本文整理匯總了Python中pyaid.number.NumericUtils.NumericUtils.divideValueUncertainties方法的典型用法代碼示例。如果您正苦於以下問題：Python NumericUtils.divideValueUncertainties方法的具體用法？Python NumericUtils.divideValueUncertainties怎麽用？Python NumericUtils.divideValueUncertainties使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pyaid.number.NumericUtils.NumericUtils的用法示例。
在下文中一共展示了NumericUtils.divideValueUncertainties方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _analyzeTrack
# 需要導入模塊: from pyaid.number.NumericUtils import NumericUtils [as 別名]
# 或者: from pyaid.number.NumericUtils.NumericUtils import divideValueUncertainties [as 別名]
def _analyzeTrack(self, track, series, trackway, sitemap):
if series.count < 1 or not track.pes:
return
segmentPair = None
segmentSeries = None
skipped = 0
for key, otherSeries in series.bundle.items():
if not otherSeries.pes:
continue
if otherSeries == series or otherSeries.left == series.left or otherSeries.count < 2:
# If the series isn't suitable for comparison then mark this as a skipped attempt
# and continue.
skipped += 1
continue
segment = otherSeries.cache.get('curve').getTrackSegment(track)
if segment is None:
continue
for pair in segment.pairs:
if pair['track'] != track:
continue
if segmentPair is None or pair['line'].length.raw < segmentPair['line'].length.raw:
# Store the shortest of the available gauge lengths
segmentPair = pair
segmentSeries = otherSeries
break
if skipped == 4:
# If skipped is 4 it means that no suitable series existed for calculating a gauge
# value and the method should abort quietly
self._ignoreTracks.append(track)
return
if segmentPair is None:
self._errorTracks.append(track)
return
color = 'blue' if segmentSeries.pes == series.pes else 'orange'
data = trackway.cache.get('data')
gauges = data['gauges']
line = segmentPair['line']
sitemap.cache.get('drawing').lineSegment(
line, stroke=color, stroke_width=1, stroke_opacity='0.5')
length = line.length
gauges.abs.append(length)
analysisTrack = track.getAnalysisPair(self.analysisSession)
analysisTrack.simpleGauge = line.length.raw
analysisTrack.simpleGaugeUnc = line.length.rawUncertainty
widthNormGauge = NumericUtils.divideValueUncertainties(
numeratorValue=length,
denominatorValue=series.cache.get('referenceWidth'))
gauges.width.append(widthNormGauge)
point = PositionValue2D(
x=analysisTrack.curvePosition, xUnc=0.0,
y=widthNormGauge.value, yUnc=widthNormGauge.uncertainty)
data['points'].append(point)
if analysisTrack.paceLength:
gauges.pace.append(NumericUtils.divideValueUncertainties(
length, analysisTrack.paceLengthValue))
if analysisTrack.strideLength:
gauges.stride.append(NumericUtils.divideValueUncertainties(
length, analysisTrack.strideLengthValue))
self._count += 1