mirror of
https://github.com/Comfy-Org/ComfyUI.git
synced 2026-09-25 07:28:06 -05:00
Lukas Buck
a84f954bc6
Start Loop took the first delivered value of `initial_iteration_value` and LoopIteration took the first value of `current_iteration_value`, so a Create List holding mixed state reached the loop body with only its first item. Get Item From List then raised `IndexError` for every index past 0, which is the opposite of what the generic loop advertises: one carried value holding an image and its prompt, unpacked inside the iteration. Pass the opener's own input into the expanded graph so the first iteration receives the carried value through the same link the later ones use, and let LoopIteration re-emit it whole.
846 lines
24 KiB
Python
846 lines
24 KiB
Python
import copy
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import pytest
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import nodes
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import comfy_extras.nodes_loop as nodes_loop
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from comfy_api.latest import io
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from comfy_execution.graph_utils import GraphBuilder
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from comfy_execution.validation import validate_loops
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from execution import PromptExecutor
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class Constant:
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"value": ("INT",)}}
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RETURN_TYPES = ("INT",)
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FUNCTION = "execute"
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def execute(self, value):
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return (value,)
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class Increment:
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calls = []
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"value": ("INT",)}}
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RETURN_TYPES = ("INT",)
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FUNCTION = "execute"
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def execute(self, value):
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value += 1
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self.calls.append(value)
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return (value,)
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class ExpandIncrement:
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"value": ("INT",)}}
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RETURN_TYPES = ("INT",)
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FUNCTION = "execute"
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def execute(self, value):
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graph = GraphBuilder()
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increment = graph.node("TestIncrement", "increment", value=value)
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return {"result": (increment.out(0),), "expand": graph.finalize()}
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class FalseBranch:
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calls = []
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"value": ("INT",)}}
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RETURN_TYPES = ("INT",)
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FUNCTION = "execute"
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def execute(self, value):
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self.calls.append(value)
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return (value,)
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class TrueBranch(FalseBranch):
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calls = []
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class LazySwitch:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"switch": ("BOOLEAN",),
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"on_false": ("INT", {"lazy": True}),
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"on_true": ("INT", {"lazy": True}),
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}
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}
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RETURN_TYPES = ("INT",)
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FUNCTION = "execute"
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def check_lazy_status(self, switch, on_false=None, on_true=None):
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selected_name = "on_true" if switch else "on_false"
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selected = on_true if switch else on_false
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return [selected_name] if selected is None else []
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def execute(self, switch, on_false=None, on_true=None):
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return (on_true if switch else on_false,)
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class Capture:
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values = []
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"value": ("INT",)}}
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RETURN_TYPES = ()
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FUNCTION = "execute"
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OUTPUT_NODE = True
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def execute(self, value):
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self.values.append(value)
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return ()
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class CapturePassthrough:
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values = []
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"value": ("INT",)}}
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RETURN_TYPES = ("INT",)
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FUNCTION = "execute"
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OUTPUT_NODE = True
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def execute(self, value):
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self.values.append(value)
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return (value,)
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class CapturePassthroughFirst(CapturePassthrough):
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values = []
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class CapturePassthroughSecond(io.ComfyNode):
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values = []
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@classmethod
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def define_schema(cls):
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return io.Schema(
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node_id="TestCapturePassthroughSecond",
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inputs=[io.Int.Input("value"), io.Boolean.Input("last")],
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outputs=[io.Int.Output()],
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hidden=[io.Hidden.dynprompt, io.Hidden.unique_id],
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is_output_node=True,
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)
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@classmethod
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def execute(cls, value, last):
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cls.values.append((value, last))
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return io.NodeOutput(value)
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@classmethod
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def fingerprint_inputs(cls, **kwargs):
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return float("NaN")
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class Pair:
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"value": ("INT",)}}
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RETURN_TYPES = ("*",)
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OUTPUT_IS_LIST = (True,)
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FUNCTION = "execute"
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def execute(self, value):
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return ([value, str(value)],)
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class ListBackedScalar:
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"value": ("INT",)}}
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RETURN_TYPES = ("*",)
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FUNCTION = "execute"
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def execute(self, value):
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return ([[value]],)
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class RecordCarried:
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values = []
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"value": ("*",)}}
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RETURN_TYPES = ("*",)
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OUTPUT_IS_LIST = (True,)
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INPUT_IS_LIST = True
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FUNCTION = "execute"
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def execute(self, value):
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value = list(value)
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self.values.append(value)
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return (value,)
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class AppendIndex:
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values = []
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {"value": ("*",), "index": ("INT",)}}
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RETURN_TYPES = ("*",)
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FUNCTION = "execute"
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def execute(self, value, index):
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value = value + [index]
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self.values.append(value)
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return (value,)
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class EmptyList:
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {}}
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RETURN_TYPES = ("*",)
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OUTPUT_IS_LIST = (True,)
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FUNCTION = "execute"
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def execute(self):
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return ([],)
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class IntegerList:
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {}}
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RETURN_TYPES = ("INT",)
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OUTPUT_IS_LIST = (True,)
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FUNCTION = "execute"
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def execute(self):
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return ([10, 20],)
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class CaptureLoopState:
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values = []
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"index": ("INT",),
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"is_first": ("BOOLEAN",),
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"is_last": ("BOOLEAN",),
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"item": ("*",),
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}
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}
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RETURN_TYPES = ("INT",)
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FUNCTION = "execute"
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def execute(self, index, is_first, is_last, item):
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self.values.append((index, is_first, is_last, item))
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return (index,)
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class CaptureLoopResult(nodes_loop.LoopResult):
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output_keys = []
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@classmethod
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def execute(cls, **kwargs):
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cls.output_keys.extend(sorted(name for name in kwargs if name.startswith("output")))
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return super().execute(**kwargs)
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class Server:
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client_id = None
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def send_sync(self, *args, **kwargs):
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pass
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class Progress:
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messages = []
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body_call_counts = []
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def send_progress_text(self, text, node_id):
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self.messages.append((text, node_id))
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self.body_call_counts.append(len(Increment.calls))
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@pytest.fixture(autouse=True)
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def register_internal_loop_nodes(monkeypatch):
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classes = {
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"StartLoop": nodes_loop.StartLoop,
