1class AbstractProvider(object): 2 """Delegate class to provide requirement interface for the resolver.""" 3 4 def identify(self, requirement_or_candidate): 5 """Given a requirement, return an identifier for it. 6 7 This is used to identify a requirement, e.g. whether two requirements 8 should have their specifier parts merged. 9 """ 10 raise NotImplementedError 11 12 def get_preference( 13 self, 14 identifier, 15 resolutions, 16 candidates, 17 information, 18 backtrack_causes, 19 ): 20 """Produce a sort key for given requirement based on preference. 21 22 The preference is defined as "I think this requirement should be 23 resolved first". The lower the return value is, the more preferred 24 this group of arguments is. 25 26 :param identifier: An identifier as returned by ``identify()``. This 27 identifies the dependency matches of which should be returned. 28 :param resolutions: Mapping of candidates currently pinned by the 29 resolver. Each key is an identifier, and the value a candidate. 30 The candidate may conflict with requirements from ``information``. 31 :param candidates: Mapping of each dependency's possible candidates. 32 Each value is an iterator of candidates. 33 :param information: Mapping of requirement information of each package. 34 Each value is an iterator of *requirement information*. 35 :param backtrack_causes: Sequence of requirement information that were 36 the requirements that caused the resolver to most recently backtrack. 37 38 A *requirement information* instance is a named tuple with two members: 39 40 * ``requirement`` specifies a requirement contributing to the current 41 list of candidates. 42 * ``parent`` specifies the candidate that provides (dependend on) the 43 requirement, or ``None`` to indicate a root requirement. 44 45 The preference could depend on a various of issues, including (not 46 necessarily in this order): 47 48 * Is this package pinned in the current resolution result? 49 * How relaxed is the requirement? Stricter ones should probably be 50 worked on first? (I don't know, actually.) 51 * How many possibilities are there to satisfy this requirement? Those 52 with few left should likely be worked on first, I guess? 53 * Are there any known conflicts for this requirement? We should 54 probably work on those with the most known conflicts. 55 56 A sortable value should be returned (this will be used as the ``key`` 57 parameter of the built-in sorting function). The smaller the value is, 58 the more preferred this requirement is (i.e. the sorting function 59 is called with ``reverse=False``). 60 """ 61 raise NotImplementedError 62 63 def find_matches(self, identifier, requirements, incompatibilities): 64 """Find all possible candidates that satisfy given constraints. 65 66 :param identifier: An identifier as returned by ``identify()``. This 67 identifies the dependency matches of which should be returned. 68 :param requirements: A mapping of requirements that all returned 69 candidates must satisfy. Each key is an identifier, and the value 70 an iterator of requirements for that dependency. 71 :param incompatibilities: A mapping of known incompatibilities of 72 each dependency. Each key is an identifier, and the value an 73 iterator of incompatibilities known to the resolver. All 74 incompatibilities *must* be excluded from the return value. 75 76 This should try to get candidates based on the requirements' types. 77 For VCS, local, and archive requirements, the one-and-only match is 78 returned, and for a "named" requirement, the index(es) should be 79 consulted to find concrete candidates for this requirement. 80 81 The return value should produce candidates ordered by preference; the 82 most preferred candidate should come first. The return type may be one 83 of the following: 84 85 * A callable that returns an iterator that yields candidates. 86 * An collection of candidates. 87 * An iterable of candidates. This will be consumed immediately into a 88 list of candidates. 89 """ 90 raise NotImplementedError 91 92 def is_satisfied_by(self, requirement, candidate): 93 """Whether the given requirement can be satisfied by a candidate. 94 95 The candidate is guarenteed to have been generated from the 96 requirement. 97 98 A boolean should be returned to indicate whether ``candidate`` is a 99 viable solution to the requirement. 100 """ 101 raise NotImplementedError 102 103 def get_dependencies(self, candidate): 104 """Get dependencies of a candidate. 105 106 This should return a collection of requirements that `candidate` 107 specifies as its dependencies. 108 """ 109 raise NotImplementedError 110 111 112class AbstractResolver(object): 113 """The thing that performs the actual resolution work.""" 114 115 base_exception = Exception 116 117 def __init__(self, provider, reporter): 118 self.provider = provider 119 self.reporter = reporter 120 121 def resolve(self, requirements, **kwargs): 122 """Take a collection of constraints, spit out the resolution result. 123 124 This returns a representation of the final resolution state, with one 125 guarenteed attribute ``mapping`` that contains resolved candidates as 126 values. The keys are their respective identifiers. 127 128 :param requirements: A collection of constraints. 129 :param kwargs: Additional keyword arguments that subclasses may accept. 130 131 :raises: ``self.base_exception`` or its subclass. 132 """ 133 raise NotImplementedError 134