This warning is just a warning, and has nothing to do with your problems.

[BLAS][1] is a highly optimised library, aiming to get near-perfect performance on all hardware. AWS Lambdas are supposed to run in a more abstract environment than most, and the low-level details of what CPU it&#39;s running on are not available to your code. Therefore OpenBLAS just guesses.

The only impact it would have is slightly reduced performance of certain mathematical operations, if the guess were incorrect.


  [1]: https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms

This is only an issue in Safari and looks like a Safari bug to me. Here is a [**fiddle**](https://jsfiddle.net/0scrgd9j/) with a simplified version of the issue.

When an image is in a nested flexbox element with a width set and `height: auto` it is being stretched... the auto height is not working. Does something extra need to be added for this to work in Safari?

&lt;!-- begin snippet: js hide: false console: true babel: false --&gt;

&lt;!-- language: lang-css --&gt;

    .container {
      display: flex;
      flex-direction: column;
    }

    .container section:first-child {
      display: flex;
      margin-bottom: 25px;
    }

    .container img {
      width: 125px;
      height: auto;
    }

&lt;!-- language: lang-html --&gt;

    &lt;div class=&quot;container&quot;&gt;
      &lt;section&gt;
        &lt;img src=&quot;https://via.placeholder.com/250&quot;&gt;
      &lt;/section&gt;
      &lt;section&gt;
        &lt;img src=&quot;https://via.placeholder.com/150&quot;&gt;
      &lt;/section&gt;
    &lt;/div&gt;

&lt;!-- end snippet --&gt;

I expect the height of the image to automatically be adjusted to maintain aspect ratio. This works in all browsers except Safari. In Safari the image is stretched and the auto height does not work.

Image stretching in flexbox in Safari

I would like to call an async function and get the result for my UseEffect.

The fetch api examples i found on the internet are directly made in the useEffect function.
If my URL changes, i must patch all my fetchs.

When i tried, i got an error message.

This is my code.

```javascript

    async function getData(userId) {
        const data = await axios.get(`http://url/api/data/${userId}`)
            .then(promise =&gt; {
                return promise.data;
            })
            .catch(e =&gt; {
                console.error(e);
            })
            return data;
    }
    

    function blabla() {
        const [data, setData] = useState(null);
    
        useEffect(async () =&gt; {
            setData(getData(1))
        }, []);
    
        return (
            &lt;div&gt;
                this is the {data[&quot;name&quot;]}
            &lt;/div&gt;
        );
    }

```

*index.js:1375 Warning: An effect function must not return anything besides a function, which is used for clean-up.
It looks like you wrote useEffect(async () =&gt; ...) or returned a Promise. Instead, write the async function inside your effect and call it immediately:*

```javascript
useEffect(() =&gt; {
  async function fetchData() {
    // You can await here
    const response = await MyAPI.getData(someId);
    // ...
  }
  fetchData();
}, [someId]); // Or [] if effect doesn&#39;t need props or state
```

How to call an async function inside a UseEffect() in React?

I deployed the `Google Custom Search API` as `AWS lambda function` for my project. It uses the 3GB (full memory provided by `lambda`) and task got terminated.

It throws a warning : 

    &quot;OpenBLAS WARNING - could not determine the L2 cache size on this system, assuming 256k&quot;

I don&#39;t know why its consuming more memory?

AWS Lambda : OpenBLAS WARNING - could not determine the L2 cache size on this system, assuming 256k - While using Google Custom Search API

I deployed the <code>Google Custom Search API</code> as <code>AWS lambda function</code> for my project. It uses the 3GB (full memory provided by <code>lambda</code>) and task got terminated.
It throws a warning :
<pre><code class="hljs language-arduino">"OpenBLAS WARNING - could not determine the L2 cache size on this system, assuming 256k"
</code></pre>
I don't know why its consuming more memory?

