
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_    (     A__				,	A__	)							->							str:
    """simple docstring"""

    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_    (     A__				,	A__				,	A__	)							->							Any:
    """simple docstring"""

    snake_case				  =      tmp_path / "cache"
    snake_case				  =      {"col_1": "string", "col_2": "int64", "col_3": "float64"}
    with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
        snake_case				  =      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_    (     A__				,	A__				,	A__	)							->							Optional[int]:
    """simple docstring"""

    snake_case				  =      tmp_path / "cache"
    snake_case				  =      {"col_1": "string", "col_2": "int64", "col_3": "float64"}
    snake_case				  =      features.copy() if features else default_expected_features
    snake_case				  =      (
        Features({feature: Value(_lowerCamelCase	) for feature, dtype in features.items()}	) if features is not None else None
    )
    snake_case				  =      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_    (     A__				,	A__				,	A__	)							->							int:
    """simple docstring"""

    snake_case				  =      tmp_path / "cache"
    snake_case				  =      {"col_3": "float64", "col_1": "string", "col_2": "int64"}
    snake_case				  =      features.copy() if features else default_expected_features
    snake_case				  =      (
        Features({feature: Value(_lowerCamelCase	) for feature, dtype in features.items()}	) if features is not None else None
    )
    snake_case				  =      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_    (     A__				,	A__	)							->							int:
    """simple docstring"""

    snake_case				  =      {"col_2": "int64", "col_3": "float64", "col_1": "string"}
    snake_case				  =      features.copy()
    snake_case				  =      (
        Features({feature: Value(_lowerCamelCase	) for feature, dtype in features.items()}	) if features is not None else None
    )
    snake_case				  =      tmp_path / "cache"
    snake_case				  =      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_    (     A__				,	A__				,	A__	)							->							List[str]:
    """simple docstring"""

    snake_case				  =      tmp_path / "cache"
    snake_case				  =      {"col_1": "string", "col_2": "int64", "col_3": "float64"}
    snake_case				  =      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_    (     A__				,	A__				,	A__	)							->							List[Any]:
    """simple docstring"""

    if issubclass(_lowerCamelCase				,	_lowerCamelCase	):
        snake_case				  =      jsonl_path
    elif issubclass(_lowerCamelCase				,	_lowerCamelCase	):
        snake_case				  =      [jsonl_path]
    snake_case				  =      tmp_path / "cache"
    snake_case				  =      {"col_1": "string", "col_2": "int64", "col_3": "float64"}
    snake_case				  =      JsonDatasetReader(_lowerCamelCase				,	cache_dir=_lowerCamelCase	).read()
    _check_json_dataset(_lowerCamelCase				,	_lowerCamelCase	)



def 		lowercase_    (     A__				,	A__				,	A__=("train",)	)							->							Optional[int]:
    """simple docstring"""

    assert isinstance(_lowerCamelCase				,	_lowerCamelCase	)
    for split in splits:
        snake_case				  =      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_    (     A__				,	A__				,	A__	)							->							int:
    """simple docstring"""

    snake_case				  =      tmp_path / "cache"
    snake_case				  =      {"col_1": "string", "col_2": "int64", "col_3": "float64"}
    with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
        snake_case				  =      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_    (     A__				,	A__				,	A__	)							->							Any:
    """simple docstring"""

    snake_case				  =      tmp_path / "cache"
    snake_case				  =      {"col_1": "string", "col_2": "int64", "col_3": "float64"}
    snake_case				  =      features.copy() if features else default_expected_features
    snake_case				  =      (
        Features({feature: Value(_lowerCamelCase	) for feature, dtype in features.items()}	) if features is not None else None
    )
    snake_case				  =      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_    (     A__				,	A__				,	A__	)							->							Tuple:
    """simple docstring"""

    if split:
        snake_case				  =      {split: jsonl_path}
    else:
        snake_case				  =      "train"
        snake_case				  =      {"train": jsonl_path, "test": jsonl_path}
    snake_case				  =      tmp_path / "cache"
    snake_case				  =      {"col_1": "string", "col_2": "int64", "col_3": "float64"}
    snake_case				  =      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_    (     A__	)							->							List[str]:
    """simple docstring"""

    return json.load(_lowerCamelCase	)



def 		lowercase_    (     A__	)							->							Any:
    """simple docstring"""

    return [json.loads(_lowerCamelCase	) for line in buffer]







class   lowerCamelCase	:





     @pytest.mark.parametrize("lines, load_json_function"       ,					[(True, load_json_lines), (False, load_json)]     )
     def 	UpperCAmelCase(self   :					List[Any]       ,					_A   :					Tuple       ,					_A   :					List[str]       ,					_A   :					Optional[int]     )		->		Optional[Any]:
         with io.BytesIO() as buffer:
             JsonDatasetWriter(_A       ,					_A       ,					lines=_A     ).write()
             buffer.seek(0     )
             snake_case				  =      load_json_function(_A     )
         assert isinstance(_A       ,					_A     )
         assert isinstance(exported_content[0]       ,					_A     )
         assert len(_A     ) == 1_0





