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docs/en/docs/tutorial/cors.md
Even if they are all in `localhost`, they use different protocols or ports, so, they are different "origins". ## Steps So, let's say you have a frontend running in your browser at `http://localhost:8080`, and its JavaScript is trying to communicate with a backend running at `http://localhost` (because we don't specify a port, the browser will assume the default port `80`).
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docs/en/docs/tutorial/sql-databases.md
Pydantic's `orm_mode` will tell the Pydantic *model* to read the data even if it is not a `dict`, but an ORM model (or any other arbitrary object with attributes). This way, instead of only trying to get the `id` value from a `dict`, as in: ```Python id = data["id"] ``` it will also try to get it from an attribute, as in: ```Python id = data.id ```
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docs/en/docs/deployment/docker.md
So, if your application consumes a lot of memory (for example with machine learning models), and your server has a lot of CPU cores **but little memory**, then your container could end up trying to use more memory than what is available, and degrading performance a lot (or even crashing). 🚨 ### Create a `Dockerfile` Here's how you would create a `Dockerfile` based on this image: ```Dockerfile
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