Economics is the science that deals with the allocation of limited resources to satisfy unlimited human wants
That is why economics is often described as the science of constrained choice.
这个东西一般是正的，这个也好理解：当工资上升，人们也更乐意买更多的东西。但这个也不绝对，例如有研究表明，在亚洲的某些国家，对于米饭需求工资弹性是负的
Cross-Price Elasticity of Demand：The cross-price elasticity of demand for good i with respect to the price of good j is the ratio of the percentage change of the quantity of good i demanded to the per- centage change of the price of good j。这个探讨的实际上是两种商品之间的关系-> 当商品j的价格上升的时候，对于商品i的需求的变化
但是，《经济学人》也不得不考虑道德力量。确实有人试图就“经济人”的行为建立一种抽象的科学，经济人不受道德的影响，谨慎而积极地追求金钱利益，但机械地和自私地。但是它们没有成功，甚至没有完全执行;因为他们从来没有真正把经济人看作完全自私的人。最可靠的人莫过于有经济头脑的人，他为了养家糊口而无私地吃苦耐劳、牺牲牺牲;他的正常动机一直被默认为包括家庭感情在内。但是，如果把这些动机也包括在内，为什么不把所有其他的利他动机也包括在内呢?到目前为止，任何阶级、任何时间、任何地点的所有其他利他动机的行为都是一致的，因此可以归结为普遍规律。”
Market basket(bundle): A collecition of goods and services that an individual might consume.注意这个colletion里面清楚表明了商品/服务的数量的，是个非常具体，一点都不抽象的类目
因为这个不需要化简单位，所以在图像上，marginal utility就是在utility function函数上某一点的切线斜率
然后根据这个导数又得出了一个经济学的理论：The additional satisfaction that ppl receives from consuming more of a good depends on how much of the good she already consumed
在经济学中所有的边际关系都是像这样用导数来衡量的
Principle of diminishing marginal utility：After some point, as consumption of a good increases, the marginal utility of that good will begin to fall. 这个也很符合人类的行为，因为当我们越多的消费一个东西的时候，每多消费这样的东西带来的效益就没有之前那么高了
单个产品的utility function作用并没有很大，我们在生活中往往需要衡量多个商品对自己的utility，假设for any basket(x, y)，utility function是\( U = \sqrt{(xy)} \)，那么他的utility function的图如下
注意，这个理论基础比较虚，要根据实际的效用函数来看他的mu的性质
negative of the slope of the indifference curve on a graph with x on the horizontal axis and y on the vertical axis
Diminishing Marginal rate of substitution: A feature of consumer pref- erences for which the marginal rate of substitution of one good for another good diminishes as the consumption of the first good increases along an indifference curve.一开始的时候，因为消费者消费x的数量不多，所以消费者很乐意去拿许多的y去换一个x，但是他占有x的数量越来越多，占有y的数量越来越少，消费者会不那么乐意用那么多的y去换一个x了。根据indifference也可以看出这个性质
Draw indifference graph: 给定一个utility function，给定一个utility值，要如何画indifference graph->只需要找出适当的x，y组合令utility值等于要求的utility值，这样就可以找出一个点，然后继续找下一个点，多找几个点就可以把线给描出来了
Perfect Complements：(in consumption) Two goods that the consumer always wants to consume in fixed proportion to each other. 比如一双袜子：左边袜子和右边袜子
Quasilinear utility function：A utility function that is linear in at least one of the goods consumed, but may be a nonlinear function of the other good(s).
假设I是income，那么：The budget line indicates all of the combinations of food (x) and clothing ( y) that Eric can purchase if he spends all of his available income on the two goods. It can be expressed as
如果收入变多了，那么budget line向上平行移动
如果一个商品的价格改变了的话，这个budget line会“旋转”，像下面这样：
<img src+”assets/post_pics/Snipaste_2020-05-25_20-05-36.png”>
Diminishing MRS的图上表示是：because the indifference curves are bowed in toward the origin (in economic terms, because there is diminishing marginal rate of substitution of x for y)
The consumer can increase utility if he continues to spend $800 monthly, or he can spend less money to stay at the same level of utility he is currently realizing at B.
Corner Points: A solution to the consumer’s optimal choice problem at which some good is not being consumed at all, in which case the optimal basket lies on an axis.
上图就阐明了一种这样子的关系，当没有一条indifferent curve和bl相切。并且这三条indifferent curve的都比BL要更加的斜，经过证明，这代表了：\( \frac{MU_x}{P_x} \lt \frac{MU_y}{P_y} \)，也就是说明tells us the marginal utility per dollar spent is higher for food than for clothing, so the consumer would like to purchase more food and less clothing. 所以消费者必定会选择R（把food选到最大）
如果要找有拐点的optimal value：先通过计算斜率等大致说出indifference curve和bl的一些性质（凸起还是凹下啊），陈述拐点的可能存在，然后根据MUx/MUy = Px/Py试图找切点，找到悖论证明切点不存在，说明最优解在拐点，直接算拐点的时候的utility值
Kink：这个知识记在了Module笔记上
The partial derivative dU(x, y)/dx is the mathematical expression for the marginal utility of x (MUx). It measures how much utility increases as x increases, holding y constant. Similarly, the partial derivative dU(x, y) /y is the mathematical expression for the marginal utility of y (MUy). It measures how much utility increases as y increases, holding x constant. 这里解释了上面那张图片的几个项是什么意思
然后。。。你妈的推回来了以下的等式证明了在cobb效用函数中确实应该使用切线定理：
这一章的主旨是：Studying the impact of chages in prices and income levels on an individual’s consumption decision, we can: gain insight into why some goods, such as cigarettes, have demands that are relatively insensitive to changes in prices and income, while other goods, such as automobiles, might have demands that are relatively more sensitive to changes in prices, or income, or both.
当商品既不normal也不inferior：income effect影响为0
当商品是inferior的时候：income effect有负影响
A Giffen good has a demand curve with a positive slope over part of the curve.
For an inferior good to have an income effect large enough to offset the substitution effect, the income elasticity of demand would have to be negative and the expenditures on the good would need to represent a large part of the consumer’s budget.
对于如何计算income effect和substitution effect具体的数值书上170-171有详细的解释，也是根据上面那个step来的
下面就是讨论了当价格上升的时候（normal good）会如何变化，其实都是大同小异的
上图展现了一个带有bandwagon effect的正network externality的图，你看，当价格从20->10的时候，一般普通的商品的需求都是沿着需求曲线走的，但是这个不一样，因为价格便宜了，用的人多了，甚至会把需求曲线推向更远的地方，导致了搬瓦工效应
Bandwagon effect: A positive network externality that refers to the increase in each consumer’s demand for a good as more consumers buy the good.
Snob effetc: A negative network externality that refers to the decrease in each consumer’s demand as more consumers buy the good.
以上这张图就把coupon和subsidy之间的关系阐述的很明了
subsidy：可以看作是政府为了刺激消费者购买更多的housing而直接给消费者发工资上的补贴，就是直接给钱，这个钱可以用来买任何商品。那么他的budget line就会向右移动，从而会导致一个新的optimal choice相切于U2，但是也可以看出在这个新的optimal choice下面，房子的数量正好是政府希望人们去拥有的
Coupan：Coupan指的是只能花费在某种商品下的政府的补贴，在这种情况下，人们能获得普通商品的量不会改变，却可以买更多的房子。在这张图上面，如果获得了房子的coupon，那么KFG就是消费者的BL，F是消费者把工资全用在普通商品，且只用coupon/voucher去买房子的情况；然后他马上急转直下来到了与x轴的交点，他也正好与U2相切与optimal点，切数量也是政府希望的数量
如果是上面的图的话，两种政策带来的后果是一样的，但是有的图，当政府介绍不同的政策的时候会带来不一样的结果，一般分为consumer会不会worse off或者政府的目的到底是想提高某种商品的消费，还是想提高人们的效用值
这里接的是最下面appendix的内容
在这种情况下，消费者的效用函数是：
注意在这张图里面，横轴和竖轴代表的是今年和明年而不是两种商品
U(C)指的是消费者在某一年买了C dollar的composite good的时候所获得的效用值，其实就是给下一年的效用值加了个discount rate。这个discount rate就很特殊，它被称为consumer’s rate of time perference: is a measure of the consumer’s impatience. (这个值越大，说明消费者就越不“耐心”，说明消费者在未来得到的效用就越小)
MArginal rate of substitution is \( MRS_{c1, c2} = (1+p)\frac{U’(C1)}{U’(c2)} \)
Money has time value: 生动的例子就是给你100块钱和明天再给你100块钱之间选择，你大概率会选择前者。同时这个也是为什么利率会存在的原因
The techniques that can be used to compare amounts of money received at different points in time
Future value of an amount of money $C: The amount you would have at a given date in the future if you put $C into an account that earned a given rate of interest
这个公式当然也可以拿来反推present value：The amount you need to invest today at a given rate of interest so that you would have $C at a given date in the future. 注意现在这里C变成了未来的钱
当计算present rate的时候，往往会把interest rate称为discount rate
通过这个可以计算present value of a stream of payments
Annuity: An annuity is a stream of constant, equally spaced, payments over a certain period of time. 就是说上面那个C不管经过多少年都是不变的
Perpetuity:指的是一种永远也不会停止的annuity，也就是说T趋于无穷，那么括号里面的term就会趋于1，那么最后的presnet value就是简单的\( \frac{C}{r} \)
An important use of present value is to compare benefits to costs.
Net present value(NPV) is the difference between the present value of the stream of benefits and the upfront cost that musht be incurred.
假设一天被分成了：work和leisure，work赚到花在leisure上的income
An increase in the wage rate reduces the amount of work required to buy a unit of the composite good, and this leads to both a substitution effect and an income ef- fect.
可以这么理解：leisure和labor完全是对立的关系，而labor和composite good却不是对立的关系，所以可以看出leisure和composite good是对立的关系。那么为什么替代效应和收入效用会带来影响呢？在这个场景里面，出了wage rate其他的东西都不会变化，那么当wage上升，就会有一些东西在变化
Variance: The sum of the probability-weighted squared deviations of the possible outcomes of the lottery. 这个值越高，风险越大
Standard Deviation: The square root of the variance.
How we can use the concept of a utility function to evaluate the benefits that decision maker would enjoy from alternatives with differing amounts of risk.
Expected Utility: The expected value of the utility levels that the decision maker receives from the payoffs in a lottery.(用不同的事件的概率和这些事件发生之后会带来的效用值分别相乘，再把这些值加起来)
Risk averse: A characteristic of a decision maker who prefers a sure thing to a lottery of equal expected value.(对于拥有同样的expected value值的lottery和确定的事物，这类人更倾向于确定的事物)
With diminishing marginal utility, the decision maker is thus hurt more by the downside of a lottery than he or she is helped by the upside.
定律: If lotteries L and M have the same expected value, but lottery L has a lower variance than lottery M, a risk-averse decision maker will prefer L to M
Thus, when the expected value equals the payoff of the sure thing (i.e., when EV=I ), the expected utility equals the utility of the sure thing (i.e., EU=U ).
Risk Premium: The necessary difference between the expected value of a lottery and the payoff of a sure thing to make the decision maker indifferent between the lottery and the sure thing.(后面这个payoff of a sure thing其实就代表了cv（certainty equivalent）)
An important determinant of the risk premium is the variance of the lottery. If two lotteries have the same expected value but different variances, the lottery with the bigger variance will entail a higher risk premium. This implies that the reward a risk- averse individual requires for bearing risk becomes larger as the risk increases.
Fairly priced insurance policy: An insurance policy in which the insurance premium is equal to the expected value of the promised insurance payment.
**Insurance Premium: **很简单的例子是如果你愿意每年花费500刀去买保险，这个保险可以为你付最高10，000刀的赔付，你买保险用的500刀既是你的insurance premium，如果这个保险包的是车辆的维修，然后他是个faired priced insurance（上面那个），那么说明车辆维修的ev是500刀
Asymmetric Information: A situation in which one party knows more about its own actions or characteristics than another party.
上面的概念同样适用于求职市场：求职者水平参差不齐，雇主必须避免以上类似的情况发生而去制定相应的应对政策
Pay for performance：Most firms offer employees rewards for better performance
inputs: Resources, such as labor, capital equipment, and raw materials, that are combined to produce finished goods.
Production function: A mathematical represen- tation that shows the maximum quantity of output a firm can produce given the quantities of inputs that it might employ. \( Q=f(L, K) \),L是labor数量，k是capital数量
Total Production Function: A production function. A total product function with a single input shows how total output depends on the level of the input.
Dimishing marginal returns to labor: The region along the total prod- uct function in which output rises with additional labor but at a decreasing rate.
Marginal Product of labor: The rate at which total output changes as the quantity of labor the firm uses is changed. \( \frac{\Delta Q}{\Delta L} \)
Law of diminishing marginal returns: Principle that as the usage of one input increases, the quantities of other inputs being held fixed, a point will be reached beyond which the marginal product of the variable input will decrease.
把z轴固定起来 那么这一圈线上的所有组合代表了所有能够有这个特定输出的输入
这就和indiffernt curve的数学意义是一样的了
Uneconomic Region:(从Isoquants的图上可以看出来的)The region of upward-sloping or backward-bending isoquants. In the uneconomic region, at least one input has a negative marginal product.
The negative of the slope of the tangent line is the MRTSL,K at that point.
Diminishing Marginal Rate of Technical Substitution: A feature of a production function in which the marginal rate of technical substitution of labor for capital diminishes as the quantity of labor increases along an isoquant.
如果是有这个性质的话：说明是convex的！！！！！
\( \frac{MP_{L}}{MP_{K}} = MRTS_{L,K} \)
In this section, we explore how to describe the ease or difficulty with which a firm can substitute between different inputs.
注意一下这里左右搞反了。。。
也就是说，右边的production function，为公司带来的是比较局限的选择；但是在左边的production function，却可以带来比较abundant的收益
\( Q = aL + bK \)
Isoquantes are straight lines
Elascity of substitution for a linear production function must be infinite
如果有这种样子的linear production function的话，那么input就是linear的
也就是说input之间必须以一种固定的比例相结合，这样的input也被称为perfect complement
\( Q = min(aL, bK) \)
他们的isoquants就是那种带有强烈拐角的图
Elascity of substitution for a fixed properties production function must be zero
\( Q=AL^{\alpha}K^{\beta} \)
就是比较“正常”的生产函数，弹性处于0-正无穷之间
In fact, it turns out that the elasticity of substitution along a Cobb–Douglas production function is always equal to 1. (This result is derived in the Appendix to this chapter.)
父类：A type of production function that includes linear production functions, fixed- proportions production functions, and Cobb–Douglas production functions as special cases.
\( Q = [aL^{\frac{\sigma - 1}{sigma}} + bK^{\frac{\sigma}{\sigma - 1}}]^{\frac{\sigma}{sigma - 1}} \)
how increases in all input quantities affect the quantity of output the firm can produce.
returns to scale: the percentage increase in output when a firm increases all of its input quantities by a given percentage amount
Decreasing returns to scale: A proportionate increase in all input quanti- ties resulting in a less than proportionate increase in output.
计算的时候，就是同时给所有的input一样的增长lambda，然后算出增长后的output的数量，并且求出output的变化theta，用theta和lambda做对比
为什么规模回报很重要?当生产过程呈现出规模效益递增的趋势时，大规模经营就会带来成本优势。特别是，一家大公司能够以较低的单位成本生产一定数量的产品，而两家规模相同的小公司所能生产的产品只有前者的一半。例如，如果两家半导体公司能以每片0.1美元的价格各自生产100万个芯片，那么一家大型半导体公司就能以每片不到0.1美元的价格生产200万个芯片。这是因为，随着规模收益的增加，大公司需要雇佣少于小公司两倍的劳动力和资本来生产两倍的产出。当一个大公司比小公司拥有这样的成本优势时，一个大公司比几个小公司更能有效地服务市场。这种大规模经营的成本优势一直是允许企业作为受监管的垄断者在电力和石油管道运输等市场上经营的传统理由。
注意，一个公司的生产函数并不是亘久不变的，他们是会改变的
Technological Progress: A change in a production process that enables a firm to achieve more output from a given combination of inputs or, equivalently, the same amount of output from less inputs.
Neutral Technological Progress: Technological progress that decreases the amounts of labor and capi- tal needed to produce a given output, without af- fecting the marginal rate of technical substitution of labor for capital.
Labor Saving technological Progress: Technological progress that causes the marginal product of capital to increase relative to the marginal product of labor.
Capital Saving technological progress: Technological progress that causes the marginal product of labor to increase relative to the marginal product of capital.
Explicit Cost: Costs that involve a direct monetary outlay.
Implicit Cost: Costs that do not involve outlays of cash.
Opportunity Cost: The value of the next best alternative that is forgone when another alternative is chosen. Include all of the explicit and implicit costs associated with that alternative.
Different opportunity cost for different decision making.
Note that the unifying feature of this example is that the relevant opportunity cost was, in both cases, the current market price of the sheet steel.
Economic Costs: The sum of the firm’s explicit costs and implicit costs.
Accounting Costs: The total of explicit costs that have been incurred in the past.
Long-run total cost: A curve that shows how total cost varies with output, holding input prices fixed and choosing all inputs to minimize cost. 当产量上升的时候，每次都选择最小化的total cost的bundle，曲线表明了产量上升与total cost的关系
Long-run total cost curve must be increasing in Q and must equal 0 when Q = 0
所以先利用切线条件孤立labor和capital，带入价格得到total cost的等式
a given percentage increase in both input prices leaves the cost-minimizing input combination unchanged, while the total cost curve shifts up by exactly the same percentage.
为什么cost-minimizing input combination是不变的呢？因为同时增加一样的比例导致cost line的斜率保持不变，所以切点也不会变！
Long-run average cost: The firm’s total cost per unit of output. It equals long-run total cost divided by total quantity. \( AC(Q) = \frac{TC(Q)}{Q} \)
Long-run marginal cost: The rate at which long-run total cost changes with respect to change in output.就是slope of TC(Q)
Economies of scale: A characteristic of production in which average cost decreases as output goes up.
Diseconomies of scale: A characteristic of production in which average cost increase as output goes up.
Indivisible Input: an input that is available only in a certain minimum size; its quantity cannot be scaled down as the firm’s output goes to zero. 也就是说，不管你生产多少，一定数量的这个要素都得存在，会带来economies of scale
Managerial diseconomies: A situation in which a given percentage increase in output forces the firm to increase its spending on the services of managers by more than this percentage. output上升的同时，需要更多的人来管理，管理费用上升的比例高过output上升的比例
Minimum Efficient Scale: The smallest quantity at which the long-run average cost curve attains its minimum point. The larger MES is, in comparison to overall market sales, the greater the magnitude of economies of scale
returns to scale: the percentage increase in output when a firm increases all of its input quantities by a given percentage amount
If average cost decreases as output increases, we have economies of scale and increasing returns to scale
If average cost decreases as output increases, we have diseconomies of scale and decreasing returns to scale
If average cost remain unchanged as output increases, we have neighter economies nor diseconomies scale and constant returns to scale.
下面这张表格说实话看着很管用


{% extends "global/Page.html" %} {% load otree %} {% block title %} Part 1 {% endblock %} {% block content %} {% if player.treatment == "E" or player.treatment == "F" %}
Describe four times in your life when you felt that you didn’t have enough of something or when resources were scarce.
{% elif player.treatment == "G" or player.treatment == "H" %}Describe four things that you did during the last week.
{% endif %} {% formfield player.t2_stage1 label="Please write your answer in the following field:" %} {% next_button %} {{ form.errors }} {% endblock %}


(C) Dylan Araps 2019-2020 View page source


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{{exercise.repetitions}}
{{exercise.weight | number:'1.1'}} kg
{{exercise.recoveryTimesBetweenEachSeries | number:'1.2-2'}} min
{{exercise.times.length}} x {{exercise.times[0] | number:'1.2-2'}} min
{{exercise.km | number}} km
{{exercise.calories | number}} kcal
{{exercise.speed | number}} km/h
{{exercise.times | number:'1.2-2'}} min
{{exercise.km | number}} km
{{exercise.calories | number}} kcal
{{exercise.speed | number}} km/h
{{difficultyConverter.convertThisEnum(exercise.difficulty)}}
{{exercise.approximateTime | number:'1.2-2'}} min


--- layout: post title: Maximizing disk space of your Raspberry PI date: 2016-02-20 09:30:00.000000000 +08:00 permalink: maximising-disk-space-of-your-raspberry-pi/ header-img: "img/21182965596_7020848dac_k.jpg" subtitle: "Being we only have MicroSD card as its primary storage, we don't have that much privilige to waste too much space in your Raspberry Pi, this post will explain on how you can have as much disk space as possible in your device." ---
This post assumes that you are using Raspbian Jessie.
If you executed df -h you'll notice that the root filesystem is just around 2GB or so. This is done to make it fit to 2GB SD cards. Most likely though, you have 4GB or even 8GB MicroSD card, so you might want the OS to make use of that entire space. To do so, execute:
{% highlight bash %} sudo raspi-config {% endhighlight %}Select expand_rootfs to make use of the entire space of your SD card. This will require a reboot. After rebooting, try df -h again and you'll see you have way better larger disk space available for your device.
If you are like me, I don't really use my Raspberry PI with a monitor, I rather use my laptop and connect to my RPI via SSH. For that reason, I don't need any of those GUI-related packages so I rather just purge them. To do so:
{% highlight bash %} sudo apt-get --purge remove x11-* sudo apt-get --purge autoremove {% endhighlight %}This will uninstall all x11 components and all their dependencies. In my case, I saved around ~1.5GB worth of disk space.
In my case, I have a NAS storage server, called DLINK DNS-320L ShareCenter. I strongly suggest you also do. From your NAS storage, create a NFS mount and mount it somewhere in your RPI filesystem. I use it for some really large files (file uploads for example), instead of writing them all to my SD card. This will keep your SD card dedicated for OS files and you can have your data files intact in your NAS storage.


This example is adapting the grid using custom settings. The text should map the default grid.
Another paragraph.
No one rejects, dislikes, or avoids pleasure itself, because it is pleasure, but because those who do not know how to pursue pleasure rationally encounter consequences that are extremely painful.
Another paragraph.
Checking that single header works.
Another paragraph.
Checking that single header works.
Checking that single header works.
Checking that single header works.
Checking that single header works.
No one rejects, dislikes, or avoids pleasure itself, because it is pleasure, but because those who do not know how to pursue pleasure rationally encounter consequences that are extremely painful.
No one rejects, dislikes, or avoids pleasure itself, because it is pleasure, but because those who do not know how to pursue pleasure rationally encounter consequences that are extremely painful.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo. Quisque sit amet est et sapien ullamcorper pharetra. Vestibulum erat wisi, condimentum sed, commodo vitae
, ornare sit amet, wisi. Aenean fermentum, elit eget tincidunt condimentum, eros ipsum rutrum orci, sagittis tempus lacus enim ac dui. Donec non enim in turpis pulvinar facilisis. Ut felis.
This is bold and strong text. No one rejects, dislikes, or avoids pleasure itself.
This is italic emphased text. No one rejects, dislikes, or avoids pleasure itself.
Here comes a hr.
This is a marked sentence to highlight text.
There can be sup 1, 2 and sub 1, 2 that can be nice to use.
Here comes text that is smaller and keeping standard lineheight. No one rejects, dislikes, or avoids pleasure itself, because it is pleasure, but because those who do not know how to pursue pleasure rationally encounter consequences that are extremely painful.
No one rejects, dislikes, or avoids pleasure itself, because it is pleasure. Here comes som function helloWorld();
codish style. But because those who do not know how to pursue pleasure rationally encounter consequences that are extremely painful.
No one rejects, dislikes, or avoids pleasure itself, because it is pleasure. This is text formatted as keyboard input codish style. But because those who do not know how to pursue pleasure rationally encounter consequences that are extremely painful.
No one rejects, dislikes, or avoids pleasure itself, because it is pleasure. This is text formatted as sample output from command codish style. But because those who do not know how to pursue pleasure rationally encounter consequences that are extremely painful.
HTML is the standard markup language for creating web pages. Hoover to see its definition.
The WHO was founded in 1948. Hoover to see the abbrevation spelled out.
No one rejects, dislikes, or avoids pleasure itself, because it is pleasure, but because those who do not know how to pursue pleasure rationally encounter consequences that are extremely painful.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
To take a trivial example, which of us ever undertakes laborious physical exercise, except to obtain some advantage from it?
Nor again is there anyone who loves or pursues or desires to obtain pain of itself, because it is pain, but because occasionally circumstances occur in which toil and pain can procure him some great pleasure.
#header h1 a { display: block; width: 300px; height: 80px; }
To take a trivial example, which of us ever undertakes laborious physical exercise, except to obtain some advantage from it?
To take a trivial example, which of us ever undertakes laborious physical exercise, except to obtain some advantage from it?
To take a trivial example, which of us ever undertakes laborious physical exercise, except to obtain some advantage from it?
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
| Header 1 | Header 2 | Header 3 | Header 4 |
|---|---|---|---|
| Table cell | Table cell | Table cell | Table cell |
| Table cell | Table cell | Table cell | Table cell |
| Table cell | Table cell | Table cell | Table cell |
| Header 1 | Header 2 | Header 3 | Header 4 |
|---|---|---|---|
| Table cell | Table cell | Table cell | Table cell |
| Table cell | Table cell | Table cell | Table cell |
| Table cell | Table cell | Table cell | Table cell |
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
| Header 1 | Header 2 | Header 3 | Header 4 |
|---|---|---|---|
| Table cell | Table cell | Table cell | Table cell |
| Table cell | Table cell | Table cell | Table cell |
| Table cell | Table cell | Table cell | Table cell |
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
| Header 1 | Header 2 | Header 3 | Header 4 |
|---|---|---|---|
| Table cell | Table cell | Table cell | Table cell |
| Table cell | Table cell | Table cell | Table cell |
| Table cell | Table cell | Table cell | Table cell |
| Table cell | Table cell | Table cell | Table cell |
| Table cell | Table cell | Table cell | Table cell |
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
But who has any right to find fault with a man who chooses to enjoy a pleasure that has no annoying consequences, or one who avoids a pain that produces no resultant pleasure?
On the other hand, we denounce with righteous indignation and dislike men who are so beguiled and demoralized by the charms of pleasure of the moment, so blinded by desire, that they cannot foresee the pain and trouble that are bound to ensue; and equal blame belongs to those who fail in their duty through weakness of will, which is the same as saying through shrinking from toil and pain.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.
These cases are perfectly simple and easy to distinguish.
In a free hour, when our power of choice is untrammelled and when nothing prevents our being able to do what we like best, every pleasure is to be welcomed and every pain avoided.
But in certain circumstances and owing to the claims of duty or the obligations of business it will frequently occur that


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There's Something About Mary A review by Joe Chamberlain
Starring Cameron Diaz; Matt Dillon; Ben Stiller; Lee Evans & Chris Elliott
There's Something About Mary is, by far, the funniest movie that I have seen this year. It is also one of the funniest films that I have ever seen, period.  Some of the scenes in this baby would make a sailor blush, although that same sailor would probably be falling off his seat laughing as he was watching. Mary centers on a one-time high school geek played by Ben Stiller who wants to be reunited with the girl of his high school dreams, Mary (Cameron Diaz). He enlists a sleazy investigator (Matt Dillon) to find her. This is the story of his adventures trying to woo the girl of his dream. That is a major simplification but if I told you any more, I'd have to kill you. All right, maybe just a little more. Stiller sends Dillon down to Florida where Mary is now living to find out what her life is like. (I.e., whether she is still single or not.) When Dillon's character gets down there he falls hopelessly in love with Mary too. So it then becomes a contest between Stiller and Dillon as to who will win Mary's heart. (My guess is that they are going after that body too.)
The jokes are nonstop in this film, and much of the comedy is on the slapstick side. I guarantee you that if you wait to watch this movie on network television, you will miss the best scenes in the movie. They will surely edit out possibly the 2 funniest scenes ever put to film (namely Ben Stiller having a problem with his zipper and Cameron Diaz's hair gel).
Every performance in this film was a great one. I've always though Diaz was great, but I've never been a huge fan of either Stiller or Dillon (all though his stock rose considerably after Wild Things). I have to say that after this film, I'm a fan of both actors. The physical comedy was choreographed perfectly and I really don't think that the writers could have fit one more funny moment into this film. It was simply great from start to finish.
My advice -- There's Something About Mary should only be seen in it's original uncut version. Any other way would ruin one of the funniest films you are likely to see in a long time.
9/10
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The facts are clear: mental health affects countless people around the world. Although it doesn’t always feel that way, you are undeniably and overwhelmingly not alone. Yet stigma and misinformation are still rampant and make it scary, difficult, and sometimes dangerous to reach out for help. And that’s where we come in! MindPal is your pal in mental health- providing resources for those who are struggling and factual, stigma-erasing information for those who want to learn. Take a look around.
Thank you for visiting, and doing your part to give mental health the care and awareness it deserves.
MindPal was created by 4 girls who are passionate about fighting the mental health stigma. Using our web development coding skills, we worked hard to create an informative website by and for those with mental illnesses, as well as their loved ones. Our goal is to spread awareness, one click at a time.


Just a normal guy going about development, google is my best friend. I like web development with javascript, also with an interest in Python. Interested in the prospect of data science and its application in sports and also the up and coming scene of E-sports. I love football and am a huge fan of Arsenal Football Club.
Formerly an associate Developer at Accenture. Currently working at Merkle as a JavaScript Developer and Google Tag Manager consultant.
My first ReactJS project as part of the learning process. This is a single page application that returns list of robo cards provided by https://robohash.org/ when it is provided any random input.
A ReactJS application that allows users to have accounts and sign in to avail recognition of faces(if any) of any image URL provided. This application uses Face detection model provided by Clarifai to detect faces. Server environment is developed using node.js and the database used is PostgreSQL
Feel free to reach out to me via Email
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OnSession
Use on_session if you intend to only reuse the payment method when your customer is present in your checkout flow.


Writing your thesis with LaTeX effectively
Peter W. Smith
GK Nominal Modification, WiSe 2019-2020
Slides for Latex Tutorial
Slides for Git Tutorial


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@remarks
To calculate the exact array size required by GetCharsEx to store the resulting characters, the application should use GetCharCount. To calculate the maximum array size, the application should use GetMaxCharCount. The GetCharCount method generally allows allocation of less memory, while the GetMaxCharCount method generally executes faster.
Encoding.GetCharsEx gets characters from an input byte sequence. Encoding.GetCharsEx is different than Decoder.GetChars because Encoding expects discrete conversions, while Decoder is designed for multiple passes on a single input stream.
If the data to be converted is available only in sequential blocks (such as data read from a stream) or if the amount of data is so large that it needs to be divided into smaller blocks, the application should use the Decoder or the Encoder provided by the GetDecoder method or the GetEncoder method, respectively, of a derived class.
Note This method is intended to operate on Unicode characters, not on arbitrary binary data, such as byte arrays. If your application needs to encode arbitrary binary data into text, it should use a protocol such as uuencode, which is implemented by methods such as Convert.ToBase64CharArray.
The GetCharCount method determines how many characters result in decoding a sequence of bytes, and the GetCharsEx method performs the actual decoding. The Encoding.GetCharsEx method expects discrete conversions, in contrast to the Decoder.GetChars method, which handles multiple passes on a single input stream.
Several versions of GetCharCount and GetCharsEx are supported. The following are some programming considerations for use of these methods:
| Exception | Condition |
|---|---|
| ArgumentNullException |
Bytes is uninitialized. -or- Chars is uninitialized. |
| ArgumentOutOfRangeException |
ByteIndex is less than the lower-bound of Bytes. -or- CharIndex is less than the lower-bound of Chars. -or- ByteCount is less than zero. -or- ByteIndex and ByteCount do not denote a valie range in Bytes. -or- CharIndex is not a valid index in Chars |
| ArgumentException | Chars does not have enough capacity from CharIndex to the end of the array to accommodate the resulting characters. |
| DecoderFallbackException | A fallback occurred -and- DecoderFallback is set to DecoderExceptionFallback. |
Public Sub Main() Dim UnicodeString As String Dim ASCII As Encoding Dim Unicode As Encoding Dim UnicodeBytes() As Byte Dim ASCIIBytes() As Byte Dim ASCIIChars() As Integer Dim ASCIIString As String Set Console.OutputEncoding = Encoding.UTF8 UnicodeString = "This string contains the unicode character Pi (" & ChrW$(&H3A0) & ")" ' Create two different encodings. Set ASCII = Encoding.ASCII Set Unicode = Encoding.Unicode ' Convert the string into a byte array. UnicodeBytes = Unicode.GetBytes(UnicodeString) ' Perform the conversion from one encoding to the other. ASCIIBytes = Encoding.Convert(Unicode, ASCII, UnicodeBytes) ' Convert the new byte array into a char array and then into a string. ReDim ASCIIChars(0 To ASCII.GetCharCount(ASCIIBytes) - 1) ASCII.GetCharsEx ASCIIBytes, 0, CorArray.Length(ASCIIBytes), ASCIIChars, 0 ASCIIString = NewString(ASCIIChars) ' Display the strings created before and after the conversion. Console.WriteLine "Original string: {0}", UnicodeString Console.WriteLine "Ascii converted string: {0}", ASCIIString Console.ReadKey End Sub ' This example code produces the following output. ' ' Original string: This string contains the unicode character Pi (Π) ' Ascii converted string: This string contains the unicode character Pi (?)


By default, the Tomcat module will run Geode automatically with pre-configured settings. You can change these Geode settings.
Here are the default settings:
- Locators are used for member discovery.
- The region name is set to
gemfire_modules_sessions
. - The cache region is replicated for peer-to-peer configurations and partitioned (with redundancy turned on) for client/server configurations.
- Geode clients have local caching turned on and when the local cache needs to evict data, it will evict least-recently-used (LRU) data first.
Note: On the application server side, the default inactive interval for session expiration is set to 30 minutes. To change this value, refer to Session Expiration.
Changing Geode Distributed System Properties
Geode system properties must be set by adding properties to Tomcat’s server.xml
file. When setting properties, use the following syntax:
<Listener
className="org.apache.geode.modules.session.catalina.xxxLifecycleListener"
name="value"
name="value"
...
/>
If the xxxLifecycleListener
is a PeerToPeerCacheLifecycleListener
, then a minimal addition to the server.xml
file is
<Listener
className="org.apache.geode.modules.session.catalina.
PeerToPeerCacheLifecycleListener"
cache-xml-file="cache-peer.xml"
locators="localhost[10334]"
/>
The list of configurable Tomcat’s server.xml
system properties include any of the properties that can be specified in Geode’s gemfire.properties
file. The following list contains some of the properties that can be configured.
| Parameter | Description | Default |
|---|---|---|
| cache-xml-file | name of the cache configuration file | cache-peer.xml for peer-to-peer, cache-client.xml for client/server |
| locators (only for peer-to-peer topology) | (required) list of locators (host[port]) used by Geode members; if a single locator listens on its default port, then set this value to "localhost[10334]" |
empty string |
| log-file | name of the Geode log file | gemfire_modules.log |
| statistic-archive-file | name of the Geode statistics file | gemfire_modules.gfs |
| statistic-sampling-enabled | whether Geode statistics sampling is enabled | false |
For more information on these properties, along with the full list of properties, see the Reference.
In addition to the standard Geode system properties, the following cache-specific properties can also be configured with the LifecycleListener
.
| Parameter | Description | Default |
|---|---|---|
| criticalHeapPercentage | percentage of heap at which updates to the cache are refused | 0 (disabled) |
| evictionHeapPercentage | percentage of heap at which session eviction begins | 80.0 |
| rebalance | whether a rebalance of the cache should be done when the application server instance is started | false |
Although these properties are not part of the standard Geode system properties, they apply to the entire JVM instance and are therefore also handled by the LifecycleListener
. For more information about managing the heap, refer to Managing Heap and Off-heap Memory.
Changing Cache Configuration Properties
To edit Geode cache properties such as the name and the characteristics of the cache region, you add these properties to Tomcat’s context.xml
file. When adding properties, unless otherwise specified, use the following syntax:
<Manager
className="org.apache.geode.modules.session.catalina.Tomcat7DeltaSessionManager"
name="value"
name="value"
...
/>
In the preceding code snippet, name
is the property name and value
is the property value. For example:
<Manager className="org.apache.geode.modules.session.catalina.
Tomcat7DeltaSessionManager"
regionAttributesId="PARTITION_REDUNDANT"
regionName="my_region"
/>
This example creates a partitioned region by the name of “my_region”.
The following parameters are the cache configuration parameters that can be added to Tomcat’s context.xml
file.
context.xml
file, then only one put will be performed into the cache for the session per HTTP request. If the configuration line is not included, then the session is saved each time the setAttribute
or removeAttribute
method is invoked. As a consequence, multiple puts are performed into the cache during a single session. This configuration setting is recommended for any applications that modify the session frequently during a single HTTP request.Default: Set
To disable this configuration, remove or comment out the following line from Tomcat’s context.xml
file.
<Valve className="org.apache.geode.modules.session.catalina.CommitSessionValve"/>
Default: false
The Geode API equivalent to setting this parameter:
// Create factory
AttributesFactory factory = ...; <or> RegionFactory factory = ...;
// Add cache listener
factory.addCacheListener(new DebugCacheListener());
Default: false
for peer-to-peer, true
for client/server
The Geode API equivalent to setting this parameter:
// For peer-to-peer members:
Cache.createRegionFactory(REPLICATE_PROXY);
// For client members:
ClientCache.createClientRegionFactory(CACHING_PROXY_HEAP_LRU);
Default: REPLICATE for peer-to-peer, PARTITION_REDUNDANT for client/server
The Geode API equivalent to setting this parameter:
// Creates a region factory for the specified region shortcut
Cache.createRegionFactory(regionAttributesId);
Default: gemfire_modules_sessions
The Geode API equivalent to setting this parameter:
// Creates a region with the specified name
RegionFactory.create(regionName);


"boost/flyweight/locking_tag.hpp"
synopsis 头文件"boost/flyweight/locking_tag.hpp"大意
"boost/flyweight/simple_locking_fwd.hpp"
synopsis 头文件"boost/flyweight/simple_locking_fwd.hpp"大意
"boost/flyweight/simple_locking.hpp"
synopsis 头文件"boost/flyweight/simple_locking.hpp"大意
"boost/flyweight/no_locking_fwd.hpp"
synopsis 头文件"boost/flyweight/no_locking_fwd.hpp"大意
"boost/flyweight/no_locking.hpp"
synopsis 头文件"boost/flyweight/no_locking.hpp"大意
A mutex is a type whose objects can be in either of two states, called
locked and unlocked, with the property that when a thread A has locked a
mutex m
and a different thread B tries to lock m
,
B is blocked until A unlocks m
. Additionally, a mutex is said to
support recursive locking if a thread can succesfully invoke the locking
operation for a mutex already locked by this same thread; in this case, it is
required that the thread execute as many unlock operations as lock
operations it has performed for the mutex to become effectively unlocked.
A scoped lock is a
type associated to some mutex type whose objects do the locking/unlocking
of a mutex on construction/destruction time.
mutex类型的对象只能处在2种状态之一，锁定或者未锁定，这种对象的特性是：当线程A已经锁定了互斥体m
而另外一个线程B尝试锁定m
时，B会被阻塞直到A解锁m
。 另外，如果一个线程可以在它已经锁定的互斥体上成功调用锁定操作，该互斥体就被说成是支持递归锁定的；在这种情况下，线程在互斥体上执行了多少锁定操作就要执行同样多的解锁操作才能让互斥体成功解锁。范围锁是与某个互斥类型相关的类型，该类型的对象在构造/析构的时候对一个互斥体进行锁定/解锁。
In the following table, Mutex
is a mutex type, m
is an object of type Mutex
, Lock
is a scoped lock
associated to Mutex
and lk
is a value of
Lock
.
在下面这个表格里，Mutex
是一个互斥体类型，m
是一个Mutex
类型的对象，Lock
是关联到Mutex
的一个范围锁，lk
是Lock
类型的一个值。
| expression | return type | assertion/note pre/post-condition |
|---|---|---|
Mutex m; |
Post: m is unlocked.
|
|
(&m)->~Mutex(); |
void |
Pre: m is unlocked. |
Lock lk(m); |
Associates m to lk and locks m . |
|
(&lk)->~Lock(); |
void |
Unlocks the mutex associated to lk . |
These concepts are very similar, but not entirely equivalent, to the homonym ones described in the Boost Thread Library.
这些概念同Boost Thread Library里描述的同名概念非常相似，但不完全等同。
Locking policies describe a mutex type and an associated
scoped lock type.
flyweight
uses a given locking
policy to synchronize the access to its internal
factory.
锁定策略描述了一个互斥体类型和它相关的范围锁类型。flyweight
使用一种给定的锁定策略来同步到它的内部factory的访问。
A type Locking
is a locking policy if: 类型Locking
是一种锁定策略如果：
is_locking<Locking>::type
is
boost::mpl::true_
, is_locking<Locking>::type
是boost::mpl::true_
Locking
is of the form
locking<Locking'>
. Locking
的格式是locking<Locking'>
Locking::mutex_type
(or
Locking'::mutex_type
if (b) applies) is a
model of Mutex
and supports recursive locking.Locking::lock_type
(or
Locking'::lock_type
if (b) applies) is a
Scoped Lock
of
the mutex referred to above."boost/flyweight/locking_tag.hpp"
synopsis "boost/flyweight/locking_tag.hpp"
大意namespace boost{ namespace flyweights{ struct locking_marker; template<typename T> struct is_locking template<typename T> struct locking; } // namespace boost::flyweights } // namespace boost
is_locking 类模板 is_locking
Unless specialized by the user, is_locking<T>::type
is
boost::mpl::true_
if T
is derived from locking_marker
, and it is
boost::mpl::false_
otherwise.
除非用户进行了专门化，如果T
如是从locking_marker
派生的，is_locking<T>::type
是boost::mpl::true_
，否则是boost::mpl::false_
。
locking 类模板 locking
locking<T>
is a syntactic construct meant to indicate
that T
is a locking policy without resorting to the
mechanisms provided by the is_locking
class template.
locking<T>
是一种用于表明T
是一种锁定策略的语法机制， 此时不需要借助is_locking
类模板提供的机制。
"boost/flyweight/simple_locking_fwd.hpp"
synopsis "boost/flyweight/simple_locking_fwd.hpp"
大意namespace boost{ namespace flyweights{ struct simple_locking; } // namespace boost::flyweights } // namespace boost
simple_locking_fwd.hpp
forward declares the class
simple_locking
.
simple_locking_fwd.hpp
前向声明类simple_locking
"boost/flyweight/simple_locking.hpp"
synopsis "boost/flyweight/simple_locking.hpp"
大意simple_locking 类 simple_locking
Locking Policy
that specifies a basic
mutex type based on the simplest synchronization mechanisms provided by
the environment; When no threading capabilities are available,
simple_locking
specifies a dummy type without actual
synchronization capabilities.
这种锁定策略指定的基本互斥对象基于环境所能提供的最简单的同步机制。当线程功能不可用时，
simple_locking
描述的是一个没有实际同步能力的空类型。
"boost/flyweight/no_locking_fwd.hpp"
synopsis "boost/flyweight/no_locking_fwd.hpp"
大意namespace boost{ namespace flyweights{ struct no_locking; } // namespace boost::flyweights } // namespace boost
no_locking_fwd.hpp
forward declares the class
no_locking
.
no_locking_fwd.hpp
前向声明类no_locking
。
"boost/flyweight/no_locking.hpp"
synopsis "boost/flyweight/no_locking.hpp"
大意no_locking 类 no_locking
Null Locking Policy
: it specifies a dummy
type that satisfies the formal requirements for the
Mutex
concept but does not perform
thread blocking. no_locking
should only be used in single-threaded
environments.
空的锁定策略：它描述的空类型满足了
Mutex
概念形式上的要求却不阻塞线程。no_locking
只应该在单线程环境下使用。
Revised March 9th 2010
© Copyright 2006-2010 Joaquín M López Muñoz. Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)


