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
|
# coding: utf-8
# /*##########################################################################
#
# Copyright (C) 2016-2018 European Synchrotron Radiation Facility
#
# 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.
#
# ###########################################################################*/
__authors__ = ["V. Valls"]
__license__ = "MIT"
__date__ = "16/10/2020"
from silx.gui import qt
from .AbstractModel import AbstractModel
class PeakSelectionModel(AbstractModel):
structureChanged = qt.Signal()
"""Emitted when there is different elements in the list."""
contentChanged = qt.Signal()
"""Emitted when the content of the elements changed."""
def __init__(self, parent=None):
super(PeakSelectionModel, self).__init__(parent)
self.__peaks = []
self.__cacheStructureWasChanged = False
self.__cacheContentWasChanged = False
def isValid(self):
for p in self.__peaks:
if not p.isValid():
return
return True
def __len__(self):
return len(self.__peaks)
def peakCount(self):
"""Returns the amout of peak selected throug all the groups
:rtype: int
"""
count = 0
for peaks in self:
count += len(peaks)
return count
def __iter__(self):
for p in self.__peaks:
yield p
def __getitem__(self, index):
return self.__peaks[index]
def peakFromRingNumber(self, ringNumber):
"""
Returns a peak model from it's ring number.
If no peaks where found, returns `None`.
:rtype: Union[PeakModel,None]
"""
for p in self.__peaks:
if p.ringNumber() == ringNumber:
return p
return None
def append(self, peak):
self.__peaks.append(peak)
peak.changed.connect(self.__contentWasChanged)
self.__structureWasChanged()
def remove(self, peak):
self.__peaks.remove(peak)
peak.changed.disconnect(self.__contentWasChanged)
self.__structureWasChanged()
def __structureWasChanged(self):
emitted = self.wasChanged()
if emitted:
self.structureChanged.emit()
else:
self.__cacheStructureWasChanged = True
def __contentWasChanged(self):
emitted = self.wasChanged()
if emitted:
self.contentChanged.emit()
else:
self.__cacheContentWasChanged = True
def unlockSignals(self):
unlocked = AbstractModel.unlockSignals(self)
if unlocked:
if self.__cacheStructureWasChanged:
self.structureChanged.emit()
if self.__cacheContentWasChanged:
self.contentChanged.emit()
self.__cacheStructureWasChanged = False
self.__cacheContentWasChanged = False
return unlocked
def clear(self):
self.lockSignals()
for peak in list(self.__peaks):
self.remove(peak)
self.unlockSignals()
def index(self, peak):
return self.__peaks.index(peak)
def closestGroup(self, coord, threshold=None):
"""Returns the closest group from coord.
:param Tuple[float,float]: Position coord to search around.
:param float threshold: If specified, filter out groups when the
distance is highter than this value.
"""
closestGroup = None
closestDistance = None
for p in self.__peaks:
distance = p.distanceTo(coord)
if distance is None:
continue
if closestDistance is None or distance < closestDistance:
closestDistance = distance
closestGroup = p
if closestDistance is not None and closestDistance > threshold:
return None
return closestGroup
|
