Move download footer link to bottom

basnijholt · basnijholt · commit e7b8b695ef09 · 2022-09-02T16:35:22.000-07:00
diff --git a/docs/source/tutorial/tutorial.AverageLearner.md b/docs/source/tutorial/tutorial.AverageLearner.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.AverageLearner.ipynb`** and {download}`tutorial.AverageLearner.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -68,3 +66,5 @@ runner.live_info()
 ```{code-cell}
 runner.live_plot(update_interval=0.1)
 ```
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.AverageLearner.ipynb`** and {download}`tutorial.AverageLearner.md`.
diff --git a/docs/source/tutorial/tutorial.AverageLearner1D.md b/docs/source/tutorial/tutorial.AverageLearner1D.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.AverageLearner1D.ipynb`** and {download}`tutorial.AverageLearner1D.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -152,3 +150,5 @@ await runner.task  # This is not needed in a notebook environment!
 runner.live_info()
 runner.live_plot(update_interval=0.1)
 ```
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.AverageLearner1D.ipynb`** and {download}`tutorial.AverageLearner1D.md`.
diff --git a/docs/source/tutorial/tutorial.BalancingLearner.md b/docs/source/tutorial/tutorial.BalancingLearner.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.BalancingLearner.ipynb`** and {download}`tutorial.BalancingLearner.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -98,3 +96,5 @@ runner = adaptive.BlockingRunner(learner, goal=lambda l: l.loss() < 0.01)
 # `plot()` will return a HoloMap with correctly labeled sliders.
 learner.plot().overlay("beta").grid().select(y=(-1, 3))
 ```
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.BalancingLearner.ipynb`** and {download}`tutorial.BalancingLearner.md`.
diff --git a/docs/source/tutorial/tutorial.DataSaver.md b/docs/source/tutorial/tutorial.DataSaver.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.DataSaver.ipynb`** and {download}`tutorial.DataSaver.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -83,3 +81,5 @@ Now the `DataSavingLearner` will have an dictionary attribute `extra_data` that
 ```{code-cell}
 learner.extra_data
 ```
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.DataSaver.ipynb`** and {download}`tutorial.DataSaver.md`.
diff --git a/docs/source/tutorial/tutorial.IntegratorLearner.md b/docs/source/tutorial/tutorial.IntegratorLearner.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.IntegratorLearner.ipynb`** and {download}`tutorial.IntegratorLearner.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -99,3 +97,5 @@ print(
 )
 learner.plot()
 ```
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.IntegratorLearner.ipynb`** and {download}`tutorial.IntegratorLearner.md`.
diff --git a/docs/source/tutorial/tutorial.Learner1D.md b/docs/source/tutorial/tutorial.Learner1D.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.Learner1D.ipynb`** and {download}`tutorial.Learner1D.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -210,3 +208,5 @@ adaptive.runner.simple(learner_2, goal=npoints_goal)
 ```
 
 More info about using custom loss functions can be found in {ref}`Custom adaptive logic for 1D and 2D`.
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.Learner1D.ipynb`** and {download}`tutorial.Learner1D.md`.
diff --git a/docs/source/tutorial/tutorial.Learner2D.md b/docs/source/tutorial/tutorial.Learner2D.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.Learner2D.ipynb`** and {download}`tutorial.Learner2D.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -91,3 +89,5 @@ learner2.tell_many(xys, map(partial(ring, wait=False), xys))
     + learner.plot(tri_alpha=0.4)
 ).cols(2).opts(hv.opts.EdgePaths(color="w"))
 ```
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.Learner2D.ipynb`** and {download}`tutorial.Learner2D.md`.
diff --git a/docs/source/tutorial/tutorial.SKOptLearner.md b/docs/source/tutorial/tutorial.SKOptLearner.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.SKOptLearner.ipynb`** and {download}`tutorial.SKOptLearner.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -73,3 +71,5 @@ to_learn = hv.Curve((xs, [F(x, 0) for x in xs]), label="to learn")
 plot = runner.live_plot().relabel("prediction", depth=2) * to_learn
 plot.opts(legend_position="top")
 ```
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.SKOptLearner.ipynb`** and {download}`tutorial.SKOptLearner.md`.
diff --git a/docs/source/tutorial/tutorial.SequenceLearner.md b/docs/source/tutorial/tutorial.SequenceLearner.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.SequenceLearner.ipynb`** and {download}`tutorial.SequenceLearner.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -79,3 +77,5 @@ To get the values in the same order as the input sequence (`learner.sequence`) u
 result = learner.result()
 print(result[:10])  # print the 10 first values
 ```
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.SequenceLearner.ipynb`** and {download}`tutorial.SequenceLearner.md`.
diff --git a/docs/source/tutorial/tutorial.advanced-topics.md b/docs/source/tutorial/tutorial.advanced-topics.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.advanced-topics.ipynb`** and {download}`tutorial.advanced-topics.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -413,3 +411,5 @@ await runner.task
 ```
 
 from within a coroutine.
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.advanced-topics.ipynb`** and {download}`tutorial.advanced-topics.md`.
diff --git a/docs/source/tutorial/tutorial.custom_loss.md b/docs/source/tutorial/tutorial.custom_loss.md
@@ -16,8 +16,6 @@ Because this documentation consists of static html, the `live_plot` and `live_in
 Download the notebook in order to see the real behaviour. [^download]
 ```
 
-[^download]: This notebook can be downloaded as **{nb-download}`tutorial.custom-loss.ipynb`** and {download}`tutorial.custom-loss.md`.
-
 ```{code-cell}
 ---
 tags: [hide-cell]
@@ -44,8 +42,7 @@ Both the {class}`~adaptive.Learner1D` and {class}`~adaptive.Learner2D` allow you
 Below we illustrate how you would go about writing your own loss function.
 The documentation for {class}`~adaptive.Learner1D` and {class}`~adaptive.Learner2D` specifies the signature that your loss function needs to have in order for it to work with `adaptive`.
 
-tl;dr, one can use the following *loss functions* that
-**we** already implemented:
+tl;dr, one can use the following *loss functions* that **we** already implemented:
 
 - {class}`adaptive.learner.learner1D.default_loss`
 - {class}`adaptive.learner.learner1D.uniform_loss`
@@ -168,3 +165,5 @@ learner.plot(tri_alpha=0.3).relabel("1 / (x^2 + y^2) in log scale").opts(hv.opts
 Awesome! We zoom in on the singularity, but not at the expense of sampling the rest of the domain a reasonable amount.
 
 The above strategy is available as {class}`adaptive.learner.learner2D.resolution_loss_function`.
+
+[^download]: This notebook can be downloaded as **{nb-download}`tutorial.custom-loss.ipynb`** and {download}`tutorial.custom-loss.md`.
