public override string ToString()
{
if ( image == null )
{
return UNINITIALIZED;
}
StringWriter sw = new StringWriter();
TabularOutput t = new TabularOutput( sw );
t.flushEvery( Int32.MaxValue );
t.addColumn( "#" );
t.addColumn( "image" ).alignLeft();
t.addColumn( "type" );
t.addColumn( "tf" );
t.addColumn( "tfByDocument" ).alignLeft();
t.addColumn( "fieldIndices" );
if ( stemIndex != null )
{
t.addColumn( "stemIndex" );
t.addColumn( "=>stem" ).alignLeft();
}
for ( int i = 0; i < image.Length; i++, t.nextRow() )
{
t.rowData(
i,
image[i] == null ? "<null>" : new String( image[i] ),
type[i],
tf[i],
SparseArray.sparseToString( tfByDocument[i] ) );
t.rowData( Arrays.toString( toFieldIndexes( fieldIndices[i] ) ).replace( " ", "" ) );
if ( stemIndex != null )
{
t.rowData( stemIndex[i] );
t.rowData( new String( allStems.image[stemIndex[i]] ) );
}
}
t.flush();
sw.Write( "\n" );
return sw.ToString();
}
public override string ToString()
{
if ( image == null )
{
return UNINITIALIZED;
}
StringWriter sw = new StringWriter();
TabularOutput t = new TabularOutput( sw );
t.flushEvery( Int32.MaxValue );
t.addColumn( "#" );
t.addColumn( "token" ).alignLeft();
t.addColumn( "type" );
t.addColumn( "fieldIndex" );
t.addColumn( "=>field" ).alignLeft();
t.addColumn( "docIdx" );
t.addColumn( "wordIdx" );
t.addColumn( "=>word" ).alignLeft();
for ( int i = 0; i < image.Length; i++, t.nextRow() )
{
t.rowData(
i,
image[i] == null ? "<null>" : new String( image[i] ),
type[i],
fieldIndex[i],
fieldIndex[i] >= 0 ? allFields.name[fieldIndex[i]] : null,
documentIndex[i],
wordIndex[i],
wordIndex[i] >= 0 ? new String( allWords.image[wordIndex[i]] ) : null );
}
if ( suffixOrder != null )
{
t = new TabularOutput( sw );
t.addColumn( "#" );
t.addColumn( "sa" );
t.addColumn( "lcp" );
t.addColumn( "=>words" ).alignLeft();
sw.Write( "\n" );
StringBuilder suffixImage = new StringBuilder();
for ( int i = 0; i < suffixOrder.Length; i++, t.nextRow() )
{
t.rowData(
i,
suffixOrder[i],
lcp[i] );
int windowLength = 5;
for ( int j = suffixOrder[i], max = Math.Min( suffixOrder[i] + windowLength, wordIndex.Length ); j < max; )
{
suffixImage.Append(
wordIndex[j] >= 0 ? new String( allWords.image[wordIndex[j]] ) : "|" ).Append( " " );
if ( ++j == max && j != wordIndex.Length )
suffixImage.Append( " [...]" );
}
t.rowData( suffixImage.ToString() );
suffixImage.Clear();
}
sw.Write( "\n" );
}
t.flush();
sw.Write( "\n" );
return sw.ToString();
}
public override string ToString()
{
if ( featureIndex == null )
return UNINITIALIZED;
StringWriter sw = new StringWriter();
TabularOutput t = new TabularOutput( sw );
t.flushEvery( Int32.MaxValue );
t.addColumn( "#" );
t.addColumn( "featureIdx" );
t.addColumn( "=>feature" ).alignLeft();
t.addColumn( "documentIdx" ).alignLeft();
for ( int i = 0; i < featureIndex.Length; i++, t.nextRow() )
{
t.rowData(
i,
featureIndex[i],
getLabel( i ),
documentIndices != null ? documentIndices[i].toString().replace( " ", "" ) : "" );
}
t.flush();
sw.Write( "\n" );
return t.toString();
}
public override string ToString()
{
if ( wordIndices == null )
{
return UNINITIALIZED;
}
StringWriter sw = new StringWriter();
TabularOutput t = new TabularOutput( sw );
t.flushEvery( Int32.MaxValue );
t.addColumn( "#" );
t.addColumn( "wordIndices" );
t.addColumn( "=>words" ).alignLeft();
t.addColumn( "tf" );
t.addColumn( "tfByDocument" ).alignLeft();
for ( int i = 0; i < wordIndices.Length; i++, t.nextRow() )
{
t.rowData(
i,
Arrays.toString( wordIndices[i] ).replace( " ", "" ),
getPhrase( i ),
tf[i],
SparseArray.sparseToString( tfByDocument[i] ) );
}
t.flush();
sw.Write( "\n" );
return sw.ToString();
}
public override string ToString()
{
if ( name == null )
{
return UNINITIALIZED;
}
StringWriter sw = new StringWriter();
TabularOutput t = new TabularOutput( sw );
t.flushEvery( Int32.MaxValue );
t.addColumn( "#" );
t.addColumn( "name" ).format( "%-10s" ).alignLeft();
int i = 0;
foreach ( String n in name )
{
t.rowData( i++, n ).nextRow();
}
t.flush();
sw.Write( "\n" );
return sw.ToString();
}
