rhaps0dy

<mujoco model="inverted pendulum">
  <compiler inertiafromgeom="true"/>
  <default>
	<joint pos="0 0 0" armature="0" damping="0" frictionloss="0" limited="true"/>
	<geom pos="0 0 0" contype="0" conaffinity="0" friction="0 0 0"
		  rgba="0.7 0.7 0 1"/>
	<tendon/>
	<motor ctrlrange="-1 1" ctrllimited="true"/>
  </default>
  <option gravity="0 0 -9.81" integrator="RK4" timestep="0.02"/>

rhaps0dy

fdsf

rhaps0dy

#!/usr/bin/env python3

import abc

import torch

from gpytorch.distributions import MultivariateNormal
from gpytorch.lazy import CholLazyTensor
from gpytorch.variational._variational_distribution import \
    _VariationalDistribution

rhaps0dy

;;; packages.el --- latexsub layer packages file for Spacemacs.
;;
;; Copyright (c) 2012-2018 Sylvain Benner & Contributors
;;
;; Author: Adrià Garriga Alonso <adria@k9>
;;
;; This file is not part of GNU Emacs.
;;
;;; License: GPLv3

rhaps0dy

import math
import numpy as np


def logsumexp(a, b):
    """Stable log(exp(a) + exp(b))"""
    m = np.maximum(a, b)
    return m + np.log(np.exp(a - m) + np.exp(b - m))

rhaps0dy

import json
from pathlib import Path

cves_dir = Path('cves/2025')
severity_count = {'CRITICAL': 0, 'HIGH': 0, 'MEDIUM': 0, 'LOW': 0, 'UNKNOWN': 0}
total = 0

for json_file in cves_dir.rglob('*.json'):
    total += 1
    try: