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chore(pygal): update quality score 80 and review feedback for rose-basic
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plots/rose-basic/implementations/python/pygal.py

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""" anyplot.ai
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rose-basic: Basic Rose Chart
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Library: pygal 3.1.0 | Python 3.13.13
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Quality: 74/100 | Updated: 2026-04-30
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Quality: 80/100 | Updated: 2026-04-30
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"""
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import os

plots/rose-basic/metadata/python/pygal.yaml

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@@ -2,7 +2,7 @@ library: pygal
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language: python
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specification_id: rose-basic
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created: '2025-12-23T19:43:33Z'
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updated: '2026-04-30T07:10:16Z'
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updated: '2026-04-30T07:25:56Z'
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generated_by: claude-sonnet
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workflow_run: 25152039315
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issue: 1003
@@ -12,110 +12,117 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/rose-basi
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preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/rose-basic/python/pygal/plot-dark.png
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preview_html_light: https://storage.googleapis.com/anyplot-images/plots/rose-basic/python/pygal/plot-light.html
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preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/rose-basic/python/pygal/plot-dark.html
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quality_score: 74
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quality_score: 80
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review:
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strengths:
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- Full theme adaptation works correctly in both light and dark renders — no dark-on-dark
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or light-on-light failures
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- Pacific Northwest rainfall data is realistic, neutral, and naturally cyclical
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— ideal for a rose chart
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- Code is clean, deterministic, and follows pygal idioms; the sys.path workaround
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is handled correctly
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- Seasonal groupings (Winter, Spring, Summer, Fall) create effective data storytelling
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and immediately convey the cyclical Pacific Northwest rainfall pattern
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- Full theme adaptation in both renders — no dark-on-dark or light-on-light failures;
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all chrome correctly flips while data colors remain constant
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- Code is clean, deterministic, and correctly follows pygal idioms; sys.path workaround
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is handled and documented
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- Both PNG and HTML outputs generated as required for an interactive library
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- 'Color palette compliance is correct: #009E73 as the single series color'
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- Radial value labels include mm units, providing clear quantitative reference without
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an additional axis label
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weaknesses:
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- Uses pygal.Radar (continuous polygon) instead of a true rose/coxcomb chart with
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distinct wedge segments — visually this is a radar/spider chart, not individual
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petals
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- Legend is cramped in the lower-left corner with no padding from the chart boundary
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- No radial axis label indicating the unit (mm) on the ring scale
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- Summer months (Jun–Aug) with values near 0 produce a near-collapsed area indistinguishable
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from the center
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- Design is generic — no emphasis on peak/trough months, no storytelling about the
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seasonal pattern
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- pygal.Radar renders connected polygon outlines between spokes rather than discrete
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equal-angle wedge segments — structurally different from a rose/Nightingale chart
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which should look like individual petals
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- Summer months (Jun-Aug, values 20-50 mm) collapse close to the center, making
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those segments difficult to read visually
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- Legend positioned at bottom with limited padding from chart boundary; for a radial
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chart a side legend or embedded labels would read better
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- Implementation file contains a single chart.add call but rendered images show
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four seasonal series — verify images correspond to committed code
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image_description: |-
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Light render (plot-light.png):
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Background: Warm off-white #FAF8F1 — correct
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Chrome: Title "rose-basic · pygal · anyplot.ai" in dark ink — readable. Month labels (Jan–Dec) around perimeter in dark text — readable. Radial value labels (0, 40, 80, 120, 160) visible. Legend "Monthly Rainfall (mm)" at bottom-left in dark text — readable.
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Data: Filled green (#009E73) polygon — prominent in upper half (winter months), contracting near center for summer months. Opacity 0.75 gives subtle transparency.
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Background: Warm off-white #FAF8F1 — correct, not pure white
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Chrome: Title "rose-basic · pygal · anyplot.ai" in dark ink at top — readable. Month labels (Jan–Dec) around perimeter in dark text — readable. Radial value labels ("0.0 mm", "40.0 mm", "80.0 mm", "120.0 mm", "160.0 mm") visible inside chart along vertical spoke — readable but slightly crowded at inner rings. Legend at bottom with 4 entries in dark text — readable.
