Inheritance diagram for TupleEx3::TupleEx3:
Public Member Functions | |
| def | __init__ |
| standard constructor | |
| def | execute |
| the main execution method | |
Simple algorithm for advanced (matrix&array) N-Tuple columns
Definition at line 52 of file TupleEx3.py.
| def TupleEx3::TupleEx3::__init__ | ( | self, | ||
name = 'TupleEx3' | ||||
| ) |
| def TupleEx3::TupleEx3::execute | ( | self | ) |
the main execution method
The major method 'execute', it is invoked for each event
Definition at line 61 of file TupleEx3.py.
00063 : 00064 """ The major method 'execute', it is invoked for each event """ 00065 00066 gauss = Rndm.Numbers ( self.randSvc() , Rndm.Gauss ( 0.0 , 1.0 ) ) 00067 flat = Rndm.Numbers ( self.randSvc() , Rndm.Flat ( -10 , 10 ) ) 00068 breit = Rndm.Numbers ( self.randSvc() , Rndm.BreitWigner ( 0.0 , 1.0 ) ) 00069 00070 ## N-tuple with farrays 00071 tup = self.nTuple('farrays', 'N-tuple with farrays') 00072 00073 for i in range(0,20) : 00074 00075 # std::vector<double> 00076 00077 # prepare some data array (std::vector<double>) 00078 v1=vct1() 00079 n=long(50+2*flat()) 00080 # fill it with some random data 00081 for j in range(0,n) : v1.push_back( gauss() ) 00082 #fill N-tuple 00083 tup.farray('gauss',v1,'len1',150) 00084 00085 # prepare some data array (CLHEP::HepVector<double>) 00086 n=long(50+2*flat()) 00087 v2=vct2(n) 00088 #fill N-tuple 00089 tup.farray('breit',v2,'len2',150) 00090 00091 # commit the row 00092 tup.write() 00093 00094 ## N-tuple with arrays 00095 tup = self.nTuple('arrays', 'N-tuple with arrays') 00096 for i in range(0,20) : 00097 00098 # std::vector<double> 00099 00100 # prepare some data array (std::vector<double>) 00101 v1=vct1(30,1.0) 00102 #fill N-tuple 00103 tup.array('gauss',v1) 00104 00105 # use CLHEP::HepVector 00106 v2=vct2( 30 ) 00107 tup.array('breit',v2) 00108 00109 # use Gaudi::Vector2 00110 v= Gaudi.Vector2() 00111 tup.array ( 'v2' , v ) ; 00112 00113 # use Gaudi::Vector3 00114 v= Gaudi.Vector3() 00115 tup.array ( 'v3' , v ) ; 00116 00117 # use Gaudi::Vector4 00118 v= Gaudi.Vector4() 00119 tup.array ( 'v4' , v ) ; 00120 00121 # use Gaudi::Vector5 00122 v= Gaudi.Vector5() 00123 tup.array ( 'v5' , v ) ; 00124 00125 # use Gaudi::Vector6 00126 v= Gaudi.Vector6() 00127 tup.array ( 'v6' , v ) ; 00128 00129 # use Gaudi::Vector7 00130 v= Gaudi.Vector7() 00131 tup.array ( 'v7' , v ) ; 00132 00133 # use Gaudi::Vector8 00134 v= Gaudi.Vector8() 00135 tup.array ( 'v8' , v ) ; 00136 00137 # use Gaudi::Vector9 00138 v= Gaudi.Vector9() 00139 tup.array ( 'v9' , v ) ; 00140 00141 # commit the row 00142 tup.write() 00143 00144 ## N-tuple with fixed square matrices 00145 tup = self.nTuple('square', 'N-tuple with square matrices') 00146 for i in range(0,20) : 00147 00148 # make a matrice 00149 m=Gaudi.Matrix2x2() 00150 tup.matrix ( "m2" , m ) 00151 00152 # make a matrice 00153 m=Gaudi.Matrix3x3() 00154 tup.matrix ( "m3" , m ) 00155 00156 # make a matrice 00157 m=Gaudi.Matrix4x4() 00158 tup.matrix ( "m4" , m ) 00159 00160 # make a matrice 00161 m=Gaudi.Matrix5x5() 00162 # fill n-tuple 00163 tup.matrix ( "m5" , m ) 00164 00165 # make a matrice 00166 m=Gaudi.Matrix6x6() 00167 # fill n-tuple 00168 tup.matrix ( "m6" , m ) 00169 00170 # make a matrice 00171 m=Gaudi.Matrix7x7() 00172 tup.matrix ( "m7" , m ) 00173 00174 # make a matrice 00175 m=Gaudi.Matrix8x8() 00176 # fill n-tuple 00177 tup.matrix ( "m8" , m ) 00178 00179 # make a matrice 00180 m=Gaudi.Matrix9x9() 00181 tup.matrix ( "m9" , m ) 00182 00183 # commit the row 00184 tup.write() 00185 00186 return SUCCESS
1.4.7