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2 Commits

Author SHA1 Message Date
377c652a83 Update Colvars library to version 2023-05-01
This update consists exclusively of bugfixes or maintenance-related changes.

The following is a list of pull requests in the Colvars repository since the previous update to LAMMPS:

- 532 Add XYZ trajectory reading feature
  https://github.com/Colvars/colvars/pull/532 (@jhenin, @giacomofiorin)

- 531 Delete objects quietly, unless explicitly requested via script (including VMD)
  https://github.com/Colvars/colvars/pull/531 (@giacomofiorin)

- 530 Append newline to log and error messages if not already present
  https://github.com/Colvars/colvars/pull/530 (@giacomofiorin)

- 528 Forward-declare OpenMP lock
  https://github.com/Colvars/colvars/pull/528 (@giacomofiorin)

- 527 Remove unneeded STL container
  https://github.com/Colvars/colvars/pull/527 (@giacomofiorin)

- 526 Allow collecting configuration files and strings before setting up interface
  https://github.com/Colvars/colvars/pull/526 (@giacomofiorin, @jhenin)

- 523 Fallback to linearCombination when customFunction is missing in customColvar
  https://github.com/Colvars/colvars/pull/523 (@HanatoK, @giacomofiorin)

- 522 Use iostream::fail() to check for I/O error
  https://github.com/Colvars/colvars/pull/522 (@jhenin)

- 520 Fix ref count
  https://github.com/Colvars/colvars/pull/520 (@giacomofiorin)

- 513 Set target temperature through a common code path
  https://github.com/Colvars/colvars/pull/513 (@giacomofiorin, @jhenin)

- 509 Safer detection of Windows with recent Microsoft Visual Studio versions
  https://github.com/Colvars/colvars/pull/509 (@akohlmey)

- 508 Update LAMMPS patching method to reflect Lepton availability
  https://github.com/Colvars/colvars/pull/508 (@giacomofiorin)

- 497 Increase the precision of write_multicol
  https://github.com/Colvars/colvars/pull/497 (@HanatoK)

- 496 Only perform MTS automatic enable/disable for timeStepFactor > 1
  https://github.com/Colvars/colvars/pull/496 (@giacomofiorin)

- 493 Remove unused branch of quaternion input function
  https://github.com/Colvars/colvars/pull/493 (@giacomofiorin)

- 489 Ensure there are spaces between the fields in the header
  https://github.com/Colvars/colvars/pull/489 (@HanatoK)

- 487 Use map of output streams, and return references to its elements
  https://github.com/Colvars/colvars/pull/487 (@giacomofiorin, @jhenin)

- 486 Remember first step of moving restraint
  https://github.com/Colvars/colvars/pull/486 (@jhenin)

- 485 Add decoupling option for moving restraints
  https://github.com/Colvars/colvars/pull/485 (@jhenin)

- 483 Update Lepton via patching procedure
  https://github.com/Colvars/colvars/pull/483 (@giacomofiorin)

- 481 Make file-reading operations of input data abstractable
  https://github.com/Colvars/colvars/pull/481 (@giacomofiorin)

Authors: @akohlmey, @giacomofiorin, @HanatoK, @jhenin
2023-05-17 13:29:00 -04:00
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