adding verbose as an optional argument to Task.result

pydra/engine/core.py

@@ -532,29 +532,37 @@ def done(self):
                 return True
         return False
 
-    def _combined_output(self):
+    def _combined_output(self, return_inputs=False):
         combined_results = []
         for (gr, ind_l) in self.state.final_combined_ind_mapping.items():
-            combined_results.append([])
+            combined_results_gr = []
             for ind in ind_l:
                 result = load_result(self.checksum_states(ind), self.cache_locations)
                 if result is None:
                     return None
-                combined_results[gr].append(result)
+                if return_inputs is True or return_inputs == "val":
+                    result = (self.state.states_val[ind], result)
+                elif return_inputs == "ind":
+                    result = (self.state.states_ind[ind], result)
+                combined_results_gr.append(result)
+            combined_results.append(combined_results_gr)
         if len(combined_results) == 1 and self.state.splitter_rpn_final == []:
             # in case it's full combiner, removing the nested structure
             return combined_results[0]
         else:
             return combined_results
 
-    def result(self, state_index=None):
+    def result(self, state_index=None, return_inputs=False):
         """
         Retrieve the outcomes of this particular task.
 
         Parameters
         ----------
-        state_index :
-            TODO
+        state_index : :obj: `int`
+            index of the element for task with splitter and multiple states
+        return_inputs : :obj: `bool`, :obj:`str`
+            if True or "val" result is returned together with values of the input fields,
+            if "ind" result is returned together with indices of the input fields
 
         Returns
         -------
@@ -567,28 +575,50 @@ def result(self, state_index=None):
             if state_index is None:
                 # if state_index=None, collecting all results
                 if self.state.combiner:
-                    return self._combined_output()
+                    return self._combined_output(return_inputs=return_inputs)
                 else:
                     results = []
                     for checksum in self.checksum_states():
                         result = load_result(checksum, self.cache_locations)
                         if result is None:
                             return None
                         results.append(result)
-                    return results
+                    if return_inputs is True or return_inputs == "val":
+                        return list(zip(self.state.states_val, results))
+                    elif return_inputs == "ind":
+                        return list(zip(self.state.states_ind, results))
+                    else:
+                        return results
             else:  # state_index is not None
                 if self.state.combiner:
-                    return self._combined_output()[state_index]
+                    return self._combined_output(return_inputs=return_inputs)[
+                        state_index
+                    ]
                 result = load_result(
                     self.checksum_states(state_index), self.cache_locations
                 )
-                return result
+                if return_inputs is True or return_inputs == "val":
+                    return (self.state.states_val[state_index], result)
+                elif return_inputs == "ind":
+                    return (self.state.states_ind[state_index], result)
+                else:
+                    return result
         else:
             if state_index is not None:
                 raise ValueError("Task does not have a state")
             checksum = self.checksum
             result = load_result(checksum, self.cache_locations)
-            return result
+            if return_inputs is True or return_inputs == "val":
+                inputs_val = {
+                    f"{self.name}.{inp}": getattr(self.inputs, inp)
+                    for inp in self.input_names
+                }
+                return (inputs_val, result)
+            elif return_inputs == "ind":
+                inputs_ind = {f"{self.name}.{inp}": None for inp in self.input_names}
+                return (inputs_ind, result)
+            else:
+                return result
 
     def _reset(self):
         """Reset the connections between inputs and LazyFields."""

pydra/engine/tests/test_node_task.py

@@ -368,6 +368,18 @@ def test_task_nostate_1(plugin):
     # checking the results
     results = nn.result()
     assert results.output.out == 5
+    # checking the return_inputs option, either is return_inputs is True, or "val",
+    # it should give values of inputs that corresponds to the specific element
+    results_verb = nn.result(return_inputs=True)
+    results_verb_val = nn.result(return_inputs="val")
+    assert results_verb[0] == results_verb_val[0] == {"NA.a": 3}
+    assert results_verb[1].output.out == results_verb_val[1].output.out == 5
+    # checking the return_inputs option return_inputs="ind"
+    # it should give indices of inputs (instead of values) for each element
+    results_verb_ind = nn.result(return_inputs="ind")
+    assert results_verb_ind[0] == {"NA.a": None}
+    assert results_verb_ind[1].output.out == 5
+
     # checking the output_dir
     assert nn.output_dir.exists()
 
