charm | use tweening library for the Pixi 2D rendering engine | Graphics library

S3 buckets are region specific. When you create a new bucket you need to select the target region for that bucket.

For DR reasons, you can keep backups in another region. Should the primary region fail in a way that the entire region is affected, then you could restore in the backup region.

Your DR strategy will depend on your use case, and your needs for returning services back to normal in case of region wide failure.

For example, let's say you rely on ec2/ebs to operate your service and those services suffer region wide outage for 5 hours. In order to recover your service you would need to move to a region where the resources are available. Assuming you need S3 data for operational processing you would want to have that data ready in the Target recovery region.

This is controlled by the SQL mode. As described here, ERROR_FOR_DIVISION_BY_ZERO behaves as:

• If this mode is not enabled, division by zero inserts NULL and produces no warning.

• If this mode is enabled, division by zero inserts NULL and produces a warning.

• If this mode and strict mode are enabled, division by zero produces an error, unless IGNORE is given as well. For INSERT IGNORE and UPDATE IGNORE, division by zero inserts NULL and produces a warning.

You can see this behavior using a direct 1/0.

Ok so after a bit of even more digging I found an answer to a different question detailing how I could interact with the /v2/trades endpoint which actually does what I need it to do.

You can find more details here, just mind the fact that the endpoint for making the original order is /v2/trades instead of /v2/trade as specified there. Otherwise, his description is accurate and works as of today.

I should also mention that I did open a ticket to Coinbase before getting this solution and their response was that they are only providing support through their public documentation which is short for "you're an idiot, it's all written there".

Needless to say that the public API documentation does not mention the /v2/trades endpoint, instead it documents the /transaction endpoint which does not work for transfers as specified in the original question.

try calling this.inputData.markAsUntouched(); instead of setting errors to null after resetting your form. Moreover, instead of this.inputData.reset() try calling this.userForm.resetForm(). to make this accessible- declare form as NgForm like this:

I had the same issue while reproducing the problem reported at IntelliJ IDEA forums.

It didn't work with Tomcat 10 for the reasons described in the answer by Piotr P. Karwasz, but it works just fine with Tomcat 9.0.44 and earlier versions.

It's quite likely the IP addresses that you use and possibly your current network setup. If you run Flask locally, by default it will use 127.0.0.1 (localhost) and the application can only be reached from your own computer. Other hosts on the network cannot. So your intuition is correct, you need to run it on 0.0.0.0 so that the application becomes accessible on any interface, not just localhost but also the LAN IP address and WAN IP address (provided you have got one).

Now the remaining question is, is 10.104.2.114 is the correct address for your PC where the Flask application is running ? Assuming that you use DHCP, the IP address is subject to change. From what you are saying your ESP8266 is on the same network but I think the connection sharing applies some form of isolation between guests (possibly by VLAN). So, for that reason, the guests on that network may not be able to see each other and this is by design. It is normal for wifi hotspots to segregate traffic per client.

Putting all your devices on the same router/switch could work. Note that you can still use your home router/switch to connect devices, even if Internet access is out of service. This is something you could try, as long as your hardware is in good condition.

You should be able to fix this problem by passing a copy of newUserObject into MongoDB, like this:

I followed @Yksisarvinen advice and reorder the code and now it works flawless:

With the help of a member from another forum (https://community.rstudio.com/t/out-of-memory-on-r-using-linux-but-not-on-windows/106549), I found the solution. The crash was a result of memory limitation in the swap partition, as speculated earlier. I increased my swap from 2 Gb to 16 Gb and now R/RStudio is able to complete the whole script. It is a quite demanding task since all of my physical memory is exhausted and nearly 15 Gb of the swap is eaten.