'''simple docstring'''




import datasets

from .evaluate import evaluate


__SCREAMING_SNAKE_CASE       :     Tuple     =  """\
@article{hendrycks2021cuad,
      title={CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review},
      author={Dan Hendrycks and Collin Burns and Anya Chen and Spencer Ball},
      journal={arXiv preprint arXiv:2103.06268},
      year={2021}
}
"""

__SCREAMING_SNAKE_CASE       :     str     =  """
This metric wrap the official scoring script for version 1 of the Contract
Understanding Atticus Dataset (CUAD).
Contract Understanding Atticus Dataset (CUAD) v1 is a corpus of more than 13,000 labels in 510
commercial legal contracts that have been manually labeled to identify 41 categories of important
clauses that lawyers look for when reviewing contracts in connection with corporate transactions.
"""

__SCREAMING_SNAKE_CASE       :     Optional[int]     =  """
Computes CUAD scores (EM, F1, AUPR, Precision@80%Recall, and Precision@90%Recall).
Args:
    predictions: List of question-answers dictionaries with the following key-values:
        - 'id': id of the question-answer pair as given in the references (see below)
        - 'prediction_text': list of possible texts for the answer, as a list of strings
        depending on a threshold on the confidence probability of each prediction.
    references: List of question-answers dictionaries with the following key-values:
        - 'id': id of the question-answer pair (see above),
        - 'answers': a Dict in the CUAD dataset format
            {
                'text': list of possible texts for the answer, as a list of strings
                'answer_start': list of start positions for the answer, as a list of ints
            }
            Note that answer_start values are not taken into account to compute the metric.
Returns:
    'exact_match': Exact match (the normalized answer exactly match the gold answer)
    'f1': The F-score of predicted tokens versus the gold answer
    'aupr': Area Under the Precision-Recall curve
    'prec_at_80_recall': Precision at 80% recall
    'prec_at_90_recall': Precision at 90% recall
Examples:
    >>> predictions = [{'prediction_text': ['The seller:', 'The buyer/End-User: Shenzhen LOHAS Supply Chain Management Co., Ltd.'], 'id': 'LohaCompanyltd_20191209_F-1_EX-10.16_11917878_EX-10.16_Supply Agreement__Parties'}]
    >>> references = [{'answers': {'answer_start': [143, 49], 'text': ['The seller:', 'The buyer/End-User: Shenzhen LOHAS Supply Chain Management Co., Ltd.']}, 'id': 'LohaCompanyltd_20191209_F-1_EX-10.16_11917878_EX-10.16_Supply Agreement__Parties'}]
    >>> cuad_metric = datasets.load_metric(\"cuad\")
    >>> results = cuad_metric.compute(predictions=predictions, references=references)
    >>> print(results)
    {'exact_match': 100.0, 'f1': 100.0, 'aupr': 0.0, 'prec_at_80_recall': 1.0, 'prec_at_90_recall': 1.0}
"""

@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION							, _KWARGS_DESCRIPTION    )
class 	lowerCamelCase_	(datasets.Metric    ):
      '''simple docstring'''

      def      _A	(       self						:				Optional[Any]       ):
             return datasets.MetricInfo(
                 description=_DESCRIPTION						,					citation=_CITATION						,					inputs_description=_KWARGS_DESCRIPTION						,					features=datasets.Features(
                     {
                         "predictions": {
                             "id": datasets.Value("string"       ),
                             "prediction_text": datasets.features.Sequence(datasets.Value("string"       )       ),
                         },
                         "references": {
                             "id": datasets.Value("string"       ),
                             "answers": datasets.features.Sequence(
                                 {
                                     "text": datasets.Value("string"       ),
                                     "answer_start": datasets.Value("int32"       ),
                                 }       ),
                         },
                     }       )						,					codebase_urls=["https://www.atticusprojectai.org/cuad"]						,					reference_urls=["https://www.atticusprojectai.org/cuad"]						,					)





      def      _A	(       self						:				Dict						,					A						:				Dict						,					A						:				Optional[int]       ):
             _UpperCAmelCase     :  int							      =    {prediction["id"]: prediction["prediction_text"] for prediction in predictions}
             _UpperCAmelCase     :  str							      =    [
                 {
                     "paragraphs": [
                         {
                             "qas": [
                                 {
                                     "answers": [{"text": answer_text} for answer_text in ref["answers"]["text"]],
                                     "id": ref["id"],
                                 }
                                 for ref in references
                             ]
                         }
                     ]
                 }
             ]
             _UpperCAmelCase     :  Tuple							      =    evaluate(dataset=A						,					predictions=A       )
             return score








