






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

       a						:			List[Any]     	=					True
except ImportError:
       a						:			str     	=					False


try:
       from torch.hub import _get_torch_home

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

a						:			Optional[Any]     	=					os.path.join(torch_cache_home, "transformers")

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






def 							lowerCamelCase__ (       __lowerCamelCase     :	str=OBJECTS    ,						__lowerCamelCase     :	Union[str, Any]=ATTRIBUTES						):
  __UpperCAmelCase				:      Union[str, Any]	 =    []
  with open(__lowerCamelCase						) as f:
    for object in f.readlines():
      vg_classes.append(object.split(""","""						)[0].lower().strip()						)

  __UpperCAmelCase				:      Dict	 =    []
  with open(__lowerCamelCase						) as f:
    for object in f.readlines():
      vg_attrs.append(object.split(""","""						)[0].lower().strip()						)
  return vg_classes, vg_attrs






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



      """simple docstring"""


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

        __UpperCAmelCase				:      Any	 =    d
      def __repr__( self   :     Optional[Any]   )				-> Optional[int]:
        return str(list((self._pointer.keys())   )   )
      def __setattr__( self   :     List[str]						, __lowercase   :     List[str]						, __lowercase   :     Tuple   )				-> int:
        __UpperCAmelCase				:      int	 =    val
        __UpperCAmelCase				:      List[str]	 =    val
        __UpperCAmelCase				:      Union[str, Any]	 =    key.split("""."""   )
        __UpperCAmelCase				:      List[Any]	 =    len(__lowercase   ) - 1
        __UpperCAmelCase				:      List[Any]	 =    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				:      Union[str, Any]	 =    pointer[l]
      def       UpperCAmelCase ( self   :     Tuple   )				-> Optional[int]:
        return self._pointer
      def       UpperCAmelCase ( self   :     str						, __lowercase   :     Optional[int]						, __lowercase   :     Any   )				-> Optional[int]:
        with open(f"""{file_name}"""						, """w"""   ) as stream:
          dump(__lowercase						, __lowercase   )
      def       UpperCAmelCase ( self   :     List[str]						, __lowercase   :     Union[str, Any]						, __lowercase   :     Union[str, Any]   )				-> Any:
        with open(f"""{file_name}"""						, """w"""   ) as stream:
          json.dump(__lowercase						, __lowercase   )
      @staticmethod
      def       UpperCAmelCase ( __lowercase   :     List[Any]   )				-> Optional[Any]:
        with open(__lowercase   ) as stream:
          __UpperCAmelCase				:      Any	 =    load(__lowercase						, Loader=__lowercase   )
        return data
      def __str__( self   :     List[str]   )				-> Tuple:
        __UpperCAmelCase				:      Any	 =    """    """
        if self._name != "root":
          __UpperCAmelCase				:      Optional[Any]	 =    f"""{t * (self._level-1)}{self._name}:\n"""
        else:
          __UpperCAmelCase				:      List[Any]	 =    """"""
        __UpperCAmelCase				:      Optional[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				:      int	 =    level
        return r[:-1]
      @classmethod
      def       UpperCAmelCase ( cls   :     List[str]						, __lowercase   :     str						, **__lowercase   :     Any   )				-> Any:
        __UpperCAmelCase ,					__UpperCAmelCase				:      Optional[Any]	 =    cls.get_config_dict(__lowercase						, **__lowercase   )
        return cls(__lowercase   )




      @classmethod
      def       UpperCAmelCase ( cls   :     Dict						, __lowercase   :     str						, **__lowercase   :     Union[str, Any]   )				-> Optional[int]:
        __UpperCAmelCase				:      int	 =    kwargs.pop("""cache_dir"""						, __lowercase   )
        __UpperCAmelCase				:      int	 =    kwargs.pop("""force_download"""						, __lowercase   )
        __UpperCAmelCase				:      str	 =    kwargs.pop("""resume_download"""						, __lowercase   )
        __UpperCAmelCase				:      Dict	 =    kwargs.pop("""proxies"""						, __lowercase   )
        __UpperCAmelCase				:      Union[str, Any]	 =    kwargs.pop("""local_files_only"""						, __lowercase   )

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

        try:
          # Load from URL or cache if already cached
          __UpperCAmelCase				:      Optional[int]	 =    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				:      Optional[int]	 =    Config.load_yaml(__lowercase   )

        except EnvironmentError:
          __UpperCAmelCase				:      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__ (       __lowerCamelCase     :	Dict						):
  __UpperCAmelCase				:      Optional[int]	 =    torch.load("""dump.pt"""    ,						map_location=in_tensor.device						)
  __UpperCAmelCase				:      Tuple	 =    in_tensor.numpy()
  __UpperCAmelCase				:      Optional[int]	 =    out_tensor.numpy()[0]
  print(na.shape    ,						na[0, 0, :5]						)
  print(na.shape    ,						na[0, 0, :5]						)
  assert np.allclose(__lowerCamelCase    ,						__lowerCamelCase    ,						rtol=0.0_1    ,						atol=0.1						), (
      f"""{sum([1 for x in np.isclose(__lowerCamelCase    ,						__lowerCamelCase    ,						rtol=0.0_1    ,						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__ (       __lowerCamelCase     :	Optional[int]						):
  __UpperCAmelCase				:      Tuple	 =    urlparse(__lowerCamelCase						)
  return parsed.scheme in ("http", "https")






def 							lowerCamelCase__ (       __lowerCamelCase     :	str    ,						__lowerCamelCase     :	str    ,						__lowerCamelCase     :	int=True						):
  __UpperCAmelCase				:      int	 =    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__ (       __lowerCamelCase     :	Optional[int]    ,						__lowerCamelCase     :	List[Any]    ,						__lowerCamelCase     :	Tuple=None    ,						__lowerCamelCase     :	Optional[Any]=0    ,						__lowerCamelCase     :	Optional[int]=None    ,						):
  __UpperCAmelCase				:      Optional[int]	 =    """python/{}""".format(sys.version.split()[0]						)
  if _torch_available:
    ua += "; torch/{}".format(torch.__version__						)
  if isinstance(__lowerCamelCase    ,						__lowerCamelCase						):
    ua += "; " + "; ".join("""{}/{}""".format(__lowerCamelCase    ,						__lowerCamelCase						) for k, v in user_agent.items()						)
  elif isinstance(__lowerCamelCase    ,						__lowerCamelCase						):
    ua += "; " + user_agent
  __UpperCAmelCase				:      List[str]	 =    {"""user-agent""": ua}
  if resume_size > 0:
    __UpperCAmelCase				:      Union[str, Any]	 =    """bytes=%d-""" % (resume_size,)
  __UpperCAmelCase				:      Union[str, Any]	 =    requests.get(__lowerCamelCase    ,						stream=__lowerCamelCase    ,						proxies=__lowerCamelCase    ,						headers=__lowerCamelCase						)
  if response.status_code == 416:  # Range not satisfiable
    return
  __UpperCAmelCase				:      List[str]	 =    response.headers.get("""Content-Length"""						)
  __UpperCAmelCase				:      str	 =    resume_size + int(__lowerCamelCase						) if content_length is not None else None
  __UpperCAmelCase				:      List[Any]	 =    tqdm(
      unit="""B"""    ,						unit_scale=__lowerCamelCase    ,						total=__lowerCamelCase    ,						initial=__lowerCamelCase    ,						desc="""Downloading"""    ,						)
  for chunk in response.iter_content(chunk_size=1024						):
    if chunk:  # filter out keep-alive new chunks
      progress.update(len(__lowerCamelCase						)						)
      temp_file.write(__lowerCamelCase						)
  progress.close()






