'''simple docstring'''

import inspect
import os
import unittest
from dataclasses import dataclass

import torch

from accelerate import Accelerator, DistributedDataParallelKwargs, GradScalerKwargs
from accelerate.state import AcceleratorState
from accelerate.test_utils import execute_subprocess_async, require_cuda, require_multi_gpu
from accelerate.utils import KwargsHandler



@dataclass
class 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE							=    0
       SCREAMING_SNAKE_CASE							=    False
       SCREAMING_SNAKE_CASE							=    3.0



class 			UpperCAmelCase  (						unittest.TestCase					):





       '''simple docstring'''



       def _lowerCAmelCase(						self )  ->  str:
        # If no defaults are changed, `to_kwargs` returns an empty dict.
        self.assertDictEqual(MockClass().to_kwargs()	,   {} )
        self.assertDictEqual(MockClass(a=2 ).to_kwargs()	,   {'''a''': 2} )
        self.assertDictEqual(MockClass(a=2	,   b=__lowerCAmelCase ).to_kwargs()	,   {'''a''': 2, '''b''': True} )
        self.assertDictEqual(MockClass(a=2	,   c=2.2_5 ).to_kwargs()	,   {'''a''': 2, '''c''': 2.2_5} )

       @require_cuda
       def _lowerCAmelCase(						self )  ->  Optional[int]:
        # If no defaults are changed, `to_kwargs` returns an empty dict.
        lowercase__				:    Optional[Any]  =					GradScalerKwargs(init_scale=1024	,   growth_factor=2 )
        AcceleratorState._reset_state()
        lowercase__				:    Dict  =					Accelerator(mixed_precision='''fp16'''	,   kwargs_handlers=[scaler_handler] )
        print(accelerator.use_fpaa )
        lowercase__				:    Optional[int]  =					accelerator.scaler

        # Check the kwargs have been applied
        self.assertEqual(scaler._init_scale	,   1_0_2_4.0 )
        self.assertEqual(scaler._growth_factor	,   2.0 )

        # Check the other values are at the default
        self.assertEqual(scaler._backoff_factor	,   0.5 )
        self.assertEqual(scaler._growth_interval	,   2000 )
        self.assertEqual(scaler._enabled	,   __lowerCAmelCase )


       @require_multi_gpu
       def _lowerCAmelCase(						self )  ->  Union[str, Any]:
        lowercase__				:    List[Any]  =					['''torchrun''', F"""--nproc_per_node={torch.cuda.device_count()}""", inspect.getfile(self.__class__ )]
        execute_subprocess_async(__lowerCAmelCase	,   env=os.environ.copy() )


if __name__ == "__main__":
  __a: Union[str, Any]          =   DistributedDataParallelKwargs(bucket_cap_mb=15, find_unused_parameters=True)
  __a: List[str]          =   Accelerator(kwargs_handlers=[ddp_scaler])
  __a: Optional[int]          =   torch.nn.Linear(1_00, 2_00)
  __a: Optional[Any]          =   accelerator.prepare(model)

  # Check the values changed in kwargs
  __a: List[str]          =   """"""
  __a: List[Any]          =   model.bucket_bytes_cap // (10_24 * 10_24)
  if observed_bucket_cap_map != 15:
    error_msg += F"Kwargs badly passed, should have `15` but found {observed_bucket_cap_map}.\n"
  if model.find_unused_parameters is not True:
    error_msg += F"Kwargs badly passed, should have `True` but found {model.find_unused_parameters}.\n"

  # Check the values of the defaults
  if model.dim != 0:
    error_msg += F"Default value not respected, should have `0` but found {model.dim}.\n"
  if model.broadcast_buffers is not True:
    error_msg += F"Default value not respected, should have `True` but found {model.broadcast_buffers}.\n"
  if model.gradient_as_bucket_view is not False:
    error_msg += F"Default value not respected, should have `False` but found {model.gradient_as_bucket_view}.\n"

  # Raise error at the end to make sure we don't stop at the first failure.
  if len(error_msg) > 0:
    raise ValueError(error_msg)


'''simple docstring'''

import unittest

from knapsack import knapsack as k



class 			UpperCAmelCase  (						unittest.TestCase					):





       '''simple docstring'''



       def _lowerCAmelCase(						self )  ->  Tuple:
        lowercase__				:    Optional[Any]  =					0
        lowercase__				:    Any  =					[0]
        lowercase__				:    List[Any]  =					[0]
        lowercase__				:    Optional[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   0 )

        lowercase__				:    List[str]  =					[60]
        lowercase__				:    List[str]  =					[10]
        lowercase__				:    List[str]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   0 )

       def _lowerCAmelCase(						self )  ->  Optional[Any]:
        lowercase__				:    Optional[Any]  =					3
        lowercase__				:    List[Any]  =					[1, 2, 3]
        lowercase__				:    Union[str, Any]  =					[3, 2, 1]
        lowercase__				:    List[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   5 )


       def _lowerCAmelCase(						self )  ->  Optional[Any]:
        lowercase__				:    int  =					50
        lowercase__				:    Any  =					[60, 100, 120]
        lowercase__				:    int  =					[10, 20, 30]
        lowercase__				:    Optional[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   220 )


if __name__ == "__main__":
  unittest.main()

