chore(matplotlib): add metadata for network-force-directed

Author: github-actions[bot]

plots/network-force-directed/metadata/python/matplotlib.yaml

@@ -1,250 +1,21 @@
+# Per-library metadata for matplotlib implementation of network-force-directed
+# Auto-generated by impl-generate.yml
+
 library: matplotlib
 language: python
 specification_id: network-force-directed
 created: '2025-12-23T15:14:17Z'
-updated: '2026-04-26T08:47:45Z'
-generated_by: claude-opus
-workflow_run: 24952381723
+updated: '2026-07-01T01:15:35Z'
+generated_by: claude-sonnet
+workflow_run: 28486437476
 issue: 990
-python_version: 3.14.4
-library_version: 3.10.9
+language_version: 3.13.14
+library_version: 3.11.0
 preview_url_light: https://storage.googleapis.com/anyplot-images/plots/network-force-directed/python/matplotlib/plot-light.png
 preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/network-force-directed/python/matplotlib/plot-dark.png
 preview_html_light: null
 preview_html_dark: null
-quality_score: 85
+quality_score: null
 review:
-  strengths:
-  - 'Perfect spec and data quality: realistic company social network with clear community
-    structure, degree-based hub sizing, hub labeling, and bridge edges — all spec
-    features implemented'
-  - Force-directed Fruchterman-Reingold layout implemented from scratch with correct
-    repulsive/attractive forces and temperature cooling
-  - 'Efficient matplotlib idioms: LineCollection for O(1) edge batch rendering, custom
-    legend handles, theme-adaptive chrome throughout both renders'
-  - Both renders pass theme-readability checks with no dark-on-dark or light-on-light
-    failures
-  weaknesses:
-  - Hub label fontsize (14pt) is below the 16pt minimum for secondary text at 4800x2700
-    resolution; footer fontsize (12pt) is too small — both should be increased
-  - DE-01 design sophistication is solid but not exceptional; could differentiate
-    bridge edges (e.g., dashed or different opacity) from intra-community edges to
-    add another layer of visual storytelling
-  - LM-02 could leverage more distinctly matplotlib capabilities (e.g., FancyArrowPatch,
-    PathPatch for curved edges, or inset_axes for a degree distribution inset)
-  image_description: |-
-    Light render (plot-light.png):
-      Background: Warm off-white (~#FAF8F1) — correct theme surface, not pure white
-      Chrome: Title "network-force-directed · matplotlib · anyplot.ai" in dark ink, clearly readable; legend with "Teams" title readable; hub annotation labels readable; footer readable (but small at 12pt)
-      Data: Three communities — Engineering (#009E73 teal, right), Marketing (#D55E00 orange, lower center-left), Sales (#0072B2 blue, upper left); nodes sized by degree with hub nodes visibly larger; edges in muted gray at alpha=0.30
-      Legibility verdict: PASS (hub labels at 14pt and footer at 12pt are slightly below 16pt/14pt guidelines but still readable)
-
-    Dark render (plot-dark.png):
-      Background: Warm near-black (~#1A1A17) — correct dark theme surface, not pure black
-      Chrome: Title in light-colored text readable against dark background; legend background is elevated dark surface (#242420); legend text and annotations adapt to light chrome; no dark-on-dark failures detected
-      Data: Colors identical to light render — Engineering #009E73, Marketing #D55E00, Sales #0072B2 — confirming Okabe-Ito positions 1-3 are theme-invariant; node sizing identical
-      Legibility verdict: PASS
-  criteria_checklist:
-    visual_quality:
-      score: 25
-      max: 30
-      items:
-      - id: VQ-01
-        name: Text Legibility
-        score: 6
-        max: 8
-        passed: true
-        comment: Title 24pt, legend 16pt/18pt explicitly set; hub labels 14pt below
-          16pt minimum; footer 12pt too small for 4800x2700
-      - id: VQ-02
-        name: No Overlap
-        score: 5
-        max: 6
-        passed: true
-        comment: Hub labels per community are adjacent but readable; no severe overlap
-      - id: VQ-03
-        name: Element Visibility
-        score: 5
-        max: 6
-        passed: true
-        comment: Nodes well-sized with degree scaling; edges at alpha=0.30 intentionally
-          faint but visible
-      - id: VQ-04
-        name: Color Accessibility
-        score: 2
-        max: 2
-        passed: true
-        comment: Okabe-Ito positions 1-3 are colorblind-safe with good luminance contrast
-      - id: VQ-05
-        name: Layout & Canvas
-        score: 3
-        max: 4
-        passed: true
-        comment: Three-cluster layout uses canvas well; minor imbalance with empty
-          space in lower-right quadrant
-      - id: VQ-06
-        name: Axis Labels & Title
-        score: 2
-        max: 2
-        passed: true
-        comment: Title in correct format; axis off is appropriate for network; footer
-          provides context
-      - id: VQ-07
-        name: Palette Compliance
-        score: 2
-        max: 2
-        passed: true
-        comment: 'First series #009E73; Okabe-Ito positions 1-3 in order; backgrounds
-          #FAF8F1/#1A1A17; chrome adapts correctly'
-    design_excellence:
-      score: 13
-      max: 20
-      items:
-      - id: DE-01
-        name: Aesthetic Sophistication
-        score: 5
-        max: 8
-        passed: true
-        comment: Node edges set to page background for clean definition; degree-based
-          sizing adds hierarchy; hub labels with rounded boxes; above default but
-          not exceptional
-      - id: DE-02
-        name: Visual Refinement
-        score: 4
-        max: 6
-        passed: true
-        comment: ax.axis('off') gives clean frameless look; custom legend frame with
-          adaptive colors; edge alpha=0.30 reduces noise; solid refinement
-      - id: DE-03
-        name: Data Storytelling
-        score: 4
-        max: 6
-        passed: true
-        comment: Hub nodes prominent via size; labels direct viewer to key connectors;
-          community clusters immediately visible; bridge edges reveal structure
-    spec_compliance:
-      score: 15
-      max: 15
-      items:
-      - id: SC-01
-        name: Plot Type
-        score: 5
-        max: 5
-        passed: true
-        comment: Force-directed graph implemented from scratch (Fruchterman-Reingold);
-          correct layout behavior
-      - id: SC-02
-        name: Required Features
-        score: 4
-        max: 4
-        passed: true
-        comment: Nodes with IDs, edges, degree-based node sizing, hub labels, 200
-          iterations for convergence — all present
-      - id: SC-03
-        name: Data Mapping
-        score: 3
-        max: 3
-        passed: true
-        comment: 50 nodes, 133 edges, 3 communities; intra/inter-community connections
-          correctly represented
-      - id: SC-04
-        name: Title & Legend
-        score: 3
-        max: 3
-        passed: true
-        comment: Title 'network-force-directed · matplotlib · anyplot.ai'; legend
-          shows Teams with Engineering/Marketing/Sales
-    data_quality:
-      score: 15
-      max: 15
-      items:
-      - id: DQ-01
-        name: Feature Coverage
-        score: 6
-        max: 6
-        passed: true
-        comment: Shows community clustering, degree variation, hub identification,
-          bridge edges, density contrast
-      - id: DQ-02
-        name: Realistic Context
-        score: 5
-        max: 5
-        passed: true
-        comment: Company social network (Engineering, Marketing, Sales) — real-world
-          neutral scenario
-      - id: DQ-03
-        name: Appropriate Scale
-        score: 4
-        max: 4
-        passed: true
-        comment: 50 nodes (within 20-200 spec range), 133 edges, realistic department
-          sizes (18/17/15)
-    code_quality:
-      score: 10
-      max: 10
-      items:
-      - id: CQ-01
-        name: KISS Structure
-        score: 3
-        max: 3
-        passed: true
-        comment: 'Flat: imports → tokens → data → layout → plot → save; no functions
-          or classes'
-      - id: CQ-02
-        name: Reproducibility
-        score: 2
-        max: 2
-        passed: true
-        comment: np.random.seed(42) set before any random operation
-      - id: CQ-03
-        name: Clean Imports
-        score: 2
-        max: 2
-        passed: true
-        comment: All four imports (os, matplotlib.pyplot, numpy, LineCollection) are
-          used
-      - id: CQ-04
-        name: Code Elegance
-        score: 2
-        max: 2
-        passed: true
-        comment: Clean, Pythonic; O(n²) FR loops are the algorithm; no fake UI elements
-      - id: CQ-05
-        name: Output & API
-        score: 1
-        max: 1
-        passed: true
-        comment: Saves as plot-{THEME}.png with dpi=300; no deprecated API
-    library_mastery:
-      score: 7
-      max: 10
-      items:
-      - id: LM-01
-        name: Idiomatic Usage
-        score: 4
-        max: 5
-        passed: true
-        comment: LineCollection for batch edge rendering; empty-scatter custom legend
-          handle; plt.setp for batch text styling; fig.text for footer
-      - id: LM-02
-        name: Distinctive Features
-        score: 3
-        max: 5
-        passed: true
-        comment: LineCollection and empty-scatter legend pattern are distinctly matplotlib;
-          could go further with FancyArrowPatch or PathPatch for curved edges
-  verdict: REJECTED
-impl_tags:
-  dependencies: []
-  techniques:
-  - annotations
-  - custom-legend
-  patterns:
-  - data-generation
-  - iteration-over-groups
-  - explicit-figure
-  dataprep: []
-  styling:
-  - minimal-chrome
-  - alpha-blending
-  - edge-highlighting
+  strengths: []
+  weaknesses: []