Example of ad hoc thread confinement in Java
Thread Confinement
Weird $3^n$ in an identity to be combinatorially proved How to I stop a launchd script from running on wake I have a simple launchd script that plays a sound every 30 minutes and it runs out of the user library ~/Library . It doesn't run if my machine is asleep, but does run the last event missed when the machine wakes. I think this is the expected behavior. My question is, how do I stop this happening. If I missed the half-hour event, I don't want it to be run at 20 minutes past the hour.  Here's the core of my script. It calls a Python script. I tried to put a block in the python script to check that I am within a few minutes of each 30 minutes, but that doesn't seem to work on wake. (Is it missing the system clock somehow?)  &lt;key&gt;ProgramArguments&lt;/key&gt; &lt;array&gt;     &lt;string&gt;/usr/local/bin/python3&lt;/string&gt;     &lt;string&gt;/Users/pheon/Documents/playsound.py&lt;/string&gt; &lt;/array&gt;  &lt;key&gt;StartCalendarInterval&lt;/key&gt; &lt;array&gt;     &lt;dict&gt;         &lt;key&gt;Minute&lt;/key&gt;         &lt;integer&gt;0&lt;/integer&gt;     &lt;dict&gt;         &lt;key&gt;Minute&lt;/key&gt;         &lt;integer&gt;30&lt;/integer&gt;     &lt;/dict&gt; &lt;/array&gt;   Here is a snippet from the python code which checks the time before playing the sound.  time0 = datetime.datetime.now() if (time0.minute % 30) &lt; 2:     subprocess.run(["/Users/pheon/bin/afplay-vol.sh", "1", bell],check=True) Which Standard Visitor visa should I apply for? Finding $\int^{\infty}_{0}\frac{\ln^2(x)}{(1-x^2)^2} dx$ I have a very large dataset and about 5% random values are missing. These variables are correlated with each other. The following example R dataset is just a toy example with dummy correlated data.  set.seed(123)  # matrix of X variable  xmat &lt;- matrix(sample(-1:1, 2000000, replace = TRUE), ncol = 10000) colnames(xmat) &lt;- paste ("M", 1:10000, sep ="") rownames(xmat) &lt;- paste("sample", 1:200, sep = "") #M variables are correlated   N &lt;- 2000000*0.05 # 5% random missing values  inds &lt;- round ( runif(N, 1, length(xmat)) ) xmat[inds] &lt;- NA  &gt; xmat[1:10,1:10]          M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 sample1  -1 -1  1 NA  0 -1  1 -1  0  -1 sample2   1  1 -1  1  0  0  1 -1 -1   1 sample3   0  0  1 -1 -1 -1  0 -1 -1  -1 sample4   1  0  0 -1 -1  1  1  0  1   1 sample5  NA  0  0 -1 -1  1  0 NA  1  NA sample6  -1  1  0  1  1  0  1  1 -1  -1 sample7  NA  0  1 -1  0  1 -1  0  1  NA sample8   1 -1 -1  1  0 -1 -1  1 -1   0 sample9   0 -1  0 -1  1 -1  1 NA  0   1 sample10  0 -1  1  0  1  0  0  1 NA   0   Is there a (best) way to impute missing values in this situation? Is the Random Forest algorithm helpful? Any working solution in R would be much appreciated.  Edits:  (1) Missing values are randomly distributed among the variables and samples.As number of variables is very large (here in the example - 10000), while the number of samples is small here in the above dummy example it is about 200. So when we look at any sample over all the variables (10000), there is high chances that there will be missing value at some variable - due to large number of variables. So just deleting the sample is not option.   (2) The variable can be treated both as quantitative or qualitative (binary) in the process of imputing. The only judgement is how well we can predict it (accuracy). So predictions like 0.98 instead of 1 might be acceptable rather 0 vs 1 or -1 vs 1. I might need to tradeoff between computing time and accuracy.   (3)  The issue I have thinking how overfitting can affect the results as the number of variables are large compared to number of samples.   (4) As the total quantity of missing values is about 5% and is random (not concentrated in any variables or samples as precaution was taken to remove the variables or samples that have very high missing values)   (5) Making data complete for analysis is first objective and accuracy is secondary. So not too sensitive to accuracy. Repeatedly taking differences on a polynomial yields the factorial of its degree? What is the use of a persistence layer in any application? To show: $(\mathbb{Q},+)$ is not isomorphic to $(\mathbb{R},+)$  Now, the equation $x^{2} =3$ has a solution in $\mathbb{R}$, but not in $\mathbb{Q}$.  