


import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, 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
@require_tokenizers
class   __a      (   __snake_case	,	unittest.TestCase				):
	__lowercase			:							Tuple       					=			BigBirdTokenizer
	__lowercase			:							Dict       					=			BigBirdTokenizerFast
	__lowercase			:							Union[str, Any]       					=			True
	__lowercase			:							Optional[Any]       					=			True
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Tuple:




								'''simple docstring'''
								super().setUp()

								lowercase__:       int        =       self.tokenizer_class(UpperCamelCase__    ,			keep_accents=UpperCamelCase__			)
								tokenizer.save_pretrained(self.tmpdirname			)
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Optional[int]:




								'''simple docstring'''
								lowercase__:       Union[str, Any]        =       "<s>"
								lowercase__:       Optional[int]        =       1

								self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCamelCase__			)    ,			UpperCamelCase__			)
								self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCamelCase__			)    ,			UpperCamelCase__			)
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    int:




								'''simple docstring'''
								lowercase__:       Tuple        =       list(self.get_tokenizer().get_vocab().keys()			)

								self.assertEqual(vocab_keys[0]    ,			'<unk>'			)
								self.assertEqual(vocab_keys[1]    ,			'<s>'			)
								self.assertEqual(vocab_keys[-1]    ,			'[MASK]'			)
								self.assertEqual(len(UpperCamelCase__			)    ,			1_004			)
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Dict:




								'''simple docstring'''
								self.assertEqual(self.get_tokenizer().vocab_size    ,			1_000			)
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    List[str]:




								'''simple docstring'''


								if not self.test_rust_tokenizer:
															return

								lowercase__:       Union[str, Any]        =       self.get_tokenizer()
								lowercase__:       int        =       self.get_rust_tokenizer()

								lowercase__:       Union[str, Any]        =       "I was born in 92000, and this is falsé."

								lowercase__:       int        =       tokenizer.tokenize(UpperCamelCase__			)
								lowercase__:       Any        =       rust_tokenizer.tokenize(UpperCamelCase__			)
								self.assertListEqual(UpperCamelCase__    ,			UpperCamelCase__			)

								lowercase__:       Optional[int]        =       tokenizer.encode(UpperCamelCase__    ,			add_special_tokens=UpperCamelCase__			)
								lowercase__:       Optional[Any]        =       rust_tokenizer.encode(UpperCamelCase__    ,			add_special_tokens=UpperCamelCase__			)
								self.assertListEqual(UpperCamelCase__    ,			UpperCamelCase__			)

								lowercase__:       Optional[int]        =       self.get_rust_tokenizer()
								lowercase__:       Tuple        =       tokenizer.encode(UpperCamelCase__			)
								lowercase__:       List[str]        =       rust_tokenizer.encode(UpperCamelCase__			)
								self.assertListEqual(UpperCamelCase__    ,			UpperCamelCase__			)
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Optional[int]:




								'''simple docstring'''
								lowercase__:       Optional[int]        =       BigBirdTokenizer(UpperCamelCase__    ,			keep_accents=UpperCamelCase__			)

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

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

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

								lowercase__:       List[str]        =       tokenizer.convert_ids_to_tokens(UpperCamelCase__			)
								self.assertListEqual(
								    UpperCamelCase__    ,			[
								        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 		SCREAMING_SNAKE_CASE__       (       self			) ->    int:




								'''simple docstring'''
								return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'			)
	@slow
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    str:




								'''simple docstring'''
								lowercase__:       List[str]        =       "Hello World!"
								lowercase__:       Dict        =       [65, 18_536, 2_260, 101, 66]

								self.assertListEqual(UpperCamelCase__    ,			self.big_tokenizer.encode(UpperCamelCase__			)			)
	@slow
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Optional[int]:




								'''simple docstring'''
								lowercase__:       Optional[Any]        =       (
								    "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"
								)
								# fmt: off
								lowercase__:       Dict        =       [65, 871, 419, 358, 946, 991, 2_521, 452, 358, 1_357, 387, 7_751, 3_536, 112, 985, 456, 126, 865, 938, 5_400, 5_734, 458, 1_368, 467, 786, 2_462, 5_246, 1_159, 633, 865, 4_519, 457, 582, 852, 2_557, 427, 916, 508, 405, 34_324, 497, 391, 408, 11_342, 1_244, 385, 100, 938, 985, 456, 574, 362, 12_597, 3_200, 3_129, 1_172, 66]  # noqa: E231
								# fmt: on
								self.assertListEqual(UpperCamelCase__    ,			self.big_tokenizer.encode(UpperCamelCase__			)			)
	@require_torch
	@slow
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Any:




