WhereIsAI/github-issue-similarity huggingface dataset:
Issue 1:
code below is scene that issue happened.

for user_id, row in pending_data_df.iterrows():

df = DataFrame(
columns=[
Names.call.same_call_counts,
Names.call.phonebook_detail
],
index=[user_id]
)

phoneBookPath = row[Names.app.phonebookpath]
call_number_list = row.get(Names.call.call_number_list)

Problem description

when I wanted to get a set from a Series , it happended.

it has worked well for a long time,but suddenly it broke out. raise Traceback like this:

Traceback (most recent call last):

File "/usr/local/lib/python3.5/threading.py", line 914, in _bootstrap_inner

self.run()

File "/home/datascience/zh/suijiesuihuan/datascience/my_threads.py", line 87, in run

ret_data, result = make_decision(int(self.layerId), df_input)

File "/home/datascience/zh/suijiesuihuan/datascience/layered_decision.py", line 52, in make_decision

data_df, result_df = load_features_group_loader(features_group_loader_id, mocking)(data_df)

File "/home/datascience/zh/suijiesuihuan/datascience/dynamic_content_loader.py", line 166, in inner

return load_and_make_decision(data_df, config_new)

File "/home/datascience/zh/suijiesuihuan/datascience/dynamic_content_loader.py", line 111, in load_and_make_decision

new_feature_group_df, error_df = _load_data(pending_df, features_loader_id, features_loader, mocking)

File "/home/datascience/zh/suijiesuihuan/datascience/dynamic_content_loader.py", line 76, in _load_data

data_df, result_df = features_loader(data_df)

File "/home/datascience/zh/suijiesuihuan/dynamic_contents/feature_group_loader/feature_group_loader_0003/feature_group_loader.py", line 55, in load

call_number_list = row.get(Names.call.call_number_list)

File "/home/datascience/zh/venv/lib/python3.5/site-packages/pandas/core/generic.py", line 1633, in get

return self[key]

File "/home/datascience/zh/venv/lib/python3.5/site-packages/pandas/core/series.py", line 611, in getitem

dtype=self.dtype).finalize(self)

File "/home/datascience/zh/venv/lib/python3.5/site-packages/pandas/core/series.py", line 227, in init

"".format(data.class.name))

TypeError: 'set' type is unordered

someone knows what happened?

Issue 2:
this fails because we are putmasking on a dtype=int ndarray

need to cast if this is the case (in series.where)

import pandas
df = pandas.DataFrame(index=[1,2])
df['test'] = [1,2]
df['test'][[True, False]] = pandas.Series([0],index=[1])

---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-9-7738933c68bb> in <module>()
----> 1 df['test'][[True,False]] = pandas.Series([0],index=[1])

/mnt/home/jreback/pandas/pandas/core/series.pyc in __setitem__(self, key, value)
677 if _is_bool_indexer(key):
678 key = self._check_bool_indexer(key)
--> 679 self.where(~key,value,inplace=True)
680 else:
681 self._set_with(key, value)

/mnt/home/jreback/pandas/pandas/core/series.pyc in where(self, cond, other, inplace)
630 raise ValueError('Length of replacements must equal series length')
631
--> 632 np.putmask(ser, ~cond, other)
633
634 return None if inplace else ser

TypeError: array cannot be safely cast to required type
Issue 1:
Code Sample, a copy-pastable example

# Your code here
df = pd.DataFrame([[pd.Timestamp(2017,12,17), pd.Timestamp(2017,12,18)], [pd.Timestamp(2017,12,31), pd.NaT]])

In [7]: df
Out[7]:
0 1
0 2017-12-17 2017-12-18
1 2017-12-31 NaT

In [8]: df < pd.Timestamp(2017,1,1)
Out[8]:
0 1
0 False False
1 False True

In [9]: df[1] < pd.Timestamp(2017,1,1)
Out[9]:
0 False
1 False

Problem description

When comparing a dataframe of dtype Timestamp to a scalar value (Timestamp or datetime), the result to NaT is always True no matter what operator is used(==, <, >, ...).

But it is not the case when compares a series of Timestamps.

Expected Output

Output of pd.show_versions()

INSTALLED VERSIONS
------------------
commit: None
python: 3.6.2.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 70 Stepping 1, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None

pandas: 0.21.1

pytest: 3.0.5

pip: 9.0.1

setuptools: 27.2.0

Cython: 0.25.2

numpy: 1.13.3

scipy: 0.18.1

pyarrow: None

xarray: 0.9.6

IPython: 6.1.0

sphinx: 1.5.1

patsy: 0.4.1

dateutil: 2.6.1

pytz: 2017.3

blosc: None

bottleneck: 1.2.0

tables: 3.4.2

numexpr: 2.6.1

feather: None

matplotlib: 2.1.0

openpyxl: 2.4.1

xlrd: 1.0.0

xlwt: 1.2.0

xlsxwriter: 0.9.6

lxml: 3.7.2

bs4: 4.5.3

html5lib: None

sqlalchemy: 1.1.5

pymysql: None

psycopg2: None

jinja2: 2.9.4

s3fs: None

fastparquet: None

pandas_gbq: None

pandas_datareader: 0.5.0

Issue 2:
Code Sample, a copy-pastable example if possible

>>> import pandas as pd
>>> nat = pd.NaT
>>> x = pd.Series([nat])
>>> x.eq(nat)
0 False
dtype: bool
>>> x == nat
0 False
dtype: bool
>>> y = pd.DataFrame(dict(x=x))
>>> y.eq(nat)
x
0 NaT
>>> y == nat
x
0 True

Problem description

Comparisons in a dataframe containing a single nat give incorrect answers. Note this occurs with both datetime and timedelta nats.

Expected Output

0 False
dtype: bool

0 False
dtype: bool

x
0 False

x
0 False

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None

python: 3.5.2.final.0

python-bits: 64

OS: Linux

OS-release: 4.9.8-100.fc24.x86_64

machine: x86_64

processor: x86_64

byteorder: little

LC_ALL: C

LANG: C

LOCALE: None.None

pandas: 0.19.0+579.g4ce9c0c

pytest: 3.0.5

pip: 9.0.1

setuptools: 27.2.0

Cython: 0.25.2

numpy: 1.11.3

scipy: 0.18.1

xarray: 0.9.1

IPython: 4.2.0

sphinx: 1.5.1

patsy: 0.4.1

dateutil: 2.6.0

pytz: 2016.10

blosc: None

bottleneck: 1.2.0

tables: 3.3.0

numexpr: 2.6.2

feather: None

matplotlib: 2.0.0

openpyxl: 2.4.1

xlrd: 1.0.0

xlwt: 1.2.0

xlsxwriter: 0.9.6

lxml: 3.7.2

bs4: 4.5.3

html5lib: 0.999

sqlalchemy: 1.1.5

pymysql: None

psycopg2: None

jinja2: 2.9.4

s3fs: None

pandas_gbq: None

pandas_datareader: None
Issue 1:
I have searched the issues of this repository and believe that this is not a duplicate.

Expected Behavior

The custom-server-typescript example should work as expected on next.js 5.1.0. All routes should resolve to their respective pages in the pages/ folder.

Current Behavior

The custom-server-typescript example's routes all return 404 on next.js 5.1.0 but work fine on 5.0.0

Steps to Reproduce (for bugs)

clone the custom-server-typescript example

follow steps to install dependencies and run example

navigate to the index, a or b routes

all routes return 404 instead of their respective pages

downgrade next.js to 5.0.0 (eg. npm install next@5.0.0 --save)

rerun the example (eg. npm run dev)

navigate to the index, a and b routes and they work as expected

Your Environment

Tech
Version

next
v5.1.0

node
v9.9.0 x64

OS
Windows 10 x64

browser
Chrome 65.0.3325.181

Issue 2:
There is an integration between Next Router and Redux like react-router-redux?
Issue 1:
Should it be possible to define a network in stax without setting a non-batch dimension?

import jax.numpy as np
from jax import random
from jax.experimental import stax
from jax.experimental.stax import Dense, Relu, Flatten, LogSoftmax

# Use stax to set up network initialization and evaluation functions
net_init, net_apply = stax.serial(Dense(128), Relu, Dense(10), LogSoftmax)

rng = random.PRNGKey(0)
# Initialize parameters, not committing to a batch shape

# works
in_shape = (-1, 1)
out_shape, net_params = net_init(rng, in_shape)

# doesn't work (fails with ValueError: all elements of broadcast shape must be non-negative)
in_shape = (-1,)
out_shape, net_params = net_init(rng, in_shape)

As a workaround, I can of course add a fake 1 dimension on the end, and then remove it later, but I was a little surprised that this doesn't automatically work.

Issue 2:
The following code snippet shows that Stax MLPs can be defined w.r.t. unbatched examples (input_size = (1,)) while Convnets seem to require a batch size (though it can be -1). Is this intended behavior?

# Works
net_init, net_apply = stax.serial(
Conv(32, (3, 3), padding='SAME'), Relu,
Conv(64, (3, 3), padding='SAME'), Relu,
MaxPool((2, 2)), Flatten,
Dense(128), Relu,
Dense(10), LogSoftmax,
)

# Initialize parameters, not committing to a batch shape
in_shape = (-1, 28, 28, 1)
out_shape, net_params = net_init(in_shape)

# Works
net_init, net_apply = stax.serial(
Dense(40), Relu,
Dense(40), Relu,
Dense(1)
)
in_shape = (1,)
out_shape, net_params = net_init(in_shape)

# Doesn't Work
net_init, net_apply = stax.serial(
Conv(32, (3, 3), padding='SAME'), Relu,
Conv(64, (3, 3), padding='SAME'), Relu,
MaxPool((2, 2)), Flatten,
Dense(128), Relu,
Dense(10), LogSoftmax,
)
in_shape = (28, 28, 1)
out_shape, net_params = net_init(in_shape)

The last one returns the following error:

IndexError Traceback (most recent call last)

in ()

9 # Initialize parameters, not committing to a batch shape

10 in_shape = (28, 28, 1)

---> 11 out_shape, net_params = net_init(in_shape)

google3/third_party/py/jax/experimental/stax.py in init_fun(input_shape)

269 params = []

270 for init_fun in init_funs:

--> 271 input_shape, param = init_fun(input_shape)

272 params.append(param)

273 return input_shape, params

google3/third_party/py/jax/experimental/stax.py in init_fun(input_shape)

109 kernel_shape = [out_chan if c == 'O' else

110 input_shape[lhs_spec.index('C')] if c == 'I' else

--> 111 next(filter_shape_iter) for c in rhs_spec]

112 output_shape = lax.conv_general_shape_tuple(

113 input_shape, kernel_shape, strides, padding, dimension_numbers)

IndexError: tuple index out of range
Issue 1:
compiler error with python3.8, but works with python3.7.

the error information is: cannot convert nullptr to Py_ssize_t for the file with /tp_print/:

For example:

torch\csrc\Dtype.cpp --> line65, nullptr /tp_print/

could you help to solve this bug for all the files with /tp_print/ ?

Issue 2:
When use Python3.8.0, it's impossible to compile Pytorch1.3 directly. Wish that could be repaired later and thanks a lot!

cc @ezyang @gchanan @zou3519
Issue 1:
Section/Content To Improve

https://github.com/axios/axios#axioscreateconfig

Suggested Improvement

Shouldn't the doc be clearer about which parameters are intended to be used with axios.create?

Until version 0.19 I used to pass the request url to axios.create without using baseURL:

const instance = axios.create({
data,
headers,
method,
url: derivedUrl,
...omit(options, 'resource', 'headers', 'customErrorInterceptor'),
});

instance.interceptors.response.use(
response => response,
(error) => {
if (options.customErrorInterceptor) {
if (typeof options.customErrorInterceptor === 'function') {
options.customErrorInterceptor(error);
}
} else globalXHRErrorHandling(error);
return Promise.reject(error);
},
);

return instance.request();

The reason of this strange choice is I want a global interceptor that sometimes is overridden by a specific one.

With 0.19 release the url param is totally ignored by axios.create. I have to pass it to instance.request.

Thanks!

Issue 2:
Describe the bug

Specific request params do not get merged with the instance default params.

To Reproduce

const instance = axios.create({
baseURL: "http://www.example.com",
params: {
q: "question",
}
});

instance.get("/page",
{
params: {
page: 2
}
}
)

What happens is that the request param object overrides the instance default param object. The instance no longer has a query param of q.

