fixed-b

.gitignore

@@ -1,14 +1,14 @@
-cache/
-out/
+/cache/
+/out/
 
-chain.json
+/log/
+/.env
+/.env-*
+/.idea/
+package-lock.json
+/broadcast
 
-docs/
-log/
-.env
-.idea
+*secret*
 
-# Ignores development broadcast logs
-!/broadcast
-/broadcast/*/31337/
-/broadcast/**/dry-run/
+# This file is only used by DeployMock
+/liqp-deployments.json

bin/mock

@@ -1,5 +1,4 @@
 #!/bin/bash
-CODE_SIZE_LIMIT=65000
 # Dev account #0
 #PRIVATE_KEY=0xac0974bec39a17e36ba4a6b4d238ff944bacb478cbed5efcae784d7bf4f2ff80
 # Dev account #4
@@ -22,7 +21,8 @@ trap cleanup EXIT
 mkdir -p log
 
 # Run anvil in background and redirect output to log file
-anvil --code-size-limit ${CODE_SIZE_LIMIT} | tee log/anvil.txt &
+# shellcheck disable=SC2086
+anvil | tee log/anvil.txt &
 ANVIL_PID=$!
 
 # Function to check if string exists in file
@@ -43,7 +43,12 @@ while ! check_string "Listening on" "log/anvil.txt"; do
     fi
 done
 
-forge script --code-size-limit ${CODE_SIZE_LIMIT} --private-key ${PRIVATE_KEY} DeployMock --fork-url http://localhost:8545 --broadcast "$@"  || err 1
+forge script --private-key ${PRIVATE_KEY} DeployMock --fork-url http://localhost:8545 --broadcast "$@"  || err 1
+
+if [ "$1" = "slow" ]; then
+    echo "SLOW MODE: Setting mining mode to 12-second intervals."
+    cast rpc evm_setIntervalMining 12
+fi
 
 echo "Press Ctrl+C to exit..."
 while true; do

bin/sepolia-deploy

@@ -0,0 +1,138 @@
+#!/bin/bash
+
+CHAINID=11155111
+DEPLOY_SCRIPT=DeploySepolia
+
+if [ -z "$SEPOLIA_RPC_URL" ]; then
+  echo "Usage: SEPOLIA_RPC_URL environment variable must be set"
+  exit 1
+fi
+RPC=${SEPOLIA_RPC_URL}
+
+if [ -z "$PRIVATE_KEY" ]; then
+  echo "Usage: PRIVATE_KEY environment variable must be set"
+  exit 1
+fi
+
+if [ -z "$ETHERSCAN_API_KEY" ]; then
+  echo "Usage: ETHERSCAN_API_KEY environment variable must be set"
+  exit 1
+fi
+
+if [ "$1" == "broadcast" ]; then
+  # BROADCAST=(--broadcast --verify --etherscan-api-key "$ETHERSCAN_API_KEY")
+  # use --slow to avoid triggering rate limits
+  BROADCAST=(--slow --broadcast --verify --etherscan-api-key "$ETHERSCAN_API_KEY")
+else
+  BROADCAST=()
+fi
+
+
+if [ "$1" != "record" ]; then
+  forge clean
+  forge script --fork-url "$RPC" --private-key "$PRIVATE_KEY" "${BROADCAST[@]}" script/DeploySepolia.sol || exit 1
+fi
+
+# Update the liqp-deployments.json file if the contracts were broadcast or record was requested
+
+if [ "$1" == "broadcast" ] || [ "$1" == "record" ]; then
+  METADATA_FILE=deployment/liqp-deployments.json
+else
+  METADATA_FILE=./liqp-deployments.json
+fi
+
+address() {
+  if [ -z "$1" ]; then
+    echo ""
+  else
+    cast --to-checksum-address "$1"
+  fi
+}
+
+contract() {
+  address "$(jq -r ".transactions[] | select(.contractName == \"$1\" and .transactionType == \"CREATE\") | .contractAddress" broadcast/${DEPLOY_SCRIPT}.sol/${CHAINID}/run-latest.json)"
+}
+
+token() {
+  address "$(jq -r ".transactions[] | select(.contractName == \"MockERC20\" and .transactionType == \"CREATE\" and (.arguments | contains([\"$1\"]))) | .contractAddress" broadcast/${DEPLOY_SCRIPT}.sol/${CHAINID}/run-latest.json)"
+}
+
+PARTY_PLANNER=$(contract PartyPlanner)
+PARTY_POOL_VIEWER=$(contract PartyPoolViewer)
+PARTY_POOL_MINT_IMPL=$(contract PartyPoolMintImpl)
+PARTY_POOL_SWAP_IMPL=$(contract PartyPoolSwapImpl)
+PARTY_POOL_DEPLOYER=$(contract PartyPoolDeployer)
+PARTY_POOL_BP_DEPLOYER=$(contract PartyPoolBalancedPairDeployer)
+
+USXD=$(token USXD)
+FUSD=$(token FUSD)
+DIVE=$(token DIVE)
+BUTC=$(token BUTC)
+WTETH=$(token WTETH)
+
+OUT=deployment/$CHAINID/v1
+mkdir -p $OUT
+cp -r out $OUT/
+
+# Build and insert the JSON object directly in jq
+jq -n \
+  --arg chainId "$CHAINID" \
+  --arg partyPlanner "$PARTY_PLANNER" \
+  --arg partyPoolViewer "$PARTY_POOL_VIEWER" \
+  --arg partyPoolMintImpl "$PARTY_POOL_MINT_IMPL" \
+  --arg partyPoolSwapImpl "$PARTY_POOL_SWAP_IMPL" \
+  --arg partyPoolDeployer "$PARTY_POOL_DEPLOYER" \
+  --arg partyPoolBPDeployer "$PARTY_POOL_BP_DEPLOYER" \
+  --arg usxd "$USXD" \
+  --arg fusd "$FUSD" \
+  --arg dive "$DIVE" \
+  --arg butc "$BUTC" \
+  --arg wteth "$WTETH" \
+  '
+  {
+    v1: {
+      PartyPlanner: $partyPlanner,
+      PartyPoolViewer: $partyPoolViewer,
+      PartyPoolMintImpl: $partyPoolMintImpl,
+      PartyPoolSwapImpl: $partyPoolSwapImpl,
+      PartyPoolDeployer: $partyPoolDeployer,
+      PartyPoolBalancedPairDeployer: $partyPoolBPDeployer,
+      USXD: $usxd,
+      FUSD: $fusd,
+      DIVE: $dive,
+      BUTC: $butc,
+      WTETH: $wteth
+    }
+  } as $entry |
+  (try (input | . + {($chainId): $entry}) catch {($chainId): $entry})
+  ' "$METADATA_FILE" 2>/dev/null > "${METADATA_FILE}.tmp" && mv "${METADATA_FILE}.tmp" "$METADATA_FILE" || \
+  jq -n \
+    --arg chainId "$CHAINID" \
+    --arg partyPlanner "$PARTY_PLANNER" \
+    --arg partyPoolViewer "$PARTY_POOL_VIEWER" \
+    --arg partyPoolMintImpl "$PARTY_POOL_MINT_IMPL" \
+    --arg partyPoolSwapImpl "$PARTY_POOL_SWAP_IMPL" \
+    --arg partyPoolDeployer "$PARTY_POOL_DEPLOYER" \
+    --arg partyPoolBPDeployer "$PARTY_POOL_BP_DEPLOYER" \
+    --arg usxd "$USXD" \
+    --arg fusd "$FUSD" \
+    --arg dive "$DIVE" \
+    --arg butc "$BUTC" \
+    --arg wteth "$WTETH" \
+    '{($chainId): {
+      v1: {
+        PartyPlanner: $partyPlanner,
+        PartyPoolViewer: $partyPoolViewer,
+        PartyPoolMintImpl: $partyPoolMintImpl,
+        PartyPoolSwapImpl: $partyPoolSwapImpl,
+        PartyPoolDeployer: $partyPoolDeployer,
+        PartyPoolBalancedPairDeployer: $partyPoolBPDeployer,
+        USXD: $usxd,
+        FUSD: $fusd,
+        DIVE: $dive,
+        BUTC: $butc,
+        WTETH: $wteth
+      }
+    }}' > "$METADATA_FILE"
+
+echo "Wrote $METADATA_FILE"

bin/signature-upload

@@ -0,0 +1,2 @@
+#!/bin/bash
+forge selectors upload --all

deployment/11155111/v1/out/ABDKMath64x64.sol/ABDKMath64x64.json

@@ -0,0 +1 @@
+{"abi":[],"bytecode":{"object":"0x6080806040523460175760399081601c823930815050f35b5f80fdfe5f80fdfea264697066735822122057dfc406d135bbbd662b6329b3654145fbb6deac545bf953b3306cd6af0898d864736f6c634300081e0033","sourceMap":"666:24871:0:-:0;;;;;;;;;;;;;;;;;;;;;","linkReferences":{}},"deployedBytecode":{"object":"0x5f80fdfea264697066735822122057dfc406d135bbbd662b6329b3654145fbb6deac545bf953b3306cd6af0898d864736f6c634300081e0033","sourceMap":"666:24871:0:-:0;;","linkReferences":{}},"methodIdentifiers":{},"rawMetadata":"{\"compiler\":{\"version\":\"0.8.30+commit.73712a01\"},\"language\":\"Solidity\",\"output\":{\"abi\":[],\"devdoc\":{\"kind\":\"dev\",\"methods\":{},\"version\":1},\"userdoc\":{\"kind\":\"user\",\"methods\":{},\"notice\":\"Smart contract library of mathematical functions operating with signed 64.64-bit fixed point numbers.  Signed 64.64-bit fixed point number is basically a simple fraction whose numerator is signed 128-bit integer and denominator is 2^64.  As long as denominator is always the same, there is no need to store it, thus in Solidity signed 64.64-bit fixed point numbers are represented by int128 type holding only the numerator.\",\"version\":1}},\"settings\":{\"compilationTarget\":{\"lib/abdk-libraries-solidity/ABDKMath64x64.sol\":\"ABDKMath64x64\"},\"evmVersion\":\"prague\",\"libraries\":{},\"metadata\":{\"bytecodeHash\":\"ipfs\"},\"optimizer\":{\"enabled\":true,\"runs\":100000000},\"remappings\":[\":@abdk/=lib/abdk-libraries-solidity/\",\":@openzeppelin/=lib/openzeppelin-contracts/\",\":abdk-libraries-solidity/=lib/abdk-libraries-solidity/\",\":erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/\",\":forge-std/=lib/forge-std/src/\",\":halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/\",\":openzeppelin-contracts/=lib/openzeppelin-contracts/\"],\"viaIR\":true},\"sources\":{\"lib/abdk-libraries-solidity/ABDKMath64x64.sol\":{\"keccak256\":\"0x1364fdc24192b982f647c7fc68dcb2f6fc1b5e201843e773144bd23a76cb3b97\",\"license\":\"BSD-4-Clause\",\"urls\":[\"bzz-raw://490712cc07db32f274899b17aade9c975f06010848c21500b8a5ead6898e09c7\",\"dweb:/ipfs/QmZMPKjDgwCFSGdLWJW6g5E7hDLByA9hNjXzAwJ4GKTZvN\"]}},\"version\":1}","metadata":{"compiler":{"version":"0.8.30+commit.73712a01"},"language":"Solidity","output":{"abi":[],"devdoc":{"kind":"dev","methods":{},"version":1},"userdoc":{"kind":"user","methods":{},"version":1}},"settings":{"remappings":["@abdk/=lib/abdk-libraries-solidity/","@openzeppelin/=lib/openzeppelin-contracts/","abdk-libraries-solidity/=lib/abdk-libraries-solidity/","erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/","forge-std/=lib/forge-std/src/","halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/","openzeppelin-contracts/=lib/openzeppelin-contracts/"],"optimizer":{"enabled":true,"runs":100000000},"metadata":{"bytecodeHash":"ipfs"},"compilationTarget":{"lib/abdk-libraries-solidity/ABDKMath64x64.sol":"ABDKMath64x64"},"evmVersion":"prague","libraries":{},"viaIR":true},"sources":{"lib/abdk-libraries-solidity/ABDKMath64x64.sol":{"keccak256":"0x1364fdc24192b982f647c7fc68dcb2f6fc1b5e201843e773144bd23a76cb3b97","urls":["bzz-raw://490712cc07db32f274899b17aade9c975f06010848c21500b8a5ead6898e09c7","dweb:/ipfs/QmZMPKjDgwCFSGdLWJW6g5E7hDLByA9hNjXzAwJ4GKTZvN"],"license":"BSD-4-Clause"}},"version":1},"id":0}

