refactor(examples): move batch-job example configs into the batch_jobs package

examples/manuscript_analysis.ipynb

@@ -489,7 +489,7 @@
   {
    "cell_type": "code",
    "id": "rmhlza0rqxm",
-   "source": "# Burst-to-burst (slice-to-slice) correlations\n# For each unit, correlates its firing rate profile across all pairs of bursts.\n# Returns a PairwiseCompMatrixStack of shape (S, S, U) and the unit-averaged matrix (S, S).\nb2b_stack, av_b2b = rss.get_slice_to_slice_unit_corr_from_stack()\n\nprint(f\"Burst-to-burst correlation stack: {b2b_stack.stack.shape} (S x S x U)\")\nprint(f\"Mean per-unit burst-to-burst correlation: {av_b2b.mean():.4f}\")",
+   "source": "# Burst-to-burst (slice-to-slice) correlations\n# For each unit, correlates its firing rate profile across all pairs of bursts.\n# Returns a PairwiseCompMatrixStack of shape (S, S, U) and the unit-averaged matrix (S, S).\nb2b_stack, av_b2b = rss.get_slice_to_slice_unit_corr_from_stack()\n\nprint(f\"Burst-to-burst correlation stack: {b2b_stack.stack.shape} (S x S x U)\")\n# nanmean: units silent within a burst give undefined (NaN) burst-pair correlations\nprint(f\"Mean per-unit burst-to-burst correlation: {np.nanmean(av_b2b):.4f}\")",
    "metadata": {},
    "execution_count": null,
    "outputs": []

src/spikelab/batch_jobs/INSTRUCTIONS.md

@@ -286,7 +286,7 @@ submitting anything to the cluster:
 ```bash
 spikelab-batch-jobs render-job \
   --profile <profile> \
-  --job-config examples/batch_jobs/temp_cpu_job.yaml \
+  --job-config src/spikelab/batch_jobs/examples/temp_cpu_job.yaml \
   --image-profile cpu
 ```