

'''simple docstring'''





from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap






def 							_lowerCAmelCase (      __magic_name__	:    Optional[Any]	)							->     Optional[Any]:
						return getitem, k






def 							_lowerCAmelCase (      __magic_name__	:    Optional[Any]      ,   __magic_name__	:    List[Any]	)							->     Optional[Any]:
						return setitem, k, v






def 							_lowerCAmelCase (      __magic_name__	:    List[Any]	)							->     Optional[int]:
						return delitem, k






def 							_lowerCAmelCase (      __magic_name__	:    Optional[Any]      ,   __magic_name__	:    Any      ,   *__magic_name__	:    List[str]	)							->     Dict:
						try:
												return fun(__magic_name__      ,   *__magic_name__	), None
						except Exception as e:
												return None, e


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

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

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

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

UpperCamelCase_							=					[
    *[_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 							_lowerCAmelCase (      __magic_name__	:    List[str]	)							->     Tuple:
						lowercase   :       List[str]								=HashMap(initial_block_size=4	)
						lowercase   :       Tuple								={}
						for _, (fun, *args) in enumerate(__magic_name__	):
												lowercase		,  lowercase   :       List[str]								=_run_operation(__magic_name__      ,   __magic_name__      ,   *__magic_name__	)
												lowercase		,  lowercase   :       Tuple								=_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 							_lowerCAmelCase (      )							->     List[str]:
						def is_public(__magic_name__	:    str	) -> bool:
												return not name.startswith('''_'''	)

						lowercase   :       Any								={name for name in dir({}	) if is_public(__magic_name__	)}
						lowercase   :       int								={name for name in dir(HashMap()	) if is_public(__magic_name__	)}

						assert dict_public_names > hash_public_names








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_							=					{"""configuration_plbart""": ["""PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PLBartConfig"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					["""PLBartTokenizer"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """PLBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """PLBartForCausalLM""",
							    """PLBartForConditionalGeneration""",
							    """PLBartForSequenceClassification""",
							    """PLBartModel""",
							    """PLBartPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_plbart import PLBartTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_plbart import (
														    PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PLBartForCausalLM,
														    PLBartForConditionalGeneration,
														    PLBartForSequenceClassification,
														    PLBartModel,
														    PLBartPreTrainedModel,
														)


else:
							import sys

							UpperCamelCase_							=					_LazyModule(__name__, globals()["""__file__"""], _import_structure)





