Current File : //proc/self/root/opt/alt/python35/lib/python3.5/site-packages/pip/_vendor/resolvelib/resolvers.py
import collections
from .compat import collections_abc
from .providers import AbstractResolver
from .structs import DirectedGraph
RequirementInformation = collections.namedtuple(
"RequirementInformation", ["requirement", "parent"]
)
class ResolverException(Exception):
"""A base class for all exceptions raised by this module.
Exceptions derived by this class should all be handled in this module. Any
bubbling pass the resolver should be treated as a bug.
"""
class RequirementsConflicted(ResolverException):
def __init__(self, criterion):
super(RequirementsConflicted, self).__init__(criterion)
self.criterion = criterion
def __str__(self):
return "Requirements conflict: {}".format(
", ".join(repr(r) for r in self.criterion.iter_requirement()),
)
class InconsistentCandidate(ResolverException):
def __init__(self, candidate, criterion):
super(InconsistentCandidate, self).__init__(candidate, criterion)
self.candidate = candidate
self.criterion = criterion
def __str__(self):
return "Provided candidate {!r} does not satisfy {}".format(
self.candidate,
", ".join(repr(r) for r in self.criterion.iter_requirement()),
)
class Criterion(object):
"""Representation of possible resolution results of a package.
This holds three attributes:
* `information` is a collection of `RequirementInformation` pairs.
Each pair is a requirement contributing to this criterion, and the
candidate that provides the requirement.
* `incompatibilities` is a collection of all known not-to-work candidates
to exclude from consideration.
* `candidates` is a collection containing all possible candidates deducted
from the union of contributing requirements and known incompatibilities.
It should never be empty, except when the criterion is an attribute of a
raised `RequirementsConflicted` (in which case it is always empty).
.. note::
This class is intended to be externally immutable. **Do not** mutate
any of its attribute containers.
"""
def __init__(self, candidates, information, incompatibilities):
self.candidates = candidates
self.information = information
self.incompatibilities = incompatibilities
def __repr__(self):
requirements = ", ".join(
"({!r}, via={!r})".format(req, parent)
for req, parent in self.information
)
return "Criterion({})".format(requirements)
@classmethod
def from_requirement(cls, provider, requirement, parent):
"""Build an instance from a requirement.
"""
candidates = provider.find_matches([requirement])
if not isinstance(candidates, collections_abc.Sequence):
candidates = list(candidates)
criterion = cls(
candidates=candidates,
information=[RequirementInformation(requirement, parent)],
incompatibilities=[],
)
if not candidates:
raise RequirementsConflicted(criterion)
return criterion
def iter_requirement(self):
return (i.requirement for i in self.information)
def iter_parent(self):
return (i.parent for i in self.information)
def merged_with(self, provider, requirement, parent):
"""Build a new instance from this and a new requirement.
"""
infos = list(self.information)
infos.append(RequirementInformation(requirement, parent))
candidates = provider.find_matches([r for r, _ in infos])
if not isinstance(candidates, collections_abc.Sequence):
candidates = list(candidates)
criterion = type(self)(candidates, infos, list(self.incompatibilities))
if not candidates:
raise RequirementsConflicted(criterion)
return criterion
def excluded_of(self, candidate):
"""Build a new instance from this, but excluding specified candidate.
Returns the new instance, or None if we still have no valid candidates.
"""
incompats = list(self.incompatibilities)
incompats.append(candidate)
candidates = [c for c in self.candidates if c != candidate]
if not candidates:
return None
criterion = type(self)(candidates, list(self.information), incompats)
return criterion
class ResolutionError(ResolverException):
pass
class ResolutionImpossible(ResolutionError):
def __init__(self, causes):
super(ResolutionImpossible, self).__init__(causes)
# causes is a list of RequirementInformation objects
self.causes = causes
class ResolutionTooDeep(ResolutionError):
def __init__(self, round_count):
super(ResolutionTooDeep, self).__init__(round_count)
self.round_count = round_count
# Resolution state in a round.
State = collections.namedtuple("State", "mapping criteria")
class Resolution(object):
"""Stateful resolution object.
This is designed as a one-off object that holds information to kick start
the resolution process, and holds the results afterwards.
"""
def __init__(self, provider, reporter):
self._p = provider
self._r = reporter
self._states = []
@property
def state(self):
try:
return self._states[-1]
except IndexError:
raise AttributeError("state")
def _push_new_state(self):
"""Push a new state into history.
This new state will be used to hold resolution results of the next
coming round.
"""
try:
base = self._states[-1]
except IndexError:
state = State(mapping=collections.OrderedDict(), criteria={})
else:
state = State(
mapping=base.mapping.copy(), criteria=base.criteria.copy(),
)
self._states.append(state)
def _merge_into_criterion(self, requirement, parent):
self._r.adding_requirement(requirement, parent)
name = self._p.identify(requirement)
try:
crit = self.state.criteria[name]
except KeyError:
crit = Criterion.from_requirement(self._p, requirement, parent)
else:
crit = crit.merged_with(self._p, requirement, parent)
return name, crit
def _get_criterion_item_preference(self, item):
name, criterion = item
try:
pinned = self.state.mapping[name]
except KeyError:
pinned = None
return self._p.get_preference(
pinned, criterion.candidates, criterion.information,
)
def _is_current_pin_satisfying(self, name, criterion):
try:
current_pin = self.state.mapping[name]
except KeyError:
return False
return all(
self._p.is_satisfied_by(r, current_pin)
for r in criterion.iter_requirement()
)
def _get_criteria_to_update(self, candidate):
criteria = {}
for r in self._p.get_dependencies(candidate):
name, crit = self._merge_into_criterion(r, parent=candidate)
criteria[name] = crit
return criteria
def _attempt_to_pin_criterion(self, name, criterion):
causes = []
for candidate in criterion.candidates:
try:
criteria = self._get_criteria_to_update(candidate)
except RequirementsConflicted as e:
causes.append(e.criterion)
continue
# Check the newly-pinned candidate actually works. This should
# always pass under normal circumstances, but in the case of a
# faulty provider, we will raise an error to notify the implementer
# to fix find_matches() and/or is_satisfied_by().
satisfied = all(
self._p.is_satisfied_by(r, candidate)
for r in criterion.iter_requirement()
)
if not satisfied:
raise InconsistentCandidate(candidate, criterion)
# Put newly-pinned candidate at the end. This is essential because
# backtracking looks at this mapping to get the last pin.
self._r.pinning(candidate)
self.state.mapping.pop(name, None)
self.state.mapping[name] = candidate
self.state.criteria.update(criteria)
return []
# All candidates tried, nothing works. This criterion is a dead
# end, signal for backtracking.
return causes
def _backtrack(self):
# Drop the current state, it's known not to work.
del self._states[-1]
# We need at least 2 states here:
# (a) One to backtrack to.
# (b) One to restore state (a) to its state prior to candidate-pinning,
# so we can pin another one instead.
while len(self._states) >= 2:
# Retract the last candidate pin.
prev_state = self._states.pop()
try:
name, candidate = prev_state.mapping.popitem()
except KeyError:
continue
self._r.backtracking(candidate)
# Create a new state to work on, with the newly known not-working
# candidate excluded.
self._push_new_state()
# Mark the retracted candidate as incompatible.
criterion = self.state.criteria[name].excluded_of(candidate)
if criterion is None:
# This state still does not work. Try the still previous state.
del self._states[-1]
continue
self.state.criteria[name] = criterion
return True
return False
def resolve(self, requirements, max_rounds):
if self._states:
raise RuntimeError("already resolved")
self._push_new_state()
for r in requirements:
try:
name, crit = self._merge_into_criterion(r, parent=None)
except RequirementsConflicted as e:
raise ResolutionImpossible(e.criterion.information)
self.state.criteria[name] = crit
self._r.starting()
for round_index in range(max_rounds):
self._r.starting_round(round_index)
self._push_new_state()
curr = self.state
unsatisfied_criterion_items = [
item
for item in self.state.criteria.items()
if not self._is_current_pin_satisfying(*item)
]
# All criteria are accounted for. Nothing more to pin, we are done!
if not unsatisfied_criterion_items:
del self._states[-1]
self._r.ending(curr)
return self.state
# Choose the most preferred unpinned criterion to try.
name, criterion = min(
unsatisfied_criterion_items,
key=self._get_criterion_item_preference,
)
failure_causes = self._attempt_to_pin_criterion(name, criterion)
# Backtrack if pinning fails.
if failure_causes:
result = self._backtrack()
if not result:
causes = [
i for crit in failure_causes for i in crit.information
]
raise ResolutionImpossible(causes)
self._r.ending_round(round_index, curr)
raise ResolutionTooDeep(max_rounds)
def _has_route_to_root(criteria, key, all_keys, connected):
if key in connected:
return True
if key not in criteria:
return False
for p in criteria[key].iter_parent():
try:
pkey = all_keys[id(p)]
except KeyError:
continue
if pkey in connected:
connected.add(key)
return True
if _has_route_to_root(criteria, pkey, all_keys, connected):
connected.add(key)
return True
return False
Result = collections.namedtuple("Result", "mapping graph criteria")
def _build_result(state):
mapping = state.mapping
all_keys = {id(v): k for k, v in mapping.items()}
all_keys[id(None)] = None
graph = DirectedGraph()
graph.add(None) # Sentinel as root dependencies' parent.
connected = {None}
for key, criterion in state.criteria.items():
if not _has_route_to_root(state.criteria, key, all_keys, connected):
continue
if key not in graph:
graph.add(key)
for p in criterion.iter_parent():
try:
pkey = all_keys[id(p)]
except KeyError:
continue
if pkey not in graph:
graph.add(pkey)
graph.connect(pkey, key)
return Result(
mapping={k: v for k, v in mapping.items() if k in connected},
graph=graph,
criteria=state.criteria,
)
class Resolver(AbstractResolver):
"""The thing that performs the actual resolution work.
"""
base_exception = ResolverException
def resolve(self, requirements, max_rounds=100):
"""Take a collection of constraints, spit out the resolution result.
The return value is a representation to the final resolution result. It
is a tuple subclass with three public members:
* `mapping`: A dict of resolved candidates. Each key is an identifier
of a requirement (as returned by the provider's `identify` method),
and the value is the resolved candidate.
* `graph`: A `DirectedGraph` instance representing the dependency tree.
The vertices are keys of `mapping`, and each edge represents *why*
a particular package is included. A special vertex `None` is
included to represent parents of user-supplied requirements.
* `criteria`: A dict of "criteria" that hold detailed information on
how edges in the graph are derived. Each key is an identifier of a
requirement, and the value is a `Criterion` instance.
The following exceptions may be raised if a resolution cannot be found:
* `ResolutionImpossible`: A resolution cannot be found for the given
combination of requirements. The `causes` attribute of the
exception is a list of (requirement, parent), giving the
requirements that could not be satisfied.
* `ResolutionTooDeep`: The dependency tree is too deeply nested and
the resolver gave up. This is usually caused by a circular
dependency, but you can try to resolve this by increasing the
`max_rounds` argument.
"""
resolution = Resolution(self.provider, self.reporter)
state = resolution.resolve(requirements, max_rounds=max_rounds)
return _build_result(state)
Mini Shell