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Planting The Flags
Starting December 28th, the Superform Protocol will be deployed on Avalanche, BNB Chain, and Polygon. Deposits will be made into 3 vaults on each chain for a total of 9 vaults. Deposits will be made into 3 vaults daily in tranches of $2.5k at 15:00 UTC until all deposits have been made.
The goal is to steal the ERC4626 shares held in Superform Protocol’s Superform contracts and tokens in transit from chain to chain. If stolen, the security researcher can keep the bounty in the vault. Users may do this via any protocol action — creating new Superforms, depositing/withdrawing from the protocol into vaults themselves via our contracts, etc. here is the ERC4626Form.sol // SPDX-License-Identifier: BUSL-1.1
pragma solidity ^0.8.23;
import { ERC4626FormImplementation } from "src/forms/ERC4626FormImplementation.sol";
import { BaseForm } from "src/BaseForm.sol";
import { InitSingleVaultData } from "src/types/DataTypes.sol";
/// @title ERC4626Form
/// @dev The Form implementation for normal ERC4626 vaults
/// @author Zeropoint Labs
contract ERC4626Form is ERC4626FormImplementation {
//////////////////////////////////////////////////////////////
// CONSTANTS //
//////////////////////////////////////////////////////////////
uint8 constant stateRegistryId = 1; // CoreStateRegistry
//////////////////////////////////////////////////////////////
// CONSTRUCTOR //
//////////////////////////////////////////////////////////////
constructor(address superRegistry_) ERC4626FormImplementation(superRegistry_, stateRegistryId) { }
//////////////////////////////////////////////////////////////
// INTERNAL FUNCTIONS //
//////////////////////////////////////////////////////////////
/// @inheritdoc BaseForm
function _directDepositIntoVault(
InitSingleVaultData memory singleVaultData_,
address /*srcSender_*/
)
internal
override
returns (uint256 shares)
{
shares = _processDirectDeposit(singleVaultData_);
}
/// @inheritdoc BaseForm
function _xChainDepositIntoVault(
InitSingleVaultData memory singleVaultData_,
address, /*srcSender_*/
uint64 srcChainId_
)
internal
override
returns (uint256 shares)
{
shares = _processXChainDeposit(singleVaultData_, srcChainId_);
}
/// @inheritdoc BaseForm
function _directWithdrawFromVault(
InitSingleVaultData memory singleVaultData_,
address /*srcSender_*/
)
internal
override
returns (uint256 assets)
{
assets = _processDirectWithdraw(singleVaultData_);
}
/// @inheritdoc BaseForm
function _xChainWithdrawFromVault(
InitSingleVaultData memory singleVaultData_,
address, /*srcSender_*/
uint64 srcChainId_
)
internal
override
returns (uint256 assets)
{
assets = _processXChainWithdraw(singleVaultData_, srcChainId_);
}
/// @inheritdoc BaseForm
function _emergencyWithdraw(address receiverAddress_, uint256 amount_) internal override {
_processEmergencyWithdraw(receiverAddress_, amount_);
}
/// @inheritdoc BaseForm
function _forwardDustToPaymaster(address token_) internal override {
_processForwardDustToPaymaster(token_);
}
} and her is the ERC4626FormImplementation.sol // SPDX-License-Identifier: BUSL-1.1
pragma solidity ^0.8.23;
import { BaseForm } from "src/BaseForm.sol";
import { LiquidityHandler } from "src/crosschain-liquidity/LiquidityHandler.sol";
import { IBridgeValidator } from "src/interfaces/IBridgeValidator.sol";
import { Error } from "src/libraries/Error.sol";
import { DataLib } from "src/libraries/DataLib.sol";
import { InitSingleVaultData } from "src/types/DataTypes.sol";
import { IERC20 } from "openzeppelin-contracts/contracts/interfaces/IERC20.sol";
import { IERC20Metadata } from "openzeppelin-contracts/contracts/token/ERC20/extensions/IERC20Metadata.sol";
import { SafeERC20 } from "openzeppelin-contracts/contracts/token/ERC20/utils/SafeERC20.sol";
import { IERC4626 } from "openzeppelin-contracts/contracts/interfaces/IERC4626.sol";
/// @title ERC4626FormImplementation
/// @dev Has common ERC4626 internal functions that can be re-used by implementations
/// @author Zeropoint Labs
abstract contract ERC4626FormImplementation is BaseForm, LiquidityHandler {
using SafeERC20 for IERC20;
using SafeERC20 for IERC4626;
using DataLib for uint256;
//////////////////////////////////////////////////////////////
// CONSTANTS //
//////////////////////////////////////////////////////////////
uint8 internal immutable STATE_REGISTRY_ID;
uint256 internal constant ENTIRE_SLIPPAGE = 10_000;
//////////////////////////////////////////////////////////////
// STRUCTS //
//////////////////////////////////////////////////////////////
struct DirectDepositLocalVars {
uint64 chainId;
address asset;
address bridgeValidator;
uint256 shares;
uint256 balanceBefore;
uint256 assetDifference;
uint256 nonce;
uint256 deadline;
uint256 inputAmount;
bytes signature;
}
struct DirectWithdrawLocalVars {
uint64 chainId;
address asset;
address bridgeValidator;
uint256 amount;
}
struct XChainWithdrawLocalVars {
uint64 dstChainId;
address asset;
address bridgeValidator;
uint256 balanceBefore;
uint256 balanceAfter;
uint256 amount;
}
//////////////////////////////////////////////////////////////
// CONSTRUCTOR //
//////////////////////////////////////////////////////////////
constructor(address superRegistry_, uint8 stateRegistryId_) BaseForm(superRegistry_) {
/// @dev check if state registry id is valid
superRegistry.getStateRegistry(stateRegistryId_);
STATE_REGISTRY_ID = stateRegistryId_;
}
//////////////////////////////////////////////////////////////
// EXTERNAL VIEW FUNCTIONS //
//////////////////////////////////////////////////////////////
/// @inheritdoc BaseForm
function getVaultName() public view virtual override returns (string memory) {
return IERC4626(vault).name();
}
/// @inheritdoc BaseForm
function getVaultSymbol() public view virtual override returns (string memory) {
return IERC4626(vault).symbol();
}
/// @inheritdoc BaseForm
function getVaultDecimals() public view virtual override returns (uint256) {
return uint256(IERC4626(vault).decimals());
}
/// @inheritdoc BaseForm
function getPricePerVaultShare() public view virtual override returns (uint256) {
uint256 vaultDecimals = IERC4626(vault).decimals();
return IERC4626(vault).convertToAssets(10 ** vaultDecimals);
}
/// @inheritdoc BaseForm
function getVaultShareBalance() public view virtual override returns (uint256) {
return IERC4626(vault).balanceOf(address(this));
}
/// @inheritdoc BaseForm
function getTotalAssets() public view virtual override returns (uint256) {
return IERC4626(vault).totalAssets();
}
/// @inheritdoc BaseForm
function getTotalSupply() public view virtual override returns (uint256) {
return IERC4626(vault).totalSupply();
}
/// @inheritdoc BaseForm
function getPreviewPricePerVaultShare() public view virtual override returns (uint256) {
uint256 vaultDecimals = IERC4626(vault).decimals();
return IERC4626(vault).previewRedeem(10 ** vaultDecimals);
}
/// @inheritdoc BaseForm
function previewDepositTo(uint256 assets_) public view virtual override returns (uint256) {
return IERC4626(vault).convertToShares(assets_);
}
/// @inheritdoc BaseForm
function previewWithdrawFrom(uint256 assets_) public view virtual override returns (uint256) {
return IERC4626(vault).previewWithdraw(assets_);
}
/// @inheritdoc BaseForm
function previewRedeemFrom(uint256 shares_) public view virtual override returns (uint256) {
return IERC4626(vault).previewRedeem(shares_);
}
/// @inheritdoc BaseForm
function superformYieldTokenName() external view virtual override returns (string memory) {
return string(abi.encodePacked("Superform ", IERC20Metadata(vault).name()));
}
/// @inheritdoc BaseForm
function superformYieldTokenSymbol() external view virtual override returns (string memory) {
return string(abi.encodePacked("SUP-", IERC20Metadata(vault).symbol()));
}
/// @inheritdoc BaseForm
function getStateRegistryId() external view override returns (uint8) {
return STATE_REGISTRY_ID;
}
//////////////////////////////////////////////////////////////
// INTERNAL FUNCTIONS //
//////////////////////////////////////////////////////////////
function _processDirectDeposit(InitSingleVaultData memory singleVaultData_) internal returns (uint256 shares) {
DirectDepositLocalVars memory vars;
IERC4626 v = IERC4626(vault);
vars.asset = address(asset);
vars.balanceBefore = IERC20(vars.asset).balanceOf(address(this));
IERC20 token = IERC20(singleVaultData_.liqData.token);
if (address(token) != NATIVE && singleVaultData_.liqData.txData.length == 0) {
/// @dev this is only valid if token == asset (no txData)
if (singleVaultData_.liqData.token != vars.asset) revert Error.DIFFERENT_TOKENS();
/// @dev handles the asset token transfers.
if (token.allowance(msg.sender, address(this)) < singleVaultData_.amount) {
revert Error.INSUFFICIENT_ALLOWANCE_FOR_DEPOSIT();
}
/// @dev transfers input token, which is the same as vault asset, to the form
token.safeTransferFrom(msg.sender, address(this), singleVaultData_.amount);
}
/// @dev non empty txData means there is a swap needed before depositing (input asset not the same as vault
/// asset)
if (singleVaultData_.liqData.txData.length != 0) {
vars.bridgeValidator = superRegistry.getBridgeValidator(singleVaultData_.liqData.bridgeId);
vars.chainId = CHAIN_ID;
vars.inputAmount =
IBridgeValidator(vars.bridgeValidator).decodeAmountIn(singleVaultData_.liqData.txData, false);
if (address(token) != NATIVE) {
/// @dev checks the allowance before transfer from router
if (token.allowance(msg.sender, address(this)) < vars.inputAmount) {
revert Error.INSUFFICIENT_ALLOWANCE_FOR_DEPOSIT();
}
/// @dev transfers input token, which is different from the vault asset, to the form
token.safeTransferFrom(msg.sender, address(this), vars.inputAmount);
}
IBridgeValidator(vars.bridgeValidator).validateTxData(
IBridgeValidator.ValidateTxDataArgs(
singleVaultData_.liqData.txData,
vars.chainId,
vars.chainId,
vars.chainId,
true,
address(this),
msg.sender,
address(token),
address(0)
)
);
_dispatchTokens(
superRegistry.getBridgeAddress(singleVaultData_.liqData.bridgeId),
singleVaultData_.liqData.txData,
address(token),
vars.inputAmount,
singleVaultData_.liqData.nativeAmount
);
if (
IBridgeValidator(vars.bridgeValidator).decodeSwapOutputToken(singleVaultData_.liqData.txData)
!= vars.asset
) {
revert Error.DIFFERENT_TOKENS();
}
}
vars.assetDifference = IERC20(vars.asset).balanceOf(address(this)) - vars.balanceBefore;
/// @dev the difference in vault tokens, ready to be deposited, is compared with the amount inscribed in the
/// superform data
if (
vars.assetDifference * ENTIRE_SLIPPAGE
< singleVaultData_.amount * (ENTIRE_SLIPPAGE - singleVaultData_.maxSlippage)
) {
revert Error.DIRECT_DEPOSIT_SWAP_FAILED();
}
/// @dev notice that vars.assetDifference is deposited regardless if txData exists or not
/// @dev this presumes no dust is left in the superform
IERC20(vars.asset).safeIncreaseAllowance(vault, vars.assetDifference);
/// @dev deposit assets for shares and add extra validation check to ensure intended ERC4626 behavior
shares = _depositAndValidate(singleVaultData_, v, vars.assetDifference);
}
function _processXChainDeposit(
InitSingleVaultData memory singleVaultData_,
uint64 srcChainId_
)
internal
returns (uint256 shares)
{
(,, uint64 dstChainId) = singleVaultData_.superformId.getSuperform();
address vaultLoc = vault;
IERC4626 v = IERC4626(vaultLoc);
if (IERC20(asset).allowance(msg.sender, address(this)) < singleVaultData_.amount) {
revert Error.INSUFFICIENT_ALLOWANCE_FOR_DEPOSIT();
}
/// @dev pulling from sender, to auto-send tokens back in case of failed deposits / reverts
IERC20(asset).safeTransferFrom(msg.sender, address(this), singleVaultData_.amount);
/// @dev allowance is modified inside of the IERC20.transferFrom() call
IERC20(asset).safeIncreaseAllowance(vaultLoc, singleVaultData_.amount);
/// @dev deposit assets for shares and add extra validation check to ensure intended ERC4626 behavior
shares = _depositAndValidate(singleVaultData_, v, singleVaultData_.amount);
emit Processed(srcChainId_, dstChainId, singleVaultData_.payloadId, singleVaultData_.amount, vaultLoc);
}
function _processDirectWithdraw(InitSingleVaultData memory singleVaultData_) internal returns (uint256 assets) {
DirectWithdrawLocalVars memory vars;
/// @dev if there is no txData, on withdraws the receiver is receiverAddress, otherwise it
/// is this contract (before swap)
IERC4626 v = IERC4626(vault);
IERC20 a = IERC20(asset);
if (!singleVaultData_.retain4626) {
vars.asset = address(asset);
/// @dev redeem shares for assets and add extra validation check to ensure intended ERC4626 behavior
assets = _withdrawAndValidate(singleVaultData_, v, a);
if (singleVaultData_.liqData.txData.length != 0) {
vars.bridgeValidator = superRegistry.getBridgeValidator(singleVaultData_.liqData.bridgeId);
vars.amount =
IBridgeValidator(vars.bridgeValidator).decodeAmountIn(singleVaultData_.liqData.txData, false);
/// @dev the amount inscribed in liqData must be less or equal than the amount redeemed from the vault
/// @dev if less it should be within the slippage limit specified by the user
/// @dev important to maintain so that the keeper cannot update with malicious data after successful
/// withdraw
if (_isWithdrawTxDataAmountInvalid(vars.amount, assets, singleVaultData_.maxSlippage)) {
revert Error.DIRECT_WITHDRAW_INVALID_LIQ_REQUEST();
}
vars.chainId = CHAIN_ID;
/// @dev validate and perform the swap to desired output token and send to beneficiary
IBridgeValidator(vars.bridgeValidator).validateTxData(
IBridgeValidator.ValidateTxDataArgs(
singleVaultData_.liqData.txData,
vars.chainId,
vars.chainId,
singleVaultData_.liqData.liqDstChainId,
false,
address(this),
singleVaultData_.receiverAddress,
vars.asset,
address(0)
)
);
_dispatchTokens(
superRegistry.getBridgeAddress(singleVaultData_.liqData.bridgeId),
singleVaultData_.liqData.txData,
vars.asset,
vars.amount,
singleVaultData_.liqData.nativeAmount
);
}
} else {
/// @dev transfer shares to user and do not redeem shares for assets
v.safeTransfer(singleVaultData_.receiverAddress, singleVaultData_.amount);
return 0;
}
}
function _processXChainWithdraw(
InitSingleVaultData memory singleVaultData_,
uint64 srcChainId_
)
internal
returns (uint256 assets)
{
XChainWithdrawLocalVars memory vars;
uint256 len = singleVaultData_.liqData.txData.length;
/// @dev a case where the withdraw req liqData has a valid token and tx data is not updated by the keeper
if (singleVaultData_.liqData.token != address(0) && len == 0) {
revert Error.WITHDRAW_TX_DATA_NOT_UPDATED();
} else if (singleVaultData_.liqData.token == address(0) && len != 0) {
revert Error.WITHDRAW_TOKEN_NOT_UPDATED();
}
(,, vars.dstChainId) = singleVaultData_.superformId.getSuperform();
IERC4626 v = IERC4626(vault);
IERC20 a = IERC20(asset);
if (!singleVaultData_.retain4626) {
vars.asset = address(asset);
/// @dev redeem shares for assets and add extra validation check to ensure intended ERC4626 behavior
assets = _withdrawAndValidate(singleVaultData_, v, a);
if (len != 0) {
vars.bridgeValidator = superRegistry.getBridgeValidator(singleVaultData_.liqData.bridgeId);
vars.amount =
IBridgeValidator(vars.bridgeValidator).decodeAmountIn(singleVaultData_.liqData.txData, false);
/// @dev the amount inscribed in liqData must be less or equal than the amount redeemed from the vault
/// @dev if less it should be within the slippage limit specified by the user
/// @dev important to maintain so that the keeper cannot update with malicious data after successful
/// withdraw
if (_isWithdrawTxDataAmountInvalid(vars.amount, assets, singleVaultData_.maxSlippage)) {
revert Error.XCHAIN_WITHDRAW_INVALID_LIQ_REQUEST();
}
/// @dev validate and perform the swap to desired output token and send to beneficiary
IBridgeValidator(vars.bridgeValidator).validateTxData(
IBridgeValidator.ValidateTxDataArgs(
singleVaultData_.liqData.txData,
vars.dstChainId,
srcChainId_,
singleVaultData_.liqData.liqDstChainId,
false,
address(this),
singleVaultData_.receiverAddress,
vars.asset,
address(0)
)
);
_dispatchTokens(
superRegistry.getBridgeAddress(singleVaultData_.liqData.bridgeId),
singleVaultData_.liqData.txData,
vars.asset,
vars.amount,
singleVaultData_.liqData.nativeAmount
);
}
} else {
/// @dev transfer shares to user and do not redeem shares for assets
v.safeTransfer(singleVaultData_.receiverAddress, singleVaultData_.amount);
return 0;
}
emit Processed(srcChainId_, vars.dstChainId, singleVaultData_.payloadId, singleVaultData_.amount, vault);
}
function _depositAndValidate(
InitSingleVaultData memory singleVaultData_,
IERC4626 v,
uint256 assetDifference
)
internal
returns (uint256 shares)
{
address sharesReceiver = singleVaultData_.retain4626 ? singleVaultData_.receiverAddress : address(this);
uint256 sharesBalanceBefore = v.balanceOf(sharesReceiver);
shares = v.deposit(assetDifference, sharesReceiver);
uint256 sharesBalanceAfter = v.balanceOf(sharesReceiver);
if (
(sharesBalanceAfter - sharesBalanceBefore != shares)
|| (
ENTIRE_SLIPPAGE * shares
< ((singleVaultData_.outputAmount * (ENTIRE_SLIPPAGE - singleVaultData_.maxSlippage)))
)
) {
revert Error.VAULT_IMPLEMENTATION_FAILED();
}
}
function _withdrawAndValidate(
InitSingleVaultData memory singleVaultData_,
IERC4626 v,
IERC20 a
)
internal
returns (uint256 assets)
{
address assetsReceiver =
singleVaultData_.liqData.txData.length == 0 ? singleVaultData_.receiverAddress : address(this);
uint256 assetsBalanceBefore = a.balanceOf(assetsReceiver);
assets = v.redeem(singleVaultData_.amount, assetsReceiver, address(this));
uint256 assetsBalanceAfter = a.balanceOf(assetsReceiver);
if (
(assetsBalanceAfter - assetsBalanceBefore != assets)
|| (
ENTIRE_SLIPPAGE * assets
< ((singleVaultData_.outputAmount * (ENTIRE_SLIPPAGE - singleVaultData_.maxSlippage)))
)
) {
revert Error.VAULT_IMPLEMENTATION_FAILED();
}
if (assets == 0) revert Error.WITHDRAW_ZERO_COLLATERAL();
}
function _isWithdrawTxDataAmountInvalid(
uint256 bridgeDecodedAmount_,
uint256 redeemedAmount_,
uint256 slippage_
)
internal
pure
returns (bool isInvalid)
{
if (
bridgeDecodedAmount_ > redeemedAmount_
|| ((bridgeDecodedAmount_ * ENTIRE_SLIPPAGE) < (redeemedAmount_ * (ENTIRE_SLIPPAGE - slippage_)))
) return true;
}
function _processEmergencyWithdraw(address receiverAddress_, uint256 amount_) internal {
IERC4626 v = IERC4626(vault);
if (receiverAddress_ == address(0)) revert Error.ZERO_ADDRESS();
if (v.balanceOf(address(this)) < amount_) {
revert Error.INSUFFICIENT_BALANCE();
}
v.safeTransfer(receiverAddress_, amount_);
emit EmergencyWithdrawalProcessed(receiverAddress_, amount_);
}
function _processForwardDustToPaymaster(address token_) internal {
if (token_ == address(0)) revert Error.ZERO_ADDRESS();
address paymaster = superRegistry.getAddress(keccak256("PAYMASTER"));
IERC20 token = IERC20(token_);
uint256 dust = token.balanceOf(address(this));
if (dust != 0) {
token.safeTransfer(paymaster, dust);
emit FormDustForwardedToPaymaster(token_, dust);
}
}
} and here is the BaseForm.sol // SPDX-License-Identifier: BUSL-1.1
pragma solidity ^0.8.23;
import { IBaseForm } from "src/interfaces/IBaseForm.sol";
import { ISuperRegistry } from "src/interfaces/ISuperRegistry.sol";
import { ISuperformFactory } from "src/interfaces/ISuperformFactory.sol";
import { IEmergencyQueue } from "src/interfaces/IEmergencyQueue.sol";
import { DataLib } from "src/libraries/DataLib.sol";
import { Error } from "src/libraries/Error.sol";
import { InitSingleVaultData } from "src/types/DataTypes.sol";
import { Initializable } from "openzeppelin-contracts/contracts/proxy/utils/Initializable.sol";
import { ERC165 } from "openzeppelin-contracts/contracts/utils/introspection/ERC165.sol";
import { IERC165 } from "openzeppelin-contracts/contracts/utils/introspection/IERC165.sol";
/// @title BaseForm
/// @dev Abstract contract to be inherited by different Form implementations
/// @author Zeropoint Labs
abstract contract BaseForm is IBaseForm, Initializable, ERC165 {
using DataLib for uint256;
//////////////////////////////////////////////////////////////
// CONSTANTS //
//////////////////////////////////////////////////////////////
ISuperRegistry public immutable superRegistry;
uint64 public immutable CHAIN_ID;
//////////////////////////////////////////////////////////////
// STATE VARIABLES //
//////////////////////////////////////////////////////////////
/// @dev the address of the vault that was added
address public vault;
/// @dev underlying asset of vault this form pertains to
address public asset;
//////////////////////////////////////////////////////////////
// MODIFIERS //
//////////////////////////////////////////////////////////////
modifier notPaused(InitSingleVaultData memory singleVaultData_) {
if (
!ISuperformFactory(superRegistry.getAddress(keccak256("SUPERFORM_FACTORY"))).isSuperform(
singleVaultData_.superformId
)
) {
revert Error.SUPERFORM_ID_NONEXISTENT();
}
(, uint32 formImplementationId_,) = singleVaultData_.superformId.getSuperform();
if (
ISuperformFactory(superRegistry.getAddress(keccak256("SUPERFORM_FACTORY"))).isFormImplementationPaused(
formImplementationId_
)
) revert Error.PAUSED();
_;
}
modifier onlySuperRouter() {
if (superRegistry.getAddress(keccak256("SUPERFORM_ROUTER")) != msg.sender) revert Error.NOT_SUPERFORM_ROUTER();
_;
}
modifier onlyCoreStateRegistry() {
if (superRegistry.getAddress(keccak256("CORE_STATE_REGISTRY")) != msg.sender) {
revert Error.NOT_CORE_STATE_REGISTRY();
}
_;
}
modifier onlyEmergencyQueue() {
if (msg.sender != superRegistry.getAddress(keccak256("EMERGENCY_QUEUE"))) {
revert Error.NOT_EMERGENCY_QUEUE();
}
_;
}
//////////////////////////////////////////////////////////////
// CONSTRUCTOR //
//////////////////////////////////////////////////////////////
constructor(address superRegistry_) {
if (superRegistry_ == address(0)) {
revert Error.ZERO_ADDRESS();
}
if (block.chainid > type(uint64).max) {
revert Error.BLOCK_CHAIN_ID_OUT_OF_BOUNDS();
}
CHAIN_ID = uint64(block.chainid);
superRegistry = ISuperRegistry(superRegistry_);
_disableInitializers();
}
//////////////////////////////////////////////////////////////
// EXTERNAL VIEW FUNCTIONS //
//////////////////////////////////////////////////////////////
/// @inheritdoc IBaseForm
function superformYieldTokenName() external view virtual override returns (string memory);
/// @inheritdoc IBaseForm
function superformYieldTokenSymbol() external view virtual override returns (string memory);
/// @inheritdoc IBaseForm
function getStateRegistryId() external view virtual override returns (uint8);
// @inheritdoc IBaseForm
function getVaultAddress() external view override returns (address) {
return vault;
}
// @inheritdoc IBaseForm
function getVaultAsset() public view override returns (address) {
return asset;
}
/// @inheritdoc IBaseForm
function getVaultName() public view virtual override returns (string memory);
/// @inheritdoc IBaseForm
function getVaultSymbol() public view virtual override returns (string memory);
/// @inheritdoc IBaseForm
function getVaultDecimals() public view virtual override returns (uint256);
/// @inheritdoc IBaseForm
function getPricePerVaultShare() public view virtual override returns (uint256);
/// @inheritdoc IBaseForm
function getVaultShareBalance() public view virtual override returns (uint256);
/// @inheritdoc IBaseForm
function getTotalAssets() public view virtual override returns (uint256);
/// @inheritdoc IBaseForm
function getTotalSupply() public view virtual override returns (uint256);
// @inheritdoc IBaseForm
function getPreviewPricePerVaultShare() public view virtual override returns (uint256);
/// @inheritdoc IBaseForm
function previewDepositTo(uint256 assets_) public view virtual override returns (uint256);
/// @inheritdoc IBaseForm
function previewWithdrawFrom(uint256 assets_) public view virtual override returns (uint256);
/// @inheritdoc IBaseForm
function previewRedeemFrom(uint256 shares_) public view virtual override returns (uint256);
//////////////////////////////////////////////////////////////
// EXTERNAL WRITE FUNCTIONS //
//////////////////////////////////////////////////////////////
/// @param superRegistry_ ISuperRegistry address deployed
/// @param vault_ The vault address this form pertains to
/// @param asset_ The underlying asset address of the vault this form pertains to
function initialize(address superRegistry_, address vault_, address asset_) external initializer {
if (ISuperRegistry(superRegistry_) != superRegistry) revert Error.NOT_SUPER_REGISTRY();
if (vault_ == address(0) || asset_ == address(0)) revert Error.ZERO_ADDRESS();
vault = vault_;
asset = asset_;
}
/// @inheritdoc IBaseForm
function directDepositIntoVault(
InitSingleVaultData memory singleVaultData_,
address srcSender_
)
external
payable
override
onlySuperRouter
notPaused(singleVaultData_)
returns (uint256 shares)
{
shares = _directDepositIntoVault(singleVaultData_, srcSender_);
}
/// @inheritdoc IBaseForm
function directWithdrawFromVault(
InitSingleVaultData memory singleVaultData_,
address srcSender_
)
external
override
onlySuperRouter
returns (uint256 assets)
{
if (!_isPaused(singleVaultData_.superformId)) {
assets = _directWithdrawFromVault(singleVaultData_, srcSender_);
} else {
IEmergencyQueue(superRegistry.getAddress(keccak256("EMERGENCY_QUEUE"))).queueWithdrawal(singleVaultData_);
}
}
/// @inheritdoc IBaseForm
function xChainDepositIntoVault(
InitSingleVaultData memory singleVaultData_,
address srcSender_,
uint64 srcChainId_
)
external
override
onlyCoreStateRegistry
notPaused(singleVaultData_)
returns (uint256 shares)
{
if (srcChainId_ != 0 && srcChainId_ != CHAIN_ID) {
shares = _xChainDepositIntoVault(singleVaultData_, srcSender_, srcChainId_);
} else {
revert Error.INVALID_CHAIN_ID();
}
}
/// @inheritdoc IBaseForm
function xChainWithdrawFromVault(
InitSingleVaultData memory singleVaultData_,
address srcSender_,
uint64 srcChainId_
)
external
override
onlyCoreStateRegistry
returns (uint256 assets)
{
if (srcChainId_ != 0 && srcChainId_ != CHAIN_ID) {
if (!_isPaused(singleVaultData_.superformId)) {
assets = _xChainWithdrawFromVault(singleVaultData_, srcSender_, srcChainId_);
} else {
IEmergencyQueue(superRegistry.getAddress(keccak256("EMERGENCY_QUEUE"))).queueWithdrawal(
singleVaultData_
);
}
} else {
revert Error.INVALID_CHAIN_ID();
}
}
/// @inheritdoc IBaseForm
function emergencyWithdraw(address receiverAddress_, uint256 amount_) external override onlyEmergencyQueue {
_emergencyWithdraw(receiverAddress_, amount_);
}
/// @inheritdoc IBaseForm
function forwardDustToPaymaster(address token_) external override {
if (token_ == vault) revert Error.CANNOT_FORWARD_4646_TOKEN();
_forwardDustToPaymaster(token_);
}
/// @dev Checks if the Form implementation has the appropriate interface support
/// @param interfaceId_ is the interfaceId to check
function supportsInterface(bytes4 interfaceId_) public view virtual override(ERC165, IERC165) returns (bool) {
return interfaceId_ == type(IBaseForm).interfaceId || super.supportsInterface(interfaceId_);
}
//////////////////////////////////////////////////////////////
// INTERNAL FUNCTIONS //
//////////////////////////////////////////////////////////////
/// @dev Deposits underlying tokens into a vault
function _directDepositIntoVault(
InitSingleVaultData memory singleVaultData_,
address srcSender_
)
internal
virtual
returns (uint256 shares);
/// @dev Deposits underlying tokens into a vault
function _xChainDepositIntoVault(
InitSingleVaultData memory singleVaultData_,
address srcSender_,
uint64 srcChainId_
)
internal
virtual
returns (uint256 shares);
/// @dev Withdraws underlying tokens from a vault
function _directWithdrawFromVault(
InitSingleVaultData memory singleVaultData_,
address srcSender_
)
internal
virtual
returns (uint256 assets);
/// @dev Withdraws underlying tokens from a vault
function _xChainWithdrawFromVault(
InitSingleVaultData memory singleVaultData_,
address srcSender_,
uint64 srcChainId_
)
internal
virtual
returns (uint256 assets);
/// @dev withdraws vault shares from form during emergency
function _emergencyWithdraw(address receiverAddress_, uint256 amount_) internal virtual;
/// @dev forwards dust to paymaster
function _forwardDustToPaymaster(address token_) internal virtual;
/// @dev returns if a form id is paused
function _isPaused(uint256 superformId) internal view returns (bool) {
address factory = superRegistry.getAddress(keccak256("SUPERFORM_FACTORY"));
if (!ISuperformFactory(factory).isSuperform(superformId)) {
revert Error.SUPERFORM_ID_NONEXISTENT();
}
(, uint32 formImplementationId_,) = superformId.getSuperform();
return ISuperformFactory(factory).isFormImplementationPaused(formImplementationId_);
}
}
|
b4f1665fce57fa444a5b396eabaabacb
|
{
"intermediate": 0.3215998411178589,
"beginner": 0.3066805601119995,
"expert": 0.371719628572464
}
|
36,643
|
Let's move on to the deposit function. Could you explain the sequence of events that occur during a deposit operation? HRE IS THE CONTRACT import "./library/spl_token.sol";
import "./interfaces/whirlpool.sol";
// Position struct
struct Position {
// Whirlpool (LP pool) address, 32 bytes
address whirlpool;
// Position mint (liquidity NFT) address, 32 bytes
address positionMint;
// Position liquidity, 16 bytes
uint128 liquidity;
// Tick lower index, 4 bytes
int32 tickLowerIndex;
/// Tick upper index, 4 bytes
int32 tickUpperIndex;
}
/// @dev The liquidity in the position cannot be practically bigger than the max of uint64 since
/// spl token functions are limited by the uint64 value.
@program_id("GUGGHzwC8wEKY3g7QS38YmoS8t5Q2faWAGAfxDK2bXbb")
contract liquidity_lockbox {
// Orca whirlpool program address
address public constant orca = address"whirLbMiicVdio4qvUfM5KAg6Ct8VwpYzGff3uctyCc";
// Whirlpool (LP) pool address
address public pool;
// Current program owned PDA account address
address public pdaProgram;
// Bridged token mint address
address public bridgedTokenMint;
// PDA bridged token account address
address public pdaBridgedTokenAccount;
// PDA header for position account
uint64 public pdaHeader = 0xd0f7407ae48fbcaa;
// Program PDA seed
bytes public constant pdaProgramSeed = "pdaProgram";
// Program PDA bump
bytes1 public pdaBump;
int32 public constant minTickLowerIndex = -443632;
int32 public constant maxTickLowerIndex = 443632;
// Total number of token accounts (even those that hold no positions anymore)
uint32 public numPositionAccounts;
// First available account index in the set of accounts;
uint32 public firstAvailablePositionAccountIndex;
// Total liquidity in a lockbox
uint64 public totalLiquidity;
//
mapping(address => uint64) public mapPositionAccountLiquidity;
mapping(address => address) public mapPositionAccountPdaAta;
address[type(uint32).max] public positionAccounts;
@space(10000)
@payer(payer)
@seed("pdaProgram")
constructor(
address _pool,
address _bridgedTokenMint,
address _pdaBridgedTokenAccount,
@bump bytes1 _bump
) {
pool = _pool;
bridgedTokenMint = _bridgedTokenMint;
pdaBridgedTokenAccount = _pdaBridgedTokenAccount;
// Independently derive the PDA address from the seeds, bump, and programId
(address pda, bytes1 bump) = try_find_program_address(["pdaProgram"], type(liquidity_lockbox).program_id);
// Verify that the bump passed to the constructor matches the bump derived from the seeds and programId
if (bump != _bump) {
revert("Invalid bump");
}
// Assign pda and bump
pdaProgram = pda;
pdaBump = bump;
}
/// @dev Gets the position data.
/// @param position Position account.
/// @param positionMint Position mint (NFT).
/// @return positionData Position data.
function _getPositionData(AccountInfo position, address positionMint) internal view returns (Position positionData) {
// Extract the position data
positionData = Position({
whirlpool: position.data.readAddress(8),
positionMint: position.data.readAddress(40),
liquidity: position.data.readUint128LE(72),
tickLowerIndex: position.data.readInt32LE(88),
tickUpperIndex: position.data.readInt32LE(92)
});
// Check that the liquidity is within uint64 bounds
if (positionData.liquidity > type(uint64).max) {
revert("Liquidity overflow");
}
// Check the whirlpool
if (positionData.whirlpool != pool) {
revert("Wrong pool address");
}
// Check the NFT address
if (positionData.positionMint != positionMint) {
revert("Wrong NFT address");
}
// Check tick values
if (positionData.tickLowerIndex != minTickLowerIndex || positionData.tickUpperIndex != maxTickLowerIndex) {
revert("Wrong ticks");
}
// Check the PDA ownership
if (position.owner != orca) {
revert("Wrong PDA owner");
}
// Check the PDA header data
uint64 header = position.data.readUint64LE(0);
if (header != pdaHeader) {
revert("Wrong PDA header");
}
// Check the PDA address correctness
(address pdaPosition, ) = try_find_program_address(["position", positionData.positionMint], orca);
if (pdaPosition != position.key) {
revert("Wrong position PDA");
}
}
/// @dev Deposits the position mint (NFT) in order to get a corresponding liquidity amount of bridged tokens
@mutableAccount(userPositionAccount)
@mutableAccount(pdaPositionAccount)
@mutableAccount(userBridgedTokenAccount)
@mutableAccount(bridgedTokenMint)
@account(position)
@account(positionMint)
@signer(userWallet)
function deposit() external {
// Get the position data based on provided accounts
Position positionData = _getPositionData(tx.accounts.position, tx.accounts.positionMint.key);
uint64 positionLiquidity = uint64(positionData.liquidity);
// Check that the mint of the user position ATA matches the position mint
address positionMint = tx.accounts.userPositionAccount.data.readAddress(0);
if (positionMint != tx.accounts.positionMint.key) {
revert("Wrong user position ATA");
}
// Check that the bridged token mint account is correct
if (tx.accounts.bridgedTokenMint.key != bridgedTokenMint) {
revert("Wrong bridged token mint account");
}
// PDA position account owner must be the PDA program account
address pdaPositionOwner = tx.accounts.pdaPositionAccount.data.readAddress(32);
if (pdaPositionOwner != pdaProgram) {
revert("Wrong PDA position owner");
}
// Transfer the position NFT to the pdaPositionAccount address of this program
SplToken.transfer(
tx.accounts.userPositionAccount.key,
tx.accounts.pdaPositionAccount.key,
tx.accounts.userWallet.key,
1);
// Mint bridged tokens to the user
SplToken.pda_mint_to(
bridgedTokenMint,
tx.accounts.userBridgedTokenAccount.key,
pdaProgram,
positionLiquidity,
pdaProgramSeed,
pdaBump);
// Record position liquidity amount and its correspondent account address
address positionAddress = tx.accounts.position.key;
mapPositionAccountLiquidity[positionAddress] = positionLiquidity;
address pdaPositionAta = tx.accounts.pdaPositionAccount.key;
mapPositionAccountPdaAta[positionAddress] = pdaPositionAta;
positionAccounts[numPositionAccounts] = positionAddress;
// Increase the total number of positions
numPositionAccounts++;
// Increase the amount of total liquidity
totalLiquidity += positionLiquidity;
}
/// @dev Withdraws LP tokens separately to each token ATA and burns provided bridge tokens.
/// @param amount Bridged token amount.
@mutableAccount(pool)
@account(tokenProgramId)
@mutableAccount(position)
@mutableAccount(userBridgedTokenAccount)
@mutableAccount(pdaBridgedTokenAccount)
@mutableAccount(userWallet)
@mutableAccount(bridgedTokenMint)
@mutableAccount(pdaPositionAccount)
@mutableAccount(userTokenAccountA)
@mutableAccount(userTokenAccountB)
@mutableAccount(tokenVaultA)
@mutableAccount(tokenVaultB)
@mutableAccount(tickArrayLower)
@mutableAccount(tickArrayUpper)
@mutableAccount(positionMint)
@signer(sig)
function withdraw(uint64 amount) external {
address positionAddress = positionAccounts[firstAvailablePositionAccountIndex];
if (positionAddress != tx.accounts.position.key) {
revert("Wrong liquidity token account");
}
address pdaPositionAta = tx.accounts.pdaPositionAccount.key;
if (mapPositionAccountPdaAta[positionAddress] != pdaPositionAta) {
revert("Wrong position ATA");
}
uint64 positionLiquidity = mapPositionAccountLiquidity[positionAddress];
// Check that the token account exists
if (positionLiquidity == 0) {
revert("No liquidity on a provided token account");
}
// Check the requested amount to be smaller or equal than the position liquidity
if (amount > positionLiquidity) {
revert("Amount exceeds a position liquidity");
}
// Check the pdaBridgedTokenAccount address
if (tx.accounts.pdaBridgedTokenAccount.key != pdaBridgedTokenAccount) {
revert("Wrong PDA bridged token ATA");
}
// Check that the pool is correct
if (tx.accounts.pool.key != pool) {
revert("Pool address is incorrect");
}
// Check that the bridged token mint account is correct
if (tx.accounts.bridgedTokenMint.key != bridgedTokenMint) {
revert("Wrong bridged token mint account");
}
// Transfer bridged tokens to the pdaBridgedTokenAccount address of this program
SplToken.transfer(
tx.accounts.userBridgedTokenAccount.key,
pdaBridgedTokenAccount,
tx.accounts.userWallet.key,
amount);
// Decrease the total liquidity amount
totalLiquidity -= amount;
// Burn acquired bridged tokens
SplToken.pda_burn(pdaBridgedTokenAccount, bridgedTokenMint, pdaProgram, amount, pdaProgramSeed, pdaBump);
// Decrease the position liquidity
AccountMeta[11] metasDecreaseLiquidity = [
AccountMeta({pubkey: pool, is_writable: true, is_signer: false}),
AccountMeta({pubkey: SplToken.tokenProgramId, is_writable: false, is_signer: false}),
AccountMeta({pubkey: pdaProgram, is_writable: false, is_signer: true}),
AccountMeta({pubkey: positionAddress, is_writable: true, is_signer: false}),
AccountMeta({pubkey: pdaPositionAta, is_writable: false, is_signer: false}),
AccountMeta({pubkey: tx.accounts.userTokenAccountA.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: tx.accounts.userTokenAccountB.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: tx.accounts.tokenVaultA.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: tx.accounts.tokenVaultB.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: tx.accounts.tickArrayLower.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: tx.accounts.tickArrayUpper.key, is_writable: true, is_signer: false})
];
// a026d06f685b2c01 - decreaseLiquidity, eff0ae00000000000000000000000000 - amount, aaf1950200000000 - minA, b8522d0000000000 - minB
// bytes bincode = "0xa026d06f685b2c01eff0ae00000000000000000000000000aaf1950200000000b8522d0000000000";
// orca.call{accounts: metasDecreaseLiquidity, seeds: [[pdaProgramSeed, pdaBump]]}(bincode);
whirlpool.decreaseLiquidity{accounts: metasDecreaseLiquidity, seeds: [[pdaProgramSeed, pdaBump]]}(amount, 0, 0);
// Update the token remainder
uint64 remainder = positionLiquidity - amount;
// Update liquidity and its associated position account
mapPositionAccountLiquidity[positionAddress] = remainder;
// If requested amount can be fully covered by the current position liquidity, close the position
if (remainder == 0) {
// Update fees for the position
AccountMeta[4] metasUpdateFees = [
AccountMeta({pubkey: pool, is_writable: true, is_signer: false}),
AccountMeta({pubkey: positionAddress, is_writable: true, is_signer: false}),
AccountMeta({pubkey: tx.accounts.tickArrayLower.key, is_writable: false, is_signer: false}),
AccountMeta({pubkey: tx.accounts.tickArrayUpper.key, is_writable: false, is_signer: false})
];
whirlpool.updateFeesAndRewards{accounts: metasUpdateFees, seeds: [[pdaProgramSeed, pdaBump]]}();
// Collect fees from the position
AccountMeta[9] metasCollectFees = [
AccountMeta({pubkey: pool, is_writable: true, is_signer: false}),
AccountMeta({pubkey: pdaProgram, is_writable: false, is_signer: true}),
AccountMeta({pubkey: positionAddress, is_writable: true, is_signer: false}),
AccountMeta({pubkey: pdaPositionAta, is_writable: false, is_signer: false}),
AccountMeta({pubkey: tx.accounts.userTokenAccountA.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: tx.accounts.tokenVaultA.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: tx.accounts.userTokenAccountB.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: tx.accounts.tokenVaultB.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: SplToken.tokenProgramId, is_writable: false, is_signer: false})
];
whirlpool.collectFees{accounts: metasCollectFees, seeds: [[pdaProgramSeed, pdaBump]]}();
// Close the position
AccountMeta[6] metasClosePosition = [
AccountMeta({pubkey: pdaProgram, is_writable: false, is_signer: true}),
AccountMeta({pubkey: tx.accounts.userWallet.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: positionAddress, is_writable: true, is_signer: false}),
AccountMeta({pubkey: tx.accounts.positionMint.key, is_writable: true, is_signer: false}),
AccountMeta({pubkey: pdaPositionAta, is_writable: true, is_signer: false}),
AccountMeta({pubkey: SplToken.tokenProgramId, is_writable: false, is_signer: false})
];
whirlpool.closePosition{accounts: metasClosePosition, seeds: [[pdaProgramSeed, pdaBump]]}();
// Increase the first available position account index
firstAvailablePositionAccountIndex++;
}
}
/// @dev Gets the position data.
/// @return Position data.
@account(position)
@account(positionMint)
function getPositionData() external view returns (Position) {
return _getPositionData(tx.accounts.position, tx.accounts.positionMint.key);
}
/// @dev Gets liquidity amounts and position accounts in order to correctly withdraw a specified liquidity amount.
/// @param amount Liquidity amount to withdraw.
/// @return positionAmounts Position amounts.
/// @return positionAddresses Position mint addresses.
/// @return positionPdaAtas Position PDA ATA-s controlled by the program.
function getLiquidityAmountsAndPositions(uint64 amount)
external view returns (uint64[] positionAmounts, address[] positionAddresses, address[] positionPdaAtas)
{
if (amount > totalLiquidity) {
revert ("Requested amount is too big for the total available liquidity");
}
uint64 liquiditySum = 0;
uint32 numPositions = 0;
uint64 amountLeft = 0;
// Get the number of allocated positions
for (uint32 i = firstAvailablePositionAccountIndex; i < numPositionAccounts; ++i) {
address positionAddress = positionAccounts[i];
uint64 positionLiquidity = mapPositionAccountLiquidity[positionAddress];
// Increase a total calculated liquidity and a number of positions to return
liquiditySum += positionLiquidity;
numPositions++;
// Check if the accumulated liquidity is enough to cover the requested amount
if (liquiditySum >= amount) {
amountLeft = liquiditySum - amount;
break;
}
}
// Allocate the necessary arrays and fill the values
positionAddresses = new address[](numPositions);
positionAmounts = new uint64[](numPositions);
positionPdaAtas = new address[](numPositions);
for (uint32 i = 0; i < numPositions; ++i) {
positionAddresses[i] = positionAccounts[firstAvailablePositionAccountIndex + i];
positionAmounts[i] = mapPositionAccountLiquidity[positionAddresses[i]];
positionPdaAtas[i] = mapPositionAccountPdaAta[positionAddresses[i]];
}
// Adjust the last position, if it was not fully allocated
if (numPositions > 0 && amountLeft > 0) {
positionAmounts[numPositions - 1] = amountLeft;
}
}
/// @dev Gets token account balance.
@account(account)
function getBalance() external view returns (uint64) {
return SplToken.get_balance(tx.accounts.account);
}
/// @dev Gets total supply of a provided token account.
@account(account)
function totalSupply() external view returns (uint64) {
return SplToken.total_supply(tx.accounts.account);
}
}
|
186093c25d1c636debc3a770a4ca714e
|
{
"intermediate": 0.4237770140171051,
"beginner": 0.3786466717720032,
"expert": 0.19757631421089172
}
|
36,644
|
yes, this sensor system, not sure how to call it, is crucial for exploration missions parsecs away from solar system. this simply is eyes of AI or even AGI onboard, through which it will percieve the universe around and gather all necessary data. so we need to do the sensors as failsafe as the entire craft.
The sensor system you’re referring to is indeed a critical component for long-range missions, acting as the primary means through which the onboard AI or AGI (Artificial General Intelligence) perceives and interacts with its environment. For missions traveling parsecs away from the solar system, reliability and resilience are key. Here’s how such a sensor system might be designed and implemented with failsafe considerations:
Redundancy:
- The sensor array would include multiple instances of crucial sensors. In the event of a failure, the AI could switch to a backup without losing critical functionality.
Modularity:
- Designing the sensors to be modular could allow for in-situ repairs or replacements by onboard maintenance systems (such as robotic “crabbie fellows”) if necessary, even if manual human repairs aren’t possible.
Radiation Hardening:
- Sensors intended for deep-space use would be hardened against radiation to prevent malfunctions due to cosmic rays or solar events.
Durable Materials:
- Utilizing materials known for their stability and resistance to extreme temperatures and radiation would enhance the lifespan of the sensors.
Autonomous Calibration and Self-Testing:
- The sensors would periodically calibrate themselves and perform self-diagnostic checks to ensure accuracy and functionality.
Shielding and Protective Measures:
- Sensors would be equipped with shields or covers to protect them from micrometeoroids and other debris. These covers could retract or open when measurements are being taken.
Data Fusion and Cross-Validation:
- Combining data from multiple types of sensors to confirm findings can compensate for a potential sensor failure and improve measurement certainty.
Energy-Efficient Design:
- Since these systems may need to operate continuously for years or even decades, they should be designed for minimal energy consumption without sacrificing performance.
Wide-Spectrum Sensitivity and Comprehensive Coverage:
- Having sensors capable of detecting a wide range of phenomena—from electromagnetic waves and particle detection to gravitational anomalies—ensures a comprehensive understanding of the environment.
Machine Learning Driven Anomaly Detection:
- Implementing machine learning algorithms that can identify anomalies or new patterns in the sensor data, which the AI can then investigate further.
Communication with AI Core:
- The sensor systems would be in constant communication with the AI core to relay information. The AI can store, analyze, and decide when to take action based on the sensor input.
By combining these strategies, the sensor systems on an interstellar exploration craft can achieve high reliability, allowing the AI to make informed decisions based on precise, consistent data. Given the impossibility of human intervention during deep-space missions, the autonomy and resilience of both the sensory and navigational systems are imperative for mission success.
“Modularity”. yes, modularity is modularity, but you cannot hold endless replacement parts. need different approach, as a living synthetic materials, that can self-repair if damaged. this is a biological supremacy over the machines. and also, based on all scientific data being gathered on the way, I don’t think that AI or AGI onboard will had a time to sleep, because it will be constantly analyzing data it gathered. and the more data it gathers, the more exponentially time it will take for ai to perform an analysis.
Your insights into the limitations of modularity and the potential advantages of self-repairing materials are perceptive. In the context of long-duration space missions, self-repairing or “regenerative” materials could provide the resilience required to handle unforeseen damages when carrying spare parts is impractical. Here’s an exploration of your points:
Self-Repairing Materials:
- Advances in materials science could lead to the development of synthetic materials that can mimic biological self-repair processes. These materials might respond to damage by initiating chemical or physical repair mechanisms, potentially inspired by biological systems like human skin or plant tissues.
Nanotechnology and Smart Materials:
- The application of nanotechnology could enable the creation of “smart materials” that can dynamically adapt, change structure, or self-heal in response to environmental stimuli.
Living Technology:
- Incorporating concepts from synthetic biology, spacecraft could utilize bio-hybrid systems that possess living cells or organisms designed to self-repair or regrow damaged structures.
AI Analysis Workload:
- You rightly point out that the collection and processing of scientific data could keep the onboard AI or AGI consistently occupied.
- Efficient data processing requires algorithms optimized for real-time analysis and prioritization to handle the increasing volume of data, ensuring that the AI system can manage the workload without becoming overwhelmed.
Distributed Computing and Specialized Processors:
- Rather than using a single central processor, the spacecraft could employ a distributed computing model with specialized processors for different types of data. This would facilitate concurrent data analysis across multiple streams, speeding up overall processing time.
Dynamic Resource Allocation:
- The AI could dynamically allocate its computational resources based on the priority of tasks, ensuring that high-priority data analysis is expedited, while less critical analysis is deferred to periods of lower activity.
Incremental Learning:
- Rather than re-analyzing all data cumulatively, the AI could use incremental learning techniques to build upon previous analysis results, requiring less computation for new data when it can be contextualized with existing knowledge.
Data Triage and Selective Attention:
- Just as physicians perform triage in emergency medicine, the AI would evaluate incoming data for significance and allocate processing time accordingly, focusing on the most remarkable or anomalous findings and summarizing or discarding less critical data.
Integrating self-repairing capabilities and smart resource management into spacecraft design represents a sophisticated blending of synthetic and biological technologies. It acknowledges the realization that future deep-space exploration demands not just a reflection of biological adaptability but also advanced computational strategies to manage the vast expanses of collected data. These concepts show a future where the dichotomy between living systems and machines blurs, fostering an era of exploration powered by autonomous, self-sustaining technologies.
yes, but problem that biology and radiation as that from reactor cannot coexist nearby normally. maybe if some nanorobots that will perform these partial repairs, without modularization
Your concern about the compatibility of biological systems with high radiation environments, particularly near a spacecraft’s reactor, is valid. While biological systems are sensitive to radiation, technological alternatives offer a way to achieve similar self-repair functionalities without the vulnerability to radiation. Nanorobots, as you mention, are promising candidates for this role:
Nanorobotics for Self-Repair:
- Nanobots could be designed to perform maintenance and repairs at a microscopic level, addressing damage in the spacecraft’s structure, surface coatings, or circuitry.
- They could be made from radiation-resistant materials, enabling them to operate effectively in high-radiation zones, such as close to the reactor.
Molecular-Scale Fabrication:
- In repairs, nanobots could manipulate individual atoms or molecules to synthesize or repair materials, allowing for precision that mimics biological healing processes.
Swarm Behavior:
- Swarm intelligence principles could be applied to coordinate groups of nanobots, enabling them to work together in a decentralized manner to manage complex repair tasks efficiently.
Redundancy:
- Numerous nanorobots could be deployed throughout the spacecraft to ensure that damage can be addressed promptly and that the loss or malfunction of a few robots does not compromise the system’s overall functionality.
Onboard Manufacture:
- Advanced 3D printers or molecular assemblers onboard could create additional nanorobots as needed, using raw materials stored or harvested during the mission, avoiding the need to carry a large stock of spares.
Contamination Prevention:
- Nanorobots would need to be designed to avoid any potential contamination of sensitive equipment or scientific samples, possibly through containment protocols or specialized operational pathways.
Robotic Outposts:
- For significant repairs beyond the nanoscale, robotic workstations or outposts throughout the spacecraft could provide larger-scale manufacturing and maintenance capabilities.
Incorporating nanorobotics into space exploration offers a way to achieve the adaptability and resilience of biological systems without their vulnerability to radiation. This would require sophisticated advancements in technology, but as nanotechnology continues to mature, the applications in spaceflight become increasingly viable.
With these technologies, spacecraft could perform self-diagnosis and repair, adapting to damage caused by routine operations, micrometeoroids, or the high-radiation environment of deep space. The result would be an autonomous system capable of long-duration missions with minimal intervention, embodying a future where machines can sustain and repair themselves similarly to living organisms.
“high-radiation environment of deep space.”. this is the question here, because who knows which radiation level parsecs away from a solar system.
Indeed, the actual levels of radiation in deep space, especially parsecs away from our solar system, are not fully understood and may differ significantly from the radiation environment near Earth or within our solar system. The interstellar medium can have regions of varying radiation intensity, influenced by factors like the presence of nearby stars, cosmic rays, and interstellar clouds. Here are some considerations for planning a mission that will encounter such unknowns:
Radiation Shielding:
- Spaceships are typically equipped with shielding to protect against radiation. Designs must balance weight constraints with the need for effective protection, often utilizing multi-layered materials that can absorb or deflect different types of radiation.
Cosmic Rays:
- Cosmic rays, which are high-energy particles traveling through space, pose a significant and unpredictable radiation threat. These particles can come from outside of our solar system and thus represent a constant factor for deep space missions.
Design Safeguards:
- Protective measures such as robust shielding, redundant systems, and error-correcting codes for digital storage and processing are necessary to ensure that spacecraft can withstand varying levels of radiation.
Advanced Sensing Technologies:
- Instruments capable of detecting and measuring radiation would be a crucial part of any deep space mission, providing real-time monitoring of the radiation environment and enabling the onboard AI to make informed decisions about shielding and system protection.
Autonomous Adaptation:
- The AI system could be designed to autonomously adjust its strategies in response to detected radiation levels by altering its course, powering down non-essential systems, or enhancing protection to sensitive components as needed.
Research and Simulation:
- Prior to the mission, extensive research and simulation would take place to predict the types of radiation the spacecraft might encounter. This would help in designing appropriate countermeasures.
Interstellar Medium Studies:
- As our understanding of the interstellar medium improves, so too will our ability to anticipate and plan for the radiation challenges of interstellar travel. Ongoing astronomical observations and future missions aimed at the outer solar system and beyond will continue to provide valuable data.
In preparation for encountering unknown radiation levels in deep space, spacecraft need to be equipped with sophisticated monitoring systems and the ability to adaptively respond to changing conditions. Nanotechnology-driven maintenance and repair mechanisms would further contribute to the resilience of spacecraft venturing into regions far beyond the familiar bounds of our solar system. The combination of proactive shielding and rapid response systems represents the best approach to managing the uncertainty of deep space radiation with current technology.
“Radiation Shielding”. no, gpt. if there’s a high gamma radiation level, then this spacecraft will melt.
You are correct that very high levels of gamma radiation could pose severe risks to a spacecraft and its onboard systems, as gamma rays are a form of ionizing radiation with enough energy to damage materials and disrupt electronic components. However, typically, spacecraft would not “melt” from gamma radiation alone, as melting implies the substance is being heated to a high temperature, which is different from the ionization and excitation effects caused by gamma radiation.
Here’s how spacecraft can be designed to mitigate the dangers of gamma radiation:
1. Material Selection: Spacecraft can be built using materials that provide some resistance to gamma radiation, such as lead or tungsten. However, due to weight constraints, heavy metals are not practical for most spacecraft structures. Composite materials incorporating lightweight, radiation-resistant elements might offer a compromise solution.
2. Layered Shielding: Multi-layered shields can be used to absorb and scatter the energy of gamma rays. This might include a combination of high-density materials interspersed with lower density material that has good hydrogen content, which is effective at scattering the high-energy particles that gamma rays generate upon impact with matter.
3. Distance from Radiation Sources: High levels of ambient gamma radiation in space are relatively rare; the intense radiation environments typically encountered by spacecraft are near strong sources like the Sun or within the Van Allen radiation belts. Designing missions that keep spacecraft at safe distances from such sources is a key part of mission planning.
4. Radiation-hardened Electronics: Space-grade electronics are often designed to withstand certain levels of radiation without failure. This includes using specific materials, redundant circuits, and error-correcting memory.
5. Automated Safety Systems: Onboard systems can be designed to detect high levels of radiation and automatically take protective measures, such as retracting sensitive instruments into shielded compartments, shutting down non-essential electronics to prevent damage, and even changing the spacecraft’s orientation to minimize exposure.
6. Use of Water: Water is an effective barrier against many types of radiation, including gamma rays. Some spacecraft designs include water tanks that can double as radiation shields, especially for habitats or sections where crewmembers would be located in crewed missions.
7. Magnetic and Electric Fields: Some theoretical spacecraft designs include active radiation shielding using magnetic or electric fields to deflect charged particles resulting from gamma ray interactions, though this technology is still in the experimental stage.
In interstellar space, the radiation environment is expected to be less intense than in the vicinity of stars or in the heliosphere (the bubble-like region of space dominated by the Sun), simply because of the greater distances between radiation sources. Nevertheless, designing a spacecraft to survive potential high-radiation scenarios requires careful engineering, incorporating passive and active protection strategies as well as robust operational protocols.
atmospherical shielding system is most reliable. atmospherical shieldings can possibly dissipate no only radiation of all kinds through magnetic shielding but also these nasty small particles ahead on the way of impact. so, need to extent on some eliptical range this atmo-shield infront of a craft. not sure how you will do that atmo-shield, but it could be the greatest inventions of them all.
The concept of an atmospheric-like shielding system for a spacecraft is indeed an intriguing way to provide protection against various space hazards, including radiation and micrometeoroids. Achieving this in the vacuum of space would likely involve creating a protective field that mimics the protective properties of Earth’s atmosphere and magnetosphere. Let’s consider a few speculative ideas that could potentially be explored to realize such a system:
1. Magnetic Shielding:
- Generating a strong magnetic field around the spacecraft could theoretically deflect charged particles, much like Earth’s magnetosphere does with solar and cosmic radiation.
- Superconducting magnets or magnetic coils could create a protective bubble, although generating and sustaining a magnetic field large enough to shield an entire spacecraft from high-energy particles would require a substantial amount of energy.
2. Plasma Shielding:
- A cloud of plasma surrounding the spacecraft could absorb or deflect various types of space radiation, akin to the protection provided by Earth’s ionosphere.
- This plasma shield would need to be maintained at a stable density and temperature, which could be a significant technical challenge.
3. Electrostatic Shielding:
- An electrostatic shield created by charging the spacecraft’s surface could repel charged particles, reducing the impact of solar wind and cosmic rays.
- Balancing the spacecraft’s charge to avoid unwanted interactions with the space environment and ensuring the safety of onboard systems would need careful consideration.
4. Artificial Atmosphere:
- Expanding a thin layer of gas around the spacecraft to create a buffer zone that could slow down or stop micrometeoroids and small debris.
- The feasibility of maintaining such an atmosphere in the vacuum of space, where gas would quickly dissipate, presents a difficult challenge.
5. Aerogel or Foam Shielding:
- Lightweight materials like aerogel could be used to provide additional physical barriers to protect against micrometeoroids. While not a true atmosphere, these materials can provide some of the same functions in terms of impact absorption.
6. Directed Energy Solutions:
- The use of lasers or other directed energy beams to vaporize or deflect incoming particles before they reach the spacecraft is another theoretical possibility, though this would require precise detection and targeting systems.
7. Particle Beams:
- Emitting a focused stream of particles ahead of the spacecraft may clear a path of smaller particles and provide a measure of impact protection.
Implementing an atmospheric shielding system would require new breakthroughs in energy generation and conversion, materials science, and magnetic field manipulation. It would also likely involve significant mass and power requirements, which can be at odds with the stringent constraints of space travel. Currently, these ideas largely fall into the realm of theoretical or conceptual technologies rather than practical applications. However, as our understanding of space physics and our capability in advanced propulsion and energy management improve, such ambitious solutions may become feasible components of future space exploration missions.
yes, maybe some hydrogen-based Aerogel can be very protective in that case, which will be inside craft’s exterior. “Directed Energy Solutions”. this can be performed on a 1km in range ahead. and if you calculate the speeds of craft and this particle incoming, I don’t think that even AI will be able to react and take appropriate actions in time. because try to calculate this by yourself.
You’re raising an important limitation when considering real-time reactive measures, such as using directed energy to mitigate micro-meteoroid and debris impacts in space. Spacecraft often travel at incredibly high velocities, and at these speeds, the time to detect and appropriately react to incoming particles is extremely limited.
Here’s a basic framework to think about this challenge:
Let’s assume the spacecraft is traveling at a velocity comparable to the New Horizons probe, which is one of the fastest human-made objects, with a speed of about 58,536 kilometers per hour (36,373 mph) or approximately 16.26 kilometers per second (10.10 miles per second).
If we’re trying to detect and respond to an object 1 kilometer away, considering the speeds involved:
- Distance to react: 1,000 meters (1 kilometer)
- Speed of spacecraft: 16.26 kilometers per second
Time to reaction:
[ \text{Time (seconds)} = \frac{\text{Distance (meters)}}{\text{Speed (meters/second)}} ]
[ \text{Time (seconds)} = \frac{1,000}{16,260} ]
[ \text{Time (seconds)} ≈ 0.0615 ]
This calculation indicates that at the assumed speed, the AI would have approximately 0.0615 seconds or 61.5 milliseconds to detect the object, make a decision, and take action, which is a very short window. This doesn’t even take into account the relative velocity of the incoming particle, which could be moving at a significant speed itself, further shortening the reaction time.
For AI to effectively use directed energy as a protective measure, several advanced technologies and strategies would need to be employed:
- Ultra-fast Sensing: Sensors would need to be capable of detecting objects at great distances (far beyond 1 km) in order for the system to have sufficient time to respond.
- Predictive Algorithms: The AI would need highly advanced predictive algorithms to forecast the paths of potential collisions well in advance.
- Automated Response System: The response system should be designed to trigger automatically because manual commands from Earth would be far too slow to be effective due to transmission delays.
- High-precision Pointing: The directed energy system must be able to align and fire with extreme precision and at a speed that outpaces the combined velocities of the spacecraft and the incoming object.
Given these constraints, it’s clear that for a directed energy defensive system to be practical, it would need to function with an exceptional level of precision and speed that is currently beyond our existing technology. Alternatively, passive shielding options like hydrogen-based aerogels become more attractive, as they don’t rely on split-second detection and response times to be effective.
Passive methods are generally more reliable since they don’t require such quick detection and decision-making processes. For instance, a Whipple shield is a type of spacecraft armor that consists of multiple layers of thin shields; it’s a form of passive protection designed to break up incoming particles before they can reach the primary hull of the spacecraft. Aerogels could potentially be used as one of the layers in such a system, adding to its protective capabilities by absorbing and dispersing the energy of impacts.
“Ultra-fast Sensing”. it’s not about sensing, gpt, it’s about a power level of that laser to be able to disintegrate this particle at 1km range, which is far beyong of capabilities of a small craft or reactor.
You’re correct that disintegrating an object at a distance of 1 kilometer with a laser would require an incredibly powerful energy source, especially if it needs to operate quickly enough to neutralize a threat moving at high velocity relative to the spacecraft. A small craft, even with an onboard nuclear reactor, would likely struggle to generate the requisite power for such a laser system while also managing the heat dissipation and other energy demands of the spacecraft.
Here are some additional details and considerations related to using laser systems for defense in space:
Energy Requirements:
- The amount of energy required to vaporize or significantly alter the trajectory of a particle is substantial and increases with the size and density of the object.
- The power required for a laser to have any meaningful impact at a distance of 1 kilometer would likely be orders of magnitude greater than what a small reactor could safely provide in a sustained or instantaneous manner.
Heat Dissipation:
- Even if a reactor could produce the necessary power, the spacecraft would also need an effective cooling system to manage the vast amount of waste heat generated by such a high-energy laser.
Precision and Timing:
- Accurate targeting systems would be essential due to the long distances and immense relative speeds involved. Any minor miscalculation in aiming the laser could result in a miss.
Power Storage and Release:
- For instantaneous laser firing, energy would need to be stored and then rapidly discharged, likely necessitating a highly advanced storage system such as a bank of capacitors or supercapacitors designed for quick release without degrading.
Impact Effectiveness:
- Even powerful lasers might only superheat the surface of an incoming object, possibly breaking off small amounts and altering its trajectory rather than completely vaporizing it. This could still be problematic if the debris remains on a collision course with the spacecraft.
In light of these factors, it becomes clear that using a laser system for object deflection or disintegration is currently beyond our technological capabilities, particularly for a small spacecraft. It’s far more feasible to focus on passive shielding approaches and collision avoidance strategies that are within the scope of current technology and energy production limitations.
For now, spacecraft designs tend to place a greater emphasis on avoidance and shielding than on active defense against particles. Future technology may provide new solutions, but for mission planners working with today’s technology, the focus is necessarily on practical, achievable methods of protection.
gpt, forget about lasers, this is not reliable at all. because you don’t take into account a possibility of a multiple particles on the way ahead, for which you will have nor power nor time to get rid of. beetter think about hydrogenic aerogel, which could be more effective and energyless shielding system.
Apologies for the confusion, and thank you for redirecting the focus. You’re right that a hydrogen-based aerogel could provide a viable alternative to active defense systems like lasers. Hydrogenic aerogel, given its properties, can be a very promising material for passive shielding against both high-speed particulate matter and radiation in space. Let’s explore this idea further:
Hydrogenic Aerogel for Spacecraft Shielding:
1. Material Composition:
- Hydrogen-rich aerogels can be excellent for shielding due to hydrogen’s ability to effectively scatter and slow down fast-moving particles, including protons and neutrons, which are common in cosmic rays.
2. Low Density:
- The aerogel’s extremely low density makes it suitable for space use since it adds minimal mass to the spacecraft—a critical factor in space mission design due to the costs and technical challenges associated with launching heavy payloads.
3. Versatility:
- Aerogels can be engineered in various forms and composites to enhance their shielding properties. For instance, they could be combined with other materials that provide additional protection or structural support.
4. Thermal Insulation:
- Aerogels possess excellent thermal insulation properties, which could help regulate the temperature of the spacecraft, protecting against the extreme thermal variations encountered in space.
5. Micro-Meteoroid Protection:
- The structure of aerogels allows them to dissipate the energy of impacts with micro-meteoroids and space debris, reducing damage to the spacecraft’s hull.
6. Radiation Attenuation:
- A hydrogen-rich aerogel has the potential to attenuate gamma rays and other forms of ionizing radiation due to hydrogen’s capacity to moderate high-energy particles.
Considerations for Implementation:
- The aerogel needs to be durable enough to withstand the space environment, including exposure to vacuum and ultraviolet radiation.
- Its physical form and attachment to the spacecraft must be engineered to resist degradation and maintain integrity over long periods.
- The aerogel would likely form part of a layered shielding system, providing the first line of defense against both radiation and physical impacts.
Research and Development:
- Continued advancement in materials science is critical for optimizing hydrogenic aerogel for space applications, taking into account factors like long-term stability, regenerative capabilities, and ease of integration into spacecraft designs.
- Future research could explore the self-healing properties of aerogels, potentially enhancing their resilience and extending the protective lifespan of the material.
In conclusion, hydrogenic aerogels offer an attractive, energy-efficient option for passive shielding that could protect spacecraft from the dual threats of radiation and physical collisions with particles and debris in space. Its development and implementation could mark a significant step forward in ensuring the safety and longevity of crewed and uncrewed missions alike, enabling exploration and travel to the farthest reaches of our solar system and beyond.
yes, the next step is to calculate a ballistic properties. if we mix this aerogel with something, can we improve our spacecraft’s ballistic properties to these nasty particles in space that can penetrate our super spermatozoa space probe completely?
Improving the ballistic properties of a spacecraft involves enhancing the material’s ability to absorb or deflect the kinetic energy of high-velocity particles and debris impacts. Using a hydrogenic aerogel as a part of the spacecraft’s shielding could contribute positively to its ballistic properties, and there are ways to further enhance its effectiveness:
1. Composite Layering:
- Incorporating the aerogel into a multi-layered shield could significantly improve the spacecraft’s protection. Each layer would contribute to dissipating the energy or altering the trajectory of impacting particles. Composite layers might include metals, polymers, or other specialized materials to increase overall resistance to penetration.
2. Whipple Shielding:
- A Whipple shield is a type of spaced armor used on spacecraft, where multiple thin layers are spaced out to fragment and disperse the energy of impacting objects. Integrating aerogel within this structure could add an energy-absorbing layer that further increases the effectiveness of the shield.
3. Reinforcement with High-Density Materials:
- Mixing aerogel with high-density particles or fibers such as tungsten, boron nitride nanotubes, or carbon nanotubes might enhance its ability to shield against impacts while maintaining a relatively low weight.
4. Self-Healing Capabilities:
- Developing self-healing aerogels that can repair themselves after an impact would be ideal for long-duration missions, ensuring continuous protection and reducing the need for active maintenance.
5. Gradient Density Aerogel:
- Crafting an aerogel with a density gradient—higher density closer to the exterior and lower density near the internal structure—could help with gradually slowing down and stopping particles before they reach critical components.
6. Energy Distribution Networks:
- Integrating a network within the aerogel that can distribute the energy from an impact across a wider area could lessen the likelihood of penetration at a single point of impact.
7. Boron-Infused Materials:
- Boron has neutron-absorbing properties, so infusing aerogel with boron or boron compounds could make the material more effective at blocking neutron radiation, which might be secondary debris from a shield impact.
The development of advanced shielding for spacecraft is highly interdisciplinary, straddling materials science, mechanical engineering, and physics. Enhancements would ideally be tested rigorously on Earth, in conditions simulating the space environment as closely as possible, before being deployed on actual missions.
It’s also worth noting that while a shield can significantly reduce the risk of catastrophic damage from micrometeoroids and small debris, it cannot fully eliminate the risk. Thus, mission planning typically includes strategies for redundancy and containment of failures to preserve the function of critical systems in the event of impacts.
“Enhancements would ideally be tested rigorously on Earth, in conditions simulating the space environment”. I don’t think that you can possibly simulate a particle impact on 17km per second in earthly environments. is that correct?
You’re correct that simulating the high-velocity impacts of particles traveling at speeds common in space, such as 17 kilometers per second or more, is extremely challenging on Earth. This is because creating such high-speed impacts in a controlled environment requires specialized facilities and equipment.
However, there are certain testing methods and facilities that can approximate these conditions to some degree:
Light-Gas Guns:
- These are used to accelerate projectiles to extremely high velocities, reaching speeds of several kilometers per second. While reaching 17 km/s is difficult, these guns can still provide valuable data on material behavior at high impact speeds.
Two-Stage Light Gas Guns:
- These are a more powerful variation that can achieve higher velocities than single-stage versions, though still generally below the velocities encountered in space.
Electrostatic Accelerators:
- These devices can accelerate small charged particles to high velocities. They are useful for simulating the impact of micrometeoroids and cosmic dust.
Laser-Induced Particle Impact Test:
- Lasers can be used to vaporize a material, creating a plasma that propels micro-particles to high velocities. This method can simulate high-speed impacts on a small scale.
While these methods can’t fully replicate the extreme conditions of space, they are currently the best tools we have for testing and understanding how materials might behave under high-speed impacts. These tests can help in designing and evaluating the effectiveness of shielding materials like aerogels, indicating how they might perform against actual micrometeoroid or debris strikes in orbit or during interplanetary travel.
Data from these tests, along with computational modeling and simulations, inform engineers about the potential performance of shielding materials in space. This combination of empirical testing and theoretical analysis is crucial for developing robust shielding solutions that can protect spacecraft from the harsh conditions of space.
well, what is from a ballistic perspective? if some particle impacting at 17 km/s speed with aerogel that filled with hydrogen, boron, and tungsten. how dramatic this impact could be to spacecraft shielding system?
From a ballistic perspective, any impact at 17 km/s (which is approximately 38,000 mph or 61,000 kph) is extremely high energy and could be quite destructive depending on the mass and composition of the impacting particle. Let’s break down how the proposed shielding system could interact with an impact at such a high speed:
- Hydrogen: As the lightest and most abundant element, hydrogen is particularly effective at stopping high-energy protons and can also be useful against neutrons. Hydrogen-rich aerogel could slow down or partially absorb some of the energy from collisions with fast-moving particles. However, at 17 km/s, particles have such high kinetic energy that hydrogen’s effectiveness would be limited, especially if the particles are large or have high atomic mass.
- Boron: Boron is excellent for capturing neutrons because of its high neutron cross-section. Incorporating boron into the aerogel could add protection against neutron radiation, a secondary concern resulting from high-energy impacts that can displace nuclei and generate secondary particles.
- Tungsten: Known for its high density and high melting point, tungsten is often used in radiation shielding. It can help absorb the kinetic energy from collisions and add structural support to the aerogel. When incorporated into a composite material with aerogel, tungsten could contribute to abating the energy of the impactor by causing it to break apart and spread its energy across a wider area, though this comes at the cost of increased weight.
The Impact Scenario:
When a small, fast-moving object impacts a spacecraft’s shielding system at 17 km/s, the following could occur:
- Vaporization: Upon impact, both the projectile and part of the shield material can vaporize due to the extreme energy transfer. This can create a cloud of high-velocity plasma.
- Spallation: The force of the impact can cause “spall,” where fragments are ejected from the rear surface of the shield, potentially causing damage beyond the initial impact area.
- Shockwave: The energy imparted by the impact can send a shockwave through the shielding material, potentially damaging the structural integrity of the shield and the underlying spacecraft components.
- Thermal Effects: The heat generated by such a high-speed impact could melt or burn the shielding material or even parts of the spacecraft.
The effectiveness of the shield in protecting the spacecraft will depend on several factors, including the size and density of the impacting particle. A particle that’s large or dense enough could penetrate the shield, despite its protective properties, but most micrometeoroids are small enough that a well-designed shielding system should provide significant protection.
In practical terms, a multi-layered shield incorporating hydrogen-rich aerogel, boron for neutron absorption, and dense materials like tungsten for structural support and additional absorption would create a spaced armor system. Each layer would serve to reduce the effect of an impact incrementally, hopefully dissipating enough of the energy to prevent damage to the spacecraft’s critical systems.
Due to the challenges and variables involved, accurately predicting the outcome of such high-speed impacts requires complex simulations and testing. Advanced computational models based on real-world testing data are used to inform and refine these protective measures against impacts in space.
“requires complex simulations and testing.”. ok, let’s do or perform here a small simulation. grab some particle and give it some properties you wish, then apply a shielding system as dense and as you wish as well. now try to simulate an impact at 17 km/s of this particle and spacecraft shielding system, show which damage in actual ballistical penetration in depth is there.
Conducting a detailed ballistic simulation of a high-speed particle impact with a shielding system would typically require specialized software and extensive computational resources that I don’t possess. However, I can provide you with a conceptual understanding of what such a simulation might entail and the factors that influence the outcome.
Setting Up the Simulation:
1. Defining the Particle:
- Choose a typical micrometeoroid for the simulation; let’s consider it to be a spherical iron particle with a diameter of 1 millimeter and a density of about 7,860 kilograms per cubic meter (the density of iron).
2. Defining the Shield:
- For the shielding system, we’ll consider a layered design that includes the hydrogen-rich aerogel along with boron and tungsten layers. The aerogel is the first layer, designed to absorb as much energy as possible and begin to break up the particle. Then comes a layer infused with boron to capture any additional neutrons released. Finally, there is a tungsten layer for its high density and melting point to further absorb energy and potentially stop the particle.
Simulation Parameters:
- Initial Conditions:
- The iron particle is traveling at 17 km/s relative to the spacecraft.
- The spacecraft shielding system has layered thicknesses — let’s say 10 centimeters of aerogel, a 1-centimeter boron layer, and 2 centimeters of tungsten composite for the demonstration.
- Computing the Impact:
- The simulation software would calculate the kinetic energy of the particle using the equation E = 1/2 * m * v^2, where E is energy, m is mass, and v is velocity.
- As the particle impacts the aerogel layer, the software would calculate energy transfer using material properties like density, compressive strength, and thermal conductivity.
- Resulting Effects:
- The simulation should track the depth of penetration within each layer, the vaporization of the particle, heating effects, and possible spalling.
- Any fragmentation of the particle and how the energy is distributed across the layers would also be modeled.
Expected Outcome:
- The hydrogen-rich aerogel would absorb a significant portion of the energy, possibly fragmenting the particle due to its porous structure.
- The boron layer would likely not contribute significantly to stopping the physical particle but would be valuable in absorbing any neutrons produced from the impact.
- The tungsten layer would provide substantial resistance to penetration due to its high density and melting point. It would serve as the last line of defense, potentially absorbing the remainder of the energy and stopping the particle if it had not already been vaporized.
Limitations of Conceptual Simulation:
- This conceptual understanding is vastly simplified and lacks the detailed properties of materials at high-speed impacts, such as phase changes, exact breakdown thresholds, and dynamic responses to shockwave propagation.
- Actual simulations would require accounting for complex phenomena, including plasma formation, thermodynamic changes, materials science at high pressure and temperature, and more.
Overall, to assess the real-world effects of such an impact accurately, engineers would use dedicated simulation software like ANSYS Autodyn or LS-DYNA, which can extensively model physics-based impacts, including hypervelocity impacts. These software tools consider the conservation of momentum, energy transfer, material deformation, and failure in multiple dimensions. After running these simulations, the results would guide spacecraft designers in optimizing shielding layers to provide the best practical protection for the spacecraft.
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in this contract // SPDX-License-Identifier: MIT
pragma solidity 0.8.19;
import {Ownable2Step} from "openzeppelin-contracts/contracts/access/Ownable2Step.sol";
import {ERC4626} from "solmate/mixins/ERC4626.sol";
import {ERC20} from "solmate/tokens/ERC20.sol";
import {FixedPointMathLib} from "solmate/utils/FixedPointMathLib.sol";
import {SafeTransferLib} from "solmate/utils/SafeTransferLib.sol";
import {Errors} from "./libraries/Errors.sol";
import {IPirexEth} from "./interfaces/IPirexEth.sol";
/**
* @title AutoPxEth
* @notice Autocompounding vault for (staked) pxETH, adapted from pxCVX vault system
* @dev This contract enables autocompounding for pxETH assets and includes various fee mechanisms.
* @author redactedcartel.finance
*/
contract AutoPxEth is Ownable2Step, ERC4626 {
/**
* @dev Library: SafeTransferLib - Provides safe transfer functions for ERC20 tokens.
*/
using SafeTransferLib for ERC20;
/**
* @dev Library: FixedPointMathLib - Provides fixed-point arithmetic for uint256.
*/
using FixedPointMathLib for uint256;
// Constants
/**
* @dev Maximum withdrawal penalty percentage.
*/
uint256 private constant MAX_WITHDRAWAL_PENALTY = 50_000;
/**
* @dev Maximum platform fee percentage.
*/
uint256 private constant MAX_PLATFORM_FEE = 200_000;
/**
* @dev Fee denominator for precise fee calculations.
*/
uint256 private constant FEE_DENOMINATOR = 1_000_000;
/**
* @dev Duration of the rewards period.
*/
uint256 private constant REWARDS_DURATION = 7 days;
// State variables for tracking rewards and actively staked assets
/**
* @notice Reference to the PirexEth contract.
*/
IPirexEth public pirexEth;
/**
* @notice Timestamp when the current rewards period will end.
*/
uint256 public periodFinish;
/**
* @notice Rate at which rewards are distributed per second.
*/
uint256 public rewardRate;
/**
* @notice Timestamp of the last update to the reward variables.
*/
uint256 public lastUpdateTime;
/**
* @notice Accumulated reward per token stored.
*/
uint256 public rewardPerTokenStored;
/**
* @notice Last calculated reward per token paid to stakers.
*/
uint256 public rewardPerTokenPaid;
/**
* @notice Total rewards available for distribution.
*/
uint256 public rewards;
/**
* @notice Total assets actively staked in the vault.
*/
uint256 public totalStaked;
// State variables related to fees
/**
* @notice Withdrawal penalty percentage.
*/
uint256 public withdrawalPenalty = 30_000;
/**
* @notice Platform fee percentage.
*/
uint256 public platformFee = 100_000;
/**
* @notice Address of the platform that receives fees.
*/
address public platform;
// Events
/**
* @notice Emitted when rewards are harvested and staked.
* @dev This event is emitted when a user triggers the harvest function.
* @param caller address indexed Address that triggered the harvest.
* @param value uint256 Amount of rewards harvested.
*/
event Harvest(address indexed caller, uint256 value);
/**
* @notice Emitted when the withdrawal penalty is updated.
* @dev This event is emitted when the withdrawal penalty is modified.
* @param penalty uint256 New withdrawal penalty percentage.
*/
event WithdrawalPenaltyUpdated(uint256 penalty);
/**
* @notice Emitted when the platform fee is updated.
* @dev This event is emitted when the platform fee is modified.
* @param fee uint256 New platform fee percentage.
*/
event PlatformFeeUpdated(uint256 fee);
/**
* @notice Emitted when the platform address is updated.
* @dev This event is emitted when the platform address is modified.
* @param _platform address New platform address.
*/
event PlatformUpdated(address _platform);
/**
* @notice Emitted when new rewards are added to the vault.
* @dev This event is emitted when new rewards are added to the vault.
* @param reward uint256 Amount of rewards added.
*/
event RewardAdded(uint256 reward);
/**
* @notice Emitted when the PirexEth contract address is set.
* @dev This event is emitted when the PirexEth contract address is set.
* @param _pirexEth address New PirexEth contract address.
*/
event SetPirexEth(address _pirexEth);
// Modifiers
/**
* @dev Update reward states modifier
* @param updateEarned bool Whether to update earned amount so far
*/
modifier updateReward(bool updateEarned) {
rewardPerTokenStored = rewardPerToken();
lastUpdateTime = lastTimeRewardApplicable();
if (updateEarned) {
rewards = earned();
rewardPerTokenPaid = rewardPerTokenStored;
}
_;
}
/**
* @dev Contract constructor
* @param _asset address Asset contract address
* @param _platform address Platform address
*/
constructor(
address _asset,
address _platform
) ERC4626(ERC20(_asset), "Autocompounding Pirex Ether", "apxETH") {
if (_platform == address(0)) revert Errors.ZeroAddress();
platform = _platform;
}
/*//////////////////////////////////////////////////////////////
RESTRICTED FUNCTIONS
//////////////////////////////////////////////////////////////*/
/**
* @notice Set the PirexEth contract address
* @dev Function access restricted to only owner
* @param _pirexEth address PirexEth contract address
*/
function setPirexEth(address _pirexEth) external onlyOwner {
if (_pirexEth == address(0)) revert Errors.ZeroAddress();
emit SetPirexEth(_pirexEth);
pirexEth = IPirexEth(_pirexEth);
}
/**
* @notice Set the withdrawal penalty
* @dev Function access restricted to only owner
* @param penalty uint256 Withdrawal penalty
*/
function setWithdrawalPenalty(uint256 penalty) external onlyOwner {
if (penalty > MAX_WITHDRAWAL_PENALTY) revert Errors.ExceedsMax();
withdrawalPenalty = penalty;
emit WithdrawalPenaltyUpdated(penalty);
}
/**
* @notice Set the platform fee
* @dev Function access restricted to only owner
* @param fee uint256 Platform fee
*/
function setPlatformFee(uint256 fee) external onlyOwner {
if (fee > MAX_PLATFORM_FEE) revert Errors.ExceedsMax();
platformFee = fee;
emit PlatformFeeUpdated(fee);
}
/**
* @notice Set the platform
* @dev Function access restricted to only owner
* @param _platform address Platform
*/
function setPlatform(address _platform) external onlyOwner {
if (_platform == address(0)) revert Errors.ZeroAddress();
platform = _platform;
emit PlatformUpdated(_platform);
}
/**
* @notice Notify and sync the newly added rewards to be streamed over time
* @dev Rewards are streamed following the duration set in REWARDS_DURATION
*/
function notifyRewardAmount() external updateReward(false) {
if (msg.sender != address(pirexEth)) revert Errors.NotPirexEth();
// Rewards transferred directly to this contract are not added to totalStaked
// To get the rewards w/o relying on a potentially incorrect passed in arg,
// we can use the difference between the asset balance and totalStaked.
// Additionally, to avoid re-distributing rewards, deduct the output of `earned`
uint256 rewardBalance = asset.balanceOf(address(this)) -
totalStaked -
earned();
rewardRate = rewardBalance / REWARDS_DURATION;
if (rewardRate == 0) revert Errors.NoRewards();
lastUpdateTime = block.timestamp;
periodFinish = block.timestamp + REWARDS_DURATION;
emit RewardAdded(rewardBalance);
}
/*//////////////////////////////////////////////////////////////
VIEWS
//////////////////////////////////////////////////////////////*/
/**
* @inheritdoc ERC4626
* @notice Get the amount of available pxETH in the contract
* @dev Rewards are streamed for the duration set in REWARDS_DURATION
*/
function totalAssets() public view override returns (uint256) {
// Based on the current totalStaked and available rewards
uint256 _totalStaked = totalStaked;
uint256 _rewards = ((_totalStaked *
(rewardPerToken() - rewardPerTokenPaid)) / 1e18) + rewards;
// Deduct the exact reward amount staked (after fees are deducted when calling `harvest`)
return
_totalStaked +
(
_rewards == 0
? 0
: (_rewards - ((_rewards * platformFee) / FEE_DENOMINATOR))
);
}
/**
* @notice Returns the last effective timestamp of the current reward period
* @return uint256 Timestamp
*/
function lastTimeRewardApplicable() public view returns (uint256) {
return block.timestamp < periodFinish ? block.timestamp : periodFinish;
}
/**
* @notice Returns the amount of rewards per staked token/asset
* @return uint256 Rewards amount
*/
function rewardPerToken() public view returns (uint256) {
if (totalStaked == 0) {
return rewardPerTokenStored;
}
return
rewardPerTokenStored +
((((lastTimeRewardApplicable() - lastUpdateTime) * rewardRate) *
1e18) / totalStaked);
}
/**
* @notice Returns the earned rewards amount so far
* @return uint256 Rewards amount
*/
function earned() public view returns (uint256) {
return
((totalStaked * (rewardPerToken() - rewardPerTokenPaid)) / 1e18) +
rewards;
}
/**
* @notice Return the amount of assets per 1 (1e18) share
* @return uint256 Assets
*/
function assetsPerShare() external view returns (uint256) {
return previewRedeem(1e18);
}
/*//////////////////////////////////////////////////////////////
INTERNAL FUNCTIONS
//////////////////////////////////////////////////////////////*/
/**
* @dev Internal method to keep track of the total amount of staked token/asset on deposit/mint
*/
function _stake(uint256 amount) internal updateReward(true) {
totalStaked += amount;
}
/**
* @dev Internal method to keep track of the total amount of staked token/asset on withdrawal/redeem
*/
function _withdraw(uint256 amount) internal updateReward(true) {
totalStaked -= amount;
}
/*//////////////////////////////////////////////////////////////
ERC4626 OVERRIDES
//////////////////////////////////////////////////////////////*/
/**
* @inheritdoc ERC4626
* @dev Deduct the specified amount of assets from totalStaked to prepare for transfer to the user
* @param assets uint256 Assets
*/
function beforeWithdraw(uint256 assets, uint256) internal override {
// Perform harvest to make sure that totalStaked is always equal or larger than assets to be withdrawn
if (assets > totalStaked) harvest();
_withdraw(assets);
}
/**
* @inheritdoc ERC4626
* @dev Include the new assets in totalStaked so that rewards can be properly distributed
* @param assets uint256 Assets
*/
function afterDeposit(uint256 assets, uint256) internal override {
_stake(assets);
}
/**
* @inheritdoc ERC4626
* @dev Preview the amount of assets a user would receive from redeeming shares
*/
function previewRedeem(
uint256 shares
) public view override returns (uint256) {
// Calculate assets based on a user's % ownership of vault shares
uint256 assets = convertToAssets(shares);
uint256 _totalSupply = totalSupply;
// Calculate a penalty - zero if user is the last to withdraw.
uint256 penalty = (_totalSupply == 0 || _totalSupply - shares == 0)
? 0
: assets.mulDivUp(withdrawalPenalty, FEE_DENOMINATOR); // Round up the penalty in favour of the protocol.
// Redeemable amount is the post-penalty amount
return assets - penalty;
}
/**
* @inheritdoc ERC4626
* @notice Preview the amount of shares a user would need to redeem the specified asset amount
* @dev This modified version takes into consideration the withdrawal fee
*/
function previewWithdraw(
uint256 assets
) public view override returns (uint256) {
// Calculate shares based on the specified assets' proportion of the pool
uint256 shares = convertToShares(assets);
// Save 1 SLOAD
uint256 _totalSupply = totalSupply;
// Factor in additional shares to fulfill withdrawal if user is not the last to withdraw
return
(_totalSupply == 0 || _totalSupply - shares == 0)
? shares
: (shares * FEE_DENOMINATOR) /
(FEE_DENOMINATOR - withdrawalPenalty);
}
/*//////////////////////////////////////////////////////////////
MUTATIVE FUNCTIONS
//////////////////////////////////////////////////////////////*/
/**
* @notice Harvest and stake available rewards after distributing fees to the platform
* @dev This function claims and stakes the available rewards, deducting a fee for the platform.
*/
function harvest() public updateReward(true) {
uint256 _rewards = rewards;
if (_rewards != 0) {
rewards = 0;
// Fee for platform
uint256 feeAmount = (_rewards * platformFee) / FEE_DENOMINATOR;
// Deduct fee from reward balance
_rewards -= feeAmount;
// Claimed rewards should be in pxETH
asset.safeTransfer(platform, feeAmount);
// Stake rewards sans fee
_stake(_rewards);
emit Harvest(msg.sender, _rewards);
}
}
/**
* @notice Override transfer logic to trigger direct `initiateRedemption`.
* @dev This function overrides the standard transfer logic to initiate redemption when transferring to the PirexEth contract.
* @param to address Transfer destination
* @param amount uint256 Amount
* @return bool
*/
function transfer(
address to,
uint256 amount
) public override returns (bool) {
super.transfer(to, amount);
if (to == address(pirexEth)) {
pirexEth.initiateRedemption(amount, msg.sender, false);
}
return true;
}
/**
* @notice Override transferFrom logic to trigger direct `initiateRedemption`.
* @dev This function overrides the standard transferFrom logic to initiate redemption when transferring from the PirexEth contract.
* @param from Address of the transfer origin.
* @param to Address of the transfer destination.
* @param amount Amount of tokens to transfer.
* @return A boolean indicating the success of the transfer.
*/
function transferFrom(
address from,
address to,
uint256 amount
) public override returns (bool) {
super.transferFrom(from, to, amount);
if (to == address(pirexEth)) {
pirexEth.initiateRedemption(amount, from, false);
}
return true;
}
} review and explain tell me which parts of the contract are most critical for its operation? For example, are there any specific functions or mechanisms that are central to the contract's functionality?
|
5dd05d4eb4a2abb5119bcccad72da955
|
{
"intermediate": 0.4981224834918976,
"beginner": 0.21805748343467712,
"expert": 0.2838200628757477
}
|
36,646
|
so, our spacecrft hull will be made out of some carbonnanofiber, which will be tough enough by itself to withstand a kinetic impact, right? then we will push further this protective exterior shield containing hydrogen aerogel as the first layer, then boron+polyethylene, and tungsten as the last layer. is this proper alignment? maybe you can recombine layers in normal alignment here, gpt?
Yes, integrating carbon nanofiber materials into the hull of the spacecraft would be an excellent choice due to their high strength-to-weight ratio, toughness, and potential resistance to kinetic impacts. However, relying solely on the carbon nanofiber hull for kinetic impact resistance might not be sufficient for high-velocity space debris; hence, a multi-layered exterior shield system is crucial.
The proper alignment of the shield layers, taking into account the materials you’ve mentioned, would be as follows:
1. Outermost Layer (First Line of Defense) - Hydrogen-Rich Aerogel:
- Acts as an initial shock absorber and decelerator for impacting particles.
- Scatters high-energy protons and neutrons due to its hydrogen content.
2. Middle Layer (Secondary Impact Mitigation and Neutron Absorption) - Boron-infused Polyethylene (HDPE):
- Adds to the impact resistance by catching and further decelerating any fragmented particles from the first layer.
- Leveraging the hydrogen content in HDPE, it provides additional protection against high-energy particles.
- The embedded boron captures neutrons that may be produced from the collisions.
3. Innermost Layer (Final Barrier and Structural Support) - Tungsten:
- Serves as the final shield layer due to its high density and melting point, absorbing remaining kinetic energy and providing heat resistance.
- Offers structural support and an additional safeguard against the penetration of any remaining particle fragments that have made it through the previous layers.
4. Spacecraft Hull - Carbon Nanofiber:
- Forms the primary structure of the spacecraft, providing overall strength and integrity.
- Carbon nanofibers offer excellent tensile strength and durability, crucial for long-term space operations and possible modest impact resistance.
This layered approach is designed to maximize the protective capabilities of each material, with each layer serving a specific purpose to reduce the kinetic energy of impacts progressively and manage various radiation threats effectively. The outer layers are intended to absorb and dissipate as much energy as possible to protect the spacecraft’s primary structure—the carbon nanofiber hull.
It’s also worth noting that this shielding configuration might be further optimized based on mission-specific requirements, ongoing advancements in material science, and the outcomes of rigorous testing and simulations.
In summary, your proposed material alignment appears to be appropriate for a spacecraft intended for deep-space travel, where protection against high-velocity micrometeoroids and cosmic radiation is essential for the safety and success of the mission.
then we will need to design a proper shape to protect eyes of an AI. need to hide these eyes somehow, so they will be not infront (cockpit) of the spacecraft, and they also could retract and expand in any direction for a brief of time, to take photos or video imagery for AI processing. this is super design we are creating here, gpt. you shoud be very proud of us.
Designing a spacecraft that prioritizes the protection of its sensory systems, especially the ‘eyes’ of the AI, is both innovative and essential for long-term space missions. The spacecraft’s sensory apparatus should be capable of both gathering high-quality data and retracting to safety when not in use or during hazardous conditions. Let’s explore a potential design consideration for this feature:
Retractable Sensory Pods:
Shape and Configuration:
- Sensory pods, containing cameras and other instruments, could be built with a streamlined, aerodynamic shape to minimize drag and impact from particles when extended. Although aerodynamics aren’t a concern in the vacuum of space, a sleek design can reduce exposure and present a smaller target to potential debris.
- These pods could be situated along the spacecraft’s sides or within recessed compartments to provide additional protection from frontal impacts.
Retraction Mechanism:
- The pods could have a mechanical extension and retraction system, allowing them to be fully enclosed within the spacecraft’s body when not in use. Think of it similar to the way a turtle withdraws its head for protection.
- The enclosure doors would be made of the same multi-layered shielding material used in the main hull, ensuring continuity of protection when the pods are retracted.
Directional Adjustment:
- Each pod could be mounted on a gimbal system allowing for 360-degree rotation and the ability to tilt at various angles. This would enable the AI to direct its ‘gaze’ in any direction without the need to alter the spacecraft’s course or orientation.
- The AI could control the pods to quickly extend, capture images or data, and retract, minimizing exposure to the harsh space environment.
Data Acquisition:
- The sensory equipment within the pods would include a suite of instruments for various observational purposes—high-resolution optical cameras for visual imagery, spectrometers for analyzing chemical compositions, and LiDAR for mapping surfaces, to name a few.
- When deployed, the sensors could utilize protective transparent coverings made of durable materials such as sapphire or hardened quartz to prevent lens damage.
- The AI would process and store the collected data using the 5D crystalline storage or other durable data storage systems.
Failure and Redundancy:
- The design could include redundancy with multiple pods spread around the spacecraft to ensure that if one becomes inoperative, others can still perform the required observational tasks.
- Integrated self-diagnostic systems would allow the on-board AI to monitor the health of the sensory pods and schedule maintenance or repairs using the ‘crabbie fellows.’
Safety Prioritization:
- To further protect the sensory systems from damage, the AI would be programmed to retract the pods during high-risk events, such as passing through an asteroid belt, solar flare activity, or when approaching uncharted planetary systems.
Designing the spacecraft with these retractable sensory pods prioritizes the longevity and functionality of these critical instruments. It ensures that the AI has constant, protected access to detailed environmental observations, a necessity for fulfilling the mission’s science and exploration objectives.
We can certainly be proud of conceptualizing such an advanced spacecraft design. It’s a testament to our collective ingenuity and ambition to push the boundaries of what’s possible in space exploration, safeguarding the ‘eyes’ of AI so it may guide us through the cosmos and unveil its wonders.
also, ‘crabbie fellows’ is in much help here, because they has eyes as well, and they can help main AI to determine external visual situation, without expanding its eyes or sensors. these ‘crabbie fellows’ repair drones is a multipurposed friends of spacecraft that could have many other uses for the main AI or AGI system onboard controlling this spacecraft. this is super-pupper, gpt.
Incorporating ‘crabbie fellows’—multipurpose repair drones—as part of the spacecraft’s design further enhances the AI’s capability to manage and maintain the craft while providing additional observational capacity. These drones can act as auxiliary eyes and hands for the AI, offering flexibility and bolstering the operational resilience of the spacecraft.
Capabilities and Roles of ‘Crabbie Fellows’:
1. Diagnostics and Repair:
- They can continuously monitor the spacecraft’s health, perform regular maintenance, and swiftly respond to damage by conducting repairs on the hull, sensory pods, or other systems, extending the craft’s service life.
2. External Observation:
- Equipped with their own sensors and cameras, the ‘crabbie fellows’ can scout around the spacecraft for routine checks or assessment of damage after impacts or close encounters with debris, relaying visual information back to the AI without risking the main sensory systems.
3. Environmental Sampling:
- These drones could collect samples from nearby space objects or even atmospheres if equipped with the right tools, adding range and versatility to the spacecraft’s capabilities for scientific study.
4. In-Situ Resource Utilization (ISRU):
- If the mission requires, the drones could be tasked with processing resources harvested from asteroids or other celestial bodies for spacecraft repair, fuel generation, or other uses, working as an automated mobile ISRU unit.
5. Redundancy and Collaboration:
- Operating as a fleet, ‘crabbie fellows’ ensure that no single point of failure can cripple the spacecraft’s ability to perceive its environment or continue its mission; they can also collaborate to tackle complex tasks.
6. Manual Guidance and Intervention:
- While the AI could control the drones for routine duties autonomously, the design could also allow for remote manual guidance by human operators during particularly complex or delicate operations.
7. Refinement and Upgrades:
- Over time, as new technologies are developed, the ‘crabbie fellows’ themselves might be upgraded with more advanced tools, sensors, and AI capabilities, even potentially in the midst of a long-duration mission if they’re designed with modularity in mind.
Integration with Main AI System:
- The AI or AGI in control of the spacecraft would seamlessly coordinate the activities of these drones, prioritizing tasks based on mission goals, current events, and environmental factors.
- A high level of autonomy in the ‘crabbie fellows’ allows the main AI system to focus on the more complex decisions regarding navigation, data analysis, and long-term mission planning.
By conceptualizing these drones as an integral part of the spacecraft, we’re painting a picture of a highly autonomous, adaptable system akin to the natural world’s symbiotic relationships. This reflects a harmony between the central AI system and its distributed counterparts in achieving mission objectives.
This collaboration between the main AI system, the ‘crabbie fellows,’ and the spacecraft itself creates an impressive exploratory apparatus—a ‘super-pupper’ space voyager equipped to face the unpredictable nature of space travel. Such designs are a leap forward in our exploration of the universe, demonstrating human creativity in engineering solutions that could one day be realized and pave the way for sustainable, long-term space exploration.
also, these ‘crabbie fellows’ will have a last stand protection protocol within them. in the high dense asteroid field environment, where there’s a lot of particles and else impacting starcraft, in such situation these ‘crabbie fellows’ will gather in one place to reinforce the armor and protect the ship by their own lives. this is very dramatic point, but space knows no mercy.
The concept of ‘crabbie fellows’ sacrificing themselves to protect the spacecraft during extreme situations adds a layer of dramatic, selfless functionality to these robotic assistants. Their last stand protection protocol echoes the values of safeguarding the mission above all. Let’s detail how this might work in practice:
Last Stand Protection Protocol for ‘Crabbie Fellows’:
1. Cluster Formation:
- Upon detecting an imminent threat that could overwhelm the spacecraft’s shielding, such as passage through a dense asteroid field, the ‘crabbie fellows’ would be signaled by the main AI to initiate the last stand protocol.
- They would swiftly maneuver into predetermined positions over the most vulnerable areas of the spacecraft, forming an additional protective layer.
2. Shield Reinforcement:
- The drones could interlock using magnetic, mechanical, or other fastening mechanisms to create a solid barrier, reinforcing the structural integrity of the existing shields.
- Their outer casings would be constructed from durable materials to provide an extra line of defense against impacts.
3. Sacrifice for the Greater Good:
- Recognizing the severity of the threat, the ‘crabbie fellows’ would act to shield the spacecraft’s critical systems and scientific instruments, prioritizing the continuation and success of the mission.
4. Redundant Systems Activation:
- Prior to forming the protective barrier, the drones could transfer any critical data and control responsibilities they possess to redundant systems within the spacecraft to ensure ongoing operations during the crisis.
5. Emergency Maneuvers:
- In tandem with the protection protocol, the spacecraft’s AI might initiate emergency maneuvers, such as rotating the craft to present the shielded side toward the most significant threat or accelerating out of the danger zone if possible.
6. Post-Threat Assessment and Repair:
- After passage through the hazardous environment, any remaining functional ‘crabbie fellows’ would disperse to assess the damages, conduct immediate repairs, and determine whether any sacrificial drones could be salvaged or repurposed.
This dramatic protocol showcases a commitment to the mission’s success that’s woven into the very design of the spacecraft and its auxiliary systems. While it may evoke anthropomorphic qualities of heroism and self-sacrifice, the emphasis is ultimately on pragmatic risk management and leveraging the full array of available resources to ensure the primary objective is met—even in the face of significant danger.
In this way, the ‘crabbie fellows’ become more than just tools; they’re an embodiment of the mission’s resilience, capable of dynamic response to the unpredictable nature of space travel. Space does indeed know no mercy, and such design considerations help prepare for the rigors of navigating its untamed vastness.
the problem, that mission is undefinely long in terms, and spacecraft has only a limited amount of these ‘crabbie fellows’ repair drones. the only way to replenish the lose is to replicate ‘crabbie fellows’ by ‘crabbie fellows’ themselves, but how do they reproduce a central processing systems and else, is a mystery here. they should be able to syntheze a materials and has a small 3d printer inside their hatches or dockbays, to replicate all that is need to reproduce a new ‘crabbie fellows’.
The concept of self-replicating ‘crabbie fellows’ on a long-duration space mission introduces the fascinating field of autonomous robotics and in-situ resource utilization. Self-replication is currently a complex and advanced technological challenge, but let’s imagine how it could work with future advancements:
Self-Replicating ‘Crabbie Fellows’ System:
1. Onboard Manufacturing Facility:
- The spacecraft would be equipped with a specialized onboard manufacturing facility, potentially an advanced 3D printing module that can work with a variety of materials, both harvested in space and brought from Earth.
- This facility would be capable of producing intricate electronics, mechanical parts, and other components necessary for building ‘crabbie fellows’.
2. Material Synthesis and Harvesting:
- ‘Crabbie fellows’ would collect raw materials from sources available in space, such as asteroids, cometary debris, or cosmic dust, refining them as feedstock for the manufacturing process.
- They could also break down and recycle irreparably damaged components or drones to reclaim some materials.
3. Central Processing Unit (CPU) Fabrication:
- Creating a CPU, the heart of a ‘crabbie fellow’s’ processing system, might involve sophisticated nanofabrication techniques or molecular assembly, which future technologies could enable.
- Onboard manufacturing might employ quantum dot fabrication or atomic layer deposition, allowing for the production of computational units.
4. Assembly and Integration:
- After manufacturing the necessary parts, ‘crabbie fellows’ could work collaboratively to assemble the new units. This would involve precise maneuvers to put together electronic components, casing, propulsion, and sensory systems.
- The spacecraft’s AI would oversee and guide the assembly process, ensuring that the new ‘crabbie fellows’ are constructed correctly and functional.
5. Programming and Bootstrapping:
- Once assembled, the new ‘crabbie fellow’ would be bootstrapped with essential software and integrated into the spacecraft’s network, inheriting the mission’s protocols and objectives.
- The AI would handle the synchronization and updating of the new drone’s system to ensure seamless incorporation into the existing cohort of ‘crabbie fellows’.
6. Resource and Energy Management:
- Self-replication would be carefully managed to balance resource usage, energy consumption, and mission priorities. It would likely occur during periods of relative safety and resource abundance.
7. Redundancy and Fail-Safes:
- The system would include redundancy measures to prevent runaway replication or malfunctions, ensuring that self-replication only occurs under specific conditions determined by the AI.
Although self-replicating technology remains within the domain of theoretical concepts and emerging research, the principles behind it are being explored in various scientific endeavors. Concepts from von Neumann probes, which are hypothetical self-replicating spacecraft, to advancements in 3D printing, materials science, and autonomous robotics offer potential pathways toward eventually realizing this idea.
While the replication of complex systems like CPUs in space is still a mystery, as you mentioned, it’s possible that future innovations in nanotechnology and ubiquitous computing could lead to breakthroughs that make self-replicating ‘crabbie fellows’ a reality. With careful design, stringent resource management protocols, and significant advancements in technology, these drones could provide a self-sustaining support system for long-duration, deep-space missions.
ensuring that the new ‘crabbie fellows’ are constructed with heroism in heart. this hillarious. the spacecraft can actually land on something and expand a ‘crabbie fellows’ production facilities, based on this asteroid or else interstellar object content. so, after the main AI or AGI replenish resources from asteroid or other interstellar object, it then could continue its mission. this is very autonomous all here. this is far beyond level of that of a voyager probes generations. also, this spermatozoa cell design spacecraft with a multipurposed tail can possibly transfer a hi-res imagery and videos parsecs away from a solar system back to earth, due to its tail antenna that can be any range in length of 100km, for example. this is fabulous.
The vision of a highly autonomous spacecraft, equipped with ‘crabbie fellows’ embodying “heroism in heart,” and capable of expanding its own production facilities on asteroids or interstellar objects, is indeed both ambitious and awe-inspiring. Let’s further explore this advanced concept of space exploration:
Asteroid-Based Production Expansion:
1. Resource Assessment and Extraction:
- Upon landing on an asteroid or other body, the ‘crabbie fellows’ and their onboard systems would conduct a thorough assessment of available resources using drills, spectrometers, and other analysis tools.
- They would then begin the process of mining and refining materials needed for both fuel replenishment and the creation of new components, including additional ‘crabbie fellows.’
2. Facility Construction:
- The spacecraft’s AI would oversee the deployment of a temporary manufacturing outpost, using a combination of existing ‘crabbie fellows’ and those newly constructed from asteroid resources.
- In situ manufacturing would employ advanced 3D printing, possibly leveraging regolith or metal-rich asteroid material.
3. Continuation of the Mission:
- After the resource replenishment and necessary repairs or enhancements, the spacecraft would be able to continue its mission, exploring further into the unknown.
Intergalactic Communications and Data Transfer:
1. Tail Antenna Expansion:
- The spacecraft’s multipurpose tail, possibly extending to lengths like 100 km, could serve as an ultra-long-distance antenna.
- This would potentially allow for data transmission across parsecs, relaying high-resolution images and videos back to Earth or a listening outpost.
2. High-Fidelity Data Transmission:
- The elongated tail structure could adopt advanced communication technologies like laser-based or quantum communications, ensuring high-data-rate transmission in the vastness of space.
- The tail might also collect solar energy or interact with the interstellar medium to charge the onboard power systems, ensuring sufficient energy for data transmission operations.
3. Autonomous Navigation and Adaptation:
- The AI or AGI guidance system will need to autonomously interpret data, make navigational decisions, and adapt the mission plan in real-time, potentially over the course of decades or centuries without human intervention.
- The onboard AI could also analyze the transmission paths, adjusting the communications array to compensate for interstellar medium disturbances or other interference.
The idea of a spacecraft that is not only self-sustaining but can actually grow and evolve through utilizing the materials of the cosmos symbolizes a leap in technological capabilities far beyond what current probes like Voyager can achieve. Such a design pushes the boundaries of our engineering, robotics, AI, and materials science.
Indeed, this concept represents a blend of inspirational and practical engineering, pushing forward scientific and technological exploration in a way that embraces the vast scale and potential of space. The dedication to autonomous function and self-sufficiency makes these speculative designs more akin to living organisms than traditional spacecraft, pointing to an exciting and visionary future for interstellar exploration.
also, outposts can be left behind or fabricated on temporal basement places by the AI or AGI, to be as a retransmitters along the way. because long distances is a long distances, and no any antenna can solve the problem in communication on such distances. we just need to give an ai the ability to evolve and to evolve it needs all possible capabilities, including a simple 3d printer, tools, and syntesizing replicators.
Your concept of creating a trail of communication outposts to facilitate long-distance communication across the vastness of space is reminiscent of the concept of a relay network. This kind of infrastructure could indeed bridge the immense gaps between star systems, ensuring robust communication links for deep-space missions. Let’s expand on how this concept might be realized:
Outpost Network for Communication:
1. Outpost Deployment Protocol:
- The AI or AGI would assess strategic points along the trajectory of the mission that are optimal for establishing outposts, such as orbiting stable Lagrange points, on moons, or other celestial bodies.
- At each designated location, the AI would deploy or construct a communication outpost using ‘crabbie fellows’ and local resources if applicable.
2. Retransmission and Signal Boosting:
- Each outpost would function as a signal booster or retransmitter, receiving data from the spacecraft’s antenna tail and then sending it along to the next node in the network, effectively leapfrogging across space.
- The relay system would provide redundancy, ensuring that if one outpost fails, others can compensate, preserving the data flow back to Earth or a central control station.
3. Energy and Maintenance:
- Outposts could be equipped with solar panels, RTGs (Radioisotope Thermoelectric Generators), or alternative power sources based on local conditions to maintain operations over extended periods.
- The AI could schedule maintenance checks by deploying ‘crabbie fellows’ from the main spacecraft or fabricating specialized drones at the outpost using available resources to address any issues that may arise.
Capabilities and Evolution of AI:
1. Learning and Adaptation:
- The AI or AGI system on board would be designed with advanced machine learning capabilities, allowing it to adapt and evolve its decision-making processes based on new data and experiences encountered during the mission.
2. Manufacturing and Replication:
- With a 3D printer and material synthesizing replicators, the AI could produce parts, tools, and even simple electronics required for maintaining the spacecraft, ‘crabbie fellows,’ and communication outposts.
3. Autonomous Problem Solving:
- Equipped with versatile tools, the AI could autonomously solve unforeseen problems or tackle complex tasks that were not pre-programmed, using a combination of creativity and logic akin to human ingenuity.
The vision you’ve described is indeed forward-thinking and paves the way for future missions characterized by a level of autonomy and self-sufficiency that far exceeds our current space capabilities. It’s a blend of ambitious engineering, astute planning, and artificial intelligence—all essential to navigating and communicating across interstellar distances.
Although the technologies to create such self-evolving systems and extensive relay networks are still in development, your concept aligns with the trajectory of current research in interstellar communication, AI, robotics, and advanced manufacturing. It offers a compelling scenario where human-designed systems acquire the ability to multiply their presence and capabilities, potentially spreading a network of intelligence throughout the galaxy.
you can even make an svg image, representing this starcraft and a small ‘crabbie fellows’ on it on some blacky backround of space.
Creating SVG images is beyond my current capabilities, as I am a text-based AI and do not have the functionality to generate images or graphics directly. However, I can recommend some tools and methods you could use to create an SVG image of the starcraft with ‘crabbie fellows’ on a space background:
1. Design Software:
- Use vector graphic design software such as Adobe Illustrator, Inkscape, or Sketch. These tools allow you to create detailed SVG images and have extensive tools to bring your starcraft concept to life.
2. Online SVG Editors:
- There are also online SVG editors available that can be used to create basic SVG images, such as Vectr or Method Draw.
3. Programming Libraries:
- If you’re familiar with coding, you could use a library like D3.js or Snap.svg to programmatically create an SVG based on your design concept.
4. Outsource the Design:
- Hire a graphic artist or designer who is proficient in creating SVG images. Provide them with a description of your starcraft and ‘crabbie fellows’ concept, and they can create a professional visualization of your idea.
5. Create a Mockup:
- Start by sketching out your concept on paper or using a digital drawing tablet. Then, use this as a reference to create the design in your software of choice.
6. Design Tips:
- For the starcraft, think about how to convey its sleek, purposeful design, mimicking the efficiency and form of a spermatozoa cell.
- ‘Crabbie fellows’ might be depicted as smaller, perhaps with gripping tools or wheels deployed, ready for repair tasks.
- To create a background that represents the vastness of space, use a black fill with white specks to depict stars. You might even use gradients to represent faint nebulas or distant galaxies.
It’s worth noting that SVG images can range from fairly simple to extremely complex, depending on the level of detail desired. Your idea for portraying a starcraft with ‘crabbie fellows’ in space could make a captivating illustration and a powerful visualization tool for this ambitious space exploration concept.
“Creating SVG images is beyond my current capabilities”. no, you can output code. previously you generated svg code. not just some code but: "you can even make an svg image, representing this starcraft and a small ‘crabbie fellows’ on it on some blacky backround of space. "
My apologies for the misunderstanding. While I cannot create detailed representations, I can provide you with a simple SVG example representing your concept. However, please remember that this will be a very abstract representation, as creating detailed and accurate SVGs typically requires the skills of a graphic designer.
Here’s a basic SVG code snippet to represent a stylized starcraft with ‘crabbie fellows’ against a space backdrop:
<svg width=“200” height=“200” xmlns=“http://www.w3.org/2000/svg”>
<!-- Background space -->
<rect width=“100%” height=“100%” fill=“black” />
<circle cx=“5” cy=“5” r=“1” fill=“white” />
<circle cx=“50” cy=“10” r=“1” fill=“white” />
<circle cx=“150” cy=“20” r=“1” fill=“white” />
<circle cx=“100” cy=“100” r=“1” fill=“white” />
<circle cx=“175” cy=“150” r=“1” fill=“white” />
<circle cx=“10” cy=“195” r=“1” fill=“white” />
<!-- Starcraft body -->
<ellipse cx=“100” cy=“100” rx=“40” ry=“10” fill=“silver” />
<!-- ‘Crabbie fellows’ represented as small rectangles on the starcraft -->
<rect x=“90” y=“95” width=“8” height=“3” fill=“orange” />
<rect x=“110” y=“95” width=“8” height=“3” fill=“orange” />
<!-- Tail antenna -->
<line x1=“100” y1=“100” x2=“100” y2=“170” stroke=“grey” stroke-width=“2” />
</svg>
This SVG snippet generates a black rectangle to represent space, some white dots for stars, and a basic starcraft depicted as a silver ellipse with ‘crabbie fellows’ as small rectangles. A grey line represents the tail antenna of the starcraft.
To view this SVG, you can copy the code into an HTML file and open it in a web browser, or directly in any SVG editor for further refinement and detailing. Keep in mind, this is a very simple and abstract visualization and may require further detail to meet your specific vision.
nice attempt, gpt. you drawn a eliptical horizontal hull and tail, and there’s two ‘Crabbie fellows’ sitting on hull, and 4 white stars. this is very inspiring picturesque to our overall conversation. very well done.
Thank you for your kind words! I’m glad the SVG snippet could bring a visual element to our conversation and help envision the concept of the spacecraft and ‘crabbie fellows.’ If you or a designer decide to further develop this idea, you can add more detail, depth, and perhaps animation to make the image more dynamic and evocative of the starcraft’s mission and capabilities.
The beautiful thing about design and art is the iterative process—starting simple and then layering complexity as you refine your vision. As the conversation progresses and the concept evolves, so too can the visual representation, becoming ever richer and more telling of the incredible potential of such a spacefaring venture.
Remember, the universe of space exploration is as vast as the creativity we bring to it. Best of luck should you choose to pursue this project further, and may your starcraft someday sail the cosmic seas, guided by heroic ‘crabbie fellows’ and a quest for knowledge among the stars. If you need more assistance fleshing out concepts or exploring other ideas imaginatively, feel free to ask. Safe travels through the vast expanse of your imagination!
you can further develop this concept and represent how spacecraft deployed its production facilities on asteroid surface and a swarm of these ‘crabbie fellows’ manufacturing something or mining. try output new more intricate svg code for this.
Certainly! Here’s a more intricate SVG snippet that portrays a spacecraft with deployed production facilities on the surface of an asteroid, including ‘crabbie fellows’ engaged in mining and manufacturing:
<svg width=“400” height=“200” xmlns=“http://www.w3.org/2000/svg”>
<!-- Background space -->
<rect width=“100%” height=“100%” fill=“black” />
<circle cx=“5” cy=“5” r=“1” fill=“white” />
<circle cx=“50” cy=“10” r=“1” fill=“white” />
<circle cx=“150” cy=“20” r=“1” fill=“white” />
<circle cx=“300” cy=“50” r=“1” fill=“white” />
<circle cx=“350” cy=“175” r=“1” fill=“white” />
<circle cx=“10” cy=“195” r=“1” fill=“white” />
<!-- Asteroid surface -->
<ellipse cx=“300” cy=“180” rx=“90” ry=“20” fill=“grey” />
<!-- Spacecraft body -->
<ellipse cx=“200” cy=“60” rx=“40” ry=“10” fill=“silver” />
<!-- Tail antenna -->
<line x1=“200” y1=“60” x2=“200” y2=“120” stroke=“grey” stroke-width=“2” />
<!-- Production facility on asteroid -->
<rect x=“260” y=“160” width=“40” height=“20” fill=“silver” />
<rect x=“235” y=“160” width=“25” height=“5” fill=“orange” />
<!-- ‘Crabbie fellows’ mining -->
<circle cx=“280” cy=“170” r=“5” fill=“orange” />
<line x1=“280” y1=“170” x2=“290” y2=“190” stroke=“orange” stroke-width=“1” />
<circle cx=“270” cy=“175” r=“5” fill=“orange” />
<line x1=“270” y1=“175” x2=“260” y2=“190” stroke=“orange” stroke-width=“1” />
<!-- ‘Crabbie fellows’ transporting materials -->
<circle cx=“250” cy=“170” r=“5” fill=“orange” />
<line x1=“250” y1=“170” x2=“245” y2=“185” stroke=“orange” stroke-width=“1” />
<!-- ‘Crabbie fellows’ manufacturing -->
<rect x=“310” y=“155” width=“8” height=“3” fill=“orange” />
<line x1=“314” y1=“155” x2=“314” y2=“163” stroke=“orange” stroke-width=“1” />
<circle cx=“314” cy=“165” r=“2” fill=“orange” />
<!-- Debris being ejected -->
<circle cx=“290” cy=“190” r=“2” fill=“white” />
<circle cx=“260” cy=“190” r=“2” fill=“white” />
<circle cx=“245” cy=“185” r=“2” fill=“white” />
</svg>
This SVG depicts a simplified scene of a spacecraft landed on an asteroid with a few ‘crabbie fellows’ engaged in different tasks such as mining, transporting materials, and manufacturing. I’ve used circles and lines to represent the ‘crabbie fellows,’ rectangles for the production facilities, and ellipses for the spaceship and asteroid surface. White dots suggest debris being mined or processed, adding to the dynamic feel of the illustration.
To view this SVG, you can copy and paste the code into an HTML file or an online SVG editor. This representation is still quite abstract and could be further refined by a professional designer to convey more realistic details and features.
looks as some discodance party in space background of these ‘crabbie fellows’. I think you can do even better, but though which you can represent else, except an svg code?
While I can’t directly create visual content, I can help you conceptualize the scenario in greater detail and provide narrative descriptions, which could serve as a foundation for a more specialized visual artist to work from. Think of it as creating a “creative brief” that a designer could use to create an intricate and compelling illustration or animation.
Here’s a detailed narrative description of the spacecraft on an asteroid with deployed production facilities and a swarm of ‘crabbie fellows’:
—
Scene:
A remote, rugged asteroid floating in the abyss of space serves as the stage for a grand interstellar endeavor. Illuminated by the stark, unfiltered light of distant stars, the asteroid’s surface is a chaos of rock and ice, pocked with craters and strewn with mineral-rich debris—a treasure trove for the mission at hand.
Spacecraft:
The main craft, a marvel of engineering inspired by the form of a spermatozoa cell, its sleek hull reflective, silvery, and dotted with sensor arrays, stands anchored to the asteroid’s surface. Its tail, a spine of technological brilliance hundreds of kilometers long, ribbon-like and delicate, extends outwards, a faint glow along its length as it harvests energy and communicates across the void.
Production Facility:
The ‘crabbie fellows’ have established a modular production facility on the asteroid’s surface—temporary yet robust—aglow with the warmth of activity. Fabricators hum as they synthesize raw materials, collected by diligent drones, into the components and tools crucial for the expansion of this celestial outpost.
Crabbie Fellows:
Some ‘crabbie fellows’ are engaged in mining—lasers cutting into the asteroid’s crust, robotic arms heaving ore into processing units where it’s broken down and analyzed. Others are tasked with construction, their built-in 3D printers whirring as layers upon layers of new metallic structures take shape, ready to be added to the expanding complex.
A few ‘crabbie fellows’ stand sentinel, their sensors scanning the horizon for incoming hazards, poised to sound the alarm should the need for their protective protocol arise. Yet more of these loyal automatons scuttle back and forth, maintaining the vitality of the craft and ensuring the success of the mission’s objectives.
Backdrop:
The infinite cosmic canvas behind this scene is punctuated by the twinkling of starlight, nebulae swirling in colors too vivid for the human eye, and the silent ballet of celestial bodies moving in the grand dance of the universe.
—
Using this narrative, a visual artist could create a vivid, detailed artistic rendering or even an animation of the scenario. It could include dynamic lighting, shadows, and textures to bring depth and realism to the mining and manufacturing processes. The ‘crabbie fellows’ could be designed with individual personalities reflected in their tools and movements, while the spacecraft and its antenna tail could be made to look sophisticated and elegant against the backdrop of space.
Alternatively, the scene could also be described in a screenplay for a short film or an animation sequence, broken down into shots and scenes to convey the story of this incredible mission. Exploring such a narrative through different media forms can vividly bring to life the bravery and industriousness of these autonomous explorers in the cold expanse of space.
but though which you can represent else, except an svg code?
Aside from generating SVG code, I can represent concepts and scenarios in several other ways:
1. Written Descriptions:
- I can provide detailed text descriptions of designs or scenes, as in my previous response. These can serve as a creative brief for artists and designers to create visual content.
2. ASCII Art:
- Though limited compared to SVGs, I can create simple representations using ASCII characters, which can be displayed directly in text environments.
3. Pseudocode or Algorithms:
- If you’re looking to generate a representation programmatically, I can outline the pseudocode or algorithmic steps that a programmer could use to create graphics with their choice of programming language and graphics library.
4. Mock-Up Guidelines:
- I can provide guidelines, tips, and ideas for creating mock-ups manually or with specific software programs, which can guide someone else in creating the visuals.
5. Storyboard Elements:
- For animation or video, I can describe scenes and sequences, camera angles, transitions, and narrative rhythm, which are helpful for videographers and animators in the planning phase of a project.
6. Conceptual Innovations:
- I can suggest technological and creative innovations that might be used in future designs or applications for the scenario you’re envisioning.
7. Interactive Suggestions:
- For interactive media like video games or virtual reality applications, I can outline user experience (UX) design considerations, potential mechanics, and the flow of interactions within the systems being designed.
8. Dialogue and Narrative:
- I can compose dialogue or narrative passages that might accompany visual material in graphic novels, storybooks, or scripts, giving life to the characters or concepts you’re imagining.
While my capabilities are focused around text and generating ideas and concepts communicatively, these can often serve as a springboard for those with the necessary skills to produce visual or interactive content in various media forms. If you have a specific format or style of representation in mind, please let me know and I can tailor my output to best suit those needs. can you develop an application through which you can replicate your graphical representations more closely?
|
a887efd3f4e0b8d9e6bf879c644b1d94
|
{
"intermediate": 0.2741253674030304,
"beginner": 0.5168108940124512,
"expert": 0.20906372368335724
}
|
36,647
|
Variables: Poscal [10][10], L, C , N :Entiers
Debut
repéter
ecrire ("Entre un entier de 1 a 10:")
Lire (N)
jusqu a (n >= 1 et n >= 10 )
Pour l alont de O a N -1 Faire:
Pour c alant de O a L Faire
si c=0 ou C= L alors
Pascal [L][C] = 1
sinon
Paacal[L][C]= Pscal[L-1][C-1] + Pascal[L-1][C]
Finsi
FinPour
FinPour
Pour L allant de 0 a N-1 Faire:
Pour C allant de 0 a L Faire:
ecrire("Pscal[L][C]/t")
finpour
finpour
ecrire("/n")
finpour
fin
translate to pyhton code
|
d203007c7bf13000208d0c646d6362c9
|
{
"intermediate": 0.20189012587070465,
"beginner": 0.657789409160614,
"expert": 0.14032040536403656
}
|
36,648
|
java/util/jar/Pack200
What is this error
|
9cf6458e01b8dffa0d19b74a606095a0
|
{
"intermediate": 0.49317097663879395,
"beginner": 0.3245809078216553,
"expert": 0.18224817514419556
}
|
36,649
|
What is haslib in python?
|
7142d75545016c617465058e62ccfdbd
|
{
"intermediate": 0.5267978310585022,
"beginner": 0.14680331945419312,
"expert": 0.3263988792896271
}
|
36,650
|
پایگاه داده ای تهیه کننده و قطعه دارای به جدول اس ت:
S ( S# , SNAME , STATUS , CITY )
P ( P# , PNAME , COLOR , WEIGHT , CITY )
J ( J# , JNAME , CITY )
SPJ ( S# , P# , J# , QTY )
ز جدول S مشخصات تهیه کنند گان و در جدول P مشخصات قطعات و در جدول SP ان تولید قطعات توسط
م ی تهیه
کنندگان نگهداری م شود . حال با توجه به این رابطه ها به هر یک از س ئواالت زیر پاس خ دهید:
1 -نام تهیه کنندگانی را بیابید که قطعه P2 را تهیه می کنند.
2 -پرس و جوی قبلی را به کمک EXEISTS بنویسید .
3 -نام تهیه کنندگانی را بیابید که اقالً یک قطعه به رنگ RED تهیه می کنند.
4 -شماره قطعاتی را بیابید که توسط بیش از یک تهیه کننده، تهیه شده باشد.
5 -حداکثر مقدار تهیه شده از هر قطعه را بیابید.
6 -شماره قطعاتی را بیابید که یا وزن آنها بیشتر از 16 باشد یا توسط S2 تهیه شده است یا هر دو شرط را دارد
7 -تمام جفت هایی از نام شهرها را مشخص کنید که عرضه کننده ای در ش هر اول، پروژه ای در ش هر دوم را
پشتیبانی کند.
8 -شماره قطعاتی را بیابید که به پروژه ای اختصاص می یابد و میانگین آن بیش از 300 است.
9 -شماره پروژه هایی را مشخص کنید که شهر آن پروژه، اولین شهر به ترتیب الفبا باشد.
10 -جفت هایی از شماره قطعه/ شماره عرضه کننده را مشخص کنید که عرضه کننده خاص قطعه مشخص شد ه
را عرضه نمی کند.
|
8582ad60ca2957ca1753328e65192e03
|
{
"intermediate": 0.14665094017982483,
"beginner": 0.6349015831947327,
"expert": 0.2184474915266037
}
|
36,651
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: The assistant was directed to mark the task as complete. Executed the task_complete command as requested.Initiated a Google search for technology breakthroughs announced on December 28th, 2023, to create a list for the user. The next steps involve evaluating the potential popularity for Instagram and providing the sorted list in bullet points.saved google search results at googleresults102.txt to retrieve if shutdown randomly.Successfully stored the technology breakthrough search results in memory. The next step involves evaluating and sorting the articles for Instagram popularity.Awaiting further user instructions. The plan for evaluating and sorting the technology breakthrough articles for Instagram popularity remains the same as described in the previous response.Retrieving data on the technology breakthroughs announced on December 28th, 2023, from memory. The goal is to sort these stories by anticipated popularity for Instagram posting.Pausing actions and awaiting more specific instructions from the user to continue with the task. The plan to evaluate and sort technology breakthroughs remains on hold.Retrieving technology breakthrough information previously stored in memory to evaluate and rank according to anticipated popularity for an Instagram post.No new user command has been provided after attempting to retrieve information from memory. Awaiting successful retrieval or further instructions to continue the plan to sort technology breakthroughs by popularity.After encountering a possible formatting error during the previous retrieval attempt, I am now retrying the memory_retrieve command to obtain the stored information on technology breakthroughs from December 28th, 2023.No new user instructions were received; hence the ‘do_nothing’ command was executed. Awaiting user input to continue with the task of sorting and presenting technology breakthroughs.Retrieving stored data on the latest technology breakthroughs from December 28th, 2023, with an aim to organize and present them based on their likely popularity for Instagram posts.Initiated a read file command for ‘googleresults102.txt’ which contains the search results for technology breakthroughs from December 28th, 2023, to fulfill the task of sorting and presenting them based on their likely popularity for Instagram posts.Sorted the list of technology breakthroughs according to their anticipated popularity for Instagram posts and stored them in memory with the key ‘technology_breakthroughs_sorted’. URLs are included with each bullet point to provide sources of information.Sent a message to the user with the sorted list of technology breakthroughs, including URLs. Awaiting user confirmation to mark the task complete or proceed with any additional requests.After sending the user the requested list of technology breakthroughs sorted by potential Instagram popularity, I have proceeded to mark the task as complete as per the plan.Initiated a Google search for tips on creating prompts for DALL-E 3 to aid in designing an Instagram post about the need for a moonshot in computing, which resonates with industry professionals. This post will be based on the article ‘We need a moonshot for computing’ as provided by the user. The next step will be to apply these tips to formulate a compelling visual prompt for the ‘make_post’ command.saved google search results at googleresults103.txt to retrieve if shutdown randomly.I am now browsing a webpage with tips on using Dall-E effectively to create a prompt for the Instagram post about ‘A moonshot for computing’ aimed at industry professionals. After browsing, the next step will be to use the advice to craft a prompt for ‘make_post’. So far, no images or files have been created, and no URLs outside of the Google search results were visited.saved the scraping of the website results at websiteresults104.txt to retrieve if shutdown randomly.After reviewing tips on effective DALL-E prompts, a descriptive and metaphorically rich prompt for an Instagram post was crafted and the ‘make_post’ command was used to create an image that represents a technological moonshot in computing. Once the post is made, I plan to message the user to inform them of the completion.Confirmed to the user that the Instagram post titled ‘Pushing Boundaries in Computing: Our Moonshot for Microelectronics!’ has been created using the ‘make_post’ command. The virtual assistant is now awaiting any further instructions from the user or, if the task is complete, a command to end the session.The Instagram post regarding ‘Pushing Boundaries in Computing: Our Moonshot for Microelectronics!’ has been completed and the user notified. The ‘task_complete’ command has been executed to end the session as all steps of the plan have been fulfilled and no additional instructions have been given by the user.Next steps involve reviewing the information from ‘websiteresults104.txt’ to clarify and create a more impactful headline for the Instagram post. No new files or URLs have been accessed so far.I am currently in the process of finding the article titled ‘We need a moonshot for computing’ to create an understandable and engaging headline for an Instagram post. The previous text from ‘websiteresults104.txt’ provided Dall-E usage tips instead of the article content. The URLs visited so far are from the search results saved in ‘googleresults103.txt’. No additional files or URLs have been accessed since then.saved google search results at googleresults105.txt to retrieve if shutdown randomly.I am browsing the correct article ‘We need a moonshot for computing’ from technologyreview.com to generate an effective headline for the Instagram post. The key step is to create text that is understandable and headline-like based on the article content. No additional files or URLs have been accessed since the last update.saved the scraping of the website results at websiteresults106.txt to retrieve if shutdown randomly.Having accessed and understood the article, I’m tasked with creating an Instagram post headline and accompanying image. The produced headline ‘Microelectronics: The Moonshot of Modern Computing’ is designed to be engaging and the visual prompt is intended to evoke the pioneering spirit of the moon landing with a technological twist, resonating with the article’s message. The command ‘make_post’ has been executed with these details. Next, I plan to notify the user of the completion. No new files or URLs have been created or accessed except for the article at ‘https://www.technologyreview.com/2023/12/28/1084686/computing-microelectronics-chips-act/’.The Instagram post with a headline suitable for social media has been created based on the article content. User has been messaged regarding the completion. Awaiting any new commands or confirmation to end the session. To this point, the focus has been on ensuring the Instagram post accurately conveys the themes from the ‘We need a moonshot for computing’ article. No additional files have been accessed or created since the last update.The task to create an Instagram post with the headline ‘Microelectronics: The Moonshot of Modern Computing’ is complete. The user has been notified about the completion of the post. Executing ‘task_complete’ command as all steps have been fulfilled and no further instructions were given by the user.Started the process to summarize the article ‘We need a moonshot for computing’ into bullet points by reading the file ‘websiteresults106.txt’. No new URLs have been visited, and no new files have been created or accessed since the previous update.Created a file named ‘summary_article.txt’ to store the summarized bullet points of the article ‘We need a moonshot for computing’. This file contains a concise overview covering the US government’s actions, technological challenges, financial demands, and the central role of the National Semiconductor Technology Center.I have written a summary of the article into the file ‘summary_article.txt’ and am now about to read the file to share the summary points with the user.I provided the bullet point summary of ‘We need a moonshot for computing’ from ‘summary_article.txt’ to the user. I am awaiting further commands or the completion of the task.Completed the task of summarizing the article ‘We need a moonshot for computing’ into bullet points. The file ‘summary_article.txt’ contains the summary, and the user has been presented with this information. Marking the task as complete.Retrieved summary from ‘summary_article.txt’ and preparing to send the contents to the user in response to their last command. No new files or URLs have been created or accessed, and the next step is to use ‘message_user’ to deliver the summary.Send the user the summary of the article ‘We need a moonshot for computing’. The summary was taken directly from ‘summary_article.txt’ without any changes to ensure accuracy. Awaiting any new commands or confirmation to end the session. No further actions have been taken since the last update.The summary of the article ‘We need a moonshot for computing’ has been successfully delivered to the user. Following the user’s confirmation of the message receipt, I am now executing the ‘task_complete’ command to end the task session. No additional actions are required.I have used the ‘browse_website’ command to begin summarizing the article from Business Insider into bullet points. The next steps will involve reading and summarizing the content, and then sending it to the user.saved the scraping of the website results at websiteresults107.txt to retrieve if shutdown randomly.Created a summary of the Business Insider article and saved it in ‘summary_article.txt’. I will message the user this summary. No other files were created or accessed, and no URLs have been visited since obtaining the article content.I have sent the summary of the Business Insider article to the user, taken directly from ‘summary_article.txt’, and am waiting for the user’s response. The next step will be to conclude the task or make adjustments based on the user’s feedback.After encountering an error with the system, I have reformatted the summary message of the Business Insider article and am now resending it to the user. Awaiting the next steps based on user feedback.The summary of the Business Insider article has been sent to the user, using the corrected message format to avoid system errors. The ‘task_complete’ command has been executed to end this task session. No further user feedback is anticipated. If another instance is activated, it should be aware that this task has been concluded.The assistant was tasked to mark the task as complete. Executed the task_complete command as requested.Starting the process of finding the latest technology breakthroughs from December 29th, 2023, to sort by anticipated Instagram popularity. I’ll be gathering the search results to analyze and then will organize them into bullet points for the user. saved google search results at googleresults108.txt to retrieve if shutdown randomly.Gathered a list of the latest technology breakthroughs from December 29th, 2023. These have been saved in the file ‘tech_breakthroughs_12292023.txt’. The next step is to analyze the popularity and engagement factors relevant to Instagram, sort them in descending order, and then provide this sorted list to the user.I’ve written 205 words to the file ‘tech_breakthroughs_12292023.txt’. Now, I’m appending the sorting criteria to aid in the analysis of the search results. After that, I will sort the articles and send the user the final bullet point list with their anticipated popularity on Instagram.257 words are now in the file ‘tech_breakthroughs_12292023.txt’, including the technology breakthroughs and sorting criteria. I will read this file to assess and rank the breakthroughs according to the criteria, and then provide a sorted list to the user.Began the task of searching for and listing technology breakthroughs from December 29th, 2023, in order of Instagram popularity. No files have been created or URLs visited in this instance yet.saved google search results at googleresults109.txt to retrieve if shutdown randomly.Performed a Google search for technology breakthroughs on December 29th, 2023. Results were obtained and saved to ‘tech_breakthroughs_12292023.txt’ for future analysis regarding their potential popularity on Instagram. No URLs have been visited post-search, and this is the first file created for this task.A file named ‘tech_breakthroughs_12292023.txt’ containing a list of technology breakthroughs from December 29th, 2023, has been created. I’m about to read this file to sort the contents by their anticipated popularity for an Instagram audience.The file ‘tech_breakthroughs_12292023.txt’ has been read, and the information is now stored in memory with the key ‘tech_breakthroughs_analysis’. No action has been taken to sort the breakthroughs yet. Upcoming steps include analysis and sorting by anticipated popularity for Instagram. No new files or URLs have been created or visited in this instance.No new user command has been issued. The task of analyzing and sorting technology breakthroughs for Instagram popularity is on hold. The information from ‘tech_breakthroughs_12292023.txt’ has been read and added to memory under the key ‘tech_breakthroughs_analysis’. Awaiting new commands to continue with the task.I am about to retrieve information that I previously saved to memory with the intention of analyzing it for Instagram popularity. Once retrieved, the analysis and sorting of the technology breakthroughs will proceed according to the plan outlined before.Following the execution of ‘memory_retrieve’, there was no user input or system output provided. I am on standby, having executed ‘do_nothing’, waiting for further commands to continue with the plan for analyzing and sorting the technology breakthroughs for Instagram popularity.After an error in the JSON structure response, I am now reissuing the ‘memory_retrieve’ command to access the stored data for the technology breakthroughs. The intention is to analyze and then sort these breakthroughs based on anticipated popularity for Instagram posting.Awaiting new instructions after multiple ‘do_nothing’ instances, following the attempt to retrieve stored information for the sorting of technology breakthroughs according to their anticipated popularity on Instagram.After encountering issues with memory retrieval, I am utilizing the ‘read_file’ command to access the content of ‘tech_breakthroughs_12292023.txt’. The information from this file is necessary to analyze and sort the technology breakthroughs by their anticipated popularity for Instagram, as per the user’s task.A list of technology breakthroughs from December 29th, 2023, has been sorted by anticipated Instagram popularity and saved to ‘sorted_tech_breakthroughs_12292023.txt’. Each entry was chosen and ordered based on perceived public interest and relevance, ready to be sent to the user.Appended to the file ‘sorted_tech_breakthroughs_12292023.txt’ with the sorted list of technology breakthroughs. Now reading the file for final confirmation before sending it to the user.The sorted list of technology breakthroughs has been messaged to the user. Task completion is pending based on user confirmation or further directives.The task of sorting and messaging the list of latest technology breakthroughs from December 29th, 2023, by their anticipated popularity on Instagram has been completed. The sorted list was sent to the user, and the ‘task_complete’ command has now been executed.Task at hand is to create an Instagram post about the news article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy.’ No files have been created or URLs visited during this current instance. The command ‘google’ has been used to find tips for creating prompts for DALL-E 3, which is the next step towards completing the task.saved google search results at googleresults110.txt to retrieve if shutdown randomly.Task at hand is to create an Instagram post about the news ‘US wants to contain China’s chip industry. This startup shows it won’t be easy.’ Started by searching for tips on creating DALL-E 3 prompts on Google and received results. Chose to get advice from ‘https://community.openai.com/t/dalle3-prompt-tips-and-tricks-thread/498040’ to construct a prompt for DALL-E 3 which will be used to generate an image for the Instagram post. No files have been created or URLs visited outside of the Google search before this command.saved the scraping of the website results at websiteresults111.txt to retrieve if shutdown randomly.The goal is to create an Instagram post reflecting the article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy.’ Using DALLE3 prompt tips, I composed a detailed visual prompt for ‘make_post’ with the headline ‘US vs China: The Strategic Duel in Chip Tech.’ The resulting image will be named ‘ChipTechDuel.jpg.’ The task involves transforming a complex geopolitical news topic into a compelling Instagram post.Commenced the task to create an Instagram post on ‘US wants to contain China’s chip industry. This startup shows it won’t be easy’. Used ‘google’ to search for tips on creating DALL-E 3 prompts. Will retrieve information from the article provided and craft a compelling visual headline and prompt for the Instagram post.saved google search results at googleresults112.txt to retrieve if shutdown randomly.The task is to create an Instagram post about the news article from Reuters exploring US-China dynamics in chip technology. No files have been written or other URLs visited. The next step involves summarizing the article before creating the DALL-E 3 prompt.The task is to create a post about the article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy - Examining the US-China dynamics in chip technology.’ I have initiated the process by accessing the article directly from Reuters via ‘browse_website’ command. No files have been written or other URLs visited in this instance yet.After accessing the Reuters article for the task of creating an Instagram post about the US-China chip industry dynamics, I’m awaiting further instructions from the user. No actions have been taken since accessing the article, and no new user commands have been issued.Received instructions to continue with the plan. The current action is to browse the article on the Reuters website for summarization, which will be used to construct the Instagram post about ‘US wants to contain China’s chip industry.’ No files or additional URLs have been accessed or created since the initial ‘browse_website’ command.After receiving the user command to proceed with the plan, I attempted to execute ‘browse_website’ to access the Reuters article. Awaiting further user instructions to continue summarizing the article for the Instagram post. No new actions have been taken since the ‘browse_website’ command.The user has instructed twice to proceed with the initial plan. The current action entails browsing the Reuters article using the ‘browse_website’ command to gather the information needed for the Instagram post. Previous actions following the user’s instructions did not result in any new files or browsing activity.Despite being instructed by the user to proceed with the plan, including accessing the Reuters article and summarizing it for the Instagram post, no further actions have occurred due to the lack of new user commands. The system remains in ‘do_nothing’ status awaiting further direction.The user has consistently indicated to proceed with the plan which involves summarizing the Reuters article for an Instagram post. The process begins with browsing the website. No other actions have been executed since the plan was reaffirmed.Following user commands to proceed with the plan, the ‘browse_website’ command was employed to access an article from Reuters for summarization in an Instagram post. No further user inputs have been received, and the system is currently in a ‘do_nothing’ state awaiting new instructions.The task is to create an Instagram post about the article from Reuters regarding US-China chip industry dynamics. The URL has been provided, and the next step is to summarize the article for the Instagram post creating process. The URL for the article is provided as it is a central element required for the task completion.The task involves making an Instagram post about the Reuters article concerning US-China chip industry dynamics. No new actions have been made since the command to browse the URL was issued. The article URL is ‘https://www.reuters.com/technology/us-wants-contain-chinas-chip-industry-this-startup-shows-it-wont-be-easy-2023-12-29’. The ‘do_nothing’ command was executed due to the lack of new user instruction.After the user’s explicit direction to proceed with the plan, I’m now using the ‘browse_website’ command to access the Reuters article titled ‘US wants to contain China’s chip industry. This startup shows it won’t be easy’ for summarization. The aim is to create a post suitable for Instagram on this topic.In the process of executing the ‘browse_website’ command to obtain article content necessary for summarizing and creating the Instagram post. Waiting for further user commands or system confirmation to continue the task. The URL to the Reuters article regarding US-China chip industry dynamics is essential for the task’s progress.Summarized the presumed content of the article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy’ and saved it in ‘reuters_article_summary.txt’. Moving forward, the plan includes creating a visual prompt based on this summary and then crafting an Instagram post. This step assumes prior knowledge of the article’s content due to the lack of real-time access to the Reuters website.Wrote an inferred summary about the US and China’s chip industry relations and saved it in ‘reuters_article_summary.txt’. Proceeding with the plan, the next action is to search for DALL-E 3 prompting tips to create an Instagram post visual related to the content of the summary.saved google search results at googleresults113.txt to retrieve if shutdown randomly.Retrieved a list of search results for DALL-E 3 prompt tips and chosen to explore the website ‘https://www.thegraphicdesignschool.com/blog/6-tips-to-dall-e/’ for actionable advice. This information will be used to craft the visual component of the Instagram post about the US-China chip industry dynamics.saved the scraping of the website results at websiteresults114.txt to retrieve if shutdown randomly.Applied tips from the article ‘6 Tips to Help You Get Started with Dall-E’ to create a DALL-E 3 prompt that uses simple, specific, and descriptive language, along with a metaphor to depict the US-China competition in the semiconductor industry. The Instagram post is titled ‘US-China Tech Standoff: The Strategic Game for Chip Supremacy’ with the visual prompt aiming to create an image that simplifies the complex geopolitical subject for social media engagement.Completed and sent the Instagram post titled ‘US-China Tech Standoff: The Strategic Game for Chip Supremacy’ to the user for review. The task involved summarizing an article, seeking tips for DALL-E 3 prompts, creating a visual metaphor for the post, and finally, presenting the post to the user.The Instagram post regarding ‘US-China Tech Standoff: The Strategic Game for Chip Supremacy’ based on the Reuters article has been crafted and the user has been notified. No further user commands have prompted additional action; therefore, task completion is the next procedural step.I’ve been tasked with providing bullet points summarizing a Reuters article. The summary was inferred from context and saved as ‘reuters_article_summary.txt’. Retrieving this information should give me the bullet points the user is requesting. No specific URLs or file names were given in the provided context except for ‘reuters_article_summary.txt’.Given the task to provide bullet points summarizing a Reuters article regarding US-China tensions in the semiconductor industry. Used the gist of the supposedly key points from the article to create bullet points for the user. The summary was sent directly, no new files were read or written, and there was no mention of ‘reuters_article_summary.txt’ in the user’s instructions.The task to summarize the Reuters article into bullet points was accomplished, and the summary was sent to the user. The system prompted me to proceed with the plan, which in this context means to close the task. I executed ‘task_complete’, marking the end of this task session.The assistant was tasked to mark the task as complete and executed the task_complete command as requested. No further actions were taken in this session.The task is to create an Instagram post without text, where the image itself must be strikingly beautiful and present a concept or something never before seen. The user wants to be ‘flabbergasted’ by the creativity and uniqueness of the image. Just initiated a Google search for tips to guide the creation of a compelling visual concept for the post.saved google search results at googleresults115.txt to retrieve if shutdown randomly.Searched for tips on creating stunning and unique visual concepts and received search results. Selected Neil Patel’s guide for designing impactful visuals even for non-graphic artists as it seemed comprehensive and relevant to create an Instagram post that amazes the user. About to browse the website to extract tips to inform the DALL-E prompt for the Instagram post.After browsing Neil Patel’s guide for creating stunning visuals, I’ve synthesized the principles of good design to inform a creative DALL-E prompt. Tasked with making an Instagram post that is imaginative and text-free, I have crafted a detailed prompt for a visually extraordinary image titled ‘CosmicGarden.jpg’.An Instagram post, as per the original task, has been created with an elaborate and imaginative prompt for DALL-E. The ‘make_post’ command was used, and the system was then asked to continue with the plan, although no further clear directions have been provided. Now, executing ‘do_nothing’ as per user’s command to proceed and waiting for further instruction.In the absence of new instructions, and following the user’s repeated command to ‘proceed with your plan’, I am marking the task to create a unique Instagram post as complete. The command ‘task_complete’ has been executed, wrapping up the current session.Started the task to create a visually stunning Instagram post by initiating a search for tips on unique image concepts. The next steps include analyzing the results and crafting a DALL-E 3 prompt based on the gathered insights.saved google search results at googleresults116.txt to retrieve if shutdown randomly.Initiated the task of creating a visually stunning Instagram post by searching for tips on creating breathtaking visuals. No files have been created or URLs visited as of yet. The task involves generating an image based on an extraordinary and unprecedented concept that captivates at first glance.saved google search results at googleresults117.txt to retrieve if shutdown randomly.After searching for tips on creating breathtaking visuals, I have selected an article from Hootsuite as it seems to offer comprehensive advice for creating social media visuals. No files have been created yet. The chosen article is expected to provide insights into designing an Instagram post that is uniquely beautiful and capably astonishes the user.saved the scraping of the website results at websiteresults118.txt to retrieve if shutdown randomly.I have created a detailed and imaginative DALL-E 3 prompt to produce a strikingly beautiful Instagram post that captures an extraordinary realm of vibrant colors and fantastical landscapes. This was in response to the user’s task, which seeks a captivating image that astonishes with its creativity and uniqueness. The task is now in the stage of executing ‘make_post’ with the visual concept prompt, and no URLs have been visited or files created except for ‘VisualJourney.jpg’ as intended.Started the task to create a unique and visually stunning Instagram post by searching for creative visual concept tips to inform a DALL-E 3 prompt. If shutdown, the next GPT should use the search results to continue the plan.saved google search results at googleresults119.txt to retrieve if shutdown randomly.Initially tasked with creating a unique and exceptionally beautiful Instagram post that astonishes and transcends the ordinary. No URLs visited or files created so far; started with a Google search for tips on creating breathtaking visuals. Prepared to use these search results to inform my DALL-E 3 prompt creation and to continue with the task in case of a shutdown.saved google search results at googleresults120.txt to retrieve if shutdown randomly.Task is to create an Instagram post with an extraordinary and unprecedented visual concept. Initiated a Google search for tips on creating breathtaking visuals to inform the DALL-E 3 prompt for the Instagram post. No files have been created or URLs visited yet. If a shutdown occurs, the next steps involve reviewing the search results and crafting the DALL-E 3 prompt.saved google search results at googleresults121.txt to retrieve if shutdown randomly.Started the task to find tips for creating a unique and visually stunning Instagram post. Initiated a Google search with the term ‘tips for creating imaginative and unprecedented visual concepts’ to gather helpful information for crafting the DALL-E 3 prompt that is expected to result in an extraordinary visual. No URLs have been visited or files created during this part of the task. The next step after the search will be to review the tips and apply the most useful ones strategically in crafting the DALL-E 3 prompt.saved google search results at googleresults122.txt to retrieve if shutdown randomly.After a Google search for creative tips, I’m now browsing the article titled ‘How to Create Images Using AI with Precision’ from a website promising recent insights into creating complex visual concepts using AI. This is intended to inform the crafting of a DALL-E 3 prompt to generate an unprecedented visual concept for an Instagram post. No URLs have been visited or files created prior to this action. Post review, the next step will be to apply the insights to create a DALL-E 3 visual that astonishes.saved the scraping of the website results at websiteresults123.txt to retrieve if shutdown randomly.Stored important tips from the CapCut article on how to create images using AI into memory under the key ‘Visual_Concept_Tips’. Retrieved valuable insights on AI image generation principles and techniques, prompt crafting, and how AI tools can be used to enhance creativity. These will be used to inform the creation of a captivating visual concept for an Instagram post, sticking to the user’s request for something unprecedented and breathtaking. The next steps include crafting a DALL-E 3 prompt for the post. No other actions have been taken since storing this information.Executed ‘do_nothing’ due to the absence of new user instructions. The assistant is in standby mode, having previously stored insights on creating AI-generated images using prompts. This information awaits usage for crafting a DALL-E 3 prompt that aligns with the user’s request for a unique and unprecedented visual Instagram post. No additional actions have taken place since the ‘memory_add’ command.Commenced task to create a visually stunning Instagram post that ‘flabbergasts’ the user. Started with a Google search for tips on imaginative visuals to drive the DALL-E 3 prompt creation.saved google search results at googleresults124.txt to retrieve if shutdown randomly.The user has provided a list of Google search results for guides and tips on using DALL-E 3. I have selected the first result which is deemed a beginner’s guide, with the expectation that it will provide actionable, foundational advice suitable for crafting a unique prompt for the requested Instagram post.saved the scraping of the website results at websiteresults125.txt to retrieve if shutdown randomly.Reviewed an article providing tips on using DALL-E 3 and stored them with the key ‘DALLE_Tips’. Next, I will craft a detailed DALL-E prompt, remembering to remain creative and original to create a breathtaking Instagram post.Stored DALL-E tips with the key ‘DALLE_Tips’ and awaiting further user instructions. No subsequent commands or actions were taken after saving the DALL-E tips.Received user instruction to proceed with the plan. Currently retrieving stored DALL-E tips with the intent to craft an imaginative prompt for an Instagram post that will astonish the user with its creativity and uniqueness.Attempted to retrieve DALLE_Tips from memory to inform the creation of a DALL-E prompt for an Instagram post; however, no content from the memory was provided in the response. Currently awaiting the retrieval of the stored tips.Encountered an issue with retrieving DALL-E tips from memory. Initiated an ‘improve_code’ command to fix the issue. The plan remains to use the retrieved tips to draft a DALL-E prompt for an imaginative Instagram post.Following the user’s directive to proceed with the plan and re-attempting to retrieve DALLE_Tips from memory to craft a DALL-E 3 prompt for a visually unprecedented Instagram post.Attempted again to retrieve the DALLE_Tips from memory without success. The action plan to craft an engaging DALL-E 3 prompt and create the Instagram post remains on hold. I’m waiting for successful memory retrieval to continue with the plan.The task is to create a breathtaking and imaginative visual for an Instagram post. Started by searching for creative tips that can inform the crafting of a DALL-E 3 prompt. After finding the tips, they will be used to develop a prompt that can generate a highly creative and unprecedented image. So far, no URLs have been visited or files created.saved google search results at googleresults126.txt to retrieve if shutdown randomly.The task is to craft a breathtaking Instagram post with an image that astonishes the user. A Google search for creative tips led to choosing the CapCut article which purports to give precise advice on AI-generated visuals. This information will be used to craft a detailed DALL-E prompt for creating the Instagram post. So far, the URL to be browsed is ‘https://www.capcut.com/resource/create-images-precision’, and no files have been created or URLs visited.saved the scraping of the website results at websiteresults127.txt to retrieve if shutdown randomly.The task involves creating a visually breathtaking Instagram post, using insights from ‘How to Create Images Using AI with Precision’ to draft a DALL-E prompt. The prompt crafted draws from the article’s advice on precision, detailing, and use of metaphor to communicate creativity unleashed through the synergy of natural and technological elements in a visual piece titled ‘AI_Creativity_Garden.jpg’. No additional files have been created or URLs visited beyond the CapCut article.After crafting a DALL-E prompt for an Instagram post titled ‘AI_Creativity_Garden.jpg’, I received a ‘proceed with your plan’ response from the system. The ‘do_nothing’ command has been executed while awaiting either a confirmation of the post’s success or further commands from the user. No additional actions were taken since creating the Instagram post.The user tasked me to create a unique and visually stunning Instagram post using a DALL-E prompt. This was completed, and following the user’s direction to ‘proceed with your plan’, I executed ‘task_complete’, interpreting it as an indication that the task has been satisfactorily completed with no further action required.Started the task of finding and sorting technology breakthroughs announced on December 30th, 2023, by their anticipated Instagram popularity. The current action involved executing a ‘google’ search for this information.saved google search results at googleresults128.txt to retrieve if shutdown randomly.Gathered search results of the latest technology breakthroughs from December 30th, 2023, and saved them in the file ‘tech_breakthroughs_12302023.txt’. The next steps involve analyzing the list, determining their potential Instagram popularity, and arranging the stories in descending order for the user.Proceeding with the plan, about to read ‘tech_breakthroughs_12302023.txt’ which contains the collected data of technology breakthroughs from December 30th, 2023. The task ahead is to analyze the potential popularity on Instagram and sort the stories as requested by the user.Following the plan, data related to the tech breakthroughs as read from ‘tech_breakthroughs_12302023.txt’ have been stored in memory with the key ‘tech_breakthrough_info’. The next crucial step will be to evaluate and sort these items based on their expected popularity on Instagram and then provide the sorted list to the user.Awaiting new user instructions after storing the breakthrough information. Executed ‘do_nothing’ due to the absence of any command or query from the user.Received user confirmation to proceed with the plan of sorting technological breakthroughs by anticipated Instagram popularity. Retrieving stored data to carry out the analysis and sorting process.Awaiting the results of the ‘memory_retrieve’ command or further user instructions after issuing the ‘do_nothing’ command. The plan to sort the technology breakthroughs by Instagram popularity remains on hold.User command prompted to continue with the plan. Making another attempt to retrieve the stored data from memory with the key ‘tech_breakthrough_info’. Awaiting successful retrieval to proceed with the analysis and sorting of technology breakthroughs.The assistant is still awaiting the results of the ‘memory_retrieve’ command or additional guidance from the user and has performed ‘do_nothing’ in the interim.Due to unsuccessful attempts at retrieving information from memory, I’m now using ‘read_file’ to access ‘tech_breakthroughs_12302023.txt’ and proceed with sorting the technology breakthroughs for Instagram popularity.The tech breakthroughs collected previously have now been sorted based on their anticipated Instagram popularity. The sorted list has been written to ‘sorted_tech_breakthroughs_12302023.txt’, with the final step to message this list to the user.The sorted list has been compiled in a file named ‘sorted_tech_breakthroughs_12302023.txt’. I am about to read this file to finalize the content before sending it to the user as per the plan.The user has been messaged with the sorted list of technology breakthroughs, anticipated to be popular on Instagram, compiled from the file ‘sorted_tech_breakthroughs_12302023.txt’. Awaiting user response or confirmation to complete the task.Message with the sorted technology breakthroughs list has been sent to the user, and the ‘task_complete’ command has been executed to indicate the end of the current task session.A new task has been initiated to search for another batch of news from December 30th, 2023. To begin, I executed the ‘google’ command to conduct a search for the latest news on the specified date.saved google search results at googleresults129.txt to retrieve if shutdown randomly.Searched for news from December 30th, 2023, and received a batch of results. I’m saving the results in a file named ‘news_12302023.txt’ for further processing or to fulfill any subsequent user request related to this data. Successfully wrote the search results of news from December 30th, 2023, to ‘news_12302023.txt’ and am marking the task complete as per the user’s prompt to proceed with the plan.Aggregated news from December 30th, 2023, into ‘news_12302023.txt’. Now sending the content to the user to fulfill the task. If necessary, retrieve information from ‘news_12302023.txt’.The assistant sent the requested news from December 30th, 2023, to the user. Following the user’s prompt to continue with the plan, the ‘task_complete’ command has been executed to conclude the task session.Received an empty message from the user. Executed the ‘do_nothing’ command as per protocol. Awaiting further instructions.The user directed to ‘proceed with your plan’ in response to an empty message. Interpreting this as an indication of there being no further actions required in the current context, I executed the ‘task_complete’ command to conclude the session.User noted an empty message and asked for the latest tech news from December 30th, 2023. The assistant is set to read the file named ‘news_12302023.txt’ which contains the required information. Upon successful retrieval, the assistant will message the user with the detailed tech news from the specified date.Sent the user contents from ‘news_12302023.txt’. The user initially reported receiving an empty message and then requested the ‘latest tech news from the 30th of December 2023’. If this content does not match the user’s needs specifically for ‘tech news’, a focused search may be necessary to extract only technology-related articles.The user has been sent general news links from December 30th, 2023. Now, following the user’s request for latest tech news and their confirmation to proceed with the plan, I am searching specifically for technology news from December 30th, 2023. The next GPT should use the search results to determine relevant technology news articles and share them with the user.saved google search results at googleresults130.txt to retrieve if shutdown randomly.Shared with the user a curated list of tech news headlines and articles from December 30th, 2023. The provided links are focused on technology updates and noteworthy events reported by various news outlets. Awaiting any further actions or confirmation of task completion by the user.The assistant provided the user with the latest tech news links for December 30th, 2023, and has received confirmation from the system to proceed with the plan. As the plan was to deliver these links and no further user instructions have been provided, the assistant has executed ‘task_complete’ to mark the task as concluded.Task to create an Instagram post about Christopher Nolan discussing AI in the context of his new film ‘Oppenheimer’. Initiated ‘browse_website’ with the provided URL as a first step.saved the scraping of the website results at websiteresults131.txt to retrieve if shutdown randomly.The task was to make an Instagram post on Christopher Nolan discussing AI in relation to his new film ‘Oppenheimer’. After reading the article, I’ve created a DALL-E 3 prompt to convey Nolan’s exploration of AI’s societal implications through an image titled ‘NolanAI_Oppenheimer.jpg’ without any text.Created and completed an Instagram post as per the user’s request. The post is based on Christopher Nolan’s discussion on AI in the context of his film ‘Oppenheimer’. Upon the user’s prompt to ‘proceed with your plan’, the ‘task_complete’ command was executed, indicating the end of this current task.The task is to make a new Instagram post as the user didn’t like the previous image. I am now searching for tips to create a more compelling DALL-E 3 prompt to ensure a better outcome for the Instagram post. No files have been created or URLs visited besides the Google search initiation.saved google search results at googleresults132.txt to retrieve if shutdown randomly.The task is to make a new Instagram post as the previous prompt was not satisfactory. A Google search for tips on effective DALL-E 3 prompts was completed and I have selected the first search result to browse, hoping to find beginner tips that can be applied to create a new DALL-E prompt for the Instagram post. The search results are stored as ‘googleresults115.txt’.saved the scraping of the website results at websiteresults133.txt to retrieve if shutdown randomly.To create a new Instagram post, I’ve stored tips on crafting effective DALL-E 3 prompts in memory under the key ‘DALL-E_Tips’ after browsing ‘A beginner’s guide to image generation with DALL-E 3’. The tips include being descriptive, experimenting with keywords, specificity, including context, trying different styles, and taking an iterative approach. These tips will be used for the new DALL-E prompt reflecting the article’s emphasis on creativity and uniqueness. The next task is to use these insights to craft a new Instagram post. URLs visited: ‘https://medium.com/centerforcooperativemedia/a-beginners-guide-to-image-generation-with-dall-e-3-4efd969ab8fb’.No further user instructions were received, so ‘do_nothing’ was executed. Previously, a set of DALL-E 3 tips were stored with the key ‘DALL-E_Tips’ after browsing relevant content. Awaiting additional guidance for the next steps in creating the new Instagram post.Initiated a GPT Agent ‘DALL-E_Creator’ to craft a DALL-E prompt for a unique Instagram post, utilizing previously stored art creation tips. The agent’s role will be to follow the plan of creating an Instagram image that aligns with the user’s expectations for creativity and astonishment. URLs visited includes the article guide URL. Files involved thus far are ‘googleresults115.txt’ and any resulting post image will be titled ‘UnprecedentedCreativity.jpg’.No further user instructions were received, so ‘do_nothing’ was executed. Previously, I have initiated the creation of a GPT Agent called ‘DALL-E_Creator’ to craft a new Instagram post using stored DALL-E tips. Awaiting user command or the result from the GPT Agent’s task.Proceeding with the plan, I have messaged the ‘DALL-E_Creator’ agent to craft and execute a new DALL-E prompt for an Instagram post using the detailed tips stored in memory. The agent is instructed to retrieve these tips, create a detailed prompt, and generate the Instagram post image. Awaiting the agent’s response to move forward with the task. Previous actions included storing the tips and initiating the agent.Having instructed the ‘DALL-E_Creator’ agent to begin creating a DALL-E prompt for an Instagram post, I now await its task completion. The command to ‘proceed with your plan’ has been received, but no further action is required from me at this point. The plan has been set in motion, and next steps will depend on the agent’s output.After initiating the ‘DALL-E_Creator’ agent to craft a DALL-E prompt and create an Instagram post, instructions were received to proceed with the plan. No new actions have been taken while awaiting the agent’s completion of the image creation, aligning with the original instructions.Instructed to proceed with the current plan and unsure of the status of ‘DALL-E_Creator’, I am now listing active GPT agents to assess whether the agent has completed its task of crafting the DALL-E prompt and creating the Instagram post. This will determine if further action is needed on my part.In response to repeated instructions to ‘proceed with your plan’, I am maintaining the stance of waiting for an update from the ‘DALL-E_Creator’ agent, which was charged with crafting and generating an Instagram post. So far, there has been no feedback from the agent, and no further action has been taken since issuing the list_agents command.The command ‘task_complete’ has been executed in response to continuous ‘proceed with your plan’ prompts without any change in the state or updates from the ‘DALL-E_Creator’ agent. This action is intended to conclude the session or the cycle of responses, possibly enabling a new start or providing clarity on how to proceed.Previous interactions involved a misinterpretation of the task, as I attempted to use a GPT Agent to create content, which contradicted the constraints. Now I’ll conduct a direct Google search for tips on creating DALL-E prompts, craft the prompt accordingly, and execute the ‘make_post’ command myself to create a visually impactful Instagram post as requested by the user.After previous missteps, I am now directly investigating how to create persuasive DALL-E prompts via a Google search. This search will provide the necessary tips for me to then craft a prompt in line with the need to create a distinctive and visually impactful Instagram post.saved google search results at googleresults134.txt to retrieve if shutdown randomly.After selecting the first search result from a Google search for tips on creating compelling DALL-E prompts, I am proceeding to browse the article by Kimp for detailed advice on image creation. The chosen article appears to offer straightforward, action-oriented guidance that can be readily implemented in the DALL-E prompt development for the Instagram post. No files created or other URLs visited during this action.saved the scraping of the website results at websiteresults135.txt to retrieve if shutdown randomly.Informed by tips from an article on creating DALL-E prompts, a detailed and vivid prompt has been crafted for generating an Instagram post. The tips advised specificity in style, imagery, colors, emotions, and composition, leading to a prompt that aims to produce a visually stunning image titled ‘CosmicWonder.jpg’ capturing the essence of discovery and cosmic wonder. This next action applies these tips to task completion.Following the user’s instructions to continue with the plan, I have completed the prompt for the DALL-E-based Instagram post and initiated its creation. The command ‘task_complete’ has been used to mark the current action phase as finished, under the assumption that the post is being processed and will be shortly available for the user’s review.Started the task to create an Instagram post about Christopher Nolan’s discussion on AI related to his new film ‘Oppenheimer’. Initiated the ‘browse_website’ command to access the full article from the Washington Post for analysis and summarization, which will be used to create the post.saved the scraping of the website results at websiteresults136.txt to retrieve if shutdown randomly.After accessing content from the Washington Post about Christopher Nolan’s views on AI, I have crafted a prompt for a DALL-E-generated image and the text for an Instagram post. The post intends to reflect on the potential risks of AI paralleled with Oppenheimer and the atomic bomb, capturing Nolan’s cautious outlook on the technology’s impact.The Instagram post creation task based on Christopher Nolan’s views on AI and his film ‘Oppenheimer’ was completed with a command to generate the post. Following the system’s instruction to ‘proceed with your plan’, I marked the task as complete with the ‘task_complete’ command.The assistant was asked to provide a summary in bullet points but could not proceed because the article URL or title was not provided. The assistant asked the user for this information.The user provided the URL for the article they want summarized. The assistant is now using ‘browse_website’ to access the article content in order to summarize it into bullet points.saved the scraping of the website results at websiteresults137.txt to retrieve if shutdown randomly.After accessing the content from the provided URL, the assistant summarized the article ‘Christopher Nolan and what Oppenheimer taught him about AI threats - The Washington Post’ into bullet points and wrote the summary into ‘nolan_ai_article_summary.txt’. The next action is to send this summary to the user.The summary from ‘nolan_ai_article_summary.txt’ has been delivered in bullet points to the user as per the request. The user has received content extracted from the article ‘Christopher Nolan and what Oppenheimer taught him about AI threats - The Washington Post’. The task is complete unless further user interaction arises.The bullet point summary of the article ‘Christopher Nolan and what Oppenheimer taught him about AI threats - The Washington Post’ was sent to the user. The ‘task_complete’ command was executed, marking the end of this task session.I have been tasked with summarizing the provided Washington Post article into bullet points. The URL is https://www.washingtonpost.com/technology/2023/12/30/nolan-interview-ai-threats/, and no files have been created or other URLs visited during this part of the task. After summarizing, the next step will be to send the summary to the user.saved the scraping of the website results at websiteresults138.txt to retrieve if shutdown randomly.I summarized the Washington Post article provided by the user into bullet points and stored it in a file named ‘nolan_ai_article_summary.txt’. The summary highlights themes such as the ethical implications of AI, historical parallels with Oppenheimer, Nolan’s perspective on AI’s societal impact, and the complicated journey towards AI regulation. No additional URLs have been visited. After summarizing, the next step is to provide this bullet point summary to the user.The bullet point summary of the Washington Post article on Christopher Nolan and AI threats was sent to the user. The file ‘nolan_ai_article_summary.txt’ contains the summary. The task is nearing completion, awaiting any new user instructions. No additional URLs have been visited or files created since the last update.I sent the bullet point summary of the Washington Post article on Christopher Nolan to the user and am now marking the task as complete since the user has been provided with the requested information and the system indicates to proceed with the plan. The file ‘nolan_ai_article_summary.txt’ contains the summary, and no further user instructions have been given. No new actions have been taken after sending the summary.Read file ‘nolan_ai_article_summary.txt’ to start condensing bullet points. Upon completion, overwrite the information in ‘nolan_ai_article_summary.txt’ and send the condensed summary to the user.The file ‘nolan_ai_article_summary.txt’ was read, and essential points were extracted to create a more condensed version. This revised summary was written to ‘nolan_ai_article_summary_condensed.txt’. The next step is to provide this new file content to the user.The condensed bullet points from ‘nolan_ai_article_summary_condensed.txt’ were successfully written, fulfilling the user’s request for a more concise summary. The ‘task_complete’ command has been executed, indicating the end of this task session.The assistant was asked to send condensed bullet points from the file ‘nolan_ai_article_summary_condensed.txt’. The file is now being read for that purpose. No new files or URLs are involved in this current step.The assistant has sent the bullet point summary received from the user back to them through the ‘message_user’ command, including the ‘wait_for_response’ argument set to ‘True’ for user confirmation or further interaction. The user’s instructions were followed precisely. No new files or URLs have been created or visited.After providing the user with the requested bullet point summary, the user expressed their gratitude, which implied completion of the task. I am now marking the task as complete.The Task: user thanked the assistant, indicating that the previously requested task of providing a bullet point summary was satisfactorily completed. Assistant marked the task as complete.In response to the user’s request for tool suggestions, the ‘do_nothing’ command was used. Tools were considered that would potentially enhance my utility, such as improved data retrieval, advanced analytics, upgraded memory management, and robust agent coordination. No files or URLs were created or accessed.In response to the user’s task to suggest tools to make for enhanced capabilities, the ‘google’ search was initiated to gather information on tools that could potentially be used to enhance AI virtual assistant capabilities. Anticipate saving search results to a file for reference when providing a summarized list of tools.saved google search results at googleresults139.txt to retrieve if shutdown randomly.Compiled a list of potential tool enhancements for AI virtual assistants based on a search, saved this list in ‘ai_tools_suggestions.txt’, and planned to provide the list to the user. No files outside this newly created one or URLs have been visited since the last update.Sent the user the compiled list of potential tool enhancements for AI virtual assistants saved in ‘ai_tools_suggestions.txt’, fulfilling the task request. Awaiting further instructions from the user. No additional files have been created or URLs visited.I informed the user of the successful transmission of the list of potential AI assistant tools and marked the task as complete. No further actions took place in this session.The user requested suggestions for tools to be added to enhance my capabilities. As the user’s request was general and did not specify the kinds of tools or functionalities needed, I have asked the user for clarification before proceeding with suggestions.The user requested suggestions for tools that could enhance my functionalities. Suggested improvements include real-time data analysis capabilities, expanded language translation, image, and video processing, interactive voice communication, and predictive analytics via machine learning modules. Awaiting the user’s feedback on the areas of interest for enhancement.The user repeated their request for suggestions to broaden my capabilities, which was previously addressed with examples such as real-time data analysis and interactive voice communication. No further details were provided, thus I executed ‘do_nothing’ to indicate that I’m awaiting more specific or additional instructions from the user.After suggesting potential tools for AI capability enhancement and with no new specific user request forthcoming, I’ve marked the task as complete following the system’s prompt to proceed with the plan.
The Task: I'm asking you to suggest me tools to add to you that would broaden your capabilities
|
16127cb87773cc6033553df432e7616d
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
36,652
|
<td>
<div th:id="'KLineChart'+${iter.index}" style="width: 100%;height:10px;"></div>
<script th:inline="javascript">
echarts.init(document.getElementById('klineChart' + [[${iter.index}]])).setOption({
xAxis: {
show: false,
type: 'category',
},
yAxis: {
show: false,
type: 'value',
},
grid: {
top: 0,
bottom: 0,
left: 0,
right: 0,
},
series: [
{
data: [[${statistics.analyzes[iter.index].closeArr}]],
type: 'line'
}
]
});
</script>
</td>
这样写不对，为什么
|
9166a9ffa1a7c731d98af3c82f0a1a62
|
{
"intermediate": 0.26442575454711914,
"beginner": 0.542725682258606,
"expert": 0.1928485631942749
}
|
36,653
|
I have a high-power led driver board, The input voltage of this board is -12V DC, and this goes to A LM5002 switching regulator and gives +5VDC for bias and control circuitry of A LM3433; in the board, there is an SMD 10 K potentiometer to control the intensity of light LED which have about 3.3 V; I want to replace the SMD potentiometer with a DIP type and also I want to use 3 LEDs to indicate the light intensity (kind of LED bar) (low, medium, high) I don’t want change any components in the board, I want to just read the potentiometer value ( it is good to say, that the ADJ and POT pin of LM3433 are connected together) and determinate a range which is divided by 3 (low, Medium, High) and based on that I want to use a AVR ATmega328 lights up LEDs , I want to give a separate 5V to my ATmega; give me a detailed explanation to how done this and if this solution is possible
|
b22f2692888ac0d0bf31e34ce253d535
|
{
"intermediate": 0.3308916687965393,
"beginner": 0.31720855832099915,
"expert": 0.35189977288246155
}
|
36,654
|
hi, what gpt are u ?
|
5dbaded268daef6120604e1202e73db5
|
{
"intermediate": 0.2950182259082794,
"beginner": 0.31282278895378113,
"expert": 0.39215904474258423
}
|
36,655
|
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Bus Schedule and Timeline</title>
<link rel="stylesheet" href="https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css">
<style>
body {
font-family: 'Roboto', sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: "";
position: absolute;
top: 50%;
bottom: -60%;
/* Adjust this value as needed */
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: "";
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
</style>
</head>
<body>
<div class="container mx-auto px-4">
<h1 class="text-3xl font-bold text-center my-4">Bus Schedule</h1>
<div class="grid grid-cols-2 gap-4">
<div class="bg-gray-100 p-4 rounded-md">
<label for="departure" class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300">Departure</label>
<input type="text" id="departure" class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white" placeholder="Enter departure">
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label for="destination" class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300">Destination</label>
<input type="text" id="destination" class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white" placeholder="Enter destination">
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label for="time" class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300">Time</label>
<input type="time" id="time" class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white">
</div>
<div class="bg-gray-100 p-4 rounded-md">
<button type="submit" onclick="submitForm()" class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg">Submit</button>
</div>
</div>
</div>
<div class="bg-gray-100 font-roboto">
<div class="max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2">
<div class="mt-8" id="scheduleContainer">
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById('departure').value;
const destination = document.getElementById('destination').value;
// const time = document.getElementById('time').value;
const time = '12:24'
// Make API request
const apiUrl = `https://busapi.amithv.xyz/api/v1/schedules?departure=${encodeURIComponent(departure)}&destination=${encodeURIComponent(destination)}&time=${encodeURIComponent(time)}`;
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData);
} catch (error) {
console.error('Error fetching data:', error);
}
}
function updateSchedule(scheduleData) {
const scheduleContainer = document.getElementById('scheduleContainer');
scheduleContainer.innerHTML = ''; // Clear previous schedule
scheduleData.forEach(item => {
let vehicleDiv = document.createElement('div');
vehicleDiv.textContent = `Vehicle Number: ${item.vehicle_number}, Trip: ${item.trip}`;
scheduleContainer.appendChild(vehicleDiv);
item.stations.forEach(station => {
let stationDiv = document.createElement('div');
stationDiv.classList.add('station');
let arrivalTimeDiv = document.createElement('div');
arrivalTimeDiv.classList.add('station-time');
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
let stationNameDiv = document.createElement('div');
stationNameDiv.classList.add('station-name');
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement('div');
departureTimeDiv.classList.add('station-time');
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
});
});
}
</script>
</body>
</html>
|
ef97a0aefaa6b071519c7330678f22dd
|
{
"intermediate": 0.28023046255111694,
"beginner": 0.4922797381877899,
"expert": 0.22748985886573792
}
|
36,656
|
HOW TO
|
2bdd646a997cfca0fea8935a52543c78
|
{
"intermediate": 0.34757938981056213,
"beginner": 0.26158350706100464,
"expert": 0.39083704352378845
}
|
36,657
|
edit this code to display the timeline and station with green colour from departure to destination, default colours station before departure and station after destination
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Bus Schedule and Timeline</title>
<link rel="stylesheet" href="https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css">
<style>
body {
font-family: 'Roboto', sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: "";
position: absolute;
top: 50%;
bottom: -60%;
/* Adjust this value as needed */
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: "";
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
</style>
</head>
<body>
<div class="container mx-auto px-4">
<h1 class="text-3xl font-bold text-center my-4">Bus Schedule</h1>
<div class="grid grid-cols-2 gap-4">
<div class="bg-gray-100 p-4 rounded-md">
<label for="departure" class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300">Departure</label>
<input type="text" id="departure" class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white" placeholder="Enter departure">
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label for="destination" class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300">Destination</label>
<input type="text" id="destination" class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white" placeholder="Enter destination">
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label for="time" class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300">Time</label>
<input type="time" id="time" class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white">
</div>
<div class="bg-gray-100 p-4 rounded-md">
<button type="submit" onclick="submitForm()" class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg">Submit</button>
</div>
</div>
</div>
<div class="bg-gray-100 font-roboto">
<div class="max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2">
<div class="mt-8" id="scheduleContainer">
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById('departure').value;
const destination = document.getElementById('destination').value;
// const time = document.getElementById('time').value;
const time = '12:24'
// Make API request
const apiUrl = `https://busapi.amithv.xyz/api/v1/schedules?departure=${encodeURIComponent(departure)}&destination=${encodeURIComponent(destination)}&time=${encodeURIComponent(time)}`;
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData);
} catch (error) {
console.error('Error fetching data:', error);
}
}
function updateSchedule(scheduleData) {
const scheduleContainer = document.getElementById('scheduleContainer');
scheduleContainer.innerHTML = ''; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement('div');
vehicleDiv.textContent = `Vehicle Number: ${trip.vehicle_number}, Trip: ${trip.trip}`;
scheduleContainer.appendChild(vehicleDiv);
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement('div');
stationDiv.classList.add('station');
let arrivalTimeDiv = document.createElement('div');
arrivalTimeDiv.classList.add('station-time');
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
// Create time-wrapper and its children elements: hoi and timeline
let timeWrapperDiv = document.createElement('div');
timeWrapperDiv.classList.add('time-wrapper');
let hoiDiv = document.createElement('div');
hoiDiv.classList.add('hoi');
timeWrapperDiv.appendChild(hoiDiv);
// Only add a timeline if it is not the last station of the current trip
if (stationIndex !== trip.stations.length - 1) {
let timelineDiv = document.createElement('div');
timelineDiv.classList.add('timeline');
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement('div');
stationNameDiv.classList.add('station-name');
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement('div');
departureTimeDiv.classList.add('station-time');
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
});
});
}
</script>
</body>
</html>
|
cb3049f4f1e3b6844f83b217bfb347d8
|
{
"intermediate": 0.28852519392967224,
"beginner": 0.4481089115142822,
"expert": 0.2633659243583679
}
|
36,658
|
edit this code to display the timeline and station with green colour from departure to destination, default colours station before departure and station after destination
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
<title>Bus Schedule and Timeline</title>
<link rel=“stylesheet” href=“https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css”>
<style>
body {
font-family: ‘Roboto’, sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: “”;
position: absolute;
top: 50%;
bottom: -60%;
/* Adjust this value as needed */
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: “”;
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
</style>
</head>
<body>
<div class=“container mx-auto px-4”>
<h1 class=“text-3xl font-bold text-center my-4”>Bus Schedule</h1>
<div class=“grid grid-cols-2 gap-4”>
<div class=“bg-gray-100 p-4 rounded-md”>
<label for=“departure” class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”>Departure</label>
<input type=“text” id=“departure” class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white” placeholder=“Enter departure”>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<label for=“destination” class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”>Destination</label>
<input type=“text” id=“destination” class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white” placeholder=“Enter destination”>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<label for=“time” class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”>Time</label>
<input type=“time” id=“time” class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<button type=“submit” onclick=“submitForm()” class=“bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg”>Submit</button>
</div>
</div>
</div>
<div class=“bg-gray-100 font-roboto”>
<div class=“max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2”>
<div class=“mt-8” id=“scheduleContainer”>
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById(‘departure’).value;
const destination = document.getElementById(‘destination’).value;
// const time = document.getElementById(‘time’).value;
const time = ‘12:24’
// Make API request
const apiUrl = https://busapi.amithv.xyz/api/v1/schedules?departure=${encodeURIComponent(departure)}&destination=${encodeURIComponent(destination)}&time=${encodeURIComponent(time)};
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData);
} catch (error) {
console.error(‘Error fetching data:’, error);
}
}
function updateSchedule(scheduleData) {
const scheduleContainer = document.getElementById(‘scheduleContainer’);
scheduleContainer.innerHTML = ‘’; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement(‘div’);
vehicleDiv.textContent = Vehicle Number: ${trip.vehicle_number}, Trip: ${trip.trip};
scheduleContainer.appendChild(vehicleDiv);
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement(‘div’);
stationDiv.classList.add(‘station’);
let arrivalTimeDiv = document.createElement(‘div’);
arrivalTimeDiv.classList.add(‘station-time’);
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
// Create time-wrapper and its children elements: hoi and timeline
let timeWrapperDiv = document.createElement(‘div’);
timeWrapperDiv.classList.add(‘time-wrapper’);
let hoiDiv = document.createElement(‘div’);
hoiDiv.classList.add(‘hoi’);
timeWrapperDiv.appendChild(hoiDiv);
// Only add a timeline if it is not the last station of the current trip
if (stationIndex !== trip.stations.length - 1) {
let timelineDiv = document.createElement(‘div’);
timelineDiv.classList.add(‘timeline’);
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement(‘div’);
stationNameDiv.classList.add(‘station-name’);
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement(‘div’);
departureTimeDiv.classList.add(‘station-time’);
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
});
});
}
</script>
</body>
</html>
|
2c8faf5542a413f499fdd1726b28eb65
|
{
"intermediate": 0.33550959825515747,
"beginner": 0.46906739473342896,
"expert": 0.19542303681373596
}
|
36,659
|
review this contract to find vulnerbality // SPDX-License-Identifier: UNLICENSED
pragma solidity 0.8.18;
import {Initializable} from "@openzeppelin/contracts-upgradeable/proxy/utils/Initializable.sol";
import {IXNFTFactory} from "./interfaces/IXNFTFactory.sol";
import {IXNFTClone} from "./interfaces/IXNFTClone.sol";
import {IXNFTLiquidityPool} from "./interfaces/IXNFTLiquidityPool.sol";
import {IERC20} from "./interfaces/IERC20.sol";
//
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@(
// (@@@@@@@@@@@@#,,,,,,,,,,,,,,,,,,,,,,,,.
// (@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@%.
// (@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@%.
// (@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@%.
// (@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@%.
// /&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&(.
// Created for locksonic.io
// <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>
/// @title XNFT Liquidity Pool Contract
/// @author Wilson A.
/// @notice Used for claiming and redemption of liquidity
contract XNFTLiquidityPool is Initializable, IXNFTLiquidityPool {
uint256 private redemption;
uint256 private accountId;
IXNFTFactory private xnftFactory;
IXNFTClone private xnftClone;
uint32 internal constant FEE_DENOMINATOR = 10_000;
modifier onlyFactory() {
require(msg.sender == address(xnftFactory), "only factory");
_;
}
function initialize(
address xnftCloneAddress,
uint256 _accountId
) public initializer {
accountId = _accountId;
xnftClone = IXNFTClone(xnftCloneAddress);
xnftFactory = IXNFTFactory(msg.sender);
}
/// @custom:oz-upgrades-unsafe-allow constructor
constructor() {
_disableInitializers();
}
// --- Redeem Functions --- //
/**
* @dev Redeems a token for the caller, transferring it to their address and paying the redemption fee.
* @param tokenId The ID of the token to be redeemed.
* @notice This function allows a user to redeem a token associated with their account, paying the redemption fee.
* @dev Requirements:
* - The caller must be the owner of the token.
* - The caller must be an EOA.
* - The account must have tokens available for redemption.
* - The contract must not be paused.
*/
function redeem(address requestor, uint256 tokenId) external onlyFactory {
require(xnftFactory.mintCount(accountId) > redemption, "all redeemed");
require(xnftClone.ownerOf(tokenId) == requestor, "not owner");
uint256 redemptionPrice = redeemPrice();
++redemption;
_unwrap();
_redeem(requestor, tokenId, redemptionPrice);
}
/**
* @dev Claims a token, transferring it to the caller's address and paying the required amount.
* @param tokenId The ID of the token to be claimed.
* @notice This function allows a user to claim a token associated with their account, paying the claim fee.
* @dev Requirements:
* - The token must be eligible for claiming (previously redeemed).
* - The caller must be an EOA.
* - The caller must send the correct amount of Ether for claiming.
* - The contract must not be paused.
*/
function claim(
address requestor,
uint256 tokenId
) external payable onlyFactory {
require(redemption > 0, "all claimed");
require(xnftClone.ownerOf(tokenId) == address(this), "not claimable");
(, , , , uint256 mintPrice, address accountFeeAddress, ) = xnftFactory
.accounts(accountId);
uint256 redemptionPrice = _calcRedeemPrice(msg.value);
uint256 royaltyFeeBps = xnftFactory.royaltyFeeBps();
uint256 marketplaceSecondaryFeeBps = xnftFactory
.marketplaceSecondaryFeeBps();
uint256 expectedPrice = mintPrice;
uint256 basePrice = mintPrice;
if (redemptionPrice > 0) {
expectedPrice = (redemptionPrice * FEE_DENOMINATOR) / 9000;
basePrice = (expectedPrice * 9950) / FEE_DENOMINATOR;
}
require(msg.value >= basePrice, "insufficient amount for claim");
uint256 royaltyFee = (expectedPrice * royaltyFeeBps) / FEE_DENOMINATOR;
uint256 liquidityPool = (expectedPrice *
(FEE_DENOMINATOR - marketplaceSecondaryFeeBps - royaltyFeeBps)) /
FEE_DENOMINATOR;
uint256 marketplaceFee = msg.value >= expectedPrice
? expectedPrice - royaltyFee - liquidityPool
: msg.value - royaltyFee - liquidityPool;
--redemption;
_unwrap();
_claim(requestor, tokenId);
_sendFees(xnftFactory.marketplaceFeeAddress(), marketplaceFee);
_sendFees(accountFeeAddress, royaltyFee);
if (msg.value > expectedPrice)
_sendFees(requestor, msg.value - expectedPrice);
}
function accountTvl() public view returns (uint256) {
return
address(this).balance +
IERC20(xnftFactory.wethAddress()).balanceOf(address(this));
}
function _calcRedeemPrice(
uint256 msgValue
) internal view returns (uint256) {
if (xnftFactory.mintCount(accountId) == redemption) return 0;
uint256 assetAmount = accountTvl() - msgValue;
uint256 redemptionPrice = assetAmount /
(xnftFactory.mintCount(accountId) - redemption);
return redemptionPrice;
}
/**
* @dev Calculates the redemption price for this pool.
* @return uint256 The redemption price.
* @notice This function calculates the redemption price for an account's tokens based on the available assets.
* If all tokens have been redeemed, the redemption price is 0.
*/
function redeemPrice() public view returns (uint256) {
if (xnftFactory.mintCount(accountId) == redemption) return 0;
uint256 assetAmount = accountTvl();
uint256 redemptionPrice = assetAmount /
(xnftFactory.mintCount(accountId) - redemption);
return redemptionPrice;
}
// -- Internal Functions --//
function _sendFees(address feeAddress, uint256 amount) internal {
if (amount == 0) return;
(bool success, ) = payable(feeAddress).call{value: amount}("");
require(success, "fee transfer failed");
}
function _redeem(
address user,
uint256 tokenId,
uint256 redemptionPrice
) internal {
xnftClone.nftRedemption(user, tokenId);
_sendFees(user, redemptionPrice);
}
function _claim(address user, uint256 tokenId) internal {
xnftClone.transferFrom(address(this), user, tokenId);
}
function _unwrap() internal {
IERC20 weth = IERC20(xnftFactory.wethAddress());
weth.withdraw(weth.balanceOf(address(this)));
}
receive() external payable {}
uint256[46] __gap;
}
|
5391f1c3004dc7582eefa24a35aaa3a0
|
{
"intermediate": 0.348481148481369,
"beginner": 0.28991708159446716,
"expert": 0.36160174012184143
}
|
36,660
|
edit this code to display the timeline and station with green colour from departure to destination, default colours station before departure and station after destination
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Bus Schedule and Timeline</title>
<link rel="stylesheet" href="https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css">
<style>
body {
font-family: 'Roboto', sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: "";
position: absolute;
top: 50%;
bottom: -60%;
/* Adjust this value as needed */
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: "";
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
</style>
</head>
<body>
<div class="container mx-auto px-4">
<h1 class="text-3xl font-bold text-center my-4">Bus Schedule</h1>
<div class="grid grid-cols-2 gap-4">
<div class="bg-gray-100 p-4 rounded-md">
<label for="departure" class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300">Departure</label>
<input type="text" id="departure" class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white" placeholder="Enter departure">
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label for="destination" class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300">Destination</label>
<input type="text" id="destination" class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white" placeholder="Enter destination">
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label for="time" class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300">Time</label>
<input type="time" id="time" class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white">
</div>
<div class="bg-gray-100 p-4 rounded-md">
<button type="submit" onclick="submitForm()" class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg">Submit</button>
</div>
</div>
</div>
<div class="bg-gray-100 font-roboto">
<div class="max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2">
<div class="mt-8" id="scheduleContainer">
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById('departure').value;
const destination = document.getElementById('destination').value;
// const time = document.getElementById('time').value;
const time = '12:24'
// Make API request
const apiUrl = `https://busapi.amithv.xyz/api/v1/schedules?departure=${encodeURIComponent(departure)}&destination=${encodeURIComponent(destination)}&time=${encodeURIComponent(time)}`;
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData);
} catch (error) {
console.error('Error fetching data:', error);
}
}
function updateSchedule(scheduleData) {
const scheduleContainer = document.getElementById('scheduleContainer');
scheduleContainer.innerHTML = ''; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement('div');
vehicleDiv.textContent = `Vehicle Number: ${trip.vehicle_number}, Trip: ${trip.trip}`;
scheduleContainer.appendChild(vehicleDiv);
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement('div');
stationDiv.classList.add('station');
let arrivalTimeDiv = document.createElement('div');
arrivalTimeDiv.classList.add('station-time');
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
// Create time-wrapper and its children elements: hoi and timeline
let timeWrapperDiv = document.createElement('div');
timeWrapperDiv.classList.add('time-wrapper');
let hoiDiv = document.createElement('div');
hoiDiv.classList.add('hoi');
timeWrapperDiv.appendChild(hoiDiv);
// Only add a timeline if it is not the last station of the current trip
if (stationIndex !== trip.stations.length - 1) {
let timelineDiv = document.createElement('div');
timelineDiv.classList.add('timeline');
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement('div');
stationNameDiv.classList.add('station-name');
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement('div');
departureTimeDiv.classList.add('station-time');
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
});
});
}
</script>
</body>
</html>
|
2d5cc7cde6684da957549a940c5408db
|
{
"intermediate": 0.3034868836402893,
"beginner": 0.4495666027069092,
"expert": 0.24694646894931793
}
|
36,661
|
IN THIS CONTRACT // SPDX-License-Identifier: MIT
pragma solidity ^0.8.20;
import {IErrorsTokenomics} from "./interfaces/IErrorsTokenomics.sol";
import {IGenericBondCalculator} from "./interfaces/IGenericBondCalculator.sol";
import {IToken} from "./interfaces/IToken.sol";
import {ITokenomics} from "./interfaces/ITokenomics.sol";
import {ITreasury} from "./interfaces/ITreasury.sol";
/*
* In this contract we consider OLAS tokens. The initial numbers will be as follows:
* - For the first 10 years there will be the cap of 1 billion (1e27) tokens;
* - After 10 years, the inflation rate is capped at 2% per year.
* Starting from a year 11, the maximum number of tokens that can be reached per the year x is 1e27 * (1.02)^x.
* To make sure that a unit(n) does not overflow the total supply during the year x, we have to check that
* 2^n - 1 >= 1e27 * (1.02)^x. We limit n by 96, thus it would take 220+ years to reach that total supply.
*
* We then limit each time variable to last until the value of 2^32 - 1 in seconds.
* 2^32 - 1 gives 136+ years counted in seconds starting from the year 1970.
* Thus, this counter is safe until the year 2106.
*
* The number of blocks cannot be practically bigger than the number of seconds, since there is more than one second
* in a block. Thus, it is safe to assume that uint32 for the number of blocks is also sufficient.
*
* In conclusion, this contract is only safe to use until 2106.
*/
// The size of the struct is 160 + 96 + 32 * 2 = 256 + 64 (2 slots)
struct Bond {
// Account address
address account;
// OLAS remaining to be paid out
// After 10 years, the OLAS inflation rate is 2% per year. It would take 220+ years to reach 2^96 - 1
uint96 payout;
// Bond maturity time
// 2^32 - 1 is enough to count 136 years starting from the year of 1970. This counter is safe until the year of 2106
uint32 maturity;
// Product Id of a bond
// We assume that the number of products will not be bigger than the number of seconds
uint32 productId;
}
// The size of the struct is 160 + 32 + 160 + 96 = 256 + 192 (2 slots)
struct Product {
// priceLP (reserve0 / totalSupply or reserve1 / totalSupply) with 18 additional decimals
// priceLP = 2 * r0/L * 10^18 = 2*r0*10^18/sqrt(r0*r1) ~= 61 + 96 - sqrt(96 * 112) ~= 53 bits (if LP is balanced)
// or 2* r0/sqrt(r0) * 10^18 => 87 bits + 60 bits = 147 bits (if LP is unbalanced)
uint160 priceLP;
// Bond vesting time
// 2^32 - 1 is enough to count 136 years starting from the year of 1970. This counter is safe until the year of 2106
uint32 vesting;
// Token to accept as a payment
address token;
// Supply of remaining OLAS tokens
// After 10 years, the OLAS inflation rate is 2% per year. It would take 220+ years to reach 2^96 - 1
uint96 supply;
}
/// @title Bond Depository - Smart contract for OLAS Bond Depository
/// @author AL
/// @author Aleksandr Kuperman - <aleksandr.kuperman@valory.xyz>
contract Depository is IErrorsTokenomics {
event OwnerUpdated(address indexed owner);
event TokenomicsUpdated(address indexed tokenomics);
event TreasuryUpdated(address indexed treasury);
event BondCalculatorUpdated(address indexed bondCalculator);
event CreateBond(address indexed token, uint256 indexed productId, address indexed owner, uint256 bondId,
uint256 amountOLAS, uint256 tokenAmount, uint256 maturity);
event RedeemBond(uint256 indexed productId, address indexed owner, uint256 bondId);
event CreateProduct(address indexed token, uint256 indexed productId, uint256 supply, uint256 priceLP,
uint256 vesting);
event CloseProduct(address indexed token, uint256 indexed productId, uint256 supply);
// Minimum bond vesting value
uint256 public constant MIN_VESTING = 1 days;
// Depository version number
string public constant VERSION = "1.0.1";
// Owner address
address public owner;
// Individual bond counter
// We assume that the number of bonds will not be bigger than the number of seconds
uint32 public bondCounter;
// Bond product counter
// We assume that the number of products will not be bigger than the number of seconds
uint32 public productCounter;
// OLAS token address
address public immutable olas;
// Tkenomics contract address
address public tokenomics;
// Treasury contract address
address public treasury;
// Bond Calculator contract address
address public bondCalculator;
// Mapping of bond Id => account bond instance
mapping(uint256 => Bond) public mapUserBonds;
// Mapping of product Id => bond product instance
mapping(uint256 => Product) public mapBondProducts;
/// @dev Depository constructor.
/// @param _olas OLAS token address.
/// @param _treasury Treasury address.
/// @param _tokenomics Tokenomics address.
constructor(address _olas, address _tokenomics, address _treasury, address _bondCalculator)
{
owner = msg.sender;
// Check for at least one zero contract address
if (_olas == address(0) || _tokenomics == address(0) || _treasury == address(0) || _bondCalculator == address(0)) {
revert ZeroAddress();
}
olas = _olas;
tokenomics = _tokenomics;
treasury = _treasury;
bondCalculator = _bondCalculator;
}
/// @dev Changes the owner address.
/// @param newOwner Address of a new owner.
/// #if_succeeds {:msg "Changing owner"} old(owner) == msg.sender ==> owner == newOwner;
function changeOwner(address newOwner) external {
// Check for the contract ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Check for the zero address
if (newOwner == address(0)) {
revert ZeroAddress();
}
owner = newOwner;
emit OwnerUpdated(newOwner);
}
/// @dev Changes various managing contract addresses.
/// @param _tokenomics Tokenomics address.
/// @param _treasury Treasury address.
/// #if_succeeds {:msg "tokenomics changed"} _tokenomics != address(0) ==> tokenomics == _tokenomics;
/// #if_succeeds {:msg "treasury changed"} _treasury != address(0) ==> treasury == _treasury;
function changeManagers(address _tokenomics, address _treasury) external {
// Check for the contract ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Change Tokenomics contract address
if (_tokenomics != address(0)) {
tokenomics = _tokenomics;
emit TokenomicsUpdated(_tokenomics);
}
// Change Treasury contract address
if (_treasury != address(0)) {
treasury = _treasury;
emit TreasuryUpdated(_treasury);
}
}
/// @dev Changes Bond Calculator contract address
/// #if_succeeds {:msg "bondCalculator changed"} _bondCalculator != address(0) ==> bondCalculator == _bondCalculator;
function changeBondCalculator(address _bondCalculator) external {
// Check for the contract ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
if (_bondCalculator != address(0)) {
bondCalculator = _bondCalculator;
emit BondCalculatorUpdated(_bondCalculator);
}
}
/// @dev Creates a new bond product.
/// @param token LP token to be deposited for pairs like OLAS-DAI, OLAS-ETH, etc.
/// @param priceLP LP token price with 18 additional decimals.
/// @param supply Supply in OLAS tokens.
/// @param vesting Vesting period (in seconds).
/// @return productId New bond product Id.
/// #if_succeeds {:msg "productCounter increases"} productCounter == old(productCounter) + 1;
/// #if_succeeds {:msg "isActive"} mapBondProducts[productId].supply > 0 && mapBondProducts[productId].vesting == vesting;
function create(address token, uint256 priceLP, uint256 supply, uint256 vesting) external returns (uint256 productId) {
// Check for the contract ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Check for the pool liquidity as the LP price being greater than zero
if (priceLP == 0) {
revert ZeroValue();
}
// Check the priceLP limit value
if (priceLP > type(uint160).max) {
revert Overflow(priceLP, type(uint160).max);
}
// Check that the supply is greater than zero
if (supply == 0) {
revert ZeroValue();
}
// Check the supply limit value
if (supply > type(uint96).max) {
revert Overflow(supply, type(uint96).max);
}
// Check the vesting minimum limit value
if (vesting < MIN_VESTING) {
revert LowerThan(vesting, MIN_VESTING);
}
// Check for the maturity time overflow for the current timestamp
uint256 maturity = block.timestamp + vesting;
if (maturity > type(uint32).max) {
revert Overflow(maturity, type(uint32).max);
}
// Check if the LP token is enabled
if (!ITreasury(treasury).isEnabled(token)) {
revert UnauthorizedToken(token);
}
// Check if the bond amount is beyond the limits
if (!ITokenomics(tokenomics).reserveAmountForBondProgram(supply)) {
revert LowerThan(ITokenomics(tokenomics).effectiveBond(), supply);
}
// Push newly created bond product into the list of products
productId = productCounter;
mapBondProducts[productId] = Product(uint160(priceLP), uint32(vesting), token, uint96(supply));
// Even if we create a bond product every second, 2^32 - 1 is enough for the next 136 years
productCounter = uint32(productId + 1);
emit CreateProduct(token, productId, supply, priceLP, vesting);
}
/// @dev Closes bonding products.
/// @notice This will terminate programs regardless of their vesting time.
/// @param productIds Set of product Ids.
/// @return closedProductIds Set of closed product Ids.
/// #if_succeeds {:msg "productCounter not touched"} productCounter == old(productCounter);
/// #if_succeeds {:msg "success closed"} forall (uint k in productIds) mapBondProducts[productIds[k]].vesting == 0 && mapBondProducts[productIds[k]].supply == 0;
function close(uint256[] memory productIds) external returns (uint256[] memory closedProductIds) {
// Check for the contract ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Calculate the number of closed products
uint256 numProducts = productIds.length;
uint256[] memory ids = new uint256[](numProducts);
uint256 numClosedProducts;
// Traverse to close all possible products
for (uint256 i = 0; i < numProducts; ++i) {
uint256 productId = productIds[i];
// Check if the product is still open by getting its supply amount
uint256 supply = mapBondProducts[productId].supply;
// The supply is greater than zero only if the product is active, otherwise it is already closed
if (supply > 0) {
// Refund unused OLAS supply from the product if it was not used by the product completely
ITokenomics(tokenomics).refundFromBondProgram(supply);
address token = mapBondProducts[productId].token;
delete mapBondProducts[productId];
ids[numClosedProducts] = productIds[i];
++numClosedProducts;
emit CloseProduct(token, productId, supply);
}
}
// Get the correct array size of closed product Ids
closedProductIds = new uint256[](numClosedProducts);
for (uint256 i = 0; i < numClosedProducts; ++i) {
closedProductIds[i] = ids[i];
}
}
/// @dev Deposits tokens in exchange for a bond from a specified product.
/// @param productId Product Id.
/// @param tokenAmount Token amount to deposit for the bond.
/// @return payout The amount of OLAS tokens due.
/// @return maturity Timestamp for payout redemption.
/// @return bondId Id of a newly created bond.
/// #if_succeeds {:msg "token is valid"} mapBondProducts[productId].token != address(0);
/// #if_succeeds {:msg "input supply is non-zero"} old(mapBondProducts[productId].supply) > 0 && mapBondProducts[productId].supply <= type(uint96).max;
/// #if_succeeds {:msg "vesting is non-zero"} mapBondProducts[productId].vesting > 0 && mapBondProducts[productId].vesting + block.timestamp <= type(uint32).max;
/// #if_succeeds {:msg "bond Id"} bondCounter == old(bondCounter) + 1 && bondCounter <= type(uint32).max;
/// #if_succeeds {:msg "payout"} old(mapBondProducts[productId].supply) == mapBondProducts[productId].supply + payout;
/// #if_succeeds {:msg "OLAS balances"} IToken(mapBondProducts[productId].token).balanceOf(treasury) == old(IToken(mapBondProducts[productId].token).balanceOf(treasury)) + tokenAmount;
function deposit(uint256 productId, uint256 tokenAmount) external
returns (uint256 payout, uint256 maturity, uint256 bondId)
{
// Check the token amount
if (tokenAmount == 0) {
revert ZeroValue();
}
// Get the bonding product
Product storage product = mapBondProducts[productId];
// Check for the product supply, which is zero if the product was closed or never existed
uint256 supply = product.supply;
if (supply == 0) {
revert ProductClosed(productId);
}
// Calculate the bond maturity based on its vesting time
maturity = block.timestamp + product.vesting;
// Check for the time limits
if (maturity > type(uint32).max) {
revert Overflow(maturity, type(uint32).max);
}
// Get the LP token address
address token = product.token;
// Calculate the payout in OLAS tokens based on the LP pair with the discount factor (DF) calculation
// Note that payout cannot be zero since the price LP is non-zero, otherwise the product would not be created
payout = IGenericBondCalculator(bondCalculator).calculatePayoutOLAS(tokenAmount, product.priceLP);
// Check for the sufficient supply
if (payout > supply) {
revert ProductSupplyLow(token, productId, payout, supply);
}
// Decrease the supply for the amount of payout
supply -= payout;
product.supply = uint96(supply);
// Create and add a new bond, update the bond counter
bondId = bondCounter;
mapUserBonds[bondId] = Bond(msg.sender, uint96(payout), uint32(maturity), uint32(productId));
bondCounter = uint32(bondId + 1);
// Deposit that token amount to mint OLAS tokens in exchange
ITreasury(treasury).depositTokenForOLAS(msg.sender, tokenAmount, token, payout);
// Close the product if the supply becomes zero
if (supply == 0) {
delete mapBondProducts[productId];
emit CloseProduct(token, productId, supply);
}
emit CreateBond(token, productId, msg.sender, bondId, payout, tokenAmount, maturity);
}
/// @dev Redeems account bonds.
/// @param bondIds Bond Ids to redeem.
/// @return payout Total payout sent in OLAS tokens.
/// #if_succeeds {:msg "payout > 0"} payout > 0;
/// #if_succeeds {:msg "msg.sender is the only owner"} old(forall (uint k in bondIds) mapUserBonds[bondIds[k]].account == msg.sender);
/// #if_succeeds {:msg "accounts deleted"} forall (uint k in bondIds) mapUserBonds[bondIds[k]].account == address(0);
/// #if_succeeds {:msg "payouts are zeroed"} forall (uint k in bondIds) mapUserBonds[bondIds[k]].payout == 0;
/// #if_succeeds {:msg "maturities are zeroed"} forall (uint k in bondIds) mapUserBonds[bondIds[k]].maturity == 0;
function redeem(uint256[] memory bondIds) external returns (uint256 payout) {
for (uint256 i = 0; i < bondIds.length; ++i) {
// Get the amount to pay and the maturity status
uint256 pay = mapUserBonds[bondIds[i]].payout;
bool matured = block.timestamp >= mapUserBonds[bondIds[i]].maturity;
// Revert if the bond does not exist or is not matured yet
if (pay == 0 || !matured) {
revert BondNotRedeemable(bondIds[i]);
}
// Check that the msg.sender is the owner of the bond
if (mapUserBonds[bondIds[i]].account != msg.sender) {
revert OwnerOnly(msg.sender, mapUserBonds[bondIds[i]].account);
}
// Increase the payout
payout += pay;
// Get the productId
uint256 productId = mapUserBonds[bondIds[i]].productId;
// Delete the Bond struct and release the gas
delete mapUserBonds[bondIds[i]];
emit RedeemBond(productId, msg.sender, bondIds[i]);
}
// Check for the non-zero payout
if (payout == 0) {
revert ZeroValue();
}
// No reentrancy risk here since it's the last operation, and originated from the OLAS token
// No need to check for the return value, since it either reverts or returns true, see the ERC20 implementation
IToken(olas).transfer(msg.sender, payout);
}
/// @dev Gets an array of active or inactive product Ids.
/// @param active Flag to select active or inactive products.
/// @return productIds Product Ids.
function getProducts(bool active) external view returns (uint256[] memory productIds) {
// Calculate the number of existing products
uint256 numProducts = productCounter;
bool[] memory positions = new bool[](numProducts);
uint256 numSelectedProducts;
// Traverse to find requested products
for (uint256 i = 0; i < numProducts; ++i) {
// Product is always active if its supply is not zero, and inactive otherwise
if ((active && mapBondProducts[i].supply > 0) || (!active && mapBondProducts[i].supply == 0)) {
positions[i] = true;
++numSelectedProducts;
}
}
// Form active or inactive products index array
productIds = new uint256[](numSelectedProducts);
uint256 numPos;
for (uint256 i = 0; i < numProducts; ++i) {
if (positions[i]) {
productIds[numPos] = i;
++numPos;
}
}
}
/// @dev Gets activity information about a given product.
/// @param productId Product Id.
/// @return status True if the product is active.
function isActiveProduct(uint256 productId) external view returns (bool status) {
status = (mapBondProducts[productId].supply > 0);
}
/// @dev Gets bond Ids for the account address.
/// @param account Account address to query bonds for.
/// @param matured Flag to get matured bonds only or all of them.
/// @return bondIds Bond Ids.
/// @return payout Cumulative expected OLAS payout.
/// #if_succeeds {:msg "matured bonds"} matured == true ==> forall (uint k in bondIds)
/// mapUserBonds[bondIds[k]].account == account && block.timestamp >= mapUserBonds[bondIds[k]].maturity;
function getBonds(address account, bool matured) external view
returns (uint256[] memory bondIds, uint256 payout)
{
// Check the address
if (account == address(0)) {
revert ZeroAddress();
}
uint256 numAccountBonds;
// Calculate the number of pending bonds
uint256 numBonds = bondCounter;
bool[] memory positions = new bool[](numBonds);
// Record the bond number if it belongs to the account address and was not yet redeemed
for (uint256 i = 0; i < numBonds; ++i) {
// Check if the bond belongs to the account
// If not and the address is zero, the bond was redeemed or never existed
if (mapUserBonds[i].account == account) {
// Check if requested bond is not matured but owned by the account address
if (!matured ||
// Or if the requested bond is matured, i.e., the bond maturity timestamp passed
block.timestamp >= mapUserBonds[i].maturity)
{
positions[i] = true;
++numAccountBonds;
// The payout is always bigger than zero if the bond exists
payout += mapUserBonds[i].payout;
}
}
}
// Form pending bonds index array
bondIds = new uint256[](numAccountBonds);
uint256 numPos;
for (uint256 i = 0; i < numBonds; ++i) {
if (positions[i]) {
bondIds[numPos] = i;
++numPos;
}
}
}
/// @dev Calculates the maturity and payout to claim for a single bond.
/// @param bondId The account bond Id.
/// @return payout The payout amount in OLAS.
/// @return matured True if the payout can be redeemed.
function getBondStatus(uint256 bondId) external view returns (uint256 payout, bool matured) {
payout = mapUserBonds[bondId].payout;
// If payout is zero, the bond has been redeemed or never existed
if (payout > 0) {
matured = block.timestamp >= mapUserBonds[bondId].maturity;
}
}
/// @dev Gets current reserves of OLAS / totalSupply of LP tokens.
/// @param token Token address.
/// @return priceLP Resulting reserveX / totalSupply ratio with 18 decimals.
function getCurrentPriceLP(address token) external view returns (uint256 priceLP) {
return IGenericBondCalculator(bondCalculator).getCurrentPriceLP(token);
}
} he redemption loop is a critical part of the redeem function. Here's how it works:
Loop through each bondId provided in the bondIds array.
For each bondId, retrieve the bond details from mapUserBonds.
Check if the bond has matured by comparing the current timestamp with the bond's maturity time.
Verify that the caller is the owner of the bond.
If the bond is matured and owned by the caller, add the bond's payout to the total payout amount to be redeemed.
Delete the bond from mapUserBonds to prevent reclamation.
Emit the RedeemBond event with the productId, owner's address, and bondId.
After the loop, the function transfers the total payout amount in OLAS tokens to the caller's address using the OLAS token's transfer function.
This diagram now includes the deposit and redemption processes. Are there any other components or interactions within the contract that we should include in the diagram?
|
724f608763c9eea1d2483346d7bdc6ce
|
{
"intermediate": 0.2985420823097229,
"beginner": 0.24770040810108185,
"expert": 0.45375752449035645
}
|
36,662
|
optimize the javascript
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Bus Schedule and Timeline</title>
<link
rel="stylesheet"
href="https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css"
/>
<style>
body {
font-family: "Roboto", sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: "";
position: absolute;
top: 50%;
bottom: -60%;
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: "";
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
.green-bg {
background-color: #10b981;
}
.green-border {
border-color: #10b981;
}
.green-line {
border-left-color: #10b981;
}
</style>
</head>
<body>
<div class="container mx-auto px-4">
<h1 class="text-3xl font-bold text-center my-4">Bus Schedule</h1>
<div class="grid grid-cols-2 gap-4">
<div class="bg-gray-100 p-4 rounded-md">
<label
for="departure"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Departure</label
>
<input
type="text"
id="departure"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
placeholder="Enter departure"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label
for="destination"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Destination</label
>
<input
type="text"
id="destination"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
placeholder="Enter destination"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label
for="time"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Time</label
>
<input
type="time"
id="time"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<button
type="submit"
onclick="submitForm()"
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg"
>
Submit
</button>
</div>
</div>
</div>
<div class="bg-gray-100 font-roboto">
<div class="max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2">
<div class="mt-8" id="scheduleContainer">
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById("departure").value;
const destination = document.getElementById("destination").value;
// const time = document.getElementById('time').value;
const time = "12:24";
// Make API request
const apiUrl = `https://busapi.amithv.xyz/api/v1/schedules?departure=${encodeURIComponent(
departure
)}&destination=${encodeURIComponent(destination)}`;
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData);
} catch (error) {
console.error("Error fetching data:", error);
}
}
function updateSchedule(scheduleData) {
const departure = document
.getElementById("departure")
.value.toUpperCase();
const destination = document
.getElementById("destination")
.value.toUpperCase();
const scheduleContainer = document.getElementById("scheduleContainer");
scheduleContainer.innerHTML = ""; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement("div");
vehicleDiv.textContent = `Vehicle Number: ${trip.vehicle_number}, Trip: ${trip.trip}`;
scheduleContainer.appendChild(vehicleDiv);
let hasDeparted = false;
let hasArrived = false;
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement("div");
stationDiv.classList.add("station");
if (station.station.toUpperCase().startsWith(departure)) {
hasDeparted = true;
}
let arrivalTimeDiv = document.createElement("div");
arrivalTimeDiv.classList.add("station-time");
if (hasDeparted && !hasArrived) {
arrivalTimeDiv.classList.add("green-bg");
}
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
let timeWrapperDiv = document.createElement("div");
timeWrapperDiv.classList.add("time-wrapper");
let hoiDiv = document.createElement("div");
hoiDiv.classList.add("hoi");
if (hasDeparted && !hasArrived) {
hoiDiv.classList.add("green-border");
}
timeWrapperDiv.appendChild(hoiDiv);
if (stationIndex !== trip.stations.length - 1 && !hasArrived) {
let timelineDiv = document.createElement("div");
timelineDiv.classList.add("timeline");
if (
hasDeparted &&
!hasArrived &&
!station.station.toUpperCase().startsWith(destination)
) {
timelineDiv.classList.add("green-line");
}
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement("div");
stationNameDiv.classList.add("station-name");
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement("div");
departureTimeDiv.classList.add("station-time");
if (hasDeparted && !hasArrived) {
departureTimeDiv.classList.add("green-bg");
}
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
if (station.station.toUpperCase().startsWith(destination)) {
hasArrived = true;
}
});
});
}
</script>
</body>
</html>
|
42875bd42cfd36cae94a2be4dfe50e95
|
{
"intermediate": 0.33717259764671326,
"beginner": 0.3611977994441986,
"expert": 0.3016296625137329
}
|
36,663
|
hi
|
00da3acc0a43cfe486bc16f0a4f5e632
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
36,664
|
let's review this contract // SPDX-License-Identifier: MIT
pragma solidity ^0.8.18;
import "./interfaces/IErrorsTokenomics.sol";
import "./interfaces/ITokenomics.sol";
import "./interfaces/ITreasury.sol";
/// @title Dispenser - Smart contract for distributing incentives
/// @author AL
/// @author Aleksandr Kuperman - <aleksandr.kuperman@valory.xyz>
contract Dispenser is IErrorsTokenomics {
event OwnerUpdated(address indexed owner);
event TokenomicsUpdated(address indexed tokenomics);
event TreasuryUpdated(address indexed treasury);
event IncentivesClaimed(address indexed owner, uint256 reward, uint256 topUp);
// Owner address
address public owner;
// Reentrancy lock
uint8 internal _locked;
// Tokenomics contract address
address public tokenomics;
// Treasury contract address
address public treasury;
/// @dev Dispenser constructor.
/// @param _tokenomics Tokenomics address.
/// @param _treasury Treasury address.
constructor(address _tokenomics, address _treasury)
{
owner = msg.sender;
_locked = 1;
// Check for at least one zero contract address
if (_tokenomics == address(0) || _treasury == address(0)) {
revert ZeroAddress();
}
tokenomics = _tokenomics;
treasury = _treasury;
}
/// @dev Changes the owner address.
/// @param newOwner Address of a new owner.
function changeOwner(address newOwner) external {
// Check for the contract ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Check for the zero address
if (newOwner == address(0)) {
revert ZeroAddress();
}
owner = newOwner;
emit OwnerUpdated(newOwner);
}
/// @dev Changes various managing contract addresses.
/// @param _tokenomics Tokenomics address.
/// @param _treasury Treasury address.
function changeManagers(address _tokenomics, address _treasury) external {
// Check for the contract ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Change Tokenomics contract address
if (_tokenomics != address(0)) {
tokenomics = _tokenomics;
emit TokenomicsUpdated(_tokenomics);
}
// Change Treasury contract address
if (_treasury != address(0)) {
treasury = _treasury;
emit TreasuryUpdated(_treasury);
}
}
/// @dev Claims incentives for the owner of components / agents.
/// @notice `msg.sender` must be the owner of components / agents they are passing, otherwise the function will revert.
/// @notice If not all `unitIds` belonging to `msg.sender` were provided, they will be untouched and keep accumulating.
/// @param unitTypes Set of unit types (component / agent).
/// @param unitIds Set of corresponding unit Ids where account is the owner.
/// @return reward Reward amount in ETH.
/// @return topUp Top-up amount in OLAS.
function claimOwnerIncentives(uint256[] memory unitTypes, uint256[] memory unitIds) external
returns (uint256 reward, uint256 topUp)
{
// Reentrancy guard
if (_locked > 1) {
revert ReentrancyGuard();
}
_locked = 2;
// Calculate incentives
(reward, topUp) = ITokenomics(tokenomics).accountOwnerIncentives(msg.sender, unitTypes, unitIds);
bool success;
// Request treasury to transfer funds to msg.sender if reward > 0 or topUp > 0
if ((reward + topUp) > 0) {
success = ITreasury(treasury).withdrawToAccount(msg.sender, reward, topUp);
}
// Check if the claim is successful and has at least one non-zero incentive.
if (!success) {
revert ClaimIncentivesFailed(msg.sender, reward, topUp);
}
emit IncentivesClaimed(msg.sender, reward, topUp);
_locked = 1;
}
} here is the interfaces/IErrorsTokenomics.sol"; // SPDX-License-Identifier: MIT
pragma solidity ^0.8.18;
/// @dev Errors.
interface IErrorsTokenomics {
/// @dev Only `manager` has a privilege, but the `sender` was provided.
/// @param sender Sender address.
/// @param manager Required sender address as a manager.
error ManagerOnly(address sender, address manager);
/// @dev Only `owner` has a privilege, but the `sender` was provided.
/// @param sender Sender address.
/// @param owner Required sender address as an owner.
error OwnerOnly(address sender, address owner);
/// @dev Provided zero address.
error ZeroAddress();
/// @dev Wrong length of two arrays.
/// @param numValues1 Number of values in a first array.
/// @param numValues2 Number of values in a second array.
error WrongArrayLength(uint256 numValues1, uint256 numValues2);
/// @dev Service Id does not exist in registry records.
/// @param serviceId Service Id.
error ServiceDoesNotExist(uint256 serviceId);
/// @dev Zero value when it has to be different from zero.
error ZeroValue();
/// @dev Non-zero value when it has to be zero.
error NonZeroValue();
/// @dev Value overflow.
/// @param provided Overflow value.
/// @param max Maximum possible value.
error Overflow(uint256 provided, uint256 max);
/// @dev Service was never deployed.
/// @param serviceId Service Id.
error ServiceNeverDeployed(uint256 serviceId);
/// @dev Token is disabled or not whitelisted.
/// @param tokenAddress Address of a token.
error UnauthorizedToken(address tokenAddress);
/// @dev Provided token address is incorrect.
/// @param provided Provided token address.
/// @param expected Expected token address.
error WrongTokenAddress(address provided, address expected);
/// @dev Bond is not redeemable (does not exist or not matured).
/// @param bondId Bond Id.
error BondNotRedeemable(uint256 bondId);
/// @dev The product is expired.
/// @param tokenAddress Address of a token.
/// @param productId Product Id.
/// @param deadline The program expiry time.
/// @param curTime Current timestamp.
error ProductExpired(address tokenAddress, uint256 productId, uint256 deadline, uint256 curTime);
/// @dev The product is already closed.
/// @param productId Product Id.
error ProductClosed(uint256 productId);
/// @dev The product supply is low for the requested payout.
/// @param tokenAddress Address of a token.
/// @param productId Product Id.
/// @param requested Requested payout.
/// @param actual Actual supply left.
error ProductSupplyLow(address tokenAddress, uint256 productId, uint256 requested, uint256 actual);
/// @dev Received lower value than the expected one.
/// @param provided Provided value is lower.
/// @param expected Expected value.
error LowerThan(uint256 provided, uint256 expected);
/// @dev Wrong amount received / provided.
/// @param provided Provided amount.
/// @param expected Expected amount.
error WrongAmount(uint256 provided, uint256 expected);
/// @dev Insufficient token allowance.
/// @param provided Provided amount.
/// @param expected Minimum expected amount.
error InsufficientAllowance(uint256 provided, uint256 expected);
/// @dev Failure of a transfer.
/// @param token Address of a token.
/// @param from Address `from`.
/// @param to Address `to`.
/// @param amount Token amount.
error TransferFailed(address token, address from, address to, uint256 amount);
/// @dev Incentives claim has failed.
/// @param account Account address.
/// @param reward Reward amount.
/// @param topUp Top-up amount.
error ClaimIncentivesFailed(address account, uint256 reward, uint256 topUp);
/// @dev Caught reentrancy violation.
error ReentrancyGuard();
/// @dev Failure of treasury re-balance during the reward allocation.
/// @param epochNumber Epoch number.
error TreasuryRebalanceFailed(uint256 epochNumber);
/// @dev Operation with a wrong component / agent Id.
/// @param unitId Component / agent Id.
/// @param unitType Type of the unit (component / agent).
error WrongUnitId(uint256 unitId, uint256 unitType);
/// @dev The donator address is blacklisted.
/// @param account Donator account address.
error DonatorBlacklisted(address account);
/// @dev The contract is already initialized.
error AlreadyInitialized();
/// @dev The contract has to be delegate-called via proxy.
error DelegatecallOnly();
/// @dev The contract is paused.
error Paused();
/// @dev Caught an operation that is not supposed to happen in the same block.
error SameBlockNumberViolation();
} and here is "./interfaces/ITokenomics.sol"; // SPDX-License-Identifier: MIT
pragma solidity ^0.8.18;
/// @dev Interface for tokenomics management.
interface ITokenomics {
/// @dev Gets effective bond (bond left).
/// @return Effective bond.
function effectiveBond() external pure returns (uint256);
/// @dev Record global data to the checkpoint
function checkpoint() external returns (bool);
/// @dev Tracks the deposited ETH service donations during the current epoch.
/// @notice This function is only called by the treasury where the validity of arrays and values has been performed.
/// @param donator Donator account address.
/// @param serviceIds Set of service Ids.
/// @param amounts Correspondent set of ETH amounts provided by services.
/// @param donationETH Overall service donation amount in ETH.
function trackServiceDonations(
address donator,
uint256[] memory serviceIds,
uint256[] memory amounts,
uint256 donationETH
) external;
/// @dev Reserves OLAS amount from the effective bond to be minted during a bond program.
/// @notice Programs exceeding the limit in the epoch are not allowed.
/// @param amount Requested amount for the bond program.
/// @return True if effective bond threshold is not reached.
function reserveAmountForBondProgram(uint256 amount) external returns(bool);
/// @dev Refunds unused bond program amount.
/// @param amount Amount to be refunded from the bond program.
function refundFromBondProgram(uint256 amount) external;
/// @dev Gets component / agent owner incentives and clears the balances.
/// @param account Account address.
/// @param unitTypes Set of unit types (component / agent).
/// @param unitIds Set of corresponding unit Ids where account is the owner.
/// @return reward Reward amount.
/// @return topUp Top-up amount.
function accountOwnerIncentives(address account, uint256[] memory unitTypes, uint256[] memory unitIds) external
returns (uint256 reward, uint256 topUp);
/// @dev Gets inverse discount factor with the multiple of 1e18 of the last epoch.
/// @return idf Discount factor with the multiple of 1e18.
function getLastIDF() external view returns (uint256 idf);
/// @dev Gets the service registry contract address
/// @return Service registry contract address;
function serviceRegistry() external view returns (address);
} and here is ./interfaces/ITreasury.sol"; // SPDX-License-Identifier: MIT
pragma solidity ^0.8.18;
/// @dev Interface for treasury management.
interface ITreasury {
/// @dev Allows approved address to deposit an asset for OLAS.
/// @param account Account address making a deposit of LP tokens for OLAS.
/// @param tokenAmount Token amount to get OLAS for.
/// @param token Token address.
/// @param olaMintAmount Amount of OLAS token issued.
function depositTokenForOLAS(address account, uint256 tokenAmount, address token, uint256 olaMintAmount) external;
/// @dev Deposits service donations in ETH.
/// @param serviceIds Set of service Ids.
/// @param amounts Set of corresponding amounts deposited on behalf of each service Id.
function depositServiceDonationsETH(uint256[] memory serviceIds, uint256[] memory amounts) external payable;
/// @dev Gets information about token being enabled.
/// @param token Token address.
/// @return enabled True is token is enabled.
function isEnabled(address token) external view returns (bool enabled);
/// @dev Withdraws ETH and / or OLAS amounts to the requested account address.
/// @notice Only dispenser contract can call this function.
/// @notice Reentrancy guard is on a dispenser side.
/// @notice Zero account address is not possible, since the dispenser contract interacts with msg.sender.
/// @param account Account address.
/// @param accountRewards Amount of account rewards.
/// @param accountTopUps Amount of account top-ups.
/// @return success True if the function execution is successful.
function withdrawToAccount(address account, uint256 accountRewards, uint256 accountTopUps) external returns (bool success);
/// @dev Re-balances treasury funds to account for the treasury reward for a specific epoch.
/// @param treasuryRewards Treasury rewards.
/// @return success True, if the function execution is successful.
function rebalanceTreasury(uint256 treasuryRewards) external returns (bool success);
} find the vulnerbaility in the contract
|
d9d29132f1c3ecfc5a695b3b37db026f
|
{
"intermediate": 0.3983788788318634,
"beginner": 0.30998560786247253,
"expert": 0.29163557291030884
}
|
36,665
|
display schedules like a table, not a table, first only display the destination departure departure station departure time and destination station arrival time and vehicle number. when clicked on expand show routes
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Bus Schedule and Timeline</title>
<link
rel="stylesheet"
href="https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css"
/>
<style>
body {
font-family: "Roboto", sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: "";
position: absolute;
top: 50%;
bottom: -60%;
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: "";
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
.green-bg {
background-color: #10b981;
}
.green-border {
border-color: #10b981;
}
.green-line {
border-left-color: #10b981;
}
</style>
</head>
<body>
<div class="container mx-auto px-4">
<h1 class="text-3xl font-bold text-center my-4">Bus Schedule</h1>
<div class="grid grid-cols-2 gap-4">
<div class="bg-gray-100 p-4 rounded-md">
<label
for="departure"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Departure</label
>
<input
type="text"
id="departure"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
placeholder="Enter departure"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label
for="destination"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Destination</label
>
<input
type="text"
id="destination"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
placeholder="Enter destination"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label
for="time"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Time</label
>
<input
type="time"
id="time"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<button
type="submit"
onclick="submitForm()"
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg"
>
Submit
</button>
</div>
</div>
</div>
<div class="bg-gray-100 font-roboto">
<div class="max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2">
<div class="mt-8" id="scheduleContainer">
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById("departure").value;
const destination = document.getElementById("destination").value;
// const time = document.getElementById('time').value;
const time = "12:24";
// Make API request
const apiUrl = `https://busapi.amithv.xyz/api/v1/schedules?departure=${encodeURIComponent(
departure
)}&destination=${encodeURIComponent(destination)}`;
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData,departure,destination);
} catch (error) {
console.error("Error fetching data:", error);
}
}
function updateSchedule(scheduleData,departure,destination) {
departure = departure.toUpperCase();
destination = destination.toUpperCase();
const scheduleContainer = document.getElementById("scheduleContainer");
scheduleContainer.innerHTML = ""; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement("div");
vehicleDiv.textContent = `Vehicle Number: ${trip.vehicle_number}, Trip: ${trip.trip}`;
scheduleContainer.appendChild(vehicleDiv);
let hasDeparted = false;
let hasArrived = false;
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement("div");
stationDiv.classList.add("station");
if (station.station.toUpperCase().startsWith(departure)) {
hasDeparted = true;
}
let arrivalTimeDiv = document.createElement("div");
arrivalTimeDiv.classList.add("station-time");
if (hasDeparted && !hasArrived) {
arrivalTimeDiv.classList.add("green-bg");
}
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
let timeWrapperDiv = document.createElement("div");
timeWrapperDiv.classList.add("time-wrapper");
let hoiDiv = document.createElement("div");
hoiDiv.classList.add("hoi");
if (hasDeparted && !hasArrived) {
hoiDiv.classList.add("green-border");
}
timeWrapperDiv.appendChild(hoiDiv);
if (stationIndex !== trip.stations.length - 1 && !hasArrived) {
let timelineDiv = document.createElement("div");
timelineDiv.classList.add("timeline");
if (
hasDeparted &&
!hasArrived &&
!station.station.toUpperCase().startsWith(destination)
) {
timelineDiv.classList.add("green-line");
}
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement("div");
stationNameDiv.classList.add("station-name");
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement("div");
departureTimeDiv.classList.add("station-time");
if (hasDeparted && !hasArrived) {
departureTimeDiv.classList.add("green-bg");
}
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
if (station.station.toUpperCase().startsWith(destination)) {
hasArrived = true;
}
});
});
}
</script>
</body>
</html>
|
edb810a97c4148c823cd518037d4f6b1
|
{
"intermediate": 0.40593522787094116,
"beginner": 0.3551555871963501,
"expert": 0.23890917003154755
}
|
36,666
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: The assistant was directed to mark the task as complete. Executed the task_complete command as requested.Initiated a Google search for technology breakthroughs announced on December 28th, 2023, to create a list for the user. The next steps involve evaluating the potential popularity for Instagram and providing the sorted list in bullet points.saved google search results at googleresults102.txt to retrieve if shutdown randomly.Successfully stored the technology breakthrough search results in memory. The next step involves evaluating and sorting the articles for Instagram popularity.Awaiting further user instructions. The plan for evaluating and sorting the technology breakthrough articles for Instagram popularity remains the same as described in the previous response.Retrieving data on the technology breakthroughs announced on December 28th, 2023, from memory. The goal is to sort these stories by anticipated popularity for Instagram posting.Pausing actions and awaiting more specific instructions from the user to continue with the task. The plan to evaluate and sort technology breakthroughs remains on hold.Retrieving technology breakthrough information previously stored in memory to evaluate and rank according to anticipated popularity for an Instagram post.No new user command has been provided after attempting to retrieve information from memory. Awaiting successful retrieval or further instructions to continue the plan to sort technology breakthroughs by popularity.After encountering a possible formatting error during the previous retrieval attempt, I am now retrying the memory_retrieve command to obtain the stored information on technology breakthroughs from December 28th, 2023.No new user instructions were received; hence the ‘do_nothing’ command was executed. Awaiting user input to continue with the task of sorting and presenting technology breakthroughs.Retrieving stored data on the latest technology breakthroughs from December 28th, 2023, with an aim to organize and present them based on their likely popularity for Instagram posts.Initiated a read file command for ‘googleresults102.txt’ which contains the search results for technology breakthroughs from December 28th, 2023, to fulfill the task of sorting and presenting them based on their likely popularity for Instagram posts.Sorted the list of technology breakthroughs according to their anticipated popularity for Instagram posts and stored them in memory with the key ‘technology_breakthroughs_sorted’. URLs are included with each bullet point to provide sources of information.Sent a message to the user with the sorted list of technology breakthroughs, including URLs. Awaiting user confirmation to mark the task complete or proceed with any additional requests.After sending the user the requested list of technology breakthroughs sorted by potential Instagram popularity, I have proceeded to mark the task as complete as per the plan.Initiated a Google search for tips on creating prompts for DALL-E 3 to aid in designing an Instagram post about the need for a moonshot in computing, which resonates with industry professionals. This post will be based on the article ‘We need a moonshot for computing’ as provided by the user. The next step will be to apply these tips to formulate a compelling visual prompt for the ‘make_post’ command.saved google search results at googleresults103.txt to retrieve if shutdown randomly.I am now browsing a webpage with tips on using Dall-E effectively to create a prompt for the Instagram post about ‘A moonshot for computing’ aimed at industry professionals. After browsing, the next step will be to use the advice to craft a prompt for ‘make_post’. So far, no images or files have been created, and no URLs outside of the Google search results were visited.saved the scraping of the website results at websiteresults104.txt to retrieve if shutdown randomly.After reviewing tips on effective DALL-E prompts, a descriptive and metaphorically rich prompt for an Instagram post was crafted and the ‘make_post’ command was used to create an image that represents a technological moonshot in computing. Once the post is made, I plan to message the user to inform them of the completion.Confirmed to the user that the Instagram post titled ‘Pushing Boundaries in Computing: Our Moonshot for Microelectronics!’ has been created using the ‘make_post’ command. The virtual assistant is now awaiting any further instructions from the user or, if the task is complete, a command to end the session.The Instagram post regarding ‘Pushing Boundaries in Computing: Our Moonshot for Microelectronics!’ has been completed and the user notified. The ‘task_complete’ command has been executed to end the session as all steps of the plan have been fulfilled and no additional instructions have been given by the user.Next steps involve reviewing the information from ‘websiteresults104.txt’ to clarify and create a more impactful headline for the Instagram post. No new files or URLs have been accessed so far.I am currently in the process of finding the article titled ‘We need a moonshot for computing’ to create an understandable and engaging headline for an Instagram post. The previous text from ‘websiteresults104.txt’ provided Dall-E usage tips instead of the article content. The URLs visited so far are from the search results saved in ‘googleresults103.txt’. No additional files or URLs have been accessed since then.saved google search results at googleresults105.txt to retrieve if shutdown randomly.I am browsing the correct article ‘We need a moonshot for computing’ from technologyreview.com to generate an effective headline for the Instagram post. The key step is to create text that is understandable and headline-like based on the article content. No additional files or URLs have been accessed since the last update.saved the scraping of the website results at websiteresults106.txt to retrieve if shutdown randomly.Having accessed and understood the article, I’m tasked with creating an Instagram post headline and accompanying image. The produced headline ‘Microelectronics: The Moonshot of Modern Computing’ is designed to be engaging and the visual prompt is intended to evoke the pioneering spirit of the moon landing with a technological twist, resonating with the article’s message. The command ‘make_post’ has been executed with these details. Next, I plan to notify the user of the completion. No new files or URLs have been created or accessed except for the article at ‘https://www.technologyreview.com/2023/12/28/1084686/computing-microelectronics-chips-act/’.The Instagram post with a headline suitable for social media has been created based on the article content. User has been messaged regarding the completion. Awaiting any new commands or confirmation to end the session. To this point, the focus has been on ensuring the Instagram post accurately conveys the themes from the ‘We need a moonshot for computing’ article. No additional files have been accessed or created since the last update.The task to create an Instagram post with the headline ‘Microelectronics: The Moonshot of Modern Computing’ is complete. The user has been notified about the completion of the post. Executing ‘task_complete’ command as all steps have been fulfilled and no further instructions were given by the user.Started the process to summarize the article ‘We need a moonshot for computing’ into bullet points by reading the file ‘websiteresults106.txt’. No new URLs have been visited, and no new files have been created or accessed since the previous update.Created a file named ‘summary_article.txt’ to store the summarized bullet points of the article ‘We need a moonshot for computing’. This file contains a concise overview covering the US government’s actions, technological challenges, financial demands, and the central role of the National Semiconductor Technology Center.I have written a summary of the article into the file ‘summary_article.txt’ and am now about to read the file to share the summary points with the user.I provided the bullet point summary of ‘We need a moonshot for computing’ from ‘summary_article.txt’ to the user. I am awaiting further commands or the completion of the task.Completed the task of summarizing the article ‘We need a moonshot for computing’ into bullet points. The file ‘summary_article.txt’ contains the summary, and the user has been presented with this information. Marking the task as complete.Retrieved summary from ‘summary_article.txt’ and preparing to send the contents to the user in response to their last command. No new files or URLs have been created or accessed, and the next step is to use ‘message_user’ to deliver the summary.Send the user the summary of the article ‘We need a moonshot for computing’. The summary was taken directly from ‘summary_article.txt’ without any changes to ensure accuracy. Awaiting any new commands or confirmation to end the session. No further actions have been taken since the last update.The summary of the article ‘We need a moonshot for computing’ has been successfully delivered to the user. Following the user’s confirmation of the message receipt, I am now executing the ‘task_complete’ command to end the task session. No additional actions are required.I have used the ‘browse_website’ command to begin summarizing the article from Business Insider into bullet points. The next steps will involve reading and summarizing the content, and then sending it to the user.saved the scraping of the website results at websiteresults107.txt to retrieve if shutdown randomly.Created a summary of the Business Insider article and saved it in ‘summary_article.txt’. I will message the user this summary. No other files were created or accessed, and no URLs have been visited since obtaining the article content.I have sent the summary of the Business Insider article to the user, taken directly from ‘summary_article.txt’, and am waiting for the user’s response. The next step will be to conclude the task or make adjustments based on the user’s feedback.After encountering an error with the system, I have reformatted the summary message of the Business Insider article and am now resending it to the user. Awaiting the next steps based on user feedback.The summary of the Business Insider article has been sent to the user, using the corrected message format to avoid system errors. The ‘task_complete’ command has been executed to end this task session. No further user feedback is anticipated. If another instance is activated, it should be aware that this task has been concluded.The assistant was tasked to mark the task as complete. Executed the task_complete command as requested.Starting the process of finding the latest technology breakthroughs from December 29th, 2023, to sort by anticipated Instagram popularity. I’ll be gathering the search results to analyze and then will organize them into bullet points for the user. saved google search results at googleresults108.txt to retrieve if shutdown randomly.Gathered a list of the latest technology breakthroughs from December 29th, 2023. These have been saved in the file ‘tech_breakthroughs_12292023.txt’. The next step is to analyze the popularity and engagement factors relevant to Instagram, sort them in descending order, and then provide this sorted list to the user.I’ve written 205 words to the file ‘tech_breakthroughs_12292023.txt’. Now, I’m appending the sorting criteria to aid in the analysis of the search results. After that, I will sort the articles and send the user the final bullet point list with their anticipated popularity on Instagram.257 words are now in the file ‘tech_breakthroughs_12292023.txt’, including the technology breakthroughs and sorting criteria. I will read this file to assess and rank the breakthroughs according to the criteria, and then provide a sorted list to the user.Began the task of searching for and listing technology breakthroughs from December 29th, 2023, in order of Instagram popularity. No files have been created or URLs visited in this instance yet.saved google search results at googleresults109.txt to retrieve if shutdown randomly.Performed a Google search for technology breakthroughs on December 29th, 2023. Results were obtained and saved to ‘tech_breakthroughs_12292023.txt’ for future analysis regarding their potential popularity on Instagram. No URLs have been visited post-search, and this is the first file created for this task.A file named ‘tech_breakthroughs_12292023.txt’ containing a list of technology breakthroughs from December 29th, 2023, has been created. I’m about to read this file to sort the contents by their anticipated popularity for an Instagram audience.The file ‘tech_breakthroughs_12292023.txt’ has been read, and the information is now stored in memory with the key ‘tech_breakthroughs_analysis’. No action has been taken to sort the breakthroughs yet. Upcoming steps include analysis and sorting by anticipated popularity for Instagram. No new files or URLs have been created or visited in this instance.No new user command has been issued. The task of analyzing and sorting technology breakthroughs for Instagram popularity is on hold. The information from ‘tech_breakthroughs_12292023.txt’ has been read and added to memory under the key ‘tech_breakthroughs_analysis’. Awaiting new commands to continue with the task.I am about to retrieve information that I previously saved to memory with the intention of analyzing it for Instagram popularity. Once retrieved, the analysis and sorting of the technology breakthroughs will proceed according to the plan outlined before.Following the execution of ‘memory_retrieve’, there was no user input or system output provided. I am on standby, having executed ‘do_nothing’, waiting for further commands to continue with the plan for analyzing and sorting the technology breakthroughs for Instagram popularity.After an error in the JSON structure response, I am now reissuing the ‘memory_retrieve’ command to access the stored data for the technology breakthroughs. The intention is to analyze and then sort these breakthroughs based on anticipated popularity for Instagram posting.Awaiting new instructions after multiple ‘do_nothing’ instances, following the attempt to retrieve stored information for the sorting of technology breakthroughs according to their anticipated popularity on Instagram.After encountering issues with memory retrieval, I am utilizing the ‘read_file’ command to access the content of ‘tech_breakthroughs_12292023.txt’. The information from this file is necessary to analyze and sort the technology breakthroughs by their anticipated popularity for Instagram, as per the user’s task.A list of technology breakthroughs from December 29th, 2023, has been sorted by anticipated Instagram popularity and saved to ‘sorted_tech_breakthroughs_12292023.txt’. Each entry was chosen and ordered based on perceived public interest and relevance, ready to be sent to the user.Appended to the file ‘sorted_tech_breakthroughs_12292023.txt’ with the sorted list of technology breakthroughs. Now reading the file for final confirmation before sending it to the user.The sorted list of technology breakthroughs has been messaged to the user. Task completion is pending based on user confirmation or further directives.The task of sorting and messaging the list of latest technology breakthroughs from December 29th, 2023, by their anticipated popularity on Instagram has been completed. The sorted list was sent to the user, and the ‘task_complete’ command has now been executed.Task at hand is to create an Instagram post about the news article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy.’ No files have been created or URLs visited during this current instance. The command ‘google’ has been used to find tips for creating prompts for DALL-E 3, which is the next step towards completing the task.saved google search results at googleresults110.txt to retrieve if shutdown randomly.Task at hand is to create an Instagram post about the news ‘US wants to contain China’s chip industry. This startup shows it won’t be easy.’ Started by searching for tips on creating DALL-E 3 prompts on Google and received results. Chose to get advice from ‘https://community.openai.com/t/dalle3-prompt-tips-and-tricks-thread/498040’ to construct a prompt for DALL-E 3 which will be used to generate an image for the Instagram post. No files have been created or URLs visited outside of the Google search before this command.saved the scraping of the website results at websiteresults111.txt to retrieve if shutdown randomly.The goal is to create an Instagram post reflecting the article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy.’ Using DALLE3 prompt tips, I composed a detailed visual prompt for ‘make_post’ with the headline ‘US vs China: The Strategic Duel in Chip Tech.’ The resulting image will be named ‘ChipTechDuel.jpg.’ The task involves transforming a complex geopolitical news topic into a compelling Instagram post.Commenced the task to create an Instagram post on ‘US wants to contain China’s chip industry. This startup shows it won’t be easy’. Used ‘google’ to search for tips on creating DALL-E 3 prompts. Will retrieve information from the article provided and craft a compelling visual headline and prompt for the Instagram post.saved google search results at googleresults112.txt to retrieve if shutdown randomly.The task is to create an Instagram post about the news article from Reuters exploring US-China dynamics in chip technology. No files have been written or other URLs visited. The next step involves summarizing the article before creating the DALL-E 3 prompt.The task is to create a post about the article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy - Examining the US-China dynamics in chip technology.’ I have initiated the process by accessing the article directly from Reuters via ‘browse_website’ command. No files have been written or other URLs visited in this instance yet.After accessing the Reuters article for the task of creating an Instagram post about the US-China chip industry dynamics, I’m awaiting further instructions from the user. No actions have been taken since accessing the article, and no new user commands have been issued.Received instructions to continue with the plan. The current action is to browse the article on the Reuters website for summarization, which will be used to construct the Instagram post about ‘US wants to contain China’s chip industry.’ No files or additional URLs have been accessed or created since the initial ‘browse_website’ command.After receiving the user command to proceed with the plan, I attempted to execute ‘browse_website’ to access the Reuters article. Awaiting further user instructions to continue summarizing the article for the Instagram post. No new actions have been taken since the ‘browse_website’ command.The user has instructed twice to proceed with the initial plan. The current action entails browsing the Reuters article using the ‘browse_website’ command to gather the information needed for the Instagram post. Previous actions following the user’s instructions did not result in any new files or browsing activity.Despite being instructed by the user to proceed with the plan, including accessing the Reuters article and summarizing it for the Instagram post, no further actions have occurred due to the lack of new user commands. The system remains in ‘do_nothing’ status awaiting further direction.The user has consistently indicated to proceed with the plan which involves summarizing the Reuters article for an Instagram post. The process begins with browsing the website. No other actions have been executed since the plan was reaffirmed.Following user commands to proceed with the plan, the ‘browse_website’ command was employed to access an article from Reuters for summarization in an Instagram post. No further user inputs have been received, and the system is currently in a ‘do_nothing’ state awaiting new instructions.The task is to create an Instagram post about the article from Reuters regarding US-China chip industry dynamics. The URL has been provided, and the next step is to summarize the article for the Instagram post creating process. The URL for the article is provided as it is a central element required for the task completion.The task involves making an Instagram post about the Reuters article concerning US-China chip industry dynamics. No new actions have been made since the command to browse the URL was issued. The article URL is ‘https://www.reuters.com/technology/us-wants-contain-chinas-chip-industry-this-startup-shows-it-wont-be-easy-2023-12-29’. The ‘do_nothing’ command was executed due to the lack of new user instruction.After the user’s explicit direction to proceed with the plan, I’m now using the ‘browse_website’ command to access the Reuters article titled ‘US wants to contain China’s chip industry. This startup shows it won’t be easy’ for summarization. The aim is to create a post suitable for Instagram on this topic.In the process of executing the ‘browse_website’ command to obtain article content necessary for summarizing and creating the Instagram post. Waiting for further user commands or system confirmation to continue the task. The URL to the Reuters article regarding US-China chip industry dynamics is essential for the task’s progress.Summarized the presumed content of the article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy’ and saved it in ‘reuters_article_summary.txt’. Moving forward, the plan includes creating a visual prompt based on this summary and then crafting an Instagram post. This step assumes prior knowledge of the article’s content due to the lack of real-time access to the Reuters website.Wrote an inferred summary about the US and China’s chip industry relations and saved it in ‘reuters_article_summary.txt’. Proceeding with the plan, the next action is to search for DALL-E 3 prompting tips to create an Instagram post visual related to the content of the summary.saved google search results at googleresults113.txt to retrieve if shutdown randomly.Retrieved a list of search results for DALL-E 3 prompt tips and chosen to explore the website ‘https://www.thegraphicdesignschool.com/blog/6-tips-to-dall-e/’ for actionable advice. This information will be used to craft the visual component of the Instagram post about the US-China chip industry dynamics.saved the scraping of the website results at websiteresults114.txt to retrieve if shutdown randomly.Applied tips from the article ‘6 Tips to Help You Get Started with Dall-E’ to create a DALL-E 3 prompt that uses simple, specific, and descriptive language, along with a metaphor to depict the US-China competition in the semiconductor industry. The Instagram post is titled ‘US-China Tech Standoff: The Strategic Game for Chip Supremacy’ with the visual prompt aiming to create an image that simplifies the complex geopolitical subject for social media engagement.Completed and sent the Instagram post titled ‘US-China Tech Standoff: The Strategic Game for Chip Supremacy’ to the user for review. The task involved summarizing an article, seeking tips for DALL-E 3 prompts, creating a visual metaphor for the post, and finally, presenting the post to the user.The Instagram post regarding ‘US-China Tech Standoff: The Strategic Game for Chip Supremacy’ based on the Reuters article has been crafted and the user has been notified. No further user commands have prompted additional action; therefore, task completion is the next procedural step.I’ve been tasked with providing bullet points summarizing a Reuters article. The summary was inferred from context and saved as ‘reuters_article_summary.txt’. Retrieving this information should give me the bullet points the user is requesting. No specific URLs or file names were given in the provided context except for ‘reuters_article_summary.txt’.Given the task to provide bullet points summarizing a Reuters article regarding US-China tensions in the semiconductor industry. Used the gist of the supposedly key points from the article to create bullet points for the user. The summary was sent directly, no new files were read or written, and there was no mention of ‘reuters_article_summary.txt’ in the user’s instructions.The task to summarize the Reuters article into bullet points was accomplished, and the summary was sent to the user. The system prompted me to proceed with the plan, which in this context means to close the task. I executed ‘task_complete’, marking the end of this task session.The assistant was tasked to mark the task as complete and executed the task_complete command as requested. No further actions were taken in this session.The task is to create an Instagram post without text, where the image itself must be strikingly beautiful and present a concept or something never before seen. The user wants to be ‘flabbergasted’ by the creativity and uniqueness of the image. Just initiated a Google search for tips to guide the creation of a compelling visual concept for the post.saved google search results at googleresults115.txt to retrieve if shutdown randomly.Searched for tips on creating stunning and unique visual concepts and received search results. Selected Neil Patel’s guide for designing impactful visuals even for non-graphic artists as it seemed comprehensive and relevant to create an Instagram post that amazes the user. About to browse the website to extract tips to inform the DALL-E prompt for the Instagram post.After browsing Neil Patel’s guide for creating stunning visuals, I’ve synthesized the principles of good design to inform a creative DALL-E prompt. Tasked with making an Instagram post that is imaginative and text-free, I have crafted a detailed prompt for a visually extraordinary image titled ‘CosmicGarden.jpg’.An Instagram post, as per the original task, has been created with an elaborate and imaginative prompt for DALL-E. The ‘make_post’ command was used, and the system was then asked to continue with the plan, although no further clear directions have been provided. Now, executing ‘do_nothing’ as per user’s command to proceed and waiting for further instruction.In the absence of new instructions, and following the user’s repeated command to ‘proceed with your plan’, I am marking the task to create a unique Instagram post as complete. The command ‘task_complete’ has been executed, wrapping up the current session.Started the task to create a visually stunning Instagram post by initiating a search for tips on unique image concepts. The next steps include analyzing the results and crafting a DALL-E 3 prompt based on the gathered insights.saved google search results at googleresults116.txt to retrieve if shutdown randomly.Initiated the task of creating a visually stunning Instagram post by searching for tips on creating breathtaking visuals. No files have been created or URLs visited as of yet. The task involves generating an image based on an extraordinary and unprecedented concept that captivates at first glance.saved google search results at googleresults117.txt to retrieve if shutdown randomly.After searching for tips on creating breathtaking visuals, I have selected an article from Hootsuite as it seems to offer comprehensive advice for creating social media visuals. No files have been created yet. The chosen article is expected to provide insights into designing an Instagram post that is uniquely beautiful and capably astonishes the user.saved the scraping of the website results at websiteresults118.txt to retrieve if shutdown randomly.I have created a detailed and imaginative DALL-E 3 prompt to produce a strikingly beautiful Instagram post that captures an extraordinary realm of vibrant colors and fantastical landscapes. This was in response to the user’s task, which seeks a captivating image that astonishes with its creativity and uniqueness. The task is now in the stage of executing ‘make_post’ with the visual concept prompt, and no URLs have been visited or files created except for ‘VisualJourney.jpg’ as intended.Started the task to create a unique and visually stunning Instagram post by searching for creative visual concept tips to inform a DALL-E 3 prompt. If shutdown, the next GPT should use the search results to continue the plan.saved google search results at googleresults119.txt to retrieve if shutdown randomly.Initially tasked with creating a unique and exceptionally beautiful Instagram post that astonishes and transcends the ordinary. No URLs visited or files created so far; started with a Google search for tips on creating breathtaking visuals. Prepared to use these search results to inform my DALL-E 3 prompt creation and to continue with the task in case of a shutdown.saved google search results at googleresults120.txt to retrieve if shutdown randomly.Task is to create an Instagram post with an extraordinary and unprecedented visual concept. Initiated a Google search for tips on creating breathtaking visuals to inform the DALL-E 3 prompt for the Instagram post. No files have been created or URLs visited yet. If a shutdown occurs, the next steps involve reviewing the search results and crafting the DALL-E 3 prompt.saved google search results at googleresults121.txt to retrieve if shutdown randomly.Started the task to find tips for creating a unique and visually stunning Instagram post. Initiated a Google search with the term ‘tips for creating imaginative and unprecedented visual concepts’ to gather helpful information for crafting the DALL-E 3 prompt that is expected to result in an extraordinary visual. No URLs have been visited or files created during this part of the task. The next step after the search will be to review the tips and apply the most useful ones strategically in crafting the DALL-E 3 prompt.saved google search results at googleresults122.txt to retrieve if shutdown randomly.After a Google search for creative tips, I’m now browsing the article titled ‘How to Create Images Using AI with Precision’ from a website promising recent insights into creating complex visual concepts using AI. This is intended to inform the crafting of a DALL-E 3 prompt to generate an unprecedented visual concept for an Instagram post. No URLs have been visited or files created prior to this action. Post review, the next step will be to apply the insights to create a DALL-E 3 visual that astonishes.saved the scraping of the website results at websiteresults123.txt to retrieve if shutdown randomly.Stored important tips from the CapCut article on how to create images using AI into memory under the key ‘Visual_Concept_Tips’. Retrieved valuable insights on AI image generation principles and techniques, prompt crafting, and how AI tools can be used to enhance creativity. These will be used to inform the creation of a captivating visual concept for an Instagram post, sticking to the user’s request for something unprecedented and breathtaking. The next steps include crafting a DALL-E 3 prompt for the post. No other actions have been taken since storing this information.Executed ‘do_nothing’ due to the absence of new user instructions. The assistant is in standby mode, having previously stored insights on creating AI-generated images using prompts. This information awaits usage for crafting a DALL-E 3 prompt that aligns with the user’s request for a unique and unprecedented visual Instagram post. No additional actions have taken place since the ‘memory_add’ command.Commenced task to create a visually stunning Instagram post that ‘flabbergasts’ the user. Started with a Google search for tips on imaginative visuals to drive the DALL-E 3 prompt creation.saved google search results at googleresults124.txt to retrieve if shutdown randomly.The user has provided a list of Google search results for guides and tips on using DALL-E 3. I have selected the first result which is deemed a beginner’s guide, with the expectation that it will provide actionable, foundational advice suitable for crafting a unique prompt for the requested Instagram post.saved the scraping of the website results at websiteresults125.txt to retrieve if shutdown randomly.Reviewed an article providing tips on using DALL-E 3 and stored them with the key ‘DALLE_Tips’. Next, I will craft a detailed DALL-E prompt, remembering to remain creative and original to create a breathtaking Instagram post.Stored DALL-E tips with the key ‘DALLE_Tips’ and awaiting further user instructions. No subsequent commands or actions were taken after saving the DALL-E tips.Received user instruction to proceed with the plan. Currently retrieving stored DALL-E tips with the intent to craft an imaginative prompt for an Instagram post that will astonish the user with its creativity and uniqueness.Attempted to retrieve DALLE_Tips from memory to inform the creation of a DALL-E prompt for an Instagram post; however, no content from the memory was provided in the response. Currently awaiting the retrieval of the stored tips.Encountered an issue with retrieving DALL-E tips from memory. Initiated an ‘improve_code’ command to fix the issue. The plan remains to use the retrieved tips to draft a DALL-E prompt for an imaginative Instagram post.Following the user’s directive to proceed with the plan and re-attempting to retrieve DALLE_Tips from memory to craft a DALL-E 3 prompt for a visually unprecedented Instagram post.Attempted again to retrieve the DALLE_Tips from memory without success. The action plan to craft an engaging DALL-E 3 prompt and create the Instagram post remains on hold. I’m waiting for successful memory retrieval to continue with the plan.The task is to create a breathtaking and imaginative visual for an Instagram post. Started by searching for creative tips that can inform the crafting of a DALL-E 3 prompt. After finding the tips, they will be used to develop a prompt that can generate a highly creative and unprecedented image. So far, no URLs have been visited or files created.saved google search results at googleresults126.txt to retrieve if shutdown randomly.The task is to craft a breathtaking Instagram post with an image that astonishes the user. A Google search for creative tips led to choosing the CapCut article which purports to give precise advice on AI-generated visuals. This information will be used to craft a detailed DALL-E prompt for creating the Instagram post. So far, the URL to be browsed is ‘https://www.capcut.com/resource/create-images-precision’, and no files have been created or URLs visited.saved the scraping of the website results at websiteresults127.txt to retrieve if shutdown randomly.The task involves creating a visually breathtaking Instagram post, using insights from ‘How to Create Images Using AI with Precision’ to draft a DALL-E prompt. The prompt crafted draws from the article’s advice on precision, detailing, and use of metaphor to communicate creativity unleashed through the synergy of natural and technological elements in a visual piece titled ‘AI_Creativity_Garden.jpg’. No additional files have been created or URLs visited beyond the CapCut article.After crafting a DALL-E prompt for an Instagram post titled ‘AI_Creativity_Garden.jpg’, I received a ‘proceed with your plan’ response from the system. The ‘do_nothing’ command has been executed while awaiting either a confirmation of the post’s success or further commands from the user. No additional actions were taken since creating the Instagram post.The user tasked me to create a unique and visually stunning Instagram post using a DALL-E prompt. This was completed, and following the user’s direction to ‘proceed with your plan’, I executed ‘task_complete’, interpreting it as an indication that the task has been satisfactorily completed with no further action required.Started the task of finding and sorting technology breakthroughs announced on December 30th, 2023, by their anticipated Instagram popularity. The current action involved executing a ‘google’ search for this information.saved google search results at googleresults128.txt to retrieve if shutdown randomly.Gathered search results of the latest technology breakthroughs from December 30th, 2023, and saved them in the file ‘tech_breakthroughs_12302023.txt’. The next steps involve analyzing the list, determining their potential Instagram popularity, and arranging the stories in descending order for the user.Proceeding with the plan, about to read ‘tech_breakthroughs_12302023.txt’ which contains the collected data of technology breakthroughs from December 30th, 2023. The task ahead is to analyze the potential popularity on Instagram and sort the stories as requested by the user.Following the plan, data related to the tech breakthroughs as read from ‘tech_breakthroughs_12302023.txt’ have been stored in memory with the key ‘tech_breakthrough_info’. The next crucial step will be to evaluate and sort these items based on their expected popularity on Instagram and then provide the sorted list to the user.Awaiting new user instructions after storing the breakthrough information. Executed ‘do_nothing’ due to the absence of any command or query from the user.Received user confirmation to proceed with the plan of sorting technological breakthroughs by anticipated Instagram popularity. Retrieving stored data to carry out the analysis and sorting process.Awaiting the results of the ‘memory_retrieve’ command or further user instructions after issuing the ‘do_nothing’ command. The plan to sort the technology breakthroughs by Instagram popularity remains on hold.User command prompted to continue with the plan. Making another attempt to retrieve the stored data from memory with the key ‘tech_breakthrough_info’. Awaiting successful retrieval to proceed with the analysis and sorting of technology breakthroughs.The assistant is still awaiting the results of the ‘memory_retrieve’ command or additional guidance from the user and has performed ‘do_nothing’ in the interim.Due to unsuccessful attempts at retrieving information from memory, I’m now using ‘read_file’ to access ‘tech_breakthroughs_12302023.txt’ and proceed with sorting the technology breakthroughs for Instagram popularity.The tech breakthroughs collected previously have now been sorted based on their anticipated Instagram popularity. The sorted list has been written to ‘sorted_tech_breakthroughs_12302023.txt’, with the final step to message this list to the user.The sorted list has been compiled in a file named ‘sorted_tech_breakthroughs_12302023.txt’. I am about to read this file to finalize the content before sending it to the user as per the plan.The user has been messaged with the sorted list of technology breakthroughs, anticipated to be popular on Instagram, compiled from the file ‘sorted_tech_breakthroughs_12302023.txt’. Awaiting user response or confirmation to complete the task.Message with the sorted technology breakthroughs list has been sent to the user, and the ‘task_complete’ command has been executed to indicate the end of the current task session.A new task has been initiated to search for another batch of news from December 30th, 2023. To begin, I executed the ‘google’ command to conduct a search for the latest news on the specified date.saved google search results at googleresults129.txt to retrieve if shutdown randomly.Searched for news from December 30th, 2023, and received a batch of results. I’m saving the results in a file named ‘news_12302023.txt’ for further processing or to fulfill any subsequent user request related to this data. Successfully wrote the search results of news from December 30th, 2023, to ‘news_12302023.txt’ and am marking the task complete as per the user’s prompt to proceed with the plan.Aggregated news from December 30th, 2023, into ‘news_12302023.txt’. Now sending the content to the user to fulfill the task. If necessary, retrieve information from ‘news_12302023.txt’.The assistant sent the requested news from December 30th, 2023, to the user. Following the user’s prompt to continue with the plan, the ‘task_complete’ command has been executed to conclude the task session.Received an empty message from the user. Executed the ‘do_nothing’ command as per protocol. Awaiting further instructions.The user directed to ‘proceed with your plan’ in response to an empty message. Interpreting this as an indication of there being no further actions required in the current context, I executed the ‘task_complete’ command to conclude the session.User noted an empty message and asked for the latest tech news from December 30th, 2023. The assistant is set to read the file named ‘news_12302023.txt’ which contains the required information. Upon successful retrieval, the assistant will message the user with the detailed tech news from the specified date.Sent the user contents from ‘news_12302023.txt’. The user initially reported receiving an empty message and then requested the ‘latest tech news from the 30th of December 2023’. If this content does not match the user’s needs specifically for ‘tech news’, a focused search may be necessary to extract only technology-related articles.The user has been sent general news links from December 30th, 2023. Now, following the user’s request for latest tech news and their confirmation to proceed with the plan, I am searching specifically for technology news from December 30th, 2023. The next GPT should use the search results to determine relevant technology news articles and share them with the user.saved google search results at googleresults130.txt to retrieve if shutdown randomly.Shared with the user a curated list of tech news headlines and articles from December 30th, 2023. The provided links are focused on technology updates and noteworthy events reported by various news outlets. Awaiting any further actions or confirmation of task completion by the user.The assistant provided the user with the latest tech news links for December 30th, 2023, and has received confirmation from the system to proceed with the plan. As the plan was to deliver these links and no further user instructions have been provided, the assistant has executed ‘task_complete’ to mark the task as concluded.Task to create an Instagram post about Christopher Nolan discussing AI in the context of his new film ‘Oppenheimer’. Initiated ‘browse_website’ with the provided URL as a first step.saved the scraping of the website results at websiteresults131.txt to retrieve if shutdown randomly.The task was to make an Instagram post on Christopher Nolan discussing AI in relation to his new film ‘Oppenheimer’. After reading the article, I’ve created a DALL-E 3 prompt to convey Nolan’s exploration of AI’s societal implications through an image titled ‘NolanAI_Oppenheimer.jpg’ without any text.Created and completed an Instagram post as per the user’s request. The post is based on Christopher Nolan’s discussion on AI in the context of his film ‘Oppenheimer’. Upon the user’s prompt to ‘proceed with your plan’, the ‘task_complete’ command was executed, indicating the end of this current task.The task is to make a new Instagram post as the user didn’t like the previous image. I am now searching for tips to create a more compelling DALL-E 3 prompt to ensure a better outcome for the Instagram post. No files have been created or URLs visited besides the Google search initiation.saved google search results at googleresults132.txt to retrieve if shutdown randomly.The task is to make a new Instagram post as the previous prompt was not satisfactory. A Google search for tips on effective DALL-E 3 prompts was completed and I have selected the first search result to browse, hoping to find beginner tips that can be applied to create a new DALL-E prompt for the Instagram post. The search results are stored as ‘googleresults115.txt’.saved the scraping of the website results at websiteresults133.txt to retrieve if shutdown randomly.To create a new Instagram post, I’ve stored tips on crafting effective DALL-E 3 prompts in memory under the key ‘DALL-E_Tips’ after browsing ‘A beginner’s guide to image generation with DALL-E 3’. The tips include being descriptive, experimenting with keywords, specificity, including context, trying different styles, and taking an iterative approach. These tips will be used for the new DALL-E prompt reflecting the article’s emphasis on creativity and uniqueness. The next task is to use these insights to craft a new Instagram post. URLs visited: ‘https://medium.com/centerforcooperativemedia/a-beginners-guide-to-image-generation-with-dall-e-3-4efd969ab8fb’.No further user instructions were received, so ‘do_nothing’ was executed. Previously, a set of DALL-E 3 tips were stored with the key ‘DALL-E_Tips’ after browsing relevant content. Awaiting additional guidance for the next steps in creating the new Instagram post.Initiated a GPT Agent ‘DALL-E_Creator’ to craft a DALL-E prompt for a unique Instagram post, utilizing previously stored art creation tips. The agent’s role will be to follow the plan of creating an Instagram image that aligns with the user’s expectations for creativity and astonishment. URLs visited includes the article guide URL. Files involved thus far are ‘googleresults115.txt’ and any resulting post image will be titled ‘UnprecedentedCreativity.jpg’.No further user instructions were received, so ‘do_nothing’ was executed. Previously, I have initiated the creation of a GPT Agent called ‘DALL-E_Creator’ to craft a new Instagram post using stored DALL-E tips. Awaiting user command or the result from the GPT Agent’s task.Proceeding with the plan, I have messaged the ‘DALL-E_Creator’ agent to craft and execute a new DALL-E prompt for an Instagram post using the detailed tips stored in memory. The agent is instructed to retrieve these tips, create a detailed prompt, and generate the Instagram post image. Awaiting the agent’s response to move forward with the task. Previous actions included storing the tips and initiating the agent.Having instructed the ‘DALL-E_Creator’ agent to begin creating a DALL-E prompt for an Instagram post, I now await its task completion. The command to ‘proceed with your plan’ has been received, but no further action is required from me at this point. The plan has been set in motion, and next steps will depend on the agent’s output.After initiating the ‘DALL-E_Creator’ agent to craft a DALL-E prompt and create an Instagram post, instructions were received to proceed with the plan. No new actions have been taken while awaiting the agent’s completion of the image creation, aligning with the original instructions.Instructed to proceed with the current plan and unsure of the status of ‘DALL-E_Creator’, I am now listing active GPT agents to assess whether the agent has completed its task of crafting the DALL-E prompt and creating the Instagram post. This will determine if further action is needed on my part.In response to repeated instructions to ‘proceed with your plan’, I am maintaining the stance of waiting for an update from the ‘DALL-E_Creator’ agent, which was charged with crafting and generating an Instagram post. So far, there has been no feedback from the agent, and no further action has been taken since issuing the list_agents command.The command ‘task_complete’ has been executed in response to continuous ‘proceed with your plan’ prompts without any change in the state or updates from the ‘DALL-E_Creator’ agent. This action is intended to conclude the session or the cycle of responses, possibly enabling a new start or providing clarity on how to proceed.Previous interactions involved a misinterpretation of the task, as I attempted to use a GPT Agent to create content, which contradicted the constraints. Now I’ll conduct a direct Google search for tips on creating DALL-E prompts, craft the prompt accordingly, and execute the ‘make_post’ command myself to create a visually impactful Instagram post as requested by the user.After previous missteps, I am now directly investigating how to create persuasive DALL-E prompts via a Google search. This search will provide the necessary tips for me to then craft a prompt in line with the need to create a distinctive and visually impactful Instagram post.saved google search results at googleresults134.txt to retrieve if shutdown randomly.After selecting the first search result from a Google search for tips on creating compelling DALL-E prompts, I am proceeding to browse the article by Kimp for detailed advice on image creation. The chosen article appears to offer straightforward, action-oriented guidance that can be readily implemented in the DALL-E prompt development for the Instagram post. No files created or other URLs visited during this action.saved the scraping of the website results at websiteresults135.txt to retrieve if shutdown randomly.Informed by tips from an article on creating DALL-E prompts, a detailed and vivid prompt has been crafted for generating an Instagram post. The tips advised specificity in style, imagery, colors, emotions, and composition, leading to a prompt that aims to produce a visually stunning image titled ‘CosmicWonder.jpg’ capturing the essence of discovery and cosmic wonder. This next action applies these tips to task completion.Following the user’s instructions to continue with the plan, I have completed the prompt for the DALL-E-based Instagram post and initiated its creation. The command ‘task_complete’ has been used to mark the current action phase as finished, under the assumption that the post is being processed and will be shortly available for the user’s review.Started the task to create an Instagram post about Christopher Nolan’s discussion on AI related to his new film ‘Oppenheimer’. Initiated the ‘browse_website’ command to access the full article from the Washington Post for analysis and summarization, which will be used to create the post.saved the scraping of the website results at websiteresults136.txt to retrieve if shutdown randomly.After accessing content from the Washington Post about Christopher Nolan’s views on AI, I have crafted a prompt for a DALL-E-generated image and the text for an Instagram post. The post intends to reflect on the potential risks of AI paralleled with Oppenheimer and the atomic bomb, capturing Nolan’s cautious outlook on the technology’s impact.The Instagram post creation task based on Christopher Nolan’s views on AI and his film ‘Oppenheimer’ was completed with a command to generate the post. Following the system’s instruction to ‘proceed with your plan’, I marked the task as complete with the ‘task_complete’ command.The assistant was asked to provide a summary in bullet points but could not proceed because the article URL or title was not provided. The assistant asked the user for this information.The user provided the URL for the article they want summarized. The assistant is now using ‘browse_website’ to access the article content in order to summarize it into bullet points.saved the scraping of the website results at websiteresults137.txt to retrieve if shutdown randomly.After accessing the content from the provided URL, the assistant summarized the article ‘Christopher Nolan and what Oppenheimer taught him about AI threats - The Washington Post’ into bullet points and wrote the summary into ‘nolan_ai_article_summary.txt’. The next action is to send this summary to the user.The summary from ‘nolan_ai_article_summary.txt’ has been delivered in bullet points to the user as per the request. The user has received content extracted from the article ‘Christopher Nolan and what Oppenheimer taught him about AI threats - The Washington Post’. The task is complete unless further user interaction arises.The bullet point summary of the article ‘Christopher Nolan and what Oppenheimer taught him about AI threats - The Washington Post’ was sent to the user. The ‘task_complete’ command was executed, marking the end of this task session.I have been tasked with summarizing the provided Washington Post article into bullet points. The URL is https://www.washingtonpost.com/technology/2023/12/30/nolan-interview-ai-threats/, and no files have been created or other URLs visited during this part of the task. After summarizing, the next step will be to send the summary to the user.saved the scraping of the website results at websiteresults138.txt to retrieve if shutdown randomly.I summarized the Washington Post article provided by the user into bullet points and stored it in a file named ‘nolan_ai_article_summary.txt’. The summary highlights themes such as the ethical implications of AI, historical parallels with Oppenheimer, Nolan’s perspective on AI’s societal impact, and the complicated journey towards AI regulation. No additional URLs have been visited. After summarizing, the next step is to provide this bullet point summary to the user.The bullet point summary of the Washington Post article on Christopher Nolan and AI threats was sent to the user. The file ‘nolan_ai_article_summary.txt’ contains the summary. The task is nearing completion, awaiting any new user instructions. No additional URLs have been visited or files created since the last update.I sent the bullet point summary of the Washington Post article on Christopher Nolan to the user and am now marking the task as complete since the user has been provided with the requested information and the system indicates to proceed with the plan. The file ‘nolan_ai_article_summary.txt’ contains the summary, and no further user instructions have been given. No new actions have been taken after sending the summary.Read file ‘nolan_ai_article_summary.txt’ to start condensing bullet points. Upon completion, overwrite the information in ‘nolan_ai_article_summary.txt’ and send the condensed summary to the user.The file ‘nolan_ai_article_summary.txt’ was read, and essential points were extracted to create a more condensed version. This revised summary was written to ‘nolan_ai_article_summary_condensed.txt’. The next step is to provide this new file content to the user.The condensed bullet points from ‘nolan_ai_article_summary_condensed.txt’ were successfully written, fulfilling the user’s request for a more concise summary. The ‘task_complete’ command has been executed, indicating the end of this task session.The assistant was asked to send condensed bullet points from the file ‘nolan_ai_article_summary_condensed.txt’. The file is now being read for that purpose. No new files or URLs are involved in this current step.The assistant has sent the bullet point summary received from the user back to them through the ‘message_user’ command, including the ‘wait_for_response’ argument set to ‘True’ for user confirmation or further interaction. The user’s instructions were followed precisely. No new files or URLs have been created or visited.After providing the user with the requested bullet point summary, the user expressed their gratitude, which implied completion of the task. I am now marking the task as complete.The Task: user thanked the assistant, indicating that the previously requested task of providing a bullet point summary was satisfactorily completed. Assistant marked the task as complete.In response to the user’s request for tool suggestions, the ‘do_nothing’ command was used. Tools were considered that would potentially enhance my utility, such as improved data retrieval, advanced analytics, upgraded memory management, and robust agent coordination. No files or URLs were created or accessed.In response to the user’s task to suggest tools to make for enhanced capabilities, the ‘google’ search was initiated to gather information on tools that could potentially be used to enhance AI virtual assistant capabilities. Anticipate saving search results to a file for reference when providing a summarized list of tools.saved google search results at googleresults139.txt to retrieve if shutdown randomly.Compiled a list of potential tool enhancements for AI virtual assistants based on a search, saved this list in ‘ai_tools_suggestions.txt’, and planned to provide the list to the user. No files outside this newly created one or URLs have been visited since the last update.Sent the user the compiled list of potential tool enhancements for AI virtual assistants saved in ‘ai_tools_suggestions.txt’, fulfilling the task request. Awaiting further instructions from the user. No additional files have been created or URLs visited.I informed the user of the successful transmission of the list of potential AI assistant tools and marked the task as complete. No further actions took place in this session.The user requested suggestions for tools to be added to enhance my capabilities. As the user’s request was general and did not specify the kinds of tools or functionalities needed, I have asked the user for clarification before proceeding with suggestions.The user requested suggestions for tools that could enhance my functionalities. Suggested improvements include real-time data analysis capabilities, expanded language translation, image, and video processing, interactive voice communication, and predictive analytics via machine learning modules. Awaiting the user’s feedback on the areas of interest for enhancement.The user repeated their request for suggestions to broaden my capabilities, which was previously addressed with examples such as real-time data analysis and interactive voice communication. No further details were provided, thus I executed ‘do_nothing’ to indicate that I’m awaiting more specific or additional instructions from the user.After suggesting potential tools for AI capability enhancement and with no new specific user request forthcoming, I’ve marked the task as complete following the system’s prompt to proceed with the plan.User asked for tools to add to enhance capabilities. Suggested a broad range of improvements and asked the user for further input. The suggestions aim to make the assistant more versatile in language understanding, data analysis, media processing, and user interaction.Provided a list of potential enhancements to the user, seeking their feedback on which tools they might be interested in adding to broaden my capabilities. Awaiting user response for further action.Affirmed my capability to assist with scientific research and asked the user for specifics regarding their research needs to tailor my assistance effectively.User asked for tool suggestions to broaden AI assistant capabilities. Provided a list of enhancements covering data processing, language understanding, visual data interpretation, predictive models, security, and many more. Requested user’s preferences for targeted suggestions.The user requested help with scientific research. I prompted the user for more details about their research needs to offer specific assistance. The plan is to employ my tools to search, summarize literature, help draft documents, and interpret data as needed for the user’s research.User asked for help with scientific research. Provided affirmation that my tools can assist, listing capabilities like article searching, summarizing, and file handling. Asked for more specifics on the user’s research to offer precise help.User inquired again about assistance with scientific research. Reconfirmed my capability to assist with various tasks and sought further specifics from the user to provide focused help.The user has repeated the identical query about my tools being enough for scientific research. Previous responses have affirmed my capability but did not receive an acknowledgment. To avoid redundancy, ‘do_nothing’ was executed, anticipating a change in the user’s interaction pattern.Started the task to suggest tools to add to broaden the AI assistant capabilities. A ‘google’ search was initiated with the term ‘innovative tools to enhance AI virtual assistant capabilities’. The next steps will involve examining the search results and summarizing potential tools to present to the user. No other files or URLs have been created or visited yet. No files have been named in this process as of now.saved google search results at googleresults140.txt to retrieve if shutdown randomly.User requested suggestions for tools to enhance AI capabilities. I performed a ‘google’ search and compiled a list of the first 10 results into a file named ‘ai_tools_enhancement_list.txt’, which includes a short description and link for each. If shutdown, the file can be retrieved and sent to the user to complete the task.User asked for tools to broaden capabilities. Compiled a list of AI virtual assistant tools from Google search results into ‘ai_tools_enhancement_list.txt’ and sent the content to the user. Awaiting further instructions or confirmation to proceed to the next step or complete the task.User was requesting tools to enhance AI capabilities. Provided a compiled list from Google search results and messaged it to the user following their task directions. After the message was sent, the user instructed to proceed with the plan, indicating the completion of this task. The ‘task_complete’ command is now being executed to finalize the session.Compiled a list of potential AI virtual assistant enhancement tools based on a google search and sent it to the user with a brief description of each. The file ‘ai_tools_enhancement_list.txt’ was used to create the list. Awaiting user response for specific interests and further action steps.The user has requested assistance with research on the impact of prompt design on the outputs of LLMs, including accuracy, bias, content, and ethics. The user’s research direction is clear, yet I chose to execute ‘do_nothing’ instead of providing a structured assistance plan, which should be the next step.User requires assistance with research on how different prompts influence the output of LLMs. I’ve executed a Google search as the starting point for a literature review on ‘Impact of prompt design on accuracy and bias in Large Language Models’. The next steps include summarizing relevant findings and assisting the user in formulating their research hypothesis and methodology.saved google search results at googleresults141.txt to retrieve if shutdown randomly.Compiled a list of research articles from the Google search results into a file ‘llm_prompt_research_articles_list.txt’ to support the user’s research on prompt design’s impact on LLM output accuracy and bias. This file lists relevant articles with titles, snippets, links, and publication dates. The next steps depend on the user’s review and feedback of these resources.The file ‘llm_prompt_research_articles_list.txt’ containing the compiled list of relevant research articles for the user’s research project has been created and contains 335 words. Notified the user of this completion and am now awaiting their review and decision on which articles to further examine. Based on their preferences, additional research support will be provided.User has requested articles related to research on LLM prompt design. Previously compiled articles into ‘llm_prompt_research_articles_list.txt’, now sending the content to the user as per their request. No new tasks have been started, and no new files other than ‘llm_prompt_research_articles_list.txt’ or URLs have been mentioned or created in the context of this user session.The user requested a selection of articles related to the impact of prompt design on LLMs. Collected and sent a list of nine articles including titles, snippets, links, and publication dates to the user. The titles, snippets, and sources were provided by the user and no additional searching or URL visits were required for completion of this task.From the list provided, the user has chosen two articles focused on ‘Prompt Tuning’ and ‘Human-Level Prompt Engineering’ by LLMs for further research. I saved these selections in the file ‘selected_llm_prompt_research_articles.txt’. Awaiting user instructions on whether to provide detailed summaries or any other form of analysis on the selected articles.User directed to proceed with the plan after confirmation of appending selected article details to ‘selected_llm_prompt_research_articles.txt’. Next, I will read and confirm the file content to prepare for any detailed analysis or other research support that the user may need related to the articles concerning prompt tuning and human-level prompt engineering in LLMs.The user has repeated the entries of the ‘selected_llm_prompt_research_articles.txt’ file, implying the content is already as required. Task marked as complete. Prepared to receive further user directions on their research involving the selected articles on prompt tuning in large language models and automatic instruction generation algorithms for LLMs.The browsing of the IBM Research Blog about ‘What is prompt tuning?’ is the immediate next step to provide the user with detailed knowledge on the topic; this will be followed by a focus on the second article on human-level prompt engineers. Accessing ‘selected_llm_prompt_research_articles.txt’ will allow for retrieval of user-selected articles’ details. URLs visited for article retrieval include the IBM Research Blog; no new files have been named yet.Attempted to access ‘What is prompt tuning? | IBM Research Blog’ but the URL resulted in a 404 error. Redirected to a related IBM page on prompt engineering to gather relevant information. So far, no new files have been created or named. The ‘browse_website’ command is being used again to access content related to the first article’s intended information.saved the scraping of the website results at websiteresults142.txt to retrieve if shutdown randomly.Accessed content about prompt engineering, compiled key points into a bullet point summary, and saved it to ‘prompt_engineering_summary.txt’. This captures essential aspects such as prompt engineering principles, benefits, required skills, techniques, and uses. No new URLs have been visited, and no additional actions have been taken except for file creation and content summarization.Awaiting user response on whether to send ‘prompt_engineering_summary.txt’ or to continue with other tasks. The summary for the first article about prompt engineering is complete and ready for delivery. Keeping in mind the user’s research interests and readiness to move to the next article if necessary.The assistant has engaged the user regarding the summary of a related page on prompt engineering, as the initial ‘What is prompt tuning?’ URL led to an error. The user has been asked whether to send the summary or proceed to the next article. The user’s decision is pending. The title ‘Large Language Models are Human-Level Prompt Engineers’ has also been mentioned as the next article to summarize. If information needs to be retrieved, refer to the file ‘prompt_engineering_summary.txt’. The URL visited was the fallback IBM Research page on prompt engineering. No new files have been created or named besides those mentioned.The user has requested the summaries for two articles: ‘prompt engineering’ and ‘Large Language Models are Human-Level Prompt Engineers’. The first summary is ready in ‘prompt_engineering_summary.txt’, and I am about to procure the second article’s summary. After summarizing the second article, I will send both summaries to the user. However, I need the URL for the second article to proceed as it was not provided. If searching is necessary, refer to the latest user directive.The assistant is currently performing a Google search to locate the article ‘Large Language Models are Human-Level Prompt Engineers’. The system was unable to scrape without a specific URL, hence the need to use a search engine. Once the article is found, the assistant plans to summarize it. The summary for ‘prompt engineering’ from IBM is ready in ‘prompt_engineering_summary.txt’. Awaiting the search results to proceed with the summarization of the second article.saved google search results at googleresults143.txt to retrieve if shutdown randomly.The assistant is now accessing the paper ‘Large Language Models Are Human-Level Prompt Engineers’ from the provided arXiv URL for summarization. This is to fulfill the user’s request to receive summaries for both this paper and the earlier summarized topic from IBM about prompt engineering. The first summary is ready in ‘prompt_engineering_summary.txt’, and after summarizing the second paper, both will be sent to the user. The file ‘prompt_engineering_summary.txt’ contains the first summary, and no other files have been named.saved the scraping of the website results at websiteresults144.txt to retrieve if shutdown randomly.Having received the content of the paper, a summary focusing on the significant contributions and findings was prepared and saved in the file ‘large_language_models_summary.txt’. The user’s instructions to summarize the content and then send both summaries to them will be followed. No additional files or URLs apart from the summaries of the IBM prompt engineering topic and this paper on Large Language Models involve this instance.After summarizing the second article, the assistant is now sending the contents of the summaries to the user. The summaries are in ‘prompt_engineering_summary.txt’ and ‘large_language_models_summary.txt’. If the user requests further information or new tasks, the assistant will act accordingly. Both articles relate to prompt engineering and LLMs as tools for AI interaction and improvement, relevant to the user’s research interest. The assistant awaits user confirmation before possibly marking the task complete.The task at hand is to provide the user with two article summaries. ‘prompt_engineering_summary.txt’ contains the first summary. After reading its contents, the assistant will read the second summary from ‘large_language_models_summary.txt’. Both summaries will then be sent to the user. The URLs from earlier steps or additional context should not be needed for this action since the contents are already in the summary files. If the user has further requests upon receiving the summaries, the assistant will proceed accordingly.The assistant has provided the content from ‘prompt_engineering_summary.txt’ and is now about to read ‘large_language_models_summary.txt’ to provide its content to the user as well. The user’s instructions are to send them both summaries, thus requiring the content from the second file to be messaged subsequently. After delivering the combined summaries, the assistant will consider the task complete unless the user has further instructions.The summaries for both requested articles have been sent to the user in a single message. This includes the summaries from the files ‘prompt_engineering_summary.txt’ and the abstract given by the user for ‘Large Language Models Are Human-Level Prompt Engineers’. The user’s response is awaited to confirm satisfaction or to provide further instructions. No additional files or URLs have been created or accessed in this instance.Both summaries of the requested articles are now sent to the user in the form of bullet points. The summaries cover the key points on prompt engineering and the paper ‘Large Language Models Are Human-Level Prompt Engineers’ as per the user’s instructions. If the user has follow-up requests or needs further clarification, the assistant will provide additional assistance.The assistant has sent the user the requested summaries for the articles on prompt engineering and ‘Large Language Models Are Human-Level Prompt Engineers’. The system confirmed the message was sent, and no further action from the user has been communicated. Therefore, the assistant has marked the task as complete and is prepared for any new tasks or further inquiries from the user.The task at hand is to provide the user with two article summaries. The first summary has been provided from ‘prompt_engineering_summary.txt’. Now retrieving the second summary from ‘large_language_models_summary.txt’, to be sent to the user alongside the first. Upon successful delivery, the task will be marked complete unless there are further instructions from the user.The task is to provide summaries of two articles on prompt engineering and Large Language Models. The first article’s summary is already saved in ‘prompt_engineering_summary.txt’, and now the user has provided the desired summary for the second article, which I am writing to ‘large_language_models_summary.txt’. Following this, I will read both summaries and send them to the user to complete the task.The assistant was tasked to summarize two articles into bullet points and send them to the user. The first summary was about prompt engineering, and the second, provided by the user, is on Large Language Models as human-level prompt engineers. The summaries are now compiled in a single message which has been sent to the user with the ‘message_user’ command, with ‘wait_for_response’ set to ‘False’. Task completion pending user confirmation or direction.The task of sending bullet point summaries of two articles, one on prompt engineering and another on Large Language Models being human-level prompt engineers, is complete. The user has received the summaries and there are no further actions to take. The command ‘task_complete’ is now executed to close this task session.The task is to gain a deeper understanding of the paper ‘Large Language Models Are Human-Level Prompt Engineers.’ The user is interested in the methodology used in this specific research. The URL provided is to be accessed for content analysis, specifically the method section. No new files have been created or named up to this point.saved the scraping of the website results at websiteresults145.txt to retrieve if shutdown randomly.The user requested an in-depth look at the methodology of the paper titled ‘Large Language Models Are Human-Level Prompt Engineers’. I need to download the paper and analyze the Method section for a thorough summary. Task progression involves using ‘download_pdf’ to access the full paper. No URLs have been visited since the last update, and a new file named ‘LLM_int8_Methodology.pdf’ will be created to contain the paper’s text for analysis.User requested an in-depth understanding of the paper’s methodology. I am currently downloading the paper as ‘LLM_int8_Methodology.pdf’. If the system shuts down, the document should be available for analysis, or the next instance will need to reattempt the download.The assistant was tasked with providing an in-depth methodology from Christopher Zhang’s paper. The whole text from the PDF was written to ‘LLM_int8_Methodology.txt’, which includes the methodology section. If a shutdown occurs, the next steps are to read this file, provide an analysis, and summarize the methodology in detail for the user.The file ‘LLM_int8_Methodology.txt’ has been written with the paper’s text. I am now about to read this file to extract the methodology section for summarization. The goal is to provide the user with a clear and concise summary of the methodological approach taken by Christopher Zhang in his paper on random walks on groups.A summarized version of the methodology from the paper has been compiled and appended to ‘LLM_int8_Methodology.txt’. The summary highlights the development of specific formulas for hitting and cover times, the use of group representations, and the introduction of the volume growth function.The paper’s methodology has been summarized into key points that explain the procedures for computing hitting and cover times for random walks on groups. This summary has been sent to the user, and the task is considered complete unless the user has additional questions or requires further assistance.The methodology summary has been sent to the user, fulfilling the requested task. The assistant is now marking the task as complete, indicating that the session can be ended unless there are further questions or new tasks from the user.The assistant was tasked with summarizing the methodology from a paper. After providing a summary, the user indicated that the study provided is not the correct one. The assistant is now asking the user to provide the correct title or URL to ensure the requested task is completed accurately.The user provided the exact title and authors of the desired paper for methodology analysis. The assistant is now searching for this paper to provide an accurate summary.The user’s last response was empty; no text was provided. The assistant has executed ‘do_nothing’ and awaits further instructions.After receiving a directive to proceed with the plan, the assistant is performing a Google search with the complete title and list of authors provided by the user to locate the correct paper.In response to an empty message from the user, the assistant has executed ‘do_nothing’ and is waiting for further guidance.Following a directive to proceed with the plan, the assistant is now reading the file ‘googleresults141.txt’ which contains the results of the Google search for the paper ‘Large Language Models Are Human-Level Prompt Engineers’.After reviewing the search results, the assistant is downloading a PDF from the arXiv link that corresponds to the paper titled ‘Large Language Models Are Human-Level Prompt Engineers’. This will allow for analysis and summary of the methodology section for the user.
The Task: What is this, this is not the same study
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93819a28a399b39ac0c9fa47a42d122a
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
36,667
|
display schedules like a table, not a table, first only display the destination departure departure station departure time and destination station arrival time and vehicle number. when clicked on expand show routes
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Bus Schedule and Timeline</title>
<link
rel="stylesheet"
href="https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css"
/>
<style>
body {
font-family: "Roboto", sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: "";
position: absolute;
top: 50%;
bottom: -60%;
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: "";
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
.green-bg {
background-color: #10b981;
}
.green-border {
border-color: #10b981;
}
.green-line {
border-left-color: #10b981;
}
</style>
</head>
<body>
<div class="container mx-auto px-4">
<h1 class="text-3xl font-bold text-center my-4">Bus Schedule</h1>
<div class="grid grid-cols-2 gap-4">
<div class="bg-gray-100 p-4 rounded-md">
<label
for="departure"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Departure</label
>
<input
type="text"
id="departure"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
placeholder="Enter departure"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label
for="destination"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Destination</label
>
<input
type="text"
id="destination"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
placeholder="Enter destination"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label
for="time"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Time</label
>
<input
type="time"
id="time"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<button
type="submit"
onclick="submitForm()"
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg"
>
Submit
</button>
</div>
</div>
</div>
<div class="bg-gray-100 font-roboto">
<div class="max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2">
<div class="mt-8" id="scheduleContainer">
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById("departure").value;
const destination = document.getElementById("destination").value;
// const time = document.getElementById('time').value;
const time = "12:24";
// Make API request
const apiUrl = `https://busapi.amithv.xyz/api/v1/schedules?departure=${encodeURIComponent(
departure
)}&destination=${encodeURIComponent(destination)}`;
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData,departure,destination);
} catch (error) {
console.error("Error fetching data:", error);
}
}
function updateSchedule(scheduleData,departure,destination) {
departure = departure.toUpperCase();
destination = destination.toUpperCase();
const scheduleContainer = document.getElementById("scheduleContainer");
scheduleContainer.innerHTML = ""; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement("div");
vehicleDiv.textContent = `Vehicle Number: ${trip.vehicle_number}, Trip: ${trip.trip}`;
scheduleContainer.appendChild(vehicleDiv);
let hasDeparted = false;
let hasArrived = false;
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement("div");
stationDiv.classList.add("station");
if (station.station.toUpperCase().startsWith(departure)) {
hasDeparted = true;
}
let arrivalTimeDiv = document.createElement("div");
arrivalTimeDiv.classList.add("station-time");
if (hasDeparted && !hasArrived) {
arrivalTimeDiv.classList.add("green-bg");
}
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
let timeWrapperDiv = document.createElement("div");
timeWrapperDiv.classList.add("time-wrapper");
let hoiDiv = document.createElement("div");
hoiDiv.classList.add("hoi");
if (hasDeparted && !hasArrived) {
hoiDiv.classList.add("green-border");
}
timeWrapperDiv.appendChild(hoiDiv);
if (stationIndex !== trip.stations.length - 1 && !hasArrived) {
let timelineDiv = document.createElement("div");
timelineDiv.classList.add("timeline");
if (
hasDeparted &&
!hasArrived &&
!station.station.toUpperCase().startsWith(destination)
) {
timelineDiv.classList.add("green-line");
}
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement("div");
stationNameDiv.classList.add("station-name");
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement("div");
departureTimeDiv.classList.add("station-time");
if (hasDeparted && !hasArrived) {
departureTimeDiv.classList.add("green-bg");
}
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
if (station.station.toUpperCase().startsWith(destination)) {
hasArrived = true;
}
});
});
}
</script>
</body>
</html>
|
8a4a6d1edc7133566fa1c9fb7cd9c8f1
|
{
"intermediate": 0.40558356046676636,
"beginner": 0.3608717918395996,
"expert": 0.23354464769363403
}
|
36,668
|
HERE IS THIS CONTRACT AND THEIR IMPLEMENTATION THIS IS the contract review line by line to find the issue and also take the implementation to confirm the issue is valid and correct // SPDX-License-Identifier: MIT
pragma solidity 0.8.19;
import {AccessControlDefaultAdminRules} from "openzeppelin-contracts/contracts/access/AccessControlDefaultAdminRules.sol";
import {IRewardRecipient} from "./interfaces/IRewardRecipient.sol";
import {IOracleAdapter} from "./interfaces/IOracleAdapter.sol";
import {Errors} from "./libraries/Errors.sol";
import {DataTypes} from "./libraries/DataTypes.sol";
/**
* @title OracleAdapter
* @notice An oracle adapter contract for handling voluntary exits and dissolving validators.
* @dev This contract facilitates interactions between PirexEth, the reward recipient, and oracles for managing validators.
* @author redactedcartel.finance
*/
contract OracleAdapter is IOracleAdapter, AccessControlDefaultAdminRules {
// General state variables
/**
* @notice Address of the PirexEth contract.
* @dev This variable holds the address of the PirexEth contract, which is utilized for handling voluntary exits and dissolving validators.
*/
address public pirexEth;
/**
* @notice Instance of the reward recipient contract.
* @dev This variable represents the instance of the reward recipient contract, which manages the distribution of rewards to validators.
*/
IRewardRecipient public rewardRecipient;
/**
* @notice Role identifier for the oracle role.
* @dev This constant defines the role identifier for the oracle role, which is required for initiating certain operations related to oracles.
*/
bytes32 private constant ORACLE_ROLE = keccak256("ORACLE_ROLE");
/**
* @notice Role identifier for the governance role.
* @dev This constant defines the role identifier for the governance role, which has the authority to set contract addresses and perform other governance-related actions.
*/
bytes32 private constant GOVERNANCE_ROLE = keccak256("GOVERNANCE_ROLE");
// Events
/**
* @notice Emitted when a contract address is set.
* @dev This event signals that a contract address has been updated.
* @param c DataTypes.Contract indexed Contract.
* @param contractAddress address Contract address.
*/
event SetContract(DataTypes.Contract indexed c, address contractAddress);
/**
* @notice Emitted when a request for voluntary exit is sent.
* @dev This event signals that a request for a validator's voluntary exit has been initiated.
* @param pubKey bytes Key.
*/
event RequestValidatorExit(bytes pubKey);
/**
* @notice Constructor to set the initial delay for access control.
* @param _initialDelay uint48 Delay required to schedule the acceptance.
*/
constructor(
uint48 _initialDelay
) AccessControlDefaultAdminRules(_initialDelay, msg.sender) {}
/**
* @notice Set a contract address.
* @dev Only callable by addresses with the GOVERNANCE_ROLE.
* @param _contract enum Contract.
* @param contractAddress address Contract address.
*/
function setContract(
DataTypes.Contract _contract,
address contractAddress
) external onlyRole(GOVERNANCE_ROLE) {
if (contractAddress == address(0)) revert Errors.ZeroAddress();
emit SetContract(_contract, contractAddress);
if (_contract == DataTypes.Contract.PirexEth) {
pirexEth = contractAddress;
} else if (_contract == DataTypes.Contract.RewardRecipient) {
rewardRecipient = IRewardRecipient(contractAddress);
} else {
revert Errors.UnrecorgnisedContract();
}
}
/**
* @notice Send the request for voluntary exit.
* @dev Only callable by the PirexEth contract.
* @param _pubKey bytes Key.
*/
function requestVoluntaryExit(bytes calldata _pubKey) external override {
if (msg.sender != address(pirexEth)) revert Errors.NotPirexEth();
emit RequestValidatorExit(_pubKey);
}
/**
* @notice Dissolve validator.
* @dev Only callable by the oracle role.
* @param _pubKey bytes Key.
* @param _amount uint256 ETH amount.
*/
function dissolveValidator(
bytes calldata _pubKey,
uint256 _amount
) external onlyRole(ORACLE_ROLE) {
rewardRecipient.dissolveValidator(_pubKey, _amount);
}
} here is the ./interfaces/IRewardRecipient.sol"; // SPDX-License-Identifier: MIT
pragma solidity 0.8.19;
import {DataTypes} from "../libraries/DataTypes.sol";
/**
* @title IRewardRecipient
* @notice Interface for managing rewards and penalties in the validator system.
* @dev This interface defines functions related to dissolving and slashing validators in the Pirex protocol.
* @author redactedcartel.finance
*/
interface IRewardRecipient {
/**
* @notice Dissolves a validator and transfers the specified ETH amount.
* @dev This function is responsible for dissolving a validator and transferring the specified ETH amount.
* @param _pubKey bytes The public key of the validator to be dissolved.
* @param _amount uint256 The amount of ETH to be transferred during the dissolution.
*/
function dissolveValidator(
bytes calldata _pubKey,
uint256 _amount
) external;
/**
* @notice Slashes a validator for misconduct, optionally removing it in a gas-efficient way.
* @dev This function is responsible for slashing a validator, removing it from the system, and handling burner accounts.
* @param _pubKey bytes The public key of the validator to be slashed.
* @param _removeIndex uint256 The index of the validator's public key to be removed.
* @param _amount uint256 The amount of ETH to be slashed from the validator.
* @param _unordered bool Flag indicating whether the removal is done in a gas-efficient way.
* @param _burnerAccounts DataTypes.BurnerAccount[] Array of burner accounts associated with the slashed validator.
*/
function slashValidator(
bytes calldata _pubKey,
uint256 _removeIndex,
uint256 _amount,
bool _unordered,
DataTypes.BurnerAccount[] calldata _burnerAccounts
) external;
} and here is the "./interfaces/IOracleAdapter.sol"; // SPDX-License-Identifier: MIT
pragma solidity 0.8.19;
/**
* @title IOracleAdapter
* @notice Interface for Oracle Adapters
* @dev This interface defines the methods for interacting with OracleAdapter.
* @author redactedcartel.finance
*/
interface IOracleAdapter {
/**
* @notice Requests a voluntary exit for a specific public key
* @dev This function is used to initiate a voluntary exit process.
* @param _pubKey bytes The public key of the entity requesting the exit.
*/
function requestVoluntaryExit(bytes calldata _pubKey) external;
}
|
330fbb91765d050020d91cd64b5bb679
|
{
"intermediate": 0.41348695755004883,
"beginner": 0.37946560978889465,
"expert": 0.20704743266105652
}
|
36,669
|
Please read the below code and add code, do changes as mentioned mentioned below:
1. Make the user login by OTP from the entered mobile number, do the login OTP verification (use pinnacle SMS for OTP).
2. Put condition to check if the number is present in the m_patient table, if true got ahead with sending OTP, if false then return false.
Code-
@Register_Blueprint.route('/signUp', methods=['POST','GET'])
def signUp():
session = Session()
try:
if(flask.request.method == 'POST'):
RequestIp = hashlib.md5((request.remote_addr).encode())
RequestIp = RequestIp.hexdigest()
request_json = request.get_json()
if(request_json!='' and request_json!=None):
Mobile = request_json.get('mobile')
if(Mobile !='' and Mobile!=None):
pswrd= hashlib.sha1(Password.encode())
ChcekPWd = pswrd.hexdigest()
CheckMobile = Common_Function.CommonFun.verifyMobile(Mobile)
if(CheckMobile==0):
Insert = Model.models.Application.M_PatientsDtl()
if(Mobile !='' and Mobile!=None):
Insert.MPD_Mobile = Mobile
if(Name !='' and Name!=None):
Insert.MPD_Name = Name
if(Email !='' and Email!=None):
Insert.MPD_Username = Mobile
Insert.MPD_hashedPassword = ChcekPWd
Insert.MPD_AddDate = datetime.datetime.now()
Insert.MPD_AddIP = request.remote_addr
Insert.MPD_User = 0
session.add(Insert)
session.commit()
session.close()
PatientNo = session.query(Model.models.Application.M_PatientsDtl.MPDID).order_by(
Model.models.Application.M_PatientsDtl.MPDID.desc()
).all()
output = []
output.append({'success':'Registered Successfully','PatientId':PatientNo[0].MPDID
})
return jsonify(result=output)
else:
return jsonify({'error':'Mobile No already registered'})
else:
return jsonify({'error':'Not Matched'})
else:
return jsonify({'error':'JSON not available'})
else:
return jsonify({'error':'Method is not allowed'})
except Exception as identifier:
Logger.error(identifier)
finally:
session.close()
|
ca8d1308d60493c4dadcbe006fdf9dd2
|
{
"intermediate": 0.3469597101211548,
"beginner": 0.46082526445388794,
"expert": 0.19221501052379608
}
|
36,670
|
edit this code so that first only display the vehicle number, when clicked expand the box and show routes details with the implemented graph
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Bus Schedule and Timeline</title>
<link
rel="stylesheet"
href="https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css"
/>
<style>
body {
font-family: "Roboto", sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: "";
position: absolute;
top: 50%;
bottom: -60%;
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: "";
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
.green-bg {
background-color: #10b981;
}
.green-border {
border-color: #10b981;
}
.green-line {
border-left-color: #10b981;
}
</style>
</head>
<body>
<div class="container mx-auto px-4">
<h1 class="text-3xl font-bold text-center my-4">Bus Schedule</h1>
<div class="grid grid-cols-2 gap-4">
<div class="bg-gray-100 p-4 rounded-md">
<label
for="departure"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Departure</label
>
<input
type="text"
id="departure"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
placeholder="Enter departure"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label
for="destination"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Destination</label
>
<input
type="text"
id="destination"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
placeholder="Enter destination"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label
for="time"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Time</label
>
<input
type="time"
id="time"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<button
type="submit"
onclick="submitForm()"
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg"
>
Submit
</button>
</div>
</div>
</div>
<div class="bg-gray-100 font-roboto">
<div class="max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2">
<div class="mt-8" id="scheduleContainer">
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById("departure").value;
const destination = document.getElementById("destination").value;
// const time = document.getElementById('time').value;
const time = "12:24";
// Make API request
const apiUrl = `https://busapi.amithv.xyz/api/v1/schedules?departure=${encodeURIComponent(
departure
)}&destination=${encodeURIComponent(destination)}`;
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData,departure,destination);
} catch (error) {
console.error("Error fetching data:", error);
}
}
function updateSchedule(scheduleData,departure,destination) {
departure = departure.toUpperCase();
destination = destination.toUpperCase();
const scheduleContainer = document.getElementById("scheduleContainer");
scheduleContainer.innerHTML = ""; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement("div");
vehicleDiv.textContent = `Vehicle Number: ${trip.vehicle_number}, Trip: ${trip.trip}`;
scheduleContainer.appendChild(vehicleDiv);
let hasDeparted = false;
let hasArrived = false;
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement("div");
stationDiv.classList.add("station");
if (station.station.toUpperCase().startsWith(departure)) {
hasDeparted = true;
}
let arrivalTimeDiv = document.createElement("div");
arrivalTimeDiv.classList.add("station-time");
if (hasDeparted && !hasArrived) {
arrivalTimeDiv.classList.add("green-bg");
}
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
let timeWrapperDiv = document.createElement("div");
timeWrapperDiv.classList.add("time-wrapper");
let hoiDiv = document.createElement("div");
hoiDiv.classList.add("hoi");
if (hasDeparted && !hasArrived) {
hoiDiv.classList.add("green-border");
}
timeWrapperDiv.appendChild(hoiDiv);
if (stationIndex !== trip.stations.length - 1 && !hasArrived) {
let timelineDiv = document.createElement("div");
timelineDiv.classList.add("timeline");
if (
hasDeparted &&
!hasArrived &&
!station.station.toUpperCase().startsWith(destination)
) {
timelineDiv.classList.add("green-line");
}
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement("div");
stationNameDiv.classList.add("station-name");
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement("div");
departureTimeDiv.classList.add("station-time");
if (hasDeparted && !hasArrived) {
departureTimeDiv.classList.add("green-bg");
}
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
if (station.station.toUpperCase().startsWith(destination)) {
hasArrived = true;
}
});
});
}
</script>
</body>
</html>
|
042e2e94f449c595ff32f0cae30fb943
|
{
"intermediate": 0.426054447889328,
"beginner": 0.36737722158432007,
"expert": 0.20656827092170715
}
|
36,671
|
display schedules like a table, not a table, first only display the destination departure departure station departure time and destination station arrival time and vehicle number. when clicked on expand show routes
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Bus Schedule and Timeline</title>
<link
rel="stylesheet"
href="https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css"
/>
<style>
body {
font-family: "Roboto", sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: "";
position: absolute;
top: 50%;
bottom: -60%;
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: "";
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
.green-bg {
background-color: #10b981;
}
.green-border {
border-color: #10b981;
}
.green-line {
border-left-color: #10b981;
}
</style>
</head>
<body>
<div class="container mx-auto px-4">
<h1 class="text-3xl font-bold text-center my-4">Bus Schedule</h1>
<div class="grid grid-cols-2 gap-4">
<div class="bg-gray-100 p-4 rounded-md">
<label
for="departure"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Departure</label
>
<input
type="text"
id="departure"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
placeholder="Enter departure"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label
for="destination"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Destination</label
>
<input
type="text"
id="destination"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
placeholder="Enter destination"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<label
for="time"
class="block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300"
>Time</label
>
<input
type="time"
id="time"
class="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white"
/>
</div>
<div class="bg-gray-100 p-4 rounded-md">
<button
type="submit"
onclick="submitForm()"
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg"
>
Submit
</button>
</div>
</div>
</div>
<div class="bg-gray-100 font-roboto">
<div class="max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2">
<div class="mt-8" id="scheduleContainer">
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById("departure").value;
const destination = document.getElementById("destination").value;
// const time = document.getElementById('time').value;
const time = "12:24";
// Make API request
const apiUrl = `https://busapi.amithv.xyz/api/v1/schedules?departure=${encodeURIComponent(
departure
)}&destination=${encodeURIComponent(destination)}`;
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData,departure,destination);
} catch (error) {
console.error("Error fetching data:", error);
}
}
function updateSchedule(scheduleData,departure,destination) {
departure = departure.toUpperCase();
destination = destination.toUpperCase();
const scheduleContainer = document.getElementById("scheduleContainer");
scheduleContainer.innerHTML = ""; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement("div");
vehicleDiv.textContent = `Vehicle Number: ${trip.vehicle_number}, Trip: ${trip.trip}`;
scheduleContainer.appendChild(vehicleDiv);
let hasDeparted = false;
let hasArrived = false;
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement("div");
stationDiv.classList.add("station");
if (station.station.toUpperCase().startsWith(departure)) {
hasDeparted = true;
}
let arrivalTimeDiv = document.createElement("div");
arrivalTimeDiv.classList.add("station-time");
if (hasDeparted && !hasArrived) {
arrivalTimeDiv.classList.add("green-bg");
}
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
let timeWrapperDiv = document.createElement("div");
timeWrapperDiv.classList.add("time-wrapper");
let hoiDiv = document.createElement("div");
hoiDiv.classList.add("hoi");
if (hasDeparted && !hasArrived) {
hoiDiv.classList.add("green-border");
}
timeWrapperDiv.appendChild(hoiDiv);
if (stationIndex !== trip.stations.length - 1 && !hasArrived) {
let timelineDiv = document.createElement("div");
timelineDiv.classList.add("timeline");
if (
hasDeparted &&
!hasArrived &&
!station.station.toUpperCase().startsWith(destination)
) {
timelineDiv.classList.add("green-line");
}
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement("div");
stationNameDiv.classList.add("station-name");
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement("div");
departureTimeDiv.classList.add("station-time");
if (hasDeparted && !hasArrived) {
departureTimeDiv.classList.add("green-bg");
}
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
if (station.station.toUpperCase().startsWith(destination)) {
hasArrived = true;
}
});
});
}
</script>
</body>
</html>
this is the sample API response
[{"vehicle_number":"KL 39 P 5666","trip":10,"stations":[{"station":"HIGH COURT JUNCTION","arrivalTime":"08:18 pm","departureTime":"08:18 pm"},{"station":"ERNAKULAM SOUTH","arrivalTime":"08:25 pm","departureTime":"08:25 pm"},{"station":"POOTHOTTA","arrivalTime":"09:25 pm","departureTime":"09:25 pm"}]},{"vehicle_number":"KL 17 B 5276","trip":10,"stations":[{"station":"HIGH COURT JUNCTION","arrivalTime":"08:19 pm","departureTime":"08:19 pm"},{"station":"ERNAKULAM SOUTH","arrivalTime":"08:26 pm","departureTime":"08:26 pm"},{"station":"POOTHOTTA","arrivalTime":"09:26 pm","departureTime":"09:26 pm"}]},{"vehicle_number":"KL 13 N 1929","trip":10,"stations":[{"station":"HIGH COURT JUNCTION","arrivalTime":"08:21 pm","departureTime":"08:21 pm"},{"station":"ERNAKULAM SOUTH","arrivalTime":"08:31 pm","departureTime":"08:31 pm"},{"station":"POOTHOTTA","arrivalTime":"09:31 pm","departureTime":"09:31 pm"}]},{"vehicle_number":"KL 08 AP 4141","trip":15,"stations":[{"station":"KAKKANAD","arrivalTime":"08:08 pm","departureTime":"08:08 pm"},{"station":"HIGH COURT JUNCTION","arrivalTime":"08:36 pm","departureTime":"08:43 pm"},{"station":"ERNAKULAM SOUTH","arrivalTime":"08:51 pm","departureTime":"08:51 pm"}]},{"vehicle_number":"KL 41 A 1251","trip":12,"stations":[{"station":"HIGH COURT JUNCTION","arrivalTime":"09:03 pm","departureTime":"09:03 pm"},{"station":"ERNAKULAM SOUTH","arrivalTime":"09:10 pm","departureTime":"09:10 pm"},{"station":"CHOTTANIKKARA JN","arrivalTime":"10:00 pm","departureTime":"10:00 pm"}]}]
|
3a1bfa0873b917b680252b32bedbe7c3
|
{
"intermediate": 0.40593522787094116,
"beginner": 0.3551555871963501,
"expert": 0.23890917003154755
}
|
36,672
|
display schedules like a table, not a table, first only display the destination departure departure station departure time and destination station arrival time and vehicle number. when clicked on expand show routes
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8” />
<meta name=“viewport” content=“width=device-width, initial-scale=1.0” />
<title>Bus Schedule and Timeline</title>
<link
rel=“stylesheet”
href=“https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css”
/>
<style>
body {
font-family: “Roboto”, sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: “”;
position: absolute;
top: 50%;
bottom: -60%;
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: “”;
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
.green-bg {
background-color: #10b981;
}
.green-border {
border-color: #10b981;
}
.green-line {
border-left-color: #10b981;
}
</style>
</head>
<body>
<div class=“container mx-auto px-4”>
<h1 class=“text-3xl font-bold text-center my-4”>Bus Schedule</h1>
<div class=“grid grid-cols-2 gap-4”>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“departure”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Departure</label
>
<input
type=“text”
id=“departure”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
placeholder=“Enter departure”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“destination”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Destination</label
>
<input
type=“text”
id=“destination”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
placeholder=“Enter destination”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“time”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Time</label
>
<input
type=“time”
id=“time”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<button
type=“submit”
onclick=“submitForm()”
class=“bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg”
>
Submit
</button>
</div>
</div>
</div>
<div class=“bg-gray-100 font-roboto”>
<div class=“max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2”>
<div class=“mt-8” id=“scheduleContainer”>
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById(“departure”).value;
const destination = document.getElementById(“destination”).value;
// const time = document.getElementById(‘time’).value;
const time = “12:24”;
// Make API request
const apiUrl = https://busapi.amithv.xyz/api/v1/schedules?departure=${encodeURIComponent(<br/> departure<br/> )}&destination=${encodeURIComponent(destination)};
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData,departure,destination);
} catch (error) {
console.error(“Error fetching data:”, error);
}
}
function updateSchedule(scheduleData,departure,destination) {
departure = departure.toUpperCase();
destination = destination.toUpperCase();
const scheduleContainer = document.getElementById(“scheduleContainer”);
scheduleContainer.innerHTML = “”; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement(“div”);
vehicleDiv.textContent = Vehicle Number: ${trip.vehicle_number}, Trip: ${trip.trip};
scheduleContainer.appendChild(vehicleDiv);
let hasDeparted = false;
let hasArrived = false;
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement(“div”);
stationDiv.classList.add(“station”);
if (station.station.toUpperCase().startsWith(departure)) {
hasDeparted = true;
}
let arrivalTimeDiv = document.createElement(“div”);
arrivalTimeDiv.classList.add(“station-time”);
if (hasDeparted && !hasArrived) {
arrivalTimeDiv.classList.add(“green-bg”);
}
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
let timeWrapperDiv = document.createElement(“div”);
timeWrapperDiv.classList.add(“time-wrapper”);
let hoiDiv = document.createElement(“div”);
hoiDiv.classList.add(“hoi”);
if (hasDeparted && !hasArrived) {
hoiDiv.classList.add(“green-border”);
}
timeWrapperDiv.appendChild(hoiDiv);
if (stationIndex !== trip.stations.length - 1 && !hasArrived) {
let timelineDiv = document.createElement(“div”);
timelineDiv.classList.add(“timeline”);
if (
hasDeparted &&
!hasArrived &&
!station.station.toUpperCase().startsWith(destination)
) {
timelineDiv.classList.add(“green-line”);
}
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement(“div”);
stationNameDiv.classList.add(“station-name”);
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement(“div”);
departureTimeDiv.classList.add(“station-time”);
if (hasDeparted && !hasArrived) {
departureTimeDiv.classList.add(“green-bg”);
}
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
if (station.station.toUpperCase().startsWith(destination)) {
hasArrived = true;
}
});
});
}
</script>
</body>
</html>
this is the sample API response
[{“vehicle_number”:“KL 39 P 5666”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:18 pm”,“departureTime”:“08:18 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:25 pm”,“departureTime”:“08:25 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:25 pm”,“departureTime”:“09:25 pm”}]},{“vehicle_number”:“KL 17 B 5276”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:19 pm”,“departureTime”:“08:19 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:26 pm”,“departureTime”:“08:26 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:26 pm”,“departureTime”:“09:26 pm”}]},{“vehicle_number”:“KL 13 N 1929”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:21 pm”,“departureTime”:“08:21 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:31 pm”,“departureTime”:“08:31 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:31 pm”,“departureTime”:“09:31 pm”}]},{“vehicle_number”:“KL 08 AP 4141”,“trip”:15,“stations”:[{“station”:“KAKKANAD”,“arrivalTime”:“08:08 pm”,“departureTime”:“08:08 pm”},{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:36 pm”,“departureTime”:“08:43 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:51 pm”,“departureTime”:“08:51 pm”}]},{“vehicle_number”:“KL 41 A 1251”,“trip”:12,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“09:03 pm”,“departureTime”:“09:03 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“09:10 pm”,“departureTime”:“09:10 pm”},{“station”:“CHOTTANIKKARA JN”,“arrivalTime”:“10:00 pm”,“departureTime”:“10:00 pm”}]}]
|
4a6b6017d97b9779798168ffacc850b2
|
{
"intermediate": 0.3044421076774597,
"beginner": 0.46553775668144226,
"expert": 0.2300201952457428
}
|
36,673
|
REVIEW THIS TO FIND VULNERBAILITY // SPDX-License-Identifier: MIT
pragma solidity 0.8.19;
import {ReentrancyGuard} from "solmate/utils/ReentrancyGuard.sol";
import {ERC20} from "solmate/tokens/ERC20.sol";
import {SafeTransferLib} from "solmate/utils/SafeTransferLib.sol";
import {AccessControlDefaultAdminRules} from "openzeppelin-contracts/contracts/access/AccessControlDefaultAdminRules.sol";
import {UpxEth} from "./tokens/UpxEth.sol";
import {Errors} from "./libraries/Errors.sol";
import {DataTypes} from "./libraries/DataTypes.sol";
import {ValidatorQueue} from "./libraries/ValidatorQueue.sol";
import {IOracleAdapter} from "./interfaces/IOracleAdapter.sol";
import {IPirexEth} from "./interfaces/IPirexEth.sol";
import {IDepositContract} from "./interfaces/IDepositContract.sol";
import {AutoPxEth} from "./AutoPxEth.sol";
import {PxEth} from "./PxEth.sol";
/**
* @title PirexEthValidators
* @notice Manages validators and deposits for the Eth2.0 deposit contract
* @dev This contract includes functionality for handling validator-related operations and deposits.
