`self` should be omitted from the annotation when it is given as a comment, and `__init__()` should be marked as `-&gt; None`. This is all specified explicitly in [PEP-0484](https://www.python.org/dev/peps/pep-0484/).

I&#39;m new to ASP.NET Core and docker.
I&#39;ve created a simple ASP.NET Core 2.0 app and try to use docker with it on Windows. However, I get this error: 

`Your Docker server host is configured for &#39;Linux&#39;, however the docker-compose project targets &#39;Windows&#39;.`

Although it seems to be pretty informative error, I can&#39;t find where to &#39;configure host for Windows&#39;

ASP.NET Core docker build error

Please explain why Python does not have the switch-case feature implemented in it.

Why doesn&#39;t Python have switch-case?

What is the correct type annotation for a `__init__` function in python?

    class MyClass:
        ...

Which of the following would make more sense?

    def __init__(self):
        # type: (None) -&gt; None

    def __init__(self):
        # type: (MyClass) -&gt; MyClass

    def __init__(self):
        # type: (None) -&gt; MyClass

Since we would normally instantiate as `myclass = MyClass()`, but the `__init__` function itself has no return value.

Correct Type annotation for __init__

What is the correct type annotation for a <code>__init__</code> function in python?
<pre><code class="hljs language-kotlin">class MyClass:
 ...
</code></pre>
Which of the following would make more sense?
<pre><code class="hljs language-python">def __init__(self):
 # type: (None) -> None

def __init__(self):
 # type: (MyClass) -> MyClass

def __init__(self):
 # type: (None) -> MyClass
</code></pre>
Since we would normally instantiate as <code>myclass = MyClass()</code>, but the <code>__init__</code> function itself has no return value.

In numpy, `V.shape` gives a tuple of ints of dimensions of V.

In tensorflow `V.get_shape().as_list()` gives a list of integers of the dimensions of V.

In pytorch, `V.size()` gives a size object, but how do I convert it to ints?

PyTorch: How to get the shape of a Tensor as a list of int

I think I&#39;m getting this error because my code calls `asyncio.get_event_loop().run_until_complete(foo())` twice.  Once from `foo()` and second time from function called by `foo()`. My question is then: why should this be a problem? Why should I even care that this loop is running?

----

There was an edit made to this question which, I think, obscured it (some people prefer to follow rules without understanding them, thus an &quot;illegal&quot; word was removed from the title).  Unfortunately, this creates confusion.

I&#39;m not surprised by the fact that the error is raised.  I can trace it back to the `asyncio` source and see that the authors of this library wanted to do it this way, there&#39;s no mystery there.  The puzzling part is in the reason the authors of the library decided it&#39;s illegal to ask from event loop to run some function to completion when the loop is already running.

We can reduce the problem to just two such calls, and through case analysis we will see that these are the three possibilities:

1. Neither of both functions ever terminates.
2. One of the functions eventually terminates.
3. Both functions eventually terminate.

Now, is there any sane behavior which would address all three cases?  To me, it is obvious that there is, or, perhaps are multiple sane behaviors possible here.  For example:

1. Nothing special, the execution of both functions is interleaved, and they keep running forever, just as expected.
2. The loop doesn&#39;t return control to the code following the first instance of `run_until_complete()` until second function completes (thus no code after `run_until_complete()` will be executed.
3. After the last function terminates, the loop returns control to the first code object which invoked `run_until_complete` ignoring all other invocation sites.

Now, I can understand that this behavior may not be something that everyone would want.  But, since this library decided to give programmers control over starting / stopping the event loop, it should also meet the consequences of such decisions.  Making it an error to start the same loop multiple times precludes library code from ever doing this, which reduces the quality and usefulness of libraries utilizing `asyncio` (which is indeed the case with, for example, `aiohttp`).

RuntimeError: This event loop is already running in python

I am using windows 10 command line for a django project using python34 however, I am facing difficulties with SQL. 

I have already installed mysqlclient using `pip install mysqlclient==1.3.5` and located the file to make sure I was not delusional. I then ran `python manage.py migrate` to migrate the tables to the SQL database (I am using phpmyadmin). However when the command returned with...

