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feat: add bulkTransfer for efficient bulk asset transfers (#1778) * feat: add bulkTransfer for efficient bulk asset transfers Add bulkTransfer() method using OpenSea's TransferHelper contract: - Enables gas-efficient bulk transfer of multiple assets (ERC20, ERC721, ERC1155) - Supports transfers to different recipients for each asset - Requires prior approval to OpenSea's conduit (OPENSEA_CONDUIT_KEY_2) - Uses TransferHelper contract at 0x000000000 Files added: - TransferHelper ABI (src/abi/TransferHelper.json) - Unit tests for validation and error cases Addresses #1312 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add approval checking to bulkTransfer method - Add _checkAssetApproval() helper method to verify approvals before transfer - Check ERC20 allowance, ERC721 approval (isApprovedForAll or getApproved), and ERC1155 isApprovedForAll - Throw helpful error with list of unapproved assets and instructions for approval - Add test case for approval error handling - Fail fast before wasting gas on transaction that will revert 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Add batch approval method for efficient multi-asset approvals - Add Multicall3 contract integration for batching approvals - Create batchApproveAssets() method that efficiently handles approvals: - Returns early if no approvals needed - Sends single transaction for 1 approval - Uses Multicall3 to batch 2+ approvals - Add utility methods for contract initialization: - _getTransferHelperContract() - _getMulticall3Contract() - Update bulkTransfer() error message to reference batchApproveAssets() - Add constants for MULTICALL3_ADDRESS and TRANSFER_HELPER_ADDRESS - Add Multicall3.json ABI file - Add unit tests for batchApproveAssets() 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Au... (continued)
140 of 458 branches covered (30.57%)
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90 of 181 new or added lines in 5 files covered. (49.72%)
733 of 1312 relevant lines covered (55.87%)
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