ocs | A one click setup | Continuous Backup library

The anchors ^ and $ anchors the match to the start and end of the input.

In your case you would like to match the start and end of a line within the input string. To do this you'll need to change the behavior of these anchors. This can be done by using the multi line flag.

Either by specifying it as an argument to Pattern.compile:

Unfortunately in newer versions of make, load is a special word and make fails when load is used as a target. This is quite bad, actually, as it violates POSIX etc. There's a Savannah bug open about this. You can work around the issue by using a variable instead:

You are trying to override the image CMD/ARG with the 161/my-app command (which seems not to be valid).

You should use:

Figured this out on my own with some experimentation. WildFly documentation on bootable jars is still really minimal and lacking lots of detail that required lots of guessing / experimenting.

While there is an overlay that lets you specify DB info via environment variables, that's a bit hacky and doesn't allow you to define more than one datasource nor can you specify the JNDI name. Instead, I used a CLI script which gets fed into the jar builder plugin.

datasource.cli

Try this :) Or with Dio only use the headers below

Here is a test case where the occurs check doubles the time to execute a query. Take this code here, to compute a negation normal form. Since the (=)/2 is at the end of the rule, the visited compounds becomes quadratic:

The choice really depends on the application of design.

Regarding stop word removal and lemmatization: these operations in general removes some contents from the text, hence, it can remove the information. However, if it doesn't make an impact, then you can remove. (It is always best to try out both. In general the performance differences shouldn't be too much).

Lowercasing depends on the pre-trained model that you use (For example, in BERT, you have bert-base-uncased and bert-base-cased) and choice of application. One simple way to verify is, input a text into USE model, obtain it's sentence embeddings, then lowercase the same input text and obtain it's sentence embeddings. If they are same, that means your model is case insensitive. However, if it gives different embedding, then it's case sensitive. (By running the program provided here, it appears that USE is case-sensitive). The choice of lower-casing is again application dependent.

minishift is based on OpenShift 3, not the newer OpenShift 4.

Note: Minishift runs OpenShift 3.x clusters. Due to different installation methods, OpenShift 4.x clusters are not supported.

The client, oc you are using is a newer version.

See the list of the ones available here:

https://developers.google.com/drive/api/v3/ref-export-formats

I suspect you are trying to view a binary file (vnd.oasis.opendocument.text) as plain text, so maybe change your request to: