
"""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 						SCREAMING_SNAKE_CASE_ (						nn.Module ):




		"""simple docstring"""





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




		def 	snake_case_     (     self							,  lowerCAmelCase__):
				return self.lineara(self.batchnorm(self.lineara(lowerCAmelCase__)))



class 						SCREAMING_SNAKE_CASE_ (						unittest.TestCase ):




		"""simple docstring"""





		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = ModelForTest()
				with TemporaryDirectory() as tmp_dir:
						offload_state_dict(lowerCAmelCase__							,  model.state_dict())
						__SCREAMING_SNAKE_CASE            = os.path.join(lowerCAmelCase__							,  """index.json""")
						self.assertTrue(os.path.isfile(lowerCAmelCase__))
						# 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(lowerCAmelCase__							,  f"{key}.dat")
								self.assertTrue(os.path.isfile(lowerCAmelCase__))
								# TODO: add tests on the fact weights are properly loaded




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = [torch.floataa, torch.floataa, torch.bfloataa]

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

								__SCREAMING_SNAKE_CASE            = load_offloaded_weight(lowerCAmelCase__							,  index["""weight"""])
								self.assertTrue(torch.equal(lowerCAmelCase__							,  lowerCAmelCase__))




		def 	snake_case_     (     self):
				__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(lowerCAmelCase__							,  lowerCAmelCase__)
						__SCREAMING_SNAKE_CASE            = OffloadedWeightsLoader(state_dict=lowerCAmelCase__							,  save_folder=lowerCAmelCase__)

						# Every key is there with the right value
						self.assertEqual(sorted(lowerCAmelCase__)							,  sorted(state_dict.keys()))
						for key, param in state_dict.items():
								self.assertTrue(torch.allclose(lowerCAmelCase__							,  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(lowerCAmelCase__							,  lowerCAmelCase__)
						__SCREAMING_SNAKE_CASE            = OffloadedWeightsLoader(state_dict=lowerCAmelCase__							,  save_folder=lowerCAmelCase__)

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

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

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




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








"""simple docstring"""







from __future__ import annotations

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray


def      lowercase			(				A_  ,   A_  ,   A_ = False       )->      list[float]:
  '''simple docstring'''







  if radian_mode:
    return [magnitude * cos(A_       ), magnitude * sin(A_       )]
  return [magnitude * cos(radians(A_       )       ), magnitude * sin(radians(A_       )       )]


def      lowercase			(				A_  ,   A_  ,   A_ = 10**-1       )->      bool:
  '''simple docstring'''







  a						:		NDArray[floataa]      							=			cross(A_  ,   A_       )
  a						:		float      							=			sum(A_       )
  return abs(A_       ) < eps


if __name__ == "__main__":
 # Test to check if it works
 __lowercase    					=      array(
     [
         polar_force(7_18.4, 180 - 30),
         polar_force(8_79.54, 45),
         polar_force(100, -90),
     ]
 )

 __lowercase    					=      array([[0, 0], [0, 0], [0, 0]])

 assert in_static_equilibrium(forces, location)

 # Problem 1 in image_data/2D_problems.jpg
 __lowercase    					=      array(
     [
         polar_force(30 * 9.81, 15),
         polar_force(215, 180 - 45),
         polar_force(264, 90 - 30),
     ]
 )

 __lowercase    					=      array([[0, 0], [0, 0], [0, 0]])

 assert in_static_equilibrium(forces, location)

 # Problem in image_data/2D_problems_1.jpg
 __lowercase    					=      array([[0, -2000], [0, -1200], [0, 15600], [0, -12400]])

 __lowercase    					=      array([[0, 0], [6, 0], [10, 0], [12, 0]])

 assert in_static_equilibrium(forces, location)

 import doctest

 doctest.testmod()






