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  /external/lisa/libs/utils/analysis/
latency_analysis.py 35 CDF = namedtuple('CDF', ['df', 'threshold', 'above', 'below'])
352 # Build the series for the CDF
353 cdf = self._getCDF(df.latency, (threshold_ms / 1000.))
355 100. * cdf.below, threshold_ms)
384 cdf.df.plot(ax=axes, legend=False, xlim=(0,None),
385 title='Latencies CDF ({:.1f}% within {} [ms] threshold)'\
386 .format(100. * cdf.below, threshold_ms))
388 axes.axhline(y=cdf.below, linewidth=1, color='r', linestyle='--')
407 label = '{:.1f}%'.format(100. * cdf.below
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  /prebuilts/go/darwin-x86/src/runtime/
malloc.go 859 // the probability distribution function is m*exp(-mx), so the CDF is
  /prebuilts/go/linux-x86/src/runtime/
malloc.go 859 // the probability distribution function is m*exp(-mx), so the CDF is
  /toolchain/binutils/binutils-2.25/gas/testsuite/gas/i386/
modrm.l 188 31 0072 8CDF mov %ds,%edi
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