From d92daef05552d9875194aff4688ca3aac7bdc667 Mon Sep 17 00:00:00 2001
From: Michael Osthege <m.osthege@fz-juelich.de>
Date: Wed, 13 Aug 2025 14:13:21 +0200
Subject: [PATCH] Use `pm.Data` instead of deprecated `pm.ConstantData`

---
 bletl/growth.py                                        | 10 +++++-----
 ...ayesian Analysis of time-Variable Growth Rate.ipynb |  2 +-
 pyproject.toml                                         |  2 +-
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/bletl/growth.py b/bletl/growth.py
index 1a0a96a..8f818e5 100644
--- a/bletl/growth.py
+++ b/bletl/growth.py
@@ -352,10 +352,10 @@ def fit_mu_t(
         "segment": numpy.arange(TS),
     }
     with pm.Model(coords=coords) as pmodel:
-        pm.ConstantData("known_switchpoints", t_switchpoints_known)
-        pm.ConstantData("t_data", t_data, dims="timepoint")
-        pm.ConstantData("t_segments", t_segments, dims="segment")
-        dt = pm.ConstantData("dt", numpy.diff(t_data), dims="segment")
+        pm.Data("known_switchpoints", t_switchpoints_known)
+        pm.Data("t_data", t_data, dims="timepoint")
+        pm.Data("t_segments", t_segments, dims="segment")
+        dt = pm.Data("dt", numpy.diff(t_data), dims="segment")
 
         # The init dist for the random walk is where each segment starts.
         # Here we center it on the user-provided mu_prior,
@@ -428,7 +428,7 @@ def fit_mu_t(
         )
         calibration_model.loglikelihood(
             x=Xt,
-            y=pm.ConstantData("backscatter", y, dims=("timepoint",)),
+            y=pm.Data("backscatter", y, dims=("timepoint",)),
             name=f"{replicate_id}_{calibration_model.dependent_key}",
             dims="timepoint",
         )
diff --git a/notebooks/Quickstart_04_Bayesian Analysis of time-Variable Growth Rate.ipynb b/notebooks/Quickstart_04_Bayesian Analysis of time-Variable Growth Rate.ipynb
index 8c3cf53..448050c 100644
--- a/notebooks/Quickstart_04_Bayesian Analysis of time-Variable Growth Rate.ipynb	
+++ b/notebooks/Quickstart_04_Bayesian Analysis of time-Variable Growth Rate.ipynb	
@@ -303,7 +303,7 @@
    "outputs": [
     {
      "data": {
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diff --git a/pyproject.toml b/pyproject.toml
index 81462c3..3a4cd51 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "bletl"
-version = "1.6.0"
+version = "1.6.1"
 description = "Package for parsing and transforming BioLector raw data."
 readme = "README.md"
 requires-python = ">=3.8"