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From: Roland Mas <roland.mas@entierement.net>
Date: Sun, 4 May 2025 14:51:07 +0200
Subject: Use float64 instead of float_ for Numpy2 compatibility
---
Orange/data/io_base.py | 4 ++--
Orange/data/util.py | 2 +-
2 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/Orange/data/io_base.py b/Orange/data/io_base.py
index 4b0b74e..df3d715 100644
--- a/Orange/data/io_base.py
+++ b/Orange/data/io_base.py
@@ -381,7 +381,7 @@ class _TableBuilder:
(self.cols_W, float))
X, Y, M, W = [self._list_into_ndarray(lst, dt) for lst, dt in lists]
if X is None:
- X = np.empty((self.data.shape[0], 0), dtype=np.float_)
+ X = np.empty((self.data.shape[0], 0), dtype=np.float64)
return X, Y, M, W
@staticmethod
@@ -393,7 +393,7 @@ class _TableBuilder:
if dtype is not None:
array.astype(dtype)
else:
- assert array.dtype == np.float_
+ assert array.dtype == np.float64
return array
diff --git a/Orange/data/util.py b/Orange/data/util.py
index bee1f7f..79bacea 100644
--- a/Orange/data/util.py
+++ b/Orange/data/util.py
@@ -50,7 +50,7 @@ def scale(values, min=0, max=1):
"""Return values scaled to [min, max]"""
if len(values) == 0:
return np.array([])
- minval = np.float_(bn.nanmin(values))
+ minval = np.float64(bn.nanmin(values))
ptp = bn.nanmax(values) - minval
if ptp == 0:
return np.clip(values, min, max)
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