mdp | specify simple MDPs that are compatible with the OpenAI Gym | Reinforcement Learning library

One option to prevent the fill colors to be removed when setting the breaks would be to make use of a named vector which assigns colors to category names:

What I understand after reading your description, you need to declare all of the variables as global otherwise you need to access those variables inside of the function. A function variable can not be accessible from outside of the function. As per my understanding from your description, your code will be like this:

First of all, there is probably no need for pandas here, since you only need to open the csv file and parse its contents. Using the built-in csv module should be enough.

You can read the file like this:

This answer essentially is a more detailed version of the comments, essentially finding that what you want to do is not possible.

You ask for a way to

Certify Document when Approval Signature exist

According to the current PDF specification:

Thus, you cannot validly add a certification signature to a PDF which already has approval signatures.

(This does not automatically mean that all validators will detect the issue if you add a certification signature after approval signatures, let alone correctly display the cause. Many validators only do a subset of the checks that strictly speaking are necessary...)

More question if the certification signature come first then next is approval like 3 signature approval, can the last the certification setMDPPermission with 1 ? so at the end the document can't add more approval signature

setMDPPermission adds a DocMDP transform to the signature, and such a transform makes the signature a certification signature. Thus, using this method when signing a document that already has an approval signature, will create an invalid PDF or fail entirely.

You can lock a PDF document with an approval signature, though, if you add a Lock dictionary to the signature field with a P entry of 1. Beware, though, this is a ISO 32000-2 feature originally introduced as a feature of an Adobe Extension to ISO 32000-1. Not all PDF viewers support ISO 32000-2 yet, so some viewers may not respect this entry.

A contour plot is a nice way to show the optimal solution and all possible feasible solutions. Below is an example contour plot for the Tubular Column Design Optimization problem.

In your example, the gem would be loaded via HTTPS, because the Gemfile of a dependency will not be loaded at all. From dependencies, only the gemspec file is evaluated by Bundler. The gem's Gemfile is only used during the development of that gem. Interesting read in this context: How bundler priorities sources.

The following for the interested reader why it is important to use HTTPS when downloading gems:

When you load a gem from a non-HTTPS source and there is a man-in-the-middle attacker then this attacker would be able to send you back anything instead of the gem you requested.

Of course, there are man ifs and whens. But let's imagine you are going to download a gem on a non-secure communication channel like pure HTTP. And let's imagine there is a man-in-the-middle attacker that is able to sniff your traffic. This might be possible when using the same WiFi in a café or hotel, or when there are different customers on virtual servers in a data center or they have physical access to your landline.

Because they can read your unencrypted request for a gem then know what gems you are using. Now imagine that they do not just sniff your traffic but instead manipulate the response from the servers to you too. When you, for example, request a new version of a popular gem to handle user authentication and authorization or payments they could send you back their version instead of the original version.

And their version could include some minor changes like:

• when loaded the gem could upload your Gemfile to the attacker which would give the attacker a great overview of your application.
• when loaded the gem could take all ENV variables and/or Rails.credentials and upload them to a server that is controlled by the attacker. This would certainly git the attacker all your application's passwords.
• because it changed the original gem dealing with user credentials the malicious gem would be able to track users or your admin credentials when they log in or update their credentials. Given that many users use the same email/password combination everywhere this would be a nightmare.
• if the gem can read ENV variables or Rails.credentials then that means that it could change them too. For example, to connect to another payment provider would mean your customer's payment would be redirected into a different account.
• And on top of that, the malicious gem could also replace itself with the original gem once it was loaded into memory. What would make it difficult to figure out that your server was attacked.

tl;dr When an attacker is able to do a man-in-the-middle attack then they can send you malicious versions of a gem. These malicious gems could do almost everything with your application you can imagine. Sure, attacks like this are not simple, but they are not super-hard neither.

The rule of thumb is: Always use HTTPS whenever possible (not just for downloading gem but for all network traffic).

Found a way to do it without unsafePerformIO the trick is to use a case statement which only uses the return function in the Nothing case. Here's the implementation:

We have to use switchToFrame which is generally used for iframe. Though there is no iframe for this webiste we use switchToFrame to change focus on frame.

Short answer:

Change your output vector to Float32 i.e. Float32[-.1, 0, .1].

Long answer:

Crux creates a Distribution over your network's output values, and at some point (policies.jl:298) samples a random value from it. It then converts this value to a Float32. Later (utils.jl:15) it does a findfirst to find the index of this value in the original output array (stored as objs within the distribution), but because the original array is still Float64, this fails and returns a nothing. Hence the error.

I believe this (converting the sampled value but not the objs array and/or not using approximate equality check i.e. findfirst(isapprox(x), d.objs)) to be a bug in the package, and would encourage you to raise this as an issue on Github.