# Copyright (C) 2014 ETH Zurich, Institute for Astronomy """ Test operators for `hope` module. """ from __future__ import print_function, division, absolute_import, unicode_literals import numpy as np import hope, itertools, pytest, sys, sysconfig, os, shutil from test.utilities import random, check, make_test, JENKINS, min_dtypes, dtypes, shapes, setup_module, setup_method, teardown_module @pytest.mark.parametrize("dtype,shape", itertools.product(dtypes, shapes[1:])) def test_augmented_pow(dtype, shape): def fkt(a, c): c[:] **= a hfkt = hope.jit(fkt) (ao, ah), (co, ch) = random(np.uint8, shape), random(dtype, shape) if np.count_nonzero(ao == 0) > 0: ao[ao == 0] += 1 if np.count_nonzero(ah == 0) > 0: ah[ah == 0] += 1 if np.count_nonzero(co == 0) > 0: co[co == 0] += 1 if np.count_nonzero(ch == 0) > 0: ch[ch == 0] += 1 co, ch = np.copysign(np.sqrt(np.abs(co)), co).astype(dtype), np.copysign(np.sqrt(np.abs(ch)), ch).astype(dtype) ao, ah = np.power(np.abs(ao).astype(np.float64), 1. / co.astype(np.float64)).astype(dtype), np.power(np.abs(ah).astype(np.float64), 1. / ch.astype(np.float64)).astype(dtype) fkt(ao, co), hfkt(ah, ch) assert check(co, ch) # TODO: fix for np.ulonglong and uint64, std::power produce different results @pytest.mark.parametrize("dtype,shape", itertools.product([dtype for dtype in dtypes if not dtype in [np.uint64, np.ulonglong]], shapes[1:])) def test_binary_pow(dtype, shape): def fkt(a, c): c[:] = a ** 2 hfkt = hope.jit(fkt) (ao, ah), (co, ch) = random(dtype, shape), random(dtype, shape) ao, ah = np.copysign(np.sqrt(np.abs(ao)), ao).astype(dtype), np.copysign(np.sqrt(np.abs(ah)), ah).astype(dtype) fkt(ao, co), hfkt(ah, ch) assert check(co, ch) fkt(ao, co), hfkt(ah, ch) assert check(co, ch) @pytest.mark.parametrize("dtypea,dtypeb", itertools.product(min_dtypes, min_dtypes)) def test_cross_pow_dtype(dtypea, dtypeb): if JENKINS and dtypea == np.float32 and dtypeb == np.int8: pytest.skip("Fails on debian: dtypea={0!s}, dtypeb={1!s}".format(dtypea, dtypeb)) def fkt(a, b, c): c[:] = a ** b hfkt = hope.jit(fkt) (ao, ah), (bo, bh), (co, ch) = random(dtypea, [100]), random(np.int8, []), random(dtypea, [100]) if bo == 0 or bh == 0: bo, bh = dtypeb(1), dtypeb(1) else: bo, bh = np.abs(bo).astype(dtypeb), np.abs(bh).astype(dtypeb) ao, ah = np.power(np.abs(ao).astype(np.float64), 1. / bo).astype(dtypea), np.power(np.abs(ah).astype(np.float64), 1. / bh).astype(dtypea) fkt(ao, bo, co), hfkt(ah, bh, ch) assert check(co, ch) fkt(ao, bo, co), hfkt(ah, bh, ch) assert check(co, ch)