nanotune.model.utils

nanotune.model.utils.generate_one_f_noise(how_many: int = 20000, save_to_file: bool = True, filename: Optional[str] = None) → ndarray[Any, dtype[float64]]

nanotune.model.utils.generate_white_noise(how_many: int = 20000, save_to_file: bool = True, filename: Optional[str] = None) → ndarray[Any, dtype[float64]]

nanotune.model.utils.generate_current_drop(how_many: int = 20000, save_to_file: bool = True, filename: Optional[str] = None) → ndarray[Any, dtype[float64]]

nanotune.model.utils.generate_random_telegraph_noise(how_many: int = 20000, save_to_file: bool = True, filename: Optional[str] = None) → ndarray[Any, dtype[float64]]

nanotune.model.utils.gauss2d(x=0, y=0, mx=0, my=0, sx=1, sy=1)

nanotune.model.utils.generate_random_blobs(how_many: int = 20000, save_to_file: bool = True, filename: Optional[str] = None, n_blobs: int = 15, stdx: Optional[List[float]] = None, stdy: Optional[List[float]] = None) → ndarray[Any, dtype[float64]]