



"""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

		UpperCAmelCase:  str			     =				True
except ImportError:
		UpperCAmelCase:  str			     =				False


try:
		from torch.hub import _get_torch_home

		UpperCAmelCase:  Tuple			     =				_get_torch_home()
except ImportError:
		UpperCAmelCase:  Union[str, Any]			     =				os.path.expanduser(
		    os.getenv("""TORCH_HOME""", os.path.join(os.getenv("""XDG_CACHE_HOME""", """~/.cache"""), """torch"""))
		)

UpperCAmelCase:  Any			     =				os.path.join(torch_cache_home, """transformers""")

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


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

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


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





class   UpperCamelCase	:




	"""simple docstring"""
	SCREAMING_SNAKE_CASE_							:       Optional[int]						       =  {}






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

			_lowercase				: Union[str, Any]     =   d






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






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






	def    lowerCamelCase__					(     self   ):
			return self._pointer






	def    lowerCamelCase__					(     self				,UpperCAmelCase_				,UpperCAmelCase_   ):
			with open(f"""{file_name}"""				,"""w"""   ) as stream:
					dump(UpperCAmelCase_				,UpperCAmelCase_   )






	def    lowerCamelCase__					(     self				,UpperCAmelCase_				,UpperCAmelCase_   ):
			with open(f"""{file_name}"""				,"""w"""   ) as stream:
					json.dump(UpperCAmelCase_				,UpperCAmelCase_   )






	@staticmethod
	def    lowerCamelCase__					(     UpperCAmelCase_   ):
			with open(UpperCAmelCase_   ) as stream:
					_lowercase				: Union[str, Any]     =   load(UpperCAmelCase_				,Loader=UpperCAmelCase_   )
			return data






	def __str__(     self   ):
			_lowercase				: str     =   """    """
			if self._name != "root":
					_lowercase				: List[Any]     =   f"""{t * (self._level-1)}{self._name}:\n"""
			else:
					_lowercase				: Any     =   """"""
			_lowercase				: List[Any]     =   self._level
			for i, (k, v) in enumerate(self._pointer.items()   ):
					if isinstance(UpperCAmelCase_				,UpperCAmelCase_   ):
							r += f"""{t * (self._level)}{v}\n"""
							self._level += 1
					else:
							r += f"""{t * (self._level)}{k}: {v} ({type(UpperCAmelCase_   ).__name__})\n"""
					_lowercase				: Optional[Any]     =   level
			return r[:-1]






	@classmethod
	def    lowerCamelCase__					(     cls				,UpperCAmelCase_				,**UpperCAmelCase_   ):
			_lowercase     ,  _lowercase				: Union[str, Any]     =   cls.get_config_dict(UpperCAmelCase_				,**UpperCAmelCase_   )
			return cls(UpperCAmelCase_   )






	@classmethod
	def    lowerCamelCase__					(     cls				,UpperCAmelCase_				,**UpperCAmelCase_   ):
			_lowercase				: Optional[Any]     =   kwargs.pop("""cache_dir"""				,UpperCAmelCase_   )
			_lowercase				: int     =   kwargs.pop("""force_download"""				,UpperCAmelCase_   )
			_lowercase				: List[str]     =   kwargs.pop("""resume_download"""				,UpperCAmelCase_   )
			_lowercase				: Any     =   kwargs.pop("""proxies"""				,UpperCAmelCase_   )
			_lowercase				: List[Any]     =   kwargs.pop("""local_files_only"""				,UpperCAmelCase_   )

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

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

					_lowercase				: Union[str, Any]     =   Config.load_yaml(UpperCAmelCase_   )

			except EnvironmentError:
					_lowercase				: Optional[int]     =   """Can't load config for"""
					raise EnvironmentError(UpperCAmelCase_   )

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

			return Config.load_yaml(UpperCAmelCase_   ), kwargs







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


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase   ,				__UpperCAmelCase   ,				__UpperCAmelCase=True      ):
		_lowercase				: str     =   CLOUDFRONT_DISTRIB_PREFIX if use_cdn else S3_BUCKET_PREFIX
		_lowercase				: Any     =   """/""" not in model_id
		if legacy_format:
				return F"""{endpoint}/{model_id}-{filename}"""
		else:
				return F"""{endpoint}/{model_id}/{filename}"""


