MAINT: Upgrade docker to -b (sphinx-reredirects, latest theme) (#379)

* MAINT: Upgrade docker to -b (sphinx-reredirects, latest theme)

* update env

* fix link to pym.sample

Author: mmcky

.github/workflows/cache.yml

@@ -27,7 +27,7 @@ jobs:
     needs: deploy-runner
     runs-on: [self-hosted, cml-gpu]
     container:
-      image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311
+      image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-b
       options: --gpus all
     steps:
       - uses: actions/checkout@v3

.github/workflows/ci.yml

@@ -24,7 +24,7 @@ jobs:
     needs: deploy-runner
     runs-on: [self-hosted, cml-gpu]
     container:
-      image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311
+      image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-b
       options: --gpus all
     steps:
       - uses: actions/checkout@v3
@@ -34,9 +34,6 @@ jobs:
       - name: nvidia Drivers
         shell: bash -l {0}
         run: nvidia-smi
-      - name: Install sphinx-reredirects
-        shell: bash -l {0}
-        run: pip install sphinx-reredirects
       - name: Display Conda Environment Versions
         shell: bash -l {0}
         run: conda list

.github/workflows/publish.yml

@@ -28,7 +28,7 @@ jobs:
     needs: deploy-runner
     runs-on: [self-hosted, cml-gpu]
     container:
-      image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311
+      image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-b
       options: --gpus all
     steps:
       - name: Checkout

environment.yml

@@ -8,7 +8,8 @@ dependencies:
   - pip:
     - jupyter-book==0.15.1
     - docutils==0.17.1
-    - quantecon-book-theme==0.6.0
+    - quantecon-book-theme==0.7.0
+    - sphinx-reredirects==0.1.3
     - sphinx-tojupyter==0.3.0
     - sphinxext-rediraffe==0.2.7
     - sphinx-exercise==0.4.1

lectures/ar1_bayes.md

@@ -192,7 +192,7 @@ with AR1_model:
     y_like = pmc.Normal('y_obs', mu=yhat, sigma=sigma, observed=y[1:])
 ```
 
-[pmc.sample](https://www.pymc.io/projects/docs/en/latest/api/generated/pymc.sample.html?highlight=sample#pymc.sample) by default uses the NUTS samplers to generate samples as shown in the below cell:
+[pmc.sample](https://www.pymc.io/projects/docs/en/v5.10.0/api/generated/pymc.sample.html#pymc-sample) by default uses the NUTS samplers to generate samples as shown in the below cell:
 
 ```{code-cell} ipython3
 :tag: [hide-output]