
"""simple docstring"""






import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin





class 				a__					(						A__   ,							unittest.TestCase       ):
     UpperCAmelCase__         =      CanineTokenizer
     UpperCAmelCase__         =      False



     def  lowerCamelCase_						(							self :Optional[Any]   ):







      '''simple docstring'''



      super().setUp()
      UpperCamelCase_     :					Optional[Any]   	=CanineTokenizer()
      tokenizer.save_pretrained(self.tmpdirname   )



     @cached_property
     def  lowerCamelCase_						(							self :Optional[int]   ):







      '''simple docstring'''



      return CanineTokenizer.from_pretrained('google/canine-s'   )



     def  lowerCamelCase_						(							self :Union[str, Any]      ,  **_lowerCamelCase :Union[str, Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Union[str, Any]   	=self.tokenizer_class.from_pretrained(self.tmpdirname      ,  **_lowerCamelCase   )
      UpperCamelCase_     :					Optional[Any]   	=1_024
      return tokenizer



     @require_torch
     def  lowerCamelCase_						(							self :Any   ):







      '''simple docstring'''



      UpperCamelCase_     :					int   	=self.canine_tokenizer
      UpperCamelCase_     :					Any   	=['Life is like a box of chocolates.', 'You never know what you\'re gonna get.']
      # fmt: off
      UpperCamelCase_     :					str   	=[57_344, 76, 105, 102, 101, 32, 105, 115, 32, 108, 105, 107, 101, 32, 97, 32, 98, 111, 120, 32, 111, 102, 32, 99, 104, 111, 99, 111, 108, 97, 116, 101, 115, 46, 57_345, 0, 0, 0, 0]
      # fmt: on
      UpperCamelCase_     :					List[str]   	=tokenizer(_lowerCamelCase      ,  padding=_lowerCamelCase      ,  return_tensors='pt'   )
      self.assertIsInstance(_lowerCamelCase      ,  _lowerCamelCase   )

      UpperCamelCase_     :					Tuple   	=list(batch.input_ids.numpy()[0]   )

      self.assertListEqual(_lowerCamelCase      ,  _lowerCamelCase   )

      self.assertEqual((2, 39)      ,  batch.input_ids.shape   )
      self.assertEqual((2, 39)      ,  batch.attention_mask.shape   )



     @require_torch
     def  lowerCamelCase_						(							self :int   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[Any]   	=self.canine_tokenizer
      UpperCamelCase_     :					Any   	=['Once there was a man.', 'He wrote a test in HuggingFace Tranformers.']
      UpperCamelCase_     :					str   	=tokenizer(_lowerCamelCase      ,  padding=_lowerCamelCase      ,  return_tensors='pt'   )
      # check if input_ids, attention_mask and token_type_ids are returned
      self.assertIn('input_ids'      ,  _lowerCamelCase   )
      self.assertIn('attention_mask'      ,  _lowerCamelCase   )
      self.assertIn('token_type_ids'      ,  _lowerCamelCase   )



     @require_torch
     def  lowerCamelCase_						(							self :List[Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Tuple   	=self.canine_tokenizer
      UpperCamelCase_     :					Dict   	=[
          'What\'s the weater?',
          'It\'s about 25 degrees.',
      ]
      UpperCamelCase_     :					Tuple   	=tokenizer(
          text_target=_lowerCamelCase      ,  max_length=32      ,  padding='max_length'      ,  truncation=_lowerCamelCase      ,  return_tensors='pt'   )
      self.assertEqual(32      ,  targets['input_ids'].shape[1]   )



     def  lowerCamelCase_						(							self :Optional[Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[Any]   	=self.get_tokenizers()
      for tokenizer in tokenizers:
       with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
        self.assertNotEqual(tokenizer.model_max_length      ,  42   )

        # Now let's start the test
      UpperCamelCase_     :					Optional[Any]   	=self.get_tokenizers()
      for tokenizer in tokenizers:
       with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
        # Isolate this from the other tests because we save additional tokens/etc
        UpperCamelCase_     :					List[str]   	=tempfile.mkdtemp()

        UpperCamelCase_     :					Optional[int]   	=' He is very happy, UNwant\u00E9d,running'
        UpperCamelCase_     :					List[Any]   	=tokenizer.encode(_lowerCamelCase      ,  add_special_tokens=_lowerCamelCase   )
        tokenizer.save_pretrained(_lowerCamelCase   )

        UpperCamelCase_     :					Any   	=tokenizer.__class__.from_pretrained(_lowerCamelCase   )
        UpperCamelCase_     :					Any   	=after_tokenizer.encode(_lowerCamelCase      ,  add_special_tokens=_lowerCamelCase   )
        self.assertListEqual(_lowerCamelCase      ,  _lowerCamelCase   )

        shutil.rmtree(_lowerCamelCase   )

      UpperCamelCase_     :					Optional[Any]   	=self.get_tokenizers(model_max_length=42   )
      for tokenizer in tokenizers:
       with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
        # Isolate this from the other tests because we save additional tokens/etc
        UpperCamelCase_     :					List[str]   	=tempfile.mkdtemp()

        UpperCamelCase_     :					Dict   	=' He is very happy, UNwant\u00E9d,running'

        UpperCamelCase_     :					Union[str, Any]   	=tokenizer.additional_special_tokens

        # We can add a new special token for Canine as follows:
        UpperCamelCase_     :					Any   	=chr(0xe_007   )
        additional_special_tokens.append(_lowerCamelCase   )
        tokenizer.add_special_tokens({'additional_special_tokens': additional_special_tokens}   )
        UpperCamelCase_     :					Union[str, Any]   	=tokenizer.encode(_lowerCamelCase      ,  add_special_tokens=_lowerCamelCase   )
        tokenizer.save_pretrained(_lowerCamelCase   )

        UpperCamelCase_     :					Union[str, Any]   	=tokenizer.__class__.from_pretrained(_lowerCamelCase   )
        UpperCamelCase_     :					str   	=after_tokenizer.encode(_lowerCamelCase      ,  add_special_tokens=_lowerCamelCase   )
        self.assertListEqual(_lowerCamelCase      ,  _lowerCamelCase   )
        self.assertIn(_lowerCamelCase      ,  after_tokenizer.additional_special_tokens   )
        self.assertEqual(after_tokenizer.model_max_length      ,  42   )

        UpperCamelCase_     :					Tuple   	=tokenizer.__class__.from_pretrained(_lowerCamelCase      ,  model_max_length=43   )
        self.assertEqual(tokenizer.model_max_length      ,  43   )

        shutil.rmtree(_lowerCamelCase   )



     def  lowerCamelCase_						(							self :Optional[Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					int   	=self.get_tokenizers(do_lower_case=_lowerCamelCase   )
      for tokenizer in tokenizers:
       with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
        UpperCamelCase_	,     UpperCamelCase_     :					Dict   	=self.get_clean_sequence(_lowerCamelCase   )

        # a special token for Canine can be defined as follows:
        UpperCamelCase_     :					Tuple   	=0xe_005
        UpperCamelCase_     :					Tuple   	=chr(_lowerCamelCase   )

        tokenizer.add_special_tokens({'cls_token': special_token}   )
        UpperCamelCase_     :					str   	=tokenizer.encode(_lowerCamelCase      ,  add_special_tokens=_lowerCamelCase   )
        self.assertEqual(len(_lowerCamelCase   )      ,  1   )

        UpperCamelCase_     :					List[str]   	=tokenizer.decode(ids + encoded_special_token      ,  clean_up_tokenization_spaces=_lowerCamelCase   )
        UpperCamelCase_     :					List[str]   	=tokenizer.encode(_lowerCamelCase      ,  add_special_tokens=_lowerCamelCase   )

        UpperCamelCase_     :					Optional[Any]   	=tokenizer.encode(_lowerCamelCase      ,  add_special_tokens=_lowerCamelCase   )
        UpperCamelCase_     :					Union[str, Any]   	=tokenizer.encode(_lowerCamelCase      ,  add_special_tokens=_lowerCamelCase   )
        self.assertEqual(_lowerCamelCase      ,  input_encoded + special_token_id   )

        UpperCamelCase_     :					str   	=tokenizer.decode(_lowerCamelCase      ,  skip_special_tokens=_lowerCamelCase   )
        self.assertTrue(special_token not in decoded   )



     def  lowerCamelCase_						(							self :Union[str, Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Dict   	=self.get_tokenizers(do_lower_case=_lowerCamelCase   )
      for tokenizer in tokenizers:
       with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
        UpperCamelCase_     :					Optional[Any]   	=chr(0xe_005   )
        UpperCamelCase_     :					Dict   	=chr(0xe_006   )

        # `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
        tokenizer.add_tokens([SPECIAL_TOKEN_1]      ,  special_tokens=_lowerCamelCase   )
        # `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
        # which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
        tokenizer.add_special_tokens({'additional_special_tokens': [SPECIAL_TOKEN_2]}   )

        UpperCamelCase_     :					List[str]   	=tokenizer.tokenize(_lowerCamelCase   )
        UpperCamelCase_     :					Union[str, Any]   	=tokenizer.tokenize(_lowerCamelCase   )

        self.assertEqual(len(_lowerCamelCase   )      ,  1   )
        self.assertEqual(len(_lowerCamelCase   )      ,  1   )
        self.assertEqual(token_a[0]      ,  _lowerCamelCase   )
        self.assertEqual(token_a[0]      ,  _lowerCamelCase   )



     @require_tokenizers
     def  lowerCamelCase_						(							self :Any   ):







      '''simple docstring'''



      UpperCamelCase_     :					str   	=self.get_tokenizers(do_lower_case=_lowerCamelCase   )
      for tokenizer in tokenizers:
       with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
        # a special token for Canine can be defined as follows:
        UpperCamelCase_     :					Any   	=0xe_006
        UpperCamelCase_     :					Union[str, Any]   	=chr(_lowerCamelCase   )

        UpperCamelCase_     :					List[str]   	=AddedToken(_lowerCamelCase      ,  lstrip=_lowerCamelCase   )
        tokenizer.add_special_tokens({'additional_special_tokens': [new_token]}   )

        with tempfile.TemporaryDirectory() as tmp_dir_name:
         tokenizer.save_pretrained(_lowerCamelCase   )
         tokenizer.from_pretrained(_lowerCamelCase   )



     def  lowerCamelCase_						(							self :Tuple   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[int]   	=[]
      if self.test_slow_tokenizer:
       tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())   )

      if self.test_rust_tokenizer:
       tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())   )

      for tokenizer_class, tokenizer_utils in tokenizer_list:
       with tempfile.TemporaryDirectory() as tmp_dir:
        tokenizer_utils.save_pretrained(_lowerCamelCase   )

        with open(os.path.join(_lowerCamelCase      ,  'special_tokens_map.json'   )      ,  encoding='utf-8'   ) as json_file:
         UpperCamelCase_     :					List[Any]   	=json.load(_lowerCamelCase   )

        with open(os.path.join(_lowerCamelCase      ,  'tokenizer_config.json'   )      ,  encoding='utf-8'   ) as json_file:
         UpperCamelCase_     :					int   	=json.load(_lowerCamelCase   )

        # a special token for Canine can be defined as follows:
        UpperCamelCase_     :					Tuple   	=0xe_006
        UpperCamelCase_     :					int   	=chr(_lowerCamelCase   )

        UpperCamelCase_     :					List[Any]   	=[new_token_a]
        UpperCamelCase_     :					Optional[int]   	=[new_token_a]

        with open(os.path.join(_lowerCamelCase      ,  'special_tokens_map.json'   )      ,  'w'      ,  encoding='utf-8'   ) as outfile:
         json.dump(_lowerCamelCase      ,  _lowerCamelCase   )
        with open(os.path.join(_lowerCamelCase      ,  'tokenizer_config.json'   )      ,  'w'      ,  encoding='utf-8'   ) as outfile:
         json.dump(_lowerCamelCase      ,  _lowerCamelCase   )

        # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
        # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
        # "special_tokens_map.json" files
        UpperCamelCase_     :					List[str]   	=tokenizer_class.from_pretrained(_lowerCamelCase      ,  extra_ids=0   )
        self.assertIn(_lowerCamelCase      ,  tokenizer_without_change_in_init.additional_special_tokens   )
        # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
        self.assertEqual(
            [new_token_a]      ,  tokenizer_without_change_in_init.convert_ids_to_tokens(
                tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]   )   )      ,  )

        UpperCamelCase_     :					List[str]   	=0xe_007
        UpperCamelCase_     :					int   	=chr(_lowerCamelCase   )
        # Now we test that we can change the value of additional_special_tokens in the from_pretrained
        UpperCamelCase_     :					List[str]   	=[AddedToken(_lowerCamelCase      ,  lstrip=_lowerCamelCase   )]
        UpperCamelCase_     :					Optional[int]   	=tokenizer_class.from_pretrained(
            _lowerCamelCase      ,  additional_special_tokens=_lowerCamelCase      ,  extra_ids=0   )

        self.assertIn(_lowerCamelCase      ,  tokenizer.additional_special_tokens   )
        # self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
        self.assertEqual(
            [new_token_a]      ,  tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]   )   )   )



     @require_tokenizers
     def  lowerCamelCase_						(							self :Tuple   ):







      '''simple docstring'''



      UpperCamelCase_     :					Tuple   	=self.get_tokenizers(do_lower_case=_lowerCamelCase   )
      for tokenizer in tokenizers:
       with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
        UpperCamelCase_     :					Union[str, Any]   	='hello world'
        if self.space_between_special_tokens:
         UpperCamelCase_     :					Any   	='[CLS] hello world [SEP]'
        else:
         UpperCamelCase_     :					Dict   	=input
        UpperCamelCase_     :					Any   	=tokenizer.encode(_lowerCamelCase      ,  add_special_tokens=_lowerCamelCase   )
        UpperCamelCase_     :					int   	=tokenizer.decode(_lowerCamelCase      ,  spaces_between_special_tokens=self.space_between_special_tokens   )
        self.assertIn(_lowerCamelCase      ,  [output, output.lower()]   )



     def  lowerCamelCase_						(							self :Union[str, Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[int]   	=self.get_tokenizers()
      for tokenizer in tokenizers:
       with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
        UpperCamelCase_     :					Optional[Any]   	=[
            'bos_token',
            'eos_token',
            'unk_token',
            'sep_token',
            'pad_token',
            'cls_token',
            'mask_token',
        ]

      UpperCamelCase_     :					Any   	='a'
      UpperCamelCase_     :					int   	=ord(_lowerCamelCase   )

      for attr in attributes_list:
       setattr(_lowerCamelCase      ,  attr + '_id'      ,  _lowerCamelCase   )
       self.assertEqual(getattr(_lowerCamelCase      ,  _lowerCamelCase   )      ,  _lowerCamelCase   )
       self.assertEqual(getattr(_lowerCamelCase      ,  attr + '_id'   )      ,  _lowerCamelCase   )

       setattr(_lowerCamelCase      ,  attr + '_id'      ,  _lowerCamelCase   )
       self.assertEqual(getattr(_lowerCamelCase      ,  _lowerCamelCase   )      ,  _lowerCamelCase   )
       self.assertEqual(getattr(_lowerCamelCase      ,  attr + '_id'   )      ,  _lowerCamelCase   )

      setattr(_lowerCamelCase      ,  'additional_special_tokens_ids'      ,  []   )
      self.assertListEqual(getattr(_lowerCamelCase      ,  'additional_special_tokens'   )      ,  []   )
      self.assertListEqual(getattr(_lowerCamelCase      ,  'additional_special_tokens_ids'   )      ,  []   )

