Rare | GUI for legendary An Epic Games Launcher open source alternative | Dektop Application library

 by   Dummerle Python Version: 1.10.11 License: GPL-3.0

kandi X-RAY | Rare Summary

kandi X-RAY | Rare Summary

Rare is a Python library typically used in Apps, Dektop Application, Electron applications. Rare has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install Rare' or download it from GitHub, PyPI.

GUI for legendary. An Epic Games Launcher open source alternative
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              Rare has a low active ecosystem.
              It has 452 star(s) with 18 fork(s). There are 9 watchers for this library.
              There were 6 major release(s) in the last 12 months.
              There are 23 open issues and 103 have been closed. On average issues are closed in 39 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Rare is 1.10.11

            kandi-Quality Quality

              Rare has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Rare is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              Rare releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              It has 27216 lines of code, 550 functions and 122 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Rare and discovered the below as its top functions. This is intended to give you an instant insight into Rare implemented functionality, and help decide if they suit your requirements.
            • Update env variables
            • Append a new row
            • Returns the index for the given row
            • Return the number of rows in the model
            • Create shared memory segments
            • Send GET request
            • Logs a message to the logger
            • Setup the UI
            • Translates the UI information
            • Uninstall a game
            • Handle message received from server
            • Runs the game
            • Load settings for game
            • Reimplemented to handle key press events
            • Updates the settings
            • Add item to the discount list
            • Create an instance from the API response
            • Add free games
            • Setup the ui
            • Function to enable move on a directory
            • Emits the game finished
            • Run the game
            • Show uplay games
            • Update the game
            • Set the wishlist
            • Move the game to the destination path
            Get all kandi verified functions for this library.

            Rare Key Features

            No Key Features are available at this moment for Rare.

            Rare Examples and Code Snippets

            🆕 Automatic serialization to FormData
            npmdot img1Lines of Code : 35dot img1no licencesLicense : No License
            copy iconCopy
            import axios from 'axios';
            
            axios.post('https://httpbin.org/post', {x: 1}, {
              headers: {
                'Content-Type': 'multipart/form-data'
              }
            }).then(({data})=> console.log(data));
            
            
            const axios= require('axios');
            var FormData = require('form-data');
            
            a  
            Records a tensorflow graph .
            pythondot img2Lines of Code : 66dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def graph(graph_data):
              """Writes a TensorFlow graph summary.
            
              Write an instance of `tf.Graph` or `tf.compat.v1.GraphDef` as summary only
              in an eager mode. Please prefer to use the trace APIs (`tf.summary.trace_on`,
              `tf.summary.trace_off`, and  
            Matplotlib: getting tick label properties (e.g. font size)?
            Pythondot img3Lines of Code : 8dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            xta = ax.get_xticklabels()
            xtext = xta[0]
            print(xtext.get_font())                 # sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0
            print(xtext.get_fontfamily())           # ['sans-serif']
            print(xtext.get_fon
            How can I raise a sparse triangular matrix stored in a nested dictionary to the 2nd power?
            Pythondot img4Lines of Code : 70dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            class Sparse:
                def __init__(self, n=None, *matrix):
                    self.rare_values = dict()
                    self.n = n
                    for line in matrix:
                        value, *indices = line
                        c,r = sorted(indices)
                        # Personally, here I w
            Why is Python assertEqual telling me I'm missing the second argument in this unittest?
            Pythondot img5Lines of Code : 15dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import unittest
            
            class TestEquals(unittest.TestCase):
                def test_success(self):
                    self.assertEqual("string","string")
            
            if __name__ == '__main__':
                unittest.main()
            
            .
            --------------------------------------
            Warning Message in binary classification model Gaussian Naive Bayes?
            Pythondot img6Lines of Code : 2dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            X_TRAIN, X_IVS, y_TRAIN, y_IVS = train_test_split(x_d, y_d, test_size=0.10, random_state=23, stratify=y_d)
            
            Is there a need for transitivity in Python __eq__?
            Pythondot img7Lines of Code : 11dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            >>> a, b = {1, 5, 6, 8}, {5, 6}
            >>> a >= a, a >= b, b >= a
            (True, True, False)
            
            >>> a, b = "+31 6 12345678", "6 12345678"
            >>> a in b, b in a
            (False, True)
            
