






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)
lowercase    				=   logging.getLogger()





def 		__UpperCAmelCase     (	a_				,	a_):
							snake_case_           =				'\n'.join(a_)
							Path(a_).open('w').writelines(a_)


lowercase    				=   "patrickvonplaten/t5-tiny-random"
lowercase    				=   "sshleifer/bart-tiny-random"
lowercase    				=   "sshleifer/tiny-mbart"

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




class 					UpperCamelCase_ (     snake_case_							):



	'''simple docstring'''




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

								snake_case_           =				str(Path(self.get_auto_remove_tmp_dir()   ) / 'scores.json'   )
								snake_case_           =				'translation_en_to_de' if model == T5_TINY else 'summarization'
								snake_case_           =				F'''
            run_eval_search.py
            {model}
            {input_file_name}
            {output_file_name}
            --score_path {score_path}
            --task {task}
            --num_beams 2
            --length_penalty 2.0
            '''.split()

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




	def 				_UpperCamelCase     (			self   )			->       str:
								self.run_eval_tester(a   )




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






	@parameterized.expand([T5_TINY, MBART_TINY]   )
	@slow
	def 				_UpperCamelCase     (			self			,     a   )			->       str:
								snake_case_           =				Path(self.get_auto_remove_tmp_dir()   ) / 'utest_input.source'
								snake_case_           =				input_file_name.parent / 'utest_output.txt'
								assert not output_file_name.exists()

								snake_case_           =				{
								    '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!',
								    ],
								}

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

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













from __future__ import annotations

import sys
from collections import deque
from typing import Generic, TypeVar

lowercase    				=   TypeVar("T")




class 					UpperCamelCase_ (     Generic[T]							):



	'''simple docstring'''




	lowerCAmelCase						=					42  # Cache store of keys
	lowerCAmelCase						=					42  # References of the keys in cache
	lowerCAmelCase						=					1_0  # Maximum capacity of cache




	def __init__(			self			,     a   )			->       None:
								snake_case_           =				deque()
								snake_case_           =				set()
								if not n:
															snake_case_           =				sys.maxsize
								elif n < 0:
															raise ValueError('n should be an integer greater than 0.'   )
								else:
															snake_case_           =				n




	def 				_UpperCamelCase     (			self			,     a   )			->       None:
								if x not in self.key_reference:
															if len(self.dq_store   ) == LRUCache._MAX_CAPACITY:
																						snake_case_           =				self.dq_store.pop()
																						self.key_reference.remove(a   )
								else:
															self.dq_store.remove(a   )

								self.dq_store.appendleft(a   )
								self.key_reference.add(a   )




	def 				_UpperCamelCase     (			self   )			->       None:
								for k in self.dq_store:
															print(a   )






	def __repr__(			self   )			->       str:
								return F'''LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store   )}'''


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	lowercase    				=   LRUCache(4)
	lru_cache.refer("A")
	lru_cache.refer(2)
	lru_cache.refer(3)
	lru_cache.refer("A")
	lru_cache.refer(4)
	lru_cache.refer(5)
	lru_cache.display()

	print(lru_cache)
	assert str(lru_cache) == "LRUCache(4) => [5, 4, 'A', 3]"





