if (FLOATING_POINT_PATTERN.matcher(string).matches()) {
      // TODO(lowasser): could be potentially optimized, but only with
      // extensive testing
      try {
        return Double.parseDouble(string);
      } catch (NumberFormatException e) {
        // Double.parseDouble has changed specs several times, so fall through
        // gracefully
      }
    }
    return null;
  }

      // TODO(lowasser): could be potentially optimized, but only with
      // extensive testing
      try {
        return Float.parseFloat(string);
      } catch (NumberFormatException e) {
        // Float.parseFloat has changed specs several times, so fall through
        // gracefully
      }
    }
    return null;
  }

* kube-apiserver: Fixed a regression accepting patch requests > 1MB ([#84963](https://github.com/kubernetes/kubernetes/pull/84963), [@liggitt](https://github.com/liggitt))

        } else {
          value = tokenizer.consumeToken(TOKEN_MATCHER);
        }
        parameters.put(attribute, value);
      }
      return create(type, subtype, parameters.build());
    } catch (IllegalStateException e) {
      throw new IllegalArgumentException("Could not parse '" + input + "'", e);
    }
  }

  private static void consumeSeparator(Tokenizer tokenizer, char c) {

## Changes by Kind

### API Change

<p>
"If" statements specify the conditional execution of two branches
according to the value of a boolean expression.  If the expression
evaluates to true, the "if" branch is executed, otherwise, if
present, the "else" branch is executed.
</p>

<pre class="ebnf">
IfStmt = "if" [ SimpleStmt ";" ] Expression Block [ "else" ( IfStmt | Block ) ] .
</pre>

<pre>
if x &gt; max {
	x = max

			return err
		}
		err = werr
	}
}

// stringsHasPrefixFold tests whether the string s begins with prefix ignoring case.
func stringsHasPrefixFold(s, prefix string) bool {
	// Test match with case first.
	return len(s) >= len(prefix) && (s[0:len(prefix)] == prefix || strings.EqualFold(s[0:len(prefix)], prefix))
}

func ptr[T any](a T) *T {
	return &a
}

        """
        Add a *path operation* using an HTTP PATCH operation.

        ## Example

        ```python
        from fastapi import FastAPI
        from pydantic import BaseModel

        class Item(BaseModel):
            name: str
            description: str | None = None

        app = FastAPI()

        @app.patch("/items/")
        def update_item(item: Item):

That, plus the simple fact that Python is the main language for **Data Science**, Machine Learning and especially Deep Learning, make FastAPI a very good match for Data Science / Machine Learning web APIs and applications (among many others).

To see how to achieve this parallelism in production see the section about [Deployment](deployment/index.md){.internal-link target=_blank}.

      return array[start + index];
    }

    @Override
    @SuppressWarnings("Java7ApiChecker")
    /*
     * This is an override that is not directly visible to callers, so NewApi will catch calls to
     * Collection.spliterator() where necessary.
     */
    @IgnoreJRERequirement
    public Spliterator.OfLong spliterator() {
      return Spliterators.spliterator(array, start, end, 0);
    }