sql = DB.ToSQL(func(tx *gorm.DB) *gorm.DB {
		return tx.Model(&User{}).Create(user)
	})
	assertEqualSQL(t, `INSERT INTO "users" ("created_at","updated_at","deleted_at","name","age","birthday","company_id","manager_id","active") VALUES ('2021-10-18 00:00:00','2021-10-18 00:00:00',NULL,'foo',20,NULL,NULL,NULL,false) RETURNING "id"`, sql)

	// save
	user = &User{Name: "foo", Age: 20}
	user.CreatedAt = date
	user.UpdatedAt = date

until [ $STATUS = 0 ] do ATTEMPTS=`expr $ATTEMPTS + 1` ; echo \"Failed attempts: $ATTEMPTS\" ; if [ $ATTEMPTS -gt $LIMIT ]; then exit 1 ; fi ; sleep 2 ; # 1 second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # checkBucketExists ($bucket) # Check if the bucket exists, by using the exit code of `mc ls` checkBucketExists() { BUCKET=$1 CMD=$(${MC} ls myminio/$BUCKET > /dev/null 2>&1) return $? } # createBucket ($bucket, $policy, $purge) # Ensure...

until [ $STATUS = 0 ] do ATTEMPTS=`expr $ATTEMPTS + 1` ; echo \"Failed attempts: $ATTEMPTS\" ; if [ $ATTEMPTS -gt $LIMIT ]; then exit 1 ; fi ; sleep 2 ; # 1 second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # checkBucketExists ($bucket) # Check if the bucket exists, by using the exit code of `mc ls` checkBucketExists() { BUCKET=$1 CMD=$(${MC} ls myminio/$BUCKET > /dev/null 2>&1) return $? } # createBucket ($bucket, $policy, $purge) # Ensure...

- Register/Deregister Targets in chunks for AWS TargetGroup...

    return isRunning ? ticker.read() - startTick + elapsedNanos : elapsedNanos;
  }

  /**
   * Returns the current elapsed time shown on this stopwatch, expressed in the desired time unit,
   * with any fraction rounded down.
   *
   * <p><b>Note:</b> the overhead of measurement can be more than a microsecond, so it is generally
   * not useful to specify {@link TimeUnit#NANOSECONDS} precision here.
   *

          },
          "expr": "avg(envoy_wasm_envoy_wasm_runtime_v8_active)",
          "interval": "",
          "legendFormat": "v8",
          "refId": "B"
        }
      ],
      "title": "Active",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${datasource}"
      },
      "fieldConfig": {
        "defaults": {

Then you could add permissions about that entity, like "drive" (for the car) or "edit" (for the blog).

And then, you could give that JWT token to a user (or bot), and they could use it to perform those actions (drive the car, or edit the blog post) without even needing to have an account, just with the JWT token your API generated for that.

Using these ideas, JWT can be used for way more sophisticated scenarios.

     * unsafely published. (The Entry object might even be newly created by each iterator.next()
     * call, so we can't assume that writes to the Entry have been safely published by some other
     * synchronization actions.)
     *
     * All that said: I haven't actually managed to make this particular test produce a TSAN error
     * for the field accesses in MapIteratorCache. This test *has* found other TSAN errors,

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</p>
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    FastAPI 框架，高性能，易于学习，高效编码，生产可用
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