clean: remove several undocumented definitions: Resolution, tslibs/vectorized, tslibs/tzconversion, some period.pyi functions (#1154)

clean: remove several undocumented definitions

Author: MarcoGorelli

pandas-stubs/_libs/tslibs/dtypes.pyi

@@ -1,6 +1,3 @@
-from enum import Enum
-from typing import cast
-
 from .offsets import BaseOffset
 
 class PeriodDtypeBase:
@@ -28,26 +25,3 @@ class FreqGroup:
 
     @staticmethod
     def get_freq_group(code: int) -> int: ...
-
-class Resolution(Enum):
-    RESO_NS = cast(int, ...)
-    RESO_US = cast(int, ...)
-    RESO_MS = cast(int, ...)
-    RESO_SEC = cast(int, ...)
-    RESO_MIN = cast(int, ...)
-    RESO_HR = cast(int, ...)
-    RESO_DAY = cast(int, ...)
-    RESO_MTH = cast(int, ...)
-    RESO_QTR = cast(int, ...)
-    RESO_YR = cast(int, ...)
-
-    def __lt__(self, other) -> bool: ...
-    def __ge__(self, other) -> bool: ...
-    @property
-    def freq_group(self) -> int: ...
-    @property
-    def attrname(self) -> str: ...
-    @classmethod
-    def from_attrname(cls, attrname: str) -> Resolution: ...
-    @classmethod
-    def get_reso_from_freq(cls, freq: str) -> Resolution: ...

pandas-stubs/_libs/tslibs/tzconversion.pyi

@@ -9,10 +9,7 @@ from pandas.core.arrays.datetimes import DatetimeArray as DatetimeArray
 from pandas.core.arrays.integer import IntegerArray as IntegerArray
 from pandas.core.arrays.interval import IntervalArray as IntervalArray
 from pandas.core.arrays.numpy_ import PandasArray as PandasArray
-from pandas.core.arrays.period import (
-    PeriodArray as PeriodArray,
-    period_array as period_array,
-)
+from pandas.core.arrays.period import PeriodArray as PeriodArray
 from pandas.core.arrays.sparse import SparseArray as SparseArray
 from pandas.core.arrays.string_ import StringArray as StringArray
 from pandas.core.arrays.timedeltas import TimedeltaArray as TimedeltaArray

pandas-stubs/_libs/tslibs/vectorized.pyi

@@ -1,5 +1,3 @@
-from collections.abc import Sequence
-
 import numpy as np
 from pandas import PeriodDtype
 from pandas.core.arrays.datetimelike import (
@@ -10,8 +8,6 @@ from pandas.core.arrays.datetimelike import (
 from pandas._libs.tslibs import Timestamp
 from pandas._libs.tslibs.period import Period
 
-from pandas.tseries.offsets import Tick
-
 class PeriodArray(DatetimeLikeArrayMixin, DatelikeOps):
     __array_priority__: int = ...
     def __init__(self, values, freq=..., dtype=..., copy: bool = ...) -> None: ...
@@ -44,12 +40,3 @@ class PeriodArray(DatetimeLikeArrayMixin, DatelikeOps):
     def to_timestamp(self, freq: str | None = ..., how: str = ...) -> Timestamp: ...
     def asfreq(self, freq: str | None = ..., how: str = ...) -> Period: ...
     def astype(self, dtype, copy: bool = ...): ...
-
-def raise_on_incompatible(left, right): ...
-def period_array(
-    data: Sequence[Period | None],
-    freq: str | Tick | None = ...,
-    copy: bool = ...,
-) -> PeriodArray: ...
-def validate_dtype_freq(dtype, freq): ...
-def dt64arr_to_periodarr(data, freq, tz=...): ...