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| # /// script | |
| # requires-python = ">=3.11" | |
| # dependencies = [ | |
| # "python-kasa", | |
| # "lz4", | |
| # "pillow", | |
| # ] | |
| # /// | |
| # Requires the room-cleaning branch for clean.current_map_id: | |
| # pip install git+https://github.com/davidefiocco/python-kasa@feat/room-cleaning-improvements |
Purpose: This primer teaches the foundational concepts behind energy-economy-environment (E3) modeling, then shows how different modeling approaches tackle the concrete questions that drive climate and energy policy. It is designed for readers with a quantitative background who are new to the field.
How to use this document: Parts I–III build the conceptual toolkit — economics, mathematics, and energy systems. Part IV is the heart: eight policy questions, each analyzed through multiple modeling paradigms that often give different answers. Part V covers practical integration. Appendix E provides standalone one-page profiles of each modeling paradigm, referenced throughout.
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| #!/usr/bin/env python3 | |
| from smolagents import OpenAIServerModel | |
| from smolagents import CodeAgent, VisitWebpageTool, FinalAnswerTool | |
| from smolagents.tools import tool, Tool | |
| from datetime import datetime | |
| import os | |
| EXA_API_KEY = os.getenv("EXA_API_KEY") | |
| HF_TOKEN = os.getenv("HF_TOKEN") |
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| {"text":"Spam spam lovely spam!"} | |
| {"text":"I like scrambled eggs."} | |
| {"text":"I prefer spam!"} |
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| {"removed":"These results suggested that the distribution of bacterial communities was driven more by sample types than the separate caves from which samples were collected.","added":"These results suggest that the distribution of bacterial communities is driven more by sample types than the separate caves from which samples were collected.","meta":{"score":1}} |
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