

"""simple docstring"""





import copy
import fnmatch
import json
import os
import pickle as pkl
import shutil
import sys
import tarfile
import tempfile
from collections import OrderedDict
from contextlib import contextmanager
from functools import partial
from hashlib import shaaaa
from io import BytesIO
from pathlib import Path
from urllib.parse import urlparse
from zipfile import ZipFile, is_zipfile

import cva
import numpy as np
import requests
import wget
from filelock import FileLock
from PIL import Image
from tqdm.auto import tqdm
from yaml import Loader, dump, load


try:
				import torch

				_SCREAMING_SNAKE_CASE				:     Any       				=       True
except ImportError:
				_SCREAMING_SNAKE_CASE				:     Union[str, Any]       				=       False


try:
				from torch.hub import _get_torch_home

				_SCREAMING_SNAKE_CASE				:     str       				=       _get_torch_home()
except ImportError:
				_SCREAMING_SNAKE_CASE				:     Optional[int]       				=       os.path.expanduser(
				    os.getenv("""TORCH_HOME""", os.path.join(os.getenv("""XDG_CACHE_HOME""", """~/.cache"""), """torch"""))
				)

_SCREAMING_SNAKE_CASE				:     Optional[int]       				=       os.path.join(torch_cache_home, """transformers""")

_SCREAMING_SNAKE_CASE				:     Any       				=       """https://cdn.huggingface.co"""
_SCREAMING_SNAKE_CASE				:     Tuple       				=       """https://s3.amazonaws.com/models.huggingface.co/bert"""
_SCREAMING_SNAKE_CASE				:     Optional[Any]       				=       """/""".join(str(Path(__file__).resolve()).split("""/""")[:-1])
_SCREAMING_SNAKE_CASE				:     List[str]       				=       os.path.join(PATH, """config.yaml""")
_SCREAMING_SNAKE_CASE				:     int       				=       os.path.join(PATH, """attributes.txt""")
_SCREAMING_SNAKE_CASE				:     List[str]       				=       os.path.join(PATH, """objects.txt""")
_SCREAMING_SNAKE_CASE				:     List[str]       				=       os.getenv("""PYTORCH_PRETRAINED_BERT_CACHE""", default_cache_path)
_SCREAMING_SNAKE_CASE				:     Tuple       				=       os.getenv("""PYTORCH_TRANSFORMERS_CACHE""", PYTORCH_PRETRAINED_BERT_CACHE)
_SCREAMING_SNAKE_CASE				:     str       				=       os.getenv("""TRANSFORMERS_CACHE""", PYTORCH_TRANSFORMERS_CACHE)
_SCREAMING_SNAKE_CASE				:     List[Any]       				=       """pytorch_model.bin"""
_SCREAMING_SNAKE_CASE				:     Optional[int]       				=       """config.yaml"""



def 				_lowerCAmelCase					(  UpperCAmelCase   :							Dict=OBJECTS					,							UpperCAmelCase   :							Dict=ATTRIBUTES ):


					'''simple docstring'''






					UpperCamelCase__						:			Tuple				     =[]
					with open(UpperCAmelCase ) as f:
										for object in f.readlines():
															vg_classes.append(object.split(''',''' )[0].lower().strip() )

					UpperCamelCase__						:			Optional[Any]				     =[]
					with open(UpperCAmelCase ) as f:
										for object in f.readlines():
															vg_attrs.append(object.split(''',''' )[0].lower().strip() )
					return vg_classes, vg_attrs



def 				_lowerCAmelCase					(  UpperCAmelCase   :							int ):


					'''simple docstring'''






					UpperCamelCase__						:			Union[str, Any]				     =OrderedDict()
					with open(UpperCAmelCase					,							'''rb''' ) as f:
										UpperCamelCase__						:			Optional[int]				     =pkl.load(UpperCAmelCase )['''model''']
					for k in copy.deepcopy(list(ckp.keys() ) ):
										UpperCamelCase__						:			List[str]				     =ckp.pop(UpperCAmelCase )
										if isinstance(UpperCAmelCase					,							np.ndarray ):
															UpperCamelCase__						:			Optional[Any]				     =torch.tensor(UpperCAmelCase )
										else:
															assert isinstance(UpperCAmelCase					,							torch.tensor ), type(UpperCAmelCase )
										UpperCamelCase__						:			Optional[int]				     =v
					return r

class 			__a      :

			"""simple docstring"""

			SCREAMING_SNAKE_CASE_     =  {}






			def __init__(							self   :    Tuple  ,     lowercase_   :    List[Any]  ,     lowercase_   :    Optional[Any] = "root"  ,     lowercase_   :    str=0  ):
								UpperCamelCase__						:			List[str]				     =name
								UpperCamelCase__						:			Optional[int]				     =level
								UpperCamelCase__						:			str				     ={}
								for k, v in dictionary.items():
													if v is None:
																		raise ValueError()
													UpperCamelCase__						:			Optional[Any]				     =copy.deepcopy(lowercase_  )
													UpperCamelCase__						:			int				     =copy.deepcopy(lowercase_  )
													if isinstance(lowercase_  ,     lowercase_  ):
																		UpperCamelCase__						:			Optional[int]				     =Config(lowercase_  ,     name=lowercase_  ,     level=level + 1  )
													UpperCamelCase__						:			List[Any]				     =v
													setattr(self  ,     lowercase_  ,     lowercase_  )

								UpperCamelCase__						:			Union[str, Any]				     =d






			def __repr__(							self   :    Union[str, Any]  ):
								return str(list((self._pointer.keys())  )  )






			def __setattr__(							self   :    Optional[Any]  ,     lowercase_   :    Optional[int]  ,     lowercase_   :    Optional[int]  ):
								UpperCamelCase__						:			List[Any]				     =val
								UpperCamelCase__						:			Optional[int]				     =val
								UpperCamelCase__						:			Union[str, Any]				     =key.split('''.'''  )
								UpperCamelCase__						:			Tuple				     =len(lowercase_  ) - 1
								UpperCamelCase__						:			str				     =self._pointer
								if len(lowercase_  ) > 1:
													for i, l in enumerate(lowercase_  ):
																		if hasattr(self  ,     lowercase_  ) and isinstance(getattr(self  ,     lowercase_  )  ,     lowercase_  ):
																							setattr(getattr(self  ,     lowercase_  )  ,     '''.'''.join(levels[i:]  )  ,     lowercase_  )
																		if l == last_level:
																							UpperCamelCase__						:			Union[str, Any]				     =val
																		else:
																							UpperCamelCase__						:			List[Any]				     =pointer[l]






			def       _lowerCAmelCase	(							self   :    int  ):
								return self._pointer






			def       _lowerCAmelCase	(							self   :    List[Any]  ,     lowercase_   :    List[Any]  ,     lowercase_   :    Any  ):






								with open(f'''{file_name}'''  ,     '''w'''  ) as stream:
													dump(lowercase_  ,     lowercase_  )






			def       _lowerCAmelCase	(							self   :    List[Any]  ,     lowercase_   :    List[Any]  ,     lowercase_   :    str  ):






								with open(f'''{file_name}'''  ,     '''w'''  ) as stream:
													json.dump(lowercase_  ,     lowercase_  )






			@staticmethod
			def       _lowerCAmelCase	(							lowercase_   :    Any  ):






								with open(lowercase_  ) as stream:
													UpperCamelCase__						:			Optional[int]				     =load(lowercase_  ,     Loader=lowercase_  )
								return data






			def __str__(							self   :    Any  ):
								UpperCamelCase__						:			List[str]				     ='''    '''
								if self._name != "root":
													UpperCamelCase__						:			Dict				     =f'''{t * (self._level-1)}{self._name}:\n'''
								else:
													UpperCamelCase__						:			List[Any]				     =''''''
								UpperCamelCase__						:			Any				     =self._level
								for i, (k, v) in enumerate(self._pointer.items()  ):
													if isinstance(lowercase_  ,     lowercase_  ):
																		r += f'''{t * (self._level)}{v}\n'''
																		self._level += 1
													else:
																		r += f'''{t * (self._level)}{k}: {v} ({type(lowercase_  ).__name__})\n'''
													UpperCamelCase__						:			Optional[int]				     =level
								return r[:-1]






			@classmethod
			def       _lowerCAmelCase	(							cls   :    Dict  ,     lowercase_   :    Dict  ,     **lowercase_   :    Optional[Any]  ):
								UpperCamelCase__						:			Optional[int]				     =cls.get_config_dict(lowercase_  ,     **lowercase_  )
								return cls(lowercase_  )






			@classmethod
			def       _lowerCAmelCase	(							cls   :    List[Any]  ,     lowercase_   :    Optional[int]  ,     **lowercase_   :    Any  ):
								UpperCamelCase__						:			Optional[Any]				     =kwargs.pop('''cache_dir'''  ,     lowercase_  )
								UpperCamelCase__						:			Any				     =kwargs.pop('''force_download'''  ,     lowercase_  )
								UpperCamelCase__						:			List[Any]				     =kwargs.pop('''resume_download'''  ,     lowercase_  )
								UpperCamelCase__						:			Union[str, Any]				     =kwargs.pop('''proxies'''  ,     lowercase_  )
								UpperCamelCase__						:			int				     =kwargs.pop('''local_files_only'''  ,     lowercase_  )

								if os.path.isdir(lowercase_  ):
													UpperCamelCase__						:			Any				     =os.path.join(lowercase_  ,     lowercase_  )
								elif os.path.isfile(lowercase_  ) or is_remote_url(lowercase_  ):
													UpperCamelCase__						:			List[str]				     =pretrained_model_name_or_path
								else:
													UpperCamelCase__						:			Optional[Any]				     =hf_bucket_url(lowercase_  ,     filename=lowercase_  ,     use_cdn=lowercase_  )

								try:
													# Load from URL or cache if already cached
													UpperCamelCase__						:			Optional[Any]				     =cached_path(
													    lowercase_  ,     cache_dir=lowercase_  ,     force_download=lowercase_  ,     proxies=lowercase_  ,     resume_download=lowercase_  ,     local_files_only=lowercase_  ,     )
													# Load config dict
													if resolved_config_file is None:
																		raise EnvironmentError

													UpperCamelCase__						:			Any				     =Config.load_yaml(lowercase_  )

								except EnvironmentError:
													UpperCamelCase__						:			List[str]				     ='''Can\'t load config for'''
													raise EnvironmentError(lowercase_  )

								if resolved_config_file == config_file:
													print('''loading configuration file from path'''  )
								else:
													print('''loading configuration file cache'''  )

								return Config.load_yaml(lowercase_  ), kwargs



def 				_lowerCAmelCase					(  UpperCAmelCase   :							Dict ):


					'''simple docstring'''






					UpperCamelCase__						:			str				     =torch.load('''dump.pt'''					,							map_location=in_tensor.device )
					UpperCamelCase__						:			Union[str, Any]				     =in_tensor.numpy()
					UpperCamelCase__						:			Union[str, Any]				     =out_tensor.numpy()[0]
					print(na.shape					,							na[0, 0, :5] )
					print(na.shape					,							na[0, 0, :5] )
					assert np.allclose(UpperCAmelCase					,							UpperCAmelCase					,							rtol=0.01					,							atol=0.1 ), (
					    F'''{sum([1 for x in np.isclose(UpperCAmelCase					,							UpperCAmelCase					,							rtol=0.01					,							atol=0.1 ).flatten() if x is False] )/len(na.flatten() )*100:.4f} %'''
					    " element-wise mismatch"
					)
					raise Exception('''tensors are all good''' )

					# Hugging face functions below



def 				_lowerCAmelCase					(  UpperCAmelCase   :							Tuple ):


					'''simple docstring'''






					UpperCamelCase__						:			List[Any]				     =urlparse(UpperCAmelCase )
					return parsed.scheme in ("http", "https")



def 				_lowerCAmelCase					(  UpperCAmelCase   :							List[str]					,							UpperCAmelCase   :							List[str]					,							UpperCAmelCase   :							Tuple=True ):


					'''simple docstring'''






					UpperCamelCase__						:			str				     =CLOUDFRONT_DISTRIB_PREFIX if use_cdn else S3_BUCKET_PREFIX
					UpperCamelCase__						:			Optional[int]				     ='''/''' not in model_id
					if legacy_format:
										return F'''{endpoint}/{model_id}-{filename}'''
					else:
										return F'''{endpoint}/{model_id}/{filename}'''



def 				_lowerCAmelCase					(  UpperCAmelCase   :							List[Any]					,							UpperCAmelCase   :							int					,							UpperCAmelCase   :							Union[str, Any]=None					,							UpperCAmelCase   :							List[Any]=0					,							UpperCAmelCase   :							List[Any]=None					,							):


					'''simple docstring'''






					UpperCamelCase__						:			int				     ='''python/{}'''.format(sys.version.split()[0] )
					if _torch_available:
										ua += "; torch/{}".format(torch.__version__ )
					if isinstance(UpperCAmelCase					,							UpperCAmelCase ):
										ua += "; " + "; ".join('''{}/{}'''.format(UpperCAmelCase					,							UpperCAmelCase ) for k, v in user_agent.items() )
					elif isinstance(UpperCAmelCase					,							UpperCAmelCase ):
										ua += "; " + user_agent
					UpperCamelCase__						:			Union[str, Any]				     ={'''user-agent''': ua}
					if resume_size > 0:
										UpperCamelCase__						:			int				     ='''bytes=%d-''' % (resume_size,)
					UpperCamelCase__						:			str				     =requests.get(UpperCAmelCase					,							stream=UpperCAmelCase					,							proxies=UpperCAmelCase					,							headers=UpperCAmelCase )
					if response.status_code == 416:  # Range not satisfiable
										return
					UpperCamelCase__						:			int				     =response.headers.get('''Content-Length''' )
					UpperCamelCase__						:			Tuple				     =resume_size + int(UpperCAmelCase ) if content_length is not None else None
					UpperCamelCase__						:			List[Any]				     =tqdm(
					    unit='''B'''					,							unit_scale=UpperCAmelCase					,							total=UpperCAmelCase					,							initial=UpperCAmelCase					,							desc='''Downloading'''					,							)
					for chunk in response.iter_content(chunk_size=1_024 ):
										if chunk:  # filter out keep-alive new chunks
															progress.update(len(UpperCAmelCase ) )
															temp_file.write(UpperCAmelCase )
					progress.close()



def 				_lowerCAmelCase					(  UpperCAmelCase   :							Optional[Any]					,							UpperCAmelCase   :							Optional[int]=None					,							UpperCAmelCase   :							Optional[Any]=False					,							UpperCAmelCase   :							List[str]=None					,							UpperCAmelCase   :							str=10					,							UpperCAmelCase   :							List[Any]=False					,							UpperCAmelCase   :							Optional[Any]=None					,							UpperCAmelCase   :							Union[str, Any]=False					,							):


					'''simple docstring'''






					if cache_dir is None:
										UpperCamelCase__						:			str				     =TRANSFORMERS_CACHE
					if isinstance(UpperCAmelCase					,							UpperCAmelCase ):
										UpperCamelCase__						:			Union[str, Any]				     =str(UpperCAmelCase )

					os.makedirs(UpperCAmelCase					,							exist_ok=UpperCAmelCase )

					UpperCamelCase__						:			Optional[int]				     =None
					if not local_files_only:
										try:
															UpperCamelCase__						:			Optional[Any]				     =requests.head(UpperCAmelCase					,							allow_redirects=UpperCAmelCase					,							proxies=UpperCAmelCase					,							timeout=UpperCAmelCase )
															if response.status_code == 200:
																				UpperCamelCase__						:			Tuple				     =response.headers.get('''ETag''' )
										except (EnvironmentError, requests.exceptions.Timeout):
															# etag is already None
															pass

