feat: add Numpy take function and its test (#27462)

ivy/functional/frontends/numpy/indexing_routines/indexing_like_operations.py

@@ -98,3 +98,9 @@ def tril_indices(n, k=0, m=None):
 def unravel_index(indices, shape, order="C"):
     ret = [x.astype("int64") for x in ivy.unravel_index(indices, shape)]
     return tuple(ret)
+
+
+@to_ivy_arrays_and_back
+@handle_numpy_out
+def take(a, indices, /, *, axis=None, out=None, mode="raise"):
+    return ivy.take(a, indices, axis=axis, out=out, mode=mode)

ivy_tests/test_ivy/test_frontends/test_numpy/test_indexing_routines/test_indexing_like_operations.py

@@ -184,3 +184,42 @@ def test_numpy_take_along_axis(
         indices=indices,
         axis=axis,
     )
+
+
+@handle_frontend_test(
+    fn_tree="numpy.take",
+    dtype_x_indices_axis=helpers.array_indices_axis(
+        array_dtypes=helpers.get_dtypes("valid"),
+        indices_dtypes=["int32", "int64"],
+        min_num_dims=1,
+        max_num_dims=3,
+        min_dim_size=1,
+        max_dim_size=5,
+        indices_same_dims=True,
+        valid_bounds=False,
+    ),
+    mode=st.sampled_from(["clip", "wrap"]),
+)
+def test_numpy_take(
+    *,
+    dtype_x_indices_axis,
+    mode,
+    test_flags,
+    frontend,
+    backend_fw,
+    fn_tree,
+    on_device,
+):
+    dtypes, x, indices, axis, _ = dtype_x_indices_axis
+    helpers.test_frontend_function(
+        input_dtypes=dtypes,
+        backend_to_test=backend_fw,
+        test_flags=test_flags,
+        frontend=frontend,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        a=x,
+        indices=indices,
+        axis=axis,
+        mode=mode,
+    )