diff --git a/pandas-stubs/_typing.pyi b/pandas-stubs/_typing.pyi
index d140b79d5..d7eb64837 100644
--- a/pandas-stubs/_typing.pyi
+++ b/pandas-stubs/_typing.pyi
@@ -31,6 +31,7 @@ from pandas.core.generic import NDFrame
 from pandas.core.groupby.grouper import Grouper
 from pandas.core.indexes.base import Index
 from pandas.core.series import Series
+from pandas.core.tools.datetimes import FulldatetimeDict
 from typing_extensions import (
     ParamSpec,
     TypeAlias,
@@ -73,22 +74,6 @@ DatetimeDictArg: TypeAlias = (
 )
 DictConvertible: TypeAlias = FulldatetimeDict | DataFrame
 
-class YearMonthDayDict(TypedDict, total=True):
-    year: DatetimeDictArg
-    month: DatetimeDictArg
-    day: DatetimeDictArg
-
-class FulldatetimeDict(YearMonthDayDict, total=False):
-    hour: DatetimeDictArg
-    hours: DatetimeDictArg
-    minute: DatetimeDictArg
-    minutes: DatetimeDictArg
-    second: DatetimeDictArg
-    seconds: DatetimeDictArg
-    ms: DatetimeDictArg
-    us: DatetimeDictArg
-    ns: DatetimeDictArg
-
 CorrelationMethod: TypeAlias = (
     Literal["pearson", "kendall", "spearman"]
     | Callable[[np.ndarray, np.ndarray], float]
diff --git a/pandas-stubs/core/tools/datetimes.pyi b/pandas-stubs/core/tools/datetimes.pyi
index 9210d4bd9..6d45eef4d 100644
--- a/pandas-stubs/core/tools/datetimes.pyi
+++ b/pandas-stubs/core/tools/datetimes.pyi
@@ -5,6 +5,7 @@ from datetime import (
 )
 from typing import (
     Literal,
+    TypedDict,
     overload,
 )
 
@@ -37,6 +38,24 @@ DatetimeScalar: TypeAlias = Scalar | datetime | np.datetime64 | date
 
 DatetimeScalarOrArrayConvertible: TypeAlias = DatetimeScalar | ArrayConvertible
 
+DatetimeDictArg: TypeAlias = list[Scalar] | tuple[Scalar, ...] | AnyArrayLike
+
+class YearMonthDayDict(TypedDict, total=True):
+    year: DatetimeDictArg
+    month: DatetimeDictArg
+    day: DatetimeDictArg
+
+class FulldatetimeDict(YearMonthDayDict, total=False):
+    hour: DatetimeDictArg
+    hours: DatetimeDictArg
+    minute: DatetimeDictArg
+    minutes: DatetimeDictArg
+    second: DatetimeDictArg
+    seconds: DatetimeDictArg
+    ms: DatetimeDictArg
+    us: DatetimeDictArg
+    ns: DatetimeDictArg
+
 @overload
 def to_datetime(
     arg: DatetimeScalar,
diff --git a/tests/__init__.py b/tests/__init__.py
index 2dcce20af..7b5c93b58 100644
--- a/tests/__init__.py
+++ b/tests/__init__.py
@@ -14,12 +14,39 @@
 )
 
 import numpy as np
+import numpy.typing as npt
 import pandas as pd
+
+# Next set of imports is to keep the private imports needed for testing
+# in one place
+from pandas._testing import ensure_clean as ensure_clean
 from pandas.core.groupby.groupby import BaseGroupBy
 from pandas.util.version import Version
 import pytest
 
-from pandas._typing import T
+if TYPE_CHECKING:
+    from pandas._typing import (
+        BooleanDtypeArg as BooleanDtypeArg,
+        BytesDtypeArg as BytesDtypeArg,
+        CategoryDtypeArg as CategoryDtypeArg,
+        ComplexDtypeArg as ComplexDtypeArg,
+        Dtype as Dtype,
+        FloatDtypeArg as FloatDtypeArg,
+        IntDtypeArg as IntDtypeArg,
+        ObjectDtypeArg as ObjectDtypeArg,
+        StrDtypeArg as StrDtypeArg,
+        T as T,
+        TimedeltaDtypeArg as TimedeltaDtypeArg,
+        TimestampDtypeArg as TimestampDtypeArg,
+        UIntDtypeArg as UIntDtypeArg,
+        VoidDtypeArg as VoidDtypeArg,
+        np_ndarray_bool as np_ndarray_bool,
+        np_ndarray_int as np_ndarray_int,
+    )
+else:
+    # Separately define here so pytest works
+    np_ndarray_bool = npt.NDArray[np.bool_]
+    np_ndarray_int = npt.NDArray[np.signedinteger]
 
