





import json
import os
import re
import unicodedata
from json.encoder import INFINITY
from typing import Any, Dict, List, Optional, Tuple, Union

import numpy as np
import regex

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding
from ...utils import TensorType, is_flax_available, is_tf_available, is_torch_available, logging
from ...utils.generic import _is_jax, _is_numpy


a__      :     int         =		logging.get_logger(__name__)

a__      :     List[str]         =		{
    'artists_file': 'artists.json',
    'lyrics_file': 'lyrics.json',
    'genres_file': 'genres.json',
}

a__      :     Optional[Any]         =		{
    'artists_file': {
        'jukebox': 'https://huggingface.co/ArthurZ/jukebox/blob/main/artists.json',
    },
    'genres_file': {
        'jukebox': 'https://huggingface.co/ArthurZ/jukebox/blob/main/genres.json',
    },
    'lyrics_file': {
        'jukebox': 'https://huggingface.co/ArthurZ/jukebox/blob/main/lyrics.json',
    },
}

a__      :     Union[str, Any]         =		{
    'jukebox': 512,
}





class UpperCAmelCase_				( _SCREAMING_SNAKE_CASE ):
  __lowerCAmelCase   :						int							=   VOCAB_FILES_NAMES
  __lowerCAmelCase   :						List[Any]							=   PRETRAINED_VOCAB_FILES_MAP
  __lowerCAmelCase   :						Optional[int]							=   PRETRAINED_LYRIC_TOKENS_SIZES
  __lowerCAmelCase   :						Any							=   ["""input_ids""", """attention_mask"""]


  def __init__(							self ,__snake_case ,__snake_case ,__snake_case ,__snake_case=["v3", "v2", "v2"] ,__snake_case=5_1_2 ,__snake_case=5 ,__snake_case="<|endoftext|>" ,**__snake_case ,):



       """simple docstring"""





       A_          =       AddedToken(__snake_case ,lstrip=__snake_case ,rstrip=__snake_case ) if isinstance(__snake_case ,__snake_case ) else unk_token
       super().__init__(
           unk_token=__snake_case ,n_genres=__snake_case ,version=__snake_case ,max_n_lyric_tokens=__snake_case ,**__snake_case ,)
       A_          =       version
       A_          =       max_n_lyric_tokens
       A_          =       n_genres

       with open(__snake_case ,encoding='''utf-8''' ) as vocab_handle:
            A_          =       json.load(__snake_case )

       with open(__snake_case ,encoding='''utf-8''' ) as vocab_handle:
            A_          =       json.load(__snake_case )

       with open(__snake_case ,encoding='''utf-8''' ) as vocab_handle:
            A_          =       json.load(__snake_case )

       A_          =       R'''[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+'''
       # In v2, we had a n_vocab=80 and in v3 we missed + and so n_vocab=79 of characters.
       if len(self.lyrics_encoder ) == 7_9:
            A_          =       oov.replace(R'''\-\'''' ,R'''\-+\'''' )

       A_          =       regex.compile(__snake_case )
       A_          =       {v: k for k, v in self.artists_encoder.items()}
       A_          =       {v: k for k, v in self.genres_encoder.items()}
       A_          =       {v: k for k, v in self.lyrics_encoder.items()}


  @property
  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       return len(self.artists_encoder ) + len(self.genres_encoder ) + len(self.lyrics_encoder )


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       return dict(self.artists_encoder ,self.genres_encoder ,self.lyrics_encoder )


  def 						__UpperCAmelCase     (							self ,__snake_case ,__snake_case ,__snake_case ):



       """simple docstring"""





       A_          =       [self.artists_encoder.get(__snake_case ,0 ) for artist in list_artists]
       for genres in range(len(__snake_case ) ):
            A_          =       [self.genres_encoder.get(__snake_case ,0 ) for genre in list_genres[genres]]
            A_          =       list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres] ))

       A_          =       [[self.lyrics_encoder.get(__snake_case ,0 ) for character in list_lyrics[0]], [], []]
       return artists_id, list_genres, lyric_ids


  def 						__UpperCAmelCase     (							self ,__snake_case ):



       """simple docstring"""





       return list(__snake_case )


  def 						__UpperCAmelCase     (							self ,__snake_case ,__snake_case ,__snake_case ,**__snake_case ):



       """simple docstring"""





       A_   ,    A_   ,    A_          =       self.prepare_for_tokenization(__snake_case ,__snake_case ,__snake_case )
       A_          =       self._tokenize(__snake_case )
       return artist, genre, lyrics


  def 						__UpperCAmelCase     (							self ,__snake_case ,__snake_case ,__snake_case ,__snake_case = False ):



       """simple docstring"""





       for idx in range(len(self.version ) ):
            if self.version[idx] == "v3":
                 A_          =       artists[idx].lower()
                 A_          =       [genres[idx].lower()]
            else:
                 A_          =       self._normalize(artists[idx] ) + '''.v2'''
                 A_          =       [
                     self._normalize(__snake_case ) + '''.v2''' for genre in genres[idx].split('''_''' )
                 ]  # split is for the full dictionary with combined genres

       if self.version[0] == "v2":
            A_          =       regex.compile(R'''[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+''' )
            A_          =       '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789.,:;!?-+\'\"()[] \t\n'''
            A_          =       {vocab[index]: index + 1 for index in range(len(__snake_case ) )}
            A_          =       0
            A_          =       len(__snake_case ) + 1
            A_          =       self.vocab
            A_          =       {v: k for k, v in self.vocab.items()}
            A_          =       ''''''
       else:
            A_          =       regex.compile(R'''[^A-Za-z0-9.,:;!?\-+\'\"()\[\] \t\n]+''' )

       A_          =       self._run_strip_accents(__snake_case )
       A_          =       lyrics.replace('''\\''' ,'''\n''' )
       A_          =       self.out_of_vocab.sub('''''' ,__snake_case ), [], []
       return artists, genres, lyrics


  def 						__UpperCAmelCase     (							self ,__snake_case ):



       """simple docstring"""





       A_          =       unicodedata.normalize('''NFD''' ,__snake_case )
       A_          =       []
       for char in text:
            A_          =       unicodedata.category(__snake_case )
            if cat == "Mn":
                 continue
            output.append(__snake_case )
       return "".join(__snake_case )


  def 						__UpperCAmelCase     (							self ,__snake_case ):



       """simple docstring"""





       A_          =       (
           [chr(__snake_case ) for i in range(ord('''a''' ) ,ord('''z''' ) + 1 )]
           + [chr(__snake_case ) for i in range(ord('''A''' ) ,ord('''Z''' ) + 1 )]
           + [chr(__snake_case ) for i in range(ord('''0''' ) ,ord('''9''' ) + 1 )]
           + ['''.''']
       )
       A_          =       frozenset(__snake_case )
       A_          =       re.compile(R'''_+''' )
       A_          =       ''''''.join([c if c in accepted else '''_''' for c in text.lower()] )
       A_          =       pattern.sub('''_''' ,__snake_case ).strip('''_''' )
       return text


  def 						__UpperCAmelCase     (							self ,__snake_case ):



       """simple docstring"""





       return " ".join(__snake_case )


  def 						__UpperCAmelCase     (							self ,__snake_case ,__snake_case = None ,__snake_case = False ):



       """simple docstring"""





       if not isinstance(__snake_case ,__snake_case ):
            A_          =       TensorType(__snake_case )

       # Get a function reference for the correct framework
       if tensor_type == TensorType.TENSORFLOW:
            if not is_tf_available():
                 raise ImportError(
                     '''Unable to convert output to TensorFlow tensors format, TensorFlow is not installed.''' )
            import tensorflow as tf

            A_          =       tf.constant
            A_          =       tf.is_tensor
       elif tensor_type == TensorType.PYTORCH:
            if not is_torch_available():
                 raise ImportError('''Unable to convert output to PyTorch tensors format, PyTorch is not installed.''' )
            import torch

            A_          =       torch.tensor
            A_          =       torch.is_tensor
       elif tensor_type == TensorType.JAX:
            if not is_flax_available():
                 raise ImportError('''Unable to convert output to JAX tensors format, JAX is not installed.''' )
            import jax.numpy as jnp  # noqa: F811

            A_          =       jnp.array
            A_          =       _is_jax
       else:
            A_          =       np.asarray
            A_          =       _is_numpy

       # Do the tensor conversion in batch

       try:
            if prepend_batch_axis:
                 A_          =       [inputs]

            if not is_tensor(__snake_case ):
                 A_          =       as_tensor(__snake_case )
       except:  # noqa E722
            raise ValueError(
                '''Unable to create tensor, you should probably activate truncation and/or padding '''
                '''with \'padding=True\' \'truncation=True\' to have batched tensors with the same length.''' )

       return inputs


  def __call__(							self ,__snake_case ,__snake_case ,__snake_case="" ,__snake_case="pt" ):



       """simple docstring"""





       A_          =       [0, 0, 0]
       A_          =       [artist] * len(self.version )
       A_          =       [genres] * len(self.version )

       A_   ,    A_   ,    A_          =       self.tokenize(__snake_case ,__snake_case ,__snake_case )
       A_   ,    A_   ,    A_          =       self._convert_token_to_id(__snake_case ,__snake_case ,__snake_case )

       A_          =       [-INFINITY] * len(full_tokens[-1] )
       A_          =       [
           self.convert_to_tensors(
               [input_ids + [artists_id[i]] + genres_ids[i] + full_tokens[i]] ,tensor_type=__snake_case )
           for i in range(len(self.version ) )
       ]
       return BatchEncoding({'''input_ids''': input_ids, '''attention_masks''': attention_masks} )


  def 						__UpperCAmelCase     (							self ,__snake_case ,__snake_case = None ):



       """simple docstring"""





       if not os.path.isdir(__snake_case ):
            logger.error(f'Vocabulary path ({save_directory}) should be a directory' )
            return

       A_          =       os.path.join(
           __snake_case ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''artists_file'''] )
       with open(__snake_case ,'''w''' ,encoding='''utf-8''' ) as f:
            f.write(json.dumps(self.artists_encoder ,ensure_ascii=__snake_case ) )

       A_          =       os.path.join(
           __snake_case ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''genres_file'''] )
       with open(__snake_case ,'''w''' ,encoding='''utf-8''' ) as f:
            f.write(json.dumps(self.genres_encoder ,ensure_ascii=__snake_case ) )

       A_          =       os.path.join(
           __snake_case ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''lyrics_file'''] )
       with open(__snake_case ,'''w''' ,encoding='''utf-8''' ) as f:
            f.write(json.dumps(self.lyrics_encoder ,ensure_ascii=__snake_case ) )

       return (artists_file, genres_file, lyrics_file)




  def 						__UpperCAmelCase     (							self ,__snake_case ,__snake_case ,__snake_case ):



       """simple docstring"""





       A_          =       self.artists_decoder.get(__snake_case )
       A_          =       [self.genres_decoder.get(__snake_case ) for genre in genres_index]
       A_          =       [self.lyrics_decoder.get(__snake_case ) for character in lyric_index]
       return artist, genres, lyrics










import requests

a__      :     Any         =		'YOUR API KEY'

def      UpperCAmelCase_    (    _UpperCAmelCase							:str  ,						_UpperCAmelCase							:str = giphy_api_key				)	->				list:
     '''simple docstring'''


     A_          =       '''+'''.join(query.split()				)
     A_          =       f'https://api.giphy.com/v1/gifs/search?q={formatted_query}&api_key={api_key}'
     A_          =       requests.get(_UpperCAmelCase				).json()['''data''']
     return [gif["url"] for gif in gifs]


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



