






import os

import requests

A_	:	Optional[int]				=				'https://www.amdoren.com/api/currency.php'


# Currency and their description
A_	:	str				=				'\nAED	United Arab Emirates Dirham\nAFN	Afghan Afghani\nALL	Albanian Lek\nAMD	Armenian Dram\nANG	Netherlands Antillean Guilder\nAOA	Angolan Kwanza\nARS	Argentine Peso\nAUD	Australian Dollar\nAWG	Aruban Florin\nAZN	Azerbaijani Manat\nBAM	Bosnia & Herzegovina Convertible Mark\nBBD	Barbadian Dollar\nBDT	Bangladeshi Taka\nBGN	Bulgarian Lev\nBHD	Bahraini Dinar\nBIF	Burundian Franc\nBMD	Bermudian Dollar\nBND	Brunei Dollar\nBOB	Bolivian Boliviano\nBRL	Brazilian Real\nBSD	Bahamian Dollar\nBTN	Bhutanese Ngultrum\nBWP	Botswana Pula\nBYN	Belarus Ruble\nBZD	Belize Dollar\nCAD	Canadian Dollar\nCDF	Congolese Franc\nCHF	Swiss Franc\nCLP	Chilean Peso\nCNY	Chinese Yuan\nCOP	Colombian Peso\nCRC	Costa Rican Colon\nCUC	Cuban Convertible Peso\nCVE	Cape Verdean Escudo\nCZK	Czech Republic Koruna\nDJF	Djiboutian Franc\nDKK	Danish Krone\nDOP	Dominican Peso\nDZD	Algerian Dinar\nEGP	Egyptian Pound\nERN	Eritrean Nakfa\nETB	Ethiopian Birr\nEUR	Euro\nFJD	Fiji Dollar\nGBP	British Pound Sterling\nGEL	Georgian Lari\nGHS	Ghanaian Cedi\nGIP	Gibraltar Pound\nGMD	Gambian Dalasi\nGNF	Guinea Franc\nGTQ	Guatemalan Quetzal\nGYD	Guyanaese Dollar\nHKD	Hong Kong Dollar\nHNL	Honduran Lempira\nHRK	Croatian Kuna\nHTG	Haiti Gourde\nHUF	Hungarian Forint\nIDR	Indonesian Rupiah\nILS	Israeli Shekel\nINR	Indian Rupee\nIQD	Iraqi Dinar\nIRR	Iranian Rial\nISK	Icelandic Krona\nJMD	Jamaican Dollar\nJOD	Jordanian Dinar\nJPY	Japanese Yen\nKES	Kenyan Shilling\nKGS	Kyrgystani Som\nKHR	Cambodian Riel\nKMF	Comorian Franc\nKPW	North Korean Won\nKRW	South Korean Won\nKWD	Kuwaiti Dinar\nKYD	Cayman Islands Dollar\nKZT	Kazakhstan Tenge\nLAK	Laotian Kip\nLBP	Lebanese Pound\nLKR	Sri Lankan Rupee\nLRD	Liberian Dollar\nLSL	Lesotho Loti\nLYD	Libyan Dinar\nMAD	Moroccan Dirham\nMDL	Moldovan Leu\nMGA	Malagasy Ariary\nMKD	Macedonian Denar\nMMK	Myanma Kyat\nMNT	Mongolian Tugrik\nMOP	Macau Pataca\nMRO	Mauritanian Ouguiya\nMUR	Mauritian Rupee\nMVR	Maldivian Rufiyaa\nMWK	Malawi Kwacha\nMXN	Mexican Peso\nMYR	Malaysian Ringgit\nMZN	Mozambican Metical\nNAD	Namibian Dollar\nNGN	Nigerian Naira\nNIO	Nicaragua Cordoba\nNOK	Norwegian Krone\nNPR	Nepalese Rupee\nNZD	New Zealand Dollar\nOMR	Omani Rial\nPAB	Panamanian Balboa\nPEN	Peruvian Nuevo Sol\nPGK	Papua New Guinean Kina\nPHP	Philippine Peso\nPKR	Pakistani Rupee\nPLN	Polish Zloty\nPYG	Paraguayan Guarani\nQAR	Qatari Riyal\nRON	Romanian Leu\nRSD	Serbian Dinar\nRUB	Russian Ruble\nRWF	Rwanda Franc\nSAR	Saudi Riyal\nSBD	Solomon Islands Dollar\nSCR	Seychellois Rupee\nSDG	Sudanese Pound\nSEK	Swedish Krona\nSGD	Singapore Dollar\nSHP	Saint Helena Pound\nSLL	Sierra Leonean Leone\nSOS	Somali Shilling\nSRD	Surinamese Dollar\nSSP	South Sudanese Pound\nSTD	Sao Tome and Principe Dobra\nSYP	Syrian Pound\nSZL	Swazi Lilangeni\nTHB	Thai Baht\nTJS	Tajikistan Somoni\nTMT	Turkmenistani Manat\nTND	Tunisian Dinar\nTOP	Tonga Paanga\nTRY	Turkish Lira\nTTD	Trinidad and Tobago Dollar\nTWD	New Taiwan Dollar\nTZS	Tanzanian Shilling\nUAH	Ukrainian Hryvnia\nUGX	Ugandan Shilling\nUSD	United States Dollar\nUYU	Uruguayan Peso\nUZS	Uzbekistan Som\nVEF	Venezuelan Bolivar\nVND	Vietnamese Dong\nVUV	Vanuatu Vatu\nWST	Samoan Tala\nXAF	Central African CFA franc\nXCD	East Caribbean Dollar\nXOF	West African CFA franc\nXPF	CFP Franc\nYER	Yemeni Rial\nZAR	South African Rand\nZMW	Zambian Kwacha\n'

