[Bug?] Using multiple frequency ranges - last example provided throws errors on certain .wav files

[ricardofeynman]

LOVE this. Thank you for upping the game!

I've been using this repo's multi-freq example workflow on shorter 3 sec .wav clips without issue, and the larger 30 sec .wav clip I'm using threw no errors when using your civitai audio reactive workflow example.

However when I try to use the 30 sec clip in the multi-freq example, the following errors are thrown, regarding the second (of four in Positive Strengths) "Normalize Amplitude To Float or Int" node:

Error occurred when executing NormalizedAmplitudeToNumber:

Cannot convert non-finite values (NA or inf) to integer

File "/home/x/Desktop/ComfyUI_2023-11-15_1692C/ComfyUI/execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/home/x/Desktop/ComfyUI_2023-11-15_1692C/ComfyUI/execution.py", line 83, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/home/x/Desktop/ComfyUI_2023-11-15_1692C/ComfyUI/execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/home/x/Desktop/ComfyUI_2023-11-15_1692C/ComfyUI/custom_nodes/ComfyUI-AudioScheduler/nodes.py", line 391, in convert
return (normalized_amp, normalized_amp.astype(int))
File "/home/x/.local/lib/python3.10/site-packages/pandas/core/generic.py", line 6534, in astype
new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors)
File "/home/x/.local/lib/python3.10/site-packages/pandas/core/internals/managers.py", line 414, in astype
return self.apply(
File "/home/x/.local/lib/python3.10/site-packages/pandas/core/internals/managers.py", line 354, in apply
applied = getattr(b, f)(**kwargs)
File "/home/x/.local/lib/python3.10/site-packages/pandas/core/internals/blocks.py", line 616, in astype
new_values = astype_array_safe(values, dtype, copy=copy, errors=errors)
File "/home/x/.local/lib/python3.10/site-packages/pandas/core/dtypes/astype.py", line 238, in astype_array_safe
new_values = astype_array(values, dtype, copy=copy)
File "/home/x/.local/lib/python3.10/site-packages/pandas/core/dtypes/astype.py", line 183, in astype_array
values = _astype_nansafe(values, dtype, copy=copy)
File "/home/x/.local/lib/python3.10/site-packages/pandas/core/dtypes/astype.py", line 101, in _astype_nansafe
return _astype_float_to_int_nansafe(arr, dtype, copy)
File "/home/x/.local/lib/python3.10/site-packages/pandas/core/dtypes/astype.py", line 146, in _astype_float_to_int_nansafe
raise IntCastingNaNError(

Any idea why this might be happening? All my audio clips were exported from Audacity with standard .wav export settings (converted from a .flac I didn't create), if that helps at all.

Edit: Update - I've tried with newly created 30 sec .wav samples, and no other errors thrown so far.

[a1lazydog]

Looks like it was happening in the normalization node. I wonder if there was a divide by zero at some point and that wouldn't work. thank you for reporting this issue. Will look into it more later.

[a1lazydog]

Fix should be up for this

[ricardofeynman]

Thanks, can confirm no errors thrown when using the same .wav that brought the issue to my attention.

Was planning to post a feature request when I have a little more time next week, but I can already see the benefit of having an option for more granular subdivisions on the graph images, both for Amplitude and Frame(s).

0.05 Amplitude and 5 Frame(s) increments denoted would be a great help.