






'''simple docstring'''


def 	__magic_name__( _A						,      _A					):
						'''simple docstring'''





						UpperCamelCase__         = len(__UpperCAmelCase					)
						UpperCamelCase__         = len(__UpperCAmelCase					)
						UpperCamelCase__         = (
						    first_str_length if first_str_length > second_str_length else second_str_length
						)
						UpperCamelCase__         = []
						for char_count in range(__UpperCAmelCase					):
												if char_count < first_str_length:
																		output_list.append(first_str[char_count]					)
												if char_count < second_str_length:
																		output_list.append(second_str[char_count]					)
						return "".join(__UpperCAmelCase					)


if __name__ == "__main__":
					print(alternative_string_arrange('''AB''', '''XYZ'''), end=''' ''')








'''simple docstring'''


from typing import TYPE_CHECKING

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


lowerCamelCase_				: Tuple    	=							{
    '''configuration_layoutlmv3''': [
        '''LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''LayoutLMv3Config''',
        '''LayoutLMv3OnnxConfig''',
    ],
    '''processing_layoutlmv3''': ['''LayoutLMv3Processor'''],
    '''tokenization_layoutlmv3''': ['''LayoutLMv3Tokenizer'''],
}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase_				: Tuple    	=							['''LayoutLMv3TokenizerFast''']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase_				: Union[str, Any]    	=							[
					    '''LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''LayoutLMv3ForQuestionAnswering''',
					    '''LayoutLMv3ForSequenceClassification''',
					    '''LayoutLMv3ForTokenClassification''',
					    '''LayoutLMv3Model''',
					    '''LayoutLMv3PreTrainedModel''',
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase_				: Optional[Any]    	=							[
					    '''TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''TFLayoutLMv3ForQuestionAnswering''',
					    '''TFLayoutLMv3ForSequenceClassification''',
					    '''TFLayoutLMv3ForTokenClassification''',
					    '''TFLayoutLMv3Model''',
					    '''TFLayoutLMv3PreTrainedModel''',
					]

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase_				: Optional[Any]    	=							['''LayoutLMv3FeatureExtractor''']
					lowerCamelCase_				: Dict    	=							['''LayoutLMv3ImageProcessor''']


if TYPE_CHECKING:
					from .configuration_layoutlmva import (
					    LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    LayoutLMvaConfig,
					    LayoutLMvaOnnxConfig,
					)
					from .processing_layoutlmva import LayoutLMvaProcessor
					from .tokenization_layoutlmva import LayoutLMvaTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_layoutlmva import (
										    LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
										    LayoutLMvaForQuestionAnswering,
										    LayoutLMvaForSequenceClassification,
										    LayoutLMvaForTokenClassification,
										    LayoutLMvaModel,
										    LayoutLMvaPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_layoutlmva import (
										    TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFLayoutLMvaForQuestionAnswering,
										    TFLayoutLMvaForSequenceClassification,
										    TFLayoutLMvaForTokenClassification,
										    TFLayoutLMvaModel,
										    TFLayoutLMvaPreTrainedModel,
										)

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor
										from .image_processing_layoutlmva import LayoutLMvaImageProcessor

else:
					import sys

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