def test_tuple_casted_1():
a = Enumap("a", names="b c e")
a.set_types(to_int, to_int, float, e=to_int)
assert a.tuple_casted(*"1 2.2 3.3".split(), b=2.2) == (2, 2, 3.0)
def test_smallish_casted_tuple():
data = "1 2 3 4 5 6 7 8 9 10 11".split()
incomplete_data = data[:-6]
sparse_spec = SparseEnumap("ThingSparse", "a b c d e f g h i j k")
sparse_spec.set_types(a=int, e=int)
spec = Enumap("Thing", sparse_spec.names())
spec.set_types(a=int, e=int)
sparse_typeless_spec = SparseEnumap("ThingSparseTypless",
"a b c d e f g h i j k")
print()
print(spec.tuple_casted(*data))
print(spec.tuple_casted(*data, d="9999999"))
print(sparse_spec.tuple_casted(*incomplete_data))
print(sparse_typeless_spec.tuple_casted(*incomplete_data))
# time Enumap.tuple() when all data is given
enumap_tuple_time = timeit("spec.tuple_casted(*data)",
globals=dict(data=data, spec=spec),
number=N_RUNS)
# time Enumap.tuple() when all data is given as kwargs
kwarg_data = dict(zip(spec.names(), data))
enumap_kwargs_tuple_time = timeit("spec.tuple_casted(**data)",
globals=dict(data=kwarg_data, spec=spec),
number=N_RUNS)
# time Enumap.tuple() when data is given with overrides
enumap_override_tuple_time = timeit("spec.tuple_casted(*data, d='99999')",
globals=dict(data=data, spec=spec),
number=N_RUNS)
# time SparseEnumap.tuple() when partial data is given
enumap_sparse_tuple_time = timeit("spec.tuple_casted(*data)",
globals=dict(data=incomplete_data,
spec=sparse_spec),
number=N_RUNS)
# time SparseEnumap.tuple() when partial data is given
enumap_sparse_typeless_tuple_time = timeit("spec.tuple_casted(*data)",
globals=dict(
data=incomplete_data,
spec=sparse_typeless_spec),
number=N_RUNS)
# time a regular tuple(iterable) call
regular_tuple_time = timeit("tuple(map(int, data))",
globals=dict(data=data),
number=N_RUNS)
# time a regular namedtuple(*args) call
ntuple = namedtuple("ntuple", list(spec.names()))
named_tuple_time = timeit("ntuple(*map(int, data))",
globals=dict(data=data, ntuple=ntuple),
number=N_RUNS)
print(f"{'Enumap.tuple_casted':<40} {enumap_tuple_time:.2f}")
print(
f"{'Enumap.tuple_casted (with kwargs)':<40} {enumap_kwargs_tuple_time:.2f}"
)
print(
f"{'Enumap.tuple_casted (with override)':<40} {enumap_override_tuple_time:.2f}"
)
print(
f"{'Enumap.tuple_casted (sparse)':<40} {enumap_sparse_tuple_time:.2f}")
print(
f"{'Enumap.tuple_casted (sparse, typeless)':<40} {enumap_sparse_typeless_tuple_time:.2f}"
)
print(f"{'tuple(map(int, ...))':<40} {regular_tuple_time:.2f}")
print(f"{'namedtuple(map(int, ...))':<40} {named_tuple_time:.2f}")
def test_tuple_casted_0():
a = Enumap("a", names="b c e")
a.set_types(to_int, to_int, float)
assert a.tuple_casted(*"1 2.2 3.3".split()) == (1, 2, 3.3)
