import random
import shutil
import tempfile
import unittest

import numpy as np

from transformers import TaTokenizer, TaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torch
from transformers.utils.import_utils import is_speech_available, is_torch_available


if is_torch_available():
		pass

if is_speech_available():
		from transformers import EncodecFeatureExtractor, MusicgenProcessor


__a  :					str          =  random.Random()





def     UpperCAmelCase						(   lowercase							,      lowercase=1.0							,      lowercase=None							,      lowercase=None							):







				"""simple docstring"""



				if rng is None:
								__lowercase			      =							global_rng

				__lowercase			      =							[]
				for batch_idx in range(shape[0]							):
								values.append([]							)
								for _ in range(shape[1]							):
												values[-1].append(rng.random() * scale							)

				return values




@require_torch
@require_sentencepiece
class        _UpperCamelCase				(						unittest.TestCase			):


			"""simple docstring"""






			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> str:

							'''simple docstring'''


							__lowercase			      =							'''facebook/musicgen-small'''
							__lowercase			      =							tempfile.mkdtemp()





			def 	_SCREAMING_SNAKE_CASE      (       self				,       **lowerCAmelCase__						)					-> str:

							'''simple docstring'''


							return TaTokenizer.from_pretrained(self.checkpoint				,       **lowerCAmelCase__						)





			def 	_SCREAMING_SNAKE_CASE      (       self				,       **lowerCAmelCase__						)					-> str:

							'''simple docstring'''


							return EncodecFeatureExtractor.from_pretrained(self.checkpoint				,       **lowerCAmelCase__						)





			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> str:

							'''simple docstring'''


							shutil.rmtree(self.tmpdirname						)





			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> List[str]:

							'''simple docstring'''


							__lowercase			      =							self.get_tokenizer()
							__lowercase			      =							self.get_feature_extractor()

							__lowercase			      =							MusicgenProcessor(tokenizer=lowerCAmelCase__				,       feature_extractor=lowerCAmelCase__						)

							processor.save_pretrained(self.tmpdirname						)
							__lowercase			      =							MusicgenProcessor.from_pretrained(self.tmpdirname						)

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

							self.assertEqual(processor.feature_extractor.to_json_string()				,       feature_extractor.to_json_string()						)
							self.assertIsInstance(processor.feature_extractor				,       lowerCAmelCase__						)





			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> List[str]:

							'''simple docstring'''


							__lowercase			      =							MusicgenProcessor(tokenizer=self.get_tokenizer()				,       feature_extractor=self.get_feature_extractor()						)
							processor.save_pretrained(self.tmpdirname						)

							__lowercase			      =							self.get_tokenizer(bos_token='''(BOS)'''				,       eos_token='''(EOS)'''						)
							__lowercase			      =							self.get_feature_extractor(do_normalize=lowerCAmelCase__				,       padding_value=1.0						)

							__lowercase			      =							MusicgenProcessor.from_pretrained(
							    self.tmpdirname				,       bos_token='''(BOS)'''				,       eos_token='''(EOS)'''				,       do_normalize=lowerCAmelCase__				,       padding_value=1.0						)

							self.assertEqual(processor.tokenizer.get_vocab()				,       tokenizer_add_kwargs.get_vocab()						)
							self.assertIsInstance(processor.tokenizer				,       lowerCAmelCase__						)

							self.assertEqual(processor.feature_extractor.to_json_string()				,       feature_extractor_add_kwargs.to_json_string()						)
							self.assertIsInstance(processor.feature_extractor				,       lowerCAmelCase__						)





			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> Any:

							'''simple docstring'''


							__lowercase			      =							self.get_feature_extractor()
							__lowercase			      =							self.get_tokenizer()

							__lowercase			      =							MusicgenProcessor(tokenizer=lowerCAmelCase__				,       feature_extractor=lowerCAmelCase__						)

							__lowercase			      =							floats_list((3, 10_00)						)

							__lowercase			      =							feature_extractor(lowerCAmelCase__				,       return_tensors='''np'''						)
							__lowercase			      =							processor(lowerCAmelCase__				,       return_tensors='''np'''						)

							for key in input_feat_extract.keys():
											self.assertAlmostEqual(input_feat_extract[key].sum()				,       input_processor[key].sum()				,       delta=1E-2						)





			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> List[str]:

							'''simple docstring'''


							__lowercase			      =							self.get_feature_extractor()
							__lowercase			      =							self.get_tokenizer()

							__lowercase			      =							MusicgenProcessor(tokenizer=lowerCAmelCase__				,       feature_extractor=lowerCAmelCase__						)

