Star Trek Insurrection
Director: Jonathan Frakes.
Starring: Patrick Stewart, Jonathan Frakes, Brent Spiner, LeVar Burton, Michael Dorn, Gates McFadden, Marina Sirtis.
With any Star Trek movie, there comes a lot of baggage. Lots of people stay away because they're not trekkies: they've never watched the television show and they don't like Science Fiction. On the other hand, fans expect so much, even becoming a tad proprietal about their show. So who should go to see the latest instalment of the Next Generation films? How does it hold up for the two extreme ends of the viewing population?
I fear trekkies will be a bit disappointed. Just like First Contact, the previous Star Trek movie, Insurrection doesn't have a lot of plot. It's basically an extended television episode on a bigger screen. All the standard characters are there, doing what you'd expect of them, and it's an interesting enough plot but it's not a ground breaking movie.
On top of that, the effects are pretty cheesy. When I go to a Star Trek movie, I basically expect an extended television episode with cool special effects: I got the former but was robbed of the latter. The ships, docking and moving about in space looked like models. Even worse were the less amazing scenes like when
Data (Brent Spiner), Picard (Patrick Stewart) and the love interest were entering the water-craft they had discovered: the mountain backdrop was clearly fake. I don't know how much money was spent on special effects for Insurrection, but when I compare it to the great crash scene from the first Next Generation movie, it comes up very short.
There are, however, many pluses for Insurrection. While there will never be any Best Actor Oscars being awarded to the cast of a Star Trek film, all the performances are quite good. On top of that, there is a lot of humour in this movie. Whilst there were humorous pieces in First Contact, it had a very dark tone. There is no such tone in Insurrection: we have goodies and baddies, people to save, lessons to be learned but it is all done with a light-handedness that is very funny. The ability of the cast to laugh at themselves makes the film quite enjoyable.
The moral of the story, standard Star Trek, is also handled well. Although it's fed to us via Picard pontificating about the rights of people to self determination, watching Picard pontificate is not an unpleasant thing. His mellifluous voice can make anything palatable.
Overall, I think non-Science Fiction fans may enjoy Insurrection more than the hard core fans. Like most Science Fiction, it's really a morality play. In this case, however, Insurrection contains lots of morality, heaps of play and very little Science Fiction.
Rating: CR
© Nikki Lesley 1998<EMAIL_ADDRESS>http://www.cs.usyd.edu.au/~nikki/m_r/Intro.html ratings system: HD: High Distinction D: Distinction CR: Credit P: Pass CP: Conceded Pass F: Fail
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Related links: index of all rec.arts.movies.reviews reviews


You have been invited to contribute to the NCP Alumni Advice Site!
You have been invited to create a user on {{ .SiteURL }}. Follow this link to accept the invite:
Accept the invite
Brief Guide to Adding Content
You can add content by accessing the admin page here: http://ncp.netlify.com/admin and logging in with your email and password.
A few general notes:
Try to make sure that images aren't too big (try to keep them under 500 KB)
The preview is a bit slow to update (especially with images) - I recommend turning it off (the little eye icon)
Try to not post anything too controversial
Don't delete/modify other people's contributions - if this does happen I'm making constant backups of every change, so easy to fix
Have fun!
Eventually when there's enough content on here I'll go about getting a proper website name, etc. - but it's still a work in progress!
Cheers,
Valerian (valerian.mccaskill@gmail.com)


Watch Live: Donald Trump Hosts Political Rally in Mississippi
President Donald Trump will speak at a political rally on Friday in Mississippi.
by Amanda HouseThe rally is scheduled to start at 7:00 p.m. local time (8:00 p.m. EST) in Tupelo, Mississippi.


HOME
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RTICIOT 2K18
Call For Papers
Thrust Areas Of Conference
Internet Of Things
IOT Semantics
IOT Architecture
IOT Enabling Technologies
IOT Security
IOT Future
Embedded System
Mobile Computing
Network Security
Software Engineering
Web Services
Distributed Computing
Artificial Intelligence
Neural Networks
Optimisation Techniques
Image Processing & Others
Submission Guidelines
Original unpublished papers are invited from researchers, academicians, practioners and students in word format.
Authors are required to publish their full papers not exceeding 4 pages for publication.
Manuscripts must be typed clearly on one side of A4 sheet as per IEEE Standard Format.
Title page of paper should contain the Author(s) Name,Designation, Institution, Email Id, Mobile No, along with the Abstract.
The Papers to be sent to the following Email Id -<EMAIL_ADDRESS>Publications
Selected papers will be published in the form of conference proceedings.
All papers will be reviewed by a panel of experts and their decision will be final.
Fee
Students(UG)(Indian Author/Foreign Author): Rs.500.00
PG Students/Ph.D Scholars/Academicians: Rs.1,000.00
Corporate Executive: Rs. 2,000.00
Payment Options
Direct Deposit in the bank account which will be provided in acceptance letter.
Online Payment using banking NEFT or IMPs.
Demand Draft in favor of "Principal, Agra College, Agra". Payable at Agra.
Registration Fees Includes
Partipation of one registered person in the conference.
Publishing of full papers in the Conference proceeding.
Conference Kit at Venue.
Certificates for paper presentation in the Conference.
RTCIoT 2k18 - Recent Trends in Computer and Internet of Things


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🖥 includes "browser" entry
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tronwallets adapter settings
Wallet addresses
Name
WalletAddress
on save adapter restarts with new config immediately


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Intro
I am a Webdeveloper/Coder who tries to solve first world problems in a third world country. Do take
a look at my awesome work.
I listen to a lot of music and have a plethora of artists that I favor, I religiously keep up with
whatever they put out. It aint just about the music, it's the vibe.
Work
I currently am working for a start up as the head of the online sales team.  Once an order is placed, I send it to the warehouse where the product gets packed in its packaging and put into the box with the respective labels. Afterwhich, the delivery service is also booked and sent out in the same day. We prioritize efficiency.
About
I am learning how to use a DAW (Digital Audio Workstation) as another project of mine to bring to
life the sounds and rhythms that I have in my head. It is somewhat complicated, but the insterest is
what drives me to complete learning such a complicated programme.
I am also trying to learn the coding aspect of creating and editing softwares. In particular, Python
and Java as they are the most basic OOP's. Of which, I have completed learning the basics of Python
including the different data types and how to use them in creating functions and defining variables.
To get a better idea, look at my skills.
Skills
Contact


Checks whether a V1 or V2 checkpoint exists with the specified prefix. (deprecated)
tf.compat.v1.train.checkpoint_exists(checkpoint_prefix)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix.
This is the recommended way to check if a checkpoint exists, since it takes into account the naming difference between V1 and V2 formats.
checkpoint_prefix
: the prefix of a V1 or V2 checkpoint, with V2 taking
priority. Typically the result of Saver.save()
or that of
tf.train.latest_checkpoint()
, regardless of sharded/non-sharded or
V1/V2.A bool, true if a checkpoint referred to by checkpoint_prefix
exists.


Facebook, Google business models a 'threat to human rights': Amnesty report
Amnesty International said in a report that Facebook and Google's "surveillance-based business model" is inherently incompatible with the right to privacy. The NGO urged governments to take action.
Amnesty International in a report has said tech giants Facebook and Google should be forced to abandon what it calls a "surveillance-based business model" that is ''predicated on human rights abuse.''
"Despite the real value of the services they provide, Google and Facebook's platforms come at a systemic cost," the human rights group said in its 60-page report published on Thursday.
Amnesty said that by gathering up personal data to feed advertising businesses, the two firms carry out an unprecedented assault on privacy rights.
'Faustian bargain'
Amnesty said the companies force people to make a ''Faustian bargain,'' where they share their data and private information in exchange for access to Google and Facebook services.
The NGO said this was problematic because both firms have established "near-total dominance over the primary channels through which people connect and engage with the online world," giving them unprecedented power over people's lives.
"Their insidious control of our digital lives undermines the very essence of privacy and is one of the defining human rights challenges of our era," said Kumi Naidoo, Amnesty International's secretary general.
Google and Facebook also present a threat to other human rights, including freedom of expression and the right to equality and non-discrimination, Amnesty said.
Read more: Bangladesh: Fake news on Facebook fuels communal violence
The report has called for governments to implement policies that allow people's privacy to be protected, while ensuring access to online services.
"Governments have an obligation to protect people from human rights abuses by corporations," the group said.
"But for the past two decades, technology companies have been largely left to self-regulate."
Facebook pushes back
Facebook disagreed with the report's conclusions. Steve Satterfield, the company's public policy director, rejected the notion that the business model was "surveillance-based'' and noted that users sign up voluntarily for the service.
"A person's choice to use Facebook's services, and the way we collect, receive or use data, all clearly disclosed and acknowledged by users, cannot meaningfully be likened to the involuntary (and often unlawful) government surveillance'' described in international human rights law, Facebook said in a 5-page response letter to Amnesty International.
Google also disputed Amnesty's findings but did not provide an on-the-record response to the report. The company provided input and publicly available documents, Amnesty added.
jcg/stb (Reuters, AP)


