


'''simple docstring'''
from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap


def       _lowercase							(					UpperCamelCase__							:       int      ):
 return getitem, k


def       _lowercase							(					UpperCamelCase__							:       Tuple,					UpperCamelCase__							:       List[str]      ):
 return setitem, k, v


def       _lowercase							(					UpperCamelCase__							:       Tuple      ):
 return delitem, k


def       _lowercase							(					UpperCamelCase__							:       List[Any],					UpperCamelCase__							:       Optional[Any],					*UpperCamelCase__							:       Union[str, Any]      ):
 try:
  return fun(UpperCamelCase__,					*UpperCamelCase__      ), None
 except Exception as e:
  return None, e


UpperCAmelCase_			:  int										=   (
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
)

UpperCAmelCase_			:  List[Any]										=   [
    _set('key_a', 'val_a'),
    _set('key_a', 'val_b'),
]

UpperCAmelCase_			:  int										=   [
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
    _del('key_a'),
    _del('key_b'),
    _set('key_a', 'val_a'),
    _del('key_a'),
]

UpperCAmelCase_			:  Tuple										=   [
    _get('key_a'),
    _del('key_a'),
    _set('key_a', 'val_a'),
    _del('key_a'),
    _del('key_a'),
    _get('key_a'),
]

UpperCAmelCase_			:  List[str]										=   [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

UpperCAmelCase_			:  Any										=   [
    *[_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       _lowercase							(					UpperCamelCase__							:       Union[str, Any]      ):
 __A	:		Optional[Any]	  =      HashMap(initial_block_size=4      )
 __A	:		List[Any]	  =      {}
 for _, (fun, *args) in enumerate(UpperCamelCase__      ):
  __A  ,__A	:		Tuple	  =      _run_operation(UpperCamelCase__,					UpperCamelCase__,					*UpperCamelCase__      )
  __A  ,__A	:		int	  =      _run_operation(UpperCamelCase__,					UpperCamelCase__,					*UpperCamelCase__      )
  assert my_res == py_res
  assert str(UpperCamelCase__      ) == str(UpperCamelCase__      )
  assert set(UpperCamelCase__      ) == set(UpperCamelCase__      )
  assert len(UpperCamelCase__      ) == len(UpperCamelCase__      )
  assert set(my.items()      ) == set(py.items()      )


def       _lowercase							(					):
 def is_public(UpperCamelCase__							:       str      ) -> bool:
  return not name.startswith('_'      )

 __A	:		Tuple	  =      {name for name in dir({}      ) if is_public(UpperCamelCase__      )}
 __A	:		List[Any]	  =      {name for name in dir(HashMap()      ) if is_public(UpperCamelCase__      )}

 assert dict_public_names > hash_public_names










'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_			:  Optional[int]										=   logging.get_logger(__name__)

UpperCAmelCase_			:  List[str]										=   {
    'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/config.json',
    'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/config.json'
    # See all FNet models at https://huggingface.co/models?filter=fnet
}

class     _lowerCamelCase       (     snake_case_					):




 '''simple docstring'''
 __lowercase					:		List[Any]     				=    '''fnet'''


 def __init__(   self   ,   __lowercase=32_000   ,   __lowercase=768   ,   __lowercase=12   ,   __lowercase=3_072   ,   __lowercase="gelu_new"   ,   __lowercase=0.1   ,   __lowercase=512   ,   __lowercase=4   ,   __lowercase=0.0_2   ,   __lowercase=1E-12   ,   __lowercase=False   ,   __lowercase=512   ,   __lowercase=3   ,   __lowercase=1   ,   __lowercase=2   ,   **__lowercase   ,   ):

  """simple docstring"""







  super().__init__(pad_token_id=__lowercase   ,   bos_token_id=__lowercase   ,   eos_token_id=__lowercase   ,   **__lowercase    )

  __A	:		Union[str, Any]	  =      vocab_size
  __A	:		Dict	  =      max_position_embeddings
  __A	:		List[str]	  =      hidden_size
  __A	:		Tuple	  =      num_hidden_layers
  __A	:		Optional[int]	  =      intermediate_size
  __A	:		Dict	  =      hidden_act
  __A	:		List[str]	  =      hidden_dropout_prob
  __A	:		str	  =      initializer_range
  __A	:		Dict	  =      type_vocab_size
  __A	:		int	  =      layer_norm_eps
  __A	:		Tuple	  =      use_tpu_fourier_optimizations
  __A	:		Optional[Any]	  =      tpu_short_seq_length






