






import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__a      :       Tuple				  =   logging.get_logger(__name__)

__a      :       int				  =   {"vocab_file": "vocab.json"}

__a      :       Dict				  =   {
    "vocab_file": {
        "mgp-str": "https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json",
    }
}

__a      :       Any				  =   {"mgp-str": 27}


class       __lowercase      (	_UpperCamelCase  ):







     '''simple docstring'''
     SCREAMING_SNAKE_CASE   						=				VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE   						=				PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE   						=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




     def __init__(				self       :			str ,	UpperCamelCase_       :			Union[str, Any] ,	UpperCamelCase_       :			Union[str, Any]="[GO]" ,	UpperCamelCase_       :			Union[str, Any]="[GO]" ,	UpperCamelCase_       :			Dict="[s]" ,	UpperCamelCase_       :			List[str]="[GO]" ,	**UpperCamelCase_       :			Any				):


         """simple docstring"""



         super().__init__(
             unk_token=_UpperCAmelCase ,	bos_token=_UpperCAmelCase ,	eos_token=_UpperCAmelCase ,	pad_token=_UpperCAmelCase ,	**_UpperCAmelCase ,	)

         with open(_UpperCAmelCase ,	encoding="""utf-8"""				) as vocab_handle:
             __A         =	json.load(_UpperCAmelCase				)
         __A         =	{v: k for k, v in self.vocab.items()}




     @property
     def 		lowerCAmelCase_     (				self       :			Any				):


         """simple docstring"""



         return len(self.vocab				)




     def 		lowerCAmelCase_     (				self       :			Tuple				):


         """simple docstring"""



         return dict(self.vocab ,	**self.added_tokens_encoder				)




     def 		lowerCAmelCase_     (				self       :			Any ,	UpperCamelCase_       :			Dict				):


         """simple docstring"""



         __A         =	[]
         for s in text:
             char_tokens.extend(_UpperCAmelCase				)
         return char_tokens




     def 		lowerCAmelCase_     (				self       :			int ,	UpperCamelCase_       :			int				):


         """simple docstring"""



         return self.vocab.get(_UpperCAmelCase ,	self.vocab.get(self.unk_token				)				)




     def 		lowerCAmelCase_     (				self       :			Tuple ,	UpperCamelCase_       :			str				):


         """simple docstring"""



         return self.decoder.get(_UpperCAmelCase				)





     def 		lowerCAmelCase_     (				self       :			Dict ,	UpperCamelCase_       :			List[Any] ,	UpperCamelCase_       :			Tuple = None				):


         """simple docstring"""



         if not os.path.isdir(_UpperCAmelCase				):
             logger.error("""Vocabulary path ({}) should be a directory""".format(_UpperCAmelCase				)				)
             return
         __A         =	os.path.join(
             _UpperCAmelCase ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)

         with open(_UpperCAmelCase ,	"""w""" ,	encoding="""utf-8"""				) as f:
             f.write(json.dumps(self.vocab ,	indent=2 ,	sort_keys=_UpperCAmelCase ,	ensure_ascii=_UpperCAmelCase				) + """\n"""				)

         return (vocab_file,)












import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


__a      :       List[str]				  =   pytest.mark.integration



@pytest.mark.parametrize("""path"""			,				["""paws""", """csv"""]    )
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[Any]			,				__lowercase   :			Optional[int]    )						->      Tuple:





    """simple docstring"""

    inspect_dataset(__lowercase			,				__lowercase    )
    __A         =	path + """.py"""
    assert script_name in os.listdir(__lowercase    )
    assert "__pycache__" not in os.listdir(__lowercase    )



@pytest.mark.filterwarnings("""ignore:inspect_metric is deprecated:FutureWarning"""    )
@pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning"""    )
@pytest.mark.parametrize("""path"""			,				["""accuracy"""]    )
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]			,				__lowercase   :			Tuple    )						->      Any:





    """simple docstring"""

    inspect_metric(__lowercase			,				__lowercase    )
    __A         =	path + """.py"""
    assert script_name in os.listdir(__lowercase    )
    assert "__pycache__" not in os.listdir(__lowercase    )



@pytest.mark.parametrize(
    """path, config_name, expected_splits"""			,				[
        ("""squad""", """plain_text""", ["""train""", """validation"""]),
        ("""dalle-mini/wit""", """dalle-mini--wit""", ["""train"""]),
        ("""paws""", """labeled_final""", ["""train""", """test""", """validation"""]),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Dict			,				__lowercase   :			Optional[int]			,				__lowercase   :			List[Any]    )						->      Optional[Any]:





    """simple docstring"""

    __A         =	get_dataset_config_info(__lowercase			,				config_name=__lowercase    )
    assert info.config_name == config_name
    assert list(info.splits.keys()    ) == expected_splits



@pytest.mark.parametrize(
    """path, config_name, expected_exception"""			,				[
        ("""paws""", None, ValueError),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[Any]			,				__lowercase   :			int			,				__lowercase   :			List[str]    )						->      int:





    """simple docstring"""

    with pytest.raises(__lowercase    ):
        get_dataset_config_info(__lowercase			,				config_name=__lowercase    )



@pytest.mark.parametrize(
    """path, expected"""			,				[
        ("""squad""", """plain_text"""),
        ("""acronym_identification""", """default"""),
        ("""lhoestq/squad""", """plain_text"""),
        ("""lhoestq/test""", """default"""),
        ("""lhoestq/demo1""", """lhoestq--demo1"""),
        ("""dalle-mini/wit""", """dalle-mini--wit"""),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Tuple			,				__lowercase   :			Optional[Any]    )						->      Any:





    """simple docstring"""

    __A         =	get_dataset_config_names(__lowercase    )
    assert expected in config_names



@pytest.mark.parametrize(
    """path, expected_configs, expected_splits_in_first_config"""			,				[
        ("""squad""", ["""plain_text"""], ["""train""", """validation"""]),
        ("""dalle-mini/wit""", ["""dalle-mini--wit"""], ["""train"""]),
        ("""paws""", ["""labeled_final""", """labeled_swap""", """unlabeled_final"""], ["""train""", """test""", """validation"""]),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			int			,				__lowercase   :			Tuple			,				__lowercase   :			List[Any]    )						->      List[str]:





    """simple docstring"""

    __A         =	get_dataset_infos(__lowercase    )
    assert list(infos.keys()    ) == expected_configs
    __A         =	expected_configs[0]
    assert expected_config in infos
    __A         =	infos[expected_config]
    assert info.config_name == expected_config
    assert list(info.splits.keys()    ) == expected_splits_in_first_config



@pytest.mark.parametrize(
    """path, expected_config, expected_splits"""			,				[
        ("""squad""", """plain_text""", ["""train""", """validation"""]),
        ("""dalle-mini/wit""", """dalle-mini--wit""", ["""train"""]),
        ("""paws""", """labeled_final""", ["""train""", """test""", """validation"""]),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]			,				__lowercase   :			str			,				__lowercase   :			Union[str, Any]    )						->      Dict:





    """simple docstring"""

    __A         =	get_dataset_infos(__lowercase    )
    assert expected_config in infos
    __A         =	infos[expected_config]
    assert info.config_name == expected_config
    assert list(info.splits.keys()    ) == expected_splits






@pytest.mark.parametrize(
    """path, config_name, expected_exception"""			,				[
        ("""paws""", None, ValueError),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[str]			,				__lowercase   :			Optional[int]			,				__lowercase   :			Tuple    )						->      Union[str, Any]:





    """simple docstring"""

    with pytest.raises(__lowercase    ):
        get_dataset_split_names(__lowercase			,				config_name=__lowercase    )




