835 "drivel", 26836 "drizzle", 26837 "drone", 26838 "drool", 26839 "droop", 26840 "drop", 26841 "drown", 26842 "drowse", 26843 "drug", 26844 "drum", 26845 "dry", 26846 "dub", 26847 "duck", 26848 "duckie", 26849 "ducks", 26850 "duel", 26851 "duff", 26852 "dull", 26853 "dumb", 26854 "dumbfound", 26855 "dummy", 26856 "dump", 26857 "dunk", 26858 "dunt", 26859 "dupe", 26860 "duplicate", 26861 "dust", 26862 "dwarf", 26863 "dwell", 26864 "dwindle", 26865 "dye", 26866 "dynamite", 26867 "earmark", 26868 "earn", 26869 "earth", 26870 "ease", 26871 "eat", 26872 "eavesdrop", 26873 "ebb", 26874 "echo", 26875 "eclipse", 26876 "economise", 26877 "economize", 26878 "eddy", 26879 "edge", 26880 "edify", 26881 "edit", 26882 "editorialise", 26883 "editorialize", 26884 "educate", 26885 "eff", 26886 "efface", 26887 "effect", 26888 "effectuate", 26889 "egg", 26890 "ejaculate", 26891 "eject", 26892 "eke", 26893 "elaborate", 26894 "elapse", 26895 "elbow", 26896 "elect", 26897 "electrify", 26898 "electrocute", 26899 "electroplate", 26900 "elevate", 26901 "elicit", 26902 "elide", 26903 "eliminate", 26904 "elongate", 26905 "elope", 26906 "elucidate", 26907 "elude", 26908 "email", 26909 "emanate", 26910 "emancipate", 26911 "emasculate", 26912 "embalm", 26913 "embargo", 26914 "embark", 26915 "embarrass", 26916 "embed", 26917 "embellish", 26918 "embezzle", 26919 "embitter", 26920 "emblazon", 26921 "embody", 26922 "embolden", 26923 "emboss", 26924 "embrace", 26925 "embroider", 26926 "embroil", 26927 "emcee", 26928 "emend", 26929 "emerge", 26930 "emigrate", 26931 "emit", 26932 "emote", 26933 "empathise", 26934 "empathize", 26935 "emphasise", 26936 "emphasize", 26937 "employ", 26938 "empower", 26939 "empty", 26940 "emulate", 26941 "emulsify", 26942 "enable", 26943 "enact", 26944 "encamp", 26945 "encapsulate", 26946 "encase", 26947 "encash", 26948 "enchant", 26949 "encircle", 26950 "enclose", 26951 "encode", 26952 "encompass", 26953 "encounter", 26954 "encourage", 26955 "encroach", 26956 "encrypt", 26957 "encumber", 26958 "end", 26959 "endanger", 26960 "endear", 26961 "endeavor", 26962 "endeavour", 26963 "endorse", 26964 "endow", 26965 "endure", 26966 "energise", 26967 "energize", 26968 "enervate", 26969 "enfeeble", 26970 "enfold", 26971 "enforce", 26972 "enfranchise", 26973 "engage", 26974 "engender", 26975 "engineer", 26976 "engorge", 26977 "engrave", 26978 "engross", 26979 "engulf", 26980 "enhance", 26981 "enjoin", 26982 "enjoy", 26983 "enlarge", 26984 "enlighten", 26985 "enlist", 26986 "enliven", 26987 "enmesh", 26988 "ennoble", 26989 "enquire", 26990 "enrage", 26991 "enrapture", 26992 "enrich", 26993 "enrol", 26994 "enroll", 26995 "ensconce", 26996 "enshrine", 26997 "enshroud", 26998 "enslave", 26999 "ensnare", 27000 "ensue", 27001 "ensure", 27002 "entail", 27003 "entangle", 27004 "enter", 27005 "entertain", 27006 "enthral", 27007 "enthrall", 27008 "enthrone", 27009 "enthuse", 27010 "entice", 27011 "entitle", 27012 "entomb", 27013 "entrance", 27014 "entrap", 27015 "entreat", 27016 "entrench", 27017 "entrust", 27018 "entwine", 27019 "enumerate", 27020 "enunciate", 27021 "envelop", 27022 "envisage", 27023 "envision", 27024 "envy", 27025 "epitomise", 27026 "epitomize", 27027 "equal", 27028 "equalise", 27029 "equalize", 27030 "equate", 27031 "equip", 27032 "equivocate", 27033 "eradicate", 27034 "erase", 27035 "erect", 27036 "erode", 27037 "err", 27038 "erupt", 27039 "escalate", 27040 "escape", 27041 "eschew", 27042 "escort", 27043 "espouse", 27044 "espy", 27045 "essay", 27046 "establish", 27047 "esteem", 27048 "estimate", 27049 "etch", 27050 "eulogise", 27051 "eulogize", 27052 "euthanise", 27053 "euthanize", 27054 "evacuate", 27055 "evade", 27056 "evaluate", 27057 "evangelise", 27058 "evangelize", 27059 "evaporate", 27060 "even", 27061 "eventuate", 27062 "evict", 27063 "evidence", 27064 "evince", 27065 "eviscerate", 27066 "evoke", 27067 "evolve", 27068 "exacerbate", 27069 "exact", 27070 "exaggerate", 27071 "exalt", 27072 "examine", 27073 "exasperate", 27074 "excavate", 27075 "exceed", 27076 "excel", 27077 "except", 27078 "excerpt", 27079 "exchange", 27080 "excise", 27081 "excite", 27082 "exclaim", 27083 "exclude", 27084 "excommunicate", 27085 "excoriate", 27086 "excrete", 27087 "exculpate", 27088 "excuse", 27089 "execute", 27090 "exemplify", 27091 "exempt", 27092 "exercise", 27093 "exert", 27094 "exeunt", 27095 "exfoliate", 27096 "exhale", 27097 "exhaust", 27098 "exhibit", 27099 "exhilarate", 27100 "exhort", 27101 "exhume", 27102 "exile", 27103 "exist", 27104 "exit", 27105 "exonerate", 27106 "exorcise", 27107 "exorcize", 27108 "expand", 27109 "expatiate", 27110 "expect", 27111 "expectorate", 27112 "expedite", 27113 "expel", 27114 "expend", 27115 "experience", 27116 "experiment", 27117 "expiate", 27118 "expire", 27119 "explain", 27120 "explicate", 27121 "explode", 27122 "exploit", 27123 "explore", 27124 "export", 27125 "expose", 27126 "expostulate", 27127 "expound", 27128 "express", 27129 "expropriate", 27130 "expunge", 27131 "expurgate", 27132 "extemporise", 27133 "extemporize", 27134 "extend", 27135 "exterminate", 27136 "externalise", 27137 "externalize", 27138 "extinguish", 27139 "extirpate", 27140 "extol", 27141 "extort", 27142 "extract", 27143 "extradite", 27144 "extrapolate", 27145 "extricate", 27146 "extrude", 27147 "exude", 27148 "exult", 27149 "eye", 27150 "eyeball", 27151 "eyeglasses", 27152 "fabricate", 27153 "face", 27154 "facilitate", 27155 "factor", 27156 "factorise", 27157 "factorize", 27158 "fade", 27159 "faff", 27160 "fail", 27161 "faint", 27162 "fake", 27163 "fall", 27164 "falsify", 27165 "falter", 27166 "familiarise", 27167 "familiarize", 27168 "fan", 27169 "fancy", 27170 "fantasise", 27171 "fantasize", 27172 "fare", 27173 "farewell", 27174 "farm", 27175 "farrow", 27176 "fart", 27177 "fascinate", 27178 "fashion", 27179 "fast", 27180 "fasten", 27181 "father", 27182 "fathom", 27183 "fatten", 27184 "fault", 27185 "favor", 27186 "favour", 27187 "fawn", 27188 "fax", 27189 "faze", 27190 "fear", 27191 "feast", 27192 "feather", 27193 "feature", 27194 "federate", 27195 "feed", 27196 "feel", 27197 "feign", 27198 "feint", 27199 "fell", 27200 "fellate", 27201 "feminise", 27202 "feminize", 27203 "fence", 27204 "fend", 27205 "ferment", 27206 "ferret", 27207 "ferry", 27208 "fertilise", 27209 "fertilize", 27210 "fess", 27211 "fester", 27212 "festoon", 27213 "fetch", 27214 "fete", 27215 "fetishise", 27216 "fetishize", 27217 "fetter", 27218 "feud", 27219 "fib", 27220 "fictionalise", 27221 "fictionalize", 27222 "fiddle", 27223 "fidget", 27224 "field", 27225 "fight", 27226 "figure", 27227 "filch", 27228 "file", 27229 "filibuster", 27230 "fill", 27231 "fillet", 27232 "film", 27233 "filter", 27234 "finagle", 27235 "finalise", 27236 "finalize", 27237 "finance", 27238 "find", 27239 "fine", 27240 "finesse", 27241 "finger", 27242 "fingerprint", 27243 "finish", 27244 "fire", 27245 "firebomb", 27246 "firm", 27247 "fish", 27248 "fishtail", 27249 "fit", 27250 "fix", 27251 "fizz", 27252 "fizzle", 27253 "flag", 27254 "flagellate", 27255 "flail", 27256 "flake", 27257 "flame", 27258 "flank", 27259 "flap", 27260 "flare", 27261 "flash", 27262 "flat", 27263 "flatline", 27264 "flatten", 27265 "flatter", 27266 "flaunt", 27267 "flavour", 27268 "flay", 27269 "fleck", 27270 "flee", 27271 "fleece", 27272 "flesh", 27273 "flex", 27274 "flick", 27275 "flicker", 27276 "flight", 27277 "flinch", 27278 "fling", 27279 "flip", 27280 "flirt", 27281 "flit", 27282 "float", 27283 "flock", 27284 "flog", 27285 "flood", 27286 "floodlight", 27287 "floor", 27288 "flop", 27289 "floss", 27290 "flounce", 27291 "flounder", 27292 "flour", 27293 "flourish", 27294 "flout", 27295 "flow", 27296 "flower", 27297 "flub", 27298 "fluctuate", 27299 "fluff", 27300 "flummox", 27301 "flunk", 27302 "flush", 27303 "fluster", 27304 "flutter", 27305 "fly", 27306 "foal", 27307 "foam", 27308 "fob", 27309 "focalise", 27310 "focalize", 27311 "focus", 27312 "fog", 27313 "foil", 27314 "foist", 27315 "fold", 27316 "follow", 27317 "foment", 27318 "fondle", 27319 "fool", 27320 "foot", 27321 "forage", 27322 "forbear", 27323 "forbid", 27324 "force", 27325 "ford", 27326 "forearm", 27327 "forecast", 27328 "foreclose", 27329 "foregather", 27330 "foreground", 27331 "foresee", 27332 "foreshadow", 27333 "foreshorten", 27334 "forestall", 27335 "foretell", 27336 "forewarn", 27337 "forfeit", 27338 "forfend", 27339 "forgather", 27340 "forge", 27341 "forget", 27342 "forgive", 27343 "forgo", 27344 "fork", 27345 "form", 27346 "formalise", 27347 "formalize", 27348 "format", 27349 "formulate", 27350 "fornicate", 27351 "forsake", 27352 "forswear", 27353 "fortify", 27354 "forward", 27355 "forwards", 27356 "fossick", 27357 "fossilise", 27358 "fossilize", 27359 "foster", 27360 "foul", 27361 "found", 27362 "founder", 27363 "fox", 27364 "fracture", 27365 "fragment", 27366 "frame", 27367 "franchise", 27368 "frank", 27369 "fraternise", 27370 "fraternize", 27371 "fray", 27372 "freak", 27373 "free", 27374 "freelance", 27375 "freeload", 27376 "freestyle", 27377 "freewheel", 27378 "freeze", 27379 "freight", 27380 "frequent", 27381 "freshen", 27382 "fret", 27383 "frighten", 27384 "fringe", 27385 "frisk", 27386 "fritter", 27387 "frizz", 27388 "frizzle", 27389 "frogmarch", 27390 "frolic", 27391 "front", 27392 "frost", 27393 "froth", 27394 "frown", 27395 "fruit", 27396 "frustrate", 27397 "fry", 27398 "fuck", 27399 "fudge", 27400 "fuel", 27401 "fulfil", 27402 "fulfill", 27403 "fulminate", 27404 "fumble", 27405 "fume", 27406 "fumigate", 27407 "function", 27408 "fund", 27409 "funk", 27410 "funnel", 27411 "furl", 27412 "furlough", 27413 "furnish", 27414 "furrow", 27415 "further", 27416 "fuse", 27417 "fuss", 27418 "gab", 27419 "gabble", 27420 "gad", 27421 "gag", 27422 "gain", 27423 "gainsay", 27424 "gall", 27425 "gallivant", 27426 "gallop", 27427 "galumph", 27428 "galvanise", 27429 "galvanize", 27430 "gamble", 27431 "gambol", 27432 "gang", 27433 "gape", 27434 "garage", 27435 "garden", 27436 "gargle", 27437 "garland", 27438 "garner", 27439 "garnish", 27440 "garrison", 27441 "garrote", 27442 "garrotte", 27443 "gas", 27444 "gash", 27445 "gasp", 27446 "gatecrash", 27447 "gather", 27448 "gauge", 27449 "gawk", 27450 "gawp", 27451 "gaze", 27452 "gazump", 27453 "gazunder", 27454 "gear", 27455 "gee", 27456 "gel", 27457 "geld", 27458 "gen", 27459 "generalise", 27460 "generalize", 27461 "generate", 27462 "gentrify", 27463 "genuflect", 27464 "germinate", 27465 "gerrymander", 27466 "gestate", 27467 "gesticulate", 27468 "gesture", 27469 "get", 27470 "ghost", 27471 "ghostwrite", 27472 "gibber", 27473 "gift", 27474 "giggle", 27475 "gild", 27476 "ginger", 27477 "gird", 27478 "girdle", 27479 "give", 27480 "gladden", 27481 "glamorise", 27482 "glamorize", 27483 "glance", 27484 "glare", 27485 "glass", 27486 "glaze", 27487 "gleam", 27488 "glean", 27489 "glide", 27490 "glimmer", 27491 "glimmering", 27492 "glimpse", 27493 "glint", 27494 "glisten", 27495 "glister", 27496 "glitter", 27497 "gloat", 27498 "globalise", 27499 "globalize", 27500 "glom", 27501 "glorify", 27502 "glory", 27503 "gloss", 27504 "glow", 27505 "glower", 27506 "glue", 27507 "glug", 27508 "glut", 27509 "gnash", 27510 "gnaw", 27511 "go", 27512 "goad", 27513 "gob", 27514 "gobble", 27515 "goggle", 27516 "goldbrick", 27517 "goof", 27518 "google", 27519 "goose", 27520 "gore", 27521 "gorge", 27522 "gossip", 27523 "gouge", 27524 "govern", 27525 "grab", 27526 "grace", 27527 "grade", 27528 "graduate", 27529 "graft", 27530 "grant", 27531 "grapple", 27532 "grasp", 27533 "grass", 27534 "grate", 27535 "gratify", 27536 "gravitate", 27537 "graze", 27538 "grease", 27539 "green", 27540 "greet", 27541 "grey", 27542 "grieve", 27543 "grill", 27544 "grimace", 27545 "grin", 27546 "grind", 27547 "grip", 27548 "gripe", 27549 "grit", 27550 "grizzle", 27551 "groan", 27552 "grok", 27553 "groom", 27554 "grope", 27555 "gross", 27556 "grouch", 27557 "ground", 27558 "group", 27559 "grouse", 27560 "grout", 27561 "grovel", 27562 "grow", 27563 "growl", 27564 "grub", 27565 "grudge", 27566 "grumble", 27567 "grunt", 27568 "guarantee", 27569 "guard", 27570 "guess", 27571 "guest", 27572 "guffaw", 27573 "guide", 27574 "guillotine", 27575 "guilt", 27576 "gulp", 27577 "gum", 27578 "gun", 27579 "gurgle", 27580 "gurn", 27581 "gush", 27582 "gussy", 27583 "gust", 27584 "gut", 27585 "gutter", 27586 "guzzle", 27587 "gybe", 27588 "gyp", 27589 "gyrate", 27590 "hack", 27591 "haemorrhage", 27592 "haggle", 27593 "hail", 27594 "hallmark", 27595 "halloo", 27596 "hallucinate", 27597 "halt", 27598 "halve", 27599 "ham", 27600 "hammer", 27601 "hamper", 27602 "hamstring", 27603 "hand", 27604 "handcuff", 27605 "handicap", 27606 "handle", 27607 "hang", 27608 "hanker", 27609 "happen", 27610 "harangue", 27611 "harass", 27612 "harbor", 27613 "harbour", 27614 "harden", 27615 "hare", 27616 "hark", 27617 "harm", 27618 "harmonise", 27619 "harmonize", 27620 "harness", 27621 "harp", 27622 "harpoon", 27623 "harrow", 27624 "harrumph", 27625 "harry", 27626 "harvest", 27627 "hash", 27628 "hassle", 27629 "hasten", 27630 "hatch", 27631 "hate", 27632 "haul", 27633 "haunt", 27634 "have", 27635 "haw", 27636 "hawk", 27637 "hazard", 27638 "haze", 27639 "head", 27640 "headbutt", 27641 "headhunt", 27642 "headline", 27643 "heal", 27644 "heap", 27645 "hear", 27646 "hearken", 27647 "hearten", 27648 "heat", 27649 "heave", 27650 "heckle", 27651 "hector", 27652 "hedge", 27653 "heed", 27654 "heel", 27655 "heft", 27656 "heighten", 27657 "heist", 27658 "help", 27659 "hem", 27660 "hemorrhage", 27661 "herald", 27662 "herd", 27663 "hesitate", 27664 "hew", 27665 "hex", 27666 "hibernate", 27667 "hiccough", 27668 "hiccup", 27669 "hide", 27670 "hie", 27671 "highball", 27672 "highlight", 27673 "hightail", 27674 "hijack", 27675 "hike", 27676 "hinder", 27677 "hinge", 27678 "hint", 27679 "hire", 27680 "hiss", 27681 "hit", 27682 "hitch", 27683 "hitchhike", 27684 "hive", 27685 "hoard", 27686 "hoax", 27687 "hobble", 27688 "hobnob", 27689 "hock", 27690 "hoe", 27691 "hog", 27692 "hoick", 27693 "hoist", 27694 "hold", 27695 "hole", 27696 "holiday", 27697 "holler", 27698 "hollow", 27699 "holster", 27700 "home", 27701 "homeschool", 27702 "homestead", 27703 "hone", 27704 "honeymoon", 27705 "honk", 27706 "honour", 27707 "hoodwink", 27708 "hoof", 27709 "hook", 27710 "hoon", 27711 "hoot", 27712 "hoover", 27713 "hop", 27714 "hope", 27715 "horn", 27716 "horrify", 27717 "horse", 27718 "horsewhip", 27719 "hose", 27720 "hosepipe", 27721 "hospitalise", 27722 "hospitalize", 27723 "host", 27724 "hot", 27725 "hotfoot", 27726 "hound", 27727 "house", 27728 "hover", 27729 "howl", 27730 "huddle", 27731 "huff", 27732 "hug", 27733 "hull", 27734 "hum", 27735 "humanise", 27736 "humanize", 27737 "humble", 27738 "humiliate", 27739 "humour", 27740 "hump", 27741 "hunch", 27742 "hunger", 27743 "hunker", 27744 "hunt", 27745 "hurdle", 27746 "hurl", 27747 "hurry", 27748 "hurt", 27749 "hurtle", 27750 "husband", 27751 "hush", 27752 "husk", 27753 "hustle", 27754 "hybridise", 27755 "hybridize", 27756 "hydrate", 27757 "hydroplane", 27758 "hype", 27759 "hyperventilate", 27760 "hyphenate", 27761 "hypnotise", 27762 "hypnotize", 27763 "hypothesise", 27764 "hypothesize", 27765 "ice", 27766 "iconify", 27767 "idealise", 27768 "idealize", 27769 "ideate", 27770 "identify", 27771 "idle", 27772 "idolise", 27773 "idolize", 27774 "ignite", 27775 "ignore", 27776 "illuminate", 27777 "illumine", 27778 "illustrate", 27779 "imagine", 27780 "imagineer", 27781 "imbibe", 27782 "imbue", 27783 "imitate", 27784 "immerse", 27785 "immigrate", 27786 "immobilise", 27787 "immobilize", 27788 "immolate", 27789 "immortalise", 27790 "immortalize", 27791 "immunise", 27792 "immunize", 27793 "immure", 27794 "impact", 27795 "impair", 27796 "impale", 27797 "impanel", 27798 "impart", 27799 "impeach", 27800 "impede", 27801 "impel", 27802 "imperil", 27803 "impersonate", 27804 "impinge", 27805 "implant", 27806 "implement", 27807 "implicate", 27808 "implode", 27809 "implore", 27810 "imply", 27811 "import", 27812 "importune", 27813 "impose", 27814 "impound", 27815 "impoverish", 27816 "impregnate", 27817 "impress", 27818 "imprint", 27819 "imprison", 27820 "improve", 27821 "improvise", 27822 "impugn", 27823 "inactivate", 27824 "inaugurate", 27825 "incapacitate", 27826 "incarcerate", 27827 "incarnate", 27828 "incense", 27829 "incentivise", 27830 "incentivize", 27831 "inch", 27832 "incinerate", 27833 "incise", 27834 "incite", 27835 "incline", 27836 "include", 27837 "incommode", 27838 "inconvenience", 27839 "incorporate", 27840 "increase", 27841 "incriminate", 27842 "incubate", 27843 "inculcate", 27844 "incur", 27845 "indemnify", 27846 "indent", 27847 "index", 27848 "indicate", 27849 "indict", 27850 "individualise", 27851 "individualize", 27852 "individuate", 27853 "indoctrinate", 27854 "induce", 27855 "induct", 27856 "indulge", 27857 "industrialise", 27858 "industrialize", 27859 "infantilise", 27860 "infantilize", 27861 "infect", 27862 "infer", 27863 "infest", 27864 "infill", 27865 "infiltrate", 27866 "inflame", 27867 "inflate", 27868 "inflect", 27869 "inflict", 27870 "influence", 27871 "inform", 27872 "infringe", 27873 "infuriate", 27874 "infuse", 27875 "ingest", 27876 "ingratiate", 27877 "inhabit", 27878 "inhale", 27879 "inhere", 27880 "inherit", 27881 "inhibit", 27882 "initial", 27883 "initialise", 27884 "initialize", 27885 "initiate", 27886 "inject", 27887 "injure", 27888 "ink", 27889 "inlay", 27890 "innovate", 27891 "inoculate", 27892 "input", 27893 "inscribe", 27894 "inseminate", 27895 "insert", 27896 "inset", 27897 "insinuate", 27898 "insist", 27899 "inspect", 27900 "inspire", 27901 "install", 27902 "instance", 27903 "instigate", 27904 "instil", 27905 "instill", 27906 "institute", 27907 "institutionalise", 27908 "institutionalize", 27909 "instruct", 27910 "insulate", 27911 "insult", 27912 "insure", 27913 "integrate", 27914 "intend", 27915 "intensify", 27916 "inter", 27917 "interact", 27918 "interbreed", 27919 "intercede", 27920 "intercept", 27921 "interchange", 27922 "interconnect", 27923 "intercut", 27924 "interest", 27925 "interface", 27926 "interfere", 27927 "interject", 27928 "interlace", 27929 "interleave", 27930 "interlink", 27931 "interlock", 27932 "intermarry", 27933 "intermesh", 27934 "intermingle", 27935 "intermix", 27936 "intern", 27937 "internalise", 27938 "internalize", 27939 "internationalise", 27940 "internationalize", 27941 "interpenetrate", 27942 "interpolate", 27943 "interpose", 27944 "interpret", 27945 "interrelate", 27946 "interrogate", 27947 "interrupt", 27948 "intersect", 27949 "intersperse", 27950 "intertwine", 27951 "intervene", 27952 "interview", 27953 "interweave", 27954 "interwork", 27955 "intimate", 27956 "intimidate", 27957 "intone", 27958 "intoxicate", 27959 "intrigue", 27960 "introduce", 27961 "intrude", 27962 "intubate", 27963 "intuit", 27964 "inundate", 27965 "inure", 27966 "invade", 27967 "invalid", 27968 "invalidate", 27969 "inveigh", 27970 "inveigle", 27971 "invent", 27972 "inventory", 27973 "invert", 27974 "invest", 27975 "investigate", 27976 "invigilate", 27977 "invigorate", 27978 "invite", 27979 "invoice", 27980 "invoke", 27981 "involve", 27982 "ionise", 27983 "ionize", 27984 "irk", 27985 "iron", 27986 "irradiate", 27987 "irrigate", 27988 "irritate", 27989 "irrupt", 27990 "isolate", 27991 "issue", 27992 "italicise", 27993 "italicize", 27994 "itch", 27995 "itemise", 27996 "itemize", 27997 "iterate", 27998 "jab", 27999 "jabber", 28000 "jack", 28001 "jackknife", 28002 "jail", 28003 "jam", 28004 "jangle", 28005 "jar", 28006 "jaw", 28007 "jaywalk", 28008 "jazz", 28009 "jeer", 28010 "jell", 28011 "jeopardise", 28012 "jeopardize", 28013 "jerk", 28014 "jest", 28015 "jet", 28016 "jettison", 28017 "jib", 28018 "jibe", 28019 "jig", 28020 "jiggle", 28021 "jilt", 28022 "jingle", 28023 "jink", 28024 "jinx", 28025 "jive", 28026 "jockey", 28027 "jog", 28028 "joggle", 28029 "join", 28030 "joint", 28031 "joke", 28032 "jol", 28033 "jolly", 28034 "jolt", 28035 "josh", 28036 "jostle", 28037 "jot", 28038 "journey", 28039 "joust", 28040 "judder", 28041 "judge", 28042 "juggle", 28043 "juice", 28044 "jumble", 28045 "jump", 28046 "junk", 28047 "justify", 28048 "jut", 28049 "juxtapose", 28050 "keel", 28051 "keelhaul", 28052 "keen", 28053 "keep", 28054 "ken", 28055 "key", 28056 "keyboard", 28057 "kibitz", 28058 "kick", 28059 "kid", 28060 "kidnap", 28061 "kill", 28062 "kindle", 28063 "kink", 28064 "kip", 28065 "kiss", 28066 "kit", 28067 "kite", 28068 "klap", 28069 "kludge", 28070 "knacker", 28071 "knead", 28072 "knee", 28073 "kneecap", 28074 "kneel", 28075 "knife", 28076 "knight", 28077 "knit", 28078 "knock", 28079 "knot", 28080 "know", 28081 "knuckle", 28082 "kowtow", 28083 "kvetch", 28084 "label", 28085 "labour", 28086 "lace", 28087 "lacerate", 28088 "lack", 28089 "lacquer", 28090 "lactate", 28091 "ladder", 28092 "ladle", 28093 "lag", 28094 "lam", 28095 "lamb", 28096 "lambast", 28097 "lambaste", 28098 "lament", 28099 "lamp", 28100 "lampoon", 28101 "lance", 28102 "land", 28103 "lands", 28104 "landscape", 28105 "languish", 28106 "lap", 28107 "lapse", 28108 "lard", 28109 "large", 28110 "lark", 28111 "lash", 28112 "lasso", 28113 "last", 28114 "latch", 28115 "lather", 28116 "laud", 28117 "laugh", 28118 "launch", 28119 "launder", 28120 "lavish", 28121 "lay", 28122 "layer", 28123 "laze", 28124 "leach", 28125 "lead", 28126 "leaf", 28127 "leaflet", 28128 "leak", 28129 "lean", 28130 "leap", 28131 "leapfrog", 28132 "learn", 28133 "lease", 28134 "leash", 28135 "leave", 28136 "leaven", 28137 "lech", 28138 "lecture", 28139 "leer", 28140 "leg", 28141 "legalise", 28142 "legalize", 28143 "legislate", 28144 "legitimise", 28145 "legitimize", 28146 "lend", 28147 "lengthen", 28148 "lessen", 28149 "let", 28150 "letter", 28151 "letterbox", 28152 "level", 28153 "lever", 28154 "leverage", 28155 "levitate", 28156 "levy", 28157 "liaise", 28158 "libel", 28159 "liberalise", 28160 "liberalize", 28161 "liberate", 28162 "license", 28163 "lick", 28164 "lie", 28165 "lift", 28166 "ligate", 28167 "light", 28168 "lighten", 28169 "like", 28170 "liken", 28171 "limber", 28172 "lime", 28173 "limit", 28174 "limp", 28175 "line", 28176 "linger", 28177 "link", 28178 "lionise", 28179 "lionize", 28180 "liquefy", 28181 "liquidate", 28182 "liquidise", 28183 "liquidize", 28184 "lisp", 28185 "list", 28186 "listen", 28187 "litigate", 28188 "litter", 28189 "live", 28190 "liven", 28191 "load", 28192 "loads", 28193 "loaf", 28194 "loan", 28195 "loathe", 28196 "lob", 28197 "lobby", 28198 "lobotomise", 28199 "lobotomize", 28200 "localise", 28201 "localize", 28202 "locate", 28203 "lock", 28204 "lodge", 28205 "loft", 28206 "log", 28207 "loiter", 28208 "loll", 28209 "lollop", 28210 "long", 28211 "look", 28212 "looks", 28213 "loom", 28214 "loop", 28215 "loose", 28216 "loosen", 28217 "loot", 28218 "lop", 28219 "lope", 28220 "lord", 28221 "lose", 28222 "lounge", 28223 "lour", 28224 "louse", 28225 "love", 28226 "low", 28227 "lowball", 28228 "lower", 28229 "lubricate", 28230 "luck", 28231 "lug", 28232 "lull", 28233 "lumber", 28234 "lump", 28235 "lunch", 28236 "lunge", 28237 "lurch", 28238 "lure", 28239 "lurk", 28240 "lust", 28241 "luxuriate", 28242 "lynch", 28243 "macerate", 28244 "machine", 28245 "madden", 28246 "magic", 28247 "magnetise", 28248 "magnetize", 28249 "magnify", 28250 "mail", 28251 "maim", 28252 "mainline", 28253 "mainstream", 28254 "maintain", 28255 "major", 28256 "make", 28257 "malfunction", 28258 "malign", 28259 "malinger", 28260 "maltreat", 28261 "man", 28262 "manacle", 28263 "manage", 28264 "mandate", 28265 "mangle", 28266 "manhandle", 28267 "manicure", 28268 "manifest", 28269 "manipulate", 28270 "manoeuvre", 28271 "mantle", 28272 "manufacture", 28273 "manure", 28274 "map", 28275 "mar", 28276 "march", 28277 "marginalise", 28278 "marginalize", 28279 "marinate", 28280 "mark", 28281 "market", 28282 "maroon", 28283 "marry", 28284 "marshal", 28285 "martyr", 28286 "marvel", 28287 "masculinise", 28288 "masculinize", 28289 "mash", 28290 "mask", 28291 "masquerade", 28292 "mass", 28293 "massacre", 28294 "massage", 28295 "master", 28296 "mastermind", 28297 "masticate", 28298 "masturbate", 28299 "match", 28300 "mate", 28301 "materialise", 28302 "materialize", 28303 "matriculate", 28304 "matter", 28305 "mature", 28306 "maul", 28307 "maunder", 28308 "max", 28309 "maximise", 28310 "maximize", 28311 "mean", 28312 "meander", 28313 "measure", 28314 "mechanise", 28315 "mechanize", 28316 "medal", 28317 "meddle", 28318 "mediate", 28319 "medicate", 28320 "meditate", 28321 "meet", 28322 "meld", 28323 "mellow", 28324 "melt", 28325 "memorialise", 28326 "memorialize", 28327 "memorise", 28328 "memorize", 28329 "menace", 28330 "mend", 28331 "menstruate", 28332 "mention", 28333 "meow", 28334 "mercerise", 28335 "mercerize", 28336 "merchandise", 28337 "merge", 28338 "merit", 