Increase prior predictive draws to 100 in notebook runner

Updated the mock for pm.sample() to use 100 draws instead of 50 for prior predictive sampling, as reflected in both the injected script and documentation. This change aims to provide more robust validation during notebook execution.

Author: drbenvincent

scripts/run_notebooks/README.md

@@ -4,7 +4,7 @@ This script runs Jupyter notebooks from `docs/source/notebooks/` to validate the
 
 ## How It Works
 
-1. **Mocks `pm.sample()`** — Replaces MCMC sampling with prior predictive (1 chain × 50 draws) for speed
+1. **Mocks `pm.sample()`** — Replaces MCMC sampling with prior predictive (1 chain × 100 draws) for speed
 2. **Uses Papermill** — Executes notebooks programmatically
 3. **Discards outputs** — Only checks for errors, doesn't save results
 

scripts/run_notebooks/injected.py

@@ -15,7 +15,7 @@ def mock_sample(*args, **kwargs):
         first_arg = args[0]
         if isinstance(first_arg, pm.Model):
             model = first_arg
-    n_draws = 50
+    n_draws = 100
 
     idata = pm.sample_prior_predictive(
         model=model,