@@ -709,6 +721,22 @@ def test_task_state_1(plugin):
     expected = [({"NA.a": 3}, 5), ({"NA.a": 5}, 7)]
     for i, res in enumerate(expected):
         assert results[i].output.out == res[1]
+
+    # checking the return_inputs option, either return_inputs is True or "val",
+    # it should give values of inputs that corresponds to the specific element
+    results_verb = nn.result(return_inputs=True)
+    results_verb_val = nn.result(return_inputs="val")
+    for i, res in enumerate(expected):
+        assert (results_verb[i][0], results_verb[i][1].output.out) == res
+        assert (results_verb_val[i][0], results_verb_val[i][1].output.out) == res
+
+    # checking the return_inputs option return_inputs="ind"
+    # it should give indices of inputs (instead of values) for each element
+    results_verb_ind = nn.result(return_inputs="ind")
+    expected_ind = [({"NA.a": 0}, 5), ({"NA.a": 1}, 7)]
+    for i, res in enumerate(expected_ind):
+        assert (results_verb_ind[i][0], results_verb_ind[i][1].output.out) == res
+
     # checking the output_dir
     assert nn.output_dir
     for odir in nn.output_dir:
@@ -737,13 +765,14 @@ def test_task_state_1a(plugin):
 
 
 @pytest.mark.parametrize(
-    "splitter, state_splitter, state_rpn, expected",
+    "splitter, state_splitter, state_rpn, expected, expected_ind",
     [
         (
             ("a", "b"),
             ("NA.a", "NA.b"),
             ["NA.a", "NA.b", "."],
             [({"NA.a": 3, "NA.b": 10}, 13), ({"NA.a": 5, "NA.b": 20}, 25)],
+            [({"NA.a": 0, "NA.b": 0}, 13), ({"NA.a": 1, "NA.b": 1}, 25)],
         ),
         (
             ["a", "b"],
@@ -755,11 +784,19 @@ def test_task_state_1a(plugin):
                 ({"NA.a": 5, "NA.b": 10}, 15),
                 ({"NA.a": 5, "NA.b": 20}, 25),
             ],
+            [
+                ({"NA.a": 0, "NA.b": 0}, 13),
+                ({"NA.a": 0, "NA.b": 1}, 23),
+                ({"NA.a": 1, "NA.b": 0}, 15),
+                ({"NA.a": 1, "NA.b": 1}, 25),
+            ],
         ),
     ],
 )
 @pytest.mark.parametrize("plugin", Plugins)
-def test_task_state_2(plugin, splitter, state_splitter, state_rpn, expected):
+def test_task_state_2(
+    plugin, splitter, state_splitter, state_rpn, expected, expected_ind
+):
     """ Tasks with two inputs and a splitter (no combiner)"""
     nn = fun_addvar(name="NA").split(splitter=splitter, a=[3, 5], b=[10, 20])
 
@@ -777,6 +814,21 @@ def test_task_state_2(plugin, splitter, state_splitter, state_rpn, expected):
     results = nn.result()
     for i, res in enumerate(expected):
         assert results[i].output.out == res[1]
+
+    # checking the return_inputs option, either return_inputs is True or "val",
+    # it should give values of inputs that corresponds to the specific element
+    results_verb = nn.result(return_inputs=True)
+    results_verb_val = nn.result(return_inputs="val")
+    for i, res in enumerate(expected):
+        assert (results_verb[i][0], results_verb[i][1].output.out) == res
+        assert (results_verb_val[i][0], results_verb_val[i][1].output.out) == res
+
+    # checking the return_inputs option return_inputs="ind"
+    # it should give indices of inputs (instead of values) for each element
+    results_verb_ind = nn.result(return_inputs="ind")
+    for i, res in enumerate(expected_ind):
+        assert (results_verb_ind[i][0], results_verb_ind[i][1].output.out) == res
+
     # checking the output_dir
     assert nn.output_dir
     for odir in nn.output_dir:
@@ -982,11 +1034,25 @@ def test_task_state_comb_1(plugin):
 
     # checking the results
     results = nn.result()
-
     # fully combined (no nested list)
     combined_results = [res.output.out for res in results]
-
     assert combined_results == [5, 7]
+
+    expected = [({"NA.a": 3}, 5), ({"NA.a": 5}, 7)]
+    expected_ind = [({"NA.a": 0}, 5), ({"NA.a": 1}, 7)]
+    # checking the return_inputs option, either return_inputs is True or "val",
+    # it should give values of inputs that corresponds to the specific element
+    results_verb = nn.result(return_inputs=True)
+    results_verb_val = nn.result(return_inputs="val")
+    for i, res in enumerate(expected):
+        assert (results_verb[i][0], results_verb[i][1].output.out) == res
+        assert (results_verb_val[i][0], results_verb_val[i][1].output.out) == res
+    # checking the return_inputs option return_inputs="ind"
+    # it should give indices of inputs (instead of values) for each element
+    results_verb_ind = nn.result(return_inputs="ind")
+    for i, res in enumerate(expected_ind):
+        assert (results_verb_ind[i][0], results_verb_ind[i][1].output.out) == res
+
     # checking the output_dir
     assert nn.output_dir
     for odir in nn.output_dir:
@@ -995,7 +1061,7 @@ def test_task_state_comb_1(plugin):
 
