
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__       ):
				_lowercase					=VOCAB_FILES_NAMES
				_lowercase					=PRETRAINED_VOCAB_FILES_MAP
				_lowercase					=PRETRAINED_LYRIC_TOKENS_SIZES
				_lowercase					=["input_ids", "attention_mask"]




				def __init__(					self				,				_UpperCamelCase				,				_UpperCamelCase				,				_UpperCamelCase				,				_UpperCamelCase=["v3", "v2", "v2"]				,				_UpperCamelCase=512				,				_UpperCamelCase=5				,				_UpperCamelCase="<|endoftext|>"				,				**_UpperCamelCase				,				)				->      Union[str, Any]:
							lowerCAmelCase_						=	AddedToken(SCREAMING_SNAKE_CASE_				,				lstrip=SCREAMING_SNAKE_CASE_				,				rstrip=SCREAMING_SNAKE_CASE_     ) if isinstance(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_     ) else unk_token
							super().__init__(
							    unk_token=SCREAMING_SNAKE_CASE_				,				n_genres=SCREAMING_SNAKE_CASE_				,				version=SCREAMING_SNAKE_CASE_				,				max_n_lyric_tokens=SCREAMING_SNAKE_CASE_				,				**SCREAMING_SNAKE_CASE_				,				)
							lowerCAmelCase_						=	version
							lowerCAmelCase_						=	max_n_lyric_tokens
							lowerCAmelCase_						=	n_genres

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

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

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

							lowerCAmelCase_						=	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_						=	oov.replace(r"\-\'"				,				r"\-+\'"     )

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




				@property
				def      __a						(					self     )				->      List[Any]:
							return len(self.artists_encoder     ) + len(self.genres_encoder     ) + len(self.lyrics_encoder     )




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




				def      __a						(					self				,				_UpperCamelCase				,				_UpperCamelCase				,				_UpperCamelCase     )				->      List[str]:
							lowerCAmelCase_						=	[self.artists_encoder.get(SCREAMING_SNAKE_CASE_				,				0     ) for artist in list_artists]
							for genres in range(len(SCREAMING_SNAKE_CASE_     )     ):
										lowerCAmelCase_						=	[self.genres_encoder.get(SCREAMING_SNAKE_CASE_				,				0     ) for genre in list_genres[genres]]
										lowerCAmelCase_						=	list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]     ))

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




				def      __a						(					self				,				_UpperCamelCase     )				->      Optional[Any]:
							return list(SCREAMING_SNAKE_CASE_     )




				def      __a						(					self				,				_UpperCamelCase				,				_UpperCamelCase				,				_UpperCamelCase				,				**_UpperCamelCase     )				->      Tuple:
							lowerCAmelCase_						=	self.prepare_for_tokenization(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_     )
							lowerCAmelCase_						=	self._tokenize(SCREAMING_SNAKE_CASE_     )
							return artist, genre, lyrics




				def      __a						(					self				,				_UpperCamelCase				,				_UpperCamelCase				,				_UpperCamelCase				,				_UpperCamelCase = False     )				->      Tuple[str, str, str, Dict[str, Any]]:
							for idx in range(len(self.version     )     ):
										if self.version[idx] == "v3":
													lowerCAmelCase_						=	artists[idx].lower()
													lowerCAmelCase_						=	[genres[idx].lower()]
										else:
													lowerCAmelCase_						=	self._normalize(artists[idx]     ) + '.v2'
													lowerCAmelCase_						=	[
													    self._normalize(SCREAMING_SNAKE_CASE_     ) + '.v2' for genre in genres[idx].split("_"     )
													]  # split is for the full dictionary with combined genres

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

							lowerCAmelCase_						=	self._run_strip_accents(SCREAMING_SNAKE_CASE_     )
							lowerCAmelCase_						=	lyrics.replace("\\"				,				"\n"     )
							lowerCAmelCase_						=	self.out_of_vocab.sub(""				,				SCREAMING_SNAKE_CASE_     ), [], []
							return artists, genres, lyrics




				def      __a						(					self				,				_UpperCamelCase     )				->      Optional[Any]:
							lowerCAmelCase_						=	unicodedata.normalize("NFD"				,				SCREAMING_SNAKE_CASE_     )
							lowerCAmelCase_						=	[]
							for char in text:
										lowerCAmelCase_						=	unicodedata.category(SCREAMING_SNAKE_CASE_     )
										if cat == "Mn":
													continue
										output.append(SCREAMING_SNAKE_CASE_     )
							return "".join(SCREAMING_SNAKE_CASE_     )




