




import json
import os
from typing import List, Optional, Tuple

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


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

lowerCamelCase__				:     Tuple			       =							{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

lowerCamelCase__				:     Optional[Any]			       =							{
    'vocab_file': {
        'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json',
    },
    'merges_file': {'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt'},
}

lowerCamelCase__				:     Tuple			       =							{
    'microsoft/biogpt': 1_024,
}

def       UpperCAmelCase_							(   __UpperCAmelCase		:			List[Any]							)      ->				List[str]:
      SCREAMING_SNAKE_CASE_					=    set()
      SCREAMING_SNAKE_CASE_					=    word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            SCREAMING_SNAKE_CASE_					=    char
      return pairs





class  lowerCamelCase_							(   _SCREAMING_SNAKE_CASE      ):


 '''simple docstring'''







 lowercase_       					=					VOCAB_FILES_NAMES
 lowercase_       					=					PRETRAINED_VOCAB_FILES_MAP
 lowercase_       					=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_       					=					["input_ids", "attention_mask"]



 def __init__(							self						:	List[str]       ,       _lowerCAmelCase						:	str       ,       _lowerCAmelCase						:	Union[str, Any]       ,       _lowerCAmelCase						:	List[str]="<unk>"       ,       _lowerCAmelCase						:	List[Any]="<s>"       ,       _lowerCAmelCase						:	int="</s>"       ,       _lowerCAmelCase						:	Optional[Any]="</s>"       ,       _lowerCAmelCase						:	Union[str, Any]="<pad>"       ,       **_lowerCAmelCase						:	Tuple       ,       ):
       super().__init__(
           bos_token=_lowerCAmelCase       ,       eos_token=_lowerCAmelCase       ,       sep_token=_lowerCAmelCase       ,       unk_token=_lowerCAmelCase       ,       pad_token=_lowerCAmelCase       ,       **_lowerCAmelCase       ,       )

       try:
             import sacremoses
       except ImportError:
             raise ImportError(
                 'You need to install sacremoses to use BioGptTokenizer. '
                 'See https://pypi.org/project/sacremoses/ for installation.'		)

       SCREAMING_SNAKE_CASE_					=    'en'
       SCREAMING_SNAKE_CASE_					=    sacremoses
       # cache of sm.MosesTokenizer instance
       SCREAMING_SNAKE_CASE_					=    {}
       SCREAMING_SNAKE_CASE_					=    {}
       with open(_lowerCAmelCase       ,       encoding='utf-8'		) as vocab_handle:
             SCREAMING_SNAKE_CASE_					=    json.load(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    {v: k for k, v in self.encoder.items()}
       with open(_lowerCAmelCase       ,       encoding='utf-8'		) as merges_handle:
             SCREAMING_SNAKE_CASE_					=    merges_handle.read().split('\n'		)[:-1]
       SCREAMING_SNAKE_CASE_					=    [tuple(merge.split()[:2]		) for merge in merges]
       SCREAMING_SNAKE_CASE_					=    dict(zip(_lowerCAmelCase       ,       range(len(_lowerCAmelCase		)		)		)		)
       SCREAMING_SNAKE_CASE_					=    {}



 @property
 def    lowerCAmelCase_						(							self						:	List[Any]		):
       return len(self.encoder		)



 def    lowerCAmelCase_						(							self						:	Tuple		):
       return dict(self.encoder       ,       **self.added_tokens_encoder		)



 def    lowerCAmelCase_						(							self						:	List[str]       ,       _lowerCAmelCase						:	Any       ,       _lowerCAmelCase						:	str		):
       if lang not in self.cache_moses_tokenizer:
             SCREAMING_SNAKE_CASE_					=    self.sm.MosesTokenizer(lang=_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_					=    moses_tokenizer
       return self.cache_moses_tokenizer[lang].tokenize(
           _lowerCAmelCase       ,       aggressive_dash_splits=_lowerCAmelCase       ,       return_str=_lowerCAmelCase       ,       escape=_lowerCAmelCase		)



 def    lowerCAmelCase_						(							self						:	str       ,       _lowerCAmelCase						:	Union[str, Any]       ,       _lowerCAmelCase						:	Tuple		):
       if lang not in self.cache_moses_detokenizer:
             SCREAMING_SNAKE_CASE_					=    self.sm.MosesDetokenizer(lang=_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_					=    moses_detokenizer
       return self.cache_moses_detokenizer[lang].detokenize(_lowerCAmelCase		)



