Nyzo version 518 (commit on GitHub) corrects a transaction-validation issue that could cause the chain-freezing process of version 517 to fail.
This version affects both the verifier and the sentinel. The transaction-validation issue was also affecting the sentinel in fast-fetch mode.
In the fromByteBuffer() method of the Block class, the block height and previous-block hash are now provided to the Transaction.fromByteBuffer() method. This information is used to find the previous-block hash of the transaction if the block referenced has not yet been frozen.
In BlockVoteManager.requestMissingFrozenBlocks(), the separate requests for missing blocks have been replaced by a single request. The separate requests were used due to the observation that multiple-block requests frequently failed when the sentinel was in fast-fetch mode. This was a case where we did not follow our rule of fully understanding an existing problem before releasing new code, and we regret not digging deeper before releasing version 517. The root cause of the sentinel fast-fetch problem was also found to interfere with the chain-freezing technique introduced in version 517.
Also, the callback has been eliminated. Its only purpose was to register blocks with the unfrozen-block manager, and that is now done automatically when the response is received.
The Transaction.fromByteBuffer() method now has an override that accepts the height of the transaction and the hash of the previous block in the chain. When the method is called with its old signature, a height of zero and an empty hash cause the method to behave exactly as it did before.
Previously, lookup of the block referenced for a previous-block hash would only look to blocks already frozen on this verifier. Now, to support receipt of blocks that contain transactions referencing other blocks not yet frozen on this verifier, a more thorough lookup is performed.
The new lookup method first looks to frozen blocks. However, if the transaction references a block that is not yet frozen on this verifier, the lookup will now step back through unfrozen blocks to attempt to find the referenced block.
In UnfrozenBlockManager, cleanup of the disconnected-blocks map has been moved from attemptToRegisterDisconnectedBlocks() to the more appropriate location of performMaintenance(). This was done because the sentinel now needs to perform this cleanup, and the sentinel currently has no need to register disconnected blocks.
Visibility of the unverifiedBlockAtHeight() method has been widened to allow the Transaction class to access it.
In BlockResponse, blocks are now immediately registered with the unfrozen-block manager as they are created. This is necessary because, with multiple-block responses, a transaction in one of the later blocks of the response may reference a block earlier in the request. Also, the number of blocks is now limited to 10 by the recipient of these responses, as this response should not contain more than 10 blocks. In the future, a number of other protections will be put in place to protect the unfrozen-block pool from memory-related attacks.
The sentinel now performs cleanup on the unfrozen-block manager whenever blocks are frozen. While the sentinel does not explicitly register blocks with the unfrozen-block manager, the block responses now register all blocks automatically. From a design standpoint, we find this mechanism troubling — simply reading a response is now causing the state of a class to change, and that state change requires additional maintenance work to ensure the program continues to run smoothly. This is the kind of solution that, left unchecked and repeated for other problems, eventually leads to a codebase that is exceptionally difficult to understand and debug. While the change is necessary and appropriate at this point in time, we hope to find a more elegant solution in the future.


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Spurs snap skid with win over Knicks
PHILADELPHIA, Nov 24 — LaMarcus Aldridge scored 23 points as the visiting San Antonio Spurs snapped an eight-game losing skid yesterday with an 111-104 victory over the New York Knicks.
DeMar DeRozan collected 21 points and nine rebounds and Patty Mills sank all five of his 3-point attempts to highlight his 17-point performance for the Spurs, who ended their worst slide since the 1996-97 season.
Jakob Poeltl had 11 points and 10 rebounds as San Antonio posted its first win since a 121-112 victory versus Oklahoma City on November 7.
Marcus Morris Sr. scored 20 points and Bobby Portis recorded 13 of his 16 points in the first half for the Knicks, who were swept in the season series and have lost eight of their last 11 encounters with the Spurs.
San Antonio shot 59.1 per cent from the floor (26 of 44) and 53.3 per cent from 3-point range (8 of 15) to secure a 68-43 advantage at halftime.
Aldridge’s 3-pointer early in the third quarter gave the Spurs their largest lead of the season at 73-45 before New York slowly chipped away.
Wayne Ellington sank back-to-back 3-pointers and Portis connected from beyond the arc as the Knicks cut San Antonio’s lead to 85-71 with 1:41 left in the third quarter.
Morris converted a four-point play after draining a 3-pointer while being fouled by Rudy Gay. Rookie RJ Barrett’s layup trimmed the Spurs’ lead to 105-98 with 3:30 left, but New York was unable to close the gap.
San Antonio wasted little time getting the early jump on New York, as DeRozan scored five quick points to cap the Spurs’ 7-0 run to start the game. San Antonio kept its foot on the gas, with Mills completing a 15-2 run by draining a 3-pointer to push the team’s advantage to 26-9.
Poeltl’s alley-oop dunk gave the Spurs a 32-16 lead after the first quarter, marking the first time that the club held a team below 20 points in a quarter since its 113-110 victory over Portland on October 28.
Trey Lyles made three straight 3-pointers off the bench to push San Antonio’s lead to 51-29 midway into the second quarter. — Reuters


discovery-communications
Businessmodel of Discovery Communications
Customer Segments
Discovery Communications serves a range of customers, principally distributing content for consumption by the general consumer market. The Company directly serves a range of content distributors and network providers, to which it sells the rights to broadcast its network content. These customers include:
- Cable service operators, such as Comcast and Time Warner Cable;
- DTH satellite service providers, such as DirecTV;
- Telecommunications companies, such as Verizon and AT&T; and
- On-demand and streaming platforms, such as Netflix and Hulu. Discovery Communications also serves advertising agencies, brand marketers and commercial entities to which it provides advertising solutions.
Discovery Communications distributes customised content to customers in the US, and across more than 220 other countries and territories in over 40 languages. The US remains the Company’s largest market.
Value Propositions
Discovery Communications provides value to its customers in the following ways:
- Its production of high-quality original content, with the Company developing its own programming and intellectual properties;
- The breadth of its content, with the Company providing a range of content to suit different audiences, including kids programming, nature documentaries, sports broadcasts, entertainment shows, and history documentaries;
- Its international reach, with the Company providing content to customers across more than 220 countries in various languages, including across the Americas, Asia Pacific, and Europe; and
- Its large audience for advertisers and brand marketers, with the Company attracting more than 3 billion cumulative viewers worldwide to which advertisers are able to promote their products. ### Channels
Discovery Communications operates a corporate website at www.corporate.discovery.com, through which its provides information on its networks, programming and distribution network. The Company also operates an online streaming service named Discovery Go, which can be accessed via the Company’s consumer website at www.discovery.com.
Discovery Communications operates more than 35 television network channels, including its flagship Discovery Channel, as well as TLC, Animal Planet, Eurosport, Discovery Kids, DMAX, Velocity, and Discovery Life. These channels are available to consumers through a range of domestic and international service providers.
Discovery Channels also operates its own in-house sales teams that deal with the Company’s commercial customers, including distributors and advertisers. The Company has a network of offices across the US, as well as 68 locations outside of the US, including in the UK, France, Denmark, Italy, Singapore and Poland.
Customer Relationships
Discovery Communications provides programming to consumers on a self-service basis through its online streaming services, which enables customers to register their account and view content without interacting with members of the Discovery Communications sales teams. Customers can also purchase merchandise on a self-service basis through the Company’s online store.
Commercial customers must consult directly with the Company’s in-house sales teams, agreeing multi-year distribution and advertising deals. The Company has long-standing relationships with a range of leading content distributors. The Discovery Communications consumer website provides a range of information for customer on programming schedules and company developments.
Customers can contact the Company over the phone and online, and can interact directly with Company through its social media accounts with Facebook, Twitter, Instagram, YouTube, and LinkedIn.
Key Activities
Discovery Communications is a global media company. It provides programming content across multiple distribution platforms, including pay-television, free-to-air and broadcast television, websites, on-demand and streaming services, and content licensing agreements.
It operates through two business segments covering the Company’s domestic US operations and its international operations. Discovery Communications distributes content across more than 220 countries worldwide, including its home market of the US, as well as across Asia Pacific, Europe and Latin America. The Company’s television brands, include Discovery Channel, TLC, Animal Planet, Investigation Discovery, Science and Velocity.
Key Partners
Discovery Communications collaborates with various companies as part of its operational activities. This includes:
- Licensing and Distribution Partners, including distributors and service providers that assist in distributing the Company’s content across multiple jurisdictions worldwide;
- Production Partners, that assist the Company in producing content; and
- Strategic and Alliance Partners, with which the Company collaborates on joint projects and shares resources. Discovery Communications has a partnership with LG Electronics to showcase the company’s line of OLED television sets, a tie-up with VolunteerMatch to drive awareness for volunteer projects, and an agreement with TubeMogul to automate private inventory management on Discovery GO.
Key Resources
Discovery Communications’s key resources are its intellectual properties, its production assets, its proprietary networks and distribution channels, its partnerships, and its personnel.
The Company’s intellectual property assets include copyrights in television content, trademarks in brands, names and logos, websites, and licenses of intellectual property rights from third parties.
Cost Structure
Discovery Communications incurs costs in relation to the production of its original content, the management of its distribution channels, the operation of its programming networks, the management of its partnerships, and the retention of its personnel.
The Company accrues substantial general and administrative costs – including the payment of salaries and benefits to its workforce of more than 7,000 employees, and the payment of rental and utility fees across its network of offices – amounting in 2015 to $1.67 billion.
Revenue Streams
Discovery Communications generates revenue through the production and distribution of original programming content. Its revenue streams include:
- Revenue derived from fees charged to distributors for first-run content;
- Revenue derived from licensing fees charged to digital distributors; and
- Revenue derived from the sale of advertising solutions to brand market and commercial entities. In 2015 Discovery Communications generated annual revenue of $6.39 billion, up slightly on the $6.56 billion recorded in 2014. The Company’s revenue was split evenly between its two operating segments, with both US Networks and International Networks generating around $3.1 billion each. Revenue was similarly split evenly between distribution and advertising, with both recording revenue for the year of around $3 billion.


{{
If your GAR is incomplete you can save it as a draft. If all details have been entered correctly and they are to the best of your knowledge you may choose to submit this GAR.
By choosing to submit, you are confirming that you are either the Captain, the responsible person, or person acting on their behalf. You are confirming that all details entered are correct and to the best of your knowledge. Once your GAR is submitted you will be given a unique reference number which will confirm your submission.


The SWEET Squad, Supporting WPI in Effective and Equitable Teams Squad, is here to help you as you transition to remote and online learning in teams. If you have questions, concerns, and conflicts with/about teams and teamwork we are here for you this D-term Tuesday and Thursday each week at 1pm and 4pm at https://wpi.zoom.us/j/649494241. We are here to help with challenges you might face such as how to use Zoom for effective team meetings, communication issues, interpersonal dynamics, and more! Pop in to chat if you’d like to talk about how your teamwork is going and any difficulties you are having.


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GST/HST Memoranda Series - Agence du revenu du Canada
<IP_ADDRESS> Rebate Forms Part of the Value of Consideration . Rebates as well as GST Memorandum 500-4-5-1, GST New Housing Rebates Transferred to. Builders. . buy a share of the capital stock of a cooperative housing corporation for the .
http://www.cra-arc.gc.ca/E/pub/gm/19-3/19-3-e.pdf
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Revenu Québec - GST-QST New Housing Rebate Application ...
Jan 16, 2013 . You may use this form if you are an individual and you purchased from a . GST- QST New Housing Rebate Application: Owner of a Home on . share of the capital stock of a cooperative housing corporation (housing co-op).
http://www.revenuquebec.ca/en/sepf/formulaires/fp/fp-2190_l.aspx
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19-3-3 - Rebate for Cooperative Housing
. a share of the capital stock in a cooperative housing corporation may qualify for a goods and services tax/harmonized sales tax (GST/HST) housing rebate under section 255 of the Excise Tax Act (the Act). . Forms and publications .
http://www.cra-arc.gc.ca/E/pub/gm/19-3-3/README.html
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Request for Proposal Summit Action Fund Intake 3 Saskatchewan ...
Sep 29, 2012 . Various forms of innovation are important to the housing . Increasing the use of housing cooperatives to include models that have not been .
http://www.socialservices.gov.sk.ca/saf-rfp.pdf
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Tax Guidelines for Paying Canadians Individuals and Companies
follow specific guidelines regarding tax and GST. Non compliance of these . Contractor Evaluation Form for each individual, or non incorporated company to .
http://www.uleth.ca/fsr/Documents/Tax_Guide_for_Paying_Canadians.pdf
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South Korea: Country VAT/GST Essentials Contents - KPMG
2012 KPMG International Cooperative (KPMG International), a Swiss entity. Member . have a tangible form. For VAT . leases of residential housing and land associated with . businesses, the importer will be able to file a refund claim for .
http://www.kpmg.com/Global/en/services/Tax/GlobalIndirectTax/Documents/vat-gst-essentials-2012/south-korea-2011-vat-gst-essentials.pdf
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Using a property manager - Consumer Affairs Victoria
5 days ago . All fees and expenses are negotiable (except any fixed by statute) and must be recorded on the authority (contract), including any GST .
http://www.consumer.vic.gov.au/housing-and-accommodation/renting/using-a-property-manager
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Apply for a corporate real estate agent (affordable housing) licence ...
Sep 28, 2012 . Note: If you apply for a corporate real estate licence (affordable housing), you must also have an individual real estate licence (affordable .
http://www.fairtrading.qld.gov.au/corporate-real-estate-agent-affordable-housing-licence.htm
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GST/HST Memoranda Series - Agence du revenu du Canada
An individual may qualify for a GST/HST new housing rebate if the individual . (h ) the rebate application is filed in the required form and within the required time. That is: ss 254(3) . Tables 1 and 2, below, do not relate to cooperative housing .
http://www.cra-arc.gc.ca/E/pub/gm/19-3-1/19-3-1r2-e.pdf
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Housing & Property - Government of Alberta - Programs and Services
Land Titles Commonly Used Forms · Landlord and Tenant Information . Federal Service - GST/HST New Housing Rebate Federal Government web page . Home Builders' Association - Alberta · Cooperative Housing Federation of Canada .
http://www.programs.alberta.ca/Living/Dynamic.aspx?N=770+599+12015
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GST Impact
Feb 15, 2013 . A major concern about the implementation of the GST is the resulting price . The savings from the ITC should be passed on to the consumers in the form of lower prices. . Housing, water, electricity, gas and fuels, 0.12 . Unit of the Ministry of Domestic Trade, Cooperative and Consumerism on defaulters.
http://gst.customs.gov.my/en/cp/Pages/cp_imp.aspx
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Government Subsidies to Homeowners versus Renters in Ontario ...
Aug 30, 2010 . governments, non-profit groups or by cooperatives. Social housing is . expenditures on housing in the form of tax provisions, are much less obvious and . A rebate under the federal Goods and Services Tax (GST) for new .
http://www.cfaa-fcapi.org/pd2/Submission.Supplementary_Eng.pdf
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Taxation and Investment in Singapore 2012 - Deloitte
services, education and tourism also form a large part of Singapore's bustling economy. Singapore . (GST), stamp duties and property tax. There is . Singapore grants a unilateral credit for foreign tax paid on income derived by a Singapore tax resident . Immovable property includes Housing Development Board flats, .
http://www.deloitte.com/assets/Dcom-Global/Local%20Assets/Documents/Tax/Taxation%20and%20Investment%20Guides/2012/dttl_tax_guide_2012_Singapore.pdf
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r2h-housing-policy-brief-may-2012 - Right to Housing
to homeowners in the form of the capital gains exemption for primary residences, . Other homeowner subsidies include the recent Home Renovation Tax Credit, GST . 8 Implementing a Low Income Housing Tax Credit (LIHTC) similar to the US . owned by churches, legions and other organizations, and cooperative .
http://righttohousing.ca/wp-content/uploads/2012/05/r2h-housing-policy-brief-may-2012.pdf
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Toward a National Housing Strategy for Canada: FCM Working Paper
Municipal governments must seek to achieve this cooperative solution, while . And while local initiatives must form the basis of a national housing strategy, . these problems including both the PST and GST rebates on new rental housing , .
http://action.web.ca/home/housing/resources.shtml?x=67139
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south australian housing trust funding agreement - sa.gov.au
housing for people, especially for those in financial or other forms of need. ( Housing . financial or other forms of need (Housing Cooperative). B. . under Division 35 of the GST Act (whether or not the refund is more or less than the Input Tax .
http://www.sa.gov.au/upload/franchise/Housing,%20property%20and%20land/Housing%20SA/CH/Funding_agreement_community_housing.pdf
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Co-operatives Level the Playing Field
distributions by way of rebate or bonus based on business done by the member with . Treasurer Peter Costello released a briefing paper on the GST and Tax . water, health, housing, child care, radio, investment, cost sharing (or minimisation ), . Cooperatives (based on mutuality) are a modern form of business, and can .
http://www.rbt.treasury.gov.au/submissions/subshtml/Sub056.htm
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BC Transition
British Columbia HST Notice #12, Enhanced New Housing Rebates and Transitional . Guide RC4034, GST/HST Public Service Bodies' Rebate - Includes Forms . with leased land, or qualifying shares in a cooperative housing corporation.
http://www.ryanco.ca/BC-Transition.aspx
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Economic policy of the Hugo Chávez government - Wikipedia, the ...
1.1 Petroleum and natural resources; 1.2 Cooperatives and economic . start-up credit, technical training, and by giving preferential treatment to cooperatives in . In these Communal councils, citizens form assemblies to determine what will be . The shortage of housing is estimated at 1.5 million, with the administration .
http://en.wikipedia.org/wiki/Economic_policy_of_the_Hugo_Ch%C3%A1vez_government
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First Time Home Buyers Relief
(FTHB) tax credit is a government backed incentive to assist first time home buyers with the . a share of the capital stock in a newly constructed cooperative housing project . Click here for the GST/HST New Housing Rebate Application Form.
http://www.waltersmortgage.ca/first-time-home-buyers-relief/


---
layout: base
title: Computer Anonymous - Denver
---
Computer Anonymous — Denver
Read the overview if you haven't already.
//
The Meetings
- December 2013
- When: Friday, December 20, 6:00pm
- Where: TRVE Brewing Co., 227 Broadway, Denver. Map.
- How to get there: Street parking is available; bike parking is relatively easy to find; the 0 Broadway and 52 South Bannock buses stop at both 1st and 3rd
- How to find us: Look for the placard that says "computer?"
- How to sign up: Add your name below via a pull request; ask to be added to this github issue; e-mail @jackflaps
- November 2013: 11/27, 7:00-9:00pm, Rooster and Moon Coffee Pub, 955 Bannock St., Denver. Map.
Please place your name below if you are planning to attend.
//
The People
Contact any of the following if you would like to attend, to help organize, or have any feedback!


I spent this past weekend in the small town of Chagrin Falls in Northeast Ohio celebrating Memorial Day weekend. Everyone in the town knew everyone and would walk in and out of each others house at will...it was crazy!  But I digress...
I must have met over 30 people over the course of 48 hours. One person in particular that I met was named Rick...Rick was a typical guy born and raised in Chagrin Falls and had a beautiful house overlooking a a crystal blue lake. Rick and I shared some words over the course of the weekend until finally he asked me: "So Ian what kind of hobbies do you have?" It took me by surprise for a moment because I was expecting a question about mobile app development or about how Designli.co got started.
I thought for a moment and told Rick about how I love to play the acoustic guitar and golf....and about how I have recently taken up photography and about my continual learnings in graphic design and web development. During my trip home after the weekend had ended I had some time to reflect on my experience and all of the interesting people I had met. For some reason Rick's question was stuck in my head but I didn't know why. Until it hit me...
Every single "hobby" I currently have I taught myself through Google. Literally! Each one of my hobbies was born as a simple Google search.
There is no doubting the power of Google. I do not need to spend time selling you on that. But what I do want to explore are the benefits you can experience in your own life by choosing to Google on a regular basis. Every single day we have questions that pop into our heads... I wonder how a car engine works? I wonder how to create a simple web page? I wonder how the apps on my iPhone are created?
Look, I get it. Your life is busy. You have more important and time sensitive things on your mind and don't have time to research questions that pop into your heads every waking moment. If this is you I suggest you read on. One of my long time mentors once told me "...if you want to be successful, know a little about a lot...not vice versa". Below I have listed 5 benefits of becoming a daily Google'r that will create immediate results in your life.
1) Save Money
Here's a fact...if you spent 30 minutes a day Googling how to build a brand new porch deck, you inevitably would know exactly how to build a porch deck. And when you know how to make a porch deck yourself...guess what you don't have to do? Pay someone else to do it. If you spend time teaching yourself how to DIY you are investing in yourself and saving money at the same time. So next time you are laying on the couch with your iPad on your lap after a long day at work...pull up your browser and start reading.
2) Meaningful Small Talk
How many times have you sat around the dinner table and had no idea what anyone was talking about?  I bet it has happened to you more than once. Everyone has their own niche of hobbies, activities, pastimes or projects at work that interests them. By Googling throughout the day and finding answers to your questions not only are you increasing your knowledge but you are increasing the chances you will find something you and a stranger have in common next time you engage in small talk.
3) Networking
Speaking of small talk...what a great networking opportunity small talk is! One of my long time mentors once suggested that I keep an agenda in the back of my mind every time I meet with someone new (with the exception of family members). By being knowledgeable and well-learned about a variety of subjects you are increasing the chances you will be able to hold a conversation with a stranger about a topic that interests you both. Next thing you know it, the man you were talking to takes a liking to you...he mentions that he is a lawyer...and now you have access to legal counsel free of charge!
 Do not be that person.
5) Staying Sharp
Above all else..Googling regularly enables you to stay sharp in between the ears. Our brains have a fixed lifetime before they start deteriorating and not working properly.  Don't end up like this guy.
So next time you are driving to work and a question pops into your head...don't it pass through your head. Park your car, make a memo note on your phone and Google it over your lunch break and expand your knowledge base. It will pay dividends in the future.
Invest in yourself on a daily basis by Google-ing and you WILL see returns.


