From ecf50e72a7161ea4bbd0fdbc23603ed0bd5d910c Mon Sep 17 00:00:00 2001
From: Gene Dan <genedan@gmail.com>
Date: Wed, 8 Jul 2026 11:09:42 -0500
Subject: [PATCH 01/17] FIX: Fix doctest.

---
 .github/workflows/pytest.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml
index 266dcbf4..65cffdf1 100644
--- a/.github/workflows/pytest.yml
+++ b/.github/workflows/pytest.yml
@@ -76,4 +76,4 @@ jobs:
       - name: Install dependencies
         run: uv sync --extra docs
       - name: Run doctests
-        run: uv run --directory docs jb build . --builder=custom --custom-builder=doctest
+        run: uv run --directory docs sphinx-build -b doctest . _build/doctest

From c3e839eb9237209c38d1206962b660373126f207 Mon Sep 17 00:00:00 2001
From: Gene Dan <genedan@gmail.com>
Date: Wed, 8 Jul 2026 11:44:19 -0500
Subject: [PATCH 02/17] FIX: Fix doctest.

---
 .github/workflows/pytest.yml | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml
index 65cffdf1..459ec988 100644
--- a/.github/workflows/pytest.yml
+++ b/.github/workflows/pytest.yml
@@ -75,5 +75,11 @@ jobs:
           python-version: "3.12"
       - name: Install dependencies
         run: uv sync --extra docs
+      - name: Generate autosummary stubs
+        # sphinx-build decides which documents the doctest builder will test
+        # *before* the autosummary extension has generated library/generated/*.rst
+        # (those files are gitignored, so they don't exist on a fresh checkout).
+        # Without this, every class/method docstring page is silently skipped.
+        run: uv run --directory docs sphinx-autogen -o library/generated library/api.md
       - name: Run doctests
         run: uv run --directory docs sphinx-build -b doctest . _build/doctest

From c0c9c57381cb1c22c2a3997619f0bdc15713b5b8 Mon Sep 17 00:00:00 2001
From: Gene Dan <genedan@gmail.com>
Date: Wed, 8 Jul 2026 11:59:23 -0500
Subject: [PATCH 03/17] FIX: Fix doctest.

---
 .github/workflows/pytest.yml | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml
index 459ec988..392cdb6f 100644
--- a/.github/workflows/pytest.yml
+++ b/.github/workflows/pytest.yml
@@ -76,10 +76,6 @@ jobs:
       - name: Install dependencies
         run: uv sync --extra docs
       - name: Generate autosummary stubs
-        # sphinx-build decides which documents the doctest builder will test
-        # *before* the autosummary extension has generated library/generated/*.rst
-        # (those files are gitignored, so they don't exist on a fresh checkout).
-        # Without this, every class/method docstring page is silently skipped.
         run: uv run --directory docs sphinx-autogen -o library/generated library/api.md
       - name: Run doctests
-        run: uv run --directory docs sphinx-build -b doctest . _build/doctest
+        run: uv run --directory docs jb build . --builder=custom --custom-builder=doctest

From 7f5ae19520b2918b685efd255126c32ef35e99f4 Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Wed, 8 Jul 2026 23:07:20 -0700
Subject: [PATCH 04/17] Update common.py

---
 chainladder/core/common.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/chainladder/core/common.py b/chainladder/core/common.py
index 77f84d51..5b0dae75 100644
--- a/chainladder/core/common.py
+++ b/chainladder/core/common.py
@@ -174,6 +174,17 @@ def pipe(self, func, *args, **kwargs):
         >>> import chainladder as cl
         >>> raa = cl.load_sample('raa')
         >>> raa.pipe(lambda tri: tri.loc[..., 48:])
+                  48       60       72       84       96       108      120
+        1981  11805.0  13539.0  16181.0  18009.0  18608.0  18662.0  18834.0
+        1982  10666.0  13782.0  15599.0  15496.0  16169.0  16704.0      NaN
+        1983  16141.0  18735.0  22214.0  22863.0  23466.0      NaN      NaN
+        1984  21266.0  23425.0  26083.0  27067.0      NaN      NaN      NaN
+        1985  22169.0  25955.0  26180.0      NaN      NaN      NaN      NaN
+        1986  12935.0  15852.0      NaN      NaN      NaN      NaN      NaN
+        1987  12314.0      NaN      NaN      NaN      NaN      NaN      NaN
+        1988      NaN      NaN      NaN      NaN      NaN      NaN      NaN
+        1989      NaN      NaN      NaN      NaN      NaN      NaN      NaN
+        1990      NaN      NaN      NaN      NaN      NaN      NaN      NaN
         """
         return func(self, *args, **kwargs)
 

From a8494e1b9c0ae03f920475e2f5434c24673b8984 Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Wed, 8 Jul 2026 23:11:58 -0700
Subject: [PATCH 05/17] Update bornferg.py

---
 chainladder/methods/bornferg.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/chainladder/methods/bornferg.py b/chainladder/methods/bornferg.py
index 695a6f49..236b6244 100644
--- a/chainladder/methods/bornferg.py
+++ b/chainladder/methods/bornferg.py
@@ -123,6 +123,7 @@ def fit(self, X, y=None, sample_weight=None):
         Fit returns the estimator itself, with ``ultimate_`` populated.
 
         .. testsetup::
+        
             import chainladder as cl
 
         .. testcode::
@@ -160,6 +161,7 @@ def predict(self, X, sample_weight=None):
         current Triangle and a refreshed apriori.
 
         .. testsetup::
+        
             import chainladder as cl
 
         .. testcode::

From b185c518b99d560ec16a866fe15f04f9245bedb8 Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Wed, 8 Jul 2026 23:14:26 -0700
Subject: [PATCH 06/17] Update clark.py

---
 chainladder/development/clark.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/chainladder/development/clark.py b/chainladder/development/clark.py
index 6a39e3ad..2589f36d 100644
--- a/chainladder/development/clark.py
+++ b/chainladder/development/clark.py
@@ -142,7 +142,7 @@ class ClarkLDF(DevelopmentBase):
 
         775
                   CumPaidLoss
-        LOB
+        LOB                  
         comauto         1.082
         medmal          1.889
         othliab         1.468
@@ -150,12 +150,12 @@ class ClarkLDF(DevelopmentBase):
         prodliab        1.441
         wkcomp          1.107
                   CumPaidLoss
-        LOB
+        LOB                  
         comauto        20.481
-        medmal         35.128
-        othliab        37.745
+        medmal         35.130
+        othliab        37.746
         ppauto         10.023
-        prodliab       64.352
+        prodliab       64.347
         wkcomp         20.111
 
     """

From 66347faa6a19e8a0060a49ba303d5c3d86d8539d Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Wed, 8 Jul 2026 23:16:35 -0700
Subject: [PATCH 07/17] Update capecod.py

---
 chainladder/methods/capecod.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/chainladder/methods/capecod.py b/chainladder/methods/capecod.py
index 4175e2ae..1470104d 100644
--- a/chainladder/methods/capecod.py
+++ b/chainladder/methods/capecod.py
@@ -218,7 +218,7 @@ def fit(self, X, y=None, sample_weight=None):
             exposure = cl.Chainladder().fit(tr).ultimate_ * 0 + 20000
             print(cl.CapeCod(trend=0.05).fit(tr, sample_weight=exposure))
 
-        .. testoutput:
+        .. testoutput::
 
             CapeCod(trend=0.05)
         """

From 7edf2490e2ca375737b7bb531d64108065ced573 Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Wed, 8 Jul 2026 23:18:50 -0700
Subject: [PATCH 08/17] Update benktander.py

---
 chainladder/methods/benktander.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/chainladder/methods/benktander.py b/chainladder/methods/benktander.py
index a83536dd..78b40ff5 100644
--- a/chainladder/methods/benktander.py
+++ b/chainladder/methods/benktander.py
@@ -218,6 +218,7 @@ def predict(self, X, sample_weight=None):
         current Triangle and a refreshed apriori.
 
         .. testsetup::
+        
             import chainladder as cl
 
         .. testcode::

From 8078da9e15fbe68aa9c517741d3bb191eddeacec Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Wed, 8 Jul 2026 23:19:36 -0700
Subject: [PATCH 09/17] Update chainladder.py

---
 chainladder/methods/chainladder.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/chainladder/methods/chainladder.py b/chainladder/methods/chainladder.py
index 893933f3..d945242a 100644
--- a/chainladder/methods/chainladder.py
+++ b/chainladder/methods/chainladder.py
@@ -124,6 +124,7 @@ def fit(self, X, y=None, sample_weight=None):
         attribute access.
 
         .. testsetup::
+        
             import chainladder as cl
 
         .. testcode::

From bfb6b36f3431eb5773ff2ff0767c8542dc15e039 Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Wed, 8 Jul 2026 23:24:40 -0700
Subject: [PATCH 10/17] Update chainladder.py

---
 chainladder/methods/chainladder.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/chainladder/methods/chainladder.py b/chainladder/methods/chainladder.py
index d945242a..2ab4ca61 100644
--- a/chainladder/methods/chainladder.py
+++ b/chainladder/methods/chainladder.py
@@ -130,7 +130,7 @@ def fit(self, X, y=None, sample_weight=None):
         .. testcode::
 
             tr = cl.load_sample('ukmotor')
-            cl.Chainladder().fit(tr)
+            print(cl.Chainladder().fit(tr))
 
         .. testoutput::
 

From 7ca0a66050d6e027857e127a302e8c5549ba456d Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Wed, 8 Jul 2026 23:36:57 -0700
Subject: [PATCH 11/17] Update bornferg.py

---
 chainladder/methods/bornferg.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/chainladder/methods/bornferg.py b/chainladder/methods/bornferg.py
index 236b6244..3165cd72 100644
--- a/chainladder/methods/bornferg.py
+++ b/chainladder/methods/bornferg.py
@@ -176,7 +176,7 @@ def predict(self, X, sample_weight=None):
 
             print(model.predict(tr, sample_weight=apriori).ultimate_)
 
-        .. testoutput
+        .. testoutput::
 
                           2261
             2007  12690.000000

From 327cbd1d5028eaf08ac81677ddf96d8cfb246e1f Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Thu, 9 Jul 2026 21:18:33 -0700
Subject: [PATCH 12/17] Update bornferg.py

---
 chainladder/methods/bornferg.py | 13 ++++---------
 1 file changed, 4 insertions(+), 9 deletions(-)

diff --git a/chainladder/methods/bornferg.py b/chainladder/methods/bornferg.py
index 3165cd72..1528c4bb 100644
--- a/chainladder/methods/bornferg.py
+++ b/chainladder/methods/bornferg.py
@@ -53,9 +53,7 @@ class BornhuetterFerguson(Benktander):
 
         raa = cl.load_sample("raa")
         premium = raa.latest_diagonal * 0 + 40_000  # zero out and add 40,000 to each origin
-
-        ibnr = cl.BornhuetterFerguson(apriori=0.7).fit(X=raa, sample_weight=premium).ibnr_
-        print(ibnr)
+        cl.BornhuetterFerguson(apriori=0.7).fit(X=raa, sample_weight=premium).ibnr_
 
     .. testoutput::
 
@@ -77,9 +75,7 @@ class BornhuetterFerguson(Benktander):
 
         raa = cl.load_sample("raa")
         premium = raa.latest_diagonal * 0 + 40_000 * 0.7  # premium is modified by 70%
-
-        ibnr = cl.BornhuetterFerguson().fit(X=raa, sample_weight=premium).ibnr_
-        print(ibnr)
+        cl.BornhuetterFerguson().fit(X=raa, sample_weight=premium).ibnr_
 
     .. testoutput::
 
@@ -130,7 +126,7 @@ def fit(self, X, y=None, sample_weight=None):
 
             tr = cl.load_sample('ukmotor')
             apriori = cl.Chainladder().fit(tr).ultimate_ * 0 + 14000
-            print(cl.BornhuetterFerguson(apriori=1.0).fit(tr, sample_weight=apriori))
+            cl.BornhuetterFerguson(apriori=1.0).fit(tr, sample_weight=apriori)
 
         .. testoutput::
 
@@ -173,8 +169,7 @@ def predict(self, X, sample_weight=None):
             model = cl.BornhuetterFerguson(apriori=1.0).fit(
                 tr_prior, sample_weight=apriori_prior
             )
-
-            print(model.predict(tr, sample_weight=apriori).ultimate_)
+            model.predict(tr, sample_weight=apriori).ultimate_
 
         .. testoutput::
 

From bf9a4f4882cf806b5d264a4864ef1447bf6ca22f Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Thu, 9 Jul 2026 21:20:44 -0700
Subject: [PATCH 13/17] Update benktander.py

---
 chainladder/methods/benktander.py | 17 +++++------------
 1 file changed, 5 insertions(+), 12 deletions(-)

diff --git a/chainladder/methods/benktander.py b/chainladder/methods/benktander.py
index 78b40ff5..3803a983 100644
--- a/chainladder/methods/benktander.py
+++ b/chainladder/methods/benktander.py
@@ -52,9 +52,7 @@ class Benktander(MethodBase):
     .. testcode::
 
         xyz = cl.load_sample("xyz")
-
-        ibnr = cl.Benktander().fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal).ibnr_
-        print(ibnr)
+        cl.Benktander().fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal).ibnr_
 
     .. testoutput::
 