            <
            Repeatedly removing the maximum average subarray
            Pythondot img8Lines of Code : 35dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # Lengths of the segments in the upper convex hull
            # of the cumulative sum graph
            def upperSumHullLengths(arr):
                if len(arr) < 2:
                    if len(arr) < 1:
                        return []
                    else:
                        return [1]
                
                hull = [
            Why I can't refer to class variable from nested class?
            Pythondot img9Lines of Code : 7dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            class Student:
                class UnderStudent:
                    teacher = 'Mrs.Jones'
                def f(self):
                    print(self.UnderStudent.teacher)
                    # or print(Student.UnderStudent.teacher)
            
            Monkeypatching a Python class
            Pythondot img10Lines of Code : 12dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            B.stt_m = staticmethod(lambda x: say('stt_m', x))
            B.cls_m = classmethod(lambda x: say('cls_m', x))
            B.obj_m = lambda x: say('obj_m', x)
            
            types.MethodType(function, object_)
            
            function.__get__(o

            Community Discussions

            QUESTION

            R: avoid turning one-row data frames into a vector when using apply functions
            Asked 2022-Mar-17 at 09:53

            I often have the problem that R converts my one column data frames into character vectors, which I solve by using the drop=FALSE option.

            However, there are some instances where I do not know how to put a solution to this kind of behavior in R, and this is one of them.

            I have a data frame like the following:

            ...

            ANSWER

            Answered 2022-Mar-17 at 09:53

            You can solve your problem by using lapply instead of sapply, and then combine the result using do.call as follows

            Source https://stackoverflow.com/questions/71509818

            QUESTION

            pylibdmtx library, try except not working - Assertion `value >= 0 && value < 256'
            Asked 2022-Mar-06 at 15:51

            Question in short:

            We have a specific png image, where searching the datamatrix codes on a given location with the help of pylibdmtx library. At that specified location (given xmin, ymin, xmax, ymax coordinates in the code), we crop the image, rescale and send to the library to decode. but getting assertion error from dmtxdecodescheme.c, and program halts. we wish to neglect the error (return "?????" if possible), but try/except not working, and no way to escape.

            Details:

            This kind of error had never happened before, only on this specific png image, and given specific coordinates & SCALER value. Uploaded the image at: https://easyupload.io/3yioro , because i can't upload to stackoverflow due to size constraints (3.1 Mb is over the 2Mb limit) if i crop or convert image to another extension, error doesn't reproduce. this is really a rare and hard to duplicate error.

            here is the simplified code, where you search only 1 given location:

            ...

            ANSWER

            Answered 2022-Mar-01 at 15:19

            Your code worked as-is for me. I got this output

            Initially I had other problems with libdmtx.(This is an issue with libdmtx I faced and has no issue with your Python code)

            I installed libdmtx using condas in win10. But during runtime I got FileNotFoundError: Could not find module 'libdmtx-64.dll'

            then I built the library from https://github.com/dmtx/libdmtx and got release mode dmtx.dll. renamed this dll to libdmtx-64.dll and placed in `C:\Users\balu\Miniconda3\Library\bin'.

            Note: if QR decoding is your goal, check your old questions I have answered.

            Source https://stackoverflow.com/questions/71117006

            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

            What is best practice (and legal) for product listing image alt text for accessibility?
            Asked 2022-Feb-25 at 20:03

            I'm trying to determine what structure is best with regard to typical e-commerce product listing pages. I have reviewed WCAG and other sources and have not found a definitive solution as of yet. A typical product listing contains an image and a product name, both linked to the product details page. There are several patterns that come to mind...

            Single link with empty alt text

            My thought is that it is best to combine both of these into the same tag and then set alt="" on the image therefor the product name will describe the entire purpose of the link.

            Method 1 ...

            ANSWER

            Answered 2022-Feb-25 at 19:14
            Which method(s) are best for users?

            Method 1 out of the options given is best.

            Which method(s), if any, would NOT satisfy WCAG Level AA and therefor not comply with laws in the US, EU, etc.

            None of them would fail WCAG as such.

            However as you have pointed out 2 and 3 result in duplication of effort for keyboard users and links to the same location having different names, which is not a fail under any success criterion but is highly recommended.

            Would the image in a Product Listing Page be classified as "decorative"?

            Yes in scenario 1 and 4.

            Expansion of the answers given

            All 4 of the examples given would "pass" WCAG. However they offer very different experiences.

            So the question is what things are we considering for accessibility?

            The first is Keyboard operability. Examples 2 and 3, as you pointed out result in duplication of focus stops for the same item. So we should avoid them.

            The second thing is link purpose. Yet again examples 2 and 3 are not great here as we have 2 links to the same place on the same page that have different accessible labels / text that assistive tech will use.

            So we can rule out options 2 and 3 for best practices.

            So what about options 1 and 4?

            Well as the items are located within a hyperlink we want the link text (the accessible name for those links) to be descriptive of the product page we are going to visit.

            As such option one would read: "link: Squeaky Fox Dog Toy" and the second link would read "link: (image) Red fox stuffed dog toy with white braided rope arms, Squeaky Fox Dog Toy"

            The second option results in duplication of information so is not as desirable as the first option.

            So we land on option 1.

            The only consideration you now have is whether that link text describes the product sufficiently. Now if you sold multiple dog toys (different product types) then you need text that describes them as such i.e. "plastic dog toys" and "fluffy dog toys".

            If you sell different coloured products and they all had their own page (so you don't have a colour picker on the end page, they are listed as separate items) then you would need to describe the colour there too. "Red fluffy dog toy", "blue fluffy dog toy".

            Essentially you need to provide enough information that each product link is easily identifiable as to where it leads (the purpose of the link itself).

            This is where judgement comes into play, provide enough information to describe the product generally in a unique way on the page, not so much information that browsing that page becomes problematic due to 100 products with 200 word link text.

            So in the example given the "balance" would be something like "Red fox stuffed dog toy", and then describe the appearance in far more detail on the product page, wither in the description or in the product image alt attributes.

            Option 5 - if you don't have text at all.

            It is worth noting that the last option for a product page is no text at all. Just an image inside a link. The following is also valid HTML and accessible as the alt text will be used as the link text (not if an image contains any text at all that should all appear in the alt attribute).

            Source https://stackoverflow.com/questions/71270354

            QUESTION

            Rare segmentation fault during object creation with new
            Asked 2022-Feb-21 at 01:46

            In a Java application, I use JNI to call several C++ methods. One of the methods creates an object that has to persist after the method finished and that is used in other method calls. To this end, I create a pointer of the object, which I return to Java as a reference for later access (note: the Java class implements Closable and in the close method, I call a method to delete the object).

            However, in rare cases, approximately after 50.000 calls, the C++ code throws a segmentation fault. Based on the content of the log file, only a few lines of code are suspicious to be the source of error (they between the last printed log message and the next one):

            ...

            ANSWER

            Answered 2022-Feb-21 at 01:46

            After removing my std::set from the code, the error did not occur anymore. Conclusion: std::set in multithreading must be protected to avoid unrecoverable crashes.

            Source https://stackoverflow.com/questions/70461138

            QUESTION

            How to decode column value from rare label by matching column names
            Asked 2022-Feb-07 at 14:57

            I have two dataframes like as shown below

            ...

            ANSWER

            Answered 2022-Feb-07 at 14:40
            # list comprehension to find where rare is in the feature col
            tdf['feature'] = [x if y.lower()=='rare' else x+'='+y for x,y in tdf['feature'].str.split('=')]
            # create a mask where feature is in columns of cdf
            mask = tdf['feature'].isin(cdf.columns)
            # use loc to filter your frame and use merge to join cdf on the id and feature column - after you use stack
            tdf.loc[mask, 'feature'] = tdf.loc[mask, 'feature']+'='+tdf.loc[mask].merge(cdf.set_index('Id').stack().to_frame(),
                                                                                        right_index=True, left_on=['Id', 'feature'])[0].astype(str)
            
               Id     feature  value
            0   1     grade=D   0.20
            1   1      dash=Q   0.45
            2   1  dumma=1123  -0.32
            3   1    dumeel=R   0.56
            4   3      dash=P   1.30
            5   3   dumma=849   1.50
            6   3     grade=D   3.70
            

            Source https://stackoverflow.com/questions/71020053

            QUESTION

            `vi{` increases the visual selection, but can I reduce the visual selection in a similar way?
            Asked 2022-Feb-05 at 09:56

            So if I've got text like:

            ...

            ANSWER

            Answered 2022-Feb-04 at 08:07

            Text objects always go outwards so, even if you try something like i{, which covers a smaller region than a{, the selection will inevitably be extended.

            As you mentioned, you can change the geometry of the selection with o and various motions but that's cumbersome and the alternative, leaving visual mode, moving the cursor, and selecting again, is sadly just as cumbersome.

            Building a custom "shrinking" pseudo text object might be possible, though, and something the community would probably gladly welcome.

