

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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


A_	:			Tuple  	=      logging.get_logger(__name__)


A_	:			str  	=      {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

A_	:			int  	=      {
    'vocab_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
    },
}

A_	:			Tuple  	=      {
    'allenai/longformer-base-4096': 4096,
    'allenai/longformer-large-4096': 4096,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4096,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4096,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4096,
}

@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 						UpperCamelCase ()					->				Any:
	A__							:   Optional[int]					       =		(
	    list(range(ord("""!""" )   ,				ord("""~""" ) + 1 ) ) + list(range(ord("""¡""" )   ,				ord("""¬""" ) + 1 ) ) + list(range(ord("""®""" )   ,				ord("""ÿ""" ) + 1 ) )
	)
	A__							:   List[Any]					       =		bs[:]
	A__							:   Optional[int]					       =		0
	for b in range(2**8 ):
		if b not in bs:
			bs.append(lowercase_ )
			cs.append(2**8 + n )
			n += 1
	A__							:   List[Any]					       =		[chr(lowercase_ ) for n in cs]
	return dict(zip(lowercase_   ,				lowercase_ ) )

def 						UpperCamelCase (lowercase_:			int )					->				List[str]:
	A__							:   Tuple					       =		set()
	A__							:   List[str]					       =		word[0]
	for char in word[1:]:
		pairs.add((prev_char, char) )
		A__							:   Optional[int]					       =		char
	return pairs



class    _a						(__magic_name__    ):


					'''simple docstring'''






					UpperCAmelCase__:       Any  							=	VOCAB_FILES_NAMES
					UpperCAmelCase__:       Dict  							=	PRETRAINED_VOCAB_FILES_MAP
					UpperCAmelCase__:       List[str]  							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCAmelCase__:       Union[str, Any]  							=	['''input_ids''', '''attention_mask''']






					def __init__(			self   ,	A__   ,	A__   ,	A__="replace"   ,	A__="<s>"   ,	A__="</s>"   ,	A__="</s>"   ,	A__="<s>"   ,	A__="<unk>"   ,	A__="<pad>"   ,	A__="<mask>"   ,	A__=False   ,	**A__   ,	):
						A__							:   Any					       =		AddedToken(A__   ,	lstrip=A__   ,	rstrip=A__      ) if isinstance(A__   ,	A__      ) else bos_token
						A__							:   Optional[Any]					       =		AddedToken(A__   ,	lstrip=A__   ,	rstrip=A__      ) if isinstance(A__   ,	A__      ) else eos_token
						A__							:   Any					       =		AddedToken(A__   ,	lstrip=A__   ,	rstrip=A__      ) if isinstance(A__   ,	A__      ) else sep_token
						A__							:   List[Any]					       =		AddedToken(A__   ,	lstrip=A__   ,	rstrip=A__      ) if isinstance(A__   ,	A__      ) else cls_token
						A__							:   List[str]					       =		AddedToken(A__   ,	lstrip=A__   ,	rstrip=A__      ) if isinstance(A__   ,	A__      ) else unk_token
						A__							:   Tuple					       =		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
						A__							:   Union[str, Any]					       =		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:
							A__							:   Optional[int]					       =		json.load(A__      )
						A__							:   List[str]					       =		{v: k for k, v in self.encoder.items()}
						A__							:   Dict					       =		errors  # how to handle errors in decoding
						A__							:   List[Any]					       =		bytes_to_unicode()
						A__							:   Dict					       =		{v: k for k, v in self.byte_encoder.items()}
						with open(A__   ,	encoding="""utf-8"""      ) as merges_handle:
							A__							:   Optional[int]					       =		merges_handle.read().split("""\n"""      )[1:-1]
						A__							:   Optional[int]					       =		[tuple(merge.split()      ) for merge in bpe_merges]
						A__							:   List[Any]					       =		dict(zip(A__   ,	range(len(A__      )      )      )      )
						A__							:   Optional[int]					       =		{}
						A__							:   Any					       =		add_prefix_space

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






					@property
					def   __A      (			self      ):
						return len(self.encoder      )






					def   __A      (			self      ):
						return dict(self.encoder   ,	**self.added_tokens_encoder      )






					def   __A      (			self   ,	A__      ):
						if token in self.cache:
							return self.cache[token]
						A__							:   Optional[Any]					       =		tuple(A__      )
						A__							:   int					       =		get_pairs(A__      )

						if not pairs:
							return token

						while True:
							A__							:   Tuple					       =		min(A__   ,	key=lambda A__      : self.bpe_ranks.get(A__   ,	float("""inf"""      )      )      )
							if bigram not in self.bpe_ranks:
								break
							A__       ,       A__							:   Optional[int]					       =		bigram
							A__							:   Union[str, Any]					       =		[]
							A__							:   List[Any]					       =		0
							while i < len(A__      ):
								try:
									A__							:   List[str]					       =		word.index(A__   ,	A__      )
								except ValueError:
									new_word.extend(word[i:]      )
									break
								else:
									new_word.extend(word[i:j]      )
									A__							:   Optional[Any]					       =		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
							A__							:   str					       =		tuple(A__      )
							A__							:   List[str]					       =		new_word
							if len(A__      ) == 1:
								break
							else:
								A__							:   Any					       =		get_pairs(A__      )
						A__							:   Tuple					       =		""" """.join(A__      )
						A__							:   List[str]					       =		word
						return word






					def   __A      (			self   ,	A__      ):
						A__							:   List[str]					       =		[]
						for token in re.findall(self.pat   ,	A__      ):
							A__							:   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   __A      (			self   ,	A__      ):
						return self.encoder.get(A__   ,	self.encoder.get(self.unk_token      )      )






					def   __A      (			self   ,	A__      ):
						return self.decoder.get(A__      )






					def   __A      (			self   ,	A__      ):
						A__							:   List[str]					       =		"""""".join(A__      )
						A__							:   Any					       =		bytearray([self.byte_decoder[c] for c in text]      ).decode("""utf-8"""   ,	errors=self.errors      )
						return text






					def   __A      (			self   ,	A__   ,	A__ = None      ):
						if not os.path.isdir(A__      ):
							logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""      )
							return
						A__							:   List[str]					       =		os.path.join(
						    A__   ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]      )
						A__							:   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"""      )

						A__							:   Union[str, 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!"""      )
									A__							:   str					       =		token_index
								writer.write(""" """.join(A__      ) + """\n"""      )
								index += 1

						return vocab_file, merge_file






					def   __A      (			self   ,	A__   ,	A__ = None      ):
						if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						A__							:   Tuple					       =		[self.cls_token_id]
						A__							:   Tuple					       =		[self.sep_token_id]
						return cls + token_ids_a + sep + sep + token_ids_a + sep






					def   __A      (			self   ,	A__   ,	A__ = None   ,	A__ = False      ):
						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   __A      (			self   ,	A__   ,	A__ = None      ):
						A__							:   int					       =		[self.sep_token_id]
						A__							:   List[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   __A      (			self   ,	A__   ,	A__=False   ,	**A__      ):
						A__							:   Tuple					       =		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()):
							A__							:   Dict					       =		""" """ + text
						return (text, kwargs)






import requests

A_	:			List[Any]  	=      'YOUR API KEY'

def 						UpperCamelCase (lowercase_:			str   ,				lowercase_:			str = giphy_api_key )					->				list:
	A__							:   Dict					       =		"""+""".join(query.split() )
	A__							:   Optional[int]					       =		f"""https://api.giphy.com/v1/gifs/search?q={formatted_query}&api_key={api_key}"""
	A__							:   Any					       =		requests.get(lowercase_ ).json()["""data"""]
	return [gif["url"] for gif in gifs]


if __name__ == "__main__":
	print('\n'.join(get_gifs('space ship')))



