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6 changed files with 8 additions and 15 deletions
2
.github/workflows/pytest.yml
vendored
2
.github/workflows/pytest.yml
vendored
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@ -43,4 +43,4 @@ jobs:
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uv pip freeze --system
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- name: Run tests
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run: pytest --cov=pyerrors -vv
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run: pytest --cov=pyerrors -vv -Werror
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@ -151,7 +151,7 @@
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"\n",
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"$$C_{\\textrm{projected}}(t)=v_1^T \\underline{C}(t) v_2$$\n",
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"\n",
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"If we choose the vectors to be $v_1=v_2=(0,1,0,0)$, we should get the same correlator as in the cell above. \n",
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"If we choose the vectors to be $v_1=v_2=(1,0,0,0)$, we should get the same correlator as in the cell above. \n",
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"\n",
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"Thinking about it this way is usefull in the Context of the generalized eigenvalue problem (GEVP), used to find the source-sink combination, which best describes a certain energy eigenstate.\n",
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"A good introduction is found in https://arxiv.org/abs/0902.1265."
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@ -571,7 +571,6 @@ def _ol_from_dict(ind, reps='DICTOBS'):
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counter = 0
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def dict_replace_obs(d):
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nonlocal ol
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nonlocal counter
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x = {}
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for k, v in d.items():
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@ -592,7 +591,6 @@ def _ol_from_dict(ind, reps='DICTOBS'):
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return x
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def list_replace_obs(li):
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nonlocal ol
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nonlocal counter
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x = []
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for e in li:
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@ -613,7 +611,6 @@ def _ol_from_dict(ind, reps='DICTOBS'):
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return x
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def obslist_replace_obs(li):
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nonlocal ol
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nonlocal counter
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il = []
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for e in li:
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@ -694,7 +691,6 @@ def _od_from_list_and_dict(ol, ind, reps='DICTOBS'):
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def dict_replace_string(d):
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nonlocal counter
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nonlocal ol
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x = {}
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for k, v in d.items():
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if isinstance(v, dict):
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@ -710,7 +706,6 @@ def _od_from_list_and_dict(ol, ind, reps='DICTOBS'):
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def list_replace_string(li):
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nonlocal counter
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nonlocal ol
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x = []
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for e in li:
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if isinstance(e, list):
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@ -1,6 +1,7 @@
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import warnings
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import gzip
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import sqlite3
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from contextlib import closing
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import pandas as pd
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from ..obs import Obs
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from ..correlators import Corr
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@ -29,9 +30,8 @@ def to_sql(df, table_name, db, if_exists='fail', gz=True, **kwargs):
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None
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"""
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se_df = _serialize_df(df, gz=gz)
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con = sqlite3.connect(db)
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se_df.to_sql(table_name, con, if_exists=if_exists, index=False, **kwargs)
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con.close()
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with closing(sqlite3.connect(db)) as con:
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se_df.to_sql(table_name, con=con, if_exists=if_exists, index=False, **kwargs)
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def read_sql(sql, db, auto_gamma=False, **kwargs):
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@ -52,9 +52,8 @@ def read_sql(sql, db, auto_gamma=False, **kwargs):
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data : pandas.DataFrame
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Dataframe with the content of the sqlite database.
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"""
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con = sqlite3.connect(db)
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extract_df = pd.read_sql(sql, con, **kwargs)
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con.close()
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with closing(sqlite3.connect(db)) as con:
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extract_df = pd.read_sql(sql, con=con, **kwargs)
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return _deserialize_df(extract_df, auto_gamma=auto_gamma)
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@ -1 +1 @@
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__version__ = "2.14.0"
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__version__ = "2.15.0-dev"
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1
setup.py
1
setup.py
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@ -30,7 +30,6 @@ setup(name='pyerrors',
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classifiers=[
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'Development Status :: 5 - Production/Stable',
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'Intended Audience :: Science/Research',
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'License :: OSI Approved :: MIT License',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.9',
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'Programming Language :: Python :: 3.10',
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