

"""simple docstring"""



import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / 'utils'))

from test_module.custom_configuration import CustomConfig  # noqa E402


SCREAMING_SNAKE_CASE_					:	Union[str, Any]							  =						{
    'return_dict': False,
    'output_hidden_states': True,
    'output_attentions': True,
    'torchscript': True,
    'torch_dtype': 'float16',
    'use_bfloat16': True,
    'tf_legacy_loss': True,
    'pruned_heads': {'a': 1},
    'tie_word_embeddings': False,
    'is_decoder': True,
    'cross_attention_hidden_size': 1_2_8,
    'add_cross_attention': True,
    'tie_encoder_decoder': True,
    'max_length': 5_0,
    'min_length': 3,
    'do_sample': True,
    'early_stopping': True,
    'num_beams': 3,
    'num_beam_groups': 3,
    'diversity_penalty': 0.5,
    'temperature': 2.0,
    'top_k': 1_0,
    'top_p': 0.7,
    'typical_p': 0.2,
    'repetition_penalty': 0.8,
    'length_penalty': 0.8,
    'no_repeat_ngram_size': 5,
    'encoder_no_repeat_ngram_size': 5,
    'bad_words_ids': [1, 2, 3],
    'num_return_sequences': 3,
    'chunk_size_feed_forward': 5,
    'output_scores': True,
    'return_dict_in_generate': True,
    'forced_bos_token_id': 2,
    'forced_eos_token_id': 3,
    'remove_invalid_values': True,
    'architectures': ['BertModel'],
    'finetuning_task': 'translation',
    'id2label': {0: 'label'},
    'label2id': {'label': '0'},
    'tokenizer_class': 'BertTokenizerFast',
    'prefix': 'prefix',
    'bos_token_id': 6,
    'pad_token_id': 7,
    'eos_token_id': 8,
    'sep_token_id': 9,
    'decoder_start_token_id': 1_0,
    'exponential_decay_length_penalty': (5, 1.01),
    'suppress_tokens': [0, 1],
    'begin_suppress_tokens': 2,
    'task_specific_params': {'translation': 'some_params'},
    'problem_type': 'regression',
}



@is_staging_test
class 					a						(       unittest.TestCase				):



    """simple docstring"""



    @classmethod
    def 				UpperCamelCase	(     cls: List[str]       ):






         """simple docstring"""


         A__										=  TOKEN
         HfFolder.save_token(UpperCamelCase       )

    @classmethod
    def 				UpperCamelCase	(     cls: Any       ):






         """simple docstring"""


         try:
              delete_repo(token=cls._token    ,						repo_id="""test-config"""       )
         except HTTPError:
              pass

         try:
              delete_repo(token=cls._token    ,						repo_id="""valid_org/test-config-org"""       )
         except HTTPError:
              pass

         try:
              delete_repo(token=cls._token    ,						repo_id="""test-dynamic-config"""       )
         except HTTPError:
              pass

    def 				UpperCamelCase	(     self: Dict       ):






         """simple docstring"""


         A__										=  BertConfig(
             vocab_size=99    ,						hidden_size=32    ,						num_hidden_layers=5    ,						num_attention_heads=4    ,						intermediate_size=37       )
         config.push_to_hub("""test-config"""    ,						use_auth_token=self._token       )

         A__										=  BertConfig.from_pretrained(f"""{USER}/test-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-config"""       )

         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
              config.save_pretrained(UpperCamelCase    ,						repo_id="""test-config"""    ,						push_to_hub=UpperCamelCase    ,						use_auth_token=self._token       )

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

    def 				UpperCamelCase	(     self: List[str]       ):






         """simple docstring"""


         A__										=  BertConfig(
             vocab_size=99    ,						hidden_size=32    ,						num_hidden_layers=5    ,						num_attention_heads=4    ,						intermediate_size=37       )
         config.push_to_hub("""valid_org/test-config-org"""    ,						use_auth_token=self._token       )

