"""simple docstring"""


import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase_:					List[str]     =					get_tests_dir("fixtures/test_sentencepiece.model")






@require_sentencepiece
@require_tokenizers
class    a__    (   _a					,					unittest.TestCase	):
   snake_case_							=      XGLMTokenizer
   snake_case_							=      XGLMTokenizerFast
   snake_case_							=      True
   snake_case_							=      True


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        super().setUp()

        # We have a SentencePiece fixture for testing
        lowercase__				 =							XGLMTokenizer(_UpperCAmelCase,				keep_accents=_UpperCAmelCase  )
        tokenizer.save_pretrained(self.tmpdirname  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							"<pad>"
        lowercase__				 =							1

        self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCAmelCase  ),				_UpperCAmelCase  )
        self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCAmelCase  ),				_UpperCAmelCase  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							list(self.get_tokenizer().get_vocab().keys()  )

        self.assertEqual(vocab_keys[0],				"<s>"  )
        self.assertEqual(vocab_keys[1],				"<pad>"  )
        self.assertEqual(len(_UpperCAmelCase  ),				1008  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        self.assertEqual(self.get_tokenizer().vocab_size,				1008  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							XGLMTokenizer(_UpperCAmelCase,				keep_accents=_UpperCAmelCase  )

        lowercase__				 =							tokenizer.tokenize("This is a test"  )
        self.assertListEqual(_UpperCAmelCase,				["▁This", "▁is", "▁a", "▁t", "est"]  )

        self.assertListEqual(
            tokenizer.convert_tokens_to_ids(_UpperCAmelCase  ),				[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]],				)

        lowercase__				 =							tokenizer.tokenize("I was born in 92000, and this is falsé."  )
        self.assertListEqual(
            _UpperCAmelCase,				[
                SPIECE_UNDERLINE + "I",
                SPIECE_UNDERLINE + "was",
                SPIECE_UNDERLINE + "b",
                "or",
                "n",
                SPIECE_UNDERLINE + "in",
                SPIECE_UNDERLINE + "",
                "9",
                "2",
                "0",
                "0",
                "0",
                ",",
                SPIECE_UNDERLINE + "and",
                SPIECE_UNDERLINE + "this",
                SPIECE_UNDERLINE + "is",
                SPIECE_UNDERLINE + "f",
                "al",
                "s",
                "é",
                ".",
            ],				)
        lowercase__				 =							tokenizer.convert_tokens_to_ids(_UpperCAmelCase  )
        self.assertListEqual(
            _UpperCAmelCase,				[
                value + tokenizer.fairseq_offset
                for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
            ],				)

        lowercase__				 =							tokenizer.convert_ids_to_tokens(_UpperCAmelCase  )
        self.assertListEqual(
            _UpperCAmelCase,				[
                SPIECE_UNDERLINE + "I",
                SPIECE_UNDERLINE + "was",
                SPIECE_UNDERLINE + "b",
                "or",
                "n",
                SPIECE_UNDERLINE + "in",
                SPIECE_UNDERLINE + "",
                "<unk>",
                "2",
                "0",
                "0",
                "0",
                ",",
                SPIECE_UNDERLINE + "and",
                SPIECE_UNDERLINE + "this",
                SPIECE_UNDERLINE + "is",
                SPIECE_UNDERLINE + "f",
                "al",
                "s",
                "<unk>",
                ".",
            ],				)


   @cached_property
   def 	snake_case__	(     self  ):
        '''simple docstring'''



        return XGLMTokenizer.from_pretrained("facebook/xglm-564M"  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        with tempfile.NamedTemporaryFile() as f:
             shutil.copyfile(_UpperCAmelCase,				f.name  )
             lowercase__				 =							XGLMTokenizer(f.name,				keep_accents=_UpperCAmelCase  )
             lowercase__				 =							pickle.dumps(_UpperCAmelCase  )
        pickle.loads(_UpperCAmelCase  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        if not self.test_rust_tokenizer:
             return

        lowercase__				 =							self.get_tokenizer()
        lowercase__				 =							self.get_rust_tokenizer()

        lowercase__				 =							"I was born in 92000, and this is falsé."

        lowercase__				 =							tokenizer.tokenize(_UpperCAmelCase  )
        lowercase__				 =							rust_tokenizer.tokenize(_UpperCAmelCase  )
        self.assertListEqual(_UpperCAmelCase,				_UpperCAmelCase  )

        lowercase__				 =							tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
        lowercase__				 =							rust_tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
        self.assertListEqual(_UpperCAmelCase,				_UpperCAmelCase  )

        lowercase__				 =							self.get_rust_tokenizer()
        lowercase__				 =							tokenizer.encode(_UpperCAmelCase  )
        lowercase__				 =							rust_tokenizer.encode(_UpperCAmelCase  )
        self.assertListEqual(_UpperCAmelCase,				_UpperCAmelCase  )


   @slow
   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							"Hello World!"
        lowercase__				 =							[2, 3_1227, 4447, 35]

        self.assertListEqual(_UpperCAmelCase,				self.big_tokenizer.encode(_UpperCAmelCase  )  )


   @slow
   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							(
            "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
            " add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth"
        )
        # fmt: off
        lowercase__				 =							[2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 7_1630, 2_8085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 1_3675, 377, 652, 7580, 1_0341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 20_2277, 1_7892, 33, 60, 87, 4, 3234, 157, 61, 2667, 5_2376, 19, 88, 23, 735]
        # fmt: on

        self.assertListEqual(_UpperCAmelCase,				self.big_tokenizer.encode(_UpperCAmelCase  )  )


   @slow
   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							{
            "input_ids": [[2, 10_8825, 1163, 15, 8_8010, 473, 1_5898, 157, 1_3672, 1857, 312, 8, 23_8021, 1163, 53, 1_3672, 1857, 312, 8, 5_3283, 18_2396, 8, 1_8566, 16, 3_6733, 4101, 8, 230, 24_4017, 12_2553, 7, 15, 13_2597, 4, 293, 1_2511, 7610, 4, 3414, 13_2597, 9, 4, 3_2361, 362, 4, 734, 2_8512, 3_2569, 18, 4, 3_2361, 2_6096, 1_4982, 73, 1_8715, 2_1433, 23_5261, 15, 492, 1_2427, 16, 53, 1_8715, 2_1433, 6_5454, 15, 2_3659, 563, 16, 278, 597, 2843, 595, 7931, 18_2396, 6_4186, 22, 886, 595, 13_2981, 53, 2_5540, 3449, 4_3982, 3_9901, 5951, 878, 330, 4, 2_7694, 8_0269, 312, 53, 6517, 1_1780, 611, 2_0408, 5], [2, 6, 13_2597, 67, 4_2897, 33, 592, 8, 16_3729, 2_5540, 361, 13_6997, 10_9514, 17_3230, 7, 501, 60, 10_2913, 196, 5631, 235, 6_3243, 473, 6, 23_1757, 74, 5277, 7905, 53, 3095, 3_7317, 22, 454, 18_3874, 5], [2, 268, 3_1298, 4_6530, 6, 13_2935, 4_3831, 7, 597, 32, 24, 3688, 9865, 5]],
            "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
        }  # noqa: E501
        # fmt: on

        self.tokenizer_integration_test_util(
            expected_encoding=_UpperCAmelCase,				model_name="facebook/xglm-564M",				padding=_UpperCAmelCase,				)





"""simple docstring"""


from collections import deque






class    a__    :


   def __init__(     self,				_UpperCAmelCase,				_UpperCAmelCase,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							process_name  # process name
        lowercase__				 =							arrival_time  # arrival time of the process
        # completion time of finished process or last interrupted time
        lowercase__				 =							arrival_time
        lowercase__				 =							burst_time  # remaining burst time
        lowercase__				 =							0  # total time of the process wait in ready queue
        lowercase__				 =							0  # time from arrival time to completion time






class    a__    :


   def __init__(     self,				_UpperCAmelCase,				_UpperCAmelCase,				_UpperCAmelCase,				_UpperCAmelCase,				):
        '''simple docstring'''



        lowercase__				 =							number_of_queues
        # time slice of queues that round robin algorithm applied
        lowercase__				 =							time_slices
        # unfinished process is in this ready_queue
        lowercase__				 =							queue
        # current time
        lowercase__				 =							current_time
        # finished process is in this sequence queue
        lowercase__				 =							deque()


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							[]
        for i in range(len(self.finish_queue  )  ):
             sequence.append(self.finish_queue[i].process_name  )
        return sequence


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							[]
        for i in range(len(_UpperCAmelCase  )  ):
             waiting_times.append(queue[i].waiting_time  )
        return waiting_times


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							[]
        for i in range(len(_UpperCAmelCase  )  ):
             turnaround_times.append(queue[i].turnaround_time  )
        return turnaround_times


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							[]
        for i in range(len(_UpperCAmelCase  )  ):
             completion_times.append(queue[i].stop_time  )
        return completion_times


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        return [q.burst_time for q in queue]


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        process.waiting_time += self.current_time - process.stop_time
        return process.waiting_time


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							deque()  # sequence deque of finished process
        while len(_UpperCAmelCase  ) != 0:
             lowercase__				 =							ready_queue.popleft()  # current process

             # if process's arrival time is later than current time, update current time
             if self.current_time < cp.arrival_time:
                  self.current_time += cp.arrival_time

