CI: run stubtest (#178)

* CI: run stubtest

* maybe fix windows bug?

* remove allowlist

* isort

* remove non-existing files

* slightly nicer solution?

* fix most default arguments

* remove very few of the many non-existing things

* read_json

Author: twoertwein

docs/tests.md

@@ -11,5 +11,6 @@ Here are the most important options. Fore more details, please use `poe --help`.
   - Run only pytest: `poe pytest`
   - Run only pre-commit: `poe style`
 - Run tests against the installed stubs (this will install and uninstall the stubs): `poe test_dist`
+- Optional: Run stubtest to compare the installed pandas-stubs against pandas (this will fail): `poe stubtest`. If you have created an allowlist to ignore certain errors: `poe stubtest path_to_the_allow_list`
 
 These tests originally came from https://github.com/VirtusLab/pandas-stubs.

pandas-stubs/core/arrays/_arrow_utils.pyi

@@ -67,15 +67,15 @@ class Categorical(ExtensionArray, PandasObject):
     @overload
     def set_ordered(self, value, inplace: Literal[True]) -> None: ...
     @overload
-    def set_ordered(self, value, inplace: Literal[False]) -> Categorical: ...
+    def set_ordered(self, value, inplace: Literal[False] = ...) -> Categorical: ...
     @overload
-    def set_ordered(self, value, inplace: bool) -> Categorical | None: ...
+    def set_ordered(self, value, inplace: bool = ...) -> Categorical | None: ...
     @overload
     def as_ordered(self, inplace: Literal[True]) -> None: ...
     @overload
-    def as_ordered(self, inplace: Literal[False]) -> Categorical: ...
+    def as_ordered(self, inplace: Literal[False] = ...) -> Categorical: ...
     @overload
-    def as_ordered(self, inplace: bool) -> Categorical | None: ...
+    def as_ordered(self, inplace: bool = ...) -> Categorical | None: ...
     @overload
     def as_unordered(self, inplace: Literal[True]) -> None: ...
     @overload
@@ -155,7 +155,7 @@ class Categorical(ExtensionArray, PandasObject):
     def __ge__(self, other) -> bool: ...
     @property
     def shape(self): ...
-    def shift(self, periods, fill_value=...): ...
+    def shift(self, periods=..., fill_value=...): ...
     def __array__(self, dtype=...) -> np.ndarray: ...
     def __array_ufunc__(self, ufunc, method, *inputs, **kwargs): ...
     @property

pandas-stubs/core/arrays/categorical.pyi

@@ -1,6 +1,6 @@
 def set_use_numexpr(v: bool = ...) -> None: ...
 def set_numexpr_threads(n=...) -> None: ...
-def evaluate(op, op_str, a, b, use_numexpr: bool = ...): ...
+def evaluate(op, a, b, use_numexpr: bool = ...): ...
 def where(cond, a, b, use_numexpr: bool = ...): ...
 def set_test_mode(v: bool = ...) -> None: ...
 def get_test_result(): ...

pandas-stubs/core/computation/expressions.pyi

@@ -1,7 +1,7 @@
 import numpy as np
 
 class UndefinedVariableError(NameError):
-    def __init__(self, name, is_local: bool) -> None: ...
+    def __init__(self, name, is_local: bool = ...) -> None: ...
 
 class Term:
     def __new__(cls, name, env, side=..., encoding=...): ...

pandas-stubs/core/computation/ops.pyi

@@ -1291,7 +1291,7 @@ class DataFrame(NDFrame, OpsMixin):
         fill_value: float | None = ...,
     ) -> DataFrame: ...
     def droplevel(
-        self, level: Level | list[Level] = ..., axis: AxisType = ...
+        self, level: Level | list[Level], axis: AxisType = ...
     ) -> DataFrame: ...
     def eq(
         self, other, axis: AxisType = ..., level: Level | None = ...

pandas-stubs/core/frame.pyi

@@ -191,7 +191,7 @@ class Index(IndexOpsMixin, PandasObject):
     def map(self, mapper, na_action=...) -> Index: ...
     def isin(self, values, level=...) -> np_ndarray_bool: ...
     def slice_indexer(self, start=..., end=..., step=..., kind=...): ...
-    def get_slice_bound(self, label, side, kind): ...
+    def get_slice_bound(self, label, side, kind=...): ...
     def slice_locs(self, start=..., end=..., step=..., kind=...): ...
     def delete(self, loc): ...
     def insert(self, loc, item): ...

pandas-stubs/core/indexes/base.pyi

@@ -25,7 +25,7 @@ class CategoricalIndex(ExtensionIndex, accessor.PandasDelegate):
     def __contains__(self, key) -> bool: ...
     def __array__(self, dtype=...) -> np.ndarray: ...
     def astype(self, dtype: DtypeArg, copy: bool = ...) -> Index: ...
-    def fillna(self, value, downcast=...): ...
+    def fillna(self, value=..., downcast=...): ...
     def is_unique(self) -> bool: ...
     @property
     def is_monotonic_increasing(self) -> bool: ...

pandas-stubs/core/indexes/category.pyi

@@ -117,7 +117,7 @@ class MultiIndex(Index):
     def get_indexer_non_unique(self, target): ...
     def reindex(self, target, method=..., level=..., limit=..., tolerance=...): ...
     def get_slice_bound(
-        self, label: Hashable | Sequence[Hashable], side: str, kind: str
+        self, label: Hashable | Sequence[Hashable], side: str, kind: str = ...
     ) -> int: ...
     def slice_locs(self, start=..., end=..., step=..., kind=...): ...
     def get_loc(self, key, method=...): ...