prettyprint | python module to output list | Data Manipulation library

 by   taichino Python Version: 0.1.5 License: No License

kandi X-RAY | prettyprint Summary

kandi X-RAY | prettyprint Summary

prettyprint is a Python library typically used in Utilities, Data Manipulation applications. prettyprint has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install prettyprint' or download it from GitHub, PyPI.

prettyprint is a python module to output list/dict/tuple object prettily.

            kandi-support Support

              prettyprint has a low active ecosystem.
              It has 29 star(s) with 6 fork(s). There are 3 watchers for this library.
              It had no major release in the last 12 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 345 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of prettyprint is 0.1.5

            kandi-Quality Quality

              prettyprint has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              prettyprint does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              prettyprint releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              prettyprint saves you 53 person hours of effort in developing the same functionality from scratch.
              It has 139 lines of code, 10 functions and 5 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed prettyprint and discovered the below as its top functions. This is intended to give you an instant insight into prettyprint implemented functionality, and help decide if they suit your requirements.
            • Convert o to JSON .
            • Pretty - print obj .
            • Pretty print the object .
            Get all kandi verified functions for this library.

            prettyprint Key Features

            No Key Features are available at this moment for prettyprint.

            prettyprint Examples and Code Snippets

            Operator calculations inside a Django template
            Pythondot img1Lines of Code : 2dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            {{|default:'Not title' }}
            Creating a list of lists based on a conditions
            Pythondot img2Lines of Code : 15dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            time_min = 0
            time_max = 23
            start_times = [6,5,10]
            end_times = [18,19,17]
            time_slots_customer = []
            for s, e in zip(start_times, end_times):
                time_slots_customer.append([t for t in range(time_min, time_max+1) if t not in range(s, e+1)])
            python - convert datetime to UTC time
            Pythondot img3Lines of Code : 3dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            utc = dt.isoformat(sep=' ')  # The normal date-time separator is 'T', but that isn't very readable
            print(f"{dt} -> {utc}")
            copy iconCopy
            dct = {'1,1': [1.0, 2.0], '3,1': [5.0, 8.0], '2,2': [3.0, 9.0], '2,1': [3.0, 11.0]}
            output = {}
            for k, v in dct.items():
                output[k[0]] = output.get(k[0], []) + v
            output = {k: [min(v), max(v)] for k, v in output.items()}
            Why doesn't time.sleep work in this function?
            Pythondot img5Lines of Code : 26dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import time
            from tkinter import *
            window = Tk()
            def func(event):
                window.after(3000,lambda:print('hello'))# edited
            button= Button(window,text= "Hello", font= ('Helvetica 20 '),wi
            copy iconCopy
            ClassDict = {k: int(v) for k, v in ClassDict.items()}
            {'CSCI 160': 4, 'CSCI 289': 3, 'EE 201': 4, 'MATH 208': 3}
            Pandas: New column adding values of different columns with strings and numbers
            Pythondot img7Lines of Code : 20dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def played_from_start(entry):
                entry = str(entry)  # Without this, np.nan is a float.
                if entry == 'nan' or entry == '':
                    return 0
                if entry.startswith('Bench'):
                    return 0
                if entry == 'Starting':
                    return 9
            I don't understand how the second bracket works
            Pythondot img8Lines of Code : 8dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            >>> a = ['this string is at index 0', 'this string is at index 1']
            >>> a[True]
            'this string is at index 1'
            >>> a[False]
            'this string is at index 0'
            >>> a[1 + 2 == 3]  # true
            'this string is at index 1'
            How to delete info in the middle of a txt file?
            Pythondot img9Lines of Code : 9dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            with open("Extracts.txt", "r") as f, open("output.txt", "w") as g:
                for line in f:
                    fields = line.split('|')
                    print(*fields[0:2], *fields[-2:], sep='|', end='', file=g)
  | Krist
            numba: No implementation of function Function() found for signature:
            Pythondot img10Lines of Code : 2dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def add(new,original=np.array([[]])):  # Note the `[[]]` instead of `[]`

            Community Discussions


            How do purely functional languages handle index-based algorithms?
            Asked 2022-Apr-05 at 12:51

            I have been trying to learn about functional programming, but I still struggle with thinking like a functional programmer. One such hangup is how one would implement index-heavy operations which rely strongly on loops/order-of-execution.

