




'''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 		__magic_name__    (	__UpperCAmelCase=""	)		->					str:

					'''simple docstring'''

					snake_case_									=				tempfile.mkdtemp()
					return os.path.join(__UpperCAmelCase,      str(uuid.uuida()	) + suffix	)






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


				def   A_ (		self    :					int					):
									snake_case_									=				torch.rand(12       ,				dtype=torch.floataa					) - 0.5
									snake_case_									=				AgentAudio(lowercase_					)
									snake_case_									=				str(agent_type.to_string()					)

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

									del agent_type

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

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


				def   A_ (		self    :					Optional[int]					):
									snake_case_									=				torch.rand(12       ,				dtype=torch.floataa					) - 0.5
									snake_case_									=				get_new_path(suffix='''.wav'''					)
									sf.write(lowercase_       ,				lowercase_       ,				1_6000					)

									snake_case_									=				AgentAudio(lowercase_					)

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







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


				def   A_ (		self    :					List[Any]					):
									snake_case_									=				torch.randint(0       ,				256       ,				(64, 64, 3)					)
									snake_case_									=				AgentImage(lowercase_					)
									snake_case_									=				str(agent_type.to_string()					)

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


				def   A_ (		self    :					Tuple					):
									snake_case_									=				Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''
									snake_case_									=				Image.open(lowercase_					)
									snake_case_									=				AgentImage(lowercase_					)

									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(lowercase_					)					)


				def   A_ (		self    :					Dict					):
									snake_case_									=				Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''
									snake_case_									=				Image.open(lowercase_					)
									snake_case_									=				AgentImage(lowercase_					)

									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(lowercase_					)					)







class 						a				(   unittest.TestCase     ):


				def   A_ (		self    :					int					):
									snake_case_									=				'''Hey!'''
									snake_case_									=				AgentText(lowercase_					)

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







'''simple docstring'''

# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import doctest
import sys
import warnings
from os.path import abspath, dirname, join

import _pytest

from transformers.testing_utils import HfDoctestModule, HfDocTestParser


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
a  :				int									=  abspath(join(dirname(__file__), 'src'))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='ignore', category=FutureWarning)


def 		__magic_name__    (	__UpperCAmelCase	)		->					Optional[int]:

					'''simple docstring'''

					config.addinivalue_line(
					    '''markers''',      '''is_pt_tf_cross_test: mark test to run only when PT and TF interactions are tested'''	)
					config.addinivalue_line(
					    '''markers''',      '''is_pt_flax_cross_test: mark test to run only when PT and FLAX interactions are tested'''	)
					config.addinivalue_line('''markers''',      '''is_pipeline_test: mark test to run only when pipelines are tested'''	)
					config.addinivalue_line('''markers''',      '''is_staging_test: mark test to run only in the staging environment'''	)
					config.addinivalue_line('''markers''',      '''accelerate_tests: mark test that require accelerate'''	)
					config.addinivalue_line('''markers''',      '''tool_tests: mark the tool tests that are run on their specific schedule'''	)


def 		__magic_name__    (	__UpperCAmelCase	)		->					int:

					'''simple docstring'''

					from transformers.testing_utils import pytest_addoption_shared

					pytest_addoption_shared(__UpperCAmelCase	)


def 		__magic_name__    (	__UpperCAmelCase	)		->					Union[str, Any]:

					'''simple docstring'''

					from transformers.testing_utils import pytest_terminal_summary_main

					snake_case_									=				terminalreporter.config.getoption('''--make-reports'''	)
					if make_reports:
										pytest_terminal_summary_main(__UpperCAmelCase,      id=__UpperCAmelCase	)


def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase	)		->					Optional[int]:

					'''simple docstring'''

					if exitstatus == 5:
										snake_case_									=				0


# Doctest custom flag to ignore output.
a  :				Union[str, Any]									=  doctest.register_optionflag('IGNORE_RESULT')

a  :				Optional[int]									=  doctest.OutputChecker






class 						a				(   _lowerCamelCase     ):


				def   A_ (		self    :					List[Any]       ,				lowercase_    :					int       ,				lowercase_    :					Tuple       ,				lowercase_    :					Optional[int]					):
									if IGNORE_RESULT & optionflags:
														return True
									return OutputChecker.check_output(self       ,				lowercase_       ,				lowercase_       ,				lowercase_					)







a  :				List[Any]									=  CustomOutputChecker
a  :				Optional[int]									=  HfDoctestModule

a  :				Tuple									=  HfDocTestParser

