from collections.abc import Generator
from math import sin






def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			bytes  ):
      if len(lowerCAmelCase_  ) != 3_2:
            raise ValueError("Input must be of length 32"  )

      snake_case_  :      Optional[Any]  	=							b""
      for i in [3, 2, 1, 0]:
            little_endian += string_aa[8 * i : 8 * i + 8]
      return little_endian






def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			int  ):
      if i < 0:
            raise ValueError("Input must be non-negative"  )

      snake_case_  :      int  	=							format(lowerCAmelCase_			,						"08x"  )[-8:]
      snake_case_  :      Optional[int]  	=							b""
      for i in [3, 2, 1, 0]:
            little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode("utf-8"  )
      return little_endian_hex






def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			bytes  ):
      snake_case_  :      Dict  	=							b""
      for char in message:
            bit_string += format(lowerCAmelCase_			,						"08b"  ).encode("utf-8"  )
      snake_case_  :      Optional[int]  	=							format(len(lowerCAmelCase_  )			,						"064b"  ).encode("utf-8"  )

      # Pad bit_string to a multiple of 512 chars
      bit_string += b"1"
      while len(lowerCAmelCase_  ) % 5_1_2 != 4_4_8:
            bit_string += b"0"
      bit_string += to_little_endian(start_len[3_2:]  ) + to_little_endian(start_len[:3_2]  )

      return bit_string






def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			bytes  ):
      if len(lowerCAmelCase_  ) % 5_1_2 != 0:
            raise ValueError("Input must have length that\'s a multiple of 512"  )

      for pos in range(0			,						len(lowerCAmelCase_  )			,						5_1_2  ):
            snake_case_  :      str  	=							bit_string[pos : pos + 5_1_2]
            snake_case_  :      Optional[int]  	=							[]
            for i in range(0			,						5_1_2			,						3_2  ):
                  block_words.append(int(to_little_endian(block[i : i + 3_2]  )			,						2  )  )
            yield block_words






def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			int  ):
      if i < 0:
            raise ValueError("Input must be non-negative"  )

      snake_case_  :      Union[str, Any]  	=							format(lowerCAmelCase_			,						"032b"  )
      snake_case_  :      Union[str, Any]  	=							""
      for c in i_str:
            new_str += "1" if c == "0" else "0"
      return int(lowerCAmelCase_			,						2  )






def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			int			,						lowerCAmelCase_:			int  ):
      return (a + b) % 2**3_2






def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			int			,						lowerCAmelCase_:			int  ):
      if i < 0:
            raise ValueError("Input must be non-negative"  )
      if shift < 0:
            raise ValueError("Shift must be non-negative"  )
      return ((i << shift) ^ (i >> (3_2 - shift))) % 2**3_2






def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			bytes  ):
      snake_case_  :      Any  	=							preprocess(lowerCAmelCase_  )

      snake_case_  :      Optional[Any]  	=							[int(2**3_2 * abs(sin(i + 1  )  )  ) for i in range(6_4  )]

      # Starting states
      snake_case_  :      int  	=							0x6745_2301
      snake_case_  :      List[Any]  	=							0xEFCD_AB89
      snake_case_  :      Optional[Any]  	=							0x98BA_DCFE
      snake_case_  :      Dict  	=							0x1032_5476

      snake_case_  :      str  	=							[
          7,
          1_2,
          1_7,
          2_2,
          7,
          1_2,
          1_7,
          2_2,
          7,
          1_2,
          1_7,
          2_2,
          7,
          1_2,
          1_7,
          2_2,
          5,
          9,
          1_4,
          2_0,
          5,
          9,
          1_4,
          2_0,
          5,
          9,
          1_4,
          2_0,
          5,
          9,
          1_4,
          2_0,
          4,
          1_1,
          1_6,
          2_3,
          4,
          1_1,
          1_6,
          2_3,
          4,
          1_1,
          1_6,
          2_3,
          4,
          1_1,
          1_6,
          2_3,
          6,
          1_0,
          1_5,
          2_1,
          6,
          1_0,
          1_5,
          2_1,
          6,
          1_0,
          1_5,
          2_1,
          6,
          1_0,
          1_5,
          2_1,
      ]

      # Process bit string in chunks, each with 16 32-char words
      for block_words in get_block_words(lowerCAmelCase_  ):
            snake_case_  :      Optional[int]  	=							aa
            snake_case_  :      Tuple  	=							ba
            snake_case_  :      Union[str, Any]  	=							ca
            snake_case_  :      Tuple  	=							da

            # Hash current chunk
            for i in range(6_4  ):
                  if i <= 1_5:
                        # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
                        snake_case_  :      str  	=							d ^ (b & (c ^ d))
                        snake_case_  :      int  	=							i
                  elif i <= 3_1:
                        # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
                        snake_case_  :      List[Any]  	=							c ^ (d & (b ^ c))
                        snake_case_  :      Optional[Any]  	=							(5 * i + 1) % 1_6
                  elif i <= 4_7:
                        snake_case_  :      Any  	=							b ^ c ^ d
                        snake_case_  :      List[str]  	=							(3 * i + 5) % 1_6
                  else:
                        snake_case_  :      int  	=							c ^ (b | not_aa(lowerCAmelCase_  ))
                        snake_case_  :      str  	=							(7 * i) % 1_6
                  snake_case_  :      Tuple  	=							(f + a + added_consts[i] + block_words[g]) % 2**3_2
                  snake_case_  :      Union[str, Any]  	=							d
                  snake_case_  :      List[Any]  	=							c
                  snake_case_  :      Union[str, Any]  	=							b
                  snake_case_  :      List[str]  	=							sum_aa(lowerCAmelCase_			,						left_rotate_aa(lowerCAmelCase_			,						shift_amounts[i]  )  )

            # Add hashed chunk to running total
            snake_case_  :      Tuple  	=							sum_aa(lowerCAmelCase_			,						lowerCAmelCase_  )
            snake_case_  :      Optional[int]  	=							sum_aa(lowerCAmelCase_			,						lowerCAmelCase_  )
            snake_case_  :      Any  	=							sum_aa(lowerCAmelCase_			,						lowerCAmelCase_  )
            snake_case_  :      Tuple  	=							sum_aa(lowerCAmelCase_			,						lowerCAmelCase_  )

      snake_case_  :      List[Any]  	=							reformat_hex(lowerCAmelCase_  ) + reformat_hex(lowerCAmelCase_  ) + reformat_hex(lowerCAmelCase_  ) + reformat_hex(lowerCAmelCase_  )
      return digest


if __name__ == "__main__":
     import doctest

     doctest.testmod()






'''simple docstring'''




import os
import shutil
import tempfile
import unittest

import numpy as np

from transformers import AutoTokenizer, BarkProcessor
from transformers.testing_utils import require_torch, slow



@require_torch
class 							lowercase_						(		unittest.TestCase			):

  '''simple docstring'''





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


    """simple docstring"""
    UpperCAmelCase    				=						'ylacombe/bark-small'
    UpperCAmelCase    				=						tempfile.mkdtemp()
    UpperCAmelCase    				=						'en_speaker_1'
    UpperCAmelCase    				=						'This is a test string'
    UpperCAmelCase    				=						'speaker_embeddings_path.json'
    UpperCAmelCase    				=						'speaker_embeddings'
  def     snake_case_      (  self ,			**a_  )				->					List[str]:


    """simple docstring"""
    return AutoTokenizer.from_pretrained(self.checkpoint ,			**a_  )
  def     snake_case_      (  self  )				->					str:


    """simple docstring"""
    shutil.rmtree(self.tmpdirname  )
  def     snake_case_      (  self  )				->					Optional[int]:


