Coverage for src/bob/pipelines/utils.py: 65%
54 statements
« prev ^ index » next coverage.py v7.0.5, created at 2023-06-16 14:21 +0200
« prev ^ index » next coverage.py v7.0.5, created at 2023-06-16 14:21 +0200
1import copy
2import pickle
4import numpy as np
7def is_picklable(obj):
8 """Test if an object is picklable or not."""
9 try:
10 pickle.dumps(obj)
11 except TypeError:
12 return False
13 except pickle.PicklingError:
14 return False
16 return True
19def assert_picklable(obj):
20 """Test if an object is picklable or not."""
22 string = pickle.dumps(obj)
23 new_obj = pickle.loads(string)
24 obj = obj.__dict__
25 new_obj = new_obj.__dict__
26 assert len(obj) == len(new_obj)
27 assert list(obj.keys()) == list(new_obj.keys())
28 for k, v in obj.items():
29 if isinstance(v, np.ndarray):
30 np.testing.assert_equal(v, new_obj[k])
31 else:
32 assert v == new_obj[k]
35def hash_string(key, bucket_size=1000):
36 """
37 Generates a hash code given a string.
38 The have is given by the `sum(ord([string])) mod bucket_size`
40 Parameters
41 ----------
43 key: str
44 Input string to be hashed
46 bucket_size: int
47 Size of the hash table.
49 """
50 return str(sum([ord(i) for i in (key)]) % bucket_size)
53def flatten_samplesets(samplesets):
54 """
55 Takes a list of SampleSets (with one or multiple samples in each SampleSet)
56 and returns a list of SampleSets (with one sample in each SampleSet)
58 Parameters
59 ----------
61 samplesets: list of :obj:`bob.pipelines.SampleSet`
62 Input list of SampleSets (with one or multiple samples in each SampleSet
64 """
65 new_samplesets = []
67 # Iterating over the samplesets
68 for sset in samplesets:
69 # Iterating over the samples, and deep copying each sampleset
70 # for each sample
71 for i, s in enumerate(sset):
72 new_sset = copy.deepcopy(sset)
73 new_sset.samples = [s]
74 # Very important step
75 # We need to redo the keys
76 new_sset.key = f"{new_sset.key}-{i}"
78 new_samplesets.append(new_sset)
80 return new_samplesets
83def check_parameters_for_validity(
84 parameters, parameter_description, valid_parameters, default_parameters=None
85):
86 """Checks the given parameters for validity.
88 Checks a given parameter is in the set of valid parameters. It also
89 assures that the returned parameters form a list. If parameters is
90 'None' or empty, the default_parameters will be returned (if
91 default_parameters is omitted, all valid_parameters are returned).
93 This function will return a list of parameters, or raise a
94 ValueError.
97 Parameters
98 ----------
99 parameters : str or list of :obj:`str` or None
100 The parameters to be checked. Might be a string, a list/tuple of
101 strings, or None.
103 parameter_description : str
104 A short description of the parameter. This will be used to raise an
105 exception in case the parameter is not valid.
107 valid_parameters : list of :obj:`str`
108 A list/tuple of valid values for the parameters.
110 default_parameters : list of :obj:`str` or None
111 The list/tuple of default parameters that will be returned in case
112 parameters is None or empty. If omitted, all valid_parameters are used.
114 Returns
115 -------
116 list
117 A list containing the valid parameters.
119 Raises
120 ------
121 ValueError
122 If some of the parameters are not valid.
124 """
126 if not parameters:
127 # parameters are not specified, i.e., 'None' or empty lists
128 parameters = (
129 default_parameters
130 if default_parameters is not None
131 else valid_parameters
132 )
134 if not isinstance(parameters, (list, tuple, set)):
135 # parameter is just a single element, not a tuple or list -> transform it
136 # into a tuple
137 parameters = (parameters,)
139 # perform the checks
140 for parameter in parameters:
141 if parameter not in valid_parameters:
142 raise ValueError(
143 "Invalid %s '%s'. Valid values are %s, or lists/tuples of those"
144 % (parameter_description, parameter, valid_parameters)
145 )
147 # check passed, now return the list of parameters
148 return list(parameters)
151def check_parameter_for_validity(
152 parameter, parameter_description, valid_parameters, default_parameter=None
153):
154 """Checks the given parameter for validity
156 Ensures a given parameter is in the set of valid parameters. If the
157 parameter is ``None`` or empty, the value in ``default_parameter`` will
158 be returned, in case it is specified, otherwise a :py:exc:`ValueError`
159 will be raised.
161 This function will return the parameter after the check tuple or list
162 of parameters, or raise a :py:exc:`ValueError`.
164 Parameters
165 ----------
166 parameter : :obj:`str` or :obj:`None`
167 The single parameter to be checked. Might be a string or None.
169 parameter_description : str
170 A short description of the parameter. This will be used to raise an
171 exception in case the parameter is not valid.
173 valid_parameters : list of :obj:`str`
174 A list/tuple of valid values for the parameters.
176 default_parameter : list of :obj:`str`, optional
177 The default parameter that will be returned in case parameter is None or
178 empty. If omitted and parameter is empty, a ValueError is raised.
180 Returns
181 -------
182 str
183 The validated parameter.
185 Raises
186 ------
187 ValueError
188 If the specified parameter is invalid.
190 """
192 if parameter is None:
193 # parameter not specified ...
194 if default_parameter is not None:
195 # ... -> use default parameter
196 parameter = default_parameter
197 else:
198 # ... -> raise an exception
199 raise ValueError(
200 "The %s has to be one of %s, it might not be 'None'."
201 % (parameter_description, valid_parameters)
202 )
204 if isinstance(parameter, (list, tuple, set)):
205 # the parameter is in a list/tuple ...
206 if len(parameter) > 1:
207 raise ValueError(
208 "The %s has to be one of %s, it might not be more than one "
209 "(%s was given)."
210 % (parameter_description, valid_parameters, parameter)
211 )
212 # ... -> we take the first one
213 parameter = parameter[0]
215 # perform the check
216 if parameter not in valid_parameters:
217 raise ValueError(
218 "The given %s '%s' is not allowed. Please choose one of %s."
219 % (parameter_description, parameter, valid_parameters)
220 )
222 # tests passed -> return the parameter
223 return parameter