





"""simple docstring"""


from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

A_     :      Any								=TypeVar("""T""")
A_     :      List[Any]								=TypeVar("""U""")







class 	__a   (  Generic[T, U]		):



     def __init__(       self					,     a__					,     a__   ):
            _lowerCamelCase    	=					key
            _lowerCamelCase    	=					val
            _lowerCamelCase    	=					0
            _lowerCamelCase    	=					None
            _lowerCamelCase    	=					None



     def __repr__(       self   ):
            return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
                self.key					,     self.val					,     self.freq					,     self.next is not None					,     self.prev is not None   )







class 	__a   (  Generic[T, U]		):



     def __init__(       self   ):
            _lowerCamelCase    	=					DoubleLinkedListNode(a__					,     a__   )
            _lowerCamelCase    	=					DoubleLinkedListNode(a__					,     a__   )
            _lowerCamelCase	,	_lowerCamelCase    	=					self.rear, self.head



     def __repr__(       self   ):
            _lowerCamelCase    	=					['DoubleLinkedList']
            _lowerCamelCase    	=					self.head
            while node.next is not None:
                   rep.append(str(a__   )   )
                   _lowerCamelCase    	=					node.next
            rep.append(str(self.rear   )   )
            return ",\n    ".join(a__   )



     def 						snake_case_			(       self					,     a__   ):
            _lowerCamelCase    	=					self.rear.prev

            # All nodes other than self.head are guaranteed to have non-None previous
            assert previous is not None

            _lowerCamelCase    	=					node
            _lowerCamelCase    	=					previous
            _lowerCamelCase    	=					node
            _lowerCamelCase    	=					self.rear
            node.freq += 1
            self._position_node(a__   )



     def 						snake_case_			(       self					,     a__   ):

            while node.prev is not None and node.prev.freq > node.freq:
                   # swap node with previous node
                   _lowerCamelCase    	=					node.prev

                   _lowerCamelCase    	=					previous_node.prev
                   _lowerCamelCase    	=					node.prev
                   _lowerCamelCase    	=					previous_node
                   _lowerCamelCase    	=					node



     def 						snake_case_			(       self					,     a__   ):

            if node.prev is None or node.next is None:
                   return None

            _lowerCamelCase    	=					node.next
            _lowerCamelCase    	=					node.prev
            _lowerCamelCase    	=					None
            _lowerCamelCase    	=					None
            return node







class 	__a   (  Generic[T, U]		):
     SCREAMING_SNAKE_CASE__ :      dict[Callable[[T], U], LFUCache[T, U]]       		=			{}



     def __init__(       self					,     a__   ):
            _lowerCamelCase    	=					DoubleLinkedList()
            _lowerCamelCase    	=					capacity
            _lowerCamelCase    	=					0
            _lowerCamelCase    	=					0
            _lowerCamelCase    	=					0
            _lowerCamelCase    	=					{}



     def __repr__(       self   ):
            return (
                F'CacheInfo(hits={self.hits}, misses={self.miss}, '
                F'capacity={self.capacity}, current_size={self.num_keys})'
            )



     def __contains__(       self					,     a__   ):
            return key in self.cache



     def 						snake_case_			(       self					,     a__   ):

            if key in self.cache:
                   self.hits += 1
                   _lowerCamelCase    	=					self.cache[key]
                   _lowerCamelCase    	=					self.list.remove(self.cache[key]   )
                   assert node == value_node

                   # node is guaranteed not None because it is in self.cache
                   assert node is not None
                   self.list.add(a__   )
                   return node.val
            self.miss += 1
            return None



     def 						snake_case_			(       self					,     a__					,     a__   ):

            if key not in self.cache:
                   if self.num_keys >= self.capacity:
                          # delete first node when over capacity
                          _lowerCamelCase    	=					self.list.head.next

                          # guaranteed to have a non-None first node when num_keys > 0
                          # explain to type checker via assertions
                          assert first_node is not None
                          assert first_node.key is not None
                          assert self.list.remove(a__   ) is not None
                          # first_node guaranteed to be in list

                          del self.cache[first_node.key]
                          self.num_keys -= 1
                   _lowerCamelCase    	=					DoubleLinkedListNode(a__					,     a__   )
                   self.list.add(self.cache[key]   )
                   self.num_keys += 1

            else:
                   _lowerCamelCase    	=					self.list.remove(self.cache[key]   )
                   assert node is not None  # node guaranteed to be in list
                   _lowerCamelCase    	=					value
                   self.list.add(a__   )



     @classmethod
     def 						snake_case_			(       cls					,     a__ = 1_28   ):

            def cache_decorator_inner(a__   ) -> Callable[..., U]:
                   def cache_decorator_wrapper(*a__   ) -> U:
                          if func not in cls.decorator_function_to_instance_map:
                                 _lowerCamelCase    	=					LFUCache(a__   )

                          _lowerCamelCase    	=					cls.decorator_function_to_instance_map[func].get(args[0]   )
                          if result is None:
                                 _lowerCamelCase    	=					func(*a__   )
                                 cls.decorator_function_to_instance_map[func].put(args[0]					,     a__   )
                          return result

                   def cache_info() -> LFUCache[T, U]:
                          return cls.decorator_function_to_instance_map[func]

                   setattr(a__					,     'cache_info'					,     a__   )  # noqa: B010

                   return cache_decorator_wrapper

            return cache_decorator_inner


if __name__ == "__main__":
      import doctest

      doctest.testmod()







# as due to their complexity multi-gpu tests could impact other tests, and to aid debug we have those in a separate module.

import os
import sys

from transformers.testing_utils import TestCasePlus, execute_subprocess_async, get_gpu_count, require_torch_gpu, slow

from .utils import load_json


class 						a__							(   __snake_case		):



			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls    ) ->    Optional[int]:
								return cls







			@slow
			@require_torch_gpu
			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Dict:
								__a							=   self.get_auto_remove_tmp_dir()
								__a							=   f'''
            --model_name Helsinki-NLP/opus-mt-en-ro
            --save_dir {output_dir}
            --data_dir {self.test_file_dir_str}/test_data/wmt_en_ro
            --num_beams 2
            --task translation
        '''.split()

								# we want this test to run even if there is only one GPU, but if there are more we use them all
								__a							=   get_gpu_count()
								__a							=   f'''
            -m torch.distributed.launch
            --nproc_per_node={n_gpu}
            {self.test_file_dir}/run_distributed_eval.py
        '''.split()
								__a							=   [sys.executable] + distributed_args + args
								execute_subprocess_async(UpperCAmelCase      ,						env=self.get_env()    )

								__a							=   os.path.join(UpperCAmelCase      ,						'test_bleu.json'    )
								__a							=   load_json(UpperCAmelCase    )
								# print(metrics)
								self.assertGreaterEqual(metrics['bleu']      ,						2_5    )