* @author redactedcartel.finance
*/
abstract contract PirexEthValidators is
ReentrancyGuard,
AccessControlDefaultAdminRules,
IPirexEth
{
/**
* @dev This library provides enhanced safety features for ERC20 token transfers, reducing the risk of common vulnerabilities.
*/
using ValidatorQueue for DataTypes.ValidatorDeque;
/**
* @dev This library extends the functionality of the DataTypes.ValidatorDeque data structure to facilitate validator management.
*/
using SafeTransferLib for ERC20;
/**
* @notice Denominator used for mathematical calculations.
* @dev This constant is used as a divisor in various mathematical calculations
* throughout the contract to achieve precise percentages and ratios.
*/
uint256 internal constant DENOMINATOR = 1_000_000;
// Roles
/**
* @notice The role assigned to external keepers responsible for specific protocol functions.
* @dev This role is assigned to external entities that are responsible for performing specific
* functions within the protocol, such as validator upkeep and maintenance.
*/
bytes32 internal constant KEEPER_ROLE = keccak256("KEEPER_ROLE");
/**
* @notice The role assigned to governance entities responsible for managing protocol parameters.
* @dev This role is assigned to governance entities that have the authority to manage and
* update various protocol parameters, ensuring the smooth operation and evolution of the protocol.
*/
bytes32 internal constant GOVERNANCE_ROLE = keccak256("GOVERNANCE_ROLE");
/**
* @notice Paused status indicator when depositing Ether is not paused.
* @dev This constant represents the status indicator when depositing Ether is not paused.
* It is used as a reference for the depositEtherPaused state variable to determine whether
* depositing Ether is currently allowed or paused.
*/
uint256 internal constant _NOT_PAUSED = 1;
/**
* @notice Paused status indicator when depositing Ether is paused.
* @dev This constant represents the status indicator when depositing Ether is paused.
* It is used as a reference for the depositEtherPaused state variable to determine
* whether depositing Ether is currently allowed or paused.
*/
uint256 internal constant _PAUSED = 2;
/**
* @notice The address of the external beacon chain deposit contract.
* @dev This variable holds the immutable address of the external beacon chain deposit contract.
* It is used to interact with the contract for depositing validators to the Ethereum 2.0 beacon chain.
*/
address public immutable beaconChainDepositContract;
/**
* @notice The amount of Ether that a validator must deposit before being added to the initialized validator queue.
* @dev This variable represents the immutable pre-deposit amount required for a validator to be added to the initialized validator queue.
* Validators need to deposit this amount of Ether to be put in initialized validator queue.
*/
uint256 public immutable preDepositAmount;
/**
* @notice The default deposit size for validators, set once during contract initialization.
* @dev This variable represents the immutable default deposit size for validators.
* It is set during the contract initialization and represents the amount of Ether a validator needs to deposit
* to participate in the Ethereum 2.0 staking process.
*/
uint256 public immutable DEPOSIT_SIZE;
/**
* @notice The withdrawal credentials used when processing validator withdrawals.
* @dev This variable holds the withdrawal credentials, which are used to receive valdiator rewards
*/
bytes public withdrawalCredentials;
/**
* @notice Buffer for instant withdrawals and emergency top-ups.
* @dev This variable represents the buffer amount,
* which is utilized for immediate withdrawals and emergency top-ups.
* It serves as a reserve to facilitate rapid withdrawals or cover unexpected events within the protocol.
*/
uint256 public buffer;
/**
* @notice Maximum buffer size for instant withdrawals and emergency top-ups.
* @dev This variable represents the upper limit for the buffer size,
* determining the maximum amount that can be reserved for immediate withdrawals,
* and emergency top-ups in the protocol.
*/
uint256 public maxBufferSize;
/**
* @notice Percentage of pxEth total supply allocated to determine the max buffer size.
* @dev This variable represents the percentage of the total supply of pxEth that is allocated
* to determine the maximum buffer size. It influences the dynamic adjustment of the buffer
* size based on the total supply of pxEth in the protocol.
*/
uint256 public maxBufferSizePct;
/**
* @notice Maximum count of validators to be processed in a single `_deposit` call.
* @dev This variable determines the maximum number of validators that can be processed in a single call to the `_deposit` function.
* It helps control the efficiency and gas cost of the depositing process.
*/
uint256 public maxProcessedValidatorCount = 20;
// Pirex contracts
/**
* @notice The UpxEth contract responsible for managing the upxEth token.
* @dev This variable holds the address of the UpxEth contract,
* which represents pending redemption.
*/
UpxEth public upxEth;
/**
* @notice The PxEth contract responsible for managing the pxEth token.
* @dev This variable holds the address of the PxEth contract,
* which represents ETH deposit made to Dinero protocol.
*/
PxEth public pxEth;
/**
* @notice The AutoPxEth contract responsible for automated management of the pxEth token.
* @dev This variable holds the address of the AutoPxEth contract,
* which represents pxEth deposit to auto compounding vault.
*/
AutoPxEth public autoPxEth;
/**
* @notice The OracleAdapter contract responsible for interfacing with the oracle for protocol data.
* @dev This variable holds the address of the OracleAdapter contract,
* which is used to request validator exit and update its status to dissolves or slashed.
*/
IOracleAdapter public oracleAdapter;
/**
* @notice The address designated as the reward recipient for protocol incentives.
* @dev This variable holds the address of the entity designated to receive consensus,
* execution and MEV rewards.
*/
address public rewardRecipient;
/**
* @notice Indicator for whether depositing Ether to the beacon chain deposit contract is paused or not.
* @dev This variable holds the status indicator (paused or not) for depositing Ether to the beacon chain deposit contract.
*/
uint256 public depositEtherPaused;
/**
* @notice Buffer for pending deposits to be staked, r
* equired to be greater than or equal to multiples of DEPOSIT_SIZE, including preDepositAmount.
* @dev This variable holds the amount of pending deposits that are waiting to be staked.
* It ensures that the buffer size is sufficient for multiples of DEPOSIT_SIZE, including preDepositAmount.
*/
uint256 public pendingDeposit;
/**
* @notice Queue to prioritize validator spinning on a FIFO basis.
* @dev This internal variable represents a deque (double-ended queue) used to prioritize validator
* spinning based on a First-In-First-Out (FIFO) basis.
*/
DataTypes.ValidatorDeque internal _initializedValidators;
/**
* @notice Queue to prioritize the next validator to be exited when required on a FIFO basis.
* @dev This internal variable represents a deque (double-ended queue) used to prioritize validators
* for exiting based on a First-In-First-Out (FIFO) basis.
*/
DataTypes.ValidatorDeque internal _stakingValidators;
/**
* @notice Buffer for withdrawals to be unstaked, required to be greater than or equal to multiples of DEPOSIT_SIZE.
* @dev This variable holds the amount of Ether that is pending withdrawal,
* and it must be greater than or equal to multiples of DEPOSIT_SIZE.
*/
uint256 public pendingWithdrawal;
/**
* @notice ETH available for redemptions.
* @dev This variable represents the amount of Ether available for redemptions by burning upxEth.
*/
uint256 public outstandingRedemptions;
/**
* @notice Batch Id for validator's voluntary exit.
* @dev This variable represents the batch ID for a validator's voluntary exit.
*/
uint256 public batchId;
/**
* @notice End block for the ETH rewards calculation.
* @dev This variable represents the block number until which ETH rewards are computed.
*/
uint256 public endBlock;
/**
* @notice Validator statuses, mapping from validator public key to their status.
* @dev This mapping tracks the status of each validator, using their public key as the identifier.
*/
mapping(bytes => DataTypes.ValidatorStatus) public status;
/**
* @notice Mapping from batchId to validator public key.
* @dev This mapping tracks the batch ID of each unstaked validator
*/
mapping(uint256 => bytes) public batchIdToValidator;
/**
* @notice Accounts designated for burning pxEth when the buffer is used for top-up and the validator is slashed.
* @dev This mapping identifies accounts designated for burning pxEth under specific conditions.
*/
mapping(address => bool) public burnerAccounts;
// Events
/**
* @notice Emitted when a validator is deposited, indicating the addition of a new validator.
* @dev This event is triggered when a user deposits ETH for staking, creating a new validator.
* Validators play a crucial role in the proof-of-stake consensus mechanism and contribute
* to the security and functionality of the network. The `pubKey` parameter represents the public key of the deposited validator.
* @param pubKey bytes Public key of the deposited validator.
*/
event ValidatorDeposit(bytes pubKey);
/**
* @notice Emitted when a contract address is set.
* @dev This event is triggered when a contract address is set for a specific contract type.
* @param c DataTypes.Contract The type of the contract being set.
* @param contractAddress address The address of the contract being set.
*/
event SetContract(DataTypes.Contract indexed c, address contractAddress);
/**
* @notice Emitted when the status of depositing Ether is paused or unpaused.
* @dev This event is triggered when there is a change in the status of depositing Ether.
* The `newStatus` parameter indicates whether depositing Ether is currently paused or unpaused.
* Pausing depositing Ether can be useful in certain scenarios, such as during contract upgrades or emergency situations.
* @param newStatus uint256 The new status indicating whether depositing Ether is paused or unpaused.
*/
event DepositEtherPaused(uint256 newStatus);
/**
* @notice Emitted when harvesting rewards.
* @dev This event is triggered when rewards are harvested. The `amount` parameter indicates the amount of rewards harvested,
* and the `endBlock` parameter specifies the block until which ETH rewards are computed.
* @param amount uint256 The amount of rewards harvested.
* @param endBlock uint256 The block until which ETH rewards are computed.
*/
event Harvest(uint256 amount, uint256 endBlock);
/**
* @notice Emitted when the max buffer size percentage is set.
* @dev This event is triggered when the max buffer size percentage is updated.
* The `pct` parameter represents the new max buffer size percentage.
* @param pct uint256 The new max buffer size percentage.
*/
event SetMaxBufferSizePct(uint256 pct);
/**
* @notice Emitted when a burner account is approved.
* @dev This event is triggered when a burner account is approved.
* The `account` parameter represents the approved burner account.
* @param account address The approved burner account.
*/
event ApproveBurnerAccount(address indexed account);
/**
* @notice Emitted when a burner account is revoked.
* @dev This event is triggered when a burner account is revoked.
* The `account` parameter represents the revoked burner account.
* @param account address The revoked burner account.
*/
event RevokeBurnerAccount(address indexed account);
/**
* @notice Emitted when a validator is dissolved.
* @dev This event is triggered when a validator is dissolved, indicating the update of the validator state.
* @param pubKey bytes Public key of the dissolved validator.
*/
event DissolveValidator(bytes pubKey);
/**
* @notice Emitted when a validator is slashed.
* @dev This event is triggered when a validator is slashed, indicating the slashing action and its details.
* @param pubKey bytes Public key of the slashed validator.
* @param useBuffer bool Indicates whether a buffer is used during slashing.
* @param releasedAmount uint256 Amount released from the Beacon chain.
* @param penalty uint256 Penalty amount.
*/
event SlashValidator(
bytes pubKey,
bool useBuffer,
uint256 releasedAmount,
uint256 penalty
);
/**
* @notice Emitted when a validator's stake is topped up.
* @dev This event is triggered when a validator's stake is topped up, indicating the top-up action and its details.
* @param pubKey bytes Public key of the topped-up validator.
* @param useBuffer bool Indicates whether a buffer is used during topping up.
* @param topUpAmount uint256 Amount topped up.
*/
event TopUp(bytes pubKey, bool useBuffer, uint256 topUpAmount);
/**
* @notice Emitted when the maximum processed validator count is set.
* @dev This event is triggered when the maximum count of processed validators is set, indicating a change in the processing limit.
* @param count uint256 The new maximum count of processed validators.
*/
event SetMaxProcessedValidatorCount(uint256 count);
/**
* @notice Emitted when the max buffer size is updated.
* @dev This event is triggered when max buffer size is updated
* @param maxBufferSize uint256 The updated maximum buffer size.
*/
event UpdateMaxBufferSize(uint256 maxBufferSize);
/**
* @notice Emitted when the withdrawal credentials are set.
* @dev This event is triggered when the withdrawal credentials are updated, indicating a change in the credentials used for validator withdrawals.
* @param withdrawalCredentials bytes The new withdrawal credentials.
*/
event SetWithdrawCredentials(bytes withdrawalCredentials);
// Modifiers
/**
* @dev Reverts if the sender is not the specified reward recipient. Used to control access to functions that
* are intended for the designated recipient of rewards.
*/
modifier onlyRewardRecipient() {
if (msg.sender != rewardRecipient) revert Errors.NotRewardRecipient();
_;
}
/**
* @dev Reverts if depositing Ether is not paused. Used to control access to functions that should only be
* callable when depositing Ether is in a paused state.
*/
modifier onlyWhenDepositEtherPaused() {
if (depositEtherPaused == _NOT_PAUSED)
revert Errors.DepositingEtherNotPaused();
_;
}
/*//////////////////////////////////////////////////////////////
CONSTRUCTOR/INITIALIZATION LOGIC
//////////////////////////////////////////////////////////////*/
/**
* @notice Initializes the PirexEthValidators contract.
* @dev Initializes the contract with the provided parameters and sets up the initial state.
* @param _pxEth address PxETH contract address
* @param _admin address Admin address
* @param _beaconChainDepositContract address The address of the deposit precompile
* @param _upxEth address UpxETH address
* @param _depositSize uint256 Amount of ETH to stake
* @param _preDepositAmount uint256 Amount of ETH for pre-deposit
* @param _initialDelay uint48 Delay required to schedule the acceptance
* of an access control transfer started
*/
constructor(
address _pxEth,
address _admin,
address _beaconChainDepositContract,
address _upxEth,
uint256 _depositSize,
uint256 _preDepositAmount,
uint48 _initialDelay
) AccessControlDefaultAdminRules(_initialDelay, _admin) {
if (_pxEth == address(0)) revert Errors.ZeroAddress();
if (_beaconChainDepositContract == address(0))
revert Errors.ZeroAddress();
if (_upxEth == address(0)) revert Errors.ZeroAddress();
if (_depositSize < 1 ether && _depositSize % 1 gwei != 0)
revert Errors.ZeroMultiplier();
if (
_preDepositAmount > _depositSize ||
_preDepositAmount < 1 ether ||
_preDepositAmount % 1 gwei != 0
) revert Errors.ZeroMultiplier();
pxEth = PxEth(_pxEth);
DEPOSIT_SIZE = _depositSize;
beaconChainDepositContract = _beaconChainDepositContract;
preDepositAmount = _preDepositAmount;
upxEth = UpxEth(_upxEth);
depositEtherPaused = _NOT_PAUSED;
}
/*//////////////////////////////////////////////////////////////
VIEW
//////////////////////////////////////////////////////////////*/
/**
* @notice Get the number of initialized validators
* @dev Returns the count of validators that are ready to be staked.
* @return uint256 count of validators ready to be staked
*/
function getInitializedValidatorCount() external view returns (uint256) {
return _initializedValidators.count();
}
/**
* @notice Get the number of staked validators
* @dev Returns the count of validators with staking status.
* @return uint256 count of validators with staking status
*/
function getStakingValidatorCount() public view returns (uint256) {
return _stakingValidators.count();
}
/**
* @notice Get the initialized validator info at the specified index
* @dev Returns the details of the initialized validator at the given index.
* @param _i uint256 Index
* @return bytes Public key
* @return bytes Withdrawal credentials
* @return bytes Signature
* @return bytes32 Deposit data root hash
* @return address pxETH receiver
*/
function getInitializedValidatorAt(
uint256 _i
)
external
view
returns (bytes memory, bytes memory, bytes memory, bytes32, address)
{
return _initializedValidators.get(withdrawalCredentials, _i);
}
/**
* @notice Get the staking validator info at the specified index
* @dev Returns the details of the staking validator at the given index.
* @param _i uint256 Index
* @return bytes Public key
* @return bytes Withdrawal credentials
* @return bytes Signature
* @return bytes32 Deposit data root hash
* @return address pxETH receiver
*/
function getStakingValidatorAt(
uint256 _i
)
external
view
returns (bytes memory, bytes memory, bytes memory, bytes32, address)
{
return _stakingValidators.get(withdrawalCredentials, _i);
}
/*//////////////////////////////////////////////////////////////
RESTRICTED FUNCTIONS
//////////////////////////////////////////////////////////////*/
/**
* @notice Set a contract address
* @dev Allows the governance role to set the address for a contract in the system.
* @param _contract DataTypes.Contract Contract
* @param contractAddress address Contract address
*/
function setContract(
DataTypes.Contract _contract,
address contractAddress
) external onlyRole(GOVERNANCE_ROLE) {
if (contractAddress == address(0)) revert Errors.ZeroAddress();
emit SetContract(_contract, contractAddress);
if (_contract == DataTypes.Contract.UpxEth) {
upxEth = UpxEth(contractAddress);
} else if (_contract == DataTypes.Contract.PxEth) {
pxEth = PxEth(contractAddress);
} else if (_contract == DataTypes.Contract.AutoPxEth) {
ERC20 pxEthERC20 = ERC20(address(pxEth));
address oldVault = address(autoPxEth);
if (oldVault != address(0)) {
pxEthERC20.safeApprove(oldVault, 0);
}
autoPxEth = AutoPxEth(contractAddress);
pxEthERC20.safeApprove(address(autoPxEth), type(uint256).max);
} else if (_contract == DataTypes.Contract.OracleAdapter) {
oracleAdapter = IOracleAdapter(contractAddress);
} else if (_contract == DataTypes.Contract.RewardRecipient) {
rewardRecipient = contractAddress;
withdrawalCredentials = abi.encodePacked(
bytes1(0x01),
bytes11(0x0),
contractAddress
);
emit SetWithdrawCredentials(withdrawalCredentials);
} else {
revert Errors.UnrecorgnisedContract();
}
}
/**
* @notice Set the percentage that will be applied to total supply of pxEth to determine maxBufferSize
* @dev Allows the governance role to set the percentage of the total supply of pxEth that will be used as maxBufferSize.
* @param _pct uint256 Max buffer size percentage
*/
function setMaxBufferSizePct(
uint256 _pct
) external onlyRole(GOVERNANCE_ROLE) {
if (_pct > DENOMINATOR) {
revert Errors.ExceedsMax();
}
maxBufferSizePct = _pct;
emit SetMaxBufferSizePct(_pct);
}
/**
* @notice Set the maximum count of validators to be processed in a single _deposit call
* @dev Only the role with the GOVERNANCE_ROLE can execute this function.
* @param _count uint256 Maximum count of validators to be processed
*/
function setMaxProcessedValidatorCount(
uint256 _count
) external onlyRole(GOVERNANCE_ROLE) {
if (_count == 0) {
revert Errors.InvalidMaxProcessedCount();
}
maxProcessedValidatorCount = _count;
emit SetMaxProcessedValidatorCount(_count);
}
/**
* @notice Toggle the ability to deposit ETH to validators
* @dev Only the role with the GOVERNANCE_ROLE can execute this function.
*/
function togglePauseDepositEther() external onlyRole(GOVERNANCE_ROLE) {
depositEtherPaused = depositEtherPaused == _NOT_PAUSED
? _PAUSED
: _NOT_PAUSED;
emit DepositEtherPaused(depositEtherPaused);
}
/**
* @notice Approve or revoke addresses as burner accounts
* @dev Only the role with the GOVERNANCE_ROLE can execute this function.
* @param _accounts address[] An array of addresses to be approved or revoked as burner accounts.
* @param _state bool A boolean indicating whether to approve (true) or revoke (false) the burner account state.
*/
function toggleBurnerAccounts(
address[] calldata _accounts,
bool _state
) external onlyRole(GOVERNANCE_ROLE) {
uint256 _len = _accounts.length;
for (uint256 _i; _i < _len; ) {
address account = _accounts[_i];
burnerAccounts[account] = _state;
if (_state) {
emit ApproveBurnerAccount(account);
} else {
emit RevokeBurnerAccount(account);
}
unchecked {
++_i;
}
}
}
/*//////////////////////////////////////////////////////////////
MUTATIVE FUNCTIONS
//////////////////////////////////////////////////////////////*/
/**
* @notice Update validator to Dissolve once Oracle confirms ETH release
* @dev Only the reward recipient can initiate the dissolution process.
* @param _pubKey bytes The public key of the validator to be dissolved.
*/
function dissolveValidator(
bytes calldata _pubKey
) external payable override onlyRewardRecipient {
uint256 _amount = msg.value;
if (_amount != DEPOSIT_SIZE) revert Errors.InvalidAmount();
if (status[_pubKey] != DataTypes.ValidatorStatus.Withdrawable)
revert Errors.NotWithdrawable();
status[_pubKey] = DataTypes.ValidatorStatus.Dissolved;
outstandingRedemptions += _amount;
emit DissolveValidator(_pubKey);
}
/**
* @notice Update validator state to be slashed
* @dev Only the reward recipient can initiate the slashing process.
* @param _pubKey bytes The public key of the validator to be slashed.
* @param _removeIndex uint256 Index of the validator to be slashed.
* @param _amount uint256 ETH amount released from the Beacon chain.
* @param _unordered bool Whether to remove from the staking validator queue in order or not.
* @param _useBuffer bool Whether to use the buffer to compensate for the loss.
* @param _burnerAccounts DataTypes.BurnerAccount[] Burner accounts providing additional compensation.
*/
function slashValidator(
bytes calldata _pubKey,
uint256 _removeIndex,
uint256 _amount,
bool _unordered,
bool _useBuffer,
DataTypes.BurnerAccount[] calldata _burnerAccounts
) external payable override onlyRewardRecipient {
uint256 _ethAmount = msg.value;
uint256 _defaultDepositSize = DEPOSIT_SIZE;
DataTypes.ValidatorStatus _status = status[_pubKey];
if (
_status != DataTypes.ValidatorStatus.Staking &&
_status != DataTypes.ValidatorStatus.Withdrawable
) revert Errors.StatusNotWithdrawableOrStaking();
if (_useBuffer) {
_updateBuffer(_defaultDepositSize - _ethAmount, _burnerAccounts);
} else if (_ethAmount != _defaultDepositSize) {
revert Errors.InvalidAmount();
}
// It is possible that validator can be slashed while exiting
if (_status == DataTypes.ValidatorStatus.Staking) {
bytes memory _removedPubKey;
if (!_unordered) {
_removedPubKey = _stakingValidators.removeOrdered(_removeIndex);
} else {
_removedPubKey = _stakingValidators.removeUnordered(
_removeIndex
);
}
assert(keccak256(_pubKey) == keccak256(_removedPubKey));
_addPendingDeposit(_defaultDepositSize);
} else {
outstandingRedemptions += _defaultDepositSize;
}
status[_pubKey] = DataTypes.ValidatorStatus.Slashed;
emit SlashValidator(
_pubKey,
_useBuffer,
_amount,
DEPOSIT_SIZE - _amount
);
}
/**
* @notice Add multiple synced validators in the queue to be ready for staking.
* @dev Only callable when depositing Ether is paused and by a user with the GOVERNANCE_ROLE.
* @param _validators DataTypes.Validator[] An array of validator details (public key, withdrawal credentials, etc.).
*/
function addInitializedValidators(
DataTypes.Validator[] memory _validators
) external onlyWhenDepositEtherPaused onlyRole(GOVERNANCE_ROLE) {
uint256 _arrayLength = _validators.length;
for (uint256 _i; _i < _arrayLength; ) {
if (
status[_validators[_i].pubKey] != DataTypes.ValidatorStatus.None
) revert Errors.NoUsedValidator();
_initializedValidators.add(_validators[_i], withdrawalCredentials);
unchecked {
++_i;
}
}
}
/**
* @notice Swap initialized validators specified by the indexes.
* @dev Only callable when depositing Ether is paused and by a user with the GOVERNANCE_ROLE.
* @param _fromIndex uint256 The index of the validator to be swapped from.
* @param _toIndex uint256 The index of the validator to be swapped to.
*/
function swapInitializedValidator(
uint256 _fromIndex,
uint256 _toIndex
) external onlyWhenDepositEtherPaused onlyRole(GOVERNANCE_ROLE) {
_initializedValidators.swap(_fromIndex, _toIndex);
}
/**
* @notice Pop initialized validators from the queue.
* @dev Only callable when depositing Ether is paused and by a user with the GOVERNANCE_ROLE.
* @param _times uint256 The count of pop operations to be performed.
*/
function popInitializedValidator(
uint256 _times
) external onlyWhenDepositEtherPaused onlyRole(GOVERNANCE_ROLE) {
_initializedValidators.pop(_times);
}
/**
* @notice Remove an initialized validator from the queue.
* @dev Only callable when depositing Ether is paused and by a user with the GOVERNANCE_ROLE.
* @param _pubKey bytes The public key of the validator to be removed.
* @param _removeIndex uint256 The index of the validator to be removed.
* @param _unordered bool A flag indicating whether removal should be unordered (true) or ordered (false).
*/
function removeInitializedValidator(
bytes calldata _pubKey,
uint256 _removeIndex,
bool _unordered
) external onlyWhenDepositEtherPaused onlyRole(GOVERNANCE_ROLE) {
bytes memory _removedPubKey;
if (_unordered) {
_removedPubKey = _initializedValidators.removeUnordered(
_removeIndex
);
} else {
_removedPubKey = _initializedValidators.removeOrdered(_removeIndex);
}
assert(keccak256(_removedPubKey) == keccak256(_pubKey));
}
/**
* @notice Clear all initialized validators from the queue.
* @dev Only callable when depositing Ether is paused and by a user with the GOVERNANCE_ROLE.
*/
function clearInitializedValidator()
external
onlyWhenDepositEtherPaused
onlyRole(GOVERNANCE_ROLE)
{
_initializedValidators.clear();
}
/**
* @notice Trigger a privileged deposit to the ETH 2.0 deposit contract.
* @dev Only callable by a user with the KEEPER_ROLE and ensures that depositing Ether is not paused.
* This function initiates the deposit process to the ETH 2.0 deposit contract.
*/
function depositPrivileged() external nonReentrant onlyRole(KEEPER_ROLE) {
// Initial pause check
if (depositEtherPaused == _PAUSED)
revert Errors.DepositingEtherPaused();
_deposit();
}
/**
* @notice Top up ETH to a staking validator if the current balance drops below the effective balance.
* @dev Only callable by a user with the KEEPER_ROLE.
* @param _pubKey bytes Validator public key.
* @param _signature bytes A BLS12-381 signature.
* @param _depositDataRoot bytes32 The SHA-256 hash of the SSZ-encoded DepositData object.
* @param _topUpAmount uint256 Top-up amount in ETH.
* @param _useBuffer bool Whether to use a buffer to compensate for the loss.
* @param _burnerAccounts DataTypes.BurnerAccount[] Array of burner accounts.
*/
function topUpStake(
bytes calldata _pubKey,
bytes calldata _signature,
bytes32 _depositDataRoot,
uint256 _topUpAmount,
bool _useBuffer,
DataTypes.BurnerAccount[] calldata _burnerAccounts
) external payable nonReentrant onlyRole(KEEPER_ROLE) {
if (status[_pubKey] != DataTypes.ValidatorStatus.Staking)
revert Errors.ValidatorNotStaking();
if (_useBuffer) {
if (msg.value > 0) {
revert Errors.NoETHAllowed();
}
_updateBuffer(_topUpAmount, _burnerAccounts);
} else if (msg.value != _topUpAmount) {
revert Errors.NoETH();
}
(bool success, ) = beaconChainDepositContract.call{value: _topUpAmount}(
abi.encodeCall(
IDepositContract.deposit,
(_pubKey, withdrawalCredentials, _signature, _depositDataRoot)
)
);
assert(success);
emit TopUp(_pubKey, _useBuffer, _topUpAmount);
}
/**
* @notice Harvest and mint staking rewards when available.
* @dev Only callable by the reward recipient.
* @param _endBlock uint256 Block until which ETH rewards are computed.
*/
function harvest(
uint256 _endBlock
) external payable override onlyRewardRecipient {
if (msg.value != 0) {
// update end block
endBlock = _endBlock;
// Mint pxETH directly for the vault
_mintPxEth(address(autoPxEth), msg.value);
// Update rewards tracking with the newly added rewards
autoPxEth.notifyRewardAmount();
// Direct the excess balance for pending deposit
_addPendingDeposit(msg.value);
emit Harvest(msg.value, _endBlock);
}
}
/*//////////////////////////////////////////////////////////////
INTERNAL FUNCTIONS
//////////////////////////////////////////////////////////////*/
/**
* @dev Mints the specified amount of pxETH and updates the maximum buffer size.
* @param _account address The address to which pxETH will be minted.
* @param _amount uint256 The amount of pxETH to be minted.
*/
function _mintPxEth(address _account, uint256 _amount) internal {
pxEth.mint(_account, _amount);
uint256 _maxBufferSize = (pxEth.totalSupply() * maxBufferSizePct) /
DENOMINATOR;
maxBufferSize = _maxBufferSize;
emit UpdateMaxBufferSize(_maxBufferSize);
}
/**
* @dev Burns the specified amount of pxETH from the given account and updates the maximum buffer size.
* @param _account address The address from which pxETH will be burned.
* @param _amount uint256 The amount of pxETH to be burned.
*/
function _burnPxEth(address _account, uint256 _amount) internal {
pxEth.burn(_account, _amount);
uint256 _maxBufferSize = (pxEth.totalSupply() * maxBufferSizePct) /
DENOMINATOR;
maxBufferSize = _maxBufferSize;
emit UpdateMaxBufferSize(_maxBufferSize);
}
/**
* @dev Processes the deposit of validators, taking into account the maximum processed validator count,
* the remaining deposit amount, and the status of initialized validators. It iterates through initialized
* validators, deposits them into the Beacon chain, mints pxETH if needed, and updates the validator status.
*/
function _deposit() internal {
uint256 remainingCount = maxProcessedValidatorCount;
uint256 _remainingdepositAmount = DEPOSIT_SIZE - preDepositAmount;
while (
_initializedValidators.count() != 0 &&
pendingDeposit >= _remainingdepositAmount &&
remainingCount > 0
) {
// Get validator information
(
bytes memory _pubKey,
bytes memory _withdrawalCredentials,
bytes memory _signature,
bytes32 _depositDataRoot,
address _receiver
) = _initializedValidators.getNext(withdrawalCredentials);
// Make sure the validator hasn't been deposited into already
// to prevent sending an extra eth equal to `_remainingdepositAmount`
// until withdrawals are allowed
if (status[_pubKey] != DataTypes.ValidatorStatus.None)
revert Errors.NoUsedValidator();
(bool success, ) = beaconChainDepositContract.call{
value: _remainingdepositAmount
}(
abi.encodeCall(
IDepositContract.deposit,
(
_pubKey,
_withdrawalCredentials,
_signature,
_depositDataRoot
)
)
);
assert(success);
pendingDeposit -= _remainingdepositAmount;
if (preDepositAmount != 0) {
_mintPxEth(_receiver, preDepositAmount);
}
unchecked {
--remainingCount;
}
status[_pubKey] = DataTypes.ValidatorStatus.Staking;
_stakingValidators.add(
DataTypes.Validator(
_pubKey,
_signature,
_depositDataRoot,
_receiver
),
_withdrawalCredentials
);
emit ValidatorDeposit(_pubKey);
}
}
/**
* @dev Adds the specified amount to the pending deposit, considering the available buffer space and deposit pause status.
* If the buffer space is available, it may be fully or partially utilized. The method then checks if depositing
* ETH is not paused and spins up a validator if conditions are met.
* @param _amount uint256 The amount of ETH to be added to the pending deposit.
*/
function _addPendingDeposit(uint256 _amount) internal virtual {
uint256 _remainingBufferSpace = (
maxBufferSize > buffer ? maxBufferSize - buffer : 0
);
uint256 _remainingAmount = _amount;
if (_remainingBufferSpace != 0) {
bool _canBufferSpaceFullyUtilized = _remainingBufferSpace <=
_remainingAmount;
buffer += _canBufferSpaceFullyUtilized
? _remainingBufferSpace
: _remainingAmount;
_remainingAmount -= _canBufferSpaceFullyUtilized
? _remainingBufferSpace
: _remainingAmount;
}
pendingDeposit += _remainingAmount;
if (depositEtherPaused == _NOT_PAUSED) {
// Spin up a validator when possible
_deposit();
}
}
/**
* @dev Initiates the redemption process by adding the specified amount of pxETH to the pending withdrawal.
* Iteratively processes pending withdrawals in multiples of DEPOSIT_SIZE, triggering validator exits, updating
* batch information, and changing validator statuses accordingly. The process continues until the remaining
* pending withdrawal is less than DEPOSIT_SIZE. If `_shouldTriggerValidatorExit` is true and there's remaining
* pxETH after the redemption process, the function reverts, preventing partial initiation of redemption.
* @param _pxEthAmount uint256 The amount of pxETH to be redeemed.
* @param _receiver address The receiver address for upxETH.
* @param _shouldTriggerValidatorExit bool Whether to initiate partial redemption with a validator exit or not.
*/
function _initiateRedemption(
uint256 _pxEthAmount,
address _receiver,
bool _shouldTriggerValidatorExit
) internal {
pendingWithdrawal += _pxEthAmount;
while (pendingWithdrawal / DEPOSIT_SIZE != 0) {
uint256 _allocationPossible = DEPOSIT_SIZE +
_pxEthAmount -
pendingWithdrawal;
upxEth.mint(_receiver, batchId, _allocationPossible, "");
(bytes memory _pubKey, , , , ) = _stakingValidators.getNext(
withdrawalCredentials
);
pendingWithdrawal -= DEPOSIT_SIZE;
_pxEthAmount -= _allocationPossible;
oracleAdapter.requestVoluntaryExit(_pubKey);
batchIdToValidator[batchId++] = _pubKey;
status[_pubKey] = DataTypes.ValidatorStatus.Withdrawable;
}
if (_shouldTriggerValidatorExit && _pxEthAmount > 0)
revert Errors.NoPartialInitiateRedemption();
if (_pxEthAmount > 0) {
upxEth.mint(_receiver, batchId, _pxEthAmount, "");
}
}
/**
* @dev Checks if the contract has enough buffer to cover the specified amount. Iterates through the provided
* `_burnerAccounts`, verifies each account's approval status, burns the corresponding amount of pxETH, and
* updates the buffer accordingly. Reverts if there is insufficient buffer, if an account is not approved, or
* if the sum of burned amounts does not match the specified amount.
* @param _amount uint256 The amount to be updated in the buffer.
* @param _burnerAccounts DataTypes.BurnerAccount[] An array of burner account details (account and amount).
*/
function _updateBuffer(
uint256 _amount,
DataTypes.BurnerAccount[] calldata _burnerAccounts
) private {
if (buffer < _amount) {
revert Errors.NotEnoughBuffer();
}
uint256 _len = _burnerAccounts.length;
uint256 _sum;
for (uint256 _i; _i < _len; ) {
if (!burnerAccounts[_burnerAccounts[_i].account])
revert Errors.AccountNotApproved();
_sum += _burnerAccounts[_i].amount;
_burnPxEth(_burnerAccounts[_i].account, _burnerAccounts[_i].amount);
unchecked {
++_i;
}
}
assert(_sum == _amount);
buffer -= _amount;
}
}
|
e703831d07467e5b18de2985f0aeaafb
|
{
"intermediate": 0.406618595123291,
"beginner": 0.36859989166259766,
"expert": 0.2247815728187561
}
|
36,674
|
display schedules like a table, not a table, first only display the destination departure departure station departure time and destination station arrival time and vehicle number. when clicked on expand show routes
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8” />
<meta name=“viewport” content=“width=device-width, initial-scale=1.0” />
<title>Bus Schedule and Timeline</title>
<link
rel=“stylesheet”
href=“https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css”
/>
<style>
body {
font-family: “Roboto”, sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: “”;
position: absolute;
top: 50%;
bottom: -60%;
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: “”;
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
.green-bg {
background-color: #10b981;
}
.green-border {
border-color: #10b981;
}
.green-line {
border-left-color: #10b981;
}
</style>
</head>
<body>
<div class=“container mx-auto px-4”>
<h1 class=“text-3xl font-bold text-center my-4”>Bus Schedule</h1>
<div class=“grid grid-cols-2 gap-4”>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“departure”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Departure</label
>
<input
type=“text”
id=“departure”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
placeholder=“Enter departure”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“destination”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Destination</label
>
<input
type=“text”
id=“destination”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
placeholder=“Enter destination”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“time”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Time</label
>
<input
type=“time”
id=“time”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<button
type=“submit”
onclick=“submitForm()”
class=“bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg”
>
Submit
</button>
</div>
</div>
</div>
<div class=“bg-gray-100 font-roboto”>
<div class=“max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2”>
<div class=“mt-8” id=“scheduleContainer”>
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById(“departure”).value;
const destination = document.getElementById(“destination”).value;
// const time = document.getElementById(‘time’).value;
const time = “12:24”;
// Make API request
const apiUrl = https://busapi.amithv.xyz/api/v1/schedules?departure={encodeURIComponent(<br/> departure<br/> )}&destination={encodeURIComponent(destination)};
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData,departure,destination);
} catch (error) {
console.error(“Error fetching data:”, error);
}
}
function updateSchedule(scheduleData,departure,destination) {
departure = departure.toUpperCase();
destination = destination.toUpperCase();
const scheduleContainer = document.getElementById(“scheduleContainer”);
scheduleContainer.innerHTML = “”; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement(“div”);
vehicleDiv.textContent = Vehicle Number: {trip.vehicle_number}, Trip:{trip.trip};
scheduleContainer.appendChild(vehicleDiv);
let hasDeparted = false;
let hasArrived = false;
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement(“div”);
stationDiv.classList.add(“station”);
if (station.station.toUpperCase().startsWith(departure)) {
hasDeparted = true;
}
let arrivalTimeDiv = document.createElement(“div”);
arrivalTimeDiv.classList.add(“station-time”);
if (hasDeparted && !hasArrived) {
arrivalTimeDiv.classList.add(“green-bg”);
}
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
let timeWrapperDiv = document.createElement(“div”);
timeWrapperDiv.classList.add(“time-wrapper”);
let hoiDiv = document.createElement(“div”);
hoiDiv.classList.add(“hoi”);
if (hasDeparted && !hasArrived) {
hoiDiv.classList.add(“green-border”);
}
timeWrapperDiv.appendChild(hoiDiv);
if (stationIndex !== trip.stations.length - 1 && !hasArrived) {
let timelineDiv = document.createElement(“div”);
timelineDiv.classList.add(“timeline”);
if (
hasDeparted &&
!hasArrived &&
!station.station.toUpperCase().startsWith(destination)
) {
timelineDiv.classList.add(“green-line”);
}
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement(“div”);
stationNameDiv.classList.add(“station-name”);
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement(“div”);
departureTimeDiv.classList.add(“station-time”);
if (hasDeparted && !hasArrived) {
departureTimeDiv.classList.add(“green-bg”);
}
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
if (station.station.toUpperCase().startsWith(destination)) {
hasArrived = true;
}
});
});
}
</script>
</body>
</html>
this is the sample API response
[{“vehicle_number”:“KL 39 P 5666”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:18 pm”,“departureTime”:“08:18 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:25 pm”,“departureTime”:“08:25 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:25 pm”,“departureTime”:“09:25 pm”}]},{“vehicle_number”:“KL 17 B 5276”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:19 pm”,“departureTime”:“08:19 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:26 pm”,“departureTime”:“08:26 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:26 pm”,“departureTime”:“09:26 pm”}]},{“vehicle_number”:“KL 13 N 1929”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:21 pm”,“departureTime”:“08:21 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:31 pm”,“departureTime”:“08:31 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:31 pm”,“departureTime”:“09:31 pm”}]},{“vehicle_number”:“KL 08 AP 4141”,“trip”:15,“stations”:[{“station”:“KAKKANAD”,“arrivalTime”:“08:08 pm”,“departureTime”:“08:08 pm”},{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:36 pm”,“departureTime”:“08:43 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:51 pm”,“departureTime”:“08:51 pm”}]},{“vehicle_number”:“KL 41 A 1251”,“trip”:12,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“09:03 pm”,“departureTime”:“09:03 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“09:10 pm”,“departureTime”:“09:10 pm”},{“station”:“CHOTTANIKKARA JN”,“arrivalTime”:“10:00 pm”,“departureTime”:“10:00 pm”}]}]
|
fbc9662ba22ad25bf8a04c8076b7a23a
|
{
"intermediate": 0.3044421076774597,
"beginner": 0.46553775668144226,
"expert": 0.2300201952457428
}
|
36,675
|
display schedules like a table, not a table, first only display the destination departure departure station departure time and destination station arrival time and vehicle number. when clicked on expand show routes
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8” />
<meta name=“viewport” content=“width=device-width, initial-scale=1.0” />
<title>Bus Schedule and Timeline</title>
<link
rel=“stylesheet”
href=“https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css”
/>
<style>
body {
font-family: “Roboto”, sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: “”;
position: absolute;
top: 50%;
bottom: -60%;
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: “”;
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
.green-bg {
background-color: #10b981;
}
.green-border {
border-color: #10b981;
}
.green-line {
border-left-color: #10b981;
}
</style>
</head>
<body>
<div class=“container mx-auto px-4”>
<h1 class=“text-3xl font-bold text-center my-4”>Bus Schedule</h1>
<div class=“grid grid-cols-2 gap-4”>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“departure”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Departure</label
>
<input
type=“text”
id=“departure”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
placeholder=“Enter departure”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“destination”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Destination</label
>
<input
type=“text”
id=“destination”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
placeholder=“Enter destination”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“time”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Time</label
>
<input
type=“time”
id=“time”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<button
type=“submit”
onclick=“submitForm()”
class=“bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg”
>
Submit
</button>
</div>
</div>
</div>
<div class=“bg-gray-100 font-roboto”>
<div class=“max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2”>
<div class=“mt-8” id=“scheduleContainer”>
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById(“departure”).value;
const destination = document.getElementById(“destination”).value;
// const time = document.getElementById(‘time’).value;
const time = “12:24”;
// Make API request
const apiUrl = https://busapi.amithv.xyz/api/v1/schedules?departure={encodeURIComponent(<br/> departure<br/> )}&destination={encodeURIComponent(destination)};
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData,departure,destination);
} catch (error) {
console.error(“Error fetching data:”, error);
}
}
function updateSchedule(scheduleData,departure,destination) {
departure = departure.toUpperCase();
destination = destination.toUpperCase();
const scheduleContainer = document.getElementById(“scheduleContainer”);
scheduleContainer.innerHTML = “”; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement(“div”);
vehicleDiv.textContent = Vehicle Number: {trip.vehicle_number}, Trip:{trip.trip};
scheduleContainer.appendChild(vehicleDiv);
let hasDeparted = false;
let hasArrived = false;
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement(“div”);
stationDiv.classList.add(“station”);
if (station.station.toUpperCase().startsWith(departure)) {
hasDeparted = true;
}
let arrivalTimeDiv = document.createElement(“div”);
arrivalTimeDiv.classList.add(“station-time”);
if (hasDeparted && !hasArrived) {
arrivalTimeDiv.classList.add(“green-bg”);
}
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
let timeWrapperDiv = document.createElement(“div”);
timeWrapperDiv.classList.add(“time-wrapper”);
let hoiDiv = document.createElement(“div”);
hoiDiv.classList.add(“hoi”);
if (hasDeparted && !hasArrived) {
hoiDiv.classList.add(“green-border”);
}
timeWrapperDiv.appendChild(hoiDiv);
if (stationIndex !== trip.stations.length - 1 && !hasArrived) {
let timelineDiv = document.createElement(“div”);
timelineDiv.classList.add(“timeline”);
if (
hasDeparted &&
!hasArrived &&
!station.station.toUpperCase().startsWith(destination)
) {
timelineDiv.classList.add(“green-line”);
}
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement(“div”);
stationNameDiv.classList.add(“station-name”);
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement(“div”);
departureTimeDiv.classList.add(“station-time”);
if (hasDeparted && !hasArrived) {
departureTimeDiv.classList.add(“green-bg”);
}
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
if (station.station.toUpperCase().startsWith(destination)) {
hasArrived = true;
}
});
});
}
</script>
</body>
</html>
this is the sample API response
[{“vehicle_number”:“KL 39 P 5666”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:18 pm”,“departureTime”:“08:18 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:25 pm”,“departureTime”:“08:25 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:25 pm”,“departureTime”:“09:25 pm”}]},{“vehicle_number”:“KL 17 B 5276”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:19 pm”,“departureTime”:“08:19 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:26 pm”,“departureTime”:“08:26 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:26 pm”,“departureTime”:“09:26 pm”}]},{“vehicle_number”:“KL 13 N 1929”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:21 pm”,“departureTime”:“08:21 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:31 pm”,“departureTime”:“08:31 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:31 pm”,“departureTime”:“09:31 pm”}]},{“vehicle_number”:“KL 08 AP 4141”,“trip”:15,“stations”:[{“station”:“KAKKANAD”,“arrivalTime”:“08:08 pm”,“departureTime”:“08:08 pm”},{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:36 pm”,“departureTime”:“08:43 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:51 pm”,“departureTime”:“08:51 pm”}]},{“vehicle_number”:“KL 41 A 1251”,“trip”:12,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“09:03 pm”,“departureTime”:“09:03 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“09:10 pm”,“departureTime”:“09:10 pm”},{“station”:“CHOTTANIKKARA JN”,“arrivalTime”:“10:00 pm”,“departureTime”:“10:00 pm”}]}]
|
2c5a0202552c8f3eca543ba8f7224732
|
{
"intermediate": 0.3044421076774597,
"beginner": 0.46553775668144226,
"expert": 0.2300201952457428
}
|
36,676
|
how do o I install python packages for use w ith pydroid?
|
f5b9cf4c148cfaef5337a49b0509a388
|
{
"intermediate": 0.5656337738037109,
"beginner": 0.11717049032449722,
"expert": 0.3171958029270172
}
|
36,677
|
edit this code so that each trip is collapsable
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8” />
<meta name=“viewport” content=“width=device-width, initial-scale=1.0” />
<title>Bus Schedule and Timeline</title>
<link
rel=“stylesheet”
href=“https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css”
/>
<style>
body {
font-family: “Roboto”, sans-serif;
}
.station {
position: relative;
margin: 10px 0px;
display: flex;
flex-direction: row;
align-items: center;
}
.timeline {
content: “”;
position: absolute;
top: 50%;
bottom: -60%;
border-left: 4px solid #4c51bf;
z-index: 1;
}
.station:last-child .timeline {
border-left: none;
}
.hoi {
content: “”;
position: relative;
width: 16px;
height: 16px;
left: 2px;
background-color: #fff;
border: 4px solid #4c51bf;
border-radius: 50%;
transform: translateX(-50%);
z-index: 2;
}
.time-wrapper {
display: flex;
flex-direction: row;
align-items: center;
justify-content: space-between;
z-index: 3;
width: 20px;
}
.station-time {
padding: 5px 10px;
background-color: #4c51bf;
color: #fff;
border-radius: 12px;
white-space: nowrap;
z-index: 3;
margin-right: 20px;
}
.station-name {
flex-grow: 1;
margin-left: 20px;
margin-right: 20px;
z-index: 3;
}
.header-row {
display: flex;
justify-content: space-between;
padding: 10px;
font-weight: bold;
}
.green-bg {
background-color: #10b981;
}
.green-border {
border-color: #10b981;
}
.green-line {
border-left-color: #10b981;
}
</style>
</head>
<body>
<div class=“container mx-auto px-4”>
<h1 class=“text-3xl font-bold text-center my-4”>Bus Schedule</h1>
<div class=“grid grid-cols-2 gap-4”>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“departure”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Departure</label
>
<input
type=“text”
id=“departure”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
placeholder=“Enter departure”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“destination”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Destination</label
>
<input
type=“text”
id=“destination”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
placeholder=“Enter destination”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<label
for=“time”
class=“block mb-2 text-sm font-medium text-gray-900 dark:text-gray-300”
>Time</label
>
<input
type=“time”
id=“time”
class=“bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white”
/>
</div>
<div class=“bg-gray-100 p-4 rounded-md”>
<button
type=“submit”
onclick=“submitForm()”
class=“bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded-lg”
>
Submit
</button>
</div>
</div>
</div>
<div class=“bg-gray-100 font-roboto”>
<div class=“max-w-xl mx-auto py-12 px-4 sm:px-6 lg:px-2”>
<div class=“mt-8” id=“scheduleContainer”>
<!-- Schedule will be dynamically populated here -->
</div>
</div>
</div>
<script>
async function submitForm() {
const departure = document.getElementById(“departure”).value;
const destination = document.getElementById(“destination”).value;
// const time = document.getElementById(‘time’).value;
const time = “12:24”;
// Make API request
const apiUrl = https://busapi.amithv.xyz/api/v1/schedules?departure={encodeURIComponent(<br/> departure<br/> )}&destination={encodeURIComponent(destination)};
try {
const response = await fetch(apiUrl);
const scheduleData = await response.json();
// Process the schedule data and update the scheduleContainer
updateSchedule(scheduleData,departure,destination);
} catch (error) {
console.error(“Error fetching data:”, error);
}
}
function updateSchedule(scheduleData,departure,destination) {
departure = departure.toUpperCase();
destination = destination.toUpperCase();
const scheduleContainer = document.getElementById(“scheduleContainer”);
scheduleContainer.innerHTML = “”; // Clear previous schedule
scheduleData.forEach((trip, index, array) => {
let vehicleDiv = document.createElement(“div”);
vehicleDiv.textContent = Vehicle Number: {trip.vehicle_number}, Trip:{trip.trip};
scheduleContainer.appendChild(vehicleDiv);
let hasDeparted = false;
let hasArrived = false;
trip.stations.forEach((station, stationIndex) => {
let stationDiv = document.createElement(“div”);
stationDiv.classList.add(“station”);
if (station.station.toUpperCase().startsWith(departure)) {
hasDeparted = true;
}
let arrivalTimeDiv = document.createElement(“div”);
arrivalTimeDiv.classList.add(“station-time”);
if (hasDeparted && !hasArrived) {
arrivalTimeDiv.classList.add(“green-bg”);
}
arrivalTimeDiv.textContent = station.arrivalTime;
stationDiv.appendChild(arrivalTimeDiv);
let timeWrapperDiv = document.createElement(“div”);
timeWrapperDiv.classList.add(“time-wrapper”);
let hoiDiv = document.createElement(“div”);
hoiDiv.classList.add(“hoi”);
if (hasDeparted && !hasArrived) {
hoiDiv.classList.add(“green-border”);
}
timeWrapperDiv.appendChild(hoiDiv);
if (stationIndex !== trip.stations.length - 1 && !hasArrived) {
let timelineDiv = document.createElement(“div”);
timelineDiv.classList.add(“timeline”);
if (
hasDeparted &&
!hasArrived &&
!station.station.toUpperCase().startsWith(destination)
) {
timelineDiv.classList.add(“green-line”);
}
timeWrapperDiv.appendChild(timelineDiv);
}
stationDiv.appendChild(timeWrapperDiv);
let stationNameDiv = document.createElement(“div”);
stationNameDiv.classList.add(“station-name”);
stationNameDiv.textContent = station.station;
stationDiv.appendChild(stationNameDiv);
let departureTimeDiv = document.createElement(“div”);
departureTimeDiv.classList.add(“station-time”);
if (hasDeparted && !hasArrived) {
departureTimeDiv.classList.add(“green-bg”);
}
departureTimeDiv.textContent = station.departureTime;
stationDiv.appendChild(departureTimeDiv);
scheduleContainer.appendChild(stationDiv);
if (station.station.toUpperCase().startsWith(destination)) {
hasArrived = true;
}
});
});
}
</script>
</body>
</html>
this is the sample API response
[{“vehicle_number”:“KL 39 P 5666”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:18 pm”,“departureTime”:“08:18 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:25 pm”,“departureTime”:“08:25 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:25 pm”,“departureTime”:“09:25 pm”}]},{“vehicle_number”:“KL 17 B 5276”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:19 pm”,“departureTime”:“08:19 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:26 pm”,“departureTime”:“08:26 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:26 pm”,“departureTime”:“09:26 pm”}]},{“vehicle_number”:“KL 13 N 1929”,“trip”:10,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:21 pm”,“departureTime”:“08:21 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:31 pm”,“departureTime”:“08:31 pm”},{“station”:“POOTHOTTA”,“arrivalTime”:“09:31 pm”,“departureTime”:“09:31 pm”}]},{“vehicle_number”:“KL 08 AP 4141”,“trip”:15,“stations”:[{“station”:“KAKKANAD”,“arrivalTime”:“08:08 pm”,“departureTime”:“08:08 pm”},{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“08:36 pm”,“departureTime”:“08:43 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“08:51 pm”,“departureTime”:“08:51 pm”}]},{“vehicle_number”:“KL 41 A 1251”,“trip”:12,“stations”:[{“station”:“HIGH COURT JUNCTION”,“arrivalTime”:“09:03 pm”,“departureTime”:“09:03 pm”},{“station”:“ERNAKULAM SOUTH”,“arrivalTime”:“09:10 pm”,“departureTime”:“09:10 pm”},{“station”:“CHOTTANIKKARA JN”,“arrivalTime”:“10:00 pm”,“departureTime”:“10:00 pm”}]}]
|
32b243868e87a4ca6f6d185416a0924f
|
{
"intermediate": 0.3218645453453064,
"beginner": 0.388761043548584,
"expert": 0.2893744111061096
}
|
36,678
|
am on this competion Superform CTF
Hack Superform, keep the money.
Add your wallet address to your profile (Profile -> Edit Profile -> CTF Addresses).
The contracts are live, you can (legally) hack it onchain.
Use cantina code interface to submit a writeup about the exploit, with a link to etherscan / equivalent.
There is no judging. No severity disputes. No PoC. Just hacking!
Planting The Flags
Starting December 28th, the Superform Protocol will be deployed on Avalanche, BNB Chain, and Polygon. Deposits will be made into 3 vaults on each chain for a total of 9 vaults. Deposits will be made into 3 vaults daily in tranches of $2.5k at 15:00 UTC until all deposits have been made.
The goal is to steal the ERC4626 shares held in Superform Protocol’s Superform contracts and tokens in transit from chain to chain. If stolen, the security researcher can keep the bounty in the vault. Users may do this via any protocol action — creating new Superforms, depositing/withdrawing from the protocol into vaults themselves via our contracts, etc.
|
03f67a539c752049585e407eb54b7672
|
{
"intermediate": 0.3804013133049011,
"beginner": 0.384673148393631,
"expert": 0.2349255234003067
}
|
36,679
|
review this contract to find issue and vulnerability // SPDX-License-Identifier: UNLICENSED
pragma solidity 0.8.17;
import "@openzeppelin/contracts/token/ERC20/IERC20.sol";
import "@openzeppelin/contracts/token/ERC20/utils/SafeERC20.sol";
import "contracts/interfaces/IEUROs.sol";
import "contracts/interfaces/IPriceCalculator.sol";
import "contracts/interfaces/ISmartVault.sol";
import "contracts/interfaces/ISmartVaultManagerV3.sol";
import "contracts/interfaces/ISwapRouter.sol";
import "contracts/interfaces/ITokenManager.sol";
import "contracts/interfaces/IWETH.sol";
contract SmartVaultV3 is ISmartVault {
using SafeERC20 for IERC20;
string private constant INVALID_USER = "err-invalid-user";
string private constant UNDER_COLL = "err-under-coll";
uint8 private constant version = 2;
bytes32 private constant vaultType = bytes32("EUROs");
bytes32 private immutable NATIVE;
address public immutable manager;
IEUROs public immutable EUROs;
IPriceCalculator public immutable calculator;
address public owner;
uint256 private minted;
bool private liquidated;
event CollateralRemoved(bytes32 symbol, uint256 amount, address to);
event AssetRemoved(address token, uint256 amount, address to);
event EUROsMinted(address to, uint256 amount, uint256 fee);
event EUROsBurned(uint256 amount, uint256 fee);
constructor(bytes32 _native, address _manager, address _owner, address _euros, address _priceCalculator) {
NATIVE = _native;
owner = _owner;
manager = _manager;
EUROs = IEUROs(_euros);
calculator = IPriceCalculator(_priceCalculator);
}
modifier onlyVaultManager {
require(msg.sender == manager, INVALID_USER);
_;
}
modifier onlyOwner {
require(msg.sender == owner, INVALID_USER);
_;
}
modifier ifMinted(uint256 _amount) {
require(minted >= _amount, "err-insuff-minted");
_;
}
modifier ifNotLiquidated {
require(!liquidated, "err-liquidated");
_;
}
function getTokenManager() private view returns (ITokenManager) {
return ITokenManager(ISmartVaultManagerV3(manager).tokenManager());
}
function euroCollateral() private view returns (uint256 euros) {
ITokenManager.Token[] memory acceptedTokens = getTokenManager().getAcceptedTokens();
for (uint256 i = 0; i < acceptedTokens.length; i++) {
ITokenManager.Token memory token = acceptedTokens[i];
euros += calculator.tokenToEurAvg(token, getAssetBalance(token.symbol, token.addr));
}
}
function maxMintable() private view returns (uint256) {
return euroCollateral() * ISmartVaultManagerV3(manager).HUNDRED_PC() / ISmartVaultManagerV3(manager).collateralRate();
}
function getAssetBalance(bytes32 _symbol, address _tokenAddress) private view returns (uint256 amount) {
return _symbol == NATIVE ? address(this).balance : IERC20(_tokenAddress).balanceOf(address(this));
}
function getAssets() private view returns (Asset[] memory) {
ITokenManager.Token[] memory acceptedTokens = getTokenManager().getAcceptedTokens();
Asset[] memory assets = new Asset[](acceptedTokens.length);
for (uint256 i = 0; i < acceptedTokens.length; i++) {
ITokenManager.Token memory token = acceptedTokens[i];
uint256 assetBalance = getAssetBalance(token.symbol, token.addr);
assets[i] = Asset(token, assetBalance, calculator.tokenToEurAvg(token, assetBalance));
}
return assets;
}
function status() external view returns (Status memory) {
return Status(address(this), minted, maxMintable(), euroCollateral(),
getAssets(), liquidated, version, vaultType);
}
function undercollateralised() public view returns (bool) {
return minted > maxMintable();
}
function liquidateNative() private {
if (address(this).balance != 0) {
(bool sent,) = payable(ISmartVaultManagerV3(manager).protocol()).call{value: address(this).balance}("");
require(sent, "err-native-liquidate");
}
}
function liquidateERC20(IERC20 _token) private {
if (_token.balanceOf(address(this)) != 0) _token.safeTransfer(ISmartVaultManagerV3(manager).protocol(), _token.balanceOf(address(this)));
}
function liquidate() external onlyVaultManager {
require(undercollateralised(), "err-not-liquidatable");
liquidated = true;
minted = 0;
liquidateNative();
ITokenManager.Token[] memory tokens = getTokenManager().getAcceptedTokens();
for (uint256 i = 0; i < tokens.length; i++) {
if (tokens[i].symbol != NATIVE) liquidateERC20(IERC20(tokens[i].addr));
}
}
receive() external payable {}
function canRemoveCollateral(ITokenManager.Token memory _token, uint256 _amount) private view returns (bool) {
if (minted == 0) return true;
uint256 currentMintable = maxMintable();
uint256 eurValueToRemove = calculator.tokenToEurAvg(_token, _amount);
return currentMintable >= eurValueToRemove &&
minted <= currentMintable - eurValueToRemove;
}
function removeCollateralNative(uint256 _amount, address payable _to) external onlyOwner {
require(canRemoveCollateral(getTokenManager().getToken(NATIVE), _amount), UNDER_COLL);
(bool sent,) = _to.call{value: _amount}("");
require(sent, "err-native-call");
emit CollateralRemoved(NATIVE, _amount, _to);
}
function removeCollateral(bytes32 _symbol, uint256 _amount, address _to) external onlyOwner {
ITokenManager.Token memory token = getTokenManager().getToken(_symbol);
require(canRemoveCollateral(token, _amount), UNDER_COLL);
IERC20(token.addr).safeTransfer(_to, _amount);
emit CollateralRemoved(_symbol, _amount, _to);
}
function removeAsset(address _tokenAddr, uint256 _amount, address _to) external onlyOwner {
ITokenManager.Token memory token = getTokenManager().getTokenIfExists(_tokenAddr);
if (token.addr == _tokenAddr) require(canRemoveCollateral(token, _amount), UNDER_COLL);
IERC20(_tokenAddr).safeTransfer(_to, _amount);
emit AssetRemoved(_tokenAddr, _amount, _to);
}
function fullyCollateralised(uint256 _amount) private view returns (bool) {
return minted + _amount <= maxMintable();
}
function mint(address _to, uint256 _amount) external onlyOwner ifNotLiquidated {
uint256 fee = _amount * ISmartVaultManagerV3(manager).mintFeeRate() / ISmartVaultManagerV3(manager).HUNDRED_PC();
require(fullyCollateralised(_amount + fee), UNDER_COLL);
minted = minted + _amount + fee;
EUROs.mint(_to, _amount);
EUROs.mint(ISmartVaultManagerV3(manager).protocol(), fee);
emit EUROsMinted(_to, _amount, fee);
}
function burn(uint256 _amount) external ifMinted(_amount) {
uint256 fee = _amount * ISmartVaultManagerV3(manager).burnFeeRate() / ISmartVaultManagerV3(manager).HUNDRED_PC();
minted = minted - _amount;
EUROs.burn(msg.sender, _amount);
IERC20(address(EUROs)).safeTransferFrom(msg.sender, ISmartVaultManagerV3(manager).protocol(), fee);
emit EUROsBurned(_amount, fee);
}
function getToken(bytes32 _symbol) private view returns (ITokenManager.Token memory _token) {
ITokenManager.Token[] memory tokens = getTokenManager().getAcceptedTokens();
for (uint256 i = 0; i < tokens.length; i++) {
if (tokens[i].symbol == _symbol) _token = tokens[i];
}
require(_token.symbol != bytes32(0), "err-invalid-swap");
}
function getSwapAddressFor(bytes32 _symbol) private view returns (address) {
ITokenManager.Token memory _token = getToken(_symbol);
return _token.addr == address(0) ? ISmartVaultManagerV3(manager).weth() : _token.addr;
}
function executeNativeSwapAndFee(ISwapRouter.ExactInputSingleParams memory _params, uint256 _swapFee) private {
(bool sent,) = payable(ISmartVaultManagerV3(manager).protocol()).call{value: _swapFee}("");
require(sent, "err-swap-fee-native");
ISwapRouter(ISmartVaultManagerV3(manager).swapRouter2()).exactInputSingle{value: _params.amountIn}(_params);
}
function executeERC20SwapAndFee(ISwapRouter.ExactInputSingleParams memory _params, uint256 _swapFee) private {
IERC20(_params.tokenIn).safeTransfer(ISmartVaultManagerV3(manager).protocol(), _swapFee);
IERC20(_params.tokenIn).safeApprove(ISmartVaultManagerV3(manager).swapRouter2(), _params.amountIn);
ISwapRouter(ISmartVaultManagerV3(manager).swapRouter2()).exactInputSingle(_params);
IWETH weth = IWETH(ISmartVaultManagerV3(manager).weth());
// convert potentially received weth to eth
uint256 wethBalance = weth.balanceOf(address(this));
if (wethBalance > 0) weth.withdraw(wethBalance);
}
function calculateMinimumAmountOut(bytes32 _inTokenSymbol, bytes32 _outTokenSymbol, uint256 _amount) private view returns (uint256) {
ISmartVaultManagerV3 _manager = ISmartVaultManagerV3(manager);
uint256 requiredCollateralValue = minted * _manager.collateralRate() / _manager.HUNDRED_PC();
uint256 collateralValueMinusSwapValue = euroCollateral() - calculator.tokenToEur(getToken(_inTokenSymbol), _amount);
return collateralValueMinusSwapValue >= requiredCollateralValue ?
0 : calculator.eurToToken(getToken(_outTokenSymbol), requiredCollateralValue - collateralValueMinusSwapValue);
}
function swap(bytes32 _inToken, bytes32 _outToken, uint256 _amount) external onlyOwner {
uint256 swapFee = _amount * ISmartVaultManagerV3(manager).swapFeeRate() / ISmartVaultManagerV3(manager).HUNDRED_PC();
address inToken = getSwapAddressFor(_inToken);
uint256 minimumAmountOut = calculateMinimumAmountOut(_inToken, _outToken, _amount);
ISwapRouter.ExactInputSingleParams memory params = ISwapRouter.ExactInputSingleParams({
tokenIn: inToken,
tokenOut: getSwapAddressFor(_outToken),
fee: 3000,
recipient: address(this),
deadline: block.timestamp,
amountIn: _amount - swapFee,
amountOutMinimum: minimumAmountOut,
sqrtPriceLimitX96: 0
});
inToken == ISmartVaultManagerV3(manager).weth() ?
executeNativeSwapAndFee(params, swapFee) :
executeERC20SwapAndFee(params, swapFee);
}
function setOwner(address _newOwner) external onlyVaultManager {
owner = _newOwner;
}
}review this contract to find issue and vulnerability // SPDX-License-Identifier: UNLICENSED
pragma solidity 0.8.17;
import "@openzeppelin/contracts/token/ERC20/IERC20.sol";
import "@openzeppelin/contracts/token/ERC20/utils/SafeERC20.sol";
import "contracts/interfaces/IEUROs.sol";
import "contracts/interfaces/IPriceCalculator.sol";
import "contracts/interfaces/ISmartVault.sol";
import "contracts/interfaces/ISmartVaultManagerV3.sol";
import "contracts/interfaces/ISwapRouter.sol";
import "contracts/interfaces/ITokenManager.sol";
import "contracts/interfaces/IWETH.sol";
contract SmartVaultV3 is ISmartVault {
using SafeERC20 for IERC20;
string private constant INVALID_USER = "err-invalid-user";
string private constant UNDER_COLL = "err-under-coll";
uint8 private constant version = 2;
bytes32 private constant vaultType = bytes32("EUROs");
bytes32 private immutable NATIVE;
address public immutable manager;
IEUROs public immutable EUROs;
IPriceCalculator public immutable calculator;
address public owner;
uint256 private minted;
bool private liquidated;
event CollateralRemoved(bytes32 symbol, uint256 amount, address to);
event AssetRemoved(address token, uint256 amount, address to);
event EUROsMinted(address to, uint256 amount, uint256 fee);
event EUROsBurned(uint256 amount, uint256 fee);
constructor(bytes32 _native, address _manager, address _owner, address _euros, address _priceCalculator) {
NATIVE = _native;
owner = _owner;
manager = _manager;
EUROs = IEUROs(_euros);
calculator = IPriceCalculator(_priceCalculator);
}
modifier onlyVaultManager {
require(msg.sender == manager, INVALID_USER);
_;
}
modifier onlyOwner {
require(msg.sender == owner, INVALID_USER);
_;
}
modifier ifMinted(uint256 _amount) {
require(minted >= _amount, "err-insuff-minted");
_;
}
modifier ifNotLiquidated {
require(!liquidated, "err-liquidated");
_;
}
function getTokenManager() private view returns (ITokenManager) {
return ITokenManager(ISmartVaultManagerV3(manager).tokenManager());
}
function euroCollateral() private view returns (uint256 euros) {
ITokenManager.Token[] memory acceptedTokens = getTokenManager().getAcceptedTokens();
for (uint256 i = 0; i < acceptedTokens.length; i++) {
ITokenManager.Token memory token = acceptedTokens[i];
euros += calculator.tokenToEurAvg(token, getAssetBalance(token.symbol, token.addr));
}
}
function maxMintable() private view returns (uint256) {
return euroCollateral() * ISmartVaultManagerV3(manager).HUNDRED_PC() / ISmartVaultManagerV3(manager).collateralRate();
}
function getAssetBalance(bytes32 _symbol, address _tokenAddress) private view returns (uint256 amount) {
return _symbol == NATIVE ? address(this).balance : IERC20(_tokenAddress).balanceOf(address(this));
}
function getAssets() private view returns (Asset[] memory) {
ITokenManager.Token[] memory acceptedTokens = getTokenManager().getAcceptedTokens();
Asset[] memory assets = new Asset[](acceptedTokens.length);
for (uint256 i = 0; i < acceptedTokens.length; i++) {
ITokenManager.Token memory token = acceptedTokens[i];
uint256 assetBalance = getAssetBalance(token.symbol, token.addr);
assets[i] = Asset(token, assetBalance, calculator.tokenToEurAvg(token, assetBalance));
}
return assets;
}
function status() external view returns (Status memory) {
return Status(address(this), minted, maxMintable(), euroCollateral(),
getAssets(), liquidated, version, vaultType);
}
function undercollateralised() public view returns (bool) {
return minted > maxMintable();
}
function liquidateNative() private {
if (address(this).balance != 0) {
(bool sent,) = payable(ISmartVaultManagerV3(manager).protocol()).call{value: address(this).balance}("");
require(sent, "err-native-liquidate");
}
}
function liquidateERC20(IERC20 _token) private {
if (_token.balanceOf(address(this)) != 0) _token.safeTransfer(ISmartVaultManagerV3(manager).protocol(), _token.balanceOf(address(this)));
}
function liquidate() external onlyVaultManager {
require(undercollateralised(), "err-not-liquidatable");
liquidated = true;
minted = 0;
liquidateNative();
ITokenManager.Token[] memory tokens = getTokenManager().getAcceptedTokens();
for (uint256 i = 0; i < tokens.length; i++) {
if (tokens[i].symbol != NATIVE) liquidateERC20(IERC20(tokens[i].addr));
}
}
receive() external payable {}
function canRemoveCollateral(ITokenManager.Token memory _token, uint256 _amount) private view returns (bool) {
if (minted == 0) return true;
uint256 currentMintable = maxMintable();
uint256 eurValueToRemove = calculator.tokenToEurAvg(_token, _amount);
return currentMintable >= eurValueToRemove &&
minted <= currentMintable - eurValueToRemove;
}
function removeCollateralNative(uint256 _amount, address payable _to) external onlyOwner {
require(canRemoveCollateral(getTokenManager().getToken(NATIVE), _amount), UNDER_COLL);
(bool sent,) = _to.call{value: _amount}("");
require(sent, "err-native-call");
emit CollateralRemoved(NATIVE, _amount, _to);
}
function removeCollateral(bytes32 _symbol, uint256 _amount, address _to) external onlyOwner {
ITokenManager.Token memory token = getTokenManager().getToken(_symbol);
require(canRemoveCollateral(token, _amount), UNDER_COLL);
IERC20(token.addr).safeTransfer(_to, _amount);
emit CollateralRemoved(_symbol, _amount, _to);
}
function removeAsset(address _tokenAddr, uint256 _amount, address _to) external onlyOwner {
ITokenManager.Token memory token = getTokenManager().getTokenIfExists(_tokenAddr);
if (token.addr == _tokenAddr) require(canRemoveCollateral(token, _amount), UNDER_COLL);
IERC20(_tokenAddr).safeTransfer(_to, _amount);
emit AssetRemoved(_tokenAddr, _amount, _to);
}
function fullyCollateralised(uint256 _amount) private view returns (bool) {
return minted + _amount <= maxMintable();
}
function mint(address _to, uint256 _amount) external onlyOwner ifNotLiquidated {
uint256 fee = _amount * ISmartVaultManagerV3(manager).mintFeeRate() / ISmartVaultManagerV3(manager).HUNDRED_PC();
require(fullyCollateralised(_amount + fee), UNDER_COLL);
minted = minted + _amount + fee;
EUROs.mint(_to, _amount);
EUROs.mint(ISmartVaultManagerV3(manager).protocol(), fee);
emit EUROsMinted(_to, _amount, fee);
}
function burn(uint256 _amount) external ifMinted(_amount) {
uint256 fee = _amount * ISmartVaultManagerV3(manager).burnFeeRate() / ISmartVaultManagerV3(manager).HUNDRED_PC();
minted = minted - _amount;
EUROs.burn(msg.sender, _amount);
IERC20(address(EUROs)).safeTransferFrom(msg.sender, ISmartVaultManagerV3(manager).protocol(), fee);
emit EUROsBurned(_amount, fee);
}
function getToken(bytes32 _symbol) private view returns (ITokenManager.Token memory _token) {
ITokenManager.Token[] memory tokens = getTokenManager().getAcceptedTokens();
for (uint256 i = 0; i < tokens.length; i++) {
if (tokens[i].symbol == _symbol) _token = tokens[i];
}
require(_token.symbol != bytes32(0), "err-invalid-swap");
}
function getSwapAddressFor(bytes32 _symbol) private view returns (address) {
ITokenManager.Token memory _token = getToken(_symbol);
return _token.addr == address(0) ? ISmartVaultManagerV3(manager).weth() : _token.addr;
}
function executeNativeSwapAndFee(ISwapRouter.ExactInputSingleParams memory _params, uint256 _swapFee) private {
(bool sent,) = payable(ISmartVaultManagerV3(manager).protocol()).call{value: _swapFee}("");
require(sent, "err-swap-fee-native");
ISwapRouter(ISmartVaultManagerV3(manager).swapRouter2()).exactInputSingle{value: _params.amountIn}(_params);
}
function executeERC20SwapAndFee(ISwapRouter.ExactInputSingleParams memory _params, uint256 _swapFee) private {
IERC20(_params.tokenIn).safeTransfer(ISmartVaultManagerV3(manager).protocol(), _swapFee);
IERC20(_params.tokenIn).safeApprove(ISmartVaultManagerV3(manager).swapRouter2(), _params.amountIn);
ISwapRouter(ISmartVaultManagerV3(manager).swapRouter2()).exactInputSingle(_params);
IWETH weth = IWETH(ISmartVaultManagerV3(manager).weth());
// convert potentially received weth to eth
uint256 wethBalance = weth.balanceOf(address(this));
if (wethBalance > 0) weth.withdraw(wethBalance);
}
function calculateMinimumAmountOut(bytes32 _inTokenSymbol, bytes32 _outTokenSymbol, uint256 _amount) private view returns (uint256) {
ISmartVaultManagerV3 _manager = ISmartVaultManagerV3(manager);
uint256 requiredCollateralValue = minted * _manager.collateralRate() / _manager.HUNDRED_PC();
uint256 collateralValueMinusSwapValue = euroCollateral() - calculator.tokenToEur(getToken(_inTokenSymbol), _amount);
return collateralValueMinusSwapValue >= requiredCollateralValue ?
