// Add small multiples of MIN_VALUE and MIN_NORMAL
    for (int scale = 1; scale <= 4; scale++) {
      for (double d : Doubles.asList(Double.MIN_VALUE, Double.MIN_NORMAL)) {
        fractionalBuilder.add(d * scale).add(-d * scale);
      }
    }
    for (int i = Double.MIN_EXPONENT; i <= Double.MAX_EXPONENT; i++) {
      for (int direction : new int[] {1, -1}) {

    // Add small multiples of MIN_VALUE and MIN_NORMAL
    for (int scale = 1; scale <= 4; scale++) {
      for (double d : Doubles.asList(Double.MIN_VALUE, Double.MIN_NORMAL)) {
        fractionalBuilder.add(d * scale).add(-d * scale);
      }
    }
    for (int i = Double.MIN_EXPONENT; i <= Double.MAX_EXPONENT; i++) {
      for (int direction : new int[] {1, -1}) {

name: Mint Tests

on:
  pull_request:
    branches:
      - master

# This ensures that previous jobs for the PR are canceled when the PR is
# updated.
concurrency:
  group: ${{ github.workflow }}-${{ github.head_ref }}
  cancel-in-progress: true

permissions:
  contents: read

jobs:
  mint-test:
    runs-on: mint
    timeout-minutes: 120
    steps:

#########################
## Config for sass-lint
#########################
# Linter Options
options:
  # Don't merge default rules
  merge-default-rules: false
  # Raise an error if more than 50 warnings are generated
  max-warnings: 500
# Rule Configuration
rules:
  attribute-quotes:
    - 2
    -
      include: false
  bem-depth: 2
  border-zero: 2
  brace-style: 2
  class-name-format: 2
  clean-import-paths: 2

Sebastián Ramírez <******@****.***> 1714435394 -0700

    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Install Helm
        uses: azure/setup-helm@v4

      - name: Run helm lint
        run: |
          cd helm/minio

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

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

Harshavardhana <******@****.***> 1726519613 -0700

Istio Automation <******@****.***> 1674674780 -0800

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

we would get a Python `dict` with:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```