What is Soccer Crypto (SOT) | What is SOT token

In this article, we'll discuss information about the Soccer Crypto project and SOT token. What is Soccer Crypto (SOT) | What is SOT token?

SoccerCrypto is a combination of passion for football and blockchain technology. We aim to create a platform not just for NFT collection, but also a platform for users to equip their NFT players with uniquely designed items. Besides, we seek to provide our users thrilling experiences of fast-paced multiplayer soccer matches!

In SoccerCrypto, players are able to play for free everyday and earn the tickets to participate in exclusive fiery matches to achieve tournaments’ grand prizes worth up to 10.000% ROI.

All SoccerCrypto’s characters have equal strength. Players will rely on skill and luck to collect valuable items. With the more masterful skill set, the more valuable items you can collect in our game and trade them on SoccerCrypto’s marketplace.

Highlight Features:

Own and take control NFT characters for playing to earn.
Design your own characters with unique accessories.
Challenge other players from all-over the world in real-time.
Big rewards are waiting for the Champions!

With the passion for football and blockchain technology, we have developed SoccerCrypto that simulates a football game on the Binance Smart Chain. Each match in SoccerCrypto lasts for 90 seconds, players can experience matches with several levels. We understand that it can be difficult for players when competing directly with opponents to reach higher levels. Therefore, SoccerCrypto also has simple daily tasks for you to easily receive gifts from the Publisher. The more time invested in the game, the better income players can earn.

In the stages of developing ideas and new features of the game, we always look forward to hearing from players, so that SoccerCrypto is a product of the community, developed by the community.

How To Play

Step 1: Use Meta Mask wallet to login to the Game,

Soccer Player offers a new player incentive program. After completing certain early missions, players, who register into the game and connect to their MetaMask wallet for the first time, will be rewarded with a Free NFT Box:

• Follow Soccer Crypto on Twitter

• Join the Soccer Crypto Telegram group

Players can open the Free Box and obtain NFT players to begin participating in our game modes.

Besides, users can buy Premium Box on Marketplace and open NFT

Step 2: After entering the game, you will see sections below on the screen:

Competition: You can select this section to start the game and earn token rewards
Inventory: where your NFTs are stored
NFT Marketplace: Buy Box NFT

Step 3: Join competition to start earning tokens. Equip your character with accessories for a higher winning rate

Step 4: Buy sell NFT on the marketplace

Upgrade - Repair NFT Players

NFT Players can be upgraded by using $SOW. The higher a player's rarity, the more points it has. Upgrade to increase the stats of the NFT Players, the higher the index, the higher the win rate.

Rarity (Player)	Point
Common	50
Rare	100
Epic	150
Legend	200

There are four major slots in which to place materials. There is also a special slot for special materials. When the rarity of the material equals the rarity of the NFT Players, the success rate is 50%. When using higher rarity NFT as material, the ratio will be 100%.

Repair

Over many matches, equipment and NFT players are likely to be damaged and have reduced durability, affecting the outcome of the match. For the best results, players need to use $SOW on NFT players and equipment to restore durability.

Marketplace

Marketplace is a feature that allows users to trade, purchase, or exchange their in-game assets in the form of NFT-721 and NFT-1155

A place that allows players to buy and sell NFT assets such as player, equipment. Marketplace needs to be connected to a wallet to participate in purchases

Transaction fee

When the sale is successful, the seller will pay 5% of the fee.

Token Economy

Dual token model will be applied in our game. Soccer Crypto has its own Tokenomics structure and uses BEP-721 NFTs for its gaming assets.

1. SOT

SOT Token: Governance token. The total supply is limited at 1B. SOT Token is the game native token, enabling players to purchase in-game assets and enjoy all game features.

You need $SOT for these operations:

Buy NFT Box
To buy items from NFT Marketplace
To join a tournament
Buy Energy Box to recovery for injuries

How to get $SOT?

Join a tournament and get a rank
Invite new players into the game and get referrals
Staking (version 2)

Summary

Total supply	1.000.000.000
Private sale	$30.000
Public sale	$500.000
Initial Market Cap	$288.000 (included liquidity)
Initial Circulation Supply	73,600,000
Total Diluted Market Cap	$10.000.000

Token allocation

No.	Allocation	%	TGE Unlock	Token Supply	Vesting
1	Private	1,00%	10%	10.000.000	TGE 10%, 3 months lock up, then linear vesting in 6 months
2	Public Sale	5,00%	25%	50.000.000	TGE 25%, 3 months lock up, then linear vesting in 6 months
3	Marketing	10,00%	15%	100.000.000	TGE 15%, 1 month lock up, then linear vesting in 18 months
4	Ecosystem growth/ Reward	30,00%	15	300.000.000	TGE 15%, then linear vesting in 18 months
5	Staking	11,00%	0%	110.000.000	Locked from TGE: Add gradually into Stake reward
6	Team	16,00%	0%	160.000.000	Lock up 12 months, then linear vesting in 12 months
7	Advisor	3,00%	10%	30.000.000	TGE 10%, then linear vesting in 12 months
8	Liquidity	12,00%	25%	120.000.000	TGE 25%, then linear vesting in 12 months
9	Reserves	12,00%	0%	120.000.000	Lock up 3 months, then linear vesting in 12 months
TOTAL		100,00%		1.000.000.000

Token allocation utility:

Investors: These tokens were sold to investors, and will be unlocked based on the vesting plan. Some investors have been selling their tokens for capital recovery purposes.

Founder & Team: These tokens are allocated to the founding team & project development team.

Advisors: These tokens are allocated to the project advisors, who help to consult, guide, and support the project in all related activities.

Reserve: The tokens are used as the project's reserve fund, balancing necessary activities, and supporting future expansion.

Game incentives: These tokens will be used to incentivize players participating in competitions and other activities in the game. This is to encourage user participation in the game and to maintain traction.

Liquidity: These tokens are used for the following main purposes:

Adding liquidity
Listing DEX, CEX exchanges
Activities to maintain liquidity and support SOT token price growth.

Marketing: These tokens will be used for various ecosystem-building initiatives, including marketing and partnership programs.

2. SOW

SOW Token: Unlimited supply. SOW is used as game incentive to motivate gamers. Users can earn SOW through P2E and daily missions. It is also used to improve the strength of NFT players and to repair equipment.

When players claim rewards from the game, that amount of $SOW will be minted, making the supply of $SOW increase. When players deposit $SOW into the game, that amount of $SOW are locked in our smart contract and will be burnt in batches.

You need $SOW for these operations:

To upgrade or repair NFT Players and equipments

How to get $SOW?

Join a friendly match and win the game
Follow Soccer Crypto social media accounts and participate events

Staking

11% of the SOT token supply (110.000.000) will be distributed via staking pools.

Users can stake $SOT token with APR up to 300%. Staking SOT tokens will reduce circulating supply and enable SOT token holders to earn annual yield while the Soccer Crypto user base is being grown. The staking will incentivize both existing and new SOT holders. The more tokens staked, the bigger the rewards.

Buyback and burn

After launch, Soccer Crypto will adopt buyback & burn as a deflationary mechanism to increase SOW tokens long-term value. The tokens are burnt in order to reduce the overall SOW tokens circulation, stabilize the token price and create deflation. The portion of game's revenue used for buyback & burn are:

1. Soccer Crypto NFT Marketplace - 100% of transaction fees go towards buyback and burn.

2. Profit of NFT Box Sales - 20% profit of the sales proceeds will be used for our marketing campaign, and buyback and burn.

3. Reserver Fund - 10% of Reserve Fund goes towards buyback and burn quarterly.

4. When players use $SOW to upgrade or repair NFT Players and equipment, $SOW tokens will be burned and $SOW circulating supply will be reduced significantly. 100% of upgrade fee will be used for buyback and burn.

5. Energy Box - 100% of energy box sales proceeds go towards buyback and burn.

Soccer Crypto will going to use the above fund to buy back $SOW tokens and then burn them monthly. We will make announcements regarding the buyback and burn program on our social media channels. The buyback and burn proceeds will be updated on a regular basis as our project progresses. This will continuously lower the supply, redistribute the value of the $SOW tokens to the remaining $SOW holders and push up $SOW price constantly.

Benefits of Buyback and Burn program

Support the growth and price stability of the token value once listed for secondary trading.
The token will be more attractive to investors.
Results in increased liquidity as the secondary market demand for trading the asset on exchanges will be higher. Increased liquidity in turn results in lower price volatility
Incentivizes long-term growth investors to HODL tokens, which further adds value to the asset.

How and Where to Buy SOT token?

SOT has been listed on a number of crypto exchanges, unlike other main cryptocurrencies, it cannot be directly purchased with fiats money. However, You can still easily buy this coin by first buying Bitcoin, ETH, USDT, BNB from any large exchanges and then transfer to the exchange that offers to trade this coin, in this guide article we will walk you through in detail the steps to buy SOT token.

You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.

Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

☞ SIGN UP ON BINANCE

Once finished you will then need to make a BTC/ETH/USDT/BNB deposit to the exchange from Binance depending on the available market pairs. After the deposit is confirmed you may then purchase SOT from the exchange.

The top exchange for trading in SOT token is currently: PancakeSwap (V2)

BEP-20 contracts: 0xde1a0f6c7078c5da0a6236eeb04261f4699905c5

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

☞ Binance ☞ Poloniex ☞ Bitfinex ☞ Huobi ☞ MXC ☞ ProBIT ☞ Gate.io

Find more information SOT token ☞ Website

🔺DISCLAIMER: The Information in the post isn’t financial advice, is intended FOR GENERAL INFORMATION PURPOSES ONLY. Trading Cryptocurrency is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money.

I hope this post will help you. Don't forget to leave a like, comment and sharing it with others. Thank you!

#bitcoin #cryptocurrency #token #coin

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Buddha Community

What is Soccer Crypto (SOT) | What is SOT token

Aylin Hazel

1648115675

Germany: 44% Will Invest in #Crypto and Join ‘The Future of Finance’

Germany was the first country to recognize #Bitcoins as “units of value” and that they could be classified as a “financial instrument.”

Legal regulation for the decentralized industry in Germany is ongoing. Now, 16% of the German population 18 to 60 are #crypto investors.

These people who own #cryptocurrencies or have traded cryptocurrencies in the past six months.

41% of these #crypto investors intend to increase the share of their investments in #crypto in the next six months. Another 13% of Germans are #crypto-curious.

They intend to invest in #cryptocurrencies too. Yet, only 23% of the #crypto-curious said they are highly likely to invest, with the rest remaining hesitant.

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.

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.

RubyDoc documentation.

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

#ruby #nlp

Mohammed Richards

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")

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

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 ])

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],
  # ...
]

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

ADELA DAVID

1623103200

How To Buy Munch Token (MUNCH) crypto/token in UNISWAP USING METAMASK OR TRUST WALLET

📺 The video in this post was made by Upcoming Gems
️ The origin of the article: https://www.youtube.com/watch?v=OT2lRkM_c8s

🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
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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

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