


'''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        lowercase     (							A__ ):

		"""simple docstring"""

		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :List[str]							 =			SMALL_MODEL_IDENTIFIER
							UpperCamelCase__       :Tuple							 =			'''pt'''
							UpperCamelCase__       :Optional[Any]							 =			'''tf'''




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__       :Any							 =			AutoModel.from_pretrained(self.test_model							)
							model_pt.save_pretrained(UpperCamelCase_							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__       :Optional[Any]							 =			TFAutoModel.from_pretrained(self.test_model   ,       from_pt=UpperCamelCase_							)
							model_tf.save_pretrained(UpperCamelCase_							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :int							 =			'''mock_framework'''

							# Framework provided - return whatever the user provides
							UpperCamelCase__       :Optional[int]							 =			FeaturesManager.determine_framework(self.test_model   ,       UpperCamelCase_							)
							self.assertEqual(UpperCamelCase_   ,       UpperCamelCase_							)

							# Local checkpoint and framework provided - return provided framework
							# PyTorch checkpoint
							with TemporaryDirectory() as local_pt_ckpt:
												self._setup_pt_ckpt(UpperCamelCase_							)
												UpperCamelCase__       :Dict							 =			FeaturesManager.determine_framework(UpperCamelCase_   ,       UpperCamelCase_							)
												self.assertEqual(UpperCamelCase_   ,       UpperCamelCase_							)

							# TensorFlow checkpoint
							with TemporaryDirectory() as local_tf_ckpt:
												self._setup_tf_ckpt(UpperCamelCase_							)
												UpperCamelCase__       :Optional[Any]							 =			FeaturesManager.determine_framework(UpperCamelCase_   ,       UpperCamelCase_							)
												self.assertEqual(UpperCamelCase_   ,       UpperCamelCase_							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							with TemporaryDirectory() as local_pt_ckpt:
												self._setup_pt_ckpt(UpperCamelCase_							)
												UpperCamelCase__       :str							 =			FeaturesManager.determine_framework(UpperCamelCase_							)
												self.assertEqual(UpperCamelCase_   ,       self.framework_pt							)

							# TensorFlow checkpoint
							with TemporaryDirectory() as local_tf_ckpt:
												self._setup_tf_ckpt(UpperCamelCase_							)
												UpperCamelCase__       :List[Any]							 =			FeaturesManager.determine_framework(UpperCamelCase_							)
												self.assertEqual(UpperCamelCase_   ,       self.framework_tf							)

							# Invalid local checkpoint
							with TemporaryDirectory() as local_invalid_ckpt:
												with self.assertRaises(UpperCamelCase_							):
																	UpperCamelCase__       :List[str]							 =			FeaturesManager.determine_framework(UpperCamelCase_							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Optional[Any]							 =			MagicMock(return_value=UpperCamelCase_							)
							with patch('''transformers.onnx.features.is_tf_available'''   ,       UpperCamelCase_							):
												UpperCamelCase__       :Any							 =			FeaturesManager.determine_framework(self.test_model							)
												self.assertEqual(UpperCamelCase_   ,       self.framework_pt							)

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

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

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



'''simple docstring'''
import socket


def       a				(      )  ->     Dict:



					'''simple docstring'''






					UpperCamelCase__       :int							 =			socket.socket(socket.AF_INET			, socket.SOCK_STREAM       )
					UpperCamelCase__       :List[Any]							 =			socket.gethostname()
					UpperCamelCase__       :List[str]							 =			12312

					sock.connect((host, port)       )
					sock.send(B'''Hello server!'''       )

					with open('''Received_file'''			, '''wb'''       ) as out_file:
										print('''File opened'''       )
										print('''Receiving data...'''       )
										while True:
															UpperCamelCase__       :str							 =			sock.recv(1024       )
															if not data:
																				break
															out_file.write(__a       )

					print('''Successfully received the file'''       )
					sock.close()
					print('''Connection closed'''       )


if __name__ == "__main__":
		main()