1626831112
What is Baby Cake (BABYCAKE) | What is Baby Cake token | What is BABYCAKE token
In this article, we’ll discuss information about the Baby Cake project and BABYCAKE token
BABYCAKE is the first CAKE reflection token. BABYCAKE is the next evolution of a yield-generating contract on the Binance Smart Chain (BSC): you get rewarded in CAKE instead of tokens. The mechanism incentivizes token holders to hold in order to earn dividends from the transactions (buys and sells).
What Our Community Thinks
Redistribution is based on percentage (in the contract), current token balance and number of holders. You receive more tokens automatically.
The token contract employs a static rewards system of 15% of every transaction split in three : 7% CAKE redistribution + 3% Liquidity pool + 5% allocated to Marketing.
7% Redistribution In CAKE: 7% of every buy/sell is taken and redistributed to all holders. Minimum 200,000 tokens.
Auto Paid Every 60 Minutes: Holders don’t need to claim their earned CAKE. It’s automatically sent to the wallets every 60 minutes.
BNB Smart distribution: For the first time ever, the holders don’t need to buy tokens to be able to receive their rewarded tokens on their wallets.
3% Auto Liquidity Pool: 3% of every transaction is transformed into liquidity for Pancakeswap. It’s automatic and helps create a price floor (stability).
Anti-Swing feature: Extra 1% fee is applied to all sells. This will allow us to reduce swing-trading and break whales’ control. Total sell fee = 16% (7% CAKE redistribution + 3% Liquidity pool + 5% Marketing/Buyback).
Secured By Design: Initial Liquidity Provided and Team tokens (5%) are locked with DXSALE for more than 6 months.
Marketing Fees: 5% of every transaction is allocated to Marketing in CAKE (swapped to CAKE in real time to avoid dumps). So we can fuel the most ambitious projects and reward our active community, on a daily basis.
Smart distribution mechanism: - The contract keeps track in an array of all token holders. - The contract keeps an index into the array for processing. - Every transaction processes a certain number of users, depending on the transaction size (bigger token transfers can process more, since the gas will still be proportionally less than the value of the tokens). -The token is based on a Dividend-Paying Token Standard, which means all CAKE the contract gains will be split equally proportionally to the token holders. -When a user is processed, the contract checks how many withdrawable dividends they have, and if it is above the minimum threshold for auto-claims, will either automatically claim those dividends for CAKE, or automatically buy back tokens for them. -This system is fully automated and doesn’t add minimal gas fees proportional to value transferred. -The number of holders processed through each transaction is dynamic and based on transaction size. -Holders will receive dividends from the queue based on their position in the array. It’s a fair system, fully automated.
Token Metrics
Fair Launched - Zero Bots
No Private Sale
No Whitelist
No Pre-sale
Transaction Fees
Buy & Sell Tax: 15%
7% is used to purchase CAKE which is automatically paid out in dividends to holders
5% is split between the buy back mechanism and the team/marketing fund. Marketing Fund which is 1.5% can be used in extreme circumstances to correct market volatility.
Liquidity Locked: 100% - Unlock Date : 1 Year
Total Supply: 100 000 000 000
Earn Cake Passively by Holding BabyCake!!
The Normal Questions
Will my rewards always be paid hourly?
Our unique reward system is triggered by volume (buy + sell activity to cover gas fees)
Pay-outs to holders may not occur every hour if trading volume is low. When this is the case, the amount of rewarded CAKE each holder will receive does not decrease
However, will accrue over a longer period of time until it is suitable for a pay-out to trigger (usually a few hours)
Will the Baby Cake team be doxxing?
Baby Cake Co-Founder, Monk, will be Doxxing at $100M
Furthermore, initial liquidity provided will be locked with DxSale for more than 6 months. And the contract is being audited by HASHEX & CertiK (In progress).
Is there a minimum amount of $BABYCAKE tokens needed?
At this stage, there is no minimum of $BABYCAKE tokens needed by each holder
If you want to benefit from the CAKE reward distribution you will have to hold at least
200,000 $BABYCAKE tokens
How can I contact the team?
The best way to contact the team is through our telegram here BabyCakeTG
We are always available to help you
How and Where to Buy BABYCAKE token?
BABYCAKE token is now live on the Binance mainnet. The token address for BABYCAKE is 0xdb8d30b74bf098af214e862c90e647bbb1fcc58c. 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)…
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 BABYCAKE token
Contract: 0xdb8d30b74bf098af214e862c90e647bbb1fcc58c
Source : Tario Sultan
Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap
The top exchange for trading in BABYCAKE token is currently Pancakeswap v2
Find more information BABYCAKE
☞ 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)!
☞ **-----https://geekcash.org-----**⭐ ⭐ ⭐
Thank for visiting and reading this article! Please don’t forget to leave a like, comment and share!
#blockchain #bitcoin #babycake #baby cake
What is GEEK
Buddha Community
1626831112
What is Baby Cake (BABYCAKE) | What is Baby Cake token | What is BABYCAKE token
In this article, we’ll discuss information about the Baby Cake project and BABYCAKE token
BABYCAKE is the first CAKE reflection token. BABYCAKE is the next evolution of a yield-generating contract on the Binance Smart Chain (BSC): you get rewarded in CAKE instead of tokens. The mechanism incentivizes token holders to hold in order to earn dividends from the transactions (buys and sells).
What Our Community Thinks
Redistribution is based on percentage (in the contract), current token balance and number of holders. You receive more tokens automatically.
The token contract employs a static rewards system of 15% of every transaction split in three : 7% CAKE redistribution + 3% Liquidity pool + 5% allocated to Marketing.
7% Redistribution In CAKE: 7% of every buy/sell is taken and redistributed to all holders. Minimum 200,000 tokens.
Auto Paid Every 60 Minutes: Holders don’t need to claim their earned CAKE. It’s automatically sent to the wallets every 60 minutes.
BNB Smart distribution: For the first time ever, the holders don’t need to buy tokens to be able to receive their rewarded tokens on their wallets.
3% Auto Liquidity Pool: 3% of every transaction is transformed into liquidity for Pancakeswap. It’s automatic and helps create a price floor (stability).
Anti-Swing feature: Extra 1% fee is applied to all sells. This will allow us to reduce swing-trading and break whales’ control. Total sell fee = 16% (7% CAKE redistribution + 3% Liquidity pool + 5% Marketing/Buyback).
Secured By Design: Initial Liquidity Provided and Team tokens (5%) are locked with DXSALE for more than 6 months.
Marketing Fees: 5% of every transaction is allocated to Marketing in CAKE (swapped to CAKE in real time to avoid dumps). So we can fuel the most ambitious projects and reward our active community, on a daily basis.
Smart distribution mechanism: - The contract keeps track in an array of all token holders. - The contract keeps an index into the array for processing. - Every transaction processes a certain number of users, depending on the transaction size (bigger token transfers can process more, since the gas will still be proportionally less than the value of the tokens). -The token is based on a Dividend-Paying Token Standard, which means all CAKE the contract gains will be split equally proportionally to the token holders. -When a user is processed, the contract checks how many withdrawable dividends they have, and if it is above the minimum threshold for auto-claims, will either automatically claim those dividends for CAKE, or automatically buy back tokens for them. -This system is fully automated and doesn’t add minimal gas fees proportional to value transferred. -The number of holders processed through each transaction is dynamic and based on transaction size. -Holders will receive dividends from the queue based on their position in the array. It’s a fair system, fully automated.
Token Metrics
Fair Launched - Zero Bots
No Private Sale
No Whitelist
No Pre-sale
Transaction Fees
Buy & Sell Tax: 15%
7% is used to purchase CAKE which is automatically paid out in dividends to holders
5% is split between the buy back mechanism and the team/marketing fund. Marketing Fund which is 1.5% can be used in extreme circumstances to correct market volatility.
Liquidity Locked: 100% - Unlock Date : 1 Year
Total Supply: 100 000 000 000
Earn Cake Passively by Holding BabyCake!!
The Normal Questions
Will my rewards always be paid hourly?
Our unique reward system is triggered by volume (buy + sell activity to cover gas fees)
Pay-outs to holders may not occur every hour if trading volume is low. When this is the case, the amount of rewarded CAKE each holder will receive does not decrease
However, will accrue over a longer period of time until it is suitable for a pay-out to trigger (usually a few hours)
Will the Baby Cake team be doxxing?
Baby Cake Co-Founder, Monk, will be Doxxing at $100M
Furthermore, initial liquidity provided will be locked with DxSale for more than 6 months. And the contract is being audited by HASHEX & CertiK (In progress).
Is there a minimum amount of $BABYCAKE tokens needed?
At this stage, there is no minimum of $BABYCAKE tokens needed by each holder
If you want to benefit from the CAKE reward distribution you will have to hold at least
200,000 $BABYCAKE tokens
How can I contact the team?
The best way to contact the team is through our telegram here BabyCakeTG
We are always available to help you
How and Where to Buy BABYCAKE token?
BABYCAKE token is now live on the Binance mainnet. The token address for BABYCAKE is 0xdb8d30b74bf098af214e862c90e647bbb1fcc58c. 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)…
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 BABYCAKE token
Contract: 0xdb8d30b74bf098af214e862c90e647bbb1fcc58c
Source : Tario Sultan
Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap
The top exchange for trading in BABYCAKE token is currently Pancakeswap v2
Find more information BABYCAKE
☞ 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)!
