zwordle.abap

"
" ABAP transpiler version of Wordle Assistant
"
" Contribution by Marc Bernard
"
" Based on https://github.com/hdegroot/zwordle
" MIT License - Copyright (c) 2022 Hugo de Groot
"
" 1. Open https://transpiler.abaplint.org/
" 2. Cut & paste this code (zwordle.abap) into left window
" 3. Adjust call at end of code
" 4. Runs automatically and shows results in right window
"
class lcl_wordle definition.

  public section.

    types:
      char1        type c length 1,
      char5        type c length 5,
      char6        type c length 6,
      char26       type c length 26,
      string_table type table of string.

    types:
      begin of submatch_result,
        offset type i,
        length type i,
      end of submatch_result,
      submatch_tab type table of submatch_result,
      begin of match_result,
        line   type i,
        offset type i,
        length type i,
        submatches type submatch_tab,
      end of match_result,
      match_result_tab type table of match_result.

    class-data:
      letter1        type char26,
      letter2        type char26,
      letter3        type char26,
      letter4        type char26,
      letter5        type char26,
      black_letters  type char26,
      orange_letters type char26.

    class-methods:
      remove_black_letters.

    methods:
      main
        importing
          i_letter_1       type string
          i_letter_2       type string
          i_letter_3       type string
          i_letter_4       type string
          i_letter_5       type string
          i_black_letters  type string
          i_orange_letters type string.

  private section.

    constants:
      c_abc type c length 26 value 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'.

    types:

      ty_word_score type f, "p length 6 decimals 1,

      begin of ty_matched_word,
        word                        type char5,
        vowel_count                 type i,
        consonant_count             type i,
        contains_all_orange_letters type abap_bool,
        word_score                  type ty_word_score,
      end of ty_matched_word,

      ty_matched_word_tab type standard table of ty_matched_word with default key,

      ty_relative_frequency type f, "p length 6 decimals 4,

      begin of ty_letter_frequency,
        first_letter  type ty_relative_frequency,
        other_letters type ty_relative_frequency,
      end of ty_letter_frequency,

      ty_letter_frequency_tab type standard table of ty_letter_frequency with default key.

    data:
      word_tab             type string_table,
      letter_frequency_tab type ty_letter_frequency_tab,
      regex_string         type string,
      matched_word_tab     type ty_matched_word_tab.

    methods:
      clean_input importing i_input type string returning value(r_input) type char26,
      build_word_tab_v2,  "List of 5-letter words. Source: Collins Scrabble Words Dec 2021
      build_letter_frequency_tab, "Letter Frequency for English Dictionary Words
      build_regex_string,
      get_matched_words,
      display_output,

      get_vowel_count             importing i_word type char5 returning value(r_count) type i,
      contains_all_orange_letters importing i_word type char5 returning value(r_contains_all_orange_letters) type abap_bool,
      get_word_score              importing i_word type char5 returning value(r_word_score) type ty_word_score,
      get_letter_frequency        importing i_letter type char1 i_first type abap_bool returning value(r_frequency) type ty_relative_frequency.


endclass.


class lcl_wordle implementation.


  method main.

    data inp type string.

    write / 'WORDLE ASSISTANT'.

    " Check input
    inp = i_letter_1 && i_letter_2 && i_letter_3 && i_letter_4 && i_letter_5 && i_black_letters && i_orange_letters.

    if inp is initial.
      write: /,
        / 'You have to fill in at least on of the input fields'.
      return.
    endif.

    " Clean-up input
    if i_letter_1 is initial.
      letter1 = c_abc.
    else.
      letter1 = clean_input( i_letter_1 ).
    endif.
    if i_letter_2 is initial.
      letter2 = c_abc.
    else.
      letter2 = clean_input( i_letter_2 ).
    endif.
    if i_letter_3 is initial.
      letter3 = c_abc.
    else.
      letter3 = clean_input( i_letter_3 ).
    endif.
    if i_letter_4 is initial.
      letter4 = c_abc.
    else.
      letter4 = clean_input( i_letter_4 ).
    endif.
    if i_letter_5 is initial.
      letter5 = c_abc.
    else.
      letter5 = clean_input( i_letter_5 ).
    endif.

    black_letters = clean_input( i_black_letters ).

    orange_letters = clean_input( i_orange_letters ).

    " Check input again
    inp = letter1 && letter2 && letter3 && letter4 && letter5 && black_letters && orange_letters.

    if inp is initial.
      write: /,
        / 'You have to fill in at least on of the input fields'.
      return.
    endif.

    remove_black_letters( ).

    build_word_tab_v2( ).

    build_letter_frequency_tab( ).

    build_regex_string( ).

    get_matched_words( ).

    display_output( ).

  endmethod.


  method clean_input.
    data temp type string.
    temp = to_upper( i_input ).
    do strlen( temp ) times.
      if temp(1) CA c_abc.
        r_input = r_input && temp(1).
      endif.
      shift temp left.
    enddo.
  endmethod.


  method remove_black_letters.

    data black_letters_regex type string.

    if black_letters is not initial.

      if strlen( black_letters ) = 1.
        black_letters_regex = black_letters+0(1).
      else.
        black_letters_regex = |[{ black_letters }]|.
      endif.

      replace all occurrences of regex black_letters_regex in letter1 with ''.
      replace all occurrences of regex black_letters_regex in letter2 with ''.
      replace all occurrences of regex black_letters_regex in letter3 with ''.
      replace all occurrences of regex black_letters_regex in letter4 with ''.
      replace all occurrences of regex black_letters_regex in letter5 with ''.

    endif.

  endmethod.


  method build_regex_string.

    data:
      vletter1 type string,
      vletter2 type string,
      vletter3 type string,
      vletter4 type string,
      vletter5 type string.

    if letter1 is initial.
      vletter1 = '.'.
    elseif strlen( letter1 ) = 1.
      vletter1 = letter1.
    else.
      vletter1 = |[{ letter1 }]|.
    endif.

    if letter2 is initial.
      vletter2 = '.'.
    elseif strlen( letter2 ) = 1.
      vletter2 = letter2.
    else.
      vletter2 = |[{ letter2 }]|.
    endif.

    if letter3 is initial.
      vletter3 = '.'.
    elseif strlen( letter3 ) = 1.
      vletter3 = letter3.
    else.
      vletter3 = |[{ letter3 }]|.
    endif.

    if letter4 is initial.
      vletter4 = '.'.
    elseif strlen( letter4 ) = 1.
      vletter4 = letter4.
    else.
      vletter4 = |[{ letter4 }]|.
    endif.

    if letter5 is initial.
      vletter5 = '.'.
    elseif strlen( letter5 ) = 1.
      vletter5 = letter5.
    else.
      vletter5 = |[{ letter5 }]|.
    endif.

    regex_string = |^{ vletter1 }{ vletter2 }{ vletter3 }{ vletter4 }{ vletter5 }$|.

  endmethod.


  method get_matched_words.

    data:
      matched_word type ty_matched_word,
      word_word    like line of word_tab.

    loop at word_tab into word_word.

      find regex regex_string in word_word.
      if sy-subrc = 0.

        matched_word-word = word_word.

        matched_word-vowel_count = get_vowel_count( matched_word-word ).

        matched_word-consonant_count = 5 - matched_word-vowel_count.

        matched_word-contains_all_orange_letters = contains_all_orange_letters( matched_word-word ).

        matched_word-word_score = get_word_score( matched_word-word ).

        append matched_word to matched_word_tab.

      endif.

    endloop.

  endmethod.


  method display_output.

    data matched_word like line of matched_word_tab.
    data score type i.

    sort matched_word_tab by contains_all_orange_letters descending
                             word_score descending.

    write: /,
      / 'Black Letters:  ', black_letters,
      / 'Orange Letters: ', orange_letters,
      / 'Letter 1:       ', letter1,
      / 'Letter 2:       ', letter2,
      / 'Letter 3:       ', letter3,
      / 'Letter 4:       ', letter4,
      / 'Letter 5:       ', letter5,
      /.

    write: /
      'Word   ',
      ' ',
      'Vowels',
      ' ',
      'Consonants',
      ' ',
      'All Orange?',
      ' ',
      'Word Score',
      / '------------------------------------------------'.

    loop at matched_word_tab into matched_word.
      score = matched_word-word_score * 100.
      write: /
        matched_word-word,
        '   ',
        matched_word-vowel_count,
        '      ',
        matched_word-consonant_count,
        '          ',
        matched_word-contains_all_orange_letters,
        '           ',
        score.
    endloop.

  endmethod.


  method get_vowel_count.

    data vowels_regex type string value '[AEIOUY]'.

    find all occurrences of regex vowels_regex in i_word
    match count r_count.

  endmethod.


  method contains_all_orange_letters.

    data:
      word             type char6,
      orange1          type c,
      orange2          type c,
      orange3          type c,
      orange4          type c,
      orange5          type c,
      contains_orange1 type abap_bool,
      contains_orange2 type abap_bool,
      contains_orange3 type abap_bool,
      contains_orange4 type abap_bool,
      contains_orange5 type abap_bool.

    r_contains_all_orange_letters = '-'. "abap_false.

    if orange_letters is initial.

      r_contains_all_orange_letters = abap_true.

    else.

      word = i_word.

      orange1 = orange_letters+0(1).
      orange2 = orange_letters+1(1).
      orange3 = orange_letters+2(1).
      orange4 = orange_letters+3(1).
      orange5 = orange_letters+4(1).

      if word ca orange1 or orange1 is initial.
        contains_orange1 = abap_true.
      endif.

      if word ca orange2 or orange2 is initial.
        contains_orange2 = abap_true.
      endif.

      if word ca orange3 or orange3 is initial.
        contains_orange3 = abap_true.
      endif.

      if word ca orange4 or orange4 is initial.
        contains_orange4 = abap_true.
      endif.

      if word ca orange5 or orange5 is initial.
        contains_orange5 = abap_true.
      endif.

      if contains_orange1 = abap_true and
         contains_orange2 = abap_true and
         contains_orange3 = abap_true and
         contains_orange4 = abap_true and
         contains_orange5 = abap_true .

        r_contains_all_orange_letters = abap_true.

      else.

        r_contains_all_orange_letters = '-'. "abap_false.

      endif.

    endif.

  endmethod.


  method get_word_score.

    if strlen( letter1 ) > 1.
      r_word_score = r_word_score + get_letter_frequency( i_letter = i_word+0(1) i_first = abap_true ).
    endif.
    if strlen( letter2 ) > 1.
      r_word_score = r_word_score + get_letter_frequency( i_letter = i_word+1(1) i_first = abap_false ).
    endif.
    if strlen( letter3 ) > 1.
      r_word_score = r_word_score + get_letter_frequency( i_letter = i_word+2(1) i_first = abap_false ).
    endif.
    if strlen( letter4 ) > 1.
      r_word_score = r_word_score + get_letter_frequency( i_letter = i_word+3(1) i_first = abap_false ).
    endif.
    if strlen( letter5 ) > 1.
      r_word_score = r_word_score + get_letter_frequency( i_letter = i_word+4(1) i_first = abap_false ).
    endif.

  endmethod.


  method get_letter_frequency.

    field-symbols <frequency> like line of letter_frequency_tab.

    data v_index type i.

    v_index = find( val = sy-abcde sub = i_letter ) + 1.

    read table letter_frequency_tab assigning <frequency> index v_index.
    assert sy-subrc = 0.

    if i_first = abap_true.
      r_frequency = <frequency>-first_letter.
    else.
      r_frequency = <frequency>-other_letters.
    endif.

  endmethod.


  method build_letter_frequency_tab.