"""simple docstring"""





from __future__ import annotations

__A											=		tuple[int, int, int]
__A											=		tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
__A											=		"""ABCDEFGHIJKLMNOPQRSTUVWXYZ"""

# -------------------------- default selection --------------------------
# rotors --------------------------
__A											=		"""EGZWVONAHDCLFQMSIPJBYUKXTR"""
__A											=		"""FOBHMDKEXQNRAULPGSJVTYICZW"""
__A											=		"""ZJXESIUQLHAVRMDOYGTNFWPBKC"""
# reflector --------------------------
__A											=		{
    """A""": """N""",
    """N""": """A""",
    """B""": """O""",
    """O""": """B""",
    """C""": """P""",
    """P""": """C""",
    """D""": """Q""",
    """Q""": """D""",
    """E""": """R""",
    """R""": """E""",
    """F""": """S""",
    """S""": """F""",
    """G""": """T""",
    """T""": """G""",
    """H""": """U""",
    """U""": """H""",
    """I""": """V""",
    """V""": """I""",
    """J""": """W""",
    """W""": """J""",
    """K""": """X""",
    """X""": """K""",
    """L""": """Y""",
    """Y""": """L""",
    """M""": """Z""",
    """Z""": """M""",
}

# -------------------------- extra rotors --------------------------
__A											=		"""RMDJXFUWGISLHVTCQNKYPBEZOA"""
__A											=		"""SGLCPQWZHKXAREONTFBVIYJUDM"""
__A											=		"""HVSICLTYKQUBXDWAJZOMFGPREN"""
__A											=		"""RZWQHFMVDBKICJLNTUXAGYPSOE"""
__A											=		"""LFKIJODBEGAMQPXVUHYSTCZRWN"""
__A											=		"""KOAEGVDHXPQZMLFTYWJNBRCIUS"""
def  __A   (_SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE			)					->tuple[RotorPositionT, RotorSelectionT, dict[str, str]]:





  """simple docstring"""


  if (unique_rotsel := len(set(_SCREAMING_SNAKE_CASE			)			)) < 3:
    lowerCAmelCase__			:Union[str, Any]											=							F"Please use 3 unique rotors (not {unique_rotsel})"
    raise Exception(_SCREAMING_SNAKE_CASE			)

  # Checks if rotor positions are valid
  lowerCAmelCase__							,				lowerCAmelCase__							,				lowerCAmelCase__			:str											=							rotpos
  if not 0 < rotorposa <= len(_SCREAMING_SNAKE_CASE			):
    lowerCAmelCase__			:Tuple											=							F"First rotor position is not within range of 1..26 ({rotorposa}"
    raise ValueError(_SCREAMING_SNAKE_CASE			)
  if not 0 < rotorposa <= len(_SCREAMING_SNAKE_CASE			):
    lowerCAmelCase__			:Optional[Any]											=							F"Second rotor position is not within range of 1..26 ({rotorposa})"
    raise ValueError(_SCREAMING_SNAKE_CASE			)
  if not 0 < rotorposa <= len(_SCREAMING_SNAKE_CASE			):
    lowerCAmelCase__			:Union[str, Any]											=							F"Third rotor position is not within range of 1..26 ({rotorposa})"
    raise ValueError(_SCREAMING_SNAKE_CASE			)

  # Validates string and returns dict
  lowerCAmelCase__			:int											=							_plugboard(_SCREAMING_SNAKE_CASE			)

  return rotpos, rotsel, pbdict
def  __A   (_SCREAMING_SNAKE_CASE			)					->dict[str, str]:





  """simple docstring"""


  if not isinstance(_SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE			):
    lowerCAmelCase__			:str											=							F"Plugboard setting isn't type string ({type(_SCREAMING_SNAKE_CASE			)})"
    raise TypeError(_SCREAMING_SNAKE_CASE			)
  elif len(_SCREAMING_SNAKE_CASE			) % 2 != 0:
    lowerCAmelCase__			:str											=							F"Odd number of symbols ({len(_SCREAMING_SNAKE_CASE			)})"
    raise Exception(_SCREAMING_SNAKE_CASE			)
  elif pbstring == "":
    return {}

  pbstring.replace(' '     ,   ''			)

  # Checks if all characters are unique
  lowerCAmelCase__			:Any											=							set()
  for i in pbstring:
    if i not in abc:
      lowerCAmelCase__			:Any											=							F"'{i}' not in list of symbols"
      raise Exception(_SCREAMING_SNAKE_CASE			)
    elif i in tmppbl:
      lowerCAmelCase__			:Dict											=							F"Duplicate symbol ({i})"
      raise Exception(_SCREAMING_SNAKE_CASE			)
    else:
      tmppbl.add(_SCREAMING_SNAKE_CASE			)
  del tmppbl

  # Created the dictionary
  lowerCAmelCase__			:List[Any]											=							{}
  for j in range(0     ,   len(_SCREAMING_SNAKE_CASE			) - 1     ,   2			):
    lowerCAmelCase__			:Optional[int]											=							pbstring[j + 1]
    lowerCAmelCase__			:Union[str, Any]											=							pbstring[j]

  return pb
def  __A   (_SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE = (rotora, rotora, rotora)     ,   _SCREAMING_SNAKE_CASE = ""     ,   )					->str:





  """simple docstring"""


  lowerCAmelCase__			:Tuple											=							text.upper()
  lowerCAmelCase__							,				lowerCAmelCase__							,				lowerCAmelCase__			:Tuple											=							_validator(
      _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   plugb.upper()			)

  lowerCAmelCase__							,				lowerCAmelCase__							,				lowerCAmelCase__			:Tuple											=							rotor_position
  lowerCAmelCase__							,				lowerCAmelCase__							,				lowerCAmelCase__			:Union[str, Any]											=							rotor_selection
  rotorposa -= 1
  rotorposa -= 1
  rotorposa -= 1

  lowerCAmelCase__			:Dict											=							[]

  # encryption/decryption process --------------------------
  for symbol in text:
    if symbol in abc:
      # 1st plugboard --------------------------
      if symbol in plugboard:
        lowerCAmelCase__			:Dict											=							plugboard[symbol]

      # rotor ra --------------------------
      lowerCAmelCase__			:Optional[int]											=							abc.index(_SCREAMING_SNAKE_CASE			) + rotorposa
      lowerCAmelCase__			:str											=							rotora[index % len(_SCREAMING_SNAKE_CASE			)]

      # rotor rb --------------------------
      lowerCAmelCase__			:Optional[int]											=							abc.index(_SCREAMING_SNAKE_CASE			) + rotorposa
      lowerCAmelCase__			:int											=							rotora[index % len(_SCREAMING_SNAKE_CASE			)]

      # rotor rc --------------------------
      lowerCAmelCase__			:str											=							abc.index(_SCREAMING_SNAKE_CASE			) + rotorposa
      lowerCAmelCase__			:Optional[Any]											=							rotora[index % len(_SCREAMING_SNAKE_CASE			)]

      # reflector --------------------------
      # this is the reason you don't need another machine to decipher

      lowerCAmelCase__			:str											=							reflector[symbol]

      # 2nd rotors
      lowerCAmelCase__			:Tuple											=							abc[rotora.index(_SCREAMING_SNAKE_CASE			) - rotorposa]
      lowerCAmelCase__			:Optional[int]											=							abc[rotora.index(_SCREAMING_SNAKE_CASE			) - rotorposa]
      lowerCAmelCase__			:Any											=							abc[rotora.index(_SCREAMING_SNAKE_CASE			) - rotorposa]

      # 2nd plugboard
      if symbol in plugboard:
        lowerCAmelCase__			:Union[str, Any]											=							plugboard[symbol]

      # moves/resets rotor positions
      rotorposa += 1
      if rotorposa >= len(_SCREAMING_SNAKE_CASE			):
        lowerCAmelCase__			:str											=							0
        rotorposa += 1
      if rotorposa >= len(_SCREAMING_SNAKE_CASE			):
        lowerCAmelCase__			:List[Any]											=							0
        rotorposa += 1
      if rotorposa >= len(_SCREAMING_SNAKE_CASE			):
        lowerCAmelCase__			:Optional[Any]											=							0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
    result.append(_SCREAMING_SNAKE_CASE			)

  return "".join(_SCREAMING_SNAKE_CASE			)


if __name__ == "__main__":
  __A											=		"""This is my Python script that emulates the Enigma machine from WWII."""
  __A											=		(1, 1, 1)
  __A											=		"""pictures"""
  __A											=		(rotora, rotora, rotora)
  __A											=		enigma(message, rotor_pos, rotor_sel, pb)

  print("""Encrypted message:""", en)
  print("""Decrypted message:""", enigma(en, rotor_pos, rotor_sel, pb))
