

"""simple docstring"""




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__						(       snake_case_   :Dict			,		snake_case_   :int    ):
	assert isinstance(snake_case_			,		snake_case_    )
	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__						(       snake_case_   :str			,		snake_case_   :Dict			,		snake_case_   :List[str]    ):
	__UpperCAmelCase      		= tmp_path / '''cache'''
	__UpperCAmelCase      		= {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
		__UpperCAmelCase      		= JsonDatasetReader(snake_case_			,		cache_dir=snake_case_			,		keep_in_memory=snake_case_    ).read()
	_check_json_dataset(snake_case_			,		snake_case_    )





@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__						(       snake_case_   :Any			,		snake_case_   :List[str]			,		snake_case_   :Optional[Any]    ):
	__UpperCAmelCase      		= tmp_path / '''cache'''
	__UpperCAmelCase      		= {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	__UpperCAmelCase      		= features.copy() if features else default_expected_features
	__UpperCAmelCase      		= (
	    Features({feature: Value(snake_case_    ) for feature, dtype in features.items()}    ) if features is not None else None
	)
	__UpperCAmelCase      		= JsonDatasetReader(snake_case_			,		features=snake_case_			,		cache_dir=snake_case_    ).read()
	_check_json_dataset(snake_case_			,		snake_case_    )





@pytest.mark.parametrize(
    '''features'''			,		[
        None,
        {'''col_3''': '''float64''', '''col_1''': '''string''', '''col_2''': '''int64'''},
    ]			,		)
def       lowercase__						(       snake_case_   :Any			,		snake_case_   :Union[str, Any]			,		snake_case_   :List[str]    ):
	__UpperCAmelCase      		= tmp_path / '''cache'''
	__UpperCAmelCase      		= {'''col_3''': '''float64''', '''col_1''': '''string''', '''col_2''': '''int64'''}
	__UpperCAmelCase      		= features.copy() if features else default_expected_features
	__UpperCAmelCase      		= (
	    Features({feature: Value(snake_case_    ) for feature, dtype in features.items()}    ) if features is not None else None
	)
	__UpperCAmelCase      		= JsonDatasetReader(snake_case_			,		features=snake_case_			,		cache_dir=snake_case_    ).read()
	assert isinstance(snake_case_			,		snake_case_    )
	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__						(       snake_case_   :Union[str, Any]			,		snake_case_   :List[str]    ):
	# jsonl_312_path features are {"col_3": "float64", "col_1": "string", "col_2": "int64"}
	__UpperCAmelCase      		= {'''col_2''': '''int64''', '''col_3''': '''float64''', '''col_1''': '''string'''}
	__UpperCAmelCase      		= features.copy()
	__UpperCAmelCase      		= (
	    Features({feature: Value(snake_case_    ) for feature, dtype in features.items()}    ) if features is not None else None
	)
	__UpperCAmelCase      		= tmp_path / '''cache'''
	__UpperCAmelCase      		= JsonDatasetReader(snake_case_			,		features=snake_case_			,		cache_dir=snake_case_    ).read()
	assert isinstance(snake_case_			,		snake_case_    )
	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__						(       snake_case_   :Union[str, Any]			,		snake_case_   :List[Any]			,		snake_case_   :int    ):
	__UpperCAmelCase      		= tmp_path / '''cache'''
	__UpperCAmelCase      		= {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	__UpperCAmelCase      		= JsonDatasetReader(snake_case_			,		cache_dir=snake_case_			,		split=snake_case_    ).read()
	_check_json_dataset(snake_case_			,		snake_case_    )
	assert dataset.split == split if split else "train"





@pytest.mark.parametrize('''path_type'''			,		[str, list]    )
def       lowercase__						(       snake_case_   :str			,		snake_case_   :Union[str, Any]			,		snake_case_   :Dict    ):
	if issubclass(snake_case_			,		snake_case_    ):
		__UpperCAmelCase      		= jsonl_path
	elif issubclass(snake_case_			,		snake_case_    ):
		__UpperCAmelCase      		= [jsonl_path]
	__UpperCAmelCase      		= tmp_path / '''cache'''
	__UpperCAmelCase      		= {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	__UpperCAmelCase      		= JsonDatasetReader(snake_case_			,		cache_dir=snake_case_    ).read()
	_check_json_dataset(snake_case_			,		snake_case_    )





def       lowercase__						(       snake_case_   :Union[str, Any]			,		snake_case_   :str			,		snake_case_   :int=("train",)    ):
	assert isinstance(snake_case_			,		snake_case_    )
	for split in splits:
		__UpperCAmelCase      		= 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__						(       snake_case_   :Tuple			,		snake_case_   :List[Any]			,		snake_case_   :Optional[Any]    ):
	__UpperCAmelCase      		= tmp_path / '''cache'''
	__UpperCAmelCase      		= {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
		__UpperCAmelCase      		= JsonDatasetReader({'''train''': jsonl_path}			,		cache_dir=snake_case_			,		keep_in_memory=snake_case_    ).read()
	_check_json_datasetdict(snake_case_			,		snake_case_    )





