What is PepeMoon (PEPE) | What is PepeMoon token | What is PEPE token

In this article, we’ll discuss information about the PepeMoon project and PEPE token

PepeMoon Protocol PepeMoon employs 3 simple functions: Redistribution + LP acquisition + Burn In each trade, the transaction is taxed a 8% fee, which is split 3 ways. 4% fee = Redistributed to all existing holders for Auto Staking. 2% fee = Burned by the Staking proceedings of the Burner Address making PepeMoon deflationary. 2% fee = Auto Staking Yield Governance Fund that ensures that the tokens are sold gradually and put on PancakeSwap to add Liquidity in BNB pair.

PepeMoon Vision Pepemoon NFT marketplace: The Pepemoon NFT marketplace will encourage users to buy and sell NFTs using Pepemoon by giving them incentives such as exclusive NFTs which can only be bought with Pepemoon. We will work on exclusive contracts with well-known artists and designers to only use Pepemoon in order to sell their art. Pepemoon payments terminal: Any merchant can accept Pepemoon (and other cryptos) by using our payments gateway, they can choose to either liquidate or hold the Pepemoon they receive, (if liquidated, it will be funded by our cash reserves and we might hold the Pepemoon as reserves, rebalancing of USD cash reserves and Pepemoon will take place in small pieces to counter sell pressure (if any). 50% of all profits of the NFT marketplace and Pepemoon Payments gateway will be fully invested in Pepemoon buybacks and burned to 100% at the end of each every month. (A fully detailed report will be released along with the burned tokens txid)

A common misconception with the heavy APY average is the subjectivity of the impermanent loss from staking an LP (liquidity provider) in a farming reward generator. With the explosion of DeFi we have seen too many new cryptocurrency prospectors get sucked into high APY LP-farming traps that lead to a sour taste in the end. With Pepemoon you are ensured that you receive your staking yields in form of tokens on every transaction that happens in our blockchain. Grow wealthy the Pepe Boss way!

How are Static Rewards distributed ?

Static Rewards in our blockchain basically are paid instantly on every transaction that is facilitated within where the proceedings of the generated fees from our deflationary system are split evenly depending on your stake of tokens you hold. This system rewards early $PEPE holders and ensures their smooth sailing to Wealth.

Automatic Burns

Due to us committing 25% of the total supply to be sent on a burner address the staking proceedings by holding PepeMoon are automatically burned as the burner address will keep growing its initial stake ensuring that PepeMoon remains deflationary.

Automatic Liquidity Pool (LP)

Automatic LP is one of the perks of PepeMoon. Here we have a function that acts as a two-fold beneficial system for holders. First, the contract yields tokens from Sellers and Buyers alike, and adds them to the LP creating a solid price floor. Second, the penalty acts as an arbitrage resistant mechanism that secures the volume of PepeMoon as a reward for the holders. In theory, the added LP creates a stability in price. As the PepeMoon token LP increases, the price stability mirrors this function with the benefit of a solid price floor and cushion for holders. The goal here is to prevent the larger dips when whales decide to sell their tokens later in the game, which keeps the price from fluctuating as much as if there was no automatic LP function.

Tokenomics

**Total Supply: **100,000,000,000
Burned Dev Tokens:  25,000,000,000
Fair Launch Supply:  75,000,000,000

PepeMoon Protocol

PepeMoon employs 3 simple functions: Redistribution + LP acquisition + Burn In each trade, the transaction is taxed a 8% fee, which is split 3 ways.

  • 4% fee = Redistributed to all existing holders for Auto Staking.
  • 2% fee = Burned by the Staking proceedings of the Burner Address making PepeMoon deflationary.
  • 2% fee = Auto Staking Yield Governance Fund that ensures that the tokens are sold gradually and put on PancakeSwap to add Liquidity in BNB pair.

PepeMoon Vision

Pepemoon NFT marketplace:

The Pepemoon NFT marketplace will encourage users to buy and sell NFTs using Pepemoon by giving them incentives such as exclusive NFTs which can only be bought with Pepemoon. We will work on exclusive contracts with well-known artists and designers to only use Pepemoon in order to sell their art.

Pepemoon payments terminal:

Any merchant can accept Pepemoon (and other cryptos) by using our payments gateway, they can choose to either liquidate or hold the Pepemoon they receive, (if liquidated, it will be funded by our cash reserves and we might hold the Pepemoon as reserves, rebalancing of USD cash reserves and Pepemoon will take place in small pieces to counter sell pressure (if any).

50% of all profits of the NFT marketplace and Pepemoon Payments gateway will be fully invested in Pepemoon buybacks and burned to 100% at the end of each every month. (A fully detailed report will be released along with the burned tokens txid)

How and Where to Buy PEPE token ?

PEPE token is now live on the Binance mainnet. The token address for PEPE is 0xa5ac8f8e90762380cce6c16aba17ed6d2cf75888. Be cautious not to purchase any other token with a smart contract different from this one (as this can be easily faked). We strongly advise to be vigilant and stay safe throughout the launch. Don’t let the excitement get the best of you.

Just be sure you have enough BNB in your wallet to cover the transaction fees.

Join To Get BNB (Binance Coin)! ☞ CLICK HERE

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 2021)

Next step

You need a wallet address to Connect to Pancakeswap Decentralized Exchange, we use Metamask wallet

If you don’t have a Metamask wallet, read this article and follow the steps

What is Metamask wallet | How to Create a wallet and Use

Transfer $BNB to your new Metamask wallet from your existing wallet

Next step

Connect Metamask Wallet to Pancakeswap Decentralized Exchange and Buy, Swap PEPE token

Contract: 0xa5ac8f8e90762380cce6c16aba17ed6d2cf75888

Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap

The top exchange for trading in PEPE token is currently Pancakeswap v2

Find more information PEPE

WebsiteExplorerWhitepaperSocial ChannelSocial Channel 2Coinmarketcap

🔺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

⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!

☞ **-----https://geekcash.org-----**⭐ ⭐ ⭐

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

#blockchain #bitcoin #pepe #pepemoon

What is GEEK

Buddha Community

What is PepeMoon (PEPE) | What is PepeMoon token | What is PEPE token

What is PepeMoon (PEPE) | What is PepeMoon token | What is PEPE token

In this article, we’ll discuss information about the PepeMoon project and PEPE token

PepeMoon Protocol PepeMoon employs 3 simple functions: Redistribution + LP acquisition + Burn In each trade, the transaction is taxed a 8% fee, which is split 3 ways. 4% fee = Redistributed to all existing holders for Auto Staking. 2% fee = Burned by the Staking proceedings of the Burner Address making PepeMoon deflationary. 2% fee = Auto Staking Yield Governance Fund that ensures that the tokens are sold gradually and put on PancakeSwap to add Liquidity in BNB pair.

PepeMoon Vision Pepemoon NFT marketplace: The Pepemoon NFT marketplace will encourage users to buy and sell NFTs using Pepemoon by giving them incentives such as exclusive NFTs which can only be bought with Pepemoon. We will work on exclusive contracts with well-known artists and designers to only use Pepemoon in order to sell their art. Pepemoon payments terminal: Any merchant can accept Pepemoon (and other cryptos) by using our payments gateway, they can choose to either liquidate or hold the Pepemoon they receive, (if liquidated, it will be funded by our cash reserves and we might hold the Pepemoon as reserves, rebalancing of USD cash reserves and Pepemoon will take place in small pieces to counter sell pressure (if any). 50% of all profits of the NFT marketplace and Pepemoon Payments gateway will be fully invested in Pepemoon buybacks and burned to 100% at the end of each every month. (A fully detailed report will be released along with the burned tokens txid)

A common misconception with the heavy APY average is the subjectivity of the impermanent loss from staking an LP (liquidity provider) in a farming reward generator. With the explosion of DeFi we have seen too many new cryptocurrency prospectors get sucked into high APY LP-farming traps that lead to a sour taste in the end. With Pepemoon you are ensured that you receive your staking yields in form of tokens on every transaction that happens in our blockchain. Grow wealthy the Pepe Boss way!

How are Static Rewards distributed ?

