1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
|
#
# This file is part of the PyMeasure package.
#
# Copyright (c) 2013-2024 PyMeasure Developers
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
import os
import pickle
import tempfile
from unittest import mock
import pandas as pd
import pytest
import numpy as np
from pymeasure.units import ureg
from pymeasure.experiment.results import Results, CSVFormatter
from pymeasure.experiment.procedure import Procedure, Parameter
from pymeasure.experiment import BooleanParameter
from data.procedure_for_testing import RandomProcedure
def test_procedure():
""" Ensure that the loaded test procedure is properly functioning
"""
procedure = RandomProcedure()
assert procedure.iterations == 100
assert procedure.delay == 0.001
assert hasattr(procedure, 'execute')
def test_csv_formatter_format_header():
"""Tests CSVFormatter.format_header() method."""
columns = ['t', 'x', 'y', 'z', 'V']
formatter = CSVFormatter(columns=columns)
assert formatter.format_header() == 't,x,y,z,V'
class Test_csv_formatter_format:
def test_csv_formatter_format(self):
"""Tests CSVFormatter.format() method."""
columns = ['t', 'x', 'y', 'z', 'V']
formatter = CSVFormatter(columns=columns)
data = {'t': 1, 'y': 2, 'z': 3.0, 'x': -1, 'V': 'abc'}
assert formatter.format(data) == '1,-1,2,3.0,abc'
@pytest.mark.parametrize("head, value, result",
(('index', 10, "10"),
('length (m)', "50 cm", "0.5"),
('voltage (V)', ureg.Quantity(-7, ureg.kV), "-7000.0"),
('speed (m/s)', 15 * ureg.cm / ureg.s, "0.15"),
('magnetic (T)', 7, "7"),
('string', "abcdef", "abcdef"),
('count', 9 * ureg.dimensionless, "9"),
('boolean', True, "True"),
('numpy (V)', np.float64(1.1), "1.1"),
('boolean nan (V)', True, "nan"),
))
def test_unitful(self, head, value, result):
"""Test, whether units are appended correctly"""
formatter = CSVFormatter(columns=[head])
assert formatter.format({head: value}) == result
def test_newly_unitful(self):
formatter = CSVFormatter(columns=["count"])
assert formatter.format({'count': 5 * ureg.km}) == "5000.0"
assert formatter.units['count'] == ureg.m
def test_no_newly_unitful(self):
formatter = CSVFormatter(columns=["count"])
assert formatter.format({'count': 5 * ureg.dimensionless}) == "5"
assert formatter.units.get('count') is None
def test_unitful_erroneous(self):
"""Test, whether wrong units are rejected"""
columns = ['index', 'length (m)', 'voltage (V)']
formatter = CSVFormatter(columns=columns)
formatter.units['index'] = ureg.km
data = {'index': "10 stupid", 'length (m)': "50 cV", 'voltage (V)': True}
assert formatter.format(data) == "nan,nan,nan"
def test_procedure_filestorage():
assert RandomProcedure.iterations.value == 100
procedure = RandomProcedure()
procedure.iterations = 101
resultfile = tempfile.mktemp()
results = Results(procedure, resultfile)
new_results = pickle.loads(pickle.dumps(results))
assert hasattr(new_results, 'procedure')
assert new_results.procedure.iterations == 101
assert RandomProcedure.iterations.value == 100
class TestResults:
# TODO: add a full set of Results tests
@mock.patch('pymeasure.experiment.results.open', mock.mock_open(), create=True)
@mock.patch('os.path.exists', return_value=True)
@mock.patch('pymeasure.experiment.results.pd.read_csv')
def test_regression_attr_data_when_up_to_date_should_retain_dtype(self,
read_csv_mock,
path_exists_mock):
procedure_mock = mock.MagicMock(spec=Procedure)
result = Results(procedure_mock, 'test.csv')
read_csv_mock.return_value = [pd.DataFrame(data={
'A': [1, 2, 3, 4, 5, 6, 7],
'B': [2, 3, 4, 5, 6, 7, 8]
})]
first_data = result.data
# if no updates, read_csv returns a zero-row dataframe
read_csv_mock.return_value = [pd.DataFrame(data={
'A': [], 'B': []
}, dtype=object)]
second_data = result.data
assert second_data.iloc[:, 0].dtype is not object
assert first_data.iloc[:, 0].dtype is second_data.iloc[:, 0].dtype
def test_regression_param_str_should_not_include_newlines(self, tmpdir):
class DummyProcedure(Procedure):
par = Parameter('Generic Parameter with newline chars')
DATA_COLUMNS = ['Foo', 'Bar', 'Baz']
procedure = DummyProcedure()
procedure.par = np.linspace(1, 100, 17)
filename = os.path.join(str(tmpdir), 'header_linebreak_test.csv')
result = Results(procedure, filename)
result.reload() # assert no error
pd.read_csv(filename, comment="#") # assert no error
assert (result.parameters['par'].value == np.linspace(1, 100, 17)).all()
def test_parameter_reading():
data_path = os.path.join(os.path.dirname(__file__), "data/results_for_testing_parameters.csv")
test_string = "/test directory with space/test_filename.csv"
iterations = 101
delay = 0.0005
seed = '54321'
class DummyProcedure(RandomProcedure):
check_false = BooleanParameter('checkbox False')
check_true = BooleanParameter('checkbox True')
check_dir = Parameter('Directory string')
results = Results.load(data_path, procedure_class=DummyProcedure)
# Check if all parameters are correctly read from file
assert results.parameters["iterations"].value == iterations
assert results.parameters["delay"].value == delay
assert results.parameters["seed"].value == seed
assert results.parameters["check_true"].value is True
assert results.parameters["check_false"].value is False
assert results.parameters["check_dir"].value == test_string
|
