Michael Mayer / ctools

Commit bcae3ed6ca49e53cbcdb93c79b9fe8c6803a07ef

Authored by knodlseder
1 parent fc2a1c1d

correct formatting

Inline Side-by-side
Showing 1 changed file with 18 additions and 18 deletions
test/test_python.py
  View file @bcae3ed
@@ -17,11 +17,11 @@ import sys @@ -17,11 +17,11 @@ import sys
17 def pipeline_v1(): 17 def pipeline_v1():
18 """ 18 """
19 Unbinned analysis pipeline - save intermediate results. 19 Unbinned analysis pipeline - save intermediate results.
20 -  
21 - This function implements an analysis pipeline that successively calls  
22 - ctobssim, ctselect and ctlike by saving the intermediate results as FITS  
23 - files on disk. This replicates the way how the analysis would be done  
24 - in a ftools-like approach. 20 +
  21 + This function implements an analysis pipeline that successively calls
  22 + ctobssim, ctselect and ctlike by saving the intermediate results as FITS
  23 + files on disk. This replicates the way how the analysis would be done
  24 + in a ftools-like approach.
25 """ 25 """
26 # Set script parameters 26 # Set script parameters
27 model_name = "data/crab.xml" 27 model_name = "data/crab.xml"
@@ -38,11 +38,11 @@ def pipeline_v1(): @@ -38,11 +38,11 @@ def pipeline_v1():
38 emin = 0.1 38 emin = 0.1
39 emax = 100.0 39 emax = 100.0
40 rad_select = 3.0 40 rad_select = 3.0
41 - 41 +
42 # Initialise timing 42 # Initialise timing
43 wall_seconds = 0.0 43 wall_seconds = 0.0
44 cpu_seconds = 0.0 44 cpu_seconds = 0.0
45 - 45 +
46 # Simulate events 46 # Simulate events
47 sim = ctobssim() 47 sim = ctobssim()
48 sim.logFileOpen() 48 sim.logFileOpen()
@@ -59,7 +59,7 @@ def pipeline_v1(): @@ -59,7 +59,7 @@ def pipeline_v1():
59 sim["emax"].real(emax) 59 sim["emax"].real(emax)
60 sim.execute() 60 sim.execute()
61 sys.stdout.write(".") 61 sys.stdout.write(".")
62 - 62 +
63 # Select events 63 # Select events
64 select = ctselect() 64 select = ctselect()
65 select.logFileOpen() 65 select.logFileOpen()
@@ -74,7 +74,7 @@ def pipeline_v1(): @@ -74,7 +74,7 @@ def pipeline_v1():
74 select["emax"].real(emax) 74 select["emax"].real(emax)
75 select.execute() 75 select.execute()
76 sys.stdout.write(".") 76 sys.stdout.write(".")
77 - 77 +
78 # Perform maximum likelihood fitting 78 # Perform maximum likelihood fitting
79 like = ctlike() 79 like = ctlike()
80 like.logFileOpen() 80 like.logFileOpen()
@@ -86,7 +86,7 @@ def pipeline_v1(): @@ -86,7 +86,7 @@ def pipeline_v1():
86 like["irf"].string(irf) 86 like["irf"].string(irf)
87 like.execute() 87 like.execute()
88 sys.stdout.write(".") 88 sys.stdout.write(".")
89 - 89 +
90 # Return 90 # Return
91 return 91 return
92 92
@@ -97,9 +97,9 @@ def pipeline_v1(): @@ -97,9 +97,9 @@ def pipeline_v1():
97 def pipeline_v2(): 97 def pipeline_v2():
98 """ 98 """
99 Unbinned analysis pipeline - keep intermediate results in memory. 99 Unbinned analysis pipeline - keep intermediate results in memory.
100 -  
101 - This function implements an analysis pipeline that successively calls  
102 - ctobssim, ctselect and ctlike without saving the intermediate results as 100 +
  101 + This function implements an analysis pipeline that successively calls
  102 + ctobssim, ctselect and ctlike without saving the intermediate results as
103 FITS files on disk. All data is only hold in memory. 103 FITS files on disk. All data is only hold in memory.
104 """ 104 """
105 # Set script parameters 105 # Set script parameters
@@ -114,11 +114,11 @@ def pipeline_v2(): @@ -114,11 +114,11 @@ def pipeline_v2():
114 emin = 0.1 114 emin = 0.1
115 emax = 100.0 115 emax = 100.0
116 rad_select = 3.0 116 rad_select = 3.0
117 - 117 +
118 # Initialise timing 118 # Initialise timing
119 wall_seconds = 0.0 119 wall_seconds = 0.0
120 cpu_seconds = 0.0 120 cpu_seconds = 0.0
121 - 121 +
122 # Simulate events 122 # Simulate events
123 sim = ctobssim() 123 sim = ctobssim()
124 sim["infile"].filename(model_name) 124 sim["infile"].filename(model_name)
@@ -133,7 +133,7 @@ def pipeline_v2(): @@ -133,7 +133,7 @@ def pipeline_v2():
133 sim["emax"].real(emax) 133 sim["emax"].real(emax)
134 sim.run() 134 sim.run()
135 sys.stdout.write(".") 135 sys.stdout.write(".")
136 - 136 +
137 # Select events 137 # Select events
138 select = ctselect(sim.obs()) 138 select = ctselect(sim.obs())
139 select["ra"].real(ra) 139 select["ra"].real(ra)
@@ -145,12 +145,12 @@ def pipeline_v2(): @@ -145,12 +145,12 @@ def pipeline_v2():
145 select["emax"].real(emax) 145 select["emax"].real(emax)
146 select.run() 146 select.run()
147 sys.stdout.write(".") 147 sys.stdout.write(".")
148 - 148 +
149 # Perform maximum likelihood fitting 149 # Perform maximum likelihood fitting
150 like = ctlike(select.obs()) 150 like = ctlike(select.obs())
151 like.run() 151 like.run()
152 sys.stdout.write(".") 152 sys.stdout.write(".")
153 - 153 +
154 # Return 154 # Return
155 return 155 return
156 156