Files
lammps/lib/colvars/colvarvalue.h
Giacomo Fiorin 1220bea011 Update Colvars to version 2022-05-09
This update includes one new feature (neural-network based collective
variables), several small enhancements (including an automatic definition of
grid boundaries for angle-based CVs, and a normalization option for
eigenvector-based CVs), bugfixes and documentation improvements.

Usage information for specific features included in the Colvars library
(i.e. not just the library as a whole) is now also reported to the screen or
LAMMPS logfile (as is done already in other LAMMPS classes).

Notable to LAMMPS code development are the removals of duplicated code and of
ambiguously-named preprocessor defines in the Colvars headers.  Since the
last PR, the existing regression tests have also been running automatically
via GitHub Actions.

The following pull requests in the Colvars repository are relevant to LAMMPS:

- 475 Remove fatal error condition
  https://github.com/Colvars/colvars/pull/475 (@jhenin, @giacomofiorin)

- 474 Allow normalizing eigenvector vector components to deal with unit change
  https://github.com/Colvars/colvars/pull/474 (@giacomofiorin, @jhenin)

- 470 Better error handling in the initialization of NeuralNetwork CV
  https://github.com/Colvars/colvars/pull/470 (@HanatoK)

- 468 Add examples of histogram configuration, with and without explicit grid parameters
  https://github.com/Colvars/colvars/pull/468 (@giacomofiorin)

- 464 Fix #463 using more fine-grained features
  https://github.com/Colvars/colvars/pull/464 (@jhenin, @giacomofiorin)

- 447 [RFC] New option "scaledBiasingForce" for colvarbias
  https://github.com/Colvars/colvars/pull/447 (@HanatoK, @jhenin)

- 444 [RFC] Implementation of dense neural network as CV
  https://github.com/Colvars/colvars/pull/444 (@HanatoK, @giacomofiorin, @jhenin)

- 443 Fix explicit gradient dependency of sub-CVs
  https://github.com/Colvars/colvars/pull/443 (@HanatoK, @jhenin)

- 442 Persistent bias count
  https://github.com/Colvars/colvars/pull/442 (@jhenin, @giacomofiorin)

- 437 Return type of bias from scripting interface
  https://github.com/Colvars/colvars/pull/437 (@giacomofiorin)

- 434 More flexible use of boundaries from colvars by grids
  https://github.com/Colvars/colvars/pull/434 (@jhenin)

- 433 Prevent double-free in linearCombination
  https://github.com/Colvars/colvars/pull/433 (@HanatoK)

- 428 More complete documentation for index file format (NDX)
  https://github.com/Colvars/colvars/pull/428 (@giacomofiorin)

- 426 Integrate functional version of backup_file() into base proxy class
  https://github.com/Colvars/colvars/pull/426 (@giacomofiorin)

- 424 Track CVC inheritance when documenting feature usage
  https://github.com/Colvars/colvars/pull/424 (@giacomofiorin)

- 419 Generate citation report while running computations
  https://github.com/Colvars/colvars/pull/419 (@giacomofiorin, @jhenin)

- 415 Rebin metadynamics bias from explicit hills when available
  https://github.com/Colvars/colvars/pull/415 (@giacomofiorin)

- 312 Ignore a keyword if it has content to the left of it (regardless of braces)
  https://github.com/Colvars/colvars/pull/312 (@giacomofiorin)

Authors: @giacomofiorin, @HanatoK, @jhenin
2022-05-10 11:24:54 -04:00

736 lines
23 KiB
C++

// -*- c++ -*-
// This file is part of the Collective Variables module (Colvars).
// The original version of Colvars and its updates are located at:
// https://github.com/Colvars/colvars
// Please update all Colvars source files before making any changes.
// If you wish to distribute your changes, please submit them to the
// Colvars repository at GitHub.
#ifndef COLVARVALUE_H
#define COLVARVALUE_H
#include "colvarmodule.h"
#include "colvartypes.h"
/// \brief Value of a collective variable: this is a metatype which
/// can be set at runtime. By default it is set to be a scalar
/// number, and can be treated as such in all operations (this is
/// done by most \link colvar::cvc \endlink implementations).
///
/// \link colvarvalue \endlink allows \link colvar \endlink to be
/// treat different data types. By default, a \link colvarvalue
/// \endlink variable is a scalar number. To use it as
/// another type, declare and initialize it as
/// `colvarvalue x(colvarvalue::type_xxx)`, use `x.type (colvarvalue::type_xxx)`
/// at a later stage, or if unset,
/// assign the type with `x = y;`, provided y is correctly set.
///
/// All operators (either unary or binary) on a \link
/// colvarvalue \endlink object performs one or more checks on the
/// \link Type \endlink, except when reading from a stream, when there is no way to
/// detect the \link Type \endlink. To use `is >> x;` x \b MUST
/// already have a type correcly set up for properly parsing the
/// stream. No problem of course with the output streams: `os << x;`
///
/// \em Note \em on \em performance: to avoid type checks in a long array of \link
/// colvarvalue \endlink objects, use one of the existing "_opt" functions or implement a new one
class colvarvalue {
public:
/// \brief Possible types of value
///
/// These three cover most possibilities of data type one can
/// devise. If you need to implement a new colvar with a very
/// complex data type, it's better to put an allocatable class here
enum Type {
/// Undefined type
type_notset,
/// Scalar number, implemented as \link colvarmodule::real \endlink (default)
type_scalar,
/// 3-dimensional vector, implemented as \link colvarmodule::rvector \endlink
type_3vector,
/// 3-dimensional unit vector, implemented as \link colvarmodule::rvector \endlink
type_unit3vector,
/// 3-dimensional vector that is a derivative of a unitvector
type_unit3vectorderiv,
/// 4-dimensional unit vector representing a rotation, implemented as \link colvarmodule::quaternion \endlink
type_quaternion,
/// 4-dimensional vector that is a derivative of a quaternion
type_quaternionderiv,
/// vector (arbitrary dimension)
type_vector,
/// Needed to iterate through enum
type_all
};
/// Current type of this colvarvalue object
Type value_type;
/// \brief Real data member
cvm::real real_value;
/// \brief 3-dimensional vector data member
cvm::rvector rvector_value;
/// \brief Quaternion data member
cvm::quaternion quaternion_value;
/// \brief Generic vector data member
cvm::vector1d<cvm::real> vector1d_value;
/// \brief If \link vector1d_value \endlink is a concatenation of colvarvalues,
/// keep track of the individual types
std::vector<Type> elem_types;
/// \brief If \link vector1d_value \endlink is a concatenation of colvarvalues,
/// these mark the initial components of each colvarvalue
std::vector<int> elem_indices;
/// \brief If \link vector1d_value \endlink is a concatenation of colvarvalues,
/// these mark how many components for each colvarvalue
std::vector<int> elem_sizes;
/// \brief Whether or not the type check is enforced
static inline bool type_checking()
{
return true;
}
/// Runtime description of value types
static std::string const type_desc(Type t);
/// User keywords for specifying value types in the configuration
static std::string const type_keyword(Type t);
/// Number of degrees of freedom for each supported type
static size_t num_df(Type t);
/// Number of dimensions for each supported type (used to allocate vector1d_value)
static size_t num_dimensions(Type t);
