- 14 Dec, 2015 3 commits
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Robert T. McGibbon authored
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Robert T. McGibbon authored
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Robert T. McGibbon authored
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- 13 Dec, 2015 2 commits
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Robert T. McGibbon authored
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Robert T. McGibbon authored
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- 04 Dec, 2015 3 commits
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Robert T. McGibbon authored
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Robert T. McGibbon authored
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Robert T. McGibbon authored
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- 03 Dec, 2015 1 commit
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Robert T. McGibbon authored
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- 17 Nov, 2015 1 commit
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Robert T. McGibbon authored
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- 16 Nov, 2015 1 commit
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Peter Eastman authored
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- 15 Nov, 2015 1 commit
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Robert McGibbon authored
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- 11 Nov, 2015 1 commit
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Peter Eastman authored
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- 05 Nov, 2015 1 commit
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Peter Eastman authored
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- 04 Nov, 2015 4 commits
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Robert McGibbon authored
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Robert McGibbon authored
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Robert McGibbon authored
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Robert McGibbon authored
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- 03 Nov, 2015 9 commits
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Robert McGibbon authored
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Robert McGibbon authored
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Robert McGibbon authored
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Robert McGibbon authored
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Robert McGibbon authored
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Robert McGibbon authored
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Robert McGibbon authored
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Robert McGibbon authored
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Robert McGibbon authored
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- 28 Oct, 2015 1 commit
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peastman authored
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- 10 Sep, 2015 1 commit
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peastman authored
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- 04 Sep, 2015 1 commit
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peastman authored
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- 02 Sep, 2015 1 commit
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peastman authored
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- 27 Aug, 2015 1 commit
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peastman authored
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- 26 Aug, 2015 2 commits
- 24 Jul, 2015 1 commit
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peastman authored
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- 09 Jul, 2015 1 commit
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peastman authored
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- 19 Jun, 2015 2 commits
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Jason Swails authored
This should be *lower* than that of Unit (and ScaledUnit/BaseUnit), since we still want Units to take priority over Quantities (but Quantity to take precedence over regular ndarrays) for reasons like this: >>> a = np.array([1]) * u.angstroms >>> b = a * u.angstroms # should be np.array([1])*u.angstroms**2 >>> np.arange(10) * a # utilize broadcasting [1 2 3 4 5 6 7 8 9 10] A**2
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Jason Swails authored
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- 12 Jun, 2015 1 commit
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peastman authored
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- 19 May, 2015 1 commit
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peastman authored
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