



import argparse
import logging
import pickle
import random
import time

import numpy as np

from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer


logging.basicConfig(
    format="""%(asctime)s - %(levelname)s - %(name)s - %(message)s""", datefmt="""%m/%d/%Y %H:%M:%S""", level=logging.INFO
)
lowercase_						=       logging.getLogger(__name__)



def __lowerCAmelCase	(       ):
   lowercase__   					=			argparse.ArgumentParser(
       description="Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids)."					)
   parser.add_argument("--file_path"  ,					type=lowerCamelCase_  ,					default="data/dump.txt"  ,					help="The path to the data."					)
   parser.add_argument("--tokenizer_type"  ,					type=lowerCamelCase_  ,					default="bert"  ,					choices=["bert", "roberta", "gpt2"]					)
   parser.add_argument("--tokenizer_name"  ,					type=lowerCamelCase_  ,					default="bert-base-uncased"  ,					help="The tokenizer to use."					)
   parser.add_argument("--dump_file"  ,					type=lowerCamelCase_  ,					default="data/dump"  ,					help="The dump file prefix."					)
   lowercase__   					=			parser.parse_args()

   logger.info(f'''Loading Tokenizer ({args.tokenizer_name})'''					)
   if args.tokenizer_type == "bert":
      lowercase__   					=			BertTokenizer.from_pretrained(args.tokenizer_name					)
      lowercase__   					=			tokenizer.special_tokens_map["""cls_token"""]  # `[CLS]`
      lowercase__   					=			tokenizer.special_tokens_map["""sep_token"""]  # `[SEP]`
   elif args.tokenizer_type == "roberta":
      lowercase__   					=			RobertaTokenizer.from_pretrained(args.tokenizer_name					)
      lowercase__   					=			tokenizer.special_tokens_map["""cls_token"""]  # `<s>`
      lowercase__   					=			tokenizer.special_tokens_map["""sep_token"""]  # `</s>`
   elif args.tokenizer_type == "gpt2":
      lowercase__   					=			GPTaTokenizer.from_pretrained(args.tokenizer_name					)
      lowercase__   					=			tokenizer.special_tokens_map["""bos_token"""]  # `<|endoftext|>`
      lowercase__   					=			tokenizer.special_tokens_map["""eos_token"""]  # `<|endoftext|>`

   logger.info(f'''Loading text from {args.file_path}'''					)
   with open(args.file_path  ,					"r"  ,					encoding="utf8"					) as fp:
      lowercase__   					=			fp.readlines()

   logger.info("Start encoding"					)
   logger.info(f'''{len(lowerCamelCase_					)} examples to process.'''					)

   lowercase__   					=			[]
   lowercase__   					=			0
   lowercase__   					=			1_0000
   lowercase__   					=			time.time()
   for text in data:
      lowercase__   					=			f'''{bos} {text.strip()} {sep}'''
      lowercase__   					=			tokenizer.encode(lowerCamelCase_  ,					add_special_tokens=lowerCamelCase_					)
      rslt.append(lowerCamelCase_					)

      iter += 1
      if iter % interval == 0:
         lowercase__   					=			time.time()
         logger.info(f'''{iter} examples processed. - {(end-start):.2f}s/{interval}expl'''					)
         lowercase__   					=			time.time()
   logger.info("Finished binarization"					)
   logger.info(f'''{len(lowerCamelCase_					)} examples processed.'''					)

   lowercase__   					=			f'''{args.dump_file}.{args.tokenizer_name}.pickle'''
   lowercase__   					=			tokenizer.vocab_size
   if vocab_size < (1 << 16):
      lowercase__   					=			[np.uintaa(lowerCamelCase_					) for d in rslt]
   else:
      lowercase__   					=			[np.intaa(lowerCamelCase_					) for d in rslt]
   random.shuffle(rslt_					)
   logger.info(f'''Dump to {dp_file}'''					)
   with open(lowerCamelCase_  ,					"wb"					) as handle:
      pickle.dump(rslt_  ,					lowerCamelCase_  ,					protocol=pickle.HIGHEST_PROTOCOL					)


if __name__ == "__main__":
       main()









from graphs.minimum_spanning_tree_kruskal import kruskal



def __lowerCAmelCase	(       ):
			lowercase__   					=			9
			lowercase__   					=			[
			    [0, 1, 4],
			    [0, 7, 8],
			    [1, 2, 8],
			    [7, 8, 7],
			    [7, 6, 1],
			    [2, 8, 2],
			    [8, 6, 6],
			    [2, 3, 7],
			    [2, 5, 4],
			    [6, 5, 2],
			    [3, 5, 14],
			    [3, 4, 9],
			    [5, 4, 10],
			    [1, 7, 11],
			]

			lowercase__   					=			kruskal(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					)

			lowercase__   					=			[
			    [7, 6, 1],
			    [2, 8, 2],
			    [6, 5, 2],
			    [0, 1, 4],
			    [2, 5, 4],
			    [2, 3, 7],
			    [0, 7, 8],
			    [3, 4, 9],
			]

			assert sorted(SCREAMING_SNAKE_CASE_					) == sorted(SCREAMING_SNAKE_CASE_					)




