How to use get_image method in localstack

Best Python code snippet using localstack_python

test_msimanipulations.py

Source:test_msimanipulations.py

...12    def setUp(self):13        self.msi = helpers.getFakeMsi()14        self.specialmsi = helpers.getFakeMsi()15        # set one pixel to special values16        self.specialValue = np.arange(self.specialmsi.get_image().shape[-1]) * 217        self.specialmsi.get_image()[2, 2, :] = self.specialValue18        # create a segmentation which sets all elements to invalid but the19        # one pixel with the special value20        self.segmentation = np.zeros(self.specialmsi.get_image().shape[0:-1])21        self.segmentation[2, 2] = 122    def tearDown(self):23        pass24    def test_apply_segmentation(self):25        mani.apply_segmentation(self.specialmsi, self.segmentation)26        validImageEntries = self.specialmsi.get_image() \27            [~self.specialmsi.get_image().mask]28        np.testing.assert_equal(validImageEntries, self.specialValue,29                        "image has been correctly segmented")30    def test_calculate_mean_spectrum(self):31        mani.calculate_mean_spectrum(self.specialmsi)32        np.testing.assert_equal(np.array([0.96, 2., 3.04, 4.08, 5.12]),33                                self.specialmsi.get_image(),34                        "mean spectrum is correctly calculated on image with " +35                        "no mask applied")36    def test_calculate_mean_spectrum_masked_image(self):37        mani.apply_segmentation(self.specialmsi, self.segmentation)38        mani.calculate_mean_spectrum(self.specialmsi)39        np.testing.assert_equal(self.specialValue, self.specialmsi.get_image(),40                        "mean spectrum is correctly calculated on image with " +41                        "mask applied")42    def test_interpolate(self):43        # create not sorted new wavelengths44        newWavelengths = np.array([4.0, 2.5, 3.5, 1.5])45        mani.interpolate_wavelengths(self.msi, newWavelengths)46        np.testing.assert_equal(newWavelengths, self.msi.get_wavelengths(),47                        "wavelengths correctly updated")48        # check if first image pixel was correctly calculated49        # (hopefully true for all then)50        np.testing.assert_equal(np.array([2.0, 3.5, 2.5, 4.5]),51                                self.msi.get_image()[0, 0, :],52                        "image elements correctly interpolated")53    def test_normalize_integration_times(self):54        old_shape = self.msi.get_image().shape55        integration_times = np.array([1., 2., 3., 4., 5.])56        self.msi.add_property({'integration times': integration_times})57        mani.normalize_integration_times(self.msi)58        np.testing.assert_equal(self.msi.get_image()[1, 3, :],59                            np.ones_like(integration_times),60                            "normalized integration times")61        np.testing.assert_equal(self.msi.get_properties()['integration times'],62                            np.ones_like(integration_times),63                            "integration time property set to ones")64        self.assertEqual(self.msi.get_image().shape, old_shape,65                        "shape did not change from normalizing")66    def test_normalize_integration_times_none_given(self):67        msi_copy = copy.deepcopy(self.msi)68        mani.normalize_integration_times(msi_copy)69        np.testing.assert_equal(msi_copy.get_image(), self.msi.get_image(),70                                "nothing change by normalizing without" + \71                                "integration times given")72    def test_dark_correction(self):73        desired_image_data = copy.copy(self.msi.get_image())74        desired_image_data -= 175        dark = copy.copy(self.msi)76        dark.set_image(np.ones_like(dark.get_image()))77        mani.dark_correction(self.msi, dark)78        np.testing.assert_equal(self.msi.get_image(),79                                       desired_image_data,80                                       "dark image correctly accounted for")81        np.testing.assert_equal(dark.get_image(),82                                       np.ones_like(dark.get_image()),83                        "dark image unchanged by dark correction")84    def test_dark_correction_with_single_value(self):85        desired_image_data = copy.copy(self.specialmsi.get_image())86        desired_image_data -= 187        dark = copy.copy(self.specialmsi)88        dark.set_image(np.ones_like(dark.get_image()))89        mani.calculate_mean_spectrum(dark)90        mani.dark_correction(self.specialmsi, dark)91        np.testing.assert_equal(self.specialmsi.get_image(),92                                       desired_image_data,93                "dark image correctly accounted for from singular dark value")94        np.testing.assert_equal(dark.get_image(),95                                       np.ones_like(dark.get_image()),96                "dark image unchanged by dark correction")97    def test_flatfield_correction(self):98        desired_image_data = np.ones_like(self.specialmsi.get_image())99        desired_image_data[2, 2, 0] = np.nan100        mani.flatfield_correction(self.specialmsi, self.specialmsi)101        np.testing.assert_equal(self.specialmsi.get_image(),102                                       desired_image_data,103                       "correct image by itself should lead to only 1s ")104    def test_flatfield_correction_differing_integration_times(self):105        MSI_INTEGRATION_TIME = 3.0106        FLATFIELD_INTEGRATION_TIME = 2.0107        desired_image_data = np.ones_like(self.specialmsi.get_image()) * \108             FLATFIELD_INTEGRATION_TIME / MSI_INTEGRATION_TIME109        desired_image_data[2, 2, 0] = np.nan110        self.specialmsi.add_property({"integration times":111                                      np.ones_like(112                                        self.specialmsi.get_image()[0, 0, :])113                                        * MSI_INTEGRATION_TIME})114        flatfield = copy.deepcopy(self.specialmsi)115        flatfield.add_property({"integration times":116                                np.ones_like(117                                    flatfield.get_image()[0, 0, :])118                                    * FLATFIELD_INTEGRATION_TIME})119        # for testing if flatfield does not changed by correction we copy it120        flatfield_copy = copy.deepcopy(flatfield)121        mani.flatfield_correction(self.specialmsi, flatfield_copy)122        np.testing.assert_almost_equal(self.specialmsi.get_image(),123                                       desired_image_data, 15,124                       "corrected image is a division of integration times")125        np.testing.assert_equal(flatfield.get_image(),126                                flatfield_copy.get_image(),127                                "flatfield doesn't change by correction")128    def test_flatfield_correction_with_single_value(self):129        desired_image_data = np.ones_like(self.msi.get_image())130        flatfield = copy.copy(self.msi)131        mani.calculate_mean_spectrum(flatfield)132        unchanged_flatfield = copy.deepcopy(flatfield)133        mani.flatfield_correction(self.msi, flatfield)134        np.testing.assert_equal(self.msi.get_image(),135                                       desired_image_data,136                "flatfield correctly accounted for from singular reference value")137        np.testing.assert_equal(flatfield, unchanged_flatfield,138                "flatfield not changed by algorithm")139    def test_image_correction(self):140        dark = copy.copy(self.msi)141        dark.set_image(np.ones_like(dark.get_image()) * 0.5)142        flatfield = copy.copy(self.msi)143        flatfield_copy = copy.deepcopy(flatfield)144        dark_copy = copy.deepcopy(dark)145        mani.image_correction(self.msi, flatfield, dark)146        np.testing.assert_equal(flatfield.get_image(),147                                flatfield_copy.get_image(),148                                "image correction didn't change flatfield")149        np.testing.assert_equal(dark.get_image(), dark_copy.get_image(),150                                "image correction didn't change dark image")151        np.testing.assert_almost_equal(self.msi.get_image(),152                                       np.ones_like(self.msi.get_image()),...

constants.py

Source:constants.py

...6bg_color = 200, 200, 2007screen = pygame.display.set_mode(size, pygame.FULLSCREEN)8pygame.display.set_caption("Quad Mayhem")9DBase('images.db')10normal_gas = Table('images').get_image(1)[1].convert()11toxic_gas = Table('images').get_image(2)[2].convert()12play_btn = Table('images').get_image(3)[3].convert()13quit_btn = Table('images').get_image(4)[4].convert()14ffa_btn = Table('images').get_image(5)[5].convert()15ctf_btn = Table('images').get_image(6)[6].convert()16tdm_btn = Table('images').get_image(7)[7].convert()17pause_btn = Table('images').get_image(8)[8].convert()18pause = Table('images').get_image(9)[9].convert()19hero_choicing = Table('images').get_image(10)[10].convert()20start_btn = Table('images').get_image(11)[11].convert()21not_in_btn = Table('images').get_image(12)[12].convert()22def_btn = Table('images').get_image(13)[13].convert()23attack_btn = Table('images').get_image(14)[14].convert()24not_in_btn_light = Table('images').get_image(15)[15].convert()25def_btn_light = Table('images').get_image(16)[16].convert()26attack_btn_light = Table('images').get_image(17)[17].convert()27wasd = Table('images').get_image(18)[18].convert()28arrows = Table('images').get_image(19)[19].convert()29gamepad1 = Table('images').get_image(20)[20].convert()30gamepad2 = Table('images').get_image(21)[21].convert()31wasd_light = Table('images').get_image(22)[22].convert()32arrows_light = Table('images').get_image(23)[23].convert()33gamepad1_light = Table('images').get_image(24)[24].convert()34gamepad2_light = Table('images').get_image(25)[25].convert()35control_choice = Table('images').get_image(26)[26].convert()36continue_but = Table('images').get_image(27)[27].convert()37hero_choicing2 = Table('images').get_image(28)[28].convert()38in_but = Table('images').get_image(29)[29].convert()39in_but_light = Table('images').get_image(30)[30].convert()40machine_gun = Table('images').get_image(31)[31].convert()41sub_machine_gun = Table('images').get_image(32)[32].convert()42semi_automatic_sniper_rifle = Table('images').get_image(33)[33].convert()43sniper_rifle = Table('images').get_image(58)[58].convert()44sniper_rifle_bullet = Table('images').get_image(59)[59].convert()45sub_machine_gun_bullet = Table('images').get_image(60)[60].convert()46semiauto_machinegun_bullet = Table('images').get_image(61)[61].convert()47portal = Table('images').get_image(62)[62].convert()48platform = Table('images').get_image(63)[63].convert()49team_flag = Table('images').get_image(64)[64].convert()50ammo = Table('images').get_image(65)[65].convert()51healing_box = Table('images').get_image(66)[66].convert()52jasper_protect = Table('images').get_image(67)[67].convert()53vincent_poison_ray = Table('images').get_image(68)[68].convert()54turret_of_guido = Table('images').get_image(69)[69].convert()55turret_of_guido_bullet = Table('images').get_image(70)[70].convert()56ffa_level = Table('images').get_image(71)[71].convert()57ctf_level = Table('images').get_image(72)[72].convert()58items_spawner = Table('images').get_image(73)[73].convert()59door_open = Table('images').get_image(74)[74].convert()60door_closed = Table('images').get_image(75)[75].convert()61bg = Table('images').get_image(76)[76].convert()62menu_bg = Table('images').get_image(77)[77].convert()63cur = Table('images').get_image(78)[78].convert()64mch1 = Table('images').get_image(79)[79].convert()65mch2 = Table('images').get_image(80)[80].convert()66mch3 = Table('images').get_image(81)[81].convert()67jasper_animation = list()68adam_animation = list()69vincent_animation = list()70guido_animation = list()71for i in range(35, 40):72    a = Table('images').get_image(i)[i].convert()73    a.set_colorkey('black')74    jasper_animation.append(a)75for i in range(41, 46):76    a = Table('images').get_image(i)[i].convert()77    a.set_colorkey('black')78    adam_animation.append(a)79for i in range(47, 52):80    a = Table('images').get_image(i)[i].convert()81    a.set_colorkey('black')82    vincent_animation.append(a)83for i in range(53, 58):84    a = Table('images').get_image(i)[i].convert()85    a.set_colorkey('black')86    guido_animation.append(a)87normal_gas.set_colorkey('white')88toxic_gas.set_colorkey('white')89pause_btn.set_colorkey('white')90machine_gun.set_colorkey('black')91sub_machine_gun.set_colorkey('black')92semi_automatic_sniper_rifle.set_colorkey('black')93sniper_rifle.set_colorkey('black')94ffa_level.set_colorkey('black')95ctf_level.set_colorkey('black')96turret_of_guido.set_colorkey('black')97vincent_poison_ray.set_colorkey('black')98healing_box.set_colorkey('black')...

cat.py

Source:cat.py

...9	font=("TkDefaultFont",13,"bold"))10log.update(idle=True)11sprites = {12	"default" : [13		base.get_image("cat/c1.png"),14		base.get_image("cat/c2.png"),15		base.get_image("cat/c3.png"),16		base.get_image("cat/c4.png"),17		base.get_image("cat/c5.png"),18		base.get_image("cat/c6.png"),19		base.get_image("cat/c7.png"),20		base.get_image("cat/c8.png"),21		base.get_image("cat/c9.png"),22		base.get_image("cat/c10.png"),23		base.get_image("cat/c11.png"),24		base.get_image("cat/c12.png"),25	],26	"staying" : [27		base.get_image("cat/b1.png"),28		base.get_image("cat/b2.png"),29		base.get_image("cat/b3.png"),30		base.get_image("cat/b4.png"),31		base.get_image("cat/b5.png"),32		base.get_image("cat/b6.png"),33	],34	"run1" : [35		base.get_image("cat/a1.png"),36		base.get_image("cat/a2.png"),37		base.get_image("cat/a3.png"),38		base.get_image("cat/a4.png"),39		base.get_image("cat/a5.png"),40		base.get_image("cat/a6.png"),41		base.get_image("cat/a7.png"),42		base.get_image("cat/a8.png"),43		base.get_image("cat/a9.png"),44		base.get_image("cat/a10.png"),45		base.get_image("cat/a11.png"),46		base.get_image("cat/a12.png"),47	],48	"run2" : [49		base.get_image("cat/d1.png"),50		base.get_image("cat/d2.png"),51		base.get_image("cat/d3.png"),52		base.get_image("cat/d4.png"),53		base.get_image("cat/d5.png"),54		base.get_image("cat/d6.png"),55		base.get_image("cat/d7.png"),56		base.get_image("cat/d8.png"),57		base.get_image("cat/d9.png"),58		base.get_image("cat/d10.png"),59		base.get_image("cat/d11.png"),60		base.get_image("cat/d12.png"),61		base.get_image("cat/d13.png"),62	]63}64log.style.update(text="lk")65log.update(idle=True)66CAT = game.Sprite(ca, top.get_width()/2,67	top.get_height()/2, tk_photo=sprites["default"][0])68CAT.states = sprites69def _(*args):70	if top.kmap.get("Left",False):71		CAT.to_state("default")72		CAT.next()73	elif top.kmap.get("Right",False):74		CAT.to_state("run1")75		CAT.next()...

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