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WKD (Web Key Directory) is an
experimental feature
that allows users to authoratively publish their public PGP keys on the web, via HTTPS.
Unlike other solutions (like public keyservers), WKD has the advantage that the owner
of the domain has some degree of control over what keys are published and as such there
is more certainity that the key actually belongs to it's owner.
As of this version, there is no support for WKS - This may or may not change in the future.


Brendon Crawford
Brendon taught himself to program at age 10, and has been involved with software development ever since. After more than 20 years of experience, he has taken on many roles, from engineer and technical co-founder, to systems admin and customer support. He prefers to call himself a company builder more than simply a programmer. With CoLab, Brendon analyzes data to help make better decisions and products with our clients. He has been a long time collaborator and trusted advisor to CoLab’s founding team.
Brendon lives in Santa Monica, California. He supports Free/Libre and Open Source Software. Some of the projects he contributes to include Django, Celery, Piwik Open Analytics, JSLint, and Strophejs.


public class StreamPipe
extends java.lang.Object
This class starts a thread, which transfers data from input stream to output stream until End Of File is reached or IOException caused by IO error is catched.
| Constructor and Description |
|---|
StreamPipe()
Create synchronous stream connector.
|
StreamPipe(boolean bSync)
Create synchronous or asynchronous stream conector.
|
| Modifier and Type | Method and Description |
|---|---|
void |
between(java.io.InputStream in,
java.io.OutputStream out)
Establish connection between input and output streams with default buffer size and no auto-flush.
|
void |
between(java.io.InputStream in,
java.io.OutputStream out,
int bufferSize)
Establish connection between input and output streams with specified size of buffer used for data transfer and no auto-flush.
|
void |
between(java.io.InputStream in,
java.io.OutputStream out,
int bufferSize,
boolean autoFlush)
Establish connection between input and output streams with specified size of buffer used for data transfer.
|
static void |
between(java.lang.String sFilePath,
java.io.OutputStream oOutStrm)
Establish synchronous connection between a file and an output stream
with specified size of buffer used for data transfer.
|
public StreamPipe()
public StreamPipe(boolean bSync)
public void between(java.io.InputStream in, java.io.OutputStream out, int bufferSize, boolean autoFlush) throws java.io.IOException
in
- input streamout
- output streambufferSize
- int size of buffer used to transfer data from the input stream to the output streamautoFlush
- if set to true OutputStream.flush() method will be called each time bufferSize bytes are written into output streamjava.io.IOException
public void between(java.io.InputStream in, java.io.OutputStream out, int bufferSize) throws java.io.IOException
in
- input streamout
- output streambufferSize
- int size of buffer used to transfer data from the input stream to the output streamjava.io.IOException
public void between(java.io.InputStream in, java.io.OutputStream out) throws java.io.IOException
in
- input streamout
- output streamjava.io.IOException
public static void between(java.lang.String sFilePath, java.io.OutputStream oOutStrm) throws java.io.IOException, java.io.FileNotFoundException
sFilePath
- input streamoOutStrm
- output streamjava.io.IOException
java.io.FileNotFoundException


This chapter describes describes some hints for developers.
There is not so much to say about that, just take a look at the existing
source files.
The Tab-Width is eight with an indent of fore. Please make a space between
operators and operands.
NEVER call NgFuncGetStats() with the clear parameter set to true, because there are other functions (echo requests/replies, bandwidth management) wich relies on increasing link-stats. Mpd carries a copy of the netgraph link-stats at link-level, just use these instead. You can call LinkUpdateStats() for updating the internal stats-struct.
Authentication backends must run independently from the rest of Mpd, i.e.
you must not access any Mpd resource, because
the authentication process is started in its own thread (you have to
take care about thread-safety). An AuthData
object is passed
to your authenticating function which carries a copy of all required
information. If your backend provides other parameters, like MTU, IP, etc.
then put these at the appropriate place into AuthData
or
Auth
.
If you can not avoid reading from Mpd's internal data, then acquire the Giant Mutex:
[...] pthread_mutex_lock(&gGiantMutex); [do whatever] pthread_mutex_unlock(&gGiantMutex); [...]


Welcome, Enjoy Your Stay
The 411
- 23 years young
- Born and raised in Carmel, California
- Graduate of UC Riverside with a BA in psychology
My Interests i.e. the roadmap to my heart
- Books
- Football
- Miyazaki (and anime in general)
- Video Games! No casuals allowed
Can I have yo numba?
no, but you can have my e-mail
I'm running out of things to write about
Aaand I'm out


echo
start Pd26sto
scratch_dir /home/Else/Nwchem
permanent_dir /home/Else/Nwchem
memory stack 20000 mb heap 10000 mb global 40000 mb noverify
charge 0
title Pd26
geometry
????
dft
direct
rodft
grid xfine
xc PBE0
mult 9
maxiter 999
sym D3h
smear
convergence damp 45 ncydp 0 dampon 1d99 dampoff 1d-4 lshift 0.5
end
set quickguess t
task dft optimize
OUTPUT?????????????
????
Caching 1-el integrals
Rotation of axis
General Information
-------------------
SCF calculation type: DFT
Wavefunction type: restricted open shell.
No. of atoms : 26
No. of electrons : 1196
Alpha electrons : 602
Beta electrons : 594
Charge : 0
Spin multiplicity: 9
Use of symmetry is: off; symmetry adaption is: on
Maximum number of iterations: 999
This is a Direct SCF calculation.
AO basis - number of functions: 754
number of shells: 286
Convergence on energy requested: 1.00D-06
Convergence on density requested: 1.00D-05
Convergence on gradient requested: 5.00D-04
XC Information
--------------
PBE0 Method XC Functional
Hartree-Fock (Exact) Exchange 0.250
PerdewBurkeErnzerhof Exchange Functional 0.750
Perdew 1991 LDA Correlation Functional 1.000 local
PerdewBurkeErnz. Correlation Functional 1.000 non-local
Grid Information
----------------
Grid used for XC integration: xfine
Radial quadrature: Mura-Knowles
Angular quadrature: Lebedev.
Tag B.-S. Rad. Rad. Pts. Rad. Cut. Ang. Pts.
--- ---------- --------- --------- ---------
Pd 1.40 205 18.0 1454
Grid pruning is: on
Number of quadrature shells: 5330
Spatial weights used: Erf1
Convergence Information
-----------------------
Convergence aids based upon iterative change in
total energy or number of iterations.
Levelshifting, if invoked, occurs when the
HOMO/LUMO gap drops below (HL_TOL): 1.00D-02
DIIS, if invoked, will attempt to extrapolate
using up to (NFOCK): 10 stored Fock matrices.
Damping(45%) Levelshifting(0.5) DIIS
--------------- ------------------- ---------------
dE on: 0.10+100 ASAP start
dE off: 0.10D-03 999 iters 999 iters
Smearing applied: 0.10D-02 (hartree)
Screening Tolerance Information
-------------------------------
Density screening/tol_rho: 1.00D-10
AO Gaussian exp screening on grid/accAOfunc: 14
CD Gaussian exp screening on grid/accCDfunc: 20
XC Gaussian exp screening on grid/accXCfunc: 20
Schwarz screening/accCoul: 1.00D-08
Superposition of Atomic Density Guess
-------------------------------------
Sum of atomic energies: -127121.32270760
----------------------------------------------
Quadratically convergent ROKS
Convergence threshold : 5.000E-04
Maximum no. of iterations : 999
Final Fock-matrix accuracy: 1.000E-08
----------------------------------------------
Grid_pts file = /home/Else/Nwchem/Pd26sto.gridpts.00
Record size in doubles = 12289 No. of grid_pts per rec = 3070
Max. records in memory = 175 Max. recs in file = 469936
Grid integrated density:<PHONE_NUMBER>33488
Requested integration accuracy: 0.10E-07
iter energy gnorm gmax time
----- ------------------- --------- --------- --------
1 -72259.8361761210 8.28D+03 1.19D+03 205.4
!! scf_movecs_sym_adapt: 751 vectors were symmetry contaminated
Symmetry fudging
!! scf_movecs_sym_adapt: 682 vectors were symmetry contaminated
!! 3855 symmetry forbidden rotations with max = 1.60D+02
Setting level-shift to ****** to force positive preconditioner
???????
!! 497 symmetry forbidden rotations with max = 6.50D-05
!! 363 symmetry forbidden rotations with max = 2.92D-05
104 -127244.8274415903 8.05D-04 8.06D-05 57214.3
!! 3 symmetry forbidden rotations with max = 2.07D-06
!! 712 symmetry forbidden rotations with max = 2.74D-04
!! 414 symmetry forbidden rotations with max = 4.80D-05
105 -127244.8274416848 5.28D-04 6.86D-05 57659.6
!! 1 symmetry forbidden rotations with max = 1.16D-06
!! 416 symmetry forbidden rotations with max = 3.73D-05
!! 306 symmetry forbidden rotations with max = 2.14D-05
106 -127244.8274417483 5.57D-04 8.64D-05 58111.8
!! 1 symmetry forbidden rotations with max = 2.81D-06
!! 599 symmetry forbidden rotations with max = 1.56D-04
!! 312 symmetry forbidden rotations with max = 2.82D-05
107 -127244.8274418023 3.79D-04 4.77D-05 58562.5
Total DFT energy = -127244.827441802292
One electron energy = -350858.963475476019
Coulomb energy =<PHONE_NUMBER>13902174
Exchange-Corr. energy = -2740.437743280313
Nuclear repulsion energy = 87528.676663051869
Numeric. integr. density = 1196.000007391464
Total iterative time = 58560.5s
?????
dft_gradient: DFT MO vectors not defined 0
------------------------------------------------------------------------
------------------------------------------------------------------------
current input line :
81: task dft optimize
------------------------------------------------------------------------
------------------------------------------------------------------------
An error occured in the Runtime Database
------------------------------------------------------------------------
For more information see the NWChem manual at
http://nwchemgit.github.io/index.php/NWChem_Documentation
For further details see manual section:
MPI_ABORT was invoked on rank 0 in communicator MPI COMMUNICATOR 3 DUP FROM 0
with errorcode -1.

