py-numa | Python interface to NUMA Linux library

 by   smira Python Version: v1.4.6 License: MIT

kandi X-RAY | py-numa Summary

kandi X-RAY | py-numa Summary

py-numa is a Python library. py-numa 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 py-numa' or download it from GitHub, PyPI.

API docs available at: Support both PyPy runtime (via ctypes) and CPython (via Cython module). PyPy3 is not supported, as ctypes_configure is not Python3 compatible.
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            kandi-support Support

              py-numa has a low active ecosystem.
              It has 21 star(s) with 5 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 5 have been closed. On average issues are closed in 4 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of py-numa is v1.4.6

            kandi-Quality Quality

              py-numa has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              py-numa 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-numa 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 not available. Examples and code snippets are available.
              It has 284 lines of code, 39 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed py-numa and discovered the below as its top functions. This is intended to give you an instant insight into py-numa implemented functionality, and help decide if they suit your requirements.
            • Convert a node into a set of cpus .
            • Get the affinity of a process .
            • Set the affinity of a process .
            • Return the distance between two nodes .
            • Set the run on the node .
            • Returns the free size of a node .
            • Set the memory mask .
            • Setup CConfigure .
            • Set the interleave mask .
            • Get the interleave mask .
            Get all kandi verified functions for this library.

            py-numa Key Features

            No Key Features are available at this moment for py-numa.

            py-numa Examples and Code Snippets

            Check how many times a number appears within another without strings or lists (Python)
            Pythondot img1Lines of Code : 21dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def contarApariciones(numA, numB):
                if numA == 0 == numB:
                    return 1
                count = 0
                mod = 10
                while mod <= numA:
                    mod *= 10
                while numB:
                    if numB % mod == numA:
                        count += 1
                        numB //=
            Why doesn't my function for finding card combinations work for more than 2 cards?
            Pythondot img2Lines of Code : 62dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from itertools import combinations
            
            kinds      = "dhsc"
            faces      = "A23456789TJQK"
            cardValues = {kind+face:min(10,value) for kind in kinds
                          for value,face in enumerate(faces,1)}
            
            def count15s(cards):
                points = 0
                combo
            Phython, my script can run but nothing happens
            Pythondot img3Lines of Code : 3dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            talk("yourtext")
            ray_commands()
            
            How to covert a a 24 hour time to hours and minutes
            Pythondot img4Lines of Code : 22dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            numA = int(input("A starts at: "))
            numB = int(input("B starts at: "))
            
            numA -= numA//100*40    # 1255 --> 775 minutes since midnight
            numB -= numB//100*40    # 1305 --> 785 minutes since midnight
            
            diff = numB - numA
            
            print( diff+diff/
            Finding time difference when a is bigger than b
            Pythondot img5Lines of Code : 12dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            #get numB
            #get numA
            diffMin = abs(numB-numA)
            diffHours = diffMin // 60
            diffMin -= 60*diffHours
            
            #get numB
            #get numA
            diffMin = abs(numB-numA)
            diffHours = diffMin // 60
            diffMin %= 60
            
            Is there a better way than this in python
            Pythondot img6Lines of Code : 3dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            for nums in range(6):
                print('*'*( 5- nums))
            
            Is it possible to parallelize this program (Simpson's Rule) in Python?
            Pythondot img7Lines of Code : 25dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            y = f( np.linspace( a,       # lo-bound
                                b,       # hi-bound
                                N + 1    #   steps
                                )        # no storage of a temporary, yet HUGE object x ~ 8[GB] in RAM
                   )                     
            How to install CUDA 10.1 on linux ubuntu?
            Pythondot img8Lines of Code : 3dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/include
            export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
            
            How to convert Tensor into NumPy array
            Pythondot img9Lines of Code : 4dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            tf.compat.v1.enable_eager_execution()
            
            model.run_eagerly = True
            
            How to pivot dictionaries contained within single pandas dataframe column into separate columns?
            Pythondot img10Lines of Code : 22dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df_final = df.drop('dic',1).join(pd.DataFrame.from_dict(df.dic.to_dict(), 
                                                                    orient='index'))
            
            Out[1082]:
                id1   id2 Feature1 Feature2 Feature3
            0  num1  numa      aa1      bb1      c

            Community Discussions

            No Community Discussions are available at this moment for py-numa.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install py-numa

            You can install using 'pip install py-numa' or download it from GitHub, PyPI.
            You can use py-numa 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 .
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            https://github.com/smira/py-numa.git

          • CLI

            gh repo clone smira/py-numa

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            git@github.com:smira/py-numa.git

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