Hence they are not isomorphic to each other.  Is that right, or do I need to prove something else?  Thanks. The SQL Server instance is accessible and seems to be fine.     Microsoft SQL Server 2016 (SP1-CU2) (KB4013106) - 13.0.4422.0 (X64)   Mar  6 2017 14:18:16   Copyright (c) Microsoft Corporation  Enterprise   Edition (64-bit) on Windows Server 2012 R2 Standard 6.3  (Build   9600: ) (Hypervisor)   But what does the white question mark mean?  these icons dont go away when I refresh. I am sysadmin inside sql server and outside I am administrator on that box.      Another thing I noticed, you can see on the picture below. These are 2 different Management Studio sessions.  On the top one, I am logged in as myself, DBA and sysadmin,  on the second one I use Management Studio with run as a different user and I use a domain account that I use for the replication, which is not sysadmin.  The second one has the blue icon in this and other servers as well, whilst mine is the normal green one. Apple Magic Trackpad multitouch configuration How to get the current branch name in Git? A projection operator $P$ is defined as $P^2$=$P$. Use this definition to find the eigenvalues of this operator.   In this question is it necessary to define what the projection operator is? And won't the eigenvalue just be zero? Is it possible to create matter? Is it possible to create matter? In a recent discussion I had, it was suggested that with enough energy in the future, "particles" could be created.   It seems like this shouldn't be possible due to conservation but perhaps I could be wrong. Would any of you Physics masters care to elaborate?  (Note... I will understand the basics, I am by no means an expert.) Not able to understand the meaning of question? car moving with a speed of 40 km / h can be stopped by applying brakes after at least 2 m. If the same car is moving with a speed of 80 km / h, what is the minimum stopping distance  Does this mean that after 2 m, You will apply brakes and then it stops. What is the retardation value  with which you are brakes.I am not understand the meaning of the values. Find the value of:$$\frac{\sqrt{45} + \sqrt{18}} {\sqrt{7+2\sqrt{10}}}$$      I need help solving this question. Every reply is appreciated.  Thanks! From :     Importantly, the DDH assumption does not hold in the multiplicative group $\mathbb {Z} _{p}^{*}$, where $p$ is prime. This is because given $g^{a}$ and $g^{b}$, one can efficiently compute the Legendre symbol of $g^{ab}$, giving a successful method to distinguish $g^{ab}$ from a random group element.   The only way I can think of to distinguish $g^c$ from $g^{ab}$ is:    If $\left(\frac{g}{p}\right)=-1$, then $\left(\frac{g^{ab}}{p}\right) = 1$ if and only if $a$ or $b$ is even (which is $3/4$ of the times). So if $\left(\frac{g^c}{p}\right) =-1$, probably $g^c\neq g^{ab}$. Nothing is certain.   How'd do you compute $\left(\frac{g^{ab}}{p}\right)$ given $g^a$ and $g^b$? Hydrostatic pressure - doesn't density vary with depth? Our class is learning about hydrostatic water pressure and we have been told that we can calculate the force of the liquid on an object at any depth using "the density x 9.8 x the depth". However, as the depth increases, wouldn't the density of the liquid increase because of the weight of the liquid above it compressing it? So should't there be something in the equation to account for the varying density? To me, "density x 9.8 x depth" seems like it is saying that the density will be constant... What's the difference between Google Chrome and/or Chromium? What are the advantages/disadvantages to each? I used Google Chrome in Windows, and am now using Chromium in Ubuntu.  Is there any difference to the two programs?  What are the advantages and disadvantages to each program?  Which one seems better? How to extract and install .deb without the command dpkg? I am running Debian jessie stable in order to understand how the .deb package interacts with the system. What is the correct way to extract and install a packge_name.deb without the command dpkg? Key Presses in Python