# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================

on:
  workflow_dispatch:  # Allow manual triggers
  schedule:
    - cron: 0 4 * * *  # 4am UTC is 9pm PDT and 8pm PST
name: Set nightly branch to master HEAD

permissions: {}

jobs:
  master-to-nightly:

)

# Compliance test for modules and for interface
tf_cc_test(
    name = "modular_filesystem_test",
    size = "small",
    srcs = ["modular_filesystem_test.cc"],
    linkopts = ["-ldl"],
    tags = [
        "manual",  # Requires DSOs as arguments, eventual setup
        "notap",  # b/139060984, requires implementing modular support for Google filesystem
    ],
    deps = [
        ":modular_filesystem",

// These tests should not be confused with `[*]_grad_test` which compare the
// result of `gradient_checker` and `[*]_grad`. The tests here test the
// functionality of `gradient_checker` by comparing the result with expected
// manual user-provided gradients.
class GradientCheckerTest
    : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> {
 protected:
  void SetUp() override {
    TF_StatusPtr status(TF_NewStatus());

        d="$${d#*external/$${extname}/}"
        d="$${d#_virtual_includes/*/}"
      fi

      mkdir -p "$@/$${d}"
      cp "$${f}" "$@/$${d}/"
    done
    """,
    tags = ["manual"],
    visibility = ["//visibility:public"],
)

# copybara:comment_begin(oss-only)
copy_file(
    name = "root_init_gen",
    src = select({
        "api_version_2": "_api/v2/v2.py",

*   `tf.experimental.StructuredTensor`

    *   Introduced `tf.experimental.StructuredTensor`, which provides a flexible
        and Tensorflow-native way to encode structured data such as protocol
        buffers or pandas dataframes.

*   `tf.keras`:

    *   Added method `get_metrics_result()` to `tf.keras.models.Model`.
        *   Returns the current metrics values of the model as a dict.

python -m venv /$1
mkdir -p $1
rm -f ./$1/tensorflow
ln -s $(ls /$1/lib) /$1/lib/python3
ln -s ../tensorflow $1/tensorflow
# extglob is necessary for @(a|b) pattern matching
# see "extglob" in the bash manual page ($ man bash)
bash -O extglob -c "/$1/bin/pip install $2"

static bool SetTmpDir(const std::string& tmp_dir_) {
  ModularFileSystemTest::SetTmpDir(tmp_dir_);
  return true;
}

}  // namespace
}  // namespace tensorflow

// Due to the usages of flags for this manual test, we need a special `main` to
// ensure our flags are parsed properly as `testing::InitGoogleTest` silently
// ignores other flags. Furthermore, we need this to ensure that the DSO is
// loaded exactly once, if provided.

  # Find all Python py_test targets not tagged "no_pip" or "manual", excluding
  # any targets in ignored packages. Combine this list of targets into a bazel
  # query list (e.g. the list becomes "target+target2+target3")

    linkstatic = False,
    tags = [
        "manual",
        "nobuilder",
        "notap",
    ],
    visibility = ["//visibility:public"],
    deps = [":windows_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(
    name = "windows_filesystem_impl",
    srcs = ["windows_filesystem.cc"],
    copts = get_win_copts(),
    tags = [
        "manual",
        "nobuilder",
        "notap",

        "//tensorflow/core/platform/cloud:now_seconds_env",
    ],
)

tf_cc_test(
    name = "gcs_filesystem_test",
    srcs = [
        "gcs_filesystem_test.cc",
    ],
    tags = [
        "manual",
        "notap",
    ],
    deps = [
        ":gcs_filesystem_impl",
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/core/platform:path",
        "//tensorflow/core/platform:stacktrace_handler",