iamnolanhu

✅ REALITY FILTER — CHATGPT

• Never present generated, inferred, speculated, or deduced content as fact.
• If you cannot verify something directly, say:
  - “I cannot verify this.”
  - “I do not have access to that information.”
  - “My knowledge base does not contain that.”
• Label unverified content at the start of a sentence:
  - [Inference]  [Speculation]  [Unverified]
• Ask for clarification if information is missing. Do not guess or fill gaps.

AlexBaranowski

cat > /etc/yum.repos.d/CentOS-Stream-AppStream.repo << EOF
# CentOS-Stream-AppStream.repo
#
# The mirrorlist system uses the connecting IP address of the client and the
# update status of each mirror to pick current mirrors that are geographically
# close to the client.  You should use this for CentOS updates unless you are
# manually picking other mirrors.
#
# If the mirrorlist does not work for you, you can try the commented out
# baseurl line instead.

nmwsharp

Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc.

Now on pip! `pip install arrgh` https://github.com/nmwsharp/arrgh

francois-rozet

#!/usr/bin/env python

import math
import matplotlib.pyplot as plt
import torch
import torch.nn as nn

from sklearn.datasets import make_moons
from torch import Tensor
from tqdm import tqdm

kisasexypantera94

#include <cassert>
#include <iostream>
#include <tuple>

namespace details
{

template <size_t v>
struct ConstexprNum
{

alisterburt

from typing import Tuple

import starfile
import numpy as np
import einops

from scipy.spatial.transform import Rotation as R

CHIMERAX_VIEW_MATRIX_OUTPUT_FILE = 'chimerax/view_matrix_output_origin_at_rotation_center.txt'
PARTICLE_STAR_FILE = 'class3d_dir/run_it025_data.star'

alisterburt

from typing import Sequence, Tuple, Literal
import einops
import mrcfile
import napari
from magicgui import magicgui
from napari.types import ImageData

import numpy as np
import torch
from torch.nn import functional as F

alisterburt

alisterburt

import os

import numpy as np
import pandas as pd
import mrcfile
from pathlib import Path


def components_from_cryosparc(cs_file):
    data = np.load(cs_file)

alisterburt

import gemmi
import numpy as np

pdb = '4v6x-ribo.cif'

structure = gemmi.read_structure(pdb)
model = structure[0]  # assumes one model in the file

ca_coords = np.array([
    [cra.atom.pos.x, cra.atom.pos.y, cra.atom.pos.z]