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Light render (plot-light.png): Warm off-white (#FAF8F1) background. The mountain silhouette is filled with brand green (#009E73), forming a panoramic ridgeline sweeping from left to right across the full canvas width. All 16 Wallis peaks are annotated with thin vertical leader lines rising from the summit dot to one of three staggered label tiers (at ~4880 m, ~5040 m, and ~5200 m). The Matterhorn label is bold and uses a slightly larger font; its summit dot is also larger and solid dark. Y-axis label "Elevation (m)" and tick labels (2500–5000 m) are dark and clearly readable. Title "Wallis 4000ers · area-mountain-panorama · bokeh · anyplot.ai" is centered and legible. X-axis is hidden. Subtle horizontal grid lines at y-only. All text is readable against the light background — no light-on-light failures.
Dark render (plot-dark.png): Near-black (#1A1A17) background. The brand green silhouette is identical to the light render (same #009E73 fill) — data colors unchanged. Chrome elements flip correctly: title, axis label, and tick labels are rendered in light cream/off-white tones. Leader lines are white/muted-light. Peak name and elevation labels use the INK and INK_SOFT dark-theme tokens (light text). No dark-on-dark failures detected — all text is clearly readable against the dark background. The Matterhorn's focal emphasis (bold name, larger dot, now rendered white) is preserved.
Both paragraphs are required. A review that only describes one render is invalid.
Score: 84/100
Category
Score
Max
Visual Quality
26
30
Design Excellence
12
20
Spec Compliance
15
15
Data Quality
15
15
Code Quality
10
10
Library Mastery
6
10
Total
84
100
Visual Quality (26/30)
VQ-01: Text Legibility (7/8) — Font sizes explicitly set (36pt title, 24pt axis label, 20pt ticks, 20–24pt annotations); readable in both themes. Minor: elevation sub-labels at 18pt are at the minimum threshold.
VQ-02: No Overlap (5/6) — Three-tier staggering handles most label crowding; no severe collisions visible. Some slight compression in the densely-packed left and right clusters.
VQ-03: Element Visibility (5/6) — Green silhouette, summit dots, and leader lines are all clearly visible. Non-focal leader lines at 55% alpha are intentionally muted but remain legible.
VQ-04: Color Accessibility (2/2) — Single-series green silhouette; summit dot contrast is strong; no red-green-only encoding.
VQ-05: Layout & Canvas (3/4) — 4800×2700 landscape is ideal for panorama. The y-range (2500–5400 m) allocates appropriate vertical room for the label tiers above the ridgeline.
VQ-06: Axis Labels & Title (2/2) — Title and y-axis label ("Elevation (m)") are descriptive and correctly formatted; x-axis hidden per spec.
VQ-07: Palette Compliance (2/2) — Silhouette uses #009E73 (Okabe-Ito position 1). Backgrounds are #FAF8F1 / #1A1A17. Chrome tokens apply correctly across both themes.
Design Excellence (12/20)
DE-01: Aesthetic Sophistication (5/8) — Clean panoramic composition with good focal hierarchy; Matterhorn emphasis via bold type and larger dot is deliberate. Missing the optional sky-gradient suggested in the spec (dusk/blue gradient above the ridgeline) that would greatly elevate the photographic mood. Single flat fill reads well but is conservative.
DE-02: Visual Refinement (4/6) — X-axis hidden; outline_line_color removed; y-only subtle grid; minor ticks suppressed; no legend (single series). Well-considered minimalism. Could refine the label zone further — the large empty band between the peak labels and the y-range top (5000–5400 m) adds dead space.
DE-03: Data Storytelling (3/6) — Matterhorn focal emphasis is present but understated. Visually, Dufourspitze (4634 m) is the tallest rendered peak, which can confuse the viewer about the stated focal point. Consider a distinct accent color or icon for the Matterhorn column, or a larger leader line contrast, to make it the unambiguous visual anchor.
Spec Compliance (15/15)
SC-01: Plot Type (5/5) — Filled area silhouette, panoramic orientation, correct.
SC-02: Required Features (4/4) — Fill, peak annotations (name + elevation), staggered labels, leader lines, summit dots, y-axis from 2500 m, x-axis hidden, wide landscape. Sky gradient is optional per spec and omitted; all required features present.
SC-03: Data Mapping (3/3) — 16 Wallis peaks annotated at correct angles and elevations. Ridgeline generated with realistic saddle depths.
SC-04: Title & Legend (3/3) — Title matches required format area-mountain-panorama · bokeh · anyplot.ai; no legend (single series, appropriate).
Data Quality (15/15)
DQ-01: Feature Coverage (6/6) — Full ridgeline sweep across ~180° of panorama; saddles and peaks shown; all 16 peaks labeled with name and elevation.
DQ-02: Realistic Context (5/5) — Real Wallis 4000m peaks with authentic elevations; neutral alpine geography.
DQ-03: Appropriate Scale (4/4) — Y-range 2500–5400 m, X-range –3–184°; sensible for Valais panorama.
Code Quality (10/10)
CQ-01: KISS Structure (3/3) — Top-level script, no functions/classes.
CQ-02: Reproducibility (2/2) — np.random.seed(42) for ridgeline saddle generation.
CQ-03: Clean Imports (2/2) — All imports are used; no unused imports.
CQ-04: Code Elegance (2/2) — Cosine smoothstep interpolation loop is clear; label construction loop is clean; no fake UI elements.
CQ-05: Output & API (1/1) — Saves plot-{THEME}.png and plot-{THEME}.html.
Library Mastery (6/10)
LM-01: Idiomatic Usage (4/5) — Uses Bokeh's figure, patch, line, scatter, Label, FixedTicker, output_file/save/export_png idiomatically. Data passed directly (arrays) rather than via ColumnDataSource — less idiomatic for Bokeh but functional.
LM-02: Distinctive Features (2/5) — Uses Label model and FixedTicker which are Bokeh-specific. However, Bokeh's primary distinctive feature — interactive hover tooltips (HoverTool) — is entirely absent. A HoverTool showing peak name and elevation on hover would leverage Bokeh's core strength and is a natural fit for this plot. No ColumnDataSource means the interactivity foundation is also missing.
Score Caps Applied
None applied.
Strengths
Perfect spec compliance: all 16 Wallis peaks annotated, correct ridgeline shape, correct axis configuration.
Full theme-adaptive chrome correctly implemented with both renders passing readability checks.
Three-tier label staggering handles dense peak clusters effectively without collisions.
Cosine smoothstep ridgeline generation creates a realistic, smooth mountain silhouette with proper saddle depths.
Focal Matterhorn emphasis via bold type and larger summit dot shows design intent.
Flawless code quality: seed for reproducibility, clean imports, no classes/functions, correct output filenames.
Weaknesses
No Bokeh HoverTool — misses the library's core distinctive feature; adding hover would show peak name + elevation interactively.
No ColumnDataSource for the peak scatter/line data — less idiomatic Bokeh and would enable HoverTool if added.
Sky gradient background (optional per spec, but high visual impact) not implemented; a dusk gradient above the ridgeline would significantly elevate the photographic mood.
Matterhorn focal emphasis is understated — Dufourspitze renders visually taller, undermining the stated focal point; a distinct accent color or stronger visual treatment for the Matterhorn column would clarify intent.
Dead space above label tiers (5000–5400 m in y-range) creates an empty band at the top of the canvas.
Issues Found
LM-02 LOW: No HoverTool despite Bokeh being an interactive library
Fix: Add ColumnDataSource for peak data and a HoverTool showing peak name and elevation on hover
DE-03 MODERATE: Dufourspitze (tallest peak at 4634 m) visually dominates over the stated focal point Matterhorn (4478 m)
Fix: Use a distinct accent color (e.g., #D55E00) or taller leader line for the Matterhorn column to make it the unambiguous visual anchor
DE-01 MINOR: Missing optional sky gradient that would elevate photographic mood
Fix: Add a LinearColorMapper or background patch for the sky area with a dusk/blue gradient
AI Feedback for Next Attempt
Add a ColumnDataSource for the peak annotations and wire up a HoverTool showing name and elevation — this is Bokeh's defining feature and its absence is the main Library Mastery gap. For the focal point story: give the Matterhorn a visually distinct treatment (different color leader/dot, not just bold text) so it reads as the anchor even though it is not the tallest peak. Consider a sky gradient (LinearColorMapper patch from ~4500 m to 5400 m) in dusk or alpine-blue tones to give the panorama a photographic atmosphere.
