



"""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:   int								=		logging.get_logger(__name__)

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

A:   Tuple								=		{
    "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:   Any								=		{
    "ctrl": 2_5_6,
}

A:   Optional[Any]								=		{
    "Pregnancy": 1_6_8_6_2_9,
    "Christianity": 7_6_7_5,
    "Explain": 1_0_6_4_2_3,
    "Fitness": 6_3_4_4_0,
    "Saving": 6_3_1_6_3,
    "Ask": 2_7_1_7_1,
    "Ass": 9_5_9_8_5,
    "Joke": 1_6_3_5_0_9,
    "Questions": 4_5_6_2_2,
    "Thoughts": 4_9_6_0_5,
    "Retail": 5_2_3_4_2,
    "Feminism": 1_6_4_3_3_8,
    "Writing": 1_1_9_9_2,
    "Atheism": 1_9_2_2_6_3,
    "Netflix": 4_8_6_1_6,
    "Computing": 3_9_6_3_9,
    "Opinion": 4_3_2_1_3,
    "Alone": 4_4_9_6_7,
    "Funny": 5_8_9_1_7,
    "Gaming": 4_0_3_5_8,
    "Human": 4_0_8_8,
    "India": 1_3_3_1,
    "Joker": 7_7_1_3_8,
    "Diet": 3_6_2_0_6,
    "Legal": 1_1_8_5_9,
    "Norman": 4_9_3_9,
    "Tip": 7_2_6_8_9,
    "Weight": 5_2_3_4_3,
    "Movies": 4_6_2_7_3,
    "Running": 2_3_4_2_5,
    "Science": 2_0_9_0,
    "Horror": 3_7_7_9_3,
    "Confession": 6_0_5_7_2,
    "Finance": 1_2_2_5_0,
    "Politics": 1_6_3_6_0,
    "Scary": 1_9_1_9_8_5,
    "Support": 1_2_6_5_4,
    "Technologies": 3_2_5_1_6,
    "Teenage": 6_6_1_6_0,
    "Event": 3_2_7_6_9,
    "Learned": 6_7_4_6_0,
    "Notion": 1_8_2_7_7_0,
    "Wikipedia": 3_7_5_8_3,
    "Books": 6_6_6_5,
    "Extract": 7_6_0_5_0,
    "Confessions": 1_0_2_7_0_1,
    "Conspiracy": 7_5_9_3_2,
    "Links": 6_3_6_7_4,
    "Narcissus": 1_5_0_4_2_5,
    "Relationship": 5_4_7_6_6,
    "Relationships": 1_3_4_7_9_6,
    "Reviews": 4_1_6_7_1,
    "News": 4_2_5_6,
    "Translation": 2_6_8_2_0,
    "multilingual": 1_2_8_4_0_6,
}

def       _snake_case						(						UpperCamelCase						:		int						):
 UpperCAmelCase	:					Union[str, Any]	=	set()
 UpperCAmelCase	:					Union[str, Any]	=	word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)						)
  UpperCAmelCase	:					Tuple	=	char

 UpperCAmelCase	:					str	=	set(UpperCamelCase						)
 return pairs



class       SCREAMING_SNAKE_CASE__  (					UpperCAmelCase__ ):
   __lowerCAmelCase  :   str						=						VOCAB_FILES_NAMES
   __lowerCAmelCase  :   int						=						PRETRAINED_VOCAB_FILES_MAP
   __lowerCAmelCase  :   Optional[int]						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __lowerCAmelCase  :   Dict						=						CONTROL_CODES

   def __init__(   self      ,     _SCREAMING_SNAKE_CASE      ,     _SCREAMING_SNAKE_CASE      ,     _SCREAMING_SNAKE_CASE="<unk>"      ,     **_SCREAMING_SNAKE_CASE						)  ->      Tuple:





    '''simple docstring'''




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

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

   @property
   def 	SCREAMING_SNAKE_CASE     (   self						)  ->      Union[str, Any]:





    '''simple docstring'''




    return len(self.encoder						)

   def 	SCREAMING_SNAKE_CASE     (   self						)  ->      Optional[Any]:





    '''simple docstring'''




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

   def 	SCREAMING_SNAKE_CASE     (   self      ,     _SCREAMING_SNAKE_CASE						)  ->      Union[str, Any]:





    '''simple docstring'''




    if token in self.cache:
     return self.cache[token]
    UpperCAmelCase	:					Optional[int]	=	tuple(_SCREAMING_SNAKE_CASE						)
    UpperCAmelCase	:					Any	=	tuple(list(word[:-1]						) + [word[-1] + """</w>"""]						)
    UpperCAmelCase	:					Union[str, Any]	=	get_pairs(_SCREAMING_SNAKE_CASE						)

    if not pairs:
     return token

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

      if word[i] == first and i < len(_SCREAMING_SNAKE_CASE						) - 1 and word[i + 1] == second:
       new_word.append(first + second						)
       i += 2
      else:
       new_word.append(word[i]						)
       i += 1
     UpperCAmelCase	:					Union[str, Any]	=	tuple(_SCREAMING_SNAKE_CASE						)
     UpperCAmelCase	:					Tuple	=	new_word
     if len(_SCREAMING_SNAKE_CASE						) == 1:
      break
     else:
      UpperCAmelCase	:					Tuple	=	get_pairs(_SCREAMING_SNAKE_CASE						)
    UpperCAmelCase	:					Dict	=	"""@@ """.join(_SCREAMING_SNAKE_CASE						)
    UpperCAmelCase	:					Tuple	=	word[:-4]
    UpperCAmelCase	:					Union[str, Any]	=	word
    return word

   def 	SCREAMING_SNAKE_CASE     (   self      ,     _SCREAMING_SNAKE_CASE						)  ->      int:





    '''simple docstring'''




    UpperCAmelCase	:					List[Any]	=	[]

    UpperCAmelCase	:					Optional[Any]	=	re.findall(r"""\S+\n?"""      ,     _SCREAMING_SNAKE_CASE						)

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

   def 	SCREAMING_SNAKE_CASE     (   self      ,     _SCREAMING_SNAKE_CASE						)  ->      Optional[int]:





    '''simple docstring'''




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

   def 	SCREAMING_SNAKE_CASE     (   self      ,     _SCREAMING_SNAKE_CASE						)  ->      Optional[int]:





    '''simple docstring'''




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

   def 	SCREAMING_SNAKE_CASE     (   self      ,     _SCREAMING_SNAKE_CASE						)  ->      Union[str, Any]:





    '''simple docstring'''




    UpperCAmelCase	:					Optional[int]	=	""" """.join(_SCREAMING_SNAKE_CASE						).replace("""@@ """      ,     """"""						).strip()
    return out_string




   def 	SCREAMING_SNAKE_CASE     (   self      ,     _SCREAMING_SNAKE_CASE      ,     _SCREAMING_SNAKE_CASE = None						)  ->      Tuple[str]:





    '''simple docstring'''




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

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

    UpperCAmelCase	:					int	=	0
    with open(_SCREAMING_SNAKE_CASE      ,     """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 _SCREAMING_SNAKE_CASE						: 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	:					Union[str, Any]	=	token_index
      writer.write(""" """.join(_SCREAMING_SNAKE_CASE						) + """\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"""
from collections.abc import Callable

import numpy as np

def       _snake_case						(						UpperCamelCase						:		Callable			,		UpperCamelCase						:		float			,		UpperCamelCase						:		float			,		UpperCamelCase						:		float			,		UpperCamelCase						:		float						):
 UpperCAmelCase	:					Any	=	int(np.ceil((x_end - xa) / step_size						)						)
 UpperCAmelCase	:					Optional[Any]	=	np.zeros((n + 1,)						)
 UpperCAmelCase	:					Optional[int]	=	ya
 UpperCAmelCase	:					int	=	xa

 for k in range(UpperCamelCase						):
  UpperCAmelCase	:					Optional[int]	=	y[k] + step_size * ode_func(UpperCamelCase			,		y[k]						)
  UpperCAmelCase	:					Optional[int]	=	y[k] + (
      (step_size / 2) * (ode_func(UpperCamelCase			,		y[k]						) + ode_func(x + step_size			,		UpperCamelCase						))
  )
  x += step_size

 return y


if __name__ == "__main__":
      import doctest

      doctest.testmod()
