本文整理匯總了Python中pants.engine.rules.GraphMaker.full_graph方法的典型用法代碼示例。如果您正苦於以下問題：Python GraphMaker.full_graph方法的具體用法？Python GraphMaker.full_graph怎麽用？Python GraphMaker.full_graph使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pants.engine.rules.GraphMaker的用法示例。
在下文中一共展示了GraphMaker.full_graph方法的6個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_full_graph_for_planner_example
# 需要導入模塊: from pants.engine.rules import GraphMaker [as 別名]
# 或者: from pants.engine.rules.GraphMaker import full_graph [as 別名]
def test_full_graph_for_planner_example(self):
symbol_table_cls = TargetTable
address_mapper = AddressMapper(symbol_table_cls, JsonParser, '*.BUILD.json')
tasks = create_graph_tasks(address_mapper, symbol_table_cls) + create_fs_tasks()
intrinsics = create_fs_intrinsics('Let us pretend that this is a ProjectTree!')
rule_index = RuleIndex.create(tasks, intrinsics)
graphmaker = GraphMaker(rule_index,
root_subject_fns={k: lambda p: Select(p) for k in (Address, # TODO, use the actual fns.
PathGlobs,
SingleAddress,
SiblingAddresses,
DescendantAddresses,
AscendantAddresses
)})
fullgraph = graphmaker.full_graph()
print('---diagnostic------')
print(fullgraph.error_message())
print('/---diagnostic------')
print(fullgraph)
# Assert that all of the rules specified the various task fns are present
declared_rules = rule_index.all_rules()
rules_remaining_in_graph_strs = set(str(r.rule) for r in fullgraph.rule_dependencies.keys())
declared_rule_strings = set(str(r) for r in declared_rules)
self.assertEquals(declared_rule_strings,
rules_remaining_in_graph_strs
)
# statically assert that the number of dependency keys is fixed
self.assertEquals(41, len(fullgraph.rule_dependencies))示例2: test_smallest_full_test
# 需要導入模塊: from pants.engine.rules import GraphMaker [as 別名]
# 或者: from pants.engine.rules.GraphMaker import full_graph [as 別名]
def test_smallest_full_test(self):
rules = [
(Exactly(A), (Select(SubA),), noop)
]
graphmaker = GraphMaker(NodeBuilder.create(rules, tuple()),
root_subject_fns={k: lambda p: Select(p) for k in (SubA,)})
fullgraph = graphmaker.full_graph()
self.assert_equal_with_printing(dedent("""
{
root_subject_types: (SubA,)
root_rules: (Exactly(A), (Select(SubA),), noop) of SubA
(Exactly(A), (Select(SubA),), noop) of SubA => (SubjectIsProduct(SubA),)
}""").strip(), fullgraph)示例3: test_multiple_depend_on_same_rule
# 需要導入模塊: from pants.engine.rules import GraphMaker [as 別名]
# 或者: from pants.engine.rules.GraphMaker import full_graph [as 別名]
def test_multiple_depend_on_same_rule(self):
rules = [
(B, (Select(A),), noop),
(C, (Select(A),), noop),
(A, (Select(SubA),), noop)
]
graphmaker = GraphMaker(NodeBuilder.create(rules, tuple()),
root_subject_fns=_suba_root_subject_fns)
subgraph = graphmaker.full_graph()
self.assert_equal_with_printing(dedent("""
{
root_subject_types: (SubA,)
root_rules: (A, (Select(SubA),), noop) of SubA, (B, (Select(A),), noop) of SubA, (C, (Select(A),), noop) of SubA
(A, (Select(SubA),), noop) of SubA => (SubjectIsProduct(SubA),)
(B, (Select(A),), noop) of SubA => ((A, (Select(SubA),), noop) of SubA,)
(C, (Select(A),), noop) of SubA => ((A, (Select(SubA),), noop) of SubA,)
}""").strip(), subgraph)示例4: test_smallest_full_test_multiple_root_subject_types
# 需要導入模塊: from pants.engine.rules import GraphMaker [as 別名]
# 或者: from pants.engine.rules.GraphMaker import full_graph [as 別名]
def test_smallest_full_test_multiple_root_subject_types(self):
rules = [
(Exactly(A), (Select(SubA),), noop),
(Exactly(B), (Select(A),), noop)
]
select_p = lambda p: Select(p)
graphmaker = GraphMaker(NodeBuilder.create(rules, tuple()),
root_subject_fns=OrderedDict([(SubA, select_p), (A, select_p)]))
fullgraph = graphmaker.full_graph()
self.assert_equal_with_printing(dedent("""
{
root_subject_types: (SubA, A,)
root_rules: (Exactly(A), (Select(SubA),), noop) of SubA, (Exactly(B), (Select(A),), noop) of A, (Exactly(B), (Select(A),), noop) of SubA, SubjectIsProduct(A)
(Exactly(A), (Select(SubA),), noop) of SubA => (SubjectIsProduct(SubA),)
(Exactly(B), (Select(A),), noop) of A => (SubjectIsProduct(A),)
(Exactly(B), (Select(A),), noop) of SubA => ((Exactly(A), (Select(SubA),), noop) of SubA,)
}""").strip(),
fullgraph)示例5: test_noop_removal_full_single_subject_type
# 需要導入模塊: from pants.engine.rules import GraphMaker [as 別名]
# 或者: from pants.engine.rules.GraphMaker import full_graph [as 別名]
def test_noop_removal_full_single_subject_type(self):
intrinsics = {(B, C): BoringRule(C)}
rules = [
# C is provided by an intrinsic, but only if the subject is B.
(Exactly(A), (Select(C),), noop),
(Exactly(A), tuple(), noop),
]
graphmaker = GraphMaker(NodeBuilder.create(rules,
intrinsic_providers=(IntrinsicProvider(intrinsics),)),
root_subject_fns=_suba_root_subject_fns)
fullgraph = graphmaker.full_graph()
self.assert_equal_with_printing(dedent("""
{
root_subject_types: (SubA,)
root_rules: (Exactly(A), (), noop) of SubA
(Exactly(A), (), noop) of SubA => (,)
}""").strip(), fullgraph)示例6: test_noop_removal_full_single_subject_type
# 需要導入模塊: from pants.engine.rules import GraphMaker [as 別名]
# 或者: from pants.engine.rules.GraphMaker import full_graph [as 別名]
def test_noop_removal_full_single_subject_type(self):
rules = [
# C is provided by an intrinsic, but only if the subject is B.
(Exactly(A), (Select(C),), noop),
(Exactly(A), tuple(), noop),
]
intrinsics = [
(B, C, noop),
]
graphmaker = GraphMaker(RuleIndex.create(rules, intrinsics),
root_subject_fns=_suba_root_subject_fns)
fullgraph = graphmaker.full_graph()
self.assert_equal_with_printing(dedent("""
{
root_subject_types: (SubA,)
root_rules:
Select(A) for SubA => ((Exactly(A), (), noop) of SubA,)
all_rules:
(Exactly(A), (), noop) of SubA => (,)
}""").strip(), fullgraph)