'''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 					__magic_name__		(					nn.Module):







			def __init__(			self       :						List[Any]					):
										super().__init__()
										lowercase_      :    Optional[Any]       		= nn.Linear(3       ,    4					)
										lowercase_      :    List[str]       		= nn.BatchNormad(4					)
										lowercase_      :    List[Any]       		= nn.Linear(4       ,    5					)







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Optional[int]       ,    lowercase_       :						Union[str, Any]					):
										return self.lineara(self.batchnorm(self.lineara(lowercase_					)					)					)





class 					__magic_name__		(					unittest.TestCase):







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Dict					):
										lowercase_      :    Optional[int]       		= ModelForTest()
										with TemporaryDirectory() as tmp_dir:
																	offload_state_dict(lowercase_       ,    model.state_dict()					)
																	lowercase_      :    Any       		= os.path.join(lowercase_       ,    """index.json"""					)
																	self.assertTrue(os.path.isfile(lowercase_					)					)
																	# TODO: add tests on what is inside the index

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







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Tuple					):
										lowercase_      :    Optional[Any]       		= [torch.floataa, torch.floataa, torch.bfloataa]

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

																								lowercase_      :    Tuple       		= load_offloaded_weight(lowercase_       ,    index["""weight"""]					)
																								self.assertTrue(torch.equal(lowercase_       ,    lowercase_					)					)







			def 			SCREAMING_SNAKE_CASE_  (			self       :						int					):
										lowercase_      :    Dict       		= ModelForTest()
										lowercase_      :    Union[str, Any]       		= model.state_dict()
										lowercase_      :    str       		= {k: v for k, v in state_dict.items() if """linear2""" not in k}
										lowercase_      :    Optional[Any]       		= {k: v for k, v in state_dict.items() if """linear2""" in k}

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

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

										lowercase_      :    Optional[int]       		= {k: v for k, v in state_dict.items() if """weight""" in k}
										lowercase_      :    Tuple       		= {k: v for k, v in state_dict.items() if """weight""" not in k}

										with TemporaryDirectory() as tmp_dir:
																	offload_state_dict(lowercase_       ,    lowercase_					)
																	lowercase_      :    Optional[Any]       		= OffloadedWeightsLoader(state_dict=lowercase_       ,    save_folder=lowercase_					)

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

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

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







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Optional[int]					):
										lowercase_      :    str       		= {"""a.1""": 0, """a.10""": 1, """a.2""": 2}
										lowercase_      :    Any       		= extract_submodules_state_dict(lowercase_       ,    ["""a.1""", """a.2"""]					)
										self.assertDictEqual(lowercase_       ,    {"""a.1""": 0, """a.2""": 2}					)

										lowercase_      :    Any       		= {"""a.1.a""": 0, """a.10.a""": 1, """a.2.a""": 2}
										lowercase_      :    List[str]       		= extract_submodules_state_dict(lowercase_       ,    ["""a.1""", """a.2"""]					)
										self.assertDictEqual(lowercase_       ,    {"""a.1.a""": 0, """a.2.a""": 2}					)






'''simple docstring'''




_lowercase		:				int	       =		"ABCDEFGHIJKLMNOPQRSTUVWXYZ"




def 							lowerCamelCase			(   )    ->   None:
							lowercase_      :    List[Any]       		= input("""Enter message: """				)
							lowercase_      :    str       		= input("""Enter key [alphanumeric]: """				)
							lowercase_      :    List[Any]       		= input("""Encrypt/Decrypt [e/d]: """				)

							if mode.lower().startswith("""e"""				):
														lowercase_      :    List[str]       		= """encrypt"""
														lowercase_      :    Optional[int]       		= encrypt_message(UpperCAmelCase__   ,   UpperCAmelCase__				)
							elif mode.lower().startswith("""d"""				):
														lowercase_      :    Any       		= """decrypt"""
														lowercase_      :    Optional[Any]       		= decrypt_message(UpperCAmelCase__   ,   UpperCAmelCase__				)

							print(F'''\n{mode.title()}ed message:'''				)
							print(UpperCAmelCase__				)




def 							lowerCamelCase			(   UpperCAmelCase__ :      str   ,   UpperCAmelCase__ :      str				)    ->   str:
							return translate_message(UpperCAmelCase__   ,   UpperCAmelCase__   ,   """encrypt"""				)




def 							lowerCamelCase			(   UpperCAmelCase__ :      str   ,   UpperCAmelCase__ :      str				)    ->   str:
							return translate_message(UpperCAmelCase__   ,   UpperCAmelCase__   ,   """decrypt"""				)




def 							lowerCamelCase			(   UpperCAmelCase__ :      str   ,   UpperCAmelCase__ :      str   ,   UpperCAmelCase__ :      str				)    ->   str:
							lowercase_      :    Union[str, Any]       		= []
							lowercase_      :    List[Any]       		= 0
							lowercase_      :    str       		= key.upper()

							for symbol in message:
														lowercase_      :    Tuple       		= LETTERS.find(symbol.upper()				)
														if num != -1:
																					if mode == "encrypt":
																												num += LETTERS.find(key[key_index]				)
																					elif mode == "decrypt":
																												num -= LETTERS.find(key[key_index]				)

																					num %= len(UpperCAmelCase__				)

																					if symbol.isupper():
																												translated.append(LETTERS[num]				)
																					elif symbol.islower():
																												translated.append(LETTERS[num].lower()				)

																					key_index += 1
																					if key_index == len(UpperCAmelCase__				):
																												lowercase_      :    Any       		= 0
														else:
																					translated.append(UpperCAmelCase__				)
							return "".join(UpperCAmelCase__				)


if __name__ == "__main__":
						main()





