What is LunaFi (LFI) | What is LunaFi token | What is LFI token

In this article, we'll discuss information about the LunaFi project and LFI token. What is LunaFi (LFI) | What is LunaFi token | What is LFI token?

LunaFi is the world’s first decentralized DeFi betting platform – In this game you are the favorite.

By harnessing the power of the decentralized technologies, community governance, and autonomous smart contracts — we allow users to securely place peerless bets in a trustless, non-custodial betting platform that is set to revolutionize the global sports betting industry by allowing the player to invest and become the house.

To facilitate this, we provide a complete DeFi platform designed to enable the integration of sports betting and prediction markets, powered by a protocol and community-owned liquidity pool known as a House Pool. This suite can be integrated by developers looking to add peerless betting functionalities to their dApps — the first of which will be LunaFi’s own dApp, Lunabets, a decentralized sports book application.

In turn, these dApps empower individuals and communities with safe and equitable betting experiences, operating on a secure infrastructure layer that is transparent, cannot be influenced by centralized entities, where odds are autonomously optimized in line with the market and all outcomes are verifiable on-chain.

Mission Statement

All betting platforms are engineered so the house wins, regardless of the successes of its patrons. It's a 5,000 year old business model, but until now — this model has been tightly controlled by centralized authorities whose focus is on maximizing profits, often at the expense of fairness and transparency.

In a world where distrust in centralized institutions is on the rise, it is LunaFi's mission to place ownership and power in the hands of the people with a hybrid protocol for DeFi gambling that is driven by user-contributed liquidity, community-owned, and fueled by the $LFI token.

LunaFi Protocol

LunaFi is a decentralized betting protocol powered by the native LunaFi $LFI token. Players earn $LFI rewards for placing bets on the lunabets platform. Community members may earn $LFI in exchange for providing liquidity, and stakers earn $LFI for participating in the governance/security of the platform. All revenues of the ecosystem are shared with all $LFI token holders.

Our goal with the LunaFi protocol was to devise an interoperable DeFi architecture that can revolutionize the way money is gambled, using decentralized technologies to optimize and democratize the ancient human pastime of betting. To achieve this outcome, we decided to rewrite the rule book.

Why? Our founders and creators are all gamblers. We have experienced the culture that challenges trust in the traditional betting system. Blockchain solves this by removing proviting executives and middleman management-layer thinking, by offering investors unprecedented access to a share of in-house profits. In the LunaFi Ecosystem, you are the house.

The smart contracts ecosystem comprises the following:

House Pools - A house pool contract allows liquidity provider deposits (USDC, BTC & ETH) to bankroll Lunabets and third-party dApps that integrate LunaFi.

TreasuryDAO - The DAO wallet store offers cold storage for treasury funds and the distribution of profits to community members.

Rewards Contract - Distributes $LFI tokens to players & liquidity providers.

$LFI Staking Pool - A contract that requires $LFI to be staked to participate in voting on proposals for ecosystem improvements in order to receive further $LFI token incentives. Users also receive revenues from $LFI bets + $LFI tokens from the treasury contract in return for securing the protocol.

The LunaFi ecosystem incorporates a Treasury, House Pools and community DAO. To align LunaFi's ecosystem development with community interests, 40.5% of the $LFI supply will be distributed to the community primarily to incentivize participation in betting, provision of liquidity, and governance rewards.

The House Pools

House Pools use community-owned “liquidity pools” to bankroll Lunabets. They are permissionless, transparent, and offer yield rewards to incentivize liquidity providers to keep their tokens within the pool, once winning bets have been paid out. The more tokens provided as liquidity within the ecosystem, the lesser the risk, yield variance, and emissions.

Yield will be supported by $LFI token emissions for 36 months.

House Pools collects 1.5% of all betting turnovers, earned by the Treasury’s smart contract. The treasury converts these net fees via the DEX into $LFI tokens for further distribution or allocation for burning as a deflationary mechanism.

LPs who deposit USDC, BTC, or ETH into house pools provide liquidity for the smart contract. The House pool’s profit is based on a fixed pre-programmed margin, confirmed by the oracle used to report the result and generate the probability of odds, acting in a similar manner to the ‘margin’ levied by a traditional bookmaker.

The coded formula behind our sports betting pools takes into account the significant ‘jump risk’ and impermanent loss associated with all gambling markets.

It is crucial when patrons place bets, the liquidity in the house pools ensures users are paid out instantly when a bet is won. This exposure requires payout in a worst-case scenario to be factored in as pooled funds are locked, preventing liquidity providers from withdrawing their stake until all bets are paid out.

The LunaFi protocol will prevent the house from accepting bets that cannot be paid. The protocol’s hard-coded rules ensure that the deeper the pool becomes, the bigger the stake can be made, and the greater the rewards to liquidity providers.

Liquidity providers are guaranteed through assured risk exposure control and governance by a smart contract risk management system, put in place to ensure there are no disproportionate losses to the size of the pool i.e. 1% of losses to any event and correct limits on bets, security verified by aggregated oracle feeds.

Deployed on Polygon & SX Network

LunaFi believes Polygon is a desirable alternative chain to launch our company on for a number of reasons. The ‘low throughput’ issues of ETH mean it can only process 30 transactions a second. Polygon is a layer-two (L2) scaling platform that leverages the security benefits of ETH as well as its smart contracts, but significantly improves the throughput (tx) capacity to 7200 per second with competitive gas fees..

LunaFi DAO

The tradition of the “bet’, where… “The house always wins” has been replaced with defi staking, farming and yielding – That’s because as long as there is money, there will be gambling… as long as there is gambling, there will be profits… gambling is designed so the house nets a profit regardless of the success of its patrons. LunaFi allows anyone to become part of the “house” and take a share of its profits through decentralized liquidity and smart contracts.

We believe that every patron deserves the right to earn from their own bets regardless of whether they win or lose, another innovation of Blockchain thinking. Trustless, decentralized betting with guaranteed liquidity and payouts is the future – DeFi gambling offering investors true, real-world utility and profitability.

The LunaFi ecosystem is decentralized, governed by an open DAO of community stakeholders, industry experts and project partners. This allows dApps to integrate LunaFi’s gambling infrastructure maximal transparency, minimal required trust in centralized operators, and with no centralized attack surfaces.

In order to promote community governance, $LFI tokens allow holders to propose and vote on the governance features of the LunaFi ecosystem. Voting rights are restricted to LunaFi's development and community function through the allocation of treasury funds.

Fees

The treasury contract charges the house pools 1.5% of turnover. This is allocated as follows: Maintenance & running costs of the platform. Automatically buying $LFI tokens on DEXs to distribute to users and liquidity providers. Burning $LFI. Supporting further innovation & 3rd party partnerships and charitable causes.

Governance

LFI is the platform’s governance token, which gives token-holders the ability to participate in on-chain voting on new pool strategies and other platform decisions. This section outlines how members of the LunaFi community might use their tokens.

Securing the protocol

The primary mechanism for securing the LunaFi Protocol is the incentivization of LFI holders to lock tokens into the LFI Governance Module.

The locked $LFI will be used as a mitigation tool in case of a shortfall event within the House Pools as part of the LunaFi ecosystem. A Shortfall Event occurs when there is a deficit of funds in the House pools.

To contribute to the safety of the protocol and receive incentives, LFI holders will deposit their tokens, in return for a tokenized position that can be freely moved within the network. This token is known as vLFI.

$LFI rewards are subject to a cooldown period where tokens are unclaimable. The cooldown period is set at ten days.

Earning $LFI

The House Pools are incentivised for 36 months. You are able to stake your LP tokens from the respective house pools on LunaFi to earn additional yield in $LFI. The allocations and vesting schedules for each pool will be announced closer to IDO.

Bet Mining Rewards

Rather than just reward bets, ‘bet mining’ is an incentive to further distribute ownership of the platform to users, to help encourage adoption. Users will receive 3% of gross winnings in $LFI.

$LFI will be paid out on the last day of each week. The $LFI will be available to claim from the Governance tab within the LunaFi platform. Other incentives will run after this period and can be voted on from within the governance section.

$LFI Token

The community is at the heart of our project. LunaFI gives ownership of its platform directly to its end users through governance rights. The $LFI token serves multiple functions and conveys several rights within the LunaFi ecosystem;

Betting - $LFI will be awarded to users based on actual usage, fostering a sense of community and ownership with your peers.

Access - $LFI will provide holders and users access to special games, tournaments, products, and discounted commission structures on all house pools in the future.

Governance - Staking $LFI to receive $vLFI can be used as governance to submit proposals and vote. To find out more about our $vLFI yield generating token, click here.

Liquidity Incentives - $LFI will be distributed to all participants of the ecosystem including players, investors, and liquidity providers.

Fees - Developers using the LunaFi protocol pay fees in $LFI to build their dApps. With every bet accepted in a house pool, 1.5% of turnover is automatically claimed by the Treasury Contract. A breakdown of Distribution fees can be found here.

$LFI Staking Pool

Where do staking rewards come from?

The Lunabets Treasury charges 1.5% of each bet accepted by the liquidity pools, which is received to the treasury wallet and a proportion is sent to the $LFI staking pools. The contract acts as a House Pool pool & accepts bets in $LFI. You can stake vLFI into the LunaFi protocol to further increase gains through Yield Farming.

Over time, as the LFI token staking rewards become progressively smaller, the token price will increase in value, meaning protocol fees will grow to compensate stakers.

Where and how can I stake my LFI for vLFI? You can stake your LFI for vLFI by connecting your wallet, entering the amount, and approving the transaction within your digital wallet.

What is the current ROI for vLFI staking? You can check the ROI on the Governance tab. Please note that this value changes continuously due to fluctuating trading volumes in the House Pools and the number of LFI staked within the contract.

Why is my vLFI balance lower than my LFI balance? When you stake your LFI tokens, you “purchase” a share of the vLFI pool. Because vLFI appreciates in value compared to LFI. The amount of vLFI you get for your LFI decreases over time because the vLFI pool collects fees and $LFI bets.

Tokenomics

1 Billion tokens will be minted and will become accessible over the next 3 years:

Community

Treasury Wallet - 22.5% locked and released over a 3 year period to the Treasury DAO in equal monthly instalments with the aim of rewarding the Lunabets community and contributing to the progression of the project.

Liquidity Pool-6 % Initial liquidity will be provided on the decentralized exchange upon listing to promote initial transactions occurring without major disruption and price spikes. This liquidity will belong to the Treasury Wallet.

Public Sale & DEX Liquidity - 4% The amount of tokens available for sale via a Launchpad ahead of listing date. No vesting.

Staking Rewards -20% rewards will be released through the audited staking smart contracts via the Luna house pools as rewards are earned over the next 3 years

Team- 15% Tokens locked for 12 months and vests linearly over the next two years.

Advisors - 6% The primary investment in return for tokens which helped fund development and preliminary activities to support the launch of the project. These will be locked for 12 months from listing and distributed over the next two years.

Strategic Round - 10% Creating partnerships with industry leading venture capital firms to provide support for the long term vision and growth of the project. Tokens will be locked for 6 months and released over 12 months from listing.

Private Sale - 10% Further VC investment in return for tokens to further the progress of the project. Tokens will be locked for 6 months and rand distributed over the next two years.

Seed Investment - 6% The primary investment in return for tokens which helped fund development and preliminary activities to support the launch of the project. Tokens will be locked for 6 months and and distributed over the next two years.

How and Where to Buy LFI token?

You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.

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), Binance (BNB)…

☞ SIGN UP ON BINANCE

Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2022)

Once finished you will then need to make a BTC/ETH/USDT/BNB deposit to the exchange from Binance depending on the available market pairs. After the deposit is confirmed you may then purchase LFI from the exchange.

The top exchange for trading in LFI token is currently: ………

🔺DISCLAIMER: The Information in the post isn’t financial advice, is intended FOR GENERAL INFORMATION PURPOSES ONLY. Trading Cryptocurrency is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money.

🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner

Find more information LFI token ☞ Website

I hope this post will help you. Don't forget to leave a like, comment and sharing it with others. Thank you!

#bitcoin #cryptocurrency 

What is GEEK

Buddha Community

What is LunaFi (LFI) | What is LunaFi token | What is LFI token
Royce  Reinger

Royce Reinger

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.

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. 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.

Gem Version 

RubyDoc documentation.

Demo

Visit this website for one example of what you can do with WordsCounted.


Contributors

See contributors.

Contributing

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request

Author: Abitdodgy
Source Code: https://github.com/abitdodgy/words_counted 
License: MIT license

#ruby #nlp 

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.

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. 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

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request

Author: abitdodgy
Source code: https://github.com/abitdodgy/words_counted
License: MIT license

#ruby  #ruby-on-rails 

aaron silva

aaron silva

1622197808

SafeMoon Clone | Create A DeFi Token Like SafeMoon | DeFi token like SafeMoon

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Read More @ https://bit.ly/3oFbJoJ

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SafeMoon Clone | SafeMoon Token Clone | SafeMoon Token Clone Development

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Angelina roda

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How to Buy FEG Token - The EASIEST Method 2021. JUST IN A FEW MINUTES!!!

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