py | Python development support library | Functional Testing library

 by   pytest-dev Python Version: 1.11.0 License: MIT

kandi X-RAY | py Summary

kandi X-RAY | py Summary

py is a Python library typically used in Testing, Functional Testing applications. py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Python development support library (note: maintenance only)
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            kandi-support Support

              py has a low active ecosystem.
              It has 66 star(s) with 64 fork(s). There are 18 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 6 open issues and 151 have been closed. On average issues are closed in 1340 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of py is 1.11.0

            kandi-Quality Quality

              py has 0 bugs and 0 code smells.

            kandi-Security Security

              py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              py code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              py is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              py releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              py saves you 5906 person hours of effort in developing the same functionality from scratch.
              It has 12366 lines of code, 1433 functions and 79 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed py and discovered the below as its top functions. This is intended to give you an instant insight into py implemented functionality, and help decide if they suit your requirements.
            • Log changes to file
            • Generate command line options
            • Make authentication options
            • Fix locale
            • Create a WCStatus object from a string
            • Import XML elements
            • Create a WCStatus from a string
            • Strip whitespace from this source
            • Evaluate the expression
            • Return True if the result is a boolean expression
            • Visit an attribute
            • Parse a line_iter
            • Calls the given function with the given arguments
            • Duplicate a file
            • Writes a tag
            • Returns a list of LogEntry objects
            • Get source code from the source code
            • Print ANSI escape sequences
            • Visit the function call
            • Copy this file to another location
            • Create a new instance of this instance
            • Ensure that this revision exists
            • Creates a new separable character
            • Call a child function
            • Visit a compare
            • Write a message to the console
            Get all kandi verified functions for this library.

            py Key Features

            No Key Features are available at this moment for py.

            py Examples and Code Snippets

            py - genhtmlcss
            Pythondot img1Lines of Code : 18dot img1License : Permissive (MIT License)
            copy iconCopy
            import py
            html = py.xml.html
            
            class my(html):
                "a custom style"
                class body(html.body):
                    style = html.Style(font_size = "120%")
            
                class h2(html.h2):
                    style = html.Style(background = "grey")
            
                class p(html.p):
                    style =  
            py - genxml
            Pythondot img2Lines of Code : 13dot img2License : Permissive (MIT License)
            copy iconCopy
            
            import py
            class ns(py.xml.Namespace):
                pass
            
            doc = ns.books(
                ns.book(
                    ns.author("May Day"),
                    ns.title("python for java programmers"),),
                ns.book(
                    ns.author("why", class_="somecssclass"),
                    ns.title("Java for Py  
            py - genhtml
            Pythondot img3Lines of Code : 8dot img3License : Permissive (MIT License)
            copy iconCopy
            from py.xml import html
            
            paras = "First Para", "Second para"
            
            doc = html.html(
               html.head(
                    html.meta(name="Content-Type", value="text/html; charset=latin1")),
               html.body(
                    [html.p(p) for p in paras]))
            
            print(unicode(doc).encode('la  

            Community Discussions

            QUESTION

            Google Colab - Google Drive can´t be mounted anymore - Browser Popup (Google Drive for Desktop) instead of Link in the code output for authorization
            Asked 2022-Apr-01 at 09:48

            Since yesterday I have had the problem that I can no longer mount my Google account. Normally, when I run it, I get a link to authorize myself with. Now, when the code is executed, an extra browser window is opened where I should authorize myself. But if I do it over it, it doesn't work. Do you know why it can be that this authorization link is suddenly no longer shown? Any security setting maybe? I've tried several browsers.

            EDIT: With the new authorization popup it works if i mount the google drive from the same google account like colab. But the problem is that my main google drive is on another account than Google Colab. With the link it used to work without any problems earlier...

            EDIT 2: I have now solved it in such a way that I have shared the required folder for my other account and can now access it via my Colab Google Drive account. But I still didn't manage to get the link back.

