CI: bump mypy&pyright

.github/workflows/code-checks.yml

@@ -74,7 +74,7 @@ jobs:
 
     - name: Install pyright
       # note: keep version in sync with .pre-commit-config.yaml
-      run: npm install -g [email protected].212
+      run: npm install -g [email protected].230
 
     - name: Build Pandas
       id: build

.pre-commit-config.yaml

@@ -85,7 +85,7 @@ repos:
         types: [python]
         stages: [manual]
         # note: keep version in sync with .github/workflows/code-checks.yml
-        additional_dependencies: ['[email protected].212']
+        additional_dependencies: ['[email protected].230']
 -   repo: local
     hooks:
     -   id: flake8-rst

doc/source/whatsnew/v1.5.0.rst

@@ -177,7 +177,7 @@ If installed, we now require:
 +-----------------+-----------------+----------+---------+
 | Package         | Minimum Version | Required | Changed |
 +=================+=================+==========+=========+
-| mypy (dev)      | 0.931           |          |    X    |
+| mypy (dev)      | 0.941           |          |    X    |
 +-----------------+-----------------+----------+---------+
 
 

environment.yml

@@ -24,7 +24,7 @@ dependencies:
   - flake8-bugbear=21.3.2  # used by flake8, find likely bugs
   - flake8-comprehensions=3.7.0  # used by flake8, linting of unnecessary comprehensions
   - isort>=5.2.1  # check that imports are in the right order
-  - mypy=0.931
+  - mypy=0.941
   - pre-commit>=2.9.2
   - pycodestyle  # used by flake8
   - pyupgrade

pandas/core/arrays/sparse/array.py

@@ -774,8 +774,7 @@ def fillna(
         elif method is not None:
             msg = "fillna with 'method' requires high memory usage."
             warnings.warn(msg, PerformanceWarning)
-            # Need type annotation for "new_values"  [var-annotated]
-            new_values = np.asarray(self)  # type: ignore[var-annotated]
+            new_values = np.asarray(self)
             # interpolate_2d modifies new_values inplace
             interpolate_2d(new_values, method=method, limit=limit)
             return type(self)(new_values, fill_value=self.fill_value)

pandas/core/computation/ops.py

@@ -580,7 +580,8 @@ def __init__(self, op: str, operand) -> None:
 
     def __call__(self, env):
         operand = self.operand(env)
-        return self.func(operand)
+        # error: Cannot call function of unknown type
+        return self.func(operand)  # type: ignore[operator]
 
     def __repr__(self) -> str:
         return pprint_thing(f"{self.op}({self.operand})")

pandas/core/generic.py

@@ -1481,9 +1481,15 @@ def equals(self, other: object) -> bool_t:
     def __neg__(self):
         def blk_func(values: ArrayLike):
             if is_bool_dtype(values.dtype):
-                return operator.inv(values)
+                # error: Argument 1 to "inv" has incompatible type "Union
+                # [ExtensionArray, ndarray[Any, Any]]"; expected
+                # "_SupportsInversion[ndarray[Any, dtype[bool_]]]"
+                return operator.inv(values)  # type: ignore[arg-type]
             else:
-                return operator.neg(values)
+                # error: Argument 1 to "neg" has incompatible type "Union
+                # [ExtensionArray, ndarray[Any, Any]]"; expected
+                # "_SupportsNeg[ndarray[Any, dtype[Any]]]"
+                return operator.neg(values)  # type: ignore[arg-type]
 
         new_data = self._mgr.apply(blk_func)
         res = self._constructor(new_data)
@@ -1495,7 +1501,10 @@ def blk_func(values: ArrayLike):
             if is_bool_dtype(values.dtype):
                 return values.copy()
             else:
-                return operator.pos(values)
+                # error: Argument 1 to "pos" has incompatible type "Union
+                # [ExtensionArray, ndarray[Any, Any]]"; expected
+                # "_SupportsPos[ndarray[Any, dtype[Any]]]"
+                return operator.pos(values)  # type: ignore[arg-type]
 
         new_data = self._mgr.apply(blk_func)
         res = self._constructor(new_data)

pandas/core/indexes/base.py

@@ -4088,7 +4088,11 @@ def _get_nearest_indexer(
 
         op = operator.lt if self.is_monotonic_increasing else operator.le
         indexer = np.where(
-            op(left_distances, right_distances) | (right_indexer == -1),
+            # error: Argument 1&2 has incompatible type "Union[ExtensionArray,
+            # ndarray[Any, Any]]"; expected "Union[SupportsDunderLE,
+            # SupportsDunderGE, SupportsDunderGT, SupportsDunderLT]"
+            op(left_distances, right_distances)  # type: ignore[arg-type]
+            | (right_indexer == -1),
             left_indexer,
             right_indexer,
         )

pandas/io/formats/style.py

@@ -3875,14 +3875,22 @@ def _highlight_between(
         )
 
     g_left = (
-        ops[0](data, left)
+        # error: Argument 2 to "ge" has incompatible type "Union[str, float,
+        # Period, Timedelta, Interval[Any], datetime64, timedelta64, datetime,
+        # Sequence[Any], ndarray[Any, Any], NDFrame]"; expected "Union
+        # [SupportsDunderLE, SupportsDunderGE, SupportsDunderGT, SupportsDunderLT]"
+        ops[0](data, left)  # type: ignore[arg-type]
         if left is not None
         else np.full(data.shape, True, dtype=bool)
     )
     if isinstance(g_left, (DataFrame, Series)):
         g_left = g_left.where(pd.notna(g_left), False)
     l_right = (
-        ops[1](data, right)
+        # error: Argument 2 to "le" has incompatible type "Union[str, float,
+        # Period, Timedelta, Interval[Any], datetime64, timedelta64, datetime,
+        # Sequence[Any], ndarray[Any, Any], NDFrame]"; expected "Union
+        # [SupportsDunderLE, SupportsDunderGE, SupportsDunderGT, SupportsDunderLT]"
+        ops[1](data, right)  # type: ignore[arg-type]
         if right is not None
         else np.full(data.shape, True, dtype=bool)
     )

requirements-dev.txt

@@ -12,7 +12,7 @@ flake8==4.0.1
 flake8-bugbear==21.3.2
 flake8-comprehensions==3.7.0
 isort>=5.2.1
-mypy==0.931
+mypy==0.941
 pre-commit>=2.9.2
 pycodestyle
 pyupgrade