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/* linbox/vector/stream.h
* Copyright (C) 2002 Bradford Hovinen
*
* Written by Bradford Hovinen <hovinen@cis.udel.edu>
*
* ------------------------------------
* 2003-02-03 Bradford Hovinen <bghovinen@math.uwaterloo.ca>
*
* RandomSparseStream::RandomSparseStream: put probability parameter before
* vector dimension
* ------------------------------------
* 2002-09-05 Bradford Hovinen <bghovine@math.uwaterloo.ca>
*
* - Renamed to stream.h and moved to linbox/vector
* - VectorFactory is now called VectorStream, which fits its purpose
* somewhat better
* - The interface is now closer to the interface for istream
* - RandomDenseVectorFactory, et al. are refactored into classes
* parameterized on the vector type and specialized appropriately. This
* allows, e.g. construction of a random dense vector in sparse
* representation and so on.
* - New constructor interface for RandomSparseStream accepts proportion of
* nonzero entries; removed existing constructors
* - Reindented, since the other changes are so numerous that diffs aren't a
* big deal anyway
*
* ------------------------------------
* 2002-05-18 Bradford Hovinen <hovinen@cis.udel.edu>
*
* Refactor: Create one class StandardBasisFactory, parameterized by vector
* type, with specializations for dense, sparse map, and sparse associative
* vectors.
*
* ------------------------------------
* Modified by Dmitriy Morozov <linbox@foxcub.org>. May 27, 2002.
*
* Added parametrization of the VectorCategroy tags by VectorTraits (see
* vector-traits.h for more details).
*
* ------------------------------------
*
* See COPYING for license information.
*/
#ifndef __VECTOR_STREAM_H
#define __VECTOR_STREAM_H
#include <vector>
#include <cmath>
#include "linbox/vector/vector-traits.h"
#include "linbox/util/debug.h"
#include "linbox/randiter/nonzero.h"
#include "linbox/randiter/mersenne-twister.h"
namespace LinBox
{
/** \brief Vector factory
* This is an abstract base class that generates a sequence of vectors
* in a generic way. Typical uses would be in tests, where the same test
* might be run on a sequence of random vectors or on e_1, ..., e_n.
\ingroup vector
*/
template <class _Vector>
class VectorStream
{
public:
typedef _Vector Vector;
typedef VectorStream<Vector> Self_t;
virtual ~VectorStream () {}
/** Get the next vector from the factory and store it in v
*/
virtual Vector &get (Vector &v) = 0;
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
/** Get the number of vectors to be constructed in this stream
*/
virtual size_t size () const = 0;
/** Get the number of vectors constructed so far
*/
virtual size_t pos () const = 0;
/** Get the dimension of each vector
*/
virtual size_t dim () const = 0;
/** Return true if and only if the vector stream still has more vectors
* to construct
*/
virtual operator bool () const = 0;
/** Reset the vector stream to the beginning.
*/
virtual void reset () = 0;
/** Alias for reset
*/
void rewind () { reset (); }
/** @name Legacy interface
* These functions provide compatiblity with older parts of the
* library. Their use is deprecated.
*/
//@{
Vector &next (Vector &v) { return get (v); }
size_t j () const { return pos (); }
size_t m () const { return size (); }
size_t n () const { return dim (); }
//@}
};
/** Constant vector factory
* Returns the same vector repeatedly
*/
template <class _Vector>
class ConstantVectorStream : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef ConstantVectorStream<Vector> Self_t;
/** Constructor
* Construct a new factory with the given field and vector size.
