vietvudanh

Here is a list of scopes to use in Sublime Text 2/3 snippets -

ActionScript: source.actionscript.2
AppleScript: source.applescript
ASP: source.asp
Batch FIle: source.dosbatch
C#: source.cs
C++: source.c++
Clojure: source.clojure

vietvudanh

// This can be imported via ./bin/gremlin.sh -i describe.groovy
// A variable 'graph' must be defined with a JanusGraph graph
// Run it as a plugin command ':schema'
// :schema describe
// 

import org.janusgraph.graphdb.database.management.MgmtLogType
import org.codehaus.groovy.tools.shell.Groovysh
import org.codehaus.groovy.tools.shell.CommandSupport

vietvudanh

def chunks(l, n):
    """Yield successive n-sized chunks from l."""
    for i in range(0, len(l), n):
        yield l[i:i + n]
        
def chunks_iter(l, n):
    it = iter(iterable)
    while True:
       chunk = tuple(itertools.islice(it, n))
       if not chunk:

vietvudanh

import os
import sys

import pandas as pd
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
import seaborn as sns

from IPython.core.display import display, HTML

vietvudanh

import org.apache.spark.mllib.random.RandomRDDs
import org.apache.spark.sql.{types => T, functions => F}
import org.apache.spark.sql.Row

//
import spark.implicits._
val rdd = RandomRDDs.uniformRDD(spark.sparkContext, 100)
var df = rdd.toDF("A")
df = df.withColumn("id", F.monotonically_increasing_id())

vietvudanh

# metadata
GET _cat/indices?

# m, d,i 
GET _cat/nodes?V&s=ip:asc
GET _cat/master?v
GET _cat/shards?v
GET _cat/allocations?v

GET _cluster/heatlh

vietvudanh

"""just for fun on 10 fast fin
including some random stuff and error to make it more 'human'
"""

import time
import random
from selenium.webdriver import Chrome, ChromeOptions

WPM = 300
base_interrval = 60 / WPM / 50 # words length + made up for time.sleep(), this should do it

vietvudanh

// read file by line
file, err := os.Open("file.txt")
if err != nil {
    log.Fatal(err)
}
defer file.Close()

scan := bufio.NewScanner(file)
for scan.Scan() {
  line := scan.Text()

vietvudanh

vietvudanh

from pyspark.sql import SparkSession

# config
INPUT = ""
OUTPUT = ""

def main():
    spark = ( SparkSession.builder
        .appName("Viet PySpark")
        .config("spark.dynamicAllocation.enabled","true")