




from __future__ import annotations

from collections.abc import Sequence
from typing import Literal



def 						lowerCAmelCase		(		_lowerCAmelCase							:   str						,							_lowerCAmelCase							:   str	):




 """simple docstring"""







 UpperCAmelCase__							 =						list(_lowerCAmelCase	)
 UpperCAmelCase__							 =						list(_lowerCAmelCase	)
 UpperCAmelCase__							 =						0
 for i in range(len(_lowerCAmelCase	)	):
  if lista[i] != lista[i]:
   count += 1
   UpperCAmelCase__							 =						"_"
 if count > 1:
  return False
 else:
  return "".join(_lowerCAmelCase	)



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[str]	):




 """simple docstring"""







 UpperCAmelCase__							 =						[]
 while True:
  UpperCAmelCase__							 =						["$"] * len(_lowerCAmelCase	)
  UpperCAmelCase__							 =						[]
  for i in range(len(_lowerCAmelCase	)	):
   for j in range(i + 1						,							len(_lowerCAmelCase	)	):
    UpperCAmelCase__							 =						compare_string(binary[i]						,							binary[j]	)
    if k is False:
     UpperCAmelCase__							 =						"*"
     UpperCAmelCase__							 =						"*"
     temp.append("X"	)
  for i in range(len(_lowerCAmelCase	)	):
   if checka[i] == "$":
    pi.append(binary[i]	)
  if len(_lowerCAmelCase	) == 0:
   return pi
  UpperCAmelCase__							 =						list(set(_lowerCAmelCase	)	)



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int						,							_lowerCAmelCase							:   Sequence[float]	):




 """simple docstring"""







 UpperCAmelCase__							 =						[]
 for minterm in minterms:
  UpperCAmelCase__							 =						""
  for _ in range(_lowerCAmelCase	):
   UpperCAmelCase__							 =						str(minterm % 2	) + string
   minterm //= 2
  temp.append(_lowerCAmelCase	)
 return temp



def 						lowerCAmelCase		(		_lowerCAmelCase							:   str						,							_lowerCAmelCase							:   str						,							_lowerCAmelCase							:   int	):




 """simple docstring"""







 UpperCAmelCase__							 =						list(_lowerCAmelCase	)
 UpperCAmelCase__							 =						list(_lowerCAmelCase	)
 UpperCAmelCase__							 =						0
 for i in range(len(_lowerCAmelCase	)	):
  if lista[i] != lista[i]:
   count_n += 1
 return count_n == count



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]						,							_lowerCAmelCase							:   list[str]	):




 """simple docstring"""







 UpperCAmelCase__							 =						[]
 UpperCAmelCase__							 =						[0] * len(_lowerCAmelCase	)
 for i in range(len(chart[0]	)	):
  UpperCAmelCase__							 =						0
  UpperCAmelCase__							 =						-1
  for j in range(len(_lowerCAmelCase	)	):
   if chart[j][i] == 1:
    count += 1
    UpperCAmelCase__							 =						j
  if count == 1:
   UpperCAmelCase__							 =						1
 for i in range(len(_lowerCAmelCase	)	):
  if select[i] == 1:
   for j in range(len(chart[0]	)	):
    if chart[i][j] == 1:
     for k in range(len(_lowerCAmelCase	)	):
      UpperCAmelCase__							 =						0
   temp.append(prime_implicants[i]	)
 while True:
  UpperCAmelCase__							 =						0
  UpperCAmelCase__							 =						-1
  UpperCAmelCase__							 =						0
  for i in range(len(_lowerCAmelCase	)	):
   UpperCAmelCase__							 =						chart[i].count(1	)
   if count_n > max_n:
    UpperCAmelCase__							 =						count_n
    UpperCAmelCase__							 =						i

  if max_n == 0:
   return temp

  temp.append(prime_implicants[rem]	)

  for i in range(len(chart[0]	)	):
   if chart[rem][i] == 1:
    for j in range(len(_lowerCAmelCase	)	):
     UpperCAmelCase__							 =						0



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[str]						,							_lowerCAmelCase							:   list[str]	):




 """simple docstring"""







 UpperCAmelCase__							 =						[[0 for x in range(len(_lowerCAmelCase	)	)] for x in range(len(_lowerCAmelCase	)	)]
 for i in range(len(_lowerCAmelCase	)	):
  UpperCAmelCase__							 =						prime_implicants[i].count("_"	)
  for j in range(len(_lowerCAmelCase	)	):
   if is_for_table(prime_implicants[i]						,							binary[j]						,							_lowerCAmelCase	):
    UpperCAmelCase__							 =						1

 return chart



def 						lowerCAmelCase		(		):




 """simple docstring"""







 UpperCAmelCase__							 =						int(input("Enter the no. of variables\n"	)	)
 UpperCAmelCase__							 =						[
     float(_lowerCAmelCase	)
     for x in input(
         "Enter the decimal representation of Minterms 'Spaces Separated'\n"	).split()
 ]
 UpperCAmelCase__							 =						decimal_to_binary(_lowerCAmelCase						,							_lowerCAmelCase	)

 UpperCAmelCase__							 =						check(_lowerCAmelCase	)
 print("Prime Implicants are:"	)
 print(_lowerCAmelCase	)
 UpperCAmelCase__							 =						prime_implicant_chart(_lowerCAmelCase						,							_lowerCAmelCase	)

 UpperCAmelCase__							 =						selection(_lowerCAmelCase						,							_lowerCAmelCase	)
 print("Essential Prime Implicants are:"	)
 print(_lowerCAmelCase	)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  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      )





