ci: skip optional adapter examples in lean gate

Author: brycewang-stanford

scripts/check_example_execution.py

@@ -117,7 +117,10 @@ def main(argv: Optional[List[str]] = None) -> int:
             first = str(e).splitlines()[0] if str(e) else ""
             failures.append(f"{name}: {type(e).__name__}: {first[:100]}")
 
-    if not args.quiet:
+    should_print_failures = not args.quiet or (
+        args.max_failures is not None and len(failures) > args.max_failures
+    )
+    if should_print_failures:
         for f in failures:
             print(f"FAIL {f}")
     print(f"ran_ok={ran} failed={len(failures)}")

src/statspai/fixest/wrapper.py

@@ -102,8 +102,8 @@ def feols(
     >>> x1 = rng.normal(size=n)
     >>> y = 1.0 + 0.5 * x1 + 0.1 * firm + 0.2 * year + rng.normal(0, 0.5, n)
     >>> df = pd.DataFrame({"y": y, "x1": x1, "firm": firm, "year": year})
-    >>> res = sp.feols("y ~ x1 | firm + year", data=df, vcov={"CRV1": "firm"})
-    >>> "x1" in res.params.index
+    >>> res = sp.feols("y ~ x1 | firm + year", data=df, vcov={"CRV1": "firm"})  # doctest: +SKIP
+    >>> "x1" in res.params.index  # doctest: +SKIP
     True
 
     Multiple estimation (``csw0`` returns a list, one fit per FE set):
@@ -203,8 +203,8 @@ def fepois(
     >>> x1 = rng.normal(size=n)
     >>> mu = np.exp(0.3 + 0.5 * x1 + 0.1 * firm)
     >>> df = pd.DataFrame({"y": rng.poisson(mu), "x1": x1, "firm": firm})
-    >>> res = sp.fepois("y ~ x1 | firm", data=df)
-    >>> "x1" in res.params.index
+    >>> res = sp.fepois("y ~ x1 | firm", data=df)  # doctest: +SKIP
+    >>> "x1" in res.params.index  # doctest: +SKIP
     True
     """
     pf = _check_pyfixest()
@@ -278,8 +278,8 @@ def feglm(
     >>> p = 1.0 / (1.0 + np.exp(-(0.2 + 0.8 * x1)))
     >>> y = (rng.random(n) < p).astype(int)
     >>> df = pd.DataFrame({"y": y, "x1": x1, "firm": firm})
-    >>> res = sp.feglm("y ~ x1 | firm", data=df, family="logit")
-    >>> "x1" in res.params.index
+    >>> res = sp.feglm("y ~ x1 | firm", data=df, family="logit")  # doctest: +SKIP
+    >>> "x1" in res.params.index  # doctest: +SKIP
     True
     """
     pf = _check_pyfixest()
@@ -341,9 +341,9 @@ def etable(
     With ``sp.feols`` fits (requires the ``fixest`` extra), pyfixest's
     native styled table is returned instead:
 
-    >>> f1 = sp.feols("wage ~ x1 | firm", data=df)
-    >>> f2 = sp.feols("wage ~ x1 + x2 | firm", data=df)
-    >>> tab = sp.etable(f1, f2)
+    >>> f1 = sp.feols("wage ~ x1 | firm", data=df)  # doctest: +SKIP
+    >>> f2 = sp.feols("wage ~ x1 + x2 | firm", data=df)  # doctest: +SKIP
+    >>> tab = sp.etable(f1, f2)  # doctest: +SKIP
     """
     pf_fits = [
         getattr(r, "_pyfixest_fit") for r in results

src/statspai/output/_gt.py

@@ -237,18 +237,18 @@ def to_gt(
     >>> x = rng.normal(0, 1, n)
     >>> data = pd.DataFrame({'y': 1.0 + 0.5 * x + rng.normal(0, 1, n), 'x': x})
     >>> rt = sp.regtable(sp.regress('y ~ x', data=data), title='Demo')
-    >>> g = sp.gt(rt)               # ready-to-render great_tables.GT
-    >>> type(g).__name__
+    >>> g = sp.gt(rt)               # doctest: +SKIP
+    >>> type(g).__name__            # doctest: +SKIP
     'GT'
-    >>> bool('<table' in g.as_raw_html())   # HTML export / Quarto
+    >>> bool('<table' in g.as_raw_html())   # doctest: +SKIP
     True
     >>> g.as_latex()                # doctest: +SKIP
 
     Plain DataFrame path — promote a column to row labels:
 
     >>> df = pd.DataFrame({'var': ['x', 'y'], 'M1': ['0.5***', '0.3']})
-    >>> g2 = sp.gt(df, rowname_col='var', title='Custom table')
-    >>> type(g2).__name__
+    >>> g2 = sp.gt(df, rowname_col='var', title='Custom table')  # doctest: +SKIP
+    >>> type(g2).__name__  # doctest: +SKIP
     'GT'
 
     Raises