


"""simple docstring"""


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     :   str			    =			logging.getLogger()


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			"\n".join(_UpperCamelCase      )
			Path(_UpperCamelCase      ).open("w"      ).writelines(_UpperCamelCase      )


A     :   Union[str, Any]			    =			"patrickvonplaten/t5-tiny-random"
A     :   Optional[Any]			    =			"sshleifer/bart-tiny-random"
A     :   List[Any]			    =			"sshleifer/tiny-mbart"

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


class   _UpperCamelCase  (   lowerCAmelCase__		):
							'''simple docstring'''







							def 			snake_case				(     self    ,   __a	):
										__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 			snake_case				(     self	):
										self.run_eval_tester(__a	)

							@parameterized.expand([BART_TINY, MBART_TINY]	)
							@slow
							def 			snake_case				(     self    ,   __a	):
										self.run_eval_tester(__a	)



							@parameterized.expand([T5_TINY, MBART_TINY]	)
							@slow
							def 			snake_case				(     self    ,   __a	):
										__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	)	)








"""simple docstring"""


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			if not isinstance(_UpperCamelCase    , _UpperCamelCase      ):
						raise ValueError("iterations must be defined as integers"      )
			if not isinstance(_UpperCamelCase    , _UpperCamelCase      ) or not number >= 1:
						raise ValueError(
						    "starting number must be\n                         and integer and be more than 0"      )
			if not iterations >= 1:
						raise ValueError("Iterations must be done more than 0 times to play FizzBuzz"      )

			__lowerCAmelCase				    =			""
			while number <= iterations:
						if number % 3 == 0:
									out += "Fizz"
						if number % 5 == 0:
									out += "Buzz"
						if 0 not in (number % 3, number % 5):
									out += str(_UpperCamelCase      )

						# print(out)
						number += 1
						out += " "
			return out


if __name__ == "__main__":
	import doctest

	doctest.testmod()




