





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


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


def 							SCREAMING_SNAKE_CASE__  (      __a				):
	return [json.loads(__lowerCamelCase				) for line in buffer]


class SCREAMING_SNAKE_CASE_  :






						@pytest.mark.parametrize('lines, load_json_function'						,				[(True, load_json_lines), (False, load_json)]		)
						def UpperCAmelCase_			( self : str						,				_A : str						,				_A : Optional[int]						,				_A : Any		)							->      Optional[int]:







							"""simple docstring"""


							with io.BytesIO() as buffer:
								JsonDatasetWriter(lowercase_						,				lowercase_						,				lines=lowercase_		).write()
								buffer.seek(0		)
								snake_case_						:     Dict     =		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 : Optional[int]						,				_A : Union[str, Any]						,				_A : str						,				_A : List[Any]						,				_A : Optional[Any]						,				_A : Any		)							->      Any:







							"""simple docstring"""


							with io.BytesIO() as buffer:
								JsonDatasetWriter(lowercase_						,				lowercase_						,				lines=lowercase_						,				orient=lowercase_		).write()
								buffer.seek(0		)
								snake_case_						:     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






						@pytest.mark.parametrize('lines, load_json_function'						,				[(True, load_json_lines), (False, load_json)]		)
						def UpperCAmelCase_			( self : Optional[Any]						,				_A : int						,				_A : Any						,				_A : List[Any]		)							->      Tuple:







							"""simple docstring"""


							with io.BytesIO() as buffer:
								JsonDatasetWriter(lowercase_						,				lowercase_						,				lines=lowercase_						,				num_proc=2		).write()
								buffer.seek(0		)
								snake_case_						:     Optional[Any]     =		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]						,				_A : List[str]						,				_A : Any						,				_A : List[str]						,				_A : int						,				_A : Tuple		)							->      Tuple:







							"""simple docstring"""


							with io.BytesIO() as buffer:
								JsonDatasetWriter(lowercase_						,				lowercase_						,				lines=lowercase_						,				orient=lowercase_						,				num_proc=2		).write()
								buffer.seek(0		)
								snake_case_						:     List[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 : List[str]						,				_A : Dict		)							->      Optional[int]:







							"""simple docstring"""


							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 : int						,				_A : Tuple						,				_A : Union[str, Any]						,				_A : int						,				_A : str						,				_A : List[Any]		)							->      List[str]:







							"""simple docstring"""


							snake_case_						:     List[Any]     =		tmp_path_factory.mktemp('data'		) / F"""test.json.{extension}"""
							snake_case_						:     str     =		str(shared_datadir / F"""test_file.json.{extension}"""		)
							JsonDatasetWriter(lowercase_						,				lowercase_						,				compression=lowercase_		).write()

							with fsspec.open(lowercase_						,				'rb'						,				compression='infer'		) as f:
								snake_case_						:     List[str]     =		f.read()
							with fsspec.open(lowercase_						,				'rb'						,				compression='infer'		) as f:
								snake_case_						:     Dict     =		f.read()
							assert exported_content == original_content








# this script reports modified .py files under the desired list of top-level sub-dirs passed as a list of arguments, e.g.:
#   python ./utils/get_modified_files.py utils src tests examples
#
# it uses git to find the forking point and which files were modified - i.e. files not under git won't be considered
# since the output of this script is fed into Makefile commands it doesn't print a newline after the results

import re
import subprocess
import sys


_SCREAMING_SNAKE_CASE 		=						subprocess.check_output("""git merge-base main HEAD""".split()).decode("""utf-8""")
_SCREAMING_SNAKE_CASE 		=						(
    subprocess.check_output(F'''git diff --diff-filter=d --name-only {fork_point_sha}'''.split()).decode("""utf-8""").split()
)

_SCREAMING_SNAKE_CASE 		=						"""|""".join(sys.argv[1:])
_SCREAMING_SNAKE_CASE 		=						re.compile(RF'''^({joined_dirs}).*?\.py$''')

_SCREAMING_SNAKE_CASE 		=						[x for x in modified_files if regex.match(x)]
print(""" """.join(relevant_modified_files), end="""""")

