Fix imag function for Numpy frontend

ivy/functional/frontends/numpy/mathematical_functions/handling_complex_numbers.py

@@ -1,19 +1,10 @@
 # global
 import ivy
-from ivy.functional.frontends.numpy import promote_types_of_numpy_inputs
 from ivy.functional.frontends.numpy.func_wrapper import (
     to_ivy_arrays_and_back,
-    handle_numpy_casting,
-    handle_numpy_dtype,
-    from_zero_dim_arrays_to_scalar,
-    handle_numpy_out,
 )
 
 
-# @handle_numpy_dtype
-# @to_ivy_arrays_and_back
-# @from_zero_dim_arrays_to_scalar
+@to_ivy_arrays_and_back
 def _imag(val):
-    # if dtype:
-    #     val = [ivy.astype(ivy.array(v), ivy.as_ivy_dtype(dtype)) for v in val]
-    return ivy.imag(val)
+    return ivy.imag(val)

ivy_tests/test_ivy/test_frontends/test_numpy/test_mathematical_functions/test_handling_complex_numbers.py

@@ -1,19 +1,15 @@
 # global
-from hypothesis import assume, given, strategies as st
-import numpy as np
+from hypothesis import strategies as st
 
 # local
 import ivy_tests.test_ivy.helpers as helpers
-import ivy_tests.test_ivy.test_frontends.test_numpy.helpers as np_frontend_helpers
 from ivy_tests.test_ivy.helpers import handle_frontend_test
 
 
 # imag
 @handle_frontend_test(
     fn_tree="numpy.imag",
-    dtype_and_x=helpers.dtype_and_values(
-        available_dtypes=helpers.get_dtypes("numeric")
-    ),
+    dtype_and_x=helpers.dtype_and_values(available_dtypes=helpers.get_dtypes("valid")),
     test_with_out=st.just(False),
 )
 def test_numpy_imag(
@@ -30,6 +26,5 @@ def test_numpy_imag(
         test_flags=test_flags,
         fn_tree=fn_tree,
         on_device=on_device,
-        test_values=False,
-        val=x,
-    )
+        val=x[0],
+    )