cmap | sharded map implementation to support fast concurrent access | Map library
kandi X-RAY | cmap Summary
kandi X-RAY | cmap Summary
CMap (concurrent-map) is a sharded map implementation to support fast concurrent access.
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Top functions reviewed by kandi - BETA
- TypeHasher32 returns the hash of v .
- TypeHasher64 returns the type of v .
- NewSize creates a new CMap with default shard count .
- Fnv32 returns the hash of s .
- Fnv64 returns the hash of s .
- Mix64 mixes a 64 - bit value
- Mix32 mixes a 32 - bit value into a hash .
- Iter implements the CMap interface .
- Create a new LMap with the given capacity .
- Create a new LMap .
cmap Key Features
cmap Examples and Code Snippets
➤ go version; go test -tags streamrail -short -bench=. -benchmem -count 5 ./ ./stringcmap/ | benchstat /dev/stdin
go version devel +ff90f4af66 2017-08-19 12:56:24 +0000 linux/amd64
name time/op
# pkg:github.com/OneOfOne/cmap goos:linux
import (
"github.com/OneOfOne/cmap"
)
func main() {
cm := cmap.New() // or cmap.NewString()
// cm := cmap.NewSize(1 << 8) // the size must always be a power of 2
cm.Set("key", "value")
ok := cm.Has("key") == true
if v, ok := cm.Get("key"
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law o
Community Discussions
Trending Discussions on cmap
QUESTION
I am trying to compute the divergence of a vector field:
...ANSWER
Answered 2021-Jun-15 at 15:26Let me 1. explain the reason behind this observation, and 2. how to fix it.
Reason:One needs to be careful about how the data is oriented when computing the divergence (or the gradient in general), since it is important to compute the gradient along the correct axis to obtain a physically valid result.
np.meshgrid can output the mesh in two ways, depending on how you set the index parameter
Index "xy" : Here, for every y value, we sweep the x-values.QUESTION
I want to change all specific values in a 3D Ndarray image file.
I'm working on mapping a colormap to an image file.
For example :
...ANSWER
Answered 2021-Jun-14 at 12:23You can speed up the process by getting rid of the two for
loops. If you used np.where
or np.all
inside the loop, then this is no wonder it took time.
I mostly have the feeling that you don't use numpy
at its best... But whatever... So to remove the for
loops I would advise you to do something like:
QUESTION
I installed the Python package yt
simply through pip install yt
. When I tried to import it, it returns the following error message:
ANSWER
Answered 2021-Jun-14 at 11:04I googled your error and found https://mail.python.org/archives/list/yt-users@python.org/message/5C2ZTKNETGVY24QY2G6ED33CGFUPRQSW/ from a couple of months ago, which leads to https://github.com/yt-project/yt/pull/3149.
It looks like the workaround could be to downgrade Matplotlib to a version less than 3.4.0.
QUESTION
In my project, I'd like to make a simple user management program with MongoDB.
So I built a local server using Express of NodeJS and connected it to MongoDB.
After that, a schema called User was declared in Mongoose, and I made and tested a rest api that simply inserts data.
However, as a second attempt, duplicate key error collection occurred when testing with different uid values. (A first attempt was successful)
Can you tell me what's wrong with my design?
...ANSWER
Answered 2021-Jun-13 at 03:51In your userSchema you have defined uid as unique and when you are calling your /test endpoint you are always passing the same uid which is not unique, instead of that use uuid for the uid field.
QUESTION
I want to draw a barbell graph Barbell(10,10)
with edgelist
ANSWER
Answered 2021-Jun-11 at 23:04This should get you started.
QUESTION
For a project, I'm trying to plot on the same figure (using subplots) to "graph". The data have been collected using a database (but for my problem here, I tried to selected only reasonable number of value).
On the left of the figure, I plot the temperature in JFK during 10 consecutive days whereas on the right, I plot a scatter of the temperature in various locations in the US on a specific day.
This is the part where it gets tricky : I'd like to use a colormap
to display the variation of the temperature across the country and even if I've been able to change the color of the colormap
, the dots of the scatter are all with the same color
Here are my variables:
...ANSWER
Answered 2021-Jun-11 at 06:21Thanks to @JohanC, I've been able to fix my issues:
Using scatter1=ax[1].scatter(longitude,latitude,cmap='RdBu',s=20)
and fig.colorbar(scatter1, ax=ax[1], pad=0)
have help ensuring the colorbar
was not overflowing below the graph. This is what I get when I'm inserting these line in my code :
Then, by working on the code by my self, I realized that in order to have the dots in different colors depending on the temperature, I could 'simply' remove the line cmap = plt.cm.RdBu
and, change in the scatter
function (scatter1=
) the value
to temp
: scatter1=ax[1].scatter(longitude,latitude,c=temp,s=20)
QUESTION
I have the following code:
...ANSWER
Answered 2021-Jun-10 at 14:13I did several changes to you code, mainly respecting the shape of the input arrays.
QUESTION
How can I mask the lower triangle while hierarchical clustering with seaborn's clustermap?
...ANSWER
Answered 2021-Jun-09 at 21:34Well, the clustermap
clusters the values according to similarity. This changes the order of the rows and the columns.
You could create a regular clustermap, and in a second step apply the mask:
QUESTION
Having several issues adjusting the colorbar in seaborn.clustermap
. I'm trying to:
- orient the colorbar horizontally
- change the colorbar border color
- change the colorbar tick length
I've checked the documentation for figure.colorbar
to no avail.
Minimal code:
...ANSWER
Answered 2021-Jun-09 at 21:15You can grab the subplot with the colorbar via g.ax_cbar
. Then you can change its position, title, spines and tick lengths:
QUESTION
I've been working on visualizing relations between application genres. It's not exactly a 'network', but I would like to draw a network graph.
There are 32 genres each, and the relation between each genre has indicated like this:
...ANSWER
Answered 2021-Jun-09 at 01:01Here is one solution. Since nodes that are identical strings, they will be assumed to be the same node by networkx. My solution was to just use integers for the nodes and apply node labels in the plot only via a dictionary mapping. I then calculated a custom dictionary of positions.
Also note that I renamed the graph to DG
since this is the naming convention for directed graphs.
Unfortunately, the arrowheads look odd with matplotlib when plotting really thick lines, and according to this SO question I'm not sure that much can be done to fix it except manually adjusting some relevant parameters.
First the output, then the copy-pastable code:
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