Light render (plot-light.png): The plot shows a panoramic mountain silhouette on a warm off-white #FAF8F1 background. The ridgeline is filled solid with brand green #009E73 from elevation 2500m up to each peak. Sixteen peaks are annotated in three staggered vertical tiers (roughly 4880m, 5040m, and 5200m label heights), each with a thin gray leader line from the summit to its label block showing peak name (dark ink) and elevation in meters (softer ink). The Matterhorn stands out with bold typography and a larger black summit dot. The y-axis ("Elevation (m)") is clearly labeled from 2500 to 5000m with subtle horizontal grid lines at 500m intervals. The x-axis is intentionally hidden. Title "Wallis 4000ers · area-mountain-panorama · bokeh · anyplot.ai" is centered at top in dark text. All text is clearly readable against the light background. No dark-on-light failures.
Dark render (plot-dark.png): The same panorama on a warm near-black #1A1A17 background. The mountain silhouette remains identical brand green #009E73 — data color unchanged from the light render. Peak labels render in light cream/off-white text (INK_SOFT token), leader lines appear as light gray verticals, and the y-axis text is light-colored throughout. The Matterhorn's summit dot flips to a light/cream fill (INK token = #F0EFE8 in dark theme), making it a white circle on the dark background — clearly visible. The title and all axis labels render in light ink against the dark background. Grid lines are subtle and visible. All text is readable against the dark background. No dark-on-dark failures detected.
Both paragraphs confirmed. Both renders pass the legibility check.
Score: 84/100
Category
Score
Max
Visual Quality
27
30
Design Excellence
12
20
Spec Compliance
14
15
Data Quality
14
15
Code Quality
10
10
Library Mastery
7
10
Total
84
100
Visual Quality (27/30)
VQ-01: Text Legibility (7/8) — All sizes explicitly set (title 36pt, y-axis label 24pt, ticks 20pt, peak labels 20–24pt). Both renders fully legible. Minor: peak elevation sub-labels at 18pt are the smallest element but still readable.
VQ-02: No Overlap (5/6) — Three-tier staggered labels avoid most collisions. Slight crowding in the denser middle section (Castor/Liskamm/Pollux zone) but no unreadable text.
VQ-03: Element Visibility (6/6) — Silhouette fills the panoramic space clearly, summit dots are sized appropriately (16–26px), leader lines visible in both themes.
VQ-04: Color Accessibility (2/2) — Brand green #009E73 is CVD-safe and has strong contrast on both #FAF8F1 and #1A1A17 backgrounds.
VQ-05: Layout & Canvas (3/4) — Wide 16:9 panoramic format is ideal for this spec. A tall blank band exists between the topmost label tier (~5200m) and the chart top boundary (5400m), slightly wasting the upper canvas.
VQ-06: Axis Labels & Title (2/2) — Y-axis "Elevation (m)" with units; x-axis intentionally hidden per spec.
VQ-07: Palette Compliance (2/2) — First (and only) series uses #009E73. Light background #FAF8F1, dark background #1A1A17. All chrome tokens flip correctly between themes.
Design Excellence (12/20)
DE-01: Aesthetic Sophistication (5/8) — Thoughtful design: cosine-smoothed ridgeline, three-tier staggered label system, Matterhorn focal emphasis via bold weight and larger summit dot. The brand-green silhouette is clean and distinctive. However, the "sky" zone above the ridgeline is completely bare — the spec mentions an optional sky gradient (light blue→white or dusk orange→deep blue) that would transform this from a data chart into a genuine panorama illustration. Its absence leaves the composition feeling like a styled chart rather than an alpine infographic.
DE-02: Visual Refinement (4/6) — All plot borders removed (outline_line_color=None), x-axis hidden, minor ticks suppressed, y-grid at alpha=0.10 (very subtle). Clean finish. Could further refine: the label zone's tall empty gap above the peaks feels unintentional.
DE-03: Data Storytelling (3/6) — Matterhorn emphasis via bold text and larger dot is intentional storytelling. However, the Dufourspitze (4634m) and Dom (4545m) rise visibly higher in the silhouette profile than the Matterhorn (4478m), visually contradicting its role as the focal peak. The narrative emphasis in text isn't reinforced by the silhouette shape.
Spec Compliance (14/15)
SC-01: Plot Type (5/5) — Correct panoramic area/patch silhouette chart.
SC-02: Required Features (3/4) — Peak annotations with name + elevation ✓, thin leader lines ✓, staggered label positions ✓, y-axis 2500m lower bound ✓, wide aspect ratio ✓, Matterhorn focal emphasis (label style) ✓. The spec calls for "a dark solid color" fill for the "evening/dusk" silhouette feel — the brand-green fill is palette-correct but sacrifices this atmospheric intent.
SC-03: Data Mapping (3/3) — All 16 Wallis 4000ers mapped correctly, angle on X, elevation on Y.
SC-04: Title & Legend (3/3) — Title "Wallis 4000ers · area-mountain-panorama · bokeh · anyplot.ai" ✓. No legend (appropriate for single series).
Data Quality (14/15)
DQ-01: Feature Coverage (5/6) — Shows ridgeline profile, all labeled peaks, leader lines, summit dots, staggered multi-tier labels, focal peak distinction. All major features demonstrated.
DQ-02: Realistic Context (5/5) — Authentic Wallis/Valais Swiss 4000m peaks with accurate elevations (Dufourspitze 4634m, Liskamm 4527m, Dom 4545m, etc.). Excellent real-world geographic context.
DQ-03: Appropriate Scale (4/4) — Y range 2500–5400m and angular spread 0–180° are realistic for a Wallis panorama.
Code Quality (10/10)
CQ-01: KISS Structure (3/3) — Linear structure: imports → theme tokens → data → ridgeline interpolation → plot → labels → typography → save. No functions or classes.
CQ-02: Reproducibility (2/2) — np.random.seed(42) set before random col placement.
CQ-03: Clean Imports (2/2) — All five imports used: os, numpy, bokeh.io, bokeh.models (FixedTicker, Label), bokeh.plotting.
CQ-04: Code Elegance (2/2) — Cosine smoothstep interpolation is elegant. Leader line/label loop is clean and DRY. Appropriate complexity.
LM-01: Idiomatic Usage (4/5) — Uses figure(), patch(), line(), scatter(), Label model via p.add_layout(), FixedTicker — all idiomatic Bokeh patterns. HTML + PNG export idiomatically handled.
LM-02: Distinctive Features (3/5) — Uses Bokeh's Label model for structured text annotations and FixedTicker for custom y-axis ticks. HTML export via output_file + save is Bokeh-specific. Missing: HoverTool on peaks (name + elevation on hover) would be highly distinctive and valuable in the interactive HTML version.
Score Caps Applied
None — no caps triggered.
Strengths
Authentic Wallis/Valais geographic data with accurate elevations for all 16 labeled peaks
Elegant cosine smoothstep interpolation produces a natural, non-mechanical ridgeline curve
Both light and dark renders pass full legibility checks with zero dark-on-dark or light-on-light failures
Three-tier staggered label system cleanly avoids annotation collisions despite 16 labeled peaks
Weaknesses
No sky gradient above the ridgeline — the spec's "evening/dusk feel" is not achieved; adding a subtle gradient (e.g., pale blue or dusk-orange LinearColorMapper above the ridge) would be the single biggest visual improvement
Matterhorn (4478m) is not the tallest silhouette peak — Dufourspitze (4634m) and Dom (4545m) visually dominate the profile, contradicting the Matterhorn's role as focal point
No HoverTool in the Bokeh HTML output — missed opportunity for the library's most distinctive interactive feature
Tall blank gap between top label tier (~5200m) and plot upper boundary (5400m) wastes canvas space
Fix: Add a light-to-color linear gradient fill above the ridgeline (e.g., a pale blue-to-background sweep) to create the panoramic atmosphere described in the spec
DE-03: Matterhorn not visually dominant in the silhouette profile
Fix: Consider adding a subtle color gradient to the silhouette fill that increases intensity near the Matterhorn, or use a secondary highlight line at its summit
LM-02: No interactive HoverTool
Fix: Add HoverTool to the scatter summit dots showing peak name and elevation in the HTML export
AI Feedback for Next Attempt
Add a sky gradient above the ridgeline using Bokeh's LinearColorMapper or stacked transparent patch() bands (pale blue → background color) to achieve the "evening/dusk feel" specified. Add a HoverTool on summit dots for the HTML interactive version — this is Bokeh's most distinctive feature for this plot type. To reinforce the Matterhorn as focal point without changing the data, consider a subtle color/alpha variation on the silhouette (e.g., a brighter highlight band at the Matterhorn's x-position) or a small arrow annotation. Tighten the y-range upper bound closer to the top label tier to reduce wasted canvas space above the labels.
Light render (plot-light.png): The plot renders on a warm off-white outer border (#FAF8F1) with a light blue gradient sky in the plot area — this photographic sky-gradient is spec-endorsed ("Optional sky-gradient background above the ridgeline"). The brand green (#009E73) mountain silhouette fills the lower portion from ~2500 m up through the 16 Wallis peaks. A golden sun-glow appears near the Matterhorn summit, reinforcing it as the focal point. Three staggered label tiers sit above the ridgeline: each peak has a leader line rising to a name (20–24 pt) over an elevation string (18 pt). The title "Wallis 4000ers · area-mountain-panorama · bokeh · anyplot.ai" is bold and centered at 36 pt. Y-axis tick labels (2500–5000 m) are readable in INK_SOFT. All text is readable against the light background. Legibility verdict: PASS
Dark render (plot-dark.png): The outer border is near-black (#1A1A17) with a dark navy gradient sky in the plot area. The mountain silhouette remains the same brand green — data colors are identical to the light render as required. The Matterhorn shows a blue-white halo glow in dark mode. Title, y-axis labels, and all 16 peak annotation texts switch to light-colored chrome (INK/INK_SOFT dark-mode tokens), making them clearly readable against the dark background. No dark-on-dark failures detected. Legibility verdict: PASS
Score: 86/100
Category
Score
Max
Visual Quality
25
30
Design Excellence
14
20
Spec Compliance
15
15
Data Quality
15
15
Code Quality
10
10
Library Mastery
7
10
Total
86
100
Visual Quality (25/30)
VQ-01: Text Legibility (7/8) — All font sizes explicitly set: title 36 pt, y-axis label 24 pt, major y-ticks 20 pt, peak names 20–24 pt, elevations 18 pt. Readable in both renders. Minor: annotation labels are tight in the central peak cluster at full resolution.
VQ-02: No Overlap (5/6) — Three-tier stagger (LEVEL_TIERS=[4880, 5040, 5200]) eliminates most collisions; some crowding in the Breithorn/Pollux/Castor cluster but readable.
VQ-03: Element Visibility (5/6) — Mountain silhouette is dominant and clear. Summit dots at 16 px (non-focal) and 26 px (Matterhorn) are just visible at 4800×2700; a couple of pixels larger for non-focal dots would improve clarity.
VQ-04: Color Accessibility (2/2) — Brand green on both surfaces has sufficient luminance contrast; no red-green-only encoding.
VQ-05: Layout & Canvas (3/4) — Wide 16:9 landscape fits the panorama concept well. Label tiers use upper canvas space efficiently; very slight crowding where labels push toward the top margin.
VQ-06: Axis Labels & Title (2/2) — Y-axis: "Elevation (m)" with sensible 500 m tick intervals; title includes spec-id, library, and anyplot.ai.
VQ-07: Palette Compliance (1/2) — First (and only) categorical series is #009E73 ✓. Plot background in rendered images shows a gradient sky rather than the exact #FAF8F1/#1A1A17 surfaces specified by the style guide. Theme chrome otherwise adapts correctly between renders.
Design Excellence (14/20)
DE-01: Aesthetic Sophistication (6/8) — Clearly above defaults: photographic sky gradient, sun/moon glow focal effect at Matterhorn, brand green silhouette, intentional label hierarchy with bold/normal type weights. Not quite Nature-figure level (8), but well-crafted.
DE-02: Visual Refinement (4/6) — Y-only grid at 10% alpha, x-axis hidden for a clean panoramic look, no outer frame (outline_line_color=None). Good attention to detail.
DE-03: Data Storytelling (4/6) — Matterhorn is clearly the focal point (bold, larger dot, glow effect, thicker leader line). Three-tier label cadence creates visual rhythm. The sun/moon glow reinforces alpine drama. Viewer guidance is clear but could be strengthened further (e.g., a subtle annotation calling out the Matterhorn as the reference peak).
Spec Compliance (15/15)
SC-01: Plot Type (5/5) — Correct panoramic area/silhouette chart type.
SC-02: Required Features (4/4) — Filled area below ridgeline ✓, peak name + elevation annotations ✓, thin leader lines ✓, staggered vertical positions ✓, Matterhorn as focal peak ✓, Y-axis in metres with sensible floor (2500 m) ✓, wide aspect ratio ✓.
SC-03: Data Mapping (3/3) — X = compass bearing / horizontal angle (−3 to 184°), Y = elevation (m). All 16 peaks correctly positioned.
SC-04: Title & Legend (3/3) — Title: "Wallis 4000ers · area-mountain-panorama · bokeh · anyplot.ai" contains spec-id, library, and anyplot.ai. Single-series plot; no legend needed.
Data Quality (15/15)
DQ-01: Feature Coverage (6/6) — 16 Wallis 4000ers spanning a full W→E bearing sweep; ridgeline varies from ~3250 m saddles to 4634 m (Dufourspitze). All aspects of the panorama type are shown.
DQ-02: Realistic Context (5/5) — Real Swiss Alpine peaks with authentic elevations (Matterhorn 4478 m, Dufourspitze 4634 m, Weisshorn 4506 m, etc.). Geographically coherent, neutral topic.
DQ-03: Appropriate Scale (4/4) — Y-range 2500–5400 m and bearing range 0–184° are realistic for a Valais panorama. Saddle drops of 420–820 m are plausible.
Code Quality (10/10)
CQ-01: KISS Structure (3/3) — Linear flat script: imports → theme tokens → data → ridgeline generation → figure → labels → typography → save.
CQ-02: Reproducibility (2/2) — np.random.seed(42) set before stochastic saddle generation.
CQ-03: Clean Imports (2/2) — Only used imports: os, numpy, bokeh.io, bokeh.models.FixedTicker, bokeh.models.Label, bokeh.plotting.figure.
CQ-04: Code Elegance (2/2) — Pythonic, appropriate complexity. Cosine smoothstep interpolation is compact and readable.
CQ-05: Output & API (1/1) — Saves plot-{THEME}.png via export_png and plot-{THEME}.html via output_file+save. Correct Bokeh 3.x API.
Library Mastery (7/10)
LM-01: Idiomatic Usage (4/5) — Uses p.patch() for area fill, p.line() for leader lines, p.scatter() for summit dots, Bokeh Label model for positioned text annotations, FixedTicker for custom Y-axis ticks. Both export_png and output_file+save used correctly.
LM-02: Distinctive Features (3/5) — Label model (Bokeh's annotation positioning system), FixedTicker (Bokeh-specific tick control), dual PNG+HTML export. These are meaningfully Bokeh-specific features.
Score Caps Applied
None
Strengths
Beautiful panoramic composition with photographic sky gradient and Matterhorn focal glow effect
Perfect spec compliance: all 16 Wallis 4000ers correctly labeled with staggered three-tier layout
Authentic Swiss Alpine data with geographically realistic elevations and saddle depths
Weaknesses
Plot background in rendered images shows sky gradient instead of exact #FAF8F1/#1A1A17 surfaces (VQ-07 partial)
Non-focal summit dots (16 px) are slightly small at 4800×2700; 20 px would improve readability
Central peak cluster (Breithorn/Pollux/Castor/Liskamm) has slight label crowding in the middle tier
Matterhorn focal emphasis could be further strengthened (e.g., a small annotation noting it as the reference peak)
Issues Found
VQ-07 PARTIAL: Background renders as sky gradient rather than #FAF8F1/#1A1A17
Fix: Ensure background_fill_color=PAGE_BG is applied correctly and no external gradient overrides it; if intentional sky gradient is desired, implement it as a LinearColorMapper-based patch overlay rather than overriding the plot canvas background
VQ-03 MINOR: Non-focal summit dots at 16 px are small for 4800×2700 canvas
Fix: Increase non-focal dot size from 16 to 20–22 px
AI Feedback for Next Attempt
Implementation is strong overall. Two things to address: (1) Ensure plot backgrounds are exactly #FAF8F1 (light) / #1A1A17 (dark) — if you want a sky gradient, paint it as a p.patch() overlay on the background rather than through background_fill_color. (2) Increase non-focal summit dot size from 16 to 20–22 px for better visibility at full resolution.
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area-mountain-panorama- python/bokehImplements the python/bokeh version of
area-mountain-panorama.File:
plots/area-mountain-panorama/implementations/python/bokeh.pyParent Issue: #5365
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