mortimer | extendible HTTP REST interface for mongoose models | REST library

Is a program of a book: Author: Bjarne. The SECESC listing. cev uses escape sequences, stories like making sounds (beeps) in the terminal twice and then a continuation of two backspace blanks.

I have a javafx application where I have multiple tabs (timer, stopwatch, clock) each with a separate Controller, and the user is able to add and independently start multiple timers using a start/stop button.

I tried binding a TextField to a property of another class MyTimer which keeps track of the elapsed time, but it eventually (after running for a couple of seconds) starts throwing an error. (If you check the code below, note that it only happens if the "Thread.sleep" is set to 10ms - when i increase the delay to 100ms, it kept running for about a minute and did not crash - I did not test further, since I would like to solve the root cause instead of increasing the delay).

Just so you have a quick idea: app image

MyTimer class:

I was wondering whether or not it was possible to remove duplicate sentences or even duplicated blocks of texts, meaning a duplicate set of sentences from a dataframe in R. In my specific case, you could imagine I have saved the posts of a forum but have not highlighted when a person quoted a post that has been made before, and now want to remove all quotes from the different cells containing the different posts. Thanks for any tips or hints.

An example could look something like this:

I have a dataframe containing one name-variable in which there are different duplicate strings, then some numeric variables and one date variable. First off, I'm trying to find out whether I can create a new column that for all strings with same value, subtracts the lowest date from every other date and therefore has a numeric value (days). If that is possible, I want to correlate one of the numeric variables of choice with the new day-variable but, again, aggregated over the same string-value or "person". Regarding that, I wouldn't mind having the result of the correlation listed in every row of the string, since I'll aggregate over strings, later, anyway. I know this probably sounds really confusing, and I hope the little example I set up, which already contains the "correct" values, will help with understanding my problem.

I'm trying to subselect only those rows that contain a specific word in one column, namely a "text"-column that for every row contains a certain text. While I do know that str_subset from stringr-package will select those rows, however I want the full dataframe with all columns included. Any ideas on how I could achieve that? As for in my example, I could be looking for those rows that contain the word 'this', therefore I'd want an output that cuts out rows 1, 5 and 8. Thanks for any tips.

I've almost solved an exercise from my python lectures. I've been asked to write a program that counts how often each word occurs in a file, and how often it has been tagged with which POS. The counts should be written to a new file, which is also given on the command line.

For instance,

Database with the following structure:

I want to insert into a partitioned hive table from another hive table. The data is going in a single partition in the target table. The problem is all the reducers completing very fast but one of the reducers is taking a long time as all work is going to that single reducer.

I want to find a way to set a work equally distributed among all the reducers. Is there any way to do so? How can I improve the performance of the insert overwrite?

Source Table DDL :

I have a simple transformation I want to do to a document in my collection. I want to transform this: