def test_mrk_resample2d__with_3Dimage_assertionError(self):
with self.assertRaises(AssertionError) as cm_new:
fu.mrk_resample2d(img=deepcopy(IMAGE_3D),
sub_rate=1.9,
target_size=None)
with self.assertRaises(AssertionError) as cm_old:
oldfu.mrk_resample2d(img=deepcopy(IMAGE_3D),
sub_rate=1.9,
target_size=None)
self.assertEqual(str(cm_new.exception), str(cm_old.exception))
self.assertEqual(str(cm_new.exception), "")
def test_mrk_resample2d_null_targetsize(self):
with self.assertRaises(AssertionError) as cm_new:
fu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=0.9,
target_size=0)
with self.assertRaises(AssertionError) as cm_old:
oldfu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=0.9,
target_size=0)
self.assertEqual(str(cm_new.exception), str(cm_old.exception))
self.assertEqual(str(cm_new.exception), "")
def test_mrk_resample2d_subrate_negative_RuntimeError(self):
with self.assertRaises(RuntimeError) as cm_new:
fu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=-0.9,
target_size=None)
with self.assertRaises(RuntimeError) as cm_old:
oldfu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=-0.9,
target_size=None)
msg = str(cm_new.exception).split("'")
msg_old = str(cm_old.exception).split("'")
self.assertEqual(msg[0].split(" ")[0], "InvalidValueException")
self.assertEqual(msg[3], "x size <= 0")
self.assertEqual(msg[0].split(" ")[0], msg_old[0].split(" ")[0])
self.assertEqual(msg[3], msg_old[3])
self.assertEqual(str(cm_new.exception), str(cm_old.exception))
def test_mrk_resample2d_subrate_less1_returns(self):
return_new = fu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=0.9,
target_size=None)
return_old = oldfu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=0.9,
target_size=None)
self.assertTrue(
array_equal(return_new.get_2dview(), return_old.get_2dview()))
self.assertTrue(
allclose(return_new.get_2dview().flatten(), [
-0.047721877694129944, -0.047721877694129944,
-0.047721877694129944, -0.047721877694129944,
-0.047721877694129944, -0.047721877694129944,
-0.047721877694129944, -0.047721877694129944,
-0.047721877694129944, -0.047721877694129944,
-0.047721877694129944, -0.00979264173656702,
-0.004350133705884218, -0.011892050504684448,
-0.0016624846030026674, 0.0011983346194028854,
-0.0002359417558182031, 0.0050877770408988,
0.01729704812169075, 0.03196311742067337,
-0.047721877694129944, 0.07785306125879288,
0.06396913528442383, 0.06371123343706131, 0.04520949348807335,
0.0620175376534462, 0.0731816217303276, 0.0753120705485344,
0.09960953146219254, 0.08418302237987518,
-0.047721877694129944, 0.06732919067144394,
0.07741532474756241, 0.0821991041302681, 0.0839809998869896,
0.1071862056851387, 0.10582967847585678, 0.11003056913614273,
0.09924037009477615, 0.06709948182106018,
-0.047721877694129944, 0.050387803465127945,
0.06995890289545059, 0.06691155582666397, 0.06422650068998337,
0.09262319654226303, 0.07385403662919998, 0.03432386741042137,
0.028595253825187683, 0.020939644426107407,
-0.047721877694129944, -0.027883881703019142,
-0.03170311823487282, -0.04923679307103157,
-0.04758632183074951, -0.061087723821401596,
-0.07956168800592422, -0.08740868419408798,
-0.08973980695009232, -0.10579903423786163,
-0.047721877694129944, -0.12305420637130737,
-0.1417393535375595, -0.16807080805301666, -0.1731511950492859,
-0.19433154165744781, -0.180768221616745, -0.182774156332016,
-0.2067779004573822, -0.22201569378376007,
-0.047721877694129944, -0.28302663564682007,
-0.2964749038219452, -0.31768250465393066, -0.3294888138771057,
-0.3275138735771179, -0.34638598561286926, -0.3418603241443634,
-0.34814080595970154, -0.367236465215683,
-0.047721877694129944, -0.3802380859851837,
-0.35358381271362305, -0.368375688791275, -0.37149152159690857,
-0.3932974934577942, -0.3932115137577057, -0.40853428840637207,
-0.41270506381988525, -0.4473392069339752,
-0.047721877694129944, -0.4593888521194458,
-0.4584948420524597, -0.4698401093482971, -0.4616740942001343,
-0.4503171443939209, -0.4427659511566162, -0.4284581243991852,
-0.43833982944488525, -0.45278245210647583
],
atol=TOLERANCE))
def test_mrk_resample2d_subrate_higher1(self):
return_new = fu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=1.9,
target_size=None)
return_old = oldfu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=1.9,
target_size=None)
self.assertTrue(
array_equal(return_new.get_2dview(), return_old.get_2dview()))
self.assertTrue(
allclose(return_new.get_2dview().flatten(), [
0.08320573717355728, 0.07271669059991837, 0.06818031519651413,
0.09391328692436218, 0.12102993577718735, 0.11594352126121521,
0.09705159068107605, 0.09719530493021011, 0.10561344772577286,
0.0967702567577362, 0.08243812620639801, 0.07083393633365631,
0.07310925424098969, 0.10512372851371765, 0.13259288668632507,
0.12432464212179184, 0.09990441799163818, 0.08922552317380905,
0.08367384225130081, 0.06763394176959991, 0.07941532135009766,
0.06784776598215103, 0.06707008928060532, 0.08599218726158142,
0.09862350672483444, 0.08668579906225204, 0.06695523113012314,
