





import json
import os
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from requests.exceptions import HTTPError

from transformers.utils import (
    CONFIG_NAME,
    FLAX_WEIGHTS_NAME,
    TF2_WEIGHTS_NAME,
    TRANSFORMERS_CACHE,
    WEIGHTS_NAME,
    cached_file,
    get_file_from_repo,
    has_file,
)


_SCREAMING_SNAKE_CASE      	=		"""hf-internal-testing/tiny-random-bert"""
_SCREAMING_SNAKE_CASE      	=		os.path.join(TRANSFORMERS_CACHE, """models--hf-internal-testing--tiny-random-bert""")
_SCREAMING_SNAKE_CASE      	=		"""9b8c223d42b2188cb49d29af482996f9d0f3e5a6"""
class SCREAMING_SNAKE_CASE_						(					unittest.TestCase					):






						def UpperCAmelCase_				(      self      :      List[str]	)							->    int:







							"""simple docstring"""


							snake_case_		:			List[Any]											=	cached_file(_A		,   _A	)
							# Should have downloaded the file in here
							self.assertTrue(os.path.isdir(_A	)	)
							# Cache should contain at least those three subfolders:
							for subfolder in ["blobs", "refs", "snapshots"]:
								self.assertTrue(os.path.isdir(os.path.join(_A		,   _A	)	)	)
							with open(os.path.join(_A		,   'refs'		,   'main'	)	) as f:
								snake_case_		:			List[str]											=	f.read()
							self.assertEqual(_A		,   os.path.join(_A		,   'snapshots'		,   _A		,   _A	)	)
							self.assertTrue(os.path.isfile(_A	)	)

							# File is cached at the same place the second time.
							snake_case_		:			int											=	cached_file(_A		,   _A	)
							self.assertEqual(_A		,   _A	)

							# Using a specific revision to test the full commit hash.
							snake_case_		:			Dict											=	cached_file(_A		,   _A		,   revision='9b8c223'	)
							self.assertEqual(_A		,   os.path.join(_A		,   'snapshots'		,   _A		,   _A	)	)






						def UpperCAmelCase_				(      self      :      Optional[Any]	)							->    Optional[int]:







							"""simple docstring"""


							with self.assertRaisesRegex(_A		,   'is not a valid model identifier'	):
								snake_case_		:			List[Any]											=	cached_file('tiny-random-bert'		,   _A	)

							with self.assertRaisesRegex(_A		,   'is not a valid git identifier'	):
								snake_case_		:			Dict											=	cached_file(_A		,   _A		,   revision='aaaa'	)

							with self.assertRaisesRegex(_A		,   'does not appear to have a file named'	):
								snake_case_		:			str											=	cached_file(_A		,   'conf'	)






						def UpperCAmelCase_				(      self      :      Optional[int]	)							->    List[str]:







							"""simple docstring"""


							with self.assertRaisesRegex(_A		,   'does not appear to have a file named'	):
								snake_case_		:			Union[str, Any]											=	cached_file(_A		,   'conf'	)

							with open(os.path.join(_A		,   'refs'		,   'main'	)	) as f:
								snake_case_		:			Any											=	f.read()
							self.assertTrue(os.path.isfile(os.path.join(_A		,   '.no_exist'		,   _A		,   'conf'	)	)	)

							snake_case_		:			int											=	cached_file(_A		,   'conf'		,   _raise_exceptions_for_missing_entries=_A	)
							self.assertIsNone(_A	)

							snake_case_		:			List[str]											=	cached_file(_A		,   'conf'		,   local_files_only=_A		,   _raise_exceptions_for_missing_entries=_A	)
							self.assertIsNone(_A	)

							snake_case_		:			Union[str, Any]											=	mock.Mock()
							snake_case_		:			Optional[int]											=	500
							snake_case_		:			Optional[Any]											=	{}
							snake_case_		:			str											=	HTTPError
							snake_case_		:			Union[str, Any]											=	{}

							# Under the mock environment we get a 500 error when trying to reach the tokenizer.
							with mock.patch('requests.Session.request'		,   return_value=_A	) as mock_head:
								snake_case_		:			Optional[Any]											=	cached_file(_A		,   'conf'		,   _raise_exceptions_for_connection_errors=_A	)
								self.assertIsNone(_A	)
								# This check we did call the fake head request
								mock_head.assert_called()






						def UpperCAmelCase_				(      self      :      Optional[int]	)							->    Union[str, Any]:







							"""simple docstring"""


							self.assertTrue(has_file('hf-internal-testing/tiny-bert-pt-only'		,   _A	)	)
							self.assertFalse(has_file('hf-internal-testing/tiny-bert-pt-only'		,   _A	)	)
							self.assertFalse(has_file('hf-internal-testing/tiny-bert-pt-only'		,   _A	)	)






						def UpperCAmelCase_				(      self      :      Any	)							->    int:







							"""simple docstring"""


							self.assertIsNone(get_file_from_repo('bert-base-cased'		,   'ahah.txt'	)	)

							# The function raises if the repository does not exist.
							with self.assertRaisesRegex(_A		,   'is not a valid model identifier'	):
								get_file_from_repo('bert-base-case'		,   _A	)

							# The function raises if the revision does not exist.
							with self.assertRaisesRegex(_A		,   'is not a valid git identifier'	):
								get_file_from_repo('bert-base-cased'		,   _A		,   revision='ahaha'	)

							snake_case_		:			Tuple											=	get_file_from_repo('bert-base-cased'		,   _A	)
							# The name is the cached name which is not very easy to test, so instead we load the content.
							snake_case_		:			Any											=	json.loads(open(_A		,   'r'	).read()	)
							self.assertEqual(config['hidden_size']		,   768	)






						def UpperCAmelCase_				(      self      :      List[Any]	)							->    Any:







							"""simple docstring"""


							with tempfile.TemporaryDirectory() as tmp_dir:
								snake_case_		:			List[str]											=	Path(_A	) / 'a.txt'
								filename.touch()
								self.assertEqual(get_file_from_repo(_A		,   'a.txt'	)		,   str(_A	)	)

								self.assertIsNone(get_file_from_repo(_A		,   'b.txt'	)	)








from statistics import mean

import numpy as np


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a   , __a   , __a   ):
	snake_case_		:			Optional[Any]											=	0
	# Number of processes finished
	snake_case_		:			List[str]											=	0
	# Displays the finished process.
	# If it is 0, the performance is completed if it is 1, before the performance.
	snake_case_		:			str											=	[0] * no_of_process
	# List to include calculation results
	snake_case_		:			Optional[int]											=	[0] * no_of_process

	# Sort by arrival time.
	snake_case_		:			str											=	[burst_time[i] for i in np.argsort(__a   )]
	snake_case_		:			str											=	[process_name[i] for i in np.argsort(__a   )]
	arrival_time.sort()

	while no_of_process > finished_process_count:
		snake_case_		:			int											=	0
		while finished_process[i] == 1:
			i += 1
		if current_time < arrival_time[i]:
			snake_case_		:			str											=	arrival_time[i]

		snake_case_		:			Optional[Any]											=	0
		# Index showing the location of the process being performed
		snake_case_		:			Tuple											=	0
		# Saves the current response ratio.
		snake_case_		:			List[Any]											=	0
		for i in range(0   , __a   ):
			if finished_process[i] == 0 and arrival_time[i] <= current_time:
				snake_case_		:			Optional[Any]											=	(burst_time[i] + (current_time - arrival_time[i])) / burst_time[
				    i
				]
			if response_ratio < temp:
				snake_case_		:			Optional[int]											=	temp
				snake_case_		:			Optional[Any]											=	i

        # Calculate the turn around time
		snake_case_		:			Any											=	current_time + burst_time[loc] - arrival_time[loc]
		current_time += burst_time[loc]
		# Indicates that the process has been performed.
		snake_case_		:			Optional[Any]											=	1
		# Increase finished_process_count by 1
		finished_process_count += 1

	return turn_around_time


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a   , __a   , __a   ):
	snake_case_		:			List[Any]											=	[0] * no_of_process
	for i in range(0   , __a   ):
		snake_case_		:			Optional[int]											=	turn_around_time[i] - burst_time[i]
	return waiting_time


if __name__ == "__main__":
						_SCREAMING_SNAKE_CASE      	=		5
						_SCREAMING_SNAKE_CASE      	=		["""A""", """B""", """C""", """D""", """E"""]
						_SCREAMING_SNAKE_CASE      	=		[1, 2, 3, 4, 5]
						_SCREAMING_SNAKE_CASE      	=		[1, 2, 3, 4, 5]

						_SCREAMING_SNAKE_CASE      	=		calculate_turn_around_time(
						    process_name, arrival_time, burst_time, no_of_process
						)
						_SCREAMING_SNAKE_CASE      	=		calculate_waiting_time(
						    process_name, turn_around_time, burst_time, no_of_process
						)

						print("""Process name \tArrival time \tBurst time \tTurn around time \tWaiting time""")
						for i in range(0, no_of_process):
												print(
												    F'''{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t'''
												    F'''{turn_around_time[i]}\t\t\t{waiting_time[i]}'''
												)

						print(F'''average waiting time : {mean(waiting_time):.5f}''')
						print(F'''average turn around time : {mean(turn_around_time):.5f}''')

