1610000669
What is Delphi Chain Link (DCL) | What is DCL token
About Delphi Chain Link
Delphi Chain Link DeFi Ecosystem asset DCL acts as bridge between Tron, Ethereum and other digital assets and real-world assets through an Android/IOS app and Web Interface while allowing holders to earn interest completely on-chain transaction. DCL Ecosystem has several essential and complementary components that work together to generate income and provide transparent real-world backing for any digital asset.
Delphi Chain Link DeFi Ecosystem asset DCL acts as bridge between Tron, Ethereum and other digital assets and real-world assets through an Android/IOS app and Web Interface while allowing holders to earn interest completely on-chain transaction.
Delphi Chain Link Defi Ecosystem has several essential and complementary components that work together to generate income and provide transparent real-world backing for any digital asset.
Integration, Interoperability and Exchanges. All of these points are part of our product that had an interface through an APP (Android / IOS) and that used our token within the platform
- Delphi Chain Link (DCL) DeFi -
Delphi Chain Link DeFi Plataform asset DCL (Utility Token) acts as bridge between Tron, Ethereum and other digital assets and real-world assets through an Android/IOS app and Web Interface while allowing holders to earn interest completely on-chain transaction.
Delphi Chain Link Defi Ecosystem has several essential and complementary components that work together to generate income and provide transparent real-world backing for any digital asset.
Earn Interest
Deposit your preferred into Earn Interest to start accruing interest daily to grow your crypto assets without any effort.
Swap
DCL App Swap is the most intuitive way to swap TRC tokens with the best price by splitting the order across DEX with high liquidity.
Get Fiat Money
Hold you crypto and getting access to fiat money. Use your crypto assets as collateral for getting a loan and another borrower scrutiny for approval.
No Risk
Don’t lose your mind checking all the rates on different DeFi protocols and DEXes, Let DCL App do the dirty work and save your time.
Secure
DCL is completed multiple and incremental security audits. All crypto assets are stored on cold multi-signature wallets with distributed key storage.
Low Fees
Very low fees for international transaction. Cryptocurrencies involve peer-to-peer transactions, meaning they eliminate brokerage or middleman fees.
Our Objectives and Targets
Interoperability between platforms in the DeFi ecosystem
Interoperability
Through our application it is possible to connect with different platforms and make exchanges between platforms
Integration
Integration between the real world and digital assests in a simple, cheap and agile way through the TRC10 protocol
Secure
Through our application using security and reliable protocols, together with the TRC10 platform.
– Why TRC10 token? –
We believe that the high rates practiced on other platforms end up making the DeFi ecosystem unfeasible, so we chose the TRC10 platform where the rates are cheaper and consistent with our purpose.
– What is the product? –
Integration, Interoperability and Exchanges. All of these points are part of our product that had an interface through an APP (Android / IOS) and that used our utility token within the platform
– Supply less than 1 billion? –
We are concerned with the value that our architecture and platform can offer users, so compared to other projects our suply is sig
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What is GEEK
Buddha Community
1610000669
What is Delphi Chain Link (DCL) | What is DCL token
About Delphi Chain Link
Delphi Chain Link DeFi Ecosystem asset DCL acts as bridge between Tron, Ethereum and other digital assets and real-world assets through an Android/IOS app and Web Interface while allowing holders to earn interest completely on-chain transaction. DCL Ecosystem has several essential and complementary components that work together to generate income and provide transparent real-world backing for any digital asset.
Delphi Chain Link DeFi Ecosystem asset DCL acts as bridge between Tron, Ethereum and other digital assets and real-world assets through an Android/IOS app and Web Interface while allowing holders to earn interest completely on-chain transaction.
Delphi Chain Link Defi Ecosystem has several essential and complementary components that work together to generate income and provide transparent real-world backing for any digital asset.