     File &quot;C:\Users\user\env\lib\site-packages\django\db\backends\mysql\base.py&quot;, line 30, in &lt;module&gt;
        &#39;Did you install mysqlclient or MySQL-python?&#39; % e
    django.core.exceptions.ImproperlyConfigured: Error loading MySQLdb module: No module named &#39;MySQLdb&#39;.
    Did you install mysqlclient or MySQL-python?

I am aware that questions like these already exist, but not one solution seems to have made any impact on attempts. Thank you in advance.

Error loading MySQLdb Module &#39;Did you install mysqlclient or MySQL-python?&#39;

    i=np.arange(1,4,dtype=np.int)
    a=np.arange(9).reshape(3,3)
and

    a
    &gt;&gt;&gt;array([[0, 1, 2],
              [3, 4, 5],
              [6, 7, 8]])
    a[:,0:1]
    &gt;&gt;&gt;array([[0],
              [3],
              [6]])
    a[:,0:2]
    &gt;&gt;&gt;array([[0, 1],
              [3, 4],
              [6, 7]])
    a[:,0:3]
    &gt;&gt;&gt;array([[0, 1, 2],
              [3, 4, 5],
              [6, 7, 8]])

Now I want to vectorize the array to print them all together. I try

    a[:,0:i]
or

    a[:,0:i[:,None]]

It gives TypeError: only integer scalar arrays can be converted to a scalar index

numpy array TypeError: only integer scalar arrays can be converted to a scalar index

I want to create a docker image. This is my work directory:
Dockerfile.in   test.json   test.py

And this is my Dockerfile:

    COPY ./test.json /home/test.json
    COPY ./test.py /home/test.py

    RUN python test.py

When i launch this command: 
`docker build -f Dockerfile.in -t 637268723/test:1.0 .`


It gives me this error: 

    `Step 1/5 : COPY ./test.json /home/test.json
     ---&gt; Using cache
     ---&gt; 6774cd225d60
     Step 2/5 : COPY ./test.py /home/test.py
     COPY failed: stat /var/lib/docker/tmp/docker-builder428014112/test.py: 
     no such file or directory`



Can anyone help me?

Can&#39;t create a docker image for COPY failed: stat /var/lib/docker/tmp/docker-builder error

Hi: I am trying to use the `Pandas` `DataFrame.to_csv` method to save a `dataframe` to a `csv` file:

    filename = &#39;./dir/name.csv&#39;

    df.to_csv(filename)


However I am getting the error:

    IOError: [Errno 2] No such file or directory: &#39;./dir/name.csv&#39;

Shouldn&#39;t the `to_csv` method be able to create the file if it doesn&#39;t exist? This is what I am intending for it to do.




Pandas DataFrame.to_csv raising IOError: No such file or directory

I am trying to read a `.xlsx` with pandas, but get the follwing error:

    data = pd.read_excel(low_memory=False, io=&quot;DataAnalysis1/temp1.xlsx&quot;).fillna(value=0) 

    Traceback (most recent call last):
      File &quot;/Users/Vineeth/PycharmProjects/DataAnalysis1/try1.py&quot;, line 9, in &lt;module&gt;
        data = pd.read_excel(low_memory=False, io=&quot;DataAnalysis1/temp1.xlsx&quot;).fillna(value=0)
      File &quot;/Users/Vineeth/venv/lib/python2.7/site-packages/pandas/util/_decorators.py&quot;, line 118, in wrapper
        return func(*args, **kwargs)
      File &quot;/Users/Vineeth/venv/lib/python2.7/site-packages/pandas/io/excel.py&quot;, line 230, in read_excel
        io = ExcelFile(io, engine=engine)
      File &quot;/Users/Vineeth/venv/lib/python2.7/site-packages/pandas/io/excel.py&quot;, line 263, in __init__
        raise ImportError(err_msg)
    ImportError: Install xlrd &gt;= 0.9.0 for Excel support

I&#39;ve also tried

    data = pd.read_excel(&quot;DataAnalysis1/temp1.xlsx&quot;, low_memory=False).fillna(value=0)

And I Still get the same error.

