






"""simple docstring"""







import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout

def _a			(		_snake_case							):







      """simple docstring"""






      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			(		_snake_case							):







      """simple docstring"""






      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 typing import TYPE_CHECKING

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


_UpperCamelCase					      =  {"""configuration_glpn""": ["""GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GLPNConfig"""]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _UpperCamelCase					      =  ["""GLPNFeatureExtractor"""]
  _UpperCamelCase					      =  ["""GLPNImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _UpperCamelCase					      =  [
      """GLPN_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """GLPNForDepthEstimation""",
      """GLPNLayer""",
      """GLPNModel""",
      """GLPNPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_glpn import GLPNFeatureExtractor
    from .image_processing_glpn import GLPNImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_glpn import (
        GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
        GLPNForDepthEstimation,
        GLPNLayer,
        GLPNModel,
        GLPNPreTrainedModel,
    )


else:
  import sys

  _UpperCamelCase					      =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



