React storybook

Oct 10, 20160 likes857 views

This document introduces React Native Storybook, which provides a development environment for building React Native user interface components and developing them in isolation. It allows creating different states of components through stories and viewing them live. This helps with collaboration with designers and ensures components work as intended visually. The document explains how to set up React Native Storybook and add stories for components through examples. It emphasizes Storybook allows a tight feedback loop for developing new components.

WHO AM I?
Jair Trejo
Full-stack developer at Chegg
@jairtrejo on Twitter
2

5
import React from 'react';
import { View } from 'react-native';
import { storiesOf, action } from '@kadira/react-native-storybook';
import { SpeechBubble } from ‘../../components/SpeechBubble’;
storiesOf(‘SpeechBubble');
.add('default view', () => (
<View style={{width: 300}}>
<SpeechBubble message="Default, explanatory bubble"
severity={ SpeechBubble.SEVERITY.INFO }
tailPosition={ 50 }/>
</View>
))
.add('warning', () => (
<SpeechBubble message="Watch out! Something unexpected just happened"
severity={ SpeechBubble.SEVERITY.WARNING }
tailPosition={ 50 }/>
));

7
A tight feedback loop for
developing new components and
new states for those components.

8
A clear, convenient place to
communicate and collaborate with
designers.

9
A place where you can visually
check that everything works and
looks as intended.

16
const simpleFavorite = new Favorite({
id: '1',
title: 'Learning React Native…’,
url: 'https://amzn.com/1491929006',
shortUrl: 'amazon.com/gp/product/149…',
source: new Source({
type: 'tweet',
id: '707050076170891264',
from: new Friend({
name: 'Bonnie Eisenman',
username: 'brindelle'
})
}),
});
storiesOf('FavoriteDetail')
.add('default view', () => (
<FavoriteDetail favorite={ simpleFavorite }
onBack={ action('Go back') }
onFavoritePress={ action('Favorite pressed') }
onShare={ action('Share') }/>
));

$24 export default connectComponent( (state$) => ({ favorites: state$.map('.getIn', ['feed', 'favorites']), refreshing: state$.map('.getIn', ['feed', 'lastFetched']) .map(d => d === null) }), () => ({ onFavoritePressed: asActionType('FAVORITE_SELECTED'), onRefresh: asActionType('FETCH_FAVORITES'), }) )(Feed);$

25
export class Feed extends Component{
. . .
}
export default connectComponent(
. . .
)(Feed);

32
import { storiesOf, action } from '@kadira/react-native-storybook';
import { Favorite } from '../../components/Favorite';
storiesOf('Favorite')
.add('default view', () => (
<FavoriteComponent favorite={ simpleFavorite }
onPress={ action('Favorite pressed') }/>
));

33
storiesOf('Favorite')
.addDecorator((story) => (
<View style={{
flexDirection: 'column',
alignItems: 'stretch',
justifyContent: 'center',
flex: 1}}
>
{ story() }
</View>
));

37
A tight feedback loop for
developing new components
and new states for those
components.
A clear, convenient place to
communicate and collaborate
with designers.
A place where you can visually
check that everything works and
looks as intended.

THANK YOU!
Let’s stay in touch: @jairtrejo

Too often developers are not involved with front end design descussions and end up struggling to get a sketch design to fit into a website. Many of these tools do not offer good ways of communicating animations or different states of the various components and in the end, there still has to be a translation into something that is functional. This talk aims to change that. We will be looking at Storybook as a tool that facilitates developers and designers working hand-in-hand to codify designs in React components. We will also cover some strategies of React component building that enabled taking advantage of tools like Storybook.

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We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a standalone surrogate modeling tool. We first briefly present the key mathematical tools on the basis of GP modeling (a.k.a. Kriging), as well as the associated theoretical and computational framework. We then provide an extensive overview of the available features of the software and demonstrate its flexibility and user-friendliness. Finally, we showcase the usage and the performance of the software on several applications borrowed from different fields of engineering. These include a basic surrogate of a well-known analytical benchmark function; a hierarchical Kriging example applied to wind turbine aero-servo-elastic simulations and a more complex geotechnical example that requires a non-stationary, user-defined correlation function. The GP-module, like the rest of the scientific code that is shipped with UQLab, is open source (BSD license).

Raish Khanji GTU 8th sem Internship Report.pdfRaishKhanji

This report details the practical experiences gained during an internship at Indo German Tool Room, Ahmedabad. The internship provided hands-on training in various manufacturing technologies, encompassing both conventional and advanced techniques. Significant emphasis was placed on machining processes, including operation and fundamental understanding of lathe and milling machines. Furthermore, the internship incorporated modern welding technology, notably through the application of an Augmented Reality (AR) simulator, offering a safe and effective environment for skill development. Exposure to industrial automation was achieved through practical exercises in Programmable Logic Controllers (PLCs) using Siemens TIA software and direct operation of industrial robots utilizing teach pendants. The principles and practical aspects of Computer Numerical Control (CNC) technology were also explored. Complementing these manufacturing processes, the internship included extensive application of SolidWorks software for design and modeling tasks. This comprehensive practical training has provided a foundational understanding of key aspects of modern manufacturing and design, enhancing the technical proficiency and readiness for future engineering endeavors.

Level 1-Safety.pptx Presentation of Electrical SafetyJoseAlbertoCariasDel

Compiler Design_Lexical Analysis phase.pptxRushaliDeshmukh2

fluke dealers in bangalore..............Haresh Vaswani

The Fluke 925 is a vane anemometer, a handheld device designed to measure wind speed, air flow (volume), and temperature. It features a separate sensor and display unit, allowing greater flexibility and ease of use in tight or hard-to-reach spaces. The Fluke 925 is particularly suitable for HVAC (heating, ventilation, and air conditioning) maintenance in both residential and commercial buildings, offering a durable and cost-effective solution for routine airflow diagnostics.

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211421893-M-Tech-CIVIL-Structural-Engineering-pdf.pdfinmishra17121973

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ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITYijscai

With the increased use of Artificial Intelligence (AI) in malware analysis there is also an increased need to understand the decisions models make when identifying malicious artifacts. Explainable AI (XAI) becomes the answer to interpreting the decision-making process that AI malware analysis models use to determine malicious benign samples to gain trust that in a production environment, the system is able to catch malware. With any cyber innovation brings a new set of challenges and literature soon came out about XAI as a new attack vector. Adversarial XAI (AdvXAI) is a relatively new concept but with AI applications in many sectors, it is crucial to quickly respond to the attack surface that it creates. This paper seeks to conceptualize a theoretical framework focused on addressing AdvXAI in malware analysis in an effort to balance explainability with security. Following this framework, designing a machine with an AI malware detection and analysis model will ensure that it can effectively analyze malware, explain how it came to its decision, and be built securely to avoid adversarial attacks and manipulations. The framework focuses on choosing malware datasets to train the model, choosing the AI model, choosing an XAI technique, implementing AdvXAI defensive measures, and continually evaluating the model. This framework will significantly contribute to automated malware detection and XAI efforts allowing for secure systems that are resilient to adversarial attacks.

RICS Membership-(The Royal Institution of Chartered Surveyors).pdfMohamedAbdelkader115

MAQUINARIA MINAS CEMA 6th Edition (1).pdfssuser562df4

π0.5: a Vision-Language-Action Model with Open-World GeneralizationNABLAS株式会社

今回の資料「Transfusion / π0 / π0.5」は、画像・言語・アクションを統合するロボット基盤モデルについて紹介しています。拡散×自己回帰を融合したTransformerをベースに、π0.5ではオープンワールドでの推論・計画も可能に。 This presentation introduces robot foundation models that integrate vision, language, and action. Built on a Transformer combining diffusion and autoregression, π0.5 enables reasoning and planning in open-world settings.

Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different ...Journal of Soft Computing in Civil Engineering

Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.

ELectronics Boards & Product Testing_Shiju.pdfShiju Jacob

QA/QC Manager (Quality management Expert)rccbatchplant

Structural Response of Reinforced Self-Compacting Concrete Deep Beam Using Fi...Journal of Soft Computing in Civil Engineering

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React storybook

1. STORYBOOK & REACT NATIVE Jair Trejo

2. WHO AM I? Jair Trejo Full-stack developer at Chegg @jairtrejo on Twitter 2

3. WHAT IS REACT STORYBOOK?

4. 4

5. 5 import React from 'react'; import { View } from 'react-native'; import { storiesOf, action } from '@kadira/react-native-storybook'; import { SpeechBubble } from ‘../../components/SpeechBubble’; storiesOf(‘SpeechBubble'); .add('default view', () => ( <View style={{width: 300}}> <SpeechBubble message="Default, explanatory bubble" severity={ SpeechBubble.SEVERITY.INFO } tailPosition={ 50 }/> </View> )) .add('warning', () => ( <SpeechBubble message="Watch out! Something unexpected just happened" severity={ SpeechBubble.SEVERITY.WARNING } tailPosition={ 50 }/> ));

6. 6

7. 7 A tight feedback loop for developing new components and new states for those components.

8. 8 A clear, convenient place to communicate and collaborate with designers.

9. 9 A place where you can visually check that everything works and looks as intended.

10. HOW IS IT USEFUL TO ME?

11. REACT NATIVE STORYBOOK 11

12. 12

13. 13

14. 14

15. 15

16. 16 const simpleFavorite = new Favorite({ id: '1', title: 'Learning React Native…’, url: 'https://amzn.com/1491929006', shortUrl: 'amazon.com/gp/product/149…', source: new Source({ type: 'tweet', id: '707050076170891264', from: new Friend({ name: 'Bonnie Eisenman', username: 'brindelle' }) }), }); storiesOf('FavoriteDetail') .add('default view', () => ( <FavoriteDetail favorite={ simpleFavorite } onBack={ action('Go back') } onFavoritePress={ action('Favorite pressed') } onShare={ action('Share') }/> ));

17. 17 linkTo

18. 18

19. 19

20. 20

21. 21

22. 22 State HTML VDom UI

23. 23

24. 24 export default connectComponent( (state$) => ({ favorites: state$.map('.getIn', ['feed', 'favorites']), refreshing: state$.map('.getIn', ['feed', 'lastFetched']) .map(d => d === null) }), () => ({ onFavoritePressed: asActionType('FAVORITE_SELECTED'), onRefresh: asActionType('FETCH_FAVORITES'), }) )(Feed);

25. 25 export class Feed extends Component{ . . . } export default connectComponent( . . . )(Feed);

26. 26

27. 27

28. 28

29. HOW CAN YOU START USING IT?

30. KADIRAHQ/REACT-STORYBOOK 30

31. 31

32. 32 import { storiesOf, action } from '@kadira/react-native-storybook'; import { Favorite } from '../../components/Favorite'; storiesOf('Favorite') .add('default view', () => ( <FavoriteComponent favorite={ simpleFavorite } onPress={ action('Favorite pressed') }/> ));

33. 33 storiesOf('Favorite') .addDecorator((story) => ( <View style={{ flexDirection: 'column', alignItems: 'stretch', justifyContent: 'center', flex: 1}} > { story() } </View> ));

34. 34

35. 35

36. 36

37. 37 A tight feedback loop for developing new components and new states for those components. A clear, convenient place to communicate and collaborate with designers. A place where you can visually check that everything works and looks as intended.

38. THANK YOU! Let’s stay in touch: @jairtrejo

React storybook

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