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Commit #152 breaks the gamma_method for Obs that are NaN. Minimal example:
gamma_method
o = pe.pseudo_Obs(1, .1, 'test') o.gamma_method() no = np.nan * o no.gamma_method()
works fine in the old version but now throws an error:
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-2-bd59fd2172b6> in <module> 2 o.gamma_method() 3 no = np.nan * o ----> 4 no.gamma_method() ~/phd/git/pyerrors_github/pyerrors/obs.py in gamma_method(self, **kwargs) 323 for n in range(1, w_max): 324 if g_w[n - 1] < 0 or n >= w_max - 1: --> 325 _compute_drho(gapsize * n) 326 n *= gapsize 327 self.e_tauint[e_name] = self.e_n_tauint[e_name][n] * (1 + (2 * n / gapsize + 1) / e_N) / (1 + 1 / e_N) # Bias correction hep-lat/0306017 eq. (49) ~/phd/git/pyerrors_github/pyerrors/obs.py in _compute_drho(i) 290 291 def _compute_drho(i): --> 292 tmp = self.e_rho[e_name][i + 1:w_max] + np.concatenate([self.e_rho[e_name][i - 1::-1], self.e_rho[e_name][1:w_max - 2 * i]]) - 2 * self.e_rho[e_name][i] * self.e_rho[e_name][1:w_max - i] 293 self.e_drho[e_name][i] = np.sqrt(np.sum(tmp ** 2) / e_N) 294 ValueError: operands could not be broadcast together with shapes (0,) (500,)
This had not been the case before. However, If I revert the change, I can create a similar behavior when I add
o.idl['test'] = [1, 5] + list(range(7, 2002, 2)) o.gamma_method() no = np.NaN * o no.gamma_method()
, i.e., when I use a gapped MC history with a hole, the following exception is thrown:
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-3-4fdb987095af> in <module> 8 o.gamma_method() 9 no = np.NaN * o ---> 10 no.gamma_method() ~/phd/git/pyerrors_github/pyerrors/obs.py in gamma_method(self, **kwargs) 323 for n in range(1, w_max): 324 if n < w_max // 2 - 2: --> 325 _compute_drho(gapsize * n + gapsize) 326 if g_w[n - 1] < 0 or n >= w_max - 1: 327 n *= gapsize ~/phd/git/pyerrors_github/pyerrors/obs.py in _compute_drho(i) 290 291 def _compute_drho(i): --> 292 tmp = self.e_rho[e_name][i + 1:w_max] + np.concatenate([self.e_rho[e_name][i - 1::-1], self.e_rho[e_name][1:w_max - 2 * i]]) - 2 * self.e_rho[e_name][i] * self.e_rho[e_name][1:w_max - i] 293 self.e_drho[e_name][i] = np.sqrt(np.sum(tmp ** 2) / e_N) 294 ValueError: operands could not be broadcast together with shapes (499,) (500,)
The text was updated successfully, but these errors were encountered:
Successfully merging a pull request may close this issue.
Commit #152 breaks the
gamma_method
for Obs that are NaN.Minimal example:
works fine in the old version but now throws an error:
This had not been the case before. However, If I revert the change, I can create a similar behavior when I add
, i.e., when I use a gapped MC history with a hole, the following exception is thrown:
The text was updated successfully, but these errors were encountered: