





'''simple docstring'''



import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout




def 				_lowerCAmelCase  (			lowerCamelCase_     :					Optional[Any]			):
			__lowercase			  =							FileLock(str(tmpdir / '''foo.lock'''			)			)
			__lowercase			  =							FileLock(str(tmpdir / '''foo.lock'''			)			)
			__lowercase			  =							0.01
			with locka.acquire():
						with pytest.raises(lowerCamelCase_			):
									__lowercase			  =							time.time()
									locka.acquire(lowerCamelCase_			)
									assert time.time() - _start > timeout




def 				_lowerCAmelCase  (			lowerCamelCase_     :					Tuple			):
			__lowercase			  =							'''a''' * 1_0_0_0 + '''.lock'''
			__lowercase			  =							FileLock(str(tmpdir / filename			)			)
			assert locka._lock_file.endswith('''.lock'''			)
			assert not locka._lock_file.endswith(lowerCamelCase_			)
			assert len(os.path.basename(locka._lock_file			)			) <= 2_5_5
			__lowercase			  =							FileLock(tmpdir / filename			)
			with locka.acquire():
						with pytest.raises(lowerCamelCase_			):
									locka.acquire(0			)












'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_SCREAMING_SNAKE_CASE   =      {
    '''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
    '''tokenization_mvp''': ['''MvpTokenizer'''],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_SCREAMING_SNAKE_CASE   =      ['''MvpTokenizerFast''']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_SCREAMING_SNAKE_CASE   =      [
	    '''MVP_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''MvpForCausalLM''',
	    '''MvpForConditionalGeneration''',
	    '''MvpForQuestionAnswering''',
	    '''MvpForSequenceClassification''',
	    '''MvpModel''',
	    '''MvpPreTrainedModel''',
	]

if TYPE_CHECKING:
	from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
	from .tokenization_mvp import MvpTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_mvp_fast import MvpTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mvp import (
		    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MvpForCausalLM,
		    MvpForConditionalGeneration,
		    MvpForQuestionAnswering,
		    MvpForSequenceClassification,
		    MvpModel,
		    MvpPreTrainedModel,
		)

else:
	import sys

	_SCREAMING_SNAKE_CASE   =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





