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tuwien-cms
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xprec
Full quadruple precision (double-double) data type for numpy
MIT License
12
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4
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np.sum(a, dtype=xprec.ddouble) - too slow
#19
Serge3leo
opened
3 months ago
1
Trying to fix compilation error on Mac
#18
shinaoka
closed
4 months ago
0
Fail to build with numpy 2.0
#17
shinaoka
closed
4 months ago
1
Wrong results and failling test
#16
MoiseRousseau
closed
1 year ago
8
Python 3.11 compatibility
#15
shinaoka
closed
1 year ago
3
Python 3.10 compatibility
#14
covogel
closed
1 year ago
5
Fix licensing terms of the QD license parts.
#13
mwallerb
closed
1 year ago
0
dd license clarification
#12
carlkl
closed
5 months ago
17
Add ufuncs
#11
AaronDJohnson
closed
2 years ago
4
Some missing ufuncs and differences from numpy type behavior
#10
kburns
closed
2 years ago
7
Using ddouble as a constructor
#9
vallis
closed
2 years ago
8
Conda build
#8
shinaoka
closed
2 years ago
0
xprec packages are broken
#7
mwallerb
closed
2 years ago
1
Google Colab
#6
shinaoka
closed
2 years ago
1
Upload binary wheels
#5
shinaoka
closed
2 years ago
6
Add conda recipe and deployment
#4
shinaoka
closed
2 years ago
1
Automatic build of binary wheels and upload to PyPI
#3
shinaoka
closed
2 years ago
2
Automatic upload of binary wheels to PyPI
#2
shinaoka
closed
2 years ago
1
Building in Anaconda3 environment
#1
shinaoka
closed
2 years ago
13