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fix(integrators/fde): CaputoEuler.reset state desync + set_default_fdeint (#846)
fix(integrators/fde): CaputoEuler.reset state desync; honor set_default_fdeint - CaputoEuler.reset replaced its f_states Variables with plain Arrays, causing state desync and wrong results after reset under IntegratorRunner; store f_states in a bm.VarDict so reset does in-place .value updates (High) - fdeint(method='l1') literal default made set_default_fdeint a no-op for default-method calls; default to method=None so the fallback runs (Medium) Findings recorded in docs/issues-found-20260619-integrators-fde-pde.md
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Lines changed: 186 additions & 5 deletions

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brainpy/integrators/fde/Caputo.py

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Original file line numberDiff line numberDiff line change
@@ -157,9 +157,8 @@ def __init__(
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self.coef = bm.flip(coef, axis=0)
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# variable states
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self.f_states = {v: bm.Variable(bm.zeros((num_memory,) + self.inits[v].shape))
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for v in self.variables}
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self.register_implicit_vars(self.f_states)
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self.f_states = bm.VarDict({v: bm.Variable(bm.zeros((num_memory,) + self.inits[v].shape))
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for v in self.variables})
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self.idx = bm.Variable(bm.asarray([1]))
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self.set_integral(self._integral_func)
@@ -171,6 +170,8 @@ def reset(self, inits):
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for key, val in inits.items():
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self.inits[key] = val
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self.f_states[key] = bm.zeros((self.num_memory,) + val.shape, dtype=self.f_states[key].dtype)
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# NOTE: ``self.f_states`` is a ``bm.VarDict``, so the assignment above performs an
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# in-place ``.value`` update and preserves the registered ``Variable`` identity.
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def _check_step(self, args):
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dt, t = args

brainpy/integrators/fde/Caputo_test.py

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import numpy as np
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import brainpy as bp
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import brainpy.math as bm
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def _scalar(x):
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return float(np.asarray(bm.as_numpy(x)).reshape(-1)[0])
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class TestCaputoEulerReset(unittest.TestCase):
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def test_reset_preserves_variable(self):
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"""``reset`` must keep the memory buffer a ``bm.Variable`` (P7-H1)."""
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intg = bp.fde.CaputoEuler(lambda y, t: -y, alpha=0.8, num_memory=20, inits=[1.])
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self.assertIsInstance(intg.f_states['y'], bm.Variable)
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intg.reset([2.])
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self.assertIsInstance(intg.f_states['y'], bm.Variable)
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def test_reset_then_run_matches_fresh(self):
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"""A reset+run must reproduce a fresh-integrator run (P7-H1).
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Before the fix, ``reset`` orphaned the registered ``Variable`` so the
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``IntegratorRunner`` snapshotted a stale buffer and produced wrong values.
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"""
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bm.enable_x64()
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try:
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def f(y, t):
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return -y
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# fresh reference run
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fresh = bp.fde.CaputoEuler(f, alpha=0.8, num_memory=100, inits=[1.])
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runner_fresh = bp.IntegratorRunner(fresh, monitors=['y'], dt=0.05, inits=[1.])
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runner_fresh.run(1.0)
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ref = _scalar(runner_fresh.mon.y[-1])
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# reset then run
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intg = bp.fde.CaputoEuler(f, alpha=0.8, num_memory=100, inits=[1.])
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intg.reset([1.])
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runner = bp.IntegratorRunner(intg, monitors=['y'], dt=0.05, inits=[1.])
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runner.run(1.0)
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got = _scalar(runner.mon.y[-1])
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self.assertTrue(np.allclose(ref, got, atol=1e-10),
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msg=f'reset run {got} != fresh run {ref}')
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finally:
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bm.disable_x64()
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class TestFdeintDefaultMethod(unittest.TestCase):
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def test_set_default_fdeint_respected(self):
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"""``fdeint`` must honor ``set_default_fdeint`` when method is omitted (P7-M1)."""
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from brainpy.integrators.fde.generic import (
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fdeint, set_default_fdeint, get_default_fdeint
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)
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original = get_default_fdeint()
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try:
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set_default_fdeint('euler')
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intg = fdeint(alpha=0.8, num_memory=20, inits=[1.], f=lambda y, t: -y)
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self.assertIsInstance(intg, bp.fde.CaputoEuler)
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set_default_fdeint('l1')
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intg2 = fdeint(alpha=0.8, num_memory=20, inits=[1.], f=lambda y, t: -y)
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self.assertIsInstance(intg2, bp.fde.CaputoL1Schema)
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finally:
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set_default_fdeint(original)
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class TestCaputoL1(unittest.TestCase):

