spitfire | A high-performance Python template language
kandi X-RAY | spitfire Summary
kandi X-RAY | spitfire Summary
Spitfire is a high-performance Python template language inspired by Cheetah. It originally started out as an experiment to see if techniques used in compilers were applicable to templates. Spitfire has been the primary template language for youtube.com since 2008 and is used to generate billions of views a day.
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Top functions reviewed by kandi - BETA
- Run the process
- Compile the source file
- End the test run
- Compile a file
- Prints a warning
- Calculate line number and column number
- Print a message to stderr
- Raise an error
- Resolve a URN attribute
- Resolve a UDN attribute
- Resolve a placeholder with local_vars
- Resolve a placeholder
- Parse a macro node
- Build an i18n message from a raw message
- Return the token at i
- Scans the input
- Add common options
- Get the help for this class
- Resolve placeholder
- Get the value of a registry key
- Enable acceleration
- Return the spitfire template class
spitfire Key Features
spitfire Examples and Code Snippets
Community Discussions
Trending Discussions on spitfire
QUESTION
I am working with a vendor-supplied API that returns this XML when I call it.
...ANSWER
Answered 2021-Dec-27 at 16:48I would suggest to use a different method, i.e. selectNodes()
.
QUESTION
So, I've a command set on my bot that whenever someone types "/planeidea" it sends the name of a plane, however, i've like 300 lines of names of planes. (I reduced it, so you can see an example of what im talking about). What i wanna do is make a .txt file and place all the names of the planes instead of having it in the main code.
...ANSWER
Answered 2021-May-18 at 02:09Alright, so you can just create a plain text file, for my example, I'll just use planes.txt
. Inside planes.txt
, I can just list my planes line by line with no quotations or commas:
QUESTION
Had this commit yesterday where the process would go straight to Heroku's memory limit giving me an R15 error - It worked really well in my testing and also on heroku until it gets to a random number of checked items, at which it throws the error. The interesting part is that right after the error, i get another R15 one, which says i am using only 22.2% of available memory.
Here is the code giving me the error:
...ANSWER
Answered 2021-Apr-23 at 10:27Apparently, denying javascript requests was the solution to this - even though it's not perfect and some sites may require javascript to run, this one was the exception. Just update the config function (which I forgot to include) that blocked images and css, to block js as well.
Here is how that function looks now
QUESTION
I have a Code which I run in Jupyter Notebook,
This is the resulting DataFrame output which I get :-
...ANSWER
Answered 2020-Aug-21 at 06:20Consider breaking out columns for day, month, and year separately and then sort on those as needed. It'll be easier to use the numeric month for sorting (you could keep the displayed date as you have it if that's how you want to display it).
Like:
QUESTION
ANSWER
Answered 2020-Jan-22 at 08:51As you can see on the image that you have posted - the plot you are shown just overlays two plots. Although this is also possible to do with ggplot2, I don't find this very elegant, and can be very tricky, because you need to find the exact positions of both plots so that it looks neat.
Your workaround using geom_line
with your factor levels as y values is interesting, but I am not sure if so desirable.
In any case - this is probably the core of your problem. You are mixing different y measures - and they are of different classes. Factor levels for one plot, numeric / integer for the other. This is problematic. I would not try hard and force those into one y-axis, but I would rather create two plots and combine them with one of the plot combining packages such as patchwork
. Like so
I have renamed your columns, am using a package from GitHub user @alisdaire47 for reading your data and also change some columns in order to achieve the plot. Key is using the right classes: Dates as dates, numerics as numerics.
First read your data:
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