Skip ollama/preprocess_thepile examples in Nightly tests "Run Example…

…s" (#102)

Skip some files in examples due to extra dependencies/not testing super critical functionality.

.github/workflows/e2e_ci.yml

@@ -144,6 +144,7 @@ jobs:
           SF_USERNAME: ${{ secrets.SF_USERNAME }}
           SF_PASSWORD: ${{ secrets.SF_PASSWORD }}
           SF_ACCOUNT: ${{ secrets.SF_ACCOUNT }}
+          SKIP_FILES: "query_llm_ollama.py preprocess_thepile_bodo.py generate_kmers.py"
         run: |
           set -eo pipefail
-          ls *.py | xargs -n 1 -P 1 python
+          ls *.py | grep -v -E "$(echo $SKIP_FILES | sed 's/ /|/g')" | xargs -n 1 -P 1 python

examples/Getting-Started/pi.ipynb

@@ -48,22 +48,16 @@
     "    pi = 4 * np.sum(xx ** 2 + y ** 2 < 1) / number_of_samples\n",
     "    print(\"Execution time:\", time.time() - t1, \"\\n result:\", pi)\n",
     "\n",
-    "calc_pi(100_000_000)  "
+    "calc_pi(100_000_000)"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "1e8a515c",
    "metadata": {},
    "source": [
-    "### Run with Bodo in Parallel"
-   ]
-  },
-  {
-   "cell_type": "raw",
-   "id": "7433e62c-35f0-4e1a-9b12-83328fbd74fc",
-   "metadata": {},
-   "source": [
+    "### Run with Bodo in Parallel\n",
+    "\n",
     "To run this code with bodo, we need to add the `@bodo.jit` decorator on top of the same function. This decorator will tell bodo to compile the decorated function right before it is called, allowing bodo to optimize the program and run it in parallel. At runtime, the compiled function is executed on all availible cores and bodo automatically divides the work and manages the communication between cores so that you don't have to! \n",
     "\n",
     "The argument of `cache=True` caches the compiled binary such that next time you run this notebook, there is no need to compile as long as the code text stays the same. "
@@ -97,7 +91,7 @@
     "    pi = 4 * np.sum(xx ** 2 + y ** 2 < 1) / number_of_samples\n",
     "    print(\"Execution time:\", time.time() - t1, \"\\n result:\", pi)\n",
     "\n",
-    "calc_pi(100_000_000)    "
+    "calc_pi(100_000_000)"
    ]
   },
   {
@@ -137,7 +131,7 @@
     "    pi = 4 * np.sum(xx ** 2 + y ** 2 < 1) / number_of_samples\n",
     "    print(\"Execution time:\", time.time() - t1, \"\\n result:\", pi)\n",
     "\n",
-    "calc_pi(100 * 100_000_000)  "
+    "calc_pi(100 * 100_000_000)"
    ]
   },
   {