
"""simple docstring"""




import copy
import tempfile
import unittest

from huggingface_hub import HfFolder, delete_repo
from parameterized import parameterized
from requests.exceptions import HTTPError

from transformers import AutoConfig, GenerationConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test


class 			__magic_name__       (       unittest.TestCase ):
       @parameterized.expand([(None,), ('''foo.json''',)]       )
       def 							lowercase_							(     self ,				A_       )     ->	int:





         """simple docstring"""




         _lowercase:			Optional[Any]       =     GenerationConfig(
             do_sample=__lowerCAmelCase ,				temperature=0.7 ,				length_penalty=1.0 ,				bad_words_ids=[[1, 2, 3], [4, 5]] ,				)
         with tempfile.TemporaryDirectory() as tmp_dir:
           config.save_pretrained(__lowerCAmelCase ,				config_name=__lowerCAmelCase       )
           _lowercase:			int       =     GenerationConfig.from_pretrained(__lowerCAmelCase ,				config_name=__lowerCAmelCase       )

         # Checks parameters that were specified
         self.assertEqual(loaded_config.do_sample ,				__lowerCAmelCase       )
         self.assertEqual(loaded_config.temperature ,				0.7       )
         self.assertEqual(loaded_config.length_penalty ,				1.0       )
         self.assertEqual(loaded_config.bad_words_ids ,				[[1, 2, 3], [4, 5]]       )

         # Checks parameters that were not specified (defaults)
         self.assertEqual(loaded_config.top_k ,				50       )
         self.assertEqual(loaded_config.max_length ,				20       )
         self.assertEqual(loaded_config.max_time ,				__lowerCAmelCase       )
       def 							lowercase_							(     self       )     ->	int:





         """simple docstring"""




         _lowercase:			List[Any]       =     AutoConfig.from_pretrained('''gpt2'''       )
         _lowercase:			List[str]       =     GenerationConfig.from_model_config(__lowerCAmelCase       )
         _lowercase:			Any       =     GenerationConfig()

         # The generation config has loaded a few non-default parameters from the model config
         self.assertNotEqual(__lowerCAmelCase ,				__lowerCAmelCase       )

         # One of those parameters is eos_token_id -- check if it matches
         self.assertNotEqual(generation_config_from_model.eos_token_id ,				default_generation_config.eos_token_id       )
         self.assertEqual(generation_config_from_model.eos_token_id ,				model_config.eos_token_id       )
       def 							lowercase_							(     self       )     ->	int:





         """simple docstring"""




         _lowercase:			Tuple       =     GenerationConfig()
         _lowercase:			Optional[int]       =     {
             '''max_new_tokens''': 1024,
             '''foo''': '''bar''',
         }
         _lowercase:			int       =     copy.deepcopy(__lowerCAmelCase       )
         _lowercase:			Tuple       =     generation_config.update(**__lowerCAmelCase       )

         # update_kwargs was not modified (no side effects)
         self.assertEqual(__lowerCAmelCase ,				__lowerCAmelCase       )

         # update_kwargs was used to update the config on valid attributes
         self.assertEqual(generation_config.max_new_tokens ,				1024       )

         # `.update()` returns a dictionary of unused kwargs
         self.assertEqual(__lowerCAmelCase ,				{'''foo''': '''bar'''}       )
       def 							lowercase_							(     self       )     ->	Tuple:





         """simple docstring"""




         _lowercase:			str       =     GenerationConfig()
         _lowercase:			Tuple       =     '''bar'''

         with tempfile.TemporaryDirectory('''test-generation-config'''       ) as tmp_dir:
           generation_config.save_pretrained(__lowerCAmelCase       )

           _lowercase:			Dict       =     GenerationConfig.from_pretrained(__lowerCAmelCase       )
         # update_kwargs was used to update the config on valid attributes
         self.assertEqual(new_config.foo ,				'''bar'''       )

         _lowercase:			Dict       =     GenerationConfig.from_model_config(__lowerCAmelCase       )
         assert not hasattr(__lowerCAmelCase ,				'''foo'''       )  # no new kwargs should be initialized if from config



       def 							lowercase_							(     self       )     ->	Dict:





         """simple docstring"""




         _lowercase:			str       =     GenerationConfig()
         self.assertEqual(default_config.temperature ,				1.0       )
         self.assertEqual(default_config.do_sample ,				__lowerCAmelCase       )
         self.assertEqual(default_config.num_beams ,				1       )

         _lowercase:			Union[str, Any]       =     GenerationConfig(
             do_sample=__lowerCAmelCase ,				temperature=0.7 ,				length_penalty=1.0 ,				bad_words_ids=[[1, 2, 3], [4, 5]] ,				)
         self.assertEqual(config.temperature ,				0.7       )
         self.assertEqual(config.do_sample ,				__lowerCAmelCase       )
         self.assertEqual(config.num_beams ,				1       )

         with tempfile.TemporaryDirectory() as tmp_dir:
           config.save_pretrained(__lowerCAmelCase       )
           _lowercase:			Dict       =     GenerationConfig.from_pretrained(__lowerCAmelCase ,				temperature=1.0       )

         self.assertEqual(loaded_config.temperature ,				1.0       )
         self.assertEqual(loaded_config.do_sample ,				__lowerCAmelCase       )
         self.assertEqual(loaded_config.num_beams ,				1       )  # default value


@is_staging_test
class 			__magic_name__       (       unittest.TestCase ):
       @classmethod
       def 							lowercase_							(     cls       )     ->	Optional[Any]:





         """simple docstring"""




         _lowercase:			str       =     TOKEN
         HfFolder.save_token(__lowerCAmelCase       )
       @classmethod
       def 							lowercase_							(     cls       )     ->	Any:





         """simple docstring"""




         try:
           delete_repo(token=cls._token ,				repo_id='''test-generation-config'''       )
         except HTTPError:
           pass

         try:
           delete_repo(token=cls._token ,				repo_id='''valid_org/test-generation-config-org'''       )
         except HTTPError:
           pass
       def 							lowercase_							(     self       )     ->	Dict:





         """simple docstring"""




         _lowercase:			str       =     GenerationConfig(
             do_sample=__lowerCAmelCase ,				temperature=0.7 ,				length_penalty=1.0 ,				)
         config.push_to_hub('''test-generation-config''' ,				use_auth_token=self._token       )

         _lowercase:			List[Any]       =     GenerationConfig.from_pretrained(f'''{USER}/test-generation-config'''       )
         for k, v in config.to_dict().items():
           if k != "transformers_version":
             self.assertEqual(__lowerCAmelCase ,				getattr(__lowerCAmelCase ,				__lowerCAmelCase       )       )

        # Reset repo
         delete_repo(token=self._token ,				repo_id='''test-generation-config'''       )

         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
           config.save_pretrained(
               __lowerCAmelCase ,				repo_id='''test-generation-config''' ,				push_to_hub=__lowerCAmelCase ,				use_auth_token=self._token       )

         _lowercase:			Any       =     GenerationConfig.from_pretrained(f'''{USER}/test-generation-config'''       )
         for k, v in config.to_dict().items():
           if k != "transformers_version":
             self.assertEqual(__lowerCAmelCase ,				getattr(__lowerCAmelCase ,				__lowerCAmelCase       )       )



       def 							lowercase_							(     self       )     ->	Any:





         """simple docstring"""




         _lowercase:			int       =     GenerationConfig(
             do_sample=__lowerCAmelCase ,				temperature=0.7 ,				length_penalty=1.0 ,				)
         config.push_to_hub('''valid_org/test-generation-config-org''' ,				use_auth_token=self._token       )

         _lowercase:			str       =     GenerationConfig.from_pretrained('''valid_org/test-generation-config-org'''       )
         for k, v in config.to_dict().items():
           if k != "transformers_version":
             self.assertEqual(__lowerCAmelCase ,				getattr(__lowerCAmelCase ,				__lowerCAmelCase       )       )

        # Reset repo
         delete_repo(token=self._token ,				repo_id='''valid_org/test-generation-config-org'''       )

         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
           config.save_pretrained(
               __lowerCAmelCase ,				repo_id='''valid_org/test-generation-config-org''' ,				push_to_hub=__lowerCAmelCase ,				use_auth_token=self._token       )

         _lowercase:			str       =     GenerationConfig.from_pretrained('''valid_org/test-generation-config-org'''       )
         for k, v in config.to_dict().items():
           if k != "transformers_version":
             self.assertEqual(__lowerCAmelCase ,				getattr(__lowerCAmelCase ,				__lowerCAmelCase       )       )







"""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__   :					Any							=   logging.getLogger()




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			Optional[int]       =     '''\n'''.join(_UpperCamelCase						)
  Path(_UpperCamelCase						).open('''w'''						).writelines(_UpperCamelCase						)


A__   :					int							=   'patrickvonplaten/t5-tiny-random'
A__   :					Tuple							=   'sshleifer/bart-tiny-random'
A__   :					Optional[Any]							=   'sshleifer/tiny-mbart'

A__   :					Optional[int]							=   logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks







class 			__magic_name__       (       SCREAMING_SNAKE_CASE__ ):
       def 							lowercase_							(     self ,				A_       )     ->	List[Any]:





         """simple docstring"""




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

         _lowercase:			int       =     str(Path(self.get_auto_remove_tmp_dir()       ) / '''scores.json'''       )
         _lowercase:			Optional[Any]       =     '''translation_en_to_de''' if model == T5_TINY else '''summarization'''
         _lowercase:			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(A_ ,				'''argv''' ,				A_       ):
           run_generate()
           assert Path(A_       ).exists()
           # os.remove(Path(output_file_name))
       def 							lowercase_							(     self       )     ->	Any:





         """simple docstring"""




         self.run_eval_tester(A_       )
       @parameterized.expand([BART_TINY, MBART_TINY]       )
       @slow
       def 							lowercase_							(     self ,				A_       )     ->	Union[str, Any]:





         """simple docstring"""




         self.run_eval_tester(A_       )



       @parameterized.expand([T5_TINY, MBART_TINY]       )
       @slow
       def 							lowercase_							(     self ,				A_       )     ->	List[Any]:





         """simple docstring"""




         _lowercase:			Tuple       =     Path(self.get_auto_remove_tmp_dir()       ) / '''utest_input.source'''
         _lowercase:			Dict       =     input_file_name.parent / '''utest_output.txt'''
         assert not output_file_name.exists()

         _lowercase:			int       =     {
             '''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!''',
             ],
         }

         _lowercase:			Tuple       =     Path(self.get_auto_remove_tmp_dir()       )
         _lowercase:			Tuple       =     str(tmp_dir / '''scores.json'''       )
         _lowercase:			List[str]       =     str(tmp_dir / '''val.target'''       )
         _dump_articles(A_ ,				text['''en''']       )
         _dump_articles(A_ ,				text['''de''']       )
         _lowercase:			Tuple       =     '''translation_en_to_de''' if model == T5_TINY else '''summarization'''
         _lowercase:			Tuple       =     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()
           _lowercase:			List[str]       =     [''' num_beams | length_penalty''', model, '''Best score args''']
           _lowercase:			Union[str, Any]       =     ['''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_       )       )
