





'''simple docstring'''

import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


lowercase__		:     str			=							'http://www.mocksite.com/file1.txt'
lowercase__		:     Union[str, Any]			=							'"text": ["foo", "foo"]'
lowercase__		:     str			=							'6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'
class 							__lowerCAmelCase	:






       """simple docstring"""
       _snake_case      :	str									=       2_0_0
       _snake_case      :	Any									=       {'Content-Length': '100'}
       _snake_case      :	Dict									=       {}





       def snake_case__		(				self  :						Tuple			,					**lowerCAmelCase__  :						str	)       ->	Tuple:

            '''simple docstring'''




            return [bytes(lowerCAmelCase__			,					'''utf-8'''	)]







def    a__							(							*lowercase   :	List[str],   **lowercase   :	List[Any] )						->						Tuple:





     """simple docstring"""

     return MockResponse()







@pytest.mark.parametrize('''urls_type''',   [str, list, dict] )
def    a__							(							lowercase   :	Dict,   lowercase   :	str,   lowercase   :	Any )						->						str:





     """simple docstring"""

     import requests

     monkeypatch.setattr(lowercase,   '''request''',   lowercase )

     _UpperCamelCase							       =			URL
     if issubclass(lowercase,   lowercase ):
          _UpperCamelCase							       =			url
     elif issubclass(lowercase,   lowercase ):
          _UpperCamelCase							       =			[url]
     elif issubclass(lowercase,   lowercase ):
          _UpperCamelCase							       =			{'''train''': url}
     _UpperCamelCase							       =			'''dummy'''
     _UpperCamelCase							       =			'''downloads'''
     _UpperCamelCase							       =			tmp_path
     _UpperCamelCase							       =			DownloadConfig(
         cache_dir=os.path.join(lowercase,   lowercase ),   use_etag=lowercase,   )
     _UpperCamelCase							       =			DownloadManager(dataset_name=lowercase,   download_config=lowercase )
     _UpperCamelCase							       =			dl_manager.download(lowercase )
     _UpperCamelCase							       =			urls
     for downloaded_paths in [downloaded_paths]:
          if isinstance(lowercase,   lowercase ):
               _UpperCamelCase							       =			[downloaded_paths]
               _UpperCamelCase							       =			[urls]
          elif isinstance(lowercase,   lowercase ):
               assert "train" in downloaded_paths.keys()
               _UpperCamelCase							       =			downloaded_paths.values()
               _UpperCamelCase							       =			urls.values()
          assert downloaded_paths
          for downloaded_path, input_url in zip(lowercase,   lowercase ):
               assert downloaded_path == dl_manager.downloaded_paths[input_url]
               _UpperCamelCase							       =			Path(lowercase )
               _UpperCamelCase							       =			downloaded_path.parts
               assert parts[-1] == HASH
               assert parts[-2] == cache_subdir
               assert downloaded_path.exists()
               _UpperCamelCase							       =			downloaded_path.read_text()
               assert content == CONTENT
               _UpperCamelCase							       =			downloaded_path.with_suffix('''.json''' )
               assert metadata_downloaded_path.exists()
               _UpperCamelCase							       =			json.loads(metadata_downloaded_path.read_text() )
               assert metadata_content == {"url": URL, "etag": None}







@pytest.mark.parametrize('''paths_type''',   [str, list, dict] )
def    a__							(							lowercase   :	int,   lowercase   :	Union[str, Any],   lowercase   :	List[Any] )						->						Any:





     """simple docstring"""

     _UpperCamelCase							       =			str(lowercase )
     if issubclass(lowercase,   lowercase ):
          _UpperCamelCase							       =			filename
     elif issubclass(lowercase,   lowercase ):
          _UpperCamelCase							       =			[filename]
     elif issubclass(lowercase,   lowercase ):
          _UpperCamelCase							       =			{'''train''': filename}
     _UpperCamelCase							       =			'''dummy'''
     _UpperCamelCase							       =			xz_file.parent
     _UpperCamelCase							       =			'''extracted'''
     _UpperCamelCase							       =			DownloadConfig(
         cache_dir=lowercase,   use_etag=lowercase,   )
     _UpperCamelCase							       =			DownloadManager(dataset_name=lowercase,   download_config=lowercase )
     _UpperCamelCase							       =			dl_manager.extract(lowercase )
     _UpperCamelCase							       =			paths
     for extracted_paths in [extracted_paths]:
          if isinstance(lowercase,   lowercase ):
               _UpperCamelCase							       =			[extracted_paths]
               _UpperCamelCase							       =			[paths]
          elif isinstance(lowercase,   lowercase ):
               assert "train" in extracted_paths.keys()
               _UpperCamelCase							       =			extracted_paths.values()
               _UpperCamelCase							       =			paths.values()
          assert extracted_paths
          for extracted_path, input_path in zip(lowercase,   lowercase ):
               assert extracted_path == dl_manager.extracted_paths[input_path]
               _UpperCamelCase							       =			Path(lowercase )
               _UpperCamelCase							       =			extracted_path.parts
               assert parts[-1] == hash_url_to_filename(lowercase,   etag=lowercase )
               assert parts[-2] == extracted_subdir
               assert extracted_path.exists()
               _UpperCamelCase							       =			extracted_path.read_text()
               _UpperCamelCase							       =			text_file.read_text()
               assert extracted_file_content == expected_file_content







def    a__							(							lowercase   :	Tuple,   lowercase   :	Tuple )						->						Tuple:





     """simple docstring"""

     assert path.endswith('''.jsonl''' )
     for num_items, line in enumerate(lowercase,   start=1 ):
          _UpperCamelCase							       =			json.loads(line.decode('''utf-8''' ) )
          assert item.keys() == {"col_1", "col_2", "col_3"}
     assert num_items == 4







@pytest.mark.parametrize('''archive_jsonl''',   ['''tar_jsonl_path''', '''zip_jsonl_path'''] )
def    a__							(							lowercase   :	List[Any],   lowercase   :	Optional[Any] )						->						Optional[int]:





     """simple docstring"""

     _UpperCamelCase							       =			request.getfixturevalue(lowercase )
     _UpperCamelCase							       =			DownloadManager()
     for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(lowercase ),   start=1 ):
          _test_jsonl(lowercase,   lowercase )
     assert num_jsonl == 2







@pytest.mark.parametrize('''archive_nested_jsonl''',   ['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path'''] )
def    a__							(							lowercase   :	List[Any],   lowercase   :	Union[str, Any] )						->						Union[str, Any]:





     """simple docstring"""

     _UpperCamelCase							       =			request.getfixturevalue(lowercase )
     _UpperCamelCase							       =			DownloadManager()
     for num_tar, (path, file) in enumerate(dl_manager.iter_archive(lowercase ),   start=1 ):
          for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(lowercase ),   start=1 ):
               _test_jsonl(lowercase,   lowercase )
     assert num_tar == 1
     assert num_jsonl == 2







def    a__							(							lowercase   :	Tuple )						->						Tuple:





     """simple docstring"""

     _UpperCamelCase							       =			DownloadManager()
     for num_file, file in enumerate(dl_manager.iter_files(lowercase ),   start=1 ):
          assert os.path.basename(lowercase ) == ("test.txt" if num_file == 1 else "train.txt")
     assert num_file == 2










'''simple docstring'''




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_camembert import CamembertTokenizer
else:
  lowercase__       : Optional[int]         =       None


lowercase__       : List[str]         =       logging.get_logger(__name__)

lowercase__       : Optional[Any]         =       {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowercase__       : List[str]         =       {
    '''vocab_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/tokenizer.json''',
    },
}

lowercase__       : Dict         =       {
    '''camembert-base''': 5_12,
}

lowercase__       : str         =       '''▁'''


class 					SCREAMING_SNAKE_CASE       (a__				):
     lowerCAmelCase						     =			VOCAB_FILES_NAMES
     lowerCAmelCase						     =			PRETRAINED_VOCAB_FILES_MAP
     lowerCAmelCase						     =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCAmelCase						     =			['''input_ids''', '''attention_mask''']
     lowerCAmelCase						     =			CamembertTokenizer


     def __init__(		self		,      _UpperCAmelCase=None		,      _UpperCAmelCase=None		,      _UpperCAmelCase="<s>"		,      _UpperCAmelCase="</s>"		,      _UpperCAmelCase="</s>"		,      _UpperCAmelCase="<s>"		,      _UpperCAmelCase="<unk>"		,      _UpperCAmelCase="<pad>"		,      _UpperCAmelCase="<mask>"		,      _UpperCAmelCase=["<s>NOTUSED", "</s>NOTUSED"]		,      **_UpperCAmelCase		,      ):

          '''simple docstring'''






          __A		:					int						=			AddedToken(_UpperCAmelCase		,      lstrip=_UpperCAmelCase		,      rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase		,      _UpperCAmelCase) else mask_token

          super().__init__(
              _UpperCAmelCase		,      tokenizer_file=_UpperCAmelCase		,      bos_token=_UpperCAmelCase		,      eos_token=_UpperCAmelCase		,      sep_token=_UpperCAmelCase		,      cls_token=_UpperCAmelCase		,      unk_token=_UpperCAmelCase		,      pad_token=_UpperCAmelCase		,      mask_token=_UpperCAmelCase		,      additional_special_tokens=_UpperCAmelCase		,      **_UpperCAmelCase		,      )

          __A		:					List[str]						=			vocab_file
          __A		:					Optional[int]						=			False if not self.vocab_file else True


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase		,      _UpperCAmelCase = None):

          '''simple docstring'''






          if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          __A		:					Optional[Any]						=			[self.cls_token_id]
          __A		:					Optional[int]						=			[self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase		,      _UpperCAmelCase = None):

          '''simple docstring'''






          __A		:					Optional[int]						=			[self.sep_token_id]
          __A		:					List[str]						=			[self.cls_token_id]

          if token_ids_a is None:
               return len(cls + token_ids_a + sep) * [0]
          return len(cls + token_ids_a + sep + sep + token_ids_a + sep) * [0]


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase		,      _UpperCAmelCase = None):

          '''simple docstring'''






          if not self.can_save_slow_tokenizer:
               raise ValueError(
                   'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
                   'tokenizer.')

          if not os.path.isdir(_UpperCAmelCase):
               logger.error(F'Vocabulary path ({save_directory}) should be a directory')
               return
          __A		:					List[Any]						=			os.path.join(
              _UpperCAmelCase		,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

          if os.path.abspath(self.vocab_file) != os.path.abspath(_UpperCAmelCase):
               copyfile(self.vocab_file		,      _UpperCAmelCase)

          return (out_vocab_file,)