"performanceTestFlakinessReport"
                } else {
                    "performanceTestReport"
                }

            artifactRules = """
testing/$performanceProjectName/build/performance-test-results.zip
"""
            if (performanceTestProject.performanceTests.any { it.testProjects.isNotEmpty() }) {
                val dependencyBuildIds =

# Copyright 2024 The Go Authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.

# Rules for building and testing new FIPS snapshots.
# For example:
#
#	make v1.2.3.zip
#	make v1.2.3.test
#
# and then if changes are needed, check them into master
# and run 'make v1.2.3.rm' and repeat.
#
# Note that once published a snapshot zip file should never

    tar zxf - google-cloud-sdk && \
    google-cloud-sdk/install.sh --quiet
ENV PATH="$PATH:/google-cloud-sdk/bin/"

# Install various tools.
# - bats: bash unit testing framework
#         NOTE: v1.6.0 seems to have a bug that made "git" in setup_file break
# - bazelisk: always use the correct bazel version

pkg syscall, type RawConn interface, Read(func(uintptr) bool) error
pkg syscall, type RawConn interface, Write(func(uintptr) bool) error
pkg testing, method (*B) Helper()
pkg testing, method (*T) Helper()
pkg testing, type TB interface, Helper()
pkg time, method (Duration) Round(Duration) Duration

  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.
# This aims to maintain TF compatibility with NumPy 1.x until 2025 b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  # Uninstall tf nightly wheel built with numpy1.
  "$python" -m pip uninstall -y tf_nightly_numpy1

RUN if [ -e "/usr/local/cuda/compat/libcuda.so.1" ]; then ln -s /usr/local/cuda/compat/libcuda.so.1 /usr/lib/x86_64-linux-gnu/libcuda.so.1; fi

# 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

 * Tests the abstract transformer implementation and its name management functionality.
 */
public class AbstractTransformerTest extends PlainTestCase {

    /**
     * Concrete implementation of AbstractTransformer for testing
     */
    public static class TestTransformer extends AbstractTransformer {
        private int transformCallCount = 0;
        private ResponseData lastResponseData = null;

        build/reports/configuration-cache/**/configuration-cache-report.html
        subprojects/internal-build-reports/build/reports/incubation/all-incubating.html => incubation-reports
        testing/architecture-test/build/reports/binary-compatibility/report.html => binary-compatibility-reports
        build/reports/dependency-verification/** => dependency-verification-reports
        build/reports/problems/problems-report.html

    }

    private fun shortenSubprojectName(
        prefix: String,
        subProjectName: String,
    ): String {
        val shortenedSubprojectName = subProjectName.replace("internal", "i").replace("Testing", "T")
        if (shortenedSubprojectName.length + prefix.length <= 80) {
            return shortenedSubprojectName
        }
        return shortenedSubprojectName.replace(Regex("[aeiou]"), "")
    }

// Sets XLA's minimum cluster size. This has global effect.
TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size);

// Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant
// folding. This is for testing to ensure that XLA is being tested rather than
// Tensorflow's CPU implementation through constant folding.
TF_CAPI_EXPORT unsigned char TF_GetXlaConstantFoldingDisabled();
TF_CAPI_EXPORT void TF_SetXlaConstantFoldingDisabled(