You may or may not see output from other processes, depending on
exactly when Open MPI kills them.
dft_gradient: DFT MO vectors not defined 0
------------------------------------------------------------------------
------------------------------------------------------------------------
current input line :
0:
------------------------------------------------------------------------
------------------------------------------------------------------------
An error occured in the Runtime Database
------------------------------------------------------------------------
For more information see the NWChem manual at
http://nwchemgit.github.io/index.php/NWChem_Documentation
For further details see manual section:
|


Developers, IT architects and IT-pros with an interest in knowing and learning more about the Microsoft Cloud Computing platform.
Get to know people, grow your network, exchange of valuable information on solutions in the Cloud, or simply chat about cloud technology.
A full immersion day that will make you fit to develop cloud applications and create infrastructure in Microsoft Azure.
11:30 - 12:00
Frokost og registrering.
Klik på teksten "IT-Pro Track" for nærmere information om dette forløb
Dette forløb er primært tiltænkt IT administratore og IT teknikere der gerne vil vide mere omkring Azure IaaS, Azure Active Directory (MDM, PIM, Conditional Access), Microsoft OMS, m.m.
Klik på teksten "Developer and DevOps Track" for nærmere information om dette forløb
Dette forløb er primært tiltænkt udviklere der anvneder eller gerne vil anvende Microsoft Azure i som platform.
12:00 - 12:15
Kick-off Slides. Taler: Peter Selch Dahl
12:15 - 13:00
Azure Active Directory MSI gives the runtime of your code an automatically managed identity for authenticating to Azure services, which allows you to keep credentials out of your code and separate concerns. In this session you will get an introduction to the concept and a demo of the functionality. Key technologies include Azure Active Directory, Web Sites, Functions, Key Vault and Azure SQL. Managed Service Identity (MSI) for Azure resources. Talere: Mads Damgård (Azure Solution Architect)
13:00 - 13:20
Der er i pauserne gode mulighederne for at tale med hinanden og talerne. Der vil ligeledes være mulighed for at prøve Microsoft HoloLens
13:20 - 14:05
Disrupting the revolution of cyber-threats requires a platform with revolutionary security capabilities and the Windows 10 Creators Update rises to the occasion. In this session, we'll talk about each of the security improvements in the Windows 10 Creators Edition and then we'll talk about how Windows 10 security capabilities dovetail with the security capabilities in Office 365, our Server and Tools products, and Azure. Taler: Jesper Nielsen
This session will provide an introduction to Azure AD Apps, consent, assignment and security. Taler: Peter Selch Dahl
14:05 - 14:25
Der er i pauserne gode mulighederne for at tale med hinanden og talerne.
14:25 - 15:10
Learn how to create a secure and modern Windows device - to deliver corporate data and applications to users with the promise of modern management, security and deployment. Capture the benefits of a cloud-powered management platform with very advanced security intelligence graph, to the end goal of getting productive user experiences that the user loves and the IT department trusts. Taler: Per Larsen
During this session we will explore different aspects of how to do automation with OMS. - We will look at how to automatically deploy the OMS agent to a virtual machine - Automate deployment of OMS Solution - Have a look at the OMS ITSM connector this session will cover ServiceNow. - Integrate Azure Automation, Azure VM, OMS and ServiceNow in order to automate operations tasks. Taler: Flemming Rohde
15:10 - 16:10
Der er i pauserne gode mulighederne for at tale med hinanden og talerne. Edgemo er også så venlige, at de giver slik og kaffe. Der vil ligeledes være mulighed for at prøve Microsoft HoloLens. Vil du have muligheden for at vinde en billet til Intelligentcloud.dk konference, så skal du installere Kahoot app'en eller gå til siden https://kahoot.it/ i din browser
16:10 - 17:00
This session will give an introduction to the newly introduced modern authentication (FIDO / WebAuthn) option in Azure Active Directory and Windows 10 Redstone 4, which provides yet a not step in the right direction to eliminate passwords entirely. Obviously we all hate passwords and we all know that passwords are incredibly insecure because they’re based on shared secrets. But how can we run our business without any password? Come an hear about these amazing new possibilities and how we make the world more secure. Windows Hello and FIDO2 Security Keys enable secure and easy authentication for shared devices. Taler: Peter Selch Dahl
17:00 - 17:30
More Information soon


Black Friday Deals 2019: The Best Fashion and Beauty Discounts
by Amy LeeGet ready, Black Friday is next week!
We're counting down the days til we can score big on our favorite brands across categories during one of the biggest sale events of the year.
Amazon and Nordstrom have already given a sneak preview into their highly anticipated discounts.
To help you make the most out of Black Friday 2019 (especially if you're looking to save on gifts), read up on all the info you need to know about the upcoming sale event so far.
When Is Black Friday?
Black Friday officially starts on Nov. 29, the day after Thanksgiving. However, most retailers and brands will most likely begin their sales as early as Nov. 25 and extend to as long as Cyber Monday, Dec. 2.
What Will Be on Sale?
Various fashion and beauty brands and retailers will be participating in Black Friday. Last year, major department stores like Nordstrom, Macy's, Walmart, Target and Bloomingdale's, along with e-commerce sites like Shopbop and Amazon, offered deals across categories. Brands that rarely go on sale such as Glossier, Reformation, Reebok and NARS had site-wide discounts. Others expected to be discounted are Aritzia, Express, Topshop, Ulta, Charlotte Tilbury, Birchbox, Tatcha, Peter Thomas Roth, Ann Taylor, ASOS and so many more.
How Do I Score the Best Deals?
We suggest you plan ahead! Before Thanksgiving week, we recommend you bookmark or save to cart all the items you are eyeing and check back to see if the brand or retailer has announced the sale.
ET Style will keep you up to date on the best fashion and beauty Black Friday deals, including the dates and discount codes, along with our favorite picks to add to cart.
More on the Best Black Friday Deals
Peek which pair of Spanx leggings and Nike shoes will be on sale.
Add discounted Levi's jeans and Bose headphones to cart at the same time.
See our sister sites for more Black Friday tech deals, Black Friday gaming deals and Black Friday kitchen deals.


Sorry, the challenge is not active.
Note: Your submissions won't be visible on leaderboard for Public Challenge Phases since you are a challenge host for this challenge.This feature is only for your testing purposes.
$ pip install evalai{{ cliVersion }}
$ evalai set_token {{ authToken }}
$ evalai push <image>:<tag> --phase <phase_name>
| Phase details | Remaining submissions | Submission command | ||
|---|---|---|---|---|
|
{{ key.name }}
Start date: {{ key.start_date | date: 'medium' }} End date: {{ key.end_date | date: 'medium' }} |
Today:
{{ key.limits.remaining_submissions_today_count }} This month: {{ key.limits.remaining_submissions_this_month_count }} Total: {{ key.limits.remaining_submissions_count }} |
{{ key.limits.message }} Next submission will be available in
{{ phaseRemainingSubmissionsCountdown[key.id].days }} Days, {{ phaseRemainingSubmissionsCountdown[key.id].hours }} hours :
{{ phaseRemainingSubmissionsCountdown[key.id].minutes }}
minutes :
{{ phaseRemainingSubmissionsCountdown[key.id].seconds }} seconds
|
{{ key.limits.message }} {{ key.limits.maxExceededMessage }} |
$ evalai push <image>:<tag> --phase {{ key.slug }}
|
Select phase:
Submission Options:
Submission instructions
$ pip install evalai{{ cliVersion }}
$ evalai set_token {{authToken}}
$ evalai challenge {{challenge.id}} phase {{selectedPhase.id}} submit --file <submission_file_path> --large
--private
or --public
flag in the submission
command to make the submission private or public respectively.Select submission visibility:


While learning Python from Coursera Python for Everybody specialization, I made this individual project myself.
My goal with writing this Python script was
automatically tweet from my account the most up-to-date announcement on my institution's website(fbe.yildiz.edu.tr)