							__lowercase			      =							'''This is a test string'''

							__lowercase			      =							processor(text=lowerCAmelCase__						)

							__lowercase			      =							tokenizer(lowerCAmelCase__						)

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





			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> List[str]:

							'''simple docstring'''


							__lowercase			      =							self.get_feature_extractor()
							__lowercase			      =							self.get_tokenizer()

							__lowercase			      =							MusicgenProcessor(tokenizer=lowerCAmelCase__				,       feature_extractor=lowerCAmelCase__						)

							__lowercase			      =							[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

							__lowercase			      =							processor.batch_decode(sequences=lowerCAmelCase__						)
							__lowercase			      =							tokenizer.batch_decode(lowerCAmelCase__						)

							self.assertListEqual(lowerCAmelCase__				,       lowerCAmelCase__						)





			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> Tuple:

							'''simple docstring'''


							__lowercase			      =							self.get_feature_extractor()
							__lowercase			      =							self.get_tokenizer()

							__lowercase			      =							MusicgenProcessor(tokenizer=lowerCAmelCase__				,       feature_extractor=lowerCAmelCase__						)

							self.assertListEqual(
							    processor.model_input_names				,       feature_extractor.model_input_names				,       msg='''`processor` and `feature_extractor` model input names do not match'''				,       )





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

							'''simple docstring'''


							__lowercase			      =							self.get_feature_extractor(padding_side='''left'''						)
							__lowercase			      =							self.get_tokenizer()

							__lowercase			      =							MusicgenProcessor(tokenizer=lowerCAmelCase__				,       feature_extractor=lowerCAmelCase__						)

							__lowercase			      =							[floats_list((1, x)						)[0] for x in range(5				,       20				,       5						)]
							__lowercase			      =							processor(lowerCAmelCase__						).padding_mask

							__lowercase			      =							np.asarray(floats_list((3, 20)						)						)[:, None, :]
							__lowercase			      =							processor.batch_decode(lowerCAmelCase__				,       padding_mask=lowerCAmelCase__						)

							self.assertIsInstance(lowerCAmelCase__				,       lowerCAmelCase__						)

							for audio in decoded_audios:
											self.assertIsInstance(lowerCAmelCase__				,       np.ndarray						)

							self.assertTrue(decoded_audios[0].shape == (1, 10)						)
							self.assertTrue(decoded_audios[1].shape == (1, 15)						)
							self.assertTrue(decoded_audios[2].shape == (1, 20)						)
__a  :					Union[str, Any]          =  [[0, 1, 1], [0, 0, 1], [1, 0, 0]]




class        _UpperCamelCase				:


			"""simple docstring"""






			def __init__(       self				,       lowerCAmelCase__						)					-> List[str]:

							'''simple docstring'''


							__lowercase			      =							name
							__lowercase			      =							[]
							__lowercase			      =							[]





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

							'''simple docstring'''


							self.inbound.append(lowerCAmelCase__						)





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

							'''simple docstring'''


							self.outbound.append(lowerCAmelCase__						)





			def __repr__(       self						)					-> Tuple:

							'''simple docstring'''


							return F"<node={self.name} inbound={self.inbound} outbound={self.outbound}>"





def     UpperCAmelCase						(   lowercase							,      lowercase=3							,      lowercase=0.85							):







				"""simple docstring"""



				__lowercase			      =							{}
				for node in nodes:
								__lowercase			      =							1

				__lowercase			      =							{}
				for node in nodes:
								__lowercase			      =							len(node.outbound							)

				for i in range(lowercase							):
								print(F"======= Iteration {i + 1} ======="							)
								for _, node in enumerate(lowercase							):
												__lowercase			      =							(1 - d) + d * sum(
												    ranks[ib] / outbounds[ib] for ib in node.inbound							)
								print(lowercase							)





def     UpperCAmelCase						(   ):







				"""simple docstring"""



				__lowercase			      =							list(input('''Enter Names of the Nodes: '''							).split()							)

				__lowercase			      =							[Node(lowercase							) for name in names]

				for ri, row in enumerate(lowercase							):
								for ci, col in enumerate(lowercase							):
												if col == 1:
																nodes[ci].add_inbound(names[ri]							)
																nodes[ri].add_outbound(names[ci]							)

				print('''======= Nodes ======='''							)
				for node in nodes:
								print(lowercase							)

				page_rank(lowercase							)


if __name__ == "__main__":
		main()