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase   ,				__UpperCAmelCase   ,				__UpperCAmelCase=None   ,				__UpperCAmelCase=0   ,				__UpperCAmelCase=None   ,				):
		_lowercase				: str     =   """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
		_lowercase				: str     =   {"""user-agent""": ua}
		if resume_size > 0:
				_lowercase				: Any     =   """bytes=%d-""" % (resume_size,)
		_lowercase				: Tuple     =   requests.get(__UpperCAmelCase   ,				stream=__UpperCAmelCase   ,				proxies=__UpperCAmelCase   ,				headers=__UpperCAmelCase      )
		if response.status_code == 416:  # Range not satisfiable
				return
		_lowercase				: Any     =   response.headers.get("""Content-Length"""      )
		_lowercase				: Optional[Any]     =   resume_size + int(__UpperCAmelCase      ) if content_length is not None else None
		_lowercase				: Tuple     =   tqdm(
		    unit="""B"""   ,				unit_scale=__UpperCAmelCase   ,				total=__UpperCAmelCase   ,				initial=__UpperCAmelCase   ,				desc="""Downloading"""   ,				)
		for chunk in response.iter_content(chunk_size=1024      ):
				if chunk:  # filter out keep-alive new chunks
						progress.update(len(__UpperCAmelCase      )      )
						temp_file.write(__UpperCAmelCase      )
		progress.close()


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase   ,				__UpperCAmelCase=None   ,				__UpperCAmelCase=False   ,				__UpperCAmelCase=None   ,				__UpperCAmelCase=10   ,				__UpperCAmelCase=False   ,				__UpperCAmelCase=None   ,				__UpperCAmelCase=False   ,				):
		if cache_dir is None:
				_lowercase				: Tuple     =   TRANSFORMERS_CACHE
		if isinstance(__UpperCAmelCase   ,				__UpperCAmelCase      ):
				_lowercase				: List[Any]     =   str(__UpperCAmelCase      )

		os.makedirs(__UpperCAmelCase   ,				exist_ok=__UpperCAmelCase      )

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

		_lowercase				: str     =   url_to_filename(__UpperCAmelCase   ,				__UpperCAmelCase      )

		# get cache path to put the file
		_lowercase				: Union[str, Any]     =   os.path.join(__UpperCAmelCase   ,				__UpperCAmelCase      )

		# etag is None = we don't have a connection, or url doesn't exist, or is otherwise inaccessible.
		# try to get the last downloaded one
		if etag is None:
				if os.path.exists(__UpperCAmelCase      ):
						return cache_path
				else:
						_lowercase				: List[str]     =   [
						    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.
		_lowercase				: 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:
						_lowercase				: Optional[Any]     =   cache_path + """.incomplete"""

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

						_lowercase				: List[str]     =   _resumable_file_manager
						if os.path.exists(__UpperCAmelCase      ):
								_lowercase				: List[Any]     =   os.stat(__UpperCAmelCase      ).st_size
						else:
								_lowercase				: List[str]     =   0
				else:
						_lowercase				: Any     =   partial(tempfile.NamedTemporaryFile   ,				dir=__UpperCAmelCase   ,				delete=__UpperCAmelCase      )
						_lowercase				: Union[str, 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      )

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

		return cache_path


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase   ,				__UpperCAmelCase=None      ):
		_lowercase				: List[str]     =   url.encode("""utf-8"""      )
		_lowercase				: Dict     =   shaaaa(__UpperCAmelCase      )
		_lowercase				: List[str]     =   url_hash.hexdigest()

		if etag:
				_lowercase				: Dict     =   etag.encode("""utf-8"""      )
				_lowercase				: Optional[int]     =   shaaaa(__UpperCAmelCase      )
				filename += "." + etag_hash.hexdigest()

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

		return filename


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase   ,				__UpperCAmelCase=None   ,				__UpperCAmelCase=False   ,				__UpperCAmelCase=None   ,				__UpperCAmelCase=False   ,				__UpperCAmelCase=None   ,				__UpperCAmelCase=False   ,				__UpperCAmelCase=False   ,				__UpperCAmelCase=False   ,				):
		if cache_dir is None:
				_lowercase				: Optional[Any]     =   TRANSFORMERS_CACHE
		if isinstance(__UpperCAmelCase   ,				__UpperCAmelCase      ):
				_lowercase				: Optional[Any]     =   str(__UpperCAmelCase      )
		if isinstance(__UpperCAmelCase   ,				__UpperCAmelCase      ):
				_lowercase				: Optional[Any]     =   str(__UpperCAmelCase      )

