permissions: {}

jobs:
  check_pull_metadata:
    permissions:
      issues: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      # Check that PRs have proper metadata: labels and milestone
      # https://github.com/gradle/issue-management-action/blob/main/src/pull-metadata.ts

if [[ "$TFCI_DOCKER_PULL_ENABLE" == 1 ]]; then
  # Simple retry logic for docker-pull errors. Sleeps if a pull fails.
  # Pulling an already-pulled container image will finish instantly, so
  # repeating the command costs nothing.
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 15
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 30
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 60
  docker pull "$TFCI_DOCKER_IMAGE"
fi 

* Fai click sul pulsante "Try it out", che ti permette di inserire i parametri per interagire direttamente con l'API:

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

* Successivamente, premi sul pulsante "Execute". L'interfaccia utente comunicherà con la tua API, invierà i parametri, riceverà i risultati della richiesta, e li mostrerà sullo schermo:

            String[] alphabets;
            if (i + 1 < text.length() && convertMap.get(text.substring(i, i + 2)) != null) {
                alphabets = convertMap.get(text.substring(i, i + 2));
                i += 2;
            } else {
                if (convertMap.get(text.substring(i, i + 1)) != null) {
                    alphabets = convertMap.get(text.substring(i, i + 1));
                } else {

#!/bin/bash
set -e

# Script to update Gradle wrapper and create a pull request
# 
# Usage:
#   ./update_wrapper_and_create_pr.sh [wrapper_version]
#
# Arguments:
#   wrapper_version - The Gradle version to update the wrapper to
# 
# Environment variables:
#   DEFAULT_BRANCH  - The default branch to create the pull request on (e.g. "master"/"release")
#   GITHUB_TOKEN    - GitHub bot token

export MODE="$1"
export ACCESS_KEY="$2"
export SECRET_KEY="$3"
export JOB_NAME="$4"
export MINT_MODE="full"

docker system prune -f || true
docker volume prune -f || true
docker volume rm $(docker volume ls -f dangling=true) || true

## change working directory
cd .github/workflows/mint

## always pull latest
docker pull docker.io/minio/mint:edge

docker-compose -f minio-${MODE}.yaml up -d
sleep 1m

// indicates if this is the last version.
func (x *xlMetaV2) DeleteVersion(fi FileInfo) (string, error) {
	// This is a situation where versionId is explicitly
	// specified as "null", as we do not save "null"
	// string it is considered empty. But empty also
	// means the version which matches will be purged.
	if fi.VersionID == nullVersionID {
		fi.VersionID = ""
	}

	var uv uuid.UUID

Note that objects with `null` versions, i.e. objects created prior to enabling versioning break the immutability guarantees provided by versioning. When existing object replication is enabled, these objects will be replicated as `null` versions to the remote targets provided they are not present on the target or if `null` version of object on source is newer than the `null` version of object on target.

pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After
the change has been submitted internally, your pull request will be merged
automatically on GitHub.

If you want to contribute, start working through the TensorFlow codebase,

Using it led to the creation of several Flask full-stack generators. These are the main stacks I (and several external teams) have been using up to now:

* <a href="https://github.com/tiangolo/full-stack" class="external-link" target="_blank">https://github.com/tiangolo/full-stack</a>
* <a href="https://github.com/tiangolo/full-stack-flask-couchbase" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-flask-couchbase</a>