


'''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

				_lowerCAmelCase  :		Dict		     =	True
except ImportError:
				_lowerCAmelCase  :		Tuple		     =	False


try:
				from torch.hub import _get_torch_home

				_lowerCAmelCase  :		int		     =	_get_torch_home()
except ImportError:
				_lowerCAmelCase  :		int		     =	os.path.expanduser(
				    os.getenv('TORCH_HOME', os.path.join(os.getenv('XDG_CACHE_HOME', '~/.cache'), 'torch'))
				)

_lowerCAmelCase  :		List[str]		     =	os.path.join(torch_cache_home, 'transformers')

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

def 			__UpperCamelCase    (    _A    :				Optional[Any]=OBJECTS					,   _A    :				List[Any]=ATTRIBUTES				)    ->      Dict:




	"""simple docstring"""





	lowerCAmelCase					:    Dict      							= []
	with open(_A				) as f:
		for object in f.readlines():
			vg_classes.append(object.split(','				)[0].lower().strip()				)

	lowerCAmelCase					:    str      							= []
	with open(_A				) as f:
		for object in f.readlines():
			vg_attrs.append(object.split(','				)[0].lower().strip()				)
	return vg_classes, vg_attrs

def 			__UpperCamelCase    (    _A    :				Tuple				)    ->      str:




	"""simple docstring"""





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



class  lowerCAmelCase				:
	_lowerCamelCase   :					Optional[Any]			      = {}



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

		lowerCAmelCase					:    str      							= d



	def __repr__(					self    ):
		return str(list((self._pointer.keys())    )    )



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



	def 				lowercase     (					self    ):
		return self._pointer



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__    ):
		with open(f"{file_name}" ,					'w'    ) as stream:
			dump(snake_case__ ,					snake_case__    )



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__    ):
		with open(f"{file_name}" ,					'w'    ) as stream:
			json.dump(snake_case__ ,					snake_case__    )



	@staticmethod
	def 				lowercase     (					snake_case__    ):
		with open(snake_case__    ) as stream:
			lowerCAmelCase					:    Optional[int]      							= load(snake_case__ ,					Loader=snake_case__    )
		return data



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



	@classmethod
	def 				lowercase     (					cls ,					snake_case__ ,					**snake_case__    ):
		lowerCAmelCase							,   lowerCAmelCase					:    Union[str, Any]      							= cls.get_config_dict(snake_case__ ,					**snake_case__    )
		return cls(snake_case__    )



	@classmethod
	def 				lowercase     (					cls ,					snake_case__ ,					**snake_case__    ):
		lowerCAmelCase					:    List[str]      							= kwargs.pop('cache_dir' ,					snake_case__    )
		lowerCAmelCase					:    Optional[Any]      							= kwargs.pop('force_download' ,					snake_case__    )
		lowerCAmelCase					:    Any      							= kwargs.pop('resume_download' ,					snake_case__    )
		lowerCAmelCase					:    List[str]      							= kwargs.pop('proxies' ,					snake_case__    )
		lowerCAmelCase					:    Optional[Any]      							= kwargs.pop('local_files_only' ,					snake_case__    )

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

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

			lowerCAmelCase					:    str      							= Config.load_yaml(snake_case__    )

		except EnvironmentError:
			lowerCAmelCase					:    Tuple      							= 'Can\'t load config for'
			raise EnvironmentError(snake_case__    )

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

		return Config.load_yaml(snake_case__    ), kwargs


def 			__UpperCamelCase    (    _A    :				Any				)    ->      Optional[Any]:




	"""simple docstring"""





	lowerCAmelCase					:    Dict      							= torch.load('dump.pt'					,   map_location=in_tensor.device				)
	lowerCAmelCase					:    Optional[int]      							= in_tensor.numpy()
	lowerCAmelCase					:    Optional[int]      							= out_tensor.numpy()[0]
	print(na.shape					,   na[0, 0, :5]				)
	print(na.shape					,   na[0, 0, :5]				)
	assert np.allclose(_A					,   _A					,   rtol=0.01					,   atol=0.1				), (
	    F"{sum([1 for x in np.isclose(_A					,   _A					,   rtol=0.01					,   atol=0.1				).flatten() if x is False]				)/len(na.flatten()				)*1_00:.4f} %"
	    " element-wise mismatch"
	)
	raise Exception('tensors are all good'				)

	# Hugging face functions below

def 			__UpperCamelCase    (    _A    :				Optional[Any]				)    ->      int:




	"""simple docstring"""





	lowerCAmelCase					:    Tuple      							= urlparse(_A				)
	return parsed.scheme in ("http", "https")

def 			__UpperCamelCase    (    _A    :				str					,   _A    :				str					,   _A    :				Any=True				)    ->      str:




	"""simple docstring"""





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

def 			__UpperCamelCase    (    _A    :				Union[str, Any]					,   _A    :				Any					,   _A    :				Dict=None					,   _A    :				List[Any]=0					,   _A    :				Optional[int]=None					,   )    ->      Any:




	"""simple docstring"""





	lowerCAmelCase					:    Any      							= 'python/{}'.format(sys.version.split()[0]				)
	if _torch_available:
		ua += "; torch/{}".format(torch.__version__				)
	if isinstance(_A					,   _A				):
		ua += "; " + "; ".join('{}/{}'.format(_A					,   _A				) for k, v in user_agent.items()				)
	elif isinstance(_A					,   _A				):
		ua += "; " + user_agent
	lowerCAmelCase					:    Optional[Any]      							= {'user-agent': ua}
	if resume_size > 0:
		lowerCAmelCase					:    List[Any]      							= 'bytes=%d-' % (resume_size,)
	lowerCAmelCase					:    str      							= requests.get(_A					,   stream=_A					,   proxies=_A					,   headers=_A				)
	if response.status_code == 4_16:  # Range not satisfiable
		return
	lowerCAmelCase					:    Optional[int]      							= response.headers.get('Content-Length'				)
	lowerCAmelCase					:    Union[str, Any]      							= resume_size + int(_A				) if content_length is not None else None
	lowerCAmelCase					:    List[str]      							= tqdm(
	    unit='B'					,   unit_scale=_A					,   total=_A					,   initial=_A					,   desc='Downloading'					,   )
	for chunk in response.iter_content(chunk_size=10_24				):
		if chunk:  # filter out keep-alive new chunks
			progress.update(len(_A				)				)
			temp_file.write(_A				)
	progress.close()

def 			__UpperCamelCase    (    _A    :				Tuple					,   _A    :				List[str]=None					,   _A    :				Dict=False					,   _A    :				Any=None					,   _A    :				Dict=10					,   _A    :				str=False					,   _A    :				Dict=None					,   _A    :				Any=False					,   )    ->      int:




	"""simple docstring"""





	if cache_dir is None:
		lowerCAmelCase					:    List[Any]      							= TRANSFORMERS_CACHE
	if isinstance(_A					,   _A				):
		lowerCAmelCase					:    Tuple      							= str(_A				)

	os.makedirs(_A					,   exist_ok=_A				)

	lowerCAmelCase					:    List[str]      							= None
	if not local_files_only:
		try:
			lowerCAmelCase					:    List[str]      							= requests.head(_A					,   allow_redirects=_A					,   proxies=_A					,   timeout=_A				)
			if response.status_code == 2_00:
				lowerCAmelCase					:    int      							= response.headers.get('ETag'				)
		except (EnvironmentError, requests.exceptions.Timeout):
			# etag is already None
			pass

	lowerCAmelCase					:    str      							= url_to_filename(_A					,   _A				)

	# get cache path to put the file
	lowerCAmelCase					:    str      							= os.path.join(_A					,   _A				)

	# 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(_A				):
			return cache_path
		else:
			lowerCAmelCase					:    Tuple      							= [
			    file
			    for file in fnmatch.filter(os.listdir(_A				)					,   filename + '.*'				)
			    if not file.endswith('.json'				) and not file.endswith('.lock'				)
			]
			if len(_A				) > 0:
				return os.path.join(_A					,   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(_A				) and not force_download:
		return cache_path

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

		if resume_download:
			lowerCAmelCase					:    int      							= cache_path + '.incomplete'

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

			lowerCAmelCase					:    Union[str, Any]      							= _resumable_file_manager
			if os.path.exists(_A				):
				lowerCAmelCase					:    Dict      							= os.stat(_A				).st_size
			else:
				lowerCAmelCase					:    List[str]      							= 0
		else:
			lowerCAmelCase					:    Any      							= partial(tempfile.NamedTemporaryFile					,   dir=_A					,   delete=_A				)
			lowerCAmelCase					:    List[Any]      							= 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'					,   _A					,   temp_file.name					,   )

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

		os.replace(temp_file.name					,   _A				)

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

	return cache_path

def 			__UpperCamelCase    (    _A    :				str					,   _A    :				Optional[Any]=None				)    ->      int:




	"""simple docstring"""





	lowerCAmelCase					:    str      							= url.encode('utf-8'				)
	lowerCAmelCase					:    List[Any]      							= shaaaa(_A				)
	lowerCAmelCase					:    List[Any]      							= url_hash.hexdigest()

	if etag:
		lowerCAmelCase					:    Optional[Any]      							= etag.encode('utf-8'				)
		lowerCAmelCase					:    Optional[int]      							= shaaaa(_A				)
		filename += "." + etag_hash.hexdigest()

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

	return filename

def 			__UpperCamelCase    (    _A    :				str					,   _A    :				Dict=None					,   _A    :				Any=False					,   _A    :				List[Any]=None					,   _A    :				int=False					,   _A    :				Optional[int]=None					,   _A    :				str=False					,   _A    :				Optional[Any]=False					,   _A    :				int=False					,   )    ->      str:




	"""simple docstring"""





	if cache_dir is None:
		lowerCAmelCase					:    int      							= TRANSFORMERS_CACHE
	if isinstance(_A					,   _A				):
		lowerCAmelCase					:    List[Any]      							= str(_A				)
	if isinstance(_A					,   _A				):
		lowerCAmelCase					:    Dict      							= str(_A				)

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

	if extract_compressed_file:
		if not is_zipfile(_A				) and not tarfile.is_tarfile(_A				):
			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/"
		lowerCAmelCase							,   lowerCAmelCase					:    str      							= os.path.split(_A				)
		lowerCAmelCase					:    Tuple      							= output_file.replace('.'					,   '-'				) + '-extracted'
		lowerCAmelCase					:    Optional[int]      							= os.path.join(_A					,   _A				)

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

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

		return output_path_extracted

	return output_path

def 			__UpperCamelCase    (    _A    :				List[str]					,   _A    :				int=","				)    ->      Union[str, Any]:




	"""simple docstring"""





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

def 			__UpperCamelCase    (    _A    :				Optional[Any]				)    ->      Optional[int]:




	"""simple docstring"""





	lowerCAmelCase					:    Tuple      							= requests.get(_A				)
	lowerCAmelCase					:    Tuple      							= np.array(Image.open(BytesIO(response.content				)				)				)
	return img

def 			__UpperCamelCase    (    _A    :				List[str]				)    ->      Optional[Any]:




	"""simple docstring"""





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

def 			__UpperCamelCase    (    )    ->      List[Any]:




	"""simple docstring"""





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

def 			__UpperCamelCase    (    _A    :				Any					,   _A    :				int="RGB"				)    ->      List[str]:




	"""simple docstring"""





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






def 			__UpperCamelCase    (    _A    :				Tuple					,   _A    :				int=1				)    ->      Any:




	"""simple docstring"""





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




'''simple docstring'''




from typing import Any



class  lowerCAmelCase				:



	def __init__(					self ,					snake_case__    ):
		lowerCAmelCase					:    Optional[int]      							= data
		lowerCAmelCase					:    Optional[Any]      							= None



	def __repr__(					self    ):
		return f"Node({self.data})"



class  lowerCAmelCase				:



	def __init__(					self    ):
		lowerCAmelCase					:    Dict      							= None



	def __iter__(					self    ):
		lowerCAmelCase					:    Optional[Any]      							= self.head
		while node:
			yield node.data
			lowerCAmelCase					:    Optional[int]      							= node.next



	def __len__(					self    ):
		return sum(1 for _ in self    )



	def __repr__(					self    ):
		return "->".join([str(snake_case__    ) for item in self]    )



	def __getitem__(					self ,					snake_case__    ):
		if not 0 <= index < len(self    ):
			raise ValueError('list index out of range.'    )
		for i, node in enumerate(self    ):
			if i == index:
				return node
		return None



	def __setitem__(					self ,					snake_case__ ,					snake_case__    ):
		if not 0 <= index < len(self    ):
			raise ValueError('list index out of range.'    )
		lowerCAmelCase					:    Any      							= self.head
		for _ in range(snake_case__    ):
			lowerCAmelCase					:    List[str]      							= current.next
		lowerCAmelCase					:    int      							= data



	def 				lowercase     (					self ,					snake_case__    ):
		self.insert_nth(len(self    ) ,					snake_case__    )



	def 				lowercase     (					self ,					snake_case__    ):
		self.insert_nth(0 ,					snake_case__    )



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__    ):
		if not 0 <= index <= len(self    ):
			raise IndexError('list index out of range'    )
		lowerCAmelCase					:    List[str]      							= Node(snake_case__    )
		if self.head is None:
			lowerCAmelCase					:    int      							= new_node
		elif index == 0:
			lowerCAmelCase					:    List[Any]      							= self.head  # link new_node to head
			lowerCAmelCase					:    List[Any]      							= new_node
		else:
			lowerCAmelCase					:    List[Any]      							= self.head
			for _ in range(index - 1    ):
				lowerCAmelCase					:    Union[str, Any]      							= temp.next
			lowerCAmelCase					:    Any      							= temp.next
			lowerCAmelCase					:    str      							= new_node



	def 				lowercase     (					self    ):  # print every node data
		print(self    )



	def 				lowercase     (					self    ):
		return self.delete_nth(0    )



	def 				lowercase     (					self    ):  # delete from tail
		return self.delete_nth(len(self    ) - 1    )



	def 				lowercase     (					self ,					snake_case__ = 0    ):
		if not 0 <= index <= len(self    ) - 1:  # test if index is valid
			raise IndexError('List index out of range.'    )
		lowerCAmelCase					:    List[str]      							= self.head  # default first node
		if index == 0:
			lowerCAmelCase					:    Tuple      							= self.head.next
		else:
			lowerCAmelCase					:    Dict      							= self.head
			for _ in range(index - 1    ):
				lowerCAmelCase					:    Tuple      							= temp.next
			lowerCAmelCase					:    Dict      							= temp.next
			lowerCAmelCase					:    Tuple      							= temp.next.next
		return delete_node.data



	def 				lowercase     (					self    ):
		return self.head is None



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    List[Any]      							= None
		lowerCAmelCase					:    Any      							= self.head

		while current:
			# Store the current node's next node.
			lowerCAmelCase					:    List[str]      							= current.next
			# Make the current node's next point backwards
			lowerCAmelCase					:    int      							= prev
			# Make the previous node be the current node
			lowerCAmelCase					:    int      							= current
			# Make the current node the next node (to progress iteration)
			lowerCAmelCase					:    Optional[Any]      							= next_node
		# Return prev in order to put the head at the end
		lowerCAmelCase					:    List[Any]      							= prev


def 			__UpperCamelCase    (    )    ->      None:




	"""simple docstring"""





	lowerCAmelCase					:    Tuple      							= LinkedList()
	assert linked_list.is_empty() is True
	assert str(_A				) == ""

	try:
		linked_list.delete_head()
		raise AssertionError  # This should not happen.
	except IndexError:
		assert True  # This should happen.

	try:
		linked_list.delete_tail()
		raise AssertionError  # This should not happen.
	except IndexError:
		assert True  # This should happen.

	for i in range(10				):
		assert len(_A				) == i
		linked_list.insert_nth(_A					,   i + 1				)
	assert str(_A				) == "->".join(str(_A				) for i in range(1					,   11				)				)

	linked_list.insert_head(0				)
	linked_list.insert_tail(11				)
	assert str(_A				) == "->".join(str(_A				) for i in range(0					,   12				)				)

	assert linked_list.delete_head() == 0
	assert linked_list.delete_nth(9				) == 10
	assert linked_list.delete_tail() == 11
	assert len(_A				) == 9
	assert str(_A				) == "->".join(str(_A				) for i in range(1					,   10				)				)

	assert all(linked_list[i] == i + 1 for i in range(0					,   9				)				) is True

	for i in range(0					,   9				):
		lowerCAmelCase					:    Optional[Any]      							= -i
	assert all(linked_list[i] == -i for i in range(0					,   9				)				) is True

	linked_list.reverse()
	assert str(_A				) == "->".join(str(_A				) for i in range(-8					,   1				)				)

def 			__UpperCamelCase    (    )    ->      None:




	"""simple docstring"""





	lowerCAmelCase					:    Optional[int]      							= [
	    -9,
	    1_00,
	    Node(77_34_51_12				),
	    'dlrow olleH',
	    7,
	    55_55,
	    0,
	    -1_92.5_55_55,
	    'Hello, world!',
	    77.9,
	    Node(10				),
	    None,
	    None,
	    12.20,
	]
	lowerCAmelCase					:    Dict      							= LinkedList()

	for i in test_input:
		linked_list.insert_tail(_A				)

	# Check if it's empty or not
	assert linked_list.is_empty() is False
	assert (
	    str(_A				) == "-9->100->Node(77345112)->dlrow olleH->7->5555->0->"
	    "-192.55555->Hello, world!->77.9->Node(10)->None->None->12.2"
	)

	# Delete the head
	lowerCAmelCase					:    Optional[Any]      							= linked_list.delete_head()
	assert result == -9
	assert (
	    str(_A				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
	    "Hello, world!->77.9->Node(10)->None->None->12.2"
	)

	# Delete the tail
	lowerCAmelCase					:    List[str]      							= linked_list.delete_tail()
	assert result == 12.2
	assert (
	    str(_A				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
	    "Hello, world!->77.9->Node(10)->None->None"
	)

	# Delete a node in specific location in linked list
	lowerCAmelCase					:    List[str]      							= linked_list.delete_nth(10				)
	assert result is None
	assert (
	    str(_A				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
	    "Hello, world!->77.9->Node(10)->None"
	)

	# Add a Node instance to its head
	linked_list.insert_head(Node('Hello again, world!'				)				)
	assert (
	    str(_A				)
	    == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
	    "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None"
	)

	# Add None to its tail
	linked_list.insert_tail(_A				)
	assert (
	    str(_A				)
	    == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
	    "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None->None"
	)

	# Reverse the linked list
	linked_list.reverse()
	assert (
	    str(_A				)
	    == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
	    "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
	)

def 			__UpperCamelCase    (    )    ->      List[Any]:




	"""simple docstring"""





	from doctest import testmod

	testmod()

	lowerCAmelCase					:    Optional[Any]      							= LinkedList()
	linked_list.insert_head(input('Inserting 1st at head '				).strip()				)
	linked_list.insert_head(input('Inserting 2nd at head '				).strip()				)
	print('\nPrint list:'				)
	linked_list.print_list()
	linked_list.insert_tail(input('\nInserting 1st at tail '				).strip()				)
	linked_list.insert_tail(input('Inserting 2nd at tail '				).strip()				)
	print('\nPrint list:'				)
	linked_list.print_list()
	print('\nDelete head'				)
	linked_list.delete_head()
	print('Delete tail'				)
	linked_list.delete_tail()
	print('\nPrint list:'				)
	linked_list.print_list()
	print('\nReverse linked list'				)
	linked_list.reverse()
	print('\nPrint list:'				)
	linked_list.print_list()
	print('\nString representation of linked list:'				)
	print(_A				)
	print('\nReading/changing Node data using indexing:'				)
	print(F"Element at Position 1: {linked_list[1]}"				)
	lowerCAmelCase					:    Tuple      							= input('Enter New Value: '				).strip()
	print('New list:'				)
	print(_A				)
	print(F"length of linked_list is : {len(_A				)}"				)


if __name__ == "__main__":
				main()
