Deborah.DeborahEsther

module DeborahEsther

Deborah.DeborahEsther — Integrated Deborah.DeborahCore → Deborah.Esther workflow manager.

The Deborah.DeborahEsther module provides the bridge layer between Deborah.DeborahCore (machine-learning-based bias-corrected trace estimation) and Deborah.Esther (cumulant analysis in the single ensemble). It ensures that all required trace observables $\text{Tr} \, M^{-n} \; (n=1,2,3,4)$ are present, regenerating them with Deborah.DeborahCore if necessary, and then executes the Deborah.Esther stage.

Scope & Responsibilities

• Dependency management:
  • EstherDependencyManager.ensure_TrM_exists Verifies presence of $\text{Tr} \, M^{-n} \; (n=1,2,3,4)$ files and auto-invokes Deborah.DeborahCore if missing.
  • EstherDependencyManager.run_Deborah_from_Esther Builds a temporary TOML config and launches Deborah.DeborahCore on demand.
• Pipeline orchestration:
  • DeborahEstherRunner.run_Deborah_Esther Entry point for full Deborah.DeborahCore → Deborah.Esther runs, given a TOML config.
• Configuration support:
  • EstherDependencyManager.generate_toml_dict Constructs a TOML-compatible config dictionary for Deborah.DeborahCore invocation.

Typical Workflow

1. User supplies a config_Esther.toml including ensemble, features, and models.
2. EstherDependencyManager.ensure_TrM_exists checks whether outputs like Y_info, Y_bc, YP_bc exist.
3. If missing, EstherDependencyManager.run_Deborah_from_Esther creates and executes a matching Deborah.DeborahCore config.
4. Once all $\text{Tr} \, M^{-n} \; (n=1,2,3,4)$ are ready, DeborahEstherRunner.run_Deborah_Esther launches the Deborah.Esther computation.

Minimal Usage

julia> using Deborah
julia> run_Deborah_Esther("config_Esther.toml")

Notes

• Deborah.DeborahCore outputs are stored under ensemble/analysis sub-folders with consistent naming via Deborah.Sarah.NameParser.
• Supports abbreviation dictionaries for compact path encodings.
• Bootstrap/jackknife parameters (N_bs, blk_size, method, bin_size) are propagated from Deborah.Esther configs into the temporary Deborah.DeborahCore configs.

See Also

• Deborah.DeborahCore — trace estimation with ML/bias correction.
• Deborah.Esther — cumulant and transition-point analysis.