






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 		_snake_case  (  A__					):






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Optional[Any]:
						SCREAMING_SNAKE_CASE						= SMALL_MODEL_IDENTIFIER
						SCREAMING_SNAKE_CASE						= 'pt'
						SCREAMING_SNAKE_CASE						= 'tf'






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       Tuple:
						SCREAMING_SNAKE_CASE						= AutoModel.from_pretrained(self.test_model)
						model_pt.save_pretrained(a)






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       List[str]:
						SCREAMING_SNAKE_CASE						= TFAutoModel.from_pretrained(self.test_model		,					from_pt=a)
						model_tf.save_pretrained(a)






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       int:
						SCREAMING_SNAKE_CASE						= 'mock_framework'

						# Framework provided - return whatever the user provides
						SCREAMING_SNAKE_CASE						= 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)
									SCREAMING_SNAKE_CASE						= FeaturesManager.determine_framework(a		,					a)
									self.assertEqual(a		,					a)

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






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Any:
						# PyTorch checkpoint
						with TemporaryDirectory() as local_pt_ckpt:
									self._setup_pt_ckpt(a)
									SCREAMING_SNAKE_CASE						= FeaturesManager.determine_framework(a)
									self.assertEqual(a		,					self.framework_pt)

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

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







			def    SCREAMING_SNAKE_CASE__    (       self)      ->       List[Any]:
						SCREAMING_SNAKE_CASE						= MagicMock(return_value=a)
						with patch('transformers.onnx.features.is_tf_available'		,					a):
									SCREAMING_SNAKE_CASE						= FeaturesManager.determine_framework(self.test_model)
									self.assertEqual(a		,					self.framework_pt)

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

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

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












import os
from collections.abc import Iterator






def 				lowerCamelCase__				(_UpperCAmelCase = "."):
			for dir_path, dir_names, filenames in os.walk(_UpperCAmelCase):
						SCREAMING_SNAKE_CASE						= [d for d in dir_names if d != 'scripts' and d[0] not in '._']
						for filename in filenames:
									if filename == "__init__.py":
												continue
									if os.path.splitext(_UpperCAmelCase)[1] in (".py", ".ipynb"):
												yield os.path.join(_UpperCAmelCase							,       _UpperCAmelCase).lstrip('./')






def 				lowerCamelCase__				(_UpperCAmelCase):
			return F'''{i * '  '}*''' if i else "\n##"






def 				lowerCamelCase__				(_UpperCAmelCase							,       _UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= old_path.split(os.sep)
			for i, new_part in enumerate(new_path.split(os.sep)):
						if (i + 1 > len(_UpperCAmelCase) or old_parts[i] != new_part) and new_part:
									print(F'''{md_prefix(_UpperCAmelCase)} {new_part.replace('_'							,       ' ').title()}''')
			return new_path






def 				lowerCamelCase__				(_UpperCAmelCase = "."):
			SCREAMING_SNAKE_CASE						= ''
			for filepath in sorted(good_file_paths(_UpperCAmelCase)):
						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= os.path.split(_UpperCAmelCase)
						if filepath != old_path:
									SCREAMING_SNAKE_CASE						= print_path(_UpperCAmelCase							,       _UpperCAmelCase)
						SCREAMING_SNAKE_CASE						= (filepath.count(os.sep) + 1) if filepath else 0
						SCREAMING_SNAKE_CASE						= F'''{filepath}/{filename}'''.replace(' '							,       '%20')
						SCREAMING_SNAKE_CASE						= os.path.splitext(filename.replace('_'							,       ' ').title())[0]
						print(F'''{md_prefix(_UpperCAmelCase)} [{filename}]({url})''')


if __name__ == "__main__":
				print_directory_md('.')




