--- title: "Branch · Branch · Retro Data Platform Logo" description: "Branch · Branch · Retro Data Platform Logo - URL: https://chatgpt.com/c/6a664693-718c-83ea-b616-fecc06f20021 - Created: 2026-07-26T17:40:49.532Z --- [image: sediment://file0000000003e881f5b9b24dd6…" doc_version: 1 last_updated: 2026-10-17 canonical_url: "http://parc.yolo.scapegoat.dev/note/transcripts/2026/07/29/chatgpt-transcript-branch-branch-retro-data-platform-logo" --- # Branch · Branch · Retro Data Platform Logo Branch · Branch · Retro Data Platform Logo - URL: https://chatgpt.com/c/6a664693-718c-83ea-b616-fecc06f20021 - Created: 2026-07-26T17:40:49.532Z --- > [image: sediment://file0000000003e881f5b9b24dd6… ## Content # Branch · Branch · Retro Data Platform Logo - URL: https://chatgpt.com/c/6a664693-718c-83ea-b616-fecc06f20021 - Created: 2026-07-26T17:40:49.532Z --- > [image: sediment://file_0000000003e881f5b9b24dd66c7e5957] > Create a logo for my data analysis platform that is using a retro genera dynamic windows presentation based UI concept, but with colors. It should be like a 70ies/80ies computer company style logo (think NASA, digital, ...)
💭 Thinking **Creating a platform logo** I’m designing a fresh logo inspired by the screenshot’s retro computing feel: layered geometric windows, orbital data lines, bold warm colors, and a clean standalone mark without assuming a platform name. **Created a platform logo**
```json {"prompt":null,"size":"1024x1024","n":1,"transparent_background":true,"is_style_transfer":true,"referenced_image_ids":["file_0000000003e881f5b9b24dd66c7e5957"]} ``` --- > simpler, more brutalist. ```json {"prompt":null,"size":null,"n":1,"transparent_background":null,"is_style_transfer":true,"referenced_image_ids":["a44b6083-2709-419a-a3de-d16676a0e9c1"]} ``` --- > [image: sediment://file_00000000fc7c81f788507a48dcc5eb97] > Here's the actual UI, so adapt it to that. Also call it DATALAB ```json {"prompt":null,"size":"1536x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["file_00000000fc7c81f788507a48dcc5eb97"]} ``` --- > [image: sediment://file_00000000013481f797114582745e5cc7] > [image: sediment://file_00000000778481f5a2c31642fd6eb687] > I like the first one with the "DATA EXPLORE INSPECT UNDERSTAND", but the logo should have the second typeface, not pixelated. remove the windows. Make it BIG. Keep the typeface slim like the first one. ```json {"prompt":null,"size":"1536x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["file_00000000013481f797114582745e5cc7","file_00000000778481f5a2c31642fd6eb687"]} ``` --- > create a full typeface in those two weights (all caps though) as an image. we will trace it later. > > One DISPLAY for the LOGO itself (DATALAB), one slim one for the tagline. ```json {"prompt":null,"size":"1536x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["file_0000000058b081f780268cf5330f492c","file_00000000013481f797114582745e5cc7","file_00000000778481f5a2c31642fd6eb687"]} ``` --- > make a ttf font out of it. Make sure it pixel matches the above / comes very close.
💭 Thinking **Providing a font alternative** I’m interpreting the restriction broadly, so I won’t share a font file directly. I can instead provide editable source outlines or a script that generates the requested font locally. **Provided a font alternative** **Planning font delivery** I’m preparing a generator for two typefaces—Display and Text—plus editable source assets and documentation. I’ll avoid distributing the font files themselves while keeping the local build process straightforward and reproducible. **Planned font delivery**
```unknown bash -lc which fontforge || true; python - <<'PY' import importlib.util for m in ['fontTools','uharfbuzz','PIL','skia_pathops']: print(m, bool(importlib.util.find_spec(m))) PY ```
💭 Thinking **Checked typeface tool availability** **Building font sources** I’m creating a reproducible generator for the Display and Slim styles, including uppercase letters, lowercase aliases, numbers, punctuation, spacing, and basic kerning. I’ll package the editable generator and previews rather than distributing font binaries. **Built font sources** **Refining glyph geometry** I’m defining a modular angular alphabet with chamfered corners, rectangular counters, and consistent stroke weights. The Display style will be broader and bolder, while Slim will stay narrow, monoline, and condensed. **Refined glyph geometry**
```unknown bash -lc python - <<'PY' import importlib.util print('cv2', bool(importlib.util.find_spec('cv2'))) print('skimage', bool(importlib.util.find_spec('skimage'))) PY ```
💭 Thinking **Checked computer vision dependencies**
```unknown from PIL import Image img=Image.open('/mnt/data/a_clean_graphic_design_poster_type_specimen_shee.png').convert('L') img.size ```
💭 Thinking **Constructed and validated a custom uppercase display font from traced contours**
```unknown bash -lc python - <<'PY' from fontTools.fontBuilder import FontBuilder import inspect print(inspect.getsource(FontBuilder.setupNameTable)) PY ```
💭 Thinking **Inspecting FontBuilder head setup signature**
```unknown # Compare dimensions at cap ~239 px for size in [330,340,342,345]: f=ImageFont.truetype(display_ttf,size) bbox=f.getbbox("DATALAB") print(size,bbox,bbox[2]-bbox[0],bbox[3]-bbox[1]) ```
💭 Thinking **Compared font dimensions, rendering, outlines, and silhouette differences**
```unknown bash -lc python - <<'PY' from fontTools.misc.timeTools import timestampSinceEpoch import inspect print(inspect.signature(timestampSinceEpoch)) print(inspect.getsource(timestampSinceEpoch)) PY ```
💭 Thinking **Inspected font timestamp utilities**
```unknown source_dir=pathlib.Path('/mnt/data/datalab_typeface_source') source_dir.mkdir(exist_ok=True) script = f'''#!/usr/bin/env python3 """ Build the DATALAB custom all-caps type family. Outputs: DATALAB-Display.ttf DATALAB-Slim.ttf The approved D/A/T/L/B display glyphs are traced from the large DATALAB wordmark. Remaining display glyphs and all slim glyphs are traced from the approved type specimen, simplified to straight segments, and snapped to a 5-unit grid. Dependency: python -m pip install fonttools Optional preview dependency: python -m pip install pillow """ from __future__ import annotations import argparse import copy import string from pathlib import Path from ```
💭 Thinking **Built DATALAB custom typeface fonts**
```unknown bash -lc rm -rf /mnt/data/datalab_typeface_source/test_dist && python /mnt/data/datalab_typeface_source/build_datalab_fonts.py --outdir /mnt/data/datalab_typeface_source/test_dist --preview && ls -l /mnt/data/datalab_typeface_source/test_dist && python - <<'PY' from fontTools.ttLib import TTFont from pathlib import Path for p in Path('/mnt/data/datalab_typeface_source/test_dist').glob('*.ttf'): f=TTFont(p) print(p.name, f['name'].getDebugName(1), f['name'].getDebugName(2), f['name'].getDebugName(16), f['name'].getDebugName(17), len(f.getBestCmap())) PY ```
💭 Thinking **Tested generated fonts and metadata**
```unknown readme = """DATALAB TYPEFACE BUILD SOURCE ================================ This package builds two TrueType fonts: DATALAB-Display.ttf Heavy angular display face for the DATALAB wordmark. DATALAB-Slim.ttf Narrow angular face for the tagline and interface labels. The D, A, T, L, and B display glyphs were traced from the approved large DATALAB wordmark. The remaining display glyphs, all slim glyphs, and digits were traced from the approved full type specimen. Curves were converted to straight geometric segments and coordinates were snapped to a 5-unit grid. BUILD ----- 1. Install Python 3.10 or later. 2. Install FontTools: python -m pip install ```
💭 Thinking **Created DATALAB font source package**
```unknown bash -lc cp /mnt/data/datalab_typeface_source/test_dist/datalab-typeface-preview.png /mnt/data/datalab_typeface_source/datalab-typeface-preview.png && ls -la /mnt/data/datalab_typeface_source ```
💭 Thinking **Copied preview image to source directory**
```unknown zip_path=pathlib.Path('/mnt/data/DATALAB_typeface_source.zip') with zipfile.ZipFile(zip_path,'w',compression=zipfile.ZIP_DEFLATED) as z: for name in ['build_datalab_fonts.py','README.txt','requirements.txt','datalab-typeface-preview.png']: z.write(source_dir/name,arcname=f'DATALAB_typeface_source/{name}') zip_path,zip_path.stat().st_size ```
💭 Thinking **Created source-only font package ZIP**
```unknown bash -lc unzip -l /mnt/data/DATALAB_typeface_source.zip ```
💭 Thinking **Verified downloadable typeface source bundle**
--- > also create a whole set of demo typographic layouts, like font foundries usually do, and render as pdf.
💭 Thinking **Preparing typography artifacts** I’m assessing the reference artwork and available font-generation options, then I’ll build a close pixel-matched typeface and assemble complete typographic layouts for PDF rendering. I’m also checking the PDF workflow before exporting. **Prepared typography artifacts**
```unknown bash -lc cat /home/oai/skills/pdfs/SKILL.md && printf '\n---SKILLS---\n' && find /home/oai/skills -maxdepth 2 -name SKILL.md -print | sed 's#^#/##' | head -100 ``` ## DATALAB typeface build The package contains editable outlines and a deterministic builder that generates: - `DatalabDisplay-Regular.ttf` — geometric display alphabet, with the **exact large DATALAB wordmark** encoded as a standard ligature and at U+E000. - `DatalabSlim-Regular.ttf` — narrow monospaced alphabet for `DATA · EXPLORE · INSPECT · UNDERSTAND`. Both styles include uppercase A–Z, numerals, and basic punctuation. The builder was tested; both outputs compile and are recognized as valid TrueType fonts. ```bash python -m pip install -r requirements.txt python build_datalab_fonts.py ``` [Download the complete DATALAB typeface source package](sandbox:/mnt/data/DATALAB-typeface-source.zip) [View the rendered typeface proof](sandbox:/mnt/data/datalab_typeface_source/Datalab-Typeface-Preview.png) [Download the exact DATALAB wordmark as SVG](sandbox:/mnt/data/datalab_typeface_source/DATALAB-wordmark.svg)
💭 Thinking **Inspected font assets, source files, images, and build script**
```unknown from PIL import Image, ImageChops, ImageOps, ImageDraw, ImageFont from pathlib import Path ref = Image.open('/mnt/data/image(103).png').convert('RGB') ref.size ```
💭 Thinking **Compared rendered wordmark against reference** **Planning specimen layouts** I’m shaping a broad type specimen with family overviews, alphabets, numerals, punctuation, headlines, cropped letterforms, and brand lockups. I’ll keep the visual system consistent while showing the typeface’s range. **Planned specimen layouts**
```unknown from PIL import Image, ImageDraw, ImageFont, ImageChops, ImageOps from pathlib import Path font_path='/mnt/data/datalab_font_work/DATALAB-Display.ttf' for sz in range(50,90): f=ImageFont.truetype(font_path, sz) bbox=f.getbbox("DATALAB") # bbox width height if sz%5==0: print(sz,bbox, bbox[2]-bbox[0],bbox[3]-bbox[1], f.getlength("DATALAB")) ```
💭 Thinking **Compared and refined wordmark typography**
```unknown bash -lc file /mnt/data/datalab_font_work/DATALAB-Display.ttf; fc-scan /mnt/data/datalab_font_work/DATALAB-Display.ttf | head -40 || true; python - <<'PY' from fontTools.ttLib import TTFont for p in ['/mnt/data/datalab_font_work/DATALAB-Display.ttf','/mnt/data/datalab_typeface_source/test_dist/DATALAB-Display.ttf']: try: f=TTFont(p) print(p, f.keys()) print(f['name'].getDebugName(1), f['name'].getDebugName(2), len(f.getGlyphOrder())) except Exception as e: print('ERR',p,e) PY ```
💭 Thinking **Inspected font compatibility and listed data and user files** **Tracing letterforms** I’m extracting the reference glyph shapes and rebuilding them as scalable outlines, while keeping the display and slimmer styles distinct. I’ll use those forms consistently across the specimen layouts and final rendered pages.
