Elfsong

git log --format='%aN' | sort -u | while read name; do echo -en "$name\t"; git log --author="$name" --pretty=tformat: --since ==2020–05-02 --until=2018-06-11 --numstat | awk '{ add += $1; subs += $2; loc += $1 - $2 } END { printf "added lines: %s, removed lines: %s, total lines: %s\n", add, subs, loc }' -; done

Elfsong

"""
Implementation of ESIM(Enhanced LSTM for Natural Language Inference)
https://arxiv.org/abs/1609.06038
"""
import numpy as np
from keras.layers import *
from keras.activations import softmax
from keras.models import Model

def StaticEmbedding(embedding_matrix):

Elfsong

// TODO: FILE_BYTES_REQUEST

for (int initial_position = 0; initial_position < qq.fileDescriptor.fileSize; ) {
  long offset = 0;
  long remained = qq.fileDescriptor.fileSize - initial_position;

  if (remained > blockSize) {
    offset = blockSize;
  } else {
    offset = remained;

Elfsong

(_,_,_) -> (0,_,_) = remove all three pitchs
(_,_,_) -> (a,b,c) = a + b == 3 or a + c == 3 retrive all three notes or octaves

Elfsong

import json
import os
import re
import jieba

ROOT_PATH = "/Users/elfsong/PycharmProjects/BERT_demo"

RESOURCE_PATH = os.path.join(ROOT_PATH, "Test text")

Elfsong

def vbyte_encode(num):

    # out_bytes stores a list of output bytes encoding the number
    out_bytes = []
    
    ###
    # Your answer BEGINS HERE
    ###
    while num >= 128:
        out_bytes = [num % 128] + out_bytes

Elfsong

def avsplit1(s, n):
    fn = len(s)//n
    rn = len(s)%n
    ar = [fn+1]*rn+ [fn]*(n-rn)
    si = [i*(fn+1) if i<rn else (rn*(fn+1)+(i-rn)*fn) for i in range(n)]
    sr = [s[si[i]:si[i]+ar[i]] for i in range(n)]
    return sr

def avsplit2(s, n):
    fn = len(s)//n

Elfsong

# coding: utf-8
import ast
import clr
import json
import os
import re
from StoryTelling.tts import append_pronunciation
from StoryTelling.tts.tools import OnlineTts
from Speech.Cognitive.Services import TimeLine

Elfsong

import os
import time
from multiprocessing import Process

import cocos
import cv2
import numpy as np
import pyglet
from PIL import ImageGrab
from cocos.actions import CallFunc

Elfsong

import os

import xlrd

ROOT_PATH = r"C:\Users\t-midu\PycharmProjects\Scenario"
RESOURCE_PATH = os.path.join(ROOT_PATH, "resource")
file_path = os.path.join(RESOURCE_PATH, "sentence_class.xls")

data = xlrd.open_workbook(file_path)