 @pytest.mark.parametrize(
     "splitter, combiner, state_splitter, state_rpn, state_combiner, state_combiner_all, "
-    "state_splitter_final, state_rpn_final, expected",
+    "state_splitter_final, state_rpn_final, expected, expected_val",
     [
         (
             ("a", "b"),
@@ -1006,7 +1072,8 @@ def test_task_state_comb_1(plugin):
             ["NA.a", "NA.b"],
             None,
             [],
-            [({}, [13, 25])],
+            [13, 25],
+            [({"NA.a": 3, "NA.b": 10}, 13), ({"NA.a": 5, "NA.b": 20}, 25)],
         ),
         (
             ("a", "b"),
@@ -1017,7 +1084,8 @@ def test_task_state_comb_1(plugin):
             ["NA.a", "NA.b"],
             None,
             [],
-            [({}, [13, 25])],
+            [13, 25],
+            [({"NA.a": 3, "NA.b": 10}, 13), ({"NA.a": 5, "NA.b": 20}, 25)],
         ),
         (
             ["a", "b"],
@@ -1028,7 +1096,11 @@ def test_task_state_comb_1(plugin):
             ["NA.a"],
             "NA.b",
             ["NA.b"],
-            [({"NA.b": 10}, [13, 15]), ({"NA.b": 20}, [23, 25])],
+            [[13, 15], [23, 25]],
+            [
+                [({"NA.a": 3, "NA.b": 10}, 13), ({"NA.a": 5, "NA.b": 10}, 15)],
+                [({"NA.a": 3, "NA.b": 20}, 23), ({"NA.a": 5, "NA.b": 20}, 25)],
+            ],
         ),
         (
             ["a", "b"],
@@ -1039,7 +1111,11 @@ def test_task_state_comb_1(plugin):
             ["NA.b"],
             "NA.a",
             ["NA.a"],
-            [({"NA.a": 3}, [13, 23]), ({"NA.a": 5}, [15, 25])],
+            [[13, 23], [15, 25]],
+            [
+                [({"NA.a": 3, "NA.b": 10}, 13), ({"NA.a": 3, "NA.b": 20}, 23)],
+                [({"NA.a": 5, "NA.b": 10}, 15), ({"NA.a": 5, "NA.b": 20}, 25)],
+            ],
         ),
         (
             ["a", "b"],
@@ -1050,7 +1126,13 @@ def test_task_state_comb_1(plugin):
             ["NA.a", "NA.b"],
             None,
             [],
-            [({}, [13, 23, 15, 25])],
+            [13, 23, 15, 25],
+            [
+                ({"NA.a": 3, "NA.b": 10}, 13),
+                ({"NA.a": 3, "NA.b": 20}, 23),
+                ({"NA.a": 5, "NA.b": 10}, 15),
+                ({"NA.a": 5, "NA.b": 20}, 25),
+            ],
         ),
     ],
 )
@@ -1066,6 +1148,7 @@ def test_task_state_comb_2(
     state_splitter_final,
     state_rpn_final,
     expected,
+    expected_val,
 ):
     """ Tasks with scalar and outer splitters and  partial or full combiners"""
     nn = (
@@ -1080,19 +1163,32 @@ def test_task_state_comb_2(
     assert nn.state.splitter_rpn == state_rpn
     assert nn.state.combiner == state_combiner
 
+    with Submitter(plugin=plugin) as sub:
+        sub(nn)
+
     assert nn.state.splitter_final == state_splitter_final
     assert nn.state.splitter_rpn_final == state_rpn_final
     assert set(nn.state.right_combiner_all) == set(state_combiner_all)
 
-    with Submitter(plugin=plugin) as sub:
-        sub(nn)
-
     # checking the results
     results = nn.result()
+    # checking the return_inputs option, either return_inputs is True or "val",
+    # it should give values of inputs that corresponds to the specific element
+    results_verb = nn.result(return_inputs=True)
+
+    if nn.state.splitter_rpn_final:
+        for i, res in enumerate(expected):
+            assert [res.output.out for res in results[i]] == res
+        # results_verb
+        for i, res_l in enumerate(expected_val):
+            for j, res in enumerate(res_l):
+                assert (results_verb[i][j][0], results_verb[i][j][1].output.out) == res
+    # if the combiner is full expected is "a flat list"
+    else:
+        assert [res.output.out for res in results] == expected
+        for i, res in enumerate(expected_val):
+            assert (results_verb[i][0], results_verb[i][1].output.out) == res
 
-    combined_results = [[res.output.out for res in res_l] for res_l in results]
-    for i, res in enumerate(expected):
-        assert combined_results[i] == res[1]
     # checking the output_dir
     assert nn.output_dir
     for odir in nn.output_dir:
@@ -1130,7 +1226,7 @@ def test_task_state_comb_singl_1(plugin):
 
 
 @pytest.mark.parametrize("plugin", Plugins)
-def test_task_state_comb_2(plugin):
+def test_task_state_comb_3(plugin):
     """ task with the simplest splitter, the input is an empty list"""
     nn = fun_addtwo(name="NA").split(splitter="a", a=[]).combine(combiner=["a"])