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docs/extensions/s3zip/README.md
The main limitation is that to update or delete content of a file inside a ZIP file the entire ZIP file must be replaced. ## How to enable S3 ZIP behavior ?
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docs/en/docs/history-design-future.md
> Whatโs the history of this project? It seems to have come from nowhere to awesome in a few weeks [...] Here's a little bit of that history. ## Alternatives I have been creating APIs with complex requirements for several years (Machine Learning, distributed systems, asynchronous jobs, NoSQL databases, etc), leading several teams of developers.
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docs/en/docs/async.md
Instead of that, by being an "asynchronous" system, once finished, the task can wait in line a little bit (some microseconds) for the computer / program to finish whatever it went to do, and then come back to take the results and continue working with them.
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README.md
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RELEASE.md
takes arguments in reversed order and with different keywords. In particular we now match NumPy order as `tf.concat(values, axis, name)`. * `tf.image.decode_jpeg` by default uses the faster DCT method, sacrificing a little fidelity for improved speed. One can revert to the old behavior by specifying the attribute `dct_method='INTEGER_ACCURATE'`. * `tf.complex_abs` has been removed from the Python interface. `tf.abs` supports complex tensors and
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docs/en/docs/tutorial/security/first-steps.md
<img src="/img/tutorial/security/image01.png"> !!! check "Authorize button!" You already have a shiny new "Authorize" button. And your *path operation* has a little lock in the top-right corner that you can click. And if you click it, you have a little authorization form to type a `username` and `password` (and other optional fields): <img src="/img/tutorial/security/image02.png"> !!! note
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docs/en/docs/deployment/server-workers.md
From the list of deployment concepts from above, using workers would mainly help with the **replication** part, and a little bit with the **restarts**, but you still need to take care of the others: * **Security - HTTPS** * **Running on startup** * ***Restarts*** * Replication (the number of processes running) * **Memory**
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docs/en/docs/deployment/docker.md
This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).
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docs/en/docs/deployment/concepts.md
If you are paying for 3 servers but you are using only a little bit of their RAM and CPU, you are probably **wasting money** ๐ธ, and probably **wasting server electric power** ๐, etc.
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/references/FirReferenceResolveHelper.kt
// if the class is defined as a type alias. We can detect that situation when the constructed type // is different from the return type of the constructor. // // TODO: This seems a little indirect. Is there a better way to do this? For FE1.0 there is // a special `TypeAliasConstructorDescriptor` for this case. For FIR there is
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