





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


_UpperCAmelCase             =							logging.get_logger(__name__)

_UpperCAmelCase             =							{
    '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        snake_case_    (		__lowercase						):
  A_      							=   'trajectory_transformer'
  A_      							=   ['past_key_values']
  A_      							=   {
      'hidden_size': 'n_embd',
      'num_attention_heads': 'n_head',
      'num_hidden_layers': 'n_layer',
  }






  def __init__(							self			:					Optional[Any]       ,  _snake_case			:					str=100       ,  _snake_case			:					Any=5       ,  _snake_case			:					List[str]=1       ,  _snake_case			:					Optional[int]=1       ,  _snake_case			:					Dict=249       ,  _snake_case			:					Optional[int]=6       ,  _snake_case			:					Optional[int]=17       ,  _snake_case			:					Optional[int]=25       ,  _snake_case			:					List[str]=4       ,  _snake_case			:					List[Any]=4       ,  _snake_case			:					List[str]=128       ,  _snake_case			:					str=0.1       ,  _snake_case			:					Dict=0.1       ,  _snake_case			:					Any=0.1       ,  _snake_case			:					str=0.0_006       ,  _snake_case			:					Optional[int]=512       ,  _snake_case			:					Dict=0.02       ,  _snake_case			:					List[Any]=1E-12       ,  _snake_case			:					str=1       ,  _snake_case			:					Optional[Any]=True       ,  _snake_case			:					List[Any]=1       ,  _snake_case			:					Optional[int]=50256       ,  _snake_case			:					int=50256       ,  **_snake_case			:					List[Any]       ,  )->List[str]:






   '''simple docstring'''

   __lowerCAmelCase					:	str      =       vocab_size
   __lowerCAmelCase					:	List[str]      =       action_weight
   __lowerCAmelCase					:	int      =       reward_weight
   __lowerCAmelCase					:	str      =       value_weight
   __lowerCAmelCase					:	List[Any]      =       max_position_embeddings
   __lowerCAmelCase					:	List[Any]      =       block_size
   __lowerCAmelCase					:	str      =       action_dim
   __lowerCAmelCase					:	int      =       observation_dim
   __lowerCAmelCase					:	List[Any]      =       transition_dim
   __lowerCAmelCase					:	Union[str, Any]      =       learning_rate
   __lowerCAmelCase					:	Any      =       n_layer
   __lowerCAmelCase					:	Dict      =       n_head
   __lowerCAmelCase					:	Union[str, Any]      =       n_embd
   __lowerCAmelCase					:	List[Any]      =       embd_pdrop
   __lowerCAmelCase					:	str      =       attn_pdrop
   __lowerCAmelCase					:	Dict      =       resid_pdrop
   __lowerCAmelCase					:	Any      =       initializer_range
   __lowerCAmelCase					:	Any      =       layer_norm_eps
   __lowerCAmelCase					:	str      =       kaiming_initializer_range
   __lowerCAmelCase					:	Any      =       use_cache
   super().__init__(pad_token_id=_snake_case       ,  bos_token_id=_snake_case       ,  eos_token_id=_snake_case       ,  **_snake_case      )






from __future__ import annotations

import time

import numpy as np

_UpperCAmelCase             =							[8, 5, 9, 7]
_UpperCAmelCase             =							[
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
_UpperCAmelCase             =							[
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]






class        snake_case_    :






  def __init__(							self			:					Union[str, Any]       ,  _snake_case			:					list[int]       ,  _snake_case			:					list[list[int]]       ,  _snake_case			:					list[list[int]]       ,  )->None:






   '''simple docstring'''

   __lowerCAmelCase					:	str      =       claim_vector
   __lowerCAmelCase					:	List[Any]      =       allocated_resources_table
   __lowerCAmelCase					:	str      =       maximum_claim_table






  def 				UpperCAmelCase__						(							self			:					Tuple      )->list[int]:






   '''simple docstring'''

   return [
       sum(p_item[i] for p_item in self.__allocated_resources_table      )
       for i in range(len(self.__allocated_resources_table[0]      )      )
   ]






  def 				UpperCAmelCase__						(							self			:					int      )->list[int]:






   '''simple docstring'''

   return np.array(self.__claim_vector      ) - np.array(
       self.__processes_resource_summation()      )






  def 				UpperCAmelCase__						(							self			:					Optional[int]      )->list[list[int]]:






   '''simple docstring'''

   return [
       list(np.array(self.__maximum_claim_table[i]      ) - np.array(_snake_case      )      )
       for i, allocated_resource in enumerate(self.__allocated_resources_table      )
   ]






  def 				UpperCAmelCase__						(							self			:					Union[str, Any]      )->dict[int, list[int]]:






   '''simple docstring'''

   return {self.__need().index(_snake_case      ): i for i in self.__need()}






  def 				UpperCAmelCase__						(							self			:					Dict       ,  **_snake_case			:					Optional[Any]      )->None:






   '''simple docstring'''

   __lowerCAmelCase					:	Optional[int]      =       self.__need()
   __lowerCAmelCase					:	Any      =       self.__allocated_resources_table
   __lowerCAmelCase					:	List[Any]      =       self.__available_resources()
   __lowerCAmelCase					:	Optional[Any]      =       self.__need_index_manager()
   for kw, val in kwargs.items():
    if kw and val is True:
     self.__pretty_data()
   print("""_""" * 50 + """\n"""      )
   while need_list:
    __lowerCAmelCase					:	Optional[Any]      =       False
    for each_need in need_list:
     __lowerCAmelCase					:	Optional[int]      =       True
     for index, need in enumerate(_snake_case      ):
      if need > available_resources[index]:
       __lowerCAmelCase					:	int      =       False
       break
     if execution:
      __lowerCAmelCase					:	int      =       True
      # get the original index of the process from ind_ctrl db
      for original_need_index, need_clone in need_index_manager.items():
       if each_need == need_clone:
        __lowerCAmelCase					:	Any      =       original_need_index
      print(F'''Process {process_number + 1} is executing.'''      )
      # remove the process run from stack
      need_list.remove(_snake_case      )
      # update available/freed resources stack
      __lowerCAmelCase					:	int      =       np.array(_snake_case      ) + np.array(
          alloc_resources_table[process_number]      )
      print(
          """Updated available resource stack for processes: """
          + """ """.join([str(_snake_case      ) for x in available_resources]      )      )
      break
    if safe:
     print("""The process is in a safe state.\n"""      )
    else:
     print("""System in unsafe state. Aborting...\n"""      )
     break






  def 				UpperCAmelCase__						(							self			:					List[Any]      )->int:






   '''simple docstring'''

   print(""" """ * 9 + """Allocated Resource Table"""      )
   for item in self.__allocated_resources_table:
    print(
        F'''P{self.__allocated_resources_table.index(_snake_case      ) + 1}'''
        + """ """.join(F'''{it:>8}''' for it in item      )
        + """\n"""      )
   print(""" """ * 9 + """System Resource Table"""      )
   for item in self.__maximum_claim_table:
    print(
        F'''P{self.__maximum_claim_table.index(_snake_case      ) + 1}'''
        + """ """.join(F'''{it:>8}''' for it in item      )
        + """\n"""      )
   print(
       """Current Usage by Active Processes: """
       + """ """.join(str(_snake_case      ) for x in self.__claim_vector      )      )
   print(
       """Initial Available Resources:       """
       + """ """.join(str(_snake_case      ) for x in self.__available_resources()      )      )
   time.sleep(1      )


if __name__ == "__main__":
      import doctest

      doctest.testmod()