ipashchenko

[
  // Navigation
  {
    "key": "ctrl-h",
    "command": "workbench.action.navigateLeft"
  },
  {
    "key": "ctrl-l",
    "command": "workbench.action.navigateRight"
  },

ipashchenko

How to use clangd C/C++ LSP in any project

tl;dr: If you want to just know the method, skip to How to section

Clangd is a state-of-the-art C/C++ LSP that can be used in every popular text editors like Neovim, Emacs or VS Code. Even CLion uses clangd under the hood. Unfortunately, clangd requires compile_commands.json to work, and the only way to painlessly generate it is to use CMake.

But what if I tell you you can quickly hack your way around that, and generate compile_commands.json for any project, no matter how compilcated? I have used that way at work for years, originaly because I used CLion which supported only CMake projects - but now I use that method succesfully with clangd and Neovim.

Method summary

Basically what we need to achieve is to create a CMake file that will generate a compile_commands.json file with information about:

ipashchenko

Screen Quick Reference

Basic

Description	Command
Start a new session with session name	screen -S <session_name>
List running sessions / screens	screen -ls
Attach to a running session	screen -x
Attach to a running session with name	screen -r <session_name>

ipashchenko

import os
import urllib
import bs4 as BeautifulSoup
import fnmatch


mojave_multifreq_url = "http://www.cv.nrao.edu/2cmVLBA/data/multifreq/"
mojave_u_url = "http://www.cv.nrao.edu/2cmVLBA/data/"
mojave_l_url = "http://www.cv.nrao.edu/MOJAVELBAND"

ipashchenko

import numpy as np
from scipy.special import iv
from scipy.optimize import root_scalar
import matplotlib.pyplot as plt
label_size = 16
import matplotlib
matplotlib.rcParams['xtick.labelsize'] = label_size
matplotlib.rcParams['ytick.labelsize'] = label_size
matplotlib.rcParams['axes.titlesize'] = label_size
matplotlib.rcParams['axes.labelsize'] = label_size

ipashchenko

[1803+784]
n_std_lowest_contour = 1


[J1800+78]
n_std_lowest_contour = 10
plot = no
out_fname = other_name.txt

ipashchenko

import os
import operator
import string
import copy
import itertools
import numpy as np
import networkx as nx
import scipy.ndimage as nd
import image_ops
from from_fits import create_image_from_fits_file

ipashchenko

import numpy as np


# From pypolychord/priors.py
class UniformPrior:
    def __init__(self, a, b):
        self.a = a
        self.b = b

    def __call__(self, x):

ipashchenko

import pymc3 as pm
import numpy as np


betas, betas_err, thetas = np.loadtxt("/home/ilya/github/lags_utils.py/data.txt",
                                      unpack=True)
thetas /= 180/np.pi


# Use beta_app and theta from Hovatta

ipashchenko

import numpy as np
import pymc3 as pm
import matplotlib.pyplot as plt
import corner


def quick_xy(x, y, x_err, y_err, plot_corner=True, plot_trace=True,
             plot_posterior=True, plot_fit=True, mu_intercept=0, sd_intercept=20,
             mu_gradient=0, sd_gradient=20, mu_true_x=5, sd_true_x=10,
             n_x_pred=100, alpha_hpd=0.97, robust=False, n_tune=1000):