






'''simple docstring'''

from tempfile import TemporaryDirectory
from unittest import TestCase
from unittest.mock import MagicMock, patch

from transformers import AutoModel, TFAutoModel
from transformers.onnx import FeaturesManager
from transformers.testing_utils import SMALL_MODEL_IDENTIFIER, require_tf, require_torch






@require_torch
@require_tf
class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	def        lowerCamelCase__		(							self       )						->  Tuple:
							lowercase_      :   Dict        =			SMALL_MODEL_IDENTIFIER
							lowercase_      :   Optional[int]        =			'pt'
							lowercase_      :   Any        =			'tf'
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Optional[int]:
							lowercase_      :   List[str]        =			AutoModel.from_pretrained(self.test_model       )
							model_pt.save_pretrained(_lowercase       )
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Optional[int]:
							lowercase_      :   List[str]        =			TFAutoModel.from_pretrained(self.test_model  ,      from_pt=_lowercase       )
							model_tf.save_pretrained(_lowercase       )
	def        lowerCamelCase__		(							self       )						->  int:
							lowercase_      :   Optional[Any]        =			'mock_framework'

							# Framework provided - return whatever the user provides
							lowercase_      :   int        =			FeaturesManager.determine_framework(self.test_model  ,      _lowercase       )
							self.assertEqual(_lowercase  ,      _lowercase       )

							# Local checkpoint and framework provided - return provided framework
							# PyTorch checkpoint
							with TemporaryDirectory() as local_pt_ckpt:
													self._setup_pt_ckpt(_lowercase       )
													lowercase_      :   Optional[int]        =			FeaturesManager.determine_framework(_lowercase  ,      _lowercase       )
													self.assertEqual(_lowercase  ,      _lowercase       )

							# TensorFlow checkpoint
							with TemporaryDirectory() as local_tf_ckpt:
													self._setup_tf_ckpt(_lowercase       )
													lowercase_      :   Optional[Any]        =			FeaturesManager.determine_framework(_lowercase  ,      _lowercase       )
													self.assertEqual(_lowercase  ,      _lowercase       )
	def        lowerCamelCase__		(							self       )						->  Dict:
							# PyTorch checkpoint
							with TemporaryDirectory() as local_pt_ckpt:
													self._setup_pt_ckpt(_lowercase       )
													lowercase_      :   Union[str, Any]        =			FeaturesManager.determine_framework(_lowercase       )
													self.assertEqual(_lowercase  ,      self.framework_pt       )

							# TensorFlow checkpoint
							with TemporaryDirectory() as local_tf_ckpt:
													self._setup_tf_ckpt(_lowercase       )
													lowercase_      :   int        =			FeaturesManager.determine_framework(_lowercase       )
													self.assertEqual(_lowercase  ,      self.framework_tf       )

							# Invalid local checkpoint
							with TemporaryDirectory() as local_invalid_ckpt:
													with self.assertRaises(_lowercase       ):
																			lowercase_      :   Dict        =			FeaturesManager.determine_framework(_lowercase       )







	def        lowerCamelCase__		(							self       )						->  Tuple:
							lowercase_      :   int        =			MagicMock(return_value=_lowercase       )
							with patch('transformers.onnx.features.is_tf_available'  ,      _lowercase       ):
													lowercase_      :   List[Any]        =			FeaturesManager.determine_framework(self.test_model       )
													self.assertEqual(_lowercase  ,      self.framework_pt       )

							# PyTorch not in environment -> use TensorFlow
							lowercase_      :   str        =			MagicMock(return_value=_lowercase       )
							with patch('transformers.onnx.features.is_torch_available'  ,      _lowercase       ):
													lowercase_      :   Union[str, Any]        =			FeaturesManager.determine_framework(self.test_model       )
													self.assertEqual(_lowercase  ,      self.framework_tf       )

							# Both in environment -> use PyTorch
							lowercase_      :   Optional[int]        =			MagicMock(return_value=_lowercase       )
							lowercase_      :   Union[str, Any]        =			MagicMock(return_value=_lowercase       )
							with patch('transformers.onnx.features.is_tf_available'  ,      _lowercase       ), patch(
							    'transformers.onnx.features.is_torch_available'  ,      _lowercase       ):
													lowercase_      :   Optional[Any]        =			FeaturesManager.determine_framework(self.test_model       )
													self.assertEqual(_lowercase  ,      self.framework_pt       )

							# Both not in environment -> raise error
							lowercase_      :   List[str]        =			MagicMock(return_value=_lowercase       )
							lowercase_      :   Any        =			MagicMock(return_value=_lowercase       )
							with patch('transformers.onnx.features.is_tf_available'  ,      _lowercase       ), patch(
							    'transformers.onnx.features.is_torch_available'  ,      _lowercase       ):
													with self.assertRaises(_lowercase       ):
																			lowercase_      :   str        =			FeaturesManager.determine_framework(self.test_model       )








'''simple docstring'''

class 							__magic_name__     :







	"""simple docstring"""



	def __init__(							self  ,      _lowercase       )						->  Union[str, Any]:
							lowercase_      :   Dict        =			n
							lowercase_      :   Dict        =			[None] * self.n
							lowercase_      :   Tuple        =			0  # index of the first element
							lowercase_      :   List[Any]        =			0
							lowercase_      :   List[Any]        =			0
	def __len__(							self       )						->  int:
							return self.size
	def        lowerCamelCase__		(							self       )						->  bool:
							return self.size == 0
	def        lowerCamelCase__		(							self       )						->  List[Any]:
							return False if self.is_empty() else self.array[self.front]
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Any:
							if self.size >= self.n:
													raise Exception('QUEUE IS FULL'       )

							lowercase_      :   Tuple        =			data
							lowercase_      :   List[Any]        =			(self.rear + 1) % self.n
							self.size += 1
							return self







	def        lowerCamelCase__		(							self       )						->  Any:
							if self.size == 0:
													raise Exception('UNDERFLOW'       )

							lowercase_      :   Dict        =			self.array[self.front]
							lowercase_      :   Tuple        =			None
							lowercase_      :   int        =			(self.front + 1) % self.n
							self.size -= 1
							return temp
