





'''simple docstring'''




import json
import os
from typing import Optional, Tuple

import regex as re

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


__UpperCAmelCase            =       logging.get_logger(__name__)

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

__UpperCAmelCase            =       {
    """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"""},
}

__UpperCAmelCase            =       {
    """ctrl""": 256,
}

__UpperCAmelCase            =       {
    """Pregnancy""": 168629,
    """Christianity""": 7675,
    """Explain""": 106423,
    """Fitness""": 63440,
    """Saving""": 63163,
    """Ask""": 27171,
    """Ass""": 95985,
    """Joke""": 163509,
    """Questions""": 45622,
    """Thoughts""": 49605,
    """Retail""": 52342,
    """Feminism""": 164338,
    """Writing""": 11992,
    """Atheism""": 192263,
    """Netflix""": 48616,
    """Computing""": 39639,
    """Opinion""": 43213,
    """Alone""": 44967,
    """Funny""": 58917,
    """Gaming""": 40358,
    """Human""": 4088,
    """India""": 1331,
    """Joker""": 77138,
    """Diet""": 36206,
    """Legal""": 11859,
    """Norman""": 4939,
    """Tip""": 72689,
    """Weight""": 52343,
    """Movies""": 46273,
    """Running""": 23425,
    """Science""": 2090,
    """Horror""": 37793,
    """Confession""": 60572,
    """Finance""": 12250,
    """Politics""": 16360,
    """Scary""": 191985,
    """Support""": 12654,
    """Technologies""": 32516,
    """Teenage""": 66160,
    """Event""": 32769,
    """Learned""": 67460,
    """Notion""": 182770,
    """Wikipedia""": 37583,
    """Books""": 6665,
    """Extract""": 76050,
    """Confessions""": 102701,
    """Conspiracy""": 75932,
    """Links""": 63674,
    """Narcissus""": 150425,
    """Relationship""": 54766,
    """Relationships""": 134796,
    """Reviews""": 41671,
    """News""": 4256,
    """Translation""": 26820,
    """multilingual""": 128406,
}



def 		__A		(  lowerCamelCase_	):


		"""simple docstring"""



		SCREAMING_SNAKE_CASE :				str		=			set()
		SCREAMING_SNAKE_CASE :				Dict		=			word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)	)
				SCREAMING_SNAKE_CASE :				str		=			char

		SCREAMING_SNAKE_CASE :				int		=			set(lowerCamelCase_	)
		return pairs




class      UpperCamelCase__					(					lowercase_			):




					"""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				:			Optional[int]      ,						lowerCamelCase_				:			List[Any]      ,						lowerCamelCase_				:			int      ,						lowerCamelCase_				:			Optional[Any]="<unk>"      ,						**lowerCamelCase_				:			Optional[Any]						):

							'''simple docstring'''



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

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


					@property
					def lowerCamelCase_			(						self				:			int						):

							'''simple docstring'''



							return len(self.encoder						)


					def lowerCamelCase_			(						self				:			str						):

							'''simple docstring'''



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


					def lowerCamelCase_			(						self				:			Optional[Any]      ,						lowerCamelCase_				:			Optional[int]						):

							'''simple docstring'''



							if token in self.cache:
									return self.cache[token]
							SCREAMING_SNAKE_CASE :				Any		=			tuple(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				int		=			tuple(list(word[:-1]						) + [word[-1] + """</w>"""]						)
							SCREAMING_SNAKE_CASE :				int		=			get_pairs(lowerCamelCase_						)

							if not pairs:
									return token

							while True:
									SCREAMING_SNAKE_CASE :				Dict		=			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 :				Union[str, Any]		=			bigram
									SCREAMING_SNAKE_CASE :				Union[str, Any]		=			[]
									SCREAMING_SNAKE_CASE :				Optional[Any]		=			0
									while i < len(lowerCamelCase_						):
											try:
													SCREAMING_SNAKE_CASE :				str		=			word.index(lowerCamelCase_      ,						lowerCamelCase_						)
											except ValueError:
													new_word.extend(word[i:]						)
													break
											else:
													new_word.extend(word[i:j]						)
													SCREAMING_SNAKE_CASE :				Union[str, 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
									SCREAMING_SNAKE_CASE :				Any		=			tuple(lowerCamelCase_						)
									SCREAMING_SNAKE_CASE :				Dict		=			new_word
									if len(lowerCamelCase_						) == 1:
											break
									else:
											SCREAMING_SNAKE_CASE :				List[str]		=			get_pairs(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				Any		=			"""@@ """.join(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				Dict		=			word[:-4]
							SCREAMING_SNAKE_CASE :				str		=			word
							return word


					def lowerCamelCase_			(						self				:			List[Any]      ,						lowerCamelCase_				:			Union[str, Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				int		=			[]

							SCREAMING_SNAKE_CASE :				Optional[int]		=			re.findall(R"""\S+\n?"""      ,						lowerCamelCase_						)

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


					def lowerCamelCase_			(						self				:			List[str]      ,						lowerCamelCase_				:			str						):

							'''simple docstring'''



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


					def lowerCamelCase_			(						self				:			Optional[int]      ,						lowerCamelCase_				:			Tuple						):

							'''simple docstring'''



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


					def lowerCamelCase_			(						self				:			List[Any]      ,						lowerCamelCase_				:			Optional[int]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Any		=			""" """.join(lowerCamelCase_						).replace("""@@ """      ,						""""""						).strip()
							return out_string



					def lowerCamelCase_			(						self				:			List[Any]      ,						lowerCamelCase_				:			str      ,						lowerCamelCase_				:			Optional[str] = None						):

							'''simple docstring'''



							if not os.path.isdir(lowerCamelCase_						):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
									return
							SCREAMING_SNAKE_CASE :				Dict		=			os.path.join(
							    lowerCamelCase_      ,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)
							SCREAMING_SNAKE_CASE :				Tuple		=			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 :				Optional[Any]		=			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!"""						)
													SCREAMING_SNAKE_CASE :				Any		=			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'''




from __future__ import annotations

from statistics import mean



def 		__A		(  lowerCamelCase_			,			lowerCamelCase_			,			lowerCamelCase_	):


		"""simple docstring"""



		SCREAMING_SNAKE_CASE :				List[Any]		=			[0] * no_of_processes
		SCREAMING_SNAKE_CASE :				int		=			[0] * no_of_processes

		# Initialize remaining_time to waiting_time.

		for i in range(lowerCamelCase_	):
				SCREAMING_SNAKE_CASE :				Optional[int]		=			burst_time[i]
		SCREAMING_SNAKE_CASE :				list[int]		=			[]

		SCREAMING_SNAKE_CASE :				List[str]		=			0
		SCREAMING_SNAKE_CASE :				List[Any]		=			0

		# When processes are not completed,
		# A process whose arrival time has passed \
		# and has remaining execution time is put into the ready_process.
		# The shortest process in the ready_process, target_process is executed.

		while completed != no_of_processes:
				SCREAMING_SNAKE_CASE :				Optional[int]		=			[]
				SCREAMING_SNAKE_CASE :				Any		=			-1

				for i in range(lowerCamelCase_	):
						if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
								ready_process.append(lowerCamelCase_	)

				if len(lowerCamelCase_	) > 0:
						SCREAMING_SNAKE_CASE :				Union[str, Any]		=			ready_process[0]
						for i in ready_process:
								if remaining_time[i] < remaining_time[target_process]:
										SCREAMING_SNAKE_CASE :				Any		=			i
						total_time += burst_time[target_process]
						completed += 1
						SCREAMING_SNAKE_CASE :				Any		=			0
						SCREAMING_SNAKE_CASE :				Optional[int]		=			(
						    total_time - arrival_time[target_process] - burst_time[target_process]
						)
				else:
						total_time += 1

		return waiting_time



def 		__A		(  lowerCamelCase_			,			lowerCamelCase_			,			lowerCamelCase_	):


		"""simple docstring"""



		SCREAMING_SNAKE_CASE :				Any		=			[0] * no_of_processes
		for i in range(lowerCamelCase_	):
				SCREAMING_SNAKE_CASE :				Union[str, Any]		=			burst_time[i] + waiting_time[i]
		return turn_around_time


if __name__ == "__main__":
							print("""[TEST CASE 01]""")

							__UpperCAmelCase            =       4
							__UpperCAmelCase            =       [2, 5, 3, 7]
							__UpperCAmelCase            =       [0, 0, 0, 0]
							__UpperCAmelCase            =       calculate_waitingtime(arrival_time, burst_time, no_of_processes)
							__UpperCAmelCase            =       calculate_turnaroundtime(
							    burst_time, no_of_processes, waiting_time
							)

							# Printing the Result
							print("""PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time""")
							for i, process_id in enumerate(list(range(1, 5))):
														print(
														    f'''{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t'''
														    f'''{waiting_time[i]}\t\t\t\t{turn_around_time[i]}'''
														)
							print(f'''\nAverage waiting time = {mean(waiting_time):.5f}''')
							print(f'''Average turnaround time = {mean(turn_around_time):.5f}''')



