// It's definitely safe to multiply into numerator and denominator.
              numerator *= n;
              denominator *= i;
              numeratorBits += nBits;
            } else {
              // It might not be safe to multiply into numerator and denominator,
              // so multiply (numerator / denominator) into result.

        long time = System.currentTimeMillis();
        BigInteger filetime = BigInteger.valueOf(time)
                .add(BigInteger.valueOf(SmbConstants.MILLISECONDS_BETWEEN_1970_AND_1601))
                .multiply(BigInteger.valueOf(10000L));

        byte[] data = new byte[8];
        long low = filetime.longValue();
        long high = filetime.shiftRight(32).longValue();

        // write little-endian

  @AndroidIncompatible // presumably slow
  public void testCheckedMultiply() {
    for (int a : ALL_INTEGER_CANDIDATES) {
      for (int b : ALL_INTEGER_CANDIDATES) {
        BigInteger expectedResult = valueOf(a).multiply(valueOf(b));
        boolean expectedSuccess = fitsInInt(expectedResult);
        try {
          assertEquals(a * b, IntMath.checkedMultiply(a, b));
          assertTrue(expectedSuccess);

     */
    open fun header(
      name: String,
      value: String,
    ) = apply {
      headers[name] = value
    }

    /**
     * Adds a header with [name] and [value]. Prefer this method for multiply-valued
     * headers like "Cookie".
     *
     * Note that for some headers including `Content-Length` and `Content-Encoding`,
     * OkHttp may replace [value] with a header derived from the request body.
     */

           * _actual prod code_. But it probably affects only unusual cases.
           */
          continue;
        }
        BigInteger expectedResult = valueOf(a).multiply(valueOf(b));
        boolean expectedSuccess = fitsInLong(expectedResult);
        try {
          assertEquals(a * b, LongMath.checkedMultiply(a, b));
          assertTrue(expectedSuccess);

            throw new SmbException("Integer overflow detected");
        }
        return (int) result;
    }

    /**
     * Safely multiply integers checking for overflow
     *
     * @param a first value
     * @param b second value
     * @return product
     * @throws SmbException if overflow would occur
     */

* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

### Concurrency + Parallelism: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }

			if pctUsed := int(disk.Used * 100 / disk.Total); pctUsed > maxUsedPct {
				maxUsedPct = pctUsed
			}
		}

		// Since we are comparing pools that may have a different number of sets
		// we multiply by the number of sets in the pool.
		// This will compensate for differences in set sizes
		// when choosing destination pool.
		// Different set sizes are already compensated by less disks.
		available *= uint64(nSets[i])

        tf.math.multiply(a, b)

        server.register("multiply", _remote_multiply) ```

    *   Example usage to create client: `python client =
        tf.distribute.experimental.rpc.Client.create("grpc", address) a =
        tf.constant(2, dtype=tf.int32) b = tf.constant(3, dtype=tf.int32)
        result = client.multiply(a, b)`

*   `tf.lite`:

///

## Multiple body parameters { #multiple-body-parameters }

In the previous example, the *path operations* would expect a JSON body with the attributes of an `Item`, like:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

But you can also declare multiple body parameters, e.g. `item` and `user`: