





import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
    from PIL import Image

    from transformers import OwlViTImageProcessor, OwlViTProcessor





@require_vision
class  A__    (							unittest.TestCase	):




   """simple docstring"""



   def 							__lowercase		(					self)			->						Optional[int]:







          '''simple docstring'''

          a__						:	Optional[int] =				tempfile.mkdtemp()

          # fmt: off
          a__						:	Optional[Any] =				['', 'l', 'o', 'w', 'e', 'r', 's', 't', 'i', 'd', 'n', 'lo', 'l</w>', 'w</w>', 'r</w>', 't</w>', 'low</w>', 'er</w>', 'lowest</w>', 'newer</w>', 'wider', '<unk>', '<|startoftext|>', '<|endoftext|>']
          # fmt: on
          a__						:	List[Any] =				dict(zip(lowercase					,  range(len(lowercase))))
          a__						:	int =				['#version: 0.2', 'l o', 'lo w</w>', 'e r</w>', '']
          a__						:	Dict =				{'unk_token': '<unk>'}

          a__						:	Optional[int] =				os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES['vocab_file'])
          a__						:	List[Any] =				os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES['merges_file'])
          with open(self.vocab_file					,  'w'					,  encoding='utf-8') as fp:
                 fp.write(json.dumps(lowercase) + '\n')
          with open(self.merges_file					,  'w'					,  encoding='utf-8') as fp:
                 fp.write('\n'.join(lowercase))

          a__						:	List[str] =				{
              'do_resize': True,
              'size': 20,
              'do_center_crop': True,
              'crop_size': 18,
              'do_normalize': True,
              'image_mean': [0.48_14_54_66, 0.4_57_82_75, 0.40_82_10_73],
              'image_std': [0.26_86_29_54, 0.26_13_02_58, 0.27_57_77_11],
          }
          a__						:	Dict =				os.path.join(self.tmpdirname					,  lowercase)
          with open(self.image_processor_file					,  'w'					,  encoding='utf-8') as fp:
                 json.dump(lowercase					,  lowercase)

   def 							__lowercase		(					self					,  **lowercase)			->						Tuple:







          '''simple docstring'''

          return CLIPTokenizer.from_pretrained(self.tmpdirname					,  pad_token='!'					,  **lowercase)

   def 							__lowercase		(					self					,  **lowercase)			->						Optional[int]:







          '''simple docstring'''

          return CLIPTokenizerFast.from_pretrained(self.tmpdirname					,  pad_token='!'					,  **lowercase)

   def 							__lowercase		(					self					,  **lowercase)			->						List[Any]:







          '''simple docstring'''

          return OwlViTImageProcessor.from_pretrained(self.tmpdirname					,  **lowercase)

   def 							__lowercase		(					self)			->						str:







          '''simple docstring'''

          shutil.rmtree(self.tmpdirname)

   def 							__lowercase		(					self)			->						str:







          '''simple docstring'''

          a__						:	List[Any] =				[np.random.randint(255					,  size=(3, 30, 400)					,  dtype=np.uinta)]

          a__						:	List[Any] =				[Image.fromarray(np.moveaxis(lowercase					,  0					,  -1)) for x in image_inputs]

          return image_inputs

   def 							__lowercase		(					self)			->						List[str]:







          '''simple docstring'''

          a__						:	List[Any] =				self.get_tokenizer()
          a__						:	Tuple =				self.get_rust_tokenizer()
          a__						:	Any =				self.get_image_processor()

          a__						:	Optional[int] =				OwlViTProcessor(tokenizer=lowercase					,  image_processor=lowercase)
          processor_slow.save_pretrained(self.tmpdirname)
          a__						:	List[str] =				OwlViTProcessor.from_pretrained(self.tmpdirname					,  use_fast=lowercase)

          a__						:	Optional[int] =				OwlViTProcessor(tokenizer=lowercase					,  image_processor=lowercase)
          processor_fast.save_pretrained(self.tmpdirname)
          a__						:	List[str] =				OwlViTProcessor.from_pretrained(self.tmpdirname)

          self.assertEqual(processor_slow.tokenizer.get_vocab()					,  tokenizer_slow.get_vocab())
          self.assertEqual(processor_fast.tokenizer.get_vocab()					,  tokenizer_fast.get_vocab())
          self.assertEqual(tokenizer_slow.get_vocab()					,  tokenizer_fast.get_vocab())
          self.assertIsInstance(processor_slow.tokenizer					,  lowercase)
          self.assertIsInstance(processor_fast.tokenizer					,  lowercase)

          self.assertEqual(processor_slow.image_processor.to_json_string()					,  image_processor.to_json_string())
          self.assertEqual(processor_fast.image_processor.to_json_string()					,  image_processor.to_json_string())
          self.assertIsInstance(processor_slow.image_processor					,  lowercase)
          self.assertIsInstance(processor_fast.image_processor					,  lowercase)

   def 							__lowercase		(					self)			->						List[str]:







          '''simple docstring'''

          a__						:	int =				OwlViTProcessor(tokenizer=self.get_tokenizer()					,  image_processor=self.get_image_processor())
          processor.save_pretrained(self.tmpdirname)

          a__						:	List[Any] =				self.get_tokenizer(bos_token='(BOS)'					,  eos_token='(EOS)')
          a__						:	List[Any] =				self.get_image_processor(do_normalize=lowercase)

          a__						:	Optional[Any] =				OwlViTProcessor.from_pretrained(
              self.tmpdirname					,  bos_token='(BOS)'					,  eos_token='(EOS)'					,  do_normalize=lowercase)

          self.assertEqual(processor.tokenizer.get_vocab()					,  tokenizer_add_kwargs.get_vocab())
          self.assertIsInstance(processor.tokenizer					,  lowercase)

          self.assertEqual(processor.image_processor.to_json_string()					,  image_processor_add_kwargs.to_json_string())
          self.assertIsInstance(processor.image_processor					,  lowercase)

   def 							__lowercase		(					self)			->						int:







          '''simple docstring'''

          a__						:	Dict =				self.get_image_processor()
          a__						:	Any =				self.get_tokenizer()

          a__						:	Union[str, Any] =				OwlViTProcessor(tokenizer=lowercase					,  image_processor=lowercase)

          a__						:	Any =				self.prepare_image_inputs()

          a__						:	int =				image_processor(lowercase					,  return_tensors='np')
          a__						:	Optional[Any] =				processor(images=lowercase					,  return_tensors='np')

          for key in input_image_proc.keys():
                 self.assertAlmostEqual(input_image_proc[key].sum()					,  input_processor[key].sum()					,  delta=1e-2)

   def 							__lowercase		(					self)			->						Union[str, Any]:







          '''simple docstring'''

          a__						:	List[Any] =				self.get_image_processor()
          a__						:	Optional[Any] =				self.get_tokenizer()

          a__						:	str =				OwlViTProcessor(tokenizer=lowercase					,  image_processor=lowercase)

          a__						:	List[Any] =				'lower newer'

          a__						:	str =				processor(text=lowercase					,  return_tensors='np')

          a__						:	Dict =				tokenizer(lowercase					,  return_tensors='np')

          for key in encoded_tok.keys():
                 self.assertListEqual(encoded_tok[key][0].tolist()					,  encoded_processor[key][0].tolist())

   def 							__lowercase		(					self)			->						Union[str, Any]:







          '''simple docstring'''

          a__						:	Any =				self.get_image_processor()
          a__						:	str =				self.get_tokenizer()

          a__						:	Tuple =				OwlViTProcessor(tokenizer=lowercase					,  image_processor=lowercase)

          a__						:	List[str] =				'lower newer'
          a__						:	Union[str, Any] =				self.prepare_image_inputs()

          a__						:	Tuple =				processor(text=lowercase					,  images=lowercase)

          self.assertListEqual(list(inputs.keys())					,  ['input_ids', 'attention_mask', 'pixel_values'])

          # test if it raises when no input is passed
          with pytest.raises(lowercase):
                 processor()

   def 							__lowercase		(					self)			->						Optional[int]:







          '''simple docstring'''

          a__						:	Any =				'google/owlvit-base-patch32'
          a__						:	int =				OwlViTProcessor.from_pretrained(lowercase)

          a__						:	Dict =				['cat', 'nasa badge']
          a__						:	int =				processor(text=lowercase)

          a__						:	Optional[int] =				16
          self.assertListEqual(list(inputs.keys())					,  ['input_ids', 'attention_mask'])
          self.assertEqual(inputs['input_ids'].shape					,  (2, seq_length))

          # test if it raises when no input is passed
          with pytest.raises(lowercase):
                 processor()

   def 							__lowercase		(					self)			->						int:







          '''simple docstring'''

          a__						:	str =				'google/owlvit-base-patch32'
          a__						:	Any =				OwlViTProcessor.from_pretrained(lowercase)

          a__						:	Optional[int] =				[['cat', 'nasa badge'], ['person']]
          a__						:	Optional[int] =				processor(text=lowercase)

          a__						:	Tuple =				16
          a__						:	List[str] =				len(lowercase)
          a__						:	Union[str, Any] =				max([len(lowercase) for texts in input_texts])

          self.assertListEqual(list(inputs.keys())					,  ['input_ids', 'attention_mask'])
          self.assertEqual(inputs['input_ids'].shape					,  (batch_size * num_max_text_queries, seq_length))

          # test if it raises when no input is passed
          with pytest.raises(lowercase):
                 processor()

   def 							__lowercase		(					self)			->						str:







          '''simple docstring'''

          a__						:	Dict =				'google/owlvit-base-patch32'
          a__						:	int =				OwlViTProcessor.from_pretrained(lowercase)

          a__						:	Optional[int] =				['cat', 'nasa badge']
          a__						:	str =				processor(text=lowercase)

          a__						:	Optional[Any] =				16
          a__						:	Any =				inputs['input_ids']
          a__						:	Optional[Any] =				[
              [4_9406, 2368, 4_9407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [4_9406, 6841, 1_1301, 4_9407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
          ]

          self.assertListEqual(list(inputs.keys())					,  ['input_ids', 'attention_mask'])
          self.assertEqual(inputs['input_ids'].shape					,  (2, seq_length))
          self.assertListEqual(list(input_ids[0])					,  predicted_ids[0])
          self.assertListEqual(list(input_ids[1])					,  predicted_ids[1])

   def 							__lowercase		(					self)			->						Union[str, Any]:







          '''simple docstring'''

          a__						:	Optional[Any] =				self.get_image_processor()
          a__						:	str =				self.get_tokenizer()

          a__						:	List[Any] =				OwlViTProcessor(tokenizer=lowercase					,  image_processor=lowercase)

          a__						:	Optional[Any] =				self.prepare_image_inputs()
          a__						:	int =				self.prepare_image_inputs()

          a__						:	int =				processor(images=lowercase					,  query_images=lowercase)

          self.assertListEqual(list(inputs.keys())					,  ['query_pixel_values', 'pixel_values'])

          # test if it raises when no input is passed
          with pytest.raises(lowercase):
                 processor()

   def 							__lowercase		(					self)			->						List[str]:







          '''simple docstring'''

          a__						:	Optional[Any] =				self.get_image_processor()
          a__						:	str =				self.get_tokenizer()

          a__						:	List[str] =				OwlViTProcessor(tokenizer=lowercase					,  image_processor=lowercase)

          a__						:	Any =				[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

          a__						:	int =				processor.batch_decode(lowercase)
          a__						:	str =				tokenizer.batch_decode(lowercase)

          self.assertListEqual(lowercase					,  lowercase)






'''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 			a      (			__a ,					__a   )  ->	Optional[int]:



					'''simple docstring'''






					assert isinstance(__a ,					__a   )
					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 			a      (			__a ,					__a ,					__a   )  ->	Optional[Any]:



					'''simple docstring'''






					UpperCamelCase__   :Union[str, Any]												= tmp_path / '''cache'''
					UpperCamelCase__   :Dict												= {'''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__   :Tuple												= JsonDatasetReader(__a ,					cache_dir=__a ,					keep_in_memory=__a   ).read()
					_check_json_dataset(__a ,					__a   )


@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 			a      (			__a ,					__a ,					__a   )  ->	Any:



					'''simple docstring'''






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


@pytest.mark.parametrize(
    '''features''' ,					[
        None,
        {'''col_3''': '''float64''', '''col_1''': '''string''', '''col_2''': '''int64'''},
    ] ,					)
def 			a      (			__a ,					__a ,					__a   )  ->	Tuple:



					'''simple docstring'''






					UpperCamelCase__   :int												= tmp_path / '''cache'''
					UpperCamelCase__   :str												= {'''col_3''': '''float64''', '''col_1''': '''string''', '''col_2''': '''int64'''}
					UpperCamelCase__   :Any												= features.copy() if features else default_expected_features
					UpperCamelCase__   :Union[str, Any]												= (
					    Features({feature: Value(__a   ) for feature, dtype in features.items()}   ) if features is not None else None
					)
					UpperCamelCase__   :Any												= JsonDatasetReader(__a ,					features=__a ,					cache_dir=__a   ).read()
					assert isinstance(__a ,					__a   )
					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 			a      (			__a ,					__a   )  ->	List[Any]:



