try {
                boost = Float.parseFloat(value);
            } catch (final Exception e) {
                if (logger.isDebugEnabled()) {
                    logger.debug("Invalid boost value, keeping current: value={}, error={}", value, e.getMessage());
                }
            }
        }
    }

    @Override
    public String getConfigId() {
        return ConfigType.WEB.getConfigId(getId());

            try {
                boost = Float.parseFloat(value);
            } catch (final Exception e) {
                if (logger.isDebugEnabled()) {
                    logger.debug("Invalid boost value, keeping current: value={}, error={}", value, e.getMessage());
                }
            }
        }
    }

    @Override
    public String getConfigId() {
        return ConfigType.FILE.getConfigId(getId());

		p.actionsLatency[a].add(duration)
	}
}

type currentPathTracker struct {
	name *unsafe.Pointer // contains atomically accessed *string
}

// currentPathUpdater provides a lightweight update function for keeping track of
// current objects for each disk.
// Returns a function that can be used to update the current object
// and a function to call to when processing finished.

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

But with all the benefits:

* Editor support (completion everywhere!)
* Data conversion (a.k.a. parsing / serialization)
* Data validation
* Schema documentation

            try {
                boost = Float.parseFloat(value);
            } catch (final Exception e) {
                if (logger.isDebugEnabled()) {
                    logger.debug("Invalid boost value, keeping current: value={}, error={}", value, e.getMessage());
                }
            }
        }
    }

    @Override
    public String getIndexingTarget(final String input) {
        // always return true

If you are building an application or a web API, it's rarely the case that you can put everything in a single file.

**FastAPI** provides a convenience tool to structure your application while keeping all the flexibility.

/// info

If you come from Flask, this would be the equivalent of Flask's Blueprints.

///

## An example file structure { #an-example-file-structure }

        }

        /**
         * Deletes old documents from the search index.
         * This method removes documents that were indexed in previous
         * crawling sessions for the same data configuration, keeping
         * only the documents from the current session.
         *
         * <p>The deletion process:</p>
         * <ul>
         *   <li>Checks if old document deletion is enabled</li>

**OkHttp now supports Happy Eyeballs ([RFC 8305][rfc_8305]) for IPv4+IPv6 networks.** It attempts
both IPv6 and IPv4 connections concurrently, keeping whichever connects first.

**We’ve improved our Kotlin APIs.** You can skip the builder:

```kotlin
val request = Request(
  url = "https://cash.app/".toHttpUrl(),
)
```

{* ../../docs_src/behind_a_proxy/tutorial001_py39.py hl[6] *}

And the proxy would be **"stripping"** the **path prefix** on the fly before transmitting the request to the app server (probably Uvicorn via FastAPI CLI), keeping your application convinced that it is being served at `/app`, so that you don't have to update all your code to include the prefix `/api/v1`.

Up to here, everything would work as normally.

        Set<Path> modifiedPoms = new HashSet<>();
        Set<Path> errorPoms = new HashSet<>();

        try {
            // Phase 1: Write all modifications to temp directory (keeping project structure)
            Path tempDir = createTempProjectStructure(context, pomMap);

            // Phase 2: For each POM, build effective model using the session and analyze plugins