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We generate a random number each frame, and if it is bigger/lower than some value, we trigger an event.
Because we have more FPS, we "roll the dice" more times per second, thus getting events more of…
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# Synopsis
OpenSearch Benchmark (OSB) is a performance testing tool for OpenSearch, a community-driven, open source search and analytics suite. It allows users to benchmark various aspects of OpenSea…
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## 🚀 Feature
Implement `numpy.random.choice` equivalent.
## Motivation
In some cases, it is useful to get random samples from a torch Tensor efficiently. For instance, during the training of some…
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https://www.chessclub.com/help/wild
`29: Selects a wild at random, but not one of the odds games.
Possible wilds are 3-5, 8-9, 17-18, 22-23, and 25-27.
Some wilds are weighted to be picked more …
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Hello, the latest version seems to have broken all commands i use.
See the debug:
[matroska,webm @ 00000270f30fe540] Before avformat_find_stream_info() pos: 1773 bytes read:32768 seeks:0 nb_stre…
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sometimes (randomly :smile:) chance.weighted will return undefined.
e.g.
``` coffee
chance.weighted ['a', 'b', 'c', 'd'], [0.23, 0.1, 0.122, 0.4] # undefined
```
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A usage tutorial is on my list for stuff I wanna do for the next release, however then life kinda got in the way and I didn't have much time to do that yet ^^
I guess your best bet with the current…
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Generates a random sample from a given (possible weighted) 1-D array.
NumPy docs: https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.choice.html
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Hello. I am looking to generate CBED simulations where I create a synthetic atom which atomic potential is the weighted average of two different atoms. I have look at both ASE and abTEM documentation …
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I'm using RandomForestLearner to train a 10-class categorization model using roughly 15000 examples and 12 features. My example set is imbalanced in terms of category distribution, so I need to use cl…