         A__										=  BertConfig.from_pretrained("""valid_org/test-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-config-org"""       )

         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
              config.save_pretrained(
                  UpperCamelCase    ,						repo_id="""valid_org/test-config-org"""    ,						push_to_hub=UpperCamelCase    ,						use_auth_token=self._token       )

         A__										=  BertConfig.from_pretrained("""valid_org/test-config-org"""       )
         for k, v in config.to_dict().items():
              if k != "transformers_version":
                   self.assertEqual(UpperCamelCase    ,						getattr(UpperCamelCase    ,						UpperCamelCase       )       )





    def 				UpperCamelCase	(     self: Optional[Any]       ):






         """simple docstring"""


         CustomConfig.register_for_auto_class()
         A__										=  CustomConfig(attribute=42       )

         config.push_to_hub("""test-dynamic-config"""    ,						use_auth_token=self._token       )

         # This has added the proper auto_map field to the config
         self.assertDictEqual(config.auto_map    ,						{"""AutoConfig""": """custom_configuration.CustomConfig"""}       )

         A__										=  AutoConfig.from_pretrained(f"""{USER}/test-dynamic-config"""    ,						trust_remote_code=UpperCamelCase       )
         # Can't make an isinstance check because the new_config is from the FakeConfig class of a dynamic module
         self.assertEqual(new_config.__class__.__name__    ,						"""CustomConfig"""       )
         self.assertEqual(new_config.attribute    ,						42       )



class 					a						(       unittest.TestCase				):



    """simple docstring"""



    def 				UpperCamelCase	(     self: Optional[Any]       ):






         """simple docstring"""


         A__										=  GPTaConfig()

         # attempt to modify each of int/float/bool/str config records and verify they were updated
         A__										=  c.n_embd + 1  # int
         A__										=  c.resid_pdrop + 1.0  # float
         A__										=  not c.scale_attn_weights  # bool
         A__										=  c.summary_type + """foo"""  # str
         c.update_from_string(
             f"""n_embd={n_embd},resid_pdrop={resid_pdrop},scale_attn_weights={scale_attn_weights},summary_type={summary_type}"""       )
         self.assertEqual(UpperCamelCase    ,						c.n_embd    ,						"""mismatch for key: n_embd"""       )
         self.assertEqual(UpperCamelCase    ,						c.resid_pdrop    ,						"""mismatch for key: resid_pdrop"""       )
         self.assertEqual(UpperCamelCase    ,						c.scale_attn_weights    ,						"""mismatch for key: scale_attn_weights"""       )
         self.assertEqual(UpperCamelCase    ,						c.summary_type    ,						"""mismatch for key: summary_type"""       )

    def 				UpperCamelCase	(     self: Any       ):






         """simple docstring"""


         A__										=  PretrainedConfig()
         A__										=  [key for key in base_config.__dict__ if key not in config_common_kwargs]
         # If this part of the test fails, you have arguments to addin config_common_kwargs above.
         self.assertListEqual(
             UpperCamelCase    ,						["""is_encoder_decoder""", """_name_or_path""", """_commit_hash""", """transformers_version"""]       )
         A__										=  [key for key, value in config_common_kwargs.items() if value == getattr(UpperCamelCase    ,						UpperCamelCase       )]
         if len(UpperCamelCase       ) > 0:
              raise ValueError(
                  """The following keys are set with the default values in"""
                  """ `test_configuration_common.config_common_kwargs` pick another value for them:"""
                  f""" {', '.join(UpperCamelCase       )}."""       )

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






         """simple docstring"""


         with self.assertRaises(UpperCamelCase       ):
              # config is in subfolder, the following should not work without specifying the subfolder
              A__										=  BertConfig.from_pretrained("""hf-internal-testing/tiny-random-bert-subfolder"""       )

         A__										=  BertConfig.from_pretrained("""hf-internal-testing/tiny-random-bert-subfolder"""    ,						subfolder="""bert"""       )

         self.assertIsNotNone(UpperCamelCase       )

    def 				UpperCamelCase	(     self: str       ):