brainpy/integrators/fde/generic.py

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@@ -32,8 +32,8 @@ def fdeint(
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num_memory,
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inits,
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f=None,
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method='l1',
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dt: str = None,
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method=None,
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dt: float = None,
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name: str = None
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):
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"""Numerical integration for FDEs.
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# Issues found — FDE/PDE integrators (2026-06-19)
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Reviewer: senior numerical-methods + JAX expert (fractional differential equations).
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Scope: `brainpy/integrators/fde/{Caputo,GL,base,generic}.py`, `brainpy/integrators/pde/base.py`.
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Environment: brainpy 2.7.8, jax 0.10.2, scipy (CPU).
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Core numerics were validated head-to-head against independent reference implementations
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(rectangle product-integration Caputo–Euler [Li & Zeng 2013], L1 scheme, and the
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Grünwald–Letnikov short-memory recurrence), single- and multi-variable, with distinct
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per-variable `alpha`, both inside and beyond the memory window. **All three solvers match
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their analytic/reference recurrences to machine precision** — the previously-reported
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numerical bugs (initial-condition mis-scaling, coefficient order, memory truncation) are
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**not present** in this worktree (see "Already fixed" section).
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---
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### P7-H1 — `CaputoEuler.reset` replaces memory `Variable`s with plain `Array`s (state desync) [High]
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- File: brainpy/integrators/fde/Caputo.py:173 (and 172 is fine)
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- Category: correctness / JAX-semantics
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- What: `reset()` does `self.f_states[key] = bm.zeros(...)`. `self.f_states` is a plain
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Python `dict` (created at `__init__`, line 160), not a `bm.VarDict`, so this assignment
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*replaces* the registered `bm.Variable` with a bare `bm.Array`. The `bm.Variable`
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originally registered via `register_implicit_vars(self.f_states)` is now orphaned: it is
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still returned by `self.vars()` (stale), while `_integral_func` writes the memory buffer
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into the *new* `Array` object.
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- Why it's a bug: any JAX-transformed re-run after `reset` (the documented way to re-run
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from new initial values, e.g. via `IntegratorRunner`) snapshots/restores the **stale**
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`Variable` from `self.vars()` while the integral function reads/writes the **new** `Array`,
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so the convolution memory is desynced and results are silently wrong. (`CaputoL1Schema`
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and `GLShortMemory` are immune — they store their memory in `bm.VarDict`, whose
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`__setitem__` does in-place `.value` assignment.)
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- Repro:
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```python
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import brainpy as bp, brainpy.math as bm, numpy as np
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bm.enable_x64()
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intg = bp.fde.CaputoEuler(lambda y, t: -y, alpha=0.8, num_memory=100, inits=[1.])
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intg.reset([1.])
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assert isinstance(intg.f_states['y'], bm.Variable) # FAILS: it is a bm.Array
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runner = bp.IntegratorRunner(intg, monitors=['y'], dt=0.05, inits=[1.])
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runner.run(1.0)
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# last y == 0.911 (wrong); a fresh integrator (no reset) gives 0.380 (correct)
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```
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- Fix: store `f_states` in a `bm.VarDict` and reset via in-place `.value` assignment so the
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registered `Variable` identity is preserved.
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- Tests: `Caputo_test.py::TestCaputoEulerReset::test_reset_preserves_variable`,
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`::test_reset_then_run_matches_fresh`
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- Status: fixed
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---
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### P7-M1 — `fdeint(method=...)` default makes `set_default_fdeint` a no-op [Medium]
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- File: brainpy/integrators/fde/generic.py:35 (default), used at :63
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- Category: api-drift / correctness
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- What: `fdeint(..., method='l1', ...)` has the *literal* default `'l1'`. The body then does
