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

    And then they can try again knowing that it's probably something more similar to `stanleyjobsox` than to `johndoe`.
    
    #### A "professional" attack { #a-professional-attack }
    
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  2. docs/en/docs/tutorial/query-params.md

    * `limit`: with a value of `10`
    
    As they are part of the URL, they are "naturally" strings.
    
    But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it.
    
    All the same process that applied for path parameters also applies for query parameters:
    
    * Editor support (obviously)
    * Data <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>
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  3. docs/en/docs/advanced/security/oauth2-scopes.md

    {* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}
    
    ## Verify the `username` and data shape { #verify-the-username-and-data-shape }
    
    We verify that we get a `username`, and extract the scopes.
    
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  4. docs/en/docs/tutorial/request-form-models.md

    **FastAPI** will **extract** the data for **each field** from the **form data** in the request and give you the Pydantic model you defined.
    
    ## Check the Docs { #check-the-docs }
    
    You can verify it in the docs UI at `/docs`:
    
    <div class="screenshot">
    <img src="/img/tutorial/request-form-models/image01.png">
    </div>
    
    ## Forbid Extra Form Fields { #forbid-extra-form-fields }
    
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  5. docs/en/docs/tutorial/cors.md

    To achieve this, the `:80`-backend must have a list of "allowed origins".
    
    In this case, the list would have to include `http://localhost:8080` for the `:8080`-frontend to work correctly.
    
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  6. docs/en/docs/tutorial/sql-databases.md

    Now that we have **multiple models**, we can update the parts of the app that use them.
    
    We receive in the request a `HeroCreate` *data model*, and from it, we create a `Hero` *table model*.
    
    This new *table model* `Hero` will have the fields sent by the client, and will also have an `id` generated by the database.
    
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  7. docs/en/docs/tutorial/header-param-models.md

    {* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}
    
    **FastAPI** will **extract** the data for **each field** from the **headers** in the request and give you the Pydantic model you defined.
    
    ## Check the Docs { #check-the-docs }
    
    You can see the required headers in the docs UI at `/docs`:
    
    <div class="screenshot">
    <img src="/img/tutorial/header-param-models/image01.png">
    </div>
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  8. fess-crawler/src/main/java/org/codelibs/fess/crawler/entity/SitemapUrl.java

         * which pages you deem most important for the crawlers.
         *
         * The default priority of a page is 0.5.
         *
         * Please note that the priority you assign to a page is not likely to
         * influence the position of your URLs in a search engine's result pages.
         * Search engines may use this information when selecting between URLs on
         * the same site, so you can use this tag to increase the likelihood that
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  9. docs/en/docs/advanced/openapi-webhooks.md

    This is because it is expected that **your users** would define the actual **URL path** where they want to receive the webhook request in some other way (e.g. a web dashboard).
    
    ### Check the docs { #check-the-docs }
    
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  10. docs/en/docs/tutorial/dependencies/dependencies-in-path-operation-decorators.md

    These dependencies can `raise` exceptions, the same as normal dependencies:
    
    {* ../../docs_src/dependencies/tutorial006_an_py39.py hl[10,15] *}
    
    ### Return values { #return-values }
    
    And they can return values or not, the values won't be used.
    
    So, you can reuse a normal dependency (that returns a value) you already use somewhere else, and even though the value won't be used, the dependency will be executed:
    
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