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  1. docs/en/docs/advanced/security/http-basic-auth.md

    At that point, by noticing that the server took some microseconds longer to send the "Incorrect username or password" response, the attackers will know that they got _something_ right, some of the initial letters were right.
    
    And then they can try again knowing that it's probably something more similar to `stanleyjobsox` than to `johndoe`.
    
    #### A "professional" attack
    
    Plain Text
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  2. docs/en/docs/tutorial/encoder.md

    # JSON Compatible Encoder
    
    There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).
    
    For example, if you need to store it in a database.
    
    For that, **FastAPI** provides a `jsonable_encoder()` function.
    
    ## Using the `jsonable_encoder`
    
    Let's imagine that you have a database `fake_db` that only receives JSON compatible data.
    
    Plain Text
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  3. .github/ISSUE_TEMPLATE/30_contributor_regression.yml

    name: Regression
    description: Report a problem about something that used to work
    labels: [ "a:regression", "to-triage" ]
    assignees: [ ]
    body:
      - type: markdown
        attributes:
          value: |
            Please use our bug report template to report problems with something that has never worked.
            Regressions reports are greatly appreciated during our RC phase and before a final release.
      - type: textarea
        id: current-behavior
        attributes:
    Others
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  4. tests/test_repeated_dependency_schema.py

    app = FastAPI()
    
    
    def get_header(*, someheader: str = Header()):
        return someheader
    
    
    def get_something_else(*, someheader: str = Depends(get_header)):
        return f"{someheader}123"
    
    
    @app.get("/")
    def get_deps(dep1: str = Depends(get_header), dep2: str = Depends(get_something_else)):
        return {"dep1": dep1, "dep2": dep2}
    
    
    client = TestClient(app)
    
    schema = {
        "components": {
    Python
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  5. internal/grid/README.md

    The server handler function has this signature: `type SingleHandlerFn func(payload []byte) ([]byte, *RemoteErr)`.
    
    Sample handler:
    ```go
        handler :=  func(payload []byte) ([]byte, *grid.RemoteErr) {
            // Do something with payload
            return []byte("response"), nil
        }
    
        err := manager.RegisterSingleHandler(grid.HandlerDiskInfo, handler)
    ```
    
    Sample call:
    ```go
        // Get a connection to the remote host
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  6. docs/en/docs/tutorial/middleware.md

    * It takes each **request** that comes to your application.
    * It can then do something to that **request** or run any needed code.
    * Then it passes the **request** to be processed by the rest of the application (by some *path operation*).
    * It then takes the **response** generated by the application (by some *path operation*).
    * It can do something to that **response** or run any needed code.
    * Then it returns the **response**.
    
    Plain Text
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  7. build-logic/documentation/src/test/resources/org/gradle/test/GroovyClassWithMethods.groovy

        /**
         * A method that returns void.
         */
        void voidMethod() {
        }
    
        /**
         * A method that returns a reference type.
         */
        public final CombinedInterface refTypeMethod(JavaInterface someThing, boolean aFlag) {
            null
        }
    
        /**
         * A method that returns a default type.
         */
        def defMethod(def defParam) {
            null
        }
    
        /**
    Groovy
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  8. docs/en/docs/advanced/events.md

    ### Async Context Manager
    
    If you check, the function is decorated with an `@asynccontextmanager`.
    
    That converts the function into something called an "**async context manager**".
    
    ```Python hl_lines="1  13"
    {!../../../docs_src/events/tutorial003.py!}
    ```
    
    A **context manager** in Python is something that you can use in a `with` statement, for example, `open()` can be used as a context manager:
    
    ```Python
    with open("file.txt") as file:
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  9. build-logic/jvm/src/main/kotlin/gradlebuild/startscript/tasks/GradleStartScriptGenerator.kt

                        ++replacementsCount
                        // Use shell's string concatenation: '...'"..." glues contents of quoted and double-quoted strings together.
                        // The result would be something like DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'" \"-javaagent:$APP_HOME/lib/agents/foobar.jar\""
                        line + getAgentOptions("\$APP_HOME").joinToString(separator = " ", prefix = "\" ", postfix = "\"") {
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  10. docs/en/docs/tutorial/first-steps.md

    !!! info "`@decorator` Info"
        That `@something` syntax in Python is called a "decorator".
    
        You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from).
    
        A "decorator" takes the function below and does something with it.
    
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