






"""simple docstring"""
from typing import TYPE_CHECKING

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


lowerCamelCase_					=      {
    'configuration_conditional_detr': [
        'CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ConditionalDetrConfig',
        'ConditionalDetrOnnxConfig',
    ]
}

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCamelCase_					=      ['ConditionalDetrFeatureExtractor']
			lowerCamelCase_					=      ['ConditionalDetrImageProcessor']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCamelCase_					=      [
			    'CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'ConditionalDetrForObjectDetection',
			    'ConditionalDetrForSegmentation',
			    'ConditionalDetrModel',
			    'ConditionalDetrPreTrainedModel',
			]


if TYPE_CHECKING:
			from .configuration_conditional_detr import (
			    CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    ConditionalDetrConfig,
			    ConditionalDetrOnnxConfig,
			)

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .feature_extraction_conditional_detr import ConditionalDetrFeatureExtractor
						from .image_processing_conditional_detr import ConditionalDetrImageProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_conditional_detr import (
						    CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ConditionalDetrForObjectDetection,
						    ConditionalDetrForSegmentation,
						    ConditionalDetrModel,
						    ConditionalDetrPreTrainedModel,
						)

else:
			import sys

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











"""simple docstring"""



def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  int = 1_00    ):





  '''simple docstring'''





  lowercase							    =       0
  lowercase							    =       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() = }''')


