Improvement on resolving token system conflict
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8f49bfd610
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@ -414,23 +414,23 @@ text_list = [
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"Send 15 rupee# to swap-rupee-article@ its FLO address being FJXw6QGVVaZVvqpyF422Aj4FWQ6jm8p2dL$"
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]
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text_list1 = [
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"create 5 million rmt#"
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]
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for text in text_list1:
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text = text_preprocessing(text)
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first_classification = firstclassification_rawstring(text)
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parsed_data = None
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if first_classification['categorization'] == 'tokensystem-C':
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pdb.set_trace()
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# Resolving conflict for 'tokensystem-C'
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tokenamount = apply_rule1(extractAmount_rule,text)
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operation = apply_rule1(selectCateogry, text, category1, category2)
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if operation == 'category1':
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if operation == 'category1' and tokenamount is not None:
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parsed_data = outputreturn('token_transfer',f"{text}", f"{first_classification['wordlist'][0][:-1]}", f"{tokenamount}")
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elif operation == 'category2':
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elif operation == 'category2' and tokenamount is not None:
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parsed_data = outputreturn('token_incorporation',f"{text}", f"{first_classification['wordlist'][0][:-1]}", f"{tokenamount}")
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else:
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parsed_data = outputreturn('noise')
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else:
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parsed_data = outputreturn('noise')
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print(f"\n\n{text}")
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print(parsed_data)
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