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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/regression/
H A Drolling.py184 self._is_nan = np.zeros_like(self._y, dtype=bool)
198 self._is_nan[:] = nans
219 missing = self._is_nan[loc]
369 if not self._is_nan[i - w - 1] and i > w:
374 if not self._is_nan[i - 1]:
/dports/devel/pylint/pylint-2.12.1/pylint/checkers/
H A Dbase.py2446 def _is_nan(node) -> bool: function
2449 nan_left = _is_nan(left_value)
2450 if not nan_left and not _is_nan(right_value):