    """simple docstring"""
    UpperCAmelCase    				=						self.get_tokenizer()

    UpperCAmelCase    				=						BarkProcessor(tokenizer=a_  )

    processor.save_pretrained(self.tmpdirname  )
    UpperCAmelCase    				=						BarkProcessor.from_pretrained(self.tmpdirname  )

    self.assertEqual(processor.tokenizer.get_vocab() ,			tokenizer.get_vocab()  )
  @slow
  def     snake_case_      (  self  )				->					int:


    """simple docstring"""
    UpperCAmelCase    				=						BarkProcessor.from_pretrained(
        pretrained_processor_name_or_path=self.checkpoint ,			speaker_embeddings_dict_path=self.speaker_embeddings_dict_path ,			)
    processor.save_pretrained(
        self.tmpdirname ,			speaker_embeddings_dict_path=self.speaker_embeddings_dict_path ,			speaker_embeddings_directory=self.speaker_embeddings_directory ,			)

    UpperCAmelCase    				=						self.get_tokenizer(bos_token='(BOS)' ,			eos_token='(EOS)'  )

    UpperCAmelCase    				=						BarkProcessor.from_pretrained(
        self.tmpdirname ,			self.speaker_embeddings_dict_path ,			bos_token='(BOS)' ,			eos_token='(EOS)' ,			)

    self.assertEqual(processor.tokenizer.get_vocab() ,			tokenizer_add_kwargs.get_vocab()  )
  def     snake_case_      (  self  )				->					Dict:


    """simple docstring"""
    UpperCAmelCase    				=						BarkProcessor.from_pretrained(
        pretrained_processor_name_or_path=self.checkpoint ,			speaker_embeddings_dict_path=self.speaker_embeddings_dict_path ,			)

    UpperCAmelCase    				=						3_5
    UpperCAmelCase    				=						2
    UpperCAmelCase    				=						8

    UpperCAmelCase    				=						{
        'semantic_prompt': np.ones(a_  ),
        'coarse_prompt': np.ones((nb_codebooks_coarse, seq_len)  ),
        'fine_prompt': np.ones((nb_codebooks_total, seq_len)  ),
    }

    # test providing already loaded voice_preset
    UpperCAmelCase    				=						processor(text=self.input_string ,			voice_preset=a_  )

    UpperCAmelCase    				=						inputs['history_prompt']
    for key in voice_preset:
      self.assertListEqual(voice_preset[key].tolist() ,			processed_voice_preset.get(a_ ,			np.array([]  )  ).tolist()  )

    # test loading voice preset from npz file
    UpperCAmelCase    				=						os.path.join(self.tmpdirname ,			'file.npz'  )
    np.savez(a_ ,			**a_  )
    UpperCAmelCase    				=						processor(text=self.input_string ,			voice_preset=a_  )
    UpperCAmelCase    				=						inputs['history_prompt']

    for key in voice_preset:
      self.assertListEqual(voice_preset[key].tolist() ,			processed_voice_preset.get(a_ ,			np.array([]  )  ).tolist()  )

    # test loading voice preset from the hub
    UpperCAmelCase    				=						processor(text=self.input_string ,			voice_preset=self.voice_preset  )





  def     snake_case_      (  self  )				->					List[Any]:


    """simple docstring"""
    UpperCAmelCase    				=						self.get_tokenizer()

    UpperCAmelCase    				=						BarkProcessor(tokenizer=a_  )

    UpperCAmelCase    				=						processor(text=self.input_string  )

    UpperCAmelCase    				=						tokenizer(
        self.input_string ,			padding='max_length' ,			max_length=2_5_6 ,			add_special_tokens=a_ ,			return_attention_mask=a_ ,			return_token_type_ids=a_ ,			)

    for key in encoded_tok.keys():
      self.assertListEqual(encoded_tok[key] ,			encoded_processor[key].squeeze().tolist()  )


