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use explicit rng for zebra generation (not yet fully deterministic)

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Andreas Koepf 2025-02-04 00:00:54 +01:00
parent d0760926d0
commit 04cd81dd76
6 changed files with 80 additions and 163 deletions
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7
reasoning_gym/arithmetic/__init__.py
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@ -12,7 +12,8 @@ from .calendar_arithmetic import CalendarArithmeticConfig, CalendarArithmeticDat
from .chain_sum import ChainSum, ChainSumConfig
from .fraction_simplification import FractionSimplificationConfig, FractionSimplificationDataset
from .gcd import GCDConfig, GCDDataset
from .gsm_symbolic.gsm_symbolic_datasets import GSMSymbolicDataset, GSMSymbolicDatasetConfig
# from .gsm_symbolic.gsm_symbolic_datasets import GSMSymbolicDataset, GSMSymbolicDatasetConfig
from .lcm import LCMConfig, LCMDataset
from .leg_counting import LegCountingConfig, LegCountingDataset
from .prime_factorization import PrimeFactorizationConfig, PrimeFactorizationDataset
@ -38,8 +39,8 @@ __all__ = [
"LegCountingDataset",
"PrimeFactorizationConfig",
"PrimeFactorizationDataset",
"GSMSymbolicDatasetConfig",
"GSMSymbolicDataset",
# "GSMSymbolicDatasetConfig",
# "GSMSymbolicDataset",
"TimeIntervalsConfig",
"TimeIntervalsDataset",
]