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"EndLoop": nodes_loop.EndLoop,
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"LoopIteration": nodes_loop.LoopIteration,
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"LoopProgress": nodes_loop.LoopProgress,
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"LoopResult": nodes_loop.LoopResult,
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"TestConstant": Constant,
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"TestIncrement": Increment,
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"TestExpandIncrement": ExpandIncrement,
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"TestFalseBranch": FalseBranch,
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"TestTrueBranch": TrueBranch,
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"TestLazySwitch": LazySwitch,
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"TestCapture": Capture,
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"TestCapturePassthrough": CapturePassthrough,
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"TestCapturePassthroughFirst": CapturePassthroughFirst,
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"TestCapturePassthroughSecond": CapturePassthroughSecond,
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"TestPair": Pair,
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"TestListBackedScalar": ListBackedScalar,
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"TestAppendIndex": AppendIndex,
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"TestRecordCarried": RecordCarried,
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"TestEmptyList": EmptyList,
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"TestIntegerList": IntegerList,
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"TestCaptureLoopState": CaptureLoopState,
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}
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for name, node in classes.items():
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monkeypatch.setitem(nodes.NODE_CLASS_MAPPINGS, name, node)
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monkeypatch.setattr(
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nodes_loop,
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"PromptServer",
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type("PromptServer", (), {"instance": Progress()}),
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)
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execute = PromptExecutor.execute
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def execute_validated(executor, prompt, prompt_id, extra_data=None, execute_outputs=None):
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extra_data = extra_data or {}
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execute_outputs = execute_outputs or []
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starts = {node_id for node_id, node in prompt.items() if node["class_type"] == "StartLoop"}
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ends = {node_id for node_id, node in prompt.items() if node["class_type"] == "EndLoop"}
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validate_loops(prompt, set(execute_outputs), prompt, starts, ends)
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execute(executor, prompt, prompt_id, extra_data, execute_outputs)
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monkeypatch.setattr(PromptExecutor, "execute", execute_validated)
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def execute_prompt(prompt, prompt_id, outputs):
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executor = PromptExecutor(Server(), cache_type=False, cache_args={"ram": 0, "ram_inactive": 0})
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executor.execute(prompt, prompt_id, execute_outputs=outputs)
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assert executor.success
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return executor
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def test_nested_loops_execute_each_body_once_without_final_requeue():
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Increment.calls = []
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Capture.values = []
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prompt = {
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"constant": {
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"class_type": "TestConstant",
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"inputs": {"value": 0},
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},
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"outer": {
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"class_type": "StartLoop",
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"inputs": {
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"mode": "simple",
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"mode.num_iterations": 2,
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"initial_iteration_value": ["constant", 0],
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},
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},
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"inner": {
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"class_type": "StartLoop",
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"inputs": {
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"mode": "simple",
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"mode.num_iterations": 2,
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"parent_iteration": ["outer", 0],
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"initial_iteration_value": ["outer", 4],
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},
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},
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"increment": {
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"class_type": "TestIncrement",
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"inputs": {"value": ["inner", 4]},
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},
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"inner_close": {
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"class_type": "EndLoop",
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"inputs": {
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"output_value": ["increment", 0],
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"next_iteration_value": ["increment", 0],
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"accumulate": False,
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},
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},
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"outer_close": {
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"class_type": "EndLoop",
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"inputs": {
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"output_value": ["inner_close", 0],
