Changelog
### 2.6.5
```
- The maximum thread count can now be set at import-time by setting the
environment variable 'NUMEXPR_MAX_THREADS'. The default number of
max threads was lowered from 4096 (which was deemed excessive) to 64.
- A number of imports were removed (pkg_resources) or made lazy (cpuinfo) in
order to speed load-times for downstream packages (such as `pandas`, `sympy`,
and `tables`). Import time has dropped from about 330 ms to 90 ms. Thanks to
Jason Sachs for pointing out the source of the slow-down.
- Thanks to Alvaro Lopez Ortega for updates to benchmarks to be compatible with
Python 3.
- Travis and AppVeyor now fail if the test module fails or errors.
- Thanks to Mahdi Ben Jelloul for a patch that removed a bug where constants
in `where` calls would raise a ValueError.
- Fixed a bug whereby all-constant power operations would lead to infinite
recursion.
```
### 2.6.2
```
- Updates to keep with API changes in newer NumPy versions (228).
Thanks to Oleksandr Pavlyk.
- Removed several warnings (226 and 227). Thanks to Oleksander Pavlyk.
- Fix bugs in function `stringcontains()` (230). Thanks to Alexander Shadchin.
- Detection of the POWER processor (232). Thanks to Breno Leitao.
- Fix pow result casting (235). Thanks to Fernando Seiti Furusato.
- Fix integers to negative integer powers (240). Thanks to Antonio Valentino.
- Detect numpy exceptions in expression evaluation (240). Thanks to Antonio Valentino.
- Better handling of RC versions (243). Thanks to Antonio Valentino.
```
Links
- PyPI: https://pypi.org/project/numexpr
- Changelog: https://pyup.io/changelogs/numexpr/
- Repo: https://github.com/pydata/numexpr
This PR pins numexpr to the latest release 2.7.2.
Changelog
### 2.6.5 ``` - The maximum thread count can now be set at import-time by setting the environment variable 'NUMEXPR_MAX_THREADS'. The default number of max threads was lowered from 4096 (which was deemed excessive) to 64. - A number of imports were removed (pkg_resources) or made lazy (cpuinfo) in order to speed load-times for downstream packages (such as `pandas`, `sympy`, and `tables`). Import time has dropped from about 330 ms to 90 ms. Thanks to Jason Sachs for pointing out the source of the slow-down. - Thanks to Alvaro Lopez Ortega for updates to benchmarks to be compatible with Python 3. - Travis and AppVeyor now fail if the test module fails or errors. - Thanks to Mahdi Ben Jelloul for a patch that removed a bug where constants in `where` calls would raise a ValueError. - Fixed a bug whereby all-constant power operations would lead to infinite recursion. ``` ### 2.6.2 ``` - Updates to keep with API changes in newer NumPy versions (228). Thanks to Oleksandr Pavlyk. - Removed several warnings (226 and 227). Thanks to Oleksander Pavlyk. - Fix bugs in function `stringcontains()` (230). Thanks to Alexander Shadchin. - Detection of the POWER processor (232). Thanks to Breno Leitao. - Fix pow result casting (235). Thanks to Fernando Seiti Furusato. - Fix integers to negative integer powers (240). Thanks to Antonio Valentino. - Detect numpy exceptions in expression evaluation (240). Thanks to Antonio Valentino. - Better handling of RC versions (243). Thanks to Antonio Valentino. ```Links
- PyPI: https://pypi.org/project/numexpr - Changelog: https://pyup.io/changelogs/numexpr/ - Repo: https://github.com/pydata/numexpr