BrandonFors/pandas-github-issues huggingface dataset:
REF: split pd.util.testing
State: closed

In order to parametrize a bunch of tests that currently loop over e.g. `for obj in self.objs`, a bunch of `setup_class` stuff is going to have to go into `tm`.  Instead of making that big file even bigger, this first splits it into three pieces.


Labels:

Comments:
I believe we also do not import this at pandas import time. This is making the import happen (because now you put things in the __init__.
OK.  I'll implement the stuff I care about and we can revisit the bigness of this file later.
DOC: Fix building of a single API document
State: closed

As reported in #24503#issuecomment-450586329, building a single document of the API (e.g. `./doc/make.py html --single=pandas.read_excel`) is broken after splitting `api.rst` in multiple files in #24462.

This PR fixes it.

Labels:
name: Docs

Comments:
thanks @datapythonista
DOC: Use top-level pd.IntervalArray in doc examples
State: closed

Follow-up to #23581

Minor changes to make sure `pd.IntervalArray` is used in the doc examples instead of `pd.core.arrays.IntervalArray`.  Pretty sure this is all the instances of them; I tried to be diligent in marking these with a TODO, and can't find any additional examples via a quick search.

Labels:
name: Docs
name: Interval
description: Interval data type

Comments:
# [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24475?src=pr&el=h1) Report
> Merging [#24475](https://codecov.io/gh/pandas-dev/pandas/pull/24475?src=pr&el=desc) into [master](https://codecov.io/gh/pandas-dev/pandas/commit/ff280485a24acbb5f466f4e29d19ab7bc3d02de2?src=pr&el=desc) will **not change** coverage.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/pandas-dev/pandas/pull/24475/graphs/tree.svg?width=650&token=eZ4WkYLtcO&height=150&src=pr)](https://codecov.io/gh/pandas-dev/pandas/pull/24475?src=pr&el=tree)

```diff
@@           Coverage Diff           @@
##           master   #24475   +/-   ##
=======================================
  Coverage   92.32%   92.32%           
=======================================
  Files         166      166           
  Lines       52298    52298           
=======================================
  Hits        48285    48285           
  Misses       4013     4013
```

| Flag | Coverage Δ | |
|---|---|---|
| #multiple | `90.74% <ø> (ø)` | :arrow_up: |
| #single | `43.06% <ø> (ø)` | :arrow_up: |

| [Impacted Files](https://codecov.io/gh/pandas-dev/pandas/pull/24475?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pandas/core/arrays/interval.py](https://codecov.io/gh/pandas-dev/pandas/pull/24475/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYXJyYXlzL2ludGVydmFsLnB5) | `93.04% <ø> (ø)` | :arrow_up: |
| [pandas/core/indexes/interval.py](https://codecov.io/gh/pandas-dev/pandas/pull/24475/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvaW5kZXhlcy9pbnRlcnZhbC5weQ==) | `95.26% <ø> (ø)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24475?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24475?src=pr&el=footer). Last update [ff28048...fe95f17](https://codecov.io/gh/pandas-dev/pandas/pull/24475?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
DOC: Fixing doc upload (no such remote origin)
State: closed

- [X] closes #24455
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry

Didn't test it locally, as it's quite complicated (besides needing a token, the script changes the global git config).

But I think this should fix the problem. Seems like the problem is that we're deleting the remote origin of the github pages repo, just in case. Before it was ok, because we didn't make the script fail if something went wrong, but in #24292 we implemented that if something goes wrong in the doc build, we cancel and we fail it (with the shell option `-e`).

CC: @jreback 

Labels:
name: Docs

Comments:
thanks @datapythonista let's see
the build finished all right in master (was pushed correctly): https://api.travis-ci.org/v3/job/472839201/log.txt
CI: Moving CircleCI build to Travis
State: closed

- [X] xref #23821
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry

Moving the CircleCI job to Travis. In a separate PR, I'll some jobs not using mysql and postgres to Azure, to balance things, and make the whole CI finish earlier.

Labels:
name: CI
description: Continuous Integration

Comments:
thanks. will disable Circle now.
REF/TST: Add more pytest idiom to test_read_fwf.py
State: closed

Also refactors out a compression writing utility function originally just for `test_compression.py`.

xref https://github.com/pandas-dev/pandas/pull/22200#issuecomment-448525434

Labels:
name: Refactor
description: Internal refactoring of code
name: Testing
description: pandas testing functions or related to the test suite

Comments:
# [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24361?src=pr&el=h1) Report
> Merging [#24361](https://codecov.io/gh/pandas-dev/pandas/pull/24361?src=pr&el=desc) into [master](https://codecov.io/gh/pandas-dev/pandas/commit/14c33b0e531ba955ae20a6e37750261133e5391e?src=pr&el=desc) will **decrease** coverage by `<.01%`.
> The diff coverage is `91.66%`.

[![Impacted file tree graph](https://codecov.io/gh/pandas-dev/pandas/pull/24361/graphs/tree.svg?width=650&token=eZ4WkYLtcO&height=150&src=pr)](https://codecov.io/gh/pandas-dev/pandas/pull/24361?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master   #24361      +/-   ##
==========================================
- Coverage   92.29%   92.29%   -0.01%     
==========================================
  Files         162      162              
  Lines       51808    51832      +24     
==========================================
+ Hits        47817    47839      +22     
- Misses       3991     3993       +2
```

| Flag | Coverage Δ | |
|---|---|---|
| #multiple | `90.7% <91.66%> (ø)` | :arrow_up: |
| #single | `42.98% <4.16%> (-0.02%)` | :arrow_down: |

| [Impacted Files](https://codecov.io/gh/pandas-dev/pandas/pull/24361?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pandas/util/testing.py](https://codecov.io/gh/pandas-dev/pandas/pull/24361/diff?src=pr&el=tree#diff-cGFuZGFzL3V0aWwvdGVzdGluZy5weQ==) | `87.66% <91.66%> (+0.08%)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24361?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24361?src=pr&el=footer). Last update [14c33b0...8e77117](https://codecov.io/gh/pandas-dev/pandas/pull/24361?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).

thanks @gfyoung
PERF: speed up factorization of categoricals
State: closed

Factorizing Categoricals/CategoricalIndexes in ``_factorize_from_iterable`` is unneccesary slow, because a unneeded CategoricalIndex is created. This fixes that.

