std::vector<std::pair<string, string>> grads;
  for (const tensorflow::GradientDef& grad : graph_def.library().gradient()) {
    grads.emplace_back(grad.function_name(), grad.gradient_func());
  }
  std::sort(grads.begin(), grads.end());
  return grads;
}

std::vector<string> GetFuncNames(const tensorflow::GraphDef& graph_def) {
  std::vector<string> names;
  auto functions = graph_def.library().function();

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"context"
	"encoding/json"
	"errors"
	"fmt"
	"io"
	"os"
	"slices"
	"sort"
	"strings"
	"sync"
	"time"

	"github.com/dustin/go-humanize"
	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio-go/v7/pkg/set"
	"github.com/minio/minio/internal/config"
	"github.com/minio/pkg/v3/env"

mapreduce.reduce.shuffle.merge.percent=0.9 # Minimum % merges in RAM
mapreduce.reduce.speculative=false # Disable speculation for reducing
mapreduce.task.io.sort.factor=999 # Threshold before writing to disk
mapreduce.task.sort.spill.percent=0.9 # Minimum % before spilling to disk
```

```
export MINIO_IDENTITY_TLS_ENABLE=on
```

## Example

MinIO exposes a custom S3 STS API endpoint as `Action=AssumeRoleWithCertificate`. A client has to send an HTTP `POST` request to `https://<host>:<port>?Action=AssumeRoleWithCertificate&Version=2011-06-15`. Since the authentication and authorization happens via X.509 certificates the client has to send the request over **TLS** and has to provide
a client certificate.

  private static long fingerprint(byte[] bytes, int length) {
    return HASH_FN.hashBytes(bytes, 0, length).asLong();
  }

  /**
   * Tests that the Java port of Fingerprint2011 provides the same results on buffers up to 800
   * bytes long as the original implementation in C++. See http://cl/106539598
   */
  public void testMultipleLengths() {
    int iterations = 800;

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

## Créer le code **FastAPI**.

* Créer un répertoire `app` et y entrer.
* Créez un fichier `main.py` avec :

```Python
from typing import Optional

from fastapi import FastAPI

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

<span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
```

</div>

/// note | Nota

O comando `uvicorn main:app` refere-se a:

```

</div>

////

//// tab | `uvicorn`

Si prefieres usar el comando `uvicorn` directamente:

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 8080 --workers 4
<font color="#A6E22E">INFO</font>:     Uvicorn running on <b>http://0.0.0.0:8080</b> (Press CTRL+C to quit)
<font color="#A6E22E">INFO</font>:     Started parent process [<font color="#A1EFE4"><b>27365</b></font>]

* The formerly publicly-available cAdvisor web UI that the kubelet ran on port 4194 by default is now turned off by default. The flag configuring what port to run this UI on `--cadvisor-port` was deprecated in v1.10. Now the default is `--cadvisor-port=0`, in other words, to not run the web server. If you still need to run cAdvisor, the recommended way to run it is via a DaemonSet. Note that the `--cadvisor-port` will be removed in v1.12 ([#63881](https://github.com/kubernetes/kubernetes/pull/63881),...

 * classloading capability - remote resolution of dependencies - do we want a model for sharing
 * information among plugins, is this more like an extension point - do we need a sort of bus for
 * application data - do we need a dictionary for our applications like Apple does. We could easily
 * hook into this and this is the model we need to follow - how many of our REST services do not map