fix conflict

python/tffpy/experiments/exp_approx.py

+# -*- coding: utf-8 -*-
+"""
+
+.. moduleauthor:: Valentin Emiya
+"""
+import numpy as np
+
+from yafe import Experiment
+
+from tffpy.datasets import get_mix, get_dataset
+from tffpy.experiments.exp_solve_tff import SolveTffExperiment
+
+
+class ApproxExperiment(SolveTffExperiment):
+    def __init__(self, force_reset=False, suffix=''):
+        SolveTffExperiment.__init__(self,
+                                    force_reset=force_reset,
+                                    suffix='Approx' + suffix)
+
+    def display_results(self):
+        res = self.load_results(array_type='xarray')
+        res = res.squeeze()
+        tff_list = res.to_dict()['coords']['solver_tol_subregions']['data']
+        tol_list = res.to_dict()['coords']['solver_tolerance_arrf']['data']
+        for measure in ['sdr_tff', 'sdr_tffo', 'sdr_tffe',
+                        'is_tff', 'is_tffo', 'is_tffe']:
+            for solver_tol_subregions in tff_list:
+                for tol in tol_list:
+                    mean_res = float(res.sel(
+                        solver_tolerance_arrf=tol,
+                        solver_tol_subregions=solver_tol_subregions,
+                        measure=measure).mean())
+                    std_res = float(res.sel(
+                        solver_tolerance_arrf=tol,
+                        solver_tol_subregions=solver_tol_subregions,
+                        measure=measure).std())
+                    t_res = float(res.sel(
+                        solver_tolerance_arrf=tol,
+                        solver_tol_subregions=solver_tol_subregions,
+                        measure='t_arrf').mean())
+                    rank_res = float(res.sel(
+                        solver_tolerance_arrf=tol,
+                        solver_tol_subregions=solver_tol_subregions,
+                        measure='rank_sum').mean())
+                    if solver_tol_subregions is None:
+                        measure_name = measure + '-1'
+                    else:
+                        measure_name = measure + '-P'
+                    print('{}: mean={:.2f} std={:.2g} tol={}, t={}, rk={}'
+                          .format(measure_name, mean_res, std_res, tol,
+                                  t_res, rank_res))
+
+    def plot_results(self):
+        # No more need for this method
+        pass
+
+    def plot_task(self, idt, fontsize=16):
+        # No more need for this method
+        pass
+
+    @staticmethod
+    def get_experiment(setting='full', force_reset=False):
+        assert setting in ('full', 'light')
+
+        dataset = get_dataset()
+        # Set task parameters
+        data_params = dict(loc_source='bird',
+                           wideband_src='car')
+        problem_params = dict(win_choice='gauss 256',
+                              # win_choice=['gauss 256', 'hann 512'],
+                              wb_to_loc_ratio_db=8,
+                              n_iter_closing=3, n_iter_opening=3,
+                              closing_first=True,
+                              delta_mix_db=0,
+                              delta_loc_db=40,
+                              or_mask=True,
+                              crop=None,
+                              fig_dir=None)
+        solver_params = dict(tol_subregions=[None, 1e-5],
+                             tolerance_arrf=list(10**np.arange(-3, -0.5, 1))
+                                            + list(10**np.arange(-1, 0, 0.2)),
+                             proba_arrf=1 - 1e-4,
+                             rand_state=np.arange(3))
+        if setting == 'light':
+            problem_params['win_choice'] = 'gauss 64',
+            problem_params['crop'] = 4096
+            problem_params['delta_loc_db'] = 20
+            problem_params['wb_to_loc_ratio_db'] = 16
+            solver_params['tolerance_arrf'] = [1e-1, 1e-2]
+            solver_params['proba_arrf'] = 1 - 1e-2
+            solver_params['tol_subregions'] = 1e-5
+
+        # Create Experiment
+        suffix = '' if setting == 'full' else '_Light'
+        exp = ApproxExperiment(force_reset=force_reset,
+                                 suffix=suffix)
+        exp.add_tasks(data_params=data_params,
+                      problem_params=problem_params,
+                      solver_params=solver_params)
+        exp.generate_tasks()
+        return exp
+
+
+def create_and_run_light_experiment():
+    """
+    Create a light experiment and run it
+    """
+    exp = ApproxExperiment.get_experiment(setting='light', force_reset=True)
+    print('*' * 80)
+    print('Created experiment')
+    print(exp)
+    print(exp.display_status())
+
+    print('*' * 80)
+    print('Run task 0')
+    task_data = exp.get_task_data_by_id(idt=0)
+    print(task_data.keys())
+    print(task_data['task_params']['data_params'])
+
+    problem = exp.get_problem(
+        **task_data['task_params']['problem_params'])
+    print(problem)
+
+    print('*' * 80)
+    print('Run all')
+    exp.launch_experiment()
+
+    print('*' * 80)
+    print('Collect and plot results')
+    exp.collect_results()