



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 		snake_case    (						A__	):



   '''simple docstring'''






   snake_case_       :			List[Any]        =		VOCAB_FILES_NAMES
   snake_case_       :			Optional[Any]        =		PRETRAINED_VOCAB_FILES_MAP
   snake_case_       :			Dict        =		PRETRAINED_LYRIC_TOKENS_SIZES
   snake_case_       :			Optional[Any]        =		["""input_ids""", """attention_mask"""]

   def __init__(       self				:      int					,		lowerCAmelCase				:      str					,		lowerCAmelCase				:      int					,		lowerCAmelCase				:      Union[str, Any]					,		lowerCAmelCase				:      Union[str, Any]=["v3", "v2", "v2"]					,		lowerCAmelCase				:      Optional[Any]=512					,		lowerCAmelCase				:      Dict=5					,		lowerCAmelCase				:      int="<|endoftext|>"					,		**lowerCAmelCase				:      Tuple					,		)					->					Optional[int]:

    """simple docstring"""







    _snake_case     :	Union[str, Any]											=       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_					,		)
    _snake_case     :	Tuple											=       version
    _snake_case     :	List[Any]											=       max_n_lyric_tokens
    _snake_case     :	Any											=       n_genres

    with open(snake_case_					,		encoding="""utf-8""") as vocab_handle:
     _snake_case     :	str											=       json.load(snake_case_)

    with open(snake_case_					,		encoding="""utf-8""") as vocab_handle:
     _snake_case     :	Tuple											=       json.load(snake_case_)

    with open(snake_case_					,		encoding="""utf-8""") as vocab_handle:
     _snake_case     :	Union[str, Any]											=       json.load(snake_case_)

    _snake_case     :	Tuple											=       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     :	Tuple											=       oov.replace(r"""\-'"""					,		r"""\-+'""")

    _snake_case     :	Optional[int]											=       regex.compile(snake_case_)
    _snake_case     :	Optional[int]											=       {v: k for k, v in self.artists_encoder.items()}
    _snake_case     :	str											=       {v: k for k, v in self.genres_encoder.items()}
    _snake_case     :	Optional[Any]											=       {v: k for k, v in self.lyrics_encoder.items()}

   @property
   def   UpperCamelCase_	(       self				:      Dict)					->					Any:

    """simple docstring"""







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

   def   UpperCamelCase_	(       self				:      Optional[int])					->					Optional[Any]:

    """simple docstring"""







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

   def   UpperCamelCase_	(       self				:      List[Any]					,		lowerCAmelCase				:      str					,		lowerCAmelCase				:      Union[str, Any]					,		lowerCAmelCase				:      str)					->					Tuple:

    """simple docstring"""







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

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

   def   UpperCamelCase_	(       self				:      Any					,		lowerCAmelCase				:      Union[str, Any])					->					Union[str, Any]:

    """simple docstring"""







    return list(snake_case_)

   def   UpperCamelCase_	(       self				:      Optional[Any]					,		lowerCAmelCase				:      Optional[Any]					,		lowerCAmelCase				:      List[str]					,		lowerCAmelCase				:      Any					,		**lowerCAmelCase				:      List[str])					->					Union[str, Any]:

    """simple docstring"""







    _snake_case						,     _snake_case						,     _snake_case     :	int											=       self.prepare_for_tokenization(snake_case_					,		snake_case_					,		snake_case_)
    _snake_case     :	List[str]											=       self._tokenize(snake_case_)
    return artist, genre, lyrics

   def   UpperCamelCase_	(       self				:      List[Any]					,		lowerCAmelCase				:      Union[str, Any]					,		lowerCAmelCase				:      Optional[Any]					,		lowerCAmelCase				:      Optional[int]					,		lowerCAmelCase				:      Optional[int] = False)					->					Tuple[str, str, str, Dict[str, Any]]:

    """simple docstring"""







    for idx in range(len(self.version)):
     if self.version[idx] == "v3":
      _snake_case     :	Optional[int]											=       artists[idx].lower()
      _snake_case     :	Tuple											=       [genres[idx].lower()]
     else:
      _snake_case     :	Dict											=       self._normalize(artists[idx]) + """.v2"""
      _snake_case     :	Optional[int]											=       [
          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":
     _snake_case     :	int											=       regex.compile(r"""[^A-Za-z0-9.,:;!?\-'\"()\[\] \t\n]+""")
     _snake_case     :	Dict											=       """ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789.,:;!?-+'\"()[] \t\n"""
     _snake_case     :	Optional[Any]											=       {vocab[index]: index + 1 for index in range(len(snake_case_))}
     _snake_case     :	str											=       0
     _snake_case     :	Tuple											=       len(snake_case_) + 1
     _snake_case     :	Optional[int]											=       self.vocab
     _snake_case     :	Optional[int]											=       {v: k for k, v in self.vocab.items()}
     _snake_case     :	str											=       """"""
    else:
     _snake_case     :	int											=       regex.compile(r"""[^A-Za-z0-9.,:;!?\-+'\"()\[\] \t\n]+""")

    _snake_case     :	str											=       self._run_strip_accents(snake_case_)
    _snake_case     :	Optional[Any]											=       lyrics.replace("""\\"""					,		"""\n""")
    _snake_case     :	Dict											=       self.out_of_vocab.sub(""""""					,		snake_case_), [], []
    return artists, genres, lyrics

   def   UpperCamelCase_	(       self				:      Any					,		lowerCAmelCase				:      Any)					->					Tuple:

    """simple docstring"""







    _snake_case     :	int											=       unicodedata.normalize("""NFD"""					,		snake_case_)
    _snake_case     :	Dict											=       []
    for char in text:
     _snake_case     :	Union[str, Any]											=       unicodedata.category(snake_case_)
     if cat == "Mn":
      continue
     output.append(snake_case_)
    return "".join(snake_case_)

   def   UpperCamelCase_	(       self				:      Union[str, Any]					,		lowerCAmelCase				:      Tuple)					->					str:

    """simple docstring"""







    _snake_case     :	Dict											=       (
        [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)]
        + ["""."""]
    )
    _snake_case     :	List[Any]											=       frozenset(snake_case_)
    _snake_case     :	Tuple											=       re.compile(r"""_+""")
    _snake_case     :	Any											=       """""".join([c if c in accepted else """_""" for c in text.lower()])
    _snake_case     :	Union[str, Any]											=       pattern.sub("""_"""					,		snake_case_).strip("""_""")
    return text

   def   UpperCamelCase_	(       self				:      Optional[int]					,		lowerCAmelCase				:      Tuple)					->					str:

    """simple docstring"""







    return " ".join(snake_case_)

   def   UpperCamelCase_	(       self				:      str					,		lowerCAmelCase				:      Any					,		lowerCAmelCase				:      int = None					,		lowerCAmelCase				:      Dict = False)					->					Any:

    """simple docstring"""







    if not isinstance(snake_case_					,		snake_case_):
     _snake_case     :	Optional[Any]											=       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

     _snake_case     :	Union[str, Any]											=       tf.constant
     _snake_case     :	Dict											=       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     :	List[Any]											=       torch.tensor
     _snake_case     :	Dict											=       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     :	Optional[int]											=       jnp.array
     _snake_case     :	int											=       _is_jax
    else:
     _snake_case     :	Optional[Any]											=       np.asarray
     _snake_case     :	Dict											=       _is_numpy

    # Do the tensor conversion in batch

    try:
     if prepend_batch_axis:
      _snake_case     :	Dict											=       [inputs]

     if not is_tensor(snake_case_):
      _snake_case     :	List[str]											=       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				:      List[str]					,		lowerCAmelCase				:      Optional[Any]					,		lowerCAmelCase				:      List[Any]					,		lowerCAmelCase				:      Union[str, Any]=""					,		lowerCAmelCase				:      Optional[Any]="pt")					->					BatchEncoding:

    """simple docstring"""







    _snake_case     :	int											=       [0, 0, 0]
    _snake_case     :	Optional[Any]											=       [artist] * len(self.version)
    _snake_case     :	Tuple											=       [genres] * len(self.version)

    _snake_case						,     _snake_case						,     _snake_case     :	Optional[int]											=       self.tokenize(snake_case_					,		snake_case_					,		snake_case_)
    _snake_case						,     _snake_case						,     _snake_case     :	Dict											=       self._convert_token_to_id(snake_case_					,		snake_case_					,		snake_case_)

    _snake_case     :	Optional[int]											=       [-INFINITY] * len(full_tokens[-1])
    _snake_case     :	List[str]											=       [
        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				:      Union[str, Any]					,		lowerCAmelCase				:      List[str]					,		lowerCAmelCase				:      Dict = None)					->					Tuple[str]:

    """simple docstring"""







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

    _snake_case     :	Any											=       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_))

    _snake_case     :	Optional[int]											=       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_))

    _snake_case     :	Any											=       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				:      Optional[int]					,		lowerCAmelCase				:      Union[str, Any]					,		lowerCAmelCase				:      List[Any]					,		lowerCAmelCase				:      Tuple)					->					Tuple:

    """simple docstring"""







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


"""simple docstring"""
import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
SCREAMING_SNAKE_CASE_					     =	[
    '''kernels/rwkv/wkv_cuda.cu''',
    '''kernels/rwkv/wkv_op.cpp''',
    '''kernels/deformable_detr/ms_deform_attn.h''',
    '''kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh''',
    '''models/graphormer/algos_graphormer.pyx''',
]

def  lowercase     (_lowerCAmelCase						):
						# Test all the extensions added in the setup
						for file in FILES_TO_FIND:
												if not (transformers_path / file).exists():
																		return False
						return True


if __name__ == "__main__":
			SCREAMING_SNAKE_CASE_					     =	argparse.ArgumentParser()
			parser.add_argument('''--check_lib''', action='''store_true''', help='''Whether to check the build or the actual package.''')
			SCREAMING_SNAKE_CASE_					     =	parser.parse_args()
			if args.check_lib:
						SCREAMING_SNAKE_CASE_					     =	importlib.import_module('''transformers''')
						SCREAMING_SNAKE_CASE_					     =	Path(transformers_module.__file__).parent
			else:
						SCREAMING_SNAKE_CASE_					     =	Path.cwd() / '''build/lib/transformers'''
			if not test_custom_files_are_present(transformers_path):
						raise ValueError('''The built release does not contain the custom files. Fix this before going further!''')
