
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		(					SCREAMING_SNAKE_CASE__		):




							def  A__      (				self):
												lowercase							=						SMALL_MODEL_IDENTIFIER
												lowercase							=						'''pt'''
												lowercase							=						'''tf'''




							def  A__      (				self   ,A__):
												lowercase							=						AutoModel.from_pretrained(self.test_model)
												model_pt.save_pretrained(A__)




							def  A__      (				self   ,A__):
												lowercase							=						TFAutoModel.from_pretrained(self.test_model   ,from_pt=A__)
												model_tf.save_pretrained(A__)




							def  A__      (				self):
												lowercase							=						'''mock_framework'''

												# Framework provided - return whatever the user provides
												lowercase							=						FeaturesManager.determine_framework(self.test_model   ,A__)
												self.assertEqual(A__   ,A__)

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

												# TensorFlow checkpoint
												with TemporaryDirectory() as local_tf_ckpt:
																	self._setup_tf_ckpt(A__)
																	lowercase							=						FeaturesManager.determine_framework(A__   ,A__)
																	self.assertEqual(A__   ,A__)




							def  A__      (				self):
												# PyTorch checkpoint
												with TemporaryDirectory() as local_pt_ckpt:
																	self._setup_pt_ckpt(A__)
																	lowercase							=						FeaturesManager.determine_framework(A__)
																	self.assertEqual(A__   ,self.framework_pt)

												# TensorFlow checkpoint
												with TemporaryDirectory() as local_tf_ckpt:
																	self._setup_tf_ckpt(A__)
																	lowercase							=						FeaturesManager.determine_framework(A__)
																	self.assertEqual(A__   ,self.framework_tf)

												# Invalid local checkpoint
												with TemporaryDirectory() as local_invalid_ckpt:
																	with self.assertRaises(A__):
																						lowercase							=						FeaturesManager.determine_framework(A__)





							def  A__      (				self):
												lowercase							=						MagicMock(return_value=A__)
												with patch('''transformers.onnx.features.is_tf_available'''   ,A__):
																	lowercase							=						FeaturesManager.determine_framework(self.test_model)
																	self.assertEqual(A__   ,self.framework_pt)

												# PyTorch not in environment -> use TensorFlow
												lowercase							=						MagicMock(return_value=A__)
												with patch('''transformers.onnx.features.is_torch_available'''   ,A__):
																	lowercase							=						FeaturesManager.determine_framework(self.test_model)
																	self.assertEqual(A__   ,self.framework_tf)

												# Both in environment -> use PyTorch
												lowercase							=						MagicMock(return_value=A__)
												lowercase							=						MagicMock(return_value=A__)
												with patch('''transformers.onnx.features.is_tf_available'''   ,A__), patch(
												    '''transformers.onnx.features.is_torch_available'''   ,A__):
																	lowercase							=						FeaturesManager.determine_framework(self.test_model)
																	self.assertEqual(A__   ,self.framework_pt)

												# Both not in environment -> raise error
												lowercase							=						MagicMock(return_value=A__)
												lowercase							=						MagicMock(return_value=A__)
												with patch('''transformers.onnx.features.is_tf_available'''   ,A__), patch(
												    '''transformers.onnx.features.is_torch_available'''   ,A__):
																	with self.assertRaises(A__):
																						lowercase							=						FeaturesManager.determine_framework(self.test_model)






import requests
from bsa import BeautifulSoup



def        UpperCamelCase    (							lowerCAmelCase__ = "https://www.worldometers.info/coronavirus"		):
					'''simple docstring'''
					lowercase							=						BeautifulSoup(requests.get(lowerCAmelCase__		).text ,			'''html.parser'''		)
					lowercase							=						soup.findAll('''h1'''		)
					lowercase							=						soup.findAll('''div''' ,			{'''class''': '''maincounter-number'''}		)
					keys += soup.findAll('''span''' ,			{'''class''': '''panel-title'''}		)
					values += soup.findAll('''div''' ,			{'''class''': '''number-table-main'''}		)
					return {key.text.strip(): value.text.strip() for key, value in zip(lowerCAmelCase__ ,			lowerCAmelCase__		)}


if __name__ == "__main__":
							print("\033[1m" + "COVID-19 Status of the World" + "\033[0m\n")
							for key, value in world_covidaa_stats().items():
														print(F'{key}\n{value}\n')




