MAINT: removed unused imports listed in LGTM

13 files changed, 2 insertions, 18 deletions

diff --git a/numpy/compat/py3k.py b/numpy/compat/py3k.py
index e1e236d92..85136ce87 100644
--- a/numpy/compat/py3k.py
+++ b/numpy/compat/py3k.py
@@ -21,9 +21,6 @@ import os
 from pathlib import Path
 import io
 
-import abc
-from abc import ABC as abc_ABC
-
 try:
     import pickle5 as pickle
 except ImportError:
diff --git a/numpy/core/defchararray.py b/numpy/core/defchararray.py
index ab1166ad2..e264fa210 100644
--- a/numpy/core/defchararray.py
+++ b/numpy/core/defchararray.py
@@ -16,7 +16,6 @@ The preferred alias for `defchararray` is `numpy.char`.
 
 """
 import functools
-import sys
 from .numerictypes import (
     string_, unicode_, integer, int_, object_, bool_, character)
 from .numeric import ndarray, compare_chararrays
diff --git a/numpy/core/records.py b/numpy/core/records.py
index 5bd13a698..b3474ad01 100644
--- a/numpy/core/records.py
+++ b/numpy/core/records.py
@@ -33,7 +33,6 @@ Record arrays allow us to access fields as properties::
   array([2., 2.])
 
 """
-import os
 import warnings
 from collections import Counter
 from contextlib import nullcontext
diff --git a/numpy/core/umath.py b/numpy/core/umath.py
index 6a5474ffe..c49fc1460 100644
--- a/numpy/core/umath.py
+++ b/numpy/core/umath.py
@@ -11,7 +11,7 @@ from ._multiarray_umath import *  # noqa: F403
 # These imports are needed for backward compatibility,
 # do not change them. issue gh-11862
 # _ones_like is semi-public, on purpose not added to __all__
-from ._multiarray_umath import _UFUNC_API, _add_newdoc_ufunc, _ones_like
+from ._multiarray_umath import _UFUNC_API, _add_newdoc_ufunc
 
 __all__ = [
     '_UFUNC_API', 'ERR_CALL', 'ERR_DEFAULT', 'ERR_IGNORE', 'ERR_LOG',
diff --git a/numpy/distutils/fcompiler/nv.py b/numpy/distutils/fcompiler/nv.py
index 8e9f16835..212f34806 100644
--- a/numpy/distutils/fcompiler/nv.py
+++ b/numpy/distutils/fcompiler/nv.py
@@ -1,5 +1,3 @@
-import sys
-
 from numpy.distutils.fcompiler import FCompiler
 
 compilers = ['NVHPCFCompiler']
diff --git a/numpy/distutils/mingw32ccompiler.py b/numpy/distutils/mingw32ccompiler.py
index 4681d403b..c1e9937f4 100644
--- a/numpy/distutils/mingw32ccompiler.py
+++ b/numpy/distutils/mingw32ccompiler.py
@@ -15,7 +15,6 @@ import re
 import textwrap
 
 # Overwrite certain distutils.ccompiler functions:
-import numpy.distutils.ccompiler  # noqa: F401
 from numpy.distutils import log
 # NT stuff
 # 1. Make sure libpython<version>.a exists for gcc.  If not, build it.
diff --git a/numpy/f2py/crackfortran.py b/numpy/f2py/crackfortran.py
index 6453bbecb..984bd642b 100755
--- a/numpy/f2py/crackfortran.py
+++ b/numpy/f2py/crackfortran.py
@@ -139,7 +139,6 @@ TODO:
     The above may be solved by creating appropriate preprocessor program, for example.
 
 """
-import io
 import sys
 import string
 import fileinput
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 783d45c2f..709a33c84 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -33,7 +33,6 @@ from numpy.core.umath import _add_newdoc_ufunc as add_newdoc_ufunc
 import builtins
 
 # needed in this module for compatibility
-from numpy.lib.histograms import histogram, histogramdd
 
 
 array_function_dispatch = functools.partial(
diff --git a/numpy/lib/npyio.py b/numpy/lib/npyio.py
index 9552579cf..0208da9ac 100644
--- a/numpy/lib/npyio.py
+++ b/numpy/lib/npyio.py
@@ -1,4 +1,3 @@
-import sys
 import os
 import re
 import functools
diff --git a/numpy/ma/core.py b/numpy/ma/core.py
index 63d42ecca..4c204cac2 100644
--- a/numpy/ma/core.py
+++ b/numpy/ma/core.py
@@ -40,7 +40,6 @@ from numpy.compat import (
 from numpy import expand_dims
 from numpy.core.numeric import normalize_axis_tuple
 from numpy.core._internal import recursive
-from numpy.compat import pickle
 
 
 __all__ = [
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py
index bd5fc2ca3..c139f4640 100644
--- a/numpy/ma/extras.py
+++ b/numpy/ma/extras.py
@@ -33,7 +33,6 @@ from .core import (
 
 import numpy as np
 from numpy import ndarray, array as nxarray
-import numpy.core.umath as umath
 from numpy.core.multiarray import normalize_axis_index
 from numpy.core.numeric import normalize_axis_tuple
 from numpy.lib.function_base import _ureduce
diff --git a/numpy/typing/_array_like.py b/numpy/typing/_array_like.py
index 9f57b2295..2283c98d7 100644
--- a/numpy/typing/_array_like.py
+++ b/numpy/typing/_array_like.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import sys
-from typing import Any, overload, Sequence, TYPE_CHECKING, Union, TypeVar
+from typing import Any, Sequence, TYPE_CHECKING, Union, TypeVar
 
 from numpy import (
     ndarray,
@@ -20,7 +20,6 @@ from numpy import (
     str_,
     bytes_,
 )
-from ._dtype_like import DTypeLike
 
 if sys.version_info >= (3, 8):
     from typing import Protocol
diff --git a/numpy/typing/_callable.py b/numpy/typing/_callable.py
index d9cb0f157..8f838f1ae 100644
--- a/numpy/typing/_callable.py
+++ b/numpy/typing/_callable.py
@@ -43,11 +43,9 @@ from ._scalars import (
     _BoolLike_co,
     _IntLike_co,
     _FloatLike_co,
-    _ComplexLike_co,
     _NumberLike_co,
 )
 from . import NBitBase
-from ._array_like import ArrayLike
 from ._generic_alias import NDArray
 
 if sys.version_info >= (3, 8):