





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 					A_					(   unittest.TestCase						):







       """simple docstring"""





       @parameterized.expand([(None,), ('foo.json',)]	)
       def  __UpperCAmelCase			(     self						:						Any    ,__A						:						Any	)    ->       Optional[Any]:
         _lowercase						    =			GenerationConfig(
             do_sample=__A    ,temperature=0.7    ,length_penalty=1.0    ,bad_words_ids=[[1, 2, 3], [4, 5]]    ,)
         with tempfile.TemporaryDirectory() as tmp_dir:
           config.save_pretrained(__A    ,config_name=__A	)
           _lowercase						    =			GenerationConfig.from_pretrained(__A    ,config_name=__A	)

         # Checks parameters that were specified
         self.assertEqual(loaded_config.do_sample    ,__A	)
         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    ,__A	)







       def  __UpperCAmelCase			(     self						:						int	)    ->       List[str]:
         _lowercase						    =			AutoConfig.from_pretrained('gpt2'	)
         _lowercase						    =			GenerationConfig.from_model_config(__A	)
         _lowercase						    =			GenerationConfig()

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

         # 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  __UpperCAmelCase			(     self						:						Optional[int]	)    ->       Any:
         _lowercase						    =			GenerationConfig()
         _lowercase						    =			{
             'max_new_tokens': 1024,
             'foo': 'bar',
         }
         _lowercase						    =			copy.deepcopy(__A	)
         _lowercase						    =			generation_config.update(**__A	)

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

         # 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(__A    ,{'foo': 'bar'}	)







       def  __UpperCAmelCase			(     self						:						List[Any]	)    ->       List[Any]:
         _lowercase						    =			GenerationConfig()
         _lowercase						    =			'bar'

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

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

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







       def  __UpperCAmelCase			(     self						:						List[Any]	)    ->       Dict:
         _lowercase						    =			GenerationConfig()
         self.assertEqual(default_config.temperature    ,1.0	)
         self.assertEqual(default_config.do_sample    ,__A	)
         self.assertEqual(default_config.num_beams    ,1	)

         _lowercase						    =			GenerationConfig(
             do_sample=__A    ,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    ,__A	)
         self.assertEqual(config.num_beams    ,1	)

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

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





@is_staging_test
class 					A_					(   unittest.TestCase						):







       """simple docstring"""





       @classmethod
       def  __UpperCAmelCase			(     cls						:						Optional[Any]	)    ->       Optional[int]:
         _lowercase						    =			TOKEN
         HfFolder.save_token(__A	)







       @classmethod
       def  __UpperCAmelCase			(     cls						:						List[str]	)    ->       Union[str, Any]:
         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  __UpperCAmelCase			(     self						:						Tuple	)    ->       List[Any]:
         _lowercase						    =			GenerationConfig(
             do_sample=__A    ,temperature=0.7    ,length_penalty=1.0    ,)
         config.push_to_hub('test-generation-config'    ,use_auth_token=self._token	)

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

        # 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(
               __A    ,repo_id='test-generation-config'    ,push_to_hub=__A    ,use_auth_token=self._token	)

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







       def  __UpperCAmelCase			(     self						:						Optional[int]	)    ->       Tuple:
         _lowercase						    =			GenerationConfig(
             do_sample=__A    ,temperature=0.7    ,length_penalty=1.0    ,)
         config.push_to_hub('valid_org/test-generation-config-org'    ,use_auth_token=self._token	)

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

        # 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(
               __A    ,repo_id='valid_org/test-generation-config-org'    ,push_to_hub=__A    ,use_auth_token=self._token	)

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



'''simple docstring'''





# Lint as: python3
import itertools
import os
import re


UpperCAmelCase__  			=				re.compile(r'''([A-Z]+)([A-Z][a-z])''')
UpperCAmelCase__  			=				re.compile(r'''([a-z\d])([A-Z])''')

UpperCAmelCase__  			=				re.compile(r'''(?<!_)_(?!_)''')
UpperCAmelCase__  			=				re.compile(r'''(_{2,})''')

UpperCAmelCase__  			=				r'''^\w+(\.\w+)*$'''

UpperCAmelCase__  			=				r'''<>:/\|?*'''






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: Union[str, Any] ):






			"""simple docstring"""




			__A=	_uppercase_uppercase_re.sub(r'\1_\2',_SCREAMING_SNAKE_CASE )
			__A=	_lowercase_uppercase_re.sub(r'\1_\2',_SCREAMING_SNAKE_CASE )
			return name.lower()






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: int ):






			"""simple docstring"""




			__A=	_single_underscore_re.split(_SCREAMING_SNAKE_CASE )
			__A=	[_multiple_underscores_re.split(_SCREAMING_SNAKE_CASE ) for n in name]
			return "".join(n.capitalize() for n in itertools.chain.from_iterable(_SCREAMING_SNAKE_CASE ) if n != '' )






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: str ):






			"""simple docstring"""




			if os.path.basename(_SCREAMING_SNAKE_CASE ) != name:
						raise ValueError(f"""Should be a dataset name, not a path: {name}""" )
			return camelcase_to_snakecase(_SCREAMING_SNAKE_CASE )






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: Union[str, Any],_SCREAMING_SNAKE_CASE					: str ):






			"""simple docstring"""




			if os.path.basename(_SCREAMING_SNAKE_CASE ) != name:
						raise ValueError(f"""Should be a dataset name, not a path: {name}""" )
			if not re.match(_split_re,_SCREAMING_SNAKE_CASE ):
						raise ValueError(f"""Split name should match '{_split_re}'' but got '{split}'.""" )
			return f"""{filename_prefix_for_name(_SCREAMING_SNAKE_CASE )}-{split}"""






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: Union[str, Any],_SCREAMING_SNAKE_CASE					: Optional[Any],_SCREAMING_SNAKE_CASE					: Optional[int],_SCREAMING_SNAKE_CASE					: Union[str, Any]=None ):






			"""simple docstring"""




			__A=	filename_prefix_for_split(_SCREAMING_SNAKE_CASE,_SCREAMING_SNAKE_CASE )
			if filetype_suffix:
						prefix += f""".{filetype_suffix}"""
			__A=	os.path.join(_SCREAMING_SNAKE_CASE,_SCREAMING_SNAKE_CASE )
			return f"""{filepath}*"""






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: int,_SCREAMING_SNAKE_CASE					: List[str],_SCREAMING_SNAKE_CASE					: int,_SCREAMING_SNAKE_CASE					: List[Any]=None,_SCREAMING_SNAKE_CASE					: List[str]=None ):






			"""simple docstring"""




			__A=	filename_prefix_for_split(_SCREAMING_SNAKE_CASE,_SCREAMING_SNAKE_CASE )
			__A=	os.path.join(_SCREAMING_SNAKE_CASE,_SCREAMING_SNAKE_CASE )

			if shard_lengths:
						__A=	len(_SCREAMING_SNAKE_CASE )
						__A=	[f"""{prefix}-{shard_id:05d}-of-{num_shards:05d}""" for shard_id in range(_SCREAMING_SNAKE_CASE )]
						if filetype_suffix:
									__A=	[filename + f""".{filetype_suffix}""" for filename in filenames]
						return filenames
			else:
						__A=	prefix
						if filetype_suffix:
									filename += f""".{filetype_suffix}"""
						return [filename]



