concepts | Formal Concept Analysis with Python

 by   xflr6 Python Version: 0.9.2 License: MIT

kandi X-RAY | concepts Summary

kandi X-RAY | concepts Summary

concepts is a Python library. concepts has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install concepts' or download it from GitHub, PyPI.

Formal Concept Analysis with Python
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              concepts has a low active ecosystem.
              It has 83 star(s) with 21 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 7 have been closed. On average issues are closed in 7 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of concepts is 0.9.2

            kandi-Quality Quality

              concepts has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              concepts 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

              concepts 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.
              It has 7809 lines of code, 356 functions and 44 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed concepts and discovered the below as its top functions. This is intended to give you an instant insight into concepts implemented functionality, and help decide if they suit your requirements.
            • Take the set of objects
            • Return a subset of items in the set
            • Return True if any of the items in the sequence are present
            • Initialize an iterable
            • Dump a file to a file
            • Return the maximum length of an iterable
            • Write rows to a csv file
            • Construct a junctors
            • Returns a list of booleans
            • Move a property
            • Parse attributes section
            • Render graphviz
            • Generator of the FCBO
            • Minimum members of the intent
            • Load a context from a file
            • Load a context from a CSV file
            • Dump objects to a csv file
            • Load a cxt file
            • Load a context from a JSON file
            • Rename an object
            • Set a property
            • Set an object
            • Annotate the given mapping
            • Returns a list of empty properties
            • Construct a context from a source string
            • Renames a property
            Get all kandi verified functions for this library.

            concepts Key Features

            No Key Features are available at this moment for concepts.

            concepts Examples and Code Snippets

            How to remove/exclude unwanted objects from a list in python
            Pythondot img1Lines of Code : 10dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def get_self_IP():
              addresses = []
              for ifaceName in interfaces():
                  ifaddresses_list = ifaddresses(ifaceName)
                  possibilities = [i['addr'] for i in ifaddresses_list.setdefault(AF_INET, [{'addr': 'No IP addr'}])]
                  for i in p
            How to Split a Dictionary Value into 2 Separate Key Values
            Pythondot img2Lines of Code : 11dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            titles = [item.split('(')[0].strip() for item in disney_data['title']]
            
            years = [item.split('(')[1].split(')')[0].strip() for item in disney_data['title']]
            
            new_disney_data = {
                'title': titles,
                'year': years
            }
            
            print(new_disney_dat
            why is it that my object has no attribute?
            Pythondot img3Lines of Code : 99dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import random
            
            
            class rolling(object):
            
                def roll(self):
                    return random.randint(1, 6)
            
            
            class Player(object):
                PlayerList = []
                SquareNum = []
                other = []
            
                def __init__(self, name):
                    self.name = name
                    s
            How does ctypes.c_int differs from ctypes.py_object?
            Pythondot img4Lines of Code : 15dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from ctypes import c_int, py_object
            
            # Array of (three) integers initialized such that
            # a[0] = 1, a[1] = 2, a[2] = 3. 
            a = (c_int * 3)(1, 2, 3) 
            
            # Array of (three) arbitrary Python objects initialized
            # such that a[0] = "Pizza", a[1] = 5
            Return a list from a for loop python
            Pythondot img5Lines of Code : 30dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            for YearItem in years:
                    for item in months:
                        # variable 'vars1' is assigned a new tuple in every iteration.
                        # 1. iteration: vars1 = ('01 JAN 2020')
                        # 2. iteration: vars1 = ('01 FEB 2020')
                     
            Solve non linear equations with scipy NonlinearConstraint over pandas dataframe
            Pythondot img6Lines of Code : 25dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from scipy.optimize import minimize
            
            def func(zz, *params):
                x,y,z = zz
                a,b,c = params
                
                eq_1 = (((3.47-np.log10(y))**2+(np.log10(c)+1.22)**2)**0.5) - x
                eq_2 = ((a/101.32) * (101.32/b)** z) - y
                eq_3 = (0.381 * x + 0.0
            FastAPI runs api-calls in serial instead of parallel fashion
            Pythondot img7Lines of Code : 45dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            @app.get("/ping")
            def ping(request: Request):
                #print(request.client)
                print("Hello")
                time.sleep(5)
                print("bye")
                return "pong"
            
            import asyncio
             
            @app.get("/ping")
            async def ping(request: Request):
            
            How to correctly extract substring from a string in a Pandas data frame?
            Pythondot img8Lines of Code : 11dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            concepts = fr"({'|'.join(tofind)})"
            df['Indexes'] = df['Abstract'].str.findall(concepts).str.join(', ')
            print(df)
            
