"msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "five",
                },
                {
                    "type": "int_parsing",
                    "loc": ["query", "q", 1],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "six",
                },
            ]

      }
    },
    RANDOM {
      @Override
      void arrange(List<Integer> list) {}
    };

    abstract void arrange(List<Integer> list);
  }

  private ImmutableList<Integer> input;

  @BeforeExperiment
  void setUp() {
    checkArgument(size > 0, "empty collection not supported");
    Set<Integer> set = new LinkedHashSet<>(size);

    Random random = new Random();
    while (set.size() < size) {

        return this;
    }

    public void setDepth_Equal(Integer depth) {
        setDepth_Term(depth, null);
    }

    public void setDepth_Equal(Integer depth, ConditionOptionCall<TermQueryBuilder> opLambda) {
        setDepth_Term(depth, opLambda);
    }

    public void setDepth_Term(Integer depth) {
        setDepth_Term(depth, null);
    }

                    "input": "foobar",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["path", "item_id"],
                    "msg": "value is not a valid integer",

    @Override
    protected SortedSet<Integer> create(Integer[] elements) {
      return checkedCreate(nullCheckedTreeSet(elements));
    }
  }

  public static class ContiguousSetHeadsetGenerator extends AbstractContiguousSetGenerator {
    @Override
    protected SortedSet<Integer> create(Integer[] elements) {
      SortedSet<Integer> set = nullCheckedTreeSet(elements);

                    type: integer
                    format: int64
                    example: 0
                  page_size:
                    type: integer
                    example: 20
                  page_number:
                    type: integer
                    example: 1
                  record_count:
                    type: integer
                    format: int64

                                    "anyOf": [{"type": "integer"}, {"type": "null"}],
                                    "title": "Age",
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {
                                    "type": "integer",
                                    "title": "Age",

     *
     */
    @Test
    public void testIsAssignableFrom() {
        assertThat(ClassUtil.isAssignableFrom(Number.class, Integer.class), is(true));
        assertThat(ClassUtil.isAssignableFrom(Integer.class, Number.class), is(not(true)));
        assertThat(ClassUtil.isAssignableFrom(int.class, Integer.class), is(true));
    }

    /**
     *
     */
    @Test
    public void testGetPackageName() {

                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "__key__"],
                    "msg": "value is not a valid integer",

        return this;
    }

    public void setSortOrder_Equal(Integer sortOrder) {
        setSortOrder_Term(sortOrder, null);
    }

    public void setSortOrder_Equal(Integer sortOrder, ConditionOptionCall<TermQueryBuilder> opLambda) {
        setSortOrder_Term(sortOrder, opLambda);
    }

    public void setSortOrder_Term(Integer sortOrder) {
        setSortOrder_Term(sortOrder, null);
    }