
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_						: List[str]         =  logging.getLogger()







def        A__					(						lowerCamelCase     ,    lowerCamelCase						)  ->	Union[str, Any]:
				UpperCamelCase_:							int	=						"""\n""".join(lowerCamelCase						)
				Path(lowerCamelCase						).open("""w"""						).writelines(lowerCamelCase						)


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

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





class        _UpperCamelCase				(					_A  ):






			'''simple docstring'''

			def       lowerCAmelCase__	(       self :       Optional[Any]						,	snake_case_ :       Optional[Any]      ):
							UpperCamelCase_:							Optional[Any]	=						Path(self.get_auto_remove_tmp_dir()      ) / """utest_input.source"""
							UpperCamelCase_:							Optional[int]	=						input_file_name.parent / """utest_output.txt"""
							assert not output_file_name.exists()
							UpperCamelCase_:							Any	=						[""" New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County."""]
							_dump_articles(snake_case_						,	snake_case_      )

							UpperCamelCase_:							Union[str, Any]	=						str(Path(self.get_auto_remove_tmp_dir()      ) / """scores.json"""      )
							UpperCamelCase_:							Tuple	=						"""translation_en_to_de""" if model == T5_TINY else """summarization"""
							UpperCamelCase_:							List[str]	=						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(snake_case_						,	"""argv"""						,	snake_case_      ):
											run_generate()
											assert Path(snake_case_      ).exists()
											# os.remove(Path(output_file_name))

			def       lowerCAmelCase__	(       self :       List[str]      ):
							self.run_eval_tester(snake_case_      )

			@parameterized.expand([BART_TINY, MBART_TINY]      )
			@slow
			def       lowerCAmelCase__	(       self :       Union[str, Any]						,	snake_case_ :       List[Any]      ):
							self.run_eval_tester(snake_case_      )




			@parameterized.expand([T5_TINY, MBART_TINY]      )
			@slow
			def       lowerCAmelCase__	(       self :       Tuple						,	snake_case_ :       Optional[int]      ):
							UpperCamelCase_:							Union[str, Any]	=						Path(self.get_auto_remove_tmp_dir()      ) / """utest_input.source"""
							UpperCamelCase_:							Any	=						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_:							List[Any]	=						Path(self.get_auto_remove_tmp_dir()      )
							UpperCamelCase_:							Dict	=						str(tmp_dir / """scores.json"""      )
							UpperCamelCase_:							Any	=						str(tmp_dir / """val.target"""      )
							_dump_articles(snake_case_						,	text["""en"""]      )
							_dump_articles(snake_case_						,	text["""de"""]      )
							UpperCamelCase_:							List[Any]	=						"""translation_en_to_de""" if model == T5_TINY else """summarization"""
							UpperCamelCase_:							Tuple	=						f'''
            run_eval_search.py
            {model}
            {str(snake_case_      )}
            {str(snake_case_      )}
            --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(snake_case_						,	"""argv"""						,	snake_case_      ):
											with CaptureStdout() as cs:
															run_search()
											UpperCamelCase_:							Optional[int]	=						[""" num_beams | length_penalty""", model, """Best score args"""]
											UpperCamelCase_:							Union[str, 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_      )      )








import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar

class        _UpperCamelCase				(					unittest.TestCase  ):






			'''simple docstring'''

			def       lowerCAmelCase__	(       self :       str      ):
							UpperCamelCase_:							Optional[int]	=						logging.get_logger()

							# the current default level is logging.WARNING
							UpperCamelCase_:							Dict	=						logging.get_verbosity()

							logging.set_verbosity_error()
							self.assertEqual(logger.getEffectiveLevel()						,	logging.get_verbosity()      )

							logging.set_verbosity_warning()
							self.assertEqual(logger.getEffectiveLevel()						,	logging.get_verbosity()      )

							logging.set_verbosity_info()
							self.assertEqual(logger.getEffectiveLevel()						,	logging.get_verbosity()      )

							logging.set_verbosity_debug()
							self.assertEqual(logger.getEffectiveLevel()						,	logging.get_verbosity()      )

