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# coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2017-2018 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__ = ["H. Payno"]
__license__ = "MIT"
__date__ = "05/06/2018"
import logging
from silx.gui import qt
from silx.gui.plot import stats as statsmdl
logger = logging.getLogger(__name__)
class _FloatItem(qt.QTableWidgetItem):
"""Simple QTableWidgetItem allowing ordering on floats"""
def __init__(self, type=qt.QTableWidgetItem.Type):
qt.QTableWidgetItem.__init__(self, type=type)
def __lt__(self, other):
return float(self.text()) < float(other.text())
class StatFormatter(object):
"""
Class used to apply format on :class:`Stat`
:param formatter: the formatter. Defined as str.format()
:param qItemClass: the class inheriting from :class:`QTableWidgetItem`
which will be used to display the result of the
statistic computation.
"""
DEFAULT_FORMATTER = '{0:.3f}'
def __init__(self, formatter=DEFAULT_FORMATTER, qItemClass=_FloatItem):
self.formatter = formatter
self.tabWidgetItemClass = qItemClass
def format(self, val):
if self.formatter is None or val is None:
return str(val)
else:
return self.formatter.format(val)
class StatsHandler(object):
"""
Give
create:
* Stats object which will manage the statistic computation
* Associate formatter and :class:`Stat`
:param statFormatters: Stat and optional formatter.
If elements are given as a tuple, elements
should be (:class:`Stat`, formatter).
Otherwise should be :class:`Stat` elements.
:rtype: List or tuple
"""
def __init__(self, statFormatters):
self.stats = statsmdl.Stats()
self.formatters = {}
for elmt in statFormatters:
helper = _StatHelper(elmt)
self.add(stat=helper.stat, formatter=helper.statFormatter)
def add(self, stat, formatter=None):
assert isinstance(stat, statsmdl.StatBase)
self.stats.add(stat)
_formatter = formatter
if type(_formatter) is str:
_formatter = StatFormatter(formatter=_formatter)
self.formatters[stat.name] = _formatter
def format(self, name, val):
"""
Apply the format for the `name` statistic and the given value
:param name: the name of the associated statistic
:param val: value before formatting
:return: formatted value
"""
if name not in self.formatters:
logger.warning("statistic %s haven't been registred" % name)
return val
else:
if self.formatters[name] is None:
return str(val)
else:
if isinstance(val, (tuple, list)):
res = []
[res.append(self.formatters[name].format(_val)) for _val in val]
return ', '.join(res)
else:
return self.formatters[name].format(val)
def calculate(self, item, plot, onlimits):
"""
compute all statistic registred and return the list of formatted
statistics result.
:param item: item for which we want to compute statistics
:param plot: plot containing the item
:param onlimits: True if we want to compute statistics on visible data
only
:return: list of formatted statistics (as str)
:rtype: dict
"""
res = self.stats.calculate(item, plot, onlimits)
for resName, resValue in list(res.items()):
res[resName] = self.format(resName, res[resName])
return res
class _StatHelper(object):
"""
Helper class to generated the requested StatBase instance and the
associated StatFormatter
"""
def __init__(self, arg):
self.statFormatter = None
self.stat = None
if isinstance(arg, statsmdl.StatBase):
self.stat = arg
else:
assert len(arg) > 0
if isinstance(arg[0], statsmdl.StatBase):
self.dealWithStatAndFormatter(arg)
else:
_arg = arg
if isinstance(arg[0], tuple):
_arg = arg[0]
if len(arg) > 1:
self.statFormatter = arg[1]
self.createStatInstanceAndFormatter(_arg)
def dealWithStatAndFormatter(self, arg):
assert isinstance(arg[0], statsmdl.StatBase)
self.stat = arg[0]
if len(arg) > 2:
raise ValueError('To many argument with %s. At most one '
'argument can be associated with the '
'BaseStat (the `StatFormatter`')
if len(arg) is 2:
assert isinstance(arg[1], (StatFormatter, type(None), str))
self.statFormatter = arg[1]
def createStatInstanceAndFormatter(self, arg):
if type(arg[0]) is not str:
raise ValueError('first element of the tuple should be a string'
' or a StatBase instance')
if len(arg) is 1:
raise ValueError('A function should be associated with the'
'stat name')
if len(arg) > 3:
raise ValueError('Two much argument given for defining statistic.'
'Take at most three arguments (name, function, '
'kinds)')
if len(arg) is 2:
self.stat = statsmdl.Stat(name=arg[0], fct=arg[1])
else:
self.stat = statsmdl.Stat(name=arg[0], fct=arg[1], kinds=arg[2])
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