




"""simple docstring"""


import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard


def 					UpperCAmelCase__       (snake_case__							:					int    ):
  """simple docstring"""

  assert "mock" in _fsspec_registry
  assert "bz2" in _fsspec_registry


def 					UpperCAmelCase__       ():
  """simple docstring"""

  assert "mock" not in _fsspec_registry
  assert "bz2" in _fsspec_registry


def 					UpperCAmelCase__       ():
  """simple docstring"""

  _snake_case							:		List[Any]								=  """mock-s3-bucket"""
  _snake_case							:		Any								=  F"s3://{mock_bucket}"
  _snake_case							:		List[str]								=  extract_path_from_uri(snake_case__    )
  assert dataset_path.startswith("""s3://"""    ) is False

  _snake_case							:		int								=  """./local/path"""
  _snake_case							:		List[Any]								=  extract_path_from_uri(snake_case__    )
  assert dataset_path == new_dataset_path


def 					UpperCAmelCase__       (snake_case__							:					int    ):
  """simple docstring"""

  _snake_case							:		Optional[int]								=  is_remote_filesystem(snake_case__    )
  assert is_remote is True

  _snake_case							:		Any								=  fsspec.filesystem("""file"""    )

  _snake_case							:		Tuple								=  is_remote_filesystem(snake_case__    )
  assert is_remote is False


@pytest.mark.parametrize("""compression_fs_class"""		,   snake_case__    )
def 					UpperCAmelCase__       (snake_case__							:					List[Any]		,   snake_case__							:					Optional[Any]		,   snake_case__							:					Tuple		,   snake_case__							:					Tuple		,   snake_case__							:					int		,   snake_case__							:					List[Any]		,   snake_case__							:					Dict    ):
  """simple docstring"""

  _snake_case							:		Dict								=  {"""gzip""": gz_file, """xz""": xz_file, """zstd""": zstd_file, """bz2""": bza_file, """lz4""": lza_file}
  _snake_case							:		int								=  input_paths[compression_fs_class.protocol]
  if input_path is None:
    _snake_case							:		List[Any]								=  F"for '{compression_fs_class.protocol}' compression protocol, "
    if compression_fs_class.protocol == "lz4":
      reason += require_lza.kwargs["reason"]
    elif compression_fs_class.protocol == "zstd":
      reason += require_zstandard.kwargs["reason"]
    pytest.skip(snake_case__    )
  _snake_case							:		Any								=  fsspec.filesystem(compression_fs_class.protocol		,   fo=snake_case__    )
  assert isinstance(snake_case__		,   snake_case__    )
  _snake_case							:		Optional[int]								=  os.path.basename(snake_case__    )
  _snake_case							:		Dict								=  expected_filename[: expected_filename.rindex("""."""    )]
  assert fs.glob("""*"""    ) == [expected_filename]
  with fs.open(snake_case__		,   """r"""		,   encoding="""utf-8"""    ) as f, open(snake_case__		,   encoding="""utf-8"""    ) as expected_file:
    assert f.read() == expected_file.read()


@pytest.mark.parametrize("""protocol"""		,   ["""zip""", """gzip"""]    )
def 					UpperCAmelCase__       (snake_case__							:					Any		,   snake_case__							:					Any		,   snake_case__							:					Union[str, Any]    ):
  """simple docstring"""

  _snake_case							:		Any								=  {"""zip""": zip_jsonl_path, """gzip""": jsonl_gz_path}
  _snake_case							:		Union[str, Any]								=  compressed_file_paths[protocol]
  _snake_case							:		Union[str, Any]								=  """dataset.jsonl"""
  _snake_case							:		Union[str, Any]								=  F"{protocol}://{member_file_path}::{compressed_file_path}"
  _snake_case		,					*_snake_case							:		str								=  fsspec.get_fs_token_paths(snake_case__    )
  assert fs.isfile(snake_case__    )
  assert not fs.isfile("""non_existing_""" + member_file_path    )


@pytest.mark.integration
def 					UpperCAmelCase__       (snake_case__							:					Dict		,   snake_case__							:					str		,   snake_case__							:					Any		,   snake_case__							:					Any    ):
  """simple docstring"""

