tsplib95 | Library for working with TSPLIB files | Build Tool library

by rhgrant10 Python Version: 0.7.1 License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tsplib95 Summary

tsplib95 is a Python library typically used in Utilities, Build Tool applications. tsplib95 has no vulnerabilities, it has build file available and it has low support. However tsplib95 has 5 bugs and it has a Non-SPDX License. You can install using 'pip install tsplib95' or download it from GitHub, PyPI.

Library for working with TSPLIB files.

Support

Quality

Security

License

Reuse

Support

tsplib95 has a low active ecosystem.

It has 61 star(s) with 16 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 10 have been closed. On average issues are closed in 31 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tsplib95 is 0.7.1

Quality

tsplib95 has 5 bugs (0 blocker, 0 critical, 5 major, 0 minor) and 19 code smells.

Security

tsplib95 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tsplib95 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tsplib95 has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

tsplib95 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 2269 lines of code, 280 functions and 42 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed tsplib95 and discovered the below as its top functions. This is intended to give you an instant insight into tsplib95 implemented functionality, and help decide if they suit your requirements.

Parse text
Return the pseudo - euclidean distance between start and end points
Render tour
Compute the euclidean distance between start and end points
Return the manhattan distance between start and end points
Return the maximum distance between start and end points
Render the given value
Load unknown from string
Parses the given text
Load unknown file
Load files
Read content from a file - like object
Parse a file
Print summary of table
Generate table data from files
Return a dict representation of the object
Parse a single key - value pair
Load problem
Load problem from text
Render the key value pair
Loads a solution from a string
Load a solution from a file
Return the object as a dictionary
Special flag
Parse the text
Returns the tf Tensor object

Get all kandi verified functions for this library.

tsplib95 Key Features

No Key Features are available at this moment for tsplib95.

tsplib95 Examples and Code Snippets

got an unexpected keyword argument 'with_labels'

Python

Lines of Code : 12

License : Strong Copyleft (CC BY-SA 4.0)

Copy

def draw_graph(graph, only_nodes=False):
    fig, ax = plt.subplots(figsize=(12, 6))

    kwargs = dict(node_size=25, ax=ax)
    if only_nodes:
        func = nx.draw_networkx_nodes
    else:
        func = nx.draw_networkx
        kwargs.

How to get OrderedDict values out of odict_iterator?

Python

Lines of Code : 5

License : Strong Copyleft (CC BY-SA 4.0)

Copy

>>> od = OrderedDict([('a', 1), ('b', 2)])
>>> iterator = iter(od.items())
>>> print(list(iterator))
[('a', 1), ('b', 2)]

Calculating distances in TSPLIB

Python

Lines of Code : 41

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import cmath
import math

cityCoords = {
    1:(11.0036111,42.1025),
    2:(11.1086111,42.3738889)
    }

def spherical_cosines(coordDict):
    R = 6371;  # kilometers
    cities = list(coordDict.keys())
    n = len(cities)
    for i in ra

Community Discussions

Trending Discussions on tsplib95

got an unexpected keyword argument 'with_labels'

QUESTION

got an unexpected keyword argument 'with_labels'

Asked 2021-Jun-19 at 23:33

I'm beginner in python and I'm trying to run a python program, so I have the following code :

...

ANSWER

Answered 2021-Jun-19 at 23:33

That's because the draw_networkx_nodes doesn't have the keyword argument with_labels as the error message says. You can use a dict to store the keyword arguments and update it accordingly:

Source https://stackoverflow.com/questions/68051469

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

Vulnerabilities

No vulnerabilities reported

Install tsplib95

You can install using 'pip install tsplib95' or download it from GitHub, PyPI.
You can use tsplib95 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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