



import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
UpperCamelCase__:     Optional[int]										=    logging.getLogger()


def 				snake_case_  (      _lowerCAmelCase						:		Path     ,   _lowerCAmelCase						:		list						)   ->     Optional[int]:
							UpperCAmelCase				: Optional[Any]											=	'''\n'''.join(_lowerCAmelCase						)
							Path(_lowerCAmelCase						).open('''w'''						).writelines(_lowerCAmelCase						)


UpperCamelCase__:     Dict										=    "patrickvonplaten/t5-tiny-random"
UpperCamelCase__:     Tuple										=    "sshleifer/bart-tiny-random"
UpperCamelCase__:     Optional[Any]										=    "sshleifer/tiny-mbart"

UpperCamelCase__:     Any										=    logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks




class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	def   A			(		self    :  Union[str, Any]	,    __snake_case    :  Tuple	)    ->	str:
								UpperCAmelCase				: str											=	Path(self.get_auto_remove_tmp_dir()	) / '''utest_input.source'''
								UpperCAmelCase				: Union[str, Any]											=	input_file_name.parent / '''utest_output.txt'''
								assert not output_file_name.exists()
								UpperCAmelCase				: int											=	[''' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.''']
								_dump_articles(__snake_case	,    __snake_case	)

								UpperCAmelCase				: List[Any]											=	str(Path(self.get_auto_remove_tmp_dir()	) / '''scores.json'''	)
								UpperCAmelCase				: List[str]											=	'''translation_en_to_de''' if model == T5_TINY else '''summarization'''
								UpperCAmelCase				: int											=	F"""\n            run_eval_search.py\n            {model}\n            {input_file_name}\n            {output_file_name}\n            --score_path {score_path}\n            --task {task}\n            --num_beams 2\n            --length_penalty 2.0\n            """.split()

								with patch.object(__snake_case	,    '''argv'''	,    __snake_case	):
															run_generate()
															assert Path(__snake_case	).exists()
															# os.remove(Path(output_file_name))







	def   A			(		self    :  List[str]	)    ->	str:
								self.run_eval_tester(__snake_case	)







	@parameterized.expand([BART_TINY, MBART_TINY]	)
	@slow
	def   A			(		self    :  Any	,    __snake_case    :  str	)    ->	List[Any]:
								self.run_eval_tester(__snake_case	)







	@parameterized.expand([T5_TINY, MBART_TINY]	)
	@slow
	def   A			(		self    :  Optional[Any]	,    __snake_case    :  List[Any]	)    ->	Dict:
								UpperCAmelCase				: Dict											=	Path(self.get_auto_remove_tmp_dir()	) / '''utest_input.source'''
								UpperCAmelCase				: List[str]											=	input_file_name.parent / '''utest_output.txt'''
								assert not output_file_name.exists()

								UpperCAmelCase				: Tuple											=	{
								    '''en''': ['''Machine learning is great, isn\'t it?''', '''I like to eat bananas''', '''Tomorrow is another great day!'''],
								    '''de''': [
								        '''Maschinelles Lernen ist großartig, oder?''',
								        '''Ich esse gerne Bananen''',
								        '''Morgen ist wieder ein toller Tag!''',
								    ],
								}

								UpperCAmelCase				: str											=	Path(self.get_auto_remove_tmp_dir()	)
								UpperCAmelCase				: Tuple											=	str(tmp_dir / '''scores.json'''	)
								UpperCAmelCase				: List[Any]											=	str(tmp_dir / '''val.target'''	)
								_dump_articles(__snake_case	,    text['''en''']	)
								_dump_articles(__snake_case	,    text['''de''']	)
								UpperCAmelCase				: int											=	'''translation_en_to_de''' if model == T5_TINY else '''summarization'''
								UpperCAmelCase				: Optional[Any]											=	F"""\n            run_eval_search.py\n            {model}\n            {str(__snake_case	)}\n            {str(__snake_case	)}\n            --score_path {score_path}\n            --reference_path {reference_path}\n            --task {task}\n            """.split()
								testargs.extend(['''--search''', '''num_beams=1:2 length_penalty=0.9:1.0''']	)

								with patch.object(__snake_case	,    '''argv'''	,    __snake_case	):
															with CaptureStdout() as cs:
																						run_search()
															UpperCAmelCase				: Tuple											=	[''' num_beams | length_penalty''', model, '''Best score args''']
															UpperCAmelCase				: Any											=	['''Info''']
															if "translation" in task:
																						expected_strings.append('''bleu'''	)
															else:
																						expected_strings.extend(__snake_case	)
															for w in expected_strings:
																						assert w in cs.out
															for w in un_expected_strings:
																						assert w not in cs.out
															assert Path(__snake_case	).exists()
															os.remove(Path(__snake_case	)	)










