Sebastian M. Schramm sebastianschramm

name: geo-sim description: > Simulate geopolitical conflicts and diplomatic crises using a virtual war room of AI-modeled state actors. Trigger explicitly on:

"simulate a conflict / scenario"
"war game a scenario"
"how would countries respond to"
"geopolitical / diplomatic crisis simulation"
"model a trade war / sanctions"

name: war-room description: > Simulate geopolitical conflicts and diplomatic crises using a virtual war room of AI-modeled state actors. Use this skill explicitly when the user requests:

"simulate a conflict"
"war game a scenario"
"how would countries respond to"
"geopolitical simulation"
"diplomatic crisis simulation"

	import torch
	from litserve import LitAPI, LitServer
	from pydantic import BaseModel, conint
	from pydantic_settings import BaseSettings
	from transformers import AutoModelForSequenceClassification, AutoTokenizer


	class ToxicitySettings(BaseSettings):
	model_id: str = "s-nlp/roberta_toxicity_classifier"
	port: conint(ge=1024, le=65535) = 8000 # type: ignore

	from typing import Union


	def is_valid_type(object):
	return isinstance(object, Union[str, None])


	def is_valid_type_new(object):
	return isinstance(object, str \| None)

	import pandas as pd
	from pandas.testing import assert_frame_equal

	df_one = pd.DataFrame(
	{"city": ["Tokyo", "Delhi"], "population": [13_515_271, 16_753_235]}
	)
	df_two = df_one[["population", "city"]].copy(deep=True)


	assert_frame_equal(left=df_one, right=df_two)

	names = ['a', 'b', 'c']
	values = [10, 54, 2]
	values_too_long = values + [10]

	"""
	>>> {k: v for k, v in zip(names, values_too_long, strict=True)}
	ValueError: zip() argument 2 is longer than argument 1

	>>> {k: v for k, v in zip(names, values_too_long, strict=False)}
	{'a': 10, 'b': 54, 'c': 2}

	import pandas as pd
	from pandarallel import pandarallel
	from sklearn.datasets import fetch_20newsgroups


	def preprocess_text(row: pd.Series) -> float:
	return [word.lower() for word in row.text.split()]


	def get_data() -> pd.DataFrame: