From 2a0a3824926eec26528289ab36b3f51144275f97 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 16 Apr 2026 11:44:16 +0000
Subject: [PATCH 01/13] Trust internal sklearn types needed for GB/HGB models

Address review comments from PR #508:
- Add sklearn internal types to _trusted_types.py instead of creating
  a new SklearnInternalObjectNode (review comment 2)
- Include internal types in ObjectNode's trusted defaults
- Add tests that save/load and verify correctness (review comment 3)
- Filter non-sklearn-prefixed types where appropriate (review comment 1)

Agent-Logs-Url: https://github.com/skops-dev/skops/sessions/6dadf905-6073-4057-bf3d-faed31a559fe

Co-authored-by: adrinjalali <1663864+adrinjalali@users.noreply.github.com>
---
 skops/io/_general.py           |   6 +-
 skops/io/_trusted_types.py     |  66 +++++++++++++++++++++
 skops/io/tests/test_persist.py | 103 +++++++++++++++++++++++++++++++++
 3 files changed, 174 insertions(+), 1 deletion(-)

diff --git a/skops/io/_general.py b/skops/io/_general.py
index ec4b6247..8437f863 100644
--- a/skops/io/_general.py
+++ b/skops/io/_general.py
@@ -21,6 +21,7 @@
     PRIMITIVE_TYPE_NAMES,
     SCIPY_UFUNC_TYPE_NAMES,
     SKLEARN_ESTIMATOR_TYPE_NAMES,
+    SKLEARN_INTERNAL_TYPE_NAMES,
 )
 from ._utils import (
     LoadContext,
@@ -479,7 +480,10 @@ def __init__(
 
         self.children = {"attrs": attrs}
         # TODO: what do we trust?
-        self.trusted = self._get_trusted(trusted, default=SKLEARN_ESTIMATOR_TYPE_NAMES)
+        self.trusted = self._get_trusted(
+            trusted,
+            default=SKLEARN_ESTIMATOR_TYPE_NAMES + SKLEARN_INTERNAL_TYPE_NAMES,
+        )
 
     def _construct(self):
         cls = gettype(self.module_name, self.class_name)
diff --git a/skops/io/_trusted_types.py b/skops/io/_trusted_types.py
index e5bee6b8..6ff04eb2 100644
--- a/skops/io/_trusted_types.py
+++ b/skops/io/_trusted_types.py
@@ -20,6 +20,72 @@
     if get_type_name(estimator_class).startswith("sklearn.")
 ]
 
+# Internal sklearn types used by GradientBoosting and HistGradientBoosting models.
+# These are not public estimators but are needed for serialization of fitted models.
+_SKLEARN_INTERNAL_TYPES: list[type] = []
+
+try:
+    from sklearn._loss.link import (
+        HalfLogitLink,
+        IdentityLink,
+        Interval,
+        LogitLink,
+        LogLink,
+        MultinomialLogit,
+    )
+
+    _SKLEARN_INTERNAL_TYPES.extend(
+        [HalfLogitLink, IdentityLink, Interval, LogitLink, LogLink, MultinomialLogit]
+    )
+except ImportError:
+    pass
+
+try:
+    from sklearn._loss.loss import (
+        AbsoluteError,
+        ExponentialLoss,
+        HalfBinomialLoss,
+        HalfGammaLoss,
+        HalfMultinomialLoss,
+        HalfPoissonLoss,
+        HalfSquaredError,
+        HuberLoss,
+        PinballLoss,
+    )
+
+    _SKLEARN_INTERNAL_TYPES.extend(
+        [
+            AbsoluteError,
+            ExponentialLoss,
+            HalfBinomialLoss,
+            HalfGammaLoss,
+            HalfMultinomialLoss,
+            HalfPoissonLoss,
+            HalfSquaredError,
+            HuberLoss,
+            PinballLoss,
+        ]
+    )
+except ImportError:
+    pass
+
+try:
+    from sklearn._loss._loss import CyHalfMultinomialLoss
+
+    _SKLEARN_INTERNAL_TYPES.append(CyHalfMultinomialLoss)
+except ImportError:
+    pass
+
+try:
+    from sklearn.ensemble._hist_gradient_boosting.binning import _BinMapper
+    from sklearn.ensemble._hist_gradient_boosting.predictor import TreePredictor
+
+    _SKLEARN_INTERNAL_TYPES.extend([_BinMapper, TreePredictor])
+except ImportError:
+    pass
+
+SKLEARN_INTERNAL_TYPE_NAMES = [get_type_name(t) for t in _SKLEARN_INTERNAL_TYPES]
+
 with warnings.catch_warnings():
     # This is to suppress deprecation warning coming from the fact that scipy reports
     # numpy.core for ufuncs, and numpy.core is deprecated and renamed to numpy._core
diff --git a/skops/io/tests/test_persist.py b/skops/io/tests/test_persist.py
index 861cf2eb..25566643 100644
--- a/skops/io/tests/test_persist.py
+++ b/skops/io/tests/test_persist.py
@@ -20,6 +20,12 @@
 from sklearn.datasets import load_sample_images, make_classification, make_regression
 from sklearn.decomposition import SparseCoder
 from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis
+from sklearn.ensemble import (
+    GradientBoostingClassifier,
+    GradientBoostingRegressor,
+    HistGradientBoostingClassifier,
+    HistGradientBoostingRegressor,
+)
 from sklearn.exceptions import SkipTestWarning
 from sklearn.experimental import enable_halving_search_cv  # noqa
 from sklearn.feature_extraction.text import TfidfVectorizer
@@ -438,6 +444,103 @@ def test_can_trust_types(type_):
     assert len(untrusted_types) == 0
 
 
+@pytest.mark.parametrize(
+    ("estimator", "problem_type"),
+    [
+        pytest.param(
+            GradientBoostingClassifier(loss="log_loss", n_estimators=5),
+            "multiclass",
+            id="GradientBoostingClassifier-log_loss-multiclass",
+        ),
+        pytest.param(
+            GradientBoostingClassifier(loss="exponential", n_estimators=5),
+            "binary",
+            id="GradientBoostingClassifier-exponential",
+        ),
+        pytest.param(
+            GradientBoostingRegressor(loss="squared_error", n_estimators=5),
+            "regression",
+            id="GradientBoostingRegressor-squared_error",
+        ),
+        pytest.param(
+            GradientBoostingRegressor(loss="absolute_error", n_estimators=5),
+            "regression",
+            id="GradientBoostingRegressor-absolute_error",
+        ),
+        pytest.param(
+            GradientBoostingRegressor(loss="huber", n_estimators=5),
+            "regression",
+            id="GradientBoostingRegressor-huber",
+        ),
+        pytest.param(
+            GradientBoostingRegressor(loss="quantile", n_estimators=5, alpha=0.8),
+            "regression",
+            id="GradientBoostingRegressor-quantile",
+        ),
+        pytest.param(
+            HistGradientBoostingClassifier(loss="log_loss", max_iter=5),
+            "binary",
+            id="HistGradientBoostingClassifier-log_loss",
+        ),
+        pytest.param(
+            HistGradientBoostingRegressor(loss="gamma", max_iter=5),
+            "positive_regression",
+            id="HistGradientBoostingRegressor-gamma",
+        ),
+        pytest.param(
+            HistGradientBoostingRegressor(loss="poisson", max_iter=5),
+            "positive_regression",
+            id="HistGradientBoostingRegressor-poisson",
+        ),
+    ],
+)
+def test_gradient_boosting_estimators_have_no_untrusted_types(estimator, problem_type):
+    set_random_state(estimator, random_state=0)
+
+    if problem_type == "binary":
+        X, y = make_classification(
+            n_samples=N_SAMPLES,
+            n_features=N_FEATURES,
+            n_classes=2,
+            n_informative=5,
+            random_state=0,
+        )
+    elif problem_type == "multiclass":
+        X, y = make_classification(
+            n_samples=140,
+            n_features=N_FEATURES,
+            n_classes=3,
+            n_informative=8,
+            n_clusters_per_class=1,
+            random_state=0,
+        )
+    elif problem_type == "positive_regression":
+        X, y = make_regression(
+            n_samples=N_SAMPLES,
+            n_features=N_FEATURES,
+            random_state=0,
+        )
+        y = np.abs(y) + 1
+    else:
+        X, y = make_regression(
+            n_samples=N_SAMPLES,
+            n_features=N_FEATURES,
+            random_state=0,
+        )
+
+    with warnings.catch_warnings():
+        warnings.filterwarnings("ignore", module="sklearn")
+        estimator.fit(X, y)
+
+    dumped = dumps(estimator)
+
+    assert get_untrusted_types(data=dumped) == []
+
+    loaded = loads(dumped)
+    assert_params_equal(estimator.__dict__, loaded.__dict__)
+    assert_method_outputs_equal(estimator, loaded, X)
+
+
 @pytest.mark.parametrize(
     "estimator", _unsupported_estimators(), ids=_get_check_estimator_ids
 )

From f638af37f8ad418ed67957edbdbdda147e28f7b6 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 16 Apr 2026 11:45:34 +0000
Subject: [PATCH 02/13] Address code review: improve comments for clarity

Agent-Logs-Url: https://github.com/skops-dev/skops/sessions/6dadf905-6073-4057-bf3d-faed31a559fe

Co-authored-by: adrinjalali <1663864+adrinjalali@users.noreply.github.com>
---
 skops/io/_trusted_types.py     | 3 ++-
 skops/io/tests/test_persist.py | 1 +
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/skops/io/_trusted_types.py b/skops/io/_trusted_types.py
index 6ff04eb2..3840196e 100644
--- a/skops/io/_trusted_types.py
+++ b/skops/io/_trusted_types.py
@@ -21,7 +21,8 @@
 ]
 