/// Number of dimensions of this variable
size_t size() const;
/// \brief Default constructor: this class defaults to a scalar
/// number and always behaves like it unless you change its type
colvarvalue();
/// Constructor from a type specification
colvarvalue(Type const &vti);
/// Copy constructor from real base type
colvarvalue(cvm::real const &x);
/// \brief Copy constructor from rvector base type (Note: this sets
/// by default a type \link type_3vector \endlink , if you want a
/// \link type_unit3vector \endlink you must set it explicitly)
colvarvalue(cvm::rvector const &v, Type vti = type_3vector);
/// \brief Copy constructor from quaternion base type
colvarvalue(cvm::quaternion const &q, Type vti = type_quaternion);
/// Copy constructor from vector1d base type
colvarvalue(cvm::vector1d<cvm::real> const &v, Type vti = type_vector);
/// Copy constructor from another \link colvarvalue \endlink
colvarvalue(colvarvalue const &x);
/// Set to the null value for the data type currently defined
void reset();
/// \brief If the variable has constraints (e.g. unitvector or
/// quaternion), transform it to satisfy them; this function needs
/// to be called only when the \link colvarvalue \endlink
/// is calculated outside of \link colvar::cvc \endlink objects
void apply_constraints();
/// Get the current type
inline Type type() const
{
return value_type;
}
/// Set the type explicitly
void type(Type const &vti);
/// Set the type after another \link colvarvalue \endlink
void type(colvarvalue const &x);
/// Make the type a derivative of the original type
/// (so that its constraints do not apply)
void is_derivative();
/// Square norm of this colvarvalue
cvm::real norm2() const;
/// Norm of this colvarvalue
inline cvm::real norm() const
{
return cvm::sqrt(this->norm2());
}
/// Sum of the components of this colvarvalue (if more than one dimension)
cvm::real sum() const;
/// Return a colvarvalue object of the same type and all components set to 1
colvarvalue ones() const;
/// Square distance between this \link colvarvalue \endlink and another
cvm::real dist2(colvarvalue const &x2) const;
/// Derivative with respect to this \link colvarvalue \endlink of the square distance
colvarvalue dist2_grad(colvarvalue const &x2) const;
/// Return the midpoint between x1 and x2, optionally weighted by lambda
/// (which must be between 0.0 and 1.0)
static colvarvalue const interpolate(colvarvalue const &x1,
colvarvalue const &x2,
cvm::real const lambda = 0.5);
/// Assignment operator (type of x is checked)
colvarvalue & operator = (colvarvalue const &x);
void operator += (colvarvalue const &x);
void operator -= (colvarvalue const &x);
void operator *= (cvm::real const &a);
void operator /= (cvm::real const &a);
// Binary operators (return values)
friend colvarvalue operator + (colvarvalue const &x1, colvarvalue const &x2);
friend colvarvalue operator - (colvarvalue const &x1, colvarvalue const &x2);
friend colvarvalue operator * (colvarvalue const &x, cvm::real const &a);
friend colvarvalue operator * (cvm::real const &a, colvarvalue const &x);
friend colvarvalue operator / (colvarvalue const &x, cvm::real const &a);
/// Inner product
friend cvm::real operator * (colvarvalue const &x1, colvarvalue const &x2);
// Cast to scalar
inline operator cvm::real() const
{
if (value_type != type_scalar) {
cvm::error("Error: trying to use a variable of type \""+
type_desc(value_type)+"\" as one of type \""+
type_desc(type_scalar)+"\".\n");
}
return real_value;
}
// Cast to 3-vector
inline operator cvm::rvector() const
{
if ((value_type != type_3vector) &&
(value_type != type_unit3vector) &&
(value_type != type_unit3vectorderiv)) {
cvm::error("Error: trying to use a variable of type \""+
type_desc(value_type)+"\" as one of type \""+
type_desc(type_3vector)+"\".\n");
}
return rvector_value;
}
// Cast to quaternion
inline operator cvm::quaternion() const
{
if ((value_type != type_quaternion) &&
(value_type != type_quaternionderiv)) {
cvm::error("Error: trying to use a variable of type \""+
type_desc(value_type)+"\" as one of type \""+
type_desc(type_quaternion)+"\".\n");
}
return quaternion_value;
}
// Create a n-dimensional vector from one of the basic types, or return the existing vector
cvm::vector1d<cvm::real> const as_vector() const;
/// Whether this variable is a real number
inline bool is_scalar() const
{
return (value_type == type_scalar);
}
/// Add an element to the vector (requires that type_vector is already set).
/// This is only needed to use this object as a vector of "complex" colvar values.
/// To use it instead as a plain n-dimensional vector, access vector1d_value directly.
void add_elem(colvarvalue const &x);
/// Get a single colvarvalue out of elements of the vector
colvarvalue const get_elem(int const i_begin, int const i_end, Type const vt) const;
/// Get a single colvarvalue out of elements of the vector
colvarvalue const get_elem(int const icv) const;
/// Set elements of the vector from a single colvarvalue (uses the rank of x
/// to compute the length)
void set_elem(int const icv, colvarvalue const &x);
/// Set elements of the vector from a single colvarvalue
void set_elem(int const i_begin, int const i_end, colvarvalue const &x);
/// Make each element a random number in N(0,1)
void set_random();
/// Make each element equal to the given argument
void set_ones(cvm::real assigned_value = 1.0);
/// Get a scalar number out of an element of the vector
cvm::real operator [] (int const i) const;
/// Use an element of the vector as a scalar number
cvm::real & operator [] (int const i);
/// Ensure that the two types are the same within a binary operator
static int check_types(colvarvalue const &x1, colvarvalue const &x2);
/// Ensure that the two types are the same within an assignment, or that the left side is type_notset
static int check_types_assign(Type const &vt1, Type const &vt2);
/// Undefined operation
void undef_op() const;
/// \brief Formatted output operator
friend std::ostream & operator << (std::ostream &os, colvarvalue const &q);
/// \brief Formatted input operator
friend std::istream & operator >> (std::istream &is, colvarvalue &q);
/// Give the number of characters required to output this
/// colvarvalue, given the current type assigned and the number of
/// characters for a real number
size_t output_width(size_t const &real_width) const;
/// Formats value as a script-friendly string (space separated list)
std::string to_simple_string() const;
/// Parses value from a script-friendly string (space separated list)
int from_simple_string(std::string const &s);
// optimized routines for operations on arrays of colvar values;
// xv and result are assumed to have the same number of elements
/// \brief Optimized routine for the inner product of one collective
/// variable with an array
static void inner_opt(colvarvalue const &x,
std::vector<colvarvalue>::iterator &xv,
std::vector<colvarvalue>::iterator const &xv_end,
std::vector<cvm::real>::iterator &result);
/// \brief Optimized routine for the inner product of one collective
/// variable with an array
static void inner_opt(colvarvalue const &x,
std::list<colvarvalue>::iterator &xv,
std::list<colvarvalue>::iterator const &xv_end,
std::vector<cvm::real>::iterator &result);
/// \brief Optimized routine for the second order Legendre
/// polynomial, (3cos^2(w)-1)/2, of one collective variable with an
/// array
static void p2leg_opt(colvarvalue const &x,
std::vector<colvarvalue>::iterator &xv,
std::vector<colvarvalue>::iterator const &xv_end,
std::vector<cvm::real>::iterator &result);
/// \brief Optimized routine for the second order Legendre
/// polynomial of one collective variable with an array
static void p2leg_opt(colvarvalue const &x,
std::list<colvarvalue>::iterator &xv,
std::list<colvarvalue>::iterator const &xv_end,
std::vector<cvm::real>::iterator &result);
};
inline size_t colvarvalue::size() const
{
switch (value_type) {
case colvarvalue::type_notset:
default:
return 0; break;
case colvarvalue::type_scalar:
return 1; break;
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
return 3; break;
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
return 4; break;
case colvarvalue::type_vector:
return vector1d_value.size(); break;
}
}
inline cvm::real colvarvalue::operator [] (int const i) const
{
switch (value_type) {
case colvarvalue::type_notset:
default:
cvm::error("Error: trying to access a colvar value "
"that is not initialized.\n", COLVARS_BUG_ERROR);
return 0.0; break;
case colvarvalue::type_scalar:
return real_value; break;
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
return rvector_value[i]; break;
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
return quaternion_value[i]; break;
case colvarvalue::type_vector:
return vector1d_value[i]; break;
}
}
inline cvm::real & colvarvalue::operator [] (int const i)
{
switch (value_type) {
case colvarvalue::type_notset:
default:
cvm::error("Error: trying to access a colvar value "
"that is not initialized.\n", COLVARS_BUG_ERROR);
return real_value; break;
case colvarvalue::type_scalar:
return real_value; break;
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
return rvector_value[i]; break;
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
return quaternion_value[i]; break;
case colvarvalue::type_vector:
return vector1d_value[i]; break;
}
}
inline int colvarvalue::check_types(colvarvalue const &x1,
colvarvalue const &x2)
{
if (!colvarvalue::type_checking()) {
return COLVARS_OK;
}
if (x1.type() != x2.type()) {
if (((x1.type() == type_unit3vector) &&
(x2.type() == type_unit3vectorderiv)) ||
((x2.type() == type_unit3vector) &&
(x1.type() == type_unit3vectorderiv)) ||
((x1.type() == type_quaternion) &&
(x2.type() == type_quaternionderiv)) ||
((x2.type() == type_quaternion) &&
(x1.type() == type_quaternionderiv))) {
return COLVARS_OK;
} else {
cvm::error("Trying to perform an operation between two colvar "
"values with different types, \""+
colvarvalue::type_desc(x1.type())+
"\" and \""+
colvarvalue::type_desc(x2.type())+
"\".\n");
return COLVARS_ERROR;
}
}
if (x1.type() == type_vector) {
if (x1.vector1d_value.size() != x2.vector1d_value.size()) {
cvm::error("Trying to perform an operation between two vector colvar "
"values with different sizes, "+
cvm::to_str(x1.vector1d_value.size())+
" and "+
cvm::to_str(x2.vector1d_value.size())+
".\n");
return COLVARS_ERROR;
}
}
return COLVARS_OK;
}
inline int colvarvalue::check_types_assign(colvarvalue::Type const &vt1,
colvarvalue::Type const &vt2)
{
if (!colvarvalue::type_checking()) {
return COLVARS_OK;
}
if (vt1 != type_notset) {
if (((vt1 == type_unit3vector) &&
(vt2 == type_unit3vectorderiv)) ||
((vt2 == type_unit3vector) &&
(vt1 == type_unit3vectorderiv)) ||
((vt1 == type_quaternion) &&
(vt2 == type_quaternionderiv)) ||
((vt2 == type_quaternion) &&
(vt1 == type_quaternionderiv))) {
return COLVARS_OK;
} else {
if (vt1 != vt2) {
cvm::error("Trying to assign a colvar value with type \""+
type_desc(vt2)+"\" to one with type \""+
type_desc(vt1)+"\".\n");
return COLVARS_ERROR;
}
}
}
return COLVARS_OK;
}
inline colvarvalue & colvarvalue::operator = (colvarvalue const &x)
{
check_types_assign(this->type(), x.type());
value_type = x.type();
switch (this->type()) {
case colvarvalue::type_scalar:
this->real_value = x.real_value;
break;
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
this->rvector_value = x.rvector_value;
break;
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
this->quaternion_value = x.quaternion_value;
break;
case colvarvalue::type_vector:
vector1d_value = x.vector1d_value;
elem_types = x.elem_types;
elem_indices = x.elem_indices;
elem_sizes = x.elem_sizes;
break;
case colvarvalue::type_notset:
default:
undef_op();
break;
}
return *this;
}
inline void colvarvalue::operator += (colvarvalue const &x)
{
colvarvalue::check_types(*this, x);
switch (this->type()) {
case colvarvalue::type_scalar:
this->real_value += x.real_value;
break;
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
this->rvector_value += x.rvector_value;
break;
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
this->quaternion_value += x.quaternion_value;
break;
case colvarvalue::type_vector:
this->vector1d_value += x.vector1d_value;
break;
case colvarvalue::type_notset:
default:
undef_op();
}
}
