Australia/Lindeman Australia/Lord_Howe Australia/Melbourne Australia/NSW Australia/North Australia/Perth Australia/Queensland Australia/South Australia/Sydney Australia/Tasmania Australia/Victoria Australia/West Australia/Yancowinna Brazil/Acre Brazil/DeNoronha Brazil/East Brazil/West CET CST6CDT Canada/Atlantic Canada/Central Canada/Eastern Canada/Mountain Canada/Newfoundland Canada/Pacific Canada/Saskatchewan Canada/Yukon Chile/Continental Chile/EasterIsland Cuba EET EST EST5EDT Egypt Eire Etc/GMT Etc/GMT+0...

When translating documentation into Portuguese, use neutral and widely understandable language. Although Portuguese originated in Portugal and has its largest number of speakers in Brazil, it is also an official language in several countries and regions, such as Equatorial Guinea, Mozambique, Angola, Cape Verde, and São Tomé and Príncipe. Avoid words or expressions that are specific to a single country or region.

    requirements_lock = "//:requirements_lock_{}.txt".format(python_version.replace(".", "_")),
    whl_modifications = {
        "@pypi_mods//:numpy.json": "numpy",  # @pypi_mods is defined in XLA's MODULE.bazel
    },
) for python_version in [
    "3.10",
    "3.11",
    "3.12",
    "3.13",
]]

use_repo(pip, "pypi_mods", pypi = "tf_pypi")

Adrian Kuegel <******@****.***> 1774264389 -0700

# TODO(b/173549186): Move Google-internal TF code out of learning/brain
package_group(
    name = "internal",
    packages = [
        "//devtools/python/indexer/...",
        "//learning/brain/keras/...",
        "//learning/brain/mlir/...",
        "//learning/brain/tfrt/...",
        "//learning/lib/ami/simple_ml/...",
        "//learning/pathways/...",

# Install various tools.
# - bats: bash unit testing framework
# - bazelisk: always use the correct bazel version
# - buildifier: clean bazel build deps
# - buildozer: clean bazel build deps
# - gcloud SDK: communicate with Google Cloud Platform (GCP) for RBE, CI
# - patchelf: Utility tool to modify existing ELF executables and libraries

you wish the updater to consider pre-release versions simply pass `--pre`
argument to the bazel command:

```
bazel run //ci/official/requirements_updater:requirements.update --repo_env=HERMETIC_PYTHON_VERSION=3.12 -- --pre
```

If you need to upgrade all of the packages in requirements lock file, just pass
the `--upgrade` parameter:

```

# limitations under the License.
# ==============================================================================
setup_file() {
    bazel version  # Start the bazel server
}

# Do a bazel query specifically for the licenses checker. It searches for
# targets matching the provided query, which start with // or @ but not
# //tensorflow (so it looks for //third_party, //external, etc.), and then

# Repacks libtensorflow tarballs into $DIR with provided $TARBALL_SUFFIX.

DIR=$1
mkdir -p "$DIR"
TARBALL_SUFFIX=$2

if [[ $(uname -s) != MSYS_NT* ]]; then
  cp bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz "${DIR}/libtensorflow${TARBALL_SUFFIX}.tar.gz"
  cp bazel-bin/tensorflow/tools/lib_package/libtensorflow_proto.zip "${DIR}"
else
  # Temporary directory for package zipping
  LIB_PKG="$DIR/lib_package"
  mkdir -p ${LIB_PKG}

fi

if [[ $TFCI_PYCPP_SWAP_TO_BUILD_ENABLE == 1 ]]; then
  tfrun bazel $TFCI_BAZEL_BAZELRC_ARGS build $TFCI_BAZEL_COMMON_ARGS --profile "$PROFILE_JSON_PATH" --@local_config_cuda//cuda:override_include_cuda_libs=true --config=hermetic_cuda_umd --config="${TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX}_pycpp_test"
else