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@tias tias released this 29 Dec 08:07
· 420 commits to master since this release
v0.9.11
7d2038a

Change log

0.9.11

FuzzTest bugfix release

  • core: importing a file and adding constrains can turn problems wrongly unsatisfiable (#174)

  • core: Added floordivision '//' on integer variables (#201)

  • core: Wsum care (#182)

  • core: cumulative can not assume args are numpy array (#178)

  • core: add custom cpmpy exceptions

  • core: #172 fix - memory crash on mod

  • core: double negation bug #170

  • globals: Enable deep copy of Cumulative global constraint (#169)

  • examples: csplib prob001 car sequencepy sliding window view only numpy 1200+ (#186)

  • tests: (re)active constraint tests on ortools as default solver (#180)

  • tests: fix deprecation warnings

  • tests: skipif when solvers not available

  • tests: enable automatic tests on github

  • docs: multiple fixes

  • docs: add developer guidelines

  • transf: Make line-expr more linear (#200)

  • solvers: minizinc stopped with a non zero exit code but did not output an error message (#192)

  • solvers: gurobi: timeout status fix

  • tools: Example for maximal propagate set of constraints (#147)

  • tools: prevent incrementality of solvers during tuning

  • tools: mus tool crashes with only 1 soft constraint (#196)

0.9.10

New:

  • tools: added MUS computation to tools
  • tools: added hypaerparameter tuning (with Decaprio, CPAIOR22) to tools
  • cumulative global constraint, with native ortools and decomposition
  • solvers: Z3 interface. Implemented both SAT and OPT subsolvers
  • examples: CSPlib problems, with data, all runnable
  • examples: IJCAI22 tutorial on 'CP as oracle' slides and notebooks
  • variables: add v.clear() to easily clear variables their value

Changed:

  • critical bugfix in double negation normalization
  • bugfixes in solver translations
  • bugfix in negation of globals normalization
  • docs: improved docs on hyperparameter search and adding and testing solvers
  • gurobi: fix timeout status
  • bugfix in element decomposition

0.9.9

Stabilizing the core implementations and a knowledge compiler as solver

New:

  • New example: ortools as propagator (only propagation)
  • Copy method for model and constraints (and hence hash functions)
  • Bools are now treated as numeric when needed
  • Xor is now a global constraint (with a decomposition)
  • the reify-rewrite transformation: most reifications automatically supported
  • the only-numexpr-equality transformation, now generic for all solvers that want
  • PySDD as solver: knowledge compiler for Boolean logic and solveAll model counting

Changed:

  • Docs: many additions (direct solver access, solveAll, adding a solver guide) and improvements
  • Transformation flatten has cleaner implementation
  • Bugfixes in bound computations (modulo, weighted sum)
  • MiniZinc: fix allequal translation, use integer division
  • Reification of Elements now takes range of index variable into account
  • Examples: small fixes and improvements
  • Tests: more and better

0.9.8

An exciting 'technical' release that opens the door to
add many more solvers

  • API change: unified interfaces of solvers/
  • New: the gurobi MIP solver
  • New: transformations/linearisation/
  • More extensive testing
  • PySAT: support time_limit argument to solve

0.9.7

  • New: s.solveAll(): convenient (efficient) solution enumeration
  • New: added sum() to python_builtins, behaves like np.sum
  • Behind the scenes: add 'wsum' weighted sum operator
  • bugfix for sum: always create new expression, do not modify inplace
  • bugfix: allow model with only an objective

0.9.6

  • Added tutorial video and used notebooks
    https://www.youtube.com/watch?v=A4mmmDAdusQ

  • Added to examples/:

    • LP/CP contest 2021, first problem
    • wolf-goat-cabbage and n-puzzle rework
    • palindrome day problem
    • graph coloring australia (with actual map)

  • Added to examples/advanced/:

    • CPMpy versions of visual examples from A. Schiendorfer
    • visual sudoku example with pytorch neural network classification
    • cost-optimal unsatisfiable subset search example
    • step-wise explanations of satisfiable problems
    • smart predict + optimize with integrated pytorch training
    • counterfactual explanations of optimisation problems
    • VRP by learning from historical data

