pytroll /
pyspectral
| @@ 75-106 (lines=32) @@ | ||
| 72 | dtype='float32') |
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| 73 | ||
| 74 | ||
| 75 | class RsrTestData(object): |
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| 76 | ||
| 77 | """Container for the RSR test datasets""" |
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| 78 | ||
| 79 | def __init__(self): |
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| 80 | self.rsr = {} |
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| 81 | channel_names = ['ch12', 'ch13', 'ch10', 'ch11', 'ch16', 'ch14', |
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| 82 | 'ch15', 'ch1', 'ch2', 'ch3', 'ch4', 'ch5', 'ch6', |
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| 83 | 'ch7', 'ch8', 'ch9'] |
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| 84 | wvl = [9.6372744012936646, 10.407492196078628, 7.3468642293967275, |
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| 85 | 8.5926867614178715, 13.280724258676756, 11.239642285822033, |
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| 86 | 12.380741429961382, 0.47063607733748003, 0.5099976405799187, |
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| 87 | 0.63914891611559055, 0.85668832355426627, 1.6100814361999056, |
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| 88 | 2.2568056299864101, 3.8853663735353847, 6.2428987228916233, |
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| 89 | 6.9411756334211789] |
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| 90 | ch3_wvl = np.array([0.55518544, 0.56779468, 0.58099002, 0.59481323, 0.60931027, |
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| 91 | 0.62453163, 0.64053291, 0.65737575, 0.67512828, 0.69386619, |
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| 92 | 0.71367401]) |
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| 93 | ch3_resp = np.array([2.61000005e-05, 1.07899999e-04, 3.26119992e-03, |
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| 94 | 2.90650606e-01, 9.02460396e-01, 9.60878074e-01, |
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| 95 | 9.97266889e-01, 9.94823873e-01, 7.18220174e-01, |
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| 96 | 8.31819978e-03, 9.34999989e-05]) |
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| 97 | ||
| 98 | idx = 0 |
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| 99 | for chname in channel_names: |
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| 100 | self.rsr[chname] = {'det-1': {}} |
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| 101 | self.rsr[chname]['det-1']['central_wavelength'] = wvl[idx] |
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| 102 | idx = idx + 1 |
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| 103 | ||
| 104 | chname = 'ch3' |
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| 105 | self.rsr[chname]['det-1']['wavelength'] = ch3_wvl |
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| 106 | self.rsr[chname]['det-1']['response'] = ch3_resp |
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| 107 | ||
| 108 | ||
| 109 | class TestUtils(unittest.TestCase): |
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| @@ 56-89 (lines=34) @@ | ||
| 53 | ||
| 54 | # sys.modules['pyresample'] = MagicMock() |
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| 55 | ||
| 56 | ||
| 57 | class RelativeSpectralResponseTestData(object): |
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| 58 | ||
| 59 | """RSR test data""" |
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| 60 | ||
| 61 | def __init__(self): |
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| 62 | """Making a testdata set of relative spectral responses""" |
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| 63 | ||
| 64 | self.rsr = {} |
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| 65 | channel_names = ['ch12', 'ch13', 'ch10', 'ch11', 'ch16', 'ch14', |
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| 66 | 'ch15', 'ch1', 'ch2', 'ch3', 'ch4', 'ch5', 'ch6', |
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| 67 | 'ch7', 'ch8', 'ch9'] |
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| 68 | wvl = [9.6372744012936646, 10.407492196078628, 7.3468642293967275, |
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| 69 | 8.5926867614178715, 13.280724258676756, 11.239642285822033, |
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| 70 | 12.380741429961382, 0.47063607733748003, 0.5099976405799187, |
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| 71 | 0.63914891611559055, 0.85668832355426627, 1.6100814361999056, |
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| 72 | 2.2568056299864101, 3.8853663735353847, 6.2428987228916233, |
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| 73 | 6.9411756334211789] |
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| 74 | ch3_wvl = np.array([0.55518544, 0.56779468, 0.58099002, 0.59481323, 0.60931027, |
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| 75 | 0.62453163, 0.64053291, 0.65737575, 0.67512828, 0.69386619, |
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| 76 | 0.71367401]) |
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| 77 | ch3_resp = np.array([2.61000005e-05, 1.07899999e-04, 3.26119992e-03, |
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| 78 | 2.90650606e-01, 9.02460396e-01, 9.60878074e-01, |
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| 79 | 9.97266889e-01, 9.94823873e-01, 7.18220174e-01, |
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| 80 | 8.31819978e-03, 9.34999989e-05]) |
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| 81 | ||
| 82 | idx = 0 |
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| 83 | for chname in channel_names: |
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| 84 | self.rsr[chname] = {'det-1': {}} |
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| 85 | self.rsr[chname]['det-1']['central_wavelength'] = wvl[idx] |
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| 86 | idx = idx + 1 |
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| 87 | ||
| 88 | chname = 'ch3' |
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| 89 | self.rsr[chname]['det-1']['wavelength'] = ch3_wvl |
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| 90 | self.rsr[chname]['det-1']['response'] = ch3_resp |
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| 91 | ||
| 92 | ||
