




import importlib.metadata
import sys

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


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




class 		UpperCamelCase__     (lowerCAmelCase__					):

    '''simple docstring'''



    def    _lowercase					(   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    _lowercase					(   self					)					->				int:
           # 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__					)					)












from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__	:				Optional[int]  =       {
    'configuration_gptsan_japanese': ['GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTSanJapaneseConfig'],
    'tokenization_gptsan_japanese': ['GPTSanJapaneseTokenizer'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       SCREAMING_SNAKE_CASE__	:				Optional[int]  =       [
           'GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
           'GPTSanJapaneseForConditionalGeneration',
           'GPTSanJapaneseModel',
           'GPTSanJapanesePreTrainedModel',
       ]
       SCREAMING_SNAKE_CASE__	:				List[str]  =       [
           'GPTSanJapaneseTokenizer',
       ]


if TYPE_CHECKING:
       from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
       from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_gptsan_japanese import (
                  GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GPTSanJapaneseForConditionalGeneration,
                  GPTSanJapaneseModel,
                  GPTSanJapanesePreTrainedModel,
              )
              from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
       import sys

       SCREAMING_SNAKE_CASE__	:				Optional[Any]  =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






