firemanxbr

variable "username_arns" {
  type = "list"
}

variable "ecr_name" {
  description = "Name of the repository."
  type        = string
  default     = "topia"
}

firemanxbr

array = []

def _print(string, index): 
    if index == len(string):
        array.append(''.join(string))
        
        if index == len(array):
            print(array)
        
        return

firemanxbr

Write a function that checks an expression has matching brackets and returns true if it does and false otherwise.

 

e.g.

'The is a (full) sentence.' -> True

'(x + y)/ 4' -> True

firemanxbr

from lfw import lfw_acquisition
from task import face_rec

import numpy
import time


TIME_LOCAL = time.localtime()
URL = 'http://vis-www.cs.umass.edu/lfw/lfw.tgz'
MD5SUM = 'a17d05bd522c52d84eca14327a23d494'

firemanxbr

### 1
############################################################
Jul 04 2019 11:02:53:1562238173 - Starting Producer Process...
Jul 04 2019 11:02:53:1562238173 - Starting Creating Tasks...
Jul 04 2019 11:02:53:1562238173 - Total of Tasks Created: ('%s', 13233)
Jul 04 2019 11:02:53:1562238173 - Getting Tasks Done...
Jul 04 2019 11:02:53:1562238173 - Total of Tasks Finished: ('%s', 19483)
Jul 04 2019 11:02:53:1562238173 - Calculating Average Vectors...
Jul 04 2019 11:02:53:1562238173 - Result of calculation the average of values:
[-1.28076958e-01  1.01553618e-01  5.64279974e-02 -3.82464919e-04

firemanxbr

import os
import uuid

from flask import Flask
from flask import request
from flask import Response
import json
import numpy

import task

firemanxbr

[-0.12110219  0.07778011  0.05862561 -0.06739802 -0.09494878 -0.02356888
  0.03665838 -0.14112727  0.13716194 -0.16521029  0.19339843 -0.14413215
 -0.30511448 -0.00584946 -0.04346704  0.17418781 -0.05388782 -0.13542999
 -0.19144855 -0.07069826 -0.03808417  0.05763069 -0.02426734  0.09835827
 -0.04918713 -0.21698229 -0.05045231 -0.05246273 -0.04034742 -0.09073798
 -0.00709551  0.19822432 -0.1093476  -0.01838927  0.01872099  0.10972119
 -0.09851629 -0.11887749  0.14072435 -0.10864477 -0.1431265  -0.03212778
  0.09396286  0.22815582  0.15397763 -0.05741321  0.00585715 -0.09679608
  0.11760779 -0.30035311 -0.04734506  0.1183826   0.06383863  0.10817996
  0.14121276 -0.19078444  0.04363749  0.18039782 -0.17052619  0.05111434

firemanxbr

[-0.12110219  0.07778011  0.05862561 -0.06739802 -0.09494878 -0.02356888
  0.03665838 -0.14112727  0.13716194 -0.16521029  0.19339843 -0.14413215
 -0.30511448 -0.00584946 -0.04346704  0.17418781 -0.05388782 -0.13542999
 -0.19144855 -0.07069826 -0.03808417  0.05763069 -0.02426734  0.09835827
 -0.04918713 -0.21698229 -0.05045231 -0.05246273 -0.04034742 -0.09073798
 -0.00709551  0.19822432 -0.1093476  -0.01838927  0.01872099  0.10972119
 -0.09851629 -0.11887749  0.14072435 -0.10864477 -0.1431265  -0.03212778
  0.09396286  0.22815582  0.15397763 -0.05741321  0.00585715 -0.09679608
  0.11760779 -0.30035311 -0.04734506  0.1183826   0.06383863  0.10817996
  0.14121276 -0.19078444  0.04363749  0.18039782 -0.17052619  0.05111434

firemanxbr

version: '2'
services:
    rabbit:
        hostname: rabbit
        image: rabbitmq:3.7.15
        environment:
            - RABBITMQ_DEFAULT_USER=admin
            - RABBITMQ_DEFAULT_PASS=mypass
        ports:
            - "5672:5672"

firemanxbr

def min_by_key(key, records):
    """
    Step 1
    
    Throughout this interview, we'll pretend we're building a new analytical
    database. Don't worry about actually building a database though – these will
    all be toy problems.
    
    Here's how the database works: all records are represented as maps, with string
    keys and integer values. The records are contained in an array, in no