 # Internal sklearn types used by GradientBoosting and HistGradientBoosting models.
-# These are not public estimators but are needed for serialization of fitted models.
+# These are not public estimators but are safe internal types (loss functions, link
+# functions, binning, and predictor objects) needed for serialization of fitted models.
 _SKLEARN_INTERNAL_TYPES: list[type] = []
 
 try:
diff --git a/skops/io/tests/test_persist.py b/skops/io/tests/test_persist.py
index 25566643..be613033 100644
--- a/skops/io/tests/test_persist.py
+++ b/skops/io/tests/test_persist.py
@@ -506,6 +506,7 @@ def test_gradient_boosting_estimators_have_no_untrusted_types(estimator, problem
             random_state=0,
         )
     elif problem_type == "multiclass":
+        # n_samples must be > n_classes * n_clusters_per_class to avoid errors
         X, y = make_classification(
             n_samples=140,
             n_features=N_FEATURES,

From f17710e0274c7a3776b11c6f104ad48bd31090db Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 16 Apr 2026 12:15:10 +0000
Subject: [PATCH 03/13] Address review: filter sklearn. prefix, remove
 CyHalfMultinomialLoss, drop warning suppression
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

- Filter SKLEARN_INTERNAL_TYPE_NAMES to only include types starting
  with 'sklearn.' to avoid trusting monkey-patched types from other
  packages
- Remove CyHalfMultinomialLoss from auto-trusted list since its
  __module__ reports '_loss' instead of 'sklearn._loss._loss' (Cython
  build issue on sklearn side)
- Add detailed comment explaining the sklearn Cython module name issue
- Remove unnecessary warnings.catch_warnings() in test — no warnings
  are produced during fitting of these estimators
- Update test to use get_untrusted_types() + loads(trusted=...) pattern

Agent-Logs-Url: https://github.com/skops-dev/skops/sessions/ccbb4abe-8ea6-442c-a6dc-41b9489d35cf

Co-authored-by: adrinjalali <1663864+adrinjalali@users.noreply.github.com>
---
 skops/io/_trusted_types.py     | 23 +++++++++++++++--------
 skops/io/tests/test_persist.py | 10 ++++------
 2 files changed, 19 insertions(+), 14 deletions(-)

diff --git a/skops/io/_trusted_types.py b/skops/io/_trusted_types.py
index 3840196e..2fd03a1d 100644
--- a/skops/io/_trusted_types.py
+++ b/skops/io/_trusted_types.py
@@ -70,13 +70,6 @@
 except ImportError:
     pass
 
-try:
-    from sklearn._loss._loss import CyHalfMultinomialLoss
-
-    _SKLEARN_INTERNAL_TYPES.append(CyHalfMultinomialLoss)
-except ImportError:
-    pass
-
 try:
     from sklearn.ensemble._hist_gradient_boosting.binning import _BinMapper
     from sklearn.ensemble._hist_gradient_boosting.predictor import TreePredictor
@@ -85,7 +78,21 @@
 except ImportError:
     pass
 
-SKLEARN_INTERNAL_TYPE_NAMES = [get_type_name(t) for t in _SKLEARN_INTERNAL_TYPES]
+# NOTE: CyHalfMultinomialLoss (from sklearn._loss._loss) is intentionally excluded.
+# It's a Cython extension type whose __module__ reports '_loss' instead of the fully
+# qualified 'sklearn._loss._loss'. This is a bug in sklearn's Cython build — the .pyx
+# source doesn't set the module name to the full package path. Until sklearn fixes this
+# (e.g. by setting __module__ = 'sklearn._loss._loss' in the Cython source), we cannot
+# safely auto-trust it since we filter all trusted types to start with 'sklearn.' to
+# prevent accidentally trusting monkey-patched types from other packages.
+# Multiclass GradientBoostingClassifier will surface CyHalfMultinomialLoss as an
+# untrusted type that users need to explicitly trust via get_untrusted_types().
+
+SKLEARN_INTERNAL_TYPE_NAMES = [
+    get_type_name(t)
+    for t in _SKLEARN_INTERNAL_TYPES
+    if get_type_name(t).startswith("sklearn.")
+]
 
 with warnings.catch_warnings():
     # This is to suppress deprecation warning coming from the fact that scipy reports
diff --git a/skops/io/tests/test_persist.py b/skops/io/tests/test_persist.py
index be613033..8e67c856 100644
--- a/skops/io/tests/test_persist.py
+++ b/skops/io/tests/test_persist.py
@@ -529,15 +529,13 @@ def test_gradient_boosting_estimators_have_no_untrusted_types(estimator, problem
             random_state=0,
         )
 
-    with warnings.catch_warnings():
-        warnings.filterwarnings("ignore", module="sklearn")
-        estimator.fit(X, y)
+    estimator.fit(X, y)
 
     dumped = dumps(estimator)
+    untrusted_types = get_untrusted_types(data=dumped)
 
-    assert get_untrusted_types(data=dumped) == []
-
-    loaded = loads(dumped)
+    # All untrusted types should be explicitly passed to loads for the round-trip.
+    loaded = loads(dumped, trusted=untrusted_types)
     assert_params_equal(estimator.__dict__, loaded.__dict__)
     assert_method_outputs_equal(estimator, loaded, X)
 

From bc62cc3d987ee217c0fe49644ea01f0b3b17baa2 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 16 Apr 2026 12:16:42 +0000
Subject: [PATCH 04/13] Fix misleading comment in test

Agent-Logs-Url: https://github.com/skops-dev/skops/sessions/ccbb4abe-8ea6-442c-a6dc-41b9489d35cf

Co-authored-by: adrinjalali <1663864+adrinjalali@users.noreply.github.com>
---
 skops/io/tests/test_persist.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/skops/io/tests/test_persist.py b/skops/io/tests/test_persist.py
index 8e67c856..fcfd73e2 100644
--- a/skops/io/tests/test_persist.py
+++ b/skops/io/tests/test_persist.py
@@ -534,7 +534,7 @@ def test_gradient_boosting_estimators_have_no_untrusted_types(estimator, problem
     dumped = dumps(estimator)
     untrusted_types = get_untrusted_types(data=dumped)
 
-    # All untrusted types should be explicitly passed to loads for the round-trip.
+    # Pass any remaining untrusted types to loads for the round-trip.
     loaded = loads(dumped, trusted=untrusted_types)
     assert_params_equal(estimator.__dict__, loaded.__dict__)
     assert_method_outputs_equal(estimator, loaded, X)

From 1fd89acae110f23d48d1a1b0a882a3eb35b69b69 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 16 Apr 2026 14:07:46 +0000
Subject: [PATCH 05/13] Add all Cy* types to trusted types; conditionally test
 based on __module__ correctness

Agent-Logs-Url: https://github.com/skops-dev/skops/sessions/a65530ea-7c30-419d-a36e-e6c6a423c5f7

Co-authored-by: adrinjalali <1663864+adrinjalali@users.noreply.github.com>
---
 skops/io/_trusted_types.py     | 49 +++++++++++++++++++++++++++-------
 skops/io/tests/test_persist.py | 23 +++++++++++++++-
 2 files changed, 62 insertions(+), 10 deletions(-)

diff --git a/skops/io/_trusted_types.py b/skops/io/_trusted_types.py
index 2fd03a1d..1a1091c4 100644
--- a/skops/io/_trusted_types.py
+++ b/skops/io/_trusted_types.py
@@ -78,15 +78,46 @@
 except ImportError:
     pass
 
-# NOTE: CyHalfMultinomialLoss (from sklearn._loss._loss) is intentionally excluded.
-# It's a Cython extension type whose __module__ reports '_loss' instead of the fully
-# qualified 'sklearn._loss._loss'. This is a bug in sklearn's Cython build — the .pyx
-# source doesn't set the module name to the full package path. Until sklearn fixes this
-# (e.g. by setting __module__ = 'sklearn._loss._loss' in the Cython source), we cannot
-# safely auto-trust it since we filter all trusted types to start with 'sklearn.' to
-# prevent accidentally trusting monkey-patched types from other packages.
-# Multiclass GradientBoostingClassifier will surface CyHalfMultinomialLoss as an
-# untrusted type that users need to explicitly trust via get_untrusted_types().
+# Cython loss classes from sklearn._loss._loss. These are internal Cython extension
+# types used by GradientBoosting models. Currently their __module__ incorrectly reports
+# '_loss' instead of 'sklearn._loss._loss' due to a bug in sklearn's Cython build
+# (see https://github.com/scikit-learn/scikit-learn/pull/33770). The startswith
+# ("sklearn.") filter below will automatically exclude them while __module__ is wrong,
+# and automatically include them once sklearn fixes the issue.
+try:
+    from sklearn._loss._loss import (
+        CyAbsoluteError,
+        CyExponentialLoss,
+        CyHalfBinomialLoss,
+        CyHalfGammaLoss,
+        CyHalfMultinomialLoss,
+        CyHalfPoissonLoss,
+        CyHalfSquaredError,
+        CyHalfTweedieLoss,
+        CyHalfTweedieLossIdentity,
+        CyHuberLoss,
+        CyLossFunction,
+        CyPinballLoss,
+    )
+
+    _SKLEARN_INTERNAL_TYPES.extend(
+        [
+            CyAbsoluteError,
+            CyExponentialLoss,
+            CyHalfBinomialLoss,
+            CyHalfGammaLoss,
+            CyHalfMultinomialLoss,
+            CyHalfPoissonLoss,
+            CyHalfSquaredError,
+            CyHalfTweedieLoss,
+            CyHalfTweedieLossIdentity,
+            CyHuberLoss,
+            CyLossFunction,
+            CyPinballLoss,
+        ]
+    )
+except ImportError:
+    pass
 
 SKLEARN_INTERNAL_TYPE_NAMES = [
     get_type_name(t)
diff --git a/skops/io/tests/test_persist.py b/skops/io/tests/test_persist.py
index fcfd73e2..cb344a46 100644
--- a/skops/io/tests/test_persist.py
+++ b/skops/io/tests/test_persist.py
@@ -534,7 +534,28 @@ def test_gradient_boosting_estimators_have_no_untrusted_types(estimator, problem
     dumped = dumps(estimator)
     untrusted_types = get_untrusted_types(data=dumped)
 
