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BabyFlokiCoin / Baby Floki Coin/** *Submitted for verification at BscScan.com on 2021-03-01 */ /** *Submitted for verification at BscScan.com on 2021-03-01 */ /** #BEE #LIQ+#RFI+#SHIB+#DOGE = #BEE #SAFEMOON features: 3% fee auto add to the liquidity pool to locked forever when selling 2% fee auto distribute to all holders I created a black hole so #Bee token will deflate itself in supply with every transaction 50% Supply is burned at start. */ pragma solidity ^0.6.12; // SPDX-License-Identifier: Unlicensed interface IERC20 { function totalSupply() external view returns (uint256); /** * @dev Returns the amount of tokens owned by `account`. */ function balanceOf(address account) external view returns (uint256); /** * @dev Moves `amount` tokens from the caller's account to `recipient`. * * Returns a boolean value indicating whether the operation succeeded. * * Emits a {Transfer} event. */ function transfer(address recipient, uint256 amount) external returns (bool); /** * @dev Returns the remaining number of tokens that `spender` will be * allowed to spend on behalf of `owner` through {transferFrom}. This is * zero by default. * * This value changes when {approve} or {transferFrom} are called. */ function allowance(address owner, address spender) external view returns (uint256); /** * @dev Sets `amount` as the allowance of `spender` over the caller's tokens. * * Returns a boolean value indicating whether the operation succeeded. * * IMPORTANT: Beware that changing an allowance with this method brings the risk * that someone may use both the old and the new allowance by unfortunate * transaction ordering. One possible solution to mitigate this race * condition is to first reduce the spender's allowance to 0 and set the * desired value afterwards: * https://github.com/ethereum/EIPs/issues/20#issuecomment-263524729 * * Emits an {Approval} event. */ function approve(address spender, uint256 amount) external returns (bool); /** * @dev Moves `amount` tokens from `sender` to `recipient` using the * allowance mechanism. `amount` is then deducted from the caller's * allowance. * * Returns a boolean value indicating whether the operation succeeded. * * Emits a {Transfer} event. */ function transferFrom(address sender, address recipient, uint256 amount) external returns (bool); /** * @dev Emitted when `value` tokens are moved from one account (`from`) to * another (`to`). * * Note that `value` may be zero. */ event Transfer(address indexed from, address indexed to, uint256 value); /** * @dev Emitted when the allowance of a `spender` for an `owner` is set by * a call to {approve}. `value` is the new allowance. */ event Approval(address indexed owner, address indexed spender, uint256 value); } /** * @dev Wrappers over Solidity's arithmetic operations with added overflow * checks. * * Arithmetic operations in Solidity wrap on overflow. This can easily result * in bugs, because programmers usually assume that an overflow raises an * error, which is the standard behavior in high level programming languages. * `SafeMath` restores this intuition by reverting the transaction when an * operation overflows. * * Using this library instead of the unchecked operations eliminates an entire * class of bugs, so it's recommended to use it always. */ library SafeMath { /** * @dev Returns the addition of two unsigned integers, reverting on * overflow. * * Counterpart to Solidity's `+` operator. * * Requirements: * * - Addition cannot overflow. */ function add(uint256 a, uint256 b) internal pure returns (uint256) { uint256 c = a + b; require(c >= a, "SafeMath: addition overflow"); return c; } /** * @dev Returns the subtraction of two unsigned integers, reverting on * overflow (when the result is negative). * * Counterpart to Solidity's `-` operator. * * Requirements: * * - Subtraction cannot overflow. */ function sub(uint256 a, uint256 b) internal pure returns (uint256) { return sub(a, b, "SafeMath: subtraction overflow"); } /** * @dev Returns the subtraction of two unsigned integers, reverting with custom message on * overflow (when the result is negative). * * Counterpart to Solidity's `-` operator. * * Requirements: * * - Subtraction cannot overflow. */ function sub(uint256 a, uint256 b, string memory errorMessage) internal pure returns (uint256) { require(b <= a, errorMessage); uint256 c = a - b; return c; } /** * @dev Returns the multiplication of two unsigned integers, reverting on * overflow. * * Counterpart to Solidity's `*` operator. * * Requirements: * * - Multiplication cannot overflow. */ function mul(uint256 a, uint256 b) internal pure returns (uint256) { // Gas optimization: this is cheaper than requiring 'a' not being zero, but the // benefit is lost if 'b' is also tested. // See: https://github.com/OpenZeppelin/openzeppelin-contracts/pull/522 if (a == 0) { return 0; } uint256 c = a * b; require(c / a == b, "SafeMath: multiplication overflow"); return c; } /** * @dev Returns the integer division of two unsigned integers. Reverts on * division by zero. The result is rounded towards zero. * * Counterpart to Solidity's `/` operator. Note: this function uses a * `revert` opcode (which leaves remaining gas untouched) while Solidity * uses an invalid opcode to revert (consuming all remaining gas). * * Requirements: * * - The divisor cannot be zero. */ function div(uint256 a, uint256 b) internal pure returns (uint256) { return div(a, b, "SafeMath: division by zero"); } /** * @dev Returns the integer division of two unsigned integers. Reverts with custom message on * division by zero. The result is rounded towards zero. * * Counterpart to Solidity's `/` operator. Note: this function uses a * `revert` opcode (which leaves remaining gas untouched) while Solidity * uses an invalid opcode to revert (consuming all remaining gas). * * Requirements: * * - The divisor cannot be zero. */ function div(uint256 a, uint256 b, string memory errorMessage) internal pure returns (uint256) { require(b > 0, errorMessage); uint256 c = a / b; // assert(a == b * c + a % b); // There is no case in which this doesn't hold return c; } /** * @dev Returns the remainder of dividing two unsigned integers. (unsigned integer modulo), * Reverts when dividing by zero. * * Counterpart to Solidity's `%` operator. This function uses a `revert` * opcode (which leaves remaining gas untouched) while Solidity uses an * invalid opcode to revert (consuming all remaining gas). * * Requirements: * * - The divisor cannot be zero. */ function mod(uint256 a, uint256 b) internal pure returns (uint256) { return mod(a, b, "SafeMath: modulo by zero"); } /** * @dev Returns the remainder of dividing two unsigned integers. (unsigned integer modulo), * Reverts with custom message when dividing by zero. * * Counterpart to Solidity's `%` operator. This function uses a `revert` * opcode (which leaves remaining gas untouched) while Solidity uses an * invalid opcode to revert (consuming all remaining gas). * * Requirements: * * - The divisor cannot be zero. */ function mod(uint256 a, uint256 b, string memory errorMessage) internal pure returns (uint256) { require(b != 0, errorMessage); return a % b; } } abstract contract Context { function _msgSender() internal view virtual returns (address payable) { return msg.sender; } function _msgData() internal view virtual returns (bytes memory) { this; // silence state mutability warning without generating bytecode - see https://github.com/ethereum/solidity/issues/2691 return msg.data; } } /** * @dev Collection of functions related to the address type */ library Address { /** * @dev Returns true if `account` is a contract. * * [IMPORTANT] * ==== * It is unsafe to assume that an address for which this function returns * false is an externally-owned account (EOA) and not a contract. * * Among others, `isContract` will return false for the following * types of addresses: * * - an externally-owned account * - a contract in construction * - an address where a contract will be created * - an address where a contract lived, but was destroyed * ==== */ function isContract(address account) internal view returns (bool) { // According to EIP-1052, 0x0 is the value returned for not-yet created accounts // and 0xc5d2460186f7233c927e7db2dcc703c0e500b653ca82273b7bfad8045d85a470 is returned // for accounts without code, i.e. `keccak256('')` bytes32 codehash; bytes32 accountHash = 0xc5d2460186f7233c927e7db2dcc703c0e500b653ca82273b7bfad8045d85a470; // solhint-disable-next-line no-inline-assembly assembly { codehash := extcodehash(account) } return (codehash != accountHash && codehash != 0x0); } /** * @dev Replacement for Solidity's `transfer`: sends `amount` wei to * `recipient`, forwarding all available gas and reverting on errors. * * https://eips.ethereum.org/EIPS/eip-1884[EIP1884] increases the gas cost * of certain opcodes, possibly making contracts go over the 2300 gas limit * imposed by `transfer`, making them unable to receive funds via * `transfer`. {sendValue} removes this limitation. * * https://diligence.consensys.net/posts/2019/09/stop-using-soliditys-transfer-now/[Learn more]. * * IMPORTANT: because control is transferred to `recipient`, care must be * taken to not create reentrancy vulnerabilities. Consider using * {ReentrancyGuard} or the * https://solidity.readthedocs.io/en/v0.5.11/security-considerations.html#use-the-checks-effects-interactions-pattern[checks-effects-interactions pattern]. */ function sendValue(address payable recipient, uint256 amount) internal { require(address(this).balance >= amount, "Address: insufficient balance"); // solhint-disable-next-line avoid-low-level-calls, avoid-call-value (bool success, ) = recipient.call{ value: amount }(""); require(success, "Address: unable to send value, recipient may have reverted"); } /** * @dev Performs a Solidity function call using a low level `call`. A * plain`call` is an unsafe replacement for a function call: use this * function instead. * * If `target` reverts with a revert reason, it is bubbled up by this * function (like regular Solidity function calls). * * Returns the raw returned data. To convert to the expected return value, * use https://solidity.readthedocs.io/en/latest/units-and-global-variables.html?highlight=abi.decode#abi-encoding-and-decoding-functions[`abi.decode`]. * * Requirements: * * - `target` must be a contract. * - calling `target` with `data` must not revert. * * _Available since v3.1._ */ function functionCall(address target, bytes memory data) internal returns (bytes memory) { return functionCall(target, data, "Address: low-level call failed"); } /** * @dev Same as {xref-Address-functionCall-address-bytes-}[`functionCall`], but with * `errorMessage` as a fallback revert reason when `target` reverts. * * _Available since v3.1._ */ function functionCall(address target, bytes memory data, string memory errorMessage) internal returns (bytes memory) { return _functionCallWithValue(target, data, 0, errorMessage); } /** * @dev Same as {xref-Address-functionCall-address-bytes-}[`functionCall`], * but also transferring `value` wei to `target`. * * Requirements: * * - the calling contract must have an ETH balance of at least `value`. * - the called Solidity function must be `payable`. * * _Available since v3.1._ */ function functionCallWithValue(address target, bytes memory data, uint256 value) internal returns (bytes memory) { return functionCallWithValue(target, data, value, "Address: low-level call with value failed"); } /** * @dev Same as {xref-Address-functionCallWithValue-address-bytes-uint256-}[`functionCallWithValue`], but * with `errorMessage` as a fallback revert reason when `target` reverts. * * _Available since v3.1._ */ function functionCallWithValue(address target, bytes memory data, uint256 value, string memory errorMessage) internal returns (bytes memory) { require(address(this).balance >= value, "Address: insufficient balance for call"); return _functionCallWithValue(target, data, value, errorMessage); } function _functionCallWithValue(address target, bytes memory data, uint256 weiValue, string memory errorMessage) private returns (bytes memory) { require(isContract(target), "Address: call to non-contract"); // solhint-disable-next-line avoid-low-level-calls (bool success, bytes memory returndata) = target.call{ value: weiValue }(data); if (success) { return returndata; } else { // Look for revert reason and bubble it up if present if (returndata.length > 0) { // The easiest way to bubble the revert reason is using memory via assembly // solhint-disable-next-line no-inline-assembly assembly { let returndata_size := mload(returndata) revert(add(32, returndata), returndata_size) } } else { revert(errorMessage); } } } } /** * @dev Contract module which provides a basic access control mechanism, where * there is an account (an owner) that can be granted exclusive access to * specific functions. * * By default, the owner account will be the one that deploys the contract. This * can later be changed with {transferOwnership}. * * This module is used through inheritance. It will make available the modifier * `onlyOwner`, which can be applied to your functions to restrict their use to * the owner. */ contract Ownable is Context { address private _owner; address private _previousOwner; uint256 private _lockTime; event OwnershipTransferred(address indexed previousOwner, address indexed newOwner); /** * @dev Initializes the contract setting the deployer as the initial owner. */ constructor () internal { address msgSender = _msgSender(); _owner = msgSender; emit OwnershipTransferred(address(0), msgSender); } /** * @dev Returns the address of the current owner. */ function owner() public view returns (address) { return _owner; } /** * @dev Throws if called by any account other than the owner. */ modifier onlyOwner() { require(_owner == _msgSender(), "Ownable: caller is not the owner"); _; } /** * @dev Leaves the contract without owner. It will not be possible to call * `onlyOwner` functions anymore. Can only be called by the current owner. * * NOTE: Renouncing ownership will leave the contract without an owner, * thereby removing any functionality that is only available to the owner. */ function renounceOwnership() public virtual onlyOwner { emit OwnershipTransferred(_owner, address(0)); _owner = address(0); } /** * @dev Transfers ownership of the contract to a new account (`newOwner`). * Can only be called by the current owner. */ function transferOwnership(address newOwner) public virtual onlyOwner { require(newOwner != address(0), "Ownable: new owner is the zero address"); emit OwnershipTransferred(_owner, newOwner); _owner = newOwner; } function geUnlockTime() public view returns (uint256) { return _lockTime; } //Locks the contract for owner for the amount of time provided function lock(uint256 time) public virtual onlyOwner { _previousOwner = _owner; _owner = address(0); _lockTime = now + time; emit OwnershipTransferred(_owner, address(0)); } //Unlocks the contract for owner when _lockTime is exceeds function unlock() public virtual { require(_previousOwner == msg.sender, "You don't have permission to unlock"); require(now > _lockTime , "Contract is locked until 7 days"); emit OwnershipTransferred(_owner, _previousOwner); _owner = _previousOwner; } } // pragma solidity >=0.5.0; interface IUniswapV2Factory { event PairCreated(address indexed token0, address indexed token1, address pair, uint); function feeTo() external view returns (address); function feeToSetter() external view returns (address); function getPair(address tokenA, address tokenB) external view returns (address pair); function allPairs(uint) external view returns (address pair); function allPairsLength() external view returns (uint); function createPair(address tokenA, address tokenB) external returns (address pair); function setFeeTo(address) external; function setFeeToSetter(address) external; } // pragma solidity >=0.5.0; interface IUniswapV2Pair { event Approval(address indexed owner, address indexed spender, uint value); event Transfer(address indexed from, address indexed to, uint value); function name() external pure returns (string memory); function symbol() external pure returns (string memory); function decimals() external pure returns (uint8); function totalSupply() external view returns (uint); function balanceOf(address owner) external view returns (uint); function allowance(address owner, address spender) external view returns (uint); function approve(address spender, uint value) external returns (bool); function transfer(address to, uint value) external returns (bool); function transferFrom(address from, address to, uint value) external returns (bool); function DOMAIN_SEPARATOR() external view returns (bytes32); function PERMIT_TYPEHASH() external pure returns (bytes32); function nonces(address owner) external view returns (uint); function permit(address owner, address spender, uint value, uint deadline, uint8 v, bytes32 r, bytes32 s) external; event Mint(address indexed sender, uint amount0, uint amount1); event Burn(address indexed sender, uint amount0, uint amount1, address indexed to); event Swap( address indexed sender, uint amount0In, uint amount1In, uint amount0Out, uint amount1Out, address indexed to ); event Sync(uint112 reserve0, uint112 reserve1); function MINIMUM_LIQUIDITY() external pure returns (uint); function factory() external view returns (address); function token0() external view returns (address); function token1() external view returns (address); function getReserves() external view returns (uint112 reserve0, uint112 reserve1, uint32 blockTimestampLast); function price0CumulativeLast() external view returns (uint); function price1CumulativeLast() external view returns (uint); function kLast() external view returns (uint); function mint(address to) external returns (uint liquidity); function burn(address to) external returns (uint amount0, uint amount1); function swap(uint amount0Out, uint amount1Out, address to, bytes calldata data) external; function skim(address to) external; function sync() external; function initialize(address, address) external; } // pragma solidity >=0.6.2; interface IUniswapV2Router01 { function factory() external pure returns (address); function WETH() external pure returns (address); function addLiquidity( address tokenA, address tokenB, uint amountADesired, uint amountBDesired, uint amountAMin, uint amountBMin, address to, uint deadline ) external returns (uint amountA, uint amountB, uint liquidity); function addLiquidityETH( address token, uint amountTokenDesired, uint amountTokenMin, uint amountETHMin, address to, uint deadline ) external payable returns (uint amountToken, uint amountETH, uint liquidity); function removeLiquidity( address tokenA, address tokenB, uint liquidity, uint amountAMin, uint amountBMin, address to, uint deadline ) external returns (uint amountA, uint amountB); function removeLiquidityETH( address token, uint liquidity, uint amountTokenMin, uint amountETHMin, address to, uint deadline ) external returns (uint amountToken, uint amountETH); function removeLiquidityWithPermit( address tokenA, address tokenB, uint liquidity, uint amountAMin, uint amountBMin, address to, uint deadline, bool approveMax, uint8 v, bytes32 r, bytes32 s ) external returns (uint amountA, uint amountB); function removeLiquidityETHWithPermit( address token, uint liquidity, uint amountTokenMin, uint amountETHMin, address to, uint deadline, bool approveMax, uint8 v, bytes32 r, bytes32 s ) external returns (uint amountToken, uint amountETH); function swapExactTokensForTokens( uint amountIn, uint amountOutMin, address[] calldata path, address to, uint deadline ) external returns (uint[] memory amounts); function swapTokensForExactTokens( uint amountOut, uint amountInMax, address[] calldata path, address to, uint deadline ) external returns (uint[] memory amounts); function swapExactETHForTokens(uint amountOutMin, address[] calldata path, address to, uint deadline) external payable returns (uint[] memory amounts); function swapTokensForExactETH(uint amountOut, uint amountInMax, address[] calldata path, address to, uint deadline) external returns (uint[] memory amounts); function swapExactTokensForETH(uint amountIn, uint amountOutMin, address[] calldata path, address to, uint deadline) external returns (uint[] memory amounts); function swapETHForExactTokens(uint amountOut, address[] calldata path, address to, uint deadline) external payable returns (uint[] memory amounts); function quote(uint amountA, uint reserveA, uint reserveB) external pure returns (uint amountB); function getAmountOut(uint amountIn, uint reserveIn, uint reserveOut) external pure returns (uint amountOut); function getAmountIn(uint amountOut, uint reserveIn, uint reserveOut) external pure returns (uint amountIn); function getAmountsOut(uint amountIn, address[] calldata path) external view returns (uint[] memory amounts); function getAmountsIn(uint amountOut, address[] calldata path) external view returns (uint[] memory amounts); } // pragma solidity >=0.6.2; interface IUniswapV2Router02 is IUniswapV2Router01 { function removeLiquidityETHSupportingFeeOnTransferTokens( address token, uint liquidity, uint amountTokenMin, uint amountETHMin, address to, uint deadline ) external returns (uint amountETH); function removeLiquidityETHWithPermitSupportingFeeOnTransferTokens( address token, uint liquidity, uint amountTokenMin, uint amountETHMin, address to, uint deadline, bool approveMax, uint8 v, bytes32 r, bytes32 s ) external returns (uint amountETH); function swapExactTokensForTokensSupportingFeeOnTransferTokens( uint amountIn, uint amountOutMin, address[] calldata path, address to, uint deadline ) external; function swapExactETHForTokensSupportingFeeOnTransferTokens( uint amountOutMin, address[] calldata path, address to, uint deadline ) external payable; function swapExactTokensForETHSupportingFeeOnTransferTokens( uint amountIn, uint amountOutMin, address[] calldata path, address to, uint deadline ) external; } contract SafeMoon is Context, IERC20, Ownable { using SafeMath for uint256; using Address for address; mapping (address => uint256) private _rOwned; mapping (address => uint256) private _tOwned; mapping (address => mapping (address => uint256)) private _allowances; mapping (address => bool) private _isExcludedFromFee; mapping (address => bool) private _isExcluded; address[] private _excluded; uint256 private constant MAX = ~uint256(0); uint256 private _tTotal = 1000000000 * 10**6 * 10**9; uint256 private _rTotal = (MAX - (MAX % _tTotal)); uint256 private _tFeeTotal; string private _name = "SafeMoon"; string private _symbol = "SAFEMOON"; uint8 private _decimals = 9; uint256 public _taxFee = 5; uint256 private _previousTaxFee = _taxFee; uint256 public _liquidityFee = 5; uint256 private _previousLiquidityFee = _liquidityFee; IUniswapV2Router02 public immutable uniswapV2Router; address public immutable uniswapV2Pair; bool inSwapAndLiquify; bool public swapAndLiquifyEnabled = true; uint256 public _maxTxAmount = 5000000 * 10**6 * 10**9; uint256 private numTokensSellToAddToLiquidity = 500000 * 10**6 * 10**9; event MinTokensBeforeSwapUpdated(uint256 minTokensBeforeSwap); event SwapAndLiquifyEnabledUpdated(bool enabled); event SwapAndLiquify( uint256 tokensSwapped, uint256 ethReceived, uint256 tokensIntoLiqudity ); modifier lockTheSwap { inSwapAndLiquify = true; _; inSwapAndLiquify = false; } constructor () public { _rOwned[_msgSender()] = _rTotal; IUniswapV2Router02 _uniswapV2Router = IUniswapV2Router02(0x05fF2B0DB69458A0750badebc4f9e13aDd608C7F); // Create a uniswap pair for this new token uniswapV2Pair = IUniswapV2Factory(_uniswapV2Router.factory()) .createPair(address(this), _uniswapV2Router.WETH()); // set the rest of the contract variables uniswapV2Router = _uniswapV2Router; //exclude owner and this contract from fee _isExcludedFromFee[owner()] = true; _isExcludedFromFee[address(this)] = true; emit Transfer(address(0), _msgSender(), _tTotal); } function name() public view returns (string memory) { return _name; } function symbol() public view returns (string memory) { return _symbol; } function decimals() public view returns (uint8) { return _decimals; } function totalSupply() public view override returns (uint256) { return _tTotal; } function balanceOf(address account) public view override returns (uint256) { if (_isExcluded[account]) return _tOwned[account]; return tokenFromReflection(_rOwned[account]); } function transfer(address recipient, uint256 amount) public override returns (bool) { _transfer(_msgSender(), recipient, amount); return true; } function allowance(address owner, address spender) public view override returns (uint256) { return _allowances[owner][spender]; } function approve(address spender, uint256 amount) public override returns (bool) { _approve(_msgSender(), spender, amount); return true; } function transferFrom(address sender, address recipient, uint256 amount) public override returns (bool) { _transfer(sender, recipient, amount); _approve(sender, _msgSender(), _allowances[sender][_msgSender()].sub(amount, "ERC20: transfer amount exceeds allowance")); return true; } function increaseAllowance(address spender, uint256 addedValue) public virtual returns (bool) { _approve(_msgSender(), spender, _allowances[_msgSender()][spender].add(addedValue)); return true; } function decreaseAllowance(address spender, uint256 subtractedValue) public virtual returns (bool) { _approve(_msgSender(), spender, _allowances[_msgSender()][spender].sub(subtractedValue, "ERC20: decreased allowance below zero")); return true; } function isExcludedFromReward(address account) public view returns (bool) { return _isExcluded[account]; } function totalFees() public view returns (uint256) { return _tFeeTotal; } function deliver(uint256 tAmount) public { address sender = _msgSender(); require(!_isExcluded[sender], "Excluded addresses cannot call this function"); (uint256 rAmount,,,,,) = _getValues(tAmount); _rOwned[sender] = _rOwned[sender].sub(rAmount); _rTotal = _rTotal.sub(rAmount); _tFeeTotal = _tFeeTotal.add(tAmount); } function reflectionFromToken(uint256 tAmount, bool deductTransferFee) public view returns(uint256) { require(tAmount <= _tTotal, "Amount must be less than supply"); if (!deductTransferFee) { (uint256 rAmount,,,,,) = _getValues(tAmount); return rAmount; } else { (,uint256 rTransferAmount,,,,) = _getValues(tAmount); return rTransferAmount; } } function tokenFromReflection(uint256 rAmount) public view returns(uint256) { require(rAmount <= _rTotal, "Amount must be less than total reflections"); uint256 currentRate = _getRate(); return rAmount.div(currentRate); } function excludeFromReward(address account) public onlyOwner() { // require(account != 0x7a250d5630B4cF539739dF2C5dAcb4c659F2488D, 'We can not exclude Uniswap router.'); require(!_isExcluded[account], "Account is already excluded"); if(_rOwned[account] > 0) { _tOwned[account] = tokenFromReflection(_rOwned[account]); } _isExcluded[account] = true; _excluded.push(account); } function includeInReward(address account) external onlyOwner() { require(_isExcluded[account], "Account is already excluded"); for (uint256 i = 0; i < _excluded.length; i++) { if (_excluded[i] == account) { _excluded[i] = _excluded[_excluded.length - 1]; _tOwned[account] = 0; _isExcluded[account] = false; _excluded.pop(); break; } } } function _transferBothExcluded(address sender, address recipient, uint256 tAmount) private { (uint256 rAmount, uint256 rTransferAmount, uint256 rFee, uint256 tTransferAmount, uint256 tFee, uint256 tLiquidity) = _getValues(tAmount); _tOwned[sender] = _tOwned[sender].sub(tAmount); _rOwned[sender] = _rOwned[sender].sub(rAmount); _tOwned[recipient] = _tOwned[recipient].add(tTransferAmount); _rOwned[recipient] = _rOwned[recipient].add(rTransferAmount); _takeLiquidity(tLiquidity); _reflectFee(rFee, tFee); emit Transfer(sender, recipient, tTransferAmount); } function excludeFromFee(address account) public onlyOwner { _isExcludedFromFee[account] = true; } function includeInFee(address account) public onlyOwner { _isExcludedFromFee[account] = false; } function setTaxFeePercent(uint256 taxFee) external onlyOwner() { _taxFee = taxFee; } function setLiquidityFeePercent(uint256 liquidityFee) external onlyOwner() { _liquidityFee = liquidityFee; } function setMaxTxPercent(uint256 maxTxPercent) external onlyOwner() { _maxTxAmount = _tTotal.mul(maxTxPercent).div( 10**2 ); } function setSwapAndLiquifyEnabled(bool _enabled) public onlyOwner { swapAndLiquifyEnabled = _enabled; emit SwapAndLiquifyEnabledUpdated(_enabled); } //to recieve ETH from uniswapV2Router when swaping receive() external payable {} function _reflectFee(uint256 rFee, uint256 tFee) private { _rTotal = _rTotal.sub(rFee); _tFeeTotal = _tFeeTotal.add(tFee); } function _getValues(uint256 tAmount) private view returns (uint256, uint256, uint256, uint256, uint256, uint256) { (uint256 tTransferAmount, uint256 tFee, uint256 tLiquidity) = _getTValues(tAmount); (uint256 rAmount, uint256 rTransferAmount, uint256 rFee) = _getRValues(tAmount, tFee, tLiquidity, _getRate()); return (rAmount, rTransferAmount, rFee, tTransferAmount, tFee, tLiquidity); } function _getTValues(uint256 tAmount) private view returns (uint256, uint256, uint256) { uint256 tFee = calculateTaxFee(tAmount); uint256 tLiquidity = calculateLiquidityFee(tAmount); uint256 tTransferAmount = tAmount.sub(tFee).sub(tLiquidity); return (tTransferAmount, tFee, tLiquidity); } function _getRValues(uint256 tAmount, uint256 tFee, uint256 tLiquidity, uint256 currentRate) private pure returns (uint256, uint256, uint256) { uint256 rAmount = tAmount.mul(currentRate); uint256 rFee = tFee.mul(currentRate); uint256 rLiquidity = tLiquidity.mul(currentRate); uint256 rTransferAmount = rAmount.sub(rFee).sub(rLiquidity); return (rAmount, rTransferAmount, rFee); } function _getRate() private view returns(uint256) { (uint256 rSupply, uint256 tSupply) = _getCurrentSupply(); return rSupply.div(tSupply); } function _getCurrentSupply() private view returns(uint256, uint256) { uint256 rSupply = _rTotal; uint256 tSupply = _tTotal; for (uint256 i = 0; i < _excluded.length; i++) { if (_rOwned[_excluded[i]] > rSupply || _tOwned[_excluded[i]] > tSupply) return (_rTotal, _tTotal); rSupply = rSupply.sub(_rOwned[_excluded[i]]); tSupply = tSupply.sub(_tOwned[_excluded[i]]); } if (rSupply < _rTotal.div(_tTotal)) return (_rTotal, _tTotal); return (rSupply, tSupply); } function _takeLiquidity(uint256 tLiquidity) private { uint256 currentRate = _getRate(); uint256 rLiquidity = tLiquidity.mul(currentRate); _rOwned[address(this)] = _rOwned[address(this)].add(rLiquidity); if(_isExcluded[address(this)]) _tOwned[address(this)] = _tOwned[address(this)].add(tLiquidity); } function calculateTaxFee(uint256 _amount) private view returns (uint256) { return _amount.mul(_taxFee).div( 10**2 ); } function calculateLiquidityFee(uint256 _amount) private view returns (uint256) { return _amount.mul(_liquidityFee).div( 10**2 ); } function removeAllFee() private { if(_taxFee == 0 && _liquidityFee == 0) return; _previousTaxFee = _taxFee; _previousLiquidityFee = _liquidityFee; _taxFee = 0; _liquidityFee = 0; } function restoreAllFee() private { _taxFee = _previousTaxFee; _liquidityFee = _previousLiquidityFee; } function isExcludedFromFee(address account) public view returns(bool) { return _isExcludedFromFee[account]; } function _approve(address owner, address spender, uint256 amount) private { require(owner != address(0), "ERC20: approve from the zero address"); require(spender != address(0), "ERC20: approve to the zero address"); _allowances[owner][spender] = amount; emit Approval(owner, spender, amount); } function _transfer( address from, address to, uint256 amount ) private { require(from != address(0), "ERC20: transfer from the zero address"); require(to != address(0), "ERC20: transfer to the zero address"); require(amount > 0, "Transfer amount must be greater than zero"); if(from != owner() && to != owner()) require(amount <= _maxTxAmount, "Transfer amount exceeds the maxTxAmount."); // is the token balance of this contract address over the min number of // tokens that we need to initiate a swap + liquidity lock? // also, don't get caught in a circular liquidity event. // also, don't swap & liquify if sender is uniswap pair. uint256 contractTokenBalance = balanceOf(address(this)); if(contractTokenBalance >= _maxTxAmount) { contractTokenBalance = _maxTxAmount; } bool overMinTokenBalance = contractTokenBalance >= numTokensSellToAddToLiquidity; if ( overMinTokenBalance && !inSwapAndLiquify && from != uniswapV2Pair && swapAndLiquifyEnabled ) { contractTokenBalance = numTokensSellToAddToLiquidity; //add liquidity swapAndLiquify(contractTokenBalance); } //indicates if fee should be deducted from transfer bool takeFee = true; //if any account belongs to _isExcludedFromFee account then remove the fee if(_isExcludedFromFee[from] || _isExcludedFromFee[to]){ takeFee = false; } //transfer amount, it will take tax, burn, liquidity fee _tokenTransfer(from,to,amount,takeFee); } function swapAndLiquify(uint256 contractTokenBalance) private lockTheSwap { // split the contract balance into halves uint256 half = contractTokenBalance.div(2); uint256 otherHalf = contractTokenBalance.sub(half); // capture the contract's current ETH balance. // this is so that we can capture exactly the amount of ETH that the // swap creates, and not make the liquidity event include any ETH that // has been manually sent to the contract uint256 initialBalance = address(this).balance; // swap tokens for ETH swapTokensForEth(half); // <- this breaks the ETH -> HATE swap when swap+liquify is triggered // how much ETH did we just swap into? uint256 newBalance = address(this).balance.sub(initialBalance); // add liquidity to uniswap addLiquidity(otherHalf, newBalance); emit SwapAndLiquify(half, newBalance, otherHalf); } function swapTokensForEth(uint256 tokenAmount) private { // generate the uniswap pair path of token -> weth address[] memory path = new address[](2); path[0] = address(this); path[1] = uniswapV2Router.WETH(); _approve(address(this), address(uniswapV2Router), tokenAmount); // make the swap uniswapV2Router.swapExactTokensForETHSupportingFeeOnTransferTokens( tokenAmount, 0, // accept any amount of ETH path, address(this), block.timestamp ); } function addLiquidity(uint256 tokenAmount, uint256 ethAmount) private { // approve token transfer to cover all possible scenarios _approve(address(this), address(uniswapV2Router), tokenAmount); // add the liquidity uniswapV2Router.addLiquidityETH{value: ethAmount}( address(this), tokenAmount, 0, // slippage is unavoidable 0, // slippage is unavoidable owner(), block.timestamp ); } //this method is responsible for taking all fee, if takeFee is true function _tokenTransfer(address sender, address recipient, uint256 amount,bool takeFee) private { if(!takeFee) removeAllFee(); if (_isExcluded[sender] && !_isExcluded[recipient]) { _transferFromExcluded(sender, recipient, amount); } else if (!_isExcluded[sender] && _isExcluded[recipient]) { _transferToExcluded(sender, recipient, amount); } else if (!_isExcluded[sender] && !_isExcluded[recipient]) { _transferStandard(sender, recipient, amount); } else if (_isExcluded[sender] && _isExcluded[recipient]) { _transferBothExcluded(sender, recipient, amount); } else { _transferStandard(sender, recipient, amount); } if(!takeFee) restoreAllFee(); } function _transferStandard(address sender, address recipient, uint256 tAmount) private { (uint256 rAmount, uint256 rTransferAmount, uint256 rFee, uint256 tTransferAmount, uint256 tFee, uint256 tLiquidity) = _getValues(tAmount); _rOwned[sender] = _rOwned[sender].sub(rAmount); _rOwned[recipient] = _rOwned[recipient].add(rTransferAmount); _takeLiquidity(tLiquidity); _reflectFee(rFee, tFee); emit Transfer(sender, recipient, tTransferAmount); } function _transferToExcluded(address sender, address recipient, uint256 tAmount) private { (uint256 rAmount, uint256 rTransferAmount, uint256 rFee, uint256 tTransferAmount, uint256 tFee, uint256 tLiquidity) = _getValues(tAmount); _rOwned[sender] = _rOwned[sender].sub(rAmount); _tOwned[recipient] = _tOwned[recipient].add(tTransferAmount); _rOwned[recipient] = _rOwned[recipient].add(rTransferAmount); _takeLiquidity(tLiquidity); _reflectFee(rFee, tFee); emit Transfer(sender, recipient, tTransferAmount); } function _transferFromExcluded(address sender, address recipient, uint256 tAmount) private { (uint256 rAmount, uint256 rTransferAmount, uint256 rFee, uint256 tTransferAmount, uint256 tFee, uint256 tLiquidity) = _getValues(tAmount); _tOwned[sender] = _tOwned[sender].sub(tAmount); _rOwned[sender] = _rOwned[sender].sub(rAmount); _rOwned[recipient] = _rOwned[recipient].add(rTransferAmount); _takeLiquidity(tLiquidity); _reflectFee(rFee, tFee); emit Transfer(sender, recipient, tTransferAmount); } }
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Aryia-Behroziuan / NumpyQuickstart tutorial Prerequisites Before reading this tutorial you should know a bit of Python. If you would like to refresh your memory, take a look at the Python tutorial. If you wish to work the examples in this tutorial, you must also have some software installed on your computer. Please see https://scipy.org/install.html for instructions. Learner profile This tutorial is intended as a quick overview of algebra and arrays in NumPy and want to understand how n-dimensional (n>=2) arrays are represented and can be manipulated. In particular, if you don’t know how to apply common functions to n-dimensional arrays (without using for-loops), or if you want to understand axis and shape properties for n-dimensional arrays, this tutorial might be of help. Learning Objectives After this tutorial, you should be able to: Understand the difference between one-, two- and n-dimensional arrays in NumPy; Understand how to apply some linear algebra operations to n-dimensional arrays without using for-loops; Understand axis and shape properties for n-dimensional arrays. The Basics NumPy’s main object is the homogeneous multidimensional array. It is a table of elements (usually numbers), all of the same type, indexed by a tuple of non-negative integers. In NumPy dimensions are called axes. For example, the coordinates of a point in 3D space [1, 2, 1] has one axis. That axis has 3 elements in it, so we say it has a length of 3. In the example pictured below, the array has 2 axes. The first axis has a length of 2, the second axis has a length of 3. [[ 1., 0., 0.], [ 0., 1., 2.]] NumPy’s array class is called ndarray. It is also known by the alias array. Note that numpy.array is not the same as the Standard Python Library class array.array, which only handles one-dimensional arrays and offers less functionality. The more important attributes of an ndarray object are: ndarray.ndim the number of axes (dimensions) of the array. ndarray.shape the dimensions of the array. This is a tuple of integers indicating the size of the array in each dimension. For a matrix with n rows and m columns, shape will be (n,m). The length of the shape tuple is therefore the number of axes, ndim. ndarray.size the total number of elements of the array. This is equal to the product of the elements of shape. ndarray.dtype an object describing the type of the elements in the array. One can create or specify dtype’s using standard Python types. Additionally NumPy provides types of its own. numpy.int32, numpy.int16, and numpy.float64 are some examples. ndarray.itemsize the size in bytes of each element of the array. For example, an array of elements of type float64 has itemsize 8 (=64/8), while one of type complex32 has itemsize 4 (=32/8). It is equivalent to ndarray.dtype.itemsize. ndarray.data the buffer containing the actual elements of the array. Normally, we won’t need to use this attribute because we will access the elements in an array using indexing facilities. An example >>> import numpy as np a = np.arange(15).reshape(3, 5) a array([[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14]]) a.shape (3, 5) a.ndim 2 a.dtype.name 'int64' a.itemsize 8 a.size 15 type(a) <class 'numpy.ndarray'> b = np.array([6, 7, 8]) b array([6, 7, 8]) type(b) <class 'numpy.ndarray'> Array Creation There are several ways to create arrays. For example, you can create an array from a regular Python list or tuple using the array function. The type of the resulting array is deduced from the type of the elements in the sequences. >>> >>> import numpy as np >>> a = np.array([2,3,4]) >>> a array([2, 3, 4]) >>> a.dtype dtype('int64') >>> b = np.array([1.2, 3.5, 5.1]) >>> b.dtype dtype('float64') A frequent error consists in calling array with multiple arguments, rather than providing a single sequence as an argument. >>> >>> a = np.array(1,2,3,4) # WRONG Traceback (most recent call last): ... TypeError: array() takes from 1 to 2 positional arguments but 4 were given >>> a = np.array([1,2,3,4]) # RIGHT array transforms sequences of sequences into two-dimensional arrays, sequences of sequences of sequences into three-dimensional arrays, and so on. >>> >>> b = np.array([(1.5,2,3), (4,5,6)]) >>> b array([[1.5, 2. , 3. ], [4. , 5. , 6. ]]) The type of the array can also be explicitly specified at creation time: >>> >>> c = np.array( [ [1,2], [3,4] ], dtype=complex ) >>> c array([[1.+0.j, 2.+0.j], [3.+0.j, 4.+0.j]]) Often, the elements of an array are originally unknown, but its size is known. Hence, NumPy offers several functions to create arrays with initial placeholder content. These minimize the necessity of growing arrays, an expensive operation. The function zeros creates an array full of zeros, the function ones creates an array full of ones, and the function empty creates an array whose initial content is random and depends on the state of the memory. By default, the dtype of the created array is float64. >>> >>> np.zeros((3, 4)) array([[0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.]]) >>> np.ones( (2,3,4), dtype=np.int16 ) # dtype can also be specified array([[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]], [[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]], dtype=int16) >>> np.empty( (2,3) ) # uninitialized array([[ 3.73603959e-262, 6.02658058e-154, 6.55490914e-260], # may vary [ 5.30498948e-313, 3.14673309e-307, 1.00000000e+000]]) To create sequences of numbers, NumPy provides the arange function which is analogous to the Python built-in range, but returns an array. >>> >>> np.arange( 10, 30, 5 ) array([10, 15, 20, 25]) >>> np.arange( 0, 2, 0.3 ) # it accepts float arguments array([0. , 0.3, 0.6, 0.9, 1.2, 1.5, 1.8]) When arange is used with floating point arguments, it is generally not possible to predict the number of elements obtained, due to the finite floating point precision. For this reason, it is usually better to use the function linspace that receives as an argument the number of elements that we want, instead of the step: >>> >>> from numpy import pi >>> np.linspace( 0, 2, 9 ) # 9 numbers from 0 to 2 array([0. , 0.25, 0.5 , 0.75, 1. , 1.25, 1.5 , 1.75, 2. ]) >>> x = np.linspace( 0, 2*pi, 100 ) # useful to evaluate function at lots of points >>> f = np.sin(x) See also array, zeros, zeros_like, ones, ones_like, empty, empty_like, arange, linspace, numpy.random.Generator.rand, numpy.random.Generator.randn, fromfunction, fromfile Printing Arrays When you print an array, NumPy displays it in a similar way to nested lists, but with the following layout: the last axis is printed from left to right, the second-to-last is printed from top to bottom, the rest are also printed from top to bottom, with each slice separated from the next by an empty line. One-dimensional arrays are then printed as rows, bidimensionals as matrices and tridimensionals as lists of matrices. >>> >>> a = np.arange(6) # 1d array >>> print(a) [0 1 2 3 4 5] >>> >>> b = np.arange(12).reshape(4,3) # 2d array >>> print(b) [[ 0 1 2] [ 3 4 5] [ 6 7 8] [ 9 10 11]] >>> >>> c = np.arange(24).reshape(2,3,4) # 3d array >>> print(c) [[[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11]] [[12 13 14 15] [16 17 18 19] [20 21 22 23]]] See below to get more details on reshape. If an array is too large to be printed, NumPy automatically skips the central part of the array and only prints the corners: >>> >>> print(np.arange(10000)) [ 0 1 2 ... 9997 9998 9999] >>> >>> print(np.arange(10000).reshape(100,100)) [[ 0 1 2 ... 97 98 99] [ 100 101 102 ... 197 198 199] [ 200 201 202 ... 297 298 299] ... [9700 9701 9702 ... 9797 9798 9799] [9800 9801 9802 ... 9897 9898 9899] [9900 9901 9902 ... 9997 9998 9999]] To disable this behaviour and force NumPy to print the entire array, you can change the printing options using set_printoptions. >>> >>> np.set_printoptions(threshold=sys.maxsize) # sys module should be imported Basic Operations Arithmetic operators on arrays apply elementwise. A new array is created and filled with the result. >>> >>> a = np.array( [20,30,40,50] ) >>> b = np.arange( 4 ) >>> b array([0, 1, 2, 3]) >>> c = a-b >>> c array([20, 29, 38, 47]) >>> b**2 array([0, 1, 4, 9]) >>> 10*np.sin(a) array([ 9.12945251, -9.88031624, 7.4511316 , -2.62374854]) >>> a<35 array([ True, True, False, False]) Unlike in many matrix languages, the product operator * operates elementwise in NumPy arrays. The matrix product can be performed using the @ operator (in python >=3.5) or the dot function or method: >>> >>> A = np.array( [[1,1], ... [0,1]] ) >>> B = np.array( [[2,0], ... [3,4]] ) >>> A * B # elementwise product array([[2, 0], [0, 4]]) >>> A @ B # matrix product array([[5, 4], [3, 4]]) >>> A.dot(B) # another matrix product array([[5, 4], [3, 4]]) Some operations, such as += and *=, act in place to modify an existing array rather than create a new one. >>> >>> rg = np.random.default_rng(1) # create instance of default random number generator >>> a = np.ones((2,3), dtype=int) >>> b = rg.random((2,3)) >>> a *= 3 >>> a array([[3, 3, 3], [3, 3, 3]]) >>> b += a >>> b array([[3.51182162, 3.9504637 , 3.14415961], [3.94864945, 3.31183145, 3.42332645]]) >>> a += b # b is not automatically converted to integer type Traceback (most recent call last): ... numpy.core._exceptions.UFuncTypeError: Cannot cast ufunc 'add' output from dtype('float64') to dtype('int64') with casting rule 'same_kind' When operating with arrays of different types, the type of the resulting array corresponds to the more general or precise one (a behavior known as upcasting). >>> >>> a = np.ones(3, dtype=np.int32) >>> b = np.linspace(0,pi,3) >>> b.dtype.name 'float64' >>> c = a+b >>> c array([1. , 2.57079633, 4.14159265]) >>> c.dtype.name 'float64' >>> d = np.exp(c*1j) >>> d array([ 0.54030231+0.84147098j, -0.84147098+0.54030231j, -0.54030231-0.84147098j]) >>> d.dtype.name 'complex128' Many unary operations, such as computing the sum of all the elements in the array, are implemented as methods of the ndarray class. >>> >>> a = rg.random((2,3)) >>> a array([[0.82770259, 0.40919914, 0.54959369], [0.02755911, 0.75351311, 0.53814331]]) >>> a.sum() 3.1057109529998157 >>> a.min() 0.027559113243068367 >>> a.max() 0.8277025938204418 By default, these operations apply to the array as though it were a list of numbers, regardless of its shape. However, by specifying the axis parameter you can apply an operation along the specified axis of an array: >>> >>> b = np.arange(12).reshape(3,4) >>> b array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]) >>> >>> b.sum(axis=0) # sum of each column array([12, 15, 18, 21]) >>> >>> b.min(axis=1) # min of each row array([0, 4, 8]) >>> >>> b.cumsum(axis=1) # cumulative sum along each row array([[ 0, 1, 3, 6], [ 4, 9, 15, 22], [ 8, 17, 27, 38]]) Universal Functions NumPy provides familiar mathematical functions such as sin, cos, and exp. In NumPy, these are called “universal functions”(ufunc). Within NumPy, these functions operate elementwise on an array, producing an array as output. >>> >>> B = np.arange(3) >>> B array([0, 1, 2]) >>> np.exp(B) array([1. , 2.71828183, 7.3890561 ]) >>> np.sqrt(B) array([0. , 1. , 1.41421356]) >>> C = np.array([2., -1., 4.]) >>> np.add(B, C) array([2., 0., 6.]) See also all, any, apply_along_axis, argmax, argmin, argsort, average, bincount, ceil, clip, conj, corrcoef, cov, cross, cumprod, cumsum, diff, dot, floor, inner, invert, lexsort, max, maximum, mean, median, min, minimum, nonzero, outer, prod, re, round, sort, std, sum, trace, transpose, var, vdot, vectorize, where Indexing, Slicing and Iterating One-dimensional arrays can be indexed, sliced and iterated over, much like lists and other Python sequences. >>> >>> a = np.arange(10)**3 >>> a array([ 0, 1, 8, 27, 64, 125, 216, 343, 512, 729]) >>> a[2] 8 >>> a[2:5] array([ 8, 27, 64]) # equivalent to a[0:6:2] = 1000; # from start to position 6, exclusive, set every 2nd element to 1000 >>> a[:6:2] = 1000 >>> a array([1000, 1, 1000, 27, 1000, 125, 216, 343, 512, 729]) >>> a[ : :-1] # reversed a array([ 729, 512, 343, 216, 125, 1000, 27, 1000, 1, 1000]) >>> for i in a: ... print(i**(1/3.)) ... 9.999999999999998 1.0 9.999999999999998 3.0 9.999999999999998 4.999999999999999 5.999999999999999 6.999999999999999 7.999999999999999 8.999999999999998 Multidimensional arrays can have one index per axis. These indices are given in a tuple separated by commas: >>> >>> def f(x,y): ... return 10*x+y ... >>> b = np.fromfunction(f,(5,4),dtype=int) >>> b array([[ 0, 1, 2, 3], [10, 11, 12, 13], [20, 21, 22, 23], [30, 31, 32, 33], [40, 41, 42, 43]]) >>> b[2,3] 23 >>> b[0:5, 1] # each row in the second column of b array([ 1, 11, 21, 31, 41]) >>> b[ : ,1] # equivalent to the previous example array([ 1, 11, 21, 31, 41]) >>> b[1:3, : ] # each column in the second and third row of b array([[10, 11, 12, 13], [20, 21, 22, 23]]) When fewer indices are provided than the number of axes, the missing indices are considered complete slices: >>> >>> b[-1] # the last row. Equivalent to b[-1,:] array([40, 41, 42, 43]) The expression within brackets in b[i] is treated as an i followed by as many instances of : as needed to represent the remaining axes. NumPy also allows you to write this using dots as b[i,...]. The dots (...) represent as many colons as needed to produce a complete indexing tuple. For example, if x is an array with 5 axes, then x[1,2,...] is equivalent to x[1,2,:,:,:], x[...,3] to x[:,:,:,:,3] and x[4,...,5,:] to x[4,:,:,5,:]. >>> >>> c = np.array( [[[ 0, 1, 2], # a 3D array (two stacked 2D arrays) ... [ 10, 12, 13]], ... [[100,101,102], ... [110,112,113]]]) >>> c.shape (2, 2, 3) >>> c[1,...] # same as c[1,:,:] or c[1] array([[100, 101, 102], [110, 112, 113]]) >>> c[...,2] # same as c[:,:,2] array([[ 2, 13], [102, 113]]) Iterating over multidimensional arrays is done with respect to the first axis: >>> >>> for row in b: ... print(row) ... [0 1 2 3] [10 11 12 13] [20 21 22 23] [30 31 32 33] [40 41 42 43] However, if one wants to perform an operation on each element in the array, one can use the flat attribute which is an iterator over all the elements of the array: >>> >>> for element in b.flat: ... print(element) ... 0 1 2 3 10 11 12 13 20 21 22 23 30 31 32 33 40 41 42 43 See also Indexing, Indexing (reference), newaxis, ndenumerate, indices Shape Manipulation Changing the shape of an array An array has a shape given by the number of elements along each axis: >>> >>> a = np.floor(10*rg.random((3,4))) >>> a array([[3., 7., 3., 4.], [1., 4., 2., 2.], [7., 2., 4., 9.]]) >>> a.shape (3, 4) The shape of an array can be changed with various commands. Note that the following three commands all return a modified array, but do not change the original array: >>> >>> a.ravel() # returns the array, flattened array([3., 7., 3., 4., 1., 4., 2., 2., 7., 2., 4., 9.]) >>> a.reshape(6,2) # returns the array with a modified shape array([[3., 7.], [3., 4.], [1., 4.], [2., 2.], [7., 2.], [4., 9.]]) >>> a.T # returns the array, transposed array([[3., 1., 7.], [7., 4., 2.], [3., 2., 4.], [4., 2., 9.]]) >>> a.T.shape (4, 3) >>> a.shape (3, 4) The order of the elements in the array resulting from ravel() is normally “C-style”, that is, the rightmost index “changes the fastest”, so the element after a[0,0] is a[0,1]. If the array is reshaped to some other shape, again the array is treated as “C-style”. NumPy normally creates arrays stored in this order, so ravel() will usually not need to copy its argument, but if the array was made by taking slices of another array or created with unusual options, it may need to be copied. The functions ravel() and reshape() can also be instructed, using an optional argument, to use FORTRAN-style arrays, in which the leftmost index changes the fastest. The reshape function returns its argument with a modified shape, whereas the ndarray.resize method modifies the array itself: >>> >>> a array([[3., 7., 3., 4.], [1., 4., 2., 2.], [7., 2., 4., 9.]]) >>> a.resize((2,6)) >>> a array([[3., 7., 3., 4., 1., 4.], [2., 2., 7., 2., 4., 9.]]) If a dimension is given as -1 in a reshaping operation, the other dimensions are automatically calculated: >>> >>> a.reshape(3,-1) array([[3., 7., 3., 4.], [1., 4., 2., 2.], [7., 2., 4., 9.]]) See also ndarray.shape, reshape, resize, ravel Stacking together different arrays Several arrays can be stacked together along different axes: >>> >>> a = np.floor(10*rg.random((2,2))) >>> a array([[9., 7.], [5., 2.]]) >>> b = np.floor(10*rg.random((2,2))) >>> b array([[1., 9.], [5., 1.]]) >>> np.vstack((a,b)) array([[9., 7.], [5., 2.], [1., 9.], [5., 1.]]) >>> np.hstack((a,b)) array([[9., 7., 1., 9.], [5., 2., 5., 1.]]) The function column_stack stacks 1D arrays as columns into a 2D array. It is equivalent to hstack only for 2D arrays: >>> >>> from numpy import newaxis >>> np.column_stack((a,b)) # with 2D arrays array([[9., 7., 1., 9.], [5., 2., 5., 1.]]) >>> a = np.array([4.,2.]) >>> b = np.array([3.,8.]) >>> np.column_stack((a,b)) # returns a 2D array array([[4., 3.], [2., 8.]]) >>> np.hstack((a,b)) # the result is different array([4., 2., 3., 8.]) >>> a[:,newaxis] # view `a` as a 2D column vector array([[4.], [2.]]) >>> np.column_stack((a[:,newaxis],b[:,newaxis])) array([[4., 3.], [2., 8.]]) >>> np.hstack((a[:,newaxis],b[:,newaxis])) # the result is the same array([[4., 3.], [2., 8.]]) On the other hand, the function row_stack is equivalent to vstack for any input arrays. In fact, row_stack is an alias for vstack: >>> >>> np.column_stack is np.hstack False >>> np.row_stack is np.vstack True In general, for arrays with more than two dimensions, hstack stacks along their second axes, vstack stacks along their first axes, and concatenate allows for an optional arguments giving the number of the axis along which the concatenation should happen. Note In complex cases, r_ and c_ are useful for creating arrays by stacking numbers along one axis. They allow the use of range literals (“:”) >>> >>> np.r_[1:4,0,4] array([1, 2, 3, 0, 4]) When used with arrays as arguments, r_ and c_ are similar to vstack and hstack in their default behavior, but allow for an optional argument giving the number of the axis along which to concatenate. See also hstack, vstack, column_stack, concatenate, c_, r_ Splitting one array into several smaller ones Using hsplit, you can split an array along its horizontal axis, either by specifying the number of equally shaped arrays to return, or by specifying the columns after which the division should occur: >>> >>> a = np.floor(10*rg.random((2,12))) >>> a array([[6., 7., 6., 9., 0., 5., 4., 0., 6., 8., 5., 2.], [8., 5., 5., 7., 1., 8., 6., 7., 1., 8., 1., 0.]]) # Split a into 3 >>> np.hsplit(a,3) [array([[6., 7., 6., 9.], [8., 5., 5., 7.]]), array([[0., 5., 4., 0.], [1., 8., 6., 7.]]), array([[6., 8., 5., 2.], [1., 8., 1., 0.]])] # Split a after the third and the fourth column >>> np.hsplit(a,(3,4)) [array([[6., 7., 6.], [8., 5., 5.]]), array([[9.], [7.]]), array([[0., 5., 4., 0., 6., 8., 5., 2.], [1., 8., 6., 7., 1., 8., 1., 0.]])] vsplit splits along the vertical axis, and array_split allows one to specify along which axis to split. Copies and Views When operating and manipulating arrays, their data is sometimes copied into a new array and sometimes not. This is often a source of confusion for beginners. There are three cases: No Copy at All Simple assignments make no copy of objects or their data. >>> >>> a = np.array([[ 0, 1, 2, 3], ... [ 4, 5, 6, 7], ... [ 8, 9, 10, 11]]) >>> b = a # no new object is created >>> b is a # a and b are two names for the same ndarray object True Python passes mutable objects as references, so function calls make no copy. >>> >>> def f(x): ... print(id(x)) ... >>> id(a) # id is a unique identifier of an object 148293216 # may vary >>> f(a) 148293216 # may vary View or Shallow Copy Different