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Instead of cosigning being based on validator sets, we should investigate if random subset sampling would enable us to maintain a fault tolerance of 33%. This would increase the computational cost of …
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### Feature description
Some map representations don't allow (at least not in a straightforward, practical way) sampling randomly from the map.
This is the case, just to name one, of sparse voxel …
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### Describe the bug
![Screenshot_20240920_101351](https://github.com/user-attachments/assets/6f921ef4-62fb-4ace-9c68-0391b2830d55)
![Screenshot_20240920_100904](https://github.com/user-attachment…
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The most "obvious" way to tell something is wrong with our data capture is by observing account balances.
This could be done against a 3rd party, like Mintscan.
A possible approach:
* For each enab…
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**Version where bug was found:**
Version: v5.1.4
**Describe the bug**
Created an AA experiment with site: `SelectSection` and target: `absolute_value_plot_equality` with strata `fsl_status` from …
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There is `Enumerable#sample(n : Int)` which picks a random subset of size `n` from `self` *without* replacement.
But there is currently no direct method for sampling *with* replacement.
A simple…
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Currently calls to RRTMG have no memory, meaning the seed is initialized within each call (If I understand it properly). That means that the cloud configuration is not really randomized, and I suspect…
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Jira Link: [DB-4324](https://yugabyte.atlassian.net/browse/DB-4324)
### Description
This is to track exploratory work to find ways to randomly sample live rows from rocksdb instances for a table wit…
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TL;DR
I have 1000x3 float data in tfrecord and I want to read it as 500x3 data where 500 is randomly sampled from 1000. I want it to be random every time I read it.
Hi, I'm using PyTorch + DALI …
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Random sampling methods for common distributions are required.
## Normal distribution:
Currently Arraymancer uses Box-Muller: https://github.com/mratsim/Arraymancer/blob/d05ef61847601fe253837329e0…