1605943454
What is HARD Protocol (HARD) | What is HARD Protocol token | What is HARD token
What is the HARD Protocol?
source : TokenClan
HARD is the world’s first cross-chain money market that enables you to earn more with your digital assets. With HARD you will now be able to lend, borrow, and earn with assets like BTC, XRP, BNB, BUSD, KAVA, and USDX.
It is the first of what will be many applications that utilize the Kava blockchain’s security, price feed module, and cross-chain functionality to provide open and decentralized financial services to the world.
How does the HARD Protocol Work?
There are three major activities:
- Supply — You can safely supply your digital assets on HARD and earn interest.
- Borrow — You can use your digital assets as collateral to borrow others.
- Earn — Suppliers and borrowers earn HARD, the governance token of the application.
How the HARD Protocol is Built
HARD is an application built on Kava, as such, it leverages Kava’s existing validators for security, bridges for cross-chain asset transfer, and partners services such as Chainlink oracles for price-reference data.
Version 1 of the HARD Protocol ships with support for supply-side deposits and HARD incentives for BTC, XRP, BNB, BUSD, USDX. Version 2 ships with borrow functionality and borrow-side incentives for those assets plus expanded functionality of HARD governance on-chain.
Initial Assets — BTC, BNB, BUSD, USDX, XRP, and HARD.
As an application built on Kava, it will have access to any asset on the Kava blockchain. In the Kava-4 “Gateway” mainnet upgrade, the BEP3 Bridge will be expanded to support BTC, XRP, BUSD and others making these assets available for use in HARD money markets along with native Kava assets like KAVA, HARD and USDX.
Open Integrations
Built as an open and permissionless application, HARD is accessible by anyone, anytime, anywhere in the world. Exchanges, Fintech apps, and financial institutions can integrate HARD’s money market products and provide earning and borrowing opportunities directly to their users.
HARD Governance
As seen in all decentralized money market applications today, a governance token is necessary for proper decentralization and to ensure the ongoing evolution of the application. To compete in the current environment it’s also critical to have incentives to bootstrap liquidity and incentivize user participation.
The HARD token — decentralized governance and incentives.
The HARD token primary role is to give holders a voice in the platform. Collectively, HARD holders are responsible for managing key parameters of the protocol such as what assets are to be offered, how rewards are distributed amongst assets, as well as set any platform fees, etc.
HARD tokens will also be used to incentivize early participants giving them a voice in the ongoing evolution and management of the application.
KAVA Tokens and Compensation
In designing HARD, it was carefully evaluated if the KAVA token could be used to also govern the application. Three major items prevented this:
- HARD’s evolution needs to be driven by the participants that use it. We believe that a fair distribution to users is necessary for long term success. The users of HARD money markets may or may not be the same as those that hold KAVA today giving reason to not conflate the governance of the Kava blockchain with that of the application.
- Having supplier and borrower incentives is a must in today’s yield oriented DeFi market. If we used the KAVA token for incentives on HARD, we would need to inflate KAVA upwards of 50% supply. Given that not all KAVA holders would be participants on HARD, inflating KAVA would meaningfully dilute existing KAVA holders to a degree that is not acceptable.
- Lastly, the KAVA token needs to be preserved as a reserve asset responsible for recapitalizing the lending platform. Conflating its value in multiple use cases creates a cascade of problems and can potentially undermine its value as a reserve asset.
HARD Compensation for KAVA Stakers
HARD and any other applications that utilizes the Kava blockchain’s security should in theory compensate KAVA stakers directly for that security and cross-chain infrastructure. As such, we felt it was appropriate that HARD tokens should be distributed continuously, pro-rata, amongst KAVA stakers.
HARD Distribution
A detailed release schedule can be found on this spreadsheet
There will be a max supply of 200M HARD tokens. The distribution of HARD tokens will be as follows:
40% — Incentives for Suppliers & Borrowers
25% — Treasury
20% — Kava Stakers
10% — Team
5% — IEO
Note: To achieve a fair distribution there will not be any seed or private sale of the HARD tokens.
Development Roadmap
- September 21st, 2020 — Testnet of HARD v1
- Internal testing.
- External audit.
2. October 15th, 2020 — HARD v1 ships along with Kava-4 “Gateway” upgrade
- HARD distribution begins.
- Supply-side deposits and HARD incentives for BTC, BNB, HARD, & USDX begin.
3. December 30th, 2020 — HARD v2
- Expanded HARD governance.
- Supply & borrow — BTC, XRP, BNB, BUSD, USDX and LINK.
- Borrow-side incentives begin — BTC, BNB, BUSD, LINK, USDX & XRP.
Learn about Cryptocurrency in this article ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
Would you like to earn HARD right now! ☞ CLICK HERE
How and Where to Buy HARD?
HARD has been listed on a number of crypto exchanges, unlike other main cryptocurrencies, it cannot be directly purchased with fiats money. However, You can still easily buy this coin by first buying Bitcoin, ETH, USDT from any large exchanges and then transfer to the exchange that offers to trade this coin, in this guide article we will walk you through in detail the steps to buy HARD
You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT)…
We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.
Binance is a popular cryptocurrency exchange which was started in China but then moved their headquarters to the crypto-friendly Island of Malta in the EU. Binance is popular for its crypto to crypto exchange services. Binance exploded onto the scene in the mania of 2017 and has since gone on to become the top crypto exchange in the world.
Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT)
Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)
After the deposit is confirmed you may then purchase HARD from the exchange.
Exchange: Binance, WBF Exchange, Gate.io, MXC.COM, and Coinone
Apart from the exchange(s) above, there are a few popular crypto exchanges where they have decent daily trading volumes and a huge user base. This will ensure you will be able to sell your coins at any time and the fees will usually be lower. It is suggested that you also register on these exchanges since once HARD gets listed there it will attract a large amount of trading volumes from the users there, that means you will be having some great trading opportunities!
Top exchanges for token-coin trading. Follow instructions and make unlimited money
☞ https://www.binance.com
☞ https://www.bittrex.com
☞ https://www.poloniex.com
☞ https://www.bitfinex.com
☞ https://www.huobi.com
☞ https://www.mxc.ai
☞ https://www.probit.com
☞ https://www.gate.io
☞ https://www.coinbase.com
Find more information HARD
☞ Website
☞ Explorer
☞ Social Channel
☞ Coinmarketcap
Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!
#blockchain #bitcoin #cryptocurrency #hard protocol #hard
What is GEEK
Buddha Community
1605943454
What is HARD Protocol (HARD) | What is HARD Protocol token | What is HARD token
What is the HARD Protocol?
source : TokenClan
HARD is the world’s first cross-chain money market that enables you to earn more with your digital assets. With HARD you will now be able to lend, borrow, and earn with assets like BTC, XRP, BNB, BUSD, KAVA, and USDX.
It is the first of what will be many applications that utilize the Kava blockchain’s security, price feed module, and cross-chain functionality to provide open and decentralized financial services to the world.
How does the HARD Protocol Work?
There are three major activities:
- Supply — You can safely supply your digital assets on HARD and earn interest.
- Borrow — You can use your digital assets as collateral to borrow others.
- Earn — Suppliers and borrowers earn HARD, the governance token of the application.
How the HARD Protocol is Built
HARD is an application built on Kava, as such, it leverages Kava’s existing validators for security, bridges for cross-chain asset transfer, and partners services such as Chainlink oracles for price-reference data.
Version 1 of the HARD Protocol ships with support for supply-side deposits and HARD incentives for BTC, XRP, BNB, BUSD, USDX. Version 2 ships with borrow functionality and borrow-side incentives for those assets plus expanded functionality of HARD governance on-chain.
Initial Assets — BTC, BNB, BUSD, USDX, XRP, and HARD.
As an application built on Kava, it will have access to any asset on the Kava blockchain. In the Kava-4 “Gateway” mainnet upgrade, the BEP3 Bridge will be expanded to support BTC, XRP, BUSD and others making these assets available for use in HARD money markets along with native Kava assets like KAVA, HARD and USDX.
Open Integrations
Built as an open and permissionless application, HARD is accessible by anyone, anytime, anywhere in the world. Exchanges, Fintech apps, and financial institutions can integrate HARD’s money market products and provide earning and borrowing opportunities directly to their users.
HARD Governance
As seen in all decentralized money market applications today, a governance token is necessary for proper decentralization and to ensure the ongoing evolution of the application. To compete in the current environment it’s also critical to have incentives to bootstrap liquidity and incentivize user participation.
The HARD token — decentralized governance and incentives.
The HARD token primary role is to give holders a voice in the platform. Collectively, HARD holders are responsible for managing key parameters of the protocol such as what assets are to be offered, how rewards are distributed amongst assets, as well as set any platform fees, etc.
HARD tokens will also be used to incentivize early participants giving them a voice in the ongoing evolution and management of the application.
KAVA Tokens and Compensation
In designing HARD, it was carefully evaluated if the KAVA token could be used to also govern the application. Three major items prevented this:
- HARD’s evolution needs to be driven by the participants that use it. We believe that a fair distribution to users is necessary for long term success. The users of HARD money markets may or may not be the same as those that hold KAVA today giving reason to not conflate the governance of the Kava blockchain with that of the application.
- Having supplier and borrower incentives is a must in today’s yield oriented DeFi market. If we used the KAVA token for incentives on HARD, we would need to inflate KAVA upwards of 50% supply. Given that not all KAVA holders would be participants on HARD, inflating KAVA would meaningfully dilute existing KAVA holders to a degree that is not acceptable.
- Lastly, the KAVA token needs to be preserved as a reserve asset responsible for recapitalizing the lending platform. Conflating its value in multiple use cases creates a cascade of problems and can potentially undermine its value as a reserve asset.
HARD Compensation for KAVA Stakers
HARD and any other applications that utilizes the Kava blockchain’s security should in theory compensate KAVA stakers directly for that security and cross-chain infrastructure. As such, we felt it was appropriate that HARD tokens should be distributed continuously, pro-rata, amongst KAVA stakers.
HARD Distribution
A detailed release schedule can be found on this spreadsheet
There will be a max supply of 200M HARD tokens. The distribution of HARD tokens will be as follows:
40% — Incentives for Suppliers & Borrowers
25% — Treasury
20% — Kava Stakers
10% — Team
5% — IEO
Note: To achieve a fair distribution there will not be any seed or private sale of the HARD tokens.
Development Roadmap
- September 21st, 2020 — Testnet of HARD v1
- Internal testing.
- External audit.
2. October 15th, 2020 — HARD v1 ships along with Kava-4 “Gateway” upgrade
- HARD distribution begins.
- Supply-side deposits and HARD incentives for BTC, BNB, HARD, & USDX begin.
3. December 30th, 2020 — HARD v2
- Expanded HARD governance.
- Supply & borrow — BTC, XRP, BNB, BUSD, USDX and LINK.
- Borrow-side incentives begin — BTC, BNB, BUSD, LINK, USDX & XRP.
Learn about Cryptocurrency in this article ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
Would you like to earn HARD right now! ☞ CLICK HERE
How and Where to Buy HARD?
HARD has been listed on a number of crypto exchanges, unlike other main cryptocurrencies, it cannot be directly purchased with fiats money. However, You can still easily buy this coin by first buying Bitcoin, ETH, USDT from any large exchanges and then transfer to the exchange that offers to trade this coin, in this guide article we will walk you through in detail the steps to buy HARD
You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT)…
We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.
Binance is a popular cryptocurrency exchange which was started in China but then moved their headquarters to the crypto-friendly Island of Malta in the EU. Binance is popular for its crypto to crypto exchange services. Binance exploded onto the scene in the mania of 2017 and has since gone on to become the top crypto exchange in the world.
Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT)
Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)
After the deposit is confirmed you may then purchase HARD from the exchange.
Exchange: Binance, WBF Exchange, Gate.io, MXC.COM, and Coinone
Apart from the exchange(s) above, there are a few popular crypto exchanges where they have decent daily trading volumes and a huge user base. This will ensure you will be able to sell your coins at any time and the fees will usually be lower. It is suggested that you also register on these exchanges since once HARD gets listed there it will attract a large amount of trading volumes from the users there, that means you will be having some great trading opportunities!
Top exchanges for token-coin trading. Follow instructions and make unlimited money
☞ https://www.binance.com
☞ https://www.bittrex.com
☞ https://www.poloniex.com
☞ https://www.bitfinex.com
☞ https://www.huobi.com
☞ https://www.mxc.ai
☞ https://www.probit.com
☞ https://www.gate.io
☞ https://www.coinbase.com
Find more information HARD
☞ Website
☞ Explorer
☞ Social Channel
☞ Coinmarketcap
Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!
#blockchain #bitcoin #cryptocurrency #hard protocol #hard
1658068560
WordsCounted: A Ruby Natural Language Processor
WordsCounted
We are all in the gutter, but some of us are looking at the stars.
-- Oscar Wilde
WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.
Features
- Out of the box, get the following data from any string or readable file, or URL:
- Token count and unique token count
- Token densities, frequencies, and lengths
- Char count and average chars per token
- The longest tokens and their lengths
- The most frequent tokens and their frequencies.
- A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
- Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as
["Bayrūt"]and not["Bayr", "ū", "t"], for example. - Opens and reads files. Pass in a file path or a url instead of a string.
Installation
Add this line to your application's Gemfile:
gem 'words_counted'
And then execute:
$ bundle
Or install it yourself as:
$ gem install words_counted
Usage
Pass in a string or a file path, and an optional filter and/or regexp.
counter = WordsCounted.count(
"We are all in the gutter, but some of us are looking at the stars."
)
# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")
.count and .from_file are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter initialized with the tokens. The WordsCounted::Tokeniser and WordsCounted::Counter classes can be used alone, however.
API
WordsCounted
WordsCounted.count(input, options = {})
Tokenises input and initializes a WordsCounted::Counter object with the resulting tokens.
counter = WordsCounted.count("Hello Beirut!")
Accepts two options: exclude and regexp. See Excluding tokens from the analyser and Passing in a custom regexp respectively.
WordsCounted.from_file(path, options = {})
Reads and tokenises a file, and initializes a WordsCounted::Counter object with the resulting tokens.
counter = WordsCounted.from_file("hello_beirut.txt")
Accepts the same options as .count.
Tokeniser
The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.
Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.
#tokenise([pattern: TOKEN_REGEXP, exclude: nil])
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise
# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")
# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)
See Excluding tokens from the analyser and Passing in a custom regexp for more information.
Counter
The WordsCounted::Counter class allows you to collect various statistics from an array of tokens.
#token_count
Returns the token count of a given string.
counter.token_count #=> 15
#token_frequency
Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.
counter.token_frequency
[
["the", 2],
["are", 2],
["we", 1],
# ...
["all", 1]
]
#most_frequent_tokens
Returns a hash where each key-value pair is a token and its frequency.
counter.most_frequent_tokens
{ "are" => 2, "the" => 2 }
#token_lengths
Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.
counter.token_lengths
[
["looking", 7],
["gutter", 6],
["stars", 5],
# ...
["in", 2]
]
#longest_tokens
Returns a hash where each key-value pair is a token and its length.
counter.longest_tokens
{ "looking" => 7 }
#token_density([ precision: 2 ])
Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision argument, which must be a float.
counter.token_density
[
["are", 0.13],
["the", 0.13],
["but", 0.07 ],
# ...
["we", 0.07 ]
]
#char_count
Returns the char count of tokens.
counter.char_count #=> 76
#average_chars_per_token([ precision: 2 ])
Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.
counter.average_chars_per_token #=> 4
#uniq_token_count
Returns the number of unique tokens.
counter.uniq_token_count #=> 13
Excluding tokens from the tokeniser
You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.
- A space-delimited string. The filter will normalise the string.
- A regular expression.
- A lambda.
- A symbol that names a predicate method. For example
:odd?. - An array of any combination of the above.
tokeniser =
WordsCounted::Tokeniser.new(
"Magnificent! That was magnificent, Trevor."
)
# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]
# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]
# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]
# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]
# Using an array
tokeniser = WordsCounted::Tokeniser.new(
"Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]
Passing in a custom regexp
The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.
/[\p{Alpha}\-']+/
You can pass your own criteria as a Ruby regular expression to split your string as desired.
For example, if you wanted to include numbers, you can override the regular expression:
counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]
Opening and reading files
Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.
counter = WordsCounted.from_file("url/or/path/to/file.text")
Gotchas
A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.
counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency
[
["do", 2],
["how", 1],
["you", 1],
["-you", 1], # WTF, mate!
["are", 1],
# ...
]
In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.
A note on case sensitivity
The program will normalise (downcase) all incoming strings for consistency and filters.
Roadmap
Ability to open URLs
def self.from_url
# open url and send string here after removing html
end
Are you using WordsCounted to do something interesting? Please tell me about it.
Demo
Visit this website for one example of what you can do with WordsCounted.
Contributors
See contributors.
Contributing
- Fork it
- Create your feature branch (
git checkout -b my-new-feature) - Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin my-new-feature) - Create new Pull Request
Author: Abitdodgy
Source Code: https://github.com/abitdodgy/words_counted
License: MIT license
1659601560
Words Counted: A Ruby Natural Language Processor.
WordsCounted
We are all in the gutter, but some of us are looking at the stars.
-- Oscar Wilde
WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.
Are you using WordsCounted to do something interesting? Please tell me about it.
