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Delegated Byzantine Fault Tolerance (dBFT)

Definition - What does Delegated Byzantine Fault Tolerance (dBFT) mean? Delegated Byzantine Fault Tolerance (dBFT) is a sophisticated algorithm meant to facilitate consensus stake, proof of importance and proof of work methods.Techopedia explains Delegated Byzantine Fault Tolerance They cannot be counted on, so this is the complex issue that Delegated Byzantine Fault Tolerance addresses In order to handle this uncertainty, Delegated Byzantine Fault Tolerance uses a two-thirds rule and other

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pytest 测试框架学习(3):pytest.approx

You have to specify an absolute tolerance if you want to compare to ``0.0`` because there is no tolerance ``b`` and the absolute tolerance. Because the relative tolerance is only calculated w.r.t. No relative tolerance is considered and the absolute tolerance cannot be changed, so this function is ``b`` or if the absolute tolerance is met. Because the relative tolerance is only calculated w.r.t. In the special case that you explicitly specify an absolute tolerance but not a relative tolerance, only

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    np.allclose

    rtol=1e-05, atol=1e-08, equal_nan=False) Returns True if two arrays are element-wise equal within a tolerance The tolerance values are positive, typically very small numbers. Parameters ---------- a, b : array_like Input arrays to compare. rtol : float The relative tolerance parameter (see Notes). atol : float The absolute tolerance parameter (see Notes). equal_nan : bool Whether :: 1.10.0 Returns ------- allclose : bool Returns True if the two arrays are equal within the given tolerance

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    浅谈CAP与Kafka

    Partition tolerance(网络分区容忍性),和我们经常听到的Fault tolerance(容错)、Latency tolerance(网络延迟容忍)类似,都是应用程序为了保持健壮性而对一些特定情况做的额外处理逻辑 而CA系统指的是,系统保证强一致性和整体可用性,但是不保证Partition tolerance。 这里“不保证Partition tolerance”,应该理解成“没有网络分区”还是“有网络分区,没有容忍机制”呢? ,我们可能还经常听到Fault tolerance(容错)和Latency tolerance(网络延迟容忍),它们其实都是指程序在应对某些情况时的容忍能力,从highlevel来讲,这是一个系统resilience 比如Latency tolerance,当网络延迟比较大的时候,应用程序可以实现一些fallback逻辑,以此来提高用户的响应时间。

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    numpy.isclose

    equal_nan=False)Returns a boolean array where two arrays are element-wise equal within a tolerance.The tolerance smaller than one (see Notes).Parameters:a, b:array_likeInput arrays to compare.rtol:floatThe relative tolerance parameter (see Notes).atol:floatThe absolute tolerance parameter (see Notes).equal_nan:boolWhether to output array.Returnsy:array_likeReturns a boolean array of where a and b are equal within the given tolerance

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    numpy.allclose

    atol=1e-08, equal_nan=False)Returns True if two arrays are element-wise equal within a tolerance.The tolerance sign in both arrays.Parameters: a, b : array_like Input arrays to compare. rtol : float The relative tolerance parameter (see Notes). atol : float The absolute tolerance parameter (see Notes). equal_nan : bool Whether Returns: allclose : bool Returns True if the two arrays are equal within the given tolerance; False otherwise

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    R语言和QuantLib中Nelson-Siegel模型收益曲线建模分析

    127.925, 105.6, 105.085, 99.29, 100.6, 104.945, 114.7415 }; double cleanPrices4; Nelson-Siegel模型拟合 Real tolerance FittedBondDiscountCurve(curveSettlementDays, calendar, instrumentsA, ActualActual(), NelsonSiegelFitting(), tolerance FittedBondDiscountCurve(curveSettlementDays, calendar, instrumentsB, ActualActual(), NelsonSiegelFitting(), tolerance FittedBondDiscountCurve(curveSettlementDays, calendar, instrumentsC, ActualActual(), NelsonSiegelFitting(), tolerance FittedBondDiscountCurve(curveSettlementDays, calendar, instrumentsD, ActualActual(), NelsonSiegelFitting(), tolerance

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    调整PageRank参数和比较结果

    Adjusting PageRank parameters and Comparing results原文:The effect of adjusting damping factor {alpha} and tolerance On the other hand, decreasing the tolerance {tau} exponentially decreases the iterations needed almost For large graphs, above certain tolerance {tau} values, convergence can occur in a single iteration. On the contrary, below certain tolerance {tau} values, sensitivity issues can begin to appear, causing

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    R语言和QuantLib中Nelson-Siegel模型收益曲线建模分析

    helperC);            instrumentsD.push_back(helperD);        }        Nelson-Siegel Fittings        Real tolerance                 instrumentsA,                ActualActual(),                NelsonSiegelFitting(),                tolerance                 instrumentsB,                ActualActual(),                NelsonSiegelFitting(),                tolerance                 instrumentsC,                ActualActual(),                NelsonSiegelFitting(),                tolerance                 instrumentsD,                ActualActual(),                NelsonSiegelFitting(),                tolerance

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    Android AAPT1编译流程

    argv; Bundle bundle; bool wantUsage = false; int result = 1; pessimistically assume an error. int tolerance argc) { fprintf(stderr, ERROR: No argument supplied for -g optionn); wantUsage = true; goto bail; } tolerance = atoi(argv); bundle.setGrayscaleTolerance(tolerance); printf(%s: Images with deviation

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    windows程序设计-第四章 system1.c

    TEXT (Minimum window tracking height), SM_CXDOUBLECLK, TEXT (SM_CXDOUBLECLK), TEXT (Double click x tolerance ), SM_CYDOUBLECLK, TEXT (SM_CYDOUBLECLK), TEXT (Double click y tolerance), SM_CXICONSPACING, TEXT (SM_CXICONSPACING TEXT (SM_CLEANBOOT), TEXT (How system was booted), SM_CXDRAG, TEXT (SM_CXDRAG), TEXT (Avoid drag x tolerance ), SM_CYDRAG, TEXT (SM_CYDRAG), TEXT (Avoid drag y tolerance), SM_SHOWSOUNDS, TEXT (SM_SHOWSOUNDS), TEXT

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    CAP理论

    suveng.github.ioblog​​​​​​​CAP理论定义CAP原则 ,指的是一个分布式系统中,一致性 Consistency,可用性 Availability,分区容错性 Partition tolerance Partition tolerance 分区容错性先看 Partition tolerance ,中文叫做 分区容错 。 大多数分布式系统都分布在多个子网络。

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    医疗影像处理:去除医疗影像中背景的影响2D3D【numpy-code】| CSDN博文精选

    def have_back(image): background_value=0 tolerance=0.00001 is_foreground = np.logical_or(image.get_data () < (background_value - tolerance), image.get_data()> (background_value + tolerance)) foreground = np.zeros

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    服务器网卡多网卡绑定及vlan支持

    The can be one of:balance-rr or 0 — Sets a round-robin policy for fault tolerance and load balancing beginning with the first one available.active-backup or 1 — Sets an active-backup policy for fault tolerance active bonded slave interface fails.balance-xor or 2 — Sets an XOR (exclusive-or) policy for fault tolerance beginning with the first available interface.broadcast or 3 — Sets a broadcast policy for fault tolerance is 802.3ad compliant.balance-tlb or 5 — Sets a Transmit Load Balancing (TLB) policy for fault tolerance

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    gcForest 集成学习方法的 Python 实现

    X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.33) gcf = gcForest(shape_1X=4, window = 2, tolerance 默认是 None,但是用到 Multi-Grain Scanning 时,需要用到,我理解的是特征的数量(对于序列数据) # window:滑动窗口的大小 # stride:滑动步长,默认是 1 # tolerance :提升的精度小于 tolerance 时,就停止整个过程。 n_cascadeRF=2, # n_cascadeRFtree=101, cascade_layer=np.inf,min_samples_mgs=0.1, # min_samples_cascade=0.05, tolerance n_cascadeRF=2, n_cascadeRFtree=50, cascade_layer=np.inf, min_samples_mgs=0.05, min_samples_cascade=0.1, tolerance

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    python数字图像处理(17):边缘与轮廓

    函数格式为: skimage.measure.approximate_polygon(coords, tolerance) coords: 坐标点序列 tolerance: 容忍值 返回近似的多边形曲线坐标序列 approximate subdivided polygon with Douglas-Peucker algorithmappr_hand =measure.approximate_polygon(new_hand, tolerance

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    ntp 服务开机启动失败

    服务异常退出 sudo systemctl status ntp 查看日志发现,ntp 进程报错 tail -f varlogntp.log frequency error -1732 PPM exceeds tolerance 500 PPMfrequency error -1732 PPM exceeds tolerance 500 PPMfrequency error -1732 PPM exceeds tolerance

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    GJK算法计算凸多边形之间的距离

    shape1, shape2, d); c 在 d 方向上的投影 double dc = c.dot(d); a 在 d 方向上的投影 double da = Simplex.a.dot(d); 这个 tolerance 其实对于多边形而言, 取 0 就好了, tolerance 是对于 曲边形才需要设置 if (|dc - da| < tolerance) { distance = d.magnitude(); return 所以如果选择的 tolerance 太小了的话,则可能一直达不到 tolerance而无限循环,所以我们应该加一个最大循环次数.在两个物体本来就交叉的情况下,这个算法可能终止条件会失效,从而带来一些问题

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    架构设计之「 CAP 定理 」

    「 CAP定理 」又被称为 布鲁尔定理,它提出对于一个分布式系统而言,不能同时满足以下三点:Consisteny(一致性)Availability(可用性)Partition tolerance(分区容错性 在聊这三个组合之前,我们先分别看一下 Consisteny(一致性)、Availability(可用性)、Partition tolerance(分区容错性)的含义。 Partition tolerance(分区容错性)分区容错性是指,当节点之间的网络出现问题之后,系统依然能正常提供服务。讲完了C、A、P的含义和要求,我们继续来看看它们之间如何组合使用。 下面我们来详细看一下 CP架构 和 AP架构的特点:CP 架构CP架构即 Consisteny(一致性)与 Partition tolerance(分区容错性)的组合。 AP 架构AP架构即 Availability(可用性)与 Partition tolerance(分区容错性)的组合架构。 如上图,由于网络问题,节点A和节点B之前不能互相通讯。

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    架构设计之「 CAP 定理 」

    「 CAP定理 」又被称为 布鲁尔定理,它提出对于一个分布式系统而言,不能同时满足以下三点:Consisteny(一致性)Availability(可用性)Partition tolerance(分区容错性 在聊这三个组合之前,我们先分别看一下 Consisteny(一致性)、Availability(可用性)、Partition tolerance(分区容错性)的含义。 Partition tolerance(分区容错性)分区容错性是指,当节点之间的网络出现问题之后,系统依然能正常提供服务。讲完了C、A、P的含义和要求,我们继续来看看它们之间如何组合使用。 下面我们来详细看一下 CP架构 和 AP架构的特点:CP 架构CP架构即 Consisteny(一致性)与 Partition tolerance(分区容错性)的组合。 ? AP 架构AP架构即 Availability(可用性)与 Partition tolerance(分区容错性)的组合架构。 ? 如上图,由于网络问题,节点A和节点B之前不能互相通讯。

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