feat(Numpy-frontend): Added eigvals function to numpy frontend (ivy-l…

…lc#22920)

Co-authored-by: hirwa-nshuti <[email protected]>

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

@@ -17,6 +17,11 @@ def eigh(a, /, UPLO="L"):
     return ivy.eigh(a, UPLO=UPLO)
 
 
+@to_ivy_arrays_and_back
+def eigvals(a):
+    return ivy.eig(a)[0]
+
+
 @to_ivy_arrays_and_back
 @from_zero_dim_arrays_to_scalar
 def eigvalsh(a, /, UPLO="L"):

ivy_tests/test_ivy/test_frontends/test_numpy/test_linalg/test_matrix_eigenvalues.py

@@ -130,6 +130,55 @@ def test_numpy_eigh(
         )
 
 
+@handle_frontend_test(
+    fn_tree="numpy.linalg.eigvals",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        min_value=0,
+        max_value=10,
+        shape=helpers.ints(min_value=2, max_value=4).map(lambda x: tuple([x, x])),
+    ).filter(
+        lambda x: "float16" not in x[0]
+        and "bfloat16" not in x[0]
+        and np.linalg.cond(x[1][0]) < 1 / sys.float_info.epsilon
+        and np.linalg.det(np.asarray(x[1][0])) != 0
+    ),
+    test_with_out=st.just(False),
+)
+def test_numpy_eigvals(
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+    backend_fw,
+):
+    dtype, x = dtype_and_x
+    ret, frontend_ret = helpers.test_frontend_function(
+        input_dtypes=dtype,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        test_values=False,
+        a=x,
+    )
+    with BackendHandler.update_backend(backend_fw) as ivy_backend:
+        ret = np.sort(
+            np.array([ivy_backend.to_numpy(x).astype(np.float128) for x in ret])
+        )
+        frontend_ret = np.sort(np.array([x.astype(np.float128) for x in frontend_ret]))
+        assert_all_close(
+            ret_np=ret,
+            ret_from_gt_np=frontend_ret,
+            backend=backend_fw,
+            ground_truth_backend=frontend,
+            atol=1e-2,
+            rtol=1e-2,
+        )
+
+
 # eigvalsh
 @handle_frontend_test(
     fn_tree="numpy.linalg.eigvalsh",