deal | Write bug-free code | Code Analyzer library

 by   life4 Python Version: 4.24.4 License: MIT

kandi X-RAY | deal Summary

kandi X-RAY | deal Summary

deal is a Python library typically used in Code Quality, Code Analyzer applications. deal has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However deal build file is not available. You can install using 'pip install deal' or download it from GitHub, PyPI.

Read more in the documentation.
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            kandi-support Support

              deal has a low active ecosystem.
              It has 530 star(s) with 22 fork(s). There are 11 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              deal has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of deal is 4.24.4

            kandi-Quality Quality

              deal has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              deal 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

              deal releases are available to install and integrate.
              Deployable package is available in PyPI.
              deal has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              deal saves you 3184 person hours of effort in developing the same functionality from scratch.
              It has 10149 lines of code, 971 functions and 147 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed deal and discovered the below as its top functions. This is intended to give you an instant insight into deal implemented functionality, and help decide if they suit your requirements.
            • Handle a call
            • Infer the given expression
            • Infer the exceptions from a function
            • Get the name of the expression
            • Pure version of pure
            • Creates a chain of functions
            • Decorator to wrap a function
            • Wrap a function in place
            • Decorator to inherit a function
            • Wrap a class
            • Return a set of the arguments of the function
            • Handle post functions
            • Catch exceptions and return the resulting type
            • Explicit validation
            • Handle a function call
            • Handles Invokes invocations
            • Enable coverage
            • Disable the env
            • Returns the set of dependencies of the validator
            • Perform short validation
            • Validate the contract
            • Main function
            • Preserve function annotation
            • A decorator to ensure that a function is safe
            • Creates an example contract
            • Validate args and kwargs
            Get all kandi verified functions for this library.

            deal Key Features

            No Key Features are available at this moment for deal.

            deal Examples and Code Snippets

            Deal with friends
            pythondot img1Lines of Code : 29dot img1License : Permissive (MIT License)
            copy iconCopy
            async def on_friendship(self, friendship: Friendship) -> None:
                    """when receive a new friendship application, or accept a new friendship
            
                    Args:
                        friendship (Friendship): contains the status and friendship info,
                        
            Request to get a random deal with
            javadot img2Lines of Code : 13dot img2License : Permissive (MIT License)
            copy iconCopy
            @RequestMapping(method = GET, path = "/deals")
                public String deals() {
                    log.info("Client is requesting new deals!");
            
                    List travelDealList = travelDealRepository.findAll();
                    if (!travelDealList.isEmpty()) {
                        int ra  
            Helper function to deal with a total amount .
            javadot img3Lines of Code : 13dot img3no licencesLicense : No License
            copy iconCopy
            public static int makeChangeHelper(int total, int[] denoms, int index) {
            		int coin = denoms[index];
            		if (index == denoms.length - 1) { // One denom left, either you can do it or not
            			int remaining = total % coin; 
            			return remaining == 0 ? 1 : 0  

            Community Discussions

            QUESTION

            Find occurrence count of the longest common Prefix/Suffix in a List of Strings?
            Asked 2022-Mar-22 at 07:13

            Given a list of Strings:

            ...

            ANSWER

            Answered 2022-Mar-22 at 07:13

            This problem should be solved easily using a trie.

            The trie node should basically keep a track of 2 things:

            1. Child nodes
            2. Count of prefixes ending at current node

            Insert all strings in the trie, which will be done in O(string length * number of strings). After that, simply traversing the trie, you can hash the prefixes based on the count as per your use case. For suffixes, you can use the same approach, just start traversing the strings in reverse order.

            Edit:
            On second thought, trie might be the most efficient way, but a simple hashmap implementation should also work here. Here's an example to generate all prefixes with count > 1.

            Source https://stackoverflow.com/questions/71463016

            QUESTION

            Installing scipy and scikit-learn on apple m1
            Asked 2022-Mar-22 at 06:21

            The installation on the m1 chip for the following packages: Numpy 1.21.1, pandas 1.3.0, torch 1.9.0 and a few other ones works fine for me. They also seem to work properly while testing them. However when I try to install scipy or scikit-learn via pip this error appears:

            ERROR: Failed building wheel for numpy

            Failed to build numpy

            ERROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly

            Why should Numpy be build again when I have the latest version from pip already installed?

            Every previous installation was done using python3.9 -m pip install ... on Mac OS 11.3.1 with the apple m1 chip.