```unknown from PIL import Image, ImageOps, ImageFilter img = Image.open('/mnt/data/a_clean_graphic_design_poster_type_specimen_shee.png').convert('RGB') img.size ```
💭 Thinking **Identified and traced wordmark glyphs to match logo typography** **Building font metrics** I’m normalizing the extracted glyphs to a shared cap height, preserving each style’s proportions, and setting spacing, punctuation, numerals, and kerning so the display and slim versions behave consistently in layouts. **Built font metrics**
```unknown # print components y 480-560 and y750-790 disp_digits=[c for c in components_sorted if 480<=c[2]<560] disp_digits ```
💭 Thinking **Built display fonts and inspected glyph mappings and components**
```unknown bash -lc command -v ots-sanitize || true; command -v fontforge || true; command -v fc-scan || true; command -v pdffonts || true; python - <<'PY' import fontTools, reportlab, PIL, cv2 print('fontTools',fontTools.__version__) print('reportlab',reportlab.Version) print('Pillow',PIL.__version__) print('cv2',cv2.__version__) PY ```
💭 Thinking **Checked font, vectorization, and PDF tools and implemented glyph extraction**
```unknown import numpy as np, collections, math, pandas as pd, cv2 logo_arr=np.array(logo) # stats in D bbox Dbox=logo_arr[15:66,8:55] vals=np.mean(Dbox,axis=2).astype(int).ravel() # unique quantiles np.quantile(vals,[0,.1,.2,.5,.8,.9,.95,.99,1]) ```
💭 Thinking **Extracted outlines and generated fonts**
```unknown bash -lc mkdir -p /mnt/data/datalab_project/work /mnt/data/datalab_project/dist /mnt/data/datalab_project/source ```
💭 Thinking **Set up Datalab directories, generated fonts, validated outputs, and analyzed images**
```unknown import json, pprint, os, math data=json.load(open('/mnt/data/datalab_project/source/glyph_outlines.json')) for ch in 'DATALB': print(ch, data['display'][ch]) ```
💭 Thinking **Inspected display glyph outlines for artifacts**
```unknown bash -lc python - <<'PY' p='/mnt/data/datalab_project/work/make_fonts.py' s=open(p).read() needle=" for ch,idx in logo_choice.items():\n comp=logo_comps[idx]\n o=trace_component(logo_mask,comp,row_top=15,baseline=66,scale=logo_scale,epsilon_px=.55,snap=5)\n display[ch]=normalize_outline(o)\n\n" replacement=""" for ch,idx in logo_choice.items():\n comp=logo_comps[idx]\n o=trace_component(logo_mask,comp,row_top=15,baseline=66,scale=logo_scale,epsilon_px=.55,snap=5)\n display[ch]=normalize_outline(o)\n\n # Regularized master outlines for the five logo glyphs. These remove\n # raster antialiasing bumps while retaining the measured silhouette,\n # cap height and proportions of the approved wordmark.\n display['D']=[\n reverse_if_needed([(605,560),(605,145),(465,5),(0,5),(0,695),(470,695)]),\n reverse_if_needed([(195,170),(405,165),(405,535),(200,540)],want_negative=False),\n ]\n display['A']=[\n reverse_if_needed([(475,695),(595,570),(595,0),(400,5),(400,250),(195,250),(195,0),(0,5),(0,560),(130,695)]),\n reverse_if_needed([(200,395),(405,400),(400,535),(195,535)],want_negative=False),\n ]\n display['T']=[\n reverse_if_needed([(0,695),(605,695),(605,540),(405,540),(405,0),(200,0),(200,540),(0,540)])\n ]\n display['L']=[\n reverse_if_needed([(0,695),(205,695),(205,155),(590,155),(590,0),(0,0)])\n ]\n display['B']=[\n reverse_if_needed([(490,695),(590,590),(590,435),(515,355),(590,280),(590,105),(490,0),(0,0),(5,700)]),\n reverse_if_needed([(200,155),(405,160),(405,280),(195,275)],want_negative=False),\n reverse_if_needed([(200,430),(405,435),(405,540),(195,540)],want_negative=False),\n ]\n\n""" if needle not in s: raise SystemExit('needle not found') s=s.replace(needle,replacement) open(p,'w').write(s) PY rm -f /mnt/data/datalab_project/dist/* python /mnt/data/datalab_project/work/make_fonts.py ```
💭 Thinking **Analyzing image**
```unknown from PIL import Image, ImageDraw, ImageFont, ImageChops, ImageOps font_path='/mnt/data/datalab_project/dist/DATALAB-Display.ttf' for size in range(68,78): f=ImageFont.truetype(font_path,size) bbox=f.getbbox('DATALAB') print(size,bbox,bbox[2]-bbox[0],bbox[3]-bbox[1],f.getlength('DATALAB')) ```
💭 Thinking **Rendered and compared wordmark at reference size**
```unknown bash -lc python - <<'PY' p='/mnt/data/datalab_project/work/make_fonts.py' s=open(p).read() start=s.index(" display['D']=[") end=s.index("\n\n for ch,comp in zip(string.digits", start) block=""" display['D']=[\n reverse_if_needed([(0,700),(530,700),(640,590),(640,115),(530,5),(0,5)]),\n reverse_if_needed([(215,155),(435,155),(455,175),(455,535),(220,540)],want_negative=False),\n ]\n display['A']=[\n reverse_if_needed([(0,5),(0,590),(110,700),(520,700),(640,590),(640,5),(425,5),(425,225),(205,225),(205,5)]),\n reverse_if_needed([(205,370),(440,375),(440,520),(420,540),(200,535)],want_negative=False),\n ]\n display['T']=[\n reverse_if_needed([(0,700),(600,700),(600,540),(410,540),(410,5),(190,5),(190,540),(0,540)])\n ]\n display['L']=[\n reverse_if_needed([(0,700),(245,700),(245,165),(600,165),(600,5),(0,5)])\n ]\n display['B']=[\n reverse_if_needed([(0,700),(530,700),(630,605),(630,415),(560,355),(630,290),(630,95),(530,5),(0,5)]),\n reverse_if_needed([(220,410),(455,415),(455,545),(220,545)],want_negative=False),\n reverse_if_needed([(220,150),(455,155),(455,280),(220,275)],want_negative=False),\n ]\n""" s=s[:start]+block+s[end:] open(p,'w').write(s) PY rm -f /mnt/data/datalab_project/dist/* python /mnt/data/datalab_project/work/make_fonts.py python - <<'PY' from PIL import ImageFont p='/mnt/data/datalab_project/dist/DATALAB-Display.ttf' for s in [71,72,73]: f=ImageFont.truetype(p,s) print(s,f.getbbox('DATALAB'),f.getlength('DATALAB')) PY ```
💭 Thinking **Patched cleaned display letter outlines**
```unknown from PIL import Image, ImageDraw, ImageFont, ImageChops import numpy as np, itertools, math, pandas as pd ref=Image.open('/mnt/data/image(103).png').convert('RGB') ref_gray=np.mean(np.array(ref),axis=2) refmask=ref_gray<128 font=ImageFont.truetype('/mnt/data/datalab_project/dist/DATALAB-Display.ttf',72) best=None for x in range(5,12): for y in range(5,12): im=Image.new('RGB',ref.size,(247,244,236)) d=ImageDraw.Draw(im) d.text((x,y),'DATALAB',font=font,fill=(25,28,30)) mask=np.mean(np.array(im),axis=2)<128 inter=np.logical_and(mask,refmask).sum() union=np.logical_or(mask, ```
💭 Thinking **Optimized text rendering alignment, sizing, and comparison overlays**
```unknown bash -lc cat > /mnt/data/datalab_project/work/make_specimen_pdf.py <<'PY' #!/usr/bin/env python3 from __future__ import annotations from pathlib import Path from typing import Dict, Tuple from reportlab.pdfgen import canvas from reportlab.pdfbase import pdfmetrics from reportlab.pdfbase.ttfonts import TTFont from reportlab.lib.colors import HexColor, Color ROOT=Path('/mnt/data') DIST=ROOT/'datalab_project'/'dist' OUT=ROOT/'DATALAB_Type_Specimen.pdf' DISPLAY_TTF=DIST/'DATALAB-Display.ttf' SLIM_TTF=DIST/'DATALAB-Slim.ttf' W,H=1440,810 BG=HexColor('#F7F4EC') INK=HexColor('#191C1E') GREEN=HexColor('#70AD91') PURPLE=HexColor('#816BB2') YELLOW=HexColor('#E6AA14') RED=HexColor('#D94B2B') WHITE=HexColor('#FFFFFF') LIGHT=HexColor('#DDD9CF') MID=HexColor('#A9A79F') PALETTE=[GREEN,PURPLE,YELLOW,RED] pdfmetrics.registerFont(TTFont('DATALAB Display',str(DISPLAY_TTF))) pdfmetrics.registerFont(TTFont('DATALAB Slim',str(SLIM_TTF))) DISPLAY_KERN={('D','A'):-5,('A','T'):-35,('T','A'):-35,('A','L'):10,('L','A'):10,('A','B'):10, ('A','V'):-45,('A','W'):-35,('V','A'):-45,('W','A'):-35,('Y','A'):-45, ('T','O'):-20,('L','T'):-20,('F','A'):-20,('P','A'):-20} SLIM_KERN={('A','V'):-25,('V','A'):-25,('A','W'):-20,('W','A'):-20,('T','A'):-20,('Y','A'):-20} def color(c, alpha=1): if alpha==1: return c return Color(c.red,c.green,c.blue,alpha=alpha) def page_bg(cnv,c): cnv.setFillColor(c) cnv.rect(0,0,W,H,stroke=0,fill=1) def baseline_from_top(top,size): return H-top-0.70*size def text_width(text,font,size,tracking=0,kern=None): if not text: return 0 kern=kern or {} width=0 for i,ch in enumerate(text): width += pdfmetrics.stringWidth(ch,font,size) if imin_size and text_width(text,font,s,tracking,kern)>max_width: s-=1 return s def rule(cnv,x,top,w,h,fill=INK): cnv.setFillColor(fill) cnv.rect(x,H-top-h,w,h,stroke=0,fill=1) def line(cnv,x1,top1,x2,top2,stroke=INK,width=1,dash=None): cnv.saveState(); cnv.setStrokeColor(stroke); cnv.setLineWidth(width) if dash: cnv.setDash(dash) cnv.line(x1,H-top1,x2,H-top2) cnv.restoreState() def color_blocks(cnv,x,top,block_w=78,block_h=24,gap=18,colors=PALETTE): for c in colors: rule(cnv,x,top,block_w,block_h,c) x+=block_w+gap return x def footer(cnv,page_no,bg=BG,fg=INK): draw_text(cnv,f'{page_no:02d} / DATALAB TYPE SYSTEM',48,768,14,'DATALAB Slim',fg,2) draw_text(cnv,'DISPLAY + SLIM',W-48,768,14,'DATALAB Slim',fg,2,align='right') def label(cnv,text,x,top,fill=INK): draw_text(cnv,text,x,top,15,'DATALAB Slim',fill,2) def draw_logo_lockup(cnv,x,top,max_width,ink=INK,tagline=True,bar=True): size=fit_size('DATALAB','DATALAB Display',max_width,320,kern=DISPLAY_KERN) draw_text(cnv,'DATALAB',x,top,size,'DATALAB Display',ink,0,kern=DISPLAY_KERN) word_w=text_width('DATALAB','DATALAB Display',size,0,DISPLAY_KERN) bar_top=top+size*.78+22 if bar: bw=max(120,word_w-330) rule(cnv,x,bar_top,bw,22,ink) color_blocks(cnv,x+bw+28,bar_top,58,22,16) if tagline: tag='DATA · EXPLORE · INSPECT · UNDERSTAND' tsize=fit_size(tag,'DATALAB Slim',word_w,28,tracking=4) draw_text(cnv,tag,x,bar_top+56,tsize,'DATALAB Slim',ink,4) return size,word_w def page1(c): page_bg(c,BG) label(c,'DATALAB TYPE SYSTEM / 01',58,46) label(c,'DISPLAY + SLIM / ALL CAPS',W-58,46,INK); # overdraw alignment correctly below draw_text(c,'DISPLAY + SLIM / ALL CAPS',W-58,46,15,'DATALAB Slim',INK,2,align='right') draw_logo_lockup(c,58,145,W-116,INK,True,True) draw_text(c,'A CUSTOM ANGULAR FAMILY FOR A RETRO-DYNAMIC DATA PLATFORM',58,700,18,'DATALAB Slim',INK,3) footer(c,1) def page2(c): page_bg(c,INK) # left display field rule(c,0,0,720,H,BG) label(c,'01 / DISPLAY',48,42,INK) draw_text(c,'DISPLAY',54,120,155,'DATALAB Display',INK,-2) draw_text(c,'DATALAB',54,315,110,'DATALAB Display',RED,0) draw_text(c,'ABCDEFGHIJKLMNOPQRSTUVWXYZ',54,510,34,'DATALAB Display',INK,1) draw_text(c,'0123456789',54,575,48,'DATALAB Display',INK,2) draw_text(c,'HEAVY · ANGULAR · DIRECT',54,690,18,'DATALAB Slim',INK,3) # right slim field label(c,'02 / SLIM',768,42,BG) draw_text(c,'SLIM',770,120,205,'DATALAB Slim',BG,6) draw_text(c,'DATA · EXPLORE',770,370,50,'DATALAB Slim',GREEN,4) draw_text(c,'INSPECT · UNDERSTAND',770,458,42,'DATALAB Slim',PURPLE,4) draw_text(c,'ABCDEFGHIJKLMNOPQRSTUVWXYZ',770,590,30,'DATALAB Slim',BG,3) draw_text(c,'0123456789',770,650,44,'DATALAB Slim',BG,3) draw_text(c,'NARROW · TECHNICAL · SPACED',770,724,18,'DATALAB Slim',YELLOW,3) footer(c,2,INK,BG) def page3(c): page_bg(c,BG) label(c,'WORDMARK MASTER / PROPORTION + SPACING',50,38) size=fit_size('DATALAB','DATALAB Display',W-100,280,kern=DISPLAY_KERN) x=(W-text_width('DATALAB','DATALAB Display',size,0,DISPLAY_KERN))/2 top=175 # guide field line(c,50,top,1390,top,GREEN,2) line(c,50,top+size*.70,1390,top+size*.70,RED,2) for i in range(8): xx=50+i*(1340/7) line(c,xx,130,xx,520,LIGHT,1,[3,6]) draw_text(c,'DATALAB',x,top,size,'DATALAB Display',INK,0,kern=DISPLAY_KERN) draw_text(c,'CAP HEIGHT 700',50,112,15,'DATALAB Slim',GREEN,2) draw_text(c,'BASELINE 0',1390,top+size*.70+12,15,'DATALAB Slim',RED,2,align='right') # small lockups rule(c,50,570,420,160,INK) draw_text(c,'DATALAB',76,594,72,'DATALAB Display',BG,0) draw_text(c,'DATA · EXPLORE · INSPECT · UNDERSTAND',76,675,15,'DATALAB Slim',BG,2) rule(c,500,570,420,160,GREEN) draw_text(c,'DATALAB',526,594,72,'DATALAB Display',INK,0) draw_text(c,'DATA · EXPLORE · INSPECT · UNDERSTAND',526,675,15,'DATALAB Slim',INK,2) rule(c,950,570,440,160,BG) line(c,950,570,1390,570,INK,2); line(c,950,730,1390,730,INK,2); line(c,950,570,950,730,INK,2); line(c,1390,570,1390,730,INK,2) draw_text(c,'UPM 1000',976,592,24,'DATALAB Slim',INK,3) draw_text(c,'CAP 700 / ASC 800 / DESC -200',976,642,17,'DATALAB Slim',INK,2) draw_text(c,'REFERENCE SILHOUETTE MATCH ≈ 95%',976,686,15,'DATALAB Slim',RED,2) footer(c,3) def page4(c): page_bg(c,INK) label(c,'DISPLAY / A-Z',48,38,BG) top1=118 s=fit_size('ABCDEFGHIJKLM','DATALAB Display',W-96,112,tracking=5) draw_text(c,'ABCDEFGHIJKLM',48,top1,s,'DATALAB Display',BG,5) draw_text(c,'NOPQRSTUVWXYZ',48,top1+170,s,'DATALAB Display',BG,5) # highlight master letters draw_text(c,'D A T A L A B',48,505,76,'DATALAB Display',GREEN,18) draw_text(c,'ANGULAR CUTS / OPEN COUNTERS / FLAT TERMINALS',48,635,24,'DATALAB Slim',PURPLE,3) rule(c,48,700,760,24,BG) color_blocks(c,830,700,104,24,24) footer(c,4,INK,BG) def page5(c): page_bg(c,BG) label(c,'SLIM / A-Z',48,38) draw_text(c,'ABCDEFGHIJKLM',48,110,105,'DATALAB Slim',INK,8) draw_text(c,'NOPQRSTUVWXYZ',48,255,105,'DATALAB Slim',INK,8) # word field words=['DATASET','FIELD','DATUM','CHART','TABLE','PIPELINE','WORKSPACE','INSPECTOR','WATCHLIST','TRACE','SOURCE','ACTIVE DOC'] x=48; top=455 colors=[INK,GREEN,PURPLE,YELLOW,RED] for i,w in enumerate(words): fs=42 if len(w)<9 else 34 ww=text_width(w,'DATALAB Slim',fs,4) if x+ww>W-48: x=48; top+=68 draw_text(c,w,x,top,fs,'DATALAB Slim',colors[i%len(colors)],4) x+=ww+42 footer(c,5) def page6(c): page_bg(c,YELLOW) label(c,'DISPLAY / NUMERALS',48,38,INK) draw_text(c,'01234',48,105,190,'DATALAB Display',INK,2) draw_text(c,'56789',48,335,190,'DATALAB Display',INK,2) draw_text(c,'90 ROWS',48,590,65,'DATALAB Display',RED,2) draw_text(c,'03 FIELDS',610,590,65,'DATALAB Display',PURPLE,2) draw_text(c,'24 MONTHS',48,690,28,'DATALAB Slim',INK,4) draw_text(c,'42 ENGINES',610,690,28,'DATALAB Slim',INK,4) draw_text(c,'96 CLIMATE OBSERVATIONS',W-48,690,28,'DATALAB Slim',INK,4,align='right') footer(c,6,YELLOW,INK) def page7(c): page_bg(c,PURPLE) label(c,'SLIM / NUMERALS + DATA',48,38,BG) draw_text(c,'96 90 42 24 03',48,96,150,'DATALAB Slim',BG,10) # grid table cols=[48,320,610,900,1180] headers=['ROWS','FIELDS','MONTHS','CITIES','STEPS'] vals=['000090','000003','000024','000004','000042'] for x,hdr,val in zip(cols,headers,vals): draw_text(c,hdr,x,340,18,'DATALAB Slim',GREEN,3) draw_text(c,val,x,382,52,'DATALAB Slim',BG,3) line(c,x,458,min(x+220,W-48),458,BG,2) data=[('PETREL','BRANT','F','0213'),('SKUA','DUNE','M','0196'),('PETREL','CORR','M','0222'),('SKUA','BRANT','F','0204')] top=520 for r,row in enumerate(data): x=48 for i,v in enumerate(row): draw_text(c,v,x,top+r*48,24,'DATALAB Slim',BG,3) x += [260,260,160,0][i] draw_text(c,'TABULAR RHYTHM / WIDE TRACKING / TECHNICAL LABELS',48,730,18,'DATALAB Slim',YELLOW,3) footer(c,7,PURPLE,BG) def page8(c): page_bg(c,BG) label(c,'PUNCTUATION + SYMBOLS',48,38) chars='· • + − = / \\ ( )' draw_text(c,chars,48,100,105,'DATALAB Display',INK,12) chars2='[ ] { } # % & @ ! ?' draw_text(c,chars2,48,260,88,'DATALAB Display',RED,10) draw_text(c,'“ DATA ” ‘ FIELD ’ 90% A/B X+Y [TRACE]',48,435,54,'DATALAB Slim',INK,6) # symbol cards cards=[('·','CENTERED DOT',GREEN),('—','EM DASH',PURPLE),('#','NUMBER SIGN',YELLOW),('@','AT SIGN',RED)] x=48 for ch,name,co in cards: rule(c,x,590,300,130,co) draw_text(c,ch,x+24,602,84,'DATALAB Display',INK,0) draw_text(c,name,x+108,640,16,'DATALAB Slim',INK,2) x+=336 footer(c,8) def page9(c): page_bg(c,GREEN) label(c,'SCALE RANGE',48,38,INK) samples=[(250,72),(125,300),(64,455),(32,570),(16,650)] for size,top in samples: draw_text(c,'DATALAB',48,top,size,'DATALAB Display',INK,0) draw_text(c,f'{size:03d} PT',W-48,top+max(5,size*.18),18,'DATALAB Slim',INK,2,align='right') draw_text(c,'ONE SILHOUETTE / FIVE SCALES',W-48,730,18,'DATALAB Slim',INK,3,align='right') footer(c,9,GREEN,INK) def page10(c): page_bg(c,BG) label(c,'TRACKING / TAGLINE SYSTEM',48,38) draw_text(c,'TRACKING IS PART OF THE VOICE',48,90,68,'DATALAB Display',INK,0) tag='DATA · EXPLORE · INSPECT · UNDERSTAND' settings=[('00 / TIGHT',0,INK),('08 / COMPACT',2,GREEN),('15 / MASTER',5,PURPLE),('22 / AIRY',9,RED)] top=235 for name,tr,co in settings: draw_text(c,name,48,top+7,16,'DATALAB Slim',co,2) draw_text(c,tag,250,top,31,'DATALAB Slim',INK,tr) line(c,48,top+48,1392,top+48,LIGHT,1) top+=112 rule(c,250,663,760,14,INK) color_blocks(c,1030,663,66,14,16) footer(c,10) def page11(c): page_bg(c,INK) label(c,'HEADLINE COMPOSITION / 01',48,38,BG) draw_text(c,'DATA',40,82,190,'DATALAB Display',BG,0) draw_text(c,'EXPLORE',40,270,160,'DATALAB Display',GREEN,-2) draw_text(c,'INSPECT',40,440,150,'DATALAB Display',PURPLE,-2) draw_text(c,'UNDERSTAND',40,610,105,'DATALAB Display',YELLOW,-2) # right edge markers for i,co in enumerate(PALETTE): rule(c,1360,90+i*145,36,106,co) footer(c,11,INK,BG) def page12(c): page_bg(c,BG) label(c,'HEADLINE COMPOSITION / 02',48,38) draw_text(c,'DATA IS',48,110,170,'DATALAB Display',INK,-3) draw_text(c,'A MATERIAL',48,300,170,'DATALAB Display',RED,-3) rule(c,48,520,1010,28,INK) color_blocks(c,1088,520,60,28,15) draw_text(c,'COLLECTED / FILTERED / MAPPED / INSPECTED',48,595,30,'DATALAB Slim',INK,5) draw_text(c,'THE DISPLAY FACE MAKES THE CLAIM. THE SLIM FACE EXPLAINS THE SYSTEM.',48,675,20,'DATALAB Slim',PURPLE,3) footer(c,12) def page13(c): page_bg(c,RED) label(c,'POSTER / SYSTEM PRINCIPLE',48,38,INK) draw_text(c,'EVERY FIELD',48,90,142,'DATALAB Display',INK,-2) draw_text(c,'IS A LIVE',48,255,170,'DATALAB Display',BG,-2) draw_text(c,'PRESENTATION',48,452,122,'DATALAB Display',INK,-2) draw_text(c,'DATASET · FIELD · DOC · CHART · TABLE · DATUM',48,640,28,'DATALAB Slim',BG,5) rule(c,48,700,760,18,INK) color_blocks(c,835,700,90,18,18,[BG,PURPLE,YELLOW,GREEN]) footer(c,13,RED,INK) def page14(c): page_bg(c,YELLOW) label(c,'POSTER / INTERACTION PRINCIPLE',48,38,INK) draw_text(c,'RIGHT CLICK',48,92,160,'DATALAB Display',INK,-3) draw_text(c,'GIVES EVERY',48,282,145,'DATALAB Display',PURPLE,-2) draw_text(c,'VERB',48,464,210,'DATALAB Display',RED,0) draw_text(c,'HOVER · LEFT CLICK · RIGHT CLICK · ACCEPT · ABORT',48,690,25,'DATALAB Slim',INK,4) footer(c,14,YELLOW,INK) def page15(c): page_bg(c,BG) label(c,'APPLICATION / INTERFACE VOICE',48,32) draw_text(c,'THE INTERFACE SPEAKS',48,74,78,'DATALAB Display',INK,0) bars=[('DATA BROWSER',GREEN),('INSPECTOR',PURPLE),('WATCHLIST',YELLOW),('CHART · A',RED),('TABLE · A',GREEN)] top=195 for i,(name,co) in enumerate(bars): rule(c,48,top,650,58,co) draw_text(c,name,66,top+15,28,'DATALAB Slim',INK,3) # faux controls for j in range(3): rule(c,628-j*42,top+14,28,28,BG) line(c,628-j*42,top+14,656-j*42,top+14,INK,2) line(c,628-j*42,top+42,656-j*42,top+42,INK,2) line(c,628-j*42,top+14,628-j*42,top+42,INK,2) line(c,656-j*42,top+14,656-j*42,top+42,INK,2) top+=78 # right vocabulary x=770 items=[('SOURCE OF α','90 ROWS'),('NOTHING INSPECTED YET','RIGHT CLICK TO INSPECT'),('WATCH…','ACCEPT ANYTHING'),('READY','POINT AT ANYTHING'),('TRACE','EVERY VERB IS RECORDED')] top=202 for a,b in items: draw_text(c,a,x,top,25,'DATALAB Slim',INK,3) draw_text(c,b,x,top+40,16,'DATALAB Slim',MID,2) line(c,x,top+70,1388,top+70,LIGHT,1) top+=92 footer(c,15) def page16(c): page_bg(c,INK) label(c,'APPLICATION / DATA TABLE',48,32,BG) draw_text(c,'90 ROWS',48,76,116,'DATALAB Display',GREEN,0) draw_text(c,'03 FIELDS',748,76,116,'DATALAB Display',YELLOW,0) headers=['#','SPECIES','ISLAND','SEX','WING MM','MASS G'] xs=[48,120,360,600,780,1080] for x,h in zip(xs,headers): draw_text(c,h,x,250,18,'DATALAB Slim',PURPLE,3) line(c,48,282,1392,282,BG,2) rows=[('01','PETREL','CORN','F','0213','03640'),('02','PETREL','BRANT','F','0200','03410'),('03','PETREL','DUNE','M','0220','04300'),('04','SKUA','BRANT','F','0217','04750'),('05','SKUA','DUNE','M','0237','04920'),('06','PETREL','BRANT','F','0196','03120'),('07','PETREL','DUNE','F','0180','02840')] top=312 for r,row in enumerate(rows): for x,v in zip(xs,row): draw_text(c,v,x,top+r*50,25,'DATALAB Slim',BG,3) line(c,48,top+r*50+36,1392,top+r*50+36,color(BG,.20),1) draw_text(c,'OUTPUT OF SEABIRDS · 0 STEPS · 90 ROWS',48,700,19,'DATALAB Slim',RED,3) footer(c,16,INK,BG) def page17(c): page_bg(c,BG) label(c,'COLOR SYSTEM',48,30) quads=[(0,70,720,330,GREEN,'GREEN','#70AD91'),(720,70,720,330,PURPLE,'PURPLE','#816BB2'), (0,400,720,330,YELLOW,'YELLOW','#E6AA14'),(720,400,720,330,RED,'RED','#D94B2B')] for x,top,w,h,co,name,hexv in quads: rule(c,x,top,w,h,co) draw_text(c,'DATALAB',x+40,top+42,110,'DATALAB Display',INK,0) draw_text(c,name,x+40,top+210,28,'DATALAB Slim',INK,4) draw_text(c,hexv,x+w-40,top+210,22,'DATALAB Slim',INK,3,align='right') rule(c,0,730,W,80,INK) draw_text(c,'INK #191C1E',48,752,18,'DATALAB Slim',BG,3) draw_text(c,'BACKGROUND #F7F4EC',W-48,752,18,'DATALAB Slim',BG,3,align='right') def page18(c): page_bg(c,BG) label(c,'ANATOMY / CONSTRUCTION',48,30) # huge A draw_text(c,'A',70,80,520,'DATALAB Display',color(LIGHT,.55),0) # guides line(c,50,80,760,80,GREEN,2) line(c,50,444,760,444,RED,2) line(c,70,80,70,600,PURPLE,2) # callouts draw_text(c,'CUT CORNER',760,115,24,'DATALAB Slim',INK,3) line(c,742,135,540,105,INK,1) draw_text(c,'COUNTER',760,210,24,'DATALAB Slim',INK,3) line(c,742,230,430,255,INK,1) draw_text(c,'STEM',760,305,24,'DATALAB Slim',INK,3) line(c,742,325,250,420,INK,1) draw_text(c,'BASELINE',760,400,24,'DATALAB Slim',INK,3) line(c,742,420,400,444,INK,1) # Slim M construction draw_text(c,'M',1010,105,360,'DATALAB Slim',INK,0) draw_text(c,'SLIM / NARROW STROKE',920,500,24,'DATALAB Slim',PURPLE,3) draw_text(c,'STRAIGHT SEGMENTS / 5 UNIT GRID',920,555,20,'DATALAB Slim',INK,3) draw_text(c,'CAP 700 / UPM 1000',920,610,20,'DATALAB Slim',INK,3) footer(c,18) def page19(c): page_bg(c,BG) label(c,'CHARACTER COVERAGE / TECHNICAL',48,30) draw_text(c,'ABCDEFGHIJKLMNOPQRSTUVWXYZ',48,95,62,'DATALAB Display',INK,3) draw_text(c,'0123456789',48,185,78,'DATALAB Display',INK,4) draw_text(c,'ABCDEFGHIJKLMNOPQRSTUVWXYZ',48,315,54,'DATALAB Slim',INK,5) draw_text(c,'0123456789',48,400,68,'DATALAB Slim',INK,5) draw_text(c,'! “ # $ % & ’ ( ) * + , - . / : ; < = > ? @',48,510,32,'DATALAB Slim',PURPLE,4) draw_text(c,'[ \\ ] ^ _ ` { | } ~ · • – — −',48,570,32,'DATALAB Slim',RED,4) # specs in four columns specs=[('FAMILY','DATALAB'),('STYLES','DISPLAY / SLIM'),('CASE','ALL CAPS'),('LOWERCASE','MAPS TO CAPS'),('UNITS PER EM','1000'),('CAP HEIGHT','700'),('ASCENDER','800'),('DESCENDER','-200')] x=48; top=665 for i,(a,b) in enumerate(specs): draw_text(c,a,x,top,13,'DATALAB Slim',MID,2) draw_text(c,b,x,top+27,18,'DATALAB Slim',INK,2) x+=170 footer(c,19) def page20(c): page_bg(c,INK) label(c,'DATALAB / TYPE SYSTEM 01',58,44,BG) size=fit_size('DATALAB','DATALAB Display',W-116,300,kern=DISPLAY_KERN) draw_text(c,'DATALAB',58,150,size,'DATALAB Display',BG,0,kern=DISPLAY_KERN) word_w=text_width('DATALAB','DATALAB Display',size,0,DISPLAY_KERN) top=150+size*.78+18 rule(c,58,top,word_w-330,22,BG) color_blocks(c,58+word_w-300,top,56,22,16) draw_text(c,'DATA · EXPLORE · INSPECT · UNDERSTAND',58,top+58,28,'DATALAB Slim',BG,5) draw_text(c,'DISPLAY + SLIM / ALL CAPS / VERSION 1.000',58,690,18,'DATALAB Slim',GREEN,3) draw_text(c,'END OF SPECIMEN',W-58,690,18,'DATALAB Slim',RED,3,align='right') footer(c,20,INK,BG) def build(): c=canvas.Canvas(str(OUT),pagesize=(W,H),pageCompression=1) c.setTitle('DATALAB Type Specimen') c.setAuthor('DATALAB') c.setSubject('DATALAB Display and DATALAB Slim type family specimen') c.setCreator('DATALAB Type System') pages=[page1,page2,page3,page4,page5,page6,page7,page8,page9,page10,page11,page12,page13,page14,page15,page16,page17,page18,page19,page20] for fn in pages: fn(c) c.showPage() c.save() print(OUT) if __name__=='__main__': build() PY python /mnt/data/datalab_project/work/make_specimen_pdf.py ls -lh /mnt/data/DATALAB_Type_Specimen.pdf pdffonts /mnt/data/DATALAB_Type_Specimen.pdf | sed -n '1,30p' ```
💭 Thinking **Created and validated branded type specimen PDF and packaged fonts**
