Additional useful operations for Python
MulDiv64
: calculatem1*m2/d
with no overflow on multiplication (TEAL 3+)Uint64Array
: for when you need convenient integer arrays.Mul128
,FastExp
: Optimize operations that take uints and output bytes (big ints)Min
,Max
: calculate minimum/maximum of 2 expressions, without using slots or evaluating arguments more than once (TEAL 4+)LazyAnd
,LazyOr
: lazily evaluate arguments in And/Or operationSaturatingAdd
,SaturatingSub
: saturating addition/subtractionAutoLoadScratchVar
: more convenient way to use scratch variables. Removes the need to use.load()
everytime, adds.increment()
method.- Inner Transactions: simplified making of inner transactions
MakeInnerPaymentTxn
,MakeInnerAssetTransferTxn
and more!MakeInnerGroupTxn
to execute inner atomic group transactions
SerializeIntegers
,DeserializeIntegers
,DeserializeIntegersToSlots
: serialize/deserialize integers to/from bytesGlobalState
,LocalState
,GlobalStateArray
,LocalStateArray
,GlobalStateArray2D
,LocalStateArray2D
: easily access global/local state
GlobalState
and LocalState
allow for manipulating global and local state respectively.
They both have the same interface.
from pyteal import App, Bytes, Int, Seq, TealType
from pytealext import LocalState
user_counter = LocalState("UC", TealType.uint64)
program = Seq(
# increment using pyteal local state
App.localPut(Int(0), Bytes("UC"), App.localGet(Int(0), Bytes("UC")) + Int(1)),
# increment using put/get
user_counter.put(user_counter.get() + Int(1)),
# increment using add_assign
user_counter.add_assign(Int(1))
# decrement
user_counter.sub_assign(Int(1))
)
Want to simulate arrays in the global state? Use GlobalStateArray
and LocalStateArray
.
Technically, the indexes can be any uint64 value and don't have to be sequential.
Each array element takes one slot in the local/global state.
from pyteal import Assert, For, Int, Return, ScratchVar, Seq
from pytealext import LocalStateArray
user_counters = LocalStateArray("Counters")
i = ScratchVar()
accumulator = ScratchVar()
program = Seq(
user_counters[0].put(Int(10)),
user_counters[0].add_assign(Int(1)),
user_counters[0].sub_assign(Int(2)),
Assert(user_counters[0].get() == Int(9)),
# set some other indexes
user_counters[1].put(Int(9)),
user_counters[2].put(Int(9)),
# Indexes can also be accessed with Exprs
accumulator.store(Int(0)),
For(i.store(Int(0)), i.load() < Int(3), i.store(i.load() + Int(1))).Do(
accumulator.store(accumulator.load() + user_counters[i.load()].get())
),
Return(accumulator.load() == Int(27)),
)
Example usage for LazyAnd
:
from pyteal import Gtxn, TxnType, Bytes, Int
from pytealext import LazyAnd
# Evaluate fields of some transaction but don't panic if an argument down the line would panic
validation = LazyAnd(
Gtxn[0].type_enum() == TxnType.ApplicationCall,
Gtxn[0].application_args.length() == Int(1),
Gtxn[0].application_args[0] == Bytes("AX"),
)
pip install pytealext
pytest
Created by Łukasz Ptak and Paweł Rejkowicz