Merging

.dockerignore

@@ -0,0 +1,13 @@
+.git
+.gitignore
+.claude
+.idea
+projects/thesis/results
+projects/thesis/_test_archive
+__pycache__
+**/__pycache__
+*.pyc
+*.pdf
+*.rar
+Master_Thesis__Bavshin_.pdf
+moeadd.pdf

.github/workflows/discovery.yml

@@ -28,6 +28,7 @@ jobs:
           python -m pip install --upgrade pip
           pip install -r requirements.txt
           pip install torch
+          pip install pytest-xdist pytest-split pytest-timeout
           echo "PYTHONPATH=$PYTHONPATH:$(pwd)" >> $GITHUB_ENV
 
       - name: Run discovery tests

.gitignore

@@ -130,3 +130,8 @@ dmypy.json
 .pyre/
 #cache
 /cache/*.tar
+
+# Thesis run outputs (regenerated by projects/thesis/run.py + aggregators)
+projects/thesis/results/
+projects/thesis/thesis_summary.json
+projects/thesis/thesis_ablation_summary.json

Dockerfile

@@ -0,0 +1,23 @@
+# python:3.10-slim has glibc, just enough to install the wheels.
+# numpy / scipy / sklearn / torch all ship manylinux wheels, so we
+# don't need a build toolchain at runtime.
+FROM python:3.10-slim
+
+# libgomp1 is needed by numpy/sklearn/torch for OpenMP threading.
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    libgomp1 \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /work
+
+# Install Python deps first so the layer caches across source edits.
+COPY requirements.txt /work/requirements.txt
+RUN pip install --no-cache-dir --upgrade pip \
+ && pip install --no-cache-dir -r requirements.txt
+
+# Copy the repo last so source edits don't bust the dep cache.
+COPY . /work
+
+# Default to interactive shell; the actual sweep command is supplied
+# by docker-compose via the per-service ``command:`` field.
+ENTRYPOINT ["/bin/bash", "-l"]

docker-compose.yml

@@ -0,0 +1,58 @@
+# 8 containers, one per ablation cell. All share the same image
+# and bind-mount projects/thesis/results/ so reps land on the host
+# filesystem and the aggregator can read them without entering a
+# container.
+#
+# Recommended invocation:
+#   docker compose build
+#   docker compose up -d              # runs all 8 in background
+#   docker compose logs -f cell-new   # tail one cell's output
+#   docker compose down               # stops everything
+#
+# Resource notes:
+#   - 16 host cores -> 2 threads/container is safe.
+#   - 32 host cores -> bump OMP/MKL/OPENBLAS_NUM_THREADS to 4 for
+#     ~half the wall-clock.
+#   - The runner skips finished <cell>_rep<NN>.json files on
+#     resume, so containers can be killed and relaunched freely.
+
+services:
+  cell-legacy: &cell-base
+    build: .
+    image: epde-thesis:latest
+    command: ["scripts/run_cell.sh", "legacy"]
+    volumes:
+      - ./projects/thesis/results:/work/projects/thesis/results
+    environment:
+      OMP_NUM_THREADS: "2"
+      MKL_NUM_THREADS: "2"
+      OPENBLAS_NUM_THREADS: "2"
+    restart: unless-stopped
+
+  cell-wape:
+    <<: *cell-base
+    command: ["scripts/run_cell.sh", "wape"]
+
+  cell-instab:
+    <<: *cell-base
+    command: ["scripts/run_cell.sh", "instab"]
+
+  cell-reg:
+    <<: *cell-base
+    command: ["scripts/run_cell.sh", "reg"]
+
+  cell-wape-instab:
+    <<: *cell-base
+    command: ["scripts/run_cell.sh", "wape_instab"]
+
+  cell-wape-reg:
+    <<: *cell-base
+    command: ["scripts/run_cell.sh", "wape_reg"]
+
+  cell-instab-reg:
+    <<: *cell-base
+    command: ["scripts/run_cell.sh", "instab_reg"]
+
+  cell-new:
+    <<: *cell-base
+    command: ["scripts/run_cell.sh", "new"]

