What is Crypxie (CPX) | What is CPX token | Crypxie (CPX) ICO

CPX is described to be a utility token to be used for payment of trading comission, IEO participation, Cloud mining power, competition reward, etc. in crypxie.com.

Crypxie core team are from world leading internet and finance companies, including the earliest adopters/professionals of cryptocurrency who boast rich experience in R&D, global operations and services in the industry. With our proprietary trade matching system and excellent user experience, we are dedicated to building a highly secure, stable and efficient cryptocurrency exchange for global users.

CPX is an ERC20 token built on Ethereum platform.

Currently total supply is 81,741,662 CPX

Although CPX should be stored on Crypxie.com wallets to benefit from Airdrops, voting, referral commission etc. They can also be stored in soft/hard Ethereum Wallets. (MEW, ImToken, Metamask , Eidoo etc.)

CPX is a utiliy token to be used on Crypxie.com as crypto assets trading platform primarily to be used for

Payment of Trading Commissions

IEO Participation

Staking and Lending Program

Margin Trading and Options Trading

Coin Voting and Coin Listing

Cloud Mining Program

Competitions

and Many Other in the Future

CPX Coin Distribution

30% will be exchanged in Pre-ICO/IEO and ICO/IEO at Q3, 2020

20% will be distributed for free to users of Crypxie.com as Reward (Airdrop&Bounty)

20% is reserved for Team. To be in circulation gradually

20% is reserved for Cloud Mining Program

10% is reserved for Loyalty Program like competition reward, coin voting, etc.

Bussiness Model of CPX Coin

CPX can be used as referral comission for every trade in all listed assets. The amount of referral commission is 20% from trading fee.

CPX will be the base pair and can be traded to BTC, ETH, XRP etc. and to all coins to be listed in the future.

CPX can be used as a Lending asset, Margin Trading deposit and Options Trading deposit.

CPX will be used as the base currency to buy IEO tokens at Crypxie.com

CPX can be used to participate in Cloud Mining Program. CPX holders will receive more CPX in the Cloud Mining Program. the more CPX that is held, the mining speed will increase.

CPX will be used as a reward for Staking Program and Trading Competition.

CPX will be used as fee for Coin Listing, voting power for Coin Voting competitions and reward for Coin Voter Winner.

CPX will be used as fee for Airdrop & Bounty Program Listing.

Buy-Back and Burn Process

To protect our investors who have bought CPX coins during pre-ICO/IEO and when ICO/IEO, 75% of the sales of tokens and 75% of the quarterly profit of crypxie.com will be used for CPX buy-back from the market for keep CPX prices stable.

If in the future CPX prices fall, some CPX coins will be burned to stabilize prices.

Would you like to earn many cryptocurrencies right now! ☞ CLICK HERE

ICO DATE: Oct 1, 2020 - Dec 20, 2020

Visit ICO Website ☞ CLICK HERE

Looking for more information…

☞ Website
☞ Explorer
☞ Source Code
Message Board
☞ Coinmarketcap

Create an Account and Trade Cryptocurrency NOW

Bittrex
Poloniex
Binance

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

#bitcoin #cryptocurrency #blockchain #crypxie #cpx

What is GEEK

Buddha Community

What is Crypxie (CPX) | What is CPX token | Crypxie (CPX) ICO

What is Crypxie (CPX) | What is CPX token | Crypxie (CPX) ICO

CPX is described to be a utility token to be used for payment of trading comission, IEO participation, Cloud mining power, competition reward, etc. in crypxie.com.

Crypxie core team are from world leading internet and finance companies, including the earliest adopters/professionals of cryptocurrency who boast rich experience in R&D, global operations and services in the industry. With our proprietary trade matching system and excellent user experience, we are dedicated to building a highly secure, stable and efficient cryptocurrency exchange for global users.

CPX is an ERC20 token built on Ethereum platform.

Currently total supply is 81,741,662 CPX

Although CPX should be stored on Crypxie.com wallets to benefit from Airdrops, voting, referral commission etc. They can also be stored in soft/hard Ethereum Wallets. (MEW, ImToken, Metamask , Eidoo etc.)

CPX is a utiliy token to be used on Crypxie.com as crypto assets trading platform primarily to be used for

Payment of Trading Commissions

IEO Participation

Staking and Lending Program

Margin Trading and Options Trading

Coin Voting and Coin Listing

Cloud Mining Program

Competitions

and Many Other in the Future

CPX Coin Distribution

30% will be exchanged in Pre-ICO/IEO and ICO/IEO at Q3, 2020

20% will be distributed for free to users of Crypxie.com as Reward (Airdrop&Bounty)

20% is reserved for Team. To be in circulation gradually

20% is reserved for Cloud Mining Program

10% is reserved for Loyalty Program like competition reward, coin voting, etc.

Bussiness Model of CPX Coin

CPX can be used as referral comission for every trade in all listed assets. The amount of referral commission is 20% from trading fee.

CPX will be the base pair and can be traded to BTC, ETH, XRP etc. and to all coins to be listed in the future.

CPX can be used as a Lending asset, Margin Trading deposit and Options Trading deposit.

CPX will be used as the base currency to buy IEO tokens at Crypxie.com

CPX can be used to participate in Cloud Mining Program. CPX holders will receive more CPX in the Cloud Mining Program. the more CPX that is held, the mining speed will increase.

CPX will be used as a reward for Staking Program and Trading Competition.

CPX will be used as fee for Coin Listing, voting power for Coin Voting competitions and reward for Coin Voter Winner.

CPX will be used as fee for Airdrop & Bounty Program Listing.

Buy-Back and Burn Process

To protect our investors who have bought CPX coins during pre-ICO/IEO and when ICO/IEO, 75% of the sales of tokens and 75% of the quarterly profit of crypxie.com will be used for CPX buy-back from the market for keep CPX prices stable.

If in the future CPX prices fall, some CPX coins will be burned to stabilize prices.

Would you like to earn many cryptocurrencies right now! ☞ CLICK HERE

ICO DATE: Oct 1, 2020 - Dec 20, 2020

Visit ICO Website ☞ CLICK HERE

Looking for more information…

☞ Website
☞ Explorer
☞ Source Code
Message Board
☞ Coinmarketcap

Create an Account and Trade Cryptocurrency NOW

Bittrex
Poloniex
Binance

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

#bitcoin #cryptocurrency #blockchain #crypxie #cpx

Deep Shah

Deep Shah

1603255867

ICO Development Company | Hire ICO Developer in India | ICO Consulting

We at ICO Development cover all the major steps or activities i.e. light paper & white paper drafting, coin or token creation, ICO fundraising dashboard, coin drop, marketing plan, bounty management etc. that will help you to raise a successful ICO.

#ico development #ico development services #ico solutions #ico services #ico development company

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 

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 

Deep Shah

Deep Shah

1611118213

Pre – ICO Development Services | ICO Development

At ICO Development, we create your ICO for victory with powerful PR campaigns, Whitepaper services, drafted pre-ICO technology set-up, dedicated & skillful ICO customer services, Smart contract setup, & standard block explorer integration services.

#ico development #best ico development company #top ico development services #ico solutions #pre-ico development company