* @param v Vector to return on next
* @param m Number of vectors to return (0 for unlimited)
*/
ConstantVectorStream (Vector &v, size_t m) : _v (v), _m (m), _j (0) {}
/** Retrieve vector
* @param v Vector to use
*/
Vector &get (Vector &v)
{ if (_m == 0 || _j < _m) copy (_v.begin (), _v.end (), v.begin ()); return v; }
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
/** Number of vectors to be created
*/
size_t size () const { return _m; }
/** Number of vectors created so far
*/
size_t pos () const { return _j; }
/** Dimension of the space
*/
size_t dim () const { return _v.size (); }
/** Check whether we have reached the end
*/
operator bool () const { return _m == 0 || _j < _m; }
/** Reset the factory to start at the beginning
*/
void reset () { _j = 0; }
private:
Vector &_v;
size_t _m;
size_t _j;
};
/** Random dense vector stream
* Generates a sequence of random dense vectors over a given field
*/
template <class Field, class _Vector = typename LinBox::Vector<Field>::Dense, class RandIter = typename Field::RandIter, class Trait = typename VectorTraits<_Vector>::VectorCategory>
class RandomDenseStream : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef RandomDenseStream<Field, Vector, RandIter, Trait> Self_t;
/** Constructor
* Construct a new stream with the given field and vector size.
* @param F Field over which to create random vectors
* @param n Size of vectors
* @param m Number of vectors to return (0 for unlimited)
*/
RandomDenseStream (const Field &F, size_t n, size_t m = 0);
/** Constructor
* Construct a new stream with the given field and vector size.
* @param F Field over which to create random vectors
* @param n Size of vectors
* @param m Number of vectors to return (0 for unlimited)
*/
RandomDenseStream (const Field &F, const RandIter &r, size_t n, size_t m = 0);
/** Get next element
* @param v Vector into which to generate random vector
* @return reference to new random vector
*/
Vector &get (Vector &v);
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
/** Number of vectors to be created
*/
size_t size () const;
/** Number of vectors created so far
*/
size_t pos () const;
/** Dimension of the space
*/
size_t dim () const;
/** Check whether we have reached the end
*/
operator bool () const;
/** Reset the stream to start at the beginning
*/
void reset ();
};
// Specialization of random dense stream for dense vectors
template <class Field, class _Vector, class RandIter>
class RandomDenseStream<Field, _Vector, RandIter, VectorCategories::DenseVectorTag > : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef RandomDenseStream<Field, Vector, RandIter, VectorCategories::DenseVectorTag > Self_t;
RandomDenseStream (const Field &F, size_t n, size_t m = 0)
: _F (F), _r (F), _n (n), _m (m), _j (0)
{}
RandomDenseStream (const Field &F, const RandIter &r, size_t n, size_t m = 0)
: _F (F), _r (r), _n (n), _m (m), _j (0)
{}
Vector &get (Vector &v)
{
typename Vector::iterator i;
if (_m > 0 && _j++ >= _m)
return v;
for (i = v.begin (); i != v.end (); i++)
_r.random (*i);
return v;
}
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
size_t size () const { return _m; }
size_t pos () const { return _j; }
size_t dim () const { return _n; }
operator bool () const { return _m == 0 || _j < _m; }
void reset () { _j = 0; }
private:
const Field &_F;
RandIter _r;
size_t _n;
size_t _m;
size_t _j;
};
/** Random sparse vector stream
* Generates a sequence of random sparse vectors over a given field
*/
template <class Field, class _Vector = typename LinBox::Vector<Field>::Sparse, class RandIter = typename Field::RandIter, class Trait = typename VectorTraits<_Vector>::VectorCategory>
class RandomSparseStream : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef RandomSparseStream<Field, Vector, RandIter, Trait > Self_t;
/** Constructor
* Construct a new stream with the given field and vector size.
* @param F Field over which to create random vectors
* @param p Proportion of nonzero entries
* @param n Size of vectors
* @param m Number of vectors to return (0 for unlimited)
*/
RandomSparseStream (const Field &F, double p, size_t n, size_t m = 0);
/** Constructor
* Construct a new stream with the given field and vector size.
* @param F Field over which to create random vectors
* @param n Size of vectors
* @param p Proportion of nonzero entries
* @param m Number of vectors to return (0 for unlimited)
*/
RandomSparseStream (const Field &F, const RandIter &r, double p, size_t n, size_t m = 0);
/** Get next element
* @param v Vector into which to generate random vector
* @return reference to new random vector
*/
Vector &get (Vector &v);
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
/** Number of vectors to be created
*/
size_t size () const;
/** Number of vectors created so far
*/
size_t pos () const;
/** Dimension of the space
*/
size_t dim () const;
/** Check whether we have reached the end
*/
operator bool () const;
/** Reset the stream to start at the beginning
*/
void reset ();
/** Set the probability of a nonzero entry
*/
void setP (double p);
};
// Specialization of RandomSparseStream for dense vectors
template <class Field, class _Vector, class RandIter>
class RandomSparseStream<Field, _Vector, RandIter, VectorCategories::DenseVectorTag > : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef RandomSparseStream<Field, Vector, RandIter, VectorCategories::DenseVectorTag > Self_t;
RandomSparseStream (const Field &F, double p, size_t n, size_t m = 0)
: _F (F), _r1 (F), _r (F, _r1),
_n (n), _p (p), _m (m), _j (0),
_MT (time (NULL))
{ linbox_check ((p >= 0.0) && (p <= 1.0)); _F.init (_zero, 0); }
RandomSparseStream (const Field &F, const RandIter &r, double p, size_t n, size_t m = 0)
: _F (F), _r1 (r), _r (F, _r1), _n (n), _p (p), _m (m), _j (0),
_MT (time (NULL))
{ linbox_check ((p >= 0.0) && (p <= 1.0)); _F.init (_zero, 0); }
Vector &get (Vector &v)
{
double val;
if (_m > 0 && _j++ >= _m)
return v;
for (typename Vector::iterator i = v.begin (); i != v.end (); ++i) {
val = _MT.randomDouble ();
if (val < _p)
_r.random (*i);
else
_F.assign (*i, _zero);
}
return v;
}
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
size_t size () const { return _m; }
size_t pos () const { return _j; }
size_t dim () const { return _n; }
operator bool () const { return _m == 0 || _j < _m; }
void reset () { _j = 0; }
void setP (double p) { linbox_check ((p >= 0.0) && (p <= 1.0)); _p = p; }
private:
const Field &_F;
typename Field::Element _zero;
RandIter _r1;
NonzeroRandIter<Field, RandIter> _r;
size_t _n;
double _p;
size_t _m;
size_t _j;
MersenneTwister _MT;
};
// Specialization of RandomSparseStream for sparse sequence vectors
template <class Field, class _Vector, class RandIter>
class RandomSparseStream<Field, _Vector, RandIter, VectorCategories::SparseSequenceVectorTag > : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef RandomSparseStream<Field, Vector, RandIter, VectorCategories::SparseSequenceVectorTag > Self_t;
RandomSparseStream (const Field &F, double p, size_t n, size_t m = 0)
: _F (F), _r1 (F), _r (F, _r1), _n (n), _m (m), _j (0),
_MT (time (NULL))
{ setP (p); }
RandomSparseStream (const Field &F, const RandIter &r, double p, size_t n, size_t m = 0)
: _F (F), _r1 (r), _r (F, _r1), _n (n), _p (p), _m (m), _j (0),
_MT (time (NULL))
{ setP (p); }
Vector &get (Vector &v)
{
typename Field::Element x;
size_t i = (size_t) -1;
double val;
int skip;
if (_m > 0 && _j++ >= _m)
return v;
v.clear ();
while (1) {
val = _MT.randomDouble ();
skip = (int) (ceil (log (val) * _1_log_1mp));
if (skip <= 0)
++i;
else
i += skip;
if (i >= _n) break;
_r.random (x);
v.push_back (std::pair<size_t, typename Field::Element> (i, x));
}
return v;
}
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
size_t size () const { return _m; }
size_t pos () const { return _j; }
size_t dim () const { return _n; }
operator bool () const { return _m == 0 || _j < _m; }
void reset () { _j = 0; }
void setP (double p)
{
linbox_check ((p >= 0.0) && (p <= 1.0));
_p = p;
_1_log_1mp = 1 / log (1 - _p);
}
private:
const Field &_F;
RandIter _r1;
NonzeroRandIter<Field, RandIter> _r;
size_t _n;
double _p;
double _1_log_1mp;
size_t _m;
size_t _j;
MersenneTwister _MT;
};
// Specialization of RandomSparseStream for sparse associative vectors
template <class Field, class _Vector, class RandIter>
class RandomSparseStream<Field, _Vector, RandIter, VectorCategories::SparseAssociativeVectorTag > : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef RandomSparseStream<Field, Vector, RandIter, VectorCategories::SparseAssociativeVectorTag > Self_t;
RandomSparseStream (const Field &F, double p, size_t n, size_t m = 0)
: _F (F), _r1 (F), _r (F, _r1),
_n (n), _k ((long) (p * n)), _j (0), _m (m),
_MT (time (NULL))
{}
RandomSparseStream (const Field &F, const RandIter &r, double p, size_t n, size_t m = 0)
: _F (F), _r1 (F), _r (F, _r1), _n (n), _k ((long) (p * n)), _j (0), _m (m),
_MT (time (NULL))
{}
Vector &get (Vector &v)
{
typename Field::Element x;
int i, idx;
if (_m > 0 && _j++ >= _m)
return v;
v.clear ();
for (i = 0; i < _k; i++) {
_r.random (x);
while (!_F.isZero (v[idx = _MT.randomIntRange (0, _n)]));
v[idx] = x;
}
return v;
}
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
size_t size () const { return _m; }
size_t pos () const { return _j; }
size_t dim () const { return _n; }
operator bool () const { return _m == 0 || _j < _m; }
void reset () { _j = 0; }
void setP (double p) { _k = (long) (p * _n); }
private:
const Field &_F;
RandIter _r1;
NonzeroRandIter<Field, RandIter> _r;
size_t _n;
long _k;
size_t _j;
size_t _m;
MersenneTwister _MT;
};
// Specialization of RandomSparseStream for sparse parallel vectors
template <class Field, class _Vector, class RandIter>
class RandomSparseStream<Field, _Vector, RandIter, VectorCategories::SparseParallelVectorTag > : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef RandomSparseStream<Field, Vector, RandIter, VectorCategories::SparseParallelVectorTag > Self_t;
RandomSparseStream (const Field &F, double p, size_t n, size_t m = 0)
: _F (F), _r1 (F), _r (F, _r1), _n (n), _m (m), _j (0),
_MT (time (NULL))
{ setP (p); }
RandomSparseStream (const Field &F, const RandIter &r, double p, size_t n, size_t m = 0)
: _F (F), _r1 (r), _r (F, _r1), _n (n), _m (m), _j (0),
_MT (time (NULL))
{ setP (p); }
Vector &get (Vector &v)
{
typename Field::Element x;
size_t i = (size_t) -1;
double val;
int skip;
if (_m > 0 && _j++ >= _m)
return v;
v.first.clear ();
v.second.clear ();
while (1) {
val = _MT.randomDouble ();
skip = (int) (ceil (log (val) * _1_log_1mp));
if (skip <= 0)
i++;
else
i += skip;
if (i >= _n) break;
_r.random (x);
v.first.push_back (i);
v.second.push_back (x);
}
return v;
}
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
size_t size () const { return _m; }
size_t pos () const { return _j; }
size_t dim () const { return _n; }
operator bool () const { return _m == 0 || _j < _m; }
void reset () { _j = 0; }
void setP (double p)
{
linbox_check ((p >= 0.0) && (p <= 1.0));
_p = p;
_1_log_1mp = 1 / log (1 - _p);
}
private:
const Field &_F;
RandIter _r1;
NonzeroRandIter<Field, RandIter> _r;
size_t _n;
double _p;
double _1_log_1mp;
size_t _m;
size_t _j;
MersenneTwister _MT;
};
/** Stream for e_1,...,e_n
* Generates the sequence e_1,...,e_n over a given field
*
* This class is generic with respect to the underlying vector
* representation.
*/
template <class Field, class _Vector, class Trait = typename VectorTraits<_Vector>::VectorCategory>
class StandardBasisStream : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef StandardBasisStream<Field, Vector, Trait > Self_t;
/** Constructor
* Construct a new stream with the given field and vector size.
