What is Puffydog Coin (PUFFY) | What is Puffydog Coin token | What is PUFFY token

In this article, we’ll discuss information about the Puffydog Coin project and PUFFY token

What is Puffy?

Puffydog Coin is a hyper deflationary coin that is build around the love of animals, cannabis and good music. The community is a place where you can build relationships, safely grow your money while raising awareness on the medicinal benefits of cannabis. Puffydog coin plans on create partnerships with target celebrity and building influence to raise awareness through charitable even. They also plan on donating to local animal shelters and sponsor adoption evens. It plans on creating a NFT space where new artist can launch their music and possible creating a dex.

** WHY? **

Marijuana has a rich history and high social acclaim as a plant of great spiritual power . The plant has been associated with ritual, religious, social, and medical customs in India for thousands of years. Marijuana is referred to as one of the five sacred plants suggested for freedom from anxiety in the Atharva Veda (circa 1400 BC), an ancient Indian text on healing. In 47 Countries its unprohibited,that is unacceptable. Compassion has called us to engage in civil disobedience because the current laws fail to make medicinal marijuana available for those in need.

What are Puffy’s Tokenomics

This token uses a unique Anti-whale Anti-bot feature, which limits bot activity and help to promote healthy growth. The tokenomics are that main reason for this and can be broken down as followed 4% percent for liquidity, 2% for auto burn, 2% to redistribution, and 2% to the marketing wallet. This token also limits the amount of coins able to be held to 10 trillion or 1% of the total supply in order to prevent whales from holding too many tokens. The tax of 10% can be broken up as followed static rewards, automatic LP acquisition, auto burn, and for the marketing wallet. Static rewards are proportionally shared over all PUFFY holders. Automatic LP acquisition applies a tax which is added to the LP this increase the LP and help to create price stability. The auto burn insures that the prices will steadily increase as the supply continues to decrease. Lastly the marketing/ charity wallet insure that there will always be fund available for any case.

Who are the founders of Puffy and How did It start? Puffydog Coin was created by a group of cryptocurrency investors from all around the world that have been in this space since 2017 and have even doxed themselves on Youtube. They came together on telegram and started initially because they were tired of being rugged. It slowly grew into something more and they were able to create a small community that wants to prevent this from happening to others. They focus their coin on the things they found important which was the love of animals, cannabis and good music.

Puffydog Coin launched its token on May 19, 2021 with 1 quadrillion (1,000,000,000,000,000) Puffy tokens. 10% of the total supply was paired with 140 BNB after presale and added to the PancakeSwap liquidity pool. 3.5% of the total supply was allocated to the team and subsequently locked for 2 months using a third-party provider. 1.5% of the total supply was allocated for future deals and marketing. To date a total of 76% of the initials supply of token have been burnt. This leaves about 24% remaining in marketing wallet, pancake swap and holders.

TOKENOMICS

PUFFYDOGCOIN $PUFFY$

$PUFFY

Total Supply: 1,000,000,000,000,000

10% transaction fee: Slippage 10%

BREAKDOWN

4% Liquidity

2% Redistribution for holders

2% Charity/ Marketing/Dev

2% Auto burn

BURNED TOKENS

Percentage for the tokens to be burned: 50%

SCHEDULED BURNED

Percentage for scheduled burned token: 10%

LEFTOVER SUPPLY

Supply listed for launch: 25%

PRE-SALE

Pre sale percentage amount of tokens: 10%

DEV WALLET

Marketing advertising & charity: 5%

TOKENOMICS

SAFETY MEASURES PROTOCOL

BURN

50% of supply will be burned

WITH-IN

1 Hour after launch

10% Locked for 7 Days then burned

CONTRACT RENOUNCED

Will occur after burn

LIQUIDITY

Will be locked after pre-sale on
DX-Sale 70% / 30% goes to Marketing
Liquidity/Locked:
Anti-whale feature (Cannot hold more than 1% Supply)

PRE-SALE INFORMATION

100 Trillion for pre-sale
2 BNB MAX
0.1 BNB MIN
200 BNB TOTAL

70% goes to liquidity
30% goes to marketing
50BNB SOFTCAP / 200BNB HARDCAP

Roadmap

Our Strategy and Plan

Phase 1

Hype Build-up & Marketing
Pre-Sale
Website launch
Project launch
Token Burn

Phase 2

Audit
Whitepaper
Marketing
Crypto & Hip Hop Influencers
Community Projects/Voice

Phase 3

1K-10K Holders
Exchange Listing
CMC/CG
Partnerships & Projects
Build $Puffy Community

Phase 4

$Puffy Merch
Puffydog’s Crypto Beat Battle
Social Media Giveaways
Puffydog Donations for Dogs
More Parnerships & Projects
Community Contests & more

How and Where to Buy PUFFY token ?

PUFFY token is now live on the Binance mainnet. The token address for PUFFY is 0x42873a833717753a8d77ad6d0a8710af2c66c052. 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.

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 PUFFY token

Contract: 0x42873a833717753a8d77ad6d0a8710af2c66c052

Find more information PUFFY

☞ Website ☞ Explorer ☞ Whitepaper ☞ Social Channel ☞ Social Channel 2 ☞ Coinmarketcap

🔺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)!

☞ **-----CLICK HERE-----**⭐ ⭐ ⭐

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

#blockchain #bitcoin #puffy #puffydog coin

What is GEEK

Buddha Community

What is Puffydog Coin (PUFFY) | What is Puffydog Coin token | What is PUFFY token

Crypto Like

1622527526

What is Puffydog Coin (PUFFY) | What is Puffydog Coin token | What is PUFFY token

In this article, we’ll discuss information about the Puffydog Coin project and PUFFY token

What is Puffy?

Puffydog Coin is a hyper deflationary coin that is build around the love of animals, cannabis and good music. The community is a place where you can build relationships, safely grow your money while raising awareness on the medicinal benefits of cannabis. Puffydog coin plans on create partnerships with target celebrity and building influence to raise awareness through charitable even. They also plan on donating to local animal shelters and sponsor adoption evens. It plans on creating a NFT space where new artist can launch their music and possible creating a dex.

** WHY? **

Marijuana has a rich history and high social acclaim as a plant of great spiritual power . The plant has been associated with ritual, religious, social, and medical customs in India for thousands of years. Marijuana is referred to as one of the five sacred plants suggested for freedom from anxiety in the Atharva Veda (circa 1400 BC), an ancient Indian text on healing. In 47 Countries its unprohibited,that is unacceptable. Compassion has called us to engage in civil disobedience because the current laws fail to make medicinal marijuana available for those in need.

What are Puffy’s Tokenomics

This token uses a unique Anti-whale Anti-bot feature, which limits bot activity and help to promote healthy growth. The tokenomics are that main reason for this and can be broken down as followed 4% percent for liquidity, 2% for auto burn, 2% to redistribution, and 2% to the marketing wallet. This token also limits the amount of coins able to be held to 10 trillion or 1% of the total supply in order to prevent whales from holding too many tokens. The tax of 10% can be broken up as followed static rewards, automatic LP acquisition, auto burn, and for the marketing wallet. Static rewards are proportionally shared over all PUFFY holders. Automatic LP acquisition applies a tax which is added to the LP this increase the LP and help to create price stability. The auto burn insures that the prices will steadily increase as the supply continues to decrease. Lastly the marketing/ charity wallet insure that there will always be fund available for any case.

Who are the founders of Puffy and How did It start? Puffydog Coin was created by a group of cryptocurrency investors from all around the world that have been in this space since 2017 and have even doxed themselves on Youtube. They came together on telegram and started initially because they were tired of being rugged. It slowly grew into something more and they were able to create a small community that wants to prevent this from happening to others. They focus their coin on the things they found important which was the love of animals, cannabis and good music.

Puffydog Coin launched its token on May 19, 2021 with 1 quadrillion (1,000,000,000,000,000) Puffy tokens. 10% of the total supply was paired with 140 BNB after presale and added to the PancakeSwap liquidity pool. 3.5% of the total supply was allocated to the team and subsequently locked for 2 months using a third-party provider. 1.5% of the total supply was allocated for future deals and marketing. To date a total of 76% of the initials supply of token have been burnt. This leaves about 24% remaining in marketing wallet, pancake swap and holders.

TOKENOMICS

PUFFYDOGCOIN $PUFFY$

$PUFFY

Total Supply: 1,000,000,000,000,000

10% transaction fee: Slippage 10%

BREAKDOWN

4% Liquidity

2% Redistribution for holders

2% Charity/ Marketing/Dev

2% Auto burn

BURNED TOKENS

Percentage for the tokens to be burned: 50%

SCHEDULED BURNED

Percentage for scheduled burned token: 10%

LEFTOVER SUPPLY

Supply listed for launch: 25%

PRE-SALE

Pre sale percentage amount of tokens: 10%

DEV WALLET

Marketing advertising & charity: 5%

TOKENOMICS

SAFETY MEASURES PROTOCOL

BURN

50% of supply will be burned

WITH-IN

1 Hour after launch

10% Locked for 7 Days then burned

CONTRACT RENOUNCED

Will occur after burn

LIQUIDITY

Will be locked after pre-sale on
DX-Sale 70% / 30% goes to Marketing
Liquidity/Locked:
Anti-whale feature (Cannot hold more than 1% Supply)

PRE-SALE INFORMATION

100 Trillion for pre-sale
2 BNB MAX
0.1 BNB MIN
200 BNB TOTAL

70% goes to liquidity
30% goes to marketing
50BNB SOFTCAP / 200BNB HARDCAP

Roadmap

Our Strategy and Plan

Phase 1

Hype Build-up & Marketing
Pre-Sale
Website launch
Project launch
Token Burn

Phase 2

Audit
Whitepaper
Marketing
Crypto & Hip Hop Influencers
Community Projects/Voice

Phase 3

1K-10K Holders
Exchange Listing
CMC/CG
Partnerships & Projects
Build $Puffy Community

Phase 4

$Puffy Merch
Puffydog’s Crypto Beat Battle
Social Media Giveaways
Puffydog Donations for Dogs
More Parnerships & Projects
Community Contests & more

How and Where to Buy PUFFY token ?

PUFFY token is now live on the Binance mainnet. The token address for PUFFY is 0x42873a833717753a8d77ad6d0a8710af2c66c052. 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.

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 PUFFY token

Contract: 0x42873a833717753a8d77ad6d0a8710af2c66c052

Find more information PUFFY

☞ Website ☞ Explorer ☞ Whitepaper ☞ Social Channel ☞ Social Channel 2 ☞ Coinmarketcap

🔺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)!

☞ **-----CLICK HERE-----**⭐ ⭐ ⭐

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

#blockchain #bitcoin #puffy #puffydog coin

Mohammed Richards

1659601560

Words Counted: A Ruby Natural Language Processor.

WordsCounted

We are all in the gutter, but some of us are looking at the stars.
-- Oscar Wilde

WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.

Are you using WordsCounted to do something interesting? Please tell me about it.

Demo

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

Features

Out of the box, get the following data from any string or readable file, or URL:
- Token count and unique token count
- Token densities, frequencies, and lengths
- Char count and average chars per token
- The longest tokens and their lengths
- The most frequent tokens and their frequencies.
A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as ["Bayrūt"] and not ["Bayr", "ū", "t"], for example.
Opens and reads files. Pass in a file path or a url instead of a string.

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

Pass in a string or a file path, and an optional filter and/or regexp.

counter = WordsCounted.count(
  "We are all in the gutter, but some of us are looking at the stars."
)

# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")

.count and .from_file are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter initialized with the tokens. The WordsCounted::Tokeniser and WordsCounted::Counter classes can be used alone, however.

API

WordsCounted

WordsCounted.count(input, options = {})

Tokenises input and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.count("Hello Beirut!")

Accepts two options: exclude and regexp. See Excluding tokens from the analyser and Passing in a custom regexp respectively.

WordsCounted.from_file(path, options = {})

Reads and tokenises a file, and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.from_file("hello_beirut.txt")

Accepts the same options as .count.

Tokeniser

The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.

Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.

#tokenise([pattern: TOKEN_REGEXP, exclude: nil])

tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise

# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")

# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)

See Excluding tokens from the analyser and Passing in a custom regexp for more information.

Counter

The WordsCounted::Counter class allows you to collect various statistics from an array of tokens.

#token_count

Returns the token count of a given string.

counter.token_count #=> 15

#token_frequency

Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.

counter.token_frequency

[
  ["the", 2],
  ["are", 2],
  ["we",  1],
  # ...
  ["all", 1]
]

#most_frequent_tokens

Returns a hash where each key-value pair is a token and its frequency.

counter.most_frequent_tokens

{ "are" => 2, "the" => 2 }

#token_lengths

Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.

counter.token_lengths

[
  ["looking", 7],
  ["gutter",  6],
  ["stars",   5],
  # ...
  ["in",      2]
]

#longest_tokens

Returns a hash where each key-value pair is a token and its length.

counter.longest_tokens

{ "looking" => 7 }

#token_density([ precision: 2 ])

Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision argument, which must be a float.

counter.token_density

[
  ["are",     0.13],
  ["the",     0.13],
  ["but",     0.07 ],
  # ...
  ["we",      0.07 ]
]

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.

A space-delimited string. The filter will normalise the string.
A regular expression.
A lambda.
A symbol that names a predicate method. For example :odd?.
An array of any combination of the above.

tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]

# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]

# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]

# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]

# Using an array
tokeniser = WordsCounted::Tokeniser.new(
  "Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
  exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]

Passing in a custom regexp

The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.

/[\p{Alpha}\-']+/

You can pass your own criteria as a Ruby regular expression to split your string as desired.

For example, if you wanted to include numbers, you can override the regular expression:

counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]

Opening and reading files

Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.

counter = WordsCounted.from_file("url/or/path/to/file.text")

Gotchas

A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.

counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency

[
  ["do",   2],
  ["how",  1],
  ["you",  1],
  ["-you", 1], # WTF, mate!
  ["are",  1],
  # ...
]

In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.

A note on case sensitivity

The program will normalise (downcase) all incoming strings for consistency and filters.

Roadmap

Ability to open URLs

def self.from_url
  # open url and send string here after removing html
end

Contributors

See contributors.

Contributing

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

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

#ruby #ruby-on-rails

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.

A space-delimited string. The filter will normalise the string.
A regular expression.
A lambda.
A symbol that names a predicate method. For example :odd?.
An array of any combination of the above.

tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]

# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]

# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]

# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]

# Using an array
tokeniser = WordsCounted::Tokeniser.new(
  "Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
  exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]

Passing in a custom regexp

The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.

/[\p{Alpha}\-']+/

You can pass your own criteria as a Ruby regular expression to split your string as desired.

For example, if you wanted to include numbers, you can override the regular expression:

counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]

Opening and reading files

Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.

counter = WordsCounted.from_file("url/or/path/to/file.text")

Gotchas

A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.

counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency

[
  ["do",   2],
  ["how",  1],
  ["you",  1],
  ["-you", 1], # WTF, mate!
  ["are",  1],
  # ...
]

In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.

A note on case sensitivity

The program will normalise (downcase) all incoming strings for consistency and filters.

Roadmap

Ability to open URLs

def self.from_url
  # open url and send string here after removing html
end

Are you using WordsCounted to do something interesting? Please tell me about it.

RubyDoc documentation.

Demo

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

Contributors

See contributors.

Contributing

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

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

#ruby #nlp

aaron silva

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What is Puffy?

What are Puffy’s Tokenomics

**TOKENOMICS **

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How and Where to Buy PUFFY token ?

What is GEEK

Buddha Community

What is Puffydog Coin (PUFFY) | What is Puffydog Coin token | What is PUFFY token

What is Puffy?

What are Puffy’s Tokenomics

**TOKENOMICS **

**TOKENOMICS **

How and Where to Buy PUFFY token ?

Words Counted: A Ruby Natural Language Processor.

WordsCounted

Demo

Features

Installation

Usage

API

WordsCounted

Tokeniser

Counter

Excluding tokens from the tokeniser

Passing in a custom regexp

Opening and reading files

Gotchas

A note on case sensitivity

Roadmap

Ability to open URLs

Contributors

Contributing

WordsCounted: A Ruby Natural Language Processor

Features

Installation

Usage

API

WordsCounted

Tokeniser

Counter

Excluding tokens from the tokeniser

Passing in a custom regexp

Opening and reading files

Gotchas

A note on case sensitivity

Roadmap

Ability to open URLs

Demo

Contributing

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

SHIBA INU COIN | SHIBA INU TOKEN EXPLAINED AND HOW TO BUY SHIBA INU COIN? SHIBA PREDICTION

TOKENOMICS

TOKENOMICS

TOKENOMICS

TOKENOMICS