							# restore to the original level
							logging.set_verbosity(snake_case_      )

			def       lowerCAmelCase__	(       self :       Optional[int]      ):
							UpperCamelCase_:							Union[str, Any]	=						logging.get_verbosity()

							UpperCamelCase_:							int	=						logging.get_logger("""transformers.models.bart.tokenization_bart"""      )
							UpperCamelCase_:							Union[str, Any]	=						"""Testing 1, 2, 3"""

							# should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
							if level_origin <= logging.WARNING:
											with CaptureLogger(snake_case_      ) as cl:
															logger.warning(snake_case_      )
											self.assertEqual(cl.out						,	msg + """\n"""      )

							# this is setting the level for all of `transformers.*` loggers
							logging.set_verbosity_error()

							# should not be able to log warnings
							with CaptureLogger(snake_case_      ) as cl:
											logger.warning(snake_case_      )
							self.assertEqual(cl.out						,	""""""      )

							# should be able to log warnings again
							logging.set_verbosity_warning()
							with CaptureLogger(snake_case_      ) as cl:
											logger.warning(snake_case_      )
							self.assertEqual(cl.out						,	msg + """\n"""      )

							# restore to the original level
							logging.set_verbosity(snake_case_      )

			@mockenv(TRANSFORMERS_VERBOSITY="""error"""      )
			def       lowerCAmelCase__	(       self :       Optional[int]      ):
							# reset for the env var to take effect, next time some logger call is made
							transformers.utils.logging._reset_library_root_logger()
							# this action activates the env var
							UpperCamelCase_:							List[str]	=						logging.get_logger("""transformers.models.bart.tokenization_bart"""      )

							UpperCamelCase_:							str	=						os.getenv("""TRANSFORMERS_VERBOSITY"""						,	snake_case_      )
							UpperCamelCase_:							Any	=						logging.log_levels[env_level_str]

							UpperCamelCase_:							Dict	=						logging.get_verbosity()
							self.assertEqual(
							    snake_case_						,	snake_case_						,	f'''TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}'''						,	)

							# restore to the original level
							UpperCamelCase_:							str	=						""""""
							transformers.utils.logging._reset_library_root_logger()

			@mockenv(TRANSFORMERS_VERBOSITY="""super-error"""      )
			def       lowerCAmelCase__	(       self :       List[Any]      ):
							# reset for the env var to take effect, next time some logger call is made
							transformers.utils.logging._reset_library_root_logger()
							UpperCamelCase_:							str	=						logging.logging.getLogger()
							with CaptureLogger(snake_case_      ) as cl:
											# this action activates the env var
											logging.get_logger("""transformers.models.bart.tokenization_bart"""      )
							self.assertIn("""Unknown option TRANSFORMERS_VERBOSITY=super-error"""						,	cl.out      )

							# no need to restore as nothing was changed




			def       lowerCAmelCase__	(       self :       List[Any]      ):
							# testing `logger.warning_advice()`
							transformers.utils.logging._reset_library_root_logger()

							UpperCamelCase_:							List[str]	=						logging.get_logger("""transformers.models.bart.tokenization_bart"""      )
							UpperCamelCase_:							Any	=						"""Testing 1, 2, 3"""

							with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS="""1"""      ):
											# nothing should be logged as env var disables this method
											with CaptureLogger(snake_case_      ) as cl:
															logger.warning_advice(snake_case_      )
											self.assertEqual(cl.out						,	""""""      )

							with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=""""""      ):
											# should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
											with CaptureLogger(snake_case_      ) as cl:
															logger.warning_advice(snake_case_      )
											self.assertEqual(cl.out						,	msg + """\n"""      )







def        A__					(						)  ->	Union[str, Any]:
				disable_progress_bar()
				assert are_progress_bars_disabled()

				enable_progress_bar()
				assert not are_progress_bars_disabled()






