1625751720
What is LavaCake Finance (LAVA) | What is LavaCake Finance token | What is LAVA token
In this article, we’ll discuss information about the LavaCake Finance project and LAVA token
LavaCake Finance is latest generation yield farm and AMM decentralized exchange running on Binance Smart Chain with lots of unique and creative features.
LavaCake Finance
Main Features
Below are the main features that will be used in our products.
Transfer Tax
- Every transaction (send, swap, farming, etc.) of will be charged a 7.5% transfer tax.
- Use 8%+ slippage to buy **LAVA **on PancakeSwap V2 or other AMM.
- The transaction will fail if the slippage is less than 7.5%
Automated Burning Mechanism
30% of 7.5% transfer tax (2.25% of transaction amount) will be burned in every transaction.
Automatic Liquidity
Every transaction of **LAVA **will be charged a 7.5% transfer tax. The 5.25% transfer tax gets added to the liquidity pool through the contract automatically to raise the price floor continuously. And the liquidity will be locked and inaccessible.
Anti Whale
Transactions more than 0.5% of total supply will be rejected. As the total supply grows, this ratio will be reduced.
Harvest Lockup
We use harvest lockup based on time. Harvest lockup is a unique rewards lockup mechanism used to limit the frequency of harvest. It is designed to prevent farming arbitrage bots from constantly harvesting and dumping.
Harvest Lockup will be set for 6 days (usually from Monday to Saturday), and you can only harvest on Sunday.
Referral Program
LavaCake Referral is a unique On-chain referral program that lets users earn $LAVA without depositing any tokens. You just have to refer other users to stake in Farms and Staking Pools and you will be earning 3% of the rewards they receive forever.
Roadmap
This is our initial roadmap. Priority depends on what we consider most important, along with community requests and feedback. So it may be changed in the future.
Launch Stage
- Community building
- Deploy smart contracts
- Build Dapp
- Audit
- Submit LAVA to Coinmarketcap, Coingecko, DappRadar, BscScan, etc.
- Marketing & Advertising Strategy (In Progress)
- Airdrop (Live)
- Lava Farms & Staking Pools
- Lottery
- Chocolate Pools (Stake LAVA to earn other tokens)
- Twitter, Youtube, Tiktok Contests
- Partnerships
Long Term Plan
- Other Audits (Certik, Hacken, etc)
- New products
- Airdrop distribution
- Listed on major exchanges
- Decentralized Exchange (AMM)
- Marketing & Advertising Strategy
- More Features in Planning - details coming soon!
LavaCake Token (LAVA)
Information
- Token Name: LavaCake Token
- Token Symbol: LAVA
- Contract Address: 0xa2Eb573862F1910F0537001a419Bd9B01e821c8A
- Chain: Binance Smart Chain (BEP20)
- Max Supply: 10,000,000
Transfer Tax
- Total Transfer Tax Rate: 7.5% of every transfer
- Burn Rate: 30% of transfer tax will be burned immediately (2.25% of transaction amount)
- Automatic Liquidity Rate: 70% of transfer tax will be added to the LP pool and locked. (5.25% of transaction amount)
Emission Rate
- New LAVA/Block = 1 (initial emission rate). The emission rate will be adjusted reduce gradually.
- 9.09% to the dev team to ensure essential growth of the project. During the first farming week, LAVA in Dev wallet will be transferred to LavacakeLocker contract daily.
Deposit Fee
Deposit fee is 3.9% for non-LAVA Farms/Pools. Deposit fee is 0% for native Farms/Pools. 75% of this fee will be used to Buyback + Burn LAVA to pump the price, and redistribute to LAVA holders when stake on Chocolate Pools.
How and Where to Buy LAVA token?
LAVA token is now live on the Binance mainnet. The token address for LAVA is 0xa2Eb573862F1910F0537001a419Bd9B01e821c8A. 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 LAVA token
Contract: 0xa2Eb573862F1910F0537001a419Bd9B01e821c8A
Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap
The top exchange for trading in LAVA token is currently Pancakeswap v2
Find more information LAVA
☞ Website ☞ Explorer ☞ Source Code ☞ Social Channel ☞ Social Channel 2 ☞ Message Board ☞ Documentation ☞ 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-----**⭐ ⭐ ⭐
I hope this post will help you. Don’t forget to leave a like, comment and sharing it with others. Thank you!
