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  1. docs/distributed/README.md

    A stand-alone MinIO server would go down if the server hosting the drives goes offline. In contrast, a distributed MinIO setup with _m_ servers and _n_ drives will have your data safe as long as _m/2_ servers or _m*n_/2 or more drives are online.
    
    For example, an 16-server distributed setup with 200 drives per node would continue serving files, up to 4 servers can be offline in default configuration i.e around 800 drives down MinIO would continue to read and write objects.
    
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  2. docs/distributed/DESIGN.md

    - We limited the number of drives to 16 for erasure set because, erasure code shards more than 16 can become chatty and do not have any performance advantages. Additionally since 16 drive erasure set gives you tolerance of 8 drives per object by default which is plenty in any practical scenario.
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  3. docs/contribute/debug_logging.md

    $ adb shell setprop log.tag.okhttp.TaskRunner DEBUG
    $ adb logcat '*:E' 'okhttp.Http2:D' 'okhttp.TaskRunner:D'
    ```
    
    ### HTTP/2 Frame Logging
    
    This logs inbound (`<<`) and outbound (`>>`) frames for HTTP/2 connections.
    
    ```
    [2020-01-01 00:00:00] >> CONNECTION 505249202a20485454502f322e300d0a0d0a534d0d0a0d0a
    [2020-01-01 00:00:00] >> 0x00000000     6 SETTINGS
    [2020-01-01 00:00:00] >> 0x00000000     4 WINDOW_UPDATE
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  4. docs/pt/docs/tutorial/extra-models.md

        'full_name': None,
    }
    ```
    
    #### Desembrulhando um `dict`
    
    Se tomarmos um `dict` como `user_dict` e passarmos para uma função (ou classe) com `**user_dict`, o Python irá "desembrulhá-lo". Ele passará as chaves e valores do `user_dict` diretamente como argumentos chave-valor.
    
    Então, continuando com o `user_dict` acima, escrevendo:
    
    ```Python
    UserInDB(**user_dict)
    ```
    
    Resultaria em algo equivalente a:
    
    ```Python
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  5. docs/contribute/code_of_conduct.md

       questions. Those who are asked should be responsive and helpful.
    
     * **Step down considerately**: Members of every project come and go. When somebody leaves or
       disengages from the project, they should make it known and take the proper steps to ensure that
       others can pick up where they left off.
    
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  6. docs/pt/docs/tutorial/schema-extra-example.md

    ### `Body` com vários `examples`
    
    Alternativamente ao único `example`, você pode passar `examples` usando um `dict` com **vários examples**, cada um com informações extras que serão adicionadas no **OpenAPI** também.
    
    As chaves do `dict` identificam cada exemplo, e cada valor é outro `dict`.
    
    Cada `dict` de exemplo específico em `examples` pode conter:
    
    * `summary`: Pequena descrição do exemplo.
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  7. docs/debugging/README.md

    ### Remotely Inspecting backend data
    
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  8. docs/distributed/SIZING.md

    If one or more drives are offline at the start of a PutObject or NewMultipartUpload operation the object will have additional data
    protection bits added automatically to provide the regular safety for these objects up to 50% of the number of drives.
    This will allow normal write operations to take place on systems that exceed the write tolerance.
    
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  9. okhttp/src/main/kotlin/okhttp3/internal/http2/PushObserver.kt

     *  * [onHeaders] (unless canceled)
     *  * [onData] (optional sequence of data frames)
     *
     * As a stream ID is scoped to a single HTTP/2 connection, implementations which target multiple
     * connections should expect repetition of stream IDs.
     *
     * Return true to request cancellation of a pushed stream.  Note that this does not guarantee
     * future frames won't arrive on the stream ID.
     */
    interface PushObserver {
      /**
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  10. build-logic-commons/basics/src/main/kotlin/gradlebuild/basics/classanalysis/AnalyzeAndShade.kt

                                        }
                                    }
                                ),
                                ClassReader.EXPAND_FRAMES
                            )
    
                            classesDir.resolve(details.outputClassFilename).apply {
                                parentFile.mkdirs()
                                writeBytes(classWriter.toByteArray())
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