CLN remove cell - installing git-annex 8 on colab is hard

Author: TomDLT

tutorials/notebooks/shortclips/00_setup_colab.ipynb

@@ -51,25 +51,7 @@
       },
       "outputs": [],
       "source": [
-        "# !pip install -U --no-cache-dir gdown --pre\n# ![ -f \"vim-5-for-ccn.tar.gz\" ] || gdown --id 1b0I0Ytj06m6GCmfxfNrZuyF97fDo3NZb\n# ![ -d \"vim-5\" ] || tar xzf vim-5-for-ccn.tar.gz\n# !ln -s vim-5 shortclips\n# !apt-get install -qq inkscape > /dev/null\n# !pip install -q voxelwise_tutorials>=0.1.2\n# ![ -f \"ngrok-stable-linux-amd64.zip\" ] || wget -q https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n# ![ -f \"ngrok\" ] || unzip ngrok-stable-linux-amd64.zip"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "If downloading the data failed, you can try to download it manually, turning\n `if False` into `if True`, and running the following cell.\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "if False:\n    from voxelwise_tutorials.io import get_data_home\n    from voxelwise_tutorials.io import download_datalad\n\n    for datafile in [\n        \"features/motion_energy.hdf\", \"features/wordnet.hdf\",\n        \"mappers/S01_mappers.hdf\", \"responses/S01_responses.hdf\",\n    ]:\n        local_filename = download_datalad(\n            datafile, destination=get_data_home(dataset=\"shortclips\"),\n            source=\"https://gin.g-node.org/gallantlab/shortclips\")"
+        "# !pip install -U --no-cache-dir gdown --pre\n# ![ -f \"vim-5-for-ccn.tar.gz\" ] || gdown --id 1b0I0Ytj06m6GCmfxfNrZuyF97fDo3NZb\n# ![ -d \"vim-5\" ] || tar xzf vim-5-for-ccn.tar.gz\n# !ln -s vim-5 shortclips\n# !apt-get install -qq inkscape > /dev/null\n# !pip install -q voxelwise_tutorials==0.1.2\n# ![ -f \"ngrok-stable-linux-amd64.zip\" ] || wget -q https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n# ![ -f \"ngrok\" ] || unzip ngrok-stable-linux-amd64.zip"
       ]
     },
     {

tutorials/notebooks/shortclips/merged_for_colab.ipynb

@@ -78,41 +78,11 @@
     "# ![ -d \"vim-5\" ] || tar xzf vim-5-for-ccn.tar.gz\n",
     "# !ln -s vim-5 shortclips\n",
     "# !apt-get install -qq inkscape > /dev/null\n",
-    "# !pip install -q voxelwise_tutorials>=0.1.2\n",
+    "# !pip install -q voxelwise_tutorials==0.1.2\n",
     "# ![ -f \"ngrok-stable-linux-amd64.zip\" ] || wget -q https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n",
     "# ![ -f \"ngrok\" ] || unzip ngrok-stable-linux-amd64.zip"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If downloading the data failed, you can try to download it manually, turning\n",
-    " `if False` into `if True`, and running the following cell.\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "if False:\n",
-    "    from voxelwise_tutorials.io import get_data_home\n",
-    "    from voxelwise_tutorials.io import download_datalad\n",
-    "\n",
-    "    for datafile in [\n",
-    "        \"features/motion_energy.hdf\", \"features/wordnet.hdf\",\n",
-    "        \"mappers/S01_mappers.hdf\", \"responses/S01_responses.hdf\",\n",
-    "    ]:\n",
-    "        local_filename = download_datalad(\n",
-    "            datafile, destination=get_data_home(dataset=\"shortclips\"),\n",
-    "            source=\"https://gin.g-node.org/gallantlab/shortclips\")"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},

tutorials/shortclips/00_setup_colab.py

@@ -30,26 +30,10 @@
 # ![ -d "vim-5" ] || tar xzf vim-5-for-ccn.tar.gz
 # !ln -s vim-5 shortclips
 # !apt-get install -qq inkscape > /dev/null
-# !pip install -q voxelwise_tutorials>=0.1.2
+# !pip install -q voxelwise_tutorials==0.1.2
 # ![ -f "ngrok-stable-linux-amd64.zip" ] || wget -q https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
 # ![ -f "ngrok" ] || unzip ngrok-stable-linux-amd64.zip
 
-###############################################################################
-# If downloading the data failed, you can try to download it manually, turning
-# `if False` into `if True`, and running the following cell.
-
-if False:
-    from voxelwise_tutorials.io import get_data_home
-    from voxelwise_tutorials.io import download_datalad
-
-    for datafile in [
-        "features/motion_energy.hdf", "features/wordnet.hdf",
-        "mappers/S01_mappers.hdf", "responses/S01_responses.hdf",
-    ]:
-        local_filename = download_datalad(
-            datafile, destination=get_data_home(dataset="shortclips"),
-            source="https://gin.g-node.org/gallantlab/shortclips")
-
 ###############################################################################
 # For the record, here is what each command does: