[ {
  "scenario" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.clean checkout",
  "durations" : [ {
    "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
    "linux" : 468
  } ]
}, {
  "scenario" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.cold daemon",
  "durations" : [ {
    "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
    "linux" : 467
  } ]

- **Switch Expressions** - Optimized implementations using switch expressions for better performance
- **Sequenced Collections** - Full support for Java 21 sequenced collections API with dedicated utility methods
- **Performance Focused** - Optimized implementations for better runtime performance with reduced memory allocation
- **Type Safe** - Comprehensive use of generics and modern Java type system features

import org.mockito.Mockito;

import jcifs.Address;
import jcifs.CIFSContext;
import jcifs.Configuration;
import jcifs.Credentials;
import jcifs.smb1.smb1.BufferCache;

/**
 * Comprehensive performance tests for critical performance fixes
 */
public class CriticalPerformanceTest {

    private CIFSContext mockContext;
    private Configuration mockConfig;
    private Credentials mockCredentials;

    @BeforeEach

      - name: Update performance-test-durations.json
        run: |
          ./gradlew performance:writePerformanceTimes -Porg.gradle.performance.db.url=${{ env.PERFORMANCE_DB_URL }} -Porg.gradle.performance.db.username=${{ env.PERFORMANCE_DB_USERNAME }}
      - name: Create Pull Request
        uses: peter-evans/create-pull-request@v7
        with:
          commit-message: Update performance test durations

---

FastAPI é um moderno e rápido (alta performance) _framework web_ para construção de APIs com Python, baseado nos _type hints_ padrões do Python.

Os recursos chave são:

* **Rápido**: alta performance, equivalente a **NodeJS** e **Go** (graças ao Starlette e Pydantic). [Um dos frameworks mais rápidos disponíveis](#performance).

    }

    /**
     * Enable or disable high performance mode for sensitive data masking
     *
     * In high performance mode, expensive regex operations are avoided by doing
     * fast string contains checks first. This significantly improves performance
     * for high-frequency logging scenarios.
     *
     * @param enable true to enable high performance mode
     */

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like:

* **Uvicorn**: an ASGI server
    * **Starlette**: (uses Uvicorn) a web microframework

///

/// check | Inspired **FastAPI** to

Find a way to have a crazy performance.

That's why **FastAPI** is based on Starlette, as it is the fastest framework available (tested by third-party benchmarks).

///

### <a href="https://falconframework.org/" class="external-link" target="_blank">Falcon</a> { #falcon }

 */

package jcifs.smb1.smb1;

import jcifs.smb1.Config;

/**
 * Buffer cache implementation for SMB1 protocol operations.
 * Manages a pool of byte buffers to reduce garbage collection overhead.
 *
 * Performance optimizations:
 * - Uses ConcurrentLinkedQueue for O(1) operations
 * - Lock-free operations for better concurrency
 * - Proper buffer validation and limits
 */
public class BufferCache {

    /**

---

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *