




import unittest

import numpy as np



def 						lowerCAmelCase		(		_lowerCAmelCase							:   np.ndarray						,							_lowerCAmelCase							:   np.ndarray						,							_lowerCAmelCase							:   np.ndarray						,							_lowerCAmelCase							:   np.ndarray | None = None						,							):




 """simple docstring"""







 UpperCAmelCase__							 =						np.shape(_lowerCAmelCase	)
 UpperCAmelCase__							 =						np.shape(_lowerCAmelCase	)
 UpperCAmelCase__							 =						np.shape(_lowerCAmelCase	)

 if shape_a[0] != shape_b[0]:
  UpperCAmelCase__							 =						(
      "Expected the same number of rows for A and B. "
      F'''Instead found A of size {shape_a} and B of size {shape_b}'''
  )
  raise ValueError(_lowerCAmelCase	)

 if shape_b[1] != shape_c[1]:
  UpperCAmelCase__							 =						(
      "Expected the same number of columns for B and C. "
      F'''Instead found B of size {shape_b} and C of size {shape_c}'''
  )
  raise ValueError(_lowerCAmelCase	)

 UpperCAmelCase__							 =						pseudo_inv
 if a_inv is None:
  try:
   UpperCAmelCase__							 =						np.linalg.inv(_lowerCAmelCase	)
  except np.linalg.LinAlgError:
   raise ValueError(
       "Input matrix A is not invertible. Cannot compute Schur complement."	)

 return mat_c - mat_b.T @ a_inv @ mat_b
class 			_UpperCamelCase      (				unittest.TestCase		):
      def 	UpperCAmelCase_						(			self   :Dict      )     ->			None:
       UpperCAmelCase__							 =						np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]      )
       UpperCAmelCase__							 =						np.array([[0, 3], [3, 0], [2, 3]]      )
       UpperCAmelCase__							 =						np.array([[2, 1], [6, 3]]      )

       UpperCAmelCase__							 =						schur_complement(lowerCamelCase ,      lowerCamelCase ,      lowerCamelCase      )

       UpperCAmelCase__							 =						np.block([[a, b], [b.T, c]]      )

       UpperCAmelCase__							 =						np.linalg.det(lowerCamelCase      )
       UpperCAmelCase__							 =						np.linalg.det(lowerCamelCase      )
       UpperCAmelCase__							 =						np.linalg.det(lowerCamelCase      )

       self.assertAlmostEqual(lowerCamelCase ,      det_a * det_s      )
      def 	UpperCAmelCase_						(			self   :Optional[Any]      )     ->			None:
       UpperCAmelCase__							 =						np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]      )
       UpperCAmelCase__							 =						np.array([[0, 3], [3, 0], [2, 3]]      )
       UpperCAmelCase__							 =						np.array([[2, 1], [6, 3]]      )

       with self.assertRaises(lowerCamelCase      ):
        schur_complement(lowerCamelCase ,      lowerCamelCase ,      lowerCamelCase      )







      def 	UpperCAmelCase_						(			self   :Any      )     ->			None:
       UpperCAmelCase__							 =						np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]      )
       UpperCAmelCase__							 =						np.array([[0, 3], [3, 0], [2, 3]]      )
       UpperCAmelCase__							 =						np.array([[2, 1, 3], [6, 3, 5]]      )

       with self.assertRaises(lowerCamelCase      ):
        schur_complement(lowerCamelCase ,      lowerCamelCase ,      lowerCamelCase      )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  unittest.main()











from ....configuration_utils import PretrainedConfig
from ....utils import logging


_lowerCAmelCase						:   Union[str, Any]		=   logging.get_logger(__name__)

_lowerCAmelCase						:   Tuple		=   {
    "CarlCochet/trajectory-transformer-halfcheetah-medium-v2": (
        "https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json"
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}
class 			_UpperCamelCase      (				lowerCAmelCase		):
      UpperCAmelCase_        =		"""trajectory_transformer"""
      UpperCAmelCase_        =		["""past_key_values"""]
      UpperCAmelCase_        =		{
          """hidden_size""": """n_embd""",
          """num_attention_heads""": """n_head""",
          """num_hidden_layers""": """n_layer""",
      }
      def __init__(			self   :Union[str, Any] ,      lowerCamelCase   :Optional[int]=100 ,      lowerCamelCase   :Optional[int]=5 ,      lowerCamelCase   :Optional[Any]=1 ,      lowerCamelCase   :Any=1 ,      lowerCamelCase   :int=249 ,      lowerCamelCase   :Optional[Any]=6 ,      lowerCamelCase   :Optional[Any]=17 ,      lowerCamelCase   :Optional[int]=25 ,      lowerCamelCase   :Union[str, Any]=4 ,      lowerCamelCase   :Union[str, Any]=4 ,      lowerCamelCase   :Optional[int]=128 ,      lowerCamelCase   :List[Any]=0.1 ,      lowerCamelCase   :List[str]=0.1 ,      lowerCamelCase   :Tuple=0.1 ,      lowerCamelCase   :Dict=0.00_06 ,      lowerCamelCase   :Dict=512 ,      lowerCamelCase   :Optional[Any]=0.02 ,      lowerCamelCase   :Any=1e-12 ,      lowerCamelCase   :Optional[Any]=1 ,      lowerCamelCase   :List[Any]=True ,      lowerCamelCase   :int=1 ,      lowerCamelCase   :Dict=5_0256 ,      lowerCamelCase   :Union[str, Any]=5_0256 ,      **lowerCamelCase   :int ,      )     ->			Optional[Any]:
       UpperCAmelCase__							 =						vocab_size
       UpperCAmelCase__							 =						action_weight
       UpperCAmelCase__							 =						reward_weight
       UpperCAmelCase__							 =						value_weight
       UpperCAmelCase__							 =						max_position_embeddings
       UpperCAmelCase__							 =						block_size
       UpperCAmelCase__							 =						action_dim
       UpperCAmelCase__							 =						observation_dim
       UpperCAmelCase__							 =						transition_dim
       UpperCAmelCase__							 =						learning_rate
       UpperCAmelCase__							 =						n_layer
       UpperCAmelCase__							 =						n_head
       UpperCAmelCase__							 =						n_embd
       UpperCAmelCase__							 =						embd_pdrop
       UpperCAmelCase__							 =						attn_pdrop
       UpperCAmelCase__							 =						resid_pdrop
       UpperCAmelCase__							 =						initializer_range
       UpperCAmelCase__							 =						layer_norm_eps
       UpperCAmelCase__							 =						kaiming_initializer_range
       UpperCAmelCase__							 =						use_cache
       super().__init__(pad_token_id=lowerCamelCase ,      bos_token_id=lowerCamelCase ,      eos_token_id=lowerCamelCase ,      **lowerCamelCase      )





