



"""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


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""": 512,
}
class 				lowercase__       (   SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					VOCAB_FILES_NAMES
       UpperCamelCase						=					PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase						=					PRETRAINED_LYRIC_TOKENS_SIZES
       UpperCamelCase						=					['''input_ids''', '''attention_mask''']



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


             '''simple docstring'''




             UpperCAmelCase_      			=							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		,    )
             UpperCAmelCase_      			=							version
             UpperCAmelCase_      			=							max_n_lyric_tokens
             UpperCAmelCase_      			=							n_genres

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

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

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

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

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



       @property
       def 					lowercase__    (							self      :  Dict   )			->						Tuple:


             '''simple docstring'''




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



       def 					lowercase__    (							self      :  Dict   )			->						Union[str, Any]:


             '''simple docstring'''




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



       def 					lowercase__    (							self      :  Dict		,    _UpperCAmelCase      :  Dict		,    _UpperCAmelCase      :  str		,    _UpperCAmelCase      :  Tuple   )			->						Optional[Any]:


             '''simple docstring'''




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

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



       def 					lowercase__    (							self      :  List[str]		,    _UpperCAmelCase      :  Union[str, Any]   )			->						int:


             '''simple docstring'''




             return list(_UpperCAmelCase   )



       def 					lowercase__    (							self      :  List[Any]		,    _UpperCAmelCase      :  Dict		,    _UpperCAmelCase      :  Optional[Any]		,    _UpperCAmelCase      :  Tuple		,    **_UpperCAmelCase      :  Union[str, Any]   )			->						List[str]:


             '''simple docstring'''




             UpperCAmelCase_			,   UpperCAmelCase_			,   UpperCAmelCase_      			=							self.prepare_for_tokenization(_UpperCAmelCase		,    _UpperCAmelCase		,    _UpperCAmelCase   )
             UpperCAmelCase_      			=							self._tokenize(_UpperCAmelCase   )
             return artist, genre, lyrics



       def 					lowercase__    (							self      :  Optional[Any]		,    _UpperCAmelCase      :  str		,    _UpperCAmelCase      :  str		,    _UpperCAmelCase      :  str		,    _UpperCAmelCase      :  bool = False   )			->						Tuple[str, str, str, Dict[str, Any]]:


             '''simple docstring'''




             for idx in range(len(self.version   )   ):
                   if self.version[idx] == "v3":
                         UpperCAmelCase_      			=							artists[idx].lower()
                         UpperCAmelCase_      			=							[genres[idx].lower()]
                   else:
                         UpperCAmelCase_      			=							self._normalize(artists[idx]   ) + ".v2"
                         UpperCAmelCase_      			=							[
                             self._normalize(_UpperCAmelCase   ) + ".v2" for genre in genres[idx].split("_"   )
                         ]  # split is for the full dictionary with combined genres

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

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



       def 					lowercase__    (							self      :  int		,    _UpperCAmelCase      :  Tuple   )			->						Dict:


             '''simple docstring'''




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



       def 					lowercase__    (							self      :  List[str]		,    _UpperCAmelCase      :  str   )			->						str:


             '''simple docstring'''




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



       def 					lowercase__    (							self      :  Tuple		,    _UpperCAmelCase      :  List[str]   )			->						str:


             '''simple docstring'''




             return " ".join(_UpperCAmelCase   )



       def 					lowercase__    (							self      :  Union[str, Any]		,    _UpperCAmelCase      :  Optional[int]		,    _UpperCAmelCase      :  Optional[Union[str, TensorType]] = None		,    _UpperCAmelCase      :  bool = False   )			->						int:


             '''simple docstring'''




             if not isinstance(_UpperCAmelCase		,    _UpperCAmelCase   ):
                   UpperCAmelCase_      			=							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

                   UpperCAmelCase_      			=							tf.constant
                   UpperCAmelCase_      			=							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

                   UpperCAmelCase_      			=							torch.tensor
                   UpperCAmelCase_      			=							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

                   UpperCAmelCase_      			=							jnp.array
                   UpperCAmelCase_      			=							_is_jax
             else:
                   UpperCAmelCase_      			=							np.asarray
                   UpperCAmelCase_      			=							_is_numpy

             # Do the tensor conversion in batch

             try:
                   if prepend_batch_axis:
                         UpperCAmelCase_      			=							[inputs]

                   if not is_tensor(_UpperCAmelCase   ):
                         UpperCAmelCase_      			=							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      :  Tuple		,    _UpperCAmelCase      :  Tuple		,    _UpperCAmelCase      :  Optional[int]		,    _UpperCAmelCase      :  Dict=""		,    _UpperCAmelCase      :  Union[str, Any]="pt"   )			->						BatchEncoding:


             '''simple docstring'''




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

             UpperCAmelCase_			,   UpperCAmelCase_			,   UpperCAmelCase_      			=							self.tokenize(_UpperCAmelCase		,    _UpperCAmelCase		,    _UpperCAmelCase   )
             UpperCAmelCase_			,   UpperCAmelCase_			,   UpperCAmelCase_      			=							self._convert_token_to_id(_UpperCAmelCase		,    _UpperCAmelCase		,    _UpperCAmelCase   )

             UpperCAmelCase_      			=							[-INFINITY] * len(full_tokens[-1]   )
             UpperCAmelCase_      			=							[
                 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 					lowercase__    (							self      :  List[str]		,    _UpperCAmelCase      :  str		,    _UpperCAmelCase      :  Optional[str] = None   )			->						Tuple[str]:


             '''simple docstring'''




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

             UpperCAmelCase_      			=							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   )   )

             UpperCAmelCase_      			=							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   )   )

             UpperCAmelCase_      			=							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 					lowercase__    (							self      :  Optional[int]		,    _UpperCAmelCase      :  Union[str, Any]		,    _UpperCAmelCase      :  Optional[int]		,    _UpperCAmelCase      :  Tuple   )			->						Optional[Any]:


             '''simple docstring'''




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









"""simple docstring"""





# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase       	=						{
    """configuration_mgp_str""": ["""MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MgpstrConfig"""],
    """processing_mgp_str""": ["""MgpstrProcessor"""],
    """tokenization_mgp_str""": ["""MgpstrTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase       	=						[
      """MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """MgpstrModel""",
      """MgpstrPreTrainedModel""",
      """MgpstrForSceneTextRecognition""",
  ]

if TYPE_CHECKING:
  from .configuration_mgp_str import MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP, MgpstrConfig
  from .processing_mgp_str import MgpstrProcessor
  from .tokenization_mgp_str import MgpstrTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_mgp_str import (
        MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST,
        MgpstrForSceneTextRecognition,
        MgpstrModel,
        MgpstrPreTrainedModel,
    )
else:
  import sys

  lowerCamelCase       	=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