					'''simple docstring'''






					UpperCamelCase__   :Any												= {'''col_2''': '''int64''', '''col_3''': '''float64''', '''col_1''': '''string'''}
					UpperCamelCase__   :int												= features.copy()
					UpperCamelCase__   :List[Any]												= (
					    Features({feature: Value(__a   ) for feature, dtype in features.items()}   ) if features is not None else None
					)
					UpperCamelCase__   :Optional[int]												= tmp_path / '''cache'''
					UpperCamelCase__   :Dict												= JsonDatasetReader(__a ,					features=__a ,					cache_dir=__a   ).read()
					assert isinstance(__a ,					__a   )
					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 			a      (			__a ,					__a ,					__a   )  ->	List[Any]:



					'''simple docstring'''






					UpperCamelCase__   :Union[str, Any]												= tmp_path / '''cache'''
					UpperCamelCase__   :Optional[Any]												= {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					UpperCamelCase__   :List[Any]												= JsonDatasetReader(__a ,					cache_dir=__a ,					split=__a   ).read()
					_check_json_dataset(__a ,					__a   )
					assert dataset.split == split if split else "train"


@pytest.mark.parametrize('''path_type''' ,					[str, list]   )
def 			a      (			__a ,					__a ,					__a   )  ->	Any:



					'''simple docstring'''






					if issubclass(__a ,					__a   ):
										UpperCamelCase__   :Union[str, Any]												= jsonl_path
					elif issubclass(__a ,					__a   ):
										UpperCamelCase__   :int												= [jsonl_path]
					UpperCamelCase__   :Dict												= tmp_path / '''cache'''
					UpperCamelCase__   :Any												= {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					UpperCamelCase__   :List[str]												= JsonDatasetReader(__a ,					cache_dir=__a   ).read()
					_check_json_dataset(__a ,					__a   )


def 			a      (			__a ,					__a ,					__a=("train",)   )  ->	Optional[Any]:



					'''simple docstring'''






					assert isinstance(__a ,					__a   )
					for split in splits:
										UpperCamelCase__   :Optional[int]												= 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 			a      (			__a ,					__a ,					__a   )  ->	List[str]:



					'''simple docstring'''






					UpperCamelCase__   :List[str]												= tmp_path / '''cache'''
					UpperCamelCase__   :Dict												= {'''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__   :str												= JsonDatasetReader({'''train''': jsonl_path} ,					cache_dir=__a ,					keep_in_memory=__a   ).read()
					_check_json_datasetdict(__a ,					__a   )


@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 			a      (			__a ,					__a ,					__a   )  ->	int:



					'''simple docstring'''






					UpperCamelCase__   :Tuple												= tmp_path / '''cache'''
					UpperCamelCase__   :Any												= {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					UpperCamelCase__   :Optional[int]												= features.copy() if features else default_expected_features
					UpperCamelCase__   :str												= (
					    Features({feature: Value(__a   ) for feature, dtype in features.items()}   ) if features is not None else None
					)
					UpperCamelCase__   :Dict												= JsonDatasetReader({'''train''': jsonl_path} ,					features=__a ,					cache_dir=__a   ).read()
					_check_json_datasetdict(__a ,					__a   )


@pytest.mark.parametrize('''split''' ,					[None, NamedSplit('''train'''   ), '''train''', '''test''']   )
def 			a      (			__a ,					__a ,					__a   )  ->	str:



					'''simple docstring'''






					if split:
										UpperCamelCase__   :List[str]												= {split: jsonl_path}
					else:
										UpperCamelCase__   :int												= '''train'''
										UpperCamelCase__   :int												= {'''train''': jsonl_path, '''test''': jsonl_path}
					UpperCamelCase__   :Any												= tmp_path / '''cache'''
					UpperCamelCase__   :Union[str, Any]												= {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					UpperCamelCase__   :Any												= JsonDatasetReader(__a ,					cache_dir=__a   ).read()
					_check_json_datasetdict(__a ,					__a ,					splits=list(path.keys()   )   )
					assert all(dataset[split].split == split for split in path.keys()   )


def 			a      (			__a   )  ->	Union[str, Any]:



					'''simple docstring'''






					return json.load(__a   )


def 			a      (			__a   )  ->	int:



					'''simple docstring'''