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"next_iteration_value": ["inner_close", 0],
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"accumulate": False,
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},
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},
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"capture": {
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"class_type": "TestCapture",
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"inputs": {"value": ["outer_close", 0]},
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},
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}
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execute_prompt(prompt, "nested-loop-test", ["capture"])
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assert Increment.calls == [1, 2, 3, 4]
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assert Capture.values == [4]
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def test_loop_executes_termination_without_carried_or_output_value():
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Increment.calls = []
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CapturePassthrough.values = []
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prompt = {
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"loop": {
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"class_type": "StartLoop",
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"inputs": {
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"mode": "simple",
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"mode.num_iterations": 2,
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},
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},
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"increment": {
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"class_type": "TestIncrement",
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"inputs": {"value": ["loop", 0]},
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},
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"preview": {
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"class_type": "TestCapturePassthrough",
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"inputs": {"value": ["increment", 0]},
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},
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"close": {
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"class_type": "EndLoop",
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"inputs": {
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"accumulate": False,
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"termination0": ["preview", 0],
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},
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},
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}
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execute_prompt(prompt, "termination-only-loop-test", ["preview"])
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assert Increment.calls == [1, 2]
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assert CapturePassthrough.values == [1, 2]
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def test_loop_executes_multiple_termination_branches_each_iteration():
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Increment.calls = []
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CapturePassthroughFirst.values = []
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CapturePassthroughSecond.values = []
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prompt = {
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"initial": {"class_type": "TestConstant", "inputs": {"value": 0}},
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"loop": {
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"class_type": "StartLoop",
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"inputs": {
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"mode": "simple",
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"mode.num_iterations": 2,
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"initial_iteration_value": ["initial", 0],
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},
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},
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"increment": {"class_type": "TestIncrement", "inputs": {"value": ["loop", 4]}},
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"first": {
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"class_type": "TestCapturePassthroughFirst",
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"inputs": {"value": ["increment", 0]},
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},
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"second": {
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"class_type": "TestCapturePassthroughSecond",
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"inputs": {"value": ["increment", 0], "last": ["loop", 2]},
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},
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"close": {
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"class_type": "EndLoop",
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"inputs": {
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"output_value": ["increment", 0],
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"next_iteration_value": ["increment", 0],
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"accumulate": False,
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"termination0": ["first", 0],
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"termination1": ["second", 0],
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},
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},
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}
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executor = execute_prompt(prompt, "multiple-termination-loop-test", ["first", "second"])
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assert executor.success
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assert Increment.calls == [1, 2]
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assert CapturePassthroughFirst.values == [1, 2]
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assert CapturePassthroughSecond.values == [(1, False), (2, True)]
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def test_loop_executes_final_carried_value_without_output():
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Increment.calls = []
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prompt = {
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"loop": {
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"class_type": "StartLoop",
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"inputs": {"mode": "simple", "mode.num_iterations": 2},
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},
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"increment": {"class_type": "TestIncrement", "inputs": {"value": ["loop", 0]}},
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"close": {