**Q:** Is there any way to programmatically prevent [Google Colab][1] from disconnecting on a timeout?

[&lt;img src=&quot;https://i.stack.imgur.com/lkvoo.jpg&quot; height=&quot;420&quot;&gt;][2]

The following describes the conditions causing a notebook to automatically disconnect:

&gt; *Google Colab notebooks have an idle timeout of 90 minutes and absolute timeout of 12 hours. This means, if user does not interact with his Google Colab notebook for more than 90 minutes, its instance is automatically terminated. Also, maximum lifetime of a Colab instance is 12 hours.*

Naturally, we want to automatically squeeze the maximum out of the instance, [without having to manually interact with it constantly][2]. Here I will assume commonly seen system requirements:

 * Ubuntu 18 LTS / Windows 10 / Mac Operating systems
 * In case of Linux-based systems, using popular DEs like Gnome 3 or Unity
 * Firefox or Chromium browsers

I should point out here that such behavior **does not violate** [Google Colab&#39;s Terms of Use][3], although it is not encouraged according to their [FAQ][4] (in short: morally it is not okay to use up all of the GPUs if you don&#39;t really need it). 

------------------------------------

My current solution is very dumb:

* First, I turn the screensaver off, so my sreen is always on.
* I have an Arduino board, so I just turned it into a [rubber ducky usb][5] and make it emulate primitive user interaction while I sleep (just because I have it at hand for other use-cases). 

Are there better ways?


  [1]: https://colab.research.google.com/
  [2]: https://i.stack.imgur.com/lkvoo.jpg
  [3]: https://colab.one/terms-of-use
  [4]: https://research.google.com/colaboratory/faq.html
  [5]: https://www.quora.com/What-is-a-USB-Rubber-Ducky

How to prevent Google Colab from disconnecting?

We are using GCP&#39;s Firebase with Firestore for a new mobile app we are developing. As part of this effort we need to deploy a number of cloud functions which will act as Firestore triggers for doing some back end processing. 

Our intention is to keep the deploys encapsulated inside of Firebase by using the firebase cli tools. However when we attempt to initiate the Firebase project for functions using the &quot;firebase init functions&quot; call the only two language options are &quot;Javascript&quot; and &quot;Typescript&quot;, and the only deployable stack seems to be Node.js. 

On previous GCP projects we had deployed Python based cloud functions (using the gcloud cli) and ideally we&#39;d like to continue using Python for our Firebase cloud functions.  So my questions are:
 
1. is it possible to deploy Python-based Firebase cloud functions? If not:

2. can we simply go back to deploying Python-based GCP cloud functions using the gcloud cli and still have them work as Firestore triggers?

Thanks

Firebase cloud functions using Python?

I am reading through a python script that takes an input of XML files and outputs an XML file. However, I do not understand the printing syntax. Can someone please explain what `f` in `print(f&quot;...&quot;)` does?

    args = parser.parser_args()
    
    print(f&quot;Input directory: {args.input_directory}&quot;)
    print(f&quot;Output directory: {args.output_directory}&quot;)

What is print(f&quot;...&quot;)

The [PyTorch documentation](https://pytorch.org/docs/stable/generated/torch.unsqueeze.html) says:
&gt;Returns a new tensor with a dimension of size one inserted at the specified position. [...]
&gt;
&gt;     &gt;&gt;&gt; x = torch.tensor([1, 2, 3, 4])
&gt;     &gt;&gt;&gt; torch.unsqueeze(x, 0)
&gt;     tensor([[ 1,  2,  3,  4]])
&gt;     &gt;&gt;&gt; torch.unsqueeze(x, 1)
&gt;     tensor([[ 1],
&gt;             [ 2],
&gt;             [ 3],
&gt;             [ 4]])



What does &quot;unsqueeze&quot; do in Pytorch?

I installed TensorFlow 1.10.1 but when I tried to import TensorFlow it said that I need TensorFlow version 1.10.0. Thus, I installed it and now I get the following warnings:

```
&gt;&gt;&gt; import tensorflow
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:516: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint8 = np.dtype([(&quot;qint8&quot;, np.int8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:517: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_quint8 = np.dtype([(&quot;quint8&quot;, np.uint8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:518: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint16 = np.dtype([(&quot;qint16&quot;, np.int16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:519: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_quint16 = np.dtype([(&quot;quint16&quot;, np.uint16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:520: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint32 = np.dtype([(&quot;qint32&quot;, np.int32, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:525: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  np_resource = np.dtype([(&quot;resource&quot;, np.ubyte, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:541: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint8 = np.dtype([(&quot;qint8&quot;, np.int8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:542: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_quint8 = np.dtype([(&quot;quint8&quot;, np.uint8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:543: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint16 = np.dtype([(&quot;qint16&quot;, np.int16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:544: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_quint16 = np.dtype([(&quot;quint16&quot;, np.uint16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:545: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint32 = np.dtype([(&quot;qint32&quot;, np.int32, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:550: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  np_resource = np.dtype([(&quot;resource&quot;, np.ubyte, 1)])

&quot;synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.&quot; problem in TensorFlow

I&#39;m really unsure why this isn&#39;t working. Here is the important part of the code (it&#39;s from a leetcode challenge).
The first line throws the NameError.

```python
def totalFruit(self, tree: List[int]) -&gt; int:
    pass
```

If I try importing `List` first I get an error `No module named &#39;List&#39;`. I&#39;m using Python 3.7.3 from Anaconda.

NameError: name &#39;List&#39; is not defined

After Installing Google Cloud Bigquery Module, if I import the module into python code. I see this warning message. Happening to me in python 3.7.3 Virtualenv.

Tried to reinstall GCP bigquery module
Expectation-in python code if we write&quot; from google.cloud import bigquery &quot;.Should not result in any error or messege.

```python
import os
import sys
import logging
from datetime import datetime
from google.cloud import bigquery
```

```
/home/informatica/.local/lib/python3.7/site-packages/pandas/compat/__init__.py:84: UserWarning: Could not import the lzma module. Your installed Python is incomplete. Attempting to use lzma compression will result in a RuntimeError.
  warnings.warn(msg)
 exit()
```

UserWarning: Could not import the lzma module. Your installed Python is incomplete

- What is `__qualname__` in python and how is it useful?

- Why would I need to use it over `__name__`?

I read the &lt;a href=&quot;https://docs.python.org/3/library/stdtypes.html?highlight=__qualname__#definition.__qualname__&quot;&gt;docs&lt;/a&gt;, but they didn&#39;t help me get a clear understanding on it&#39;s usefulness.

I have read &lt;a href=&quot;https://stackoverflow.com/questions/37568128/get-fully-qualified-name-of-a-python-class-python-3-3&quot;&gt;Get fully qualified name of a Python class (Python 3.3+)&lt;/a&gt;.  
That question asks *&quot;how to get a qualified name&quot;*, which presumes that one knows the meaning of *&quot;qualified name&quot;*. Obviously, the answer to that question is to use the `__qualname__` attribute.

My question asks **what** `__qualname__` is, and **why** should I use it over `__name__`.

What is __qualname__ in python?

If we take `b = [1,2,3]` and if we try doing: `b+=(4,)` 

It returns `b = [1,2,3,4]`, but if we try doing `b = b + (4,)` it doesn&#39;t work.

    b = [1,2,3]
    b+=(4,) # Prints out b = [1,2,3,4]
    b = b + (4,) # Gives an error saying you can&#39;t add tuples and lists

I expected `b+=(4,)` to fail as you can&#39;t add a list and a tuple, but it worked. So I tried `b = b + (4,)` expecting to get the same result, but it didn&#39;t work.

Why does b+=(4,) work and b = b + (4,) doesn&#39;t work when b is a list?

When I deploy using cloudformation ```aws cloudformation deploy --region $region --stack-name ABC```

Got error: 

&gt; An error occurred (ValidationError) when calling the CreateChangeSet
&gt; operation:
&gt; Stack:arn:aws:cloudformation:stack/service/7e1d8c70-d60f-11e9-9728-0a4501e4ce4c
&gt; is in ROLLBACK_COMPLETE state and can not be updated.

Please help me !

ValidationError Stack:arn aws cloudformation stack is in ROLLBACK_COMPLETE state and can not be updated

I am attempting to utilize the AWS CLI along with a `for` loop in bash to iteratively purge multiple SQS message queues.  The bash script works almost as intended, the problem I am having is with the return value each time the AWS CLI sends a request.  When the request is successful, it returns an empty value and opens up an interactive pager in the command line.  I then have to manually type `q` to exit the interactive screen and allow the `for` loop to continue to the next iteration.  This becomes very tedious and time consuming when attempting to purge a large number of queues.

Is there a way to configure AWS CLI to disable this interactive pager from popping up for every return value?  Or a way to pipe the return values into a separate file instead of being displayed?

I have played around with configuring different return value types (text, yaml, JSON) but haven&#39;t had any luck.  Also the `--no-pagination` parameter doesn&#39;t change the behavior.

Here&#39;s an example of the bash script I&#39;m trying to run:
```
for x in 1 2 3; do 
  aws sqs purge-queue --queue-url https://sqs.&lt;aws-region&gt;.amazonaws.com/&lt;id&gt;/&lt;env&gt;-$x-&lt;queueName&gt;.fifo; 
done
```

How to turn off the pager for AWS CLI return value?

I am getting an error when I try and invoke a lambda function from the AWS CLI. I am using version 2 of the CLI.
I understand that I should pass the `--payload` argument as a string containing a JSON object.
 
```bash
aws lambda invoke --function-name testsms  --invocation-type Event --payload &#39;{&quot;key&quot;: &quot;test&quot;}&#39; response.json 
```

I get the following error:

```
Invalid base64: &quot;{&quot;key&quot;: &quot;test&quot;}&quot;
```

I have tried all sorts of variants for the JSON escaping characters etc. I have also tried to use the `file://test.json` option I receive the same error.

Amazon AWS CLI not allowing valid JSON in payload parameter

I am trying to set up docker image of amazon ECR on ```ubuntu18.04``` machine of AWS,using commands provided by ```view push commands``` of ```Amazon Container Services```
[![view push commands of amazon container services][1]][1]

 ,please note i have already set up ```docker``` on my ```ubuntu18.04``` and also output of ```docker -v``` is as below

    ubuntu@ip-172-31-0-143:~$ docker -v
    Docker version 19.03.7, build 7141c199a2


  [1]: https://i.stack.imgur.com/x8w8O.png

When i execute the command provided by amazon container services on aws cli on ubuntu18.04 i get error as
    Error: Cannot perform an interactive login from a non TTY device

The command which i am using is 

    aws ecr get-login-password --region us-west-2 | docker login --username AWS --password-stdin 8233251134332.dkr.ecr.us-east-2.amazonaws.com/gatling-lots

please note i have successfully configured awscli and i can see the
detailed  from ```aws s3 ls```

Here is detailed error log
 
    ubuntu@ip-172-31-0-143:~$ aws ecr get-login-password --region us-   
    east-2 | docker login --username AWS --password-stdin 
    823443336.dkr.ecr.us-west-2.amazonaws.com/gatling-lots
    usage: aws [options] &lt;command&gt; &lt;subcommand&gt; [&lt;subcommand&gt; ...]      
    [parameters]
     To see help text, you can run:

    aws help
    aws &lt;command&gt; help
    aws &lt;command&gt; &lt;subcommand&gt; help
    aws: error: argument operation: Invalid choice, valid choices are:

     batch-check-layer-availability           | batch-delete-image                      
     batch-get-image                          | complete-layer-upload                   
    create-repository                        | delete-lifecycle-policy                 
    delete-repository                        | delete-repository-policy                
     describe-images                          | describe-repositories                   
     get-authorization-token                  | get-download-url-for-layer              
     get-lifecycle-policy                     | get-lifecycle-policy-preview            
     get-repository-policy                    | initiate-layer-upload                   
     list-images                              | put-image                               
     put-lifecycle-policy                     | set-repository-policy                   
     start-lifecycle-policy-preview           | upload-layer-part                       
     get-login                                | help                                    
     Error: Cannot perform an interactive login from a non TTY device

output of

    ubuntu@ip-172-31-0-143:~$ (aws ecr get-login --no-include-email  --region us-east-2)

    docker login -u AWS -p 
    
    MzQxL2c0Yks4RjVxeDg9IiwidmVyc2lvbiI6IjIiLCJ0eXBlIjoiREFUQV9LRVkiLCJleHBpcmF0aW9uIjoxNTgzNjgzNDY5fQ== https://825251119036.dkr.ecr.us- east-2.amazonaws.com

aws ecr saying &quot;Cannot perform an interactive login from a non TTY device&quot; after copied cmd from &quot;Amazon Container Services&quot;

When I am trying to load AWS credentials in my project it gives back an error.

When using credentials in plain text everything works good but when I am trying to use environment variables it&#39;s not working.



Error message. :

    Missing credentials in config, if using AWS_CONFIG_FILE, set AWS_SDK_LOAD_CONFIG=1


Here is my tried code :

