mjhong0708

class CollateTensors:
    """
    Pads and collates multidimensional tensors with variable length in a batch, according to maximum length.
    Adapted from https://discuss.pytorch.org/t/dataloader-for-various-length-of-data/6418/8
    """

    def __init__(self, dim=0):
        """
        :param dim: the dimension to be padded (dimension of time in sequences)
        """

mjhong0708

filetype plugin indent on 
autocmd FileType py setlocal tabstop=4 shiftwidth=4 expandtab 
set number

call plug#begin('~/.local/share/nvim/site/plugged')

" nvim-yarp
Plug 'roxma/nvim-yarp'

" NCM2

mjhong0708

Synology NAS를 linux에 마운트하기

1. SMB 사용하기

먼저 cifs-utils를 설치한다.

sudo apt install cifs-utils

이제 /etc/fstab을 열어서 부팅 시 자동으로 폴더를 mount 되게 만들어야 한다. 그 전에, 마운트할 경로는 미리 만들어야 한다. 주의할 것은, fstab에서 공백은 모두 tab이다.

mjhong0708

function gotojob {
    if (( $# == 0 )); then
        echo "gotojob v0.1.0 by Minjoon Hong"
        echo "change current directory to working directory of a slurm job"
        echo "usage: $FUNCNAME [SLURM_JOBID]"
        return
    fi
    workdir=$(scontrol show job $1 | grep Dir | awk -F '=' '{print $2}')
    cd $workdir
}

mjhong0708

import matplotlib.ticker
class MyLocator(matplotlib.ticker.AutoMinorLocator):
    def __init__(self, n=2):
        super().__init__(n=n)
matplotlib.ticker.AutoMinorLocator = MyLocator

mjhong0708

# ffmpeg -framerate $frame_rate -i $filename_pattern $output_filename
# example)
ffmpeg -framerate 30 -i filename-%03d.jpg output.mp4

mjhong0708

import ase.io
from ase.visualize.plot import plot_atoms
import matplotlib.pyplot as plt
import matplotlib_inline


def view_atoms(atoms):
    fig, axs = plt.subplots(nrows=1, ncols=3, facecolor="w", dpi=130)
    axs[0].set_title("Top", fontfamily="Arial", fontsize=16, fontweight="bold")
    axs[1].set_title("Side", fontfamily="Arial", fontsize=16, fontweight="bold")

mjhong0708

def make_progbar(num_done, total_length):
    num_done_syms = int((num_done + 1) / total_length * 30)
    if total_length > 1 and num_done == 0:
        progbar = "[" + ">".ljust(30, ".") + "]"
    elif num_done < total_length - 1:
        progbar = "[" + "=" * num_done_syms + ">".ljust(30 - num_done_syms, ".") + "]"
    else:
        progbar = "[" + ">".rjust(30, "=") + "]"

    return progbar

mjhong0708

mjhong0708

from typing import Iterable, Union


Numeric = Union[int, float]
IncarValue = Union[bool, str, Numeric, Iterable[Union[str, Numeric]]]


class Incar:
    def __init__(self, **kwargs):
        self.__dict__ = kwargs