deployment/11155111/v1/out/Address.sol/Address.json

@@ -0,0 +1 @@
+{"abi":[{"type":"error","name":"AddressEmptyCode","inputs":[{"name":"target","type":"address","internalType":"address"}]}],"bytecode":{"object":"0x6080806040523460175760399081601c823930815050f35b5f80fdfe5f80fdfea2646970667358221220eb0570070fec78251db3fa24b17454c9bec7df5e60c2499d03d66c5c28208ff764736f6c634300081e0033","sourceMap":"282:6520:33:-:0;;;;;;;;;;;;;;;;;;;;;","linkReferences":{}},"deployedBytecode":{"object":"0x5f80fdfea2646970667358221220eb0570070fec78251db3fa24b17454c9bec7df5e60c2499d03d66c5c28208ff764736f6c634300081e0033","sourceMap":"282:6520:33:-:0;;","linkReferences":{}},"methodIdentifiers":{},"rawMetadata":"{\"compiler\":{\"version\":\"0.8.30+commit.73712a01\"},\"language\":\"Solidity\",\"output\":{\"abi\":[{\"inputs\":[{\"internalType\":\"address\",\"name\":\"target\",\"type\":\"address\"}],\"name\":\"AddressEmptyCode\",\"type\":\"error\"}],\"devdoc\":{\"details\":\"Collection of functions related to the address type\",\"errors\":{\"AddressEmptyCode(address)\":[{\"details\":\"There's no code at `target` (it is not a contract).\"}]},\"kind\":\"dev\",\"methods\":{},\"version\":1},\"userdoc\":{\"kind\":\"user\",\"methods\":{},\"version\":1}},\"settings\":{\"compilationTarget\":{\"lib/openzeppelin-contracts/contracts/utils/Address.sol\":\"Address\"},\"evmVersion\":\"prague\",\"libraries\":{},\"metadata\":{\"bytecodeHash\":\"ipfs\"},\"optimizer\":{\"enabled\":true,\"runs\":100000000},\"remappings\":[\":@abdk/=lib/abdk-libraries-solidity/\",\":@openzeppelin/=lib/openzeppelin-contracts/\",\":abdk-libraries-solidity/=lib/abdk-libraries-solidity/\",\":erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/\",\":forge-std/=lib/forge-std/src/\",\":halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/\",\":openzeppelin-contracts/=lib/openzeppelin-contracts/\"],\"viaIR\":true},\"sources\":{\"lib/openzeppelin-contracts/contracts/utils/Address.sol\":{\"keccak256\":\"0xd274645d15bb7e4fcb9c833e401b2c5837404f90057f11a49118f25e0af7c76f\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://d38e0b997bb7aebae26d190b03d0991feb0d204c45f945e60014e1ca9175de69\",\"dweb:/ipfs/QmWzsUHHAZcjMyF8uMDEtNpMTkYZdQrfvdKPobXvwVHKo6\"]},\"lib/openzeppelin-contracts/contracts/utils/Errors.sol\":{\"keccak256\":\"0x6afa713bfd42cf0f7656efa91201007ac465e42049d7de1d50753a373648c123\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://ba1d02f4847670a1b83dec9f7d37f0b0418d6043447b69f3a29a5f9efc547fcf\",\"dweb:/ipfs/QmQ7iH2keLNUKgq2xSWcRmuBE5eZ3F5whYAkAGzCNNoEWB\"]},\"lib/openzeppelin-contracts/contracts/utils/LowLevelCall.sol\":{\"keccak256\":\"0x50e81a8b089e3f382b6c915aa0166773de64ea4756e8f9479d9943a5f956ddf5\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://bfeb96a150537222e2191c03887127499a4f21dfb5f9a7211da4d81749b52848\",\"dweb:/ipfs/QmYR75ECbsBuxSiXmGvGfNKJRLoK5MdLUZL1bd8SixzxL4\"]}},\"version\":1}","metadata":{"compiler":{"version":"0.8.30+commit.73712a01"},"language":"Solidity","output":{"abi":[{"inputs":[{"internalType":"address","name":"target","type":"address"}],"type":"error","name":"AddressEmptyCode"}],"devdoc":{"kind":"dev","methods":{},"version":1},"userdoc":{"kind":"user","methods":{},"version":1}},"settings":{"remappings":["@abdk/=lib/abdk-libraries-solidity/","@openzeppelin/=lib/openzeppelin-contracts/","abdk-libraries-solidity/=lib/abdk-libraries-solidity/","erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/","forge-std/=lib/forge-std/src/","halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/","openzeppelin-contracts/=lib/openzeppelin-contracts/"],"optimizer":{"enabled":true,"runs":100000000},"metadata":{"bytecodeHash":"ipfs"},"compilationTarget":{"lib/openzeppelin-contracts/contracts/utils/Address.sol":"Address"},"evmVersion":"prague","libraries":{},"viaIR":true},"sources":{"lib/openzeppelin-contracts/contracts/utils/Address.sol":{"keccak256":"0xd274645d15bb7e4fcb9c833e401b2c5837404f90057f11a49118f25e0af7c76f","urls":["bzz-raw://d38e0b997bb7aebae26d190b03d0991feb0d204c45f945e60014e1ca9175de69","dweb:/ipfs/QmWzsUHHAZcjMyF8uMDEtNpMTkYZdQrfvdKPobXvwVHKo6"],"license":"MIT"},"lib/openzeppelin-contracts/contracts/utils/Errors.sol":{"keccak256":"0x6afa713bfd42cf0f7656efa91201007ac465e42049d7de1d50753a373648c123","urls":["bzz-raw://ba1d02f4847670a1b83dec9f7d37f0b0418d6043447b69f3a29a5f9efc547fcf","dweb:/ipfs/QmQ7iH2keLNUKgq2xSWcRmuBE5eZ3F5whYAkAGzCNNoEWB"],"license":"MIT"},"lib/openzeppelin-contracts/contracts/utils/LowLevelCall.sol":{"keccak256":"0x50e81a8b089e3f382b6c915aa0166773de64ea4756e8f9479d9943a5f956ddf5","urls":["bzz-raw://bfeb96a150537222e2191c03887127499a4f21dfb5f9a7211da4d81749b52848","dweb:/ipfs/QmYR75ECbsBuxSiXmGvGfNKJRLoK5MdLUZL1bd8SixzxL4"],"license":"MIT"}},"version":1},"id":33}

deployment/11155111/v1/out/Base.sol/CommonBase.json

@@ -0,0 +1 @@
+{"abi":[],"bytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"deployedBytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"methodIdentifiers":{},"rawMetadata":"{\"compiler\":{\"version\":\"0.8.30+commit.73712a01\"},\"language\":\"Solidity\",\"output\":{\"abi\":[],\"devdoc\":{\"kind\":\"dev\",\"methods\":{},\"stateVariables\":{\"CONSOLE\":{\"details\":\"console.sol and console2.sol work by executing a staticcall to this address. Calculated as `address(uint160(uint88(bytes11(\\\"console.log\\\"))))`.\"},\"CREATE2_FACTORY\":{\"details\":\"Used when deploying with create2. Taken from https://github.com/Arachnid/deterministic-deployment-proxy.\"},\"DEFAULT_SENDER\":{\"details\":\"The default address for tx.origin and msg.sender. Calculated as `address(uint160(uint256(keccak256(\\\"foundry default caller\\\"))))`.\"},\"DEFAULT_TEST_CONTRACT\":{\"details\":\"The address of the first contract `CREATE`d by a running test contract. When running tests, each test contract is `CREATE`d by `DEFAULT_SENDER` with nonce 1. Calculated as `VM.computeCreateAddress(VM.computeCreateAddress(DEFAULT_SENDER, 1), 1)`.\"},\"MULTICALL3_ADDRESS\":{\"details\":\"Deterministic deployment address of the Multicall3 contract. Taken from https://www.multicall3.com.\"},\"SECP256K1_ORDER\":{\"details\":\"The order of the secp256k1 curve.\"},\"VM_ADDRESS\":{\"details\":\"Cheat code address. Calculated as `address(uint160(uint256(keccak256(\\\"hevm cheat code\\\"))))`.\"}},\"version\":1},\"userdoc\":{\"kind\":\"user\",\"methods\":{},\"version\":1}},\"settings\":{\"compilationTarget\":{\"lib/forge-std/src/Base.sol\":\"CommonBase\"},\"evmVersion\":\"prague\",\"libraries\":{},\"metadata\":{\"bytecodeHash\":\"ipfs\"},\"optimizer\":{\"enabled\":true,\"runs\":100000000},\"remappings\":[\":@abdk/=lib/abdk-libraries-solidity/\",\":@openzeppelin/=lib/openzeppelin-contracts/\",\":abdk-libraries-solidity/=lib/abdk-libraries-solidity/\",\":erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/\",\":forge-std/=lib/forge-std/src/\",\":halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/\",\":openzeppelin-contracts/=lib/openzeppelin-contracts/\"],\"viaIR\":true},\"sources\":{\"lib/forge-std/src/Base.sol\":{\"keccak256\":\"0x4b2a5a85e045dcf6a082700c7252e43854c2eed88f860aaa18ec1e85218ae2bf\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://98d060ed5be569a92d908fc358149039dc8f833d61973aa1b9d1d8235676bf6d\",\"dweb:/ipfs/QmaWQpn5dJmbMS5skwmPPMeUWZG35BLkignPpcA3zyagEs\"]},\"lib/forge-std/src/StdStorage.sol\":{\"keccak256\":\"0x04102de0a79398e4bdea57b7a4818655b4cc66d6f81d1cff08bf428cd0b384cd\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://53edc6c8f7f67cafc0129f039637c77d979880f7f1947defea31e8f0c05095bc\",\"dweb:/ipfs/QmUKXJd1vFCkxxrkXNLURdXrx2apoyWQFrFb5UqNkjdHVi\"]},\"lib/forge-std/src/Vm.sol\":{\"keccak256\":\"0x9b4df44a3b748593a58be7ba64fa5f420e5dcd7927bfa5173186228bfe61782f\",\"license\":\"MIT OR Apache-2.0\",\"urls\":[\"bzz-raw://b89fcf92ee1d14237cfb0dd949341053389d5b6a043ad77349b65bef80b1d59f\",\"dweb:/ipfs/QmPkia3aNHrqvE4tqxG2AyrdB4W91jTAvcbchgs2wAo6NL\"]}},\"version\":1}","metadata":{"compiler":{"version":"0.8.30+commit.73712a01"},"language":"Solidity","output":{"abi":[],"devdoc":{"kind":"dev","methods":{},"version":1},"userdoc":{"kind":"user","methods":{},"version":1}},"settings":{"remappings":["@abdk/=lib/abdk-libraries-solidity/","@openzeppelin/=lib/openzeppelin-contracts/","abdk-libraries-solidity/=lib/abdk-libraries-solidity/","erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/","forge-std/=lib/forge-std/src/","halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/","openzeppelin-contracts/=lib/openzeppelin-contracts/"],"optimizer":{"enabled":true,"runs":100000000},"metadata":{"bytecodeHash":"ipfs"},"compilationTarget":{"lib/forge-std/src/Base.sol":"CommonBase"},"evmVersion":"prague","libraries":{},"viaIR":true},"sources":{"lib/forge-std/src/Base.sol":{"keccak256":"0x4b2a5a85e045dcf6a082700c7252e43854c2eed88f860aaa18ec1e85218ae2bf","urls":["bzz-raw://98d060ed5be569a92d908fc358149039dc8f833d61973aa1b9d1d8235676bf6d","dweb:/ipfs/QmaWQpn5dJmbMS5skwmPPMeUWZG35BLkignPpcA3zyagEs"],"license":"MIT"},"lib/forge-std/src/StdStorage.sol":{"keccak256":"0x04102de0a79398e4bdea57b7a4818655b4cc66d6f81d1cff08bf428cd0b384cd","urls":["bzz-raw://53edc6c8f7f67cafc0129f039637c77d979880f7f1947defea31e8f0c05095bc","dweb:/ipfs/QmUKXJd1vFCkxxrkXNLURdXrx2apoyWQFrFb5UqNkjdHVi"],"license":"MIT"},"lib/forge-std/src/Vm.sol":{"keccak256":"0x9b4df44a3b748593a58be7ba64fa5f420e5dcd7927bfa5173186228bfe61782f","urls":["bzz-raw://b89fcf92ee1d14237cfb0dd949341053389d5b6a043ad77349b65bef80b1d59f","dweb:/ipfs/QmPkia3aNHrqvE4tqxG2AyrdB4W91jTAvcbchgs2wAo6NL"],"license":"MIT OR Apache-2.0"}},"version":1},"id":1}

deployment/11155111/v1/out/Base.sol/ScriptBase.json

@@ -0,0 +1 @@
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deployment/11155111/v1/out/Base.sol/TestBase.json

