def test_filtering(self):
def my_gen():
yield 1
yield None
yield 2
gen = no_none(my_gen)
assert [1, 2] == [x for x in gen()]
def test_filtering(self):
def my_gen():
yield 1
yield None
yield 2
gen = no_none(my_gen)
assert [1, 2] == [x for x in gen()]
def configure(self):
"""Configure the workflows associated with this pipeline by calling
the _configure function.
Return the global doit config dict.
Side effect: populate the task_dicts attribute with a list of
doit tasks. You'll need this to get the tasks() method to
return something other than an empty generator.
"""
default_tasks = list()
self.task_dicts = list()
self._configure = no_none(self._configure)
nested_dicts = self._configure()
flat_dicts = generator_flatten(nested_dicts)
for d in self.filter_tasks(flat_dicts):
default_tasks.append(d["name"])
self.task_dicts.append(d)
# return the global doit config dictionary
return {
"default_tasks": default_tasks,
"continue": True,
"pipeline_name": self.name
}