- DecodeTranscriptNode to parse transcript text - YoutubeUploadNode to upload videos to YouTube - Audio metadata and file list nodes - Image stack blending and stripping alpha channel - Sampler dataset creation node - Utils for deep copying tensors and arrays Also includes: - Testing for new utils module - Git nodes marked with base class - Renamed nodes.py to avoid conflicts - Import refactoring to handle naming Specifics: - descript.py: New transcript parsing node - youtube_nodes.py: New YouTube upload node - audio.py: New audio metadata and file list nodes - utils.py: Deep copy utility functions - image.py: New image stack blending and alpha stripping - tests/test_utils.py: Tests for new utils - git.py: Marked git nodes with base class - __init__.py: Refactored imports and mappings - requirements.txt: Added YouTube dependencies - functional.py: Minor tweaks - modules/youtube.py: Helper for upload node - video.py: Minor cleanup - tests/test_youtube_nodes.py: Test for YouTube upload
42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
import torch
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import numpy as np
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from custom_nodes.EternalKernelLiteGraphNodes.utils import etk_deep_copy
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def test_etk_deep_copy():
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original = {
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"list": [1, 2, 3, [4, 5, 6], {"inner_list": [7, 8, 9]}],
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"dict": {"inner_dict": {"key": "value"}}
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}
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torch_test = {"torch_tensor": torch.tensor([1, 2, 3])}
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np_test = {"np_array": np.array([1, 2, 3])}
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test(original)
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test(torch_test)
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test(np_test)
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def test(original):
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# Creating a deep copy
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copy = etk_deep_copy(original)
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# Modifying the original structure
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if "list" in original:
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original["list"][0] = 100
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if isinstance(original["list"][3], list):
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original["list"][3][0] = 200
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if "inner_list" in original["list"][4]:
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original["list"][4]["inner_list"][0] = 300
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if "dict" in original and "inner_dict" in original["dict"]:
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original["dict"]["inner_dict"]["key"] = "modified"
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if "torch_tensor" in original:
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original["torch_tensor"][0] = 100
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if "np_array" in original:
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original["np_array"][0] = 200
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# Returning both the original and the copy for inspection
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return original, copy
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