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deployment/11155111/v1/out/Context.sol/Context.json

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+{"abi":[],"bytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"deployedBytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"methodIdentifiers":{},"rawMetadata":"{\"compiler\":{\"version\":\"0.8.30+commit.73712a01\"},\"language\":\"Solidity\",\"output\":{\"abi\":[],\"devdoc\":{\"details\":\"Provides information about the current execution context, including the sender of the transaction and its data. While these are generally available via msg.sender and msg.data, they should not be accessed in such a direct manner, since when dealing with meta-transactions the account sending and paying for execution may not be the actual sender (as far as an application is concerned). This contract is only required for intermediate, library-like contracts.\",\"kind\":\"dev\",\"methods\":{},\"version\":1},\"userdoc\":{\"kind\":\"user\",\"methods\":{},\"version\":1}},\"settings\":{\"compilationTarget\":{\"lib/openzeppelin-contracts/contracts/utils/Context.sol\":\"Context\"},\"evmVersion\":\"prague\",\"libraries\":{},\"metadata\":{\"bytecodeHash\":\"ipfs\"},\"optimizer\":{\"enabled\":true,\"runs\":100000000},\"remappings\":[\":@abdk/=lib/abdk-libraries-solidity/\",\":@openzeppelin/=lib/openzeppelin-contracts/\",\":abdk-libraries-solidity/=lib/abdk-libraries-solidity/\",\":erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/\",\":forge-std/=lib/forge-std/src/\",\":halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/\",\":openzeppelin-contracts/=lib/openzeppelin-contracts/\"],\"viaIR\":true},\"sources\":{\"lib/openzeppelin-contracts/contracts/utils/Context.sol\":{\"keccak256\":\"0x493033a8d1b176a037b2cc6a04dad01a5c157722049bbecf632ca876224dd4b2\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://6a708e8a5bdb1011c2c381c9a5cfd8a9a956d7d0a9dc1bd8bcdaf52f76ef2f12\",\"dweb:/ipfs/Qmax9WHBnVsZP46ZxEMNRQpLQnrdE4dK8LehML1Py8FowF\"]}},\"version\":1}","metadata":{"compiler":{"version":"0.8.30+commit.73712a01"},"language":"Solidity","output":{"abi":[],"devdoc":{"kind":"dev","methods":{},"version":1},"userdoc":{"kind":"user","methods":{},"version":1}},"settings":{"remappings":["@abdk/=lib/abdk-libraries-solidity/","@openzeppelin/=lib/openzeppelin-contracts/","abdk-libraries-solidity/=lib/abdk-libraries-solidity/","erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/","forge-std/=lib/forge-std/src/","halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/","openzeppelin-contracts/=lib/openzeppelin-contracts/"],"optimizer":{"enabled":true,"runs":100000000},"metadata":{"bytecodeHash":"ipfs"},"compilationTarget":{"lib/openzeppelin-contracts/contracts/utils/Context.sol":"Context"},"evmVersion":"prague","libraries":{},"viaIR":true},"sources":{"lib/openzeppelin-contracts/contracts/utils/Context.sol":{"keccak256":"0x493033a8d1b176a037b2cc6a04dad01a5c157722049bbecf632ca876224dd4b2","urls":["bzz-raw://6a708e8a5bdb1011c2c381c9a5cfd8a9a956d7d0a9dc1bd8bcdaf52f76ef2f12","dweb:/ipfs/Qmax9WHBnVsZP46ZxEMNRQpLQnrdE4dK8LehML1Py8FowF"],"license":"MIT"}},"version":1},"id":34}

deployment/11155111/v1/out/Errors.sol/Errors.json

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deployment/11155111/v1/out/IERC165.sol/IERC165.json

@@ -0,0 +1 @@
+{"abi":[{"type":"function","name":"supportsInterface","inputs":[{"name":"interfaceId","type":"bytes4","internalType":"bytes4"}],"outputs":[{"name":"","type":"bool","internalType":"bool"}],"stateMutability":"view"}],"bytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"deployedBytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"methodIdentifiers":{"supportsInterface(bytes4)":"01ffc9a7"},"rawMetadata":"{\"compiler\":{\"version\":\"0.8.30+commit.73712a01\"},\"language\":\"Solidity\",\"output\":{\"abi\":[{\"inputs\":[{\"internalType\":\"bytes4\",\"name\":\"interfaceId\",\"type\":\"bytes4\"}],\"name\":\"supportsInterface\",\"outputs\":[{\"internalType\":\"bool\",\"name\":\"\",\"type\":\"bool\"}],\"stateMutability\":\"view\",\"type\":\"function\"}],\"devdoc\":{\"details\":\"Interface of the ERC-165 standard, as defined in the https://eips.ethereum.org/EIPS/eip-165[ERC]. Implementers can declare support of contract interfaces, which can then be queried by others ({ERC165Checker}). For an implementation, see {ERC165}.\",\"kind\":\"dev\",\"methods\":{\"supportsInterface(bytes4)\":{\"details\":\"Returns true if this contract implements the interface defined by `interfaceId`. See the corresponding https://eips.ethereum.org/EIPS/eip-165#how-interfaces-are-identified[ERC section] to learn more about how these ids are created. This function call must use less than 30 000 gas.\"}},\"version\":1},\"userdoc\":{\"kind\":\"user\",\"methods\":{},\"version\":1}},\"settings\":{\"compilationTarget\":{\"lib/openzeppelin-contracts/contracts/utils/introspection/IERC165.sol\":\"IERC165\"},\"evmVersion\":\"prague\",\"libraries\":{},\"metadata\":{\"bytecodeHash\":\"ipfs\"},\"optimizer\":{\"enabled\":true,\"runs\":100000000},\"remappings\":[\":@abdk/=lib/abdk-libraries-solidity/\",\":@openzeppelin/=lib/openzeppelin-contracts/\",\":abdk-libraries-solidity/=lib/abdk-libraries-solidity/\",\":erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/\",\":forge-std/=lib/forge-std/src/\",\":halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/\",\":openzeppelin-contracts/=lib/openzeppelin-contracts/\"],\"viaIR\":true},\"sources\":{\"lib/openzeppelin-contracts/contracts/utils/introspection/IERC165.sol\":{\"keccak256\":\"0x8891738ffe910f0cf2da09566928589bf5d63f4524dd734fd9cedbac3274dd5c\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://971f954442df5c2ef5b5ebf1eb245d7105d9fbacc7386ee5c796df1d45b21617\",\"dweb:/ipfs/QmadRjHbkicwqwwh61raUEapaVEtaLMcYbQZWs9gUkgj3u\"]}},\"version\":1}","metadata":{"compiler":{"version":"0.8.30+commit.73712a01"},"language":"Solidity","output":{"abi":[{"inputs":[{"internalType":"bytes4","name":"interfaceId","type":"bytes4"}],"stateMutability":"view","type":"function","name":"supportsInterface","outputs":[{"internalType":"bool","name":"","type":"bool"}]}],"devdoc":{"kind":"dev","methods":{"supportsInterface(bytes4)":{"details":"Returns true if this contract implements the interface defined by `interfaceId`. See the corresponding https://eips.ethereum.org/EIPS/eip-165#how-interfaces-are-identified[ERC section] to learn more about how these ids are created. This function call must use less than 30 000 gas."}},"version":1},"userdoc":{"kind":"user","methods":{},"version":1}},"settings":{"remappings":["@abdk/=lib/abdk-libraries-solidity/","@openzeppelin/=lib/openzeppelin-contracts/","abdk-libraries-solidity/=lib/abdk-libraries-solidity/","erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/","forge-std/=lib/forge-std/src/","halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/","openzeppelin-contracts/=lib/openzeppelin-contracts/"],"optimizer":{"enabled":true,"runs":100000000},"metadata":{"bytecodeHash":"ipfs"},"compilationTarget":{"lib/openzeppelin-contracts/contracts/utils/introspection/IERC165.sol":"IERC165"},"evmVersion":"prague","libraries":{},"viaIR":true},"sources":{"lib/openzeppelin-contracts/contracts/utils/introspection/IERC165.sol":{"keccak256":"0x8891738ffe910f0cf2da09566928589bf5d63f4524dd734fd9cedbac3274dd5c","urls":["bzz-raw://971f954442df5c2ef5b5ebf1eb245d7105d9fbacc7386ee5c796df1d45b21617","dweb:/ipfs/QmadRjHbkicwqwwh61raUEapaVEtaLMcYbQZWs9gUkgj3u"],"license":"MIT"}},"version":1},"id":39}

