


def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					list[int]			,     SCREAMING_SNAKE_CASE__			:					list[int]				):

     # Check if the input is valid
     if not len(SCREAMING_SNAKE_CASE__				) == len(SCREAMING_SNAKE_CASE__				) == 3:
          raise ValueError('Please enter a valid equation.'				)
     if equationa[0] == equationa[1] == equationa[0] == equationa[1] == 0:
          raise ValueError('Both a & b of two equations can\'t be zero.'				)

     # Extract the coefficients
     __UpperCamelCase							,      __UpperCamelCase							,      __UpperCamelCase    							=equationa
     __UpperCamelCase							,      __UpperCamelCase							,      __UpperCamelCase    							=equationa

     # Calculate the determinants of the matrices
     __UpperCamelCase    							=aa * ba - aa * ba
     __UpperCamelCase    							=ca * ba - ca * ba
     __UpperCamelCase    							=aa * ca - aa * ca

     # Check if the system of linear equations has a solution (using Cramer's rule)
     if determinant == 0:
          if determinant_x == determinant_y == 0:
               raise ValueError('Infinite solutions. (Consistent system)'				)
          else:
               raise ValueError('No solution. (Inconsistent system)'				)
     else:
          if determinant_x == determinant_y == 0:
               # Trivial solution (Inconsistent system)
               return (0.0, 0.0)
          else:
               __UpperCamelCase    							=determinant_x / determinant
               __UpperCamelCase    							=determinant_y / determinant
               # Non-Trivial Solution (Consistent system)
               return (x, y)









from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_A		       =						logging.get_logger(__name__)

_A		       =						{
    'hustvl/yolos-small': 'https://huggingface.co/hustvl/yolos-small/resolve/main/config.json',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}






class     UpperCAmelCase__       (					A_		):



    """simple docstring"""






    UpperCAmelCase__						:		Optional[int]      =  "yolos"






    def __init__(			self					,   A_=768					,   A_=12					,   A_=12					,   A_=3072					,   A_="gelu"					,   A_=0.0					,   A_=0.0					,   A_=0.02					,   A_=1E-12					,   A_=[512, 864]					,   A_=16					,   A_=3					,   A_=True					,   A_=100					,   A_=True					,   A_=False					,   A_=1					,   A_=5					,   A_=2					,   A_=5					,   A_=2					,   A_=0.1					,   **A_					,   )  ->       Any:
         super().__init__(**A_    )

         __UpperCamelCase    							=hidden_size
         __UpperCamelCase    							=num_hidden_layers
         __UpperCamelCase    							=num_attention_heads
         __UpperCamelCase    							=intermediate_size
         __UpperCamelCase    							=hidden_act
         __UpperCamelCase    							=hidden_dropout_prob
         __UpperCamelCase    							=attention_probs_dropout_prob
         __UpperCamelCase    							=initializer_range
         __UpperCamelCase    							=layer_norm_eps
         __UpperCamelCase    							=image_size
         __UpperCamelCase    							=patch_size
         __UpperCamelCase    							=num_channels
         __UpperCamelCase    							=qkv_bias
         __UpperCamelCase    							=num_detection_tokens
         __UpperCamelCase    							=use_mid_position_embeddings
         __UpperCamelCase    							=auxiliary_loss
         # Hungarian matcher
         __UpperCamelCase    							=class_cost
         __UpperCamelCase    							=bbox_cost
         __UpperCamelCase    							=giou_cost
         # Loss coefficients
         __UpperCamelCase    							=bbox_loss_coefficient
         __UpperCamelCase    							=giou_loss_coefficient
         __UpperCamelCase    							=eos_coefficient






class     UpperCAmelCase__       (					A_		):



    """simple docstring"""






    UpperCAmelCase__						:		str      =  version.parse("1.11"		)






    @property
    def _a					(			self    )  ->       Mapping[str, Mapping[int, str]]:
         return OrderedDict(
             [
                 ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
             ]    )






    @property
    def _a					(			self    )  ->       float:
         return 1E-4






    @property
    def _a					(			self    )  ->       int:
         return 12





