cpyquickhelper 0.2.303

cpyquickhelper: python + C++ in different ways

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:

• GitHub/cpyquickhelper

• documentation

• Blog

current - 2020-05-16 - 0.00Mb

• 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)