Skip to main content

Module with C functions. No precise purpose yet.

Project description

https://github.com/sdpython/cpyquickhelper/blob/master/_doc/sphinxdoc/source/phdoc_static/project_ico.png?raw=true

cpyquickhelper: python + C++ in different ways

Build status Build Status Windows https://circleci.com/gh/sdpython/cpyquickhelper/tree/master.svg?style=svg https://dev.azure.com/xavierdupre3/cpyquickhelper/_apis/build/status/sdpython.cpyquickhelper https://badge.fury.io/py/cpyquickhelper.svg MIT License Requirements Status https://codecov.io/github/sdpython/cpyquickhelper/coverage.svg?branch=master GitHub Issues Notebook Coverage size

cpyquickhelper is a template to create a module with C functions in different ways. It implements function measure_time:

from cpyquickhelper.numbers import measure_time
from math import cos

res = measure_time("cos(x)", context=dict(cos=cos, x=5.))
print(res)
{'average': 3.909366205334663e-06, 'deviation': 6.238702219064397e-07,
 'min_exec': 3.635883331298828e-06, 'max_exec': 5.776062607765198e-06,
 'repeat': 10, 'number': 50, 'context_size': 240}

On Windows, the following exception might happen:

LINK : fatal error LNK1158: impossible d'exécuter 'rc.exe'

Which might be resolved with the following line before building it:

set PATH=%PATH%;C:\Program Files (x86)\Windows Kits\10\bin\10.0.16299.0\x64

Links:

History

current - 2021-01-01 - 0.00Mb

  • 21: Fixes setup.py when dependencies are not installed. (2021-01-01)

0.2.330 - 2020-09-02 - 0.45Mb

  • 20: Fixes build on ubuntu 16.04 (2020-09-02)
  • 19: PandasDtype fails with numpy 1.19 (2020-08-07)

0.2.303 - 2020-05-16 - 0.43Mb

  • 18: Returns the results as well when capturing the standard output (2020-05-16)

0.2.299 - 2020-05-08 - 0.45Mb

  • 17: Add a simple C++ implementation for gemm. (2020-01-17)
  • 15: enable openmp on mac (2020-01-17)
  • 16: Add an example of an agnostic container (no data in python containers) (2019-08-29)
  • 14: link with openmp, implement dot product with it (2019-07-21)

0.2.229 - 2019-06-04 - 0.14Mb

0.2.226 - 2019-05-28 - 0.14Mb

  • 13: remove folder src (2019-05-23)
  • 7: add an example with cython (2019-04-04)
  • 12: implements a benchmark to measure a sum of floats with float and double accumulator (2019-03-20)

0.1.187 - 2019-02-26 - 0.17Mb

  • 11: add parameter div_by_number to measure_time (2019-02-26)
  • 10: fix binary location in the setup (2019-02-16)
  • 5: implement a new pandas column type based on a C++ array type (2019-02-02)
  • 9: add benchmark for branching (2019-01-17)
  • 1: [REMOVED] prepare an example with C# (2018-08-05)
  • 6: implements an ExtensionArray from pandas with a C++ type (2018-08-03)
  • 4: implements a series with WeightedDouble (2018-08-03)
  • 3: add an example based on pybind11 (2018-08-02)
  • 2: add history (2018-04-01)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for cpyquickhelper, version 0.3.353
Filename, size File type Python version Upload date Hashes
Filename, size cpyquickhelper-0.3.353-cp37-cp37m-macosx_10_9_x86_64.whl (754.9 kB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size cpyquickhelper-0.3.353-cp37-cp37m-manylinux2014_x86_64.whl (6.2 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size cpyquickhelper-0.3.353-cp38-cp38-macosx_10_9_x86_64.whl (761.1 kB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size cpyquickhelper-0.3.353-cp38-cp38-manylinux2014_x86_64.whl (6.2 MB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size cpyquickhelper-0.3.353-cp38-cp38-win_amd64.whl (458.3 kB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size cpyquickhelper-0.3.353-cp39-cp39-macosx_10_9_x86_64.whl (764.5 kB) File type Wheel Python version cp39 Upload date Hashes View
Filename, size cpyquickhelper-0.3.353-cp39-cp39-win_amd64.whl (458.9 kB) File type Wheel Python version cp39 Upload date Hashes View
Filename, size cpyquickhelper-0.3.353.tar.gz (145.1 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page