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

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

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

# Stop two nodes, one of each pool, to check that all S3 calls work while quorum is still there
[ "${MODE}" == "pools" ] && docker-compose -f minio-${MODE}.yaml stop minio2

             docker-compose -f ${GITHUB_WORKSPACE}/.github/workflows/mint/minio-${mode}.yaml down || true
             docker-compose -f ${GITHUB_WORKSPACE}/.github/workflows/mint/minio-${mode}.yaml rm || true
          done

          docker-compose -f ${GITHUB_WORKSPACE}/.github/workflows/multipart/docker-compose-site1.yaml rm -s -f || true

    new EqualsTester()
        .addEqualityGroup(
            Suppliers.compose(Functions.constant(1), Suppliers.ofInstance("foo")),
            Suppliers.compose(Functions.constant(1), Suppliers.ofInstance("foo")))
        .addEqualityGroup(Suppliers.compose(Functions.constant(2), Suppliers.ofInstance("foo")))
        .addEqualityGroup(Suppliers.compose(Functions.constant(1), Suppliers.ofInstance("bar")))
        .testEquals();
  }

    new EqualsTester()
        .addEqualityGroup(
            Suppliers.compose(Functions.constant(1), Suppliers.ofInstance("foo")),
            Suppliers.compose(Functions.constant(1), Suppliers.ofInstance("foo")))
        .addEqualityGroup(Suppliers.compose(Functions.constant(2), Suppliers.ofInstance("foo")))
        .addEqualityGroup(Suppliers.compose(Functions.constant(1), Suppliers.ofInstance("bar")))
        .testEquals();
  }

    * Composite bodies' IDs are now based on path, not only on route name, as the auto-generated name uses the function names, that can be duplicated in different modules.
    * The same new ID generation applies to response models.
    * This also changes the generated title for those models.

---
name: TensorFlow Lite Op Request
about: Use this template for reporting Lite ops you are using or missing
labels: 'comp:lite'

---

**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installed from (source or binary):
- TensorFlow version (or github SHA if from source):


**Provide the text output from tflite_convert**

```
# Copy and paste here
```

  cd ..
fi

# SqlServer for Mac M1
if [[ -z $GITHUB_ACTION ]]; then
  if [ -d tests ]
  then
    cd tests
    if [[ $(uname -a) == *" arm64" ]]; then
      MSSQL_IMAGE=mcr.microsoft.com/azure-sql-edge docker compose up -d || true
      go install github.com/microsoft/go-sqlcmd/cmd/sqlcmd@latest || true
      SQLCMDPASSWORD=LoremIpsum86 sqlcmd -U sa -S localhost:9930 -Q "IF DB_ID('gorm') IS NULL CREATE DATABASE gorm" > /dev/null || true

    - 🦇 Dark mode support.
- 🐋 [Docker Compose](https://www.docker.com) for development and production.
- 🔒 Secure password hashing by default.
- 🔑 JWT token authentication.
- 📫 Email based password recovery.
- ✅ Tests with [Pytest](https://pytest.org).
- 📞 [Traefik](https://traefik.io) as a reverse proxy / load balancer.

- 🐋 [Docker Compose](https://www.docker.com) para desarrollo y producción.
- 🔒 Hashing seguro de contraseñas por defecto.
- 🔑 Autenticación con token JWT.
- 📫 Recuperación de contraseñas basada en email.
- ✅ Tests con [Pytest](https://pytest.org).
- 📞 [Traefik](https://traefik.io) como proxy inverso / balanceador de carga.

# To run locally an OpenLDAP instance using Docker
# $ docker-compose -f ldap.yaml up -d
version: '3.7'

services:
  openldap:
    image: quay.io/minio/openldap
    ports:
      - "389:389"
      - "636:636"
    environment:
      LDAP_ORGANIZATION: "MinIO Inc"
      LDAP_DOMAIN: "min.io"