# Run any CI script and env configuration to bisect a failing target in some
# build configuration. You must set the following variables to control this
# script:
#
#   TF_BISECT_GOOD: Last known good commit (e.g. commit from the last passing job)
#   TF_BISECT_BAD: First bad commit (e.g. commit from the first failing job)
#   TF_BISECT_SCRIPT: The build script path relative to the TF root dir, e.g.

      - name: Create a new Github Issue
        uses: actions/github-script@d556feaca394842dc55e4734bf3bb9f685482fa0 # v6.3.3
        with:
          github-token: ${{secrets.GITHUB_TOKEN}}
          script: |
            const script = require('./.github/workflows/create_issue.js')

    ```
    cd ci/official/wheel_test
    ```
2.  Run a script for creating requirements file:
    ```
    bash update_requirements.sh <path_to_tensorflow_wheel> <python_version>
    e.g.:
    bash update_requirements.sh /tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl 3_11
    ```

#### Requirements Updater Script
This script automates the process of updating TensorFlow requirements for a
specific Python version.

# This env is only valid when RBE is available on the selected platform, since
# it enables a derived --config setting.  If RBE is not available (i.e. there
# is no --config setting), bazel would fail and quit. This script does a quick
# check This script checks for such errors early
if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then
  cat <<EOF
ERROR: RBE was enabled via the 'rbe' env in the 'TFCI' variable.
       TFCI: $TFCI

build/installation issues on GitHub.

-   type: markdown
    attributes:
      value: |

To regenerate them, run the script in this directory, `update_cpp_ops.sh`, with
no arguments. This script will overwrite the existing ops in-place at
***tensorflow/c/experimental/ops/\*_ops.{cc,h}***.

Run this `update_cpp_ops.sh` script when Op definitions change in the registry.

To generate additional operators, extend the lists in this script. Note that

********************************************************************************

## TensorFlow's Official CI and Build/Test Scripts

TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
system, Kokoro, schedules our CI jobs by combining a build script with a file
from the `envs` directory that is filled with configuration options:

-   Nightly jobs (Run nightly on the `nightly` branch)

  python3 \
    "$TFCI_GIT_DIR/ci/official/utilities/extract_resultstore_links.py" \
    "$TFCI_OUTPUT_DIR/script.log" \
    --print \
    --xml-out-path "$XML_PATH" || resultstore_extract_fallback
}

if grep -q "Streaming build results to" "$TFCI_OUTPUT_DIR/script.log"; then
  resultstore_extract || resultstore_extract_fallback

      - name: Trusted-Partners-PR
        uses: actions/github-script@d556feaca394842dc55e4734bf3bb9f685482fa0 # v6.3.3
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
            const script = require('./.github/workflows/trusted_partners.js');
            const username = context.payload.pull_request.user.login;
            const domain = await script.get_email_domain({github, username});
            switch(domain) {

# limitations under the License.
# ==============================================================================
# This script dumps some information about the environment. It's most useful
# for verifying changes to the TFCI scripts system, and most users won't need
# to interact with it at all.
source "${BASH_SOURCE%/*}/utilities/setup.sh"

echo "==TFCI== env outside of tfrun:"
env