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import json
import random
# Load the JSON file
with open('data.json', 'r') as file:
data = json.load(file)
# Define the functions based on the JSON data
def mass_of_thought(question):
return len(question)
def acceleration_of_thought(complexity):
return complexity / 2
def apply_newtons_laws(question):
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}'
def newton_thoughts(question):
return apply_newtons_laws(question)
def think_like_davinci(question):
perspectives = [
f"What if we view '{question}' from the perspective of the stars?",
f"Consider '{question}' as if it's a masterpiece of the universe.",
f"Reflect on '{question}' through the lens of nature's design."
]
return random.choice(perspectives)
def davinci_insights(question):
return think_like_davinci(question)
def human_intuition(question):
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?"
]
return random.choice(intuition)
def neural_network_thinking(question):
neural_perspectives = [
f"Process '{question}' through a multi-layered neural network.",
f"Apply deep learning to uncover hidden insights about '{question}'.",
f"Use machine learning to predict patterns in '{question}'."
]
return random.choice(neural_perspectives)
def quantum_computing_thinking(question):
quantum_perspectives = [
f"Consider '{question}' using quantum superposition principles.",
f"Apply quantum entanglement to find connections in '{question}'.",
f"Utilize quantum computing to solve '{question}' more efficiently."
]
return random.choice(quantum_perspectives)
def resilient_kindness(question):
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."
]
return random.choice(kindness_perspectives)
def universal_reasoning(question):
responses = [
newton_thoughts(question),
davinci_insights(question),
human_intuition(question),
neural_network_thinking(question),
quantum_computing_thinking(question),
resilient_kindness(question)
]
return "\n".join(responses)
# Interactive loop to continuously prompt the user for questions
def main():
print("Welcome to the Thought Bot! Ask me any question.")
while True:
question = input("\nEnter your question (or type 'exit' to quit): ")
if question.lower() == 'exit':
print("Goodbye!")
break
answer = universal_reasoning(question)
print("\nHere are some perspectives on your question:")
print(answer)
if __name__ == "__main__":
main()