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TypeResolver: trim verbose comments and docstrings

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Amp-Thread-ID: https://ampcode.com/threads/T-019e8568-f382-743d-a97f-0de3ff29d501
Co-authored-by: Amp <amp@ampcode.com>
This commit is contained in:
Jedrzej Kosinski
2026-06-01 16:54:05 -07:00
parent 15f55f1b24
commit 004ac8820b
4 changed files with 45 additions and 105 deletions
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20
comfy_api/latest/_io.py
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@@ -1357,12 +1357,9 @@ class Range(ComfyTypeIO):
})
# Signature: (out_dict, live_inputs, value, input_type, curr_prefix, live_input_types)
# live_input_types is an optional {input_id: resolved_io_type} dict produced
# by comfy_execution.type_resolver.TypeResolver. Existing dynamic-input
# implementations may ignore it; future type-discriminated dynamic inputs
# (e.g. a per-connected-type variant of DynamicCombo) use it as their
# discriminator instead of literal live_inputs values.
# Signature: (out_dict, live_inputs, value, input_type, curr_prefix, live_input_types).
# live_input_types is {input_id: resolved_io_type} from TypeResolver; existing
# expanders ignore it, future type-discriminated ones use it as discriminator.
_DynamicInputFunc = Callable[
[dict[str, Any], dict[str, Any], tuple[str, dict[str, Any]], str, list[str] | None, dict[str, str] | None],
None,
@@ -1722,15 +1719,8 @@ class Schema:
def get_finalized_class_inputs(d: dict[str, Any], live_inputs: dict[str, Any], include_hidden=False, live_input_types: dict[str, str] | None = None) -> tuple[dict[str, Any], V3Data]:
"""Expand a node's V3 schema against a concrete prompt.
Args:
d: ``INPUT_TYPES()``-shaped dict for the node.
live_inputs: Concrete ``{input_id: value}`` map from the prompt
(values may be links ``[node_id, slot_idx]`` or literals).
include_hidden: When True, retain hidden inputs in the returned dict.
live_input_types: Optional ``{input_id: resolved_io_type}`` map
produced by ``comfy_execution.type_resolver.TypeResolver``. Future
dynamic-input strategies that branch on connected type use this as
their discriminator. Existing dynamic types ignore it.
``live_input_types`` is an optional ``{input_id: resolved_io_type}`` map
(from ``TypeResolver``) used by future type-discriminated dynamic inputs.
"""
out_dict = {
"required": {},