import io
import json

import fsspec
import pytest

from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases

def 			lowercase_				(			_lowerCamelCase							:       Optional[Any]		,	_lowerCamelCase							:       int):
    assert isinstance(_lowerCamelCase		,	_lowerCamelCase)
    assert dataset.num_rows == 4
    assert dataset.num_columns == 3
    assert dataset.column_names == ["col_1", "col_2", "col_3"]
    for feature, expected_dtype in expected_features.items():
        assert dataset.features[feature].dtype == expected_dtype

@pytest.mark.parametrize("keep_in_memory"		,	[False, True])
def 			lowercase_				(			_lowerCamelCase							:       List[Any]		,	_lowerCamelCase							:       Any		,	_lowerCamelCase							:       str):
    lowercase__ :   Optional[int]    					=				tmp_path / "cache"
    lowercase__ :   str    					=				{"col_1": "string", "col_2": "int64", "col_3": "float64"}
    with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
        lowercase__ :   Union[str, Any]    					=				JsonDatasetReader(_lowerCamelCase		,	cache_dir=_lowerCamelCase		,	keep_in_memory=_lowerCamelCase).read()
    _check_json_dataset(_lowerCamelCase		,	_lowerCamelCase)

@pytest.mark.parametrize(
    "features"		,	[
        None,
        {"col_1": "string", "col_2": "int64", "col_3": "float64"},
        {"col_1": "string", "col_2": "string", "col_3": "string"},
        {"col_1": "int32", "col_2": "int32", "col_3": "int32"},
        {"col_1": "float32", "col_2": "float32", "col_3": "float32"},
    ]		,	)
def 			lowercase_				(			_lowerCamelCase							:       List[str]		,	_lowerCamelCase							:       Dict		,	_lowerCamelCase							:       Dict):
    lowercase__ :   List[Any]    					=				tmp_path / "cache"
    lowercase__ :   Union[str, Any]    					=				{"col_1": "string", "col_2": "int64", "col_3": "float64"}
    lowercase__ :   List[Any]    					=				features.copy() if features else default_expected_features
    lowercase__ :   List[Any]    					=				(
        Features({feature: Value(_lowerCamelCase) for feature, dtype in features.items()}) if features is not None else None
    )
    lowercase__ :   Any    					=				JsonDatasetReader(_lowerCamelCase		,	features=_lowerCamelCase		,	cache_dir=_lowerCamelCase).read()
    _check_json_dataset(_lowerCamelCase		,	_lowerCamelCase)

@pytest.mark.parametrize(
    "features"		,	[
        None,
        {"col_3": "float64", "col_1": "string", "col_2": "int64"},
    ]		,	)
def 			lowercase_				(			_lowerCamelCase							:       Any		,	_lowerCamelCase							:       Any		,	_lowerCamelCase							:       List[str]):
    lowercase__ :   Optional[Any]    					=				tmp_path / "cache"
    lowercase__ :   Tuple    					=				{"col_3": "float64", "col_1": "string", "col_2": "int64"}
    lowercase__ :   List[Any]    					=				features.copy() if features else default_expected_features
    lowercase__ :   int    					=				(
        Features({feature: Value(_lowerCamelCase) for feature, dtype in features.items()}) if features is not None else None
    )
    lowercase__ :   Any    					=				JsonDatasetReader(_lowerCamelCase		,	features=_lowerCamelCase		,	cache_dir=_lowerCamelCase).read()
    assert isinstance(_lowerCamelCase		,	_lowerCamelCase)
    assert dataset.num_rows == 2
    assert dataset.num_columns == 3
    assert dataset.column_names == ["col_3", "col_1", "col_2"]
    for feature, expected_dtype in expected_features.items():
        assert dataset.features[feature].dtype == expected_dtype

def 			lowercase_				(			_lowerCamelCase							:       List[Any]		,	_lowerCamelCase							:       Optional[int]):
    # jsonl_312_path features are {"col_3": "float64", "col_1": "string", "col_2": "int64"}
    lowercase__ :   Any    					=				{"col_2": "int64", "col_3": "float64", "col_1": "string"}
    lowercase__ :   str    					=				features.copy()
    lowercase__ :   str    					=				(
        Features({feature: Value(_lowerCamelCase) for feature, dtype in features.items()}) if features is not None else None
    )
    lowercase__ :   Optional[int]    					=				tmp_path / "cache"
    lowercase__ :   Any    					=				JsonDatasetReader(_lowerCamelCase		,	features=_lowerCamelCase		,	cache_dir=_lowerCamelCase).read()
    assert isinstance(_lowerCamelCase		,	_lowerCamelCase)
    assert dataset.num_rows == 2
    assert dataset.num_columns == 3
    assert dataset.column_names == ["col_2", "col_3", "col_1"]
    for feature, expected_dtype in expected_features.items():
        assert dataset.features[feature].dtype == expected_dtype

@pytest.mark.parametrize("split"		,	[None, NamedSplit("train"), "train", "test"])
def 			lowercase_				(			_lowerCamelCase							:       Dict		,	_lowerCamelCase							:       Optional[int]		,	_lowerCamelCase							:       List[str]):
    lowercase__ :   Union[str, Any]    					=				tmp_path / "cache"
    lowercase__ :   List[Any]    					=				{"col_1": "string", "col_2": "int64", "col_3": "float64"}
    lowercase__ :   Union[str, Any]    					=				JsonDatasetReader(_lowerCamelCase		,	cache_dir=_lowerCamelCase		,	split=_lowerCamelCase).read()
    _check_json_dataset(_lowerCamelCase		,	_lowerCamelCase)
    assert dataset.split == split if split else "train"

@pytest.mark.parametrize("path_type"		,	[str, list])
def 			lowercase_				(			_lowerCamelCase							:       Union[str, Any]		,	_lowerCamelCase							:       str		,	_lowerCamelCase							:       int):
    if issubclass(_lowerCamelCase		,	_lowerCamelCase):
        lowercase__ :   Tuple    					=				jsonl_path
    elif issubclass(_lowerCamelCase		,	_lowerCamelCase):
        lowercase__ :   str    					=				[jsonl_path]
    lowercase__ :   str    					=				tmp_path / "cache"
    lowercase__ :   Optional[Any]    					=				{"col_1": "string", "col_2": "int64", "col_3": "float64"}
    lowercase__ :   Tuple    					=				JsonDatasetReader(_lowerCamelCase		,	cache_dir=_lowerCamelCase).read()
    _check_json_dataset(_lowerCamelCase		,	_lowerCamelCase)

def 			lowercase_				(			_lowerCamelCase							:       List[Any]		,	_lowerCamelCase							:       Optional[Any]		,	_lowerCamelCase							:       Optional[int]=("train",)):
    assert isinstance(_lowerCamelCase		,	_lowerCamelCase)
    for split in splits:
        lowercase__ :   Optional[Any]    					=				dataset_dict[split]
        assert dataset.num_rows == 4
        assert dataset.num_columns == 3
        assert dataset.column_names == ["col_1", "col_2", "col_3"]
        for feature, expected_dtype in expected_features.items():
            assert dataset.features[feature].dtype == expected_dtype

@pytest.mark.parametrize("keep_in_memory"		,	[False, True])
def 			lowercase_				(			_lowerCamelCase							:       Union[str, Any]		,	_lowerCamelCase							:       str		,	_lowerCamelCase							:       str):
    lowercase__ :   List[str]    					=				tmp_path / "cache"
    lowercase__ :   str    					=				{"col_1": "string", "col_2": "int64", "col_3": "float64"}
    with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
        lowercase__ :   Optional[Any]    					=				JsonDatasetReader({"train": jsonl_path}		,	cache_dir=_lowerCamelCase		,	keep_in_memory=_lowerCamelCase).read()
    _check_json_datasetdict(_lowerCamelCase		,	_lowerCamelCase)

@pytest.mark.parametrize(
    "features"		,	[
        None,
        {"col_1": "string", "col_2": "int64", "col_3": "float64"},
        {"col_1": "string", "col_2": "string", "col_3": "string"},
        {"col_1": "int32", "col_2": "int32", "col_3": "int32"},
        {"col_1": "float32", "col_2": "float32", "col_3": "float32"},
    ]		,	)
def 			lowercase_				(			_lowerCamelCase							:       Any		,	_lowerCamelCase							:       List[str]		,	_lowerCamelCase							:       List[str]):
    lowercase__ :   str    					=				tmp_path / "cache"
    lowercase__ :   Tuple    					=				{"col_1": "string", "col_2": "int64", "col_3": "float64"}
    lowercase__ :   Tuple    					=				features.copy() if features else default_expected_features
    lowercase__ :   Union[str, Any]    					=				(
        Features({feature: Value(_lowerCamelCase) for feature, dtype in features.items()}) if features is not None else None
    )
    lowercase__ :   Tuple    					=				JsonDatasetReader({"train": jsonl_path}		,	features=_lowerCamelCase		,	cache_dir=_lowerCamelCase).read()
    _check_json_datasetdict(_lowerCamelCase		,	_lowerCamelCase)