					UpperCamelCase__						:			int				     =url_to_filename(UpperCAmelCase					,							UpperCAmelCase )

					# get cache path to put the file
					UpperCamelCase__						:			Optional[Any]				     =os.path.join(UpperCAmelCase					,							UpperCAmelCase )

					# etag is None = we don't have a connection, or url doesn't exist, or is otherwise inaccessible.
					# try to get the last downloaded one
					if etag is None:
										if os.path.exists(UpperCAmelCase ):
															return cache_path
										else:
															UpperCamelCase__						:			List[Any]				     =[
															    file
															    for file in fnmatch.filter(os.listdir(UpperCAmelCase )					,							filename + '''.*''' )
															    if not file.endswith('''.json''' ) and not file.endswith('''.lock''' )
															]
															if len(UpperCAmelCase ) > 0:
																				return os.path.join(UpperCAmelCase					,							matching_files[-1] )
															else:
																				# If files cannot be found and local_files_only=True,
																				# the models might've been found if local_files_only=False
																				# Notify the user about that
																				if local_files_only:
																									raise ValueError(
																									    '''Cannot find the requested files in the cached path and outgoing traffic has been'''
																									    ''' disabled. To enable model look-ups and downloads online, set \'local_files_only\''''
																									    ''' to False.''' )
																				return None

    # From now on, etag is not None.
					if os.path.exists(UpperCAmelCase ) and not force_download:
										return cache_path

					# Prevent parallel downloads of the same file with a lock.
					UpperCamelCase__						:			List[str]				     =cache_path + '''.lock'''
					with FileLock(UpperCAmelCase ):
										# If the download just completed while the lock was activated.
										if os.path.exists(UpperCAmelCase ) and not force_download:
															# Even if returning early like here, the lock will be released.
															return cache_path

										if resume_download:
															UpperCamelCase__						:			List[str]				     =cache_path + '''.incomplete'''

															@contextmanager
															def _resumable_file_manager():
																				with open(UpperCAmelCase					,							'''a+b''' ) as f:
																									yield f

															UpperCamelCase__						:			Any				     =_resumable_file_manager
															if os.path.exists(UpperCAmelCase ):
																				UpperCamelCase__						:			str				     =os.stat(UpperCAmelCase ).st_size
															else:
																				UpperCamelCase__						:			Tuple				     =0
										else:
															UpperCamelCase__						:			Optional[int]				     =partial(tempfile.NamedTemporaryFile					,							dir=UpperCAmelCase					,							delete=UpperCAmelCase )
															UpperCamelCase__						:			str				     =0

										# Download to temporary file, then copy to cache dir once finished.
										# Otherwise you get corrupt cache entries if the download gets interrupted.
										with temp_file_manager() as temp_file:
															print(
															    '''%s not found in cache or force_download set to True, downloading to %s'''					,							UpperCAmelCase					,							temp_file.name					,							)

															http_get(
															    UpperCAmelCase					,							UpperCAmelCase					,							proxies=UpperCAmelCase					,							resume_size=UpperCAmelCase					,							user_agent=UpperCAmelCase					,							)

										os.replace(temp_file.name					,							UpperCAmelCase )

										UpperCamelCase__						:			List[Any]				     ={'''url''': url, '''etag''': etag}
										UpperCamelCase__						:			Optional[int]				     =cache_path + '''.json'''
										with open(UpperCAmelCase					,							'''w''' ) as meta_file:
															json.dump(UpperCAmelCase					,							UpperCAmelCase )

					return cache_path



def 				_lowerCAmelCase					(  UpperCAmelCase   :							List[Any]					,							UpperCAmelCase   :							List[str]=None ):


					'''simple docstring'''






					UpperCamelCase__						:			Optional[Any]				     =url.encode('''utf-8''' )
					UpperCamelCase__						:			Dict				     =shaaaa(UpperCAmelCase )
					UpperCamelCase__						:			str				     =url_hash.hexdigest()

					if etag:
										UpperCamelCase__						:			str				     =etag.encode('''utf-8''' )
										UpperCamelCase__						:			Dict				     =shaaaa(UpperCAmelCase )
										filename += "." + etag_hash.hexdigest()

					if url.endswith('''.h5''' ):
										filename += ".h5"

					return filename



def 				_lowerCAmelCase					(  UpperCAmelCase   :							Union[str, Any]					,							UpperCAmelCase   :							int=None					,							UpperCAmelCase   :							List[str]=False					,							UpperCAmelCase   :							Union[str, Any]=None					,							UpperCAmelCase   :							Dict=False					,							UpperCAmelCase   :							Optional[int]=None					,							UpperCAmelCase   :							int=False					,							UpperCAmelCase   :							Optional[Any]=False					,							UpperCAmelCase   :							Dict=False					,							):


					'''simple docstring'''






					if cache_dir is None:
										UpperCamelCase__						:			Optional[Any]				     =TRANSFORMERS_CACHE
					if isinstance(UpperCAmelCase					,							UpperCAmelCase ):
										UpperCamelCase__						:			Tuple				     =str(UpperCAmelCase )
					if isinstance(UpperCAmelCase					,							UpperCAmelCase ):
										UpperCamelCase__						:			str				     =str(UpperCAmelCase )

					if is_remote_url(UpperCAmelCase ):
										# URL, so get it from the cache (downloading if necessary)
										UpperCamelCase__						:			Optional[int]				     =get_from_cache(
										    UpperCAmelCase					,							cache_dir=UpperCAmelCase					,							force_download=UpperCAmelCase					,							proxies=UpperCAmelCase					,							resume_download=UpperCAmelCase					,							user_agent=UpperCAmelCase					,							local_files_only=UpperCAmelCase					,							)
					elif os.path.exists(UpperCAmelCase ):
										# File, and it exists.
										UpperCamelCase__						:			Any				     =url_or_filename
					elif urlparse(UpperCAmelCase ).scheme == "":
										# File, but it doesn't exist.
										raise EnvironmentError('''file {} not found'''.format(UpperCAmelCase ) )
					else:
										# Something unknown
										raise ValueError('''unable to parse {} as a URL or as a local path'''.format(UpperCAmelCase ) )

					if extract_compressed_file:
										if not is_zipfile(UpperCAmelCase ) and not tarfile.is_tarfile(UpperCAmelCase ):
															return output_path

										# Path where we extract compressed archives
										# We avoid '.' in dir name and add "-extracted" at the end: "./model.zip" => "./model-zip-extracted/"
										UpperCamelCase__						:			Union[str, Any]				     =os.path.split(UpperCAmelCase )
										UpperCamelCase__						:			List[str]				     =output_file.replace('''.'''					,							'''-''' ) + '''-extracted'''
										UpperCamelCase__						:			int				     =os.path.join(UpperCAmelCase					,							UpperCAmelCase )

										if os.path.isdir(UpperCAmelCase ) and os.listdir(UpperCAmelCase ) and not force_extract:
															return output_path_extracted

										# Prevent parallel extractions
										UpperCamelCase__						:			str				     =output_path + '''.lock'''
										with FileLock(UpperCAmelCase ):
															shutil.rmtree(UpperCAmelCase					,							ignore_errors=UpperCAmelCase )
															os.makedirs(UpperCAmelCase )
															if is_zipfile(UpperCAmelCase ):
																				with ZipFile(UpperCAmelCase					,							'''r''' ) as zip_file:
																									zip_file.extractall(UpperCAmelCase )
																									zip_file.close()
															elif tarfile.is_tarfile(UpperCAmelCase ):
																				UpperCamelCase__						:			List[str]				     =tarfile.open(UpperCAmelCase )
																				tar_file.extractall(UpperCAmelCase )
																				tar_file.close()
															else:
																				raise EnvironmentError('''Archive format of {} could not be identified'''.format(UpperCAmelCase ) )

										return output_path_extracted

					return output_path



def 				_lowerCAmelCase					(  UpperCAmelCase   :							int					,							UpperCAmelCase   :							List[str]="," ):


					'''simple docstring'''






					assert isinstance(UpperCAmelCase					,							UpperCAmelCase )
					if os.path.isfile(UpperCAmelCase ):
										with open(UpperCAmelCase ) as f:
															UpperCamelCase__						:			Optional[Any]				     =eval(f.read() )
					else:
										UpperCamelCase__						:			str				     =requests.get(UpperCAmelCase )
										try:
															UpperCamelCase__						:			List[Any]				     =requests.json()
										except Exception:
															UpperCamelCase__						:			Tuple				     =req.content.decode()
															assert data is not None, "could not connect"
															try:
																				UpperCamelCase__						:			int				     =eval(UpperCAmelCase )
															except Exception:
																				UpperCamelCase__						:			Optional[Any]				     =data.split('''\n''' )
										req.close()
					return data



def 				_lowerCAmelCase					(  UpperCAmelCase   :							int ):


					'''simple docstring'''






					UpperCamelCase__						:			Tuple				     =requests.get(UpperCAmelCase )
					UpperCamelCase__						:			Union[str, Any]				     =np.array(Image.open(BytesIO(response.content ) ) )
					return img



def 				_lowerCAmelCase					(  UpperCAmelCase   :							List[str] ):


					'''simple docstring'''






					UpperCamelCase__						:			str				     =url.split('''/''' )[-1]
					if fn not in os.listdir(os.getcwd() ):
										wget.download(UpperCAmelCase )
					with open(UpperCAmelCase					,							'''rb''' ) as stream:
										UpperCamelCase__						:			Optional[int]				     =pkl.load(UpperCAmelCase )
					UpperCamelCase__						:			List[str]				     =weights.pop('''model''' )
					UpperCamelCase__						:			Tuple				     ={}
					for k, v in model.items():
										UpperCamelCase__						:			Dict				     =torch.from_numpy(UpperCAmelCase )
										if "running_var" in k:
															UpperCamelCase__						:			int				     =torch.tensor([0] )
															UpperCamelCase__						:			List[str]				     =k.replace('''running_var'''					,							'''num_batches_tracked''' )
															UpperCamelCase__						:			Dict				     =zero
					return new



def 				_lowerCAmelCase					(  ):


					'''simple docstring'''






					print(F'''{os.path.abspath(os.path.join(UpperCAmelCase					,							os.pardir ) )}/demo.ipynb''' )



def 				_lowerCAmelCase					(  UpperCAmelCase   :							int					,							UpperCAmelCase   :							List[Any]="RGB" ):


					'''simple docstring'''






					assert isinstance(UpperCAmelCase					,							UpperCAmelCase )
					if os.path.isfile(UpperCAmelCase ):
										UpperCamelCase__						:			Tuple				     =cva.imread(UpperCAmelCase )
					else:
										UpperCamelCase__						:			Union[str, Any]				     =get_image_from_url(UpperCAmelCase )
										assert img is not None, F'''could not connect to: {im}'''
					UpperCamelCase__						:			Optional[int]				     =cva.cvtColor(UpperCAmelCase					,							cva.COLOR_BGR2RGB )
					if input_format == "RGB":
										UpperCamelCase__						:			Optional[int]				     =img[:, :, ::-1]
					return img







def 				_lowerCAmelCase					(  UpperCAmelCase   :							str					,							UpperCAmelCase   :							List[Any]=1 ):


					'''simple docstring'''






					return (images[i : i + batch] for i in range(0					,							len(UpperCAmelCase )					,							UpperCAmelCase ))








import random
import sys

from . import cryptomath_module as cryptomath

lowercase_		=							(
    r''' !"#$%&\'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`'''
    r'''abcdefghijklmnopqrstuvwxyz{|}~'''
)







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase,	UpperCAmelCase       )  ->None:






					"""simple docstring"""






					if mode == "encrypt":
										if key_a == 1:
															sys.exit(
															    '''The affine cipher becomes weak when key '''
															    '''A is set to 1. Choose different key'''       )
										if key_b == 0:
															sys.exit(
															    '''The affine cipher becomes weak when key '''
															    '''B is set to 0. Choose different key'''       )
					if key_a < 0 or key_b < 0 or key_b > len(UpperCAmelCase       ) - 1:
										sys.exit(
										    '''Key A must be greater than 0 and key B must '''
										    F'''be between 0 and {len(UpperCAmelCase       ) - 1}.'''       )
					if cryptomath.gcd(UpperCAmelCase,	len(UpperCAmelCase       )       ) != 1:
										sys.exit(
										    F'''Key A {key_a} and the symbol set size {len(UpperCAmelCase       )} '''
										    '''are not relatively prime. Choose a different key.'''       )







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase       )  ->str:






					"""simple docstring"""






					__magic_name__   , __magic_name__					:							str		   =							divmod(UpperCAmelCase,	len(UpperCAmelCase       )       )
					check_keys(UpperCAmelCase,	UpperCAmelCase,	'''encrypt'''       )
					__magic_name__					:							Dict		   =							''''''
					for symbol in message:
										if symbol in SYMBOLS:
															__magic_name__					:							Union[str, Any]		   =							SYMBOLS.find(UpperCAmelCase       )
															cipher_text += SYMBOLS[(sym_index * key_a + key_b) % len(UpperCAmelCase       )]
										else:
															cipher_text += symbol
					return cipher_text







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase       )  ->str:






					"""simple docstring"""






					__magic_name__   , __magic_name__					:							List[str]		   =							divmod(UpperCAmelCase,	len(UpperCAmelCase       )       )
					check_keys(UpperCAmelCase,	UpperCAmelCase,	'''decrypt'''       )
					__magic_name__					:							Union[str, Any]		   =							''''''
					__magic_name__					:							int		   =							cryptomath.find_mod_inverse(UpperCAmelCase,	len(UpperCAmelCase       )       )
					for symbol in message:
										if symbol in SYMBOLS:
															__magic_name__					:							Optional[Any]		   =							SYMBOLS.find(UpperCAmelCase       )
															plain_text += SYMBOLS[
															    (sym_index - key_b) * mod_inverse_of_key_a % len(UpperCAmelCase       )
															]
										else:
															plain_text += symbol
					return plain_text







def  lowerCAmelCase  (	)  ->int:






					"""simple docstring"""






					while True:
										__magic_name__					:							List[Any]		   =							random.randint(2,	len(UpperCAmelCase       )       )
										__magic_name__					:							int		   =							random.randint(2,	len(UpperCAmelCase       )       )
										if cryptomath.gcd(UpperCAmelCase,	len(UpperCAmelCase       )       ) == 1 and key_b % len(UpperCAmelCase       ) != 0:
															return key_b * len(UpperCAmelCase       ) + key_b







def  lowerCAmelCase  (	)  ->None:






					"""simple docstring"""






					__magic_name__					:							List[Any]		   =							input('''Enter message: '''       ).strip()
					__magic_name__					:							Optional[int]		   =							int(input('''Enter key [2000 - 9000]: '''       ).strip()       )
					__magic_name__					:							List[Any]		   =							input('''Encrypt/Decrypt [E/D]: '''       ).strip().lower()

					if mode.startswith('''e'''       ):
										__magic_name__					:							Any		   =							'''encrypt'''
										__magic_name__					:							Any		   =							encrypt_message(UpperCAmelCase,	UpperCAmelCase       )
					elif mode.startswith('''d'''       ):
										__magic_name__					:							Optional[Any]		   =							'''decrypt'''
										__magic_name__					:							Union[str, Any]		   =							decrypt_message(UpperCAmelCase,	UpperCAmelCase       )
					print(F'''\n{mode.title()}ed text: \n{translated}'''       )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				# main()



