sampo.schemas.interval#

Overview#

Classes#

Interval

A class for generating random numbers from a given boundary and distribution.

IntervalUniform

Implementation for uniform distribution

IntervalGaussian

Implementation for Gaussian distribution
Attributes#

EPS

-

INF

-

MINUS_INF

-

Classes#

class sampo.schemas.interval.Interval#

Bases: sampo.schemas.serializable.AutoJSONSerializable[BaseReq], abc.ABC

A class for generating random numbers from a given boundary and distribution.

abstract rand_float(rand: random.Random | None = None) → float#

Returns a random float in the interval boundary according to the distribution of the class

Parameters:

rand – object for generating random numbers

Return kind:

the random float

abstract rand_int(rand: random.Random | None = None) → int#

Returns a random int in the interval boundary according to the distribution of the class

Parameters:

rand – object for generating random numbers

Return kind:

the random int

class sampo.schemas.interval.IntervalUniform#

Bases: Interval

Implementation for uniform distribution

Parameters:

  • min_val – left border for the interval

  • max_val – right border for the interval

  • rand – object for generating random numbers with, if you want to use a randomizer with a determined seed

min_val: float#
max_val: float#
rand: random.Random | None#
rand_float(rand: random.Random | None = None) → float#

Returns a random float in the interval boundary according to the distribution of the class

Parameters:

rand – object for generating random numbers, if you want to use a randomizer with a determined seed

Return kind:

the random float

rand_int(rand: random.Random | None = None) → int#

Returns a random int in the interval boundary according to the distribution of the class

Parameters:

rand – object for generating random numbers, if you want to use a randomizer with a determined seed

Return kind:

the random int

class sampo.schemas.interval.IntervalGaussian#

Bases: Interval

Implementation for Gaussian distribution

Parameters:

  • mean – mean for the distribution

  • sigma – variance for the distribution

  • min_val – left border for the interval

  • max_val – right border for the interval

  • rand – object for generating random numbers with, if you want to use a randomizer with a determined seed

mean: float#
sigma: float#
min_val: float | None#
max_val: float | None#
rand: random.Random | None#
rand_float(rand: random.Random | None = None) → float#

Returns a random float in the interval boundary according to the distribution of the class

Parameters:

rand – object for generating random numbers

Return kind:

the random float

rand_int(rand: random.Random | None = None) → int#

Returns a random int in the interval boundary according to the distribution of the class

Parameters:

rand – object for generating random numbers

Return kind:

the random int

Attributes#

sampo.schemas.interval.EPS = 100000.0#
sampo.schemas.interval.INF#
sampo.schemas.interval.MINUS_INF#