'''simple docstring'''






from __future__ import annotations

import time

import numpy as np

UpperCamelCase__:     Tuple										=    [8, 5, 9, 7]
UpperCamelCase__:     int										=    [
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
UpperCamelCase__:     List[str]										=    [
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]

class        SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	def __init__(		self    :  str	,    __snake_case    :  list[int]	,    __snake_case    :  list[list[int]]	,    __snake_case    :  list[list[int]]	,    )    ->	None:
								UpperCAmelCase				: Union[str, Any]											=	claim_vector
								UpperCAmelCase				: Tuple											=	allocated_resources_table
								UpperCAmelCase				: List[str]											=	maximum_claim_table







	def   A			(		self    :  Optional[Any]	)    ->	list[int]:
								return [
								    sum(p_item[i] for p_item in self.__allocated_resources_table	)
								    for i in range(len(self.__allocated_resources_table[0]	)	)
								]







	def   A			(		self    :  Union[str, Any]	)    ->	list[int]:
								return np.array(self.__claim_vector	) - np.array(
								    self.__processes_resource_summation()	)







	def   A			(		self    :  str	)    ->	list[list[int]]:
								return [
								    list(np.array(self.__maximum_claim_table[i]	) - np.array(__snake_case	)	)
								    for i, allocated_resource in enumerate(self.__allocated_resources_table	)
								]







	def   A			(		self    :  List[Any]	)    ->	dict[int, list[int]]:
								return {self.__need().index(__snake_case	): i for i in self.__need()}







	def   A			(		self    :  Tuple	,    **__snake_case    :  Union[str, Any]	)    ->	None:
								UpperCAmelCase				: Tuple											=	self.__need()
								UpperCAmelCase				: Union[str, Any]											=	self.__allocated_resources_table
								UpperCAmelCase				: int											=	self.__available_resources()
								UpperCAmelCase				: Tuple											=	self.__need_index_manager()
								for kw, val in kwargs.items():
															if kw and val is True:
																						self.__pretty_data()
								print('''_''' * 50 + '''\n'''	)
								while need_list:
															UpperCAmelCase				: Dict											=	False
															for each_need in need_list:
																						UpperCAmelCase				: Optional[int]											=	True
																						for index, need in enumerate(__snake_case	):
																													if need > available_resources[index]:
																																				UpperCAmelCase				: List[str]											=	False
																																				break
																						if execution:
																													UpperCAmelCase				: str											=	True
																													# get the original index of the process from ind_ctrl db
																													for original_need_index, need_clone in need_index_manager.items():
																																				if each_need == need_clone:
																																											UpperCAmelCase				: Union[str, Any]											=	original_need_index
																													print(F"""Process {process_number + 1} is executing."""	)
																													# remove the process run from stack
																													need_list.remove(__snake_case	)
																													# update available/freed resources stack
																													UpperCAmelCase				: Optional[int]											=	np.array(__snake_case	) + np.array(
																													    alloc_resources_table[process_number]	)
																													print(
																													    '''Updated available resource stack for processes: '''
																													    + ''' '''.join([str(__snake_case	) for x in available_resources]	)	)
																													break
															if safe:
																						print('''The process is in a safe state.\n'''	)
															else:
																						print('''System in unsafe state. Aborting...\n'''	)
																						break







	def   A			(		self    :  Dict	)    ->	Optional[Any]:
								print(''' ''' * 9 + '''Allocated Resource Table'''	)
								for item in self.__allocated_resources_table:
															print(
															    F"""P{self.__allocated_resources_table.index(__snake_case	) + 1}"""
															    + ''' '''.join(F"""{it:>8}""" for it in item	)
															    + '''\n'''	)
								print(''' ''' * 9 + '''System Resource Table'''	)
								for item in self.__maximum_claim_table:
															print(
															    F"""P{self.__maximum_claim_table.index(__snake_case	) + 1}"""
															    + ''' '''.join(F"""{it:>8}""" for it in item	)
															    + '''\n'''	)
								print(
								    '''Current Usage by Active Processes: '''
								    + ''' '''.join(str(__snake_case	) for x in self.__claim_vector	)	)
								print(
								    '''Initial Available Resources:       '''
								    + ''' '''.join(str(__snake_case	) for x in self.__available_resources()	)	)
								time.sleep(1	)


if __name__ == "__main__":
						import doctest

						doctest.testmod()





