





import io
import json
import unittest

from parameterized import parameterized

from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu


lowercase_					     =	get_tests_dir() + """/test_data/fsmt/fsmt_val_data.json"""
with io.open(filename, """r""", encoding="""utf-8""") as f:
      lowercase_					     =	json.load(f)
@require_torch
class        SCREAMING_SNAKE_CASE     (unittest.TestCase   ):


   def  SCREAMING_SNAKE_CASE_							(					self    :       int    ,  a    :       Optional[Any] )->     int:





     """simple docstring"""







     return FSMTTokenizer.from_pretrained(a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple    ,  a    :       Tuple )->     Optional[int]:





     """simple docstring"""







     lowercase__			    =						FSMTForConditionalGeneration.from_pretrained(a ).to(a )
     if torch_device == "cuda":
       model.half()
     return model


   @parameterized.expand(
       [
           ['en-ru', 26.0],
           ['ru-en', 22.0],
           ['en-de', 22.0],
           ['de-en', 29.0],
       ] )
   @slow
   def  SCREAMING_SNAKE_CASE_							(					self    :       int    ,  a    :       Optional[Any]    ,  a    :       Any )->     Dict:





     """simple docstring"""







     lowercase__			    =						f"""facebook/wmt19-{pair}"""
     lowercase__			    =						self.get_tokenizer(a )
     lowercase__			    =						self.get_model(a )

     lowercase__			    =						bleu_data[pair]['src']
     lowercase__			    =						bleu_data[pair]['tgt']

     lowercase__			    =						tokenizer(a    ,  return_tensors='pt'    ,  truncation=a    ,  padding='longest' ).to(a )
     lowercase__			    =						model.generate(
         input_ids=batch.input_ids    ,  num_beams=8    ,  )
     lowercase__			    =						tokenizer.batch_decode(
         a    ,  skip_special_tokens=a    ,  clean_up_tokenization_spaces=a )
     lowercase__			    =						calculate_bleu(a    ,  a )
     print(a )
     self.assertGreaterEqual(scores['bleu']    ,  a )









def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     List[Any]:
  stooge(_SCREAMING_SNAKE_CASE	,		0	,		len(_SCREAMING_SNAKE_CASE	) - 1	)
  return arr




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     int:
  if i >= h:
    return

  # If first element is smaller than the last then swap them
  if arr[i] > arr[h]:
    lowercase__    ,					lowercase__			    =						arr[h], arr[i]

  # If there are more than 2 elements in the array
  if h - i + 1 > 2:
    lowercase__			    =						(int)((h - i + 1) / 3	)

    # Recursively sort first 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		(h - t)	)

    # Recursively sort last 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		i + t	,		(_SCREAMING_SNAKE_CASE)	)

    # Recursively sort first 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		(h - t)	)


if __name__ == "__main__":
      lowercase_					     =	input("""Enter numbers separated by a comma:\n""").strip()
      lowercase_					     =	[int(item) for item in user_input.split(""",""")]
      print(stooge_sort(unsorted))


