TRAM | TypescriptReactAsteroidMeteor project starter | Frontend Framework library

I created a map with osmWebWizard.py and that's working well in Sumo. When importing it in veins example and hit "Play/Start" on the simulation nothing happens until I also hit the Start button in Sumo-gui as well. If I never hit it in Sumo, QTenv is going to "Not respond" or crash. Why is this happening? Can it be changed manually?

Also obstacles are not being recognized as expected, although the *.poly.xml file exists and also I've built myself with polyconvert function. That's why I also tried GatcomSUMO but on my system is not working very well, I'm on Linux, while in the video Windows is being used and the process seems pretty straight forward. After a series of warnings I'm getting an error. Here is the log:

I have a bunch of names from the web (first name, last name, of people in different countries). Some of the countries have statistics on how many people have each last name, as shown in some places like here.

Well, that Japanese surname list only lists the top 100. I have other lists like for Vietnamese listing the top 20, and other lists the top 50 or 1000 even in some places. But I have real name lists that are up to the 1000+ count. So I might have 2000 Japanese surnames, with only 100 that have listed the actual count of people with that surname.

What I would like to do is built a "faker" sort of library, that generates realistic names based on these statistics. I know how to pick a random element from a weighted array in JavaScript, so once the "weights" (number of people with that name) are included for each name, it is just a matter of plugging it into that algorithm.

My question is, how can I "complete the curve" on the names that don't have a weight on them? That is, say we have an exponential-like curve sort of, from the 20 or 100 names that have weights on them. I would then like to randomly pick names from the remaining unweighted list, and give them a value that places them somewhat realistically in the remaining tail of the curve. How can that be done?

For example, here is a list of Vietnamese names with weights:

I have the folowing input CSV file:

I am trying to extract 4 tables from an input file. Here is an extract of said file with one of the four tables:

I'm a complete newcomer to python and trying to write code to open all of the links a list one at a time. I keep running into different errors no matter what I do to try to troubleshoot and am wondering if there's something wrong with my methodology.

This is my code:

I have a simple Python script named 'scriptNastran.py' that calls a shell through the subprocess function:

guys, I am trying to make filter by using id's of item. I have researched a lot, but I think I am missing something obvious. So as I said i need to make a filtration, I have API where two different models Transport and Marshes. Each clasess contains id of bus, tram, subway. For the bus id = 1, for tram = 2, for sunbway id = 3 and for each of these separate id's API contains the 3 separate list of bus' numbers, tram's numbers and subway's train numbers.

I create two models and two screen:

The models

I have a dataframe that contains a large number of reviews, a large list with noun words (1000) and another large list with verbs/adjectives (1000).

Example dataframe and lists:

I have a dataframe which contains reviews, as well as two lists, one which stores nouns and the other storing verbs/adjectives.

Example code: