

from __future__ import annotations






def 					lowerCamelCase_     (							UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     int	)						->				list[str]:




	'''simple docstring'''




	if partitions <= 0:
		raise ValueError('partitions must be a positive number!'	)
	if partitions > number_of_bytes:
		raise ValueError('partitions can not > number_of_bytes!'	)
	_UpperCamelCase   :		List[Any]			=						number_of_bytes // partitions
	_UpperCamelCase   :		Optional[Any]			=						[]
	for i in range(UpperCAmelCase_	):
		_UpperCamelCase   :		Any			=						i * bytes_per_partition + 1
		_UpperCamelCase   :		Tuple			=						(
		    number_of_bytes if i == partitions - 1 else (i + 1) * bytes_per_partition
		)
		allocation_list.append(F'''{start_bytes}-{end_bytes}'''	)
	return allocation_list


if __name__ == "__main__":
							import doctest

							doctest.testmod()







import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SPIECE_UNDERLINE, is_sentencepiece_available
from transformers.models.speech_to_text import SpeechaTextTokenizer
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase__								=		get_tests_dir("""fixtures/test_sentencepiece.model""")

if is_sentencepiece_available():
							import sentencepiece as sp


lowerCAmelCase__								=		5
lowerCAmelCase__								=		1_0







@require_sentencepiece
@require_tokenizers
class 	lowercase    (				_lowercase    ,							unittest.TestCase							):


		"""simple docstring"""




		a__					       =  SpeechaTextTokenizer
		a__					       =  False
		a__					       =  True


		def 		A__					(				self):
			super().setUp()

			_UpperCamelCase   :		Any			=						sp.SentencePieceProcessor()
			spm_model.Load(__snake_case)
			_UpperCamelCase   :		List[str]			=						['<s>', '<pad>', '</s>', '<unk>']

			vocab += [spm_model.IdToPiece(id_) for id_ in range(len(__snake_case))]
			_UpperCamelCase   :		Dict			=						dict(zip(__snake_case	,       range(len(__snake_case))))

			_UpperCamelCase   :		Tuple			=						Path(self.tmpdirname)
			save_json(__snake_case	,       save_dir / VOCAB_FILES_NAMES['vocab_file'])
			if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
				copyfile(__snake_case	,       save_dir / VOCAB_FILES_NAMES['spm_file'])

			_UpperCamelCase   :		int			=						SpeechaTextTokenizer.from_pretrained(self.tmpdirname)
			tokenizer.save_pretrained(self.tmpdirname)


		def 		A__					(				self):
			_UpperCamelCase   :		str			=						'<pad>'
			_UpperCamelCase   :		Dict			=						1

			self.assertEqual(self.get_tokenizer()._convert_token_to_id(__snake_case)	,       __snake_case)
			self.assertEqual(self.get_tokenizer()._convert_id_to_token(__snake_case)	,       __snake_case)


		def 		A__					(				self):
			_UpperCamelCase   :		Optional[Any]			=						list(self.get_tokenizer().get_vocab().keys())

			self.assertEqual(vocab_keys[0]	,       '<s>')
			self.assertEqual(vocab_keys[1]	,       '<pad>')
			self.assertEqual(vocab_keys[-1]	,       'j')
			self.assertEqual(len(__snake_case)	,       10_01)


		def 		A__					(				self):
			self.assertEqual(self.get_tokenizer().vocab_size	,       10_01)


		def 		A__					(				self):
			_UpperCamelCase   :		Any			=						SpeechaTextTokenizer.from_pretrained(self.tmpdirname)

			_UpperCamelCase   :		List[str]			=						tokenizer.tokenize('This is a test')
			self.assertListEqual(__snake_case	,       ['▁This', '▁is', '▁a', '▁t', 'est'])

			self.assertListEqual(
			    tokenizer.convert_tokens_to_ids(__snake_case)	,       [2_89, 50, 14, 1_74, 3_86]	,       )

			_UpperCamelCase   :		int			=						tokenizer.tokenize('I was born in 92000, and this is falsé.')
			self.assertListEqual(
			    __snake_case	,       [SPIECE_UNDERLINE + 'I', SPIECE_UNDERLINE + 'was', SPIECE_UNDERLINE + 'b', 'or', 'n', SPIECE_UNDERLINE + 'in', SPIECE_UNDERLINE + '', '9', '2', '0', '0', '0', ',', SPIECE_UNDERLINE + 'and', SPIECE_UNDERLINE + 'this', SPIECE_UNDERLINE + 'is', SPIECE_UNDERLINE + 'f', 'al', 's', 'é', '.']	,       )
			_UpperCamelCase   :		int			=						tokenizer.convert_tokens_to_ids(__snake_case)
			self.assertListEqual(__snake_case	,       [12, 25, 88, 59, 28, 23, 11, 4, 6_06, 3_51, 3_51, 3_51, 7, 16, 70, 50, 76, 84, 10, 4, 8])

			_UpperCamelCase   :		Tuple			=						tokenizer.convert_ids_to_tokens(__snake_case)
			self.assertListEqual(
			    __snake_case	,       [SPIECE_UNDERLINE + 'I', SPIECE_UNDERLINE + 'was', SPIECE_UNDERLINE + 'b', 'or', 'n', SPIECE_UNDERLINE + 'in', SPIECE_UNDERLINE + '', '<unk>', '2', '0', '0', '0', ',', SPIECE_UNDERLINE + 'and', SPIECE_UNDERLINE + 'this', SPIECE_UNDERLINE + 'is', SPIECE_UNDERLINE + 'f', 'al', 's', '<unk>', '.']	,       )






