ov | rich terminal-based text viewer | Command Line Interface library

If it's not the bandwidth that limits you (but I cannot check this), there is a solution less complicated than the celery and rabbitmq but it is not as scalable as the celery and rabbitmq, it will be limited by your number of CPU.

Instead of splitting calls on celery workers, you split them on multiple processes.

I modified the fetch function like this:

Finally I get it to work as below, may it help someone else. Any nice suggestion or better solution will be appreciated..

1. Create a global var tinyEditor; in the script.

2. Initiate it at the begin of setup function: tinyEditor = editor;

3. Create the reference to this editor in javaFx

You should use pandas regex capabilities (with str.replace):

I also opened an issue in GitHub and I got a reply:

Unfortunately, I suspect you're just running into an issue of bad UX on our side. In order to save back to GitHub you always have to use "Save a copy in GitHub". Colab doesn't yet support auto-save or Ctrl+S saving back to GitHub because it requires making a commit back to the repo but it's a bit misleading that the intended save flow looks like it's making another copy. So, work-around is "Save a copy in GitHub" -- hopefully that works for you for now.

Reference

GitHub issue: Colab can't save changes to GitHub public and private reports #2518

I have replied and asked if this is already a feature they have in mind and if not if we can make it a feature request.

I guess we can hope that this gets implemented soon and in the mean time we can use the suggested workaround "Save a copy in GitHub".

I also hope this serves as information to anybody that stubmles on the same pitfall as myself.

How do I create an Organization Validated (OV) or Extended Validated (EV) SSL certificates on Google Cloud Platform

Google Cloud does not sell OV or EV certificates. If you require a validated certificate, you must purchase one from a certificate authority such as Comodo. You are then responsible for installing, rotating, renewing, monitoring, etc.

Google Cloud does provide managed SSL certificates. These certificates are Domain Validated (DV) only. These certificates are managed but Google and are automatically renewed. SSL expiration reporting is still your responsibility.

Self-managed and Google-managed SSL certificates

Auto-rotate the certificate?

Google Cloud does not provide tools to auto-rotate self-installed SSL certificates. Some certificate authorities provide management tools. Factor that into your vendor selection.

Get a notification before the certificate expires?

Google Cloud does not offer an SSL certificate monitoring service. There are a number of third parties that do. Writing your own SSL monitor is also easy to do.

12 Tools to Monitor SSL Certificate Expiry from Cloud and Scripts

I think the main reason is a confusion between all involved protocols.

(1) Ping is done using ICMP, in particular ICMP echo request and ICMP echo reply messages. These messages are encapsulated in IP packets, which are in turn encapsulated in it Ethernet packets. In this case Ethernet next header field (i think it is actually called ethertype in general and dl_type here) is set to IP, which is 0x0800.

A more in-depth guide on how to read ICMP packets in wireshark can be found here.

(2) ARP is necessary for end-systems to match IP addresses to MAC addresses. ARP is encapsulated directly into Ethernet frames, where ethernet next header is set to value 0x806

Thus

The code signing certificate needs to include all certificates in the certificate path.

Try to export the original certificate in the certmgr (including private key!) with the option

• "Include all certificates in the certificate path if possible"

enabled and then import it again into your personal certificates.

As you already showed in your link, it can be done in Excel by setting the following registry keys before signing the file:

The paper to read regarding these operations is https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/z3prefix.pdf

Note that the operations are "reversed." Z3_mk_bvsub_no_overflow will be true if there is no overflow. And similarly for underflow. This double-negation is unfortunate, but that's how the operations are defined.

How these relate to the CPU's OV/CY flags is an interesting question. I think it's best to consider the results of z3 (as explained in the above paper) as mathematical semantics. In z3 parlance, overflow exists when the infinitely precise result lies to the right of the range-covered by the bit-vector size, and underflow exists when it lies to the left.

Your particular architecture (x86 most likely, but not necessarily!), however, might have different rules on how these flags are produced. In particular CPU's do not care (or know) whether the arguments are signed or unsigned. The magic of 2's complement arithmetic allows them to treat the arguments uniformly, and thus there's no direct correspondence with the typed-analysis z3 performs. Here is the description from the x86 manual:

The SUB instruction does not distinguish between signed or unsigned operands. Instead, the processor evaluates the result for both data types and sets the OF and CF flags to indicate a borrow in the signed or unsigned result, respectively. The SF flag indicates the sign of the signed result.

Long story short, you'll have to be very specific about whether you're doing signed/unsigned arithmetic, and look at the precise x86 (or whatever architecture you're on, but I presume they must all be similar), and see what the actual correspondence might be. Keep in mind that the correspondence may not be precise. For legacy/historical reasons, x86 does things in its own idiosyncratic ways, which may not perfectly match the mathematical results that z3 produces based on the above paper.

You can modify the source code of the two required functions from the survminer package (ggcompetingrisks.cuminc() & ggcompetingrisks()), e.g.