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QuantumGhost 2c1ab4879f refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025) ... refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025) This PR addresses serialization issues in the VariablePool model by separating the `value_type` tags for `IntegerSegment`/`FloatSegment` and `IntegerVariable`/`FloatVariable`. Previously, both Integer and Float types shared the same `SegmentType.NUMBER` tag, causing conflicts during serialization. Key changes: - Introduce distinct `value_type` tags for Integer and Float segments/variables - Add `VariableUnion` and `SegmentUnion` types for proper type discrimination - Leverage Pydantic's discriminated union feature for seamless serialization/deserialization - Enable accurate serialization of data structures containing these types Closes #22024.		7 months ago
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__init__.py	fix: Introduce ArrayVariable and update iteration node to handle it (#12001)	1 year ago
consts.py	feat(api): Introduce `WorkflowDraftVariable` Model (#19737)	9 months ago
exc.py	feat/enhance the multi-modal support (#8818)	1 year ago
segment_group.py	feat/enhance the multi-modal support (#8818)	1 year ago
segments.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	7 months ago
types.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	7 months ago
utils.py	feat: Persist Variables for Enhanced Debugging Workflow (#20699)	8 months ago
variables.py	refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)	7 months ago