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Merge branch 'develop' into documentation
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commit
b5eb4a0bfd
5 changed files with 16 additions and 4 deletions
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@ -2,6 +2,14 @@
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All notable changes to this project will be documented in this file.
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## [2.8.1] - 2023-06-01
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### Fixed
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- `input.pandas` can now deal with columns that only have `None` entries.
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- Bug in f-string conversion of `Obs` fixed.
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- Bug in edge case of `_compute_drho` fixed.
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- Several numpy 1.25 deprecations fixed.
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## [2.8.0] - 2023-05-21
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### Added
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- `pyerrors` can now deal with replica with different gapsizes.
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@ -278,7 +278,7 @@ class Obs:
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def _compute_drho(i):
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tmp = (self.e_rho[e_name][i + 1:w_max]
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+ np.concatenate([self.e_rho[e_name][i - 1:None if i - w_max // 2 <= 0 else (2 * i - (2 * w_max) // 2):-1],
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+ np.concatenate([self.e_rho[e_name][i - 1:None if i - (w_max - 1) // 2 <= 0 else (2 * i - (2 * w_max) // 2):-1],
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self.e_rho[e_name][1:max(1, w_max - 2 * i)]])
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- 2 * self.e_rho[e_name][i] * self.e_rho[e_name][1:w_max - i])
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self.e_drho[e_name][i] = np.sqrt(np.sum(tmp ** 2) / e_N)
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BIN
tests/data/compute_drho_fails.json.gz
Normal file
BIN
tests/data/compute_drho_fails.json.gz
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Binary file not shown.
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@ -1282,3 +1282,8 @@ def test_f_string_obs():
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print(f"{o1:+3}")
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print(f"{o1:-1}")
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print(f"{o1: 8}")
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def test_compute_drho_fails():
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obs = pe.input.json.load_json("tests/data/compute_drho_fails.json.gz")
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obs.gm()
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assert np.isclose(obs.dvalue, 0.0022150779611891094)
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@ -46,10 +46,9 @@ def test_nan_df_export_import(tmp_path):
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my_df.loc[1, "int"] = np.nan
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for gz in [True, False]:
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pe.input.pandas.dump_df(my_df, (tmp_path / 'df_output').as_posix(), gz=gz)
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reconstructed_df = pe.input.pandas.load_df((tmp_path / 'df_output').as_posix(), auto_gamma=True, gz=gz)
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with pytest.warns(UserWarning, match="nan value in column int will be replaced by None"):
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warnings.warn("nan value in column int will be replaced by None", UserWarning)
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pe.input.pandas.dump_df(my_df, (tmp_path / 'df_output').as_posix(), gz=gz)
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reconstructed_df = pe.input.pandas.load_df((tmp_path / 'df_output').as_posix(), auto_gamma=True, gz=gz)
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assert reconstructed_df.loc[1, "int"] is None
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assert np.all(reconstructed_df.loc[:, "float"] == my_df.loc[:, "float"])
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assert np.all(reconstructed_df.loc[:, "Obs1"] == my_df.loc[:, "Obs1"])
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