from typing import TYPE_CHECKING

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


_lowerCamelCase   :				str     			=						{
    '''configuration_ernie''': ['''ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ErnieConfig''', '''ErnieOnnxConfig'''],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_lowerCamelCase   :				Optional[int]     			=						[
					    '''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   :				Optional[Any]     			=						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





def 		__lowerCamelCase							(UpperCAmelCase__       :							str ,	UpperCAmelCase__       :							str = " "					):
					SCREAMING_SNAKE_CASE           =    []

					SCREAMING_SNAKE_CASE           =    0
					for index, char in enumerate(UpperCAmelCase__					):
										if char == separator:
															split_words.append(string[last_index:index]					)
															SCREAMING_SNAKE_CASE           =    index + 1
										elif index + 1 == len(UpperCAmelCase__					):
															split_words.append(string[last_index : index + 1]					)
					return split_words


if __name__ == "__main__":
							from doctest import testmod

							testmod()




