本文整理汇总了Python中openmdao.util.dep.PythonSourceTreeAnalyser.flush_cache方法的典型用法代码示例。如果您正苦于以下问题：Python PythonSourceTreeAnalyser.flush_cache方法的具体用法？Python PythonSourceTreeAnalyser.flush_cache怎么用？Python PythonSourceTreeAnalyser.flush_cache使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类openmdao.util.dep.PythonSourceTreeAnalyser的用法示例。
在下文中一共展示了PythonSourceTreeAnalyser.flush_cache方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: PkgResourcesFactory
# 需要导入模块: from openmdao.util.dep import PythonSourceTreeAnalyser [as 别名]
# 或者: from openmdao.util.dep.PythonSourceTreeAnalyser import flush_cache [as 别名]
class PkgResourcesFactory(Factory):
"""A Factory that loads plugins using the pkg_resources API, which means
it searches through egg info of distributions in order to find any entry
point groups corresponding to openmdao plugin types, e.g.,
openmdao.component, openmdao.variable, etc.
"""
def __init__(self, groups=plugin_groups.keys(), search_path=None):
super(PkgResourcesFactory, self).__init__()
self._have_new_types = True
self._groups = copy.copy(groups)
self._search_path = search_path
self.env = Environment(search_path)
self.tree_analyser = PythonSourceTreeAnalyser()
def create(self, typ, version=None, server=None,
res_desc=None, **ctor_args):
"""Create and return an object of the given type, with
optional name, version, server id, and resource description.
"""
if server is not None or res_desc is not None:
return None
klass = self._load(typ, version)
if klass is None:
return None
else:
return klass(**ctor_args)
def _load(self, typ, version):
"""Return class for *typ* and *version*."""
classes = self._get_type_dict()
try:
lst = classes[typ]
dist = lst[0]
groups = lst[1]
klass = dist.load_entry_point(groups[0], typ)
if version is not None and dist.version != version:
return None
return klass
except KeyError:
if self._search_path is None:
return None
# try to look in the whole environment
for group in self._groups:
for proj in self.env:
for dist in self.env[proj]:
if version is not None and version != dist.version:
continue
ep = dist.get_entry_info(group, typ)
if ep is not None:
dist.activate()
klass = ep.load(require=True, env=self.env)
self._have_new_types = True
return klass
if version is None:
# newest version didn't have entry point, so skip to next project
break
return None
def _entry_map_info(self, distiter):
dct = {}
for group in plugin_groups.keys():
for dist in distiter:
for name, value in dist.get_entry_map(group).items():
lst = dct.setdefault(name, (dist, [], set()))
lst[1].append(group)
lst[2].add(value.module_name)
return dct
def _get_type_dict(self):
if self._have_new_types:
self._entry_pt_classes = self._entry_map_info(working_set)
return self._entry_pt_classes
def _get_meta_info(self, typ_list, groups, typ_dict):
distset = set()
for name, lst in typ_dict.items():
dist = lst[0]
modules = lst[2]
distset.add(dist.project_name)
ifaces = set()
for g in lst[1]:
ifaces.update(plugin_groups[g])
meta = {
'version': dist.version,
'ifaces': set(ifaces),
}
for modname in modules:
fpath = find_module(modname)
if fpath is not None:
fanalyzer = self.tree_analyser.analyze_file(fpath, use_cache=True)
meta['bases'] = fanalyzer.classes[name].bases
meta['ifaces'].update(fanalyzer.classes[name].meta['ifaces'])
meta['ifaces'] = list(meta['ifaces'])
if groups.intersection(lst[1]):
typ_list.append((name, meta))
self.tree_analyser.flush_cache()
#.........这里部分代码省略.........