{"schema_version":"onlylabs.public_signal.v1","title":"Google (DeepMind / Gemini) Repo: google-deepmind/tree","description":"Google (DeepMind / Gemini) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/de5b3669-6dbd-4b95-9ca8-ded274e04067","json_url":"https://onlylabs.fyi/signals/de5b3669-6dbd-4b95-9ca8-ded274e04067/signal.json","generated_at":"2026-06-11T03:56:59.69038+00:00","org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/google-deepmind","dossier_json_url":"https://onlylabs.fyi/labs/google-deepmind/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/de5b3669-6dbd-4b95-9ca8-ded274e04067","signal_json":"https://onlylabs.fyi/signals/de5b3669-6dbd-4b95-9ca8-ded274e04067/signal.json","source":"https://github.com/google-deepmind/tree","lab_dossier":"https://onlylabs.fyi/labs/google-deepmind","lab_dossier_json":"https://onlylabs.fyi/labs/google-deepmind/dossier.json","analysis":"https://onlylabs.fyi/analysis/google-deepmind","analysis_json":"https://onlylabs.fyi/analysis/google-deepmind/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/google-deepmind/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"data","label":"Data demand","url":"https://onlylabs.fyi/data-radar/data","json_url":"https://onlylabs.fyi/data-radar/data/signals.json"}]}},"answer_pack":{"answer":"Google (DeepMind / Gemini) published google-deepmind/tree (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo google-deepmind/tree · language Python. onlylabs links this event to 1 captured evidence page and 6 related repo signals. 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implications."},"semantic_triples":[{"subject":"Google (DeepMind / Gemini)","predicate":"published repo","object":"google-deepmind/tree","text":"Google (DeepMind / Gemini) published repo google-deepmind/tree."},{"subject":"google-deepmind/tree","predicate":"is classified as","object":"repo signal","text":"google-deepmind/tree is classified as repo signal."},{"subject":"google-deepmind/tree","predicate":"belongs to","object":"repos desk","text":"google-deepmind/tree belongs to repos desk."},{"subject":"google-deepmind/tree","predicate":"has context","object":"Python","text":"google-deepmind/tree has context Python."},{"subject":"google-deepmind/tree","predicate":"has evidence coverage","object":"1 captured evidence page","text":"google-deepmind/tree has evidence coverage 1 captured evidence page."},{"subject":"google-deepmind/tree","predicate":"matches data-business lanes","object":"Data demand","text":"google-deepmind/tree matches data-business lanes Data demand."},{"subject":"google-deepmind/tree","predicate":"has captured page count","object":"1","text":"google-deepmind/tree has captured page count 1."},{"subject":"google-deepmind/tree","predicate":"has readable page count","object":"1","text":"google-deepmind/tree has readable page count 1."},{"subject":"google-deepmind/tree","predicate":"has related signal count","object":"6","text":"google-deepmind/tree has related signal count 6."},{"subject":"google-deepmind/tree","predicate":"has analysis playbook objective","object":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","text":"google-deepmind/tree has analysis playbook objective Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.."},{"subject":"google-deepmind/tree","predicate":"has source 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In a way, `tree` generalizes the builtin `map` function which only supports flat sequences, and allows to apply a function to each \"leaf\" preserving the overall structure. ```python >>> import tree >>> structure = [[1], [[[2, 3]]], [4]] >>> tree.flatten(structure) [1, 2, 3, 4] >>> tree.map_structure(lambda v: v**2, structure) [[1], [[[4, 9]]], [16]] ``` `tree` is backed by an optimized C++ implementation suitable for use in demanding applications, such as machine learning models. Installation From PyPI: ```shell $ pip install dm-tree ``` Directly from github using pip: ```shell $ pip install git+git://github.com/deepmind/tree.git ``` Build from source: ```shell $ python setup.py install ``` Support If you are having issues, please let us know by filing an issue on our [issue tracker](https://github.com/deepmind/tree/issues). License The..."