Integration, Interoperability and Exchanges. All of these points are part of our product that had an interface through an APP (Android / IOS) and that used our token within the platform
- Delphi Chain Link (DCL) DeFi -
Delphi Chain Link DeFi Plataform asset DCL (Utility Token) acts as bridge between Tron, Ethereum and other digital assets and real-world assets through an Android/IOS app and Web Interface while allowing holders to earn interest completely on-chain transaction.
Delphi Chain Link Defi Ecosystem has several essential and complementary components that work together to generate income and provide transparent real-world backing for any digital asset.
Earn Interest
Deposit your preferred into Earn Interest to start accruing interest daily to grow your crypto assets without any effort.
Swap
DCL App Swap is the most intuitive way to swap TRC tokens with the best price by splitting the order across DEX with high liquidity.
Get Fiat Money
Hold you crypto and getting access to fiat money. Use your crypto assets as collateral for getting a loan and another borrower scrutiny for approval.
No Risk
Don’t lose your mind checking all the rates on different DeFi protocols and DEXes, Let DCL App do the dirty work and save your time.
Secure
DCL is completed multiple and incremental security audits. All crypto assets are stored on cold multi-signature wallets with distributed key storage.
Low Fees
Very low fees for international transaction. Cryptocurrencies involve peer-to-peer transactions, meaning they eliminate brokerage or middleman fees.
Our Objectives and Targets
Interoperability between platforms in the DeFi ecosystem
Interoperability
Through our application it is possible to connect with different platforms and make exchanges between platforms
Integration
Integration between the real world and digital assests in a simple, cheap and agile way through the TRC10 protocol
Secure
Through our application using security and reliable protocols, together with the TRC10 platform.
– Why TRC10 token? –
We believe that the high rates practiced on other platforms end up making the DeFi ecosystem unfeasible, so we chose the TRC10 platform where the rates are cheaper and consistent with our purpose.
– What is the product? –
Integration, Interoperability and Exchanges. All of these points are part of our product that had an interface through an APP (Android / IOS) and that used our utility token within the platform
– Supply less than 1 billion? –
We are concerned with the value that our architecture and platform can offer users, so compared to other projects our suply is sig
Would you like to earn DCL right now! ☞ CLICK HERE
Looking for more information…
☞ Website
☞ Explorer
☞ Source Code
☞ Social Channel
☞ Message Board
☞ Coinmarketcap
Create an Account and Trade Cryptocurrency NOW
☞ Binance
☞ Bittrex
☞ Poloniex
Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!
#bitcoin #crypto #delphi chain link #dcl
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
1622197808
SafeMoon Clone | Create A DeFi Token Like SafeMoon | DeFi token like SafeMoon
SafeMoon is a decentralized finance (DeFi) token. This token consists of RFI tokenomics and auto-liquidity generating protocol. A DeFi token like SafeMoon has reached the mainstream standards under the Binance Smart Chain. Its success and popularity have been immense, thus, making the majority of the business firms adopt this style of cryptocurrency as an alternative.
A DeFi token like SafeMoon is almost similar to the other crypto-token, but the only difference being that it charges a 10% transaction fee from the users who sell their tokens, in which 5% of the fee is distributed to the remaining SafeMoon owners. This feature rewards the owners for holding onto their tokens.
Read More @ https://bit.ly/3oFbJoJ
#create a defi token like safemoon #defi token like safemoon #safemoon token #safemoon token clone #defi token
1619777022
Roku.com/link | Link your Roku device | Url Roku.com/link
How do I activate Roku TV using a Roku activation code received through roku.com/link?
This section will explain the process of activating Roku channels via Url Roku com Link using the activation code:
To start, press the Home button on your remote, then turn on the Roku TV and the streaming device.
Connect the device to the internet via WiFi now.
You must launch the TV screen afterwards.
Remember that you will receive the Roku activation code after this.
Simply go to www.roku.com/link and enter the activation code.
Make sure the credentials and activation code have been entered correctly.
Wait for the Roku device to get activated
Visit Roku Official Site :Roku.com/link
Learn More :Url Roku.com/link
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