@@ -76,7 +74,6 @@ class Benktander(MethodBase):
     .. testcode::
 
         xyz = cl.load_sample("xyz")
-
         bk_ibnr = (
             cl.Benktander(n_iters=1)
             .fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal)
@@ -87,7 +84,7 @@ class Benktander(MethodBase):
             .fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal)
             .ibnr_
         )
-        print(bk_ibnr - bf_ibnr)
+        bk_ibnr - bf_ibnr
 
     .. testoutput::
 
@@ -109,10 +106,9 @@ class Benktander(MethodBase):
     .. testcode::
 
         xyz = cl.load_sample("xyz")
-
         bk_ibnr = cl.Benktander(n_iters=1000).fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal).ibnr_
         cl_ibnr = cl.Chainladder().fit(xyz["Paid"]).ibnr_
-        print(bk_ibnr - cl_ibnr)
+        bk_ibnr - cl_ibnr
 
     .. testoutput::
 
@@ -165,13 +161,11 @@ def fit(self, X, y=None, sample_weight=None):
         .. testcode::
 
             xyz = cl.load_sample("xyz")
-
-            ultimate = (
+            (
                 cl.Benktander(apriori=1, n_iters=2)
                 .fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal)
                 .ultimate_
             )
-            print(ultimate)
 
         .. testoutput::
 
@@ -230,8 +224,7 @@ def predict(self, X, sample_weight=None):
             model = cl.Benktander(apriori=1.0, n_iters=2).fit(
                 tr_prior, sample_weight=apriori_prior
             )
-
-            print(model.predict(tr, sample_weight=apriori).ultimate_)
+            model.predict(tr, sample_weight=apriori).ultimate_
 
         .. testoutput::
 

From 0275df8af62f5bc69b09d2690c95ac939d905fe8 Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Thu, 9 Jul 2026 21:32:41 -0700
Subject: [PATCH 14/17] Update benktander.py

---
 chainladder/methods/benktander.py | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/chainladder/methods/benktander.py b/chainladder/methods/benktander.py
index 3803a983..bcf84390 100644
--- a/chainladder/methods/benktander.py
+++ b/chainladder/methods/benktander.py
@@ -52,7 +52,8 @@ class Benktander(MethodBase):
     .. testcode::
 
         xyz = cl.load_sample("xyz")
-        cl.Benktander().fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal).ibnr_
+        ibnr = cl.Benktander().fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal).ibnr_
+        print(ibnr)
 
     .. testoutput::
 
@@ -84,7 +85,7 @@ class Benktander(MethodBase):
             .fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal)
             .ibnr_
         )
-        bk_ibnr - bf_ibnr
+        print(bk_ibnr - bf_ibnr)
 
     .. testoutput::
 
@@ -108,7 +109,7 @@ class Benktander(MethodBase):
         xyz = cl.load_sample("xyz")
         bk_ibnr = cl.Benktander(n_iters=1000).fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal).ibnr_
         cl_ibnr = cl.Chainladder().fit(xyz["Paid"]).ibnr_
-        bk_ibnr - cl_ibnr
+        print(bk_ibnr - cl_ibnr)
 
     .. testoutput::
 
@@ -161,11 +162,12 @@ def fit(self, X, y=None, sample_weight=None):
         .. testcode::
 
             xyz = cl.load_sample("xyz")
-            (
+            ultimate = (
                 cl.Benktander(apriori=1, n_iters=2)
                 .fit(X=xyz["Paid"], sample_weight=xyz["Premium"].latest_diagonal)
                 .ultimate_
             )
+            print(ultimate)
 
         .. testoutput::
 
@@ -224,7 +226,8 @@ def predict(self, X, sample_weight=None):
             model = cl.Benktander(apriori=1.0, n_iters=2).fit(
                 tr_prior, sample_weight=apriori_prior
             )
-            model.predict(tr, sample_weight=apriori).ultimate_
+            ultimate = model.predict(tr, sample_weight=apriori).ultimate_
+            print(ultimate)
 
         .. testoutput::
 

From 5f8207dc8dcf16c4496de5a5dd1b45b7c763affa Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Thu, 9 Jul 2026 21:49:39 -0700
Subject: [PATCH 15/17] Update clark.py

---
 chainladder/development/clark.py | 28 ++++++++++++++--------------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/chainladder/development/clark.py b/chainladder/development/clark.py
index 2589f36d..413e5420 100644
--- a/chainladder/development/clark.py
+++ b/chainladder/development/clark.py
@@ -134,8 +134,8 @@ class ClarkLDF(DevelopmentBase):
         clrd = cl.load_sample("clrd")[["CumPaidLoss"]]
         print(len(clrd.index))
         m = cl.ClarkLDF(groupby="LOB").fit(clrd)
-        print(m.omega_.round(3))
-        print(m.theta_.round(3))
+        print(m.omega_.round(2))
+        print(m.theta_.round(2))
 
     .. testoutput::
         :options: +NORMALIZE_WHITESPACE
@@ -143,20 +143,20 @@ class ClarkLDF(DevelopmentBase):
         775
                   CumPaidLoss
         LOB                  
-        comauto         1.082
-        medmal          1.889
-        othliab         1.468
-        ppauto          1.149
-        prodliab        1.441
-        wkcomp          1.107
+        comauto         1.08
+        medmal          1.89
+        othliab         1.47
+        ppauto          1.15
+        prodliab        1.44
+        wkcomp          1.11
                   CumPaidLoss
         LOB                  
-        comauto        20.481
-        medmal         35.130
-        othliab        37.746
-        ppauto         10.023
-        prodliab       64.347
-        wkcomp         20.111
+        comauto        20.48
+        medmal         35.13
+        othliab        37.75
+        ppauto         10.02
+        prodliab       64.35
+        wkcomp         20.11
 
     """
 

From 7c6072cc3565032cdb83e359202afc3379fd01ff Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Thu, 9 Jul 2026 21:52:29 -0700
Subject: [PATCH 16/17] Update bornferg.py

---
 chainladder/methods/bornferg.py | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/chainladder/methods/bornferg.py b/chainladder/methods/bornferg.py
index 1528c4bb..ee968b2e 100644
--- a/chainladder/methods/bornferg.py
+++ b/chainladder/methods/bornferg.py
@@ -53,7 +53,8 @@ class BornhuetterFerguson(Benktander):
 
         raa = cl.load_sample("raa")
         premium = raa.latest_diagonal * 0 + 40_000  # zero out and add 40,000 to each origin
-        cl.BornhuetterFerguson(apriori=0.7).fit(X=raa, sample_weight=premium).ibnr_
+        ibnr = cl.BornhuetterFerguson(apriori=0.7).fit(X=raa, sample_weight=premium).ibnr_
+        print(ibnr)
 
     .. testoutput::
 
@@ -75,7 +76,8 @@ class BornhuetterFerguson(Benktander):
 
         raa = cl.load_sample("raa")
         premium = raa.latest_diagonal * 0 + 40_000 * 0.7  # premium is modified by 70%
-        cl.BornhuetterFerguson().fit(X=raa, sample_weight=premium).ibnr_
+        ibnr = cl.BornhuetterFerguson().fit(X=raa, sample_weight=premium).ibnr_
+        print(ibnr)
 
     .. testoutput::
 
@@ -126,7 +128,8 @@ def fit(self, X, y=None, sample_weight=None):
 
             tr = cl.load_sample('ukmotor')
             apriori = cl.Chainladder().fit(tr).ultimate_ * 0 + 14000
-            cl.BornhuetterFerguson(apriori=1.0).fit(tr, sample_weight=apriori)
+            model = cl.BornhuetterFerguson(apriori=1.0).fit(tr, sample_weight=apriori)
+            print(model)
 
         .. testoutput::
 
@@ -169,7 +172,8 @@ def predict(self, X, sample_weight=None):
             model = cl.BornhuetterFerguson(apriori=1.0).fit(
                 tr_prior, sample_weight=apriori_prior
             )
-            model.predict(tr, sample_weight=apriori).ultimate_
+            ultimate = model.predict(tr, sample_weight=apriori).ultimate_
+            print(ultimate)
 
         .. testoutput::
 

From a568e33ca004a744156c802850841813cfe5afd9 Mon Sep 17 00:00:00 2001
From: henrydingliu <106109320+henrydingliu@users.noreply.github.com>
Date: Thu, 9 Jul 2026 22:15:17 -0700
Subject: [PATCH 17/17] Update pytest.yml

---
 .github/workflows/pytest.yml | 2 --
 1 file changed, 2 deletions(-)

diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml
index 392cdb6f..266dcbf4 100644
--- a/.github/workflows/pytest.yml
+++ b/.github/workflows/pytest.yml
@@ -75,7 +75,5 @@ jobs:
           python-version: "3.12"
       - name: Install dependencies
         run: uv sync --extra docs
-      - name: Generate autosummary stubs
-        run: uv run --directory docs sphinx-autogen -o library/generated library/api.md
       - name: Run doctests
         run: uv run --directory docs jb build . --builder=custom --custom-builder=doctest