 TYPE_CHECKING_INVALID_USAGE: Final = TYPE_CHECKING
 WINDOWS = os.name == "nt" or "cygwin" in platform.system().lower()
diff --git a/tests/extension/decimal/array.py b/tests/extension/decimal/array.py
index 0bf86335d..0a9b4e2bb 100644
--- a/tests/extension/decimal/array.py
+++ b/tests/extension/decimal/array.py
@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+from builtins import type as type_t
 import decimal
 import numbers
 import sys
@@ -24,7 +25,6 @@
 
 from pandas._typing import (
     TakeIndexer,
-    type_t,
 )
 
 from pandas.core.dtypes.base import ExtensionDtype
diff --git a/tests/test_api_typing.py b/tests/test_api_typing.py
index 8ccca9e58..358d3acca 100644
--- a/tests/test_api_typing.py
+++ b/tests/test_api_typing.py
@@ -2,7 +2,7 @@
 
 import numpy as np
 import pandas as pd
-from pandas._testing import ensure_clean
+from pandas import read_json
 from pandas.api.typing import (
     DataFrameGroupBy,
     DatetimeIndexResamplerGroupby,
@@ -29,9 +29,10 @@
     assert_type,
 )
 
-from tests import check
-
-from pandas.io.json._json import read_json
+from tests import (
+    check,
+    ensure_clean,
+)
 
 ResamplerGroupBy: TypeAlias = (
     DatetimeIndexResamplerGroupby
diff --git a/tests/test_dtypes.py b/tests/test_dtypes.py
index 3736fd09f..4be3994a5 100644
--- a/tests/test_dtypes.py
+++ b/tests/test_dtypes.py
@@ -14,6 +14,10 @@
 import numpy as np
 import pandas as pd
 from pandas.api.types import is_any_real_numeric_dtype
+from pandas.api.typing import (
+    NaTType,
+    NAType,
+)
 from pandas.core.arrays import (
     BooleanArray,
     IntegerArray,
@@ -21,8 +25,6 @@
 import pyarrow as pa
 from typing_extensions import assert_type
 
-from pandas._libs import NaTType
-from pandas._libs.missing import NAType
 from pandas._typing import Scalar
 
 from tests import (
diff --git a/tests/test_frame.py b/tests/test_frame.py
index 47dbc6460..9859a84a6 100644
--- a/tests/test_frame.py
+++ b/tests/test_frame.py
@@ -31,7 +31,8 @@
 import numpy as np
 import numpy.typing as npt
 import pandas as pd
-from pandas._testing import ensure_clean
+from pandas import Timestamp
+from pandas.api.typing import NAType
 from pandas.core.resample import (
     DatetimeIndexResampler,
     Resampler,
@@ -44,14 +45,13 @@
 )
 import xarray as xr
 
-from pandas._libs.missing import NAType
-from pandas._libs.tslibs.timestamps import Timestamp
 from pandas._typing import Scalar
 
 from tests import (
     PD_LTE_22,
     TYPE_CHECKING_INVALID_USAGE,
     check,
+    ensure_clean,
     pytest_warns_bounded,
 )
 
diff --git a/tests/test_indexes.py b/tests/test_indexes.py
index f704993c9..feea7535b 100644
--- a/tests/test_indexes.py
+++ b/tests/test_indexes.py
@@ -1,7 +1,10 @@
 from __future__ import annotations
 
 import datetime as dt
-from typing import Union
+from typing import (
+    TYPE_CHECKING,
+    Union,
+)
 
 import numpy as np
 from numpy import typing as npt
@@ -13,7 +16,8 @@
     assert_type,
 )
 
-from pandas._typing import Dtype  # noqa: F401
+if TYPE_CHECKING:
+    from tests import Dtype  # noqa: F401
 
 from tests import (
     PD_LTE_22,
diff --git a/tests/test_io.py b/tests/test_io.py
index c1910b841..32df677ba 100644
--- a/tests/test_io.py
+++ b/tests/test_io.py
@@ -40,7 +40,7 @@
     read_table,
     read_xml,
 )
-from pandas._testing import ensure_clean
+from pandas.api.typing import JsonReader
 import pytest
 import sqlalchemy
 import sqlalchemy.orm
@@ -51,11 +51,11 @@
     TYPE_CHECKING_INVALID_USAGE,
     WINDOWS,
     check,
+    ensure_clean,
 )
 from tests import NUMPY20  # See https://github.com/PyTables/PyTables/issues/1172
 
 from pandas.io.api import to_pickle
-from pandas.io.json._json import JsonReader
 from pandas.io.parsers import TextFileReader
 from pandas.io.pytables import (
     TableIterator,
diff --git a/tests/test_pandas.py b/tests/test_pandas.py
index be8d9b80a..b9ff22c86 100644
--- a/tests/test_pandas.py
+++ b/tests/test_pandas.py
@@ -13,6 +13,10 @@
 import pandas as pd
 from pandas import Grouper
 from pandas.api.extensions import ExtensionArray
+from pandas.api.typing import (
+    NaTType,
+    NAType,
+)
 import pandas.util as pdutil
 
 # TODO: github.com/pandas-dev/pandas/issues/55023
@@ -23,8 +27,6 @@
     assert_type,
 )
 
-from pandas._libs.missing import NAType
-from pandas._libs.tslibs import NaTType
 from pandas._typing import Scalar
 
 from tests import (
diff --git a/tests/test_scalars.py b/tests/test_scalars.py
index 0b130320b..3d8125e93 100644
--- a/tests/test_scalars.py
+++ b/tests/test_scalars.py
@@ -13,16 +13,13 @@
 import numpy as np
 from numpy import typing as npt
 import pandas as pd
+from pandas.api.typing import NaTType
 import pytz
 from typing_extensions import (
     TypeAlias,
     assert_type,
 )
 
-from pandas._libs.tslibs import (
-    BaseOffset,
-    NaTType,
-)
 from pandas._libs.tslibs.timedeltas import Components
 from pandas._typing import TimeUnit
 
@@ -32,7 +29,10 @@
     pytest_warns_bounded,
 )
 
-from pandas.tseries.offsets import Day
+from pandas.tseries.offsets import (
+    BaseOffset,
+    Day,
+)
 
 if TYPE_CHECKING:
     from pandas.core.series import (
@@ -42,14 +42,14 @@
         TimestampSeries,
     )
 
-    from pandas._typing import np_ndarray_bool
 else:
-    np_ndarray_bool = npt.NDArray[np.bool_]
     TimedeltaSeries: TypeAlias = pd.Series
     TimestampSeries: TypeAlias = pd.Series
     PeriodSeries: TypeAlias = pd.Series
     OffsetSeries: TypeAlias = pd.Series
 
+from tests import np_ndarray_bool
+
 
 def test_interval() -> None:
     interval_i = pd.Interval(0, 1, closed="left")
diff --git a/tests/test_series.py b/tests/test_series.py
index f84648df1..79ec2c7a5 100644
--- a/tests/test_series.py
+++ b/tests/test_series.py
@@ -25,11 +25,11 @@
 
 import numpy as np
 import pandas as pd
-from pandas._testing import ensure_clean
 from pandas.api.extensions import (
     ExtensionArray,
     ExtensionDtype,
 )
+from pandas.api.typing import NAType
 from pandas.core.arrays.datetimes import DatetimeArray
 from pandas.core.arrays.timedeltas import TimedeltaArray
 from pandas.core.window import ExponentialMovingWindow
@@ -43,9 +43,6 @@
 )
 import xarray as xr
 
-from pandas._libs.missing import NAType
-from pandas._libs.tslibs import BaseOffset
-from pandas._libs.tslibs.offsets import YearEnd
 from pandas._typing import (
     DtypeObj,
     Scalar,
@@ -56,11 +53,16 @@
     TYPE_CHECKING_INVALID_USAGE,
     WINDOWS,
     check,
+    ensure_clean,
     pytest_warns_bounded,
 )
 from tests.extension.decimal.array import DecimalDtype
 
 from pandas.io.formats.format import EngFormatter
+from pandas.tseries.offsets import (
+    BaseOffset,
+    YearEnd,
+)
 
 if TYPE_CHECKING:
     from pandas.core.series import (
@@ -68,13 +70,8 @@
         TimedeltaSeries,
         TimestampSeries,
     )
-else:
-    TimedeltaSeries: TypeAlias = pd.Series
-    TimestampSeries: TypeAlias = pd.Series
-    OffsetSeries: TypeAlias = pd.Series
 
-if TYPE_CHECKING:
-    from pandas._typing import (
+    from tests import (
         BooleanDtypeArg,
         BytesDtypeArg,
         CategoryDtypeArg,
@@ -88,7 +85,12 @@
         UIntDtypeArg,
         VoidDtypeArg,
     )
-    from pandas._typing import np_ndarray_int  # noqa: F401
+    from tests import np_ndarray_int  # noqa: F401
+
+else:
+    TimedeltaSeries: TypeAlias = pd.Series
+    TimestampSeries: TypeAlias = pd.Series
+    OffsetSeries: TypeAlias = pd.Series
 
 
 # Tests will use numpy 2.1 in python 3.10 or later
diff --git a/tests/test_string_accessors.py b/tests/test_string_accessors.py
index 4e83160f8..649dae780 100644
--- a/tests/test_string_accessors.py
+++ b/tests/test_string_accessors.py
@@ -2,15 +2,13 @@
 import re
 
 import numpy as np
-import numpy.typing as npt
 import pandas as pd
 from typing_extensions import assert_type
 
-from tests import check
-
-# Separately define here so pytest works
-np_ndarray_bool = npt.NDArray[np.bool_]
-
+from tests import (
+    check,
+    np_ndarray_bool,
+)
 
 DATA = ["applep", "bananap", "Cherryp", "DATEp", "eGGpLANTp", "123p", "23.45p"]
 DATA_BYTES = [b"applep", b"bananap"]
diff --git a/tests/test_styler.py b/tests/test_styler.py
index 976b5a110..3293a173d 100644
--- a/tests/test_styler.py
+++ b/tests/test_styler.py
@@ -16,13 +16,15 @@
     Index,
     Series,
 )
-from pandas._testing import ensure_clean
 import pytest
 from typing_extensions import assert_type
 
 from pandas._typing import Scalar
 
-from tests import check
+from tests import (
+    check,
+    ensure_clean,
+)
 
 from pandas.io.formats.style import Styler
 
diff --git a/tests/test_testing.py b/tests/test_testing.py
index 00566a8a9..c4ca7a876 100644
--- a/tests/test_testing.py
+++ b/tests/test_testing.py
@@ -3,7 +3,6 @@
 import os.path
 
 import pandas as pd
-from pandas._testing import ensure_clean
 from pandas.testing import (
     assert_frame_equal,
     assert_series_equal,
@@ -13,6 +12,7 @@
 from tests import (
     TYPE_CHECKING_INVALID_USAGE,
     check,
+    ensure_clean,
 )
 
 
diff --git a/tests/test_timefuncs.py b/tests/test_timefuncs.py
index ab5a3fe75..6f009256b 100644
--- a/tests/test_timefuncs.py
+++ b/tests/test_timefuncs.py
@@ -3,7 +3,6 @@
 import datetime as dt
 from typing import (
     TYPE_CHECKING,
-    Any,
     Optional,
     cast,
 )
@@ -20,22 +19,14 @@
 import numpy as np
 from numpy import typing as npt
 import pandas as pd
+from pandas.api.typing import NaTType
+from pandas.core.tools.datetimes import FulldatetimeDict
 import pytz
 from typing_extensions import (
     assert_never,
     assert_type,
 )
 
-from pandas._libs import NaTType
-from pandas._libs.tslibs import BaseOffset
-
-from pandas.tseries.frequencies import to_offset
-from pandas.tseries.offsets import DateOffset
-
-if TYPE_CHECKING:
-    from pandas._typing import FulldatetimeDict
-else:
-    FulldatetimeDict = Any
 from pandas._typing import TimeUnit
 
 from tests import (
@@ -45,12 +36,15 @@
     pytest_warns_bounded,
 )
 
+from pandas.tseries.frequencies import to_offset
 from pandas.tseries.holiday import USFederalHolidayCalendar
 from pandas.tseries.offsets import (
+    BaseOffset,
     BusinessDay,
     BusinessHour,
     CustomBusinessDay,
     CustomBusinessHour,
+    DateOffset,
     Day,
 )
 
@@ -59,9 +53,7 @@
     from pandas.core.series import TimedeltaSeries  # noqa: F401
     from pandas.core.series import TimestampSeries  # noqa: F401
 
-
-# Separately define here so pytest works
-np_ndarray_bool = npt.NDArray[np.bool_]
+from tests import np_ndarray_bool
 
 
 def test_types_init() -> None: