lab | hapi ecosystem and was designed to work | Runtime Evironment library
kandi X-RAY | lab Summary
kandi X-RAY | lab Summary
lab is part of the hapi ecosystem and was designed to work seamlessly with the hapi web framework and its other components (but works great on its own or with other frameworks). If you are using a different web framework and find this module useful, check out hapi – they work even better together.
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Lines of Code : 213
License : No License
CopyAWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: A/B testing using cloudfront and lambda@edge
### The Globals section is a SAM specific element that defines the common attributes of the Lambda@Edge functions AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: A/B testing using cloudfront and lambda@edge
Resources:
OriginAccessIdentity:
Type: AWS::CloudFront::CloudFrontOriginAccessIdentity
Properties:
git clone https://github.com/CDAT/jupyter-vcdat.git
#Create the environment
./install_script.sh #Note: You can use -h to get help and options for installation script.
# The following two lines of code install tslint if developers want $(document).ready(function() {
$("#myInput").on("keyup", function() {
var value = $(this).val().toLowerCase();
$("#myDIV .card-content").filter(function() {
let vis = $(this).text().toLowerCase().indexOf(value) > -1;
import 'package:date_time_picker/date_time_picker.dart';
import 'package:flutter/cupertino.dart';
import 'package:flutter/material.dart';
import 'package:flutter_app/Patner.dart';
import 'package:flutter_app/dataModel.dart';
import 'packagimport cv2
import numpy as np
import matplotlib.pyplot as plt
# returns direction of gradient
# 1 if positive, -1 if negative, 0 if flat
def getDirection(one, two):
dx = two - one;
if dx == 0:
return 0;
if dx > 0:
import cv2
import numpy as np
# load image
img = cv2.imread("writing.png");
# convert to hsv
lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB);
l, a, b = cv2.split(lab);
# threshold on b channel
done = False;
low = 0;
high = 124; # [0, 124, 8]import cv2
import numpy as np
# rescale values
def rescale(img, orig, new):
img = np.divide(img, orig);
img = np.multiply(img, new);
img = img.astype(np.uint8);
return img;
# get abs(diff) of all hue values
def diff(bg, fss = '''
ab: cab, dab, gab, jab, lab, nab, tab, blab, crab, grab, scab, stab, slab
at: bat, cat, fat, hat, mat, pat, rat, sat, vat, brat, chat, flat, gnat, spat
ad: bad, dad, had, lad, mad, pad, sad, tad, glad
.......
un: bun, fun, gun, nu// First convert your JSON to object with JSON.parse(),
// I use the object directly for brevity.
const sourceObject = {
qtd_if: { agreg: "First", name: "IFs" },
rnk_pib_tot: { agreg: "Count", name: "PIB Tot" },
rnk_pib_uf: { aCommunity Discussions
Trending Discussions on lab
QUESTION
I am doing this graph with this code
...ANSWER
Answered 2021-Jun-16 at 02:58We can calculate the labels that we want to display and use it in geom_label.
QUESTION
I have this code which prints multiple tables
...ANSWER
Answered 2021-Jun-15 at 20:59So, this is a good opportunity to use purrr::map. You are half way there by applying code to one dataframe.
You can take the code that you have written above and put it into a function.
QUESTION
I have a list (dput() below) that has 4 datasets.I also have a variable called 'u' with 4 characters. I have made a video here which explains what I want and a spreadsheet is here.
The spreadsheet is not exactly how my data looks like but i am using it just as an example. My original list has 4 datasets but the spreadsheet has 3 datasets.
Essentially i have some characters(A,B,C,D) and i want to find the proportions of times each character occurs in each column of 3 groups of datasets.(Check video, its hard to explain by typing it out)
...ANSWER
Answered 2021-Jun-09 at 19:00We can loop over the list 'l' with lapply, then get the table for each of the columns by looping over the columns with sapply after converting the column to factor with levels specified as 'u', get the proportions, transpose, convert to data.frame (as.data.frame), split by row (asplit - MARGIN = 1), then use transpose from purrr to change the structure so that each column from all the list elements will be blocked as a single unit, bind them with bind_rows
QUESTION
The Question
How do I best execute memory-intensive pipelines in Apache Beam?
Background
I've written a pipeline that takes the Naemura Bird dataset and converts the images and annotations to TF Records with TF Examples of the required format for the TF object detection API.
I tested the pipeline using DirectRunner with a small subset of images (4 or 5) and it worked fine.
The Problem
When running the pipeline with a bigger data set (day 1 of 3, ~21GB) it crashes after a while with a non-descriptive SIGKILL.
I do see a memory peak before the crash and assume that the process is killed because of a too high memory load.
I ran the pipeline through strace. These are the last lines in the trace:
ANSWER
Answered 2021-Jun-15 at 13:51Multiple things could cause this behaviour, because the pipeline runs fine with less Data, analysing what has changed could lead us to a resolution.
Option 1 : clean your input dataThe third line of the logs you provide might indicate that you're processing unclean data in your bigger pipeline mmap(NULL, could mean that | "Get Content" >> beam.Map(lambda x: x.read_utf8()) is trying to read a null value.
Is there an empty file somewhere ? Are your files utf8 encoded ?
Option 2 : use smaller files as inputI'm guessing using the fileio.ReadMatches() will try to load into memory the whole file, if your file is bigger than your memory, this could lead to errors. Can you split your data into smaller files ?
If files are too big for your current machine with a DirectRunner you could try to use an on-demand infrastructure using another runner on the Cloud such as DataflowRunner
QUESTION
I got an order from school so I've tried to make them. This is my code:
...ANSWER
Answered 2021-Jun-14 at 15:11Your code has an error in it, which is the use of break statements within the if and else clauses. If you remove the breaks, it should work.
break statements can only be used within for/while loops and switch statements. You can't use them (and don't need them) in if/else statements.
If you click "run code snippet" on your example, it shows the error message Uncaught SyntaxError: Illegal break statement which would help you find this issue. Also, if you open your browser's JavaScript console, you should find this error message where you are running your code. This will help you find and fix errors in the future.
QUESTION
I need to make 5 plots of bacteria species. Each plot has a different number of species present in a range of 30-90. I want each bacteria to always have the same color in all plots, therefore I need to set an assigned color to each name. I tried to use scale_colour_manual to create a color set but, the environment created has only 16 colors. How can I increase the number of colors present in the environment created?
the code I am using can be replicated as follow:
...ANSWER
Answered 2021-Apr-26 at 12:59When you know all your 90 bacci names in front of plotting, you can try.
QUESTION
i'm new to R and shiny and also new to this forum.
I need to build a shiny app but struggle to connect the inputs with my imported data.
This is what i have so far:
...ANSWER
Answered 2021-Jun-13 at 21:19Tidyverse solution: You use your inputs to filter the dataset, right before plotting it. Therefore you need to get the data in long format with tidyr::pivot_longer() before.
Afterwards you can filter here:
QUESTION
I have stumbled upon a problem, where I can change all the text in a biplot image to the another font, with the exception of labels.
A simple example of the problem is seen below, with label text clearly differing:
Code that I used is also attached. I cannot find the solution to this issue, hopefully someone can help.
...ANSWER
Answered 2021-Jun-13 at 16:31Answer
You have to add the font.family argument to fviz_pca:
QUESTION
I have two PheWAS plots, and the number of categories (x axis, 20 categories) is the same in case of both. I would like to put them on the same plot, mirroring one of them on the y axis, but leaving the x axis titles in the middle.
Example data:
...ANSWER
Answered 2021-Jun-13 at 12:48Flipping the 2nd plot
To achieve this, we need to add two functions:
scale_y_reverse: This will flip theyaxis; 0 is at the top, 10 at the bottom.scale_x_discrete(position = top): This will put the x-axis at the top.
Fixing the y-axis limits
It would be best to keep the same y-axis limits for both plots, to make them comparable. As such, we have to supply ylim() to the first plot. For the second plot, we already have scale_y_reverse, so we can supply our limits there.
Fixing the x labels
Since you only want the labels to appear once, you'd have to use element_blank() for theme(axis.text.x) and theme(axis.title.x) in the 2nd plot. Similarly, I would remove the x-axis title in the first plot to keep it balanced.
Combining the plots
Now, you want to combine the plots. However, the first plot has a lot of information on the x-axis, while the second plot doesn't. This means they have different heights. I like to use cowplot::plot_grid for combining plots, because it allows you to set the relative height of the plots. In this case, we can use it to account for the height difference between the two plots.
Final code
QUESTION
I have the following dataframes:
...ANSWER
Answered 2021-Jun-12 at 16:08You can specify the legend shape using key_glyph and then manually specify the shape by type the same way you have done for fill.
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