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Commit 2ef95bc8 authored by Kelvin's avatar Kelvin Committed by Jesse Mapel
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tests for formatter and kaguya

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ale/drivers/selene_drivers.py
+ 12
− 0
View file @ 2ef95bc8
...@@ -812,3 +812,15 @@ class KaguyaMiPds3NaifSpiceDriver(LineScanner, Pds3Label, NaifSpice, Driver): ...@@ -812,3 +812,15 @@ class KaguyaMiPds3NaifSpiceDriver(LineScanner, Pds3Label, NaifSpice, Driver):
"boresight_y" : self.boresight_y "boresight_y" : self.boresight_y
} }
} }
@property
def sensor_model_version(self):
"""
Returns
-------
: int
ISIS sensor model version
"""
return 1
tests/pytests/data/isds/kaguyami_isd.json 0 → 100644
+ 769
− 0
View file @ 2ef95bc8
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tests/pytests/data/isds/kaguyatc_isd.json 0 → 100644
+ 483
− 0
View file @ 2ef95bc8
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-0.1204,
0.07,
-0.0172,
0.0,
0.0072,
0.0,
0.0,
0.0,
-0.0052
],
"BODY301_LONG_AXIS": 0.0,
"BODY301_NUT_PREC_DEC": [
1.5419,
0.0239,
-0.0278,
0.0068,
0.0,
-0.0029,
0.0009,
0.0,
0.0,
0.0008
],
"BODY301_POLE_DEC": [
66.5392,
0.013,
0.0
],
"BODY301_PM": [
38.3213,
13.17635815,
-1.3999999999999999e-12
]
},
"detector_sample_summing": 1,
"detector_line_summing": 1,
"focal_length_model": {
"focal_length": 72.45
},
"detector_center": {
"line": 0.5,
"sample": 2048.0
},
"starting_detector_line": 1,
"starting_detector_sample": 0.5,
"focal2pixel_lines": [
0,
142.85714285714286,
0
],
"focal2pixel_samples": [
0,
0,
-142.85714285714286
],
"optical_distortion": {
"kaguyalism": {
"x": [
-0.0009649900000000001,
0.00098441,
8.5773e-06,
-3.7438e-06
],
"y": [
-0.0013796,
1.3502e-05,
2.7251e-06,
-6.193800000000001e-06
],
"boresight_x": -0.0725,
"boresight_y": 0.0214
}
},
"image_lines": 400,
"image_samples": 3208,
"name_platform": "SELENE-M",
"name_sensor": "Terrain Camera 1",
"reference_height": {
"maxheight": 1000,
"minheight": -1000,
"unit": "m"
},
"name_model": "USGS_ASTRO_LINE_SCANNER_SENSOR_MODEL",
"interpolation_method": "lagrange",
"line_scan_rate": [
[
0.5,
-1.300000011920929,
0.006500000000000001
]
],
"starting_ephemeris_time": 292234259.82293594,
"center_ephemeris_time": 292234261.12293595,
"radii": {
"semimajor": 1737.4,
"semiminor": 1737.4,
"unit": "km"
},
"InstrumentPointing": {
"TimeDependentFrames": [
-131000,
1
],
"CkTableStartTime": 292234259.82293594,
"CkTableEndTime": 292234262.42293596,
"CkTableOriginalSize": 6,
"EphemerisTimes": [
292234259.82293594,
292234260.3429359,
292234260.86293596,
292234261.38293594,
292234261.902936,
292234262.42293596
],
"Quaternions": [
[
-0.11368345174719045,
0.09298596444784424,
0.2013930267438065,
-0.9684371595480613
],
[
-0.11372818465697028,
0.09275013166228546,
0.20136686301023998,
-0.9684599628134732
],
[
-0.11377291088720781,
0.09251429336685049,
0.2013406874257358,
-0.9684827091166966
],
[
-0.11381763041476521,
0.09227844968354312,
0.20131450000383497,
-0.9685053984459642
],
[
-0.11386136284512544,
0.09204252828147888,
0.20128777589296418,
-0.9685282620113198
],
[
-0.11390357201864484,
0.09180648978204593,
0.20126022810145933,
-0.968551426254611
]
],
"AngularVelocity": [
[
0.0030447825014591214,
0.00010000000000000005,
-0.0
],
[
0.002394782674312591,
9.999999999999994e-05,
-1.0842021724855044e-19
],
[
0.0017447826981544486,
0.00010000000000000002,
-1.0842021724855044e-19
],
[
0.0010947828710079189,
9.999999999999991e-05,
-5.421010862427522e-20
],
[
0.0007000000000000001,
0.00010000000000000005,
-0.0
],
[
0.0007,
9.999999999999999e-05,
-5.421010862427522e-20
]
],
"ConstantFrames": [
-131350,
-131320,
-131000
],
"ConstantRotation": [
0.9662180936858615,
-0.0009130086708890376,
-0.25772419725207507,
0.0007985363329952996,
0.9999995305599746,
-0.0005488347248289601,
0.25772457735688403,
0.0003244919061750129,
0.9662183691750111
]
},
"BodyRotation": {
"TimeDependentFrames": [
10020,
1
],
"CkTableStartTime": 292234259.82293594,
"CkTableEndTime": 292234262.42293596,
"CkTableOriginalSize": 6,
"EphemerisTimes": [
292234259.82293594,
292234260.3429359,
292234260.86293596,
292234261.38293594,
292234261.902936,
292234262.42293596
],
"Quaternions": [
[
-0.9366199858891122,
0.18349494110821096,
0.06855103875958304,
-0.2904709343561858
],
[
-0.9366201869031077,
0.1834949884829207,
0.06855091216702795,
-0.2904702861366526
],
[
-0.9366203879166877,
0.18349503585755036,
0.06855078557441907,
-0.29046963791687386
],
[
-0.9366205889297697,
0.1834950832320804,
0.06855065898180862,
-0.2904689896971154
],
[
-0.9366207899424527,
0.18349513060653444,
0.06855053238913389,
-0.29046834147705847
],
[
-0.9366209909546542,
0.18349517798089263,
0.06855040579644703,
-0.290467693256969
]
],
"AngularVelocity": [
[
5.82758225576212e-08,
-1.019441640177111e-06,
2.457874760396369e-06
],
[
5.827582244645205e-08,
-1.019441640485622e-06,
2.4578747604667534e-06
],
[
5.827582233528228e-08,
-1.0194416407941343e-06,
2.4578747605371393e-06
],
[
5.827582222411336e-08,
-1.0194416411026467e-06,
2.4578747606075235e-06
],
[
5.827582211294295e-08,
-1.0194416414111613e-06,
2.4578747606779094e-06
],
[
5.827582200177214e-08,
-1.0194416417196761e-06,
2.457874760748296e-06
]
]
},
"InstrumentPosition": {
"SpkTableStartTime": 292234259.82293594,
"SpkTableEndTime": 292234262.42293596,
"SpkTableOriginalSize": 6,
"EphemerisTimes": [
292234259.82293594,
292234260.3429359,
292234260.86293596,
292234261.38293594,
292234261.902936,
292234262.42293596
],
"Positions": [
[
242.79442620277422,
738.203001908958,
-1612.8925325032326
],
[
241.96952468156812,
738.0541005805137,
-1613.080201137811
],
[
241.14456766843796,
737.9050270542502,
-1613.2674980517477
],
[
240.31955525279045,
737.7557829990983,
-1613.4544224366548
],
[
239.49448725581178,
737.6063684523104,
-1613.6409743055701
],
[
238.66936379671102,
737.4567850753665,
-1613.827152851969
]
],
"Velocities": [
[
-1.5862908231149133,
-0.28618937128869254,
-0.3612582504333375
],
[
-1.5863982963215315,
-0.2865174779675076,
-0.36054196443450875
],
[
-1.5865054065150235,
-0.2868455207934169,
-0.3598255921378646
],
[
-1.5866121536530406,
-0.28717349961910793,
-0.3591091338577958
],
[
-1.586718537740638,
-0.28750141444799104,
-0.3583925895795086
],
[
-1.5868245587335799,
-0.2878292651335531,
-0.3576759596160613
]
]
},
"SunPosition": {
"SpkTableStartTime": 292234261.12293595,
"SpkTableEndTime": 292234261.12293595,
"SpkTableOriginalSize": 1,
"EphemerisTimes": [
292234261.12293595
],
"Positions": [
[
144178551.68571115,
37762451.38900038,
16383592.932550186
]
],
"Velocities": [
[
-7.182591994538903,
27.132956790118943,
11.856684753988956
]
]
}
}
tests/pytests/test_formatter.py 0 → 100644
+ 350
− 0
View file @ 2ef95bc8
import pytest
import json
import numpy as np
from ale.formatters import formatter
from ale.base.base import Driver
from ale.base.type_sensor import LineScanner, Framer
from ale.transformation import FrameChain
from ale.base.data_naif import NaifSpice
from ale.rotation import ConstantRotation, TimeDependentRotation
class TestDriver(Driver, NaifSpice):
"""
Test Driver implementation with dummy values
"""
@property
def target_body_radii(self):
return (1100, 1100, 1000)
@property
def frame_chain(self):
frame_chain = FrameChain()
body_rotation = TimeDependentRotation(
np.array([[0, 0, 0, 1], [0, 0, 0, 1]]),
np.array([800, 900]),
100,
1
)
frame_chain.add_edge(rotation=body_rotation)
spacecraft_rotation = TimeDependentRotation(
np.array([[0, 0, 0, 1], [0, 0, 0, 1]]),
np.array([800, 900]),
1000,
1
)
frame_chain.add_edge(rotation=spacecraft_rotation)
sensor_rotation = ConstantRotation(np.array([0, 0, 0, 1]), 1010, 1000)
frame_chain.add_edge(rotation=sensor_rotation)
return frame_chain
@property
def sample_summing(self):
return 2
@property
def line_summing(self):
return 4
@property
def focal_length(self):
return 500
@property
def detector_center_sample(self):
return 512
@property
def detector_start_line(self):
return 0
@property
def detector_start_sample(self):
return 8
@property
def usgscsm_distortion_model(self):
return {
'radial' : {
'coefficients' : [0.0, 1.0, 0.1]
}
}
@property
def platform_name(self):
return 'Test Platform'
@property
def ephemeris_start_time(self):
return 800
@property
def exposure_duration(self):
return 100
@property
def focal2pixel_lines(self):
return [0.1, 0.2, 0.3]
@property
def focal2pixel_samples(self):
return [0.3, 0.2, 0.1]
@property
def image_samples(self):
return 1024
@property
def sensor_frame_id(self):
return 1010
@property
def target_frame_id(self):
return 100
@property
def naif_keywords(self):
return {
'keyword_1' : 0,
'keyword_2' : 'test'
}
@property
def pixel2focal_x(self):
return [456, 3, 1]
@property
def pixel2focal_y(self):
return [28, 93, 5]
@property
def sensor_model_version(self):
return 1
@property
def target_name(self):
return 'Test Target'
class TestLineScanner(LineScanner, TestDriver):
"""
Test class for overriding properties from the LineScanner class.
"""
@property
def line_scan_rate(self):
return [[0.5], [-50], [0.01]]
@property
def sensor_name(self):
return 'Test Line Scan Sensor'
@property
def sensor_position(self):
return (
[[0, 1, 2], [3, 4, 5]],
[[0.03, 0.03, 0.03], [0.03, 0.03, 0.03]],
[800, 900]
)
@property
def sun_position(self):
return (
[[0, 1, 2], [3, 4, 5]],
[[0, -1, -2], [-3, -4, -5]],
[800, 900]
)
@property
def detector_center_line(self):
return 0.5
@property
def image_lines(self):
return 10000
@property
def exposure_duration(self):
return .01
@pytest.fixture
def driver():
return TestFramer('')
class TestFramer(Framer, TestDriver):
"""
Test class for overriding properties from the Framer class
"""
@property
def sensor_name(self):
return 'Test Frame Sensor'
@property
def sensor_position(self):
return (
[[0, 1, 2]],
[[0, -1, -2]],
[850]
)
@property
def sun_position(self):
return (
[[0, 1, 2]],
[[0, -1, -2]],
[850]
)
@property
def detector_center_line(self):
return 256
@property
def image_lines(self):
return 512
@pytest.fixture
def test_line_scan_driver():
return TestLineScanner("")
@pytest.fixture
def test_frame_driver():
return TestFramer("")
def test_frame_name_model(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
assert isd['name_model'] == 'USGS_ASTRO_FRAME_SENSOR_MODEL'
def test_line_scan_name_model(test_line_scan_driver):
isd = formatter.to_isd(test_line_scan_driver)
assert isd['name_model'] == 'USGS_ASTRO_LINE_SCANNER_SENSOR_MODEL'
def test_name_platform(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
assert isd['name_platform'] == 'Test Platform'
def test_name_sensor(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
assert isd['name_sensor'] == 'Test Frame Sensor'
def test_frame_center_ephemeris_time(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
assert isd['center_ephemeris_time'] == 850
def test_summing(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
assert isd['detector_sample_summing'] == 2
assert isd['detector_line_summing'] == 4
def test_focal_to_pixel(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
assert isd['focal2pixel_lines'] == [0.1, 0.2, 0.3]
assert isd['focal2pixel_samples'] == [0.3, 0.2, 0.1]
def test_focal_length(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
focal_model = isd['focal_length_model']
assert focal_model['focal_length'] == 500
def test_image_size(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
assert isd['image_lines'] == 512
assert isd['image_samples'] == 1024
def test_detector_center(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
detector_center = isd['detector_center']
assert detector_center['line'] == 256
assert detector_center['sample'] == 512
def test_distortion(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
optical_distortion = isd['optical_distortion']
assert optical_distortion['radial']['coefficients'] == [0.0, 1.0, 0.1]
def test_radii(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
radii_obj = isd['radii']
assert radii_obj['semimajor'] == 1100
assert radii_obj['semiminor'] == 1000
assert radii_obj['unit'] == 'km'
def test_reference_height(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
reference_height = isd['reference_height']
assert reference_height['maxheight'] == 1000
assert reference_height['minheight'] == -1000
assert reference_height['unit'] == 'm'
def test_detector_start(test_frame_driver):
isd = formatter.to_isd(test_frame_driver)
assert isd['starting_detector_line'] == 0
assert isd['starting_detector_sample'] == 8
def test_starting_ephemeris_time(test_line_scan_driver):
isd = formatter.to_isd(test_line_scan_driver)
assert isd['starting_ephemeris_time'] == 800
def test_line_scan_rate(test_line_scan_driver):
isd = formatter.to_isd(test_line_scan_driver)
assert isd['line_scan_rate'] == [[0.5, -50, 0.01]]
def test_interpolation_method(test_line_scan_driver):
isd = formatter.to_isd(test_line_scan_driver)
assert isd['interpolation_method'] == 'lagrange'
def test_camera_version(driver):
meta_data = formatter.to_isd(driver)
assert meta_data['IsisCameraVersion'] == 1
def test_instrument_pointing(driver):
meta_data = formatter.to_isd(driver)
pointing = meta_data['InstrumentPointing']
assert pointing['TimeDependentFrames'] == [1000, 1]
assert pointing['ConstantFrames'] == [1010, 1000]
np.testing.assert_equal(pointing['ConstantRotation'], np.array([1., 0., 0., 0., 1., 0., 0., 0., 1.]))
assert pointing['CkTableStartTime'] == 800
assert pointing['CkTableEndTime'] == 900
assert pointing['CkTableOriginalSize'] == 2
np.testing.assert_equal(pointing['EphemerisTimes'], np.array([800, 900]))
np.testing.assert_equal(pointing['Quaternions'], np.array([[-1, 0, 0, 0], [-1, 0, 0, 0]]))
def test_instrument_position(driver):
meta_data = formatter.to_isd(driver)
position = meta_data['InstrumentPosition']
assert position['SpkTableStartTime'] == 850
assert position['SpkTableEndTime'] == 850
assert position['SpkTableOriginalSize'] == 1
np.testing.assert_equal(position['EphemerisTimes'], np.array([850]))
np.testing.assert_equal(position['Positions'], np.array([[0, 0.001, 0.002]]))
np.testing.assert_equal(position['Velocities'], np.array([[0, -0.001, -0.002]]))
def test_body_rotation(driver):
meta_data = formatter.to_isd(driver)
rotation = meta_data['BodyRotation']
assert rotation['TimeDependentFrames'] == [100, 1]
assert rotation['CkTableStartTime'] == 800
assert rotation['CkTableEndTime'] == 900
assert rotation['CkTableOriginalSize'] == 2
np.testing.assert_equal(rotation['EphemerisTimes'], np.array([800, 900]))
np.testing.assert_equal(rotation['Quaternions'], np.array([[-1, 0, 0, 0], [-1, 0, 0, 0]]))
def test_sun_position(driver):
meta_data = formatter.to_isd(driver)
position = meta_data['SunPosition']
assert position['SpkTableStartTime'] == 850
assert position['SpkTableEndTime'] == 850
assert position['SpkTableOriginalSize'] == 1
np.testing.assert_equal(position['EphemerisTimes'], np.array([850]))
np.testing.assert_equal(position['Positions'], np.array([[0.0, 0.001, 0.002]]))
np.testing.assert_equal(position['Velocities'], np.array([[0.0, -0.001, -0.002]]))
def test_naif_keywords(driver):
meta_data = formatter.to_isd(driver)
assert meta_data['NaifKeywords'] == {
'keyword_1' : 0,
'keyword_2' : 'test'
}
tests/pytests/test_kaguya_drivers.py
+ 9
− 181
View file @ 2ef95bc8
...@@ -9,187 +9,15 @@ import json ...@@ -9,187 +9,15 @@ import json
import unittest import unittest
from unittest.mock import MagicMock, PropertyMock, patch from unittest.mock import MagicMock, PropertyMock, patch
from conftest import get_image_label, get_image_kernels, convert_kernels, compare_dicts from conftest import get_isd, get_image_label, get_image_kernels, convert_kernels, compare_dicts
import ale import ale
from ale.drivers.selene_drivers import KaguyaTcPds3NaifSpiceDriver from ale.drivers.selene_drivers import KaguyaTcPds3NaifSpiceDriver
image_dict = { image_dict = {
# Kaguya TC1 'TC1S2B0_01_06691S820E0465' : get_isd("kaguyatc"),
'TC1S2B0_01_06691S820E0465' : { 'MVA_2B2_01_02329N002E0302' : get_isd("kaguyami")
'usgscsm': {
'radii': {
'semimajor': 1737.4,
'semiminor': 1737.4,
'unit': 'km'},
'sensor_position': {
'positions': np.array([[195490.61933009, 211972.79163854, -1766965.21759375],
[194934.34274256, 211332.14192709, -1767099.36601459],
[194378.02078141, 210691.44358962, -1767233.10640484],
[193821.65246371, 210050.69819792, -1767366.43865632],
[193265.23762617, 209409.90567475, -1767499.36279925],
[192708.77531467, 208769.0676026, -1767631.87872367]]),
'velocities': np.array([[-1069.71186948, -1231.97377674, -258.3672068 ],
[-1069.80166655, -1232.06495814, -257.58238805],
[-1069.89121909, -1232.15585752, -256.7975062 ],
[-1069.98052705, -1232.24647484, -256.01256158],
[-1070.06959044, -1232.3368101, -255.2275542 ],
[-1070.15840923, -1232.42686325, -254.44248439]]),
'unit': 'm'},
'sun_position': {
'positions': np.array([[9.50465237e+10, 1.15903815e+11, 3.78729685e+09]]),
'velocities': np.array([[285707.13474515, -232731.15884149, 592.91742112]]),
'unit': 'm'},
'sensor_orientation': {
'quaternions': np.array([[-0.19095485, -0.08452708, 0.88748467, -0.41080698],
[-0.19073945, -0.08442789, 0.88753312, -0.41082276],
[-0.19052404, -0.08432871, 0.88758153, -0.41083852],
[-0.19030862, -0.08422952, 0.88762988, -0.41085426],
[-0.19009352, -0.08412972, 0.88767854, -0.41086914],
[-0.18987892, -0.08402899, 0.88772773, -0.41088271]])},
'detector_sample_summing': 1,
'detector_line_summing': 1,
'focal_length_model': {
'focal_length': 72.45},
'detector_center': {
'line': 0.5,
'sample': 2048.0},
'starting_detector_line': 1,
'starting_detector_sample': .5,
'focal2pixel_lines': [0, 142.85714285714286, 0],
'focal2pixel_samples': [0, 0, -142.85714285714286],
'optical_distortion': {
'kaguyalism': {
'x': [-0.0009649900000000001, 0.00098441, 8.5773e-06, -3.7438e-06],
'y': [-0.0013796, 1.3502e-05, 2.7251e-06, -6.193800000000001e-06],
'boresight_x' : -0.0725,
'boresight_y' : 0.0214}},
'image_lines': 400,
'image_samples': 3208,
'name_platform': 'SELENE-M',
'name_sensor': 'Terrain Camera 1',
'reference_height': {
'maxheight': 1000,
'minheight': -1000,
'unit': 'm'},
'name_model': 'USGS_ASTRO_LINE_SCANNER_SENSOR_MODEL',
'interpolation_method': 'lagrange',
'line_scan_rate': [[0.5, -1.300000011920929, 0.006500000000000001]],
'starting_ephemeris_time': 292234259.82293594,
'center_ephemeris_time': 292234261.12293595,
't0_ephemeris': -1.300000011920929,
'dt_ephemeris': 0.5200000047683716,
't0_quaternion': -1.300000011920929,
'dt_quaternion': 0.5200000047683716
}
},
'MVA_2B2_01_02329N002E0302' : {
'usgscsm': {
"radii": {
"semimajor": 1737.4,
"semiminor": 1737.4,
"unit": "km"
},
"sensor_position": {
"positions":
[[1581631.170967984, 918816.7454749601, 17359.778053074166],
[1581653.6518666577, 918814.107469728, 15896.70384782562],
[1581675.125610955, 918810.8848940814, 14433.619458749732],
[1581695.5934041755, 918807.0763904197, 12970.525577080793],
[1581715.0540239091, 918802.6833137124, 11507.423371723235],
[1581733.5087290092, 918797.7043282809, 10044.31354866982],
[1581750.956214992, 918792.1408047304, 8581.197251839967],
[1581767.397120705, 918785.9920686551, 7118.075256110188],
[1581782.832060649, 918779.2574662118, 5654.948478420991],
[1581797.2597721093, 918771.9383358458, 4191.818019885403],
[1581810.6815028861, 918764.0333783475, 2728.6845793242946],
[1581823.0960200944, 918755.5439313636, 1265.5493310270317],
[1581834.5045334753, 918746.4686686409, -197.58704133484173],
[1581844.9058070402, 918736.8089392016, -1660.7233725491283],
[1581854.3010902032, 918726.5634377429, -3123.8589609802857]],
"velocities":
[[25.783286973637825, -2.6305942733908934, -1641.2662531260032],
[24.6541610233529, -3.2871454607723085, -1641.2783248089215],
[23.52502323352204, -3.943685198289895, -1641.289353750218],
[22.395874155219467, -4.600213174108102, -1641.2993399473512],
[21.26671464756069, -5.256728894126663, -1641.3082833954215],
[20.137545263644594, -5.913232045800747, -1641.3161840918588],
[19.008366863699095, -6.5697221353508475, -1641.3230420322975],
[17.87918004057494, -7.226198826543763, -1641.3288572140555],
[16.749985499845394, -7.88266171782453, -1641.3336296337216],
[15.620784065823575, -8.539110335934271, -1641.337359287963],
[14.491576292730104, -9.19554436926745, -1641.3400461741676],
[13.36236304437793, -9.85196332233081, -1641.3416902893532],
[12.23314487464595, -10.508366882000841, -1641.3422916309216],
[11.103922649257456, -11.164754553522712, -1641.341850196455],
[9.974696922853957, -11.821126023917325, -1641.3403659833964]],
"unit": "m"
},
"sun_position": {
"positions": [[108404801770.5306, 104307744789.75961, 3666393216.4922094]],
"velocities": [[257322.0926607856, -265899.8379709762, 700.5524232754503]],
"unit": "m"
},
"sensor_orientation": {
"quaternions":
[[0.6841290215141231, 0.18168313624920118, -0.6816280982629065, 0.18531555677620887],
[0.6838528388829476, 0.18161279386087273, -0.6819012144243979, 0.18539908744196368],
[0.6835758239500531, 0.18154309699572227, -0.6821746518347966, 0.18548299447195182],
[0.6832967471554302, 0.18147561929758188, -0.6824496703005432, 0.18556562837456525],
[0.6830162583395626, 0.18140960968119488, -0.6827257032744798, 0.18564740355713963],
[0.6827351210778349, 0.18134352304219054, -0.6830025370795092, 0.18572779932049618],
[0.6824529044894799, 0.1812773209250331, -0.6832809057747644, 0.18580573154704597],
[0.6821706589155502, 0.18121103113539608, -0.6835592153840321, 0.18588317130159213],
[0.681888970523384, 0.18114425688445818, -0.683837844473224, 0.1859569642217031],
[0.6816071682054932, 0.1810774530787411, -0.6841163595700203, 0.1860307254355251],
[0.681327502040239, 0.18100853678321963, -0.6843942771188167, 0.18610002155351393],
[0.6810480612976251, 0.1809392785030075, -0.6846720093765764, 0.18616862054008748],
[0.6807714840034947, 0.18086571980771243, -0.6849487531729829, 0.18623367980280572],
[0.6804965752593046, 0.18078957882144664, -0.6852248624334619, 0.1862966106856612],
[0.6802234034550377, 0.18071156643840802, -0.6854997575134238, 0.1863586155681002]]
},
"detector_sample_summing": 1,
"detector_line_summing": 1,
"focal_length_model": {
"focal_length": 65.4
},
"detector_center": {
"line": 0.5,
"sample": 483.5
},
"starting_detector_line": 0,
"starting_detector_sample": 0,
"focal2pixel_lines": [0, 76.92307692307692, 0],
"focal2pixel_samples": [0, 0, -76.92307692307692],
"optical_distortion": {
"kaguyalism": {
"x": [2.8912e-19, 0.00020899000000000002, 4.7727000000000006e-05],
"y": [-1.0119e-18, 0.0034982, 1.9597e-05],
"boresight_x": -0.0060,
"boresight_y": -0.0187
}
},
"image_lines": 960,
"image_samples": 962,
"name_platform": "SELENE MAIN ORBITER",
"name_sensor": "MULTIBAND IMAGER VISIBLE",
"reference_height": {
"maxheight": 1000,
"minheight": -1000,
"unit": "m"
},
"name_model": "USGS_ASTRO_LINE_SCANNER_SENSOR_MODEL",
"interpolation_method": "lagrange",
"line_scan_rate": [[0.5, -6.239987522363663, 0.012999974000000001]],
"starting_ephemeris_time": 261664552.50899568,
"center_ephemeris_time": 261664558.7489832,
"t0_ephemeris": -6.239987522363663,
"dt_ephemeris": 0.8914267889090947,
"t0_quaternion": -6.239987522363663,
"dt_quaternion": 0.8914267889090947
}
}
} }
...@@ -206,16 +34,16 @@ def test_kernels(): ...@@ -206,16 +34,16 @@ def test_kernels():
os.remove(kern) os.remove(kern)
@pytest.mark.parametrize("label_type", ['pds3']) @pytest.mark.parametrize("label_type", ['pds3'])
@pytest.mark.parametrize("formatter", ['usgscsm'])
@pytest.mark.parametrize("image", image_dict.keys()) @pytest.mark.parametrize("image", image_dict.keys())
def test_kaguya_load(test_kernels, label_type, formatter, image): def test_kaguya_load(test_kernels, label_type, image):
label_file = get_image_label(image, label_type) label_file = get_image_label(image, label_type)
usgscsm_isd_str = ale.loads(label_file, props={'kernels': test_kernels[image]}, formatter=formatter) isd_str = ale.loads(label_file, props={'kernels': test_kernels[image]})
usgscsm_isd_obj = json.loads(usgscsm_isd_str) isd_obj = json.loads(isd_str)
print(json.dumps(usgscsm_isd_obj, indent=2)) print(json.dumps(isd_obj, indent=2))
assert compare_dicts(isd_obj, image_dict[image]) == []
assert compare_dicts(usgscsm_isd_obj, image_dict[image][formatter]) == []
# ========= Test pdslabel and naifspice driver ========= # ========= Test pdslabel and naifspice driver =========
class test_pds_naif(unittest.TestCase): class test_pds_naif(unittest.TestCase):
......
tests/pytests/test_usgscsm_formatter.py
+ 1
− 1
View file @ 2ef95bc8
...@@ -106,7 +106,7 @@ class TestDriver(Driver, NaifSpice): ...@@ -106,7 +106,7 @@ class TestDriver(Driver, NaifSpice):
return 100 return 100
@property @property
def naif_keywords(self): def isis_naif_keywords(self):
return { return {
'keyword_1' : 0, 'keyword_1' : 0,
'keyword_2' : 'test' 'keyword_2' : 'test'
......
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