#blockchain #bitcoin #lava #lavacake finance
What is GEEK
Buddha Community
1625751720
What is LavaCake Finance (LAVA) | What is LavaCake Finance token | What is LAVA token
In this article, we’ll discuss information about the LavaCake Finance project and LAVA token
LavaCake Finance is latest generation yield farm and AMM decentralized exchange running on Binance Smart Chain with lots of unique and creative features.
LavaCake Finance
Main Features
Below are the main features that will be used in our products.
Transfer Tax
- Every transaction (send, swap, farming, etc.) of will be charged a 7.5% transfer tax.
- Use 8%+ slippage to buy **LAVA **on PancakeSwap V2 or other AMM.
- The transaction will fail if the slippage is less than 7.5%
Automated Burning Mechanism
30% of 7.5% transfer tax (2.25% of transaction amount) will be burned in every transaction.
Automatic Liquidity
Every transaction of **LAVA **will be charged a 7.5% transfer tax. The 5.25% transfer tax gets added to the liquidity pool through the contract automatically to raise the price floor continuously. And the liquidity will be locked and inaccessible.
Anti Whale
Transactions more than 0.5% of total supply will be rejected. As the total supply grows, this ratio will be reduced.
Harvest Lockup
We use harvest lockup based on time. Harvest lockup is a unique rewards lockup mechanism used to limit the frequency of harvest. It is designed to prevent farming arbitrage bots from constantly harvesting and dumping.
Harvest Lockup will be set for 6 days (usually from Monday to Saturday), and you can only harvest on Sunday.
Referral Program
LavaCake Referral is a unique On-chain referral program that lets users earn $LAVA without depositing any tokens. You just have to refer other users to stake in Farms and Staking Pools and you will be earning 3% of the rewards they receive forever.
Roadmap
This is our initial roadmap. Priority depends on what we consider most important, along with community requests and feedback. So it may be changed in the future.
Launch Stage
- Community building
- Deploy smart contracts
- Build Dapp
- Audit
- Submit LAVA to Coinmarketcap, Coingecko, DappRadar, BscScan, etc.
- Marketing & Advertising Strategy (In Progress)
- Airdrop (Live)
- Lava Farms & Staking Pools
- Lottery
- Chocolate Pools (Stake LAVA to earn other tokens)
- Twitter, Youtube, Tiktok Contests
- Partnerships
Long Term Plan
- Other Audits (Certik, Hacken, etc)
- New products
- Airdrop distribution
- Listed on major exchanges
- Decentralized Exchange (AMM)
- Marketing & Advertising Strategy
- More Features in Planning - details coming soon!
LavaCake Token (LAVA)
Information
- Token Name: LavaCake Token
- Token Symbol: LAVA
- Contract Address: 0xa2Eb573862F1910F0537001a419Bd9B01e821c8A
- Chain: Binance Smart Chain (BEP20)
- Max Supply: 10,000,000
Transfer Tax
- Total Transfer Tax Rate: 7.5% of every transfer
- Burn Rate: 30% of transfer tax will be burned immediately (2.25% of transaction amount)
- Automatic Liquidity Rate: 70% of transfer tax will be added to the LP pool and locked. (5.25% of transaction amount)
Emission Rate
- New LAVA/Block = 1 (initial emission rate). The emission rate will be adjusted reduce gradually.
- 9.09% to the dev team to ensure essential growth of the project. During the first farming week, LAVA in Dev wallet will be transferred to LavacakeLocker contract daily.
Deposit Fee
Deposit fee is 3.9% for non-LAVA Farms/Pools. Deposit fee is 0% for native Farms/Pools. 75% of this fee will be used to Buyback + Burn LAVA to pump the price, and redistribute to LAVA holders when stake on Chocolate Pools.
How and Where to Buy LAVA token?
LAVA token is now live on the Binance mainnet. The token address for LAVA is 0xa2Eb573862F1910F0537001a419Bd9B01e821c8A. 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 LAVA token
Contract: 0xa2Eb573862F1910F0537001a419Bd9B01e821c8A
Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap
The top exchange for trading in LAVA token is currently Pancakeswap v2
Find more information LAVA
☞ Website ☞ Explorer ☞ Source Code ☞ Social Channel ☞ Social Channel 2 ☞ Message Board ☞ Documentation ☞ 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-----**⭐ ⭐ ⭐
I hope this post will help you. Don’t forget to leave a like, comment and sharing it with others. Thank you!
#blockchain #bitcoin #lava #lavacake finance
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!
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
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
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