

"""simple docstring"""
import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_A							=  logging.get_logger(__name__)

_A							=  {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

_A							=  {
    """vocab_file""": {"""ctrl""": """https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"""},
    """merges_file""": {"""ctrl""": """https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"""},
}

_A							=  {
    """ctrl""": 2_56,
}

_A							=  {
    """Pregnancy""": 16_86_29,
    """Christianity""": 76_75,
    """Explain""": 10_64_23,
    """Fitness""": 6_34_40,
    """Saving""": 6_31_63,
    """Ask""": 2_71_71,
    """Ass""": 9_59_85,
    """Joke""": 16_35_09,
    """Questions""": 4_56_22,
    """Thoughts""": 4_96_05,
    """Retail""": 5_23_42,
    """Feminism""": 16_43_38,
    """Writing""": 1_19_92,
    """Atheism""": 19_22_63,
    """Netflix""": 4_86_16,
    """Computing""": 3_96_39,
    """Opinion""": 4_32_13,
    """Alone""": 4_49_67,
    """Funny""": 5_89_17,
    """Gaming""": 4_03_58,
    """Human""": 40_88,
    """India""": 13_31,
    """Joker""": 7_71_38,
    """Diet""": 3_62_06,
    """Legal""": 1_18_59,
    """Norman""": 49_39,
    """Tip""": 7_26_89,
    """Weight""": 5_23_43,
    """Movies""": 4_62_73,
    """Running""": 2_34_25,
    """Science""": 20_90,
    """Horror""": 3_77_93,
    """Confession""": 6_05_72,
    """Finance""": 1_22_50,
    """Politics""": 1_63_60,
    """Scary""": 19_19_85,
    """Support""": 1_26_54,
    """Technologies""": 3_25_16,
    """Teenage""": 6_61_60,
    """Event""": 3_27_69,
    """Learned""": 6_74_60,
    """Notion""": 18_27_70,
    """Wikipedia""": 3_75_83,
    """Books""": 66_65,
    """Extract""": 7_60_50,
    """Confessions""": 10_27_01,
    """Conspiracy""": 7_59_32,
    """Links""": 6_36_74,
    """Narcissus""": 15_04_25,
    """Relationship""": 5_47_66,
    """Relationships""": 13_47_96,
    """Reviews""": 4_16_71,
    """News""": 42_56,
    """Translation""": 2_68_20,
    """multilingual""": 12_84_06,
}




def 					a__						(						lowerCAmelCase    )	-> Optional[int]:
      UpperCAmelCase__			:							Union[str, Any]							=    set()
      UpperCAmelCase__			:							Optional[int]							=    word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)    )
            UpperCAmelCase__			:							Tuple							=    char

      UpperCAmelCase__			:							Union[str, Any]							=    set(lowerCAmelCase    )
      return pairs





class       lowerCamelCase	(       lowerCAmelCase__   ):


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE					      =  PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE					      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE					      =  CONTROL_CODES



  def __init__(self							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase="<unk>"							,       **_lowerCamelCase	):


        """simple docstring"""

        super().__init__(unk_token=_lowerCamelCase							,       **_lowerCamelCase	)

        with open(_lowerCamelCase							,       encoding="""utf-8"""	) as vocab_handle:
              UpperCAmelCase__			:							Optional[Any]							=    json.load(_lowerCamelCase	)
        UpperCAmelCase__			:							List[Any]							=    {v: k for k, v in self.encoder.items()}
        with open(_lowerCamelCase							,       encoding="""utf-8"""	) as merges_handle:
              UpperCAmelCase__			:							List[str]							=    merges_handle.read().split("""\n"""	)[1:-1]
        UpperCAmelCase__			:							List[Any]							=    [tuple(merge.split()	) for merge in merges]
        UpperCAmelCase__			:							int							=    dict(zip(_lowerCamelCase							,       range(len(_lowerCamelCase	)	)	)	)
        UpperCAmelCase__			:							List[Any]							=    {}



  @property
  def  _a      (self	):


        """simple docstring"""

        return len(self.encoder	)



  def  _a      (self	):


        """simple docstring"""

        return dict(self.encoder							,       **self.added_tokens_encoder	)



  def  _a      (self							,       _lowerCamelCase	):


