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Numpy 1.13 support #1085

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adler-j opened this issue Aug 4, 2017 · 2 comments
Closed

Numpy 1.13 support #1085

adler-j opened this issue Aug 4, 2017 · 2 comments
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area: core type: deficiency

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@adler-j
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adler-j commented Aug 4, 2017

We currently require numpy < 1.13 which is causing issues with e.g. #1084. This has become extra complicated now that numpy 1.13 is the default on conda.

What is the roadmap to getting numpy 1.13 support back?
@kohr-h
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kohr-h commented Aug 7, 2017

I'm currently finishing the __array_ufunc__ interface on #861 where it makes most sense. After that, Numpy 1.13 should work again. More work on the tensor branch is scheduled, I want to get it done asap.

kohr-h pushed a commit that referenced this issue Aug 17, 2017
REL: allow Numpy >= 1.13, closes #1085
228a680
kohr-h pushed a commit that referenced this issue Sep 1, 2017
REL: allow Numpy >= 1.13, closes #1085
9bf52f9
kohr-h pushed a commit that referenced this issue Sep 2, 2017
REL: allow Numpy >= 1.13, closes #1085
4c8e108
kohr-h pushed a commit that referenced this issue Sep 6, 2017
REL: allow Numpy >= 1.13, closes #1085
3a11b91
kohr-h pushed a commit to kohr-h/odl that referenced this issue Sep 21, 2017
REL: allow Numpy >= 1.13, closes odlgroup#1085
40a1001
kohr-h pushed a commit that referenced this issue Sep 25, 2017
REL: allow Numpy >= 1.13, closes #1085
283b981
kohr-h pushed a commit that referenced this issue Sep 26, 2017
REL: allow Numpy >= 1.13, closes #1085
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kohr-h pushed a commit that referenced this issue Sep 27, 2017
REL: allow Numpy >= 1.13, closes #1085
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kohr-h pushed a commit that referenced this issue Oct 2, 2017
REL: allow Numpy >= 1.13, closes #1085
62272ad
kohr-h pushed a commit to kohr-h/odl that referenced this issue Oct 5, 2017
REL: allow Numpy >= 1.13, closes odlgroup#1085
4bb57be
kohr-h pushed a commit that referenced this issue Nov 4, 2017
ENH: implement tensor spaces
97bba94 
Closes: #225, #342, #856, #964, #1085

Details:

- Implement multi-indexing of ODL vectors
- Implement tensor-valued `FunctionSpaceElement` using a
  numpy.dtype with shape
- Implement __array_ufunc__ interface for tensors and DiscreteLpElement
- Remove `order` from spaces, add to `element` instead
- Allow Numpy 1.13
- Rewrite documentation
- Rename `uspace` and `dspace` to `fspace` and `tspace`,
  respectively.
- Move fn_ops code to tensor_ops
- Implement `MatrixOperator` for multiple axes
- Allow `field=None` in LinearSpace
- Remove local Numpy compat code
- Adapt tests
- Simplify pytest fixtures
kohr-h pushed a commit that referenced this issue Nov 11, 2017
ENH: implement tensor spaces
cdce702 
Closes: #225, #342, #856, #964, #1085

Details:

- Implement multi-indexing of ODL vectors
- Implement tensor-valued `FunctionSpaceElement` using a
  numpy.dtype with shape
- Implement __array_ufunc__ interface for tensors and DiscreteLpElement
- Remove `order` from spaces, add to `element` instead
- Allow Numpy 1.13
- Rewrite documentation
- Rename `uspace` and `dspace` to `fspace` and `tspace`,
  respectively.
- Move fn_ops code to tensor_ops
- Implement `MatrixOperator` for multiple axes
- Allow `field=None` in LinearSpace
- Remove local Numpy compat code
- Adapt tests
- Simplify pytest fixtures
kohr-h pushed a commit that referenced this issue Nov 13, 2017
ENH: implement tensor spaces
055e655 
Closes: #225, #342, #856, #964, #1085

Details:

- Implement multi-indexing of ODL vectors
- Implement tensor-valued `FunctionSpaceElement` using a
  numpy.dtype with shape
- Implement __array_ufunc__ interface for tensors and DiscreteLpElement
- Remove `order` from spaces, add to `element` instead
- Allow Numpy 1.13
- Rewrite documentation
- Rename `uspace` and `dspace` to `fspace` and `tspace`,
  respectively.
- Move fn_ops code to tensor_ops
- Implement `MatrixOperator` for multiple axes
- Allow `field=None` in LinearSpace
- Remove local Numpy compat code
- Adapt tests
- Simplify pytest fixtures
@kohr-h
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kohr-h commented Nov 14, 2017

Closed by #1088

@kohr-h kohr-h closed this as completed Nov 14, 2017
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