


'''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 ):






      def __init__(   self							:       List[Any]					):


          '''simple docstring'''


          super().__init__()
          UpperCAmelCase__     :						List[Any]						=							nn.Linear(3		,		4					)
          UpperCAmelCase__     :						Optional[int]						=							nn.BatchNormad(4					)
          UpperCAmelCase__     :						Tuple						=							nn.Linear(4		,		5					)






      def lowercase_				(   self							:       Union[str, Any]		,		_A							:       Optional[int]					):


          '''simple docstring'''


          return self.lineara(self.batchnorm(self.lineara(UpperCamelCase_					)					)					)




class      lowerCamelCase_  (      unittest.TestCase ):






      def lowercase_				(   self							:       Dict					):


          '''simple docstring'''


          UpperCAmelCase__     :						Dict						=							ModelForTest()
          with TemporaryDirectory() as tmp_dir:
              offload_state_dict(UpperCamelCase_		,		model.state_dict()					)
              UpperCAmelCase__     :						List[str]						=							os.path.join(UpperCamelCase_		,		'''index.json'''					)
              self.assertTrue(os.path.isfile(UpperCamelCase_					)					)
              # TODO: add tests on what is inside the index

              for key in ["linear1.weight", "linear1.bias", "linear2.weight", "linear2.bias"]:
                  UpperCAmelCase__     :						Dict						=							os.path.join(UpperCamelCase_		,		f"""{key}.dat"""					)
                  self.assertTrue(os.path.isfile(UpperCamelCase_					)					)
                  # TODO: add tests on the fact weights are properly loaded






      def lowercase_				(   self							:       Optional[int]					):


          '''simple docstring'''


          UpperCAmelCase__     :						List[str]						=							[torch.floataa, torch.floataa, torch.bfloataa]

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

                  UpperCAmelCase__     :						int						=							load_offloaded_weight(UpperCamelCase_		,		index['''weight''']					)
                  self.assertTrue(torch.equal(UpperCamelCase_		,		UpperCamelCase_					)					)






      def lowercase_				(   self							:       int					):


          '''simple docstring'''


          UpperCAmelCase__     :						List[Any]						=							ModelForTest()
          UpperCAmelCase__     :						Union[str, Any]						=							model.state_dict()
          UpperCAmelCase__     :						Union[str, Any]						=							{k: v for k, v in state_dict.items() if '''linear2''' not in k}
          UpperCAmelCase__     :						Any						=							{k: v for k, v in state_dict.items() if '''linear2''' in k}

          with TemporaryDirectory() as tmp_dir:
              offload_state_dict(UpperCamelCase_		,		UpperCamelCase_					)
              UpperCAmelCase__     :						Optional[int]						=							OffloadedWeightsLoader(state_dict=UpperCamelCase_		,		save_folder=UpperCamelCase_					)

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

          UpperCAmelCase__     :						Dict						=							{k: v for k, v in state_dict.items() if '''weight''' in k}
          UpperCAmelCase__     :						List[Any]						=							{k: v for k, v in state_dict.items() if '''weight''' not in k}

          with TemporaryDirectory() as tmp_dir:
              offload_state_dict(UpperCamelCase_		,		UpperCamelCase_					)
              UpperCAmelCase__     :						Tuple						=							OffloadedWeightsLoader(state_dict=UpperCamelCase_		,		save_folder=UpperCamelCase_					)

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

          with TemporaryDirectory() as tmp_dir:
              offload_state_dict(UpperCamelCase_		,		UpperCamelCase_					)
              # Duplicates are removed
              UpperCAmelCase__     :						List[str]						=							OffloadedWeightsLoader(state_dict=UpperCamelCase_		,		save_folder=UpperCamelCase_					)

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






      def lowercase_				(   self							:       List[str]					):


          '''simple docstring'''


          UpperCAmelCase__     :						Tuple						=							{'''a.1''': 0, '''a.10''': 1, '''a.2''': 2}
          UpperCAmelCase__     :						Optional[Any]						=							extract_submodules_state_dict(UpperCamelCase_		,		['''a.1''', '''a.2''']					)
          self.assertDictEqual(UpperCamelCase_		,		{'''a.1''': 0, '''a.2''': 2}					)

          UpperCAmelCase__     :						Optional[int]						=							{'''a.1.a''': 0, '''a.10.a''': 1, '''a.2.a''': 2}
          UpperCAmelCase__     :						List[Any]						=							extract_submodules_state_dict(UpperCamelCase_		,		['''a.1''', '''a.2''']					)
          self.assertDictEqual(UpperCamelCase_		,		{'''a.1.a''': 0, '''a.2.a''': 2}					)







'''simple docstring'''




import cmath
import math




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_							)   ->complex:
	snake_case__	       =   math.radians(UpperCAmelCase_							)
	snake_case__	       =   math.radians(UpperCAmelCase_							)

	# Convert voltage and current to rectangular form
	snake_case__	       =   cmath.rect(UpperCAmelCase_					,				UpperCAmelCase_							)
	snake_case__	       =   cmath.rect(UpperCAmelCase_					,				UpperCAmelCase_							)

	# Calculate apparent power
	return voltage_rect * current_rect


if __name__ == "__main__":
			import doctest

			doctest.testmod()



