






'''simple docstring'''
import importlib.metadata
import sys

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


__lowerCAmelCase							=importlib.metadata.version("numpy")
__lowerCAmelCase							=".".join([str(x) for x in sys.version_info[:3]])


class    _snake_case   (				snake_case					):

					"""simple docstring"""





					def  __SCREAMING_SNAKE_CASE (     self     )      ->	Optional[Any]:
										# lt + different version strings
										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(UpperCAmelCase__     )
															except ImportError as e:
																				self.assertIn(F'''{req} is required'''   , str(UpperCAmelCase__     )     )
																				self.assertIn('but found'   , str(UpperCAmelCase__     )     )

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

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




					def  __SCREAMING_SNAKE_CASE (     self     )      ->	List[str]:
										# matching requirement
										require_version('python>=3.6.0'     )

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









'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


__lowerCAmelCase							={"configuration_regnet": ["REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "RegNetConfig"]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCAmelCase							=[
						    "REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "RegNetForImageClassification",
						    "RegNetModel",
						    "RegNetPreTrainedModel",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCAmelCase							=[
						    "TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "TFRegNetForImageClassification",
						    "TFRegNetModel",
						    "TFRegNetPreTrainedModel",
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCAmelCase							=[
						    "FlaxRegNetForImageClassification",
						    "FlaxRegNetModel",
						    "FlaxRegNetPreTrainedModel",
						]


if TYPE_CHECKING:
						from .configuration_regnet import REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP, RegNetConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_regnet import (
												    REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    RegNetForImageClassification,
												    RegNetModel,
												    RegNetPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_regnet import (
												    TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFRegNetForImageClassification,
												    TFRegNetModel,
												    TFRegNetPreTrainedModel,
												)

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_regnet import (
												    FlaxRegNetForImageClassification,
												    FlaxRegNetModel,
												    FlaxRegNetPreTrainedModel,
												)


else:
						import sys

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

