






'''simple docstring'''







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

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


__A   :							List[str]     	=						logging.get_logger(__name__)

__A   :							Optional[Any]     	=						{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

__A   :							str     	=						{
    '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'},
}

__A   :							Tuple     	=						{
    'microsoft/biogpt': 1_0_2_4,
}


def     _UpperCamelCase				(  snake_case__				):
      __A		 =   set()
      __A		 =   word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)				)
            __A		 =   char
      return pairs






class        a__     (      lowerCamelCase    ):
     '''simple docstring'''







     _snake_case							   =	VOCAB_FILES_NAMES
     _snake_case							   =	PRETRAINED_VOCAB_FILES_MAP
     _snake_case							   =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _snake_case							   =	['input_ids', 'attention_mask']






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

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

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






     @property
     def      _UpperCamelCase (self     :						Optional[Any]       )	->							int:
           return len(self.encoder       )






     def      _UpperCamelCase (self     :						Any       )	->							int:
           return dict(self.encoder					,					**self.added_tokens_encoder       )






     def      _UpperCamelCase (self     :						List[Any]					,					lowercase__     :						Optional[int]					,					lowercase__     :						Union[str, Any]       )	->							Optional[Any]:
           if lang not in self.cache_moses_tokenizer:
                 __A		 =   self.sm.MosesTokenizer(lang=lowercase__       )
                 __A		 =   moses_tokenizer
           return self.cache_moses_tokenizer[lang].tokenize(
               lowercase__					,					aggressive_dash_splits=lowercase__					,					return_str=lowercase__					,					escape=lowercase__       )






     def      _UpperCamelCase (self     :						str					,					lowercase__     :						int					,					lowercase__     :						Any       )	->							Tuple:
           if lang not in self.cache_moses_detokenizer:
                 __A		 =   self.sm.MosesDetokenizer(lang=lowercase__       )
                 __A		 =   moses_detokenizer
           return self.cache_moses_detokenizer[lang].detokenize(lowercase__       )






     def      _UpperCamelCase (self     :						List[Any]					,					lowercase__     :						str       )	->							Union[str, Any]:
           __A		 =   tuple(token[:-1]       ) + (token[-1] + "</w>",)
           if token in self.cache:
                 return self.cache[token]
           __A		 =   get_pairs(lowercase__       )

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

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

                       if word[i] == first and i < len(lowercase__       ) - 1 and word[i + 1] == second:
                             new_word.append(first + second       )
                             i += 2
                       else:
                             new_word.append(word[i]       )
                             i += 1
                 __A		 =   tuple(lowercase__       )
                 __A		 =   new_word
                 if len(lowercase__       ) == 1:
                       break
                 else:
                       __A		 =   get_pairs(lowercase__       )
           __A		 =   " ".join(lowercase__       )
           if word == "\n  </w>":
                 __A		 =   "\n</w>"
           __A		 =   word
           return word






     def      _UpperCamelCase (self     :						Any					,					lowercase__     :						Any					,					lowercase__     :						List[str]=False       )	->							Dict:
           if bypass_tokenizer:
                 __A		 =   text.split()
           else:
                 __A		 =   self.moses_tokenize(lowercase__					,					self.lang       )

           __A		 =   []
           for token in text:
                 if token:
                       split_tokens.extend(list(self.bpe(lowercase__       ).split(" "       )       )       )

           return split_tokens






     def      _UpperCamelCase (self     :						Optional[Any]					,					lowercase__     :						int       )	->							List[str]:
           return self.encoder.get(lowercase__					,					self.encoder.get(self.unk_token       )       )






     def      _UpperCamelCase (self     :						Optional[int]					,					lowercase__     :						Optional[Any]       )	->							str:
           return self.decoder.get(lowercase__					,					self.unk_token       )






     def      _UpperCamelCase (self     :						Tuple					,					lowercase__     :						Optional[Any]       )	->							Union[str, Any]:
           __A		 =   [t.replace(" "					,					""       ).replace("</w>"					,					" "       ) for t in tokens]
           __A		 =   "".join(lowercase__       ).split()
           # detokenize
           __A		 =   self.moses_detokenize(lowercase__					,					self.lang       )
           return text






     def      _UpperCamelCase (self     :						str					,					lowercase__     :						List[int]					,					lowercase__     :						Optional[List[int]] = None       )	->							List[int]:
           if token_ids_a is None:
                 return [self.sep_token_id] + token_ids_a
           __A		 =   [self.sep_token_id]
           return sep + token_ids_a + sep + token_ids_a






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






     def      _UpperCamelCase (self     :						Union[str, Any]					,					lowercase__     :						List[int]					,					lowercase__     :						Optional[List[int]] = None       )	->							List[int]:
           __A		 =   [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      _UpperCamelCase (self     :						Union[str, Any]					,					lowercase__     :						str					,					lowercase__     :						Optional[str] = None       )	->							Tuple[str]:
           if not os.path.isdir(lowercase__       ):
                 logger.error(f"Vocabulary path ({save_directory}) should be a directory"       )
                 return
           __A		 =   os.path.join(
               lowercase__					,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]       )
           __A		 =   os.path.join(
               lowercase__					,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]       )

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

           __A		 =   0
           with open(lowercase__					,					"w"					,					encoding="utf-8"       ) as writer:
                 for bpe_tokens, token_index in sorted(self.bpe_ranks.items()					,					key=lambda lowercase__       : 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!"       )
                             __A		 =   token_index
                       writer.write(" ".join(lowercase__       ) + "\n"       )
                       index += 1

           return vocab_file, merge_file






     def __getstate__(self     :						Tuple       )	->							Dict:
           __A		 =   self.__dict__.copy()
           __A		 =   None
           return state






     def __setstate__(self     :						Optional[int]					,					lowercase__     :						Any       )	->							Any:
           __A		 =   d

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

           __A		 =   sacremoses










'''simple docstring'''







from __future__ import annotations


def     _UpperCamelCase				(  snake_case__				):
      __A		 =   [0] * len(snake_case__				)
      for i in range(1				,      len(snake_case__				)				):
            __A		 =   duration_times[i - 1] + waiting_times[i - 1]
      return waiting_times


def     _UpperCamelCase				(  snake_case__				,      snake_case__				):
      return [
          duration_time + waiting_times[i]
          for i, duration_time in enumerate(snake_case__				)
      ]


def     _UpperCamelCase				(  snake_case__				):
      return sum(snake_case__				) / len(snake_case__				)


def     _UpperCamelCase				(  snake_case__				):
      return sum(snake_case__				) / len(snake_case__				)


if __name__ == "__main__":
       # process id's
       __A   :							List[str]     	=						[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
       __A   :							List[Any]     	=						[1_9, 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
       __A   :							Dict     	=						calculate_waiting_times(duration_times)
       __A   :							Optional[int]     	=						calculate_turnaround_times(duration_times, waiting_times)

       # get the average times
       __A   :							Dict     	=						calculate_average_waiting_time(waiting_times)
       __A   :							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}""")