array objects can share the same data. The view method creates a new array object that looks at the same data. >>> >>> c = a.view() >>> c is a False >>> c.base is a # c is a view of the data owned by a True >>> c.flags.owndata False >>> >>> c = c.reshape((2, 6)) # a's shape doesn't change >>> a.shape (3, 4) >>> c[0, 4] = 1234 # a's data changes >>> a array([[ 0, 1, 2, 3], [1234, 5, 6, 7], [ 8, 9, 10, 11]]) Slicing an array returns a view of it: >>> >>> s = a[ : , 1:3] # spaces added for clarity; could also be written "s = a[:, 1:3]" >>> s[:] = 10 # s[:] is a view of s. Note the difference between s = 10 and s[:] = 10 >>> a array([[ 0, 10, 10, 3], [1234, 10, 10, 7], [ 8, 10, 10, 11]]) Deep Copy The copy method makes a complete copy of the array and its data. >>> >>> d = a.copy() # a new array object with new data is created >>> d is a False >>> d.base is a # d doesn't share anything with a False >>> d[0,0] = 9999 >>> a array([[ 0, 10, 10, 3], [1234, 10, 10, 7], [ 8, 10, 10, 11]]) Sometimes copy should be called after slicing if the original array is not required anymore. For example, suppose a is a huge intermediate result and the final result b only contains a small fraction of a, a deep copy should be made when constructing b with slicing: >>> >>> a = np.arange(int(1e8)) >>> b = a[:100].copy() >>> del a # the memory of ``a`` can be released. If b = a[:100] is used instead, a is referenced by b and will persist in memory even if del a is executed. Functions and Methods Overview Here is a list of some useful NumPy functions and methods names ordered in categories. See Routines for the full list. Array Creation arange, array, copy, empty, empty_like, eye, fromfile, fromfunction, identity, linspace, logspace, mgrid, ogrid, ones, ones_like, r_, zeros, zeros_like Conversions ndarray.astype, atleast_1d, atleast_2d, atleast_3d, mat Manipulations array_split, column_stack, concatenate, diagonal, dsplit, dstack, hsplit, hstack, ndarray.item, newaxis, ravel, repeat, reshape, resize, squeeze, swapaxes, take, transpose, vsplit, vstack Questions all, any, nonzero, where Ordering argmax, argmin, argsort, max, min, ptp, searchsorted, sort Operations choose, compress, cumprod, cumsum, inner, ndarray.fill, imag, prod, put, putmask, real, sum Basic Statistics cov, mean, std, var Basic Linear Algebra cross, dot, outer, linalg.svd, vdot Less Basic Broadcasting rules Broadcasting allows universal functions to deal in a meaningful way with inputs that do not have exactly the same shape. The first rule of broadcasting is that if all input arrays do not have the same number of dimensions, a “1” will be repeatedly prepended to the shapes of the smaller arrays until all the arrays have the same number of dimensions. The second rule of broadcasting ensures that arrays with a size of 1 along a particular dimension act as if they had the size of the array with the largest shape along that dimension. The value of the array element is assumed to be the same along that dimension for the “broadcast” array. After application of the broadcasting rules, the sizes of all arrays must match. More details can be found in Broadcasting. Advanced indexing and index tricks NumPy offers more indexing facilities than regular Python sequences. In addition to indexing by integers and slices, as we saw before, arrays can be indexed by arrays of integers and arrays of booleans. Indexing with Arrays of Indices >>> >>> a = np.arange(12)**2 # the first 12 square numbers >>> i = np.array([1, 1, 3, 8, 5]) # an array of indices >>> a[i] # the elements of a at the positions i array([ 1, 1, 9, 64, 25]) >>> >>> j = np.array([[3, 4], [9, 7]]) # a bidimensional array of indices >>> a[j] # the same shape as j array([[ 9, 16], [81, 49]]) When the indexed array a is multidimensional, a single array of indices refers to the first dimension of a. The following example shows this behavior by converting an image of labels into a color image using a palette. >>> >>> palette = np.array([[0, 0, 0], # black ... [255, 0, 0], # red ... [0, 255, 0], # green ... [0, 0, 255], # blue ... [255, 255, 255]]) # white >>> image = np.array([[0, 1, 2, 0], # each value corresponds to a color in the palette ... [0, 3, 4, 0]]) >>> palette[image] # the (2, 4, 3) color image array([[[ 0, 0, 0], [255, 0, 0], [ 0, 255, 0], [ 0, 0, 0]], [[ 0, 0, 0], [ 0, 0, 255], [255, 255, 255], [ 0, 0, 0]]]) We can also give indexes for more than one dimension. The arrays of indices for each dimension must have the same shape. >>> >>> a = np.arange(12).reshape(3,4) >>> a array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]) >>> i = np.array([[0, 1], # indices for the first dim of a ... [1, 2]]) >>> j = np.array([[2, 1], # indices for the second dim ... [3, 3]]) >>> >>> a[i, j] # i and j must have equal shape array([[ 2, 5], [ 7, 11]]) >>> >>> a[i, 2] array([[ 2, 6], [ 6, 10]]) >>> >>> a[:, j] # i.e., a[ : , j] array([[[ 2, 1], [ 3, 3]], [[ 6, 5], [ 7, 7]], [[10, 9], [11, 11]]]) In Python, arr[i, j] is exactly the same as arr[(i, j)]—so we can put i and j in a tuple and then do the indexing with that. >>> >>> l = (i, j) # equivalent to a[i, j] >>> a[l] array([[ 2, 5], [ 7, 11]]) However, we can not do this by putting i and j into an array, because this array will be interpreted as indexing the first dimension of a. >>> >>> s = np.array([i, j]) # not what we want >>> a[s] Traceback (most recent call last): File "<stdin>", line 1, in <module> IndexError: index 3 is out of bounds for axis 0 with size 3 # same as a[i, j] >>> a[tuple(s)] array([[ 2, 5], [ 7, 11]]) Another common use of indexing with arrays is the search of the maximum value of time-dependent series: >>> >>> time = np.linspace(20, 145, 5) # time scale >>> data = np.sin(np.arange(20)).reshape(5,4) # 4 time-dependent series >>> time array([ 20. , 51.25, 82.5 , 113.75, 145. ]) >>> data array([[ 0. , 0.84147098, 0.90929743, 0.14112001], [-0.7568025 , -0.95892427, -0.2794155 , 0.6569866 ], [ 0.98935825, 0.41211849, -0.54402111, -0.99999021], [-0.53657292, 0.42016704, 0.99060736, 0.65028784], [-0.28790332, -0.96139749, -0.75098725, 0.14987721]]) # index of the maxima for each series >>> ind = data.argmax(axis=0) >>> ind array([2, 0, 3, 1]) # times corresponding to the maxima >>> time_max = time[ind] >>> >>> data_max = data[ind, range(data.shape[1])] # => data[ind[0],0], data[ind[1],1]... >>> time_max array([ 82.5 , 20. , 113.75, 51.25]) >>> data_max array([0.98935825, 0.84147098, 0.99060736, 0.6569866 ]) >>> np.all(data_max == data.max(axis=0)) True You can also use indexing with arrays as a target to assign to: >>> >>> a = np.arange(5) >>> a array([0, 1, 2, 3, 4]) >>> a[[1,3,4]] = 0 >>> a array([0, 0, 2, 0, 0]) However, when the list of indices contains repetitions, the assignment is done several times, leaving behind the last value: >>> >>> a = np.arange(5) >>> a[[0,0,2]]=[1,2,3] >>> a array([2, 1, 3, 3, 4]) This is reasonable enough, but watch out if you want to use Python’s += construct, as it may not do what you expect: >>> >>> a = np.arange(5) >>> a[[0,0,2]]+=1 >>> a array([1, 1, 3, 3, 4]) Even though 0 occurs twice in the list of indices, the 0th element is only incremented once. This is because Python requires “a+=1” to be equivalent to “a = a + 1”. Indexing with Boolean Arrays When we index arrays with arrays of (integer) indices we are providing the list of indices to pick. With boolean indices the approach is different; we explicitly choose which items in the array we want and which ones we don’t. The most natural way one can think of for boolean indexing is to use boolean arrays that have the same shape as the original array: >>> >>> a = np.arange(12).reshape(3,4) >>> b = a > 4 >>> b # b is a boolean with a's shape array([[False, False, False, False], [False, True, True, True], [ True, True, True, True]]) >>> a[b] # 1d array with the selected elements array([ 5, 6, 7, 8, 9, 10, 11]) This property can be very useful in assignments: >>> >>> a[b] = 0 # All elements of 'a' higher than 4 become 0 >>> a array([[0, 1, 2, 3], [4, 0, 0, 0], [0, 0, 0, 0]]) You can look at the following example to see how to use boolean indexing to generate an image of the Mandelbrot set: >>> import numpy as np import matplotlib.pyplot as plt def mandelbrot( h,w, maxit=20 ): """Returns an image of the Mandelbrot fractal of size (h,w).""" y,x = np.ogrid[ -1.4:1.4:h*1j, -2:0.8:w*1j ] c = x+y*1j z = c divtime = maxit + np.zeros(z.shape, dtype=int) for i in range(maxit): z = z**2 + c diverge = z*np.conj(z) > 2**2 # who is diverging div_now = diverge & (divtime==maxit) # who is diverging now divtime[div_now] = i # note when z[diverge] = 2 # avoid diverging too much return divtime plt.imshow(mandelbrot(400,400)) ../_images/quickstart-1.png The second way of indexing with booleans is more similar to integer indexing; for each dimension of the array we give a 1D boolean array selecting the slices we want: >>> >>> a = np.arange(12).reshape(3,4) >>> b1 = np.array([False,True,True]) # first dim selection >>> b2 = np.array([True,False,True,False]) # second dim selection >>> >>> a[b1,:] # selecting rows array([[ 4, 5, 6, 7], [ 8, 9, 10, 11]]) >>> >>> a[b1] # same thing array([[ 4, 5, 6, 7], [ 8, 9, 10, 11]]) >>> >>> a[:,b2] # selecting columns array([[ 0, 2], [ 4, 6], [ 8, 10]]) >>> >>> a[b1,b2] # a weird thing to do array([ 4, 10]) Note that the length of the 1D boolean array must coincide with the length of the dimension (or axis) you want to slice. In the previous example, b1 has length 3 (the number of rows in a), and b2 (of length 4) is suitable to index the 2nd axis (columns) of a. The ix_() function The ix_ function can be used to combine different vectors so as to obtain the result for each n-uplet. For example, if you want to compute all the a+b*c for all the triplets taken from each of the vectors a, b and c: >>> >>> a = np.array([2,3,4,5]) >>> b = np.array([8,5,4]) >>> c = np.array([5,4,6,8,3]) >>> ax,bx,cx = np.ix_(a,b,c) >>> ax array([[[2]], [[3]], [[4]], [[5]]]) >>> bx array([[[8], [5], [4]]]) >>> cx array([[[5, 4, 6, 8, 3]]]) >>> ax.shape, bx.shape, cx.shape ((4, 1, 1), (1, 3, 1), (1, 1, 5)) >>> result = ax+bx*cx >>> result array([[[42, 34, 50, 66, 26], [27, 22, 32, 42, 17], [22, 18, 26, 34, 14]], [[43, 35, 51, 67, 27], [28, 23, 33, 43, 18], [23, 19, 27, 35, 15]], [[44, 36, 52, 68, 28], [29, 24, 34, 44, 19], [24, 20, 28, 36, 16]], [[45, 37, 53, 69, 29], [30, 25, 35, 45, 20], [25, 21, 29, 37, 17]]]) >>> result[3,2,4] 17 >>> a[3]+b[2]*c[4] 17 You could also implement the reduce as follows: >>> >>> def ufunc_reduce(ufct, *vectors): ... vs = np.ix_(*vectors) ... r = ufct.identity ... for v in vs: ... r = ufct(r,v) ... return r and then use it as: >>> >>> ufunc_reduce(np.add,a,b,c) array([[[15, 14, 16, 18, 13], [12, 11, 13, 15, 10], [11, 10, 12, 14, 9]], [[16, 15, 17, 19, 14], [13, 12, 14, 16, 11], [12, 11, 13, 15, 10]], [[17, 16, 18, 20, 15], [14, 13, 15, 17, 12], [13, 12, 14, 16, 11]], [[18, 17, 19, 21, 16], [15, 14, 16, 18, 13], [14, 13, 15, 17, 12]]]) The advantage of this version of reduce compared to the normal ufunc.reduce is that it makes use of the Broadcasting Rules in order to avoid creating an argument array the size of the output times the number of vectors. Indexing with strings See Structured arrays. Linear Algebra Work in progress. Basic linear algebra to be included here. Simple Array Operations See linalg.py in numpy folder for more. >>> >>> import numpy as np >>> a = np.array([[1.0, 2.0], [3.0, 4.0]]) >>> print(a) [[1. 2.] [3. 4.]] >>> a.transpose() array([[1., 3.], [2., 4.]]) >>> np.linalg.inv(a) array([[-2. , 1. ], [ 1.5, -0.5]]) >>> u = np.eye(2) # unit 2x2 matrix; "eye" represents "I" >>> u array([[1., 0.], [0., 1.]]) >>> j = np.array([[0.0, -1.0], [1.0, 0.0]]) >>> j @ j # matrix product array([[-1., 0.], [ 0., -1.]]) >>> np.trace(u) # trace 2.0 >>> y = np.array([[5.], [7.]]) >>> np.linalg.solve(a, y) array([[-3.], [ 4.]]) >>> np.linalg.eig(j) (array([0.+1.j, 0.-1.j]), array([[0.70710678+0.j , 0.70710678-0.j ], [0. -0.70710678j, 0. +0.70710678j]])) Parameters: square matrix Returns The eigenvalues, each repeated according to its multiplicity. The normalized (unit "length") eigenvectors, such that the column ``v[:,i]`` is the eigenvector corresponding to the eigenvalue ``w[i]`` . Tricks and Tips Here we give a list of short and useful tips. “Automatic” Reshaping To change the dimensions of an array, you can omit one of the sizes which will then be deduced automatically: >>> >>> a = np.arange(30) >>> b = a.reshape((2, -1, 3)) # -1 means "whatever is needed" >>> b.shape (2, 5, 3) >>> b array([[[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8], [ 9, 10, 11], [12, 13, 14]], [[15, 16, 17], [18, 19, 20], [21, 22, 23], [24, 25, 26], [27, 28, 29]]]) Vector Stacking How do we construct a 2D array from a list of equally-sized row vectors? In MATLAB this is quite easy: if x and y are two vectors of the same length you only need do m=[x;y]. In NumPy this works via the functions column_stack, dstack, hstack and vstack, depending on the dimension in which the stacking is to be done. For example: >>> >>> x = np.arange(0,10,2) >>> y = np.arange(5) >>> m = np.vstack([x,y]) >>> m array([[0, 2, 4, 6, 8], [0, 1, 2, 3, 4]]) >>> xy = np.hstack([x,y]) >>> xy array([0, 2, 4, 6, 8, 0, 1, 2, 3, 4]) The logic behind those functions in more than two dimensions can be strange. See also NumPy for Matlab users Histograms The NumPy histogram function applied to an array returns a pair of vectors: the histogram of the array and a vector of the bin edges. Beware: matplotlib also has a function to build histograms (called hist, as in Matlab) that differs from the one in NumPy. The main difference is that pylab.hist plots the histogram automatically, while numpy.histogram only generates the data. >>> import numpy as np rg = np.random.default_rng(1) import matplotlib.pyplot as plt # Build a vector of 10000 normal deviates with variance 0.5^2 and mean 2 mu, sigma = 2, 0.5 v = rg.normal(mu,sigma,10000) # Plot a normalized histogram with 50 bins plt.hist(v, bins=50, density=1) # matplotlib version (plot) # Compute the histogram with numpy and then plot it (n, bins) = np.histogram(v, bins=50, density=True) # NumPy version (no plot) plt.plot(.5*(bins[1:]+bins[:-1]), n) ../_images/quickstart-2.png Further reading The Python tutorial NumPy Reference SciPy Tutorial SciPy Lecture Notes A matlab, R, IDL, NumPy/SciPy dictionary © Copyright 2008-2020, The SciPy community. Last updated on Jun 29, 2020. Created using Sphinx 2.4.4.
JohnTitor / TermizeFunctions for determining terminal sizes in Rust
mvanotti / Stack SizesUtility that parses stack sizes section from elf objects and displays the preallocated stack size of each function.
stepancar / Big Oops.jsTool for comparison performance of js functions on different input value sizes
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JackTeam / XHWaterDropRefreshEnglish: XHWaterDropRefresh is a similar Path 's dropdown refresh component. has the following functions: 1, set the drop size/water droplets pull-apart distance/water droplets deformation length 2, parallax effect in background 3, in the parallax effect background inside display Avatar 中文:XHWaterDropRefresh是一款类似Path's的下拉刷新的组件，具有以下功能：1、设置水滴大小 / 水滴拉断距离 / 水滴变形长度 2、视觉差的背景图 3、在视觉差背景嵌套头像控件
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Champ1604 / Botvar config = { name: 'KTN Bot', userid: function () { return toId(this.name); }, group: '@', join: true, rooms: ['lobby'], punishvals: { 1: 'warn', 2: 'mute', 3: 'hourmute', 4: 'roomban', 5: 'ban' }, privaterooms: ['staff'], hosting: {}, laddering: true, ladderPercentage: 70, debug: false }; /** * On server start, this sets up fake user connection for bot and uses a fake ip. * It gets a the fake user from the users list and modifies it properties. In addition, * it sets up rooms that bot will join and adding the bot user to Users list and * removing the fake user created which already filled its purpose * of easily filling in the gaps of all the user's property. */ function joinServer() { if (process.uptime() > 5) return; // to avoid running this function again when reloading var worker = new(require('./fake-process.js').FakeProcess)(); Users.socketConnect(worker.server, undefined, '1', '76.19.156.198'); for (var i in Users.users) { if (Users.users[i].connections[0].ip === '76.19.156.198') { var bot = Users.users[i]; bot.name = config.name; bot.named = true; bot.renamePending = config.name; bot.authenticated = true; bot.userid = config.userid(); bot.group = config.group; if (config.join === true) { for (var all in Rooms.rooms) { if (all != 'global') { bot.roomCount[all] = 1; } } Users.users[bot.userid] = bot; for (var allRoom in Rooms.rooms) { if (allRoom != 'global') { Rooms.rooms[allRoom].users[Users.users[bot.userid]] = Users.users[bot.userid]; } } } else { for (var index in config.rooms) { if (index != 'global') { bot.roomCount[joinRooms[index]] = 1; } } Users.users[bot.userid] = bot; for (var jIndex in config.rooms) { if (jIndex != 'global') { Rooms.rooms[jIndex].users[Users.users[bot.userid]] = Users.users[bot.userid]; } } } delete Users.users[i]; } } } const ACTION_COOLDOWN = 3 * 1000; const FLOOD_MESSAGE_NUM = 5; const FLOOD_PER_MSG_MIN = 500; // this is the minimum time between messages for legitimate spam. It's used to determine what "flooding" is caused by lag const FLOOD_MESSAGE_TIME = 6 * 1000; const MIN_CAPS_LENGTH = 18; const MIN_CAPS_PROPORTION = 0.8; var parse = { chatData: {}, processChatData: function (user, room, connection, message) { if (user.userid === config.userid() || !room.users[config.userid()]) return true; var cmds = this.processBotCommands(user, room, connection, message); if (cmds) return false; message = message.trim().replace(/ +/g, " "); // removes extra spaces so it doesn't trigger stretching this.updateSeen(user.userid, 'c', room.title); var time = Date.now(); if (!this.chatData[user]) this.chatData[user] = { zeroTol: 0, lastSeen: '', seenAt: time }; if (!this.chatData[user][room]) this.chatData[user][room] = { times: [], points: 0, lastAction: 0 }; this.chatData[user][room].times.push(time); var pointVal = 0; var muteMessage = ''; // moderation for flooding (more than x lines in y seconds) var isFlooding = (this.chatData[user][room].times.length >= FLOOD_MESSAGE_NUM && (time - this.chatData[user][room].times[this.chatData[user][room].times.length - FLOOD_MESSAGE_NUM]) < FLOOD_MESSAGE_TIME && (time - this.chatData[user][room].times[this.chatData[user][room].times.length - FLOOD_MESSAGE_NUM]) > (FLOOD_PER_MSG_MIN * FLOOD_MESSAGE_NUM)); if (isFlooding) { if (pointVal < 2) { pointVal = 2; muteMessage = ', flooding'; } } // moderation for caps (over x% of the letters in a line of y characters are capital) var capsMatch = message.replace(/[^A-Za-z]/g, '').match(/[A-Z]/g); if (capsMatch && toId(message).length > MIN_CAPS_LENGTH && (capsMatch.length >= Math.floor(toId(message).length * MIN_CAPS_PROPORTION))) { if (pointVal < 1) { pointVal = 1; muteMessage = ', caps'; } } // moderation for stretching (over x consecutive characters in the message are the same) var stretchMatch = message.toLowerCase().match(/(.)\1{7,}/g) || message.toLowerCase().match(/(..+)\1{4,}/g); // matches the same character (or group of characters) 8 (or 5) or more times in a row if (stretchMatch) { if (pointVal < 1) { pointVal = 1; muteMessage = ', stretching'; } } if (pointVal > 0 && !(time - this.chatData[user][room].lastAction < ACTION_COOLDOWN)) { var cmd = 'mute'; // defaults to the next punishment in config.punishVals instead of repeating the same action (so a second warn-worthy // offence would result in a mute instead of a warn, and the third an hourmute, etc) if (this.chatData[user][room].points >= pointVal && pointVal < 4) { this.chatData[user][room].points++; cmd = config.punishvals[this.chatData[user][room].points] || cmd; } else { // if the action hasn't been done before (is worth more points) it will be the one picked cmd = config.punishvals[pointVal] || cmd; this.chatData[user][room].points = pointVal; // next action will be one level higher than this one (in most cases) } if (config.privaterooms.indexOf(room) >= 0 && cmd === 'warn') cmd = 'mute'; // can't warn in private rooms // if the bot has % and not @, it will default to hourmuting as its highest level of punishment instead of roombanning if (this.chatData[user][room].points >= 4 && config.group === '%') cmd = 'hourmute'; if (this.chatData[user].zeroTol > 4) { // if zero tolerance users break a rule they get an instant roomban or hourmute muteMessage = ', zero tolerance user'; cmd = config.group !== '%' ? 'roomban' : 'hourmute'; } if (this.chatData[user][room].points >= 2) this.chatData[user].zeroTol++; // getting muted or higher increases your zero tolerance level (warns do not) this.chatData[user][room].lastAction = time; room.add('|c|' + user.group + user.name + '|' + message); CommandParser.parse(('/' + cmd + ' ' + user.userid + muteMessage), room, Users.get(config.name), Users.get(config.name).connections[0]); return false; } return true; }, updateSeen: function (user, type, detail) { user = toId(user); type = toId(type); if (type in {j: 1, l: 1, c: 1} && (config.rooms.indexOf(toId(detail)) === -1 || config.privaterooms.indexOf(toId(detail)) > -1)) return; var time = Date.now(); if (!this.chatData[user]) this.chatData[user] = { zeroTol: 0, lastSeen: '', seenAt: time }; if (!detail) return; var msg = ''; if (type in {j: 1, l: 1, c: 1}) { msg += (type === 'j' ? 'joining' : (type === 'l' ? 'leaving' : 'chatting in')) + ' ' + detail.trim() + '.'; } else if (type === 'n') { msg += 'changing nick to ' + ('+%@&#~'.indexOf(detail.trim().charAt(0)) === -1 ? detail.trim() : detail.trim().substr(1)) + '.'; } if (msg) { this.chatData[user].lastSeen = msg; this.chatData[user].seenAt = time; } }, processBotCommands: function (user, room, connection, message) { if (room.type !== 'chat' || message.charAt(0) !== '.') return; var cmd = '', target = '', spaceIndex = message.indexOf(' '), botDelay = (Math.floor(Math.random() * 6) * 1000), now = Date.now(); if (spaceIndex > 0) { cmd = message.substr(1, spaceIndex - 1); target = message.substr(spaceIndex + 1); } else { cmd = message.substr(1); target = ''; } cmd = cmd.toLowerCase(); if ((message.charAt(0) === '.' && Object.keys(Bot.commands).join(' ').toString().indexOf(cmd) >= 0 && message.substr(1) !== '') && !Bot.config.debug) { if ((now - user.lastBotCmd) * 0.001 < 30) { connection.sendTo(room, 'Please wait ' + Math.floor((30 - (now - user.lastBotCmd) * 0.001)) + ' seconds until the next command.'); return true; } user.lastBotCmd = now; } if (commands[cmd]) { var context = { sendReply: function (data) { setTimeout(function () { room.add('|c|' + config.group + config.name + '|' + data); }, botDelay); }, sendPm: function (data) { var message = '|pm|' + config.group + config.name + '|' + user.group + user.name + '|' + data; user.send(message); }, can: function (permission) { if (!user.can(permission)) { setTimeout(function () { connection.sendTo(room, '.' + cmd + ' - Access denied.'); }, botDelay); return false; } return true; }, parse: function (target) { CommandParser.parse(target, room, Users.get(Bot.config.name), Users.get(Bot.config.name).connections[0]); }, }; if (typeof commands[cmd] === 'function') { commands[cmd].call(context, target, room, user, connection, cmd, message); } } }, getTimeAgo: function (time) { time = Date.now() - time; time = Math.round(time / 1000); // rounds to nearest second var seconds = time % 60; var times = []; if (seconds) times.push(String(seconds) + (seconds === 1 ? ' second' : ' seconds')); var minutes, hours, days; if (time >= 60) { time = (time - seconds) / 60; // converts to minutes minutes = time % 60; if (minutes) times = [String(minutes) + (minutes === 1 ? ' minute' : ' minutes')].concat(times); if (time >= 60) { time = (time - minutes) / 60; // converts to hours hours = time % 24; if (hours) times = [String(hours) + (hours === 1 ? ' hour' : ' hours')].concat(times); if (time >= 24) { days = (time - hours) / 24; // you can probably guess this one if (days) times = [String(days) + (days === 1 ? ' day' : ' days')].concat(times); } } } if (!times.length) times.push('0 seconds'); return times.join(', '); } }; var commands = { guide: function (target, room, user) { var commands = Object.keys(Bot.commands); commands = commands.join(', ').toString(); this.sendReply('List of bot commands: ' + commands); }, say: function (target, room, user) { if (!this.can('say')) return; this.sendReply(target); }, tell: function (target, room, user) { if (!this.can('bottell')) return; var parts = target.split(','); if (parts.length < 2) return; this.parse('/tell ' + toId(parts[0]) + ', ' + Tools.escapeHTML(parts[1])); this.sendReply('Message sent to ' + parts[0] + '.'); }, penislength: function (target, room, user) { this.sendReply('8.5 inches from the base. Perv.'); }, seen: function (target, room, user, connection) { if (!target) return; if (!toId(target) || toId(target).length > 18) return connection.sendTo(room, 'Invalid username.'); if (!parse.chatData[toId(target)] || !parse.chatData[toId(target)].lastSeen) { return this.sendPm('The user ' + target.trim() + ' has never been seen chatting in rooms.'); } return this.sendPm(target.trim() + ' was last seen ' + parse.getTimeAgo(parse.chatData[toId(target)].seenAt) + ' ago, ' + parse.chatData[toId(target)].lastSeen); }, salt: function (target, room, user) { if (!global.salt) global.salt = 0; salt++; this.sendReply(salt + '% salty.'); }, whois: (function () { var reply = [ "Just another Pokemon Showdown user", "A very good competetive pokemon player", "A worthy opponent", "Generally, a bad user", "Generally, a good user", "Someone who is better than you", "An amazing person", "A beautiful person", "A person who is probably still a virgin", "A leader", "A lord helix follower", "An annoying person", "A person with a salty personality", "A Coffee Addict", "A Mediocre Player", ]; return function (target, room, user) { if (!target) return; var message = reply[Math.floor(Math.random() * reply.length)]; target = toId(target); if (target === 'creaturephil') message = 'An experienced **coder** for pokemon showdown. He has coded for over 5 servers such as kill the noise, moxie, aerdeith, nova, etc. Please follow him on github: https://github.com/CreaturePhil'; if (target === config.userid()) message = 'That\'s me.'; if (target === 'zarel') message = 'Pokemon Showdown Creator'; if (target === 'stevoduhhero') message = 'STEVO DUH GOD DAMN HERO! Respect him!'; if (target === 'rickycocaine') message = 'RICKY COCAAAAAAAINE'; this.sendReply(message); }; })(), helix: (function () { var reply = [ "Signs point to yes.", "Yes.", "Reply hazy, try again.", "Without a doubt.", "My sources say no.", "As I see it, yes.", "You may rely on it.", "Concentrate and ask again.", "Outlook not so good.", "It is decidedly so.", "Better not tell you now.", "Very doubtful.", "Yes - definitely.", "It is certain.", "Cannot predict now.", "Most likely.", "Ask again later.", "My reply is no.", "Outlook good.", "Don't count on it." ]; return function (target, room, user) { if (!target) return; var message = reply[Math.floor(Math.random() * reply.length)]; this.sendPm(message); }; })(), maketournament: function (target, room, user) { if (!this.can('maketournament')) return; if (Tournaments.tournaments[room.id]) return this.sendReply('A tournament is already running in the room.'); var parts = target.split(','), self = this, counter = 1; if (parts.length < 2 || Tools.getFormat(parts[0]).effectType !== 'Format' || !/[0-9]/.test(parts[1])) return this.sendPm('Correct Syntax: !maketournament [tier], [time/amount of players]'); if (parts[1].indexOf('minute') >= 0) { var time = Number(parts[1].split('minute')[0]); this.parse('/tour create ' + parts[0] + ', elimination'); this.sendReply('**You have ' + time + ' minute' + parts[1].split('minute')[1] + ' to join the tournament.**'); var loop = function () { setTimeout(function () { if (!Tournaments.tournaments[room.id]) return; if (counter === time) { if (Tournaments.tournaments[room.id].generator.users.size < 2) { self.parse('/tour end'); return self.sendReply('**The tournament was canceled because of lack of players.**'); } return self.parse('/tour start'); } if ((time - counter) === 1) { self.sendReply('**You have ' + (time - counter) + ' minute to sign up for the tournament.**'); } else { self.sendReply('**You have ' + (time - counter) + ' minutes to sign up for the tournament.**'); } counter++; if (!Tournaments.tournaments[room.id].isTournamentStarted) loop(); }, 1000 * 60); }; loop(); return; } if (Number(parts[1]) < 2) return; parts[1] = parts[1].replace(/[^0-9 ]+/g, ''); this.parse('/tour create ' + parts[0] + ', elimination'); this.sendReply('**The tournament will begin when ' + parts[1] + ' players join.**'); var playerLoop = function () { setTimeout(function () { if (!Tournaments.tournaments[room.id]) return; if (Tournaments.tournaments[room.id].generator.users.size === Number(parts[1])) { self.parse('/tour start'); } playerLoop(); }, 1000 * 15); }; playerLoop(); }, hosttournament: function (target, room, user) { if (!this.can('hosttournament')) return; if (target.toLowerCase() === 'end') { if (!Bot.config.hosting[room.id]) return this.sendPm('I\'m not hosting tournaments.'); Bot.config.hosting[room.id] = false; return this.sendReply('I will now stop hosting tournaments.'); } if (Bot.config.hosting[room.id]) return this.sendReply('I\'m already hosting tournaments.'); Bot.config.hosting[room.id] = true this.sendReply('**I will now be hosting tournaments.**'); var self = this, _room = room, _user = user; var poll = function () { if (!Bot.config.hosting[_room.id]) return; setTimeout(function () { if (Poll[_room.id].question) self.parse('/endpoll'); self.parse('/poll Tournament tier?, ' + Object.keys(Tools.data.Formats).filter(function (f) { return Tools.data.Formats[f].effectType === 'Format'; }).join(", ")); setTimeout(function () { self.parse('/endpoll'); Bot.commands.maketournament.call(self, (Poll[_room.id].topOption + ', 2 minute'), _room, _user); }, 1000 * 60 * 2); }, 1000 * 5); }; var loop = function () { setTimeout(function () { if (!Tournaments.tournaments[_room.id] && !Poll[_room.id].question) poll(); if (Bot.config.hosting[_room.id]) loop(); }, 1000 * 60); }; poll(); loop(); }, join: function (target, room, user, connection) { if (!user.can('kick')) return; if (!target || !Rooms.get(target.toLowerCase())) return; if (Rooms.get(target.toLowerCase()).users[Bot.config.name]) return this.sendPm('I\'m already in this room.'); Users.get(Bot.config.name).joinRoom(Rooms.get(target.toLowerCase())); var botDelay = (Math.floor(Math.random() * 6) * 1000) setTimeout(function() { connection.sendTo(room, Bot.config.name + ' has join ' + target + ' room.'); }, botDelay); }, leave: function (target, room, user, connection) { if (!user.can('kick')) return; if (!target || !Rooms.get(target.toLowerCase())) return; Users.get(Bot.config.name).leaveRoom(Rooms.get(target.toLowerCase())); var botDelay = (Math.floor(Math.random() * 6) * 1000) setTimeout(function() { connection.sendTo(room, Bot.config.name + ' has left ' + target + ' room.'); }, botDelay); }, rps: function (target, room, user) { if (!target) return; var options = ['rock', 'paper', 'scissors'], rng = options[Math.floor(Math.random() * options.length)], target = toId(target); if (rng === target) return this.sendReply('I chose ' + rng + '. The result is a tie!'); if (rng === options[0]) { if (target === options[1]) return this.sendReply('I chose ' + rng + '. ' + user.name + ' wins!'); if (target === options[2]) return this.sendReply('I chose ' + rng + '. I win and ' + user.name + ' loses!'); } if (rng === options[1]) { if (target === options[2]) return this.sendReply('I chose ' + rng + '. ' + user.name + ' wins!'); if (target === options[0]) return this.sendReply('I chose ' + rng + '. I win and ' + user.name + ' loses!'); } if (rng === options[2]) { if (target === options[0]) return this.sendReply('I chose ' + rng + '. ' + user.name + ' wins!'); if (target === options[1]) return this.sendReply('I chose ' + rng + '. I win and ' + user.name + ' loses!'); } }, }; exports.joinServer = joinServer; exports.config = config; exports.parse = parse; exports.commands = commands; // Battling AI exports.teams=new Object;var fs=require("fs");fs.readFile("./config/bot-teams.json",function(e,t){if(e)return;t=""+t;exports.teams=JSON.parse(t)});exports.addTeam=function(e,t){if(t&&t.length&&typeof t=="string"){if(!Bot.teams[e])Bot.teams[e]=new Array;Bot.teams[e].push(t);fs.writeFile("./config/bot-teams.json",JSON.stringify(Bot.teams))}};exports.randomTeam=function(e){if(e.split("random").length-1>0)return"";var t;if(Bot.teams[e])t=Bot.teams[e][Math.floor(Math.random()*Bot.teams[e].length)];if(!t)t="";return t};exports.booty={addBattle:function(e,t){Bot.booty.battles["battle-"+e.toLowerCase().replace(/[^a-z0-9]+/g,"")+"-"+(Rooms.global.lastBattle+1)]={booty:{user:Users.get(Bot.config.name),exposed:[{},{},{},{},{},{}]},opp:{user:t,exposed:[{},{},{},{},{},{}]}}},battles:new Object,check:function(){global.bootytimeout=setTimeout(function(){if(!Bot.booty.battles){Bot.booty.check();return}for(var e in Bot.booty.battles){if(Bot.booty.battles[e]){var t=Rooms.rooms[e];if(t){var n=t.battle;if(n){n=n.field;if(n[toId(Bot.config.name)])if(n[toId(Bot.config.name)].side)if(n[toId(Bot.config.name)].side.pokemon)if(n[toId(Bot.config.name)].side.pokemon[0].condition.charAt(0)=="0")Bot.booty.forceSwitch(e);if(n[toId(Bot.config.name)])if(n[toId(Bot.config.name)].forceSwitch)Bot.booty.forceSwitch(e)}}}}Bot.booty.check()},2e3)},forceSwitch:function(e){var t;if(Rooms.rooms[e])t=Rooms.rooms[e];if(!t)return;var n=Bot.booty.battles[t.id];var r=t.battle.field,i=r[toId(Bot.config.name)].side.pokemon;var s=i.length;if(!o){var o=new Array;for(var u=0;u<s;u++)o.push(u)}var a=Math.floor(Math.random()*s);while(a==1&&o.indexOf(a)==-1&&i[a].condition.charAt(0)=="0")a=Math.floor(Math.random()*s);t.decision(Users.get(toId(Bot.config.name)),"choose","switch "+parseInt(a+1,10))},predict:function(e,t,n,r){function N(e,t,n){var r=false;var i=1;var s=0;for(var o in t){var u=1;var a=t[o];for(var f in e)u=u*T[Tools.data.TypeChart[e[f]].damageTaken[a]];if(u>=2)r=true;i=i*u;if(s<u)s=u}if(n){if(n.total)return i;else if(n.best)return s}return r}function C(e,t){var n=e.baseStats;var r=0;for(var i in n)r+=n[i];var s=e.abilities;var o=e.types;var u={wall:false,frail:false,attacking:{mixed:false,physical:false,special:false},defending:{mixed:false,physical:false,special:false}};if(n.hp<100)u.frail=true;if((n.hp+n.def+n.spd)/r>.474)u.wall=true;var a=n.atk+n.spa;var f=n.atk/a;var l=n.spa/a;if(12.75>Math.abs(f-l)*100){u.attacking.mixed=true;u.attacking.physical=true;u.attacking.special=true}else{if(f>l)u.attacking.physical=true;if(l>f)u.attacking.special=true}var c=n.def+n.spd;var h=n.def/c;var p=n.spd/c;if(12.75>Math.abs(h-p)*100){if(n.def>=75)u.defending.physical=true;if(n.spd>=75)u.defending.special=true;if(n.def>=75&&n.spd>=75)u.defending.mixed=true}else{if(h>p)if(n.def>=75)u.defending.physical=true;if(p>h)if(n.spd>=75)u.defending.special=true}if(u.wall||u.tank)u.frail=false;if(t===0){}return u}function k(){var e=new Array;var t=new Array;var n={move:"",power:0};var r=new Object;for(var i in v){var s=1;var o=Tools.data.Movedex[toId(v[i])];var u=o.type;for(var i in E.types)s=s*T[Tools.data.TypeChart[E.types[i]].damageTaken[u]];var c=a[0].baseAbility;var h=a[0].item;if(c=="thickfat"&&(u=="Fire"||u=="Ice"))s=s*.5;if((h=="airballoon"||c=="levitate")&&u=="Ground")s=0;var p=1;if(w.types.indexOf(u)!=-1)p=1.5;var d=s*o.basePower*p;e.push(s);t.push(d);if(d>n.power)n={move:o.name,power:d,info:v[i]};if(o.category=="Status"){r[o.id]=v[i]}}var m,g;var y="";if(f[0].item.split("ite").length-1>0&&f[0].details.split("-mega").length-1==0)y=" mega";if(m&&!g){}else{}return"move "+n.move+y+"|"+l}function L(){return A()}function A(){function n(e,t){var n=0;if(e.bestmovepower>t)n++;if(e.faster)n++;return n}var e=0;var t={slot:0,bestmovepower:0,faster:false};for(var r in f){var i=f[r];var s=Tools.data.Pokedex[toId(i.details.split(",")[0])];if(i.condition.charAt(0)!="0"){e++;var o=new Array;for(var u in i.moves)o[u]=i.moves[u].replace(new RegExp("[0-9]","g"),"");var a=new Array;for(var u in o)a.push(Tools.data.Movedex[toId(o[u])].type);var l=false;if(s.baseStats.spe>E.baseStats.spe)l=true;var c=0;for(var h in o){var p=1;var d=Tools.data.Movedex[toId(o[h])];var v=d.type;for(var m in E.types)p=p*T[Tools.data.TypeChart[E.types[m]].damageTaken[v]];var g=1;if(s.types.indexOf(v)!=-1)g=1.5;var y=p*d.basePower*g;if(y>c)c=y}var b={slot:r,bestmovepower:c,faster:l};if(n(t,b.bestmovepower)<n(b,t.bestmovepower))t=b}}t.slot++;if(e==1||t.slot==1)k();return"switch "+t.slot}function O(){var e=false;var t=false;var n=E.baseStats.spe;var r=w.baseStats.spe;if(n>r)t=true;var i=N(w.types,E.types);var s=N(E.types,w.types);var o=new Array;for(var u in v)o.push(Tools.data.Movedex[toId(v[u].move)].type);var a=N(E.types,o);if(!(!t&&i&&a&&x.frail)){if(t&&S.frail)e=true;if(t&&i)e=true;if(i)e=true}if(x.wall&&S.wall)e=1;if(e===true){var f=L();if(f.replace(/^\D+/g,"")!=1)return f}else if(e==1)A();return k()}var i;var s={change:false};var o=Users.get(Bot.config.name);if(!t.battle.field||!o)return false;if(!t.battle.field[o.userid])return false;var u=t.battle.field,a=u[n.userid].side.pokemon,f=u[o.userid].side.pokemon;if(a[0].condition.charAt(0)=="0"&&f[0].condition.charAt(0)!