Merge pull request #13380 from rajshukla1102/unravelissue

numpy's frontend unravel_index function

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

@@ -47,3 +47,10 @@ def indices(dimensions, dtype=int, sparse=False):
         else:
             res[i] = idx
     return res
+
+
+# unravel_index
+@to_ivy_arrays_and_back
+def unravel_index(indices, shape, order='C'):
+    ret = [x.astype("int64") for x in ivy.unravel_index(indices, shape)]
+    return tuple(ret)

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

@@ -1,5 +1,6 @@
 # Testing Function
 # global
+import numpy as np
 from hypothesis import strategies as st
 
 # local
@@ -190,3 +191,50 @@ def test_indices(
         dtype=dtype[0],
         sparse=sparse,
     )
+
+
+# unravel_index
+@st.composite
+def max_value_as_shape_prod(draw):
+    shape = draw(
+        helpers.get_shape(
+            min_num_dims=1,
+            max_num_dims=5,
+            min_dim_size=1,
+            max_dim_size=5,
+        )
+    )
+    dtype_and_x = draw(
+        helpers.dtype_values_axis(
+            available_dtypes=helpers.get_dtypes("valid"),
+            min_value=0,
+            max_value=np.prod(shape) - 1,
+        )
+    )
+    return dtype_and_x, shape
+
+
+@handle_frontend_test(
+    fn_tree="numpy.unravel_index",
+    dtype_x_shape=max_value_as_shape_prod(),
+    test_with_out=st.just(False),
+)
+def test_numpy_unravel_index(
+    *,
+    dtype_x_shape,
+    test_flags,
+    frontend,
+    fn_tree,
+    on_device,
+):
+    dtype_and_x, shape = dtype_x_shape
+    input_dtype, x = dtype_and_x[0], dtype_and_x[1]
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        test_flags=test_flags,
+        frontend=frontend,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        indices=x[0],
+        shape=shape,
+    )