 def    lowerCAmelCase_						(							self						:	List[Any]       ,       _lowerCAmelCase						:	int		):
       SCREAMING_SNAKE_CASE_					=    tuple(token[:-1]		) + (token[-1] + '</w>',)
       if token in self.cache:
             return self.cache[token]
       SCREAMING_SNAKE_CASE_					=    get_pairs(_lowerCAmelCase		)

       if not pairs:
             return token + "</w>"

       while True:
             SCREAMING_SNAKE_CASE_					=    min(_lowerCAmelCase       ,       key=lambda _lowerCAmelCase		: self.bpe_ranks.get(_lowerCAmelCase       ,       float('inf'		)		)		)
             if bigram not in self.bpe_ranks:
                   break
             SCREAMING_SNAKE_CASE_		,				SCREAMING_SNAKE_CASE_					=    bigram
             SCREAMING_SNAKE_CASE_					=    []
             SCREAMING_SNAKE_CASE_					=    0
             while i < len(_lowerCAmelCase		):
                   try:
                         SCREAMING_SNAKE_CASE_					=    word.index(_lowerCAmelCase       ,       _lowerCAmelCase		)
                   except ValueError:
                         new_word.extend(word[i:]		)
                         break
                   else:
                         new_word.extend(word[i:j]		)
                         SCREAMING_SNAKE_CASE_					=    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
             SCREAMING_SNAKE_CASE_					=    tuple(_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_					=    new_word
             if len(_lowerCAmelCase		) == 1:
                   break
             else:
                   SCREAMING_SNAKE_CASE_					=    get_pairs(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    ' '.join(_lowerCAmelCase		)
       if word == "\n  </w>":
             SCREAMING_SNAKE_CASE_					=    '\n</w>'
       SCREAMING_SNAKE_CASE_					=    word
       return word



 def    lowerCAmelCase_						(							self						:	int       ,       _lowerCAmelCase						:	Dict       ,       _lowerCAmelCase						:	int=False		):
       if bypass_tokenizer:
             SCREAMING_SNAKE_CASE_					=    text.split()
       else:
             SCREAMING_SNAKE_CASE_					=    self.moses_tokenize(_lowerCAmelCase       ,       self.lang		)

       SCREAMING_SNAKE_CASE_					=    []
       for token in text:
             if token:
                   split_tokens.extend(list(self.bpe(_lowerCAmelCase		).split(' '		)		)		)

       return split_tokens



 def    lowerCAmelCase_						(							self						:	Any       ,       _lowerCAmelCase						:	int		):
       return self.encoder.get(_lowerCAmelCase       ,       self.encoder.get(self.unk_token		)		)



 def    lowerCAmelCase_						(							self						:	Union[str, Any]       ,       _lowerCAmelCase						:	int		):
       return self.decoder.get(_lowerCAmelCase       ,       self.unk_token		)



 def    lowerCAmelCase_						(							self						:	Optional[int]       ,       _lowerCAmelCase						:	Any		):
       SCREAMING_SNAKE_CASE_					=    [t.replace(' '       ,       ''		).replace('</w>'       ,       ' '		) for t in tokens]
       SCREAMING_SNAKE_CASE_					=    ''.join(_lowerCAmelCase		).split()
       # detokenize
       SCREAMING_SNAKE_CASE_					=    self.moses_detokenize(_lowerCAmelCase       ,       self.lang		)
       return text



 def    lowerCAmelCase_						(							self						:	List[Any]       ,       _lowerCAmelCase						:	List[int]       ,       _lowerCAmelCase						:	Optional[List[int]] = None		):
       if token_ids_a is None:
             return [self.sep_token_id] + token_ids_a
       SCREAMING_SNAKE_CASE_					=    [self.sep_token_id]
       return sep + token_ids_a + sep + token_ids_a



 def    lowerCAmelCase_						(							self						:	int       ,       _lowerCAmelCase						:	List[int]       ,       _lowerCAmelCase						:	Optional[List[int]] = None       ,       _lowerCAmelCase						:	bool = False		):
       if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=_lowerCAmelCase       ,       token_ids_a=_lowerCAmelCase       ,       already_has_special_tokens=_lowerCAmelCase		)
       # no bos used in fairseq
       if token_ids_a is not None:
             return [1] + ([0] * len(_lowerCAmelCase		)) + [1] + ([0] * len(_lowerCAmelCase		))
       return [1] + ([0] * len(_lowerCAmelCase		))



 def    lowerCAmelCase_						(							self						:	int       ,       _lowerCAmelCase						:	List[int]       ,       _lowerCAmelCase						:	Optional[List[int]] = None		):
       SCREAMING_SNAKE_CASE_					=    [self.sep_token_id]

