
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        __UpperCamelCase					(    lowerCAmelCase__							:    Optional[int]  ,       lowerCAmelCase__							:    Union[str, Any]  ):
 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        __UpperCamelCase					(    lowerCAmelCase__							:    Any  ,       lowerCAmelCase__							:    List[str]  ,       lowerCAmelCase__							:    List[Any]  ):
 __a			:  str		    =  tmp_path / '''cache'''
 __a			:  List[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():
  __a			:  Dict		    =  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        __UpperCamelCase					(    lowerCAmelCase__							:    List[Any]  ,       lowerCAmelCase__							:    Tuple  ,       lowerCAmelCase__							:    List[Any]  ):
 __a			:  Optional[int]		    =  tmp_path / '''cache'''
 __a			:  Dict		    =  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
 __a			:  Optional[Any]		    =  features.copy() if features else default_expected_features
 __a			:  Optional[Any]		    =  (
     Features({feature: Value(lowerCAmelCase__  ) for feature, dtype in features.items()}  ) if features is not None else None
 )
 __a			:  Tuple		    =  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        __UpperCamelCase					(    lowerCAmelCase__							:    Tuple  ,       lowerCAmelCase__							:    Optional[int]  ,       lowerCAmelCase__							:    List[Any]  ):
 __a			:  Optional[int]		    =  tmp_path / '''cache'''
 __a			:  Union[str, Any]		    =  {'''col_3''': '''float64''', '''col_1''': '''string''', '''col_2''': '''int64'''}
 __a			:  Tuple		    =  features.copy() if features else default_expected_features
 __a			:  str		    =  (
     Features({feature: Value(lowerCAmelCase__  ) for feature, dtype in features.items()}  ) if features is not None else None
 )
 __a			:  Optional[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        __UpperCamelCase					(    lowerCAmelCase__							:    Tuple  ,       lowerCAmelCase__							:    str  ):
 # jsonl_312_path features are {"col_3": "float64", "col_1": "string", "col_2": "int64"}
 __a			:  int		    =  {'''col_2''': '''int64''', '''col_3''': '''float64''', '''col_1''': '''string'''}
 __a			:  Optional[Any]		    =  features.copy()
 __a			:  Optional[int]		    =  (
     Features({feature: Value(lowerCAmelCase__  ) for feature, dtype in features.items()}  ) if features is not None else None
 )
 __a			:  Tuple		    =  tmp_path / '''cache'''
 __a			:  List[str]		    =  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        __UpperCamelCase					(    lowerCAmelCase__							:    Optional[Any]  ,       lowerCAmelCase__							:    int  ,       lowerCAmelCase__							:    List[str]  ):
 __a			:  List[str]		    =  tmp_path / '''cache'''
 __a			:  Dict		    =  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
 __a			:  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        __UpperCamelCase					(    lowerCAmelCase__							:    Tuple  ,       lowerCAmelCase__							:    List[Any]  ,       lowerCAmelCase__							:    str  ):
 if issubclass(lowerCAmelCase__  ,       lowerCAmelCase__  ):
  __a			:  List[Any]		    =  jsonl_path
 elif issubclass(lowerCAmelCase__  ,       lowerCAmelCase__  ):
  __a			:  List[str]		    =  [jsonl_path]
 __a			:  Union[str, Any]		    =  tmp_path / '''cache'''
 __a			:  Optional[Any]		    =  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
 __a			:  Tuple		    =  JsonDatasetReader(lowerCAmelCase__  ,       cache_dir=lowerCAmelCase__  ).read()
 _check_json_dataset(lowerCAmelCase__  ,       lowerCAmelCase__  )




def        __UpperCamelCase					(    lowerCAmelCase__							:    List[Any]  ,       lowerCAmelCase__							:    List[str]  ,       lowerCAmelCase__							:    Optional[int]=("train",)  ):
 assert isinstance(lowerCAmelCase__  ,       lowerCAmelCase__  )
 for split in splits:
  __a			:  List[str]		    =  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        __UpperCamelCase					(    lowerCAmelCase__							:    str  ,       lowerCAmelCase__							:    Optional[int]  ,       lowerCAmelCase__							:    str  ):
 __a			:  Any		    =  tmp_path / '''cache'''
 __a			:  Optional[int]		    =  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
 with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
  __a			:  Union[str, 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        __UpperCamelCase					(    lowerCAmelCase__							:    str  ,       lowerCAmelCase__							:    Optional[int]  ,       lowerCAmelCase__							:    Optional[int]  ):
 __a			:  Union[str, Any]		    =  tmp_path / '''cache'''
 __a			:  List[Any]		    =  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
 __a			:  Any		    =  features.copy() if features else default_expected_features
 __a			:  Union[str, Any]		    =  (
     Features({feature: Value(lowerCAmelCase__  ) for feature, dtype in features.items()}  ) if features is not None else None
 )
 __a			:  List[Any]		    =  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        __UpperCamelCase					(    lowerCAmelCase__							:    int  ,       lowerCAmelCase__							:    str  ,       lowerCAmelCase__							:    Tuple  ):
 if split:
  __a			:  List[str]		    =  {split: jsonl_path}
 else:
  __a			:  Dict		    =  '''train'''
  __a			:  Tuple		    =  {'''train''': jsonl_path, '''test''': jsonl_path}
 __a			:  int		    =  tmp_path / '''cache'''
 __a			:  List[Any]		    =  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
 __a			:  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        __UpperCamelCase					(    lowerCAmelCase__							:    Any  ):
 return json.load(lowerCAmelCase__  )




def        __UpperCamelCase					(    lowerCAmelCase__							:    Any  ):
 return [json.loads(lowerCAmelCase__  ) for line in buffer]



class 		UpperCamelCase__  :
   @pytest.mark.parametrize('''lines, load_json_function''' ,    [(True, load_json_lines), (False, load_json)]       )
   def 				lowerCAmelCase      (self			: str ,    snake_case_			: Tuple ,    snake_case_			: Tuple ,    snake_case_			: str       ):
    with io.BytesIO() as buffer:
     JsonDatasetWriter(snake_case_ ,    snake_case_ ,    lines=snake_case_       ).write()
     buffer.seek(0       )
     __a			:  str		    =  load_json_function(snake_case_       )
    assert isinstance(snake_case_ ,    snake_case_       )
    assert isinstance(exported_content[0] ,    snake_case_       )
    assert len(snake_case_       ) == 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 				lowerCAmelCase      (self			: List[Any] ,    snake_case_			: List[Any] ,    snake_case_			: Dict ,    snake_case_			: Dict ,    snake_case_			: int ,    snake_case_			: Dict       ):
    with io.BytesIO() as buffer:
     JsonDatasetWriter(snake_case_ ,    snake_case_ ,    lines=snake_case_ ,    orient=snake_case_       ).write()
     buffer.seek(0       )
     __a			:  Any		    =  load_json(snake_case_       )
    assert isinstance(snake_case_ ,    snake_case_       )
    if keys:
     if container is dict:
      assert exported_content.keys() == keys
     else:
      assert exported_content[0].keys() == keys
    else:
     assert not hasattr(snake_case_ ,    '''keys'''       ) and not hasattr(exported_content[0] ,    '''keys'''       )
    if len_at:
     assert len(exported_content[len_at]       ) == 1_0
    else:
     assert len(snake_case_       ) == 1_0
   @pytest.mark.parametrize('''lines, load_json_function''' ,    [(True, load_json_lines), (False, load_json)]       )
   def 				lowerCAmelCase      (self			: Optional[Any] ,    snake_case_			: Any ,    snake_case_			: str ,    snake_case_			: List[Any]       ):
    with io.BytesIO() as buffer:
     JsonDatasetWriter(snake_case_ ,    snake_case_ ,    lines=snake_case_ ,    num_proc=2       ).write()
     buffer.seek(0       )
     __a			:  Optional[Any]		    =  load_json_function(snake_case_       )
    assert isinstance(snake_case_ ,    snake_case_       )
    assert isinstance(exported_content[0] ,    snake_case_       )
    assert len(snake_case_       ) == 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 				lowerCAmelCase      (self			: Union[str, Any] ,    snake_case_			: List[str] ,    snake_case_			: Any ,    snake_case_			: int ,    snake_case_			: Union[str, Any] ,    snake_case_			: Dict       ):
    with io.BytesIO() as buffer:
     JsonDatasetWriter(snake_case_ ,    snake_case_ ,    lines=snake_case_ ,    orient=snake_case_ ,    num_proc=2       ).write()
     buffer.seek(0       )
     __a			:  Any		    =  load_json(snake_case_       )
    assert isinstance(snake_case_ ,    snake_case_       )
    if keys:
     if container is dict:
      assert exported_content.keys() == keys
     else:
      assert exported_content[0].keys() == keys
    else:
     assert not hasattr(snake_case_ ,    '''keys'''       ) and not hasattr(exported_content[0] ,    '''keys'''       )
    if len_at:
     assert len(exported_content[len_at]       ) == 1_0
    else:
     assert len(snake_case_       ) == 1_0
   def 				lowerCAmelCase      (self			: Optional[Any] ,    snake_case_			: Optional[int]       ):
    with pytest.raises(snake_case_       ):
     with io.BytesIO() as buffer:
      JsonDatasetWriter(snake_case_ ,    snake_case_ ,    num_proc=0       )







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

    with fsspec.open(snake_case_ ,    '''rb''' ,    compression='''infer'''       ) as f:
     __a			:  Dict		    =  f.read()
    with fsspec.open(snake_case_ ,    '''rb''' ,    compression='''infer'''       ) as f:
     __a			:  Any		    =  f.read()
    assert exported_content == original_content


from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments
