group_assets#

class GroupResultsAssets(results_folder: Path)[source]#

Bases: object

Single source of truth for paths of group-level result assets.

Mirrors Workspace2 for single samples — the orchestrator asks this object for paths; it never builds paths itself.

avg_density_path(channel: str, group_name: str, suffix: str = '') → Path[source]#

effect_size_path(channel: str, gp1: str, gp2: str, suffix: str = '') → Path[source]#

load_p_val_results(channel: str, gp1: str, gp2: str, suffix: str = '') → LoadedPValueResults[source]#

p_val_assets_exist(channel: str, gp1: str, gp2: str, suffix: str = '') → bool[source]#

p_val_colors_path(channel: str, gp1: str, gp2: str, suffix: str = '') → Path[source]#

sd_density_path(channel: str, group_name: str, suffix: str = '') → Path[source]#

stacked_density_path(channel: str, group_name: str, suffix: str = '') → Path[source]#

stats_table_path(channel: str, gp1: str, gp2: str, suffix: str = '') → Path[source]#

write_avg_density(array: ndarray, channel: str, group_name: str, suffix: str = '') → None[source]#

write_effect_size(array: ndarray, channel: str, gp1: str, gp2: str, suffix: str = '') → None[source]#

write_p_val_colors(array: ndarray, channel: str, gp1: str, gp2: str, suffix: str = '') → None[source]#

write_sd_density(array: ndarray, channel: str, group_name: str, suffix: str = '') → None[source]#

write_stats_table(df: DataFrame, channel: str, gp1: str, gp2: str, suffix: str = '') → None[source]#

class PairKey(channel: str, gp1: str, gp2: str, suffix: str = '')[source]#

Bases: object

channel: str#

gp1: str#

gp2: str#

suffix: str = ''#