






import tempfile
import unittest

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.testing_utils import (
    is_torch_available,
    require_optimum,
    require_torch,
    slow,
)


if is_torch_available():
       import torch







@require_torch
@require_optimum
@slow
class  _lowercase   (   unittest.TestCase						):
      def 						lowercase__					(     self   ):
       snake_case__  :    List[str]							       ="""hf-internal-testing/tiny-random-t5"""
       snake_case__  :    Optional[int]							       =AutoTokenizer.from_pretrained(a   )
       snake_case__  :    Dict							       =AutoModelForSeqaSeqLM.from_pretrained(a   )

       snake_case__  :    Tuple							       =tokenizer("""This is me"""				,			return_tensors="""pt"""   )

       snake_case__  :    int							       =model.to_bettertransformer()

       self.assertTrue(any("""BetterTransformer""" in mod.__class__.__name__ for _, mod in model.named_modules()   )   )

       snake_case__  :    Optional[int]							       =model.generate(**a   )

       snake_case__  :    List[Any]							       =model.reverse_bettertransformer()

       self.assertFalse(any("""BetterTransformer""" in mod.__class__.__name__ for _, mod in model.named_modules()   )   )

       with tempfile.TemporaryDirectory() as tmpdirname:
        model.save_pretrained(a   )

        snake_case__  :    Any							       =AutoModelForSeqaSeqLM.from_pretrained(a   )

        self.assertFalse(
            any("""BetterTransformer""" in mod.__class__.__name__ for _, mod in model_reloaded.named_modules()   )   )

        snake_case__  :    Optional[int]							       =model_reloaded.generate(**a   )
        self.assertTrue(torch.allclose(a				,			a   )   )



      def 						lowercase__					(     self   ):
       snake_case__  :    Tuple							       ="""hf-internal-testing/tiny-random-t5"""
       snake_case__  :    Any							       =AutoModelForSeqaSeqLM.from_pretrained(a   )

       snake_case__  :    Dict							       =model.to_bettertransformer()

       with tempfile.TemporaryDirectory() as tmpdirname:
        with self.assertRaises(a   ):
         model.save_pretrained(a   )

        snake_case__  :    Optional[int]							       =model.reverse_bettertransformer()
        model.save_pretrained(a   )













class  _lowercase   :
      def __init__(     self				,			a   ):
       snake_case__  :    Optional[int]							       =size
       snake_case__  :    List[Any]							       =[0] * size
       snake_case__  :    List[Any]							       =[0] * size
      @staticmethod
      def 						lowercase__					(     a   ):
       return index | (index + 1)
      @staticmethod
      def 						lowercase__					(     a   ):
       return (index & (index + 1)) - 1
      def 						lowercase__					(     self				,			a				,			a   ):
       snake_case__  :    Optional[Any]							       =value
       while index < self.size:
        snake_case__  :    str							       =self.get_prev(a   ) + 1
        if current_left_border == index:
         snake_case__  :    Dict							       =value
        else:
         snake_case__  :    str							       =max(a				,			a				,			a   )
        snake_case__  :    Dict							       =self.get_next(a   )



      def 						lowercase__					(     self				,			a				,			a   ):
       right -= 1  # Because of right is exclusive
       snake_case__  :    Union[str, Any]							       =0
       while left <= right:
        snake_case__  :    List[str]							       =self.get_prev(a   )
        if left <= current_left:
         snake_case__  :    Optional[Any]							       =max(a				,			self.tree[right]   )
         snake_case__  :    Optional[Any]							       =current_left
        else:
         snake_case__  :    Tuple							       =max(a				,			self.arr[right]   )
         right -= 1
       return result


if __name__ == "__main__":
       import doctest

       doctest.testmod()





