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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def solve_resource(self, value, resource):
 """Solve the given resource for the given value. The solving is done by the first resource solver class that returns ``True`` when calling its ``can_solve`` method for the given resource, and that doesn't raise a ``CannotSolve`` exception. Arguments --------- value : ? A value to be solved with the given resource. resource : dataql.resources.Resource An instance of a subclass of ``Resource`` to be solved with the given value. Returns ------- The solved result. Raises ------ dataql.solvers.exceptions.SolveFailure If no solvers were able to solve the resource. This happen if a solver says that it can solve a resource (by returning ``True`` when calling its ``can_solve`` method, but raises a ``CannotSolve`` exception during solving). Example ------- 1 # Create an object from which we'll want an object (``date``) and a list (``dates``) {'day': 1, 'month': 6, 'year': 2015} [[1, 6, 2015], [2, 6, 2015], [3, 6, 2015]] '2015-06-02' # List of fields ['2015-06-02', '2015-06-03'] # List of objects [{'date': '2015-06-02'}, {'date': '2015-06-03'}] # List of list [['2015-06-01', {'day': 1, 'month': 6, 'year': 2015}], ['2015-06-03', {'day': 3, 'month': 6, 'year': 2015}]] # Test the dict-like approach 1 Traceback (most recent call last):
 3 Traceback (most recent call last):
 # Example of ``SolveFailure`` exception. Traceback (most recent call last):
 dataql.solvers.exceptions.SolveFailure: Unable to solve `<Field[fromtimestamp]>`. """


        for solver in self.get_resource_solvers(resource):
            try:
                return solver.solve(value, resource)
            except CannotSolve:
                continue

        raise SolveFailure(self, resource, value)