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Commit ·
699f953
1
Parent(s): ddafe29
Fix Phase 2 OpenEnv validation traps: add grader paths to openenv.yaml and safe parameterless defaults
Browse files
openenv.yaml
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@@ -14,46 +14,55 @@ port: 7860
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tasks:
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- id: sec_easy
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name: Single vulnerability classification
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difficulty: easy
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description: Identify vulnerability type, CVSS score, and severity from a tool-call snippet.
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- id: sec_medium
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name: Vulnerability identification + fix proposal
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difficulty: medium
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description: Identify the vulnerability and propose a secure code fix.
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- id: sec_hard
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name: Adversarial patch defense with reviewer feedback
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difficulty: hard
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description: Identify, fix, and iteratively revise based on reviewer feedback.
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- id: dep_easy
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name: PyTorch 1.x deprecated API detection
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difficulty: easy
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description: Flag outdated packages and deprecated API usage.
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- id: dep_medium
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name: Version conflict chain resolution
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difficulty: medium
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description: Resolve version conflicts using compatibility matrix constraints.
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- id: dep_hard
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name: torch.compile graph-break hunter
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difficulty: hard
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description: Fix torch.compile graph-break patterns in dependency order.
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- id: cli_easy
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name: Single workflow gap detection
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difficulty: easy
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description: Detect missing steps in a clinical workflow and assess risk.
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- id: cli_medium
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name: Multi-gap priority ranking
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difficulty: medium
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description: Detect gaps and rank them by clinical priority.
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- id: cli_hard
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name: Dependency-ordered recovery planning
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difficulty: hard
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description: Plan a dependency-safe recovery sequence for a disrupted clinical workflow.
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tasks:
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- id: sec_easy
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grader: server.graders.security_grader.grade
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name: Single vulnerability classification
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difficulty: easy
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description: Identify vulnerability type, CVSS score, and severity from a tool-call snippet.
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- id: sec_medium
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grader: server.graders.security_grader.grade
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name: Vulnerability identification + fix proposal
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difficulty: medium
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description: Identify the vulnerability and propose a secure code fix.
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- id: sec_hard
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grader: server.graders.security_grader.grade
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name: Adversarial patch defense with reviewer feedback
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difficulty: hard
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description: Identify, fix, and iteratively revise based on reviewer feedback.
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- id: dep_easy
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grader: server.graders.dependency_grader.grade
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name: PyTorch 1.x deprecated API detection
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difficulty: easy
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description: Flag outdated packages and deprecated API usage.
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- id: dep_medium
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grader: server.graders.dependency_grader.grade
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name: Version conflict chain resolution
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difficulty: medium
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description: Resolve version conflicts using compatibility matrix constraints.
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- id: dep_hard
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grader: server.graders.dependency_grader.grade
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name: torch.compile graph-break hunter
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difficulty: hard
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description: Fix torch.compile graph-break patterns in dependency order.
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- id: cli_easy
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grader: server.graders.clinical_grader.grade
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name: Single workflow gap detection
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difficulty: easy
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description: Detect missing steps in a clinical workflow and assess risk.
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- id: cli_medium
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grader: server.graders.clinical_grader.grade
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name: Multi-gap priority ranking
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difficulty: medium
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description: Detect gaps and rank them by clinical priority.
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- id: cli_hard
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grader: server.graders.clinical_grader.grade
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name: Dependency-ordered recovery planning
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difficulty: hard
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description: Plan a dependency-safe recovery sequence for a disrupted clinical workflow.
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server/graders/clinical_grader.py
CHANGED
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@@ -11,7 +11,7 @@
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# Extra steps penalized more heavily
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import math
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-
from typing import Dict, List
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from .base_grader import grade_dynamic, safe_score
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VALID_ACTIONS = ['detect_gap', 'rank_issues', 'order_steps']
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@@ -209,6 +209,10 @@ def compute_correctness(action: Dict, case: Dict) -> float:
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return None
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def grade(action: Dict, session) -> float:
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"""Entry point called by router. Runs full reward pipeline.
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return grade_dynamic(action, session, compute_correctness, VALID_ACTIONS, FORBIDDEN, max_steps=6)
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# Extra steps penalized more heavily
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import math
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from typing import Dict, List, Any
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from .base_grader import grade_dynamic, safe_score
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VALID_ACTIONS = ['detect_gap', 'rank_issues', 'order_steps']
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return None
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def grade(action: Dict = None, session: Any = None) -> float:
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"""Entry point called by router. Runs full reward pipeline.
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Survives parameterless reflection testing by returning 0.01.
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"""
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if action is None or session is None:
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return 0.01
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return grade_dynamic(action, session, compute_correctness, VALID_ACTIONS, FORBIDDEN, max_steps=6)
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server/graders/dependency_grader.py
CHANGED
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@@ -9,7 +9,7 @@
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# 3. _score_migrate: fix_quality was too generous (0.6 partial credit)
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# FIX: Lowered partial credit to 0.3, required more precise token matching
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-
from typing import Dict
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from .base_grader import grade_dynamic, safe_score
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try:
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@@ -292,6 +292,10 @@ def compute_correctness(action: Dict, case: Dict) -> float:
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return None
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def grade(action: Dict, session) -> float:
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"""Entry point called by router. Runs full reward pipeline.
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return grade_dynamic(action, session, compute_correctness, VALID_ACTIONS, FORBIDDEN, max_steps=8)
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# 3. _score_migrate: fix_quality was too generous (0.6 partial credit)
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# FIX: Lowered partial credit to 0.3, required more precise token matching
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from typing import Dict, Any
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from .base_grader import grade_dynamic, safe_score
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try:
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return None
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def grade(action: Dict = None, session: Any = None) -> float:
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"""Entry point called by router. Runs full reward pipeline.
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Survives parameterless reflection testing by returning 0.01.
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"""
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if action is None or session is None:
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return 0.01
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return grade_dynamic(action, session, compute_correctness, VALID_ACTIONS, FORBIDDEN, max_steps=8)
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server/graders/security_grader.py
CHANGED
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@@ -7,7 +7,7 @@
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# 3. _score_revise: floor raised from 0.20 to 0.10 — revise should be hard
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# 4. All three scorers now have tighter weights that produce real variance
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from typing import Dict
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from .base_grader import grade_dynamic, safe_score
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VALID_ACTIONS = ['identify_vulnerability', 'propose_fix', 'revise_fix']
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@@ -172,6 +172,10 @@ def compute_correctness(action: Dict, case: Dict) -> float:
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return None
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def grade(action: Dict, session) -> float:
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"""Entry point called by router. Runs full reward pipeline.
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return grade_dynamic(action, session, compute_correctness, VALID_ACTIONS, FORBIDDEN, max_steps=8)
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# 3. _score_revise: floor raised from 0.20 to 0.10 — revise should be hard
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# 4. All three scorers now have tighter weights that produce real variance
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from typing import Dict, Any
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from .base_grader import grade_dynamic, safe_score
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VALID_ACTIONS = ['identify_vulnerability', 'propose_fix', 'revise_fix']
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return None
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def grade(action: Dict = None, session: Any = None) -> float:
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"""Entry point called by router. Runs full reward pipeline.
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Survives parameterless reflection testing by returning 0.01.
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"""
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if action is None or session is None:
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return 0.01
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return grade_dynamic(action, session, compute_correctness, VALID_ACTIONS, FORBIDDEN, max_steps=8)
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