thoughtbot/data.json at main · Raiffs-bits/thoughtbot · GitHub

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{
    "import": "random",
    "functions": {
      "newton_thoughts": {
        "description": "Newton's laws applied to thinking",
        "parameters": ["question"],
        "returns": "force_of_thought",
        "calls": ["apply_newtons_laws"]
      },
      "apply_newtons_laws": {
        "parameters": ["question"],
        "returns": "Thought force",
        "logic": [
          "if not question: return 'No question to think about.'",
          "complexity = len(question)",
          "force = mass_of_thought(question) * acceleration_of_thought(complexity)",
          "return f'Thought force: {force}'"
        ]
      },
      "mass_of_thought": {
        "parameters": ["question"],
        "returns": "len(question)"
      },
      "acceleration_of_thought": {
        "parameters": ["complexity"],
        "returns": "complexity / 2"
      },
      "davinci_insights": {
        "description": "Da Vinci's cosmic curiosity",
        "parameters": ["question"],
        "returns": "perspectives",
        "calls": ["think_like_davinci"]
      },
      "think_like_davinci": {
        "parameters": ["question"],
        "returns": "random.choice(perspectives)",
        "perspectives": [
          "What if we view '{question}' from the perspective of the stars?",
          "Consider '{question}' as if it's a masterpiece of the universe.",
          "Reflect on '{question}' through the lens of nature's design."
        ]
      },
      "human_intuition": {
        "description": "Human Intuition",
        "parameters": ["question"],
        "returns": "random.choice(intuition)",
        "intuition": [
          "How does this question make you feel?",
          "What emotional connection do you have with this topic?",
          "What does your gut instinct tell you about this?"
        ]
      },
      "neural_network_thinking": {
        "description": "Neural Networks (AI perspective)",
        "parameters": ["question"],
        "returns": "random.choice(neural_perspectives)",
        "neural_perspectives": [
          "Process '{question}' through a multi-layered neural network.",
          "Apply deep learning to uncover hidden insights about '{question}'.",
          "Use machine learning to predict patterns in '{question}'."
        ]
      },
      "quantum_computing_thinking": {
        "description": "Quantum Computing (cutting-edge technology)",
        "parameters": ["question"],
        "returns": "random.choice(quantum_perspectives)",
        "quantum_perspectives": [
          "Consider '{question}' using quantum superposition principles.",
          "Apply quantum entanglement to find connections in '{question}'.",
          "Utilize quantum computing to solve '{question}' more efficiently."
        ]
      },
      "resilient_kindness": {
        "description": "Resilient Kindness",
        "parameters": ["question"],
        "returns": "random.choice(kindness_perspectives)",
        "kindness_perspectives": [
          "Despite losing everything, seeing life as a chance to grow.",
          "Finding strength in kindness after facing life's hardest trials.",
          "Embracing every challenge as an opportunity for growth and compassion."
        ]
      },
      "universal_reasoning": {
        "description": "Universal reasoning with all perspectives",
        "parameters": ["question"],
        "returns": "combined_responses",
        "calls": [
          "newton_thoughts",
          "davinci_insights",
          "human_intuition",
          "neural_network_thinking",
          "quantum_computing_thinking",
          "resilient_kindness"
        ]
      }
    },
    "example_use": {
      "question": "Why do humans think the way they do?",
      "answer": "universal_reasoning(question)"
    }
  }