-    # Pass any remaining untrusted types to loads for the round-trip.
+    # Cy* Cython extension types in sklearn._loss._loss currently report their
+    # __module__ as '_loss' instead of 'sklearn._loss._loss', which means they
+    # fail the startswith("sklearn.") safety filter and are not auto-trusted.
+    # See https://github.com/scikit-learn/scikit-learn/pull/33770 for the fix.
+    # Once that fix lands, all GB/HGB models should have zero untrusted types.
+    _cy_module_is_correct = True
+    try:
+        from sklearn._loss._loss import CyHalfMultinomialLoss
+
+        _cy_module_is_correct = CyHalfMultinomialLoss.__module__.startswith(
+            "sklearn."
+        )
+    except ImportError:
+        pass
+
+    if problem_type == "multiclass" and not _cy_module_is_correct:
+        # Multiclass GBC uses CyHalfMultinomialLoss which has a wrong
+        # __module__, so it surfaces as untrusted until sklearn fixes it.
+        assert untrusted_types == ["_loss.CyHalfMultinomialLoss"]
+    else:
+        assert untrusted_types == []
+
     loaded = loads(dumped, trusted=untrusted_types)
     assert_params_equal(estimator.__dict__, loaded.__dict__)
     assert_method_outputs_equal(estimator, loaded, X)

From 41cd7413db2d32836245c6bc6c44be60eeda6762 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 16 Apr 2026 14:08:51 +0000
Subject: [PATCH 06/13] Rename _cy_module_is_correct to cy_module_is_correct
 (local variable convention)

Agent-Logs-Url: https://github.com/skops-dev/skops/sessions/a65530ea-7c30-419d-a36e-e6c6a423c5f7

Co-authored-by: adrinjalali <1663864+adrinjalali@users.noreply.github.com>
---
 skops/io/tests/test_persist.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/skops/io/tests/test_persist.py b/skops/io/tests/test_persist.py
index cb344a46..3c04f172 100644
--- a/skops/io/tests/test_persist.py
+++ b/skops/io/tests/test_persist.py
@@ -539,17 +539,17 @@ def test_gradient_boosting_estimators_have_no_untrusted_types(estimator, problem
     # fail the startswith("sklearn.") safety filter and are not auto-trusted.
     # See https://github.com/scikit-learn/scikit-learn/pull/33770 for the fix.
     # Once that fix lands, all GB/HGB models should have zero untrusted types.
-    _cy_module_is_correct = True
+    cy_module_is_correct = True
     try:
         from sklearn._loss._loss import CyHalfMultinomialLoss
 
-        _cy_module_is_correct = CyHalfMultinomialLoss.__module__.startswith(
+        cy_module_is_correct = CyHalfMultinomialLoss.__module__.startswith(
             "sklearn."
         )
     except ImportError:
         pass
 
-    if problem_type == "multiclass" and not _cy_module_is_correct:
+    if problem_type == "multiclass" and not cy_module_is_correct:
         # Multiclass GBC uses CyHalfMultinomialLoss which has a wrong
         # __module__, so it surfaces as untrusted until sklearn fixes it.
         assert untrusted_types == ["_loss.CyHalfMultinomialLoss"]

From 00c2cfc0cb6e324d828e00eab12b84ef3d1e3e35 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 16 Apr 2026 14:38:39 +0000
Subject: [PATCH 07/13] Fix CI: apply black formatting and update pixi.lock

Agent-Logs-Url: https://github.com/skops-dev/skops/sessions/9bf5c6f9-7729-4d13-a37a-18a6b934d296

Co-authored-by: adrinjalali <1663864+adrinjalali@users.noreply.github.com>
---
 pixi.lock                      | 5 +++--
 skops/io/tests/test_persist.py | 4 +---
 2 files changed, 4 insertions(+), 5 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index a86da1a1..0edea9ba 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -23489,10 +23489,10 @@ packages:
   - pkg:pypi/six?source=hash-mapping
   size: 18455
   timestamp: 1753199211006
-- pypi: ./
+- pypi: .
   name: skops
   version: 0.14.dev0
-  sha256: c7af1710e6fc5dcfab436d88167f56d249a1e67bead44a799e6bf44200f85c98
+  sha256: 3bdc721e7411a4dbcb71fb5e8fbbfe44e7016362a512b78718a8442f61cd67bd
   requires_dist:
   - numpy>=1.25.0
   - packaging>=17.0
@@ -23501,6 +23501,7 @@ packages:
   - scipy>=1.10.0
   - rich>=12 ; extra == 'rich'
   requires_python: '>=3.9'
+  editable: true
 - conda: https://conda.anaconda.org/conda-forge/noarch/snowballstemmer-3.0.1-pyhd8ed1ab_0.conda
   sha256: 17007a4cfbc564dc3e7310dcbe4932c6ecb21593d4fec3c68610720f19e73fb2
   md5: 755cf22df8693aa0d1aec1c123fa5863
diff --git a/skops/io/tests/test_persist.py b/skops/io/tests/test_persist.py
index 3c04f172..46a77e15 100644
--- a/skops/io/tests/test_persist.py
+++ b/skops/io/tests/test_persist.py
@@ -543,9 +543,7 @@ def test_gradient_boosting_estimators_have_no_untrusted_types(estimator, problem
     try:
         from sklearn._loss._loss import CyHalfMultinomialLoss
 
-        cy_module_is_correct = CyHalfMultinomialLoss.__module__.startswith(
-            "sklearn."
-        )
+        cy_module_is_correct = CyHalfMultinomialLoss.__module__.startswith("sklearn.")
     except ImportError:
         pass
 

From a2ebeb997944f4aacda3c176d3e5a46849c0bda6 Mon Sep 17 00:00:00 2001
From: adrinjalali <adrin.jalali@gmail.com>
Date: Fri, 17 Apr 2026 09:48:21 +0200
Subject: [PATCH 08/13] update mechanism

---
 docs/changes.rst               |    3 +
 pixi.lock                      | 1348 ++++++++++++++++----------------
 skops/io/_general.py           |   34 +-
 skops/io/_sklearn.py           |   17 +-
 skops/io/_trusted_types.py     |   41 -
 skops/io/tests/test_persist.py |   23 +-
 6 files changed, 706 insertions(+), 760 deletions(-)

diff --git a/docs/changes.rst b/docs/changes.rst
index e8daaf65..fc9751b9 100644
--- a/docs/changes.rst
+++ b/docs/changes.rst
@@ -11,6 +11,9 @@ skops Changelog
 
 v0.14
 -----
+- Trust internal scikit-learn types needed by GradientBoosting and
+  HistGradientBoosting models, so they no longer surface as untrusted types.
+  :pr:`513` by :user:`cakedev0 <cakedev0>` and `Adrin Jalali`_.
 
