What is Wault Finance (WAULT) | What is Wault Finance token | What is WAULT token

About Wault Finance

Wault Finance is a decentralised finance project that aim to connect all the DEFI dots into one ecosystem. Wault Finance is dedicated to making an effective and user-friendly yield generator and lending aggregator. The decisions for the protocol development will be governed by the WAULT holders. Every developer is welcome to work and contribute to our open source codes.

WAULT token features

Transaction Tax Rate

There will be a 3% transaction tax rate which will be shared between our Liquidity Providers, Wault Stakers, our Marketing Fund and Token Holders. This means that 3% of the amount of every transfer will go back to the people holding and staking WAULT.

This will give further incentive for people to stake WAULT.

These 3% tax rate will be divided in the following way:
1.2% will go to the Liquidity Mining contract.
0.5% will go to the Staking Pools
0.8% will go to the Token Holders.
0.5% will go to the Marketing Fund.

Supply Management

Wault will have a maximum Supply of 1 000 000 tokens. There can’t be minted more tokens.

Token Metrics and Distribution

  • Initial Supply — 500 000 WAULT will be produced in the deployment of the contract.

160 000 WAULT — Private Sale (32%)
80 000 WAULT — Presale (16%)
40 000 WAULT — Marketing Treasury (8%)
30 000 WAULT — Team Tokens (Locked For 3 Months) (6%)
20 000 WAULT — Bug Bounties. Anyone, who finds and reports a bug, will be rewarded. (4%)
50 000 WAULT — Exchange Market Maker Tokens (10%)

120 000 WAULT — Initial Liquidity for PancakeSwap (24%)

Image for post

  • _Liquidity Mining Supply _— 500 000 WAULT Locked in the Liquidity Mining Contract.

Liquidity Mining of WAULT tokens will be available for the first several months, in order for them to be distributed well around the users of the platform. The initial Reward/Block rate will be (4) and it will be reduced by 50% every 10 days.

Pools Available for mining — In order to keep the price high and not let farmers leach the Wault liquidity, only 2 pools will be introduced:

WAULT/BNB pair — 80% of the rewards

Liquidity mining and token distribution

Image for post

There will be 1.2% of all the transfers that will go to the Liquidity Mining pool. That means that even after the total Supply of 1 million tokens is distributed the Liquidity Mining will continue.

Wault Finance Presale

Following the successful completion of our private sale with strategic partners, reaching our 60 ETH hardcap — we are excited to announce that our presale will commence on February 19th, 2021 at 4PM UTC.

Please read the following details carefully, with respect to the presale conditions:

Wault Finance — Presale Whitelist information.

  • There will be a short quiz regarding Wault Finance which you need to answer
  • Whitelist application will close after the first 500 applications
  • 120 addresses will get whitelisted
  • 120 Addresses will be chosen by lottery principle
  • People will need to follow our Twitter Page :
  • https://twitter.com/Wault_Finance

Wault Finance Whitelist Application is open now!

To join our Public Presale, please fill the Application!!: ( shorturl.at/lCEHS**)**

Wault Finance Presale information

  • Hardcap —_ 400 BNB_
  • Max contribution :_ 5 BNB_ per wallet
  • Presale Price : 5 **_BNB = 1000 _**Wault Tokens
  • The presale will be held on BSC mainnet via a smart contract
  • Only those whitelisted addresses can interact with the smart contract
  • People will have to **_interact with the website _**to purchase during Presale
  • Contract **_will not accept more than 5 _**amount of BNB
  • People will have to**_ claim their tokens at the time of listing_** via our website
  • A tutorial of purchasing and claiming Wault Tokens will be upcoming.

Looking for more information…

☞ Website ☞ Announcement ☞ Explorer ☞ Explorer 2 ☞ Whitepaper ☞ Source Code ☞ Social Channel ☞ Social Channel 2 ☞ Social Channel 3 ☞ Message Board ☞ Message Board 2 ☞ Documentation ☞ Coinmarketcap

Would you like to earn WAULT right now! ☞ [CLICK HERE](https://www.binance.com/en/register?ref=28551372 “CLICK HERE”)

Top exchanges for token-coin trading. Follow instructions and make unlimited money

BinanceBittrexPoloniexBitfinexHuobiMXC

Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!

#bitcoin #crypto #wault finance #wault

What is GEEK

Buddha Community

What is Wault Finance (WAULT) | What is Wault Finance token | What is WAULT token

What is Wault Finance (WAULT) | What is Wault Finance token | What is WAULT token

About Wault Finance

Wault Finance is a decentralised finance project that aim to connect all the DEFI dots into one ecosystem. Wault Finance is dedicated to making an effective and user-friendly yield generator and lending aggregator. The decisions for the protocol development will be governed by the WAULT holders. Every developer is welcome to work and contribute to our open source codes.

WAULT token features

Transaction Tax Rate

There will be a 3% transaction tax rate which will be shared between our Liquidity Providers, Wault Stakers, our Marketing Fund and Token Holders. This means that 3% of the amount of every transfer will go back to the people holding and staking WAULT.

This will give further incentive for people to stake WAULT.

These 3% tax rate will be divided in the following way:
1.2% will go to the Liquidity Mining contract.
0.5% will go to the Staking Pools
0.8% will go to the Token Holders.
0.5% will go to the Marketing Fund.

Supply Management

Wault will have a maximum Supply of 1 000 000 tokens. There can’t be minted more tokens.

Token Metrics and Distribution

  • Initial Supply — 500 000 WAULT will be produced in the deployment of the contract.

160 000 WAULT — Private Sale (32%)
80 000 WAULT — Presale (16%)
40 000 WAULT — Marketing Treasury (8%)
30 000 WAULT — Team Tokens (Locked For 3 Months) (6%)
20 000 WAULT — Bug Bounties. Anyone, who finds and reports a bug, will be rewarded. (4%)
50 000 WAULT — Exchange Market Maker Tokens (10%)

120 000 WAULT — Initial Liquidity for PancakeSwap (24%)

Image for post

  • _Liquidity Mining Supply _— 500 000 WAULT Locked in the Liquidity Mining Contract.

Liquidity Mining of WAULT tokens will be available for the first several months, in order for them to be distributed well around the users of the platform. The initial Reward/Block rate will be (4) and it will be reduced by 50% every 10 days.

Pools Available for mining — In order to keep the price high and not let farmers leach the Wault liquidity, only 2 pools will be introduced:

WAULT/BNB pair — 80% of the rewards

Liquidity mining and token distribution

Image for post

There will be 1.2% of all the transfers that will go to the Liquidity Mining pool. That means that even after the total Supply of 1 million tokens is distributed the Liquidity Mining will continue.

Wault Finance Presale

Following the successful completion of our private sale with strategic partners, reaching our 60 ETH hardcap — we are excited to announce that our presale will commence on February 19th, 2021 at 4PM UTC.

Please read the following details carefully, with respect to the presale conditions:

Wault Finance — Presale Whitelist information.

  • There will be a short quiz regarding Wault Finance which you need to answer
  • Whitelist application will close after the first 500 applications
  • 120 addresses will get whitelisted
  • 120 Addresses will be chosen by lottery principle
  • People will need to follow our Twitter Page :
  • https://twitter.com/Wault_Finance

Wault Finance Whitelist Application is open now!

To join our Public Presale, please fill the Application!!: ( shorturl.at/lCEHS**)**

Wault Finance Presale information

  • Hardcap —_ 400 BNB_
  • Max contribution :_ 5 BNB_ per wallet
  • Presale Price : 5 **_BNB = 1000 _**Wault Tokens
  • The presale will be held on BSC mainnet via a smart contract
  • Only those whitelisted addresses can interact with the smart contract
  • People will have to **_interact with the website _**to purchase during Presale
  • Contract **_will not accept more than 5 _**amount of BNB
  • People will have to**_ claim their tokens at the time of listing_** via our website
  • A tutorial of purchasing and claiming Wault Tokens will be upcoming.

Looking for more information…

☞ Website ☞ Announcement ☞ Explorer ☞ Explorer 2 ☞ Whitepaper ☞ Source Code ☞ Social Channel ☞ Social Channel 2 ☞ Social Channel 3 ☞ Message Board ☞ Message Board 2 ☞ Documentation ☞ Coinmarketcap

Would you like to earn WAULT right now! ☞ [CLICK HERE](https://www.binance.com/en/register?ref=28551372 “CLICK HERE”)

Top exchanges for token-coin trading. Follow instructions and make unlimited money

BinanceBittrexPoloniexBitfinexHuobiMXC

Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!

#bitcoin #crypto #wault finance #wault

Angelina roda

Angelina roda

1624219980

How to Buy NFT Art Finance Token - The EASIEST METHOD! DO NOT MISS!!! JUST IN 4 MINUTES

NFT Art Finance is currently one of the most popular cryptocurrencies right now on the market, so in today’s video, I will be showing you guys how to easily buy NFT Art Finance on your phone using the Trust Wallet application.
📺 The video in this post was made by More LimSanity
The origin of the article: https://www.youtube.com/watch?v=sKE6Pc_w1IE
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading 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)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#bitcoin #blockchain #nft art finance token #token #buy nft art finance #how to buy nft art finance token - the easiest method!

David mr

David mr

1624312800

SPORE FINANCE PREDICTION - WHAT IS SPORE FINANCE & SPORE FINANCE ANALYSIS - SPORE FINANCE

SPORE FINANCE PREDICTION - WHAT IS SPORE FINANCE & SPORE FINANCE ANALYSIS - SPORE FINANCE

In this video, I talk about spore finance coin and give my spore finance prediction. I talk about the latest spore finance analysis & spore finance crypto coin that recently has been hit pretty hard in the last 24 hours. I go over what is spore finance and how many holders are on this new crypto coin spore finance.
📺 The video in this post was made by Josh’s Finance
The origin of the article: https://www.youtube.com/watch?v=qbPQvdxCtEI
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading 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)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#bitcoin #blockchain #spore finance #what is spore finance #spore finance prediction - what is spore finance & spore finance analysis - spore finance #spore finance prediction

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