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README.md
<div style="text-align: right; margin-right: 10%;">Brian Okken - <strong><a href="https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-wrongs?time_in_sec=855" target="_blank">Python Bytes</a> podcast host</strong> <a href="https://twitter.com/brianokken/status/1112220079972728832" target="_blank"><small>(ref)</small></a></div> ---
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architecture/runtimes.md
daemon --> worker3 ``` These are all Java processes. Each process has a corresponding "runtime". All source code in Gradle is written to target one or more of these runtimes. Most source code targets the daemon and the remaining code either targets a single runtime, for example the Gradle client, or is shared across multiple runtimes. ## Composition by architecture modules
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RELEASE.md
maintains a hash table to track the most up-to-date vocabulary based on the inputs received by the layer and the eviction policy. When this layer is used with an `UpdateEmbeddingCallback`, which is a time-based callback, the vocabulary lookup tensor is updated at the time interval set in the `UpdateEmbeddingCallback` based on the most up-to-date vocabulary hash
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docs/en/docs/fastapi-cli.md
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docs/az/docs/index.md
<div style="text-align: right; margin-right: 10%;">Brian Okken - <strong><a href="https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-wrongs?time_in_sec=855" target="_blank">Python Bytes</a> podcast host</strong> <a href="https://twitter.com/brianokken/status/1112220079972728832" target="_blank"><small>(ref)</small></a></div> ---
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docs/vi/docs/index.md
<div style="text-align: right; margin-right: 10%;">Brian Okken - <strong><a href="https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-wrongs?time_in_sec=855" target="_blank">Python Bytes</a> podcast host</strong> <a href="https://twitter.com/brianokken/status/1112220079972728832" target="_blank"><small>(ref)</small></a></div> ---
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docs/yo/docs/index.md
<div style="text-align: right; margin-right: 10%;">Brian Okken - <strong><a href="https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-wrongs?time_in_sec=855" target="_blank">Python Bytes</a> podcast host</strong> <a href="https://twitter.com/brianokken/status/1112220079972728832" target="_blank"><small>(ref)</small></a></div> ---
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docs/ja/docs/index.md
"_私は**FastAPI**にワクワクしています。 めちゃくちゃ楽しいです!_" <div style="text-align: right; margin-right: 10%;">Brian Okken - <strong><a href="https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-wrongs?time_in_sec=855" target="_blank">Python Bytes</a> podcast host</strong> <a href="https://twitter.com/brianokken/status/1112220079972728832" target="_blank"><small>(ref)</small></a></div> --- "_正直、超堅実で洗練されているように見えます。いろんな意味で、それは私がハグしたかったものです。_"
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docs/en/docs/deployment/docker.md
And as you would be building the container image again and again during development to check that your code changes are working, there's a lot of accumulated time this would save.
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docs/en/docs/deployment/concepts.md
## Running on Startup In most cases, when you create a web API, you want it to be **always running**, uninterrupted, so that your clients can always access it. This is of course, unless you have a specific reason why you want it to run only in certain situations, but most of the time you want it constantly running and **available**. ### In a Remote Server
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