🤖 Lint code

ivy/functional/backends/mxnet/general.py

@@ -1,5 +1,5 @@
 import mxnet as mx
-from typing import Union, Optional, Tuple
+from typing import Union, Optional
 import numpy as np
 
 from ivy.utils.exceptions import IvyNotImplementedException

ivy/functional/backends/paddle/general.py

@@ -1,7 +1,7 @@
 """Collection of Paddle general functions, wrapped to fit Ivy syntax and signature."""
 # global
 from numbers import Number
-from typing import Optional, Union, Sequence, Callable, List, Tuple
+from typing import Optional, Union, Sequence, Callable, List
 import paddle
 import numpy as np
 import multiprocessing as _multiprocessing

ivy/functional/backends/tensorflow/general.py

@@ -6,7 +6,7 @@
 """
 
 # global
-from typing import Optional, Union, Sequence, Callable, Tuple
+from typing import Optional, Union, Sequence, Callable
 import numpy as np
 import multiprocessing as _multiprocessing
 from numbers import Number

ivy/functional/backends/torch/general.py

@@ -1,10 +1,9 @@
 """Collection of PyTorch general functions, wrapped to fit Ivy syntax and signature."""
 # global
 from functools import reduce as _reduce
-import math
 from numbers import Number
 from operator import mul
-from typing import Optional, Union, Sequence, Callable, List, Tuple
+from typing import Optional, Union, Sequence, Callable, List
 
 try:
     import functorch

ivy/functional/frontends/jax/__init__.py

@@ -7,7 +7,7 @@
 from . import devicearray
 from .devicearray import DeviceArray
 from . import general_functions
-from .general_functions import *
+from .general_functions import ivy
 from . import lax
 from . import nn
 from . import numpy

ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_manipulation.py

@@ -470,7 +470,7 @@ def test_paddle_broadcast_to(
         x=x[0],
         shape=shape,
     )
-    
+
 
 @st.composite
 def _gather_helper(draw):
@@ -518,8 +518,8 @@ def test_paddle_gather(
         param=param[0],
         indices=indices[0],
     )
-    
-    
+
+
 # flip
 @st.composite
 def _dtype_x_axis(draw, **kwargs):