


from typing import TYPE_CHECKING

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


snake_case    :   Dict	    =					{
    '''configuration_blenderbot_small''': [
        '''BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BlenderbotSmallConfig''',
        '''BlenderbotSmallOnnxConfig''',
    ],
    '''tokenization_blenderbot_small''': ['''BlenderbotSmallTokenizer'''],
}

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

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case    :   Optional[int]	    =					[
					    '''BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''BlenderbotSmallForCausalLM''',
					    '''BlenderbotSmallForConditionalGeneration''',
					    '''BlenderbotSmallModel''',
					    '''BlenderbotSmallPreTrainedModel''',
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case    :   Dict	    =					[
					    '''TFBlenderbotSmallForConditionalGeneration''',
					    '''TFBlenderbotSmallModel''',
					    '''TFBlenderbotSmallPreTrainedModel''',
					]

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case    :   str	    =					[
					    '''FlaxBlenderbotSmallForConditionalGeneration''',
					    '''FlaxBlenderbotSmallModel''',
					    '''FlaxBlenderbotSmallPreTrainedModel''',
					]

if TYPE_CHECKING:
					from .configuration_blenderbot_small import (
					    BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    BlenderbotSmallConfig,
					    BlenderbotSmallOnnxConfig,
					)
					from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_blenderbot_small import (
										    BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BlenderbotSmallForCausalLM,
										    BlenderbotSmallForConditionalGeneration,
										    BlenderbotSmallModel,
										    BlenderbotSmallPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_blenderbot_small import (
										    TFBlenderbotSmallForConditionalGeneration,
										    TFBlenderbotSmallModel,
										    TFBlenderbotSmallPreTrainedModel,
										)

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_blenderbot_small import (
										    FlaxBlenderbotSmallForConditionalGeneration,
										    FlaxBlenderbotSmallModel,
										    FlaxBlenderbotSmallPreTrainedModel,
										)

else:
					import sys

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









def     __lowerCamelCase						(			UpperCAmelCase_						:		int = 100						):




      """simple docstring"""





      a						:List[Any]										=	0
      a						:List[Any]										=	0
      for i in range(1			,  n + 1						):
            sum_of_squares += i**2
            sum_of_ints += i
      return sum_of_ints**2 - sum_of_squares


if __name__ == "__main__":
     print(F"""{solution() = }""")