2nd Annual Ice Climbing Festival
Climbers, novice to pro, are invited to join for big fun in the big frozen waterfalls in the shadows of the Annapurnas from February 1 – 10, 2020.
At 3 200m Humde, Manang sets the annual scene for the Ice Climbing Festival co-hosted by the Nepal Climbing Team and the Nepal Mountaineering Association with the support of Visit Nepal 2020 Secretariat.
Throughout the festival IFMGA instructors will lead interactive and educational climbing clinics to accommodate every.
skill level and ensure safety is a priority. While Humde is developing as a winter sports mecca between climbs there will be opportunities for skiing, participate in archery, local dance and cultural activities.
To stay up to date with all the details, check out our Nepal Climbing Team website , visit Nepal Climbing Team on Facebook and follow us on Instagram


{% extends "qview/base.html" %} {% block content %}
This is "the queue" - a list of pending bugs filed in the BTS that are requesting sponsorship from the debian-mentors team. The queue is read-only, please use this with the BTS for the review process.
| Request Subject | Severity | Requestor | Owner (reviewer) |
|---|---|---|---|
| {{ ticket.subject }} | {{ ticket.severity }} | {{ ticket.reporter }} | {{ ticket.owner }} |


MathCell is free and open source, and the code is available on GitHub. You can download the complete library to your web server and include it in the body of a page with a script
tag:
<script src="mathcell.js"></script>
If you do not want to download the source file, you can link to the most current version from this website,
<script src="https://paulmasson.github.io/mathcell/build/mathcell.js"></script>
or a past stable version from an online content delivery network:
<script src="https://cdn.rawgit.com/paulmasson/mathcell/1.3.0/build/mathcell.js"></script>
The number in the link should be adjusted for the desired version.


LADY-PEASANT A film review by Felix Kreisel Copyright 1996 Iskra Research
Montreal 1996 The recently concluded Montreal World Film Festival is one of the better known venues of the cinema world. It attempts to promote a wide range of filmmakers from many countries by requiring as little as possible in promotion expenditures. This year the Festival organizers paid special attention to current Russian films and even gave a special prize in the category of the Russian Cinema of Today. This writer was able to view a number of the more significant films presented at the Festival. Preceding my impressions I have included the official descriptions provided by the Festival organizers.
* * * * * * * * * *
Baryshnia-Krestianka (Lady-Peasant)
* * * * * * * Official information * * * * * * *
Director: Alexei Sakharov. Script: A. Zhitinsky, Alexei Zakharov. Based on the short story by A. S. Pushkin. Photography: N. Nemoliaiev. Editor: L. Shmigliakova. Music: Vladimir Komarov. Sound: I. Urvantsev. Cast: E. Korikova, E. Rednikova, D. Scherbina, L. Kuravliov, V. Lanovoi. Producer and Sales: L. Poliarskaia, Ritm Film Studio of Mosfilm Association.
Liza had her eye on her handsome young neighbor Alexei, for some time and he has had his eye on her. But their fathers, feuding landowners, clearly aren't about to let the two young people get together. Liza has an idea. With the help of a maidservant, Nastia, she dresses up as a young peasant girl and wanders into the forest ostensibly to gather mushrooms. As she planned, Alexei spots her and the peasant disguise doesn't fool him a bit.
* * * * * ) Iskra Research; by F. Kreisel * * * * *
This movie celebrates pastoral Russia of a century and a half ago. It presents an unchanging society, frozen into a traditional patriarchal culture (or lack thereof), with both the landlords and the peasants, both men and women unquestioningly following their paths through life. The story is not original, it is a watered down, conformist version of Romeo and Juliette. Two neighboring landlords conduct a feud which their offspring must follow. The young man is fresh from a Dutch university, but the education was wasted on him since he just wants to join the Hussars. The young girl is dreaming of romance with a tall, dark man with a large mustache, but knows that her father will decide on a husband. The foreign words employed by the gentry, their Western dress, tastes in poetry and music are just a thin veneer, barely concealing the basic idiocy of country life. Here is one example of the Pushkin satirizes the basic uselessness of the landed gentry when he quotes one of them lauding the other for discovering how to mortgage their estates on the London market. The movie director reenacts this scene in the movie but then celebrates this idiocy by extolling the fathers' taste for homemade vodkas and liqueurs. This is a low budget escapist film, and the viewer is advised to read Pushkin instead. -- Iskra Research -- Historical research and publication of Marxist classics in the Russian language. Address: PO Box 397142, Cambridge, MA 02139-7142; e-mail<EMAIL_ADDRESS>http://www.mit.edu:8001/people/fjk/iskra.html
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.
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to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


