StanfordVL/BEHAVIOR-1K

BDDL: Refactor goal state generation to support lazy evaluation with iterators

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#1,845 opened on Sep 30, 2025

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good first issue

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Description

The current implementation in bddl/bddl/condition_evaluation.py eagerly converts iterators to lists in multiple places during goal state generation, which prevents users from being able to stop generation early and causes unnecessary memory usage for large combinatorial spaces.

Contributor guide

Research direction
Implement lazy evaluation by replacing list conversions with iterators in condition evaluation.py, specifically in goal state generation functions.
Tech stack
python
Domain
backend
Issue type
Refactor
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75