


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 ):



		'''simple docstring'''




		assert isinstance(UpperCAmelCase_     , UpperCAmelCase_ )
		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 ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:Dict				     =						tmp_path / 'cache'
		SCREAMING_SNAKE_CASE_				:Union[str, 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():
				SCREAMING_SNAKE_CASE_				:int				     =						JsonDatasetReader(UpperCAmelCase_     , cache_dir=UpperCAmelCase_     , keep_in_memory=UpperCAmelCase_ ).read()
		_check_json_dataset(UpperCAmelCase_     , UpperCAmelCase_ )


@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 ):



		'''simple docstring'''




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


@pytest.mark.parametrize(
    "features"     , [
        None,
        {"col_3": "float64", "col_1": "string", "col_2": "int64"},
    ]     , )
def     lowercase	(    a     , a     , a ):



		'''simple docstring'''




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



		'''simple docstring'''




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



		'''simple docstring'''




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


@pytest.mark.parametrize("path_type"     , [str, list] )
def     lowercase	(    a     , a     , a ):



		'''simple docstring'''




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


def     lowercase	(    a     , a     , a=("train",) ):



		'''simple docstring'''




		assert isinstance(UpperCAmelCase_     , UpperCAmelCase_ )
		for split in splits:
				SCREAMING_SNAKE_CASE_				:Any				     =						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 ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:List[str]				     =						tmp_path / 'cache'
		SCREAMING_SNAKE_CASE_				:Union[str, 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():
				SCREAMING_SNAKE_CASE_				:List[str]				     =						JsonDatasetReader({"train": jsonl_path}     , cache_dir=UpperCAmelCase_     , keep_in_memory=UpperCAmelCase_ ).read()
		_check_json_datasetdict(UpperCAmelCase_     , UpperCAmelCase_ )


@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 ):



		'''simple docstring'''




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


@pytest.mark.parametrize("split"     , [None, NamedSplit("train" ), "train", "test"] )
def     lowercase	(    a     , a     , a ):



		'''simple docstring'''




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


def     lowercase	(    a ):



		'''simple docstring'''




		return json.load(UpperCAmelCase_ )


def     lowercase	(    a ):



		'''simple docstring'''




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



class 						_UpperCAmelCase      :






		@pytest.mark.parametrize("lines, load_json_function"   ,  [(True, load_json_lines), (False, load_json)])
		def _snake_case		(						self				:     Union[str, Any]   ,  UpperCAmelCase				:     Tuple   ,  UpperCAmelCase				:     List[str]   ,  UpperCAmelCase				:     int):
				with io.BytesIO() as buffer:
						JsonDatasetWriter(lowerCamelCase__   ,  lowerCamelCase__   ,  lines=lowerCamelCase__).write()
						buffer.seek(0)
						SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						load_json_function(lowerCamelCase__)
				assert isinstance(lowerCamelCase__   ,  lowerCamelCase__)
				assert isinstance(exported_content[0]   ,  lowerCamelCase__)
				assert len(lowerCamelCase__) == 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 _snake_case		(						self				:     List[str]   ,  UpperCAmelCase				:     Any   ,  UpperCAmelCase				:     Any   ,  UpperCAmelCase				:     Tuple   ,  UpperCAmelCase				:     str   ,  UpperCAmelCase				:     Optional[Any]):
				with io.BytesIO() as buffer:
						JsonDatasetWriter(lowerCamelCase__   ,  lowerCamelCase__   ,  lines=lowerCamelCase__   ,  orient=lowerCamelCase__).write()
						buffer.seek(0)
						SCREAMING_SNAKE_CASE_				:Dict				     =						load_json(lowerCamelCase__)
				assert isinstance(lowerCamelCase__   ,  lowerCamelCase__)
				if keys:
						if container is dict:
								assert exported_content.keys() == keys
						else:
								assert exported_content[0].keys() == keys
				else:
						assert not hasattr(lowerCamelCase__   ,  "keys") and not hasattr(exported_content[0]   ,  "keys")
				if len_at:
						assert len(exported_content[len_at]) == 10
				else:
						assert len(lowerCamelCase__) == 10