								'''simple docstring'''
								import torch

								from transformers import BigBirdConfig, BigBirdModel

								# Build sequence
								lowercase__:       List[Any]        =       list(self.big_tokenizer.get_vocab().keys()			)[:10]
								lowercase__:       int        =       " ".join(UpperCamelCase__			)
								lowercase__:       Dict        =       self.big_tokenizer.encode_plus(UpperCamelCase__    ,			return_tensors='pt'    ,			return_token_type_ids=UpperCamelCase__			)
								lowercase__:       int        =       self.big_tokenizer.batch_encode_plus(
								    [sequence + ' ' + sequence]    ,			return_tensors='pt'    ,			return_token_type_ids=UpperCamelCase__			)

								lowercase__:       Dict        =       BigBirdConfig(attention_type='original_full'			)
								lowercase__:       Optional[int]        =       BigBirdModel(UpperCamelCase__			)

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

								with torch.no_grad():
															model(**UpperCamelCase__			)
															model(**UpperCamelCase__			)
	@slow
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Any:




								'''simple docstring'''
								lowercase__:       List[str]        =       BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'			)
								lowercase__:       Optional[int]        =       tokenizer.decode(tokenizer('Paris is the [MASK].'			).input_ids			)

								self.assertTrue(decoded_text == '[CLS] Paris is the[MASK].[SEP]'			)
	@slow
	def 		SCREAMING_SNAKE_CASE__       (       self			) ->    List[str]:




								'''simple docstring'''
								lowercase__:       Optional[Any]        =       {"input_ids": [[65, 39_286, 458, 36_335, 2_001, 456, 13_073, 13_266, 455, 113, 7_746, 1_741, 11_157, 391, 13_073, 13_266, 455, 113, 3_967, 35_412, 113, 4_936, 109, 3_870, 2_377, 113, 30_084, 45_720, 458, 134, 17_496, 112, 503, 11_672, 113, 118, 112, 5_665, 13_347, 38_687, 112, 1_496, 31_389, 112, 3_268, 47_264, 134, 962, 112, 16_377, 8_035, 23_130, 430, 12_169, 15_518, 28_592, 458, 146, 41_697, 109, 391, 12_169, 15_518, 16_689, 458, 146, 41_358, 109, 452, 726, 4_034, 111, 763, 35_412, 5_082, 388, 1_903, 111, 9_051, 391, 2_870, 48_918, 1_900, 1_123, 550, 998, 112, 9_586, 15_985, 455, 391, 410, 22_955, 37_636, 114, 66], [65, 448, 17_496, 419, 3_663, 385, 763, 113, 27_533, 2_870, 3_283, 13_043, 1_639, 24_713, 523, 656, 24_013, 18_550, 2_521, 517, 27_014, 21_244, 420, 1_212, 1_465, 391, 927, 4_833, 388, 578, 11_786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2_169, 7_687, 21_932, 18_146, 726, 363, 17_032, 3_391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 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=UpperCamelCase__    ,			model_name='google/bigbird-roberta-base'    ,			revision='215c99f1600e06f83acce68422f2035b2b5c3510'    ,			)






from __future__ import annotations




def        snake_case_					(  snake_case      ,							snake_case					)  ->    list[str]:
       if nth_term == "":
              return [""]
       lowercase__:       Tuple        =       int(snake_case					)
       lowercase__:       int        =       int(snake_case					)
       lowercase__:       list[str]        =       []
       for temp in range(int(snake_case					)					):
              series.append(f'1 / {pow(temp + 1      ,							int(snake_case					)					)}' if series else '1'					)
       return series


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 __lowerCAmelCase			=							int(input('''Enter the last number (nth term) of the P-Series'''))
 __lowerCAmelCase			=							int(input('''Enter the power for  P-Series'''))
 print('''Formula of P-Series => 1+1/2^p+1/3^p ..... 1/n^p''')
 print(p_series(nth_term, power))


