
from __future__ import annotations

UpperCamelCase     :    str       =			tuple[int, int, int]
UpperCamelCase     :    Optional[Any]       =			tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
UpperCamelCase     :    Optional[Any]       =			'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# -------------------------- default selection --------------------------
# rotors --------------------------
UpperCamelCase     :    Optional[Any]       =			'EGZWVONAHDCLFQMSIPJBYUKXTR'
UpperCamelCase     :    Tuple       =			'FOBHMDKEXQNRAULPGSJVTYICZW'
UpperCamelCase     :    Optional[int]       =			'ZJXESIUQLHAVRMDOYGTNFWPBKC'
# reflector --------------------------
UpperCamelCase     :    int       =			{
    '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 --------------------------
UpperCamelCase     :    List[str]       =			'RMDJXFUWGISLHVTCQNKYPBEZOA'
UpperCamelCase     :    Dict       =			'SGLCPQWZHKXAREONTFBVIYJUDM'
UpperCamelCase     :    str       =			'HVSICLTYKQUBXDWAJZOMFGPREN'
UpperCamelCase     :    List[Any]       =			'RZWQHFMVDBKICJLNTUXAGYPSOE'
UpperCamelCase     :    Union[str, Any]       =			'LFKIJODBEGAMQPXVUHYSTCZRWN'
UpperCamelCase     :    List[str]       =			'KOAEGVDHXPQZMLFTYWJNBRCIUS'






def 							A						(    snake_case				:RotorPositionT    , snake_case				:RotorSelectionT    , snake_case				:str		)				->     List[Any]:


 if (unique_rotsel := len(set(lowerCAmelCase__		)		)) < 3:
  __UpperCamelCase      =	f'Please use 3 unique rotors (not {unique_rotsel})'
  raise Exception(lowerCAmelCase__		)

 # Checks if rotor positions are valid
 __UpperCamelCase      =	rotpos
 if not 0 < rotorposa <= len(lowerCAmelCase__		):
  __UpperCamelCase      =	f'First rotor position is not within range of 1..26 ({rotorposa}'
  raise ValueError(lowerCAmelCase__		)
 if not 0 < rotorposa <= len(lowerCAmelCase__		):
  __UpperCamelCase      =	f'Second rotor position is not within range of 1..26 ({rotorposa})'
  raise ValueError(lowerCAmelCase__		)
 if not 0 < rotorposa <= len(lowerCAmelCase__		):
  __UpperCamelCase      =	f'Third rotor position is not within range of 1..26 ({rotorposa})'
  raise ValueError(lowerCAmelCase__		)

 # Validates string and returns dict
 __UpperCamelCase      =	_plugboard(lowerCAmelCase__		)

 return rotpos, rotsel, pbdict






def 							A						(    snake_case				:str		)				->     Dict:


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

 pbstring.replace(' '    , ''		)

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

 # Created the dictionary
 __UpperCamelCase      =	{}
 for j in range(0    , len(lowerCAmelCase__		) - 1    , 2		):
  __UpperCamelCase      =	pbstring[j + 1]
  __UpperCamelCase      =	pbstring[j]

 return pb






def 							A						(    snake_case				:str    , snake_case				:RotorPositionT    , snake_case				:RotorSelectionT = (rotora, rotora, rotora)    , snake_case				:str = ""    , )				->     Union[str, Any]:
 __UpperCamelCase      =	text.upper()
 __UpperCamelCase      =	_validator(
     lowerCAmelCase__    , lowerCAmelCase__    , plugb.upper()		)

 __UpperCamelCase      =	rotor_position
 __UpperCamelCase      =	rotor_selection
 rotorposa -= 1
 rotorposa -= 1
 rotorposa -= 1

 __UpperCamelCase      =	[]

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

   # rotor ra --------------------------
   __UpperCamelCase      =	abc.index(lowerCAmelCase__		) + rotorposa
   __UpperCamelCase      =	rotora[index % len(lowerCAmelCase__		)]

   # rotor rb --------------------------
   __UpperCamelCase      =	abc.index(lowerCAmelCase__		) + rotorposa
   __UpperCamelCase      =	rotora[index % len(lowerCAmelCase__		)]

   # rotor rc --------------------------
   __UpperCamelCase      =	abc.index(lowerCAmelCase__		) + rotorposa
   __UpperCamelCase      =	rotora[index % len(lowerCAmelCase__		)]

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

   __UpperCamelCase      =	reflector[symbol]

   # 2nd rotors
   __UpperCamelCase      =	abc[rotora.index(lowerCAmelCase__		) - rotorposa]
   __UpperCamelCase      =	abc[rotora.index(lowerCAmelCase__		) - rotorposa]
   __UpperCamelCase      =	abc[rotora.index(lowerCAmelCase__		) - rotorposa]

   # 2nd plugboard
   if symbol in plugboard:
    __UpperCamelCase      =	plugboard[symbol]

   # moves/resets rotor positions
   rotorposa += 1
   if rotorposa >= len(lowerCAmelCase__		):
    __UpperCamelCase      =	0
    rotorposa += 1
   if rotorposa >= len(lowerCAmelCase__		):
    __UpperCamelCase      =	0
    rotorposa += 1
   if rotorposa >= len(lowerCAmelCase__		):
    __UpperCamelCase      =	0

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

 return "".join(lowerCAmelCase__		)


if __name__ == "__main__":
      UpperCamelCase     :    Tuple       =			'This is my Python script that emulates the Enigma machine from WWII.'
      UpperCamelCase     :    str       =			(1, 1, 1)
      UpperCamelCase     :    Dict       =			'pictures'
      UpperCamelCase     :    List[str]       =			(rotora, rotora, rotora)
      UpperCamelCase     :    str       =			enigma(message, rotor_pos, rotor_sel, pb)

