

"""simple docstring"""



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


SCREAMING_SNAKE_CASE_					:	Optional[Any]							  =						logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE_					:	Dict							  =						{
    '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',
    },
}

SCREAMING_SNAKE_CASE_					:	List[str]							  =						{
    'jukebox': 5_1_2,
}



class 					a						(       _lowerCamelCase				):



				"""simple docstring"""



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

				def __init__(     self: str    ,						UpperCamelCase: List[str]    ,						UpperCamelCase: Optional[Any]    ,						UpperCamelCase: Dict    ,						UpperCamelCase: Optional[Any]=["v3", "v2", "v2"]    ,						UpperCamelCase: int=5_12    ,						UpperCamelCase: Tuple=5    ,						UpperCamelCase: Tuple="<|endoftext|>"    ,						**UpperCamelCase: List[Any]    ,						):






									"""simple docstring"""


									A__										=  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    ,						)
									A__										=  version
									A__										=  max_n_lyric_tokens
									A__										=  n_genres

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

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

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

									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       ) == 79:
														A__										=  oov.replace(r"""\-'"""    ,						r"""\-+'"""       )

									A__										=  regex.compile(UpperCamelCase       )
									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: List[Any]       ):






									"""simple docstring"""


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

				def 				UpperCamelCase	(     self: Tuple       ):






									"""simple docstring"""


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

				def 				UpperCamelCase	(     self: Dict    ,						UpperCamelCase: List[str]    ,						UpperCamelCase: Optional[Any]    ,						UpperCamelCase: Optional[Any]       ):






									"""simple docstring"""


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

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

				def 				UpperCamelCase	(     self: Optional[Any]    ,						UpperCamelCase: Optional[Any]       ):






									"""simple docstring"""


									return list(UpperCamelCase       )

				def 				UpperCamelCase	(     self: List[str]    ,						UpperCamelCase: Optional[Any]    ,						UpperCamelCase: List[str]    ,						UpperCamelCase: Any    ,						**UpperCamelCase: Optional[Any]       ):






									"""simple docstring"""


									A__			,				A__			,				A__										=  self.prepare_for_tokenization(UpperCamelCase    ,						UpperCamelCase    ,						UpperCamelCase       )
									A__										=  self._tokenize(UpperCamelCase       )
									return artist, genre, lyrics

				def 				UpperCamelCase	(     self: Tuple    ,						UpperCamelCase: str    ,						UpperCamelCase: str    ,						UpperCamelCase: str    ,						UpperCamelCase: bool = 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(UpperCamelCase       ) + """.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(UpperCamelCase       )       )}
														A__										=  0
														A__										=  len(UpperCamelCase       ) + 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(UpperCamelCase       )
									A__										=  lyrics.replace("""\\"""    ,						"""\n"""       )
									A__										=  self.out_of_vocab.sub(""""""    ,						UpperCamelCase       ), [], []
									return artists, genres, lyrics

				def 				UpperCamelCase	(     self: int    ,						UpperCamelCase: Union[str, Any]       ):






									"""simple docstring"""


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

				def 				UpperCamelCase	(     self: Any    ,						UpperCamelCase: str       ):






									"""simple docstring"""


									A__										=  (
									    [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       )]
									    + ["""."""]
									)
									A__										=  frozenset(UpperCamelCase       )
									A__										=  re.compile(r"""_+"""       )
									A__										=  """""".join([c if c in accepted else """_""" for c in text.lower()]       )
									A__										=  pattern.sub("""_"""    ,						UpperCamelCase       ).strip("""_"""       )
									return text

				def 				UpperCamelCase	(     self: Optional[int]    ,						UpperCamelCase: List[str]       ):






									"""simple docstring"""


									return " ".join(UpperCamelCase       )

				def 				UpperCamelCase	(     self: str    ,						UpperCamelCase: List[str]    ,						UpperCamelCase: Optional[Union[str, TensorType]] = None    ,						UpperCamelCase: bool = False       ):






									"""simple docstring"""


									if not isinstance(UpperCamelCase    ,						UpperCamelCase       ):
														A__										=  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

														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(UpperCamelCase       ):
																			A__										=  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: Any    ,						UpperCamelCase: Tuple    ,						UpperCamelCase: Optional[int]    ,						UpperCamelCase: Optional[Any]=""    ,						UpperCamelCase: List[str]="pt"       ):






									"""simple docstring"""


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

									A__			,				A__			,				A__										=  self.tokenize(UpperCamelCase    ,						UpperCamelCase    ,						UpperCamelCase       )
									A__			,				A__			,				A__										=  self._convert_token_to_id(UpperCamelCase    ,						UpperCamelCase    ,						UpperCamelCase       )

									A__										=  [-INFINITY] * len(full_tokens[-1]       )
									A__										=  [
									    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: List[str]    ,						UpperCamelCase: str    ,						UpperCamelCase: Optional[str] = None       ):






									"""simple docstring"""


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

									A__										=  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       )       )

									A__										=  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       )       )

									A__										=  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: int    ,						UpperCamelCase: Tuple    ,						UpperCamelCase: List[Any]    ,						UpperCamelCase: List[str]       ):






									"""simple docstring"""


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









"""simple docstring"""



from collections import defaultdict





def  _snake_case     (    UpperCAmelCase_  :					int			):
     A__										=  1
     A__										=  True
     for v in tree[start]:
          if v not in visited:
               ret += dfs(UpperCAmelCase_			)
     if ret % 2 == 0:
          cuts.append(UpperCAmelCase_			)
     return ret





def  _snake_case     (    ):
     dfs(1			)


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_  ,SCREAMING_SNAKE_CASE_					:	Any							  =						1_0, 9
 SCREAMING_SNAKE_CASE_					:	Any							  =						defaultdict(list)
 SCREAMING_SNAKE_CASE_					:	dict[int, bool]							  =						{}
 SCREAMING_SNAKE_CASE_					:	list[int]							  =						[]
 SCREAMING_SNAKE_CASE_					:	Optional[int]							  =						0
 SCREAMING_SNAKE_CASE_					:	Any							  =						[(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (1_0, 8)]
 for u, v in edges:
  tree[u].append(v)
  tree[v].append(u)
 even_tree()
 print(len(cuts) - 1)






