Adding (ivy-llc#10585)

Co-authored-by: MahmoudAshraf97 <[email protected]>

ivy/array/experimental/statistical.py

@@ -287,9 +287,12 @@ def nanmedian(
         overwrite_input
             If True, then allow use of memory of input array a for calculations.
             The input array will be modified by the call to median. This will
-            save memory when you do not need to preserve the contents of the input array.
-            Treat the input as undefined, but it will probably be fully or partially sorted.
-            Default is False. If overwrite_input is True and a is not already an ndarray,
+            save memory when you do not need to
+            preserve the contents of the input array.
+            Treat the input as undefined, but it will
+            probably be fully or partially sorted.
+            Default is False. If overwrite_input
+            is True and a is not already an ndarray,
             an error will be raised.
         out
             optional output array, for writing the result to.

ivy/container/experimental/statistical.py

@@ -551,10 +551,10 @@ def quantile(
         >>> b = a.quantile(q, axis = 0, interpolation="lower")
         >>> print(b)
         {
-            x: ivy.array([[3., 2., 1.], 
+            x: ivy.array([[3., 2., 1.],
                         [3., 2., 1.]]),
             y: ivy.array([1., 3.])
-        }   
+        }
         """
         return self.static_quantile(
             self,
@@ -756,10 +756,12 @@ def nanmedian(
             keepdims any exceptions will be raised.
         overwrite_input
             If True, then allow use of memory of input array a for calculations.
-            The input array will be modified by the call to median. This will
-            save memory when you do not need to preserve the contents of the input array.
-            Treat the input as undefined, but it will probably be fully or partially sorted.
-            Default is False. If overwrite_input is True and a is not already an ndarray,
+            The input array will be modified by the call to median.
+            This will save memory when you do not need to preserve
+            the contents of the input array.Treat the input as undefined,
+            but it will probably be fully or partially sorted.
+            Default is False. If overwrite_input is True and
+            a is not already an ndarray,
             an error will be raised.
         out
             optional output array, for writing the result to.

ivy/functional/frontends/numpy/linalg/solving_equations_and_inverting_matrices.py

@@ -6,6 +6,7 @@
 from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
 from ivy.functional.frontends.numpy.linalg.norms_and_other_numbers import matrix_rank
 
+
 # solve
 @with_unsupported_dtypes({"1.23.0 and below": ("float16",)}, "numpy")
 @to_ivy_arrays_and_back

ivy/inspection.py

@@ -106,7 +106,7 @@ def fn_array_spec(fn):
     """
     try:  # this is because it raises error if python version 3.8.0, in certain cases
         type_hints = get_type_hints(fn)
-    except Exception as e:
+    except Exception:
         type_hints = dict()
     array_idxs = list()
     for i, (k, v) in enumerate(type_hints.items()):