} catch (UnknownHostException e) {
      throw new AssertionError(e);
    }
  }

  /**
   * Returns the string representation of an {@link InetAddress}.
   *
   * <p>For IPv4 addresses, this is identical to {@link InetAddress#getHostAddress()}, but for IPv6
   * addresses, the output follows <a href="http://tools.ietf.org/html/rfc5952">RFC 5952</a> section

    assertEquals(1, matcher.countIn(s));
  }

  /**
   * Checks that expected is equals to out, and further, if in is equals to expected, then out is
   * successfully optimized to be identical to in, i.e. that "in" is simply returned.
   */
  private void assertEqualsSame(String expected, String in, String out) {
    if (expected.equals(in)) {
      assertThat(out).isSameInstanceAs(in);
    } else {

    Iterable<String> letters = COMMA_SPLITTER.split(simple);
    assertThat(letters).containsExactly("a", "b", "c").inOrder();
  }

  /**
   * All of the infrastructure of split and splitToString is identical, so we do one test of
   * splitToString. All other cases should be covered by testing of split.
   *
   * <p>TODO(user): It would be good to make all the relevant tests run on both split and
   * splitToString automatically.

        return SmbEnumerationUtil.list(this, "*", ATTR_DIRECTORY | ATTR_HIDDEN | ATTR_SYSTEM, null, null);
    }

    /**
     * List the contents of this SMB resource. The list returned will be
     * identical to the list returned by the parameterless <code>list()</code>
     * method minus filenames filtered by the specified filter.
     *
     * @param filter

  // Bulk Operations

  /**
   * Adds a number of occurrences of an element to this multiset. Note that if {@code occurrences ==
   * 1}, this method has the identical effect to {@link #add(Object)}. This method is functionally
   * equivalent (except in the case of overflow) to the call {@code
   * addAll(Collections.nCopies(element, occurrences))}, which would presumably perform much more

// Given a Tensor, wrap it with a TensorHandle
//
// Similar to TFE_NewTensorHandle, but includes a pointer to the TFE_Context.
// The context should be identical to that of the Tensor.
TF_CAPI_EXPORT TFE_TensorHandle* TFE_NewTensorHandleFromTensor(
    TFE_Context* ctx, TF_Tensor* t, TF_Status* status);

// Create a packed TensorHandle with the given list of TensorHandles.

    }
    return Iterators.elementsEqual(iterable1.iterator(), iterable2.iterator());
  }

  /**
   * Returns a string representation of {@code iterable}, with the format {@code [e1, e2, ..., en]}
   * (that is, identical to {@link java.util.Arrays Arrays}{@code
   * .toString(Iterables.toArray(iterable))}). Note that for <i>most</i> implementations of {@link

This style of using `async` and `await` is relatively new in the language.

But it makes working with asynchronous code a lot easier.

This same syntax (or almost identical) was also included recently in modern versions of JavaScript (in Browser and NodeJS).

But before that, handling asynchronous code was quite more complex and difficult.

	if p.err != nil {
		return nil, p.err
	}
	s := blk.toGNU().sparse()
	spd := make(sparseDatas, 0, s.maxEntries())
	for {
		for i := 0; i < s.maxEntries(); i++ {
			// This termination condition is identical to GNU and BSD tar.
			if s.entry(i).offset()[0] == 0x00 {
				break // Don't return, need to process extended headers (even if empty)
			}
			offset := p.parseNumeric(s.entry(i).offset())

Each of these containers running your app would normally have **just one process** (e.g. a Uvicorn process running your FastAPI application). They would all be **identical containers**, running the same thing, but each with its own process, memory, etc. That way you would take advantage of **parallelization** in **different cores** of the CPU, or even in **different machines**.