|
IslamIslam is the second largest religion in the world after Christianity, and it's gaining fast.There are between 1 and 1.5 billion Muslims in the world. Despite the impression you may have gotten, the vast majority of Muslims are non-Arabs. Islam is the dominant religion across much of Asia, North Africa and the Middle East. Islam means "submission", specifically total submission to the word of God as recorded in the Koran (or Quran) by the Prophet Muhammad, a message delivered in 7th century and believed to be God's final revelation to humankind. Muslims believe the Koran is God's word exactly as told to Muhammad, without elaboration or creative input from the Prophet himself. After the Koran, there are secondary texts known as hadiths, which are stories of the Prophet's life and times. Although most Muslims emulate Muhammad's way of life (sunna) as outlined in the hadiths, these texts are not considered as unreproachable as the Koran, and different Islamic sects sometimes endorse different or incompatible hadiths. There are five key criteria for being Muslim, known as the "five pillars of Islam", which include:
In addition to the pillars, there are numerous injunctions about behavior and custom laid out in the Koran and elaborated on by the hadiths and in religious rulings known as fatwas. Muslims are forbidden to eat pork, and other meats must be ritually prepared in order to be considered halal. Gambling and drinking are forbidden, and ritual ablutions are required, among many other rules applied to daily life. Daily prayers are said facing the Saudi city of Mecca, where stands a house of worship that legend says was built by the biblical figure Abraham, who is one of the prophets of Islam. Mecca and Jerusalem are sacred in Islam, because the Quran indicates that Muhammad was mystically transported to each, where sections of the Quran were revealed to him. As in other religions, there is a Day of Judgment, after which unbelievers roast in Hell for eternity, while the souls of believers are rewarded by transport to a sensual paradise with food, wine and pleasures of the flesh in ample supply. Husbands and wives are also reunited in paradise. Muslim men are allowed to have more than one wife, but they are required to treat all their wives equally, an admonition that discourages many would-be polygamists. Although cultural mores in many Muslim cultures tend to be repressive to women, very little actual oppression is based in the real theology of Islam (this varies from sect to sect). Islam recognizes previous prophets, including Moses, Abraham and Jesus, although the latter is accorded no divine status. There are sections in the Koran discussing the earlier prophets, but they aren't the same as the traditions related in Jewish and Christian literature. The Koran says that Jesus was not crucified, but that someone else died in his place (similar to the beliefs held by some Gnostics. Most Muslims also honor the Virgin Mary. Muhammad led several highly successful campaigns of conquest, and in the later part of his life, the Koran reflected this political status, encompasing a broad array of civic issues. As a result, Islam is an overtly political religion. Its adherents are required to seek political justice, and some Muslims believe the only way to do that is to establish Muslim states that enforce Sharia law. There are two major factions in Islam, known as Sunni and Shi'a. The original bone of contention between the two sects was a strictly political battle over the succession of power from Muhammad, but other differences developed over time. After Muhammad's death, Muslims were led by a series of caliphs. The Shi'a believe that the caliphate could only appropriately pass to the descendants of Ali, the son-in-law of Muhammad, but the Sunnis believe caliphs can be chosen by the community. After the initial rift over the caliphate, other doctrinal differences eventually arose. Both the Sunni and Shi'a movements spawned a number of splinter groups themselves. The Shi'a gave birth to Ismailism, which led to the Assassin cult that played a key role in the Crusades. Another major movement is Sufism, a mystical branch of Islam responsible for great controversy within Islamic culture as well as some of history's greatest works of literature. Within a couple hundred years of Islam's birth, a "back to the roots" movement began. Basically, Islamic fundamentalism is substantially different from its Christian counterpart. Christian fundamentalism, for all its at-times regressive views, is an essentially modern interpretation of the Bible. There's no real historical basis for the notions embraced by groups like the Assemblies of God. In contrast, Islamic fundamentalism is explicitly and authentically anti-modern. Fundamentalist sects such as the Wahhabis, believe that Islam can only be kept pure when Muslims model their lives as closely as possible on Muhammad's example. The Wahhabis reject almost every form of religious and social modernization or innovation since about 950 A.D. There are also militant, political and/or extremist forms of Islam -- some which are fundamentalist and others which are not. Some sects, like Al Takfir Wal Hijra, are devoted to waging holy war -- jihad -- against cultures that offend their sensibilities, including Western culture, the American Way, anything having to do with Israel, and even fellow Muslims who aren't sufficiently "Islamic" by some definition. Jihad has become one of the most difficult and contentious issues facing Muslims today. From Islam's earliest days, Muslims have almost continuously been in conflict -- with Crusaders, with Mongols and frequently among themselves. Some of these conflicts were the result of outside threats; others were the sort of empire-building that is fairly typical in any historical setting. Jihad translates from Arabic as "struggle." While modern, moderate Muslims have tried to promote a definition of jihad that focuses primarily on a personal and collective struggle for spiritual improvement, the traditional concept of holy war has more currency around the world, for reasons which are perhaps obvious. Depending on who you're talking to, there are several possible justifications for jihad, including to rescue oppressed Muslims or to reclaim lands that were once Islamic (which includes the Middle East, and much of central and South Asia) from so-called "infidel" influence. The definition of infidel is also extremely fluid, and can include Jews, Christians and even Muslims. Although fundamentalism is considered out of the "mainstream" of Islamic thinking, fundamentalist sects have been successful recruiting in war-torn and poverty-stricken regions of the world. Wealthy Saudi Wahhabis have furthered that expansion, by funding madrassas, religious schools preaching the Saudi brand of fundamentalist Islam. Partly driven by the growth of fundamentalism, Islam has become the fastest-growing religion in the world. Because of the militant views held by some Islamic fundamentalists, many Westerners perceive Islam as a violent religion, which isn't really fair. For one thing, a very small percentage of the aforementioned 1.5 billion Muslims are terrorists or guerrilla fighters. However, the terrorists get all the press and are among the most active in converting Westerners to Islam, so you can't quite discount the extreme elements when discussing the religion. Like it or not, the extremists are very much driving the modern perception of Muslims, both within Islam and without. On the bright side, Islam is only 1,300 years old, and religions have a definite life-cycle, just like people. If you look at Christianity in 1300 C.E., two words spring to mind: Inquisition and Crusade. Maybe the 1300s are just the rebellious teenage years.
|


This guide uses the command line with the Kitura CLI.
If you'd prefer a UI based experience you can follow the Hello World example using the Kitura macOS app.
If you'd prefer a more hands on approach you can follow the Hello World example using SPM.
Create a directory for your project:
mkdir HelloWorld && cd HelloWorld
Create a Kitura application using the Kitura CLI:
kitura basic
`kitura basic` will create a Kitura application in your current directory and also builds your application.
`kitura basic` adds a Hello World example for you in `Sources/HelloWorld/main.swift`.
To run the project:
swift run
Now if you go to:
You should see `Hello, World!` in the browser.
Add logging: Get useful feedback from your server about startup and errors
Add routing: Add REST APIs, such as HTTP GET, to your server


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Farewell.20to.20mini_crush.2C.20smt2_interface.2C.20etc.2E.html ---
Did you know that there are other Lean projects aside from mathlib that are tested by the Lean CI scripts? Like https://github.com/leanprover/smt2_interface and https://github.com/leanprover/mini_crush
I'd like to remove these projects from the Lean CI. Do you care? https://github.com/leanprover-community/lean/pull/122
The reason I want to remove them from the CI is that the current PRs break them: https://github.com/leanprover-community/lean/pull/121
I say go ahead and remove them.
Are those smt2
and mini_crush
actually usable? I got the idea they were tech demo which are not really practical.
I don't think anybody uses them in production. mini_crush
is actually usable. The smt2_interface
doesn't produce proofs.
I like the PR message at https://github.com/leanprover-community/lean/pull/122. Leo would be proud :wink:
Would it make sense to fix mini_crush
and put it into mathlib?
Who wrote that originally?
All of them still work in 3.5.2. @Anne Baanen's PR only breaks smt2_interface
. If anybody wants it in mathlib, we could certainly merge it.
I can't find a Licence file.
Leo. It was an example to show that we can implement Coq tactics just as easily, but faster. License is apache. (It was originally in the main lean repo.)
What kind of statements can it prove? How does it relate to finish
, cc
or other such things?
I'm not sure. It also does induction.
I'd vote for putting it into mathlib, unless there is any down-side to this.
I'm not actually sure what causes the build failures. One looks more like a network connection timeout, and the other seems to work on my machine...
@Anne Baanen Look closely at the placement of the double quotes.
I don't understand which double quotes you refer to?
https://github.com/leanprover-community/mathlib/commit/e50512b4f446d928c6911f0dfd49f26ff5801c25
I think you are referring to uploading mathlib to azure. I'm referring to smt2_interface
failing to build in my PR
There shouldn't be any SAS token needed to compile Lean, right?
PLEASE NO BUILD RESTARTING ON THE LEAN REPOSITORY!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Seriously, travis is at capacity. Every commit takes two hours. Please commit responsibly.
That was maybe a bit harsh from me. I'm just trying to get these PRs merged and I'm annoyed that I have to wait even more..
@Anne Baanen Do I understand you correctly? The tests in smt2_interface
work for you in your branch?
Last updated: Apr 24 2020 at 19:02 UTC


Computing: Computer Science
Mission
The department of Computer Science at Slippery Rock University is committed to providing all-around and in-depth education to its majors, qualifying them for a wide range of careers in computing and/or advanced study in computer-related fields. To fulfill its commitment the curriculum emphasizes critical thinking and problem solving and enhances the student's teamwork skills, communication skills, and sense of professional ethics in computer science.
Careers
Since the beginning of the computer revolution a few decades ago, there has been a strong demand for computer programmers in the job market. More recently, growth in computer and communication technologies and their applications has been vigorous, resulting in a wide range of computer-related skills needed by business, industry and government. Today computer science graduates can find jobs as systems and application programmers, systems analysts/managers, network specialists, database experts, customer support personnel, technical writers and independent consultants to name a few. According to the published reports, the demand for computer scientists for the foreseeable future ranks extremely high around all disciplines. Our graduates have enjoyed excellent job placement. A strong undergraduate degree in computer science, computer engineering, telecommunications and management informations systems provides tremendous job opportunities.
Department
The Department of Computer Science is a part of the College of Business, Information, and Social Sciences. All twelve faculty members of the department are experienced and highly qualified to teach the undergraduate program in computer science, with eleven of the faculty holding doctoral degrees. While the primary goal the faculty members pursue is excellence in teaching, their research and scholarly interests play an important role in keeping our curricula on the cutting edge of the discipline and provide research opportunities to interested students majoring in computer science. Scholarly research is currently conducted and partially funded by several local, state, and national agencies in the areas of robotics/artifical intelligence, parallel computing, and program optimization. Availability of instructors outside the classroom for additional help, small class size, one-on-one academic advising and strong faculty support for student activities are among the major strengths of the department.
Student Activities
The department supports student activities in many ways. Faculty members are actively interested in functions sponsored by the Computer Technology Club. Every major in the department is automatically a member of the club. The department has a chaper of Upsilon Pi Epsilon, a national honor society in computing. All students are encouraged to join the Association of Computing Machinery, the best-known international professional organization in computing. Every year the department sponsors teams for participation in at least two programming contests, one held by the ACM and the other by the Pennsylvania Association for Computer and Information Sciences Educators during professional meetings. Students are also encouraged to present papers at PACISE meetings.
Computing Facilities
The deparment maintains five computer laboratories exclusively for the use of students in major courses. The laboratories are equipped with UNIX X-Window workstations, Workstations running the Windows XP operating system, a B-12 mobile robot, a vision system and robotic arms, and servers and workstations for hands-on training in computer networking. All software used in course work is available in these labs and also in some other campus labs. The university provides full Internet access to all students. In addition, the department allows each major to maintain his/her own World Wide Web page for academic purposes. Students are not required to own a computer.
Futher Information:
You may contact us in various ways:
Slippery Rock University
Department of Computer Science
Slippery Rock, PA 16057
Phone:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
E-Mail: Vicki Sparano - vicki.sparano@sru.edu


Fill out this form to generate a URL to send to the candidate which will allow them to start their assignment.
Candidate's Full Name:
Assignment:
{{#each repos}}
{{this}}
{{/each}}
Duration (hours):
Get Assignment URL


To show that an item is required put a * in a span.form-control-validation
in the .control-label
.
Add a div.form-group.form-group-validation
with a label.control-label
containing the explanation of * to the form.
Include the aria-required
attribute to inform users of assistive technologies that this field is required.


VCONFIG
Section: Maintenance Commands (8)Index Return to Main Contents
NAME
vconfig - VLAN (802.1q) configuration program.SYNOPSIS
vconfig [lots of long options]DESCRIPTION
The vconfig program allows you to create and remove vlan-devices on a vlan enabled kernel. Vlan-devices are virtual ethernet devices which represents the virtual lans on the physical lan.OPTIONS
- add [interface-name] [vlan-id]
- Creates a vlan-device on [interface-name]. The resulting vlan-device will be called according to the nameing convention set.
- rem [vlan-device]
- Removes the named vlan-device.
- set_flag [vlan-device] 0 | 1
- When 1, ethernet header reorders are turned on. Dumping the device will appear as a common ethernet device without vlans. When 0(default) however, ethernet headers are not reordered, which results in vlan tagged packets when dumping the device. Usually the default gives no problems, but some packet filtering programs might have problems with it.
- set_egress_map [vlan-device] [skb-priority] [vlan-qos] This flags that outbound packets with a particular skb-priority should be tagged with the particular vlan priority vlan-qos. The default vlan priority is 0.
- set_ingress_map [vlan-device] [skb-priority] [vlan-qos] This flags that inbound packets with the particular vlan priority vlan-qos should be queued with a particular skb-priority. The default skb-priority is 0.
- set_name_type VLAN_PLUS_VID | VLAN_PLUS_VID_NO_PAD | DEV_PLUS_VID | DEV_PLUS_VID_NO_PAD Sets the way vlan-device names are created. Use vconfig without arguments to see the different formats.
NOTES
VLAN will use Broadcom's NICE interface when the network device supports it. This is necessary, since usually the hardware of these devices already removes the vlan tag from the ethernet packet. The set_flag option on vlan-devices created on such a physical network device will be ignored. Dumping the network-device will show only untagged(non-vlan) traffic, and dumping the vlan-devices will only show traffic intended for that vlan, without the tags.FILES
/proc/net/vlan/config/proc/net/vlan/[vlan-device]
SEE ALSO
ip(8), ifconfig(8)AUTHORS
This manual page was written by Ard van Breemen<EMAIL_ADDRESS>vlan patch is written by Ben Greear<EMAIL_ADDRESS>Index
This document was created by man2html, using the manual pages.
Time: 05:34:31 GMT, December 24, 2015


Most basic
Most basic stacked area chart you can build with R and ggplot2, using the geom_area function.
Small multiple
Small multiple is probably the best alternative, making obvious the evolution of each gropup.
Most basic area chart you can build in base R using the polygon function.
Most basic barplot
The most basic barplot you can do with geom_bar(), using default settings.
Custom color
A few examples showing how to custom barplot color.
Horizontal barchart
It makes sense to make your barchart horizontal: group labels are now much easier to read
Bar width
You can control bar width using the width argument of geom_bar()
Control group order
Reordering categories in the barchart is a crucial step for an insightful figure: learn how to do it.
Variable width
A barplot with variable width to represent categories sample size.
Error bars
How to add error bars on a barplot, and why should be careful about it.
Most basic usage of the barplot() function.
Control color
How to control barplot color, how to pick a nice color palette.
General customization
Title, axis labels, axis limits, and more.
Horizontal barplot
A horizontal version of the barplot, thanks to the horiz argument.
Play with bar width and space between bars.
Bar texture
Change bar texture with the density and angle parameters of the barplot function.
Axis features
Change font, color and size of axis labels and titles
Increase margin
Increase margin size with the mar argument of the par function
Add error bars
Add error bars on barplot to show confidence interval or standard deviation
Number of obs
Add number of observation on top of barplot, and other customization
Parameters reminder
A cheatsheet to quickly reminder what option to use with what value to customize your chart.
Base R margins
A post dedicated to margin management in base R.
Basic barplot
The basic barplot hides information: how does the underlying distribution look like? What are the category sample sizes?
Add individual observation
See how low group C sample size actually is?
Violin plot
See group B? It would be a shame to miss out this bimodal distribution.
Most basic boxplot
The most basic boxplot you do using ggplot2.
geom_boxplot() options
An overview of the boxplot options offered by ggplot2 to custom chart appearance.
Changing group order in a boxplot is a crucial step. Learn why and discover 3 methods to do so.
Several examples showing most usual color customization: uniform, discrete, using colorBrewer, Viridis and more.
Most basic histogram 2d
Most basic histogram 2d using the geom_bin2d() function of ggplot2
Color and bin size
Learn how to customize the color and the bin size of your 2d histogram
Most basic, default parameters
change theme
Use the theme_bw() for better appearance
Learn how to customize the color and the bin size of your hexbin chart
Hexbin package
Build a hexbin chart with the hexbin package and color it with RColorBrewer
Scatter on top of 2d distribution
Add a scatterplot on top of the ggplot2 2d density chart
3D knot
A 3D knot to illustrate what is possible to do with rgl.

Scatter / bubble
Check how to animate a bubble or scatterplot to visualize evolution over time.
Any customization offered by ggplot2 can be used in gganimate. Here is an illustration using small multiple.
Barplot transition
A transition between 2 states in a barplot, smoothly.
Line apparition
A line chart progressively displayed.
A Count-down animation made with R and Image Magick.
Another example of 3d and animation with R and lattice.
Most basic area chart with R and ggplot2
Improve appearance
Use a theme, highlight top line, add points if needed, and more options.
Log transform
How to use a log transformation for the Y axis with scale_x_log10().
Highlight a group
Learn how to highlight a group on your chart to convey your message more efficiently.
Grouped boxplot
A grouped boxplot displays the distribution of several categories organized in groups and subgroups
Faceting in boxplot
An alternative to grouped boxplot where each group or each subgroup is displayed in a distinct panel.
It is possible to make the box widths proportionnal to category sample size.
Boxplot from continuous variable.
how to build a boxplot with ggplot2 where categories are actually bins of a numeric variable.
Add mean value.
Explaines how to add mean value on top of boxplot. (remember boxplot displays the median, not the mean).
Boxplot downside is to hide information. You can reveal box underlying distribution showing individual observations with jitter.
Marginal distribution
Add marginal distribution around your scatterplot with ggExtra and the ggMarginal function.
Boxplot on top of histogram
How to add a boxplot on top of a histogram.
Boxplot with custom colors
Color specific groups in this base R boxplot using ifelse statement.
X axis labels on several lines
How to display the X axis labels on several lines: an application to boxplot to show sample size of each group.
Boxplot with jitter
Show individual observations on top of boxes, with jittering to avoid dot overlap.
Order categories by median
Learn how to reorder categories using increasing median.
Boxplot with specific order
Learn how to reorder categories with a specific order.
Grouped and ordered boxplot
How to build a grouped boxplot (groups & subgroups) and order it by increasing median.
Boxplot with variable width
Make box size proportional to category sample size.
Boxplot with labels on top
Add labels on top of each category to display custom information like category sample size.
Tukey test
Tukey test compares the mean of all pairs of category. Here is how to perform it and represent its result on a boxplot.
Box type around plot
Learn how the bty argument of the par() function allows to custom the box around base R plot.
Split plot window with layout()
Layout() divides the device up into as many rows and columns as need, with custom proportions.
Basic bubble chart
The most basic bubble chart you can build with R and gglot2 with geom_point()
Control bubble size
Control bubble size with scale_size(): allows to set minimum and maximum size.
Make your chart pretty with nice color scale, general theme, stroke around cirle and more..
Add Markers
Learn how to add a marker on a map with leaflet. Circle, rectangle, pointer and more. Link it to tooltip.
Bubble map
Lear to map the marker size to a numeric value, resulting in a bubble map.
Interactive legend
You can add tags to marker and build an interactive legend that allows to toggle their visibility.
Cartography pkg
Check the cartography package to build great maps in minutes with R.
Most basic map
Before building any cartogram, you need to understand how to build a basic map background. Here is how.
Most basic cartogram
Learn how to distort region shape using the cartogram package.
Switch to choropleth
Next step is to color each region according to their value, on top changing their size.
Basic Hexbin Map
Start with an usual hexbin map.
Apply Cartogram method
Apply a cartogram algorithm to distort hexagon size according to a numeric value.
Customization
Customize the previous chart: legend, color palette, title, state name and more..
Data from the package
The cartography comes with a set of geospatial data included. Learn how to use it to build a choropleth map.
The most basic circular packing you can build..
Color customization
Change colors, map the palette to a variable, customize background and more.
Space between bubbles
Add space between bubbles by reducing bubble size according to a constant.
The most basic circular packing you can build with R and ggraph
Add color
Learn how to map the bubble color to the hierarchy level
Add labels
Add labels to nodes to give more insight to the chart
Hide levels
Hide some levels of the hierarchy for a more stylish chart
Specific labels
Add labels to specific levels of the hierarchy
The most basic circular barchart you can build, to illustrate how coord_polar() works
Add labels with geom_text(). Tricky, since you have to compute label angles first.
Add a gap
Lear how to add a gap in the circle. The same technique will then be used to add gaps between groups
Gap between groups
The space between groups allows to highlight them.
Order
As usual, it makes sense to order bars of each group to get the ranking more easily
Add scale, group names and more
Basic usage
Basic usage to build a 5 color long palette.
Longer palette
Get a longer color palette from RColorBrewer.
Available palette
See the complete list of available palettes.
Categorical palette
How to map a color to a categorical variable.
Continuous palette
Same thing for a continuous variable.
Two histograms on same Axis
Compare the distribution of 2 variables with this double histogram built with base R function.
Histogram with colored tails
Coloring tails sometimes allow to highlight specific areas of the distribution.
Color and legend
Customize color and legend of the dendrogram.
Most basic scatterplot with R and ggplot2
Custom appearance
Classic appearance customization with theme_ipsum and more
Connected Scatter for evolution
Use connected scatterplot with 3 numeric variable to show an evolution.
How to add a legend to base R plot
The legend() function allows to add a legend. See how to use it with a list of available customization.
Image on the chart background
The rasterImage function allows to add an image on the background of the chart.
Manage date data
Learn why it is important that your date is recognized at the date format, and how to do so.
Background map and circle
Start by remembering how to plot a absic background map with circles to show 3 cities
Add a few connections
Add a few connections using great circles and the lines() function.
Loop the process
Build a loop to display many connections. Add city names. Gert fancy.
Scatterplot matrix
Basic scatteprlot matrix with the ggpairs() function.
Pearson correlation
Visualize correlation with ggcorr().
Show groups
You can use the ggplot2 syntax to add aesthetics and ths map color to categories.
Square and Pie
How to use the corrgram() function to represent correlation with square and pie charts.
Ellipse + Scatterplot
Visualize correlation with corrgram(). Use ellipses and scatterplots
Half matrix
You can display correlation in half the matrix only.
Ellipse package
The ellipse package allows to visualize a correlation matrix with ellipses.
plot() function
The plot function is straightforward way to build a basic scatterplot matrix.
car package
The car package probides a scatterplotMatrix function to build correlogram.
Most basic dendrogram
Most basic usage of ggraph, applied on 2 types of input data format.
Dendrogram customization
Go further with ggraph: edge style, general layout, node features, adding labels, and more.
Customized circular dendrogram
Learn how to build a circular dendrogram with proper labels.
Basic clustering process
Learn how to format your data, compute distance between samples, run the clusterisation and visualize the result.
Zoom / Select
Zoom on a specific part of the tree to study a particular group more in detail.
The set() function
An introduction to the set function that allows to customize node and label features.
Horizontal
Flip the tree to get it horizontal, and use coloring to highlight clusters.
Highlight a specific group with a rectangle on top.
Bottom bar
Add a colored bar on the bottom of the tree to check an expected distribution.