In this blog post, I want to practice some EDA and Visualizations in R. I’ve taken a dataset from Kaggle on Superheroes. It consists of two parts, one containing demographic type of information and another with a list of super powers of the superheroes. Diving right into the data.
library(tidyverse)
library(janitor)
library(scales)
library(knitr)
library(kableExtra)
library(patchwork)
library(skimr)
theme_set(theme_bw())
# clean_names() funtion will make sure that the column names in the dataset will
# have underscore , alphabets and numbers. All column names will be converted to
# lower case by default
heroes_information_df <- read.csv('../../datasets/heroes_information.csv') %>%
janitor::clean_names()
super_hero_powers_df <- read.csv('../../datasets/super_hero_powers.csv') %>%
janitor::clean_names()
There are 19 rows with duplicate value of names of superheroes. This needs to be investigated.
heroes_information_df %>%
summarise(num_distinct_superheroes = n_distinct(name),
num_superheroes = n())
## num_distinct_superheroes num_superheroes
## 1 715 734
tabyl() function is useful to find out the count of factor levels in a column. Here is a look at those superheroes which occur more than once.
dup_names <- heroes_information_df %>%
janitor::tabyl(name) %>%
filter(n>1)
#Contains names of superheroes which are repeated
dup_names
## name n percent
## 1 Angel 2 0.002724796
## 2 Atlas 2 0.002724796
## 3 Atom 2 0.002724796
## 4 Batgirl 2 0.002724796
## 5 Batman 2 0.002724796
## 6 Black Canary 2 0.002724796
## 7 Blizzard 2 0.002724796
## 8 Blue Beetle 2 0.002724796
## 9 Captain Marvel 2 0.002724796
## 10 Firestorm 2 0.002724796
## 11 Goliath 3 0.004087193
## 12 Namor 2 0.002724796
## 13 Nova 2 0.002724796
## 14 Speedy 2 0.002724796
## 15 Spider-Man 3 0.004087193
## 16 Toxin 2 0.002724796
## 17 Vindicator 2 0.002724796
#Another way to do the same thing
# dup_names <- heroes_information_df %>%
# group_by(name) %>%
# summarise(n = n()) %>%
# filter(n > 1)
Here’s the dataframe containing the duplicate superheroes
heroes_information_df %>%
filter(name %in% dup_names$name) %>%
kable() %>%
kable_styling(full_width = FALSE)
| x | name | gender | eye_color | race | hair_color | height | publisher | skin_color | alignment | weight |
|---|---|---|---|---|---|---|---|---|---|---|
| 22 | Angel | Male | blue |
|
Blond | 183 | Marvel Comics |
|
good | 68 |
| 23 | Angel | Male |
|
Vampire |
|
-99 | Dark Horse Comics |
|
good | -99 |
| 47 | Atlas | Male | brown | Mutant | Red | 183 | Marvel Comics |
|
good | 101 |
| 48 | Atlas | Male | blue | God / Eternal | Brown | 198 | DC Comics |
|
bad | 126 |
| 49 | Atom | Male | blue |
|
Red | 178 | DC Comics |
|
good | 68 |
| 50 | Atom | Male |
|
|
|
-99 | DC Comics |
|
good | -99 |
| 62 | Batgirl | Female |
|
|
|
-99 | DC Comics |
|
good | -99 |
| 63 | Batgirl | Female | green | Human | Red | 170 | DC Comics |
|
good | 57 |
| 68 | Batman | Male | blue | Human | black | 188 | DC Comics |
|
good | 95 |
| 69 | Batman | Male | blue | Human | Black | 178 | DC Comics |
|
good | 77 |
| 96 | Black Canary | Female | blue | Human | Blond | 165 | DC Comics |
|
good | 58 |
| 97 | Black Canary | Female | blue | Metahuman | Blond | 170 | DC Comics |
|
good | 59 |
| 115 | Blizzard | Male |
|
|
|
-99 | Marvel Comics |
|
bad | -99 |
| 116 | Blizzard | Male |
|
|
Brown | -99 | Marvel Comics |
|
bad | -99 |
| 122 | Blue Beetle | Male | blue |
|
Brown | -99 | DC Comics |
|
good | -99 |
| 123 | Blue Beetle | Male |
|
|
|
-99 | DC Comics |
|
good | -99 |
| 155 | Captain Marvel | Female | blue | Human-Kree | Blond | 180 | Marvel Comics |
|
good | 74 |
| 156 | Captain Marvel | Male | blue | Human | Black | 193 | DC Comics |
|
good | 101 |
| 259 | Firestorm | Male | brown |
|
Black | -99 | DC Comics |
|
good | -99 |
| 260 | Firestorm | Male | blue | Human | Auburn | 188 | DC Comics |
|
good | 91 |
| 289 | Goliath | Male |
|
|
|
-99 | Marvel Comics |
|
good | -99 |
| 290 | Goliath | Male |
|
Human |
|
-99 | Marvel Comics |
|
good | -99 |
| 291 | Goliath | Male |
|
Human |
|
-99 | Marvel Comics |
|
good | -99 |
| 481 | Namor | Male |
|
|
|
-99 | Marvel Comics |
|
good | -99 |
| 482 | Namor | Male | grey | Atlantean | Black | 188 | Marvel Comics |
|
good | 125 |
| 496 | Nova | Male | brown | Human | Brown | 185 | Marvel Comics |
|
good | 86 |
| 497 | Nova | Female | white | Human / Cosmic | Red | 163 | Marvel Comics | gold | good | 59 |
| 617 | Speedy | Male |
|
Human |
|
-99 | DC Comics |
|
good | -99 |
| 618 | Speedy | Female | green | Human | Brown | -99 | DC Comics |
|
good | -99 |
| 622 | Spider-Man | Male | hazel | Human | Brown | 178 | Marvel Comics |
|
good | 74 |
| 623 | Spider-Man |
|
red | Human | Brown | 178 | Marvel Comics |
|
good | 77 |
| 624 | Spider-Man | Male | brown | Human | Black | 157 | Marvel Comics |
|
good | 56 |
| 673 | Toxin | Male | blue | Symbiote | Brown | 188 | Marvel Comics |
|
good | 97 |
| 674 | Toxin | Male | black | Symbiote | Blond | 191 | Marvel Comics |
|
good | 117 |
| 695 | Vindicator | Female | green | Human | Red | 165 | Marvel Comics |
|
good | 54 |
| 696 | Vindicator | Male |
|
|
|
-99 | Marvel Comics |
|
good | -99 |
From this table, there are primarily two different reasons for the duplicates:
1. Between two rows, some columns are missing for the same superhero (maybe double entry where one of it is incomplete). Example: x = 49 and 50, 62 and 63. For such groups it’s better to remove the one with incomplete data
2. Incorrect data in one row compared to the other
Removing duplicates because of (1) was easy. To remove duplicates caused by (2) a lot of manual work was involved. On Googling about the superheroes, I removed those which had incorrect information.
#Manual cleaning by removing rows
dup_rows <- c(23, 48, 50, 62, 69, 96, 115, 123, 155, 259, 289, 290, 481, 496, 617, 623, 624, 674, 696)
#Deduped dataframe with the superheroes information
heroes_information_deduped_df <- heroes_information_df %>%
filter(!(x %in% dup_rows))
#Taking a look at the dataframe again
heroes_information_deduped_df %>%
filter(name %in% dup_names$name) %>%
kable() %>%
kable_styling(full_width = FALSE)
| x | name | gender | eye_color | race | hair_color | height | publisher | skin_color | alignment | weight |
|---|---|---|---|---|---|---|---|---|---|---|
| 22 | Angel | Male | blue |
|
Blond | 183 | Marvel Comics |
|
good | 68 |
| 47 | Atlas | Male | brown | Mutant | Red | 183 | Marvel Comics |
|
good | 101 |
| 49 | Atom | Male | blue |
|
Red | 178 | DC Comics |
|
good | 68 |
| 63 | Batgirl | Female | green | Human | Red | 170 | DC Comics |
|
good | 57 |
| 68 | Batman | Male | blue | Human | black | 188 | DC Comics |
|
good | 95 |
| 97 | Black Canary | Female | blue | Metahuman | Blond | 170 | DC Comics |
|
good | 59 |
| 116 | Blizzard | Male |
|
|
Brown | -99 | Marvel Comics |
|
bad | -99 |
| 122 | Blue Beetle | Male | blue |
|
Brown | -99 | DC Comics |
|
good | -99 |
| 156 | Captain Marvel | Male | blue | Human | Black | 193 | DC Comics |
|
good | 101 |
| 260 | Firestorm | Male | blue | Human | Auburn | 188 | DC Comics |
|
good | 91 |
| 291 | Goliath | Male |
|
Human |
|
-99 | Marvel Comics |
|
good | -99 |
| 482 | Namor | Male | grey | Atlantean | Black | 188 | Marvel Comics |
|
good | 125 |
| 497 | Nova | Female | white | Human / Cosmic | Red | 163 | Marvel Comics | gold | good | 59 |
| 618 | Speedy | Female | green | Human | Brown | -99 | DC Comics |
|
good | -99 |
| 622 | Spider-Man | Male | hazel | Human | Brown | 178 | Marvel Comics |
|
good | 74 |
| 673 | Toxin | Male | blue | Symbiote | Brown | 188 | Marvel Comics |
|
good | 97 |
| 695 | Vindicator | Female | green | Human | Red | 165 | Marvel Comics |
|
good | 54 |
heroes_information_deduped_df %>%
summarise(num_distinct_publishers = n_distinct(publisher))
## num_distinct_publishers
## 1 25
There are 25 distinct publishers.
heroes_information_deduped_df %>%
group_by(publisher) %>%
summarise(n = n()) %>%
mutate(total = sum(n),
pct = n/total,
publisher = fct_reorder(publisher, pct)) %>%
ggplot(aes(x=publisher, y = pct)) +
geom_col() +
scale_y_continuous(labels = percent, breaks = seq(0, .60, .05)) +
coord_flip() +
ggtitle('Distribution of superheroes created among all Publishers')
DC Comics and Marvel Comics are the biggest publishers creating about 29% and 53% of the superheroes respectively
Using fct_lump() function to lump together all publishers other than Marvel and DC into ‘Other’ since the rest of the publishers form a small part out of the entire population.
heroes_information_deduped_df %>%
mutate(publisher = fct_lump(publisher, n = 2)) %>%
group_by(publisher) %>%
summarise(n = n()) %>%
mutate(total = sum(n),
pct = n/total,
publisher = fct_reorder(publisher, pct)) %>%
ggplot(aes(x=publisher, y = pct)) +
geom_col() +
scale_y_continuous(labels = percent, breaks = seq(0, .60, .05)) +
ggtitle('Distribution of superheroes created among all Publishers - after fct_lump()')
DC and Marvel have a similar distribution among good and bad superheroes. Approximately 65% of their superheroes are good and about 30% of them are bad. The rest of the publishers (‘Other’) seem to produce a slightly higher percentage of good heroes, about 72%.
heroes_information_deduped_df %>%
mutate(publisher = fct_lump(publisher, n = 2)) %>%
group_by(publisher, alignment) %>%
summarize(n = n()) %>%
mutate(percentage = n / sum(n)) %>%
ggplot(aes(x=alignment, y = percentage, fill = publisher))+
geom_col(position = "dodge2") +
scale_y_continuous(labels = percent, breaks = seq(0, .80, .10)) +
ggtitle('Distribution of Good and Bad superheroes within Publishers')
These plots show the frequency distribution among some features of Superheroes [Hair Color, Eye Color] by specific groups [Alignment, Producers, Gender]
I’ve used the patchwork package to show the plots. I wanted to order the percentages by the descending order but was unable to do it the way I wanted to when I used facet_wrap in ggplot(). This link from Stackoverflow has some workarounds but the end result was some unordered plots because not all features are present among all the groups. Thanks to patchwork for helping me create these plots.
hair_good <- heroes_information_deduped_df %>%
filter(alignment %in% c('good')) %>%
mutate(hair_color = tolower(hair_color),
hair_color = ifelse(hair_color == 'brownn', 'brown', hair_color)) %>%
group_by(hair_color) %>%
summarise(n = n()) %>%
mutate(total = sum(n),
pct = n/total,
hair_color = fct_reorder(hair_color, pct)) %>%
ggplot(aes(hair_color, pct)) +
geom_col() +
scale_y_continuous(labels = percent)+
coord_flip()+
ggtitle('Good Heroes - Hair Color')
hair_bad <- heroes_information_deduped_df %>%
filter(alignment %in% c('bad')) %>%
mutate(hair_color = tolower(hair_color),
hair_color = ifelse(hair_color == 'brownn', 'brown', hair_color)) %>%
group_by(hair_color) %>%
summarise(n = n()) %>%
mutate(total = sum(n),
pct = n/total,
hair_color = fct_reorder(hair_color, pct)) %>%
ggplot(aes(hair_color, pct)) +
geom_col() +
scale_y_continuous(labels = percent)+
theme(axis.title.y=element_blank()) +
coord_flip()+
ggtitle('Bad Heroes - Hair Color')
#Using the patchwork package to join two plots together
hair_good + hair_bad
Among the good superheroes, data is missing for 25% of them. 25% of them have black hair and 17.5% of them have blond hair. The good heroes have a wider spectrum of colors for their hair compared to the bad heroes.
For the bad superheroes, data is missing for 25% of them. Black is the most common hair color followed by ‘No Hair’.
hair_dc <- heroes_information_deduped_df %>%
filter(publisher %in% c('DC Comics')) %>%
mutate(hair_color = tolower(hair_color),
hair_color = ifelse(hair_color == 'brownn', 'brown', hair_color)) %>%
group_by(hair_color) %>%
summarise(n = n()) %>%
mutate(pct = round(n*100/sum(n),1),
hair_color = fct_reorder(hair_color, pct)) %>%
ggplot(aes(x=hair_color, y = pct)) +
geom_col() +
coord_flip()+
ggtitle('DC Comics - Hair Color')
hair_marvel <- heroes_information_deduped_df %>%
filter(publisher %in% c('Marvel Comics')) %>%
mutate(hair_color = tolower(hair_color),
hair_color = ifelse(hair_color == 'brownn', 'brown', hair_color)) %>%
group_by(hair_color) %>%
summarise(n = n()) %>%
mutate(pct = round(n*100/sum(n),1),
hair_color = fct_reorder(hair_color, pct)) %>%
ggplot(aes(x=hair_color, y = pct)) +
geom_col() +
theme(axis.title.y=element_blank()) +
coord_flip()+
ggtitle('Marvel Comics - Hair Color')
hair_dc + hair_marvel
Black, Red and Brown are the most common hair colors among superheroes from DC Comics while Black, Blond and Brown are most common hair colors from Marvel Comics.
Super heroes from Marvel Comics have a more colors for their hair than those from DC Comics.
eye_good <- heroes_information_deduped_df %>%
filter(alignment %in% c('good')) %>%
mutate(eye_color = tolower(eye_color)
) %>%
group_by(eye_color) %>%
summarise(n = n()) %>%
mutate(pct = round(n*100/sum(n),1),
eye_color = fct_reorder(eye_color, pct)) %>%
ggplot(aes(x=eye_color, y = pct)) +
geom_col() +
coord_flip()+
ggtitle('Good Heroes - Eye Color')
eye_bad <- heroes_information_deduped_df %>%
filter(alignment %in% c('bad')) %>%
mutate(eye_color = tolower(eye_color)
) %>%
group_by(eye_color) %>%
summarise(n = n()) %>%
mutate(pct = round(n*100/sum(n),1),
eye_color = fct_reorder(eye_color, pct)) %>%
ggplot(aes(x=eye_color, y = pct)) +
geom_col() +
theme(axis.title.y=element_blank()) +
coord_flip()+
ggtitle('Bad Heroes - Eye Color')
eye_good + eye_bad
34% of the good superheroes have blue eyes while 23% of the bad superheroes have blue eyes. 12% of bad superheroes have red eyes but less than 5% of the good superheroes have red eyes. Brown is a common eye color among good and bad superheroes.
eye_dc <- heroes_information_deduped_df %>%
filter(publisher %in% c('DC Comics')) %>%
mutate(eye_color = tolower(eye_color)
) %>%
group_by(eye_color) %>%
summarise(n = n()) %>%
mutate(pct = round(n*100/sum(n),1),
eye_color = fct_reorder(eye_color, pct)) %>%
ggplot(aes(x=eye_color, y = pct)) +
geom_col() +
coord_flip()+
ggtitle('DC Comics - Eye Color')
eye_marvel <- heroes_information_deduped_df %>%
filter(publisher %in% c('Marvel Comics')) %>%
mutate(eye_color = tolower(eye_color)
) %>%
group_by(eye_color) %>%
summarise(n = n()) %>%
mutate(pct = round(n*100/sum(n),1),
eye_color = fct_reorder(eye_color, pct)) %>%
ggplot(aes(x=eye_color, y = pct)) +
geom_col() +
theme(axis.title.y=element_blank()) +
coord_flip()+
ggtitle('Marvel Comics - Eye Color')
eye_dc + eye_marvel
38% of DC Comics and 33% of Marvel Comics superheroes have blue eyes. Brown eyed superheroes are more common among Marvel Comics and Green eyed superheroes are more common among DC Comics.
68.5% of the superheroes are Men and 27.5% of them are Women. 4% don’t have a specified gender
heroes_information_deduped_df %>%
group_by(gender) %>%
summarise(n = n()) %>%
mutate(pct = round(n*100/sum(n), 1))
## # A tibble: 3 x 3
## gender n pct
## <fct> <int> <dbl>
## 1 - 28 3.9
## 2 Female 197 27.6
## 3 Male 490 68.5
eye_male <- heroes_information_deduped_df %>%
filter(gender == 'Male') %>%
mutate(eye_color = tolower(eye_color)
) %>%
group_by(eye_color) %>%
summarise(n = n()) %>%
mutate(pct = round(n*100/sum(n),1),
eye_color = fct_reorder(eye_color, pct)) %>%
ggplot(aes(x=eye_color, y = pct)) +
geom_col() +
coord_flip()+
ggtitle('Male')
eye_female <- heroes_information_deduped_df %>%
filter(gender == 'Female') %>%
mutate(eye_color = tolower(eye_color)
) %>%
group_by(eye_color) %>%
summarise(n = n()) %>%
mutate(pct = round(n*100/sum(n),1),
eye_color = fct_reorder(eye_color, pct)) %>%
ggplot(aes(x=eye_color, y = pct)) +
geom_col() +
theme(axis.title.y=element_blank()) +
coord_flip()+
ggtitle('Female')
eye_null <- heroes_information_deduped_df %>%
filter(gender == '-') %>%
mutate(eye_color = tolower(eye_color)
) %>%
group_by(eye_color) %>%
summarise(n = n()) %>%
mutate(pct = round(n*100/sum(n),1),
eye_color = fct_reorder(eye_color, pct)) %>%
ggplot(aes(x=eye_color, y = pct)) +
geom_col() +
theme(axis.title.y=element_blank()) +
coord_flip()+
ggtitle('No Gender')
p1 <- (eye_male + eye_female + eye_null)
p1 + plot_annotation(title = 'Gender - Eye Color')
Among the men superheroes, blue, brown and red are the most common hair colors. Blue, green and brown are the most common colors among women. Blue forms close to 30% of the men and women’s population. There are a lot more women having green eyes than men.
heroes_information_deduped_df %>%
filter(!gender %in% c('-'),
alignment %in% c('good', 'bad')) %>%
mutate(height = ifelse(height < 0, NA, height),
weight = ifelse(weight < 0, NA, weight)) %>%
ggplot(aes(x=alignment, y=height, fill=gender)) +
geom_boxplot()
## Warning: Removed 186 rows containing non-finite values (stat_boxplot).
There are a 186 superheroes with missing height values. There are a lot of outliers among Men - good and bad, compared to Women. As expected, Men weigh heavier than women.
The function skim() from skimr package is useful to find out the Five Number summary for numeric values and also has the histograms for the frequency distribution.
Bad Men follow a normal distribution. Good Men and Women are skewed right while Bad Women are skewed left.
heroes_information_deduped_df %>%
filter(!gender %in% c('-'),
alignment %in% c('good', 'bad')) %>%
mutate(height = ifelse(height < 0, NA, height),
weight = ifelse(weight < 0, NA, weight)) %>%
group_by(gender, alignment) %>%
skimr::skim(height) %>%
select(-skim_type, -skim_variable, -n_missing, -numeric.sd) %>%
kable() %>%
kable_styling(full_width = FALSE)
| gender | alignment | complete_rate | numeric.mean | numeric.p0 | numeric.p25 | numeric.p50 | numeric.p75 | numeric.p100 | numeric.hist |
|---|---|---|---|---|---|---|---|---|---|
| Female | bad | 0.7142857 | 174.3800 | 62.5 | 170 | 175 | 180.00 | 218 | ▁▁▁▇▂ |
| Female | good | 0.7278481 | 174.8000 | 137.0 | 168 | 170 | 178.00 | 366 | ▇▁▁▁▁ |
| Male | bad | 0.7300613 | 190.1571 | 15.2 | 180 | 188 | 196.00 | 366 | ▁▁▇▁▁ |
| Male | good | 0.7062706 | 189.1696 | 30.5 | 178 | 183 | 190.25 | 975 | ▇▁▁▁▁ |
heroes_information_deduped_df %>%
filter(!gender %in% c('-'),
alignment %in% c('good', 'bad')) %>%
mutate(height = ifelse(height < 0, NA, height),
weight = ifelse(weight < 0, NA, weight)) %>%
ggplot(aes(x=alignment, y=weight, fill=gender)) +
geom_boxplot()
## Warning: Removed 205 rows containing non-finite values (stat_boxplot).
There are 205 superheroes with missing weight. Among all the bad superheroes, men have a wider spread in weight than women.
heroes_information_deduped_df %>%
filter(!gender %in% c('-'),
alignment %in% c('good', 'bad')) %>%
mutate(height = ifelse(height < 0, NA, height),
weight = ifelse(weight < 0, NA, weight)) %>%
group_by(gender, alignment) %>%
skimr::skim(weight) %>%
select(-skim_type, -skim_variable, -n_missing, -numeric.sd) %>%
kable() %>%
kable_styling(full_width = FALSE)
| gender | alignment | complete_rate | numeric.mean | numeric.p0 | numeric.p25 | numeric.p50 | numeric.p75 | numeric.p100 | numeric.hist |
|---|---|---|---|---|---|---|---|---|---|
| Female | bad | 0.7428571 | 114.6154 | 50 | 54.25 | 59 | 98.75 | 630 | ▇▁▁▁▁ |
| Female | good | 0.7088608 | 71.1250 | 41 | 54.00 | 57 | 63.00 | 473 | ▇▁▁▁▁ |
| Male | bad | 0.6932515 | 144.1681 | 2 | 81.00 | 97 | 169.00 | 817 | ▇▂▁▁▁ |
| Male | good | 0.6699670 | 108.5616 | 4 | 77.00 | 86 | 105.00 | 900 | ▇▁▁▁▁ |
All the four groups are skewed right.
super_hero_powers_df %>%
select(1:7) %>%
head() %>%
kable() %>%
kable_styling(full_width = FALSE)
| hero_names | agility | accelerated_healing | lantern_power_ring | dimensional_awareness | cold_resistance | durability |
|---|---|---|---|---|---|---|
| 3-D Man | True | False | False | False | False | False |
| A-Bomb | False | True | False | False | False | True |
| Abe Sapien | True | True | False | False | True | True |
| Abin Sur | False | False | True | False | False | False |
| Abomination | False | True | False | False | False | False |
| Abraxas | False | False | False | True | False | False |
It has a list of all the superhero powers for the heroes. As seen from the sample data, the columns were read in as factors. The below code snippet maps the columns from True and False to 1 and 0.
super_hero_powers_transformed_df <- super_hero_powers_df %>%
mutate_if(is.factor, as.character) %>%
mutate_if(!names(.) %in% c('hero_names'),
list(~as.logical(.))) %>%
mutate_if(is.logical,as.numeric)
super_hero_powers_transformed_df %>%
select(1:7) %>%
head() %>%
kable() %>%
kable_styling(full_width = FALSE)
| hero_names | agility | accelerated_healing | lantern_power_ring | dimensional_awareness | cold_resistance | durability |
|---|---|---|---|---|---|---|
| 3-D Man | 1 | 0 | 0 | 0 | 0 | 0 |
| A-Bomb | 0 | 1 | 0 | 0 | 0 | 1 |
| Abe Sapien | 1 | 1 | 0 | 0 | 1 | 1 |
| Abin Sur | 0 | 0 | 1 | 0 | 0 | 0 |
| Abomination | 0 | 1 | 0 | 0 | 0 | 0 |
| Abraxas | 0 | 0 | 0 | 1 | 0 | 0 |
There are some rows which are present in one dataframe but not in the other. I have decided to do an inner_join between the two dataframes so only the common rows are selected.
nrow(heroes_information_deduped_df)
## [1] 715
nrow(super_hero_powers_transformed_df)
## [1] 667
superhero_df <- heroes_information_deduped_df %>%
inner_join(super_hero_powers_transformed_df, by = c("name" = "hero_names"))
nrow(superhero_df)
## [1] 643
For analyzing this dataset, I have selected only those superheoes who are present in both the datasets (hero_information and superhero_powers)
super_hero_powers_transformed_df %>%
filter(hero_names %in% heroes_information_deduped_df$name) %>%
summarise_if(is.numeric, sum, na.rm=TRUE) %>%
pivot_longer(
cols = colnames(.),
names_to = "power",
values_to = "count") %>%
mutate(pct = count/643) %>%
arrange(desc(count)) %>%
filter(pct > 0.1) %>%
mutate(power = fct_reorder(power, pct)) %>%
ggplot(aes(x=power, y = pct))+
geom_col() +
scale_y_continuous(labels = percent, breaks = seq(0, .60, .05)) +
coord_flip() +
ggtitle('Common Superhero Powers')
As one should expect, the most common superhero power is Super Strength, 55% of the heroes have this power. Stamina, Durability, Super Speed, Agility, Flight are the top powers among the superheroes.
super_hero_powers_transformed_df %>%
filter(hero_names %in% heroes_information_deduped_df$name) %>%
mutate(num_powers = select(., agility:omniscient) %>% rowSums(na.rm=TRUE)) %>%
select(hero_names, num_powers) %>%
arrange(desc(num_powers)) %>%
filter(num_powers > 25) %>%
mutate(hero_names = fct_reorder(hero_names, num_powers)) %>%
ggplot(aes(x=hero_names, y = num_powers)) +
geom_col() +
coord_flip()
Spectre created by DC Comics is the most powerful hero with almost 50 superpowers. Amazo comes a close second with about 44 superpowers. Martian Manhunter, Living Tribunal and Man of Miracles make it to the top 5 group in terms of number of superheroes.
super_hero_powers_transformed_df %>%
inner_join(heroes_information_deduped_df[c('name', 'publisher', 'gender', 'alignment')], by = c("hero_names" = "name")) %>%
mutate(num_powers = select(., agility:omniscient) %>% rowSums(na.rm=TRUE)) %>%
select(hero_names, publisher, gender, alignment, num_powers) %>%
filter(alignment %in% c('good', 'bad')) %>%
mutate(publisher = fct_lump(publisher, n = 2)) %>%
ggplot(aes(x=alignment, num_powers, fill = publisher)) +
geom_boxplot()
Comparing the superpowers among the different publishers between good and bad heroes, we can see that bad heroes created by DC Comics have a higher median than those from Marvel Comics. All those created by publishers who are not DC and Marvel seem to have a wider range of the number of superpowers.
Median value of the number of superpowers is almost the same for good superheroes from DC and Marvel Comics.
I’ve practiced primary the following functions during the Exploratory Analysis of the superheroes datasets:
This will be a good reference in case I want to refer to some of these functions in the future.


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| 1 | General information about your payment instruments can be found here. |
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Great Quote
- {{ random_quotes.quote}}
BLOGS
Contentment Isn't the Answer to Singleness
What these kinds of thoughts are saying is that feeling content about singleness will solve my singleness. Pursuing this kind of remedy for a disappointed heart treats contentment as a magical cure for the "disease" of singleness. Contentment is more like an avenue to get what I want than a beautiful place of peace. The truth is, contentment isn't the answer to singleness. Being content about being single won't solve my problems. It won't erase all of my desires. It certainly won't get me a relationship in the next couple of days.
comment blogSeeking Perfection
Life isn't perfect. We know that we live every day in the imperfection. yet sometimes we still think that somewhere, somehow, life can be perfect. If we only had that job, boyfriend, or trip. If we only felt rested, beautiful, or successful. If only. I hate to break it to you, but there is no perfection in "if onlys."
comment blogHolding Onto Today
Just so, we can't keep holding onto yesterday or revolve every action upon tomorrow. Rather, we are called to live faithfully today, in expectant dependence upon God.This is not to say that we shouldn't reflect and learn from yesterday. I think that reflection is valuable and necessary part of life. But in our reflections, we must not let yesterday dictate today. We can be tempted to identify "seasons" of our lives and make excuses for today because "that's just the season of life we're in right now."
comment blogA Little Something Special
There's something about December that makes everything a little something special. The way the world shines a bit brighter and sounds a bit more cheery. The way friends and family connect over traditions done every year and yet different each time. The way the house wraps itself in holiday colors. The way Christmas coffee cups start off the mornings with a bit of festivity.
comment blog


The Adapter.fix method could be invoked with updater option which is a function that is applied to each element in the current Scroller's Buffer list and allows to update buffered items on the fly. The argument of the updater function is an object of special ItemAdapter type
{{ itemAdapterDescription }}
The data is exactly what the Datasource sends to the Scroller as the items contents. So we have access to the items inside the Scroller's Buffer, and in this demo we update the text of selected item by its index. If we destroy the updated item by scrolling out and then scroll back, we will see that our update is gone. Speaking generally, we need to care about datasource consistency and every update we want to be applied to the Scroller's Buffer should also happen at the datasource level. The examples of Datasource-Adapter synching can be found here, here and here.
The Adapter.fix({ updater }) usage can be very diverse. For example, we may not change anything in the buffer, but gather some statistic. In this demo countItems method uses updater to get a number of items in the buffer at a particular moment. The result is equal to the value of Adapter.itemsCount read-only property (link). Also, I would not recommend to bind countItems-like methods with the template as it is in this demo, for it might affect the performance.
The Adapter.fix-updater method has the second argument update (available since v2.0.0-rc.6) which is a function that can be invoked in case the Buffer.items array reference needs to be updated.


I.
FAITH.
I. IN proposing to consider the origin and growth of fith,
we have a practical, and not a merly theoretical, aim. We
are thinking of the actual prolems which are, at this moment,
encompassing and hindering faith : and it is because of their
urgeeny and their pressure, that we find it worth while to
go back upon our earliest beginning, in order to ask what
Faith itself means. For only through an examination of its
nature, its origin, and its structure, will it be possile for us
to sift the uusstions which beset us, and to ddistinguish those
to which Faith is bound to give an answer from thuse which
it ecan affhrd tc et alone.
We at out then on onur queeest, in the mind of those who
have felt the trouhe that is in the air Even if we uur-
slves be not of their number, ywt we all suffr from their
hesitation: we all fal the imparted chll of their anxieties.
Fur we are of one family : and the sicknes, or depression of
some, must affect the whoe body. All of u, even the most
confdent, are interested in the case of those who are fearing
for themselves as theyr saly asarch their own heart, and
ask, 'What is it to belleve? Deo I know what it is to be-
heee? Have I or have I not, that which can be calle
faith''? How can I te sure? What can I say of mysef?
Such quuesstions as thess are haunting and hanassing mamy.
among us who find themslves facing the Catholic Creed,
with its ring of unhaunted assuranc, with its unhesitating
cfaim to unique and universal aupremay, and contrast with
this their own faint and tentative apprehenaion of the strung
truths, which are ao confidenly asserted. Such men and
l
IIWA Fhos,gos ur rtr fararasuffos
swomeen ar anhioe and cager to numher themsslves an eng
those that beleve: bt can they cll this temper ''bellief
which is ao far belnew the hel of the genuine response which
those Creedis obviouly eaupec? Where is the bllitheness of
faith? Where is its unshaken conviction? Wcere is its
invincihe aimpllicit? Why is it that they only suceed in
moing forward with such painfu indecision?
low, it is to this temper that this esay is adressed. Ih
d oes not aim at convicting a hostlec dfishelief hut at succour-
ing a listressed faith And this it os under the conviection
that, in so d oing, it is reeaponing to the peeculisr character
and needs of the situation
For the urgeny, the perl of the hou, hes, not so much in
the novely, or forc, of the prssure that is brought to besr
against faith, as in the behaviour of faith itself under the
preasurea. What has haprnd i, not that faith has besn
confounded, but that it has been challenged lIt has besn
challenged hy new aocial needi, by strange levelopments of
c iliation, y tngers that it had notyet taken into account.
by thirsts that t had not prepared itself to satisy. lIt has
been challenged y neew acintifec metho, wholy unlllke its
familiar intellectual equuipmentt by nsw words of facts opeaned
to its aatonishment through dfiscoveriss which have changed
the entire ook of the earth: y immense masses of noveld
materia, which it has been sudeny and wioenly requuired
to aasimite: y strange fashions of specch in sctence and
histoy y a habel of'unknown tongusin all departments
of samuing and iterature.
Faith is under the pressure of this challenge : and the
primay uuestion is, how wll it behave? What is it gstng
to aa. or d, in fac of this exciting transformation which
has paesed over the euntire aurface of our intellectual acsney f
How wil it teal with the aituation? Wll t rove itsef
aequuatec to the ecrisis? lFo what ectent can it afftrd to suh-
mit to the transforming procass which has aheady opnated
upon the mind and the imagination? I t auhmsit, can it
survivel And in what condlition? with what oss, or damage.
or change? Cn evey sidee these challngees reach it they beat
u
t-
. ht
at its doors: they arrive in pel ting baste: thy camour for
immeliate soutions.
ow faith, uneer these rapid and storay challengs, i apt
to fall into pani. For this, surely, is the sey mesaning of
a panic-a fear that feeds upon itself. en in a psnic are
frightened a finiing themselbve afraid. fo noew with faith
it is terrifed at its own allarms. Hoe is it fit aske italft
that it ahold find itself hafded and timorous? II faith were
faith, woud it e ver lose its econfidence? FFo be frightecned is
to confess itself false: for faith is confdeene in o,Wheo
can never fai How can faith allow of t oobt or heeitatioe?
feurely foe faith to hesitate, to be econfused, is to deny its
wey nature. hus many anxious and perplexed aouis retreat
before their own parplenitie. decause their faith is troubleed,
they diistrust and abandon their faith Dhe wey fat that
it is in fistrss hecomes an amgmen against itt,
lIth is at this point, and because of this particllar perl thatt
we ar urgenty requsired to considerey eerionsly the natur
and condlitions of falith For our panic arises from our as-
aumption that faith is of such a nature, that the parpleniy.
into which, now and again, we ftnd ouraslves thrown, mmsst
bea impossile to it, must be incompatible with t. low, is
this so Ccught we to expet of faith that its confidence
ahould never fal itthat its light ahoud he alesaoa dtecisive?.
Is faith incriminated y the mere fat that it is in iffcuicies?.
Ist us, frat, consif er what has occurred, Ferhaps the situn-
tion ites, if we qusiely reew t, will give a reason wh it
is that, ust at the moment when we mostt nesd wigour and
assuranc, we shoud find ouraelves stripped of al that tener
tg renssuren.
For the peculiariy of the fiaturhance which we have got to
eanecountecr lis in this that it has reamosed from us the wery
wesapons y which we mdight hope to encounter itt Faiths
evientia muaterial is all corrohorative and accumuiative: it
fraws it from out of an external wordf, whiech can never
wholly isstiy. or account for the intsrnal realliy, yet which
san so gcoup itsel, that from a hunhed differing ines, t offers
indiret and parenthetic and cunvergent witness of that whiech
tt


As a frontend developer, I'm working a lot with CSS.
From time to time, I'm experimenting with CSS just for fun.
Recently I've found an article about 3D transforms in CSS, which gave ideas for new experiments.
To be short, I've finished up with the idea to build an interactive 3D object.
The original article is here
This simple demo allows changing some parameters of the object: width, height, depth, number of bars.
Here is the source code.
In this demo, I've tried to simplify the entire process of rendering of the object.
Static parts reside in the CSS definitions. And the dynamic parts are calculated upon each parameters update.
Because this object has a simple structure, all data required to build it is calculated with the help of three functions.
The two of them faceWidth
and faceHeight
are calculating the correct width and height of each part.
The transform
function finds which transformations are required to place each part in the proper place and to turn them to
the right angle.
The idea behind the rendering process is simple.
There is an object (I refer to it as plane
) that defines the height and width of the object. By default the plane is
invisible.
Next, I'm creating other objects (I refer to them as faces
). Each face is placed in the correspondent place with the
respective angle.
The set of faces (I refer to them as bar
) is positioned from top of the plane to the bottom in order of appearance. Thus, by
defining the number of bars, it is possible to realign faces to the right places.
In this demo, the only rotating object is the plane. All other parts are just following the plane.
If, for some reason, the browser doesn't support the yet experimental CSS feature
With this new feature, it is possible to enrich web pages with simple 3D objects.
I've got a couple of ideas about how it can be applied!
It can be a preloader to your web application.
It is possible to visualize some data.
Also, it is possible to implement some fancy 3D spinners/waiters/loading indicators!