       # no bos used in fairseq
       if token_ids_a is None:
             return len(token_ids_a + sep		) * [0]
       return len(token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]



 def    lowerCAmelCase_						(							self						:	List[str]       ,       _lowerCAmelCase						:	str       ,       _lowerCAmelCase						:	Optional[str] = None		):
       if not os.path.isdir(_lowerCAmelCase		):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"		)
             return
       SCREAMING_SNAKE_CASE_					=    os.path.join(
           _lowerCAmelCase       ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
       SCREAMING_SNAKE_CASE_					=    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'		)

       SCREAMING_SNAKE_CASE_					=    0
       with open(_lowerCAmelCase       ,       'w'       ,       encoding='utf-8'		) as writer:
             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!'		)
                         SCREAMING_SNAKE_CASE_					=    token_index
                   writer.write(' '.join(_lowerCAmelCase		) + '\n'		)
                   index += 1

       return vocab_file, merge_file



 def __getstate__(							self						:	List[str]		):
       SCREAMING_SNAKE_CASE_					=    self.__dict__.copy()
       SCREAMING_SNAKE_CASE_					=    None
       return state




 def __setstate__(							self						:	Optional[Any]       ,       _lowerCAmelCase						:	Tuple		):
       SCREAMING_SNAKE_CASE_					=    d

       try:
             import sacremoses
       except ImportError:
             raise ImportError(
                 'You need to install sacremoses to use XLMTokenizer. '
                 'See https://pypi.org/project/sacremoses/ for installation.'		)

       SCREAMING_SNAKE_CASE_					=    sacremoses





from __future__ import annotations

def       UpperCAmelCase_							(   __UpperCAmelCase		:			list[int]							)      ->				list[int]:
      SCREAMING_SNAKE_CASE_					=    [0] * len(__UpperCAmelCase							)
      for i in range(1    ,    len(__UpperCAmelCase							)							):
            SCREAMING_SNAKE_CASE_					=    duration_times[i - 1] + waiting_times[i - 1]
      return waiting_times

def       UpperCAmelCase_							(   __UpperCAmelCase		:			list[int]    ,    __UpperCAmelCase		:			list[int]							)      ->				list[int]:
      return [
          duration_time + waiting_times[i]
          for i, duration_time in enumerate(__UpperCAmelCase							)
      ]

def       UpperCAmelCase_							(   __UpperCAmelCase		:			list[int]							)      ->				float:
      return sum(__UpperCAmelCase							) / len(__UpperCAmelCase							)

def       UpperCAmelCase_							(   __UpperCAmelCase		:			list[int]							)      ->				float:
      return sum(__UpperCAmelCase							) / len(__UpperCAmelCase							)


if __name__ == "__main__":
   # process id's
   lowerCamelCase__				:     Union[str, Any]			       =							[1, 2, 3]

   # ensure that we actually have processes
   if len(processes) == 0:
      print('Zero amount of processes')
      raise SystemExit(0)

   # duration time of all processes
   lowerCamelCase__				:     Optional[Any]			       =							[19, 8, 9]

   # ensure we can match each id to a duration time
   if len(duration_times) != len(processes):
      print('Unable to match all id\'s with their duration time')
      raise SystemExit(0)

   # get the waiting times and the turnaround times
   lowerCamelCase__				:     Dict			       =							calculate_waiting_times(duration_times)
   lowerCamelCase__				:     int			       =							calculate_turnaround_times(duration_times, waiting_times)

   # get the average times
   lowerCamelCase__				:     Any			       =							calculate_average_waiting_time(waiting_times)
   lowerCamelCase__				:     Tuple			       =							calculate_average_turnaround_time(turnaround_times)

   # print all the results
   print('Process ID\tDuration Time\tWaiting Time\tTurnaround Time')
   for i, process in enumerate(processes):
      print(
          f'''{process}\t\t{duration_times[i]}\t\t{waiting_times[i]}\t\t'''
          f'''{turnaround_times[i]}'''
      )
   print(f'''Average waiting time = {average_waiting_time}''')
   print(f'''Average turn around time = {average_turnaround_time}''')