Demo
Visit this website for one example of what you can do with WordsCounted.
Features
- Out of the box, get the following data from any string or readable file, or URL:
- Token count and unique token count
- Token densities, frequencies, and lengths
- Char count and average chars per token
- The longest tokens and their lengths
- The most frequent tokens and their frequencies.
- A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
- Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as
["Bayrūt"]and not["Bayr", "ū", "t"], for example. - Opens and reads files. Pass in a file path or a url instead of a string.
Installation
Add this line to your application's Gemfile:
gem 'words_counted'
And then execute:
$ bundle
Or install it yourself as:
$ gem install words_counted
Usage
Pass in a string or a file path, and an optional filter and/or regexp.
counter = WordsCounted.count(
"We are all in the gutter, but some of us are looking at the stars."
)
# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")
.count and .from_file are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter initialized with the tokens. The WordsCounted::Tokeniser and WordsCounted::Counter classes can be used alone, however.
API
WordsCounted
WordsCounted.count(input, options = {})
Tokenises input and initializes a WordsCounted::Counter object with the resulting tokens.
counter = WordsCounted.count("Hello Beirut!")
Accepts two options: exclude and regexp. See Excluding tokens from the analyser and Passing in a custom regexp respectively.
WordsCounted.from_file(path, options = {})
Reads and tokenises a file, and initializes a WordsCounted::Counter object with the resulting tokens.
counter = WordsCounted.from_file("hello_beirut.txt")
Accepts the same options as .count.
Tokeniser
The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.
Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.
#tokenise([pattern: TOKEN_REGEXP, exclude: nil])
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise
# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")
# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)
See Excluding tokens from the analyser and Passing in a custom regexp for more information.
Counter
The WordsCounted::Counter class allows you to collect various statistics from an array of tokens.
#token_count
Returns the token count of a given string.
counter.token_count #=> 15
#token_frequency
Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.
counter.token_frequency
[
["the", 2],
["are", 2],
["we", 1],
# ...
["all", 1]
]
#most_frequent_tokens
Returns a hash where each key-value pair is a token and its frequency.
counter.most_frequent_tokens
{ "are" => 2, "the" => 2 }
#token_lengths
Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.
counter.token_lengths
[
["looking", 7],
["gutter", 6],
["stars", 5],
# ...
["in", 2]
]
#longest_tokens
Returns a hash where each key-value pair is a token and its length.
counter.longest_tokens
{ "looking" => 7 }
#token_density([ precision: 2 ])
Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision argument, which must be a float.
counter.token_density
[
["are", 0.13],
["the", 0.13],
["but", 0.07 ],
# ...
["we", 0.07 ]
]
#char_count
Returns the char count of tokens.
counter.char_count #=> 76
#average_chars_per_token([ precision: 2 ])
Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.
counter.average_chars_per_token #=> 4
#uniq_token_count
Returns the number of unique tokens.
counter.uniq_token_count #=> 13
Excluding tokens from the tokeniser
You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.
- A space-delimited string. The filter will normalise the string.
- A regular expression.
- A lambda.
- A symbol that names a predicate method. For example
:odd?. - An array of any combination of the above.
tokeniser =
WordsCounted::Tokeniser.new(
"Magnificent! That was magnificent, Trevor."
)
# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]
# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]
# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]
# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]
# Using an array
tokeniser = WordsCounted::Tokeniser.new(
"Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]
Passing in a custom regexp
The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.
/[\p{Alpha}\-']+/
You can pass your own criteria as a Ruby regular expression to split your string as desired.
For example, if you wanted to include numbers, you can override the regular expression:
counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]
Opening and reading files
Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.
counter = WordsCounted.from_file("url/or/path/to/file.text")
Gotchas
A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.
counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency
[
["do", 2],
["how", 1],
["you", 1],
["-you", 1], # WTF, mate!
["are", 1],
# ...
]
In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.
A note on case sensitivity
The program will normalise (downcase) all incoming strings for consistency and filters.
Roadmap
Ability to open URLs
def self.from_url
# open url and send string here after removing html
end
Contributors
See contributors.
Contributing
- Fork it
- Create your feature branch (
git checkout -b my-new-feature) - Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin my-new-feature) - Create new Pull Request
Author: abitdodgy
Source code: https://github.com/abitdodgy/words_counted
License: MIT license
#ruby #ruby-on-rails
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SafeMoon Clone | Create A DeFi Token Like SafeMoon | DeFi token like SafeMoon
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