benawad

" Specify a directory for plugins
call plug#begin('~/.vim/plugged')

Plug 'neoclide/coc.nvim', {'branch': 'release'}
Plug 'scrooloose/nerdtree'
"Plug 'tsony-tsonev/nerdtree-git-plugin'
Plug 'Xuyuanp/nerdtree-git-plugin'
Plug 'tiagofumo/vim-nerdtree-syntax-highlight'
Plug 'ryanoasis/vim-devicons'
Plug 'airblade/vim-gitgutter'

ddahan

# Python 3.6 min

import json
import re
import argparse

# CONSTS
DEFAULT = 'default'
VERSION = 'version'

phimachine

import np
from torch.utils.data import Dataset


class GenHelper(Dataset):
    def __init__(self, mother, length, mapping):
        # here is a mapping from this index to the mother ds index
        self.mapping=mapping
        self.length=length
        self.mother=mother

zargony

version: 2

jobs:
  test:
    docker:
      - image: rust:1
    steps:
      - checkout
      - run:
          name: Version information

odashi

#include <iomanip>
#include <iostream>
#include <cstdlib>
#include <vector>

#include <cuda.h>
#include <cudnn.h>

#define CUDA_CALL(f) { \
  cudaError_t err = (f); \

goldsborough

#include <cudnn.h>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <opencv2/opencv.hpp>

#define checkCUDNN(expression)                               \
  {                                                          \
    cudnnStatus_t status = (expression);                     \
    if (status != CUDNN_STATUS_SUCCESS) {                    \

sevamoo

brunodoamaral

def dice(im1, im2, empty_score=1.0):
    """
    Computes the Dice coefficient, a measure of set similarity.
    Parameters
    ----------
    im1 : array-like, bool
        Any array of arbitrary size. If not boolean, will be converted.
    im2 : array-like, bool
        Any other array of identical size. If not boolean, will be converted.
    Returns

simonw

git archive --format=tar.gz -o /tmp/my-repo.tar.gz --prefix=my-repo/ master

More detailed version: https://til.simonwillison.net/git/git-archive

kissgyorgy

from sqlalchemy import create_engine
from sqlalchemy.orm import Session
from myapp.models import BaseModel
import pytest


@pytest.fixture(scope="session")
def engine():
    return create_engine("postgresql://localhost/test_database")