



from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

__snake_case       :	str            =TypeVar('KEY')
__snake_case       :	Tuple            =TypeVar('VAL')



@dataclass(frozen=lowerCamelCase__   ,       slots=lowerCamelCase__)
class  lowerCamelCase__    (							Generic[KEY, VAL]):




		'''simple docstring'''



		snake_case_			=42
		snake_case_			=42



class  lowerCamelCase__    (							_Item):




		'''simple docstring'''



		def __init__(self				)  ->    None:

						"""simple docstring"""






						super().__init__(__lowerCamelCase	,__lowerCamelCase				)



		def __bool__(self				)  ->    bool:

						"""simple docstring"""






						return False


__snake_case       :	Optional[int]            =_DeletedItem()



class  lowerCamelCase__    (							MutableMapping[KEY, VAL]):




		'''simple docstring'''



		def __init__(self	,__lowerCamelCase = 8	,__lowerCamelCase = 0.75				)  ->    None:

						"""simple docstring"""






						lowerCAmelCase__  :       str				=  initial_block_size
						lowerCAmelCase__  :       list[_Item | None]				=  [None] * initial_block_size
						assert 0.0 < capacity_factor < 1.0
						lowerCAmelCase__  :       int				=  capacity_factor
						lowerCAmelCase__  :       Union[str, Any]				=  0



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    int:

						"""simple docstring"""






						return hash(__lowerCamelCase				) % len(self._buckets				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    int:

						"""simple docstring"""






						return (ind + 1) % len(self._buckets				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase				)  ->    bool:

						"""simple docstring"""






						lowerCAmelCase__  :       Union[str, Any]				=  self._buckets[ind]
						if not stored:
										lowerCAmelCase__  :       List[str]				=  _Item(__lowerCamelCase	,__lowerCamelCase				)
										self._len += 1
										return True
						elif stored.key == key:
										lowerCAmelCase__  :       List[str]				=  _Item(__lowerCamelCase	,__lowerCamelCase				)
										return True
						else:
										return False



		def 	lowerCAmelCase__   (self				)  ->    bool:

						"""simple docstring"""






						lowerCAmelCase__  :       List[Any]				=  len(self._buckets				) * self._capacity_factor
						return len(self				) >= int(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self				)  ->    bool:

						"""simple docstring"""






						if len(self._buckets				) <= self._initial_block_size:
										return False
						lowerCAmelCase__  :       List[Any]				=  len(self._buckets				) * self._capacity_factor / 2
						return len(self				) < limit



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    None:

						"""simple docstring"""






						lowerCAmelCase__  :       List[str]				=  self._buckets
						lowerCAmelCase__  :       Tuple				=  [None] * new_size
						lowerCAmelCase__  :       Dict				=  0
						for item in old_buckets:
										if item:
														self._add_item(item.key	,item.val				)



		def 	lowerCAmelCase__   (self				)  ->    None:

						"""simple docstring"""






						self._resize(len(self._buckets				) * 2				)



		def 	lowerCAmelCase__   (self				)  ->    None:

						"""simple docstring"""






						self._resize(len(self._buckets				) // 2				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Iterator[int]:

						"""simple docstring"""






						lowerCAmelCase__  :       List[str]				=  self._get_bucket_index(__lowerCamelCase				)
						for _ in range(len(self._buckets				)				):
										yield ind
										lowerCAmelCase__  :       int				=  self._get_next_ind(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase				)  ->    None:

						"""simple docstring"""






						for ind in self._iterate_buckets(__lowerCamelCase				):
										if self._try_set(__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase				):
														break



		def __setitem__(self	,__lowerCamelCase	,__lowerCamelCase				)  ->    None:

						"""simple docstring"""






						if self._is_full():
										self._size_up()

						self._add_item(__lowerCamelCase	,__lowerCamelCase				)



		def __delitem__(self	,__lowerCamelCase				)  ->    None:

						"""simple docstring"""






						for ind in self._iterate_buckets(__lowerCamelCase				):
										lowerCAmelCase__  :       List[str]				=  self._buckets[ind]
										if item is None:
														raise KeyError(__lowerCamelCase				)
										if item is _deleted:
														continue
										if item.key == key:
														lowerCAmelCase__  :       Tuple				=  _deleted
														self._len -= 1
														break
						if self._is_sparse():
										self._size_down()



		def __getitem__(self	,__lowerCamelCase				)  ->    VAL:

						"""simple docstring"""






						for ind in self._iterate_buckets(__lowerCamelCase				):
										lowerCAmelCase__  :       Tuple				=  self._buckets[ind]
										if item is None:
														break
										if item is _deleted:
														continue
										if item.key == key:
														return item.val
						raise KeyError(__lowerCamelCase				)



		def __len__(self				)  ->    int:

						"""simple docstring"""






						return self._len



		def __iter__(self				)  ->    Iterator[KEY]:

						"""simple docstring"""






						yield from (item.key for item in self._buckets if item)



		def __repr__(self				)  ->    str:

						"""simple docstring"""






						lowerCAmelCase__  :       Union[str, Any]				=  ''' ,'''.join(
						    f"""{item.key}: {item.val}""" for item in self._buckets if item				)
						return f"""HashMap({val_string})"""






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


__snake_case       :	Optional[int]            =get_tests_dir() + '/test_data/fsmt/fsmt_val_data.json'
with io.open(filename, 'r', encoding='utf-8') as f:
							__snake_case       :	Optional[Any]            =json.load(f)



@require_torch
class  lowerCamelCase__    (							unittest.TestCase):




		'''simple docstring'''



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Dict:

						"""simple docstring"""






						return FSMTTokenizer.from_pretrained(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Optional[int]:

						"""simple docstring"""






						lowerCAmelCase__  :       Optional[Any]				=  FSMTForConditionalGeneration.from_pretrained(__lowerCamelCase				).to(__lowerCamelCase				)
						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 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase				)  ->    Any:

						"""simple docstring"""






						lowerCAmelCase__  :       List[str]				=  f"""facebook/wmt19-{pair}"""
						lowerCAmelCase__  :       int				=  self.get_tokenizer(__lowerCamelCase				)
						lowerCAmelCase__  :       Optional[int]				=  self.get_model(__lowerCamelCase				)

						lowerCAmelCase__  :       List[Any]				=  bleu_data[pair]['''src''']
						lowerCAmelCase__  :       List[Any]				=  bleu_data[pair]['''tgt''']

						lowerCAmelCase__  :       List[str]				=  tokenizer(__lowerCamelCase	,return_tensors='''pt'''	,truncation=__lowerCamelCase	,padding='''longest'''				).to(__lowerCamelCase				)
						lowerCAmelCase__  :       List[str]				=  model.generate(
						    input_ids=batch.input_ids	,num_beams=8	,)
						lowerCAmelCase__  :       Tuple				=  tokenizer.batch_decode(
						    __lowerCamelCase	,skip_special_tokens=__lowerCamelCase	,clean_up_tokenization_spaces=__lowerCamelCase				)
						lowerCAmelCase__  :       Union[str, Any]				=  calculate_bleu(__lowerCamelCase	,__lowerCamelCase				)
						print(__lowerCamelCase				)
						self.assertGreaterEqual(scores['''bleu''']	,__lowerCamelCase				)

