


from typing import TYPE_CHECKING

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


lowerCAmelCase__						:Optional[int]         =							{
    '''configuration_layoutlm''': ['''LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LayoutLMConfig''', '''LayoutLMOnnxConfig'''],
    '''tokenization_layoutlm''': ['''LayoutLMTokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase__						:Union[str, Any]         =							['''LayoutLMTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase__						:List[str]         =							[
		    '''LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''LayoutLMForMaskedLM''',
		    '''LayoutLMForSequenceClassification''',
		    '''LayoutLMForTokenClassification''',
		    '''LayoutLMForQuestionAnswering''',
		    '''LayoutLMModel''',
		    '''LayoutLMPreTrainedModel''',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase__						:List[str]         =							[
		    '''TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''TFLayoutLMForMaskedLM''',
		    '''TFLayoutLMForSequenceClassification''',
		    '''TFLayoutLMForTokenClassification''',
		    '''TFLayoutLMForQuestionAnswering''',
		    '''TFLayoutLMMainLayer''',
		    '''TFLayoutLMModel''',
		    '''TFLayoutLMPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMOnnxConfig
		from .tokenization_layoutlm import LayoutLMTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_layoutlm_fast import LayoutLMTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_layoutlm import (
				    LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
				    LayoutLMForMaskedLM,
				    LayoutLMForQuestionAnswering,
				    LayoutLMForSequenceClassification,
				    LayoutLMForTokenClassification,
				    LayoutLMModel,
				    LayoutLMPreTrainedModel,
				)
		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_layoutlm import (
				    TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFLayoutLMForMaskedLM,
				    TFLayoutLMForQuestionAnswering,
				    TFLayoutLMForSequenceClassification,
				    TFLayoutLMForTokenClassification,
				    TFLayoutLMMainLayer,
				    TFLayoutLMModel,
				    TFLayoutLMPreTrainedModel,
				)

else:
		import sys

		lowerCAmelCase__						:Any         =							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




import warnings

from .generation import GenerationMixin

class 	__a   (       UpperCAmelCase    ):
		# warning at import time
		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.'					,   UpperCAmelCase					,   )
