Olga Sergijenko / ctools

Commit 88e351a66bf55f556f27b907ebf98690d6b87d96

Authored by Jürgen Knödlseder
1 parent 1691ebb4

Speed up ctools unit tests

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Showing 10 changed files with 54 additions and 22 deletions
cscripts/Makefile.am
  View file @88e351a
... ... @@ -218,7 +218,8 @@ testdata = $(top_srcdir)/test/data/crab.xml \
218 218 $(top_srcdir)/test/data/onoff_pha_on2.fits.gz \
219 219 $(top_srcdir)/test/data/onoff_rmf.fits.gz \
220 220 $(top_srcdir)/test/data/onoff_rmf1.fits.gz \
221   - $(top_srcdir)/test/data/onoff_rmf2.fits.gz
  221 + $(top_srcdir)/test/data/onoff_rmf2.fits.gz \
  222 + $(top_srcdir)/test/data/model_crab_radialacceptance.xml
222 223  
223 224 # Test data to be distributed in $(pyexecdir)/cscripts/tests/data/iactdata
224 225 testiactdata = $(top_srcdir)/test/data/iactdata/hdu-index.fits.gz \
... ...
test/data/crab.xml
  View file @88e351a
... ... @@ -11,7 +11,7 @@
11 11 <parameter name="DEC" scale="1.0" value="22.0145" min="-90" max="90" free="0"/>
12 12 </spatialModel>
13 13 </source>
14   - <source name="CTABackgroundModel" type="CTAIrfBackground" instrument="CTA">
  14 + <source name="Background" type="CTAIrfBackground" instrument="CTA">
15 15 <spectrum type="PowerLaw">
16 16 <parameter name="Prefactor" scale="1.0" value="1.0" min="1e-3" max="1e+3" free="1"/>
17 17 <parameter name="Index" scale="1.0" value="0.0" min="-5.0" max="+5.0" free="1"/>
... ...
test/data/model_crab_radialacceptance.xml 0 → 100644
  View file @88e351a
  1 +<?xml version="1.0" standalone="no"?>
  2 +<source_library title="source library">
  3 + <source name="Crab" type="PointSource">
  4 + <spectrum type="PowerLaw">
  5 + <parameter name="Prefactor" scale="1e-16" value="5.7" min="1e-07" max="1000.0" free="1"/>
  6 + <parameter name="Index" scale="-1" value="2.48" min="0.0" max="+5.0" free="1"/>
  7 + <parameter name="PivotEnergy" scale="1e6" value="0.3" min="0.01" max="1000.0" free="0"/>
  8 + </spectrum>
  9 + <spatialModel type="PointSource">
  10 + <parameter name="RA" scale="1.0" value="83.6331" min="-360" max="360" free="0"/>
  11 + <parameter name="DEC" scale="1.0" value="22.0145" min="-90" max="90" free="0"/>
  12 + </spatialModel>
  13 + </source>
  14 + <source name="Background" type="RadialAcceptance" instrument="CTA">
  15 + <spectrum type="PowerLaw">
  16 + <parameter name="Prefactor" scale="1e-6" value="61.8" min="0.0" max="1000.0" free="1"/>
  17 + <parameter name="Index" scale="-1" value="1.85" min="0.0" max="+5.0" free="1"/>
  18 + <parameter name="PivotEnergy" scale="1e6" value="1.0" min="0.01" max="1000.0" free="0"/>
  19 + </spectrum>
  20 + <radialModel type="Gaussian">
  21 + <parameter name="Sigma" scale="1.0" value="3.0" min="0.01" max="10.0" free="0"/>
  22 + </radialModel>
  23 + </source>
  24 +</source_library>
... ...
test/test_cspull.py
  View file @88e351a
... ... @@ -43,6 +43,7 @@ class Test(test):
43 43 test.__init__(self)
44 44  
45 45 # Set members
  46 + self._model = self._datadir + '/model_crab_radialacceptance.xml'
46 47 self._inobs = self._datadir + '/obs_stacked.xml'
47 48 self._inobs_two = self._datadir + '/obs_stacked_two.xml'
48 49 self._stacked_model = self._datadir + '/crab_bkgcube.xml'
... ...
test/test_cssens.py
  View file @88e351a
... ... @@ -42,6 +42,9 @@ class Test(test):
42 42 # Call base class constructor
43 43 test.__init__(self)
44 44  
  45 + # Set test data
  46 + self._model = self._datadir + '/model_crab_radialacceptance.xml'
  47 +
45 48 # Return
46 49 return
47 50  
... ...
test/test_csworkflow.py
  View file @88e351a
... ... @@ -149,10 +149,10 @@ class Test(test):
149 149 self.test_value(models['Crab'][3].value(),
150 150 -2.45753747320273, 1.0e-4 * 2.45753747320273,
151 151 'Check Crab index')
152   - self.test_value(models['CTABackgroundModel'][0].value(),
  152 + self.test_value(models['Background'][0].value(),
153 153 1.0444753409474, 1.0e-4 * 1.0444753409474,
154 154 'Check background model prefactor')
155   - self.test_value(models['CTABackgroundModel'][1].value(),
  155 + self.test_value(models['Background'][1].value(),
156 156 0.0126628793551562, 1.0e-4 * 0.0126628793551562,
157 157 'Check background model index')
158 158  
... ...
test/test_cterror.py
  View file @88e351a
... ... @@ -275,16 +275,16 @@ class Test(test):
275 275 self.test_value(models['Crab']['Index'].error(),
276 276 0.0366617454398694, 1.0e-3 * 0.0366617454398694,
277 277 'Check Crab Index error')
278   - self.test_value(models['CTABackgroundModel']['Prefactor'].value(),
  278 + self.test_value(models['Background']['Prefactor'].value(),
279 279 1.01525433446138, 1.0e-4 * 1.01525433446138,
280 280 'Check fitted background Prefactor')
281   - self.test_value(models['CTABackgroundModel']['Prefactor'].error(),
  281 + self.test_value(models['Background']['Prefactor'].error(),
282 282 0.0334412516391298, 1.0e-4 * 0.0334412516391298,
283 283 'Check background Prefactor error')
284   - self.test_value(models['CTABackgroundModel']['Index'].value(),
  284 + self.test_value(models['Background']['Index'].value(),
285 285 -0.005132848897274, 1.0e-3 * 0.005132848897274,
286 286 'Check fitted background Index')
287   - self.test_value(models['CTABackgroundModel']['Index'].error(),
  287 + self.test_value(models['Background']['Index'].error(),
288 288 0.0200624490548333, 1.0e-4 * 0.0200624490548333,
289 289 'Check background Index error')
290 290  
... ...
test/test_ctlike.py
  View file @88e351a
... ... @@ -265,16 +265,16 @@ class Test(test):
265 265 self.test_value(models['Crab']['Index'].error(),
266 266 0.0386777873333435, 1.0e-4 * 0.0386777873333435,
267 267 'Check Crab Index error')
268   - self.test_value(models['CTABackgroundModel']['Prefactor'].value(),
  268 + self.test_value(models['Background']['Prefactor'].value(),
269 269 1.01525433446138, 1.0e-4 * 1.01525433446138,
270 270 'Check fitted background Prefactor')
271   - self.test_value(models['CTABackgroundModel']['Prefactor'].error(),
  271 + self.test_value(models['Background']['Prefactor'].error(),
272 272 0.0334412516391298, 1.0e-4 * 0.0334412516391298,
273 273 'Check background Prefactor error')
274   - self.test_value(models['CTABackgroundModel']['Index'].value(),
  274 + self.test_value(models['Background']['Index'].value(),
275 275 -0.005132848897274, 1.0e-3 * 0.005132848897274,
276 276 'Check fitted background Index')
277   - self.test_value(models['CTABackgroundModel']['Index'].error(),
  277 + self.test_value(models['Background']['Index'].error(),
278 278 0.0200624490548333, 1.0e-4 * 0.0200624490548333,
279 279 'Check background Index error')
280 280  
... ...
test/test_ctprob.py
  View file @88e351a
... ... @@ -220,7 +220,7 @@ class Test(test):
220 220 self._check_events(events, nevents=nevents)
221 221  
222 222 # Check that probability columns exist
223   - colname1 = 'PROB_CTABackgroundModel'
  223 + colname1 = 'PROB_Background'
224 224 colname2 = 'PROB_Crab'
225 225 self._check_column(filename, colname1)
226 226 self._check_column(filename, colname2)
... ...
test/test_obsutils.py
  View file @88e351a
... ... @@ -39,6 +39,9 @@ class Test(test):
39 39 # Call base class constructor
40 40 test.__init__(self)
41 41  
  42 + # Set test data
  43 + self._model = self._datadir + '/model_crab_radialacceptance.xml'
  44 +
42 45 # Return
43 46 return
44 47  
... ... @@ -113,14 +116,14 @@ class Test(test):
113 116 # Check simulation results
114 117 self.test_value(res.size(), 1, 'Check number of observations')
115 118 self.test_value(res.models().size(), 2, 'Check number of models')
116   - self.test_value(res.nobserved(), 6, 'Check number of observed events')
  119 + self.test_value(res.nobserved(), 4, 'Check number of observed events')
117 120 self.test_value(res.npred(), 0.0, 'Check number of predicted events')
118 121 self.test_value(res[0].eventtype(), 'EventList', 'Check event type')
119 122 self.test_value(res[0].events().ebounds().emin().TeV(), 1.0,
120 123 'Check minimum energy')
121 124 self.test_value(res[0].events().ebounds().emax().TeV(), 10.0,
122 125 'Check minimum energy')
123   - self.test_value(res[0].events().number(), 6,
  126 + self.test_value(res[0].events().number(), 4,
124 127 'Check number of events in list')
125 128  
126 129 # Check energy dispersion flag
... ... @@ -144,7 +147,7 @@ class Test(test):
144 147 # Check simulation results
145 148 self.test_value(res.size(), 1, 'Check number of observations')
146 149 self.test_value(res.models().size(), 2, 'Check number of models')
147   - self.test_value(res.nobserved(), 6, 'Check number of observed events')
  150 + self.test_value(res.nobserved(), 4, 'Check number of observed events')
148 151 self.test_value(res.npred(), 0.0, 'Check number of predicted events')
149 152 self.test_value(res[0].eventtype(), 'CountsCube', 'Check event type')
150 153 self.test_value(res[0].events().ebounds().emin().TeV(), 1.0,
... ... @@ -153,7 +156,7 @@ class Test(test):
153 156 'Check minimum energy')
154 157 self.test_value(res[0].events().ebounds().size(), 5,
155 158 'Check number of energy bins')
156   - self.test_value(res[0].events().number(), 6,
  159 + self.test_value(res[0].events().number(), 4,
157 160 'Check number of events in cube')
158 161  
159 162 # Check energy dispersion flag
... ... @@ -177,7 +180,7 @@ class Test(test):
177 180 # Check simulation results
178 181 self.test_value(res.size(), 1, 'Check number of observations')
179 182 self.test_value(res.models().size(), 2, 'Check number of models')
180   - self.test_value(res.nobserved(), 19, 'Check number of observed events')
  183 + self.test_value(res.nobserved(), 15, 'Check number of observed events')
181 184 self.test_value(res.npred(), 0.0, 'Check number of predicted events')
182 185 self.test_value(res[0].eventtype(), 'CountsCube', 'Check event type')
183 186 self.test_value(res[0].events().ebounds().emin().TeV(), 1.0,
... ... @@ -186,7 +189,7 @@ class Test(test):
186 189 'Check minimum energy')
187 190 self.test_value(res[0].events().ebounds().size(), 5,
188 191 'Check number of energy bins')
189   - self.test_value(res[0].events().number(), 19,
  192 + self.test_value(res[0].events().number(), 15,
190 193 'Check number of events in cube')
191 194  
192 195 # Check energy dispersion flag
... ... @@ -211,7 +214,7 @@ class Test(test):
211 214 # Check simulation results
212 215 self.test_value(res.size(), 1, 'Check number of observations')
213 216 self.test_value(res.models().size(), 2, 'Check number of models')
214   - self.test_value(res.nobserved(), 28, 'Check number of observed events')
  217 + self.test_value(res.nobserved(), 24, 'Check number of observed events')
215 218 self.test_value(res.npred(), 0.0, 'Check number of predicted events')
216 219 self.test_value(res[0].eventtype(), 'CountsCube', 'Check event type')
217 220 self.test_value(res[0].events().ebounds().emin().TeV(), 1.0,
... ... @@ -220,7 +223,7 @@ class Test(test):
220 223 'Check minimum energy')
221 224 self.test_value(res[0].events().ebounds().size(), 5,
222 225 'Check number of energy bins')
223   - self.test_value(res[0].events().number(), 28,
  226 + self.test_value(res[0].events().number(), 24,
224 227 'Check number of events in cube')
225 228  
226 229 # Check energy dispersion flag
... ... @@ -306,7 +309,7 @@ class Test(test):
306 309 # Check simulation results
307 310 self.test_value(res.size(), 1, 'Check number of observations')
308 311 self.test_value(res.models().size(), 2, 'Check number of models')
309   - self.test_value(res.nobserved(), 6, 'Check number of observed events')
  312 + self.test_value(res.nobserved(), 4, 'Check number of observed events')
310 313 self.test_value(res.npred(), 0.0, 'Check number of predicted events')
311 314 self.test_value(res[0].eventtype(), 'EventList', 'Check event type')
312 315 self.test_value(res[0].events().ebounds().emin().TeV(), 1.0,
... ...