         """simple docstring"""


         A__										=  mock.Mock()
         A__										=  5_00
         A__										=  {}
         A__										=  HTTPError
         A__										=  {}

         # Download this model to make sure it's in the cache.
         A__										=  BertConfig.from_pretrained("""hf-internal-testing/tiny-random-bert"""       )

         # Under the mock environment we get a 500 error when trying to reach the model.
         with mock.patch("""requests.Session.request"""    ,						return_value=UpperCamelCase       ) as mock_head:
              A__										=  BertConfig.from_pretrained("""hf-internal-testing/tiny-random-bert"""       )
              # This check we did call the fake head request
              mock_head.assert_called()

    def 				UpperCamelCase	(     self: Optional[int]       ):






         """simple docstring"""


         A__										=  BertConfig.from_pretrained(
             """https://huggingface.co/hf-internal-testing/tiny-random-bert/resolve/main/config.json"""       )

    def 				UpperCamelCase	(     self: Optional[Any]       ):






         """simple docstring"""


         A__										=  AutoConfig.from_pretrained("""bert-base-cased"""       )
         A__										=  ["""config.4.0.0.json"""]

         with tempfile.TemporaryDirectory() as tmp_dir:
              configuration.save_pretrained(UpperCamelCase       )
              A__										=  2
              json.dump(configuration.to_dict()    ,						open(os.path.join(UpperCamelCase    ,						"""config.4.0.0.json"""       )    ,						"""w"""       )       )

              # This should pick the new configuration file as the version of Transformers is > 4.0.0
              A__										=  AutoConfig.from_pretrained(UpperCamelCase       )
              self.assertEqual(new_configuration.hidden_size    ,						2       )

              # Will need to be adjusted if we reach v42 and this test is still here.
              # Should pick the old configuration file as the version of Transformers is < 4.42.0
              A__										=  ["""config.42.0.0.json"""]
              A__										=  7_68
              configuration.save_pretrained(UpperCamelCase       )
              shutil.move(os.path.join(UpperCamelCase    ,						"""config.4.0.0.json"""       )    ,						os.path.join(UpperCamelCase    ,						"""config.42.0.0.json"""       )       )
              A__										=  AutoConfig.from_pretrained(UpperCamelCase       )
              self.assertEqual(new_configuration.hidden_size    ,						7_68       )





    def 				UpperCamelCase	(     self: List[str]       ):






         """simple docstring"""


         A__										=  """hf-internal-testing/test-two-configs"""

         import transformers as new_transformers

         A__										=  """v4.0.0"""
         A__			,				A__										=  new_transformers.models.auto.AutoConfig.from_pretrained(
             UpperCamelCase    ,						return_unused_kwargs=UpperCamelCase       )
         self.assertEqual(new_configuration.hidden_size    ,						2       )
         # This checks `_configuration_file` ia not kept in the kwargs by mistake.
         self.assertDictEqual(UpperCamelCase    ,						{}       )

         # Testing an older version by monkey-patching the version in the module it's used.
         import transformers as old_transformers

         A__										=  """v3.0.0"""
         A__										=  old_transformers.models.auto.AutoConfig.from_pretrained(UpperCamelCase       )
         self.assertEqual(old_configuration.hidden_size    ,						7_68       )








"""simple docstring"""



def  _snake_case     (    UpperCAmelCase_  :					list			):
     if len(UpperCAmelCase_			) <= 1:
          return lst

     A__										=  1

     while i < len(UpperCAmelCase_			):
          if lst[i - 1] <= lst[i]:
               i += 1
          else:
               A__			,				A__										=  lst[i], lst[i - 1]
               i -= 1
               if i == 0:
                    A__										=  1

     return lst


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_					:	Union[str, Any]							  =						input('Enter numbers separated by a comma:\n').strip()
 SCREAMING_SNAKE_CASE_					:	Union[str, Any]							  =						[int(item) for item in user_input.split(',')]
 print(gnome_sort(unsorted))






