| Commit message (Collapse) | Author | Age | Files | Lines |
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src/ held two parts, the surfaces that show modules to people and the
symbol format with its CPU and GPU drawing. As in Pure (design 009), top
level directories are now the parts, and the README says what each builds.
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Pure builds the app model and the tree store as one library with headers in
core/; Vega no longer lists Pure's files, so a new one there cannot break it.
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OpenGL ES 3.1: the file's points go up as one storage buffer, each symbol
gets 16 row bands listing the curves they reach (cut by integer division of
doubled coordinates, so CPU and shader agree), and every pixel of a symbol's
box sums the exact area of its bands' curves, as vega_coverage does.
vega-symbols gpu draws every symbol against the CPU reference and times
1080p pages.
On the Pi 5's V3D it matches the reference (mean 0.001-0.1 levels, worst
4) but takes 142-757 ms a page, 83% of it in the area function. A sorting
network in registers made it 2.3x faster yet computes wrong rows in the
fragment stage with this driver, while the same code is exact in a compute
shader; so drawing each glyph size once into an atlas by compute comes next.
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Symbol files (VEGASYM1) hold glyphs and icons as quadratic curves, verified
once per symbol and then read in place. vega-symbols builds them from fonts
(through FreeType, losslessly: twice the font's units keeps TrueType's
implied points whole) and from solid SVG paths (arcs included), refusing by
name what an icon asks for that symbols cannot hold.
The reference rasterizer computes each pixel's covered area exactly: every
curve's integral of clamp(1 - x) dy inside the pixel, split where it crosses
the pixel's sides. The Slug-style two-ray average first tried missed FreeType
by 15.4 levels on average at 12 px; exact area is within 1.2-3.5 at 8-16 px,
and where it differs most it matches 64x64 supersampling, not FreeType.
Reaching an outline costs 4.6-29x less than through FreeType, but the files
are 2.1-6.6x larger than glyf or CFF: design 002 has the numbers and the next
question (points shared along contours, lines without control points).
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examples/board.aup is a kanban board: people add and move cards on
Vega's surfaces, programs post JSON to the same module served by
pure-serve, with no routes written. The checks write cards with the CLI
into a store, serve that store over HTTP where a program moves one and
adds another, and read it again with the CLI, the focus still on the
card it was on.
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vega web MODULE serves the screen to a browser (127.0.0.1 unless given
--listen): one dependency-free page draws the title, fields, lists as
listboxes and tables, with tones as colors and the focus highlighted. It
asks for the screen as JSON with the rows it can show per list or table,
so only those cells are evaluated, scrolled like the TUI around the
focus. Keys go as KeyboardEvent.code, which is Pure's key naming already;
typed text commits with Enter; a click or the wheel moves the focus
through pure_app_point; an event stream tells every open page of each
change. Scrolling, key presses and text commits are now shared helpers.
The checks drive it against the model (1,200 random steps: title, field,
rows, focus, the window of items with badges and tones), check a table's
columns and cells, post at random to every example, and in headless
Chromium over the DevTools protocol press keys, click a row and type
Korean text into the page itself.
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Every surface takes --store PATH and runs the app on Pure's tree store,
so a list typed in the terminal is there the next time, on any surface.
Vega and the app carry no saving code; Vega saves the last frame changes
when it ends.
Checks let the CLI and the sentence surface take turns on one store and
match the model each time, and reopen an interactive session's store.
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Vega reads a verified Pure module by convention: a table view with a
label column is a list (with optional badge, detail and tone), any other
table is a table, <table>_focus is its focused row, a title view is the
title and other views are fields. lib/vega.aup gives aup apps the tones,
which say what a row means; each surface decides how it looks or sounds.
vega tui draws the screen in a terminal, keeps the focused row in view
and evaluates only the cells on screen; vega cli prints plain lines for
pipes; vega say speaks the screen and each focus change as sentences.
Display width handles Hangul, CJK, emoji, combining marks and controls.
tests/check.py compares the CLI and NUI output with a reference model of
examples/todo.aup line for line, checks 9,600 TUI frames for scrolling,
focus, badge alignment and the number of cells evaluated, drives the
interactive TUI on a pseudo-terminal, and runs every aup example on every
surface.
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