chore(deps): bump softprops/action-gh-release from 2 to 3 - #3

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dependabot/github_actions/softprops/action-gh-release-3

Commits on Jul 3, 2026

chore: ignore python bytecode and venvs
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a21e6c1
Add MIT license
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54d5be2
docs: add readme title and tagline
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3343a06
build: add hatchling build backend
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405f399
build: declare project metadata (v0.1.0)
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3ea8b26
feat: create package skeleton
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chore: mark package as typed (PEP 561)
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chore: ignore tooling caches
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chore: add editorconfig
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build: add trove classifiers
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67dba61
build: pin numpy, add torch/dev extras
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build: add urls and console entry point
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build: configure hatch wheel/sdist
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chore: enable ruff lint rules
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chore: add pytest/mypy/coverage config
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ci: add workflow skeleton
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24348e4
ci: add lint + type-check job
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ci: add test matrix (py3.10-3.12)
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chore: add pre-commit hooks
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ci: enable dependabot for pip + actions
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docs: add bug report template
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docs: add feature request template
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docs: add pull request template
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chore: add CODEOWNERS
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feat: add core dataclasses and type aliases
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feat(nn): add gelu/softmax/layernorm/linear
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feat(nn): add attention and l2 normalize
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refactor: rename _math -> functional
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test: add shared fixtures
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test: cover softmax/gelu/linear
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test: cover layernorm and attention
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feat: add component registry
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test: cover registry register/get
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feat: add temporary seed helper
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feat(encoders): add BaseEncoder abc
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feat(encoders): mock audio encoder scaffold
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feat(encoders): add spectral window stats
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feat(encoders): mock video encoder scaffold
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feat(encoders): add per-frame grid stats
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feat(encoders): export encoders
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test: audio encoder shape + determinism
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test: video encoder + timestamps
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chore: drop unused seed helper, seeds are per-component
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feat(proj): add BaseProjector
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feat(proj): linear projector
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feat(proj): mlp projector
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feat(proj): q-former queries + cross-attn
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feat(proj): multi-head split for q-former
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feat(proj): mean and attentive pooling
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feat(proj): export projectors
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test: linear/mlp projector shapes
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test: q-former compression + pooling
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feat: export config + encoders from package
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feat: add hashing tokenizer with modality tokens
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test: tokenizer ids and specials
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feat(prompt): segments + MultimodalPrompt
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feat(prompt): placeholder expansion builder
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test: placeholder expansion
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test: segment order + empty modality
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feat(gen): config + repetition penalty
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feat(gen): sampler with temperature
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feat(gen): add top-k / top-p filters
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test: greedy + repetition penalty
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test: top-k / top-p behavior
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feat(llm): add BaseLLM interface
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feat(llm): grounded mock language model
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feat(llm): descriptor helpers
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feat(llm): export backends
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test: determinism + modality grounding
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test: truncation + token counts
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feat(config): encoder/projector/llm configs
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feat(config): top-level config + json/yaml io
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test: config roundtrip + json
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test: yaml missing-dep path
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feat(model): AVSample container
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feat(model): encode/project/generate pipeline
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feat(model): build model from config
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test: end-to-end across projectors
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test: single-modality models
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feat: export projectors, model, generation
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feat(sampling): uniform + fps frame indices
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feat(sampling): keyframe selection
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test: uniform + fps indices
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test: keyframe + frame selection
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feat(align): cosine sim + info-nce
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feat(align): recall@k + retrieval report
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test: info-nce + cosine
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test: recall + median rank
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feat(metrics): bleu + rouge-l
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feat(metrics): cider approximation
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feat(metrics): exact-match + token-f1
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test: bleu/rouge-l
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test: cider + qa metrics
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feat(data): synthetic media + manifest reader
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refactor: rename datasets -> data
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test: synth data + manifest
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feat(cli): argument parser + model factory
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feat(cli): demo/caption/info commands
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test: cli info/demo/caption
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test: cli parser + version
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feat(llm): optional torch/transformers backend
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test: torch backend smoke (importorskip)
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feat: expose alignment + full public api
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examples: add sample manifest
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examples: video captioning demo
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examples: audio-visual qa demo
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examples: instruction following + eval
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examples: custom projector
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docs: examples index
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bench: projector forward throughput
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docs: benchmarks readme
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chore: sample-data generator script
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chore: local run-checks script
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docs: add status badges
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docs: describe the inference pipeline
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docs: explain motivation
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docs: add install section
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docs: add quickstart + cli usage
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docs: add core components table
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docs: add development section
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docs: add license footer
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docs: architecture — layered dataflow
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docs: architecture — orchestration + side modules
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docs: usage — inference and projectors
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docs: usage — cli, eval, torch backend
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docs: design notes — why pure numpy
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docs: rename design -> design-notes
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docs: design notes — projector + decoding choices
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docs: api reference — model/config/encoders
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docs: api reference — generation/metrics/data
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docs: add contributing guide
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docs: add code of conduct
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docs: add security policy
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ci: add codeql analysis
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ci: add release workflow
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docs: start changelog (0.1.0)
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chore: bump version to 0.2.0
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docs: changelog 0.2.0
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chore: bump version to 0.3.0
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docs: changelog 0.3.0
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chore(deps): bump softprops/action-gh-release from 2 to 3
dependabot[bot]
authored
5c4f87d