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set mproj proj
Sets current map projection. Options for proj
are:
latlon
Lat/lon projection with aspect ratio maintained (default) scaled
Lat/lon aspect ratio is not maintained; plot fills entire plotting areanps
North polar stereographic sps
South polar stereographic lambert
Lambert conformal conic projectionmollweide
Mollweide projectionorthogr
Orthographic projectionrobinson
Robinson projection, requires set lon -180 180, set lat -90 90
off
No map is drawn; axis labels are not interpreted as lat/lon


Akan Names Generator
Akan names generator gives users thier akan names based on thier gender and dayOfBirth
Enter your date of birth to get started
Date:
Month:
Year:
Female
Male
Results:


--- layout: post title: Vodafone to begin fixed-rate service for sweethearts date: 2005-10-16 00:00:00 categories: business mobile ---
Via Keitai-L, Vodafone to begin fixed-rate service for sweethearts: "Vodafone KK said Tuesday it will begin a service on Nov 1 that will allow a subscriber to converse and exchange email with a designated person limitlessly for a fixed monthly fee of 315 yen."


-
TorchCoin (TCH) is a cryptocurrency backed by the training of deep learning models written in PyTorch on the blockchain.
Training PyTorch models is the mechanism behind mining TorchCoin.
Verified deep learning researchers may submit their models to be trained on the blockchain.
Miners use GPUs to train submitted PyTorch models for a TorchCoin reward.Why?
GPU resources are scarce due to their growing popularity in the cryptocurrency mining community, and for this reason among others, deep learning researchers often have difficulty obtaining GPU resources for their research. Training deep learning models as the mechanism for mining cryptocurrency is beneficial to everyone involved.
Why PyTorch?
Yo Tensorflow, I'm really happy for you, I'll let you finish, but PyTorch has one of the best dynamic computation graph engines of all time.
-
Getting started
For deep learning researchers
First, install the TorchCoin model submission tools...
Submit your models using:For example:
For miners
First, install the TorchCoin mining software...
Start the mining process by:For example:
For traders
First, install the TorchCoin wallet software...
Transfer TorchCoin using:For example:


Across: 6. Just assemble - and ride until puffed! (7) 7. Lightweight car holds a tiny lead (5) 9. Publicity in, say, harsh criticism (5) 10. Aces about layer of (eg) strawberry pips (7) 12. But sir, tossing about ball outside creates an annoyance! (11) 14. Vehicle under big top came in third (11) 18. Observes and reassesses, perhaps (7) 19. As the bird flies - into Ulladulla via Nerriga! (5) 21. Right-in-your-face comedy (5) 22. Get over nervous start, so fit to bolt at the end (7) Down: 1. Triple jump '5O - it used to be about guts! (5) 2. Trail a wide-turning vehicle for colourful festival (6) 3. Material bits of 17 Down (3) 4. Object to photograph showing leading runner actually came first (6) 5. Ability to bond with Valentine enhanced by taking time in place with cool head (7) 8. Bugs a real leader among strike-breakers (7) 11. Lucky to be seen through such a badly cleaned window (7) 13. He's a very fast runner, but twice he is caught by wild cat (7) 15. Can you on-sell audio bite with such subtlety? (6) 16. Rave about trendy natural feature (6) 17. GG: revise, revise (5) 20. Copy bits of 17 Down (3)


--- Day 15: Science for Hungry People ---
Today, you set out on the task of perfecting your milk-dunking cookie recipe. All you have to do is find the right balance of ingredients.
Your recipe leaves room for exactly 100
teaspoons of ingredients. You make a list of the remaining ingredients you could use to finish the recipe (your puzzle input) and their properties per teaspoon:
capacity
(how well it helps the cookie absorb milk)durability
(how well it keeps the cookie intact when full of milk)flavor
(how tasty it makes the cookie)texture
(how it improves the feel of the cookie)calories
(how many calories it adds to the cookie)
You can only measure ingredients in whole-teaspoon amounts accurately, and you have to be accurate so you can reproduce your results in the future. The total score of a cookie can be found by adding up each of the properties (negative totals become 0
) and then multiplying together everything except calories.
For instance, suppose you have these two ingredients:
Butterscotch: capacity -1, durability -2, flavor 6, texture 3, calories 8
Cinnamon: capacity 2, durability 3, flavor -2, texture -1, calories 3
Then, choosing to use 44
teaspoons of butterscotch and 56
teaspoons of cinnamon (because the amounts of each ingredient must add up to 100
) would result in a cookie with the following properties:
- A
capacity
of44*-1 + 56*2 = 68
- A
durability
of44*-2 + 56*3 = 80
- A
flavor
of44*6 + 56*-2 = 152
- A
texture
of44*3 + 56*-1 = 76
Multiplying these together (68 * 80 * 152 * 76
, ignoring calories
for now) results in a total score of 62842880
, which happens to be the best score possible given these ingredients. If any properties had produced a negative total, it would have instead become zero, causing the whole score to multiply to zero.
Given the ingredients in your kitchen and their properties, what is the total score of the highest-scoring cookie you can make?


never executed always true always false
1 -- | This module contains a type class that
2 -- describes exchangable operations on messages
3 -- boxes.
4 module UnliftIO.MessageBox.Class
5 ( IsMessageBoxArg (..),
6 IsMessageBox (..),
7 IsInput (..),
8 handleMessage,
9 )
10 where
11
12 import Data.Kind (Type)
13 import UnliftIO.MessageBox.Util.Future (Future, awaitFuture)
14 import UnliftIO (MonadUnliftIO, timeout)
15 import Control.Monad (void)
16
17 -- | Types that configure and allow the creation of a 'MessageBox'.
18 --
19 -- Create 'IsMessageBox' instances from a parameter.
20 -- Types that determine 'MessageBox' values.
21 --
22 -- For a limited message box this might be the limit of
23 -- the message queue.
24 class
25 (IsMessageBox (MessageBox argument), IsInput (Input (MessageBox argument))) =>
26 IsMessageBoxArg argument
27 where
28 -- | The message box that can be created from the
29 -- message box argument
30 type MessageBox argument :: Type -> Type
31
32 -- | Return a message limit.
33 --
34 -- NOTE: This method was added for unit tests.
35 -- Although the method is totally valid, it
36 -- might not be super useful in production code.
37 -- Also note that the naming follows the rule:
38 -- Reserve short names for entities that are
39 -- used often.
40 getConfiguredMessageLimit :: argument -> Maybe Int
41
42 -- | Create a new @msgBox@ according to the<EMAIL_ADDRESS>43 -- This is required to receive a message.
44 -- NOTE: Only one process may receive on an msgBox.
45 newMessageBox :: MonadUnliftIO m => argument -> m (MessageBox argument a)
46
47 -- | A type class for msgBox types.
48 -- A common interface for receiving messages.
49 class IsInput (Input box) => IsMessageBox box where
50 -- | Type of the corresponding input
51 type Input box :: Type -> Type
52
53 -- | Receive a message. Take whatever time it takes.
54 -- Return 'Just' the value or 'Nothing' when an error
55 -- occurred.
56 --
57 -- NOTE: Nothing may sporadically be returned, especially
58 -- when there is a lot of load, so please make sure to
59 -- build your application in such a way, that it
60 -- anticipates failure.
61 receive :: MonadUnliftIO m => box a -> m (Maybe a)
62
63 -- | Return a 'Future' that can be used to wait for the
64 -- arrival of the next message.
65 -- NOTE: Each future value represents the next slot in the queue
66 -- so one future corresponds to exactly that message (should it arrive)
67 -- and if that future value is dropped, that message will be lost!
68 tryReceive :: MonadUnliftIO m => box a -> m (Future a)
69
70 -- | Wait for an incoming message or return Nothing.
71 --
72 -- The default implementation uses 'tryReceive' to get a
73 -- 'Future' on which 'awaitFuture' inside a 'timeout' is called.
74 --
75 -- Instances might override this with more performant implementations
76 -- especially non-blocking Unagi channel based implementation.
77 --
78 -- NOTE: Nothing may sporadically be returned, especially
79 -- when there is a lot of load, so please make sure to
80 -- build your application in such a way, that it
81 -- anticipates failure.
82 receiveAfter ::
83 MonadUnliftIO m =>
84 -- | Message box
85 box a ->
86 -- | Time in micro seconds to wait until the
87 -- action is invoked.
88 Int ->
89 m (Maybe a)
90 receiveAfter !mbox !t =
91 tryReceive mbox >>= timeout t . awaitFuture
92
93 -- | Create a new @input@ that enqueus messages,
94 -- which are received by the @box@
95 newInput :: MonadUnliftIO m => box a -> m (Input box a)
96
97 -- | A type class for input types.
98 -- A common interface for delivering messages.
99 class IsInput input where
100 -- | Send a message. Take whatever time it takes.
101 -- Depending on the implementation, this might
102 -- be a non-blocking operation.
103 -- Return if the operation was successful.
104 --
105 -- NOTE: @False@ may sporadically be returned, especially
106 -- when there is a lot of load, so please make sure to
107 -- build your application in such a way, that it
108 -- anticipates failure.
109 deliver :: MonadUnliftIO m => input a -> a -> m Bool
110 -- | See 'deliver' but with @()@ as return value.
111 -- If 'deliver' fails, it fails silently.
112 deliver_ :: MonadUnliftIO m => input a -> a -> m ()
113 deliver_ i a = void (deliver i a)
114
115 -- ** Utility Functions for Receiving Messages
116
117 -- | Receive a message and apply a function to it.
118 handleMessage ::
119 (MonadUnliftIO m, IsMessageBox box) =>
120 box message ->
121 (message -> m b) ->
122 m (Maybe b)
123 handleMessage !box !onMessage = do
124 !maybeMessage <- receive box
125 case maybeMessage of
126 Nothing -> pure Nothing
127 Just !message -> do
128 Just <$> onMessage message


Since 1976, Rocket Elevators started from a family business and grew to one of the largest elevator company in America.
For a smooth ride that is also energy-efficient, traction elevators are the one you need!
Since pneumatic elevators don't require cables, pulleys, a pit, or an engine room, they can require less energy and space compared to traditional home elevators. This makes them a perfect choice for houses, apartments, offices, and even boats!
The hydraulic elevator system is reliable and safe. The elevator cab is never suspended in the air and is held up by the hydraulic arm at higher floors. The arm safely carries the cab and its passengers up and down. Their reliability and safety make them a popular residential elevator choice.
In need of something unique to satisfy your sky-high desires? We can help build you what you dream in terms of elevators systems.
We truly care about our users and our product.
CONTACT US NOW GET A QUOTE


{% extends "layout.html" %} {% block content %}
You have
{{ holidays }} holidays.
{{ xem }} XEMs for transaction fee.


jSON Server with ReactJS
"How to use jSON Server with ReactJS"
JSON Server helps you to set up a REST API simply and quickly. As they report in the Github repository, you can create in less than 30 seconds. In this article, we will see how to install and make available a jSON file.
Starting the project
- 1 - We created the project using created-react-app
- 2 - We installed jSON-Server
$ npx create-react-app my-app
$ cd my-app
$ npm install -g json-server
Creating the JSON File
Within my-app folder we will create a file named "db.json" with the following data:
{
"posts": [
{
"title": "CopyRight Automatico",
"tags": "[JS]"
},
{
"title": "HtmlWebpackPlugin Multiples HTML files",
"tags": "[JS, webpack]"
}
]
}
Then let's run "json-server" and "react-app" by running the command below:
$ json-server --watch db.json --port 3001
$ npm run start
Configuring the App.js file
Now that we have our "json-server" running under "localhost:3001/posts" we can do our consultation. So in the App.js file insert the following code below, where when mounting the component in the react, we perform a query with "fetch" and in a sequence we use the "map" to return each item.
Result
Now, if we look at the "React App" page, we will have the following result.
Conclusion
By following the steps in this article, you can create an excellent development
environment with ReactJS and jSON SERVER for your applications.
The theme used in
the code, I created inspired by "Vue.js" and you can install in "VS_Code", searching for
"Vue Theme".
Thanks!!!


This page should not be protected with Basic Auth because it is available only in paid plans.
Navigation
/
/basic-auth/


Chinese smash European hopes of 'Legends' video game glory
by ReutersPARIS: Chinese video gamers crushed a team from Europe on Sunday who was hoping to break the domination of Asian players in the world championship finals of online game “League of Legends”.
With more than $1 million up for grabs, China’s FunPlus Phoenix (FPX) swept the tournament, beating Europe’s G2 Esports in all three games before a crowd of over 15,000 fans in Paris.
The game, developed 10 years ago by Los Angeles-based Riot Games, sees teams of players face off in a virtual battle arena with one main goal: destroying their opponents’ “Nexus” base.
After strong showings earlier in the series, the Europeans were the favorites to win the grand final of the 10th edition of the championship, held this year in Paris’ AccorHotels Arena.
However, the Chinese team smashed European hopes of ending Asia’s supremacy with their victory.
South Korea has won five of the six previous championships; with Chinese team Invictus Gaming winning last year.
“FPX is a really good team, so even if we had played better it would have been rough,” G2 Esports coach Fabian Lohmann, whose gaming name is “GrabbZ”, told the reporter.
Along with Dota 2, Fortnite and Counter-Strike: Global Offensive, League of Legends is one of the most popular games in the fast-growing esports – video game competitions.
The European and Chinese teams in Sunday’s finals were composed of five players each, all male and aged between 19 and 24.
The tournament had a prize pool this year of about $6.5 million, making it the third-biggest after Dota 2’s The International and the Fortnite World Cup.
The winning team got almost $835,000, with the runners-up receiving more than $300,000.
Riot Games said last year’s championship attracted close to 100 million viewers, putting it in the same ballpark as the National Football League’s Super Bowl, the biggest American TV event.
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If all local usages of a parameter are preceded by assignments to that parameter, the parameter can be removed and its usages replaced with local variables. It makes no sense to have such a parameter, as values that are passed to it are overwritten. Usually, the problem appears as a result of refactoring.
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p = 1;
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}
After the quick-fix is applied:
void test() {
int p = 1;
System.out.print(p);
}


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Congruence.20closure.html ---
Hi, what cc
tactic can do?
Docs say "Tries to prove the main goal using congruence closure."
But no examples
Basically it can reason about equality
https://github.com/leanprover-community/mathlib/blob/master/docs/tactics.md#cc-congruence-closure
(or https://leanprover-community.github.io/mathlib_docs/tactics.html#cc%20(congruence%20closure) )
I've also grep'd for cc
in whatever file I currently have open to give you a practical example. These are the kinds of things I use it for normally.
this : l₂h = y ⊢ (x, y) = (x, l₂h)
eq₁ : {x := a, y := r} = hd, h₁ : {x := px, y := py} = hd ⊢ py = r
I am not sure whether it's an overkill for these but there you go - I use it to show equality "through" structures.
cc
can also discharge some otherwise gnarly heterogeneous equality goals
both of those are cases, refl
for me
Last updated: Apr 24 2020 at 19:02 UTC


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Good news for Man City: Guardiola set for key injury boost as star tipped to feature vs Chelsea
by Ron CarneMan City boss Pep Guardiola is reportedly set to receive positive news on the injury front this week with Ederson expected to face Chelsea this weekend.
After the disappointment of their defeat to Premier League title rivals Liverpool prior to the international break, the defending champions will be desperate to bounce back on Saturday evening.
It won’t be easy though as they face an in-form Chelsea side who are on an impressive winning run, while City have now slipped down to fourth place in the standings and nine points adrift of Liverpool.
With that in mind, they will know that they simply can’t afford to slip up again this weekend and so Guardiola will hope that he has as close to a fully-fit squad at his disposal as possible.
According to The Sun, Ederson is in line to make his comeback from a thigh injury to face Chelsea in the late kickoff on Saturday and given the quality and experience that he brings between the posts, it will surely be seen as a major boost for Man City.
Naturally, it remains to be seen if he is officially passed fit over the next 48 hours as Guardiola is expected to speak to the media on Friday and will likely offer the latest injury updates on his players.
As for Ederson’s influence on the side though, the 26-year-old Brazilian international has conceded 85 goals in 115 appearances since joining Man City, keeping 57 clean sheets.
In turn, it will give his side a huge lift to see him back in the line-up if he gets the green light, with Claudio Bravo set to drop out of the XI after deputising for him last time out.


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BibTeX:
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|
| | Scope ()=default |
| |
| | Scope (Scope &&that) noexcept=default |
| |
| Scope & | operator= (Scope &&that) noexcept=default |
| |
| | Scope (const Scope< T > &)=delete |
| |
| Scope< T > & | operator= (const Scope< T > &)=delete |
| |
| void | set_containing_scope (const Scope< T > *s) |
| | Set the parent scope. More...
|
| |
| template<typename T2 = T, typename = typename std::enable_if<!std::is_same<T2, void>::value>::type> |
| T2 | get (const std::string &name) const |
| | Retrieve the value referred to by a name. More...
|
| |
| template<typename T2 = T, typename = typename std::enable_if<!std::is_same<T2, void>::value>::type> |
| T2 & | ref (const std::string &name) |
| | Return a reference to an entry. More...
|
| |
| bool | contains (const std::string &name) const |
| | Tests if a name is in scope. More...
|
| |
| size_t | count (const std::string &name) const |
| | How many nested definitions of a single name exist? More...
|
| |
| template<typename T2 = T, typename = typename std::enable_if<!std::is_same<T2, void>::value>::type> |
| void | push (const std::string &name, T2 &&value) |
| | Add a new (name, value) pair to the current scope. More...
|
| |
| template<typename T2 = T, typename = typename std::enable_if<std::is_same<T2, void>::value>::type> |
| void | push (const std::string &name) |
| |
| void | pop (const std::string &name) |
| | A name goes out of scope. More...
|
| |
| const_iterator | cbegin () const |
| |
| const_iterator | cend () const |
| |
| void | swap (Scope< T > &other) |
| |
template<typename T = void>
class Halide::Internal::Scope< T >
A common pattern when traversing Halide IR is that you need to keep track of stuff when you find a Let or a LetStmt, and that it should hide previous values with the same name until you leave the Let or LetStmt nodes This class helps with that.
Definition at line 94 of file Scope.h.
template<typename T = void>
template<typename T2 = T, typename = typename std::enable_if<!std::is_same<T2, void>::value>::type>
template<typename T = void>
template<typename T2 = T, typename = typename std::enable_if<!std::is_same<T2, void>::value>::type>
Return a reference to an entry.
Does not consider the containing scope.
Definition at line 144 of file Scope.h.
References internal_error, and table.
template<typename T = void>
template<typename T2 = T, typename = typename std::enable_if<!std::is_same<T2, void>::value>::type>


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PIA gets plane under expansion plan
by Our CorrespondentKARACHI: Pakistan International Airlines (PIA) has inducted the first aircraft under its fresh plan of fleet expansion.
“PIA has acquired two A320 aircraft on dry lease from Aviation Lease and Finance Company,” said PIA spokesperson Abdullah Hafeez Khan. “The first aircraft reached Karachi on Thursday while the second A320 will be delivered by the end of this year.”
In August, Prime Minister Imran Khan had approved the purchase of 12 new airplanes for addition to the PIA’s existing fleet by 2023.
“Airlines in Pakistan are operating at 90% occupancy rate and we are hopeful that following the induction of new airplanes, the demand will remain the same,” said the PIA spokesperson. “PIA is catering to 60% of the local demand and hopes to increase the share with the addition of new aircraft.”
Speaking at the arrival of A320, PIA Chief Executive Officer Air Marshal Arshad Malik said the airline had planned to add fuel-efficient aircraft to its fleet in order to introduce new routes and increase the frequency of flights.
He was of the view that the fuel-efficient aircraft would not only aid in revenue generation and facilitate passengers but would also help improve flight regularity and punctuality. He pointed out that the second A320 would arrive in December.
Published in The Express Tribune, November 22nd, 2019.