import pytest

import datasets.config
from datasets.utils.info_utils import is_small_dataset



@pytest.mark.parametrize("""dataset_size""" ,     [None, 4_00 * 2**20, 6_00 * 2**20]	)
@pytest.mark.parametrize("""input_in_memory_max_size""" ,     ["""default""", 0, 1_00 * 2**20, 9_00 * 2**20]	)
def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       List[Any] ,     __UpperCamelCase    :       Tuple ,     __UpperCamelCase    :       int	)							->					List[str]:







  """simple docstring"""





  if input_in_memory_max_size != "default":
    monkeypatch.setattr(datasets.config ,     """IN_MEMORY_MAX_SIZE""" ,     snake_case_	)
  SCREAMING_SNAKE_CASE__										=      datasets.config.IN_MEMORY_MAX_SIZE
  if input_in_memory_max_size == "default":
    assert in_memory_max_size == 0
  else:
    assert in_memory_max_size == input_in_memory_max_size
  if dataset_size and in_memory_max_size:
    SCREAMING_SNAKE_CASE__										=      dataset_size < in_memory_max_size
  else:
    SCREAMING_SNAKE_CASE__										=      False
  SCREAMING_SNAKE_CASE__										=      is_small_dataset(snake_case_	)
  assert result == expected

'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A			:      int					      =				logging.get_logger(__name__)

_A			:      Any					      =				{'''ctrl''': '''https://huggingface.co/ctrl/resolve/main/config.json'''}







class 				_lowercase     (				UpperCAmelCase__			):


 '''simple docstring'''






 _SCREAMING_SNAKE_CASE     :       Any      	=					"""ctrl"""
 _SCREAMING_SNAKE_CASE     :       Optional[Any]      	=					["""past_key_values"""]
 _SCREAMING_SNAKE_CASE     :       Union[str, Any]      	=					{
     """max_position_embeddings""": """n_positions""",
     """hidden_size""": """n_embd""",
     """num_attention_heads""": """n_head""",
     """num_hidden_layers""": """n_layer""",
 }
 def __init__(      self   :	Any      ,       SCREAMING_SNAKE_CASE__   :	Optional[Any]=24_65_34      ,       SCREAMING_SNAKE_CASE__   :	Optional[int]=2_56      ,       SCREAMING_SNAKE_CASE__   :	Optional[Any]=12_80      ,       SCREAMING_SNAKE_CASE__   :	str=81_92      ,       SCREAMING_SNAKE_CASE__   :	List[str]=48      ,       SCREAMING_SNAKE_CASE__   :	Tuple=16      ,       SCREAMING_SNAKE_CASE__   :	str=0.1      ,       SCREAMING_SNAKE_CASE__   :	Dict=0.1      ,       SCREAMING_SNAKE_CASE__   :	Dict=1e-6      ,       SCREAMING_SNAKE_CASE__   :	Any=0.0_2      ,       SCREAMING_SNAKE_CASE__   :	Tuple=True      ,       **SCREAMING_SNAKE_CASE__   :	Optional[int]      ,       )  ->    Tuple:
  __lowerCAmelCase											=						vocab_size
  __lowerCAmelCase											=						n_positions
  __lowerCAmelCase											=						n_embd
  __lowerCAmelCase											=						n_layer
  __lowerCAmelCase											=						n_head
  __lowerCAmelCase											=						dff
  __lowerCAmelCase											=						resid_pdrop
  __lowerCAmelCase											=						embd_pdrop
  __lowerCAmelCase											=						layer_norm_epsilon
  __lowerCAmelCase											=						initializer_range

  __lowerCAmelCase											=						use_cache

  super().__init__(**SCREAMING_SNAKE_CASE__							)