  • API change:

    • m.solve() now only returns True/False, also for optimisation
    • new: m.objective_value(), to get the objective after solving
    • new: SolverLookup.get(solvername, model) for easy solver getting
      names also allow e.g. 'minizinc:chuffed' and 'pysat:glucose4'

  • pysat: better checking of correct package installed

  • pysat: automatic encoding of cardinality constraints like sum(x) >= v

  • to_cnf: more testing, some bugfixes

  • ort: basic support for 'power' operator

  • ort: added installation instructions for or-tools on Apple M1

  • ort: bugfix in solution hinting, clear hints once

  • ort: fix log callback duplicate printing

  • mzn: generic fix for offset 1/0 errors

  • model: better handle empty constraints and non-standard lists

  • model: can now save_to/load_from pickle files

  • bugfixes in bounds computations for modulo operator

  • get_vars: ensure the transformation returns unique elements

  • requirements included minizinc, no longer the case (it is optional)

  • many documentation updates

0.9.5

  • fix bug in ort limitation check for 'modulo' operator
  • mzn: better doc and check on single solution output
  • various documentation updates

0.9.4

Major:

  • re-enabled MiniZinc as a backend solver!
  • reworked how solvers (and subsolvers) are accessed
    -> you can now do model.solve(solver="minizinc:chuffed") and the like
  • added a SolverLookup.solvernames() to get supported names
  • a debugging guide in the docs

Minor:

  • various documentation and test updates
  • some more explicit errors
  • add vectorized operations that were missing (thanks Hakan)
  • pysat: fix bug where constraints were duplicated
  • ort: show validation error when model is invalid
  • ort: work around 'xor' not being reifiable
  • add missing negated_normal for 'xor'

0.9.3

  • make progress logging work in jupyter/IPython (beta ortools feature)
  • transf/get_variables now has print_variables that prints domains, for debugging with domains
  • fix automatic bounds computation of auxiliary variables for abs,mul,div,pow (mostly due to negative numbers)

0.9.2

  • pysat: tseitin encode all logical operators
  • to_cnf tseitin encoding for logical operators, with tests
  • better chaining of n-ary operators, fixes #39
  • doc: beginner tutorial add optimisation
  • doc: extend multiple solutions, minisearch, diverse solutions
  • ort: add OrtSolutionPrinter and solve(solution_callback=...)
  • example of diverse solutions
  • vectorized 'abs' operator
  • flatten: fix some bound computations

0.9.1

  • easier hyperparameter search with param_combinations() helper function in cpmpy.solvers

0.9.0

First beta release!

  • Reorganize cpmpy/ modules (not backward-compatible)
  • Rework variables/constraint constructors (deprecation warnings for old constructors, will be removed with stable release)
  • Updated all examples to follow new style
  • Add PySAT backend, with incrementality/core extraction (only accepts CNF input for now)
  • Add minimize()/maximize() to Model() and solver objects
  • simpler from cpmpy.solvers import CPM_ortools for solver-specific use
  • Add keyword arguments to solve() that configure solver-specific options
  • Add example of hyperparameter gridsearch
  • Updated API and user docs considerably

0.7.2

  • get_core() work around bug in upstream ortools

0.7.1

  • still learning the right release flow, this is a stable release

0.7.0b

  • still learning the right release flow

0.7.0

Major

  • Reworked solver interface so that it is near-identical to model interface
  • Or-tools interface allows unsat core extraction!
  • Add MARCO MUS enumerate as example of unsat core extraction usage
  • variables now take a name= argument for variable name (easier debugging)

Enhancements

  • Added more examples: bibd, npuzzle
  • Added 'table' global constraint
  • Added support for time_limit when calling solve()
  • Added more tests on the flattening
  • Add solution hints to ortools interface
  • Improved documentation

Bugfixes

  • multiple fixes and improvements in ortools interface
  • fix module (thanks HakanK)
  • various bugfixes

0.6.0

Major

  • Or-tools is now the default backend

Enhancements

  • A new flat normal form with flatten_model transformation
  • Generic global constraint decompositions
  • Adding more examples
  • Documentation improvements.
  • Multiple bug fixes related to the integration of OR-Tools
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