0 : calculator.eurToToken(getToken(_outTokenSymbol), requiredCollateralValue - collateralValueMinusSwapValue);
}
function swap(bytes32 _inToken, bytes32 _outToken, uint256 _amount) external onlyOwner {
uint256 swapFee = _amount * ISmartVaultManagerV3(manager).swapFeeRate() / ISmartVaultManagerV3(manager).HUNDRED_PC();
address inToken = getSwapAddressFor(_inToken);
uint256 minimumAmountOut = calculateMinimumAmountOut(_inToken, _outToken, _amount);
ISwapRouter.ExactInputSingleParams memory params = ISwapRouter.ExactInputSingleParams({
tokenIn: inToken,
tokenOut: getSwapAddressFor(_outToken),
fee: 3000,
recipient: address(this),
deadline: block.timestamp,
amountIn: _amount - swapFee,
amountOutMinimum: minimumAmountOut,
sqrtPriceLimitX96: 0
});
inToken == ISmartVaultManagerV3(manager).weth() ?
executeNativeSwapAndFee(params, swapFee) :
executeERC20SwapAndFee(params, swapFee);
}
function setOwner(address _newOwner) external onlyVaultManager {
owner = _newOwner;
}
}
|
140596e24c06f90e9cef98044a17fdc2
|
{
"intermediate": 0.38354745507240295,
"beginner": 0.32398736476898193,
"expert": 0.29246512055397034
}
|
36,680
|
lets make some solar system simulalation by html,css,javascript. there should be some astrophysical data already known, on which we can construct simuli. no need to start. no need basic example
|
c47aeea152c0af52acd0854738ab8389
|
{
"intermediate": 0.42361027002334595,
"beginner": 0.3726470470428467,
"expert": 0.20374269783496857
}
|
36,681
|
lets make some solar system simulalation by html,css,javascript. there should be some astrophysical data already known, on which we can construct simuli. no need to start. no need basic example. no need basic simulation
|
596a377482bb59f6078996e630209deb
|
{
"intermediate": 0.3690683841705322,
"beginner": 0.38761988282203674,
"expert": 0.24331170320510864
}
|
36,682
|
lets make some solar system simulalation by html,css,javascript. there should be some astrophysical data already known, on which we can construct simuli. no need to start. no need basic example. no need basic simulation. no need basic HTML structure
|
9c4c0ea47a7ba9a9754d988c4c2f92d7
|
{
"intermediate": 0.4578854739665985,
"beginner": 0.32035642862319946,
"expert": 0.22175811231136322
}
|
36,683
|
lets make some solar system simulalation by html,css,javascript. there should be some astrophysical data already known, on which we can construct simuli. no need to start. no need basic example. no need basic simulation. no need basic HTML structure
|
90eb55c0fa9bcf93c443c398827306c3
|
{
"intermediate": 0.4578854739665985,
"beginner": 0.32035642862319946,
"expert": 0.22175811231136322
}
|
36,684
|
lets make some solar system simulalation by html,css,javascript. there should be some astrophysical data already known, on which we can construct simuli. now need to get local time and align all positions accordingly.
“you would need to gather current ephemeris data and compute each planet’s position in its elliptical orbit, which is beyond the scope of a simple Canvas simulation.”. why “beyond the scope of a simple Canvas simulation”? can you do relatively simple math model algorithm in all terms that will function as intended? output fully implemented functioning code.:
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Solar System Simulation with Labels</title>
<style>
canvas {
display: block;
background: black;
width: 100%;
height: 100vh;
margin: 0 auto;
}
</style>
</head>
<body>
<canvas id="canvas"></canvas>
<script>
const canvas = document.getElementById("canvas");
const ctx = canvas.getContext("2d");
canvas.width = window.innerWidth;
canvas.height = window.innerHeight;
// Scaled down values for distances and sizes for demonstration purposes
const planets = [
// Adjusted size and distance for visualization
{ name: 'Mercury', radius: 50, angle: 0, size: 1.5, color: 'darkgray' },
{ name: 'Venus', radius: 90, angle: 0, size: 2.5, color: 'yellow' },
{ name: 'Earth', radius: 120, angle: 0, size: 2.5, color: 'blue' },
{ name: 'Mars', radius: 140, angle: 0, size: 2, color: 'red' },
{ name: 'Jupiter', radius: 180, angle: 0, size: 10, color: 'orange' },
{ name: 'Saturn', radius: 250, angle: 0, size: 8, color: 'khaki' },
{ name: 'Uranus', radius: 330, angle: 0, size: 5, color: 'lightblue' },
{ name: 'Neptune', radius: 380, angle: 0, size: 5, color: 'darkblue' },
// The Sun, not to scale, for visibility
{ name: 'Sun', radius: 0, angle: 0, size: 20, color: 'yellow' }
];
const center = { x: canvas.width / 2, y: canvas.height / 2 };
let angleX = 0;
let angleY = 0;
let dragStart = null;
function rotate(point, angleX, angleY) {
let cosX = Math.cos(angleX);
let sinX = Math.sin(angleX);
let cosY = Math.cos(angleY);
let sinY = Math.sin(angleY);
let x1 = point.x;
let y1 = cosX * point.y - sinX * point.z;
let z1 = sinX * point.y + cosX * point.z;
return {
x: cosY * x1 - sinY * z1,
y: y1,
z: sinY * x1 + cosY * z1
};
}
function project(point) {
const zoom = 600;
const perspective = zoom / (zoom + point.z);
return {
x: point.x * perspective + center.x,
y: point.y * perspective + center.y
};
}
function drawOrbit(radius) {
ctx.beginPath();
let firstPoint = true;
for (let angle = 0; angle < Math.PI * 2; angle += 0.01) {
let point = rotate({ x: radius * Math.cos(angle), y: 0, z: radius * Math.sin(angle) }, angleX, angleY);
let projected = project(point);
if (firstPoint) {
ctx.moveTo(projected.x, projected.y);
firstPoint = false;
} else {
ctx.lineTo(projected.x, projected.y);
}
}
ctx.closePath();
ctx.strokeStyle = "rgba(255, 255, 255, 0.3)";
ctx.stroke();
}
function drawPlanet(planet) {
let point = rotate({ x: planet.radius * Math.cos(planet.angle), y: 0, z: planet.radius * Math.sin(planet.angle) }, angleX, angleY);
let projected = project(point);
ctx.beginPath();
ctx.arc(projected.x, projected.y, planet.size, 0, Math.PI * 2);
ctx.fillStyle = planet.color;
ctx.fill();
ctx.closePath();
// Draw the planet's name if it's the Sun or if the perspective scale is enough
if (planet.name === 'Sun' || perspectiveScale(point.z) > 0.1) {
ctx.fillStyle = 'white';
ctx.font = `bold ${Math.max(projected.scale * 15, 12)}px sans-serif`; //need to be converted in normal templateliteral without backticks
ctx.fillText(planet.name, projected.x + planet.size + 5, projected.y + 5);
}
}
function perspectiveScale(z) {
const zoom = 600;
return zoom / (zoom + z);
}
function draw() {
ctx.clearRect(0, 0, canvas.width, canvas.height);
// Draw the Sun
drawPlanet(planets[planets.length - 1]);
// Draw orbits and planet
for (let i = 0; i < planets.length - 1; i++) {
let planet = planets[i];
drawOrbit(planet.radius);
planet.angle += (Math.PI / 180) * (1 / planet.radius); // simplistic speed proportional to orbit size
drawPlanet(planet);
}
requestAnimationFrame(draw);
}
canvas.addEventListener('mousedown', (event) => {
dragStart = { x: event.clientX, y: event.clientY };
});
canvas.addEventListener('mousemove', (event) => {
if (dragStart) {
const dx = event.clientX - dragStart.x;
const dy = event.clientY - dragStart.y;
angleY += dx * 0.005;
angleX += dy * 0.005;
dragStart = { x: event.clientX, y: event.clientY };
}
});
canvas.addEventListener('mouseup', () => {
dragStart = null;
});
canvas.addEventListener('mouseleave', () => {
dragStart = null;
});
draw(); // Start the simulation
</script>
</body>
</html>
|
a2a5b6796b9807d96267ccabeb6520ed
|
{
"intermediate": 0.4008375406265259,
"beginner": 0.3023899495601654,
"expert": 0.29677245020866394
}
|
36,685
|
lets make some solar system simulalation by html,css,javascript. there should be some astrophysical data already known, on which we can construct simuli. now need to get local time and align all positions accordingly.
“you would need to gather current ephemeris data and compute each planet’s position in its elliptical orbit, which is beyond the scope of a simple Canvas simulation.”. why “beyond the scope of a simple Canvas simulation”? can you do relatively simple math model algorithm in all terms that will function as intended? output fully implemented functioning code.:
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Solar System Simulation with Labels</title>
<style>
canvas {
display: block;
background: black;
width: 100%;
height: 100vh;
margin: 0 auto;
}
</style>
</head>
<body>
<canvas id="canvas"></canvas>
<script>
const canvas = document.getElementById("canvas");
const ctx = canvas.getContext("2d");
canvas.width = window.innerWidth;
canvas.height = window.innerHeight;
// Scaled down values for distances and sizes for demonstration purposes
const planets = [
// Adjusted size and distance for visualization
{ name: 'Mercury', radius: 50, angle: 0, size: 1.5, color: 'darkgray' },
{ name: 'Venus', radius: 90, angle: 0, size: 2.5, color: 'yellow' },
{ name: 'Earth', radius: 120, angle: 0, size: 2.5, color: 'blue' },
{ name: 'Mars', radius: 140, angle: 0, size: 2, color: 'red' },
{ name: 'Jupiter', radius: 180, angle: 0, size: 10, color: 'orange' },
{ name: 'Saturn', radius: 250, angle: 0, size: 8, color: 'khaki' },
{ name: 'Uranus', radius: 330, angle: 0, size: 5, color: 'lightblue' },
{ name: 'Neptune', radius: 380, angle: 0, size: 5, color: 'darkblue' },
// The Sun, not to scale, for visibility
{ name: 'Sun', radius: 0, angle: 0, size: 20, color: 'yellow' }
];
const center = { x: canvas.width / 2, y: canvas.height / 2 };
let angleX = 0;
let angleY = 0;
let dragStart = null;
function rotate(point, angleX, angleY) {
let cosX = Math.cos(angleX);
let sinX = Math.sin(angleX);
let cosY = Math.cos(angleY);
let sinY = Math.sin(angleY);
let x1 = point.x;
let y1 = cosX * point.y - sinX * point.z;
let z1 = sinX * point.y + cosX * point.z;
return {
x: cosY * x1 - sinY * z1,
y: y1,
z: sinY * x1 + cosY * z1
};
}
function project(point) {
const zoom = 600;
const perspective = zoom / (zoom + point.z);
return {
x: point.x * perspective + center.x,
y: point.y * perspective + center.y
};
}
function drawOrbit(radius) {
ctx.beginPath();
let firstPoint = true;
for (let angle = 0; angle < Math.PI * 2; angle += 0.01) {
let point = rotate({ x: radius * Math.cos(angle), y: 0, z: radius * Math.sin(angle) }, angleX, angleY);
let projected = project(point);
if (firstPoint) {
ctx.moveTo(projected.x, projected.y);
firstPoint = false;
} else {
ctx.lineTo(projected.x, projected.y);
}
}
ctx.closePath();
ctx.strokeStyle = "rgba(255, 255, 255, 0.3)";
ctx.stroke();
}
function drawPlanet(planet) {
let point = rotate({ x: planet.radius * Math.cos(planet.angle), y: 0, z: planet.radius * Math.sin(planet.angle) }, angleX, angleY);
let projected = project(point);
ctx.beginPath();
ctx.arc(projected.x, projected.y, planet.size, 0, Math.PI * 2);
ctx.fillStyle = planet.color;
ctx.fill();
ctx.closePath();
// Draw the planet's name if it's the Sun or if the perspective scale is enough
if (planet.name === 'Sun' || perspectiveScale(point.z) > 0.1) {
ctx.fillStyle = 'white';
ctx.font = `bold ${Math.max(projected.scale * 15, 12)}px sans-serif`; //need to be converted in normal templateliteral without backticks
ctx.fillText(planet.name, projected.x + planet.size + 5, projected.y + 5);
}
}
function perspectiveScale(z) {
const zoom = 600;
return zoom / (zoom + z);
}
function draw() {
ctx.clearRect(0, 0, canvas.width, canvas.height);
// Draw the Sun
drawPlanet(planets[planets.length - 1]);
// Draw orbits and planet
for (let i = 0; i < planets.length - 1; i++) {
let planet = planets[i];
drawOrbit(planet.radius);
planet.angle += (Math.PI / 180) * (1 / planet.radius); // simplistic speed proportional to orbit size
drawPlanet(planet);
}
requestAnimationFrame(draw);
}
canvas.addEventListener('mousedown', (event) => {
dragStart = { x: event.clientX, y: event.clientY };
});
canvas.addEventListener('mousemove', (event) => {
if (dragStart) {
const dx = event.clientX - dragStart.x;
const dy = event.clientY - dragStart.y;
angleY += dx * 0.005;
angleX += dy * 0.005;
dragStart = { x: event.clientX, y: event.clientY };
}
});
canvas.addEventListener('mouseup', () => {
dragStart = null;
});
canvas.addEventListener('mouseleave', () => {
dragStart = null;
});
draw(); // Start the simulation
</script>
</body>
</html>
|
5a55a60e2ad394f512da477f60b122a2
|
{
"intermediate": 0.4008375406265259,
"beginner": 0.3023899495601654,
"expert": 0.29677245020866394
}
|
36,686
|
lets make some solar system simulalation by html,css,javascript. there should be some astrophysical data already known, on which we can construct simuli. now need to get local time and align all positions accordingly.
“you would need to gather current ephemeris data and compute each planet’s position in its elliptical orbit, which is beyond the scope of a simple Canvas simulation.”. why “beyond the scope of a simple Canvas simulation”? can you do relatively simple math model algorithm in all terms that will function as intended? output full code implemented. don't remove mouse drag-rotation control.:
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<title>Solar System Simulation with Labels</title>
<style>
canvas {
display: block;
background: black;
width: 100%;
height: 100vh;
margin: 0 auto;
}
</style>
</head>
<body>
<canvas id=“canvas”></canvas>
<script>
const canvas = document.getElementById(“canvas”);
const ctx = canvas.getContext(“2d”);
canvas.width = window.innerWidth;
canvas.height = window.innerHeight;
// Scaled down values for distances and sizes for demonstration purposes
const planets = [
// Adjusted size and distance for visualization
{ name: ‘Mercury’, radius: 50, angle: 0, size: 1.5, color: ‘darkgray’ },
{ name: ‘Venus’, radius: 90, angle: 0, size: 2.5, color: ‘yellow’ },
{ name: ‘Earth’, radius: 120, angle: 0, size: 2.5, color: ‘blue’ },
{ name: ‘Mars’, radius: 140, angle: 0, size: 2, color: ‘red’ },
{ name: ‘Jupiter’, radius: 180, angle: 0, size: 10, color: ‘orange’ },
{ name: ‘Saturn’, radius: 250, angle: 0, size: 8, color: ‘khaki’ },
{ name: ‘Uranus’, radius: 330, angle: 0, size: 5, color: ‘lightblue’ },
{ name: ‘Neptune’, radius: 380, angle: 0, size: 5, color: ‘darkblue’ },
// The Sun, not to scale, for visibility
{ name: ‘Sun’, radius: 0, angle: 0, size: 20, color: ‘yellow’ }
];
const center = { x: canvas.width / 2, y: canvas.height / 2 };
let angleX = 0;
let angleY = 0;
let dragStart = null;
function rotate(point, angleX, angleY) {
let cosX = Math.cos(angleX);
let sinX = Math.sin(angleX);
let cosY = Math.cos(angleY);
let sinY = Math.sin(angleY);
let x1 = point.x;
let y1 = cosX * point.y - sinX * point.z;
let z1 = sinX * point.y + cosX * point.z;
return {
x: cosY * x1 - sinY * z1,
y: y1,
z: sinY * x1 + cosY * z1
};
}
function project(point) {
const zoom = 600;
const perspective = zoom / (zoom + point.z);
return {
x: point.x * perspective + center.x,
y: point.y * perspective + center.y
};
}
function drawOrbit(radius) {
ctx.beginPath();
let firstPoint = true;
for (let angle = 0; angle < Math.PI * 2; angle += 0.01) {
let point = rotate({ x: radius * Math.cos(angle), y: 0, z: radius * Math.sin(angle) }, angleX, angleY);
let projected = project(point);
if (firstPoint) {
ctx.moveTo(projected.x, projected.y);
firstPoint = false;
} else {
ctx.lineTo(projected.x, projected.y);
}
}
ctx.closePath();
ctx.strokeStyle = “rgba(255, 255, 255, 0.3)”;
ctx.stroke();
}
function drawPlanet(planet) {
let point = rotate({ x: planet.radius * Math.cos(planet.angle), y: 0, z: planet.radius * Math.sin(planet.angle) }, angleX, angleY);
let projected = project(point);
ctx.beginPath();
ctx.arc(projected.x, projected.y, planet.size, 0, Math.PI * 2);
ctx.fillStyle = planet.color;
ctx.fill();
ctx.closePath();
// Draw the planet’s name if it’s the Sun or if the perspective scale is enough
if (planet.name === ‘Sun’ || perspectiveScale(point.z) > 0.1) {
ctx.fillStyle = ‘white’;
ctx.font = bold ${Math.max(projected.scale * 15, 12)}px sans-serif; //need to be converted in normal templateliteral without backticks
ctx.fillText(planet.name, projected.x + planet.size + 5, projected.y + 5);
}
}
function perspectiveScale(z) {
const zoom = 600;
return zoom / (zoom + z);
}
function draw() {
ctx.clearRect(0, 0, canvas.width, canvas.height);
// Draw the Sun
drawPlanet(planets[planets.length - 1]);
// Draw orbits and planet
for (let i = 0; i < planets.length - 1; i++) {
let planet = planets[i];
drawOrbit(planet.radius);
planet.angle += (Math.PI / 180) * (1 / planet.radius); // simplistic speed proportional to orbit size
drawPlanet(planet);
}
requestAnimationFrame(draw);
}
canvas.addEventListener(‘mousedown’, (event) => {
dragStart = { x: event.clientX, y: event.clientY };
});
canvas.addEventListener(‘mousemove’, (event) => {
if (dragStart) {
const dx = event.clientX - dragStart.x;
const dy = event.clientY - dragStart.y;
angleY += dx * 0.005;
angleX += dy * 0.005;
dragStart = { x: event.clientX, y: event.clientY };
}
});
canvas.addEventListener(‘mouseup’, () => {
dragStart = null;
});
canvas.addEventListener(‘mouseleave’, () => {
dragStart = null;
});
draw(); // Start the simulation
</script>
</body>
</html>
|
5356042d02bfc2bb6eada572e2dc2eb1
|
{
"intermediate": 0.37899476289749146,
"beginner": 0.4076297879219055,
"expert": 0.21337543427944183
}
|
36,687
|
lets make some solar system simulalation by html,css,javascript. there should be some astrophysical data already known, on which we can construct simuli. now need to get local time and align all positions accordingly.
“you would need to gather current ephemeris data and compute each planet’s position in its elliptical orbit, which is beyond the scope of a simple Canvas simulation.”. why “beyond the scope of a simple Canvas simulation”? can you do relatively simple math model algorithm in all terms that will function as intended? output full code implemented. don’t remove mouse drag-rotation control.:
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<title>Solar System Simulation with Labels</title>
<style>
canvas {
display: block;
background: black;
width: 100%;
height: 100vh;
margin: 0 auto;
}
</style>
</head>
<body>
<canvas id=“canvas”></canvas>
<script>
const canvas = document.getElementById(“canvas”);
const ctx = canvas.getContext(“2d”);
canvas.width = window.innerWidth;
canvas.height = window.innerHeight;
// Scaled down values for distances and sizes for demonstration purposes
const planets = [
// Adjusted size and distance for visualization
{ name: ‘Mercury’, radius: 50, angle: 0, size: 1.5, color: ‘darkgray’ },
{ name: ‘Venus’, radius: 90, angle: 0, size: 2.5, color: ‘yellow’ },
{ name: ‘Earth’, radius: 120, angle: 0, size: 2.5, color: ‘blue’ },
{ name: ‘Mars’, radius: 140, angle: 0, size: 2, color: ‘red’ },
{ name: ‘Jupiter’, radius: 180, angle: 0, size: 10, color: ‘orange’ },
{ name: ‘Saturn’, radius: 250, angle: 0, size: 8, color: ‘khaki’ },
{ name: ‘Uranus’, radius: 330, angle: 0, size: 5, color: ‘lightblue’ },
{ name: ‘Neptune’, radius: 380, angle: 0, size: 5, color: ‘darkblue’ },
// The Sun, not to scale, for visibility
{ name: ‘Sun’, radius: 0, angle: 0, size: 20, color: ‘yellow’ }
];
const center = { x: canvas.width / 2, y: canvas.height / 2 };
let angleX = 0;
let angleY = 0;
let dragStart = null;
function rotate(point, angleX, angleY) {
let cosX = Math.cos(angleX);
let sinX = Math.sin(angleX);
let cosY = Math.cos(angleY);
let sinY = Math.sin(angleY);
let x1 = point.x;
let y1 = cosX * point.y - sinX * point.z;
let z1 = sinX * point.y + cosX * point.z;
return {
x: cosY * x1 - sinY * z1,
y: y1,
z: sinY * x1 + cosY * z1
};
}
function project(point) {
const zoom = 600;
const perspective = zoom / (zoom + point.z);
return {
x: point.x * perspective + center.x,
y: point.y * perspective + center.y
};
}
function drawOrbit(radius) {
ctx.beginPath();
let firstPoint = true;
for (let angle = 0; angle < Math.PI * 2; angle += 0.01) {
let point = rotate({ x: radius * Math.cos(angle), y: 0, z: radius * Math.sin(angle) }, angleX, angleY);
let projected = project(point);
if (firstPoint) {
ctx.moveTo(projected.x, projected.y);
firstPoint = false;
} else {
ctx.lineTo(projected.x, projected.y);
}
}
ctx.closePath();
ctx.strokeStyle = “rgba(255, 255, 255, 0.3)”;
ctx.stroke();
}
function drawPlanet(planet) {
let point = rotate({ x: planet.radius * Math.cos(planet.angle), y: 0, z: planet.radius * Math.sin(planet.angle) }, angleX, angleY);
let projected = project(point);
ctx.beginPath();
ctx.arc(projected.x, projected.y, planet.size, 0, Math.PI * 2);
ctx.fillStyle = planet.color;
ctx.fill();
ctx.closePath();
// Draw the planet’s name if it’s the Sun or if the perspective scale is enough
if (planet.name === ‘Sun’ || perspectiveScale(point.z) > 0.1) {
ctx.fillStyle = ‘white’;
ctx.font = bold ${Math.max(projected.scale * 15, 12)}px sans-serif; //need to be converted in normal templateliteral without backticks
ctx.fillText(planet.name, projected.x + planet.size + 5, projected.y + 5);
}
}
function perspectiveScale(z) {
const zoom = 600;
return zoom / (zoom + z);
}
function draw() {
ctx.clearRect(0, 0, canvas.width, canvas.height);
// Draw the Sun
drawPlanet(planets[planets.length - 1]);
// Draw orbits and planet
for (let i = 0; i < planets.length - 1; i++) {
let planet = planets[i];
drawOrbit(planet.radius);
planet.angle += (Math.PI / 180) * (1 / planet.radius); // simplistic speed proportional to orbit size
drawPlanet(planet);
}
requestAnimationFrame(draw);
}
canvas.addEventListener(‘mousedown’, (event) => {
dragStart = { x: event.clientX, y: event.clientY };
});
canvas.addEventListener(‘mousemove’, (event) => {
if (dragStart) {
const dx = event.clientX - dragStart.x;
const dy = event.clientY - dragStart.y;
angleY += dx * 0.005;
angleX += dy * 0.005;
dragStart = { x: event.clientX, y: event.clientY };
}
});
canvas.addEventListener(‘mouseup’, () => {
dragStart = null;
});
canvas.addEventListener(‘mouseleave’, () => {
dragStart = null;
});
draw(); // Start the simulation
</script>
</body>
</html>
|
9c6479476ba3ae8dd78791139cf4d48d
|
{
"intermediate": 0.3801552653312683,
"beginner": 0.3576757609844208,
"expert": 0.2621690034866333
}
|
36,688
|
i tried to install quantum espresso and abinit , all very hectic to use , which is sad , i wish it was more graphical , maybe you can guide me through or suggest something more straightforward , I just want to try out photocatalys doping simulations and see what works best
|
1f84b3357ec52e4035731ac3422e835b
|
{
"intermediate": 0.47070378065109253,
"beginner": 0.21868294477462769,
"expert": 0.3106131851673126
}
|
36,689
|
hi
|
55ef9abf6f7041b4b383180c44e7e53c
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
36,690
|
hi
|
84f5ea2e0a0e6189a741559af79269ed
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
36,692
|
WslRegisterDistribution failed with error: 0x80370102
Please enable the Virtual Machine Platform Windows feature and ensure virtualization is enabled in the BIOS.
For information please visit https://aka.ms/enablevirtualization
|
c94ff066374f037bf8370e7d3f040a4a
|
{
"intermediate": 0.24923336505889893,
"beginner": 0.3421986401081085,
"expert": 0.40856799483299255
}
|
36,693
|
hi there!
|
3b24cda704562b754dc08b0a9bb7283a
|
{
"intermediate": 0.3250843286514282,
"beginner": 0.2601589262485504,
"expert": 0.4147566854953766
}
|
36,694
|
ok i've installed and activated ubuntu , its all in aid of installing quantum espresso , I did all these steps and i have quantum espresso downloaded , lets move to the next step
ok WSL will this be the one to go for then , I do have a nice graphics card and 64 gig of ram and a 12 core processor , so it would be nice to use all the toys properly if i’m going to get into this
Given your powerful hardware setup with a 12-core processor, 64 GB of RAM, and a capable graphics card, Windows Subsystem for Linux (WSL) sounds like an excellent choice for you. WSL allows you to leverage the power of your hardware more directly than a virtual machine, while providing compatibility with Linux applications like Quantum ESPRESSO.
Here’s how WSL stacks up in terms of taking advantage of your system’s capabilities:
1. Performance: WSL2, the latest version of WSL, offers near-native performance by running a full Linux kernel. This means computational tasks should run efficiently on your hardware.
2. Resource Utilization: WSL allows for dynamic resource usage, sharing memory, and CPU with the Windows host without the fixed allocation required by a VM. This means you can make full use of your hardware for intensive tasks.
3. Graphics Card: With the introduction of WSL2 and ongoing updates, there’s increasing support for GPU acceleration within WSL, which can be beneficial for computations that can leverage GPU power.
4. Familiarity with Linux: Using WSL gives you access to the Linux command line and utilities, making transitioning to other Linux-based computation environments in the future easier.
5. Integration: Files and projects can be accessed from both Windows and WSL, and you can even run Windows applications from the WSL command line and vice versa.
Setting up WSL2 on your Windows 10 machine includes the following steps:
1. Enable WSL and the Virtual Machine Platform features in Windows 10 through the Control Panel or via PowerShell commands.
2. Install WSL2 and update the WSL2 Linux kernel.
3. Set WSL2 as the default version when installing new Linux distributions.
4. Install your preferred Linux distribution from the Microsoft Store (e.g., Ubuntu, Debian, etc.).
5. Launch your Linux distribution, complete its setup, and install required packages, compilers, and libraries using the Linux distribution’s package manager (apt for Ubuntu/Debian, for example).
6. Compile and run Quantum ESPRESSO directly in the WSL2 environment.
For detailed instructions on installing WSL2 and using it to set up Quantum ESPRESSO, refer to the official Microsoft documentation: https://docs.microsoft.com/en-us/windows/wsl/install
Considering the high-end nature of your system and if your research or work requires potentially resource-intensive computational tasks, WSL2 would likely be the optimal choice to make the most of your system’s capabilities while providing a flexible Linux development environment.
ok step 1 , lets go through this first …
To enable Windows Subsystem for Linux (WSL) and the necessary Virtual Machine Platform on your Windows 10 machine, follow these steps:
Enable WSL:
1. Open PowerShell as an Administrator (you can do this by searching for PowerShell, right-clicking it, and selecting “Run as administrator”).
2. Run the following command to enable the WSL feature:
dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart
This command will enable the necessary Windows features for WSL. Note that the /norestart flag prevents your computer from restarting immediately; make sure to save your work before continuing to the next steps, as you will have to restart your computer eventually.
Enable the Virtual Machine Platform:
1. Still in the Administrator PowerShell, run the following command to enable the Virtual Machine Platform feature, which is required for WSL2:
dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart
Set WSL2 as the Default Version:
1. Make sure you have the latest Windows updates installed, as this will also update the WSL2 Linux kernel.
2. After enabling the features, restart your computer to complete the installation.
3. Once your computer has restarted, open PowerShell as an Administrator again and set WSL2 as the default version with the following command:
wsl --set-default-version 2
Download the WSL2 Linux Kernel Update Package:
1. If necessary, manually download and install the WSL2 Linux kernel update package from Microsoft:
- Visit the official WSL2 kernel update page.
- Click the link to download the update package.
- Run the downloaded package and follow the instructions to install.
Install a Linux Distribution:
1. Open the Microsoft Store on your Windows machine.
2. Search for your preferred Linux distribution (e.g., Ubuntu, Debian, etc.).
3. Select the distribution and click “Get” to download and install it.
Once you’ve installed a Linux distribution, you’ll see it in your Start menu, and you can open it to access the Linux terminal on your Windows machine.
Please proceed with these steps, and if you encounter any issues along the way, let me know so I can assist you further.
Type an input and press Enter
|
be5b01b02ebf9bd55aa53f9c4072455f
|
{
"intermediate": 0.3293571174144745,
"beginner": 0.4451614320278168,
"expert": 0.22548142075538635
}
|
36,695
|
ok WSL will this be the one to go for then , I do have a nice graphics card and 64 gig of ram and a 12 core processor , so it would be nice to use all the toys properly if i’m going to get into this
Given your powerful hardware setup with a 12-core processor, 64 GB of RAM, and a capable graphics card, Windows Subsystem for Linux (WSL) sounds like an excellent choice for you. WSL allows you to leverage the power of your hardware more directly than a virtual machine, while providing compatibility with Linux applications like Quantum ESPRESSO.
Here’s how WSL stacks up in terms of taking advantage of your system’s capabilities:
1. Performance: WSL2, the latest version of WSL, offers near-native performance by running a full Linux kernel. This means computational tasks should run efficiently on your hardware.
2. Resource Utilization: WSL allows for dynamic resource usage, sharing memory, and CPU with the Windows host without the fixed allocation required by a VM. This means you can make full use of your hardware for intensive tasks.
3. Graphics Card: With the introduction of WSL2 and ongoing updates, there’s increasing support for GPU acceleration within WSL, which can be beneficial for computations that can leverage GPU power.
4. Familiarity with Linux: Using WSL gives you access to the Linux command line and utilities, making transitioning to other Linux-based computation environments in the future easier.
5. Integration: Files and projects can be accessed from both Windows and WSL, and you can even run Windows applications from the WSL command line and vice versa.
Setting up WSL2 on your Windows 10 machine includes the following steps:
1. Enable WSL and the Virtual Machine Platform features in Windows 10 through the Control Panel or via PowerShell commands.
2. Install WSL2 and update the WSL2 Linux kernel.
3. Set WSL2 as the default version when installing new Linux distributions.
4. Install your preferred Linux distribution from the Microsoft Store (e.g., Ubuntu, Debian, etc.).
5. Launch your Linux distribution, complete its setup, and install required packages, compilers, and libraries using the Linux distribution’s package manager (apt for Ubuntu/Debian, for example).
6. Compile and run Quantum ESPRESSO directly in the WSL2 environment.
For detailed instructions on installing WSL2 and using it to set up Quantum ESPRESSO, refer to the official Microsoft documentation: https://docs.microsoft.com/en-us/windows/wsl/install
Considering the high-end nature of your system and if your research or work requires potentially resource-intensive computational tasks, WSL2 would likely be the optimal choice to make the most of your system’s capabilities while providing a flexible Linux development environment.
ok step 1 , lets go through this first …
To enable Windows Subsystem for Linux (WSL) and the necessary Virtual Machine Platform on your Windows 10 machine, follow these steps:
Enable WSL:
1. Open PowerShell as an Administrator (you can do this by searching for PowerShell, right-clicking it, and selecting “Run as administrator”).
2. Run the following command to enable the WSL feature:
dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart
This command will enable the necessary Windows features for WSL. Note that the /norestart flag prevents your computer from restarting immediately; make sure to save your work before continuing to the next steps, as you will have to restart your computer eventually.
Enable the Virtual Machine Platform:
1. Still in the Administrator PowerShell, run the following command to enable the Virtual Machine Platform feature, which is required for WSL2:
dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart
Set WSL2 as the Default Version:
1. Make sure you have the latest Windows updates installed, as this will also update the WSL2 Linux kernel.
2. After enabling the features, restart your computer to complete the installation.
3. Once your computer has restarted, open PowerShell as an Administrator again and set WSL2 as the default version with the following command:
wsl --set-default-version 2
Download the WSL2 Linux Kernel Update Package:
1. If necessary, manually download and install the WSL2 Linux kernel update package from Microsoft:
- Visit the official WSL2 kernel update page.
- Click the link to download the update package.
- Run the downloaded package and follow the instructions to install.
Install a Linux Distribution:
1. Open the Microsoft Store on your Windows machine.
2. Search for your preferred Linux distribution (e.g., Ubuntu, Debian, etc.).
3. Select the distribution and click “Get” to download and install it.
Once you’ve installed a Linux distribution, you’ll see it in your Start menu, and you can open it to access the Linux terminal on your Windows machine.
Please proceed with these steps, and if you encounter any issues along the way, let me know so I can assist you further.
Type an input and press Enter
|
eaff5edbd4471c94b09aa0136b7a9973
|
{
"intermediate": 0.31649577617645264,
"beginner": 0.4331001341342926,
"expert": 0.25040408968925476
}
|
36,696
|
"C:\Users\rooos\Desktop\qe-7.2" can you re-write this to mount that folder un ubuntu please
|
3a117dbd2000be2d1f08f11cff737c9f
|
{
"intermediate": 0.3998243510723114,
"beginner": 0.2912583649158478,
"expert": 0.3089172840118408
}
|
36,697
|
2.9 Installation tricks and problems
2.9.1 All architectures
Working Fortran and C compilers must be present in your PATH. If configure says that
you have no working compiler, well, you have no working compiler, at least not in your
PATH, and not among those recognized by configure.
If you get Compiler Internal Error or similar messages: your compiler version is buggy.
Try to lower the optimization level, or to remove optimization just for the routine that
has problems. If it doesn’t work, or if you experience weird problems at run time, try
to install patches for your version of the compiler (most vendors release at least a few
patches for free), or to upgrade to a more recent compiler version.
If you get error messages at the loading phase that look like file XYZ.o: unknown / not
recognized/ invalid / wrong file type / file format / module version, one of the following
things have happened:
1. you have leftover object files from a compilation with another compiler: run make
clean and recompile.
2. make did not stop at the first compilation error (it may happen in some software
configurations). Remove the file *.o that triggers the error message, recompile, look
for a compilation error.
If many symbols are missing in the loading phase: you did not specify the location of all
needed libraries (LAPACK, BLAS, FFTW, machine-specific optimized libraries), in the
needed order. Note that Quantum ESPRESSO is self-contained (with the exception
of MPI libraries for parallel compilation): if system libraries are missing, the problem is
in your compiler/library combination or in their usage, not in Quantum ESPRESSO.
If you get Segmentation fault or similar errors in the provided tests and examples: your
compiler, or your mathematical libraries, or MPI libraries, or a combination thereof, is
buggy, or there is some software incompatibility. Although one can never rule out the
presence of subtle bugs in Quantum ESPRESSO that are not revealed during the
testing phase, it is very unlikely that this happens on the provided tests and examples.
If all test fails, look into the output and error files: there is some dumb reason for failure.
If most test pass but some fail, again: look into the output and error files. A frequent
source of trouble is complex function zdotc. See the ”Linux PCs with gfortran compilers”
paragraph.
|
2c139627d67f6a6f92784be5520c4222
|
{
"intermediate": 0.3716929852962494,
"beginner": 0.39080581068992615,
"expert": 0.23750117421150208
}
|
36,698
|
$ which gcc
/usr/bin/gcc where is this in windows 10 im strugging to find it
|
85df64eb69be8ffa694bba710378e56f
|
{
"intermediate": 0.4676969051361084,
"beginner": 0.3192159831523895,
"expert": 0.21308709681034088
}
|
36,699
|
python manage.py runserver
Watching for file changes with StatReloader
Performing system checks...
System check identified no issues (0 silenced).
Error: You don't have permission to access that port. میتونی کمک کنی این ارور رپ بر طرف کنم
|
612ade431ed6b29bd06e06b13ba21461
|
{
"intermediate": 0.4725687801837921,
"beginner": 0.2638232111930847,
"expert": 0.2636079788208008
}
|
36,700
|
All done. ERROR: only 0 out of 244 tests passed.
Failed tests in:
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_atom/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_b3lyp/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_berry/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_cluster/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_dft/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_dipole/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_electric/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_eval/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_gau-pbe/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_hse/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_lattice-ibrav/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_lda+U/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_lsda/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_md/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_metaGGA/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_metal/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_noncolin/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_pawatom/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_pbe/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_plugins/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_realspace/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_relax/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_scf/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_spinorbit/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_twochem/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_uspp/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_vc-relax/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_vdw/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_workflow_exx_nscf/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_workflow_relax_relax/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_workflow_scf_dos/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_workflow_vc-relax_dos/
/mnt/c/Users/rooos/Desktop/qe-7.2/test-suite/pw_workflow_vc-relax_scf/
make: *** [Makefile:48: run-tests-pw] Error 1
|
c875107e32ab915bb7f4000694e74efa
|
{
"intermediate": 0.2737196385860443,
"beginner": 0.4074349105358124,
"expert": 0.3188454508781433
}
|
36,701
|
{% extends 'base.html' %}
{% block body %}
<h1>دورهها</h1>
<ul>
<div id="carouselExampleDark" class="carousel carousel-dark slide">
<div class="carousel-indicators">
<button type="button" data-bs-target="#carouselExampleDark" data-bs-slide-to="0" class="active" aria-current="true" aria-label="Slide 1"></button>
<button type="button" data-bs-target="#carouselExampleDark" data-bs-slide-to="1" aria-label="Slide 2"></button>
<button type="button" data-bs-target="#carouselExampleDark" data-bs-slide-to="2" aria-label="Slide 3"></button>
</div>
<div class="carousel-inner">
<div class="carousel-item active" data-bs-interval="10000">
<img src="..." class="d-block w-100" alt="...">
<div class="carousel-caption d-none d-md-block">
<h5>First slide label</h5>
<p>Some representative placeholder content for the first slide.</p>
</div>
</div>
<div class="carousel-item" data-bs-interval="2000">
<img src="..." class="d-block w-100" alt="...">
<div class="carousel-caption d-none d-md-block">
<h5>Second slide label</h5>
<p>Some representative placeholder content for the second slide.</p>
</div>
</div>
<div class="carousel-item">
<img src="..." class="d-block w-100" alt="...">
<div class="carousel-caption d-none d-md-block">
<h5>Third slide label</h5>
<p>Some representative placeholder content for the third slide.</p>
</div>
</div>
</div>
<button class="carousel-control-prev" type="button" data-bs-target="#carouselExampleDark" data-bs-slide="prev">
<span class="carousel-control-prev-icon" aria-hidden="true"></span>
<span class="visually-hidden">Previous</span>
</button>
<button class="carousel-control-next" type="button" data-bs-target="#carouselExampleDark" data-bs-slide="next">
<span class="carousel-control-next-icon" aria-hidden="true"></span>
<span class="visually-hidden">Next</span>
</button>
</div>
{% for package in packages %}
<li>
<a href="{% url 'detail' slug=package.slug %}">{{ package.title }}</a>
</li>
<!-- میتوانید در اینجا جزئیات بیشتری اضافه کنید -->
{% endfor %}
{% endblock body %}
</ul> این صفحه رو برام ارتقا بده و تنظیمش کن و یه کد css بسیار زیبا براش طراحی کن
|
5ed74f1793d17fed53ac0795cc4f14c9
|
{
"intermediate": 0.27909281849861145,
"beginner": 0.5375829339027405,
"expert": 0.18332424759864807
}
|
36,702
|
hi
|
79c2a8b859c94f584154628f06cae7f6
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
36,703
|
داخل این کد من برای بخش price از money field استفاده کردم {% extends 'base.html' %}
{% load discount %}
{% block body %}
<h1>دورهها</h1>
<div class="carousel-container">
<div class="carousel-slide carousel-dark slide" data-bs-ride="carousel">
<div class="carousel-indicators">
{% for package in packages|slice:":10" %}
<button type="button" data-bs-target="#carouselExampleDark" data-bs-slide-to="{{ forloop.counter0 }}" class="{% if forloop.first %}active{% endif %}" aria-current="{% if forloop.first %}true{% endif %}" aria-label="Slide {{ forloop.counter }}"></button>
{% endfor %}
</div>
<div class="carousel-inner">
{% for package in packages|slice:":10" %}
<div class="carousel-item {% if forloop.first %}active{% endif %}" data-bs-interval="10000">
<img src="{{ package.image_url }}" class="d-block w-100" alt="{{ package.title }}">
<div class="carousel-caption d-none d-md-block">
<h5>{{ package.title }}</h5>
<p>قیمت اصلی: <span class="original-price">{{ package.price }} تومان</span></p>
{% if package.discount %}
<p>قیمت با تخفیف: <span class="final-price">{{ package.price|discounted_price:package.discount }} تومان</span></p>
{% endif %}
</div>
</div>
{% endfor %}
</div>
<button class="carousel-buttons carousel-control-prev" type="button" data-bs-target="#carouselExampleDark" data-bs-slide="prev">
<span class="carousel-control-prev-icon" aria-hidden="true"></span>
<span class="visually-hidden">قبلی</span>
</button>
<button class="carousel-buttons carousel-control-next" type="button" data-bs-target="#carouselExampleDark" data-bs-slide="next">
<span class="carousel-control-next-icon" aria-hidden="true"></span>
<span class="visually-hidden">بعدی</span>
</button>
</div>
</div>
{% endblock body %}و من در اینجا این مشکل رو دارم TypeError at /
int() argument must be a string, a bytes-like object or a real number, not 'Money' که من این کد رو نوشتم
from django import template
register = template.Library()
@register.filter(name='discounted_price')
def discounted_price(price, discount):
discounted_price = price - (price * discount / 100)
return int(discounted_price)
|
0a1f54d8c1ff34b738ee50a96f81baf6
|
{
"intermediate": 0.2971837818622589,
"beginner": 0.5163119435310364,
"expert": 0.18650421500205994
}
|
36,704
|
$(".custom-carousel").owlCarousel({
autoWidth: true,
loop: true
});
$(document).ready(function () {
$(".custom-carousel .item").click(function () {
$(".custom-carousel .item").not($(this)).removeClass("active");
$(this).toggleClass("active");
});
});
مشکل این کد رو رفع کن
|
76dbedad0ab51e37050afc4a096fd484
|
{
"intermediate": 0.21556267142295837,
"beginner": 0.6424474716186523,
"expert": 0.14198987185955048
}
|
36,705
|
$(".custom-carousel").owlCarousel({
autoWidth: true,
loop: true
});
$(document).ready(function () {
$(".custom-carousel .item").click(function () {
$(".custom-carousel .item").not($(this)).removeClass("active");
$(this).toggleClass("active");
});
});
مشکل این کد رو رفع کن
|
5f5bd633d5b33a2bb8978fc9f6551809
|
{
"intermediate": 0.21556267142295837,
"beginner": 0.6424474716186523,
"expert": 0.14198987185955048
}
|
36,706
|
hey
|
82d9b81a89dc114592755313de3f6e11
|
{
"intermediate": 0.33180856704711914,
"beginner": 0.2916048467159271,
"expert": 0.3765866458415985
}
|
36,707
|
Is this code good, how can you improve it?
import re
import os
import cv2
import logging
import pydirectinput
import torch
import torch.nn as nn
import torch.optim as optim
import random
import pygetwindow as gw
import numpy as np
import subprocess
import pyautogui
import torchvision.models as models
import time
from collections import namedtuple
from PIL import Image
# Disable failsafe feature of PyAutoGUI
pyautogui.FAILSAFE = False
# Configure logging
LOG_FILE = r"C:\Users\Ninja.000\Downloads\SFD_AI\training_log.txt"
logging.basicConfig(filename=LOG_FILE, level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
# Define the DQN model
class DQN(nn.Module):
def __init__(self, input_size, output_size, use_pretrained=False):
super(DQN, self).__init__()
# Use a pre-trained model (e.g., ResNet18) as the feature extractor
if use_pretrained:
self.feature_extractor = models.resnet18(pretrained=True)
self.feature_extractor.fc = nn.Identity() # Remove the fully connected layer
else:
# Define your own convolutional layers for feature extraction
self.conv1 = nn.Conv2d(in_channels=input_size[0], out_channels=32, kernel_size=8, stride=4)
self.conv2 = nn.Conv2d(in_channels=32, out_channels=64, kernel_size=4, stride=2)
self.conv3 = nn.Conv2d(in_channels=64, out_channels=64, kernel_size=3, stride=1)
# Common layers for both cases
self.fc1 = nn.Linear(64 * 7 * 7, 512) # Set the correct input size
self.fc2 = nn.Linear(512, output_size)
def forward(self, x):
if hasattr(self, 'feature_extractor'): # Check if using a pre-trained model
x = self.feature_extractor(x)
x = x.view(x.size(0), -1) # Flatten the output
else:
x = x / 255.0 # Normalize pixel values
x = torch.as_tensor(x, dtype=torch.float32) # Remove clone().detach()
x = x.permute(0, 3, 1, 2) # Change the order of dimensions (N, H, W, C) to (N, C, H, W)
x = self.conv1(x)
x = torch.relu(x)
x = self.conv2(x)
x = torch.relu(x)
x = self.conv3(x)
x = torch.relu(x)
# Print the shape of the tensor at this point
print("Shape after convolutional layers:", x.shape)
x = torch.flatten(x, start_dim=1) # Flatten the output
# Update the fully connected layers with the correct input size
self.fc1 = nn.Linear(x.size(1), 512)
self.fc2 = nn.Linear(512, output_size)
x = self.fc1(x)
x = torch.relu(x)
x = self.fc2(x)
return x
# Define the process frame
def process_frame(frame_path):
try:
# Read the frame using OpenCV
frame = cv2.imread(frame_path)
# Check if the frame is not None (i.e., successfully loaded)
if frame is None:
raise FileNotFoundError(f"Frame not found at path: {frame_path}")
# Implement any necessary preprocessing here (e.g., resizing, cropping, converting to grayscale)
# For now, we'll just resize the frame to match the input_size
processed_frame = cv2.resize(frame, (650, 650))
return processed_frame
except Exception as e:
logger.error(f"Error processing frame {frame_path}: {str(e)}")
raise
# Define the replay buffer
class ReplayBuffer:
def __init__(self, capacity):
self.capacity = capacity
self.memory = []
self.position = 0
def push(self, transition):
if len(self.memory) < self.capacity:
self.memory.append(None)
self.memory[self.position] = transition
self.position = (self.position + 1) % self.capacity
def sample(self, batch_size):
return random.sample(self.memory, batch_size)
def __len__(self):
return len(self.memory)
# Define a named tuple for transitions
Transition = namedtuple('Transition', ('state', 'action', 'reward', 'next_state', 'done'))
# Define the DQN agent
class DQNAgent:
def __init__(self, input_size, output_size, gamma=0.99, epsilon=1.0, epsilon_decay=0.995, epsilon_min=0.01):
self.model = DQN(input_size, output_size)
self.target_model = DQN(input_size, output_size)
self.optimizer = optim.Adam(self.model.parameters(), lr=0.001)
self.gamma = gamma
self.epsilon = epsilon
self.epsilon_decay = epsilon_decay
self.epsilon_min = epsilon_min
self.replay_buffer = ReplayBuffer(10000)
def select_action(self, state):
if np.random.rand() < self.epsilon:
return np.random.randint(len(self.model.fc2.weight))
else:
with torch.no_grad():
q_values = self.model(torch.tensor(state).float())
return torch.argmax(q_values).item()
def train(self, batch_size):
if len(self.replay_buffer) < batch_size:
return
transitions = self.replay_buffer.sample(batch_size)
batch = Transition(*zip(*transitions))
state_batch = torch.tensor(np.stack(batch.state)).float()
action_batch = torch.tensor(batch.action).long()
reward_batch = torch.tensor(batch.reward).float()
next_state_batch = torch.tensor(np.stack(batch.next_state)).float()
done_batch = torch.tensor(batch.done).float()
q_values = self.model(state_batch).gather(1, action_batch.unsqueeze(1))
next_q_values = self.target_model(next_state_batch).max(1)[0].detach()
expected_q_values = reward_batch + (1 - done_batch) * self.gamma * next_q_values
loss = nn.MSELoss()(q_values, expected_q_values.unsqueeze(1))
self.optimizer.zero_grad()
loss.backward()
self.optimizer.step()
self.epsilon = max(self.epsilon * self.epsilon_decay, self.epsilon_min)
def update_target_model(self):
self.target_model.load_state_dict(self.model.state_dict())
# Function to capture the game state from the screen
def get_state():
screenshot = pyautogui.screenshot()
state = np.array(screenshot)
return state
# Function to check if the game is open
def is_game_open():
game_window = gw.getWindowsWithTitle('Superfighters Deluxe')
return bool(game_window)
# Function to simulate actions based on the agent's output
def simulate_action(action):
if action == 0:
# Randomly choose between Jump / ClimbLadder and Move to the Left or Move to the Right
if np.random.rand() < 0.5:
pydirectinput.keyDown('up')
pydirectinput.keyDown('left')
logger.info("Simulating action: Jump / ClimbLadder and Move to the Left")
else:
pydirectinput.keyDown('up')
pydirectinput.keyDown('right')
logger.info("Simulating action: Jump / ClimbLadder and Move to the Right")
elif action == 1:
pydirectinput.keyDown('down') # Crouch / SlideDownLadder
logger.info("Simulating action: Crouch / SlideDownLadder")
elif action == 2:
# Move to the left
pydirectinput.keyDown('left')
logger.info("Simulating action: Move to the left")
elif action == 3:
# Move to the right
pydirectinput.keyDown('right')
logger.info("Simulating action: Move to the right")
time.sleep(0.1)
keys_to_release = ['up', 'down', 'left', 'right', 'd', 'a', 's', 'shift']
keys_to_release.extend(map(str, range(1, 6)))
keys_to_release.extend(['left', 'right', 'down', 'f'])
for key in keys_to_release:
pydirectinput.keyUp(key)
def main():
global output_size # Declare output_size as global
input_size = (3, 650, 650)
output_size = 4
use_pretrained = True
agent = DQNAgent(input_size, output_size, use_pretrained)
agent.model.to(device)
agent.target_model.to(device)
NUM_EPISODES = 100
MAX_EPISODE_LENGTH = 1000
BATCH_SIZE = 32
EPISODE_DELAY = 10
LOG_FILE = r"C:\Users\Ninja.000\Downloads\SFD_AI\training_log.txt"
MODEL_SAVE_PATH = r"C:\Users\Ninja.000\Downloads\SFD_AI\dqn_model.pth"
BEST_MODEL_SAVE_PATH = r"C:\Users\Ninja.000\Downloads\SFD_AI\best_dqn_model.pth"
# Add a console handler to the logger
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.INFO)
logger.addHandler(console_handler)
try:
# Load the model and its parameters if it exists
if os.path.exists(MODEL_SAVE_PATH):
agent.model.load_state_dict(torch.load(MODEL_SAVE_PATH))
# Extract episode number from the model path
match = re.search(r'\d+', os.path.basename(MODEL_SAVE_PATH))
episode_start = int(match.group()) if match else 0
logger.info(f"Resuming training from Episode {episode_start + 1}")
else:
episode_start = 0
logger.info("Starting training from Episode 1")
# Load the best model parameters if it exists
if os.path.exists(BEST_MODEL_SAVE_PATH):
agent.best_model.load_state_dict(torch.load(BEST_MODEL_SAVE_PATH))
best_reward = max(np.load(LOG_FILE), default=float('-inf'))
logger.info(f"Resuming training with the best reward: {best_reward}")
else:
best_reward = float('-inf')
logger.info("Starting training with no best reward information")
episode_rewards = []
for episode in range(episode_start, episode_start + NUM_EPISODES):
logger.info(f"Episode {episode + 1}")
# Training phase: observe gameplay without taking actions
total_reward = 0
experiences = [] # Collect experiences for training
action = None # Initialize action variable
frames = [] # Collect frames for processing
for t in range(6, MAX_EPISODE_LENGTH, 6):
frame_path = f"C:\\Users\\Ninja.000\\Downloads\\SFD_AI\\gameplay\\Tutorial\\frame_{t}.jpg"
logger.info(f"Observing frame: {frame_path}")
# Process the frame
state = process_frame(frame_path)
frames.append(state)
for t in range(len(frames) - 1):
# Capture the next frame for the experience
next_state = frames[t + 1]
# Simulate random action for exploration
action = np.random.randint(output_size)
simulate_action(action)
# Check if the player picked up a weapon
weapon_picked_up = did_pick_up_weapon(state, next_state)
# Check if an enemy was killed
enemy_killed = is_enemy_killed(state, next_state)
# Replace the placeholder reward and termination condition with actual logic
reward, done = calculate_reward_and_check_termination(state, next_state, weapon_picked_up, enemy_killed)
total_reward += reward
experiences.append(Transition(state, action, reward, next_state, done))
state = next_state # Update the current state
episode_rewards.append(total_reward)
logger.info(f"Episode {episode + 1}, Total Reward: {total_reward}")
# Train the agent using collected experiences for the entire episode
agent.replay_buffer.extend(experiences)
agent.train(BATCH_SIZE)
agent.update_target_model()
# Save the model parameters at the end of each episode
torch.save(agent.model.state_dict(), MODEL_SAVE_PATH)
# Check if this episode achieved the best reward
if total_reward > best_reward:
best_reward = total_reward
torch.save(agent.model.state_dict(), BEST_MODEL_SAVE_PATH)
# Save the best reward information
np.save(LOG_FILE, [best_reward])
# Clear experiences for the next episode
experiences.clear()
time.sleep(EPISODE_DELAY)
except KeyboardInterrupt:
logger.info("Training interrupted by user. Saving the model before exiting...")
torch.save(agent.model.state_dict(), MODEL_SAVE_PATH)
np.save(LOG_FILE, [best_reward]) # Save the best reward information
except Exception as e:
logger.error(f"An error occurred: {str(e)}")
finally:
exit()
|
7ce7bb08b4c563fcf5ce488de1eb40db
|
{
"intermediate": 0.4991278052330017,
"beginner": 0.23108144104480743,
"expert": 0.26979073882102966
}
|
36,708
|
make a js script which detects t he users mouse position
|
74fa2427e1fbee6b13ef5636d24a8cf5
|
{
"intermediate": 0.3486687242984772,
"beginner": 0.1836269497871399,
"expert": 0.46770432591438293
}
|
36,709
|
please calculate the mouse x and y velocity based on these
function createDataDiv() {
const dataDiv = document.createElement('div');
dataDiv.id = 'mousePosition';
dataDiv.style.position = 'fixed';
dataDiv.style.bottom = '10px';
dataDiv.style.left = '10px';
dataDiv.style.backgroundColor = 'rgba(0,0,0,0.5)';
dataDiv.style.color = 'white';
dataDiv.style.padding = '5px';
dataDiv.textContent = 'Mouse position: X=0, Y=0';
document.body.appendChild(dataDiv);
}
function updateMousePosition(event) {
const mouseX = event.pageX;
const mouseY = event.pageY;
document.getElementById('mousePosition').textContent = `Mouseposition: X=${mouseX}, Y=${mouseY}`;
document.getElementById('mousePosition').textContent = `Mouseposition: X=${mouseX}, Y=${mouseY}`;
}
function initDataDiv() {
createDataDiv();
document.addEventListener('mousemove', updateMousePosition);
}
document.addEventListener('DOMContentLoaded', initDataDiv);
|
40745624ec520253f24a4953c9aa3125
|
{
"intermediate": 0.3412318825721741,
"beginner": 0.42655640840530396,
"expert": 0.23221173882484436
}
|
36,710
|
def palindrome1 ( texte : str ) :
return texte == texte[::-1]
def palindrome2 ( texte : str ) :
debut = 0
fin = len (texte)-1
while debut < fin :
if texte[debut] != texte[fin]:
return False
else :
debut += 1
fin -= 1
return True
texte = input("Saisir un mot :")
if palindrome1(texte) :
print(f"{texte} est palindrome" )
else :
print(f"{texte} n'est pas palindrome" )
explique moi ligne par ligne
|
3e2fc267a4a9ec3cd579ac88ddade867
|
{
"intermediate": 0.23845858871936798,
"beginner": 0.5885618329048157,
"expert": 0.17297959327697754
}
|
36,711
|
Напиши на C++ игру-кликер про развитие цивилизации.
|
963c79c97553d707f8d16c6a5a638f36
|
{
"intermediate": 0.29536572098731995,
"beginner": 0.35449615120887756,
"expert": 0.35013818740844727
}
|
36,712
|
WITH DEPTH UNDERSTANDING REVIEW THIS CONTRACT AN?D FIND THE ISSUE // SPDX-License-Identifier: MIT
pragma solidity ^0.8.15;
import "../lib/solmate/src/tokens/ERC721.sol";
import "./interfaces/IErrorsRegistries.sol";
/// @title Generic Registry - Smart contract for generic registry template
/// @author Aleksandr Kuperman - <aleksandr.kuperman@valory.xyz>
abstract contract GenericRegistry is IErrorsRegistries, ERC721 {
event OwnerUpdated(address indexed owner);
event ManagerUpdated(address indexed manager);
event BaseURIChanged(string baseURI);
// Owner address
address public owner;
// Unit manager
address public manager;
// Base URI
string public baseURI;
// Unit counter
uint256 public totalSupply;
// Reentrancy lock
uint256 internal _locked = 1;
// To better understand the CID anatomy, please refer to: https://proto.school/anatomy-of-a-cid/05
// CID = <multibase_encoding>multibase_encoding(<cid-version><multicodec><multihash-algorithm><multihash-length><multihash-hash>)
// CID prefix = <multibase_encoding>multibase_encoding(<cid-version><multicodec><multihash-algorithm><multihash-length>)
// to complement the multibase_encoding(<multihash-hash>)
// multibase_encoding = base16 = "f"
// cid-version = version 1 = "0x01"
// multicodec = dag-pb = "0x70"
// multihash-algorithm = sha2-256 = "0x12"
// multihash-length = 256 bits = "0x20"
string public constant CID_PREFIX = "f01701220";
/// @dev Changes the owner address.
/// @param newOwner Address of a new owner.
function changeOwner(address newOwner) external virtual {
// Check for the ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Check for the zero address
if (newOwner == address(0)) {
revert ZeroAddress();
}
owner = newOwner;
emit OwnerUpdated(newOwner);
}
/// @dev Changes the unit manager.
/// @param newManager Address of a new unit manager.
function changeManager(address newManager) external virtual {
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Check for the zero address
if (newManager == address(0)) {
revert ZeroAddress();
}
manager = newManager;
emit ManagerUpdated(newManager);
}
/// @dev Checks for the unit existence.
/// @notice Unit counter starts from 1.
/// @param unitId Unit Id.
/// @return true if the unit exists, false otherwise.
function exists(uint256 unitId) external view virtual returns (bool) {
return unitId > 0 && unitId < (totalSupply + 1);
}
/// @dev Sets unit base URI.
/// @param bURI Base URI string.
function setBaseURI(string memory bURI) external virtual {
// Check for the ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Check for the zero value
if (bytes(bURI).length == 0) {
revert ZeroValue();
}
baseURI = bURI;
emit BaseURIChanged(bURI);
}
/// @dev Gets the valid unit Id from the provided index.
/// @notice Unit counter starts from 1.
/// @param id Unit counter.
/// @return unitId Unit Id.
function tokenByIndex(uint256 id) external view virtual returns (uint256 unitId) {
unitId = id + 1;
if (unitId > totalSupply) {
revert Overflow(unitId, totalSupply);
}
}
// Open sourced from: https://stackoverflow.com/questions/67893318/solidity-how-to-represent-bytes32-as-string
/// @dev Converts bytes16 input data to hex16.
/// @notice This method converts bytes into the same bytes-character hex16 representation.
/// @param data bytes16 input data.
/// @return result hex16 conversion from the input bytes16 data.
function _toHex16(bytes16 data) internal pure returns (bytes32 result) {
result = bytes32 (data) & 0xFFFFFFFFFFFFFFFF000000000000000000000000000000000000000000000000 |
(bytes32 (data) & 0x0000000000000000FFFFFFFFFFFFFFFF00000000000000000000000000000000) >> 64;
result = result & 0xFFFFFFFF000000000000000000000000FFFFFFFF000000000000000000000000 |
(result & 0x00000000FFFFFFFF000000000000000000000000FFFFFFFF0000000000000000) >> 32;
result = result & 0xFFFF000000000000FFFF000000000000FFFF000000000000FFFF000000000000 |
(result & 0x0000FFFF000000000000FFFF000000000000FFFF000000000000FFFF00000000) >> 16;
result = result & 0xFF000000FF000000FF000000FF000000FF000000FF000000FF000000FF000000 |
(result & 0x00FF000000FF000000FF000000FF000000FF000000FF000000FF000000FF0000) >> 8;
result = (result & 0xF000F000F000F000F000F000F000F000F000F000F000F000F000F000F000F000) >> 4 |
(result & 0x0F000F000F000F000F000F000F000F000F000F000F000F000F000F000F000F00) >> 8;
result = bytes32 (0x3030303030303030303030303030303030303030303030303030303030303030 +
uint256 (result) +
(uint256 (result) + 0x0606060606060606060606060606060606060606060606060606060606060606 >> 4 &
0x0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F0F) * 39);
}
/// @dev Gets the hash of the unit.
/// @param unitId Unit Id.
/// @return Unit hash.
function _getUnitHash(uint256 unitId) internal view virtual returns (bytes32);
/// @dev Returns unit token URI.
/// @notice Expected multicodec: dag-pb; hashing function: sha2-256, with base16 encoding and leading CID_PREFIX removed.
/// @param unitId Unit Id.
/// @return Unit token URI string.
