From b5fa48864e606564d3f0a61fa6e45c8ee158246d Mon Sep 17 00:00:00 2001
From: Shreyas Singh <shreyashsingh31@gmail.com>
Date: Sun, 12 Mar 2023 03:40:08 +0530
Subject: [PATCH 1/4] Remove auto argument from Deterministic

---
 pymc/model.py | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/pymc/model.py b/pymc/model.py
index 6be9dd69fe..b42670434d 100644
--- a/pymc/model.py
+++ b/pymc/model.py
@@ -2012,9 +2012,6 @@ def Deterministic(name, var, model=None, dims=None):
     ----------
     name: str
     var: PyTensor variables
-    auto: bool
-        Add automatically created deterministics (e.g., when imputing missing values)
-        to a separate model.auto_deterministics list for filtering during sampling.
 
 
     Returns

From dfa25999568572e3b2a5ab0be0adb9a1646ff40b Mon Sep 17 00:00:00 2001
From: Shreyas Singh <shreyashsingh31@gmail.com>
Date: Sun, 12 Mar 2023 21:42:37 +0530
Subject: [PATCH 2/4] Add missing arguments in the deterministic docstring as
 per numpydoc style guide

---
 pymc/model.py | 29 +++++++++++++++++++----------
 1 file changed, 19 insertions(+), 10 deletions(-)

diff --git a/pymc/model.py b/pymc/model.py
index b42670434d..595782fd47 100644
--- a/pymc/model.py
+++ b/pymc/model.py
@@ -1967,6 +1967,25 @@ def Deterministic(name, var, model=None, dims=None):
     they don't add randomness to the model.  They are generally used to record
     an intermediary result.
 
+    Parameters
+    ----------
+    name: str
+        Name of the deterministic variable to be registered in the model.
+    var: tensor_like
+        Expression for the calculation of the variable.
+    model : Model, optional
+        The model object to which the Deterministic function is added.
+        If ``None`` is provided, the current model in the context stack is used.
+    dims : str or tuple of str, optional
+        Dimension names for the variable.
+
+    Returns
+    -------
+    var: tensor_like
+        The registered, named variable wrapped in Deterministic.
+
+    Examples
+    --------
     Indeed, PyMC allows for arbitrary combinations of random variables, for
     example in the case of a logistic regression
 
@@ -2007,16 +2026,6 @@ def Deterministic(name, var, model=None, dims=None):
     of times during a NUTS step, the Deterministic quantities are just
     computeed once at the end of the step, with the final values of the other
     random variables.
-
-    Parameters
-    ----------
-    name: str
-    var: PyTensor variables
-
-
-    Returns
-    -------
-    var: var, with name attribute
     """
     model = modelcontext(model)
     var = var.copy(model.name_for(name))

From 605e2e75dc008ee90f12412d301d8e2ef9b5944a Mon Sep 17 00:00:00 2001
From: Shreyas Singh <shreyashsingh31@gmail.com>
Date: Sun, 12 Mar 2023 21:44:00 +0530
Subject: [PATCH 3/4] Add missing arguments in the Potential docstring

---
 pymc/model.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/pymc/model.py b/pymc/model.py
index 595782fd47..c66026650e 100644
--- a/pymc/model.py
+++ b/pymc/model.py
@@ -2065,7 +2065,9 @@ def Potential(name, var, model=None, dims=None):
         Expression to be added to the model joint logp.
     model : Model, optional
         The model object to which the potential function is added.
-        If ``None`` is provided, the current model is used.
+        If ``None`` is provided, the current model in the context stack is used.
+    dims : str or tuple of str, optional
+        Dimension names for the variable.
 
     Returns
     -------

From 3298083816b3edc145ebad65810fc9ea96aed64c Mon Sep 17 00:00:00 2001
From: Michael Osthege <michael.osthege@outlook.com>
Date: Mon, 13 Mar 2023 00:08:42 +0100
Subject: [PATCH 4/4] Add spaces around colons

---
 pymc/model.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/pymc/model.py b/pymc/model.py
index c66026650e..3bcdaa8d3c 100644
--- a/pymc/model.py
+++ b/pymc/model.py
@@ -1969,19 +1969,19 @@ def Deterministic(name, var, model=None, dims=None):
 
     Parameters
     ----------
-    name: str
+    name : str
         Name of the deterministic variable to be registered in the model.
-    var: tensor_like
+    var : tensor_like
         Expression for the calculation of the variable.
     model : Model, optional
-        The model object to which the Deterministic function is added.
+        The model object to which the Deterministic variable is added.
         If ``None`` is provided, the current model in the context stack is used.
     dims : str or tuple of str, optional
         Dimension names for the variable.
 
     Returns
     -------
-    var: tensor_like
+    var : tensor_like
         The registered, named variable wrapped in Deterministic.
 
     Examples