


'''simple docstring'''

import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english





@require_tokenizers
class   snake_case					(					lowercase    ,		unittest.TestCase    ):





  """simple docstring"""




  _lowerCamelCase						=						RoCBertTokenizer
  _lowerCamelCase						=						None
  _lowerCamelCase						=						False
  _lowerCamelCase						=						True
  _lowerCamelCase						=						filter_non_english






  def 						snake_case	(					self  ):







   """simple docstring"""
   super().setUp()

   lowerCamelCase_  				=						["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
   lowerCamelCase_  				=						{}
   lowerCamelCase_  				=						{}
   for i, value in enumerate(UpperCamelCase  ):
    lowerCamelCase_  				=						i
    lowerCamelCase_  				=						i
   lowerCamelCase_  				=						os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["vocab_file"]  )
   lowerCamelCase_  				=						os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["word_shape_file"]  )
   lowerCamelCase_  				=						os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["word_pronunciation_file"]  )
   with open(self.vocab_file    ,						"w"    ,						encoding="utf-8"  ) as vocab_writer:
    vocab_writer.write("".join([x + "\n" for x in vocab_tokens]  )  )
   with open(self.word_shape_file    ,						"w"    ,						encoding="utf-8"  ) as word_shape_writer:
    json.dump(UpperCamelCase    ,						UpperCamelCase    ,						ensure_ascii=UpperCamelCase  )
   with open(self.word_pronunciation_file    ,						"w"    ,						encoding="utf-8"  ) as word_pronunciation_writer:
    json.dump(UpperCamelCase    ,						UpperCamelCase    ,						ensure_ascii=UpperCamelCase  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						self.tokenizer_class(self.vocab_file    ,						self.word_shape_file    ,						self.word_pronunciation_file  )

   lowerCamelCase_  				=						tokenizer.tokenize("你好[SEP]你是谁"  )
   self.assertListEqual(UpperCamelCase    ,						["你", "好", "[SEP]", "你", "是", "谁"]  )
   self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase  )    ,						[5, 6, 2, 5, 7, 8]  )
   self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(UpperCamelCase  )    ,						[5, 6, 2, 5, 7, 8]  )
   self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase  )    ,						[5, 6, 2, 5, 7, 8]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						RoCBertBasicTokenizer()

   self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"  )    ,						["ah", "\u535A", "\u63A8", "zz"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						RoCBertBasicTokenizer(do_lower_case=UpperCamelCase  )

   self.assertListEqual(
       tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "  )    ,						["hello", "!", "how", "are", "you", "?"]  )
   self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  )    ,						["hello"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						RoCBertBasicTokenizer(do_lower_case=UpperCamelCase    ,						strip_accents=UpperCamelCase  )

   self.assertListEqual(
       tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  )    ,						["hällo", "!", "how", "are", "you", "?"]  )
   self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  )    ,						["h\u00E9llo"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						RoCBertBasicTokenizer(do_lower_case=UpperCamelCase    ,						strip_accents=UpperCamelCase  )

   self.assertListEqual(
       tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  )    ,						["hallo", "!", "how", "are", "you", "?"]  )
   self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  )    ,						["hello"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						RoCBertBasicTokenizer(do_lower_case=UpperCamelCase  )

   self.assertListEqual(
       tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  )    ,						["hallo", "!", "how", "are", "you", "?"]  )
   self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  )    ,						["hello"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						RoCBertBasicTokenizer(do_lower_case=UpperCamelCase  )

   self.assertListEqual(
       tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "  )    ,						["HeLLo", "!", "how", "Are", "yoU", "?"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						RoCBertBasicTokenizer(do_lower_case=UpperCamelCase    ,						strip_accents=UpperCamelCase  )

   self.assertListEqual(
       tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  )    ,						["HäLLo", "!", "how", "Are", "yoU", "?"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						RoCBertBasicTokenizer(do_lower_case=UpperCamelCase    ,						strip_accents=UpperCamelCase  )

   self.assertListEqual(
       tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  )    ,						["HaLLo", "!", "how", "Are", "yoU", "?"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						RoCBertBasicTokenizer(do_lower_case=UpperCamelCase    ,						never_split=["[UNK]"]  )

   self.assertListEqual(
       tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"  )    ,						["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

   lowerCamelCase_  				=						{}
   for i, token in enumerate(UpperCamelCase  ):
    lowerCamelCase_  				=						i
   lowerCamelCase_  				=						RoCBertWordpieceTokenizer(vocab=UpperCamelCase    ,						unk_token="[UNK]"  )

   self.assertListEqual(tokenizer.tokenize(""  )    ,						[]  )

   self.assertListEqual(tokenizer.tokenize("unwanted running"  )    ,						["un", "##want", "##ed", "runn", "##ing"]  )

   self.assertListEqual(tokenizer.tokenize("unwantedX running"  )    ,						["[UNK]", "runn", "##ing"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   self.assertTrue(_is_whitespace(" "  )  )
   self.assertTrue(_is_whitespace("\t"  )  )
   self.assertTrue(_is_whitespace("\r"  )  )
   self.assertTrue(_is_whitespace("\n"  )  )
   self.assertTrue(_is_whitespace("\u00A0"  )  )

   self.assertFalse(_is_whitespace("A"  )  )
   self.assertFalse(_is_whitespace("-"  )  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   self.assertTrue(_is_control("\u0005"  )  )

   self.assertFalse(_is_control("A"  )  )
   self.assertFalse(_is_control(" "  )  )
   self.assertFalse(_is_control("\t"  )  )
   self.assertFalse(_is_control("\r"  )  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   self.assertTrue(_is_punctuation("-"  )  )
   self.assertTrue(_is_punctuation("$"  )  )
   self.assertTrue(_is_punctuation("`"  )  )
   self.assertTrue(_is_punctuation("."  )  )

   self.assertFalse(_is_punctuation("A"  )  )
   self.assertFalse(_is_punctuation(" "  )  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						self.get_tokenizer()

   # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
   self.assertListEqual([tokenizer.tokenize(UpperCamelCase  ) for t in ["Test", "\xad", "test"]]    ,						[["[UNK]"], [], ["[UNK]"]]  )

   if self.test_rust_tokenizer:
    lowerCamelCase_  				=						self.get_rust_tokenizer()
    self.assertListEqual(
        [rust_tokenizer.tokenize(UpperCamelCase  ) for t in ["Test", "\xad", "test"]]    ,						[["[UNK]"], [], ["[UNK]"]]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
    with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
     lowerCamelCase_  				=						self.rust_tokenizer_class.from_pretrained(UpperCamelCase    ,						**UpperCamelCase  )

     lowerCamelCase_  				=						f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
     lowerCamelCase_  				=						tokenizer_r.encode_plus(
         UpperCamelCase    ,						return_attention_mask=UpperCamelCase    ,						return_token_type_ids=UpperCamelCase    ,						return_offsets_mapping=UpperCamelCase    ,						add_special_tokens=UpperCamelCase    ,						)

     lowerCamelCase_  				=						tokenizer_r.do_lower_case if hasattr(UpperCamelCase    ,						"do_lower_case"  ) else False
     lowerCamelCase_  				=						(
         [
             ((0, 0), tokenizer_r.cls_token),
             ((0, 1), "A"),
             ((1, 2), ","),
             ((3, 5), "na"),
             ((5, 6), "##ï"),
             ((6, 8), "##ve"),
             ((9, 15), tokenizer_r.mask_token),
             ((16, 21), "Allen"),
             ((21, 23), "##NL"),
             ((23, 24), "##P"),
             ((25, 33), "sentence"),
             ((33, 34), "."),
             ((0, 0), tokenizer_r.sep_token),
         ]
         if not do_lower_case
         else [
             ((0, 0), tokenizer_r.cls_token),
             ((0, 1), "a"),
             ((1, 2), ","),
             ((3, 8), "naive"),
             ((9, 15), tokenizer_r.mask_token),
             ((16, 21), "allen"),
             ((21, 23), "##nl"),
             ((23, 24), "##p"),
             ((25, 33), "sentence"),
             ((33, 34), "."),
             ((0, 0), tokenizer_r.sep_token),
         ]
     )

     self.assertEqual(
         [e[1] for e in expected_results]    ,						tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]  )  )
     self.assertEqual([e[0] for e in expected_results]    ,						tokens["offset_mapping"]  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						["的", "人", "有"]
   lowerCamelCase_  				=						"".join(UpperCamelCase  )
   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
    with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
     lowerCamelCase_  				=						True
     lowerCamelCase_  				=						self.tokenizer_class.from_pretrained(UpperCamelCase    ,						**UpperCamelCase  )
     lowerCamelCase_  				=						self.rust_tokenizer_class.from_pretrained(UpperCamelCase    ,						**UpperCamelCase  )

     lowerCamelCase_  				=						tokenizer_p.encode(UpperCamelCase    ,						add_special_tokens=UpperCamelCase  )
     lowerCamelCase_  				=						tokenizer_r.encode(UpperCamelCase    ,						add_special_tokens=UpperCamelCase  )

     lowerCamelCase_  				=						tokenizer_r.convert_ids_to_tokens(UpperCamelCase  )
     lowerCamelCase_  				=						tokenizer_p.convert_ids_to_tokens(UpperCamelCase  )

     # it is expected that each Chinese character is not preceded by "##"
     self.assertListEqual(UpperCamelCase    ,						UpperCamelCase  )
     self.assertListEqual(UpperCamelCase    ,						UpperCamelCase  )

     lowerCamelCase_  				=						False
     lowerCamelCase_  				=						self.rust_tokenizer_class.from_pretrained(UpperCamelCase    ,						**UpperCamelCase  )
     lowerCamelCase_  				=						self.tokenizer_class.from_pretrained(UpperCamelCase    ,						**UpperCamelCase  )

     lowerCamelCase_  				=						tokenizer_r.encode(UpperCamelCase    ,						add_special_tokens=UpperCamelCase  )
     lowerCamelCase_  				=						tokenizer_p.encode(UpperCamelCase    ,						add_special_tokens=UpperCamelCase  )

     lowerCamelCase_  				=						tokenizer_r.convert_ids_to_tokens(UpperCamelCase  )
     lowerCamelCase_  				=						tokenizer_p.convert_ids_to_tokens(UpperCamelCase  )

     # it is expected that only the first Chinese character is not preceded by "##".
     lowerCamelCase_  				=						[
         f'''##{token}''' if idx != 0 else token for idx, token in enumerate(UpperCamelCase  )
     ]
     self.assertListEqual(UpperCamelCase    ,						UpperCamelCase  )
     self.assertListEqual(UpperCamelCase    ,						UpperCamelCase  )






  @slow
  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						self.tokenizer_class(self.vocab_file    ,						self.word_shape_file    ,						self.word_pronunciation_file  )

   lowerCamelCase_  				=						tokenizer.encode("你好"    ,						add_special_tokens=UpperCamelCase  )
   lowerCamelCase_  				=						tokenizer.encode("你是谁"    ,						add_special_tokens=UpperCamelCase  )

   lowerCamelCase_  				=						tokenizer.build_inputs_with_special_tokens(UpperCamelCase  )
   lowerCamelCase_  				=						tokenizer.build_inputs_with_special_tokens(UpperCamelCase    ,						UpperCamelCase  )

   assert encoded_sentence == [1] + text + [2]
   assert encoded_pair == [1] + text + [2] + text_a + [2]







  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						self.get_tokenizers(do_lower_case=UpperCamelCase  )
   for tokenizer in tokenizers:
    with self.subTest(f'''{tokenizer.__class__.__name__}'''  ):
     lowerCamelCase_  				=						"你好，你是谁"
     lowerCamelCase_  				=						tokenizer.tokenize(UpperCamelCase  )
     lowerCamelCase_  				=						tokenizer.convert_tokens_to_ids(UpperCamelCase  )
     lowerCamelCase_  				=						tokenizer.convert_tokens_to_shape_ids(UpperCamelCase  )
     lowerCamelCase_  				=						tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase  )
     lowerCamelCase_  				=						tokenizer.prepare_for_model(
         UpperCamelCase    ,						UpperCamelCase    ,						UpperCamelCase    ,						add_special_tokens=UpperCamelCase  )

     lowerCamelCase_  				=						tokenizer.encode_plus(UpperCamelCase    ,						add_special_tokens=UpperCamelCase  )

     self.assertEqual(UpperCamelCase    ,						UpperCamelCase  )







