






"""simple docstring"""


from arguments import TokenizerTrainingArguments
from datasets import load_dataset
from tqdm import tqdm

from transformers import AutoTokenizer, HfArgumentParser
from transformers.models.gpta.tokenization_gpta import bytes_to_unicode




def      snake_case    (A_ :Tuple=1_0 ):







  '''simple docstring'''

  for _ in tqdm(range(0      ,     args.n_examples      ,     A_ ) ):
    yield [next(A_ )[args.text_column] for _ in range(A_ )]


# Configuration
_UpperCamelCase							:       Optional[Any]       					=		HfArgumentParser(TokenizerTrainingArguments)
_UpperCamelCase							:       Union[str, Any]       					=		parser.parse_args()

# Base tokenizer
_UpperCamelCase							:       Optional[int]       					=		AutoTokenizer.from_pretrained(args.base_tokenizer)
_UpperCamelCase							:       Optional[int]       					=		list(bytes_to_unicode().values())

# Load dataset
_UpperCamelCase							:       Union[str, Any]       					=		load_dataset(args.dataset_name, split='train', streaming=True)
_UpperCamelCase							:       Union[str, Any]       					=		iter(dataset)


# Training and saving
_UpperCamelCase							:       Any       					=		tokenizer.train_new_from_iterator(
    batch_iterator(), vocab_size=args.vocab_size, initial_alphabet=base_vocab
)






new_tokenizer.save_pretrained(args.tokenizer_name, push_to_hub=args.push_to_hub)












"""simple docstring"""


import json

import requests

from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info




def      snake_case    (A_ :Union[str, Any] ):







  '''simple docstring'''

  class 		snake_case    :





      def __init__(				self      :   Tuple							,						A      :   Dict     ):


        '''simple docstring'''




        assert isinstance(A							,						(bytes, str)     )
        a	:     Union[str, Any]							=  content





      def 							lowerCamelCase__ (				self      :   str     ):


        '''simple docstring'''




        return json.loads(self.content     )

  def mock_response(*A_ :Union[str, Any]      ,     **A_ :Tuple ):
    assert args[0] == AUTHENTICATED_USER_ENDPOINT
    assert "Authorization" in kwargs["headers"]
    assert kwargs["headers"]["Authorization"].startswith('token ' )
    assert "Accept" in kwargs["headers"]
    return FakeResponse(B'{"login":"test","id":1}' )

  monkeypatch.setattr(A_      ,     'get'      ,     A_ )
  a	:     List[str]							=  fetch_github_info('token' )
  assert result["login"] == "test"
  assert result["id"] == 1