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





"""simple docstring"""

import json
import re
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
      if is_torch_available():
            import torch
      if is_tf_available():
            import tensorflow as tf

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_codegen import CodeGenTokenizer


UpperCamelCase     :    List[Any]       =			logging.get_logger(__name__)

UpperCamelCase     :    List[str]       =			{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

UpperCamelCase     :    List[Any]       =			{
    "vocab_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json",
    },
    "merges_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "Salesforce/codegen-350M-mono": (
            "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/tokenizer.json"
        ),
    },
}

UpperCamelCase     :    List[Any]       =			{
    "Salesforce/codegen-350M-mono": 2_0_4_8,
}

class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):
     lowercase						       =						VOCAB_FILES_NAMES
     lowercase						       =						PRETRAINED_VOCAB_FILES_MAP
     lowercase						       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowercase						       =						["input_ids", "attention_mask"]
     lowercase						       =						CodeGenTokenizer





     def __init__(     self     ,					__UpperCAmelCase=None     ,					__UpperCAmelCase=None     ,					__UpperCAmelCase=None     ,					__UpperCAmelCase="<|endoftext|>"     ,					__UpperCAmelCase="<|endoftext|>"     ,					__UpperCAmelCase="<|endoftext|>"     ,					__UpperCAmelCase=False     ,					**__UpperCAmelCase     ,					):

      '''simple docstring'''




      super().__init__(
          __UpperCAmelCase     ,					__UpperCAmelCase     ,					tokenizer_file=__UpperCAmelCase     ,					unk_token=__UpperCAmelCase     ,					bos_token=__UpperCAmelCase     ,					eos_token=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase     ,					**__UpperCAmelCase     ,					)

      if kwargs.pop('add_bos_token'     ,					__UpperCAmelCase				):
       __UpperCamelCase      =	kwargs.pop('name_or_path'     ,					''				)
       raise ValueError(
           'Currenty GPT2\'s fast tokenizer does NOT support adding a BOS token.'
           'Instead you should use GPT2\'s slow tokenizer class `CodeGenTokenizer` as follows: \n'
           F'`CodeGenTokenizer.from_pretrained(\'{model_id}\')`\nor\n'
           F'`AutoTokenizer.from_pretrained(\'{model_id}\', use_fast=False)`\n'
           'This issue will be fixed soon, see: https://github.com/huggingface/tokenizers/pull/1005.'
           ' so that the fast tokenizer works correctly.'				)

      __UpperCamelCase      =	json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
      if pre_tok_state.get('add_prefix_space'     ,					__UpperCAmelCase				) != add_prefix_space:
       __UpperCamelCase      =	getattr(__UpperCAmelCase     ,					pre_tok_state.pop('type'				)				)
       __UpperCamelCase      =	add_prefix_space
       __UpperCamelCase      =	pre_tok_class(**__UpperCAmelCase				)

      __UpperCamelCase      =	add_prefix_space





     def 						UpperCAmelCase (     self     ,					*__UpperCAmelCase     ,					**__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	kwargs.get('is_split_into_words'     ,					__UpperCAmelCase				)
      assert self.add_prefix_space or not is_split_into_words, (
          F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
          "to use it with pretokenized inputs."
      )

      return super()._batch_encode_plus(*__UpperCAmelCase     ,					**__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					*__UpperCAmelCase     ,					**__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	kwargs.get('is_split_into_words'     ,					__UpperCAmelCase				)

      assert self.add_prefix_space or not is_split_into_words, (
          F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
          "to use it with pretokenized inputs."
      )

      return super()._encode_plus(*__UpperCAmelCase     ,					**__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None				):

      '''simple docstring'''




      __UpperCamelCase      =	self._tokenizer.model.save(__UpperCAmelCase     ,					name=__UpperCAmelCase				)
      return tuple(__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = False     ,					__UpperCAmelCase = None     ,					__UpperCAmelCase = None     ,					**__UpperCAmelCase     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	super().decode(
          token_ids=__UpperCAmelCase     ,					skip_special_tokens=__UpperCAmelCase     ,					clean_up_tokenization_spaces=__UpperCAmelCase     ,					**__UpperCAmelCase     ,					)

      if truncate_before_pattern is not None and len(__UpperCAmelCase				) > 0:
       __UpperCamelCase      =	self.truncate(__UpperCAmelCase     ,					__UpperCAmelCase				)

      return decoded_text







     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase				):

      '''simple docstring'''




      def find_re(__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase				):
       __UpperCamelCase      =	pattern.search(__UpperCAmelCase     ,					__UpperCAmelCase				)
       return m.start() if m else -1

      __UpperCamelCase      =	[re.compile(__UpperCAmelCase     ,					re.MULTILINE				) for pattern in truncate_before_pattern]

      __UpperCamelCase      =	list(re.finditer('^print'     ,					__UpperCAmelCase     ,					re.MULTILINE				)				)

      if len(__UpperCAmelCase				) > 1:
       __UpperCamelCase      =	completion[: prints[1].start()]

      __UpperCamelCase      =	list(re.finditer('^def'     ,					__UpperCAmelCase     ,					re.MULTILINE				)				)

      if len(__UpperCAmelCase				) > 1:
       __UpperCamelCase      =	completion[: defs[1].start()]

      __UpperCamelCase      =	0

      __UpperCamelCase      =	[
          pos for pos in [find_re(__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase				) for terminal in terminals] if pos != -1
      ]

      if len(__UpperCAmelCase				) > 0:
       return completion[: min(__UpperCAmelCase				)]
      else:
       return completion