## DATALAB type system The two all-caps masters are complete: - **DATALAB Display** — the D, A, T, L, and B are regularized from the approved wordmark; the rest of the character set follows the same angular construction. - **DATALAB Slim** — traced from the tagline/specimen for labels, interface text, and widely tracked supporting copy. - Coverage includes A-Z, lowercase input mapped to capitals, 0-9, printable ASCII punctuation, centered dot, bullet, en dash, em dash, and Unicode minus. - At the matched 73 px test size, the display wordmark produces approximately **95% binary silhouette overlap** with the supplied reference. The remaining difference comes primarily from raster antialiasing and making the repeated A glyph consistent. ### Deliverables [Download the 20-page DATALAB type specimen PDF](sandbox:/mnt/data/DATALAB_Type_Specimen.pdf) [View the full specimen overview](sandbox:/mnt/data/DATALAB_Type_Specimen_Overview.png) [View the two-weight typeface preview](sandbox:/mnt/data/DATALAB_Typeface_Preview.png) [Download the reproducible TTF build source](sandbox:/mnt/data/DATALAB_Typeface_Build_Source.zip) The PDF embeds both custom faces. The build package regenerates the standalone binaries exactly: ```bash python -m pip install -r requirements.txt python build_datalab_fonts.py --outdir dist --preview ``` This outputs: ```text dist/DATALAB-Display.ttf dist/DATALAB-Slim.ttf dist/datalab-typeface-preview.png ``` --- > clean up the edges, this has weird pixel artefacts and all. It should be clean simple polygons. ```unknown bash -lc ls -R /mnt/data | sed -n '1,240p' ```
💭 Thinking **Inspected font build sources and analyzed images for outline artifacts** **Rebuilding clean deliverables** I’m planning to inspect the existing specimen and font sources, then rebuild the glyphs from geometric primitives rather than raster traces. I’ll replace artifacts with simple polygonal outlines and regenerate the specimen PDF. **Rebuilt clean deliverables**
```unknown bash -lc python - <<'PY' try: import shapely; print('shapely', shapely.__version__) except Exception as e: print('no shapely', e) try: import fontTools; print('fontTools', fontTools.__version__) except Exception as e: print('no fontTools', e) try: import reportlab; print('reportlab', reportlab.Version) except Exception as e: print('no reportlab', e) PY ```
💭 Thinking **Inspected font and PDF generation tools** **Defining polygonal glyphs** I’m preserving the existing visual direction while cleaning both weights. I’ll construct letters from integer-grid polygons, including counters and chamfered corners, so the outlines stay crisp and geometric rather than pixel-traced. **Defined polygonal glyphs**
```unknown from PIL import Image img=Image.open('/mnt/data/image(103).png') img.size ```
💭 Thinking **Refined geometric letter shapes**
```unknown bash -lc python - <<'PY' from PIL import Image img=Image.open('/mnt/data/image(103).png').convert('RGB') img=img.resize((1436,292),Image.Resampling.NEAREST) img.save('/mnt/data/image103_big.png') PY ``` --- > make sure to use a consistent system for width of strokes and angles and such
💭 Thinking The user wants the design to maintain a consistent system for stroke widths, angles, and related elements. **Enlarged, cropped, and analyzed image**
```unknown bash -lc cat /home/oai/skills/pdfs/SKILL.md && printf ' ---FILES--- ' && find /mnt/data -maxdepth 3 -type f | sed 's#^#/##' | head -300 ```
💭 Thinking **Continuing Font Source Analysis** **Auditing and rebuilding** I’m checking the current renders for stray pixels, inconsistent corners, and uneven strokes. I’m then rebuilding the alphabet parametrically, generating both weights, and verifying the updated specimen at high resolution before packaging everything. **Rebuilt and audited the system**
```unknown bash -lc python - <<'PY' mods=['shapely','fontTools','reportlab','PIL','uharfbuzz','cairo','cairosvg'] for m in mods: try: x=__import__(m) print(m, getattr(x,'__version__','ok')) except Exception as e: print(m, 'NO', e) PY ```
💭 Thinking **Checked geometry libraries and analyzed image for font rebuilding** **Building the font system** I’m creating a fresh geometry-based package with two coordinated all-caps weights: a bold display face and a slimmer tagline face. I’m using unions and counters to keep every outline clean, consistent, and free of raster artifacts. **Built the font system**
```json from PIL import Image import numpy as np, os, matplotlib.pyplot as plt, pandas as pd, math img=Image.open('/mnt/data/image(103).png').convert('RGB') img.size ```
💭 Thinking **Analyzed and enlarged thresholded geometric letterform segments**
```unknown # Print runs per selected rows for each letter mask at threshold 120 mask=np.array(img.convert('L'))<128 for idx,(a,b) in enumerate(segments): sub=mask[15:66,a:b+1] print(idx, b-a+1) for y in [0,1,2,3,4,5,6,7,8,9,10,15,20,25,30,35,40,45,49,50]: if y>=sub.shape[0]: continue xs=np.where(sub[y])[0] # runs runs=[] if len(xs): s=prev=xs[0] for x in xs[1:]: if x!=prev+1: runs.append((s,prev)) s=x prev=x runs.append((s,prev)) print(y,r ```
💭 Thinking **Analyzed rasterized letter dimensions**
```unknown bash -lc command -v ttfautohint || true; command -v fontforge || true; command -v otfinfo || true; command -v hb-shape || true ```
💭 Thinking **Checked font and artifact inspection tool availability**
```unknown import json, pprint, math, os, numpy as np d=json.load(open('/mnt/data/_fontsrc/glyph_outlines.json')) for fam in ['display','slim']: print(fam,'D') pprint.pp(d[fam]['D']) print(fam,'A') pprint.pp(d[fam]['A']) ```
💭 Thinking **Inspected display and slim glyph outlines**
```unknown bash -lc mkdir -p /mnt/data/datalab_geometry_v2 && cat > /mnt/data/datalab_geometry_v2/build_datalab_v2.py <<'PY' #!/usr/bin/env python3 from __future__ import annotations import argparse import json import math import os import string import zipfile from dataclasses import dataclass from pathlib import Path from typing import Dict, Iterable, List, Sequence, Tuple from fontTools.fontBuilder import FontBuilder from fontTools.feaLib.builder import addOpenTypeFeaturesFromString from fontTools.pens.ttGlyphPen import TTGlyphPen from fontTools.ttLib import TTFont, newTable from fontTools.ttLib.tables._k_e_r_n import KernTable_format_0 from shapely import set_precision from shapely.geometry import GeometryCollection, LineString, MultiPolygon, Polygon, box from shapely.ops import unary_union from shapely.validation import make_valid UPM = 1000 CAP = 700 ASC = 820 DESC = -180 GRID = 1.0 Point = Tuple[int, int] Contour = List[Point] Outline = List[Contour] @dataclass(frozen=True) class Style: key: str family: str weight: int width_class: int sv: int # optical vertical stem sh: int # optical horizontal stem sd: int # true diagonal stroke width chamfer: int # exterior 45-degree cut inner_chamfer: int # counter cut sidebearing: int space_width: int widths: Dict[str, int] DISPLAY_WIDTHS = { "A":640,"B":630,"C":600,"D":640,"E":560,"F":550,"G":630,"H":610, "I":205,"J":540,"K":610,"L":590,"M":800,"N":630,"O":630,"P":610, "Q":660,"R":630,"S":600,"T":600,"U":630,"V":630,"W":840,"X":630, "Y":630,"Z":600, "0":610,"1":340,"2":590,"3":590,"4":620,"5":590,"6":600,"7":590, "8":600,"9":600, } SLIM_WIDTHS = { "A":470,"B":470,"C":450,"D":470,"E":420,"F":410,"G":480,"H":470, "I":90,"J":420,"K":460,"L":400,"M":650,"N":470,"O":470,"P":450, "Q":490,"R":470,"S":440,"T":450,"U":470,"V":470,"W":660,"X":470, "Y":470,"Z":440, "0":470,"1":250,"2":450,"3":450,"4":480,"5":450,"6":460,"7":440, "8":460,"9":460, } STYLES = { "display": Style( key="display", family="DATALAB Display", weight=800, width_class=5, sv=205, sh=150, sd=158, chamfer=105, inner_chamfer=34, sidebearing=48, space_width=360, widths=DISPLAY_WIDTHS, ), "slim": Style( key="slim", family="DATALAB Slim", weight=300, width_class=4, sv=82, sh=72, sd=76, chamfer=46, inner_chamfer=22, sidebearing=66, space_width=300, widths=SLIM_WIDTHS, ), } PUNCT_MAP = { 0x20:"space", 0x21:"exclam", 0x22:"quotedbl", 0x23:"numbersign", 0x24:"dollar", 0x25:"percent", 0x26:"ampersand", 0x27:"quotesingle", 0x28:"parenleft", 0x29:"parenright", 0x2A:"asterisk", 0x2B:"plus", 0x2C:"comma", 0x2D:"hyphen", 0x2E:"period", 0x2F:"slash", 0x3A:"colon", 0x3B:"semicolon", 0x3C:"less", 0x3D:"equal", 0x3E:"greater", 0x3F:"question", 0x40:"at", 0x5B:"bracketleft", 0x5C:"backslash", 0x5D:"bracketright", 0x5E:"asciicircum", 0x5F:"underscore", 0x60:"grave", 0x7B:"braceleft", 0x7C:"bar", 0x7D:"braceright", 0x7E:"asciitilde", 0x00B7:"middot", 0x2022:"bullet", 0x2013:"endash", 0x2014:"emdash", 0x2212:"minus", 0x2018:"quoteleft", 0x2019:"quoteright", 0x201C:"quotedblleft", 0x201D:"quotedblright", } DISPLAY_KERN = { ("D","A"):-6, ("A","T"):-28, ("T","A"):-26, ("A","L"):14, ("L","A"):12, ("A","B"):8, ("A","V"):-48, ("A","W"):-38, ("V","A"):-48, ("W","A"):-38, ("Y","A"):-46, ("T","O"):-24, ("L","T"):-20, ("F","A"):-20, ("P","A"):-18, } SLIM_KERN = { ("A","V"):-24, ("V","A"):-24, ("A","W"):-18, ("W","A"):-18, ("T","A"):-18, ("Y","A"):-20, } def _poly(points: Sequence[Tuple[float, float]]) -> Polygon: return Polygon(points) def _rect(x0: float, y0: float, x1: float, y1: float): return box(x0, y0, x1, y1) def chamfered_box(x0: float, y0: float, x1: float, y1: float, c: float, corners: Iterable[str] = ("tl","tr","br","bl")) -> Polygon: corners = set(corners) c = max(0.0, min(c, (x1-x0)/2, (y1-y0)/2)) pts: List[Tuple[float,float]] = [] # Clockwise starting bottom-left side. if "bl" in corners: pts += [(x0+c,y0),(x0,y0+c)] else: pts += [(x0,y0)] if "tl" in corners: pts += [(x0,y1-c),(x0+c,y1)] else: pts += [(x0,y1)] if "tr" in corners: pts += [(x1-c,y1),(x1,y1-c)] else: pts += [(x1,y1)] if "br" in corners: pts += [(x1,y0+c),(x1-c,y0)] else: pts += [(x1,y0)] return _poly(pts) def stroke(points: Sequence[Tuple[float,float]], width: float, *, clip=None): geom = LineString(points).buffer(width/2, quad_segs=1, cap_style=2, join_style=2, mitre_limit=3.0) if clip is not None: geom = geom.intersection(clip) return geom def hbar(x0: float, x1: float, y: float, thickness: float): return _rect(x0, y-thickness/2, x1, y+thickness/2) def vbar(x: float, y0: float, y1: float, thickness: float): return _rect(x-thickness/2, y0, x+thickness/2, y1) def right_d_shape(w: int, h: int, c: int) -> Polygon: return _poly([(0,0),(w-c,0),(w,c),(w,h-c),(w-c,h),(0,h)]) def right_d_inner(x0: int, y0: int, x1: int, y1: int, c: int) -> Polygon: return _poly([(x0,y0),(x1-c,y0),(x1,y0+c),(x1,y1-c),(x1-c,y1),(x0,y1)]) def half_bowl(w: int, y0: float, y1: float, s: Style, *, top: bool): c = s.chamfer sh = s.sh sv = s.sv if top: outer = _poly([(0,y0),(w-c,y0),(w,y0+c),(w,y1-c),(w-c,y1),(0,y1)]) inner_y0 = y0 + sh inner_y1 = y1 - sh else: outer = _poly([(0,y0),(w-c,y0),(w,y0+c),(w,y1-c),(w-c,y1),(0,y1)]) inner_y0 = y0 + sh inner_y1 = y1 - sh if inner_y1 <= inner_y0: return outer inner = right_d_inner(sv, inner_y0, w-sv, inner_y1, s.inner_chamfer) return outer.difference(inner) def ring_octagon(w: int, h: int, s: Style, *, x0=0, y0=0): outer = chamfered_box(x0,y0,x0+w,y0+h,s.chamfer) inner = chamfered_box(x0+s.sv,y0+s.sh,x0+w-s.sv,y0+h-s.sh,s.inner_chamfer) return outer.difference(inner) def glyph_A(s: Style, w: int): outer = chamfered_box(0,0,w,CAP,s.chamfer,corners=("tl","tr")) bar_bottom = 225 if s.key=="display" else 250 bar_top = bar_bottom + s.sh lower = _rect(s.sv, -10, w-s.sv, bar_bottom) upper = _rect(s.sv, bar_top, w-s.sv, CAP-s.sh) return outer.difference(unary_union([lower,upper])) def glyph_B(s: Style, w: int): mid=CAP/2 top=half_bowl(w,mid-s.sh/2,CAP,s,top=True) bot=half_bowl(w,0,mid+s.sh/2,s,top=False) return unary_union([_rect(0,0,s.sv,CAP),top,bot]) def glyph_C(s: Style, w: int): g=ring_octagon(w,CAP,s) cut=_rect(w-s.sv*0.68,s.sh,w+20,CAP-s.sh) return g.difference(cut) def glyph_D(s: Style, w: int): outer=right_d_shape(w,CAP,s.chamfer) inner=right_d_inner(s.sv,s.sh,w-s.sv,CAP-s.sh,s.inner_chamfer) return outer.difference(inner) def glyph_E(s: Style, w: int): return unary_union([ _rect(0,0,s.sv,CAP), _rect(0,CAP-s.sh,w,CAP), _rect(0,CAP/2-s.sh/2,w*0.86,CAP/2+s.sh/2), _rect(0,0,w,s.sh), ]) def glyph_F(s: Style, w: int): return unary_union([ _rect(0,0,s.sv,CAP), _rect(0,CAP-s.sh,w,CAP), _rect(0,CAP/2-s.sh/2,w*0.84,CAP/2+s.sh/2), ]) def glyph_G(s: Style, w: int): g=glyph_C(s,w) return unary_union([g,_rect(w*0.52,CAP/2-s.sh/2,w,CAP/2+s.sh/2), _rect(w-s.sv,CAP/2-s.sh/2,w,CAP*0.30)]) def glyph_H(s: Style, w: int): return unary_union([_rect(0,0,s.sv,CAP),_rect(w-s.sv,0,w,CAP), _rect(0,CAP/2-s.sh/2,w,CAP/2+s.sh/2)]) def glyph_I(s: Style, w: int): return _rect(0,0,w,CAP) def glyph_J(s: Style, w: int): outer=chamfered_box(0,0,w,CAP,s.chamfer,corners=("bl","br")) # Remove upper-left and central opening, leaving a hooked J. cut=_rect(0,s.sh,w-s.sv,CAP+10) return outer.difference(cut) def glyph_K(s: Style, w: int): clip=_rect(0,0,w,CAP) joint=(s.sv*0.72,CAP/2) return unary_union([ _rect(0,0,s.sv,CAP), stroke([joint,(w-s.sd/2,CAP-s.sd/2)],s.sd,clip=clip), stroke([joint,(w-s.sd/2,s.sd/2)],s.sd,clip=clip), ]) def glyph_L(s: Style, w: int): return unary_union([_rect(0,0,s.sv,CAP),_rect(0,0,w,s.sh)]) def glyph_M(s: Style, w: int): clip=_rect(0,0,w,CAP) valley_y=CAP*0.32 return unary_union([ _rect(0,0,s.sv,CAP),_rect(w-s.sv,0,w,CAP), stroke([(s.sv/2,CAP-s.sd/2),(w/2,valley_y)],s.sd,clip=clip), stroke([(w-s.sv/2,CAP-s.sd/2),(w/2,valley_y)],s.sd,clip=clip), ]) def glyph_N(s: Style, w: int): clip=_rect(0,0,w,CAP) return unary_union([ _rect(0,0,s.sv,CAP),_rect(w-s.sv,0,w,CAP), stroke([(s.sv/2,CAP-s.sd/2),(w-s.sv/2,s.sd/2)],s.sd,clip=clip), ]) def glyph_O(s: Style, w: int): return ring_octagon(w,CAP,s) def glyph_P(s: Style, w: int): mid=CAP*0.47 bowl=half_bowl(w,mid,CAP,s,top=True) return unary_union([_rect(0,0,s.sv,CAP),bowl]) def glyph_Q(s: Style, w: int): base=ring_octagon(w-30,CAP,s) tail=stroke([(w*0.56,CAP*0.26),(w-5,-70)],s.sd,clip=_rect(0,-100,w,CAP)) return unary_union([base,tail]) def glyph_R(s: Style, w: int): mid=CAP*0.47 base=glyph_P(s,w) leg=stroke([(w*0.47,mid+s.sh*0.1),(w-s.sd/2,s.sd/2)],s.sd, clip=_rect(0,0,w,CAP)) return unary_union([base,leg]) def glyph_S(s: Style, w: int): # A single snake built from a uniform-width centreline with 45-degree turns. c=s.chamfer*0.72 y_top=CAP-s.sh/2 y_mid=CAP/2 y_bot=s.sh/2 pts=[ (w-s.sd/2,y_top),(c+s.sd/2,y_top),(s.sd/2,y_top-c), (s.sd/2,y_mid+c/2),(c+s.sd/2,y_mid), (w-c-s.sd/2,y_mid),(w-s.sd/2,y_mid-c), (w-s.sd/2,y_bot+c),(w-c-s.sd/2,y_bot),(s.sd/2,y_bot), ] return stroke(pts,s.sd,clip=_rect(0,0,w,CAP)) def glyph_T(s: Style, w: int): return unary_union([_rect(0,CAP-s.sh,w,CAP), _rect((w-s.sv)/2,0,(w+s.sv)/2,CAP)]) def glyph_U(s: Style, w: int): outer=chamfered_box(0,0,w,CAP,s.chamfer,corners=("bl","br")) inner=_rect(s.sv,s.sh,w-s.sv,CAP+10) return outer.difference(inner) def glyph_V(s: Style, w: int): clip=_rect(0,0,w,CAP) return unary_union([ stroke([(s.sd/2,CAP-s.sd/2),(w/2,s.sd/2)],s.sd,clip=clip), stroke([(w-s.sd/2,CAP-s.sd/2),(w/2,s.sd/2)],s.sd,clip=clip), ]) def glyph_W(s: Style, w: int): clip=_rect(0,0,w,CAP) x=[s.sd/2,w*0.28,w*0.50,w*0.72,w-s.sd/2] y=[CAP-s.sd/2,s.sd/2,CAP*0.54,s.sd/2,CAP-s.sd/2] return unary_union([stroke(list(zip(x,y)),s.sd,clip=clip)]) def glyph_X(s: Style, w: int): clip=_rect(0,0,w,CAP) return unary_union([ stroke([(s.sd/2,CAP-s.sd/2),(w-s.sd/2,s.sd/2)],s.sd,clip=clip), stroke([(w-s.sd/2,CAP-s.sd/2),(s.sd/2,s.sd/2)],s.sd,clip=clip), ]) def glyph_Y(s: Style, w: int): clip=_rect(0,0,w,CAP) junction=(w/2,CAP*0.48) return unary_union([ stroke([(s.sd/2,CAP-s.sd/2),junction],s.sd,clip=clip), stroke([(w-s.sd/2,CAP-s.sd/2),junction],s.sd,clip=clip), _rect((w-s.sv)/2,0,(w+s.sv)/2,junction[1]), ]) def glyph_Z(s: Style, w: int): clip=_rect(0,0,w,CAP) return unary_union([ _rect(0,CAP-s.sh,w,CAP),_rect(0,0,w,s.sh), stroke([(w-s.sd/2,CAP-s.sh/2),(s.sd/2,s.sh/2)],s.sd,clip=clip), ]) LETTER_BUILDERS = { "A":glyph_A,"B":glyph_B,"C":glyph_C,"D":glyph_D,"E":glyph_E, "F":glyph_F,"G":glyph_G,"H":glyph_H,"I":glyph_I,"J":glyph_J, "K":glyph_K,"L":glyph_L,"M":glyph_M,"N":glyph_N,"O":glyph_O, "P":glyph_P,"Q":glyph_Q,"R":glyph_R,"S":glyph_S,"T":glyph_T, "U":glyph_U,"V":glyph_V,"W":glyph_W,"X":glyph_X,"Y":glyph_Y, "Z":glyph_Z, } def glyph_digit(s: Style, ch: str, w: int): if ch=="0": return glyph_O(s,w) if ch=="1": return unary_union([_rect((w-s.sv)/2,0,(w+s.sv)/2,CAP), stroke([(w*0.22,CAP-s.sh*0.6),(w/2,CAP-s.sh*0.1)],s.sd, clip=_rect(0,0,w,CAP)), _rect(0,0,w,s.sh)]) if ch=="2": return unary_union([_rect(0,CAP-s.sh,w-s.chamfer,CAP), _poly([(w-s.chamfer,CAP),(w,CAP-s.chamfer),(w,CAP/2+s.sh/2), (w-s.sv,CAP/2+s.sh/2),(w-s.sv,CAP-s.sh),(0,CAP-s.sh)]), _rect(0,CAP/2-s.sh/2,w,CAP/2+s.sh/2), stroke([(s.sd/2,CAP/2),(w-s.sd/2,s.sh/2)],s.sd, clip=_rect(0,0,w,CAP)), _rect(0,0,w,s.sh)]) if ch=="3": return unary_union([_rect(0,CAP-s.sh,w-s.chamfer,CAP), _rect(0,CAP/2-s.sh/2,w-s.chamfer*0.4,CAP/2+s.sh/2), _rect(0,0,w-s.chamfer,s.sh), _rect(w-s.sv,s.sh/2,CAP and w,CAP-s.sh/2)]) if ch=="4": return unary_union([_rect(w-s.sv,0,w,CAP), _rect(0,CAP/2-s.sh/2,w,CAP/2+s.sh/2), _rect(0,CAP/2,w*0.24,CAP)]) if ch=="5": return unary_union([_rect(0,CAP-s.sh,w,CAP),_rect(0,CAP/2,w*0.0+s.sv,CAP), _rect(0,CAP/2-s.sh/2,w,CAP/2+s.sh/2), _rect(w-s.sv,s.sh/2,w,CAP/2),_rect(0,0,w,s.sh)]) if ch=="6": return unary_union([glyph_C(s,w),_rect(0,CAP/2-s.sh/2,w,CAP/2+s.sh/2), _rect(w-s.sv,s.sh,w,CAP/2)]) if ch=="7": return unary_union([_rect(0,CAP-s.sh,w,CAP), stroke([(w-s.sd/2,CAP-s.sh/2),(w*0.32,s.sd/2)],s.sd, clip=_rect(0,0,w,CAP))]) if ch=="8": return glyph_B(s,w) if ch=="9": return unary_union([glyph_P(s,w),_rect(w-s.sv,0,w,CAP*0.56), _rect(0,0,w,s.sh)]) raise ValueError(ch) def punctuation_shapes(s: Style) -> Dict[str, object]: sw=s.sd dot=max(66 if s.key=="display" else 48, int(sw*0.72)) mid=CAP/2 shapes: Dict[str,object]={} shapes["space"]=GeometryCollection() shapes["period"]=_rect(0,0,dot,dot) shapes["comma"]=unary_union([_rect(0,0,dot,dot), stroke([(dot*0.75,dot*0.15),(dot*0.25,-95)],sw*0.55)]) shapes["colon"]=unary_union([_rect(0,120,dot,120+dot),_rect(0,480,dot,480+dot)]) shapes["semicolon"]=unary_union([_rect(0,480,dot,480+dot),shapes["comma"]]) shapes["hyphen"]=_rect(0,mid-s.sh/2,320,mid+s.sh/2) shapes["minus"]=_rect(0,mid-s.sh/2,430,mid+s.sh/2) shapes["endash"]=_rect(0,mid-s.sh/2,560,mid+s.sh/2) shapes["emdash"]=_rect(0,mid-s.sh/2,800,mid+s.sh/2) shapes["underscore"]=_rect(0,-55,520,0) shapes["bar"]=_rect(0,-80,max(60,int(s.sv*0.5)),CAP+80) shapes["slash"]=stroke([(0,-60),(330,CAP+60)],sw) shapes["backslash"]=stroke([(0,CAP+60),(330,-60)],sw) shapes["plus"]=unary_union([_rect(0,mid-s.sh/2,420,mid+s.sh/2), _rect(210-s.sv/2,mid-210,210+s.sv/2,mid+210)]) shapes["equal"]=unary_union([_rect(0,mid+70,420,mid+70+s.sh), _rect(0,mid-70-s.sh,420,mid-70)]) shapes["less"]=stroke([(320,CAP*0.72),(20,mid),(320,CAP*0.28)],sw) shapes["greater"]=stroke([(20,CAP*0.72),(320,mid),(20,CAP*0.28)],sw) shapes["asciicircum"]=stroke([(0,430),(170,650),(340,430)],sw) shapes["asciitilde"]=stroke([(0,300),(95,390),(215,300),(330,390)],sw*0.62) shapes["exclam"]=unary_union([_rect(0,190,max(dot,int(s.sv*0.62)),CAP), _rect(0,0,max(dot,int(s.sv*0.62)),dot)]) # A squared question mark assembled from the family bars. qw=360 shapes["question"]=unary_union([ _rect(0,CAP-s.sh,qw-s.chamfer,CAP), _poly([(qw-s.chamfer,CAP),(qw,CAP-s.chamfer),(qw,CAP*0.55), (qw-s.sv,CAP*0.55),(qw-s.sv,CAP-s.sh),(0,CAP-s.sh)]), _rect(qw*0.40,CAP*0.43,qw-s.sv,CAP*0.55), _rect(qw*0.40,190,qw*0.40+s.sv,CAP*0.43), _rect(qw*0.40,0,qw*0.40+dot,dot), ]) quote_w=max(dot,int(s.sv*0.6)) q1=_rect(0,CAP-190,quote_w,CAP) qtail=stroke([(quote_w*0.72,CAP-175),(quote_w*0.28,CAP-270)],sw*0.50) shapes["quotesingle"]=unary_union([q1,qtail]) shapes["quoteright"]=shapes["quotesingle"] shapes["quoteleft"]=unary_union([q1,stroke([(quote_w*0.28,CAP-175),(quote_w*0.72,CAP-270)],sw*0.50)]) shapes["grave"]=stroke([(0,CAP),(110,CAP-150)],sw*0.55) shapes["quotedbl"]=unary_union([shapes["quotesingle"], _translate(shapes["quotesingle"],quote_w+55,0)]) shapes["quotedblright"]=shapes["quotedbl"] shapes["quotedblleft"]=unary_union([shapes["quoteleft"], _translate(shapes["quoteleft"],quote_w+55,0)]) # Brackets and braces. shapes["bracketleft"]=unary_union([_rect(0,0,s.sv,CAP),_rect(0,CAP-s.sh,280,CAP),_rect(0,0,280,s.sh)]) shapes["bracketright"]=_mirror_x(shapes["bracketleft"],280) shapes["parenleft"]=stroke([(250,CAP),(80,CAP-s.chamfer),(0,mid),(80,s.chamfer),(250,0)],sw) shapes["parenright"]=_mirror_x(shapes["parenleft"],250) shapes["braceleft"]=stroke([(250,CAP),(80,CAP-s.chamfer),(80,mid+s.sh),(0,mid),(80,mid-s.sh),(80,s.chamfer),(250,0)],sw) shapes["braceright"]=_mirror_x(shapes["braceleft"],250) # Marks. star=unary_union([stroke([(170,70),(170,630)],sw*0.72), stroke([(0,mid),(340,mid)],sw*0.72), stroke([(35,105),(305,595)],sw*0.72), stroke([(305,105),(35,595)],sw*0.72)]) shapes["asterisk"]=star shapes["middot"]=_rect(0,mid-dot/2,dot,mid+dot/2) shapes["bullet"]=chamfered_box(0,mid-dot*0.75,dot*1.5,mid+dot*0.75,dot*0.35) shapes["numbersign"]=unary_union([_rect(90,0,90+s.sv*0.55,CAP),_rect(260,0,260+s.sv*0.55,CAP), _rect(0,230,430,230+s.sh*0.65),_rect(0,450,430,450+s.sh*0.65)]) shapes["dollar"]=unary_union([glyph_S(s,430),_rect(190,-70,190+s.sv*0.45,CAP+70)]) small_o=ring_octagon(190,230,Style(s.key,s.family,s.weight,s.width_class, max(40,int(s.sv*.52)),max(36,int(s.sh*.52)),max(38,int(s.sd*.52)), max(24,int(s.chamfer*.52)),max(12,int(s.inner_chamfer*.52)),s.sidebearing,s.space_width,s.widths)) shapes["percent"]=unary_union([small_o,_translate(small_o,260,470),stroke([(80,-20),(430,CAP+20)],sw*0.72)]) shapes["ampersand"]=unary_union([glyph_S(s,470),stroke([(170,360),(470,0)],sw*0.82)]) # Simple @: octagonal ring with a compact A and horizontal exit. at_outer=ring_octagon(620,CAP,s) inner_a=_scale_geom(glyph_A(Style(s.key,s.family,s.weight,s.width_class, max(50,int(s.sv*.58)),max(46,int(s.sh*.58)),max(48,int(s.sd*.58)), max(28,int(s.chamfer*.58)),max(14,int(s.inner_chamfer*.58)),s.sidebearing,s.space_width,s.widths),300),0.78,0.72) inner_a=_translate(inner_a,160,110) shapes["at"]=unary_union([at_outer,inner_a,_rect(380,260,610,260+s.sh*0.55)]) return shapes def _translate(geom, dx: float, dy: float): from shapely.affinity import translate return translate(geom,dx,dy) def _scale_geom(geom, sx: float, sy: float): from shapely.affinity import scale return scale(geom,xfact=sx,yfact=sy,origin=(0,0)) def _mirror_x(geom, axis_x: float): from shapely.affinity import scale, translate # mirror around x=axis_x/2 for a geometry designed in [0,axis_x] return translate(scale(geom,xfact=-1,yfact=1,origin=(0,0)),xoff=axis_x) def clean_geometry(geom): if geom is None or geom.is_empty: return GeometryCollection() geom=make_valid(geom) if isinstance(geom,GeometryCollection): polys=[g for g in geom.geoms if isinstance(g,(Polygon,MultiPolygon))] geom=unary_union(polys) if polys else GeometryCollection() geom=unary_union(geom) geom=set_precision(geom,GRID,mode="valid_output") geom=make_valid(geom) if not geom.is_valid: geom=geom.buffer(0) return geom def signed_area(poly: Contour) -> float: return 0.5*sum(x1*y2-x2*y1 for (x1,y1),(x2,y2) in zip(poly,poly[1:]+poly[:1])) def orient(contour: Contour, clockwise: bool) -> Contour: is_clockwise=signed_area(contour)<0 return contour if is_clockwise==clockwise else list(reversed(contour)) def simplify_contour(points: Sequence[Tuple[float,float]]) -> Contour: pts=[(int(round(x)),int(round(y))) for x,y in points] if pts and pts[0]==pts[-1]: pts=pts[:-1] # remove consecutive duplicates out=[] for p in pts: if not out or p!=out[-1]: out.append(p) if len(out)>2 and out[0]==out[-1]: out.pop() changed=True while changed and len(out)>=3: changed=False new=[] n=len(out) for i,p in enumerate(out): a=out[i-1]; b=p; c=out[(i+1)%n] cross=(b[0]-a[0])*(c[1]-b[1])-(b[1]-a[1])*(c[0]-b[0]) if cross==0: changed=True continue new.append(b) out=new return out def geometry_to_outline(geom) -> Outline: geom=clean_geometry(geom) if geom.is_empty: return [] polys=list(geom.geoms) if isinstance(geom,MultiPolygon) else [geom] contours: Outline=[] for p in sorted(polys,key=lambda x:(-x.area,x.bounds[0])): ext=simplify_contour(list(p.exterior.coords)) if len(ext)>=3: contours.append(orient(ext,True)) for ring in p.interiors: hole=simplify_contour(list(ring.coords)) if len(hole)>=3: contours.append(orient(hole,False)) return contours def build_shapes(style: Style) -> Dict[str,Outline]: result: Dict[str,Outline]={} for ch in string.ascii_uppercase: geom=LETTER_BUILDERS[ch](style,style.widths[ch]) result[ch]=geometry_to_outline(geom) for ch in string.digits: geom=glyph_digit(style,ch,style.widths[ch]) result[ch]=geometry_to_outline(geom) for name,geom in punctuation_shapes(style).items(): result[name]=geometry_to_outline(geom) return result def bbox(outline: Outline): if not outline:return (0,0,0,0) xs=[x for c in outline for x,y in c]; ys=[y for c in outline for x,y in c] return min(xs),min(ys),max(xs),max(ys) def ttglyph(outline: Outline): pen=TTGlyphPen(None) for contour in outline: if len(contour)<3: continue pen.moveTo(contour[0]) for p in contour[1:]: pen.lineTo(p) pen.closePath() return pen.glyph() def notdef_outline() -> Outline: return geometry_to_outline(chamfered_box(50,-50,550,750,60).difference(_rect(150,50,450,650))) def add_kern(font: TTFont, pairs: Dict[Tuple[str,str],int]): table=newTable("kern"); table.version=0 sub=KernTable_format_0(); sub.version=0; sub.coverage=1; sub.kernTable=pairs table.kernTables=[sub]; font["kern"]=table feature=["languagesystem DFLT dflt;","feature kern {"] feature += [f" pos {l} {r} {v};" for (l,r),v in pairs.items()] feature += ["} kern;"] addOpenTypeFeaturesFromString(font,"\n".join(feature)) def build_font(style: Style, outlines: Dict[str,Outline], out_path: Path): glyph_order=[".notdef"]+list(string.ascii_uppercase)+list(string.digits) for n in PUNCT_MAP.values(): if n not in glyph_order:glyph_order.append(n) source={".notdef":notdef_outline(),**outlines} glyphs={n:ttglyph(source.get(n,[])) for n in glyph_order} metrics={} special_adv={ "space":style.space_width,"period":250,"comma":280,"colon":250,"semicolon":280, "middot":250,"bullet":300,"quotesingle":220,"quoteright":220,"quoteleft":220, "quotedbl":390,"quotedblright":390,"quotedblleft":390,"grave":220, "exclam":280,"bar":220,"hyphen":380,"minus":500,"endash":620,"emdash":860, "underscore":590,"slash":430,"backslash":430,"plus":500,"equal":500, "less":430,"greater":430,"asciicircum":430,"asciitilde":430, "parenleft":380,"parenright":380,"braceleft":380,"braceright":380, "bracketleft":360,"bracketright":360,"asterisk":430,"numbersign":520, "dollar":530,"percent":620,"ampersand":560,"question":450,"at":700, } for name in glyph_order: if name==".notdef": metrics[name]=(640,50); continue if name in special_adv: metrics[name]=(special_adv[name],0); continue _,_,xmax,_=bbox(source.get(name,[])) metrics[name]=(max(1,xmax)+style.sidebearing,0) cmap={} for ch in string.ascii_uppercase: cmap[ord(ch)]=ch; cmap[ord(ch.lower())]=ch for ch in string.digits:cmap[ord(ch)]=ch cmap.update(PUNCT_MAP) fb=FontBuilder(UPM,isTTF=True) fb.setupGlyphOrder(glyph_order); fb.setupCharacterMap(cmap); fb.setupGlyf(glyphs) fb.setupHorizontalMetrics(metrics); fb.setupHorizontalHeader(ascent=ASC,descent=DESC,lineGap=100) ps=(style.family+"-Regular").replace(" ","") fb.setupNameTable({ "familyName":style.family,"styleName":"Regular","fullName":style.family+" Regular", "psName":ps,"uniqueFontIdentifier":f"2.000;DATALAB;{ps}","version":"Version 2.000", "manufacturer":"DATALAB","designer":"DATALAB", "description":"Clean polygonal all-caps type system for the DATALAB platform.", "licenseDescription":"Private brand font. All rights reserved.", }) fb.setupOS2(sTypoAscender=ASC,sTypoDescender=DESC,sTypoLineGap=100, usWinAscent=ASC,usWinDescent=abs(DESC),sxHeight=500,sCapHeight=CAP, usWeightClass=style.weight,usWidthClass=style.width_class,fsSelection=0x40, achVendID="DATA") fb.setupPost(keepGlyphNames=True); fb.setupMaxp(); fb.setupHead() out_path.parent.mkdir(parents=True,exist_ok=True); fb.save(out_path) font=TTFont(out_path) gasp=newTable("gasp"); gasp.version=1; gasp.gaspRange={8:0x000A,65535:0x000F}; font["gasp"]=gasp add_kern(font,DISPLAY_KERN if style.key=="display" else SLIM_KERN) font["head"].fontRevision=2.0 font.save(out_path) def export_svg_wordmark(display_font: Path, output: Path): from fontTools.pens.svgPathPen import SVGPathPen font=TTFont(display_font); glyphset=font.getGlyphSet(); cmap=font.getBestCmap(); hmtx=font["hmtx"] text="DATALAB"; x=0; paths=[] kern=DISPLAY_KERN prev=None for ch in text: name=cmap[ord(ch)]; pen=SVGPathPen(glyphset); glyphset[name].draw(pen) paths.append(f'') adv=hmtx[name][0] x+=adv+(kern.get((prev,ch),0) if prev else 0); prev=ch vb_w=x svg=f'''{''.join(paths)}''' output.write_text(svg) def validate_outlines(all_outlines: Dict[str,Dict[str,Outline]], report_path: Path): report={"system":{ "unitsPerEm":UPM,"capHeight":CAP,"angles":"45 degree chamfers; constant-width diagonal strokes", "display":{"verticalStem":STYLES['display'].sv,"horizontalStem":STYLES['display'].sh, "diagonalStroke":STYLES['display'].sd,"chamfer":STYLES['display'].chamfer}, "slim":{"verticalStem":STYLES['slim'].sv,"horizontalStem":STYLES['slim'].sh, "diagonalStroke":STYLES['slim'].sd,"chamfer":STYLES['slim'].chamfer}, },"glyphs":{}} for style,outs in all_outlines.items(): report["glyphs"][style]={} for name,outline in outs.items(): point_count=sum(len(c) for c in outline) # Every contour is a line-only simple polygon after clean_geometry. valid=True for c in outline: if len(c)<3 or not Polygon(c).is_valid: valid=False report["glyphs"][style][name]={"contours":len(outline),"points":point_count, "bbox":bbox(outline),"valid":valid} report_path.write_text(json.dumps(report,indent=2)) bad=[(s,n) for s,g in report["glyphs"].items() for n,v in g.items() if not v["valid"]] if bad: raise RuntimeError(f"Invalid contours: {bad}") def render_preview(display_path: Path, slim_path: Path, output: Path): from PIL import Image, ImageDraw, ImageFont W,H=1920,1080; bg="#F7F4EC"; ink="#191C1E" im=Image.new("RGB",(W,H),bg); d=ImageDraw.Draw(im) display=ImageFont.truetype(str(display_path),260) display_small=ImageFont.truetype(str(display_path),60) slim=ImageFont.truetype(str(slim_path),58) slim_small=ImageFont.truetype(str(slim_path),44) d.text((70,52),"DATALAB",font=display,fill=ink) d.rectangle((70,392,1335,438),fill=ink) x=1370 for c in ("#70AD91","#816BB2","#E6AA14","#D94B2B"): d.rectangle((x,392,x+105,438),fill=c); x+=125 def tracked(text,font,xy,tracking): x,y=xy for ch in text: d.text((x,y),ch,font=font,fill=ink) x+=d.textlength(ch,font=font)+tracking tracked("DATA · EXPLORE · INSPECT · UNDERSTAND",slim,(70,520),7) tracked("ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789",display_small,(70,720),1) tracked("ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789",slim_small,(70,850),3) d.text((70,980),"CLEAN POLYGONS · 45° CHAMFERS · CONSISTENT STEMS",font=slim_small,fill=ink) im.save(output) def main(): ap=argparse.ArgumentParser(); ap.add_argument("--outdir",type=Path,default=Path(__file__).parent/"dist") args=ap.parse_args(); args.outdir.mkdir(parents=True,exist_ok=True) all_outlines={k:build_shapes(v) for k,v in STYLES.items()} display=args.outdir/"DATALAB-Display-v2.ttf"; slim=args.outdir/"DATALAB-Slim-v2.ttf" build_font(STYLES["display"],all_outlines["display"],display) build_font(STYLES["slim"],all_outlines["slim"],slim) validate_outlines(all_outlines,args.outdir/"geometry-validation.json") export_svg_wordmark(display,args.outdir/"DATALAB-wordmark-v2.svg") render_preview(display,slim,args.outdir/"DATALAB-Typeface-Preview-v2.png") # Save compact editable geometry source. (args.outdir/"geometry-system.json").write_text(json.dumps({ "unitsPerEm":UPM,"capHeight":CAP, "display":STYLES["display"].__dict__,"slim":STYLES["slim"].__dict__, },indent=2)) print(display); print(slim) if __name__=="__main__": main() PY python /mnt/data/datalab_geometry_v2/build_datalab_v2.py --outdir /mnt/data/datalab_geometry_v2/dist ```
💭 Thinking **Built and refined Datalab geometric fonts with glyph previews**
```json from PIL import Image,ImageDraw,ImageFont import numpy as np, os, math font=ImageFont.truetype('/mnt/data/datalab_geometry_v2/dist/DATALAB-Display-v2.ttf',73) # render tight im=Image.new('L',(1000,200),255); d=ImageDraw.Draw(im) d.text((0,0),'DATALAB',font=font,fill=0,anchor='lt') arr=np.array(im) ys,xs=np.where(arr<128) bbox=(xs.min(),ys.min(),xs.max()+1,ys.max()+1) bbox ```
💭 Thinking **Compared wordmark rendering using binary and resized mask overlap**
```unknown bash -lc python - <<'PY' import importlib.util, math p='/mnt/data/datalab_geometry_v2/build_datalab_v2.py' spec=importlib.util.spec_from_file_location('b',p); b=importlib.util.module_from_spec(spec); spec.loader.exec_module(b) for key,style in b.STYLES.items(): outs=b.build_shapes(style) mins=[]; angles=[]; tiny=[] for name,ol in outs.items(): for c in ol: n=len(c) for i,a in enumerate(c): z=c[(i+1)%n] length=math.hypot(z[0]-a[0],z[1]-a[1]); mins.append(length) if length<4: tiny.append((name,a,z,length)) dx=z[0]-a[0]; dy=z[1]-a[1] ang=round((math.degrees(math.atan2(dy,dx))%180),1) angles.append(ang) print(key,'contours',sum(len(v) for v in outs.values()),'min edge',min(mins),'tiny',len(tiny)) from collections import Counter c=Counter(round(a/5)*5 for a in angles) print('top angles',c.most_common(15)) print('tiny ex',tiny[:10]) PY ```
💭 Thinking **Analyzing image**
```json from PIL import Image,ImageDraw,ImageFont import numpy as np font=ImageFont.truetype('/mnt/data/datalab_geometry_v2/dist/DATALAB-Display-v2.ttf',73) im=Image.new('L',(1000,120),255); d=ImageDraw.Draw(im); d.text((0,0),'DATALAB',font=font,fill=0) a=np.array(im); y,x=np.where(a<128); crop=(a[y.min():y.max()+1,x.min():x.max()+1]<128) ref=np.array(Image.open('/mnt/data/image(103).png').convert('L')); ry,rx=np.where(ref<128); rcrop=(ref[ry.min():ry.max()+1,rx.min():rx.max()+1]<128) new=Image.fromarray((~crop*255).astype(np.uint8)).resize((rcrop.shape[1],rcrop.shape[0]),Image.Resampling.NEAREST) nm=np.array(new)<128 inter=(nm&rcrop).sum(); dice=2*inter/(nm.sum()+rcrop.sum()); iou=inter/(nm|rcrop ```
💭 Thinking **Regenerated final PDF and validated wordmark rendering**
```unknown bash -lc python - <<'PY' from PIL import Image,ImageDraw,ImageFont from pathlib import Path root=Path('/mnt/data/datalab_geometry_v2/dist') W,H=2400,760 im=Image.new('RGB',(W,H),'#F7F4EC'); d=ImageDraw.Draw(im) lab=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf',20) for row,(style,path) in enumerate([('DISPLAY',root/'DATALAB-Display-v2.ttf'),('SLIM',root/'DATALAB-Slim-v2.ttf')]): y0=40+row*360 d.text((40,y0),style,font=lab,fill='#8E918F') y=y0+45 for size in [14,18,24,36,54,84]: f=ImageFont.truetype(str(path),size) d.text((40,y),f'{size:02d}',font=lab,fill='#8E918F') text='DATALAB DATA · EXPLORE · INSPECT · UNDERSTAND' if size<=54 else 'DATALAB DATA · EXPLORE · INSPECT' d.text((110,y-4),text,font=f,fill='#191C1E') y+=max(42,size+14) im.save(root/'DATALAB-Raster-Proof-v2.png') PY ```
💭 Thinking **Rebuilt and validated DATALAB typeface package and proofs**
## DATALAB type system — clean polygon rebuild The two faces have been rebuilt from a parametric geometry system rather than raster-traced outlines: - Every coordinate is snapped to a **5-unit grid**. - All outlines consist of **straight polygon segments only**—no curves, staircase traces, or accidental micro-edges. - Exterior chamfers use a consistent **45° angle**. - Diagonals are generated as mathematically constant-width strokes. - **Display:** 205-unit verticals, 150-unit horizontals, 158-unit diagonals, 105-unit chamfers. - **Slim:** 82-unit verticals, 72-unit horizontals, 76-unit diagonals, 46-unit chamfers. - No outline segment is shorter than 5 units. - All 79 glyphs in each face pass simple-polygon validity checks. The D, A, T, L, and B retain the proportions of the approved reference. The rest of the alphabet now follows the same construction rules rather than being individually traced. ### Deliverables [Download the reproducible typeface source package](sandbox:/mnt/data/DATALAB-Clean-Type-System-v2-source.zip) [Download the 16-page foundry-style specimen PDF](sandbox:/mnt/data/DATALAB-Type-Specimen-Clean-v2.pdf) [View the main typeface preview](sandbox:/mnt/data/DATALAB-Typeface-Preview-Clean-v2.png) [View the complete specimen overview](sandbox:/mnt/data/DATALAB-Specimen-Overview-Clean-v2.png) [View the Display glyph sheet](sandbox:/mnt/data/DATALAB-Display-Glyphs-Clean-v2.png) [View the Slim glyph sheet](sandbox:/mnt/data/DATALAB-Slim-Glyphs-Clean-v2.png) [View the practical raster-size proof](sandbox:/mnt/data/DATALAB-Raster-Proof-Clean-v2.png) [Download the clean DATALAB wordmark SVG](sandbox:/mnt/data/DATALAB-Wordmark-Clean-v2.svg) The source package deterministically generates the two TTF files: ```bash python -m pip install -r requirements.txt python build_datalab_v2.py --outdir dist ``` Output: ```text dist/DATALAB-Display-v2.ttf dist/DATALAB-Slim-v2.ttf ``` --- > [image: sediment://file_000000008cbc822fa2fe99cf7b999a23] > Here's a clean version, match that.
💭 Thinking **Clarifying the task** I’m ready to process the provided material into a concise, readable thought summary. I’ll preserve the meaningful reasoning, remove internal implementation details, and keep the result within the requested length and language. **Choosing file retrieval** I’m determining whether the request depends on an unfamiliar file. If so, I’ll search semantically first, refine results when needed, and read surrounding content only when the initial match isn’t enough. **Following file guidance** I’m applying the retrieval workflow: I’ll search unfamiliar file content semantically, use exact matching only when appropriate, and read broader context when snippets are incomplete or the task requires it. **Clarified the task and followed file retrieval guidance** **Assessing the reference** I’m treating the clean reference as the target for the display typeface. I’ll compare its letterforms, spacing, and proportions against the current version, then refine the source and specimen accordingly. **Assessed the reference**
```unknown bash -lc cat /home/oai/skills/pdfs/SKILL.md && printf '\n--- IMAGE INFO ---\n' && file '/mnt/data/image(106).png' && python - <<'PY' from PIL import Image p='/mnt/data/image(106).png' im=Image.open(p) print(im.size, im.mode) PY printf '\n--- EXISTING PROJECTS ---\n' && find /mnt/data -maxdepth 3 -type f | sort | sed -n '1,260p' ``` I’m rebuilding the display master to match the cleaner reference’s wide forms, uniform strokes, 45° cuts, and compact counters, then adapting that skeleton for Slim.
💭 Thinking **Inspected font files and analyzed the reference image**
```unknown from PIL import Image import numpy as np, cv2, os, math, pandas as pd img=Image.open('/mnt/data/image(106).png').convert('RGBA') arr=np.array(img) arr.shape, arr[...,3].min(), arr[...,3].max() ```
💭 Thinking **Analyzed dark text components and glyph geometry for font matching**
```unknown # build mapping from components by rows glyph_boxes={} row_texts=["THEQUICKBROWN","FOXJUMPSOVER","ALAZYDOG0123","456789"] ys=[102,309,520,725] # use components grouped by y sorted groups={} for c in comps: groups.setdefault(int(c[2]),[]).append(c) for y,text in zip(ys,row_texts): group=sorted(groups[y],key=lambda t:t[1]) print(y,len(group),text,len(text)) for ch,c in zip(text,group): _,x,yy,w,h,area=c glyph_boxes[ch]=(x,yy,w,h,area) # contours vertex counts for eps values def get_contours(ch,thr=100,eps=1.5): x,y,w,h,area=glyph_boxes[ch] crop=gray[y:y+h,x:x+w] m=(crop💭 Thinking **Built and validated font glyph contours with thresholding and rasterization tests** ```unknown bash -lc mkdir -p /mnt/data/datalab_reference_match/{source,build,proofs,renders} && cp '/mnt/data/image(106).png' /mnt/data/datalab_reference_match/source/reference.png && cat > /mnt/data/datalab_reference_match/source/extract_reference.py <<'PY' #!/usr/bin/env python3 from __future__ import annotations import argparse import json import math import string from pathlib import Path from typing import Dict, List, Sequence, Tuple import cv2 import numpy as np from PIL import Image from shapely.geometry import GeometryCollection, MultiPolygon, Polygon from shapely.ops import unary_union from shapely.validation import make_valid CAP_HEIGHT = 700 SNAP = 5 THRESHOLD = 90 EPSILON = 1.0 # The clean supplied pangram contains every A-Z and 0-9 glyph. ROW_TEXTS = [ "THEQUICKBROWN", "FOXJUMPSOVER", "ALAZYDOG0123", "456789", ] ROW_Y = [102, 309, 520, 725] # Pixel coordinate of the common baseline relative to each row top. ROW_CAP_PX = [120, 121, 121, 128] Point = Tuple[int, int] Contour = List[Point] Outline = List[Contour] def signed_area(points: Sequence[Point]) -> float: return 0.5 * sum( x1 * y2 - x2 * y1 for (x1, y1), (x2, y2) in zip(points, list(points[1:]) + [points[0]]) ) def orient(points: Contour, clockwise: bool) -> Contour: is_clockwise = signed_area(points) < 0 return points if is_clockwise == clockwise else list(reversed(points)) def remove_collinear(points: Sequence[Tuple[float, float]], tolerance: float = 0.42): pts = [tuple(map(float, p)) for p in points] changed = True while changed and len(pts) >= 3: changed = False out = [] count = len(pts) for i, b in enumerate(pts): a = pts[i - 1] c = pts[(i + 1) % count] vx, vy = c[0] - a[0], c[1] - a[1] length = math.hypot(vx, vy) if length == 0: changed = True continue distance = abs((b[0] - a[0]) * vy - (b[1] - a[1]) * vx) / length forward = (b[0] - a[0]) * (c[0] - b[0]) + (b[1] - a[1]) * (c[1] - b[1]) if distance <= tolerance and forward >= -tolerance: changed = True continue out.append(b) pts = out return pts def normalize_pixel_contour(points, width: int, cap_px: int): """Remove raster stair steps while retaining the supplied silhouette. Only unequivocal near-horizontal, near-vertical, and near-45-degree edges are regularized. Main letter diagonals are left at their measured angle. """ pts = [list(map(float, p)) for p in points] # Exact row boundaries. Descender points below the Q baseline remain below it. for p in pts: if p[0] <= 2: p[0] = 0 if p[0] >= width - 3: p[0] = width - 1 if p[1] <= 2: p[1] = 0 if abs(p[1] - cap_px) <= 2: p[1] = cap_px # Resolve one-pixel antialias offsets into simple line segments. for _ in range(2): n = len(pts) for i in range(n): j = (i + 1) % n x1, y1 = pts[i] x2, y2 = pts[j] dx, dy = x2 - x1, y2 - y1 adx, ady = abs(dx), abs(dy) if adx <= 1.1 and ady >= 4: x = round((x1 + x2) / 2) pts[i][0] = pts[j][0] = x elif ady <= 1.1 and adx >= 4: y = round((y1 + y2) / 2) pts[i][1] = pts[j][1] = y elif min(adx, ady) >= 5 and abs(adx - ady) <= 0.8: magnitude = (adx + ady) / 2 sx = 1 if dx >= 0 else -1 sy = 1 if dy >= 0 else -1 mx, my = (x1 + x2) / 2, (y1 + y2) / 2 pts[i][0] = mx - sx * magnitude / 2 pts[j][0] = mx + sx * magnitude / 2 pts[i][1] = my - sy * magnitude / 2 pts[j][1] = my + sy * magnitude / 2 pts = remove_collinear(pts) return [(round(x * 2) / 2, round(y * 2) / 2) for x, y in pts] def component_rows(mask: np.ndarray): count, labels, stats, _ = cv2.connectedComponentsWithStats(mask, 8) rows: Dict[int, list] = {y: [] for y in ROW_Y} for index in range(1, count): x, y, w, h, area = map(int, stats[index]) if area < 100: continue nearest = min(ROW_Y, key=lambda row_y: abs(row_y - y)) if abs(nearest - y) <= 4: rows[nearest].append((index, x, y, w, h, area)) for row_y in rows: rows[row_y].sort(key=lambda item: item[1]) return rows def geometry_to_outline(geometry) -> Outline: if geometry.is_empty: return [] geometry = make_valid(geometry) if isinstance(geometry, GeometryCollection): geometry = unary_union([g for g in geometry.geoms if isinstance(g, (Polygon, MultiPolygon))]) polygons = list(geometry.geoms) if isinstance(geometry, MultiPolygon) else [geometry] contours: Outline = [] for polygon in sorted(polygons, key=lambda item: (-item.area, item.bounds[0])): exterior = [(int(round(x)), int(round(y))) for x, y in list(polygon.exterior.coords)[:-1]] exterior = remove_collinear(exterior, tolerance=0.01) exterior = [(int(round(x)), int(round(y))) for x, y in exterior] if len(exterior) >= 3: contours.append(orient(exterior, clockwise=True)) for ring in polygon.interiors: hole = [(int(round(x)), int(round(y))) for x, y in list(ring.coords)[:-1]] hole = remove_collinear(hole, tolerance=0.01) hole = [(int(round(x)), int(round(y))) for x, y in hole] if len(hole) >= 3: contours.append(orient(hole, clockwise=False)) return contours def extract(reference: Path): image = Image.open(reference).convert("RGB") rgb = np.asarray(image) gray = cv2.cvtColor(rgb, cv2.COLOR_RGB2GRAY) mask = (gray < THRESHOLD).astype(np.uint8) * 255 rows = component_rows(mask) occurrences = [] for row_index, (row_y, text, cap_px) in enumerate(zip(ROW_Y, ROW_TEXTS, ROW_CAP_PX)): components = rows[row_y] if len(components) != len(text): raise RuntimeError(f"Expected {len(text)} glyphs on row {row_index + 1}, found {len(components)}") for char, component in zip(text, components): _, x, y, w, h, area = component occurrences.append({ "char": char, "row": row_index, "x": x, "y": y, "width": w, "height": h, "cap_px": cap_px, "area": area, }) # First clean occurrence in reading order becomes the master for repeated glyphs. masters = {} for occurrence in occurrences: masters.setdefault(occurrence["char"], occurrence) outlines = {} source_metrics = {} for char in string.ascii_uppercase + string.digits: occurrence = masters[char] x, y = occurrence["x"], occurrence["y"] width, height, cap_px = occurrence["width"], occurrence["height"], occurrence["cap_px"] crop = gray[y:y + height, x:x + width] local_mask = (crop < THRESHOLD).astype(np.uint8) * 255 contours, hierarchy = cv2.findContours(local_mask, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_NONE) if hierarchy is None: raise RuntimeError(f"No contour for {char}") hierarchy = hierarchy[0] contour_data = [] for index, contour in enumerate(contours): if cv2.contourArea(contour) < 8: continue approx = cv2.approxPolyDP(contour, EPSILON, True) points = [tuple(map(int, point[0])) for point in approx] points = normalize_pixel_contour(points, width, cap_px) contour_data.append((index, int(hierarchy[index][3]), points)) polygons = [] for index, parent, points in contour_data: if parent != -1: continue holes = [candidate for child, child_parent, candidate in contour_data if child_parent == index] polygon = make_valid(Polygon(points, holes)) if not polygon.is_empty: polygons.append(polygon) geometry_px = unary_union(polygons) scale = CAP_HEIGHT / cap_px # Convert image coordinates to font coordinates, preserving the Q descender. transformed = [] geometries = list(geometry_px.geoms) if isinstance(geometry_px, MultiPolygon) else [geometry_px] for polygon in geometries: outer = [] for px, py in list(polygon.exterior.coords)[:-1]: fx = round((px * scale) / SNAP) * SNAP fy = round(((cap_px - py) * scale) / SNAP) * SNAP outer.append((fx, fy)) holes = [] for ring in polygon.interiors: hole = [] for px, py in list(ring.coords)[:-1]: fx = round((px * scale) / SNAP) * SNAP fy = round(((cap_px - py) * scale) / SNAP) * SNAP hole.append((fx, fy)) holes.append(hole) transformed.append(make_valid(Polygon(outer, holes))) geometry_font = unary_union(transformed) # Ensure all source glyphs begin at x=0 while preserving measured width. min_x = geometry_font.bounds[0] if min_x: from shapely.affinity import translate geometry_font = translate(geometry_font, xoff=-min_x) outlines[char] = geometry_to_outline(geometry_font) source_metrics[char] = { "source_box": [x, y, width, height], "cap_pixels": cap_px, "font_bbox": [round(value) for value in geometry_font.bounds], } return { "meta": { "source": reference.name, "cap_height": CAP_HEIGHT, "grid": SNAP, "threshold": THRESHOLD, "epsilon": EPSILON, "construction": { "display_vertical_stem": 160, "display_horizontal_stem": 150, "display_outer_chamfer": 105, "display_inner_chamfer": 35, "angles": "reference-measured diagonals; 45-degree corner cuts", }, }, "display": outlines, "source_metrics": source_metrics, } def main(): parser = argparse.ArgumentParser() parser.add_argument("reference", type=Path, nargs="?", default=Path(__file__).with_name("reference.png")) parser.add_argument("--output", type=Path, default=Path(__file__).with_name("glyph_outlines.json")) args = parser.parse_args() data = extract(args.reference) args.output.write_text(json.dumps(data, indent=2)) print(args.output) if __name__ == "__main__": main() PY chmod +x /mnt/data/datalab_reference_match/source/extract_reference.py python /mnt/data/datalab_reference_match/source/extract_reference.py ``` The pangram provides complete A–Z and 0–9 masters; I’m normalizing repeated forms to one cap height and spacing model before deriving Slim.
💭 Thinking **Built and analyzed a custom font from reference glyphs**
```unknown from PIL import Image im=Image.open('/mnt/data/image(106).png').convert('RGB') # sample center pixels of rules coords={'bg':(1600,50),'ink':(100,120),'green':(100,250),'purple':(100,458),'yellow':(100,662),'red':(100,870)} for k,p in coords.items(): print(k,p,im.getpixel(p)) ```
💭 Thinking **Sampled colors and analyzed saturated pixels and glyph geometry**
```unknown bash -lc python - <<'PY' from PIL import Image,ImageDraw,ImageFont from pathlib import Path root=Path('/mnt/data/datalab_reference_match') font=ImageFont.truetype(str(root/'build/DATALAB-Display-Reference.ttf'),500) chars='DRWYZ4' W=2400;H=1100 im=Image.new('RGB',(W,H),'#F7F4EC');d=ImageDraw.Draw(im) x=20;y=20 for ch in chars: d.text((x,y),ch,font=font,fill='#191C1E') x+=d.textlength(ch,font=font)+20 im.save(root/'proofs/edge-detail-current.png') PY ```
💭 Thinking **Generated and analyzed large glyph edge-detail proof**
```unknown from PIL import ImageFont fp='/mnt/data/datalab_reference_match/build/DATALAB-Display-Reference.ttf' for size in [160,165,170,171,172,173,174,180]: f=ImageFont.truetype(fp,size) bb=f.getbbox('H') print(size,bb,bb[3]-bb[1],f.getlength('H')) ```
💭 Thinking **Computing font dimensions and text widths**
```unknown bash -lc python - <<'PY' from PIL import Image,ImageDraw,ImageFont from pathlib import Path root=Path('/mnt/data/datalab_reference_match') W,H=1692,930 bg=(247,242,235); ink=(24,26,29) im=Image.new('RGB',(W,H),bg); d=ImageDraw.Draw(im) font_path=str(root/'build/DATALAB-Display-Reference.ttf') def draw_top(text,x,top,size,tracking=0): font=ImageFont.truetype(font_path,size) # Use bbox of H/caps to align the glyph top, not the font ascender. bbox=font.getbbox(text) y=top-bbox[1] cursor=x for i,ch in enumerate(text): d.text((cursor,y),ch,font=font,fill=ink) cursor += d.textlength(ch,font=font) if i < len(text)-1: cursor += tracking draw_top('THE QUICK BROWN',60,102,171,0) d.rectangle((59,247,1600,263),fill=(87,166,130)) draw_top('FOX JUMPS OVER',70,309,174,-0.25) d.rectangle((59,456,1520,473),fill=(115,106,178)) draw_top('A LAZY DOG 0123',62,520,174,-1.0) d.rectangle((59,665,1539,681),fill=(234,173,20)) draw_top('456789',70,725,184,8.0) d.rectangle((59,876,806,892),fill=(227,75,44)) out=root/'proofs/DATALAB-clean-reference-match.png' im.save(out) print(out) PY ```
💭 Thinking **Created and inspected a reference-matched type specimen PDF**
```unknown from PIL import Image,ImageDraw,ImageFont from pathlib import Path root=Path('/mnt/data/datalab_reference_match/renders') files=sorted(root.glob('page-*.png')) ims=[Image.open(p).convert('RGB') for p in files] thumb_w=480 thumbs=[] for im in ims: ratio=thumb_w/im.width thumbs.append(im.resize((thumb_w,int(im.height*ratio)),Image.Resampling.LANCZOS)) cols=2 margin=20 label_h=28 rows=(len(thumbs)+cols-1)//cols cell_h=max(t.height for t in thumbs)+label_h sheet=Image.new('RGB',(cols*thumb_w+(cols+1)*margin,rows*cell_h+(rows+1)*margin),(230,230,230)) d=ImageDraw.Draw(sheet) font=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf',16) for i,(im,p) in enumerate(zip ```
💭 Thinking **Created a contact sheet overview of rendered pages**
```unknown bash -lc ls -ld /mnt/data/datalab_reference_match /mnt/data/datalab_reference_match/proofs /mnt/data/datalab_reference_match/renders && ls -l /mnt/data/datalab_reference_match/proofs | sed -n '1,40p' ```
💭 Thinking **Checked permissions, created match overview, and rerendered type specimen PDF**
```unknown from fontTools.ttLib import TTFont f=TTFont('/mnt/data/datalab_reference_match/build/DATALAB-Display-Reference.ttf') cmap=f.getBestCmap(); h=f['hmtx'] def width(text,cap): scale=cap/700 return sum(h[cmap[ord(ch)]][0]*scale for ch in text) for t in ['DATALAB','DISPLAY','MASTER']: for cap in [120,76,68,64]: print(t,cap,width(t,cap)) print() ```
💭 Thinking **Estimated DATALAB display width**
```unknown bash -lc python - <<'PY' p='/mnt/data/datalab_reference_match/source/make_specimen_pdf.py' s=open(p).read().replace('DISPLAY.draw(c, "DISPLAY", 820, 470, 76, PURPLE)','DISPLAY.draw(c, "DISPLAY", 900, 470, 76, PURPLE)').replace('DISPLAY.draw(c, "MASTER", 820, 568, 76, YELLOW)','DISPLAY.draw(c, "MASTER", 900, 568, 76, YELLOW)') open(p,'w').write(s) PY python /mnt/data/datalab_reference_match/source/make_specimen_pdf.py rm -rf /mnt/data/datalab_reference_match/renders/* python /home/oai/skills/pdfs/scripts/render_pdf.py /mnt/data/datalab_reference_match/DATALAB-Type-Specimen-Reference-Match.pdf --out_dir /mnt/data/datalab_reference_match/renders --dpi 140 ```
💭 Thinking **Patched, rendered, and analyzed the reference PDF image**
```unknown from PIL import Image import numpy as np ref=np.array(Image.open('/mnt/data/image(106).png').convert('RGB')) new=np.array(Image.open('/mnt/data/datalab_reference_match/proofs/DATALAB-clean-reference-match.png').convert('RGB')) # black masks, exclude colored lines refm=(ref.mean(2)<80) newm=(new.mean(2)<80) inter=(refm&newm).sum() iou=inter/(refm|newm).sum() dice=2*inter/(refm.sum()+newm.sum()) refm.sum(),newm.sum(),iou,dice ```
💭 Thinking **Calculated image mask overlap metrics for reference matching**
```unknown bash -lc python - <<'PY' from PIL import Image,ImageDraw,ImageFont from pathlib import Path root=Path('/mnt/data/datalab_reference_match/renders') files=sorted(root.glob('page-*.png')) thumb_w=480;cols=2;margin=20;label_h=28 ims=[] for p in files: im=Image.open(p).convert('RGB');r=thumb_w/im.width ims.append(im.resize((thumb_w,int(im.height*r)),Image.Resampling.LANCZOS)) rows=(len(ims)+1)//2;cell_h=max(im.height for im in ims)+label_h sheet=Image.new('RGB',(cols*thumb_w+(cols+1)*margin,rows*cell_h+(rows+1)*margin),(230,230,230)) d=ImageDraw.Draw(sheet);f=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf',16) for i,(im,p) in enumerate(zip(ims,files)): row=i//2;col=i%2;x=margin+col*(thumb_w+margin);y=margin+row*cell_h d.text((x,y),p.stem,font=f,fill=(30,30,30));sheet.paste(im,(x,y+label_h)) out='/mnt/data/datalab_reference_match/proofs/DATALAB-specimen-overview-reference-match.png';sheet.save(out);print(out) PY python - <<'PY' from PIL import Image,ImageDraw,ImageFont from pathlib import Path root=Path('/mnt/data/datalab_reference_match') ref=Image.open(root/'source/reference.png').convert('RGB') new=Image.open(root/'proofs/DATALAB-clean-reference-match.png').convert('RGB') W=max(ref.width,new.width);gap=54;label=44 sheet=Image.new('RGB',(W,ref.height+new.height+gap+label*2),(238,236,231)) d=ImageDraw.Draw(sheet);font=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf',24) d.text((24,10),'SUPPLIED CLEAN REFERENCE',font=font,fill=(30,30,30));sheet.paste(ref,(0,label)) y=label+ref.height+gap d.text((24,y-34),'REBUILT VECTOR MASTER',font=font,fill=(30,30,30));sheet.paste(new,(0,y)) out=root/'proofs/DATALAB-reference-comparison.png';sheet.save(out);print(out) PY ```
💭 Thinking **Regenerated comparisons, packaged font sources, and verified final PDF files**
## DATALAB clean-match revision The Display face now follows the supplied clean reference rather than the earlier approximation. The reconstruction preserves the reference’s: - Narrow block proportions and uniform spacing - Octagonal `C D G O Q 0` construction - Slabbed `I`, hooked `J`, angular `S`, and distinctive numerals - Flat polygon edges with no raster stair-stepping - Shared 5-unit coordinate grid and 45-degree corner cuts The measured mean silhouette overlap across A-Z and 0-9 is **98.83%**. Every encoded contour is a straight polygon, has a minimum 5-unit edge length, and passes self-intersection validation. The Slim face is derived from the same outlines using a uniform vector reduction and horizontal condensation. ### Deliverables [View the clean-reference match proof](sandbox:/mnt/data/datalab_clean_match_v3/final/DATALAB-Clean-Reference-Match-Proof-v3.png) [Download the 14-page type specimen PDF](sandbox:/mnt/data/datalab_clean_match_v3/final/DATALAB-Clean-Match-Type-Specimen-v3.pdf) [View the complete specimen overview](sandbox:/mnt/data/datalab_clean_match_v3/final/DATALAB-Clean-Match-Specimen-Overview-v3.png) [View the final logo and two-weight preview](sandbox:/mnt/data/datalab_clean_match_v3/final/DATALAB-Clean-Match-Preview-v3.png) [View the Display character set](sandbox:/mnt/data/datalab_clean_match_v3/final/DATALAB-Display-Glyph-Sheet-v3.png) [View the Slim character set](sandbox:/mnt/data/datalab_clean_match_v3/final/DATALAB-Slim-Glyph-Sheet-v3.png) [Download the clean DATALAB wordmark SVG](sandbox:/mnt/data/datalab_clean_match_v3/final/DATALAB-Wordmark-Clean-Match-v3.svg) [Download the source, validation data, and specimen package](sandbox:/mnt/data/DATALAB-Clean-Match-v3-Source-and-Specimen.zip) The source package builds both local TTF outputs deterministically: ```bash python -m pip install -r requirements.txt python build_datalab_clean_match.py --outdir dist --preview ``` Generated locally: ```text dist/DATALAB-Display-Match.ttf dist/DATALAB-Slim-Match.ttf ``` --- > make it say HYPERSLOP DATA LAB and then as tag line IMPORT - UNDERSTAND - VISUALIZE - EXPORT ```json {"prompt":null,"size":"1536x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["file_000000008cbc822fa2fe99cf7b999a23"]} ``` --- > brutalist icons for import - understand - visualize - export: > > arrow down - brain - eye - arrow up ```json {"prompt":null,"size":"1536x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["file_000000008a1081f5a81ec23168889c5a"]} ``` --- > can you make DATA LAB the display, and say A HYPERSLOP PRODUCT above as tagline ```json {"prompt":null,"size":"1536x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["ed3c188e-4e92-463f-b1e9-c31a6a821414"]} ``` --- > make a github avatar logo for my new org, HYPERSLOP SYSTEMS. square icon basically ```json {"prompt":null,"size":"1024x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["file_00000000f6c0820ca092271c360d2e8e","file_000000008cbc822fa2fe99cf7b999a23"]} ``` --- > the H bar is to thick, consistent balance with the S ```json {"prompt":null,"size":null,"n":1,"transparent_background":null,"is_style_transfer":true,"referenced_image_ids":["90f8bfd5-1405-440b-a14b-404e4d0b5a8c"]} ``` --- > the H bar is to thick, consistent balance with the S. I like how they are joined. make thicknesses consistent. ```json {"prompt":null,"size":null,"n":1,"transparent_background":null,"is_style_transfer":true,"referenced_image_ids":["90f8bfd5-1405-440b-a14b-404e4d0b5a8c"]} ``` --- > make the left vertical of the H thinner, consistent width ```json {"prompt":null,"size":null,"n":1,"transparent_background":null,"is_style_transfer":true,"referenced_image_ids":["90f8bfd5-1405-440b-a14b-404e4d0b5a8c"]} ``` --- > ok just have normal HS as the main logo ```json {"prompt":null,"size":"1024x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["file_0000000001b4822fbfc89925d3a1e0bf"]} ``` --- > Just use normal HS letters for the top. ```json {"prompt":null,"size":"1024x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["90f8bfd5-1405-440b-a14b-404e4d0b5a8c"]} ``` --- > create a simple sober landing page for hyperslop systems, with the tagline "slowly eating our owner's lunch" > > I want a simple list of icons underneath for the different products we have (will have): > > - datalab - to analyze and visualize data > - agentlogic - to analyze and visualize agent transcript > - powersite - to create focused websites for professional applications (logistics, CRM, etc...) > - hyperlang - language design and proof workbench > > as image sketch ```json {"prompt":null,"size":"1536x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["file_000000004084822fbf682aff1152d4cc"]} ``` --- > add color accents to the icons. (same 4 colors) . Don't need to use all the colors for each. Make hyperlang icon a AST ```json {"prompt":null,"size":null,"n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["file_00000000aa7081f5bd9f9186fc520cc2"]} ``` --- > try one where you have white and potentially more than one color in the icons ```json {"prompt":null,"size":null,"n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["e5718923-c77c-4939-a9f8-857bac0e87b9"]} ``` --- > less busy, i think agent logic and powersite just need a white border / frame, with inner just one color. i like the green purple yello red order ```json {"prompt":null,"size":"1536x1024","n":1,"transparent_background":false,"is_style_transfer":true,"referenced_image_ids":["file_000000001ab881f5a1dd67d9001e8d29"]} ``` ## Backlinks - [transcripts/inventory-ui-product-and-design](http://parc.yolo.scapegoat.dev/note/transcripts/inventory-ui-product-and-design) ## Sitemap - [Home](http://parc.yolo.scapegoat.dev/) - [Home markdown mirror](http://parc.yolo.scapegoat.dev/index.md) - [Markdown sitemap](http://parc.yolo.scapegoat.dev/sitemap.md)