

'''simple docstring'''





from typing import TYPE_CHECKING

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


lowerCAmelCase_ 			=			{
    '''configuration_deberta_v2''': ['''DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DebertaV2Config''', '''DebertaV2OnnxConfig'''],
    '''tokenization_deberta_v2''': ['''DebertaV2Tokenizer'''],
}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_ 			=			['''DebertaV2TokenizerFast''']

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_ 			=			[
					    '''TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''TFDebertaV2ForMaskedLM''',
					    '''TFDebertaV2ForQuestionAnswering''',
					    '''TFDebertaV2ForSequenceClassification''',
					    '''TFDebertaV2ForTokenClassification''',
					    '''TFDebertaV2Model''',
					    '''TFDebertaV2PreTrainedModel''',
					]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_ 			=			[
					    '''DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''DebertaV2ForMaskedLM''',
					    '''DebertaV2ForMultipleChoice''',
					    '''DebertaV2ForQuestionAnswering''',
					    '''DebertaV2ForSequenceClassification''',
					    '''DebertaV2ForTokenClassification''',
					    '''DebertaV2Model''',
					    '''DebertaV2PreTrainedModel''',
					]


if TYPE_CHECKING:
					from .configuration_deberta_va import (
					    DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    DebertaVaConfig,
					    DebertaVaOnnxConfig,
					)
					from .tokenization_deberta_va import DebertaVaTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_deberta_va_fast import DebertaVaTokenizerFast

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_deberta_va import (
										    TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFDebertaVaForMaskedLM,
										    TFDebertaVaForQuestionAnswering,
										    TFDebertaVaForSequenceClassification,
										    TFDebertaVaForTokenClassification,
										    TFDebertaVaModel,
										    TFDebertaVaPreTrainedModel,
										)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_deberta_va import (
										    DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
										    DebertaVaForMaskedLM,
										    DebertaVaForMultipleChoice,
										    DebertaVaForQuestionAnswering,
										    DebertaVaForSequenceClassification,
										    DebertaVaForTokenClassification,
										    DebertaVaModel,
										    DebertaVaPreTrainedModel,
										)

else:
					import sys

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


import warnings

from .generation import GenerationMixin





class 			snake_case_     (	__A      ):







			'''simple docstring'''

			warnings.warn(
			    "Importing `GenerationMixin` from `src/transformers/generation_utils.py` is deprecated and will "
			    "be removed in Transformers v5. Import as `from transformers import GenerationMixin` instead."			, __A			, )