@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__						(       snake_case_   :List[str]			,		snake_case_   :List[str]			,		snake_case_   :int    ):
	__UpperCAmelCase      		= tmp_path / '''cache'''
	__UpperCAmelCase      		= {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	__UpperCAmelCase      		= features.copy() if features else default_expected_features
	__UpperCAmelCase      		= (
	    Features({feature: Value(snake_case_    ) for feature, dtype in features.items()}    ) if features is not None else None
	)
	__UpperCAmelCase      		= JsonDatasetReader({'''train''': jsonl_path}			,		features=snake_case_			,		cache_dir=snake_case_    ).read()
	_check_json_datasetdict(snake_case_			,		snake_case_    )





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





def       lowercase__						(       snake_case_   :Optional[int]    ):
	return json.load(snake_case_    )





def       lowercase__						(       snake_case_   :Any    ):
	return [json.loads(snake_case_    ) for line in buffer]




class      _UpperCAmelCase   :



	@pytest.mark.parametrize('''lines, load_json_function'''			,    [(True, load_json_lines), (False, load_json)]						)
	def        a  (  self     :       Union[str, Any]			,    _lowercase     :       int			,    _lowercase     :       int			,    _lowercase     :       int						):
		with io.BytesIO() as buffer:
			JsonDatasetWriter(_lowercase			,    _lowercase			,    lines=_lowercase						).write()
			buffer.seek(0						)
			__UpperCAmelCase      		= 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        a  (  self     :       Optional[Any]			,    _lowercase     :       Dict			,    _lowercase     :       Tuple			,    _lowercase     :       List[str]			,    _lowercase     :       Optional[Any]			,    _lowercase     :       Tuple						):
		with io.BytesIO() as buffer:
			JsonDatasetWriter(_lowercase			,    _lowercase			,    lines=_lowercase			,    orient=_lowercase						).write()
			buffer.seek(0						)
			__UpperCAmelCase      		= 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        a  (  self     :       str			,    _lowercase     :       Dict			,    _lowercase     :       List[Any]			,    _lowercase     :       Optional[Any]						):
		with io.BytesIO() as buffer:
			JsonDatasetWriter(_lowercase			,    _lowercase			,    lines=_lowercase			,    num_proc=2						).write()
			buffer.seek(0						)
			__UpperCAmelCase      		= 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        a  (  self     :       List[Any]			,    _lowercase     :       List[str]			,    _lowercase     :       str			,    _lowercase     :       str			,    _lowercase     :       Optional[Any]			,    _lowercase     :       Dict						):
		with io.BytesIO() as buffer:
			JsonDatasetWriter(_lowercase			,    _lowercase			,    lines=_lowercase			,    orient=_lowercase			,    num_proc=2						).write()
			buffer.seek(0						)
			__UpperCAmelCase      		= 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        a  (  self     :       int			,    _lowercase     :       Any						):
		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        a  (  self     :       List[str]			,    _lowercase     :       Union[str, Any]			,    _lowercase     :       Tuple			,    _lowercase     :       Dict			,    _lowercase     :       str			,    _lowercase     :       str						):
		__UpperCAmelCase      		= tmp_path_factory.mktemp('''data'''						) / F'''test.json.{extension}'''
		__UpperCAmelCase      		= str(shared_datadir / F'''test_file.json.{extension}'''						)
		JsonDatasetWriter(_lowercase			,    _lowercase			,    compression=_lowercase						).write()

		with fsspec.open(_lowercase			,    '''rb'''			,    compression='''infer'''						) as f:
			__UpperCAmelCase      		= f.read()
		with fsspec.open(_lowercase			,    '''rb'''			,    compression='''infer'''						) as f:
			__UpperCAmelCase      		= f.read()
		assert exported_content == original_content


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowerCAmelCase					   =       {
    'configuration_bridgetower': [
        'BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BridgeTowerConfig',
        'BridgeTowerTextConfig',
        'BridgeTowerVisionConfig',
    ],
    'processing_bridgetower': ['BridgeTowerProcessor'],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase					   =       ['BridgeTowerImageProcessor']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase					   =       [
							    'BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'BridgeTowerForContrastiveLearning',
							    'BridgeTowerForImageAndTextRetrieval',
							    'BridgeTowerForMaskedLM',
							    'BridgeTowerModel',
							    'BridgeTowerPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_bridgetower import (
							    BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    BridgeTowerConfig,
							    BridgeTowerTextConfig,
							    BridgeTowerVisionConfig,
							)
							from .processing_bridgetower import BridgeTowerProcessor

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_bridgetower import BridgeTowerImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_bridgetower import (
														    BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    BridgeTowerForContrastiveLearning,
														    BridgeTowerForImageAndTextRetrieval,
														    BridgeTowerForMaskedLM,
														    BridgeTowerModel,
														    BridgeTowerPreTrainedModel,
														)


else:
							import sys

							__lowerCAmelCase					   =       _LazyModule(__name__, globals()['__file__'], _import_structure)