int nSeededEntries = 100;
    Set<String> expectedKeys = Sets.newHashSetWithExpectedSize(nTasks + nSeededEntries);
    // seed the map, so its segments have a count>0; otherwise, clear() won't visit the in-progress
    // entries
    for (int i = 0; i < nSeededEntries; i++) {
      String s = "b" + i;
      cache.getUnchecked(s);
      expectedKeys.add(s);
    }
    computationShouldWait.set(true);

    int nSeededEntries = 100;
    Set<String> expectedKeys = Sets.newHashSetWithExpectedSize(nTasks + nSeededEntries);
    // seed the map, so its segments have a count>0; otherwise, clear() won't visit the in-progress
    // entries
    for (int i = 0; i < nSeededEntries; i++) {
      String s = "b" + i;
      cache.getUnchecked(s);
      expectedKeys.add(s);
    }
    computationShouldWait.set(true);

  - content.footnote.tooltips
  - content.tabs.link
  - content.tooltips
  - navigation.footer
  - navigation.indexes
  - navigation.instant
  - navigation.instant.prefetch
  - navigation.instant.progress
  - navigation.path
  - navigation.tabs
  - navigation.tabs.sticky
  - navigation.top
  - navigation.tracking
  - search.highlight
  - search.share
  - search.suggest
  - toc.follow
  icon:

                }
            }
        }
        return queryBuf.toString().trim();
    }

    /**
     * Appends various search conditions to the query buffer.
     * Processes advanced search parameters like occurrence, phrases, OR queries, NOT queries,
     * file types, site searches, and timestamp filters.
     *
     * @param queryBuf the StringBuilder to append conditions to

}

// ResyncStatusType status of resync operation
type ResyncStatusType int

const (
	// NoResync - no resync in progress
	NoResync ResyncStatusType = iota
	// ResyncPending - resync pending
	ResyncPending
	// ResyncCanceled - resync canceled
	ResyncCanceled
	// ResyncStarted -  resync in progress
	ResyncStarted
	// ResyncCompleted -  resync finished
	ResyncCompleted
	// ResyncFailed -  resync failed

  }

  /*
   * @IgnoreJRERequirement should be redundant with the one on Streams itself, but it's necessary as
   * of Animal Sniffer 1.24. Maybe Animal Sniffer processes this nested class before it processes
   * Streams and thus hasn't had a chance to see Streams's annotation?
   */
  @IgnoreJRERequirement
  private abstract static class MapWithIndexSpliterator<
          F extends Spliterator<?>,

                session.getResult().addException(e);
            }
        }

        @Override
        public void close() {
            this.executor.close();
        }

        /**
         * Processes a single build step, deciding whether to schedule it for execution or skip it.
         *
         * @param step The build step to process
         */
        private void processStep(BuildStep step) {

如此，你可以學會關於容器與 Docker 的知識，並將這些知識重複運用到許多不同工具與元件上。

因此，你會執行多個容器，內容各不相同，例如一個資料庫、一個 Python 應用、一個帶有 React 前端應用的網頁伺服器，並透過它們的內部網路把它們連接在一起。

所有容器管理系統（例如 Docker 或 Kubernetes）都內建了這些網路功能。

## 容器與行程 { #containers-and-processes }

容器映像通常在其 metadata 中包含當容器啟動時應執行的預設程式或指令，以及要傳給該程式的參數。這與在命令列要執行的內容非常類似。

當容器啟動時，它會執行該指令/程式（雖然你可以覆寫它，讓它執行不同的指令/程式）。

只要主要行程（指令或程式）在執行，容器就會運作。

容器通常只有單一行程，但也可以由主要行程啟動子行程，如此你會在同一個容器內有多個行程。

    @Test
    void testDoFilter_ntlmType1Message() throws Exception {
        // Test NTLM Type 1 message handling
        // This test verifies that when a Type 1 NTLM message is received,
        // the filter processes it correctly through NtlmSsp.authenticate

        // Create a minimal filter config that won't try to connect to a real server
        Map<String, String> initParams = new HashMap<>();

 * This analyzer focuses on identifying duplicate strings and their memory impact across different paths in the POM structure.
 *
 * <p>The analyzer processes POM files recursively, tracking string occurrences and their locations within the POM structure.
 * It can identify areas where string deduplication could provide significant memory savings.</p>
 *
 * <p>Usage example:</p>