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complex_solving.py
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import sys
import threading
from knowledge_integration import real_time_update
from language_proficiency import understand_language_syntax
from algorithm_generation import generate_algorithm
from adaptation_merging import merge_languages
from prompt_generation import generate_initial_prompt, refine_prompt
from complex_solving import solve_complex_problem # Import the new module
def main():
# Print Python path for debugging
print("Python path:", sys.path)
# Real-Time Knowledge Update
urls = [
'https://github.com/mastermindML/mastermind',
'https://github.com/pythaiml/automindx',
'https://github.com/augml/nicegui',
'https://github.com/augml/lwe-plugin-shell',
'https://github.com/augml/ollama-python'
]
interval = 3600 # Update every hour
knowledge_update_thread = threading.Thread(target=real_time_update, args=(interval, urls))
knowledge_update_thread.start()
# Language Proficiency Example
code_snippet = "print('codephreak is ...')"
language = "Python"
syntax_explanation = understand_language_syntax(code_snippet, language)
print("Syntax Explanation:", syntax_explanation)
# Algorithm Generation Example
problem_statement = "Sort an array of integers."
language = "Python"
algorithm = generate_algorithm(problem_statement, language)
print("Generated Algorithm:", algorithm)
# Complex Problem Solving Example
problem_statement = "Develop a sustainable energy solution for urban areas."
domain = "Engineering"
solution = solve_complex_problem(problem_statement, domain)
print("Solution:", solution)
# Prompt Generation and Refinement Example
problem_context = "We need to develop a new method for real-time data analysis."
initial_prompt = generate_initial_prompt(problem_context)
print("Initial Prompt:", initial_prompt)
refined_prompt = refine_prompt(initial_prompt)
print("Refined Prompt:", refined_prompt)
if __name__ == "__main__":
main()