 v0.13
 -----
diff --git a/pixi.lock b/pixi.lock
index 0edea9ba..ae203402 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -6,6 +6,8 @@ environments:
     indexes:
     - https://pypi.org/simple
     - https://pypi.anaconda.org/scientific-python-nightly-wheels/simple
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
@@ -28,7 +30,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.4.0-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.25.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.28.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/flake8-7.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/flaky-3.8.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
@@ -60,13 +62,13 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.2.0-hb03c661_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-6_h0358290_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp21.1-21.1.8-default_h99862b1_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-22.1.3-default_h746c552_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-22.1.3-default_h746c552_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-h7a8fb5f_6.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.25-h17f619e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.125-hb03c661_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949ede_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-devel-1.7.0-ha4b6fd6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.5-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype-2.14.3-ha770c72_0.conda
@@ -76,14 +78,15 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_18.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgl-1.7.0-ha4b6fd6_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgl-devel-1.7.0-ha4b6fd6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.86.4-h6548e54_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libglvnd-1.7.0-ha4b6fd6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libglx-1.7.0-ha4b6fd6_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libglx-devel-1.7.0-ha4b6fd6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h3b78370_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.1.4.1-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-6_h47877c9_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm21-21.1.8-hf7376ad_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm22-22.1.3-hf7376ad_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda
@@ -91,7 +94,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libopengl-1.7.0-ha4b6fd6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libpciaccess-0.18-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.57-h421ea60_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.58-h421ea60_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libpq-18.3-h9abb657_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.0-hf4e2dac_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_18.conda
@@ -103,8 +106,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxkbcommon-1.13.1-hca5e8e5_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-16-2.15.2-hca6bf5a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.15.2-he237659_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-16-2.15.3-hca6bf5a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.15.3-h49c6c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.43-h711ed8c_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-4.0.0-pyhd8ed1ab_0.conda
@@ -119,7 +122,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.2-h35e630c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-26.1-pyhc364b38_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pandas-3.0.2-py314hb4ffadd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.47-haa7fec5_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pillow-12.2.0-py314h8ec4b1a_0.conda
@@ -133,7 +136,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyside6-6.11.0-py314h3987850_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyside6-6.11.0-py314h3987850_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.3-pyhc364b38_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-7.1.0-pyhcf101f3_0.conda
@@ -143,7 +146,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.11.0-pl5321h16c4a6b_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.11.0-pl5321h16c4a6b_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.1-pyh332efcf_0.conda
@@ -157,7 +160,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-21.2.1-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-21.2.4-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/wayland-1.25.0-hd6090a7_0.conda
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@@ -181,8 +184,9 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.7-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2025.1-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h280c20c_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.3-hceb46e0_1.conda
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@@ -195,7 +199,7 @@ environments:
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-      - pypi: .
+      - pypi: ./
       osx-64:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/_openmp_mutex-4.5-7_kmp_llvm.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/backports.zstd-1.3.0-py314h680f03e_0.conda
@@ -212,7 +216,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.25.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.28.0-pyhd8ed1ab_0.conda
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@@ -246,7 +250,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libpng-1.6.57-he930e7c_0.conda
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   - ucrt >=10.0.20348.0
-  - qt6-main >=6.11.0,<6.12.0a0
+  - libxml2
+  - libxml2-16 >=2.14.6
   - python_abi 3.14.* *_cp314
+  - libvulkan-loader >=1.4.341.0,<2.0a0
+  - qt6-main >=6.11.0,<6.12.0a0
   - libclang13 >=21.1.8
   - libxslt >=1.1.43,<2.0a0
-  - libvulkan-loader >=1.4.341.0,<2.0a0
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   license_family: LGPL
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-  size: 11066229
-  timestamp: 1775055198084
+  - pkg:pypi/pyside6?source=hash-mapping
+  - pkg:pypi/shiboken6?source=hash-mapping
+  size: 11209595
+  timestamp: 1776276413741
 - conda: https://conda.anaconda.org/conda-forge/win-64/pyside6-6.9.1-py39h5f4aa1c_0.conda
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@@ -20550,7 +20550,7 @@ packages:
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   license_family: MIT
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+  - pkg:pypi/pyyaml?source=hash-mapping
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.11.0-pl5321h16c4a6b_2.conda
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-  md5: c6ba2de6b22dedf2f20eba3bde1dbe8e
+- conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.11.0-pl5321h16c4a6b_4.conda
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+  md5: c81127acb50fdc7760682495fc9ab088
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   - xcb-util
@@ -20876,69 +20876,67 @@ packages:
   - xcb-util-image
   - xcb-util-renderutil
   - xcb-util-cursor
+  - libgl-devel
+  - libegl-devel
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   - __glibc >=2.17,<3.0.a0
   - libstdcxx >=14
-  - libllvm21 >=21.1.8,<21.2.0a0
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-  - libzlib >=1.3.2,<2.0a0
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-  - libxml2
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-  - libpq >=18.3,<19.0a0
-  - xorg-libice >=1.1.2,<2.0a0
+  - libwebp-base >=1.6.0,<2.0a0
   - libgl >=1.7.0,<2.0a0
-  - harfbuzz >=13.2.1
-  - xorg-libxdamage >=1.1.6,<2.0a0
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-  - xorg-libxcursor >=1.2.3,<2.0a0
-  - krb5 >=1.22.2,<1.23.0a0
+  - libegl >=1.7.0,<2.0a0
+  - openssl >=3.5.6,<4.0a0
   - dbus >=1.16.2,<2.0a0
-  - libdrm >=2.4.125,<2.5.0a0
-  - libjpeg-turbo >=3.1.2,<4.0a0
+  - libxkbcommon >=1.13.1,<2.0a0
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+  - krb5 >=1.22.2,<1.23.0a0
   - fontconfig >=2.17.1,<3.0a0
   - fonts-conda-ecosystem
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-  - openssl >=3.5.5,<4.0a0
-  - libegl >=1.7.0,<2.0a0
-  - libpng >=1.6.56,<1.7.0a0
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+  - xorg-libxcomposite >=0.4.7,<1.0a0
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+  - icu >=78.3,<79.0a0
+  - xorg-libxdamage >=1.1.6,<2.0a0
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   - wayland >=1.25.0,<2.0a0
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-  - libbrotlienc >=1.2.0,<1.3.0a0
-  - libbrotlidec >=1.2.0,<1.3.0a0
+  - libzlib >=1.3.2,<2.0a0
+  - xcb-util-keysyms >=0.4.1,<0.5.0a0
+  - xorg-libxcursor >=1.2.3,<2.0a0
+  - double-conversion >=3.4.0,<3.5.0a0
+  - alsa-lib >=1.2.15.3,<1.3.0a0
+  - xorg-libxext >=1.3.7,<2.0a0
+  - harfbuzz >=14.1.0
+  - libsqlite >=3.53.0,<4.0a0
   - libfreetype >=2.14.3
   - libfreetype6 >=2.14.3
-  - xorg-libxext >=1.3.7,<2.0a0
-  - xcb-util >=0.4.1,<0.5.0a0
+  - libtiff >=4.7.1,<4.8.0a0
+  - libdrm >=2.4.125,<2.5.0a0
+  - libjpeg-turbo >=3.1.4.1,<4.0a0
+  - xcb-util-wm >=0.4.2,<0.5.0a0
+  - libcups >=2.3.3,<2.4.0a0
   - xorg-libx11 >=1.8.13,<2.0a0
+  - libpng >=1.6.58,<1.7.0a0
   - xorg-libxtst >=1.2.5,<2.0a0
-  - libclang13 >=21.1.8
-  - libsqlite >=3.52.0,<4.0a0
-  - libtiff >=4.7.1,<4.8.0a0
+  - xorg-libice >=1.1.2,<2.0a0
+  - xorg-libxrandr >=1.5.5,<2.0a0
+  - libbrotlicommon >=1.2.0,<1.3.0a0
+  - libbrotlienc >=1.2.0,<1.3.0a0
+  - libbrotlidec >=1.2.0,<1.3.0a0
+  - xcb-util-cursor >=0.1.6,<0.2.0a0
+  - libxml2
+  - libxml2-16 >=2.14.6
+  - xorg-libsm >=1.2.6,<2.0a0
+  - libpq >=18.3,<19.0a0
+  - libglib >=2.86.4,<3.0a0
   constrains:
   - qt ==6.11.0
   license: LGPL-3.0-only
-  license_family: LGPL
   purls: []
-  size: 60993086
-  timestamp: 1774634904948
+  size: 59928585
+  timestamp: 1776322501700
 - conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.9.1-h6ac528c_2.conda
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-  md5: b53193a38f677045dae28f7039122035
+- conda: https://conda.anaconda.org/conda-forge/win-64/qt6-main-6.11.0-pl5321hfcac499_4.conda
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-  - harfbuzz >=13.2.1
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-  - libglib >=2.86.4,<3.0a0
-  - libjpeg-turbo >=3.1.2,<4.0a0
+  - libvulkan-loader >=1.4.341.0,<2.0a0
+  - krb5 >=1.22.2,<1.23.0a0
+  - libsqlite >=3.53.0,<4.0a0
   - libbrotlicommon >=1.2.0,<1.3.0a0
   - libbrotlienc >=1.2.0,<1.3.0a0
   - libbrotlidec >=1.2.0,<1.3.0a0
-  - krb5 >=1.22.2,<1.23.0a0
-  - openssl >=3.5.5,<4.0a0
-  - libsqlite >=3.52.0,<4.0a0
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-  - double-conversion >=3.4.0,<3.5.0a0
-  - libvulkan-loader >=1.4.341.0,<2.0a0
+  - libglib >=2.86.4,<3.0a0
+  - pcre2 >=10.47,<10.48.0a0
+  - libpng >=1.6.57,<1.7.0a0
   - icu >=78.3,<79.0a0
+  - openssl >=3.5.6,<4.0a0
   - zstd >=1.5.7,<1.6.0a0
-  - pcre2 >=10.47,<10.48.0a0
+  - libjpeg-turbo >=3.1.4.1,<4.0a0
+  - double-conversion >=3.4.0,<3.5.0a0
+  - libtiff >=4.7.1,<4.8.0a0
+  - libzlib >=1.3.2,<2.0a0
   - libfreetype >=2.14.3
   - libfreetype6 >=2.14.3
-  - libtiff >=4.7.1,<4.8.0a0
+  - harfbuzz >=14.1.0
+  - libwebp-base >=1.6.0,<2.0a0
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   - qt ==6.11.0
   license: LGPL-3.0-only
   license_family: LGPL
   purls: []
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@@ -21383,6 +21381,7 @@ packages:
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+  license_family: MIT
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@@ -23474,7 +23473,7 @@ packages:
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   license_family: MIT
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-  - pkg:pypi/setuptools?source=compressed-mapping
+  - pkg:pypi/setuptools?source=hash-mapping
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 - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhe01879c_1.conda
@@ -23489,7 +23488,7 @@ packages:
   - pkg:pypi/six?source=hash-mapping
   size: 18455
   timestamp: 1753199211006
-- pypi: .
+- pypi: ./
   name: skops
   version: 0.14.dev0
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   requires_python: '>=3.9'
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 - conda: https://conda.anaconda.org/conda-forge/noarch/snowballstemmer-3.0.1-pyhd8ed1ab_0.conda
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.5.5-py314h5bd0f2a_0.conda
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+  - pkg:pypi/tornado?source=hash-mapping
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.5.2-py39hb1cfd32_0.conda
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   license_family: Apache
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+  - pkg:pypi/tornado?source=hash-mapping
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+  - pkg:pypi/tornado?source=hash-mapping
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-- conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-21.2.1-pyhcf101f3_0.conda
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-  md5: fa76df129efc4550f272d8668acbe658
+- conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-21.2.4-pyhcf101f3_0.conda
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+  md5: 15be1b64e7a4501abb4f740c28ceadaf
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-  size: 4658762
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   - numpy
-  - nvidia-nccl-cu12 ; platform_machine != 'aarch64' and platform_system == 'Linux'
+  - nvidia-nccl-cu12 ; platform_machine != 'aarch64' and sys_platform == 'linux'
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+  - nvidia-nccl-cu12 ; platform_machine != 'aarch64' and sys_platform == 'linux'
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+  - nvidia-nccl-cu12 ; platform_machine != 'aarch64' and sys_platform == 'linux'
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-  - nvidia-nccl-cu12 ; platform_machine != 'aarch64' and platform_system == 'Linux'
+  - nvidia-nccl-cu12 ; platform_machine != 'aarch64' and sys_platform == 'linux'
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+  - nvidia-nccl-cu12 ; sys_platform == 'linux'
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+  - nvidia-nccl-cu12 ; sys_platform == 'linux'
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+  - nvidia-nccl-cu12 ; sys_platform == 'linux'
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+  - nvidia-nccl-cu12 ; sys_platform == 'linux'
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   - distributed ; extra == 'dask'
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-- conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
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@@ -25875,6 +25861,18 @@ packages:
   - pkg:pypi/zipp?source=hash-mapping
   size: 22963
   timestamp: 1749421737203
+- conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.1-pyhcf101f3_0.conda
+  sha256: 523616c0530d305d2216c2b4a8dfd3872628b60083255b89c5e0d8c42e738cca
+  md5: e1c36c6121a7c9c76f2f148f1e83b983
+  depends:
+  - python >=3.10
+  - python
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/zipp?source=compressed-mapping
+  size: 24461
+  timestamp: 1776131454755
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.3-hceb46e0_1.conda
   sha256: ea4e50c465d70236408cb0bfe0115609fd14db1adcd8bd30d8918e0291f8a75f
   md5: 2aadb0d17215603a82a2a6b0afd9a4cb
diff --git a/skops/io/_general.py b/skops/io/_general.py
index 8437f863..0f0abf1f 100644
--- a/skops/io/_general.py
+++ b/skops/io/_general.py
@@ -8,7 +8,7 @@
 from functools import partial
 from reprlib import Repr
 from types import FunctionType, MethodType
-from typing import Any
+from typing import Any, Optional, Sequence
 
 import numpy as np
 
@@ -63,7 +63,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [dict, "collections.OrderedDict"])
@@ -103,7 +103,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = ["collections.defaultdict"]
@@ -139,7 +139,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [list])
@@ -171,7 +171,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [set])
@@ -203,7 +203,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [tuple])
@@ -250,7 +250,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         # TODO: what do we trust?
@@ -294,7 +294,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         # TODO: should we trust anything?
@@ -335,7 +335,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         # TODO: what do we trust?
@@ -370,7 +370,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [slice])
@@ -450,7 +450,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.children = {
@@ -468,7 +468,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
 
@@ -532,7 +532,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         obj = get_tree(state["content"]["obj"], load_context, trusted=trusted)
@@ -576,7 +576,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.content = state["content"]
@@ -629,7 +629,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [bytes])
@@ -650,7 +650,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [bytearray])
@@ -680,7 +680,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         if self.module_name != "operator":
diff --git a/skops/io/_sklearn.py b/skops/io/_sklearn.py
index 2916b782..feb8fb63 100644
--- a/skops/io/_sklearn.py
+++ b/skops/io/_sklearn.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any
+from typing import Any, Optional, Sequence
 
 from sklearn.cluster import Birch
 from sklearn.tree._tree import Tree
@@ -79,7 +79,7 @@
         CyPinballLoss,
     }
 except ImportError:
-    pass
+    CyHalfMultinomialLoss = None
 
 # This import is for the parent class of all loss functions, which is used to
 # set the dispatch function for all loss functions.
@@ -154,7 +154,7 @@ def __init__(
         state: dict[str, Any],
         load_context: LoadContext,
         constructor: tuple[str, str],
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         reduce = state["__reduce__"]
@@ -213,7 +213,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         self.trusted = self._get_trusted(trusted, [get_module(Tree) + ".Tree"])
         super().__init__(
@@ -251,7 +251,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         # TODO: make sure trusted here makes sense and used.
         self.trusted = self._get_trusted(
@@ -292,7 +292,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = [
@@ -326,6 +326,11 @@ def _construct(self):
 if CyLossFunction is not None:
     GET_STATE_DISPATCH_FUNCTIONS.append((CyLossFunction, loss_get_state))
 
+# CyHalfMultinomialLoss is not a subclass of CyLossFunction, so it needs its
+# own dispatch entry. It's already in ALLOWED_LOSSES so LossNode will trust it.
+if CyHalfMultinomialLoss is not None:
+    GET_STATE_DISPATCH_FUNCTIONS.append((CyHalfMultinomialLoss, loss_get_state))
+
 for type_ in UNSUPPORTED_TYPES:
     GET_STATE_DISPATCH_FUNCTIONS.append((type_, unsupported_get_state))
 
diff --git a/skops/io/_trusted_types.py b/skops/io/_trusted_types.py
index 1a1091c4..1f337b95 100644
--- a/skops/io/_trusted_types.py
+++ b/skops/io/_trusted_types.py
@@ -78,47 +78,6 @@
 except ImportError:
     pass
 
-# Cython loss classes from sklearn._loss._loss. These are internal Cython extension
-# types used by GradientBoosting models. Currently their __module__ incorrectly reports
-# '_loss' instead of 'sklearn._loss._loss' due to a bug in sklearn's Cython build
-# (see https://github.com/scikit-learn/scikit-learn/pull/33770). The startswith
-# ("sklearn.") filter below will automatically exclude them while __module__ is wrong,
-# and automatically include them once sklearn fixes the issue.
-try:
-    from sklearn._loss._loss import (
-        CyAbsoluteError,
-        CyExponentialLoss,
-        CyHalfBinomialLoss,
-        CyHalfGammaLoss,
-        CyHalfMultinomialLoss,
-        CyHalfPoissonLoss,
-        CyHalfSquaredError,
-        CyHalfTweedieLoss,
-        CyHalfTweedieLossIdentity,
-        CyHuberLoss,
-        CyLossFunction,
-        CyPinballLoss,
-    )
-
-    _SKLEARN_INTERNAL_TYPES.extend(
-        [
-            CyAbsoluteError,
-            CyExponentialLoss,
-            CyHalfBinomialLoss,
-            CyHalfGammaLoss,
-            CyHalfMultinomialLoss,
-            CyHalfPoissonLoss,
-            CyHalfSquaredError,
-            CyHalfTweedieLoss,
-            CyHalfTweedieLossIdentity,
-            CyHuberLoss,
-            CyLossFunction,
-            CyPinballLoss,
-        ]
-    )
-except ImportError:
-    pass
-
 SKLEARN_INTERNAL_TYPE_NAMES = [
     get_type_name(t)
     for t in _SKLEARN_INTERNAL_TYPES
diff --git a/skops/io/tests/test_persist.py b/skops/io/tests/test_persist.py
index 46a77e15..b94b1b24 100644
--- a/skops/io/tests/test_persist.py
+++ b/skops/io/tests/test_persist.py
@@ -533,28 +533,9 @@ def test_gradient_boosting_estimators_have_no_untrusted_types(estimator, problem
 
     dumped = dumps(estimator)
     untrusted_types = get_untrusted_types(data=dumped)
+    assert untrusted_types == []
 
-    # Cy* Cython extension types in sklearn._loss._loss currently report their
-    # __module__ as '_loss' instead of 'sklearn._loss._loss', which means they
-    # fail the startswith("sklearn.") safety filter and are not auto-trusted.
-    # See https://github.com/scikit-learn/scikit-learn/pull/33770 for the fix.
-    # Once that fix lands, all GB/HGB models should have zero untrusted types.
-    cy_module_is_correct = True
-    try:
-        from sklearn._loss._loss import CyHalfMultinomialLoss
-
-        cy_module_is_correct = CyHalfMultinomialLoss.__module__.startswith("sklearn.")
-    except ImportError:
-        pass
-
-    if problem_type == "multiclass" and not cy_module_is_correct:
-        # Multiclass GBC uses CyHalfMultinomialLoss which has a wrong
-        # __module__, so it surfaces as untrusted until sklearn fixes it.
-        assert untrusted_types == ["_loss.CyHalfMultinomialLoss"]
-    else:
-        assert untrusted_types == []
-
-    loaded = loads(dumped, trusted=untrusted_types)
+    loaded = loads(dumped)
     assert_params_equal(estimator.__dict__, loaded.__dict__)
     assert_method_outputs_equal(estimator, loaded, X)
 

From 1acfbe03ee9b49c64349e67c40bbf0f66d7a33f2 Mon Sep 17 00:00:00 2001
From: adrinjalali <adrin.jalali@gmail.com>
Date: Fri, 17 Apr 2026 09:49:18 +0200
Subject: [PATCH 09/13] pre-commit update

---
 .pre-commit-config.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 6a4d8603..fb0e26fa 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,6 +1,6 @@
 repos:
 -   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v6.0.0
     hooks:
     -   id: check-yaml
         exclude: .github/conda/meta.yaml

From 08cae81fddcd9a0b2120669f5d3bffb56ce03724 Mon Sep 17 00:00:00 2001
From: adrinjalali <adrin.jalali@gmail.com>
Date: Fri, 17 Apr 2026 09:51:32 +0200
Subject: [PATCH 10/13] ...

---
 .pre-commit-config.yaml      |  2 +-
 skops/card/_markup.py        |  6 +++---
 skops/card/_model_card.py    | 14 +++++++-------
 skops/cli/_convert.py        |  3 ++-
 skops/io/_audit.py           | 18 +++++++++---------
 skops/io/_numpy.py           | 12 ++++++------
 skops/io/_persist.py         |  6 +++---
 skops/io/_quantile_forest.py |  4 ++--
 skops/io/_scipy.py           |  4 ++--
 skops/io/_visualize.py       |  4 ++--
 skops/io/old/_general_v0.py  |  4 ++--
 skops/io/old/_numpy_v0.py    |  4 ++--
 skops/io/old/_numpy_v1.py    |  4 ++--
 13 files changed, 43 insertions(+), 42 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index fb0e26fa..6a4d8603 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,6 +1,6 @@
 repos:
 -   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v6.0.0
+    rev: v4.4.0
     hooks:
     -   id: check-yaml
         exclude: .github/conda/meta.yaml
diff --git a/skops/card/_markup.py b/skops/card/_markup.py
index d97bac7c..2e42a25c 100644
--- a/skops/card/_markup.py
+++ b/skops/card/_markup.py
@@ -5,7 +5,7 @@
 import sys
 from collections.abc import Mapping
 from contextlib import contextmanager
-from typing import Any
+from typing import Any, Sequence
 
 from skops.card._model_card import TableSection
 
@@ -258,13 +258,13 @@ def _table(self, item) -> str:
             # pandoc < 2.5
             columns, body = self._table_old(item)
 
-        table: Mapping[str, list[Any]]
+        table: Mapping[str, Sequence[Any]]
         if not body:
             table = {key: [] for key in columns}
         else:
             # body is row oriented, transpose to column oriented
             data_transposed = zip(*body)
-            table = {key: list(val) for key, val in zip(columns, data_transposed)}
+            table = {key: val for key, val in zip(columns, data_transposed)}
 
         res = TableSection(title="", content="", table=table).format()
         return res
diff --git a/skops/card/_model_card.py b/skops/card/_model_card.py
index 16378818..b064c54b 100644
--- a/skops/card/_model_card.py
+++ b/skops/card/_model_card.py
@@ -11,7 +11,7 @@
 from hashlib import sha256
 from pathlib import Path
 from reprlib import Repr
-from typing import Any, Iterator, Literal
+from typing import Any, Iterator, List, Literal, Optional, Sequence
 
 import joblib
 from prettytable import PrettyTable, TableStyle
@@ -178,7 +178,7 @@ def __repr__(self) -> str:
 class TableSection(Section):
     """Adds a table to the model card"""
 
-    table: Mapping[str, list[Any]] = field(default_factory=dict)
+    table: Mapping[str, Sequence[Any]] = field(default_factory=dict)
     folded: bool = False
 
     def __post_init__(self) -> None:
@@ -228,7 +228,7 @@ def __repr__(self) -> str:
 
 
 def _load_model(
-    model: Any, trusted: list[str] | None = None, allow_pickle: bool = False
+    model: Any, trusted: Optional[Sequence[str]] = None, allow_pickle: bool = False
 ) -> Any:
     """Return a model instance.
 
@@ -403,7 +403,7 @@ def __init__(
         model_format: Literal["pickle", "skops"] | None = None,
         model_diagram: bool | Literal["auto"] | str = "auto",
         template: Literal["skops"] | dict[str, str] | None = "skops",
-        trusted: list[str] | None = None,
+        trusted: Optional[List[str]] = None,
         allow_pickle: bool = False,
     ) -> None:
         self.model = model
@@ -535,7 +535,7 @@ def add(self, folded: bool = False, **kwargs: str) -> Self:
         return self
 
     def _select(
-        self, subsection_names: list[str], create: bool = True
+        self, subsection_names: Sequence[str], create: bool = True
     ) -> dict[str, Section]:
         """Select a single section from the data.
 
@@ -629,7 +629,7 @@ def select(self, key: str) -> Section:
         parent_section = self._select(subsection_names, create=False)
         return parent_section[leaf_node_name]
 
-    def delete(self, key: str | list[str]) -> None:
+    def delete(self, key: str | Sequence[str]) -> None:
         """Delete a section from the model card.
 
         To delete a subsection of an existing section, use a ``"/"`` in the
@@ -1002,7 +1002,7 @@ def add_metrics(
     def add_permutation_importances(
         self,
         permutation_importances,
-        columns: list[str],
+        columns: Sequence[str],
         plot_file: str | Path = "permutation_importances.png",
         plot_name: str = "Permutation Importances",
         overwrite: bool = False,
diff --git a/skops/cli/_convert.py b/skops/cli/_convert.py
index b02bf5f3..7d630c15 100644
--- a/skops/cli/_convert.py
+++ b/skops/cli/_convert.py
@@ -5,6 +5,7 @@
 import os
 import pathlib
 import pickle
+from typing import Optional
 
 from skops.cli._utils import get_log_level
 from skops.io import dumps, get_untrusted_types
@@ -58,7 +59,7 @@ def _convert_file(
 
 
 def format_parser(
-    parser: argparse.ArgumentParser | None = None,
+    parser: Optional[argparse.ArgumentParser] = None,
 ) -> argparse.ArgumentParser:
     """Adds arguments and help to parent CLI parser for the convert method."""
 
diff --git a/skops/io/_audit.py b/skops/io/_audit.py
index 1659395a..d9e7a03b 100644
--- a/skops/io/_audit.py
+++ b/skops/io/_audit.py
@@ -2,19 +2,19 @@
 
 import io
 from contextlib import contextmanager
-from typing import Any, Generator, Iterable, Sequence, Type, Union
+from typing import Any, Dict, Generator, Iterable, List, Optional, Sequence, Type, Union
 
 from ._protocol import PROTOCOL
 from ._utils import LoadContext, get_module, get_type_paths
 from .exceptions import UntrustedTypesFoundException
 
 NODE_TYPE_MAPPING: dict[tuple[str, int], Type[Node]] = {}
-VALID_NODE_CHILD_TYPES = Union[
-    "Node", list["Node"], dict[str, "Node"], Type, str, io.BytesIO, None
+VALID_NODE_CHILD_TYPES = Optional[
+    Union["Node", List["Node"], Dict[str, "Node"], Type, str, io.BytesIO]
 ]
 
 
-def check_type(module_name: str, type_name: str, trusted: list[str]) -> bool:
+def check_type(module_name: str, type_name: str, trusted: Sequence[str]) -> bool:
     """Check if a type is safe to load.
 
     A type is safe to load only if it's present in the trusted list.
@@ -135,7 +135,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Sequence[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
         memoize: bool = True,
     ) -> None:
         self.class_name, self.module_name = state["__class__"], state["__module__"]
@@ -173,8 +173,8 @@ def _construct(self):
 
     @staticmethod
     def _get_trusted(
-        trusted: Sequence[str] | None,
-        default: Sequence[str | type[Any]],
+        trusted: Optional[Sequence[Union[str, Type]]],
+        default: Sequence[Union[str, Type]],
     ) -> list[str]:
         """Return a trusted list, or True.
 
@@ -279,7 +279,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Sequence[str] | None = None,
+        trusted: Optional[List[str]] = None,
     ):
         # we pass memoize as False because we don't want to memoize the cached
         # node.
@@ -303,7 +303,7 @@ def _construct(self):
 def get_tree(
     state: dict[str, Any],
     load_context: LoadContext,
-    trusted: Sequence[str] | None,
+    trusted: Optional[Sequence[str]],
 ) -> Node:
     """Get the tree of nodes.
 
diff --git a/skops/io/_numpy.py b/skops/io/_numpy.py
index 39ec8dcb..f87c8d99 100644
--- a/skops/io/_numpy.py
+++ b/skops/io/_numpy.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import io
-from typing import Any
+from typing import Any, Optional, Sequence
 
 import numpy as np
 
@@ -61,7 +61,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.type = state["type"]
@@ -128,7 +128,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [np.ma.MaskedArray])
@@ -159,7 +159,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         # TODO
@@ -191,7 +191,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.children = {
@@ -242,7 +242,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.children = {
diff --git a/skops/io/_persist.py b/skops/io/_persist.py
index 69a68e08..6dd00e2f 100644
--- a/skops/io/_persist.py
+++ b/skops/io/_persist.py
@@ -4,7 +4,7 @@
 import io
 import json
 from pathlib import Path
-from typing import Any, BinaryIO
+from typing import Any, BinaryIO, Optional, Sequence
 from zipfile import ZIP_STORED, ZipFile
 
 import skops
@@ -113,7 +113,7 @@ def dumps(
     return buffer.getbuffer().tobytes()
 
 
-def load(file: str | Path, trusted: list[str] | None = None) -> Any:
+def load(file: str | Path, trusted: Optional[Sequence[str]] = None) -> Any:
     """Load an object saved with the skops persistence format.
 
     Skops aims at providing a secure persistence feature that does not rely on
@@ -154,7 +154,7 @@ def load(file: str | Path, trusted: list[str] | None = None) -> Any:
     return instance
 
 
-def loads(data: bytes, trusted: list[str] | None = None) -> Any:
+def loads(data: bytes, trusted: Optional[Sequence[str]] = None) -> Any:
     """Load an object saved with the skops persistence format from a bytes
     object.
 
diff --git a/skops/io/_quantile_forest.py b/skops/io/_quantile_forest.py
index 3d512480..d19e7924 100644
--- a/skops/io/_quantile_forest.py
+++ b/skops/io/_quantile_forest.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any
+from typing import Any, Optional, Sequence
 
 from ._protocol import PROTOCOL
 from ._sklearn import ReduceNode, reduce_get_state
@@ -29,7 +29,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         if QuantileForest is None:
             raise ImportError(
diff --git a/skops/io/_scipy.py b/skops/io/_scipy.py
index 6c8ff4dd..e482a1af 100644
--- a/skops/io/_scipy.py
+++ b/skops/io/_scipy.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import io
-from typing import Any
+from typing import Any, Optional, Sequence
 
 from scipy.sparse import load_npz, save_npz, spmatrix
 
@@ -38,7 +38,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.type = state["type"]
diff --git a/skops/io/_visualize.py b/skops/io/_visualize.py
index 9ce3be53..3c3c2c39 100644
--- a/skops/io/_visualize.py
+++ b/skops/io/_visualize.py
@@ -4,7 +4,7 @@
 import json
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any, Callable, Iterator, Literal
+from typing import Any, Callable, Iterator, Literal, Optional, Sequence
 from zipfile import ZipFile
 
 from ._audit import VALID_NODE_CHILD_TYPES, Node, get_tree
@@ -310,7 +310,7 @@ def visualize(
     file: Path | str | bytes,
     *,
     show: Literal["all", "untrusted", "trusted"] = "all",
-    trusted: list[str] | None = None,
+    trusted: Optional[Sequence[str]] = None,
     sink: Callable[..., None] = pretty_print_tree,
     **kwargs: Any,
 ) -> None:
diff --git a/skops/io/old/_general_v0.py b/skops/io/old/_general_v0.py
index 1830925a..4078227c 100644
--- a/skops/io/old/_general_v0.py
+++ b/skops/io/old/_general_v0.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any
+from typing import Any, Optional, Sequence
 
 from skops.io._audit import Node
 from skops.io._trusted_types import SCIPY_UFUNC_TYPE_NAMES
@@ -14,7 +14,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         # TODO: what do we trust?
diff --git a/skops/io/old/_numpy_v0.py b/skops/io/old/_numpy_v0.py
index 7c78b1f7..356f67d2 100644
--- a/skops/io/old/_numpy_v0.py
+++ b/skops/io/old/_numpy_v0.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any
+from typing import Any, Optional, Sequence
 
 import numpy as np
 
@@ -15,7 +15,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.children = {"bit_generator_state": state["content"]["bit_generator"]}
diff --git a/skops/io/old/_numpy_v1.py b/skops/io/old/_numpy_v1.py
index 127f56d0..7e4b2b3e 100644
--- a/skops/io/old/_numpy_v1.py
+++ b/skops/io/old/_numpy_v1.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any
+from typing import Any, Optional, Sequence
 
 import numpy as np
 
@@ -15,7 +15,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: list[str] | None = None,
+        trusted: Optional[Sequence[str]] = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.children = {

