




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


lowercase__				:     Dict 		=						"▁"

lowercase__				:     List[Any] 		=						get_tests_dir("fixtures/test_sentencepiece.model")
@require_sentencepiece
@require_tokenizers
class 		UpperCAmelCase   (				UpperCAmelCase__       ,   unittest.TestCase			):







						'''simple docstring'''





						lowerCAmelCase_     		=   BigBirdTokenizer
						lowerCAmelCase_     		=   BigBirdTokenizerFast
						lowerCAmelCase_     		=   True
						lowerCAmelCase_     		=   True






						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							super().setUp()

							snake_case_		    =     self.tokenizer_class(__lowercase       ,	keep_accents=__lowercase						)
							tokenizer.save_pretrained(self.tmpdirname						)






						def        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     "<s>"
							snake_case_		    =     1

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






						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							snake_case_		    =     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(__lowercase						)       ,	10_04						)






						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							self.assertEqual(self.get_tokenizer().vocab_size       ,	10_00						)






						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							if not self.test_rust_tokenizer:
								return

							snake_case_		    =     self.get_tokenizer()
							snake_case_		    =     self.get_rust_tokenizer()

							snake_case_		    =     "I was born in 92000, and this is falsé."

							snake_case_		    =     tokenizer.tokenize(__lowercase						)
							snake_case_		    =     rust_tokenizer.tokenize(__lowercase						)
							self.assertListEqual(__lowercase       ,	__lowercase						)

							snake_case_		    =     tokenizer.encode(__lowercase       ,	add_special_tokens=__lowercase						)
							snake_case_		    =     rust_tokenizer.encode(__lowercase       ,	add_special_tokens=__lowercase						)
							self.assertListEqual(__lowercase       ,	__lowercase						)

							snake_case_		    =     self.get_rust_tokenizer()
							snake_case_		    =     tokenizer.encode(__lowercase						)
							snake_case_		    =     rust_tokenizer.encode(__lowercase						)
							self.assertListEqual(__lowercase       ,	__lowercase						)






						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							snake_case_		    =     BigBirdTokenizer(__lowercase       ,	keep_accents=__lowercase						)

							snake_case_		    =     tokenizer.tokenize("This is a test"						)
							self.assertListEqual(__lowercase       ,	["▁This", "▁is", "▁a", "▁t", "est"]						)

							self.assertListEqual(
							    tokenizer.convert_tokens_to_ids(__lowercase						)       ,	[2_85, 46, 10, 1_70, 3_82]       ,	)

							snake_case_		    =     tokenizer.tokenize("I was born in 92000, and this is falsé."						)
							self.assertListEqual(
							    __lowercase       ,	[
							        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",
							        ".",
							    ]       ,	)
							snake_case_		    =     tokenizer.convert_tokens_to_ids(__lowercase						)
							self.assertListEqual(
							    __lowercase       ,	[8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]       ,	)

							snake_case_		    =     tokenizer.convert_ids_to_tokens(__lowercase						)
							self.assertListEqual(
							    __lowercase       ,	[
							        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        snake_case__						(						self							:     Optional[int]						):






							"""simple docstring"""






							return BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"						)






						@slow
						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							snake_case_		    =     "Hello World!"
							snake_case_		    =     [65, 1_85_36, 22_60, 1_01, 66]

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






						@slow
						def        snake_case__						(						self							:     str						):






							"""simple docstring"""






							snake_case_		    =     (
							    "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
							snake_case_		    =     [65, 8_71, 4_19, 3_58, 9_46, 9_91, 25_21, 4_52, 3_58, 13_57, 3_87, 77_51, 35_36, 1_12, 9_85, 4_56, 1_26, 8_65, 9_38, 54_00, 57_34, 4_58, 13_68, 4_67, 7_86, 24_62, 52_46, 11_59, 6_33, 8_65, 45_19, 4_57, 5_82, 8_52, 25_57, 4_27, 9_16, 5_08, 4_05, 3_43_24, 4_97, 3_91, 4_08, 1_13_42, 12_44, 3_85, 1_00, 9_38, 9_85, 4_56, 5_74, 3_62, 1_25_97, 32_00, 31_29, 11_72, 66]  # noqa: E231
							# fmt: on
							self.assertListEqual(__lowercase       ,	self.big_tokenizer.encode(__lowercase						)						)






