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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
50 lines
1.1 KiB
Plaintext
50 lines
1.1 KiB
Plaintext
# 075: Ephemeral Storage
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# Temporary data that doesn't persist
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# Store in memory only (lost on refresh)
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store session_token ephemeral
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store temporary_files ephemeral
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# Session-specific data
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current_session = {
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id: generate_session_id(),
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started_at: now(),
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active_tab: "home"
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}
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store current_session ephemeral as "session"
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# Form draft (auto-save while editing)
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state draft_message = ""
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watch draft_message:
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# Save draft in memory
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store draft_message ephemeral as "message_draft"
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# Load draft on page reload
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draft = load "message_draft" ephemeral or ""
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# Ephemeral vs local comparison
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save_user_data(data, remember_me):
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if remember_me:
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# Persist across sessions
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store data locally as "user"
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else:
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# Only for this session
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store data ephemeral as "user"
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# Shopping cart example
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state cart = []
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add_to_cart(item):
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cart.append(item)
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# Don't persist - cart resets on page refresh
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store cart ephemeral as "cart"
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# Upload progress (doesn't need to persist)
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track_upload(file):
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progress = { file: file.name, percent: 0 }
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store progress ephemeral as "upload_progress"
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# Update as upload progresses...
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