


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


UpperCAmelCase      =   logging.get_logger(__name__)

UpperCAmelCase      =   {
    """artists_file""": """artists.json""",
    """lyrics_file""": """lyrics.json""",
    """genres_file""": """genres.json""",
}

UpperCAmelCase      =   {
    """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""",
    },
}

UpperCAmelCase      =   {
    """jukebox""": 512,
}







class lowerCAmelCase_						(			lowerCamelCase__	):

 '''simple docstring'''

 __snake_case												=  VOCAB_FILES_NAMES
 __snake_case												=  PRETRAINED_VOCAB_FILES_MAP
 __snake_case												=  PRETRAINED_LYRIC_TOKENS_SIZES
 __snake_case												=  ["input_ids", "attention_mask"]



 def __init__(     self		,				_UpperCAmelCase		,				_UpperCAmelCase		,				_UpperCAmelCase		,				_UpperCAmelCase=["v3", "v2", "v2"]		,				_UpperCAmelCase=5_12		,				_UpperCAmelCase=5		,				_UpperCAmelCase="<|endoftext|>"		,				**_UpperCAmelCase		,				):
       snake_case_	=				AddedToken(_UpperCAmelCase		,				lstrip=_UpperCAmelCase		,				rstrip=_UpperCAmelCase ) if isinstance(_UpperCAmelCase		,				_UpperCAmelCase ) else unk_token
       super().__init__(
           unk_token=_UpperCAmelCase		,				n_genres=_UpperCAmelCase		,				version=_UpperCAmelCase		,				max_n_lyric_tokens=_UpperCAmelCase		,				**_UpperCAmelCase		,				)
       snake_case_	=				version
       snake_case_	=				max_n_lyric_tokens
       snake_case_	=				n_genres

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

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

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

       snake_case_	=				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 ) == 79:
             snake_case_	=				oov.replace(R'''\-\''''		,				R'''\-+\'''' )

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



 @property
 def 						UpperCamelCase__					(     self ):
       return len(self.artists_encoder ) + len(self.genres_encoder ) + len(self.lyrics_encoder )



 def 						UpperCamelCase__					(     self ):
       return dict(self.artists_encoder		,				self.genres_encoder		,				self.lyrics_encoder )



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

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



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase ):
       return list(_UpperCAmelCase )



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				_UpperCAmelCase		,				_UpperCAmelCase		,				**_UpperCAmelCase ):
       snake_case_	,   snake_case_	,   snake_case_	=				self.prepare_for_tokenization(_UpperCAmelCase		,				_UpperCAmelCase		,				_UpperCAmelCase )
       snake_case_	=				self._tokenize(_UpperCAmelCase )
       return artist, genre, lyrics



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

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

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



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase ):
       snake_case_	=				unicodedata.normalize('''NFD'''		,				_UpperCAmelCase )
       snake_case_	=				[]
       for char in text:
             snake_case_	=				unicodedata.category(_UpperCAmelCase )
             if cat == "Mn":
                   continue
             output.append(_UpperCAmelCase )
       return "".join(_UpperCAmelCase )



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



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase ):
       return " ".join(_UpperCAmelCase )



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				_UpperCAmelCase = None		,				_UpperCAmelCase = False ):
       # Convert to TensorType
       if not isinstance(_UpperCAmelCase		,				_UpperCAmelCase ):
             snake_case_	=				TensorType(_UpperCAmelCase )

       # 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

             snake_case_	=				tf.constant
             snake_case_	=				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

             snake_case_	=				torch.tensor
             snake_case_	=				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

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

       # Do the tensor conversion in batch

       try:
             if prepend_batch_axis:
                   snake_case_	=				[inputs]

             if not is_tensor(_UpperCAmelCase ):
                   snake_case_	=				as_tensor(_UpperCAmelCase )
       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		,				_UpperCAmelCase		,				_UpperCAmelCase		,				_UpperCAmelCase=""		,				_UpperCAmelCase="pt" ):
       snake_case_	=				[0, 0, 0]
       snake_case_	=				[artist] * len(self.version )
       snake_case_	=				[genres] * len(self.version )

       snake_case_	,   snake_case_	,   snake_case_	=				self.tokenize(_UpperCAmelCase		,				_UpperCAmelCase		,				_UpperCAmelCase )
       snake_case_	,   snake_case_	,   snake_case_	=				self._convert_token_to_id(_UpperCAmelCase		,				_UpperCAmelCase		,				_UpperCAmelCase )

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



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				_UpperCAmelCase = None ):
       if not os.path.isdir(_UpperCAmelCase ):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
             return

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

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

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

       return (artists_file, genres_file, lyrics_file)





 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				_UpperCAmelCase		,				_UpperCAmelCase ):
       snake_case_	=				self.artists_decoder.get(_UpperCAmelCase )
       snake_case_	=				[self.genres_decoder.get(_UpperCAmelCase ) for genre in genres_index]
       snake_case_	=				[self.lyrics_decoder.get(_UpperCAmelCase ) for character in lyric_index]
       return artist, genres, lyrics



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase      =   {"""configuration_vit_msn""": ["""VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTMSNConfig"""]}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase      =   [
       """VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """ViTMSNModel""",
       """ViTMSNForImageClassification""",
       """ViTMSNPreTrainedModel""",
   ]

if TYPE_CHECKING:
   from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vit_msn import (
          VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
          ViTMSNForImageClassification,
          ViTMSNModel,
          ViTMSNPreTrainedModel,
      )

else:
   import sys

   UpperCAmelCase      =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)