"@local_config_cuda//cuda:FALSE",
    ),
)

selects.config_setting_group(
    name = "is_cuda_nvcc",
    match_all = [
        ":is_cuda_enabled",
        ":is_cuda_compiler_nvcc",
    ],
)

# Config setting that is satisfied when building with --config=cuda in OSS.
selects.config_setting_group(
    name = "is_cuda_enabled_and_oss",
    match_all = [

     * @return the logger instance
     */
    @Override
    public Logger getLogger() {
        return logger;
    }

    /**
     * Gets the appropriate extractor for the given response data.
     * Selects an extractor based on the MIME type of the file.
     *
     * @param responseData the response data containing the file to extract
     * @return the extractor instance for processing the file

# Description:
# C API for TensorFlow, for use by client language bindings.

load("@bazel_skylib//lib:selects.bzl", "selects")
load("@local_config_tensorrt//:build_defs.bzl", "if_tensorrt")
load("@local_xla//xla/tsl/platform:build_config_root.bzl", "if_pywrap")
load("@local_xla//xla/tsl/platform:rules_cc.bzl", "cc_library")
load(
    "//tensorflow:tensorflow.bzl",
    "check_deps",
    "if_google",
    "if_not_mobile",
    "tf_cc_test",

 *
 * <p>{@link org.apache.maven.api.Artifact} instances represent artifacts in the repository.
 * They are created when <dfn>resolving</dfn> an {@code ArtifactCoordinates} object. Resolving is the process
 * that selects a particular version and downloads the artifact into the local repository.
 * The {@link org.apache.maven.api.DownloadedArtifact} sub-interface is used when

     * @return the logger instance
     */
    @Override
    public Logger getLogger() {
        return logger;
    }

    /**
     * Gets the appropriate extractor for the given response data.
     * Selects an extractor based on the MIME type or falls back to the Tika extractor.
     *
     * @param responseData the response data containing the document to extract
     * @return the extractor instance for processing the document

# specified".
common:cross_compile_macos_x86 --extra_toolchains=//tensorflow/tools/toolchains/cross_compile/config:macos-x86-cross-compile-cc-toolchain
# Map --platforms=darwin_x86_64 to --cpu=darwin and vice-versa to make selects()
# and transistions that use these flags work.
common:cross_compile_macos_x86 --platform_mappings=tensorflow/tools/toolchains/cross_compile/config/platform_mappings

# RBE cross-compile configs for Darwin x86

        }

        private List<String> prependWithColonIfNeeded(String[] selectors) {
            return Arrays.stream(selectors).map(this::prependWithColonIfNeeded).collect(toList());
        }

        private String prependWithColonIfNeeded(String selector) {
            return selector.indexOf(':') == -1 ? ":" + selector : selector;
        }
    }

t1.Equal(&t2) & t3.Equal(&t4) } // Constant-time operations // Select sets v to a if cond == 1 and to b if cond == 0. func (v *projCached) Select(a, b *projCached, cond int) *projCached { v.YplusX.Select(&a.YplusX, &b.YplusX, cond) v.YminusX.Select(&a.YminusX, &b.YminusX, cond) v.Z.Select(&a.Z, &b.Z, cond) v.T2d.Select(&a.T2d, &b.T2d, cond) return v } // Select sets v to a if cond == 1 and to b if cond == 0. func (v *affineCached) Select(a, b *affineCached, cond int) *affineCached { v.YplusX.Select(&a.YplusX,...

            -h${{ env.DB_HOST }} \
            -e '
            USE results;
            DELETE FROM testOperation WHERE testExecution IN (SELECT id FROM testExecution WHERE startTime < NOW() - INTERVAL 365 DAY);
            DELETE FROM testExecution WHERE startTime < NOW() - INTERVAL 365 DAY;
            SELECT "results.testExecution count:" as database_table, COUNT(*) as stale_records FROM testExecution WHERE startTime < NOW() - INTERVAL 365 DAY;

						><la:message key="labels.advance_search_timestamp_pastyear" /></option>
					</select>
				</div>
			</div>
			<div class="mb-3 row">
				<label for="as_filetype" class="col-lg-3 col-md-4 col-sm-5 col-12 col-form-label"><la:message
						key="labels.advance_search_filetype"
					/></label>
				<div class="col-lg-5 col-md-8 col-sm-7 col-6">