guerbai

# System Info:
1.  `uname -a`:

        Linux arch 5.14.9-arch2-1 #1 SMP PREEMPT Fri, 01 Oct 2021 19:03:20 +0000 x86_64 GNU/Linux

2.  `lsb_release -a`:

        LSB Version:    1.4
        Distributor ID: Arch
        Description:    Arch Linux

guerbai

var MAX_PARALLEL = 50
var sem = make(chan int, MAX_PARALLEL)
var f = "./ids.csv"

func bizFunc(id int64) {
    defer func(){<-sem}()
    // biz code.
}

func parallelWork() {

guerbai

{
  "size": 0,
  "aggs": {
    "path": {
      "filter": {
        "bool": {
          "filter": [
            {"term": {"file_type": 150}}
          ]
        }

guerbai

import subprocess

def progress_exist(name):
    ps = subprocess.Popen(['ps', 'aux'], stdout=subprocess.PIPE)
    job = subprocess.Popen(['grep', name], stdin=ps.stdout, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
    ps.stdout.close()
    out, err = job.communicate()
    out = out.decode()
    no_grep_out = 0
    if len(out) > 0:

guerbai

import csv

filename = './test.csv'
with open(filename, 'r') as f:
  data_csv = csv.DictReader(f, delimiter=',')
  for data in data_csv:
    print (data['clip_id'])

guerbai

package main

import (
	"fmt"

	"github.com/bradfitz/slice"
)

type ArtistUidInfo struct {
	ArtistId    int64

guerbai

type operate func(x, y int) int

func calculate(x int, y int, op operate) (int, error) {
  if op == nil {
    return 0, error.New("no op")
  }
  return op(x, y), nil
}

var add = func (x, y int) int {

guerbai

// 传址会修改原数据
func main() {
	x := [3]int{1,2,3}

	func(arr *[3]int) {
		(*arr)[0] = 7	
		fmt.Println(arr)	// &[7 2 3]
	}(&x)
	fmt.Println(x)	// [7 2 3]
}

guerbai

img_rows, img_cols = 28, 28
num_classes = 10

def prep_data(raw):
    y = raw[:, 0]
    out_y = keras.utils.to_categorical(y, num_classes)
    
    x = raw[:,1:]
    num_images = raw.shape[0]
    out_x = x.reshape(num_images, img_rows, img_cols, 1)

guerbai

WITH time AS 
(
    SELECT DATE(block_timestamp) AS trans_date
    FROM `bigquery-public-data.crypto_bitcoin.transactions`
)
SELECT COUNT(1) AS transactions,
    trans_date
FROM time
GROUP BY trans_date
ORDER BY trans_date