implemented fix for escaping underscores in latex repr and added a un… (

pymc-devs#7501)

* implemented fix for escaping underscores in latex repr and added a unit test

* updated unit test staticmethod to include underscore in var name

* add underscore escape fix to distribution repr as well as model repr, fixed testing to expect underscores in LaTeX representation to be escaped

* added cleaner method using re to escape underscores, added cleaner test to assert underscores are escaped

pymc/printing.py

@@ -13,6 +13,8 @@
 #   limitations under the License.
 
 
+import re
+
 from functools import partial
 
 from pytensor.compile import SharedVariable
@@ -58,6 +60,7 @@ def str_for_dist(
     if "latex" in formatting:
         if print_name is not None:
             print_name = r"\text{" + _latex_escape(print_name.strip("$")) + "}"
+            print_name = _format_underscore(print_name)
 
         op_name = (
             dist.owner.op._print_name[1]
@@ -114,6 +117,7 @@ def str_for_model(model: Model, formatting: str = "plain", include_params: bool
     if not var_reprs:
         return ""
     if "latex" in formatting:
+        var_reprs = [_format_underscore(x) for x in var_reprs]
         var_reprs = [
             var_repr.replace(r"\sim", r"&\sim &").strip("$")
             for var_repr in var_reprs
@@ -295,3 +299,10 @@ def _default_repr_pretty(obj: TensorVariable | Model, p, cycle):
 except (ModuleNotFoundError, AttributeError):
     # no ipython shell
     pass
+
+
+def _format_underscore(variable: str) -> str:
+    """
+    Escapes all unescaped underscores in the variable name for LaTeX representation.
+    """
+    return re.sub(r"(?<!\\)_", r"\\_", variable)

tests/test_printing.py

@@ -11,6 +11,7 @@
 #   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 #   See the License for the specific language governing permissions and
 #   limitations under the License.
+
 import numpy as np
 
 from pytensor.tensor.random import normal
@@ -171,15 +172,15 @@ def setup_class(self):
                 r"$\text{mu} \sim \operatorname{Deterministic}(f(\text{beta},~\text{alpha}))$",
                 r"$\text{beta} \sim \operatorname{Normal}(0,~10)$",
                 r"$\text{Z} \sim \operatorname{MultivariateNormal}(f(),~f())$",
-                r"$\text{nb_with_p_n} \sim \operatorname{NegativeBinomial}(10,~\text{nbp})$",
+                r"$\text{nb\_with\_p\_n} \sim \operatorname{NegativeBinomial}(10,~\text{nbp})$",
                 r"$\text{zip} \sim \operatorname{MarginalMixture}(f(),~\operatorname{DiracDelta}(0),~\operatorname{Poisson}(5))$",
                 r"$\text{w} \sim \operatorname{Dirichlet}(\text{<constant>})$",
                 (
-                    r"$\text{nested_mix} \sim \operatorname{MarginalMixture}(\text{w},"
+                    r"$\text{nested\_mix} \sim \operatorname{MarginalMixture}(\text{w},"
                     r"~\operatorname{MarginalMixture}(f(),~\operatorname{DiracDelta}(0),~\operatorname{Poisson}(5)),"
                     r"~\operatorname{Censored}(\operatorname{Bernoulli}(0.5),~-1,~1))$"
                 ),
-                r"$\text{Y_obs} \sim \operatorname{Normal}(\text{mu},~\text{sigma})$",
+                r"$\text{Y\_obs} \sim \operatorname{Normal}(\text{mu},~\text{sigma})$",
                 r"$\text{pot} \sim \operatorname{Potential}(f(\text{beta},~\text{alpha}))$",
                 r"$\text{pred} \sim \operatorname{Deterministic}(f(\text{<normal>}))",
             ],
@@ -189,11 +190,11 @@ def setup_class(self):
                 r"$\text{mu} \sim \operatorname{Deterministic}$",
                 r"$\text{beta} \sim \operatorname{Normal}$",
                 r"$\text{Z} \sim \operatorname{MultivariateNormal}$",
-                r"$\text{nb_with_p_n} \sim \operatorname{NegativeBinomial}$",
+                r"$\text{nb\_with\_p\_n} \sim \operatorname{NegativeBinomial}$",
                 r"$\text{zip} \sim \operatorname{MarginalMixture}$",
                 r"$\text{w} \sim \operatorname{Dirichlet}$",
-                r"$\text{nested_mix} \sim \operatorname{MarginalMixture}$",
-                r"$\text{Y_obs} \sim \operatorname{Normal}$",
+                r"$\text{nested\_mix} \sim \operatorname{MarginalMixture}$",
+                r"$\text{Y\_obs} \sim \operatorname{Normal}$",
                 r"$\text{pot} \sim \operatorname{Potential}$",
                 r"$\text{pred} \sim \operatorname{Deterministic}",
             ],
@@ -256,7 +257,7 @@ def test_model_latex_repr_three_levels_model():
         "$$",
         "\\begin{array}{rcl}",
         "\\text{mu} &\\sim & \\operatorname{Normal}(0,~5)\\\\\\text{sigma} &\\sim & "
-        "\\operatorname{HalfCauchy}(0,~2.5)\\\\\\text{censored_normal} &\\sim & "
+        "\\operatorname{HalfCauchy}(0,~2.5)\\\\\\text{censored\\_normal} &\\sim & "
         "\\operatorname{Censored}(\\operatorname{Normal}(\\text{mu},~\\text{sigma}),~-2,~2)",
         "\\end{array}",
         "$$",
@@ -316,3 +317,22 @@ def random(rng, mu, size):
 
     str_repr = model.str_repr(include_params=False)
     assert str_repr == "\n".join(["x ~ CustomDistNormal", "y ~ CustomRandomNormal"])
+
+
+class TestLatexRepr:
+    @staticmethod
+    def simple_model() -> Model:
+        with Model() as simple_model:
+            error = HalfNormal("error", 0.5)
+            alpha_a = Normal("alpha_a", 0, 1)
+            Normal("y", alpha_a, error)
+        return simple_model
+
+    def test_latex_escaped_underscore(self):
+        """
+        Ensures that all underscores in model variable names are properly escaped for LaTeX representation
+        """
+        model = self.simple_model()
+        model_str = model.str_repr(formatting="latex")
+        assert "\\_" in model_str
+        assert "_" not in model_str.replace("\\_", "")