

import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout

def       __snake_case						( __UpperCamelCase	: Optional[int]    ):



      """simple docstring"""

      A_						  =				FileLock(str(tmpdir / "foo.lock"    )    )
      A_						  =				FileLock(str(tmpdir / "foo.lock"    )    )
      A_						  =				0.01
      with locka.acquire():
            with pytest.raises(__UpperCamelCase    ):
                  A_						  =				time.time()
                  locka.acquire(__UpperCamelCase    )
                  assert time.time() - _start > timeout



def       __snake_case						( __UpperCamelCase	: Tuple    ):



      """simple docstring"""

      A_						  =				"a" * 1000 + ".lock"
      A_						  =				FileLock(str(tmpdir / filename    )    )
      assert locka._lock_file.endswith(".lock"    )
      assert not locka._lock_file.endswith(__UpperCamelCase    )
      assert len(os.path.basename(locka._lock_file    )    ) <= 255
      A_						  =				FileLock(tmpdir / filename    )
      with locka.acquire():
            with pytest.raises(__UpperCamelCase    ):
                  locka.acquire(0    )



from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader




class A    (  UpperCamelCase_	):






      def __init__(   self		:	Union[str, Any]     ,  lowercase_		:	NestedDataStructureLike[PathLike]     ,  lowercase_		:	Optional[NamedSplit] = None     ,  lowercase_		:	Optional[Features] = None     ,  lowercase_		:	str = None     ,  lowercase_		:	bool = False     ,  lowercase_		:	bool = False     ,  lowercase_		:	Optional[int] = None     ,  **lowercase_		:	Optional[int]     ,  )   ->		Union[str, Any]:
             """simple docstring"""




             super().__init__(
                 lowercase_     ,  split=lowercase_     ,  features=lowercase_     ,  cache_dir=lowercase_     ,  keep_in_memory=lowercase_     ,  streaming=lowercase_     ,  num_proc=lowercase_     ,  **lowercase_     ,  )
             _lowerCamelCase			:						Optional[int]            =path_or_paths if isinstance(lowercase_     ,  lowercase_					) else {self.split: path_or_paths}
             _lowerCamelCase			:						int            =Text(
                 cache_dir=lowercase_     ,  data_files=lowercase_     ,  features=lowercase_     ,  **lowercase_     ,  )






      def 			lowerCamelCase			(   self		:	Optional[Any]					)   ->		Dict:
             """simple docstring"""




             if self.streaming:
                    _lowerCamelCase			:						Optional[Any]            =self.builder.as_streaming_dataset(split=self.split					)
             # Build regular (map-style) dataset
             else:
                    _lowerCamelCase			:						List[str]            =None
                    _lowerCamelCase			:						int            =None
                    _lowerCamelCase			:						Optional[Any]            =None
                    _lowerCamelCase			:						Any            =None

                    self.builder.download_and_prepare(
                        download_config=lowercase_     ,  download_mode=lowercase_     ,  verification_mode=lowercase_     ,  base_path=lowercase_     ,  num_proc=self.num_proc     ,  )
                    _lowerCamelCase			:						Tuple            =self.builder.as_dataset(
                        split=self.split     ,  verification_mode=lowercase_     ,  in_memory=self.keep_in_memory					)
             return dataset