Expected behavior

According to the docs, all configuration options are merged. https://github.com/axios/axios#instance-methods

I expected request to contain both q and page params. This is also how it was working in version 0.18.0, which is how I noticed.

Environment:

Axios Version: 0.19.0

OS: 10.14.5 (18F132)

Browser: Node Express, and Chrome

Browser: Node 10.15.0, Chrome Version 74.0.3729.169 (Official Build) (64-bit)
Issue 1:
"Waypoint: Use jQuery to Modify the Entire Page" not accepting solution statement (below), even though performing function in mobile emulator. Per 'Report a Bug' page, attempted the following:

Hard Refresh by clearing cache

Logging out and back in

Searching for solution online (https://github.com/ATSlade/FCC-Workspace/wiki/jQuery)

Asked in Chat / Gitter. Issue was confirmed by user @phoenixlaef shortly before this report at 23:10 on 11/30/15.

Statement Solutions Used:

$("body").addClass("animated hinge");

$("body").addClass("animated hinge")

$('body').addClass('animated hinge');

Will move on to JavaScript waypoints tomorrow, but would like to come back and complete this. Thanks!

Challenge Waypoint: Use jQuery to Modify the Entire Page has an issue.

User Agent is: Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.86 Safari/537.36.

Please describe how to reproduce this issue, and include links to screenshots if possible.

My code:

<script>
$(document).ready(function() {
$("#target1").css("color", "red");
$("#target1").prop("disabled", true);
$("#target4").remove();
$("#target2").appendTo("#right-well");
$("#target5").clone().appendTo("#left-well");
$("#target1").parent().css("background-color", "red");
$("#right-well").children().css("color", "green");
$("#left-well").children().css("color", "green");
$(".target:nth-child(2)").addClass("animated bounce");
$(".target:even").addClass("animated shake");
$("body").addClass("animated hinge");
});
</script>

<!-- Only change code above this line. -->

<div class="container-fluid">
<h3 class="text-primary text-center">jQuery Playground</h3>
<div class="row">
<div class="col-xs-6">
<h4>#left-well</h4>
<div class="well" id="left-well">
<button class="btn btn-default target" id="target1">#target1</button>
<button class="btn btn-default target" id="target2">#target2</button>
<button class="btn btn-default target" id="target3">#target3</button>
</div>
</div>
<div class="col-xs-6">
<h4>#right-well</h4>
<div class="well" id="right-well">
<button class="btn btn-default target" id="target4">#target4</button>
<button class="btn btn-default target" id="target5">#target5</button>
<button class="btn btn-default target" id="target6">#target6</button>
</div>
</div>
</div>
</div>

Issue 2:
This will be the central issue for tracking this problem. So far it appears to be effecting tests that look for the style element or that test for specific style elements on body. Please let us know if you see cases that break from this pattern.
Issue 1:
Electron version: v1.6.0 beta

Operating system: macOS Sierra 10.12.3

Expected behavior

The OS "traffic light" buttons are inset.

Actual behavior

The OS "traffic light" buttons are not inset. It's as if the option 'hidden-inset' is interpreted as 'hidden'. This is a regression.

How to reproduce

Create a browser window with the titleBarStyle option set to 'hidden-inset'.

var win = new electron.BrowserWindow({
titleBarStyle: 'hidden-inset'
})

Issue 2:
Electron version: 1.6.0

Operating system: OS X 10.11.6

Expected behavior

The title bar should be rendered as it is in previous versions of Electron.

Actual behavior

titleBarStyle: "hidden-inset" seems to have the same behavior as titleBarStyle: "hidden".

Screenshots:

How to reproduce

This seems to happen in any app - even electron-quick-start has the issue when the title bar style is changed.
Issue 1:
logical_and : Compute the truth value of x1 AND x2 element-wise.

logical_or : Compute the truth value of x1 OR x2 `element-wise.

So far, good, however, both show this in the Returns section

y : ndarray or bool

Boolean result of the logical OR operation applied to the elements of x1 and x2; the shape is determined by broadcasting. This is a scalar if both x1 and x2 are scalars.

