cloud.google.com/go/iam v1.1.7 h1:z4VHOhwKLF/+UYXAJDFwGtNF0b6gjsW1Pk9Ml0U/IoM=
cloud.google.com/go/iam v1.1.7/go.mod h1:J4PMPg8TtyurAUvSmPj8FF3EDgY1SPRZxcUGrn7WXGA=
cloud.google.com/go/storage v1.40.0 h1:VEpDQV5CJxFmJ6ueWNsKxcr1QAYOXEgxDa+sBbJahPw=
cloud.google.com/go/storage v1.40.0/go.mod h1:Rrj7/hKlG87BLqDJYtwR0fbPld8uJPbQ2ucUMY7Ir0g=
filippo.io/edwards25519 v1.1.0 h1:FNf4tywRC1HmFuKW5xopWpigGjJKiJSV0Cqo0cJWDaA=

 *  New: Use TLSv1.3 when running on JDK 8u261 or newer.
 *  New: `QueueDispatcher.clear()` may be used to reset a MockWebServer instance.
 *  New: `FileDescriptor.toRequestBody()` may be particularly useful for users of Android's Storage
    Access Framework.
 *  Upgrade: [Kotlin 1.5.31][kotlin_1_5_31].
 *  Upgrade: [Okio 3.0.0][okio_3_0_0].


## Version 5.0.0-alpha.2

_2021-01-30_

    try {
      editor?.abort()
    } catch (_: IOException) {
    }
  }

  /**
   * Initialize the cache. This will include reading the journal files from the storage and building
   * up the necessary in-memory cache information.
   *
   * The initialization time may vary depending on the journal file size and the current actual

build:tf_public_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/january2024" --remote_upload_local_results=false
# Cache pushes are limited to TF's CI system.
build:tf_public_cache_push --config=tf_public_cache --remote_upload_local_results=true --google_default_credentials
# Public cache for macOS builds

Flask is a "microframework", it doesn't include database integrations nor many of the things that come by default in Django.

This simplicity and flexibility allow doing things like using NoSQL databases as the main data storage system.

As it is very simple, it's relatively intuitive to learn, although the documentation gets somewhat technical at some points.

$(foreach bin,$(BINARIES),${LOCAL_OUT}/$(shell basename $(bin))): build
endif

MARKDOWN_LINT_ALLOWLIST=localhost:8080,storage.googleapis.com/istio-artifacts/pilot/,http://ratings.default.svc.cluster.local:9080/ratings

lint-helm-global:
	find manifests -name 'Chart.yaml' -print0 | ${XARGS} -L 1 dirname | xargs -r helm lint

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

================================================================

cloud.google.com/go/storage
https://cloud.google.com/go/storage
----------------------------------------------------------------

                                 Apache License
                           Version 2.0, January 2004

        behavior, set `inject_prefetch=True` in
        `tf.data.experimental.OptimizationOptions`.
    *   Added a new value to `tf.data.Options.autotune.autotune_algorithm`:
        `STAGE_BASED`. If the autotune algorithm is set to `STAGE_BASED`, then
        it runs a new algorithm that can get the same performance with lower
        CPU/memory usage.
    *   Added

/**
 * Define clean up rules for the project.
 * See https://www.jetbrains.com/help/teamcity/teamcity-data-clean-up.html#Clean-up+Rules
 *
 * @param historyDays days number of days to store build history .
 * @param artifactsDays number of days to store artifacts. In the stored history, artifacts older than this number will be cleaned up.
 * @param artifactPatterns patterns for artifacts clean-up. If not specified, all artifacts will be removed.
 */

If you have ktlint errors, you can automatically fix them by running `mvn com.github.gantsign.maven:ktlint-maven-plugin:1.1.1:format`.

## How the configuration works

We use Kotlin portable DSL to store TeamCity configuration, which means you can easily create a new pipeline
based on a specific branch. Currently, we have two pipelines: `master` and `release`, but you can easily create
and test another isolated pipeline from any branch.