When reading response a header, use `header(name)` to return the _last_ occurrence of the named value. Usually this is also the only occurrence! If no value is present, `header(name)` will return null. To read all of a field's values as a list, use `headers(name)`.

                    }
                }
            }
        }
        return paramMap;
    }

    /**
     * Encrypts sensitive parameter values.
     *
     * @param value the parameter string
     * @return the encrypted parameter string
     */
    public static String encrypt(final String value) {
        final StringBuilder buf = new StringBuilder();

      int i = 0;
      for (Entry<K, V> entry : originalEntries) {
        entries.add(mapEntry(entry.getKey(), valuesArray[i++]));
      }

      return mapGenerator.create(entries.toArray()).values();
    }

    @Override
    public V[] createArray(int length) {
      V[] vs =
          ((TestBiMapGenerator<K, V>) mapGenerator.getInnerGenerator()).createValueArray(length);
      return vs;
    }

| `DefaultContentsParser.java` | Text processing pipeline |

### Key Constants

```java
// Field names (FieldNames.java)
TEXT, READING_PREFIX, QUERY_FREQ, DOC_FREQ, USER_BOOST, KINDS, TIMESTAMP

// Default values
MAX_READING_NUM = 10
PREFIX_MATCH_WEIGHT = 2.0f
EXPECTED_INDEX_COUNT = 1

// Default timeouts
searchTimeout: 15s
indexTimeout: 1m
bulkTimeout: 1m
```

### Common Workflows

                if (vertex != null) {
                    addEdge(projectVertex, vertex, project, projectMap, force, safe);
                }
            } else {
                for (Vertex vertex : vertices.values()) {
                    addEdge(projectVertex, vertex, project, projectMap, force, safe);
                }
            }
        }
    }

    private void addEdge(
            Vertex fromVertex,

     *
     * @return channel statistics
     */
    public ChannelStatistics getStatistics() {
        return new ChannelStatistics(sessionChannels.size(),
                sessionChannels.values().stream().mapToInt(ChannelGroup::getChannelCount).sum(), totalRequests.get(),
                totalChannelsCreated.get());
    }

    /**
     * Channel statistics.
     */

Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}

      for (int i = 0; i < params.size(); i++) {
        TypeToken<?> paramType = type.resolveType(typeVars[i]);
        // We require all @Generates methods to either be parameter-less or accept non-null
        // values for their generic parameter types.
        Object argValue = generate(paramType);
        if (argValue == null) {
          // When a parameter of a @Generates method cannot be created,

 *       com.google.common.primitives.Ints#stringConverter Ints.stringConverter} or the {@linkplain
 *       #reverse reverse} views of these.
 *   <li>Convert between specific preset values using {@link
 *       com.google.common.collect.Maps#asConverter Maps.asConverter}. For example, use this to
 *       create a "fake" converter for a unit test. It is unnecessary (and confusing) to <i>mock</i>

 various properties files. What needs to be done is to encapsulate all of this in the POM.

 Typically users parameterize the use of plugins, or have custom values like ${user.name}
 for use in elements like the <developerConnection/>. It would be idea if we
 could encapsulate everything we need about the project in the POM including
 plugin parameters and anything else.