deployment/11155111/v1/out/IPartyFlashCallback.sol/IPartyFlashCallback.json

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+{"abi":[{"type":"function","name":"partyFlashCallback","inputs":[{"name":"loanAmounts","type":"uint256[]","internalType":"uint256[]"},{"name":"repaymentAmounts","type":"uint256[]","internalType":"uint256[]"},{"name":"data","type":"bytes","internalType":"bytes"}],"outputs":[],"stateMutability":"nonpayable"}],"bytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"deployedBytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"methodIdentifiers":{"partyFlashCallback(uint256[],uint256[],bytes)":"f6c10706"},"rawMetadata":"{\"compiler\":{\"version\":\"0.8.30+commit.73712a01\"},\"language\":\"Solidity\",\"output\":{\"abi\":[{\"inputs\":[{\"internalType\":\"uint256[]\",\"name\":\"loanAmounts\",\"type\":\"uint256[]\"},{\"internalType\":\"uint256[]\",\"name\":\"repaymentAmounts\",\"type\":\"uint256[]\"},{\"internalType\":\"bytes\",\"name\":\"data\",\"type\":\"bytes\"}],\"name\":\"partyFlashCallback\",\"outputs\":[],\"stateMutability\":\"nonpayable\",\"type\":\"function\"}],\"devdoc\":{\"kind\":\"dev\",\"methods\":{},\"version\":1},\"userdoc\":{\"kind\":\"user\",\"methods\":{},\"version\":1}},\"settings\":{\"compilationTarget\":{\"src/IPartyFlashCallback.sol\":\"IPartyFlashCallback\"},\"evmVersion\":\"prague\",\"libraries\":{},\"metadata\":{\"bytecodeHash\":\"ipfs\"},\"optimizer\":{\"enabled\":true,\"runs\":100000000},\"remappings\":[\":@abdk/=lib/abdk-libraries-solidity/\",\":@openzeppelin/=lib/openzeppelin-contracts/\",\":abdk-libraries-solidity/=lib/abdk-libraries-solidity/\",\":erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/\",\":forge-std/=lib/forge-std/src/\",\":halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/\",\":openzeppelin-contracts/=lib/openzeppelin-contracts/\"],\"viaIR\":true},\"sources\":{\"src/IPartyFlashCallback.sol\":{\"keccak256\":\"0xff1d473d27c4dc75441a5f0db2d761916cce4a702f660e998467791efd1d9b2e\",\"license\":\"UNLICENSED\",\"urls\":[\"bzz-raw://3220d69c62ed8c8106762c92857f24011284e8ddcfa5db4210e506b112fa1870\",\"dweb:/ipfs/QmYoZiGsVwoJvyPMcsSste4tq93wVBgDqCZkwPY7dvyLBJ\"]}},\"version\":1}","metadata":{"compiler":{"version":"0.8.30+commit.73712a01"},"language":"Solidity","output":{"abi":[{"inputs":[{"internalType":"uint256[]","name":"loanAmounts","type":"uint256[]"},{"internalType":"uint256[]","name":"repaymentAmounts","type":"uint256[]"},{"internalType":"bytes","name":"data","type":"bytes"}],"stateMutability":"nonpayable","type":"function","name":"partyFlashCallback"}],"devdoc":{"kind":"dev","methods":{},"version":1},"userdoc":{"kind":"user","methods":{},"version":1}},"settings":{"remappings":["@abdk/=lib/abdk-libraries-solidity/","@openzeppelin/=lib/openzeppelin-contracts/","abdk-libraries-solidity/=lib/abdk-libraries-solidity/","erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/","forge-std/=lib/forge-std/src/","halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/","openzeppelin-contracts/=lib/openzeppelin-contracts/"],"optimizer":{"enabled":true,"runs":100000000},"metadata":{"bytecodeHash":"ipfs"},"compilationTarget":{"src/IPartyFlashCallback.sol":"IPartyFlashCallback"},"evmVersion":"prague","libraries":{},"viaIR":true},"sources":{"src/IPartyFlashCallback.sol":{"keccak256":"0xff1d473d27c4dc75441a5f0db2d761916cce4a702f660e998467791efd1d9b2e","urls":["bzz-raw://3220d69c62ed8c8106762c92857f24011284e8ddcfa5db4210e506b112fa1870","dweb:/ipfs/QmYoZiGsVwoJvyPMcsSste4tq93wVBgDqCZkwPY7dvyLBJ"],"license":"UNLICENSED"}},"version":1},"id":45}

deployment/11155111/v1/out/LMSRStabilized.sol/LMSRStabilized.json

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deployment/11155111/v1/out/LMSRStabilizedBalancedPair.sol/LMSRStabilizedBalancedPair.json

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deployment/11155111/v1/out/LowLevelCall.sol/LowLevelCall.json

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deployment/11155111/v1/out/OwnableInternal.sol/OwnableInternal.json

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deployment/11155111/v1/out/PartyPoolHelpers.sol/PartyPoolHelpers.json

@@ -0,0 +1 @@
+{"abi":[],"bytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"deployedBytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"methodIdentifiers":{},"rawMetadata":"{\"compiler\":{\"version\":\"0.8.30+commit.73712a01\"},\"language\":\"Solidity\",\"output\":{\"abi\":[],\"devdoc\":{\"kind\":\"dev\",\"methods\":{},\"version\":1},\"userdoc\":{\"kind\":\"user\",\"methods\":{},\"version\":1}},\"settings\":{\"compilationTarget\":{\"src/PartyPoolHelpers.sol\":\"PartyPoolHelpers\"},\"evmVersion\":\"prague\",\"libraries\":{},\"metadata\":{\"bytecodeHash\":\"ipfs\"},\"optimizer\":{\"enabled\":true,\"runs\":100000000},\"remappings\":[\":@abdk/=lib/abdk-libraries-solidity/\",\":@openzeppelin/=lib/openzeppelin-contracts/\",\":abdk-libraries-solidity/=lib/abdk-libraries-solidity/\",\":erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/\",\":forge-std/=lib/forge-std/src/\",\":halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/\",\":openzeppelin-contracts/=lib/openzeppelin-contracts/\"],\"viaIR\":true},\"sources\":{\"lib/abdk-libraries-solidity/ABDKMath64x64.sol\":{\"keccak256\":\"0x1364fdc24192b982f647c7fc68dcb2f6fc1b5e201843e773144bd23a76cb3b97\",\"license\":\"BSD-4-Clause\",\"urls\":[\"bzz-raw://490712cc07db32f274899b17aade9c975f06010848c21500b8a5ead6898e09c7\",\"dweb:/ipfs/QmZMPKjDgwCFSGdLWJW6g5E7hDLByA9hNjXzAwJ4GKTZvN\"]},\"src/PartyPoolHelpers.sol\":{\"keccak256\":\"0xd43b635d12b6684ae38a685eea4bc5783cebb3696514d8aafe3f4ce34f5e759c\",\"license\":\"UNLICENSED\",\"urls\":[\"bzz-raw://832046b365d443c4c1c715f98fe3de224e3ba82c67960053d51e6a79847c4af5\",\"dweb:/ipfs/QmZ4nWMwyYQzaBGF7rBE73GYTs4z3DRNYL1ZrGAsxN6RfP\"]}},\"version\":1}","metadata":{"compiler":{"version":"0.8.30+commit.73712a01"},"language":"Solidity","output":{"abi":[],"devdoc":{"kind":"dev","methods":{},"version":1},"userdoc":{"kind":"user","methods":{},"version":1}},"settings":{"remappings":["@abdk/=lib/abdk-libraries-solidity/","@openzeppelin/=lib/openzeppelin-contracts/","abdk-libraries-solidity/=lib/abdk-libraries-solidity/","erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/","forge-std/=lib/forge-std/src/","halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/","openzeppelin-contracts/=lib/openzeppelin-contracts/"],"optimizer":{"enabled":true,"runs":100000000},"metadata":{"bytecodeHash":"ipfs"},"compilationTarget":{"src/PartyPoolHelpers.sol":"PartyPoolHelpers"},"evmVersion":"prague","libraries":{},"viaIR":true},"sources":{"lib/abdk-libraries-solidity/ABDKMath64x64.sol":{"keccak256":"0x1364fdc24192b982f647c7fc68dcb2f6fc1b5e201843e773144bd23a76cb3b97","urls":["bzz-raw://490712cc07db32f274899b17aade9c975f06010848c21500b8a5ead6898e09c7","dweb:/ipfs/QmZMPKjDgwCFSGdLWJW6g5E7hDLByA9hNjXzAwJ4GKTZvN"],"license":"BSD-4-Clause"},"src/PartyPoolHelpers.sol":{"keccak256":"0xd43b635d12b6684ae38a685eea4bc5783cebb3696514d8aafe3f4ce34f5e759c","urls":["bzz-raw://832046b365d443c4c1c715f98fe3de224e3ba82c67960053d51e6a79847c4af5","dweb:/ipfs/QmZ4nWMwyYQzaBGF7rBE73GYTs4z3DRNYL1ZrGAsxN6RfP"],"license":"UNLICENSED"}},"version":1},"id":59}

deployment/11155111/v1/out/Proxy.sol/Proxy.json

@@ -0,0 +1 @@
+{"abi":[{"type":"fallback","stateMutability":"payable"}],"bytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"deployedBytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"methodIdentifiers":{},"rawMetadata":"{\"compiler\":{\"version\":\"0.8.30+commit.73712a01\"},\"language\":\"Solidity\",\"output\":{\"abi\":[{\"stateMutability\":\"payable\",\"type\":\"fallback\"}],\"devdoc\":{\"details\":\"This abstract contract provides a fallback function that delegates all calls to another contract using the EVM instruction `delegatecall`. We refer to the second contract as the _implementation_ behind the proxy, and it has to be specified by overriding the virtual {_implementation} function. Additionally, delegation to the implementation can be triggered manually through the {_fallback} function, or to a different contract through the {_delegate} function. The success and return data of the delegated call will be returned back to the caller of the proxy.\",\"kind\":\"dev\",\"methods\":{},\"version\":1},\"userdoc\":{\"kind\":\"user\",\"methods\":{},\"version\":1}},\"settings\":{\"compilationTarget\":{\"lib/openzeppelin-contracts/contracts/proxy/Proxy.sol\":\"Proxy\"},\"evmVersion\":\"prague\",\"libraries\":{},\"metadata\":{\"bytecodeHash\":\"ipfs\"},\"optimizer\":{\"enabled\":true,\"runs\":100000000},\"remappings\":[\":@abdk/=lib/abdk-libraries-solidity/\",\":@openzeppelin/=lib/openzeppelin-contracts/\",\":abdk-libraries-solidity/=lib/abdk-libraries-solidity/\",\":erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/\",\":forge-std/=lib/forge-std/src/\",\":halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/\",\":openzeppelin-contracts/=lib/openzeppelin-contracts/\"],\"viaIR\":true},\"sources\":{\"lib/openzeppelin-contracts/contracts/proxy/Proxy.sol\":{\"keccak256\":\"0x25f9b099413f805b4c4bbad8cc179326c10be237aec00349caf91524f8db0bbc\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://dcfb75af07ad33b1f8e966f793db3df8fbcfb14103ed3644c0c634658a8fd099\",\"dweb:/ipfs/QmPWamdkbcKwG3ah2G9TZtKHzQmjnunsWoPWr5KKfbrKNb\"]}},\"version\":1}","metadata":{"compiler":{"version":"0.8.30+commit.73712a01"},"language":"Solidity","output":{"abi":[{"inputs":[],"stateMutability":"payable","type":"fallback"}],"devdoc":{"kind":"dev","methods":{},"version":1},"userdoc":{"kind":"user","methods":{},"version":1}},"settings":{"remappings":["@abdk/=lib/abdk-libraries-solidity/","@openzeppelin/=lib/openzeppelin-contracts/","abdk-libraries-solidity/=lib/abdk-libraries-solidity/","erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/","forge-std/=lib/forge-std/src/","halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/","openzeppelin-contracts/=lib/openzeppelin-contracts/"],"optimizer":{"enabled":true,"runs":100000000},"metadata":{"bytecodeHash":"ipfs"},"compilationTarget":{"lib/openzeppelin-contracts/contracts/proxy/Proxy.sol":"Proxy"},"evmVersion":"prague","libraries":{},"viaIR":true},"sources":{"lib/openzeppelin-contracts/contracts/proxy/Proxy.sol":{"keccak256":"0x25f9b099413f805b4c4bbad8cc179326c10be237aec00349caf91524f8db0bbc","urls":["bzz-raw://dcfb75af07ad33b1f8e966f793db3df8fbcfb14103ed3644c0c634658a8fd099","dweb:/ipfs/QmPWamdkbcKwG3ah2G9TZtKHzQmjnunsWoPWr5KKfbrKNb"],"license":"MIT"}},"version":1},"id":28}

deployment/11155111/v1/out/ReentrancyGuard.sol/ReentrancyGuard.json

@@ -0,0 +1 @@
+{"abi":[{"type":"error","name":"ReentrancyGuardReentrantCall","inputs":[]}],"bytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"deployedBytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"methodIdentifiers":{},"rawMetadata":"{\"compiler\":{\"version\":\"0.8.30+commit.73712a01\"},\"language\":\"Solidity\",\"output\":{\"abi\":[{\"inputs\":[],\"name\":\"ReentrancyGuardReentrantCall\",\"type\":\"error\"}],\"devdoc\":{\"custom:stateless\":\"\",\"details\":\"Contract module that helps prevent reentrant calls to a function. Inheriting from `ReentrancyGuard` will make the {nonReentrant} modifier available, which can be applied to functions to make sure there are no nested (reentrant) calls to them. Note that because there is a single `nonReentrant` guard, functions marked as `nonReentrant` may not call one another. This can be worked around by making those functions `private`, and then adding `external` `nonReentrant` entry points to them. TIP: If EIP-1153 (transient storage) is available on the chain you're deploying at, consider using {ReentrancyGuardTransient} instead. TIP: If you would like to learn more about reentrancy and alternative ways to protect against it, check out our blog post https://blog.openzeppelin.com/reentrancy-after-istanbul/[Reentrancy After Istanbul]. IMPORTANT: Deprecated. This storage-based reentrancy guard will be removed and replaced by the {ReentrancyGuardTransient} variant in v6.0.\",\"errors\":{\"ReentrancyGuardReentrantCall()\":[{\"details\":\"Unauthorized reentrant call.\"}]},\"kind\":\"dev\",\"methods\":{},\"version\":1},\"userdoc\":{\"kind\":\"user\",\"methods\":{},\"version\":1}},\"settings\":{\"compilationTarget\":{\"lib/openzeppelin-contracts/contracts/utils/ReentrancyGuard.sol\":\"ReentrancyGuard\"},\"evmVersion\":\"prague\",\"libraries\":{},\"metadata\":{\"bytecodeHash\":\"ipfs\"},\"optimizer\":{\"enabled\":true,\"runs\":100000000},\"remappings\":[\":@abdk/=lib/abdk-libraries-solidity/\",\":@openzeppelin/=lib/openzeppelin-contracts/\",\":abdk-libraries-solidity/=lib/abdk-libraries-solidity/\",\":erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/\",\":forge-std/=lib/forge-std/src/\",\":halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/\",\":openzeppelin-contracts/=lib/openzeppelin-contracts/\"],\"viaIR\":true},\"sources\":{\"lib/openzeppelin-contracts/contracts/utils/ReentrancyGuard.sol\":{\"keccak256\":\"0x6f9ed073e3dab12233a79cd85153f72c9e0f99c1f5512f6d5b1ef09fb46abbb0\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://093d2a804b792a0000883c2215585963ed98ec4341b45bc4224844623387d161\",\"dweb:/ipfs/QmR5shjVosAoxdmY3EfkUWgFNV4CVUcbRNS7tkvbipssPX\"]},\"lib/openzeppelin-contracts/contracts/utils/StorageSlot.sol\":{\"keccak256\":\"0xcf74f855663ce2ae00ed8352666b7935f6cddea2932fdf2c3ecd30a9b1cd0e97\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://9f660b1f351b757dfe01438e59888f31f33ded3afcf5cb5b0d9bf9aa6f320a8b\",\"dweb:/ipfs/QmarDJ5hZEgBtCmmrVzEZWjub9769eD686jmzb2XpSU1cM\"]}},\"version\":1}","metadata":{"compiler":{"version":"0.8.30+commit.73712a01"},"language":"Solidity","output":{"abi":[{"inputs":[],"type":"error","name":"ReentrancyGuardReentrantCall"}],"devdoc":{"kind":"dev","methods":{},"version":1},"userdoc":{"kind":"user","methods":{},"version":1}},"settings":{"remappings":["@abdk/=lib/abdk-libraries-solidity/","@openzeppelin/=lib/openzeppelin-contracts/","abdk-libraries-solidity/=lib/abdk-libraries-solidity/","erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/","forge-std/=lib/forge-std/src/","halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/","openzeppelin-contracts/=lib/openzeppelin-contracts/"],"optimizer":{"enabled":true,"runs":100000000},"metadata":{"bytecodeHash":"ipfs"},"compilationTarget":{"lib/openzeppelin-contracts/contracts/utils/ReentrancyGuard.sol":"ReentrancyGuard"},"evmVersion":"prague","libraries":{},"viaIR":true},"sources":{"lib/openzeppelin-contracts/contracts/utils/ReentrancyGuard.sol":{"keccak256":"0x6f9ed073e3dab12233a79cd85153f72c9e0f99c1f5512f6d5b1ef09fb46abbb0","urls":["bzz-raw://093d2a804b792a0000883c2215585963ed98ec4341b45bc4224844623387d161","dweb:/ipfs/QmR5shjVosAoxdmY3EfkUWgFNV4CVUcbRNS7tkvbipssPX"],"license":"MIT"},"lib/openzeppelin-contracts/contracts/utils/StorageSlot.sol":{"keccak256":"0xcf74f855663ce2ae00ed8352666b7935f6cddea2932fdf2c3ecd30a9b1cd0e97","urls":["bzz-raw://9f660b1f351b757dfe01438e59888f31f33ded3afcf5cb5b0d9bf9aa6f320a8b","dweb:/ipfs/QmarDJ5hZEgBtCmmrVzEZWjub9769eD686jmzb2XpSU1cM"],"license":"MIT"}},"version":1},"id":37}

deployment/11155111/v1/out/StdChains.sol/StdChains.json

@@ -0,0 +1 @@
+{"abi":[],"bytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"deployedBytecode":{"object":"0x","sourceMap":"","linkReferences":{}},"methodIdentifiers":{},"rawMetadata":"{\"compiler\":{\"version\":\"0.8.30+commit.73712a01\"},\"language\":\"Solidity\",\"output\":{\"abi\":[],\"devdoc\":{\"kind\":\"dev\",\"methods\":{},\"version\":1},\"userdoc\":{\"kind\":\"user\",\"methods\":{},\"notice\":\"StdChains provides information about EVM compatible chains that can be used in scripts/tests. For each chain, the chain's name, chain ID, and a default RPC URL are provided. Chains are identified by their alias, which is the same as the alias in the `[rpc_endpoints]` section of the `foundry.toml` file. For best UX, ensure the alias in the `foundry.toml` file match the alias used in this contract, which can be found as the first argument to the `setChainWithDefaultRpcUrl` call in the `initializeStdChains` function. There are two main ways to use this contract:   1. Set a chain with `setChain(string memory chainAlias, ChainData memory chain)` or      `setChain(string memory chainAlias, Chain memory chain)`   2. Get a chain with `getChain(string memory chainAlias)` or `getChain(uint256 chainId)`. The first time either of those are used, chains are initialized with the default set of RPC URLs. This is done in `initializeStdChains`, which uses `setChainWithDefaultRpcUrl`. Defaults are recorded in `defaultRpcUrls`. The `setChain` function is straightforward, and it simply saves off the given chain data. The `getChain` methods use `getChainWithUpdatedRpcUrl` to return a chain. For example, let's say we want to retrieve the RPC URL for `mainnet`:   - If you have specified data with `setChain`, it will return that.   - If you have configured a mainnet RPC URL in `foundry.toml`, it will return the URL, provided it     is valid (e.g. a URL is specified, or an environment variable is given and exists).   - If neither of the above conditions is met, the default data is returned. Summarizing the above, the prioritization hierarchy is `setChain` -> `foundry.toml` -> environment variable -> defaults.\",\"version\":1}},\"settings\":{\"compilationTarget\":{\"lib/forge-std/src/StdChains.sol\":\"StdChains\"},\"evmVersion\":\"prague\",\"libraries\":{},\"metadata\":{\"bytecodeHash\":\"ipfs\"},\"optimizer\":{\"enabled\":true,\"runs\":100000000},\"remappings\":[\":@abdk/=lib/abdk-libraries-solidity/\",\":@openzeppelin/=lib/openzeppelin-contracts/\",\":abdk-libraries-solidity/=lib/abdk-libraries-solidity/\",\":erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/\",\":forge-std/=lib/forge-std/src/\",\":halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/\",\":openzeppelin-contracts/=lib/openzeppelin-contracts/\"],\"viaIR\":true},\"sources\":{\"lib/forge-std/src/StdChains.sol\":{\"keccak256\":\"0xb2cbca1a6ffa19926c31bad47393a070305c809fe5d88c52214d5c51ce0733c6\",\"license\":\"MIT\",\"urls\":[\"bzz-raw://cf20975cfd9733910305fc8e746c7631c2ab210289aab036cec32f3c530335c7\",\"dweb:/ipfs/QmYYvVzvAN1uCt8XtDmWo5x2inSVJBYajFexe92rVWEuMf\"]},\"lib/forge-std/src/Vm.sol\":{\"keccak256\":\"0x9b4df44a3b748593a58be7ba64fa5f420e5dcd7927bfa5173186228bfe61782f\",\"license\":\"MIT OR Apache-2.0\",\"urls\":[\"bzz-raw://b89fcf92ee1d14237cfb0dd949341053389d5b6a043ad77349b65bef80b1d59f\",\"dweb:/ipfs/QmPkia3aNHrqvE4tqxG2AyrdB4W91jTAvcbchgs2wAo6NL\"]}},\"version\":1}","metadata":{"compiler":{"version":"0.8.30+commit.73712a01"},"language":"Solidity","output":{"abi":[],"devdoc":{"kind":"dev","methods":{},"version":1},"userdoc":{"kind":"user","methods":{},"version":1}},"settings":{"remappings":["@abdk/=lib/abdk-libraries-solidity/","@openzeppelin/=lib/openzeppelin-contracts/","abdk-libraries-solidity/=lib/abdk-libraries-solidity/","erc4626-tests/=lib/openzeppelin-contracts/lib/erc4626-tests/","forge-std/=lib/forge-std/src/","halmos-cheatcodes/=lib/openzeppelin-contracts/lib/halmos-cheatcodes/src/","openzeppelin-contracts/=lib/openzeppelin-contracts/"],"optimizer":{"enabled":true,"runs":100000000},"metadata":{"bytecodeHash":"ipfs"},"compilationTarget":{"lib/forge-std/src/StdChains.sol":"StdChains"},"evmVersion":"prague","libraries":{},"viaIR":true},"sources":{"lib/forge-std/src/StdChains.sol":{"keccak256":"0xb2cbca1a6ffa19926c31bad47393a070305c809fe5d88c52214d5c51ce0733c6","urls":["bzz-raw://cf20975cfd9733910305fc8e746c7631c2ab210289aab036cec32f3c530335c7","dweb:/ipfs/QmYYvVzvAN1uCt8XtDmWo5x2inSVJBYajFexe92rVWEuMf"],"license":"MIT"},"lib/forge-std/src/Vm.sol":{"keccak256":"0x9b4df44a3b748593a58be7ba64fa5f420e5dcd7927bfa5173186228bfe61782f","urls":["bzz-raw://b89fcf92ee1d14237cfb0dd949341053389d5b6a043ad77349b65bef80b1d59f","dweb:/ipfs/QmPkia3aNHrqvE4tqxG2AyrdB4W91jTAvcbchgs2wAo6NL"],"license":"MIT OR Apache-2.0"}},"version":1},"id":4}

deployment/11155111/v1/out/StdCheats.sol/StdCheats.json

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deployment/11155111/v1/out/StdCheats.sol/StdCheatsSafe.json

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deployment/11155111/v1/out/StdJson.sol/stdJson.json

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deployment/11155111/v1/out/StdMath.sol/stdMath.json

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deployment/11155111/v1/out/StdStorage.sol/stdStorage.json

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deployment/11155111/v1/out/StdStyle.sol/StdStyle.json

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deployment/11155111/v1/out/StdToml.sol/stdToml.json

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deployment/11155111/v1/out/StdUtils.sol/StdUtils.json

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deployment/11155111/v1/out/StorageSlot.sol/StorageSlot.json

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deployment/11155111/v1/out/build-info/425098d9ecb6b837.json

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deployment/11155111/v1/out/build-info/94d187b8ff52264a.json

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deployment/11155111/v1/out/build-info/bc3908669ec8c50f.json

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deployment/11155111/v1/out/build-info/c5529240b2dab858.json

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deployment/11155111/v1/out/console.sol/console.json

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deployment/11155111/v1/out/safeconsole.sol/safeconsole.json

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deployment/liqp-deployments.json

@@ -0,0 +1,17 @@
+{
+  "11155111": {
+    "v1": {
+      "PartyPlanner": "0x0ad06C08ab5049e6Fd4d7f5AF457115A1475326b",
+      "PartyPoolViewer": "0x750d63a39a4ccfCfB69D2f5aFDa065909C717cAB",
+      "PartyPoolMintImpl": "0x25bb10BA84944F8aAEf1fD247C3B7Fe7271C23F9",
+      "PartyPoolSwapImpl": "0x69b4F102e0747f61F8529b3bbFf2FC4b27438d0F",
+      "PartyPoolDeployer": "0x0939F93BAa3c96226853F9F39A95beF48eA8fF04",
+      "PartyPoolBalancedPairDeployer": "0xfda454fF7876aad9408517Ed2F0d11AA229Ad0a4",
+      "USXD": "0x8E4D16886b8946dfE463fA172129eaBf4825fb09",
+      "FUSD": "0xdc225280216822CA956738390f589c794129bd53",
+      "DIVE": "0x7ba123e4e7395A361284d069bD0D545F3f820641",
+      "BUTC": "0x88125947BBF1A6dd0FeD4B257BB3f9E1FBdCb3Cc",
+      "WTETH": "0xC8dB65C0B9f4cf59097d4C5Bcb9e8E92B9e4e15F"
+    }
+  }
+}

doc/introduction.md

@@ -24,11 +24,14 @@ Naturally multi-asset, Liquidity Party altcoin pools provide direct, one-hop swa
 
 | Assets | Pairs | Swap Gas |  Mint Gas |
 |-------:|------:|---------:|----------:|
-|      2 |     1 |  146,000 |   149,000 |
-|     10 |    45 |  157,000 |   426,000 |
-|     20 |   190 |  171,000 |   772,000 |
-|     50 |  1225 |  213,000 | 1,810,000 |
-|    100 |  4950 |  283,000 | 3,542,000 |
+|      2 |     1 |  131,000 |   143,000 |
+|     2* |     1 |  118,000 |   143,000 |
+|     10 |    45 |  142,000 |   412,000 |
+|     20 |   190 |  157,000 |   749,000 |
+|     50 |  1225 |  199,000 | 1,760,000 |
+|    100 |  4950 |  269,000 | 2,684,000 |
+
+\* Stablecoin pair pool optimization
 
 Liquidity Party aggregates scarce, low market cap assets into a single pool, providing one-hop liquidity for exotic pairs without fragmenting LP assets. CP pools would need 190x the LP assets to provide the same pairwise liquidity as a single 20-asset Liquidity Party pool, due to asset fragmentation.
 

doc/whitepaper.md

@@ -0,0 +1,170 @@
+# LMSR-based Multi-Asset AMM
+
+## Abstract
+We present a multi-asset automated market maker whose pricing kernel is the Logarithmic Market Scoring Rule (LMSR) ([R. Hanson, 2002](https://mason.gmu.edu/~rhanson/mktscore.pdf)). The pool maintains the convex potential $C(\mathbf{q}) = b(\mathbf{q}) \log\!\Big(\sum_i e^{q_i / b(\mathbf{q})}\Big)$ over normalized inventories $\mathbf{q}$, and sets the effective liquidity parameter proportional to pool size as $b(\mathbf{q}) = \kappa \, S(\mathbf{q})$ with $S(\mathbf{q}) = \sum_i q_i$ and fixed $\kappa>0$. This proportional parameterization preserves scale-invariant responsiveness while retaining softmax-derived pairwise price ratios under a quasi-static-$b$ view, enabling any-to-any swaps within a single potential. We derive and use closed-form expressions for two-asset reductions to compute exact-in, exact-out, limit-hitting (swap-to-limit), and capped-output trades. We discuss stability techniques such as log-sum-exp, ratio-once shortcuts, and domain guards for fixed-point arithmetic. Liquidity operations (proportional and single-asset joins/exits) follow directly from the same potential and admit monotone, invertible mappings. Parameters are immutable post-deployment for transparency and predictable depth calibration.
+
+## Introduction and Motivation
+Multi-asset liquidity typically trades off simplicity and expressivity. Classical CFMMs define multiplicative invariants over reserves, while LMSR specifies a convex cost function whose gradient yields prices. Our goal is a multi-asset AMM that uses LMSR to support any-to-any swaps, shares risk across many assets, and scales depth predictably with pool size. By setting $b(\mathbf{q})=\kappa S(\mathbf{q})$, we achieve scale invariance: proportional rescaling of all balances scales $b$ proportionally and preserves pairwise price ratios, so the market’s responsiveness is consistent across liquidity regimes. The derivations below formulate instantaneous prices, closed-form swap mappings, limit logic, and liquidity operations tailored to this parameterization.
+
+## System Model and Pricing Kernel
+We consider $n\ge 2$ normalized assets with state vector $\mathbf{q}=(q_0,\dots,q_{n-1})\in\mathbb{R}_{\ge 0}^{\,n}$ and size metric $S(\mathbf{q})=\sum_i q_i$. The kernel is the LMSR cost function
+$$
+C(\mathbf{q}) = b(\mathbf{q}) \log\!\left(\sum_{i=0}^{n-1} e^{q_i / b(\mathbf{q})}\right), \qquad b(\mathbf{q})=\kappa\,S(\mathbf{q}),\quad \kappa>0.
+$$
+For numerical stability we evaluate $C$ with a log-sum-exp recentering. Let $y_i := q_i/b(\mathbf{q})$ and $M:=\max_i y_i$. Then
+$$
+C(\mathbf{q}) \;=\; b(\mathbf{q}) \left( M + \log \sum_{i=0}^{n-1} e^{\,y_i - M} \right),
+$$
+which prevents overflow/underflow when the $y_i$ are dispersed. Quantities are represented in fixed-point with explicit range and domain guards; equations are presented over the reals for clarity.
+
+## Gradient, Price Shares, and Pairwise Prices
+With $b$ treated as a constant parameter, the LMSR gradient recovers softmax shares
+$$
+\frac{\partial C}{\partial q_i} \;=\; \frac{e^{q_i/b}}{\sum_k e^{q_k/b}} \;=:\; \pi_i(\mathbf{q}),
+$$
+so that the ratio of marginal prices is $\pi_j/\pi_i = \exp\!\big((q_j-q_i)/b\big)$. When $b(\mathbf{q})=\kappa S(\mathbf{q})$ depends on state, $\frac{\partial C}{\partial q_i}$ acquires a common additive term across $i$ from $\partial b/\partial q_i$, but pairwise ratios remain governed by softmax differences. We therefore use a quasi-static-$b$ view for pricing steps, holding $b$ fixed at the pre-trade state for the infinitesimal move, and define the instantaneous pairwise marginal price ratio for exchanging $i$ into $j$ as
+$$
+P(i\to j \mid \mathbf{q}) \;=\; \exp\!\left(\frac{q_j - q_i}{b(\mathbf{q})}\right).
+$$
+This ratio drives swap computations and is invariant to proportional rescaling $\mathbf{q}\mapsto \lambda\mathbf{q}$ because $b$ scales by the same factor.
+
+## Two-Asset Reduction and Exact Swap Mappings
+Swaps are computed in the two-asset subspace spanned by the in-asset $i$ and out-asset $j$, with all other coordinates held fixed under a quasi-static-$b$ step. Let
+$$
+r_0 \;:=\; \exp\!\left(\frac{q_i - q_j}{b}\right), \qquad b \equiv b(\mathbf{q})\;\text{ held quasi-static}.
+$$
+Along the $i\!\to\! j$ path, the instantaneous ratio evolves multiplicatively as $r(t)=r_0\,e^{t/b}$ where $t$ denotes cumulative input of asset $i$. In the two-asset reduction the infinitesimal output satisfies
+$$
+\mathrm{d}y \;=\; \frac{r(t)}{1+r(t)}\,\mathrm{d}t.
+$$
+Integrating from $t=0$ to $t=a$ yields the exact-in closed form
+$$
+y(a) \;=\; b \,\ln\!\Big( 1 + r_0 \,\big(1 - e^{-a/b}\big) \Big).
+$$
+This mapping has $y(0)=0$, is strictly increasing and concave in $a$, and satisfies $y'(0)=\frac{r_0}{1+r_0}$ with asymptote $\lim_{a\to\infty} y = b\,\ln(1+r_0)$. The inverse exact-out mapping follows by solving for $a$ in terms of target $y$. Writing $E:=e^{y/b}$, we obtain
+$$
+a(y) \;=\; b \,\ln\!\left(\frac{r_0}{\,r_0 + 1 - E\,}\right),
+$$
+which is strictly increasing and convex for $y\in\big[0,\, b\ln(1+r_0)\big]$. These two expressions are the workhorses for exact-in and exact-out swaps in our kernel.
+
+## Price Limits, Swap-to-Limit, and Capacity Caps
+Users may provide a maximum acceptable marginal price ratio $\Lambda>0$ for $p_i/p_j$. The marginal ratio trajectory $r(t)=r_0 e^{t/b}$ first reaches the limit at the unique
+$$
+a_{\text{lim}} \;=\; b \,\ln\!\left(\frac{\Lambda}{r_0}\right),
+$$
+and the output realized at that truncation is
+$$
+y_{\text{lim}} \;=\; b \,\ln\!\Big( 1 + r_0 \,\big(1 - r_0/\Lambda\big) \Big).
+$$
+Outputs are further bounded by available inventory; if a computed $y$ would exceed $q_j$, we cap at $y=q_j$ and compute the implied input by inverting the exact-out formula,
+$$
+a_{\text{cap}} \;=\; b \,\ln\!\left(\frac{r_0}{\,r_0 + 1 - e^{\,q_j/b}\,}\right).
+$$
+These limit and capacity branches ensure monotone, conservative behavior near domain edges.
+
+## Liquidity Operations from the Same Potential
+Liquidity is accounted via pool shares $L$ taken proportional to the size metric, and we set $L=S(\mathbf{q})$ without loss of generality. At initialization with seed balances $\mathbf{q}^{(0)}$ the pool sets $L^{(0)}=S^{(0)}$ and $b^{(0)}=\kappa S^{(0)}$. A proportional deposit that scales balances to $\mathbf{q}'=(1+\alpha)\mathbf{q}$ mints $\Delta L = \alpha S(\mathbf{q})$ shares and scales liquidity to $b'=(1+\alpha)b$. Single-asset deposits target a proportional growth while rebalancing through kernel swaps: providing amount $a$ of asset $i$ induces a growth factor $\alpha\ge 0$ satisfying the monotone equation
+$$
+a \;=\; a_{\text{req}}(\alpha) \;=\; \alpha q_i \;+\; \sum_{j\ne i} b \,\ln\!\left(\frac{r_{0,j}}{\,r_{0,j} + 1 - e^{\,\alpha q_j/b}\,}\right), \quad r_{0,j}:=\exp\!\left(\frac{q_i-q_j}{b}\right),
+$$
+and mints $\Delta L=\alpha S(\mathbf{q})$ upon the unique solution. Proportional withdrawals burn $\Delta L$ and return $\alpha=\Delta L/S(\mathbf{q})$ of each asset, updating $b$ to $(1-\alpha)b$. Single-asset withdrawals redeem $\alpha q_i$ directly and swap each redeemed $\alpha q_j$ for $j\ne i$ into $i$ using the exact-in mapping evaluated on the local post-burn state; any capacity overrun is handled by a cap-and-invert branch as above. Because all operations reduce to the same two-asset closed forms, they inherit monotonicity and uniqueness.
+
+### Single-Asset Mint and Redeem
+
+#### Single-Asset Mint
+Given a deposit of amount $a>0$ of asset $i$, the pool targets a proportional growth factor $\alpha \ge 0$ so that the post-mint state can be rebalanced to $(1+\alpha)\,\mathbf{q}$ using fee-free kernel swaps from $i$ into each $j\ne i$. For each $j\ne i$, let $y_j := \alpha\,q_j$ and define $r_{0,j} := \exp\!\big((q_i - q_j)/b\big)$. The input required to realize $y_j$ via the exact-out inverse is
+$$
+x_j(\alpha) \;=\; b \,\ln\!\left(\frac{r_{0,j}}{\,r_{0,j} + 1 - e^{\,y_j/b}\,}\right),
+$$
+so the total required input for growth $\alpha$ is
+$$
+a_{\text{req}}(\alpha) \;=\; \alpha\,q_i \;+\; \sum_{j\ne i} x_j(\alpha).
+$$
+Properties and solver:
+- Monotonicity: $a_{\text{req}}(\alpha)$ is strictly increasing on its feasible domain, guaranteeing a unique solution.
+- Solver: bracket $\alpha$ (e.g., start from $\alpha\sim a/S$ and double until $a_{\text{req}}(\alpha)\ge a$ or a safety cap), then bisection to a small tolerance $\varepsilon$ (e.g., $\sim10^{-6}$ in fixed-point units).
+- Guards: enforce $b>0$, $e^{y_j/b}$ within range, and positivity of the denominator $r_{0,j}+1-e^{y_j/b}$; if a guard would be violated for some $j$, treat that path as infeasible and adjust the bracket.
+- Outcome: the consumed input is $a_{\text{in}} = a_{\text{req}}(\alpha^\star) \le a$ and minted LP shares are $\Delta L = \alpha^\star S(\mathbf{q})$.
+
+#### Single-Asset Redeem
+Burning a proportional share $\alpha \in (0,1]$ returns a single asset $i$ by redeeming and rebalancing from other assets into $i$:
+1) Form the local state after burn, $\mathbf{q}_{\text{local}}=(1-\alpha)\,\mathbf{q}$.
+2) Start with the direct redemption $\alpha\,q_i$ in asset $i$.
+3) For each $j\ne i$, withdraw $a_j := \alpha\,q_j$ and swap $j\to i$ using the exact-in form evaluated at $\mathbf{q}_{\text{local}}$:
+$$
+r_{0,j} \;=\; \exp\!\left(\frac{q^{\text{local}}_j - q^{\text{local}}_i}{b}\right),\qquad
+y_{j\to i} \;=\; b \,\ln\!\Big(1 + r_{0,j}\,\big(1 - e^{-a_j/b}\big)\Big).
+$$
+4) Capacity cap and inverse: if $y_{j\to i} > q^{\text{local}}_i$, cap to $y=q^{\text{local}}_i$ and solve the implied input via
+$$
+a_{j,\text{used}} \;=\; b \,\ln\!\left(\frac{r_{0,j}}{\,r_{0,j} + 1 - e^{\,q^{\text{local}}_i/b}\,}\right),
+$$
+then update $\mathbf{q}_{\text{local}}$ accordingly.
+5) The single-asset payout is
+$$
+Y_i \;=\; \alpha\,q_i \;+\; \sum_{j\ne i} y_{j\to i}, \qquad \text{with LP burned } L_{\text{in}} = \alpha \, S(\mathbf{q}).
+$$
+Guards and behavior:
+- Enforce $b>0$, positivity of inner terms (e.g., $r_{0,j} + 1 - e^{y/b} > 0$), and safe exponent ranges; treat any per-asset numerical failure as zero contribution rather than aborting the whole redeem.
+- The mapping is monotone in $\alpha$; the cap-and-invert branch preserves safety near capacity.
+
+### LP Pricing vs. an Asset Token
+With LP supply set to $L=S(\mathbf{q})$, the instantaneous price of one LP share in units of asset $k$ aggregates marginal exchange rates from each asset into $k$:
+$$
+P_L^{(k)}(\mathbf{q}) \;=\; \frac{1}{S(\mathbf{q})}\,\sum_{j=0}^{n-1} q_j \,\exp\!\left(\frac{q_j - q_k}{b(\mathbf{q})}\right).
+$$
+Interpretation: proportional deposits leave $P_L^{(k)}$ unchanged; swap fees retained in the pool increase $S$ relative to outstanding $L$, raising $P_L^{(k)}$ (implicit fee accrual). This expression helps LPs and integrators reason about share valuation and dilution across assets.
+
+## Numerical Methods and Safety Guarantees
+We evaluate log-sum-exp with recentring, compute ratios like $r_0=\exp((q_i-q_j)/b)$ directly rather than dividing exponentials, and guard all $\exp$ and $\ln$ calls to bounded domains with explicit checks on positivity of inner terms such as $r_0+1-e^{y/b}$. Fixed-point implementations precompute reciprocals like $1/b$ to reduce dispersion, clamp to capacity before inversion, and select cap-and-invert rather than extrapolating when inner terms approach zero. These measures ensure the swap maps remain strictly order-preserving and free of nonphysical outputs. Property-based and differential testing can confirm monotonicity of $y(a)$ and $a(y)$, uniqueness of limit hits when $\Lambda>r_0$, and adherence to predefined error budgets.
+
+## Balanced Regime Optimization: Approximations, Dispatcher, and Stability
+Since transcendental operations are gas-expensive on EVM chains, we use polynomial approximations in near-balanced regimes (e.g., stable-asset pairs) while preserving monotonicity and domain safety. Parameterize $\delta := (q_i - q_j)/b$ and $\tau := a/b$ for an $i\!\to\! j$ exact-in step. The exact mapping
+$$
+y(a) \;=\; b \,\ln\!\Big(1 + e^{\delta}\,\big(1 - e^{-\tau}\big)\Big)
+$$
+admits small-argument expansions for $|\delta|\ll 1$ and $|\tau|\ll 1$. Using $e^{\pm x}\approx 1\pm x+\tfrac{x^2}{2}$ and $\ln(1+u)\approx u - \tfrac{u^2}{2}$, we obtain
+$$
+y(a) \;\approx\; b \left[ r_0 \tau - \tfrac{1}{2} r_0 \tau^2 \right] + \mathcal{O}\!\left(\tau^3,\, |\delta|\,\tau^2\right), \qquad r_0=e^{\delta}\approx 1+\delta+\tfrac{\delta^2}{2},
+$$
+and at $\delta=0$ the symmetry reduces to $y(a)\approx \tfrac{a}{2} - \tfrac{a^2}{4b} + \cdots$.
+
+### Dispatcher preconditions and thresholds (approx path):
+- Scope: two-asset pools only; otherwise use the exact path.
+- Magnitude bounds: $|\delta| \le 0.01$ and $\tau := a/b$ satisfies $0 < \tau \le 0.5$.
+- Tiering: use the quadratic surrogate for $\tau \le 0.1$, and include a cubic correction for $0.1 < \tau \le 0.5$.
+- Limit-price gate: approximate the limit truncation only when a positive limit is provided with $\Lambda>r_0$ and $|(\Lambda/r_0)-1| \le 0.1$; otherwise compute the limit exactly (or reject if $\Lambda \le r_0$).
+- Capacity and positivity: require $b>0$ and $a>0$, and ensure the approximated output $\tilde{y}(a) \le q_j$; otherwise fall back to the exact cap-and-invert.
+- Example thresholds: $\delta_\star=0.01$, $\tau_{\text{tier1}}=0.1$, $\tau_\star=0.5$, and an auxiliary limit-ratio gate $|x| \le 0.1$ where $x=(\Lambda/r_0)-1$ (for reference, $e^{\delta_\star}\approx 1.01005$).
+
+### Approximation Path
+- Replace $\exp$ on the bounded $\tau$ domain and $\ln(1+\cdot)$ with verified polynomials to meet a global error budget while maintaining $\tilde{y}'(a)>0$ on the domain.
+- Cache common subexpressions (e.g., $r_0=e^\delta$, $\tau=a/b$) and guard inner terms to remain in $(0,\infty)$.
+
+### Fallback Policy
+- If any precondition fails (magnitude, domain, capacity, or limit binding), evaluate the exact closed forms for $y(a)$ or $a(y)$ (with cap and limit branches), preserving monotonicity and uniqueness.
+- Prefer cap-and-invert near capacity or when the inner term of $\ln(\cdot)$ approaches zero.
+
+### Error Shape
+- The small-argument expansion above shows the leading behavior; when using polynomial surrogates, the composed relative error can be kept within a target $\epsilon$ with degrees chosen for the specified $(\delta_\star,\tau_\star,u_\star)$, yielding an error budget of the form $\epsilon \approx \epsilon_{\exp} + \epsilon_{\ln} + c_1 \tau_\star + c_2 |\delta_\star| \tau_\star$ for modest constants $c_1,c_2$.
+- These bounds ensure the approximated path remains order-preserving and safely within domain; outside the domain, the dispatcher reverts to the exact path.
+- Regardless of path, our policy prioritizes monotonicity, domain safety, and conservative decisions at boundaries.
+
+## Fees and Economic Considerations
+Swap fees are applied outside the fee-free kernel. For an exact-in submission $a$ on asset $i$, the effective kernel input is $a_{\text{eff}}=(1-f_{\text{swap}})a$. The kernel computes output using $a_{\text{eff}}$, while the retained fee remains in the pool, increasing $S(\mathbf{q})$ relative to outstanding $L$ and thereby accruing value to LPs implicitly. Scale invariance under $b=\kappa S$ implies that proportional growth of inventories preserves price ratios while deepening notional liquidity linearly. The classical LMSR bounded-loss intuition for constant $b$ gives $b\ln n$ in appropriate units; under our proportional $b$, this scales with $S$, so the instantaneous bound per unit of $S$ is proportional to $\kappa\ln n$.
+
+## Risk Management and Bounded Loss
+Under constant $b$, classical LMSR admits a worst-case loss bound of $b \ln n$ in the payoff numéraire. With $b(\mathbf{q})=\kappa S(\mathbf{q})$, the per-state bound scales with the current size metric, giving an instantaneous worst-case loss $b(\mathbf{q}) \ln n = \kappa\,S(\mathbf{q})\,\ln n$; per unit of size $S$ this is $\kappa \ln n$. Because $b$ varies with state, global worst-case loss along an arbitrary path depends on how $S$ evolves, but the proportionality clarifies how risk scales with liquidity. Operational mitigations include user price limits (swap-to-limit), capacity caps on outputs ($y \le q_j$), minimum bootstrap $S^{(0)}$ to avoid thin-liquidity regimes, and strict numerical guards (e.g., positivity of inner logarithm arguments) to prevent nonphysical states.
+
+## Deployment and Parameter Fixity
+The parameter tuple $(\kappa, f_{\text{swap}}, \phi)$ is set at deployment and remains immutable, with $\kappa>0$ defining $b(\mathbf{q})=\kappa S(\mathbf{q})$, $f_{\text{swap}}$ the swap fee rate, and $\phi$ the protocol share of fees. Given the initial state $\mathbf{q}^{(0)}$ with $S^{(0)}>0$, the induced pricing map is fully determined by
+$$
+C(\mathbf{q}) = b(\mathbf{q}) \log\!\left(\sum_i e^{q_i / b(\mathbf{q})}\right), \qquad b(\mathbf{q})=\kappa S(\mathbf{q}),
+$$
+and the two-asset closed forms above. Fixity eliminates governance risk, makes depth calibration transparent, and simplifies integration for external routers and valuation tools.
+
+## Conclusion
+By coupling LMSR with the proportional parameterization $b(\mathbf{q})=\kappa S(\mathbf{q})$, we obtain a multi-asset AMM that preserves softmax-driven price ratios under a quasi-static-$b$ view and supports any-to-any swaps via a single convex potential. Exact two-asset reductions yield closed-form mappings for exact-in, exact-out, limit-hitting, and capped-output trades, and the same formulas underpin liquidity operations with monotonicity and uniqueness. Numerical stability follows from log-sum-exp evaluation, ratio-first derivations, guarded transcendental domains, and optional near-balance approximations, while fixed parameters provide predictable scaling and transparent economics.
+
+## References
+Hanson, R. (2002) [_Logarithmic Market Scoring Rules for Modular Combinatorial Information Aggregation_](https://mason.gmu.edu/~rhanson/mktscore.pdf)

foundry.lock

@@ -0,0 +1,11 @@
+{
+  "lib/abdk-libraries-solidity": {
+    "rev": "5e1e7c11b35f8313d3f7ce11c1b86320d7c0b554"
+  },
+  "lib/forge-std": {
+    "rev": "8bbcf6e3f8f62f419e5429a0bd89331c85c37824"
+  },
+  "lib/openzeppelin-contracts": {
+    "rev": "c64a1edb67b6e3f4a15cca8909c9482ad33a02b0"
+  }
+}

foundry.toml

@@ -7,10 +7,10 @@ remappings = [
     '@abdk/=lib/abdk-libraries-solidity/',
 ]
 optimizer=true
-optimizer_runs=999999999
+optimizer_runs=100000000 # maximum value allowed by etherscan's verifier XD. The max value is formally 2^32-1
 viaIR=true
-gas_reports = ['PartyPool', 'PartyPlanner', 'PartyPoolSwapMintImpl', 'PartyPoolMintImpl',]
-fs_permissions = [{ access = "write", path = "chain.json"}]
+gas_reports = ['PartyPool', 'PartyPoolBalancedPair', 'PartyPlanner', 'PartyPoolSwapImpl', 'PartyPoolMintImpl',]
+fs_permissions = [{ access = "write", path = "liqp-deployments.json"}]
 
 [lint]
 lint_on_build=false  # more annoying than helpful

research/gas_data.csv

@@ -0,0 +1,117 @@
+gas
+194497
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+161946
+166894
+180206
+208602
+208602
+104267
+150405
+188431
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+153240
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+181706

research/pool_design.py

@@ -0,0 +1,262 @@
+import logging
+import math
+
+import matplotlib.pyplot as plt
+import pandas as pd
+import numpy as np
+
+log = logging.getLogger(__name__)
+
+LMSR_FEE = 0.0025
+# UNISWAP_GAS=0
+# LMSR_GAS=0
+UNISWAP_GAS=115_000
+LMSR_GAS=150_000
+ETH_PRICE=4000
+UNISWAP_GAS_COST=UNISWAP_GAS*ETH_PRICE/1e9
+LMSR_GAS_COST=LMSR_GAS*ETH_PRICE/1e9
+
+
+print(f'   LMSR gas: ${LMSR_GAS_COST:.2}')
+print(f'Uniswap gas: ${UNISWAP_GAS_COST:.2}')
+
+
+def lmsr_swap_amount_out(
+    balances,
+    amount_in,
+    token_in_index,
+    token_out_index,
+    lp_fee,
+    kappa,
+):
+    """
+    Compute the LMSR kernel fee-free amountOut for swapping `amount_in` of token `token_in_index`
+    into token `token_out_index`, applying lp_fee to the input amount (i.e., amount_in_net = amount_in * (1 - lp_fee)).
+    Uses native Python floats for performance and simplicity.
+
+    Notes on congruence with PartyPool / LMSRStabilized:
+    - The kernel formula implemented here matches the LMSR closed-form:
+        amountOut = b * ln(1 + r0 * (1 - exp(-a / b)))
+      where r0 = exp((q_i - q_j) / b) and b = kappa * S (S = sum balances).
+    - lp_fee is applied to the input before the kernel (fee-on-input), matching PartyPool's placement.
+    - This function uses continuous float arithmetic and does NOT emulate
+      PartyPool's integer/unit conversions or rounding (floor/ceil) and ppm fee quantization.
+
+    Parameters:
+    - balances: iterable of per-token balances (numbers). These represent q_i in internal units.
+    - amount_in: input amount supplied by swapper (before fees).
+    - token_in_index: index of the input token i.
+    - token_out_index: index of the output token j.
+    - lp_fee: fractional LP fee applied to the input (e.g., 0.003).
+    - kappa: liquidity parameter κ (must be positive, in same units as balances).
+
+    Returns:
+    - float: net amountOut (exclusive of fees) the swapper receives from the pool (capped at pool balance).
+    """
+    # Normalize and validate inputs (convert to floats)
+    try:
+        q = [float(x) for x in balances]
+        a_in = float(amount_in)
+        lpf = float(lp_fee)
+        k = float(kappa)
+    except (TypeError, ValueError) as e:
+        raise ValueError("Invalid numeric input") from e
+
+    n = len(q)
+    if not (0 <= token_in_index < n and 0 <= token_out_index < n):
+        raise IndexError("token indices out of range")
+
+    if a_in <= 0.0:
+        return 0.0
+
+    if k <= 0.0:
+        raise ValueError("kappa must be positive")
+
+    # Size metric S = sum q_i
+    S = sum(q)
+    if S <= 0.0:
+        raise ValueError("size metric (sum balances) must be positive")
+
+    # b = kappa * S
+    b = k * S
+    if b <= 0.0:
+        raise ValueError("computed b must be positive")
+
+    # Apply LP fee on the input amount (kernel is fee-free; wrapper handles fees)
+    if not (0.0 <= lpf < 1.0):
+        raise ValueError("lp_fee must be in [0, 1)")
+    a_net = a_in * (1.0 - lpf)
+    if a_net <= 0.0:
+        return 0.0
+
+    qi = q[token_in_index]
+    qj = q[token_out_index]
+
+    # Guard: output asset must have non-zero effective reserve
+    if qj <= 0.0:
+        # No available output to withdraw
+        return 0.0
+
+    # Compute r0 = exp((q_j - q_i) / b) so small-trade out/in ≈ marginal price p_j/p_i
+    try:
+        r0 = math.exp((qj - qi) / b)
+    except OverflowError:
+        raise ArithmeticError("exponential overflow in r0 computation")
+
+    # Compute a/b
+    a_over_b = a_net / b
+
+    # exp(-a/b)
+    try:
+        exp_neg = math.exp(-a_over_b)
+    except OverflowError:
+        # If exp would underflow/overflow, treat exp(-a/b) as 0 in extreme case
+        exp_neg = 0.0
+
+    # inner = 1 + r0 * (1 - exp(-a/b))
+    inner = 1.0 + r0 * (1.0 - exp_neg)
+
+    # If inner <= 0, cap to available balance qj
+    if inner <= 0.0:
+        return float(qj)
+
+    # amountOut = b * ln(inner)
+    try:
+        ln_inner = math.log(inner)
+    except (ValueError, OverflowError):
+        # Numeric issue computing ln; be conservative and return 0
+        return 0.0
+
+    amount_out = b * ln_inner
+
+    # Safety: non-positive output -> return zero
+    if amount_out <= 0.0:
+        return 0.0
+
+    # Cap output to pool's current balance qj (cannot withdraw more than available)
+    if amount_out > qj:
+        return float(qj)
+
+    return float(amount_out)
+
+def lmsr_marginal_price(balances, base_index, quote_index, kappa):
+    """
+    Compute the LMSR marginal price ratio p_quote / p_base for the given balances state.
+
+    Formula:
+      b = kappa * S, where S = sum(balances)
+      price = exp((q_quote - q_base) / b)
+
+    Parameters:
+    - balances: iterable of per-token balances (q_i)
+    - base_index: index of the base token
+    - quote_index: index of the quote token
+    - kappa: liquidity parameter κ (must be positive)
+
+    Returns:
+    - float: marginal price p_quote / p_base
+    """
+    try:
+        q = [float(x) for x in balances]
+        k = float(kappa)
+    except (TypeError, ValueError) as e:
+        raise ValueError("Invalid numeric input") from e
+
+    n = len(q)
+    if not (0 <= base_index < n and 0 <= quote_index < n):
+        raise IndexError("token indices out of range")
+    if k <= 0.0:
+        raise ValueError("kappa must be positive")
+
+    S = sum(q)
+    if S <= 0.0:
+        raise ValueError("size metric (sum balances) must be positive")
+
+    b = k * S
+    if b <= 0.0:
+        raise ValueError("computed b must be positive")
+
+    return float(math.exp((q[quote_index] - q[base_index]) / b))
+
+
+
+def compare(file, tvl, kappa):
+    d = pd.read_csv(file)
+    d.columns = ['block', 'price0', 'price1', 'in0', 'out0', 'rate']
+
+    # Calibrate LMSR balances so that exp((q1 - q0)/b) equals the initial price
+    p0 = float(d.iloc[0].price0)
+    S = float(tvl)  # choose the LMSR size metric
+    b = kappa * S
+    delta = b * math.log(p0)  # q1 - q0
+    q0 = 0.5 * (S - delta)
+    q1 = 0.5 * (S + delta)
+    if q0 <= 0.0 or q1 <= 0.0:
+        raise ValueError("Invalid LMSR calibration: choose kappa such that kappa * ln(price0) < 1.")
+    balances = [q0, q1]
+    print(balances)
+    X = np.geomspace(1, 1_000_000, 100)
+    orig_price = lmsr_marginal_price(balances, 0, 1, kappa)
+    in_out = [(float(amount_in), lmsr_swap_amount_out(balances, float(amount_in), 0, 1, LMSR_FEE, kappa)) for amount_in in X]
+    print(in_out)
+    # Relative execution price deviation from the initial marginal price:
+    # slippage = |(amount_out/amount_in)/orig_price - 1|
+    eps = 1e-12
+    Y = [max(eps, abs((amount_out / amount_in) / orig_price - 1.0))
+         for amount_in, amount_out in in_out]
+    plt.plot(X, Y, label=f'LMSR {LMSR_FEE:.2%} κ={kappa:.2f}', color='cornflowerblue')
+
+    # Uniswap execution price deviation from its initial quoted price:
+    # slippage = |(out/in)/initial_price - 1|
+    uniswap_exec_price0 = d.out0 / d.in0
+    uniswap_slippage0 = (uniswap_exec_price0 / d.iloc[0].price0 - 1.0).abs().clip(lower=1e-12)
+    uniswap_fee = round(uniswap_slippage0.iloc[0], 6)
+    plt.plot(d.in0, uniswap_slippage0, label=f'Uniswap {uniswap_fee:.2%}', color='hotpink')
+    # uniswap_slippage1 = |(out1/in1)/price1 - 1|
+    # plt.plot(d.in1, (d.out1 / d.in1 / d.iloc[0].price1 - 1.0).abs().clip(lower=1e-12), label='CP1')
+
+    # Interpolate Uniswap slippage to match LMSR x-coordinates
+    interp_uniswap = np.interp(X, d.in0, uniswap_slippage0)
+    mask = Y < interp_uniswap
+    plt.fill_between(X, 0, 1, where=mask, alpha=0.2, color='green')
+
+    plt.xscale('log')
+    plt.yscale('log')
+    plt.gca().xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _: '{:g}'.format(x)))
+    plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.2%}'.format(y)))
+    plt.gca().set_ylim(top=.1)
+    plt.xlabel('Input Amount')
+    plt.ylabel('Slippage')
+    plt.title('Pool Slippages')
+    plt.grid(True)
+    plt.legend()
+    plt.show()
+
+
+def plot_kappa():
+    X = np.geomspace(1, 10_000_000, 100)
+    for kappa in np.geomspace(0.01, 100, 8):
+        balance0 = 1_000_000  # estimated from the production pool
+        balances = [balance0, balance0]
+        Y = [1 -
+             lmsr_swap_amount_out(balances, float(amount_in), 0, 1, 0.000010, kappa)
+             / amount_in
+             for amount_in in X]
+        plt.plot(X / balance0, Y, label=f'{kappa:f}')
+    plt.xscale('log')
+    plt.yscale('log')
+    plt.gca().xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _: '{:.2f}'.format(10000*x)))
+    plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.2%}'.format(y)))
+    plt.xlabel('Input Amount (basis points of initial balance)')
+    plt.ylabel('Slippage')
+    plt.title('Pool Slippages by Kappa')
+    plt.grid(True)
+    plt.legend()
+    plt.show()
+
+
+if __name__ == '__main__':
+    # compare('uni4_quotes/swap_results_block_23640998.csv')
+    # compare('uni4_quotes/ETH-USDC-30.csv', 53_000_000, 0.1)
+    compare('uni4_quotes/ETH-USDC-30.csv', 1_00_000, .1)
+    # plot_kappa()