fix: use np.asarray in meter curves for NumPy 2

python/fasttext_module/fasttext/FastText.py

@@ -38,7 +38,7 @@ def score_vs_true(self, label):
         else:
             y_scores, y_true = ([], ())
 
-        return np.array(y_scores, copy=False), np.array(y_true, copy=False)
+        return np.asarray(y_scores), np.asarray(y_true)
 
     def precision_recall_curve(self, label=None):
         """Return precision/recall curve"""
@@ -53,7 +53,7 @@ def precision_recall_curve(self, label=None):
         else:
             precision, recall = ([], ())
 
-        return np.array(precision, copy=False), np.array(recall, copy=False)
+        return np.asarray(precision), np.asarray(recall)
 
     def precision_at_recall(self, recall, label=None):
         """Return precision for a given recall"""

python/fasttext_module/fasttext/tests/test_meter.py

@@ -0,0 +1,21 @@
+# SPDX-FileContributor: Arthit Suriyawongkul
+# SPDX-FileCopyrightText: 2026-present, fasttext-community
+# SPDX-FileType: SOURCE
+# SPDX-License-Identifier: MIT
+
+"""Meter curves must work with NumPy 2 (np.array copy=False raises there)."""
+
+import numpy as np
+
+from .helpers import build_supervised_model, get_random_data
+
+
+def test_meter_returns_arrays(tmp_path):
+    data = get_random_data(100)
+    # thread=12: thread <= 10 leaves the input matrix partly uninitialized.
+    model = build_supervised_model(data, {"thread": 12})
+    path = tmp_path / "test.txt"
+    path.write_text("".join(f"__label__{line}\n" for line in data))
+    meter = model.get_meter(str(path))
+    for pair in (meter.score_vs_true(model.labels[0]), meter.precision_recall_curve()):
+        assert all(isinstance(a, np.ndarray) for a in pair)