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  1. docs/en/docs/tutorial/dependencies/dependencies-with-yield.md

    ## Execution of dependencies with `yield`
    
    The sequence of execution is more or less like this diagram. Time flows from top to bottom. And each column is one of the parts interacting or executing code.
    
    ```mermaid
    sequenceDiagram
    
    participant client as Client
    participant handler as Exception handler
    participant dep as Dep with yield
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  2. docs/en/docs/img/deployment/https/https05.drawio

                    </mxCell>
                    <mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" parent="33" vertex="1">
                        <mxGeometry width="500" height="350" as="geometry"/>
                    </mxCell>
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Thu May 12 00:06:16 UTC 2022
    - 15.6K bytes
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  3. docs/de/docs/deployment/concepts.md

    Sie können einfache Tools wie `htop` verwenden, um die in Ihrem Server verwendete CPU und den RAM oder die von jedem Prozess verwendete Menge anzuzeigen. Oder Sie können komplexere Überwachungstools verwenden, die möglicherweise auf mehrere Server usw. verteilt sind.
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Aug 06 04:48:30 UTC 2024
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  4. guava/src/com/google/common/collect/Queues.java

          throws InterruptedException {
        Preconditions.checkNotNull(buffer);
        /*
         * This code performs one System.nanoTime() more than necessary, and in return, the time to
         * execute Queue#drainTo is not added *on top* of waiting for the timeout (which could make
         * the timeout arbitrarily inaccurate, given a queue that is slow to drain).
         */
        long deadline = System.nanoTime() + unit.toNanos(timeout);
        int added = 0;
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Sat Oct 26 14:11:14 UTC 2024
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  5. okhttp/src/main/kotlin/okhttp3/EventListener.kt

       */
      open fun satisfactionFailure(
        call: Call,
        response: Response,
      ) {
      }
    
      /**
       * Invoked when a result is served from the cache. The Response provided is the top level
       * Response and normal event sequences will not be received.
       *
       * This event will only be received when a Cache is configured for the client.
       */
      open fun cacheHit(
        call: Call,
    Registered: Fri Nov 01 11:42:11 UTC 2024
    - Last Modified: Mon Jan 08 01:13:22 UTC 2024
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  6. compat/maven-embedder/src/main/java/org/fusesource/jansi/Ansi.java

            return this;
        }
    
        /**
         * Moves the cursor to row n, column m. The values are 1-based.
         * Any values less than 1 are mapped to 1.
         *
         * @param row    row (1-based) from top
         * @param column column (1 based) from left
         * @return this Ansi instance
         */
        public Ansi cursor(final int row, final int column) {
    Registered: Sun Nov 03 03:35:11 UTC 2024
    - Last Modified: Fri Oct 25 12:31:46 UTC 2024
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  7. docs/en/docs/img/deployment/https/https07.drawio

                    </mxCell>
                    <mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" parent="33" vertex="1">
                        <mxGeometry width="500" height="350" as="geometry"/>
                    </mxCell>
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Thu May 12 00:06:16 UTC 2022
    - 18.7K bytes
    - Viewed (0)
  8. docs/en/docs/deployment/concepts.md

    You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc.
    
    ## Recap
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Wed Sep 18 16:09:57 UTC 2024
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  9. docs/zh/docs/deployment/concepts.md

    由于某种原因,您的 API 的使用量也有可能出现**激增**。 也许它像病毒一样传播开来,或者也许其他一些服务或机器人开始使用它。 在这些情况下,您可能需要额外的资源来保证安全。
    
    您可以将一个**任意数字**设置为目标,例如,资源利用率**在 50% 到 90%** 之间。 重点是,这些可能是您想要衡量和用来调整部署的主要内容。
    
    您可以使用“htop”等简单工具来查看服务器中使用的 CPU 和 RAM 或每个进程使用的数量。 或者您可以使用更复杂的监控工具,这些工具可能分布在服务器等上。
    
    
    ## 回顾
    
    您在这里阅读了一些在决定如何部署应用程序时可能需要牢记的主要概念:
    
    * 安全性 - HTTPS
    * 启动时运行
    * 重新启动
    * 复制(运行的进程数)
    * 内存
    * 开始前的先前步骤
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Aug 06 04:48:30 UTC 2024
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  10. src/cmd/cgo/ast.go

    	// For now, assume that the only instance of capital C is when
    	// used as the imported package identifier.
    	// The parser should take care of scoping in the future, so
    	// that we will be able to distinguish a "top-level C" from a
    	// local C.
    	if l, ok := sel.X.(*ast.Ident); !ok || l.Name != "C" {
    		return
    	}
    	if context == ctxAssign2 {
    		context = ctxExpr
    	}
    	if context == ctxEmbedType {
    Registered: Tue Nov 05 11:13:11 UTC 2024
    - Last Modified: Mon Oct 14 15:47:06 UTC 2024
    - 14.3K bytes
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