What is The Smokehouse (SMOKE) | What is The Smokehouse token | What is SMOKE token

Currently, on the Binance Smart Chain Network, yield farming and staking coins are thriving. The Smokehouse wants to build a safe, profitable farming ecosystem with a trusted team that users can rely on. Their main focus is security and protecting investors’ funds, while also adding in fun and unique farming opportunities.

Welcome to The Smokehouse Grill and DeFi. We can’t wait to show you our mouthwatering meats.

What is The Smokehouse?

We are a yield farming and staking protocol that will focus on two things, HIGH APY and SECURITY. There have been way too many rugs lately so our team wants to provide a safe environment for everyone to get their degen farm on. This farm and the whole ecosystem that will be built will be lead a trusted team, with the sole purpose of protecting your investment.

The benefits of using Binance Smart Chain (BSC)

Recently, the team working on The Smokehouse had their mind blown when they first tried Binance Smart Chain and have decided to park their meat here. The instant confirmations, 10 cents or less gas costs, and the whole feeling of being part of something early has us completely enthralled and excited.

We are also seeing a ton of people coming to the same realization. You can see this reflected in the recent, huge pump on BNB token. I feel like we are all pretty early here, and this team wants to set themselves up as one of the leading and most trusted teams on this chain.

Emphasis on security

Because of the recent events on BSC, we will take the following steps to further ensures everyone’s safety.

  • Reveal my identity to large community leaders upon request. I will be doxing myself to the owner of the large discord channel here:  https://discord.gg/jdTn5NSR . I will also dox myself to any other large community leader who requests it.
  • Deploy a 6 hour time lock contract. Any changes made to the smart contract will be delayed by 6 hours. We will implement this after we have introduced all our pools.
  • Audit the smart contracts. Even though we have seen that audits do not catch all mistakes or malicious code, we still understand that an audit does provide a form of security and peace of mind, so we will look into available options and get that started as soon as possible.

On to the token details…

Token: SMOKE
Contract addresses:
SMOKE :  0x5239fe1a8c0b6ece6ad6009d15315e02b1e7c4ea
SAUCE :  0x481AC3E7FB8169cE245c824c9Dba47258d0Cf2b8
PitMaster: 0xb4Fa8846ce2739CEB728D49282A24890057D7110
Presale: 0x0C3685e0dEeeD18F5722d3441384179C01F0ae59
Blockchain: Binance Smart Chain ( BSC )
Initial supply: 20,001
Dev wallet: 0x276F4dA68cf789DeCe07b0d55844eac51a606541

Emission Rates:

Rewards per block:

First 24 hours — All you can eat buffet is on!! 4 Rewards per block.

Next 48 hours — Like thanksgiving at your grandmas. 3 rewards per block.

Remainder — We are now dieting for our summer bodies because we ate way too much. 1.5 rewards per block

Initial Liquidity pools for farming SMOKE tokens:

Reward multipliers:

  • SMOKE/BNB — PCS LP (35x Rewards) Smoked Brisket Pool
  • SMOKE/BUSD — PCS LP (20x Rewards) Pulled Pork Pool
  • SMOKE/USDT — STREETSWAP LP ( 8x Rewards ) Short Ribs Pool
  • BIFI/BNB — PCS LP — (2x Rewards) Smokehouse Burger Pool
  • THUGS/BNB — Streetswap LP — (2x Rewards) T-Bone Pool
  • FUEL/BNB — Streetswap LP — (2x Rewards) Tri Tip Pool
  • CAKE/BNB — PCS LP (2x Rewards) Beefcake Pool
  • LINK/BNB — PCS LP — (1x Rewards) Texas Hot Links Pool

Spice it up with our spicy BBQ SAUCE - Try SAUCE staking:

SAUCE (Staking):

Stack your SMOKE with SAUCE.

  • 40% of SMOKE emissions will be distributed to SAUCE holders every block. Users can claim these rewards and re-invest them.
  • SMOKE holders can swap SMOKE for SAUCE at a 1:1 ratio.
  • SMOKE is distributed proportionally at each block based on SAUCE holdings.
  • We will only record and distribute SMOKE rewards to the wallet address that initiated the SAUCE staking. While SAUCE can be sent to other addresses only the initiating address will receive the SMOKE rewards.

Additional incentives to hold SMOKE

The Smokehouse is just the beginning of an entire farming ecosystem that is to come. These new farms will each have a unique and innovate twist to traditional farming.

Benefits of holding SMOKE:

  • Access to whitelists for future farms!
  • Token and NFT airdrops!
  • Upcoming lottery system!
  • Entrance to new, high APY farming pairs!

NOTE:

We will be submitting our code for audit review soon, however as of now, The SMOKEHOUSE is currently in BETA and as such, has not YET been audited. Please manage your risk and invest responsibly.

Presale:

Whitelist presale — 50 people

Google form will be shared and will need to be filled out once the timer here is 0:  https://www.timeanddate.com/countdown/retirement?iso=20210214T08&p0=137&msg=Financial+Freedom&font=cursive

12,500 / 500 BNB ( MAX 10 per wallet )

No initial liquidity provided other than initial creation of all the pools

Users are encouraged to add their own LP as this is an LP farming pool — the earlier you LP the better rates you will get in.

The team will use the raise as their payment as we will not pre-mine any team tokens. The team is 6 people large and we are very committed to providing you a quality project.

What does the The SMOKEHOUSE team get?

The team at the Smokehouse sees a fantastic opportunity here on BSC to make a name for themselves and deliver high quality projects in a timely manner.

We will be keeping the initial presale raise. This is an LP farm and users are encouraged to provide liquidity. The team will not get any pre-mined coins — this will prevent a downward selling pressure on the coin.

The developer wallet will be collecting 10% of rewards, but not via tax. We are doing it the way it was originally coded — matching 10% of the rewards harvested and sending it to the developer wallet. These funds will be used for marketing and future partnerships as well as incentives for future pools and potential burns.

Thank you everyone for your support, farm safe and smart and lets all make delicious profits out there.

Looking for more information…

WebsiteExplorerSocial ChannelSocial Channel 2Message BoardCoinmarketcap

Would you like to earn SMOKE right now! ☞ CLICK HERE

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

BinanceBittrexPoloniexBitfinexHuobi

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

#cryptocurrency #bitcoin #the smokehouse #smoke

What is GEEK

Buddha Community

What is The Smokehouse (SMOKE) | What is The Smokehouse token | What is SMOKE token

What is The Smokehouse (SMOKE) | What is The Smokehouse token | What is SMOKE token

Currently, on the Binance Smart Chain Network, yield farming and staking coins are thriving. The Smokehouse wants to build a safe, profitable farming ecosystem with a trusted team that users can rely on. Their main focus is security and protecting investors’ funds, while also adding in fun and unique farming opportunities.

Welcome to The Smokehouse Grill and DeFi. We can’t wait to show you our mouthwatering meats.

What is The Smokehouse?

We are a yield farming and staking protocol that will focus on two things, HIGH APY and SECURITY. There have been way too many rugs lately so our team wants to provide a safe environment for everyone to get their degen farm on. This farm and the whole ecosystem that will be built will be lead a trusted team, with the sole purpose of protecting your investment.

The benefits of using Binance Smart Chain (BSC)

Recently, the team working on The Smokehouse had their mind blown when they first tried Binance Smart Chain and have decided to park their meat here. The instant confirmations, 10 cents or less gas costs, and the whole feeling of being part of something early has us completely enthralled and excited.

We are also seeing a ton of people coming to the same realization. You can see this reflected in the recent, huge pump on BNB token. I feel like we are all pretty early here, and this team wants to set themselves up as one of the leading and most trusted teams on this chain.

Emphasis on security

Because of the recent events on BSC, we will take the following steps to further ensures everyone’s safety.

  • Reveal my identity to large community leaders upon request. I will be doxing myself to the owner of the large discord channel here:  https://discord.gg/jdTn5NSR . I will also dox myself to any other large community leader who requests it.
  • Deploy a 6 hour time lock contract. Any changes made to the smart contract will be delayed by 6 hours. We will implement this after we have introduced all our pools.
  • Audit the smart contracts. Even though we have seen that audits do not catch all mistakes or malicious code, we still understand that an audit does provide a form of security and peace of mind, so we will look into available options and get that started as soon as possible.

On to the token details…

Token: SMOKE
Contract addresses:
SMOKE :  0x5239fe1a8c0b6ece6ad6009d15315e02b1e7c4ea
SAUCE :  0x481AC3E7FB8169cE245c824c9Dba47258d0Cf2b8
PitMaster: 0xb4Fa8846ce2739CEB728D49282A24890057D7110
Presale: 0x0C3685e0dEeeD18F5722d3441384179C01F0ae59
Blockchain: Binance Smart Chain ( BSC )
Initial supply: 20,001
Dev wallet: 0x276F4dA68cf789DeCe07b0d55844eac51a606541

Emission Rates:

Rewards per block:

First 24 hours — All you can eat buffet is on!! 4 Rewards per block.

Next 48 hours — Like thanksgiving at your grandmas. 3 rewards per block.

Remainder — We are now dieting for our summer bodies because we ate way too much. 1.5 rewards per block

Initial Liquidity pools for farming SMOKE tokens:

Reward multipliers:

  • SMOKE/BNB — PCS LP (35x Rewards) Smoked Brisket Pool
  • SMOKE/BUSD — PCS LP (20x Rewards) Pulled Pork Pool
  • SMOKE/USDT — STREETSWAP LP ( 8x Rewards ) Short Ribs Pool
  • BIFI/BNB — PCS LP — (2x Rewards) Smokehouse Burger Pool
  • THUGS/BNB — Streetswap LP — (2x Rewards) T-Bone Pool
  • FUEL/BNB — Streetswap LP — (2x Rewards) Tri Tip Pool
  • CAKE/BNB — PCS LP (2x Rewards) Beefcake Pool
  • LINK/BNB — PCS LP — (1x Rewards) Texas Hot Links Pool

Spice it up with our spicy BBQ SAUCE - Try SAUCE staking:

SAUCE (Staking):

Stack your SMOKE with SAUCE.

  • 40% of SMOKE emissions will be distributed to SAUCE holders every block. Users can claim these rewards and re-invest them.
  • SMOKE holders can swap SMOKE for SAUCE at a 1:1 ratio.
  • SMOKE is distributed proportionally at each block based on SAUCE holdings.
  • We will only record and distribute SMOKE rewards to the wallet address that initiated the SAUCE staking. While SAUCE can be sent to other addresses only the initiating address will receive the SMOKE rewards.

Additional incentives to hold SMOKE

The Smokehouse is just the beginning of an entire farming ecosystem that is to come. These new farms will each have a unique and innovate twist to traditional farming.

Benefits of holding SMOKE:

  • Access to whitelists for future farms!
  • Token and NFT airdrops!
  • Upcoming lottery system!
  • Entrance to new, high APY farming pairs!

NOTE:

We will be submitting our code for audit review soon, however as of now, The SMOKEHOUSE is currently in BETA and as such, has not YET been audited. Please manage your risk and invest responsibly.

Presale:

Whitelist presale — 50 people

Google form will be shared and will need to be filled out once the timer here is 0:  https://www.timeanddate.com/countdown/retirement?iso=20210214T08&p0=137&msg=Financial+Freedom&font=cursive

12,500 / 500 BNB ( MAX 10 per wallet )

No initial liquidity provided other than initial creation of all the pools

Users are encouraged to add their own LP as this is an LP farming pool — the earlier you LP the better rates you will get in.

The team will use the raise as their payment as we will not pre-mine any team tokens. The team is 6 people large and we are very committed to providing you a quality project.

What does the The SMOKEHOUSE team get?

The team at the Smokehouse sees a fantastic opportunity here on BSC to make a name for themselves and deliver high quality projects in a timely manner.

We will be keeping the initial presale raise. This is an LP farm and users are encouraged to provide liquidity. The team will not get any pre-mined coins — this will prevent a downward selling pressure on the coin.

The developer wallet will be collecting 10% of rewards, but not via tax. We are doing it the way it was originally coded — matching 10% of the rewards harvested and sending it to the developer wallet. These funds will be used for marketing and future partnerships as well as incentives for future pools and potential burns.

Thank you everyone for your support, farm safe and smart and lets all make delicious profits out there.

Looking for more information…

WebsiteExplorerSocial ChannelSocial Channel 2Message BoardCoinmarketcap

Would you like to earn SMOKE right now! ☞ CLICK HERE

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

BinanceBittrexPoloniexBitfinexHuobi

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

#cryptocurrency #bitcoin #the smokehouse #smoke

Royce  Reinger

Royce Reinger

1658068560

WordsCounted: A Ruby Natural Language Processor

WordsCounted

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

-- Oscar Wilde

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

Features

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

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

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

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

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

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

API

WordsCounted

WordsCounted.count(input, options = {})

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

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

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

WordsCounted.from_file(path, options = {})

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

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

Accepts the same options as .count.

Tokeniser

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

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

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

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

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

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

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

Counter

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

#token_count

Returns the token count of a given string.

counter.token_count #=> 15

#token_frequency

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

counter.token_frequency

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

#most_frequent_tokens

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

counter.most_frequent_tokens

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

#token_lengths

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

counter.token_lengths

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

#longest_tokens

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

counter.longest_tokens

{ "looking" => 7 }

#token_density([ precision: 2 ])

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

counter.token_density

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

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

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

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

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

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. An array of any combination of the above.
tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

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

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

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

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

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

Passing in a custom regexp

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

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

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

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

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

Opening and reading files

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

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

Gotchas

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

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

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

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

A note on case sensitivity

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

Roadmap

Ability to open URLs

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

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

Gem Version 

RubyDoc documentation.

Demo

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


Contributors

See contributors.

Contributing

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

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

#ruby #nlp 

Words Counted: A Ruby Natural Language Processor.

WordsCounted

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

-- Oscar Wilde

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

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

 

Demo

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

Features

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

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

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

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

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

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

API

WordsCounted

WordsCounted.count(input, options = {})

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

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

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

WordsCounted.from_file(path, options = {})

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

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

Accepts the same options as .count.

Tokeniser

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

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

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

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

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

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

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

Counter

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

#token_count

Returns the token count of a given string.

counter.token_count #=> 15

#token_frequency

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

counter.token_frequency

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

#most_frequent_tokens

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

counter.most_frequent_tokens

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

#token_lengths

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

counter.token_lengths

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

#longest_tokens

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

counter.longest_tokens

{ "looking" => 7 }

#token_density([ precision: 2 ])

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

counter.token_density

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

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

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

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

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

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. An array of any combination of the above.
tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

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

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

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

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

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

Passing in a custom regexp

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

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

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

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

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

Opening and reading files

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

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

Gotchas

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

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

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

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

A note on case sensitivity

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

Roadmap

Ability to open URLs

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

Contributors

See contributors.

Contributing

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

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

#ruby  #ruby-on-rails 

aaron silva

aaron silva

1622197808

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