




'''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


UpperCamelCase_						:      Union[str, Any]       =						logging.get_logger(__name__)

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

UpperCamelCase_						:      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''',
    },
}

UpperCamelCase_						:      Optional[Any]       =						{
    '''jukebox''': 512,
}

class        _a    (						__lowerCAmelCase							):
     SCREAMING_SNAKE_CASE_							:   Tuple       =						VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE_							:   Tuple       =						PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE_							:   List[Any]       =						PRETRAINED_LYRIC_TOKENS_SIZES
     SCREAMING_SNAKE_CASE_							:   Dict       =						["""input_ids""", """attention_mask"""]






     def __init__(			self ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE=["v3", "v2", "v2"] ,_SCREAMING_SNAKE_CASE=512 ,_SCREAMING_SNAKE_CASE=5 ,_SCREAMING_SNAKE_CASE="<|endoftext|>" ,**_SCREAMING_SNAKE_CASE ,)							->      Tuple:
          _snake_case							=				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 ,)
          _snake_case							=				version
          _snake_case							=				max_n_lyric_tokens
          _snake_case							=				n_genres

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

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

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

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

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






     @property
     def     _lowercase     (			self   )							->      int:
          return len(self.artists_encoder   ) + len(self.genres_encoder   ) + len(self.lyrics_encoder   )






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






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

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






     def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE   )							->      str:
          return list(_SCREAMING_SNAKE_CASE   )






     def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,**_SCREAMING_SNAKE_CASE   )							->      Any:
          _snake_case							, _snake_case							, _snake_case							=				self.prepare_for_tokenization(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE   )
          _snake_case							=				self._tokenize(_SCREAMING_SNAKE_CASE   )
          return artist, genre, lyrics






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

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






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






     def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE   )							->      str:
          _snake_case							=				(
              [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   )]
              + ["."]
          )
          _snake_case							=				frozenset(_SCREAMING_SNAKE_CASE   )
          _snake_case							=				re.compile(r"_+"   )
          _snake_case							=				"".join([c if c in accepted else "_" for c in text.lower()]   )
          _snake_case							=				pattern.sub("_" ,_SCREAMING_SNAKE_CASE   ).strip("_"   )
          return text






     def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE   )							->      str:
          return " ".join(_SCREAMING_SNAKE_CASE   )






     def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE = None ,_SCREAMING_SNAKE_CASE = False   )							->      int:
          # Convert to TensorType
          if not isinstance(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE   ):
               _snake_case							=				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

               _snake_case							=				tf.constant
               _snake_case							=				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

               _snake_case							=				torch.tensor
               _snake_case							=				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

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

          # Do the tensor conversion in batch

          try:
               if prepend_batch_axis:
                    _snake_case							=				[inputs]

               if not is_tensor(_SCREAMING_SNAKE_CASE   ):
                    _snake_case							=				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 ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE="" ,_SCREAMING_SNAKE_CASE="pt"   )							->      BatchEncoding:
          _snake_case							=				[0, 0, 0]
          _snake_case							=				[artist] * len(self.version   )
          _snake_case							=				[genres] * len(self.version   )

          _snake_case							, _snake_case							, _snake_case							=				self.tokenize(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE   )
          _snake_case							, _snake_case							, _snake_case							=				self._convert_token_to_id(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE   )

          _snake_case							=				[-INFINITY] * len(full_tokens[-1]   )
          _snake_case							=				[
              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     _lowercase     (			self ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE = None   )							->      Tuple[str]:
          if not os.path.isdir(_SCREAMING_SNAKE_CASE   ):
               logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""   )
               return

          _snake_case							=				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   )   )

          _snake_case							=				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   )   )

          _snake_case							=				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     _lowercase     (			self ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE   )							->      str:
          _snake_case							=				self.artists_decoder.get(_SCREAMING_SNAKE_CASE   )
          _snake_case							=				[self.genres_decoder.get(_SCREAMING_SNAKE_CASE   ) for genre in genres_index]
          _snake_case							=				[self.lyrics_decoder.get(_SCREAMING_SNAKE_CASE   ) for character in lyric_index]
          return artist, genres, lyrics








'''simple docstring'''





from __future__ import annotations

from collections.abc import Callable





def      __a     (       _UpperCamelCase:   Callable[[int | float], int | float] ,						_UpperCamelCase:   int | float ,						_UpperCamelCase:   int | float ,						_UpperCamelCase:   int = 100 ,						)						->			float:

     """simple docstring"""




     _snake_case							=				x_start
     _snake_case							=				fnc(_UpperCamelCase   )
     _snake_case							=				0.0
     for _ in range(_UpperCamelCase   ):
          # Approximates small segments of curve as linear and solve
          # for trapezoidal area
          _snake_case							=				(x_end - x_start) / steps + xa
          _snake_case							=				fnc(_UpperCamelCase   )
          area += abs(fxa + fxa   ) * (xa - xa) / 2
          # Increment step
          _snake_case							=				xa
          _snake_case							=				fxa
     return area


if __name__ == "__main__":





   def      __a     (       _UpperCamelCase:   Any   )						->			Optional[int]:

        """simple docstring"""




        return x**3 + x**2

   print('''f(x) = x^3 + x^2''')
   print('''The area between the curve, x = -5, x = 5 and the x axis is:''')
   UpperCamelCase_						:      Optional[int]       =						10
   while i <= 100000:
      print(F'with {i} steps: {trapezoidal_area(f, -5, 5, i)}')
      i *= 10


