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  1. docs/en/docs/help-fastapi.md

    * Then check that the tests **pass** after the PR. ✅
    
    * Many PRs don't have tests, you can **remind** them to add tests, or you can even **suggest** some tests yourself. That's one of the things that consume most time and you can help a lot with that.
    
    * Then also comment what you tried, that way I'll know that you checked it. 🤓
    
    ## Create a Pull Request
    
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  2. docs/en/docs/alternatives.md

    Routes are declared in a single place, using functions declared in other places (instead of using decorators that can be placed right on top of the function that handles the endpoint). This is closer to how Django does it than to how Flask (and Starlette) does it. It separates in the code things that are relatively tightly coupled.
    
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  3. docs/en/docs/deployment/docker.md

    Then, in that case, it could be simpler to have **one container** with **multiple processes**, and a local tool (e.g. a Prometheus exporter) on the same container collecting Prometheus metrics for all the internal processes and exposing those metrics on that single container.
    
    ---
    
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  4. android/guava/src/com/google/common/io/ByteSource.java

       * absent, it will fall back to a heavyweight operation that will open a stream, read (or {@link
       * InputStream#skip(long) skip}, if possible) to the end of the stream and return the total number
       * of bytes that were read.
       *
       * <p>Note that for some sources that implement {@link #sizeIfKnown} to provide a more efficient
       * implementation, it is <i>possible</i> that this method will return a different number of bytes
    Java
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  5. common-protos/k8s.io/api/flowcontrol/v1beta2/generated.proto

      //
      // The value of this field can be more than 100, implying that this
      // priority level can borrow a number of seats that is greater than
      // its own nominal concurrency limit (NominalCL).
      // When this field is left `nil`, the limit is effectively infinite.
      // +optional
      optional int32 borrowingLimitPercent = 4;
    }
    
    // NonResourcePolicyRule is a predicate that matches non-resource requests according to their verb and the
    Plain Text
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  6. common-protos/k8s.io/api/flowcontrol/v1alpha1/generated.proto

      //
      // The value of this field can be more than 100, implying that this
      // priority level can borrow a number of seats that is greater than
      // its own nominal concurrency limit (NominalCL).
      // When this field is left `nil`, the limit is effectively infinite.
      // +optional
      optional int32 borrowingLimitPercent = 4;
    }
    
    // NonResourcePolicyRule is a predicate that matches non-resource requests according to their verb and the
    Plain Text
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  7. architecture/ambient/ztunnel.md

    When fetching certificates, ztunnel will authenticate to the CA with its own identity, but request the identity of another workload.
    Critically, the CA must enforce that the ztunnel has permission to request that identity.
    Requests for identities not running on the node are rejected.
    This is critical to ensure that a compromised node does not compromise the entire mesh.
    
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  8. android/guava/src/com/google/common/util/concurrent/SmoothRateLimiter.java

       * of the function, thus time. Thus, the RateLimiter becomes /faster/ after a period of
       * underutilization. If, on the other hand, we pick a function that goes /above/ that horizontal
       * line, then it means that the area (time) is increased, thus storedPermits are more costly than
       * fresh permits, thus the RateLimiter becomes /slower/ after a period of underutilization.
       *
    Java
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  9. docs/en/docs/tutorial/response-model.md

    ### FastAPI Data Filtering
    
    Now, for FastAPI, it will see the return type and make sure that what you return includes **only** the fields that are declared in the type.
    
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  10. docs/en/docs/async.md

    So you wait for your crush to finish the story (finish the current work ⏯ / task being processed 🤓), smile gently and say that you are going for the burgers ⏸.
    
    Then you go to the counter 🔀, to the initial task that is now finished ⏯, pick the burgers, say thanks and take them to the table. That finishes that step / task of interaction with the counter ⏹. That in turn, creates a new task, of "eating burgers" 🔀 ⏯, but the previous one of "getting burgers" is finished ⏹.
    
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