},"evidence_pages":[{"url":"https://github.com/google-deepmind/tree","final_url":"https://github.com/google-deepmind/tree","title":"google-deepmind/tree repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:56:59.69038+00:00","bytes":8971,"raw_path":"104b44be665655813be03b7c6102e1485bf0ced61e23c3d57d4fe0313b1e38f9.json","content_hash":"d86d32fc9b6795da2a05847fc0498d580bead161477e65a55e40d9913613c5d5","excerpt_chars":1200,"truncated":true,"excerpt":"google-deepmind/tree Description: tree is a library for working with nested data structures Language: Python License: Apache-2.0 Stars: 1022 Forks: 70 Open issues: 40 Created: 2019-10-08T08:57:45Z Pushed: 2026-03-31T14:56:37Z Default branch: master Fork: no Archived: no README: Tree `tree` is a library for working with nested data structures. In a way, `tree` generalizes the builtin `map` function which only supports flat sequences, and allows to apply a function to each \"leaf\" preserving the overall structure. ```python >>> import tree >>> structure = [[1], [[[2, 3]]], [4]] >>> tree.flatten(structure) [1, 2, 3, 4] >>> tree.map_structure(lambda v: v**2, structure) [[1], [[[4, 9]]], [16]] ``` `tree` is backed by an optimized C++ implementation suitable for use in demanding applications, such as machine learning models. Installation From PyPI: ```shell $ pip install dm-tree ``` Directly from github using pip: ```shell $ pip install git+git://github.com/deepmind/tree.git ``` Build from source: ```shell $ python setup.py install ``` Support If you are having issues, please let us know by filing an issue on our [issue tracker](https://github.com/deepmind/tree/issues). License The..."}],"related_signals":[{"id":"02f8701d-7bfd-41b5-aabe-1ad72a880dfb","url":"https://onlylabs.fyi/signals/02f8701d-7bfd-41b5-aabe-1ad72a880dfb","source_url":"https://github.com/google-deepmind/unpic","title":"google-deepmind/unpic","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-06-04T14:37:24+00:00","first_seen_at":"2026-06-05T05:42:58.453363+00:00","date_source":"source"},{"id":"35320cac-ddbe-4f25-a3b5-384a0ca0030b","url":"https://onlylabs.fyi/signals/35320cac-ddbe-4f25-a3b5-384a0ca0030b","source_url":"https://github.com/google-deepmind/seeing_without_pixels","title":"google-deepmind/seeing_without_pixels","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-06-03T04:04:52+00:00","first_seen_at":"2026-06-05T05:42:58.453363+00:00","date_source":"source"},{"id":"62f799ef-bf1d-4aee-9f87-fa0de8bb5e81","url":"https://onlylabs.fyi/signals/62f799ef-bf1d-4aee-9f87-fa0de8bb5e81","source_url":"https://github.com/google-deepmind/nested","title":"google-deepmind/nested","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-05-18T16:16:42+00:00","first_seen_at":"2026-06-05T05:42:58.453363+00:00","date_source":"source"},{"id":"e67b1d5f-ef62-4574-80df-a72a4bded705","url":"https://onlylabs.fyi/signals/e67b1d5f-ef62-4574-80df-a72a4bded705","source_url":"https://github.com/google-deepmind/science-skills","title":"google-deepmind/science-skills","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-05-13T16:17:41+00:00","first_seen_at":"2026-06-05T05:42:58.453363+00:00","date_source":"source"},{"id":"7b714793-a56e-495b-8d57-85fd2850555a","url":"https://onlylabs.fyi/signals/7b714793-a56e-495b-8d57-85fd2850555a","source_url":"https://github.com/google-deepmind/alphaproof-nexus-results","title":"google-deepmind/alphaproof-nexus-results","context":"Lean","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-05-13T09:59:21+00:00","first_seen_at":"2026-06-05T05:42:58.453363+00:00","date_source":"source"},{"id":"dab748d2-53d6-4972-a594-eb6bfbf727ea","url":"https://onlylabs.fyi/signals/dab748d2-53d6-4972-a594-eb6bfbf727ea","source_url":"https://github.com/google-deepmind/tecci","title":"google-deepmind/tecci","context":"JavaScript","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab"},"occurred_at":"2026-05-05T12:22:40+00:00","first_seen_at":"2026-06-05T05:42:58.453363+00:00","date_source":"source"}]}