


from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap






def 			UpperCamelCase (     __magic_name__					:							str					)       ->  Optional[Any]:
		"""simple docstring"""




		return getitem, k






def 			UpperCamelCase (     __magic_name__					:							Union[str, Any]   ,   __magic_name__					:							Any					)       ->  List[str]:
		"""simple docstring"""




		return setitem, k, v






def 			UpperCamelCase (     __magic_name__					:							Tuple					)       ->  str:
		"""simple docstring"""




		return delitem, k






def 			UpperCamelCase (     __magic_name__					:							str   ,   __magic_name__					:							List[Any]   ,   *__magic_name__					:							str					)       ->  Tuple:
		"""simple docstring"""




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


A	:		Any    =       (
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
)

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

A	:		Dict    =       [
    _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	:		Union[str, Any]    =       [
    _get('key_a'),
    _del('key_a'),
    _set('key_a', 'val_a'),
    _del('key_a'),
    _del('key_a'),
    _get('key_a'),
]

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

A	:		str    =       [
    *[_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 			UpperCamelCase (     __magic_name__					:							Optional[Any]					)       ->  List[Any]:
		"""simple docstring"""




		lowercase__					      =		HashMap(initial_block_size=4					)
		lowercase__					      =		{}
		for _, (fun, *args) in enumerate(__magic_name__					):
				lowercase__      ,     lowercase__					      =		_run_operation(__magic_name__   ,   __magic_name__   ,   *__magic_name__					)
				lowercase__      ,     lowercase__					      =		_run_operation(__magic_name__   ,   __magic_name__   ,   *__magic_name__					)
				assert my_res == py_res
				assert str(__magic_name__					) == str(__magic_name__					)
				assert set(__magic_name__					) == set(__magic_name__					)
				assert len(__magic_name__					) == len(__magic_name__					)
				assert set(my.items()					) == set(py.items()					)







def 			UpperCamelCase (     )       ->  Tuple:
		"""simple docstring"""




		def is_public(__magic_name__					:							str					) -> bool:
				return not name.startswith("""_"""					)

		lowercase__					      =		{name for name in dir({}					) if is_public(__magic_name__					)}
		lowercase__					      =		{name for name in dir(HashMap()					) if is_public(__magic_name__					)}

		assert dict_public_names > hash_public_names





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A	:		Optional[Any]    =       logging.get_logger(__name__)

A	:		Tuple    =       {
    'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json',
    'YituTech/conv-bert-medium-small': (
        'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'
    ),
    'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			'''convbert'''

					def __init__(self   :						str				, _UpperCAmelCase   :						Union[str, Any]=3_0522				, _UpperCAmelCase   :						Dict=768				, _UpperCAmelCase   :						Optional[int]=12				, _UpperCAmelCase   :						List[str]=12				, _UpperCAmelCase   :						str=3072				, _UpperCAmelCase   :						Tuple="gelu"				, _UpperCAmelCase   :						Optional[int]=0.1				, _UpperCAmelCase   :						int=0.1				, _UpperCAmelCase   :						str=512				, _UpperCAmelCase   :						Dict=2				, _UpperCAmelCase   :						int=0.02				, _UpperCAmelCase   :						Tuple=1E-1_2				, _UpperCAmelCase   :						Dict=1				, _UpperCAmelCase   :						Optional[Any]=0				, _UpperCAmelCase   :						List[str]=2				, _UpperCAmelCase   :						str=768				, _UpperCAmelCase   :						List[Any]=2				, _UpperCAmelCase   :						Optional[Any]=9				, _UpperCAmelCase   :						List[Any]=1				, _UpperCAmelCase   :						Union[str, Any]=None				, **_UpperCAmelCase   :						List[Any]				, )						->       List[str]:




							"""simple docstring"""


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

							lowercase__					      =		vocab_size
							lowercase__					      =		hidden_size
							lowercase__					      =		num_hidden_layers
							lowercase__					      =		num_attention_heads
							lowercase__					      =		intermediate_size
							lowercase__					      =		hidden_act
							lowercase__					      =		hidden_dropout_prob
							lowercase__					      =		attention_probs_dropout_prob
							lowercase__					      =		max_position_embeddings
							lowercase__					      =		type_vocab_size
							lowercase__					      =		initializer_range
							lowercase__					      =		layer_norm_eps
							lowercase__					      =		embedding_size
							lowercase__					      =		head_ratio
							lowercase__					      =		conv_kernel_size
							lowercase__					      =		num_groups
							lowercase__					      =		classifier_dropout






class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					@property
					def   lowerCamelCase__					(self   :						Any		)						->       Mapping[str, Mapping[int, str]]:




							"""simple docstring"""


							if self.task == "multiple-choice":
									lowercase__					      =		{0: """batch""", 1: """choice""", 2: """sequence"""}
							else:
									lowercase__					      =		{0: """batch""", 1: """sequence"""}
							return OrderedDict(
							    [
							        ("""input_ids""", dynamic_axis),
							        ("""attention_mask""", dynamic_axis),
							        ("""token_type_ids""", dynamic_axis),
							    ]		)