     @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   :					Optional[int]       ,					_A   :					List[Any]       ,					_A   :					Tuple       ,					_A   :					Optional[Any]       ,					_A   :					Optional[int]       ,					_A   :					List[str]     )		->		str:
         with io.BytesIO() as buffer:
             JsonDatasetWriter(_A       ,					_A       ,					lines=_A       ,					orient=_A     ).write()
             buffer.seek(0     )
             snake_case				  =      load_json(_A     )
         assert isinstance(_A       ,					_A     )
         if keys:
             if container is dict:
                 assert exported_content.keys() == keys
             else:
                 assert exported_content[0].keys() == keys
         else:
             assert not hasattr(_A       ,					"keys"     ) and not hasattr(exported_content[0]       ,					"keys"     )
         if len_at:
             assert len(exported_content[len_at]     ) == 1_0
         else:
             assert len(_A     ) == 1_0





     @pytest.mark.parametrize("lines, load_json_function"       ,					[(True, load_json_lines), (False, load_json)]     )
     def 	UpperCAmelCase(self   :					List[Any]       ,					_A   :					Optional[Any]       ,					_A   :					str       ,					_A   :					str     )		->		Optional[Any]:
         with io.BytesIO() as buffer:
             JsonDatasetWriter(_A       ,					_A       ,					lines=_A       ,					num_proc=2     ).write()
             buffer.seek(0     )
             snake_case				  =      load_json_function(_A     )
         assert isinstance(_A       ,					_A     )
         assert isinstance(exported_content[0]       ,					_A     )
         assert len(_A     ) == 1_0





     @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   :					Optional[Any]       ,					_A   :					Optional[Any]       ,					_A   :					List[str]       ,					_A   :					Dict       ,					_A   :					Optional[Any]       ,					_A   :					Optional[Any]     )		->		Any:
         with io.BytesIO() as buffer:
             JsonDatasetWriter(_A       ,					_A       ,					lines=_A       ,					orient=_A       ,					num_proc=2     ).write()
             buffer.seek(0     )
             snake_case				  =      load_json(_A     )
         assert isinstance(_A       ,					_A     )
         if keys:
             if container is dict:
                 assert exported_content.keys() == keys
             else:
                 assert exported_content[0].keys() == keys
         else:
             assert not hasattr(_A       ,					"keys"     ) and not hasattr(exported_content[0]       ,					"keys"     )
         if len_at:
             assert len(exported_content[len_at]     ) == 1_0
         else:
             assert len(_A     ) == 1_0





     def 	UpperCAmelCase(self   :					str       ,					_A   :					Dict     )		->		Optional[Any]:
         with pytest.raises(_A     ):
             with io.BytesIO() as buffer:
                 JsonDatasetWriter(_A       ,					_A       ,					num_proc=0     )





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

         with fsspec.open(_A       ,					"rb"       ,					compression="infer"     ) as f:
             snake_case				  =      f.read()
         with fsspec.open(_A       ,					"rb"       ,					compression="infer"     ) as f:
             snake_case				  =      f.read()
         assert exported_content == original_content



import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin







@require_jieba
class   lowerCamelCase	(						A_							,				unittest.TestCase						):
     UpperCAmelCase__       :							Any     =	CpmAntTokenizer
     UpperCAmelCase__       :							Optional[Any]     =	False





     def 	UpperCAmelCase(self   :					Optional[Any]     )		->		Dict:
         super().setUp()

         snake_case				  =      [
             "<d>",
             "</d>",
             "<s>",
             "</s>",
             "</_>",
             "<unk>",
             "<pad>",
             "</n>",
             "我",
             "是",
             "C",
             "P",
             "M",
             "A",
             "n",
             "t",
         ]
         snake_case				  =      os.path.join(self.tmpdirname       ,					VOCAB_FILES_NAMES["vocab_file"]     )
         with open(self.vocab_file       ,					"w"       ,					encoding="utf-8"     ) as vocab_writer:
             vocab_writer.write("".join([x + "\n" for x in vocab_tokens]     )     )





     @tooslow
     def 	UpperCAmelCase(self   :					Optional[Any]     )		->		Optional[int]:
         snake_case				  =      CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b"     )
         snake_case				  =      "今天天气真好！"
         snake_case				  =      ["今天", "天气", "真", "好", "！"]
         snake_case				  =      tokenizer.tokenize(_A     )
         self.assertListEqual(_A       ,					_A     )
         snake_case				  =      "今天天气真好！"
         snake_case				  =      [tokenizer.bos_token] + tokens

         snake_case				  =      [6, 9_8_0_2, 1_4_9_6_2, 2_0_8_2, 8_3_1, 2_4_4]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_A     )       ,					_A     )

         snake_case				  =      tokenizer.decode(_A     )
         self.assertEqual(_A       ,					_A     )

