Test conda 4.7.1

[TomAugspurger]

Testing conda 4.7.x

[codecov]

Codecov Report

Merging #26595 into master will decrease coverage by 50.15%.
The diff coverage is n/a.

@@             Coverage Diff             @@
##           master   #26595       +/-   ##
===========================================
- Coverage   91.84%   41.69%   -50.16%     
===========================================
  Files         174      174               
  Lines       50644    50644               
===========================================
- Hits        46516    21116    -25400     
- Misses       4128    29528    +25400

Flag	Coverage Δ
#multiple	?
#single	41.69% <ø> (-0.11%)	⬇️

Impacted Files	Coverage Δ
pandas/io/formats/latex.py	0% <0%> (-100%)	⬇️
pandas/io/sas/sas_constants.py	0% <0%> (-100%)	⬇️
pandas/core/groupby/categorical.py	0% <0%> (-100%)	⬇️
pandas/tseries/plotting.py	0% <0%> (-100%)	⬇️
pandas/tseries/converter.py	0% <0%> (-100%)	⬇️
pandas/io/formats/html.py	0% <0%> (-99.37%)	⬇️
pandas/io/sas/sas7bdat.py	0% <0%> (-91.16%)	⬇️
pandas/io/sas/sas_xport.py	0% <0%> (-90.1%)	⬇️
pandas/core/tools/numeric.py	10.14% <0%> (-89.86%)	⬇️
pandas/io/s3.py	0% <0%> (-89.48%)	⬇️
... and 128 more

---

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[codecov]

Codecov Report

Merging #26595 into master will increase coverage by 1.35%.
The diff coverage is 100%.

@@            Coverage Diff             @@
##           master   #26595      +/-   ##
==========================================
+ Coverage   90.64%      92%   +1.35%     
==========================================
  Files         180      180              
  Lines       50754    50754              
==========================================
+ Hits        46005    46695     +690     
+ Misses       4749     4059     -690

Flag	Coverage Δ
#multiple	90.64% <100%> (ø)	⬆️
#single	41.85% <0%> (?)

Impacted Files	Coverage Δ
pandas/compat/_optional.py	100% <ø> (ø)	⬆️
pandas/io/html.py	94.29% <100%> (ø)	⬆️
pandas/util/testing.py	90.94% <0%> (+0.1%)	⬆️
pandas/core/arrays/categorical.py	95.92% <0%> (+0.12%)	⬆️
pandas/core/indexes/datetimes.py	96.37% <0%> (+0.16%)	⬆️
pandas/io/formats/printing.py	86.72% <0%> (+0.94%)	⬆️
pandas/io/clipboard/clipboards.py	34.78% <0%> (+2.89%)	⬆️
pandas/core/computation/expr.py	97.8% <0%> (+3.02%)	⬆️
pandas/core/computation/common.py	89.47% <0%> (+5.26%)	⬆️
pandas/io/pytables.py	90.3% <0%> (+25.43%)	⬆️
... and 1 more

---

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[TomAugspurger]

The remaining failures are due to the free channel is no longer included. https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=12064&view=logs&jobId=d6a36677-9147-59f9-684d-001fc5c44c5e&taskId=9cd84fbe-5446-5224-e7d9-fb3364f72566&lineStart=305&lineEnd=306&colStart=1&colEnd=1 and https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=12064&view=logs&jobId=a69e7846-138e-5465-0656-921e8964615b&taskId=b5a8be37-ad64-5774-649a-2b5e4f73cc9a&lineStart=318&lineEnd=319&colStart=1&colEnd=1. Need to either bump those old package versions, remove those optional deps in those builds, or restore free.

[TomAugspurger]

To summarize, conda is removing the free channel by default, so some of our older packages won't be installed. Here are the packages requiring bumps:

library	old pin	minimum conda	release date
pytz	2015.4	2017.2	March 2017
beautifulsoup4	4.4.1	4.6.0	May 2017
xlwt	1.0.0	1.2.0	January 2017
python-dateutil	2.5.0	2.6.1	July 2017
xlsxwriter	0.7.7	0.9.8	July 2017
openpyxl	2.4.0	2.4.8	May 2017

Our options

1. Bump our minimum supported versions to those
2. Move to pip for the ones that can't come from Conda anymore
3. Add back the free channel

I think 1 or 2 is fine. I have a slight preference for 1, but either works.

[WillAyd]

Releases are two years old at this point so I think option 1 is fine as well

…

Sent from my iPhone

On Jun 11, 2019, at 1:03 PM, Tom Augspurger ***@***.***> wrote: To summarize, conda is removing the free channel by default, so some of our older packages won't be installed. Here are the packages requiring bumps: library old pin minimum conda release date pytz 2015.4 2017.2 March 2017 beautifulsoup4 4.4.1 4.6.0 May 2017 xlwt 1.0.0 1.2.0 January 2017 python-dateutil 2.5.0 2.6.1 July 2017 xlsxwriter 0.7.7 0.9.8 July 2017 openpyxl 2.4.0 2.4.8 May 2017 Our options Bump our minimum supported versions to those Move to pip for the ones that can't come from Conda anymore Add back the free channel I think 1 or 2 is fine. I have a slight preference for 1, but either works. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or mute the thread.

[jreback]

I agree, ok with bumping

[TomAugspurger]

Hopefully this next one passes, and we'll be ready.

Reminder: that we don't want to merge this. I'll make another PR for any additional prep changes (right now, just bumping the min version for pymysql)

[TomAugspurger]

Bumping gcsfs to 0.2.2; That's needed for compatibility with recent versions of dask.

[TomAugspurger]

FYI I've reverted the Conda-canary install of 4.7.x

This has a few more changes (version bumps) we should merge before 4.7.3 is released, which is happening soonish.

[TomAugspurger]

Conda 4.7 is out now, so I think this is affecting PRs.

Merging later tonight if there are no objections.

[jreback]

prob should add pymysql here as well