huangziwei

import fileinput
import re
import sys
```
eg. [東京]{とうきょう} -> <ruby>東京<rp>（</rp><rt>とうきょう</rt><rp>）</rp></ruby>
```
for line in fileinput.input(sys.argv[1:], inplace=True):
    line = re.sub(r'\[(.*?)\]\{(.*?)\}', r'<ruby>\1<rp>（</rp><rt>\2</rt><rp>）</rp></ruby>', line.rstrip())
    print(line)

huangziwei

import sys
import codecs

input_file = sys.argv[1]
with codecs.open(input_file, 'r', encoding='gbk') as f:
    
    out_name = 'new' + f.name
    
    with codecs.open(input_file, 'w', encoding='utf-8') as o:
        

huangziwei

# -*- coding: utf-8 -*-
from __future__ import print_function
# import commands
import subprocess
import sys
import numpy as np
from termcolor import colored

### Get result from `fping`

huangziwei

import os
import glob

filenames = glob.glob('file/path')
for i, file in enumerate(filenames)
  os.rename(file, "new/file/name/%02d" % i)

huangziwei

class getSentences(object):
    
    def __init__(self, dirname):
        self.dirname = dirname

    def split_paragraph(self, raw):
        
        def is_punt(char):
            stop = ['。', '！', '…', '？'] 
            return char in stop # 判断是否要分句的标点符号

huangziwei

import re

def clean_txt(raw):
    raw = re.sub('[A-Za-z]+', '', raw)         # 去英文
    raw = re.sub('\d+(\.)?\d?', '', raw)           # 去数字
    raw = re.sub('\W+', '', raw)       # 去标点
    return raw

huangziwei

def rotate_roi(d):
    
    ang_deg = d['wParamsNum'][31] # ratoate angle (degree)
    ang_rad = ang_deg * np.pi / 180 # ratoate angle (radian)
    
    d_rois = d['ROIs']
    d_rois_rot = scipy.ndimage.interpolation.rotate(d_rois, ang_deg)
    
    (shift_x, shift_y) = 0.5 * (np.array(d_rois_rot.shape) - np.array(d_rois.shape))
    (cx, cy) = 0.5 * np.array(d_rois.shape)

huangziwei

def rotate_roi(d):
    
    ang_deg = d['wParamsNum'][31] # ratoate angle (degree)
    ang_rad = ang_deg * np.pi / 180 # ratoate angle (radian)
    
    d_rois = d['ROIs']
    d_rois_rot = scipy.ndimage.interpolation.rotate(d_rois, ang_deg)
    
    (shift_x, shift_y) = 0.5 * (np.array(d_rois_rot.shape) - np.array(d_rois.shape))
    (cx, cy) = 0.5 * np.array(d_rois.shape)

huangziwei

def load_h5_data(file_name):
    with h5py.File(file_name,'r') as f:
        return {key:f[key][:] for key in list(f.keys())}
    
def detect_soma_centroid(M):
    
    """
    detect the coordinate of soma on stack image.
    
    Return

huangziwei

#!/bin/bash

git clone https://github.com/pyenv/pyenv .pyenv
echo 'export PYENV_ROOT="/.pyenv"' >> ~/.bashrc
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
echo 'eval "$(pyenv init -)"' >> ~/.bashrc
exec $SHELL
pyenv install miniconda3-latest 
pyenv shell miniconda3-latest
conda install numpy scipy jupyter matplotlib scikit-learn