tm | timers and timeline | Date Time Utils library

You could first build a list of paths, then in the second loop parse the files.

If I understand correctly, you can't use pd.DataFrame.resample('5 min').mean() out-of-the-box because time_5m isn't at 'normal' positions past the hour (i.e. time_5m is at 2:30, 7:30, ..., 57:30 past the hour.) That is, time_5m is 2.5 minutes offset from the 'normal' positions past the hour (where the 'normal' positions are at 0, 5, 10, ..., 55 minutes past the hour).

Pandas version 1.1 introduced two new keyword arguments for resample(): origin and offset (here are the docs for DataFrame.resample)

So something like this should work:

Here I'm wondering about the line [in s_client]
New, TLSv1/SSLv3, Cipher is ECDHE-RSA-AES256-GCM-SHA384

You're apparently using OpenSSL 1.0.2, where that's a basically useless relic. Back in the days when OpenSSL supported SSLv2 (mostly until 2010, although almost no one used it much after 2000), the ciphersuite values used for SSLv3 and up (including all TLS, but before 2014 OpenSSL didn't implement higher than TLS1.0) were structured differently than those used for SSLv2, so it was important to qualify the ciphersuite by the 'universe' it existed in. It has almost nothing to do with the protocol version actually used, which appears later in the session-param decode:

Thanks Hernando - MSFT for helping me. The Accept button in the Licence agreemnet window can be clicked by moving back and forth the hand using W,A,S,D keys.

Previously i thought that i should click using a raycast pointer. It would be nice if i can click using raycast because the current approach is very difficult for any new users.

Additionally, sometimes mouse and keyboard inputs doesn't worked for me. This is because the 'Use Mouse' and 'Use Keyboard' check-boxes under the Simulation Panel is disabled. We have to ensure they are enabled for using mouse and keyboard for simulation inputs.

In Java 11, you can find out the flags that have been passed to the JVM and the "ergonomic" ones that have been set by the JVM by adding -XX:+PrintCommandLineFlags to the JVM options.

That should tell you if the container you are using is overriding the flags you have given.

Having said that, its is (IMO) unlikely that the container is what is overriding the parameters.

It is not unusual for a JVM to use more memory that the -Xmx option says. The explanation is that that option only controls the size of the Java heap. A JVM consumes a lot of memory that is not part of the Java heap; e.g. the executable and native libraries, the native heap, metaspace, off-heap memory allocations, stack frames, mapped files, and so on. Depending on your application, this could easily exceed 300MB.

Secondly, OOMEs are not necessarily caused by running out of heap space. Check what the "reason" string says.

Finally, this could be a difference in your app's memory utilization in a containerized environment versus when you run it locally.

I've completely revamped my answer based on your specification and Anil's answer below, which is much more widely applicable than what I originally had.

Your code seems odd - there are several calls to read_csv when I'd have epxected to see only one, e.g.:

in main:

Try this function -

This is a case where knowing the value of return objects in R is the key to obtaining the result you want. Specifically, you need to know what stopwords() returns, as well as what it is expected as its first argument.

stopwords(language = "sp") returns a character vector of Spanish stopwords, using the default source = "snowball" list. (See ?stopwords for full details.)

So if you want to remove the default Spanish list plus your own words, you concatenate the returned character vector with additional elements. This is what you have done in creating all_stops.

So to remove all_stops -- and here, using the quanteda v3 suggested usage -- you simply do the following: