Reduce unnecessary, expensive imports in typing.py and words.py

Author: domdfcoding

domdf_python_tools/typing.py

@@ -41,10 +41,8 @@
 # stdlib
 import os
 import pathlib
-import typing
 from decimal import Decimal
-from json import JSONDecoder, JSONEncoder
-from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Type, Union
+from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Type, TypeVar, Union
 
 # 3rd party
 from typing_extensions import Protocol, runtime_checkable
@@ -53,6 +51,9 @@
 import domdf_python_tools
 
 if TYPE_CHECKING or domdf_python_tools.__docs:  # pragma: no cover
+	# stdlib
+	from json import JSONDecoder, JSONEncoder
+
 	# 3rd party
 	from pandas import DataFrame, Series
 
@@ -63,7 +64,7 @@
 	JSONEncoder.__module__ = "json"
 
 #: .. versionadded:: 1.0.0
-FrameOrSeries = typing.TypeVar("FrameOrSeries", "Series", "DataFrame")
+FrameOrSeries = TypeVar("FrameOrSeries", "Series", "DataFrame")
 
 __all__ = [
 		"PathLike",
@@ -92,7 +93,7 @@
 .. seealso:: :py:obj:`domdf_python_tools.typing.PathType`
 """
 
-PathType = typing.TypeVar("PathType", str, pathlib.Path, os.PathLike)
+PathType = TypeVar("PathType", str, pathlib.Path, os.PathLike)
 """
 Type variable for objects that represent filesystem paths.
 
@@ -138,7 +139,7 @@ def dumps(
 			ensure_ascii: bool = ...,
 			check_circular: bool = ...,
 			allow_nan: bool = ...,
-			cls: Optional[Type[JSONEncoder]] = ...,
+			cls: Optional[Type["JSONEncoder"]] = ...,
 			indent: Union[None, int, str] = ...,
 			separators: Optional[Tuple[str, str]] = ...,
 			default: Optional[Callable[[Any], Any]] = ...,
@@ -165,7 +166,7 @@ def dumps(
 	def loads(
 			s: Union[str, bytes],
 			*,
-			cls: Optional[Type[JSONDecoder]] = ...,
+			cls: Optional[Type["JSONDecoder"]] = ...,
 			object_hook: Optional[Callable[[Dict[Any, Any]], Any]] = ...,
 			parse_float: Optional[Callable[[str], Any]] = ...,
 			parse_int: Optional[Callable[[str], Any]] = ...,

domdf_python_tools/words.py

@@ -38,7 +38,6 @@
 
 # stdlib
 import functools
-import platform
 import random
 import re
 from gettext import ngettext
@@ -48,7 +47,7 @@
 
 # this package
 import domdf_python_tools
-from domdf_python_tools.compat import PYPY, importlib_resources
+from domdf_python_tools.compat import PYPY
 from domdf_python_tools.doctools import prettify_docstrings
 
 __all__ = [
@@ -115,6 +114,9 @@ def get_words_list(min_length: int = 0, max_length: int = -1) -> List[str]:
 	:return: The list of words meeting the above specifiers.
 	"""  # noqa D400
 
+	# this package
+	from domdf_python_tools.compat import importlib_resources
+
 	words: str = importlib_resources.read_text("domdf_python_tools", "google-10000-english-no-swears.txt")
 	words_list: List[str] = words.splitlines()