fix: Few simple changes to make the code better (#26329)

.github/pull_request_template.md

@@ -16,7 +16,7 @@ Please use this format to link other issues with their numbers: Close #123
 https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword
 -->
 
-Close #
+Closes #
 
 ## Checklist
 

ivy/func_wrapper.py

@@ -1388,7 +1388,7 @@ def _leaf_has_nans(x):
         return x.has_nans()
     elif ivy.is_array(x):
         return ivy.isnan(x).any()
-    elif x == float("nan"):
+    elif np.isnan(x):
         return True
     return False
 

ivy/functional/frontends/numpy/func_wrapper.py

@@ -243,21 +243,21 @@ def _from_zero_dim_arrays_to_scalar(*args, **kwargs):
                         ret_idx,
                         lambda x: np_frontend.numpy_dtype_to_scalar[ivy.dtype(x)](x),
                     )
-                except KeyError:
+                except KeyError as e:
                     raise ivy.utils.exceptions.IvyException(
                         "Casting to specified type is unsupported"
-                    )
+                    ) from e
                 return tuple(data)
             else:
                 # converting the scalar to float
                 data = ivy.native_array(ret)
                 if data.shape == ():
                     try:
                         return np_frontend.numpy_dtype_to_scalar[ivy.dtype(data)](data)
-                    except KeyError:
+                    except KeyError as e:
                         raise ivy.utils.exceptions.IvyException(
                             f"Casting to {ivy.dtype(data)} is unsupported"
-                        )
+                        ) from e
         return ret
 
     _from_zero_dim_arrays_to_scalar.from_zero_dim_arrays_to_scalar = True