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  1. docs/de/docs/tutorial/extra-models.md

    Bedarf.
    
    Sie brauchen kein einzelnes Datenmodell pro Einheit, wenn diese Einheit verschiedene Zustände annehmen kann. So wie unsere Benutzer-„Einheit“, welche einen Zustand mit `password`, einen mit `password_hash` und einen ohne Passwort hatte....
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  2. docs/de/docs/tutorial/schema-extra-example.md

    Vor OpenAPI 3.1.0 verwendete OpenAPI eine ältere und modifizierte Version von **JSON Schema**.
    
    JSON Schema hatte keine `examples`, daher fügte OpenAPI seiner eigenen modifizierten Version ein eigenes `example`-Feld hinzu.
    
    OpenAPI fügte auch die Felder `example` und `examples` zu anderen Teilen der Spezifikation hinzu:
    
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  3. docs/fr/docs/deployment/docker.md

    ![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)
    
    ## Traefik
    
    <a href="https://traefik.io/" class="external-link" target="_blank">Traefik</a> est un reverse proxy/load balancer
    haute performance. Il peut faire office de "Proxy de terminaison TLS" (entre autres fonctionnalités).
    
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  4. docs/es/docs/python-types.md

    En el mismo punto intentas iniciar el auto-completado con `Ctrl+Space` y ves:
    
    <img src="https://fastapi.tiangolo.com/img/python-types/image02.png">
    
    Con esto puedes moverte hacia abajo viendo las opciones hasta que encuentras una que te suene:
    
    <img src="https://fastapi.tiangolo.com/img/python-types/image03.png">
    
    ## Más motivación
    
    Mira esta función que ya tiene type hints:
    
    ```Python hl_lines="1"
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  5. ci/official/utilities/code_check_full.bats

      bazel cquery --keep_going 'kind(py_test, //tensorflow/python/...) - attr("tags", "no_pip|manual", //tensorflow/python/...)' | grep -v -f $BATS_TEST_TMPDIR/ignore_deps_for_these_packages | paste -sd "+" - > $BATS_TEST_TMPDIR/deps
      # Find all one-step dependencies of those tests which are from //tensorflow
      # (since external deps will come from Python-level pip dependencies),
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  6. android/guava/src/com/google/common/collect/MapMaker.java

       * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
       * accommodate as many threads as will ever concurrently modify the table. Using a significantly
       * higher value than you need can waste space and time, and a significantly lower value can lead
       * to thread contention. But overestimates and underestimates within an order of magnitude do not
    Java
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  7. docs/en/docs/advanced/security/http-basic-auth.md

    ```
    
    But right at the moment Python compares the first `j` in `johndoe` to the first `s` in `stanleyjobson`, it will return `False`, because it already knows that those two strings are not the same, thinking that "there's no need to waste more computation comparing the rest of the letters". And your application will say "Incorrect username or password".
    
    But then the attackers try with username `stanleyjobsox` and password `love123`.
    
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  8. docs/en/docs/tutorial/security/first-steps.md

        That's because it is using the same name as in the OpenAPI spec. So that if you need to investigate more about any of these security schemes you can just copy and paste it to find more information about it.
    
    The `oauth2_scheme` variable is an instance of `OAuth2PasswordBearer`, but it is also a "callable".
    
    It could be called as:
    
    ```Python
    oauth2_scheme(some, parameters)
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  9. docs/en/docs/help-fastapi.md

    * You can ask them to provide a <a href="https://stackoverflow.com/help/minimal-reproducible-example" class="external-link" target="_blank">minimal, reproducible, example</a>, that you can **copy-paste** and run locally to see the same error or behavior they are seeing, or to understand their use case better.
    
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  10. tensorflow/c/eager/tape.h

      // `backward_function_deleter`) to compute jvps for this operation. If
      // `forward_function` is null, a GradientTape is used on the backward function
      // to compute the jvp, which will waste computation when executing eagerly.
      //
      // Unlike GradientTape::RecordOperation, Accumulate runs gradient computation
      // immediately. It stores the results, which feed into Accumulate for future
    C
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