remove old textgen

textgen.py_deprecated

@@ -1,68 +0,0 @@
-#!/usr/bin/env python3
-
-from rich.traceback import install
-
-install()
-
-import re
-import random
-
-
-class TextGen:
-    def __init__(self, filename, n):
-        with open(filename) as file:
-            self.wordbase = re.sub(r"[^a-zäöüß'.,]+", " ", file.read().lower()).split()
-
-        self.word_table = dict()
-        self.order = n
-
-        self.train_words(self.order)
-
-    def train_words(self, n):
-        """
-        Erzeugt die Markov-Chain mit Prefix-Länge n
-        """
-        print(f"Training with {len(self.wordbase)} words.")
-
-        # init the frequencies
-        for i in range(len(self.wordbase) - n - 1):
-            prefix = tuple(self.wordbase[i : i + n])
-            suffix = self.wordbase[i + n]
-
-            if prefix not in self.word_table:
-                self.word_table[prefix] = []
-
-            # if suffix not in self.table[prefix]: # disable for probabilities
-            self.word_table[prefix].append(suffix)
-
-        print(f"Generated suffixes for {len(self.word_table)} prefixes.")
-
-    def generate_random(self, n):
-        fword = random.choice(list(self.word_table.keys()))
-        output = [*fword]
-
-        for _ in range(self.order, n):
-            output.append(self.generate_word_by_word(tuple(output[-self.order :])))
-
-        return output
-
-    def generate_word_by_word(self, prefix: tuple):
-        if prefix not in self.word_table:
-            print(f"Prefix {prefix} not in table")
-            for key in self.word_table.keys():
-                if key[-1] == prefix[-1]:
-                    return random.choice(self.word_table[key])
-
-        return random.choice(self.word_table[prefix])
-
-    def generate_sentences(self, n):
-        return [self.generate_sentence for _ in range(n)]
-
-    def generate_sentence(self):
-        fword = random.choice(list(self.word_table.keys()))
-        output = [*fword]
-
-        while "." not in output[-1]:
-            output.append(self.generate_word_by_word(tuple(output[-self.order :])))
-
-        return output