  _snake_case							:		Tuple								=  hf_api.dataset_info(snake_case__		,   token=snake_case__    )
  _snake_case							:		Optional[Any]								=  HfFileSystem(repo_info=snake_case__		,   token=snake_case__    )
  assert sorted(hffs.glob("""*"""    )    ) == [".gitattributes", "data"]
  assert hffs.isdir("""data"""    )
  assert hffs.isfile(""".gitattributes"""    ) and hffs.isfile("""data/text_data.txt"""    )
  with open(snake_case__    ) as f:
    assert hffs.open("""data/text_data.txt"""		,   """r"""    ).read() == f.read()






def 					UpperCAmelCase__       ():
  """simple docstring"""

  _snake_case							:		Optional[int]								=  """bz2"""

  # Import module
  import datasets.filesystems

  # Overwrite protocol and reload
  register_implementation(snake_case__		,   snake_case__		,   clobber=snake_case__    )
  with pytest.warns(snake_case__    ) as warning_info:
    importlib.reload(datasets.filesystems    )

  assert len(snake_case__    ) == 1
  assert (
      str(warning_info[0].message    )
      == F"A filesystem protocol was already set for {protocol} and will be overwritten."
  )








"""simple docstring"""


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


A_						=				logging.get_logger(__name__)

A_						=				{'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

A_						=				{
    '''vocab_file''': {
        '''yjernite/retribert-base-uncased''': (
            '''https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''yjernite/retribert-base-uncased''': (
            '''https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json'''
        ),
    },
}

A_						=				{
    '''yjernite/retribert-base-uncased''': 5_12,
}


A_						=				{
    '''yjernite/retribert-base-uncased''': {'''do_lower_case''': True},
}






class 					lowercase(     __a ):







 '''simple docstring'''





 lowercase__ 					=					VOCAB_FILES_NAMES
 lowercase__ 					=					PRETRAINED_VOCAB_FILES_MAP
 lowercase__ 					=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase__ 					=					PRETRAINED_INIT_CONFIGURATION
 lowercase__ 					=					RetriBertTokenizer
 lowercase__ 					=					["input_ids", "attention_mask"]


 def __init__(				self:		int,      a_:		int=None,      a_:		Dict=None,      a_:		Any=True,      a_:		int="[UNK]",      a_:		Any="[SEP]",      a_:		List[Any]="[PAD]",      a_:		List[Any]="[CLS]",      a_:		str="[MASK]",      a_:		Dict=True,      a_:		Optional[int]=None,      **a_:		Tuple,      ):




   '''simple docstring'''



   super().__init__(
       a_,      tokenizer_file=a_,      do_lower_case=a_,      unk_token=a_,      sep_token=a_,      pad_token=a_,      cls_token=a_,      mask_token=a_,      tokenize_chinese_chars=a_,      strip_accents=a_,      **a_,      )

   _snake_case							:		List[Any]								=  json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
   if (
       normalizer_state.get("""lowercase""",      a_		) != do_lower_case
       or normalizer_state.get("""strip_accents""",      a_		) != strip_accents
       or normalizer_state.get("""handle_chinese_chars""",      a_		) != tokenize_chinese_chars
   ):
     _snake_case							:		Dict								=  getattr(a_,      normalizer_state.pop("""type"""		)		)
     _snake_case							:		List[Any]								=  do_lower_case
     _snake_case							:		List[str]								=  strip_accents
     _snake_case							:		Tuple								=  tokenize_chinese_chars
     _snake_case							:		Tuple								=  normalizer_class(**a_		)

   _snake_case							:		List[str]								=  do_lower_case


 def  UpperCamelCase_   (				self:		Any,      a_:		str,      a_:		Optional[int]=None		):




   '''simple docstring'''



   _snake_case							:		Optional[Any]								=  [self.cls_token_id] + token_ids_a + [self.sep_token_id]

   if token_ids_a:
     output += token_ids_a + [self.sep_token_id]

   return output


 def  UpperCamelCase_   (				self:		List[str],      a_:		List[int],      a_:		Optional[List[int]] = None		):




   '''simple docstring'''



   _snake_case							:		Union[str, Any]								=  [self.sep_token_id]
   _snake_case							:		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		) * [0] + len(token_ids_a + sep		) * [1]


 def  UpperCamelCase_   (				self:		Dict,      a_:		str,      a_:		Optional[str] = None		):




   '''simple docstring'''



   _snake_case							:		Union[str, Any]								=  self._tokenizer.model.save(a_,      name=a_		)
   return tuple(a_		)