            --- EDIT ---

            The quick and dirty code below seems to work reasonably well for a{, a(, a[, and a<:

            Source https://stackoverflow.com/questions/70937148

            QUESTION

            Random stealing calls to child initializer
            Asked 2022-Jan-28 at 18:01

            There's a situation involving sub-classing I can't figure out.

            I'm sub-classing Random (the reason is besides the point). Here's a basic example of what I have:

            ...

            ANSWER

            Answered 2022-Jan-23 at 16:40

            I found a way to pass a list into the Random's inheritor and use it in __init__.

            Source https://stackoverflow.com/questions/70823915

            QUESTION

            Stuck while optimizing a segmented prime sieve in C
            Asked 2022-Jan-17 at 00:00

            I'm trying to implement an efficient segmented prime sieve in C. It's basically a sieve of Eratosthenes, but each segment is split to a size that can well fit in cache.

            In my version, there is a bit array of flags in which each bit is a consecutive odd number. Each bit is erased by masking with AND when it is a multiple of a known prime number.

            This single part of code consumes about 90% of runtime. Each dirty bit of code has a reason for it that I explained in comments, but the overall operation is very simple.

            1. Grab a prime number.
            2. Calculate its square and its multiple that is slightly bigger than the number that the starting point of the cache block represents.
            3. Take the bigger one.
            4. Erase the bit, add the base prime number to itself two times, and repeat until the end of the cache block.

            And that's it.

            There is a program called primesieve which can do this operation very fast. It is about 3 times faster than my version. I read its documentation about the algorithm and also its code, and applied whatever is plausible to my code.

            Since there is a known program a lot faster than mine, I will investigate further what they're doing and what I'm not, but before that, I posted this question to get extra help if you can help me find out which part is not running efficiently.

            Saying again, this single routine consumes 90% of runtime, so I'm really focused on making this part run faster.

            This is the old version, I've made some modifications after the post, and that one's below this one. The comments still apply.

            ...

            ANSWER

            Answered 2022-Jan-16 at 20:45

            You might be sieving, but what about counting? And a upper limit, so one can compare? And OMP like primesieve?

            You are stuck because you are not even counting or comparing, only with yourself.

            I made a segmented sieve just with a 30Kb char array. At 2 billion, it takes quite exactly 3 times as long as primesieve, and works with OMP. So all your bit mapping and unrolling is not measurable.

            Source https://stackoverflow.com/questions/70729093

            QUESTION

            "compose_attributes" is apparently called before attributes are composed
            Asked 2022-Jan-16 at 23:56

            This is another attempt to do this thing, essentially create a frozen class:

            ...

            ANSWER

            Answered 2022-Jan-16 at 23:56

            Attribute composition is not the time when attributes are added to the class; rather, it is the time at which:

            • We commits to a particular set of attributes for the class, and communicate this to the underlying runtime (usually MoarVM), which calculates a memory layout for the object
            • we tell each Attribute object to compose itself, which is its trigger to generate accessors, handles-related methods, and so forth

            I'm not clear on what you are intend to achieve, in so far as attributes are externally readonly by default anyway, and so it'd make more sense perhaps to produce an error if somebody defines an rw one on something declared frozen. If you do want to modify attributes, you'd probably have more luck overriding add_attribute and tweaking the way the attribute works at that point (for example, something like method add_attribute($obj, $attr) { callwith($obj, $attr.clone(:!rw, :!has_accessor)) } may achieve what you want).

            Source https://stackoverflow.com/questions/70732774

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

            Vulnerabilities

            No vulnerabilities reported

            Install Rare

            Execute pip install Rare for all users, or pip install Rare --user for the current user only. Linux and Mac: execute rare in your terminal. Windows: execute pythonw -m rare in cmd. It is possible to create a desktop link, or a start menu link. Execute the command above with --desktop-shortcut or --startmenu-shortcut option, alternatively you can create them in the settings. Note: On Linux must be /home/user/.local/bin in PATH and on Windows must be PythonInstallationDirectory\Scripts in PATH. On Mac is the Path /Users/user/Library/Python/3.x/bin.

            Support

            There are several options to contribute. More information is available in CONTRIBUTING.md.
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            Install
          • PyPI

            pip install Rare

          • CLONE
          • HTTPS

            https://github.com/Dummerle/Rare.git

          • CLI

            gh repo clone Dummerle/Rare

          • sshUrl

            git@github.com:Dummerle/Rare.git

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