


'''simple docstring'''

from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap





def __snake_case					(      UpperCAmelCase_						:						List[str]		):
 return getitem, k





def __snake_case					(      UpperCAmelCase_						:						List[Any]					,				UpperCAmelCase_						:						str		):
 return setitem, k, v





def __snake_case					(      UpperCAmelCase_						:						Optional[Any]		):
 return delitem, k





def __snake_case					(      UpperCAmelCase_						:						Tuple					,				UpperCAmelCase_						:						Tuple					,				*UpperCAmelCase_						:						Optional[int]		):
 try:
  return fun(UpperCAmelCase_					,				*UpperCAmelCase_		), None
 except Exception as e:
  return None, e


a_  :				List[str]						= (
    _set("""key_a""", """val_a"""),
    _set("""key_b""", """val_b"""),
)

a_  :				int						= [
    _set("""key_a""", """val_a"""),
    _set("""key_a""", """val_b"""),
]

a_  :				Tuple						= [
    _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_  :				Optional[Any]						= [
    _get("""key_a"""),
    _del("""key_a"""),
    _set("""key_a""", """val_a"""),
    _del("""key_a"""),
    _del("""key_a"""),
    _get("""key_a"""),
]

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

a_  :				List[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 __snake_case					(      UpperCAmelCase_						:						int		):
 lowerCamelCase_      =  HashMap(initial_block_size=4		)
 lowerCamelCase_      =  {}
 for _, (fun, *args) in enumerate(UpperCAmelCase_		):
  lowerCamelCase_ ,lowerCamelCase_      =  _run_operation(UpperCAmelCase_					,				UpperCAmelCase_					,				*UpperCAmelCase_		)
  lowerCamelCase_ ,lowerCamelCase_      =  _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 __snake_case					(      ):
 def is_public(UpperCAmelCase_						:						str		) -> bool:
  return not name.startswith("_"		)

 lowerCamelCase_      =  {name for name in dir({}		) if is_public(UpperCAmelCase_		)}
 lowerCamelCase_      =  {name for name in dir(HashMap()		) if is_public(UpperCAmelCase_		)}

 assert dict_public_names > hash_public_names





'''simple docstring'''




from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest





@require_tokenizers
class  A				(							__snake_case						):
     __magic_name__						=		DistilBertTokenizer
     __magic_name__						=		DistilBertTokenizerFast
     __magic_name__						=		True





     @slow
     def 				__lowerCAmelCase							(							self	) ->				Any:






         """simple docstring"""






         A       :   List[Any]					=						DistilBertTokenizer.from_pretrained('''distilbert-base-uncased'''	)

         A       :   Dict					=						tokenizer.encode('''sequence builders'''						,			add_special_tokens=SCREAMING_SNAKE_CASE	)
         A       :   List[str]					=						tokenizer.encode('''multi-sequence build'''						,			add_special_tokens=SCREAMING_SNAKE_CASE	)

         A       :   Optional[Any]					=						tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE	)
         A       :   Tuple					=						tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE	)

         assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
         assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
             tokenizer.sep_token_id
         ]