        """simple docstring"""

        if token in self.cache:
              return self.cache[token]
        UpperCAmelCase__			:							Tuple							=    tuple(_lowerCamelCase	)
        UpperCAmelCase__			:							Optional[int]							=    tuple(list(word[:-1]	) + [word[-1] + """</w>"""]	)
        UpperCAmelCase__			:							List[str]							=    get_pairs(_lowerCamelCase	)

        if not pairs:
              return token

        while True:
              UpperCAmelCase__			:							Optional[int]							=    min(_lowerCamelCase							,       key=lambda _lowerCamelCase	: self.bpe_ranks.get(_lowerCamelCase							,       float("""inf"""	)	)	)
              if bigram not in self.bpe_ranks:
                    break
              UpperCAmelCase__					,		UpperCAmelCase__			:							int							=    bigram
              UpperCAmelCase__			:							List[Any]							=    []
              UpperCAmelCase__			:							Optional[Any]							=    0
              while i < len(_lowerCamelCase	):
                    try:
                          UpperCAmelCase__			:							List[Any]							=    word.index(_lowerCamelCase							,       _lowerCamelCase	)
                    except ValueError:
                          new_word.extend(word[i:]	)
                          break
                    else:
                          new_word.extend(word[i:j]	)
                          UpperCAmelCase__			:							Optional[Any]							=    j

                    if word[i] == first and i < len(_lowerCamelCase	) - 1 and word[i + 1] == second:
                          new_word.append(first + second	)
                          i += 2
                    else:
                          new_word.append(word[i]	)
                          i += 1
              UpperCAmelCase__			:							List[str]							=    tuple(_lowerCamelCase	)
              UpperCAmelCase__			:							Optional[int]							=    new_word
              if len(_lowerCamelCase	) == 1:
                    break
              else:
                    UpperCAmelCase__			:							List[Any]							=    get_pairs(_lowerCamelCase	)
        UpperCAmelCase__			:							Tuple							=    """@@ """.join(_lowerCamelCase	)
        UpperCAmelCase__			:							List[str]							=    word[:-4]
        UpperCAmelCase__			:							Dict							=    word
        return word



  def  _a      (self							,       _lowerCamelCase	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    []

        UpperCAmelCase__			:							int							=    re.findall(r"""\S+\n?"""							,       _lowerCamelCase	)

        for token in words:
              split_tokens.extend(list(self.bpe(_lowerCamelCase	).split(""" """	)	)	)
        return split_tokens



  def  _a      (self							,       _lowerCamelCase	):


        """simple docstring"""

        return self.encoder.get(_lowerCamelCase							,       self.encoder.get(self.unk_token	)	)



  def  _a      (self							,       _lowerCamelCase	):


        """simple docstring"""

        return self.decoder.get(_lowerCamelCase							,       self.unk_token	)



  def  _a      (self							,       _lowerCamelCase	):


        """simple docstring"""

        UpperCAmelCase__			:							List[Any]							=    """ """.join(_lowerCamelCase	).replace("""@@ """							,       """"""	).strip()
        return out_string




  def  _a      (self							,       _lowerCamelCase							,       _lowerCamelCase = None	):


        """simple docstring"""

        if not os.path.isdir(_lowerCamelCase	):
              logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""	)
              return
        UpperCAmelCase__			:							Tuple							=    os.path.join(
            _lowerCamelCase							,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]	)
        UpperCAmelCase__			:							Dict							=    os.path.join(
            _lowerCamelCase							,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]	)

        with open(_lowerCamelCase							,       """w"""							,       encoding="""utf-8"""	) as f:
              f.write(json.dumps(self.encoder							,       indent=2							,       sort_keys=_lowerCamelCase							,       ensure_ascii=_lowerCamelCase	) + """\n"""	)

        UpperCAmelCase__			:							List[str]							=    0
        with open(_lowerCamelCase							,       """w"""							,       encoding="""utf-8"""	) as writer:
              writer.write("""#version: 0.2\n"""	)
              for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							,       key=lambda _lowerCamelCase	: kv[1]	):
                    if index != token_index:
                          logger.warning(
                              F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                              """ Please check that the tokenizer is not corrupted!"""	)
                          UpperCAmelCase__			:							Optional[int]							=    token_index
                    writer.write(""" """.join(_lowerCamelCase	) + """\n"""	)
                    index += 1

        return vocab_file, merge_file

  # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
  #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
  #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
  #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
  #     return ''.join(tokens_generated_so_far)




"""simple docstring"""
import cmath
import math




def 					a__						(						lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase    )	-> complex:
      UpperCAmelCase__			:							str							=    math.radians(lowerCAmelCase    )
      UpperCAmelCase__			:							Optional[int]							=    math.radians(lowerCAmelCase    )

      # Convert voltage and current to rectangular form
      UpperCAmelCase__			:							Union[str, Any]							=    cmath.rect(lowerCAmelCase			,	lowerCAmelCase    )
      UpperCAmelCase__			:							List[str]							=    cmath.rect(lowerCAmelCase			,	lowerCAmelCase    )

      # Calculate apparent power
      return voltage_rect * current_rect


if __name__ == "__main__":
    import doctest

    doctest.testmod()

