"""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 							a					(		unittest.TestCase ):


    def   lowerCAmelCase_	(       self						:	int       ):
      _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   lowerCAmelCase_	(       self						:	Tuple ,					**__lowerCAmelCase						:	List[Any]       ):
      return AutoTokenizer.from_pretrained(self.checkpoint ,					**__lowerCAmelCase       )


    def   lowerCAmelCase_	(       self						:	Tuple       ):
      shutil.rmtree(self.tmpdirname       )


    def   lowerCAmelCase_	(       self						:	int       ):
      _UpperCAmelCase    			=   self.get_tokenizer()

      _UpperCAmelCase    			=   BarkProcessor(tokenizer=__lowerCAmelCase       )

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

      self.assertEqual(processor.tokenizer.get_vocab() ,					tokenizer.get_vocab()       )


    @slow
    def   lowerCAmelCase_	(       self						:	Tuple       ):
      _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   lowerCAmelCase_	(       self						:	List[str]       ):
      _UpperCAmelCase    			=   BarkProcessor.from_pretrained(
          pretrained_processor_name_or_path=self.checkpoint ,					speaker_embeddings_dict_path=self.speaker_embeddings_dict_path ,					)

      _UpperCAmelCase    			=   35
      _UpperCAmelCase    			=   2
      _UpperCAmelCase    			=   8

      _UpperCAmelCase    			=   {
          """semantic_prompt""": np.ones(__lowerCAmelCase       ),
          """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=__lowerCAmelCase       )

      _UpperCAmelCase    			=   inputs["""history_prompt"""]
      for key in voice_preset:
        self.assertListEqual(voice_preset[key].tolist() ,					processed_voice_preset.get(__lowerCAmelCase ,					np.array([]       )       ).tolist()       )

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

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

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


    def   lowerCAmelCase_	(       self						:	int       ):
      _UpperCAmelCase    			=   self.get_tokenizer()

      _UpperCAmelCase    			=   BarkProcessor(tokenizer=__lowerCAmelCase       )

      _UpperCAmelCase    			=   processor(text=self.input_string       )

      _UpperCAmelCase    			=   tokenizer(
          self.input_string ,					padding="""max_length""" ,					max_length=256 ,					add_special_tokens=__lowerCAmelCase ,					return_attention_mask=__lowerCAmelCase ,					return_token_type_ids=__lowerCAmelCase ,					)

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

"""simple docstring"""


from __future__ import annotations

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase = False		):







  """simple docstring"""
  if radian_mode:
    return [magnitude * cos(lowercase		), magnitude * sin(lowercase		)]
  return [magnitude * cos(radians(lowercase		)		), magnitude * sin(radians(lowercase		)		)]






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase = 10**-1		):







  """simple docstring"""
  _UpperCAmelCase    			=   cross(lowercase ,lowercase		)
  _UpperCAmelCase    			=   sum(lowercase		)
  return abs(lowercase		) < eps


if __name__ == "__main__":
    # Test to check if it works
    UpperCAmelCase__			=    array(
        [
            polar_force(718.4, 1_8_0 - 3_0),
            polar_force(879.54, 4_5),
            polar_force(1_0_0, -9_0),
        ]
    )

    UpperCAmelCase__			=    array([[0, 0], [0, 0], [0, 0]])

    assert in_static_equilibrium(forces, location)

    # Problem 1 in image_data/2D_problems.jpg
    UpperCAmelCase__			=    array(
        [
            polar_force(3_0 * 9.81, 1_5),
            polar_force(2_1_5, 1_8_0 - 4_5),
            polar_force(2_6_4, 9_0 - 3_0),
        ]
    )

    UpperCAmelCase__			=    array([[0, 0], [0, 0], [0, 0]])

    assert in_static_equilibrium(forces, location)

    # Problem in image_data/2D_problems_1.jpg
    UpperCAmelCase__			=    array([[0, -2_0_0_0], [0, -1_2_0_0], [0, 1_5_6_0_0], [0, -1_2_4_0_0]])

    UpperCAmelCase__			=    array([[0, 0], [6, 0], [1_0, 0], [1_2, 0]])

    assert in_static_equilibrium(forces, location)

    import doctest

    doctest.testmod()
