






import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							Optional[int]       ):
 snake_case__			:				List[str]       =  FileLock(str(tmpdir / "foo.lock"       )       )
 snake_case__			:				Dict       =  FileLock(str(tmpdir / "foo.lock"       )       )
 snake_case__			:				List[Any]       =  0.01
 with locka.acquire():
  with pytest.raises(snake_case_       ):
   snake_case__			:				Dict       =  time.time()
   locka.acquire(snake_case_       )
   assert time.time() - _start > timeout







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











from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCamelCase :      Any										=				{
    """configuration_instructblip""": [
        """INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """InstructBlipConfig""",
        """InstructBlipQFormerConfig""",
        """InstructBlipVisionConfig""",
    ],
    """processing_instructblip""": ["""InstructBlipProcessor"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase :      List[Any]										=				[
	    """INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """InstructBlipQFormerModel""",
	    """InstructBlipPreTrainedModel""",
	    """InstructBlipForConditionalGeneration""",
	    """InstructBlipVisionModel""",
	]

if TYPE_CHECKING:
	from .configuration_instructblip import (
	    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    InstructBlipConfig,
	    InstructBlipQFormerConfig,
	    InstructBlipVisionConfig,
	)
	from .processing_instructblip import InstructBlipProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_instructblip import (
		    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    InstructBlipForConditionalGeneration,
		    InstructBlipPreTrainedModel,
		    InstructBlipQFormerModel,
		    InstructBlipVisionModel,
		)

else:
	import sys

	__lowerCamelCase :      Any										=				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



