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import typing

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markus 2021-01-20 15:00:33 +01:00
parent 1c35917909
commit b67ffc5e2b
1 changed files with 5 additions and 3 deletions
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8
cara/montecarlo.py
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@ -1,6 +1,8 @@
from dataclasses import dataclass
from cara import models
import numpy as np import numpy as np
import scipy.stats as sct import scipy.stats as sct
from typing import Optional, Iterable import typing
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
@ -14,7 +16,7 @@ weibull_parameters = [((0.5951563631241763, 0.027071715346754264), # em
def calculate_qr(viral_load: float, emission: float, diameter: float, mask_efficiency: float, def calculate_qr(viral_load: float, emission: float, diameter: float, mask_efficiency: float,
copies_per_quantum: float, breathing_rate: Optional[float] = None) -> float: copies_per_quantum: float, breathing_rate: typing.Optional[float] = None) -> float:
""" """
Calculates the quantum generation rate given a set of parameters. Calculates the quantum generation rate given a set of parameters.
""" """
@ -53,7 +55,7 @@ def generate_qr_values(samples: int, expiratory_activity: int, masked: bool, qid
return qr_func(viral_loads, emissions, diameters, mask_efficiency, qid) return qr_func(viral_loads, emissions, diameters, mask_efficiency, qid)
def logscale_hist(x: Iterable, bins: int) -> None: def logscale_hist(x: typing.Iterable, bins: int) -> None:
""" """
Plots the data of x as a log-scale histogram Plots the data of x as a log-scale histogram
:param x: An array containing the data to be plotted :param x: An array containing the data to be plotted