            # Output
                          Abstract       Indexes
            0  black and small cat  black, small
            
            tofind = ['small
            Selenium/python click to open multiple rows
            Pythondot img9Lines of Code : 7dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            WebDriverWait(driver, 60).until(EC.visibility_of_element_located((By.XPATH, '//tr[@class = "course-row normal faculty-BU active"]')))
            time.sleep(0.4) #short delay added to make ALL the elements loaded
            elements = driver.find_element(By.XPAT
            Pandas slice text to new column with start stop location denoted by regular expression
            Pythondot img10Lines of Code : 8dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df['Track3'] = df.apply(lambda x: x["MENU_HINT"][x["MENU_HINT"].find('/ ') + 1:x['EndPos']], axis=1)
            
            df['Track3'] = df["MENU_HINT"].apply(lambda x:re.search(r"[A-Za-z]+ / ([A-Za-z | ( | )]+)", x).group(1))
            <

            Community Discussions

            QUESTION

            Is there a concept in the standard library that tests for usability in ranged for loops
            Asked 2022-Apr-14 at 09:51

            There are a number of different ways, that make a type/class usable in a ranged for loop. An overview is for example given on cppreference:

            range-expression is evaluated to determine the sequence or range to iterate. Each element of the sequence, in turn, is dereferenced and is used to initialize the variable with the type and name given in range-declaration.

            begin_expr and end_expr are defined as follows:

            • If range-expression is an expression of array type, then begin_expr is __range and end_expr is (__range + __bound), where __bound is the number of elements in the array (if the array has unknown size or is of an incomplete type, the program is ill-formed)
            • If range-expression is an expression of a class type C that has both a member named begin and a member named end (regardless of the type or accessibility of such member), then begin_expr is __range.begin() and end_expr is __range.end()
            • Otherwise, begin_expr is begin(__range) and end_expr is end(__range), which are found via argument-dependent lookup (non-ADL lookup is not performed).

            If I want to use a ranged for loop say in a function template, I want to constrain the type to be usable in a ranged for loop, to trigger a compiler error with a nice "constraint not satisfied" message. Consider the following example:

            ...

            ANSWER

            Answered 2022-Apr-14 at 09:51

            It seems like what you need is std::ranges::range which requires the expressions ranges::begin(t) and ranges::end(t) to be well-formed.

            Where ranges::begin is defined in [range.access.begin]:

            The name ranges​::​begin denotes a customization point object. Given a subexpression E with type T, let t be an lvalue that denotes the reified object for E. Then:

            • If E is an rvalue and enable_­borrowed_­range> is false, ranges​::​begin(E) is ill-formed.

            • Otherwise, if T is an array type and remove_­all_­extents_­t is an incomplete type, ranges​::​begin(E) is ill-formed with no diagnostic required.

            • Otherwise, if T is an array type, ranges​::​begin(E) is expression-equivalent to t + 0.

            • Otherwise, if auto(t.begin()) is a valid expression whose type models input_­or_­output_­iterator, ranges​::​begin(E) is expression-equivalent to auto(t.begin()).

            • Otherwise, if T is a class or enumeration type and auto(begin(t)) is a valid expression whose type models input_­or_­output_­iterator with overload resolution performed in a context in which unqualified lookup for begin finds only the declarations

            Source https://stackoverflow.com/questions/71868477

            QUESTION

            Why does Rust allow you to call `Iterator::for_each()` on a trait object?
            Asked 2022-Apr-11 at 11:48

            I was playing around with some API concepts and noticed something peculiar in Rust's Iterator trait.

            I have the following trait definition:

            ...

            ANSWER

            Answered 2022-Apr-11 at 00:51

            A similar question was asked over on the Rust forum. To summarize, the full signature for Iterator::for_each is

            Source https://stackoverflow.com/questions/71821637

            QUESTION

            Ambiguous overload error when using conversion function
            Asked 2022-Jan-25 at 17:22

            I am trying to understand overloading resolution in C++ through the books listed here. One such example that i wrote to clear my concepts whose output i am unable to understand is given below.

            ...

            ANSWER

            Answered 2022-Jan-25 at 17:19

            Essentially, skipping over some stuff not relevant in this case, overload resolution is done to choose the user-defined conversion function to initialize the variable and (because there are no other differences between the conversion operators) the best viable one is chosen based on the rank of the standard conversion sequence required to convert the return value of to the variable's type.

            The conversion int -> double is a floating-integral conversion, which has rank conversion.

            The conversion float -> double is a floating-point promotion, which has rank promotion.

            The rank promotion is better than the rank conversion, and so overload resolution will choose operator float as the best viable overload.

            The conversion int -> long double is also a floating-integral conversion.

            The conversion float -> long double is not a floating-point promotion (which only applies for conversion float -> double). It is instead a floating-point conversion which has rank conversion.

            Both sequences now have the same standard conversion sequence rank and also none of the tie-breakers (which I won't go through) applies, so overload resolution is ambigious.

            The conversion int -> bool is a boolean conversion which has rank conversion.

            The conversion float -> bool is also a boolean conversion.

            Therefore the same situation as above arises.

            See https://en.cppreference.com/w/cpp/language/overload_resolution#Ranking_of_implicit_conversion_sequences and https://en.cppreference.com/w/cpp/language/implicit_conversion for a full list of the conversion categories and ranks.