I am thinking that AND should be with logical_and and OR should be with logical_or

np.version # '1.17.2'

sys.version # '3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 14:00:49) [MSC v.1915 64 bit (AMD64)]' -->

Issue 2:
The documentation for numpy.logical_and() has a minor typo. The 'return' field says

Boolean result of the logical OR operation applied to the elements of x1 and x2...

Whereas it should say

Boolean result of the logical AND operation applied to the elements of x1 and x2...

(emphasis mine)

Numpy/Python version information:

numpy v1.17 online documentation
Issue 1:
I have searched the issues of this repository and believe that this is not a duplicate.

I have checked the FAQ of this repository and believe that this is not a duplicate.

Environment

Dubbo version: xxx

Operating System version: xxx

Java version: xxx

Steps to reproduce this issue

the following unit test has been failed in windows OS

org.apache.dubbo.qos.textui.TKvTest#test1

org.apache.dubbo.qos.textui.TLadderTest#testRendering

org.apache.dubbo.qos.textui.TTableTest#test1

org.apache.dubbo.qos.textui.TTableTest#test2

Pls. provide [GitHub address] to reproduce this issue.

Expected Result

What do you expected from the above steps？

Actual Result

What actually happens?

If there is an exception, please attach the exception trace:

Just put your stack trace here!

Issue 2:
I have searched the issues of this repository and believe that this is not a duplicate.

I have checked the FAQ of this repository and believe that this is not a duplicate.

Environment

Dubbo version: 2.5.2(test)，but there are many different versions inside the company.

<dependency>
<groupId>com.alibaba</groupId>
<artifactId>dubbo</artifactId>
<version>2.5.2</version>
<exclusions>
<exclusion>
<artifactId>javassist</artifactId>
<groupId>org.javassist</groupId>
</exclusion>
</exclusions>
</dependency>

Operating System version: uname -a

Darwin tes.local 17.7.0 Darwin Kernel Version 17.7.0: Thu Jun 21 22:53:14 PDT 2018; root:xnu-4570.71.2~1/RELEASE_X86_64 x86_64

Java version: java -version ，but there are many different versions（1.6，1.7） inside the company.

java version "1.8.0_161"
Java(TM) SE Runtime Environment (build 1.8.0_161-b12)
Java HotSpot(TM) 64-Bit Server VM (build 25.161-b12, mixed mode)

Reason

The low version of dubbo does not provide elegant closure of the dubbo service network, so we are compatible with reflection, but now we don't know the number of consumers.

i can get provider bu using reflect,but can't get consumer. Thanks in advance. please

forgive my lame English
Issue 1:
I encountered a missing attribute bug while using matplotlib 1.5.3 on linux. New to the community so apologies if this isn't the right way to raise the issue, I did read the [coding guidelines] (http://matplotlib.org/devel/coding_guide.html) but it was still unclear for small bugfixes what the procedure is.

I found I was getting a missing _facecolor2d attribute error in the Patch3D class in mplot3d/art3d.py. It seems like the attribute just wasn't being set so I added it (diff below) and it resolved the problem.

There is a FIXME comment related to facecolor2d just below this point in the code, so someone may have had another fix in mind.

diff --git a/lib/mpl_toolkits/mplot3d/art3d.py b/lib/mpl_toolkits/mplot3d/art3d.py
index 4ecfb32..73daa6e 100644
--- a/lib/mpl_toolkits/mplot3d/art3d.py
+++ b/lib/mpl_toolkits/mplot3d/art3d.py
@@ -266,6 +266,7 @@ class Patch3D(Patch):
self._segment3d = [juggle_axes(x, y, z, zdir) \
for ((x, y), z) in zip(verts, zs)]
self._facecolor3d = Patch.get_facecolor(self)
+ self._facecolor2d = self._facecolor3d

def get_path(self):
return self._path2d

Issue 2:
The following minimal example demonstrates the issue:

import numpy as np
import matplotlib.tri as mtri
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

y,x = np.ogrid[1:10:100j, 1:10:100j]
z2 = np.cos(x)**3 - np.sin(y)**2
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
r = ax.plot_surface(x,y,z2, cmap='hot')
r.get_facecolors()

It fails on the last line with the following traceback:

AttributeError Traceback (most recent call last)
<ipython-input-13-de0f41d662cd> in <module>()
----> 1 r.get_facecolors()

/home/oliver/.virtualenvs/mpl/local/lib/python2.7/site-packages/mpl_toolkits/mplot3d/art3d.pyc in get_facecolors(self)
634
635 def get_facecolors(self):
--> 636 return self._facecolors2d
637 get_facecolor = get_facecolors
638

AttributeError: 'Poly3DCollection' object has no attribute '_facecolors2d'

Tested with mpl versions 1.3.1 and 1.4.2.

