Skip to content

Fix sampler #221

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Aug 19, 2025
Merged

Fix sampler #221

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
3cc2359
Update sampler.py
codelion Aug 19, 2025
74423f0
Update _version.py
codelion Aug 19, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion openevolve/_version.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,3 +1,3 @@
"""Version information for openevolve package."""

__version__ = "0.2.0"
__version__ = "0.2.1"
21 changes: 11 additions & 10 deletions openevolve/prompt/sampler.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,7 @@ def build_prompt(

# Format evolution history
evolution_history = self._format_evolution_history(
previous_programs, top_programs, inspirations, language
previous_programs, top_programs, inspirations, language, feature_dimensions
)

# Format artifacts section if enabled and available
Expand Down Expand Up @@ -243,6 +243,7 @@ def _format_evolution_history(
top_programs: List[Dict[str, Any]],
inspirations: List[Dict[str, Any]],
language: str,
feature_dimensions: Optional[List[str]] = None,
) -> str:
"""Format the evolution history for the prompt"""
# Get templates
Expand Down Expand Up @@ -321,8 +322,8 @@ def _format_evolution_history(
# Use the full program code
program_code = program.get("code", "")

# Calculate a composite score using safe numeric average
score = safe_numeric_average(program.get("metrics", {}))
# Calculate fitness score (prefers combined_score, excludes feature dimensions)
score = get_fitness_score(program.get("metrics", {}), feature_dimensions or [])

# Extract key features (this could be more sophisticated)
key_features = program.get("key_features", [])
Expand Down Expand Up @@ -371,8 +372,8 @@ def _format_evolution_history(
# Use the full program code
program_code = program.get("code", "")

# Calculate a composite score using safe numeric average
score = safe_numeric_average(program.get("metrics", {}))
# Calculate fitness score (prefers combined_score, excludes feature dimensions)
score = get_fitness_score(program.get("metrics", {}), feature_dimensions or [])

# Extract key features
key_features = program.get("key_features", [])
Expand Down Expand Up @@ -436,11 +437,11 @@ def _format_inspirations_section(
# Use the full program code
program_code = program.get("code", "")

# Calculate a composite score using safe numeric average
score = safe_numeric_average(program.get("metrics", {}))
# Calculate fitness score (prefers combined_score, excludes feature dimensions)
score = get_fitness_score(program.get("metrics", {}), feature_dimensions or [])

# Determine program type based on metadata and score
program_type = self._determine_program_type(program)
program_type = self._determine_program_type(program, feature_dimensions or [])

# Extract unique features (emphasizing diversity rather than just performance)
unique_features = self._extract_unique_features(program)
Expand All @@ -461,7 +462,7 @@ def _format_inspirations_section(
inspiration_programs=inspiration_programs_str.strip()
)

def _determine_program_type(self, program: Dict[str, Any]) -> str:
def _determine_program_type(self, program: Dict[str, Any], feature_dimensions: Optional[List[str]] = None) -> str:
"""
Determine the type/category of an inspiration program

Expand All @@ -472,7 +473,7 @@ def _determine_program_type(self, program: Dict[str, Any]) -> str:
String describing the program type
"""
metadata = program.get("metadata", {})
score = safe_numeric_average(program.get("metrics", {}))
score = get_fitness_score(program.get("metrics", {}), feature_dimensions or [])

# Check metadata for explicit type markers
if metadata.get("diverse", False):
Expand Down