Update convert2list.py
Browse files- convert2list.py +89 -108
convert2list.py
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# text = "जीरोएकदोतीनचार"
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# if __name__=="__main__":
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# converted=convert_to_list(text, text_to_list())
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# print(converted)
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# In[ ]:
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get_ipython().system('git clone https://huggingface.co/StephennFernandes/wav2vec2-XLS-R-300m-konkani')
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# In[ ]:
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# import nbimporter
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import nbimporter
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from Text2List import text_to_list
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def convert_to_list(text, text_list):
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matched_words = []
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unmatched_text = '' # To accumulate unmatched characters
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# Sort text_list by length in descending order to prioritize longest matches first
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text_list_sorted = sorted(text_list, key=len, reverse=True)
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while text:
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matched = False
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for word in text_list_sorted:
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if text.startswith(word):
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# Add any accumulated unmatched text before appending the matched word
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if unmatched_text:
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matched_words.append(unmatched_text)
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unmatched_text = '' # Reset unmatched text accumulator
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matched_words.append(word)
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text = text[len(word):] # Remove the matched part from text
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matched = True
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break
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if not matched:
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# Accumulate unmatched characters
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unmatched_text += text[0]
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text = text[1:]
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# If there's any remaining unmatched text, add it to the result
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if unmatched_text:
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matched_words.append(unmatched_text)
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# Join matched words and unmatched text with a space
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result = ' '.join(matched_words)
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return result
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# text = "जीरोएकदोतीनचारपांचछहसातआठनौदसजीरोएकदोतीनचारपांच"
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if __name__=="__main__":
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converted=convert_to_list(text, text_to_list())
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print(converted)
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# In[ ]:
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# # import nbimporter
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# import nbimporter
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# from Text2List import text_to_list
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# def convert_to_list(text, text_list):
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# matched_words = []
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# unmatched_text = '' # To accumulate unmatched characters
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# # Sort text_list by length in descending order to prioritize longest matches first
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# text_list_sorted = sorted(text_list, key=len, reverse=True)
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# while text:
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# matched = False
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# for word in text_list_sorted:
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# if word in text:
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# # Add any accumulated unmatched text before appending the matched word
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# if unmatched_text:
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# matched_words.append(unmatched_text)
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# unmatched_text = '' # Reset unmatched text accumulator
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# matched_words.append(word)
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# text = text[len(word):] # Remove the matched part from text
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# matched = True
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# break
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# if not matched:
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# # Accumulate unmatched characters
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# unmatched_text += text[0]
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# text = text[1:]
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# # If there's any remaining unmatched text, add it to the result
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# if unmatched_text:
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# matched_words.append(unmatched_text)
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# # Join matched words and unmatched text with a space
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# result = ' '.join(matched_words)
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# return result
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# text = "जीरोएकदोतीनचार"
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# if __name__=="__main__":
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# converted=convert_to_list(text, text_to_list())
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# print(converted)
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