





"""simple docstring"""





from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap
def 					__A  (_SCREAMING_SNAKE_CASE     )   ->Optional[int]:





  """simple docstring"""


  return getitem, k
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )   ->List[str]:





  """simple docstring"""


  return setitem, k, v
def 					__A  (_SCREAMING_SNAKE_CASE     )   ->int:





  """simple docstring"""


  return delitem, k
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  *_SCREAMING_SNAKE_CASE     )   ->Optional[int]:





  """simple docstring"""


  try:
    return fun(_SCREAMING_SNAKE_CASE	,  *_SCREAMING_SNAKE_CASE     ), None
  except Exception as e:
    return None, e


__A											=						(
    _set("""key_a""", """val_a"""),
    _set("""key_b""", """val_b"""),
)

__A											=						[
    _set("""key_a""", """val_a"""),
    _set("""key_a""", """val_b"""),
]

__A											=						[
    _set("""key_a""", """val_a"""),
    _set("""key_b""", """val_b"""),
    _del("""key_a"""),
    _del("""key_b"""),
    _set("""key_a""", """val_a"""),
    _del("""key_a"""),
]

__A											=						[
    _get("""key_a"""),
    _del("""key_a"""),
    _set("""key_a""", """val_a"""),
    _del("""key_a"""),
    _del("""key_a"""),
    _get("""key_a"""),
]

__A											=						[
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

__A											=						[
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
    *[_del(x) for x in range(5)],
    _set("""key_a""", """val_b"""),
]
@pytest.mark.parametrize(
    'operations'	,  (
        pytest.param(_add_items	,  id='add items'     ),
        pytest.param(_overwrite_items	,  id='overwrite items'     ),
        pytest.param(_delete_items	,  id='delete items'     ),
        pytest.param(_access_absent_items	,  id='access absent items'     ),
        pytest.param(_add_with_resize_up	,  id='add with resize up'     ),
        pytest.param(_add_with_resize_down	,  id='add with resize down'     ),
    )	,  )
def 					__A  (_SCREAMING_SNAKE_CASE     )   ->List[Any]:





  """simple docstring"""


  lowerCAmelCase__     :Tuple											=				HashMap(initial_block_size=4     )
  lowerCAmelCase__     :str											=				{}
  for _, (fun, *args) in enumerate(_SCREAMING_SNAKE_CASE     ):
    lowerCAmelCase__				,							lowerCAmelCase__     :List[Any]											=				_run_operation(_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  *_SCREAMING_SNAKE_CASE     )
    lowerCAmelCase__				,							lowerCAmelCase__     :List[str]											=				_run_operation(_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  *_SCREAMING_SNAKE_CASE     )
    assert my_res == py_res
    assert str(_SCREAMING_SNAKE_CASE     ) == str(_SCREAMING_SNAKE_CASE     )
    assert set(_SCREAMING_SNAKE_CASE     ) == set(_SCREAMING_SNAKE_CASE     )
    assert len(_SCREAMING_SNAKE_CASE     ) == len(_SCREAMING_SNAKE_CASE     )
    assert set(my.items()     ) == set(py.items()     )




def 					__A  ()   ->str:





  """simple docstring"""


  def is_public(_SCREAMING_SNAKE_CASE     ) -> bool:
    return not name.startswith('_'     )

  lowerCAmelCase__     :Tuple											=				{name for name in dir({}     ) if is_public(_SCREAMING_SNAKE_CASE     )}
  lowerCAmelCase__     :Optional[Any]											=				{name for name in dir(HashMap()     ) if is_public(_SCREAMING_SNAKE_CASE     )}

  assert dict_public_names > hash_public_names





"""simple docstring"""







from typing import Callable, Optional, Union

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


a_							=    logging.get_logger(__name__)

a_							=    {
    """microsoft/xprophetnet-large-wiki100-cased""": (
        """https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json"""
    ),
}







class 					A_(SCREAMING_SNAKE_CASE_      ):







			"""simple docstring"""



			a_       :			List[Any]												=			"""xlm-prophetnet"""
			a_       :			Any												=			["""past_key_values"""]
			a_       :			Optional[int]												=			{
			    """num_attention_heads""": """num_encoder_attention_heads""",
			}
			def __init__(	self				,   A = 0.1				,   A = "gelu"				,   A = 3_0522				,   A = 1024				,   A = 4096				,   A = 12				,   A = 16				,   A = 4096				,   A = 12				,   A = 16				,   A = 0.1				,   A = 0.1				,   A = 512				,   A = 0.0_2				,   A = True				,   A = True				,   A = 0				,   A = 2				,   A = 32				,   A = 128				,   A = False				,   A = 0.0				,   A = True				,   A = 0				,   A = 1				,   A = 2				,   **A				,   ):
						_lowerCamelCase					:					Dict	       =    vocab_size
						_lowerCamelCase					:					List[Any]	       =    hidden_size
						_lowerCamelCase					:					List[Any]	       =    encoder_ffn_dim
						_lowerCamelCase					:					Any	       =    num_encoder_layers
						_lowerCamelCase					:					Any	       =    num_encoder_attention_heads
						_lowerCamelCase					:					List[str]	       =    decoder_ffn_dim
						_lowerCamelCase					:					Optional[int]	       =    num_decoder_layers
						_lowerCamelCase					:					List[str]	       =    num_decoder_attention_heads
						_lowerCamelCase					:					Optional[Any]	       =    max_position_embeddings
						_lowerCamelCase					:					Optional[Any]	       =    init_std  # Normal(0, this parameter)
						_lowerCamelCase					:					Optional[int]	       =    activation_function

						# parameters for xlmprophetnet
						_lowerCamelCase					:					Any	       =    ngram
						_lowerCamelCase					:					Dict	       =    num_buckets
						_lowerCamelCase					:					Dict	       =    relative_max_distance
						_lowerCamelCase					:					Optional[Any]	       =    disable_ngram_loss
						_lowerCamelCase					:					Union[str, Any]	       =    eps

						# 3 Types of Dropout
						_lowerCamelCase					:					int	       =    attention_dropout
						_lowerCamelCase					:					str	       =    activation_dropout
						_lowerCamelCase					:					Optional[int]	       =    dropout

						_lowerCamelCase					:					List[Any]	       =    use_cache

						super().__init__(
						    pad_token_id=A				,   bos_token_id=A				,   eos_token_id=A				,   is_encoder_decoder=A				,   add_cross_attention=A				,   decoder_start_token_id=A				,   **A				,   )
			@property
			def    _lowerCAmelCase		(	self							):
						return self.num_encoder_layers + self.num_decoder_layers

			@num_hidden_layers.setter
			def    _lowerCAmelCase		(	self				,   A							):
						raise NotImplementedError(
						    'This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'
						    ' `num_decoder_layers`.'							)





