FIX _auto_example link

Author: TomDLT

doc/create_notebooks.py

@@ -3,7 +3,7 @@
     import os
     import shutil
 
-    archive_name = "_auto_examples/auto_examples_jupyter.zip"
+    archive_name = "_auto_examples/_auto_examples_jupyter.zip"
     if not os.path.exists(archive_name):
         raise RuntimeError(
             f"{archive_name} does not exist, please run `make html` first.")

doc/index.rst

@@ -12,7 +12,7 @@ This website contains tutorials describing how to use the
 `voxelwise modeling framework <voxelwise_modeling.html>`_.
 
 The tutorials consist of Python scripts, which are rendered in a `gallery of
-examples <auto_examples/index.html>`_. Each Python script is also available as
+examples <_auto_examples/index.html>`_. Each Python script is also available as
 a ``jupyter`` notebook (non-rendered). The tutorials are best explored in
 order, starting with the "Movies 3T tutorial".
 
@@ -32,7 +32,7 @@ Tutorials
    :maxdepth: 2
 
 
-   auto_examples/index
+   _auto_examples/index
 
 Documentation
 -------------

tutorials/movies_3T/00_download_vim4.py

@@ -37,7 +37,7 @@
 
 ###############################################################################
 # We will only use the first subject in this tutorial, but you can run the same
-# analysis on the four other subjects. Uncomment the lines in ``DATAFILES``` to
+# analysis on the four other subjects. Uncomment the lines in ``DATAFILES`` to
 # download more subjects.
 #
 # We also skip the stimuli files, since the dataset provides two preprocessed

tutorials/movies_4T/00_download_vim2.py

@@ -35,8 +35,8 @@
 
 ###############################################################################
 # We will only use the first subject in this tutorial, but you can run the same
-# analysis on the twofour other subjects. Uncomment the lines in `DATAFILES` to
-# download more subjects, or to download the stimuli images.
+# analysis on the two other subjects. Uncomment the lines in ``DATAFILES`` to
+# download more subjects, or to download the anatomy files.
 
 import getpass
 
@@ -48,9 +48,9 @@
     # 'vim-2/VoxelResponses_subject2.tar.gz',
     # 'vim-2/VoxelResponses_subject3.tar.gz',
     # 'vim-2/anatomy.zip',
-    'vim-2/checksums.md5',
-    'vim-2/filelist.txt',
-    'vim-2/docs/crcns-vim-2-data-description.pdf',
+    # 'vim-2/checksums.md5',
+    # 'vim-2/filelist.txt',
+    # 'vim-2/docs/crcns-vim-2-data-description.pdf',
 ]
 
 ###############################################################################

tutorials/notebooks/movies_3T/00_download_vim4.ipynb

@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "We will only use the first subject in this tutorial, but you can run the same\nanalysis on the four other subjects. Uncomment the lines in ``DATAFILES``` to\ndownload more subjects.\n\nWe also skip the stimuli files, since the dataset provides two preprocessed\nfeature spaces to perform voxelwise modeling without requiring the original\nstimuli.\n\n"
+        "We will only use the first subject in this tutorial, but you can run the same\nanalysis on the four other subjects. Uncomment the lines in ``DATAFILES`` to\ndownload more subjects.\n\nWe also skip the stimuli files, since the dataset provides two preprocessed\nfeature spaces to perform voxelwise modeling without requiring the original\nstimuli.\n\n"
       ]
     },
     {

tutorials/notebooks/movies_4T/00_download_vim2.ipynb

@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "We will only use the first subject in this tutorial, but you can run the same\nanalysis on the twofour other subjects. Uncomment the lines in `DATAFILES` to\ndownload more subjects, or to download the stimuli images.\n\n"
+        "We will only use the first subject in this tutorial, but you can run the same\nanalysis on the two other subjects. Uncomment the lines in ``DATAFILES`` to\ndownload more subjects, or to download the anatomy files.\n\n"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "import getpass\n\nfrom voxelwise_tutorials.io import download_crcns\n\nDATAFILES = [\n    'vim-2/Stimuli.tar.gz',\n    'vim-2/VoxelResponses_subject1.tar.gz',\n    # 'vim-2/VoxelResponses_subject2.tar.gz',\n    # 'vim-2/VoxelResponses_subject3.tar.gz',\n    # 'vim-2/anatomy.zip',\n    'vim-2/checksums.md5',\n    'vim-2/filelist.txt',\n    'vim-2/docs/crcns-vim-2-data-description.pdf',\n]"
+        "import getpass\n\nfrom voxelwise_tutorials.io import download_crcns\n\nDATAFILES = [\n    'vim-2/Stimuli.tar.gz',\n    'vim-2/VoxelResponses_subject1.tar.gz',\n    # 'vim-2/VoxelResponses_subject2.tar.gz',\n    # 'vim-2/VoxelResponses_subject3.tar.gz',\n    # 'vim-2/anatomy.zip',\n    # 'vim-2/checksums.md5',\n    # 'vim-2/filelist.txt',\n    # 'vim-2/docs/crcns-vim-2-data-description.pdf',\n]"
       ]
     },
     {