bump to version 2.1.0
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@@ -5,6 +5,31 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [2.1.0] - 2026-09-19
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Backward compatible changes:
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- "save IMAGE to file" and "save IMAGE+MASK to file" can now be used like
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ComfyUI's built-in "Save Image" node: images written into the output (or temp)
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folder are reported back to the frontend, so the node shows a preview of what
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it saved and the images appear in ComfyUI's generated-images list. In addition
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both nodes got a second `images` output that passes the images through
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unchanged, like the built-in node does.
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- files written somewhere else (plain `path` mode) are still saved, they just
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cannot be previewed, as ComfyUI can only serve files from its own folders
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- Both save nodes now embed ComfyUI's workflow metadata (the API prompt and the
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full workflow) in addition to the existing prompt metadata. Dragging a saved
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file back onto the canvas therefore restores the workflow, while the explicitly
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given `prompt` / `negative_prompt` remain in the `parameters` text that image
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viewers display and that is easy to extract afterwards. This is what makes the
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two channels worth having when a whole batch is saved from a data list: the
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workflow then contains every prompt of the graph, whereas `parameters` always
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holds the prompt of the image that was actually written.
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- ComfyUI's `--disable-metadata` option suppresses both channels, exactly like
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it does for the built-in save node
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- No widget was added, removed or reordered, so existing workflows keep their
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saved widget values.
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## [2.0.0] - 2026-09-11
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Critical change that ensures reliablity and **should** have no bad side
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+1
-1
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
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[project]
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name = "basic_data_handling"
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version = "2.0.0"
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version = "2.1.0"
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description = """Basic Python functions for manipulating data that every programmer is used to, lightweight with no additional dependencies.
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Supported data types:
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