in-time | convert years , days , hours , minutes , seconds | Date Time Utils library
kandi X-RAY | in-time Summary
kandi X-RAY | in-time Summary
Helper to convert years, days, hours, minutes, seconds and milliseconds to smaller time units.
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Lines of Code : 7License : Permissive (Unlicense)
Copy$a = 2 * Years::IN_DAYS; // 730
$b = 2 * Weeks::IN_DAYS; // 14
$c = 2 * Days::IN_HOURS; // 48
$d = 2 * Hours::IN_MINUTES; // 120
$e = 3 * Minutes::IN_SECONDS; // 180
$f = 2 * Seconds::IN_MILLISECONDS; // 2000
$g = 2 * Seconds::IN_MICROSECONDS; // 200 composer require steffenbrand/in-time
License : No LicenseCopypublic static int findPoisonedDuration(int[] timeSeries, int duration) {
int free = 0, total = 0;
for (int time : timeSeries) {
free = Math.max(free, time);
int cur = time + duration;
total += (time Community Discussions
Trending Discussions on in-time
QUESTION
I had a question about whether I was understanding the time complexity of the len function in Python correctly. I've seen multiple posts on this topic here and here but I feel like the answers didn't explicitly answer another question I had.
As I understand it, the time complexity of calling the len function is O(1) because the length of the object (e.g. an array) is stored behind the scenes. However, the time complexity of calling a function that isn't stored behind the scenes (e.g. max or min) is O(n) because we would have to search the entire array.
I'm wondering then, would it be correct to also think of the time complexity of len to be O(n) (because it takes n number of constant operations to keep track of the length of the array as we add or delete values from the array) but is only O(1) because we keep track of the length behind the scenes?
Technically, we should be able to store other information such as max and min while we create the array and accessing this information would also be O(1) if we explicitly save these values.
ANSWER
Answered 2022-Mar-30 at 22:55We don't count the complexity of all the operations that increment and decrement the length field of the array, because they're not dependent on the current length of the array.
For instance, if you build up an array by appending and popping, you may have done far more than n iterations before you call len().
Furthermore, if you're calculating the complexity of the entire algorithm, you would have already accounted for the complexity of creating the array. You don't want to count it again when calculating the complexity of processing the array.
QUESTION
I'm running a version of the below reduced code in an App that allows the user to stratify the elements in a large data frame as of a single point-in-time. The user can choose which measure to use for time: Period_1 or Period_2, and which time period to select within each of those 2 time categories. The full App offers the user several more stratification variables, and in the renderTable section below there remain vestiges of this broader functionality.
The example produces the intended results, but it generates in the R console: "Warning: Error in seq.default: 'from' must be a finite number". (I get this same warning in both the below example and the full App this example derives from).
Other warnings ("Warning in min..., na.rm = TRUE) : no non-missing arguments to min; returning Inf") were popping up before I added the custom_min and custom_max functions below.
I don't want to suppress the warning, I'd rather have the code work correctly. Any clues how to address?
...ANSWER
Answered 2022-Feb-07 at 10:21This happen because your function custom_min(stratData_1()[[4]]) can return non-finite numbers, namely Inf, when length(x) > 0.
You can change your code to something like :
QUESTION
ANSWER
Answered 2022-Feb-02 at 09:51Feature selection via variance threshold.
Variance is a great statistic to use if you want information on the variability
Edit:
I think a cleaner solution would be to simply use DataFrame.var() and filter based on that.
QUESTION
When working with data all roads for me lead to "stratification tables" so one can get a feel for the dispersion of the data. Visualization is both by numeric table and plot.
Can someone please recommend a flexible way to generate a stratification table; by "flexible" I mean where the user can input stratification parameters? In the below code I present a sample data frame, and the ways I'd like the user to be eventually able to cut (stratify) the data.
I'm pretty new to R and have always run stratifications in Excel. In the image at the bottom you can see you how I normally stratify in Excel, with the end product highlighted in yellow. I also include a 2nd image that shows the formulas used to generate the stratification table in the first image.
I've been trying to limit the use of packages (other than shiny and the amazing dplyr, DT) but I imagine there are some nice packages too for running stratifications.
