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Class.py

+class DataProcessor:
+    def __init__(self, model, storage):
+        self.model = model
+        self.storage = storage
+
+    def process(self, data):
+        processed_text = self._preprocess(data)
+        tokens = self.model.tokenize(processed_text)
+        category = self.model.classify(processed_text)
+        entities = self.model.extract_entities(processed_text)
+        result = {"tokens": tokens, "category": category, "entities": entities}
+        self.storage.save(result)
+        return result
+
+    def _preprocess(self, text):
+        return text.strip().lower()
+
+class NLPModel:
+    def tokenize(self, text):
+        return text.split()
+
+    def classify(self, text):
+        return "UNKNOWN"
+
+    def extract_entities(self, text):
+        return []
+
+class DataStorage:
+    def save(self, data):
+        print(f"Сохранено: {data}")
+        return True
+
+    def load(self):
+        return {}
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