The Bride and Groom
Xingyun (廖行韵)
Xingyun (Lizzy) is a girl who likes to laugh. Born in Changsha, the entertainment hub of China, she never lacks a sense of humor and always enjoys entertaining others. After receiving her Bachelor Degree from Zhejiang University, Lizzy enjoyed two years of peaceful life in the beautiful Ann Arbor, Michigan for graduate school, and then moved to Boston. During most of her time in Boston, she played Sanguosha (三国杀) with her friends. Every now and then when she needs some rest from the game, she works as an actuary, wearing suits and talk with numbers. Now she is looking forward to her new life in the Golden State California. (Exciting!)
Hao (吴昊)
Hao is a handsome boy from the historical city Luoyang, China. For some unknown reasons, he thought Scientist is a really cool profession and always wanted to become a scientist ever since childhood. Hao played basketball a lot up to college, getting to know some of his best lifetime friends. After his college life in Zhejiang University, Hao came to the sunshining Southern California and successfully transitioned to the field of Electrical Engineering. Now with his Doctorate degree from UCLA (Go Bruins!), he can proudly say that he has fulfilled his childhood dream - "I'm a scientist!".
OUR STORY
Lizzy and Hao firstly met each other in the beautiful city Hangzhou, in their freshmen year at Zhejiang University. Outside the interview classroom of Melton Foundation, Hao made a self introduction to Lizzy and they started to chat. At the time none of them realized that the other person would become the most important one in their lives. It took them a year to recognize that they both liked each other, then naturally, they fell in love. They spent the following two fantastic years at Hangzhou, then six years of long-distance love between east and west coasts in United States.
Wedding
WHEN
Saturday, August 22, 2015
The Garden will be open to wedding guests at 5:00pm. Please be seated before 5:15pm.
SCHEDULE OF EVENTS
Ceremony
5:30pm - 6:00pm
Cocktail Hour
6:00pm - 7:00pm
Reception
7:00pm - 10:00pm
WHAT SHOULD I WEAR
The event is semiformal. Descanso Garden has a temperature around 65 °F~85 °F or 18 °C ~ 30 °C as a typical day in late August. It can be quite warm under the sun and a little chill under the shades or at night. The wedding is outdoor so ladies also keep in mind the appropriate footwear. Summer suits and summer dresses are welcomed but anything that you want to wear we are sure will be ok. The bride requests you refrain from wearing a wedding dress though.
Venue
ABOUT Descanso Garden
Descanso Gardens is an urban retreat of year-round natural beauty, internationally renowned botanical collections and spectacular seasonal horticultural displays. In 1953, Descanso founder E. Manchester Boddy preserved these 160 acres of gardens, woodlands and chaparral for future generations to experience the natural heritage and beauty of Southern California. Accredited by the American Association of Museums, Descanso Gardens welcomes thousands of visitors annually, from local members to international travelers. Go here for more information.
RSVP
Please click here for RSVP, we look forward to seeing you in our wedding!


Skip to main content
Skip to "About government"
Oh No! This page does not exist.
Go back to
POS Accessibility


| Interface | Description |
|---|---|
| HGAtomCache |
The
HGAtomCache interface abstracts the HyperGraph
caching activities in order for different caching policies and implementations
to be configured and plugged. |
| HGBidirectionalIndex<KeyType,ValueType> |
A
HGBidirectionalIndex provides efficient searching of an
index entry by value as well as by key. |
| HGGraphHolder |
The interface is for atoms that need to hold a reference to the
HyperGraph to which they belong. |
| HGHandle |
A
HGHandle represents a reference to a hypergraph atom. |
| HGHandleFactory |
The
HGHandleFactory is used to manage persistent handles
for the atoms of HyperGraph instance. |
| HGHandleHolder |
Implement this interface for atoms that will hold their HyperGraphDB handle
as a bean property.
|
| HGIndex<KeyType,ValueType> |
The
HGIndex interface represents an user-created index in the HyperGraph
data structure. |
| HGLink |
The
HGLink interface defines a hypergraph link. |
| HGOrderedSearchable<KeyType,ValueType> |
The
HGOrderedSearchable interface specifies that an object can be
viewed as an ordered collection from where a range of values can be obtained
based on a key and comparison operator. |
| HGPersistentHandle |
A
HGPersistentHandle is a HGHandle that survives system
downtime. |
| HGRandomAccessResult<ValueType> |
A
HGRandomAccessResult is a search result that is based on some
kind of cursor that allows immediate positioning on some result value, if it
exists. |
| HGSearchable<KeyType,ValueType> |
The
HGSearchable interface specifies that an object can be searched by a key. |
| HGSearchResult<T> |
Represents the result set of a
HyperGraph query. |
| HGSortIndex<KeyType,ValueType> |
A
HGSortIndex is a HGIndex that maintains its
keys in an order relation. |
| HGSystemFlags |
This interface defines a set of system-level atom flags that can be specified at
atom addition time in order to control things like atom lifetime.
|
| HGTypeHolder<T> |
Implement this interface for atoms that will hold the instance of their HyperGraphDB
type as a bean property.
|
| HyperNode | |
| LazyRef<T> |
Encapsulate the reference of an object for loading on demand.
|
| TwoWayIterator<T> |
This interface defines a bi-directional iterator over a collection of objects.
|
| Class | Description |
|---|---|
| HGAtomAttrib |
A simple structure that holds system-level atom attributes.
|
| HGConfiguration |
A bean that holds configuration parameters for a HyperGraphDB initialization.
|
| HGEnvironment |
This class provides some facilities to manage several open HyperGraph databases
within a single virtual machine.
|
| HGIndexManager |
The
HGIndexManager allows you to create atom indices. |
| HGPlainLink |
A default
HGLink implementation provided by hypergraph. |
| HGQuery<SearchResult> |
The
HGQuery class represents an arbitrary query to the HyperGraph
database. |
| HGQuery.hg |
This class serves as a namespace to a set of syntactically concise functions
for constructing HyperGraph query conditions and performing HyperGraph queries.
|
| HGStore |
An instance of
HGStore is associated with each HyperGraph
to manage to low-level interaction with the underlying database mechanism. |
| HGTypeSystem |
The
HGTypeSystem manages atom type information for a given
HyperGraph database. |
| HGValueLink |
HGValueLink is a HGLink that can hold an arbitrary
object as payload. |
| HyperGraph |
This is the main class representing a HyperGraph database.
|
| IncidenceSet |
Represents an atom incidence set.
|
| IncidenceSetRef |
An implementation that will lazily query for the incidence set
of an atom.
|
| ReadyRef<T> |
An implementation of
LazyRef that simply encapsulates
an existing value. |
| Enum | Description |
|---|---|
| HGRandomAccessResult.GotoResult |
Enumerates the possible results of a call to the
goTo in a
HGRandomAccessResult . |
| Exception | Description |
|---|---|
| HGEMissingData | |
| HGException |
A
HGException is thrown by HyperGraph code anywhere an abnormal
situation, that cannot usually be handled in an obvious way besides
debugging, occurs. |
| HGRemoveRefusedException | |
| HGReplaceRefusedException |
This exception is thrown when an attempt to replace the value of an existing atom
failed.
|
This package is the main entry point to the HyperGraphDB API. Most of the core interfaces for search and manipulating HyperGraph atoms are defined here.
The main class is the HyperGraph
which represents a single HyperGraph
database. You will need to familiarize yourself with most of the methods of that
class in order to use HyperGraphDB effectively.
The full querying API can be found in the org.hypergraphdb.query
package. However
most of the functionality is conveniently exposed from the HGQuery.hg
class.
More involved graph-based algorithms can be found in the org.hypergraph.algorithms
package.


Gateway
BOT
03-Nov-18 01:20 PM
[dscrd-cz] <Mike_O.> Managed to get the clue then rack my brain for two hours yesterday no with no real further results. Lol
Qr code repair was quick and easy. Binary decoding not so much... No need for both.
Glad to see people in the same spot!
[dscrd-cz] <Mike_O.> @SadykovT. I think just.... PIRATE
[dscrd-cz] <SadykovT> then I have a error in another word, the pirate I tried
[dscrd-cz] <SadykovT> James ?
[dscrd-cz] <Steve10> This is driving me nuts lol
[dscrd-cz] <SadykovT> with McDonald's clown is not clear, there can be a lot of words
[dscrd-cz] <Oszy> i know where that picture is from but that word wouldn't make sense
[dscrd-cz] <Oszy> i assume it's just a clown
[dscrd-cz] <Steve10> @SadykovT I see it as only 1 possible part of the kmd ecosystem
[dscrd-cz] <regtable> Ok so how do I give answer to the map thing? I don't have a Twitter I can use....
[dscrd-cz] <Oszy> you dont give the answer
[dscrd-cz] <Oszy> you use the answer
[dscrd-cz] <Oszy> hint
[dscrd-cz] <Steve10> Just type it here lol
[dscrd-cz] <regtable> Ahhhhhhhhh
[dscrd-cz] <Oszy>
[dscrd-cz] <regtable> Hahahahaha hahaaaaaaaaa it's planted
[dscrd-cz] <regtable> Let it grow
[dscrd-cz] <regtable> Does letter case apply?
[dscrd-cz] <regtable> Moon Moon MOoN
[dscrd-cz] <Oszy> probably not
[dscrd-cz] <Oszy> that'd be nuts
[dscrd-cz] <regtable> And numerals for 0 o
[dscrd-cz] <Steve10> We're hoping all lower case
[dscrd-cz] <regtable> Yeah
[dscrd-cz] <regtable> Cool. Is this in the agama I use it?
[dscrd-cz] <PTYX> Yes you can use the seed in Agama.
[dscrd-cz] <PTYX> No capital letters either. All lower case as in with most seeds.
[dscrd-cz] <regtable> cool cool. once i have it i must send it away somewhere safe correct?
[dscrd-cz] <regtable> its not too hard.
[dscrd-cz] <regtable> the mcds pervert one threw me though
[dscrd-cz] <regtable> now to sync the chain see if i won
[dscrd-cz] <Steve10> @regtable then you should have your winnings by now and you can tell us what it is.
[dscrd-cz] <regtable> im loading agama up now
[dscrd-cz] <Oszy> you dont have to sync enter lite mode
[dscrd-cz] <regtable> havent used it in so long
[dscrd-cz] <regtable> ooo
[dscrd-cz] <Oszy> wonder if i have to use coin name or tickers
[dscrd-cz] <regtable> komodo? chainzilla pirate which one...
[dscrd-cz] <Oszy> KMD
[dscrd-cz] <PTYX> If you solve it, send the coins to your address immediately
[dscrd-cz] <regtable> how do you get the extra bouty that was added load in oirate too?
[dscrd-cz] <regtable> wow i suck today
[dscrd-cz] <regtable> 100 kmd and 1000 pirate was it not?
[dscrd-cz] <PTYX> You can activate multiple wallets with one seed.
[dscrd-cz] <regtable> yei know
[dscrd-cz] <PTYX> 5000 Chainzilla, 100 KMD, and 1000 ARRR
[dscrd-cz] <Steve10> Think I have the first 7 but the order of the last 4 definitely getting me
[dscrd-cz] <regtable> order is in order.
[dscrd-cz] <regtable> it was not what i thought but...... kmd ship or komodo and pirate
[dscrd-cz] <Oszy> also wasn't the 150 i already tried
[dscrd-cz] <regtable> i know mcdonalds is plural so not valid
[dscrd-cz] <SadykovT> no one wants to share the words they found ? :-)))
[dscrd-cz] <regtable> moon
[dscrd-cz] <regtable> or maybe crater
[dscrd-cz] <regtable> or maybe the name of said crater
[dscrd-cz] <SadykovT> :-)))
[dscrd-cz] <Oszy> i dont think its overcomplicated
[dscrd-cz] <regtable> so i got moon pivx hamburgler patch egg mountain compas people gallion picasso business
(edited)
[dscrd-cz] <Oszy> what
[dscrd-cz] <regtable> yes
[dscrd-cz] <regtable> what indeed # confuscious
[dscrd-cz] <regtable> obsfucate and obliterate
[dscrd-cz] <regtable> but is it bogdanoff or bizonachi
[dscrd-cz] <regtable> #meme life
[dscrd-cz] <Oszy> you got me worried when you said you figured out. now i am not worried anymore.
[dscrd-cz] <Oszy>
[dscrd-cz] <regtable> those are way off whack words u really thing id say the real ones?
[dscrd-cz] <regtable> i mean moon is right. maybe its not mcdonald but penis (she is pointing at it)
[dscrd-cz] <Oszy> or balls
[dscrd-cz] <regtable> true
[dscrd-cz] <regtable> then theres only 2 i dont get might be other things but idk.
[dscrd-cz] <regtable> im sure the last one is tradesatoshi
[dscrd-cz] <regtable>
[dscrd-cz] <SadykovT> or threesome
[dscrd-cz] <Oszy> or bitch
[dscrd-cz] <regtable> 4 some can u even count?
[dscrd-cz] <regtable> always include yourself
[dscrd-cz] <Oszy> i hope ptyx laughing his ass off now
[dscrd-cz] <regtable> what coz of these elaborate words he never thought we would make up
[dscrd-cz] <regtable> feck... spaces or no spaces is another variable!
[dscrd-cz] <regtable> ok its defo not bogdanoff
[dscrd-cz] <regtable> google search brings that image up as a meme name
[dscrd-cz] <Oszy> scroll up it's already been linked :p
[dscrd-cz] <Oszy> it's a meme
[dscrd-cz] <sgt-pot-smoker> ive lost count of how many tries i done now XD
[dscrd-cz] <regtable> Biz
[dscrd-cz] <regtable> He bought
[dscrd-cz] <regtable> Oh are we all saving the addresses in wallet. Maybe the wrong ones will contain cash eventually


