From 2d2f5347a619d6f240da682c64d85b730daa9522 Mon Sep 17 00:00:00 2001
From: Michael Osthege <m.osthege@fz-juelich.de>
Date: Wed, 15 Apr 2026 17:51:47 +0200
Subject: [PATCH] Remove deprecated kwargs

---
 calibr8/core.py     | 12 ------------
 calibr8/test_all.py |  3 ---
 2 files changed, 15 deletions(-)

diff --git a/calibr8/core.py b/calibr8/core.py
index 1f7c041..2640818 100644
--- a/calibr8/core.py
+++ b/calibr8/core.py
@@ -482,8 +482,6 @@ def loglikelihood(
         y,
         x,
         name: Optional[str] = None,
-        replicate_id: Optional[str] = None,
-        dependent_key: Optional[str] = None,
         theta=None,
         **dist_kwargs,
     ):
@@ -503,10 +501,6 @@ def loglikelihood(
         name : str
             Name for the likelihood variable in a PyMC model (tensor mode).
             Previously this was `f'{replicate_id}.{dependent_key}'`.
-        replicate_id : optional, str
-            Deprecated; pass the `name` kwarg instead.
-        dependent_key : optional, str
-            Deprecated; pass the `name` kwarg instead.
         theta : optional, array-like
             Parameters for the calibration model to use instead of `theta_fitted`.
             The vector must have the correct length, but can have numeric and or symbolic entries.
@@ -540,12 +534,6 @@ def loglikelihood(
 
             pmodel = pm.Model.get_context(error_if_none=False)
             if pmodel is not None:
-                if replicate_id and dependent_key:
-                    warnings.warn(
-                        "The `replicate_id` and `dependent_key` parameters are deprecated. Use `name` instead.",
-                        DeprecationWarning,
-                    )
-                    name = f"{replicate_id}.{dependent_key}"
                 if not name:
                     raise ValueError("A `name` must be specified for the PyMC likelihood.")
                 rv = self.pymc_dist(name, **self.to_pymc(*params), observed=y, **dist_kwargs or {})
diff --git a/calibr8/test_all.py b/calibr8/test_all.py
index 3d286b3..373123a 100644
--- a/calibr8/test_all.py
+++ b/calibr8/test_all.py
@@ -474,9 +474,6 @@ def test_symbolic_loglikelihood_checks_and_warnings(self):
             x_hat = pm.Uniform("x_hat", shape=5)
             with pytest.raises(ValueError, match="`name` must be specified"):
                 cmodel.loglikelihood(x=x_hat, y=y_obs)
-
-            with pytest.warns(DeprecationWarning, match="Use `name` instead"):
-                cmodel.loglikelihood(x=x_hat, y=y_obs, replicate_id="A01", dependent_key="A")
         pass
 
     @pytest.mark.skipif(not HAS_PYMC, reason="requires PyMC")