            For example, consider the following Java code:



            Answered 2022-Mar-07 at 21:17

            This is not an index-heavy operation, in fact you can do this with a one-liner with scanl1 :: (a -> a -> a) -> [a] -> [a]:



            Error while creating new React app ("You are running `create-react-app` 4.0.3, which is behind the latest release (5.0.0)")
            Asked 2022-Apr-04 at 11:58

            I am getting this create React app error again and again even after doing the uninstall part.

            npm uninstall -g create-react-app

            up to date, audited 1 package in 570ms

            found 0 vulnerabilities

            npx create-react-app test-app

            Need to install the following packages: create-react-app Ok to proceed? (y) y

            You are running create-react-app 4.0.3, which is behind the latest release (5.0.0).

            We no longer support global installation of Create React App.

            Please remove any global installs with one of the following commands:

            • npm uninstall -g create-react-app
            • yarn global remove create-react-app

            The latest instructions for creating a new app can be found here:



            Answered 2022-Jan-01 at 22:34

            You will have to clear the npx cache to make it work.

            You can locate the location of the folder where create-react-app is installed using npm ls -g create-react-app.

            Also, to clear the cache, refer to this answer in How can I clear the central cache for `npx`?



            Error message "error:0308010C:digital envelope routines::unsupported"
            Asked 2022-Apr-03 at 10:57

            I created the default IntelliJ IDEA React project and got this:



            Answered 2021-Nov-15 at 00:32

            Failed to construct transformer: Error: error:0308010C:digital envelope routines::unsupported

            The simplest and easiest solution to solve the above error is to downgrade Node.js to v14.18.1. And then just delete folder node_modules and try to rebuild your project and your error must be solved.



            ASP.NET Core 6 how to access Configuration during startup
            Asked 2022-Mar-08 at 11:45

            In earlier versions, we had Startup.cs class and we get configuration object as follows in the Startup file.



            Answered 2021-Oct-26 at 12:26

            WebApplicationBuilder returned by WebApplication.CreateBuilder(args) exposes Configuration and Environment properties:



            Error [ERR_REQUIRE_ESM]: require() of ES Module not supported
            Asked 2022-Feb-03 at 22:08

            I'm trying to make a Discord bot that just says if someone is online on the game.

            However I keep getting this message:

            [ERR_REQUIRE_ESM]: require() of ES Module from not supported. Instead change the require of index.js in... to a dynamic import() which is available in all CommonJS modules.

            This is my code:



            Answered 2021-Sep-07 at 06:38

            node-fetch v3 recently stopped support for the require way of importing it in favor of ES Modules. You'll need to use ESM imports now, like:



            Error [ERR_PACKAGE_PATH_NOT_EXPORTED]: Package subpath './lib/tokenize' is not defined by "exports" in the package.json of a module in node_modules
            Asked 2022-Jan-31 at 17:22

            This is a React web app. When I run



            Answered 2021-Nov-13 at 18:36

            I am also stuck with the same problem because I installed the latest version of Node.js (v17.0.1).

            Just go for node.js v14.18.1 and remove the latest version just use the stable version v14.18.1



            What's the mathematical reason behind Python choosing to round integer division toward negative infinity?
            Asked 2022-Jan-30 at 01:29

            I know Python // rounds towards negative infinity and in C++ / is truncating, rounding towards 0.

            And here's what I know so far:



            Answered 2022-Jan-18 at 21:46

            Although I can't provide a formal definition of why/how the rounding modes were chosen as they were, the citation about compatibility with the % operator, which you have included, does make sense when you consider that % is not quite the same thing in C++ and Python.

            In C++, it is the remainder operator, whereas, in Python, it is the modulus operator – and, when the two operands have different signs, these aren't necessarily the same thing. There are some fine explanations of the difference between these operators in the answers to: What's the difference between “mod” and “remainder”?

            Now, considering this difference, the rounding (truncation) modes for integer division have to be as they are in the two languages, to ensure that the relationship you quoted, (m/n)*n + m%n == m, remains valid.

            Here are two short programs that demonstrate this in action (please forgive my somewhat naïve Python code – I'm a beginner in that language):




            Resource linking fails on lStar
            Asked 2022-Jan-21 at 09:25

            I'm working on a React Native application. My Android builds began to fail in the CI environment (and locally) without any changes.



            Answered 2021-Sep-03 at 11:46

            Go to your package.json file and delete as many dependencies as you can until the project builds successfully. Then start adding back the dependencies one by one to detect which ones have troubles.

            Then you can manually patch those dependencies by acceding them on node_modules/[dependencie]/android/build.gradle and setting androidx.core:core-ktx: or androidx.core:core: to a specific version (1.6.0 in my case).



            Bubble sort slower with -O3 than -O2 with GCC
            Asked 2022-Jan-21 at 02:41

            I made a bubble sort implementation in C, and was testing its performance when I noticed that the -O3 flag made it run even slower than no flags at all! Meanwhile -O2 was making it run a lot faster as expected.

            Without optimisations:



            Answered 2021-Oct-27 at 19:53

            It looks like GCC's naïveté about store-forwarding stalls is hurting its auto-vectorization strategy here. See also Store forwarding by example for some practical benchmarks on Intel with hardware performance counters, and What are the costs of failed store-to-load forwarding on x86? Also Agner Fog's x86 optimization guides.

            (gcc -O3 enables -ftree-vectorize and a few other options not included by -O2, e.g. if-conversion to branchless cmov, which is another way -O3 can hurt with data patterns GCC didn't expect. By comparison, Clang enables auto-vectorization even at -O2, although some of its optimizations are still only on at -O3.)

            It's doing 64-bit loads (and branching to store or not) on pairs of ints. This means, if we swapped the last iteration, this load comes half from that store, half from fresh memory, so we get a store-forwarding stall after every swap. But bubble sort often has long chains of swapping every iteration as an element bubbles far, so this is really bad.

            (Bubble sort is bad in general, especially if implemented naively without keeping the previous iteration's second element around in a register. It can be interesting to analyze the asm details of exactly why it sucks, so it is fair enough for wanting to try.)

            Anyway, this is pretty clearly an anti-optimization you should report on GCC Bugzilla with the "missed-optimization" keyword. Scalar loads are cheap, and store-forwarding stalls are costly. (Can modern x86 implementations store-forward from more than one prior store? no, nor can microarchitectures other than in-order Atom efficiently load when it partially overlaps with one previous store, and partially from data that has to come from the L1d cache.)

            Even better would be to keep buf[x+1] in a register and use it as buf[x] in the next iteration, avoiding a store and load. (Like good hand-written asm bubble sort examples, a few of which exist on Stack Overflow.)

            If it wasn't for the store-forwarding stalls (which AFAIK GCC doesn't know about in its cost model), this strategy might be about break-even. SSE 4.1 for a branchless pmind / pmaxd comparator might be interesting, but that would mean always storing and the C source doesn't do that.

            If this strategy of double-width load had any merit, it would be better implemented with pure integer on a 64-bit machine like x86-64, where you can operate on just the low 32 bits with garbage (or valuable data) in the upper half. E.g.,



            Why does iteration over an inclusive range generate longer assembly in Rust?
            Asked 2022-Jan-15 at 11:19

            These two loops are equivalent in C++ and Rust:



            Answered 2022-Jan-12 at 10:20

            Overflow in the iterator state.

            The C++ version will loop forever when given a large enough input:


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


            No vulnerabilities reported

            Install prettyprint

            You can install using 'pip install prettyprint' or download it from GitHub, PyPI.
            You can use prettyprint 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.


            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 .
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