inline void colvarvalue::operator -= (colvarvalue const &x)
{
colvarvalue::check_types(*this, x);
switch (value_type) {
case colvarvalue::type_scalar:
real_value -= x.real_value;
break;
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
rvector_value -= x.rvector_value;
break;
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
quaternion_value -= x.quaternion_value;
break;
case colvarvalue::type_vector:
this->vector1d_value -= x.vector1d_value;
break;
case colvarvalue::type_notset:
default:
undef_op();
}
}
inline void colvarvalue::operator *= (cvm::real const &a)
{
switch (value_type) {
case colvarvalue::type_scalar:
real_value *= a;
break;
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vectorderiv:
rvector_value *= a;
break;
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
quaternion_value *= a;
break;
case colvarvalue::type_vector:
this->vector1d_value *= a;
break;
case colvarvalue::type_notset:
default:
undef_op();
}
}
inline void colvarvalue::operator /= (cvm::real const &a)
{
switch (value_type) {
case colvarvalue::type_scalar:
real_value /= a; break;
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
rvector_value /= a; break;
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
quaternion_value /= a; break;
case colvarvalue::type_vector:
this->vector1d_value /= a;
break;
case colvarvalue::type_notset:
default:
undef_op();
}
}
inline cvm::vector1d<cvm::real> const colvarvalue::as_vector() const
{
switch (value_type) {
case colvarvalue::type_scalar:
{
cvm::vector1d<cvm::real> v(1);
v[0] = real_value;
return v;
}
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
return rvector_value.as_vector();
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
return quaternion_value.as_vector();
case colvarvalue::type_vector:
return vector1d_value;
case colvarvalue::type_notset:
default:
return cvm::vector1d<cvm::real>(0);
}
}
inline cvm::real colvarvalue::norm2() const
{
switch (value_type) {
case colvarvalue::type_scalar:
return (this->real_value)*(this->real_value);
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
return (this->rvector_value).norm2();
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
return (this->quaternion_value).norm2();
case colvarvalue::type_vector:
if (elem_types.size() > 0) {
// if we have information about non-scalar types, use it
cvm::real result = 0.0;
size_t i;
for (i = 0; i < elem_types.size(); i++) {
result += (this->get_elem(i)).norm2();
}
return result;
} else {
return vector1d_value.norm2();
}
break;
case colvarvalue::type_notset:
default:
return 0.0;
}
}
inline cvm::real colvarvalue::sum() const
{
switch (value_type) {
case colvarvalue::type_scalar:
return (this->real_value);
case colvarvalue::type_3vector:
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
return (this->rvector_value).x + (this->rvector_value).y +
(this->rvector_value).z;
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
return (this->quaternion_value).q0 + (this->quaternion_value).q1 +
(this->quaternion_value).q2 + (this->quaternion_value).q3;
case colvarvalue::type_vector:
return (this->vector1d_value).sum();
case colvarvalue::type_notset:
default:
return 0.0;
}
}
inline cvm::real colvarvalue::dist2(colvarvalue const &x2) const
{
colvarvalue::check_types(*this, x2);
switch (this->type()) {
case colvarvalue::type_scalar:
return (this->real_value - x2.real_value)*(this->real_value - x2.real_value);
case colvarvalue::type_3vector:
return (this->rvector_value - x2.rvector_value).norm2();
case colvarvalue::type_unit3vector:
case colvarvalue::type_unit3vectorderiv:
// angle between (*this) and x2 is the distance
return cvm::acos(this->rvector_value * x2.rvector_value) * cvm::acos(this->rvector_value * x2.rvector_value);
case colvarvalue::type_quaternion:
case colvarvalue::type_quaternionderiv:
// angle between (*this) and x2 is the distance, the quaternion
// object has it implemented internally
return this->quaternion_value.dist2(x2.quaternion_value);
case colvarvalue::type_vector:
return (this->vector1d_value - x2.vector1d_value).norm2();
case colvarvalue::type_notset:
default:
this->undef_op();
return 0.0;
};
}
#endif