Hide keyboard shortcuts

Hot-keys on this page

r m x p   toggle line displays

j k   next/prev highlighted chunk

0   (zero) top of page

1   (one) first highlighted chunk

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

61

62

63

64

65

66

67

68

69

70

71

72

73

74

75

76

77

78

79

80

81

82

83

84

85

86

87

88

89

90

91

92

93

94

95

96

97

98

99

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

from builtins import zip 

import numpy as np 

import numpy.ma as ma 

import matplotlib 

matplotlib.use("Agg") 

import healpy as hp 

import unittest 

import lsst.sims.maf.slicers as slicers 

import lsst.utils.tests 

 

 

class TestSlicers(unittest.TestCase): 

 

def setUp(self): 

self.filenames = [] 

self.baseslicer = slicers.BaseSlicer() 

 

def test_healpixSlicer_obj(self): 

rng = np.random.RandomState(8121) 

nside = 32 

slicer = slicers.HealpixSlicer(nside=nside) 

metricValues = rng.rand(hp.nside2npix(nside)).astype('object') 

metricValues = ma.MaskedArray(data=metricValues, 

mask=np.where(metricValues < .1, True, False), 

fill_value=slicer.badval) 

with lsst.utils.tests.getTempFilePath('.npz') as filename: 

metadata = 'testdata' 

slicer.writeData(filename, metricValues, metadata=metadata) 

metricValuesBack, slicerBack, header = self.baseslicer.readData(filename) 

np.testing.assert_almost_equal(metricValuesBack, metricValues) 

assert(slicer == slicerBack) 

assert(metadata == header['metadata']) 

attr2check = ['nside', 'nslice', 'columnsNeeded', 'lonCol', 'latCol'] 

for att in attr2check: 

assert(getattr(slicer, att) == getattr(slicerBack, att)) 

 

def test_healpixSlicer_floats(self): 

rng = np.random.RandomState(71231) 

nside = 32 

slicer = slicers.HealpixSlicer(nside=nside) 

metricValues = rng.rand(hp.nside2npix(nside)) 

with lsst.utils.tests.getTempFilePath('.npz') as filename: 

slicer.writeData(filename, metricValues, metadata='testdata') 

metricValuesBack, slicerBack, header = self.baseslicer.readData(filename) 

np.testing.assert_almost_equal(metricValuesBack, metricValues) 

assert(slicer == slicerBack) 

attr2check = ['nside', 'nslice', 'columnsNeeded', 'lonCol', 'latCol'] 

for att in attr2check: 

assert(getattr(slicer, att) == getattr(slicerBack, att)) 

 

def test_healpixSlicer_masked(self): 

rng = np.random.RandomState(712551) 

nside = 32 

slicer = slicers.HealpixSlicer(nside=nside) 

metricValues = rng.rand(hp.nside2npix(nside)) 

metricValues = ma.MaskedArray(data=metricValues, 

mask=np.where(metricValues < .1, True, False), 

fill_value=slicer.badval) 

with lsst.utils.tests.getTempFilePath('.npz') as filename: 

slicer.writeData(filename, metricValues, metadata='testdata') 

metricValuesBack, slicerBack, header = self.baseslicer.readData(filename) 

np.testing.assert_almost_equal(metricValuesBack, metricValues) 

assert(slicer == slicerBack) 

attr2check = ['nside', 'nslice', 'columnsNeeded', 'lonCol', 'latCol'] 

for att in attr2check: 

assert(getattr(slicer, att) == getattr(slicerBack, att)) 

 

def test_oneDSlicer(self): 

rng = np.random.RandomState(71111) 

slicer = slicers.OneDSlicer(sliceColName='testdata') 

dataValues = np.zeros(10000, dtype=[('testdata', 'float')]) 

dataValues['testdata'] = rng.rand(10000) 

slicer.setupSlicer(dataValues) 

with lsst.utils.tests.getTempFilePath('.npz') as filename: 

slicer.writeData(filename, dataValues[:100]) 

dataBack, slicerBack, header = self.baseslicer.readData(filename) 

assert(slicer == slicerBack) 

# np.testing.assert_almost_equal(dataBack,dataValues[:100]) 

attr2check = ['nslice', 'columnsNeeded'] 

for att in attr2check: 

if type(getattr(slicer, att)).__module__ == 'numpy': 

np.testing.assert_almost_equal(getattr(slicer, att), getattr(slicerBack, att)) 

else: 

assert(getattr(slicer, att) == getattr(slicerBack, att)) 

 

def test_opsimFieldSlicer(self): 

rng = np.random.RandomState(7442) 

slicer = slicers.OpsimFieldSlicer() 

names = ['fieldRA', 'fieldDec', 'fieldId'] 

dt = ['float', 'float', 'int'] 

metricValues = rng.rand(100) 

fieldData = np.zeros(100, dtype=list(zip(names, dt))) 

fieldData['fieldRA'] = rng.rand(100) 

fieldData['fieldDec'] = rng.rand(100) 

fieldData['fieldId'] = np.arange(100) 

names = ['data1', 'data2', 'fieldId'] 

simData = np.zeros(100, dtype=list(zip(names, dt))) 

simData['data1'] = rng.rand(100) 

simData['fieldId'] = np.arange(100) 

slicer.setupSlicer(simData, fieldData) 

with lsst.utils.tests.getTempFilePath('.npz') as filename: 

slicer.writeData(filename, metricValues) 

metricBack, slicerBack, header = self.baseslicer.readData(filename) 

assert(slicer == slicerBack) 

np.testing.assert_almost_equal(metricBack, metricValues) 

attr2check = ['nslice', 'columnsNeeded', 'lonCol', 'latCol', 'simDataFieldIdColName'] 

for att in attr2check: 

if type(getattr(slicer, att)).__name__ == 'dict': 

for key in getattr(slicer, att): 

np.testing.assert_almost_equal(getattr(slicer, att)[key], 

getattr(slicerBack, att)[key]) 

else: 

assert(getattr(slicer, att) == getattr(slicerBack, att)) 

 

def test_unislicer(self): 

rng = np.random.RandomState(34229) 

slicer = slicers.UniSlicer() 

data = np.zeros(1, dtype=[('testdata', 'float')]) 

data[:] = rng.rand(1) 

slicer.setupSlicer(data) 

with lsst.utils.tests.getTempFilePath('.npz') as filename: 

metricValue = np.array([25.]) 

slicer.writeData(filename, metricValue) 

dataBack, slicerBack, header = self.baseslicer.readData(filename) 

assert(slicer == slicerBack) 

np.testing.assert_almost_equal(dataBack, metricValue) 

attr2check = ['nslice', 'columnsNeeded'] 

for att in attr2check: 

assert(getattr(slicer, att) == getattr(slicerBack, att)) 

 

def test_complex(self): 

# Test case where there is a complex metric 

rng = np.random.RandomState(5442) 

nside = 8 

slicer = slicers.HealpixSlicer(nside=nside) 

data = np.zeros(slicer.nslice, dtype='object') 

for i, ack in enumerate(data): 

n_el = rng.rand(1)*4 # up to 4 elements 

data[i] = np.arange(n_el) 

with lsst.utils.tests.getTempFilePath('.npz') as filename: 

slicer.writeData(filename, data) 

dataBack, slicerBack, header = self.baseslicer.readData(filename) 

assert(slicer == slicerBack) 

# This is a crazy slow loop! 

for i, ack in enumerate(data): 

np.testing.assert_almost_equal(dataBack[i], data[i]) 

 

def test_nDSlicer(self): 

rng = np.random.RandomState(621) 

colnames = ['test1', 'test2', 'test3'] 

data = [] 

for c in colnames: 

data.append(rng.rand(1000)) 

dv = np.core.records.fromarrays(data, names=colnames) 

slicer = slicers.NDSlicer(colnames, binsList=10) 

slicer.setupSlicer(dv) 

with lsst.utils.tests.getTempFilePath('.npz') as filename: 

metricdata = np.zeros(slicer.nslice, dtype='float') 

for i, s in enumerate(slicer): 

metricdata[i] = i 

slicer.writeData(filename, metricdata) 

dataBack, slicerBack, header = self.baseslicer.readData(filename) 

assert(slicer == slicerBack) 

np.testing.assert_almost_equal(dataBack, metricdata) 

 

 

class TestMemory(lsst.utils.tests.MemoryTestCase): 

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

175 ↛ 176line 175 didn't jump to line 176, because the condition on line 175 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()