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"class_type": "EndLoop",
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"inputs": {"next_iteration_value": ["increment", 0], "accumulate": False},
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},
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}
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execute_prompt(prompt, "carry-only-loop-test", ["close"])
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assert Increment.calls == [1, 2]
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def test_loop_carries_every_item_of_a_heterogeneous_list():
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RecordCarried.values = []
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prompt = {
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"pair": {"class_type": "TestPair", "inputs": {"value": 7}},
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"loop": {
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"class_type": "StartLoop",
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"inputs": {
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"mode": "simple",
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"mode.num_iterations": 2,
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"initial_iteration_value": ["pair", 0],
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},
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},
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"record": {"class_type": "TestRecordCarried", "inputs": {"value": ["loop", 4]}},
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"close": {
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"class_type": "EndLoop",
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"inputs": {
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"output_value": ["record", 0],
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"next_iteration_value": ["record", 0],
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"accumulate": False,
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},
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},
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}
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execute_prompt(prompt, "heterogeneous-carry-loop-test", ["close"])
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assert RecordCarried.values == [[7, "7"], [7, "7"]]
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def test_loop_preserves_list_backed_carried_value():
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AppendIndex.values = []
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prompt = {
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"initial": {"class_type": "TestListBackedScalar", "inputs": {"value": 7}},
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"loop": {
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"class_type": "StartLoop",
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"inputs": {
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"mode": "simple",
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"mode.num_iterations": 2,
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"initial_iteration_value": ["initial", 0],
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},
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},
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"append": {
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"class_type": "TestAppendIndex",
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"inputs": {"value": ["loop", 4], "index": ["loop", 0]},
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},
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"close": {
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"class_type": "EndLoop",
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"inputs": {
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"output_value": ["append", 0],
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"next_iteration_value": ["append", 0],
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"accumulate": False,
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},
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},
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}
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execute_prompt(prompt, "list-carry-loop-test", ["close"])
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assert AppendIndex.values == [[[7], 0], [[7], 0, 1]]
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@pytest.mark.parametrize(
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"mode_inputs",
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[
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{"mode": "simple", "mode.num_iterations": 0},
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{"mode": "List", "mode.list": ["empty_list", 0]},
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],
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)
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def test_empty_loop_skips_body(mode_inputs):
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Increment.calls = []
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CapturePassthrough.values = []
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prompt = {
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"empty_list": {
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"class_type": "TestEmptyList",
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"inputs": {},
|
|
},
|
|
"loop": {
|
|
"class_type": "StartLoop",
|
|
"inputs": mode_inputs,
|
|
},
|
|
"increment": {
|
|
"class_type": "TestIncrement",
|
|
"inputs": {"value": ["loop", 0]},
|
|
},
|
|
"preview": {
|
|
"class_type": "TestCapturePassthrough",
|
|
"inputs": {"value": ["increment", 0]},
|
|
},
|
|
"close": {
|
|
"class_type": "EndLoop",
|
|
"inputs": {
|
|
"accumulate": False,
|
|
"termination0": ["preview", 0],
|
|
},
|
|
},
|
|
}
|
|
executor = execute_prompt(prompt, "empty-loop-test", ["preview"])
|
|
assert Increment.calls == []
|
|
assert CapturePassthrough.values == []
|
|
assert executor.caches.outputs.get_local("close") is not None
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
("mode_inputs", "expected"),
|
|
[
|
|
(
|
|
{"mode": "For", "mode.start_iteration_index": 2, "mode.max_iteration": 8, "mode.step": 3},
|
|
[(2, True, False, None), (5, False, True, None)],
|
|
),
|
|
(
|
|
{"mode": "List", "mode.list": ["items", 0]},
|
|
[(0, True, False, 10), (1, False, True, 20)],
|
|
),
|
|
],
|
|
)
|
|
def test_loop_modes_expose_iteration_state(mode_inputs, expected):
|
|
CaptureLoopState.values = []
|
|
prompt = {
|
|
"items": {"class_type": "TestIntegerList", "inputs": {}},
|
|
"loop": {"class_type": "StartLoop", "inputs": mode_inputs},
|
|
"state": {
|
|
"class_type": "TestCaptureLoopState",
|
|
"inputs": {
|
|
"index": ["loop", 0],
|
|
"is_first": ["loop", 1],
|
|
"is_last": ["loop", 2],
|
|
"item": ["loop", 3],
|
|
},
|
|
},
|
|
"close": {
|
|