    "
    " Source of Letter Frequency for English Dictionary Words:
    " https://en.wikipedia.org/wiki/Letter_frequency
    "

    data frequency like line of letter_frequency_tab.

    frequency-first_letter  = '5.7'.
    frequency-other_letters = '7.8'. "A
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '6.0'.
    frequency-other_letters = '2.0'. "B
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '9.4'.
    frequency-other_letters = '4.0'. "C
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '6.1'.
    frequency-other_letters = '3.8'. "D
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '3.9'.
    frequency-other_letters = '11.0'. "E
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '4.1'.
    frequency-other_letters = '1.4'. "F
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '3.3'.
    frequency-other_letters = '3.0'. "G
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '3.7'.
    frequency-other_letters = '2.3'. "H
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '3.9'.
    frequency-other_letters = '8.2'. "I
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '1.1'.
    frequency-other_letters = '0.21'. "J
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '1.0'.
    frequency-other_letters = '2.5'. "K
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '3.1'.
    frequency-other_letters = '5.3'. "L
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '5.6'.
    frequency-other_letters = '2.7'. "M
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '2.2'.
    frequency-other_letters = '7.2'. "N
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '2.5'.
    frequency-other_letters = '6.1'. "O
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '7.7'.
    frequency-other_letters = '2.8'. "P
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '0.49'.
    frequency-other_letters = '0.24'. "Q
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '6.0'.
    frequency-other_letters = '7.3'. "R
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '11.0'.
    frequency-other_letters = '8.7'. "S
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '5.0'.
    frequency-other_letters = '6.7'. "T
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '2.9'.
    frequency-other_letters = '3.3'. "U
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '1.5'.
    frequency-other_letters = '1.0'. "V
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '2.7'.
    frequency-other_letters = '0.91'. "W
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '0.05'.
    frequency-other_letters = '0.27'. "X
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '0.36'.
    frequency-other_letters = '1.6'. "Y
    insert frequency into table letter_frequency_tab.
    frequency-first_letter  = '0.24'.
    frequency-other_letters = '0.44'. "Z
    insert frequency into table letter_frequency_tab.

  endmethod.


  method build_word_tab_v2.

    data lv_words type string.

    lv_words = 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RA,TUILE,TUINA,TUISM,TUKTU,TULES,TULIP,TULLE,TULPA,TULSI,TUMID,TUMMY,TUMOR,TUMPS,TUMPY,TUNAS,TUNDS,TUNED,TUNER,TUNES,TUNGS,TUNIC,TUNNY,TUPEK,TUPIK,TUPLE,TUQUE,TURBO,TURDS,TURFS,TURFY,TURKS,TURME,TURMS,TURNS,TURNT,TURPS,TURRS,TUSHY,TUSKS,TUSKY,TUTEE,TUTOR,TUTTI,TUTTY,TUTUS,TUXES,TUYER,TWAES,TWAIN,TWALS,TWANG,TWANK,TWATS,TWAYS,TWEAK,TWEED,TWEEL,TWEEN,TWEEP,TWEER,TWEET,TWERK,TWERP,TWICE,TWIER,TWIGS,TWILL,TWILT,TWINE,TWINK,TWINS,TWINY,TWIRE,TWIRL,TWIRP,TWIST,TWITE,TWITS,TWIXT,TWOER,TWYER,TYEES,TYERS,TYING,TYIYN,TYKES,TYLER,TYMPS,TYNDE,TYNED,TYNES,TYPAL,TYPED,TYPES,TYPEY,TYPIC,TYPOS,TYPPS,TYPTO,TYRAN,TYRED,TYRES,TYROS,TYTHE,TZARS,UDALS,UDDER,UDONS,UGALI,UGGED,UHLAN,UHURU,UKASE,ULAMA,ULANS,ULCER,ULEMA,ULMIN,ULNAD,ULNAE,ULNAR,ULNAS,ULPAN,ULTRA,ULVAS,ULYIE,ULZIE,UMAMI,UMBEL,UMBER,UMBLE,UMBOS,UMBRA,UMBRE,UMIAC,UMIAK,UMIAQ,UMMAH,UMMAS,UMMED,UMPED,UMPHS,UMPIE,UMPTY,UMRAH,UMRAS,UNAIS,UNAPT,UNARM,UNARY,UNAUS,UNBAG,UNBAN,UNBAR,UNBED,UNBID,UNBOX,UNCAP,UNCES,UNCIA,UNCLE,UNCOS,UNCOY,UNCUS,UNCUT,UNDAM,UNDEE,UNDER,UNDID,UNDOS,UNDUE,UNDUG,UNETH,UNFED,UNFIT,UNFIX,UNGAG,UNGET,UNGOD,UNGOT,UNGUM,UNHAT,UNHIP,UNICA,UNIFY,UNION,UNITE,UNITS,UNITY,UNJAM,UNKED,UNKET,UNKID,UNLAW,UNLAY,UNLED,UNLET,UNLID,UNLIT,UNMAN,UNMET,UNMEW,UNMIX,UNPAY,UNPEG,UNPEN,UNPIN,UNRED,UNRID,UNRIG,UNRIP,UNSAW,UNSAY,UNSEE,UNSET,UNSEW,UNSEX,UNSOD,UNTAX,UNTIE,UNTIL,UNTIN,UNWED,UNWET,UNWIT,UNWON,UNZIP,UPBOW,UPBYE,UPDOS,UPDRY,UPEND,UPJET,UPLAY,UPLED,UPLIT,UPPED,UPPER,UPRAN,UPRUN,UPSEE,UPSET,UPSEY,UPTAK,UPTER,UPTIE,URAEI,URALI,URAOS,URARE,URARI,URASE,URATE,URBAN,URBEX,URBIA,URDEE,UREAL,UREAS,UREDO,UREIC,URENA,URENT,URGED,URGER,URGES,URIAL,URINE,URITE,URMAN,URNAL,URNED,URPED,URSAE,URSID,URSON,URUBU,URVAS,USAGE,USERS,USHER,USING,USNEA,USQUE,USUAL,USURE,USURP,USURY,UTERI,UTILE,UTTER,UVEAL,UVEAS,UVULA,VACUA,VADED,VADES,VAGAL,VAGUE,VAGUS,VAILS,VAIRE,VAIRS,VAIRY,VAKAS,VAKIL,VALES,VALET,VALID,VALIS,VALOR,VALSE,VALUE,VALVE,VAMPS,VAMPY,VANDA,VANED,VANES,VANGS,VANTS,VAPED,VAPER,VAPES,VAPID,VAPOR,VARAN,VARAS,VARDY,VAREC,VARES,VARIA,VARIX,VARNA,VARUS,VARVE,VASAL,VASES,VASTS,VASTY,VATIC,VATUS,VAUCH,VAULT,VAUNT,VAUTE,VAUTS,VAWTE,VAXES,VEALE,VEALS,VEALY,VEENA,VEEPS,VEERS,VEERY,VEGAN,VEGAS,VEGES,VEGIE,VEGOS,VEHME,VEILS,VEILY,VEINS,VEINY,VELAR,VELDS,VELDT,VELES,VELLS,VELUM,VENAE,VENAL,VENDS,VENEY,VENGE,VENIN,VENOM,VENTS,VENUE,VENUS,VERBS,VERGE,VERRA,VERRY,VERSE,VERSO,VERST,VERTS,VERTU,VERVE,VESPA,VESTA,VESTS,VETCH,VEXED,VEXER,VEXES,VEXIL,VEZIR,VIALS,VIAND,VIBES,VIBEX,VIBEY,VICAR,VICED,VICES,VICHY,VIDEO,VIERS,VIEWS,VIEWY,VIFDA,VIFFS,VIGAS,VIGIA,VIGIL,VIGOR,VILDE,VILER,VILLA,VILLI,VILLS,VIMEN,VINAL,VINAS,VINCA,VINED,VINER,VINES,VINEW,VINIC,VINOS,VINTS,VINYL,VIOLA,VIOLD,VIOLS,VIPER,VIRAL,VIRED,VIREO,VIRES,VIRGA,VIRGE,VIRID,VIRLS,VIRTU,VIRUS,VISAS,VISED,VISES,VISIE,VISIT,VISNE,VISON,VISOR,VISTA,VISTO,VITAE,VITAL,VITAS,VITEX,VITRO,VITTA,VIVAS,VIVAT,VIVDA,VIVER,VIVES,VIVID,VIXEN,VIZIR,VIZOR,VLEIS,VLIES,VLOGS,VOARS,VOCAB,VOCAL,VOCES,VODDY,VODKA,VODOU,VODUN,VOEMA,VOGIE,VOGUE,VOICE,VOIDS,VOILA,VOILE,VOIPS,VOLAE,VOLAR,VOLED,VOLES,VOLET,VOLKS,VOLTA,VOLTE,VOLTI,VOLTS,VOLVA,VOLVE,VOMER,VOMIT,VOTED,VOTER,VOTES,VOUCH,VOUGE,VOULU,VOWED,VOWEL,VOWER,VOXEL,VOZHD,VRAIC,VRILS,VROOM,VROUS,VROUW,VROWS,VUGGS,VUGGY,VUGHS,VUGHY,VULGO,VULNS,VULVA,VUTTY,VYING,WAACS,WACKE,WACKO,WACKS,WACKY,WADDS,WADDY,WADED,WADER,WADES,WADGE,WADIS,WADTS,WAFER,WAFFS,WAFTS,WAGED,WAGER,WAGES,WAGGA,WAGON,WAGYU,WAHOO,WAIDE,WAIFS,WAIFT,WAILS,WAINS,WAIRS,WAIST,WAITE,WAITS,WAIVE,WAKAS,WAKED,WAKEN,WAKER,WAKES,WAKFS,WALDO,WALDS,WALED,WALER,WALES,WALIE,WALIS,WALKS,WALLA,WALLS,WALLY,WALTY,WALTZ,WAMED,WAMES,WAMUS,WANDS,WANED,WANES,WANEY,WANGS,WANKS,WANKY,WANLE,WANLY,WANNA,WANTS,WANTY,WANZE,WAQFS,WARBS,WARBY,WARDS,WARED,WARES,WAREZ,WARKS,WARMS,WARNS,WARPS,WARRE,WARST,WARTS,WARTY,WASES,WASHY,WASMS,WASPS,WASPY,WASTE,WASTS,WATAP,WATCH,WATER,WATTS,WAUFF,WAUGH,WAUKS,WAULK,WAULS,WAURS,WAVED,WAVER,WAVES,WAVEY,WAWAS,WAWES,WAWLS,WAXED,WAXEN,WAXER,WAXES,WAYED,WAZIR,WAZOO,WEALD,WEALS,WEAMB,WEANS,WEARS,WEARY,WEAVE,WEBBY,WEBER,WECHT,WEDEL,WEDGE,WEDGY,WEEDS,WEEDY,WEEKE,WEEKS,WEELS,WEEMS,WEENS,WEENY,WEEPS,WEEPY,WEEST,WEETE,WEETS,WEFTE,WEFTS,WEIDS,WEIGH