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2.4.0 tag commit #1345

Closed durack1 closed 8 years ago

durack1 commented 9 years ago

@doutriaux1 @aashish24 might I suggest the following step-by-step is undertaken for 2.4.0 tagging? This should clear up some of the issues that have popped up with 2.2.0:

@doutriaux1 were there any other steps that aren't included above, if so please add/edit..

aashish24 commented 9 years ago

@durack1 we need to update it with few more things but this is a good start. I will add my suggestion to it later today.

durack1 commented 9 years ago

@aashish24 no problem, it would be great to clarify things properly so that there will be no need to move tags multiple times which just gets everyone confused.. If we set out a plan with a very defined step-by-step process, this can just be followed for each subsequent release..

aashish24 commented 9 years ago

Sure :+1: Actually why don't we put it under the source code? Thoughts?

durack1 commented 9 years ago

@aashish24 sure, that's another option - I just think having a step by step will ensure that the confusion of 2.2 and earlier tags isn't replicated

aashish24 commented 9 years ago

@doutriaux1 can we tag 2.4 rc1 today?

durack1 commented 9 years ago

@chaosphere2112 can you please re-run your release note scraper to produce the 2.4.0-rc1 equivalent of the 2.2.0 release notes?

chaosphere2112 commented 9 years ago

Release notes available here.

durack1 commented 9 years ago

@chaosphere2112 thanks for this!

doutriaux1 commented 9 years ago

@chaosphere2112 gatekeeper tag should be ommited, it's really only for us it's fixed in a branch and should be closed.

aashish24 commented 9 years ago

this is great. Instead of *\ can we use "Others"

aashish24 commented 9 years ago

Or something similar.

durack1 commented 9 years ago

@chaosphere2112 can you recreate the release notes again please? It looks like there is some cleaning up to be done..

doutriaux1 commented 9 years ago

@chaosphere2112 let's wait until it's tagged.

durack1 commented 9 years ago

@aashish24 probably time to revisit the steps outlined at the top..

aashish24 commented 9 years ago

I think these steps are good but missing

Yep I can edit - @durack1

durack1 commented 9 years ago

@aashish24 feel free to rearrange this as you see fit (you should be able to edit your issue above - use the pen item in the top right corner of the issue box). The original intention was to outline ALL the steps one by one so that things are done once right, rather than previously when duplicate tag points confused folks for a while..

durack1 commented 9 years ago

@chaosphere2112 I just had a peek at the latest version of the 2.4.0.rc3 release notes

A couple of these are incorrect, there have been multiple update hops since 2.2.0 was released (under Build): Enhancement: Update cython to 0.22 -> should be 0.23.4 Enhancement: Update matplotlib to 1.4.3 -> should be 1.5.0 Enhancement: Update scipy to 0.16 -> should be 0.16.1

durack1 commented 9 years ago

@chaosphere2112 @doutriaux1 @aashish24 some other missing issues/completed PRs to be added to the release notes:

1635 - Update Vacumm 2.5.1 To 3.0.0

1681 - Update R 3.2.1 To 3.2.2

1683 - Update h5py 2.4.0 To 2.5.0

1686 - Update Python Seawater 3.3.2 To 3.3.4

chaosphere2112 commented 9 years ago

@durack1 I'll update the changelog as soon as I get in; my other laptop needs to get auth'd to the external network first.

chaosphere2112 commented 9 years ago

As an added bit of usefulness with this release, this should go in the release notes: a list of the major new features in 2.4 as well as examples on how to use them.

https://github.com/UV-CDAT/uvcdat/wiki/2.4-Features-Documentation

chaosphere2112 commented 9 years ago

@doutriaux1 @aashish24 @sankhesh Feel free to update that document as necessary; if you come up with new examples, I'll add them to the gallery.

durack1 commented 9 years ago

@chaosphere2112 this is unreal - such "new features" will be a great addition to highlight in the release notes, and continue to build the documentation tree through time.. It's great we have all these new colormaps too! One very happy user here..

chaosphere2112 commented 9 years ago

@durack1 Helped find a bunch of bugs, too!

durack1 commented 9 years ago

@chaosphere2112 sorry to bug again about the release notes, but they don't seem to have grabbed the changes noted above here and here

durack1 commented 9 years ago

@chaosphere2112 @doutriaux1 @dnadeau4 I think with the new colormap stuff noted above, you might be able to close #906 - take a peek and close if you think it's solved..

chaosphere2112 commented 9 years ago

@durack1 I'm looking into that now.

chaosphere2112 commented 9 years ago

@durack1 Should be fixed; the issues weren't properly tagged.

durack1 commented 9 years ago

@chaosphere2112 nope, it seems these still need tweaks - I think what is happening here is that:

Enhancement: Update cython to 0.22 -> 0.23.4 #1538 (I updated the issue title) Enhancement: Update matplotlib to 1.4.3 -> 1.5.0 #1549 Enhancement: Update vacumm to source from github (2.5.1 -> 3.0.0) #1635 (I updated the issue title) Enhancement: Update scipy to 0.16 -> 0.16.1, tweak to the next patch #1193 (I updated the issue title)

durack1 commented 9 years ago

@chaosphere2112 I've just been peeking at the matplotlib available colormaps, and am wondering if creating a similar graphic to that found at: http://matplotlib.org/1.2.1/examples/pylab_examples/show_colormaps.html (linked below) which includes all the matplotlib and vcs colormaps wouldn't be a good idea?

>>> import matplotlib
>>> print matplotlib.__version__
1.5.0
>>> import matplotlib.pyplot as plt
>>> maps = sorted(m for m in plt.cm.datad if not m.endswith("_r"))
>>> for count,a in enumerate(maps):
...  print a

Yields 72 colormaps alone, then add the VCS ones! It'd be nice to expose all these and document it somewhere.. And would also then provide an opportunity for clipping, if many duplicates exist

chaosphere2112 commented 9 years ago

@durack1 Yeah, that's a good idea. I'll get something thrown together tomorrow.

durack1 commented 9 years ago

@chaosphere2112 this might be an even more up-to-date page to base off - it includes the viridis (perceptually uniform) colormap that alot of effort was put into and also here.. I'm not sure where these colormaps are hiding (they are not included in the list generated above), but the clues are in the sample code linked above..

durack1 commented 8 years ago

@chaosphere2112 some new palettes can be found at: https://github.com/durack1/pylib/blob/master/colourLib.py

Sorry I took so long, these were in pretty bad shape and the conversion took longer than I thought..

chaosphere2112 commented 8 years ago

@durack1 OK, I'll take a look through these tomorrow (once I finish up our UV-CDAT poster for the F2F).

durack1 commented 8 years ago

@chaosphere2112 no time stress.. If they make it into 2.4.0 that would be great, if not I'll make do with master..

chaosphere2112 commented 8 years ago

@durack1 I believe I've written the code needed to import your colormaps (were they in blue, green, red?). Some of them looks slightly redundant; this chart is matplotlib on the top, VCS on the bottom left, and yours on the bottom right. Are there any in particular that you think the community would benefit from? Also, I can give you the code I used to convert them into VCS if you want it for your own usage.

colormaps

durack1 commented 8 years ago

@chaosphere2112 excellent, thanks for this!

You're right there is some redundancy, however the subtle differences with my palettes that are harder to ascertain are the exclusion of a white (or grey) separator between halves of the color scales.. Now that we have all the palettes to peruse it could be a good idea to trim the redundant/duplicated ones..

I also wonder if you've managed to grab all the latest matplotlib colormaps - as I don't see the viridis palette displayed above.. From my perusal, it seemed those new palettes are stored in some new format/location that is separate from the previous to 1.5.0 releases..

chaosphere2112 commented 8 years ago

Yup, I'm looking into that now

durack1 commented 8 years ago

@chaosphere2112 to be honest I'd wonder whether some of mine are _r (or matplotlib notation of reversed) versions of one another.. I didn't do a flipped comparison - for e.g. temp1 == rain1_r == wind1? Are these identical?

chaosphere2112 commented 8 years ago

I'll take a look and see! May well be. Hm... it might be handy to add a flag to colormap objects to flip them, so we can easily have _r maps without cluttering the colormap namespace.

durack1 commented 8 years ago

@chaosphere2112 yeah, I think it's redundant to have two numerically identical (but flipped) palettes stored - so having the ability to reverse these (so in some cases, from red -> blue to blue -> red) is a really nice feature.. It'd be great to have that built into the VCS palette objects..

chaosphere2112 commented 8 years ago

@durack1 Looks like rain1 is the reverse of temp1 and rain2 is the reverse of temp2. wind1 has a couple of more values than rain1, but I'm doing a linear interpolation to expand the colormap range to 256, at which point they're basically identical. I think I'm going to punt on adding these till after the release, and add the colormap reversal attribute at that point as well.

durack1 commented 8 years ago

@aashish24 @doutriaux1 just wondering if the 2.4.0 release page (congrats BTW) is going to be updated like the previous 2.2.0 release page - the google docs working document would make this a 2 minute job (assuming all the links are in place).

aashish24 commented 8 years ago

@durack1 yes, it will, I am in the process of it. Should be done tonight/tomorrow.

chaosphere2112 commented 8 years ago

@durack1 @aashish24 @doutriaux1 I'm updating the changelog and I'll merge in my two 2.4 branches for the website, so my links will be in place shortly.

durack1 commented 8 years ago

@chaosphere2112, it seems the release notes still need tweaks, we're a bit behind on the patch updates that aren't up-to-date to what's in 2.4.0:

Enhancement: Update cython to 0.22 -> 0.23.4 #1538 (I updated the issue title) Enhancement: Update matplotlib to 1.4.3 -> 1.5.0 #1549

sankhesh commented 8 years ago

@chaosphere2112 Could you please push those release notes to the Github Wiki to replace 2.4.0RC3 Release Notes page?

doutriaux1 commented 8 years ago

Released!

doutriaux1 commented 7 years ago

@chaosphere2112 if you would happen to have the code handy it would be great. Otherwise don't worry I can rewrite it in 15mn. Thx

chaosphere2112 commented 7 years ago

That color map code? Long gone, I'm afraid. Did @durack1 finally get this onto your list 😆?

durack1 commented 7 years ago

@chaosphere2112, who says persistence doesn't pay?!