Static Rewards in our blockchain basically are paid instantly on every transaction that is facilitated within where the proceedings of the generated fees from our deflationary system are split evenly depending on your stake of tokens you hold. This system rewards early $PEPE holders and ensures their smooth sailing to Wealth.

Automatic Burns

Due to us committing 25% of the total supply to be sent on a burner address the staking proceedings by holding PepeMoon are automatically burned as the burner address will keep growing its initial stake ensuring that PepeMoon remains deflationary.

Automatic Liquidity Pool (LP)

Automatic LP is one of the perks of PepeMoon. Here we have a function that acts as a two-fold beneficial system for holders. First, the contract yields tokens from Sellers and Buyers alike, and adds them to the LP creating a solid price floor. Second, the penalty acts as an arbitrage resistant mechanism that secures the volume of PepeMoon as a reward for the holders. In theory, the added LP creates a stability in price. As the PepeMoon token LP increases, the price stability mirrors this function with the benefit of a solid price floor and cushion for holders. The goal here is to prevent the larger dips when whales decide to sell their tokens later in the game, which keeps the price from fluctuating as much as if there was no automatic LP function.

Tokenomics

**Total Supply: **100,000,000,000
Burned Dev Tokens:  25,000,000,000
Fair Launch Supply:  75,000,000,000

PepeMoon Protocol

PepeMoon employs 3 simple functions: Redistribution + LP acquisition + Burn In each trade, the transaction is taxed a 8% fee, which is split 3 ways.

  • 4% fee = Redistributed to all existing holders for Auto Staking.
  • 2% fee = Burned by the Staking proceedings of the Burner Address making PepeMoon deflationary.
  • 2% fee = Auto Staking Yield Governance Fund that ensures that the tokens are sold gradually and put on PancakeSwap to add Liquidity in BNB pair.

PepeMoon Vision

Pepemoon NFT marketplace:

The Pepemoon NFT marketplace will encourage users to buy and sell NFTs using Pepemoon by giving them incentives such as exclusive NFTs which can only be bought with Pepemoon. We will work on exclusive contracts with well-known artists and designers to only use Pepemoon in order to sell their art.

Pepemoon payments terminal:

Any merchant can accept Pepemoon (and other cryptos) by using our payments gateway, they can choose to either liquidate or hold the Pepemoon they receive, (if liquidated, it will be funded by our cash reserves and we might hold the Pepemoon as reserves, rebalancing of USD cash reserves and Pepemoon will take place in small pieces to counter sell pressure (if any).

50% of all profits of the NFT marketplace and Pepemoon Payments gateway will be fully invested in Pepemoon buybacks and burned to 100% at the end of each every month. (A fully detailed report will be released along with the burned tokens txid)

How and Where to Buy PEPE token ?

PEPE token is now live on the Binance mainnet. The token address for PEPE is 0xa5ac8f8e90762380cce6c16aba17ed6d2cf75888. Be cautious not to purchase any other token with a smart contract different from this one (as this can be easily faked). We strongly advise to be vigilant and stay safe throughout the launch. Don’t let the excitement get the best of you.

Just be sure you have enough BNB in your wallet to cover the transaction fees.

Join To Get BNB (Binance Coin)! ☞ CLICK HERE

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 2021)

Next step

You need a wallet address to Connect to Pancakeswap Decentralized Exchange, we use Metamask wallet

If you don’t have a Metamask wallet, read this article and follow the steps

What is Metamask wallet | How to Create a wallet and Use

Transfer $BNB to your new Metamask wallet from your existing wallet

Next step

Connect Metamask Wallet to Pancakeswap Decentralized Exchange and Buy, Swap PEPE token

Contract: 0xa5ac8f8e90762380cce6c16aba17ed6d2cf75888

Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap

The top exchange for trading in PEPE token is currently Pancakeswap v2

Find more information PEPE

WebsiteExplorerWhitepaperSocial ChannelSocial Channel 2Coinmarketcap

🔺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

⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!

☞ **-----https://geekcash.org-----**⭐ ⭐ ⭐

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

#blockchain #bitcoin #pepe #pepemoon

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 

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 

aaron silva

aaron silva

1622197808

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

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