,WEILS,WEIRD,WEIRS,WEISE,WEIZE,WEKAS,WELCH,WELDS,WELKE,WELKS,WELKT,WELLS,WELLY,WELSH,WELTS,WEMBS,WENCH,WENDS,WENGE,WENNY,WENTS,WEROS,WERSH,WESTS,WETAS,WETLY,WEXED,WEXES,WHACK,WHALE,WHAMO,WHAMS,WHANG,WHAPS,WHARE,WHARF,WHATA,WHATS,WHAUP,WHAUR,WHEAL,WHEAR,WHEAT,WHEEL,WHEEN,WHEEP,WHEFT,WHELK,WHELM,WHELP,WHENS,WHERE,WHETS,WHEWS,WHEYS,WHICH,WHIDS,WHIFF,WHIFT,WHIGS,WHILE,WHILK,WHIMS,WHINE,WHINS,WHINY,WHIOS,WHIPS,WHIPT,WHIRL,WHIRR,WHIRS,WHISH,WHISK,WHISS,WHIST,WHITE,WHITS,WHITY,WHIZZ,WHOLE,WHOMP,WHOOF,WHOOP,WHOOT,WHOPS,WHORE,WHORL,WHORT,WHOSE,WHOSO,WHOWS,WHUMP,WHUPS,WHYDA,WICCA,WICKS,WICKY,WIDDY,WIDEN,WIDER,WIDES,WIDOW,WIDTH,WIELD,WIELS,WIFED,WIFES,WIFEY,WIFIE,WIFTY,WIGAN,WIGGY,WIGHT,WIKIS,WILCO,WILDS,WILED,WILES,WILGA,WILIS,WILJA,WILLS,WILLY,WILTS,WIMPS,WIMPY,WINCE,WINCH,WINDS,WINDY,WINED,WINES,WINEY,WINGE,WINGS,WINGY,WINKS,WINNA,WINNS,WINOS,WINZE,WIPED,WIPER,WIPES,WIRED,WIRER,WIRES,WIRRA,WISED,WISER,WISES,WISHA,WISHT,WISPS,WISPY,WISTS,WITAN,WITCH,WITED,WITES,WITHE,WITHS,WITHY,WITTY,WIVED,WIVER,WIVES,WIZEN,WIZES,WOADS,WOALD,WOCKS,WODGE,WOFUL,WOJUS,WOKEN,WOKER,WOKKA,WOLDS,WOLFS,WOLLY,WOLVE,WOMAN,WOMBS,WOMBY,WOMEN,WOMYN,WONGA,WONGI,WONKS,WONKY,WONTS,WOODS,WOODY,WOOED,WOOER,WOOFS,WOOFY,WOOLD,WOOLS,WOOLY,WOONS,WOOPS,WOOPY,WOOSE,WOOSH,WOOTZ,WOOZY,WORDS,WORDY,WORKS,WORLD,WORMS,WORMY,WORRY,WORSE,WORST,WORTH,WORTS,WOULD,WOUND,WOVEN,WOWED,WOWEE,WOXEN,WRACK,WRANG,WRAPS,WRAPT,WRAST,WRATE,WRATH,WRAWL,WREAK,WRECK,WRENS,WREST,WRICK,WRIED,WRIER,WRIES,WRING,WRIST,WRITE,WRITS,WROKE,WRONG,WROOT,WROTE,WROTH,WRUNG,WRYER,WRYLY,WUDDY,WUDUS,WULLS,WURST,WUSES,WUSHU,WUSSY,WUXIA,WYLED,WYLES,WYNDS,WYNNS,WYTED,WYTES,XEBEC,XENIA,XENIC,XENON,XERIC,XEROX,XERUS,XOANA,XRAYS,XYLAN,XYLEM,XYLIC,XYLOL,XYLYL,XYSTI,XYSTS,YAARS,YABAS,YABBA,YABBY,YACCA,YACHT,YACKA,YACKS,YAFFS,YAGER,YAGES,YAGIS,YAHOO,YAIRD,YAKKA,YAKOW,YALES,YAMEN,YAMPY,YAMUN,YANGS,YANKS,YAPOK,YAPON,YAPPS,YAPPY,YARAK,YARCO,YARDS,YARER,YARFA,YARKS,YARNS,YARRS,YARTA,YARTO,YATES,YAUDS,YAULD,YAUPS,YAWED,YAWEY,YAWLS,YAWNS,YAWNY,YAWPS,YBORE,YCLAD,YCLED,YCOND,YDRAD,YDRED,YEADS,YEAHS,YEALM,YEANS,YEARD,YEARN,YEARS,YEAST,YECCH,YECHS,YECHY,YEDES,YEEDS,YEESH,YEGGS,YELKS,YELLS,YELMS,YELPS,YELTS,YENTA,YENTE,YERBA,YERDS,YERKS,YESES,YESKS,YESTS,YESTY,YETIS,YETTS,YEUKS,YEUKY,YEVEN,YEVES,YEWEN,YEXED,YEXES,YFERE,YIELD,YIKED,YIKES,YILLS,YINCE,YIPES,YIPPY,YIRDS,YIRKS,YIRRS,YIRTH,YITES,YITIE,YLEMS,YLIKE,YLKES,YMOLT,YMPES,YOBBO,YOBBY,YOCKS,YODEL,YODHS,YODLE,YOGAS,YOGEE,YOGHS,YOGIC,YOGIN,YOGIS,YOICK,YOJAN,YOKED,YOKEL,YOKER,YOKES,YOKUL,YOLKS,YOLKY,YOMIM,YOMPS,YONIC,YONIS,YONKS,YOOFS,YOOPS,YORES,YORKS,YORPS,YOUKS,YOUNG,YOURN,YOURS,YOURT,YOUSE,YOUTH,YOWED,YOWES,YOWIE,YOWLS,YOWZA,YRAPT,YRENT,YRIVD,YRNEH,YSAME,YTOST,YUANS,YUCAS,YUCCA,YUCCH,YUCKO,YUCKS,YUCKY,YUFTS,YUGAS,YUKED,YUKES,YUKKY,YUKOS,YULAN,YULES,YUMMO,YUMMY,YUMPS,YUPON,YUPPY,YURTA,YURTS,YUZUS,ZABRA,ZACKS,ZAIDA,ZAIDY,ZAIRE,ZAKAT,ZAMAN,ZAMIA,ZANJA,ZANTE,ZANZA,ZANZE,ZAPPY,ZARFS,ZARIS,ZATIS,ZAXES,ZAYIN,ZAZEN,ZEALS,ZEBEC,ZEBRA,ZEBUB,ZEBUS,ZEDAS,ZEINS,ZENDO,ZERDA,ZERKS,ZEROS,ZESTS,ZESTY,ZETAS,ZEXES,ZEZES,ZHOMO,ZIBET,ZIFFS,ZIGAN,ZILAS,ZILCH,ZILLA,ZILLS,ZIMBI,ZIMBS,ZINCO,ZINCS,ZINCY,ZINEB,ZINES,ZINGS,ZINGY,ZINKE,ZINKY,ZIPPO,ZIPPY,ZIRAM,ZITIS,ZIZEL,ZIZIT,ZLOTE,ZLOTY,ZOAEA,ZOBOS,ZOBUS,ZOCCO,ZOEAE,ZOEAL,ZOEAS,ZOISM,ZOIST,ZOMBI,ZONAE,ZONAL,ZONDA,ZONED,ZONER,ZONES,ZONKS,ZOOEA,ZOOEY,ZOOID,ZOOKS,ZOOMS,ZOONS,ZOOTY,ZOPPA,ZOPPO,ZORIL,ZORIS,ZORRO,ZOUKS,ZOWEE,ZOWIE,ZULUS,ZUPAN,ZUPAS,ZUPPA,ZURFS,ZUZIM,ZYGAL,ZYGON,ZYMES,ZYMIC'.

    split lv_words at ',' into table word_tab.

  endmethod.


endclass.

" START-OF-SELECTION.
data wordle_assistant type ref to lcl_wordle.

create object wordle_assistant.

" Example:
"
" RANGE (A orange)
" ATLAS (ALS orange)
" SLASH (HL orange, SA green, EGNRT black)  <<< test case
" SHALL (all green)
"
" wordle_assistant->main(
"   i_letter_1       = 'S'
"   i_letter_2       = ''
"   i_letter_3       = 'A'
"   i_letter_4       = ''
"   i_letter_5       = ''
"   i_black_letters  = 'EGNRT'
"   i_orange_letters = 'HL'
" ).

wordle_assistant->main(
  i_letter_1       = ''
  i_letter_2       = ''
  i_letter_3       = ''
  i_letter_4       = ''
  i_letter_5       = ''
  i_black_letters  = ''
  i_orange_letters = ''
).