
from typing import TYPE_CHECKING

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


lowerCamelCase_  :	List[str] 				=					{
    """configuration_ernie""": ["""ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ErnieConfig""", """ErnieOnnxConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCamelCase_  :	Dict 				=					[
							    """ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """ErnieForCausalLM""",
							    """ErnieForMaskedLM""",
							    """ErnieForMultipleChoice""",
							    """ErnieForNextSentencePrediction""",
							    """ErnieForPreTraining""",
							    """ErnieForQuestionAnswering""",
							    """ErnieForSequenceClassification""",
							    """ErnieForTokenClassification""",
							    """ErnieModel""",
							    """ErniePreTrainedModel""",
							]

if TYPE_CHECKING:
							from .configuration_ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig, ErnieOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_ernie import (
														    ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ErnieForCausalLM,
														    ErnieForMaskedLM,
														    ErnieForMultipleChoice,
														    ErnieForNextSentencePrediction,
														    ErnieForPreTraining,
														    ErnieForQuestionAnswering,
														    ErnieForSequenceClassification,
														    ErnieForTokenClassification,
														    ErnieModel,
														    ErniePreTrainedModel,
														)

else:
							import sys

							lowerCamelCase_  :	Union[str, Any] 				=					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)








def     A__   (  lowerCamelCase  )					->		list:
				return [
				    txt[:a] + txt[a].upper() + txt[a + 1 :]
				    for a in range(len(lowerCamelCase  )  )
				    if txt[a].isalpha()
				]


if __name__ == "__main__":
							__import__("""doctest""").testmod()