		@pytest.mark.parametrize("lines, load_json_function"   ,  [(True, load_json_lines), (False, load_json)])
		def _snake_case		(						self				:     Tuple   ,  UpperCAmelCase				:     Optional[Any]   ,  UpperCAmelCase				:     Optional[int]   ,  UpperCAmelCase				:     List[Any]):
				with io.BytesIO() as buffer:
						JsonDatasetWriter(lowerCamelCase__   ,  lowerCamelCase__   ,  lines=lowerCamelCase__   ,  num_proc=2).write()
						buffer.seek(0)
						SCREAMING_SNAKE_CASE_				:Tuple				     =						load_json_function(lowerCamelCase__)
				assert isinstance(lowerCamelCase__   ,  lowerCamelCase__)
				assert isinstance(exported_content[0]   ,  lowerCamelCase__)
				assert len(lowerCamelCase__) == 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 _snake_case		(						self				:     List[str]   ,  UpperCAmelCase				:     Any   ,  UpperCAmelCase				:     Union[str, Any]   ,  UpperCAmelCase				:     str   ,  UpperCAmelCase				:     Union[str, Any]   ,  UpperCAmelCase				:     int):
				with io.BytesIO() as buffer:
						JsonDatasetWriter(lowerCamelCase__   ,  lowerCamelCase__   ,  lines=lowerCamelCase__   ,  orient=lowerCamelCase__   ,  num_proc=2).write()
						buffer.seek(0)
						SCREAMING_SNAKE_CASE_				:Any				     =						load_json(lowerCamelCase__)
				assert isinstance(lowerCamelCase__   ,  lowerCamelCase__)
				if keys:
						if container is dict:
								assert exported_content.keys() == keys
						else:
								assert exported_content[0].keys() == keys
				else:
						assert not hasattr(lowerCamelCase__   ,  "keys") and not hasattr(exported_content[0]   ,  "keys")
				if len_at:
						assert len(exported_content[len_at]) == 10
				else:
						assert len(lowerCamelCase__) == 10






		def _snake_case		(						self				:     List[Any]   ,  UpperCAmelCase				:     Any):
				with pytest.raises(lowerCamelCase__):
						with io.BytesIO() as buffer:
								JsonDatasetWriter(lowerCamelCase__   ,  lowerCamelCase__   ,  num_proc=0)







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

				with fsspec.open(lowerCamelCase__   ,  "rb"   ,  compression="infer") as f:
						SCREAMING_SNAKE_CASE_				:Optional[int]				     =						f.read()
				with fsspec.open(lowerCamelCase__   ,  "rb"   ,  compression="infer") as f:
						SCREAMING_SNAKE_CASE_				:List[str]				     =						f.read()
				assert exported_content == original_content











'''simple docstring'''
import os
import tempfile
import unittest
import uuid
from pathlib import Path

from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is_soundfile_availble, is_torch_available, is_vision_available


if is_torch_available():
					import torch

if is_soundfile_availble():
					import soundfile as sf

if is_vision_available():
					from PIL import Image






def A__       (	UpperCAmelCase_=""				):
						_UpperCamelCase   :						Any												=  tempfile.mkdtemp()
						return os.path.join(UpperCAmelCase_    ,    str(uuid.uuida()				) + suffix				)






@require_soundfile
@require_torch
class 				lowercase__      (				unittest.TestCase  ):





	def       UpperCamelCase_    (					self   :							int					):







							'''simple docstring'''
							_UpperCamelCase   :						List[str]												=  torch.rand(12					,dtype=torch.floataa					) - 0.5
							_UpperCamelCase   :						Optional[int]												=  AgentAudio(lowerCamelCase__					)
							_UpperCamelCase   :						List[str]												=  str(agent_type.to_string()					)

							# Ensure that the tensor and the agent_type's tensor are the same
							self.assertTrue(torch.allclose(lowerCamelCase__					,agent_type.to_raw()					,atol=1E-4					)					)

							del agent_type

							# Ensure the path remains even after the object deletion
							self.assertTrue(os.path.exists(lowerCamelCase__					)					)

							# Ensure that the file contains the same value as the original tensor
							_UpperCamelCase							,     _UpperCamelCase   :						Union[str, Any]												=  sf.read(lowerCamelCase__					)
							self.assertTrue(torch.allclose(lowerCamelCase__					,torch.tensor(lowerCamelCase__					)					,atol=1E-4					)					)





	def       UpperCamelCase_    (					self   :							Dict					):







							'''simple docstring'''
							_UpperCamelCase   :						Optional[Any]												=  torch.rand(12					,dtype=torch.floataa					) - 0.5
							_UpperCamelCase   :						Any												=  get_new_path(suffix='.wav'					)
							sf.write(lowerCamelCase__					,lowerCamelCase__					,16000					)

							_UpperCamelCase   :						List[Any]												=  AgentAudio(lowerCamelCase__					)

							self.assertTrue(torch.allclose(lowerCamelCase__					,agent_type.to_raw()					,atol=1E-4					)					)
							self.assertEqual(agent_type.to_string()					,lowerCamelCase__					)






@require_vision
@require_torch
class 				lowercase__      (				unittest.TestCase  ):





	def       UpperCamelCase_    (					self   :							List[Any]					):







							'''simple docstring'''
							_UpperCamelCase   :						int												=  torch.randint(0					,256					,(64, 64, 3)					)
							_UpperCamelCase   :						Optional[Any]												=  AgentImage(lowerCamelCase__					)
							_UpperCamelCase   :						List[Any]												=  str(agent_type.to_string()					)

							# Ensure that the tensor and the agent_type's tensor are the same
							self.assertTrue(torch.allclose(lowerCamelCase__					,agent_type._tensor					,atol=1E-4					)					)

							self.assertIsInstance(agent_type.to_raw()					,Image.Image					)

							# Ensure the path remains even after the object deletion
							del agent_type
							self.assertTrue(os.path.exists(lowerCamelCase__					)					)





	def       UpperCamelCase_    (					self   :							Dict					):







							'''simple docstring'''
							_UpperCamelCase   :						str												=  Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / '000000039769.png'
							_UpperCamelCase   :						Tuple												=  Image.open(lowerCamelCase__					)
							_UpperCamelCase   :						Optional[Any]												=  AgentImage(lowerCamelCase__					)

							self.assertTrue(path.samefile(agent_type.to_string()					)					)
							self.assertTrue(image == agent_type.to_raw()					)

							# Ensure the path remains even after the object deletion
							del agent_type
							self.assertTrue(os.path.exists(lowerCamelCase__					)					)





	def       UpperCamelCase_    (					self   :							Optional[int]					):







							'''simple docstring'''
							_UpperCamelCase   :						List[Any]												=  Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / '000000039769.png'
							_UpperCamelCase   :						Union[str, Any]												=  Image.open(lowerCamelCase__					)
							_UpperCamelCase   :						List[Any]												=  AgentImage(lowerCamelCase__					)

							self.assertFalse(path.samefile(agent_type.to_string()					)					)
							self.assertTrue(image == agent_type.to_raw()					)

							# Ensure the path remains even after the object deletion
							del agent_type
							self.assertTrue(os.path.exists(lowerCamelCase__					)					)






class 				lowercase__      (				unittest.TestCase  ):





	def       UpperCamelCase_    (					self   :							Any					):







							'''simple docstring'''
							_UpperCamelCase   :						List[Any]												=  'Hey!'
							_UpperCamelCase   :						Optional[int]												=  AgentText(lowerCamelCase__					)

							self.assertEqual(lowerCamelCase__					,agent_type.to_string()					)
							self.assertEqual(lowerCamelCase__					,agent_type.to_raw()					)
							self.assertEqual(lowerCamelCase__					,lowerCamelCase__					)


