Currently, we convert array<Int> to array<BigInt>
For example, the input array_sum([1, 2, 3]) can match function array_sum(Array<Int>) as well as array_sum(Array<BigInt>).
But when a function has more than one argument, the function may be match incorrectly.
For example, the input array_contains([1, 2, 3], 2147483648) will match the function array_contains(Array<BigInt>, BigInt), but the correct match should be array_contains(Array<Int>, Int)
The correct match should be:
array_contains([1, 2, 3], 1) match array_contains(Array<Int>, Int)
array_contains([1, 2, 3], 2147483648) match array_contains(Array<Int>, Int)
array_contains([2147483648, 2147483649, 2147483650], 2147483648) match array_contains(Array<BigInt>, BigInt)
now is:
array_contains([1, 2, 3], 1) match array_contains(Array<Int>, Int)
array_contains([1, 2, 3], 2147483648) match array_contains(Array<BigInt>, BigInt)
array_contains([2147483648, 2147483649, 2147483650], 2147483648) match array_contains(Array<BigInt>, BigInt)
And this will cause some trouble.
Assume that there are two functions being defined:
Int array_functions(Array<Int>, Int)
BigInt array_functions(Array<BigInt>, BigInt)
And array_functions([1,2,3], 2147483648) will match BigInt array_functions(Array<BigInt>, BigInt), but the result type should not be BigInt, but should be Int.
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# fe-common
This module is used to store some common classes of other modules.
# spark-dpp
This module is Spark DPP program, used for Spark Load function.
Depends: fe-common
# fe-core
This module is the main process module of FE.
Depends: fe-common, spark-dpp
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