




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


lowerCAmelCase_					    = logging.get_logger(__name__)

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

lowerCAmelCase_					    = {
    """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""",
    },
}

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






class  _lowerCAmelCase     (  _lowercase	):
      A__		     =		VOCAB_FILES_NAMES
      A__		     =		PRETRAINED_VOCAB_FILES_MAP
      A__		     =		PRETRAINED_LYRIC_TOKENS_SIZES
      A__		     =		['input_ids', 'attention_mask']

      def __init__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase=["v3", "v2", "v2"]      ,				__UpperCAmelCase=512      ,				__UpperCAmelCase=5      ,				__UpperCAmelCase="<|endoftext|>"      ,				**__UpperCAmelCase      ,				):
        lowerCAmelCase__				:  str		       =     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      ,				)
        lowerCAmelCase__				:  Optional[Any]		       =     version
        lowerCAmelCase__				:  List[str]		       =     max_n_lyric_tokens
        lowerCAmelCase__				:  List[Any]		       =     n_genres

        with open(__UpperCAmelCase      ,				encoding='''utf-8'''		) as vocab_handle:
          lowerCAmelCase__				:  List[Any]		       =     json.load(__UpperCAmelCase		)

        with open(__UpperCAmelCase      ,				encoding='''utf-8'''		) as vocab_handle:
          lowerCAmelCase__				:  Any		       =     json.load(__UpperCAmelCase		)

        with open(__UpperCAmelCase      ,				encoding='''utf-8'''		) as vocab_handle:
          lowerCAmelCase__				:  Tuple		       =     json.load(__UpperCAmelCase		)

        lowerCAmelCase__				:  int		       =     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:
          lowerCAmelCase__				:  str		       =     oov.replace(R'''\-\''''      ,				R'''\-+\''''		)

        lowerCAmelCase__				:  Dict		       =     regex.compile(__UpperCAmelCase		)
        lowerCAmelCase__				:  Tuple		       =     {v: k for k, v in self.artists_encoder.items()}
        lowerCAmelCase__				:  Any		       =     {v: k for k, v in self.genres_encoder.items()}
        lowerCAmelCase__				:  Tuple		       =     {v: k for k, v in self.lyrics_encoder.items()}

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

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

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Dict		       =     [self.artists_encoder.get(__UpperCAmelCase      ,				0		) for artist in list_artists]
        for genres in range(len(__UpperCAmelCase		)		):
          lowerCAmelCase__				:  Any		       =     [self.genres_encoder.get(__UpperCAmelCase      ,				0		) for genre in list_genres[genres]]
          lowerCAmelCase__				:  Any		       =     list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]		))

        lowerCAmelCase__				:  str		       =     [[self.lyrics_encoder.get(__UpperCAmelCase      ,				0		) for character in list_lyrics[0]], [], []]
        return artists_id, list_genres, lyric_ids

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        return list(__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				**__UpperCAmelCase		):
        lowerCAmelCase__				:  Union[str, Any]		       =     self.prepare_for_tokenization(__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase		)
        lowerCAmelCase__				:  Optional[int]		       =     self._tokenize(__UpperCAmelCase		)
        return artist, genre, lyrics

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase = False		):
        for idx in range(len(self.version		)		):
          if self.version[idx] == "v3":
            lowerCAmelCase__				:  Optional[int]		       =     artists[idx].lower()
            lowerCAmelCase__				:  Tuple		       =     [genres[idx].lower()]
          else:
            lowerCAmelCase__				:  List[str]		       =     self._normalize(artists[idx]		) + '''.v2'''
            lowerCAmelCase__				:  List[str]		       =     [
                self._normalize(__UpperCAmelCase		) + '''.v2''' for genre in genres[idx].split('''_'''		)
            ]  # split is for the full dictionary with combined genres

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

        lowerCAmelCase__				:  List[Any]		       =     self._run_strip_accents(__UpperCAmelCase		)
        lowerCAmelCase__				:  Union[str, Any]		       =     lyrics.replace('''\\'''      ,				'''\n'''		)
        lowerCAmelCase__				:  Optional[Any]		       =     self.out_of_vocab.sub(''''''      ,				__UpperCAmelCase		), [], []
        return artists, genres, lyrics

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Dict		       =     unicodedata.normalize('''NFD'''      ,				__UpperCAmelCase		)
        lowerCAmelCase__				:  Tuple		       =     []
        for char in text:
          lowerCAmelCase__				:  Tuple		       =     unicodedata.category(__UpperCAmelCase		)
          if cat == "Mn":
            continue
          output.append(__UpperCAmelCase		)
        return "".join(__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Union[str, Any]		       =     (
            [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		)]
            + ['''.''']
        )
        lowerCAmelCase__				:  Tuple		       =     frozenset(__UpperCAmelCase		)
        lowerCAmelCase__				:  List[str]		       =     re.compile(R'''_+'''		)
        lowerCAmelCase__				:  List[str]		       =     ''''''.join([c if c in accepted else '''_''' for c in text.lower()]		)
        lowerCAmelCase__				:  int		       =     pattern.sub('''_'''      ,				__UpperCAmelCase		).strip('''_'''		)
        return text

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        return " ".join(__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None      ,				__UpperCAmelCase = False		):
        # Convert to TensorType
        if not isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		):
          lowerCAmelCase__				:  Optional[int]		       =     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

          lowerCAmelCase__				:  Optional[int]		       =     tf.constant
          lowerCAmelCase__				:  Any		       =     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

          lowerCAmelCase__				:  Dict		       =     torch.tensor
          lowerCAmelCase__				:  Tuple		       =     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

          lowerCAmelCase__				:  Union[str, Any]		       =     jnp.array
          lowerCAmelCase__				:  Tuple		       =     _is_jax
        else:
          lowerCAmelCase__				:  Optional[int]		       =     np.asarray
          lowerCAmelCase__				:  Optional[Any]		       =     _is_numpy

        # Do the tensor conversion in batch

        try:
          if prepend_batch_axis:
            lowerCAmelCase__				:  List[Any]		       =     [inputs]

          if not is_tensor(__UpperCAmelCase		):
            lowerCAmelCase__				:  Optional[Any]		       =     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"		):
        lowerCAmelCase__				:  str		       =     [0, 0, 0]
        lowerCAmelCase__				:  Any		       =     [artist] * len(self.version		)
        lowerCAmelCase__				:  Any		       =     [genres] * len(self.version		)

        lowerCAmelCase__				:  str		       =     self.tokenize(__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase		)
        lowerCAmelCase__				:  int		       =     self._convert_token_to_id(__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase		)

        lowerCAmelCase__				:  Union[str, Any]		       =     [-INFINITY] * len(full_tokens[-1]		)
        lowerCAmelCase__				:  List[Any]		       =     [
            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 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        if not os.path.isdir(__UpperCAmelCase		):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""		)
          return

        lowerCAmelCase__				:  Optional[int]		       =     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		)		)

        lowerCAmelCase__				:  List[Any]		       =     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		)		)

        lowerCAmelCase__				:  Optional[int]		       =     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 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Union[str, Any]		       =     self.artists_decoder.get(__UpperCAmelCase		)
        lowerCAmelCase__				:  str		       =     [self.genres_decoder.get(__UpperCAmelCase		) for genre in genres_index]
        lowerCAmelCase__				:  Union[str, Any]		       =     [self.lyrics_decoder.get(__UpperCAmelCase		) for character in lyric_index]
        return artist, genres, lyrics







import os
from datetime import datetime as dt

from github import Github


lowerCAmelCase_					    = [
    """good first issue""",
    """good second issue""",
    """good difficult issue""",
    """enhancement""",
    """new pipeline/model""",
    """new scheduler""",
    """wip""",
]



def      __lowerCAmelCase			(					)     ->	List[Any]:
  lowerCAmelCase__				:  str		       =     Github(os.environ['''GITHUB_TOKEN''']      )
  lowerCAmelCase__				:  str		       =     g.get_repo('''huggingface/diffusers'''      )
  lowerCAmelCase__				:  List[str]		       =     repo.get_issues(state='''open'''      )

  for issue in open_issues:
    lowerCAmelCase__				:  Optional[Any]		       =     sorted(issue.get_comments()	,      key=lambda UpperCamelCase      : i.created_at	,      reverse=UpperCamelCase      )
    lowerCAmelCase__				:  int		       =     comments[0] if len(UpperCamelCase      ) > 0 else None
    if (
        last_comment is not None
        and last_comment.user.login == "github-actions[bot]"
        and (dt.utcnow() - issue.updated_at).days > 7
        and (dt.utcnow() - issue.created_at).days >= 30
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
    ):
      # Closes the issue after 7 days of inactivity since the Stalebot notification.
      issue.edit(state='''closed'''      )
    elif (
        "stale" in issue.get_labels()
        and last_comment is not None
        and last_comment.user.login != "github-actions[bot]"
    ):
      # Opens the issue if someone other than Stalebot commented.
      issue.edit(state='''open'''      )
      issue.remove_from_labels('''stale'''      )
    elif (
        (dt.utcnow() - issue.updated_at).days > 23
        and (dt.utcnow() - issue.created_at).days >= 30
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
    ):
      # Post a Stalebot notification after 23 days of inactivity.
      issue.create_comment(
          '''This issue has been automatically marked as stale because it has not had '''
          '''recent activity. If you think this still needs to be addressed '''
          '''please comment on this thread.\n\nPlease note that issues that do not follow the '''
          '''[contributing guidelines](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md) '''
          '''are likely to be ignored.'''      )
      issue.add_to_labels('''stale'''      )


if __name__ == "__main__":
     main()