The most basic density plot you can do with ggplot2.
Use the theme_ipsum to improve the general appearance of the previous basic density chart.
Mirror density chart
Put 2 density charts face to face to compare the distribution of 2 numeric variables.
Multi density chart
Explains how to display several density charts on the same axis, and the potential associated caveats.
Multi density with annotation
It is a good practice to write group names next to shapes instead of adding a legend beside the chart.
If you have several groups, plotting them on the same axis often results in a cluttered and unreadable figure. Use small multiple to avoid that.
Stacked density chart
Stack groups on of top of each other. Allows to study the whole, but makes it hard to study each group.
How to build the most basic donut chart with R and ggplot2
Make it prettier with labels, nice color palette and better general appearance
Ring width
Control ring thinckness with xlim
xlim
Basic donut chart with base R, no library involved.
Annotate with geom_text
geom_text() allows to add annotation to one, several or all markers of your chart.
Annotate with geom_label
Very close to geom_text, geom_label produces a label wrapped in a rectangle. This example also explains how to apply labels to a selection of markers.
Rectangle
Learn how to use the annotate function to add a rectangle on a specific part of the chart.
Segment
How to add one or several segments to the chart.
Arrow
Basically the same as for a segment, with just one additional argument.
Abline
Add horizontal or vertical ablines with geom_hline and geom_vline.
Scatterplot with rug
Add rug on X and Y axis to describe the numeric variable distribution. Show how geom_rug() works.
Marginal boxplot
Using boxplots is another way to show the marginal distribution. Find more in this post.
Axis
Customize ggplot2 axis: title, line, labels and ticks.
Background
Customize ggplot2 background: color, major and minor grid lines.
Legend
Customize ggplot2 legend: position, title, text, key symbol and more.
Basic
Learn how to add a title with ggtitle, default options.
Appearance
Learn how to change title font, size, color, text and more.
Position
Check how to change title position.
Facet_wrap
Facet wrap allows to build small multiples using one categorical variable.
Facet_grid
Same idea, but using 2 categorical variables for the faceting.
Customized
An advanced examples to make sure you know how to make your small multiple pretty.
Strip features
Customize the general layout with the strip option.
Mixing charts
How to combine several charts together with ggplot2.
Violin + boxplot + sample size
This examples provides 2 tricks: one to add a boxplot into the violin, the other to add sample size of each group on the X axis
Map marker feature to variable
Ggplot2 makes it a breeze to map a variable to a marker feature. Here is an example where marker color depends on its category.
Improve general appearance
Add title, use a theme, change color palette, control variable orders and more
Conditional color
Change shape parameters depending on where the data points is located compared to a threshold.
Cleveland dot plot
A variation of the lollipop chart to study several categories on the same chart.
Usual customizations like title, theme, color palette and more.
Droid
A BB8 droid made using R and ggplot2.
Random Shapes
A piece of generative art built with R and ggplot2.
R Snail
R Snail, a generative figure made by Christophe Cariou, built with R.
Most basic heatmap
The most basic heatmap you can build with R, using the heatmap() function.
Control the color palette used in the heatmap. Several methods shown.
Color scheme on the side
Add color beside the heatmap to compare actual structure with the expected one.
Most basic usage of geom_tile to build heatmap
Interactive version
It's very easy to turn your heatmap interactive with ggplotly, check it out!
Most basic use of the levelplot() function of the lattice package.
Reorder and swap X and Y axis
How to control row and column order on your heatmap.
Color palettes
How to use common color palette: R natives, R Color Brewer and Viridis.
Heatmap with smoothing
The latticeExtra allows to add a layer of heatmap with smoothing.
The most basic hexbin map you can do, just plotting the boundaries.
Add state names
This examples explains how to compute the hexagone baricenters to add labels.
Basic Choropleth
Color each hexagone with a color that represents a numeric value. It's a hexbin choropleth map.
Start with a hierarchical network
Hierarchical Edge Bundling is based on a hierarchy. An original node gives underlying nodes and so on. Final nodes are called leaves, displayed around the circle.
Draw a connection
The second required level is connection, stored in another dataset. Leaves are connected with curves instead of straight lines.
Most Basic Edge Bundling
This is the most basic hierarchical edge bundling you can build. It displays many connection between leaves.
Uniform color
You can use one unique color for all connections
Color depending on value or index
Color can also depends on value to represent the strength of the connection, or on the the node index.
Custom nodes
Change node features to display one more level of information on the chart
The most basic histogram you can do with R and ggplot2.
Control bin size
Playing with histogram bin size is an important step. Histogram appearance can greatly change, and so does the message you're trying to convey.
Mirror histogram
The mirror histogram allows to compare the distribution of 2 numeric variables.
Multi histogram
How to display several histograms on the same X axis
Using small multiple and histogram allows to compare the distribution of many groups with cluttering the figure.
Two histograms on split windows
Compare the distribution of 2 variables plotting 2 histograms one beside the other.
Mirrored histogram in base R
A mirrored histogram allows to compare the distribution of 2 variables. Here is how to build one in base R.
Get rid of borders
Just a small tip to get rid of histogram borders and improve the general appearance.
Most basic line chart with R and ggplot2
Basic customization
Basic customization to improve the line chart: size, color, type, theme, title and more
Deal with date
How to avoid struggling with dates on the X axis
Basic Grouped line chart
How to build a line chart representing several groups
Customized Grouped
Pick up a nice color palette, use a theme, add titles, and more.
Linear trend
geom_smooth allows to add the result of a model to your scatterplot, with confidence interval as well.
Annotation
Annotation allows to highlight main features of a chart. Learn how to add text, circles, lines and more.
Geom_smooth()
Geom_ribbon()
If you already know the upper and lower limits of the error envelop, geom_ribbon will plot it for you.
Spaghetti chart
Too many lines with 10+ legend entries? You are building a spaghetti chart and readers will struggle to get info from it.
Try to understand what really matters, highlight it and annotate it to make sure people get your point.
Split the layout: each group having its own space. It makes it easier to understand what's happening for each them.
Line color and Y value
Change the line color according to the Y axis value
Reversed Y axis
Learn how to flip the Y axis upside down using the ylim argument.
Polynomial curve
Line charts are often used to represent the result of a statistical model.
Line chart with 2 series
A classic line chart with 2 series, only 1 Y axis.
Dual Y axis line chart
Add a second Y axis for the second sery. See how chart conclusion gets different and wrong.
Add legend
Add a legend to specify what color is linked to what value.
Understand the basics of lollipop chart with this most simple version.
Customize markers
See the different options allowing to customize the marker on top of the stem.
Customize stems
See the different options allowing to customize the stems.
General appearance
How to use the theme() function to improve your chart genereal appearance.
Horizontal version
Make your lollipop chart horizontal → your labels will be easier to read
Change baseline
Change the baseline to highlight an interesting threshold.
Changing group order in a lollipop chart is important to add insight to the chart. Learn why and discover 3 methods to do so.
Highlight one or several groups to convey your message more efficiently. Play with group appearance and add text annotation.
The most basic background map you can do with R and the leaflet package. Default options only.
Zoom and Location
Learn how to zoom on a specific part of the map with the setView function.
Change tile
Several background tiles are offered by leaflet. Learn how to load them, and check the possibilities.
Read and plot Shapefiles
learn how to read and plot shapefiles thanks to the rgdal package.
Read and plot geoJSON files
learn how to read and plot geoJSON files thanks to the geojsonio package.
Select
How to select one or several regions in a geospatial object, and plot it.
Simplify
Simplifying a geospatial object allows to get a lighter object that will be plotted faster.
Centroid
Computing region centroids is a common task: it allows to add region labels afterwards.
Intro
An introduction to network diagram with R and the igraph package.
Explore all the parameters offered by the igraph package to customize chart appearance.
Layout algorithm
Several layout algorithm are offered by the igraph package. Learn how to use them and what are the possibilities.
Map variable to feature
Learn how to change node and link features according to external variables.
Clustering viz
Network diagrams can be used to visualize the result of correlation matrix.
Node size and edge #
Learn how to map node size to its number of links.
Most basic parallel chart
Most basic option using the ggparcoord() function of the ggally package
Highlight a group of interest to help people understand your story
Most basic option using the parcoord() function of the MASS package
Reorder variables
Reordering variables allows to avoid line crossings, and thus makes the chart more understandable
You are interested in a group compared to all the others? Highlight it.
Most basic piechart using the pie() function of base R.
Learn how to change pie shape, zoom in, add stripes, change labels and more.
Colors
How to pick a nice color palette and apply it to the piechart
Explains how to use coord_polar() on a barchart to get a pie chart
Make it clean
Clean the basic piechart: remove background, grid, axis labels
Add Labels
Compute and add labels on each slice, the trickiest part of the job.
Most basic ridgeline
The most basic ridgeline plot you can build with the ridgelines R package.
Distribution shape
Custom the distribution shape, here applying a histogram shape using binning.
Color gradient
Apply a color gradient to the chart. Makes the color scaled to the numeric variable.
Basic scatterplot
The most basic scatterplot you can build with R and ggplot2.Simply explains how to call the geom_point() function.
geom_point()
Custom marker features
The geom_point() function has option to custom color, stroke, shape, size and more. Learn how to call them.
Map to several features
Extension of the previous concept: several features can be mapped to variables in the same time
Most basic scatterplot
The most basic scatterplot you can build with R, using the plot() function.
plot() parameters
Custom your scatterplot with the arguments of the plot() function.
Set a linear model with lm(), and plot it on top of your scatterplot with line().
Confidence interval
Add a confidence interval around the polynomial model with polygon().
Lattice XYplot()
The lattice XYplot() allows to build one scatterplot for each level of a factor automatically.
Correlation of discrete variables
Make the circle size proportional to number of data points when working with discrete variables.
the mtext() function
mtext() allows to add text in margin. Useful to add an unique title for several charts.
split_screen() function
Split screen allows to split the chart window in several sections.
Split screen with par(mfrow())
The easiest way to split the graphic window is to use par(mfrow()).
Most basic radar
Start with a basic version, learn how to format your input dataset
Radar chart customizations
How to customize the chart appearance, polygon, net, labels and more.
Basic multi-group radar chart
Customization option offered by the fmsb package
About axis limits
Learn how to control chart axis limits
Reorder
Learn different methods to reorder the groups from top to bottom
Percent stacked
Switch to a stacked percent area graph where the sum of each time point is 100
The issue with stacking.
Try to understand how the green group evolved on the period. Pretty hard isn't it?
Line chart.
Switch to a line chart to understand better how each group behaved during the period.
Basic grouped barplot
The most basic grouped barplot you can build with R and ggplot2.
Basic Stacked barplot
Instead of having subgroups one beside another, they are on top of each other.
A parcent stacked barchart with R and ggplot2: each bar goes to 1, and show the proportion of each subgroup.
Apply some classic customization like title, color palette, theme and more.
Small multiple can be an alternartive to grouped barplot.
Most basic streamchart
The most basic streamchart you can build with R and the streamgraph package.
Grouped barplot
How to build a grouped barchart with base R
Stacked barplot
Put subgroups on top of each other in a stacked barplot
Percent stacked barplot
Compare proportion in the whole with a percent stacked barchart
Likert package
The Likert package allows to build visualization for questionnaire answers
Change offset
By default a streamchart is displayed all around a horizontal line. You can change that thanks to the offset option
Change shape
Leave the smooth and rounded option to get something similar to a stacked area chart or to a stacked barplot.
Change color
Several ways to change the color palette used on the chart.
Most basic line chart with R and ggplot2 for time series data visualization
X labels
Customize the X axis labels with any date format
Time frame
Select the time frame of interest in your input data
The most basic time sery visual you can build with the dygraphs library. Explanation about possible input formats.
Several series
How to display several series on the same chart.
Area chart
Build an interactive area chart for time series with dygraphs.
Candlestick
Build an interactive Candlestick chart for time series with dygraphs.
Add confidence interval around interactive line chart for time series with dygraphs.
Step plot
Build an interactive step plot for time series with dygraphs.
Most basic treemap
Start with the most basic treemap you can build. No customization, no subgroups, easy code.
Multi-level treemap
How to build a treemap with group and subgroups.
Customize treemap labels, borders, color palette and more
Most basic Venn diagram
This is the most basic venn diagram you can build with R and the VennDiagram package.
Description of the long list of options available to customize the venn diagram.
Application to a real dataset: the lyrics of 3 famous French singers.
Most basic violin chart
Most basic violin using default parameters.Focus on the 2 input formats you can have: long and wide
Changing group order in your violin chart is important. It adds insight to the chart. Learn why and discover 3 methods to do so.
Flipping X and Y axis allows to get a horizontal version. Group labels become much more readable
Grouped violin chart
A grouped violin displays the distribution of a variable for groups and subgroups. Here is an implementation with R and ggplot2
Vioplot package
Vioplot
The vioplot package allows to build violin charts. Learn how it works.
vioplot
Most basic wordcloud
See what input file is needed to run the basic wordcloud2 function with default parameters.
Text color: random
Change word color to random dark
Text color: 2 colors
Provide a vector of color.
Background color
How to change the background color with the backgroundColor argument
Available shapes
A few shapes are available to be used as Masks.
Your image as a mask
You can use any image as a mask.
Text rotation
Chinese version
Use a letter as a Mask
Use a word as a Mask
See what input file is needed to build this basic wordcloud.
Text analysis
A text analysis by Benjamin Tovarcis for document classification.


React AppCo App Landing Page Template. Its is fully responsive and mobile friendly app showcase React template. React AppCo This template is highly suitable to sell your product.
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- Homepage with 5 variations
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- Build with Bootstrap with latest version
- Clean code, well formatted code
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- Cross Browser Compatible
- Used Google Fonts
- Themify Icon Included
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What you get?
- Reducers, Actions
- Home pages with 5 variations
- Features section with variations
- Header section with variations
- Promo section with variations
- Video Promo section with variations
- About section with variations
- Price section with variations
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- HTML files
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Credits
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Demo images are not included in main downloadable file.
Demo image used only for preview purpose.


THE HOUSE OF MIRTH ------------------
Lily Bart (Gillian Anderson) is a beautiful socialite trying to land a rich husband in the shark infested waters of turn of the century New York society. She loves Lawrence Seldon (Eric Stoltz), but won't consider marrying a working man. Lily is adept at making bad choices and when her acceptance of a married man's financial advise is perceived as an affair, her fortunes quickly nosedive in writer/director Terence Davies' Edith Wharton adaptation, "The House of Mirth."
LAURA:
British director Davies ("Distant Voices, Still Lives") has gathered an unusual cast and set them in an unusual stand-in for New York (Glasgow, Scotland) to tell Wharton's tragic tale. They (mostly) work.
Lily doesn't value her lover until she discovers she has a competitor, Mrs. Bertha Dorset (Laura Linney, "You Can Count on Me"). (She later comes into possession of Bertha's love letters to Seldon - she's mistakenly blackmailed by a housekeeper at his apartment building, The Benedict, who's seen Lily leaving Seldon's rooms - which could provide her only means of salvation.) Yet she still parades her prospects in front of Lawrence in a kind of 'we're all adults here' manner. She doesn't treat these men much better. Mr. Gryce (Pearce Quigley) becomes discouraged with her lack of attention and Mr. Rosedale (Anthony Lapaglia), while rich, isn't deemed of proper social standing.
After she discovers that the investment earnings of $10,000 given her by a hopeful Gus Trenor (Dan Aykroyd) were really gifts, she's determined to repay the money which she's already spent. Her social circle, however, shuns her, for having kept company with the married Trenor. Her inheritance from her wealthy aunt (Eleanor Bron, "The Little Princess"), $10,000, is long in coming and her spiteful cousin Grace (Jodhi May, "A World Apart") refuses to help. Now Mr. Rosedale considers her damaged goods. Only the eccentric Carry Fisher (Elizabeth McGovern) will remain her friend. A position as a companion ends when her employer Mrs. Hatch (Lorelie King) enters society and an apprenticeship at a milliner's fails as well. She refuses help from a truly distressed Rosedale, who somehow knows, and reminds her of, Bertha's incriminating letters.
Any who judge Anderson as wooden based on her portray of "The X-Files'" Agent Scully will surely change their opinion after viewing her work here. Although she seems a bit too modern at first (a problem that costars Dan Aykroyd and Anthony Lapaglia don't overcome), Anderson turns that into an asset as she gets into Lily Bart's skin. As Lily's over confidence, even snobbery, turns to disbelief, then resignation, Anderson fully engages us in Bart's complex and unfair situation. The wash of emotions that play over Anderson's face when Mr. Rosedale tells the impoverished Lily that 'you could wipe your feet on them' (referring to society) is one of the finest pieces of acting in the year 2000. It's a brilliant performance.
Stoltz plays Seldon cooly, as a man of privilege, who retains control of his emotions until it's too late. McGovern, a fine, under utilized actress, is solid as the unconventional Mrs. Fisher. Laura Linney pulls out her claws as the shrewish, manipulative Bertha. Dan Aykroyd isn't quite right as Gus Trenor. Lapaglia also seems miscast as Sim Rosedale, although when his character's standing rises above Lily's he wears the role more successfully.
Davies' adaptation encompasses all the layers and below surface simmerings of Wharton's story. His modern use of cigarettes to signify passion is amusing - where there's smoke, there's fire. Things are said loudly, without being said at all, such as when Rosedale tells Lily he owns The Benedict and informs her that its name means confirmed bachelor.
The location choice of Glasgow, which is strong in Victorian architecture, doesn't capture a New York feel, but Davies uses intimate shots to focus on his characters rather than their surroundings. This Wharton adaptation is very different from Scorcese's "The Age of Innocence," where costume and art production were lively and pushed to the forefront. Davies' film is dark, brooding and a bit heavy feeling (cinematography by Remi Adefarasin ("Elizabeth") and production design by Don Taylor ("Emma")).
"The House of Mirth" is an ironic title for a literary heroine with an ironic fate. Lily Bart's story is compelling and Gillian Anderson's portrayal of her is inspired.
A-
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Software projects fail for one of two general reasons: the project team lacks the knowledge to conduct a software project successfully, or the project team lacks the resolve to conduct a project effectively. --Steve McConnell [ source]


HistoryListViewController
class HistoryListViewController : EditorViewControllerBaseClass, UITableViewDataSource, UITableViewDelegate
This class controls the list of history items for a meeting, with some allowing rollback.
-
The reuse ID for the history prototype.
Declaration
Swift
private let _reuseID: String
-
The segue ID for the manually-triggered “More Details” viewer.
Declaration
Swift
private let _detailSegueID: String
-
This contains a list of changelists, associated with more info buttons.
Declaration
Swift
private var _moreDetailHistoryItems: [UIButton : BMLTiOSLibChangeNode]
-
This is the table view that displays all the history items.
Declaration
Swift
@IBOutlet weak var tableView: UITableView!
-
This is the “busy” animation.
Declaration
Swift
@IBOutlet weak var animationCoverView: UIView!
-
This label is displayed when we have an empty history.
Declaration
Swift
@IBOutlet weak var noHistoryLabel: UILabel!
-
This is the meeting object for this instance.
Declaration
Swift
var meetingObject: BMLTiOSLibEditableMeetingNode!
-
Called as the view is about to appear.
Declaration
Swift
override func viewWillAppear(_ animated: Bool)
Parameters
animated
True, if the appearance is animated.
-
Called to tell the controller to update it’s appearance.
Declaration
Swift
override func prepare(for segue: UIStoryboardSegue, sender: Any?)
-
Called when the load is complete. We use this to set the text for the hidden “no history” item.
Declaration
Swift
override func viewDidLoad()
-
Called when the layout is complete. We use this to trigger a new table update.
Declaration
Swift
override func viewDidLayoutSubviews()
-
Called when the More Info button is hit.
Declaration
Swift
@IBAction func moreInfoButtonHit(_ sender: UIButton)
-
Called to tell the controller to update it’s appearance.
Declaration
Swift
func updateHistory()
-
Declaration
Swift
func tableView(_ tableView: UITableView, numberOfRowsInSection section: Int) -> Int
Parameters
tableView
The UITableView object requesting the view
numberOfRowsInSection
The section index (0-based).
-
This is the routine that creates a new table row for the Meeting indicated by the index.
Declaration
Swift
func tableView(_ tableView: UITableView, cellForRowAt indexPath: IndexPath) -> UITableViewCell
Parameters
tableView
The UITableView object requesting the view
cellForRowAt
The IndexPath of the requested cell.
-
Called before a row is selected.
Declaration
Swift
func tableView(_ tableView: UITableView, willSelectRowAt indexPath: IndexPath) -> IndexPath?
Parameters
tableView
The table view being checked
willSelectRowAt
The indexpath of the row being selected.
Return Value
nil (don’t let selection happen).


|
| void | ReleasePoolable () |
| | When done using a poolable, call this to release it. If the object belongs to a pool, this should typically return the object to its pool. If the object does not belong to a pool, this should typically destroy the object. More...
|
| |
| void | OnPoolTake () |
| | Called when an object is taken from the pool. More...
|
| |
| void | OnPoolWarm () |
| | Called on a poolable when it is created at pool start up to 'warm' the pool. Pool warming typically should happen under conditions where a frame can do expensive ops, e.g. at app startup while the loading screen is still showing. More...
|
| |
| void | OnPoolReturn () |
| | Called on a poolable when it is returned to its pool More...
|
| |
|
| Action | releasePoolableDelegate [get, set] |
| | The action that gets executed on release. Generally you should NOT set this method. Typically its set by the pool that created/manages the object and called within Release (to return the object to the pool). More...
|
| |
◆ OnPoolReturn()
| void BeatThat.Pools.UnityObjects.IPoolable.OnPoolReturn |
( |
| ) |
|
Called on a poolable when it is returned to its pool
◆ OnPoolTake()
| void BeatThat.Pools.UnityObjects.IPoolable.OnPoolTake |
( |
| ) |
|
Called when an object is taken from the pool.
◆ OnPoolWarm()
| void BeatThat.Pools.UnityObjects.IPoolable.OnPoolWarm |
( |
| ) |
|
Called on a poolable when it is created at pool start up to 'warm' the pool. Pool warming typically should happen under conditions where a frame can do expensive ops, e.g. at app startup while the loading screen is still showing.
◆ ReleasePoolable()
| void BeatThat.Pools.UnityObjects.IPoolable.ReleasePoolable |
( |
| ) |
|
When done using a poolable, call this to release it. If the object belongs to a pool, this should typically return the object to its pool. If the object does not belong to a pool, this should typically destroy the object.
◆ releasePoolableDelegate
| Action BeatThat.Pools.UnityObjects.IPoolable.releasePoolableDelegate |
|
getset |
The action that gets executed on release. Generally you should NOT set this method. Typically its set by the pool that created/manages the object and called within Release (to return the object to the pool).
The release poolable delegate.
The documentation for this interface was generated from the following file:
- Runtime/pool-unity-objects/IPoolable.cs


A Battery Management System (BMS) is a device that is responsible for both monitoring the health and state of a battery pack and protecting it by determining the maximum amount of energy that can be drawn or put into it.


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Thousands of devices with widely different performance, tens of Android versions multiplied by countles customizations, users from all over the world - are you sure your app works as well for everyone as it does for you?
We will make sure you know how your app performs across your userbase, and solve problems with performance, memory usage, networking, battery impact, compatibility, and much more.
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Being selective helps in delivering top quality results, consistently. Your project requires careful attention, and your business requires reliability. Contact us and let us increase your revenue!
We are your Companion.


SLING BLADE A film review by James Berardinelli Copyright 1996 James Berardinelli
RATING (0 TO 10): 7.5 Alternative Scale: *** out of ****
United States, 1996 U.S. Release Date: beginning 11/22/96 (limited) Running Length: 2:15 MPAA Classification: R (Violence, profanity) Theatrical Aspect Ratio: 1.85:1
Cast: Billy Bob Thornton, Lucas Black, Dwight Yoakam, Natalie Canderday, John Ritter, James Hampton, J.T. Walsh, Robert Duvall Director: Billy Bob Thornton Producers: David L. Bushell, Brandon Rosser Screenplay: Billy Bob Thornton Cinematography: Barry Markowitz Music: Daniel Lanois U.S. Distributor: Miramax Films
SLING BLADE, the directorial debut of actor/writer Billy Bob Thornton (who scripted ONE FALSE MOVE and A FAMILY THING), is a fascinating examination of a damaged man's quest to make restitution for his past crimes. To a lesser extent, it also offers an atypical vision of the concept of "family" in modern society. Thornton has developed SLING BLADE as a slowly-paced character study. Nearly every scene is designed to reveal something about one of characters rather than advance the minimalist story. The narrative is little more than a flimsy envelope -- it's the men and women who are sealed within that make SLING BLADE worth watching.
The best acting in the entire motion picture is by Thornton himself. He plays Karl Childers, a "mentally challenged" man who has been incarcerated in the Arkansas State Hospital for the criminally insane since the age of nine, when he butchered his mother and her lover with a sling blade. As the film opens, Karl is being released from the hospital. According to the doctors, he has been cured. By Karl's own admission, he doesn't reckon he's got a reason to kill anyone else. But we in the audience aren't so sure. His rough, gravely voice is intimidating, and his nervous mannerisms -- constantly rubbing his hands together, uttering "uh-huh"s every few words, and never meeting anyone else's gaze -- do not inspire confidence. Is he still dangerous, or just the "gentle, simple man" others see him to be?
It's not an easy question, and SLING BLADE doesn't insult us with an easy answer. Despite his low IQ, Karl is every bit as complex as any other human being -- if not moreso. There's a little bit of FORREST GUMP in him.
Once Karl is out of the hospital, he goes to work as a mechanic in the small town where he was born (and where he committed his crime). He befriends a fatherless young boy, Frank Wheatley (Lucas Black), and, after meeting Frank's mother, Linda (Natalie Canderday), is invited to live in their garage. Frank is glad to have Karl around, not just because he yearns for a father-figure, but because he's afraid of Linda's often-drunk, abusive boyfriend, Doyle (Dwight Yoakam), and believes that Karl's presence will keep Doyle in line. Meanwhile, Linda's friend and boss, Vaughan Cunningham (John Ritter), is concerned about a stranger living with Frank and Linda, and decides to keep an eye on the newcomer.
It could be argued that the ending is predictable, but I think "inevitable" is a better word. The audience sees the resolution long before any of SLING BLADE's characters do, but that's because we're more removed from the situation than they are. The film builds to a perfectly-fitting, climactic moment. The key scene is not overplayed, nor are the ramifications.
When we first meet Karl in SLING BLADE's prologue, he is a strange, sinister figure recounting his history to a local high school newspaper reporter. As we get to know him, however, we come to understand the depth of his personality, and the manner in which personal tragedies have formed his character. By bonding with Frank, Karl sees a path to redemption, a way to salve the wounds inflicted by his two long-ago misdeeds (the double murder and an equally horrifying crime that he was an accomplice to). In the process, he illustrates how much more there is to being a father than supplying sperm and applying a "firm hand". Karl seeks to save Frank the way his own father was unable to save him.
While Thornton's performance is obviously the standout, there are a number of noteworthy turns by supporting actors. Lucas Black and Natalie Canderday are both believable, and John Ritter is surprisingly effective playing against type as an effeminate homosexual. Dwight Yoakam goes a little over-the-top as the despicable Doyle, but that's the nature of the character. SLING BLADE also features cameos by some impressive names: Robert Duvall (Karl's father), J.T. Walsh (a fellow inmate at the hospital), and Jim Jarmusch (an ice cream salesman).
SLING BLADE runs for a little longer than it needs to, and there are a few scenes that border on being too cute (such as one where Karl's "date" from the previous evening gives him flowers), but, in general, it's a fine motion picture. Karl is sufficiently interesting to hold our attention for more than two hours, and, if the resolution of his dilemma is obvious, watching him arrive at it makes SLING BLADE worthwhile. Billy Bob Thornton has done some interesting things with this film; his next project should be worth the wait.
- James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Owning Palette: Array Classes, Controls, and VIs
Requires: Labstache
Wraps, or converts, an array of LabVIEW values into an Mustache array.
| Data is an array of Mustache data objects that have already been wrapped, or converted, into a Mustache data value. | |
| Array represents a Mustache data type with LabVIEW objects. |
| Strings is an array of LabVIEW strings that should be wrapped, or converted, into a Mustache data array. Each element will be converted to a String Mustache data value. | |
| Array represents a Mustache data type with LabVIEW objects. |
| Paths is an array of LabVIEW paths that should be wrapped, or converted, into a Mustache data array. Each element will be converted to a Path Mustache data value. | |
| Array represents a Mustache data type with LabVIEW objects. |
| Data is an array of Mustache data objects that have already been wrapped, or converted, into a Mustache data value. Each element will be converted to a key-value pair with the same key. | |
| Key is the same key used for each datum in Data as each datum is converted to a key-value pair. This is useful when working with sections that loop over data. | |
| Array represents a Mustache data type with LabVIEW objects. |
| Strings is an array of LabVIEW strings that should be wrapped, or converted, into a Mustache data array. Each element will be converted to a key-value pair with the key from Key and the value converted to a String Mustache data value. | |
| Key is the same key used for each string in Strings as each string is converted to a key-value pair. This is useful when working with sections that loop over data. | |
| Array represents a Mustache data type with LabVIEW objects. |
| Paths is an array of LabVIEW strings that should be wrapped, or converted, into a Mustache data array. Each element will be converted to a key-value pair with the key from Key and the value converted to a Path Mustache data value. | |
| Key is the same key used for each path in Paths as each path is converted to a key-value pair. This is useful when working with sections that loop over data. | |
| Array represents a Mustache data type with LabVIEW objects. |


Open
Hint: try https://cdn.staticaly.com/gh/bpmn-io/bpmn-js-examples/dfceecba/url-viewer/resources/pizza-collaboration.bpmn
https://cdn.staticaly.com/gh/bpmn-io/bpmn-js-examples/dfceecba/url-viewer/resources/pizza-collaboration.bpmn


elm-conf US 2016
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elm-conf is a one-day conference focusing on the Elm programming language and its libraries, colocated with Strange Loop. It aims to be a welcoming place for people worldwide to meet one another and learn about what is happening with the language and community.
We have a full lineup of great speakers for elm-conf. We have a wide range of topics, from making music to diving into how Elm helps ADHD to using templates for easier maintenance. It's going to be quite a day!


Lens in scala
In this article let’s take a look at such a thing as lens(or lenses). A Lens is an abstraction from functional programming which helps to deal with a problem of updating complex immutable nested objects like this:
case class User(id: UserId, generalInfo: GeneralInfo, billInfo: BillInfo)
case class UserId(value: Long)
case class GeneralInfo(email: Email,
password: String,
siteInfo: SiteInfo,
isEmailConfirmed: Boolean = false,
phone: String,
isPhoneConfirmed: Boolean = false)
case class SiteInfo(alias: String, avatarUrl: String, userRating: Double = 0.0d)
case class Email(value: String)
case class BillInfo(addresses: Seq[Address], name: Name)
case class Name(firstName: String, secondName: String)
case class Address(country: Country, city: City, street: String, house: String, isConfirmed: Boolean = false)
case class City(name: String)
case class Country(name: String)
If we want to increase userRating
in this model then we will have to write such a code:
val updatedUser = user.copy(
generalInfo = user.generalInfo.copy(
siteInfo = user.generalInfo.siteInfo.copy(
userRating = user.generalInfo.siteInfo.userRating + 1
)
)
)
And we have to write the code below to confirm all of the addresses in BillInfo
val updatedAddresses = user.billInfo.addresses.map(_.copy(isConfirmed = true))
val updatedUser = user.copy(
billInfo = user.billInfo.copy(addresses = updatedAddresses)
)
If we increase a level of nesting in our structures then we will considerably increase amount of a code like this. In such cases lens give a cleaner way to make changes in nested structures.
Using quicklens we can do it much simpler:
import com.softwaremill.quicklens._
//update rating using quicklens
val userWithRating = user.modify(_.generalInfo.siteInfo.userRating).using(_ + 1)
//confirm all the addresses of a user with quicklens
val userWithConfimedAddresses = user.modify(_.billInfo.addresses.each.isConfirmed).using(_ => true)
Now we have base understanding of lens purpose. In the next parts of this article we will see how to use each of the libraries from the list.
Available implementations
There are several implementations in scala:
We will take a look at all of them in this article. A project with examples can be found here
scalaz.Lens
If we want to use scalaz.Lens
at first we should define lens:
val siteInfoRatingLens = Lens.lensu[SiteInfo, Double](
(info, value) => info.copy(userRating = value),
_.userRating
)
The first type parameter is needed to set in which class(MainClass
) we will change value and the second type parameter defines the class(FieldClass
) of the field which we will change with the lens. As you can see we should also send two functions to lensu(...)
method. The first function defines how to change MainClass
using a new value. The second function is used to get value of the field which we want to change.
In order to make possible changes of userRating
field directly in User
object we should create additional lens.
val generalInfoSiteInfoLens = Lens.lensu[GeneralInfo, SiteInfo](
(general, site) => general.copy(siteInfo = site),
_.siteInfo
)
val userGeneralInfoLens = Lens.lensu[User, GeneralInfo](
(user, info) => user.copy(generalInfo = info),
_.generalInfo
)
and compose them in the chain User.generalInfo -> GeneralInfo.siteInfo -> SiteInfo.userRating
.
We can use different approaches:
>=>
- alias forandThen(...)
method<=<
- alias forcompose(...)
method
Example below:
//andThen
val userRatingLens1 = userGeneralInfoLens >=> generalInfoSiteInfoLens >=> siteInfoRatingLens
val userRatingLens2 = userGeneralInfoLens.andThen(generalInfoSiteInfoLens).andThen(siteInfoRatingLens)
//compose
val userRatingLens3 = siteInfoRatingLens <=< generalInfoSiteInfoLens <=< userGeneralInfoLens
val userRatingLens4 = siteInfoRatingLens.compose(generalInfoSiteInfoLens).compose(userGeneralInfoLens)
val user = ProblemExample.user
//same operations
println(userRatingLens1.set(user, 1).generalInfo.siteInfo.userRating)
println(userRatingLens2.set(user, 2).generalInfo.siteInfo.userRating)
println(userRatingLens3.set(user, 3).generalInfo.siteInfo.userRating)
println(userRatingLens4.set(user, 4).generalInfo.siteInfo.userRating)
If you want to change isConfirmed
to true in each address as it is described in the introduction example then you should use a different operator: =>=
- alias for mod(...)
method
This operator get value using lens, modify it and create a new object with a changed value.
val userBillInfoLens = Lens.lensu[User, BillInfo](
(user, info) => user.copy(billInfo = info),
_.billInfo
)
val billInfoAddressesLens = Lens.lensu[BillInfo, Seq[Address]](
(info, addresses) => info.copy(addresses = addresses),
_.addresses
)
val isConfirmedLens = (userBillInfoLens >=> billInfoAddressesLens) =>= { _.map(_.copy(isConfirmed = true)) }
val user = ProblemExample.user
println(isConfirmedLens(user).billInfo.addresses)
That is how we can use scalaz.Lens. It is quite hard and we will reduce amount of the code only if we have very complex nesting and implement enough lens to compose them. But now we have a notion about how we can use scalaz.Lens
Quicklens
Use of scalaz.Lens is quite difficult but if we are not afraid to use macros in a project we might use quicklens
instead. You have already seen a simple example for quicklens
so let’s go deeper and see what else quicklens
can do.
Quicklens
has support of chain modifications which can be helpful if you want to change several fields at the same time
import com.softwaremill.quicklens._
val user = ProblemExample.user
val updatedUser = user
.modify(_.generalInfo.siteInfo.userRating).using(_ + 1)
.modify(_.billInfo.addresses.each.isConfirmed).using(_ => true)
println(updatedUser.generalInfo.siteInfo.userRating)
println(updatedUser.billInfo.addresses)
It is also possible to create reusable lens as well as in scalaz.Lens
import com.softwaremill.quicklens._
val userRatingLens = modify(_:User)(_.generalInfo.siteInfo.userRating).using _
val user = ProblemExample.user
val updatedUser1 = userRatingLens(user)(_ + 10)
val updatedUser2 = userRatingLens(user)(_ + 12)
println(updatedUser1.generalInfo.siteInfo.userRating)
println(updatedUser2.generalInfo.siteInfo.userRating)
Of course lens composition is also possible:
import com.softwaremill.quicklens._
//create lens
val generalInfoLens = modify(_:User)(_.generalInfo)
val emailConfirmedLens = modify(_:GeneralInfo)(_.isEmailConfirmed)
val phoneConfirmedLens = modify(_:GeneralInfo)(_.isPhoneConfirmed)
//compose the lens
val confirmEmail = generalInfoLens.andThenModify(emailConfirmedLens)(_:User).using(_ => true)
val confirmPhone = generalInfoLens.andThenModify(phoneConfirmedLens)(_:User).using(_ => true)
val user = ProblemExample.user
//compose the functions in order to make both changes at once
val updatedUser = confirmEmail.andThen(confirmPhone)(user)
println(updatedUser.generalInfo.isEmailConfirmed)
println(updatedUser.generalInfo.isPhoneConfirmed)
Sauron
As it is said on the main page of Sauron
repo it has been inspired by quicklens
but it has much simpler implementation and less number of features. And also has additional dependency on "org.scalamacros" % "paradise" % "2.1.0-M5"
So lets see what exactly sauron
can do.
The first is changing of value of userRating
import com.github.pathikrit.sauron._
val user = ProblemExample.user
val updatedUser = lens(user)(_.generalInfo.siteInfo.userRating)(_ + 10)
println(updatedUser.generalInfo.siteInfo.userRating)
Then reusing lens in order to change a specific object:
import com.github.pathikrit.sauron._
val user = ProblemExample.user
val userRatingLens = lens(user)(_.generalInfo.siteInfo.userRating)
val userWith20Rating = userRatingLens(_ => 20)
val userWith100Rating = userRatingLens( _ + 100 )
println(userWith20Rating.generalInfo.siteInfo.userRating)
println(userWith100Rating.generalInfo.siteInfo.userRating)
And the example below shows hot to define lens for changing different objects:
import com.github.pathikrit.sauron._
val userRatingLens = lens(_:User)(_.generalInfo.siteInfo.userRating)
val user = ProblemExample.user
val userWith20Rating = userRatingLens(user)(_ => 20)
val userWith100Rating = userRatingLens(user)( _ + 100 )
println(userWith20Rating.generalInfo.siteInfo.userRating)
println(userWith100Rating.generalInfo.siteInfo.userRating)
Also sauron
has lens composition:
import com.github.pathikrit.sauron._
val generalInfoLens = lens(_:User)(_.generalInfo)
val emailConfirmedLens = lens(_:GeneralInfo)(_.isEmailConfirmed)
val phoneConfirmedLens = lens(_:GeneralInfo)(_.isPhoneConfirmed)
val user = ProblemExample.user
val confirmEmail = generalInfoLens.andThenLens(emailConfirmedLens)(_:User)(_ => true)
val confirmPhone = generalInfoLens.andThenLens(phoneConfirmedLens)(_:User)(_ => true)
//compose the functions in order to make both changes at once
val updatedUser = confirmEmail.andThen(confirmPhone)(user)
println(updatedUser.generalInfo.isEmailConfirmed)
println(updatedUser.generalInfo.isPhoneConfirmed)
You can see that the example above is quite similar to quicklens
example of lens composition.
Monocle
The last lens library which we will direct our attention to is Monocle
. It is not just a lens library. It also contains logic for work with prisms but here we will only look at a lens’s part of the library.
As other libraries Monocle
supports lens creation. Common way to create lens is very similar to scalaz.Lens - we should create individual lens for our types manually:
import monocle.Lens
//create lens
val generalInfoLens = Lens[User, GeneralInfo](_.generalInfo)(info => user => user.copy(generalInfo = info))
val siteInfoLens = Lens[GeneralInfo, SiteInfo](_.siteInfo)(site => general => general.copy(siteInfo = site))
val userRatingLens =
Lens[SiteInfo, Double](_.userRating)(rating => siteInfo => siteInfo.copy(userRating = rating))
//and compose them together
val changeRatingLens = generalInfoLens.composeLens(siteInfoLens).composeLens(userRatingLens)
val user = ProblemExample.user
val updatedUser = changeRatingLens.set(20)(user)
println(updatedUser.generalInfo.siteInfo.userRating)
Simpler way is to use macros
import monocle.macros.GenLens
val changeRatingLens = GenLens[User](_.generalInfo.siteInfo.userRating)
val plus100RatingLens = changeRatingLens.modify(_ + 100)
val user = ProblemExample.user
val updatedUser = plus100RatingLens(user)
println(updatedUser.generalInfo.siteInfo.userRating)
There also is support of the annotation @Lenses
which generates monocle.Lenses
for all fields of a case class. If we define a case class using this annotation all its fields will have type like monocle.Lens[S, A]
import monocle.macros.Lenses
@Lenses case class Address(name: String)
@Lenses case class Person(address: Address)
val addressNameLens = Person.address composeLens Address.name
val changeNameFunc = addressNameLens.modify(_.toUpperCase)(_:Person)
val person = Person(Address("person_address"))
val updatedPerson = changeNameFunc(person)
println(updatedPerson)
This annontation might be helpful if you want to use lens pretty often in your code.
Results
- scalaz.Lens - if you already have scalaz in a project and you are not bothered to write some code in order to define lens
- Quicklens - easy to use and powerful enough to deal with the described problem
- Sauron - very similar to Quicklens and has a less size but also has less fucntionality
- Monocle - a powerful library which can help if there is necessity to use lots of lens in a code.
My choise is Quicklens because it is not so complex as scalaz.Lens and it does what is needed.
Links
- coffius/koffio-lenses - examples for this article
- Quicklens
- Sauron
- Monocle


Take an Official Look at the fragment design x CLOT x Nike Air Force 1 "Black Silk"
Edison Chen, Kevin Poon and Hiroshi Fujiwara reveal what’s hidden underneath.
by Nicolaus LiAfter weeks of teasing, we now have an official look at the fragment design x CLOT x Nike Air Force 1 “Black Silk” and some release details. Taking to Instagram, CLOT founders Edison Chen, Kevin Poon and Hiroshi Fujiwara to reveal what is hidden underneath the sequel to the popular Air Force 1 “Royale University Blue Silk.”
This time around the low-cut model features a black silk upper which continues the Silk Royale pattern which CLOT first used in 2007 and has been used in an array of its exclusive products and special collaborations. But under the silk outer layer is a premium red leather base etched with a fragment design thunderbolt take on the traditional Chinese-inspired pattern. The initial tonal look is continued on the perforated leather lining laces, eyelets and dubrae which also come in sleek black. Branding on the shoe comes in the form of midfoot Swooshes, tongue tags and “Nike Air” embroidery at the rear. Rounding up the collaboration is a clean white midsole paired with a contrasting gum rubber outsole.
Priced ¥28,500 JPY (approximately $262 USD), the fragment design x CLOT x Nike Air Force 1 “Black Silk” is releasing in limited quantities at POP BY JUN at Shibuya PARCO with a drop at JUICE stores sometime next week. Stay tuned for more details regarding the wider release.
In case you missed it, CLOT and Modernica created a limited-edition “Royale University Blue Silk” Fiberglass Chair.
fragment design x CLOT x Nike Air Force 1 “Black Silk”
Release Date
November 22, 2019 - 2:24 pm EST (TBC)
Price
28500 USD


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