# -*- coding: utf-8 -*- import pytest from pybind11_tests import callbacks as m from threading import Thread import time def test_callbacks(): from functools import partial def func1(): return "func1" def func2(a, b, c, d): return "func2", a, b, c, d def func3(a): return "func3({})".format(a) assert m.test_callback1(func1) == "func1" assert m.test_callback2(func2) == ("func2", "Hello", "x", True, 5) assert m.test_callback1(partial(func2, 1, 2, 3, 4)) == ("func2", 1, 2, 3, 4) assert m.test_callback1(partial(func3, "partial")) == "func3(partial)" assert m.test_callback3(lambda i: i + 1) == "func(43) = 44" f = m.test_callback4() assert f(43) == 44 f = m.test_callback5() assert f(number=43) == 44 def test_bound_method_callback(): # Bound Python method: class MyClass: def double(self, val): return 2 * val z = MyClass() assert m.test_callback3(z.double) == "func(43) = 86" z = m.CppBoundMethodTest() assert m.test_callback3(z.triple) == "func(43) = 129" def test_keyword_args_and_generalized_unpacking(): def f(*args, **kwargs): return args, kwargs assert m.test_tuple_unpacking(f) == (("positional", 1, 2, 3, 4, 5, 6), {}) assert m.test_dict_unpacking(f) == ( ("positional", 1), {"key": "value", "a": 1, "b": 2}, ) assert m.test_keyword_args(f) == ((), {"x": 10, "y": 20}) assert m.test_unpacking_and_keywords1(f) == ((1, 2), {"c": 3, "d": 4}) assert m.test_unpacking_and_keywords2(f) == ( ("positional", 1, 2, 3, 4, 5), {"key": "value", "a": 1, "b": 2, "c": 3, "d": 4, "e": 5}, ) with pytest.raises(TypeError) as excinfo: m.test_unpacking_error1(f) assert "Got multiple values for keyword argument" in str(excinfo.value) with pytest.raises(TypeError) as excinfo: m.test_unpacking_error2(f) assert "Got multiple values for keyword argument" in str(excinfo.value) with pytest.raises(RuntimeError) as excinfo: m.test_arg_conversion_error1(f) assert "Unable to convert call argument" in str(excinfo.value) with pytest.raises(RuntimeError) as excinfo: m.test_arg_conversion_error2(f) assert "Unable to convert call argument" in str(excinfo.value) def test_lambda_closure_cleanup(): m.test_cleanup() cstats = m.payload_cstats() assert cstats.alive() == 0 assert cstats.copy_constructions == 1 assert cstats.move_constructions >= 1 def test_cpp_function_roundtrip(): """Test if passing a function pointer from C++ -> Python -> C++ yields the original pointer""" assert ( m.test_dummy_function(m.dummy_function) == "matches dummy_function: eval(1) = 2" ) assert ( m.test_dummy_function(m.roundtrip(m.dummy_function)) == "matches dummy_function: eval(1) = 2" ) assert ( m.test_dummy_function(m.dummy_function_overloaded) == "matches dummy_function: eval(1) = 2" ) assert m.roundtrip(None, expect_none=True) is None assert ( m.test_dummy_function(lambda x: x + 2) == "can't convert to function pointer: eval(1) = 3" ) with pytest.raises(TypeError) as excinfo: m.test_dummy_function(m.dummy_function2) assert "incompatible function arguments" in str(excinfo.value) with pytest.raises(TypeError) as excinfo: m.test_dummy_function(lambda x, y: x + y) assert any( s in str(excinfo.value) for s in ("missing 1 required positional argument", "takes exactly 2 arguments") ) def test_function_signatures(doc): assert doc(m.test_callback3) == "test_callback3(arg0: Callable[[int], int]) -> str" assert doc(m.test_callback4) == "test_callback4() -> Callable[[int], int]" def test_movable_object(): assert m.callback_with_movable(lambda _: None) is True def test_async_callbacks(): # serves as state for async callback class Item: def __init__(self, value): self.value = value res = [] # generate stateful lambda that will store result in `res` def gen_f(): s = Item(3) return lambda j: res.append(s.value + j) # do some work async work = [1, 2, 3, 4] m.test_async_callback(gen_f(), work) # wait until work is done from time import sleep sleep(0.5) assert sum(res) == sum(x + 3 for x in work) def test_async_async_callbacks(): t = Thread(target=test_async_callbacks) t.start() t.join() def test_callback_num_times(): # Super-simple micro-benchmarking related to PR #2919. # Example runtimes (Intel Xeon 2.2GHz, fully optimized): # num_millions 1, repeats 2: 0.1 secs # num_millions 20, repeats 10: 11.5 secs one_million = 1000000 num_millions = 1 # Try 20 for actual micro-benchmarking. repeats = 2 # Try 10. rates = [] for rep in range(repeats): t0 = time.time() m.callback_num_times(lambda: None, num_millions * one_million) td = time.time() - t0 rate = num_millions / td if td else 0 rates.append(rate) if not rep: print() print( "callback_num_times: {:d} million / {:.3f} seconds = {:.3f} million / second".format( num_millions, td, rate ) ) if len(rates) > 1: print("Min Mean Max") print( "{:6.3f} {:6.3f} {:6.3f}".format( min(rates), sum(rates) / len(rates), max(rates) ) )