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Hi. First off I'd like to say that I'm unsure if I should post this issue here or in the array_record repo or in the tensorflow_datasets repo. But my goal here is to ultimately use grain in my project…
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Hello – thank you for working on SQLDown!
I'm trying to run the iterator through a large number of entries (~100,000). It is quite slow – I believe it is loading up all the entries before doing any…
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```
This is a question/feature request. In my testing, it seems like the main
bottleneck is the building of the GlobalIndex, as opposed to using the
FeatureBuilder classes for doing the counts. Howe…
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---
title: Request for Testing and Deployment - AutoHub App
## Issue Description
Hello team,
We've reached a critical milestone in the development of our "AutoHub" app, and it's time to init…
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In our current voxel implementation, frame rates can be low (~20 FPS) when rendering a large voxel dataset in a full-screen view.
We know that the fragment shader is the bottleneck, because:
- A D…
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When testing one has to ensure the client machine is powerful enough to withstand a CPU load
created by the erlang client program.
On several occasions I saw the client to consume more CPU than a ser…
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## **Goal**:
`As a` DevOps Engineer
`I want to` baseline core services with the new completed batching position handler (fulfil, abort and timeout)
`so that` we can ensure the performance and stabi…
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There are surprisingly low limits on how much RAM a service worker can consume (4gbs), and even more surprising limits on total RAM usage per-tab on windows chromium machines (8gb).
In our testing…
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### What is your issue?
```
In [1]: import xarray
---------------------------------------------------------------------------
TypeError Traceback (most recent call …