





from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

__UpperCAmelCase	:       Union[str, Any]    	=							TypeVar("KEY")
__UpperCAmelCase	:       List[Any]    	=							TypeVar("VAL")







@dataclass(frozen=__lowerCamelCase       ,      slots=__lowerCamelCase      )
class    __snake_case	(							Generic[KEY, VAL]      ):





       '''simple docstring'''







       lowerCAmelCase__						=					42
       lowerCAmelCase__						=					42







class    __snake_case	(							_Item      ):





       '''simple docstring'''







       def __init__(  self			:   Any		):
         super().__init__(A							,    A		)






       def __bool__(  self			:   int		):
         return False






__UpperCAmelCase	:       List[str]    	=							_DeletedItem()







class    __snake_case	(							MutableMapping[KEY, VAL]      ):





       '''simple docstring'''







       def __init__(  self			:   List[str]							,    A			:   int = 8							,    A			:   float = 0.75		):
         __snake_case:						Tuple			  =						initial_block_size
         __snake_case:						list[_Item | None]			  =						[None] * initial_block_size
         assert 0.0 < capacity_factor < 1.0
         __snake_case:						Tuple			  =						capacity_factor
         __snake_case:						List[str]			  =						0




       def 							UpperCAmelCase__			(  self			:   Optional[int]							,    A			:   KEY		):
         return hash(A		) % len(self._buckets		)




       def 							UpperCAmelCase__			(  self			:   Any							,    A			:   int		):
         return (ind + 1) % len(self._buckets		)




       def 							UpperCAmelCase__			(  self			:   Optional[Any]							,    A			:   int							,    A			:   KEY							,    A			:   VAL		):
         __snake_case:						Union[str, Any]			  =						self._buckets[ind]
         if not stored:
           __snake_case:						Optional[Any]			  =						_Item(A							,    A		)
           self._len += 1
           return True
         elif stored.key == key:
           __snake_case:						List[Any]			  =						_Item(A							,    A		)
           return True
         else:
           return False




       def 							UpperCAmelCase__			(  self			:   str		):
         __snake_case:						Any			  =						len(self._buckets		) * self._capacity_factor
         return len(self		) >= int(A		)




       def 							UpperCAmelCase__			(  self			:   str		):
         if len(self._buckets		) <= self._initial_block_size:
           return False
         __snake_case:						int			  =						len(self._buckets		) * self._capacity_factor / 2
         return len(self		) < limit




       def 							UpperCAmelCase__			(  self			:   Optional[Any]							,    A			:   int		):
         __snake_case:						Tuple			  =						self._buckets
         __snake_case:						Any			  =						[None] * new_size
         __snake_case:						Any			  =						0
         for item in old_buckets:
           if item:
             self._add_item(item.key							,    item.val		)




       def 							UpperCAmelCase__			(  self			:   Optional[int]		):
         self._resize(len(self._buckets		) * 2		)




       def 							UpperCAmelCase__			(  self			:   int		):
         self._resize(len(self._buckets		) // 2		)




       def 							UpperCAmelCase__			(  self			:   int							,    A			:   KEY		):
         __snake_case:						List[Any]			  =						self._get_bucket_index(A		)
         for _ in range(len(self._buckets		)		):
           yield ind
           __snake_case:						List[Any]			  =						self._get_next_ind(A		)




       def 							UpperCAmelCase__			(  self			:   Optional[int]							,    A			:   KEY							,    A			:   VAL		):
         for ind in self._iterate_buckets(A		):
           if self._try_set(A							,    A							,    A		):
             break




       def __setitem__(  self			:   Union[str, Any]							,    A			:   KEY							,    A			:   VAL		):
         if self._is_full():
           self._size_up()

         self._add_item(A							,    A		)




       def __delitem__(  self			:   Optional[int]							,    A			:   KEY		):
         for ind in self._iterate_buckets(A		):
           __snake_case:						Union[str, Any]			  =						self._buckets[ind]
           if item is None:
             raise KeyError(A		)
           if item is _deleted:
             continue
           if item.key == key:
             __snake_case:						int			  =						_deleted
             self._len -= 1
             break
         if self._is_sparse():
           self._size_down()




       def __getitem__(  self			:   Optional[int]							,    A			:   KEY		):
         for ind in self._iterate_buckets(A		):
           __snake_case:						int			  =						self._buckets[ind]
           if item is None:
             break
           if item is _deleted:
             continue
           if item.key == key:
             return item.val
         raise KeyError(A		)




       def __len__(  self			:   str		):
         return self._len




       def __iter__(  self			:   Tuple		):
         yield from (item.key for item in self._buckets if item)






       def __repr__(  self			:   Tuple		):
         __snake_case:						Any			  =						""" ,""".join(
             f'''{item.key}: {item.val}''' for item in self._buckets if item		)
         return f'''HashMap({val_string})'''













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    __snake_case	(							unittest.TestCase      ):





       '''simple docstring'''







       @parameterized.expand([(None,), ("""foo.json""",)]		)
       def 							UpperCAmelCase__			(  self			:   List[str]							,    A			:   Optional[Any]		):
         __snake_case:						Any			  =						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		)
           __snake_case:						Optional[int]			  =						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			:   Dict		):
         __snake_case:						str			  =						AutoConfig.from_pretrained("""gpt2"""		)
         __snake_case:						Any			  =						GenerationConfig.from_model_config(A		)
         __snake_case:						str			  =						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			:   str		):
         __snake_case:						List[str]			  =						GenerationConfig()
         __snake_case:						Tuple			  =						{
             """max_new_tokens""": 1_024,
             """foo""": """bar""",
         }
         __snake_case:						List[str]			  =						copy.deepcopy(A		)
         __snake_case:						Optional[int]			  =						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							,    1_024		)

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




       def 							UpperCAmelCase__			(  self			:   Tuple		):
         __snake_case:						List[str]			  =						GenerationConfig()
         __snake_case:						Optional[int]			  =						"""bar"""

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

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

         __snake_case:						int			  =						GenerationConfig.from_model_config(A		)
         assert not hasattr(A							,    """foo"""		)  # no new kwargs should be initialized if from config






       def 							UpperCAmelCase__			(  self			:   Dict		):
         __snake_case:						Dict			  =						GenerationConfig()
         self.assertEqual(default_config.temperature							,    1.0		)
         self.assertEqual(default_config.do_sample							,    A		)
         self.assertEqual(default_config.num_beams							,    1		)

         __snake_case:						Union[str, Any]			  =						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		)
           __snake_case:						Tuple			  =						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    __snake_case	(							unittest.TestCase      ):





       '''simple docstring'''







       @classmethod
       def 							UpperCAmelCase__			(  cls			:   List[str]		):
         __snake_case:						Optional[int]			  =						TOKEN
         HfFolder.save_token(A		)




       @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			:   Tuple		):
         __snake_case:						Optional[int]			  =						GenerationConfig(
             do_sample=A							,    temperature=0.7							,    length_penalty=1.0							,    )
         config.push_to_hub("""test-generation-config"""							,    use_auth_token=self._token		)

         __snake_case:						str			  =						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		)

         __snake_case:						Optional[Any]			  =						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			:   List[Any]		):
         __snake_case:						Union[str, Any]			  =						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		)

         __snake_case:						int			  =						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		)

         __snake_case:						Optional[int]			  =						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		)		)






