'''simple docstring'''




from typing import TYPE_CHECKING

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


__lowercase          =  {
    '''configuration_ctrl''': ['''CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''CTRLConfig'''],
    '''tokenization_ctrl''': ['''CTRLTokenizer'''],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowercase          =  [
						    '''CTRL_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''CTRLForSequenceClassification''',
						    '''CTRLLMHeadModel''',
						    '''CTRLModel''',
						    '''CTRLPreTrainedModel''',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowercase          =  [
						    '''TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''TFCTRLForSequenceClassification''',
						    '''TFCTRLLMHeadModel''',
						    '''TFCTRLModel''',
						    '''TFCTRLPreTrainedModel''',
						]


if TYPE_CHECKING:
						from .configuration_ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig
						from .tokenization_ctrl import CTRLTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_ctrl import (
												    CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
												    CTRLForSequenceClassification,
												    CTRLLMHeadModel,
												    CTRLModel,
												    CTRLPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_ctrl import (
												    TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFCTRLForSequenceClassification,
												    TFCTRLLMHeadModel,
												    TFCTRLModel,
												    TFCTRLPreTrainedModel,
												)

else:
						import sys

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





'''simple docstring'''




from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


__lowercase          =  logging.get_logger(__name__)

__lowercase          =  '''T5Config'''






class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			UpperCAmelCase_			:     List[str]      =       '''mt5'''
			UpperCAmelCase_			:     Tuple      =       MTaConfig







class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			UpperCAmelCase_			:     List[Any]      =       '''mt5'''
			UpperCAmelCase_			:     int      =       MTaConfig







class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			UpperCAmelCase_			:     Tuple      =       '''mt5'''
			UpperCAmelCase_			:     Union[str, Any]      =       MTaConfig




