With zsh, pip install networkx[all] says

zsh: no matches found: networkx[all]

This is easily fixed by quoting the package to be installed, which also works on bash.

pip install 'networkx[all]'

(Also while I'm here, consider putting a link to the source code more prominently in the documentation. I could only find it from the git command in the install section)

steps to reproduce

Write a loop, from 1 to 80000, each time add a random int to the max heap.

In theory it takes very little time(NlogN, N=80000, <1sec ), but the program does take a long time.

I'v also tested the BinaryHeap in https://github.com/SolutionsDesign/Algorithmia, it performs well, so it is probably due to the bad algorithm.

Besides the wiki, are there any plans to compile an API reference documentation?
I'm rather lost with a few things, particularly adding properties to the nodes on WebGL/Canvas. While I am one particular case, I think we could all agree having Documentation to read would be rather beneficial if not plain helpful.

Followed instructions from https://dev.grakn.ai/docs/general/quickstart and immediatly reached these errors :

grakn-core-all-windows-1.7.1>grakn.bat console --keyspace social_network --file ./schema.gql

22:08:17,078 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback-test.xml]
22:08:17,078 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could

I wanted to use pytextrank together with spacy_udpipe to get keywords from texts in other languages (see https://stackoverflow.com/questions/59824405/spacy-udpipe-with-pytextrank-to-extract-keywords-from-non-english-text) but I realized, that udpipe-spacy somehow "overrides" the original spacy's pipeline so the noun_chunks are not generated (btw: the noun_chunks are created in lang/en/syntax_itera

perhaps with a screenshot

There are multiple graph generators that currently do not check their input for validity.

These need to be fixed:

• callaway_traits_game
• establishment_game

The following functions have been verified to check their arguments properly:

forest_fire_game

Please update the lists above as you verify functions or find new ones with problems.

This is marked as

The API docs are all I could find in the way of documentation. Needs examples and/or instructions. There are a few trivial examples in the API docs under Graph, but that's all I could find.

OS: MacOS 10.13.3
I installed the MeTA as instructed on setup guide. When I do the unit test

describe [ranker regression]
libc++abi.dylib: terminating with uncaught exception of type meta::corpus::corpus_exception: corpus configuration file (../data//cranfield/line.toml) not present

It would be handy for all edge operations to have both f(g, e) and f(g, src(e), dst(e)) defined by default on abstract graphs

On page:

https://github.com/YaccConstructor/QuickGraph/wiki/Observer-Concepts

It says:

VertexPredecessorRecorderObserver,
creates a dictionary that links vertices to their parent edge,

and

EdgePredecessorRecorderObserver,
create a dictionary that links vertices to their parent edge,

They are worded essentially the same. Is this intentional?

I think one of them pro

After opening #448, I noticed that even though my code compiled locally, there were compile errors on Travis. Partially this was because I had not seen the warnings during release build (as pip does not show them), partially this is because there are additional warnings enabled on Travis.

Looking at the Travis config, I was able to figure out the respective CMake flags and enable them locally.