Add test case for #424

test/site/content-org/issues.org

@@ -151,6 +151,20 @@ echo "testing"
 
 #+RESULTS:
 : testing
+* Issue 424 -- Exporting Results blocks from Included Org files :include:results:
+:PROPERTIES:
+:EXPORT_FILE_NAME: 424-exporting-results-blocks-from-included-org-files
+:END:
+#+begin_description
+Example of using ~#+include~ to export code block *and* results
+block from that included file.
+#+end_description
+
+- Note :: By default, Org will export only the code block. So if you
+  want to export the ~#+results~ block as well, you need to add
+  ~:exports both~ to the source block header.
+
+#+include: "misc/issue-424-external.org"
 
 * Footnotes
 [fn:1]

test/site/content-org/misc/issue-424-external.org

@@ -0,0 +1,52 @@
+#+begin_src jupyter-python :exports both
+lm_adam = LinearModel()
+lm_adam.to(device)
+optimizer = Adam(lm_adam.parameters(), weight_decay=0.0001)
+
+for epoch in range(epochs):
+    running_loss = 0.0
+
+    for i, (x, y) in enumerate(dummy_data):
+
+        x_ = Variable(x, requires_grad=True)
+        y_ = Variable(y)
+
+        # Forward pass
+        y_pred = lm_adam(x_)
+
+        # Compute loss
+        loss = criterion(y_pred, y_)
+
+        # Zero gradients, backward pass, and update weights
+        optimizer.zero_grad()
+        loss.backward()
+        optimizer.step()
+
+        # Update the running loss
+        running_loss += loss.item()
+
+    print(f"Epoch: {epoch + 1:02}/{epochs} Loss: {running_loss:.5e}")
+#+end_src
+
+#+begin_example
+Epoch: 01/20 Loss: 1.35205e+03
+Epoch: 02/20 Loss: 1.33684e+03
+Epoch: 03/20 Loss: 1.32229e+03
+Epoch: 04/20 Loss: 1.30802e+03
+Epoch: 05/20 Loss: 1.29396e+03
+Epoch: 06/20 Loss: 1.28007e+03
+Epoch: 07/20 Loss: 1.26634e+03
+Epoch: 08/20 Loss: 1.25274e+03
+Epoch: 09/20 Loss: 1.23927e+03
+Epoch: 10/20 Loss: 1.22593e+03
+Epoch: 11/20 Loss: 1.21272e+03
+Epoch: 12/20 Loss: 1.19962e+03
+Epoch: 13/20 Loss: 1.18664e+03
+Epoch: 14/20 Loss: 1.17378e+03
+Epoch: 15/20 Loss: 1.16103e+03
+Epoch: 16/20 Loss: 1.14839e+03
+Epoch: 17/20 Loss: 1.13587e+03
+Epoch: 18/20 Loss: 1.12345e+03
+Epoch: 19/20 Loss: 1.11114e+03
+Epoch: 20/20 Loss: 1.09893e+03
+#+end_example

test/site/content/issues/424-exporting-results-blocks-from-included-org-files.md

@@ -0,0 +1,69 @@
++++
+title = "Issue 424 – Exporting Results blocks from Included Org files"
+description = """
+  Example of using `#+include` to export code block **and** results
+  block from that included file.
+  """
+tags = ["issues", "include", "results"]
+draft = false
++++
+
+Note
+: By default, Org will export only the code block. So if you
+    want to export the `#+results` block as well, you need to add
+    `:exports both` to the source block header.
+
+<!--listend-->
+
+```jupyter-python
+lm_adam = LinearModel()
+lm_adam.to(device)
+optimizer = Adam(lm_adam.parameters(), weight_decay=0.0001)
+
+for epoch in range(epochs):
+    running_loss = 0.0
+
+    for i, (x, y) in enumerate(dummy_data):
+
+        x_ = Variable(x, requires_grad=True)
+        y_ = Variable(y)
+
+        # Forward pass
+        y_pred = lm_adam(x_)
+
+        # Compute loss
+        loss = criterion(y_pred, y_)
+
+        # Zero gradients, backward pass, and update weights
+        optimizer.zero_grad()
+        loss.backward()
+        optimizer.step()
+
+        # Update the running loss
+        running_loss += loss.item()
+
+    print(f"Epoch: {epoch + 1:02}/{epochs} Loss: {running_loss:.5e}")
+```
+
+```text
+Epoch: 01/20 Loss: 1.35205e+03
+Epoch: 02/20 Loss: 1.33684e+03
+Epoch: 03/20 Loss: 1.32229e+03
+Epoch: 04/20 Loss: 1.30802e+03
+Epoch: 05/20 Loss: 1.29396e+03
+Epoch: 06/20 Loss: 1.28007e+03
+Epoch: 07/20 Loss: 1.26634e+03
+Epoch: 08/20 Loss: 1.25274e+03
+Epoch: 09/20 Loss: 1.23927e+03
+Epoch: 10/20 Loss: 1.22593e+03
+Epoch: 11/20 Loss: 1.21272e+03
+Epoch: 12/20 Loss: 1.19962e+03
+Epoch: 13/20 Loss: 1.18664e+03
+Epoch: 14/20 Loss: 1.17378e+03
+Epoch: 15/20 Loss: 1.16103e+03
+Epoch: 16/20 Loss: 1.14839e+03
+Epoch: 17/20 Loss: 1.13587e+03
+Epoch: 18/20 Loss: 1.12345e+03
+Epoch: 19/20 Loss: 1.11114e+03
+Epoch: 20/20 Loss: 1.09893e+03
+```