@pytest.mark.parametrize("split"		,	[None, NamedSplit("train"), "train", "test"])
def 			lowercase_				(			_lowerCamelCase							:       str		,	_lowerCamelCase							:       Dict		,	_lowerCamelCase							:       Tuple):
    if split:
        lowercase__ :   Tuple    					=				{split: jsonl_path}
    else:
        lowercase__ :   Tuple    					=				"train"
        lowercase__ :   int    					=				{"train": jsonl_path, "test": jsonl_path}
    lowercase__ :   Dict    					=				tmp_path / "cache"
    lowercase__ :   Union[str, Any]    					=				{"col_1": "string", "col_2": "int64", "col_3": "float64"}
    lowercase__ :   Union[str, Any]    					=				JsonDatasetReader(_lowerCamelCase		,	cache_dir=_lowerCamelCase).read()
    _check_json_datasetdict(_lowerCamelCase		,	_lowerCamelCase		,	splits=list(path.keys()))
    assert all(dataset[split].split == split for split in path.keys())

def 			lowercase_				(			_lowerCamelCase							:       Union[str, Any]):
    return json.load(_lowerCamelCase)

def 			lowercase_				(			_lowerCamelCase							:       Optional[int]):
    return [json.loads(_lowerCamelCase) for line in buffer]



class   snake_case_       :






   @pytest.mark.parametrize("lines, load_json_function"	,						[(True, load_json_lines), (False, load_json)]  )
   def       __UpperCamelCase     (      self				:     List[Any]	,						lowercase_				:     Any	,						lowercase_				:     Optional[Any]	,						lowercase_				:     Dict  )					->						Optional[Any]:
       with io.BytesIO() as buffer:
           JsonDatasetWriter(lowercase_	,						lowercase_	,						lines=lowercase_  ).write()
           buffer.seek(0  )
           lowercase__ :   Optional[int]    					=				load_json_function(lowercase_  )
       assert isinstance(lowercase_	,						lowercase_  )
       assert isinstance(exported_content[0]	,						lowercase_  )
       assert len(lowercase_  ) == 10






   @pytest.mark.parametrize(
       "orient, container, keys, len_at"	,						[
           ("records", list, {"tokens", "labels", "answers", "id"}, None),
           ("split", dict, {"columns", "data"}, "data"),
           ("index", dict, set("0123456789"  ), None),
           ("columns", dict, {"tokens", "labels", "answers", "id"}, "tokens"),
           ("values", list, None, None),
           ("table", dict, {"schema", "data"}, "data"),
       ]	,						)
   def       __UpperCamelCase     (      self				:     str	,						lowercase_				:     int	,						lowercase_				:     str	,						lowercase_				:     Union[str, Any]	,						lowercase_				:     Dict	,						lowercase_				:     Tuple  )					->						List[str]:
       with io.BytesIO() as buffer:
           JsonDatasetWriter(lowercase_	,						lowercase_	,						lines=lowercase_	,						orient=lowercase_  ).write()
           buffer.seek(0  )
           lowercase__ :   str    					=				load_json(lowercase_  )
       assert isinstance(lowercase_	,						lowercase_  )
       if keys:
           if container is dict:
               assert exported_content.keys() == keys
           else:
               assert exported_content[0].keys() == keys
       else:
           assert not hasattr(lowercase_	,						"keys"  ) and not hasattr(exported_content[0]	,						"keys"  )
       if len_at:
           assert len(exported_content[len_at]  ) == 10
       else:
           assert len(lowercase_  ) == 10






   @pytest.mark.parametrize("lines, load_json_function"	,						[(True, load_json_lines), (False, load_json)]  )
   def       __UpperCamelCase     (      self				:     List[Any]	,						lowercase_				:     int	,						lowercase_				:     Optional[Any]	,						lowercase_				:     Dict  )					->						Optional[int]:
       with io.BytesIO() as buffer:
           JsonDatasetWriter(lowercase_	,						lowercase_	,						lines=lowercase_	,						num_proc=2  ).write()
           buffer.seek(0  )
           lowercase__ :   str    					=				load_json_function(lowercase_  )
       assert isinstance(lowercase_	,						lowercase_  )
       assert isinstance(exported_content[0]	,						lowercase_  )
       assert len(lowercase_  ) == 10