'''simple docstring'''

from __future__ import annotations

import pandas as pd





def __snake_case      (   UpperCAmelCase_		:		list[int]      ,       UpperCAmelCase_		:		list[int]      ,       UpperCAmelCase_		:		int	):
 lowerCamelCase_  				=						[0] * no_of_processes
 lowerCamelCase_  				=						[0] * no_of_processes
 # Copy the burst time into remaining_time[]
 for i in range(UpperCAmelCase_	):
  lowerCamelCase_  				=						burst_time[i]

 lowerCamelCase_  				=						0
 lowerCamelCase_  				=						0
 lowerCamelCase_  				=						999999999
 lowerCamelCase_  				=						0
 lowerCamelCase_  				=						False

 # Process until all processes are completed
 while complete != no_of_processes:
  for j in range(UpperCAmelCase_	):
   if arrival_time[j] <= increment_time and remaining_time[j] > 0:
    if remaining_time[j] < minm:
     lowerCamelCase_  				=						remaining_time[j]
     lowerCamelCase_  				=						j
     lowerCamelCase_  				=						True

  if not check:
   increment_time += 1
   continue
  remaining_time[short] -= 1

  lowerCamelCase_  				=						remaining_time[short]
  if minm == 0:
   lowerCamelCase_  				=						999999999

  if remaining_time[short] == 0:
   complete += 1
   lowerCamelCase_  				=						False

   # Find finish time of current process
   lowerCamelCase_  				=						increment_time + 1

   # Calculate waiting time
   lowerCamelCase_  				=						finish_time - arrival_time[short]
   lowerCamelCase_  				=						finar - burst_time[short]

   if waiting_time[short] < 0:
    lowerCamelCase_  				=						0

        # Increment time
  increment_time += 1
 return waiting_time





def __snake_case      (   UpperCAmelCase_		:		list[int]      ,       UpperCAmelCase_		:		int      ,       UpperCAmelCase_		:		list[int]	):
 lowerCamelCase_  				=						[0] * no_of_processes
 for i in range(UpperCAmelCase_	):
  lowerCamelCase_  				=						burst_time[i] + waiting_time[i]
 return turn_around_time





def __snake_case      (   UpperCAmelCase_		:		list[int]      ,       UpperCAmelCase_		:		list[int]      ,       UpperCAmelCase_		:		int	):
 lowerCamelCase_  				=						0
 lowerCamelCase_  				=						0
 for i in range(UpperCAmelCase_	):
  lowerCamelCase_  				=						total_waiting_time + waiting_time[i]
  lowerCamelCase_  				=						total_turn_around_time + turn_around_time[i]
 print(F'''Average waiting time = {total_waiting_time / no_of_processes:.5f}'''	)
 print("Average turn around time ="      ,       total_turn_around_time / no_of_processes	)


if __name__ == "__main__":
     print("""Enter how many process you want to analyze""")
     a_						:       Dict      			=				int(input())
     a_						:       Any      			=				[0] * no_of_processes
     a_						:       Optional[int]      			=				[0] * no_of_processes
     a_						:       Tuple      			=				list(range(1, no_of_processes + 1))

     for i in range(no_of_processes):
          print("""Enter the arrival time and burst time for process:--""" + str(i + 1))
          a_			,     a_						:       str      			=				map(int, input().split())

     a_						:       List[Any]      			=				calculate_waitingtime(arrival_time, burst_time, no_of_processes)

     a_						:       int      			=				burst_time
     a_						:       Union[str, Any]      			=				no_of_processes
     a_						:       Optional[int]      			=				waiting_time
     a_						:       Any      			=				calculate_turnaroundtime(bt, n, wt)

     calculate_average_times(waiting_time, turn_around_time, no_of_processes)

     a_						:       Optional[int]      			=				pd.DataFrame(
         list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
         columns=[
             """Process""",
             """BurstTime""",
             """ArrivalTime""",
             """WaitingTime""",
             """TurnAroundTime""",
         ],
     )

     # Printing the dataFrame
     pd.set_option("""display.max_rows""", fcfs.shape[0] + 1)
     print(fcfs)



