def solve(self, specs):
"""Solve given a set of specs.
Parameters
----------
specs : list of str
A list of package specs. You can use `conda.models.match_spec.MatchSpec`
to get them to the right form by calling
`MatchSpec(mypec).conda_build_form()`
Returns
-------
solvable : bool
True if the set of specs has a solution, False otherwise.
"""
solver_options = [(api.SOLVER_FLAG_ALLOW_DOWNGRADE, 1)]
solver = api.Solver(self.pool, solver_options)
_specs = [_norm_spec(s) for s in specs]
solver.add_jobs(_specs, api.SOLVER_INSTALL)
success = solver.solve()
if not success:
logger.warning(
"MAMBA failed to solve specs \n\n%s\n\nfor channels "
"\n\n%s\n\nThe reported errors are:\n\n%s",
pprint.pformat(_specs),
pprint.pformat(self.channels),
solver.problems_to_str(),
)
return success
def solve(
self,
specs,
get_run_exports=False,
ignore_run_exports_from=None,
ignore_run_exports=None,
) -> Tuple[bool, List[str]]:
"""Solve given a set of specs.
Parameters
----------
specs : list of str
A list of package specs. You can use `conda.models.match_spec.MatchSpec`
to get them to the right form by calling
`MatchSpec(mypec).conda_build_form()`
get_run_exports : bool, optional
If True, return run exports else do not.
ignore_run_exports_from : list, optional
A list of packages from which to ignore the run exports.
ignore_run_exports : list, optional
A list of things that should be ignore in the run exports.
Returns
-------
solvable : bool
True if the set of specs has a solution, False otherwise.
err : str
The errors as a string. If no errors, is None.
solution : list of str
A list of concrete package specs for the env.
run_exports : dict of list of str
A dictionary with the weak and strong run exports for the packages.
Only returned if get_run_exports is True.
"""
ignore_run_exports_from = ignore_run_exports_from or []
ignore_run_exports = ignore_run_exports or []
solver_options = [(api.SOLVER_FLAG_ALLOW_DOWNGRADE, 1)]
solver = api.Solver(self.pool, solver_options)
_specs = [_norm_spec(s) for s in specs]
logger.debug("MAMBA running solver for specs \n\n%s\n",
pprint.pformat(_specs))
solver.add_jobs(_specs, api.SOLVER_INSTALL)
success = solver.solve()
err = None
if not success:
logger.warning(
"MAMBA failed to solve specs \n\n%s\n\nfor channels "
"\n\n%s\n\nThe reported errors are:\n\n%s\n",
pprint.pformat(_specs),
pprint.pformat(self.channels),
solver.problems_to_str(),
)
err = solver.problems_to_str()
solution = None
run_exports = copy.deepcopy(DEFAULT_RUN_EXPORTS)
else:
t = api.Transaction(
solver,
PACKAGE_CACHE,
self.repos,
)
solution = []
_, to_link, _ = t.to_conda()
for _, _, jdata in to_link:
data = json.loads(jdata)
solution.append(
" ".join([data["name"], data["version"], data["build"]]), )
if get_run_exports:
logger.debug(
"MAMBA getting run exports for \n\n%s\n",
pprint.pformat(solution),
)
run_exports = self._get_run_exports(
to_link,
_specs,
ignore_run_exports_from,
ignore_run_exports,
)
if get_run_exports:
return success, err, solution, run_exports
else:
return success, err, solution