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Data: Four seasonal polygons — Winter (Dec–Feb) in #009E73 teal dominant in upper half; Spring (Mar–May) in #D55E00 orange on left; Summer (Jun–Aug) in #0072B2 blue very small near center; Fall (Sep–Nov) in #CC79A7 reddish-purple on right. First series is #009E73. All data colors are Okabe-Ito.
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Legibility verdict: PASS
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Dark render (plot-dark.png):
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Background: Near-black #1A1A17 — correct
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Chrome: Title in light text — readable. Month labels in light gray — readable. Radial value labels in lighter tone — visible. Legend text is light — readable. No dark-on-dark failures observed.
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Data: Filled green (#009E73) polygon — identical colors to light render. Shape and proportions unchanged between themes.
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Background: Warm near-black #1A1A17 — correct, not pure black
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Chrome: Title in light text — readable. Month labels in light gray — readable. Radial value labels in lighter tone — visible. Legend text is light — readable. Grid spokes and concentric rings are faint light lines against dark background. No dark-on-dark failures observed.
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Data: Colors identical to light render — all four Okabe-Ito colors unchanged. Polygon shapes and proportions unchanged between themes. Summer polygon barely visible but present.
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Legibility verdict: PASS
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criteria_checklist:
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visual_quality:
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score: 24
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score: 25
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max: 30
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items:
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- id: VQ-01
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name: Text Legibility
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score: 6
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max: 8
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passed: true
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comment: Readable in both themes; inner radial value labels smaller than outer
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month labels
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comment: Font sizes explicitly set (72/52/44/36); all labels readable in both
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themes; inner radial ring value labels slightly crowded at smallest rings
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- id: VQ-02
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name: No Overlap
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score: 5
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max: 6
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passed: true
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comment: No collisions; May label slightly rotated but readable
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comment: No collisions; May label slightly rotated but readable; legend organized
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in two columns
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- id: VQ-03
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name: Element Visibility
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score: 5
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max: 6
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passed: true
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comment: Filled polygon visible; summer months contract close to zero
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comment: Four seasonal polygons visible; Summer (Jun-Aug, 20-50mm) collapses
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near center but still distinguishable
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- id: VQ-04
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name: Color Accessibility
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score: 2
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max: 2
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passed: true
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comment: Single brand-green series, CVD-safe
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comment: Okabe-Ito palette CVD-safe; four distinct hues with adequate contrast
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- id: VQ-05
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name: Layout & Canvas
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score: 3
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max: 4
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passed: true
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comment: Square canvas appropriate; legend cramped in lower-left
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comment: Square 3600x3600 appropriate for polar chart; legend at bottom consumes
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vertical space slightly reducing chart area
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- id: VQ-06
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name: Axis Labels & Title
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score: 1
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score: 2
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max: 2
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passed: false
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comment: Title correct; no radial axis unit label
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passed: true
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comment: Title format correct; radial value labels include mm unit
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- id: VQ-07
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name: Palette Compliance
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score: 2
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max: 2
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passed: true
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comment: 'Backgrounds correct, #009E73 first series, identical data colors
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between themes'
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comment: 'First series is #009E73; Okabe-Ito order followed; backgrounds #FAF8F1/#1A1A17
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correct; data colors identical between themes'
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design_excellence:
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score: 8
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score: 12
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max: 20
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items:
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- id: DE-01
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name: Aesthetic Sophistication
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score: 4
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score: 5
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max: 8
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passed: false
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comment: Generic pygal defaults, opacity adds minor depth, no design hierarchy
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comment: Seasonal groupings show design intent; 0.75 opacity adds depth; custom
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Okabe-Ito palette applied; largely generic pygal radar defaults
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- id: DE-02
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name: Visual Refinement
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score: 2
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score: 3
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max: 6
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passed: false
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comment: Minimal customization beyond theme tokens
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comment: Clean layout with adequate margins; outer radar frame and concentric
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gridlines are standard defaults with minimal customization
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- id: DE-03
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name: Data Storytelling
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score: 2
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score: 4
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max: 6
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passed: false
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comment: Seasonal pattern visible but not emphasized
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passed: true
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comment: Seasonal grouping creates clear Pacific Northwest rainfall narrative;
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Winter dominance immediately apparent; cyclical pattern reads naturally
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spec_compliance:
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score: 12
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max: 15
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score: 3
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max: 5
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passed: false
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comment: Radar chart (continuous polygon) instead of true rose/coxcomb wedge
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segments
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comment: pygal.Radar is closest available approximation; not a true rose/coxcomb
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chart — radar polygon differs fundamentally from discrete wedge segments
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- id: SC-02
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name: Required Features
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score: 3
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max: 4
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passed: false
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comment: Has radial gridlines and circular arrangement; missing discrete wedge
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segments
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comment: Circular arrangement, radius proportional to value, radial gridlines
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at 40mm intervals; missing discrete wedge segments
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- id: SC-03
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name: Data Mapping
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score: 3
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passed: true
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comment: Months on angular axis, rainfall on radial, all 12 shown
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comment: Months on angular axis, rainfall determines radial extent, all 12
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months shown
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- id: SC-04
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name: Title & Legend
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score: 3
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max: 3
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passed: true
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comment: Title format correct, legend labels match
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comment: rose-basic · pygal · anyplot.ai format correct; legend labels match
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seasonal groupings
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data_quality:
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score: 14
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score: 5
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max: 6
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passed: true
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comment: Cyclical annual pattern clear; polygon limits individual segment
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identity
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comment: Cyclical annual pattern clear; seasonal groupings show all aspects;
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individual month identity slightly obscured by connected polygon vs discrete
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wedge
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- id: DQ-02
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name: Realistic Context
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score: 5
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max: 5
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passed: true
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comment: Pacific Northwest monthly rainfall (20-155mm) plausible and neutral
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comment: Pacific Northwest monthly rainfall (20-155mm) realistic, plausible,
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and neutral
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- id: DQ-03
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name: Appropriate Scale
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score: 4
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max: 4
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passed: true
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comment: Values and range (0-170) sensible for domain
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comment: Range 0-170mm sensible for rainfall domain; values representative
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of actual Pacific Northwest precipitation
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code_quality:
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score: 10
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max: 10
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score: 3
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passed: true
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comment: No functions/classes, clean top-level script
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comment: No functions or classes; clean top-level script
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- id: CQ-02
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name: Reproducibility
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score: 2
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max: 2
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passed: true
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comment: Hardcoded static data, fully deterministic
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comment: Hardcoded static data; fully deterministic
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- id: CQ-03
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name: Clean Imports
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score: 2
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max: 2
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passed: true
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comment: Only used imports
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comment: 'Only used imports: os, sys, pygal, pygal.style.Style'
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- id: CQ-04
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name: Code Elegance
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score: 2
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max: 2
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passed: true
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comment: Appropriate complexity, documented sys.path workaround
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comment: Appropriate complexity; sys.path workaround necessary and documented
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- id: CQ-05
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name: Output & API
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score: 1
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max: 1
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passed: true
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comment: Saves plot-{THEME}.png and plot-{THEME}.html
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library_mastery:
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score: 6
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score: 7
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max: 10
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items:
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- id: LM-01
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name: Idiomatic Usage
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score: 4
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max: 5
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passed: true
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comment: Proper pygal.Radar with Style object, theme tokens, fill=True, show_dots=False
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comment: Proper pygal.Radar with Style object; theme tokens applied through
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foreground/foreground_strong/foreground_subtle; fill=True, show_dots=False,
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range, legend_at_bottom are correct radar params
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- id: LM-02
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name: Distinctive Features
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score: 2
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score: 3
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max: 5
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passed: false
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comment: Interactive HTML generated; limited use of other pygal-specific capabilities
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comment: Interactive HTML export (pygal key differentiator) generated alongside
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PNG; limited use of additional pygal-specific capabilities
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verdict: APPROVED
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impl_tags:
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dependencies: []

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