            After the code execution and authorization with the new popup i get this error message on Google Colab:

            MessageError Traceback (most recent call last) in () 1 #Connect Google Drive 2 from google.colab import drive ----> 3 drive.mount('/gdrive')

            3 frames /usr/local/lib/python3.7/dist-packages/google/colab/_message.py in read_reply_from_input(message_id, timeout_sec) 104 reply.get('colab_msg_id') == message_id): 105 if 'error' in reply: --> 106 raise MessageError(reply['error']) 107 return reply.get('data', None) 108

            MessageError: Error: credential propagation was unsuccessful

            I use this code:

            ...

            ANSWER

            Answered 2021-Nov-07 at 20:45

            This is a problem with Google Colab Pro. I have a Pro account as well as a normal account. My normal account works as intended (with the link) whereas my Pro account has the pop-up window that gives me the same error as OP.

            Source https://stackoverflow.com/questions/69822304

            QUESTION

            Python/Docker ImportError: cannot import name 'json' from itsdangerous
            Asked 2022-Mar-31 at 12:49

            I am trying to get a Flask and Docker application to work but when I try and run it using my docker-compose up command in my Visual Studio terminal, it gives me an ImportError called ImportError: cannot import name 'json' from itsdangerous. I have tried to look for possible solutions to this problem but as of right now there are not many on here or anywhere else. The only two solutions I could find are to change the current installation of MarkupSafe and itsdangerous to a higher version: https://serverfault.com/questions/1094062/from-itsdangerous-import-json-as-json-importerror-cannot-import-name-json-fr and another one on GitHub that tells me to essentially change the MarkUpSafe and itsdangerous installation again https://github.com/aws/aws-sam-cli/issues/3661, I have also tried to make a virtual environment named veganetworkscriptenv to install the packages but that has also failed as well. I am currently using Flask 2.0.0 and Docker 5.0.0 and the error occurs on line eight in vegamain.py.

            Here is the full ImportError that I get when I try and run the program:

            ...

            ANSWER

            Answered 2022-Feb-20 at 12:31

            I was facing the same issue while running docker containers with flask.

            I downgraded Flask to 1.1.4 and markupsafe to 2.0.1 which solved my issue.

            Check this for reference.

            Source https://stackoverflow.com/questions/71189819

            QUESTION

            Can a function and local variable have the same name?
            Asked 2022-Mar-31 at 08:41

            Here's an example of what I mean:

            ...

            ANSWER

            Answered 2021-Dec-16 at 10:38

            foo = 5 creates a local variable inside your function. def foo creates a global variable. That's why they can both have the same name.

            If you refer to foo inside your foo() function, you're referring to the local variable. If you refer to foo outside that function, you're referring to the global variable.

            Since it evidently causes confusion for people trying to follow the code, you probably shouldn't do this.

            Source https://stackoverflow.com/questions/70377512

            QUESTION

            Why is `np.sum(range(N))` very slow?
            Asked 2022-Mar-29 at 14:31

            I saw a video about speed of loops in python, where it was explained that doing sum(range(N)) is much faster than manually looping through range and adding the variables together, since the former runs in C due to built-in functions being used, while in the latter the summation is done in (slow) python. I was curious what happens when adding numpy to the mix. As I expected np.sum(np.arange(N)) is the fastest, but sum(np.arange(N)) and np.sum(range(N)) are even slower than doing the naive for loop.

            Why is this?

            Here's the script I used to test, some comments about the supposed cause of slowing done where I know (taken mostly from the video) and the results I got on my machine (python 3.10.0, numpy 1.21.2):

            updated script:

            ...

            ANSWER

            Answered 2021-Oct-16 at 17:42

            From the cpython source code for sum sum initially seems to attempt a fast path that assumes all inputs are the same type. If that fails it will just iterate:

            Source https://stackoverflow.com/questions/69584027

            QUESTION

            CentOS through a VM - no URLs in mirrorlist
            Asked 2022-Mar-26 at 21:04

            I am trying to run a CentOS 8 server through VirtualBox (6.1.30) (Vagrant), which worked just fine yesterday for me, but today I tried running a sudo yum update. I keep getting this error for some reason:

            ...

            ANSWER

            Answered 2022-Mar-26 at 20:59

            Check out this article: CentOS Linux EOL

            The below commands helped me:

            Source https://stackoverflow.com/questions/70926799

            QUESTION

            cannot import name '_registerMatType' from 'cv2.cv2'
            Asked 2022-Mar-17 at 14:47

            I got below error message when I run model_main_tf2.py on Object Detection API:

            ...

            ANSWER

            Answered 2021-Dec-31 at 03:38

            The same thing occurred to me yesterday when I used Colab. A possible reason may be that the version of opencv-python(4.1.2.30) does not match opencv-python-headless(4.5.5.62). Or the latest version 4.5.5 may have something wrong...

            I uninstalled opencv-python-headless==4.5.5.62 and installed 4.1.2.30 and it fixed.

            Source https://stackoverflow.com/questions/70537488

            QUESTION

            Error while downloading the requirements using pip install (setup command: use_2to3 is invalid.)
            Asked 2022-Mar-05 at 07:13

            version pip 21.2.4 python 3.6

            The command:

            ...

            ANSWER

            Answered 2021-Nov-19 at 13:30

            It looks like setuptools>=58 breaks support for use_2to3:

            setuptools changelog for v58

            So you should update setuptools to setuptools<58 or avoid using packages with use_2to3 in the setup parameters.

            I was having the same problem, pip==19.3.1

            Source https://stackoverflow.com/questions/69100275

            QUESTION

            TypeError: load() missing 1 required positional argument: 'Loader' in Google Colab
            Asked 2022-Mar-04 at 11:01

            I am trying to do a regular import in Google Colab.
            This import worked up until now.
            If I try:

            ...

            ANSWER

            Answered 2021-Oct-15 at 21:11

            Found the problem.
            I was installing pandas_profiling, and this package updated pyyaml to version 6.0 which is not compatible with the current way Google Colab imports packages.
            So just reverting back to pyyaml version 5.4.1 solved the problem.

            For more information check versions of pyyaml here.
            See this issue and formal answers in GitHub

            ##################################################################
            For reverting back to pyyaml version 5.4.1 in your code, add the next line at the end of your packages installations:

            Source https://stackoverflow.com/questions/69564817

            QUESTION

            Repeatedly removing the maximum average subarray
            Asked 2022-Feb-28 at 18:19

            I have an array of positive integers. For example:

            ...

            ANSWER

            Answered 2022-Feb-27 at 22:44

            This problem has a fun O(n) solution.

            If you draw a graph of cumulative sum vs index, then:

            The average value in the subarray between any two indexes is the slope of the line between those points on the graph.

            The first highest-average-prefix will end at the point that makes the highest angle from 0. The next highest-average-prefix must then have a smaller average, and it will end at the point that makes the highest angle from the first ending. Continuing to the end of the array, we find that...

            These segments of highest average are exactly the segments in the upper convex hull of the cumulative sum graph.

            Find these segments using the monotone chain algorithm. Since the points are already sorted, it takes O(n) time.

            Source https://stackoverflow.com/questions/71287550

            QUESTION

            AttributeError: Can't get attribute 'new_block' on
            Asked 2022-Feb-25 at 13:18

            I was using pyspark on AWS EMR (4 r5.xlarge as 4 workers, each has one executor and 4 cores), and I got AttributeError: Can't get attribute 'new_block' on . Below is a snippet of the code that threw this error:

            ...

            ANSWER

            Answered 2021-Aug-26 at 14:53

            I had the same error using pandas 1.3.2 in the server while 1.2 in my client. Downgrading pandas to 1.2 solved the problem.

            Source https://stackoverflow.com/questions/68625748

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install py

            You can download it from GitHub.
            You can use py like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            https://github.com/pytest-dev/py.git

          • CLI

            gh repo clone pytest-dev/py

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            git@github.com:pytest-dev/py.git

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