| | |
- collections.abc.Iterable(builtins.object)
-
- Sampler
class Sampler(collections.abc.Iterable) |
| |
Sampler(num_bits: int = 16, sample_rate: int = 44100, duration_s: float = None, frequency: float = 261.63, time: float = 0.0, amplitude: float = 1.0) -> None
A base class for iterable sampler interfaces.
|
| |
- Method resolution order:
- Sampler
- collections.abc.Iterable
- builtins.object
Methods defined here:
- __copy__(self: ~T) -> ~T
- Create a copy of this instance.
- __init__(self, num_bits: int = 16, sample_rate: int = 44100, duration_s: float = None, frequency: float = 261.63, time: float = 0.0, amplitude: float = 1.0) -> None
- Initialize this instance.
- __iter__(self) -> collections.abc.Iterator[int]
- Return an iterator.
- __next__(self) -> int
- Get the next value from this sampler.
- advance(self, steps: int = 1) -> bool
- Advance time forward.
- copy(self: ~T, harmonic: int = None, duration_s: float = None) -> ~T
- Get a copy of this instance.
- harmonic(self, index: int) -> float
- Get a harmonic frequency based on this instance's frequency.
- sin(self, now: float) -> int
- Get a raw sin value sample.
- value(self, now: float) -> int
- Get the next value.
Data descriptors defined here:
- __dict__
- dictionary for instance variables
- __weakref__
- list of weak references to the object
Data and other attributes defined here:
- __abstractmethods__ = frozenset()
- __orig_bases__ = (collections.abc.Iterable[int],)
Class methods inherited from collections.abc.Iterable:
- __class_getitem__ = GenericAlias(...) from abc.ABCMeta
- Represent a PEP 585 generic type
E.g. for t = list[int], t.__origin__ is list and t.__args__ is (int,).
- __subclasshook__(C) from abc.ABCMeta
- Abstract classes can override this to customize issubclass().
This is invoked early on by abc.ABCMeta.__subclasscheck__().
It should return True, False or NotImplemented. If it returns
NotImplemented, the normal algorithm is used. Otherwise, it
overrides the normal algorithm (and the outcome is cached).
| |