






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 _UpperCAmelCase (						a    :						List[str]=""			):
							snake_case__							=							tempfile.mkdtemp()
							return os.path.join(__lowerCamelCase	,       str(uuid.uuida()			) + suffix			)


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



				"""simple docstring"""



				def        __magic_name__				(   self     :     List[str]):






											'''simple docstring'''







											snake_case__							=							torch.rand(1_2      ,		dtype=torch.floataa) - 0.5
											snake_case__							=							AgentAudio(UpperCamelCase__)
											snake_case__							=							str(agent_type.to_string())

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

											del agent_type

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

											# Ensure that the file contains the same value as the original tensor
											snake_case__							=							sf.read(UpperCamelCase__)
											self.assertTrue(torch.allclose(UpperCamelCase__      ,		torch.tensor(UpperCamelCase__)      ,		atol=1E-4))



				def        __magic_name__				(   self     :     Optional[Any]):






											'''simple docstring'''







											snake_case__							=							torch.rand(1_2      ,		dtype=torch.floataa) - 0.5
											snake_case__							=							get_new_path(suffix=""".wav""")
											sf.write(UpperCamelCase__      ,		UpperCamelCase__      ,		1_6_0_0_0)

											snake_case__							=							AgentAudio(UpperCamelCase__)

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


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



				"""simple docstring"""



				def        __magic_name__				(   self     :     Optional[int]):






											'''simple docstring'''







											snake_case__							=							torch.randint(0      ,		2_5_6      ,		(6_4, 6_4, 3))
											snake_case__							=							AgentImage(UpperCamelCase__)
											snake_case__							=							str(agent_type.to_string())

											# Ensure that the tensor and the agent_type's tensor are the same
											self.assertTrue(torch.allclose(UpperCamelCase__      ,		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(UpperCamelCase__))



				def        __magic_name__				(   self     :     Union[str, Any]):






											'''simple docstring'''







											snake_case__							=							Path(get_tests_dir("""fixtures/tests_samples/COCO""")) / '000000039769.png'
											snake_case__							=							Image.open(UpperCamelCase__)
											snake_case__							=							AgentImage(UpperCamelCase__)

											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(UpperCamelCase__))



				def        __magic_name__				(   self     :     List[str]):






											'''simple docstring'''







											snake_case__							=							Path(get_tests_dir("""fixtures/tests_samples/COCO""")) / '000000039769.png'
											snake_case__							=							Image.open(UpperCamelCase__)
											snake_case__							=							AgentImage(UpperCamelCase__)

											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(UpperCamelCase__))


class  _lowerCAmelCase      (		unittest.TestCase   ):



				"""simple docstring"""



				def        __magic_name__				(   self     :     int):






											'''simple docstring'''







											snake_case__							=							'Hey!'
											snake_case__							=							AgentText(UpperCamelCase__)

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




'''simple docstring'''






import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


lowercase				=pytest.mark.integration





@pytest.mark.parametrize('path'			,       ['paws', 'csv']				)
def lowerCamelCase__     (		__lowerCamelCase			:				List[Any]			,       __lowerCamelCase			:				Optional[Any]				):







   '''simple docstring'''




   inspect_dataset(__lowerCamelCase			,       __lowerCamelCase				)
   _UpperCAmelCase  :  List[str]				       =path + '.py'
   assert script_name in os.listdir(__lowerCamelCase				)
   assert "__pycache__" not in os.listdir(__lowerCamelCase				)





@pytest.mark.filterwarnings('ignore:inspect_metric is deprecated:FutureWarning'				)
@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning'				)
@pytest.mark.parametrize('path'			,       ['accuracy']				)
def lowerCamelCase__     (		__lowerCamelCase			:				Dict			,       __lowerCamelCase			:				str				):







   '''simple docstring'''




   inspect_metric(__lowerCamelCase			,       __lowerCamelCase				)
   _UpperCAmelCase  :  List[Any]				       =path + '.py'
   assert script_name in os.listdir(__lowerCamelCase				)
   assert "__pycache__" not in os.listdir(__lowerCamelCase				)





@pytest.mark.parametrize(
    'path, config_name, expected_splits'			,       [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				Any			,       __lowerCamelCase			:				Optional[int]			,       __lowerCamelCase			:				str				):







   '''simple docstring'''




   _UpperCAmelCase  :  str				       =get_dataset_config_info(__lowerCamelCase			,       config_name=__lowerCamelCase				)
   assert info.config_name == config_name
   assert list(info.splits.keys()				) == expected_splits





@pytest.mark.parametrize(
    'path, config_name, expected_exception'			,       [
        ('paws', None, ValueError),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				List[Any]			,       __lowerCamelCase			:				Optional[Any]			,       __lowerCamelCase			:				List[str]				):







   '''simple docstring'''




   with pytest.raises(__lowerCamelCase				):
      get_dataset_config_info(__lowerCamelCase			,       config_name=__lowerCamelCase				)





@pytest.mark.parametrize(
    'path, expected'			,       [
        ('squad', 'plain_text'),
        ('acronym_identification', 'default'),
        ('lhoestq/squad', 'plain_text'),
        ('lhoestq/test', 'default'),
        ('lhoestq/demo1', 'lhoestq--demo1'),
        ('dalle-mini/wit', 'dalle-mini--wit'),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				Tuple			,       __lowerCamelCase			:				List[str]				):







   '''simple docstring'''




   _UpperCAmelCase  :  Dict				       =get_dataset_config_names(__lowerCamelCase				)
   assert expected in config_names





@pytest.mark.parametrize(
    'path, expected_configs, expected_splits_in_first_config'			,       [
        ('squad', ['plain_text'], ['train', 'validation']),
        ('dalle-mini/wit', ['dalle-mini--wit'], ['train']),
        ('paws', ['labeled_final', 'labeled_swap', 'unlabeled_final'], ['train', 'test', 'validation']),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				Tuple			,       __lowerCamelCase			:				List[Any]			,       __lowerCamelCase			:				List[Any]				):







   '''simple docstring'''




   _UpperCAmelCase  :  Optional[int]				       =get_dataset_infos(__lowerCamelCase				)
   assert list(infos.keys()				) == expected_configs
   _UpperCAmelCase  :  Optional[int]				       =expected_configs[0]
   assert expected_config in infos
   _UpperCAmelCase  :  Optional[int]				       =infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()				) == expected_splits_in_first_config





@pytest.mark.parametrize(
    'path, expected_config, expected_splits'			,       [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				Tuple			,       __lowerCamelCase			:				Tuple			,       __lowerCamelCase			:				int				):







   '''simple docstring'''




   _UpperCAmelCase  :  str				       =get_dataset_infos(__lowerCamelCase				)
   assert expected_config in infos
   _UpperCAmelCase  :  Dict				       =infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()				) == expected_splits





@pytest.mark.parametrize(
    'path, config_name, expected_exception'			,       [
        ('paws', None, ValueError),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				Union[str, Any]			,       __lowerCamelCase			:				Optional[Any]			,       __lowerCamelCase			:				Any				):







   '''simple docstring'''




   with pytest.raises(__lowerCamelCase				):
      get_dataset_split_names(__lowerCamelCase			,       config_name=__lowerCamelCase				)

