




'''simple docstring'''


from manim import *
class 						a_				(			UpperCAmelCase__						):




	def   lowercase__   (       self     :  Optional[int]      ):
							__snake_case						 =   Rectangle(height=0.5       ,		width=0.5      )
							__snake_case						 =   Rectangle(height=0.46       ,		width=0.46      ).set_stroke(width=0      )

							__snake_case						 =   [mem.copy() for i in range(6      )]
							__snake_case						 =   [mem.copy() for i in range(6      )]
							__snake_case						 =   VGroup(*__lowerCAmelCase      ).arrange(__lowerCAmelCase       ,		buff=0      )
							__snake_case						 =   VGroup(*__lowerCAmelCase      ).arrange(__lowerCAmelCase       ,		buff=0      )
							__snake_case						 =   VGroup(__lowerCAmelCase       ,		__lowerCAmelCase      ).arrange(__lowerCAmelCase       ,		buff=0      )
							__snake_case						 =   Text('CPU'       ,		font_size=2_4      )
							__snake_case						 =   Group(__lowerCAmelCase       ,		__lowerCAmelCase      ).arrange(__lowerCAmelCase       ,		buff=0.5       ,		aligned_edge=__lowerCAmelCase      )
							cpu.move_to([-2.5, -0.5, 0]      )
							self.add(__lowerCAmelCase      )

							__snake_case						 =   [mem.copy() for i in range(1      )]
							__snake_case						 =   VGroup(*__lowerCAmelCase      ).arrange(__lowerCAmelCase       ,		buff=0      )
							__snake_case						 =   Text('GPU'       ,		font_size=2_4      )
							__snake_case						 =   Group(__lowerCAmelCase       ,		__lowerCAmelCase      ).arrange(__lowerCAmelCase       ,		buff=0.5       ,		aligned_edge=__lowerCAmelCase      )
							gpu.align_to(__lowerCAmelCase       ,		__lowerCAmelCase      )
							gpu.set_x(gpu.get_x() - 1      )

							self.add(__lowerCAmelCase      )

							__snake_case						 =   [mem.copy() for i in range(6      )]
							__snake_case						 =   VGroup(*__lowerCAmelCase      ).arrange(__lowerCAmelCase       ,		buff=0      )

							__snake_case						 =   Text('Model'       ,		font_size=2_4      )
							__snake_case						 =   Group(__lowerCAmelCase       ,		__lowerCAmelCase      ).arrange(__lowerCAmelCase       ,		buff=0.5       ,		aligned_edge=__lowerCAmelCase      )
							model.move_to([3, -1.0, 0]      )

							self.play(
							    Create(__lowerCAmelCase       ,		run_time=1      )       ,		Create(__lowerCAmelCase       ,		run_time=1      )       ,		Create(__lowerCAmelCase       ,		run_time=1      )       ,		)

							__snake_case						 =   MarkupText(
							    F'First, an empty model skeleton is loaded\ninto <span fgcolor=\'{YELLOW}\'>memory</span> without using much RAM.'       ,		font_size=2_4       ,		)

							__snake_case						 =   Square(side_length=2.2      )
							key.move_to([-5, 2, 0]      )

							__snake_case						 =   MarkupText(
							    F'<b>Key:</b>\n\n<span fgcolor=\'{YELLOW}\'>●</span> Empty Model'       ,		font_size=1_8       ,		)

							key_text.move_to([-5, 2.4, 0]      )

							step_a.move_to([2, 2, 0]      )
							self.play(Write(__lowerCAmelCase       ,		run_time=2.5      )       ,		Write(__lowerCAmelCase      )       ,		Write(__lowerCAmelCase      )      )

							self.add(__lowerCAmelCase      )

							__snake_case						 =   []
							__snake_case						 =   []
							__snake_case						 =   []
							for i, rect in enumerate(__lowerCAmelCase      ):
													__snake_case						 =   Rectangle(height=0.46       ,		width=0.46      ).set_stroke(width=0.0      ).set_fill(__lowerCAmelCase       ,		opacity=0.7      )
													cpu_target.move_to(__lowerCAmelCase      )
													cpu_target.generate_target()
													__snake_case						 =   0.46 / 4
													__snake_case						 =   0.46 / 3

													if i == 0:
																			cpu_target.target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT      )       ,		buff=0.02       ,		direction=__lowerCAmelCase      )
																			cpu_target.target.set_x(cpu_target.target.get_x() + 0.1      )
													elif i == 3:
																			cpu_target.target.next_to(cpu_targs[0].target       ,		direction=__lowerCAmelCase       ,		buff=0.0      )
													else:
																			cpu_target.target.next_to(cpu_targs[i - 1].target       ,		direction=__lowerCAmelCase       ,		buff=0.0      )
													cpu_targs.append(__lowerCAmelCase      )

													first_animations.append(rect.animate(run_time=0.5      ).set_stroke(__lowerCAmelCase      )      )
													second_animations.append(MoveToTarget(__lowerCAmelCase       ,		run_time=1.5      )      )

							self.play(*__lowerCAmelCase      )
							self.play(*__lowerCAmelCase      )

							self.wait()







'''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   lowercase__   (       self     :  Optional[Any]      ):
							__snake_case						 =   'ylacombe/bark-small'
							__snake_case						 =   tempfile.mkdtemp()
							__snake_case						 =   'en_speaker_1'
							__snake_case						 =   'This is a test string'
							__snake_case						 =   'speaker_embeddings_path.json'
							__snake_case						 =   'speaker_embeddings'




	def   lowercase__   (       self     :  int       ,		**__lowerCAmelCase     :  str      ):
							return AutoTokenizer.from_pretrained(self.checkpoint       ,		**__lowerCAmelCase      )




	def   lowercase__   (       self     :  List[Any]      ):
							shutil.rmtree(self.tmpdirname      )




	def   lowercase__   (       self     :  Dict      ):
							__snake_case						 =   self.get_tokenizer()

							__snake_case						 =   BarkProcessor(tokenizer=__lowerCAmelCase      )

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

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




	@slow
	def   lowercase__   (       self     :  int      ):
							__snake_case						 =   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       ,		)

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

							__snake_case						 =   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   lowercase__   (       self     :  str      ):
							__snake_case						 =   BarkProcessor.from_pretrained(
							    pretrained_processor_name_or_path=self.checkpoint       ,		speaker_embeddings_dict_path=self.speaker_embeddings_dict_path       ,		)

							__snake_case						 =   3_5
							__snake_case						 =   2
							__snake_case						 =   8

							__snake_case						 =   {
							    '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
							__snake_case						 =   processor(text=self.input_string       ,		voice_preset=__lowerCAmelCase      )

							__snake_case						 =   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
							__snake_case						 =   os.path.join(self.tmpdirname       ,		'file.npz'      )
							np.savez(__lowerCAmelCase       ,		**__lowerCAmelCase      )
							__snake_case						 =   processor(text=self.input_string       ,		voice_preset=__lowerCAmelCase      )
							__snake_case						 =   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
							__snake_case						 =   processor(text=self.input_string       ,		voice_preset=self.voice_preset      )




	def   lowercase__   (       self     :  int      ):
							__snake_case						 =   self.get_tokenizer()

							__snake_case						 =   BarkProcessor(tokenizer=__lowerCAmelCase      )

							__snake_case						 =   processor(text=self.input_string      )

							__snake_case						 =   tokenizer(
							    self.input_string       ,		padding='max_length'       ,		max_length=2_5_6       ,		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()      )