```python
>>> n = 1_000_000
>>> c = pd.Categorical(list('a' * n) + (['bcd'] * n), categories=['a', 'bcd'])
>>> %timeit pd.core.arrays.categorical._factorize_from_iterable(c)
120 µs  # master
2.84 µs  # this PR
```


Labels:

Comments:
Hello @topper-123! Thanks for submitting the PR.

 - There are no PEP8 issues in the file [`pandas/core/arrays/categorical.py`](https://github.com/topper-123/pandas/blob/33f0942d1193aa512aba41e8fe73dca4751830e4/pandas/core/arrays/categorical.py) !


No, not for this specifically. This is also marked a private method, so it stands for some reason that it isn't in the ASV benchmarks. I don't really see why it should be marked private though.

I could make it a public method and create some asv tests.

BTW, I've had trouble archieving consistent result from ASV because I'm using windows (see https://github.com/airspeed-velocity/asv/issues/775), so not sure if my ASV tests will be very stable.
this is private but called by a lot of functions as this is used in MutiInddx construction 
Had a unexpected blocker. Closing until I've got a usable solution.
REF: Period check compatabile with
State: closed

Split from #24024 

cc @jbrockmendel 

There are a couple cases in `PeriodArray.__setitem__` that I didn't update, because `PeriodArray.__setitem__` is being remove entirely in #24024.

Labels:
name: Refactor
description: Internal refactoring of code

Comments:
Hello @TomAugspurger! Thanks for submitting the PR.

 - There are no PEP8 issues in the file [`pandas/core/arrays/period.py`](https://github.com/TomAugspurger/pandas/blob/7169494edaeb3bc25128674300ff6d804b581066/pandas/core/arrays/period.py) !


lgtm. merge on green.
Travis fail is hypothesis
Yep, ignoring it though I'll keep my eye on the merge build.
There are 5 places in indexes.period where DIFFERENT_FREQ/IncompatibleFrequency are used. Should these dispatch to self._data._check_compatible_with?
Seems reasonable to me.

On Fri, Dec 14, 2018 at 4:12 PM jbrockmendel <notifications@github.com>
wrote:

> There are 5 places in indexes.period where
> DIFFERENT_FREQ/IncompatibleFrequency are used. Should these dispatch to
> self._data._check_compatible_with?
>
> —
> You are receiving this because you modified the open/close state.
> Reply to this email directly, view it on GitHub
> <https://github.com/pandas-dev/pandas/pull/24285#issuecomment-447494445>,
> or mute the thread
> <https://github.com/notifications/unsubscribe-auth/ABQHIlPRqRIGP72oPIB-RZP5m4-rH2Uhks5u5CJPgaJpZM4ZUO82>
> .
>
EHN: Add filename to FileNotFoundError
State: closed

When pandas raises a `FileNotFoundError`, it was not setting the [`filename`](https://docs.python.org/3/library/exceptions.html#OSError.filename) component.

This adds in that feature as well a test for it.

Labels:
name: Enhancement
name: IO Data
description: IO issues that don't fit into a more specific label
name: Error Reporting
description: Incorrect or improved errors from pandas

Comments:
Hello @milliams! Thanks for updating the PR.



Cheers ! There are no PEP8 issues in this Pull Request. :beers: 

##### Comment last updated on January 05, 2019 at 19:42 Hours UTC
# [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24266?src=pr&el=h1) Report
> Merging [#24266](https://codecov.io/gh/pandas-dev/pandas/pull/24266?src=pr&el=desc) into [master](https://codecov.io/gh/pandas-dev/pandas/commit/c0371288ff125cad66bc8689ab425dd4cc11c64a?src=pr&el=desc) will **increase** coverage by `<.01%`.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/pandas-dev/pandas/pull/24266/graphs/tree.svg?width=650&token=eZ4WkYLtcO&height=150&src=pr)](https://codecov.io/gh/pandas-dev/pandas/pull/24266?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master   #24266      +/-   ##
==========================================
+ Coverage   92.22%   92.22%   +<.01%     
==========================================
  Files         162      162              
  Lines       51785    51785              
==========================================
+ Hits        47758    47759       +1     
+ Misses       4027     4026       -1
```

| Flag | Coverage Δ | |
|---|---|---|
| #multiple | `90.62% <ø> (ø)` | :arrow_up: |
| #single | `43.01% <ø> (ø)` | :arrow_up: |

| [Impacted Files](https://codecov.io/gh/pandas-dev/pandas/pull/24266?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pandas/util/testing.py](https://codecov.io/gh/pandas-dev/pandas/pull/24266/diff?src=pr&el=tree#diff-cGFuZGFzL3V0aWwvdGVzdGluZy5weQ==) | `87.41% <0%> (-0.1%)` | :arrow_down: |
| [pandas/io/json/json.py](https://codecov.io/gh/pandas-dev/pandas/pull/24266/diff?src=pr&el=tree#diff-cGFuZGFzL2lvL2pzb24vanNvbi5weQ==) | `93.09% <0%> (+0.47%)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24266?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24266?src=pr&el=footer). Last update [c037128...4656b3e](https://codecov.io/gh/pandas-dev/pandas/pull/24266?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).

