


'''simple docstring'''



from statistics import mean

import numpy as np


def    lowerCamelCase__   ( A     :    list   ,     A     :    list   ,     A     :    list   ,     A     :    int  ):




						'''simple docstring'''






						UpperCAmelCase         =			0
						# Number of processes finished
						UpperCAmelCase         =			0
						# Displays the finished process.
						# If it is 0, the performance is completed if it is 1, before the performance.
						UpperCAmelCase         =			[0] * no_of_process
						# List to include calculation results
						UpperCAmelCase         =			[0] * no_of_process

						# Sort by arrival time.
						UpperCAmelCase         =			[burst_time[i] for i in np.argsort(A  )]
						UpperCAmelCase         =			[process_name[i] for i in np.argsort(A  )]
						arrival_time.sort()

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

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

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

						return turn_around_time


def    lowerCamelCase__   ( A     :    list   ,     A     :    list   ,     A     :    list   ,     A     :    int  ):




						'''simple docstring'''






						UpperCAmelCase         =			[0] * no_of_process
						for i in range(0   ,     A  ):
												UpperCAmelCase         =			turn_around_time[i] - burst_time[i]
						return waiting_time


if __name__ == "__main__":
	_lowercase    :    int			     =  5
	_lowercase    :    List[str]			     =  ["""A""", """B""", """C""", """D""", """E"""]
	_lowercase    :    Tuple			     =  [1, 2, 3, 4, 5]
	_lowercase    :    Union[str, Any]			     =  [1, 2, 3, 4, 5]

	_lowercase    :    int			     =  calculate_turn_around_time(
	    process_name, arrival_time, burst_time, no_of_process
	)
	_lowercase    :    List[str]			     =  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}""")









'''simple docstring'''



# Copyright 2022 The HuggingFace Team and The OpenBMB Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_lowercase    :    Any			     =  {
    """configuration_cpmant""": ["""CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CpmAntConfig"""],
    """tokenization_cpmant""": ["""CpmAntTokenizer"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase    :    int			     =  [
	    """CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """CpmAntForCausalLM""",
	    """CpmAntModel""",
	    """CpmAntPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_cpmant import CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP, CpmAntConfig
	from .tokenization_cpmant import CpmAntTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_cpmant import (
		    CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    CpmAntForCausalLM,
		    CpmAntModel,
		    CpmAntPreTrainedModel,
		)


else:
	import sys

	_lowercase    :    Dict			     =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