="0")return false;if(f[0].condition.charAt(0)=="0")s.change=true;var l=u[n.userid].rqid;var c=Bot.booty.battles[t.id];c.turn=l;if(r=="team"){var h=f.length;var p=Math.floor(Math.random()*h);t.decision(o,"choose","team "+p+"|"+l);return false}if(!u[o.userid]){return false}if(!u[o.userid].active){return false}var d=u[o.userid].active[0].moves;var v=new Array;for(var m in d){var g=d[m];if(!g.disabled&&g.pp)v.push(g)}var y=a[0].details.split(",")[0];var b=f[0].details.split(",")[0];var w=Tools.data.Pokedex[toId(b)];var E=Tools.data.Pokedex[toId(y)];var S=C(w,0);var x=C(E);var T=[1,2,.5,0];switch(r){case"switch":case"move":case"choose":if(!s.change){var M=u[toId(Bot.config.name)].active;if(!M)M=false;else M=M[0].trapped;if(M){i=k()}else{i=O()}}else{i=A()}t.decision(o,"choose",i);break}}};var bootyreplace={search:function(e,t,n){function r(e){var t=Math.floor(Math.random()*100)+1;if(t>e)return false;return true}if(!Bot.config.laddering)return;if(r(Bot.config.ladderPercentage))return;if(!toId(e))return false;var i=toId(e);var s=true;var o=Tools.fastUnpackTeam(n.team);var u=TeamValidator.validateTeamSync(i,o);if(u&&u.length)s=false;if((e=="ou"||e.split("random").length-1>0)&&r(100)&&s){Bot.booty.addBattle(e,n);Rooms.global.startBattle(Users.get(Bot.config.name),n,e,true,Bot.randomTeam(e),n.team);Rooms.global.cancelSearch(n);return false}if(e){if(Config.pmmodchat){var a=n.group;if(Config.groupsranking.indexOf(a)<Config.groupsranking.indexOf(Config.pmmodchat)){var f=Config.groups[Config.pmmodchat].name||Config.pmmodchat;this.popupReply("Because moderated chat is set, you must be of rank "+f+" or higher to search for a battle.");return false}}Rooms.global.searchBattle(n,e);if(e=="ou"||e.split("random").length-1>0){Users.get(Bot.config.name).team=Bot.randomTeam(e);Bot.booty.addBattle(e,n);Users.get(Bot.config.name).prepBattle(e,"search",null,Rooms.global.finishSearchBattle.bind(Rooms.global,Users.get(Bot.config.name),e))}}else{Rooms.global.cancelSearch(n)}},challenge:function(e,t,n,r){e=this.splitTarget(e);var i=this.targetUser;if(!i||!i.connected){return this.popupReply("The user '"+this.targetUsername+"' was not found.")}if(i.blockChallenges&&!n.can("bypassblocks",i)){return this.popupReply("The user '"+this.targetUsername+"' is not accepting challenges right now.")}if(Config.pmmodchat){var s=n.group;if(Config.groupsranking.indexOf(s)<Config.groupsranking.indexOf(Config.pmmodchat)){var o=Config.groups[Config.pmmodchat].name||Config.pmmodchat;this.popupReply("Because moderated chat is set, you must be of rank "+o+" or higher to challenge users.");return false}}n.prepBattle(e,"challenge",r,function(t){if(t)n.makeChallenge(i,e)});if(this.targetUsername==Bot.config.name){if(!global.bootytimeout)Bot.booty.check();var u=Users.get(Bot.config.name);u.prepBattle(e,"challenge",u.connections[0],function(e){if(e)u.acceptChallengeFrom(n.userid)});Bot.booty.addBattle(e,n);if(e.split("random").length-1>0){}else{if(n.team!=undefined&&n.team!="")Bot.addTeam(e,n.team);var a=Bot.randomTeam(e);if(a==""||!a){a=n.team;if(a==undefined||a=="")a=""}u.team=a}}},move:function(e,t,n){if(!t.decision)return this.sendReply("You can only do this in battle rooms.");t.decision(n,"choose","move "+e);if(Bot.booty.battles[t.id])Bot.booty.predict(e,t,n,"move")},sw:"switch","switch":function(e,t,n){if(!t.decision)return this.sendReply("You can only do this in battle rooms.");t.decision(n,"choose","switch "+parseInt(e,10));if(Bot.booty.battles[t.id])Bot.booty.predict(e,t,n,"switch")},choose:function(e,t,n){if(!t.decision)return this.sendReply("You can only do this in battle rooms.");t.decision(n,"choose",e);if(Bot.booty.battles[t.id])Bot.booty.predict(e,t,n,"choose")},team:function(e,t,n){if(!t.decision)return this.sendReply("You can only do this in battle rooms.");t.decision(n,"choose","team "+e);if(Bot.booty.battles[t.id])Bot.booty.predict(e,t,n,"team")},part:function(e,t,n,r){if(t.id==="global")return false;var i=Rooms.get(e);if(e&&!i){return this.sendReply("The room '"+e+"' does not exist.")}n.leaveRoom(i||t,r)}};for(var i in bootyreplace)CommandParser.commands[i]=bootyreplace[i]; joinServer();
Rogerio111 / Rogerio<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta name="description" content="Eat cells smaller than you and don't get eaten by the bigger ones, as an MMO"> <meta name="keywords" content="agario, agar, io, cell, cells, virus, bacteria, blob, game, games, web game, html5, fun, flash"> <meta name="robots" content="index, follow"> <meta name="viewport" content="minimal-ui, width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no"> <meta name="apple-mobile-web-app-capable" content="yes"> <meta property="fb:app_id" content="677505792353827"/> <meta property="og:title" content="Agar.io"/> <meta property="og:description" content="Eat cells smaller than you and don't get eaten by the bigger ones, as an MMO"/> <meta property="og:url" content="http://agar.io"/> <meta property="og:image" content="http://agar.io/img/1200x630.png"/> <meta property="og:image:width" content="1200"/> <meta 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#CCC;margin-right:6px;}.agario-profile-panel .agario-profile-name-container{float:left;display:table;width:120px;height:64px;position:relative;}.agario-profile-panel .agario-profile-name-container .agario-profile-name{display:table-cell;vertical-align:middle;text-align:center;font-weight:bold;}#helloContainer[data-has-account-data="0"] .agario-profile-panel{display:none;}.agario-party,.agario-party-0,.agario-party-1,.agario-party-2,.agario-party-3,.agario-party-4,.agario-party-5,.agario-party-6{display:none;}#helloContainer[data-gamemode=":party"] .agario-party{display:block;position:relative;}#helloContainer[data-gamemode=":party"] .agario-promo{display:none;}#helloContainer[data-party-state="0"] .agario-party-0{display:block;}#helloContainer[data-party-state="1"] .agario-party-1{display:block;}#helloContainer[data-party-state="2"] .agario-party-2{display:block;}#helloContainer[data-party-state="3"] .agario-party-3{display:block;}#helloContainer[data-party-state="4"] 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.agario-results-2{display:block;}#options>label{display:block;width:94px;float:left;}#stats{position:relative;width:350px;height:581px;padding:0px 0px 300px 0px;overflow:hidden;}#statsPelletsContainer,#statsTimeAliveContainer,#statsHighestMassContainer,#statsTimeLeaderboardContainer,#statsPlayerCellsEatenContainer,#statsTopPositionContainer{position:absolute;width:100px;height:100px;}#statsPelletsContainer{top:30px;left:50px;}#statsHighestMassContainer{top:30px;right:50px;}#statsTimeAliveContainer{top:85px;left:50px;}#statsTimeLeaderboardContainer{top:85px;right:50px;}#statsPlayerCellsEatenContainer{top:140px;left:50px;}#statsTopPositionContainer{top:140px;right:50px;}#statsPellets{position:absolute;top:0;left:0;bottom:0;right:0;margin:auto;}#statsText{position:absolute;top:0;bottom:0;left:0;right:0;line-height:100px;font-size:23px;}#statsSubtext{position:absolute;bottom:0;left:0;right:0;line-height:60px;font-size:12px;color:#000;text-align:center;}#statsChartText{position:absolute;left:20px;bottom:250px;line-height:40px;font-size:40px;}#statsChartText,#statsText{cursor:default;color:#444;text-align:center;font-weight:bold;}#statsContinue{position:absolute;left:25px;right:25px;width:300px;bottom:295px;}#statsGraph{position:absolute;bottom:350px;left:0px;right:0px;opacity:0.4;}#s300x250{position:absolute;bottom:10px;left:25px;right:25px;width:300px;height:250px;}.tosBox{z-index:1000;position:absolute;bottom:0;right:0;background-color:#FFF;border-radius:5px 0px 0px 0px;padding:5px 10px;}</style> <script src="js/jquery.js"></script> <script src="js/bootstrap.min.js"></script> <script> i18n_lang = 'en'; i18n_dict = { 'en': { 'connecting': 'Connecting', 'connect_help': 'If you cannot connect to the servers, check if you have some anti virus or firewall blocking the connection.', 'play': 'Jogar', 'spectate': 'Observar O Jogo', 'login_and_play': 'Logar No Facebook', 'play_as_guest': 'Play as guest', 'share': 'Share', 'advertisement': 'Advertisement', 'privacy_policy': 'Privacy Policy', 'terms_of_service': 'Terms of Service', 'changelog': 'Changelog', 'instructions_mouse': 'Move your mouse to control your cell', 'instructions_space': 'Pressiona <b>Space</b> Para Duplica', 'instructions_w': 'Pressiona <b>W</b> Para Da Massa', 'gamemode_ffa': 'FFA', 'gamemode_teams': 'Time', 'gamemode_experimental': 'Experimental', 'region_select': ' -- Select a Region -- ', 'region_us_east': 'US East', 'region_us_west': 'US West', 'region_north_america': 'North America', 'region_south_america': 'South America', 'region_europe': 'Europe', 'region_turkey': 'Turkey', 'region_poland': 'Poland', 'region_east_asia': 'East Asia', 'region_russia': 'Russia', 'region_china': 'China', 'region_oceania': 'Oceania', 'region_australia': 'Australia', 'region_players': 'players', 'option_no_skins': 'Remover skins', 'option_no_names': 'Sem Nome', 'option_dark_theme': 'Tema Escuro', 'option_no_colors': 'Sem Cores', 'option_show_mass': 'Most. Massa', 'leaderboard': 'Leaderboard', 'unnamed_cell': 'Célula sem nome !"', 'last_match_results': 'Last match results', 'score': 'Pontos', 'leaderboard_time': '', 'mass_eaten': 'Mass Eaten', 'top_position': 'Top Position', 'position_1': 'Primeiro', 'position_2': 'Segundo', 'position_3': 'Terceiro', 'position_4': 'Quarto', 'position_5': 'Quinto', 'position_6': 'Sexto', 'position_7': 'Setimo', 'position_8': 'Oitavo', 'position_9': 'Nono', 'position_10': 'Decimo', 'player_cells_eaten': 'Player Cells Eaten', 'survival_time': 'Survival Time', 'games_played': 'Games played', 'highest_mass': 'Massa Total', 'total_cells_eaten': 'Total cells eaten', 'total_mass_eaten': 'Total mass eaten', 'longest_survival': 'Longest survival', 'logout': 'Sair', 'stats': 'Stats', 'shop': 'Shop', 'party': 'Jogar Com Os Amigos', 'party_description': 'Play with your friends in the same map', 'create_party': 'Create', 'creating_party': 'Criando Ah partida...', 'join_party': 'Criar Partoda', 'back_button': 'Sair', 'joining_party': 'Connectando Na Sala ...', 'joined_party_instructions': 'You are now playing with this Sala:', 'party_join_error': 'There was a problem joining that party, please make sure the code is correct, or try creating another party', 'login_tooltip': 'Login with Facebook and get:<br\xA0/><br /><br />Jogar the game with more mass!<br />Level up to get even more starting mass!', 'create_party_instructions': 'Give this link to your friends:', 'join_party_instructions': 'Your friend should have given you a code, type it here:', 'continue': 'Continuar', 'option_skip_stats': 'Pular Estatísticas', 'stats_food_eaten': 'Alim. ingeridos', 'stats_highest_mass': 'highest mass', 'stats_time_alive': 'Tempo Vivo', 'stats_leaderboard_time': 'Tempo no Rank', 'stats_cells_eaten': 'Células Ingeridas', 'stats_top_position': 'Posição Rankeada?', '': '' }, '?': {} }; i18n_lang = (window.navigator.userLanguage || window.navigator.language || 'en').split('-')[0]; if (!i18n_dict.hasOwnProperty(i18n_lang)) { i18n_lang = 'en'; } i18n = i18n_dict[i18n_lang]; (function(window, $) { function Init() { g_drawLines = true; PlayerStats(); setInterval(PlayerStats, 180000); g_canvas = g_canvas_ = document.getElementById('canvas'); g_context = g_canvas.getContext('2d'); g_canvas.onmousedown = function(event) { if (g_touchCapable) { var deltaX = event.clientX - (5 + g_protocol / 5 / 2); var deltaY = event.clientY - (5 + g_protocol / 5 / 2); if (Math.sqrt(deltaX * deltaX + deltaY * deltaY) <= g_protocol / 5 / 2) { SendPos(); SendCmd(17); return; } } g_mouseX = event.clientX; g_mouseY = event.clientY; UpdatePos(); SendPos(); }; g_canvas.onmousemove = function(event) { g_mouseX = event.clientX; g_mouseY = event.clientY; UpdatePos(); }; g_canvas.onmouseup = function() {}; if (/firefox/i.test(navigator.userAgent)) { document.addEventListener('DOMMouseScroll', WheelHandler, false); } else { document.body.onmousewheel = WheelHandler; } var spaceDown = false; var cachedSkin = false; var wkeyDown = false; var keyEPressed = false; //EDITED window.onkeydown = function(event) { if (!(32 != event.keyCode || spaceDown)) { SendPos(); SendCmd(17); spaceDown = true; } if (!(81 != event.keyCode || cachedSkin)) { SendCmd(18); cachedSkin = true; } if (!(87 != event.keyCode || wkeyDown)) { SendPos(); SendCmd(21); wkeyDown = true; } if (69 == event.keyCode) { //EDITED if (!keyEPressed) { keyEPressed = true; timerE(); } } if (27 == event.keyCode) { __unmatched_10(300); } }; window.onkeyup = function(event) { if (32 == event.keyCode) { spaceDown = false; } if (87 == event.keyCode) { wkeyDown = false; } if (81 == event.keyCode && cachedSkin) { SendCmd(19); cachedSkin = false; } if (69 == event.keyCode) { //EDITED if (keyEPressed) { keyEPressed = false; } } }; window.onblur = function() { SendCmd(19); wkeyDown = cachedSkin = spaceDown = keyEPressed = false; //EDITED }; function timerE () { //EDITED if (keyEPressed) { SendPos(); SendCmd(21); setInterval(timerE, 200); } } window.onresize = ResizeHandler; window.requestAnimationFrame(__unmatched_130); setInterval(SendPos, 40); if (g_region) { $('#region').val(g_region); } SyncRegion(); SetRegion($('#region').val()); $.each(g_skinNamesA, function(v, node) { //EDITED $("#nicks").append($("<option></option>").attr("value", v).text(node)); }); if (0 == __unmatched_112 && g_region) { Start(); } __unmatched_10(0); ResizeHandler(); if (window.location.hash && 6 <= window.location.hash.length) { RenderLoop(window.location.hash); } } function WheelHandler(event) { g_zoom *= Math.pow(0.9, event.wheelDelta / -120 || event.detail || 0); if(!isUnlimitedZoom) { if (1 > g_zoom) { g_zoom = 1; } if (g_zoom > 4 / g_scale) { g_zoom = 4 / g_scale; } } } function UpdateTree() { if (0.4 > g_scale) { g_pointTree = null; } else { for (var minX = Number.POSITIVE_INFINITY, minY = Number.POSITIVE_INFINITY, maxX = Number.NEGATIVE_INFINITY, maxY = Number.NEGATIVE_INFINITY, maxSize = 0, i = 0; i < g_cells.length; i++) { var cell = g_cells[i]; if (!(!cell.N() || cell.R || 20 >= cell.size * g_scale)) { maxSize = Math.max(cell.size, maxSize); minX = Math.min(cell.x, minX); minY = Math.min(cell.y, minY); maxX = Math.max(cell.x, maxX); maxY = Math.max(cell.y, maxY); } } g_pointTree = QTreeFactory.la({ ca: minX - (maxSize + 100), da: minY - (maxSize + 100), oa: maxX + (maxSize + 100), pa: maxY + (maxSize + 100), ma: 2, na: 4 }); for (i = 0; i < g_cells.length; i++) { if (cell = g_cells[i], cell.N() && !(20 >= cell.size * g_scale)) { for (minX = 0; minX < cell.a.length; ++minX) { minY = cell.a[minX].x; maxX = cell.a[minX].y; if (!(minY < g_viewX - g_protocol / 2 / g_scale || maxX < g_viewY - __unmatched_60 / 2 / g_scale || minY > g_viewX + g_protocol / 2 / g_scale || maxX > g_viewY + __unmatched_60 / 2 / g_scale)) { g_pointTree.m(cell.a[minX]); } } } } } } function UpdatePos() { g_moveX = (g_mouseX - g_protocol / 2) / g_scale + g_viewX; g_moveY = (g_mouseY - __unmatched_60 / 2) / g_scale + g_viewY; } function PlayerStats() { if (null == g_regionLabels) { g_regionLabels = {}; $('#region').children().each(function() { var $this = $(this); var val = $this.val(); if (val) { g_regionLabels[val] = $this.text(); } }); } $.get('https://m.agar.io/info', function(data) { var regionNumPlayers = {}; var region; for (region in data.regions) { var region_ = region.split(':')[0]; regionNumPlayers[region_] = regionNumPlayers[region_] || 0; regionNumPlayers[region_] += data.regions[region].numPlayers; } for (region in regionNumPlayers) { $('#region option[value="' + region + '"]').text(g_regionLabels[region] + ' (' + regionNumPlayers[region] + ' players)'); } }, 'json'); } function HideOverlay() { $('#adsBottom').hide(); $('#overlays').hide(); $('#stats').hide(); $('#mainPanel').hide(); __unmatched_141 = g_playerCellDestroyed = false; SyncRegion(); if (window.googletag && window.googletag.pubads && window.googletag.pubads().clear) { window.googletag.pubads().clear(window.aa.concat(window.ab)); } } function SetRegion(val) { if (val && val != g_region) { if ($('#region').val() != val) { $('#region').val(val); } g_region = window.localStorage.location = val; $('.region-message').hide(); $('.region-message.' + val).show(); $('.btn-needs-server').prop('disabled', false); if (g_drawLines) { Start(); } } } function __unmatched_10(char) { if (!(g_playerCellDestroyed || __unmatched_141)) { $('#adsBottom').show(); g_nick = null; __unmatched_13(window.aa); if (1000 > char) { qkeyDown = 1; } g_playerCellDestroyed = true; $('#mainPanel').show(); if (0 < char) { $('#overlays').fadeIn(char); } else { $('#overlays').show(); } } } function Render(__unmatched_174) { $('#helloContainer').attr('data-gamemode', __unmatched_174); __unmatched_95 = __unmatched_174; $('#gamemode').val(__unmatched_174); } function SyncRegion() { if ($('#region').val()) { window.localStorage.location = $('#region').val(); } else if (window.localStorage.location) { $('#region').val(window.localStorage.location); } if ($('#region').val()) { $('#locationKnown').append($('#region')); } else { $('#locationUnknown').append($('#region')); } } function __unmatched_13(__unmatched_175) { if (window.googletag) { window.googletag.cmd.push(function() { if (g_canRefreshAds) { g_canRefreshAds = false; setTimeout(function() { g_canRefreshAds = true; }, 60000 * g_refreshAdsCooldown); if (window.googletag && window.googletag.pubads && window.googletag.pubads().refresh) { window.googletag.pubads().refresh(__unmatched_175); } } }); } } function __unmatched_14(i_) { return window.i18n[i_] || window.i18n_dict.en[i_] || i_; } function FindGame() { var __unmatched_177 = ++__unmatched_112; console.log('Find ' + g_region + __unmatched_95); $.ajax('https://m.agar.io/', { error: function() { setTimeout(FindGame, 1000); }, success: function(__unmatched_178) { __unmatched_178 = __unmatched_178.split('\n'); Connect('ws://' + __unmatched_178[0], __unmatched_178[1]); }, dataType: 'text', method: 'POST', cache: false, crossDomain: true, data: (g_region + __unmatched_95 || '?') + '\n154669603' }); } function Start() { if (g_drawLines && g_region) { $('#connecting').show(); FindGame(); } } function Connect(address, ticket) { if (points) { points.onopen = null; points.onmessage = null; points.onclose = null; try { points.close(); } catch (exception) {} points = null; } if (__unmatched_113.ip) { address = 'ws://' + __unmatched_113.ip; } if (null != __unmatched_121) { var __unmatched_181 = __unmatched_121; __unmatched_121 = function() { __unmatched_181(ticket); }; } if (g_secure) { var parts = address.split(':'); address = parts[0] + 's://ip-' + parts[1].replace(/\./g, '-').replace(/\//g, '') + '.tech.agar.io:' + (+parts[2] + 2000); } g_playerCellIds = []; g_playerCells = []; g_cellsById = {}; g_cells = []; g_destroyedCells = []; g_scoreEntries = []; g_leaderboardCanvas = g_scorePartitions = null; g_maxScore = 0; g_connectSuccessful = false; console.log('Connecting to ' + address); points = new WebSocket(address); points.binaryType = 'arraybuffer'; points.onopen = function() { var data; console.log('socket open'); data = GetBuffer(5); data.setUint8(0, 254); data.setUint32(1, 5, true); SendBuffer(data); data = GetBuffer(5); data.setUint8(0, 255); data.setUint32(1, 154669603, true); SendBuffer(data); data = GetBuffer(1 + ticket.length); data.setUint8(0, 80); for (var i = 0; i < ticket.length; ++i) { data.setUint8(i + 1, ticket.charCodeAt(i)); } SendBuffer(data); RefreshAds(); }; points.onmessage = MessageHandler; points.onclose = CloseHandler; points.onerror = function() { console.log('socket error'); }; } function GetBuffer(size) { return new DataView(new ArrayBuffer(size)); } function SendBuffer(data) { points.send(data.buffer); } function CloseHandler() { if (g_connectSuccessful) { g_retryTimeout = 500; } console.log('socket close'); setTimeout(Start, g_retryTimeout); g_retryTimeout *= 2; } function MessageHandler(data) { Receive(new DataView(data.data)); } function Receive(data) { function __unmatched_190() { for (var string = '';;) { var char = data.getUint16(pos, true); pos += 2; if (0 == char) { break; } string += String.fromCharCode(char); } return string; } var pos = 0; if (240 == data.getUint8(pos)) { pos += 5; } switch (data.getUint8(pos++)) { case 16: ParseCellUpdates(data, pos); break; case 17: g_viewX_ = data.getFloat32(pos, true); pos += 4; g_viewY_ = data.getFloat32(pos, true); pos += 4; g_scale_ = data.getFloat32(pos, true); pos += 4; break; case 20: g_playerCells = []; g_playerCellIds = []; break; case 21: g_linesY_ = data.getInt16(pos, true); pos += 2; g_linesX_ = data.getInt16(pos, true); pos += 2; if (!g_ready) { g_ready = true; g_linesX = g_linesY_; g_linesY = g_linesX_; } break; case 32: g_playerCellIds.push(data.getUint32(pos, true)); pos += 4; break; case 49: if (null != g_scorePartitions) { break; } var num = data.getUint32(pos, true); var pos = pos + 4; g_scoreEntries = []; for (var i = 0; i < num; ++i) { var id = data.getUint32(pos, true); var pos = pos + 4; g_scoreEntries.push({ id: id, name: __unmatched_190() }); } UpdateLeaderboard(); break; case 50: g_scorePartitions = []; num = data.getUint32(pos, true); pos += 4; for (i = 0; i < num; ++i) { g_scorePartitions.push(data.getFloat32(pos, true)); pos += 4; } UpdateLeaderboard(); break; case 64: g_minX = data.getFloat64(pos, true); pos += 8; g_minY = data.getFloat64(pos, true); pos += 8; g_maxX = data.getFloat64(pos, true); pos += 8; g_maxY = data.getFloat64(pos, true); pos += 8; g_viewX_ = (g_maxX + g_minX) / 2; g_viewY_ = (g_maxY + g_minY) / 2; g_scale_ = 1; if (0 == g_playerCells.length) { g_viewX = g_viewX_; g_viewY = g_viewY_; g_scale = g_scale_; } break; case 81: var x = data.getUint32(pos, true); var pos = pos + 4; var __unmatched_196 = data.getUint32(pos, true); var pos = pos + 4; var __unmatched_197 = data.getUint32(pos, true); var pos = pos + 4; setTimeout(function() { __unmatched_43({ e: x, f: __unmatched_196, d: __unmatched_197 }); }, 1200); } } function ParseCellUpdates(data, pos) { function __unmatched_202() { for (var string = '';;) { var id = data.getUint16(pos, true); pos += 2; if (0 == id) { break; } string += String.fromCharCode(id); } return string; } function __unmatched_203() { for (var __unmatched_218 = '';;) { var r = data.getUint8(pos++); if (0 == r) { break; } __unmatched_218 += String.fromCharCode(r); } return __unmatched_218; } __unmatched_107 = g_time = Date.now(); if (!g_connectSuccessful) { g_connectSuccessful = true; __unmatched_24(); } __unmatched_88 = false; var num = data.getUint16(pos, true); pos += 2; for (var i = 0; i < num; ++i) { var cellA = g_cellsById[data.getUint32(pos, true)]; var cellB = g_cellsById[data.getUint32(pos + 4, true)]; pos += 8; if (cellA && cellB) { cellB.X(); cellB.s = cellB.x; cellB.t = cellB.y; cellB.r = cellB.size; cellB.J = cellA.x; cellB.K = cellA.y; cellB.q = cellB.size; cellB.Q = g_time; __unmatched_49(cellA, cellB); } } for (i = 0;;) { num = data.getUint32(pos, true); pos += 4; if (0 == num) { break; } ++i; var size; var cellA = data.getInt32(pos, true); pos += 4; cellB = data.getInt32(pos, true); pos += 4; size = data.getInt16(pos, true); pos += 2; var flags = data.getUint8(pos++); var y = data.getUint8(pos++); var b = data.getUint8(pos++); var y = __unmatched_40(flags << 16 | y << 8 | b); var b = data.getUint8(pos++); var isVirus = !!(b & 1); var isAgitated = !!(b & 16); var __unmatched_214 = null; if (b & 2) { pos += 4 + data.getUint32(pos, true); } if (b & 4) { __unmatched_214 = __unmatched_203(); } var name = __unmatched_202(); var flags = null; if (g_cellsById.hasOwnProperty(num)) { flags = g_cellsById[num]; flags.P(); flags.s = flags.x; flags.t = flags.y; flags.r = flags.size; flags.color = y; } else { flags = new Cell(num, cellA, cellB, size, y, name); g_cells.push(flags); g_cellsById[num] = flags; flags.ta = cellA; flags.ua = cellB; } flags.h = isVirus; flags.n = isAgitated; flags.J = cellA; flags.K = cellB; flags.q = size; flags.Q = g_time; flags.ba = b; flags.fa = __unmatched_214; if (name) { flags.B(name); } if (-1 != g_playerCellIds.indexOf(num) && -1 == g_playerCells.indexOf(flags)) { g_playerCells.push(flags); if (1 == g_playerCells.length) { g_viewX = flags.x; g_viewY = flags.y; __unmatched_136(); document.getElementById('overlays').style.display = 'none'; cached = []; __unmatched_139 = 0; __unmatched_140 = g_playerCells[0].color; __unmatched_142 = true; __unmatched_143 = Date.now(); g_mode = __unmatched_146 = __unmatched_145 = 0; } } } cellA = data.getUint32(pos, true); pos += 4; for (i = 0; i < cellA; i++) { num = data.getUint32(pos, true); pos += 4; flags = g_cellsById[num]; if (null != flags) { flags.X(); } } if (__unmatched_88 && 0 == g_playerCells.length) { __unmatched_144 = Date.now(); __unmatched_142 = false; if (!(g_playerCellDestroyed || __unmatched_141)) { if (__unmatched_148) { __unmatched_13(window.ab); ShowOverlay(); __unmatched_141 = true; $('#overlays').fadeIn(3000); $('#stats').show(); } else { __unmatched_10(3000); } } } } function __unmatched_24() { $('#connecting').hide(); SendNick(); if (__unmatched_121) { __unmatched_121(); __unmatched_121 = null; } if (null != __unmatched_123) { clearTimeout(__unmatched_123); } __unmatched_123 = setTimeout(function() { if (window.ga) { ++__unmatched_124; window.ga('set', 'dimension2', __unmatched_124); } }, 10000); } function SendPos() { if (IsConnected()) { var deltaY = g_mouseX - g_protocol / 2; var delta = g_mouseY - __unmatched_60 / 2; if (!(64 > deltaY * deltaY + delta * delta || 0.01 > Math.abs(g_lastMoveY - g_moveX) && 0.01 > Math.abs(g_lastMoveX - g_moveY))) { g_lastMoveY = g_moveX; g_lastMoveX = g_moveY; deltaY = GetBuffer(21); deltaY.setUint8(0, 16); deltaY.setFloat64(1, g_moveX, true); deltaY.setFloat64(9, g_moveY, true); deltaY.setUint32(17, 0, true); SendBuffer(deltaY); } } } function SendNick() { if (IsConnected() && g_connectSuccessful && null != g_nick) { var data = GetBuffer(1 + 2 * g_nick.length); data.setUint8(0, 0); for (var i = 0; i < g_nick.length; ++i) { data.setUint16(1 + 2 * i, g_nick.charCodeAt(i), true); } SendBuffer(data); g_nick = null; } } function IsConnected() { return null != points && points.readyState == points.OPEN; } function SendCmd(cmd) { if (IsConnected()) { var data = GetBuffer(1); data.setUint8(0, cmd); SendBuffer(data); } } function RefreshAds() { if (IsConnected() && null != __unmatched_108) { var __unmatched_226 = GetBuffer(1 + __unmatched_108.length); __unmatched_226.setUint8(0, 81); for (var y = 0; y < __unmatched_108.length; ++y) { __unmatched_226.setUint8(y + 1, __unmatched_108.charCodeAt(y)); } SendBuffer(__unmatched_226); } } function ResizeHandler() { g_protocol = window.innerWidth; __unmatched_60 = window.innerHeight; g_canvas_.width = g_canvas.width = g_protocol; g_canvas_.height = g_canvas.height = __unmatched_60; var $dialog = $('#helloContainer'); $dialog.css('transform', 'none'); var dialogHeight = $dialog.height(); var height = window.innerHeight; if (dialogHeight > height / 1.1) { $dialog.css('transform', 'translate(-50%, -50%) scale(' + height / dialogHeight / 1.1 + ')'); } else { $dialog.css('transform', 'translate(-50%, -50%)'); } GetScore(); } function ScaleModifier() { var scale; scale = 1 * Math.max(__unmatched_60 / 1080, g_protocol / 1920); return scale *= g_zoom; } function __unmatched_32() { if (0 != g_playerCells.length) { for (var scale = 0, i = 0; i < g_playerCells.length; i++) { scale += g_playerCells[i].size; } scale = Math.pow(Math.min(64 / scale, 1), 0.4) * ScaleModifier(); g_scale = (9 * g_scale + scale) / 10; } } function GetScore() { var x; var time = Date.now(); ++__unmatched_75; g_time = time; if (0 < g_playerCells.length) { __unmatched_32(); for (var y = x = 0, i = 0; i < g_playerCells.length; i++) { g_playerCells[i].P(); x += g_playerCells[i].x / g_playerCells.length; y += g_playerCells[i].y / g_playerCells.length; } g_viewX_ = x; g_viewY_ = y; g_scale_ = g_scale; g_viewX = (g_viewX + x) / 2; g_viewY = (g_viewY + y) / 2; } else { g_viewX = (29 * g_viewX + g_viewX_) / 30; g_viewY = (29 * g_viewY + g_viewY_) / 30; g_scale = (9 * g_scale + g_scale_ * ScaleModifier()) / 10; } UpdateTree(); UpdatePos(); if (!g_showTrails) { g_context.clearRect(0, 0, g_protocol, __unmatched_60); } if (g_showTrails) { g_context.fillStyle = g_showMass ? '#111111' : '#F2FBFF'; g_context.globalAlpha = 0.05; g_context.fillRect(0, 0, g_protocol, __unmatched_60); g_context.globalAlpha = 1; } else { DrawGrid(); } g_cells.sort(function(A, B) { return A.size == B.size ? A.id - B.id : A.size - B.size; }); g_context.save(); g_context.translate(g_protocol / 2, __unmatched_60 / 2); g_context.scale(g_scale, g_scale); g_context.translate(-g_viewX, -g_viewY); drawBorders(); drawLogo(); myMass = Math.min.apply(null, g_playerCells.map(function(r) { return r.N(); })) for (i = 0; i < g_destroyedCells.length; i++) { g_destroyedCells[i].w(g_context); } for (i = 0; i < g_cells.length; i++) { g_cells[i].w(g_context); } if (g_ready) { g_linesX = (3 * g_linesX + g_linesY_) / 4; g_linesY = (3 * g_linesY + g_linesX_) / 4; g_context.save(); g_context.strokeStyle = '#FFAAAA'; g_context.lineWidth = 10; g_context.lineCap = 'round'; g_context.lineJoin = 'round'; g_context.globalAlpha = 0.5; g_context.beginPath(); for (i = 0; i < g_playerCells.length; i++) { g_context.moveTo(g_playerCells[i].x, g_playerCells[i].y); g_context.lineTo(g_linesX, g_linesY); } g_context.stroke(); g_context.restore(); } g_context.restore(); if (g_leaderboardCanvas && g_leaderboardCanvas.width) { g_context.drawImage(g_leaderboardCanvas, g_protocol - g_leaderboardCanvas.width - 10, 10); } g_maxScore = Math.max(g_maxScore, __unmatched_36()); if (0 != g_maxScore) { if (null == g_cachedScore) { g_cachedScore = new CachedCanvas(24, '#FFFFFF'); } g_cachedScore.C(__unmatched_14('score') + ': ' + ~~(g_maxScore / 100)); y = g_cachedScore.L(); x = y.width; g_context.globalAlpha = 0.2; g_context.fillStyle = '#000000'; g_context.fillRect(10, __unmatched_60 - 10 - 24 - 10, x + 10, 34); g_context.globalAlpha = 1; g_context.drawImage(y, 15, __unmatched_60 - 10 - 24 - 5); } DrawSplitImage(); time = Date.now() - time; if (time > 1000 / 60) { g_pointNumScale -= 0.01; } else if (time < 1000 / 65) { g_pointNumScale += 0.01; } if (0.4 > g_pointNumScale) { g_pointNumScale = 0.4; } if (1 < g_pointNumScale) { g_pointNumScale = 1; } time = g_time - __unmatched_77; if (!IsConnected() || g_playerCellDestroyed || __unmatched_141) { qkeyDown += time / 2000; if (1 < qkeyDown) { qkeyDown = 1; } } else { qkeyDown -= time / 300; if (0 > qkeyDown) { qkeyDown = 0; } } if (0 < qkeyDown) { g_context.fillStyle = '#000000'; g_context.globalAlpha = 0.5 * qkeyDown; g_context.fillRect(0, 0, g_protocol, __unmatched_60); g_context.globalAlpha = 1; } __unmatched_77 = g_time; } function DrawGrid() { g_context.fillStyle = g_showMass ? '#111111' : '#F2FBFF'; g_context.fillRect(0, 0, g_protocol, __unmatched_60); g_context.save(); g_context.strokeStyle = g_showMass ? '#AAAAAA' : '#000000'; g_context.globalAlpha = 0.2 * g_scale; for (var width = g_protocol / g_scale, height = __unmatched_60 / g_scale, g_width = (-g_viewX + width / 2) % 50; g_width < width; g_width += 50) { g_context.beginPath(); g_context.moveTo(g_width * g_scale - 0.5, 0); g_context.lineTo(g_width * g_scale - 0.5, height * g_scale); g_context.stroke(); } for (g_width = (-g_viewY + height / 2) % 50; g_width < height; g_width += 50) { g_context.beginPath(); g_context.moveTo(0, g_width * g_scale - 0.5); g_context.lineTo(width * g_scale, g_width * g_scale - 0.5); g_context.stroke(); } g_context.restore(); } function DrawSplitImage() { if (g_touchCapable && g_splitImage.width) { var size = g_protocol / 5; g_context.drawImage(g_splitImage, 5, 5, size, size); } } function __unmatched_36() { for (var score = 0, i = 0; i < g_playerCells.length; i++) { score += g_playerCells[i].q * g_playerCells[i].q; } return score; } function UpdateLeaderboard() { g_leaderboardCanvas = null; if (null != g_scorePartitions || 0 != g_scoreEntries.length) { if (null != g_scorePartitions || g_showNames) { g_leaderboardCanvas = document.createElement('canvas'); var context = g_leaderboardCanvas.getContext('2d'); var height = 60; var height = null == g_scorePartitions ? height + 24 * g_scoreEntries.length : height + 180; var scale = Math.min(200, 0.3 * g_protocol) / 200; g_leaderboardCanvas.width = 200 * scale; g_leaderboardCanvas.height = height * scale; context.scale(scale, scale); context.globalAlpha = 0.4; context.fillStyle = '#000000'; context.fillRect(0, 0, 200, height); context.globalAlpha = 1; context.fillStyle = '#FFFFFF'; scale = null; scale = __unmatched_14('leaderboard'); context.font = '30px Ubuntu'; context.fillText(scale, 100 - context.measureText(scale).width / 2, 40); if (null == g_scorePartitions) { for (context.font = '20px Ubuntu', height = 0; height < g_scoreEntries.length; ++height) { scale = g_scoreEntries[height].name || __unmatched_14('unnamed_cell'); if (!g_showNames) { scale = __unmatched_14('unnamed_cell'); } if (-1 != g_playerCellIds.indexOf(g_scoreEntries[height].id)) { if (g_playerCells[0].name) { scale = g_playerCells[0].name; } context.fillStyle = '#FFAAAA'; } else { context.fillStyle = '#FFFFFF'; } scale = height + 1 + '. ' + scale; context.fillText(scale, 100 - context.measureText(scale).width / 2, 70 + 24 * height); } } else { for (height = scale = 0; height < g_scorePartitions.length; ++height) { var end = scale + g_scorePartitions[height] * Math.PI * 2; context.fillStyle = g_teamColors[height + 1]; context.beginPath(); context.moveTo(100, 140); context.arc(100, 140, 80, scale, end, false); context.fill(); scale = end; } } } } } function __unmatched_38(__unmatched_250, __unmatched_251, __unmatched_252, __unmatched_253, __unmatched_254) { this.V = __unmatched_250; this.x = __unmatched_251; this.y = __unmatched_252; this.i = __unmatched_253; this.b = __unmatched_254; } function Cell(id, x, y, size, color, name) { this.id = id; this.s = this.x = x; this.t = this.y = y; this.r = this.size = size; this.color = color; this.a = []; this.W(); this.B(name); } function __unmatched_40(__unmatched_261) { for (__unmatched_261 = __unmatched_261.toString(16); 6 > __unmatched_261.length;) { __unmatched_261 = '0' + __unmatched_261; } return '#' + __unmatched_261; } function drawBorders() { g_context.save() g_context.beginPath(); g_context.lineWidth = 1; g_context.strokeStyle = "#F87B32"; g_context.moveTo(getMapStartX(), getMapStartY()); g_context.lineTo(getMapStartX(), getMapEndY()); g_context.stroke(); g_context.moveTo(getMapStartX(), getMapStartY()); g_context.lineTo(getMapEndX(), getMapStartY()); g_context.stroke(); g_context.moveTo(getMapEndX(), getMapStartY()); g_context.lineTo(getMapEndX(), getMapEndY()); g_context.stroke(); g_context.moveTo(getMapStartX(), getMapEndY()); g_context.lineTo(getMapEndX(), getMapEndY()); g_context.stroke(); g_context.restore(); } function drawLogo(){ var logoimage = new Image(); logoimage.src = "img/split.png"; var width = this.j / 2; var dim = width / 2; g_context.save(); g_context.beginPath(); g_context.strokeStyle = "#F87B32"; g_context.moveTo(getMapStartX()/2, getMapStartX()/2); g_context.lineTo(getMapStartX()/2, getMapStartX()/2); g_context.stroke(); g_context.restore(); } function CachedCanvas(size, color, stroke, strokeColor) { if (size) { this.u = size; } if (color) { this.S = color; } this.U = !!stroke; if (strokeColor) { this.v = strokeColor; } } function __unmatched_42(__unmatched_266) { for (var size_ = __unmatched_266.length, __unmatched_268, __unmatched_269; 0 < size_;) { __unmatched_269 = Math.floor(Math.random() * size_); size_--; __unmatched_268 = __unmatched_266[size_]; __unmatched_266[size_] = __unmatched_266[__unmatched_269]; __unmatched_266[__unmatched_269] = __unmatched_268; } } function __unmatched_43(g_socket, __unmatched_271) { var noClip = '1' == $('#helloContainer').attr('data-has-account-data'); $('#helloContainer').attr('data-has-account-data', '1'); if (null == __unmatched_271 && window.localStorage.loginCache) { var rand = JSON.parse(window.localStorage.loginCache); rand.f = g_socket.f; rand.d = g_socket.d; rand.e = g_socket.e; window.localStorage.loginCache = JSON.stringify(rand); } if (noClip) { var __unmatched_274 = +$('.agario-exp-bar .progress-bar-text').first().text().split('/')[0]; var noClip = +$('.agario-exp-bar .progress-bar-text').first().text().split('/')[1].split(' ')[0]; var rand = $('.agario-profile-panel .progress-bar-star').first().text(); if (rand != g_socket.e) { __unmatched_43({ f: noClip, d: noClip, e: rand }, function() { $('.agario-profile-panel .progress-bar-star').text(g_socket.e); $('.agario-exp-bar .progress-bar').css('width', '100%'); $('.progress-bar-star').addClass('animated tada').one('webkitAnimationEnd mozAnimationEnd MSAnimationEnd oanimationend animationend', function() { $('.progress-bar-star').removeClass('animated tada'); }); setTimeout(function() { $('.agario-exp-bar .progress-bar-text').text(g_socket.d + '/' + g_socket.d + ' XP'); __unmatched_43({ f: 0, d: g_socket.d, e: g_socket.e }, function() { __unmatched_43(g_socket, __unmatched_271); }); }, 1000); }); } else { var __unmatched_275 = Date.now(); var name = function() { var deltaX; deltaX = (Date.now() - __unmatched_275) / 1000; deltaX = 0 > deltaX ? 0 : 1 < deltaX ? 1 : deltaX; deltaX = deltaX * deltaX * (3 - 2 * deltaX); $('.agario-exp-bar .progress-bar-text').text(~~(__unmatched_274 + (g_socket.f - __unmatched_274) * deltaX) + '/' + g_socket.d + ' XP'); $('.agario-exp-bar .progress-bar').css('width', (88 * (__unmatched_274 + (g_socket.f - __unmatched_274) * deltaX) / g_socket.d).toFixed(2) + '%'); if (1 > deltaX) { window.requestAnimationFrame(name); } else if (__unmatched_271) { __unmatched_271(); } }; window.requestAnimationFrame(name); } } else { $('.agario-profile-panel .progress-bar-star').text(g_socket.e); $('.agario-exp-bar .progress-bar-text').text(g_socket.f + '/' + g_socket.d + ' XP'); $('.agario-exp-bar .progress-bar').css('width', (88 * g_socket.f / g_socket.d).toFixed(2) + '%'); if (__unmatched_271) { __unmatched_271(); } } } function __unmatched_44(__unmatched_278) { if ('string' == typeof __unmatched_278) { __unmatched_278 = JSON.parse(__unmatched_278); } if (Date.now() + 1800000 > __unmatched_278.ka) { $('#helloContainer').attr('data-logged-in', '0'); } else { window.localStorage.loginCache = JSON.stringify(__unmatched_278); __unmatched_108 = __unmatched_278.ha; $('.agario-profile-name').text(__unmatched_278.name); RefreshAds(); __unmatched_43({ f: __unmatched_278.f, d: __unmatched_278.d, e: __unmatched_278.e }); $('#helloContainer').attr('data-logged-in', '1'); } } function __unmatched_45(data) { data = data.split('\n'); __unmatched_44({ name: data[0], sa: data[1], ha: data[2], ka: 1000 * +data[3], e: +data[4], f: +data[5], d: +data[6] }); } function UpdateScale(__unmatched_280) { if ('connected' == __unmatched_280.status) { var x = __unmatched_280.authResponse.accessToken; window.FB.api('/me/picture?width=180&height=180', function(__unmatched_282) { window.localStorage.fbPictureCache = __unmatched_282.data.url; $('.agario-profile-picture').attr('src', __unmatched_282.data.url); }); $('#helloContainer').attr('data-logged-in', '1'); if (null != __unmatched_108) { $.ajax('https://m.agar.io/checkToken', { error: function() { __unmatched_108 = null; UpdateScale(__unmatched_280); }, success: function(__unmatched_283) { __unmatched_283 = __unmatched_283.split('\n'); __unmatched_43({ e: +__unmatched_283[0], f: +__unmatched_283[1], d: +__unmatched_283[2] }); }, dataType: 'text', method: 'POST', cache: false, crossDomain: true, data: __unmatched_108 }); } else { $.ajax('https://m.agar.io/facebookLogin', { error: function() { __unmatched_108 = null; $('#helloContainer').attr('data-logged-in', '0'); }, success: __unmatched_45, dataType: 'text', method: 'POST', cache: false, crossDomain: true, data: x }); } } } function RenderLoop(x) { Render(':party'); $('#helloContainer').attr('data-party-state', '4'); x = decodeURIComponent(x).replace(/.*#/gim, ''); __unmatched_48('#' + window.encodeURIComponent(x)); $.ajax('https://m.agar.io/getToken', { error: function() { $('#helloContainer').attr('data-party-state', '6'); }, success: function(quick) { quick = quick.split('\n'); $('.partyToken').val('agar.io/#' + window.encodeURIComponent(x)); $('#helloContainer').attr('data-party-state', '5'); Render(':party'); Connect('ws://' + quick[0], x); }, dataType: 'text', method: 'POST', cache: false, crossDomain: true, data: x }); } function __unmatched_48(__unmatched_286) { if (window.history && window.history.replaceState) { window.history.replaceState({}, window.document.title, __unmatched_286); } } function __unmatched_49(__unmatched_287, __unmatched_288) { var playerOwned = -1 != g_playerCellIds.indexOf(__unmatched_287.id); var __unmatched_290 = -1 != g_playerCellIds.indexOf(__unmatched_288.id); var __unmatched_291 = 30 > __unmatched_288.size; if (playerOwned && __unmatched_291) { ++__unmatched_139; } if (!(__unmatched_291 || !playerOwned || __unmatched_290)) { ++__unmatched_146; } } function __unmatched_50(__unmatched_292) { __unmatched_292 = ~~__unmatched_292; var color = (__unmatched_292 % 60).toString(); __unmatched_292 = (~~(__unmatched_292 / 60)).toString(); if (2 > color.length) { color = '0' + color; } return __unmatched_292 + ':' + color; } function __unmatched_51() { if (null == g_scoreEntries) { return 0; } for (var i = 0; i < g_scoreEntries.length; ++i) { if (-1 != g_playerCellIds.indexOf(g_scoreEntries[i].id)) { return i + 1; } } return 0; } function ShowOverlay() { $('.stats-food-eaten').text(__unmatched_139); $('.stats-time-alive').text(__unmatched_50((__unmatched_144 - __unmatched_143) / 1000)); $('.stats-leaderboard-time').text(__unmatched_50(__unmatched_145)); $('.stats-highest-mass').text(~~(g_maxScore / 100)); $('.stats-cells-eaten').text(__unmatched_146); $('.stats-top-position').text(0 == g_mode ? ':(' : g_mode); var g_height = document.getElementById('statsGraph'); if (g_height) { var pointsAcc = g_height.getContext('2d'); var scale = g_height.width; var g_height = g_height.height; pointsAcc.clearRect(0, 0, scale, g_height); if (2 < cached.length) { for (var __unmatched_298 = 200, i = 0; i < cached.length; i++) { __unmatched_298 = Math.max(cached[i], __unmatched_298); } pointsAcc.lineWidth = 3; pointsAcc.lineCap = 'round'; pointsAcc.lineJoin = 'round'; pointsAcc.strokeStyle = __unmatched_140; pointsAcc.fillStyle = __unmatched_140; pointsAcc.beginPath(); pointsAcc.moveTo(0, g_height - cached[0] / __unmatched_298 * (g_height - 10) + 10); for (i = 1; i < cached.length; i += Math.max(~~(cached.length / scale), 1)) { for (var __unmatched_300 = i / (cached.length - 1) * scale, __unmatched_301 = [], __unmatched_302 = -20; 20 >= __unmatched_302; ++__unmatched_302) { if (!(0 > i + __unmatched_302 || i + __unmatched_302 >= cached.length)) { __unmatched_301.push(cached[i + __unmatched_302]); 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} setTimeout(function() { window.location.href = 'https://itunes.apple.com/app/agar.io/id995999703?mt=8&at=1l3vajp'; }, 1000); } else { var g_canvas_; var g_context; var g_canvas; var g_protocol; var __unmatched_60; var g_pointTree = null; var points = null; var g_viewX = 0; var g_viewY = 0; var g_playerCellIds = []; var g_playerCells = []; var g_cellsById = {}; var g_cells = []; var g_destroyedCells = []; var g_scoreEntries = []; var g_mouseX = 0; var g_mouseY = 0; var g_moveX = -1; var g_moveY = -1; var __unmatched_75 = 0; var g_time = 0; var __unmatched_77 = 0; var g_nick = null; var g_minX = 0; var g_minY = 0; var g_maxX = 10000; var g_maxY = 10000; var g_scale = 1; var g_region = null; var g_showSkins = true; var g_showNames = true; var g_noColors = false; var __unmatched_88 = false; var g_maxScore = 0; var g_showMass = false; var g_darkTheme = true; var g_viewX_ = g_viewX = ~~((g_minX + g_maxX) / 2); var g_viewY_ = g_viewY = ~~((g_minY + g_maxY) / 2); var g_scale_ = 1; var __unmatched_95 = ''; 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NaiyangGuan / Truncated Cauchy Non Negative Matrix FactorizationNon-negative matrix factorization (NMF) minimizes the euclidean distance between the data matrix and its low rank approximation, and it fails when applied to corrupted data because the loss function is sensitive to outliers. In this paper, we propose a Truncated CauchyNMF loss that handle outliers by truncating large errors, and develop a Truncated CauchyNMF to robustly learn the subspace on noisy datasets contaminated by outliers. We theoretically analyze the robustness of Truncated CauchyNMF comparing with the competing models and theoretically prove that Truncated CauchyNMF has a generalization bound which converges at a rate of order O(lnn/n‾‾‾‾‾√) , where n is the sample size. We evaluate Truncated CauchyNMF by image clustering on both simulated and real datasets. The experimental results on the datasets containing gross corruptions validate the effectiveness and robustness of Truncated CauchyNMF for learning robust subspaces.
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mitulmanish / Java AssignmentsYou are required to implement a basic Java program using Java (SE 5.0 or later). This assignment is designed to help you: 1. Practise your knowledge of class design in Java; 2. Practise the implementation of different kinds of OO constructs in Java; 3. Practise the use of polymorphism; 4. Practise error handling in Java; 5. Develop a reasonable sized application in Java. General Implementation Details All input data should be read from the standard input and all output data should be printed to the standard output. Do not use files at all. If the input is formatted incorrectly, that input should be ignored and an appropriate error message should be displayed. Marks will be allocated to your class design. You are required to modularise classes properly---i.e., to use multiple methods as appropriate. No method should be longer than 50 lines. Marks will be allocated to proper documentation and coding layout and style. Your coding style should be consistent with standard coding conventions . Overall Specification You will build out the system from Assignment 1 to manage multiple users purchasing different types of items, including discounts for multiple items. Items to be Purchased The TechStore has been extended to sell Software as well as Books. Like Books, Software can be sold as a (physical) CD or as an online item (i.e., download). As in Assignment 1, a Book can also be sold as a physical copy or as an ebook. You need to keep track of the physical copies of Books and CDs, and whether or not a title is available as an online item. Books have a title and an author; Software items have a title and a publisher. Each item is individually priced---i.e., the price depends on the title and whether it is a physical copy or ebook/software-download. Purchasing Items A User can buy any number of items (books, software, or a mix), adding one item at a time to their Shopping Cart. However, a User can only purchase up to a total of $100, unless they are a Member—if a non-Member User tries to add an item to their Shopping Cart that takes the total over their maximum then this is blocked. A Member has no limit. Items can be added and removed from a Shopping Cart until Checkout. When an Item is added to the Shopping Cart, the system checks that there are enough copies of it available; if an Item is added or removed from the Shopping Cart, the number of copies available must be updated. Checkout clears the Shopping Cart. Users Users can add Items to their Cart, up to their allowed limit (i.e., their Shopping Cart cannot store a total greater than the limit). A User has an id (must be unique) and password (you do NOT need to make these encrypted or secure), as well as a name and email address. A Member is a special kind of user: a Member has no limit on value they can store in their Cart. Once a User has spent a total of 10% more than their limit in total (this obviously must be over multiple Checkouts), then they are offered to become a Member—this offer is made straight after they Checkout with the items that takes them to 10% over their limit. An Administrator is a User that can perform special functions: add to the number of copies of a (physical) Book or Software CD; change the price of an item; print sales statistics: i.e., number of sales (physical and electronic) of each Item; add a new user—the system must checked that the new id is unique. Other Users do not have these options on their menu. A user must keep track of their previous purchases, grouped by Transaction—a Transaction is the set of items purchased at Checkout time. Users can log in and out—they do not need to Checkout before logging out. However, only one user can be logged in at a time—the system must allow something like “change user”. If a User logs back in, their Shopping Cart holds the same contents as before they logged out. Recommended Items and Discounts Each item can store a list of “if you liked this” recommendations. If a User adds an Item to their Shopping Cart, then the system suggests other titles they may like. Only similar types of things are recommended—i.e., when a Book is added, other Books (not Software) are suggested. At the time when a list of Recommended titles is given, the user has the option to add one of the recommended titles to their Shopping Cart. If a user adds the title, then they receive a discount of 15% off that second title (the first one is still full price); the User can add multiple recommended titles for 15% off each of them. If a Member adds the recommended title, then they get 25% discount off all the recommendations added. Note: when a recommended title is added, its recommendations are also shown, and are discounted if purchased at that time. You are NOT required to handle the special case of updating discounts when a User removes recommendations from their Cart. However, there is a Bonus Mark for this. Sample menus The menu for a standard User (i.e., a Shopper) should include the following options: 1. Add item to shopping cart 2. View shopping cart 3. Remove item from shopping cart 4. Checkout 5. List all items 6. Print previous purchases 7. Logout (change user) 0. Quit The menu for an Administrator should include the following options: 1. List all items (this option can include purchase statistics for each title) 2. Add copies to item 3. Change price of item 4. Add new user 5. Logout (change user) 0. Quit * SAMPLE RUNS and TEST DATA will be posted to Blackboard * Program Development When implementing large programs, especially using object-oriented style, it is highly recommended that you build your program incrementally. This assignment proposes a specific incremental implementation process: this is designed to both help you think about building large programs, and to help ensure good progress! You are not strictly required to follow the structure below, but it will help you manage complexity. Part A (2 marks): Extend Assignment 1 Start by extending your Assignment 1 solution (a sample solution will be made available): 1. Rename your main class to TechStore if necessary; 2. Extend your Book class (if necessary) to contain all data and operations it needs for Assignment 2, and appropriate classes for other types of Items to be sold; 3. Define Exceptions to handle problems/errors; in particular, you must handle invalid menu options or inputs. Part B (1 marks): Class Design Define all the classes and any interfaces needed for the described system. In particular, you should try to encapsulate all the appropriate data and operations that a class needs. This may mean some classes refer to each other (e.g., the way Account refers to Customer). At this point, you may just want to think about the data and operations and just write the definitions, not all the code. Part C (3 marks): Main Program Your main program should be in the TechStore class. (Of course, any class can contain a main(); this is useful for testing that class.) The main program will contain a menu that offers all the required options (these can be different for different Users!). The system will allow a User to login by typing their id and password and will check that these match: if it does not then the menu prints an error; if they do match, then the system prints a welcome message with the user’s name and shows them the appropriate menu. The system must keep a list of all its Users: this list must be efficient to look-up by User id. Week 7 Demo (2 marks): You will be required to demonstrate your main program and design (with only bare functionality) by Week 7 at the latest. You must also submit to the associated WebLearn project by the Week 7 lecture. Part D (4 marks): Implement Core Functionality Implement the core functionality of the TechStore system described above, except for the recommendations, members, and discounts. You should be able to implement the rest of the TechStore functionality described above, and run and test your system. Part E (4 marks): Implement Recommendations , Members, Discounts Implement the functionality of providing recommendations, users becoming and being members, and discounts. Other (4 marks) As always, marks will be awarded for coding style, documentation/comments, code layout and clarity, meaningful error and other messages, proper error handling, choice of data structures and other design decisions. You are encouraged to discuss such issues with your tutors and lab assistants, or with the coding mentors. Bonus (2 marks) Note: There will be no hints or help offered on Bonus tasks. 1 bonus mark for early demonstration of Parts A,B,C in Week 6 1 bonus mark for correctly handling removal of recommended books from Cart—e.g., if a Member removes the first item then the 15/25% should be added back to the price of the recommended title, unless there are multiple recommendations linked to that title. Submission Instructions Full assignment submission will be via Weblearn, by 9AM, Tues April 28, 2015. You can submit your assignment as many times as you want before the due date. Each submission will overwrite any previous submissions. 1. You need to submit a class diagram (in pdf, gif or jpeg format). 2. You are required to submit your .java files weekly via Weblearn. Your progress will be taken into consideration if you need an extension. 3. There will be a separate WebLearn submission for Part A,B,C—you must submit to this before the Week 7 lecture to qualify for the 2 marks for Week 7 demo. 4. You must include a README file. This should describe how to run your program, what extra functionality you implemented, any standard functionality you know does not work, and any problems or assumptions. If the tutors have any problem running your program and the README does not help then you will lose marks. 5. For the code submission, you must include only the source files in your submission (do not submit any *.class files!). As always, your code must run on CSIT machines. 6. You must submit a single ZIP file—use zip/WinZIP to zip your files before submitting---do NOT submit rar or zipx files!! 7. If you use packages, it is your responsibility that these unpack properly into the correct folders and that your program compiles correctly.
ckotzbauer / Lodash LoaderCherry-picks Lodash functions and require them explicitly to reduce the webpack bundle size.
arjunrajlaboratory / DeepTileLarge image tiling and stitching library for scaling Python functions to arbitrary input image sizes.
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shilpakancharla / Event Based Velocity Prediction SnnNeuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit of using SNNs and neuromorphic technology is the ability to optimize the size, weight, and power consumed in a system. SNNs can be trained and employed in various robotic and computer vision applications; we attempt to use event-based to create a novel approach in order to the predict velocity of objects moving in frame. Data generated in this work is recorded and simulated as event camera data using ESIM. Vicon motion tracking data provides the ground truth position and time values, from which the velocity is calculated. The SNNs developed in this work regress the velocity vector, consisting of the x, y, and z-components, while using the event data, or the list of events associated with each velocity measurement, as the input features. With the use of the novel dataset created, three SNN models were trained and then the model that minimized the loss function the most was further validated by omitting a subset of data used in the original training. The average loss, in terms of RMSE, on the test set after using the trained model on the omitted subset of data was 0.000386. Through this work, it is shown that it is possible to train an SNN on event data in order to predict the velocity of an object in view. (Spring 2022 MS Computer Science Thesis - North Carolina State University)
srivarsha04 / File Size Using Stat FunctionNo description available
ManZzup / PhpfsplitA php function to split a given file to parts based on the specified buffer size
