
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)
__A							=logging.getLogger()





def      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__       ):
				lowerCamelCase_         =     "\n".join(lowerCamelCase__       )
				Path(lowerCamelCase__       ).open("w"       ).writelines(lowerCamelCase__       )


__A							='''patrickvonplaten/t5-tiny-random'''
__A							='''sshleifer/bart-tiny-random'''
__A							='''sshleifer/tiny-mbart'''

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





class        _SCREAMING_SNAKE_CASE	( snake_case_		):



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Union[str, Any]:
					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(lowercase		,    lowercase					)

					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(lowercase		,    "argv"		,    lowercase					):
									run_generate()
									assert Path(lowercase					).exists()
									# os.remove(Path(output_file_name))



	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					self.run_eval_tester(lowercase					)



	@parameterized.expand([BART_TINY, MBART_TINY]					)
	@slow
	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Optional[int]:
					self.run_eval_tester(lowercase					)



	@parameterized.expand([T5_TINY, MBART_TINY]					)
	@slow
	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Optional[Any]:
					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(lowercase		,    text["en"]					)
					_dump_articles(lowercase		,    text["de"]					)
					lowerCamelCase_         =     "translation_en_to_de" if model == T5_TINY else "summarization"
					lowerCamelCase_         =     f'\n            run_eval_search.py\n            {model}\n            {str(lowercase					)}\n            {str(lowercase					)}\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(lowercase		,    "argv"		,    lowercase					):
									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(lowercase					)
									for w in expected_strings:
													assert w in cs.out
									for w in un_expected_strings:
													assert w not in cs.out
									assert Path(lowercase					).exists()
									os.remove(Path(lowercase					)					)




import enum
import shutil
import sys


__A,		__A							=shutil.get_terminal_size()

__A							={'''UP''': '''A''', '''DOWN''': '''B''', '''RIGHT''': '''C''', '''LEFT''': '''D'''}




class        _SCREAMING_SNAKE_CASE	( enum.Enum		):
	lowerCAmelCase__   =					0
	lowerCAmelCase__   =					1





def      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__=""       ):
				sys.stdout.write(str(lowerCamelCase__       ) + end       )
				sys.stdout.flush()





def      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__      ,					lowerCamelCase__=""       ):
				forceWrite(F'\u001b[{color}m{content}\u001b[0m'      ,					lowerCamelCase__       )





def      lowerCamelCase_					(							):
				forceWrite("\r"       )





def      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__       ):
				forceWrite(F'\033[{num_lines}{CURSOR_TO_CHAR[direction.upper()]}'       )





def      lowerCamelCase_					(							):
				forceWrite(" " * TERMINAL_WIDTH       )
				reset_cursor()





def      lowerCamelCase_					(							):
				reset_cursor()
				forceWrite("-" * TERMINAL_WIDTH       )