             # update waiting time of current process
             self.update_waiting_time(_UpperCAmelCase  )
             # update current time
             self.current_time += cp.burst_time
             # finish the process and set the process's burst-time 0
             lowercase__				 =							0
             # set the process's turnaround time because it is finished
             lowercase__				 =							self.current_time - cp.arrival_time
             # set the completion time
             lowercase__				 =							self.current_time
             # add the process to queue that has finished queue
             finished.append(_UpperCAmelCase  )

        self.finish_queue.extend(_UpperCAmelCase  )  # add finished process to finish queue
        # FCFS will finish all remaining processes
        return finished


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							deque()  # sequence deque of terminated process
        # just for 1 cycle and unfinished processes will go back to queue
        for _ in range(len(_UpperCAmelCase  )  ):
             lowercase__				 =							ready_queue.popleft()  # current process

             # if process's arrival time is later than current time, update current time
             if self.current_time < cp.arrival_time:
                  self.current_time += cp.arrival_time

             # update waiting time of unfinished processes
             self.update_waiting_time(_UpperCAmelCase  )
             # if the burst time of process is bigger than time-slice
             if cp.burst_time > time_slice:
                  # use CPU for only time-slice
                  self.current_time += time_slice
                  # update remaining burst time
                  cp.burst_time -= time_slice
                  # update end point time
                  lowercase__				 =							self.current_time
                  # locate the process behind the queue because it is not finished
                  ready_queue.append(_UpperCAmelCase  )
             else:
                  # use CPU for remaining burst time
                  self.current_time += cp.burst_time
                  # set burst time 0 because the process is finished
                  lowercase__				 =							0
                  # set the finish time
                  lowercase__				 =							self.current_time
                  # update the process' turnaround time because it is finished
                  lowercase__				 =							self.current_time - cp.arrival_time
                  # add the process to queue that has finished queue
                  finished.append(_UpperCAmelCase  )

        self.finish_queue.extend(_UpperCAmelCase  )  # add finished process to finish queue
        # return finished processes queue and remaining processes queue
        return finished, ready_queue


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        for i in range(self.number_of_queues - 1  ):
             lowercase__ ,						lowercase__				 =							self.round_robin(
                 self.ready_queue,				self.time_slices[i]  )
        #  the last queue has first_come_first_served algorithm
        self.first_come_first_served(self.ready_queue  )

        return self.finish_queue


if __name__ == "__main__":
 import doctest

 lowerCAmelCase_:					Optional[int]     =					Process("P1", 0, 5_3)
 lowerCAmelCase_:					Union[str, Any]     =					Process("P2", 0, 1_7)
 lowerCAmelCase_:					str     =					Process("P3", 0, 6_8)
 lowerCAmelCase_:					int     =					Process("P4", 0, 2_4)
 lowerCAmelCase_:					Dict     =					3
 lowerCAmelCase_:					Any     =					[1_7, 2_5]
 lowerCAmelCase_:					Tuple     =					deque([Pa, Pa, Pa, Pa])

 if len(time_slices) != number_of_queues - 1:
  raise SystemExit(0)

 doctest.testmod(extraglobs={"queue": deque([Pa, Pa, Pa, Pa])})

 lowerCAmelCase_:					Any     =					Process("P1", 0, 5_3)
 lowerCAmelCase_:					Tuple     =					Process("P2", 0, 1_7)
 lowerCAmelCase_:					Optional[int]     =					Process("P3", 0, 6_8)
 lowerCAmelCase_:					List[Any]     =					Process("P4", 0, 2_4)
 lowerCAmelCase_:					Union[str, Any]     =					3
 lowerCAmelCase_:					Any     =					[1_7, 2_5]
 lowerCAmelCase_:					Optional[Any]     =					deque([Pa, Pa, Pa, Pa])
 lowerCAmelCase_:					Union[str, Any]     =					MLFQ(number_of_queues, time_slices, queue, 0)
 lowerCAmelCase_:					Tuple     =					mlfq.multi_level_feedback_queue()

 # print total waiting times of processes(P1, P2, P3, P4)
 print(
     F'waiting time:\
        \t\t\t{MLFQ.calculate_waiting_time(mlfq, [Pa, Pa, Pa, Pa])}'
 )
 # print completion times of processes(P1, P2, P3, P4)
 print(
     F'completion time:\
        \t\t{MLFQ.calculate_completion_time(mlfq, [Pa, Pa, Pa, Pa])}'
 )
 # print total turnaround times of processes(P1, P2, P3, P4)
 print(
     F'turnaround time:\
        \t\t{MLFQ.calculate_turnaround_time(mlfq, [Pa, Pa, Pa, Pa])}'
 )
 # print sequence of finished processes
 print(
     F'sequence of finished processes:\
        {mlfq.calculate_sequence_of_finish_queue()}'
 )




