TEASER++ python

TEASER++ is a Python library for creating and solving constraint satisfaction problems (CSPs). It provides a convenient way to define variables, domains, and constraints, and allows you to find solutions that satisfy all the given constraints.

To get started with TEASER++, you can follow these steps:
1. Install TEASER++ by running `pip install teaserpp`.
2. Import the necessary modules in your Python script:

from teaserpp import Constraint, Domain, Problem, Variable

3. Create variables using the `Variable` class and specify their domains using the `Domain` class:

x = Variable("x", Domain(range(1, 10)))
y = Variable("y", Domain(range(1, 10)))

4. Define constraints using the `Constraint` class. You can use various operators like `==`, `!=`, `<`, `>`, `<=`, `>=`, and logical operators like `&` (and), `|` (or), and `~` (not):

constraint = Constraint(x != y)

5. Create a problem instance using the `Problem` class and add variables and constraints to it:

problem = Problem()
problem.add_variable(x)
problem.add_variable(y)
problem.add_constraint(constraint)

6. Solve the problem using the `solve()` method:

solutions = problem.solve()

7. Iterate over the solutions to retrieve the values of variables that satisfy the constraints:

for solution in solutions:
    print(solution[x], solution[y])

This is just a basic overview of TEASER++. You can refer to the official documentation for more details and advanced usage.

Please note that the above information is based on my understanding of TEASER++ as of now. If there are any specific details or updates you would like to know, please let me know!