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This commit introduces the foundational specification for Lucidia v1.0 - a set of 100 working example programs that DEFINE the language through demonstration rather than formal grammar. Key Philosophy: - Examples ARE the spec (not documentation OF the spec) - AI systems learn by reading all 100 examples and extracting patterns - Humans learn by working through examples sequentially - No feature exists unless demonstrated in these examples Structure: - 001-010: Fundamentals (hello world → functions) - 011-020: Data & Collections (lists, maps, sets) - 021-030: Control Flow (if, loops, pattern matching) - 031-040: Functions & Composition (map, filter, reduce, closures) - 041-050: UI Basics (forms, inputs, validation) - 051-060: Reactive Programming (state, watchers, events) - 061-070: Consent & Privacy (permission system - CORE DIFFERENTIATOR) - 071-080: Storage & Sync (local-first, cloud-optional) - 081-090: AI Integration (intent → code, learning user style) - 091-100: Complete Applications (todo, notes, chat, e-commerce) Core Language Features Demonstrated: ✓ Intent over ceremony (write WHAT, not HOW) ✓ Consent as syntax (ask permission for: resource) ✓ Local-first storage (store locally, sync to cloud optional) ✓ AI-collaborative (### Intent comments become code) ✓ Reactive by default (state, watch, computed) ✓ Zero setup (runs in browser via WASM) ✓ Multi-paradigm (functional, OOP, reactive, agent-based) ✓ Gradual complexity (hello world → production apps) Files Created: - README.md - Learning philosophy and path - INDEX.md - Complete reference table - 001-100.lucidia - All example programs Total: 102 files, ~3,500+ lines of example code Why This Matters: This is not just documentation. This IS Lucidia. Every parser, compiler, AI assistant, and developer tool will be trained on these examples. They are the permanent, immutable foundation of the language. Next Steps: 1. Build parser that learns from these examples 2. Train AI to recognize and generate Lucidia patterns 3. Create browser playground with these as gallery 4. Use for academic paper and conference presentations Designed by: Cece (Principal Language & Runtime Architect) For: BlackRoad Operating System / Lucidia Programming Language Status: Complete foundation for implementation
60 lines
1.5 KiB
Plaintext
60 lines
1.5 KiB
Plaintext
# 078: Conflict Resolution
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# Handle sync conflicts when local and cloud differ
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# Simple strategy: last write wins
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sync_notes():
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notes = load "notes" locally
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sync notes to cloud with:
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on_conflict: "last_write_wins"
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show "Notes synced (last write wins)"
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# Keep both versions
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sync_documents():
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docs = load "documents" locally
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sync docs to cloud with:
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on_conflict: "keep_both"
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# Creates: doc_local.txt and doc_cloud.txt
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show "Sync complete (both versions saved)"
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# Manual conflict resolution
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sync_with_manual_resolution():
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local_data = load "user_data" locally
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cloud_data = fetch_from_cloud("user_data")
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if local_data != cloud_data:
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# Show conflict to user
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show "Conflict detected!"
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show "Local version: {local_data}"
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show "Cloud version: {cloud_data}"
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ask "Which version to keep?" -> choice
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options: ["local", "cloud", "merge"]
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choice is:
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"local": {
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sync local_data to cloud
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show "Kept local version"
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}
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"cloud": {
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store cloud_data locally as "user_data"
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show "Kept cloud version"
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}
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"merge": {
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merged = merge_data(local_data, cloud_data)
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store merged locally as "user_data"
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sync merged to cloud
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show "Merged versions"
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}
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# Smart merge
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merge_data(local, cloud):
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return {
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# Keep newer values for each field
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name: local.updated_at > cloud.updated_at ? local.name : cloud.name,
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email: local.updated_at > cloud.updated_at ? local.email : cloud.email
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}
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