CLN: CI (#212) (#1127)

Co-authored-by: JHM Darbyshire (M1) <[email protected]>

Author: attack68

python/rateslib/_spec_loader.py

@@ -90,7 +90,7 @@ def _get_kwargs(spec: str) -> dict[str, Any]:
             d["roll"] = _map_str_int(d["roll"])
         if "leg2_roll" in d:
             d["leg2_roll"] = _map_str_int(d["leg2_roll"])
-        return d
+        return d  # type: ignore[return-value]  # this is [Hashable, Any] not [str, Any]
 
     INSTRUMENT_SPECS = {k: _get_kwargs(k) for k in df.columns[4:]}
 

python/rateslib/instruments/fx_options/risk_reversal.py

@@ -319,7 +319,7 @@ def npv(
         if local:
             df = DataFrame(results).fillna(0.0)
             df_sum = df.sum()
-            _: DualTypes | dict[str, DualTypes] = df_sum.to_dict()
+            _: DualTypes | dict[str, DualTypes] = df_sum.to_dict()  # type: ignore[assignment]
         else:
             _ = sum(results)  # type: ignore[arg-type]
         return _

python/rateslib/instruments/portfolio.py

@@ -140,7 +140,7 @@ def npv(
             # Aggregate results:
             _ = DataFrame(results).fillna(0.0)
             _ = _.sum()
-            local_npv = _.to_dict()
+            local_npv = _.to_dict()  # type: ignore[assignment]
 
             # ret = {}
             # for result in results:

python/rateslib/solver.py

@@ -1740,7 +1740,7 @@ def delta(
             names=["type", "solver", "label"],
         )
         indexes = {"instruments": inst_idx, "fx": fx_idx}
-        r_idx = inst_idx.append(fx_idx)  # type: ignore[no-untyped-call]
+        r_idx = inst_idx.append(fx_idx)
         c_idx = MultiIndex.from_tuples([], names=["local_ccy", "display_ccy"])
         df = DataFrame(None, index=r_idx, columns=c_idx)
         for key, array in container.items():
@@ -1999,7 +1999,7 @@ def gamma(
             names=["local_ccy", "display_ccy", "type", "solver", "label"],
         )
         if base is not NoInput.blank:
-            ridx = ridx.append(  # type: ignore[no-untyped-call]
+            ridx = ridx.append(
                 MultiIndex.from_tuples(
                     [("all", base) + _ for _ in inst_keys + fx_keys],
                     names=["local_ccy", "display_ccy", "type", "solver", "label"],