* @param F Field over which to create vectors
* @param n Size of vectors
*/
StandardBasisStream (Field &F, size_t n);
/** Get next element
* @param v Vector into which to generate vector
* @return reference to new vector
*/
Vector &get (Vector &v);
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
/** Number of vectors to be created
*/
size_t size () const;
/** Number of vectors created so far
*/
size_t pos () const;
/** Dimension of the space
*/
size_t dim () const;
/** Check whether we have reached the end
*/
operator bool () const;
/** Reset the stream to start at the beginning
*/
void reset ();
private:
const Field &_F;
size_t _n;
size_t _j;
};
// Specialization of standard basis stream for dense vectors
template <class Field, class _Vector>
class StandardBasisStream<Field, _Vector, VectorCategories::DenseVectorTag > : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef StandardBasisStream<Field, Vector, VectorCategories::DenseVectorTag > Self_t;
StandardBasisStream (const Field &F, size_t n)
: _F (F), _n (n), _j (0)
{}
Vector &get (Vector &v)
{
static typename Field::Element zero;
typename Vector::iterator i;
size_t idx;
for (i = v.begin (), idx = 0; i != v.end (); i++, idx++) {
if (idx == _j)
_F.init (*i, 1);
else
_F.assign (*i, zero);
}
_j++;
return v;
}
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
size_t size () const { return _n; }
size_t pos () const { return _j; }
size_t dim () const { return _n; }
operator bool () const { return _j < _n; }
void reset () { _j = 0; }
private:
const Field &_F;
size_t _n;
size_t _j;
};
// Specialization of standard basis stream for sparse sequence vectors
template <class Field, class _Vector>
class StandardBasisStream<Field, _Vector, VectorCategories::SparseSequenceVectorTag > : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef StandardBasisStream<Field, Vector, VectorCategories::SparseSequenceVectorTag > Self_t;
StandardBasisStream (Field &F, size_t n)
: _F (F), _n (n), _j (0)
{ _F.init (_one, 1); }
Vector &get (Vector &v)
{
v.clear ();
if (_j < _n)
v.push_back (std::pair <size_t, typename Field::Element> (_j++, _one));
return v;
}
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
size_t size () const { return _n; }
size_t pos () const { return _j; }
size_t dim () const { return _n; }
operator bool () const { return _j < _n; }
void reset () { _j = 0; }
private:
const Field &_F;
size_t _n;
size_t _j;
typename Field::Element _one;
};
// Specialization of standard basis stream for sparse associative vectors
template <class Field, class _Vector>
class StandardBasisStream<Field, _Vector, VectorCategories::SparseAssociativeVectorTag > : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef StandardBasisStream<Field, Vector, VectorCategories::SparseAssociativeVectorTag > Self_t;
StandardBasisStream (Field &F, size_t n)
: _F (F), _n (n), _j (0)
{ _F.init (_one, 1); }
Vector &get (Vector &v)
{
v.clear ();
if (_j < _n)
v.insert (std::pair <size_t, typename Field::Element> (_j++, _one));
return v;
}
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
size_t pos () const { return _j; }
size_t size () const { return _n; }
size_t dim () const { return _n; }
operator bool () const { return _j < _n; }
void reset () { _j = 0; }
private:
const Field &_F;
size_t _n;
size_t _j;
typename Field::Element _one;
};
// Specialization of standard basis stream for sparse parallel vectors
template <class Field, class _Vector>
class StandardBasisStream<Field, _Vector, VectorCategories::SparseParallelVectorTag > : public VectorStream<_Vector>
{
public:
typedef _Vector Vector;
typedef StandardBasisStream<Field, Vector, VectorCategories::SparseParallelVectorTag> Self_t;
StandardBasisStream (Field &F, size_t n)
: _F (F), _n (n), _j (0)
{ _F.init (_one, 1); }
Vector &get (Vector &v)
{
v.first.clear ();
v.second.clear ();
if (_j < _n) {
v.first.push_back (_j++);
v.second.push_back (_one);
}
return v;
}
/** Extraction operator form
*/
Self_t &operator >> (Vector &v)
{ get (v); return *this; }
size_t size () const { return _n; }
size_t pos () const { return _j; }
size_t dim () const { return _n; }
operator bool () const { return _j < _n; }
void reset () { _j = 0; }
private:
const Field &_F;
size_t _n;
size_t _j;
typename Field::Element _one;
};
} // namespace LinBox
#endif // __VECTOR_STREAM_H
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