Sent here by Benjamin, from the mpl users mailing list (mail with the same title). Sorry for dumping this without more assistance, I'm not yet at a python level where I can help in debugging, I think (well, it seems daunting).
Issue 1:
Issue Type: Bug Report

Ansible Version: ansible 1.7.2

Environment: Arch Linux

Summary: Variable content gets newlines duplicated when pasted into a file via the copy module

Steps To Reproduce:

Add a step copy: content="{{ ssl_private_key }}" dest=/etc/ssl/private/foo.pem in a playbook

Write the content of ssl_private_key in an ansible-vault vars file

Run the playbook

Check if /etc/ssl/private/foo.pem will have an extra newline for each line in the ssl_private_key variable

Expected Results: if the variable ssl_private_key is defined like this:

ssl_private_key: |
-----BEGIN PRIVATE KEY-----
MIIEvwIBADANBgkqhkiG9w0BAQEFAASCBKkwggSlAgEAAoIBAQDHI2RnhLTBOuZ0
MQswCQYDVQQGEwJVUzEQMA4GA1UEChMHU1NMLmNvbTEcMBoGA1UEAxMTU1NMLmNv
ZW50aWFsU1NMIFdpbGRjYXJkMRQwEgYDVQQDFAsqLnJlbGF5ci5pbzCCASIwDQYJ
-----END PRIVATE KEY-----

I expect to have this in /etc/ssl/private/foo.pem:

-----BEGIN PRIVATE KEY-----
MIIEvwIBADANBgkqhkiG9w0BAQEFAASCBKkwggSlAgEAAoIBAQDHI2RnhLTBOuZ0
MQswCQYDVQQGEwJVUzEQMA4GA1UEChMHU1NMLmNvbTEcMBoGA1UEAxMTU1NMLmNv
ZW50aWFsU1NMIFdpbGRjYXJkMRQwEgYDVQQDFAsqLnJlbGF5ci5pbzCCASIwDQYJ
-----END PRIVATE KEY-----

And this is what I actually get with Ansible 1.7.1 and some previous versions.

Actual Results: But instead, with Ansible 1.7.2 the result will have duplicated \n:

-----BEGIN PRIVATE KEY-----

MIIEvwIBADANBgkqhkiG9w0BAQEFAASCBKkwggSlAgEAAoIBAQDHI2RnhLTBOuZ0

MQswCQYDVQQGEwJVUzEQMA4GA1UEChMHU1NMLmNvbTEcMBoGA1UEAxMTU1NMLmNv

ZW50aWFsU1NMIFdpbGRjYXJkMRQwEgYDVQQDFAsqLnJlbGF5ci5pbzCCASIwDQYJ

-----END PRIVATE KEY-----

Issue 2:
From @morganchristiansson on 2016-03-03T18:16:26Z

Issue Type:

Documentation Report

Component Name:

ec2

Ansible Version:

N/A

Summary:

Current documentation for wait parameter says:

wait for the instance to be 'running' before returning.

Source: https://github.com/ansible/ansible-modules-core/blob/devel/cloud/amazon/ec2.py#L105

The actual code supports waiting for any state. https://github.com/ansible/ansible-modules-core/blob/devel/cloud/amazon/ec2.py#L1308

The actual check is on line 1315

if i.state == state:

Steps To Reproduce:

Use documentation as reference when trying to stop an instance and wait for it to stop.

Expected Results:

Documentation correctly states that it will wait for instance to be in running or stopped state.

Actual Results:

Documentation states and implies that waiting for stopped state is not supported. Reproduced independently by 2 developers in my team, myself included.

Copied from original issue: ansible/ansible-modules-core#3181