            Maybe somebody knows how to deal with this error or if its just a matter of time.

            ...

            ANSWER

            Answered 2021-Aug-02 at 14:33

            Please see this note of scikit-learn about

            Installing on Apple Silicon M1 hardware

            The recently introduced macos/arm64 platform (sometimes also known as macos/aarch64) requires the open source community to upgrade the build configuation and automation to properly support it.

            At the time of writing (January 2021), the only way to get a working installation of scikit-learn on this hardware is to install scikit-learn and its dependencies from the conda-forge distribution, for instance using the miniforge installers:

            https://github.com/conda-forge/miniforge

            The following issue tracks progress on making it possible to install scikit-learn from PyPI with pip:

            https://github.com/scikit-learn/scikit-learn/issues/19137

            Source https://stackoverflow.com/questions/68620927

            QUESTION

            Tab & Navigation Bar changes after upgrading to XCode 13 (& iOS 15)
            Asked 2022-Mar-22 at 05:47

            I have an iOS app, since upgrading to Xcode 13, I have noticed some peculiar changes to Tab and Navigation bars. In Xcode 13, there's now this black area on the tab and nav bars and on launching the app, the tab bar is now black as well as the navigation bar. Weird enough, if the view has a scroll or tableview, if I scroll up, the bottom tab bar regains its white color and if I scroll down, the navigation bar regains its white color.

            N:B: I already forced light theme from iOS 13 and above:

            ...

            ANSWER

            Answered 2021-Sep-22 at 12:40

            first of all the problem is cause by unchecking translucent I fixed it by choosing navigation bar appearance from attributes inspector scroll edge it will fix it see this screen shot please

            Source https://stackoverflow.com/questions/69281380

            QUESTION

            Apollo Client "Named export 'remove' not found"
            Asked 2022-Mar-12 at 09:45

            I'm attempting to create an apollo client plugin for a Nuxt 3 application. It's currently throwing an error regarding a package called ts-invariant:

            ...

            ANSWER

            Answered 2022-Jan-07 at 01:52

            Solved by including @apollo/client and ts-invariant/process into the nuxt build transpile like so:

            Source https://stackoverflow.com/questions/70615613

            QUESTION

            Fast method of getting all the descendants of a parent
            Asked 2022-Feb-25 at 08:17

            With the parent-child relationships data frame as below:

            ...

            ANSWER

            Answered 2022-Feb-25 at 08:17

            We can use ego like below

            Source https://stackoverflow.com/questions/71022350

            QUESTION

            C++ Copy Constructors: must I spell out all member variables in the initializer list?
            Asked 2022-Jan-30 at 04:18

            I have some pretty complicated objects. They contain member variables of other objects. I understand the beauty of copy constructors cascading such that the default copy constructor can often work. But, the situation that may most often break the default copy constructor (the object contains some member variables which are pointers to its other member variables) still applies to a lot of what I've built. Here's an example of one of my objects, its constructor, and the copy constructor I've written:

            ...

            ANSWER

            Answered 2022-Jan-30 at 02:54

            C++ Copy Constructors: must I spell out all member variables in the initializer list?

            Yes, if you write a user defined copy constructor, then you must write an initialiser for every sub object - unless you wish to default initialise them, in which case you don't need any initialiser - or if you can use a default member initialiser.

            the object contains some member variables which are pointers to its other member variables)

            This is a design that should be avoided when possible. Not only does this force you to define custom copy and move assignment operators and constructors, but it is often unnecessarily inefficient.

            But, in case that is necessary for some reason - or custom special member functions are needed for any other reason - you can achieve clean code by combining the normally copying parts into a separate dummy class. That way the the user defined constructor has only one sub object to initialise.

            Like this:

            Source https://stackoverflow.com/questions/70911220

            QUESTION

            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:

            ...

            ANSWER

            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):

            C++:

            Source https://stackoverflow.com/questions/70730831

            QUESTION

            Can NPM show me the age of packages before installing them?
            Asked 2022-Jan-05 at 10:35

            In light of recent malware in existing npm packages, I would like to have a mechanism that lets me do some basic checks before installing new packages or updating existing ones. My main issue are both the packages I install directly, and also the ones I install indirectly.

            In general I want to get a list of package-version that npm would install before installing it. More specifically I want the age of the packages that would be installed, so I can generate a warning if any of them is less than a day old.

            If I could do that directly with npm, that would be neat, but I'm afraid I need to do some scripting around it.

            specific use case:

            If I executed npm install react-native-gesture-handler on 2021-10-22 it would have executed the post-install hook of a malicious version of ua-parser and my computer would have been compromised, which is something I would like to avoid.

            When I enter npm install react-native-gesture-handler --dry-run, it only tells me which version of react-native-gesture-handler it would have installed, but it would not tell me that it would install a version of ua-parser that was released on that day.

            additional notes:

            • I know that npm i --dry-run exists, but it shows only the direct packages.
            • I know that npm list exists, but it only shows packages after installing (and thus after install-hooks have already done their harm)
            • both only show packages version and not their age
            • I do not know how I would get a list of packages that would come with a install-hook before installing them
            • pointers to alternative ways to deal with malicious npm packages are welcome.
            • so far my best solution would be to do "--ignore-scripts" but that would come with it's own set of problems
            ...

            ANSWER

            Answered 2021-Dec-07 at 07:26

            To find out the malicious package, you will need a script that will check your package for vulnerabilities against national vulnerabilities database

            The National Vulnerability Database includes databases of security checklist references, security related software flaws, misconfigurations, product names, and impact metrics.

            Mostly all software companies use application security tools like Veracode, Snyk or Checkmarx that does this usually in a stage before deployment in the CICD pipeline.

            If you're looking to achieve this locally, you can try

            Source https://stackoverflow.com/questions/69975960

            QUESTION

            How to use of laziness in Scheme efficiently?
            Asked 2021-Dec-30 at 10:19

            I am trying to encode a small lambda calculus with algebraic datatypes in Scheme. I want it to use lazy evaluation, for which I tried to use the primitives delay and force. However, this has a large negative impact on the performance of evaluation: the execution time on a small test case goes up by a factor of 20x.

            While I did not expect laziness to speed up this particular test case, I did not expect a huge slowdown either. My question is thus: What is causing this huge overhead with lazy evaluation, and how can I avoid this problem while still getting lazy evaluation? I would already be happy to get within 2x the execution time of the strict version, but faster is of course always better.

            Below are the strict and lazy versions of the test case I used. The test deals with natural numbers in unary notation: it constructs a sequence of 2^24 sucs followed by a zero and then destructs the result again. The lazy version was constructed from the strict version by adding delay and force in appropriate places, and adding let-bindings to avoid forcing an argument more than once. (I also tried a version where zero and suc were strict but other functions were lazy, but this was even slower than the fully lazy version so I omitted it here.)

            I compiled both programs using compile-file in Chez Scheme 9.5 and executed the resulting .so files with petite --program. Execution time (user only) for the strict version was 0.578s, while the lazy version takes 11,891s, which is almost exactly 20x slower.

            Strict version ...

            ANSWER

            Answered 2021-Dec-28 at 16:24

            This sounds very like a problem that crops up in Haskell from time to time. The problem is one of garbage collection.

            There are two ways that this can go. Firstly, the lazy list can be consumed as it is used, so that the amount of memory consumed is limited. Or, secondly, the lazy list can be evaluated in a way that it remains in memory all of the time, with one end of the list pinned in place because it is still being used - the garbage collector objects to this and spends a lot of time trying to deal with this situation.

            Haskell can be as fast as C, but requires the calculation to be strict for this to be possible.

            I don't entirely understand the code, but it appears to be recursively creating a longer and longer list, which is then evaluated. Do you have the tools to measure the amount of memory that the garbage collector is having to deal with, and how much time the garbage collector runs for?

            Source https://stackoverflow.com/questions/70501342

            QUESTION

            Efficient pandas grouby + nunique rolling calculation
            Asked 2021-Dec-26 at 19:21

            I am trying to build a scalable method to calculate the number of unique members that have modified a certain file up to and including the latest modified_date. The unique_member_until_now column contains expected result for each file.

            ...

            ANSWER

            Answered 2021-Dec-26 at 19:01

            You can group by File, and then use is_duplicated (inverted with ~) + cumsum:

            Source https://stackoverflow.com/questions/70489060

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

            Vulnerabilities

            No vulnerabilities reported

            Install deal

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

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            Install
          • PyPI

            pip install deal

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            https://github.com/life4/deal.git

          • CLI

            gh repo clone life4/deal

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            git@github.com:life4/deal.git

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