





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  SCREAMING_SNAKE_CASE_							(					self    :       Tuple    ,  a    :       List[str] )->     Any:





     """simple docstring"""







     lowercase__			    =						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 )
       lowercase__			    =						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  SCREAMING_SNAKE_CASE_							(					self    :       str )->     Optional[Any]:





     """simple docstring"""







     lowercase__			    =						AutoConfig.from_pretrained('gpt2' )
     lowercase__			    =						GenerationConfig.from_model_config(a )
     lowercase__			    =						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  SCREAMING_SNAKE_CASE_							(					self    :       str )->     Any:





     """simple docstring"""







     lowercase__			    =						GenerationConfig()
     lowercase__			    =						{
         'max_new_tokens': 1_024,
         'foo': 'bar',
     }
     lowercase__			    =						copy.deepcopy(a )
     lowercase__			    =						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  SCREAMING_SNAKE_CASE_							(					self    :       Dict )->     Tuple:





     """simple docstring"""







     lowercase__			    =						GenerationConfig()
     lowercase__			    =						'bar'

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

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

     lowercase__			    =						GenerationConfig.from_model_config(a )
     assert not hasattr(a    ,  'foo' )  # no new kwargs should be initialized if from config


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[str] )->     List[str]:





     """simple docstring"""







     lowercase__			    =						GenerationConfig()
     self.assertEqual(default_config.temperature    ,  1.0 )
     self.assertEqual(default_config.do_sample    ,  a )
     self.assertEqual(default_config.num_beams    ,  1 )

     lowercase__			    =						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 )
       lowercase__			    =						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        SCREAMING_SNAKE_CASE     (unittest.TestCase   ):


   @classmethod
   def  SCREAMING_SNAKE_CASE_							(					cls    :       Tuple )->     List[str]:





     """simple docstring"""







     lowercase__			    =						TOKEN
     HfFolder.save_token(a )


   @classmethod
   def  SCREAMING_SNAKE_CASE_							(					cls    :       Union[str, Any] )->     Optional[int]:





     """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  SCREAMING_SNAKE_CASE_							(					self    :       Any )->     Optional[int]:





     """simple docstring"""







     lowercase__			    =						GenerationConfig(
         do_sample=a    ,  temperature=0.7    ,  length_penalty=1.0    ,  )
     config.push_to_hub('test-generation-config'    ,  use_auth_token=self._token )

     lowercase__			    =						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 )

     lowercase__			    =						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  SCREAMING_SNAKE_CASE_							(					self    :       Optional[Any] )->     List[Any]:





     """simple docstring"""







     lowercase__			    =						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 )

     lowercase__			    =						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 )

     lowercase__			    =						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 ) )









def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE = 50	)       ->     int:
  lowercase__			    =						[[0] * 3 for _ in range(length + 1	)]

  for row_length in range(length + 1	):
    for tile_length in range(2	,		5	):
      for tile_start in range(row_length - tile_length + 1	):
        different_colour_ways_number[row_length][tile_length - 2] += (
            different_colour_ways_number[row_length - tile_start - tile_length][
                tile_length - 2
            ]
            + 1
        )

  return sum(different_colour_ways_number[length]	)


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