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




				def      __a						(					self				,				_UpperCamelCase     )				->      str:
							return " ".join(SCREAMING_SNAKE_CASE_     )




				def      __a						(					self				,				_UpperCamelCase				,				_UpperCamelCase = None				,				_UpperCamelCase = False     )				->      List[Any]:
							# Convert to TensorType
							if not isinstance(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_     ):
										lowerCAmelCase_						=	TensorType(SCREAMING_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

										lowerCAmelCase_						=	tf.constant
										lowerCAmelCase_						=	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_						=	torch.tensor
										lowerCAmelCase_						=	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_						=	jnp.array
										lowerCAmelCase_						=	_is_jax
							else:
										lowerCAmelCase_						=	np.asarray
										lowerCAmelCase_						=	_is_numpy

							# Do the tensor conversion in batch

							try:
										if prepend_batch_axis:
													lowerCAmelCase_						=	[inputs]

										if not is_tensor(SCREAMING_SNAKE_CASE_     ):
													lowerCAmelCase_						=	as_tensor(SCREAMING_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				,				_UpperCamelCase				,				_UpperCamelCase				,				_UpperCamelCase=""				,				_UpperCamelCase="pt"     )				->      BatchEncoding:
							lowerCAmelCase_						=	[0, 0, 0]
							lowerCAmelCase_						=	[artist] * len(self.version     )
							lowerCAmelCase_						=	[genres] * len(self.version     )

							lowerCAmelCase_						=	self.tokenize(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_     )
							lowerCAmelCase_						=	self._convert_token_to_id(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_     )

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




				def      __a						(					self				,				_UpperCamelCase				,				_UpperCamelCase = None     )				->      Tuple[str]:
							if not os.path.isdir(SCREAMING_SNAKE_CASE_     ):
										logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
										return

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

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

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

							return (artists_file, genres_file, lyrics_file)




				def      __a						(					self				,				_UpperCamelCase				,				_UpperCamelCase				,				_UpperCamelCase     )				->      Optional[Any]:
							lowerCAmelCase_						=	self.artists_decoder.get(SCREAMING_SNAKE_CASE_     )
							lowerCAmelCase_						=	[self.genres_decoder.get(SCREAMING_SNAKE_CASE_     ) for genre in genres_index]
							lowerCAmelCase_						=	[self.lyrics_decoder.get(SCREAMING_SNAKE_CASE_     ) for character in lyric_index]
							return artist, genres, lyrics








from __future__ import annotations

__UpperCAmelCase          =       {
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}



class 				lowerCAmelCase_		:
       def __init__(			self,			SCREAMING_SNAKE_CASE_,			SCREAMING_SNAKE_CASE_       )     ->		None:
          UpperCamelCase    :  Union[str, Any]							=	graph
          # mapping node to its parent in resulting breadth first tree
          UpperCamelCase    :  dict[str, str | None]							=	{}
          UpperCamelCase    :  Union[str, Any]							=	source_vertex
       def 					snake_case_       (			self       )     ->		None:
          UpperCamelCase    :  str							=	{self.source_vertex}
          UpperCamelCase    :  str							=	None
          UpperCamelCase    :  int							=	[self.source_vertex]  # first in first out queue

          while queue:
             UpperCamelCase    :  Dict							=	queue.pop(0       )
             for adjacent_vertex in self.graph[vertex]:
                if adjacent_vertex not in visited:
                   visited.add(SCREAMING_SNAKE_CASE_       )
                   UpperCamelCase    :  Tuple							=	vertex
                   queue.append(SCREAMING_SNAKE_CASE_       )






       def 					snake_case_       (			self,			SCREAMING_SNAKE_CASE_       )     ->		str:
          if target_vertex == self.source_vertex:
             return self.source_vertex

          UpperCamelCase    :  Optional[Any]							=	self.parent.get(SCREAMING_SNAKE_CASE_       )
          if target_vertex_parent is None:
             UpperCamelCase    :  Union[str, Any]							=	(
                 F"""No path from vertex: {self.source_vertex} to vertex: {target_vertex}"""
             )
             raise ValueError(SCREAMING_SNAKE_CASE_       )

          return self.shortest_path(SCREAMING_SNAKE_CASE_       ) + F"""->{target_vertex}"""


if __name__ == "__main__":
    __UpperCAmelCase          =       Graph(graph, '''G''')
    g.breath_first_search()
    print(g.shortest_path('''D'''))
    print(g.shortest_path('''G'''))
    print(g.shortest_path('''Foo'''))



