Function test_eval_numbers_bigints

tests/python/test_bigints.py:6–49

()

def test_eval_numbers_bigints():
  def test_bigint(py_number: int):
    js_number = pm.eval(f'{repr(py_number)}n')
    assert py_number == js_number

  test_bigint(0)
  test_bigint(1)
  test_bigint(-1)

  # CPython would reuse the objects for small ints in range [-5, 256]
  # Making sure we don't do any changes on them
  def test_cached_int_object(py_number):

    # type is still int
    assert type(py_number) is int
    assert not isinstance(py_number, pm.bigint)
    test_bigint(py_number)
    assert type(py_number) is int
    assert not isinstance(py_number, pm.bigint)
    # the value doesn't change
   # TODO (Tom Tang): Find a way to create a NEW int object with the same
   # value, because int literals also reuse the cached int objects
  for _ in range(2):
    test_cached_int_object(0)  # _PyLong_FromByteArray reuses the int 0 object,
    # see https://github.com/python/cpython/blob/3.9/Objects/longobject.c#L862
    for i in range(10):
      test_cached_int_object(random.randint(-5, 256))

  test_bigint(18014398509481984)  # 2**54
  test_bigint(-18014398509481984)     # -2**54
  test_bigint(18446744073709551615)  # 2**64-1
  test_bigint(18446744073709551616)  # 2**64
  test_bigint(-18446744073709551617)  # -2**64-1

  limit = 2037035976334486086268445688409378161051468393665936250636140449354381299763336706183397376
  #     = 2**300
  for i in range(10):
    py_number = random.randint(-limit, limit)
    test_bigint(py_number)

  # TODO (Tom Tang): test -0 (negative zero)
  # There's no -0 in both Python int and JS BigInt,
  # but this could be possible in JS BigInt's internal representation as it uses a sign bit flag.
  # On the other hand, Python int uses `ob_size` 0 for 0, >0 for positive values, <0 for negative values


def test_eval_boxed_numbers_bigints():