"""simple docstring"""







import unittest

from transformers import load_tool
from transformers.utils import is_torch_available


if is_torch_available():
	import torch

from transformers.testing_utils import require_torch

from .test_tools_common import ToolTesterMixin

@require_torch
class 	UpperCamelCase    (					unittest.TestCase   ,			lowercase		):



				def       _lowercase  (self       :   Union[str, Any])					->			Dict:
					__snake_case    :							Tuple   	=				load_tool('text-to-speech')
					self.tool.setup()



				def       _lowercase  (self       :   List[str])					->			Tuple:
					# SpeechT5 isn't deterministic
					torch.manual_seed(0)
					__snake_case    :							List[str]   	=				self.tool('hey')
					__snake_case    :							Union[str, Any]   	=				result.to_raw()
					self.assertTrue(
					    torch.allclose(
					        resulting_tensor[:3]			,						torch.tensor([-0.0_005_966_668_832_115_829, -0.0_003_657_640_190_795_064, -0.00_013_439_502_799_883_485])			,						))






				def       _lowercase  (self       :   Tuple)					->			int:
					# SpeechT5 isn't deterministic
					torch.manual_seed(0)
					__snake_case    :							Optional[int]   	=				self.tool('hey')
					__snake_case    :							Optional[Any]   	=				result.to_raw()
					self.assertTrue(
					    torch.allclose(
					        resulting_tensor[:3]			,						torch.tensor([-0.0_005_966_668_832_115_829, -0.0_003_657_640_190_795_064, -0.00_013_439_502_799_883_485])			,						))






"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


_a  :  Any=				{"configuration_speech_encoder_decoder": ["SpeechEncoderDecoderConfig"]}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_a  :  Union[str, Any]=				["SpeechEncoderDecoderModel"]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_a  :  Tuple=				["FlaxSpeechEncoderDecoderModel"]

if TYPE_CHECKING:
	from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
	import sys

	_a  :  str=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





