


from typing import TYPE_CHECKING

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


if is_sentencepiece_available():
     from ..ta.tokenization_ta import TaTokenizer
else:
     from ...utils.dummy_sentencepiece_objects import TaTokenizer

snake_case				:    Dict       				=     TaTokenizer

if is_tokenizers_available():
     from ..ta.tokenization_ta_fast import TaTokenizerFast
else:
     from ...utils.dummy_tokenizers_objects import TaTokenizerFast

snake_case				:    Dict       				=     TaTokenizerFast

snake_case				:    str       				=     {'''configuration_mt5''': ['''MT5Config''', '''MT5OnnxConfig''']}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case				:    Dict       				=     [
         '''MT5EncoderModel''',
         '''MT5ForConditionalGeneration''',
         '''MT5ForQuestionAnswering''',
         '''MT5Model''',
         '''MT5PreTrainedModel''',
         '''MT5Stack''',
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case				:    List[str]       				=     ['''TFMT5EncoderModel''', '''TFMT5ForConditionalGeneration''', '''TFMT5Model''']

try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case				:    Dict       				=     ['''FlaxMT5EncoderModel''', '''FlaxMT5ForConditionalGeneration''', '''FlaxMT5Model''']


if TYPE_CHECKING:
     from .configuration_mta import MTaConfig, MTaOnnxConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_mta import (
              MTaEncoderModel,
              MTaForConditionalGeneration,
              MTaForQuestionAnswering,
              MTaModel,
              MTaPreTrainedModel,
              MTaStack,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_mta import TFMTaEncoderModel, TFMTaForConditionalGeneration, TFMTaModel

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_mta import FlaxMTaEncoderModel, FlaxMTaForConditionalGeneration, FlaxMTaModel

else:
     import sys

     snake_case				:    Any       				=     _LazyModule(
         __name__,
         globals()['''__file__'''],
         _import_structure,
         extra_objects={'''MT5Tokenizer''': MTaTokenizer, '''MT5TokenizerFast''': MTaTokenizerFast},
         module_spec=__spec__,
     )










'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a   :			Optional[int]					  =    {
    """configuration_git""": ["""GIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GitConfig""", """GitVisionConfig"""],
    """processing_git""": ["""GitProcessor"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a   :			Tuple					  =    [
							    """GIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """GitForCausalLM""",
							    """GitModel""",
							    """GitPreTrainedModel""",
							    """GitVisionModel""",
							]

if TYPE_CHECKING:
							from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
							from .processing_git import GitProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_git import (
														    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GitForCausalLM,
														    GitModel,
														    GitPreTrainedModel,
														    GitVisionModel,
														)

else:
							import sys

							a   :			Tuple					  =    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

