






'''simple docstring'''







from typing import TYPE_CHECKING

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


_A	:			int         ={
    '''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
    '''tokenization_mvp''': ['''MvpTokenizer'''],
}

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

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A	:			List[str]         =[
			    '''MVP_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''MvpForCausalLM''',
			    '''MvpForConditionalGeneration''',
			    '''MvpForQuestionAnswering''',
			    '''MvpForSequenceClassification''',
			    '''MvpModel''',
			    '''MvpPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
			from .tokenization_mvp import MvpTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_mvp_fast import MvpTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mvp import (
						    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
						    MvpForCausalLM,
						    MvpForConditionalGeneration,
						    MvpForQuestionAnswering,
						    MvpForSequenceClassification,
						    MvpModel,
						    MvpPreTrainedModel,
						)

else:
			import sys

			_A	:			str         =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





"""simple docstring"""



def   __lowerCAmelCase						(						lowercase  :  list[int] )	->						float:


    """simple docstring"""





    if not nums:  # Makes sure that the list is not empty
        raise ValueError("List is empty" )

    snake_case    :      List[str]      					=    sum(lowercase ) / len(lowercase )  # Calculate the average
    return sum(abs(x - average ) for x in nums ) / len(lowercase )


if __name__ == "__main__":
  import doctest

  doctest.testmod()





