





'''simple docstring'''

import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment


@require_huggingface_suite
class 					a_     (				unittest.TestCase       ):

    '''simple docstring'''


    def 			snake_case_(		self       )		->   int:
        _SCREAMING_SNAKE_CASE									=			inspect.getfile(accelerate.test_utils       )
        _SCREAMING_SNAKE_CASE									=			os.path.sep.join(
            mod_file.split(os.path.sep       )[:-1] + ["""scripts""", """external_deps""", """test_metrics.py"""]       )

        from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

        _SCREAMING_SNAKE_CASE									=			test_metrics


    @require_cpu
    def 			snake_case_(		self       )		->   int:
        debug_launcher(self.test_metrics.main ,		num_processes=1       )


    @require_cpu
    def 			snake_case_(		self       )		->   str:
        debug_launcher(self.test_metrics.main       )


    @require_single_gpu
    def 			snake_case_(		self       )		->   Optional[Any]:
        self.test_metrics.main()





    @require_multi_gpu
    def 			snake_case_(		self       )		->   str:
        print(f'Found {torch.cuda.device_count()} devices.'       )
        _SCREAMING_SNAKE_CASE									=			["""torchrun""", f'--nproc_per_node={torch.cuda.device_count()}', self.test_file_path]
        with patch_environment(omp_num_threads=1       ):
            execute_subprocess_async(A ,		env=os.environ.copy()       )






from collections import deque

from .hash_table import HashTable







class   __lowercase      (_UpperCAmelCase ):
 def __init__(							self      ,							*A_      ,							**A_					)					->int:



       '''simple docstring'''





       super().__init__(*A_      ,							**A_					)
 def 	UpperCamelCase__  (							self      ,							A_      ,							A_					)					->Optional[int]:



       '''simple docstring'''





       __lowerCAmelCase					:						Dict					=					deque([]					) if self.values[key] is None else self.values[key]
       self.values[key].appendleft(A_					)
       __lowerCAmelCase					:						int					=					self.values[key]
 def 	UpperCamelCase__  (							self					)					->Tuple:



       '''simple docstring'''





       return (
           sum(self.charge_factor - len(A_					) for slot in self.values					)
           / self.size_table
           * self.charge_factor
       )





 def 	UpperCamelCase__  (							self      ,							A_      ,							A_=None					)					->str:



       '''simple docstring'''





       if not (
           len(self.values[key]					) == self.charge_factor and self.values.count(A_					) == 0
       ):
             return key
       return super()._collision_resolution(A_      ,							A_					)