def 							lowerCamelCase__ (       __lowerCamelCase     :	List[Any]    ,						__lowerCamelCase     :	Optional[int]=None    ,						__lowerCamelCase     :	Optional[int]=False    ,						__lowerCamelCase     :	Union[str, Any]=None    ,						__lowerCamelCase     :	str=10    ,						__lowerCamelCase     :	Optional[int]=False    ,						__lowerCamelCase     :	Dict=None    ,						__lowerCamelCase     :	List[str]=False    ,						):
  if cache_dir is None:
    __UpperCAmelCase				:      Optional[Any]	 =    TRANSFORMERS_CACHE
  if isinstance(__lowerCamelCase    ,						__lowerCamelCase						):
    __UpperCAmelCase				:      List[str]	 =    str(__lowerCamelCase						)

  os.makedirs(__lowerCamelCase    ,						exist_ok=__lowerCamelCase						)

  __UpperCAmelCase				:      List[Any]	 =    None
  if not local_files_only:
    try:
      __UpperCAmelCase				:      Optional[Any]	 =    requests.head(__lowerCamelCase    ,						allow_redirects=__lowerCamelCase    ,						proxies=__lowerCamelCase    ,						timeout=__lowerCamelCase						)
      if response.status_code == 200:
        __UpperCAmelCase				:      Dict	 =    response.headers.get("""ETag"""						)
    except (EnvironmentError, requests.exceptions.Timeout):
      # etag is already None
      pass

  __UpperCAmelCase				:      List[str]	 =    url_to_filename(__lowerCamelCase    ,						__lowerCamelCase						)

  # get cache path to put the file
  __UpperCAmelCase				:      Optional[int]	 =    os.path.join(__lowerCamelCase    ,						__lowerCamelCase						)

  # 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(__lowerCamelCase						):
      return cache_path
    else:
      __UpperCAmelCase				:      List[Any]	 =    [
          file
          for file in fnmatch.filter(os.listdir(__lowerCamelCase						)    ,						filename + """.*"""						)
          if not file.endswith(""".json"""						) and not file.endswith(""".lock"""						)
      ]
      if len(__lowerCamelCase						) > 0:
        return os.path.join(__lowerCamelCase    ,						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(__lowerCamelCase						) and not force_download:
    return cache_path

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

    if resume_download:
      __UpperCAmelCase				:      int	 =    cache_path + """.incomplete"""

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

      __UpperCAmelCase				:      str	 =    _resumable_file_manager
      if os.path.exists(__lowerCamelCase						):
        __UpperCAmelCase				:      List[Any]	 =    os.stat(__lowerCamelCase						).st_size
      else:
        __UpperCAmelCase				:      List[Any]	 =    0
    else:
      __UpperCAmelCase				:      str	 =    partial(tempfile.NamedTemporaryFile    ,						dir=__lowerCamelCase    ,						delete=__lowerCamelCase						)
      __UpperCAmelCase				:      Optional[int]	 =    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"""    ,						__lowerCamelCase    ,						temp_file.name    ,						)

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

    os.replace(temp_file.name    ,						__lowerCamelCase						)

    __UpperCAmelCase				:      Any	 =    {"""url""": url, """etag""": etag}
    __UpperCAmelCase				:      Union[str, Any]	 =    cache_path + """.json"""
    with open(__lowerCamelCase    ,						"""w"""						) as meta_file:
      json.dump(__lowerCamelCase    ,						__lowerCamelCase						)

  return cache_path






def 							lowerCamelCase__ (       __lowerCamelCase     :	Union[str, Any]    ,						__lowerCamelCase     :	List[Any]=None						):
  __UpperCAmelCase				:      Tuple	 =    url.encode("""utf-8"""						)
  __UpperCAmelCase				:      Optional[Any]	 =    shaaaa(__lowerCamelCase						)
  __UpperCAmelCase				:      Optional[int]	 =    url_hash.hexdigest()

  if etag:
    __UpperCAmelCase				:      int	 =    etag.encode("""utf-8"""						)
    __UpperCAmelCase				:      List[str]	 =    shaaaa(__lowerCamelCase						)
    filename += "." + etag_hash.hexdigest()

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

  return filename






def 							lowerCamelCase__ (       __lowerCamelCase     :	Any    ,						__lowerCamelCase     :	int=None    ,						__lowerCamelCase     :	int=False    ,						__lowerCamelCase     :	Union[str, Any]=None    ,						__lowerCamelCase     :	Tuple=False    ,						__lowerCamelCase     :	str=None    ,						__lowerCamelCase     :	List[Any]=False    ,						__lowerCamelCase     :	Tuple=False    ,						__lowerCamelCase     :	str=False    ,						):
  if cache_dir is None:
    __UpperCAmelCase				:      List[str]	 =    TRANSFORMERS_CACHE
  if isinstance(__lowerCamelCase    ,						__lowerCamelCase						):
    __UpperCAmelCase				:      Any	 =    str(__lowerCamelCase						)
  if isinstance(__lowerCamelCase    ,						__lowerCamelCase						):
    __UpperCAmelCase				:      Tuple	 =    str(__lowerCamelCase						)

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

  if extract_compressed_file:
    if not is_zipfile(__lowerCamelCase						) and not tarfile.is_tarfile(__lowerCamelCase						):
      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 ,					__UpperCAmelCase				:      int	 =    os.path.split(__lowerCamelCase						)
    __UpperCAmelCase				:      Any	 =    output_file.replace("""."""    ,						"""-"""						) + """-extracted"""
    __UpperCAmelCase				:      List[str]	 =    os.path.join(__lowerCamelCase    ,						__lowerCamelCase						)

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

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

    return output_path_extracted

  return output_path






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






def 							lowerCamelCase__ (       __lowerCamelCase     :	Any						):
  __UpperCAmelCase				:      Optional[int]	 =    requests.get(__lowerCamelCase						)
  __UpperCAmelCase				:      List[Any]	 =    np.array(Image.open(BytesIO(response.content						)						)						)
  return img






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






def 							lowerCamelCase__ (       ):
  print(f"""{os.path.abspath(os.path.join(__lowerCamelCase    ,						os.pardir						)						)}/demo.ipynb"""						)






def 							lowerCamelCase__ (       __lowerCamelCase     :	Any    ,						__lowerCamelCase     :	List[Any]="RGB"						):
  assert isinstance(__lowerCamelCase    ,						__lowerCamelCase						)
  if os.path.isfile(__lowerCamelCase						):
    __UpperCAmelCase				:      List[str]	 =    cva.imread(__lowerCamelCase						)
  else:
    __UpperCAmelCase				:      int	 =    get_image_from_url(__lowerCamelCase						)
    assert img is not None, f"""could not connect to: {im}"""
  __UpperCAmelCase				:      Any	 =    cva.cvtColor(__lowerCamelCase    ,						cva.COLOR_BGR2RGB						)
  if input_format == "RGB":
    __UpperCAmelCase				:      Optional[int]	 =    img[:, :, ::-1]
  return img







def 							lowerCamelCase__ (       __lowerCamelCase     :	Optional[int]    ,						__lowerCamelCase     :	int=1						):
  return (images[i : i + batch] for i in range(0    ,						len(__lowerCamelCase						)    ,						__lowerCamelCase						))








'''simple docstring'''



from typing import Any






class 							_a				:





       '''simple docstring'''






       def __init__(      self,							A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      str    					=						data
             SCREAMING_SNAKE_CASE   :      Any    					=						None







       def __repr__(      self  ):







             '''simple docstring'''







             return F"Node({self.data})"






class 							_a				:





       '''simple docstring'''






       def __init__(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      List[str]    					=						None







       def __iter__(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						self.head
             while node:
                   yield node.data
                   SCREAMING_SNAKE_CASE   :      List[str]    					=						node.next







       def __len__(      self  ):







             '''simple docstring'''







             return sum(1 for _ in self  )







       def __repr__(      self  ):







             '''simple docstring'''







             return "->".join([str(A  ) for item in self]  )







       def __getitem__(      self,							A  ):







