
import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
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


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

@require_sentencepiece
@require_tokenizers
class       a		(   __UpperCAmelCase      ,	unittest.TestCase					):
							lowercase_		:						Optional[Any]   							=  ReformerTokenizer
							lowercase_		:						Dict   							=  ReformerTokenizerFast
							lowercase_		:						List[str]   							=  True
							lowercase_		:						int   							=  False
							lowercase_		:						str   							=  True







							def       UpperCAmelCase__					(						self  :  List[Any] ):
								"""simple docstring"""







								super().setUp()

								__lowerCAmelCase         =							ReformerTokenizer(snake_case__      ,				keep_accents=snake_case__ )
								tokenizer.save_pretrained(self.tmpdirname )







							def       UpperCAmelCase__					(						self  :  Tuple ):
								"""simple docstring"""







								__lowerCAmelCase         =							"<s>"
								__lowerCAmelCase         =							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       UpperCAmelCase__					(						self  :  Union[str, Any] ):
								"""simple docstring"""







								__lowerCAmelCase         =							list(self.get_tokenizer().get_vocab().keys() )

								self.assertEqual(vocab_keys[0]      ,				"<unk>" )
								self.assertEqual(vocab_keys[1]      ,				"<s>" )
								self.assertEqual(vocab_keys[-1]      ,				"j" )
								self.assertEqual(len(snake_case__ )      ,				1_000 )







							def       UpperCAmelCase__					(						self  :  Union[str, Any] ):
								"""simple docstring"""







								self.assertEqual(self.get_tokenizer().vocab_size      ,				1_000 )







							def       UpperCAmelCase__					(						self  :  int ):
								"""simple docstring"""







								if not self.test_rust_tokenizer:
									return

								__lowerCAmelCase         =							self.get_tokenizer()
								__lowerCAmelCase         =							self.get_rust_tokenizer()

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

								__lowerCAmelCase         =							tokenizer.tokenize(snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.tokenize(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							self.get_rust_tokenizer()
								__lowerCAmelCase         =							tokenizer.encode(snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.encode(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )







							def       UpperCAmelCase__					(						self  :  Tuple      ,				snake_case__  :  Tuple=15 ):
								"""simple docstring"""







								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})" ):
										__lowerCAmelCase         =							self.rust_tokenizer_class.from_pretrained(snake_case__      ,				**snake_case__ )

										# Simple input
										__lowerCAmelCase         =							"This is a simple input"
										__lowerCAmelCase         =							["This is a simple input 1", "This is a simple input 2"]
										__lowerCAmelCase         =							("This is a simple input", "This is a pair")
										__lowerCAmelCase         =							[
										    ("This is a simple input 1", "This is a simple input 2"),
										    ("This is a simple pair 1", "This is a simple pair 2"),
										]

										# Simple input tests
										self.assertRaises(snake_case__      ,				tokenizer_r.encode      ,				snake_case__      ,				max_length=snake_case__      ,				padding="max_length" )

										# Simple input
										self.assertRaises(snake_case__      ,				tokenizer_r.encode_plus      ,				snake_case__      ,				max_length=snake_case__      ,				padding="max_length" )

										# Simple input
										self.assertRaises(
										    snake_case__      ,				tokenizer_r.batch_encode_plus      ,				snake_case__      ,				max_length=snake_case__      ,				padding="max_length"      ,				)

										# Pair input
										self.assertRaises(snake_case__      ,				tokenizer_r.encode      ,				snake_case__      ,				max_length=snake_case__      ,				padding="max_length" )

										# Pair input
										self.assertRaises(snake_case__      ,				tokenizer_r.encode_plus      ,				snake_case__      ,				max_length=snake_case__      ,				padding="max_length" )

										# Pair input
										self.assertRaises(
										    snake_case__      ,				tokenizer_r.batch_encode_plus      ,				snake_case__      ,				max_length=snake_case__      ,				padding="max_length"      ,				)







							def       UpperCAmelCase__					(						self  :  List[Any] ):
								"""simple docstring"""







								pass







							def       UpperCAmelCase__					(						self  :  Any ):
								"""simple docstring"""







								__lowerCAmelCase         =							ReformerTokenizer(snake_case__      ,				keep_accents=snake_case__ )

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

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

								__lowerCAmelCase         =							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",
								        ".",
								    ]      ,				)
								__lowerCAmelCase         =							tokenizer.convert_tokens_to_ids(snake_case__ )
								self.assertListEqual(
								    snake_case__      ,				[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]      ,				)

								__lowerCAmelCase         =							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>",
								        ".",
								    ]      ,				)







							@cached_property
							def       UpperCAmelCase__					(						self  :  str ):
								"""simple docstring"""







								return ReformerTokenizer.from_pretrained("google/reformer-crime-and-punishment" )







							@slow
							def       UpperCAmelCase__					(						self  :  int ):
								"""simple docstring"""







								__lowerCAmelCase         =							"Hello World!"
								__lowerCAmelCase         =							[126, 32, 262, 152, 38, 72, 287]

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







							@slow
							def       UpperCAmelCase__					(						self  :  List[str] ):
								"""simple docstring"""







								__lowerCAmelCase         =							(
								    "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"
								)
								__lowerCAmelCase         =							[
								    108,
								    265,
								    24,
								    111,
								    4,
								    258,
								    156,
								    35,
								    28,
								    275,
								    3,
								    259,
								    297,
								    260,
								    84,
								    4,
								    35,
								    110,
								    44,
								    8,
								    259,
								    91,
								    268,
								    21,
								    11,
								    209,
								    274,
								    109,
								    266,
								    277,
								    117,
								    86,
								    93,
								    315,
								    258,
								    278,
								    258,
								    277,
								    258,
								    0,
								    258,
								    288,
								    258,
								    319,
								    258,
								    0,
								    258,
								    0,
								    258,
								    0,
								    258,
								    0,
								    258,
								    287,
								    258,
								    315,
								    258,
								    289,
								    258,
								    278,
								    99,
								    269,
								    266,
								    262,
								    8,
								    259,
								    241,
								    4,
								    217,
								    230,
								    268,
								    266,
								    55,
								    168,
								    106,
								    75,
								    193,
								    266,
								    223,
								    27,
								    49,
								    26,
								    282,
								    25,
								    264,
								    299,
								    19,
								    26,
								    0,
								    258,
								    277,
								    117,
								    86,
								    93,
								    176,
								    183,
								    270,
								    11,
								    262,
								    42,
								    61,
								    265,
								]

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







							@require_torch
							@slow
							def       UpperCAmelCase__					(						self  :  List[str] ):
								"""simple docstring"""







								import torch

								from transformers import ReformerConfig, ReformerModel

								# Build sequence
								__lowerCAmelCase         =							list(self.big_tokenizer.get_vocab().keys() )[:10]
								__lowerCAmelCase         =							" ".join(snake_case__ )
								__lowerCAmelCase         =							self.big_tokenizer.encode_plus(snake_case__      ,				return_tensors="pt" )
								__lowerCAmelCase         =							self.big_tokenizer.batch_encode_plus([sequence, sequence]      ,				return_tensors="pt" )

								__lowerCAmelCase         =							ReformerConfig()
								# The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
								__lowerCAmelCase         =							encoded_sequence["input_ids"].shape
								__lowerCAmelCase         =							ReformerModel(snake_case__ )

								# Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
								assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

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







							@slow
							def       UpperCAmelCase__					(						self  :  Tuple ):
								"""simple docstring"""







								__lowerCAmelCase         =							{"input_ids": [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], "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]]}  # noqa: E501
								# fmt: on

								# This tokenizer does not know some characters like ")".
								# That is the reason why we use very simple texts here.
								# Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
								__lowerCAmelCase         =							[
								    "This is a very simple sentence.",
								    "The quick brown fox jumps over the lazy dog.",
								]

								self.tokenizer_integration_test_util(
								    expected_encoding=snake_case__      ,				model_name="google/reformer-crime-and-punishment"      ,				revision="0e6c3decb8211d49bf881013425dc8b0448b3f5a"      ,				padding=snake_case__      ,				sequences=snake_case__      ,				)








from __future__ import annotations

from math import ceil, floor, sqrt






def 		_UpperCAmelCase   (	UpperCamelCase:     int = 2_0_0_0_0_0_0  ):






	"""simple docstring"""


	__lowerCAmelCase         =							[0]
	__lowerCAmelCase         =							42

	for idx in range(1			,							ceil(sqrt(target * 2  ) * 1.1  )  ):
		triangle_numbers.append(triangle_numbers[-1] + idx  )

	# we want this to be as close as possible to target
	__lowerCAmelCase         =							0
	# the area corresponding to the grid that gives the product closest to target
	__lowerCAmelCase         =							0
	# an estimate of b, using the quadratic formula
	__lowerCAmelCase         =							42
	# the largest integer less than b_estimate
	__lowerCAmelCase         =							42
	# the largest integer less than b_estimate
	__lowerCAmelCase         =							42
	# the triangle number corresponding to b_floor
	__lowerCAmelCase         =							42
	# the triangle number corresponding to b_ceil
	__lowerCAmelCase         =							42

	for idx_a, triangle_a in enumerate(triangle_numbers[1:]			,							1  ):
		__lowerCAmelCase         =							(-1 + sqrt(1 + 8 * target / triangle_a  )) / 2
		__lowerCAmelCase         =							floor(UpperCamelCase  )
		__lowerCAmelCase         =							ceil(UpperCamelCase  )
		__lowerCAmelCase         =							triangle_numbers[b_floor]
		__lowerCAmelCase         =							triangle_numbers[b_ceil]

		if abs(target - triangle_b_first_guess * triangle_a  ) < abs(
		    target - best_product  ):
			__lowerCAmelCase         =							triangle_b_first_guess * triangle_a
			__lowerCAmelCase         =							idx_a * b_floor

		if abs(target - triangle_b_second_guess * triangle_a  ) < abs(
		    target - best_product  ):
			__lowerCAmelCase         =							triangle_b_second_guess * triangle_a
			__lowerCAmelCase         =							idx_a * b_ceil

	return area


if __name__ == "__main__":
					print(f'''{solution() = }''')






