* group related tasks together when presenting a list of tasks to the user.
     *
     * @return The task group for this task. Might be null.
     */
    @Internal
    @Nullable
    String getGroup();

    /**
     * Sets the task group which this task belongs to. The task group is used in reports and user interfaces to
     * group related tasks together when presenting a list of tasks to the user.

		tx.Statement.AddClause(clause.Where{Exprs: []clause.Expression{clause.Not(conds...)}})
	}
	return
}

// Or add OR conditions
//
// Or is used to chain together queries with an OR.
//
//	// Find the first user with name equal to jinzhu or john
//	db.Where("name = ?", "jinzhu").Or("name = ?", "john").First(&user)
func (db *DB) Or(query interface{}, args ...interface{}) (tx *DB) {

					break parseField
				}
			}
		}
	}
	if err == nil {
		err = errRead
	}

	// Create a single string and create slices out of it.
	// This pins the memory of the fields together, but allocates once.
	str := string(r.recordBuffer) // Convert to string once to batch allocations
	dst = dst[:0]
	if cap(dst) < len(r.fieldIndexes) {
		dst = make([]string, len(r.fieldIndexes))
	}

			[]string{"all"},
			[]string{"all"},
			sets.New("all"),
			false,
		},
		{ // non-duplicate, but 'all' present together with individual checks in CLI
			[]string{"a", "b", "all"},
			[]string{},
			sets.New[string](),
			true,
		},
		{ // non-duplicate, but 'all' present together with individual checks in config file
			[]string{},
			[]string{"a", "b", "all"},
			sets.New[string](),
			true,
		},

	APIServerServicePort int

	// TODO, we can probably group service related items into a substruct to make it easier to configure
	// the API server items and `Extra*` fields likely fit nicely together.

	// The range of ports to be assigned to services with type=NodePort or greater
	ServiceNodePortRange utilnet.PortRange
	// If non-zero, the "kubernetes" services uses this port as NodePort.

                remove(file)
            }

            addAll(dependencyFiles)
            add(file)
        }

        // Files in the code fragment context module are compiled together with the code fragment itself.
        val targetModules = computeTargetModules(mainFirFile.llFirModuleData.ktModule)

			continue
		} // ignore entries added to grow table
		cnt++
		if math.Copysign(1.0, k.x) < 0 {
			if v&16 == 0 {
				t.Error("key/value not updated together 1")
			}
			negcnt++
			s |= v & 15
		} else {
			if v&16 == 16 {
				t.Error("key/value not updated together 2", k, v)
			}
			s |= v
		}
		if growflag {
			// force a hashtable resize
			for i := 0; i < 100; i++ {
				m[FloatInt{3.0, i}] = 0

So, you would run **multiple containers** with different things, like a database, a Python application, a web server with a React frontend application, and connect them together via their internal network.

All the container management systems (like Docker or Kubernetes) have these networking features integrated into them.

## Containers and Processes

// Delete panics if j > len(s) or s[i:j] is not a valid slice of s.
// Delete is O(len(s)-i), so if many items must be deleted, it is better to
// make a single call deleting them all together than to delete one at a time.
// Delete zeroes the elements s[len(s)-(j-i):len(s)].
func Delete[S ~[]E, E any](s S, i, j int) S {
	_ = s[i:j:len(s)] // bounds check

	if i == j {
		return s
	}

//===----------------------------------------------------------------------===//
// Binary op patterns.
//===----------------------------------------------------------------------===//

// Check that two values can be broadcasted together
def AreBroadcastCompatible : Constraint<CPred<"AreBroadcastCompatible($0, $1)">,
    "types must be broadcastable">;

class DirectBinaryPat<Op FromOp, Op ToOp>
  : Pat<(FromOp AnyTensor:$l, AnyTensor:$r),