    const AWS = require(&#39;aws-sdk&#39;);
    
    
    const SESConfig = {
        apiVersion: &quot;2010-12-01&quot;,
        accessKeyId: process.env.AWS_SECRET_KEY,
        accessSecretKey: process.env.AWS_SECRET_KEY,
        region: &quot;us-east-1&quot;
    }
    AWS.config.update(SESConfig);
    var sns = new AWS.SNS()
    var sns = new AWS.SNS();
    
    function sendSMS(to_number, message, cb) {
    
        sns.publish({
            Message: message,
            Subject: &#39;Admin&#39;,
            PhoneNumber:to_number
        }, cb);
      
      }
      
      // Example
      const PhoneNumberArray = [&#39;any mobile number&#39;]
      PhoneNumberArray.forEach(number =&gt; {
        sendSMS(number, &quot;Lorem Ipsum is simply dummy text of the printing and typesetting industry.&quot;, (err, result)=&gt;{
            console.log(&quot;RESULTS: &quot;,err,result)
          })
      })
     

Missing credentials in config, if using AWS_CONFIG_FILE, set AWS_SDK_LOAD_CONFIG=1

I&#39;m creating a system where I want to generate Google Meet meeting from NodeJS code. Is there API for creating a new meeting in Google Meet ? There is button `Create new meeting ` on https://meet.google.com/ and I want to do something similar using API&lt;br/&gt;
I know that it is possible to create meeting using Google Calendar API but I&#39;m looking for direct API for Google Meet without creating calendar event. 

[EDIT]
It does not solve my problem, but maybe would help someone else. There is also option to generate meeting using https://meet.google.com/lookup/[custom-meeting-name] but you need to have Google Workspace (former GSuite)

Is there direct API for Google Meet?

We have an app with some million users. Over the past week we have gotten around 30 &quot;velocity alerts&quot; from Firebase Crashlytics from older versions of the app with error messages like this:

    Fatal Exception: java.lang.SecurityException
    GoogleCertificatesRslt: not allowed: pkg=com.example.app, sha1=&lt;sha1 redacted&gt;, atk=false, ver=203914019.true (go/gsrlt)
    android.os.Parcel.readException (Parcel.java:1959)
    android.os.Parcel.readException (Parcel.java:1905)
    com.google.android.gms.common.internal.s.r (s.java:37)
    com.google.android.gms.common.internal.W.u (W.java:90)
    com.google.android.gms.common.api.internal.At.q (At.java:17)
    com.google.android.gms.common.api.internal.rt.run (rt.java:5)
    java.util.concurrent.Executors$RunnableAdapter.call (Executors.java:457)
    java.util.concurrent.FutureTask.run (FutureTask.java:266)
    java.util.concurrent.ThreadPoolExecutor.runWorker (ThreadPoolExecutor.java:1162)
    java.util.concurrent.ThreadPoolExecutor$Worker.run (ThreadPoolExecutor.java:636)
    com.google.android.gms.internal.ef.run (ef.java:6)
    java.lang.Thread.run (Thread.java:764)

It isn&#39;t impacting that many users, maybe a few hundreds to a thousand. Normally we wouldn&#39;t really notice that small a problem, but because it seems to happen over and over again for those users we have gotten all those velocity alerts - making it more apparent.

Why is this happening? The stacktraces varies a bit, but it does look like it&#39;s related to Google&#39;s GMS. 

Is there anything we or our users can do to avoid it?

The issue seem to be spread out among Android versions and device vendors.


Content Type	Original Author	Original Content on Stackoverflow
Question	Karthik Subramaniyam	View Question on Stackoverflow
Solution 1 - Python	OrangeDog	View Answer on Stackoverflow

AWS Lambda : OpenBLAS WARNING - could not determine the L2 cache size on this system, assuming 256k - While using Google Custom Search API

Python Problem Overview

Python Solutions

Solution 1 - Python

How to call an async function inside a UseEffect() in React?

Image stretching in flexbox in Safari

Attributions