snapshot before regression test
This commit is contained in:
77
Test/VRandomTest/temp/62cc01c2bb770ca3.pyi
Normal file
77
Test/VRandomTest/temp/62cc01c2bb770ca3.pyi
Normal file
@@ -0,0 +1,77 @@
|
||||
"""
|
||||
Auto-generated Python stub file from vrandom.py
|
||||
Module: vrandom
|
||||
"""
|
||||
|
||||
|
||||
import t, c
|
||||
import vipermath
|
||||
|
||||
RDRAND_RETRY_LIMIT: t.CDefine = 10
|
||||
RDSEED_RETRY_LIMIT: t.CDefine = 100
|
||||
|
||||
def rdrand16() -> t.CUInt16T: pass
|
||||
|
||||
def rdrand32() -> t.CUInt32T: pass
|
||||
|
||||
def rdrand64() -> t.CUInt64T: pass
|
||||
|
||||
def rdseed16() -> t.CUInt16T: pass
|
||||
|
||||
def rdseed32() -> t.CUInt32T: pass
|
||||
|
||||
def rdseed64() -> t.CUInt64T: pass
|
||||
|
||||
def rdrand16_step(p: t.CUInt16T | t.CPtr) -> t.CInt: pass
|
||||
|
||||
def rdrand32_step(p: t.CUInt32T | t.CPtr) -> t.CInt: pass
|
||||
|
||||
def rdrand64_step(p: t.CUInt64T | t.CPtr) -> t.CInt: pass
|
||||
|
||||
def rdseed16_step(p: t.CUInt16T | t.CPtr) -> t.CInt: pass
|
||||
|
||||
def rdseed32_step(p: t.CUInt32T | t.CPtr) -> t.CInt: pass
|
||||
|
||||
def rdseed64_step(p: t.CUInt64T | t.CPtr) -> t.CInt: pass
|
||||
|
||||
def random_u16() -> t.CUInt16T: pass
|
||||
|
||||
def random_u32() -> t.CUInt32T: pass
|
||||
|
||||
def random_u64() -> t.CUInt64T: pass
|
||||
|
||||
def seed_u16() -> t.CUInt16T: pass
|
||||
|
||||
def seed_u32() -> t.CUInt32T: pass
|
||||
|
||||
def seed_u64() -> t.CUInt64T: pass
|
||||
|
||||
def randint(a: t.CInt, b: t.CInt) -> t.CInt: pass
|
||||
|
||||
def randrange(start: t.CInt, stop: t.CInt, step: t.CInt) -> t.CInt: pass
|
||||
|
||||
def getrandbits(k: t.CInt) -> t.CUInt64T: pass
|
||||
|
||||
def random() -> t.CDouble: pass
|
||||
|
||||
def uniform(a: t.CDouble, b: t.CDouble) -> t.CDouble: pass
|
||||
|
||||
def triangular(low: t.CDouble, high: t.CDouble, mode: t.CDouble) -> t.CDouble: pass
|
||||
|
||||
def betavariate(alpha: t.CDouble, beta: t.CDouble) -> t.CDouble: pass
|
||||
|
||||
def expovariate(lambd: t.CDouble) -> t.CDouble: pass
|
||||
|
||||
def gammavariate(alpha: t.CDouble, beta: t.CDouble) -> t.CDouble: pass
|
||||
|
||||
def gauss(mu: t.CDouble, sigma: t.CDouble) -> t.CDouble: pass
|
||||
|
||||
def normalvariate(mu: t.CDouble, sigma: t.CDouble) -> t.CDouble: pass
|
||||
|
||||
def lognormvariate(mu: t.CDouble, sigma: t.CDouble) -> t.CDouble: pass
|
||||
|
||||
def vonmisesvariate(mu: t.CDouble, kappa: t.CDouble) -> t.CDouble: pass
|
||||
|
||||
def paretovariate(alpha: t.CDouble) -> t.CDouble: pass
|
||||
|
||||
def weibullvariate(alpha: t.CDouble, beta: t.CDouble) -> t.CDouble: pass
|
||||
Reference in New Issue
Block a user