		if is_remote_url(__UpperCAmelCase      ):
				# URL, so get it from the cache (downloading if necessary)
				_lowercase				: List[Any]     =   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.
				_lowercase				: List[str]     =   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/"
				_lowercase     ,  _lowercase				: int     =   os.path.split(__UpperCAmelCase      )
				_lowercase				: Dict     =   output_file.replace("""."""   ,				"""-"""      ) + """-extracted"""
				_lowercase				: 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
				_lowercase				: List[str]     =   output_path + """.lock"""
				with FileLock(__UpperCAmelCase      ):
						shutil.rmtree(__UpperCAmelCase   ,				ignore_errors=__UpperCAmelCase      )
						os.makedirs(__UpperCAmelCase      )
						if is_zipfile(__UpperCAmelCase      ):
								with ZipFile(__UpperCAmelCase   ,				"""r"""      ) as zip_file:
										zip_file.extractall(__UpperCAmelCase      )
										zip_file.close()
						elif tarfile.is_tarfile(__UpperCAmelCase      ):
								_lowercase				: Union[str, Any]     =   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  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase   ,				__UpperCAmelCase=","      ):
		assert isinstance(__UpperCAmelCase   ,				__UpperCAmelCase      )
		if os.path.isfile(__UpperCAmelCase      ):
				with open(__UpperCAmelCase      ) as f:
						_lowercase				: Any     =   eval(f.read()      )
		else:
				_lowercase				: int     =   requests.get(__UpperCAmelCase      )
				try:
						_lowercase				: Optional[int]     =   requests.json()
				except Exception:
						_lowercase				: Dict     =   req.content.decode()
						assert data is not None, "could not connect"
						try:
								_lowercase				: str     =   eval(__UpperCAmelCase      )
						except Exception:
								_lowercase				: Optional[Any]     =   data.split("""\n"""      )
				req.close()
		return data


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase      ):
		_lowercase				: List[Any]     =   requests.get(__UpperCAmelCase      )
		_lowercase				: Tuple     =   np.array(Image.open(BytesIO(response.content      )      )      )
		return img


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


def  __SCREAMING_SNAKE_CASE (  ):
		print(F"""{os.path.abspath(os.path.join(__UpperCAmelCase   ,				os.pardir      )      )}/demo.ipynb"""      )


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


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase   ,				__UpperCAmelCase=1      ):
		return (images[i : i + batch] for i in range(0   ,				len(__UpperCAmelCase      )   ,				__UpperCAmelCase      ))










import os

import requests

_UpperCamelCase       :				str           =			"""https://www.amdoren.com/api/currency.php"""


# Currency and their description
_UpperCamelCase       :				str           =			"""
AED	United Arab Emirates Dirham
AFN	Afghan Afghani
ALL	Albanian Lek
AMD	Armenian Dram
ANG	Netherlands Antillean Guilder
AOA	Angolan Kwanza
ARS	Argentine Peso
AUD	Australian Dollar
AWG	Aruban Florin
AZN	Azerbaijani Manat
BAM	Bosnia & Herzegovina Convertible Mark
BBD	Barbadian Dollar
BDT	Bangladeshi Taka
BGN	Bulgarian Lev
BHD	Bahraini Dinar
BIF	Burundian Franc
BMD	Bermudian Dollar
BND	Brunei Dollar
BOB	Bolivian Boliviano
BRL	Brazilian Real
BSD	Bahamian Dollar
BTN	Bhutanese Ngultrum
BWP	Botswana Pula
BYN	Belarus Ruble
BZD	Belize Dollar
CAD	Canadian Dollar
CDF	Congolese Franc
CHF	Swiss Franc
CLP	Chilean Peso
CNY	Chinese Yuan
COP	Colombian Peso
CRC	Costa Rican Colon
CUC	Cuban Convertible Peso
CVE	Cape Verdean Escudo
CZK	Czech Republic Koruna
DJF	Djiboutian Franc
DKK	Danish Krone
DOP	Dominican Peso
DZD	Algerian Dinar
EGP	Egyptian Pound
ERN	Eritrean Nakfa
ETB	Ethiopian Birr
EUR	Euro
FJD	Fiji Dollar
GBP	British Pound Sterling
GEL	Georgian Lari
GHS	Ghanaian Cedi
GIP	Gibraltar Pound
GMD	Gambian Dalasi
GNF	Guinea Franc
GTQ	Guatemalan Quetzal
GYD	Guyanaese Dollar
HKD	Hong Kong Dollar
HNL	Honduran Lempira
HRK	Croatian Kuna
HTG	Haiti Gourde
HUF	Hungarian Forint
IDR	Indonesian Rupiah
ILS	Israeli Shekel
INR	Indian Rupee
IQD	Iraqi Dinar
IRR	Iranian Rial
ISK	Icelandic Krona
JMD	Jamaican Dollar
JOD	Jordanian Dinar
JPY	Japanese Yen
KES	Kenyan Shilling
KGS	Kyrgystani Som
KHR	Cambodian Riel
KMF	Comorian Franc
KPW	North Korean Won
KRW	South Korean Won
KWD	Kuwaiti Dinar
KYD	Cayman Islands Dollar
KZT	Kazakhstan Tenge
LAK	Laotian Kip
LBP	Lebanese Pound
LKR	Sri Lankan Rupee
LRD	Liberian Dollar
LSL	Lesotho Loti
LYD	Libyan Dinar
MAD	Moroccan Dirham
MDL	Moldovan Leu
MGA	Malagasy Ariary
MKD	Macedonian Denar
MMK	Myanma Kyat
MNT	Mongolian Tugrik
MOP	Macau Pataca
MRO	Mauritanian Ouguiya
MUR	Mauritian Rupee
MVR	Maldivian Rufiyaa
MWK	Malawi Kwacha
MXN	Mexican Peso
MYR	Malaysian Ringgit
MZN	Mozambican Metical
NAD	Namibian Dollar
NGN	Nigerian Naira
NIO	Nicaragua Cordoba
NOK	Norwegian Krone
NPR	Nepalese Rupee
NZD	New Zealand Dollar
OMR	Omani Rial
PAB	Panamanian Balboa
PEN	Peruvian Nuevo Sol
PGK	Papua New Guinean Kina
PHP	Philippine Peso
PKR	Pakistani Rupee
PLN	Polish Zloty
PYG	Paraguayan Guarani
QAR	Qatari Riyal
RON	Romanian Leu
RSD	Serbian Dinar
RUB	Russian Ruble
RWF	Rwanda Franc
SAR	Saudi Riyal
SBD	Solomon Islands Dollar
SCR	Seychellois Rupee
SDG	Sudanese Pound
SEK	Swedish Krona
SGD	Singapore Dollar
SHP	Saint Helena Pound
SLL	Sierra Leonean Leone
SOS	Somali Shilling
SRD	Surinamese Dollar
SSP	South Sudanese Pound
STD	Sao Tome and Principe Dobra
SYP	Syrian Pound
SZL	Swazi Lilangeni
THB	Thai Baht
TJS	Tajikistan Somoni
TMT	Turkmenistani Manat
TND	Tunisian Dinar
TOP	Tonga Paanga
TRY	Turkish Lira
TTD	Trinidad and Tobago Dollar
TWD	New Taiwan Dollar
TZS	Tanzanian Shilling
UAH	Ukrainian Hryvnia
UGX	Ugandan Shilling
USD	United States Dollar
UYU	Uruguayan Peso
UZS	Uzbekistan Som
VEF	Venezuelan Bolivar
VND	Vietnamese Dong
VUV	Vanuatu Vatu
WST	Samoan Tala
XAF	Central African CFA franc
XCD	East Caribbean Dollar
XOF	West African CFA franc
XPF	CFP Franc
YER	Yemeni Rial
ZAR	South African Rand
ZMW	Zambian Kwacha
"""
def  __UpperCamelCase    (						snake_case = "USD"							,			snake_case = "INR"							,			snake_case = 1.0							,			snake_case = ""      )    ->		str:


   '''simple docstring'''







   __A    =  locals()
   # from is a reserved keyword
   __A    =  params.pop('''from_'''      )
   __A    =  requests.get(snake_case							,			params=snake_case      ).json()
   return str(res['''amount''']      ) if res["error"] == 0 else res["error_message"]


if __name__ == "__main__":
    _UpperCamelCase       :				Optional[int]           =			os.getenv("""CI""", """""")
    _UpperCamelCase       :				Optional[Any]           =			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,
        )
    )

