

from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

lowerCAmelCase__     :   List[str]       = (
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
lowerCAmelCase__     :   Tuple       = [ord(letter) for letter in string.ascii_lowercase]
lowerCAmelCase__     :   Any       = {ord(char) for char in VALID_CHARS}

lowerCAmelCase__     :   Tuple       = ["the", "be", "to", "of", "and", "in", "that", "have"]
def      _lowerCAmelCase(	__A   ,       __A			):
  UpperCAmelCase					      =  ""
  UpperCAmelCase					      =  42
  UpperCAmelCase					      =  42
  UpperCAmelCase					      =  42

  for keychar, cipherchar in zip(cycle(__A			)   ,       __A			):
    UpperCAmelCase					      =  cipherchar ^ keychar
    if decodedchar not in VALID_INTS:
      return None
    decoded += chr(__A			)

  return decoded
def      _lowerCAmelCase(	__A			):
  UpperCAmelCase					      =  []
  for key in product(__A   ,       repeat=3			):
    UpperCAmelCase					      =  try_key(__A   ,       __A			)
    if encoded is not None:
      possibles.append(__A			)
  return possibles
def      _lowerCAmelCase(	__A   ,       __A			):
  return [possible for possible in possibles if common_word in possible.lower()]
def      _lowerCAmelCase(	__A = "p059_cipher.txt"			):
  UpperCAmelCase					      =  42
  UpperCAmelCase					      =  42
  UpperCAmelCase					      =  42
  UpperCAmelCase					      =  42
  UpperCAmelCase					      =  Path(__A			).parent.joinpath(__A			).read_text(encoding="utf-8"			)

  UpperCAmelCase					      =  [int(__A			) for number in data.strip().split(","			)]

  UpperCAmelCase					      =  filter_valid_chars(__A			)
  for common_word in COMMON_WORDS:
    UpperCAmelCase					      =  filter_common_word(__A   ,       __A			)
    if len(__A			) == 1:
      break

  UpperCAmelCase					      =  possibles[0]
  return sum(ord(__A			) for char in decoded_text			)


if __name__ == "__main__":
      print(f"{solution() = }")






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


lowerCAmelCase__       = logging.get_logger(__name__)

lowerCAmelCase__       = {
    "unc-nlp/lxmert-base-uncased": "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json",
}






class 						__magic_name__    (       _snake_case    ):
 UpperCAmelCase							    =						"""lxmert"""
 UpperCAmelCase							    =						{}


 def __init__(						self		: int			,						lowerCAmelCase__		: Any=3_0_5_2_2			,						lowerCAmelCase__		: List[str]=7_6_8			,						lowerCAmelCase__		: Union[str, Any]=1_2			,						lowerCAmelCase__		: List[Any]=9_5_0_0			,						lowerCAmelCase__		: Any=1_6_0_0			,						lowerCAmelCase__		: Union[str, Any]=4_0_0			,						lowerCAmelCase__		: Tuple=3_0_7_2			,						lowerCAmelCase__		: Dict="gelu"			,						lowerCAmelCase__		: Tuple=0.1			,						lowerCAmelCase__		: Tuple=0.1			,						lowerCAmelCase__		: int=5_1_2			,						lowerCAmelCase__		: List[str]=2			,						lowerCAmelCase__		: List[str]=0.02			,						lowerCAmelCase__		: str=1e-1_2			,						lowerCAmelCase__		: str=9			,						lowerCAmelCase__		: int=5			,						lowerCAmelCase__		: Optional[int]=5			,						lowerCAmelCase__		: List[Any]=2_0_4_8			,						lowerCAmelCase__		: Any=4			,						lowerCAmelCase__		: Dict=6.67			,						lowerCAmelCase__		: Any=True			,						lowerCAmelCase__		: Union[str, Any]=True			,						lowerCAmelCase__		: Any=True			,						lowerCAmelCase__		: Tuple=True			,						lowerCAmelCase__		: Optional[Any]=True			,						lowerCAmelCase__		: Optional[int]=True			,						lowerCAmelCase__		: Tuple=True			,						**lowerCAmelCase__		: List[Any]			,						)    ->      Dict:
   UpperCAmelCase					      =  vocab_size
   UpperCAmelCase					      =  hidden_size
   UpperCAmelCase					      =  num_attention_heads
   UpperCAmelCase					      =  hidden_act
   UpperCAmelCase					      =  intermediate_size
   UpperCAmelCase					      =  hidden_dropout_prob
   UpperCAmelCase					      =  attention_probs_dropout_prob
   UpperCAmelCase					      =  max_position_embeddings
   UpperCAmelCase					      =  type_vocab_size
   UpperCAmelCase					      =  initializer_range
   UpperCAmelCase					      =  layer_norm_eps
   UpperCAmelCase					      =  num_qa_labels
   UpperCAmelCase					      =  num_object_labels
   UpperCAmelCase					      =  num_attr_labels
   UpperCAmelCase					      =  l_layers
   UpperCAmelCase					      =  x_layers
   UpperCAmelCase					      =  r_layers
   UpperCAmelCase					      =  visual_feat_dim
   UpperCAmelCase					      =  visual_pos_dim
   UpperCAmelCase					      =  visual_loss_normalizer
   UpperCAmelCase					      =  task_matched
   UpperCAmelCase					      =  task_mask_lm
   UpperCAmelCase					      =  task_obj_predict
   UpperCAmelCase					      =  task_qa
   UpperCAmelCase					      =  visual_obj_loss
   UpperCAmelCase					      =  visual_attr_loss
   UpperCAmelCase					      =  visual_feat_loss
   UpperCAmelCase					      =  {"vision": r_layers, "cross_encoder": x_layers, "language": l_layers}
   super().__init__(**lowerCAmelCase__    )



