secret can then be passed to Helm using a values file or the `--set` parameter: ``` trustedCertsSecret: "minio-trusted-certs" or --set trustedCertsSecret=minio-trusted-certs ``` ### Create buckets after install Install the chart, specifying the buckets you want to create after install: ```bash helm install --set buckets[0].name=bucket1,buckets[0].policy=none,buckets[0].purge=false minio/minio ``` Description of the configuration parameters used above - - `buckets[].name` - name of the bucket to create,...

secret can then be passed to Helm using a values file or the `--set` parameter: ``` trustedCertsSecret: "minio-trusted-certs" or --set trustedCertsSecret=minio-trusted-certs ``` ### Create buckets after install Install the chart, specifying the buckets you want to create after install: ```bash helm install --set buckets[0].name=bucket1,buckets[0].policy=none,buckets[0].purge=false minio/minio ``` Description of the configuration parameters used above - - `buckets[].name` - name of the bucket to create,...

There are utilities to configure it easily that you can use directly in your **FastAPI** application (provided by Starlette).

## Install dependencies { #install-dependencies }

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and install `jinja2`:

<div class="termy">

```console
$ pip install jinja2

---> 100%
```

</div>

## Using `Jinja2Templates` { #using-jinja2templates }

Якщо ви не хочете мати ці необов’язкові залежності, натомість можете встановити `pip install fastapi`.

secret can then be passed to Helm using a values file or the `--set` parameter: ``` trustedCertsSecret: "minio-trusted-certs" or --set trustedCertsSecret=minio-trusted-certs ``` ### Create buckets after install Install the chart, specifying the buckets you want to create after install: ```bash helm install --set buckets[0].name=bucket1,buckets[0].policy=none,buckets[0].purge=false minio/minio ``` Description of the configuration parameters used above - - `buckets[].name` - name of the bucket to create,...

  ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

# Install pip
wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip
/usr/bin/$VERSION -m pip install -U setuptools


# For Python 3.13t, do not install twine as it does not have pre-built wheels

        "package", "org.apache.maven.plugins:maven-rar-plugin:" + RAR_PLUGIN_VERSION + ":rar",
        "install", "org.apache.maven.plugins:maven-install-plugin:" + INSTALL_PLUGIN_VERSION + ":install",
        "deploy", "org.apache.maven.plugins:maven-deploy-plugin:" + DEPLOY_PLUGIN_VERSION + ":deploy"
    };
    // END SNIPPET: rar

    @Inject

          Security.insertProviderAt(BouncyCastleJsseProvider(), 2)
        } else if (platformSystemProperty == CORRETTO_PROPERTY) {
          AmazonCorrettoCryptoProvider.install()

          AmazonCorrettoCryptoProvider.INSTANCE.assertHealthy()
        }

        Platform.resetForTests()

        System.err.println("Running Tests with ${Platform.get().javaClass.simpleName}")
      }

      @JvmStatic

can then be passed to Helm using a values file or the `--set` parameter: ``` trustedCertsSecret: "minio-trusted-certs" or --set trustedCertsSecret=minio-trusted-certs ``` Create buckets after install ---------- Install the chart, specifying the buckets you want to create after install: ```bash helm install --set buckets[0].name=bucket1,buckets[0].policy=none,buckets[0].purge=false minio/minio ``` Description of the configuration parameters used above - - `buckets[].name` - name of the bucket to create,...

# TensorFlow C API

- See [www.tensorflow.org/install/lang_c](https://www.tensorflow.org/install/lang_c)
- Nightly builds:
  - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz)
  - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)