mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-27 23:47:46 +00:00
Xu Yang
6b626eb56d
* Commit init framework * Co-authored-by: Yuante Li (FESCO Adecco Human Resources) <v-yuanteli@microsoft.com> Co-authored-by: XianBW <XianBW@users.noreply.github.com> * add an import * refine the whole framework * benchmark related framework * fix black and isort errors * move requirements to folder * fix black again --------- Co-authored-by: Young <afe.young@gmail.com> Co-authored-by: xuyang1 <xuyang1@microsoft.com>
96 lines
1.9 KiB
Python
96 lines
1.9 KiB
Python
"""
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"""
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from typing import Tuple
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from rdagent.core.task import BaseTask, TaskLoader
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# class data_ana: XXX
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class Belief:
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"""
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TODO: We may have better name for it.
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Name Candidates:
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- Hypothesis
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"""
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# source: data_ana | model_nan = None
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# Origin(path of repo/data/feedback) => view/summarization => generated Belief
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class Scenario:
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def get_repo_path(self):
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"""codebase"""
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def get_data(self):
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""" "data info"""
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def get_env(self):
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"""env description"""
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class Trace:
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scen: Scenario
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hist: list[Tuple[Belief, Feedback]]
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class BeliefGen:
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def __init__(self, scen: Scenario):
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self.scen = scen
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def gen(self, trace: Trace) -> Belief:
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# def gen(self, scenario_desc: str, ) -> Belief:
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"""
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Motivation of the variable `scenario_desc`:
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- Mocking a data-scientist is observing the scenario.
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scenario_desc may conclude:
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- data observation:
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- Original or derivative
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- Task information:
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"""
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class BeliefSet:
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"""
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# drop, append
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belief_imp: list[float] | None # importance of each belief
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failed_belief or success belief
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"""
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belief_l: list[Belief]
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feedbacks: Dict[Tuple[Belief, Scenario], BeliefFeedback]
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class Belief2Task(TaskLoader):
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"""
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[Abstract description => conceret description] => Code implement
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"""
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def convert(self, bs: BeliefSet) -> BaseTask:
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"""Connect the idea proposal to implementation"""
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...
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class BeliefFeedback:
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...
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# Boolean, Reason, Confidence, etc.
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class Imp2Feedback:
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""" "Generated(summarize) feedback from **Executed** Implemenation"""
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def summarize(self, ti: TaskImplementation) -> BeliefFeedback:
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"""
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The `ti` should be exectued 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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