Note that my stratifications are run as of a specific point-in-time (in my data there 2 ways to measure time, via Period_1 and Period_2). So only those rows meeting that time criteria are included in the stratification.
Does anyone have suggestions for doing this?
Code:
...ANSWER
Answered 2022-Jan-26 at 14:52In the interest of making this a more generalizable effort, here's how I would do it. In the UI, you can upload a CSV file and it grabs the names of the variables to use from the names in the file. There is one caveat here - the grouping variables have to have "Period" in their names somewhere. Otherwise, from there, you can choose the values to be summed from a list of the names of variables. The point in time values are taken from the observed values of the stratifying variable. You can also choose to filter on single variable and the values you can filter on are taken from the observed values of the filtering variable. Here's what it looks like:
and here is the code:
QUESTION
I used a function in Python/Numpy to solve a problem in combinatorial game theory.
...ANSWER
Answered 2022-Jan-19 at 09:34The original code can be re-written in the following way:
QUESTION
I am having a hard time creating a SQLite command that will return an evenly spaced out data points based on time if the number of data points is beyond 50.
Basically, I am having data stored every 30 seconds. However, if I want to see the data in the last hour, that will be a very large amount of data and will end up freezing my RPI as it attempts to visualize this data. So, my solution is to create a SQLite command that will limit the number of return data points to 50 that are spread evenly across a time range.
I have separate commands for if I want last min, 5 mins, 10 mins, etc. Once it goes beyond 1 hour, I need to limit the data so I can hard code this into the command (no need for IF statements)
Here is my currently attempt at the command which is not working:
...ANSWER
Answered 2022-Jan-13 at 17:00You can use NTILE() window function to divide the resultset in 50 groups, based on the column Timestamp and then with aggregation pick 1 row from each group with MAX() or MIN() aggregate function:
QUESTION
I understand that when a type declares an explicit static constructor, the just-in-time (JIT) compiler adds a check to each static method and instance constructor of the type to make sure that the static constructor was previously called.
This behaviour I can imagine it as the following code (correct me please if I’m wrong with this conclusion):
...ANSWER
Answered 2021-Dec-26 at 08:47The cost of checking that the static constructor has been called in ExplicitConstructor is exaggerated as the JIT has failed to optimise the check in the benchmark method - as shown with the JITd assembly generated by the BenchmarkDotNet DisassemblyDiagnoser.
QUESTION
I am trying to stop a long running method after 10 seconds of execution, so far i followed the timer instructions on baeldung.
https://www.baeldung.com/java-stop-execution-after-certain-time#1-using-a-timer
When the method is a simple call to a thread sleep it works, but when I call my function with sub methods it doesn't stop.
My implementation looks like this:
...ANSWER
Answered 2021-Dec-21 at 03:21Compiler tells you the exception is never throw is beacuse your executeExperiment method is uninterruptable(Unlike some blocking methods, e.g. Object#wait), so thread.interrupt does not make the thread executing this method receive an InterruptedException.
Maybe you need to check whether the current thread has been interrupted every time you iterate files in your executeExperiment method, if it is, then throw an InterruptedException.(But this may still be inaccurate, because the executeCase method may be executed for a long time.)
QUESTION
Good afternoon everyone! :)
What is the problem. I have 4 plots and the challenge is to keep them scaling in sync (i.e. if you zoom in on 1 plot, then the rest of the plots are zoomed in as well, etc.).
Now all I have done is that I can zoom in on one particular graph ('graph1') and the rest are zoomed in with it. This is what it looks like.
...ANSWER
Answered 2021-Aug-05 at 12:00The problem has been resolved.
Unfortunately, I probably cannot show the final code because I will be running it in prod and it may be a trade secret.
But for those who faced a similar problem, I advise you to look at this section.
https://dash.plotly.com/sharing-data-between-callbacks
I wish you success!
QUESTION
So I have a pipeline with a task, where I check for the date through Powershell.
...ANSWER
Answered 2021-Dec-13 at 14:37If your env variable is TF_VAR_PITR, then the TF variable is called PITR:
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PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.
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