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{% extends "otree_redwood/Page.html" %}
{% load staticfiles otree_tags %}
{% block title %}
Your Choice
{% endblock %}
{% block scripts %}
{% endblock %}
{% block content %}
You have been randomly paired with two participants.
You have {{tiempo}} seconds to decide whether you want to invest.
If no member of your group invests, then you will each make {{nadie}}.
If a member of your group invests, then that member will earn {{voluntario}}, and the other two group members will make {{alguien}} each.
{% with config=subsession.config %}
{% endwith %}
{% next_button %}
{% endblock %}


|
Scientific Fortran Tools (SciFT)
1.2
|
This class use the List template declared into List.h90 file, please take a look to this file for details. More...
Public Member Functions | |
| generic | init => fromGrid3D, fromArrays, fromGrid3DArray, fromFunction, fromFile |
| procedure | fromgrid3d |
| procedure | fromarrays |
| procedure | fromgrid3darray |
| procedure | fromfunction |
| procedure | fromfile |
| generic | assignment => copyNFunction3D |
| generic | copy => copyNFunction3D |
| procedure | copynfunction3d |
| procedure | copyfarray |
| final | destroynfunction3d |
| procedure | addition |
| procedure | subtraction |
| procedure | multiplication |
| procedure | division |
| procedure | exponentiation |
| procedure | additionfc |
| procedure | subtractionfc |
| procedure | multiplicationfc |
| procedure | divisionfc |
| procedure | exponentiationfc |
| generic | operator => addition, additionFC |
| generic | operator => subtraction, subtractionFC |
| generic | operator => multiplication, multiplicationFC |
| generic | operator => division, divisionFC |
| generic | operator => exponentiation, exponentiationFC |
| procedure | str |
| procedure | show |
| procedure | saven3df |
| procedure | savecube |
| procedure | saveblks |
| procedure | saveprojection1d |
| procedure | saveprojection2d |
| procedure | load => fromFile |
| procedure | checktypen3df |
| procedure | loadn3df |
| procedure | loadcube |
| procedure | loadblks |
| procedure | set |
| procedure | at |
| procedure | x |
| procedure | y |
| procedure | z |
| generic | min => minInCoord, minVec |
| procedure | minincoord |
| procedure | minvec |
| generic | max => maxInCoord, maxVec |
| procedure | maxincoord |
| procedure | maxvec |
| generic | stepsize => stepSizeInCoord, stepSizeVec |
| procedure | stepsizeincoord |
| procedure | stepsizevec |
| procedure | isequallyspaced |
| procedure | checkequallyspaced |
| generic | size => ssize |
| generic | npoints => ssize |
| procedure | ssize |
| procedure | normalize |
| procedure | norm |
| generic | expectationvalue => expectationValueFromNFunction, expectationValueFromRArray, expectationValueFromCArray |
| procedure | expectationvaluefromnfunction |
| procedure | expectationvaluefromrarray |
| procedure | expectationvaluefromcarray |
| procedure | interpolate |
| generic | evaluate => evaluateXYZ, evaluateCoord |
| procedure | evaluatexyz |
| procedure | evaluatecoord |
| procedure | resize |
| procedure | checkbox |
| generic | innerproduct => innerProductWithNFunction3D, innerProductWithRArray, innerProductWithCArray |
| procedure | innerproductwithnfunction3d |
| procedure | innerproductwithrarray |
| procedure | innerproductwithcarray |
| procedure | conjugate |
| procedure | absolutesquare |
| procedure | reducedfunction |
| procedure | fromrnfunction3d |
Public Attributes | |
| type(grid3d) | xyzgrid |
| complex(8), dimension(:,:,:), allocatable | farray |
This class use the List template declared into List.h90 file, please take a look to this file for details.
Definition at line 87 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::absolutesquare | ( | ) |
Definition at line 181 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::addition | ( | ) |
Definition at line 105 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::additionfc | ( | ) |
Definition at line 111 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::assignment | ( | ) |
Definition at line 99 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::at | ( | ) |
Definition at line 140 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::checkbox | ( | ) |
Definition at line 175 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::checkequallyspaced | ( | ) |
Definition at line 155 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::checktypen3df | ( | ) |
Definition at line 132 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::conjugate | ( | ) |
Definition at line 180 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::copy | ( | ) |
Definition at line 100 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::copyfarray | ( | ) |
Definition at line 102 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::copynfunction3d | ( | ) |
Definition at line 101 of file CNFunction3D.f90.
|
final |
Definition at line 103 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::division | ( | ) |
Definition at line 108 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::divisionfc | ( | ) |
Definition at line 114 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::evaluate | ( | ) |
Definition at line 169 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::evaluatecoord | ( | ) |
Definition at line 171 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::evaluatexyz | ( | ) |
Definition at line 170 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::expectationvalue | ( | ) |
Definition at line 163 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::expectationvaluefromcarray | ( | ) |
Definition at line 166 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::expectationvaluefromnfunction | ( | ) |
Definition at line 164 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::expectationvaluefromrarray | ( | ) |
Definition at line 165 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::exponentiation | ( | ) |
Definition at line 109 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::exponentiationfc | ( | ) |
Definition at line 115 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::fromarrays | ( | ) |
Definition at line 94 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::fromfile | ( | ) |
Definition at line 97 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::fromfunction | ( | ) |
Definition at line 96 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::fromgrid3d | ( | ) |
Definition at line 93 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::fromgrid3darray | ( | ) |
Definition at line 95 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::fromrnfunction3d | ( | ) |
Definition at line 184 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::init | ( | ) |
Definition at line 92 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::innerproduct | ( | ) |
Definition at line 176 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::innerproductwithcarray | ( | ) |
Definition at line 179 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::innerproductwithnfunction3d | ( | ) |
Definition at line 177 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::innerproductwithrarray | ( | ) |
Definition at line 178 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::interpolate | ( | ) |
Definition at line 168 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::isequallyspaced | ( | ) |
Definition at line 154 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::load | ( | ) |
Definition at line 131 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::loadblks | ( | ) |
Definition at line 135 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::loadcube | ( | ) |
Definition at line 134 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::loadn3df | ( | ) |
Definition at line 133 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::max | ( | ) |
Definition at line 148 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::maxincoord | ( | ) |
Definition at line 149 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::maxvec | ( | ) |
Definition at line 150 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::min | ( | ) |
Definition at line 145 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::minincoord | ( | ) |
Definition at line 146 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::minvec | ( | ) |
Definition at line 147 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::multiplication | ( | ) |
Definition at line 107 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::multiplicationfc | ( | ) |
Definition at line 113 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::norm | ( | ) |
Definition at line 161 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::normalize | ( | ) |
Definition at line 160 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::npoints | ( | ) |
Definition at line 158 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::operator | ( | ) |
Definition at line 117 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::operator | ( | ) |
Definition at line 118 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::operator | ( | ) |
Definition at line 119 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::operator | ( | ) |
Definition at line 120 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::operator | ( | ) |
Definition at line 121 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::reducedfunction | ( | ) |
Definition at line 182 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::resize | ( | ) |
Definition at line 173 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::saveblks | ( | ) |
Definition at line 128 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::savecube | ( | ) |
Definition at line 127 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::saven3df | ( | ) |
Definition at line 126 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::saveprojection1d | ( | ) |
Definition at line 129 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::saveprojection2d | ( | ) |
Definition at line 130 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::set | ( | ) |
Definition at line 139 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::show | ( | ) |
Definition at line 124 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::size | ( | ) |
Definition at line 157 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::ssize | ( | ) |
Definition at line 159 of file CNFunction3D.f90.
| generic cnfunction3d::cnfunction3d::stepsize | ( | ) |
Definition at line 151 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::stepsizeincoord | ( | ) |
Definition at line 152 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::stepsizevec | ( | ) |
Definition at line 153 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::str | ( | ) |
Definition at line 123 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::subtraction | ( | ) |
Definition at line 106 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::subtractionfc | ( | ) |
Definition at line 112 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::x | ( | ) |
Definition at line 142 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::y | ( | ) |
Definition at line 143 of file CNFunction3D.f90.
| procedure cnfunction3d::cnfunction3d::z | ( | ) |
Definition at line 144 of file CNFunction3D.f90.
| complex(8), dimension(:,:,:), allocatable cnfunction3d::cnfunction3d::farray |
Definition at line 89 of file CNFunction3D.f90.
| type(grid3d) cnfunction3d::cnfunction3d::xyzgrid |
Definition at line 88 of file CNFunction3D.f90.