"""simple docstring"""







import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


_a  :  Dict=				logging.get_logger(__name__)


_a  :  Union[str, Any]=				{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all LED models at https://huggingface.co/models?filter=LED
_a  :  int=				{
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

_a  :  Optional[Any]=				{
    "allenai/led-base-16384": 16_384,
}
@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 						__UpperCAmelCase       (					)							->    Tuple:

	'''simple docstring'''





	__snake_case    :							Tuple   	=				(
	    list(range(ord('!'						)    ,							ord('~'						) + 1						)						) + list(range(ord('¡'						)    ,							ord('¬'						) + 1						)						) + list(range(ord('®'						)    ,							ord('ÿ'						) + 1						)						)
	)
	__snake_case    :							List[str]   	=				bs[:]
	__snake_case    :							Tuple   	=				0
	for b in range(2**8						):
		if b not in bs:
			bs.append(UpperCAmelCase_						)
			cs.append(2**8 + n						)
			n += 1
	__snake_case    :							Tuple   	=				[chr(UpperCAmelCase_						) for n in cs]
	return dict(zip(UpperCAmelCase_    ,							UpperCAmelCase_						)						)
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       int						)							->    Union[str, Any]:

	'''simple docstring'''





	__snake_case    :							List[str]   	=				set()
	__snake_case    :							Optional[Any]   	=				word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)						)
		__snake_case    :							List[Any]   	=				char
	return pairs

class 	UpperCamelCase    (					lowercase		):
				UpperCAmelCase       :   List[Any]					=	VOCAB_FILES_NAMES
				UpperCAmelCase       :   Optional[int]					=	PRETRAINED_VOCAB_FILES_MAP
				UpperCAmelCase       :   Any					=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCAmelCase       :   Union[str, Any]					=	["""input_ids""", """attention_mask"""]



				def __init__(self       :   Optional[int]			,						_A       :   Optional[Any]			,						_A       :   Any			,						_A       :   Optional[Any]="replace"			,						_A       :   Optional[int]="<s>"			,						_A       :   Union[str, Any]="</s>"			,						_A       :   str="</s>"			,						_A       :   List[str]="<s>"			,						_A       :   Optional[int]="<unk>"			,						_A       :   Tuple="<pad>"			,						_A       :   Union[str, Any]="<mask>"			,						_A       :   List[str]=False			,						**_A       :   str			,						)					->			int:
					__snake_case    :							List[Any]   	=				AddedToken(_A			,						lstrip=_A			,						rstrip=_A) if isinstance(_A			,						_A) else bos_token
					__snake_case    :							str   	=				AddedToken(_A			,						lstrip=_A			,						rstrip=_A) if isinstance(_A			,						_A) else eos_token
					__snake_case    :							List[str]   	=				AddedToken(_A			,						lstrip=_A			,						rstrip=_A) if isinstance(_A			,						_A) else sep_token
					__snake_case    :							int   	=				AddedToken(_A			,						lstrip=_A			,						rstrip=_A) if isinstance(_A			,						_A) else cls_token
					__snake_case    :							str   	=				AddedToken(_A			,						lstrip=_A			,						rstrip=_A) if isinstance(_A			,						_A) else unk_token
					__snake_case    :							Union[str, Any]   	=				AddedToken(_A			,						lstrip=_A			,						rstrip=_A) if isinstance(_A			,						_A) else pad_token

					# Mask token behave like a normal word, i.e. include the space before it
					__snake_case    :							Optional[int]   	=				AddedToken(_A			,						lstrip=_A			,						rstrip=_A) if isinstance(_A			,						_A) else mask_token

					super().__init__(
					    errors=_A			,						bos_token=_A			,						eos_token=_A			,						unk_token=_A			,						sep_token=_A			,						cls_token=_A			,						pad_token=_A			,						mask_token=_A			,						add_prefix_space=_A			,						**_A			,						)

					with open(_A			,						encoding='utf-8') as vocab_handle:
						__snake_case    :							Any   	=				json.load(_A)
					__snake_case    :							List[Any]   	=				{v: k for k, v in self.encoder.items()}
					__snake_case    :							List[Any]   	=				errors  # how to handle errors in decoding
					__snake_case    :							Union[str, Any]   	=				bytes_to_unicode()
					__snake_case    :							int   	=				{v: k for k, v in self.byte_encoder.items()}
					with open(_A			,						encoding='utf-8') as merges_handle:
						__snake_case    :							List[Any]   	=				merges_handle.read().split('\n')[1:-1]
					__snake_case    :							str   	=				[tuple(merge.split()) for merge in bpe_merges]
					__snake_case    :							Any   	=				dict(zip(_A			,						range(len(_A))))
					__snake_case    :							List[Any]   	=				{}
					__snake_case    :							Tuple   	=				add_prefix_space

					# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
					__snake_case    :							List[Any]   	=				re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+')



				@property
				# Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
				def       _lowercase  (self       :   Optional[Any])					->			List[str]:
					return len(self.encoder)



				def       _lowercase  (self       :   Dict)					->			List[str]:
					return dict(self.encoder			,						**self.added_tokens_encoder)



				def       _lowercase  (self       :   str			,						_A       :   Dict)					->			Tuple:
					if token in self.cache:
						return self.cache[token]
					__snake_case    :							str   	=				tuple(_A)
					__snake_case    :							Any   	=				get_pairs(_A)

					if not pairs:
						return token

					while True:
						__snake_case    :							Union[str, Any]   	=				min(_A			,						key=lambda _A: self.bpe_ranks.get(_A			,						float('inf')))
						if bigram not in self.bpe_ranks:
							break
						__snake_case	,       __snake_case    :							int   	=				bigram
						__snake_case    :							Optional[Any]   	=				[]
						__snake_case    :							Dict   	=				0
						while i < len(_A):
							try:
								__snake_case    :							int   	=				word.index(_A			,						_A)
							except ValueError:
								new_word.extend(word[i:])
								break
							else:
								new_word.extend(word[i:j])
								__snake_case    :							List[str]   	=				j

							if word[i] == first and i < len(_A) - 1 and word[i + 1] == second:
								new_word.append(first + second)
								i += 2
							else:
								new_word.append(word[i])
								i += 1
						__snake_case    :							str   	=				tuple(_A)
						__snake_case    :							Optional[Any]   	=				new_word
						if len(_A) == 1:
							break
						else:
							__snake_case    :							Tuple   	=				get_pairs(_A)
					__snake_case    :							Optional[int]   	=				' '.join(_A)
					__snake_case    :							Tuple   	=				word
					return word



				def       _lowercase  (self       :   Union[str, Any]			,						_A       :   List[str])					->			Any:
					__snake_case    :							Dict   	=				[]
					for token in re.findall(self.pat			,						_A):
						__snake_case    :							Union[str, Any]   	=				''.join(
						    self.byte_encoder[b] for b in token.encode('utf-8'))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
						bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_A).split(' '))
					return bpe_tokens



				def       _lowercase  (self       :   int			,						_A       :   int)					->			List[str]:
					return self.encoder.get(_A			,						self.encoder.get(self.unk_token))



				def       _lowercase  (self       :   Any			,						_A       :   str)					->			Dict:
					return self.decoder.get(_A)



				def       _lowercase  (self       :   List[Any]			,						_A       :   Tuple)					->			Any:
					__snake_case    :							List[Any]   	=				''.join(_A)
					__snake_case    :							int   	=				bytearray([self.byte_decoder[c] for c in text]).decode('utf-8'			,						errors=self.errors)
					return text



				def       _lowercase  (self       :   Union[str, Any]			,						_A       :   str			,						_A       :   Optional[str] = None)					->			Tuple[str]:
					if not os.path.isdir(_A):
						logger.error(f"Vocabulary path ({save_directory}) should be a directory")
						return
					__snake_case    :							Optional[Any]   	=				os.path.join(
					    _A			,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
					__snake_case    :							Union[str, Any]   	=				os.path.join(
					    _A			,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

					with open(_A			,						'w'			,						encoding='utf-8') as f:
						f.write(json.dumps(self.encoder			,						indent=2			,						sort_keys=_A			,						ensure_ascii=_A) + '\n')

					__snake_case    :							Any   	=				0
					with open(_A			,						'w'			,						encoding='utf-8') as writer:
						writer.write('#version: 0.2\n')
						for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,						key=lambda _A: kv[1]):
							if index != token_index:
								logger.warning(
								    f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
								    ' Please check that the tokenizer is not corrupted!')
								__snake_case    :							Any   	=				token_index
							writer.write(' '.join(_A) + '\n')
							index += 1

					return vocab_file, merge_file



				def       _lowercase  (self       :   Tuple			,						_A       :   List[int]			,						_A       :   Optional[List[int]] = None)					->			List[int]:
					if token_ids_a is None:
						return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					__snake_case    :							Tuple   	=				[self.cls_token_id]
					__snake_case    :							Tuple   	=				[self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep



				def       _lowercase  (self       :   Optional[Any]			,						_A       :   List[int]			,						_A       :   Optional[List[int]] = None			,						_A       :   bool = False)					->			List[int]:
					if already_has_special_tokens:
						return super().get_special_tokens_mask(
						    token_ids_a=_A			,						token_ids_a=_A			,						already_has_special_tokens=_A)

					if token_ids_a is None:
						return [1] + ([0] * len(_A)) + [1]
					return [1] + ([0] * len(_A)) + [1, 1] + ([0] * len(_A)) + [1]



				def       _lowercase  (self       :   Dict			,						_A       :   List[int]			,						_A       :   Optional[List[int]] = None)					->			List[int]:
					__snake_case    :							Union[str, Any]   	=				[self.sep_token_id]
					__snake_case    :							Optional[Any]   	=				[self.cls_token_id]

					if token_ids_a is None:
						return len(cls + token_ids_a + sep) * [0]
					return len(cls + token_ids_a + sep + sep + token_ids_a + sep) * [0]



				def       _lowercase  (self       :   List[Any]			,						_A       :   List[Any]			,						_A       :   Optional[Any]=False			,						**_A       :   Optional[int])					->			Optional[int]:
					__snake_case    :							Union[str, Any]   	=				kwargs.pop('add_prefix_space'			,						self.add_prefix_space)
					if (is_split_into_words or add_prefix_space) and (len(_A) > 0 and not text[0].isspace()):
						__snake_case    :							List[Any]   	=				' ' + text
					return (text, kwargs)






				def       _lowercase  (self       :   Optional[int]			,						_A       :   Union[Dict[str, EncodedInput], BatchEncoding]			,						_A       :   Optional[int] = None			,						_A       :   PaddingStrategy = PaddingStrategy.DO_NOT_PAD			,						_A       :   Optional[int] = None			,						_A       :   Optional[bool] = None			,						)					->			dict:
					__snake_case    :							Tuple   	=				super()._pad(
					    encoded_inputs=_A			,						max_length=_A			,						padding_strategy=_A			,						pad_to_multiple_of=_A			,						return_attention_mask=_A			,						)

					# Load from model defaults
					if return_attention_mask is None:
						__snake_case    :							str   	=				'attention_mask' in self.model_input_names

					if return_attention_mask and "global_attention_mask" in encoded_inputs:
						__snake_case    :							Dict   	=				encoded_inputs[self.model_input_names[0]]
						# `global_attention_mask` need to have the same length as other (sequential) inputs.
						__snake_case    :							int   	=				len(encoded_inputs['global_attention_mask']) != len(_A)

						if needs_to_be_padded:
							__snake_case    :							List[str]   	=				len(_A) - len(encoded_inputs['global_attention_mask'])

							if self.padding_side == "right":
								# Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
								__snake_case    :							Tuple   	=				(
								    encoded_inputs['global_attention_mask'] + [-1] * difference
								)
							elif self.padding_side == "left":
								__snake_case    :							Dict   	=				[-1] * difference + encoded_inputs[
								    'global_attention_mask'
								]
							else:
								raise ValueError('Invalid padding strategy:' + str(self.padding_side))

					return encoded_inputs






"""simple docstring"""







def 						__UpperCAmelCase       (					UpperCAmelCase_					:       list[int]    ,							UpperCAmelCase_					:       str						)							->    list[int]:

	'''simple docstring'''





	__snake_case    :							Union[str, Any]   	=				int(UpperCAmelCase_						)

	# Initialize Result
	__snake_case    :							int   	=				[]

	# Traverse through all denomination
	for denomination in reversed(UpperCAmelCase_						):
		# Find denominations
		while int(UpperCAmelCase_						) >= int(UpperCAmelCase_						):
			total_value -= int(UpperCAmelCase_						)
			answer.append(UpperCAmelCase_						)  # Append the "answers" array

	return answer


# Driver Code
if __name__ == "__main__":
	_a  :  Optional[int]=				[]
	_a  :  Optional[int]=				"0"

	if (
	    input("Do you want to enter your denominations ? (yY/n): ").strip().lower()
	    == "y"
	):
		_a  :  int=				int(input("Enter the number of denominations you want to add: ").strip())

		for i in range(0, n):
			denominations.append(int(input(f'''Denomination {i}: ''').strip()))
		_a  :  Optional[int]=				input("Enter the change you want to make in Indian Currency: ").strip()
	else:
		# All denominations of Indian Currency if user does not enter
		_a  :  Tuple=				[1, 2, 5, 10, 20, 50, 100, 500, 2_000]
		_a  :  List[str]=				input("Enter the change you want to make: ").strip()

	if int(value) == 0 or int(value) < 0:
		print("The total value cannot be zero or negative.")

	else:
		print(f'''Following is minimal change for {value}: ''')
		_a  :  List[Any]=				find_minimum_change(denominations, value)
		# Print result
		for i in range(len(answer)):
			print(answer[i], end=" ")





