


"""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        __A       (_snake_case):





							'''simple docstring'''

							def 						lowerCAmelCase    (			self							: Optional[Any]    )   ->Dict:



														"""simple docstring"""



														snake_case_          =						SMALL_MODEL_IDENTIFIER
														snake_case_          =						"""pt"""
														snake_case_          =						"""tf"""



							def 						lowerCAmelCase    (			self							: Optional[int]						,    UpperCAmelCase_							: Dict    )   ->Tuple:



														"""simple docstring"""



														snake_case_          =						AutoModel.from_pretrained(self.test_model    )
														model_pt.save_pretrained(UpperCamelCase__    )



							def 						lowerCAmelCase    (			self							: Tuple						,    UpperCAmelCase_							: List[str]    )   ->List[str]:



														"""simple docstring"""



														snake_case_          =						TFAutoModel.from_pretrained(self.test_model						,    from_pt=UpperCamelCase__    )
														model_tf.save_pretrained(UpperCamelCase__    )



							def 						lowerCAmelCase    (			self							: Any    )   ->Dict:



														"""simple docstring"""



														snake_case_          =						"""mock_framework"""

														# Framework provided - return whatever the user provides
														snake_case_          =						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__    )
																					snake_case_          =						FeaturesManager.determine_framework(UpperCamelCase__						,    UpperCamelCase__    )
																					self.assertEqual(UpperCamelCase__						,    UpperCamelCase__    )

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



							def 						lowerCAmelCase    (			self							: Union[str, Any]    )   ->int:



														"""simple docstring"""



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

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

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



							def 						lowerCAmelCase    (			self							: int    )   ->List[Any]:



														"""simple docstring"""



														snake_case_          =						MagicMock(return_value=UpperCamelCase__    )
														with patch("""transformers.onnx.features.is_tf_available"""						,    UpperCamelCase__    ):
																					snake_case_          =						FeaturesManager.determine_framework(self.test_model    )
																					self.assertEqual(UpperCamelCase__						,    self.framework_pt    )

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

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

														# Both not in environment -> raise error
														snake_case_          =						MagicMock(return_value=UpperCamelCase__    )
														snake_case_          =						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__    ):
																												snake_case_          =						FeaturesManager.determine_framework(self.test_model    )







"""simple docstring"""
from collections import namedtuple

import requests
from lxml import html  # type: ignore

__SCREAMING_SNAKE_CASE							:      List[str]						=      namedtuple('covid_data', 'cases deaths recovered')







def   _a			( _SCREAMING_SNAKE_CASE = "https://www.worldometers.info/coronavirus/"			)      ->			covid_data:
							snake_case_          =						"""//div[@class = \"maincounter-number\"]/span/text()"""
							return covid_data(*html.fromstring(requests.get(_SCREAMING_SNAKE_CASE			).content			).xpath(_SCREAMING_SNAKE_CASE			)			)


__SCREAMING_SNAKE_CASE							:      List[str]						=      'Total COVID-19 cases in the world: {}\nTotal deaths due to COVID-19 in the world: {}\nTotal COVID-19 patients recovered in the world: {}'





print(fmt.format(*covid_stats()))



