keyIterator.next();
    keyIterator.remove();
    assertFalse(underlying.containsKey("c"));

    Collection<String> values = map.values();
    values.remove("4");
    assertFalse(underlying.containsKey("d"));

    Iterator<String> valueIterator = values.iterator();
    valueIterator.next();
    valueIterator.remove();
    assertFalse(underlying.containsKey("e"));

        if (value instanceof final LocalDateTime ldt) {
            final ZonedDateTime zdt = ZonedDateTime.of(ldt, ZoneId.systemDefault());
            super.addFieldToSource(sourceMap, field, DateTimeFormatter.ISO_INSTANT.format(zdt));
        } else {
            super.addFieldToSource(sourceMap, field, value);
        }
    }

    @Override

constraints.DecimalMax.message = {item} muss kleiner als {value} sein.
constraints.DecimalMin.message = {item} muss größer als {value} sein.
constraints.Digits.message = {item} muss eine Zahl sein. (erwartet: <Zahl>.<Zahl>)
constraints.Future.message = {item} muss ein zukünftiger Wert sein.
constraints.Max.message = {item} muss kleiner oder gleich {value} sein.
constraints.Min.message = {item} muss größer oder gleich {value} sein.

    getMap().keySet().remove(k0());
    expectMissing(e0());
  }

  @MapFeature.Require(SUPPORTS_REMOVE)
  @CollectionSize.Require(absent = ZERO)
  public void testRemoveFromValuesRemovesFromInverse() {
    getMap().values().remove(v0());
    expectMissing(e0());
  }

  @MapFeature.Require(SUPPORTS_REMOVE)
  @CollectionSize.Require(absent = ZERO)
  public void testRemoveFromInverseRemovesFromForward() {

            buf.append(json);
            buf.append('}');
        } else if (value instanceof Long || value instanceof Integer) {
            buf.append(((Number) value).longValue());
        } else if (value instanceof Number) {
            buf.append(((Number) value).doubleValue());
        } else {
            buf.append('"').append(StringEscapeUtils.escapeJson(value.toString())).append('"');
        }
        return buf;
    }

    protected String[] toStringArray(final Object value) {
        if (value instanceof String[]) {
            return (String[]) value;
        } else if (value instanceof List) {
            return ((List<?>) value).stream().map(v -> v.toString()).toArray(n -> new String[n]);
        }
        String str = DfTypeUtil.toString(value);
        if (str == null) {
            return null;
        }

 *
 * {@snippet :
 * // Building a mutable value graph
 * MutableValueGraph<String, Double> graph =
 *     ValueGraphBuilder.undirected().allowsSelfLoops(true).build();
 * graph.putEdgeValue("San Francisco", "San Francisco", 0.0);
 * graph.putEdgeValue("San Jose", "San Jose", 0.0);
 * graph.putEdgeValue("San Francisco", "San Jose", 48.4);
 *
 * // Building an immutable value graph
 * ImmutableValueGraph<String, Double> immutableGraph =

zh-tw=zh-tw\n\
zh_TW=zh-tw\n\
zh=zh\n\

# boost

# Boost value for title field in queries.
query.boost.title=0.5
# Boost value for title field with language in queries.
query.boost.title.lang=1.0
# Boost value for content field in queries.
query.boost.content=0.05
# Boost value for content field with language in queries.
query.boost.content.lang=0.1
# Boost value for important content field in queries.

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

这里， new_dict 将包含来自 old_dict 的所有键值对加上新的键值对：
```python
{
    "old key": "old value",
    "second old key": "second old value",
    "new key": "new value",
}
```
您可以使用该技术在路径操作中重用一些预定义的响应，并将它们与其他自定义响应相结合。
**例如：**

										</div>
									</div>
									</c:forEach>
									<c:set var="nameKey">name${Double.valueOf(savedTags.size()/2).intValue()+1}</c:set>
									<c:set var="valueKey">value${Double.valueOf(savedTags.size()/2).intValue()+1}</c:set>
									<div class="form-group row">
										<div class="col-sm-6">