		@slow
		def 		A__					(				self):
			# fmt: off
			_UpperCamelCase   :		Optional[int]			=						{'input_ids': [[37_91, 7_97, 31, 11, 64, 7_97, 31, 24_29, 4_33, 12, 11_76, 12, 20, 7_86, 9_15, 1_42, 24_13, 2_40, 37, 32_38, 7_97, 31, 11, 35, 93, 9_15, 1_42, 24_13, 2_40, 37, 55_40, 5_67, 12_76, 93, 37, 6_10, 40, 62, 4_55, 6_57, 10_42, 1_23, 7_80, 1_77, 37, 3_09, 2_41, 12_98, 5_14, 20, 2_92, 27_37, 1_14, 24_69, 2_41, 85, 64, 3_02, 5_48, 5_28, 4_23, 4, 5_09, 4_06, 4_23, 37, 6_01, 4, 7_77, 3_02, 5_48, 5_28, 4_23, 2_84, 4, 33_88, 5_11, 4_59, 4, 35_55, 40, 3_21, 3_02, 7_05, 4, 33_88, 5_11, 5_83, 3_26, 5, 5, 5, 62, 33_10, 5_60, 1_77, 26_80, 2_17, 15_08, 32, 31, 8_53, 4_18, 64, 5_83, 5_11, 16_05, 62, 35, 93, 5_60, 1_77, 26_80, 2_17, 15_08, 15_21, 64, 5_83, 5_11, 5_19, 62, 20, 15_15, 7_64, 20, 1_49, 2_61, 56_25, 79_72, 20, 55_40, 5_67, 12_76, 93, 39_25, 16_75, 11, 15, 8_02, 79_72, 5_76, 2_17, 15_08, 11, 35, 93, 12_53, 24_41, 15, 2_89, 6_52, 31, 4_16, 3_21, 38_42, 1_15, 40, 9_11, 8, 4_76, 6_19, 4, 3_80, 1_42, 4_23, 3_35, 2_40, 35, 93, 2_64, 8, 11, 3_35, 5_69, 4_20, 1_63, 5, 2], [2_60, 5_48, 5_28, 4_23, 20, 4_51, 20, 26_81, 11_53, 34_34, 20, 55_40, 37, 5_67, 1_26, 12_53, 24_41, 33_76, 4_49, 2_10, 4_31, 15_63, 1_77, 7_67, 55_40, 11, 12_03, 4_72, 11, 29_53, 6_85, 2_85, 3_64, 7_06, 11_53, 20, 67_99, 20, 28_69, 20, 44_64, 1_26, 40, 24_29, 20, 10_40, 8_66, 26_64, 4_18, 20, 3_18, 20, 17_26, 1_86, 20, 2_65, 5_22, 35, 93, 21_91, 46_34, 20, 10_40, 12, 67_99, 15, 2_28, 23_56, 1_42, 31, 11, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [25_75, 26_66, 6_84, 15_82, 11_76, 12, 6_27, 1_49, 6_19, 20, 49_02, 5_63, 11, 20, 1_49, 2_61, 34_20, 23_56, 1_74, 1_42, 47_14, 1_31, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
			# fmt: on

			self.tokenizer_integration_test_util(
			    expected_encoding=__snake_case	,       model_name='facebook/s2t-small-mustc-en-de-st'	,       revision='a14f04cf0776c02f62a8cb800cf7909e15ea23ad'	,       )







@require_sentencepiece
class 	lowercase    (				unittest.TestCase							):


		"""simple docstring"""




		a__					       =  "valhalla/s2t_mustc_multilinguial_medium"

		a__					       =  "C'est trop cool"
		a__					       =  "Esto es genial"


		@classmethod
		def 		A__					(				cls):
			_UpperCamelCase   :		SpeechaTextTokenizer			=						SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name)
			return cls


		def 		A__					(				self):
			self.assertEqual(self.tokenizer.lang_code_to_id['pt']	,       4)
			self.assertEqual(self.tokenizer.lang_code_to_id['ru']	,       6)
			self.assertEqual(self.tokenizer.lang_code_to_id['it']	,       9)
			self.assertEqual(self.tokenizer.lang_code_to_id['de']	,       11)


		def 		A__					(				self):
			self.assertEqual(self.tokenizer.vocab_size	,       1_00_00)


		def 		A__					(				self):
			self.assertIn(__snake_case	,       self.tokenizer.all_special_ids)
			_UpperCamelCase   :		Optional[int]			=						[ES_CODE, 4, 16_01, 47, 76_47, 2]
			_UpperCamelCase   :		Tuple			=						self.tokenizer.decode(__snake_case	,       skip_special_tokens=__snake_case)
			_UpperCamelCase   :		Dict			=						self.tokenizer.decode(generated_ids[1:]	,       skip_special_tokens=__snake_case)
			self.assertEqual(__snake_case	,       __snake_case)
			self.assertNotIn(self.tokenizer.eos_token	,       __snake_case)


		def 		A__					(				self):
			_UpperCamelCase   :		Any			=						'fr'
			_UpperCamelCase   :		List[Any]			=						self.tokenizer(self.french_text).input_ids
			self.assertEqual(encoded[0]	,       __snake_case)
			self.assertEqual(encoded[-1]	,       self.tokenizer.eos_token_id)






		def 		A__					(				self):
			_UpperCamelCase   :		Union[str, Any]			=						'fr'
			self.assertListEqual(self.tokenizer.prefix_tokens	,       [FR_CODE])

			_UpperCamelCase   :		List[str]			=						'es'
			self.assertListEqual(self.tokenizer.prefix_tokens	,       [ES_CODE])




