document present_model
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@ -401,6 +401,12 @@ def print_qr_info(log_qr: np.ndarray) -> None:
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def present_model(model: MCConcentrationModel, bins: int = 200) -> None:
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"""
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Displays a number of plots and prints a handful of key parameters and results of a given MCConcentrationModel
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:param model: The MCConcentrationModel representing the scenario to be presented
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:param bins: The number of bins (bars) to use for the histograms
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:return: Nothing, graphs are displayed and parameters are printed
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"""
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fig, axs = plt.subplots(2, 2, sharex=False, sharey=False)
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fig.set_figheight(8)
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fig.set_figwidth(10)
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