

'''simple docstring'''



import os
import unittest
from tempfile import TemporaryDirectory

import torch
import torch.nn as nn

from accelerate.utils import (
    OffloadedWeightsLoader,
    extract_submodules_state_dict,
    load_offloaded_weight,
    offload_state_dict,
    offload_weight,
)







class 						lowerCAmelCase__   (      nn.Module					):



 """simple docstring"""



 def __init__(		self					:       str			)  -> Dict:


      """simple docstring"""




      super().__init__()
      __SCREAMING_SNAKE_CASE     =      nn.Linear(3					,							4			)
      __SCREAMING_SNAKE_CASE     =      nn.BatchNormad(4			)
      __SCREAMING_SNAKE_CASE     =      nn.Linear(4					,							5			)


 def       UpperCAmelCase__		(		self					:       Tuple					,							__SCREAMING_SNAKE_CASE					:       Optional[int]			)  -> Optional[Any]:


      """simple docstring"""




      return self.lineara(self.batchnorm(self.lineara(__SCREAMING_SNAKE_CASE			)			)			)







class 						lowerCAmelCase__   (      unittest.TestCase					):



 """simple docstring"""



 def       UpperCAmelCase__		(		self					:       Dict			)  -> Dict:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      ModelForTest()
      with TemporaryDirectory() as tmp_dir:
           offload_state_dict(__SCREAMING_SNAKE_CASE					,							model.state_dict()			)
           __SCREAMING_SNAKE_CASE     =      os.path.join(__SCREAMING_SNAKE_CASE					,							"""index.json"""			)
           self.assertTrue(os.path.isfile(__SCREAMING_SNAKE_CASE			)			)
           # TODO: add tests on what is inside the index

           for key in ["linear1.weight", "linear1.bias", "linear2.weight", "linear2.bias"]:
                __SCREAMING_SNAKE_CASE     =      os.path.join(__SCREAMING_SNAKE_CASE					,							f'{key}.dat'			)
                self.assertTrue(os.path.isfile(__SCREAMING_SNAKE_CASE			)			)
                # TODO: add tests on the fact weights are properly loaded
 def       UpperCAmelCase__		(		self					:       List[Any]			)  -> Union[str, Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      [torch.floataa, torch.floataa, torch.bfloataa]

      for dtype in dtypes:
           __SCREAMING_SNAKE_CASE     =      torch.randn(2					,							3					,							dtype=__SCREAMING_SNAKE_CASE			)
           with TemporaryDirectory() as tmp_dir:
                __SCREAMING_SNAKE_CASE     =      offload_weight(__SCREAMING_SNAKE_CASE					,							"""weight"""					,							__SCREAMING_SNAKE_CASE					,							{}			)
                __SCREAMING_SNAKE_CASE     =      os.path.join(__SCREAMING_SNAKE_CASE					,							"""weight.dat"""			)
                self.assertTrue(os.path.isfile(__SCREAMING_SNAKE_CASE			)			)
                self.assertDictEqual(__SCREAMING_SNAKE_CASE					,							{"""weight""": {"""shape""": [2, 3], """dtype""": str(__SCREAMING_SNAKE_CASE			).split("""."""			)[1]}}			)

                __SCREAMING_SNAKE_CASE     =      load_offloaded_weight(__SCREAMING_SNAKE_CASE					,							index["""weight"""]			)
                self.assertTrue(torch.equal(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			)			)
 def       UpperCAmelCase__		(		self					:       Optional[int]			)  -> List[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      ModelForTest()
      __SCREAMING_SNAKE_CASE     =      model.state_dict()
      __SCREAMING_SNAKE_CASE     =      {k: v for k, v in state_dict.items() if """linear2""" not in k}
      __SCREAMING_SNAKE_CASE     =      {k: v for k, v in state_dict.items() if """linear2""" in k}

      with TemporaryDirectory() as tmp_dir:
           offload_state_dict(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			)
           __SCREAMING_SNAKE_CASE     =      OffloadedWeightsLoader(state_dict=__SCREAMING_SNAKE_CASE					,							save_folder=__SCREAMING_SNAKE_CASE			)

           # Every key is there with the right value
           self.assertEqual(sorted(__SCREAMING_SNAKE_CASE			)					,							sorted(state_dict.keys()			)			)
           for key, param in state_dict.items():
                self.assertTrue(torch.allclose(__SCREAMING_SNAKE_CASE					,							weight_map[key]			)			)

