Read.as | Long-form ActivityPub-enabled reader | Storage library
kandi X-RAY | Read.as Summary
kandi X-RAY | Read.as Summary
Read.as is a free and open-source long-form reader built on open web protocols (specifically ActivityPub). It helps you gather and curate things to read in a peaceful space. It's written in Go (golang), and aims to use (minimal) plain Javascript on the frontend. You can support the development of this project on Patreon or Liberapay, or by becoming a Write.as subscriber.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Read.as
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QUESTION
I need to bulk update ("is_read" = True) Message instanses by given list of ids in one request with this code:
...ANSWER
Answered 2022-Feb-20 at 11:17First: here you are getting a queryset, not an instance, so later in your code you are appending querysets to the instances
list. If you want to access single instance you should use get
instead of filter
QUESTION
I spent a lot of time by searching a solution for that, in particular in this answer Use character string as function argument
Anyway I haven't found a solution.
I would use a string of character as it was my input in the console.
In particular, I can create vector v1 in this way
...ANSWER
Answered 2021-Apr-07 at 17:57We could create a grouping column based on the diff
erence of adjacent elements, then use that group in tapply
, to paste
QUESTION
I have two files. One is PNG and the other is TIFF (or .jp2). I want to read geospatial data from the satellite image (.jp2 or .tif) and "put it in" the png file, then save it as a new tif.
I'm very new to working with raster data. I'm using rasterio and so far I've managed to get the meta of a tif file:
...ANSWER
Answered 2021-Feb-04 at 10:28First of all is important to say that from your post seems like the images do not have the same shape and for that reason it might be more challenging and require more processing.
However, i'll answer the question as you defined it on title of your post- how to read those two files and save them as tiff. In order to do this I would read both images as numpy array,stack them together and then georeference them with rasterio.
so you can try seomthin similar to this:
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