}

  /**
   * Returns an immutable array containing the given values, in order.
   *
   * <p><b>Performance note:</b> this method delegates to {@link #copyOf(Collection)} if {@code
   * values} is a {@link Collection}. Otherwise it creates a {@link #builder} and uses {@link
   * Builder#addAll(Iterable)}, with all the performance implications associated with that.
   */
  public static ImmutableLongArray copyOf(Iterable<Long> values) {

  }

  /**
   * Returns an immutable array containing the given values, in order.
   *
   * <p><b>Performance note:</b> this method delegates to {@link #copyOf(Collection)} if {@code
   * values} is a {@link Collection}. Otherwise it creates a {@link #builder} and uses {@link
   * Builder#addAll(Iterable)}, with all the performance implications associated with that.
   */
  public static ImmutableIntArray copyOf(Iterable<Integer> values) {

[main]
summary=Maximum server performance for MinIO

[vm]
transparent_hugepage=madvise

[sysfs]
/sys/kernel/mm/transparent_hugepage/defrag=defer+madvise
/sys/kernel/mm/transparent_hugepage/khugepaged/max_ptes_none=0

[cpu]
force_latency=1
governor=performance
energy_perf_bias=performance
min_perf_pct=100

[sysctl]
fs.xfs.xfssyncd_centisecs=72000
net.core.busy_read=50
net.core.busy_poll=50
kernel.numa_balancing=1

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

```

Create a file `testobject` with some test data that will be transformed
```
cat > testobject << EOF
MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
EOF
```

Upload this object to the bucket via `mc cp`

	cli.BoolFlag{
		Name:   "compat",
		Usage:  "enable strict S3 compatibility by turning off certain performance optimizations",
		Hidden: true,
	},
	// This flag is hidden and to be used only during certain performance testing.
	cli.BoolFlag{
		Name:   "no-compat",
		Usage:  "disable strict S3 compatibility by turning on certain performance optimizations",
		Hidden: true,
	},
}

// Help template for minio.

Especificamente, observa-se Uvicorn, Starlette e FastAPI comparados juntos (entre muitas outras ferramentas).

Quanto mais simples o problema resolvido pela ferramenta, melhor a performance que ela terá. E a maioria dos _benchmarks_ não testam as características adicionais fornecidas pela ferramenta.

A hierarquia segue assim:

* **Uvicorn**: um servidor ASGI

 * The size and frequency of the HTTP calls your application makes. If you’re making too many calls, or your calls are too large, you should know about it!
 * The performance of these calls on the underlying network. If the network’s performance isn’t sufficient, you need to either improve the network or use less of it.

### EventListener

### Infrastructure
- Windows Server test lab
- RDMA-capable test hardware
- Continuous integration environment
- Performance testing infrastructure

## Success Metrics

1. **Functional Completeness**: All features pass Windows Protocol Test Suite
2. **Performance**: 
   - Multi-channel provides >1.5x throughput improvement
   - RDMA reduces latency by >50%
3. **Reliability**: 

Build/Install - Performance - Support - Feature Request - Documentation Feature
Request - Documentation Bug - Others validations: required: true - type:
markdown attributes: value: | Please make sure that this is a bug. As per our
[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we
only address code/doc bugs, performance issues, feature requests and
build/installation issues on GitHub.