☞ **-----https://geekcash.org-----**⭐ ⭐ ⭐
Thank for visiting and reading this article! Please don’t forget to leave a like, comment and share!
#blockchain #bitcoin #babycake #baby cake
1658068560
WordsCounted: A Ruby Natural Language Processor
WordsCounted
We are all in the gutter, but some of us are looking at the stars.
-- Oscar Wilde
WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.
Features
- Out of the box, get the following data from any string or readable file, or URL:
- Token count and unique token count
- Token densities, frequencies, and lengths
- Char count and average chars per token
- The longest tokens and their lengths
- The most frequent tokens and their frequencies.
- A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
- Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as
["Bayrūt"]and not["Bayr", "ū", "t"], for example. - Opens and reads files. Pass in a file path or a url instead of a string.
Installation
Add this line to your application's Gemfile:
gem 'words_counted'
And then execute:
$ bundle
Or install it yourself as:
$ gem install words_counted
Usage
Pass in a string or a file path, and an optional filter and/or regexp.
counter = WordsCounted.count(
"We are all in the gutter, but some of us are looking at the stars."
)
# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")
.count and .from_file are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter initialized with the tokens. The WordsCounted::Tokeniser and WordsCounted::Counter classes can be used alone, however.
API
WordsCounted
WordsCounted.count(input, options = {})
Tokenises input and initializes a WordsCounted::Counter object with the resulting tokens.
counter = WordsCounted.count("Hello Beirut!")
Accepts two options: exclude and regexp. See Excluding tokens from the analyser and Passing in a custom regexp respectively.
WordsCounted.from_file(path, options = {})
Reads and tokenises a file, and initializes a WordsCounted::Counter object with the resulting tokens.
counter = WordsCounted.from_file("hello_beirut.txt")
Accepts the same options as .count.
Tokeniser
The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.
Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.
#tokenise([pattern: TOKEN_REGEXP, exclude: nil])
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise
# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")
# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)
See Excluding tokens from the analyser and Passing in a custom regexp for more information.
Counter
The WordsCounted::Counter class allows you to collect various statistics from an array of tokens.
#token_count
Returns the token count of a given string.
counter.token_count #=> 15
#token_frequency
Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.
counter.token_frequency
[
["the", 2],
["are", 2],
["we", 1],
# ...
["all", 1]
]
#most_frequent_tokens
Returns a hash where each key-value pair is a token and its frequency.
counter.most_frequent_tokens
{ "are" => 2, "the" => 2 }
#token_lengths
Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.
counter.token_lengths
[
["looking", 7],
["gutter", 6],
["stars", 5],
# ...
["in", 2]
]
#longest_tokens
Returns a hash where each key-value pair is a token and its length.
counter.longest_tokens
{ "looking" => 7 }
#token_density([ precision: 2 ])
Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision argument, which must be a float.
counter.token_density
[
["are", 0.13],
["the", 0.13],
["but", 0.07 ],
# ...
["we", 0.07 ]
]
#char_count
Returns the char count of tokens.
counter.char_count #=> 76
#average_chars_per_token([ precision: 2 ])
Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.
counter.average_chars_per_token #=> 4
#uniq_token_count
Returns the number of unique tokens.
counter.uniq_token_count #=> 13
Excluding tokens from the tokeniser
You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.
- A space-delimited string. The filter will normalise the string.
- A regular expression.
- A lambda.
- A symbol that names a predicate method. For example
:odd?. - An array of any combination of the above.
tokeniser =
WordsCounted::Tokeniser.new(
"Magnificent! That was magnificent, Trevor."
)
# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]
# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]
# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]
# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]
# Using an array
tokeniser = WordsCounted::Tokeniser.new(
"Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]
Passing in a custom regexp
The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.
/[\p{Alpha}\-']+/
You can pass your own criteria as a Ruby regular expression to split your string as desired.
For example, if you wanted to include numbers, you can override the regular expression:
counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]
Opening and reading files
Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.
counter = WordsCounted.from_file("url/or/path/to/file.text")
Gotchas
A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.
counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency
[
["do", 2],
["how", 1],
["you", 1],
["-you", 1], # WTF, mate!
["are", 1],
# ...
]
In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.
A note on case sensitivity
The program will normalise (downcase) all incoming strings for consistency and filters.
Roadmap
Ability to open URLs
def self.from_url
# open url and send string here after removing html
end
Are you using WordsCounted to do something interesting? Please tell me about it.
Demo
Visit this website for one example of what you can do with WordsCounted.
Contributors
See contributors.
Contributing
- Fork it
- Create your feature branch (
git checkout -b my-new-feature) - Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin my-new-feature) - Create new Pull Request
Author: Abitdodgy
Source Code: https://github.com/abitdodgy/words_counted
License: MIT license
1659601560
Words Counted: A Ruby Natural Language Processor.
WordsCounted
We are all in the gutter, but some of us are looking at the stars.
-- Oscar Wilde
WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.
Are you using WordsCounted to do something interesting? Please tell me about it.
Demo
Visit this website for one example of what you can do with WordsCounted.
Features
- Out of the box, get the following data from any string or readable file, or URL:
- Token count and unique token count
- Token densities, frequencies, and lengths
- Char count and average chars per token
- The longest tokens and their lengths
- The most frequent tokens and their frequencies.
- A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
- Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as
["Bayrūt"]and not["Bayr", "ū", "t"], for example. - Opens and reads files. Pass in a file path or a url instead of a string.
Installation
Add this line to your application's Gemfile:
gem 'words_counted'
And then execute:
$ bundle
Or install it yourself as:
$ gem install words_counted
Usage
Pass in a string or a file path, and an optional filter and/or regexp.
counter = WordsCounted.count(
"We are all in the gutter, but some of us are looking at the stars."
)
# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")
.count and .from_file are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter initialized with the tokens. The WordsCounted::Tokeniser and WordsCounted::Counter classes can be used alone, however.
API
WordsCounted
WordsCounted.count(input, options = {})
Tokenises input and initializes a WordsCounted::Counter object with the resulting tokens.
counter = WordsCounted.count("Hello Beirut!")
Accepts two options: exclude and regexp. See Excluding tokens from the analyser and Passing in a custom regexp respectively.
WordsCounted.from_file(path, options = {})
Reads and tokenises a file, and initializes a WordsCounted::Counter object with the resulting tokens.
counter = WordsCounted.from_file("hello_beirut.txt")
Accepts the same options as .count.
Tokeniser
The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.
Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.
#tokenise([pattern: TOKEN_REGEXP, exclude: nil])
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise
# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")
# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)
See Excluding tokens from the analyser and Passing in a custom regexp for more information.
Counter
The WordsCounted::Counter class allows you to collect various statistics from an array of tokens.
#token_count
Returns the token count of a given string.
counter.token_count #=> 15
#token_frequency
Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.
counter.token_frequency
[
["the", 2],
["are", 2],
["we", 1],
# ...
["all", 1]
]
#most_frequent_tokens
Returns a hash where each key-value pair is a token and its frequency.
counter.most_frequent_tokens
{ "are" => 2, "the" => 2 }
#token_lengths
Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.
counter.token_lengths
[
["looking", 7],
["gutter", 6],
["stars", 5],
# ...
["in", 2]
]
#longest_tokens
Returns a hash where each key-value pair is a token and its length.
counter.longest_tokens
{ "looking" => 7 }
#token_density([ precision: 2 ])
Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision argument, which must be a float.
counter.token_density
[
["are", 0.13],
["the", 0.13],
["but", 0.07 ],
# ...
["we", 0.07 ]
]
#char_count
Returns the char count of tokens.
counter.char_count #=> 76
#average_chars_per_token([ precision: 2 ])
Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.
counter.average_chars_per_token #=> 4
#uniq_token_count
Returns the number of unique tokens.
counter.uniq_token_count #=> 13
Excluding tokens from the tokeniser
You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.
- A space-delimited string. The filter will normalise the string.
- A regular expression.
- A lambda.
- A symbol that names a predicate method. For example
:odd?. - An array of any combination of the above.
tokeniser =
WordsCounted::Tokeniser.new(
"Magnificent! That was magnificent, Trevor."
)
# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]
# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]
# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]
# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]
# Using an array
tokeniser = WordsCounted::Tokeniser.new(
"Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]
Passing in a custom regexp
The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.
/[\p{Alpha}\-']+/
You can pass your own criteria as a Ruby regular expression to split your string as desired.
For example, if you wanted to include numbers, you can override the regular expression:
counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]
Opening and reading files
Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.
counter = WordsCounted.from_file("url/or/path/to/file.text")
Gotchas
A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.
counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency
[
["do", 2],
["how", 1],
["you", 1],
["-you", 1], # WTF, mate!
["are", 1],
# ...
]
In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.
A note on case sensitivity
The program will normalise (downcase) all incoming strings for consistency and filters.
Roadmap
Ability to open URLs
def self.from_url
# open url and send string here after removing html
end
Contributors
See contributors.
Contributing
- Fork it
- Create your feature branch (
git checkout -b my-new-feature) - Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin my-new-feature) - Create new Pull Request
Author: abitdodgy
Source code: https://github.com/abitdodgy/words_counted
License: MIT license
#ruby #ruby-on-rails
1622197808
SafeMoon Clone | Create A DeFi Token Like SafeMoon | DeFi token like SafeMoon
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Read More @ https://bit.ly/3oFbJoJ
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SafeMoon Clone | SafeMoon Token Clone | SafeMoon Token Clone Development
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