   @pytest.mark.parametrize(
       "orient, container, keys, len_at"	,						[
           ("records", list, {"tokens", "labels", "answers", "id"}, None),
           ("split", dict, {"columns", "data"}, "data"),
           ("index", dict, set("0123456789"  ), None),
           ("columns", dict, {"tokens", "labels", "answers", "id"}, "tokens"),
           ("values", list, None, None),
           ("table", dict, {"schema", "data"}, "data"),
       ]	,						)
   def       __UpperCamelCase     (      self				:     Union[str, Any]	,						lowercase_				:     Dict	,						lowercase_				:     Dict	,						lowercase_				:     Optional[int]	,						lowercase_				:     Optional[Any]	,						lowercase_				:     Dict  )					->						Any:
       with io.BytesIO() as buffer:
           JsonDatasetWriter(lowercase_	,						lowercase_	,						lines=lowercase_	,						orient=lowercase_	,						num_proc=2  ).write()
           buffer.seek(0  )
           lowercase__ :   Optional[Any]    					=				load_json(lowercase_  )
       assert isinstance(lowercase_	,						lowercase_  )
       if keys:
           if container is dict:
               assert exported_content.keys() == keys
           else:
               assert exported_content[0].keys() == keys
       else:
           assert not hasattr(lowercase_	,						"keys"  ) and not hasattr(exported_content[0]	,						"keys"  )
       if len_at:
           assert len(exported_content[len_at]  ) == 10
       else:
           assert len(lowercase_  ) == 10






   def       __UpperCamelCase     (      self				:     Dict	,						lowercase_				:     List[str]  )					->						str:
       with pytest.raises(lowercase_  ):
           with io.BytesIO() as buffer:
               JsonDatasetWriter(lowercase_	,						lowercase_	,						num_proc=0  )







   @pytest.mark.parametrize("compression, extension"	,						[("gzip", "gz"), ("bz2", "bz2"), ("xz", "xz")]  )
   def       __UpperCamelCase     (      self				:     List[Any]	,						lowercase_				:     Tuple	,						lowercase_				:     List[str]	,						lowercase_				:     Optional[Any]	,						lowercase_				:     str	,						lowercase_				:     List[Any]  )					->						Any:
       lowercase__ :   Dict    					=				tmp_path_factory.mktemp("data"  ) / F'''test.json.{extension}'''
       lowercase__ :   Optional[int]    					=				str(shared_datadir / F'''test_file.json.{extension}'''  )
       JsonDatasetWriter(lowercase_	,						lowercase_	,						compression=lowercase_  ).write()

       with fsspec.open(lowercase_	,						"rb"	,						compression="infer"  ) as f:
           lowercase__ :   List[Any]    					=				f.read()
       with fsspec.open(lowercase_	,						"rb"	,						compression="infer"  ) as f:
           lowercase__ :   str    					=				f.read()
       assert exported_content == original_content










'''simple docstring'''


import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


lowerCAmelCase					:     Tuple												=logging.get_logger(__name__)


lowerCAmelCase					:     List[str]												={'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
lowerCAmelCase					:     Optional[int]												={
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json''',
    },
}

lowerCAmelCase					:     List[Any]												={
    '''RUCAIBox/mvp''': 1_024,
}
class       a_   (				_lowerCAmelCase							):
     __A      =			VOCAB_FILES_NAMES
     __A      =			PRETRAINED_VOCAB_FILES_MAP
     __A      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A      =			["input_ids", "attention_mask"]
     __A      =			MvpTokenizer





     def __init__( self		:					Optional[Any]	,      lowercase		:					Any=None	,      lowercase		:					List[Any]=None	,      lowercase		:					Dict=None	,      lowercase		:					int="replace"	,      lowercase		:					int="<s>"	,      lowercase		:					List[str]="</s>"	,      lowercase		:					Optional[Any]="</s>"	,      lowercase		:					List[str]="<s>"	,      lowercase		:					List[str]="<unk>"	,      lowercase		:					List[str]="<pad>"	,      lowercase		:					Tuple="<mask>"	,      lowercase		:					Tuple=False	,      lowercase		:					Dict=True	,      **lowercase		:					List[str]	,      ):