@milliams can you merge master and update to comments
closing as stale, if you want to continue, pls ping.
@jreback : I'm going to push this through.
@jreback : I rebased and addressed my own comment, and all is still green.  PTAL.
thanks @milliams & @gfyoung
DOC: Fix visualization.rst flake8 issues
State: closed

Removes a number of trailing whitespaces as well

- [x] closes #24181 
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry


Labels:
name: Docs
name: Clean

Comments:
# [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24186?src=pr&el=h1) Report
> Merging [#24186](https://codecov.io/gh/pandas-dev/pandas/pull/24186?src=pr&el=desc) into [master](https://codecov.io/gh/pandas-dev/pandas/commit/fb7dbe016230463c93ff08fb1fc934e8c684400b?src=pr&el=desc) will **not change** coverage.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/pandas-dev/pandas/pull/24186/graphs/tree.svg?width=650&token=eZ4WkYLtcO&height=150&src=pr)](https://codecov.io/gh/pandas-dev/pandas/pull/24186?src=pr&el=tree)

```diff
@@           Coverage Diff           @@
##           master   #24186   +/-   ##
=======================================
  Coverage   92.21%   92.21%           
=======================================
  Files         162      162           
  Lines       51723    51723           
=======================================
  Hits        47694    47694           
  Misses       4029     4029
```

| Flag | Coverage Δ | |
|---|---|---|
| #multiple | `90.61% <ø> (ø)` | :arrow_up: |
| #single | `43.03% <ø> (ø)` | :arrow_up: |

| [Impacted Files](https://codecov.io/gh/pandas-dev/pandas/pull/24186?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pandas/core/arrays/datetimes.py](https://codecov.io/gh/pandas-dev/pandas/pull/24186/diff?src=pr&el=tree#diff-cGFuZGFzL2NvcmUvYXJyYXlzL2RhdGV0aW1lcy5weQ==) | `98.56% <0%> (ø)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24186?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24186?src=pr&el=footer). Last update [fb7dbe0...7e3309d](https://codecov.io/gh/pandas-dev/pandas/pull/24186?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).

Sorry I wasn't clear, but do you mind removing it from the previous cell?

Lines shouldn't end in semicolon, the only case where we use them is in the last line of a block that returns a block. Without the semicolon, besides displaying the plot, it shows the plot object, which doesn't look great.
@datapythonista sorry about that -- misunderstood what you had said. Removed the first semicolon.
Issue 24071
State: closed

![image](https://user-images.githubusercontent.com/30026355/49678501-b114e900-fa52-11e8-8bba-e45e9f900da4.png)

Hi I tried my best, but there is still 4 error unfixed. 


Labels:

Comments:
Hello @giantpanpan! Thanks for updating the PR.

 - There are no PEP8 issues in the file [`pandas/core/base.py`](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/base.py) !

 - In the file [`pandas/core/frame.py`](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/frame.py), following                are the PEP8 issues :
> [Line 7063:80](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/frame.py#L7063): [E501](https://duckduckgo.com/?q=pep8%20E501) line too long (80 > 79 characters)


 - There are no PEP8 issues in the file [`pandas/core/generic.py`](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/generic.py) !

 - There are no PEP8 issues in the file [`pandas/core/groupby/generic.py`](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/groupby/generic.py) !

 - In the file [`pandas/core/groupby/groupby.py`](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/groupby/groupby.py), following                are the PEP8 issues :
> [Line 1315:12](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/groupby/groupby.py#L1315): [W291](https://duckduckgo.com/?q=pep8%20W291) trailing whitespace
> [Line 1326:26](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/groupby/groupby.py#L1326): [E225](https://duckduckgo.com/?q=pep8%20E225) missing whitespace around operator
> [Line 1329:25](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/groupby/groupby.py#L1329): [E225](https://duckduckgo.com/?q=pep8%20E225) missing whitespace around operator


 - There are no PEP8 issues in the file [`pandas/core/groupby/grouper.py`](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/groupby/grouper.py) !

 - There are no PEP8 issues in the file [`pandas/core/groupby/ops.py`](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/groupby/ops.py) !

 - There are no PEP8 issues in the file [`pandas/core/series.py`](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/series.py) !

 - There are no PEP8 issues in the file [`pandas/core/window.py`](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/core/window.py) !

 - There are no PEP8 issues in the file [`pandas/plotting/_core.py`](https://github.com/giantpanpan/pandas/blob/c671293f1b630b37228142cec4d653197ae45da6/pandas/plotting/_core.py) !



##### Comment last updated on December 08, 2018 at 00:15 Hours UTC
REF/TST: Add more pytest idiom to scalar/test_nat
State: closed


Labels:
name: Refactor
description: Internal refactoring of code
name: Testing
description: pandas testing functions or related to the test suite

Comments:
Hello @gfyoung! Thanks for submitting the PR.

 - There are no PEP8 issues in the file [`pandas/tests/scalar/test_nat.py`](https://github.com/gfyoung/pandas/blob/3cafd3f3214999da6dc17a0aa298dd55a6372e2d/pandas/tests/scalar/test_nat.py) !


# [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24120?src=pr&el=h1) Report
> Merging [#24120](https://codecov.io/gh/pandas-dev/pandas/pull/24120?src=pr&el=desc) into [master](https://codecov.io/gh/pandas-dev/pandas/commit/b8413746d9d4c4ba6f7a1e694eabf7351f22b1a1?src=pr&el=desc) will **decrease** coverage by `<.01%`.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/pandas-dev/pandas/pull/24120/graphs/tree.svg?width=650&token=eZ4WkYLtcO&height=150&src=pr)](https://codecov.io/gh/pandas-dev/pandas/pull/24120?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master   #24120      +/-   ##
==========================================
- Coverage    92.2%    92.2%   -0.01%     
==========================================
  Files         162      162              
  Lines       51701    51701              
==========================================
- Hits        47672    47671       -1     
- Misses       4029     4030       +1
```

| Flag | Coverage Δ | |
|---|---|---|
| #multiple | `90.6% <ø> (ø)` | :arrow_up: |
| #single | `43.02% <ø> (-0.01%)` | :arrow_down: |

| [Impacted Files](https://codecov.io/gh/pandas-dev/pandas/pull/24120?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pandas/io/json/json.py](https://codecov.io/gh/pandas-dev/pandas/pull/24120/diff?src=pr&el=tree#diff-cGFuZGFzL2lvL2pzb24vanNvbi5weQ==) | `92.61% <0%> (-0.48%)` | :arrow_down: |
| [pandas/util/testing.py](https://codecov.io/gh/pandas-dev/pandas/pull/24120/diff?src=pr&el=tree#diff-cGFuZGFzL3V0aWwvdGVzdGluZy5weQ==) | `87.51% <0%> (+0.09%)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24120?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/pandas-dev/pandas/pull/24120?src=pr&el=footer). Last update [b841374...3d62025](https://codecov.io/gh/pandas-dev/pandas/pull/24120?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).

thanks @gfyoung
WIP/CI: Clean up to test calls
State: closed

**DO NOT MERGE**: As single tests do not fail in a deterministic way, I'll rerun the CI several times to see that the `--dist` option is fixing the concurrency problems as expected.

- Using `--dist=loadscope` instead of calling pytest twice to not run `single` tests in parallel
- Renaming `single` marker to `serial` to keep consistency with pytest naming
- Moving `pytest` common arguments to `setup.cfg` so they don't need to be repeated in every call in the CI or in the local environments
- Removing shorcut scripts to call `pytest` with the parameters added to `setup.cfg`
- Made the `run_tests` script multiplatform by reimplementing it in Python, so all the calls are the same (which avoids duplicate code, and could allow changing the test locale in Windows)


Labels:
name: Testing
description: pandas testing functions or related to the test suite
name: CI
description: Continuous Integration
name: Clean

Comments:
Hello @datapythonista! Thanks for updating the PR.





















Cheers ! There are no PEP8 issues in this Pull Request. :beers: 

##### Comment last updated on December 29, 2018 at 12:35 Hours UTC
Is this still active?
yes, I need to investigate why tests are taking longer in this branch, which is weird, but would be great to have this merged after that, it cleans the CI configuration significantly
closing as stale.