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ClusterizingHistogram.cc
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1
#include "
Utilities/BinningTools/interface/ClusterizingHistogram.h
"
2
#include <iostream>
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4
using namespace
std
;
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ClusterizingHistogram::ClusterizingHistogram
(
int
nb,
float
xmi,
float
xma) :
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my_nbins(nb),
xmin
(xmi),
xmax
(xma), my_entries(0), my_underflows(0), my_overflows(0) {
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bin_entries
=
new
int
[
my_nbins
];
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bin_means
=
new
float
[
my_nbins
];
10
binsiz
= (
xmax
-
xmin
) /
my_nbins
;
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for
(
int
i
=0;
i
<
my_nbins
;
i
++) {
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bin_entries
[
i
] = 0;
13
bin_means
[
i
] = 0.;
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}
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}
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ClusterizingHistogram::~ClusterizingHistogram
(){
delete
[]
bin_entries
;
delete
[]
bin_means
;}
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int
ClusterizingHistogram::bin
(
float
x
)
const
{
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if
(x <
xmin
)
return
-1;
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else
if
(x >
xmax
)
return
my_nbins
;
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else
return
int
((x-
xmin
)/
binsiz
);
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}
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int
ClusterizingHistogram::bin
(
double
x
)
const
{
24
if
(x <
xmin
)
return
-1;
25
else
if
(x >
xmax
)
return
my_nbins
;
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else
return
int
((x-
xmin
)/
binsiz
);
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}
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void
ClusterizingHistogram::fill
(
float
x
) {
30
if
(x <
xmin
)
my_underflows
++;
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else
if
(x >
xmax
)
my_overflows
++;
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else
{
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int
bin
=
int
((x-
xmin
)/
binsiz
);
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if
( bin >
my_nbins
-1) bin =
my_nbins
-1;
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++
bin_entries
[
bin
];
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bin_means
[
bin
] +=
x
;
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my_entries
++;
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// may be problematic for negative x; check!
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}
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}
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vector<float>
ClusterizingHistogram::clusterize
(
float
resol) {
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vector<float> clust;
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int
nclust = 0;
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bool
inclust =
false
;
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float
last_pos =
xmin
- 1000.*resol;
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int
sum = 0;
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float
sumx = 0;
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for
(
int
i
=0;
i
<
my_nbins
;
i
++) {
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if
(
bin_entries
[
i
] != 0) {
51
if
( fabs(
bin_pos
(
i
)-last_pos) > resol) {
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inclust =
false
;
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if
(nclust != 0) clust.push_back( sumx/sum);
// create cluster
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}
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if
(!inclust) {
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nclust++;
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sumx = 0.;
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sum = 0;
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}
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sum +=
bin_entries
[
i
];
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sumx +=
bin_means
[
i
];
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last_pos =
bin_pos
(
i
);
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inclust =
true
;
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}
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}
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if
(nclust != 0) clust.push_back( sumx/sum);
// create last cluster
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return
clust;
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}
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void
ClusterizingHistogram::dump
()
const
{
dump
(0,
my_nbins
);}
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void
ClusterizingHistogram::dump
(
int
i1,
int
i2)
const
{
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cout
<<
"Dumping ClusterizingHistogram contents:"
<< endl;
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for
(
int
i
=
max
(i1,0);
i
<
min
(i2,
my_nbins
);
i
++) {
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cout
<<
i
<<
" "
<<
bin_entries
[
i
] <<
" "
<<
bin_pos
(
i
) << endl;
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}
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cout
<<
"Underflows: "
<<
my_underflows
<< endl;
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cout
<<
"Overflows: "
<<
my_overflows
<< endl;
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cout
<<
"Total number of entries: "
<<
my_entries
<< endl;
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}
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void
ClusterizingHistogram::dump
(
float
x1
,
float
x2
)
const
{
dump
(
bin
(x1),
bin
(x2));}
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void
ClusterizingHistogram::dump
(
double
x1
,
double
x2
)
const
{
dump
(
bin
(x1),
bin
(x2));}
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void
ClusterizingHistogram::dump
(
float
x1
,
double
x2
)
const
{
dump
(
bin
(x1),
bin
(x2));}
86
void
ClusterizingHistogram::dump
(
double
x1
,
float
x2
)
const
{
dump
(
bin
(x1),
bin
(x2));}
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void
ClusterizingHistogram::reset
() {
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my_entries
= 0;
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my_underflows
= 0;
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my_overflows
= 0;
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for
(
int
i
=0;
i
<
my_nbins
;
i
++) {
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bin_entries
[
i
] = 0;
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bin_means
[
i
] = 0.;
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}
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}
ClusterizingHistogram::my_nbins
int my_nbins
Definition:
ClusterizingHistogram.h:41
mps_fire.i
i
Definition:
mps_fire.py:329
ClusterizingHistogram.h
ClusterizingHistogram::dump
void dump() const
Definition:
ClusterizingHistogram.cc:71
ClusterizingHistogram::~ClusterizingHistogram
~ClusterizingHistogram()
Definition:
ClusterizingHistogram.cc:16
TrackerOfflineValidation_Dqm_cff.xmin
xmin
Definition:
TrackerOfflineValidation_Dqm_cff.py:10
std
Definition:
JetResolutionObject.h:80
ClusterizingHistogram::bin_entries
int * bin_entries
Definition:
ClusterizingHistogram.h:47
ClusterizingHistogram::my_overflows
int my_overflows
Definition:
ClusterizingHistogram.h:46
createfilelist.int
int
Definition:
createfilelist.py:10
ClusterizingHistogram::clusterize
std::vector< float > clusterize(float resolution)
Definition:
ClusterizingHistogram.cc:42
ClusterizingHistogram::bin
int bin(float x) const
Definition:
ClusterizingHistogram.cc:18
min
T min(T a, T b)
Definition:
MathUtil.h:58
SiStripPI::max
Definition:
SiStripPayloadInspectorHelper.h:178
globals_cff.x1
x1
Definition:
globals_cff.py:24
ClusterizingHistogram::fill
void fill(float x)
Definition:
ClusterizingHistogram.cc:29
globals_cff.x2
x2
Definition:
globals_cff.py:25
ClusterizingHistogram::bin_pos
float bin_pos(int i) const
Definition:
ClusterizingHistogram.h:25
TrackerOfflineValidation_Dqm_cff.xmax
xmax
Definition:
TrackerOfflineValidation_Dqm_cff.py:11
ClusterizingHistogram::my_entries
int my_entries
Definition:
ClusterizingHistogram.h:44
ClusterizingHistogram::xmax
float xmax
Definition:
ClusterizingHistogram.h:43
ClusterizingHistogram::my_underflows
int my_underflows
Definition:
ClusterizingHistogram.h:45
ClusterizingHistogram::ClusterizingHistogram
ClusterizingHistogram()
Definition:
ClusterizingHistogram.h:40
ClusterizingHistogram::xmin
float xmin
Definition:
ClusterizingHistogram.h:42
gather_cfg.cout
cout
Definition:
gather_cfg.py:144
ClusterizingHistogram::binsiz
float binsiz
Definition:
ClusterizingHistogram.h:49
DDAxes::x
ClusterizingHistogram::bin_means
float * bin_means
Definition:
ClusterizingHistogram.h:48
ClusterizingHistogram::reset
void reset()
Definition:
ClusterizingHistogram.cc:88
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