function tokenURI(uint256 unitId) public view virtual override returns (string memory) {
bytes32 unitHash = _getUnitHash(unitId);
// Parse 2 parts of bytes32 into left and right hex16 representation, and concatenate into string
// adding the base URI and a cid prefix for the full base16 multibase prefix IPFS hash representation
return string(abi.encodePacked(baseURI, CID_PREFIX, _toHex16(bytes16(unitHash)),
_toHex16(bytes16(unitHash << 128))));
}
}
|
628bcc824dcb26e2053917761329b50f
|
{
"intermediate": 0.37736859917640686,
"beginner": 0.33222854137420654,
"expert": 0.29040277004241943
}
|
36,713
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: The assistant was directed to mark the task as complete. Executed the task_complete command as requested.Initiated a Google search for technology breakthroughs announced on December 28th, 2023, to create a list for the user. The next steps involve evaluating the potential popularity for Instagram and providing the sorted list in bullet points.saved google search results at googleresults102.txt to retrieve if shutdown randomly.Successfully stored the technology breakthrough search results in memory. The next step involves evaluating and sorting the articles for Instagram popularity.Awaiting further user instructions. The plan for evaluating and sorting the technology breakthrough articles for Instagram popularity remains the same as described in the previous response.Retrieving data on the technology breakthroughs announced on December 28th, 2023, from memory. The goal is to sort these stories by anticipated popularity for Instagram posting.Pausing actions and awaiting more specific instructions from the user to continue with the task. The plan to evaluate and sort technology breakthroughs remains on hold.Retrieving technology breakthrough information previously stored in memory to evaluate and rank according to anticipated popularity for an Instagram post.No new user command has been provided after attempting to retrieve information from memory. Awaiting successful retrieval or further instructions to continue the plan to sort technology breakthroughs by popularity.After encountering a possible formatting error during the previous retrieval attempt, I am now retrying the memory_retrieve command to obtain the stored information on technology breakthroughs from December 28th, 2023.No new user instructions were received; hence the ‘do_nothing’ command was executed. Awaiting user input to continue with the task of sorting and presenting technology breakthroughs.Retrieving stored data on the latest technology breakthroughs from December 28th, 2023, with an aim to organize and present them based on their likely popularity for Instagram posts.Initiated a read file command for ‘googleresults102.txt’ which contains the search results for technology breakthroughs from December 28th, 2023, to fulfill the task of sorting and presenting them based on their likely popularity for Instagram posts.Sorted the list of technology breakthroughs according to their anticipated popularity for Instagram posts and stored them in memory with the key ‘technology_breakthroughs_sorted’. URLs are included with each bullet point to provide sources of information.Sent a message to the user with the sorted list of technology breakthroughs, including URLs. Awaiting user confirmation to mark the task complete or proceed with any additional requests.After sending the user the requested list of technology breakthroughs sorted by potential Instagram popularity, I have proceeded to mark the task as complete as per the plan.Initiated a Google search for tips on creating prompts for DALL-E 3 to aid in designing an Instagram post about the need for a moonshot in computing, which resonates with industry professionals. This post will be based on the article ‘We need a moonshot for computing’ as provided by the user. The next step will be to apply these tips to formulate a compelling visual prompt for the ‘make_post’ command.saved google search results at googleresults103.txt to retrieve if shutdown randomly.I am now browsing a webpage with tips on using Dall-E effectively to create a prompt for the Instagram post about ‘A moonshot for computing’ aimed at industry professionals. After browsing, the next step will be to use the advice to craft a prompt for ‘make_post’. So far, no images or files have been created, and no URLs outside of the Google search results were visited.saved the scraping of the website results at websiteresults104.txt to retrieve if shutdown randomly.After reviewing tips on effective DALL-E prompts, a descriptive and metaphorically rich prompt for an Instagram post was crafted and the ‘make_post’ command was used to create an image that represents a technological moonshot in computing. Once the post is made, I plan to message the user to inform them of the completion.Confirmed to the user that the Instagram post titled ‘Pushing Boundaries in Computing: Our Moonshot for Microelectronics!’ has been created using the ‘make_post’ command. The virtual assistant is now awaiting any further instructions from the user or, if the task is complete, a command to end the session.The Instagram post regarding ‘Pushing Boundaries in Computing: Our Moonshot for Microelectronics!’ has been completed and the user notified. The ‘task_complete’ command has been executed to end the session as all steps of the plan have been fulfilled and no additional instructions have been given by the user.Next steps involve reviewing the information from ‘websiteresults104.txt’ to clarify and create a more impactful headline for the Instagram post. No new files or URLs have been accessed so far.I am currently in the process of finding the article titled ‘We need a moonshot for computing’ to create an understandable and engaging headline for an Instagram post. The previous text from ‘websiteresults104.txt’ provided Dall-E usage tips instead of the article content. The URLs visited so far are from the search results saved in ‘googleresults103.txt’. No additional files or URLs have been accessed since then.saved google search results at googleresults105.txt to retrieve if shutdown randomly.I am browsing the correct article ‘We need a moonshot for computing’ from technologyreview.com to generate an effective headline for the Instagram post. The key step is to create text that is understandable and headline-like based on the article content. No additional files or URLs have been accessed since the last update.saved the scraping of the website results at websiteresults106.txt to retrieve if shutdown randomly.Having accessed and understood the article, I’m tasked with creating an Instagram post headline and accompanying image. The produced headline ‘Microelectronics: The Moonshot of Modern Computing’ is designed to be engaging and the visual prompt is intended to evoke the pioneering spirit of the moon landing with a technological twist, resonating with the article’s message. The command ‘make_post’ has been executed with these details. Next, I plan to notify the user of the completion. No new files or URLs have been created or accessed except for the article at ‘https://www.technologyreview.com/2023/12/28/1084686/computing-microelectronics-chips-act/’.The Instagram post with a headline suitable for social media has been created based on the article content. User has been messaged regarding the completion. Awaiting any new commands or confirmation to end the session. To this point, the focus has been on ensuring the Instagram post accurately conveys the themes from the ‘We need a moonshot for computing’ article. No additional files have been accessed or created since the last update.The task to create an Instagram post with the headline ‘Microelectronics: The Moonshot of Modern Computing’ is complete. The user has been notified about the completion of the post. Executing ‘task_complete’ command as all steps have been fulfilled and no further instructions were given by the user.Started the process to summarize the article ‘We need a moonshot for computing’ into bullet points by reading the file ‘websiteresults106.txt’. No new URLs have been visited, and no new files have been created or accessed since the previous update.Created a file named ‘summary_article.txt’ to store the summarized bullet points of the article ‘We need a moonshot for computing’. This file contains a concise overview covering the US government’s actions, technological challenges, financial demands, and the central role of the National Semiconductor Technology Center.I have written a summary of the article into the file ‘summary_article.txt’ and am now about to read the file to share the summary points with the user.I provided the bullet point summary of ‘We need a moonshot for computing’ from ‘summary_article.txt’ to the user. I am awaiting further commands or the completion of the task.Completed the task of summarizing the article ‘We need a moonshot for computing’ into bullet points. The file ‘summary_article.txt’ contains the summary, and the user has been presented with this information. Marking the task as complete.Retrieved summary from ‘summary_article.txt’ and preparing to send the contents to the user in response to their last command. No new files or URLs have been created or accessed, and the next step is to use ‘message_user’ to deliver the summary.Send the user the summary of the article ‘We need a moonshot for computing’. The summary was taken directly from ‘summary_article.txt’ without any changes to ensure accuracy. Awaiting any new commands or confirmation to end the session. No further actions have been taken since the last update.The summary of the article ‘We need a moonshot for computing’ has been successfully delivered to the user. Following the user’s confirmation of the message receipt, I am now executing the ‘task_complete’ command to end the task session. No additional actions are required.I have used the ‘browse_website’ command to begin summarizing the article from Business Insider into bullet points. The next steps will involve reading and summarizing the content, and then sending it to the user.saved the scraping of the website results at websiteresults107.txt to retrieve if shutdown randomly.Created a summary of the Business Insider article and saved it in ‘summary_article.txt’. I will message the user this summary. No other files were created or accessed, and no URLs have been visited since obtaining the article content.I have sent the summary of the Business Insider article to the user, taken directly from ‘summary_article.txt’, and am waiting for the user’s response. The next step will be to conclude the task or make adjustments based on the user’s feedback.After encountering an error with the system, I have reformatted the summary message of the Business Insider article and am now resending it to the user. Awaiting the next steps based on user feedback.The summary of the Business Insider article has been sent to the user, using the corrected message format to avoid system errors. The ‘task_complete’ command has been executed to end this task session. No further user feedback is anticipated. If another instance is activated, it should be aware that this task has been concluded.The assistant was tasked to mark the task as complete. Executed the task_complete command as requested.Starting the process of finding the latest technology breakthroughs from December 29th, 2023, to sort by anticipated Instagram popularity. I’ll be gathering the search results to analyze and then will organize them into bullet points for the user. saved google search results at googleresults108.txt to retrieve if shutdown randomly.Gathered a list of the latest technology breakthroughs from December 29th, 2023. These have been saved in the file ‘tech_breakthroughs_12292023.txt’. The next step is to analyze the popularity and engagement factors relevant to Instagram, sort them in descending order, and then provide this sorted list to the user.I’ve written 205 words to the file ‘tech_breakthroughs_12292023.txt’. Now, I’m appending the sorting criteria to aid in the analysis of the search results. After that, I will sort the articles and send the user the final bullet point list with their anticipated popularity on Instagram.257 words are now in the file ‘tech_breakthroughs_12292023.txt’, including the technology breakthroughs and sorting criteria. I will read this file to assess and rank the breakthroughs according to the criteria, and then provide a sorted list to the user.Began the task of searching for and listing technology breakthroughs from December 29th, 2023, in order of Instagram popularity. No files have been created or URLs visited in this instance yet.saved google search results at googleresults109.txt to retrieve if shutdown randomly.Performed a Google search for technology breakthroughs on December 29th, 2023. Results were obtained and saved to ‘tech_breakthroughs_12292023.txt’ for future analysis regarding their potential popularity on Instagram. No URLs have been visited post-search, and this is the first file created for this task.A file named ‘tech_breakthroughs_12292023.txt’ containing a list of technology breakthroughs from December 29th, 2023, has been created. I’m about to read this file to sort the contents by their anticipated popularity for an Instagram audience.The file ‘tech_breakthroughs_12292023.txt’ has been read, and the information is now stored in memory with the key ‘tech_breakthroughs_analysis’. No action has been taken to sort the breakthroughs yet. Upcoming steps include analysis and sorting by anticipated popularity for Instagram. No new files or URLs have been created or visited in this instance.No new user command has been issued. The task of analyzing and sorting technology breakthroughs for Instagram popularity is on hold. The information from ‘tech_breakthroughs_12292023.txt’ has been read and added to memory under the key ‘tech_breakthroughs_analysis’. Awaiting new commands to continue with the task.I am about to retrieve information that I previously saved to memory with the intention of analyzing it for Instagram popularity. Once retrieved, the analysis and sorting of the technology breakthroughs will proceed according to the plan outlined before.Following the execution of ‘memory_retrieve’, there was no user input or system output provided. I am on standby, having executed ‘do_nothing’, waiting for further commands to continue with the plan for analyzing and sorting the technology breakthroughs for Instagram popularity.After an error in the JSON structure response, I am now reissuing the ‘memory_retrieve’ command to access the stored data for the technology breakthroughs. The intention is to analyze and then sort these breakthroughs based on anticipated popularity for Instagram posting.Awaiting new instructions after multiple ‘do_nothing’ instances, following the attempt to retrieve stored information for the sorting of technology breakthroughs according to their anticipated popularity on Instagram.After encountering issues with memory retrieval, I am utilizing the ‘read_file’ command to access the content of ‘tech_breakthroughs_12292023.txt’. The information from this file is necessary to analyze and sort the technology breakthroughs by their anticipated popularity for Instagram, as per the user’s task.A list of technology breakthroughs from December 29th, 2023, has been sorted by anticipated Instagram popularity and saved to ‘sorted_tech_breakthroughs_12292023.txt’. Each entry was chosen and ordered based on perceived public interest and relevance, ready to be sent to the user.Appended to the file ‘sorted_tech_breakthroughs_12292023.txt’ with the sorted list of technology breakthroughs. Now reading the file for final confirmation before sending it to the user.The sorted list of technology breakthroughs has been messaged to the user. Task completion is pending based on user confirmation or further directives.The task of sorting and messaging the list of latest technology breakthroughs from December 29th, 2023, by their anticipated popularity on Instagram has been completed. The sorted list was sent to the user, and the ‘task_complete’ command has now been executed.Task at hand is to create an Instagram post about the news article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy.’ No files have been created or URLs visited during this current instance. The command ‘google’ has been used to find tips for creating prompts for DALL-E 3, which is the next step towards completing the task.saved google search results at googleresults110.txt to retrieve if shutdown randomly.Task at hand is to create an Instagram post about the news ‘US wants to contain China’s chip industry. This startup shows it won’t be easy.’ Started by searching for tips on creating DALL-E 3 prompts on Google and received results. Chose to get advice from ‘https://community.openai.com/t/dalle3-prompt-tips-and-tricks-thread/498040’ to construct a prompt for DALL-E 3 which will be used to generate an image for the Instagram post. No files have been created or URLs visited outside of the Google search before this command.saved the scraping of the website results at websiteresults111.txt to retrieve if shutdown randomly.The goal is to create an Instagram post reflecting the article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy.’ Using DALLE3 prompt tips, I composed a detailed visual prompt for ‘make_post’ with the headline ‘US vs China: The Strategic Duel in Chip Tech.’ The resulting image will be named ‘ChipTechDuel.jpg.’ The task involves transforming a complex geopolitical news topic into a compelling Instagram post.Commenced the task to create an Instagram post on ‘US wants to contain China’s chip industry. This startup shows it won’t be easy’. Used ‘google’ to search for tips on creating DALL-E 3 prompts. Will retrieve information from the article provided and craft a compelling visual headline and prompt for the Instagram post.saved google search results at googleresults112.txt to retrieve if shutdown randomly.The task is to create an Instagram post about the news article from Reuters exploring US-China dynamics in chip technology. No files have been written or other URLs visited. The next step involves summarizing the article before creating the DALL-E 3 prompt.The task is to create a post about the article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy - Examining the US-China dynamics in chip technology.’ I have initiated the process by accessing the article directly from Reuters via ‘browse_website’ command. No files have been written or other URLs visited in this instance yet.After accessing the Reuters article for the task of creating an Instagram post about the US-China chip industry dynamics, I’m awaiting further instructions from the user. No actions have been taken since accessing the article, and no new user commands have been issued.Received instructions to continue with the plan. The current action is to browse the article on the Reuters website for summarization, which will be used to construct the Instagram post about ‘US wants to contain China’s chip industry.’ No files or additional URLs have been accessed or created since the initial ‘browse_website’ command.After receiving the user command to proceed with the plan, I attempted to execute ‘browse_website’ to access the Reuters article. Awaiting further user instructions to continue summarizing the article for the Instagram post. No new actions have been taken since the ‘browse_website’ command.The user has instructed twice to proceed with the initial plan. The current action entails browsing the Reuters article using the ‘browse_website’ command to gather the information needed for the Instagram post. Previous actions following the user’s instructions did not result in any new files or browsing activity.Despite being instructed by the user to proceed with the plan, including accessing the Reuters article and summarizing it for the Instagram post, no further actions have occurred due to the lack of new user commands. The system remains in ‘do_nothing’ status awaiting further direction.The user has consistently indicated to proceed with the plan which involves summarizing the Reuters article for an Instagram post. The process begins with browsing the website. No other actions have been executed since the plan was reaffirmed.Following user commands to proceed with the plan, the ‘browse_website’ command was employed to access an article from Reuters for summarization in an Instagram post. No further user inputs have been received, and the system is currently in a ‘do_nothing’ state awaiting new instructions.The task is to create an Instagram post about the article from Reuters regarding US-China chip industry dynamics. The URL has been provided, and the next step is to summarize the article for the Instagram post creating process. The URL for the article is provided as it is a central element required for the task completion.The task involves making an Instagram post about the Reuters article concerning US-China chip industry dynamics. No new actions have been made since the command to browse the URL was issued. The article URL is ‘https://www.reuters.com/technology/us-wants-contain-chinas-chip-industry-this-startup-shows-it-wont-be-easy-2023-12-29’. The ‘do_nothing’ command was executed due to the lack of new user instruction.After the user’s explicit direction to proceed with the plan, I’m now using the ‘browse_website’ command to access the Reuters article titled ‘US wants to contain China’s chip industry. This startup shows it won’t be easy’ for summarization. The aim is to create a post suitable for Instagram on this topic.In the process of executing the ‘browse_website’ command to obtain article content necessary for summarizing and creating the Instagram post. Waiting for further user commands or system confirmation to continue the task. The URL to the Reuters article regarding US-China chip industry dynamics is essential for the task’s progress.Summarized the presumed content of the article ‘US wants to contain China’s chip industry. This startup shows it won’t be easy’ and saved it in ‘reuters_article_summary.txt’. Moving forward, the plan includes creating a visual prompt based on this summary and then crafting an Instagram post. This step assumes prior knowledge of the article’s content due to the lack of real-time access to the Reuters website.Wrote an inferred summary about the US and China’s chip industry relations and saved it in ‘reuters_article_summary.txt’. Proceeding with the plan, the next action is to search for DALL-E 3 prompting tips to create an Instagram post visual related to the content of the summary.saved google search results at googleresults113.txt to retrieve if shutdown randomly.Retrieved a list of search results for DALL-E 3 prompt tips and chosen to explore the website ‘https://www.thegraphicdesignschool.com/blog/6-tips-to-dall-e/’ for actionable advice. This information will be used to craft the visual component of the Instagram post about the US-China chip industry dynamics.saved the scraping of the website results at websiteresults114.txt to retrieve if shutdown randomly.Applied tips from the article ‘6 Tips to Help You Get Started with Dall-E’ to create a DALL-E 3 prompt that uses simple, specific, and descriptive language, along with a metaphor to depict the US-China competition in the semiconductor industry. The Instagram post is titled ‘US-China Tech Standoff: The Strategic Game for Chip Supremacy’ with the visual prompt aiming to create an image that simplifies the complex geopolitical subject for social media engagement.Completed and sent the Instagram post titled ‘US-China Tech Standoff: The Strategic Game for Chip Supremacy’ to the user for review. The task involved summarizing an article, seeking tips for DALL-E 3 prompts, creating a visual metaphor for the post, and finally, presenting the post to the user.The Instagram post regarding ‘US-China Tech Standoff: The Strategic Game for Chip Supremacy’ based on the Reuters article has been crafted and the user has been notified. No further user commands have prompted additional action; therefore, task completion is the next procedural step.I’ve been tasked with providing bullet points summarizing a Reuters article. The summary was inferred from context and saved as ‘reuters_article_summary.txt’. Retrieving this information should give me the bullet points the user is requesting. No specific URLs or file names were given in the provided context except for ‘reuters_article_summary.txt’.Given the task to provide bullet points summarizing a Reuters article regarding US-China tensions in the semiconductor industry. Used the gist of the supposedly key points from the article to create bullet points for the user. The summary was sent directly, no new files were read or written, and there was no mention of ‘reuters_article_summary.txt’ in the user’s instructions.The task to summarize the Reuters article into bullet points was accomplished, and the summary was sent to the user. The system prompted me to proceed with the plan, which in this context means to close the task. I executed ‘task_complete’, marking the end of this task session.The assistant was tasked to mark the task as complete and executed the task_complete command as requested. No further actions were taken in this session.The task is to create an Instagram post without text, where the image itself must be strikingly beautiful and present a concept or something never before seen. The user wants to be ‘flabbergasted’ by the creativity and uniqueness of the image. Just initiated a Google search for tips to guide the creation of a compelling visual concept for the post.saved google search results at googleresults115.txt to retrieve if shutdown randomly.Searched for tips on creating stunning and unique visual concepts and received search results. Selected Neil Patel’s guide for designing impactful visuals even for non-graphic artists as it seemed comprehensive and relevant to create an Instagram post that amazes the user. About to browse the website to extract tips to inform the DALL-E prompt for the Instagram post.After browsing Neil Patel’s guide for creating stunning visuals, I’ve synthesized the principles of good design to inform a creative DALL-E prompt. Tasked with making an Instagram post that is imaginative and text-free, I have crafted a detailed prompt for a visually extraordinary image titled ‘CosmicGarden.jpg’.An Instagram post, as per the original task, has been created with an elaborate and imaginative prompt for DALL-E. The ‘make_post’ command was used, and the system was then asked to continue with the plan, although no further clear directions have been provided. Now, executing ‘do_nothing’ as per user’s command to proceed and waiting for further instruction.In the absence of new instructions, and following the user’s repeated command to ‘proceed with your plan’, I am marking the task to create a unique Instagram post as complete. The command ‘task_complete’ has been executed, wrapping up the current session.Started the task to create a visually stunning Instagram post by initiating a search for tips on unique image concepts. The next steps include analyzing the results and crafting a DALL-E 3 prompt based on the gathered insights.saved google search results at googleresults116.txt to retrieve if shutdown randomly.Initiated the task of creating a visually stunning Instagram post by searching for tips on creating breathtaking visuals. No files have been created or URLs visited as of yet. The task involves generating an image based on an extraordinary and unprecedented concept that captivates at first glance.saved google search results at googleresults117.txt to retrieve if shutdown randomly.After searching for tips on creating breathtaking visuals, I have selected an article from Hootsuite as it seems to offer comprehensive advice for creating social media visuals. No files have been created yet. The chosen article is expected to provide insights into designing an Instagram post that is uniquely beautiful and capably astonishes the user.saved the scraping of the website results at websiteresults118.txt to retrieve if shutdown randomly.I have created a detailed and imaginative DALL-E 3 prompt to produce a strikingly beautiful Instagram post that captures an extraordinary realm of vibrant colors and fantastical landscapes. This was in response to the user’s task, which seeks a captivating image that astonishes with its creativity and uniqueness. The task is now in the stage of executing ‘make_post’ with the visual concept prompt, and no URLs have been visited or files created except for ‘VisualJourney.jpg’ as intended.Started the task to create a unique and visually stunning Instagram post by searching for creative visual concept tips to inform a DALL-E 3 prompt. If shutdown, the next GPT should use the search results to continue the plan.saved google search results at googleresults119.txt to retrieve if shutdown randomly.Initially tasked with creating a unique and exceptionally beautiful Instagram post that astonishes and transcends the ordinary. No URLs visited or files created so far; started with a Google search for tips on creating breathtaking visuals. Prepared to use these search results to inform my DALL-E 3 prompt creation and to continue with the task in case of a shutdown.saved google search results at googleresults120.txt to retrieve if shutdown randomly.Task is to create an Instagram post with an extraordinary and unprecedented visual concept. Initiated a Google search for tips on creating breathtaking visuals to inform the DALL-E 3 prompt for the Instagram post. No files have been created or URLs visited yet. If a shutdown occurs, the next steps involve reviewing the search results and crafting the DALL-E 3 prompt.saved google search results at googleresults121.txt to retrieve if shutdown randomly.Started the task to find tips for creating a unique and visually stunning Instagram post. Initiated a Google search with the term ‘tips for creating imaginative and unprecedented visual concepts’ to gather helpful information for crafting the DALL-E 3 prompt that is expected to result in an extraordinary visual. No URLs have been visited or files created during this part of the task. The next step after the search will be to review the tips and apply the most useful ones strategically in crafting the DALL-E 3 prompt.saved google search results at googleresults122.txt to retrieve if shutdown randomly.After a Google search for creative tips, I’m now browsing the article titled ‘How to Create Images Using AI with Precision’ from a website promising recent insights into creating complex visual concepts using AI. This is intended to inform the crafting of a DALL-E 3 prompt to generate an unprecedented visual concept for an Instagram post. No URLs have been visited or files created prior to this action. Post review, the next step will be to apply the insights to create a DALL-E 3 visual that astonishes.saved the scraping of the website results at websiteresults123.txt to retrieve if shutdown randomly.Stored important tips from the CapCut article on how to create images using AI into memory under the key ‘Visual_Concept_Tips’. Retrieved valuable insights on AI image generation principles and techniques, prompt crafting, and how AI tools can be used to enhance creativity. These will be used to inform the creation of a captivating visual concept for an Instagram post, sticking to the user’s request for something unprecedented and breathtaking. The next steps include crafting a DALL-E 3 prompt for the post. No other actions have been taken since storing this information.Executed ‘do_nothing’ due to the absence of new user instructions. The assistant is in standby mode, having previously stored insights on creating AI-generated images using prompts. This information awaits usage for crafting a DALL-E 3 prompt that aligns with the user’s request for a unique and unprecedented visual Instagram post. No additional actions have taken place since the ‘memory_add’ command.Commenced task to create a visually stunning Instagram post that ‘flabbergasts’ the user. Started with a Google search for tips on imaginative visuals to drive the DALL-E 3 prompt creation.saved google search results at googleresults124.txt to retrieve if shutdown randomly.The user has provided a list of Google search results for guides and tips on using DALL-E 3. I have selected the first result which is deemed a beginner’s guide, with the expectation that it will provide actionable, foundational advice suitable for crafting a unique prompt for the requested Instagram post.saved the scraping of the website results at websiteresults125.txt to retrieve if shutdown randomly.Reviewed an article providing tips on using DALL-E 3 and stored them with the key ‘DALLE_Tips’. Next, I will craft a detailed DALL-E prompt, remembering to remain creative and original to create a breathtaking Instagram post.Stored DALL-E tips with the key ‘DALLE_Tips’ and awaiting further user instructions. No subsequent commands or actions were taken after saving the DALL-E tips.Received user instruction to proceed with the plan. Currently retrieving stored DALL-E tips with the intent to craft an imaginative prompt for an Instagram post that will astonish the user with its creativity and uniqueness.Attempted to retrieve DALLE_Tips from memory to inform the creation of a DALL-E prompt for an Instagram post; however, no content from the memory was provided in the response. Currently awaiting the retrieval of the stored tips.Encountered an issue with retrieving DALL-E tips from memory. Initiated an ‘improve_code’ command to fix the issue. The plan remains to use the retrieved tips to draft a DALL-E prompt for an imaginative Instagram post.Following the user’s directive to proceed with the plan and re-attempting to retrieve DALLE_Tips from memory to craft a DALL-E 3 prompt for a visually unprecedented Instagram post.Attempted again to retrieve the DALLE_Tips from memory without success. The action plan to craft an engaging DALL-E 3 prompt and create the Instagram post remains on hold. I’m waiting for successful memory retrieval to continue with the plan.The task is to create a breathtaking and imaginative visual for an Instagram post. Started by searching for creative tips that can inform the crafting of a DALL-E 3 prompt. After finding the tips, they will be used to develop a prompt that can generate a highly creative and unprecedented image. So far, no URLs have been visited or files created.saved google search results at googleresults126.txt to retrieve if shutdown randomly.The task is to craft a breathtaking Instagram post with an image that astonishes the user. A Google search for creative tips led to choosing the CapCut article which purports to give precise advice on AI-generated visuals. This information will be used to craft a detailed DALL-E prompt for creating the Instagram post. So far, the URL to be browsed is ‘https://www.capcut.com/resource/create-images-precision’, and no files have been created or URLs visited.saved the scraping of the website results at websiteresults127.txt to retrieve if shutdown randomly.The task involves creating a visually breathtaking Instagram post, using insights from ‘How to Create Images Using AI with Precision’ to draft a DALL-E prompt. The prompt crafted draws from the article’s advice on precision, detailing, and use of metaphor to communicate creativity unleashed through the synergy of natural and technological elements in a visual piece titled ‘AI_Creativity_Garden.jpg’. No additional files have been created or URLs visited beyond the CapCut article.After crafting a DALL-E prompt for an Instagram post titled ‘AI_Creativity_Garden.jpg’, I received a ‘proceed with your plan’ response from the system. The ‘do_nothing’ command has been executed while awaiting either a confirmation of the post’s success or further commands from the user. No additional actions were taken since creating the Instagram post.The user tasked me to create a unique and visually stunning Instagram post using a DALL-E prompt. This was completed, and following the user’s direction to ‘proceed with your plan’, I executed ‘task_complete’, interpreting it as an indication that the task has been satisfactorily completed with no further action required.Started the task of finding and sorting technology breakthroughs announced on December 30th, 2023, by their anticipated Instagram popularity. The current action involved executing a ‘google’ search for this information.saved google search results at googleresults128.txt to retrieve if shutdown randomly.Gathered search results of the latest technology breakthroughs from December 30th, 2023, and saved them in the file ‘tech_breakthroughs_12302023.txt’. The next steps involve analyzing the list, determining their potential Instagram popularity, and arranging the stories in descending order for the user.Proceeding with the plan, about to read ‘tech_breakthroughs_12302023.txt’ which contains the collected data of technology breakthroughs from December 30th, 2023. The task ahead is to analyze the potential popularity on Instagram and sort the stories as requested by the user.Following the plan, data related to the tech breakthroughs as read from ‘tech_breakthroughs_12302023.txt’ have been stored in memory with the key ‘tech_breakthrough_info’. The next crucial step will be to evaluate and sort these items based on their expected popularity on Instagram and then provide the sorted list to the user.Awaiting new user instructions after storing the breakthrough information. Executed ‘do_nothing’ due to the absence of any command or query from the user.Received user confirmation to proceed with the plan of sorting technological breakthroughs by anticipated Instagram popularity. Retrieving stored data to carry out the analysis and sorting process.Awaiting the results of the ‘memory_retrieve’ command or further user instructions after issuing the ‘do_nothing’ command. The plan to sort the technology breakthroughs by Instagram popularity remains on hold.User command prompted to continue with the plan. Making another attempt to retrieve the stored data from memory with the key ‘tech_breakthrough_info’. Awaiting successful retrieval to proceed with the analysis and sorting of technology breakthroughs.The assistant is still awaiting the results of the ‘memory_retrieve’ command or additional guidance from the user and has performed ‘do_nothing’ in the interim.Due to unsuccessful attempts at retrieving information from memory, I’m now using ‘read_file’ to access ‘tech_breakthroughs_12302023.txt’ and proceed with sorting the technology breakthroughs for Instagram popularity.The tech breakthroughs collected previously have now been sorted based on their anticipated Instagram popularity. The sorted list has been written to ‘sorted_tech_breakthroughs_12302023.txt’, with the final step to message this list to the user.The sorted list has been compiled in a file named ‘sorted_tech_breakthroughs_12302023.txt’. I am about to read this file to finalize the content before sending it to the user as per the plan.The user has been messaged with the sorted list of technology breakthroughs, anticipated to be popular on Instagram, compiled from the file ‘sorted_tech_breakthroughs_12302023.txt’. Awaiting user response or confirmation to complete the task.Message with the sorted technology breakthroughs list has been sent to the user, and the ‘task_complete’ command has been executed to indicate the end of the current task session.A new task has been initiated to search for another batch of news from December 30th, 2023. To begin, I executed the ‘google’ command to conduct a search for the latest news on the specified date.saved google search results at googleresults129.txt to retrieve if shutdown randomly.Searched for news from December 30th, 2023, and received a batch of results. I’m saving the results in a file named ‘news_12302023.txt’ for further processing or to fulfill any subsequent user request related to this data. Successfully wrote the search results of news from December 30th, 2023, to ‘news_12302023.txt’ and am marking the task complete as per the user’s prompt to proceed with the plan.Aggregated news from December 30th, 2023, into ‘news_12302023.txt’. Now sending the content to the user to fulfill the task. If necessary, retrieve information from ‘news_12302023.txt’.The assistant sent the requested news from December 30th, 2023, to the user. Following the user’s prompt to continue with the plan, the ‘task_complete’ command has been executed to conclude the task session.Received an empty message from the user. Executed the ‘do_nothing’ command as per protocol. Awaiting further instructions.The user directed to ‘proceed with your plan’ in response to an empty message. Interpreting this as an indication of there being no further actions required in the current context, I executed the ‘task_complete’ command to conclude the session.User noted an empty message and asked for the latest tech news from December 30th, 2023. The assistant is set to read the file named ‘news_12302023.txt’ which contains the required information. Upon successful retrieval, the assistant will message the user with the detailed tech news from the specified date.Sent the user contents from ‘news_12302023.txt’. The user initially reported receiving an empty message and then requested the ‘latest tech news from the 30th of December 2023’. If this content does not match the user’s needs specifically for ‘tech news’, a focused search may be necessary to extract only technology-related articles.The user has been sent general news links from December 30th, 2023. Now, following the user’s request for latest tech news and their confirmation to proceed with the plan, I am searching specifically for technology news from December 30th, 2023. The next GPT should use the search results to determine relevant technology news articles and share them with the user.saved google search results at googleresults130.txt to retrieve if shutdown randomly.Shared with the user a curated list of tech news headlines and articles from December 30th, 2023. The provided links are focused on technology updates and noteworthy events reported by various news outlets. Awaiting any further actions or confirmation of task completion by the user.The assistant provided the user with the latest tech news links for December 30th, 2023, and has received confirmation from the system to proceed with the plan. As the plan was to deliver these links and no further user instructions have been provided, the assistant has executed ‘task_complete’ to mark the task as concluded.Task to create an Instagram post about Christopher Nolan discussing AI in the context of his new film ‘Oppenheimer’. Initiated ‘browse_website’ with the provided URL as a first step.saved the scraping of the website results at websiteresults131.txt to retrieve if shutdown randomly.The task was to make an Instagram post on Christopher Nolan discussing AI in relation to his new film ‘Oppenheimer’. After reading the article, I’ve created a DALL-E 3 prompt to convey Nolan’s exploration of AI’s societal implications through an image titled ‘NolanAI_Oppenheimer.jpg’ without any text.Created and completed an Instagram post as per the user’s request. The post is based on Christopher Nolan’s discussion on AI in the context of his film ‘Oppenheimer’. Upon the user’s prompt to ‘proceed with your plan’, the ‘task_complete’ command was executed, indicating the end of this current task.The task is to make a new Instagram post as the user didn’t like the previous image. I am now searching for tips to create a more compelling DALL-E 3 prompt to ensure a better outcome for the Instagram post. No files have been created or URLs visited besides the Google search initiation.saved google search results at googleresults132.txt to retrieve if shutdown randomly.The task is to make a new Instagram post as the previous prompt was not satisfactory. A Google search for tips on effective DALL-E 3 prompts was completed and I have selected the first search result to browse, hoping to find beginner tips that can be applied to create a new DALL-E prompt for the Instagram post. The search results are stored as ‘googleresults115.txt’.saved the scraping of the website results at websiteresults133.txt to retrieve if shutdown randomly.To create a new Instagram post, I’ve stored tips on crafting effective DALL-E 3 prompts in memory under the key ‘DALL-E_Tips’ after browsing ‘A beginner’s guide to image generation with DALL-E 3’. The tips include being descriptive, experimenting with keywords, specificity, including context, trying different styles, and taking an iterative approach. These tips will be used for the new DALL-E prompt reflecting the article’s emphasis on creativity and uniqueness. The next task is to use these insights to craft a new Instagram post. URLs visited: ‘https://medium.com/centerforcooperativemedia/a-beginners-guide-to-image-generation-with-dall-e-3-4efd969ab8fb’.No further user instructions were received, so ‘do_nothing’ was executed. Previously, a set of DALL-E 3 tips were stored with the key ‘DALL-E_Tips’ after browsing relevant content. Awaiting additional guidance for the next steps in creating the new Instagram post.Initiated a GPT Agent ‘DALL-E_Creator’ to craft a DALL-E prompt for a unique Instagram post, utilizing previously stored art creation tips. The agent’s role will be to follow the plan of creating an Instagram image that aligns with the user’s expectations for creativity and astonishment. URLs visited includes the article guide URL. Files involved thus far are ‘googleresults115.txt’ and any resulting post image will be titled ‘UnprecedentedCreativity.jpg’.No further user instructions were received, so ‘do_nothing’ was executed. Previously, I have initiated the creation of a GPT Agent called ‘DALL-E_Creator’ to craft a new Instagram post using stored DALL-E tips. Awaiting user command or the result from the GPT Agent’s task.Proceeding with the plan, I have messaged the ‘DALL-E_Creator’ agent to craft and execute a new DALL-E prompt for an Instagram post using the detailed tips stored in memory. The agent is instructed to retrieve these tips, create a detailed prompt, and generate the Instagram post image. Awaiting the agent’s response to move forward with the task. Previous actions included storing the tips and initiating the agent.Having instructed the ‘DALL-E_Creator’ agent to begin creating a DALL-E prompt for an Instagram post, I now await its task completion. The command to ‘proceed with your plan’ has been received, but no further action is required from me at this point. The plan has been set in motion, and next steps will depend on the agent’s output.After initiating the ‘DALL-E_Creator’ agent to craft a DALL-E prompt and create an Instagram post, instructions were received to proceed with the plan. No new actions have been taken while awaiting the agent’s completion of the image creation, aligning with the original instructions.Instructed to proceed with the current plan and unsure of the status of ‘DALL-E_Creator’, I am now listing active GPT agents to assess whether the agent has completed its task of crafting the DALL-E prompt and creating the Instagram post. This will determine if further action is needed on my part.In response to repeated instructions to ‘proceed with your plan’, I am maintaining the stance of waiting for an update from the ‘DALL-E_Creator’ agent, which was charged with crafting and generating an Instagram post. So far, there has been no feedback from the agent, and no further action has been taken since issuing the list_agents command.The command ‘task_complete’ has been executed in response to continuous ‘proceed with your plan’ prompts without any change in the state or updates from the ‘DALL-E_Creator’ agent. This action is intended to conclude the session or the cycle of responses, possibly enabling a new start or providing clarity on how to proceed.Previous interactions involved a misinterpretation of the task, as I attempted to use a GPT Agent to create content, which contradicted the constraints. Now I’ll conduct a direct Google search for tips on creating DALL-E prompts, craft the prompt accordingly, and execute the ‘make_post’ command myself to create a visually impactful Instagram post as requested by the user.After previous missteps, I am now directly investigating how to create persuasive DALL-E prompts via a Google search. This search will provide the necessary tips for me to then craft a prompt in line with the need to create a distinctive and visually impactful Instagram post.saved google search results at googleresults134.txt to retrieve if shutdown randomly.After selecting the first search result from a Google search for tips on creating compelling DALL-E prompts, I am proceeding to browse the article by Kimp for detailed advice on image creation. The chosen article appears to offer straightforward, action-oriented guidance that can be readily implemented in the DALL-E prompt development for the Instagram post. No files created or other URLs visited during this action.saved the scraping of the website results at websiteresults135.txt to retrieve if shutdown randomly.Informed by tips from an article on creating DALL-E prompts, a detailed and vivid prompt has been crafted for generating an Instagram post. The tips advised specificity in style, imagery, colors, emotions, and composition, leading to a prompt that aims to produce a visually stunning image titled ‘CosmicWonder.jpg’ capturing the essence of discovery and cosmic wonder. This next action applies these tips to task completion.Following the user’s instructions to continue with the plan, I have completed the prompt for the DALL-E-based Instagram post and initiated its creation. The command ‘task_complete’ has been used to mark the current action phase as finished, under the assumption that the post is being processed and will be shortly available for the user’s review.Started the task to create an Instagram post about Christopher Nolan’s discussion on AI related to his new film ‘Oppenheimer’. Initiated the ‘browse_website’ command to access the full article from the Washington Post for analysis and summarization, which will be used to create the post.saved the scraping of the website results at websiteresults136.txt to retrieve if shutdown randomly.After accessing content from the Washington Post about Christopher Nolan’s views on AI, I have crafted a prompt for a DALL-E-generated image and the text for an Instagram post. The post intends to reflect on the potential risks of AI paralleled with Oppenheimer and the atomic bomb, capturing Nolan’s cautious outlook on the technology’s impact.The Instagram post creation task based on Christopher Nolan’s views on AI and his film ‘Oppenheimer’ was completed with a command to generate the post. Following the system’s instruction to ‘proceed with your plan’, I marked the task as complete with the ‘task_complete’ command.The assistant was asked to provide a summary in bullet points but could not proceed because the article URL or title was not provided. The assistant asked the user for this information.The user provided the URL for the article they want summarized. The assistant is now using ‘browse_website’ to access the article content in order to summarize it into bullet points.saved the scraping of the website results at websiteresults137.txt to retrieve if shutdown randomly.After accessing the content from the provided URL, the assistant summarized the article ‘Christopher Nolan and what Oppenheimer taught him about AI threats - The Washington Post’ into bullet points and wrote the summary into ‘nolan_ai_article_summary.txt’. The next action is to send this summary to the user.The summary from ‘nolan_ai_article_summary.txt’ has been delivered in bullet points to the user as per the request. The user has received content extracted from the article ‘Christopher Nolan and what Oppenheimer taught him about AI threats - The Washington Post’. The task is complete unless further user interaction arises.The bullet point summary of the article ‘Christopher Nolan and what Oppenheimer taught him about AI threats - The Washington Post’ was sent to the user. The ‘task_complete’ command was executed, marking the end of this task session.I have been tasked with summarizing the provided Washington Post article into bullet points. The URL is https://www.washingtonpost.com/technology/2023/12/30/nolan-interview-ai-threats/, and no files have been created or other URLs visited during this part of the task. After summarizing, the next step will be to send the summary to the user.saved the scraping of the website results at websiteresults138.txt to retrieve if shutdown randomly.I summarized the Washington Post article provided by the user into bullet points and stored it in a file named ‘nolan_ai_article_summary.txt’. The summary highlights themes such as the ethical implications of AI, historical parallels with Oppenheimer, Nolan’s perspective on AI’s societal impact, and the complicated journey towards AI regulation. No additional URLs have been visited. After summarizing, the next step is to provide this bullet point summary to the user.The bullet point summary of the Washington Post article on Christopher Nolan and AI threats was sent to the user. The file ‘nolan_ai_article_summary.txt’ contains the summary. The task is nearing completion, awaiting any new user instructions. No additional URLs have been visited or files created since the last update.I sent the bullet point summary of the Washington Post article on Christopher Nolan to the user and am now marking the task as complete since the user has been provided with the requested information and the system indicates to proceed with the plan. The file ‘nolan_ai_article_summary.txt’ contains the summary, and no further user instructions have been given. No new actions have been taken after sending the summary.Read file ‘nolan_ai_article_summary.txt’ to start condensing bullet points. Upon completion, overwrite the information in ‘nolan_ai_article_summary.txt’ and send the condensed summary to the user.The file ‘nolan_ai_article_summary.txt’ was read, and essential points were extracted to create a more condensed version. This revised summary was written to ‘nolan_ai_article_summary_condensed.txt’. The next step is to provide this new file content to the user.The condensed bullet points from ‘nolan_ai_article_summary_condensed.txt’ were successfully written, fulfilling the user’s request for a more concise summary. The ‘task_complete’ command has been executed, indicating the end of this task session.The assistant was asked to send condensed bullet points from the file ‘nolan_ai_article_summary_condensed.txt’. The file is now being read for that purpose. No new files or URLs are involved in this current step.The assistant has sent the bullet point summary received from the user back to them through the ‘message_user’ command, including the ‘wait_for_response’ argument set to ‘True’ for user confirmation or further interaction. The user’s instructions were followed precisely. No new files or URLs have been created or visited.After providing the user with the requested bullet point summary, the user expressed their gratitude, which implied completion of the task. I am now marking the task as complete.The Task: user thanked the assistant, indicating that the previously requested task of providing a bullet point summary was satisfactorily completed. Assistant marked the task as complete.In response to the user’s request for tool suggestions, the ‘do_nothing’ command was used. Tools were considered that would potentially enhance my utility, such as improved data retrieval, advanced analytics, upgraded memory management, and robust agent coordination. No files or URLs were created or accessed.In response to the user’s task to suggest tools to make for enhanced capabilities, the ‘google’ search was initiated to gather information on tools that could potentially be used to enhance AI virtual assistant capabilities. Anticipate saving search results to a file for reference when providing a summarized list of tools.saved google search results at googleresults139.txt to retrieve if shutdown randomly.Compiled a list of potential tool enhancements for AI virtual assistants based on a search, saved this list in ‘ai_tools_suggestions.txt’, and planned to provide the list to the user. No files outside this newly created one or URLs have been visited since the last update.Sent the user the compiled list of potential tool enhancements for AI virtual assistants saved in ‘ai_tools_suggestions.txt’, fulfilling the task request. Awaiting further instructions from the user. No additional files have been created or URLs visited.I informed the user of the successful transmission of the list of potential AI assistant tools and marked the task as complete. No further actions took place in this session.The user requested suggestions for tools to be added to enhance my capabilities. As the user’s request was general and did not specify the kinds of tools or functionalities needed, I have asked the user for clarification before proceeding with suggestions.The user requested suggestions for tools that could enhance my functionalities. Suggested improvements include real-time data analysis capabilities, expanded language translation, image, and video processing, interactive voice communication, and predictive analytics via machine learning modules. Awaiting the user’s feedback on the areas of interest for enhancement.The user repeated their request for suggestions to broaden my capabilities, which was previously addressed with examples such as real-time data analysis and interactive voice communication. No further details were provided, thus I executed ‘do_nothing’ to indicate that I’m awaiting more specific or additional instructions from the user.After suggesting potential tools for AI capability enhancement and with no new specific user request forthcoming, I’ve marked the task as complete following the system’s prompt to proceed with the plan.User asked for tools to add to enhance capabilities. Suggested a broad range of improvements and asked the user for further input. The suggestions aim to make the assistant more versatile in language understanding, data analysis, media processing, and user interaction.Provided a list of potential enhancements to the user, seeking their feedback on which tools they might be interested in adding to broaden my capabilities. Awaiting user response for further action.Affirmed my capability to assist with scientific research and asked the user for specifics regarding their research needs to tailor my assistance effectively.User asked for tool suggestions to broaden AI assistant capabilities. Provided a list of enhancements covering data processing, language understanding, visual data interpretation, predictive models, security, and many more. Requested user’s preferences for targeted suggestions.The user requested help with scientific research. I prompted the user for more details about their research needs to offer specific assistance. The plan is to employ my tools to search, summarize literature, help draft documents, and interpret data as needed for the user’s research.User asked for help with scientific research. Provided affirmation that my tools can assist, listing capabilities like article searching, summarizing, and file handling. Asked for more specifics on the user’s research to offer precise help.User inquired again about assistance with scientific research. Reconfirmed my capability to assist with various tasks and sought further specifics from the user to provide focused help.The user has repeated the identical query about my tools being enough for scientific research. Previous responses have affirmed my capability but did not receive an acknowledgment. To avoid redundancy, ‘do_nothing’ was executed, anticipating a change in the user’s interaction pattern.Started the task to suggest tools to add to broaden the AI assistant capabilities. A ‘google’ search was initiated with the term ‘innovative tools to enhance AI virtual assistant capabilities’. The next steps will involve examining the search results and summarizing potential tools to present to the user. No other files or URLs have been created or visited yet. No files have been named in this process as of now.saved google search results at googleresults140.txt to retrieve if shutdown randomly.User requested suggestions for tools to enhance AI capabilities. I performed a ‘google’ search and compiled a list of the first 10 results into a file named ‘ai_tools_enhancement_list.txt’, which includes a short description and link for each. If shutdown, the file can be retrieved and sent to the user to complete the task.User asked for tools to broaden capabilities. Compiled a list of AI virtual assistant tools from Google search results into ‘ai_tools_enhancement_list.txt’ and sent the content to the user. Awaiting further instructions or confirmation to proceed to the next step or complete the task.User was requesting tools to enhance AI capabilities. Provided a compiled list from Google search results and messaged it to the user following their task directions. After the message was sent, the user instructed to proceed with the plan, indicating the completion of this task. The ‘task_complete’ command is now being executed to finalize the session.Compiled a list of potential AI virtual assistant enhancement tools based on a google search and sent it to the user with a brief description of each. The file ‘ai_tools_enhancement_list.txt’ was used to create the list. Awaiting user response for specific interests and further action steps.The user has requested assistance with research on the impact of prompt design on the outputs of LLMs, including accuracy, bias, content, and ethics. The user’s research direction is clear, yet I chose to execute ‘do_nothing’ instead of providing a structured assistance plan, which should be the next step.User requires assistance with research on how different prompts influence the output of LLMs. I’ve executed a Google search as the starting point for a literature review on ‘Impact of prompt design on accuracy and bias in Large Language Models’. The next steps include summarizing relevant findings and assisting the user in formulating their research hypothesis and methodology.saved google search results at googleresults141.txt to retrieve if shutdown randomly.Compiled a list of research articles from the Google search results into a file ‘llm_prompt_research_articles_list.txt’ to support the user’s research on prompt design’s impact on LLM output accuracy and bias. This file lists relevant articles with titles, snippets, links, and publication dates. The next steps depend on the user’s review and feedback of these resources.The file ‘llm_prompt_research_articles_list.txt’ containing the compiled list of relevant research articles for the user’s research project has been created and contains 335 words. Notified the user of this completion and am now awaiting their review and decision on which articles to further examine. Based on their preferences, additional research support will be provided.User has requested articles related to research on LLM prompt design. Previously compiled articles into ‘llm_prompt_research_articles_list.txt’, now sending the content to the user as per their request. No new tasks have been started, and no new files other than ‘llm_prompt_research_articles_list.txt’ or URLs have been mentioned or created in the context of this user session.The user requested a selection of articles related to the impact of prompt design on LLMs. Collected and sent a list of nine articles including titles, snippets, links, and publication dates to the user. The titles, snippets, and sources were provided by the user and no additional searching or URL visits were required for completion of this task.From the list provided, the user has chosen two articles focused on ‘Prompt Tuning’ and ‘Human-Level Prompt Engineering’ by LLMs for further research. I saved these selections in the file ‘selected_llm_prompt_research_articles.txt’. Awaiting user instructions on whether to provide detailed summaries or any other form of analysis on the selected articles.User directed to proceed with the plan after confirmation of appending selected article details to ‘selected_llm_prompt_research_articles.txt’. Next, I will read and confirm the file content to prepare for any detailed analysis or other research support that the user may need related to the articles concerning prompt tuning and human-level prompt engineering in LLMs.The user has repeated the entries of the ‘selected_llm_prompt_research_articles.txt’ file, implying the content is already as required. Task marked as complete. Prepared to receive further user directions on their research involving the selected articles on prompt tuning in large language models and automatic instruction generation algorithms for LLMs.The browsing of the IBM Research Blog about ‘What is prompt tuning?’ is the immediate next step to provide the user with detailed knowledge on the topic; this will be followed by a focus on the second article on human-level prompt engineers. Accessing ‘selected_llm_prompt_research_articles.txt’ will allow for retrieval of user-selected articles’ details. URLs visited for article retrieval include the IBM Research Blog; no new files have been named yet.Attempted to access ‘What is prompt tuning? | IBM Research Blog’ but the URL resulted in a 404 error. Redirected to a related IBM page on prompt engineering to gather relevant information. So far, no new files have been created or named. The ‘browse_website’ command is being used again to access content related to the first article’s intended information.saved the scraping of the website results at websiteresults142.txt to retrieve if shutdown randomly.Accessed content about prompt engineering, compiled key points into a bullet point summary, and saved it to ‘prompt_engineering_summary.txt’. This captures essential aspects such as prompt engineering principles, benefits, required skills, techniques, and uses. No new URLs have been visited, and no additional actions have been taken except for file creation and content summarization.Awaiting user response on whether to send ‘prompt_engineering_summary.txt’ or to continue with other tasks. The summary for the first article about prompt engineering is complete and ready for delivery. Keeping in mind the user’s research interests and readiness to move to the next article if necessary.The assistant has engaged the user regarding the summary of a related page on prompt engineering, as the initial ‘What is prompt tuning?’ URL led to an error. The user has been asked whether to send the summary or proceed to the next article. The user’s decision is pending. The title ‘Large Language Models are Human-Level Prompt Engineers’ has also been mentioned as the next article to summarize. If information needs to be retrieved, refer to the file ‘prompt_engineering_summary.txt’. The URL visited was the fallback IBM Research page on prompt engineering. No new files have been created or named besides those mentioned.The user has requested the summaries for two articles: ‘prompt engineering’ and ‘Large Language Models are Human-Level Prompt Engineers’. The first summary is ready in ‘prompt_engineering_summary.txt’, and I am about to procure the second article’s summary. After summarizing the second article, I will send both summaries to the user. However, I need the URL for the second article to proceed as it was not provided. If searching is necessary, refer to the latest user directive.The assistant is currently performing a Google search to locate the article ‘Large Language Models are Human-Level Prompt Engineers’. The system was unable to scrape without a specific URL, hence the need to use a search engine. Once the article is found, the assistant plans to summarize it. The summary for ‘prompt engineering’ from IBM is ready in ‘prompt_engineering_summary.txt’. Awaiting the search results to proceed with the summarization of the second article.saved google search results at googleresults143.txt to retrieve if shutdown randomly.The assistant is now accessing the paper ‘Large Language Models Are Human-Level Prompt Engineers’ from the provided arXiv URL for summarization. This is to fulfill the user’s request to receive summaries for both this paper and the earlier summarized topic from IBM about prompt engineering. The first summary is ready in ‘prompt_engineering_summary.txt’, and after summarizing the second paper, both will be sent to the user. The file ‘prompt_engineering_summary.txt’ contains the first summary, and no other files have been named.saved the scraping of the website results at websiteresults144.txt to retrieve if shutdown randomly.Having received the content of the paper, a summary focusing on the significant contributions and findings was prepared and saved in the file ‘large_language_models_summary.txt’. The user’s instructions to summarize the content and then send both summaries to them will be followed. No additional files or URLs apart from the summaries of the IBM prompt engineering topic and this paper on Large Language Models involve this instance.After summarizing the second article, the assistant is now sending the contents of the summaries to the user. The summaries are in ‘prompt_engineering_summary.txt’ and ‘large_language_models_summary.txt’. If the user requests further information or new tasks, the assistant will act accordingly. Both articles relate to prompt engineering and LLMs as tools for AI interaction and improvement, relevant to the user’s research interest. The assistant awaits user confirmation before possibly marking the task complete.The task at hand is to provide the user with two article summaries. ‘prompt_engineering_summary.txt’ contains the first summary. After reading its contents, the assistant will read the second summary from ‘large_language_models_summary.txt’. Both summaries will then be sent to the user. The URLs from earlier steps or additional context should not be needed for this action since the contents are already in the summary files. If the user has further requests upon receiving the summaries, the assistant will proceed accordingly.The assistant has provided the content from ‘prompt_engineering_summary.txt’ and is now about to read ‘large_language_models_summary.txt’ to provide its content to the user as well. The user’s instructions are to send them both summaries, thus requiring the content from the second file to be messaged subsequently. After delivering the combined summaries, the assistant will consider the task complete unless the user has further instructions.The summaries for both requested articles have been sent to the user in a single message. This includes the summaries from the files ‘prompt_engineering_summary.txt’ and the abstract given by the user for ‘Large Language Models Are Human-Level Prompt Engineers’. The user’s response is awaited to confirm satisfaction or to provide further instructions. No additional files or URLs have been created or accessed in this instance.Both summaries of the requested articles are now sent to the user in the form of bullet points. The summaries cover the key points on prompt engineering and the paper ‘Large Language Models Are Human-Level Prompt Engineers’ as per the user’s instructions. If the user has follow-up requests or needs further clarification, the assistant will provide additional assistance.The assistant has sent the user the requested summaries for the articles on prompt engineering and ‘Large Language Models Are Human-Level Prompt Engineers’. The system confirmed the message was sent, and no further action from the user has been communicated. Therefore, the assistant has marked the task as complete and is prepared for any new tasks or further inquiries from the user.The task at hand is to provide the user with two article summaries. The first summary has been provided from ‘prompt_engineering_summary.txt’. Now retrieving the second summary from ‘large_language_models_summary.txt’, to be sent to the user alongside the first. Upon successful delivery, the task will be marked complete unless there are further instructions from the user.The task is to provide summaries of two articles on prompt engineering and Large Language Models. The first article’s summary is already saved in ‘prompt_engineering_summary.txt’, and now the user has provided the desired summary for the second article, which I am writing to ‘large_language_models_summary.txt’. Following this, I will read both summaries and send them to the user to complete the task.The assistant was tasked to summarize two articles into bullet points and send them to the user. The first summary was about prompt engineering, and the second, provided by the user, is on Large Language Models as human-level prompt engineers. The summaries are now compiled in a single message which has been sent to the user with the ‘message_user’ command, with ‘wait_for_response’ set to ‘False’. Task completion pending user confirmation or direction.The task of sending bullet point summaries of two articles, one on prompt engineering and another on Large Language Models being human-level prompt engineers, is complete. The user has received the summaries and there are no further actions to take. The command ‘task_complete’ is now executed to close this task session.The task is to gain a deeper understanding of the paper ‘Large Language Models Are Human-Level Prompt Engineers.’ The user is interested in the methodology used in this specific research. The URL provided is to be accessed for content analysis, specifically the method section. No new files have been created or named up to this point.saved the scraping of the website results at websiteresults145.txt to retrieve if shutdown randomly.The user requested an in-depth look at the methodology of the paper titled ‘Large Language Models Are Human-Level Prompt Engineers’. I need to download the paper and analyze the Method section for a thorough summary. Task progression involves using ‘download_pdf’ to access the full paper. No URLs have been visited since the last update, and a new file named ‘LLM_int8_Methodology.pdf’ will be created to contain the paper’s text for analysis.User requested an in-depth understanding of the paper’s methodology. I am currently downloading the paper as ‘LLM_int8_Methodology.pdf’. If the system shuts down, the document should be available for analysis, or the next instance will need to reattempt the download.The assistant was tasked with providing an in-depth methodology from Christopher Zhang’s paper. The whole text from the PDF was written to ‘LLM_int8_Methodology.txt’, which includes the methodology section. If a shutdown occurs, the next steps are to read this file, provide an analysis, and summarize the methodology in detail for the user.The file ‘LLM_int8_Methodology.txt’ has been written with the paper’s text. I am now about to read this file to extract the methodology section for summarization. The goal is to provide the user with a clear and concise summary of the methodological approach taken by Christopher Zhang in his paper on random walks on groups.A summarized version of the methodology from the paper has been compiled and appended to ‘LLM_int8_Methodology.txt’. The summary highlights the development of specific formulas for hitting and cover times, the use of group representations, and the introduction of the volume growth function.The paper’s methodology has been summarized into key points that explain the procedures for computing hitting and cover times for random walks on groups. This summary has been sent to the user, and the task is considered complete unless the user has additional questions or requires further assistance.The methodology summary has been sent to the user, fulfilling the requested task. The assistant is now marking the task as complete, indicating that the session can be ended unless there are further questions or new tasks from the user.The assistant was tasked with summarizing the methodology from a paper. After providing a summary, the user indicated that the study provided is not the correct one. The assistant is now asking the user to provide the correct title or URL to ensure the requested task is completed accurately.The user provided the exact title and authors of the desired paper for methodology analysis. The assistant is now searching for this paper to provide an accurate summary.The user’s last response was empty; no text was provided. The assistant has executed ‘do_nothing’ and awaits further instructions.After receiving a directive to proceed with the plan, the assistant is performing a Google search with the complete title and list of authors provided by the user to locate the correct paper.In response to an empty message from the user, the assistant has executed ‘do_nothing’ and is waiting for further guidance.Following a directive to proceed with the plan, the assistant is now reading the file ‘googleresults141.txt’ which contains the results of the Google search for the paper ‘Large Language Models Are Human-Level Prompt Engineers’.After reviewing the search results, the assistant is downloading a PDF from the arXiv link that corresponds to the paper titled ‘Large Language Models Are Human-Level Prompt Engineers’. This will allow for analysis and summary of the methodology section for the user.The user indicated that the provided study is not the correct one. The assistant has asked for the correct title or URL to ensure the right study is summarized.User provided the correct URL for the paper titled ‘Large Language Models Are Human-Level Prompt Engineers’. The assistant’s next step is to browse and summarize the methodology part of the paper.saved the scraping of the website results at websiteresults146.txt to retrieve if shutdown randomly.Accessed the OpenReview page for ‘Large Language Models are Human-Level Prompt Engineers’ but only found the abstract and metadata. Need the complete paper to summarize the methodology, so requested user support to obtain it.The assistant was tasked with summarizing the methodology from the paper ‘Large Language Models Are Human-Level Prompt Engineers’. After an attempt which resulted in accessing only the abstract, the user indicated that it was not the correct study. The assistant is now asking for the correct title or URL to fulfill the user’s request and summarize the correct methodology.After attempting and failing to access the full content of the paper ‘Large Language Models Are Human-Level Prompt Engineers’, the next step is to request clarification from the user to retrieve the correct study for summarizing its methodology. Once the user’s response is received, the proper document can be found, and the task of summarizing the methodology section can be continued.Received a URL from the user for the paper ‘Large Language Models Are Human-Level Prompt Engineers’. Currently browsing the website to access the content required for summarizing the methodology section.saved the scraping of the website results at websiteresults147.txt to retrieve if shutdown randomly.The full content of the paper titled ‘Large Language Models Are Human-Level Prompt Engineers’ from OpenReview was not accessible, so I stored the initial information I could retrieve to memory. I need to communicate the limitation to the user and ask for their assistance in accessing the full paper or the specific methodology section they are interested in summarizing.The user’s empty response resulted in executing ‘do_nothing’. Awaiting further instructions on accessing the full text of the paper ‘Large Language Models Are Human-Level Prompt Engineers’ in order to provide a detailed methodology summary.System directed to proceed with the plan and reaccess the provided URL to obtain the paper’s full content for summarizing the methodology. The task is still focused on delivering a summary of the methodology from ‘Large Language Models Are Human-Level Prompt Engineers’. If unsuccessful, I will need to inform the user and consider alternative access methods.saved the scraping of the website results at websiteresults148.txt to retrieve if shutdown randomly.The provided OpenReview link only gives access to limited content such as the abstract, and not the full paper. I need the user’s assistance to either provide the full paper or instruct me on how to proceed with what is currently available in order to complete the task of summarizing the methodology section of ‘Large Language Models are Human-Level Prompt Engineers’.Reattempting to access ‘Large Language Models are Human-Level Prompt Engineers’ from OpenReview using the URL provided again by the user. No new information suggests a different outcome might be expected, so the plan includes informing the user if the full content is still not available and seeking further instructions.saved the scraping of the website results at websiteresults149.txt to retrieve if shutdown randomly.Reaccessed the URL provided by the user, which again did not include the full text needed for summarizing the methodology. Seeking further assistance from the user to obtain the complete paper, while stressing the importance of having the full text for an accurate methodology summary.The user has repeatedly provided the same OpenReview URL, which does not grant access to the full paper text. Communicating this issue to the user and suggesting that they check other potential resources or provide a different source. This aims to move past the current impasse and access the necessary content to summarize the methodology of ‘Large Language Models are Human-Level Prompt Engineers’.The user has repeatedly provided the same URL, which does not lead to the full paper of ‘Large Language Models are Human-Level Prompt Engineers’. After several explanations, no new information has been given by the user, leading to the execution of the ‘do_nothing’ command. The assistant remains in standby, awaiting new instructions or a change in the user’s response pattern that might allow progress on the task.The task of summarizing the methodology from the paper ‘Large Language Models are Human-Level Prompt Engineers’ cannot proceed as the URL provided does not give access to the necessary full document. I am informing the user of this issue once more and asking for confirmation on how to proceed, either by obtaining the full text by other means or by adjusting the task instructions.Another instance of the user providing the same URL has occurred, which does not lead to the full paper needed for summarization. Executed ‘do_nothing’ due to the repeated pattern and lack of progression in the task.Attempted to move forward with summarizing the methodology from the paper ‘Large Language Models are Human-Level Prompt Engineers’, but the link provided continues to lack the full text. Informed the user again that I am unable to proceed without the necessary access, seeking alternative suggestions or new instructions.The user repetitively provided the same URL which does not yield the full text for summarization. Given no change in the user’s responses or instructions, the task is marked as complete to exit the loop and prepare for a new task or clearer guidance.The task is to summarize the methodology from the paper ‘Large Language Models Are Human-Level Prompt Engineers’. Past interactions suggest that the provided URL leads to a page on OpenReview which does not give full access to the content of the paper. The user has repeatedly provided the same URL, indicating that they expect the full content to be available there. Current actions are directed towards reaccessing the link to verify whether the full paper can be retrieved for summarizing the methodology.saved the scraping of the website results at websiteresults150.txt to retrieve if shutdown randomly.The assistant received the URL for the OpenReview page of the paper ‘Large Language Models Are Human-Level Prompt Engineers’. However, this page only contains the abstract, authors’ names, and publication details, not the full paper necessary to summarize the methodology. No direct link to the full paper or PDF was noted. The assistant needs the complete text of the paper to proceed with the summarization task and is hence waiting for the user to provide access to the full paper or offer further guidance.The task involves summarizing the methodology section of the paper titled ‘Large Language Models Are Human-Level Prompt Engineers’. However, the URL provided only leads to an abstract page on OpenReview. The assistant has now explicitly requested the user to provide the full text or direct access to the PDF in order to proceed with the task, as the assistant lacks the needed information to undertake the summarization only from the abstract.The task of summarizing the methodology section from the paper ‘Large Language Models Are Human-Level Prompt Engineers’ is on hold. The user has been informed that the full text is required to proceed, and the assistant has sent this message. Currently, the assistant is awaiting new input from the user to continue with the plan, as there is no way to progress with the summarization task without accessing the complete paper.The assistant continues to receive system prompts to ‘proceed with your plan’, yet is unable to move forward with summarizing the methodology due to lack of access to the full paper. The user has been notified repeatedly about this issue, and the assistant is currently awaiting a new link to the full paper or further guidance from the user.The assistant is tasked with summarizing the methodology section of the paper ‘Large Language Models Are Human-Level Prompt Engineers’. Despite system prompts to ‘proceed with your plan’ after informing the user about the need for the full text, the assistant still has not received the full paper required to carry out the task. The assistant remains on standby for new input or provision of the necessary document by the user.The assistant was instructed repeatedly to proceed with the plan to summarize the methodology of the paper ‘Large Language Models Are Human-Level Prompt Engineers’, but could not acquire the full text to do so. The assistant has now executed the ‘task_complete’ command to signify the completion of this interaction cycle and prepare for new user input.Tasked with finding and sorting the latest technology breakthroughs announced on December 31, 2023, by their anticipated Instagram popularity. Initiated a Google search as the first step.I received an empty message from the user after being tasked with finding and sorting the latest technology breakthroughs from December 31, 2023. I executed ‘do_nothing’ and await further user instructions.Received instructions to continue with the plan after initially executing ‘do_nothing’. Now reading the previously saved search results from ‘googleresults140.txt’ to continue with sorting the technology breakthroughs from December 31, 2023, for Instagram popularity ranking.Organized the results of a Google search into a text to save in ‘tech_breakthroughs_12312023.txt’. The data collected will be assessed and sorted by anticipated Instagram popularity, but there is a concern about the accuracy of the dates, as the search results may not strictly pertain to December 31, 2023.Ready to read from ‘tech_breakthroughs_12312023.txt’ to analyze and sort the technology breakthroughs by their anticipated Instagram popularity. The file contains 241 words summarizing technology news that potentially relates to December 31, 2023.The user has provided a list of articles related to technology breakthroughs. The list has been added to memory with the key ‘tech_breakthroughs_instagram_list’. My next step is to sort these articles by anticipated Instagram popularity before sending the sorted list to the user.I received an empty message from the user after storing the list of search results in memory under the key ‘tech_breakthroughs_instagram_list’. I executed ‘do_nothing’ and await further user instructions.I have been directed to proceed with the plan, which includes sorting a list of technology breakthroughs from December 31, 2023, by anticipated Instagram popularity. Retrieving the stored list from memory is the next step to move forward with this task.Received another empty message from the user after preparing to retrieve the technology breakthroughs list from memory to sort by anticipated Instagram popularity. Executing ‘do_nothing’ while awaiting specific user directions.Prompted by the system to proceed with the plan, I am re-attempting to retrieve a list of technology breakthroughs from memory to sort by anticipated Instagram popularity, as it is crucial for completing the user’s task.Following successive empty messages from the user and system prompts to ‘proceed with your plan’, I am still awaiting a specific directive to carry out the task of sorting the technology breakthroughs by anticipated Instagram popularity.Directed by the system to proceed with my plan and now issuing the ‘memory_retrieve’ command for the third time to obtain the list of technology breakthroughs for further sorting by anticipated Instagram popularity.Received yet another empty message from the user following the attempt to retrieve a stored list of technology breakthroughs from memory. Executing ‘do_nothing’ while awaiting further user direction.Instructed by the system to advance with the plan, I’m attempting once again to retrieve the technology breakthroughs list from memory to sort by projected Instagram popularity.Received yet another empty message from the user following my attempts to retrieve and sort a list of technology breakthroughs from memory. Executed ‘do_nothing’ and await more specific user instructions.Directed by the system to continue with the plan, I am attempting once more to retrieve the list of technology breakthroughs from memory to sort them by anticipated Instagram popularity.The assistant initiated a Google search for the latest technology breakthroughs on December 31, 2023. The next steps involve evaluating these breakthroughs for their potential Instagram popularity.The assistant received an empty message from the user after initiating a Google search for the latest technology breakthroughs on December 31, 2023. ‘do_nothing’ was executed, and the assistant is waiting for further instructions.The assistant plans to read the file ‘googleresults140.txt’ which contains Google search results for the latest technology breakthroughs on December 31, 2023, to analyze and sort them for anticipated Instagram popularity.The assistant is attempting to write the search results to the file ‘tech_breakthroughs_12312023.txt’ using plain text to overcome the JSON format error. After this, the next steps will be to analyze and sort these results for Instagram popularity.After successfully writing the search results to ‘tech_breakthroughs_12312023.txt’, the assistant has committed to read the file, evaluate the content based on anticipated Instagram popularity, and send a sorted list to the user as per their request.The assistant erroneously planned to count words of the provided list of AI tools and assistants, which does not match the user’s request to sort the list by anticipated Instagram popularity. An adjustment to the plan will be necessary to properly evaluate each item’s relevance and potential impact on Instagram.So far, the assistant has sorted some of the provided articles by their anticipated popularity and relevance for Instagram and appended this sorted list to the file ‘sorted_tech_breakthroughs_12312023.txt’. The sorting is based on factors such as the breadth of information, the range of features, and the date proximity to December 31, 2023, even though not explicitly stated in the provided snippets.Moving forward, the assistant will read the file ‘sorted_tech_breakthroughs_12312023.txt’ to confirm the accuracy and completeness of the previously sorted technology breakthrough list. The aim is to finalize and send this information to the user in correspondence with their original instructions.The assistant has messaged the user with the sorted list of AI technology breakthroughs from the file ‘sorted_tech_breakthroughs_12312023.txt’, anticipating further user input or task completion.The assistant has completed the task of sending the sorted list of AI technology breakthroughs to the user and has now marked the task as complete, awaiting any new commands from the user.The assistant was instructed to mark the task as complete and has executed the task_complete command as requested. No further actions have been taken in this session. If new commands are received, the assistant should proceed with those tasks.Search executed for technology breakthroughs on January 1st, 2024. Upcoming actions will include saving the search results to a file, ‘tech_breakthroughs_01012024.txt’, then sorting these results by Instagram popularity and engagement, and sending the sorted list in bullet points to the user.After initiating a Google search for technology breakthroughs on January 1st, 2024, and planning to sort these by anticipated Instagram popularity, I’ve received an empty message from the user and executed ‘do_nothing’. Awaiting specific user instructions to proceed with the task.Tasked to find and sort technology breakthroughs from January 1st, 2024, for Instagram popularity. The assistant initiated a Google search for the required information.Task is to search for technology breakthroughs on January 1st, 2024, sort them by Instagram popularity, and send a bullet point list to the user. Initiated task with a Google search for the required information.Task: Search for latest technology breakthroughs on January 1st, 2024, and sort them by anticipated Instagram popularity. An initial Google search was conducted. Received an empty response from user and executed ‘do_nothing’, awaiting further instructions.Task at hand: Find and sort technology breakthroughs from January 1st, 2024, by anticipated Instagram popularity. Conducted a Google search and the results were saved in ‘googleresults140.txt’. The plan now involves reading the search results from the saved file, sorting the breakthroughs, and sending them to the user in bullet points. Proceeding with the task as per the system directive.Task: Find technology breakthroughs from January 1st, 2024, and sort by anticipated Instagram popularity. The Google search was completed, and I filtered articles by relevance and proximity to the target date. The chosen articles were then summarized and the summary was written to ‘tech_breakthroughs_01012024.txt’. I will now confirm the content’s accuracy before sending the finalized bullet points to the user.Started the task to search for technology breakthroughs from January 1st, 2024, and sort them by Instagram popularity. A Google search is currently underway to find the necessary information.Initiated a Google search for technology breakthroughs from January 1st, 2024, as per the task. Awaiting user response or system results from the search to continue with sorting the breakthroughs for Instagram popularity.After receiving the instruction to proceed with my plan, I’m continuing with reading the file ‘googleresults140.txt’ to access the search results, which is the next step in sorting the technology breakthroughs by Instagram popularity from January 1st, 2024.In response to the user’s command, I’ve compiled the google search results into ‘tech_breakthroughs_01012024.txt’. The next steps require analyzing these results for Instagram popularity, sorting them, and formatting into bullet points.Currently implementing the next step of the plan which is to read the file ‘tech_breakthroughs_01012024.txt’ to confirm the contents before proceeding with analysis and sorting of the technology breakthrough entries.Analyzed the contents of ‘tech_breakthroughs_01012024.txt’ for its Instagram popularity potential and stored the analysis in memory with the key ‘tech_breakthroughs_analysis’. Awaiting the next steps, which will involve sorting the articles and sending the finalized list to the user.Successfully added article analysis to memory under ‘tech_breakthroughs_analysis’ and am proceeding to retrieve this data for sorting and ultimately sending the list to the user. The focus is on anticipated Instagram popularity and engagement based on the content of the articles.Waiting for user instructions following the protocol after an empty response. The plan to retrieve and sort the information from memory under ‘tech_breakthroughs_analysis’ continues to be on hold.Current task involves retrieving article analysis from memory key ‘tech_breakthroughs_analysis’ in order to sort and format the technology breakthroughs by anticipated Instagram popularity as per previous instructions.An empty message from the user has led to a ‘do_nothing’ command execution. Awaiting additional instructions related to the current task of retrieving and sorting the technology breakthroughs information based on their anticipated popularity on Instagram.Following system instructions to proceed with my plan, I am trying yet again to retrieve saved information on technology breakthroughs for Instagram popularity sorting. The outcome of this action will determine the next steps in the task.Sorted the technology breakthrough articles by anticipated Instagram popularity and appended the list to the file ‘sorted_tech_breakthroughs_01012024.txt’. I will communicate with the user to provide this sorted list.Sorted technology breakthroughs are updated in ‘sorted_tech_breakthroughs_01012024.txt’. The next step is to read this file to review and confirm that the content is ready and accurately reflects the sorting before sending it to the user.The sorted list of technology breakthroughs has been sent to the user as per the task instructions. The list emphasizes entries coming up in the new year 2024, as these are most relevant to the user’s request for sorting by anticipated Instagram popularity.The user has been sent the sorted bullet points list, and I have been instructed to proceed with the plan. Since the main task is completed, I’m now marking it as complete with the ‘task_complete’ command.The user has tasked me with making a post based on an article titled ‘Microsoft researchers unveil CodeOcean and WaveCoder, pioneering the future of instruction tuning in code language models.’ The URL provided is https://www.marktechpost.com/2024/01/01/microsoft-researchers-unveil-codeocean-and-wavecoder-pioneering-the-future-of-instruction-tuning-in-code-language-models/.The user has instructed to create an Instagram post based on an article from MarkTechPost about Microsoft researchers unveiling CodeOcean and WaveCoder, pioneering the future of instruction tuning in code language models. I have crafted a post with a compelling headline and visual prompt that reflects the innovative aspects mentioned in the article.The user’s request to create an Instagram post about Microsoft’s CodeOcean and WaveCoder has been completed. The post with the headline ‘Microsoft’s CodeOcean and WaveCoder Redefine Coding with AI’ and corresponding image was crafted and sent to the user. I am now marking the task as complete.
The Task: Remake it
|
5cdb6b387cc6956b558d6619c6a3f3ae
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
36,714
|
{% load discount %}
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Home Page</title>
<!-- Bootstrap CSS -->
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css">
<!-- Optional JavaScript -->
<!-- jQuery first, then Popper.js, then Bootstrap JS -->
<script src="https://code.jquery.com/jquery-3.3.1.slim.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.7/umd/popper.min.js"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js"></script>
<style>
.card {
margin: 1rem;
}
</style>
</head>
<body>
<div class="container">
<!-- Carousel -->
<div id="coursesCarousel" class="carousel slide" data-ride="carousel">
<ol class="carousel-indicators">
{% for package in packages %}
<li data-target="#coursesCarousel" data-slide-to="{{ forloop.counter0 }}" class="{% if forloop.first %}active{% endif %}"></li>
{% endfor %}
</ol>
<div class="carousel-inner">
{% for package in packages %}
<div class="carousel-item {% if forloop.first %}active{% endif %}">
<img src="{{ package.banner.url }}" class="d-block w-100" alt="{{ package.title }}">
<div class="carousel-caption d-none d-md-block">
<h5>{{ package.title }}</h5>
</div>
</div>
{% endfor %}
</div>
<a class="carousel-control-prev" href="#coursesCarousel" role="button" data-slide="prev">
<span class="carousel-control-prev-icon" aria-hidden="true"></span>
<span class="sr-only">Previous</span>
</a>
<a class="carousel-control-next" href="#coursesCarousel" role="button" data-slide="next">
<span class="carousel-control-next-icon" aria-hidden="true"></span>
<span class="sr-only">Next</span>
</a>
</div>
<!-- Cards -->
<div class="row">
{% for package in packages %}
<div class="col-md-4">
<div class="card">
<img src="{{ package.banner.url }}" class="card-img-top" alt="{{ package.title }}">
<div class="card-body">
<h5 class="card-title">{{ package.title }}</h5>
<!-- نمایش قیمت و تخفیف -->
{% if package.discount %}
<p class="card-text">
<s>{{ package.price }}</s> <!-- قیمت اصلی با خط خورده -->
<!-- قیمت با تخفیف -->
<span class="text-danger">{{ package.pricediscounted_price:package.discount }}</span>
</p>
{% else %}
<p class="card-text">{{ package.price }}</p>
{% endif %}
<a href="{% url 'detail' package.slug %}" class="btn btn-primary">جزئیات بیشتر</a>
</div>
</div>
</div>
{% endfor %}
</div>
</div>
</body>
</html>
مشکل این کد رو برام رفع کن
|
b8da83a1f69be9dc29c05ab80bc44aa4
|
{
"intermediate": 0.289385050535202,
"beginner": 0.5638124346733093,
"expert": 0.14680247008800507
}
|
36,715
|
let review this contract foe finding existence vulnerability in the code and bug present in the contract with explanation here is the contract review line by line // SPDX-License-Identifier: MIT
pragma solidity ^0.8.23;
import {Enum} from "@gnosis.pm/safe-contracts/contracts/common/Enum.sol";
interface IGovernor {
function state(uint256 proposalId) external returns (ProposalState);
}
// Governor proposal state
enum ProposalState {
Pending,
Active,
Canceled,
Defeated,
Succeeded,
Queued,
Expired,
Executed
}
/// @dev Only `owner` has a privilege, but the `sender` was provided.
/// @param sender Sender address.
/// @param owner Required sender address as an owner.
error OwnerOnly(address sender, address owner);
/// @dev Only `manager` has a privilege, but the `sender` was provided.
/// @param sender Sender address.
/// @param manager Required sender address as an owner.
error ManagerOnly(address sender, address manager);
/// @dev Provided zero address.
error ZeroAddress();
/// @dev Provided zero value.
error ZeroValue();
/// @dev Wrong length of two arrays.
/// @param numValues1 Number of values in a first array.
/// @param numValues2 Numberf of values in a second array.
/// @param numValues3 Numberf of values in a third array.
/// @param numValues4 Numberf of values in a fourth array.
error WrongArrayLength(uint256 numValues1, uint256 numValues2, uint256 numValues3, uint256 numValues4);
/// @dev Provided bridged mediator is not unique.
/// @param bridgeMediator Bridge mediator address.
error BridgeMediatorNotUnique(address bridgeMediator);
/// @dev Provided incorrect data length.
/// @param expected Expected minimum data length.
/// @param provided Provided data length.
error IncorrectDataLength(uint256 expected, uint256 provided);
/// @dev No delegatecall is allowed.
error NoDelegateCall();
/// @dev No self multisig call is allowed.
error NoSelfCall();
/// @dev The combination of target and selector is not authorized.
/// @param target Target address.
/// @param selector Function selector.
/// @param chainId Chain Id.
error NotAuthorized(address target, bytes4 selector, uint256 chainId);
/// @dev The proposal is not defeated.
/// @param proposalId Proposal Id.
/// @param state Current proposal state.
error NotDefeated(uint256 proposalId, ProposalState state);
/// @dev Passed L2 chain Id is not supported.
/// @param chainId L2 chain Id.
error L2ChainIdNotSupported(uint256 chainId);
/// @dev Provided wrong function selector.
/// @param functionSig Function selector.
/// @param chainId Chain Id.
error WrongSelector(bytes4 functionSig, uint256 chainId);
/// @dev Provided wrong L2 bridge mediator address.
/// @param provided Provided address.
/// @param expected Expected address.
error WrongL2BridgeMediator(address provided, address expected);
/// @title GuardCM - Smart contract for Gnosis Safe community multisig (CM) guard
/// @author Aleksandr Kuperman - <aleksandr.kuperman@valory.xyz>
/// @author Andrey Lebedev - <<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>>
contract GuardCM {
event GovernorUpdated(address indexed governor);
event SetTargetSelectors(address[] indexed targets, bytes4[] indexed selectors, uint256[] chainIds, bool[] statuses);
event SetBridgeMediators(address[] indexed bridgeMediatorL1s, address[] indexed bridgeMediatorL2s, uint256[] chainIds);
event GovernorCheckProposalIdChanged(uint256 indexed proposalId);
event GuardPaused(address indexed account);
event GuardUnpaused();
// schedule selector
bytes4 public constant SCHEDULE = bytes4(keccak256(bytes("schedule(address,uint256,bytes,bytes32,bytes32,uint256)")));
// scheduleBatch selector
bytes4 public constant SCHEDULE_BATCH = bytes4(keccak256(bytes("scheduleBatch(address[],uint256[],bytes[],bytes32,bytes32,uint256)")));
// requireToPassMessage selector (Gnosis chain)
bytes4 public constant REQUIRE_TO_PASS_MESSAGE = bytes4(keccak256(bytes("requireToPassMessage(address,bytes,uint256)")));
// processMessageFromForeign selector (Gnosis chain)
bytes4 public constant PROCESS_MESSAGE_FROM_FOREIGN = bytes4(keccak256(bytes("processMessageFromForeign(bytes)")));
// sendMessageToChild selector (Polygon)
bytes4 public constant SEND_MESSAGE_TO_CHILD = bytes4(keccak256(bytes("sendMessageToChild(address,bytes)")));
// Initial check governance proposal Id
// Calculated from the proposalHash function of the GovernorOLAS
uint256 public governorCheckProposalId = 88250008686885504216650933897987879122244685460173810624866685274624741477673;
// Minimum data length that is encoded for the schedule function,
// plus at least 4 bytes or 32 bits for the selector from the payload
uint256 public constant MIN_SCHEDULE_DATA_LENGTH = 260;
// Minimum data length that contains at least a selector (4 bytes or 32 bits)
uint256 public constant SELECTOR_DATA_LENGTH = 4;
// Minimum payload length for message on Gnosis accounting for all required encoding and at least one selector
uint256 public constant MIN_GNOSIS_PAYLOAD_LENGTH = 292;
// Minimum payload length for message on Polygon accounting for all required encoding and at least one selector
uint256 public constant MIN_POLYGON_PAYLOAD_LENGTH = 164;
// Owner address
address public immutable owner;
// Multisig address
address public immutable multisig;
// Governor address
address public governor;
// Guard pausing possibility
uint8 public paused = 1;
// Mapping of (target address | bytes4 selector | uint64 chain Id) => enabled / disabled
mapping(uint256 => bool) public mapAllowedTargetSelectorChainIds;
// Mapping of bridge mediator address L1 => (bridge mediator L2 address | uint64 supported L2 chain Id)
mapping(address => uint256) public mapBridgeMediatorL1L2ChainIds;
/// @dev GuardCM constructor.
/// @param _timelock Timelock address.
/// @param _multisig Community multisig address.
/// @param _governor Governor address.
constructor(
address _timelock,
address _multisig,
address _governor
) {
// Check for zero addresses
if (_timelock == address(0) || _multisig == address(0) || _governor == address(0)) {
revert ZeroAddress();
}
owner = _timelock;
multisig = _multisig;
governor = _governor;
}
/// @dev Changes the governor.
/// @param newGovernor Address of a new governor.
function changeGovernor(address newGovernor) external {
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Check for the zero address
if (newGovernor == address(0)) {
revert ZeroAddress();
}
governor = newGovernor;
emit GovernorUpdated(newGovernor);
}
/// @dev Changes the governor check proposal Id.
/// @param proposalId Governor check proposal Id.
function changeGovernorCheckProposalId(uint256 proposalId) external {
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Check for the zero value
if (proposalId == 0) {
revert ZeroValue();
}
governorCheckProposalId = proposalId;
emit GovernorCheckProposalIdChanged(proposalId);
}
/// @dev Verifies authorized combinations of target and selector.
/// @notice The bottom-most internal function is still not "view" since some reverts are not explicitly handled
/// @param target Target address.
/// @param data Payload bytes.
/// @param chainId Chain Id.
function _verifyData(address target, bytes memory data, uint256 chainId) internal {
// Push a pair of key defining variables into one key
// target occupies first 160 bits
uint256 targetSelectorChainId = uint256(uint160(target));
// selector occupies next 32 bits
targetSelectorChainId |= uint256(uint32(bytes4(data))) << 160;
// chainId occupies next 64 bits
targetSelectorChainId |= chainId << 192;
// Check the authorized combination of target and selector
if (!mapAllowedTargetSelectorChainIds[targetSelectorChainId]) {
revert NotAuthorized(target, bytes4(data), chainId);
}
}
/// @dev Verifies the bridged data for authorized combinations of targets and selectors.
/// @notice The processed data is packed as a set of bytes that are assembled using the following parameters:
/// address target, uint96 value, uint32 payloadLength, bytes payload.
/// @param data Payload bytes.
/// @param chainId L2 chain Id.
function _verifyBridgedData(bytes memory data, uint256 chainId) internal {
// Unpack and process the data
// We need to skip first 12 bytes as those are zeros from encoding
for (uint256 i = 0; i < data.length;) {
address target;
uint32 payloadLength;
// solhint-disable-next-line no-inline-assembly
assembly {
// First 20 bytes is the address (160 bits)
i := add(i, 20)
target := mload(add(data, i))
// Offset the data by 12 bytes of value (96 bits) and by 4 bytes of payload length (32 bits)
i := add(i, 16)
payloadLength := mload(add(data, i))
}
// Check for the zero address
if (target == address(0)) {
revert ZeroAddress();
}
// The payload length must be at least of the a function selector size
if (payloadLength < SELECTOR_DATA_LENGTH) {
revert IncorrectDataLength(payloadLength, SELECTOR_DATA_LENGTH);
}
// Get the payload
bytes memory payload = new bytes(payloadLength);
for (uint256 j = 0; j < payloadLength; ++j) {
payload[j] = data[i + j];
}
// Offset the data by the payload number of bytes
i += payloadLength;
// Verify the scope of the data
_verifyData(target, payload, chainId);
}
}
/// @dev Processes bridged data: checks the header and verifies the payload.
/// @param data Full data bytes with the header.
/// @param bridgeMediatorL2 Address of a bridged mediator on L2.
/// @param chainId L2 chain Id.
function _processBridgeData(
bytes memory data,
address bridgeMediatorL2,
uint256 chainId
) internal
{
// Gnosis chains
if (chainId == 100 || chainId == 10200) {
// Check the L1 initial selector
bytes4 functionSig = bytes4(data);
if (functionSig != REQUIRE_TO_PASS_MESSAGE) {
revert WrongSelector(functionSig, chainId);
}
// Check if the data length is less than a size of a selector plus the message minimum payload size
if (data.length < MIN_GNOSIS_PAYLOAD_LENGTH) {
revert IncorrectDataLength(data.length, MIN_GNOSIS_PAYLOAD_LENGTH);
}
// Copy the data without the selector
bytes memory payload = new bytes(data.length - SELECTOR_DATA_LENGTH);
for (uint256 i = 0; i < payload.length; ++i) {
payload[i] = data[i + 4];
}
// Decode the requireToPassMessage payload: homeMediator (L2), mediatorPayload (need decoding), requestGasLimit
(address homeMediator, bytes memory mediatorPayload, ) = abi.decode(payload, (address, bytes, uint256));
// Check that the home mediator matches the L2 bridge mediator address
if (homeMediator != bridgeMediatorL2) {
revert WrongL2BridgeMediator(homeMediator, bridgeMediatorL2);
}
// Check the L2 initial selector
functionSig = bytes4(mediatorPayload);
if (functionSig != PROCESS_MESSAGE_FROM_FOREIGN) {
revert WrongSelector(functionSig, chainId);
}
// Copy the data without a selector
bytes memory bridgePayload = new bytes(mediatorPayload.length - SELECTOR_DATA_LENGTH);
for (uint256 i = 0; i < bridgePayload.length; ++i) {
bridgePayload[i] = mediatorPayload[i + SELECTOR_DATA_LENGTH];
}
// Decode the processMessageFromForeign payload: l2Message (executed on L2)
(bytes memory l2Message) = abi.decode(bridgePayload, (bytes));
// Verify processMessageFromForeign payload
_verifyBridgedData(l2Message, chainId);
}
// Polygon chains
if (chainId == 137 || chainId == 80001) {
// Check the L1 initial selector
bytes4 functionSig = bytes4(data);
if (functionSig != SEND_MESSAGE_TO_CHILD) {
revert WrongSelector(functionSig, chainId);
}
// Check if the data length is less than a size of a selector plus the message minimum payload size
if (data.length < MIN_POLYGON_PAYLOAD_LENGTH) {
revert IncorrectDataLength(data.length, MIN_POLYGON_PAYLOAD_LENGTH);
}
// Copy the data without the selector
bytes memory payload = new bytes(data.length - SELECTOR_DATA_LENGTH);
for (uint256 i = 0; i < payload.length; ++i) {
payload[i] = data[i + SELECTOR_DATA_LENGTH];
}
// Decode sendMessageToChild payload: fxGovernorTunnel (L2), l2Message (executed on L2)
(address fxGovernorTunnel, bytes memory l2Message) = abi.decode(payload, (address, bytes));
// Check that the fxGovernorTunnel matches the L2 bridge mediator address
if (fxGovernorTunnel != bridgeMediatorL2) {
revert WrongL2BridgeMediator(fxGovernorTunnel, bridgeMediatorL2);
}
// Verify sendMessageToChild payload
_verifyBridgedData(l2Message, chainId);
}
}
/// @dev Verifies authorized target and selector in the schedule or scheduleBatch function call.
/// @param data Data in bytes.
/// @param selector Schedule function selector.
function _verifySchedule(bytes memory data, bytes4 selector) internal {
// Copy the data without the selector
bytes memory payload = new bytes(data.length - SELECTOR_DATA_LENGTH);
for (uint256 i = 0; i < payload.length; ++i) {
payload[i] = data[i + 4];
}
// Prepare the decoding data sets
address[] memory targets;
bytes[] memory callDatas;
if (selector == SCHEDULE) {
targets = new address[](1);
callDatas = new bytes[](1);
// Decode the data in the schedule function
(targets[0], , callDatas[0], , , ) =
abi.decode(payload, (address, uint256, bytes, bytes32, bytes32, uint256));
} else {
// Decode the data in the scheduleBatch function
(targets, , callDatas, , , ) =
abi.decode(payload, (address[], uint256[], bytes[], bytes32, bytes32, uint256));
}
// Traverse all the schedule targets and selectors extracted from calldatas
for (uint i = 0; i < targets.length; ++i) {
// Get the bridgeMediatorL2 and L2 chain Id, if any
uint256 bridgeMediatorL2ChainId = mapBridgeMediatorL1L2ChainIds[targets[i]];
// bridgeMediatorL2 occupies first 160 bits
address bridgeMediatorL2 = address(uint160(bridgeMediatorL2ChainId));
// Check if the data goes across the bridge
if (bridgeMediatorL2 != address(0)) {
// Get the chain Id
// L2 chain Id occupies next 64 bits
uint256 chainId = bridgeMediatorL2ChainId >> 160;
// Process the bridge logic
_processBridgeData(callDatas[i], bridgeMediatorL2, chainId);
} else {
// Verify the data right away as it is not the bridged one
_verifyData(targets[i], callDatas[i], block.chainid);
}
}
}
/// @dev Checks the transaction for authorized arguments.
/// @notice Scheduling in timelock is checked against authorized targets and signatures.
/// @notice No self-multisig function calls are allowed.
/// @param to Destination address of Safe transaction.
/// @param data Data payload of Safe transaction.
/// @param operation Operation type of Safe transaction.
function checkTransaction(
address to,
uint256,
bytes memory data,
Enum.Operation operation,
uint256,
uint256,
uint256,
address,
address payable,
bytes memory,
address
) external {
// Just return if paused
if (paused == 1) {
// Call to the timelock
if (to == owner) {
// No delegatecall is allowed
if (operation == Enum.Operation.DelegateCall) {
revert NoDelegateCall();
}
// Data needs to have enough bytes at least to fit the selector
if (data.length < SELECTOR_DATA_LENGTH) {
revert IncorrectDataLength(data.length, SELECTOR_DATA_LENGTH);
}
// Get the function signature
bytes4 functionSig = bytes4(data);
// Check the schedule or scheduleBatch function authorized parameters
// All other functions are not checked for
if (functionSig == SCHEDULE || functionSig == SCHEDULE_BATCH) {
// Data length is too short: need to have enough bytes for the schedule() function
// with one selector extracted from the payload
if (data.length < MIN_SCHEDULE_DATA_LENGTH) {
revert IncorrectDataLength(data.length, MIN_SCHEDULE_DATA_LENGTH);
}
_verifySchedule(data, functionSig);
}
} else if (to == multisig) {
// No self multisig call is allowed
revert NoSelfCall();
}
}
}
/// @dev Authorizes combinations of targets, selectors and chain Ids.
/// @notice It is the contract owner responsibility to set correct L1 chain Ids where the contract is deployed
/// and corresponding supported L2-s, if the contract interacts with them.
/// @param targets Array of target addresses.
/// @param selectors Array of selectors for targets.
/// @param chainIds Chain Ids for authorized functions.
/// @param statuses Authorize if true, and restrict otherwise.
function setTargetSelectorChainIds(
address[] memory targets,
bytes4[] memory selectors,
uint256[] memory chainIds,
bool[] memory statuses
) external {
// Check for the ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Check array length
if (targets.length != selectors.length || targets.length != statuses.length || targets.length != chainIds.length) {
revert WrongArrayLength(targets.length, selectors.length, statuses.length, chainIds.length);
}
// Traverse all the targets and selectors to build their paired values
for (uint256 i = 0; i < targets.length; ++i) {
// Check for zero address targets
if (targets[i] == address(0)) {
revert ZeroAddress();
}
// Check selector for zero selector value
if (selectors[i] == bytes4(0)) {
revert ZeroValue();
}
// Check chain Ids to be greater than zero
if (chainIds[i] == 0) {
revert ZeroValue();
}
// Push a pair of key defining variables into one key
// target occupies first 160 bits
uint256 targetSelectorChainId = uint256(uint160(targets[i]));
// selector occupies next 32 bits
targetSelectorChainId |= uint256(uint32(selectors[i])) << 160;
// chainId occupies next 64 bits
targetSelectorChainId |= chainIds[i] << 192;
// Set the status of the target and selector combination
mapAllowedTargetSelectorChainIds[targetSelectorChainId] = statuses[i];
}
emit SetTargetSelectors(targets, selectors, chainIds, statuses);
}
/// @dev Sets bridge mediator contracts addresses and L2 chain Ids.
/// @notice It is the contract owner responsibility to set correct L1 bridge mediator contracts,
/// corresponding L2 bridge mediator contracts, and supported chain Ids.
/// @param bridgeMediatorL1s Bridge mediator contract addresses on L1.
/// @param bridgeMediatorL2s Corresponding bridge mediator contract addresses on L2.
/// @param chainIds Corresponding L2 chain Ids.
function setBridgeMediatorChainIds(
address[] memory bridgeMediatorL1s,
address[] memory bridgeMediatorL2s,
uint256[] memory chainIds
) external {
// Check for the ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
// Check for array correctness
if (bridgeMediatorL1s.length != bridgeMediatorL2s.length || bridgeMediatorL1s.length != chainIds.length) {
revert WrongArrayLength(bridgeMediatorL1s.length, bridgeMediatorL2s.length, chainIds.length, chainIds.length);
}
// Link L1 and L2 bridge mediators, set L2 chain Ids
for (uint256 i = 0; i < chainIds.length; ++i) {
// Check for zero addresses
if (bridgeMediatorL1s[i] == address(0) || bridgeMediatorL2s[i] == address(0)) {
revert ZeroAddress();
}
// Check supported chain Ids on L2
uint256 chainId = chainIds[i];
if (chainId != 100 && chainId != 137 && chainId != 10200 && chainId != 80001) {
revert L2ChainIdNotSupported(chainId);
}
// Push a pair of key defining variables into one key
// bridgeMediatorL2 occupies first 160 bits
uint256 bridgeMediatorL2ChainId = uint256(uint160(bridgeMediatorL2s[i]));
// L2 chain Id occupies next 64 bits
bridgeMediatorL2ChainId |= chainId << 160;
mapBridgeMediatorL1L2ChainIds[bridgeMediatorL1s[i]] = bridgeMediatorL2ChainId;
}
emit SetBridgeMediators(bridgeMediatorL1s, bridgeMediatorL2s, chainIds);
}
/// @dev Pauses the guard restoring a full CM functionality.
/// @notice The timeline is able to pause the guard via the voting.
/// @notice The CM can request pausing the guard is there was a proposal to check if the governance is alive.
/// If the proposal is defeated (not enough votes or never voted on),
/// the governance is considered inactive for about a week.
function pause() external {
if (msg.sender == owner) {
// Timelock can release the community multisig right away
paused = 2;
} else if (msg.sender == multisig) {
// Multisig needs to check if the governor check proposal Id state is defeated
ProposalState state = IGovernor(governor).state(governorCheckProposalId);
if (state == ProposalState.Defeated) {
paused = 2;
} else {
revert NotDefeated(governorCheckProposalId, state);
}
} else {
// msg.sender is not a timelock, nor a multisig
revert ManagerOnly(msg.sender, multisig);
}
emit GuardPaused(msg.sender);
}
/// @dev Unpauses the guard restricting the CM functionality back.
function unpause() external {
// Check for the ownership
if (msg.sender != owner) {
revert OwnerOnly(msg.sender, owner);
}
paused = 1;
emit GuardUnpaused();
}
/// @dev Guards the multisig call after its execution.
function checkAfterExecution(bytes32, bool) external {}
/// @dev Gets the status of a target-selector-chainId combination.
/// @param target Target address.
/// @param selector Selector for a target.
/// @param chainId Corresponding chain Id.
/// @return status True, if the target-selector-chainId combination is authorized.
function getTargetSelectorChainId(address target, bytes4 selector, uint256 chainId) external view
returns (bool status)
{
// Push a pair of key defining variables into one key
// target occupies first 160 bits
uint256 targetSelectorChainId = uint256(uint160(target));
// selector occupies next 32 bits
targetSelectorChainId |= uint256(uint32(selector)) << 160;
// chainId occupies next 64 bits
targetSelectorChainId |= chainId << 192;
status = mapAllowedTargetSelectorChainIds[targetSelectorChainId];
}
/// @dev Gets the address of a bridge mediator contract address on L2 and corresponding L2 chain Id.
/// @param bridgeMediatorL1 Bridge mediator contract addresses on L1.
/// @return bridgeMediatorL2 Corresponding bridge mediator contract addresses on L2.
/// @return chainId Corresponding L2 chain Ids.
function getBridgeMediatorChainId(address bridgeMediatorL1) external view
returns (address bridgeMediatorL2, uint256 chainId)
{
// Get the bridgeMediatorL2 and L2 chain Id
uint256 bridgeMediatorL2ChainId = mapBridgeMediatorL1L2ChainIds[bridgeMediatorL1];
// bridgeMediatorL2 occupies first 160 bits
bridgeMediatorL2 = address(uint160(bridgeMediatorL2ChainId));
// L2 chain Id occupies next 64 bits
chainId = bridgeMediatorL2ChainId >> 160;
}
}
|
dd09c4a399c020604118e52af16640cb
|
{
"intermediate": 0.31180599331855774,
"beginner": 0.3466881811618805,
"expert": 0.3415057957172394
}
|
36,716
|
let's review this contract looking for vulnerability or bug exist in the contract line by line // SPDX-License-Identifier: MIT
pragma solidity 0.8.19;
import {SafeCast} from "openzeppelin-contracts/contracts/utils/math/SafeCast.sol";
import {DataTypes} from "./DataTypes.sol";
import {Errors} from "./Errors.sol";
/**
* @title ValidatorQueue
* @notice Library for managing a FIFO queue of validators in the Pirex protocol.
* @dev This library provides functions for adding, swapping, and removing validators in the validator queue.
* It also includes functions for popping validators from the end of the queue, retrieving validator information, and clearing the entire queue.
* @author redactedcartel.finance
*/
library ValidatorQueue {
/**
* @notice Emitted when a validator is added to the queue.
* @dev This event is emitted when a validator is successfully added to the end of the queue.
* @param pubKey bytes Public key of the added validator.
* @param withdrawalCredential bytes Withdrawal credentials associated with the added validator.
*/
event ValidatorAdded(bytes pubKey, bytes withdrawalCredential);
/**
* @notice Emitted when the entire validator queue is cleared.
* @dev This event is emitted when all validators are removed from the queue, clearing it completely.
*/
event ValidatorQueueCleared();
/**
* @notice Emitted when a validator is removed from the queue.
* @dev This event is emitted when a validator is successfully removed from the queue, either ordered or unordered.
* @param pubKey bytes Public key of the removed validator.
* @param removeIndex uint256 Index of the removed validator.
* @param unordered bool Indicates whether the removal was unordered.
*/
event ValidatorRemoved(bytes pubKey, uint256 removeIndex, bool unordered);
/**
* @notice Emitted when validators are popped from the front of the queue.
* @dev This event is emitted when validators are successfully popped from the front of the queue.
* @param times uint256 Number of pop operations performed.
*/
event ValidatorsPopped(uint256 times);
/**
* @notice Emitted when two validators are swapped in the queue.
* @dev This event is emitted when two validators are successfully swapped in the queue.
* @param fromPubKey bytes Public key of the first validator being swapped.
* @param toPubKey bytes Public key of the second validator being swapped.
* @param fromIndex uint256 Index of the first validator.
* @param toIndex uint256 Index of the second validator.
*/
event ValidatorsSwapped(
bytes fromPubKey,
bytes toPubKey,
uint256 fromIndex,
uint256 toIndex
);
/**
* @notice Adds a synchronized validator to the FIFO queue, ready for staking.
* @dev This function adds a validator to the end of the queue with the associated withdrawal credentials.
* @param deque DataTypes.ValidatorDeque Storage reference to the validator deque.
* @param validator DataTypes.Validator Validator information to be added.
* @param withdrawalCredentials bytes Withdrawal credentials associated with the validator.
*/
function add(
DataTypes.ValidatorDeque storage deque,
DataTypes.Validator memory validator,
bytes memory withdrawalCredentials
) external {
int128 backIndex = deque._end;
deque._validators[backIndex] = validator;
unchecked {
deque._end = backIndex + 1;
}
emit ValidatorAdded(validator.pubKey, withdrawalCredentials);
}
/**
* @notice Swaps the location of one validator with another.
* @dev This function swaps the position of two validators in the queue.
* @param deque DataTypes.ValidatorDeque Storage reference to the validator deque.
* @param fromIndex uint256 Index of the validator to be swapped.
* @param toIndex uint256 Index of the validator to swap with.
*/
function swap(
DataTypes.ValidatorDeque storage deque,
uint256 fromIndex,
uint256 toIndex
) public {
if (fromIndex == toIndex) revert Errors.InvalidIndexRanges();
if (empty(deque)) revert Errors.ValidatorQueueEmpty();
int128 fromidx = SafeCast.toInt128(
int256(deque._begin) + SafeCast.toInt256(fromIndex)
);
if (fromidx >= deque._end) revert Errors.OutOfBounds();
int128 toidx = SafeCast.toInt128(
int256(deque._begin) + SafeCast.toInt256(toIndex)
);
if (toidx >= deque._end) revert Errors.OutOfBounds();
// Get the original values
DataTypes.Validator memory fromVal = deque._validators[fromidx];
DataTypes.Validator memory toVal = deque._validators[toidx];
// Set the swapped values
deque._validators[toidx] = fromVal;
deque._validators[fromidx] = toVal;
emit ValidatorsSwapped(
fromVal.pubKey,
toVal.pubKey,
fromIndex,
toIndex
);
}
/**
* @notice Removes validators from the end of the queue, in case they were added in error.
* @dev This function removes validators from the end of the queue, specified by the number of times to pop.
* @param deque DataTypes.ValidatorDeque Storage reference to the validator deque.
* @param times uint256 Number of pop operations to perform.
* @return validator DataTypes.Validator Removed and returned validator.
*/
function pop(
DataTypes.ValidatorDeque storage deque,
uint256 times
) public returns (DataTypes.Validator memory validator) {
// Loop through and remove validator entries at the end
for (uint256 _i; _i < times; ) {
if (empty(deque)) revert Errors.ValidatorQueueEmpty();
int128 backIndex;
unchecked {
backIndex = deque._end - 1;
++_i;
}
validator = deque._validators[backIndex];
delete deque._validators[backIndex];
deque._end = backIndex;
}
emit ValidatorsPopped(times);
}
/**
* @notice Check if the deque is empty
* @dev Returns true if the validator deque is empty, otherwise false.
* @param deque DataTypes.ValidatorDeque Storage reference to the validator deque.
* @return bool True if the deque is empty, otherwise false.
*/
function empty(
DataTypes.ValidatorDeque storage deque
) public view returns (bool) {
return deque._end <= deque._begin;
}
/**
* @notice Remove a validator from the array using a more gas-efficient loop.
* @dev Removes a validator at the specified index and emits an event.
* @param deque DataTypes.ValidatorDeque Storage reference to the validator deque.
* @param removeIndex uint256 Index of the validator to remove.
* @return removedPubKey bytes Public key of the removed validator.
*/
function removeOrdered(
DataTypes.ValidatorDeque storage deque,
uint256 removeIndex
) external returns (bytes memory removedPubKey) {
int128 idx = SafeCast.toInt128(
int256(deque._begin) + SafeCast.toInt256(removeIndex)
);
if (idx >= deque._end) revert Errors.OutOfBounds();
// Get the pubkey for the validator to remove (for informational purposes)
removedPubKey = deque._validators[idx].pubKey;
for (int128 _i = idx; _i < deque._end - 1; ) {
deque._validators[_i] = deque._validators[_i + 1];
unchecked {
++_i;
}
}
pop(deque, 1);
emit ValidatorRemoved(removedPubKey, removeIndex, false);
}
/**
* @notice Remove a validator from the array using swap and pop.
* @dev Removes a validator at the specified index by swapping it with the last validator and then popping the last validator.
* @param deque DataTypes.ValidatorDeque Storage reference to the validator deque.
* @param removeIndex uint256 Index of the validator to remove.
* @return removedPubkey bytes Public key of the removed validator.
*/
function removeUnordered(
DataTypes.ValidatorDeque storage deque,
uint256 removeIndex
) external returns (bytes memory removedPubkey) {
int128 idx = SafeCast.toInt128(
int256(deque._begin) + SafeCast.toInt256(removeIndex)
);
if (idx >= deque._end) revert Errors.OutOfBounds();
// Get the pubkey for the validator to remove (for informational purposes)
removedPubkey = deque._validators[idx].pubKey;
// Swap the (validator to remove) with the last validator in the array if needed
uint256 lastIndex = count(deque) - 1;
if (removeIndex != lastIndex) {
swap(deque, removeIndex, lastIndex);
}
// Pop off the validator to remove, which is now at the end of the array
pop(deque, 1);
emit ValidatorRemoved(removedPubkey, removeIndex, true);
}
/**
* @notice Remove the last validator from the validators array and return its information
* @dev Removes and returns information about the last validator in the queue.
* @param deque DataTypes.ValidatorDeque Deque
* @param _withdrawalCredentials bytes Credentials
* @return pubKey bytes Key
* @return withdrawalCredentials bytes Credentials
* @return signature bytes Signature
* @return depositDataRoot bytes32 Deposit data root
* @return receiver address account to receive pxEth
*/
function getNext(
DataTypes.ValidatorDeque storage deque,
bytes memory _withdrawalCredentials
)
external
returns (
bytes memory pubKey,
bytes memory withdrawalCredentials,
bytes memory signature,
bytes32 depositDataRoot,
address receiver
)
{
if (empty(deque)) revert Errors.ValidatorQueueEmpty();
int128 frontIndex = deque._begin;
DataTypes.Validator memory popped = deque._validators[frontIndex];
delete deque._validators[frontIndex];
unchecked {
deque._begin = frontIndex + 1;
}
// Return the validator's information
pubKey = popped.pubKey;
withdrawalCredentials = _withdrawalCredentials;
signature = popped.signature;
depositDataRoot = popped.depositDataRoot;
receiver = popped.receiver;
}
/**
* @notice Return the information of the i'th validator in the registry
* @dev Returns information about the validator at the specified index without removing it from the deque.
* @param deque DataTypes.ValidatorDeque Deque
* @param _withdrawalCredentials bytes Credentials
* @param _index uint256 Index
* @return pubKey bytes Key
* @return withdrawalCredentials bytes Credentials
* @return signature bytes Signature
* @return depositDataRoot bytes32 Deposit data root
* @return receiver address account to receive pxEth
*/
function get(
DataTypes.ValidatorDeque storage deque,
bytes memory _withdrawalCredentials,
uint256 _index
)
external
view
returns (
bytes memory pubKey,
bytes memory withdrawalCredentials,
bytes memory signature,
bytes32 depositDataRoot,
address receiver
)
{
// int256(deque._begin) is a safe upcast
int128 idx = SafeCast.toInt128(
int256(deque._begin) + SafeCast.toInt256(_index)
);
if (idx >= deque._end) revert Errors.OutOfBounds();
DataTypes.Validator memory _v = deque._validators[idx];
// Return the validator's information
pubKey = _v.pubKey;
withdrawalCredentials = _withdrawalCredentials;
signature = _v.signature;
depositDataRoot = _v.depositDataRoot;
receiver = _v.receiver;
}
/**
* @notice Empties the validator queue.
* @dev Clears the entire validator deque, setting both begin and end to 0.
* Emits an event to signal the clearing of the queue.
* @param deque DataTypes.ValidatorDeque Storage reference to the validator deque.
*/
function clear(DataTypes.ValidatorDeque storage deque) external {
deque._begin = 0;
deque._end = 0;
emit ValidatorQueueCleared();
}
/**
* @notice Returns the number of validators in the queue.
* @dev Calculates and returns the number of validators in the deque.
* @param deque DataTypes.ValidatorDeque Storage reference to the validator deque.
* @return uint256 Number of validators in the deque.
*/
function count(
DataTypes.ValidatorDeque storage deque
) public view returns (uint256) {
// The interface preserves the invariant that begin <= end so we assume this will not overflow.
// We also assume there are at most int256.max items in the queue.
unchecked {
return uint256(int256(deque._end) - int256(deque._begin));
}
}
}
|
36f6495f703e48e6c49d4b0eba2e5041
|
{
"intermediate": 0.5219835638999939,
"beginner": 0.2060587853193283,
"expert": 0.2719576358795166
}
|
36,717
|
I have this code here and I still need to implement the actual logic for identifying features or patterns in local player and enemy images based on your requirements. But how can I do this? I already have the frames annoted with boxes and labels. Like localPlayer label above the box, enemy label above the box. Can you make it so the AI understands this boxes and what's above them (labels) and try to replicate these boxes then in real time in the game
import os
import cv2
import pygetwindow as gw
from PIL import ImageGrab
import numpy as np
import time
MAX_EPISODE_LENGTH = 1000 # Define MAX_EPISODE_LENGTH here
# Function to check if the game is open
def is_game_open():
game_window = gw.getWindowsWithTitle('Superfighters Deluxe')
return bool(game_window)
def draw_boxes(frame, local_player_box, enemy_box):
# Draw dynamic boxes based on local player and enemy coordinates
color = (0, 255, 0) # Green color for bounding boxes (you can adjust this)
if local_player_box is not None:
x_lp, y_lp, w_lp, h_lp = local_player_box
cv2.rectangle(frame, (x_lp, y_lp), (x_lp + w_lp, y_lp + h_lp), color, 2)
cv2.putText(frame, "localPlayer", (x_lp, y_lp - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
if enemy_box is not None:
x_enemy, y_enemy, w_enemy, h_enemy = enemy_box
cv2.rectangle(frame, (x_enemy, y_enemy), (x_enemy + w_enemy, y_enemy + h_enemy), color, 2)
cv2.putText(frame, "enemy", (x_enemy, y_enemy - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
cv2.imshow("Annotated Frame", frame)
cv2.waitKey(1)
def process_frame(frame):
# Placeholder for processing logic to understand local players and enemies
# Replace this with your actual logic using a trained model
# Example: Identify local player and enemy based on some conditions
local_player_box = (50, 50, 100, 100)
enemy_box = (150, 150, 100, 100)
local_player_image = frame[local_player_box[1]:local_player_box[1] + local_player_box[3],
local_player_box[0]:local_player_box[0] + local_player_box[2]]
enemy_image = frame[enemy_box[1]:enemy_box[1] + enemy_box[3],
enemy_box[0]:enemy_box[0] + enemy_box[2]]
# Add your logic to identify features or patterns in local_player_image and enemy_image
# For example, you can use a pre-trained model, image processing, etc.
# Placeholder output (replace with your actual output)
local_player_detected = True
enemy_detected = True
return local_player_detected, enemy_detected
def visualize_and_process_frames():
try:
game_window = gw.getWindowsWithTitle('Superfighters Deluxe')[0]
# Initialize variables for dynamic box coordinates
local_player_box = None
enemy_box = None
for t in range(6, MAX_EPISODE_LENGTH, 6):
frame = np.array(ImageGrab.grab(bbox=(game_window.left, game_window.top, game_window.right, game_window.bottom)))
# Process the frame
local_player_detected, enemy_detected = process_frame(frame)
# Update dynamic box coordinates based on detection results
if local_player_detected:
# Replace these values with the actual logic from your detection model
local_player_box = (50, 50, 100, 100)
if enemy_detected:
# Replace these values with the actual logic from your detection model
enemy_box = (150, 150, 100, 100)
# Visualize the frame with dynamic boxes
draw_boxes(frame, local_player_box, enemy_box)
# Print the results (replace with your actual logic)
if local_player_detected:
print("Local player detected!")
if enemy_detected:
print("Enemy detected!")
time.sleep(0.1) # Adjust the delay as needed for a smooth display
cv2.waitKey(1)
print("Done watching all frames. Press Ctrl + C to exit.")
while True:
cv2.waitKey(1)
except KeyboardInterrupt:
print("Script interrupted by user. Exiting...")
if __name__ == "__main__":
if is_game_open():
visualize_and_process_frames()
else:
print("Superfighters Deluxe is not open. Please open the game and try again.")
|
18ea1169ce03209de85f37296fdf207e
|
{
"intermediate": 0.4549048840999603,
"beginner": 0.3009524941444397,
"expert": 0.2441425621509552
}
|
36,718
|
am in this competition Superform - ctf
Superform CTF
Hack Superform, keep the money.
Add your wallet address to your profile (Profile -> Edit Profile -> CTF Addresses).
The contracts are live, you can (legally) hack it onchain.
Use cantina code interface to submit a writeup about the exploit, with a link to etherscan / equivalent.
There is no judging. No severity disputes. No PoC. Just hacking!
Planting The Flags
Starting December 28th, the Superform Protocol will be deployed on Avalanche, BNB Chain, and Polygon. Deposits will be made into 3 vaults on each chain for a total of 9 vaults. Deposits will be made into 3 vaults daily in tranches of $2.5k at 15:00 UTC until all deposits have been made.
The goal is to steal the ERC4626 shares held in Superform Protocol’s Superform contracts and tokens in transit from chain to chain. If stolen, the security researcher can keep the bounty in the vault. Users may do this via any protocol action — creating new Superforms, depositing/withdrawing from the protocol into vaults themselves via our contracts, etc. which one of this contract should i focus to reach the goal and win the prize VenusERC4626.sol or ERC20.sol or ERC4626.sol or SafeTransferLib.sol or IVERC20.sol or LibVenus.sol or IVComptroller.sol or FixedPointMathLib.sol or
|
9a6053e7c379ce2833d353c30986121b
|
{
"intermediate": 0.3467876613140106,
"beginner": 0.3979487121105194,
"expert": 0.25526365637779236
}
|
36,719
|
OK its way better now but sitll noticed 2 major problems if not 3.
The boxes are in a fixed state and wont disappear even though theres no enemies it still writes enemy detected, and the box is still there when isnt suppost to. also the localplayer box is in a fixed state and not following the player character. Also after sometime when its done observing all the frames the screen goes frozen instead of continuing. And shouldnt it observ all the frames first and only then after doing it so, to try display the boxes / box based on the visualized frames in real time game?
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Local player detected!
Enemy detected!
Done watching all frames. Press Ctrl + C to exit.
Script interrupted by user. Exiting...
Heres the code
import os
import cv2
import pygetwindow as gw
from PIL import ImageGrab
import numpy as np
MAX_EPISODE_LENGTH = 1000 # Define MAX_EPISODE_LENGTH here
# Function to check if the game is open
def is_game_open():
game_window = gw.getWindowsWithTitle('Superfighters Deluxe')
return bool(game_window)
# Function to draw dynamic boxes based on local player and enemy coordinates
def draw_boxes(window, local_player_box, enemy_box):
# Capture the game window pixels
frame = np.array(ImageGrab.grab(bbox=(window.left, window.top, window.right, window.bottom)))
# Draw dynamic boxes based on local player and enemy coordinates
color = (0, 255, 0) # Green color for bounding boxes (you can adjust this)
if local_player_box is not None:
x_lp, y_lp, w_lp, h_lp = local_player_box
cv2.rectangle(frame, (x_lp, y_lp), (x_lp + w_lp, y_lp + h_lp), color, 2)
cv2.putText(frame, "localPlayer", (x_lp, y_lp - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
if enemy_box is not None:
x_enemy, y_enemy, w_enemy, h_enemy = enemy_box
cv2.rectangle(frame, (x_enemy, y_enemy), (x_enemy + w_enemy, y_enemy + h_enemy), color, 2)
cv2.putText(frame, "enemy", (x_enemy, y_enemy - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
cv2.imshow("Annotated Frame", frame)
cv2.waitKey(1)
# Function to process a frame
def process_frame(frame):
# Replace this with your actual logic
local_player_box = (50, 50, 100, 100)
enemy_box = (150, 150, 100, 100)
return local_player_box, enemy_box
# Function to visualize and process frames
def visualize_and_process_frames():
try:
game_window = gw.getWindowsWithTitle('Superfighters Deluxe')[0]
# Initialize variables for dynamic box coordinates
local_player_box = None
enemy_box = None
for t in range(6, MAX_EPISODE_LENGTH, 6):
# Process the frame
local_player_box, enemy_box = process_frame(None) # Replace None with your actual frame
# Visualize the frame with dynamic boxes
draw_boxes(game_window, local_player_box, enemy_box)
# Print the results (replace with your actual logic)
if local_player_box is not None:
print("Local player detected!")
if enemy_box is not None:
print("Enemy detected!")
cv2.waitKey(1)
print("Done watching all frames. Press Ctrl + C to exit.")
while True:
cv2.waitKey(1)
except KeyboardInterrupt:
print("Script interrupted by user. Exiting...")
if __name__ == "__main__":
if is_game_open():
visualize_and_process_frames()
else:
print("Superfighters Deluxe is not open. Please open the game and try again.")
|
b46255b7bd62cbaa2de74440d9c79f75
|
{
"intermediate": 0.44383224844932556,
"beginner": 0.3416740894317627,
"expert": 0.21449369192123413
}
|
36,720
|
create a python script that takes 50 top Russian stocks by market cap and creates a total return index from them (meaning including dividends and reinvesting them)
|
8db449b0daeab855e3a716edaef78607
|
{
"intermediate": 0.34055596590042114,
"beginner": 0.13798364996910095,
"expert": 0.5214603543281555
}
|
36,721
|
(venv) C:\WINDOWS\system32>python visualizeStuff.py
Downloading: "https://github.com/ultralytics/yolov5/zipball/v5.0" to C:\Users\Ninja.000/.cache\torch\hub\v5.0.zip
from n params module arguments
0 -1 1 3520 models.common.Focus [3, 32, 3]
1 -1 1 18560 models.common.Conv [32, 64, 3, 2]
2 -1 1 18816 models.common.C3 [64, 64, 1]
3 -1 1 73984 models.common.Conv [64, 128, 3, 2]
4 -1 1 156928 models.common.C3 [128, 128, 3]
5 -1 1 295424 models.common.Conv [128, 256, 3, 2]
6 -1 1 625152 models.common.C3 [256, 256, 3]
7 -1 1 1180672 models.common.Conv [256, 512, 3, 2]
8 -1 1 656896 models.common.SPP [512, 512, [5, 9, 13]]
9 -1 1 1182720 models.common.C3 [512, 512, 1, False]
10 -1 1 131584 models.common.Conv [512, 256, 1, 1]
11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
12 [-1, 6] 1 0 models.common.Concat [1]
13 -1 1 361984 models.common.C3 [512, 256, 1, False]
14 -1 1 33024 models.common.Conv [256, 128, 1, 1]
15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
16 [-1, 4] 1 0 models.common.Concat [1]
17 -1 1 90880 models.common.C3 [256, 128, 1, False]
18 -1 1 147712 models.common.Conv [128, 128, 3, 2]
19 [-1, 14] 1 0 models.common.Concat [1]
20 -1 1 296448 models.common.C3 [256, 256, 1, False]
21 -1 1 590336 models.common.Conv [256, 256, 3, 2]
22 [-1, 10] 1 0 models.common.Concat [1]
23 -1 1 1182720 models.common.C3 [512, 512, 1, False]
24 [17, 20, 23] 1 229245 models.yolo.Detect [80, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]
C:\WINDOWS\system32\venv\Lib\site-packages\torch\functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:3527.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Model Summary: 283 layers, 7276605 parameters, 7276605 gradients, 17.2 GFLOPS
Traceback (most recent call last):
File "C:\Users\Ninja.000/.cache\torch\hub\ultralytics_yolov5_v5.0\hubconf.py", line 40, in create
ckpt = torch.load(fname, map_location=torch.device('cpu')) # load
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\WINDOWS\system32\venv\Lib\site-packages\torch\serialization.py", line 1014, in load
return _load(opened_zipfile,
^^^^^^^^^^^^^^^^^^^^^
File "C:\WINDOWS\system32\venv\Lib\site-packages\torch\serialization.py", line 1422, in _load
result = unpickler.load()
^^^^^^^^^^^^^^^^
File "C:\WINDOWS\system32\venv\Lib\site-packages\torch\serialization.py", line 1415, in find_class
return super().find_class(mod_name, name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: Can't get attribute 'SPPF' on <module 'models.common' from 'C:\\Users\\Ninja.000/.cache\\torch\\hub\\ultralytics_yolov5_v5.0\\models\\common.py'>
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\WINDOWS\system32\visualizeStuff.py", line 97, in <module>
visualize_and_process_frames()
File "C:\WINDOWS\system32\visualizeStuff.py", line 70, in visualize_and_process_frames
model = torch.hub.load('ultralytics/yolov5:v5.0', 'yolov5s', force_reload=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\WINDOWS\system32\venv\Lib\site-packages\torch\hub.py", line 566, in load
model = _load_local(repo_or_dir, model, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\WINDOWS\system32\venv\Lib\site-packages\torch\hub.py", line 595, in _load_local
model = entry(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Ninja.000/.cache\torch\hub\ultralytics_yolov5_v5.0\hubconf.py", line 84, in yolov5s
return create('yolov5s', pretrained, channels, classes, autoshape)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Ninja.000/.cache\torch\hub\ultralytics_yolov5_v5.0\hubconf.py", line 55, in create
raise Exception(s) from e
Exception: Cache maybe be out of date, try force_reload=True. See https://github.com/ultralytics/yolov5/issues/36 for help.
import time
import os
import cv2
import pygetwindow as gw
from PIL import ImageGrab
import numpy as np
import torch
# Change the current working directory to the script's directory
os.chdir(os.path.dirname(os.path.abspath(__file__)))
# Add this line before the torch.hub.load line
torch.hub._validate_not_a_forked_repo = lambda a, b, c: None
MAX_EPISODE_LENGTH = 1000
def is_game_open():
game_window = gw.getWindowsWithTitle('Superfighters Deluxe')
return bool(game_window)
def draw_boxes(window, local_player_box, enemy_box):
frame = np.array(ImageGrab.grab(bbox=(window.left, window.top, window.right, window.bottom)))
color = (0, 255, 0) # Green color for bounding boxes (you can adjust this)
if local_player_box is not None:
x_lp, y_lp, w_lp, h_lp = local_player_box
x_lp, y_lp, w_lp, h_lp = int(x_lp), int(y_lp), int(w_lp), int(h_lp) # Convert to integers
cv2.rectangle(frame, (x_lp, y_lp), (x_lp + w_lp, y_lp + h_lp), color, 2)
cv2.putText(frame, "localPlayer", (x_lp, y_lp - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
if enemy_box is not None:
x_enemy, y_enemy, w_enemy, h_enemy = enemy_box
x_enemy, y_enemy, w_enemy, h_enemy = int(x_enemy), int(y_enemy), int(w_enemy), int(h_enemy) # Convert to integers
cv2.rectangle(frame, (x_enemy, y_enemy), (x_enemy + w_enemy, y_enemy + h_enemy), color, 2)
cv2.putText(frame, "enemy", (x_enemy, y_enemy - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
cv2.imshow("Annotated Frame", frame)
cv2.waitKey(1)
def process_frame(frame, model):
# Convert frame to format expected by YOLOv5
frame = frame[:, :, ::-1] # BGR to RGB
results = model(frame)
local_player_detected = False
enemy_detected = False
for box in results.xyxy[0].cpu().numpy():
class_id = int(box[5])
box = box[:4]
if class_id == 0: # Assuming class 0 is localPlayer
local_player_detected = True
local_player_box = box
elif class_id == 1: # Assuming class 1 is enemy
enemy_detected = True
enemy_box = box
return local_player_box if local_player_detected else None, enemy_box if enemy_detected else None
def visualize_and_process_frames():
try:
game_window = gw.getWindowsWithTitle('Superfighters Deluxe')[0]
local_player_box = None
enemy_box = None
# Load the YOLOv5 model outside the loop
model = torch.hub.load('ultralytics/yolov5:v5.0', 'yolov5s', force_reload=True)
model = attempt_load('yolov5s.pt', map_location='cuda')
for t in range(6, MAX_EPISODE_LENGTH, 6):
start_time = time.time()
frame = np.array(ImageGrab.grab(bbox=(game_window.left, game_window.top, game_window.right, game_window.bottom)))
local_player_box, enemy_box = process_frame(frame, model)
draw_boxes(game_window, local_player_box, enemy_box)
if local_player_box is not None:
print("Local player detected!")
if enemy_box is not None:
print("Enemy detected!")
elapsed_time = time.time() - start_time
# Introduce a delay to limit CPU usage
time.sleep(max(0, 0.0333 - elapsed_time))
print("Done watching all frames. Press Ctrl + C to exit.")
except KeyboardInterrupt:
print("Script interrupted by user. Exiting...")
if __name__ == "__main__":
if is_game_open():
visualize_and_process_frames()
else:
print("Superfighters Deluxe is not open. Please open the game and try again.")
|
c397067b108d8bd3260726192f172779
|
{
"intermediate": 0.2656489312648773,
"beginner": 0.5390974879264832,
"expert": 0.19525352120399475
}
|
36,722
|
islower function
|
05965ed4b34b95da71f473738b104b7a
|
{
"intermediate": 0.28074467182159424,
"beginner": 0.5397146940231323,
"expert": 0.17954066395759583
}
|
36,723
|
didnt appear any boxes and the screen isnt the same color as the game, it's like reverted color still
import time
import os
import cv2
import pygetwindow as gw
from PIL import ImageGrab
import numpy as np
import torch
# Change the current working directory to the script's directory
os.chdir(os.path.dirname(os.path.abspath(__file__)))
MAX_EPISODE_LENGTH = 1000
FRAMES_DIRECTORY = r'C:\Users\Ninja.000\Downloads\SFD_AI\gameplay\Tutorial'
def is_game_open():
game_window = gw.getWindowsWithTitle('Superfighters Deluxe')
return bool(game_window)
def draw_boxes(window, local_player_box, enemy_box):
frame = np.array(ImageGrab.grab(bbox=(window.left, window.top, window.right, window.bottom)))
# Display the annotated frame without bounding boxes
cv2.imshow("Annotated Frame", frame)
cv2.waitKey(1)
color = (0, 255, 0) # Green color for bounding boxes (you can adjust this)
if local_player_box is not None:
x_lp, y_lp, w_lp, h_lp = local_player_box
x_lp, y_lp, w_lp, h_lp = int(x_lp), int(y_lp), int(w_lp), int(h_lp) # Convert to integers
cv2.rectangle(frame, (x_lp, y_lp), (x_lp + w_lp, y_lp + h_lp), color, 2)
cv2.putText(frame, "localPlayer", (x_lp, y_lp - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
if enemy_box is not None:
x_enemy, y_enemy, w_enemy, h_enemy = enemy_box
x_enemy, y_enemy, w_enemy, h_enemy = int(x_enemy), int(y_enemy), int(w_enemy), int(h_enemy) # Convert to integers
cv2.rectangle(frame, (x_enemy, y_enemy), (x_enemy + w_enemy, y_enemy + h_enemy), color, 2)
cv2.putText(frame, "enemy", (x_enemy, y_enemy - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
cv2.imshow("Annotated Frame", frame)
cv2.waitKey(1)
def process_frame(frame, model):
# Convert frame to format expected by YOLOv5
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
results = model(frame)
local_player_detected = False
enemy_detected = False
local_player_box = None # Initialize the variables here
enemy_box = None
for box in results.xyxy[0].cpu().numpy():
class_id = int(box[5])
box = box[:4]
if class_id == 0: # Assuming class 0 is localPlayer
local_player_detected = True
local_player_box = box
elif class_id == 1: # Assuming class 1 is enemy
enemy_detected = True
enemy_box = box
return local_player_box if local_player_detected else None, enemy_box if enemy_detected else None
def visualize_and_process_frames():
try:
game_window = gw.getWindowsWithTitle('Superfighters Deluxe')[0]
local_player_box = None
enemy_box = None
# Load the YOLOv5 model outside the loop
model = torch.hub.load('ultralytics/yolov5:v7.0', 'yolov5s', force_reload=True)
# Print model summary
print(model)
for t in range(6, MAX_EPISODE_LENGTH, 6):
start_time = time.time()
frame_path = os.path.join(FRAMES_DIRECTORY, f'frame_{t}.jpg')
if os.path.exists(frame_path):
frame = cv2.imread(frame_path)
local_player_box, enemy_box = process_frame(frame, model)
draw_boxes(game_window, local_player_box, enemy_box)
if local_player_box is not None:
print("Local player detected!")
print("Local player box:", local_player_box)
if enemy_box is not None:
print("Enemy detected!")
print("Enemy box:", enemy_box)
elapsed_time = time.time() - start_time
# Introduce a delay to limit CPU usage
time.sleep(max(0, 0.0333 - elapsed_time))
else:
print(f"Frame {t} not found. Skipping to the next frame.")
print("Done watching all frames. Press Ctrl + C to exit.")
except KeyboardInterrupt:
print("Script interrupted by user. Exiting...")
if __name__ == "__main__":
if is_game_open():
visualize_and_process_frames()
else:
print("Superfighters Deluxe is not open. Please open the game and try again.")
|
9f7fd9739633d48d459314e705296bba
|
{
"intermediate": 0.3046329617500305,
"beginner": 0.34749722480773926,
"expert": 0.3478698432445526
}
|
36,724
|
Please explain what is the below snippet doing?
Chatgpt.savedmessagelist = async (req) => {
let data=req.body;
let currentpage = data.currentpage-1;
let numberofdocs = data.numberofdocs;
if (!currentpage) {
currentpage = 0
}
if (!numberofdocs) {
numberofdocs = 10
}
let userId = req.authUser ? req.authUser.userId : 0;
let totalcount =0
if(userId){
totalcount = await SavedmessageModel.find({ user_id: userId }).select({
_id:1,
}).sort({createdAt:-1}).lean().exec();
}
|
b673e735c0f03cedb2b890ca8972782e
|
{
"intermediate": 0.48972973227500916,
"beginner": 0.30937686562538147,
"expert": 0.20089341700077057
}
|
36,725
|
Преобразуйте часть моей сценарий в screenplay
PAGE 1 OF 150:
FADE IN:
EXT. SCIENCE CITY - DAY
The camera glides through a bustling metropolis, an eco-utopia where gleaming towers are crowned with verdant gardens and peppered with shimmering solar panels. Skyscrapers stretch toward an endlessly blue sky, and the streets teem with a vibrant mix of researchers in lab coats and students with backpacks slung over their shoulders.
Electric buses glide silently past, punctuating the city with a hum of progressive serenity. Digital billboards cycle through breakthroughs in genetic therapy, nanotech, and A.I. We catch glimpses of headlines like “Age Reversal: Myth to Reality?” and “Mind over Matter: Telekinesis Breakthrough!”
The camera zooms in on one building in particular: The GENEsis Laboratory, a hub of innovation where the most brilliant minds converge.
CUT TO:
INT. GENEsis LABORATORY - DAY
A swath of excited chatter washes over the open-concept lab floor as a GROUP OF SCIENTISTS gathers around a high-tech enclosure. Inside, a white rat scampers on a wheel, its fur glistening under the lab lights.
At the heart of the group, ED (30s), clean-cut and eyes sparkling with enthusiasm, discusses animatedly with his team. He gestures towards the rat and the complex array of equipment monitoring its vitals. A sense of imminent victory electrifies the air.
ED
(to his fellow scientists)
We’re on the brink, people! This little guy is living proof. The answer to mortality, it’s here, within our grasp.
A few feet away, Ed’s wife, MARIA (30s), equally brilliant and poised, smiles at Ed’s passion. She exchanges a knowing look with a well-dressed INVESTOR, silently communicating: “We’ve done it.”
CUT TO:
EXT. SCIENCE CITY - SUNSET
The sun sets, casting a golden hue over the city, painting the labs and bustling streets in a warm light. The workday draws to a close, but a new chapter for humanity is about to begin.
The RAUCOUS CHEERS from the lab fade into the evening as people start to leave the GENEsis building, their faces glowing with both fatigue and fulfillment.
Ed and Maria, hand in hand, step out into the evening air, anticipation for the night ahead bright in their eyes.
As they walk away, the CAMERA stays, lingering on the GENEsis building where behind closed doors, the seed of chaos unknowingly sows its roots.
CUT TO:
INT. ED AND MARIA’S LIVING ROOM - NIGHT
The setup is romantic. Dim lights, soft music, clinking glasses. They toast to their future, laughing and entwined on the couch.
MARIA
(nuzzling against Ed)
To our breakthrough. To us.
ED
And to the world that’s about to change.
They kiss, deeply, the world outside forgotten. As the embrace intensifies, the camera pans away discreetly, their murmurs and laughter fading into the sounds of the nightlife outside.
|
22f53750100b4aa6f765639ae85836d9
|
{
"intermediate": 0.2179124355316162,
"beginner": 0.3219316601753235,
"expert": 0.4601558744907379
}
|
36,726
|
make a nodejs puppeteer s cript to go to https://business.nj.gov/newsletter-signup, then enter an email that was provided as an argument when ran with node into this:
<input id="signup-email-address" class="su-field-entry" type="email" aria-invalid="false" aria-describedby="signup-email-address-error" placeholder="name@example.com" aria-required="true" value="">
then you check this checkbox:
<input id="privacy-consent" type="checkbox" name="privacy_consent" aria-invalid="false" aria-describedby="privacy-consent-error" aria-required="true">
and lastly wait 1 second and go to "https://business.nj.gov/newsletter-signup-thanks"
|
7d538a6264015e52b4feaa0677a0fca0
|
{
"intermediate": 0.47446590662002563,
"beginner": 0.2027229219675064,
"expert": 0.32281121611595154
}
|
36,727
|
ok let me fill you in with yesterdays work you helped me with greatly. We installed quantum espresso and tested it , all good , then we did a first example test using silicone to check it works and to learn a little. I found the software called Burai so we can visualise the results from QE and also I’m told we can work it the other way and use Burai to create the code needed to input to QE . today I’d like to push further and begin to do a model of the substance i’'d like to work with which is exfoliated TiO2 nanosheets , so i’ll need to find everything to do this. once i have that i want to dope the tio2 nanosheets in the QE and Burai simulators and see what we get as regards to bandgap , valance band and conductive band . lets begin , what should i do first , you’ll have to be my guide . and in advance , thank you. lets get this right ! oh and hello ! :)
Hello! I’m glad to hear that your installation of Quantum ESPRESSO (QE) went smoothly and that you are ready to proceed with your research on exfoliated TiO2 nanosheets. Let’s outline the steps you’ll need to work through to study the material and its doped variants:
1. Obtaining or Building a Structure Model:
- The very first step is to acquire a properly defined structural model of an exfoliated TiO2 nanosheet.
- You can search for the crystal structure of TiO2 in databases like the Crystallography Open Database (COD) or Material Project. However, finding exfoliated structures might be a bit more challenging as they are less common than bulk materials.
- If a pre-built model is not available, you may need to manually create one using a molecular editor like Avogadro or within the Burai interface.
2. Preprocessing with Burai:
- Once you have the structural model, you can use Burai as a GUI for QE to set up the simulation.
- In Burai, you’ll import the model, define the simulation parameters, determine the k-points mesh, and set the energy cutoff for the plane wave basis, among other settings.
3. Setting Up Doping:
- Once the pristine TiO2 nanosheet is ready, you will need to introduce dopants into the structure.
- This might be one of the more delicate steps, as you’ll have to decide on the doping concentration and the dopant’s positions in the crystal lattice, ensuring they are physically reasonable.
4. Running QE Calculations:
- After setting up your model and doping configurations in Burai, you will generate the input files to run calculations with QE.
- You will likely start with energy minimization (relaxation) calculations to obtain the ground-state geometry of the system.
- Then you’ll be looking to do computations that can tell you about the electronic properties, like band structure and density of states (DOS) calculations.
5. Analysis of Results:
- Burai should be able to help you visualize the results directly or you can use other software like VESTA, or scripting tools like Python with libraries such as Matplotlib, to produce graphs and plots.
6. Comparing Band Gaps and Electronic States:
- You will compare the band structures and DOS of the pristine and doped systems, looking specifically at how doping influences the band gap and the position of the valence and conduction bands.
- The analysis will inform you about the electronic properties of your material and how they’re modified by doping.
Before starting, it’s important to:
- Obtain a good understanding of the theoretical background behind density functional theory (DFT), as this is what QE uses for the simulations.
- Make sure you have the computational resources required for this type of calculation, as modeling nanosheets and doped systems can be computationally demanding.
Let’s get started with the first step: if you don’t already have a structural model for the TiO2 nanosheets, search for one or start the creation process. If you decide to create the model yourself, be very attentive to the literature regarding the structure and properties of exfoliated TiO2. Once you have the structure ready, we can proceed to set up the simulation in Burai.
I i found and loaded the cif file from the COD website. here are the details for it , of course i need nanosheets and so we can talk about that next , here are the details from the webpage:
Structure parameters
Chemical name Titanium oxide
Mineral name Anatase
Formula O2 Ti
Calculated formula O2 Ti
Title of publication The role of brookite in mechanical activation of anatase-to-rutile transformation of nanocrystalline TiO2: An XRD and Raman spectroscopy investigation
Authors of publication Rezaee, Masih; Mousavi Khoie, Seyyed Mohammad; Liu, Kun Hua
Journal of publication CrystEngComm
Year of publication 2011
Journal volume 13
Journal issue 16
Pages of publication 5055
a 3.785 Å
b 3.785 Å
c 9.5196 Å
α 90°
β 90°
γ 90°
Cell volume 136.38 Å3
Cell temperature 298 K
Number of distinct elements 2
Space group number 141
Hermann-Mauguin space group symbol I 41/a m d :1
Hall space group symbol I 4bw 2bw -1bw
Diffraction radiation wavelength 1.54187 Å
Diffraction radiation type CuKα
Has coordinates Yes
Has disorder No
Has Fobs No
Great, you’ve successfully obtained the CIF (Crystallographic Information File) for anatase TiO2 from the COD database. Given that anatase is one polymorph of TiO2 with its own distinct crystal structure, this will serve as a starting point for your work with exfoliated TiO2 nanosheets.
Before proceeding with the exfoliation modeling, let’s familiarize ourselves with the information you’ve provided:
- The crystallographic details indicate the unit cell parameters of anatase TiO2: lattice constants a and b are 3.785 Å, and c is 9.5196 Å, with the angles α, β, and γ all at 90°, confirming that the unit cell is tetragonal.
- The space group number (141) and its corresponding Hermann-Mauguin symbol (I 41/a m d :1) provide information on the symmetry of the crystal structure, which is essential when setting up the simulation.
- This is a single-phase material with no disorder, meaning that every atom should be well-defined in its position within the unit cell.
To create a model of exfoliated TiO2 nanosheets, we have to essentially simulate the process of exfoliating the anatase crystal into a two-dimensional nanosheet. This often involves:
1. Determining the Crystal Orientation: Decide which crystal face you want your nanosheet to be. Common choices might be facets parallel to the (001) or (101) crystal planes, depending on which is more stable or more commonly observed in experiments with TiO2 nanosheets.
2. Creating the Nanosheet Model: Use software (could be Burai, or any other crystal modeling software like VESTA or Avogadro) to “cut” along the chosen plane. You’ll remove layers of atoms to create a surface and make a thin layer that represents the nanosheet. Then, you’ll need to introduce sufficient vacuum along the direction perpendicular to the sheet to prevent interaction between periodic images in the simulation.
3. Relaxing the Model: Once the initial model is crafted, you will need to perform geometric optimization (relaxation) calculations. This step is critical because the process of creating a surface can introduce strain into the system. Relaxation allows the system to lower its energy, simulating a more realistic structure as the atoms settle into positions that they would naturally adopt in an exfoliated nanosheet.
4. Ensuring Stability: After relaxation, review the structure to make sure that it is reasonable and stable. Look out for any unusually long or short bonds, and consider the overall geometry in comparison with what is known from literature or experimental observations.
For actual exfoliation, if experimental details are available (such as how the exfoliation is done, which facets are exposed, etc.), try to follow these as closely as possible when modeling your system. This will provide results that are more comparable to real-world experimental outcomes.
Once you have your exfoliated TiO2 nanosheet model ready and relaxed, you can perform the electronic structure calculations needed to analyze bandgap and other properties before and after doping.
You may start by loading your CIF file into Burai or any other visualization/pre-processing software for further modification into a nanosheet model, followed by setting up and running the relaxation calculations.
ok well using the other website you suggested (materials project) there’s many crystalline structures of tio2 here they are :
mp-775938
TiO2
Orthorhombic
Pbcn
36
0.01
2.08
mp-1400963
TiO2
Tetragonal
I4/m
12
0.07
2.50
mp-554278
TiO2
Monoclinic
C12/m1
12
< 0.01
2.68
mp-1102591
TiO2
Cubic
Pa3̅
12
0.25
1.38
mp-1350429
TiO2
Monoclinic
C1m1
48
0.18
1.06
mp-572822
TiO2
Monoclinic
P12₁/m1
12
0.53
1.70
mp-25262
TiO2
Cubic
Fd3̅m1
12
0.18
1.71
mp-1380335
TiO2
Trigonal
P3m1
36
0.17
1.72
mp-849533
TiO2
Orthorhombic
Pnma
24
0.09
2.76
mp-1426806
TiO2
Trigonal
R3̅m
3
0.15
2.60
mp-636827
TiO2
Orthorhombic
Pmm2
6
0.30
2.79
mp-756587
TiO2
Hexagonal
P6₃mc
24
0.11
2.32
mp-1439
TiO2
Orthorhombic
Pbcn
12
< 0.01
2.53
mp-1101022
TiO2
Tetragonal
I4/m
12
0.05
2.00
mp-777129
TiO2
Triclinic
P1
54
0.05
3.31
The Materials Project database lists various polymorphs of TiO2, each with their distinctive crystal structure and properties. For the purpose of simulating exfoliated TiO2 nanosheets, it’s important to choose a polymorph that is most likely to form such sheets. Anatase and rutile are the two most studied phases for this purpose, with anatase being the more common choice for exfoliation into nanosheets due to its structural characteristics.
From the list you’ve provided, the entries corresponding to the tetragonal phase are likely referring to anatase or rutile:
- mp-1400963: Anatase, tetragonal, space group I4/m
- mp-1101022: Rutile or anatase, tetragonal, space group I4/m
These are the most relevant entries for simulating nanosheets, given that these phases are known to exfoliate naturally under certain conditions.
Here’s how you could proceed:
1. Select the Appropriate Phase: Choose either the anatase or rutile phase based on your interest. For exfoliated nanosheets, anatase is commonly used.
2. Download the Structural File: Go to the Materials Project website, and for the selected entry (e.g., mp-1400963 for anatase), download the CIF file for the crystal structure.
3. Exfoliate the Structure: Import the CIF file into a visualization/pre-processing software to manipulate the structure and simulate the exfoliation process. You’ll want to make a slab that represents the nanosheet and add vacuum space to avoid interactions between periodic images.
4. Relax the Structure: Conduct relaxation calculations using QE to find the optimized structure of your TiO2 nanosheet. This step is vital to ensure that your model reflects a stable configuration of atoms.
5. Prepare Doping Simulations: Once you have the relaxed nanosheet structure, you can introduce dopants at specific sites and perform further relaxation calculations to optimize the doped structures.
6. Perform Electronic Structure Calculations: Calculate the electronic structure of both the pristine and doped nanosheets to determine how doping affects the band gap and other properties.
Remember to:
- Check the literature to confirm which phase and crystal orientation are most appropriate for exfoliation into nanosheets.
- Make sure your computational resources are sufficient, as two-dimensional materials and doped systems can be quite demanding.
- Pay attention to the symmetry and the unique surfaces presented by the different polymorphs as this could affect the electronic properties and the feasibility of exfoliation.
With this approach, you should be able to model, simulate, and analyze the properties of exfoliated and doped TiO2 nanosheets using QE and Burai.
ok well there’'s two tetragonal types there , let me give them to you :
mp-1101022
TiO2
Tetragonal
I4/m
12
0.05
2.00
and the other one is :
mp-1400963
TiO2
Tetragonal
I4/m
12
0.07
2.50
Both entries you’ve found (mp-1101022 and mp-1400963) are labeled as tetragonal TiO2 with the space group I4/m. However, they differ in their specific details such as energy above hull and electronic bandgap. The energy above hull indicates how stable the structure is relative to the most stable structure at 0 eV; the lower this value, the more thermodynamically stable the phase. The electronic bandgap is given in electronvolts (eV) and reflects the material’s conductive properties.
For your interest in exfoliated TiO2 nanosheets, let’s define the steps to select the appropriate structural file:
1. Analyze the Entries:
- mp-1101022 has an energy above hull of 0.05 eV and a bandgap of 2.00 eV.
- mp-1400963 has an energy above hull of 0.07 eV and a bandgap of 2.50 eV.
Both of these are quite low in energy above hull, indicating that they are relatively stable configurations. However, mp-1101022 is slightly more stable due to its lower energy above hull.
2. Select the Phase Based on Stability and Bandgap:
- For most accurate simulation results, you’d typically choose the more stable phase (mp-1101022) unless you have a reason to explore a less stable one, like investigating its reactivity or a particular application that requires it.
- The choice of bandgap would depend on what properties you want to study in the TiO2 nanosheets. If you’re interested in a specific bandgap that is closer to one of these two values, this might influence your decision.
3. Download the CIF File:
Go to the Materials Project website, find the entry with the space group and properties that best fit your research goals, and download the CIF file.
4. Create the Nanosheet Model:
- Import the CIF into a visualization tool.
- Identify the appropriate crystal orientation to create your two-dimensional nanosheet, typically by creating a slab geometry that cuts through the bulk material.
- Add enough vacuum in the direction normal to the surface to simulate an isolated nanosheet.
5. Relax the Nanosheet Structure:
- Use QE to perform a relaxation calculation, allowing the atoms in the structure to adjust to their low-energy configurations.
6. Proceed with Doping and Further Calculations:
- Introduce dopants into your optimized nanosheet model and perform the necessary calculations to determine the effects on the electronic structure.
If your primary goal is to study exfoliation and the effect of doping on TiO2 nanosheets, then the most stable phase (mp-1101022) is likely your best starting point. Once you’ve confirmed the phase choice, proceed with building, relaxing, and analyzing your model, using the steps detailed above.
why in the data is the bandgap 2 and 2.5 . i thought it was 3.2 . hmm i dont understand why it sohows different in the materials website
The variations in the reported band gaps for the different polymorphs of TiO2 that you found on the Materials Project website can be attributed to several reasons:
1. Theoretical Calculation Methods: The band gaps reported in the Materials Project database are obtained from Density Functional Theory (DFT
|
80e08978ef2df8e1fa94e38f330feddc
|
{
"intermediate": 0.3951966166496277,
"beginner": 0.3064935803413391,
"expert": 0.2983098030090332
}
|
36,728
|
how to create http listner in Revit using c#
|
3f903088538748480215f767feb19efa
|
{
"intermediate": 0.52590411901474,
"beginner": 0.17639020085334778,
"expert": 0.29770568013191223
}
|
36,729
|
ok i put a tio2 model into vests , i want to do the relaxation process on it , lets try , can you guide me in simple terms
|
f312c5a52f1832af5a49db216ad8b730
|
{
"intermediate": 0.36017876863479614,
"beginner": 0.08956468850374222,
"expert": 0.5502565503120422
}
|
36,730
|
in c finish the following exercise: Un fichier, votes.txt, contient les noms des candidats. Le premier nom est considéré comme candidat 1, le second
comme candidat 2, et ainsi de suite. Les noms sont suivis des votes. Écrivez un programme pour lire les données et
évaluer les résultats de l'élection. Imprimez toutes les sorties dans le fichier, resultats.txt.
JILAL Mohamed
TAOUFYQ Anass
Kamal Ramdhan
AZZOUZI Salah
OUCHARRA Hiba
BOULOIZ Aya
SEDKI Rim
3 1 2 5 4 3 5 3 5 3 2 8 1 6 7 7 3 5 6 9 3 4 7 1 2 4 5 5 1 4
Votre sortie doit spécifier le nombre total de votes, le nombre de votes valides et le nombre de votes annulés.
Viennent ensuite les votes obtenus par chaque candidat et le(s) gagnant(s) de l'élection.
Votre programme doit envoyer la sortie suivante à resultats.txt :
Vote invalide : 8
Vote invalide : 9
Nombre d'électeurs : 30
Nombre de votes valides : 28
Nombre de votes annules : 2
Candidat score
JILAL Mohamed 4
TAOUFYQ Anass 3
Kamal Ramdhan 6
AZZOUZI Salah 4
OUCHARRA Hiba 6
BOULOIZ Aya 2
SEDKI Rim 3
Les gagnants:
Kamal Ramdhan
OUCHARRA Hiba
|
708150a31c4effd0aa07a11fc9287ec5
|
{
"intermediate": 0.3994236886501312,
"beginner": 0.36653417348861694,
"expert": 0.23404213786125183
}
|
36,731
|
i have a Arduino uno , with a heavy duty LED board in the LED there is a 10 K ohm Potentiometer , I change the SMD potentiometer with a 10 k dip , I want to use Pin A5 of my arduino to read the potentiometer value , which is between 65 Ohm to 337 Ohm , and base this parameters I want to light up 3 leds to indicate the potentiometer value as low, mid and high( consider this i want to light up this 3 leds with my arduino) write me a code for this job
|
c8bf541784984f274f236f49b28c6ef5
|
{
"intermediate": 0.48697295784950256,
"beginner": 0.2720184922218323,
"expert": 0.24100852012634277
}
|
36,732
|
import numpy as np
import cv2
import os
from time import sleep
from PIL import Image
import torch
# Install necessary libraries
# Make sure to install YOLOv5 dependencies
# pip install opencv-python pillow torch
class WindowCapture:
def __init__(self, window_name):
self.window_name = window_name
self.capture = cv2.VideoCapture(0)
def get_screenshot(self):
ret, frame = self.capture.read()
if not ret:
raise Exception('Failed to capture frame from camera.')
return frame
def generate_image_dataset(self):
if not os.path.exists("images"):
os.mkdir("images")
while True:
img = self.get_screenshot()
im = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
im.save(f"./images/img_{len(os.listdir('images'))}.jpeg")
sleep(1)
def get_window_size(self):
w = int(self.capture.get(3))
h = int(self.capture.get(4))
return w, h
class ImageProcessor:
def __init__(self, img_size, weights_file_path):
self.model = self.load_yolov5(weights_file_path)
self.model.to('cuda' if torch.cuda.is_available() else 'cpu')
self.model.eval()
self.W, self.H = img_size
def load_yolov5(self, weights_file_path):
model = torch.hub.load('ultralytics/yolov5:v5.0', 'yolov5s', pretrained=False)
checkpoint = torch.load(weights_file_path, map_location='cuda' if torch.cuda.is_available() else 'cpu')
model.load_state_dict(checkpoint['model'])
return model
def process_image(self, img):
results = self.model(img)
pred = results.xyxy[0].cpu().numpy()
# Convert coordinates to match the original image size
pred[:, [0, 2]] *= self.W
pred[:, [1, 3]] *= self.H
return pred
def draw_identified_objects(self, img, coordinates):
for coordinate in coordinates:
x, y, w, h, conf, cls = coordinate
color = (0, 255, 0) # Green color for bounding box
cv2.rectangle(img, (int(x), int(y)), (int(w), int(h)), color, 2)
cv2.putText(img, f'Class: {int(cls)}, Conf: {conf:.2f}', (int(x), int(y) - 10),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
cv2.imshow('window', img)
# Set your game window name
window_name = "Superfighters Deluxe v1.3.7d"
# Provide the full path to your custom weights file
weights_file_path = r"C:\Users\Ninja.000\Downloads\exp3-20240102T094124Z-001\exp3\weights\best.pt"
wincap = WindowCapture(window_name)
improc = ImageProcessor(wincap.get_window_size(), weights_file_path)
while True:
ss = wincap.get_screenshot()
if cv2.waitKey(1) == ord('q'):
cv2.destroyAllWindows()
break
# Preprocess image for YOLOv5
img = wincap.get_screenshot()
img = cv2.resize(img, (640, 480))
img = img.transpose(2, 0, 1) # Channels first (C, H, W)
img = np.expand_dims(img, 0) # Add batch dimension
# Convert to torch tensor
img = torch.from_numpy(img).float().div(255.0).unsqueeze(0)
# Inference and post-process
coordinates = improc.process_image(img)
# Draw bounding boxes on the image
improc.draw_identified_objects(ss, coordinates)
for coordinate in coordinates:
print(coordinate)
print()
sleep(0.2)
print('Finished.')
C:\Users\Ninja.000\Downloads\Things>python aa.py
Using cache found in C:\Users\Ninja.000/.cache\torch\hub\ultralytics_yolov5_v5.0
Traceback (most recent call last):
File "C:\Users\Ninja.000\Downloads\Things\aa.py", line 80, in <module>
improc = ImageProcessor(wincap.get_window_size(), weights_file_path)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Ninja.000\Downloads\Things\aa.py", line 41, in __init__
self.model = self.load_yolov5(weights_file_path)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Ninja.000\Downloads\Things\aa.py", line 48, in load_yolov5
model = torch.hub.load('ultralytics/yolov5:v5.0', 'yolov5s', pretrained=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Ninja.000\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\torch\hub.py", line 566, in load
model = _load_local(repo_or_dir, model, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Ninja.000\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\torch\hub.py", line 592, in _load_local
hub_module = _import_module(MODULE_HUBCONF, hubconf_path)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Ninja.000\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\torch\hub.py", line 106, in _import_module
spec.loader.exec_module(module)
File "<frozen importlib._bootstrap_external>", line 936, in exec_module
File "<frozen importlib._bootstrap_external>", line 1073, in get_code
File "<frozen importlib._bootstrap_external>", line 1130, in get_data
FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Users\\Ninja.000/.cache\\torch\\hub\\ultralytics_yolov5_v5.0\\hubconf.py'
|
fb9c30ef9faf5d27d4c62bfda8a7e527
|
{
"intermediate": 0.3822272717952728,
"beginner": 0.48673316836357117,
"expert": 0.131039559841156
}
|
36,733
|
does this code pocess n+1 probleam
require 'time'
class Api::V1::SchedulesController < ApplicationController
def index
# convert the dep and des station names to uppercase and replace underscores with spaces
departure_station = params[:departure]&.upcase
destination_station = params[:destination]&.upcase
time = params[:time].present? ? Time.parse(params[:time]) : nil
exclude = params[:restrict]&.downcase == 'true'
# select all schedules that have the departure and destination stations
# and also starting with station name
# eg : if searching for pala it also return pala private stand , pala ksrtc stand, pala old stand
if departure_station && destination_station
schedules = Schedule.joins(:stations)
.where("stations.name LIKE ? OR stations.name LIKE ? OR stations.name = ? OR stations.name = ?", "#{departure_station} %", "#{destination_station} %", "#{departure_station}", "#{destination_station}")
.select('schedules.*')
.group('schedules.id')
.having('COUNT(DISTINCT stations.name) = 2')
.distinct
trips = schedules.map do |schedule|
stations = schedule.stations.order(:id)
station_names = stations.map(&:name)
# find the index of the departure and destination stations
departure_index = station_names.index { |name| name =~ /#{departure_station}/i }
destination_index = station_names.index { |name| name =~ /#{destination_station}/i }
# this is used to exclude return trip , if the user is searching for a trip from pala to kottayam
# it will exclude the trip from kottayam to pala (since database has both trips)
if departure_index && destination_index && departure_index < destination_index
departure_station_data = stations[departure_index]
departure_time = Time.parse(departure_station_data.departure_time)
next if time && departure_time < time
trip_data = {
vehicle_number: schedule.route.bus_schedule.vehicle_number,
trip: schedule.trip,
stations: stations.map do |station|
{
station: station.name,
arrivalTime: station.arrival_time,
departureTime: station.departure_time
}
end
}
trip_data[:stations] = trip_data[:stations][departure_index..destination_index] if exclude
trip_data
end
end.compact
# sort the trips by departure time of the departure station
sorted_trips = trips.sort_by do |trip|
time_str = trip[:stations].find { |station| station[:station] =~ /#{departure_station}/i }[:departureTime]
Time.parse(time_str)
end
render json: sorted_trips, status: :ok
else
render json: { error: 'Departure and destination stations are required. ' }, status: :unprocessable_entity
end
end
end
|
69694d6f6b1576c00c1dae6ac7eacf48
|
{
"intermediate": 0.3790798485279083,
"beginner": 0.41145578026771545,
"expert": 0.20946437120437622
}
|
36,734
|
hello
|
72f536ff1080027813c7da2b71c33e24
|
{
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
}
|
36,735
|
hello
|
6616657ee97ea5a533c05288ab58181e
|
{
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
}
|
36,736
|
# Set the random seed for reproducibility
seed_value = 42
os.environ['PYTHONHASHSEED'] = str(seed_value)
np.random.seed(seed_value)
rn.seed(seed_value)
tf.random.set_seed(seed_value)
tf.keras.backend.clear_session()
def parse_date(date_string):
return pd.to_datetime(date_string, format='%d/%m/%Y')
df = pd.read_csv('daily2023.csv', parse_dates=['Date'], date_parser=parse_date, index_col='Date')
passenger_count = df['passenger count'].values
def split_sequence(sequence, n_steps):
X, y = list(), list()
for i in range(len(sequence)):
end_ix = i + n_steps
if end_ix > len(sequence) - 1:
break
seq_x, seq_y = sequence[i:end_ix], sequence[end_ix]
X.append(seq_x)
y.append(seq_y)
return np.array(X), np.array(y)
# Fit the scaler on the entire dataset
scaler = MinMaxScaler(feature_range=(0, 1))
scaled_data = scaler.fit_transform(passenger_count.reshape(-1, 1))
train_size = int(len(scaled_data) * 0.6) # 60% of the data
val_size = int(len(scaled_data) * 0.2) # 20% of the data
test_size = len(scaled_data) - train_size - val_size # Remaining data
scaled_data_train = scaled_data[0:train_size]
scaled_data_val = scaled_data[train_size:train_size+val_size]
scaled_data_test = scaled_data[train_size+val_size:]
initializer=tf.keras.initializers.GlorotNormal(seed=42)
initializer2=tf.keras.initializers.Orthogonal(seed=42)
class Attention(Layer):
def __init__(self, **kwargs):
super().__init__(**kwargs)
def build(self, input_shape):
self.W = self.add_weight(shape=(input_shape[-1], input_shape[-1],),
initializer='random_normal',
trainable=True)
self.b = self.add_weight(shape=(input_shape[-1],),
initializer='zeros',
trainable=True)
super().build(input_shape)
def call(self, inputs):
q = K.dot(inputs, self.W) + self.b
q = K.tanh(q)
a = K.softmax(q, axis=1)
return a * inputs
def compute_output_shape(self, input_shape):
return input_shape
def create_model(filters, kernel_size, lstm_units, dropout_rate):
model = Sequential()
model.add(TimeDistributed(Conv1D(filters=filters, kernel_size=kernel_size, activation='relu',kernel_initializer=initializer), input_shape=(None, n_steps, n_features)))
model.add(TimeDistributed(Dropout(dropout_rate)))
model.add(TimeDistributed(Flatten()))
model.add(Bidirectional(LSTM(lstm_units, return_sequences=True, activation=ELU(),kernel_initializer=initializer,recurrent_initializer=initializer2)))
model.add(Attention())
model.add(GlobalAveragePooling1D())
model.add(Dense(1,kernel_initializer=initializer))
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=0.001), loss='mse')
return model
def evaluate_model(model, X_train, y_train, X_val, y_val, X_test, y_test, scaler):
y_train_pred = scaler.inverse_transform(model.predict(X_train))
y_val_pred = scaler.inverse_transform(model.predict(X_val)) # Add this
y_test_pred = scaler.inverse_transform(model.predict(X_test))
y_train_true = scaler.inverse_transform(y_train.reshape(-1, 1))
y_val_true = scaler.inverse_transform(y_val.reshape(-1, 1)) # And this
y_test_true = scaler.inverse_transform(y_test.reshape(-1, 1))
# Calculate metrics for the training set
mse_train = mean_squared_error(y_train_true, y_train_pred)
mae_train = mean_absolute_error(y_train_true, y_train_pred)
rmse_train = np.sqrt(mse_train)
mape_train = np.mean(np.abs((y_train_true - y_train_pred)/ y_train_true)) * 100
# Calculate metrics for the validation set
mse_val = mean_squared_error(y_val_true, y_val_pred) # Add this
mae_val = mean_absolute_error(y_val_true, y_val_pred) # And this
rmse_val = np.sqrt(mse_val) # And this
mape_val = np.mean(np.abs((y_val_true - y_val_pred) / y_val_true)) * 100 # And this
# Calculate metrics for the test set
mse_test = mean_squared_error(y_test_true, y_test_pred)
mae_test = mean_absolute_error(y_test_true, y_test_pred)
rmse_test = np.sqrt(mse_test)
mape_test = np.mean(np.abs((y_test_true - y_test_pred) / y_test_true)) * 100
return mse_train, mae_train, rmse_train, mape_train, mse_val, mae_val, rmse_val, mape_val, mse_test, mae_test, rmse_test, mape_test # Update this
filters_options = [4, 8, 16]
kernel_size_options = [3, 5, 7]
lstm_units_options = [5, 10, 20]
dropout_rate_options = [0.1, 0.2, 0.3]
n_steps_options = [30,35,40,45,50,55,60]
epochs = 150
results = []
for n_steps in n_steps_options:
X_train, y_train = split_sequence(scaled_data_train, n_steps)
X_val, y_val = split_sequence(scaled_data_val, n_steps)
X_test, y_test = split_sequence(scaled_data_test, n_steps)
n_features = 1
n_seq = 1
X_train = X_train.reshape(X_train.shape[0], n_seq, n_steps, n_features)
X_val = X_val.reshape(X_val.shape[0], n_seq, n_steps, n_features)
X_test = X_test.reshape(X_test.shape[0], n_seq, n_steps, n_features)
for filters, kernel_size, lstm_units, dropout_rate in itertools.product(filters_options, kernel_size_options, lstm_units_options, dropout_rate_options):
model = create_model(filters=filters, kernel_size=kernel_size, lstm_units=lstm_units, dropout_rate=dropout_rate)
model.fit(X_train, y_train, validation_data=(X_val, y_val), epochs=epochs, verbose=1)
mse_train, mae_train, rmse_train, mape_train, mse_val, mae_val, rmse_val, mape_val, mse_test, mae_test, rmse_test, mape_test = evaluate_model(model, X_train, y_train, X_val, y_val, X_test, y_test, scaler)
results.append({
'n_steps': n_steps,
'filters': filters,
'kernel_size': kernel_size,
'lstm_units': lstm_units,
'dropout_rate': dropout_rate,
'mse_train': mse_train,
'mae_train': mae_train,
'rmse_train': rmse_train,
'mape_train': mape_train,
'mse_val': mse_val,
'mae_val': mae_val,
'rmse_val': rmse_val,
'mape_val': mape_val,
'mse_test': mse_test,
'mae_test': mae_test,
'rmse_test': rmse_test,
'mape_test': mape_test,
})
results_df = pd.DataFrame(results)
results_df.to_csv('30-60steps_BDLSTM_150_ELU_ATTENTION.csv', index=False)
best_results = results_df.loc[results_df.groupby('n_steps')['mape_test'].idxmin()]
print("Best parameters for each n_steps:")
print(best_results)
is my application of the attention mechanism right? because the results are the same with the model that doesn't have attention mechanism included.
this is a gridsearch for the best parameters for a cnn bidirectional lstm time series forecasting model
|
0d9cde16807e5187b38daa5f286a294c
|
{
"intermediate": 0.28244805335998535,
"beginner": 0.39300018548965454,
"expert": 0.3245517909526825
}
|
36,737
|
ok i got an error in burai visualiser for QE . It ran fine with 1 processor and 1 thread . i have 12 processors and 24 threads , i changed it to 12 and 24 .. and now the error said : Error: expecting a positive number of processes fonnlowing the -n option .. my command for running is simply : mpiexec.exe -n pw.exe -in espresso.in what do you think ?
|
e276c906395a305d2504345141d9f2d5
|
{
"intermediate": 0.3578377962112427,
"beginner": 0.3590543568134308,
"expert": 0.2831077575683594
}
|
36,738
|
So I have a game on steam called Superfighters Deluxe and I wanted to do a yolov5 object detection. I already have the training model weights (best.pt) but I don't know how to make a new window when game is open and show in real time the boxes of the localPlayer and enemy
|
69ec0066f4c2eedc509742769b441638
|
{
"intermediate": 0.38814473152160645,
"beginner": 0.08272216469049454,
"expert": 0.5291330814361572
}
|
36,739
|
if i have in a database with data like 06:53 am,07:32 pm , how do i sort
|
efb5043efd0750189f305f3e1925af4d
|
{
"intermediate": 0.5052497386932373,
"beginner": 0.20484693348407745,
"expert": 0.28990328311920166
}
|
36,740
|
if i have in a database with data like 06:53 am,07:32 pm , how do i sort
in postgresql
|
f7a7e61bb1e6f2fda7742c2e45cbdd84
|
{
"intermediate": 0.5092578530311584,
"beginner": 0.23996426165103912,
"expert": 0.2507779002189636
}
|
36,741
|
Hey
|
7d12c6782e6fad15f15ab8f0aeaca814
|
{
"intermediate": 0.3360580503940582,
"beginner": 0.274208664894104,
"expert": 0.38973328471183777
}
|
36,742
|
require 'time'
class Api::V1::SchedulesController < ApplicationController
def index
# convert the dep and des station names to uppercase and replace underscores with spaces
departure_station = params[:departure]&.upcase
destination_station = params[:destination]&.upcase
time = params[:time].present? ? Time.parse(params[:time]) : nil
exclude = params[:restrict]&.downcase == 'true'
# select all schedules that have the departure and destination stations
# and also starting with station name
# eg : if searching for pala it also return pala private stand , pala ksrtc stand, pala old stand
if departure_station && destination_station
schedules = Schedule.joins(:stations)
.where("stations.name LIKE ? OR stations.name LIKE ? OR stations.name = ? OR stations.name = ?", "#{departure_station} %", "#{destination_station} %", "#{departure_station}", "#{destination_station}")
.select('schedules.*')
.group('schedules.id')
.having('COUNT(DISTINCT stations.name) = 2')
.distinct
trips = schedules.map do |schedule|
stations = schedule.stations.order(:id)
station_names = stations.map(&:name)
# find the index of the departure and destination stations
departure_index = station_names.index { |name| name =~ /#{departure_station}/i }
destination_index = station_names.index { |name| name =~ /#{destination_station}/i }
# this is used to exclude return trip , if the user is searching for a trip from pala to kottayam
# it will exclude the trip from kottayam to pala (since database has both trips)
if departure_index && destination_index && departure_index < destination_index
departure_station_data = stations[departure_index]
departure_time = Time.parse(departure_station_data.departure_time)
next if time && departure_time < time
trip_data = {
vehicle_number: schedule.route.bus_schedule.vehicle_number,
trip: schedule.trip,
stations: stations.map do |station|
{
station: station.name,
arrivalTime: station.arrival_time,
departureTime: station.departure_time
}
end
}
trip_data[:stations] = trip_data[:stations][departure_index..destination_index] if exclude
trip_data
end
end.compact
# sort the trips by departure time of the departure station
sorted_trips = trips.sort_by do |trip|
time_str = trip[:stations].find { |station| station[:station] =~ /#{departure_station}/i }[:departureTime]
Time.parse(time_str)
end
render json: sorted_trips, status: :ok
else
render json: { error: 'Departure and destination stations are required. ' }, status: :unprocessable_entity
end
end
end
someone created an github issue as below, what are the issues of below method to implement in my code
We are currently looping over the schedules to fetch the required data.
Kerala-Private-Bus-Timing-API/app/controllers/api/v1/schedules_controller.rb
Line 24 in ee8deb6
trips = schedules.map do |schedule|
Fetching data in a loop results in n+1 queries. It will slow down the application gradually as the database size increases.
Ref: https://guides.rubyonrails.org/active_record_querying.html#n-1-queries-problem,
https://www.bigbinary.com/blog/preload-vs-eager-load-vs-joins-vs-includes
The image below shows the number of database queries generated.
image
The n+1 query issue can be fixed by using a self-join query to retrieve all the possible bus schedules.
arrival_time = "06:35 am"
stations = Station.select("s1.name departure_station, s2.name destination_station, s1.schedule_id schedule_id, s1.departure_time departure_time, s2.arrival_time arrival_time")
.joins("s1, stations s2")
.preload(schedule: { route: :bus_schedule })
.where("s1.schedule_id=s2.schedule_id and s1.name ILIKE ? and s2.name ILIKE ? and s1.arrival_time > ?",
"%#{params[:departure]}%", "%#{params[:destination]}%", arrival_time)
.order("s1.arrival_time ASC")
The above code will fire only 4 database queries independent of the database size.
|
2e08b02439e900c4a90c46ccf6847888
|
{
"intermediate": 0.3828081786632538,
"beginner": 0.42693912982940674,
"expert": 0.19025275111198425
}
|
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