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@@ 414-449 (lines=36) @@
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"""
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if (start_iteration is None):
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start_iteration = len(self._dynamic) - 1;
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if (stop_iteration is None):
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stop_iteration = start_iteration + 1;
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return (start_iteration, stop_iteration);
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class sync_visualizer:
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"""!
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@brief Visualizer of output dynamic of sync network (Sync).
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"""
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@staticmethod
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def show_output_dynamic(sync_output_dynamic):
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"""!
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@brief Shows output dynamic (output of each oscillator) during simulation.
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@param[in] sync_output_dynamic (sync_dynamic): Output dynamic of the Sync network.
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@see show_output_dynamics
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"""
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draw_dynamics(sync_output_dynamic.time, sync_output_dynamic.output, x_title = "t", y_title = "phase", y_lim = [0, 2 * 3.14]);
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@staticmethod
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def show_output_dynamics(sync_output_dynamics):
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"""!
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@brief Shows several output dynamics (output of each oscillator) during simulation.
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@details Each dynamic is presented on separate plot.
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@param[in] sync_output_dynamics (list): list of output dynamics 'sync_dynamic' of the Sync network.
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@see show_output_dynamic
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"""
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@@ 380-411 (lines=32) @@
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@details Local order parameter or so-called level of local or partial synchronization is calculated by following expression:
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\f[
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r_{c}=\left | \sum_{i=0}^{N} \frac{1}{N_{i}} \sum_{j=0}e^{ \theta_{j} - \theta_{i} } \right |;
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\f]
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where N - total amount of oscillators in the network and \f$N_{i}\f$ - amount of neighbors of oscillator with index \f$i\f$.
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@param[in] oscillatory_network (sync): Sync oscillatory network whose structure of connections is required for calculation.
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@param[in] start_iteration (uint): The first iteration that is used for calculation, if 'None' then the last iteration is used.
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@param[in] stop_iteration (uint): The last iteration that is used for calculation, if 'None' then 'start_iteration' + 1 is used.
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@return (list) List of levels of local (partial) synchronization (local order parameter evolution).
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"""
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(start_iteration, stop_iteration) = self.__get_start_stop_iterations(start_iteration, stop_iteration);
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sequence_local_order = [];
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for index in range(start_iteration, stop_iteration):
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sequence_local_order.append(order_estimator.calculate_local_sync_order(self.output[index], oscillatory_network));
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return sequence_local_order;
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def __get_start_stop_iterations(self, start_iteration, stop_iteration):
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"""!
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@brief Aplly rules for start_iteration and stop_iteration parameters.
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@param[in] start_iteration (uint): The first iteration that is used for calculation.
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@param[in] stop_iteration (uint): The last iteration that is used for calculation.
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@return (tuple) New the first iteration and the last.
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"""
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if (start_iteration is None):
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start_iteration = len(self._dynamic) - 1;
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annoviko /
pyclustering
