certify | Automatic client and server certificate distribution | TLS library

I am configuring emqtt MQTT Broker with SSL/TLS certificates from Digicert. I had done the SSL configuration for the same broker some years back and it was fine. But when I configured the new broker installation with new certificates, I am getting "unknown CA" error.

This is the SSL settings:

Tl;dr: I would like a function that randomly returns a float (or optionally an ndarray of floats) in an interval following a probability distribution that resembles the sum of a "Gaussian" and a uniform distributions.

The function (or class) - let's say custom_distr() - should have as inputs (with default values already given):

• the lower and upper bounds of the interval: low=0.0, high=1.0
• the mean and standard deviation parameters of the "Gaussian": loc=0.5, scale=0.02
• the size of the output: size=None
• size can be an integer or a tuple of integers. If so, then loc and scale can either both simultaneously be scalars, or ndarrays whose shape corresponds to size.

The output is a scalar or an ndarray, depending on size.

The output has to be scaled to certify that the cumulative distribution is equal to 1 (I'm uncertain how to do this).

Note that I'm following numpy.random.Generator's naming convention from uniform and normal distributions as reference, but the nomenclature and the utilized packages does not really matter to me.

Since I couldn't find a way to "add" numpy.random.Generator's uniform and Gaussian distributions directly, I've tried using scipy.stats.rv_continuous subclassing, but I'm stuck at how to define the _rvs method, or the _ppf method to make it fast.

From what I've understood of rv_continuous class definition in Github, _rvs uses numpy's random.RandomState (which is out of date in comparison to random.Generator) to make the distributions. This seems to defeat the purpose of using scipy.stats.rv_continuous subclassing.

Another option would be to define _ppf, the percent-point function of my custom distribution, since according to rv_generic class definition in Github, the default function _rvs uses _ppf. But I'm having trouble defining this function by hand.

Following, there is a MWE, tested using low=0.0, high=1.0, loc=0.3 and scale=0.02. The names are different than the "The issue" section, because terminologies of terms are different between numpy and scipy.

I am trying to develop TypeScript classes to access data in a csv file. The original spreadsheet looks like this:

I took that and converted it into a CSV file and quickly parsed it like so:

I've done this but the modal won't open whatsoever

I am creating a PADES signature using pdfbox 3.0.0 RC, my code works using the example to create the digital signature. However, I am unable to see the signature level in Adobe Acrobat when I open the document with this tool although it is able to validate my signature.

I am not creating the VRI so I am guessing that this might be an issue but then if this is necessary to validate my signature I don't understand why the signature is displayed as valid?

Adobe Acrobat Signature:

My chrome extension was removed from google chrome store and I don't know why, I'm not using remote hosted code. I am using manifest V2

Does anyone can suggest why they removed my extension?

Time line (emails that I received from google):

18 November 2020:

Dear Developer,

Protecting users and their data is a fundamental aspect of the work we do on Chrome. Last year we announced a set of policies to protect users and their data by requiring that extensions request the narrowest possible permissions, and we required more extensions to post privacy policies and handle user data securely.

Today, we are announcing policy changes that build upon those protections by:

• Limiting what extension developers can do with the data they collect.
• Requiring developers to certify their data use practices.

Starting January 2021, each extension’s detail page in the Chrome Web Store will show the data collected by the extension, in clear and easy to understand language.

Data privacy policy update

We’re introducing an additional policy focused on limiting usage of user data collected through a Chrome extension. More specifically:

• Reiterating that the sale of user data is never allowed. Google does not sell user data and extension developers may not do this either.
• The use or transfer of user data should be for the primary benefit of the user and in accordance with the stated purpose of the extension.
• The use or transfer of user data cannot be used for creditworthiness or any form of lending qualification.

The Chrome Web Store will also help users understand an extension’s privacy practices directly on the Chrome Web store listing.

On each extension detail page, the data collected by the extension will be displayed in a standardized manner. Additionally, whether a developer has certified their compliance with the limited use policy will also be displayed.

Developer-provided privacy disclosures

To publish or update an extension, developers must provide data usage disclosures directly from the developer dashboard. These disclosures include:

• The nature of the data being collected from users.
• The developer’s certification that they comply with the new policy on limited use.

The content of the form is grouped by category to make it simpler for developers, and maps exactly to the disclosures that will be displayed to Chrome users. Most of this information should be consistent with the existing privacy policies that developers have provided to the Chrome Web Store.

Implementation timeline

Data disclosures collection will be made available to developers today and will be displayed on the Chrome Web Store listing starting January 18, 2021.

Starting in March 2021, the Chrome Web Store team will reach out to developers with a warning to complete the disclosure requirement. Inaction after 30 days of the warning will result in the suspension of affected items and the deactivation of the existing user base.

See the limited use policy FAQ and the corresponding blog post for additional detail. Thank you for your cooperation, and for your participation in the Chrome extension ecosystem!

• The Google Chrome Web Store team

5 February 2021:

"Dear Developer, Last year, we announced the rollout of Manifest V3 support for Chrome extensions alongside Chrome 88. These updates to the extension platform make the extension experience safer, more privacy-preserving, and more performant for Chrome users. One of the key changes for V3 extensions is the disallowing of remotely hosted code. Now that you can submit to the Chrome Web Store, we’ve updated our Developer Program Policies to reflect these new guidelines. Please refer to our Developer Program Policies for more details on these updates. Thank you for your cooperation and for your participation in the Chrome extension ecosystem!"

31 March 2021

"We regret to inform you that the item has been removed from the Chrome web store. Details are shown below."

"We did not receive an update from you regarding the Google Chrome item before the end of the warning period specified in our previous email. Because the item still does not meet our policy requirements mentioned in the previous email, it was removed from the Chrome web store. "

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I have a Hyperledger Fabric blockchain up and running with several channels.

What I do is certifying data, in my case, certifying that my customer use green energy.

How should I provide a visual proof for my user that data is coming from the blockchain? I need to materialize it visually. Like a button that will check a hash, or something like that. But I have no idea what should be checked.

Any idea ?

EDIT:

Here is the data related to a transaction ID that I get from hyperledger explorer

I have this file certify.command but I have no idea how to include it in pyinstaller -Fw --icon=AppIcon.icns Converter.py.

I want my app to run on my other macs and to use my app I need to run the Install Certificates.command file so my app can access HTTPS. I don't want to install python on my other macs to run that file. That is why I want to include the file in my app so it can run the file on startup.

The Install Certificates.command is located in the python3.9 folder which requires the installation of python.

Can someone pls help?