14 # pragma warning( disable : 2259 )
20 # pragma warning( disable : 4996 )
34 auto p =
new Histogram1D(
new TH1D( title.
c_str(), title.
c_str(), nBins, xlow, xup ) );
41 auto p =
new Histogram1D(
new TH1D( title.
c_str(), title.
c_str(), e.size() - 1, &e.front() ) );
47 const AIDA::IHistogram1D& hist ) {
48 TH1D*
h = getRepresentation<AIDA::IHistogram1D, TH1D>( hist );
49 auto n = (
h ?
new Histogram1D(
new TH1D( *
h ) ) :
nullptr );
58 if ( className ==
"AIDA::IHistogram1D" )
return const_cast<AIDA::IHistogram1D*
>( (AIDA::IHistogram1D*)
this );
59 if ( className ==
"AIDA::IHistogram" )
return const_cast<AIDA::IHistogram*
>( (AIDA::IHistogram*)
this );
65 if ( binHeight( index ) <= 0 )
return 0;
66 double xx = binHeight( index ) / binError( index );
67 return int( xx * xx + 0.5 );
72 TH1D* imp =
dynamic_cast<TH1D*
>( rep );
73 if ( !imp )
throw std::runtime_error(
"Cannot adopt native histogram representation." );
82 init( m_rep->GetTitle() );
87 m_classType =
"IHistogram1D";
88 if ( initialize_axis ) { m_axis.initialize( m_rep->GetXaxis(),
false ); }
89 const TArrayD* a = m_rep->GetSumw2();
90 if ( !a || ( a && a->GetSize() == 0 ) ) m_rep->Sumw2();
92 m_rep->SetDirectory(
nullptr );
100 for (
int i = 1,
n = m_rep->GetNbinsX(); i <=
n; ++i ) {
101 m_sumwx += m_rep->GetBinContent( i ) * m_rep->GetBinCenter( i );
102 m_sumEntries += m_rep->GetBinContent( i );
109 return Base::reset();
118 init( m_rep->GetTitle() );
124 m_rep->SetBinContent( rIndex( i ), height );
125 m_rep->SetBinError( rIndex( i ), error );
127 if ( i != AIDA::IAxis::UNDERFLOW_BIN && i != AIDA::IAxis::OVERFLOW_BIN ) m_sumwx += centre * height;
128 m_sumEntries += entries;
135 # pragma warning( push )
136 # pragma warning( disable : 1572 )
139 m_rep->SetEntries( m_sumEntries );
142 stat[0] = sumBinHeights();
144 if ( equivalentBinEntries() != 0 ) stat[1] = ( sumBinHeights() * sumBinHeights() ) / equivalentBinEntries();
147 if ( sumBinHeights() != 0 )
mean = m_sumwx / sumBinHeights();
149 m_rep->PutStats( &stat.
front() );
155 m_rep->SetEntries( allEntries );
159 stat[0] = sumBinHeights();
162 if ( eqBinEntries != 0 ) stat[1] = ( sumBinHeights() * sumBinHeights() ) / eqBinEntries;
164 stat[2] =
mean * sumBinHeights();
167 m_rep->PutStats( &stat.
front() );
173 auto guard = std::scoped_lock{ m_fillSerialization };
174 ( weight == 1. ) ? m_rep->Fill( x ) : m_rep->Fill( x, weight );
181 if (
h.axis().isFixedBinning() ) {
183 new TH1D( title.
c_str(), title.
c_str(),
h.axis().bins(),
h.axis().lowerEdge(),
h.axis().upperEdge() ) );
186 for (
int i = 0; i <
h.axis().bins(); ++i ) { e.
push_back(
h.axis().binLowerEdge( i ) ); }
188 e.push_back(
h.axis().upperEdge() );
189 m_rep.reset(
new TH1D( title.
c_str(), title.
c_str(), e.size() - 1, &e.front() ) );
191 m_axis.initialize( m_rep->GetXaxis(),
false );
196 double sumw =
h.sumBinHeights();
199 if (
h.equivalentBinEntries() != 0 ) sumw2 = ( sumw * sumw ) /
h.equivalentBinEntries();
201 double sumwx =
h.mean() *
h.sumBinHeights();
202 double sumwx2 = (
h.mean() *
h.mean() +
h.rms() *
h.rms() ) *
h.sumBinHeights();
205 for (
int i = -2; i < axis().bins(); ++i ) {
207 m_rep->SetBinContent( rIndex( i ),
h.binHeight( i ) );
208 m_rep->SetBinError( rIndex( i ),
h.binError( i ) );
212 m_rep->SetEntries(
h.allEntries() );
219 m_rep->PutStats( &stat.
front() );
224 # pragma warning( pop )
232 for (
int j = 0;
j <
size;
j++ ) {
235 if ( !annotation().addItem(
key, value ) ) { annotation().setValue(
key, value ); };
236 if (
"Title" ==
key ) { title = value; }
238 double lowerEdge, upperEdge, binHeight, binError;
239 int isFixedBinning, bins;
240 s >> isFixedBinning >> bins;
242 if ( isFixedBinning ) {
243 s >> lowerEdge >> upperEdge;
244 m_rep.reset(
new TH1D( title.
c_str(), title.
c_str(), bins, lowerEdge, upperEdge ) );
248 for (
int i = 0; i <= bins; ++i ) s >> edges[i];
249 m_rep.reset(
new TH1D( title.
c_str(), title.
c_str(), edges.size() - 1, &edges.front() ) );
251 m_axis.initialize( m_rep->GetXaxis(),
true );
256 for (
int i = 0; i <= bins + 1; ++i ) {
257 s >> binHeight >> binError;
258 m_rep->SetBinContent( i, binHeight );
259 m_rep->SetBinError( i, binError );
263 m_rep->SetEntries( allEntries );
265 s >> stats[0] >> stats[1] >> stats[2] >> stats[3];
266 m_rep->PutStats( stats );
272 s << static_cast<int>( annotation().
size() );
273 for (
int i = 0; i < annotation().size(); i++ ) {
274 s << annotation().key( i );
275 s << annotation().value( i );
277 const AIDA::IAxis& axis( this->axis() );
278 const int isFixedBinning = axis.isFixedBinning();
279 const int bins = axis.bins();
280 s << isFixedBinning << bins;
281 if ( isFixedBinning ) {
282 s << axis.lowerEdge();
284 for (
int i = 0; i < bins; ++i )
s << axis.binLowerEdge( i );
286 s << axis.upperEdge();
287 for (
int i = 0; i <= bins + 1; ++i )
s << m_rep->GetBinContent( i ) << m_rep->GetBinError( i );
289 s << m_rep->GetEntries();
291 m_rep->GetStats( stats );
292 s << stats[0] << stats[1] << stats[2] << stats[3];