Background: I&#39;m trying to extract an excel file with multiple worksheets as a dict of data frames.I installed xlrd version 0.9.0 and the latest version(1.1.0) but I still get the same error. Thanks!





Python: Pandas pd.read_excel giving ImportError: Install xlrd &gt;= 0.9.0 for Excel support

Can I step out of a function after stepping into it with `step` while using pdb / ipdb debugger?

And if there&#39;s no such option - what is the fastest way to get out of the stepped-in function?

PDB - stepping out of a function

I installed the latest version of Python `(3.6.4 64-bit)` and the latest version of `PyCharm (2017.3.3 64-bit)`. Then I installed some modules in PyCharm (Numpy, Pandas, etc), but when I tried installing Tensorflow it didn&#39;t install, and I got the error message: 

&gt;Could not find a version that satisfies the requirement TensorFlow (from versions: )
    No matching distribution found for TensorFlow.

Then I tried installing TensorFlow from the command prompt and I got the same error message.
I did however successfully install tflearn. 

I also installed Python 2.7, but I got the same error message again. I googled the error and tried some of the things which were suggested to other people, but nothing worked (this included installing Flask). 

How can I install Tensorflow? Thanks.

Could not find a version that satisfies the requirement tensorflow

I am trying to get the hard drive size and free space using Python (I am using Python 2.7 with macOS).

I am trying with `os.statvfs(&#39;/&#39;)`, especially with the following code.
Is it correct what I am doing? Which definition of the variable `giga` shall I use?

    import os
    
    def get_machine_storage():
    	result=os.statvfs(&#39;/&#39;)
    	block_size=result.f_frsize
    	total_blocks=result.f_blocks
    	free_blocks=result.f_bfree
    	# giga=1024*1024*1024
    	giga=1000*1000*1000
    	total_size=total_blocks*block_size/giga
    	free_size=free_blocks*block_size/giga
    	print(&#39;total_size = %s&#39; % total_size)
	    print(&#39;free_size = %s&#39; % free_size)
    
    get_machine_storage()

EDIT:
`statvfs` is deprecated in Python 3, do you know any alternative?

Get hard disk size in Python

Is it possible to define an interface which has some information on the format of a string? Take the following example:

    interface timeMarkers{
    	markerTime: string[]		
    };

an example would be:

    {
       markerTime: [&quot;0:00&quot;,&quot;1:30&quot;, &quot;1:48&quot;]                   
    }

My question: Is there a way to define the type for `markerTime` such that that the string value must always match this regex, instead of declaring it as simply `string[]` and going from there? 

`var reg = /[0-9]?[0-9]:[0-9][0-9]/;`


How to define a regex-matched string type in Typescript?

I am trying to write a function which takes a parameter of type boolean and returns one of two types, depending on the value of the input. I have found two approaches:

    function dependsOnParameter&lt;B extends boolean&gt;(x: B): B extends true ? number : string {
        if (x) {
            return 3;
        } else {
            return &quot;string&quot;;
        }
    }

Here, TypeScript says that `Type &#39;3&#39;/&#39;&quot;string&quot;&#39; is not assignable to type &#39;B extends true ? number : string&#39;.`

My other approach looks like this:

    function dependsOnParameter(x: true): number;
    function dependsOnParameter(x: false): string;
    function dependsOnParameter(x: boolean): number | string {
        if (x) {
            return 3;
        } else {
            return &quot;string&quot;;
        }
    }

This compiles; however, if I try to use my function:

    function calling(x: boolean) {
        dependsOnParameter(x);
    }

I get `Argument of type &#39;boolean&#39; is not assignable to parameter of type &#39;false&#39;`.

Is there any way to achieve what I want without using `any`?

Content Type	Original Author	Original Content on Stackoverflow
Question	hangc	View Question on Stackoverflow
Solution 1 - Python	remram	View Answer on Stackoverflow

Correct Type annotation for init

Python Problem Overview

Python Solutions

Solution 1 - Python

Why doesn't Python have switch-case?

ASP.NET Core docker build error

Attributions