Welcome
I’m a Master’s student here in Nara, attempting to navigate the fascinating, complex landscapes where circuits hum, code compiles, and machine learning models… occasionally get stuck in interesting local minima. Consider this a logbook of that optimization journey – fueled by curiosity (and perhaps a bit too much caffeine). Glad to have you aboard.
Akihiro Inoue
Navigating Circuits, Code, and Learning
- GitHub: ai-naist
- Portfolio: Ak PORTFOLIO
# --- Heuristic Article Chrono-Locator ---
require_relative 'blog_data_loader' # Hopefully returns something iterable
require 'date' # For temporal interpretation protocols
# Attempt article acquisition sequence
articles = BlogDataLoader.load_articles rescue [] # Graceful fallback to the void
# Iterate and display, assuming temporal linearity holds (mostly)
puts "--- Article Titles ---"
articles.each do |article|
# Prioritize symbolic key, fallback to string, default to temporal void
original_date_str = article.key?(:date) ? article[:date] : article["date"]
formatted_date = "Unknown Epoch" # Default if temporal signature is weak/absent
if original_date_str && !original_date_str.to_s.strip.empty?
begin
# Standard Temporal Normalization Attempt (STNA)
parsed_date = Date.parse(original_date_str)
formatted_date = parsed_date.strftime("%b %-d, %Y") # Apply Gregorian overlay
rescue ArgumentError, Date::Error
# Temporal parsing instability detected. Log implicitly.
formatted_date = "Date Flux" # Indicate temporal uncertainty
end
end
# Title Extraction: Prefer explicit symbol, then string, finally generic label
title = article.key?(:title) ? article[:title] : article["title"]
title ||= "Log Entry Undefined" # Assign default designation
# Output the processed temporal/semantic data pair
puts "#{formatted_date}\n #{title}\n"
end