| -- enviroment : Mysql 5.5 | |
| -- worst peerformance frist | |
| --explain query indicate it not depend on any index on partent query ( so it will full scan on table with 11M ) | |
| SELECT co_id FROM argo.v_r_p_master WHERE mn_code | |
| IN ( | |
| SELECT pk_data FROM argo.s_r_d_l WHERE insert_date > (NOW() - INTERVAL 1 DAY) | |
| AND table_name IN ('argo.mn_code') AND pk_data IS NOT NULL | |
| ); | |
| # https://codility.com/programmers/custom_challenge/chlorum2014 | |
| # not pass yet | |
| # SAMPLE DATA | |
| # C=[1, 3, 0, 3, 2, 4, 4] | |
| # D=[6, 2, 7, 5, 6, 5, 2] | |
| # K=5 | |
| C=[1,3,0,3,2,4,4] | |
| D=[6,2,7,5,6,5,2] | |
| K=2 |
| // virtual is all about binding , early binding in compliation so it will determine abject and so method to call | |
| // as reference is or late binding shen method is virtual so binding determine in run time dynamically | |
| // according to actual type of object and sall it's method | |
| // depend on http://stackoverflow.com/questions/2391679/why-do-we-need-virtual-methods-in-c | |
| #include <iostream> | |
| using namespace std; | |
| class Animal | |
| { |
| ## http://www.w3.org/TR/SRI | |
| ## modern browser chrome 45+ or firefix 43+ will check hash of javascript or css resource | |
| ## aginst new attribute 'integrity' and if not matched browser will not load this resources | |
| alg=sha256 | |
| resource=resource.css; | |
| integrity=$(cat $resource | openssl dgst -$alg -binary | openssl enc -base64 -A) | |
| printf '<link rel="stylesheet" href="resource.css" integrity="%s%s">\n' "$alg-$integrity" |
| {"sku-1":{"att-a":"att-a-7","att-b":"att-b-3","att-c":"att-c-10","att-d":"att-d-10","att-e":"att-e-15","att-f":"att-f-11","att-g":"att-g-2","att-h":"att-h-7","att-i":"att-i-5","att-j":"att-j-14"},"sku-2":{"att-a":"att-a-9","att-b":"att-b-7","att-c":"att-c-12","att-d":"att-d-4","att-e":"att-e-10","att-f":"att-f-4","att-g":"att-g-13","att-h":"att-h-4","att-i":"att-i-1","att-j":"att-j-13"},"sku-3":{"att-a":"att-a-10","att-b":"att-b-6","att-c":"att-c-1","att-d":"att-d-1","att-e":"att-e-13","att-f":"att-f-12","att-g":"att-g-9","att-h":"att-h-6","att-i":"att-i-7","att-j":"att-j-4"},"sku-4":{"att-a":"att-a-9","att-b":"att-b-14","att-c":"att-c-7","att-d":"att-d-4","att-e":"att-e-8","att-f":"att-f-7","att-g":"att-g-14","att-h":"att-h-9","att-i":"att-i-13","att-j":"att-j-3"},"sku-5":{"att-a":"att-a-8","att-b":"att-b-7","att-c":"att-c-10","att-d":"att-d-4","att-e":"att-e-11","att-f":"att-f-4","att-g":"att-g-8","att-h":"att-h-8","att-i":"att-i-7","att-j":"att-j-8"},"sku-6":{"att-a":"att-a-6","att-b":"att-b-2","att-c":"at |
Input Data Given json contains 20K articles. Each article contains set of attributes with one set value.
Recommendation Engine Requirements Calculate similarity of articles identified by sku based on their attributes values. Attributes with name higher in alphabet (a is higher than z) is weighted with heavier weight.
Absolute weighting values are up to engineer. Relative order as described above should be maintained.
| { | |
| "maxerr": 10, | |
| "curly": true, | |
| "boss": true, | |
| "expr": true, | |
| "node": true, | |
| "onevar": true, | |
| "white": true, | |
| "eqeqeq": true, | |
| "latedef": true, |
| { | |
| indent_size: 4, | |
| indent_char: " ", | |
| eol: " ", | |
| indent_level: 0, | |
| indent_with_tabs: false, | |
| preserve_newlines: true, | |
| max_preserve_newlines: 10, | |
| jslint_happy: false, | |
| space_after_anon_function: false, |
| var request = require("request"); | |
| /** | |
| curl https://{subdomain}.zendesk.com/api/v2/tickets.json \ | |
| -d '{"ticket": {"subject": "My printer is on fire!", "comment": { "body": "The smoke is very colorful." }}}' \ | |
| -H "Content-Type: application/json" -v -u {email_address}:{password} -X POST | |
| */ | |
| var options = { | |
| url: "https://{subdomain}.zendesk.com/api/v2/tickets.json", | |
| method: "POST", |
“I don’t have time to write tests because I am too busy debugging.”
Why
The goal of unit testing is: