}
}

func TestFromWithJoins(t *testing.T) {
	var result User

	newDB := DB.Session(&gorm.Session{NewDB: true, DryRun: true}).Table("users")

	newDB.Clauses(
		clause.From{
			Tables: []clause.Table{{Name: "users"}},
			Joins: []clause.Join{
				{
					Table: clause.Table{Name: "companies", Raw: false},
					ON: clause.Where{
						Exprs: []clause.Expression{
							clause.Eq{

  }

  /**
   * Applies a supplemental hash function to a given hash code, which defends against poor quality
   * hash functions. This is critical when the concurrent hash map uses power-of-two length hash
   * tables, that otherwise encounter collisions for hash codes that do not differ in lower or upper
   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {

        size(), Spliterator.ORDERED | Spliterator.NONNULL | Spliterator.DISTINCT, this::getCell);
  }

  private Cell<R, C, @Nullable V> getCell(int index) {
    return new Tables.AbstractCell<R, C, @Nullable V>() {
      final int rowIndex = index / columnList.size();
      final int columnIndex = index % columnList.size();

      @Override
      public R getRowKey() {

* <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank">ReDoc</a>

Estas dos fueron elegidas por ser bastante populares y estables, pero haciendo una búsqueda rápida, podrías encontrar docenas de interfaces de usuario alternativas para OpenAPI (que puedes usar con **FastAPI**).

///

### Frameworks REST para Flask

* <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank">ReDoc</a>

Ces deux-là ont été choisis parce qu'ils sont populaires et stables, mais en faisant une recherche rapide, vous pourriez trouver des dizaines d'alternatives supplémentaires pour OpenAPI (que vous pouvez utiliser avec **FastAPI**).

///

### Frameworks REST pour Flask

import static com.google.common.collect.Maps.safeContainsKey;
import static com.google.common.collect.Maps.safeGet;
import static com.google.common.collect.NullnessCasts.uncheckedCastNullableTToT;
import static com.google.common.collect.Tables.immutableCell;
import static java.util.Objects.requireNonNull;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;

```
/minio/metrics/v3/api/bucket?list
```

## Metric Categories

At a high level, metrics are grouped into categories as described in the following sections. The path in each of the tables is relative to the top-level endpoint. Note that the standard GoCollector metrics are not shown.

### Request metrics

Metrics about requests served by the current node.

    @Override
    SetBuilderImpl<E> copy() {
      return this;
    }

    @Override
    ImmutableSet<E> build() {
      return ImmutableSet.of();
    }
  }

  // We use power-of-2 tables, and this is the highest int that's a power of 2
  static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;

  // Represents how tightly we can pack things, as a maximum.

      return true;
    }
    return false;
  }

  /**
   * Coerces an IPv6 address into an IPv4 address.
   *
   * <p>HACK: As long as applications continue to use IPv4 addresses for indexing into tables,
   * accounting, et cetera, it may be necessary to <b>coerce</b> IPv6 addresses into IPv4 addresses.
   * This method does so by hashing 64 bits of the IPv6 address into {@code 224.0.0.0/3} (64 bits
   * into 29 bits):
   *

  Equivalence<Object> getValueEquivalence() {
    return MoreObjects.firstNonNull(valueEquivalence, getValueStrength().defaultEquivalence());
  }

  /**
   * Sets the minimum total size for the internal hash tables. For example, if the initial capacity
   * is {@code 60}, and the concurrency level is {@code 8}, then eight segments are created, each
   * having a hash table of size eight. Providing a large enough estimate at construction time