# ==============================================================================

name: Upload SIG Build docker containers regularly

on:
  workflow_dispatch:
  schedule:
      # Run once a week on Sunday at midnight. See http://crontab.guru
      - cron: '0 0 * * 0'
  push:
    paths:
      - '.github/workflows/sigbuild-docker.yml'
      - 'tensorflow/tools/tf_sig_build_dockerfiles/**'

labels: [ "a:bug", "to-triage" ]
assignees: [ ]
body:
  - type: markdown
    attributes:
      value: |
        Please follow the instructions below.
        We receive dozens of issues every week, so to stay productive, we will close issues that don't provide enough information.

        If you need help with Gradle or have a usage question, please reach [our community](http://help.gradle.org/) instead of creating an issue.

    /**
     * Get the value for the key 'time.adjust.time.millis'. <br>
     * The value is, e.g. 0 <br>
     * comment: <br>
     * one day: 86400000, three days: 259200000, five days: 432000000, one week: 604800000, one year: 31556926000<br>
     * special script :: absolute mode: $(2014/07/10), relative mode: addDay(3).addMonth(4)<br>

name: Test

on:
  push:
    branches:
      - master
  pull_request:
    types:
      - opened
      - synchronize
  schedule:
    # cron every week on monday
    - cron: "0 0 * * 1"

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"

for publication.

This document outlines getting in new features after a new branch has been cut and the process for getting a PR
merged in before and after the first public release.

# Feature Freeze

One week before a release, the release branch goes into a state of code freeze. At this point only critical release
blocking bugs are addressed. Additional changes that are targeted for new features and capabilities will not be merged.

    READY_FOR_RELEASE("Ready for Release", "Once a day: Rerun tests in more environments", "ReadyforRelease"),
    WEEKLY_VALIDATION("Weekly Validation", "Once a week: Run tests in even more environments but less often", "WeeklyValidation"),
    HISTORICAL_PERFORMANCE("Historical Performance", "Once a week: Run performance tests for multiple Gradle versions", "HistoricalPerformance"),

		lastUpdate:   metaCacheTestsetTimestamp.Add(-1 * time.Minute),
		lastHandout:  metaCacheTestsetTimestamp,
		dataVersion:  metacacheStreamVersion,
	},
	8: {
		id:           "case-8-finished-a-week-ago",
		bucket:       "bucket",
		root:         "folder/finished",
		recursive:    false,
		status:       scanStateSuccess,
		fileNotFound: false,
		error:        "",

That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.

labels.search_result_cache=Cache
labels.search_result_similar=Similar Results ({0})
labels.facet_label_title=Label
labels.facet_timestamp_title=Date Range
labels.facet_timestamp_1day=Past 24 Hours
labels.facet_timestamp_1week=Past Week
labels.facet_timestamp_1month=Past Month
labels.facet_timestamp_1year=Past Year
labels.facet_timestamp_3month=Past 3 Months
labels.facet_timestamp_6month=Past 6 Months
labels.facet_timestamp_2year=Past 2 Years

labels.search_result_cache=Cache
labels.search_result_similar=Similar Results ({0})
labels.facet_label_title=Label
labels.facet_timestamp_title=Date Range
labels.facet_timestamp_1day=Past 24 Hours
labels.facet_timestamp_1week=Past Week
labels.facet_timestamp_1month=Past Month
labels.facet_timestamp_1year=Past Year
labels.facet_timestamp_3month=Past 3 Months
labels.facet_timestamp_6month=Past 6 Months
labels.facet_timestamp_2year=Past 2 Years