"class_type": "EndLoop",
|
|
"inputs": {"output_value": ["state", 0], "accumulate": True},
|
|
},
|
|
}
|
|
execute_prompt(prompt, "loop-mode-test", ["close"])
|
|
assert CaptureLoopState.values == expected
|
|
|
|
|
|
@pytest.mark.parametrize(("cache_iterations", "expected_calls"), [(False, [1, 2, 1, 2]), (True, [1, 2])])
|
|
def test_iteration_cache_policy_and_end_cache(cache_iterations, expected_calls):
|
|
Increment.calls = []
|
|
Capture.values = []
|
|
Progress.messages = []
|
|
Progress.body_call_counts = []
|
|
prompt = {
|
|
"loop": {
|
|
"class_type": "StartLoop",
|
|
"inputs": {
|
|
"mode": "simple",
|
|
"mode.num_iterations": 2,
|
|
"cache_iterations": cache_iterations,
|
|
},
|
|
},
|
|
"increment": {"class_type": "TestIncrement", "inputs": {"value": ["loop", 0]}},
|
|
"close": {
|
|
"class_type": "EndLoop",
|
|
"inputs": {"output_value": ["increment", 0], "accumulate": True},
|
|
},
|
|
"capture": {"class_type": "TestCapture", "inputs": {"value": ["close", 0]}},
|
|
}
|
|
second_prompt = copy.deepcopy(prompt)
|
|
executor = PromptExecutor(Server(), cache_type=False, cache_args={"ram": 0, "ram_inactive": 0})
|
|
|
|
executor.execute(prompt, "loop-cache-first", execute_outputs=["capture"])
|
|
assert executor.success
|
|
assert executor.caches.outputs.get_local("close") is not None
|
|
executor.execute(second_prompt, "loop-cache-second", execute_outputs=["capture"])
|
|
|
|
assert executor.success
|
|
assert Increment.calls == expected_calls
|
|
assert Progress.messages == [
|
|
("Iteration 0 / 2", "loop"),
|
|
("Iteration 1 / 2", "loop"),
|
|
("Iteration 2 / 2", "loop"),
|
|
] * 2
|
|
assert Progress.body_call_counts == [0, 1, 2] + ([2, 2, 2] if cache_iterations else [2, 3, 4])
|
|
assert prompt["close"]["inputs"]["output_value"] == ["increment", 0]
|
|
assert second_prompt["close"]["inputs"]["output_value"] == ["increment", 0]
|
|
|
|
|
|
def test_iteration_cache_still_expands_when_only_termination_is_requested():
|
|
Increment.calls = []
|
|
CapturePassthrough.values = []
|
|
prompt = {
|
|
"loop": {
|
|
"class_type": "StartLoop",
|
|
"inputs": {
|
|
"mode": "simple",
|
|
"mode.num_iterations": 2,
|
|
"cache_iterations": True,
|
|
},
|
|
},
|
|
"increment": {"class_type": "TestIncrement", "inputs": {"value": ["loop", 0]}},
|
|
"preview": {
|
|
"class_type": "TestCapturePassthrough",
|
|
"inputs": {"value": ["increment", 0]},
|
|
},
|
|
"close": {
|
|
"class_type": "EndLoop",
|
|
"inputs": {"accumulate": False, "termination0": ["preview", 0]},
|
|
},
|
|
}
|
|
second_prompt = copy.deepcopy(prompt)
|
|
executor = PromptExecutor(Server(), cache_type=False, cache_args={"ram": 0, "ram_inactive": 0})
|
|
|
|
executor.execute(prompt, "termination-cache-first", execute_outputs=["preview"])
|
|
assert executor.success
|
|
executor.execute(second_prompt, "termination-cache-second", execute_outputs=["preview"])
|
|
|
|
assert executor.success
|
|
assert Increment.calls == [1, 2]
|
|
assert CapturePassthrough.values == [1, 2]
|
|
|
|
|
|
def test_single_loop_concatenates_list_outputs():
|
|
Capture.values = []
|
|
prompt = {
|
|
"loop": {
|
|
"class_type": "StartLoop",
|
|
"inputs": {"mode": "simple", "mode.num_iterations": 2},
|
|
},
|
|
"pair": {
|
|
"class_type": "TestPair",
|
|
"inputs": {"value": ["loop", 0]},
|
|
},
|
|
"close": {
|
|
"class_type": "EndLoop",
|
|
"inputs": {
|
|
"output_value": ["pair", 0],
|
|
"accumulate": True,
|
|
},
|
|
},
|
|
"capture": {
|
|
"class_type": "TestCapture",
|
|
"inputs": {"value": ["close", 0]},
|
|
},
|
|
}
|
|
execute_prompt(prompt, "single-loop-accumulation-test", ["capture"])
|
|
assert Capture.values == [0, "0", 1, "1"]
|
|
|
|
|
|
def test_loop_final_output_preserves_output_list(monkeypatch):
|
|
Capture.values = []
|
|
CaptureLoopResult.output_keys.clear()
|
|
monkeypatch.setitem(nodes.NODE_CLASS_MAPPINGS, "LoopResult", CaptureLoopResult)
|
|
prompt = {
|
|
"loop": {"class_type": "StartLoop", "inputs": {"mode": "simple", "mode.num_iterations": 2}},
|
|
"pair": {"class_type": "TestPair", "inputs": {"value": ["loop", 0]}},
|
|
"close": {
|
|
"class_type": "EndLoop",
|
|
"inputs": {"output_value": ["pair", 0], "accumulate": False},
|
|
},
|
|
"capture": {"class_type": "TestCapture", "inputs": {"value": ["close", 0]}},
|
|
}
|
|
execute_prompt(prompt, "final-list-loop-test", ["capture"])
|
|
assert Capture.values == [1, "1"]
|
|
assert CaptureLoopResult.output_keys == ["output0"]
|
|
|
|
|
|
def test_loop_rebuilds_lazy_branch_dependencies_each_iteration():
|
|
FalseBranch.calls = []
|
|
TrueBranch.calls = []
|
|
prompt = {
|
|
"loop": {"class_type": "StartLoop", "inputs": {"mode": "simple", "mode.num_iterations": 2}},
|
|
"false": {"class_type": "TestFalseBranch", "inputs": {"value": ["loop", 0]}},
|
|
"true": {"class_type": "TestTrueBranch", "inputs": {"value": ["loop", 0]}},
|
|
"switch": {
|
|
"class_type": "TestLazySwitch",
|
|
"inputs": {
|
|
"switch": ["loop", 1],
|
|
"on_false": ["false", 0],
|
|
"on_true": ["true", 0],
|
|
},
|
|
},
|
|
"close": {
|
|
"class_type": "EndLoop",
|
|
"inputs": {"output_value": ["switch", 0], "accumulate": True},
|
|
},
|
|
}
|
|
execute_prompt(prompt, "lazy-branch-loop-test", ["close"])
|
|
assert TrueBranch.calls == [0]
|
|
assert FalseBranch.calls == [1]
|
|
|
|
|
|
def test_loop_repeats_runtime_expanded_descendants():
|
|
Increment.calls = []
|
|
prompt = {
|
|
"loop": {"class_type": "StartLoop", "inputs": {"mode": "simple", "mode.num_iterations": 3}},
|
|
"expand": {"class_type": "TestExpandIncrement", "inputs": {"value": ["loop", 0]}},
|
|
"close": {
|
|
"class_type": "EndLoop",
|
|
"inputs": {"output_value": ["expand", 0], "accumulate": True},
|
|
},
|
|
}
|
|
execute_prompt(prompt, "expanded-descendant-loop-test", ["close"])
|
|
assert Increment.calls == [1, 2, 3]
|
|
|
|
|
|
def run_nested_accumulation(producer_name):
|
|
Capture.values = []
|
|
|
|
prompt = {
|
|
"outer": {
|
|
"class_type": "StartLoop",
|
|
"inputs": {"mode": "simple", "mode.num_iterations": 2},
|
|
},
|
|
"inner": {
|
|
"class_type": "StartLoop",
|
|
"inputs": {
|
|
"mode": "simple",
|
|
"mode.num_iterations": 2,
|
|
"parent_iteration": ["outer", 0],
|
|
},
|
|
},
|
|
"producer": {
|
|
"class_type": producer_name,
|
|
"inputs": {"value": ["inner", 0]},
|
|
},
|
|
"inner_close": {
|
|
"class_type": "EndLoop",
|
|
"inputs": {
|
|
"output_value": ["producer", 0],
|
|
"accumulate": True,
|
|
},
|
|
},
|
|
"outer_close": {
|
|
"class_type": "EndLoop",
|
|
"inputs": {
|
|
"output_value": ["inner_close", 0],
|
|
"accumulate": True,
|
|
},
|
|
},
|
|
"capture": {
|
|
"class_type": "TestCapture",
|
|
"inputs": {"value": ["outer_close", 0]},
|
|
},
|
|
}
|
|
execute_prompt(prompt, "nested-loop-accumulation-test", ["capture"])
|
|
return Capture.values
|
|
|
|
|
|
def test_nested_loop_concatenates_lists():
|
|
assert run_nested_accumulation("TestPair") == [
|
|
0,
|
|
"0",
|
|
1,
|
|
"1",
|
|
0,
|
|
"0",
|
|
1,
|
|
"1",
|
|
]
|
|
|
|
|
|
def test_nested_loop_does_not_flatten_list_backed_scalars():
|
|
assert run_nested_accumulation("TestListBackedScalar") == [
|
|
[[0]],
|
|
[[1]],
|
|
[[0]],
|
|
[[1]],
|
|
]
|