



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)
_lowerCAmelCase	:   Optional[Any]    =   logging.getLogger()







def     UpperCAmelCase_		(					snake_case__    ,			snake_case__					)	->     List[Any]:



				"""simple docstring"""





				lowerCAmelCase__		  =  '\n'.join(snake_case__					)
				Path(snake_case__					).open('w'					).writelines(snake_case__					)


_lowerCAmelCase	:   List[str]    =   "patrickvonplaten/t5-tiny-random"
_lowerCAmelCase	:   Tuple    =   "sshleifer/bart-tiny-random"
_lowerCAmelCase	:   int    =   "sshleifer/tiny-mbart"

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


class 	__snake_case   ( SCREAMING_SNAKE_CASE ):
		def 						SCREAMING_SNAKE_CASE_					(							self    ,a_						):







						"""simple docstring"""
						lowerCAmelCase__		  =  Path(self.get_auto_remove_tmp_dir()						) / 'utest_input.source'
						lowerCAmelCase__		  =  input_file_name.parent / 'utest_output.txt'
						assert not output_file_name.exists()
						lowerCAmelCase__		  =  [' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.']
						_dump_articles(a_    ,a_						)

						lowerCAmelCase__		  =  str(Path(self.get_auto_remove_tmp_dir()						) / 'scores.json'						)
						lowerCAmelCase__		  =  'translation_en_to_de' if model == T5_TINY else 'summarization'
						lowerCAmelCase__		  =  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(a_    ,'argv'    ,a_						):
										run_generate()
										assert Path(a_						).exists()
										# os.remove(Path(output_file_name))
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						self.run_eval_tester(a_						)
		@parameterized.expand([BART_TINY, MBART_TINY]						)
		@slow
		def 						SCREAMING_SNAKE_CASE_					(							self    ,a_						):







						"""simple docstring"""
						self.run_eval_tester(a_						)



		@parameterized.expand([T5_TINY, MBART_TINY]						)
		@slow
		def 						SCREAMING_SNAKE_CASE_					(							self    ,a_						):







						"""simple docstring"""
						lowerCAmelCase__		  =  Path(self.get_auto_remove_tmp_dir()						) / 'utest_input.source'
						lowerCAmelCase__		  =  input_file_name.parent / 'utest_output.txt'
						assert not output_file_name.exists()

						lowerCAmelCase__		  =  {
						    '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!',
						    ],
						}

						lowerCAmelCase__		  =  Path(self.get_auto_remove_tmp_dir()						)
						lowerCAmelCase__		  =  str(tmp_dir / 'scores.json'						)
						lowerCAmelCase__		  =  str(tmp_dir / 'val.target'						)
						_dump_articles(a_    ,text['en']						)
						_dump_articles(a_    ,text['de']						)
						lowerCAmelCase__		  =  'translation_en_to_de' if model == T5_TINY else 'summarization'
						lowerCAmelCase__		  =  f'\n            run_eval_search.py\n            {model}\n            {str(a_						)}\n            {str(a_						)}\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(a_    ,'argv'    ,a_						):
										with CaptureStdout() as cs:
														run_search()
										lowerCAmelCase__		  =  [' num_beams | length_penalty', model, 'Best score args']
										lowerCAmelCase__		  =  ['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

from collections.abc import Iterator
from typing import Generic, TypeVar

_lowerCAmelCase	:   List[str]    =   TypeVar("T")


class 	__snake_case   ( Generic[T] ):
		def __init__(							self    ,a_						):







						"""simple docstring"""
						lowerCAmelCase__		  =  data
						lowerCAmelCase__		  =  None



		def __str__(							self						):







						"""simple docstring"""
						return f'{self.data}'



class 	__snake_case   ( Generic[T] ):
		def __init__(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  None
		def __iter__(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self.top
						while node:
										yield node.data
										lowerCAmelCase__		  =  node.next
		def __str__(							self						):







						"""simple docstring"""
						return "->".join([str(a_						) for item in self]						)
		def __len__(							self						):







						"""simple docstring"""
						return len(tuple(iter(self						)						)						)
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						return self.top is None
		def 						SCREAMING_SNAKE_CASE_					(							self    ,a_						):







						"""simple docstring"""
						lowerCAmelCase__		  =  Node(a_						)
						if not self.is_empty():
										lowerCAmelCase__		  =  self.top
						lowerCAmelCase__		  =  node
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						if self.is_empty():
										raise IndexError('pop from empty stack'						)
						assert isinstance(self.top    ,a_						)
						lowerCAmelCase__		  =  self.top
						lowerCAmelCase__		  =  self.top.next
						return pop_node.data
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						if self.is_empty():
										raise IndexError('peek from empty stack'						)

						assert self.top is not None
						return self.top.data



		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  None


if __name__ == "__main__":
	from doctest import testmod

	testmod()
