WassimTenachi / PhySO / #15

Committed 10 Jun 2024 12:47AM UTC coverage: 80.984% (+28.9%) from 52.052%

Build # #15

Build Type

push

coveralls-python

Committed by

WassimTenachi

Commit Message

monitoring test

Run Details

26 of 27 new or added lines in 1 file covered. (96.3%)

131 existing lines in 18 files now uncovered.

6814 of 8414 relevant lines covered (80.98%)

0.81 hits per line

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96.3

/physo/learn/tests/monitoring_UnitTest.py

import os

import numpy as np
import matplotlib.pyplot as plt
import torch
import warnings
# Internal code import
import physo
import physo.learn.monitoring as monitoring

import unittest

class MonitoringTest(unittest.TestCase):
    def test_monitoring(self):

        run_logger = lambda : monitoring.RunLogger(
                                      save_path = 'delete_test_monitoring.log',
                                      do_save   = True)
        run_visualiser = lambda : monitoring.RunVisualiser (
                                      epoch_refresh_rate = 1,
                                      save_path = 'delete_test_monitoring.png',
                                      do_show   = False,
                                      do_prints = True,
                                      do_save   = True, )

        # Seed
        seed = 0
        np.random.seed(seed)
        torch.manual_seed(seed)

        # Dataset
        z = np.random.uniform(-10, 10, 50)
        v = np.random.uniform(-10, 10, 50)
        X = np.stack((z, v), axis=0)
        y = 1.234*9.807*z + 1.234*v**2

        # Running SR task
        expression, logs = physo.SR(X, y,
                                    # Giving names of variables (for display purposes)
                                    X_names = [ "z"       , "v"        ],
                                    # Giving units of input variables
                                    X_units = [ [1, 0, 0] , [1, -1, 0] ],
                                    # Giving name of root variable (for display purposes)
                                    y_name  = "E",
                                    # Giving units of the root variable
                                    y_units = [2, -2, 1],
                                    # Fixed constants
                                    fixed_consts       = [ 1.      ],
                                    # Units of fixed constants
                                    fixed_consts_units = [ [0,0,0] ],
                                    # Free constants names (for display purposes)
                                    free_consts_names = [ "m"       , "g"        ],
                                    # Units of free constants
                                    free_consts_units = [ [0, 0, 1] , [1, -2, 0] ],
                                    # Run config
                                    run_config = physo.config.config0.config0,

                                    # FOR TESTING
                                    get_run_logger     = run_logger,
                                    get_run_visualiser = run_visualiser,
                                    parallel_mode=False,
                                    epochs = 5,
        )

        # Inspecting pareto front expressions
        pareto_front_complexities, pareto_front_expressions, pareto_front_r, pareto_front_rmse = logs.get_pareto_front()

        # Deleting files made by the test
        for fname in os.listdir():
            if fname.startswith("delete_test_monitoring"):
                os.remove(fname)

        return None


if __name__ == '__main__':
    unittest.main()

1	import os	1✔
2
3	import numpy as np	1✔
4	import matplotlib.pyplot as plt	1✔
5	import torch	1✔
6	import warnings	1✔
7	# Internal code import
8	import physo	1✔
9	import physo.learn.monitoring as monitoring	1✔
10
11	import unittest	1✔
12
13	class MonitoringTest(unittest.TestCase):	1✔
14	def test_monitoring(self):	1✔
15
16	run_logger = lambda : monitoring.RunLogger(	1✔
17	save_path = 'delete_test_monitoring.log',
18	do_save = True)
19	run_visualiser = lambda : monitoring.RunVisualiser (	1✔
20	epoch_refresh_rate = 1,
21	save_path = 'delete_test_monitoring.png',
22	do_show = False,
23	do_prints = True,
24	do_save = True, )
25
26	# Seed
27	seed = 0	1✔
28	np.random.seed(seed)	1✔
29	torch.manual_seed(seed)	1✔
30
31	# Dataset
32	z = np.random.uniform(-10, 10, 50)	1✔
33	v = np.random.uniform(-10, 10, 50)	1✔
34	X = np.stack((z, v), axis=0)	1✔
35	y = 1.2349.807z + 1.234v*2	1✔
36
37	# Running SR task
38	expression, logs = physo.SR(X, y,	1✔
39	# Giving names of variables (for display purposes)
40	X_names = [ "z" , "v" ],
41	# Giving units of input variables
42	X_units = [ [1, 0, 0] , [1, -1, 0] ],
43	# Giving name of root variable (for display purposes)
44	y_name = "E",
45	# Giving units of the root variable
46	y_units = [2, -2, 1],
47	# Fixed constants
48	fixed_consts = [ 1. ],
49	# Units of fixed constants
50	fixed_consts_units = [ [0,0,0] ],
51	# Free constants names (for display purposes)
52	free_consts_names = [ "m" , "g" ],
53	# Units of free constants
54	free_consts_units = [ [0, 0, 1] , [1, -2, 0] ],
55	# Run config
56	run_config = physo.config.config0.config0,
57
58	# FOR TESTING
59	get_run_logger = run_logger,
60	get_run_visualiser = run_visualiser,
61	parallel_mode=False,
62	epochs = 5,
63	)
64
65	# Inspecting pareto front expressions
66	pareto_front_complexities, pareto_front_expressions, pareto_front_r, pareto_front_rmse = logs.get_pareto_front()	1✔
67
68	# Deleting files made by the test
69	for fname in os.listdir():	1✔
70	if fname.startswith("delete_test_monitoring"):	1✔
71	os.remove(fname)	1✔
72
73	return None	1✔
74
75
76	if __name__ == '__main__':	1✔
NEW 77	unittest.main()	×

WassimTenachi / PhySO / #15

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