_lowercase				:   Optional[Any]   				=tuple[float, float, float]
_lowercase				:   int   				=tuple[float, float, float]



def A__	(      lowercase:  int,		lowercase:  Union[str, Any]       )					->		Vectorad:
       A    :  int								=end_pointa[0] - end_pointa[0]
       A    :  List[Any]								=end_pointa[1] - end_pointa[1]
       A    :  Optional[int]								=end_pointa[2] - end_pointa[2]
       return (x, y, z)



def A__	(      lowercase:  Tuple,		lowercase:  Optional[Any]       )					->		Vectorad:
       A    :  Optional[int]								=ab[1] * ac[2] - ab[2] * ac[1]  # *i
       A    :  Dict								=(ab[0] * ac[2] - ab[2] * ac[0]) * -1  # *j
       A    :  Tuple								=ab[0] * ac[1] - ab[1] * ac[0]  # *k
       return (x, y, z)



def A__	(      lowercase:  Optional[Any],		lowercase:  List[str]       )					->		bool:
       return tuple(round(lowerCamelCase_,		lowerCamelCase_       ) for x in vector       ) == (0, 0, 0)



def A__	(      lowercase:  Tuple,		lowercase:  List[Any],		lowercase:  Union[str, Any],		lowercase:  Dict = 10       )					->		bool:
       A    :  int								=create_vector(lowerCamelCase_,		lowerCamelCase_       )
       A    :  Any								=create_vector(lowerCamelCase_,		lowerCamelCase_       )
       return is_zero_vector(get_ad_vectors_cross(lowerCamelCase_,		lowerCamelCase_       ),		lowerCamelCase_       )










from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE			: Optional[Any]				   =					{
    "configuration_conditional_detr": [
        "CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ConditionalDetrConfig",
        "ConditionalDetrOnnxConfig",
    ]
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE			: Union[str, Any]				   =					["ConditionalDetrFeatureExtractor"]
 SCREAMING_SNAKE_CASE			: Optional[Any]				   =					["ConditionalDetrImageProcessor"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE			: Any				   =					[
     "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

 SCREAMING_SNAKE_CASE			: str				   =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


