
'''simple docstring'''
import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout







def 		A_(     A						:		Tuple):
							UpperCamelCase   			=     FileLock(str(tmpdir / 'foo.lock'))
							UpperCamelCase   			=     FileLock(str(tmpdir / 'foo.lock'))
							UpperCamelCase   			=     0.01
							with locka.acquire():
														with pytest.raises(A):
																					UpperCamelCase   			=     time.time()
																					locka.acquire(A)
																					assert time.time() - _start > timeout







def 		A_(     A						:		List[Any]):
							UpperCamelCase   			=     'a' * 1000 + '.lock'
							UpperCamelCase   			=     FileLock(str(tmpdir / filename))
							assert locka._lock_file.endswith('.lock')
							assert not locka._lock_file.endswith(A)
							assert len(os.path.basename(locka._lock_file)) <= 255
							UpperCamelCase   			=     FileLock(tmpdir / filename)
							with locka.acquire():
														with pytest.raises(A):
																					locka.acquire(0)






'''simple docstring'''
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate


@dataclass(frozen=snake_case_)
class 			SCREAMING_SNAKE_CASE__      (     snake_case_):
				lowerCAmelCase_     			=							field(default="""language-modeling"""							,       metadata={"""include_in_asdict_even_if_is_default""": True})

				lowerCAmelCase_     			=							Features({"""text""": Value("""string""")})
				lowerCAmelCase_     			=							Features({})
				lowerCAmelCase_     			=							"text"







				@property
				def 						UpperCAmelCase_    (       self     )->		Dict[str, str]:







											'''simple docstring'''






											return {self.text_column: "text"}