epde/_loop_stats.py

@@ -0,0 +1,106 @@
+"""Lightweight retry/condition-loop instrumentation.
+
+Off by default. Set ``EPDE_LOOP_STATS=1`` to enable; ~30 source-level
+``record(...)`` call sites then accumulate per-loop stats that
+``report()`` formats as a table.
+
+Cost when disabled: a single global-var read per ``record`` call.
+Cost when enabled: a dict lookup + list append per loop exit.
+"""
+from __future__ import annotations
+
+import os
+import sys
+from collections import defaultdict
+from typing import Optional
+
+_ENABLED = os.environ.get('EPDE_LOOP_STATS', '0') == '1'
+
+
+def _new_bucket():
+    return {'entries': 0, 'iters': [], 'hit_cap': 0, 'early_exit': 0, 'caps': set()}
+
+
+_stats = defaultdict(_new_bucket)
+
+
+def enabled() -> bool:
+    return _ENABLED
+
+
+def record(site: str, iters: int, cap: int) -> None:
+    """Record one loop exit.
+
+    ``site`` is a human label like ``"EqRPS.outer"``. ``iters`` is the
+    number of iterations actually executed. ``cap`` is the loop's
+    maximum (use ``sys.maxsize`` for condition-driven loops with no
+    explicit cap).
+    """
+    if not _ENABLED:
+        return
+    b = _stats[site]
+    b['entries'] += 1
+    b['iters'].append(iters)
+    b['caps'].add(cap)
+    if iters >= cap:
+        b['hit_cap'] += 1
+    elif iters <= 1:
+        b['early_exit'] += 1
+
+
+def reset() -> None:
+    _stats.clear()
+
+
+def _stats_for(name: str) -> dict:
+    b = _stats[name]
+    n = b['entries']
+    iters = b['iters']
+    if n == 0:
+        return {'entries': 0}
+    iters_sorted = sorted(iters)
+    median = iters_sorted[n // 2]
+    return {
+        'entries': n,
+        'mean': sum(iters) / n,
+        'median': median,
+        'max': max(iters),
+        'p95': iters_sorted[min(n - 1, int(n * 0.95))],
+        'total_iters': sum(iters),
+        'hit_cap_pct': 100.0 * b['hit_cap'] / n,
+        'early_exit_pct': 100.0 * b['early_exit'] / n,
+        'cap': max(b['caps']) if b['caps'] else 0,
+    }
+
+
+def report(path: Optional[str] = None) -> str:
+    """Format all recorded loops as a table, sorted by total iterations.
+
+    Writes to ``path`` if given AND also returns the string.
+    """
+    sites = sorted(_stats.keys(),
+                   key=lambda s: -sum(_stats[s]['iters']) if _stats[s]['iters'] else 0)
+    lines = []
+    header = (f"{'site':<45} {'entries':>8} {'mean':>7} {'med':>5} "
+              f"{'p95':>5} {'max':>5} {'cap':>6} {'%cap':>6} "
+              f"{'%early':>7} {'totIters':>10}")
+    lines.append(header)
+    lines.append('-' * len(header))
+    if not _ENABLED:
+        lines.append('(EPDE_LOOP_STATS disabled -- set EPDE_LOOP_STATS=1 to record)')
+    for site in sites:
+        s = _stats_for(site)
+        if s['entries'] == 0:
+            continue
+        cap_str = 'inf' if s['cap'] >= sys.maxsize else str(s['cap'])
+        lines.append(
+            f"{site:<45} {s['entries']:>8d} {s['mean']:>7.2f} "
+            f"{s['median']:>5d} {s['p95']:>5d} {s['max']:>5d} "
+            f"{cap_str:>6} {s['hit_cap_pct']:>5.1f}% "
+            f"{s['early_exit_pct']:>6.1f}% {s['total_iters']:>10d}"
+        )
+    text = '\n'.join(lines)
+    if path is not None:
+        with open(path, 'w') as f:
+            f.write(text + '\n')
+    return text

epde/eq_mo_objectives.py

@@ -60,49 +60,40 @@ def equation_complexity_by_terms(system, equation_key):
     return np.count_nonzero(system.vals[equation_key].weights_internal)
 
 
-def equation_complexity_by_factors(system, equation_key):
-    '''
-    Evaluate the complexity of the system of PDEs, evaluating a number of factors in terms for each
-    equation. In the evaluation, we consider only terms with non-zero weights and target, while
-    the free coefficient is not included in the final metric. Also, the real-valued factors are
-    not considered in the result.
-
-    Parameters:
-    -----------
-        system - ``epde.structure.main_structures.SoEq`` object
-        The system, that is to be evaluated.
-
-    Returns:
-    ----------
-        discrepancy : list of integers.
-        The values of the error metric: list entry for each of the equations.
-    '''
-    # eq_compl = 0
-
-    # for idx, term in enumerate(system.vals[equation_key].structure):
-    #     if idx < system.vals[equation_key].target_idx:
-    #         if not system.vals[equation_key].weights_final[idx] == 0:
-    #             eq_compl += len(term.structure)
-    #     elif idx > system.vals[equation_key].target_idx:
-    #         if not system.vals[equation_key].weights_final[idx-1] == 0:
-    #             eq_compl += len(term.structure)
-    #     else:
-    #         eq_compl += len(term.structure)
-    # return eq_compl
+def _complexity_single_eq(system, equation_key):
+    # Index by ``weights_internal`` (always length ``len(structure)-1``,
+    # one entry per non-target term in structure order) rather than
+    # ``weights_final`` (zero-filtered to ``nnz+1`` by ``LASSOSparsity``
+    # and ``VWSRSparsity``): structure-position indexing breaks against
+    # ``weights_final`` whenever the sparsity step zeros more than one
+    # weight.
+    equation = system.vals[equation_key]
     eq_compl = 0
-
-    for idx, term in enumerate(system.vals[equation_key].structure):
-        if idx < system.vals[equation_key].target_idx:
-            if not system.vals[equation_key].weights_final[idx] == 0:
+    for idx, term in enumerate(equation.structure):
+        if idx < equation.target_idx:
+            if not equation.weights_internal[idx] == 0:
                 eq_compl += complexity_deriv(term.structure)
-        elif idx > system.vals[equation_key].target_idx:
-            if not system.vals[equation_key].weights_final[idx-1] == 0:
+        elif idx > equation.target_idx:
+            if not equation.weights_internal[idx-1] == 0:
                 eq_compl += complexity_deriv(term.structure)
         else:
             eq_compl += complexity_deriv(term.structure)
     return eq_compl
 
 
+def equation_complexity_by_factors(system, equation_key=None):
+    '''
+    Evaluate the complexity of the system of PDEs as a number of factors in
+    non-zero terms for each equation, excluding the free coefficient and
+    real-valued factors. When ``equation_key`` is None, returns a per-equation
+    tuple matching the ``system.vars_to_describe`` order; otherwise the scalar
+    complexity for the named equation.
+    '''
+    if equation_key is None:
+        return tuple(_complexity_single_eq(system, k) for k in system.vars_to_describe)
+    return _complexity_single_eq(system, equation_key)
+
+
 def equation_terms_stability(system, equation_key = None):
     if equation_key:
         assert system.vals[equation_key].stability_calculated