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







class    lowercase	:

		"""simple docstring"""

		@pytest.mark.parametrize('''lines, load_json_function'''    ,   [(True, load_json_lines), (False, load_json)]							)
		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_							):

							'''simple docstring'''


							with io.BytesIO() as buffer:
												JsonDatasetWriter(UpperCamelCase_    ,   UpperCamelCase_    ,   lines=UpperCamelCase_							).write()
												buffer.seek(0							)
												UpperCamelCase__   :List[Any]												= load_json_function(UpperCamelCase_							)
							assert isinstance(UpperCamelCase_    ,   UpperCamelCase_							)
							assert isinstance(exported_content[0]    ,   UpperCamelCase_							)
							assert len(UpperCamelCase_							) == 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     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_							):

							'''simple docstring'''


							with io.BytesIO() as buffer:
												JsonDatasetWriter(UpperCamelCase_    ,   UpperCamelCase_    ,   lines=UpperCamelCase_    ,   orient=UpperCamelCase_							).write()
												buffer.seek(0							)
												UpperCamelCase__   :Optional[int]												= load_json(UpperCamelCase_							)
							assert isinstance(UpperCamelCase_    ,   UpperCamelCase_							)
							if keys:
												if container is dict:
																	assert exported_content.keys() == keys
												else:
																	assert exported_content[0].keys() == keys
							else:
												assert not hasattr(UpperCamelCase_    ,   '''keys'''							) and not hasattr(exported_content[0]    ,   '''keys'''							)
							if len_at:
												assert len(exported_content[len_at]							) == 10
							else:
												assert len(UpperCamelCase_							) == 10




		@pytest.mark.parametrize('''lines, load_json_function'''    ,   [(True, load_json_lines), (False, load_json)]							)
		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_							):

							'''simple docstring'''


							with io.BytesIO() as buffer:
												JsonDatasetWriter(UpperCamelCase_    ,   UpperCamelCase_    ,   lines=UpperCamelCase_    ,   num_proc=2							).write()
												buffer.seek(0							)
												UpperCamelCase__   :Union[str, Any]												= load_json_function(UpperCamelCase_							)
							assert isinstance(UpperCamelCase_    ,   UpperCamelCase_							)
							assert isinstance(exported_content[0]    ,   UpperCamelCase_							)
							assert len(UpperCamelCase_							) == 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     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_							):

							'''simple docstring'''


							with io.BytesIO() as buffer:
												JsonDatasetWriter(UpperCamelCase_    ,   UpperCamelCase_    ,   lines=UpperCamelCase_    ,   orient=UpperCamelCase_    ,   num_proc=2							).write()
												buffer.seek(0							)
												UpperCamelCase__   :int												= load_json(UpperCamelCase_							)
							assert isinstance(UpperCamelCase_    ,   UpperCamelCase_							)
							if keys:
												if container is dict:
																	assert exported_content.keys() == keys
												else:
																	assert exported_content[0].keys() == keys
							else:
												assert not hasattr(UpperCamelCase_    ,   '''keys'''							) and not hasattr(exported_content[0]    ,   '''keys'''							)
							if len_at:
												assert len(exported_content[len_at]							) == 10
							else:
												assert len(UpperCamelCase_							) == 10




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_							):

							'''simple docstring'''


							with pytest.raises(UpperCamelCase_							):
												with io.BytesIO() as buffer:
																	JsonDatasetWriter(UpperCamelCase_    ,   UpperCamelCase_    ,   num_proc=0							)




		@pytest.mark.parametrize('''compression, extension'''    ,   [('''gzip''', '''gz'''), ('''bz2''', '''bz2'''), ('''xz''', '''xz''')]							)
		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_    ,   UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__   :Tuple												= tmp_path_factory.mktemp('''data'''							) / F'''test.json.{extension}'''
							UpperCamelCase__   :Union[str, Any]												= str(shared_datadir / F'''test_file.json.{extension}'''							)
							JsonDatasetWriter(UpperCamelCase_    ,   UpperCamelCase_    ,   compression=UpperCamelCase_							).write()

							with fsspec.open(UpperCamelCase_    ,   '''rb'''    ,   compression='''infer'''							) as f:
												UpperCamelCase__   :Dict												= f.read()
							with fsspec.open(UpperCamelCase_    ,   '''rb'''    ,   compression='''infer'''							) as f:
												UpperCamelCase__   :int												= f.read()
							assert exported_content == original_content