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import random | |
from functools import reduce | |
import numpy as np | |
from matplotlib import pyplot as plt | |
player_names = ["Alice", "Bob", "Charlie", "David"] | |
match_matrix = np.zeros((len(player_names), len(player_names))) | |
# player in the first position is the prob of winning |
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import Mathlib.Analysis.InnerProductSpace.Basic | |
import Mathlib.Analysis.NormedSpace.Basic | |
variable (F : Type) [LinearOrder F] [NormedAddCommGroup F] [InnerProductSpace ℝ F] | |
open RealInnerProductSpace | |
-- https://en.wikipedia.org/wiki/Cauchy%E2%80%93Schwarz_inequality | |
theorem cauchy_schwarz_inequality (u v : F) : | |
|⟪u, v⟫| ^ 2 ≤ ⟪u, u⟫ * ⟪v, v⟫ := by { |
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import httpx | |
HOST = "https://dsapi.expcloud.com/odata/replication" | |
IMAGE_SERVICE_KEY = "..." | |
GET_TOKEN = "https://dsauth.expcloud.com/oauth2/token" | |
CLIENT_ID = "..." | |
SECRET = "..." | |
SCOPE = "..." |
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import numpy as np | |
from matplotlib import pyplot as plt | |
from tqdm import tqdm | |
data = [] | |
num_refreshed_data = [] | |
ITERATIONS = 5_000 | |
N = 10_000 | |
T = 100 |
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{pkgs, ...}: let | |
pname = "cursor"; | |
version = "0.39.6"; | |
src = pkgs.fetchurl { | |
url = "https://downloader.cursor.sh/linux/appImage/x64"; | |
hash = "sha256-huZTzIZFAYtGRMhXGC+1sd0l2s5913QkWM+QjCtsEl0="; | |
# use this to update the hash | |
# nix hash to-sri --type sha256 $(nix-prefetch-url https://downloader.cursor.sh/linux/appImage/x64) | |
}; |
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const clickableElements = await page.evaluate(async () => { | |
const resultElements: Elem[] = [] | |
const clickables = [ | |
'a', | |
'button', | |
'input', | |
'textarea', | |
'select', | |
'details', | |
'summary' |
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import numpy as np | |
np.random.seed(256) | |
DTYPE=np.int64 | |
P = 101 | |
def is_singular(matrix: np.ndarray) -> bool: | |
return np.isclose(np.linalg.det(matrix), 0) | |
def add(x, y, m): return (x + y) % m | |
def sub(x, y, m): return (x - y) % m |
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from typing import Generator | |
import llama_cpp | |
import numpy as np | |
import regex | |
from lark import Lark, UnexpectedInput, UnexpectedToken | |
from llama_cpp import Llama | |
from pydantic import BaseModel, Field | |
import rstr | |
from itertools import islice |
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#! /usr/bin/env nix-shell | |
#! nix-shell --quiet -p uxplay -i bash | |
set -ueo pipefail | |
## Clear any existing "DROP ME" rules | |
## ref: https://stackoverflow.com/a/63855690/12393422 | |
while sudo iptables -L -n --line-number | grep "DROP ME" > /dev/null; do | |
sudo iptables -D INPUT $(sudo iptables -L -n --line-number | grep "DROP ME" | head -1 | awk '{print $1}'); | |
done |
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import time | |
import asyncio | |
import operator | |
from functools import wraps | |
from itertools import repeat, count | |
from aioitertools import iter as aiter | |
from aioitertools import islice | |
from peewee import * | |
from peewee import Expression |
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