



'''simple docstring'''


import os
from distutils.util import strtobool






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     for e in env_keys:
          a_       		=int(os.environ.get(lowercase__       ,	-1       )       )
          if val >= 0:
               return val
     return default






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__=False       ):


     '''simple docstring'''







     a_       		=os.environ.get(lowercase__       ,	str(lowercase__       )       )
     return strtobool(lowercase__       ) == 1  # As its name indicates `strtobool` actually returns an int...






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__="no"       ):


     '''simple docstring'''







     a_       		=os.environ.get(lowercase__       ,	str(lowercase__       )       )
     return value







'''simple docstring'''


from typing import TYPE_CHECKING

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


lowercase							       =			{
    '''configuration_rag''': ['''RagConfig'''],
    '''retrieval_rag''': ['''RagRetriever'''],
    '''tokenization_rag''': ['''RagTokenizer'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase							       =			[
      '''RagModel''',
      '''RagPreTrainedModel''',
      '''RagSequenceForGeneration''',
      '''RagTokenForGeneration''',
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase							       =			[
      '''TFRagModel''',
      '''TFRagPreTrainedModel''',
      '''TFRagSequenceForGeneration''',
      '''TFRagTokenForGeneration''',
  ]


if TYPE_CHECKING:
  from .configuration_rag import RagConfig
  from .retrieval_rag import RagRetriever
  from .tokenization_rag import RagTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_rag import (
        TFRagModel,
        TFRagPreTrainedModel,
        TFRagSequenceForGeneration,
        TFRagTokenForGeneration,
    )

else:
  import sys

  lowercase							       =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