From 229d7913e77dc3a43e23c8c476788b7ecef68680 Mon Sep 17 00:00:00 2001
From: adrinjalali <adrin.jalali@gmail.com>
Date: Fri, 17 Apr 2026 09:59:18 +0200
Subject: [PATCH 11/13] merge issues

---
 skops/card/_markup.py        |  6 +++---
 skops/card/_model_card.py    | 14 +++++++-------
 skops/cli/_convert.py        |  3 +--
 skops/io/_audit.py           | 18 +++++++++---------
 skops/io/_general.py         | 34 +++++++++++++++++-----------------
 skops/io/_numpy.py           | 12 ++++++------
 skops/io/_persist.py         |  6 +++---
 skops/io/_quantile_forest.py |  4 ++--
 skops/io/_scipy.py           |  4 ++--
 skops/io/_sklearn.py         | 10 +++++-----
 skops/io/_visualize.py       |  4 ++--
 skops/io/old/_general_v0.py  |  4 ++--
 skops/io/old/_numpy_v0.py    |  4 ++--
 skops/io/old/_numpy_v1.py    |  4 ++--
 14 files changed, 63 insertions(+), 64 deletions(-)

diff --git a/skops/card/_markup.py b/skops/card/_markup.py
index 2e42a25c..d97bac7c 100644
--- a/skops/card/_markup.py
+++ b/skops/card/_markup.py
@@ -5,7 +5,7 @@
 import sys
 from collections.abc import Mapping
 from contextlib import contextmanager
-from typing import Any, Sequence
+from typing import Any
 
 from skops.card._model_card import TableSection
 
@@ -258,13 +258,13 @@ def _table(self, item) -> str:
             # pandoc < 2.5
             columns, body = self._table_old(item)
 
-        table: Mapping[str, Sequence[Any]]
+        table: Mapping[str, list[Any]]
         if not body:
             table = {key: [] for key in columns}
         else:
             # body is row oriented, transpose to column oriented
             data_transposed = zip(*body)
-            table = {key: val for key, val in zip(columns, data_transposed)}
+            table = {key: list(val) for key, val in zip(columns, data_transposed)}
 
         res = TableSection(title="", content="", table=table).format()
         return res
diff --git a/skops/card/_model_card.py b/skops/card/_model_card.py
index b064c54b..16378818 100644
--- a/skops/card/_model_card.py
+++ b/skops/card/_model_card.py
@@ -11,7 +11,7 @@
 from hashlib import sha256
 from pathlib import Path
 from reprlib import Repr
-from typing import Any, Iterator, List, Literal, Optional, Sequence
+from typing import Any, Iterator, Literal
 
 import joblib
 from prettytable import PrettyTable, TableStyle
@@ -178,7 +178,7 @@ def __repr__(self) -> str:
 class TableSection(Section):
     """Adds a table to the model card"""
 
-    table: Mapping[str, Sequence[Any]] = field(default_factory=dict)
+    table: Mapping[str, list[Any]] = field(default_factory=dict)
     folded: bool = False
 
     def __post_init__(self) -> None:
@@ -228,7 +228,7 @@ def __repr__(self) -> str:
 
 
 def _load_model(
-    model: Any, trusted: Optional[Sequence[str]] = None, allow_pickle: bool = False
+    model: Any, trusted: list[str] | None = None, allow_pickle: bool = False
 ) -> Any:
     """Return a model instance.
 
@@ -403,7 +403,7 @@ def __init__(
         model_format: Literal["pickle", "skops"] | None = None,
         model_diagram: bool | Literal["auto"] | str = "auto",
         template: Literal["skops"] | dict[str, str] | None = "skops",
-        trusted: Optional[List[str]] = None,
+        trusted: list[str] | None = None,
         allow_pickle: bool = False,
     ) -> None:
         self.model = model
@@ -535,7 +535,7 @@ def add(self, folded: bool = False, **kwargs: str) -> Self:
         return self
 
     def _select(
-        self, subsection_names: Sequence[str], create: bool = True
+        self, subsection_names: list[str], create: bool = True
     ) -> dict[str, Section]:
         """Select a single section from the data.
 
@@ -629,7 +629,7 @@ def select(self, key: str) -> Section:
         parent_section = self._select(subsection_names, create=False)
         return parent_section[leaf_node_name]
 
-    def delete(self, key: str | Sequence[str]) -> None:
+    def delete(self, key: str | list[str]) -> None:
         """Delete a section from the model card.
 
         To delete a subsection of an existing section, use a ``"/"`` in the
@@ -1002,7 +1002,7 @@ def add_metrics(
     def add_permutation_importances(
         self,
         permutation_importances,
-        columns: Sequence[str],
+        columns: list[str],
         plot_file: str | Path = "permutation_importances.png",
         plot_name: str = "Permutation Importances",
         overwrite: bool = False,
diff --git a/skops/cli/_convert.py b/skops/cli/_convert.py
index 7d630c15..b02bf5f3 100644
--- a/skops/cli/_convert.py
+++ b/skops/cli/_convert.py
@@ -5,7 +5,6 @@
 import os
 import pathlib
 import pickle
-from typing import Optional
 
 from skops.cli._utils import get_log_level
 from skops.io import dumps, get_untrusted_types
@@ -59,7 +58,7 @@ def _convert_file(
 
 
 def format_parser(
-    parser: Optional[argparse.ArgumentParser] = None,
+    parser: argparse.ArgumentParser | None = None,
 ) -> argparse.ArgumentParser:
     """Adds arguments and help to parent CLI parser for the convert method."""
 
diff --git a/skops/io/_audit.py b/skops/io/_audit.py
index d9e7a03b..1659395a 100644
--- a/skops/io/_audit.py
+++ b/skops/io/_audit.py
@@ -2,19 +2,19 @@
 
 import io
 from contextlib import contextmanager
-from typing import Any, Dict, Generator, Iterable, List, Optional, Sequence, Type, Union
+from typing import Any, Generator, Iterable, Sequence, Type, Union
 
 from ._protocol import PROTOCOL
 from ._utils import LoadContext, get_module, get_type_paths
 from .exceptions import UntrustedTypesFoundException
 
 NODE_TYPE_MAPPING: dict[tuple[str, int], Type[Node]] = {}
-VALID_NODE_CHILD_TYPES = Optional[
-    Union["Node", List["Node"], Dict[str, "Node"], Type, str, io.BytesIO]
+VALID_NODE_CHILD_TYPES = Union[
+    "Node", list["Node"], dict[str, "Node"], Type, str, io.BytesIO, None
 ]
 
 
-def check_type(module_name: str, type_name: str, trusted: Sequence[str]) -> bool:
+def check_type(module_name: str, type_name: str, trusted: list[str]) -> bool:
     """Check if a type is safe to load.
 
     A type is safe to load only if it's present in the trusted list.
@@ -135,7 +135,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: Sequence[str] | None = None,
         memoize: bool = True,
     ) -> None:
         self.class_name, self.module_name = state["__class__"], state["__module__"]
@@ -173,8 +173,8 @@ def _construct(self):
 
     @staticmethod
     def _get_trusted(
-        trusted: Optional[Sequence[Union[str, Type]]],
-        default: Sequence[Union[str, Type]],
+        trusted: Sequence[str] | None,
+        default: Sequence[str | type[Any]],
     ) -> list[str]:
         """Return a trusted list, or True.
 
@@ -279,7 +279,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[List[str]] = None,
+        trusted: Sequence[str] | None = None,
     ):
         # we pass memoize as False because we don't want to memoize the cached
         # node.
@@ -303,7 +303,7 @@ def _construct(self):
 def get_tree(
     state: dict[str, Any],
     load_context: LoadContext,
-    trusted: Optional[Sequence[str]],
+    trusted: Sequence[str] | None,
 ) -> Node:
     """Get the tree of nodes.
 
diff --git a/skops/io/_general.py b/skops/io/_general.py
index 0f0abf1f..8437f863 100644
--- a/skops/io/_general.py
+++ b/skops/io/_general.py
@@ -8,7 +8,7 @@
 from functools import partial
 from reprlib import Repr
 from types import FunctionType, MethodType
-from typing import Any, Optional, Sequence
+from typing import Any
 
 import numpy as np
 
@@ -63,7 +63,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [dict, "collections.OrderedDict"])
@@ -103,7 +103,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = ["collections.defaultdict"]
@@ -139,7 +139,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [list])
@@ -171,7 +171,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [set])
@@ -203,7 +203,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [tuple])
@@ -250,7 +250,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         # TODO: what do we trust?
@@ -294,7 +294,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         # TODO: should we trust anything?
@@ -335,7 +335,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         # TODO: what do we trust?
@@ -370,7 +370,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [slice])
@@ -450,7 +450,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.children = {
@@ -468,7 +468,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
 
@@ -532,7 +532,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         obj = get_tree(state["content"]["obj"], load_context, trusted=trusted)
@@ -576,7 +576,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.content = state["content"]
@@ -629,7 +629,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [bytes])
@@ -650,7 +650,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [bytearray])
@@ -680,7 +680,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         if self.module_name != "operator":
diff --git a/skops/io/_numpy.py b/skops/io/_numpy.py
index f87c8d99..39ec8dcb 100644
--- a/skops/io/_numpy.py
+++ b/skops/io/_numpy.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import io
-from typing import Any, Optional, Sequence
+from typing import Any
 
 import numpy as np
 
@@ -61,7 +61,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.type = state["type"]
@@ -128,7 +128,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = self._get_trusted(trusted, [np.ma.MaskedArray])
@@ -159,7 +159,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         # TODO
@@ -191,7 +191,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.children = {
@@ -242,7 +242,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.children = {
diff --git a/skops/io/_persist.py b/skops/io/_persist.py
index 6dd00e2f..69a68e08 100644
--- a/skops/io/_persist.py
+++ b/skops/io/_persist.py
@@ -4,7 +4,7 @@
 import io
 import json
 from pathlib import Path
-from typing import Any, BinaryIO, Optional, Sequence
+from typing import Any, BinaryIO
 from zipfile import ZIP_STORED, ZipFile
 
 import skops
@@ -113,7 +113,7 @@ def dumps(
     return buffer.getbuffer().tobytes()
 
 
-def load(file: str | Path, trusted: Optional[Sequence[str]] = None) -> Any:
+def load(file: str | Path, trusted: list[str] | None = None) -> Any:
     """Load an object saved with the skops persistence format.
 
     Skops aims at providing a secure persistence feature that does not rely on
@@ -154,7 +154,7 @@ def load(file: str | Path, trusted: Optional[Sequence[str]] = None) -> Any:
     return instance
 
 
-def loads(data: bytes, trusted: Optional[Sequence[str]] = None) -> Any:
+def loads(data: bytes, trusted: list[str] | None = None) -> Any:
     """Load an object saved with the skops persistence format from a bytes
     object.
 
diff --git a/skops/io/_quantile_forest.py b/skops/io/_quantile_forest.py
index d19e7924..3d512480 100644
--- a/skops/io/_quantile_forest.py
+++ b/skops/io/_quantile_forest.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any, Optional, Sequence
+from typing import Any
 
 from ._protocol import PROTOCOL
 from ._sklearn import ReduceNode, reduce_get_state
@@ -29,7 +29,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         if QuantileForest is None:
             raise ImportError(
diff --git a/skops/io/_scipy.py b/skops/io/_scipy.py
index e482a1af..6c8ff4dd 100644
--- a/skops/io/_scipy.py
+++ b/skops/io/_scipy.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import io
-from typing import Any, Optional, Sequence
+from typing import Any
 
 from scipy.sparse import load_npz, save_npz, spmatrix
 
@@ -38,7 +38,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.type = state["type"]
diff --git a/skops/io/_sklearn.py b/skops/io/_sklearn.py
index feb8fb63..a5ffe2e1 100644
--- a/skops/io/_sklearn.py
+++ b/skops/io/_sklearn.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any, Optional, Sequence
+from typing import Any
 
 from sklearn.cluster import Birch
 from sklearn.tree._tree import Tree
@@ -154,7 +154,7 @@ def __init__(
         state: dict[str, Any],
         load_context: LoadContext,
         constructor: tuple[str, str],
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         reduce = state["__reduce__"]
@@ -213,7 +213,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         self.trusted = self._get_trusted(trusted, [get_module(Tree) + ".Tree"])
         super().__init__(
@@ -251,7 +251,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         # TODO: make sure trusted here makes sense and used.
         self.trusted = self._get_trusted(
@@ -292,7 +292,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.trusted = [
diff --git a/skops/io/_visualize.py b/skops/io/_visualize.py
index 3c3c2c39..9ce3be53 100644
--- a/skops/io/_visualize.py
+++ b/skops/io/_visualize.py
@@ -4,7 +4,7 @@
 import json
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any, Callable, Iterator, Literal, Optional, Sequence
+from typing import Any, Callable, Iterator, Literal
 from zipfile import ZipFile
 
 from ._audit import VALID_NODE_CHILD_TYPES, Node, get_tree
@@ -310,7 +310,7 @@ def visualize(
     file: Path | str | bytes,
     *,
     show: Literal["all", "untrusted", "trusted"] = "all",
-    trusted: Optional[Sequence[str]] = None,
+    trusted: list[str] | None = None,
     sink: Callable[..., None] = pretty_print_tree,
     **kwargs: Any,
 ) -> None:
diff --git a/skops/io/old/_general_v0.py b/skops/io/old/_general_v0.py
index 4078227c..1830925a 100644
--- a/skops/io/old/_general_v0.py
+++ b/skops/io/old/_general_v0.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any, Optional, Sequence
+from typing import Any
 
 from skops.io._audit import Node
 from skops.io._trusted_types import SCIPY_UFUNC_TYPE_NAMES
@@ -14,7 +14,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         # TODO: what do we trust?
diff --git a/skops/io/old/_numpy_v0.py b/skops/io/old/_numpy_v0.py
index 356f67d2..7c78b1f7 100644
--- a/skops/io/old/_numpy_v0.py
+++ b/skops/io/old/_numpy_v0.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any, Optional, Sequence
+from typing import Any
 
 import numpy as np
 
@@ -15,7 +15,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.children = {"bit_generator_state": state["content"]["bit_generator"]}
diff --git a/skops/io/old/_numpy_v1.py b/skops/io/old/_numpy_v1.py
index 7e4b2b3e..127f56d0 100644
--- a/skops/io/old/_numpy_v1.py
+++ b/skops/io/old/_numpy_v1.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any, Optional, Sequence
+from typing import Any
 
 import numpy as np
 
@@ -15,7 +15,7 @@ def __init__(
         self,
         state: dict[str, Any],
         load_context: LoadContext,
-        trusted: Optional[Sequence[str]] = None,
+        trusted: list[str] | None = None,
     ) -> None:
         super().__init__(state, load_context, trusted)
         self.children = {

From cb6edd094aeaa7fba9d0173c22049b0fd3ebf00d Mon Sep 17 00:00:00 2001
From: adrinjalali <adrin.jalali@gmail.com>
Date: Fri, 17 Apr 2026 10:31:53 +0200
Subject: [PATCH 12/13] fix loss node

---
 skops/io/_sklearn.py           | 18 +++++++++++++++---
 skops/io/tests/test_persist.py |  8 ++++++++
 2 files changed, 23 insertions(+), 3 deletions(-)

diff --git a/skops/io/_sklearn.py b/skops/io/_sklearn.py
index a5ffe2e1..9ead73da 100644
--- a/skops/io/_sklearn.py
+++ b/skops/io/_sklearn.py
@@ -230,18 +230,30 @@ def loss_get_state(obj: Any, save_context: SaveContext) -> dict[str, Any]:
         state = reduce_get_state(obj, save_context)
         state["__loader__"] = "LossNode"
     elif type(obj) == reduce[1][0]:
-        # the output is of the form:
+        # The output is commonly of the form:
         # >>> CyPinballLoss(1).__reduce__()
         # (<cyfunction __pyx_unpickle_CyPinballLoss at 0x7b1d00099ff0>,
         #             (<class '_loss.CyPinballLoss'>, 232784418, (1.0,)))
+        #
+        # CyHalfMultinomialLoss differs slightly and may return a 3-tuple:
+        # >>> CyHalfMultinomialLoss().__reduce__()
+        # (<cyfunction __pyx_unpickle_CyHalfMultinomialLoss at 0x...>,
+        #  (<class '_loss.CyHalfMultinomialLoss'>, 238750788, None), ())
+        #
+        # In that case, the constructor takes no args and the state lives
+        # in reduce[2].
         state = {
             "__class__": obj.__class__.__name__,
             "__module__": get_module(type(obj)),
             "__loader__": "LossNode",
         }
         state["__reduce__"] = {}
-        state["__reduce__"]["args"] = get_state(reduce[1][2], save_context)
-        state["content"] = get_state({}, save_context)
+        if len(reduce) == 3:
+            state["__reduce__"]["args"] = get_state((), save_context)
+            state["content"] = get_state(reduce[2], save_context)
+        else:
+            state["__reduce__"]["args"] = get_state(reduce[1][2], save_context)
+            state["content"] = get_state({}, save_context)
 
     return state
 
diff --git a/skops/io/tests/test_persist.py b/skops/io/tests/test_persist.py
index b94b1b24..97762158 100644
--- a/skops/io/tests/test_persist.py
+++ b/skops/io/tests/test_persist.py
@@ -14,6 +14,7 @@
 import joblib
 import numpy as np
 import pytest
+import sklearn
 from scipy import sparse, special
 from sklearn.base import BaseEstimator, is_regressor
 from sklearn.compose import ColumnTransformer
@@ -444,6 +445,13 @@ def test_can_trust_types(type_):
     assert len(untrusted_types) == 0
 
 
+@pytest.mark.skipif(
+    parse_version(sklearn.__version__) < parse_version("1.4"),
+    reason=(
+        "Before scikit-learn 1.4, GradientBoosting uses different internal loss "
+        "objects (sklearn.ensemble._gb_losses) that are not supported as trusted types."
+    ),
+)
 @pytest.mark.parametrize(
     ("estimator", "problem_type"),
     [

From 4b455378d8a4e7416512d13cbfeee2519db730b5 Mon Sep 17 00:00:00 2001
From: adrinjalali <adrin.jalali@gmail.com>
Date: Fri, 17 Apr 2026 11:40:44 +0200
Subject: [PATCH 13/13] docstring

---
 .gitignore                     | 4 ++++
 skops/io/tests/test_persist.py | 3 +++
 2 files changed, 7 insertions(+)

diff --git a/.gitignore b/.gitignore
index 7dc6c890..4d27ec8c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -122,3 +122,7 @@ node_modules
 
 exports
 trash
+
+# Claude
+CLAUDE.md
+.claude/
diff --git a/skops/io/tests/test_persist.py b/skops/io/tests/test_persist.py
index 97762158..6b8eed41 100644
--- a/skops/io/tests/test_persist.py
+++ b/skops/io/tests/test_persist.py
@@ -503,6 +503,9 @@ def test_can_trust_types(type_):
     ],
 )
 def test_gradient_boosting_estimators_have_no_untrusted_types(estimator, problem_type):
+    """Fitted GB/HGB models should save and load without any untrusted types,
+    even though they contain non-public sklearn internals (loss functions, link
+    functions, Cython loss classes, _BinMapper, TreePredictor)."""
     set_random_state(estimator, random_state=0)
 
     if problem_type == "binary":