




'''simple docstring'''


def 						lowerCamelCase__   (				a    ,	a							):
						if discount_rate < 0:
												raise ValueError('Discount rate cannot be negative'							)
						if not cash_flows:
												raise ValueError('Cash flows list cannot be empty'							)
						__snake_case						 =   sum(
						    cash_flow / ((1 + discount_rate) ** i) for i, cash_flow in enumerate(__snake_case							)							)
						return round(__snake_case    ,	ndigits=2							)


if __name__ == "__main__":
	import doctest

	doctest.testmod()


import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_lowerCAmelCase       =		"▁"

_lowerCAmelCase       =		get_tests_dir("fixtures/test_sentencepiece.model")
@require_sentencepiece
class     lowerCAmelCase_     (       __lowercase,  unittest.TestCase ):
							UpperCAmelCase				   =     BertGenerationTokenizer
							UpperCAmelCase				   =     False
							UpperCAmelCase				   =     True







							def  UpperCamelCase_						(   self      :     List[str]		):
												super().setUp()

												_UpperCamelCase			     =     BertGenerationTokenizer(_A ,			keep_accents=_A		)
												tokenizer.save_pretrained(self.tmpdirname		)







							def  UpperCamelCase_						(   self      :     Dict		):
												_UpperCamelCase			     =     '''<s>'''
												_UpperCamelCase			     =     1

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







							def  UpperCamelCase_						(   self      :     Any		):
												_UpperCamelCase			     =     list(self.get_tokenizer().get_vocab().keys()		)

												self.assertEqual(vocab_keys[0] ,			'''<unk>'''		)
												self.assertEqual(vocab_keys[1] ,			'''<s>'''		)
												self.assertEqual(vocab_keys[-1] ,			'''<pad>'''		)
												self.assertEqual(len(_A		) ,			1002		)







							def  UpperCamelCase_						(   self      :     Dict		):
												self.assertEqual(self.get_tokenizer().vocab_size ,			1000		)







							def  UpperCamelCase_						(   self      :     int		):
												_UpperCamelCase			     =     BertGenerationTokenizer(_A ,			keep_accents=_A		)

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

												self.assertListEqual(
												    tokenizer.convert_tokens_to_ids(_A		) ,			[285, 46, 10, 170, 382] ,			)

												_UpperCamelCase			     =     tokenizer.tokenize('''I was born in 92000, and this is falsé.'''		)
												self.assertListEqual(
												    _A ,			[
												        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			     =     tokenizer.convert_tokens_to_ids(_A		)
												self.assertListEqual(
												    _A ,			[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4] ,			)

												_UpperCamelCase			     =     tokenizer.convert_ids_to_tokens(_A		)
												self.assertListEqual(
												    _A ,			[
												        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>''',
												        '''.''',
												    ] ,			)







							@cached_property
							def  UpperCamelCase_						(   self      :     Union[str, Any]		):
												return BertGenerationTokenizer.from_pretrained('''google/bert_for_seq_generation_L-24_bbc_encoder'''		)







							@slow
							def  UpperCamelCase_						(   self      :     Optional[Any]		):
												_UpperCamelCase			     =     '''Hello World!'''
												_UpperCamelCase			     =     [1_8536, 2260, 101]

												self.assertListEqual(_A ,			self.big_tokenizer.encode(_A		)		)







							@slow
							def  UpperCamelCase_						(   self      :     int		):
												_UpperCamelCase			     =     (
												    '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
												    ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
												)
												_UpperCamelCase			     =     [
												    871,
												    419,
												    358,
												    946,
												    991,
												    2521,
												    452,
												    358,
												    1357,
												    387,
												    7751,
												    3536,
												    112,
												    985,
												    456,
												    126,
												    865,
												    938,
												    5400,
												    5734,
												    458,
												    1368,
												    467,
												    786,
												    2462,
												    5246,
												    1159,
												    633,
												    865,
												    4519,
												    457,
												    582,
												    852,
												    2557,
												    427,
												    916,
												    508,
												    405,
												    3_4324,
												    497,
												    391,
												    408,
												    1_1342,
												    1244,
												    385,
												    100,
												    938,
												    985,
												    456,
												    574,
												    362,
												    1_2597,
												    3200,
												    3129,
												    1172,
												]

												self.assertListEqual(_A ,			self.big_tokenizer.encode(_A		)		)







							@require_torch
							@slow
							def  UpperCamelCase_						(   self      :     Dict		):
												import torch

												from transformers import BertGenerationConfig, BertGenerationEncoder

												# Build sequence
												_UpperCamelCase			     =     list(self.big_tokenizer.get_vocab().keys()		)[:10]
												_UpperCamelCase			     =     ''' '''.join(_A		)
												_UpperCamelCase			     =     self.big_tokenizer.encode_plus(_A ,			return_tensors='''pt''' ,			return_token_type_ids=_A		)
												_UpperCamelCase			     =     self.big_tokenizer.batch_encode_plus(
												    [sequence + ''' ''' + sequence] ,			return_tensors='''pt''' ,			return_token_type_ids=_A		)

												_UpperCamelCase			     =     BertGenerationConfig()
												_UpperCamelCase			     =     BertGenerationEncoder(_A		)

												assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

												with torch.no_grad():
																	model(**_A		)
																	model(**_A		)







							@slow
							def  UpperCamelCase_						(   self      :     Dict		):
												# fmt: off
												_UpperCamelCase			     =     {'''input_ids''': [[3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114], [448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 114, 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], [484, 2169, 7687, 2_1932, 1_8146, 726, 363, 1_7032, 3391, 114, 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]], '''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, 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, 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=_A ,			model_name='''google/bert_for_seq_generation_L-24_bbc_encoder''' ,			revision='''c817d1fd1be2ffa69431227a1fe320544943d4db''' ,			)
