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Keep the CI numba pick solvable against numpy 1.25 and 1.26 #622

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Merged
eriknw merged 2 commits into from
Aug 6, 2026
Merged

Keep the CI numba pick solvable against numpy 1.25 and 1.26 #622

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7466058
Keep the CI numba pick solvable against numpy 1.25 and 1.26
eriknw Aug 5, 2026
f5eb23d
Keep the CI scipy pick solvable against pandas 2.2 and 2.3
eriknw Aug 6, 2026
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35 changes: 35 additions & 0 deletions scripts/ci_pick_versions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -191,6 +191,21 @@ def apply_constraints(v, pyver, scipy_pool, numba_pool):
if v["scipy"] not in ("", "NA") and _ver(v["scipy"]) < (1, 15):
v["scipy"] = random.choice(["1.15", "1.16", "1.17", ""])

# conda-forge pandas >=2.2 carries run_constrained "scipy >=1.10.0" (latest 2.2.3
# build and all 2.3 builds; 2.0/2.1 declare no scipy constraint), so a pandas
# 2.2/2.3 pin alongside a scipy 1.9 pin fails the conda solve outright. Unpinned
# pandas backs off on its own, so only pins trigger. A scipy 1.9 pick can only
# reach here with numpy 1.24/1.25 (the 1.26 conflict above already re-picked),
# so keep the replacement pinned below the scipy 1.15 ceiling those numpys impose.
# MAINT: 2026-08-06 verified with conda search --info against conda-forge
if (
v["pandas"] not in ("", "NA")
and _ver(v["pandas"]) >= (2, 2)
and v["scipy"] not in ("", "NA")
and _ver(v["scipy"]) < (1, 10)
):
v["scipy"] = random.choice([s for s in scipy_pool if s and (1, 10) <= _ver(s) < (1, 15)])

# --- awkward / numpy 2.x support ---

# awkward <2.6 uses numpy.AxisError, which numpy 2.0 removed (test_io.py then fails
Expand Down Expand Up @@ -264,6 +279,13 @@ def apply_constraints(v, pyver, scipy_pool, numba_pool):
if _ver(v["numpy"]) >= (2, 4) and v["numba"] in ("0.62", "0.63"):
v["numba"] = "0.64"

# conda-forge numba 0.57 requires numpy <1.25, so that pairing fails the
# conda solve outright. Verified by dry-run solves: 0.57+1.25 conflicts;
# 0.58+1.25, 0.58+1.26, and 0.59+1.26 all solve.
# MAINT: 2026-08-05 confirmed against conda-forge with mamba dry-runs
if v["numba"] == "0.57" and np_is_1x and _ver(v["numpy"]) >= (1, 25):
v["numba"] = "0.58"

# numba <0.62 doesn't support numpy 2.x
if not np_is_1x and v["numba"] not in ("", "NA") and _ver(v["numba"]) < (0, 62):
v["numba"] = "NA"
Expand Down Expand Up @@ -489,6 +511,15 @@ def validate(v, pyver):
if v["scipy"] not in ("", "NA") and _ver(v["scipy"]) < (1, 15):
errors.append(f"pandas 3.0 requires scipy >=1.14.1, got {v['scipy']}")

# conda-forge pandas >=2.2 constrains scipy >=1.10.0 (fails the conda solve)
if (
v["pandas"] not in ("", "NA")
and _ver(v["pandas"]) >= (2, 2)
and v["scipy"] not in ("", "NA")
and _ver(v["scipy"]) < (1, 10)
):
errors.append(f"pandas {v['pandas']} constrains scipy >=1.10.0, got {v['scipy']}")

# awkward Python availability
if pyver == "3.14" and v["awkward"] not in ("", "NA") and _ver(v["awkward"]) < (2, 8):
errors.append(f"awkward {v['awkward']} has no py3.14 build")
Expand All @@ -503,6 +534,10 @@ def validate(v, pyver):
if v["numpy"] and _ver(v["numpy"]) < (1, 25) and v.get("matplotlib", "") != "<3.11":
errors.append(f"matplotlib unpinned alongside numpy {v['numpy']} (needs <3.11)")

# conda-forge numba 0.57 requires numpy <1.25 (fails the conda solve)
if v["numba"] == "0.57" and v["numpy"] and _ver(v["numpy"]) >= (1, 25) and np_is_1x:
errors.append(f"numba 0.57 requires numpy <1.25, got {v['numpy']}")

# awkward <2.10 requires numpy <2.5 (generic-unit datetime64("NaT") at import)
if (
_ver(v["numpy"]) >= (2, 5)
Expand Down
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