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First version of factor idea proposal (#46)
* update all code * save code * update first version of factor proposal * change a comment * remove a useless comment --------- Co-authored-by: xuyang1 <xuyang1@microsoft.com>
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@@ -119,7 +119,7 @@ class Experiment(ABC, Generic[ASpecificTask, ASpecificImp]):
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The experiment is a sequence of tasks and the implementations of the tasks after generated by the TaskGenerator.
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"""
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def __init__(self, sub_tasks: Sequence[Task]) -> None:
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def __init__(self, sub_tasks: Sequence[ASpecificTask]) -> None:
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self.sub_tasks = sub_tasks
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self.sub_implementations: Sequence[ASpecificImp] = [None for _ in self.sub_tasks]
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+42
-17
@@ -2,7 +2,8 @@
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"""
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from typing import Dict, List, Tuple
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from abc import ABC, abstractmethod
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from typing import Dict, Generic, List, Tuple, TypeVar
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from rdagent.core.evolving_framework import Feedback
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from rdagent.core.experiment import Experiment, Implementation, Loader, Task
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@@ -18,8 +19,9 @@ class Hypothesis:
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- Belief
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"""
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hypothesis: str = None
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reason: str = None
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def __init__(self, hypothesis: str, reason: str) -> None:
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self.hypothesis: str = hypothesis
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self.reason: str = reason
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# source: data_ana | model_nan = None
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@@ -27,16 +29,29 @@ class Hypothesis:
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# Origin(path of repo/data/feedback) => view/summarization => generated Hypothesis
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class Scenario:
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def get_repo_path(self):
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"""codebase"""
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class Scenario(ABC):
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def get_data(self):
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""" "data info"""
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@property
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@abstractmethod
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def background(self):
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"""Background information"""
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def get_env(self):
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"""env description"""
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@property
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@abstractmethod
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def source_data(self):
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"""Source data description"""
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@property
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@abstractmethod
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def interface(self):
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"""Interface description about how to run the code"""
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@property
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@abstractmethod
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def simulator(self):
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"""Simulator description"""
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@abstractmethod
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def get_scenario_all_desc(self) -> str:
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"""Combine all the description together"""
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@@ -44,9 +59,13 @@ class Scenario:
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class HypothesisFeedback(Feedback): ...
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class Trace:
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scen: Scenario
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hist: list[Tuple[Hypothesis, Experiment, HypothesisFeedback]]
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ASpecificScen = TypeVar("ASpecificScen", bound=Scenario)
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class Trace(Generic[ASpecificScen]):
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def __init__(self, scen: ASpecificScen) -> None:
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self.scen: ASpecificScen = scen
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self.hist: list[Tuple[Hypothesis, Experiment, HypothesisFeedback]] = []
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class HypothesisGen:
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@@ -74,16 +93,21 @@ class HypothesisSet:
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true_hypothesis or false_hypothesis
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"""
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hypothesis_list: list[Hypothesis]
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trace: Trace
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def __init__(self, trace: Trace, hypothesis_list: list[Hypothesis] = []) -> None:
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self.hypothesis_list: list[Hypothesis] = hypothesis_list
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self.trace: Trace = trace
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class Hypothesis2Experiment(Loader[Experiment]):
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ASpecificExp = TypeVar("ASpecificExp", bound=Experiment)
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class Hypothesis2Experiment(ABC, Generic[ASpecificExp]):
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"""
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[Abstract description => concrete description] => Code implement
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"""
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def convert(self, bs: HypothesisSet) -> Experiment:
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@abstractmethod
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def convert(self, hs: HypothesisSet) -> ASpecificExp:
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"""Connect the idea proposal to implementation"""
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...
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@@ -99,3 +123,4 @@ class Experiment2Feedback:
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The `ti` should be executed and the results should be included.
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For example: `mlflow` of Qlib will be included.
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"""
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return HypothesisFeedback()
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