| """Reference repair for validation only; excluded from training images.""" |
| from pathlib import Path |
|
|
| path = Path('statsmodels/regression/rolling.py') |
| text = path.read_text() |
| replacements = [ |
| ("missing='drop'):", "missing='drop', expanding=False):"), |
| (' self._has_nan = self._find_nans()\n', ' self._expanding = bool(expanding)\n'), |
| (" 'regressors in the model and less than window')", " 'regressors in the model and less than window')\n self._has_nan = self._find_nans()"), |
| ('has_nan[:w - 1] = False', 'has_nan[:(self._min_nobs if self._expanding else w) - 1] = False'), |
| ('[idx - window:idx]', '[max(0, idx - window):idx]'), |
| (' xpx, xpy, nobs = self._reset(window)', ' first = self._min_nobs if self._expanding else window\n xpx, xpy, nobs = self._reset(first)'), |
| ('self._has_nan[window - 1]', 'self._has_nan[first - 1]'), |
| ('self._fit_single(w, xpx', 'self._fit_single(first, xpx'), |
| ('range(w + 1, self._x.shape[0] + 1)', 'range(first + 1, self._x.shape[0] + 1)'), |
| ('if not self._is_nan[i - w - 1]:', 'if i > w and not self._is_nan[i - w - 1]:'), |
| ('super().__init__(endog, exog, window, None, min_nobs, missing)', 'super().__init__(endog, exog, window, None, min_nobs, missing, expanding)'), |
| ] |
| for old, new in replacements: |
| assert old in text, old |
| text = text.replace(old, new) |
| path.write_text(text) |
|
|