def 						snake_case      (UpperCAmelCase__ = "USD"			,					UpperCAmelCase__ = "INR"			,					UpperCAmelCase__ = 1.0			,					UpperCAmelCase__ = ""						) ->       str:
  UpperCamelCase_:      List[Any]					   =       locals()
  # from is a reserved keyword
  UpperCamelCase_:      List[str]					   =       params.pop('from_'						)
  UpperCamelCase_:      int					   =       requests.get(UpperCAmelCase__			,					params=UpperCAmelCase__						).json()
  return str(res['amount']						) if res["error"] == 0 else res["error_message"]


if __name__ == "__main__":
   A_	:	Optional[int]				=				os.getenv('CI', '')
   A_	:	Dict				=				os.getenv('AMDOREN_API_KEY', '')

   if not API_KEY and not TESTING:
      raise KeyError(
          'API key must be provided in the \'AMDOREN_API_KEY\' environment variable.'
      )

   print(
       convert_currency(
           input('Enter from currency: ').strip(),
           input('Enter to currency: ').strip(),
           float(input('Enter the amount: ').strip()),
           API_KEY,
       )
   )







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_	:	Dict				=				True
except ImportError:
   A_	:	Optional[int]				=				False


try:
   from torch.hub import _get_torch_home

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

def 						snake_case      (UpperCAmelCase__=OBJECTS			,					UpperCAmelCase__=ATTRIBUTES						) ->       Dict:
  UpperCamelCase_:      Any					   =       []
  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 						snake_case      (UpperCAmelCase__						) ->       List[str]:
  UpperCamelCase_:      Union[str, Any]					   =       OrderedDict()
  with open(UpperCAmelCase__			,					'rb'						) as f:
    UpperCamelCase_:      Tuple					   =       pkl.load(UpperCAmelCase__						)['model']
  for k in copy.deepcopy(list(ckp.keys()						)						):
    UpperCamelCase_:      str					   =       ckp.pop(UpperCAmelCase__						)
    if isinstance(UpperCAmelCase__			,					np.ndarray						):
      UpperCamelCase_:      Optional[int]					   =       torch.tensor(UpperCAmelCase__						)
    else:
      assert isinstance(UpperCAmelCase__			,					torch.tensor						), type(UpperCAmelCase__						)
    UpperCamelCase_:      int					   =       v
  return r




class        _lowerCAmelCase:





