3.9.2. qupulse.utils.performance

Functions

_is_monotonic_numba(x)
_is_monotonic_numpy(arr)
_time_windows_to_samples_numba(begins, ...)
_time_windows_to_samples_numpy(begins, ...)
_time_windows_to_samples_sorted_numba(...)
is_monotonic(arr)
njit(x)
time_windows_to_samples(begins, lengths, ...)

qupulse.utils.performance.is_monotonic(arr: numpy.ndarray) → bool

qupulse.utils.performance.njit(x)

qupulse.utils.performance.time_windows_to_samples(begins: numpy.ndarray, lengths: numpy.ndarray, sample_rate: float) → Tuple[numpy.ndarray, numpy.ndarray]