

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 	UpperCAmelCase_				(				self		,						_lowercase	)->     Union[str, Any]:
         UpperCamelCase_			  =						GenerationConfig(
             do_sample=_lowercase		,						temperature=0.7		,						length_penalty=1.0		,						bad_words_ids=[[1, 2, 3], [4, 5]]		,						)
         with tempfile.TemporaryDirectory() as tmp_dir:
             config.save_pretrained(_lowercase		,						config_name=_lowercase	)
             UpperCamelCase_			  =						GenerationConfig.from_pretrained(_lowercase		,						config_name=_lowercase	)

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






     def 	UpperCAmelCase_				(				self	)->     Dict:
         UpperCamelCase_			  =						AutoConfig.from_pretrained("gpt2"	)
         UpperCamelCase_			  =						GenerationConfig.from_model_config(_lowercase	)
         UpperCamelCase_			  =						GenerationConfig()

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

         # 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	)->     Dict:
         UpperCamelCase_			  =						GenerationConfig()
         UpperCamelCase_			  =						{
             "max_new_tokens": 1_024,
             "foo": "bar",
         }
         UpperCamelCase_			  =						copy.deepcopy(_lowercase	)
         UpperCamelCase_			  =						generation_config.update(**_lowercase	)

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

         # update_kwargs was used to update the config on valid attributes
         self.assertEqual(generation_config.max_new_tokens		,						1_024	)

         # `.update()` returns a dictionary of unused kwargs
         self.assertEqual(_lowercase		,						{"foo": "bar"}	)






     def 	UpperCAmelCase_				(				self	)->     Dict:
         UpperCamelCase_			  =						GenerationConfig()
         UpperCamelCase_			  =						"bar"

         with tempfile.TemporaryDirectory("test-generation-config"	) as tmp_dir:
             generation_config.save_pretrained(_lowercase	)

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

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






     def 	UpperCAmelCase_				(				self	)->     List[str]:
         UpperCamelCase_			  =						GenerationConfig()
         self.assertEqual(default_config.temperature		,						1.0	)
         self.assertEqual(default_config.do_sample		,						_lowercase	)
         self.assertEqual(default_config.num_beams		,						1	)

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

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

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






@is_staging_test
class 						__magic_name__					(							unittest.TestCase				):






     @classmethod
     def 	UpperCAmelCase_				(				cls	)->     Dict:
         UpperCamelCase_			  =						TOKEN
         HfFolder.save_token(_lowercase	)






     @classmethod
     def 	UpperCAmelCase_				(				cls	)->     List[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	)->     Dict:
         UpperCamelCase_			  =						GenerationConfig(
             do_sample=_lowercase		,						temperature=0.7		,						length_penalty=1.0		,						)
         config.push_to_hub("test-generation-config"		,						use_auth_token=self._token	)

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

        # 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(
                 _lowercase		,						repo_id="test-generation-config"		,						push_to_hub=_lowercase		,						use_auth_token=self._token	)

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






     def 	UpperCAmelCase_				(				self	)->     Tuple:
         UpperCamelCase_			  =						GenerationConfig(
             do_sample=_lowercase		,						temperature=0.7		,						length_penalty=1.0		,						)
         config.push_to_hub("valid_org/test-generation-config-org"		,						use_auth_token=self._token	)

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

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

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



def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_ = 4_0_0_0_0_0_0			)->						int:



    """simple docstring"""






    UpperCamelCase_			  =						[0, 1]
    UpperCamelCase_			  =						0
    while fib[i] <= n:
        fib.append(fib[i] + fib[i + 1]			)
        if fib[i + 2] > n:
            break
        i += 1
    UpperCamelCase_			  =						0
    for j in range(len(SCREAMING_SNAKE_CASE_			) - 1			):
        if fib[j] % 2 == 0:
            total += fib[j]

    return total


if __name__ == "__main__":
 print(F'''{solution() = }''')
