{"request":{"endpoint":"https://exercism.org/api/v2/tracks/abap/exercises/word-count/community_solutions","query":{},"options":{"initial_data":{"results":[{"uuid":"f7e2f4d57aac43d5b5ba3af4a93130b4","snippet":" METHOD count_words. phrase = to_lower( phrase ). phrase = replace( val = phrase sub = '\n' with = | | occ = 0 ). phrase = replace( val = phrase sub = '\t' with = | | occ = 0 ). phrase = replace( val = phrase sub = ',' with = | | occ = 0 ). phrase = replace( val = phrase regex = '[^a-z0-9 ]' with = '' occ = 0 ). SPLIT phrase AT ' ' INTO TABLE DATA(words). LOOP AT words ASSIGNING FIELD-SYMBOL(). ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":5,"num_iterations":2,"num_loc":38,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2022-11-30T10:46:30.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"Yosushika"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/Yosushika","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"04fb71141cfc488fb952e3d551491748","snippet":" METHOD count_words. DATA(a) = phrase. a = to_lower( phrase ). a = replace( val = a sub = '\n' with = | | occ = 0 ). a = replace( val = a sub = '\t' with = | | occ = 0 ). a = replace( val = a sub = ',' with = | | occ = 0 ). a = replace( val = a regex = '[^a-z0-9 ]' with = '' occ = 0 ). SPLIT a AT ' ' INTO TABLE DATA(words). LOOP AT words ASSIGNING FIELD-SYMBOL(). CHECK IS NOT INITIAL. ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":3,"num_iterations":2,"num_loc":39,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2023-08-01T13:31:39.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"ne1zzer"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/ne1zzer","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"89238d1055c543cb81166b0a4e79a726","snippet":" METHOD count_words. DATA(clean) = replace( val = to_lower( phrase ) sub = `'` with = `` occ = 0 ). clean = replace( val = clean sub = `\n` with = ` ` occ = 0 ). clean = replace( val = clean sub = `\t` with = ` ` occ = 0 ). clean = replace( val = clean regex = `[^a-z0-9]` with = ` ` occ = 0 ). SPLIT condense( clean ) AT ` ` INTO TABLE DATA(words). LOOP AT words INTO DATA(word). DATA(one_result) = VALUE return_structure( word = word count = 1 ). ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":2,"num_iterations":1,"num_loc":37,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2022-06-08T11:59:44.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"mbtools"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/mbtools","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"8b5274f48a6d43aebd8f80b76007ccfc","snippet":" METHOD count_words. phrase = TO_LOWER( phrase ). phrase = REPLACE( val = phrase sub = '\n' with = | | occ = 0 ). phrase = REPLACE( val = phrase sub = '\t' with = | | occ = 0 ). phrase = REPLACE( val = phrase sub = ',' with = | | occ = 0 ). phrase = REPLACE( val = phrase regex = '[^a-z0-9 ]' with = ' ' occ = 0 ). SPLIT phrase AT ' ' INTO TABLE DATA(words). LOOP AT words ASSIGNING FIELD-SYMBOL(). CHECK IS NOT INITIAL. ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":2,"num_iterations":1,"num_loc":38,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2023-12-06T06:50:18.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"Smasher"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/Smasher","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"d411f453a3284571837a434794dd154d","snippet":" METHOD count_words. REPLACE ALL OCCURRENCES: OF REGEX '[,.! '''' IN phrase WITH '', '\n' IN phrase WITH ''. condense phrase. SPLIT to_lower( phrase ) AT space INTO TABLE DATA(word_string). LOOP AT word_string INTO DATA(word). DATA(one_result) = VALUE return_structure( word = word count = 1 ). READ TABLE result ASSIGNING FIELD-SYMBOL() WITH TABLE KEY word = one_result-word. IF sy-subrc = 0. ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":2,"num_iterations":2,"num_loc":37,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2023-09-20T13:03:38.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"Hirwa"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/Hirwa","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"bb2568b48fe34e1394f477fcb1cc3f84","snippet":" METHOD count_words. DATA(text) = replace( val = to_lower( phrase ) sub = `'` with = `` occ = 0 ). text = replace( val = text sub = `\n` with = ` ` occ = 0 ). text = replace( val = text ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":2,"num_iterations":1,"num_loc":49,"iteration_status":"analyzing","published_iteration_head_tests_status":"passed","published_at":"2024-11-21T06:09:24.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"Onder-MuratCan"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/Onder-MuratCan","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"635ca72765df4a89928ec2ef57d5eb46","snippet":" METHOD count_words. DATA return_struc type return_structure. data(results) = replace( val = phrase regex = '[,:!?&@$%^&.]' with = ` ` occ = 0 ). results = replace( val = results sub = '\n' with = ` ` occ = 0 ). ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":2,"num_iterations":1,"num_loc":56,"iteration_status":"analyzing","published_iteration_head_tests_status":"passed","published_at":"2024-07-20T14:06:43.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"getavi"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/getavi","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"44365e88acc849049d70f625f3848d3b","snippet":" METHOD count_words. DATA separator TYPE c VALUE '#'. DATA(lv_phrase) = replace( val = phrase regex = `'` with = space occ = 0 ). lv_phrase = replace( val = lv_phrase regex = '\\t|\\n' with = space occ = 0 ). lv_phrase = to_lower( replace( val = lv_phrase regex = '[^A-Za-z0-9]' with = separator occ = 0 ) ). SPLIT lv_phrase AT separator INTO TABLE DATA(phrase_words). LOOP AT phrase_words REFERENCE INTO DATA(phrase_word) WHERE table_line IS NOT INITIAL. ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":1,"num_loc":35,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2022-10-01T11:14:47.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"Doom"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/Doom","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"0b3fa31fad734038bb752692865d430d","snippet":" METHOD count_words. DATA return_data_struct TYPE return_structure. DATA(modified_phrase) = replace( val = phrase sub = `,` with = ` ` occ = 0 ). modified_phrase = replace( val = modified_phrase sub = `\n` with = ` ` occ = 0 ). modified_phrase = translate( val = to_lower( modified_phrase ) from = `,:!!&@$%^&.'` to = `` ). SPLIT modified_phrase AT space INTO TABLE DATA(wordtab). DELETE wordtab WHERE table_line = space. SORT wordtab ASCENDING BY table_line. ","num_views":0,"num_stars":1,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":1,"num_loc":40,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2022-09-27T06:19:58.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"gopal-kr"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/gopal-kr","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"e4d88f05a249414b94b78f9b5adea4b9","snippet":" METHOD count_words. DATA(text) = replace( val = to_lower( phrase ) sub = `'` with = `` occ = 0 ). text = replace( val = text sub = `\n` with = ` ` occ = 0 ). text = replace( val = text ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":1,"num_loc":48,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2022-10-10T11:09:43.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"AKJK"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/AKJK","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"9a6a90b9befa4c98bd1a1e501d28388f","snippet":" METHOD count_words. DATA found_words TYPE STANDARD TABLE OF string WITH EMPTY KEY. TRANSLATE phrase TO LOWER CASE. REPLACE ALL OCCURRENCES OF '\n' IN phrase WITH ' '. REPLACE ALL OCCURRENCES OF REGEX |[,]| IN phrase WITH | |. REPLACE ALL OCCURRENCES OF REGEX |[!&@#$%^& IN phrase WITH ||. CONDENSE phrase. SPLIT phrase AT space INTO TABLE DATA(words). ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":2,"num_loc":37,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2022-09-27T12:16:16.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"phrexx91"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/phrexx91","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"2878ab4d03ba4201a0d8aab7ba792bbc","snippet":" METHOD count_words. data(line) = condense( val = phrase from = `,.:!` ). replace all OCCURRENCES OF `\n` in line with ' '. SPLIT line AT ' ' INTO TABLE DATA(words). result = reduce #( init r = value return_table( ) for wa in words let curr_wd = to_lower( replace( val = wa regex = `\W` with = `` occ = 0 ) ) in next r = add_1( itab = r sword = curr_wd ) ). ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":1,"num_loc":46,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2022-10-30T14:31:12.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"Mendzyy"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/Mendzyy","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"9b3853f414fb40389ff8a16d173342bf","snippet":" METHOD count_words. DATA(lv_phrase) = to_lower( phrase ). REPLACE ALL OCCURRENCES OF REGEX '[.:!&@$%^&? REPLACE ALL OCCURRENCES OF '\t' IN lv_phrase WITH ` `. REPLACE ALL OCCURRENCES OF '\n' IN lv_phrase WITH ` `. REPLACE ALL OCCURRENCES OF '''' IN lv_phrase WITH ''. CONDENSE lv_phrase. SPLIT lv_phrase AT ` ` INTO TABLE DATA(lt_val). DATA(lt_tmp) = lt_val. ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":3,"num_loc":41,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2023-04-18T07:59:22.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"DigeshP"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/DigeshP","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"9cb980b871fe4f718c677b4cb945fdf3","snippet":" METHOD count_words. phrase = replace(val = phrase regex = '[,]' with = ` ` occ = 0 ). phrase = replace(val = phrase sub = '\n' with = ' ' occ = 0 ). phrase = replace( val = phrase regex = '[_@!$%:&^.]' with = '' occ = 0 ). phrase = replace( val = phrase sub = `'` with = '' occ = 0 ). phrase = to_lower( val = phrase ). split phrase at space into table data(words). delete words where table_line is initial. Loop at words assigning field-symbol(). ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":1,"num_loc":38,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2023-01-19T08:31:53.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"ShwethaN"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/ShwethaN","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"d0ebfbb3dfc24f53874b923a4794ee34","snippet":"METHOD count_words. DATA(new_phrase) = replace( val = to_lower( phrase ) sub = `'` with = `` occ = 0 ). new_phrase = replace( val = new_phrase sub = `\n` with = ` ` occ = 0 ). new_phrase = replace( val = new_phrase sub = `\t` with = ` ` occ = 0 ). new_phrase = replace( val = new_phrase regex = `[^a-z0-9]` with = ` ` occ = 0 ). SPLIT condense( new_phrase ) AT ` ` INTO TABLE DATA(words). LOOP AT words INTO DATA(word). READ TABLE result ASSIGNING FIELD-SYMBOL() WITH TABLE KEY word = word. ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":1,"num_loc":37,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2023-06-22T14:28:32.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"1emreaydin"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/1emreaydin","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"288af184668540218bcf14110689a4a6","snippet":" METHOD count_words. DATA(mod_string) = replace( val = phrase sub = |'| with = || occ = 0 ). mod_string = replace( val = mod_string sub = |\\n| with = | | occ = 0 ). mod_string = replace( val = mod_string sub = |\\t| with = | | occ = 0 ). mod_string = replace( val = mod_string regex = '\W' with = | | occ = 0 ). SPLIT mod_string AT space INTO TABLE DATA(words). result = VALUE #( FOR IN words ( word = to_lower( ) ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":2,"num_loc":45,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2023-03-22T12:13:31.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"JoachimEck"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/JoachimEck","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"39d2f9e13e694bbbb9b67f9d41b40e1e","snippet":" METHOD count_words. SPLIT clean( phrase ) AT space INTO TABLE DATA(words). LOOP AT words INTO DATA(word). ASSIGN result[ word = word ] TO FIELD-SYMBOL(). IF sy-subrc <> 0. APPEND VALUE #( word = word ) TO result ASSIGNING . ENDIF. -count += 1. ENDLOOP. ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":2,"num_loc":41,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2023-08-30T18:01:56.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"brehberg"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/brehberg","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"9739a72c09cc492ab14095d6ae207fb5","snippet":" METHOD count_words. DATA(lv_phrase) = to_lower( phrase ). DATA(counter) = 0. lv_phrase = TRANSLATE( val = lv_phrase from = `,:!!&@$%^&.` to = ` `). REPLACE ALL OCCURRENCES OF '\n' IN lv_phrase WITH ` `. lv_phrase = TRANSLATE( val = lv_phrase from = `''` to = ``). SPLIT lv_phrase AT ` ` INTO TABLE DATA(table_string). ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":1,"num_loc":39,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2023-10-06T14:49:59.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"laura-gitgit"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/laura-gitgit","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"e62f1af9803448c9a354b8dd5c62cd20","snippet":" METHOD count_words. DATA: ls_return TYPE return_structure, lv_phrase TYPE string. ls_return-count = 1. lv_phrase = to_lower( phrase ). lv_phrase = REPLACE( val = lv_phrase sub = '\n' WITH = | | occ = 0 ). lv_phrase = REPLACE( val = lv_phrase sub = '\t' WITH = | | occ = 0 ). lv_phrase = REPLACE( val = lv_phrase sub = ',' WITH = | | occ = 0 ). ","num_views":0,"num_stars":0,"num_comments":0,"representation_num_published_solutions":1,"num_iterations":2,"num_loc":42,"iteration_status":"no_automated_feedback","published_iteration_head_tests_status":"passed","published_at":"2023-02-08T15:01:43.000Z","is_out_of_date":false,"language":"abap","author":{"handle":"Moomimtrolly"},"exercise":{"title":"Μέτρηση λέξεων","icon_url":"https://assets.exercism.org/exercises/word-count.svg"},"track":{"title":"ABAP","icon_url":"https://assets.exercism.org/tracks/abap.svg","highlightjs_language":"abap"},"links":{"public_url":"https://exercism.org/el/tracks/abap/exercises/word-count/solutions/Moomimtrolly","private_iterations_url":"https://exercism.org/el/tracks/abap/exercises/word-count/iterations"}},{"uuid":"46b286d77c4447adb1f4639506b61624","snippet":" METHOD count_words. DATA lt_string TYPE string_table. DATA lt_string_single TYPE string_table. DATA lv_count TYPE i. TRANSLATE phrase TO lower case. REPLACE ALL OCCURRENCES OF ',' in phrase WITH ` `. REPLACE ALL OCCURRENCES OF ':' in phrase WITH ''. REPLACE ALL OCCURRENCES OF '!' in phrase WITH ''. REPLACE ALL OCCURRENCES OF '&' in phrase WITH ''. REPLACE ALL OCCURRENCES OF '@' in phrase WITH ''. 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