
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   =			logging.get_logger(__name__)

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

_A   =			{
    "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   =			{
    "jukebox": 5_12,
}







class 					lowerCamelCase		(  A_  ):
     UpperCAmelCase__    :							Tuple									=		VOCAB_FILES_NAMES
     UpperCAmelCase__    :							Any									=		PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase__    :							Dict									=		PRETRAINED_LYRIC_TOKENS_SIZES
     UpperCAmelCase__    :							str									=		["input_ids", "attention_mask"]





     def __init__(self				:   str    ,   _A				:   List[str]    ,   _A				:   Any    ,   _A				:   Dict    ,   _A				:   str=["v3", "v2", "v2"]    ,   _A				:   int=5_1_2    ,   _A				:   str=5    ,   _A				:   Any="<|endoftext|>"    ,   **_A				:   str    ,   )						->						Any:
         snake_case								= AddedToken(_A    ,   lstrip=_A    ,   rstrip=_A       ) if isinstance(_A    ,   _A       ) else unk_token
         super().__init__(
             unk_token=_A    ,   n_genres=_A    ,   version=_A    ,   max_n_lyric_tokens=_A    ,   **_A    ,   )
         snake_case								= version
         snake_case								= max_n_lyric_tokens
         snake_case								= n_genres

         with open(_A    ,   encoding="utf-8"       ) as vocab_handle:
             snake_case								= json.load(_A       )

         with open(_A    ,   encoding="utf-8"       ) as vocab_handle:
             snake_case								= json.load(_A       )

         with open(_A    ,   encoding="utf-8"       ) as vocab_handle:
             snake_case								= json.load(_A       )

         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       ) == 7_9:
             snake_case								= oov.replace(r"\-'"    ,   r"\-+'"       )

         snake_case								= regex.compile(_A       )
         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				:   List[Any]       )						->						Optional[Any]:
         return len(self.artists_encoder       ) + len(self.genres_encoder       ) + len(self.lyrics_encoder       )





     def 		UpperCAmelCase(self				:   Tuple       )						->						Tuple:
         return dict(self.artists_encoder    ,   self.genres_encoder    ,   self.lyrics_encoder       )





     def 		UpperCAmelCase(self				:   Tuple    ,   _A				:   List[str]    ,   _A				:   Union[str, Any]    ,   _A				:   Union[str, Any]       )						->						List[str]:
         snake_case								= [self.artists_encoder.get(_A    ,   0       ) for artist in list_artists]
         for genres in range(len(_A       )       ):
             snake_case								= [self.genres_encoder.get(_A    ,   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(_A    ,   0       ) for character in list_lyrics[0]], [], []]
         return artists_id, list_genres, lyric_ids





     def 		UpperCAmelCase(self				:   Dict    ,   _A				:   Optional[int]       )						->						int:
         return list(_A       )





     def 		UpperCAmelCase(self				:   Tuple    ,   _A				:   List[Any]    ,   _A				:   Optional[int]    ,   _A				:   List[str]    ,   **_A				:   List[Any]       )						->						Dict:
         snake_case					,							snake_case					,							snake_case								= self.prepare_for_tokenization(_A    ,   _A    ,   _A       )
         snake_case								= self._tokenize(_A       )
         return artist, genre, lyrics





     def 		UpperCAmelCase(self				:   Optional[Any]    ,   _A				:   str    ,   _A				:   str    ,   _A				:   str    ,   _A				:   bool = False       )						->						Tuple[str, str, str, Dict[str, Any]]:
         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(_A       ) + ".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(_A       )       )}
             snake_case								= 0
             snake_case								= len(_A       ) + 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(_A       )
         snake_case								= lyrics.replace("\\"    ,   "\n"       )
         snake_case								= self.out_of_vocab.sub(""    ,   _A       ), [], []
         return artists, genres, lyrics





     def 		UpperCAmelCase(self				:   List[Any]    ,   _A				:   Any       )						->						Dict:
         snake_case								= unicodedata.normalize("NFD"    ,   _A       )
         snake_case								= []
         for char in text:
             snake_case								= unicodedata.category(_A       )
             if cat == "Mn":
                 continue
             output.append(_A       )
         return "".join(_A       )





     def 		UpperCAmelCase(self				:   List[Any]    ,   _A				:   str       )						->						str:
         snake_case								= (
             [chr(_A       ) for i in range(ord("a"       )    ,   ord("z"       ) + 1       )]
             + [chr(_A       ) for i in range(ord("A"       )    ,   ord("Z"       ) + 1       )]
             + [chr(_A       ) for i in range(ord("0"       )    ,   ord("9"       ) + 1       )]
             + ["."]
         )
         snake_case								= frozenset(_A       )
         snake_case								= re.compile(r"_+"       )
         snake_case								= "".join([c if c in accepted else "_" for c in text.lower()]       )
         snake_case								= pattern.sub("_"    ,   _A       ).strip("_"       )
         return text





     def 		UpperCAmelCase(self				:   Optional[Any]    ,   _A				:   List[str]       )						->						str:
         return " ".join(_A       )





     def 		UpperCAmelCase(self				:   Union[str, Any]    ,   _A				:   Tuple    ,   _A				:   Optional[Union[str, TensorType]] = None    ,   _A				:   bool = False       )						->						List[str]:
         # Convert to TensorType
         if not isinstance(_A    ,   _A       ):
             snake_case								= TensorType(_A       )

         # 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(_A       ):
                 snake_case								= as_tensor(_A       )
         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				:   Union[str, Any]    ,   _A				:   List[str]    ,   _A				:   Dict    ,   _A				:   int=""    ,   _A				:   Optional[Any]="pt"       )						->						BatchEncoding:
         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(_A    ,   _A    ,   _A       )
         snake_case					,							snake_case					,							snake_case								= self._convert_token_to_id(_A    ,   _A    ,   _A       )

         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=_A       )
             for i in range(len(self.version       )       )
         ]
         return BatchEncoding({"input_ids": input_ids, "attention_masks": attention_masks}       )





     def 		UpperCAmelCase(self				:   str    ,   _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								= os.path.join(
             _A    ,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["artists_file"]       )
         with open(_A    ,   "w"    ,   encoding="utf-8"       ) as f:
             f.write(json.dumps(self.artists_encoder    ,   ensure_ascii=_A       )       )

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

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

         return (artists_file, genres_file, lyrics_file)





     def 		UpperCAmelCase(self				:   Any    ,   _A				:   List[str]    ,   _A				:   List[str]    ,   _A				:   Any       )						->						List[Any]:
         snake_case								= self.artists_decoder.get(_A       )
         snake_case								= [self.genres_decoder.get(_A       ) for genre in genres_index]
         snake_case								= [self.lyrics_decoder.get(_A       ) for character in lyric_index]
         return artist, genres, lyrics



from __future__ import annotations



def 						lowercase_      (       A__			,		A__			,		A__		)							->							int | float:
    """simple docstring"""

    if len(A__		) == 0:
        raise ValueError("find_max() arg is an empty sequence"		)
    if (
        left >= len(A__		)
        or left < -len(A__		)
        or right >= len(A__		)
        or right < -len(A__		)
    ):
        raise IndexError("list index out of range"		)
    if left == right:
        return nums[left]
    snake_case								= (left + right) >> 1  # the middle
    snake_case								= find_max(A__			,		A__			,		A__		)  # find max in range[left, mid]
    snake_case								= find_max(A__			,		mid + 1			,		A__		)  # find max in range[mid + 1, right]

    return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
   import doctest

   doctest.testmod(verbose=True)