      UpperCamelCase_     :					List[str]   	=0xe_006
      UpperCamelCase_     :					List[str]   	=chr(_lowerCamelCase   )
      setattr(_lowerCamelCase      ,  'additional_special_tokens_ids'      ,  [additional_special_token_id]   )
      self.assertListEqual(getattr(_lowerCamelCase      ,  'additional_special_tokens'   )      ,  [additional_special_token]   )
      self.assertListEqual(getattr(_lowerCamelCase      ,  'additional_special_tokens_ids'   )      ,  [additional_special_token_id]   )



     def  lowerCamelCase_						(							self :Union[str, Any]   ):







      '''simple docstring'''



      pass



     def  lowerCamelCase_						(							self :List[str]   ):







      '''simple docstring'''



      pass



     def  lowerCamelCase_						(							self :Union[str, Any]   ):







      '''simple docstring'''



      pass



     def  lowerCamelCase_						(							self :Optional[Any]   ):







      '''simple docstring'''



      pass



     def  lowerCamelCase_						(							self :Optional[int]   ):







      '''simple docstring'''



      pass



     def  lowerCamelCase_						(							self :Union[str, Any]   ):







      '''simple docstring'''



      pass



     def  lowerCamelCase_						(							self :Optional[int]   ):







      '''simple docstring'''



      pass




     def  lowerCamelCase_						(							self :Dict   ):







      '''simple docstring'''



      pass


"""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 				a__					(						unittest.TestCase       ):



     @parameterized.expand([(None,), ('foo.json',)]   )
     def  lowerCamelCase_						(							self :Union[str, Any]      ,  _lowerCamelCase :Any   ):







      '''simple docstring'''



      UpperCamelCase_     :					str   	=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   )
       UpperCamelCase_     :					Union[str, Any]   	=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  lowerCamelCase_						(							self :Optional[Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[int]   	=AutoConfig.from_pretrained('gpt2'   )
      UpperCamelCase_     :					Tuple   	=GenerationConfig.from_model_config(_lowerCamelCase   )
      UpperCamelCase_     :					Optional[int]   	=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  lowerCamelCase_						(							self :Tuple   ):







      '''simple docstring'''



      UpperCamelCase_     :					str   	=GenerationConfig()
      UpperCamelCase_     :					Optional[Any]   	={
          'max_new_tokens': 1_024,
          'foo': 'bar',
      }
      UpperCamelCase_     :					Optional[Any]   	=copy.deepcopy(_lowerCamelCase   )
      UpperCamelCase_     :					Optional[int]   	=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      ,  1_024   )

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



     def  lowerCamelCase_						(							self :Union[str, Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Union[str, Any]   	=GenerationConfig()
      UpperCamelCase_     :					Union[str, Any]   	='bar'

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

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

      UpperCamelCase_     :					List[str]   	=GenerationConfig.from_model_config(_lowerCamelCase   )
      assert not hasattr(_lowerCamelCase      ,  'foo'   )  # no new kwargs should be initialized if from config




     def  lowerCamelCase_						(							self :Optional[Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					List[str]   	=GenerationConfig()
      self.assertEqual(default_config.temperature      ,  1.0   )
      self.assertEqual(default_config.do_sample      ,  _lowerCamelCase   )
      self.assertEqual(default_config.num_beams      ,  1   )

      UpperCamelCase_     :					Tuple   	=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   )
       UpperCamelCase_     :					str   	=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 				a__					(						unittest.TestCase       ):



     @classmethod
     def  lowerCamelCase_						(							cls :Optional[Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Dict   	=TOKEN
      HfFolder.save_token(_lowerCamelCase   )



     @classmethod
     def  lowerCamelCase_						(							cls :List[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  lowerCamelCase_						(							self :List[Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					List[str]   	=GenerationConfig(
          do_sample=_lowerCamelCase      ,  temperature=0.7      ,  length_penalty=1.0      ,  )
      config.push_to_hub('test-generation-config'      ,  use_auth_token=self._token   )

      UpperCamelCase_     :					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   )

      UpperCamelCase_     :					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  lowerCamelCase_						(							self :Union[str, Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Union[str, Any]   	=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   )

      UpperCamelCase_     :					int   	=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   )

      UpperCamelCase_     :					Optional[Any]   	=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   )   )
