orion | Asynchronous Distributed Hyperparameter Optimization | Machine Learning library

Tax information system contains all Tax information regarding every citizen in the city.

Following FIWARE principles, seems it might make sense Consumers query Orion about entity(citizen) tax information, and the request being forwarded to Context Provider (ie:TaxInformationSystem).

Query citizen X tax information -> Orion -> TaxInformationSystem_CP

According to documentation, Context Providers can register themselves as source for specific attributes. This, for example, could make this work:

http://{{orion}}/v2/entities/urn:citizenID/attrs/name/tax

However, this seems to require every citizen to be registered as an entity, so tax information system should register multiple times (one per citizen). (And residenceInformationSystem, and healthInformationSystem, and...)

Moving forward from here, I don't know What's the expected way/best practice to handle yearly KPIs to/from Orion?.

Consider the following scenario:

I am sending this to Orion:

I'm trying to register a Context Provider as source for several KPIs.

So far, it seems registering might be working, as GET http://{{orion}}/v2/registrations returns something similar to what I set in creation:

i've been doing an assignment for a self study in R programming. I have a question about what happens with factors in a dataframe once you filter it. I have a dataframe that has the columns (movie)Studio and Genre. For the assignment i need to filter it. I succeeded in this, but when i check the levels of the newly filtered columns all factors are still present, so not only the filtered ones.

Why is this? Am i doing something wrong?

Background:

I have an old Seagate BlackArmor NAS 110 that I'm trying to install Debian on by following the instructions here: https://github.com/hn/seagate-blackarmor-nas.

I have a couple of USB to TTL serial adapters (one FTDI chipset and the other Prolific) that I've tried and have run into the same issue with both. I have made the connection to the serial port on the board of the NAS using a multimeter to make sure I've gotten the pinout correct.

Problem:

I'm not able to stop the autoboot process by pressing keys and any point during the boot process. The device also does not seem to respond to any keystrokes although they are echoed back.

What I've Tried So Far:

• Using USB to TTL serial adapters with two different chipsets
• Using the adapters on two different computers (MacBook Pro and a ThinkPad)
• Using different operating systems (MacOS, Windows 10, Ubuntu 20.04)
• Using different terminal programs (Screen, Minicom, Putty)
• Turned off hardware and software flow control
• Tested output of adapters by shorting RX and TX pins and seeing keystrokes echoed back
• Commands seem to be sent to device as when I type I see my commands echoed back (not sure if this is supposed to happen)

I've been at this for a few days and can't figure it out. I've also recorded my screen while experiencing the issue: https://streamable.com/xl43br. Can anyone see where I'm going wrong?

Terminal output while experiencing the problem:

So I have this code where I will put 12 boxes inside a div in a row but 1 box can't fit inside.

I've created a random database of 100 soccer players, with randomly generated names, positions, and ability (1-5). I want to append the list so that it reviews the ability of each player and assigns a value (20-100) based on their ability. 1 ability = 20 value. 2=40, 3=60, 4=80, and 5=100. In excel, for example, I would do a vlookup to the ability (1-5) and apply the value based upon the ability number. How would I go about doing this in a Python list? Thanks