1609828425
To execute a 1inch punch, you need power, in Asian Martial Arts it is called as Chi / Qi, whose equivalent in the crypto space is our new Chi Gastoken. Now, any user can burn their Chi tokens and thereby save on gas.
What is a Gastoken?
Every transaction on the Ethereum network requires some gas. A Gastoken facilitates transactions with the same amount of work but less gas. A Gastoken takes advantage of the Ethereum storage refund, see Ethereum Yellow Paper. To encourage smart contracts to erase unnecessary storage, Ethereum provides a refund for each zeroed element. So, in the process of burning, a Gastoken’s smart contract erases storage that were filled during minting. The most efficient storage gas refunds are achieved by creating and destroying sub smart contract, not by direct writes and erases of the storage.
The idea for the Chi token is based on the original Gastoken GST2 implementation. We saw that there were ways to improve the efficiency with:
How much is Chi better than GST2?
The Chi token is 1% more optimized for minting, and 10% more efficient for burning.
Gastokens efficiency comparison. See https://www.desmos.com/calculator/9z3hnwzbbl
y = 15000 * x / (20065 + 5065 * x) // GST1
y = 24000 * x / (35974 + 6689 * x) // GST2
y = 24000 * x / (35678 + 6053 * x) // CHI
How Chi can be used?
The deployment of a Ethereum smart contract requires substantial gas, and it could cost you for example between $5 and $10 per million of gas, while regular smart contract could have size of several millions of gas. But burning Chi tokens in the same transaction would reduce these costs by almost the half.
We have built on ETHGlobal HackMoney Online Hackathon such a tool called Deployer.eth.
The support of Chi token can be integrated in any smart contract with just a few lines of code by using following modifier:
modifier discountCHI {
uint256 gasStart = gasleft();
_;
uint256 gasSpent = 21000 + gasStart — gasleft() + 16 *
msg.data.length;
chi.freeFromUpTo(msg.sender, (gasSpent + 14154) / 41947);
}
In this case, Chi tokens will be burned from the caller’s wallet (Chi tokens should be approved to the contract by the user).
In case of burning Chi tokens from the contract itself (rather than from a user’s wallet), you need to change msg.sender
in the chi.freeFromUpTo
function to address(this)
. And don’t forget to top up your contract with Chi tokens.
How can you mint Chi tokens?
You can mint Chi tokens directly on Etherscan. Another option is the Chi Minter on 1inch. To use it, you need to deactivate all exchanges, except for the Chi minter.
Chi Minter on 1inch
The maximum minting limit is 140 Chi tokens, which, in turn, is explained by the block limit. We deliberately use about one half of the block, so that miners won’t reject this type of transaction, which is less profitable for them.
If, for instance, you swap 1 ETH using Chi Minter, you get 140 Chi tokens and pay 20 GWEI for gas. But we won’t spend the entire 1 ETH as the minting of 140 Chi tokens doesn’t cost that much. Only what is actually spent will be spent:
5,125,271 gas x 20 GWEI = 5125271*20*1e9/1e18 = 0.10250542 ETH
So, only about 0.1 ETH will be spent, rather than 1 ETH.
One other thing. When you mint Chi tokens and indicate a low gas price, your wallet will be blocked. Therefore, we advise that you use a separate wallet specifically for minting Chi tokens.
How can you trade Chi Gastoken
It is also possible to trade Chi token on 1inch. For that you need to select Chi in the from token drop down and a token you wish to get in the to token dropdown. 1inch find the best place where to sell your Chi token.
Very important to understand for everyone:
Imagine Chi token as tokenized version of actual gas price on Ethereum. Means if the gas price grow. Chi token price also grow. If gas price in Ethereum drops, the same would also happen with Chi.
Selling Chi token on 1inch for the best market price
Of course you can set a limit order on 1inch with the rate you wish.
Limit order on 1inch
How to deploy a smart contract with less gas costs?
You need to approve the Chi token to deployer.eth. To do that, go to the _Write Contract _section on Chi. Find the approve function and trigger it with the deployer.eth address and approval amount.
Click on the _Deploy _button on remix.ide and copy data to deploy (0x6080604…). Don’t click on confirm.
Go to the _Write Contract _section on the deployer.eth contract and paste the deploy data to chiDeploy for Chi burning. Click Write and confirm the transaction in the popup MetaMask window.
Here we are! Only 51.18% of gas was used and 6 Chi tokens were burned.
Finally, go to the _Internal Transactions _section. There, you can find the deployed contract address. Just find _create_0 _below the Type Trace Address. In this line, below the _To _column you can see the deployed contract address.
Now go ahead and check out Chi for yourself!
Read more ☞ What is 1inch (1INCH) | What is 1inch Exchange | What is 1INCH token
Would you like to earn CHI token right now! ☞ CLICK HERE
Looking for more information…
☞ Website
☞ Explorer
☞ Source Code
☞ Coinmarketcap
Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!
#blockchain #bitcoin #crypto #chi gastoken #chi
1609828425
To execute a 1inch punch, you need power, in Asian Martial Arts it is called as Chi / Qi, whose equivalent in the crypto space is our new Chi Gastoken. Now, any user can burn their Chi tokens and thereby save on gas.
What is a Gastoken?
Every transaction on the Ethereum network requires some gas. A Gastoken facilitates transactions with the same amount of work but less gas. A Gastoken takes advantage of the Ethereum storage refund, see Ethereum Yellow Paper. To encourage smart contracts to erase unnecessary storage, Ethereum provides a refund for each zeroed element. So, in the process of burning, a Gastoken’s smart contract erases storage that were filled during minting. The most efficient storage gas refunds are achieved by creating and destroying sub smart contract, not by direct writes and erases of the storage.
The idea for the Chi token is based on the original Gastoken GST2 implementation. We saw that there were ways to improve the efficiency with:
How much is Chi better than GST2?
The Chi token is 1% more optimized for minting, and 10% more efficient for burning.
Gastokens efficiency comparison. See https://www.desmos.com/calculator/9z3hnwzbbl
y = 15000 * x / (20065 + 5065 * x) // GST1
y = 24000 * x / (35974 + 6689 * x) // GST2
y = 24000 * x / (35678 + 6053 * x) // CHI
How Chi can be used?
The deployment of a Ethereum smart contract requires substantial gas, and it could cost you for example between $5 and $10 per million of gas, while regular smart contract could have size of several millions of gas. But burning Chi tokens in the same transaction would reduce these costs by almost the half.
We have built on ETHGlobal HackMoney Online Hackathon such a tool called Deployer.eth.
The support of Chi token can be integrated in any smart contract with just a few lines of code by using following modifier:
modifier discountCHI {
uint256 gasStart = gasleft();
_;
uint256 gasSpent = 21000 + gasStart — gasleft() + 16 *
msg.data.length;
chi.freeFromUpTo(msg.sender, (gasSpent + 14154) / 41947);
}
In this case, Chi tokens will be burned from the caller’s wallet (Chi tokens should be approved to the contract by the user).
In case of burning Chi tokens from the contract itself (rather than from a user’s wallet), you need to change msg.sender
in the chi.freeFromUpTo
function to address(this)
. And don’t forget to top up your contract with Chi tokens.
How can you mint Chi tokens?
You can mint Chi tokens directly on Etherscan. Another option is the Chi Minter on 1inch. To use it, you need to deactivate all exchanges, except for the Chi minter.
Chi Minter on 1inch
The maximum minting limit is 140 Chi tokens, which, in turn, is explained by the block limit. We deliberately use about one half of the block, so that miners won’t reject this type of transaction, which is less profitable for them.
If, for instance, you swap 1 ETH using Chi Minter, you get 140 Chi tokens and pay 20 GWEI for gas. But we won’t spend the entire 1 ETH as the minting of 140 Chi tokens doesn’t cost that much. Only what is actually spent will be spent:
5,125,271 gas x 20 GWEI = 5125271*20*1e9/1e18 = 0.10250542 ETH
So, only about 0.1 ETH will be spent, rather than 1 ETH.
One other thing. When you mint Chi tokens and indicate a low gas price, your wallet will be blocked. Therefore, we advise that you use a separate wallet specifically for minting Chi tokens.
How can you trade Chi Gastoken
It is also possible to trade Chi token on 1inch. For that you need to select Chi in the from token drop down and a token you wish to get in the to token dropdown. 1inch find the best place where to sell your Chi token.
Very important to understand for everyone:
Imagine Chi token as tokenized version of actual gas price on Ethereum. Means if the gas price grow. Chi token price also grow. If gas price in Ethereum drops, the same would also happen with Chi.
Selling Chi token on 1inch for the best market price
Of course you can set a limit order on 1inch with the rate you wish.
Limit order on 1inch
How to deploy a smart contract with less gas costs?
You need to approve the Chi token to deployer.eth. To do that, go to the _Write Contract _section on Chi. Find the approve function and trigger it with the deployer.eth address and approval amount.
Click on the _Deploy _button on remix.ide and copy data to deploy (0x6080604…). Don’t click on confirm.
Go to the _Write Contract _section on the deployer.eth contract and paste the deploy data to chiDeploy for Chi burning. Click Write and confirm the transaction in the popup MetaMask window.
Here we are! Only 51.18% of gas was used and 6 Chi tokens were burned.
Finally, go to the _Internal Transactions _section. There, you can find the deployed contract address. Just find _create_0 _below the Type Trace Address. In this line, below the _To _column you can see the deployed contract address.
Now go ahead and check out Chi for yourself!
Read more ☞ What is 1inch (1INCH) | What is 1inch Exchange | What is 1INCH token
Would you like to earn CHI token right now! ☞ CLICK HERE
Looking for more information…
☞ Website
☞ Explorer
☞ Source Code
☞ Coinmarketcap
Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!
#blockchain #bitcoin #crypto #chi gastoken #chi
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
1621844791
The SafeMoon Token Clone Development is the new trendsetter in the digital world that brought significant changes to benefit the growth of investors’ business in a short period. The SafeMoon token clone is the most widely discussed topic among global users for its value soaring high in the marketplace. The SafeMoon token development is a combination of RFI tokenomics and the auto-liquidity generating process. The SafeMoon token is a replica of decentralized finance (DeFi) tokens that are highly scalable and implemented with tamper-proof security.
The SafeMoon tokens execute efficient functionalities like RFI Static Rewards, Automated Liquidity Provisions, and Automatic Token Burns. The SafeMoon token is considered the most advanced stable coin in the crypto market. It gained global audience attention for managing the stability of asset value without any fluctuations in the marketplace. The SafeMoon token clone is completely decentralized that eliminates the need for intermediaries and benefits the users with less transaction fee and wait time to overtake the traditional banking process.
The SafeMoon Token Clone Development is a promising future for upcoming investors and startups to increase their business revenue in less time. The SafeMoon token clone has great demand in the real world among millions of users for its value in the market. Investors can contact leading Infinite Block Tech to gain proper assistance in developing a world-class SafeMoon token clone that increases the business growth in less time.
#safemoon token #safemoon token clone #safemoon token clone development #defi token