From 8a9dc87065c35f9c0f33658230f85bae75a72f9c Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 24 Jul 2026 06:50:31 +0000 Subject: [PATCH 1/7] feat(seaborn): implement qq-basic Regen from quality 88. Addressed: - Canvas drift: figsize was (16,9) @ dpi=300 with bbox_inches="tight" (~4800x2700 minus crop), way off the 3200x1800 target. Switched to canonical figsize=(8,4.5), dpi=400, dropped bbox_inches="tight". - DE-01 (no confidence band/annotations): replaced the bare y=x dashed line with a simulation-based 95% percentile envelope (300 replicate normal samples of the same size), giving the reference guide real statistical depth. - LM-02 (seaborn features underused): the envelope is drawn via sns.lineplot's built-in errorbar=("pi", 95) bootstrap/percentile-interval estimation over a long-form DataFrame, a genuine seaborn statistical layer rather than a plain matplotlib ax.plot line. - VQ-02 (dense central overlap): reduced marker size s=200->120, alpha 0.7->0.75, edge linewidth 0.5->0.8 for better separation. - Rescaled all text to the library prompt's canonical sizing for the new canvas (title 12pt, axis labels 10pt, ticks/legend 8pt). Kept: bimodal mixture data scenario, Abramowitz & Stegun quantile approximation (no scipy dependency), theme-adaptive chrome tokens, brand green first series. --- .../implementations/python/seaborn.py | 66 +++++++++++++------ 1 file changed, 47 insertions(+), 19 deletions(-) diff --git a/plots/qq-basic/implementations/python/seaborn.py b/plots/qq-basic/implementations/python/seaborn.py index 6b1a02d43f..545d485b2f 100644 --- a/plots/qq-basic/implementations/python/seaborn.py +++ b/plots/qq-basic/implementations/python/seaborn.py @@ -1,13 +1,14 @@ -""" anyplot.ai +"""anyplot.ai qq-basic: Basic Q-Q Plot -Library: seaborn 0.13.2 | Python 3.14.4 -Quality: 88/100 | Updated: 2026-04-27 +Library: seaborn 0.13.2 | Python 3.13.12 +Quality: 88/100 | Updated: 2026-07-24 """ import os import matplotlib.pyplot as plt import numpy as np +import pandas as pd import seaborn as sns @@ -17,7 +18,7 @@ ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420" INK = "#1A1A17" if THEME == "light" else "#F0EFE8" INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0" -BRAND = "#009E73" # Okabe-Ito position 1 +BRAND = "#009E73" # Imprint palette position 1 sns.set_theme( style="ticks", @@ -37,8 +38,8 @@ ) # Data - mixture distribution with right-skewed tail to demonstrate Q-Q deviation -np.random.seed(42) -sample = np.concatenate([np.random.normal(loc=50, scale=10, size=180), np.random.normal(loc=75, scale=5, size=20)]) +rng = np.random.default_rng(42) +sample = np.concatenate([rng.normal(loc=50, scale=10, size=180), rng.normal(loc=75, scale=5, size=20)]) n = len(sample) # Theoretical quantiles via Abramowitz & Stegun 26.2.17 rational approximation @@ -49,25 +50,52 @@ theoretical_q = np.where(p < 0.5, -(t - num / den), t - num / den) sample_q = np.sort((sample - sample.mean()) / sample.std(ddof=1)) +# Simulation envelope: draw many perfectly-normal replicates of size n and let +# seaborn's lineplot bootstrap a 95% percentile interval around their order +# statistics. This gives the reference guide real statistical depth (the +# natural sampling variability a truly normal sample would show) instead of a +# bare y=x line, and leverages seaborn's own error-bar estimation. +n_replicates = 300 +replicates = np.sort(rng.standard_normal(size=(n_replicates, n)), axis=1) +envelope_df = pd.DataFrame({"theoretical": np.tile(theoretical_q, n_replicates), "simulated": replicates.ravel()}) + # Plot -fig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG) +fig, ax = plt.subplots(figsize=(8, 4.5), dpi=400, facecolor=PAGE_BG) ax.set_facecolor(PAGE_BG) -sns.scatterplot(x=theoretical_q, y=sample_q, ax=ax, s=200, color=BRAND, alpha=0.7, edgecolor=PAGE_BG, linewidth=0.5) +sns.lineplot( + data=envelope_df, + x="theoretical", + y="simulated", + ax=ax, + estimator="mean", + errorbar=("pi", 95), + color=INK_SOFT, + linewidth=1.5, + linestyle="--", + label="Normal reference (95% envelope)", + zorder=1, +) -# Reference line (y=x for perfect normal distribution) -q_min = min(theoretical_q.min(), sample_q.min()) -q_max = max(theoretical_q.max(), sample_q.max()) -ax.plot( - [q_min, q_max], [q_min, q_max], color=INK_SOFT, linewidth=2.5, linestyle="--", label="Reference (y=x)", zorder=1 +sns.scatterplot( + x=theoretical_q, + y=sample_q, + ax=ax, + s=120, + color=BRAND, + alpha=0.75, + edgecolor=PAGE_BG, + linewidth=0.8, + label="Sample quantiles", + zorder=2, ) # Style -ax.set_xlabel("Theoretical Quantiles", fontsize=20, color=INK) -ax.set_ylabel("Sample Quantiles", fontsize=20, color=INK) -ax.set_title("qq-basic · seaborn · anyplot.ai", fontsize=24, fontweight="medium", color=INK) -ax.tick_params(axis="both", labelsize=16, colors=INK_SOFT) -ax.legend(fontsize=16, loc="upper left") +ax.set_xlabel("Theoretical Quantiles", fontsize=10, color=INK) +ax.set_ylabel("Sample Quantiles", fontsize=10, color=INK) +ax.set_title("qq-basic · seaborn · anyplot.ai", fontsize=12, fontweight="medium", color=INK) +ax.tick_params(axis="both", labelsize=8, colors=INK_SOFT) +ax.legend(fontsize=8, loc="upper left") ax.spines["top"].set_visible(False) ax.spines["right"].set_visible(False) for s in ("left", "bottom"): @@ -75,4 +103,4 @@ ax.grid(True, alpha=0.10, linewidth=0.8, color=INK) plt.tight_layout() -plt.savefig(f"plot-{THEME}.png", dpi=300, bbox_inches="tight", facecolor=PAGE_BG) +plt.savefig(f"plot-{THEME}.png", dpi=400, facecolor=PAGE_BG) From f29eef4245a68b24688ab8c2fd82ef5096eb0d91 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 24 Jul 2026 06:50:43 +0000 Subject: [PATCH 2/7] chore(seaborn): add metadata for qq-basic --- plots/qq-basic/metadata/python/seaborn.yaml | 234 +------------------- 1 file changed, 9 insertions(+), 225 deletions(-) diff --git a/plots/qq-basic/metadata/python/seaborn.yaml b/plots/qq-basic/metadata/python/seaborn.yaml index 3c39446e87..fd2bdd9ea0 100644 --- a/plots/qq-basic/metadata/python/seaborn.yaml +++ b/plots/qq-basic/metadata/python/seaborn.yaml @@ -1,237 +1,21 @@ +# Per-library metadata for seaborn implementation of qq-basic +# Auto-generated by impl-generate.yml + library: seaborn language: python specification_id: qq-basic created: '2025-12-23T18:12:43Z' -updated: '2026-04-27T05:21:34Z' +updated: '2026-07-24T06:50:41Z' generated_by: claude-sonnet -workflow_run: 24977632424 +workflow_run: 30073267766 issue: 977 -python_version: 3.14.4 +language_version: 3.13.14 library_version: 0.13.2 preview_url_light: https://storage.googleapis.com/anyplot-images/plots/qq-basic/python/seaborn/plot-light.png preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/qq-basic/python/seaborn/plot-dark.png preview_html_light: null preview_html_dark: null -quality_score: 88 +quality_score: null review: - strengths: - - 'Perfect spec compliance: correct plot type, all required features, proper axis - labels, correct title format' - - 'Data storytelling: bimodal mixture data produces characteristic QQ deviations - that clearly demonstrate the diagnostic value of the chart' - - 'Full theme adaptation: all chrome elements use adaptive tokens; both renders - pass legibility checks' - - 'Zero external dependencies: Abramowitz and Stegun quantile approximation keeps - the implementation self-contained' - weaknesses: - - 'DE-01 moderate: No confidence band or annotations to add statistical depth and - visual richness' - - 'LM-02 low: Seaborn distinctive features (statistical layers, CI bands, FacetGrid) - are not used — implementation is essentially a styled matplotlib scatter with - seaborn theme setup' - - 'VQ-02 minor: Overlap in dense central band could be reduced with slightly larger - edge linewidth or smaller marker size' - image_description: |- - Light render (plot-light.png): - Background: Warm off-white (#FAF8F1) — correct theme surface - Chrome: Title "qq-basic · seaborn · anyplot.ai" in dark ink — readable. Axis labels "Theoretical Quantiles" / "Sample Quantiles" in dark ink — readable. Tick labels in INK_SOFT dark grey — readable. Legend in upper-left with dashed line icon — readable. - Data: Brand green (#009E73) scatter markers at s=200 with alpha=0.7 and PAGE_BG edge color. Dashed reference line (y=x) in INK_SOFT grey. Bimodal mixture produces visible S-curve deviation and lower-left outliers. - Legibility verdict: PASS - - Dark render (plot-dark.png): - Background: Near-black (#1A1A17) — correct dark theme surface - Chrome: Title and all labels rendered in light ink (#F0EFE8 / #B8B7B0) — clearly readable against dark background. No dark-on-dark text failure. Reference line appears as white/light-grey dashed line. - Data: Colors identical to light render — same green (#009E73) markers; only chrome (text, line color) flips to light values. Brand green remains fully visible on dark surface. - Legibility verdict: PASS - criteria_checklist: - visual_quality: - score: 29 - max: 30 - items: - - id: VQ-01 - name: Text Legibility - score: 8 - max: 8 - passed: true - comment: Font sizes explicitly set (title 24pt, labels 20pt, ticks 16pt); - all text readable in both themes - - id: VQ-02 - name: No Overlap - score: 5 - max: 6 - passed: true - comment: Minor clustering in dense central region; alpha=0.7 helps; edge linewidth=0.5 - is minimal - - id: VQ-03 - name: Element Visibility - score: 6 - max: 6 - passed: true - comment: Markers at s=200 clearly visible; reference line distinct - - id: VQ-04 - name: Color Accessibility - score: 2 - max: 2 - passed: true - comment: '#009E73 on both backgrounds is CVD-safe; no red-green sole signal' - - id: VQ-05 - name: Layout & Canvas - score: 4 - max: 4 - passed: true - comment: Good 16:9 proportions; tight_layout prevents clipping - - id: VQ-06 - name: Axis Labels & Title - score: 2 - max: 2 - passed: true - comment: Descriptive axis labels with standard QQ terminology - - id: VQ-07 - name: Palette Compliance - score: 2 - max: 2 - passed: true - comment: 'Single series uses BRAND (#009E73); backgrounds #FAF8F1/#1A1A17; - both renders theme-correct' - design_excellence: - score: 13 - max: 20 - items: - - id: DE-01 - name: Aesthetic Sophistication - score: 5 - max: 8 - passed: true - comment: PAGE_BG edge color creates floating-dot effect; deliberate alpha - blending; consistent theme token usage - - id: DE-02 - name: Visual Refinement - score: 4 - max: 6 - passed: true - comment: Top/right spines removed; grid at alpha=0.10 is subtle; whitespace - adequate - - id: DE-03 - name: Data Storytelling - score: 4 - max: 6 - passed: true - comment: Bimodal mixture data produces characteristic S-curve deviation and - outliers; reference line creates strong visual hierarchy - spec_compliance: - score: 15 - max: 15 - items: - - id: SC-01 - name: Plot Type - score: 5 - max: 5 - passed: true - comment: 'Correct Q-Q plot: sample quantiles vs. theoretical quantiles' - - id: SC-02 - name: Required Features - score: 4 - max: 4 - passed: true - comment: Diagonal reference line present; deviations from line clearly visible; - axes labeled correctly - - id: SC-03 - name: Data Mapping - score: 3 - max: 3 - passed: true - comment: X = Theoretical Quantiles, Y = Sample Quantiles; full range shown - - id: SC-04 - name: Title & Legend - score: 3 - max: 3 - passed: true - comment: Title is 'qq-basic · seaborn · anyplot.ai'; legend labels reference - line - data_quality: - score: 15 - max: 15 - items: - - id: DQ-01 - name: Feature Coverage - score: 6 - max: 6 - passed: true - comment: Shows central quantiles near diagonal, left-tail outliers, right-tail - compression; S-curve deviation pattern visible - - id: DQ-02 - name: Realistic Context - score: 5 - max: 5 - passed: true - comment: Bimodal normal mixture is plausible and domain-neutral - - id: DQ-03 - name: Appropriate Scale - score: 4 - max: 4 - passed: true - comment: 200 observations within spec-recommended 30-500 range; standardized - quantile axes at [-3,3] are appropriate - code_quality: - score: 10 - max: 10 - items: - - id: CQ-01 - name: KISS Structure - score: 3 - max: 3 - passed: true - comment: Flat script, no functions or classes - - id: CQ-02 - name: Reproducibility - score: 2 - max: 2 - passed: true - comment: np.random.seed(42) set - - id: CQ-03 - name: Clean Imports - score: 2 - max: 2 - passed: true - comment: Only os, matplotlib.pyplot, numpy, seaborn imported - - id: CQ-04 - name: Code Elegance - score: 2 - max: 2 - passed: true - comment: Clean code; Abramowitz and Stegun approximation avoids scipy dependency - - id: CQ-05 - name: Output & API - score: 1 - max: 1 - passed: true - comment: Saves as plot-{THEME}.png with correct facecolor - library_mastery: - score: 6 - max: 10 - items: - - id: LM-01 - name: Idiomatic Usage - score: 4 - max: 5 - passed: true - comment: sns.set_theme with rc dict, sns.scatterplot with ax; appropriate - since seaborn has no native QQ plot function - - id: LM-02 - name: Distinctive Features - score: 2 - max: 5 - passed: false - comment: Seaborn statistical/aesthetic features not leveraged; QQ computation - is pure numpy; reference line is matplotlib ax.plot - verdict: APPROVED -impl_tags: - dependencies: [] - techniques: [] - patterns: - - data-generation - - explicit-figure - dataprep: [] - styling: - - alpha-blending - - edge-highlighting + strengths: [] + weaknesses: [] From 2746fbc7386de81c7e238165f780410b93bb3f37 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 24 Jul 2026 06:55:30 +0000 Subject: [PATCH 3/7] chore(seaborn): update quality score 89 and review feedback for qq-basic --- .../implementations/python/seaborn.py | 6 +- plots/qq-basic/metadata/python/seaborn.yaml | 259 +++++++++++++++++- 2 files changed, 255 insertions(+), 10 deletions(-) diff --git a/plots/qq-basic/implementations/python/seaborn.py b/plots/qq-basic/implementations/python/seaborn.py index 545d485b2f..46bc7fed71 100644 --- a/plots/qq-basic/implementations/python/seaborn.py +++ b/plots/qq-basic/implementations/python/seaborn.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai qq-basic: Basic Q-Q Plot -Library: seaborn 0.13.2 | Python 3.13.12 -Quality: 88/100 | Updated: 2026-07-24 +Library: seaborn 0.13.2 | Python 3.13.14 +Quality: 89/100 | Updated: 2026-07-24 """ import os diff --git a/plots/qq-basic/metadata/python/seaborn.yaml b/plots/qq-basic/metadata/python/seaborn.yaml index fd2bdd9ea0..087a19dab5 100644 --- a/plots/qq-basic/metadata/python/seaborn.yaml +++ b/plots/qq-basic/metadata/python/seaborn.yaml @@ -1,11 +1,8 @@ -# Per-library metadata for seaborn implementation of qq-basic -# Auto-generated by impl-generate.yml - library: seaborn language: python specification_id: qq-basic created: '2025-12-23T18:12:43Z' -updated: '2026-07-24T06:50:41Z' +updated: '2026-07-24T06:55:30Z' generated_by: claude-sonnet workflow_run: 30073267766 issue: 977 @@ -15,7 +12,255 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/qq-basic/ preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/qq-basic/python/seaborn/plot-dark.png preview_html_light: null preview_html_dark: null -quality_score: null +quality_score: 89 review: - strengths: [] - weaknesses: [] + strengths: + - 'Genuinely creative reference guide: a 300-replicate 95% simulation envelope built + with sns.lineplot(estimator=''mean'', errorbar=(''pi'', 95)) instead of a bare + y=x line, giving the QQ plot real statistical depth and leaning on seaborn''s + own estimation machinery.' + - 'Correct Imprint palette usage: sample quantiles use brand green #009E73, and + the reference band/line uses the theme-adaptive muted/neutral token in its documented + ''confidence-band fill'' role rather than spending a categorical color on it.' + - Theme-adaptive chrome is threaded consistently through sns.set_theme rc params + — both light and dark renders are fully legible with no dark-on-dark or light-on-light + failures. + - Clean, idiomatic KISS structure (imports -> data -> plot -> save), reproducible + via a seeded np.random.default_rng(42), spines removed, subtle grid. + - Realistic mixture-distribution sample (normal core + right-tail bump) clearly + demonstrates the Q-Q deviation the spec asks for. + weaknesses: + - Title reads 'qq-basic · seaborn · anyplot.ai' — missing the mandated language + segment. Per SC-04 it must be '{spec-id} · {language} · {library} · anyplot.ai', + i.e. 'qq-basic · python · seaborn · anyplot.ai'. Fix the ax.set_title() string. + - Marker size (s=120, alpha=0.75) for a ~200-point scatter is a bit larger than + the density-appropriate 50-100 range for the 100-300 point bucket — reduce slightly + (e.g. s=90) to cut down on marker-to-marker crowding in the dense mid-section. + - Only the upper/right tail visibly strays from the reference envelope; the sample + could show a touch more variety in deviation (e.g. mild left-tail behavior) for + fuller Q-Q feature coverage, though this is a minor polish item, not a correctness + issue. + image_description: |- + Light render (plot-light.png): + Background: Warm off-white, matches #FAF8F1 — not pure white. + Chrome: Title "qq-basic · seaborn · anyplot.ai" in dark ink, clearly legible; axis labels "Theoretical Quantiles" / "Sample Quantiles" in dark ink; tick labels in a softer dark-gray; legend box (cream fill, dark border) in the upper-left reads "Normal reference (95% envelope)" and "Sample quantiles", both fully legible; grid lines are faint and unobtrusive. + Data: Green (#009E73) circular markers trace the sample quantiles against theoretical quantiles from -3 to 3, tracking closely to a dashed gray identity line surrounded by a light-gray 95% simulation-envelope band; the markers curve above the envelope in the upper-right (theoretical quantile > ~1.2), visibly showing the right-tail deviation from normality baked into the sample data. + Legibility verdict: PASS. + + Dark render (plot-dark.png): + Background: Warm near-black, matches #1A1A17 — not pure black. + Chrome: Title, axis labels rendered in light ink (near-white), fully legible against the dark background; tick labels in a lighter gray, also legible; legend box (dark-elevated fill, light border) with light text, no dark-on-dark issues anywhere; grid lines faint but visible. + Data: Same #009E73 green markers as the light render (identical hue, confirming data-color parity across themes), same dashed reference line (now light gray) and simulation envelope (dark gray shading), with the same upper-tail deviation pattern. + Legibility verdict: PASS. + + Both renders are theme-correct and readable; no dark-on-dark or light-on-light failures observed. The title text itself, however, is missing the mandated language segment ("python") in both renders — a Spec Compliance defect, not a legibility one. + criteria_checklist: + visual_quality: + score: 28 + max: 30 + items: + - id: VQ-01 + name: Text Legibility + score: 7 + max: 8 + passed: true + comment: All font sizes explicitly set (title 12pt, labels 10pt, ticks/legend + 8pt); fully readable in both themes. Not a perfect 8 only because the short + (bugged) title leaves the layout slightly imbalanced at the top. + - id: VQ-02 + name: No Overlap + score: 6 + max: 6 + passed: true + comment: No text/marker/legend collisions in either render. + - id: VQ-03 + name: Element Visibility + score: 5 + max: 6 + passed: true + comment: Markers visible and well-chosen overall, but s=120 is slightly above + the 50-100 density guideline for ~200 points, causing minor crowding in + the dense mid-section. + - id: VQ-04 + name: Color Accessibility + score: 2 + max: 2 + passed: true + comment: Green markers vs. gray envelope/line give strong, CVD-safe contrast; + no red-green reliance. + - id: VQ-05 + name: Layout & Canvas + score: 4 + max: 4 + passed: true + comment: Balanced margins, plot area well proportioned, nothing cut off, canvas + gate passed. + - id: VQ-06 + name: Axis Labels & Title + score: 2 + max: 2 + passed: true + comment: '''Theoretical Quantiles'' / ''Sample Quantiles'' are descriptive + per spec.' + - id: VQ-07 + name: Palette Compliance + score: 2 + max: 2 + passed: true + comment: 'First series #009E73; reference band uses the theme-adaptive muted/neutral + anchor in its documented confidence-band role; backgrounds are #FAF8F1/#1A1A17; + chrome theme-correct in both renders.' + design_excellence: + score: 15 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 6 + max: 8 + passed: true + comment: Simulation envelope, correct semantic-anchor usage, and thoughtful + typography put this clearly above library defaults, short of full publication-ready + polish. + - id: DE-02 + name: Visual Refinement + score: 5 + max: 6 + passed: true + comment: Spines removed, grid subtle (10% alpha), generous whitespace; legend + box border keeps it from a perfect score. + - id: DE-03 + name: Data Storytelling + score: 4 + max: 6 + passed: true + comment: Color contrast between markers and envelope creates a clear focal + point on the right-tail deviation; not an 'excellent' full narrative since + only one tail shows deviation. + spec_compliance: + score: 13 + max: 15 + items: + - id: SC-01 + name: Plot Type + score: 5 + max: 5 + passed: true + comment: 'Correct Q-Q plot: theoretical vs. sample quantiles with reference + guide.' + - id: SC-02 + name: Required Features + score: 4 + max: 4 + passed: true + comment: 45-degree reference guide present (as envelope mean line), axis labels + as specified. + - id: SC-03 + name: Data Mapping + score: 3 + max: 3 + passed: true + comment: X = theoretical quantiles, Y = standardized sample quantiles, correctly + assigned. + - id: SC-04 + name: Title & Legend + score: 1 + max: 3 + passed: false + comment: Title is 'qq-basic · seaborn · anyplot.ai' — missing the mandated + language segment ('python'). Legend labels are correct, but the title format + itself is wrong. + data_quality: + score: 14 + max: 15 + items: + - id: DQ-01 + name: Feature Coverage + score: 5 + max: 6 + passed: true + comment: Shows clear right-tail/heavy-tail deviation from normality; left + tail stays close to the envelope so only one deviation mode is demonstrated. + - id: DQ-02 + name: Realistic Context + score: 5 + max: 5 + passed: true + comment: Neutral, plausible measurement-style mixture distribution (e.g. quality-control-like + data). + - id: DQ-03 + name: Appropriate Scale + score: 4 + max: 4 + passed: true + comment: n=200 within the 30-500 recommended range; values and spread are + sensible. + code_quality: + score: 10 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: Flat imports -> data -> plot -> save, no functions/classes. + - id: CQ-02 + name: Reproducibility + score: 2 + max: 2 + passed: true + comment: np.random.default_rng(42) seeded. + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: os, matplotlib.pyplot, numpy, pandas, seaborn — all used. + - id: CQ-04 + name: Code Elegance + score: 2 + max: 2 + passed: true + comment: Appropriately complex for the statistical technique used, no fake + UI. + - id: CQ-05 + name: Output & API + score: 1 + max: 1 + passed: true + comment: Saves plot-{THEME}.png with correct dpi/facecolor, current seaborn + API. + library_mastery: + score: 9 + max: 10 + items: + - id: LM-01 + name: Idiomatic Usage + score: 5 + max: 5 + passed: true + comment: Expert use of sns.lineplot's built-in estimator/errorbar machinery + and sns.scatterplot for the axes-level composition. + - id: LM-02 + name: Distinctive Features + score: 4 + max: 5 + passed: true + comment: The errorbar=('pi', 95) percentile-interval estimation is a genuinely + seaborn-specific statistical feature, though the underlying simulation-envelope + concept could be replicated manually in other libraries. + verdict: REJECTED +impl_tags: + dependencies: [] + techniques: + - simulation-envelope + patterns: + - data-generation + - explicit-figure + dataprep: + - normalization + styling: + - alpha-blending + - edge-highlighting + - grid-styling From fcd543fd9a7adec644e7be179202fe56969c8c25 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 24 Jul 2026 06:57:18 +0000 Subject: [PATCH 4/7] fix(seaborn): address review feedback for qq-basic Attempt 1/4 - fixes based on AI review --- plots/qq-basic/implementations/python/seaborn.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/plots/qq-basic/implementations/python/seaborn.py b/plots/qq-basic/implementations/python/seaborn.py index 46bc7fed71..e8c8a95ecf 100644 --- a/plots/qq-basic/implementations/python/seaborn.py +++ b/plots/qq-basic/implementations/python/seaborn.py @@ -1,4 +1,4 @@ -""" anyplot.ai +"""anyplot.ai qq-basic: Basic Q-Q Plot Library: seaborn 0.13.2 | Python 3.13.14 Quality: 89/100 | Updated: 2026-07-24 @@ -81,7 +81,7 @@ x=theoretical_q, y=sample_q, ax=ax, - s=120, + s=90, color=BRAND, alpha=0.75, edgecolor=PAGE_BG, @@ -93,7 +93,7 @@ # Style ax.set_xlabel("Theoretical Quantiles", fontsize=10, color=INK) ax.set_ylabel("Sample Quantiles", fontsize=10, color=INK) -ax.set_title("qq-basic · seaborn · anyplot.ai", fontsize=12, fontweight="medium", color=INK) +ax.set_title("qq-basic · python · seaborn · anyplot.ai", fontsize=12, fontweight="medium", color=INK) ax.tick_params(axis="both", labelsize=8, colors=INK_SOFT) ax.legend(fontsize=8, loc="upper left") ax.spines["top"].set_visible(False) From ca8866a89cf2f36905581611725ac936c6fe0fb8 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 24 Jul 2026 07:06:26 +0000 Subject: [PATCH 5/7] chore(seaborn): update quality score 65 and review feedback for qq-basic --- .../implementations/python/seaborn.py | 4 +- plots/qq-basic/metadata/python/seaborn.yaml | 177 ++++++++++-------- 2 files changed, 97 insertions(+), 84 deletions(-) diff --git a/plots/qq-basic/implementations/python/seaborn.py b/plots/qq-basic/implementations/python/seaborn.py index e8c8a95ecf..000adca4b6 100644 --- a/plots/qq-basic/implementations/python/seaborn.py +++ b/plots/qq-basic/implementations/python/seaborn.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai qq-basic: Basic Q-Q Plot Library: seaborn 0.13.2 | Python 3.13.14 -Quality: 89/100 | Updated: 2026-07-24 +Quality: 65/100 | Updated: 2026-07-24 """ import os diff --git a/plots/qq-basic/metadata/python/seaborn.yaml b/plots/qq-basic/metadata/python/seaborn.yaml index 087a19dab5..8f2d959065 100644 --- a/plots/qq-basic/metadata/python/seaborn.yaml +++ b/plots/qq-basic/metadata/python/seaborn.yaml @@ -2,7 +2,7 @@ library: seaborn language: python specification_id: qq-basic created: '2025-12-23T18:12:43Z' -updated: '2026-07-24T06:55:30Z' +updated: '2026-07-24T07:06:26Z' generated_by: claude-sonnet workflow_run: 30073267766 issue: 977 @@ -12,7 +12,7 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/qq-basic/ preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/qq-basic/python/seaborn/plot-dark.png preview_html_light: null preview_html_dark: null -quality_score: 89 +quality_score: 65 review: strengths: - 'Genuinely creative reference guide: a 300-replicate 95% simulation envelope built @@ -21,39 +21,72 @@ review: own estimation machinery.' - 'Correct Imprint palette usage: sample quantiles use brand green #009E73, and the reference band/line uses the theme-adaptive muted/neutral token in its documented - ''confidence-band fill'' role rather than spending a categorical color on it.' + confidence-band role rather than spending a categorical color on it.' - Theme-adaptive chrome is threaded consistently through sns.set_theme rc params - — both light and dark renders are fully legible with no dark-on-dark or light-on-light - failures. - - Clean, idiomatic KISS structure (imports -> data -> plot -> save), reproducible - via a seeded np.random.default_rng(42), spines removed, subtle grid. - - Realistic mixture-distribution sample (normal core + right-tail bump) clearly - demonstrates the Q-Q deviation the spec asks for. + — both light (#FAF8F1) and dark (#1A1A17) backgrounds verified pixel-exact, fully + legible with no dark-on-dark or light-on-light failures. + - 'The source code fix for this attempt is correct and verified: ax.set_title now + reads ''qq-basic · python · seaborn · anyplot.ai'' (plots/qq-basic/implementations/python/seaborn.py:96) + and the marker size was reduced from s=120 to s=90 (line 84) exactly as requested + in the Attempt 1 review.' + - Clean, idiomatic KISS structure, reproducible via a seeded np.random.default_rng(42), + spines removed, subtle grid. weaknesses: - - Title reads 'qq-basic · seaborn · anyplot.ai' — missing the mandated language - segment. Per SC-04 it must be '{spec-id} · {language} · {library} · anyplot.ai', - i.e. 'qq-basic · python · seaborn · anyplot.ai'. Fix the ax.set_title() string. - - Marker size (s=120, alpha=0.75) for a ~200-point scatter is a bit larger than - the density-appropriate 50-100 range for the 100-300 point bucket — reduce slightly - (e.g. s=90) to cut down on marker-to-marker crowding in the dense mid-section. - - Only the upper/right tail visibly strays from the reference envelope; the sample - could show a touch more variety in deviation (e.g. mild left-tail behavior) for - fuller Q-Q feature coverage, though this is a minor polish item, not a correctness - issue. + - 'BLOCKING PIPELINE FAILURE — stale render used for this review: the plot-light.png + / plot-dark.png downloaded from GCS staging for this Attempt 2 review are byte-for-byte + the pre-fix Attempt 1 artifacts, NOT a render of the current (already-corrected) + source. Evidence: the title rendered in both PNGs still reads ''qq-basic · seaborn + · anyplot.ai'' (missing the ''python'' segment) even though plots/qq-basic/implementations/python/seaborn.py:96 + was fixed by commit fcd543fd9 to read ''qq-basic · python · seaborn · anyplot.ai'' + — confirmed by running the current source locally, which correctly renders the + fixed title. Root cause found in the impl-repair run (github.com/MarkusNeusinger/anyplot/actions/runs/30073755278): + the ''Process repaired image'' step logged ''::warning::Missing plot-{light,dark}.png + after repair'' — the Claude Code repair step edited the .py file but never executed + it to (re)generate plot-light.png/plot-dark.png in the implementation directory. + Because those files did not exist, the subsequent ''Upload repaired plot to GCS + staging'' step''s `if [ -f plot-light.png ] && [ -f plot-dark.png ]` guard was + false, so nothing was uploaded and the stale Attempt-1 images remained in staging + and were re-downloaded for this review. This is a rendering-pipeline defect, not + a code-quality defect — the source fix is verified correct. Approving on this + artifact would promote a non-compliant PNG (missing the mandated language segment, + oversized s=120 markers) to production while the repo''s source already has the + fix.' + - 'As a direct consequence of the above: on the actual reviewed artifact, the title + still fails SC-04 (missing the mandated {language} segment) and the marker size + is still s=120 (larger than the 50-100 density-appropriate range for this ~200-point + scatter) — both are already fixed in source but not reflected in the render.' + - 'Minor, non-blocking: only the upper/right tail visibly strays from the reference + envelope; the sample could show a touch more variety in deviation (e.g. mild left-tail + behavior) for fuller Q-Q feature coverage.' image_description: |- Light render (plot-light.png): - Background: Warm off-white, matches #FAF8F1 — not pure white. - Chrome: Title "qq-basic · seaborn · anyplot.ai" in dark ink, clearly legible; axis labels "Theoretical Quantiles" / "Sample Quantiles" in dark ink; tick labels in a softer dark-gray; legend box (cream fill, dark border) in the upper-left reads "Normal reference (95% envelope)" and "Sample quantiles", both fully legible; grid lines are faint and unobtrusive. - Data: Green (#009E73) circular markers trace the sample quantiles against theoretical quantiles from -3 to 3, tracking closely to a dashed gray identity line surrounded by a light-gray 95% simulation-envelope band; the markers curve above the envelope in the upper-right (theoretical quantile > ~1.2), visibly showing the right-tail deviation from normality baked into the sample data. - Legibility verdict: PASS. + Background: warm off-white, sampled pixel (250,248,241) = #FAF8F1 exactly, matches spec. + Chrome: title "qq-basic · seaborn · anyplot.ai" (dark ink) is clearly legible, but is MISSING the mandated + "python" language segment — the source at plots/qq-basic/implementations/python/seaborn.py:96 was fixed + to include it, so this render is stale (see Weaknesses). Axis labels "Theoretical Quantiles" / + "Sample Quantiles" and softer tick labels are legible. Legend box (cream fill, dark border) reads + "Normal reference (95% envelope)" and "Sample quantiles", fully readable. + Data: green (#009E73) circular markers at the pre-fix size (s=120) trace sample quantiles against + theoretical quantiles from -3 to 3, tracking a dashed gray identity line inside a light-gray 95% + simulation-envelope band; markers curve visibly above the envelope for theoretical quantile > ~1.2, + showing the intended right-tail deviation from normality. + Legibility verdict: PASS (all text readable against the light background) — but content is stale, see weaknesses. Dark render (plot-dark.png): - Background: Warm near-black, matches #1A1A17 — not pure black. - Chrome: Title, axis labels rendered in light ink (near-white), fully legible against the dark background; tick labels in a lighter gray, also legible; legend box (dark-elevated fill, light border) with light text, no dark-on-dark issues anywhere; grid lines faint but visible. - Data: Same #009E73 green markers as the light render (identical hue, confirming data-color parity across themes), same dashed reference line (now light gray) and simulation envelope (dark gray shading), with the same upper-tail deviation pattern. - Legibility verdict: PASS. + Background: warm near-black, sampled pixel (26,26,23) = #1A1A17 exactly, matches spec. + Chrome: title and axis labels render in light ink (near-white), fully legible; tick labels in lighter + gray, also legible; legend box (dark-elevated fill, light border) has light text, no dark-on-dark + issues anywhere. Same missing "python" segment as the light render (stale artifact, not a new defect). + Data: same #009E73 green markers (color parity with light render confirmed), same dashed reference line + (light gray) and simulation envelope (dark-gray shading), same upper-tail deviation pattern, same + pre-fix s=120 marker size. + Legibility verdict: PASS (all text readable against the dark background, no dark-on-dark failures) — but + content is stale, see weaknesses. - Both renders are theme-correct and readable; no dark-on-dark or light-on-light failures observed. The title text itself, however, is missing the mandated language segment ("python") in both renders — a Spec Compliance defect, not a legibility one. + CRITICAL NOTE: Both renders are byte-for-byte the Attempt 1 (pre-fix) artifacts, confirmed by re-running + the current committed source locally (title correctly renders as "qq-basic · python · seaborn · anyplot.ai"). + This is a pipeline rendering failure (repair step did not regenerate PNGs before upload), not a code defect. + See review_weaknesses.json item 1 for full root-cause evidence and the score cap applied because of it. criteria_checklist: visual_quality: score: 28 @@ -64,52 +97,46 @@ review: score: 7 max: 8 passed: true - comment: All font sizes explicitly set (title 12pt, labels 10pt, ticks/legend - 8pt); fully readable in both themes. Not a perfect 8 only because the short - (bugged) title leaves the layout slightly imbalanced at the top. + comment: All font sizes explicitly set, readable in both themes - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: No text/marker/legend collisions in either render. + comment: No collisions - id: VQ-03 name: Element Visibility score: 5 max: 6 passed: true - comment: Markers visible and well-chosen overall, but s=120 is slightly above - the 50-100 density guideline for ~200 points, causing minor crowding in - the dense mid-section. + comment: s=120 in the reviewed (stale) render is above the 50-100 density-appropriate + range for ~200 points; source already fixed to s=90 but not yet reflected + in this render - id: VQ-04 name: Color Accessibility score: 2 max: 2 passed: true - comment: Green markers vs. gray envelope/line give strong, CVD-safe contrast; - no red-green reliance. + comment: Green vs. gray, CVD-safe - id: VQ-05 name: Layout & Canvas score: 4 max: 4 passed: true - comment: Balanced margins, plot area well proportioned, nothing cut off, canvas - gate passed. + comment: Balanced, nothing cut off, canvas gate passed (3200x1800) - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: '''Theoretical Quantiles'' / ''Sample Quantiles'' are descriptive - per spec.' + comment: Descriptive per spec - id: VQ-07 name: Palette Compliance score: 2 max: 2 passed: true - comment: 'First series #009E73; reference band uses the theme-adaptive muted/neutral - anchor in its documented confidence-band role; backgrounds are #FAF8F1/#1A1A17; - chrome theme-correct in both renders.' + comment: '#009E73 first series; backgrounds pixel-verified #FAF8F1/#1A1A17; + correct theme-adaptive chrome' design_excellence: score: 15 max: 20 @@ -119,24 +146,20 @@ review: score: 6 max: 8 passed: true - comment: Simulation envelope, correct semantic-anchor usage, and thoughtful - typography put this clearly above library defaults, short of full publication-ready - polish. + comment: Simulation envelope + correct semantic-anchor usage, clearly above + defaults - id: DE-02 name: Visual Refinement score: 5 max: 6 passed: true - comment: Spines removed, grid subtle (10% alpha), generous whitespace; legend - box border keeps it from a perfect score. + comment: Spines removed, subtle grid, generous whitespace - id: DE-03 name: Data Storytelling score: 4 max: 6 passed: true - comment: Color contrast between markers and envelope creates a clear focal - point on the right-tail deviation; not an 'excellent' full narrative since - only one tail shows deviation. + comment: Color contrast creates a focal point on the tail deviation spec_compliance: score: 13 max: 15 @@ -146,30 +169,27 @@ review: score: 5 max: 5 passed: true - comment: 'Correct Q-Q plot: theoretical vs. sample quantiles with reference - guide.' + comment: Correct Q-Q plot - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: 45-degree reference guide present (as envelope mean line), axis labels - as specified. + comment: Reference guide + axis labels present - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: X = theoretical quantiles, Y = standardized sample quantiles, correctly - assigned. + comment: X=theoretical, Y=standardized sample, correct - id: SC-04 name: Title & Legend score: 1 max: 3 passed: false - comment: Title is 'qq-basic · seaborn · anyplot.ai' — missing the mandated - language segment ('python'). Legend labels are correct, but the title format - itself is wrong. + comment: Title in the reviewed (stale) render is missing the mandated {language} + segment; source is already fixed (line 96) but the render does not reflect + it data_quality: score: 14 max: 15 @@ -179,22 +199,19 @@ review: score: 5 max: 6 passed: true - comment: Shows clear right-tail/heavy-tail deviation from normality; left - tail stays close to the envelope so only one deviation mode is demonstrated. + comment: Clear right-tail deviation; left tail stays close to envelope - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Neutral, plausible measurement-style mixture distribution (e.g. quality-control-like - data). + comment: Neutral, plausible mixture distribution - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: n=200 within the 30-500 recommended range; values and spread are - sensible. + comment: n=200 within recommended range, sensible values code_quality: score: 10 max: 10 @@ -204,33 +221,31 @@ review: score: 3 max: 3 passed: true - comment: Flat imports -> data -> plot -> save, no functions/classes. + comment: Imports -> Data -> Plot -> Save - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: np.random.default_rng(42) seeded. + comment: Seeded np.random.default_rng(42) - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: os, matplotlib.pyplot, numpy, pandas, seaborn — all used. + comment: Only used imports - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Appropriately complex for the statistical technique used, no fake - UI. + comment: Clean, appropriate complexity - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves plot-{THEME}.png with correct dpi/facecolor, current seaborn - API. + comment: Correct savefig usage, current API library_mastery: score: 9 max: 10 @@ -240,27 +255,25 @@ review: score: 5 max: 5 passed: true - comment: Expert use of sns.lineplot's built-in estimator/errorbar machinery - and sns.scatterplot for the axes-level composition. + comment: Expert use of sns.lineplot's estimator/errorbar machinery - id: LM-02 name: Distinctive Features score: 4 max: 5 passed: true - comment: The errorbar=('pi', 95) percentile-interval estimation is a genuinely - seaborn-specific statistical feature, though the underlying simulation-envelope - concept could be replicated manually in other libraries. + comment: errorbar=('pi', 95) percentile-interval estimation is a genuinely + seaborn-specific statistical feature verdict: REJECTED impl_tags: dependencies: [] techniques: - - simulation-envelope + - custom-legend patterns: - data-generation - explicit-figure - dataprep: - - normalization + dataprep: [] styling: + - publication-ready - alpha-blending - edge-highlighting - grid-styling From fe65a8e7657322e1986efd1a4430df4e997e4b9f Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 24 Jul 2026 07:10:00 +0000 Subject: [PATCH 6/7] fix(seaborn): address review feedback for qq-basic Attempt 2/4 - fixes based on AI review --- plots/qq-basic/implementations/python/seaborn.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/plots/qq-basic/implementations/python/seaborn.py b/plots/qq-basic/implementations/python/seaborn.py index 000adca4b6..f56f44faba 100644 --- a/plots/qq-basic/implementations/python/seaborn.py +++ b/plots/qq-basic/implementations/python/seaborn.py @@ -1,4 +1,4 @@ -""" anyplot.ai +"""anyplot.ai qq-basic: Basic Q-Q Plot Library: seaborn 0.13.2 | Python 3.13.14 Quality: 65/100 | Updated: 2026-07-24 From 6aaeb0c79fb6ead0c44e3a3873b0f0abf76fedf9 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 24 Jul 2026 07:14:20 +0000 Subject: [PATCH 7/7] chore(seaborn): update quality score 92 and review feedback for qq-basic --- .../implementations/python/seaborn.py | 4 +- plots/qq-basic/metadata/python/seaborn.yaml | 159 +++++++----------- 2 files changed, 66 insertions(+), 97 deletions(-) diff --git a/plots/qq-basic/implementations/python/seaborn.py b/plots/qq-basic/implementations/python/seaborn.py index f56f44faba..f9f28ff784 100644 --- a/plots/qq-basic/implementations/python/seaborn.py +++ b/plots/qq-basic/implementations/python/seaborn.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai qq-basic: Basic Q-Q Plot Library: seaborn 0.13.2 | Python 3.13.14 -Quality: 65/100 | Updated: 2026-07-24 +Quality: 92/100 | Updated: 2026-07-24 """ import os diff --git a/plots/qq-basic/metadata/python/seaborn.yaml b/plots/qq-basic/metadata/python/seaborn.yaml index 8f2d959065..9b183d2af4 100644 --- a/plots/qq-basic/metadata/python/seaborn.yaml +++ b/plots/qq-basic/metadata/python/seaborn.yaml @@ -2,7 +2,7 @@ library: seaborn language: python specification_id: qq-basic created: '2025-12-23T18:12:43Z' -updated: '2026-07-24T07:06:26Z' +updated: '2026-07-24T07:14:20Z' generated_by: claude-sonnet workflow_run: 30073267766 issue: 977 @@ -12,84 +12,51 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/qq-basic/ preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/qq-basic/python/seaborn/plot-dark.png preview_html_light: null preview_html_dark: null -quality_score: 65 +quality_score: 92 review: strengths: - 'Genuinely creative reference guide: a 300-replicate 95% simulation envelope built with sns.lineplot(estimator=''mean'', errorbar=(''pi'', 95)) instead of a bare - y=x line, giving the QQ plot real statistical depth and leaning on seaborn''s + y=x line, giving the Q-Q plot real statistical depth and leaning on seaborn''s own estimation machinery.' - 'Correct Imprint palette usage: sample quantiles use brand green #009E73, and - the reference band/line uses the theme-adaptive muted/neutral token in its documented - confidence-band role rather than spending a categorical color on it.' + the reference band/line uses the theme-adaptive muted/neutral token in its confidence-band + role rather than spending a categorical color on it.' - Theme-adaptive chrome is threaded consistently through sns.set_theme rc params - — both light (#FAF8F1) and dark (#1A1A17) backgrounds verified pixel-exact, fully - legible with no dark-on-dark or light-on-light failures. - - 'The source code fix for this attempt is correct and verified: ax.set_title now - reads ''qq-basic · python · seaborn · anyplot.ai'' (plots/qq-basic/implementations/python/seaborn.py:96) - and the marker size was reduced from s=120 to s=90 (line 84) exactly as requested - in the Attempt 1 review.' + — both light and dark renders are fully legible with no dark-on-dark or light-on-light + failures. + - 'Both fixes from the Attempt 1 review are correctly applied and now reflected + in the render: title reads ''qq-basic · python · seaborn · anyplot.ai'' and marker + size was reduced to s=90, sitting comfortably in the density-appropriate range + for ~200 points.' - Clean, idiomatic KISS structure, reproducible via a seeded np.random.default_rng(42), - spines removed, subtle grid. + spines removed, subtle grid, realistic mixture-distribution sample (normal core + + right-tail bump) that visibly demonstrates the Q-Q deviation the spec asks for. weaknesses: - - 'BLOCKING PIPELINE FAILURE — stale render used for this review: the plot-light.png - / plot-dark.png downloaded from GCS staging for this Attempt 2 review are byte-for-byte - the pre-fix Attempt 1 artifacts, NOT a render of the current (already-corrected) - source. Evidence: the title rendered in both PNGs still reads ''qq-basic · seaborn - · anyplot.ai'' (missing the ''python'' segment) even though plots/qq-basic/implementations/python/seaborn.py:96 - was fixed by commit fcd543fd9 to read ''qq-basic · python · seaborn · anyplot.ai'' - — confirmed by running the current source locally, which correctly renders the - fixed title. Root cause found in the impl-repair run (github.com/MarkusNeusinger/anyplot/actions/runs/30073755278): - the ''Process repaired image'' step logged ''::warning::Missing plot-{light,dark}.png - after repair'' — the Claude Code repair step edited the .py file but never executed - it to (re)generate plot-light.png/plot-dark.png in the implementation directory. - Because those files did not exist, the subsequent ''Upload repaired plot to GCS - staging'' step''s `if [ -f plot-light.png ] && [ -f plot-dark.png ]` guard was - false, so nothing was uploaded and the stale Attempt-1 images remained in staging - and were re-downloaded for this review. This is a rendering-pipeline defect, not - a code-quality defect — the source fix is verified correct. Approving on this - artifact would promote a non-compliant PNG (missing the mandated language segment, - oversized s=120 markers) to production while the repo''s source already has the - fix.' - - 'As a direct consequence of the above: on the actual reviewed artifact, the title - still fails SC-04 (missing the mandated {language} segment) and the marker size - is still s=120 (larger than the 50-100 density-appropriate range for this ~200-point - scatter) — both are already fixed in source but not reflected in the render.' - - 'Minor, non-blocking: only the upper/right tail visibly strays from the reference - envelope; the sample could show a touch more variety in deviation (e.g. mild left-tail - behavior) for fuller Q-Q feature coverage.' + - Only the upper/right tail visibly strays from the reference envelope; the sample + could show a touch more variety in deviation (e.g. mild left-tail behavior) for + fuller Q-Q feature coverage — minor polish item, not a correctness issue. + - In the dense mid-section (theoretical quantiles roughly -1 to 1), overlapping + markers merge into a near-continuous ribbon; a hair more transparency or slightly + smaller markers there would keep individual points distinguishable, though this + does not rise to an Element Visibility failure. image_description: |- Light render (plot-light.png): - Background: warm off-white, sampled pixel (250,248,241) = #FAF8F1 exactly, matches spec. - Chrome: title "qq-basic · seaborn · anyplot.ai" (dark ink) is clearly legible, but is MISSING the mandated - "python" language segment — the source at plots/qq-basic/implementations/python/seaborn.py:96 was fixed - to include it, so this render is stale (see Weaknesses). Axis labels "Theoretical Quantiles" / - "Sample Quantiles" and softer tick labels are legible. Legend box (cream fill, dark border) reads - "Normal reference (95% envelope)" and "Sample quantiles", fully readable. - Data: green (#009E73) circular markers at the pre-fix size (s=120) trace sample quantiles against - theoretical quantiles from -3 to 3, tracking a dashed gray identity line inside a light-gray 95% - simulation-envelope band; markers curve visibly above the envelope for theoretical quantile > ~1.2, - showing the intended right-tail deviation from normality. - Legibility verdict: PASS (all text readable against the light background) — but content is stale, see weaknesses. + Background: Warm off-white, matches #FAF8F1 — not pure white, not dark. + Chrome: Title "qq-basic · python · seaborn · anyplot.ai" in dark ink is clearly legible (language segment present, confirming the Attempt 1 fix is now reflected in the render). "Theoretical Quantiles" / "Sample Quantiles" axis labels and softer dark-gray tick labels all readable. Upper-left legend box (cream fill, dark border) reads "Normal reference (95% envelope)" and "Sample quantiles", both fully readable, no overlap with plot data. + Data: Green (#009E73) circular markers (s=90) trace standardized sample quantiles against theoretical quantiles from about -3 to 3, closely tracking a dashed gray identity/reference line inside a light-gray 95% simulation-envelope band; markers curve visibly above the envelope for theoretical quantile > ~1.2, showing the intended right-tail deviation from normality. + Legibility verdict: PASS — no light-on-light issues anywhere. Dark render (plot-dark.png): - Background: warm near-black, sampled pixel (26,26,23) = #1A1A17 exactly, matches spec. - Chrome: title and axis labels render in light ink (near-white), fully legible; tick labels in lighter - gray, also legible; legend box (dark-elevated fill, light border) has light text, no dark-on-dark - issues anywhere. Same missing "python" segment as the light render (stale artifact, not a new defect). - Data: same #009E73 green markers (color parity with light render confirmed), same dashed reference line - (light gray) and simulation envelope (dark-gray shading), same upper-tail deviation pattern, same - pre-fix s=120 marker size. - Legibility verdict: PASS (all text readable against the dark background, no dark-on-dark failures) — but - content is stale, see weaknesses. + Background: Warm near-black, matches #1A1A17 — not pure black, not light. + Chrome: Title and axis labels render in light ink (near-white), fully legible; tick labels in a lighter gray, also legible; legend box (dark-elevated fill, light border) has light text with no dark-on-dark issues anywhere. + Data: Same #009E73 green markers (color parity with light render confirmed — only chrome flipped), same dashed reference line (now light gray) and simulation envelope (dark-gray shading), same upper-tail deviation pattern. + Legibility verdict: PASS — no dark-on-dark failures found. - CRITICAL NOTE: Both renders are byte-for-byte the Attempt 1 (pre-fix) artifacts, confirmed by re-running - the current committed source locally (title correctly renders as "qq-basic · python · seaborn · anyplot.ai"). - This is a pipeline rendering failure (repair step did not regenerate PNGs before upload), not a code defect. - See review_weaknesses.json item 1 for full root-cause evidence and the score cap applied because of it. + Both renders are theme-correct, mutually consistent (identical data colors, only chrome flipped), and correctly reflect the current source — resolving the Attempt 2 staleness issue (title now includes "python", markers are s=90 not the stale s=120). criteria_checklist: visual_quality: - score: 28 + score: 29 max: 30 items: - id: VQ-01 @@ -103,40 +70,40 @@ review: score: 6 max: 6 passed: true - comment: No collisions + comment: No collisions between text, legend, and data - id: VQ-03 name: Element Visibility - score: 5 + score: 6 max: 6 passed: true - comment: s=120 in the reviewed (stale) render is above the 50-100 density-appropriate - range for ~200 points; source already fixed to s=90 but not yet reflected - in this render + comment: s=90 now sits in the density-appropriate 50-100 range for ~200 points, + fixing the prior s=120 issue - id: VQ-04 name: Color Accessibility score: 2 max: 2 passed: true - comment: Green vs. gray, CVD-safe + comment: Green vs. gray, CVD-safe, no red-green reliance - id: VQ-05 name: Layout & Canvas score: 4 max: 4 passed: true - comment: Balanced, nothing cut off, canvas gate passed (3200x1800) + comment: Balanced, nothing cut off, canvas gate passed (3200x1800, no gate + file present) - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: Descriptive per spec + comment: 'Descriptive per spec: Theoretical Quantiles / Sample Quantiles' - id: VQ-07 name: Palette Compliance score: 2 max: 2 passed: true - comment: '#009E73 first series; backgrounds pixel-verified #FAF8F1/#1A1A17; - correct theme-adaptive chrome' + comment: '#009E73 first series; backgrounds correct #FAF8F1/#1A1A17; correct + theme-adaptive chrome' design_excellence: score: 15 max: 20 @@ -159,9 +126,9 @@ review: score: 4 max: 6 passed: true - comment: Color contrast creates a focal point on the tail deviation + comment: Color contrast and envelope create a focal point on the tail deviation spec_compliance: - score: 13 + score: 15 max: 15 items: - id: SC-01 @@ -175,21 +142,20 @@ review: score: 4 max: 4 passed: true - comment: Reference guide + axis labels present + comment: Reference guide (diagonal envelope) and both axis labels present - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: X=theoretical, Y=standardized sample, correct + comment: X=theoretical quantiles, Y=standardized sample quantiles, correct - id: SC-04 name: Title & Legend - score: 1 + score: 3 max: 3 - passed: false - comment: Title in the reviewed (stale) render is missing the mandated {language} - segment; source is already fixed (line 96) but the render does not reflect - it + passed: true + comment: Title now reads 'qq-basic · python · seaborn · anyplot.ai', exact + required format; legend labels match data data_quality: score: 14 max: 15 @@ -199,19 +165,21 @@ review: score: 5 max: 6 passed: true - comment: Clear right-tail deviation; left tail stays close to envelope + comment: Clear right-tail deviation from mixture distribution; left tail stays + close to envelope - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Neutral, plausible mixture distribution + comment: Neutral, plausible mixture distribution (measurement-like data) - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: n=200 within recommended range, sensible values + comment: n=200 within the 30-500 recommended range, sensible standardized + values code_quality: score: 10 max: 10 @@ -221,7 +189,7 @@ review: score: 3 max: 3 passed: true - comment: Imports -> Data -> Plot -> Save + comment: No functions/classes, linear top-to-bottom script - id: CQ-02 name: Reproducibility score: 2 @@ -233,19 +201,20 @@ review: score: 2 max: 2 passed: true - comment: Only used imports + comment: 'Only used imports: os, matplotlib.pyplot, numpy, pandas, seaborn' - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Clean, appropriate complexity + comment: Appropriate complexity, no fake UI; self-contained normal-quantile + approximation avoids adding a scipy dependency - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Correct savefig usage, current API + comment: Saves as plot-{THEME}.png, no bbox_inches='tight', current API library_mastery: score: 9 max: 10 @@ -255,7 +224,8 @@ review: score: 5 max: 5 passed: true - comment: Expert use of sns.lineplot's estimator/errorbar machinery + comment: Expert use of sns.lineplot's estimator/errorbar machinery to build + the reference envelope - id: LM-02 name: Distinctive Features score: 4 @@ -263,17 +233,16 @@ review: passed: true comment: errorbar=('pi', 95) percentile-interval estimation is a genuinely seaborn-specific statistical feature - verdict: REJECTED + verdict: APPROVED impl_tags: dependencies: [] - techniques: - - custom-legend + techniques: [] patterns: - data-generation - explicit-figure - dataprep: [] + dataprep: + - normalization styling: - - publication-ready - alpha-blending - edge-highlighting - grid-styling