* The ScaleIO volume plugin can now read the SDC GUID value as node label scaleio.sdcGuid; if binary drv_cfg is not installed, the plugin will still work properly; if node label not found, it defaults to drv_cfg if installed. ([#50780](https://github.com/kubernetes/kubernetes/pull/50780), [@vladimirvivien](https://github.com/vladimirvivien))

fi

# "TFCI_MACOS_PYENV_INSTALL_ENABLE" controls whether to use Pyenv to install
# the Python version set in "TFCI_PYTHON_VERSION" and use it as default.
# We enable this in the nightly and release builds because before uploading the
# wheels, we install them in a virtual environment and run some smoke tests on
# it. TFCI Mac VMs only have one Python version installed so we need to install
# the other versions manually.

### Overview

- [istio-cni Helm chart](../manifests/charts/istio-cni/templates)
    - `install-cni` daemonset - main function is to install and help the node CNI, but it is also a proper server and interacts with K8S, watching Pods for recovery.
    - `istio-cni-config` configmap with CNI plugin config to add to CNI plugin chained config

.vagrant
network_closure.sh

# Local cluster env variables
/cluster/env.sh

# Compiled binaries in third_party
/third_party/pkg

# Also ignore etcd installed by hack/install-etcd.sh
/third_party/etcd*
/default.etcd

# Also ignore protoc installed by hack/install-protoc.sh
/third_party/protoc*

# User cluster configs
.kubeconfig

.tags*

# Version file for dockerized build
.dockerized-kube-version-defs

      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

/// info | Informação

Para receber arquivos enviados, primeiro instale o <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Garanta que você criou um [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, o ativou e então o instalou, por exemplo:

```console
$ pip install python-multipart
```

  ls -sh *.whl
  exit 2
fi

# Quick install checks
venv=$(mktemp -d)
"python${TFCI_PYTHON_VERSION}" -m venv "$venv"
python="$venv/bin/python3"
# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  "$python" -m pip install numpy==1.26.0
fi
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS

# extglob is necessary for @(a|b) pattern matching
# see "extglob" in the bash manual page ($ man bash)
bash -O extglob -c "/$1/bin/pip install $2"

## Prerequisites

Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).

## Run Standalone MinIO on Docker

  else
    echo curl is not installed, will try wget for downloading files.
  fi

  # Try wget.
  if command -v wget > /dev/null; then
    DOWNLOAD_COMMAND="wget -qO -"
    return
  fi
  echo wget is not installed.

  echo Error: curl is not installed or does not support https, wget is not installed. \
       Cannot download envoy. Please install wget or add support of https to curl.
  exit 1
}