b218e7c6d97283ccbc6185dbe287302fc280191a,lib/matplotlib/scale.py,SymmetricalLogTransform,transform_non_affine,#SymmetricalLogTransform#Any#,487
 
Before Change
        log = sign * self.linthresh * (
            self._linscale_adj +
            ma.log(np.abs(masked) / self.linthresh) / self._log_base)
        if masked.mask.any():
            return ma.where(masked.mask, a * self._linscale_adj, log)
        else:
            return log
    def inverted(self):
        return InvertedSymmetricalLogTransform(self.base, self.linthresh,
                                               self.linscale)
After Change
    def transform_non_affine(self, a):
        abs_a = np.abs(a)
        with np.errstate(divide="ignore", invalid="ignore"):
            out = np.sign(a) * self.linthresh * (
                self._linscale_adj +
                np.log(abs_a / self.linthresh) / self._log_base)
            inside = abs_a <= self.linthresh
        out[inside] = a[inside] * self._linscale_adj
        return out
    def inverted(self):

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
 Project Name: matplotlib/matplotlib
 Commit Name: b218e7c6d97283ccbc6185dbe287302fc280191a
 Time: 2019-05-21
 Author: efiring@hawaii.edu
 File Name: lib/matplotlib/scale.py
 Class Name: SymmetricalLogTransform
 Method Name: transform_non_affine
 Project Name: matplotlib/matplotlib
 Commit Name: b218e7c6d97283ccbc6185dbe287302fc280191a
 Time: 2019-05-21
 Author: efiring@hawaii.edu
 File Name: lib/matplotlib/scale.py
 Class Name: InvertedSymmetricalLogTransform
 Method Name: transform_non_affine
 Project Name: scipy/scipy
 Commit Name: ae151484780b389b5c7b4530c9ac1ef4bb659e23
 Time: 2020-01-13
 Author: rlucas7@users.noreply.github.com
 File Name: scipy/special/_basic.py
 Class Name: 
 Method Name: factorial