t.Fatalf("Failed to delete address, got error %v", err)
	}

	if len(person.Addresses) != 1 {
		t.Fatalf("Should have one address left")
	}

	if DB.Find(&[]PersonAddress{}, "person_id = ?", person.ID).RowsAffected != 1 {
		t.Fatalf("Should found one address")
	}

	var addresses2 []Address
	if err := DB.Model(&person).Association("Addresses").Find(&addresses2); err != nil || len(addresses2) != 1 {

	ErrInvalidPart: {
		Code:           "InvalidPart",
		Description:    "One or more of the specified parts could not be found.  The part may not have been uploaded, or the specified entity tag may not match the part's entity tag.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrMissingPart: {
		Code:           "InvalidRequest",
		Description:    "You must specify at least one part",
		HTTPStatusCode: http.StatusBadRequest,
	},

package com.google.common.collect.testing.testers;

import static com.google.common.collect.testing.features.CollectionFeature.REJECTS_DUPLICATES_AT_CREATION;
import static com.google.common.collect.testing.features.CollectionSize.ONE;
import static com.google.common.collect.testing.features.CollectionSize.ZERO;

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.testing.features.CollectionFeature;

So we have a dedicated thread for every socket that just reads frames and dispatches them.

The reader thread must never run application-layer code. Otherwise one slow stream can hold up the entire connection.

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

But still, the final experience is not the best. 😞

---

This would be the parallel equivalent story for burgers. 🍔

For a more "real life" example of this, imagine a bank.

internal fun inet6AddressToAscii(address: ByteArray): String {
  // Go through the address looking for the longest run of 0s. Each group is 2-bytes.
  // A run must be longer than one group (section 4.2.2).
  // If there are multiple equal runs, the first one must be used (section 4.2.3).
  var longestRunOffset = -1
  var longestRunLength = 0
  run {
    var i = 0
    while (i < address.size) {
      val currentRunOffset = i

MinIO versioning is designed to keep multiple versions of an object in one bucket. For example, you could store `spark.csv` (version `ede336f2`) and `spark.csv` (version `fae684da`) in a single bucket. Versioning protects you from unintended overwrites, deletions, protect objects with retention policies.

n||(this._element.style.overflowY="hidden"),this._element.classList.add(ht);var i=d.getTransitionDurationFromElement(this._dialog);o.default(this._element).off(d.TRANSITION_END),o.default(this._element).one(d.TRANSITION_END,(function(){t._element.classList.remove(ht),n||o.default(t._element).one(d.TRANSITION_END,(function(){t._element.style.overflowY=""})).emulateTransitionEnd(t._element,i)})).emulateTransitionEnd(i),this._element.focus()}},e._showElement=function(t){var e=this,n=o.default(this....

    @Override
    public BigInteger next(BigInteger value) {
      return value.add(BigInteger.ONE);
    }

    @Override
    public BigInteger previous(BigInteger value) {
      return value.subtract(BigInteger.ONE);
    }

    @Override
    BigInteger offset(BigInteger origin, long distance) {
      checkNonnegative(distance, "distance");

package com.google.common.collect.testing.testers;

import static com.google.common.collect.testing.features.CollectionFeature.REJECTS_DUPLICATES_AT_CREATION;
import static com.google.common.collect.testing.features.CollectionSize.ONE;
import static com.google.common.collect.testing.features.CollectionSize.ZERO;

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.testing.features.CollectionFeature;