القائمة
Core TokSearch Pipeline workflow — creating pipelines, fetch/map/where/keep, record data access, and iterating results
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
TokSearch compute backends — serial, multiprocessing, Ray, and Spark; when to use each and configuration options
TokSearch xarray dataset integration — fetch_dataset and align for multi-signal time-aligned analysis
MdsSignal for fetching MDSplus tree data — constructor args, location formats, TDI expressions, dims, and DIII-D efit01 signals via FDP/Pelican
| name | toksearch-pipeline |
| description | Core TokSearch Pipeline workflow — creating pipelines, fetch/map/where/keep, record data access, and iterating results |
| user-invocable | false |
| license | Apache-2.0 |
| compatibility | Claude Code |
| metadata | {"author":"GA-FDP","version":"2.0","url":"https://ga-fdp.github.io/toksearch/"} |
The canonical Pipeline documentation lives in the toksearch package docstring.
Access it with: help(toksearch) or python -c "help(toksearch)"
Covers: Pipeline creation, fetch/map/where/keep, Records, signal data format, error handling, backends, datasets, alignment, working with results (DataFrame conversion), and critical API gotchas.
