From 896df137db672707e8e8de03655fb8e68116b84a Mon Sep 17 00:00:00 2001
From: Hugo Buddelmeijer <hugo@buddelmeijer.nl>
Date: Mon, 18 Sep 2023 19:11:46 +0200
Subject: [PATCH] Fix deprecation warnings
---
setup.cfg | 4 +++-
src/micado/main/ImstatExtra.py | 10 +++++-----
2 files changed, 8 insertions(+), 6 deletions(-)
diff --git a/setup.cfg b/setup.cfg
index 5211331a4..a12e0af83 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -2,8 +2,10 @@
filterwarnings =
error
# Triggered by ScopeSIM:
- ignore:In a future version top level function calls will be removed:DeprecationWarning:scopesim
+ ignore:In a future version top level function calls will be removed:DeprecationWarning
ignore:Please use `zoom`:DeprecationWarning:scopesim
+ ignore:`np.bool8` is a deprecated alias for `np.bool_`:DeprecationWarning
+ ignore:Conversion of an array with ndim > 0 to a scalar is deprecated:DeprecationWarning
# Dividing by 0:
ignore:invalid value encountered in true_divide:RuntimeWarning
ignore:invalid value encountered in divide:RuntimeWarning
diff --git a/src/micado/main/ImstatExtra.py b/src/micado/main/ImstatExtra.py
index 23e500299..78ac35d6f 100644
--- a/src/micado/main/ImstatExtra.py
+++ b/src/micado/main/ImstatExtra.py
@@ -22,8 +22,8 @@ class ImstatExtra(MObject):
# in particular in combination with storing to FITS files and
# reading the number back. At least for certain combinations
# of numpy and astropy, e.g. 1.21.1 and 4.3.post1.
- self.min = fitsfloat(float(numpy.round_(numpy.min(images), 14)))
- self.max = fitsfloat(float(numpy.round_(numpy.max(images), 14)))
- self.mean = fitsfloat(float(numpy.round_(numpy.mean(images), 14)))
- self.std = fitsfloat(float(numpy.round_(numpy.std(images), 14)))
- self.median = fitsfloat(float(numpy.round_(numpy.median(images), 14)))
+ self.min = fitsfloat(float(numpy.round(numpy.min(images), 14)))
+ self.max = fitsfloat(float(numpy.round(numpy.max(images), 14)))
+ self.mean = fitsfloat(float(numpy.round(numpy.mean(images), 14)))
+ self.std = fitsfloat(float(numpy.round(numpy.std(images), 14)))
+ self.median = fitsfloat(float(numpy.round(numpy.median(images), 14)))
--
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