msgpack-numpy | Serialize numpy arrays using msgpack | Serialization library

by lebedov Python Version: 0.4.8 License: Non-SPDX

X-Ray Key Features Code Snippets(6)Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | msgpack-numpy Summary

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

Serialize numpy arrays using msgpack

Support

Quality

Security

License

Reuse

Support

msgpack-numpy has a low active ecosystem.

It has 152 star(s) with 25 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 36 have been closed. On average issues are closed in 28 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of msgpack-numpy is 0.4.8

Quality

msgpack-numpy has 0 bugs and 0 code smells.

Security

msgpack-numpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

msgpack-numpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

msgpack-numpy 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

msgpack-numpy 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.

Installation instructions are not available. Examples and code snippets are available.

msgpack-numpy saves you 204 person hours of effort in developing the same functionality from scratch.

It has 501 lines of code, 52 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Deserializes a Python object
Unpack a structured dtype
Encode a numpy ndarray

Get all kandi verified functions for this library.

msgpack-numpy Key Features

No Key Features are available at this moment for msgpack-numpy.

msgpack-numpy Examples and Code Snippets

CalledProcessError: Command '['convert', '--version']' returned non-zero exit status 1

Python

Lines of Code : 3

License : Strong Copyleft (CC BY-SA 4.0)

Copy

sudo apt update
sudo apt install ffmpeg ImageMagick

spacy Can't find model 'en_core_web_sm' on windows 10 and Python 3.5.3 :: Anaconda custom (64-bit)

Python

Lines of Code : 5

License : Strong Copyleft (CC BY-SA 4.0)

Copy

python -m spacy download en_core_web_lg
python -m spacy download en_core_web_sm

python -m spacy download en

How is it that torch is not installed by torchvision?

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

# packages in environment at /home/ubuntu/anaconda3/envs/automl:

Docker image fail due to gcc (cytoolz)

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

gcc --version

sudo apt-get install python3.6-dev

pip - Installing specific package version does not work

Python

Lines of Code : 145

License : Strong Copyleft (CC BY-SA 4.0)

Copy

$ johnnydep allennlp --fields name version_latest_in_spec
name                                         version_latest_in_spec
-------------------------------------------  ------------------------
allennlp

steps to install spacy (anaconda) package along with dependencies without internet for python 3.6.5 for prod server?

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

pip install spacy ==2.0.13

Community Discussions

Trending Discussions on msgpack-numpy

CalledProcessError: Command '['convert', '--version']' returned non-zero exit status 1

docker build ERROR: Could not install packages due to an EnvironmentError: [Errno 2]

spacy Can't find model 'en_core_web_sm' on windows 10 and Python 3.5.3 :: Anaconda custom (64-bit)

Why doesn't the rasa nlu recognize that tensorflow is installed?

spacy 2.0.12 / thinc 6.10.3 crashing django on heroku

cannot import name defaultdict error for nltk

Failing installation of tensorpack

QUESTION

CalledProcessError: Command '['convert', '--version']' returned non-zero exit status 1

Asked 2020-Sep-24 at 21:01

Got the DLC-GPU.yaml from here: https://github.com/DeepLabCut/DeepLabCut/blob/master/conda-environments/DLC-GPU.yaml

...

ANSWER

Answered 2020-Sep-24 at 21:01

matplotlib.animation requires ffmpeg for saving movies and ImageMagick for saving animated gifs.

See https://matplotlib.org/users/installing.html#install-requirements

Install them with your system package manager:

Source https://stackoverflow.com/questions/64053840

QUESTION

docker build ERROR: Could not install packages due to an EnvironmentError: [Errno 2]

Asked 2020-Jul-08 at 16:00

I'm getting this error when I run docker build while its processing the requirements file.

...

ANSWER

Answered 2020-Jul-07 at 20:07

The error

Source https://stackoverflow.com/questions/62781585

QUESTION

spacy Can't find model 'en_core_web_sm' on windows 10 and Python 3.5.3 :: Anaconda custom (64-bit)

Asked 2020-May-23 at 11:36

what is difference between spacy.load('en_core_web_sm') and spacy.load('en')? This link explains different model sizes. But i am still not clear how spacy.load('en_core_web_sm') and spacy.load('en') differ

spacy.load('en') runs fine for me. But the spacy.load('en_core_web_sm') throws error

i have installed spacyas below. when i go to jupyter notebook and run command nlp = spacy.load('en_core_web_sm') I get the below error

...

ANSWER

Answered 2019-Jan-28 at 22:45

The answer to your misunderstanding is a Unix concept, softlinks which we could say that in Windows are similar to shortcuts. Let's explain this.

When you spacy download en, spaCy tries to find the best small model that matches your spaCy distribution. The small model that I am talking about defaults to en_core_web_sm which can be found in different variations which correspond to the different spaCy versions (for example spacy, spacy-nightly have en_core_web_sm of different sizes).

When spaCy finds the best model for you, it downloads it and then links the name en to the package it downloaded, e.g. en_core_web_sm. That basically means that whenever you refer to en you will be referring to en_core_web_sm. In other words, en after linking is not a "real" package, is just a name for en_core_web_sm.

However, it doesn't work the other way. You can't refer directly to en_core_web_sm because your system doesn't know you have it installed. When you did spacy download en you basically did a pip install. So pip knows that you have a package named en installed for your python distribution, but knows nothing about the package en_core_web_sm. This package is just replacing package en when you import it, which means that package en is just a softlink to en_core_web_sm.

Of course, you can directly download en_core_web_sm, using the command: python -m spacy download en_core_web_sm, or you can even link the name en to other models as well. For example, you could do python -m spacy download en_core_web_lg and then python -m spacy link en_core_web_lg en. That would make en a name for en_core_web_lg, which is a large spaCy model for the English language.

Hope it is clear now :)

Source https://stackoverflow.com/questions/54334304

QUESTION

Why doesn't the rasa nlu recognize that tensorflow is installed?

Asked 2020-Feb-28 at 10:09

I'm using the rasa nlu with the supervised_embedding pipeline, and I am trying to train my models. On my local machine, I can train without any issues. When I try to train the models on my server, I am getting the following error:

...

ANSWER

Answered 2020-Feb-26 at 14:31

Looks like the reason it wasn't working on the server is because the CPU on it doesn't have the AVX instruction set. I have managed to train it on another server that has the AVX instruction set.

Source https://stackoverflow.com/questions/60400753

QUESTION

spacy 2.0.12 / thinc 6.10.3 crashing django on heroku

Asked 2018-Aug-05 at 00:03

I'm having an issue with v2.0.12 that I've traced into thinc. pip list shows me:

...

ANSWER

Answered 2018-Aug-05 at 00:03

I resolved this issue, but am leaving the answer in case someone else needs it.

The problem was that my thread was taking too long to respond because of how and when I was building and training my sklearn models. As a result, Heroku aborted the thread -- which is why the stack trace shows abort.

The fix was to change how and when I was loading the ML models so this particular operation didn't timeout.

Source https://stackoverflow.com/questions/51686456

QUESTION

cannot import name defaultdict error for nltk

Asked 2018-Jan-22 at 05:02

I successfully installed the Natural Language Toolkit nltk. Then I ran Python in the console and typed "import nltk" and I get the following error. I have no idea why and I can't find anything online. Any suggestions on why this is the case?

This is the error I get:

...

ANSWER

Answered 2018-Jan-22 at 05:02

I can see from the traceback that you have a file called tokenize.py in the current directory. Rename that file and delete the tokenize.pyc, so they're not shadowing the import of the standard library's tokenize.

Source https://stackoverflow.com/questions/48352048

QUESTION

Failing installation of tensorpack

Asked 2017-Apr-03 at 12:04

I'm trying to install tensorpack on Ubuntu 16.04 LTS.

...

ANSWER

Answered 2017-Apr-03 at 12:04

Tensorpack worked for me, but the per-requisite were

Using a Virtual Environment

virtualenv tensorpack
Secondly updating pip

pip install --upgrade pip
Lastly not using "sudo"

pip install tensorpack

Source https://stackoverflow.com/questions/43183392

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

Vulnerabilities

No vulnerabilities reported

Install msgpack-numpy

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