0.05619390681385994, 0.044884003698825836,
0.028007399290800095, 0.017739417031407356,
0.01256449893116951, 0.010886979289352894, 0.0130070261657238,
0.007318354211747646, -0.006462703458964825,
-0.016188614070415497, -0.02113327383995056,
-0.03109278529882431, -0.04217332974076271,
-0.07314638793468475, -0.0707002580165863, -0.0658802017569542,
-0.07014332711696625, -0.08426815271377563,
-0.09429328888654709, -0.09492906928062439,
-0.0977659597992897, -0.10696263611316681,
-0.11053655296564102, -0.11953753978013992,
-0.11697637289762497, -0.1076805517077446, -0.114369235932827,
-0.12980273365974426, -0.13085418939590454,
-0.12293270975351334, -0.12762132287025452,
-0.13854701817035675, -0.13642024993896484, -0.151829794049263,
-0.15250827372074127, -0.14399021863937378,
-0.15832467377185822, -0.17718826234340668,
-0.16823138296604156, -0.15090616047382355,
-0.15815560519695282, -0.17099638283252716,
-0.16258449852466583, -0.2475888729095459,
-0.24331074953079224, -0.23039957880973816, -0.252596914768219,
-0.27765825390815735, -0.2613894045352936,
-0.23789778351783752, -0.251621276140213, -0.26763278245925903,
-0.24817988276481628, -0.3585677444934845,
-0.34278038144111633, -0.3169642388820648, -0.3409063518047333,
-0.3708537220954895, -0.35105839371681213, -0.3286631107330322,
-0.3563586175441742, -0.3792392909526825, -0.34514787793159485,
-0.38008394837379456, -0.35952889919281006, -0.324637770652771,
-0.3495219647884369, -0.38339370489120483, -0.3623982071876526,
-0.343816339969635, -0.38571256399154663, -0.41599899530410767,
-0.3707023561000824
],
atol=TOLERANCE))
def test_mrk_resample2d_subrate1(self):
return_new = fu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=1,
target_size=None)
return_old = oldfu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=1,
target_size=None)
self.assertTrue(
array_equal(return_new.get_2dview(), return_old.get_2dview()))
self.assertTrue(
array_equal(return_new.get_2dview().flatten(), [
0.009504491463303566, 0.025885052978992462,
0.015371464192867279, 0.029651766642928123,
0.025623319670557976, 0.023996084928512573,
0.023316310718655586, 0.03626585379242897,
0.042238689959049225, 0.053261399269104004,
0.06996519863605499, 0.05416787788271904, 0.050994712859392166,
0.03554266691207886, 0.03604980185627937, 0.07005909085273743,
0.056754179298877716, 0.06729267537593842, 0.0899617150425911,
0.08004479855298996, 0.07206107676029205, 0.07158395648002625,
0.08500781655311584, 0.08074058592319489, 0.08976095914840698,
0.09553121030330658, 0.09733162075281143, 0.12153391540050507,
0.09777011722326279, 0.0612066276371479, 0.060473889112472534,
0.0832795649766922, 0.07990699261426926, 0.0726018100976944,
0.10390139371156693, 0.12692593038082123, 0.08997570723295212,
0.05740871652960777, 0.05622498691082001, 0.05523042380809784,
0.013907668180763721, 0.0071470243856310844,
0.01511574536561966, 2.5205374186043628e-05,
0.008231919258832932, -0.020773129537701607,
-0.034199729561805725, -0.04089483618736267,
-0.042460259050130844, -0.06925757229328156,
-0.06893884390592575, -0.08000176399946213,
-0.11662115156650543, -0.111984983086586, -0.11971071362495422,
-0.1273496150970459, -0.12249226123094559, -0.1453358680009842,
-0.14758040010929108, -0.15034900605678558,
-0.17081016302108765, -0.2014905959367752, -0.2121349573135376,
-0.22736789286136627, -0.24315771460533142,
-0.2552821934223175, -0.23703180253505707, -0.2393375188112259,
-0.2672199606895447, -0.28808265924453735, -0.3236375153064728,
-0.3262620270252228, -0.35172849893569946, -0.3602631986141205,
-0.35741564631462097, -0.3575122356414795,
-0.38925597071647644, -0.377326101064682, -0.38598355650901794,
-0.39209896326065063, -0.3882087767124176, -0.3639817535877228,
-0.3711523711681366, -0.37047016620635986,
-0.39362388849258423, -0.40711337327957153,
-0.3925972580909729, -0.4149233400821686, -0.41900205612182617,
-0.4641905426979065, -0.46107935905456543,
-0.46086275577545166, -0.4773290157318115, -0.473482221364975,
-0.4543262720108032, -0.44096702337265015, -0.4387476146221161,
-0.4229215085506439, -0.4376510977745056, -0.4369300603866577
]))
def test_mrk_resample2d_positive_targetsize(self):
return_new = fu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=0.9,
target_size=5)
return_old = oldfu.mrk_resample2d(img=deepcopy(IMAGE_2D),
sub_rate=0.9,
target_size=5)
self.assertTrue(
array_equal(return_new.get_2dview(), return_old.get_2dview()))
self.assertTrue(
allclose(return_new.get_2dview().flatten(), [
0.0821991041302681, 0.0839809998869896, 0.1071862056851387,
0.10582967847585678, 0.11003056913614273, 0.06691155582666397,
0.06422650068998337, 0.09262319654226303, 0.07385403662919998,
0.03432386741042137, -0.04923679307103157,
-0.04758632183074951, -0.061087723821401596,
-0.07956168800592422, -0.08740868419408798,
-0.16807080805301666, -0.1731511950492859,
-0.19433154165744781, -0.180768221616745, -0.182774156332016,
-0.31768250465393066, -0.3294888138771057, -0.3275138735771179,
-0.34638598561286926, -0.3418603241443634
],
atol=TOLERANCE))