        """simple docstring"""




        super().__init__(
            lowercase	,      lowercase	,      tokenizer_file=lowercase	,      errors=lowercase	,      bos_token=lowercase	,      eos_token=lowercase	,      sep_token=lowercase	,      cls_token=lowercase	,      unk_token=lowercase	,      pad_token=lowercase	,      mask_token=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase	,      **lowercase	,      )

        lowercase_			:Dict    			= json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
        if pre_tok_state.get("add_prefix_space"	,      lowercase						) != add_prefix_space:
           lowercase_			:List[str]    			= getattr(lowercase	,      pre_tok_state.pop("type"						)						)
           lowercase_			:int    			= add_prefix_space
           lowercase_			:Optional[int]    			= pre_tok_class(**lowercase						)

        lowercase_			:Any    			= add_prefix_space

        # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
        lowercase_			:List[Any]    			= "post_processor"
        lowercase_			:str    			= getattr(self.backend_tokenizer	,      lowercase	,      lowercase						)
        if tokenizer_component_instance:
           lowercase_			:Any    			= json.loads(tokenizer_component_instance.__getstate__()						)

           # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
           if "sep" in state:
              lowercase_			:int    			= tuple(state["sep"]						)
           if "cls" in state:
              lowercase_			:Any    			= tuple(state["cls"]						)

           lowercase_			:int    			= False

           if state.get("add_prefix_space"	,      lowercase						) != add_prefix_space:
              lowercase_			:Union[str, Any]    			= add_prefix_space
              lowercase_			:int    			= True

           if state.get("trim_offsets"	,      lowercase						) != trim_offsets:
              lowercase_			:Any    			= trim_offsets
              lowercase_			:int    			= True

           if changes_to_apply:
              lowercase_			:Tuple    			= getattr(lowercase	,      state.pop("type"						)						)
              lowercase_			:Any    			= component_class(**lowercase						)
              setattr(self.backend_tokenizer	,      lowercase	,      lowercase						)





     @property
     def 							lowercase__      ( self		:					Optional[int]						):





        """simple docstring"""




        if self._mask_token is None:
           if self.verbose:
              logger.error("Using mask_token, but it is not set yet."						)
           return None
        return str(self._mask_token						)





     @mask_token.setter
     def 							lowercase__      ( self		:					int	,      lowercase		:					Dict						):





        """simple docstring"""




        lowercase_			:List[str]    			= AddedToken(lowercase	,      lstrip=lowercase	,      rstrip=lowercase						) if isinstance(lowercase	,      lowercase						) else value
        lowercase_			:Union[str, Any]    			= value





     def 							lowercase__      ( self		:					Optional[Any]	,      *lowercase		:					List[Any]	,      **lowercase		:					Any						):





        """simple docstring"""




        lowercase_			:Any    			= kwargs.get("is_split_into_words"	,      lowercase						)

        if is_split_into_words and not self.add_prefix_space:
           raise ValueError(
               F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
               "to use it with pretokenized inputs."						)

        return super()._batch_encode_plus(*lowercase	,      **lowercase						)





     def 							lowercase__      ( self		:					Optional[Any]	,      *lowercase		:					Optional[int]	,      **lowercase		:					int						):





        """simple docstring"""




        lowercase_			:Any    			= kwargs.get("is_split_into_words"	,      lowercase						)

        if is_split_into_words and not self.add_prefix_space:
           raise ValueError(
               F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
               "to use it with pretokenized inputs."						)

        return super()._encode_plus(*lowercase	,      **lowercase						)





     def 							lowercase__      ( self		:					Dict	,      lowercase		:					str	,      lowercase		:					Optional[str] = None						):





        """simple docstring"""




        lowercase_			:str    			= self._tokenizer.model.save(lowercase	,      name=lowercase						)
        return tuple(lowercase						)





     def 							lowercase__      ( self		:					Tuple	,      lowercase		:					Dict	,      lowercase		:					int=None						):





        """simple docstring"""




        lowercase_			:List[str]    			= [self.bos_token_id] + token_ids_a + [self.eos_token_id]
        if token_ids_a is None:
           return output

        return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







     def 							lowercase__      ( self		:					int	,      lowercase		:					List[int]	,      lowercase		:					Optional[List[int]] = None						):





        """simple docstring"""




        lowercase_			:Union[str, Any]    			= [self.sep_token_id]
        lowercase_			:Tuple    			= [self.cls_token_id]

        if token_ids_a is None:
           return len(cls + token_ids_a + sep						) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]


