benkrikler

edit_path () 
{ 
    local tmpfile=$(mktemp);
    local variable="${1:-PATH}";
    tr ':' '\n' <<< "${!variable}" > "$tmpfile";
    "$EDITOR" "$tmpfile";
    export ${variable}="$(tr '\n' : < "$tmpfile"| sed -e 's/:$//' )"
}

benkrikler

def flatten_to_wideform(df, mask_column=None, max_objects=None):
    # get the list columns
    lst_cols = [col for col, dtype in df.dtypes.items() 
                if pd.api.types.is_object_dtype(dtype) 
                and df[col].head(10).apply(lambda x: isinstance(x, (list, np.ndarray, tuple))).all()
               ]
    if not lst_cols:
        return df        

    # all columns except `lst_cols`

benkrikler

import pandas as pd


_interval_regex = r"^(?P<open>[[(])"
_interval_regex += r"(?P<low>-inf|[0-9][.0-9]*)"
_interval_regex += r"\s*,\s*"
_interval_regex += r"(?P<high>\+?inf|[0-9][.0-9]*)"
_interval_regex += r"(?P<close>[)\]])$"

benkrikler

import numpy as np


class MaskedUprootTree():
    def __init__(self, tree, mask=None):
        if isinstance(tree, MaskedUprootTree):
            self.tree = tree.tree
            self._mask = tree._mask
        else:
            self.tree = tree

benkrikler

from math import pi, cos, sin, sinh, sqrt, asinh, atan2, fabs


class LorentzVector(object):
    def __init__(self, x, y, z, T, r2=None):
        self.x = x
        self.y = y
        self.z = z
        self.T = T
        if r2:

benkrikler

#! /usr/bin/env python                                                             
import tarfile                                                                     
import re                                                                          
import os                                                                          
import subprocess                                                                  
                                                                                   
                                                                                   
def find_tar_files(top_dir, exclude):                                              
    tar_files = []                                                                 
    for root, dirs, files in os.walk(top_dir):