28339 "mesh", 28340 "mesmerise", 28341 "mesmerize", 28342 "mess", 28343 "message", 28344 "metabolise", 28345 "metabolize", 28346 "metamorphose", 28347 "mete", 28348 "meter", 28349 "methinks", 28350 "mew", 28351 "mewl", 28352 "miaow", 28353 "microblog", 28354 "microchip", 28355 "micromanage", 28356 "microwave", 28357 "micturate", 28358 "migrate", 28359 "militarise", 28360 "militarize", 28361 "militate", 28362 "milk", 28363 "mill", 28364 "mime", 28365 "mimic", 28366 "mince", 28367 "mind", 28368 "mine", 28369 "mingle", 28370 "miniaturise", 28371 "miniaturize", 28372 "minimise", 28373 "minimize", 28374 "minister", 28375 "minor", 28376 "mint", 28377 "minute", 28378 "mirror", 28379 "misapply", 28380 "misappropriate", 28381 "misbehave", 28382 "miscalculate", 28383 "miscarry", 28384 "miscast", 28385 "misconceive", 28386 "misconstrue", 28387 "miscount", 28388 "misdiagnose", 28389 "misdial", 28390 "misdirect", 28391 "misfile", 28392 "misfire", 28393 "misgovern", 28394 "mishandle", 28395 "mishear", 28396 "mishit", 28397 "misinform", 28398 "misinterpret", 28399 "misjudge", 28400 "miskey", 28401 "mislay", 28402 "mislead", 28403 "mismanage", 28404 "mismatch", 28405 "misname", 28406 "misplace", 28407 "misplay", 28408 "mispronounce", 28409 "misquote", 28410 "misread", 28411 "misreport", 28412 "misrepresent", 28413 "miss", 28414 "mission", 28415 "misspell", 28416 "misspend", 28417 "mist", 28418 "mistake", 28419 "mistime", 28420 "mistreat", 28421 "mistrust", 28422 "misunderstand", 28423 "misuse", 28424 "mitigate", 28425 "mitre", 28426 "mix", 28427 "moan", 28428 "mob", 28429 "mobilise", 28430 "mobilize", 28431 "mock", 28432 "mod", 28433 "model", 28434 "moderate", 28435 "modernise", 28436 "modernize", 28437 "modify", 28438 "modulate", 28439 "moisten", 28440 "moisturise", 28441 "moisturize", 28442 "mold", 28443 "molder", 28444 "molest", 28445 "mollify", 28446 "mollycoddle", 28447 "molt", 28448 "monitor", 28449 "monopolise", 28450 "monopolize", 28451 "moo", 28452 "mooch", 28453 "moon", 28454 "moonlight", 28455 "moonwalk", 28456 "moor", 28457 "moot", 28458 "mop", 28459 "mope", 28460 "moralise", 28461 "moralize", 28462 "morph", 28463 "mortar", 28464 "mortgage", 28465 "mortify", 28466 "mosey", 28467 "mosh", 28468 "mothball", 28469 "mother", 28470 "motion", 28471 "motivate", 28472 "motor", 28473 "mould", 28474 "moulder", 28475 "moult", 28476 "mount", 28477 "mourn", 28478 "mouse", 28479 "mouth", 28480 "move", 28481 "movies", 28482 "mow", 28483 "muck", 28484 "muddle", 28485 "muddy", 28486 "muff", 28487 "muffle", 28488 "mug", 28489 "mulch", 28490 "mull", 28491 "multicast", 28492 "multiply", 28493 "multitask", 28494 "mumble", 28495 "mumbling", 28496 "mummify", 28497 "munch", 28498 "murder", 28499 "murmur", 28500 "murmuring", 28501 "murmurings", 28502 "muscle", 28503 "muse", 28504 "mushroom", 28505 "muss", 28506 "muster", 28507 "mutate", 28508 "mute", 28509 "mutilate", 28510 "mutiny", 28511 "mutter", 28512 "muzzle", 28513 "mystify", 28514 "nab", 28515 "nag", 28516 "nail", 28517 "name", 28518 "namecheck", 28519 "nap", 28520 "narrate", 28521 "narrow", 28522 "narrowcast", 28523 "nasalise", 28524 "nasalize", 28525 "nationalise", 28526 "nationalize", 28527 "natter", 28528 "naturalise", 28529 "naturalize", 28530 "nauseate", 28531 "navigate", 28532 "near", 28533 "nearer", 28534 "nearest", 28535 "neaten", 28536 "necessitate", 28537 "neck", 28538 "necklace", 28539 "need", 28540 "needle", 28541 "negate", 28542 "negative", 28543 "neglect", 28544 "negotiate", 28545 "neigh", 28546 "nerve", 28547 "nest", 28548 "nestle", 28549 "net", 28550 "nettle", 28551 "network", 28552 "neuter", 28553 "neutralise", 28554 "neutralize", 28555 "nibble", 28556 "nick", 28557 "nickname", 28558 "niggle", 28559 "nip", 28560 "nitrify", 28561 "nix", 28562 "nobble", 28563 "nod", 28564 "nominalize", 28565 "nominate", 28566 "norm", 28567 "normalise", 28568 "normalize", 28569 "nose", 28570 "nosedive", 28571 "nosh", 28572 "notarise", 28573 "notarize", 28574 "notch", 28575 "note", 28576 "notice", 28577 "notify", 28578 "nourish", 28579 "nudge", 28580 "nuke", 28581 "nullify", 28582 "numb", 28583 "number", 28584 "nurse", 28585 "nurture", 28586 "nut", 28587 "nuzzle", 28588 "obey", 28589 "obfuscate", 28590 "object", 28591 "objectify", 28592 "oblige", 28593 "obliterate", 28594 "obscure", 28595 "observe", 28596 "obsess", 28597 "obstruct", 28598 "obtain", 28599 "obtrude", 28600 "obviate", 28601 "occasion", 28602 "occlude", 28603 "occupy", 28604 "occur", 28605 "off", 28606 "offend", 28607 "offer", 28608 "officiate", 28609 "offload", 28610 "offset", 28611 "offshore", 28612 "ogle", 28613 "oil", 28614 "okay", 28615 "omit", 28616 "ooze", 28617 "open", 28618 "operate", 28619 "opine", 28620 "oppose", 28621 "oppress", 28622 "opt", 28623 "optimise", 28624 "optimize", 28625 "option", 28626 "orbit", 28627 "orchestrate", 28628 "ordain", 28629 "order", 28630 "organise", 28631 "organize", 28632 "orient", 28633 "orientate", 28634 "originate", 28635 "ornament", 28636 "orphan", 28637 "oscillate", 28638 "ossify", 28639 "ostracise", 28640 "ostracize", 28641 "oust", 28642 "out", 28643 "outbid", 28644 "outclass", 28645 "outdistance", 28646 "outdo", 28647 "outface", 28648 "outfit", 28649 "outflank", 28650 "outfox", 28651 "outgrow", 28652 "outgun", 28653 "outlast", 28654 "outlaw", 28655 "outline", 28656 "outlive", 28657 "outmaneuver", 28658 "outmanoeuvre", 28659 "outnumber", 28660 "outpace", 28661 "outperform", 28662 "outplay", 28663 "outpoint", 28664 "output", 28665 "outrage", 28666 "outrank", 28667 "outrun", 28668 "outsell", 28669 "outshine", 28670 "outsmart", 28671 "outsource", 28672 "outstay", 28673 "outstrip", 28674 "outvote", 28675 "outweigh", 28676 "outwit", 28677 "overachieve", 28678 "overact", 28679 "overawe", 28680 "overbalance", 28681 "overbook", 28682 "overburden", 28683 "overcharge", 28684 "overcome", 28685 "overcompensate", 28686 "overcook", 28687 "overdevelop", 28688 "overdo", 28689 "overdose", 28690 "overdraw", 28691 "overdub", 28692 "overeat", 28693 "overemphasize", 28694 "overestimate", 28695 "overexpose", 28696 "overextend", 28697 "overfeed", 28698 "overflow", 28699 "overfly", 28700 "overgeneralise", 28701 "overgeneralize", 28702 "overgraze", 28703 "overhang", 28704 "overhaul", 28705 "overhear", 28706 "overheat", 28707 "overindulge", 28708 "overlap", 28709 "overlay", 28710 "overlie", 28711 "overload", 28712 "overlook", 28713 "overpay", 28714 "overplay", 28715 "overpower", 28716 "overprint", 28717 "overproduce", 28718 "overrate", 28719 "overreach", 28720 "overreact", 28721 "override", 28722 "overrule", 28723 "overrun", 28724 "oversee", 28725 "oversell", 28726 "overshadow", 28727 "overshoot", 28728 "oversimplify", 28729 "oversleep", 28730 "overspend", 28731 "overstate", 28732 "overstay", 28733 "overstep", 28734 "overstock", 28735 "overstretch", 28736 "overtake", 28737 "overtax", 28738 "overthrow", 28739 "overtrain", 28740 "overturn", 28741 "overuse", 28742 "overvalue", 28743 "overwhelm", 28744 "overwinter", 28745 "overwork", 28746 "overwrite", 28747 "ovulate", 28748 "owe", 28749 "own", 28750 "oxidise", 28751 "oxidize", 28752 "oxygenate", 28753 "pace", 28754 "pacify", 28755 "pack", 28756 "package", 28757 "packetise", 28758 "packetize", 28759 "pad", 28760 "paddle", 28761 "padlock", 28762 "page", 28763 "paginate", 28764 "pailful", 28765 "pain", 28766 "paint", 28767 "pair", 28768 "pal", 28769 "palatalise", 28770 "palatalize", 28771 "pale", 28772 "pall", 28773 "palliate", 28774 "palm", 28775 "palpate", 28776 "palpitate", 28777 "pamper", 28778 "pan", 28779 "pander", 28780 "panel", 28781 "panhandle", 28782 "panic", 28783 "pant", 28784 "paper", 28785 "parachute", 28786 "parade", 28787 "parallel", 28788 "paralyse", 28789 "paralyze", 28790 "paraphrase", 28791 "parboil", 28792 "parcel", 28793 "parch", 28794 "pardon", 28795 "pare", 28796 "park", 28797 "parlay", 28798 "parley", 28799 "parody", 28800 "parole", 28801 "parrot", 28802 "parry", 28803 "parse", 28804 "part", 28805 "partake", 28806 "participate", 28807 "particularise", 28808 "particularize", 28809 "partition", 28810 "partner", 28811 "party", 28812 "pass", 28813 "passivise", 28814 "passivize", 28815 "paste", 28816 "pasteurise", 28817 "pasteurize", 28818 "pasture", 28819 "pat", 28820 "patch", 28821 "patent", 28822 "patrol", 28823 "patronise", 28824 "patronize", 28825 "patter", 28826 "pattern", 28827 "pause", 28828 "pave", 28829 "paw", 28830 "pawn", 28831 "pay", 28832 "peak", 28833 "peal", 28834 "peck", 28835 "pedal", 28836 "peddle", 28837 "pedestrianise", 28838 "pedestrianize", 28839 "pee", 28840 "peek", 28841 "peel", 28842 "peep", 28843 "peer", 28844 "peg", 28845 "pelt", 28846 "pen", 28847 "penalise", 28848 "penalize", 28849 "pencil", 28850 "penetrate", 28851 "pension", 28852 "people", 28853 "pep", 28854 "pepper", 28855 "perambulate", 28856 "perceive", 28857 "perch", 28858 "percolate", 28859 "perfect", 28860 "perforate", 28861 "perform", 28862 "perfume", 28863 "perish", 28864 "perjure", 28865 "perk", 28866 "perm", 28867 "permeate", 28868 "permit", 28869 "perpetrate", 28870 "perpetuate", 28871 "perplex", 28872 "persecute", 28873 "persevere", 28874 "persist", 28875 "personalise", 28876 "personalize", 28877 "personify", 28878 "perspire", 28879 "persuade", 28880 "pertain", 28881 "perturb", 28882 "peruse", 28883 "pervade", 28884 "pervert", 28885 "pester", 28886 "pet", 28887 "peter", 28888 "petition", 28889 "petrify", 28890 "phase", 28891 "philosophise", 28892 "philosophize", 28893 "phone", 28894 "photocopy", 28895 "photograph", 28896 "photoshop", 28897 "photosynthesise", 28898 "photosynthesize", 28899 "phrase", 28900 "pick", 28901 "picket", 28902 "pickle", 28903 "picnic", 28904 "picture", 28905 "picturise", 28906 "picturize", 28907 "piddle", 28908 "piece", 28909 "pierce", 28910 "pig", 28911 "pigeonhole", 28912 "piggyback", 28913 "pike", 28914 "pile", 28915 "pilfer", 28916 "pill", 28917 "pillage", 28918 "pillory", 28919 "pillow", 28920 "pilot", 28921 "pimp", 28922 "pin", 28923 "pinch", 28924 "pine", 28925 "ping", 28926 "pinion", 28927 "pink", 28928 "pinpoint", 28929 "pioneer", 28930 "pip", 28931 "pipe", 28932 "pique", 28933 "pirate", 28934 "pirouette", 28935 "piss", 28936 "pit", 28937 "pitch", 28938 "pity", 28939 "pivot", 28940 "pixelate", 28941 "pixellate", 28942 "placate", 28943 "place", 28944 "plagiarise", 28945 "plagiarize", 28946 "plague", 28947 "plait", 28948 "plan", 28949 "plane", 28950 "plant", 28951 "plaster", 28952 "plasticise", 28953 "plasticize", 28954 "plate", 28955 "plateau", 28956 "play", 28957 "plead", 28958 "please", 28959 "pledge", 28960 "plight", 28961 "plod", 28962 "plonk", 28963 "plop", 28964 "plot", 28965 "plough", 28966 "pluck", 28967 "plug", 28968 "plumb", 28969 "plummet", 28970 "plump", 28971 "plunder", 28972 "plunge", 28973 "plunk", 28974 "pluralise", 28975 "pluralize", 28976 "ply", 28977 "poach", 28978 "pocket", 28979 "point", 28980 "poise", 28981 "poison", 28982 "poke", 28983 "polarise", 28984 "polarize", 28985 "pole", 28986 "poleax", 28987 "poleaxe", 28988 "police", 28989 "polish", 28990 "politicise", 28991 "politicize", 28992 "poll", 28993 "pollard", 28994 "pollinate", 28995 "pollute", 28996 "polymerise", 28997 "polymerize", 28998 "ponce", 28999 "ponder", 29000 "pong", 29001 "pontificate", 29002 "pony", 29003 "poo", 29004 "pooh", 29005 "pool", 29006 "poop", 29007 "pootle", 29008 "pop", 29009 "popularise", 29010 "popularize", 29011 "populate", 29012 "pore", 29013 "port", 29014 "portend", 29015 "portion", 29016 "portray", 29017 "pose", 29018 "posit", 29019 "position", 29020 "possess", 29021 "posset", 29022 "post", 29023 "postmark", 29024 "postpone", 29025 "postulate", 29026 "posture", 29027 "pot", 29028 "potter", 29029 "pounce", 29030 "pound", 29031 "pour", 29032 "pout", 29033 "powder", 29034 "power", 29035 "practice", 29036 "practise", 29037 "praise", 29038 "praises", 29039 "prance", 29040 "prang", 29041 "prate", 29042 "prattle", 29043 "pray", 29044 "preach", 29045 "precede", 29046 "precipitate", 29047 "precis", 29048 "preclude", 29049 "predate", 29050 "predecease", 29051 "predetermine", 29052 "predicate", 29053 "predict", 29054 "predispose", 29055 "predominate", 29056 "preen", 29057 "preface", 29058 "prefer", 29059 "prefigure", 29060 "prefix", 29061 "preheat", 29062 "prejudge", 29063 "prejudice", 29064 "preload", 29065 "premaster", 29066 "premiere", 29067 "preoccupy", 29068 "prep", 29069 "prepare", 29070 "prepone", 29071 "preregister", 29072 "presage", 29073 "prescind", 29074 "prescribe", 29075 "preselect", 29076 "presell", 29077 "present", 29078 "preserve", 29079 "preset", 29080 "preside", 29081 "press", 29082 "pressure", 29083 "pressurise", 29084 "pressurize", 29085 "presume", 29086 "presuppose", 29087 "pretend", 29088 "pretest", 29089 "prettify", 29090 "prevail", 29091 "prevaricate", 29092 "prevent", 29093 "preview", 29094 "prey", 29095 "price", 29096 "prick", 29097 "prickle", 29098 "pride", 29099 "prime", 29100 "primp", 29101 "print", 29102 "prioritise", 29103 "prioritize", 29104 "prise", 29105 "privatise", 29106 "privatize", 29107 "privilege", 29108 "prize", 29109 "probate", 29110 "probe", 29111 "proceed", 29112 "process", 29113 "proclaim", 29114 "procrastinate", 29115 "procreate", 29116 "proctor", 29117 "procure", 29118 "prod", 29119 "produce", 29120 "profane", 29121 "profess", 29122 "professionalise", 29123 "professionalize", 29124 "proffer", 29125 "profile", 29126 "profit", 29127 "program", 29128 "programme", 29129 "progress", 29130 "prohibit", 29131 "project", 29132 "proliferate", 29133 "prolong", 29134 "promenade", 29135 "promise", 29136 "promote", 29137 "prompt", 29138 "promulgate", 29139 "pronounce", 29140 "proof", 29141 "proofread", 29142 "prop", 29143 "propagandise", 29144 "propagandize", 29145 "propagate", 29146 "propel", 29147 "prophesy", 29148 "propitiate", 29149 "propose", 29150 "proposition", 29151 "propound", 29152 "proscribe", 29153 "prosecute", 29154 "proselytise", 29155 "proselytize", 29156 "prospect", 29157 "prosper", 29158 "prostitute", 29159 "prostrate", 29160 "protect", 29161 "protest", 29162 "protrude", 29163 "prove", 29164 "provide", 29165 "provision", 29166 "provoke", 29167 "prowl", 29168 "prune", 29169 "pry", 29170 "psych", 29171 "psychoanalyse", 29172 "publicise", 29173 "publicize", 29174 "publish", 29175 "pucker", 29176 "puff", 29177 "puke", 29178 "pull", 29179 "pullulate", 29180 "pulp", 29181 "pulsate", 29182 "pulse", 29183 "pulverise", 29184 "pulverize", 29185 "pummel", 29186 "pump", 29187 "pun", 29188 "punch", 29189 "punctuate", 29190 "puncture", 29191 "punish", 29192 "punt", 29193 "pupate", 29194 "purchase", 29195 "purge", 29196 "purify", 29197 "purl", 29198 "purloin", 29199 "purport", 29200 "purr", 29201 "purse", 29202 "pursue", 29203 "purvey", 29204 "push", 29205 "pussyfoot", 29206 "put", 29207 "putrefy", 29208 "putt", 29209 "putter", 29210 "puzzle", 29211 "quack", 29212 "quadruple", 29213 "quaff", 29214 "quail", 29215 "quake", 29216 "qualify", 29217 "quantify", 29218 "quarantine", 29219 "quarrel", 29220 "quarry", 29221 "quarter", 29222 "quarterback", 29223 "quash", 29224 "quaver", 29225 "queer", 29226 "quell", 29227 "quench", 29228 "query", 29229 "quest", 29230 "question", 29231 "queue", 29232 "quibble", 29233 "quicken", 29234 "quiet", 29235 "quieten", 29236 "quintuple", 29237 "quip", 29238 "quirk", 29239 "quit", 29240 "quiver", 29241 "quiz", 29242 "quote", 29243 "quoth", 29244 "rabbit", 29245 "race", 29246 "rack", 29247 "radiate", 29248 "radicalise", 29249 "radicalize", 29250 "radio", 29251 "raffle", 29252 "rag", 29253 "rage", 29254 "raid", 29255 "rail", 29256 "railroad", 29257 "rain", 29258 "raise", 29259 "rake", 29260 "rally", 29261 "ram", 29262 "ramble", 29263 "ramp", 29264 "rampage", 29265 "randomise", 29266 "randomize", 29267 "range", 29268 "rank", 29269 "rankle", 29270 "ransack", 29271 "ransom", 29272 "rant", 29273 "rap", 29274 "rape", 29275 "rappel", 29276 "rasp", 29277 "rasterise", 29278 "rasterize", 29279 "rat", 29280 "ratchet", 29281 "rate", 29282 "ratify", 29283 "ration", 29284 "rationalise", 29285 "rationalize", 29286 "rattle", 29287 "ravage", 29288 "rave", 29289 "ravel", 29290 "ravish", 29291 "raze", 29292 "razz", 29293 "reach", 29294 "reacquaint", 29295 "react", 29296 "reactivate", 29297 "read", 29298 "readdress", 29299 "readies", 29300 "readjust", 29301 "readmit", 29302 "ready", 29303 "reaffirm", 29304 "realign", 29305 "realise", 29306 "realize", 29307 "reallocate", 29308 "ream", 29309 "reanimate", 29310 "reap", 29311 "reappear", 29312 "reapply", 29313 "reappoint", 29314 "reappraise", 29315 "rear", 29316 "rearm", 29317 "rearrange", 29318 "reason", 29319 "reassemble", 29320 "reassert", 29321 "reassess", 29322 "reassign", 29323 "reassure", 29324 "reawaken", 29325 "rebel", 29326 "reboot", 29327 "reborn", 29328 "rebound", 29329 "rebrand", 29330 "rebuff", 29331 "rebuild", 29332 "rebuke", 29333 "rebut", 29334 "recall", 29335 "recant", 29336 "recap", 29337 "recapitulate", 29338 "recapture", 29339 "recast", 29340 "recede", 29341 "receive", 29342 "recess", 29343 "recharge", 29344 "reciprocate", 29345 "recite", 29346 "reckon", 29347 "reclaim", 29348 "reclassify", 29349 "recline", 29350 "recognise", 29351 "recognize", 29352 "recoil", 29353 "recollect", 29354 "recommence", 29355 "recommend", 29356 "recompense", 29357 "reconcile", 29358 "recondition", 29359 "reconfigure", 29360 "reconfirm", 29361 "reconnect", 29362 "reconnoitre", 29363 "reconquer", 29364 "reconsider", 29365 "reconstitute", 29366 "reconstruct", 29367 "reconvene", 29368 "record", 29369 "recount", 29370 "recoup", 29371 "recover", 29372 "recreate", 29373 "recrudesce", 29374 "recruit", 29375 "rectify", 29376 "recuperate", 29377 "recur", 29378 "recycle", 29379 "redact", 29380 "redden", 29381 "redecorate", 29382 "redeem", 29383 "redefine", 29384 "redeploy", 29385 "redesign", 29386 "redevelop", 29387 "redial", 29388 "redirect", 29389 "rediscover", 29390 "redistribute", 29391 "redistrict", 29392 "redo", 29393 "redouble", 29394 "redound", 29395 "redraft", 29396 "redraw", 29397 "redress", 29398 "reduce", 29399 "reduplicate", 29400 "reef", 29401 "reek", 29402 "reel", 29403 "ref", 29404 "refer", 29405 "referee", 29406 "reference", 29407 "refill", 29408 "refinance", 29409 "refine", 29410 "refit", 29411 "reflate", 29412 "reflect", 29413 "refloat", 29414 "refocus", 29415 "reform", 29416 "reformat", 29417 "reformulate", 29418 "refract", 29419 "refrain", 29420 "refresh", 29421 "refrigerate", 29422 "refuel", 29423 "refund", 29424 "refurbish", 29425 "refuse", 29426 "refute", 29427 "regain", 29428 "regale", 29429 "regard", 29430 "regenerate", 29431 "register", 29432 "regress", 29433 "regret", 29434 "regroup", 29435 "regularise", 29436 "regularize", 29437 "regulate", 29438 "regurgitate", 29439 "rehabilitate", 29440 "rehash", 29441 "rehear", 29442 "rehearse", 29443 "reheat", 29444 "rehome", 29445 "rehouse", 29446 "reign", 29447 "reignite", 29448 "reimburse", 29449 "rein", 29450 "reincarnate", 29451 "reinforce", 29452 "reinstate", 29453 "reinterpret", 29454 "reintroduce", 29455 "reinvent", 29456 "reinvest", 29457 "reinvigorate", 29458 "reissue", 29459 "reiterate", 29460 "reject", 29461 "rejig", 29462 "rejigger", 29463 "rejoice", 29464 "rejoin", 29465 "rejuvenate", 29466 "rekindle", 29467 "relapse", 29468 "relate", 29469 "relaunch", 29470 "relax", 29471 "relay", 29472 "release", 29473 "relegate", 29474 "relent", 29475 "relieve", 29476 "relinquish", 29477 "relish", 29478 "relive", 29479 "reload", 29480 "relocate", 29481 "rely", 29482 "remain", 29483 "remainder", 29484 "remake", 29485 "remand", 29486 "remap", 29487 "remark", 29488 "remarry", 29489 "remaster", 29490 "remediate", 29491 "remedy", 29492 "remember", 29493 "remind", 29494 "reminisce", 29495 "remit", 29496 "remix", 29497 "remodel", 29498 "remonstrate", 29499 "remortgage", 29500 "remould", 29501 "remount", 29502 "remove", 29503 "remunerate", 29504 "rename", 29505 "rend", 29506 "render", 29507 "rendezvous", 29508 "renege", 29509 "renew", 29510 "renounce", 29511 "renovate", 29512 "rent", 29513 "reoccur", 29514 "reoffend", 29515 "reopen", 29516 "reorder", 29517 "reorganise", 29518 "reorganize", 29519 "reorient", 29520 "repackage", 29521 "repair", 29522 "repatriate", 29523 "repay", 29524 "repeal", 29525 "repeat", 29526 "repel", 29527 "repent", 29528 "rephrase", 29529 "replace", 29530 "replay", 29531 "replenish", 29532 "replicate", 29533 "reply", 29534 "report", 29535 "repose", 29536 "repossess", 29537 "represent", 29538 "repress", 29539 "reprieve", 29540 "reprimand", 29541 "reprint", 29542 "reproach", 29543 "reprocess", 29544 "reproduce", 29545 "reprove", 29546 "repudiate", 29547 "repulse", 29548 "repurpose", 29549 "request", 29550 "require", 29551 "requisition", 29552 "requite", 29553 "rerun", 29554 "reschedule", 29555 "rescind", 29556 "rescue", 29557 "research", 29558 "researches", 29559 "resect", 29560 "resell", 29561 "resemble", 29562 "resent", 29563 "reserve", 29564 "reset", 29565 "resettle", 29566 "reshape", 29567 "reshuffle", 29568 "reside", 29569 "resign", 29570 "resist", 29571 "resit", 29572 "resize", 29573 "reskill", 29574 "resolve", 29575 "resonate", 29576 "resort", 29577 "resound", 29578 "resource", 29579 "respect", 29580 "respire", 29581 "respond", 29582 "respray", 29583 "rest", 29584 "restart", 29585 "restate", 29586 "restock", 29587 "restore", 29588 "restrain", 29589 "restrict", 29590 "restring", 29591 "restructure", 29592 "result", 29593 "resume", 29594 "resupply", 29595 "resurface", 29596 "resurrect", 29597 "resuscitate", 29598 "retail", 29599 "retain", 29600 "retake", 29601 "retaliate", 29602 "retard", 29603 "retch", 29604 "retell", 29605 "retest", 29606 "rethink", 29607 "retire", 29608 "retool", 29609 "retort", 29610 "retouch", 29611 "retrace", 29612 "retract", 29613 "retrain", 29614 "retreat", 29615 "retrench", 29616 "retrieve", 29617 "retrofit", 29618 "retry", 29619 "return", 29620 "reunify", 29621 "reunite", 29622 "reuse", 29623 "rev", 29624 "revalue", 29625 "revamp", 29626 "reveal", 29627 "revel", 29628 "revenge", 29629 "reverberate", 29630 "revere", 29631 "reverse", 29632 "revert", 29633 "review", 29634 "revile", 29635 "revise", 29636 "revisit", 29637 "revitalise", 29638 "revitalize", 29639 "revive", 29640 "revivify", 29641 "revoke", 29642 "revolt", 29643 "revolutionise", 29644 "revolutionize", 29645 "revolve", 29646 "reward", 29647 "rewind", 29648 "rewire", 29649 "reword", 29650 "rework", 29651 "rewrite", 29652 "rhapsodise", 29653 "rhapsodize", 29654 "rhyme", 29655 "rib", 29656 "rick", 29657 "ricochet", 29658 "rid", 29659 "riddle", 29660 "ride", 29661 "ridge", 29662 "ridicule", 29663 "riffle", 29664 "rifle", 29665 "rig", 29666 "right", 29667 "rightsize", 29668 "rile", 29669 "rim", 29670 "ring", 29671 "rinse", 29672 "riot", 29673 "rip", 29674 "ripen", 29675 "riposte", 29676 "ripple", 29677 "rise", 29678 "risk", 29679 "ritualise", 29680 "ritualize", 29681 "rival", 29682 "rivet", 29683 "roam", 29684 "roar", 29685 "roast", 29686 "rob", 29687 "robe", 29688 "rock", 29689 "rocket", 29690 "roger", 29691 "roll", 29692 "romance", 29693 "romanticise", 29694 "romanticize", 29695 "romp", 29696 "roof", 29697 "room", 29698 "roost", 29699 "root", 29700 "rope", 29701 "rosin", 29702 "roster", 29703 "rot", 29704 "rotate", 29705 "rouge", 29706 "rough", 29707 "roughen", 29708 "roughhouse", 29709 "round", 29710 "rouse", 29711 "roust", 29712 "rout", 29713 "route", 29714 "rove", 29715 "row", 29716 "rub", 29717 "rubberneck", 29718 "rubbish", 29719 "ruck", 29720 "rue", 29721 "ruffle", 29722 "ruin", 29723 "ruins", 29724 "rule", 29725 "rumble", 29726 "ruminate", 29727 "rummage", 29728 "rumor", 29729 "rumour", 29730 "rumple", 29731 "run", 29732 "rupture", 29733 "rush", 29734 "rust", 29735 "rustle", 29736 "sabotage", 29737 "sack", 29738 "sacrifice", 29739 "sadden", 29740 "saddle", 29741 "safeguard", 29742 "sag", 29743 "sail", 29744 "salaam", 29745 "salivate", 29746 "sally", 29747 "salt", 29748 "salute", 29749 "salvage", 29750 "salve", 29751 "sample", 29752 "sanctify", 29753 "sanction", 29754 "sand", 29755 "sandbag", 29756 "sandblast", 29757 "sandpaper", 29758 "sandwich", 29759 "sanitise", 29760 "sanitize", 29761 "sap", 29762 "sashay", 29763 "sass", 29764 "sate", 29765 "satiate", 29766 "satirise", 29767 "satirize", 29768 "satisfy", 29769 "saturate", 29770 "saunter", 29771 "savage", 29772 "save", 29773 "savor", 29774 "savour", 29775 "saw", 29776 "say", 29777 "scald", 29778 "scale", 29779 "scallop", 29780 "scalp", 29781 "scamper", 29782 "scan", 29783 "scandalise", 29784 "scandalize", 29785 "scapegoat", 29786 "scar", 29787 "scare", 29788 "scarf", 29789 "scarify", 29790 "scarper", 29791 "scatter", 29792 "scattering", 29793 "scavenge", 29794 "scent", 29795 "schedule", 29796 "schematise", 29797 "schematize", 29798 "scheme", 29799 "schlep", 29800 "schlepp", 29801 "schmooze", 29802 "school", 29803 "schtup", 29804 "schuss", 29805 "scoff", 29806 "scold", 29807 "scoop", 29808 "scoot", 29809 "scope", 29810 "scorch", 29811 "score", 29812 "scorn", 29813 "scotch", 29814 "scour", 29815 "scourge", 29816 "scout", 29817 "scowl", 29818 "scrabble", 29819 "scram", 29820 "scramble", 29821 "scrap", 29822 "scrape", 29823 "scratch", 29824 "scrawl", 29825 "scream", 29826 "screech", 29827 "screen", 29828 "screw", 29829 "scribble", 29830 "scrimp", 29831 "script", 29832 "scroll", 29833 "scrounge", 29834 "scrub", 29835 "scrummage", 29836 "scrunch", 29837 "scruple", 29838 "scrutinise", 29839 "scrutinize", 29840 "scud", 29841 "scuff", 29842 "scuffle", 29843 "scull", 29844 "sculpt", 29845 "scupper", 29846 "scurry", 29847 "scuttle", 29848 "scythe", 29849 "seal", 29850 "sealift", 29851 "sear", 29852 "search", 29853 "season", 29854 "seat", 29855 "secede", 29856 "seclude", 29857 "second", 29858 "secrete", 29859 "section", 29860 "secularise", 29861 "secularize", 29862 "secure", 29863 "sedate", 29864 "seduce", 29865 "see", 29866 "seed", 29867 "seek", 29868 "seep", 29869 "seethe", 29870 "segment", 29871 "segregate", 29872 "segue", 29873 "seize", 29874 "select", 29875 "sell", 29876 "sellotape", 29877 "semaphore", 29878 "send", 29879 "sensationalise", 29880 "sensationalize", 29881 "sense", 29882 "sensitise", 29883 "sensitize", 29884 "sentence", 29885 "sentimentalise", 29886 "sentimentalize", 29887 "separate", 29888 "sequence", 29889 "sequester", 29890 "sequestrate", 29891 "serenade", 29892 "serialise", 29893 "serialize", 29894 "sermonise", 29895 "sermonize", 29896 "serve", 29897 "service", 29898 "set", 29899 "settle", 29900 "sever", 29901 "sew", 29902 "sex", 29903 "sexualise", 29904 "sexualize", 29905 "shack", 29906 "shackle", 29907 "shade", 29908 "shadow", 29909 "shaft", 29910 "shag", 29911 "shake", 29912 "shalt", 29913 "sham", 29914 "shamble", 29915 "shame", 29916 "shampoo", 29917 "shanghai", 29918 "shape", 29919 "share", 29920 "sharpen", 29921 "shatter", 29922 "shave", 29923 "shear", 29924 "sheathe", 29925 "shed", 29926 "sheer", 29927 "shell", 29928 "shellac", 29929 "shelter", 29930 "shelve", 29931 "shepherd", 29932 "shield", 29933 "shift", 29934 "shimmer", 29935 "shimmy", 29936 "shin", 29937 "shine", 29938 "shinny", 29939 "ship", 29940 "shipwreck", 29941 "shirk", 29942 "shit", 29943 "shiver", 29944 "shock", 29945 "shoe", 29946 "shoehorn", 29947 "shoo", 29948 "shoot", 29949 "shop", 29950 "shoplift", 29951 "shore", 29952 "short", 29953 "shorten", 29954 "shortlist", 29955 "shoulder", 29956 "shout", 29957 "shove", 29958 "shovel", 29959 "show", 29960 "showboat", 29961 "showcase", 29962 "shower", 29963 "shred", 29964 "shriek", 29965 "shrill", 29966 "shrink", 29967 "shrivel", 29968 "shroom", 29969 "shroud", 29970 "shrug", 29971 "shtup", 29972 "shuck", 29973 "shudder", 29974 "shuffle", 29975 "shun", 29976 "shunt", 29977 "shush", 29978 "shut", 29979 "shuttle", 29980 "shy", 29981 "sic", 29982 "sick", 29983 "sicken", 29984 "side", 29985 "sideline", 29986 "sidestep", 29987 "sideswipe", 29988 "sidetrack", 29989 "sidle", 29990 "sieve", 29991 "sift", 29992 "sigh", 29993 "sight", 29994 "sightsee", 29995 "sign", 29996 "signal", 29997 "signify", 29998 "signpost", 29999 "silence", 30000 "silhouette", 30001 "silt", 30002 "silver", 30003 "simmer", 30004 "simper", 30005 "simplify", 30006 "simulate", 30007 "simulcast", 30008 "sin", 30009 "sing", 30010 "singe", 30011 "single", 30012 "sink", 30013 "sip", 30014 "siphon", 30015 "sire", 30016 "sit", 30017 "site", 30018 "situate", 30019 "size", 30020 "sizzle", 30021 "skate", 30022 "skateboard", 30023 "skedaddle", 30024 "sketch", 30025 "skew", 30026 "skewer", 30027 "ski", 30028 "skid", 30029 "skim", 30030 "skimp", 30031 "skin", 30032 "skip", 30033 "skipper", 30034 "skirmish", 30035 "skirt", 30036 "skitter", 30037 "skive", 30038 "skivvy", 30039 "skulk", 30040 "sky", 30041 "skyjack", 30042 "skyrocket", 30043 "slack", 30044 "slacken", 30045 "slag", 30046 "slake", 30047 "slam", 30048 "slander", 30049 "slant", 30050 "slap", 30051 "slash", 30052 "slate", 30053 "slather", 30054 "slaughter", 30055 "slave", 30056 "slaver", 30057 "slay", 30058 "sledge", 30059 "sleek", 30060 "sleep", 30061 "sleepwalk", 30062 "sleet", 30063 "slew", 30064 "slice", 30065 "slick", 30066 "slide", 30067 "slight", 30068 "slim", 30069 "sling", 30070 "slink", 30071 "slip", 30072 "slit", 30073 "slither", 30074 "slob", 30075 "slobber", 30076 "slog", 30077 "slop", 30078 "slope", 30079 "slosh", 30080 "slot", 30081 "slouch", 30082 "slough", 30083 "slow", 30084 "slug", 30085 "sluice", 30086 "slum", 30087 "slumber", 30088 "slump", 30089 "slur", 30090 "slurp", 30091 "smack", 30092 "smart", 30093 "smarten", 30094 "smash", 30095 "smear", 30096 "smell", 30097 "smelt", 30098 "smile", 30099 "smirk", 30100 "smite", 30101 "smoke", 30102 "smooch", 30103 "smoodge", 30104 "smooth", 30105 "smother", 30106 "smoulder", 30107 "smudge", 30108 "smuggle", 30109 "snack", 30110 "snaffle", 30111 "snag", 30112 "snaggle", 30113 "snake", 30114 "snap", 30115 "snare", 30116 "snarf", 30117 "snarl", 30118 "snatch", 30119 "sneak", 30120 "sneer", 30121 "sneeze", 30122 "snicker", 30123 "sniff", 30124 "sniffle", 30125 "snigger", 30126 "snip", 30127 "snipe", 30128 "snitch", 30129 "snivel", 30130 "snog", 30131 "snooker", 30132 "snoop", 30133 "snooper", 30134 "snooze", 30135 "snore", 30136 "snorkel", 30137 "snort", 30138 "snow", 30139 "snowball", 30140 "snowplough", 30141 "snowplow", 30142 "snub", 30143 "snuff", 30144 "snuffle", 30145 "snuffling", 30146 "snuggle", 30147 "soak", 30148 "soap", 30149 "soar", 30150 "sob", 30151 "sober", 30152 "socialise", 30153 "socialize", 30154 "sock", 30155 "sod", 30156 "sodomise", 30157 "sodomize", 30158 "soften", 30159 "soil", 30160 "sojourn", 30161 "solace", 30162 "solder", 30163 "soldier", 30164 "sole", 30165 "solemnise", 30166 "solemnize", 30167 "solicit", 30168 "solidify", 30169 "soliloquize", 30170 "solve", 30171 "somersault", 30172 "soothe", 30173 "sorrow", 30174 "sort", 30175 "sough", 30176 "sound", 30177 "soundproof", 30178 "soup", 30179 "sour", 30180 "source", 30181 "souse", 30182 "sow", 30183 "space", 30184 "span", 30185 "spangle", 30186 "spank", 30187 "spar", 30188 "spare", 30189 "spark", 30190 "sparkle", 30191 "spatter", 30192 "spattering", 30193 "spawn", 30194 "spay", 30195 "speak", 30196 "spear", 30197 "spearhead", 30198 "spec", 30199 "specialise", 30200 "specialize", 30201 "specify", 30202 "spectacles", 30203 "spectate", 30204 "speculate", 30205 "speed", 30206 "spell", 30207 "spellcheck", 30208 "spend", 30209 "spew", 30210 "spice", 30211 "spiff", 30212 "spike", 30213 "spill", 30214 "spin", 30215 "spiral", 30216 "spirit", 30217 "spit", 30218 "spite", 30219 "splash", 30220 "splatter", 30221 "splay", 30222 "splice", 30223 "splinter", 30224 "split", 30225 "splosh", 30226 "splurge", 30227 "splutter", 30228 "spoil", 30229 "sponge", 30230 "sponsor", 30231 "spoof", 30232 "spook", 30233 "spool", 30234 "spoon", 30235 "sport", 30236 "sports", 30237 "spot", 30238 "spotlight", 30239 "spout", 30240 "sprain", 30241 "sprawl", 30242 "spray", 30243 "spread", 30244 "spreadeagle", 30245 "spring", 30246 "springboard", 30247 "sprinkle", 30248 "sprint", 30249 "spritz", 30250 "sprout", 30251 "spruce", 30252 "spur", 30253 "spurn", 30254 "spurt", 30255 "sputter", 30256 "spy", 30257 "squabble", 30258 "squall", 30259 "squander", 30260 "square", 30261 "squash", 30262 "squat", 30263 "squawk", 30264 "squeak", 30265 "squeal", 30266 "squeeze", 30267 "squelch", 30268 "squint", 30269 "squirm", 30270 "squirrel", 30271 "squirt", 30272 "squish", 30273 "stab", 30274 "stabilise", 30275 "stabilize", 30276 "stable", 30277 "stables", 30278 "stack", 30279 "staff", 30280 "stage", 30281 "stagger", 30282 "stagnate", 30283 "stain", 30284 "stake", 30285 "stalk", 30286 "stall", 30287 "stammer", 30288 "stamp", 30289 "stampede", 30290 "stanch", 30291 "stand", 30292 "standardise", 30293 "standardize", 30294 "staple", 30295 "star", 30296 "starch", 30297 "stare", 30298 "start", 30299 "startle", 30300 "starve", 30301 "stash", 30302 "state", 30303 "statement", 30304 "station", 30305 "staunch", 30306 "stave", 30307 "stay", 30308 "steady", 30309 "steal", 30310 "steam", 30311 "steamroller", 30312 "steel", 30313 "steep", 30314 "steepen", 30315 "steer", 30316 "stem", 30317 "stencil", 30318 "step", 30319 "stereotype", 30320 "sterilise", 30321 "sterilize", 30322 "stew", 30323 "stick", 30324 "stickybeak", 30325 "stiff", 30326 "stiffen", 30327 "stifle", 30328 "stigmatise", 30329 "stigmatize", 30330 "still", 30331 "stimulate", 30332 "sting", 30333 "stinger", 30334 "stink", 30335 "stint", 30336 "stipple", 30337 "stipulate", 30338 "stir", 30339 "stitch", 30340 "stock", 30341 "stockpile", 30342 "stoke", 30343 "stomach", 30344 "stomp", 30345 "stone", 30346 "stonewall", 30347 "stoop", 30348 "stop", 30349 "stopper", 30350 "store", 30351 "storm", 30352 "storyboard", 30353 "stow", 30354 "straddle", 30355 "strafe", 30356 "straggle", 30357 "straighten", 30358 "strain", 30359 "strand", 30360 "strangle", 30361 "strap", 30362 "stratify", 30363 "stravage", 30364 "stravaig", 30365 "stray", 30366 "streak", 30367 "stream", 30368 "streamline", 30369 "strengthen", 30370 "stress", 30371 "stretch", 30372 "stretcher", 30373 "strew", 30374 "stride", 30375 "strike", 30376 "string", 30377 "strip", 30378 "strive", 30379 "stroke", 30380 "stroll", 30381 "structure", 30382 "struggle", 30383 "strum", 30384 "strut", 30385 "stub", 30386 "stud", 30387 "study", 30388 "stuff", 30389 "stultify", 30390 "stumble", 30391 "stump", 30392 "stun", 30393 "stunt", 30394 "stupefy", 30395 "stutter", 30396 "style", 30397 "stymie", 30398 "sub", 30399 "subcontract", 30400 "subdivide", 30401 "subdue", 30402 "subedit", 30403 "subject", 30404 "subjugate", 30405 "sublet", 30406 "sublimate", 30407 "submerge", 30408 "submit", 30409 "subordinate", 30410 "suborn", 30411 "subpoena", 30412 "subscribe", 30413 "subside", 30414 "subsidise", 30415 "subsidize", 30416 "subsist", 30417 "substantiate", 30418 "substitute", 30419 "subsume", 30420 "subtend", 30421 "subtitle", 30422 "subtract", 30423 "subvert", 30424 "succeed", 30425 "succor", 30426 "succour", 30427 "succumb", 30428 "suck", 30429 "sucker", 30430 "suckle", 30431 "suction", 30432 "sue", 30433 "suffer", 30434 "suffice", 30435 "suffocate", 30436 "suffuse", 30437 "sugar", 30438 "suggest", 30439 "suit", 30440 "sulk", 30441 "sulks", 30442 "sully", 30443 "sum", 30444 "summarise", 30445 "summarize", 30446 "summon", 30447 "summons", 30448 "sun", 30449 "sunbathe", 30450 "sunder", 30451 "sunset", 30452 "sup", 30453 "superimpose", 30454 "superintend", 30455 "superpose", 30456 "supersede", 30457 "supersize", 30458 "supersized", 30459 "supervene", 30460 "supervise", 30461 "supplant", 30462 "supplement", 30463 "supply", 30464 "support", 30465 "suppose", 30466 "suppress", 30467 "suppurate", 30468 "surcharge", 30469 "surf", 30470 "surface", 30471 "surge", 30472 "surmise", 30473 "surmount", 30474 "surpass", 30475 "surprise", 30476 "surrender", 30477 "surround", 30478 "survey", 30479 "survive", 30480 "suspect", 30481 "suspend", 30482 "suspenders", 30483 "suss", 30484 "sustain", 30485 "suture", 30486 "swab", 30487 "swaddle", 30488 "swagger", 30489 "swallow", 30490 "swamp", 30491 "swan", 30492 "swank", 30493 "swap", 30494 "swarm", 30495 "swat", 30496 "swath", 30497 "swathe", 30498 "sway", 30499 "swear", 30500 "sweat", 30501 "sweep", 30502 "sweeps", 30503 "sweeten", 30504 "swell", 30505 "swelter", 30506 "swerve", 30507 "swig", 30508 "swill", 30509 "swim", 30510 "swindle", 30511 "swing", 30512 "swipe", 30513 "swirl", 30514 "swish", 30515 "switch", 30516 "swivel", 30517 "swoon", 30518 "swoop", 30519 "swoosh", 30520 "swot", 30521 "symbolise", 30522 "symbolize", 30523 "sympathise", 30524 "sympathize", 30525 "symptomize", 30526 "synchronise", 30527 "synchronize", 30528 "syndicate", 30529 "synthesise", 30530 "synthesize", 30531 "syringe", 30532 "systematise", 30533 "systematize", 30534 "tab", 30535 "table", 30536 "tabulate", 30537 "tack", 30538 "tackle", 30539 "tag", 30540 "tail", 30541 "tailgate", 30542 "tailor", 30543 "taint", 30544 "take", 30545 "talk", 30546 "tally", 30547 "tame", 30548 "tamp", 30549 "tamper", 30550 "tan", 30551 "tangle", 30552 "tango", 30553 "tank", 30554 "tankful", 30555 "tantalise", 30556 "tantalize", 30557 "tap", 30558 "tape", 30559 "taper", 30560 "tar", 30561 "target", 30562 "tarmac", 30563 "tarnish", 30564 "tarry", 30565 "tart", 30566 "task", 30567 "taste", 30568 "tattle", 30569 "tattoo", 30570 "taunt", 30571 "tauten", 30572 "tax", 30573 "taxi", 30574 "taxicab", 30575 "teach", 30576 "team", 30577 "tear", 30578 "tease", 30579 "tee", 30580 "teem", 30581 "teeter", 30582 "teethe", 30583 "telecast", 30584 "telecommute", 30585 "teleconference", 30586 "telegraph", 30587 "telemeter", 30588 "teleoperate", 30589 "telephone", 30590 "teleport", 30591 "telescope", 30592 "televise", 30593 "telex", 30594 "tell", 30595 "telnet", 30596 "temp", 30597 "temper", 30598 "temporise", 30599 "temporize", 30600 "tempt", 30601 "tenant", 30602 "tend", 30603 "tender", 30604 "tenderise", 30605 "tenderize", 30606 "tense", 30607 "tension", 30608 "tergiversate", 30609 "term", 30610 "terminate", 30611 "terraform", 30612 "terrify", 30613 "terrorise", 30614 "terrorize", 30615 "test", 30616 "testify", 30617 "tether", 30618 "text", 30619 "thank", 30620 "thatch", 30621 "thaw", 30622 "theorise", 30623 "theorize", 30624 "thicken", 30625 "thin", 30626 "think", 30627 "thirst", 30628 "thrash", 30629 "thread", 30630 "threaten", 30631 "thresh", 30632 "thrill", 30633 "thrive", 30634 "throb", 30635 "throbbing", 30636 "throng", 30637 "throttle", 30638 "throw", 30639 "thrust", 30640 "thud", 30641 "thumb", 30642 "thump", 30643 "thunder", 30644 "thwack", 30645 "thwart", 30646 "tick", 30647 "ticket", 30648 "tickle", 30649 "tide", 30650 "tidy", 30651 "tie", 30652 "tighten", 30653 "tile", 30654 "till", 30655 "tilt", 30656 "time", 30657 "timetable", 30658 "tinge", 30659 "tingle", 30660 "tingling", 30661 "tinker", 30662 "tinkle", 30663 "tinkling", 30664 "tint", 30665 "tip", 30666 "tippex", 30667 "tipple", 30668 "tiptoe", 30669 "tire", 30670 "titillate", 30671 "titivate", 30672 "title", 30673 "titrate", 30674 "titter", 30675 "toady", 30676 "toast", 30677 "toboggan", 30678 "toddle", 30679 "toe", 30680 "tog", 30681 "toggle", 30682 "toil", 30683 "toke", 30684 "tolerate", 30685 "toll", 30686 "tone", 30687 "tongue", 30688 "tonify", 30689 "tool", 30690 "toot", 30691 "tootle", 30692 "top", 30693 "topple", 30694 "torch", 30695 "torment", 30696 "torpedo", 30697 "torture", 30698 "toss", 30699 "tot", 30700 "total", 30701 "tote", 30702 "totter", 30703 "touch", 30704 "tough", 30705 "toughen", 30706 "tour", 30707 "tousle", 30708 "tout", 30709 "tow", 30710 "towel", 30711 "tower", 30712 "toy", 30713 "trace", 30714 "track", 30715 "trade", 30716 "traduce", 30717 "traffic", 30718 "trail", 30719 "train", 30720 "traipse", 30721 "trammel", 30722 "tramp", 30723 "trample", 30724 "trampoline", 30725 "tranquilize", 30726 "tranquillize", 30727 "transact", 30728 "transcend", 30729 "transcribe", 30730 "transfer", 30731 "transfigure", 30732 "transfix", 30733 "transform", 30734 "transfuse", 30735 "transgress", 30736 "transit", 30737 "translate", 30738 "transliterate", 30739 "transmit", 30740 "transmogrify", 30741 "transmute", 30742 "transpire", 30743 "transplant", 30744 "transport", 30745 "transpose", 30746 "trap", 30747 "trash", 30748 "traumatise", 30749 "traumatize", 30750 "travel", 30751 "traverse", 30752 "trawl", 30753 "tread", 30754 "treasure", 30755 "treat", 30756 "treble", 30757 "trek", 30758 "tremble", 30759 "trembling", 30760 "trepan", 30761 "trespass", 30762 "trial", 30763 "trick", 30764 "trickle", 30765 "trifle", 30766 "trigger", 30767 "trill", 30768 "trim", 30769 "trip", 30770 "triple", 30771 "triumph", 30772 "trivialise", 30773 "trivialize", 30774 "troll", 30775 "tromp", 30776 "troop", 30777 "trot", 30778 "trouble", 30779 "troubleshoot", 30780 "trounce", 30781 "trouser", 30782 "truant", 30783 "truck", 30784 "trudge", 30785 "trump", 30786 "trumpet", 30787 "truncate", 30788 "trundle", 30789 "truss", 30790 "trust", 30791 "try", 30792 "tuck", 30793 "tug", 30794 "tugboat", 30795 "tumble", 30796 "tune", 30797 "tunnel", 30798 "turbocharge", 30799 "turf", 30800 "turn", 30801 "tussle", 30802 "tut", 30803 "tutor", 30804 "twang", 30805 "tweak", 30806 "tweet", 30807 "twiddle", 30808 "twig", 30809 "twin", 30810 "twine", 30811 "twinkle", 30812 "twirl", 30813 "twist", 30814 "twitch", 30815 "twitter", 30816 "twittering", 30817 "type", 30818 "typecast", 30819 "typeset", 30820 "typify", 30821 "tyrannise", 30822 "tyrannize", 30823 "ulcerate", 30824 "ululate", 30825 "ump", 30826 "umpire", 30827 "unbalance", 30828 "unban", 30829 "unbend", 30830 "unblock", 30831 "unbuckle", 30832 "unburden", 30833 "unbutton", 30834 "uncoil", 30835 "uncork", 30836 "uncouple", 30837 "uncover", 30838 "uncurl", 30839 "undelete", 30840 "underachieve", 30841 "underbid", 30842 "undercharge", 30843 "undercook", 30844 "undercut", 30845 "underestimate", 30846 "underestimation", 30847 "underexpose", 30848 "undergo", 30849 "underlie", 30850 "underline", 30851 "undermine", 30852 "underpay", 30853 "underperform", 30854 "underpin", 30855 "underplay", 30856 "underrate", 30857 "underscore", 30858 "undersell", 30859 "undershoot", 30860 "underspend", 30861 "understand", 30862 "understate", 30863 "understudy", 30864 "undertake", 30865 "undervalue", 30866 "underwrite", 30867 "undo", 30868 "undock", 30869 "undress", 30870 "undulate", 30871 "unearth", 30872 "unfasten", 30873 "unfold", 30874 "unfreeze", 30875 "unfurl", 30876 "unhand", 30877 "unhinge", 30878 "unhitch", 30879 "unhook", 30880 "unify", 30881 "uninstall", 30882 "unionise", 30883 "unionize", 30884 "unite", 30885 "unlace", 30886 "unlearn", 30887 "unleash", 30888 "unload", 30889 "unlock", 30890 "unloose", 30891 "unloosen", 30892 "unmask", 30893 "unnerve", 30894 "unpack", 30895 "unpick", 30896 "unplug", 30897 "unravel", 30898 "unroll", 30899 "unsaddle", 30900 "unscramble", 30901 "unscrew", 30902 "unseat", 30903 "unsettle", 30904 "unsubscribe", 30905 "untangle", 30906 "untie", 30907 "unveil", 30908 "unwind", 30909 "unwrap", 30910 "unzip", 30911 "up", 30912 "upbraid", 30913 "upchange", 30914 "upchuck", 30915 "update", 30916 "upend", 30917 "upgrade", 30918 "uphold", 30919 "upholster", 30920 "uplift", 30921 "upload", 30922 "uproot", 30923 "upsell", 30924 "upset", 30925 "upshift", 30926 "upskill", 30927 "upstage", 30928 "urge", 30929 "urinate", 30930 "use", 30931 "usher", 30932 "usurp", 30933 "utilise", 30934 "utilize", 30935 "utter", 30936 "vacate", 30937 "vacation", 30938 "vaccinate", 30939 "vacillate", 30940 "vacuum", 30941 "valet", 30942 "validate", 30943 "value", 30944 "vamoose", 30945 "vandalise", 30946 "vandalize", 30947 "vanish", 30948 "vanquish", 30949 "vaporise", 30950 "vaporize", 30951 "varnish", 30952 "vary", 30953 "vault", 30954 "veer", 30955 "veg", 30956 "vegetate", 30957 "veil", 30958 "vend", 30959 "veneer", 30960 "venerate", 30961 "vent", 30962 "ventilate", 30963 "venture", 30964 "verbalise", 30965 "verbalize", 30966 "verge", 30967 "verify", 30968 "versify", 30969 "vest", 30970 "vet", 30971 "veto", 30972 "vex", 30973 "vibrate", 30974 "victimise", 30975 "victimize", 30976 "vide", 30977 "video", 30978 "videotape", 30979 "vie", 30980 "view", 30981 "viewing", 30982 "vilify", 30983 "vindicate", 30984 "violate", 30985 "visit", 30986 "visualise", 30987 "visualize", 30988 "vitiate", 30989 "vitrify", 30990 "vocalize", 30991 "voice", 30992 "void", 30993 "volley", 30994 "volumise", 30995 "volumize", 30996 "volunteer", 30997 "vomit", 30998 "vote", 30999 "vouch", 31000 "vouchsafe", 31001 "vow", 31002 "voyage", 31003 "vulgarise", 31004 "vulgarize", 31005 "wad", 31006 "waddle", 31007 "wade", 31008 "waffle", 31009 "waft", 31010 "wag", 31011 "wage", 31012 "wager", 31013 "waggle", 31014 "wail", 31015 "wait", 31016 "waive", 31017 "wake", 31018 "wakeboard", 31019 "waken", 31020 "walk", 31021 "wall", 31022 "wallop", 31023 "wallow", 31024 "wallpaper", 31025 "waltz", 31026 "wander", 31027 "wane", 31028 "wangle", 31029 "wank", 31030 "want", 31031 "warble", 31032 "ward", 31033 "warm", 31034 "warn", 31035 "warp", 31036 "warrant", 31037 "wash", 31038 "wassail", 31039 "waste", 31040 "watch", 31041 "water", 31042 "waterproof", 31043 "waterski", 31044 "wave", 31045 "waver", 31046 "wax", 31047 "waylay", 31048 "weaken", 31049 "wean", 31050 "weaponise", 31051 "weaponize", 31052 "wear", 31053 "weary", 31054 "weasel", 31055 "weather", 31056 "weatherise", 31057 "weatherize", 31058 "weave", 31059 "wed", 31060 "wedge", 31061 "wee", 31062 "weed", 31063 "weekend", 31064 "weep", 31065 "weigh", 31066 "weight", 31067 "weird", 31068 "welch", 31069 "welcome", 31070 "weld", 31071 "well", 31072 "welly", 31073 "welsh", 31074 "wend", 31075 "westernise", 31076 "westernize", 31077 "wet", 31078 "whack", 31079 "wheedle", 31080 "wheel", 31081 "wheeze", 31082 "whelp", 31083 "whet", 31084 "whiff", 31085 "while", 31086 "whilst", 31087 "whimper", 31088 "whine", 31089 "whinge", 31090 "whinny", 31091 "whip", 31092 "whirl", 31093 "whirr", 31094 "whirring", 31095 "whisk", 31096 "whisper", 31097 "whispering", 31098 "whistle", 31099 "whiten", 31100 "whitewash", 31101 "whittle", 31102 "whiz", 31103 "whizz", 31104 "whoop", 31105 "whoosh", 31106 "whup", 31107 "wick", 31108 "widen", 31109 "widow", 31110 "wield", 31111 "wig", 31112 "wiggle", 31113 "wildcat", 31114 "will", 31115 "wilt", 31116 "wimp", 31117 "win", 31118 "wince", 31119 "winch", 31120 "wind", 31121 "winds", 31122 "windsurf", 31123 "wine", 31124 "wing", 31125 "wink", 31126 "winkle", 31127 "winnow", 31128 "winter", 31129 "wipe", 31130 "wire", 31131 "wiretap", 31132 "wise", 31133 "wisecrack", 31134 "wish", 31135 "withdraw", 31136 "wither", 31137 "withhold", 31138 "withstand", 31139 "witness", 31140 "witter", 31141 "wobble", 31142 "wolf", 31143 "wonder", 31144 "woo", 31145 "woof", 31146 "word", 31147 "work", 31148 "worm", 31149 "worry", 31150 "worsen", 31151 "worship", 31152 "worst", 31153 "wound", 31154 "wow", 31155 "wowee", 31156 "wrangle", 31157 "wrap", 31158 "wreak", 31159 "wreathe", 31160 "wreck", 31161 "wrench", 31162 "wrest", 31163 "wrestle", 31164 "wriggle", 31165 "wring", 31166 "wrinkle", 31167 "writ", 31168 "write", 31169 "writhe", 31170 "wrong", 31171 "wrought", 31172 "xerox", 31173 "yack", 31174 "yak", 31175 "yank", 31176 "yap", 31177 "yaw", 31178 "yawn", 31179 "yearn", 31180 "yell", 31181 "yellow", 31182 "yelp", 31183 "yield", 31184 "yodel", 31185 "yoke", 31186 "yomp", 31187 "yowl", 31188 "yuppify", 31189 "zap", 31190 "zero", 31191 "zigzag", 31192 "zing", 31193 "zip", 31194 "zone", 31195 "zoom" 31196 ]; 31197 return choice(data, this.rnd); 31198 } 31199 31200 /// 31201 string phoneNumberFormats() { 31202 auto data = [ 31203 "!##-!##-####", 31204 "(!##) !##-####", 31205 "1-!##-!##-####", 31206 "!##.!##.####", 31207 "!##-!##-####", 31208 "(!##) !##-####", 31209 "1-!##-!##-####", 31210 "!##.!##.####", 31211 "!##-!##-#### x###", 31212 "(!##) !##-#### x###", 31213 "1-!##-!##-#### x###", 31214 "!##.!##.#### x###", 31215 "!##-!##-#### x####", 31216 "(!##) !##-#### x####", 31217 "1-!##-!##-#### x####", 31218 "!##.!##.#### x####", 31219 "!##-!##-#### x#####", 31220 "(!##) !##-#### x#####", 31221 "1-!##-!##-#### x#####", 31222 "!##.!##.#### x#####" 31223 ]; 31224 return this.digitBuild(choice(data, this.rnd)); 31225 } 31226 31227 /// 31228 string cellPhoneFormats() { 31229 auto data = [ 31230 "###-###-####", 31231 "(###) ###-####", 31232 "1-###-###-####", 31233 "###.###.####" 31234 ]; 31235 return this.digitBuild(choice(data, this.rnd)); 31236 } 31237 31238 /// 31239 string vehicleFuel() { 31240 auto data = [ 31241 "Diesel", 31242 "Electric", 31243 "Gasoline", 31244 "Hybrid'" 31245 ]; 31246 return choice(data, this.rnd); 31247 } 31248 31249 /// 31250 string vehicleType() { 31251 auto data = [ 31252 "Cargo Van", 31253 "Convertible", 31254 "Coupe", 31255 "Crew Cab Pickup", 31256 "Extended Cab Pickup", 31257 "Hatchback", 31258 "Minivan", 31259 "Passenger Van", 31260 "SUV", 31261 "Sedan", 31262 "Wagon" 31263 ]; 31264 return choice(data, this.rnd); 31265 } 31266 31267 /// 31268 string vehicleManufacturer() { 31269 auto data = [ 31270 "Aston Martin", 31271 "Audi", 31272 "Bentley", 31273 "BMW", 31274 "Bugatti", 31275 "Cadillac", 31276 "Chevrolet", 31277 "Chrysler", 31278 "Dodge", 31279 "Ferrari", 31280 "Fiat", 31281 "Ford", 31282 "Honda", 31283 "Hyundai", 31284 "Jaguar", 31285 "Jeep", 31286 "Kia", 31287 "Lamborghini", 31288 "Land Rover", 31289 "Maserati", 31290 "Mazda", 31291 "Mercedes Benz", 31292 "Mini", 31293 "Nissan", 31294 "Polestar", 31295 "Porsche", 31296 "Rolls Royce", 31297 "Smart", 31298 "Tesla", 31299 "Toyota", 31300 "Volkswagen", 31301 "Volvo" 31302 ]; 31303 return choice(data, this.rnd); 31304 } 31305 31306 /// 31307 string vehicleBicycleType() { 31308 auto data = [ 31309 "Adventure Road Bicycle", 31310 "BMX Bicycle", 31311 "City Bicycle", 31312 "Cruiser Bicycle", 31313 "Cyclocross Bicycle", 31314 "Dual-Sport Bicycle", 31315 "Fitness Bicycle", 31316 "Flat-Foot Comfort Bicycle", 31317 "Folding Bicycle", 31318 "Hybrid Bicycle", 31319 "Mountain Bicycle", 31320 "Recumbent Bicycle", 31321 "Road Bicycle", 31322 "Tandem Bicycle", 31323 "Touring Bicycle", 31324 "Track/Fixed-Gear Bicycle", 31325 "Triathlon/Time Trial Bicycle", 31326 "Tricycle" 31327 ]; 31328 return choice(data, this.rnd); 31329 } 31330 31331 /// 31332 string vehicleModel() { 31333 auto data = [ 31334 "Fiesta", 31335 "Focus", 31336 "Taurus", 31337 "Mustang", 31338 "Explorer", 31339 "Expedition", 31340 "F-150", 31341 "Model T", 31342 "Ranchero", 31343 "Volt", 31344 "Cruze", 31345 "Malibu", 31346 "Impala", 31347 "Camaro", 31348 "Corvette", 31349 "Colorado", 31350 "Silverado", 31351 "El Camino", 31352 "CTS", 31353 "XTS", 31354 "ATS", 31355 "Escalade", 31356 "Alpine", 31357 "Charger", 31358 "LeBaron", 31359 "PT Cruiser", 31360 "Challenger", 31361 "Durango", 31362 "Grand Caravan", 31363 "Wrangler", 31364 "Grand Cherokee", 31365 "Roadster", 31366 "Model S", 31367 "Model 3", 31368 "Model X", 31369 "Model Y", 31370 "Camry", 31371 "Prius", 31372 "Land Cruiser", 31373 "Accord", 31374 "Civic", 31375 "Element", 31376 "Sentra", 31377 "Altima", 31378 "A8", 31379 "A4", 31380 "Beetle", 31381 "Jetta", 31382 "Golf", 31383 "911", 31384 "Spyder", 31385 "Countach", 31386 "Mercielago", 31387 "Aventador", 31388 "1", 31389 "2", 31390 "Fortwo", 31391 "V90", 31392 "XC90", 31393 "CX-9" 31394 ]; 31395 return choice(data, this.rnd); 31396 } 31397 31398 /// 31399 string businessCreditCardExpiryDates() { 31400 auto data = [ 31401 "2011-10-12", 31402 "2012-11-12", 31403 "2015-11-11", 31404 "2013-9-12'" 31405 ]; 31406 return choice(data, this.rnd); 31407 } 31408 31409 /// 31410 string businessCreditCardTypes() { 31411 auto data = [ 31412 "visa", 31413 "mastercard", 31414 "americanexpress", 31415 "discover'" 31416 ]; 31417 return choice(data, this.rnd); 31418 } 31419 31420 /// 31421 string businessCreditCardNumbers() { 31422 auto data = [ 31423 "1234-2121-1221-1211", 31424 "1212-1221-1121-1234", 31425 "1211-1221-1234-2201", 31426 "1228-1221-1221-1431" 31427 ]; 31428 return choice(data, this.rnd); 31429 } 31430 31431 /// 31432 string internetFreeEmail() { 31433 auto data = [ 31434 "gmail.com", 31435 "yahoo.com", 31436 "hotmail.com'" 31437 ]; 31438 return choice(data, this.rnd); 31439 } 31440 31441 31442 string internetEmoji() { 31443 final switch(uniform(0, 3529, this.rnd)) { 31444 case 0: return "smiley: ["; 31445 case 1: return "😀"; 31446 case 2: return "😃"; 31447 case 3: return "😄"; 31448 case 4: return "😁"; 31449 case 5: return "😆"; 31450 case 6: return "😅"; 31451 case 7: return "🤣"; 31452 case 8: return "😂"; 31453 case 9: return "🙂"; 31454 case 10: return "🙃"; 31455 case 11: return "😉"; 31456 case 12: return "😊"; 31457 case 13: return "😇"; 31458 case 14: return "🥰"; 31459 case 15: return "😍"; 31460 case 16: return "🤩"; 31461 case 17: return "😘"; 31462 case 18: return "😗"; 31463 case 19: return "☺️"; 31464 case 20: return "😚"; 31465 case 21: return "😙"; 31466 case 22: return "🥲"; 31467 case 23: return "😋"; 31468 case 24: return "😛"; 31469 case 25: return "😜"; 31470 case 26: return "🤪"; 31471 case 27: return "😝"; 31472 case 28: return "🤑"; 31473 case 29: return "🤗"; 31474 case 30: return "🤭"; 31475 case 31: return "🤫"; 31476 case 32: return "🤔"; 31477 case 33: return "🤐"; 31478 case 34: return "🤨"; 31479 case 35: return "😐"; 31480 case 36: return "😑"; 31481 case 37: return "😶"; 31482 case 38: return "😶🌫️"; 31483 case 39: return "😏"; 31484 case 40: return "😒"; 31485 case 41: return "🙄"; 31486 case 42: return "😬"; 31487 case 43: return "😮💨"; 31488 case 44: return "🤥"; 31489 case 45: return "😌"; 31490 case 46: return "😔"; 31491 case 47: return "😪"; 31492 case 48: return "🤤"; 31493 case 49: return "😴"; 31494 case 50: return "😷"; 31495 case 51: return "🤒"; 31496 case 52: return "🤕"; 31497 case 53: return "🤢"; 31498 case 54: return "🤮"; 31499 case 55: return "🤧"; 31500 case 56: return "🥵"; 31501 case 57: return "🥶"; 31502 case 58: return "🥴"; 31503 case 59: return "😵"; 31504 case 60: return "😵💫"; 31505 case 61: return "🤯"; 31506 case 62: return "🤠"; 31507 case 63: return "🥳"; 31508 case 64: return "🥸"; 31509 case 65: return "😎"; 31510 case 66: return "🤓"; 31511 case 67: return "🧐"; 31512 case 68: return "😕"; 31513 case 69: return "😟"; 31514 case 70: return "🙁"; 31515 case 71: return "☹️"; 31516 case 72: return "😮"; 31517 case 73: return "😯"; 31518 case 74: return "😲"; 31519 case 75: return "😳"; 31520 case 76: return "🥺"; 31521 case 77: return "😦"; 31522 case 78: return "😧"; 31523 case 79: return "😨"; 31524 case 80: return "😰"; 31525 case 81: return "😥"; 31526 case 82: return "😢"; 31527 case 83: return "😭"; 31528 case 84: return "😱"; 31529 case 85: return "😖"; 31530 case 86: return "😣"; 31531 case 87: return "😞"; 31532 case 88: return "😓"; 31533 case 89: return "😩"; 31534 case 90: return "😫"; 31535 case 91: return "🥱"; 31536 case 92: return "😤"; 31537 case 93: return "😡"; 31538 case 94: return "😠"; 31539 case 95: return "🤬"; 31540 case 96: return "😈"; 31541 case 97: return "👿"; 31542 case 98: return "💀"; 31543 case 99: return "☠️"; 31544 case 100: return "💩"; 31545 case 101: return "🤡"; 31546 case 102: return "👹"; 31547 case 103: return "👺"; 31548 case 104: return "👻"; 31549 case 105: return "👽"; 31550 case 106: return "👾"; 31551 case 107: return "🤖"; 31552 case 108: return "😺"; 31553 case 109: return "😸"; 31554 case 110: return "😹"; 31555 case 111: return "😻"; 31556 case 112: return "😼"; 31557 case 113: return "😽"; 31558 case 114: return "🙀"; 31559 case 115: return "😿"; 31560 case 116: return "😾"; 31561 case 117: return "🙈"; 31562 case 118: return "🙉"; 31563 case 119: return "🙊"; 31564 case 120: return "💋"; 31565 case 121: return "💌"; 31566 case 122: return "💘"; 31567 case 123: return "💝"; 31568 case 124: return "💖"; 31569 case 125: return "💗"; 31570 case 126: return "💓"; 31571 case 127: return "💞"; 31572 case 128: return "💕"; 31573 case 129: return "💟"; 31574 case 130: return "❣️"; 31575 case 131: return "💔"; 31576 case 132: return "❤️🔥"; 31577 case 133: return "❤️🩹"; 31578 case 134: return "❤️"; 31579 case 135: return "🧡"; 31580 case 136: return "💛"; 31581 case 137: return "💚"; 31582 case 138: return "💙"; 31583 case 139: return "💜"; 31584 case 140: return "🤎"; 31585 case 141: return "🖤"; 31586 case 142: return "🤍"; 31587 case 143: return "💯"; 31588 case 144: return "💢"; 31589 case 145: return "💥"; 31590 case 146: return "💫"; 31591 case 147: return "💦"; 31592 case 148: return "💨"; 31593 case 149: return "🕳️"; 31594 case 150: return "💣"; 31595 case 151: return "💬"; 31596 case 152: return "👁️🗨️"; 31597 case 153: return "🗨️"; 31598 case 154: return "🗯️"; 31599 case 155: return "💭"; 31600 case 156: return "💤"; 31601 case 157: return "]"; 31602 case 158: return "body: ["; 31603 case 159: return "👋"; 31604 case 160: return "👋🏻"; 31605 case 161: return "👋🏼"; 31606 case 162: return "👋🏽"; 31607 case 163: return "👋🏾"; 31608 case 164: return "👋🏿"; 31609 case 165: return "🤚"; 31610 case 166: return "🤚🏻"; 31611 case 167: return "🤚🏼"; 31612 case 168: return "🤚🏽"; 31613 case 169: return "🤚🏾"; 31614 case 170: return "🤚🏿"; 31615 case 171: return "🖐️"; 31616 case 172: return "🖐🏻"; 31617 case 173: return "🖐🏼"; 31618 case 174: return "🖐🏽"; 31619 case 175: return "🖐🏾"; 31620 case 176: return "🖐🏿"; 31621 case 177: return "✋"; 31622 case 178: return "✋🏻"; 31623 case 179: return "✋🏼"; 31624 case 180: return "✋🏽"; 31625 case 181: return "✋🏾"; 31626 case 182: return "✋🏿"; 31627 case 183: return "🖖"; 31628 case 184: return "🖖🏻"; 31629 case 185: return "🖖🏼"; 31630 case 186: return "🖖🏽"; 31631 case 187: return "🖖🏾"; 31632 case 188: return "🖖🏿"; 31633 case 189: return "👌"; 31634 case 190: return "👌🏻"; 31635 case 191: return "👌🏼"; 31636 case 192: return "👌🏽"; 31637 case 193: return "👌🏾"; 31638 case 194: return "👌🏿"; 31639 case 195: return "🤌"; 31640 case 196: return "🤌🏻"; 31641 case 197: return "🤌🏼"; 31642 case 198: return "🤌🏽"; 31643 case 199: return "🤌🏾"; 31644 case 200: return "🤌🏿"; 31645 case 201: return "🤏"; 31646 case 202: return "🤏🏻"; 31647 case 203: return "🤏🏼"; 31648 case 204: return "🤏🏽"; 31649 case 205: return "🤏🏾"; 31650 case 206: return "🤏🏿"; 31651 case 207: return "✌️"; 31652 case 208: return "✌🏻"; 31653 case 209: return "✌🏼"; 31654 case 210: return "✌🏽"; 31655 case 211: return "✌🏾"; 31656 case 212: return "✌🏿"; 31657 case 213: return "🤞"; 31658 case 214: return "🤞🏻"; 31659 case 215: return "🤞🏼"; 31660 case 216: return "🤞🏽"; 31661 case 217: return "🤞🏾"; 31662 case 218: return "🤞🏿"; 31663 case 219: return "🤟"; 31664 case 220: return "🤟🏻"; 31665 case 221: return "🤟🏼"; 31666 case 222: return "🤟🏽"; 31667 case 223: return "🤟🏾"; 31668 case 224: return "🤟🏿"; 31669 case 225: return "🤘"; 31670 case 226: return "🤘🏻"; 31671 case 227: return "🤘🏼"; 31672 case 228: return "🤘🏽"; 31673 case 229: return "🤘🏾"; 31674 case 230: return "🤘🏿"; 31675 case 231: return "🤙"; 31676 case 232: return "🤙🏻"; 31677 case 233: return "🤙🏼"; 31678 case 234: return "🤙🏽"; 31679 case 235: return "🤙🏾"; 31680 case 236: return "🤙🏿"; 31681 case 237: return "👈"; 31682 case 238: return "👈🏻"; 31683 case 239: return "👈🏼"; 31684 case 240: return "👈🏽"; 31685 case 241: return "👈🏾"; 31686 case 242: return "👈🏿"; 31687 case 243: return "👉"; 31688 case 244: return "👉🏻"; 31689 case 245: return "👉🏼"; 31690 case 246: return "👉🏽"; 31691 case 247: return "👉🏾"; 31692 case 248: return "👉🏿"; 31693 case 249: return "👆"; 31694 case 250: return "👆🏻"; 31695 case 251: return "👆🏼"; 31696 case 252: return "👆🏽"; 31697 case 253: return "👆🏾"; 31698 case 254: return "👆🏿"; 31699 case 255: return "🖕"; 31700 case 256: return "🖕🏻"; 31701 case 257: return "🖕🏼"; 31702 case 258: return "🖕🏽"; 31703 case 259: return "🖕🏾"; 31704 case 260: return "🖕🏿"; 31705 case 261: return "👇"; 31706 case 262: return "👇🏻"; 31707 case 263: return "👇🏼"; 31708 case 264: return "👇🏽"; 31709 case 265: return "👇🏾"; 31710 case 266: return "👇🏿"; 31711 case 267: return "☝️"; 31712 case 268: return "☝🏻"; 31713 case 269: return "☝🏼"; 31714 case 270: return "☝🏽"; 31715 case 271: return "☝🏾"; 31716 case 272: return "☝🏿"; 31717 case 273: return "👍"; 31718 case 274: return "👍🏻"; 31719 case 275: return "👍🏼"; 31720 case 276: return "👍🏽"; 31721 case 277: return "👍🏾"; 31722 case 278: return "👍🏿"; 31723 case 279: return "👎"; 31724 case 280: return "👎🏻"; 31725 case 281: return "👎🏼"; 31726 case 282: return "👎🏽"; 31727 case 283: return "👎🏾"; 31728 case 284: return "👎🏿"; 31729 case 285: return "✊"; 31730 case 286: return "✊🏻"; 31731 case 287: return "✊🏼"; 31732 case 288: return "✊🏽"; 31733 case 289: return "✊🏾"; 31734 case 290: return "✊🏿"; 31735 case 291: return "👊"; 31736 case 292: return "👊🏻"; 31737 case 293: return "👊🏼"; 31738 case 294: return "👊🏽"; 31739 case 295: return "👊🏾"; 31740 case 296: return "👊🏿"; 31741 case 297: return "🤛"; 31742 case 298: return "🤛🏻"; 31743 case 299: return "🤛🏼"; 31744 case 300: return "🤛🏽"; 31745 case 301: return "🤛🏾"; 31746 case 302: return "🤛🏿"; 31747 case 303: return "🤜"; 31748 case 304: return "🤜🏻"; 31749 case 305: return "🤜🏼"; 31750 case 306: return "🤜🏽"; 31751 case 307: return "🤜🏾"; 31752 case 308: return "🤜🏿"; 31753 case 309: return "👏"; 31754 case 310: return "👏🏻"; 31755 case 311: return "👏🏼"; 31756 case 312: return "👏🏽"; 31757 case 313: return "👏🏾"; 31758 case 314: return "👏🏿"; 31759 case 315: return "🙌"; 31760 case 316: return "🙌🏻"; 31761 case 317: return "🙌🏼"; 31762 case 318: return "🙌🏽"; 31763 case 319: return "🙌🏾"; 31764 case 320: return "🙌🏿"; 31765 case 321: return "👐"; 31766 case 322: return "👐🏻"; 31767 case 323: return "👐🏼"; 31768 case 324: return "👐🏽"; 31769 case 325: return "👐🏾"; 31770 case 326: return "👐🏿"; 31771 case 327: return "🤲"; 31772 case 328: return "🤲🏻"; 31773 case 329: return "🤲🏼"; 31774 case 330: return "🤲🏽"; 31775 case 331: return "🤲🏾"; 31776 case 332: return "🤲🏿"; 31777 case 333: return "🤝"; 31778 case 334: return "🙏"; 31779 case 335: return "🙏🏻"; 31780 case 336: return "🙏🏼"; 31781 case 337: return "🙏🏽"; 31782 case 338: return "🙏🏾"; 31783 case 339: return "🙏🏿"; 31784 case 340: return "✍️"; 31785 case 341: return "✍🏻"; 31786 case 342: return "✍🏼"; 31787 case 343: return "✍🏽"; 31788 case 344: return "✍🏾"; 31789 case 345: return "✍🏿"; 31790 case 346: return "💅"; 31791 case 347: return "💅🏻"; 31792 case 348: return "💅🏼"; 31793 case 349: return "💅🏽"; 31794 case 350: return "💅🏾"; 31795 case 351: return "💅🏿"; 31796 case 352: return "🤳"; 31797 case 353: return "🤳🏻"; 31798 case 354: return "🤳🏼"; 31799 case 355: return "🤳🏽"; 31800 case 356: return "🤳🏾"; 31801 case 357: return "🤳🏿"; 31802 case 358: return "💪"; 31803 case 359: return "💪🏻"; 31804 case 360: return "💪🏼"; 31805 case 361: return "💪🏽"; 31806 case 362: return "💪🏾"; 31807 case 363: return "💪🏿"; 31808 case 364: return "🦾"; 31809 case 365: return "🦿"; 31810 case 366: return "🦵"; 31811 case 367: return "🦵🏻"; 31812 case 368: return "🦵🏼"; 31813 case 369: return "🦵🏽"; 31814 case 370: return "🦵🏾"; 31815 case 371: return "🦵🏿"; 31816 case 372: return "🦶"; 31817 case 373: return "🦶🏻"; 31818 case 374: return "🦶🏼"; 31819 case 375: return "🦶🏽"; 31820 case 376: return "🦶🏾"; 31821 case 377: return "🦶🏿"; 31822 case 378: return "👂"; 31823 case 379: return "👂🏻"; 31824 case 380: return "👂🏼"; 31825 case 381: return "👂🏽"; 31826 case 382: return "👂🏾"; 31827 case 383: return "👂🏿"; 31828 case 384: return "🦻"; 31829 case 385: return "🦻🏻"; 31830 case 386: return "🦻🏼"; 31831 case 387: return "🦻🏽"; 31832 case 388: return "🦻🏾"; 31833 case 389: return "🦻🏿"; 31834 case 390: return "👃"; 31835 case 391: return "👃🏻"; 31836 case 392: return "👃🏼"; 31837 case 393: return "👃🏽"; 31838 case 394: return "👃🏾"; 31839 case 395: return "👃🏿"; 31840 case 396: return "🧠"; 31841 case 397: return "🫀"; 31842 case 398: return "🫁"; 31843 case 399: return "🦷"; 31844 case 400: return "🦴"; 31845 case 401: return "👀"; 31846 case 402: return "👁️"; 31847 case 403: return "👅"; 31848 case 404: return "👄"; 31849 case 405: return "]"; 31850 case 406: return "person: ["; 31851 case 407: return "👶"; 31852 case 408: return "👶🏻"; 31853 case 409: return "👶🏼"; 31854 case 410: return "👶🏽"; 31855 case 411: return "👶🏾"; 31856 case 412: return "👶🏿"; 31857 case 413: return "🧒"; 31858 case 414: return "🧒🏻"; 31859 case 415: return "🧒🏼"; 31860 case 416: return "🧒🏽"; 31861 case 417: return "🧒🏾"; 31862 case 418: return "🧒🏿"; 31863 case 419: return "👦"; 31864 case 420: return "👦🏻"; 31865 case 421: return "👦🏼"; 31866 case 422: return "👦🏽"; 31867 case 423: return "👦🏾"; 31868 case 424: return "👦🏿"; 31869 case 425: return "👧"; 31870 case 426: return "👧🏻"; 31871 case 427: return "👧🏼"; 31872 case 428: return "👧🏽"; 31873 case 429: return "👧🏾"; 31874 case 430: return "👧🏿"; 31875 case 431: return "🧑"; 31876 case 432: return "🧑🏻"; 31877 case 433: return "🧑🏼"; 31878 case 434: return "🧑🏽"; 31879 case 435: return "🧑🏾"; 31880 case 436: return "🧑🏿"; 31881 case 437: return "👱"; 31882 case 438: return "👱🏻"; 31883 case 439: return "👱🏼"; 31884 case 440: return "👱🏽"; 31885 case 441: return "👱🏾"; 31886 case 442: return "👱🏿"; 31887 case 443: return "👨"; 31888 case 444: return "👨🏻"; 31889 case 445: return "👨🏼"; 31890 case 446: return "👨🏽"; 31891 case 447: return "👨🏾"; 31892 case 448: return "👨🏿"; 31893 case 449: return "🧔"; 31894 case 450: return "🧔🏻"; 31895 case 451: return "🧔🏼"; 31896 case 452: return "🧔🏽"; 31897 case 453: return "🧔🏾"; 31898 case 454: return "🧔🏿"; 31899 case 455: return "🧔♂️"; 31900 case 456: return "🧔🏻♂️"; 31901 case 457: return "🧔🏼♂️"; 31902 case 458: return "🧔🏽♂️"; 31903 case 459: return "🧔🏾♂️"; 31904 case 460: return "🧔🏿♂️"; 31905 case 461: return "🧔♀️"; 31906 case 462: return "🧔🏻♀️"; 31907 case 463: return "🧔🏼♀️"; 31908 case 464: return "🧔🏽♀️"; 31909 case 465: return "🧔🏾♀️"; 31910 case 466: return "🧔🏿♀️"; 31911 case 467: return "👨🦰"; 31912 case 468: return "👨🏻🦰"; 31913 case 469: return "👨🏼🦰"; 31914 case 470: return "👨🏽🦰"; 31915 case 471: return "👨🏾🦰"; 31916 case 472: return "👨🏿🦰"; 31917 case 473: return "👨🦱"; 31918 case 474: return "👨🏻🦱"; 31919 case 475: return "👨🏼🦱"; 31920 case 476: return "👨🏽🦱"; 31921 case 477: return "👨🏾🦱"; 31922 case 478: return "👨🏿🦱"; 31923 case 479: return "👨🦳"; 31924 case 480: return "👨🏻🦳"; 31925 case 481: return "👨🏼🦳"; 31926 case 482: return "👨🏽🦳"; 31927 case 483: return "👨🏾🦳"; 31928 case 484: return "👨🏿🦳"; 31929 case 485: return "👨🦲"; 31930 case 486: return "👨🏻🦲"; 31931 case 487: return "👨🏼🦲"; 31932 case 488: return "👨🏽🦲"; 31933 case 489: return "👨🏾🦲"; 31934 case 490: return "👨🏿🦲"; 31935 case 491: return "👩"; 31936 case 492: return "👩🏻"; 31937 case 493: return "👩🏼"; 31938 case 494: return "👩🏽"; 31939 case 495: return "👩🏾"; 31940 case 496: return "👩🏿"; 31941 case 497: return "👩🦰"; 31942 case 498: return "👩🏻🦰"; 31943 case 499: return "👩🏼🦰"; 31944 case 500: return "👩🏽🦰"; 31945 case 501: return "👩🏾🦰"; 31946 case 502: return "👩🏿🦰"; 31947 case 503: return "🧑🦰"; 31948 case 504: return "🧑🏻🦰"; 31949 case 505: return "🧑🏼🦰"; 31950 case 506: return "🧑🏽🦰"; 31951 case 507: return "🧑🏾🦰"; 31952 case 508: return "🧑🏿🦰"; 31953 case 509: return "👩🦱"; 31954 case 510: return "👩🏻🦱"; 31955 case 511: return "👩🏼🦱"; 31956 case 512: return "👩🏽🦱"; 31957 case 513: return "👩🏾🦱"; 31958 case 514: return "👩🏿🦱"; 31959 case 515: return "🧑🦱"; 31960 case 516: return "🧑🏻🦱"; 31961 case 517: return "🧑🏼🦱"; 31962 case 518: return "🧑🏽🦱"; 31963 case 519: return "🧑🏾🦱"; 31964 case 520: return "🧑🏿🦱"; 31965 case 521: return "👩🦳"; 31966 case 522: return "👩🏻🦳"; 31967 case 523: return "👩🏼🦳"; 31968 case 524: return "👩🏽🦳"; 31969 case 525: return "👩🏾🦳"; 31970 case 526: return "👩🏿🦳"; 31971 case 527: return "🧑🦳"; 31972 case 528: return "🧑🏻🦳"; 31973 case 529: return "🧑🏼🦳"; 31974 case 530: return "🧑🏽🦳"; 31975 case 531: return "🧑🏾🦳"; 31976 case 532: return "🧑🏿🦳"; 31977 case 533: return "👩🦲"; 31978 case 534: return "👩🏻🦲"; 31979 case 535: return "👩🏼🦲"; 31980 case 536: return "👩🏽🦲"; 31981 case 537: return "👩🏾🦲"; 31982 case 538: return "👩🏿🦲"; 31983 case 539: return "🧑🦲"; 31984 case 540: return "🧑🏻🦲"; 31985 case 541: return "🧑🏼🦲"; 31986 case 542: return "🧑🏽🦲"; 31987 case 543: return "🧑🏾🦲"; 31988 case 544: return "🧑🏿🦲"; 31989 case 545: return "👱♀️"; 31990 case 546: return "👱🏻♀️"; 31991 case 547: return "👱🏼♀️"; 31992 case 548: return "👱🏽♀️"; 31993 case 549: return "👱🏾♀️"; 31994 case 550: return "👱🏿♀️"; 31995 case 551: return "👱♂️"; 31996 case 552: return "👱🏻♂️"; 31997 case 553: return "👱🏼♂️"; 31998 case 554: return "👱🏽♂️"; 31999 case 555: return "👱🏾♂️"; 32000 case 556: return "👱🏿♂️"; 32001 case 557: return "🧓"; 32002 case 558: return "🧓🏻"; 32003 case 559: return "🧓🏼"; 32004 case 560: return "🧓🏽"; 32005 case 561: return "🧓🏾"; 32006 case 562: return "🧓🏿"; 32007 case 563: return "👴"; 32008 case 564: return "👴🏻"; 32009 case 565: return "👴🏼"; 32010 case 566: return "👴🏽"; 32011 case 567: return "👴🏾"; 32012 case 568: return "👴🏿"; 32013 case 569: return "👵"; 32014 case 570: return "👵🏻"; 32015 case 571: return "👵🏼"; 32016 case 572: return "👵🏽"; 32017 case 573: return "👵🏾"; 32018 case 574: return "👵🏿"; 32019 case 575: return "🙍"; 32020 case 576: return "🙍🏻"; 32021 case 577: return "🙍🏼"; 32022 case 578: return "🙍🏽"; 32023 case 579: return "🙍🏾"; 32024 case 580: return "🙍🏿"; 32025 case 581: return "🙍♂️"; 32026 case 582: return "🙍🏻♂️"; 32027 case 583: return "🙍🏼♂️"; 32028 case 584: return "🙍🏽♂️"; 32029 case 585: return "🙍🏾♂️"; 32030 case 586: return "🙍🏿♂️"; 32031 case 587: return "🙍♀️"; 32032 case 588: return "🙍🏻♀️"; 32033 case 589: return "🙍🏼♀️"; 32034 case 590: return "🙍🏽♀️"; 32035 case 591: return "🙍🏾♀️"; 32036 case 592: return "🙍🏿♀️"; 32037 case 593: return "🙎"; 32038 case 594: return "🙎🏻"; 32039 case 595: return "🙎🏼"; 32040 case 596: return "🙎🏽"; 32041 case 597: return "🙎🏾"; 32042 case 598: return "🙎🏿"; 32043 case 599: return "🙎♂️"; 32044 case 600: return "🙎🏻♂️"; 32045 case 601: return "🙎🏼♂️"; 32046 case 602: return "🙎🏽♂️"; 32047 case 603: return "🙎🏾♂️"; 32048 case 604: return "🙎🏿♂️"; 32049 case 605: return "🙎♀️"; 32050 case 606: return "🙎🏻♀️"; 32051 case 607: return "🙎🏼♀️"; 32052 case 608: return "🙎🏽♀️"; 32053 case 609: return "🙎🏾♀️"; 32054 case 610: return "🙎🏿♀️"; 32055 case 611: return "🙅"; 32056 case 612: return "🙅🏻"; 32057 case 613: return "🙅🏼"; 32058 case 614: return "🙅🏽"; 32059 case 615: return "🙅🏾"; 32060 case 616: return "🙅🏿"; 32061 case 617: return "🙅♂️"; 32062 case 618: return "🙅🏻♂️"; 32063 case 619: return "🙅🏼♂️"; 32064 case 620: return "🙅🏽♂️"; 32065 case 621: return "🙅🏾♂️"; 32066 case 622: return "🙅🏿♂️"; 32067 case 623: return "🙅♀️"; 32068 case 624: return "🙅🏻♀️"; 32069 case 625: return "🙅🏼♀️"; 32070 case 626: return "🙅🏽♀️"; 32071 case 627: return "🙅🏾♀️"; 32072 case 628: return "🙅🏿♀️"; 32073 case 629: return "🙆"; 32074 case 630: return "🙆🏻"; 32075 case 631: return "🙆🏼"; 32076 case 632: return "🙆🏽"; 32077 case 633: return "🙆🏾"; 32078 case 634: return "🙆🏿"; 32079 case 635: return "🙆♂️"; 32080 case 636: return "🙆🏻♂️"; 32081 case 637: return "🙆🏼♂️"; 32082 case 638: return "🙆🏽♂️"; 32083 case 639: return "🙆🏾♂️"; 32084 case 640: return "🙆🏿♂️"; 32085 case 641: return "🙆♀️"; 32086 case 642: return "🙆🏻♀️"; 32087 case 643: return "🙆🏼♀️"; 32088 case 644: return "🙆🏽♀️"; 32089 case 645: return "🙆🏾♀️"; 32090 case 646: return "🙆🏿♀️"; 32091 case 647: return "💁"; 32092 case 648: return "💁🏻"; 32093 case 649: return "💁🏼"; 32094 case 650: return "💁🏽"; 32095 case 651: return "💁🏾"; 32096 case 652: return "💁🏿"; 32097 case 653: return "💁♂️"; 32098 case 654: return "💁🏻♂️"; 32099 case 655: return "💁🏼♂️"; 32100 case 656: return "💁🏽♂️"; 32101 case 657: return "💁🏾♂️"; 32102 case 658: return "💁🏿♂️"; 32103 case 659: return "💁♀️"; 32104 case 660: return "💁🏻♀️"; 32105 case 661: return "💁🏼♀️"; 32106 case 662: return "💁🏽♀️"; 32107 case 663: return "💁🏾♀️"; 32108 case 664: return "💁🏿♀️"; 32109 case 665: return "🙋"; 32110 case 666: return "🙋🏻"; 32111 case 667: return "🙋🏼"; 32112 case 668: return "🙋🏽"; 32113 case 669: return "🙋🏾"; 32114 case 670: return "🙋🏿"; 32115 case 671: return "🙋♂️"; 32116 case 672: return "🙋🏻♂️"; 32117 case 673: return "🙋🏼♂️"; 32118 case 674: return "🙋🏽♂️"; 32119 case 675: return "🙋🏾♂️"; 32120 case 676: return "🙋🏿♂️"; 32121 case 677: return "🙋♀️"; 32122 case 678: return "🙋🏻♀️"; 32123 case 679: return "🙋🏼♀️"; 32124 case 680: return "🙋🏽♀️"; 32125 case 681: return "🙋🏾♀️"; 32126 case 682: return "🙋🏿♀️"; 32127 case 683: return "🧏"; 32128 case 684: return "🧏🏻"; 32129 case 685: return "🧏🏼"; 32130 case 686: return "🧏🏽"; 32131 case 687: return "🧏🏾"; 32132 case 688: return "🧏🏿"; 32133 case 689: return "🧏♂️"; 32134 case 690: return "🧏🏻♂️"; 32135 case 691: return "🧏🏼♂️"; 32136 case 692: return "🧏🏽♂️"; 32137 case 693: return "🧏🏾♂️"; 32138 case 694: return "🧏🏿♂️"; 32139 case 695: return "🧏♀️"; 32140 case 696: return "🧏🏻♀️"; 32141 case 697: return "🧏🏼♀️"; 32142 case 698: return "🧏🏽♀️"; 32143 case 699: return "🧏🏾♀️"; 32144 case 700: return "🧏🏿♀️"; 32145 case 701: return "🙇"; 32146 case 702: return "🙇🏻"; 32147 case 703: return "🙇🏼"; 32148 case 704: return "🙇🏽"; 32149 case 705: return "🙇🏾"; 32150 case 706: return "🙇🏿"; 32151 case 707: return "🙇♂️"; 32152 case 708: return "🙇🏻♂️"; 32153 case 709: return "🙇🏼♂️"; 32154 case 710: return "🙇🏽♂️"; 32155 case 711: return "🙇🏾♂️"; 32156 case 712: return "🙇🏿♂️"; 32157 case 713: return "🙇♀️"; 32158 case 714: return "🙇🏻♀️"; 32159 case 715: return "🙇🏼♀️"; 32160 case 716: return "🙇🏽♀️"; 32161 case 717: return "🙇🏾♀️"; 32162 case 718: return "🙇🏿♀️"; 32163 case 719: return "🤦"; 32164 case 720: return "🤦🏻"; 32165 case 721: return "🤦🏼"; 32166 case 722: return "🤦🏽"; 32167 case 723: return "🤦🏾"; 32168 case 724: return "🤦🏿"; 32169 case 725: return "🤦♂️"; 32170 case 726: return "🤦🏻♂️"; 32171 case 727: return "🤦🏼♂️"; 32172 case 728: return "🤦🏽♂️"; 32173 case 729: return "🤦🏾♂️"; 32174 case 730: return "🤦🏿♂️"; 32175 case 731: return "🤦♀️"; 32176 case 732: return "🤦🏻♀️"; 32177 case 733: return "🤦🏼♀️"; 32178 case 734: return "🤦🏽♀️"; 32179 case 735: return "🤦🏾♀️"; 32180 case 736: return "🤦🏿♀️"; 32181 case 737: return "🤷"; 32182 case 738: return "🤷🏻"; 32183 case 739: return "🤷🏼"; 32184 case 740: return "🤷🏽"; 32185 case 741: return "🤷🏾"; 32186 case 742: return "🤷🏿"; 32187 case 743: return "🤷♂️"; 32188 case 744: return "🤷🏻♂️"; 32189 case 745: return "🤷🏼♂️"; 32190 case 746: return "🤷🏽♂️"; 32191 case 747: return "🤷🏾♂️"; 32192 case 748: return "🤷🏿♂️"; 32193 case 749: return "🤷♀️"; 32194 case 750: return "🤷🏻♀️"; 32195 case 751: return "🤷🏼♀️"; 32196 case 752: return "🤷🏽♀️"; 32197 case 753: return "🤷🏾♀️"; 32198 case 754: return "🤷🏿♀️"; 32199 case 755: return "🧑⚕️"; 32200 case 756: return "🧑🏻⚕️"; 32201 case 757: return "🧑🏼⚕️"; 32202 case 758: return "🧑🏽⚕️"; 32203 case 759: return "🧑🏾⚕️"; 