            Although it might seem that a conversion between floating-point types should be considered "better" than a conversion from integral to floating-point type, this is generally not the case.

            Source https://stackoverflow.com/questions/70852103

            QUESTION

            Why can't we specialize concepts?
            Asked 2022-Jan-25 at 00:51

            The syntax that works for classes does not work for concepts:

            ...

            ANSWER

            Answered 2022-Jan-24 at 04:06

            Because it would ruin constraint normalization and subsumption rules.

            As it stands now, every concept has exactly and only one definition. As such, the relationships between concepts are known and fixed. Consider the following:

            Source https://stackoverflow.com/questions/70828764

            QUESTION

            Kubernetes: what's the difference between Deployment and Replica set?
            Asked 2022-Jan-09 at 17:34

            Both replica set and deployment have the attribute replica: 3, what's the difference between deployment and replica set? Does deployment work via replica set under the hood?

            configuration of deployment

            ...

            ANSWER

            Answered 2021-Oct-05 at 09:41

            A deployment is a higher abstraction that manages one or more replicasets to provide controlled rollout of a new version.

            As long as you don't have a rollout in progress a deployment will result in a single replicaset with the replication factor managed by the deployment.

            Source https://stackoverflow.com/questions/69448131

            QUESTION

            understanding c++ move_constructible concept implementation
            Asked 2021-Nov-22 at 07:23

            I've got the following implementation of the c++ concept move_constructible from cppreference

            ...

            ANSWER

            Answered 2021-Nov-22 at 07:21

            Most traits/concepts automatically add && to the types of "source" arguments (things that are passed to functions, as in std::is_invocable, or constructed from, as in std::is_constructible).

            I.e. constructible_from is equivalent to constructible_from (&& is automatically added to the second argument, but not to the first), and convertible_to is equivalent to convertible_to.

            Note that if a type already includes &, adding && to it has no effect. So, while T and T && are equivalent here, T & is not.

            This can be inferred from those traits/concepts being defined in terms of std::declval(), which returns T &&.

            For the reason why std::declval() returns T &, see reference collapsing.

            Source https://stackoverflow.com/questions/70060959

            QUESTION

            What is the relation between syntax sugar, laziness and list elements accessed by index in Haskell?
            Asked 2021-Aug-30 at 04:46

            Haskell lists are constructed by a sequence of calls to cons, after desugaring syntax:

            ...

            ANSWER

            Answered 2021-Aug-30 at 04:46

            Lists in Haskell are special in syntax, but not fundamentally.

            Fundamentally, Haskell list is defined like this:

            Source https://stackoverflow.com/questions/68978811

            QUESTION

            Is there a way to avoid storage overhead when using a function as a callback?
            Asked 2021-Aug-25 at 20:17

            Given the following setup:

            ...

            ANSWER

            Answered 2021-Aug-25 at 20:17

            There are no objects of function types. The type will be adjusted to be a function pointer, which is why you delegated{func} and delegated{func_ptr} are exactly the same thing and former cannot be smaller.

            Wrap the function call inside a function object (lambda, if you so prefer) to avoid the overhead of the function pointer.

            If you would like to prevent the accidental use of the adjusted/decayed function pointer case when user tries to pass a function, then you could use a deleted overload for function references. I don't know how that could be achieved with CTAD, but if you provide a function interface, it could be done like this:

            Source https://stackoverflow.com/questions/68926707

            QUESTION

            Why can the type constraint `std::convertible_to` be used with only one template argument?
            Asked 2021-Aug-23 at 15:55

            I've scrolled and searched through the standard and cppreference for hours to no avail, would really appreciate if someone could explain this occurance for me:

            I am looking at the standard concept std::convertibe_to. Here's a simple example that I do understand

            ...

            ANSWER

            Answered 2021-Aug-23 at 15:55
            void foo( constraint auto x );
            

            Source https://stackoverflow.com/questions/68886164

            QUESTION

            Why is the concept in template template argument not verified?
            Asked 2021-Aug-02 at 19:53

            C++20 allows the program to specify concept for template template argument. For example,

            ...

            ANSWER

            Answered 2021-Aug-02 at 19:53

            A template (actual) argument matches a template (formal) parameter if the latter is at least as specialised as the former.

            template typename T is more specialised than template struct S. Roughly speaking, template accepts a subset of what template accepts (the exact definition of what "at least as specialised" actually means is rather involved, but this is a zeroth approximation).

            This means that the actual argument can be used in all contexts where the formal parameter can be used. That is, for any type K for which T is valid, S is also valid (because S is valid for any K).

            So it is OK to substitute S for T.

            If you do it the other way around:

            Source https://stackoverflow.com/questions/68622369

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

            Vulnerabilities

            No vulnerabilities reported

            Install concepts

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

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install concepts

          • CLONE
          • HTTPS

            https://github.com/xflr6/concepts.git

          • CLI

            gh repo clone xflr6/concepts

          • sshUrl

            git@github.com:xflr6/concepts.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link