
"""simple docstring"""
import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


lowercase		:    Optional[Any]			=       importlib.metadata.version('numpy')
lowercase		:    Optional[Any]			=       '.'.join([str(x) for x in sys.version_info[:3]])




class  _snake_case	(    a_							):






							def 				__lowercase	(       self    :      Union[str, Any]     ):






												"""simple docstring"""



												require_version_core("""numpy<1000.4.5"""     )
												require_version_core("""numpy<1000.4"""     )
												require_version_core("""numpy<1000"""     )

												# le
												require_version_core("""numpy<=1000.4.5"""     )
												require_version_core(f"""numpy<={numpy_ver}"""     )

												# eq
												require_version_core(f"""numpy=={numpy_ver}"""     )

												# ne
												require_version_core("""numpy!=1000.4.5"""     )

												# ge
												require_version_core("""numpy>=1.0"""     )
												require_version_core("""numpy>=1.0.0"""     )
												require_version_core(f"""numpy>={numpy_ver}"""     )

												# gt
												require_version_core("""numpy>1.0.0"""     )

												# mix
												require_version_core("""numpy>1.0.0,<1000"""     )

												# requirement w/o version
												require_version_core("""numpy"""     )

												# unmet requirements due to version conflict
												for req in ["numpy==1.0.0", "numpy>=1000.0.0", f"""numpy<{numpy_ver}"""]:
																	try:
																						require_version_core(_a     )
																	except ImportError as e:
																						self.assertIn(f"""{req} is required"""    ,			str(_a     )     )
																						self.assertIn("""but found"""    ,			str(_a     )     )

        # unmet requirements due to missing module
												for req in ["numpipypie>1", "numpipypie2"]:
																	try:
																						require_version_core(_a     )
																	except importlib.metadata.PackageNotFoundError as e:
																						self.assertIn(f"""The \'{req}\' distribution was not found and is required by this application"""    ,			str(_a     )     )
																						self.assertIn("""Try: pip install transformers -U"""    ,			str(_a     )     )

        # bogus requirements formats:
        # 1. whole thing
												for req in ["numpy??1.0.0", "numpy1.0.0"]:
																	try:
																						require_version_core(_a     )
																	except ValueError as e:
																						self.assertIn("""requirement needs to be in the pip package format"""    ,			str(_a     )     )
        # 2. only operators
												for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
																	try:
																						require_version_core(_a     )
																	except ValueError as e:
																						self.assertIn("""need one of """    ,			str(_a     )     )






							def 				__lowercase	(       self    :      str     ):






												"""simple docstring"""



												require_version("""python>=3.6.0"""     )

												# not matching requirements
												for req in ["python>9.9.9", "python<3.0.0"]:
																	try:
																						require_version_core(_a     )
																	except ImportError as e:
																						self.assertIn(f"""{req} is required"""    ,			str(_a     )     )
																						self.assertIn(f"""but found python=={python_ver}"""    ,			str(_a     )     )




from typing import TYPE_CHECKING

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


_snake_case				=			{
    "configuration_oneformer": ["ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "OneFormerConfig"],
    "processing_oneformer": ["OneFormerProcessor"],
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _snake_case				=			["OneFormerImageProcessor"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _snake_case				=			[
          "ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
          "OneFormerForUniversalSegmentation",
          "OneFormerModel",
          "OneFormerPreTrainedModel",
      ]

if TYPE_CHECKING:
      from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
      from .processing_oneformer import OneFormerProcessor

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .image_processing_oneformer import OneFormerImageProcessor
      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_oneformer import (
                ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                OneFormerForUniversalSegmentation,
                OneFormerModel,
                OneFormerPreTrainedModel,
            )


else:
      import sys

      _snake_case				=			_LazyModule(__name__, globals()["__file__"], _import_structure)