32204 case 760: return "🧑🏿⚕️"; 32205 case 761: return "👨⚕️"; 32206 case 762: return "👨🏻⚕️"; 32207 case 763: return "👨🏼⚕️"; 32208 case 764: return "👨🏽⚕️"; 32209 case 765: return "👨🏾⚕️"; 32210 case 766: return "👨🏿⚕️"; 32211 case 767: return "👩⚕️"; 32212 case 768: return "👩🏻⚕️"; 32213 case 769: return "👩🏼⚕️"; 32214 case 770: return "👩🏽⚕️"; 32215 case 771: return "👩🏾⚕️"; 32216 case 772: return "👩🏿⚕️"; 32217 case 773: return "🧑🎓"; 32218 case 774: return "🧑🏻🎓"; 32219 case 775: return "🧑🏼🎓"; 32220 case 776: return "🧑🏽🎓"; 32221 case 777: return "🧑🏾🎓"; 32222 case 778: return "🧑🏿🎓"; 32223 case 779: return "👨🎓"; 32224 case 780: return "👨🏻🎓"; 32225 case 781: return "👨🏼🎓"; 32226 case 782: return "👨🏽🎓"; 32227 case 783: return "👨🏾🎓"; 32228 case 784: return "👨🏿🎓"; 32229 case 785: return "👩🎓"; 32230 case 786: return "👩🏻🎓"; 32231 case 787: return "👩🏼🎓"; 32232 case 788: return "👩🏽🎓"; 32233 case 789: return "👩🏾🎓"; 32234 case 790: return "👩🏿🎓"; 32235 case 791: return "🧑🏫"; 32236 case 792: return "🧑🏻🏫"; 32237 case 793: return "🧑🏼🏫"; 32238 case 794: return "🧑🏽🏫"; 32239 case 795: return "🧑🏾🏫"; 32240 case 796: return "🧑🏿🏫"; 32241 case 797: return "👨🏫"; 32242 case 798: return "👨🏻🏫"; 32243 case 799: return "👨🏼🏫"; 32244 case 800: return "👨🏽🏫"; 32245 case 801: return "👨🏾🏫"; 32246 case 802: return "👨🏿🏫"; 32247 case 803: return "👩🏫"; 32248 case 804: return "👩🏻🏫"; 32249 case 805: return "👩🏼🏫"; 32250 case 806: return "👩🏽🏫"; 32251 case 807: return "👩🏾🏫"; 32252 case 808: return "👩🏿🏫"; 32253 case 809: return "🧑⚖️"; 32254 case 810: return "🧑🏻⚖️"; 32255 case 811: return "🧑🏼⚖️"; 32256 case 812: return "🧑🏽⚖️"; 32257 case 813: return "🧑🏾⚖️"; 32258 case 814: return "🧑🏿⚖️"; 32259 case 815: return "👨⚖️"; 32260 case 816: return "👨🏻⚖️"; 32261 case 817: return "👨🏼⚖️"; 32262 case 818: return "👨🏽⚖️"; 32263 case 819: return "👨🏾⚖️"; 32264 case 820: return "👨🏿⚖️"; 32265 case 821: return "👩⚖️"; 32266 case 822: return "👩🏻⚖️"; 32267 case 823: return "👩🏼⚖️"; 32268 case 824: return "👩🏽⚖️"; 32269 case 825: return "👩🏾⚖️"; 32270 case 826: return "👩🏿⚖️"; 32271 case 827: return "🧑🌾"; 32272 case 828: return "🧑🏻🌾"; 32273 case 829: return "🧑🏼🌾"; 32274 case 830: return "🧑🏽🌾"; 32275 case 831: return "🧑🏾🌾"; 32276 case 832: return "🧑🏿🌾"; 32277 case 833: return "👨🌾"; 32278 case 834: return "👨🏻🌾"; 32279 case 835: return "👨🏼🌾"; 32280 case 836: return "👨🏽🌾"; 32281 case 837: return "👨🏾🌾"; 32282 case 838: return "👨🏿🌾"; 32283 case 839: return "👩🌾"; 32284 case 840: return "👩🏻🌾"; 32285 case 841: return "👩🏼🌾"; 32286 case 842: return "👩🏽🌾"; 32287 case 843: return "👩🏾🌾"; 32288 case 844: return "👩🏿🌾"; 32289 case 845: return "🧑🍳"; 32290 case 846: return "🧑🏻🍳"; 32291 case 847: return "🧑🏼🍳"; 32292 case 848: return "🧑🏽🍳"; 32293 case 849: return "🧑🏾🍳"; 32294 case 850: return "🧑🏿🍳"; 32295 case 851: return "👨🍳"; 32296 case 852: return "👨🏻🍳"; 32297 case 853: return "👨🏼🍳"; 32298 case 854: return "👨🏽🍳"; 32299 case 855: return "👨🏾🍳"; 32300 case 856: return "👨🏿🍳"; 32301 case 857: return "👩🍳"; 32302 case 858: return "👩🏻🍳"; 32303 case 859: return "👩🏼🍳"; 32304 case 860: return "👩🏽🍳"; 32305 case 861: return "👩🏾🍳"; 32306 case 862: return "👩🏿🍳"; 32307 case 863: return "🧑🔧"; 32308 case 864: return "🧑🏻🔧"; 32309 case 865: return "🧑🏼🔧"; 32310 case 866: return "🧑🏽🔧"; 32311 case 867: return "🧑🏾🔧"; 32312 case 868: return "🧑🏿🔧"; 32313 case 869: return "👨🔧"; 32314 case 870: return "👨🏻🔧"; 32315 case 871: return "👨🏼🔧"; 32316 case 872: return "👨🏽🔧"; 32317 case 873: return "👨🏾🔧"; 32318 case 874: return "👨🏿🔧"; 32319 case 875: return "👩🔧"; 32320 case 876: return "👩🏻🔧"; 32321 case 877: return "👩🏼🔧"; 32322 case 878: return "👩🏽🔧"; 32323 case 879: return "👩🏾🔧"; 32324 case 880: return "👩🏿🔧"; 32325 case 881: return "🧑🏭"; 32326 case 882: return "🧑🏻🏭"; 32327 case 883: return "🧑🏼🏭"; 32328 case 884: return "🧑🏽🏭"; 32329 case 885: return "🧑🏾🏭"; 32330 case 886: return "🧑🏿🏭"; 32331 case 887: return "👨🏭"; 32332 case 888: return "👨🏻🏭"; 32333 case 889: return "👨🏼🏭"; 32334 case 890: return "👨🏽🏭"; 32335 case 891: return "👨🏾🏭"; 32336 case 892: return "👨🏿🏭"; 32337 case 893: return "👩🏭"; 32338 case 894: return "👩🏻🏭"; 32339 case 895: return "👩🏼🏭"; 32340 case 896: return "👩🏽🏭"; 32341 case 897: return "👩🏾🏭"; 32342 case 898: return "👩🏿🏭"; 32343 case 899: return "🧑💼"; 32344 case 900: return "🧑🏻💼"; 32345 case 901: return "🧑🏼💼"; 32346 case 902: return "🧑🏽💼"; 32347 case 903: return "🧑🏾💼"; 32348 case 904: return "🧑🏿💼"; 32349 case 905: return "👨💼"; 32350 case 906: return "👨🏻💼"; 32351 case 907: return "👨🏼💼"; 32352 case 908: return "👨🏽💼"; 32353 case 909: return "👨🏾💼"; 32354 case 910: return "👨🏿💼"; 32355 case 911: return "👩💼"; 32356 case 912: return "👩🏻💼"; 32357 case 913: return "👩🏼💼"; 32358 case 914: return "👩🏽💼"; 32359 case 915: return "👩🏾💼"; 32360 case 916: return "👩🏿💼"; 32361 case 917: return "🧑🔬"; 32362 case 918: return "🧑🏻🔬"; 32363 case 919: return "🧑🏼🔬"; 32364 case 920: return "🧑🏽🔬"; 32365 case 921: return "🧑🏾🔬"; 32366 case 922: return "🧑🏿🔬"; 32367 case 923: return "👨🔬"; 32368 case 924: return "👨🏻🔬"; 32369 case 925: return "👨🏼🔬"; 32370 case 926: return "👨🏽🔬"; 32371 case 927: return "👨🏾🔬"; 32372 case 928: return "👨🏿🔬"; 32373 case 929: return "👩🔬"; 32374 case 930: return "👩🏻🔬"; 32375 case 931: return "👩🏼🔬"; 32376 case 932: return "👩🏽🔬"; 32377 case 933: return "👩🏾🔬"; 32378 case 934: return "👩🏿🔬"; 32379 case 935: return "🧑💻"; 32380 case 936: return "🧑🏻💻"; 32381 case 937: return "🧑🏼💻"; 32382 case 938: return "🧑🏽💻"; 32383 case 939: return "🧑🏾💻"; 32384 case 940: return "🧑🏿💻"; 32385 case 941: return "👨💻"; 32386 case 942: return "👨🏻💻"; 32387 case 943: return "👨🏼💻"; 32388 case 944: return "👨🏽💻"; 32389 case 945: return "👨🏾💻"; 32390 case 946: return "👨🏿💻"; 32391 case 947: return "👩💻"; 32392 case 948: return "👩🏻💻"; 32393 case 949: return "👩🏼💻"; 32394 case 950: return "👩🏽💻"; 32395 case 951: return "👩🏾💻"; 32396 case 952: return "👩🏿💻"; 32397 case 953: return "🧑🎤"; 32398 case 954: return "🧑🏻🎤"; 32399 case 955: return "🧑🏼🎤"; 32400 case 956: return "🧑🏽🎤"; 32401 case 957: return "🧑🏾🎤"; 32402 case 958: return "🧑🏿🎤"; 32403 case 959: return "👨🎤"; 32404 case 960: return "👨🏻🎤"; 32405 case 961: return "👨🏼🎤"; 32406 case 962: return "👨🏽🎤"; 32407 case 963: return "👨🏾🎤"; 32408 case 964: return "👨🏿🎤"; 32409 case 965: return "👩🎤"; 32410 case 966: return "👩🏻🎤"; 32411 case 967: return "👩🏼🎤"; 32412 case 968: return "👩🏽🎤"; 32413 case 969: return "👩🏾🎤"; 32414 case 970: return "👩🏿🎤"; 32415 case 971: return "🧑🎨"; 32416 case 972: return "🧑🏻🎨"; 32417 case 973: return "🧑🏼🎨"; 32418 case 974: return "🧑🏽🎨"; 32419 case 975: return "🧑🏾🎨"; 32420 case 976: return "🧑🏿🎨"; 32421 case 977: return "👨🎨"; 32422 case 978: return "👨🏻🎨"; 32423 case 979: return "👨🏼🎨"; 32424 case 980: return "👨🏽🎨"; 32425 case 981: return "👨🏾🎨"; 32426 case 982: return "👨🏿🎨"; 32427 case 983: return "👩🎨"; 32428 case 984: return "👩🏻🎨"; 32429 case 985: return "👩🏼🎨"; 32430 case 986: return "👩🏽🎨"; 32431 case 987: return "👩🏾🎨"; 32432 case 988: return "👩🏿🎨"; 32433 case 989: return "🧑✈️"; 32434 case 990: return "🧑🏻✈️"; 32435 case 991: return "🧑🏼✈️"; 32436 case 992: return "🧑🏽✈️"; 32437 case 993: return "🧑🏾✈️"; 32438 case 994: return "🧑🏿✈️"; 32439 case 995: return "👨✈️"; 32440 case 996: return "👨🏻✈️"; 32441 case 997: return "👨🏼✈️"; 32442 case 998: return "👨🏽✈️"; 32443 case 999: return "👨🏾✈️"; 32444 case 1000: return "👨🏿✈️"; 32445 case 1001: return "👩✈️"; 32446 case 1002: return "👩🏻✈️"; 32447 case 1003: return "👩🏼✈️"; 32448 case 1004: return "👩🏽✈️"; 32449 case 1005: return "👩🏾✈️"; 32450 case 1006: return "👩🏿✈️"; 32451 case 1007: return "🧑🚀"; 32452 case 1008: return "🧑🏻🚀"; 32453 case 1009: return "🧑🏼🚀"; 32454 case 1010: return "🧑🏽🚀"; 32455 case 1011: return "🧑🏾🚀"; 32456 case 1012: return "🧑🏿🚀"; 32457 case 1013: return "👨🚀"; 32458 case 1014: return "👨🏻🚀"; 32459 case 1015: return "👨🏼🚀"; 32460 case 1016: return "👨🏽🚀"; 32461 case 1017: return "👨🏾🚀"; 32462 case 1018: return "👨🏿🚀"; 32463 case 1019: return "👩🚀"; 32464 case 1020: return "👩🏻🚀"; 32465 case 1021: return "👩🏼🚀"; 32466 case 1022: return "👩🏽🚀"; 32467 case 1023: return "👩🏾🚀"; 32468 case 1024: return "👩🏿🚀"; 32469 case 1025: return "🧑🚒"; 32470 case 1026: return "🧑🏻🚒"; 32471 case 1027: return "🧑🏼🚒"; 32472 case 1028: return "🧑🏽🚒"; 32473 case 1029: return "🧑🏾🚒"; 32474 case 1030: return "🧑🏿🚒"; 32475 case 1031: return "👨🚒"; 32476 case 1032: return "👨🏻🚒"; 32477 case 1033: return "👨🏼🚒"; 32478 case 1034: return "👨🏽🚒"; 32479 case 1035: return "👨🏾🚒"; 32480 case 1036: return "👨🏿🚒"; 32481 case 1037: return "👩🚒"; 32482 case 1038: return "👩🏻🚒"; 32483 case 1039: return "👩🏼🚒"; 32484 case 1040: return "👩🏽🚒"; 32485 case 1041: return "👩🏾🚒"; 32486 case 1042: return "👩🏿🚒"; 32487 case 1043: return "👮"; 32488 case 1044: return "👮🏻"; 32489 case 1045: return "👮🏼"; 32490 case 1046: return "👮🏽"; 32491 case 1047: return "👮🏾"; 32492 case 1048: return "👮🏿"; 32493 case 1049: return "👮♂️"; 32494 case 1050: return "👮🏻♂️"; 32495 case 1051: return "👮🏼♂️"; 32496 case 1052: return "👮🏽♂️"; 32497 case 1053: return "👮🏾♂️"; 32498 case 1054: return "👮🏿♂️"; 32499 case 1055: return "👮♀️"; 32500 case 1056: return "👮🏻♀️"; 32501 case 1057: return "👮🏼♀️"; 32502 case 1058: return "👮🏽♀️"; 32503 case 1059: return "👮🏾♀️"; 32504 case 1060: return "👮🏿♀️"; 32505 case 1061: return "🕵️"; 32506 case 1062: return "🕵🏻"; 32507 case 1063: return "🕵🏼"; 32508 case 1064: return "🕵🏽"; 32509 case 1065: return "🕵🏾"; 32510 case 1066: return "🕵🏿"; 32511 case 1067: return "🕵️♂️"; 32512 case 1068: return "🕵🏻♂️"; 32513 case 1069: return "🕵🏼♂️"; 32514 case 1070: return "🕵🏽♂️"; 32515 case 1071: return "🕵🏾♂️"; 32516 case 1072: return "🕵🏿♂️"; 32517 case 1073: return "🕵️♀️"; 32518 case 1074: return "🕵🏻♀️"; 32519 case 1075: return "🕵🏼♀️"; 32520 case 1076: return "🕵🏽♀️"; 32521 case 1077: return "🕵🏾♀️"; 32522 case 1078: return "🕵🏿♀️"; 32523 case 1079: return "💂"; 32524 case 1080: return "💂🏻"; 32525 case 1081: return "💂🏼"; 32526 case 1082: return "💂🏽"; 32527 case 1083: return "💂🏾"; 32528 case 1084: return "💂🏿"; 32529 case 1085: return "💂♂️"; 32530 case 1086: return "💂🏻♂️"; 32531 case 1087: return "💂🏼♂️"; 32532 case 1088: return "💂🏽♂️"; 32533 case 1089: return "💂🏾♂️"; 32534 case 1090: return "💂🏿♂️"; 32535 case 1091: return "💂♀️"; 32536 case 1092: return "💂🏻♀️"; 32537 case 1093: return "💂🏼♀️"; 32538 case 1094: return "💂🏽♀️"; 32539 case 1095: return "💂🏾♀️"; 32540 case 1096: return "💂🏿♀️"; 32541 case 1097: return "🥷"; 32542 case 1098: return "🥷🏻"; 32543 case 1099: return "🥷🏼"; 32544 case 1100: return "🥷🏽"; 32545 case 1101: return "🥷🏾"; 32546 case 1102: return "🥷🏿"; 32547 case 1103: return "👷"; 32548 case 1104: return "👷🏻"; 32549 case 1105: return "👷🏼"; 32550 case 1106: return "👷🏽"; 32551 case 1107: return "👷🏾"; 32552 case 1108: return "👷🏿"; 32553 case 1109: return "👷♂️"; 32554 case 1110: return "👷🏻♂️"; 32555 case 1111: return "👷🏼♂️"; 32556 case 1112: return "👷🏽♂️"; 32557 case 1113: return "👷🏾♂️"; 32558 case 1114: return "👷🏿♂️"; 32559 case 1115: return "👷♀️"; 32560 case 1116: return "👷🏻♀️"; 32561 case 1117: return "👷🏼♀️"; 32562 case 1118: return "👷🏽♀️"; 32563 case 1119: return "👷🏾♀️"; 32564 case 1120: return "👷🏿♀️"; 32565 case 1121: return "🤴"; 32566 case 1122: return "🤴🏻"; 32567 case 1123: return "🤴🏼"; 32568 case 1124: return "🤴🏽"; 32569 case 1125: return "🤴🏾"; 32570 case 1126: return "🤴🏿"; 32571 case 1127: return "👸"; 32572 case 1128: return "👸🏻"; 32573 case 1129: return "👸🏼"; 32574 case 1130: return "👸🏽"; 32575 case 1131: return "👸🏾"; 32576 case 1132: return "👸🏿"; 32577 case 1133: return "👳"; 32578 case 1134: return "👳🏻"; 32579 case 1135: return "👳🏼"; 32580 case 1136: return "👳🏽"; 32581 case 1137: return "👳🏾"; 32582 case 1138: return "👳🏿"; 32583 case 1139: return "👳♂️"; 32584 case 1140: return "👳🏻♂️"; 32585 case 1141: return "👳🏼♂️"; 32586 case 1142: return "👳🏽♂️"; 32587 case 1143: return "👳🏾♂️"; 32588 case 1144: return "👳🏿♂️"; 32589 case 1145: return "👳♀️"; 32590 case 1146: return "👳🏻♀️"; 32591 case 1147: return "👳🏼♀️"; 32592 case 1148: return "👳🏽♀️"; 32593 case 1149: return "👳🏾♀️"; 32594 case 1150: return "👳🏿♀️"; 32595 case 1151: return "👲"; 32596 case 1152: return "👲🏻"; 32597 case 1153: return "👲🏼"; 32598 case 1154: return "👲🏽"; 32599 case 1155: return "👲🏾"; 32600 case 1156: return "👲🏿"; 32601 case 1157: return "🧕"; 32602 case 1158: return "🧕🏻"; 32603 case 1159: return "🧕🏼"; 32604 case 1160: return "🧕🏽"; 32605 case 1161: return "🧕🏾"; 32606 case 1162: return "🧕🏿"; 32607 case 1163: return "🤵"; 32608 case 1164: return "🤵🏻"; 32609 case 1165: return "🤵🏼"; 32610 case 1166: return "🤵🏽"; 32611 case 1167: return "🤵🏾"; 32612 case 1168: return "🤵🏿"; 32613 case 1169: return "🤵♂️"; 32614 case 1170: return "🤵🏻♂️"; 32615 case 1171: return "🤵🏼♂️"; 32616 case 1172: return "🤵🏽♂️"; 32617 case 1173: return "🤵🏾♂️"; 32618 case 1174: return "🤵🏿♂️"; 32619 case 1175: return "🤵♀️"; 32620 case 1176: return "🤵🏻♀️"; 32621 case 1177: return "🤵🏼♀️"; 32622 case 1178: return "🤵🏽♀️"; 32623 case 1179: return "🤵🏾♀️"; 32624 case 1180: return "🤵🏿♀️"; 32625 case 1181: return "👰"; 32626 case 1182: return "👰🏻"; 32627 case 1183: return "👰🏼"; 32628 case 1184: return "👰🏽"; 32629 case 1185: return "👰🏾"; 32630 case 1186: return "👰🏿"; 32631 case 1187: return "👰♂️"; 32632 case 1188: return "👰🏻♂️"; 32633 case 1189: return "👰🏼♂️"; 32634 case 1190: return "👰🏽♂️"; 32635 case 1191: return "👰🏾♂️"; 32636 case 1192: return "👰🏿♂️"; 32637 case 1193: return "👰♀️"; 32638 case 1194: return "👰🏻♀️"; 32639 case 1195: return "👰🏼♀️"; 32640 case 1196: return "👰🏽♀️"; 32641 case 1197: return "👰🏾♀️"; 32642 case 1198: return "👰🏿♀️"; 32643 case 1199: return "🤰"; 32644 case 1200: return "🤰🏻"; 32645 case 1201: return "🤰🏼"; 32646 case 1202: return "🤰🏽"; 32647 case 1203: return "🤰🏾"; 32648 case 1204: return "🤰🏿"; 32649 case 1205: return "🤱"; 32650 case 1206: return "🤱🏻"; 32651 case 1207: return "🤱🏼"; 32652 case 1208: return "🤱🏽"; 32653 case 1209: return "🤱🏾"; 32654 case 1210: return "🤱🏿"; 32655 case 1211: return "👩🍼"; 32656 case 1212: return "👩🏻🍼"; 32657 case 1213: return "👩🏼🍼"; 32658 case 1214: return "👩🏽🍼"; 32659 case 1215: return "👩🏾🍼"; 32660 case 1216: return "👩🏿🍼"; 32661 case 1217: return "👨🍼"; 32662 case 1218: return "👨🏻🍼"; 32663 case 1219: return "👨🏼🍼"; 32664 case 1220: return "👨🏽🍼"; 32665 case 1221: return "👨🏾🍼"; 32666 case 1222: return "👨🏿🍼"; 32667 case 1223: return "🧑🍼"; 32668 case 1224: return "🧑🏻🍼"; 32669 case 1225: return "🧑🏼🍼"; 32670 case 1226: return "🧑🏽🍼"; 32671 case 1227: return "🧑🏾🍼"; 32672 case 1228: return "🧑🏿🍼"; 32673 case 1229: return "👼"; 32674 case 1230: return "👼🏻"; 32675 case 1231: return "👼🏼"; 32676 case 1232: return "👼🏽"; 32677 case 1233: return "👼🏾"; 32678 case 1234: return "👼🏿"; 32679 case 1235: return "🎅"; 32680 case 1236: return "🎅🏻"; 32681 case 1237: return "🎅🏼"; 32682 case 1238: return "🎅🏽"; 32683 case 1239: return "🎅🏾"; 32684 case 1240: return "🎅🏿"; 32685 case 1241: return "🤶"; 32686 case 1242: return "🤶🏻"; 32687 case 1243: return "🤶🏼"; 32688 case 1244: return "🤶🏽"; 32689 case 1245: return "🤶🏾"; 32690 case 1246: return "🤶🏿"; 32691 case 1247: return "🧑🎄"; 32692 case 1248: return "🧑🏻🎄"; 32693 case 1249: return "🧑🏼🎄"; 32694 case 1250: return "🧑🏽🎄"; 32695 case 1251: return "🧑🏾🎄"; 32696 case 1252: return "🧑🏿🎄"; 32697 case 1253: return "🦸"; 32698 case 1254: return "🦸🏻"; 32699 case 1255: return "🦸🏼"; 32700 case 1256: return "🦸🏽"; 32701 case 1257: return "🦸🏾"; 32702 case 1258: return "🦸🏿"; 32703 case 1259: return "🦸♂️"; 32704 case 1260: return "🦸🏻♂️"; 32705 case 1261: return "🦸🏼♂️"; 32706 case 1262: return "🦸🏽♂️"; 32707 case 1263: return "🦸🏾♂️"; 32708 case 1264: return "🦸🏿♂️"; 32709 case 1265: return "🦸♀️"; 32710 case 1266: return "🦸🏻♀️"; 32711 case 1267: return "🦸🏼♀️"; 32712 case 1268: return "🦸🏽♀️"; 32713 case 1269: return "🦸🏾♀️"; 32714 case 1270: return "🦸🏿♀️"; 32715 case 1271: return "🦹"; 32716 case 1272: return "🦹🏻"; 32717 case 1273: return "🦹🏼"; 32718 case 1274: return "🦹🏽"; 32719 case 1275: return "🦹🏾"; 32720 case 1276: return "🦹🏿"; 32721 case 1277: return "🦹♂️"; 32722 case 1278: return "🦹🏻♂️"; 32723 case 1279: return "🦹🏼♂️"; 32724 case 1280: return "🦹🏽♂️"; 32725 case 1281: return "🦹🏾♂️"; 32726 case 1282: return "🦹🏿♂️"; 32727 case 1283: return "🦹♀️"; 32728 case 1284: return "🦹🏻♀️"; 32729 case 1285: return "🦹🏼♀️"; 32730 case 1286: return "🦹🏽♀️"; 32731 case 1287: return "🦹🏾♀️"; 32732 case 1288: return "🦹🏿♀️"; 32733 case 1289: return "🧙"; 32734 case 1290: return "🧙🏻"; 32735 case 1291: return "🧙🏼"; 32736 case 1292: return "🧙🏽"; 32737 case 1293: return "🧙🏾"; 32738 case 1294: return "🧙🏿"; 32739 case 1295: return "🧙♂️"; 32740 case 1296: return "🧙🏻♂️"; 32741 case 1297: return "🧙🏼♂️"; 32742 case 1298: return "🧙🏽♂️"; 32743 case 1299: return "🧙🏾♂️"; 32744 case 1300: return "🧙🏿♂️"; 32745 case 1301: return "🧙♀️"; 32746 case 1302: return "🧙🏻♀️"; 32747 case 1303: return "🧙🏼♀️"; 32748 case 1304: return "🧙🏽♀️"; 32749 case 1305: return "🧙🏾♀️"; 32750 case 1306: return "🧙🏿♀️"; 32751 case 1307: return "🧚"; 32752 case 1308: return "🧚🏻"; 32753 case 1309: return "🧚🏼"; 32754 case 1310: return "🧚🏽"; 32755 case 1311: return "🧚🏾"; 32756 case 1312: return "🧚🏿"; 32757 case 1313: return "🧚♂️"; 32758 case 1314: return "🧚🏻♂️"; 32759 case 1315: return "🧚🏼♂️"; 32760 case 1316: return "🧚🏽♂️"; 32761 case 1317: return "🧚🏾♂️"; 32762 case 1318: return "🧚🏿♂️"; 32763 case 1319: return "🧚♀️"; 32764 case 1320: return "🧚🏻♀️"; 32765 case 1321: return "🧚🏼♀️"; 32766 case 1322: return "🧚🏽♀️"; 32767 case 1323: return "🧚🏾♀️"; 32768 case 1324: return "🧚🏿♀️"; 32769 case 1325: return "🧛"; 32770 case 1326: return "🧛🏻"; 32771 case 1327: return "🧛🏼"; 32772 case 1328: return "🧛🏽"; 32773 case 1329: return "🧛🏾"; 32774 case 1330: return "🧛🏿"; 32775 case 1331: return "🧛♂️"; 32776 case 1332: return "🧛🏻♂️"; 32777 case 1333: return "🧛🏼♂️"; 32778 case 1334: return "🧛🏽♂️"; 32779 case 1335: return "🧛🏾♂️"; 32780 case 1336: return "🧛🏿♂️"; 32781 case 1337: return "🧛♀️"; 32782 case 1338: return "🧛🏻♀️"; 32783 case 1339: return "🧛🏼♀️"; 32784 case 1340: return "🧛🏽♀️"; 32785 case 1341: return "🧛🏾♀️"; 32786 case 1342: return "🧛🏿♀️"; 32787 case 1343: return "🧜"; 32788 case 1344: return "🧜🏻"; 32789 case 1345: return "🧜🏼"; 32790 case 1346: return "🧜🏽"; 32791 case 1347: return "🧜🏾"; 32792 case 1348: return "🧜🏿"; 32793 case 1349: return "🧜♂️"; 32794 case 1350: return "🧜🏻♂️"; 32795 case 1351: return "🧜🏼♂️"; 32796 case 1352: return "🧜🏽♂️"; 32797 case 1353: return "🧜🏾♂️"; 32798 case 1354: return "🧜🏿♂️"; 32799 case 1355: return "🧜♀️"; 32800 case 1356: return "🧜🏻♀️"; 32801 case 1357: return "🧜🏼♀️"; 32802 case 1358: return "🧜🏽♀️"; 32803 case 1359: return "🧜🏾♀️"; 32804 case 1360: return "🧜🏿♀️"; 32805 case 1361: return "🧝"; 32806 case 1362: return "🧝🏻"; 32807 case 1363: return "🧝🏼"; 32808 case 1364: return "🧝🏽"; 32809 case 1365: return "🧝🏾"; 32810 case 1366: return "🧝🏿"; 32811 case 1367: return "🧝♂️"; 32812 case 1368: return "🧝🏻♂️"; 32813 case 1369: return "🧝🏼♂️"; 32814 case 1370: return "🧝🏽♂️"; 32815 case 1371: return "🧝🏾♂️"; 32816 case 1372: return "🧝🏿♂️"; 32817 case 1373: return "🧝♀️"; 32818 case 1374: return "🧝🏻♀️"; 32819 case 1375: return "🧝🏼♀️"; 32820 case 1376: return "🧝🏽♀️"; 32821 case 1377: return "🧝🏾♀️"; 32822 case 1378: return "🧝🏿♀️"; 32823 case 1379: return "🧞"; 32824 case 1380: return "🧞♂️"; 32825 case 1381: return "🧞♀️"; 32826 case 1382: return "🧟"; 32827 case 1383: return "🧟♂️"; 32828 case 1384: return "🧟♀️"; 32829 case 1385: return "💆"; 32830 case 1386: return "💆🏻"; 32831 case 1387: return "💆🏼"; 32832 case 1388: return "💆🏽"; 32833 case 1389: return "💆🏾"; 32834 case 1390: return "💆🏿"; 32835 case 1391: return "💆♂️"; 32836 case 1392: return "💆🏻♂️"; 32837 case 1393: return "💆🏼♂️"; 32838 case 1394: return "💆🏽♂️"; 32839 case 1395: return "💆🏾♂️"; 32840 case 1396: return "💆🏿♂️"; 32841 case 1397: return "💆♀️"; 32842 case 1398: return "💆🏻♀️"; 32843 case 1399: return "💆🏼♀️"; 32844 case 1400: return "💆🏽♀️"; 32845 case 1401: return "💆🏾♀️"; 32846 case 1402: return "💆🏿♀️"; 32847 case 1403: return "💇"; 32848 case 1404: return "💇🏻"; 32849 case 1405: return "💇🏼"; 32850 case 1406: return "💇🏽"; 32851 case 1407: return "💇🏾"; 32852 case 1408: return "💇🏿"; 32853 case 1409: return "💇♂️"; 32854 case 1410: return "💇🏻♂️"; 32855 case 1411: return "💇🏼♂️"; 32856 case 1412: return "💇🏽♂️"; 32857 case 1413: return "💇🏾♂️"; 32858 case 1414: return "💇🏿♂️"; 32859 case 1415: return "💇♀️"; 32860 case 1416: return "💇🏻♀️"; 32861 case 1417: return "💇🏼♀️"; 32862 case 1418: return "💇🏽♀️"; 32863 case 1419: return "💇🏾♀️"; 32864 case 1420: return "💇🏿♀️"; 32865 case 1421: return "🚶"; 32866 case 1422: return "🚶🏻"; 32867 case 1423: return "🚶🏼"; 32868 case 1424: return "🚶🏽"; 32869 case 1425: return "🚶🏾"; 32870 case 1426: return "🚶🏿"; 32871 case 1427: return "🚶♂️"; 32872 case 1428: return "🚶🏻♂️"; 32873 case 1429: return "🚶🏼♂️"; 32874 case 1430: return "🚶🏽♂️"; 32875 case 1431: return "🚶🏾♂️"; 32876 case 1432: return "🚶🏿♂️"; 32877 case 1433: return "🚶♀️"; 32878 case 1434: return "🚶🏻♀️"; 32879 case 1435: return "🚶🏼♀️"; 32880 case 1436: return "🚶🏽♀️"; 32881 case 1437: return "🚶🏾♀️"; 32882 case 1438: return "🚶🏿♀️"; 32883 case 1439: return "🧍"; 32884 case 1440: return "🧍🏻"; 32885 case 1441: return "🧍🏼"; 32886 case 1442: return "🧍🏽"; 32887 case 1443: return "🧍🏾"; 32888 case 1444: return "🧍🏿"; 32889 case 1445: return "🧍♂️"; 32890 case 1446: return "🧍🏻♂️"; 32891 case 1447: return "🧍🏼♂️"; 32892 case 1448: return "🧍🏽♂️"; 32893 case 1449: return "🧍🏾♂️"; 32894 case 1450: return "🧍🏿♂️"; 32895 case 1451: return "🧍♀️"; 32896 case 1452: return "🧍🏻♀️"; 32897 case 1453: return "🧍🏼♀️"; 32898 case 1454: return "🧍🏽♀️"; 32899 case 1455: return "🧍🏾♀️"; 32900 case 1456: return "🧍🏿♀️"; 32901 case 1457: return "🧎"; 32902 case 1458: return "🧎🏻"; 32903 case 1459: return "🧎🏼"; 32904 case 1460: return "🧎🏽"; 32905 case 1461: return "🧎🏾"; 32906 case 1462: return "🧎🏿"; 32907 case 1463: return "🧎♂️"; 32908 case 1464: return "🧎🏻♂️"; 32909 case 1465: return "🧎🏼♂️"; 32910 case 1466: return "🧎🏽♂️"; 32911 case 1467: return "🧎🏾♂️"; 32912 case 1468: return "🧎🏿♂️"; 32913 case 1469: return "🧎♀️"; 32914 case 1470: return "🧎🏻♀️"; 32915 case 1471: return "🧎🏼♀️"; 32916 case 1472: return "🧎🏽♀️"; 32917 case 1473: return "🧎🏾♀️"; 32918 case 1474: return "🧎🏿♀️"; 32919 case 1475: return "🧑🦯"; 32920 case 1476: return "🧑🏻🦯"; 32921 case 1477: return "🧑🏼🦯"; 32922 case 1478: return "🧑🏽🦯"; 32923 case 1479: return "🧑🏾🦯"; 32924 case 1480: return "🧑🏿🦯"; 32925 case 1481: return "👨🦯"; 32926 case 1482: return "👨🏻🦯"; 32927 case 1483: return "👨🏼🦯"; 32928 case 1484: return "👨🏽🦯"; 32929 case 1485: return "👨🏾🦯"; 32930 case 1486: return "👨🏿🦯"; 32931 case 1487: return "👩🦯"; 32932 case 1488: return "👩🏻🦯"; 32933 case 1489: return "👩🏼🦯"; 32934 case 1490: return "👩🏽🦯"; 32935 case 1491: return "👩🏾🦯"; 32936 case 1492: return "👩🏿🦯"; 32937 case 1493: return "🧑🦼"; 32938 case 1494: return "🧑🏻🦼"; 32939 case 1495: return "🧑🏼🦼"; 32940 case 1496: return "🧑🏽🦼"; 32941 case 1497: return "🧑🏾🦼"; 32942 case 1498: return "🧑🏿🦼"; 32943 case 1499: return "👨🦼"; 32944 case 1500: return "👨🏻🦼"; 32945 case 1501: return "👨🏼🦼"; 32946 case 1502: return "👨🏽🦼"; 32947 case 1503: return "👨🏾🦼"; 32948 case 1504: return "👨🏿🦼"; 32949 case 1505: return "👩🦼"; 32950 case 1506: return "👩🏻🦼"; 32951 case 1507: return "👩🏼🦼"; 32952 case 1508: return "👩🏽🦼"; 32953 case 1509: return "👩🏾🦼"; 32954 case 1510: return "👩🏿🦼"; 32955 case 1511: return "🧑🦽"; 32956 case 1512: return "🧑🏻🦽"; 32957 case 1513: return "🧑🏼🦽"; 32958 case 1514: return "🧑🏽🦽"; 32959 case 1515: return "🧑🏾🦽"; 32960 case 1516: return "🧑🏿🦽"; 32961 case 1517: return "👨🦽"; 32962 case 1518: return "👨🏻🦽"; 32963 case 1519: return "👨🏼🦽"; 32964 case 1520: return "👨🏽🦽"; 32965 case 1521: return "👨🏾🦽"; 32966 case 1522: return "👨🏿🦽"; 32967 case 1523: return "👩🦽"; 32968 case 1524: return "👩🏻🦽"; 32969 case 1525: return "👩🏼🦽"; 32970 case 1526: return "👩🏽🦽"; 32971 case 1527: return "👩🏾🦽"; 32972 case 1528: return "👩🏿🦽"; 32973 case 1529: return "🏃"; 32974 case 1530: return "🏃🏻"; 32975 case 1531: return "🏃🏼"; 32976 case 1532: return "🏃🏽"; 32977 case 1533: return "🏃🏾"; 32978 case 1534: return "🏃🏿"; 32979 case 1535: return "🏃♂️"; 32980 case 1536: return "🏃🏻♂️"; 32981 case 1537: return "🏃🏼♂️"; 32982 case 1538: return "🏃🏽♂️"; 32983 case 1539: return "🏃🏾♂️"; 32984 case 1540: return "🏃🏿♂️"; 32985 case 1541: return "🏃♀️"; 32986 case 1542: return "🏃🏻♀️"; 32987 case 1543: return "🏃🏼♀️"; 32988 case 1544: return "🏃🏽♀️"; 32989 case 1545: return "🏃🏾♀️"; 32990 case 1546: return "🏃🏿♀️"; 32991 case 1547: return "💃"; 32992 case 1548: return "💃🏻"; 32993 case 1549: return "💃🏼"; 32994 case 1550: return "💃🏽"; 32995 case 1551: return "💃🏾"; 32996 case 1552: return "💃🏿"; 32997 case 1553: return "🕺"; 32998 case 1554: return "🕺🏻"; 32999 case 1555: return "🕺🏼"; 33000 case 1556: return "🕺🏽"; 33001 case 1557: return "🕺🏾"; 33002 case 1558: return "🕺🏿"; 33003 case 1559: return "🕴️"; 33004 case 1560: return "🕴🏻"; 33005 case 1561: return "🕴🏼"; 33006 case 1562: return "🕴🏽"; 33007 case 1563: return "🕴🏾"; 33008 case 1564: return "🕴🏿"; 33009 case 1565: return "👯"; 33010 case 1566: return "👯♂️"; 33011 case 1567: return "👯♀️"; 33012 case 1568: return "🧖"; 33013 case 1569: return "🧖🏻"; 33014 case 1570: return "🧖🏼"; 33015 case 1571: return "🧖🏽"; 33016 case 1572: return "🧖🏾"; 33017 case 1573: return "🧖🏿"; 33018 case 1574: return "🧖♂️"; 33019 case 1575: return "🧖🏻♂️"; 33020 case 1576: return "🧖🏼♂️"; 33021 case 1577: return "🧖🏽♂️"; 33022 case 1578: return "🧖🏾♂️"; 33023 case 1579: return "🧖🏿♂️"; 33024 case 1580: return "🧖♀️"; 33025 case 1581: return "🧖🏻♀️"; 33026 case 1582: return "🧖🏼♀️"; 33027 case 1583: return "🧖🏽♀️"; 33028 case 1584: return "🧖🏾♀️"; 33029 case 1585: return "🧖🏿♀️"; 33030 case 1586: return "🧗"; 33031 case 1587: return "🧗🏻"; 33032 case 1588: return "🧗🏼"; 33033 case 1589: return "🧗🏽"; 33034 case 1590: return "🧗🏾"; 33035 case 1591: return "🧗🏿"; 33036 case 1592: return "🧗♂️"; 33037 case 1593: return "🧗🏻♂️"; 33038 case 1594: return "🧗🏼♂️"; 33039 case 1595: return "🧗🏽♂️"; 33040 case 1596: return "🧗🏾♂️"; 33041 case 1597: return "🧗🏿♂️"; 33042 case 1598: return "🧗♀️"; 33043 case 1599: return "🧗🏻♀️"; 33044 case 1600: return "🧗🏼♀️"; 33045 case 1601: return "🧗🏽♀️"; 33046 case 1602: return "🧗🏾♀️"; 33047 case 1603: return "🧗🏿♀️"; 33048 case 1604: return "🤺"; 33049 case 1605: return "🏇"; 33050 case 1606: return "🏇🏻"; 33051 case 1607: return "🏇🏼"; 33052 case 1608: return "🏇🏽"; 33053 case 1609: return "🏇🏾"; 33054 case 1610: return "🏇🏿"; 33055 case 1611: return "⛷️"; 33056 case 1612: return "🏂"; 33057 case 1613: return "🏂🏻"; 33058 case 1614: return "🏂🏼"; 33059 case 1615: return "🏂🏽"; 33060 case 1616: return "🏂🏾"; 33061 case 1617: return "🏂🏿"; 33062 case 1618: return "🏌️"; 33063 case 1619: return "🏌🏻"; 33064 case 1620: return "🏌🏼"; 33065 case 1621: return "🏌🏽"; 33066 case 1622: return "🏌🏾"; 33067 case 1623: return "🏌🏿"; 33068 case 1624: return "🏌️♂️"; 33069 case 1625: return "🏌🏻♂️"; 33070 case 1626: return "🏌🏼♂️"; 33071 case 1627: return "🏌🏽♂️"; 33072 case 1628: return "🏌🏾♂️"; 33073 case 1629: return "🏌🏿♂️"; 33074 case 1630: return "🏌️♀️"; 33075 case 1631: return "🏌🏻♀️"; 33076 case 1632: return "🏌🏼♀️"; 33077 case 1633: return "🏌🏽♀️"; 33078 case 1634: return "🏌🏾♀️"; 33079 case 1635: return "🏌🏿♀️"; 33080 case 1636: return "🏄"; 33081 case 1637: return "🏄🏻"; 33082 case 1638: return "🏄🏼"; 33083 case 1639: return "🏄🏽"; 33084 case 1640: return "🏄🏾"; 33085 case 1641: return "🏄🏿"; 33086 case 1642: return "🏄♂️"; 33087 case 1643: return "🏄🏻♂️"; 33088 case 1644: return "🏄🏼♂️"; 33089 case 1645: return "🏄🏽♂️"; 33090 case 1646: return "🏄🏾♂️"; 33091 case 1647: return "🏄🏿♂️"; 33092 case 1648: return "🏄♀️"; 33093 case 1649: return "🏄🏻♀️"; 33094 case 1650: return "🏄🏼♀️"; 33095 case 1651: return "🏄🏽♀️"; 33096 case 1652: return "🏄🏾♀️"; 33097 case 1653: return "🏄🏿♀️"; 33098 case 1654: return "🚣"; 33099 case 1655: return "🚣🏻"; 33100 case 1656: return "🚣🏼"; 33101 case 1657: return "🚣🏽"; 33102 case 1658: return "🚣🏾"; 33103 case 1659: return "🚣🏿"; 33104 case 1660: return "🚣♂️"; 33105 case 1661: return "🚣🏻♂️"; 33106 case 1662: return "🚣🏼♂️"; 33107 case 1663: return "🚣🏽♂️"; 33108 case 1664: return "🚣🏾♂️"; 33109 case 1665: return "🚣🏿♂️"; 33110 case 1666: return "🚣♀️"; 33111 case 1667: return "🚣🏻♀️"; 33112 case 1668: return "🚣🏼♀️"; 33113 case 1669: return "🚣🏽♀️"; 33114 case 1670: return "🚣🏾♀️"; 33115 case 1671: return "🚣🏿♀️"; 33116 case 1672: return "🏊"; 33117 case 1673: return "🏊🏻"; 33118 case 1674: return "🏊🏼"; 33119 case 1675: return "🏊🏽"; 33120 case 1676: return "🏊🏾"; 33121 case 1677: return "🏊🏿"; 33122 case 1678: return "🏊♂️"; 33123 case 1679: return "🏊🏻♂️"; 33124 case 1680: return "🏊🏼♂️"; 33125 case 1681: return "🏊🏽♂️"; 33126 case 1682: return "🏊🏾♂️"; 33127 case 1683: return "🏊🏿♂️"; 33128 case 1684: return "🏊♀️"; 33129 case 1685: return "🏊🏻♀️"; 33130 case 1686: return "🏊🏼♀️"; 33131 case 1687: return "🏊🏽♀️"; 33132 case 1688: return "🏊🏾♀️"; 33133 case 1689: return "🏊🏿♀️"; 33134 case 1690: return "⛹️"; 33135 case 1691: return "⛹🏻"; 33136 case 1692: return "⛹🏼"; 33137 case 1693: return "⛹🏽"; 33138 case 1694: return "⛹🏾"; 33139 case 1695: return "⛹🏿"; 33140 case 1696: return "⛹️♂️"; 33141 case 1697: return "⛹🏻♂️"; 33142 case 1698: return "⛹🏼♂️"; 33143 case 1699: return "⛹🏽♂️"; 33144 case 1700: return "⛹🏾♂️"; 33145 case 1701: return "⛹🏿♂️"; 33146 case 1702: return "⛹️♀️"; 33147 case 1703: return "⛹🏻♀️"; 33148 case 1704: return "⛹🏼♀️"; 33149 case 1705: return "⛹🏽♀️"; 33150 case 1706: return "⛹🏾♀️"; 33151 case 1707: return "⛹🏿♀️"; 33152 case 1708: return "🏋️"; 33153 case 1709: return "🏋🏻"; 33154 case 1710: return "🏋🏼"; 33155 case 1711: return "🏋🏽"; 33156 case 1712: return "🏋🏾"; 33157 case 1713: return "🏋🏿"; 33158 case 1714: return "🏋️♂️"; 33159 case 1715: return "🏋🏻♂️"; 33160 case 1716: return "🏋🏼♂️"; 33161 case 1717: return "🏋🏽♂️"; 33162 case 1718: return "🏋🏾♂️"; 33163 case 1719: return "🏋🏿♂️"; 33164 case 1720: return "🏋️♀️"; 33165 case 1721: return "🏋🏻♀️"; 33166 case 1722: return "🏋🏼♀️"; 33167 case 1723: return "🏋🏽♀️"; 33168 case 1724: return "🏋🏾♀️"; 33169 case 1725: return "🏋🏿♀️"; 33170 case 1726: return "🚴"; 33171 case 1727: return "🚴🏻"; 33172 case 1728: return "🚴🏼"; 33173 case 1729: return "🚴🏽"; 33174 case 1730: return "🚴🏾"; 33175 case 1731: return "🚴🏿"; 33176 case 1732: return "🚴♂️"; 33177 case 1733: return "🚴🏻♂️"; 33178 case 1734: return "🚴🏼♂️"; 33179 case 1735: return "🚴🏽♂️"; 33180 case 1736: return "🚴🏾♂️"; 33181 case 1737: return "🚴🏿♂️"; 33182 case 1738: return "🚴♀️"; 33183 case 1739: return "🚴🏻♀️"; 33184 case 1740: return "🚴🏼♀️"; 33185 case 1741: return "🚴🏽♀️"; 33186 case 1742: return "🚴🏾♀️"; 33187 case 1743: return "🚴🏿♀️"; 33188 case 1744: return "🚵"; 33189 case 1745: return "🚵🏻"; 33190 case 1746: return "🚵🏼"; 33191 case 1747: return "🚵🏽"; 33192 case 1748: return "🚵🏾"; 33193 case 1749: return "🚵🏿"; 33194 case 1750: return "🚵♂️"; 33195 case 1751: return "🚵🏻♂️"; 33196 case 1752: return "🚵🏼♂️"; 33197 case 1753: return "🚵🏽♂️"; 33198 case 1754: return "🚵🏾♂️"; 33199 case 1755: return "🚵🏿♂️"; 33200 case 1756: return "🚵♀️"; 33201 case 1757: return "🚵🏻♀️"; 33202 case 1758: return "🚵🏼♀️"; 33203 case 1759: return "🚵🏽♀️"; 33204 case 1760: return "🚵🏾♀️"; 33205 case 1761: return "🚵🏿♀️"; 33206 case 1762: return "🤸"; 33207 case 1763: return "🤸🏻"; 33208 case 1764: return "🤸🏼"; 33209 case 1765: return "🤸🏽"; 33210 case 1766: return "🤸🏾"; 33211 case 1767: return "🤸🏿"; 33212 case 1768: return "🤸♂️"; 33213 case 1769: return "🤸🏻♂️"; 33214 case 1770: return "🤸🏼♂️"; 33215 case 1771: return "🤸🏽♂️"; 33216 case 1772: return "🤸🏾♂️"; 33217 case 1773: return "🤸🏿♂️"; 33218 case 1774: return "🤸♀️"; 33219 case 1775: return "🤸🏻♀️"; 33220 case 1776: return "🤸🏼♀️"; 33221 case 1777: return "🤸🏽♀️"; 33222 case 1778: return "🤸🏾♀️"; 33223 case 1779: return "🤸🏿♀️"; 33224 case 1780: return "🤼"; 33225 case 1781: return "🤼♂️"; 33226 case 1782: return "🤼♀️"; 33227 case 1783: return "🤽"; 33228 case 1784: return "🤽🏻"; 33229 case 1785: return "🤽🏼"; 33230 case 1786: return "🤽🏽"; 33231 case 1787: return "🤽🏾"; 33232 case 1788: return "🤽🏿"; 33233 case 1789: return "🤽♂️"; 33234 case 1790: return "🤽🏻♂️"; 33235 case 1791: return "🤽🏼♂️"; 33236 case 1792: return "🤽🏽♂️"; 33237 case 1793: return "🤽🏾♂️"; 33238 case 1794: return "🤽🏿♂️"; 33239 case 1795: return "🤽♀️"; 33240 case 1796: return "🤽🏻♀️"; 33241 case 1797: return "🤽🏼♀️"; 33242 case 1798: return "🤽🏽♀️"; 33243 case 1799: return "🤽🏾♀️"; 33244 case 1800: return "🤽🏿♀️"; 33245 case 1801: return "🤾"; 33246 case 1802: return "🤾🏻"; 33247 case 1803: return "🤾🏼"; 33248 case 1804: return "🤾🏽"; 33249 case 1805: return "🤾🏾"; 33250 case 1806: return "🤾🏿"; 33251 case 1807: return "🤾♂️"; 33252 case 1808: return "🤾🏻♂️"; 33253 case 1809: return "🤾🏼♂️"; 33254 case 1810: return "🤾🏽♂️"; 33255 case 1811: return "🤾🏾♂️"; 33256 case 1812: return "🤾🏿♂️"; 33257 case 1813: return "🤾♀️"; 33258 case 1814: return "🤾🏻♀️"; 33259 case 1815: return "🤾🏼♀️"; 33260 case 1816: return "🤾🏽♀️"; 33261 case 1817: return "🤾🏾♀️"; 33262 case 1818: return "🤾🏿♀️"; 33263 case 1819: return "🤹"; 33264 case 1820: return "🤹🏻"; 33265 case 1821: return "🤹🏼"; 33266 case 1822: return "🤹🏽"; 33267 case 1823: return "🤹🏾"; 33268 case 1824: return "🤹🏿"; 33269 case 1825: return "🤹♂️"; 33270 case 1826: return "🤹🏻♂️"; 33271 case 1827: return "🤹🏼♂️"; 33272 case 1828: return "🤹🏽♂️"; 33273 case 1829: return "🤹🏾♂️"; 33274 case 1830: return "🤹🏿♂️"; 33275 case 1831: return "🤹♀️"; 33276 case 1832: return "🤹🏻♀️"; 33277 case 1833: return "🤹🏼♀️"; 33278 case 1834: return "🤹🏽♀️"; 33279 case 1835: return "🤹🏾♀️"; 33280 case 1836: return "🤹🏿♀️"; 33281 case 1837: return "🧘"; 33282 case 1838: return "🧘🏻"; 33283 case 1839: return "🧘🏼"; 33284 case 1840: return "🧘🏽"; 33285 case 1841: return "🧘🏾"; 33286 case 1842: return "🧘🏿"; 33287 case 1843: return "🧘♂️"; 33288 case 1844: return "🧘🏻♂️"; 33289 case 1845: return "🧘🏼♂️"; 33290 case 1846: return "🧘🏽♂️"; 33291 case 1847: return "🧘🏾♂️"; 33292 case 1848: return "🧘🏿♂️"; 33293 case 1849: return "🧘♀️"; 33294 case 1850: return "🧘🏻♀️"; 33295 case 1851: return "🧘🏼♀️"; 33296 case 1852: return "🧘🏽♀️"; 33297 case 1853: return "🧘🏾♀️"; 33298 case 1854: return "🧘🏿♀️"; 33299 case 1855: return "🛀"; 33300 case 1856: return "🛀🏻"; 33301 case 1857: return "🛀🏼"; 33302 case 1858: return "🛀🏽"; 33303 case 1859: return "🛀🏾"; 33304 case 1860: return "🛀🏿"; 33305 case 1861: return "🛌"; 33306 case 1862: return "🛌🏻"; 33307 case 1863: return "🛌🏼"; 33308 case 1864: return "🛌🏽"; 33309 case 1865: return "🛌🏾"; 33310 case 1866: return "🛌🏿"; 33311 case 1867: return "🧑🤝🧑"; 33312 case 1868: return "🧑🏻🤝🧑🏻"; 33313 case 1869: return "🧑🏻🤝🧑🏼"; 33314 case 1870: return "🧑🏻🤝🧑🏽"; 33315 case 1871: return "🧑🏻🤝🧑🏾"; 33316 case 1872: return "🧑🏻🤝🧑🏿"; 33317 case 1873: return "🧑🏼🤝🧑🏻"; 33318 case 1874: return "🧑🏼🤝🧑🏼"; 33319 case 1875: return "🧑🏼🤝🧑🏽"; 33320 case 1876: return "🧑🏼🤝🧑🏾"; 33321 case 1877: return "🧑🏼🤝🧑🏿"; 33322 case 1878: return "🧑🏽🤝🧑🏻"; 33323 case 1879: return "🧑🏽🤝🧑🏼"; 33324 case 1880: return "🧑🏽🤝🧑🏽"; 33325 case 1881: return "🧑🏽🤝🧑🏾"; 33326 case 1882: return "🧑🏽🤝🧑🏿"; 33327 case 1883: return "🧑🏾🤝🧑🏻"; 33328 case 1884: return "🧑🏾🤝🧑🏼"; 33329 case 1885: return "🧑🏾🤝🧑🏽"; 33330 case 1886: return "🧑🏾🤝🧑🏾"; 33331 case 1887: return "🧑🏾🤝🧑🏿"; 33332 case 1888: return "🧑🏿🤝🧑🏻"; 33333 case 1889: return "🧑🏿🤝🧑🏼"; 33334 case 1890: return "🧑🏿🤝🧑🏽"; 33335 case 1891: return "🧑🏿🤝🧑🏾"; 33336 case 1892: return "🧑🏿🤝🧑🏿"; 33337 case 1893: return "👭"; 33338 case 1894: return "👭🏻"; 33339 case 1895: return "👩🏻🤝👩🏼"; 33340 case 1896: return "👩🏻🤝👩🏽"; 33341 case 1897: return "👩🏻🤝👩🏾"; 33342 case 1898: return "👩🏻🤝👩🏿"; 33343 case 1899: return "👩🏼🤝👩🏻"; 33344 case 1900: return "👭🏼"; 33345 case 1901: return "👩🏼🤝👩🏽"; 33346 case 1902: return "👩🏼🤝👩🏾"; 33347 case 1903: return "👩🏼🤝👩🏿"; 33348 case 1904: return "👩🏽🤝👩🏻"; 33349 case 1905: return "👩🏽🤝👩🏼"; 33350 case 1906: return "👭🏽"; 33351 case 1907: return "👩🏽🤝👩🏾"; 33352 case 1908: return "👩🏽🤝👩🏿"; 33353 case 1909: return "👩🏾🤝👩🏻"; 33354 case 1910: return "👩🏾🤝👩🏼"; 33355 case 1911: return "👩🏾🤝👩🏽"; 33356 case 1912: return "👭🏾"; 33357 case 1913: return "👩🏾🤝👩🏿"; 33358 case 1914: return "👩🏿🤝👩🏻"; 33359 case 1915: return "👩🏿🤝👩🏼"; 33360 case 1916: return "👩🏿🤝👩🏽"; 33361 case 1917: return "👩🏿🤝👩🏾"; 33362 case 1918: return "👭🏿"; 33363 case 1919: return "👫"; 33364 case 1920: return "👫🏻"; 33365 case 1921: return "👩🏻🤝👨🏼"; 33366 case 1922: return "👩🏻🤝👨🏽"; 33367 case 1923: return "👩🏻🤝👨🏾"; 33368 case 1924: return "👩🏻🤝👨🏿"; 33369 case 1925: return "👩🏼🤝👨🏻"; 33370 case 1926: return "👫🏼"; 33371 case 1927: return "👩🏼🤝👨🏽"; 33372 case 1928: return "👩🏼🤝👨🏾"; 33373 case 1929: return "👩🏼🤝👨🏿"; 33374 case 1930: return "👩🏽🤝👨🏻"; 33375 case 1931: return "👩🏽🤝👨🏼"; 33376 case 1932: return "👫🏽"; 33377 case 1933: return "👩🏽🤝👨🏾"; 33378 case 1934: return "👩🏽🤝👨🏿"; 33379 case 1935: return "👩🏾🤝👨🏻"; 33380 case 1936: return "👩🏾🤝👨🏼"; 33381 case 1937: return "👩🏾🤝👨🏽"; 33382 case 1938: return "👫🏾"; 33383 case 1939: return "👩🏾🤝👨🏿"; 33384 case 1940: return "👩🏿🤝👨🏻"; 33385 case 1941: return "👩🏿🤝👨🏼"; 33386 case 1942: return "👩🏿🤝👨🏽"; 33387 case 1943: return "👩🏿🤝👨🏾"; 33388 case 1944: return "👫🏿"; 33389 case 1945: return "👬"; 33390 case 1946: return "👬🏻"; 33391 case 1947: return "👨🏻🤝👨🏼"; 33392 case 1948: return "👨🏻🤝👨🏽"; 33393 case 1949: return "👨🏻🤝👨🏾"; 33394 case 1950: return "👨🏻🤝👨🏿"; 33395 case 1951: return "👨🏼🤝👨🏻"; 33396 case 1952: return "👬🏼"; 33397 case 1953: return "👨🏼🤝👨🏽"; 33398 case 1954: return "👨🏼🤝👨🏾"; 33399 case 1955: return "👨🏼🤝👨🏿"; 33400 case 1956: return "👨🏽🤝👨🏻"; 33401 case 1957: return "👨🏽🤝👨🏼"; 33402 case 1958: return "👬🏽"; 33403 case 1959: return "👨🏽🤝👨🏾"; 33404 case 1960: return "👨🏽🤝👨🏿"; 33405 case 1961: return "👨🏾🤝👨🏻"; 33406 case 1962: return "👨🏾🤝👨🏼"; 33407 case 1963: return "👨🏾🤝👨🏽"; 33408 case 1964: return "👬🏾"; 33409 case 1965: return "👨🏾🤝👨🏿"; 33410 case 1966: return "👨🏿🤝👨🏻"; 33411 case 1967: return "👨🏿🤝👨🏼"; 33412 case 1968: return "👨🏿🤝👨🏽"; 33413 case 1969: return "👨🏿🤝👨🏾"; 33414 case 1970: return "👬🏿"; 33415 case 1971: return "💏"; 33416 case 1972: return "💏🏻"; 33417 case 1973: return "💏🏼"; 33418 case 1974: return "💏🏽"; 33419 case 1975: return "💏🏾"; 33420 case 1976: return "💏🏿"; 33421 case 1977: return "🧑🏻❤️💋🧑🏼"; 33422 case 1978: return "🧑🏻❤️💋🧑🏽"; 33423 case 1979: return "🧑🏻❤️💋🧑🏾"; 33424 case 1980: return "🧑🏻❤️💋🧑🏿"; 33425 case 1981: return "🧑🏼❤️💋🧑🏻"; 33426 case 1982: return "🧑🏼❤️💋🧑🏽"; 33427 case 1983: return "🧑🏼❤️💋🧑🏾"; 33428 case 1984: return "🧑🏼❤️💋🧑🏿"; 33429 case 1985: return "🧑🏽❤️💋🧑🏻"; 33430 case 1986: return "🧑🏽❤️💋🧑🏼"; 33431 case 1987: return "🧑🏽❤️💋🧑🏾"; 33432 case 1988: return "🧑🏽❤️💋🧑🏿"; 33433 case 1989: return "🧑🏾❤️💋🧑🏻"; 33434 case 1990: return "🧑🏾❤️💋🧑🏼"; 33435 case 1991: return "🧑🏾❤️💋🧑🏽"; 33436 case 1992: return "🧑🏾❤️💋🧑🏿"; 33437 case 1993: return "🧑🏿❤️💋🧑🏻"; 33438 case 1994: return "🧑🏿❤️💋🧑🏼"; 33439 case 1995: return "🧑🏿❤️💋🧑🏽"; 33440 case 1996: return "🧑🏿❤️💋🧑🏾"; 33441 case 1997: return "👩❤️💋👨"; 33442 case 1998: return "👩🏻❤️💋👨🏻"; 33443 case 1999: return "👩🏻❤️💋👨🏼"; 33444 case 2000: return "👩🏻❤️💋👨🏽"; 33445 case 2001: return "👩🏻❤️💋👨🏾"; 33446 case 2002: return "👩🏻❤️💋👨🏿"; 33447 case 2003: return "👩🏼❤️💋👨🏻"; 33448 case 2004: return "👩🏼❤️💋👨🏼"; 33449 case 2005: return "👩🏼❤️💋👨🏽"; 33450 case 2006: return "👩🏼❤️💋👨🏾"; 33451 case 2007: return "👩🏼❤️💋👨🏿"; 33452 case 2008: return "👩🏽❤️💋👨🏻"; 33453 case 2009: return "👩🏽❤️💋👨🏼"; 33454 case 2010: return "👩🏽❤️💋👨🏽"; 33455 case 2011: return "👩🏽❤️💋👨🏾"; 33456 case 2012: return "👩🏽❤️💋👨🏿"; 33457 case 2013: return "👩🏾❤️💋👨🏻"; 33458 case 2014: return "👩🏾❤️💋👨🏼"; 33459 case 2015: return "👩🏾❤️💋👨🏽"; 33460 case 2016: return "👩🏾❤️💋👨🏾"; 33461 case 2017: return "👩🏾❤️💋👨🏿"; 33462 case 2018: return "👩🏿❤️💋👨🏻"; 33463 case 2019: return "👩🏿❤️💋👨🏼"; 33464 case 2020: return "👩🏿❤️💋👨🏽"; 33465 case 2021: return "👩🏿❤️💋👨🏾"; 33466 case 2022: return "👩🏿❤️💋👨🏿"; 33467 case 2023: return "👨❤️💋👨"; 33468 case 2024: return "👨🏻❤️💋👨🏻"; 33469 case 2025: return "👨🏻❤️💋👨🏼"; 33470 case 2026: return "👨🏻❤️💋👨🏽"; 33471 case 2027: return "👨🏻❤️💋👨🏾"; 33472 case 2028: return "👨🏻❤️💋👨🏿"; 33473 case 2029: return "👨🏼❤️💋👨🏻"; 33474 case 2030: return "👨🏼❤️💋👨🏼"; 33475 case 2031: return "👨🏼❤️💋👨🏽"; 33476 case 2032: return "👨🏼❤️💋👨🏾"; 33477 case 2033: return "👨🏼❤️💋👨🏿"; 33478 case 2034: return "👨🏽❤️💋👨🏻"; 33479 case 2035: return "👨🏽❤️💋👨🏼"; 33480 case 2036: return "👨🏽❤️💋👨🏽"; 33481 case 2037: return "👨🏽❤️💋👨🏾"; 33482 case 2038: return "👨🏽❤️💋👨🏿"; 33483 case 2039: return "👨🏾❤️💋👨🏻"; 33484 case 2040: return "👨🏾❤️💋👨🏼"; 33485 case 2041: return "👨🏾❤️💋👨🏽"; 33486 case 2042: return "👨🏾❤️💋👨🏾"; 33487 case 2043: return "👨🏾❤️💋👨🏿"; 33488 case 2044: return "👨🏿❤️💋👨🏻"; 33489 case 2045: return "👨🏿❤️💋👨🏼"; 33490 case 2046: return "👨🏿❤️💋👨🏽"; 33491 case 2047: return "👨🏿❤️💋👨🏾"; 33492 case 2048: return "👨🏿❤️💋👨🏿"; 33493 case 2049: return "👩❤️💋👩"; 33494 case 2050: return "👩🏻❤️💋👩🏻"; 33495 case 2051: return "👩🏻❤️💋👩🏼"; 33496 case 2052: return "👩🏻❤️💋👩🏽"; 33497 case 2053: return "👩🏻❤️💋👩🏾"; 33498 case 2054: return "👩🏻❤️💋👩🏿"; 33499 case 2055: return "👩🏼❤️💋👩🏻"; 33500 case 2056: return "👩🏼❤️💋👩🏼"; 33501 case 2057: return "👩🏼❤️💋👩🏽"; 33502 case 2058: return "👩🏼❤️💋👩🏾"; 33503 case 2059: return "👩🏼❤️💋👩🏿"; 33504 case 2060: return "👩🏽❤️💋👩🏻"; 33505 case 2061: return "👩🏽❤️💋👩🏼"; 33506 case 2062: return "👩🏽❤️💋👩🏽"; 33507 case 2063: return "👩🏽❤️💋👩🏾"; 33508 case 2064: return "👩🏽❤️💋👩🏿"; 33509 case 2065: return "👩🏾❤️💋👩🏻"; 33510 case 2066: return "👩🏾❤️💋👩🏼"; 33511 case 2067: return "👩🏾❤️💋👩🏽"; 33512 case 2068: return "👩🏾❤️💋👩🏾"; 33513 case 2069: return "👩🏾❤️💋👩🏿"; 33514 case 2070: return "👩🏿❤️💋👩🏻"; 33515 case 2071: return "👩🏿❤️💋👩🏼"; 33516 case 2072: return "👩🏿❤️💋👩🏽"; 33517 case 2073: return "👩🏿❤️💋👩🏾"; 33518 case 2074: return "👩🏿❤️💋👩🏿"; 33519 case 2075: return "💑"; 33520 case 2076: return "💑🏻"; 33521 case 2077: return "💑🏼"; 33522 case 2078: return "💑🏽"; 33523 case 2079: return "💑🏾"; 33524 case 2080: return "💑🏿"; 33525 case 2081: return "🧑🏻❤️🧑🏼"; 33526 case 2082: return "🧑🏻❤️🧑🏽"; 33527 case 2083: return "🧑🏻❤️🧑🏾"; 33528 case 2084: return "🧑🏻❤️🧑🏿"; 33529 case 2085: return "🧑🏼❤️🧑🏻"; 33530 case 2086: return "🧑🏼❤️🧑🏽"; 33531 case 2087: return "🧑🏼❤️🧑🏾"; 33532 case 2088: return "🧑🏼❤️🧑🏿"; 33533 case 2089: return "🧑🏽❤️🧑🏻"; 33534 case 2090: return "🧑🏽❤️🧑🏼"; 33535 case 2091: return "🧑🏽❤️🧑🏾"; 33536 case 2092: return "🧑🏽❤️🧑🏿"; 33537 case 2093: return "🧑🏾❤️🧑🏻"; 33538 case 2094: return "🧑🏾❤️🧑🏼"; 33539 case 2095: return "🧑🏾❤️🧑🏽"; 33540 case 2096: return "🧑🏾❤️🧑🏿"; 33541 case 2097: return "🧑🏿❤️🧑🏻"; 33542 case 2098: return "🧑🏿❤️🧑🏼"; 33543 case 2099: return "🧑🏿❤️🧑🏽"; 33544 case 2100: return "🧑🏿❤️🧑🏾"; 33545 case 2101: return "👩❤️👨"; 33546 case 2102: return "👩🏻❤️👨🏻"; 33547 case 2103: return "👩🏻❤️👨🏼"; 33548 case 2104: return "👩🏻❤️👨🏽"; 33549 case 2105: return "👩🏻❤️👨🏾"; 33550 case 2106: return "👩🏻❤️👨🏿"; 33551 case 2107: return "👩🏼❤️👨🏻"; 33552 case 2108: return "👩🏼❤️👨🏼"; 33553 case 2109: return "👩🏼❤️👨🏽"; 33554 case 2110: return "👩🏼❤️👨🏾"; 33555 case 2111: return "👩🏼❤️👨🏿"; 33556 case 2112: return "👩🏽❤️👨🏻"; 33557 case 2113: return "👩🏽❤️👨🏼"; 33558 case 2114: return "👩🏽❤️👨🏽"; 33559 case 2115: return "👩🏽❤️👨🏾"; 33560 case 2116: return "👩🏽❤️👨🏿"; 33561 case 2117: return "👩🏾❤️👨🏻"; 33562 case 2118: return "👩🏾❤️👨🏼"; 33563 case 2119: return "👩🏾❤️👨🏽"; 33564 case 2120: return "👩🏾❤️👨🏾"; 33565 case 2121: return "👩🏾❤️👨🏿"; 33566 case 2122: return "👩🏿❤️👨🏻"; 33567 case 2123: return "👩🏿❤️👨🏼"; 33568 case 2124: return "👩🏿❤️👨🏽"; 33569 case 2125: return "👩🏿❤️👨🏾"; 33570 case 2126: return "👩🏿❤️👨🏿"; 33571 case 2127: return "👨❤️👨"; 33572 case 2128: return "👨🏻❤️👨🏻"; 33573 case 2129: return "👨🏻❤️👨🏼"; 33574 case 2130: return "👨🏻❤️👨🏽"; 33575 case 2131: return "👨🏻❤️👨🏾"; 33576 case 2132: return "👨🏻❤️👨🏿"; 33577 case 2133: return "👨🏼❤️👨🏻"; 33578 case 2134: return "👨🏼❤️👨🏼"; 33579 case 2135: return "👨🏼❤️👨🏽"; 33580 case 2136: return "👨🏼❤️👨🏾"; 33581 case 2137: return "👨🏼❤️👨🏿"; 33582 case 2138: return "👨🏽❤️👨🏻"; 33583 case 2139: return "👨🏽❤️👨🏼"; 33584 case 2140: return "👨🏽❤️👨🏽"; 33585 case 2141: return "👨🏽❤️👨🏾"; 33586 case 2142: return "👨🏽❤️👨🏿"; 33587 case 2143: return "👨🏾❤️👨🏻"; 33588 case 2144: return "👨🏾❤️👨🏼"; 33589 case 2145: return "👨🏾❤️👨🏽"; 33590 case 2146: return "👨🏾❤️👨🏾"; 33591 case 2147: return "👨🏾❤️👨🏿"; 33592 case 2148: return "👨🏿❤️👨🏻"; 33593 case 2149: return "👨🏿❤️👨🏼"; 33594 case 2150: return "👨🏿❤️👨🏽"; 33595 case 2151: return "👨🏿❤️👨🏾"; 33596 case 2152: return "👨🏿❤️👨🏿"; 33597 case 2153: return "👩❤️👩"; 33598 case 2154: return "👩🏻❤️👩🏻"; 33599 case 2155: return "👩🏻❤️👩🏼"; 33600 case 2156: return "👩🏻❤️👩🏽"; 33601 case 2157: return "👩🏻❤️👩🏾"; 33602 case 2158: return "👩🏻❤️👩🏿"; 33603 case 2159: return "👩🏼❤️👩🏻"; 33604 case 2160: return "👩🏼❤️👩🏼"; 33605 case 2161: return "👩🏼❤️👩🏽"; 33606 case 2162: return "👩🏼❤️👩🏾"; 33607 case 2163: return "👩🏼❤️👩🏿"; 33608 case 2164: return "👩🏽❤️👩🏻"; 33609 case 2165: return "👩🏽❤️👩🏼"; 33610 case 2166: return "👩🏽❤️👩🏽"; 33611 case 2167: return "👩🏽❤️👩🏾"; 33612 case 2168: return "👩🏽❤️👩🏿"; 33613 case 2169: return "👩🏾❤️👩🏻"; 33614 case 2170: return "👩🏾❤️👩🏼"; 33615 case 2171: return "👩🏾❤️👩🏽"; 33616 case 2172: return "👩🏾❤️👩🏾"; 33617 case 2173: return "👩🏾❤️👩🏿"; 33618 case 2174: return "👩🏿❤️👩🏻"; 33619 case 2175: return "👩🏿❤️👩🏼"; 33620 case 2176: return "👩🏿❤️👩🏽"; 33621 case 2177: return "👩🏿❤️👩🏾"; 33622 case 2178: return "👩🏿❤️👩🏿"; 33623 case 2179: return "👪"; 33624 case 2180: return "👨👩👦"; 33625 case 2181: return "👨👩👧"; 33626 case 2182: return "👨👩👧👦"; 33627 case 2183: return "👨👩👦👦"; 33628 case 2184: return "👨👩👧👧"; 33629 case 2185: return "👨👨👦"; 33630 case 2186: return "👨👨👧"; 33631 case 2187: return "👨👨👧👦"; 33632 case 2188: return "👨👨👦👦"; 33633 case 2189: return "👨👨👧👧"; 33634 case 2190: return "👩👩👦"; 33635 case 2191: return "👩👩👧"; 33636 case 2192: return "👩👩👧👦"; 33637 case 2193: return "👩👩👦👦"; 33638 case 2194: return "👩👩👧👧"; 33639 case 2195: return "👨👦"; 33640 case 2196: return "👨👦👦"; 33641 case 2197: return "👨👧"; 33642 case 2198: return "👨👧👦"; 33643 case 2199: return "👨👧👧"; 33644 case 2200: return "👩👦"; 33645 case 2201: return "👩👦👦"; 33646 case 2202: return "👩👧"; 33647 case 2203: return "👩👧👦"; 33648 case 2204: return "👩👧👧"; 33649 case 2205: return "🗣️"; 33650 case 2206: return "👤"; 33651 case 2207: return "👥"; 33652 case 2208: return "🫂"; 33653 case 2209: return "👣"; 33654 case 2210: return "]"; 33655 case 2211: return "nature: ["; 33656 case 2212: return "🐵"; 33657 case 2213: return "🐒"; 33658 case 2214: return "🦍"; 33659 case 2215: return "🦧"; 33660 case 2216: return "🐶"; 33661 case 2217: return "🐕"; 33662 case 2218: return "🦮"; 33663 case 2219: return "🐕🦺"; 33664 case 2220: return "🐩"; 33665 case 2221: return "🐺"; 33666 case 2222: return "🦊"; 33667 case 2223: return "🦝"; 33668 case 2224: return "🐱"; 33669 case 2225: return "🐈"; 33670 case 2226: return "🐈⬛"; 33671 case 2227: return "🦁"; 33672 case 2228: return "🐯"; 33673 case 2229: return "🐅"; 33674 case 2230: return "🐆"; 33675 case 2231: return "🐴"; 33676 case 2232: return "🐎"; 33677 case 2233: return "🦄"; 33678 case 2234: return "🦓"; 33679 case 2235: return "🦌"; 33680 case 2236: return "🦬"; 33681 case 2237: return "🐮"; 33682 case 2238: return "🐂"; 33683 case 2239: return "🐃"; 33684 case 2240: return "🐄"; 33685 case 2241: return "🐷"; 33686 case 2242: return "🐖"; 33687 case 2243: return "🐗"; 33688 case 2244: return "🐽"; 33689 case 2245: return "🐏"; 33690 case 2246: return "🐑"; 33691 case 2247: return "🐐"; 33692 case 2248: return "🐪"; 33693 case 2249: return "🐫"; 33694 case 2250: return "🦙"; 33695 case 2251: return "🦒"; 33696 case 2252: return "🐘"; 33697 case 2253: return "🦣"; 33698 case 2254: return "🦏"; 33699 case 2255: return "🦛"; 33700 case 2256: return "🐭"; 33701 case 2257: return "🐁"; 33702 case 2258: return "🐀"; 33703 case 2259: return "🐹"; 33704 case 2260: return "🐰"; 33705 case 2261: return "🐇"; 33706 case 2262: return "🐿️"; 33707 case 2263: return "🦫"; 33708 case 2264: return "🦔"; 33709 case 2265: return "🦇"; 33710 case 2266: return "🐻"; 33711 case 2267: return "🐻❄️"; 33712 case 2268: return "🐨"; 33713 case 2269: return "🐼"; 33714 case 2270: return "🦥"; 33715 case 2271: return "🦦"; 33716 case 2272: return "🦨"; 33717 case 2273: return "🦘"; 33718 case 2274: return "🦡"; 33719 case 2275: return "🐾"; 33720 case 2276: return "🦃"; 33721 case 2277: return "🐔"; 33722 case 2278: return "🐓"; 33723 case 2279: return "🐣"; 33724 case 2280: return "🐤"; 33725 case 2281: return "🐥"; 33726 case 2282: return "🐦"; 33727 case 2283: return "🐧"; 33728 case 2284: return "🕊️"; 33729 case 2285: return "🦅"; 33730 case 2286: return "🦆"; 33731 case 2287: return "🦢"; 33732 case 2288: return "🦉"; 33733 case 2289: return "🦤"; 33734 case 2290: return "🪶"; 33735 case 2291: return "🦩"; 33736 case 2292: return "🦚"; 33737 case 2293: return "🦜"; 33738 case 2294: return "🐸"; 33739 case 2295: return "🐊"; 33740 case 2296: return "🐢"; 33741 case 2297: return "🦎"; 33742 case 2298: return "🐍"; 33743 case 2299: return "🐲"; 33744 case 2300: return "🐉"; 33745 case 2301: return "🦕"; 33746 case 2302: return "🦖"; 33747 case 2303: return "🐳"; 33748 case 2304: return "🐋"; 33749 case 2305: return "🐬"; 33750 case 2306: return "🦭"; 33751 case 2307: return "🐟"; 33752 case 2308: return "🐠"; 33753 case 2309: return "🐡"; 33754 case 2310: return "🦈"; 33755 case 2311: return "🐙"; 33756 case 2312: return "🐚"; 33757 case 2313: return "🐌"; 33758 case 2314: return "🦋"; 33759 case 2315: return "🐛"; 33760 case 2316: return "🐜"; 33761 case 2317: return "🐝"; 33762 case 2318: return "🪲"; 33763 case 2319: return "🐞"; 33764 case 2320: return "🦗"; 33765 case 2321: return "🪳"; 33766 case 2322: return "🕷️"; 33767 case 2323: return "🕸️"; 33768 case 2324: return "🦂"; 33769 case 2325: return "🦟"; 33770 case 2326: return "🪰"; 33771 case 2327: return "🪱"; 33772 case 2328: return "🦠"; 33773 case 2329: return "💐"; 33774 case 2330: return "🌸"; 33775 case 2331: return "💮"; 33776 case 2332: return "🏵️"; 33777 case 2333: return "🌹"; 33778 case 2334: return "🥀"; 33779 case 2335: return "🌺"; 33780 case 2336: return "🌻"; 33781 case 2337: return "🌼"; 33782 case 2338: return "🌷"; 33783 case 2339: return "🌱"; 33784 case 2340: return "🪴"; 33785 case 2341: return "🌲"; 33786 case 2342: return "🌳"; 33787 case 2343: return "🌴"; 33788 case 2344: return "🌵"; 33789 case 2345: return "🌾"; 33790 case 2346: return "🌿"; 33791 case 2347: return "☘️"; 33792 case 2348: return "🍀"; 33793 case 2349: return "🍁"; 33794 case 2350: return "🍂"; 33795 case 2351: return "🍃"; 33796 case 2352: return "]"; 33797 case 2353: return "food: ["; 33798 case 2354: return "🍇"; 33799 case 2355: return "🍈"; 33800 case 2356: return "🍉"; 33801 case 2357: return "🍊"; 33802 case 2358: return "🍋"; 33803 case 2359: return "🍌"; 33804 case 2360: return "🍍"; 33805 case 2361: return "🥭"; 33806 case 2362: return "🍎"; 33807 case 2363: return "🍏"; 33808 case 2364: return "🍐"; 33809 case 2365: return "🍑"; 33810 case 2366: return "🍒"; 33811 case 2367: return "🍓"; 33812 case 2368: return "🫐"; 33813 case 2369: return "🥝"; 33814 case 2370: return "🍅"; 33815 case 2371: return "🫒"; 33816 case 2372: return "🥥"; 33817 case 2373: return "🥑"; 33818 case 2374: return "🍆"; 33819 case 2375: return "🥔"; 33820 case 2376: return "🥕"; 33821 case 2377: return "🌽"; 33822 case 2378: return "🌶️"; 33823 case 2379: return "🫑"; 33824 case 2380: return "🥒"; 33825 case 2381: return "🥬"; 33826 case 2382: return "🥦"; 33827 case 2383: return "🧄"; 33828 case 2384: return "🧅"; 33829 case 2385: return "🍄"; 33830 case 2386: return "🥜"; 33831 case 2387: return "🌰"; 33832 case 2388: return "🍞"; 33833 case 2389: return "🥐"; 33834 case 2390: return "🥖"; 33835 case 2391: return "🫓"; 33836 case 2392: return "🥨"; 33837 case 2393: return "🥯"; 33838 case 2394: return "🥞"; 33839 case 2395: return "🧇"; 33840 case 2396: return "🧀"; 33841 case 2397: return "🍖"; 33842 case 2398: return "🍗"; 33843 case 2399: return "🥩"; 33844 case 2400: return "🥓"; 33845 case 2401: return "🍔"; 33846 case 2402: return "🍟"; 33847 case 2403: return "🍕"; 33848 case 2404: return "🌭"; 33849 case 2405: return "🥪"; 33850 case 2406: return "🌮"; 33851 case 2407: return "🌯"; 33852 case 2408: return "🫔"; 33853 case 2409: return "🥙"; 33854 case 2410: return "🧆"; 33855 case 2411: return "🥚"; 33856 case 2412: return "🍳"; 33857 case 2413: return "🥘"; 33858 case 2414: return "🍲"; 33859 case 2415: return "🫕"; 33860 case 2416: return "🥣"; 33861 case 2417: return "🥗"; 33862 case 2418: return "🍿"; 33863 case 2419: return "🧈"; 33864 case 2420: return "🧂"; 33865 case 2421: return "🥫"; 33866 case 2422: return "🍱"; 33867 case 2423: return "🍘"; 33868 case 2424: return "🍙"; 33869 case 2425: return "🍚"; 33870 case 2426: return "🍛"; 33871 case 2427: return "🍜"; 33872 case 2428: return "🍝"; 33873 case 2429: return "🍠"; 33874 case 2430: return "🍢"; 33875 case 2431: return "🍣"; 33876 case 2432: return "🍤"; 33877 case 2433: return "🍥"; 33878 case 2434: return "🥮"; 33879 case 2435: return "🍡"; 33880 case 2436: return "🥟"; 33881 case 2437: return "🥠"; 33882 case 2438: return "🥡"; 33883 case 2439: return "🦀"; 33884 case 2440: return "🦞"; 33885 case 2441: return "🦐"; 33886 case 2442: return "🦑"; 33887 case 2443: return "🦪"; 33888 case 2444: return "🍦"; 33889 case 2445: return "🍧"; 33890 case 2446: return "🍨"; 33891 case 2447: return "🍩"; 33892 case 2448: return "🍪"; 33893 case 2449: return "🎂"; 33894 case 2450: return "🍰"; 33895 case 2451: return "🧁"; 33896 case 2452: return "🥧"; 33897 case 2453: return "🍫"; 33898 case 2454: return "🍬"; 33899 case 2455: return "🍭"; 33900 case 2456: return "🍮"; 33901 case 2457: return "🍯"; 33902 case 2458: return "🍼"; 33903 case 2459: return "🥛"; 33904 case 2460: return "☕"; 33905 case 2461: return "🫖"; 33906 case 2462: return "🍵"; 33907 case 2463: return "🍶"; 33908 case 2464: return "🍾"; 33909 case 2465: return "🍷"; 33910 case 2466: return "🍸"; 33911 case 2467: return "🍹"; 33912 case 2468: return "🍺"; 33913 case 2469: return "🍻"; 33914 case 2470: return "🥂"; 33915 case 2471: return "🥃"; 33916 case 2472: return "🥤"; 33917 case 2473: return "🧋"; 33918 case 2474: return "🧃"; 33919 case 2475: return "🧉"; 33920 case 2476: return "🧊"; 33921 case 2477: return "🥢"; 33922 case 2478: return "🍽️"; 33923 case 2479: return "🍴"; 33924 case 2480: return "🥄"; 33925 case 2481: return "🔪"; 33926 case 2482: return "🏺"; 33927 case 2483: return "]"; 33928 case 2484: return "travel: ["; 33929 case 2485: return "🌍"; 33930 case 2486: return "🌎"; 33931 case 2487: return "🌏"; 33932 case 2488: return "🌐"; 33933 case 2489: return "🗺️"; 33934 case 2490: return "🗾"; 33935 case 2491: return "🧭"; 33936 case 2492: return "🏔️"; 33937 case 2493: return "⛰️"; 33938 case 2494: return "🌋"; 33939 case 2495: return "🗻"; 33940 case 2496: return "🏕️"; 33941 case 2497: return "🏖️"; 33942 case 2498: return "🏜️"; 33943 case 2499: return "🏝️"; 33944 case 2500: return "🏞️"; 33945 case 2501: return "🏟️"; 33946 case 2502: return "🏛️"; 33947 case 2503: return "🏗️"; 33948 case 2504: return "🧱"; 33949 case 2505: return "🪨"; 33950 case 2506: return "🪵"; 33951 case 2507: return "🛖"; 33952 case 2508: return "🏘️"; 33953 case 2509: return "🏚️"; 33954 case 2510: return "🏠"; 33955 case 2511: return "🏡"; 33956 case 2512: return "🏢"; 33957 case 2513: return "🏣"; 33958 case 2514: return "🏤"; 33959 case 2515: return "🏥"; 33960 case 2516: return "🏦"; 33961 case 2517: return "🏨"; 33962 case 2518: return "🏩"; 33963 case 2519: return "🏪"; 33964 case 2520: return "🏫"; 33965 case 2521: return "🏬"; 33966 case 2522: return "🏭"; 33967 case 2523: return "🏯"; 33968 case 2524: return "🏰"; 33969 case 2525: return "💒"; 33970 case 2526: return "🗼"; 33971 case 2527: return "🗽"; 33972 case 2528: return "⛪"; 33973 case 2529: return "🕌"; 33974 case 2530: return "🛕"; 33975 case 2531: return "🕍"; 33976 case 2532: return "⛩️"; 33977 case 2533: return "🕋"; 33978 case 2534: return "⛲"; 33979 case 2535: return "⛺"; 33980 case 2536: return "🌁"; 33981 case 2537: return "🌃"; 33982 case 2538: return "🏙️"; 33983 case 2539: return "🌄"; 33984 case 2540: return "🌅"; 33985 case 2541: return "🌆"; 33986 case 2542: return "🌇"; 33987 case 2543: return "🌉"; 33988 case 2544: return "♨️"; 33989 case 2545: return "🎠"; 33990 case 2546: return "🎡"; 33991 case 2547: return "🎢"; 33992 case 2548: return "💈"; 33993 case 2549: return "🎪"; 33994 case 2550: return "🚂"; 33995 case 2551: return "🚃"; 33996 case 2552: return "🚄"; 33997 case 2553: return "🚅"; 33998 case 2554: return "🚆"; 33999 case 2555: return "🚇"; 34000 case 2556: return "🚈"; 34001 case 2557: return "🚉"; 34002 case 2558: return "🚊"; 34003 case 2559: return "🚝"; 34004 case 2560: return "🚞"; 34005 case 2561: return "🚋"; 34006 case 2562: return "🚌"; 34007 case 2563: return "🚍"; 34008 case 2564: return "🚎"; 34009 case 2565: return "🚐"; 34010 case 2566: return "🚑"; 34011 case 2567: return "🚒"; 34012 case 2568: return "🚓"; 34013 case 2569: return "🚔"; 34014 case 2570: return "🚕"; 34015 case 2571: return "🚖"; 34016 case 2572: return "🚗"; 34017 case 2573: return "🚘"; 34018 case 2574: return "🚙"; 34019 case 2575: return "🛻"; 34020 case 2576: return "🚚"; 34021 case 2577: return "🚛"; 34022 case 2578: return "🚜"; 34023 case 2579: return "🏎️"; 34024 case 2580: return "🏍️"; 34025 case 2581: return "🛵"; 34026 case 2582: return "🦽"; 34027 case 2583: return "🦼"; 34028 case 2584: return "🛺"; 34029 case 2585: return "🚲"; 34030 case 2586: return "🛴"; 34031 case 2587: return "🛹"; 34032 case 2588: return "🛼"; 34033 case 2589: return "🚏"; 34034 case 2590: return "🛣️"; 34035 case 2591: return "🛤️"; 34036 case 2592: return "🛢️"; 34037 case 2593: return "⛽"; 34038 case 2594: return "🚨"; 34039 case 2595: return "🚥"; 34040 case 2596: return "🚦"; 34041 case 2597: return "🛑"; 34042 case 2598: return "🚧"; 34043 case 2599: return "⚓"; 34044 case 2600: return "⛵"; 34045 case 2601: return "🛶"; 34046 case 2602: return "🚤"; 34047 case 2603: return "🛳️"; 34048 case 2604: return "⛴️"; 34049 case 2605: return "🛥️"; 34050 case 2606: return "🚢"; 34051 case 2607: return "✈️"; 34052 case 2608: return "🛩️"; 34053 case 2609: return "🛫"; 34054 case 2610: return "🛬"; 34055 case 2611: return "🪂"; 34056 case 2612: return "💺"; 34057 case 2613: return "🚁"; 34058 case 2614: return "🚟"; 34059 case 2615: return "🚠"; 34060 case 2616: return "🚡"; 34061 case 2617: return "🛰️"; 34062 case 2618: return "🚀"; 34063 case 2619: return "🛸"; 34064 case 2620: return "🛎️"; 34065 case 2621: return "🧳"; 34066 case 2622: return "⌛"; 34067 case 2623: return "⏳"; 34068 case 2624: return "⌚"; 34069 case 2625: return "⏰"; 34070 case 2626: return "⏱️"; 34071 case 2627: return "⏲️"; 34072 case 2628: return "🕰️"; 34073 case 2629: return "🕛"; 34074 case 2630: return "🕧"; 34075 case 2631: return "🕐"; 34076 case 2632: return "🕜"; 34077 case 2633: return "🕑"; 34078 case 2634: return "🕝"; 34079 case 2635: return "🕒"; 34080 case 2636: return "🕞"; 34081 case 2637: return "🕓"; 34082 case 2638: return "🕟"; 34083 case 2639: return "🕔"; 34084 case 2640: return "🕠"; 34085 case 2641: return "🕕"; 34086 case 2642: return "🕡"; 34087 case 2643: return "🕖"; 34088 case 2644: return "🕢"; 34089 case 2645: return "🕗"; 34090 case 2646: return "🕣"; 34091 case 2647: return "🕘"; 34092 case 2648: return "🕤"; 34093 case 2649: return "🕙"; 34094 case 2650: return "🕥"; 34095 case 2651: return "🕚"; 34096 case 2652: return "🕦"; 34097 case 2653: return "🌑"; 34098 case 2654: return "🌒"; 34099 case 2655: return "🌓"; 34100 case 2656: return "🌔"; 34101 case 2657: return "🌕"; 34102 case 2658: return "🌖"; 34103 case 2659: return "🌗"; 34104 case 2660: return "🌘"; 34105 case 2661: return "🌙"; 34106 case 2662: return "🌚"; 34107 case 2663: return "🌛"; 34108 case 2664: return "🌜"; 34109 case 2665: return "🌡️"; 34110 case 2666: return "☀️"; 34111 case 2667: return "🌝"; 34112 case 2668: return "🌞"; 34113 case 2669: return "🪐"; 34114 case 2670: return "⭐"; 34115 case 2671: return "🌟"; 34116 case 2672: return "🌠"; 34117 case 2673: return "🌌"; 34118 case 2674: return "☁️"; 34119 case 2675: return "⛅"; 34120 case 2676: return "⛈️"; 34121 case 2677: return "🌤️"; 34122 case 2678: return "🌥️"; 34123 case 2679: return "🌦️"; 34124 case 2680: return "🌧️"; 34125 case 2681: return "🌨️"; 34126 case 2682: return "🌩️"; 34127 case 2683: return "🌪️"; 34128 case 2684: return "🌫️"; 34129 case 2685: return "🌬️"; 34130 case 2686: return "🌀"; 34131 case 2687: return "🌈"; 34132 case 2688: return "🌂"; 34133 case 2689: return "☂️"; 34134 case 2690: return "☔"; 34135 case 2691: return "⛱️"; 34136 case 2692: return "⚡"; 34137 case 2693: return "❄️"; 34138 case 2694: return "☃️"; 34139 case 2695: return "⛄"; 34140 case 2696: return "☄️"; 34141 case 2697: return "🔥"; 34142 case 2698: return "💧"; 34143 case 2699: return "🌊"; 34144 case 2700: return "]"; 34145 case 2701: return "activity: ["; 34146 case 2702: return "🎃"; 34147 case 2703: return "🎄"; 34148 case 2704: return "🎆"; 34149 case 2705: return "🎇"; 34150 case 2706: return "🧨"; 34151 case 2707: return "✨"; 34152 case 2708: return "🎈"; 34153 case 2709: return "🎉"; 34154 case 2710: return "🎊"; 34155 case 2711: return "🎋"; 34156 case 2712: return "🎍"; 34157 case 2713: return "🎎"; 34158 case 2714: return "🎏"; 34159 case 2715: return "🎐"; 34160 case 2716: return "🎑"; 34161 case 2717: return "🧧"; 34162 case 2718: return "🎀"; 34163 case 2719: return "🎁"; 34164 case 2720: return "🎗️"; 34165 case 2721: return "🎟️"; 34166 case 2722: return "🎫"; 34167 case 2723: return "🎖️"; 34168 case 2724: return "🏆"; 34169 case 2725: return "🏅"; 34170 case 2726: return "🥇"; 34171 case 2727: return "🥈"; 34172 case 2728: return "🥉"; 34173 case 2729: return "⚽"; 34174 case 2730: return "⚾"; 34175 case 2731: return "🥎"; 34176 case 2732: return "🏀"; 34177 case 2733: return "🏐"; 34178 case 2734: return "🏈"; 34179 case 2735: return "🏉"; 34180 case 2736: return "🎾"; 34181 case 2737: return "🥏"; 34182 case 2738: return "🎳"; 34183 case 2739: return "🏏"; 34184 case 2740: return "🏑"; 34185 case 2741: return "🏒"; 34186 case 2742: return "🥍"; 34187 case 2743: return "🏓"; 34188 case 2744: return "🏸"; 34189 case 2745: return "🥊"; 34190 case 2746: return "🥋"; 34191 case 2747: return "🥅"; 34192 case 2748: return "⛳"; 34193 case 2749: return "⛸️"; 34194 case 2750: return "🎣"; 34195 case 2751: return "🤿"; 34196 case 2752: return "🎽"; 34197 case 2753: return "🎿"; 34198 case 2754: return "🛷"; 34199 case 2755: return "🥌"; 34200 case 2756: return "🎯"; 34201 case 2757: return "🪀"; 34202 case 2758: return "🪁"; 34203 case 2759: return "🎱"; 34204 case 2760: return "🔮"; 34205 case 2761: return "🪄"; 34206 case 2762: return "🧿"; 34207 case 2763: return "🎮"; 34208 case 2764: return "🕹️"; 34209 case 2765: return "🎰"; 34210 case 2766: return "🎲"; 34211 case 2767: return "🧩"; 34212 case 2768: return "🧸"; 34213 case 2769: return "🪅"; 34214 case 2770: return "🪆"; 34215 case 2771: return "♠️"; 34216 case 2772: return "♥️"; 34217 case 2773: return "♦️"; 34218 case 2774: return "♣️"; 34219 case 2775: return "♟️"; 34220 case 2776: return "🃏"; 34221 case 2777: return "🀄"; 34222 case 2778: return "🎴"; 34223 case 2779: return "🎭"; 34224 case 2780: return "🖼️"; 34225 case 2781: return "🎨"; 34226 case 2782: return "🧵"; 34227 case 2783: return "🪡"; 34228 case 2784: return "🧶"; 34229 case 2785: return "🪢"; 34230 case 2786: return "]"; 34231 case 2787: return "object: ["; 34232 case 2788: return "👓"; 34233 case 2789: return "🕶️"; 34234 case 2790: return "🥽"; 34235 case 2791: return "🥼"; 34236 case 2792: return "🦺"; 34237 case 2793: return "👔"; 34238 case 2794: return "👕"; 34239 case 2795: return "👖"; 34240 case 2796: return "🧣"; 34241 case 2797: return "🧤"; 34242 case 2798: return "🧥"; 34243 case 2799: return "🧦"; 34244 case 2800: return "👗"; 34245 case 2801: return "👘"; 34246 case 2802: return "🥻"; 34247 case 2803: return "🩱"; 34248 case 2804: return "🩲"; 34249 case 2805: return "🩳"; 34250 case 2806: return "👙"; 34251 case 2807: return "👚"; 34252 case 2808: return "👛"; 34253 case 2809: return "👜"; 34254 case 2810: return "👝"; 34255 case 2811: return "🛍️"; 34256 case 2812: return "🎒"; 34257 case 2813: return "🩴"; 34258 case 2814: return "👞"; 34259 case 2815: return "👟"; 34260 case 2816: return "🥾"; 34261 case 2817: return "🥿"; 34262 case 2818: return "👠"; 34263 case 2819: return "👡"; 34264 case 2820: return "🩰"; 34265 case 2821: return "👢"; 34266 case 2822: return "👑"; 34267 case 2823: return "👒"; 34268 case 2824: return "🎩"; 34269 case 2825: return "🎓"; 34270 case 2826: return "🧢"; 34271 case 2827: return "🪖"; 34272 case 2828: return "⛑️"; 34273 case 2829: return "📿"; 34274 case 2830: return "💄"; 34275 case 2831: return "💍"; 34276 case 2832: return "💎"; 34277 case 2833: return "🔇"; 34278 case 2834: return "🔈"; 34279 case 2835: return "🔉"; 34280 case 2836: return "🔊"; 34281 case 2837: return "📢"; 34282 case 2838: return "📣"; 34283 case 2839: return "📯"; 34284 case 2840: return "🔔"; 34285 case 2841: return "🔕"; 34286 case 2842: return "🎼"; 34287 case 2843: return "🎵"; 34288 case 2844: return "🎶"; 34289 case 2845: return "🎙️"; 34290 case 2846: return "🎚️"; 34291 case 2847: return "🎛️"; 34292 case 2848: return "🎤"; 34293 case 2849: return "🎧"; 34294 case 2850: return "📻"; 34295 case 2851: return "🎷"; 34296 case 2852: return "🪗"; 34297 case 2853: return "🎸"; 34298 case 2854: return "🎹"; 34299 case 2855: return "🎺"; 34300 case 2856: return "🎻"; 34301 case 2857: return "🪕"; 34302 case 2858: return "🥁"; 34303 case 2859: return "🪘"; 34304 case 2860: return "📱"; 34305 case 2861: return "📲"; 34306 case 2862: return "☎️"; 34307 case 2863: return "📞"; 34308 case 2864: return "📟"; 34309 case 2865: return "📠"; 34310 case 2866: return "🔋"; 34311 case 2867: return "🔌"; 34312 case 2868: return "💻"; 34313 case 2869: return "🖥️"; 34314 case 2870: return "🖨️"; 34315 case 2871: return "⌨️"; 34316 case 2872: return "🖱️"; 34317 case 2873: return "🖲️"; 34318 case 2874: return "💽"; 34319 case 2875: return "💾"; 34320 case 2876: return "💿"; 34321 case 2877: return "📀"; 34322 case 2878: return "🧮"; 34323 case 2879: return "🎥"; 34324 case 2880: return "🎞️"; 34325 case 2881: return "📽️"; 34326 case 2882: return "🎬"; 34327 case 2883: return "📺"; 34328 case 2884: return "📷"; 34329 case 2885: return "📸"; 34330 case 2886: return "📹"; 34331 case 2887: return "📼"; 34332 case 2888: return "🔍"; 34333 case 2889: return "🔎"; 34334 case 2890: return "🕯️"; 34335 case 2891: return "💡"; 34336 case 2892: return "🔦"; 34337 case 2893: return "🏮"; 34338 case 2894: return "🪔"; 34339 case 2895: return "📔"; 34340 case 2896: return "📕"; 34341 case 2897: return "📖"; 34342 case 2898: return "📗"; 34343 case 2899: return "📘"; 34344 case 2900: return "📙"; 34345 case 2901: return "📚"; 34346 case 2902: return "📓"; 34347 case 2903: return "📒"; 34348 case 2904: return "📃"; 34349 case 2905: return "📜"; 34350 case 2906: return "📄"; 34351 case 2907: return "📰"; 34352 case 2908: return "🗞️"; 34353 case 2909: return "📑"; 34354 case 2910: return "🔖"; 34355 case 2911: return "🏷️"; 34356 case 2912: return "💰"; 34357 case 2913: return "🪙"; 34358 case 2914: return "💴"; 34359 case 2915: return "💵"; 34360 case 2916: return "💶"; 34361 case 2917: return "💷"; 34362 case 2918: return "💸"; 34363 case 2919: return "💳"; 34364 case 2920: return "🧾"; 34365 case 2921: return "💹"; 34366 case 2922: return "✉️"; 34367 case 2923: return "📧"; 34368 case 2924: return "📨"; 34369 case 2925: return "📩"; 34370 case 2926: return "📤"; 34371 case 2927: return "📥"; 34372 case 2928: return "📦"; 34373 case 2929: return "📫"; 34374 case 2930: return "📪"; 34375 case 2931: return "📬"; 34376 case 2932: return "📭"; 34377 case 2933: return "📮"; 34378 case 2934: return "🗳️"; 34379 case 2935: return "✏️"; 34380 case 2936: return "✒️"; 34381 case 2937: return "🖋️"; 34382 case 2938: return "🖊️"; 34383 case 2939: return "🖌️"; 34384 case 2940: return "🖍️"; 34385 case 2941: return "📝"; 34386 case 2942: return "💼"; 34387 case 2943: return "📁"; 34388 case 2944: return "📂"; 34389 case 2945: return "🗂️"; 34390 case 2946: return "📅"; 34391 case 2947: return "📆"; 34392 case 2948: return "🗒️"; 34393 case 2949: return "🗓️"; 34394 case 2950: return "📇"; 34395 case 2951: return "📈"; 34396 case 2952: return "📉"; 34397 case 2953: return "📊"; 34398 case 2954: return "📋"; 34399 case 2955: return "📌"; 34400 case 2956: return "📍"; 34401 case 2957: return "📎"; 34402 case 2958: return "🖇️"; 34403 case 2959: return "📏"; 34404 case 2960: return "📐"; 34405 case 2961: return "✂️"; 34406 case 2962: return "🗃️"; 34407 case 2963: return "🗄️"; 34408 case 2964: return "🗑️"; 34409 case 2965: return "🔒"; 34410 case 2966: return "🔓"; 34411 case 2967: return "🔏"; 34412 case 2968: return "🔐"; 34413 case 2969: return "🔑"; 34414 case 2970: return "🗝️"; 34415 case 2971: return "🔨"; 34416 case 2972: return "🪓"; 34417 case 2973: return "⛏️"; 34418 case 2974: return "⚒️"; 34419 case 2975: return "🛠️"; 34420 case 2976: return "🗡️"; 34421 case 2977: return "⚔️"; 34422 case 2978: return "🔫"; 34423 case 2979: return "🪃"; 34424 case 2980: return "🏹"; 34425 case 2981: return "🛡️"; 34426 case 2982: return "🪚"; 34427 case 2983: return "🔧"; 34428 case 2984: return "🪛"; 34429 case 2985: return "🔩"; 34430 case 2986: return "⚙️"; 34431 case 2987: return "🗜️"; 34432 case 2988: return "⚖️"; 34433 case 2989: return "🦯"; 34434 case 2990: return "🔗"; 34435 case 2991: return "⛓️"; 34436 case 2992: return "🪝"; 34437 case 2993: return "🧰"; 34438 case 2994: return "🧲"; 34439 case 2995: return "🪜"; 34440 case 2996: return "⚗️"; 34441 case 2997: return "🧪"; 34442 case 2998: return "🧫"; 34443 case 2999: return "🧬"; 34444 case 3000: return "🔬"; 34445 case 3001: return "🔭"; 34446 case 3002: return "📡"; 34447 case 3003: return "💉"; 34448 case 3004: return "🩸"; 34449 case 3005: return "💊"; 34450 case 3006: return "🩹"; 34451 case 3007: return "🩺"; 34452 case 3008: return "🚪"; 34453 case 3009: return "🛗"; 34454 case 3010: return "🪞"; 34455 case 3011: return "🪟"; 34456 case 3012: return "🛏️"; 34457 case 3013: return "🛋️"; 34458 case 3014: return "🪑"; 34459 case 3015: return "🚽"; 34460 case 3016: return "🪠"; 34461 case 3017: return "🚿"; 34462 case 3018: return "🛁"; 34463 case 3019: return "🪤"; 34464 case 3020: return "🪒"; 34465 case 3021: return "🧴"; 34466 case 3022: return "🧷"; 34467 case 3023: return "🧹"; 34468 case 3024: return "🧺"; 34469 case 3025: return "🧻"; 34470 case 3026: return "🪣"; 34471 case 3027: return "🧼"; 34472 case 3028: return "🪥"; 34473 case 3029: return "🧽"; 34474 case 3030: return "🧯"; 34475 case 3031: return "🛒"; 34476 case 3032: return "🚬"; 34477 case 3033: return "⚰️"; 34478 case 3034: return "🪦"; 34479 case 3035: return "⚱️"; 34480 case 3036: return "🗿"; 34481 case 3037: return "🪧"; 34482 case 3038: return "]"; 34483 case 3039: return "symbol: ["; 34484 case 3040: return "🏧"; 34485 case 3041: return "🚮"; 34486 case 3042: return "🚰"; 34487 case 3043: return "♿"; 34488 case 3044: return "🚹"; 34489 case 3045: return "🚺"; 34490 case 3046: return "🚻"; 34491 case 3047: return "🚼"; 34492 case 3048: return "🚾"; 34493 case 3049: return "🛂"; 34494 case 3050: return "🛃"; 34495 case 3051: return "🛄"; 34496 case 3052: return "🛅"; 34497 case 3053: return "⚠️"; 34498 case 3054: return "🚸"; 34499 case 3055: return "⛔"; 34500 case 3056: return "🚫"; 34501 case 3057: return "🚳"; 34502 case 3058: return "🚭"; 34503 case 3059: return "🚯"; 34504 case 3060: return "🚱"; 34505 case 3061: return "🚷"; 34506 case 3062: return "📵"; 34507 case 3063: return "🔞"; 34508 case 3064: return "☢️"; 34509 case 3065: return "☣️"; 34510 case 3066: return "⬆️"; 34511 case 3067: return "↗️"; 34512 case 3068: return "➡️"; 34513 case 3069: return "↘️"; 34514 case 3070: return "⬇️"; 34515 case 3071: return "↙️"; 34516 case 3072: return "⬅️"; 34517 case 3073: return "↖️"; 34518 case 3074: return "↕️"; 34519 case 3075: return "↔️"; 34520 case 3076: return "↩️"; 34521 case 3077: return "↪️"; 34522 case 3078: return "⤴️"; 34523 case 3079: return "⤵️"; 34524 case 3080: return "🔃"; 34525 case 3081: return "🔄"; 34526 case 3082: return "🔙"; 34527 case 3083: return "🔚"; 34528 case 3084: return "🔛"; 34529 case 3085: return "🔜"; 34530 case 3086: return "🔝"; 34531 case 3087: return "🛐"; 34532 case 3088: return "⚛️"; 34533 case 3089: return "🕉️"; 34534 case 3090: return "✡️"; 34535 case 3091: return "☸️"; 34536 case 3092: return "☯️"; 34537 case 3093: return "✝️"; 34538 case 3094: return "☦️"; 34539 case 3095: return "☪️"; 34540 case 3096: return "☮️"; 34541 case 3097: return "🕎"; 34542 case 3098: return "🔯"; 34543 case 3099: return "♈"; 34544 case 3100: return "♉"; 34545 case 3101: return "♊"; 34546 case 3102: return "♋"; 34547 case 3103: return "♌"; 34548 case 3104: return "♍"; 34549 case 3105: return "♎"; 34550 case 3106: return "♏"; 34551 case 3107: return "♐"; 34552 case 3108: return "♑"; 34553 case 3109: return "♒"; 34554 case 3110: return "♓"; 34555 case 3111: return "⛎"; 34556 case 3112: return "🔀"; 34557 case 3113: return "🔁"; 34558 case 3114: return "🔂"; 34559 case 3115: return "▶️"; 34560 case 3116: return "⏩"; 34561 case 3117: return "⏭️"; 34562 case 3118: return "⏯️"; 34563 case 3119: return "◀️"; 34564 case 3120: return "⏪"; 34565 case 3121: return "⏮️"; 34566 case 3122: return "🔼"; 34567 case 3123: return "⏫"; 34568 case 3124: return "🔽"; 34569 case 3125: return "⏬"; 34570 case 3126: return "⏸️"; 34571 case 3127: return "⏹️"; 34572 case 3128: return "⏺️"; 34573 case 3129: return "⏏️"; 34574 case 3130: return "🎦"; 34575 case 3131: return "🔅"; 34576 case 3132: return "🔆"; 34577 case 3133: return "📶"; 34578 case 3134: return "📳"; 34579 case 3135: return "📴"; 34580 case 3136: return "♀️"; 34581 case 3137: return "♂️"; 34582 case 3138: return "⚧️"; 34583 case 3139: return "✖️"; 34584 case 3140: return "➕"; 34585 case 3141: return "➖"; 34586 case 3142: return "➗"; 34587 case 3143: return "♾️"; 34588 case 3144: return "‼️"; 34589 case 3145: return "⁉️"; 34590 case 3146: return "❓"; 34591 case 3147: return "❔"; 34592 case 3148: return "❕"; 34593 case 3149: return "❗"; 34594 case 3150: return "〰️"; 34595 case 3151: return "💱"; 34596 case 3152: return "💲"; 34597 case 3153: return "⚕️"; 34598 case 3154: return "♻️"; 34599 case 3155: return "⚜️"; 34600 case 3156: return "🔱"; 34601 case 3157: return "📛"; 34602 case 3158: return "🔰"; 34603 case 3159: return "⭕"; 34604 case 3160: return "✅"; 34605 case 3161: return "☑️"; 34606 case 3162: return "✔️"; 34607 case 3163: return "❌"; 34608 case 3164: return "❎"; 34609 case 3165: return "➰"; 34610 case 3166: return "➿"; 34611 case 3167: return "〽️"; 34612 case 3168: return "✳️"; 34613 case 3169: return "✴️"; 34614 case 3170: return "❇️"; 34615 case 3171: return "©️"; 34616 case 3172: return "®️"; 34617 case 3173: return "™️"; 34618 case 3174: return "#️⃣"; 34619 case 3175: return "*️⃣"; 34620 case 3176: return "0️⃣"; 34621 case 3177: return "1️⃣"; 34622 case 3178: return "2️⃣"; 34623 case 3179: return "3️⃣"; 34624 case 3180: return "4️⃣"; 34625 case 3181: return "5️⃣"; 34626 case 3182: return "6️⃣"; 34627 case 3183: return "7️⃣"; 34628 case 3184: return "8️⃣"; 34629 case 3185: return "9️⃣"; 34630 case 3186: return "🔟"; 34631 case 3187: return "🔠"; 34632 case 3188: return "🔡"; 34633 case 3189: return "🔢"; 34634 case 3190: return "🔣"; 34635 case 3191: return "🔤"; 34636 case 3192: return "🅰️"; 34637 case 3193: return "🆎"; 34638 case 3194: return "🅱️"; 34639 case 3195: return "🆑"; 34640 case 3196: return "🆒"; 34641 case 3197: return "🆓"; 34642 case 3198: return "ℹ️"; 34643 case 3199: return "🆔"; 34644 case 3200: return "Ⓜ️"; 34645 case 3201: return "🆕"; 34646 case 3202: return "🆖"; 34647 case 3203: return "🅾️"; 34648 case 3204: return "🆗"; 34649 case 3205: return "🅿️"; 34650 case 3206: return "🆘"; 34651 case 3207: return "🆙"; 34652 case 3208: return "🆚"; 34653 case 3209: return "🈁"; 34654 case 3210: return "🈂️"; 34655 case 3211: return "🈷️"; 34656 case 3212: return "🈶"; 34657 case 3213: return "🈯"; 34658 case 3214: return "🉐"; 34659 case 3215: return "🈹"; 34660 case 3216: return "🈚"; 34661 case 3217: return "🈲"; 34662 case 3218: return "🉑"; 34663 case 3219: return "🈸"; 34664 case 3220: return "🈴"; 34665 case 3221: return "🈳"; 34666 case 3222: return "㊗️"; 34667 case 3223: return "㊙️"; 34668 case 3224: return "🈺"; 34669 case 3225: return "🈵"; 34670 case 3226: return "🔴"; 34671 case 3227: return "🟠"; 34672 case 3228: return "🟡"; 34673 case 3229: return "🟢"; 34674 case 3230: return "🔵"; 34675 case 3231: return "🟣"; 34676 case 3232: return "🟤"; 34677 case 3233: return "⚫"; 34678 case 3234: return "⚪"; 34679 case 3235: return "🟥"; 34680 case 3236: return "🟧"; 34681 case 3237: return "🟨"; 34682 case 3238: return "🟩"; 34683 case 3239: return "🟦"; 34684 case 3240: return "🟪"; 34685 case 3241: return "🟫"; 34686 case 3242: return "⬛"; 34687 case 3243: return "⬜"; 34688 case 3244: return "◼️"; 34689 case 3245: return "◻️"; 34690 case 3246: return "◾"; 34691 case 3247: return "◽"; 34692 case 3248: return "▪️"; 34693 case 3249: return "▫️"; 34694 case 3250: return "🔶"; 34695 case 3251: return "🔷"; 34696 case 3252: return "🔸"; 34697 case 3253: return "🔹"; 34698 case 3254: return "🔺"; 34699 case 3255: return "🔻"; 34700 case 3256: return "💠"; 34701 case 3257: return "🔘"; 34702 case 3258: return "🔳"; 34703 case 3259: return "🔲"; 34704 case 3260: return "]"; 34705 case 3261: return "flag: ["; 34706 case 3262: return "🏁"; 34707 case 3263: return "🚩"; 34708 case 3264: return "🎌"; 34709 case 3265: return "🏴"; 34710 case 3266: return "🏳️"; 34711 case 3267: return "🏳️🌈"; 34712 case 3268: return "🏳️⚧️"; 34713 case 3269: return "🏴☠️"; 34714 case 3270: return "🇦🇨"; 34715 case 3271: return "🇦🇩"; 34716 case 3272: return "🇦🇪"; 34717 case 3273: return "🇦🇫"; 34718 case 3274: return "🇦🇬"; 34719 case 3275: return "🇦🇮"; 34720 case 3276: return "🇦🇱"; 34721 case 3277: return "🇦🇲"; 34722 case 3278: return "🇦🇴"; 34723 case 3279: return "🇦🇶"; 34724 case 3280: return "🇦🇷"; 34725 case 3281: return "🇦🇸"; 34726 case 3282: return "🇦🇹"; 34727 case 3283: return "🇦🇺"; 34728 case 3284: return "🇦🇼"; 34729 case 3285: return "🇦🇽"; 34730 case 3286: return "🇦🇿"; 34731 case 3287: return "🇧🇦"; 34732 case 3288: return "🇧🇧"; 34733 case 3289: return "🇧🇩"; 34734 case 3290: return "🇧🇪"; 34735 case 3291: return "🇧🇫"; 34736 case 3292: return "🇧🇬"; 34737 case 3293: return "🇧🇭"; 34738 case 3294: return "🇧🇮"; 34739 case 3295: return "🇧🇯"; 34740 case 3296: return "🇧🇱"; 34741 case 3297: return "🇧🇲"; 34742 case 3298: return "🇧🇳"; 34743 case 3299: return "🇧🇴"; 34744 case 3300: return "🇧🇶"; 34745 case 3301: return "🇧🇷"; 34746 case 3302: return "🇧🇸"; 34747 case 3303: return "🇧🇹"; 34748 case 3304: return "🇧🇻"; 34749 case 3305: return "🇧🇼"; 34750 case 3306: return "🇧🇾"; 34751 case 3307: return "🇧🇿"; 34752 case 3308: return "🇨🇦"; 34753 case 3309: return "🇨🇨"; 34754 case 3310: return "🇨🇩"; 34755 case 3311: return "🇨🇫"; 34756 case 3312: return "🇨🇬"; 34757 case 3313: return "🇨🇭"; 34758 case 3314: return "🇨🇮"; 34759 case 3315: return "🇨🇰"; 34760 case 3316: return "🇨🇱"; 34761 case 3317: return "🇨🇲"; 34762 case 3318: return "🇨🇳"; 34763 case 3319: return "🇨🇴"; 34764 case 3320: return "🇨🇵"; 34765 case 3321: return "🇨🇷"; 34766 case 3322: return "🇨🇺"; 34767 case 3323: return "🇨🇻"; 34768 case 3324: return "🇨🇼"; 34769 case 3325: return "🇨🇽"; 34770 case 3326: return "🇨🇾"; 34771 case 3327: return "🇨🇿"; 34772 case 3328: return "🇩🇪"; 34773 case 3329: return "🇩🇬"; 34774 case 3330: return "🇩🇯"; 34775 case 3331: return "🇩🇰"; 34776 case 3332: return "🇩🇲"; 34777 case 3333: return "🇩🇴"; 34778 case 3334: return "🇩🇿"; 34779 case 3335: return "🇪🇦"; 34780 case 3336: return "🇪🇨"; 34781 case 3337: return "🇪🇪"; 34782 case 3338: return "🇪🇬"; 34783 case 3339: return "🇪🇭"; 34784 case 3340: return "🇪🇷"; 34785 case 3341: return "🇪🇸"; 34786 case 3342: return "🇪🇹"; 34787 case 3343: return "🇪🇺"; 34788 case 3344: return "🇫🇮"; 34789 case 3345: return "🇫🇯"; 34790 case 3346: return "🇫🇰"; 34791 case 3347: return "🇫🇲"; 34792 case 3348: return "🇫🇴"; 34793 case 3349: return "🇫🇷"; 34794 case 3350: return "🇬🇦"; 34795 case 3351: return "🇬🇧"; 34796 case 3352: return "🇬🇩"; 34797 case 3353: return "🇬🇪"; 34798 case 3354: return "🇬🇫"; 34799 case 3355: return "🇬🇬"; 34800 case 3356: return "🇬🇭"; 34801 case 3357: return "🇬🇮"; 34802 case 3358: return "🇬🇱"; 34803 case 3359: return "🇬🇲"; 34804 case 3360: return "🇬🇳"; 34805 case 3361: return "🇬🇵"; 34806 case 3362: return "🇬🇶"; 34807 case 3363: return "🇬🇷"; 34808 case 3364: return "🇬🇸"; 34809 case 3365: return "🇬🇹"; 34810 case 3366: return "🇬🇺"; 34811 case 3367: return "🇬🇼"; 34812 case 3368: return "🇬🇾"; 34813 case 3369: return "🇭🇰"; 34814 case 3370: return "🇭🇲"; 34815 case 3371: return "🇭🇳"; 34816 case 3372: return "🇭🇷"; 34817 case 3373: return "🇭🇹"; 34818 case 3374: return "🇭🇺"; 34819 case 3375: return "🇮🇨"; 34820 case 3376: return "🇮🇩"; 34821 case 3377: return "🇮🇪"; 34822 case 3378: return "🇮🇱"; 34823 case 3379: return "🇮🇲"; 34824 case 3380: return "🇮🇳"; 34825 case 3381: return "🇮🇴"; 34826 case 3382: return "🇮🇶"; 34827 case 3383: return "🇮🇷"; 34828 case 3384: return "🇮🇸"; 34829 case 3385: return "🇮🇹"; 34830 case 3386: return "🇯🇪"; 34831 case 3387: return "🇯🇲"; 34832 case 3388: return "🇯🇴"; 34833 case 3389: return "🇯🇵"; 34834 case 3390: return "🇰🇪"; 34835 case 3391: return "🇰🇬"; 34836 case 3392: return "🇰🇭"; 34837 case 3393: return "🇰🇮"; 34838 case 3394: return "🇰🇲"; 34839 case 3395: return "🇰🇳"; 34840 case 3396: return "🇰🇵"; 34841 case 3397: return "🇰🇷"; 34842 case 3398: return "🇰🇼"; 34843 case 3399: return "🇰🇾"; 34844 case 3400: return "🇰🇿"; 34845 case 3401: return "🇱🇦"; 34846 case 3402: return "🇱🇧"; 34847 case 3403: return "🇱🇨"; 34848 case 3404: return "🇱🇮"; 34849 case 3405: return "🇱🇰"; 34850 case 3406: return "🇱🇷"; 34851 case 3407: return "🇱🇸"; 34852 case 3408: return "🇱🇹"; 34853 case 3409: return "🇱🇺"; 34854 case 3410: return "🇱🇻"; 34855 case 3411: return "🇱🇾"; 34856 case 3412: return "🇲🇦"; 34857 case 3413: return "🇲🇨"; 34858 case 3414: return "🇲🇩"; 34859 case 3415: return "🇲🇪"; 34860 case 3416: return "🇲🇫"; 34861 case 3417: return "🇲🇬"; 34862 case 3418: return "🇲🇭"; 34863 case 3419: return "🇲🇰"; 34864 case 3420: return "🇲🇱"; 34865 case 3421: return "🇲🇲"; 34866 case 3422: return "🇲🇳"; 34867 case 3423: return "🇲🇴"; 34868 case 3424: return "🇲🇵"; 34869 case 3425: return "🇲🇶"; 34870 case 3426: return "🇲🇷"; 34871 case 3427: return "🇲🇸"; 34872 case 3428: return "🇲🇹"; 34873 case 3429: return "🇲🇺"; 34874 case 3430: return "🇲🇻"; 34875 case 3431: return "🇲🇼"; 34876 case 3432: return "🇲🇽"; 34877 case 3433: return "🇲🇾"; 34878 case 3434: return "🇲🇿"; 34879 case 3435: return "🇳🇦"; 34880 case 3436: return "🇳🇨"; 34881 case 3437: return "🇳🇪"; 34882 case 3438: return "🇳🇫"; 34883 case 3439: return "🇳🇬"; 34884 case 3440: return "🇳🇮"; 34885 case 3441: return "🇳🇱"; 34886 case 3442: return "🇳🇴"; 34887 case 3443: return "🇳🇵"; 34888 case 3444: return "🇳🇷"; 34889 case 3445: return "🇳🇺"; 34890 case 3446: return "🇳🇿"; 34891 case 3447: return "🇴🇲"; 34892 case 3448: return "🇵🇦"; 34893 case 3449: return "🇵🇪"; 34894 case 3450: return "🇵🇫"; 34895 case 3451: return "🇵🇬"; 34896 case 3452: return "🇵🇭"; 34897 case 3453: return "🇵🇰"; 34898 case 3454: return "🇵🇱"; 34899 case 3455: return "🇵🇲"; 34900 case 3456: return "🇵🇳"; 34901 case 3457: return "🇵🇷"; 34902 case 3458: return "🇵🇸"; 34903 case 3459: return "🇵🇹"; 34904 case 3460: return "🇵🇼"; 34905 case 3461: return "🇵🇾"; 34906 case 3462: return "🇶🇦"; 34907 case 3463: return "🇷🇪"; 34908 case 3464: return "🇷🇴"; 34909 case 3465: return "🇷🇸"; 34910 case 3466: return "🇷🇺"; 34911 case 3467: return "🇷🇼"; 34912 case 3468: return "🇸🇦"; 34913 case 3469: return "🇸🇧"; 34914 case 3470: return "🇸🇨"; 34915 case 3471: return "🇸🇩"; 34916 case 3472: return "🇸🇪"; 34917 case 3473: return "🇸🇬"; 34918 case 3474: return "🇸🇭"; 34919 case 3475: return "🇸🇮"; 34920 case 3476: return "🇸🇯"; 34921 case 3477: return "🇸🇰"; 34922 case 3478: return "🇸🇱"; 34923 case 3479: return "🇸🇲"; 34924 case 3480: return "🇸🇳"; 34925 case 3481: return "🇸🇴"; 34926 case 3482: return "🇸🇷"; 34927 case 3483: return "🇸🇸"; 34928 case 3484: return "🇸🇹"; 34929 case 3485: return "🇸🇻"; 34930 case 3486: return "🇸🇽"; 34931 case 3487: return "🇸🇾"; 34932 case 3488: return "🇸🇿"; 34933 case 3489: return "🇹🇦"; 34934 case 3490: return "🇹🇨"; 34935 case 3491: return "🇹🇩"; 34936 case 3492: return "🇹🇫"; 34937 case 3493: return "🇹🇬"; 34938 case 3494: return "🇹🇭"; 34939 case 3495: return "🇹🇯"; 34940 case 3496: return "🇹🇰"; 34941 case 3497: return "🇹🇱"; 34942 case 3498: return "🇹🇲"; 34943 case 3499: return "🇹🇳"; 34944 case 3500: return "🇹🇴"; 34945 case 3501: return "🇹🇷"; 34946 case 3502: return "🇹🇹"; 34947 case 3503: return "🇹🇻"; 34948 case 3504: return "🇹🇼"; 34949 case 3505: return "🇹🇿"; 34950 case 3506: return "🇺🇦"; 34951 case 3507: return "🇺🇬"; 34952 case 3508: return "🇺🇲"; 34953 case 3509: return "🇺🇳"; 34954 case 3510: return "🇺🇸"; 34955 case 3511: return "🇺🇾"; 34956 case 3512: return "🇺🇿"; 34957 case 3513: return "🇻🇦"; 34958 case 3514: return "🇻🇨"; 34959 case 3515: return "🇻🇪"; 34960 case 3516: return "🇻🇬"; 34961 case 3517: return "🇻🇮"; 34962 case 3518: return "🇻🇳"; 34963 case 3519: return "🇻🇺"; 34964 case 3520: return "🇼🇫"; 34965 case 3521: return "🇼🇸"; 34966 case 3522: return "🇽🇰"; 34967 case 3523: return "🇾🇪"; 34968 case 3524: return "🇾🇹"; 34969 case 3525: return "🇿🇦"; 34970 case 3526: return "🇿🇲"; 34971 case 3527: return "🇿🇼"; 34972 case 3528: return "]"; 34973 } 34974 } 34975 34976 /// 34977 string internetDomainSuffix() { 34978 auto data = [ 34979 "com", 34980 "biz", 34981 "info", 34982 "name", 34983 "net", 34984 "org'" 34985 ]; 34986 return choice(data, this.rnd); 34987 } 34988 34989 /// 34990 string internetExampleEmail() { 34991 auto data = [ 34992 "example.org", 34993 "example.com", 34994 "example.net'" 34995 ]; 34996 return choice(data, this.rnd); 34997 } 34998 34999 35000 string internetHttpStatusCode() { 35001 final switch(uniform(0, 65, this.rnd)) { 35002 case 0: return "informational: [100"; 35003 case 1: return "101"; 35004 case 2: return "102"; 35005 case 3: return "103]"; 35006 case 4: return "success: [200"; 35007 case 5: return "201"; 35008 case 6: return "202"; 35009 case 7: return "203"; 35010 case 8: return "204"; 35011 case 9: return "205"; 35012 case 10: return "206"; 35013 case 11: return "207"; 35014 case 12: return "208"; 35015 case 13: return "226]"; 35016 case 14: return "redirection: [300"; 35017 case 15: return "301"; 35018 case 16: return "302"; 35019 case 17: return "303"; 35020 case 18: return "304"; 35021 case 19: return "305"; 35022 case 20: return "306"; 35023 case 21: return "307"; 35024 case 22: return "308]"; 35025 case 23: return "clientError: ["; 35026 case 24: return "400"; 35027 case 25: return "401"; 35028 case 26: return "402"; 35029 case 27: return "403"; 35030 case 28: return "404"; 35031 case 29: return "405"; 35032 case 30: return "406"; 35033 case 31: return "407"; 35034 case 32: return "408"; 35035 case 33: return "409"; 35036 case 34: return "410"; 35037 case 35: return "411"; 35038 case 36: return "412"; 35039 case 37: return "413"; 35040 case 38: return "414"; 35041 case 39: return "415"; 35042 case 40: return "416"; 35043 case 41: return "417"; 35044 case 42: return "418"; 35045 case 43: return "421"; 35046 case 44: return "422"; 35047 case 45: return "423"; 35048 case 46: return "424"; 35049 case 47: return "425"; 35050 case 48: return "426"; 35051 case 49: return "428"; 35052 case 50: return "429"; 35053 case 51: return "431"; 35054 case 52: return "451"; 35055 case 53: return "]"; 35056 case 54: return "serverError: [500"; 35057 case 55: return "501"; 35058 case 56: return "502"; 35059 case 57: return "503"; 35060 case 58: return "504"; 35061 case 59: return "505"; 35062 case 60: return "506"; 35063 case 61: return "507"; 35064 case 62: return "508"; 35065 case 63: return "510"; 35066 case 64: return "511]"; 35067 } 35068 } 35069 35070 /// 35071 string internetAvatarUri() { 35072 auto data = [ 35073 "0therplanet_128.jpg", 35074 "1markiz_128.jpg", 35075 "2fockus_128.jpg", 35076 "8d3k_128.jpg", 35077 "91bilal_128.jpg", 35078 "9lessons_128.jpg", 35079 "AM_Kn2_128.jpg", 35080 "AlbertoCococi_128.jpg", 35081 "BenouarradeM_128.jpg", 35082 "BillSKenney_128.jpg", 35083 "BrianPurkiss_128.jpg", 35084 "BroumiYoussef_128.jpg", 35085 "BryanHorsey_128.jpg", 35086 "Chakintosh_128.jpg", 35087 "ChrisFarina78_128.jpg", 35088 "Elt_n_128.jpg", 35089 "GavicoInd_128.jpg", 35090 "HenryHoffman_128.jpg", 35091 "IsaryAmairani_128.jpg", 35092 "Karimmove_128.jpg", 35093 "LucasPerdidao_128.jpg", 35094 "ManikRathee_128.jpg", 35095 "RussellBishop_128.jpg", 35096 "S0ufi4n3_128.jpg", 35097 "SULiik_128.jpg", 35098 "Shriiiiimp_128.jpg", 35099 "Silveredge9_128.jpg", 35100 "Skyhartman_128.jpg", 35101 "SlaapMe_128.jpg", 35102 "Stievius_128.jpg", 35103 "Talbi_ConSept_128.jpg", 35104 "VMilescu_128.jpg", 35105 "VinThomas_128.jpg", 35106 "YoungCutlass_128.jpg", 35107 "ZacharyZorbas_128.jpg", 35108 "_dwite__128.jpg", 35109 "_kkga_128.jpg", 35110 "_pedropinho_128.jpg", 35111 "_ragzor_128.jpg", 35112 "_scottburgess_128.jpg", 35113 "_shahedk_128.jpg", 35114 "_victa_128.jpg", 35115 "_vojto_128.jpg", 35116 "_williamguerra_128.jpg", 35117 "_yardenoon_128.jpg", 35118 "a1chapone_128.jpg", 35119 "a_brixen_128.jpg", 35120 "a_harris88_128.jpg", 35121 "aaronalfred_128.jpg", 35122 "aaroni_128.jpg", 35123 "aaronkwhite_128.jpg", 35124 "abdots_128.jpg", 35125 "abdulhyeuk_128.jpg", 35126 "abdullindenis_128.jpg", 35127 "abelcabans_128.jpg", 35128 "abotap_128.jpg", 35129 "abovefunction_128.jpg", 35130 "adamawesomeface_128.jpg", 35131 "adammarsbar_128.jpg", 35132 "adamnac_128.jpg", 35133 "adamsxu_128.jpg", 35134 "adellecharles_128.jpg", 35135 "ademilter_128.jpg", 35136 "adhamdannaway_128.jpg", 35137 "adhiardana_128.jpg", 35138 "adityasutomo_128.jpg", 35139 "adobi_128.jpg", 35140 "adrienths_128.jpg", 35141 "aeon56_128.jpg", 35142 "afusinatto_128.jpg", 35143 "agromov_128.jpg", 35144 "agustincruiz_128.jpg", 35145 "ah_lice_128.jpg", 35146 "ahmadajmi_128.jpg", 35147 "ahmetalpbalkan_128.jpg", 35148 "ahmetsulek_128.jpg", 35149 "aiiaiiaii_128.jpg", 35150 "ainsleywagon_128.jpg", 35151 "aio____128.jpg", 35152 "airskylar_128.jpg", 35153 "aislinnkelly_128.jpg", 35154 "ajaxy_ru_128.jpg", 35155 "aka_james_128.jpg", 35156 "akashsharma39_128.jpg", 35157 "akmalfikri_128.jpg", 35158 "akmur_128.jpg", 35159 "al_li_128.jpg", 35160 "alagoon_128.jpg", 35161 "alan_zhang__128.jpg", 35162 "albertaugustin_128.jpg", 35163 "alecarpentier_128.jpg", 35164 "aleclarsoniv_128.jpg", 35165 "aleinadsays_128.jpg", 35166 "alek_djuric_128.jpg", 35167 "aleksitappura_128.jpg", 35168 "alessandroribe_128.jpg", 35169 "alevizio_128.jpg", 35170 "alexandermayes_128.jpg", 35171 "alexivanichkin_128.jpg", 35172 "algunsanabria_128.jpg", 35173 "allagringaus_128.jpg", 35174 "allfordesign_128.jpg", 35175 "allthingssmitty_128.jpg", 35176 "alsobrooks_128.jpg", 35177 "alterchuca_128.jpg", 35178 "aluisio_azevedo_128.jpg", 35179 "alxleroydeval_128.jpg", 35180 "alxndrustinov_128.jpg", 35181 "amandabuzard_128.jpg", 35182 "amanruzaini_128.jpg", 35183 "amayvs_128.jpg", 35184 "amywebbb_128.jpg", 35185 "anaami_128.jpg", 35186 "anasnakawa_128.jpg", 35187 "anatolinicolae_128.jpg", 35188 "andrea211087_128.jpg", 35189 "andreas_pr_128.jpg", 35190 "andresdjasso_128.jpg", 35191 "andresenfredrik_128.jpg", 35192 "andrewabogado_128.jpg", 35193 "andrewarrow_128.jpg", 35194 "andrewcohen_128.jpg", 35195 "andrewofficer_128.jpg", 35196 "andyisonline_128.jpg", 35197 "andysolomon_128.jpg", 35198 "andytlaw_128.jpg", 35199 "angelceballos_128.jpg", 35200 "angelcolberg_128.jpg", 35201 "angelcreative_128.jpg", 35202 "anjhero_128.jpg", 35203 "ankitind_128.jpg", 35204 "anoff_128.jpg", 35205 "anthonysukow_128.jpg", 35206 "antjanus_128.jpg", 35207 "antongenkin_128.jpg", 35208 "antonyryndya_128.jpg", 35209 "antonyzotov_128.jpg", 35210 "aoimedia_128.jpg", 35211 "apriendeau_128.jpg", 35212 "arashmanteghi_128.jpg", 35213 "areandacom_128.jpg", 35214 "areus_128.jpg", 35215 "ariffsetiawan_128.jpg", 35216 "ariil_128.jpg", 35217 "arindam__128.jpg", 35218 "arishi__128.jpg", 35219 "arkokoley_128.jpg", 35220 "aroon_sharma_128.jpg", 35221 "arpitnj_128.jpg", 35222 "artd_sign_128.jpg", 35223 "artem_kostenko_128.jpg", 35224 "arthurholcombe1_128.jpg", 35225 "artvavs_128.jpg", 35226 "ashernatali_128.jpg", 35227 "ashocka18_128.jpg", 35228 "atanism_128.jpg", 35229 "atariboy_128.jpg", 35230 "ateneupopular_128.jpg", 35231 "attacks_128.jpg", 35232 "aviddayentonbay_128.jpg", 35233 "axel_128.jpg", 35234 "badlittleduck_128.jpg", 35235 "bagawarman_128.jpg", 35236 "baires_128.jpg", 35237 "balakayuriy_128.jpg", 35238 "balintorosz_128.jpg", 35239 "baliomega_128.jpg", 35240 "baluli_128.jpg", 35241 "bargaorobalo_128.jpg", 35242 "barputro_128.jpg", 35243 "bartjo_128.jpg", 35244 "bartoszdawydzik_128.jpg", 35245 "bassamology_128.jpg", 35246 "batsirai_128.jpg", 35247 "baumann_alex_128.jpg", 35248 "baumannzone_128.jpg", 35249 "bboy1895_128.jpg", 35250 "bcrad_128.jpg", 35251 "begreative_128.jpg", 35252 "belyaev_rs_128.jpg", 35253 "benefritz_128.jpg", 35254 "benjamin_knight_128.jpg", 35255 "bennyjien_128.jpg", 35256 "benoitboucart_128.jpg", 35257 "bereto_128.jpg", 35258 "bergmartin_128.jpg", 35259 "bermonpainter_128.jpg", 35260 "bertboerland_128.jpg", 35261 "besbujupi_128.jpg", 35262 "beshur_128.jpg", 35263 "betraydan_128.jpg", 35264 "beweinreich_128.jpg", 35265 "bfrohs_128.jpg", 35266 "bighanddesign_128.jpg", 35267 "bigmancho_128.jpg", 35268 "billyroshan_128.jpg", 35269 "bistrianiosip_128.jpg", 35270 "blakehawksworth_128.jpg", 35271 "blakesimkins_128.jpg", 35272 "bluefx__128.jpg", 35273 "bluesix_128.jpg", 35274 "bobbytwoshoes_128.jpg", 35275 "bobwassermann_128.jpg", 35276 "bolzanmarco_128.jpg", 35277 "borantula_128.jpg", 35278 "borges_marcos_128.jpg", 35279 "bowbrick_128.jpg", 35280 "boxmodel_128.jpg", 35281 "bpartridge_128.jpg", 35282 "bradenhamm_128.jpg", 35283 "brajeshwar_128.jpg", 35284 "brandclay_128.jpg", 35285 "brandonburke_128.jpg", 35286 "brandonflatsoda_128.jpg", 35287 "brandonmorreale_128.jpg", 35288 "brenmurrell_128.jpg", 35289 "brenton_clarke_128.jpg", 35290 "bruno_mart_128.jpg", 35291 "brunodesign1206_128.jpg", 35292 "bryan_topham_128.jpg", 35293 "bu7921_128.jpg", 35294 "bublienko_128.jpg", 35295 "buddhasource_128.jpg", 35296 "buleswapnil_128.jpg", 35297 "bungiwan_128.jpg", 35298 "buryaknick_128.jpg", 35299 "buzzusborne_128.jpg", 35300 "byrnecore_128.jpg", 35301 "byryan_128.jpg", 35302 "cadikkara_128.jpg", 35303 "calebjoyce_128.jpg", 35304 "calebogden_128.jpg", 35305 "canapud_128.jpg", 35306 "carbontwelve_128.jpg", 35307 "carlfairclough_128.jpg", 35308 "carlosblanco_eu_128.jpg", 35309 "carlosgavina_128.jpg", 35310 "carlosjgsousa_128.jpg", 35311 "carlosm_128.jpg", 35312 "carlyson_128.jpg", 35313 "caseycavanagh_128.jpg", 35314 "caspergrl_128.jpg", 35315 "catadeleon_128.jpg", 35316 "catarino_128.jpg", 35317 "cboller1_128.jpg", 35318 "cbracco_128.jpg", 35319 "ccinojasso1_128.jpg", 35320 "cdavis565_128.jpg", 35321 "cdharrison_128.jpg", 35322 "ceekaytweet_128.jpg", 35323 "cemshid_128.jpg", 35324 "cggaurav_128.jpg", 35325 "chaabane_wail_128.jpg", 35326 "chacky14_128.jpg", 35327 "chadami_128.jpg", 35328 "chadengle_128.jpg", 35329 "chaensel_128.jpg", 35330 "chandlervdw_128.jpg", 35331 "chanpory_128.jpg", 35332 "charlesrpratt_128.jpg", 35333 "charliecwaite_128.jpg", 35334 "charliegann_128.jpg", 35335 "chatyrko_128.jpg", 35336 "cherif_b_128.jpg", 35337 "chris_frees_128.jpg", 35338 "chris_witko_128.jpg", 35339 "chrismj83_128.jpg", 35340 "chrisslowik_128.jpg", 35341 "chrisstumph_128.jpg", 35342 "christianoliff_128.jpg", 35343 "chrisvanderkooi_128.jpg", 35344 "ciaranr_128.jpg", 35345 "cicerobr_128.jpg", 35346 "claudioguglieri_128.jpg", 35347 "cloudstudio_128.jpg", 35348 "clubb3rry_128.jpg", 35349 "cocolero_128.jpg", 35350 "codepoet_ru_128.jpg", 35351 "coderdiaz_128.jpg", 35352 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"vytautas_a_128.jpg", 36286 "waghner_128.jpg", 36287 "wake_gs_128.jpg", 36288 "we_social_128.jpg", 36289 "wearesavas_128.jpg", 36290 "weavermedia_128.jpg", 36291 "webtanya_128.jpg", 36292 "weglov_128.jpg", 36293 "wegotvices_128.jpg", 36294 "wesleytrankin_128.jpg", 36295 "wikiziner_128.jpg", 36296 "wiljanslofstra_128.jpg", 36297 "wim1k_128.jpg", 36298 "wintopia_128.jpg", 36299 "woodsman001_128.jpg", 36300 "woodydotmx_128.jpg", 36301 "wtrsld_128.jpg", 36302 "xadhix_128.jpg", 36303 "xalionmalik_128.jpg", 36304 "xamorep_128.jpg", 36305 "xiel_128.jpg", 36306 "xilantra_128.jpg", 36307 "xravil_128.jpg", 36308 "xripunov_128.jpg", 36309 "xtopherpaul_128.jpg", 36310 "y2graphic_128.jpg", 36311 "yalozhkin_128.jpg", 36312 "yassiryahya_128.jpg", 36313 "yayteejay_128.jpg", 36314 "yecidsm_128.jpg", 36315 "yehudab_128.jpg", 36316 "yesmeck_128.jpg", 36317 "yigitpinarbasi_128.jpg", 36318 "zackeeler_128.jpg", 36319 "zaki3d_128.jpg", 36320 "zauerkraut_128.jpg", 36321 "zforrester_128.jpg", 36322 "zvchkelly_128.jpg" 36323 ]; 36324 return choice(data, this.rnd); 36325 } 36326 36327 36328 /// 36329 string financeBIC() { 36330 enum string[] vowels = ["A", "E", "I", "O", "U"]; 36331 int prob = uniform(0, 100, this.rnd); 36332 return this.replaceSymbols("???") ~ 36333 choice(vowels, this.rnd) ~ 36334 choice(ibanData.iso3166, this.rnd) ~ 36335 this.replaceSymbols("?") ~ "1" ~ 36336 (prob < 10 ? 36337 this.replaceSymbols("?" ~ choice(vowels, this.rnd) ~ "?") : 36338 prob < 40 ? 36339 this.replaceSymbols("###") : ""); 36340 } 36341 36342 /// 36343 long mod97(string digitStr) { 36344 long m = 0; 36345 for(long i = 0; i < digitStr.length; i++) { 36346 m = ((m * 10) + (digitStr[i] | 0)) % 97; 36347 } 36348 return m; 36349 } 36350 36351 /// 36352 string toDigitString(string str) { 36353 import std.uni; 36354 auto app = appender!string(); 36355 foreach(dchar c; str) { 36356 switch(c) { 36357 case 'a': .. case 'z': 36358 formattedWrite(app, "%s", Grapheme(toUpper(c))[0] - 55); 36359 break; 36360 case 'A': .. case 'Z': 36361 formattedWrite(app, "%s", Grapheme(c)[0] - 55); 36362 break; 36363 default: 36364 app.put(c); 36365 break; 36366 } 36367 } 36368 return app.data; 36369 //return str.replace(/[A-Z]/gi, function(match) { 36370 // return match.toUpperCase().charCodeAt(0) - 55; 36371 //}); 36372 } 36373 36374 /// TODO IBAN generation looks broken 36375 string financeIBAN(bool fourSpace = false) { 36376 auto ibanFormat = choice(ibanData.formats, this.rnd); 36377 auto app = appender!string(); 36378 string s; 36379 int count = 0; 36380 for(int b = 0; b < ibanFormat.bban.length; ++b) { 36381 auto bban = ibanFormat.bban[b]; 36382 long c = bban.count; 36383 count += bban.count; 36384 while(c > 0) { 36385 if(bban.type == "a") { 36386 //s += faker.random.arrayElement(ibanLib.alpha); 36387 app.put(choice(ibanData.alpha, this.rnd)); 36388 } else if (bban.type == "c") { 36389 if (uniform(0, 100, this.rnd) < 80) { 36390 formattedWrite(app, "%d", uniform(0, 10, this.rnd)); 36391 //s += faker.random.number(9); 36392 } else { 36393 app.put(choice(ibanData.alpha, this.rnd)); 36394 //s += faker.random.arrayElement(ibanLib.alpha); 36395 } 36396 } else { 36397 if (c >= 3 && uniform(0, 101, this.rnd) < 30) { 36398 //if (c >= 3 && faker.random.number(100) < 30) { 36399 if (uniform(0, 2, this.rnd) == 1) { 36400 //s += faker.random.arrayElement(ibanLib.pattern100); 36401 app.put(choice(ibanData.pattern100, this.rnd)); 36402 c -= 2; 36403 } else { 36404 //s += faker.random.arrayElement(ibanLib.pattern10); 36405 app.put(choice(ibanData.pattern10, this.rnd)); 36406 c--; 36407 } 36408 } else { 36409 //s += faker.random.number(9); 36410 formattedWrite(app, "%d", uniform(0, 10, this.rnd)); 36411 } 36412 } 36413 c--; 36414 } 36415 s = app.data[0 .. count]; 36416 } 36417 auto checksum = 98 - mod97(toDigitString(s ~ ibanFormat.country ~ "00")); 36418 string checksumStr; 36419 if (checksum < 10) { 36420 checksumStr = "0" ~ to!string(checksum); 36421 } 36422 auto iban = ibanFormat.country ~ checksumStr ~ s; 36423 return fourSpace 36424 ? format("%,4?s", ' ', iban) 36425 : iban; 36426 } 36427 }