q3 | Quake 3 like game with voxelized , destructible maps | Game Engine library
kandi X-RAY | q3 Summary
kandi X-RAY | q3 Summary
Q³ is a project using Mozilla’s Rust language and OpenGL to create a Quake 3 like game that takes Quake 3 and QuakeLive maps, voxelizes them, and allows groups of players to blow the shit out of everything in a fast-paced Quake-esque first person shooter with 100% destructible environments.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of q3
q3 Key Features
q3 Examples and Code Snippets
Community Discussions
Trending Discussions on q3
QUESTION
I'm creating an int (32 bit) vector with 1024 * 1024 * 1024 elements like so:
...ANSWER
Answered 2021-Jun-14 at 17:01Here are some techniques.
Loop UnrollingQUESTION
ANSWER
Answered 2021-Jun-14 at 16:06You are close. Outside of your for year in years
keep a dictionary that stores the running results of yearly counts:
QUESTION
So I had to include this part in one of our class projects. We were asked to create a quiz webpage with radios and checkboxes, and then to write a JavaScript function to validate the radios. Now, I know that these radios can be verified easily by individuals for loops for each group, but that doesn't sound practical when I have a large number of these groups in my code. So I tried the following code:-
...ANSWER
Answered 2021-Jun-14 at 04:49- You never set
check
to true anywhere, so it is always false. radiob[i]
is an array (or, more precisely, a NodeList), soradiob[i].checked
is always undefined.- Arrays in JavaScript start indexing at 0, and this applies to NodeList as well. So your
for (var j = 1; j <= radiob[i].length; j++)
loop is not correct.
If you fix these problems then your function should work correctly.
QUESTION
I sent out a Google Form questionnaire and in select questions I used Likert scale. How best do I convert it to numerical so it can be useful in logistic regression that I want to try? The other columns I already converted to numerical via replace function. My data set now looks like this:
Data Q1 Q2 Q3 Q4 Q5 1 0 Somewhat Agree Neutral Somewhat Disagree 3 2 3 Strongly Agree Strongly Disagree Neutral 1 3 1 Neutral Somewhat Agree Strongly Disagree 2Would need help please in the Python codes to effectively convert Q2 to Q4 into numerical, as in truth I have around 15 of these type of columns.
...ANSWER
Answered 2021-Jun-13 at 03:14One option is replace
and a replacer dict
:
QUESTION
Dear Stackoverflow community, I have an excel file "big_excel.xlsx", which comprises of four columns namely "date_column","efficacy", "composition" and "testgroups". Basically, I have splitted this excel quarterly "q1..q4", so that I can compare values in each column with 4 different excels that I recieved from 4 different sources which are supposed to be 100% identical. This excels from sender are such that elements are already sorted in such way that it should match exactly with the excel which are splitted quarterly. My code works perfectly for quarter q1. And to compare I have used ".equals" because it can have nans. Now I have to apply same code concept for the remaining quarters q2..q4.
...ANSWER
Answered 2021-Jun-12 at 14:26One approach could be defining a function which takes one quarter dataframe and the corresponding test dataframe for that quarter and returns the original dataframes with the comparing columns. Something like:
QUESTION
I'm fairly new in DBT and trying to explore how to exposures. I've already read the documentation ( https://docs.getdbt.com/docs/building-a-dbt-project/exposures ), but I do not feel that I get the answers to my questions.
I'm well aware of the concept that you create an exposures file in your models' folder, then you declare the table name and the other tables/sources that it depends on.
Q1 - Should I state the whole downstream of tables or just the direct tables that it depends on?
Q2 - What exact benefit does it do? Can you come up with a specific scenario?
Q3 - what the purpose of dbt run -m exposure:name and dbt test -m exposure:name? Is it testing the model or the exposure?
I've done exactly what they say in the documentation, I just do not get how I can use it.
Thank you in advance :-)
...ANSWER
Answered 2021-Jun-12 at 06:26I’m not an expert in exposures but I hope my answer can give you some directions.
Q1 - As far I’m aware you just need to specify the direct tables that it depends on. dbt would automatically handle the downstream references. It’s important to make sure that all your models and sources are properly configured and that you are using the ref and source function when referencing them. This is how dbt track the nodes and dependencies to generate the DAG for the documentation.
Q2 - One of the benefits of having exposure is that it improves your documentation and helps the team to understand how the data flow through the reporting/dashboard. Let’s say the business users asked for new requirements or changes need to be done in the dashboard, the analyst can easily go to the exposure and see all the dependencies, and the code that the dashboard is using and from there can make a fast decision and move the requirements to the ETL team or whatever. Another example could be related to refresh. Imagine you are working in a serie of objects from the same context or tag, for instance, project, and you need to refresh only the objects from the project scope that are being used in a specific dashboard. To achieve that, you can run the dbt command only for that exposure.
Q3 - The purpose of those commands is to run and test only the models and references of a particular exposure. You can think about this as a different way for tagging reporting objects or whatever were declared in the exposure. It can be really useful for some cases.
Hope that helps, thanks!
QUESTION
Values are for two groups by quarter.
In DAX, need to summarize all the data but also need to remove -3 from each quarter in 2021 for Group 1, without allowing the value to go below 0.
This only impacts:
- Group 1 Only
- 2021 Only
However, I also need to retain the data details without the adjustment. So I can't do this in Power Query. My data detail is actually in months but I'm only listing one date per quarter for brevity.
Data:
Group Date Value 1 01/01/2020 10 1 04/01/2020 8 1 07/01/2020 18 1 10/01/2020 2 1 01/01/2021 12 1 04/01/2021 3 1 07/01/2021 7 1 10/01/2021 2 2 01/01/2020 10 2 04/01/2020 8 2 07/01/2020 18 2 10/01/2020 2 2 01/01/2021 12 2 04/01/2021 3 2 07/01/2021 7 2 10/01/2021 2Result:
Group Qtr/Year Value 1 Q1-2020 10 1 Q2-2020 8 1 Q3-2020 18 1 Q4-2020 2 1 2020 38 1 Q1-2021 9 1 Q2-2021 0 1 Q3-2021 4 1 Q4-2021 0 1 2021 13 2 Q1-2020 10 2 Q2-2020 8 2 Q3-2020 18 2 Q4-2020 2 2 2020 2 2 Q1-2021 12 2 Q2-2021 3 2 Q3-2021 7 2 Q4-2021 2 2 2021 24 ...ANSWER
Answered 2021-Jun-11 at 14:45You issue can be solved by using Matrix Table
, and also to add new column
to process value before create the table:
First, add a new column using following formula:
QUESTION
I have an array of structs in BigQuery that looks like:
...ANSWER
Answered 2021-Jun-10 at 15:29Assuming this is an array of structs, you can use:
QUESTION
I am new to R programming and most of my experience thus far is with using highly structured rectangular data from a .csv or .xlsx. But now I've been handed about 30 spreadsheets of budget data that look like this:
And in order to work with them, I'd like to get them into a more friendly format (not exactly tidy b/c of the Q1 to Q4 could/should be a single variable -- but I can fix that later with pivot_longer), like this:
Searching SO, the closest problem/solution I found was this: R importing semi-unstructured data CSV, but that example contains a series of structured tables that do not require the modification mine does, plus, it is a text file converting to character vectors, and I have Excel workbooks with multiple worksheets (I only need 1 of the sheets).
Here's what I've tried so far:
...ANSWER
Answered 2021-Jun-07 at 19:40Here is the script I used -- it works -- with explanatory comments:
QUESTION
I have a dataframe, df, that contains two columns that contain quarter values. I would like to create two more columns that are the equivalent "long dates".
Data
...ANSWER
Answered 2021-Jun-04 at 20:17Code
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install q3
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page