if (mimetype.indexOf('powerpoint') !== -1 || mimetype.indexOf('presentation') !== -1) return 'fa-file-powerpoint-o';
            if (mimetype.indexOf('image') !== -1) return 'fa-file-image-o';
            if (mimetype.indexOf('text') !== -1) return 'fa-file-text-o';
        }

        if (url) {
            var ext = url.split('.').pop().toLowerCase().split('?')[0];

      serviceAccountName: {{ .Values.serviceAccount.name }}
      {{- end }}
      containers:
        - name: {{ .Chart.Name }}
          image: {{ .Values.image.repository }}:{{ .Values.image.tag }}
          imagePullPolicy: {{ .Values.image.pullPolicy }}
          command: [
            "/bin/sh",
            "-ce",

because of licensing issues. Any Virtualbox image that has WinRM and Powershell
enabled for remote users should work.

Specify the image IDs of the Windows boxes to gradle with the following project
properties. They can be set in `~/.gradle/gradle.properties` like

------------------------------------
vagrant.windows-2012r2.id=my-image-id
vagrant.windows-2016.id=another-image-id
------------------------------------

video/x-m4v=m4v\n\
audio/x-aif=aif\n\
audio/midi=midi\n\
audio/mpga=mpga\n\
audio/mp4=mp4a\n\
audio/ogg=oga\n\
audio/x-wav=wav\n\
image/webp=webp\n\
image/bmp=bmp\n\
image/x-icon=ico\n\
image/x-icon=ico\n\
image/png=png\n\
image/svg+xml=svg\n\
image/tiff=tiff\n\
image/jpeg=jpg\n\

# Number of documents to process per reindex operation.
index.reindex.size=100
# Request body template for reindex operations.

  venv_dir=$(cygpath -m $venv_dir)
  "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir"
  python="$venv_dir/Scripts/python.exe"
fi

# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  if [[ "$TFCI_PYTHON_VERSION" == "3.13" ]]; then
    "$python" -m pip install numpy==1.26.4
  else

var","video","wbr"]),k=i(["svg","a","altglyph","altglyphdef","altglyphitem","animatecolor","animatemotion","animatetransform","circle","clippath","defs","desc","ellipse","enterkeyhint","exportparts","filter","font","g","glyph","glyphref","hkern","image","inputmode","line","lineargradient","marker","mask","metadata","mpath","part","path","pattern","polygon","polyline","radialgradient","rect","stop","style","switch","symbol","text","textpath","title","tref","tspan","view","vkern"]),x=i(["feBlend",...

- A new kubelet metric `image_pull_duration_seconds` was added. The metric tracks the duration (in seconds) it takes for an image to be pulled, including the time spent in the waiting queue of image puller. The metric is broken down by bucketed image size. ([#121719](https://github.com/kubernetes/kubernetes/pull/121719), [@ruiwen-zhao](https://github.com/ruiwen-zhao))

- Reduces the needs of the setcap build image for kube-apiserver by no longer requiring that image to contain a shell (`sh` or `dash` or `bash`). ([#136633](https://github.com/kubernetes/kubernetes/pull/136633),...

  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.
  if [[ $(uname -s) = MSYS_NT* ]]; then
    python_bin="python"
  fi
  tfrun "$python_bin" tensorflow/tools/ci_build/update_version.py --nightly
  # replace tensorflow to tf_nightly in the wheel name

	}

	resultCases := []ObjectInfo{
		// ObjectInfo -1.
		// ObjectName set to a existing object in the test case (Test case 14).
		{Bucket: "test-getobjectinfo", Name: "Asia/asiapics.jpg", ContentType: "image/jpeg", IsDir: false},
		{Bucket: "test-getobjectinfo", Name: "Asia/empty-dir/", ContentType: "application/octet-stream", IsDir: true},
	}
	testCases := []struct {
		bucketName string
		objectName string