


'''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 						__SCREAMING_SNAKE_CASE					(      unittest.TestCase ):






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

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






     def  a_					(			self		)       ->    Optional[Any]:
           _a						=		AutoConfig.from_pretrained("gpt2"		)
           _a						=		GenerationConfig.from_model_config(__UpperCamelCase		)
           _a						=		GenerationConfig()

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

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

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

           # 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(__UpperCamelCase     ,							{"foo": "bar"}		)






     def  a_					(			self		)       ->    Any:
           _a						=		GenerationConfig()
           _a						=		"bar"

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

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

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






     def  a_					(			self		)       ->    Dict:
           _a						=		GenerationConfig()
           self.assertEqual(default_config.temperature     ,							1.0		)
           self.assertEqual(default_config.do_sample     ,							__UpperCamelCase		)
           self.assertEqual(default_config.num_beams     ,							1		)

           _a						=		GenerationConfig(
               do_sample=__UpperCamelCase     ,							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     ,							__UpperCamelCase		)
           self.assertEqual(config.num_beams     ,							1		)

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

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







@is_staging_test
class 						__SCREAMING_SNAKE_CASE					(      unittest.TestCase ):






     @classmethod
     def  a_					(			cls		)       ->    int:
           _a						=		TOKEN
           HfFolder.save_token(__UpperCamelCase		)






     @classmethod
     def  a_					(			cls		)       ->    List[str]:
           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  a_					(			self		)       ->    Any:
           _a						=		GenerationConfig(
               do_sample=__UpperCamelCase     ,							temperature=0.7     ,							length_penalty=1.0     ,							)
           config.push_to_hub("test-generation-config"     ,							use_auth_token=self._token		)

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

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

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






     def  a_					(			self		)       ->    int:
           _a						=		GenerationConfig(
               do_sample=__UpperCamelCase     ,							temperature=0.7     ,							length_penalty=1.0     ,							)
           config.push_to_hub("valid_org/test-generation-config-org"     ,							use_auth_token=self._token		)

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

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

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





'''simple docstring'''

class 						__SCREAMING_SNAKE_CASE					:






     def __init__(			self     ,							__UpperCamelCase		)       ->    Optional[Any]:
          # we need a list not a string, so do something to change the type
          _a						=		arr.split(","		)






     def  a_					(			self		)       ->    List[Any]:
          _a						=		[int(self.array[0]		)] * len(self.array		)
          _a						=		[int(self.array[0]		)] * len(self.array		)
          for i in range(1     ,							len(self.array		)		):
               _a						=		max(
                   int(self.array[i]		) + sum_value[i - 1]     ,							int(self.array[i]		)		)
               _a						=		max(sum_value[i]     ,							rear[i - 1]		)
          return rear[len(self.array		) - 1]


if __name__ == "__main__":
   lowercase__				     =		input("please input some numbers:")
   lowercase__				     =		SubArray(whole_array)
   lowercase__				     =		array.solve_sub_array()
   print(("the results is:", re))

