


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 (							lowercase__):


       """simple docstring"""




       def 						lowerCAmelCase     (   self							:			Optional[int]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Union[str, Any]    =  SMALL_MODEL_IDENTIFIER
             lowerCamelCase__		:				str    =  "pt"
             lowerCamelCase__		:				Any    =  "tf"





       def 						lowerCAmelCase     (   self							:			Union[str, Any]					,      __lowerCamelCase							:			str       ):


             '''simple docstring'''



             lowerCamelCase__		:				int    =  AutoModel.from_pretrained(self.test_model       )
             model_pt.save_pretrained(__lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			List[str]					,      __lowerCamelCase							:			Union[str, Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Tuple    =  TFAutoModel.from_pretrained(self.test_model					,      from_pt=__lowerCamelCase       )
             model_tf.save_pretrained(__lowerCamelCase       )





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


             '''simple docstring'''



             lowerCamelCase__		:				str    =  "mock_framework"

             # Framework provided - return whatever the user provides
             lowerCamelCase__		:				str    =  FeaturesManager.determine_framework(self.test_model					,      __lowerCamelCase       )
             self.assertEqual(__lowerCamelCase					,      __lowerCamelCase       )

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

             # TensorFlow checkpoint
             with TemporaryDirectory() as local_tf_ckpt:
                   self._setup_tf_ckpt(__lowerCamelCase       )
                   lowerCamelCase__		:				Dict    =  FeaturesManager.determine_framework(__lowerCamelCase					,      __lowerCamelCase       )
                   self.assertEqual(__lowerCamelCase					,      __lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



             with TemporaryDirectory() as local_pt_ckpt:
                   self._setup_pt_ckpt(__lowerCamelCase       )
                   lowerCamelCase__		:				Any    =  FeaturesManager.determine_framework(__lowerCamelCase       )
                   self.assertEqual(__lowerCamelCase					,      self.framework_pt       )

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

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





       def 						lowerCAmelCase     (   self							:			Optional[int]       ):


             '''simple docstring'''



             lowerCamelCase__		:				List[str]    =  MagicMock(return_value=__lowerCamelCase       )
             with patch("transformers.onnx.features.is_tf_available"					,      __lowerCamelCase       ):
                   lowerCamelCase__		:				List[Any]    =  FeaturesManager.determine_framework(self.test_model       )
                   self.assertEqual(__lowerCamelCase					,      self.framework_pt       )

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

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

             # Both not in environment -> raise error
             lowerCamelCase__		:				str    =  MagicMock(return_value=__lowerCamelCase       )
             lowerCamelCase__		:				Tuple    =  MagicMock(return_value=__lowerCamelCase       )
             with patch("transformers.onnx.features.is_tf_available"					,      __lowerCamelCase       ), patch(
                 "transformers.onnx.features.is_torch_available"					,      __lowerCamelCase       ):
                   with self.assertRaises(__lowerCamelCase       ):
                         lowerCamelCase__		:				Tuple    =  FeaturesManager.determine_framework(self.test_model       )






class 			_lowercase :


       """simple docstring"""




       def __init__(   self							:			List[Any]					,      __lowerCamelCase							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[Any]    =  size
             lowerCamelCase__		:				List[str]    =  [0] * size
             lowerCamelCase__		:				str    =  [0] * size





       @staticmethod
       def 						lowerCAmelCase     (   __lowerCamelCase							:			int       ):


             '''simple docstring'''



             return index | (index + 1)





       @staticmethod
       def 						lowerCAmelCase     (   __lowerCamelCase							:			int       ):


             '''simple docstring'''



             return (index & (index + 1)) - 1





       def 						lowerCAmelCase     (   self							:			int					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				Union[str, Any]    =  value
             while index < self.size:
                   lowerCamelCase__		:				Tuple    =  self.get_prev(__lowerCamelCase       ) + 1
                   if current_left_border == index:
                         lowerCamelCase__		:				Optional[Any]    =  value
                   else:
                         lowerCamelCase__		:				str    =  max(__lowerCamelCase					,      __lowerCamelCase					,      __lowerCamelCase       )
                   lowerCamelCase__		:				Dict    =  self.get_next(__lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			List[Any]					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			int       ):


             '''simple docstring'''



             right -= 1  # Because of right is exclusive
             lowerCamelCase__		:				str    =  0
             while left <= right:
                   lowerCamelCase__		:				Optional[Any]    =  self.get_prev(__lowerCamelCase       )
                   if left <= current_left:
                         lowerCamelCase__		:				Optional[Any]    =  max(__lowerCamelCase					,      self.tree[right]       )
                         lowerCamelCase__		:				Any    =  current_left
                   else:
                         lowerCamelCase__		:				Optional[Any]    =  max(__lowerCamelCase					,      self.arr[right]       )
                         right -= 1
             return result


if __name__ == "__main__":
    import doctest

    doctest.testmod()


