isFirstRow := false
	if !e.aggregate.seen {
		e.aggregate.seen = true
		isFirstRow = true
	}

	switch funcName {
	case aggFnCount:
		// For all non-null values, the count is incremented.
		e.aggregate.runningCount++

	case aggFnAvg, aggFnSum:
		e.aggregate.runningCount++
		// Convert to float.
		f, ok := argVal.ToFloat()
		if !ok {

//
//   - <KbBlockSize>
//     Veeam Block Size for backup and restore processing before compression is applied. The higher the block size, the more
//     backup space is needed for incremental backups. Larger block sizes also mean less performance for random read restore
//     methods like Instant Restore, File Level Recovery, and Database/Application restores. Veeam recommends that vendors

          || (a = as[(n - 1) & hc[0]]) == null
          || !(uncontended = a.cas(v = a.value, v + x))) retryUpdate(x, hc, uncontended);
    }
  }

  /** Equivalent to {@code add(1)}. */
  @Override
  public void increment() {
    add(1L);
  }

  /** Equivalent to {@code add(-1)}. */
  public void decrement() {
    add(-1L);
  }

  /**

          || (a = as[(n - 1) & hc[0]]) == null
          || !(uncontended = a.cas(v = a.value, v + x))) retryUpdate(x, hc, uncontended);
    }
  }

  /** Equivalent to {@code add(1)}. */
  @Override
  public void increment() {
    add(1L);
  }

  /** Equivalent to {@code add(-1)}. */
  public void decrement() {
    add(-1L);
  }

  /**

		m.expMovingAvg = float64(bytesSinceLastWindow) / duration.Seconds()
		return
	}

	increment := float64(bytesSinceLastWindow) / duration.Seconds()
	m.expMovingAvg = exponentialMovingAverage(beta, m.expMovingAvg, increment)
}

// exponentialMovingAverage calculates the exponential moving average
func exponentialMovingAverage(beta, previousAvg, incrementAvg float64) float64 {

///

## Reduce duplication

Reducing code duplication is one of the core ideas in **FastAPI**.

As code duplication increments the chances of bugs, security issues, code desynchronization issues (when you update in one place but not in the others), etc.

And these models are all sharing a lot of the data and duplicating attribute names and types.

              // Indexed Header Field.
              writeInt(headerIndex, PREFIX_7_BITS, 0x80)
            }
            headerNameIndex == -1 -> {
              // Literal Header Field with Incremental Indexing - New Name.
              out.writeByte(0x40)
              writeByteString(name)
              writeByteString(value)
              insertIntoDynamicTable(header)
            }

          || (a = as[(n - 1) & hc[0]]) == null
          || !(uncontended = a.cas(v = a.value, v + x))) retryUpdate(x, hc, uncontended);
    }
  }

  /** Equivalent to {@code add(1)}. */
  @Override
  public void increment() {
    add(1L);
  }

  /** Equivalent to {@code add(-1)}. */
  public void decrement() {
    add(-1L);
  }

  /**

        }

        /* The message provided to batch has a batchLimit that is
         * higher than the current batchLevel so we will now encode
         * that chained message. Before doing so we must increment
         * the batchLevel of the andx message in case it itself is an
         * andx message and needs to perform the same check as above.
         */

        andx.batchLevel = batchLevel + 1;

          <type>String</type>
        </field>
        <field>
          <name>buildNumber</name>
          <version>1.0.0+</version>
          <description>The incremental build number</description>
          <type>int</type>
        </field>
        <field>
          <name>localCopy</name>
          <version>1.0.0+</version>