       """simple docstring"""







       a       :	Dict								={}





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

         UpperCamelCase_:      Union[str, Any]					   =       d





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





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





       def     _a					(      self							):
         return self._pointer





       def     _a					(      self						,    _lowerCamelCase						,    _lowerCamelCase							):
         with open(f'''{file_name}'''						,    'w'							) as stream:
           dump(_lowerCamelCase						,    _lowerCamelCase							)





       def     _a					(      self						,    _lowerCamelCase						,    _lowerCamelCase							):
         with open(f'''{file_name}'''						,    'w'							) as stream:
           json.dump(_lowerCamelCase						,    _lowerCamelCase							)





       @staticmethod
       def     _a					(      _lowerCamelCase							):
         with open(_lowerCamelCase							) as stream:
           UpperCamelCase_:      Any					   =       load(_lowerCamelCase						,    Loader=_lowerCamelCase							)
         return data





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





       @classmethod
       def     _a					(      cls						,    _lowerCamelCase						,    **_lowerCamelCase							):
         UpperCamelCase_   ,UpperCamelCase_:      str					   =       cls.get_config_dict(_lowerCamelCase						,    **_lowerCamelCase							)
         return cls(_lowerCamelCase							)





       @classmethod
       def     _a					(      cls						,    _lowerCamelCase						,    **_lowerCamelCase							):
         UpperCamelCase_:      int					   =       kwargs.pop('cache_dir'						,    _lowerCamelCase							)
         UpperCamelCase_:      Optional[Any]					   =       kwargs.pop('force_download'						,    _lowerCamelCase							)
         UpperCamelCase_:      Optional[Any]					   =       kwargs.pop('resume_download'						,    _lowerCamelCase							)
         UpperCamelCase_:      Tuple					   =       kwargs.pop('proxies'						,    _lowerCamelCase							)
         UpperCamelCase_:      Dict					   =       kwargs.pop('local_files_only'						,    _lowerCamelCase							)

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

         try:
           # Load from URL or cache if already cached
           UpperCamelCase_:      Tuple					   =       cached_path(
               _lowerCamelCase						,    cache_dir=_lowerCamelCase						,    force_download=_lowerCamelCase						,    proxies=_lowerCamelCase						,    resume_download=_lowerCamelCase						,    local_files_only=_lowerCamelCase						,    )
           # Load config dict
           if resolved_config_file is None:
             raise EnvironmentError

           UpperCamelCase_:      Dict					   =       Config.load_yaml(_lowerCamelCase							)

         except EnvironmentError:
           UpperCamelCase_:      Tuple					   =       'Can\'t load config for'
           raise EnvironmentError(_lowerCamelCase							)

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

         return Config.load_yaml(_lowerCamelCase							), kwargs







def 						snake_case      (UpperCAmelCase__						) ->       Tuple:
  UpperCamelCase_:      Optional[Any]					   =       torch.load('dump.pt'			,					map_location=in_tensor.device						)
  UpperCamelCase_:      Optional[Any]					   =       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(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()						)*1_0_0:.4f} %'''
      " element-wise mismatch"
  )
  raise Exception('tensors are all good'						)

  # Hugging face functions below

def 						snake_case      (UpperCAmelCase__						) ->       List[str]:
  UpperCamelCase_:      List[str]					   =       urlparse(UpperCAmelCase__						)
  return parsed.scheme in ("http", "https")

def 						snake_case      (UpperCAmelCase__			,					UpperCAmelCase__			,					UpperCAmelCase__=True						) ->       str:
  UpperCamelCase_:      Tuple					   =       CLOUDFRONT_DISTRIB_PREFIX if use_cdn else S3_BUCKET_PREFIX
  UpperCamelCase_:      Any					   =       '/' not in model_id
  if legacy_format:
    return F'''{endpoint}/{model_id}-{filename}'''
  else:
    return F'''{endpoint}/{model_id}/{filename}'''

def 						snake_case      (UpperCAmelCase__			,					UpperCAmelCase__			,					UpperCAmelCase__=None			,					UpperCAmelCase__=0			,					UpperCAmelCase__=None			,					) ->       List[Any]:
  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_:      int					   =       {'user-agent': ua}
  if resume_size > 0:
    UpperCamelCase_:      int					   =       'bytes=%d-' % (resume_size,)
  UpperCamelCase_:      List[Any]					   =       requests.get(UpperCAmelCase__			,					stream=UpperCAmelCase__			,					proxies=UpperCAmelCase__			,					headers=UpperCAmelCase__						)
  if response.status_code == 4_1_6:  # Range not satisfiable
    return
  UpperCamelCase_:      Tuple					   =       response.headers.get('Content-Length'						)
  UpperCamelCase_:      Union[str, Any]					   =       resume_size + int(UpperCAmelCase__						) if content_length is not None else None
  UpperCamelCase_:      Any					   =       tqdm(
      unit='B'			,					unit_scale=UpperCAmelCase__			,					total=UpperCAmelCase__			,					initial=UpperCAmelCase__			,					desc='Downloading'			,					)
  for chunk in response.iter_content(chunk_size=1_0_2_4						):
    if chunk:  # filter out keep-alive new chunks
      progress.update(len(UpperCAmelCase__						)						)
      temp_file.write(UpperCAmelCase__						)
  progress.close()

def 						snake_case      (UpperCAmelCase__			,					UpperCAmelCase__=None			,					UpperCAmelCase__=False			,					UpperCAmelCase__=None			,					UpperCAmelCase__=1_0			,					UpperCAmelCase__=False			,					UpperCAmelCase__=None			,					UpperCAmelCase__=False			,					) ->       Optional[Any]:
  if cache_dir is None:
    UpperCamelCase_:      int					   =       TRANSFORMERS_CACHE
  if isinstance(UpperCAmelCase__			,					UpperCAmelCase__						):
    UpperCamelCase_:      Any					   =       str(UpperCAmelCase__						)

  os.makedirs(UpperCAmelCase__			,					exist_ok=UpperCAmelCase__						)

  UpperCamelCase_:      Any					   =       None
  if not local_files_only:
    try:
      UpperCamelCase_:      Dict					   =       requests.head(UpperCAmelCase__			,					allow_redirects=UpperCAmelCase__			,					proxies=UpperCAmelCase__			,					timeout=UpperCAmelCase__						)
      if response.status_code == 2_0_0:
        UpperCamelCase_:      Optional[int]					   =       response.headers.get('ETag'						)
    except (EnvironmentError, requests.exceptions.Timeout):
      # etag is already None
      pass

  UpperCamelCase_:      str					   =       url_to_filename(UpperCAmelCase__			,					UpperCAmelCase__						)

  # get cache path to put the file
  UpperCamelCase_:      str					   =       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_:      Union[str, 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_:      int					   =       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_:      Any					   =       cache_path + '.incomplete'

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

      UpperCamelCase_:      int					   =       _resumable_file_manager
      if os.path.exists(UpperCAmelCase__						):
        UpperCamelCase_:      Dict					   =       os.stat(UpperCAmelCase__						).st_size
      else:
        UpperCamelCase_:      List[str]					   =       0
    else:
      UpperCamelCase_:      Tuple					   =       partial(tempfile.NamedTemporaryFile			,					dir=UpperCAmelCase__			,					delete=UpperCAmelCase__						)
      UpperCamelCase_:      Optional[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'			,					UpperCAmelCase__			,					temp_file.name			,					)

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

    os.replace(temp_file.name			,					UpperCAmelCase__						)

    UpperCamelCase_:      Dict					   =       {'url': url, 'etag': etag}
    UpperCamelCase_:      Dict					   =       cache_path + '.json'
    with open(UpperCAmelCase__			,					'w'						) as meta_file:
      json.dump(UpperCAmelCase__			,					UpperCAmelCase__						)

  return cache_path

def 						snake_case      (UpperCAmelCase__			,					UpperCAmelCase__=None						) ->       List[str]:
  UpperCamelCase_:      int					   =       url.encode('utf-8'						)
  UpperCamelCase_:      List[Any]					   =       shaaaa(UpperCAmelCase__						)
  UpperCamelCase_:      Union[str, Any]					   =       url_hash.hexdigest()

  if etag:
    UpperCamelCase_:      List[str]					   =       etag.encode('utf-8'						)
    UpperCamelCase_:      Union[str, Any]					   =       shaaaa(UpperCAmelCase__						)
    filename += "." + etag_hash.hexdigest()

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

  return filename

def 						snake_case      (UpperCAmelCase__			,					UpperCAmelCase__=None			,					UpperCAmelCase__=False			,					UpperCAmelCase__=None			,					UpperCAmelCase__=False			,					UpperCAmelCase__=None			,					UpperCAmelCase__=False			,					UpperCAmelCase__=False			,					UpperCAmelCase__=False			,					) ->       str:
  if cache_dir is None:
    UpperCamelCase_:      Any					   =       TRANSFORMERS_CACHE
  if isinstance(UpperCAmelCase__			,					UpperCAmelCase__						):
    UpperCamelCase_:      Optional[int]					   =       str(UpperCAmelCase__						)
  if isinstance(UpperCAmelCase__			,					UpperCAmelCase__						):
    UpperCamelCase_:      List[Any]					   =       str(UpperCAmelCase__						)

  if is_remote_url(UpperCAmelCase__						):
    # URL, so get it from the cache (downloading if necessary)
    UpperCamelCase_:      List[str]					   =       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_:      Tuple					   =       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_   ,UpperCamelCase_:      List[Any]					   =       os.path.split(UpperCAmelCase__						)
    UpperCamelCase_:      Dict					   =       output_file.replace('.'			,					'-'						) + '-extracted'
    UpperCamelCase_:      Union[str, Any]					   =       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_:      List[Any]					   =       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 						snake_case      (UpperCAmelCase__			,					UpperCAmelCase__=","						) ->       Any:
  assert isinstance(UpperCAmelCase__			,					UpperCAmelCase__						)
  if os.path.isfile(UpperCAmelCase__						):
    with open(UpperCAmelCase__						) as f:
      UpperCamelCase_:      Optional[Any]					   =       eval(f.read()						)
  else:
    UpperCamelCase_:      List[str]					   =       requests.get(UpperCAmelCase__						)
    try:
      UpperCamelCase_:      str					   =       requests.json()
    except Exception:
      UpperCamelCase_:      List[str]					   =       req.content.decode()
      assert data is not None, "could not connect"
      try:
        UpperCamelCase_:      str					   =       eval(UpperCAmelCase__						)
      except Exception:
        UpperCamelCase_:      Optional[Any]					   =       data.split('\n'						)
    req.close()
  return data

def 						snake_case      (UpperCAmelCase__						) ->       str:
  UpperCamelCase_:      str					   =       requests.get(UpperCAmelCase__						)
  UpperCamelCase_:      int					   =       np.array(Image.open(BytesIO(response.content						)						)						)
  return img

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

def 						snake_case      () ->       Any:
  print(F'''{os.path.abspath(os.path.join(UpperCAmelCase__			,					os.pardir						)						)}/demo.ipynb'''						)

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

def 						snake_case      (UpperCAmelCase__			,					UpperCAmelCase__=1						) ->       List[str]:
  return (images[i : i + batch] for i in range(0			,					len(UpperCAmelCase__						)			,					UpperCAmelCase__						))