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`method = _DEFAULT_FDE_METHOD if method is None else method`, but `method` is never `None`
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when the caller omits it, so the `_DEFAULT_FDE_METHOD` global (settable via
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`set_default_fdeint`) is ignored for default-method calls.
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- Why it's a bug: `set_default_fdeint('euler')` followed by `fdeint(...)` still builds a
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`CaputoL1Schema`, contradicting the documented purpose of `set_default_fdeint` /
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`get_default_fdeint`. The public default-method mechanism is dead for the common path.
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- Repro:
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```python
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from brainpy.integrators.fde.generic import fdeint, set_default_fdeint
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set_default_fdeint('euler')
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type(fdeint(alpha=0.8, num_memory=20, inits=[1.], f=lambda y, t: -y)).__name__
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# 'CaputoL1Schema' (expected 'CaputoEuler')
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```
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- Fix: change the keyword default to `method=None` so the `_DEFAULT_FDE_METHOD` fallback
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actually runs.
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- Tests: `generic`-level test in `Caputo_test.py::TestFdeintDefaultMethod::test_set_default_fdeint_respected`
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- Status: fixed
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---
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## Already fixed in this worktree (verified, recorded only)
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These were reported against an earlier revision (`dev/issues-found-20260618.md`, FDE block)
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and are **already corrected** in the code under review. Re-verified here; no further action.
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- **C-08 / `CaputoEuler` initial-condition scaling**`Caputo.py:211` now reads
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`self.inits[key] + integral * (dt**alpha/alpha)` with `integral = coef @ f_states`, i.e.
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`y0` is added *outside* the `dt^alpha/alpha` scaling. Verified `D^a y=0, y0=1 → y≡1` and a
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full `f=y, y0=2` reference run match to 1e-15. Status: recorded-only (no change needed).
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- **H-30 / `GLShortMemory.reset` KeyError**`GL.py:187` uses `key + '_delay'`. `reset` runs
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cleanly. Status: recorded-only.
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- **H-31 / `CaputoL1Schema.hists()` ValueError**`Caputo.py:384` uses `.items()`. `hists()`
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returns a dict cleanly. Status: recorded-only.
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- **H-32 / `set_default_fdeint` wrong global**`generic.py:87-88` assigns
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`_DEFAULT_FDE_METHOD`. `get_default_fdeint()` reflects the set value. Status: recorded-only.
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(But see P7-M1: the value is then ignored by `fdeint`'s literal default.)
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---
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## Low (recorded only — not fixed per task policy)
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- **P7-L1**`Caputo.py:192` type-checks `isinstance(devs, (bm.ndarray, jax.Array))` while
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`GL.py`/`CaputoL1Schema` use `bm.Array`. `bm.ndarray is bm.Array`, so this is cosmetic
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inconsistency only. Category: style.
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- **P7-L2**`generic.py:36` annotates `dt: str = None` in `fdeint`; should be
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`dt: float = None`. Category: style/typing.
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- **P7-L3** — Docstrings of `CaputoL1Schema`/`GLShortMemory` say "fractional order in (0, 1)"
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in the `UnsupportedError` message, but both classes (correctly) accept `alpha == 1`.
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The class-level `Parameters` docstrings say `(0., 1.]`. Message/docstring drift only.
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Category: style/docs.
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- **P7-L4** — Pervasive `Parameters::` / `Returns::` / `References::` / `Examples::`
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literal-block markers (won't render as NumPy-doc sections, violates CLAUDE.md). Present in
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all FDE files. Category: style/docs.
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- **P7-L5**`Caputo.py:50` docstring typo "may be arbitrary real numbers" written as
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"ay be"; `generic.py:107` "name: ste". Category: style/docs.
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- **P7-L6**`pde/base.py` `PDEIntegrator(Integrator): pass` is an unused stub with no PDE
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solvers, no docstring, not in any `__all__`. No functional bug; documents intent only.
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Category: style/dead-code.
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---
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## Out-of-scope / cross-cutting (left unfixed)
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None. All identified Critical/High/Medium issues are inside scope and were fixed.

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