


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


snake_case__				:	Any					       =					logging.get_logger(__name__)

snake_case__				:	Any					       =					{
    'artists_file': 'artists.json',
    'lyrics_file': 'lyrics.json',
    'genres_file': 'genres.json',
}

snake_case__				:	Optional[Any]					       =					{
    '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',
    },
}

snake_case__				:	int					       =					{
    'jukebox': 512,
}





class   SCREAMING_SNAKE_CASE_			(a__						):




       '''simple docstring'''



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



       def __init__(						self				:				Tuple		,				__a				:				str		,				__a				:				str		,				__a				:				List[str]		,				__a				:				Union[str, Any]=["v3", "v2", "v2"]		,				__a				:				List[str]=512		,				__a				:				Any=5		,				__a				:				List[Any]="<|endoftext|>"		,				**__a				:				Any		,				)					->Dict:
          lowerCamelCase_						:   int		= AddedToken(__a		,				lstrip=__a		,				rstrip=__a							) if isinstance(__a		,				__a							) else unk_token
          super().__init__(
              unk_token=__a		,				n_genres=__a		,				version=__a		,				max_n_lyric_tokens=__a		,				**__a		,				)
          lowerCamelCase_						:   Union[str, Any]		= version
          lowerCamelCase_						:   Union[str, Any]		= max_n_lyric_tokens
          lowerCamelCase_						:   Optional[int]		= n_genres

          with open(__a		,				encoding="""utf-8"""							) as vocab_handle:
             lowerCamelCase_						:   List[str]		= json.load(__a							)

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

          with open(__a		,				encoding="""utf-8"""							) as vocab_handle:
             lowerCamelCase_						:   Dict		= json.load(__a							)

          lowerCamelCase_						:   Union[str, Any]		= 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_						:   Optional[Any]		= regex.compile(__a							)
          lowerCamelCase_						:   List[Any]		= {v: k for k, v in self.artists_encoder.items()}
          lowerCamelCase_						:   List[str]		= {v: k for k, v in self.genres_encoder.items()}
          lowerCamelCase_						:   Any		= {v: k for k, v in self.lyrics_encoder.items()}



       @property
       def 				_lowerCAmelCase							(						self				:				Optional[Any]							)					->Union[str, Any]:
          return len(self.artists_encoder							) + len(self.genres_encoder							) + len(self.lyrics_encoder							)



       def 				_lowerCAmelCase							(						self				:				Optional[Any]							)					->Union[str, Any]:
          return dict(self.artists_encoder		,				self.genres_encoder		,				self.lyrics_encoder							)



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

          lowerCamelCase_						:   Dict		= [[self.lyrics_encoder.get(__a		,				0							) for character in list_lyrics[0]], [], []]
          return artists_id, list_genres, lyric_ids



       def 				_lowerCAmelCase							(						self				:				List[Any]		,				__a				:				Optional[int]							)					->Tuple:
          return list(__a							)



       def 				_lowerCAmelCase							(						self				:				Tuple		,				__a				:				Dict		,				__a				:				List[Any]		,				__a				:				List[Any]		,				**__a				:				List[Any]							)					->List[Any]:
          lowerCamelCase_,	lowerCamelCase_,	lowerCamelCase_						:   Dict		= self.prepare_for_tokenization(__a		,				__a		,				__a							)
          lowerCamelCase_						:   str		= self._tokenize(__a							)
          return artist, genre, lyrics



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

          lowerCamelCase_						:   Any		= self._run_strip_accents(__a							)
          lowerCamelCase_						:   str		= lyrics.replace("""\\"""		,				"""\n"""							)
          lowerCamelCase_						:   List[str]		= self.out_of_vocab.sub(""""""		,				__a							), [], []
          return artists, genres, lyrics



       def 				_lowerCAmelCase							(						self				:				Optional[Any]		,				__a				:				int							)					->Union[str, Any]:
          lowerCamelCase_						:   Union[str, Any]		= unicodedata.normalize("""NFD"""		,				__a							)
          lowerCamelCase_						:   Tuple		= []
          for char in text:
             lowerCamelCase_						:   Dict		= unicodedata.category(__a							)
             if cat == "Mn":
                continue
             output.append(__a							)
          return "".join(__a							)



