1611050659
The Rise Of Coins and Tokens in Todays World
It has primarily led to a new world of possibilities. Besides the financial sector, blockchain technology is assisting several other industries. Numerous highlights on the social implications of the game-changing Ripple cryptocurrency are worth looking at.
To start with, some commonly used terms when talking of Ripple and their meanings are as follows.
Part of Ripple’s commitment, is collaborating with universities aiming to dig more into the social impacts of cryptocurrency. The company’s commitment towards promoting education and equity is shown by their support for public school teachers. RippleWorks is also a non-profit organization and a Ripple partner that has done marvellous work in supporting social ventures spanning several sectors.
Any establishment with few or no social implications is highly likely to go on a downward trend. Through Ripple for better initiative, a social impact program whose goal is to wholly support organizations and initiatives with a mission, an impact is recognizable.
A robust platform is required to bring together the world’s online population of 3 billion. Since the introduction of Ripple by Ripple Labs, the team has done a lot of work to make that possible. It is scalable, secure and can to be embedded in banking software.
Which is the best Cryptocurrency exchange software development company?
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#ripplecoin #coinclonescript #crytpocurrencyexchangescript #bitcoinexchangescript #bitcoin #blockchain
1658068560
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.
["Bayrūt"]
and not ["Bayr", "ū", "t"]
, for example.Add this line to your application's Gemfile:
gem 'words_counted'
And then execute:
$ bundle
Or install it yourself as:
$ gem install words_counted
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.
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
.
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.
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
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.
:odd?
.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"]
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"]
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")
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.
The program will normalise (downcase) all incoming strings for consistency and filters.
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.
Visit this website for one example of what you can do with WordsCounted.
Contributors
See contributors.
git checkout -b my-new-feature
)git commit -am 'Add some feature'
)git push origin my-new-feature
)Author: Abitdodgy
Source Code: https://github.com/abitdodgy/words_counted
License: MIT license
1659601560
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.
Visit this website for one example of what you can do with WordsCounted.
["Bayrūt"]
and not ["Bayr", "ū", "t"]
, for example.Add this line to your application's Gemfile:
gem 'words_counted'
And then execute:
$ bundle
Or install it yourself as:
$ gem install words_counted
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.
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
.
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.
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
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.
:odd?
.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"]
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"]
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")
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.
The program will normalise (downcase) all incoming strings for consistency and filters.
def self.from_url
# open url and send string here after removing html
end
See contributors.
git checkout -b my-new-feature
)git commit -am 'Add some feature'
)git push origin my-new-feature
)Author: abitdodgy
Source code: https://github.com/abitdodgy/words_counted
License: MIT license
#ruby #ruby-on-rails
1622197808
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
1613529646
The world’s most advanced synthetic rebase token, Rise Protocol combines revolutionary tokenomics and features with the best and latest decentralized finance (DeFi) technology. Smart contract has already passed audits by CTDSec (professional auditing firm) and Shappy from WarOnRugs.
KEY FEATURES:
“Sustainable, Adaptable, Fair, and Secure”: these are the four tenets that Rise Protocol was built upon. Every aspect of the token, presale, smart contract, etc. was created with these core values in mind.
**Many other DeFi projects sacrifice one or more of these values, **which creates scenarios like ridiculously unfair advantages for early private investors, or generating short lived and temporary hype, or creating a rigid contract that has no ability to adapt or change to the ever evolving crypto market, or a contract that is subject to exploits.
How does Rise address these issues in DeFi?
Sustainable:
Adaptable:
Fair:
Secure:
What is the problem Rise Protocol is solving?
Other rebase tokens have a static peg that can never be altered, meaning as market and investor sentiments change, they fail to adapt with it. Rise protocol solves this design flaw with our adaptable and dynamic peg. This allows for flexibility and adaptability never seen before in rebase tokens.
Rise is unique and can be pegged to any asset. Our initial peg will be set to 0.01 ETH. It also uses “lag” which controls the rebase amounts as to not over inflate or deflate our supply. If the lag is 5 and we’re due for a 100% rebase it is divided by 5 giving a 20% rebase. This ensures sustainability of the project coupled with its other deflationary mechanisms. The lag can be adjusted depending on market conditions.
Why does the market need Rise Protocol?
Rise Protocol is the worlds most advanced rebase token that through governance can be adapted and dynamically pegged to any asset class depending on investor and market sentiment, allowing for a level of flexibility and adaptability never seen before in any rebase token.
A daily rebase occurs if the token price is above peg, meaning holders will automatically receive more tokens in their wallets. There are powerful deflationary mechanisms in place to maintain the value of Rise to it’s peg, but if after 3 days of no positive rebases, and not being within 5% of peg, then a supply adjustment occurs to automatically bring the price back to peg.
Frictionless yield technology is also embedded within the Rise Protocol, which means that just by holding the Rise token in your wallet, holders will receive extra tokens as a percentage of every buy and sell transaction is distributed back to the holders.
This combination of technology does not exist anywhere else in the whole of the Cryptoverse.
How does Rise Protocol work?
Rise Protocol runs on the Ethereum network, the worlds most popular Decentralized platform.
With a plethora of advanced technologies, such as frictionless yield, a dynamic and adaptable peg, powerful deflationary mechanisms, and auto-liquidity generation make the Rise Protocol the most advanced rebase token in the world.
A percentage of each buy and sell transaction is automatically distributed to all the holders meaning extra tokens for doing absolutely nothing, except holding the token in your wallet.
What are Rise Protocol key advantages?
Rise Protocol has the unique ability to peg to any asset class or combination of assets. Other rebase tokens have a static peg that can never be altered, meaning as market and investor sentiments change, they fail to adapt with it. Rise protocol solves this design flaw with our adaptable peg.
Unlike any other rebase token around, Rise also incorporates frictionless yield generation to reward holders, auto-liquidity generation and auto-reward distribution for liquidity providers.
Other rebase tokens will remove tokens on a daily basis from your wallet if the token price is below peg. Rise Protocol has powerful deflationary mechanisms that increase in effect over time. If a positive rebase is not achieved 3 days in a row then a supply adjustment occurs to bring the price of Rise back to peg.
What is Rise Protocol fee structure?
There is a 7% fee on all sales. This is broken down into the following :
3% sent to the black hole, burnt and destroyed forever.
1.5% permanently locked into liquidity.
1.5% automatically distributed to liquidity providers.
1% distributed automatically via frictionless yield to all holders.
There is a 3 % fee on all purchases. This is broken down into the following :
1% sent to the black hole, burnt and destroyed forever.
0.5% permanently locked into liquidity.
0.5% automatically distributed to liquidity providers.
1% distributed automatically via frictionless yield to all holders.
TOKEN DISTRIBUTION:
Initial total supply — 100,000 RISE
Presale — 37,500 RISE
Initial Uniswap Liquidity — 30,000 RISE
Seed investors (vested over 1 month) — 25,000 RISE
Team funds (vested over 2 months) — 5,000 RISE
Development & Marketing — 2,500 RISE
Looking for more information…
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Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!
#blockchain #bitcoin #crypto #rise protocol #rise
1623836330
“The DeFi token development like SafeMoon was initially launched in March 2021 and created huge hype among global users. It is noted that more than 2 million holders have adopted this SafeMoon token in recent times after its launch in the market. The DeFi token like SafeMoon has hit the market cap for about $2.5 billion. This digital currency has experienced a steady increase in its price value to top the crypto list in the trade market. The future of cryptocurrency is expanding wide opportunities for upcoming investors and startups to make their investments worthy.”
The SafeMoon like token development is becoming more popular in the real world, making investors go crazy over these digital currencies since their value is soaring high in the marketplace. The DeFi like SafeMoon token has grabbed users attention in less time when compared to other crypto tokens in the market. The SafeMoon like token exists on the blockchain for the long run and does not rely on any intermediaries like financial institutions or exchanges. It has a peer-to-peer (P2P) network that benefits global users from experiencing fast and secure transactions.
SafeMoon is considered a decentralized finance (DeFi) token with great demand and value in the crypto market. It is mainly known for its functionalities like Reflection, LP Acquisition and burning. The DeFi token like SafeMoon functions exactly like tokenomics of the reflected finance, and it is operated through the Binance Smart Chain framework. It is a combination of liquidity generating protocol and RFI tokenomics in the blockchain platform. The launch of the SafeMoon token eliminates the need for central authority like banks or governments to benefit the users with secure processing at high speed without any interruption.
The SafeMoon tokenomics describes the economic status of the crypto tokens and has a more sound monetary policy than other competitors in the market. However, it is figured that investment towards DeFi like SafeMoon tokens has a higher potential for returns to benefit the investors in future and the risk associated with it is less. The total supply of SafeMoon tokens is estimated at 1,000,000,000,000,000, and 600,000,000,000 of these tokens are still in circulation. Burned Dev tokens supply is calculated as 223,000,000,000,000, and the shorthand is 223 Trillion. The Fair launch supply is closed around 777,000,000,000,000, and it is circulated for about 777 Trillion.
The SafeMoon like DeFi token development is currently the fast-moving cryptos and struck the market cap for about $2,965,367,638. The SafeMoon token price value is found to be $0.000005065 that lured a wide range of audience attention in a short period. The total supply of tokens in the present is one quadrillion tokens.
The SafeMoon Protocol is considered as community-driven DeFi token that focuses on reflection, LP acquisition, and burn in each trade where the transaction is taxed into 5% fee redistributed to all existing holders, 5% fee is split into 50/50 where the half is sold by the contract into BNB and another half of SafeMoon tokens pairs with BNB and added as liquidity pair on PancakeSwap.
Safety: A step by step plan for ensuring 100% safety.
The reflect mechanism effectively allows token holders to hang on their tokens based on percentages carried out and relying upon total tokens held by owners. The static rewards play a significant role in solving a host of problems to benefit the investors with profits based on the volume of tokens being traded in the market. This mechanism focuses on satisfying the early adopters selling their tokens after farming high APYs.
The manual burns do matter at times, and sometimes they don’t. The continuous burn on any protocol is efficient for a shorter period, which means there is no possibility of controlling it in any way. It is necessary to have the SafeMoon like token burns controlled and promoted for further achievements over community rewards. It is possible that even manual burns and the amounts to be tracked down easily and advertised. The burn strategy of DeFi like SafeMoon token, is beneficial and rewarding for users engaged over the long term.
The SafeMoon protocol ensures to take the assets automatically from token holders and locks them for liquidity. The main intention is to keep the holder in touch with the performance of the SafeMoon token by preventing the dips from whales when they are adopted for the mass trade-off.
The DeFi like SafeMoon token, has great price value in the trade market with fewer fluctuations.
The DeFi token development like SafeMoon is the next game-changer for the upcoming generation to explore the benefits for their business growth. The investments towards DeFi like SafeMoon token has excellent value in the long run that benefits the investors with high returns. It is highly efficient for trade, buy/sell and transaction. Investors can connect with any reputed blockchain company with professional experience developing a world-class DeFi like SafeMoon token platform with high-end features cost-effectively.
#defi token development like safemoon #defi like safemoon token #defi like safemoon token platform #safemoon like token development #defi token like safemoon