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chore(highcharts): update quality score 90 and review feedback for line-timeseries
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plots/line-timeseries/implementations/python/highcharts.py

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"""pyplots.ai
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""" anyplot.ai
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line-timeseries: Time Series Line Plot
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Library: highcharts | Python 3.13.11
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Quality: Regen from 92
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Library: highcharts unknown | Python 3.13.13
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Quality: 90/100 | Updated: 2026-05-09
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"""
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import math
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# Per-library metadata for highcharts implementation of line-timeseries
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# Auto-generated by impl-generate.yml
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library: highcharts
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language: python
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specification_id: line-timeseries
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created: '2025-12-26T08:33:45Z'
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updated: '2026-05-09T03:37:31Z'
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updated: '2026-05-09T03:41:48Z'
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generated_by: claude-haiku
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workflow_run: 25590583671
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issue: 2006
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preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/line-timeseries/python/highcharts/plot-dark.png
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preview_html_light: https://storage.googleapis.com/anyplot-images/plots/line-timeseries/python/highcharts/plot-light.html
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preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/line-timeseries/python/highcharts/plot-dark.html
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quality_score: null
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quality_score: 90
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review:
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strengths: []
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weaknesses: []
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strengths:
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- Perfect visual quality with excellent readability in both themes
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- Flawless theme-adaptive chrome implementation (backgrounds, text, grid)
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- Spec-compliant intelligent datetime formatting and proper axis labels
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- Excellent realistic data showing complete seasonal temperature cycle
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- Clean, reproducible code with proper Highcharts library usage
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- Expert use of Chart() API with distinctive datetime features
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weaknesses:
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- Design Excellence is competent but not exceptionally innovative
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- Library Mastery uses standard features well but not in uniquely distinctive ways
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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 for light theme
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Chrome: Title "line-timeseries · highcharts · pyplots.ai" is dark (INK color #1A1A17) and clearly readable. Subtitle "Daily Temperature Readings - 2024" visible in soft dark text (#4A4A44). X-axis labeled "Date" with monthly tick labels (Jan through Dec 2024) in soft dark text. Y-axis labeled "Temperature (°C)" with values from -10 to 35°C in soft dark text. All axis and tick labels are perfectly readable against the light background. Grid lines are subtle.
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Data: Teal/green line (#009E73 - Okabe-Ito position 1, brand color) shows 365 daily temperature readings. Clear seasonal pattern: winter low (~0°C in Jan), spring warming, summer peak (~30°C in Jul), fall decline back to ~5°C in Dec. Line is 5px thick and clearly visible. Legend shows "Temperature" with light background box.
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Legibility verdict: PASS - All text is readable against light background. No dark-on-light contrast issues.
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Dark render (plot-dark.png):
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Background: Warm near-black (#1A1A17) - correct for dark theme
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Chrome: Title is light text (INK_LIGHT color #F0EFE8) and clearly readable against dark background. Subtitle visible in slightly softer light text (#B8B7B0). X-axis and Y-axis labels both in light text and fully legible. Tick labels in soft light text (#B8B7B0) and clearly readable. No dark-on-dark failures present. Grid lines are subtle light lines visible on both axes.
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Data: The teal/green line color (#009E73) is IDENTICAL to the light render, confirming proper theme handling. Data colors do not flip - only chrome (background, text, grid) flips between themes. Same seasonal temperature pattern visible and just as clear as in light render.
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Legibility verdict: PASS - All text is readable against dark background. No dark-on-dark issues. Brand green (#009E73) is still visible and distinguishable.
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Summary: Both renders pass legibility checks. The Okabe-Ito data color (#009E73) is identical between themes. Theme-adaptive chrome (backgrounds #FAF8F1 light / #1A1A17 dark, text colors properly light/dark) is flawlessly implemented in both renders. This is a proper theme-adaptive implementation.
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criteria_checklist:
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visual_quality:
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score: 30
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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: 8
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max: 8
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passed: true
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comment: All font sizes explicitly set (56px title, 36px axes, 28px ticks);
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perfectly readable in both themes
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- id: VQ-02
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name: No Overlap
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score: 6
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max: 6
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passed: true
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comment: Monthly tick spacing prevents overlap; all labels fully readable
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- id: VQ-03
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name: Element Visibility
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score: 6
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max: 6
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passed: true
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comment: Line width 5px is clear; grid lines subtle but visible; 365 data
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points well-adapted
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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: 'Uses #009E73 (Okabe-Ito colorblind-safe) with excellent contrast'
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- id: VQ-05
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name: Layout & Canvas
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score: 4
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max: 4
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passed: true
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comment: Plot fills 70-80% of canvas; balanced margins; nothing cut-off
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- id: VQ-06
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name: Axis Labels & Title
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score: 2
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max: 2
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passed: true
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comment: Y-axis includes units; X-axis descriptive; title correct format
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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: 'Data #009E73 identical in both renders; backgrounds and text colors
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properly theme-adaptive'
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design_excellence:
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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: 5
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max: 8
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passed: false
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comment: Professional theme-adaptive design with good hierarchy; well-executed
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but standard rather than distinctive
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- id: DE-02
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name: Visual Refinement
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score: 3
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max: 6
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passed: false
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comment: Legend styling with box, generous margins, subtle grid; some refinement
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but minimal customization
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- id: DE-03
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name: Data Storytelling
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score: 4
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max: 6
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passed: false
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comment: Clear seasonal narrative (winter low → summer peak); good visual
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hierarchy through data selection
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spec_compliance:
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score: 15
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max: 15
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items:
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- id: SC-01
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name: Plot Type
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score: 5
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max: 5
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passed: true
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comment: Correct time series line chart
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- id: SC-02
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name: Required Features
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score: 4
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max: 4
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passed: true
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comment: Datetime axis, intelligent date formatting, grid lines, proper spacing
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all present
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- id: SC-03
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name: Data Mapping
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score: 3
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max: 3
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passed: true
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comment: Dates correctly map to X-axis, temperature to Y-axis, all 365 points
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visible
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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 data
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data_quality:
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score: 15
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max: 15
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items:
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- id: DQ-01
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name: Feature Coverage
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score: 6
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max: 6
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passed: true
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comment: Complete seasonal cycle with winter low, summer peak, daily variations
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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: Daily temperature data is realistic; Northern Hemisphere pattern
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is factually accurate
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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 (-10 to 35°C) and seasonal amplitude realistic; no impossible
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data
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code_quality:
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score: 10
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max: 10
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items:
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- id: CQ-01
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name: KISS Structure
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score: 3
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max: 3
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passed: true
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comment: Straightforward linear flow with no unnecessary functions
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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: Uses random.seed(42) for deterministic data
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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: All imports used appropriately
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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: Clean, Pythonic, no over-engineering or fake functionality
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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: Correct PNG and HTML output with theme suffixes
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library_mastery:
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score: 8
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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: 5
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max: 5
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passed: true
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comment: Expert use of Chart(), HighchartsOptions, LineSeries; proper datetime
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axis configuration
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- id: LM-02
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name: Distinctive Features
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score: 3
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max: 5
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passed: false
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comment: Uses Highcharts datetime features (dateTimeLabelFormats, xDateFormat)
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but relatively standard across charting libraries
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verdict: APPROVED
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impl_tags:
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dependencies:
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- selenium
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techniques:
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- html-export
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patterns:
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- data-generation
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dataprep: []
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styling: []

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