glortho

/*

Param Helper (Jed Verity 2011)

USAGE

Given query = "?foo=bar&oof=rab":

query.param('foo')          // 'bar'
query.param('oof')          // 'rab'

glortho

#!/bin/sh
"exec" "twxec" "-e" "rand_ints()" "$0" "$@"

import random
import gevent


def rand_ints():
    while True:
        value = random.randint({{number minval}}, {{number maxval}} + 1)

glortho

#!/bin/sh
"exec" "twxec" "-e" "average_accrual_rate" "$0" "$@"

from dateutil import parser

{{docstring "Calculate the average rate at which the user has accrued friends and followers"}}
_source = {{string Message_Type ["Twitter", "GNIP"]}}

def average_accrual_rate(msg):
    if _source == "GNIP":

glortho

#!/bin/sh
"exec" "twxec" "-e" "anomaly_detection" "$0" "$@"
import json

{{ docstring "Given the keys to the values of the average and standard deviation of a distribution, this transform 
  identifies whether the value of a particular variable is an outlier with respect to that distribution.  This enrichment returns
  a user-specified key with an * anomaly * field that contains _True_ or _False_." }}

avg_key = {{string Key_name_of_distribution_average_value}}
std_key = {{string Key_name_of_distribution_standard_deviation_value}}

glortho

#!/bin/sh
"exec" "twxec" "-e" "predict_tweet" "$0" "$@"

{{docstring "Predict if a tweet belongs to a category(based on its text) using a pre-built[Supoort Vector Machine](http://en.wikipedia.org/wiki/Support_vector_machine)"}}

from trickle.nner.en.nner import tokens as tokenize
import numpy as np
import csv
import importlib
import pickle

glortho

#!/bin/sh
"exec" "twxec" "-e" "calc_emas" "$0" "$@"

import numpy as np
from itertools import count
from math import sqrt
import time


class ExpMovingAvg(object):

glortho

#!/bin/sh
"exec" "twxec" "-e" "filter_by_language" "$0" "$@"

{{docstring "Filter your simplified tweets by the language they're written in.  Choose your language from the dropdown box below."}}

language = {{string Language ["English", "French", "Arabic", "Japanese", "Spanish", "German", "Italian", "Indonesian", "Portuguese", "Korean", "Turkish", "Russian"]}}

language_map = {
    "English": "en",
    "French": "fr",

glortho

#!/bin/sh
"exec" "twxec" "-e" "filter_out_retweets" "$0" "$@"

{{docstring "Filter out retweets - because if it's not authentic, it's not for you"}}


def filter_out_retweets(msg):
    # Look for both source style as well as transform style
    # Timbr.io style:
    if "is_retweet" in msg and msg["is_retweet"]:

glortho

#!/bin/sh
"exec" "twxec" "-e" "stream()" "$0" "$@"

from trickle.gnip import PowerTrackStream

user = {{string User_Name}}
account = {{string Account_Name}}
password = {{password Account_Password}}
config = {{string GNIP_Rules_Configuration}}

glortho

#!/bin/sh
"exec" "twxec" "-e" "replay_stream()" "$0" "$@"

from trickle.gnip import PowerTrackReplayStream
import datetime as dt

user = {{string User_Name}}
account = {{string Account_Name}}
password = {{password Account_Password}}
config = {{string GNIP_Configuration}}