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



       def 				_lowerCAmelCase							(						self				:				Any		,				__a				:				List[str]							)					->str:
          return " ".join(__a							)



       def 				_lowerCAmelCase							(						self				:				Union[str, Any]		,				__a				:				Optional[Any]		,				__a				:				Optional[Union[str, TensorType]] = None		,				__a				:				bool = False							)					->int:
          # Convert to TensorType
          if not isinstance(__a		,				__a							):
             lowerCamelCase_						:   Tuple		= TensorType(__a							)

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

          # Do the tensor conversion in batch

          try:
             if prepend_batch_axis:
                lowerCamelCase_						:   Union[str, Any]		= [inputs]

             if not is_tensor(__a							):
                lowerCamelCase_						:   Union[str, Any]		= as_tensor(__a							)
          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[Any]		,				__a				:				Tuple		,				__a				:				List[str]		,				__a				:				str=""		,				__a				:				Optional[int]="pt"							)					->BatchEncoding:
          lowerCamelCase_						:   List[str]		= [0, 0, 0]
          lowerCamelCase_						:   List[str]		= [artist] * len(self.version							)
          lowerCamelCase_						:   str		= [genres] * len(self.version							)

          lowerCamelCase_,	lowerCamelCase_,	lowerCamelCase_						:   Optional[Any]		= self.tokenize(__a		,				__a		,				__a							)
          lowerCamelCase_,	lowerCamelCase_,	lowerCamelCase_						:   List[str]		= self._convert_token_to_id(__a		,				__a		,				__a							)

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



       def 				_lowerCAmelCase							(						self				:				Dict		,				__a				:				str		,				__a				:				Optional[str] = None							)					->Tuple[str]:
          if not os.path.isdir(__a							):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''							)
             return

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

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

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

          return (artists_file, genres_file, lyrics_file)




       def 				_lowerCAmelCase							(						self				:				List[str]		,				__a				:				List[str]		,				__a				:				List[Any]		,				__a				:				Tuple							)					->List[Any]:
          lowerCamelCase_						:   List[Any]		= self.artists_decoder.get(__a							)
          lowerCamelCase_						:   List[Any]		= [self.genres_decoder.get(__a							) for genre in genres_index]
          lowerCamelCase_						:   Any		= [self.lyrics_decoder.get(__a							) for character in lyric_index]
          return artist, genres, lyrics









import os

import pytest

from transformers.dynamic_module_utils import get_imports


snake_case__				:	List[Any]					       =					'\nimport os\n'

snake_case__				:	List[str]					       =					'\ndef foo():\n    import os\n    return False\n'

snake_case__				:	List[Any]					       =					'\ndef foo():\n    def bar():\n        if True:\n            import os\n        return False\n    return bar()\n'

snake_case__				:	List[str]					       =					'\nimport os\n\ntry:\n    import bar\nexcept ImportError:\n    raise ValueError()\n'

snake_case__				:	Optional[Any]					       =					'\nimport os\n\ndef foo():\n    try:\n        import bar\n    except ImportError:\n        raise ValueError()\n'

snake_case__				:	Tuple					       =					'\nimport os\n\ntry:\n    import bar\nexcept (ImportError, AttributeError):\n    raise ValueError()\n'

snake_case__				:	str					       =					'\nimport os\n\ntry:\n    import bar\nexcept ImportError as e:\n    raise ValueError()\n'

snake_case__				:	Optional[Any]					       =					'\nimport os\n\ntry:\n    import bar\nexcept:\n    raise ValueError()\n'

snake_case__				:	Any					       =					'\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    raise ValueError()\n'

snake_case__				:	Union[str, Any]					       =					'\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    x = 1\n    raise ValueError()\n'

snake_case__				:	Any					       =					[
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]


@pytest.mark.parametrize("""case"""						,						A__					)
def    __lowerCamelCase   (      A__						: Dict						,						A__						: int					)     ->    List[Any]:
   lowerCamelCase_						:   List[str]		= os.path.join(A__						,						"""test_file.py"""					)
   with open(A__						,						"""w"""					) as _tmp_file:
      _tmp_file.write(A__					)

   lowerCamelCase_						:   str		= get_imports(A__					)
   assert parsed_imports == ["os"]





