gavindiaz/NexQuant
1
0
Fork 0
mirror of https://github.com/NicolasBohn/NexQuant.git synced 2026-08-09 13:00:56 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix: first round app folder cleaning (#166)

Browse Source 
* first round app folder cleaning

* fix CI
This commit is contained in:
Xu Yang
2024-08-05 18:11:23 +08:00
committed by GitHub
parent 62ab84e11e
commit 987cfc723e
22 changed files with 43 additions and 335 deletions
Download Patch File Download Diff File Expand all files Collapse all files
rdagent/components/workflow/rd_loop.py
+15 -8
View File
@@ -21,18 +21,25 @@ from rdagent.utils.workflow import LoopBase, LoopMeta
class RDLoop(LoopBase, metaclass=LoopMeta):
def __init__(self, PROP_SETTING: BasePropSetting):
scen: Scenario = import_class(PROP_SETTING.scen)()
with logger.tag("init"):
scen: Scenario = import_class(PROP_SETTING.scen)()
logger.log_object(scen, tag="scenario")
self.hypothesis_gen: HypothesisGen = import_class(PROP_SETTING.hypothesis_gen)(scen)
self.hypothesis_gen: HypothesisGen = import_class(PROP_SETTING.hypothesis_gen)(scen)
logger.log_object(self.hypothesis_gen, tag="hypothesis generator")
self.hypothesis2experiment: Hypothesis2Experiment = import_class(PROP_SETTING.hypothesis2experiment)()
self.hypothesis2experiment: Hypothesis2Experiment = import_class(PROP_SETTING.hypothesis2experiment)()
logger.log_object(self.hypothesis2experiment, tag="hypothesis2experiment")
self.coder: Developer = import_class(PROP_SETTING.coder)(scen)
self.runner: Developer = import_class(PROP_SETTING.runner)(scen)
self.coder: Developer = import_class(PROP_SETTING.coder)(scen)
logger.log_object(self.coder, tag="coder")
self.runner: Developer = import_class(PROP_SETTING.runner)(scen)
logger.log_object(self.runner, tag="runner")
self.summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.summarizer)(scen)
self.trace = Trace(scen=scen)
super().__init__()
self.summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.summarizer)(scen)
logger.log_object(self.summarizer, tag="summarizer")
self.trace = Trace(scen=scen)
super().__init__()
def propose(self, prev_out: dict[str, Any]):
with logger.tag("r"): # research