      __SCREAMING_SNAKE_CASE     =      {k: v for k, v in state_dict.items() if """weight""" in k}
      __SCREAMING_SNAKE_CASE     =      {k: v for k, v in state_dict.items() if """weight""" not in k}

      with TemporaryDirectory() as tmp_dir:
           offload_state_dict(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			)
           __SCREAMING_SNAKE_CASE     =      OffloadedWeightsLoader(state_dict=__SCREAMING_SNAKE_CASE					,							save_folder=__SCREAMING_SNAKE_CASE			)

           # Every key is there with the right value
           self.assertEqual(sorted(__SCREAMING_SNAKE_CASE			)					,							sorted(state_dict.keys()			)			)
           for key, param in state_dict.items():
                self.assertTrue(torch.allclose(__SCREAMING_SNAKE_CASE					,							weight_map[key]			)			)

      with TemporaryDirectory() as tmp_dir:
           offload_state_dict(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			)
           # Duplicates are removed
           __SCREAMING_SNAKE_CASE     =      OffloadedWeightsLoader(state_dict=__SCREAMING_SNAKE_CASE					,							save_folder=__SCREAMING_SNAKE_CASE			)

           # Every key is there with the right value
           self.assertEqual(sorted(__SCREAMING_SNAKE_CASE			)					,							sorted(state_dict.keys()			)			)
           for key, param in state_dict.items():
                self.assertTrue(torch.allclose(__SCREAMING_SNAKE_CASE					,							weight_map[key]			)			)


 def       UpperCAmelCase__		(		self					:       str			)  -> List[str]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      {"""a.1""": 0, """a.10""": 1, """a.2""": 2}
      __SCREAMING_SNAKE_CASE     =      extract_submodules_state_dict(__SCREAMING_SNAKE_CASE					,							["""a.1""", """a.2"""]			)
      self.assertDictEqual(__SCREAMING_SNAKE_CASE					,							{"""a.1""": 0, """a.2""": 2}			)

      __SCREAMING_SNAKE_CASE     =      {"""a.1.a""": 0, """a.10.a""": 1, """a.2.a""": 2}
      __SCREAMING_SNAKE_CASE     =      extract_submodules_state_dict(__SCREAMING_SNAKE_CASE					,							["""a.1""", """a.2"""]			)
      self.assertDictEqual(__SCREAMING_SNAKE_CASE					,							{"""a.1.a""": 0, """a.2.a""": 2}			)









'''simple docstring'''



class 						lowerCAmelCase__   :



 """simple docstring"""



 def __init__(		self					:       List[Any]					,							__SCREAMING_SNAKE_CASE					:       int					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]					,							__SCREAMING_SNAKE_CASE					:       Any			)  -> Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      name
      __SCREAMING_SNAKE_CASE     =      value
      __SCREAMING_SNAKE_CASE     =      weight
 def __repr__(		self					:       str			)  -> Union[str, Any]:


      """simple docstring"""




      return f'{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'
 def       UpperCAmelCase__		(		self					:       List[Any]			)  -> List[Any]:


      """simple docstring"""




      return self.value
 def       UpperCAmelCase__		(		self					:       Any			)  -> str:


      """simple docstring"""




      return self.name
 def       UpperCAmelCase__		(		self					:       Union[str, Any]			)  -> Union[str, Any]:


      """simple docstring"""




      return self.weight


 def       UpperCAmelCase__		(		self					:       int			)  -> Tuple:


      """simple docstring"""




      return self.value / self.weight







def    a__       (  a__      ,    a__      ,    a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      []
     for i in range(len(a__						)						):
          menu.append(Things(name[i]      ,    value[i]      ,    weight[i]						)						)
     return menu







def    a__       (  a__      ,    a__      ,    a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      sorted(a__      ,    key=a__      ,    reverse=a__						)
     __SCREAMING_SNAKE_CASE     =      []
     __SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE     =      0.0, 0.0
     for i in range(len(a__						)						):
          if (total_cost + items_copy[i].get_weight()) <= max_cost:
               result.append(items_copy[i]						)
               total_cost += items_copy[i].get_weight()
               total_value += items_copy[i].get_value()
     return (result, total_value)







def    a__       (  ):




     """simple docstring"""




if __name__ == "__main__":
  import doctest

  doctest.testmod()






