



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 						lowercase		(					nn.Module):






	"""simple docstring"""


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




	def     _SCREAMING_SNAKE_CASE						(      self      :		List[str]		,    __UpperCAmelCase      :		List[Any]	)     ->					Tuple:
							return self.lineara(self.batchnorm(self.lineara(__UpperCAmelCase	)	)	)






class 						lowercase		(					unittest.TestCase):






	"""simple docstring"""


	def     _SCREAMING_SNAKE_CASE						(      self      :		List[Any]	)     ->					Union[str, Any]:
							UpperCAmelCase_=  ModelForTest()
							with TemporaryDirectory() as tmp_dir:
													offload_state_dict(__UpperCAmelCase		,    model.state_dict()	)
													UpperCAmelCase_=  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_=  os.path.join(__UpperCAmelCase		,    F"""{key}.dat"""	)
																			self.assertTrue(os.path.isfile(__UpperCAmelCase	)	)
																			# TODO: add tests on the fact weights are properly loaded




	def     _SCREAMING_SNAKE_CASE						(      self      :		Tuple	)     ->					Optional[int]:
							UpperCAmelCase_=  [torch.floataa, torch.floataa, torch.bfloataa]

							for dtype in dtypes:
													UpperCAmelCase_=  torch.randn(2		,    3		,    dtype=__UpperCAmelCase	)
													with TemporaryDirectory() as tmp_dir:
																			UpperCAmelCase_=  offload_weight(__UpperCAmelCase		,    """weight"""		,    __UpperCAmelCase		,    {}	)
																			UpperCAmelCase_=  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_=  load_offloaded_weight(__UpperCAmelCase		,    index["""weight"""]	)
																			self.assertTrue(torch.equal(__UpperCAmelCase		,    __UpperCAmelCase	)	)




	def     _SCREAMING_SNAKE_CASE						(      self      :		int	)     ->					str:
							UpperCAmelCase_=  ModelForTest()
							UpperCAmelCase_=  model.state_dict()
							UpperCAmelCase_=  {k: v for k, v in state_dict.items() if """linear2""" not in k}
							UpperCAmelCase_=  {k: v for k, v in state_dict.items() if """linear2""" in k}

							with TemporaryDirectory() as tmp_dir:
													offload_state_dict(__UpperCAmelCase		,    __UpperCAmelCase	)
													UpperCAmelCase_=  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_=  {k: v for k, v in state_dict.items() if """weight""" in k}
							UpperCAmelCase_=  {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_=  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_=  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     _SCREAMING_SNAKE_CASE						(      self      :		Any	)     ->					Tuple:
							UpperCAmelCase_=  {"""a.1""": 0, """a.10""": 1, """a.2""": 2}
							UpperCAmelCase_=  extract_submodules_state_dict(__UpperCAmelCase		,    ["""a.1""", """a.2"""]	)
							self.assertDictEqual(__UpperCAmelCase		,    {"""a.1""": 0, """a.2""": 2}	)

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












import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


A__      :     int       =					importlib.util.find_spec('s3fs') is not None

if _has_safs:
							from .safilesystem import SaFileSystem  # noqa: F401

A__      :     List[compression.BaseCompressedFileFileSystem]       =					[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
							if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
														warnings.warn(F"A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.")
							fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				if "://" in dataset_path:
								lowercase__  					=     dataset_path.split('''://'''							)[1]
				return dataset_path






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				if fs is not None and fs.protocol != "file":
								return True
				else:
								return False






def     a     (		lowerCamelCase_						,  lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     not is_remote_filesystem(lowerCamelCase_							)
				if is_local:
								# LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
								shutil.move(fs._strip_protocol(lowerCamelCase_							)						,  fs._strip_protocol(lowerCamelCase_							)							)
				else:
								fs.mv(lowerCamelCase_						,  lowerCamelCase_						,  recursive=lowerCamelCase_							)






def     a     (		):






				'''simple docstring'''
				if hasattr(fsspec.asyn						,  '''reset_lock'''							):
								# for future fsspec>2022.05.0
								fsspec.asyn.reset_lock()
				else:
								lowercase__  					=     None
								lowercase__  					=     None
								lowercase__  					=     threading.Lock()




