So, the function below it will be executed once for each combination of arguments. And then the values returned by each of those combinations of arguments will be used again and again whenever the function is called with exactly the same combination of arguments.

For example, if you have a function:

```Python
@lru_cache
def say_hi(name: str, salutation: str = "Ms."):

* The build's output;
* The build's logging (i.e. console output);
* The set of tasks executed by the build and their results (e.g. FAILED, UP-TO-DATE etc.).

                  public boolean apply(Set<Integer> input) {
                    return input.size() == size;
                  }
                });
        assertWithMessage("Sets.combinations(%s, %s)", sampleSet, k)
            .that(Sets.combinations(sampleSet, k))
            .containsExactlyElementsIn(expected)
            .inOrder();
      }
    }
  }

  private static <E> Set<E> set(E... elements) {

	if k == 0 {
		return
	}
	for j := i; j < len(b)*8; j++ {
		b[j/8] |= byte(1 << uint(j&7))
		setbits(h, b, j+1, k-1)
		b[j/8] &= byte(^(1 << uint(j&7)))
	}
}

// Test all possible combinations of n blocks from the set s.
// "permutation" is a bad name here, but it is what Smhasher uses.
func TestSmhasherPermutation(t *testing.T) {
	if runtime.GOARCH == "wasm" {
		t.Skip("Too slow on wasm")
	}

        where:
        [operator, orElseKind] << [
            ['systemProperty', 'environmentVariable'],
            ['primitive', 'provider', 'task output']
        ].combinations()
        orElseArgument = orElseKind == 'primitive'
            ? '"absent"'
            : orElseKind == 'provider'
            ? 'providers.provider { "absent" }'

			if n > 8 && testing.Short() {
				break
			}
			x[n] = 0 // for sais.New
			testRec(t, x[:n], 0, 3, &numFail, build)
		}
	})
}

// testRec fills x[i:] with all possible combinations of values in [1,max]
// and then calls testSA(t, x, build) for each one.
func testRec(t *testing.T, x []byte, i, max int, numFail *int, build func([]byte) []int) {
	if i < len(x) {

    double actualReportedFpp = bf.expectedFpp();
    assertEquals(expectedReportedFpp, actualReportedFpp, 0.00033);
  }

  /** Sanity checking with many combinations of false positive rates and expected insertions */
  public void testBasic() {
    for (double fpr = 0.0000001; fpr < 0.1; fpr *= 10) {

                  public boolean apply(Set<Integer> input) {
                    return input.size() == size;
                  }
                });
        assertWithMessage("Sets.combinations(%s, %s)", sampleSet, k)
            .that(Sets.combinations(sampleSet, k))
            .containsExactlyElementsIn(expected)
            .inOrder();
      }
    }
  }

  private static <E> Set<E> set(E... elements) {

    @Issue("https://github.com/gradle/gradle/issues/3537")
    @ToBeFixedForIsolatedProjects(because = "subprojects")
    def "concurrent access to local cache works"() {
        String[] projectNames = GroovyCollections.combinations(('a'..'p'), ('a'..'p'), ('a'..'d'))*.join("")
        println "Running with ${projectNames.size()} projects"
        createDirs(projectNames)
        projectNames.each { projectName ->

Here are some possible combinations and strategies:

* **Gunicorn** managing **Uvicorn workers**
    * Gunicorn would be the **process manager** listening on the **IP** and **port**, the replication would be by having **multiple Uvicorn worker processes**.