commit
This commit is contained in:
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54d05d9849
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315
exclude.py
Normal file
315
exclude.py
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@ -0,0 +1,315 @@
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EXCLUDED_WORDS = {
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"dir",
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"die",
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"das",
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"wird",
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"werden",
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"war",
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"im",
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"in",
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"mit",
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"ohne",
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"schade",
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"abfahren",
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"aktivieren",
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"anbeten",
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"anhalten",
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"antreffen",
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"arbeiten",
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"ärgern",
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"aufatmen",
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"austeilen",
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"ausstellen",
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"backen",
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"baden",
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"befehlen",
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"beginnen",
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"beissen",
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"bejahen",
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"belegen",
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"bestimmen",
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"bilden",
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"bluten",
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"bremsen",
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"charakterisieren",
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"chippen",
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"codieren",
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"covern",
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"dableiben",
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"dagegenhalten",
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"dahinplätschern",
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"dämmern",
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"danken",
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"decken",
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"deklinieren",
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"denken",
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"deuten",
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"dienen",
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"dolmetschen",
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"drucken",
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"drücken",
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"durchgeben",
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"ehelichen",
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"eifern",
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"einbauen",
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"einfallen",
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"ekeln",
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"emporblicken",
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"entbinden",
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"entriegeln",
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"entwickeln",
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"ergreifen",
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"erziehen",
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"essen",
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"explodieren",
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"fahren",
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"fallen",
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"fällen",
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"fangen",
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"fasten",
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"feilen",
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"festlegen",
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"fiebern",
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"fixieren",
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"fliessen",
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"folgen",
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"fördern",
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"freuen",
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"funken",
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"gackern",
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"galoppieren",
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"garantieren",
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"gebrauchen",
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"gedenken",
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"genehmigen",
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"geniessen",
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"gleichen",
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"glühen",
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"garnieren",
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"greifen",
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"gründen",
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"haben",
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"hacken",
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"halten",
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"handeln",
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"hassen",
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"hauen",
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"heften",
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"heilen",
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"herumlaufen",
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"hoffen",
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"honorieren",
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"anzeigen",
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"idealisieren",
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"illuminieren",
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"implizieren",
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"infiltrieren",
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"inserieren",
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"investieren",
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"irren",
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"jagen",
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"jammern",
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"jauchzen",
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"joggen",
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"jubeln",
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"justieren",
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"kalkulieren",
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"kaltmachen",
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"kämmen",
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"kämpfen",
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"kapitulieren",
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"kegeln",
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"kellnern",
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"kichern",
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"klagen",
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"klären",
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"klumpen",
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"knacken",
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"konsumieren",
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"kreisen",
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"kurieren",
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"labern",
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"lachen",
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"landen",
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"lassen",
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"leben",
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"leeren",
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"leihen",
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"lenken",
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"leuchten",
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"liefern",
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"loben",
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"lohnen",
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"losziehen",
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"lüften",
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"machen",
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"malen",
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"manipulieren",
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"marschieren",
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"mässigen",
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"messen",
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"mindern",
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"mischen",
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"mosern",
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"mühen",
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"nachbereiten",
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"nachgucken",
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"nächtigen",
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"nähen",
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"nähren",
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"neiden",
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"nerven",
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"niedermachen",
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"niesen",
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"normalisieren",
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"nötigen",
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"nutzen",
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"obsiegen",
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"öden",
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"offenbaren",
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"ökonomisieren",
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"ölen",
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"operieren",
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"ordnen",
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"orten",
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"paaren",
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"pachten",
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"packen",
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"parken",
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"passen",
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"pauken",
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"peitschen",
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"personalisieren",
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"pfeifen",
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"pflegen",
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"picken",
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"planen",
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"praktizieren",
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"proben",
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"protokollieren",
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"quadrieren",
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"quaken",
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"quälen",
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"qualifizieren",
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"qualmen",
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"quatschen",
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"quengeln",
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"querlegen",
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"quietschen",
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"quittieren",
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"radieren",
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"rahmen",
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"rangieren",
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"ranken",
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"rankommen",
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"raten",
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"räumen",
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"rechnen",
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"reden",
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"regeln",
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"reichen",
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"reinigen",
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"reparieren",
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"respektieren",
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"rinnen",
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"rollen",
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"rosten",
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"rückkehren",
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"ruhen",
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"rutschen",
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"sabbern",
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"sagen",
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"sägen",
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"salzen",
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"saugen",
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"schaben",
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"schenken",
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"schiessen",
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"schlemmen",
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"schlingern",
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"schnappen",
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"schnitzen",
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"schwärzen",
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"sehen",
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"setzen",
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"sichern",
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"sprechen",
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"stehen",
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"strömen",
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"studieren",
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"tafeln",
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"tagen",
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"tanken",
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"tauschen",
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"teilen",
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"telefonieren",
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"testen",
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"tieferlegen",
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"tippen",
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"töten",
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"träumen",
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"trinken",
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"twittern",
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"üben",
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"überanstrengen",
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"überbacken",
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"umändern",
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"umhören",
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"unterbrechen",
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"unternehmen",
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"urteilen",
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"vakuumieren",
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"variieren",
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"verabreden",
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"verallgemeinern",
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"verbinden",
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"verderben",
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"vergeben",
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"verlangen",
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"vertragen",
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"vierteln",
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"vollziehen",
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"vorangehen",
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"vorausahnen",
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"vorbringen",
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"voten",
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"wachen",
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"wagen",
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"wählen",
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"wahren",
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"wallfahren",
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"wandern",
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"wärmen",
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"wässern",
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"weggehen",
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"weichen",
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"weitermachen",
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"werben",
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"wertschätzen",
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"wichteln",
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"widersprechen",
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"wiederholen",
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"wollen",
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"wurzeln",
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"zahlen",
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"zahnen",
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"zappeln",
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"zaubern",
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"zeichnen",
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"zelten",
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"zerdrücken",
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"zeugen",
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"ziehen",
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"zieren",
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"zischen",
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"zivilisieren",
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"zubereiten",
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"zucken",
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"zudecken",
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"zurückweichen",
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"zusammenleben",
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"zustossen",
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"zwingen",
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}
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94
tagger.py
94
tagger.py
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@ -1,33 +1,73 @@
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from pathlib import Path
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import re
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from dataclasses import dataclass
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from html.parser import HTMLParser
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from pathlib import Path
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from exclude import EXCLUDED_WORDS
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upper_check = re.compile(r'[A-Z]')
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def scan_file(file: Path):
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content = read_file(file)
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@dataclass
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class Tag:
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name: str
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score: int
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class FileScanner(HTMLParser):
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def __init__(self, file: Path):
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super().__init__()
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self.file = file
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self.texte = []
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words_with_usage = {}
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words = re.split(' /-_', content)
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print(f'File {file.parent.name} contains {len(words)} words')
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title_words = set(file.name.split('-'))
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for word in words:
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word = word.strip(" .,:;-_!\"'<>")
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score = 10
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if word in title_words:
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score *= 4
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if len(word) <= 3:
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score //= 2
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if word in words_with_usage:
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words_with_usage[word] += score
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else:
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words_with_usage[word] = score
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sorted_list = sorted(words_with_usage.items(), key=lambda item: item[1], reverse=True)
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display_result(sorted_list)
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def scan_file(self):
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content = read_file(self.file)
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self.feed(content)
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words_with_usage = {}
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words = []
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for text in self.texte:
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words += re.split(r'[ /\-_#\n]', text)
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print(f'\nFile {self.file.parent.name} contains {len(words)} words')
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title_words = set(self.file.parent.name.split('-'))
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for word in words:
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tag_name = word.strip(".,:;!\"'<>()")
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word = tag_name.lower()
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if not word:
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continue
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score = 10
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if word in EXCLUDED_WORDS:
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score = 0
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if word in title_words:
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score *= 4
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if len(word) <= 3:
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score //= 2
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upper_letters_count = len(upper_check.findall(tag_name))
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score *= upper_letters_count
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if word not in words_with_usage:
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words_with_usage[word] = Tag(name=tag_name, score=score)
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else:
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words_with_usage[word].score += score
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sorted_list = sorted(words_with_usage.values(), key=lambda tag: tag.score, reverse=False)
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display_result(sorted_list)
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def handle_starttag(self, tag, attrs):
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if tag != "a":
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return
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for attr_name, attr_value in attrs:
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if attr_name == "href":
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self.texte.append(attr_value)
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break
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def handle_data(self, data):
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self.texte.append(data)
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def display_result(result):
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for word, usage in result:
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if usage > 1:
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print(f"Score: {usage:>3} Word: {word}")
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for tag in result:
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if tag.score <= 10:
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continue
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print(f"Score: {tag.score:>3} Word: {tag.name}")
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def read_file(file: Path) -> str:
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@ -36,9 +76,11 @@ def read_file(file: Path) -> str:
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def main(source=Path('data')):
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for file in source.glob('**/index.txt'):
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scan_file(file)
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break
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for index, file in enumerate(source.glob('**/index.txt')):
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scanner = FileScanner(file)
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scanner.scan_file()
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# if index == 3:
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# break
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if __name__ == '__main__':
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