refactor: warning message

Michal-Novomestsky · Michal-Novomestsky · commit 934d740ea57e · 2025-08-29T04:05:50.000+10:00
diff --git a/pymc_extras/model/marginal/distributions.py b/pymc_extras/model/marginal/distributions.py
@@ -508,7 +508,7 @@ def laplace_marginal_rv_logp(op: MarginalLaplaceRV, values, *inputs, **kwargs):
     # A more robust method of obtaining d would be ideal.
     if len(values) > 1:
         warnings.warn(
-            f"INLA assumes that the latent field {marginalized_vv.name} is of the same shape as the observables, however more than one input value to the logp was provided."
+            f"INLA assumes that the latent field {marginalized_vv.name} is of the same dimension as the observables and that there is only one observable, however more than one input value to the logp was provided."
         )
     d = values[0].data.shape[-1]
     rng = np.random.default_rng(op.minimizer_seed)

Original file line number	Diff line number	Diff line change
`@@ -508,7 +508,7 @@ def laplace_marginal_rv_logp(op: MarginalLaplaceRV, values, inputs, *kwargs):`
`508`	`508`	`# A more robust method of obtaining d would be ideal.`
`509`	`509`	`if len(values) > 1:`
`510`	`510`	`warnings.warn(`
`511`		`- f"INLA assumes that the latent field {marginalized_vv.name} is of the same shape as the observables, however more than one input value to the logp was provided."`
	`511`	`+ f"INLA assumes that the latent field {marginalized_vv.name} is of the same dimension as the observables and that there is only one observable, however more than one input value to the logp was provided."`
`512`	`512`	`)`
`513`	`513`	`d = values[0].data.shape[-1]`
`514`	`514`	`rng = np.random.default_rng(op.minimizer_seed)`