MilesCranmer

set nocompatible              " be iMproved, required
let g:python3_host_prog = '/usr/local/opt/[email protected]/bin/python3.8'

if empty(glob('~/.vim/autoload/plug.vim'))
  silent !curl -fLo ~/.vim/autoload/plug.vim --create-dirs
    \ https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim
  autocmd VimEnter * PlugInstall --sync | source $MYVIMRC
endif

call plug#begin('~/.vim/plugged')

MilesCranmer

#!/bin/bash
##################################
#
# THE ARCHIVE TRACKER
#
# REF: https://gist.github.com/markwk/c85a8a72bc8c03d0f510262bb5219a34/
#
# INTRODUCTION: 
# Daily script to navigate to a directory of plain text files,
# add files to git repo, calculate key stats, store stats to csv

MilesCranmer

from IPython.display import set_matplotlib_formats
set_matplotlib_formats('pdf', 'svg')
import matplotlib
import seaborn as sns
  
sns.set(font_scale=1.3)
sns.set_style("darkgrid", {"axes.facecolor": ".95"})

import matplotlib.pyplot as plt

MilesCranmer

Title: Composite Quasar Spectra From the Sloan Digital Sky Survey  
Authors: Vanden Berk D.E., Richards G.T., Bauer A., Strauss M.A., 
         Schneider D.P., Heckman T.M., York D.G., Hall P.B., Fan X., Knapp G.R.,
         Anderson S.F., Annis J., Bahcall N.A., Bernardi M., Briggs J.W., 
         Brinkmann J., Brunner R., Burles S., Carey L., Castander F.J., 
         Connolly A.J., Crocker J.H., Csabai I., Doi M., Finkbeiner D., 
         Friedman S., Frieman J.A., Fukugita M., Gunn J.E., Hennessy G.S., 
         Ivezic Z., Kent S., Kunszt P.Z., Lamb D.Q., Leger R.F., Long D.C., 
         Loveday J., Lupton R.H., Meiksin A., Merelli A., Munn J.A., 
         Newberg H.J., Newcomb M., Nichol R.C., Owen R., Pier J.R., Pope A., 

MilesCranmer

##########################################
#emcee example:
##########################################
import numpy as np
import emcee

# Number of samples for each chain.
N_samp = 1000

def log_prob(x):

MilesCranmer

#!/bin/bash

#This builds vim with python + python3 support in a conda environment. No sudo required! Replace the directories to your own.

vi_cv_path_python=/mnt/home/mcranmer/miniconda3/envs/py27/bin/python \
vi_cv_path_python3=/mnt/home/mcranmer/miniconda3/envs/main/bin/python \
./configure \
  --with-features=huge \
  --enable-multibyte \
  --enable-rubyinterp=yes \

MilesCranmer

" Delete up to begin{document}, and from end{document} to before the bibliography.

:%s/\\cite{[a-zA-Z0-9_]\+}/REF/g
:%s/\\citealt{[a-zA-Z0-9_]\+}/REF/g
:%s/\\cref{[a-zA-Z0-9_:]\+}/REF/g
:%s/\\caption{//g
:%s/\$\$.\{-}\$\$/REF/g
:%s/\$.\{-}\$/REF/g
:%s/\\[a-zA-Z_]\+{.*}/ /g
:%s/\\[a-zA-Z_]\+/ /g

MilesCranmer

def plotdf(df, x, y, sample=10000):
    df = df[[x, y]].sample(sample).copy()
    for col in [x, y]:
        df = df[(df[col] > df[col].quantile(0.01)) & (df[col] < df[col].quantile(0.99))]
    
    df.plot(
        x, y,
        linestyle='', marker='.',
        markersize=0.1)

MilesCranmer

def plotdf(df, x, y, c=None, sample=10000, alpha=0.5, color=None,
           cmap='viridis', clabel=None, xlabel=None, ylabel=None,
           noise_df=None, percentile=0.98, use_noise_df_for_framing=False,
          noise_alpha=0.1):
    
    cols_to_get = [x, y]
    if c is not None:
        cols_to_get.append(c)
    
    df = df[cols_to_get]

MilesCranmer

import numpy

from cffi import FFI

ffi = FFI()
ffi.cdef("""
void single_test(double *x, int n);
void multi_test(double **x, int n, int m);
""")
C = ffi.dlopen("./simple.so")