						@require_torch
						@slow
						def        snake_case__						(						self							:     Optional[int]						):






							"""simple docstring"""






							import torch

							from transformers import BigBirdConfig, BigBirdModel

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

							snake_case_		    =     BigBirdConfig(attention_type="original_full"						)
							snake_case_		    =     BigBirdModel(__lowercase						)

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

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






						@slow
						def        snake_case__						(						self							:     int						):






							"""simple docstring"""






							snake_case_		    =     BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"						)
							snake_case_		    =     tokenizer.decode(tokenizer("Paris is the [MASK]."						).input_ids						)

							self.assertTrue(decoded_text == "[CLS] Paris is the[MASK].[SEP]"						)






						@slow
						def        snake_case__						(						self							:     Any						):






							"""simple docstring"""






							snake_case_		    =     {"input_ids": [[65, 3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14, 66], [65, 4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 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, 4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 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=__lowercase       ,	model_name="google/bigbird-roberta-base"       ,	revision="215c99f1600e06f83acce68422f2035b2b5c3510"       ,	)






def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	_enforce_args(_A     ,	_A							)
	if n == 0:
		return 0
	snake_case_		    =     float("-inf"							)
	for i in range(1     ,	n + 1							):
		snake_case_		    =     max(
		    _A     ,	prices[i - 1] + naive_cut_rod_recursive(n - i     ,	_A							)							)

	return max_revue


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	_enforce_args(_A     ,	_A							)
	snake_case_		    =     [float("-inf"							) for _ in range(n + 1							)]
	return _top_down_cut_rod_recursive(_A     ,	_A     ,	_A							)


def 						lowerCamelCase__    (		_A     ,	_A     ,	_A							):







	'''simple docstring'''





	if max_rev[n] >= 0:
		return max_rev[n]
	elif n == 0:
		return 0
	else:
		snake_case_		    =     float("-inf"							)
		for i in range(1     ,	n + 1							):
			snake_case_		    =     max(
			    _A     ,	prices[i - 1] + _top_down_cut_rod_recursive(n - i     ,	_A     ,	_A							)     ,	)

		snake_case_		    =     max_revenue

	return max_rev[n]


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	_enforce_args(_A     ,	_A							)

	# length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
	# length 0.
	snake_case_		    =     [float("-inf"							) for _ in range(n + 1							)]
	snake_case_		    =     0

	for i in range(1     ,	n + 1							):
		snake_case_		    =     max_rev[i]
		for j in range(1     ,	i + 1							):
			snake_case_		    =     max(_A     ,	prices[j - 1] + max_rev[i - j]							)

		snake_case_		    =     max_revenue_i

	return max_rev[n]


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	if n < 0:
		snake_case_		    =     f"n must be greater than or equal to 0. Got n = {n}"
		raise ValueError(_A							)

	if n > len(_A							):
		snake_case_		    =     (
		    "Each integral piece of rod must have a corresponding price. "
		    f"Got n = {n} but length of prices = {len(_A							)}"
		)
		raise ValueError(_A							)


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	snake_case_		    =     [6, 10, 12, 15, 20, 23]
	snake_case_		    =     len(_A							)

	# the best revenue comes from cutting the rod into 6 pieces, each
	# of length 1 resulting in a revenue of 6 * 6 = 36.
	snake_case_		    =     36

	snake_case_		    =     top_down_cut_rod(_A     ,	_A							)
	snake_case_		    =     bottom_up_cut_rod(_A     ,	_A							)
	snake_case_		    =     naive_cut_rod_recursive(_A     ,	_A							)

	assert expected_max_revenue == max_rev_top_down
	assert max_rev_top_down == max_rev_bottom_up
	assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
		main()
