| # one or the other, NOT both | |
| [url "https://github"] | |
| insteadOf = git://github | |
| # or | |
| [url "[email protected]:"] | |
| insteadOf = git://github |
| import sys | |
| import inspect | |
| import time | |
| import traceback | |
| def deeper(func, depth): | |
| if depth > 0: | |
| return deeper(func, depth-1) | |
| else: | |
| return func() |
| import os | |
| import yaml | |
| import logging.config | |
| import logging | |
| import coloredlogs | |
| def setup_logging(default_path='logging.yaml', default_level=logging.INFO, env_key='LOG_CFG'): | |
| """ | |
| | **@author:** Prathyush SP | |
| | Logging Setup |
| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
| # | |
| # stopwords.txt | |
| # | |
| # Freely available stopword list, balancing coverage and size. | |
| # | |
| # From http://www.lextek.com/manuals/onix/stopwords1.html | |
| a | |
| about | |
| above | |
| across |
| i | |
| me | |
| my | |
| myself | |
| we | |
| our | |
| ours | |
| ourselves | |
| you | |
| your |
| //Based on http://www.samliew.com/icval/ | |
| function validateNRIC(str) { | |
| if (str.length != 9) | |
| return false; | |
| str = str.toUpperCase(); | |
| var i, | |
| icArray = []; | |
| for(i = 0; i < 9; i++) { |
orders (3.4m rows, 206k users):
order_id: order identifieruser_id: customer identifiereval_set: which evaluation set this order belongs in (see SET described below)order_number: the order sequence number for this user (1 = first, n = nth)order_dow: the day of the week the order was placed onorder_hour_of_day: the hour of the day the order was placed ondays_since_prior: days since the last order, capped at 30 (with NAs for order_number = 1)products (50k rows):