alisterburt

import torch
import torch.nn.functional as F
import einops
import eulerangles


def sample_volume_fft(volumes: torch.Tensor, slice_coords: torch.Tensor):
    if volumes.ndim == 3:  # add batching dim
        volumes = einops.rearrange(volumes, 'z y x -> 1 z y x')
    if slice_coords.ndim == 3: # add batching dim

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# activate parakeet dependencies
module load GPUmodules
module load CUDA/11.1.1-GCC-10.2.0 
module load gcc/7.2.0

export CUDACXX=$(which nvcc)
export CXX=$(which g++)

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import napari
from napari.utils.events import SelectableEventedList
from napari._qt.containers import QtListView, QtListModel
from qtpy.QtCore import Qt, QModelIndex, QSize
from qtpy.QtGui import QImage
import numpy as np


# simple object for our genes
class MyGene:

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from time import sleep
from enum import Enum

import napari
import numpy as np
import psygnal
from napari.qt.threading import thread_worker

BOARD_SIZE = 14
INITIAL_SNAKE_LENGTH = 4

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from time import sleep

import napari
import numpy as np
from napari.qt.threading import thread_worker

viewer = napari.Viewer()
bbox_layer = viewer.add_points(
    [[-1, -1], [-1, 1], [1, -1], [1, 1]], face_color='green')
points_layer = viewer.add_points([0, 0], face_color='magenta')

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def random_uniform_rotation(size=1):
    """
    Return uniform rotation vectors sampled on a sphere
    Args:
        size : int 
          The number of vectors
    Returns:
        vector: np.ndarray
          The rotation vectors
    """

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#!/usr/bin/env python

from pathlib import Path

import click
import requests


def download_pdb(accession_code: str, destination: Path):
    accession_code = accession_code.upper()

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"""
copyright:
author: "Tewodros Amberbir Habtegebrial"
email: "tedyhabtegebrial@gmail.com"

modified by Alister Burt
"""

import time
import torch

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