             '''simple docstring'''







             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,							A,							A  ):







             '''simple docstring'''







             if not 0 <= index < len(self  ):
                   raise ValueError('list index out of range.'  )
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						self.head
             for _ in range(A  ):
                   SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						current.next
             SCREAMING_SNAKE_CASE   :      Any    					=						data







       def        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







             self.insert_nth(len(self  ),							A  )







       def        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







             self.insert_nth(0,							A  )







       def        UpperCamelCase_							(      self,							A,							A  ):







             '''simple docstring'''







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







       def        UpperCamelCase_							(      self  ):  # print every node data







             '''simple docstring'''







             print(self  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             return self.delete_nth(0  )







       def        UpperCamelCase_							(      self  ):  # delete from tail







             '''simple docstring'''







             return self.delete_nth(len(self  ) - 1  )







       def        UpperCamelCase_							(      self,							A = 0  ):







             '''simple docstring'''







             if not 0 <= index <= len(self  ) - 1:  # test if index is valid
                   raise IndexError('List index out of range.'  )
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						self.head  # default first node
             if index == 0:
                   SCREAMING_SNAKE_CASE   :      List[str]    					=						self.head.next
             else:
                   SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						self.head
                   for _ in range(index - 1  ):
                         SCREAMING_SNAKE_CASE   :      Any    					=						temp.next
                   SCREAMING_SNAKE_CASE   :      List[str]    					=						temp.next
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						temp.next.next
             return delete_node.data







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             return self.head is None







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      int    					=						None
             SCREAMING_SNAKE_CASE   :      Any    					=						self.head

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




def   lowercase__(			):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Dict    					=						LinkedList()
      assert linked_list.is_empty() is True
      assert str(__UpperCamelCase    ) == ""

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

      linked_list.insert_head(0    )
      linked_list.insert_tail(11    )
      assert str(__UpperCamelCase    ) == "->".join(str(__UpperCamelCase    ) 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(__UpperCamelCase    ) == 9
      assert str(__UpperCamelCase    ) == "->".join(str(__UpperCamelCase    ) 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    ):
            SCREAMING_SNAKE_CASE   :      Any    					=						-i
      assert all(linked_list[i] == -i for i in range(0      ,9    )    ) is True

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




def   lowercase__(			):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      List[str]    					=						[
          -9,
          1_00,
          Node(77_34_51_12    ),
          'dlrow olleH',
          7,
          55_55,
          0,
          -1_9_2.5_5_5_5_5,
          'Hello, world!',
          7_7.9,
          Node(10    ),
          None,
          None,
          1_2.2_0,
      ]
      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						LinkedList()

      for i in test_input:
            linked_list.insert_tail(__UpperCamelCase    )

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

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

      # Delete the tail
      SCREAMING_SNAKE_CASE   :      Dict    					=						linked_list.delete_tail()
      assert result == 1_2.2
      assert (
          str(__UpperCamelCase    ) == "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
      SCREAMING_SNAKE_CASE   :      str    					=						linked_list.delete_nth(10    )
      assert result is None
      assert (
          str(__UpperCamelCase    ) == "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(__UpperCamelCase    )
          == "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(__UpperCamelCase    )
      assert (
          str(__UpperCamelCase    )
          == "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(__UpperCamelCase    )
          == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
          "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
      )




def   lowercase__(			):

      """simple docstring"""






      from doctest import testmod

      testmod()

      SCREAMING_SNAKE_CASE   :      Dict    					=						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(__UpperCamelCase    )
      print('\nReading/changing Node data using indexing:'    )
      print(f"Element at Position 1: {linked_list[1]}"    )
      SCREAMING_SNAKE_CASE   :      str    					=						input('Enter New Value: '    ).strip()
      print('New list:'    )
      print(__UpperCamelCase    )
      print(f"length of linked_list is : {len(__UpperCamelCase    )}"    )


if __name__ == "__main__":
      main()


