Merge branch 'release/4.0.0rc2'

Author: hbredin

doc/Makefile

@@ -4,7 +4,7 @@
 # You can set these variables from the command line.
 SPHINXOPTS    =
 SPHINXBUILD   = sphinx-build
-SPHINXPROJ    = pyannotecore
+SPHINXPROJ    = pyannotemetrics
 SOURCEDIR     = source
 BUILDDIR      = build
 

doc/source/changelog.rst

@@ -2,9 +2,10 @@
 Changelog
 #########
 
-Version 4.0.0rc1 (2025-02-11)
+Version 4.0.0rc2 (2025-02-19)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
+- fix: remove deprecated use of `np.NaN`
 - BREAKING: drop support to `Python` < 3.10
 - BREAKING: switch to native namespace package 
 - setup: switch to `uv`

src/pyannote/metrics/base.py

@@ -164,7 +164,7 @@ def report(self, display: bool = False) -> pd.DataFrame:
                         if total > 0:
                             row[key, "%"] = 100 * value / total
                         else:
-                            row[key, "%"] = np.NaN
+                            row[key, "%"] = np.nan
 
             report.append(row)
             uris.append(uri)
@@ -186,7 +186,7 @@ def report(self, display: bool = False) -> pd.DataFrame:
                     if total > 0:
                         row[key, "%"] = 100 * value / total
                     else:
-                        row[key, "%"] = np.NaN
+                        row[key, "%"] = np.nan
 
         row[self.name, "%"] = 100 * abs(self)
         report.append(row)

src/pyannote/metrics/spotting.py

@@ -166,8 +166,8 @@ def _variable_latency(self, reference: Union[Timeline, Annotation],
                           **kwargs) -> Details:
 
         # pre-compute latencies
-        speaker_latency = np.NAN * np.ones((len(timestamps), 1))
-        absolute_latency = np.NAN * np.ones((len(timestamps), 1))
+        speaker_latency = np.nan * np.ones((len(timestamps), 1))
+        absolute_latency = np.nan * np.ones((len(timestamps), 1))
         if isinstance(reference, Annotation):
             reference = reference.get_timeline(copy=False)
         if reference:
@@ -206,8 +206,8 @@ def _variable_latency(self, reference: Union[Timeline, Annotation],
             target_trial = False
 
             # the notion of "latency" is not applicable to non-target trials
-            absolute_latency = np.NAN
-            speaker_latency = np.NAN
+            absolute_latency = np.nan
+            speaker_latency = np.nan
 
         return {
             SPOTTING_TARGET: target_trial,