---

## Instalar FastAPI

El primer paso es instalar FastAPI.

Asegúrate de crear un [entorno virtual](../virtual-environments.md){.internal-link target=_blank}, actívalo, y luego **instala FastAPI**:

<div class="termy">

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

/// note | Nota

      "FINE: Q10000 scheduled after 100 µs: task one",
      "FINE: Q10000 scheduled after 200 µs: task two",
    )
  }

  /**
   * We don't track the active task in scheduled tasks. This behavior might be a mistake, but it's
   * cumbersome to implement properly because the active task might be a cancel.
   */
  @Test fun scheduledTasksDoesNotIncludeRunningTask() {
    val task =
      object : Task("task one") {

        assertTrue(bufferManager.getTotalAllocated() > initialAllocated, "Total allocated should increase");
        assertTrue(bufferManager.getActiveRegions() > 0, "Active regions should be positive");

        // Release regions
        bufferManager.releaseSendRegion(region1);
        bufferManager.releaseReceiveRegion(region2);
    }

    @Test

                                <la:message key="labels.dict_stopwords_list_link"/>
                            </la:link></li>
                            <li class="breadcrumb-item active"><la:message
                                    key="labels.dict_stopwords_link_details"/></li>
                        </ol>
                    </div>
                </div>
            </div>
        </div>

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Active Workers",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

## Instalar `SQLModel`

Primero, asegúrate de crear tu [entorno virtual](../virtual-environments.md){.internal-link target=_blank}, actívalo, y luego instala `sqlmodel`:

<div class="termy">

```console
$ pip install sqlmodel
---> 100%
```

</div>

## Crear la App con un Solo Modelo

fs.s3a.endpoint=http://minio:9000
fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem

fs.s3a.committer.threads=2048 # Number of threads writing to MinIO
fs.s3a.connection.maximum=8192 # Maximum number of concurrent conns
fs.s3a.fast.upload.active.blocks=2048 # Number of parallel uploads
fs.s3a.fast.upload.buffer=disk # Use disk as the buffer for uploads
fs.s3a.fast.upload=true # Turn on fast upload mode
fs.s3a.max.total.tasks=2048 # Maximum number of parallel tasks

    }

    /**
     * Get current pool statistics
     * @return pool statistics string
     */
    public String getPoolStatistics() {
        return String.format("Pool statistics: Active=%d, NonPooled=%d, MaxSize=%d, Failures=%d, HealthChecks=%d, Removed=%d",
                connections.size(), nonPooledConnections.size(), maxPoolSize, failCounts.size(), totalHealthChecks.get(),

org-junit-jupiter = "5.13.4"
retrofit = "3.0.0"
startupRuntime = "1.2.0"
testcontainers = "1.21.3"

[libraries]
amazonCorretto = "software.amazon.cryptools:AmazonCorrettoCryptoProvider:2.5.0"
androidx-activity = "androidx.activity:activity-ktx:1.10.1"
androidx-annotation = "androidx.annotation:annotation:1.9.1"
androidx-espresso-core = "androidx.test.espresso:espresso-core:3.7.0"
androidx-junit = "androidx.test.ext:junit:1.3.0"

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each
  // value records whether the graph has been mutated since the corresponding
  // session has been run (this is detected in RecordMutation function). If the