msgpack-python | MessagePack serializer implementation for Python msgpack | Serialization library
kandi X-RAY | msgpack-python Summary
kandi X-RAY | msgpack-python Summary
MessagePack is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. This package provides CPython bindings for reading and writing MessagePack data.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Unpack a binary stream
- Create a new Timestamp instance from bytes
- Feed data into the buffer
- Get the raw data
- Unpack a memoryview from an object
- Read n bytes from the buffer
- Convert to UNIX time
- Convert to Unix time
- Returns a datetime object
- Return True if there are data in buffer
- Unpack binary data
- Reserve n bytes
- Reads an array from the stream
- Read a header
- Pack data
- Profile a function
- Ensure that the source file exists
- Run cythonize
msgpack-python Key Features
msgpack-python Examples and Code Snippets
Lines of Code : 137
License : No License
Copy.
├── README.md
├── configs
│ ├── configure.py
│ ├── dev.json
│ └── main.json
├── input
├── log
│ └── multiprocessinglog.py
├── meter.py
├── ngram
│ └── ngram_creator.py
├── requirements.txt
├── results
├── train.py
├── trained
│ ├── trai import datetime
import msgpack
useful_dict = {
"id": 1,
"created": datetime.datetime.now(),
}
def decode_datetime(obj):
if '__datetime__' in obj:
obj = datetime.datetime.strptime(obj["as_str"], "%Y%m%dT%H:%M:%S.%f")
return o >>> import msgpack
>>> import array
>>> def default(obj):
... if isinstance(obj, array.array) and obj.typecode == 'd':
... return msgpack.ExtType(42, obj.tostring())
... raise TypeError("Unknown type: %r" % python is /opt/anaconda3/bin/python
python is /usr/local/bin/python
python is /usr/bin/python
name: nbdev
channels:
- fastai
- defaults
- conda-forge
dependencies:
- _r-mutex
- _tflow_select
- absl-py
- alabaster
name: nbdev
channels:
- fastai
- defaults
- conda-forge
dependencies:
- p#!/usr/bin/python3
"""
The code below implements a simple ZeroMQ and MessagePack RPC server.
Written by Wojciech M. Zabolotny, wzabise.pw.edu.pl or wzab01gmail.com
13.04.2021
The code is based on a post: "Simple object based R$ pip install alpaca-trade-api
Collecting alpaca-trade-api
Downloading alpaca_trade_api-1.2.1-py3-none-any.whl (39 kB)
Collecting urllib3<2,>1.24
Downloading urllib3-1.26.4-py2.py3-none-any.whl (153 kB)
|███def do_something(partition, big_array):
# some operations involving partition and big_array
array_on_workers = client.scatter(big_array)
dask_dataframe.map_partitions(do_something, array_on_workers)
# Create environment
conda create -n zipline_env python=3.6 ipykernel
# Activate environment, make sure you can see it in jupyter notebooks
conda activate zipline_env
python -m ipykernel install --user --name=zipline_env
# Install ZiplinOAUTH_PROVIDERS = [{
"name": "github",
"icon": "fa-github",
"remote_app": {
"client_id": "" ,
"client_secret": "",
"api_base_url": "https://github.com",
"request_tokenCommunity Discussions
Trending Discussions on msgpack-python
QUESTION
Good day
I am getting an error while importing my environment:
...ANSWER
Answered 2021-Dec-03 at 09:22Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to
QUESTION
I am trying to do a simple read and count of a small parquet file (10K records) using dask-yarn on an AWS EMR cluster with one master and one worker node, both are m5.xlarge instances.
I am trying to execute the following code just to test my cluster:
...ANSWER
Answered 2021-Apr-29 at 12:43Your dask and distributed versions have gone out of sync, 2021.4.0 versus 2021.4.1. Updating dask should fix this. Note that you need to ensure that the exact same versions are also in the environment you are using for YARN.
QUESTION
I have a problem with updating packages in conda. The list of my installed packages is:
...ANSWER
Answered 2021-Apr-14 at 20:26Channel pypi means that the package was installed with pip. You may need to upgrade it with pip as well
QUESTION
All of my virtual environments work fine, except for one in which the jupyter notebook won't connect for kernel. This environment has Zipline in it, so I expect there is some dependency that is a problem there, even though I installed all packages with Conda.
I've read the question and answers here, and unfortunately downgrading tornado to 5.1.1 didn't work nor do I get ValueErrors. I am, however, getting an AssertionError that appears related to the Class NSProcessInfo.
I'm on an M1 Mac. Log from terminal showing the error below, and my environment file is below that. Can someone help me get this kernel working? Thank you!
...ANSWER
Answered 2021-Apr-04 at 18:14Figured it out.
What works:
QUESTION
There is a web page with a large piece of text on it.
I want to configure the state to perform a certain action if curl returns an error.
If the variable doesn't contain 'StatusDescription : OK'
How can I set up a check for a piece of text that is inside a variable
...ANSWER
Answered 2021-Mar-10 at 10:54I want to configure the state to perform a certain action if curl returns an error.
There is a Salt state called http which can query a URL and return the status. Using this (instead of curl) we can check for the status code(s) (200, 201, etc.), as well as matching text. Then we can use requisites to run subsequent states depending on the success/failure of the http.query.
Example:
I have added a check for status code of 200, you can omit - status: 200 if you don't care about the status code.
QUESTION
During the execution of the state, the manager "Chocolate" installs the package RealVNC (Program Files\Real VNC) Next, I create a key in the registry. I want the keys to be created only if the VNC installation was successful. I have tried
...ANSWER
Answered 2021-Feb-02 at 06:08The requisites that we mention, such as require, watch, etc. should be references to other states that are "scheduled" to run on the targets.
About watch
Even though the path is created by installing the "realvnc" package, there is no Salt state to handle the path. That is why it is showing the error.
Quoting from documentation for watch:
A
watchrequisite is used to add additional behavior when there are changes in other states.
So if you want to watch on a file, then there should be a state that "handles" the file using the file module.
About require
Also, while specifying require you are referring to pkg module, so Saltstack would look for pkg.installed for realvnc. Whereas you are using chocolatey.installed.
So with below modifications it should work fine.
QUESTION
Created a new compute instance in Azure ML and trained a model with out any issue. I wanted to draw a pairplot using seaborn but I keep getting the error "ImportError: No module named seaborn"
I ran !conda list and I can see seaborn in the list
ANSWER
Answered 2020-Sep-07 at 04:17I just did the following and wasn't able to reproduce your error:
- make a new compute instance
- open it up using JupyterLab
- open a new terminal
conda activate azureml_py36conda install seaborn -y- open a new notebook and run
import seaborn as sns
- Are you using the kernel,
Python 3.6 - AzureML(i.e. theazureml_py36conda env)? - Have you tried restarting the kernel and/or creating a new compute instance?
QUESTION
I'm going to use rasterio in python. I downloaded rasterio via
...ANSWER
Answered 2020-Sep-22 at 05:37I've got some experience with rasterio, but I am not nearly a master with it. If I remember correctly, rasterio requires you to have installed the program GDAL(both binaries and python utilities), and some other dependencies listed on the PyPi page. I don't use conda at the moment, I like to use the regular python 3.8 installer with pip. Given what I'm seeing with your installation, I would uninstall rasterio and follow a different installation procedure.
I follow the instructions listed here: https://rasterio.readthedocs.io/en/latest/installation.html
This page also has separate instructions for those using Anaconda.
The GDAL installation is by far the most annoying but once it's done, the hard part is over. The python utilities for both rasterio and gdal can be found here:
https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal
The second link is also provided on the PyPi page but I like to keep it bookmarked because there's a lot of good resources there!
QUESTION
I want to download all the python packages mentioned in the requirement.txt to a folder in Linux. I don't want to install them. I just need to download them.
python version is 3.6
list of packages in the requirement.txt
...ANSWER
Answered 2020-Jun-30 at 21:01The documentation gives what you want : pip download
pip download does the same resolution and downloading as pip install, but instead of installing the dependencies, it collects the downloaded distributions into the directory provided
So you may try these option with pip download :
QUESTION
I am quite familiar with Dask distributed for CPUs. I'd like to explore a transition to running my code on GPU cores. When I submit a task to the LocalCUDACluster I get this error:
...ANSWER
Answered 2020-Jun-13 at 15:37It looks like this question has an answer in the comments. I'm going to copy a response from Nick Becker
Dask's distributed scheduler is single threaded (CPU and GPU), and Dask-CUDA uses a one worker per GPU model. This means that each task assigned to a given GPU will run serially, but that the task itself will use the GPU for parallelized computation. You may want to look at the Dask documentation and explore Dask.Array (which also supports GPU arrays).
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install msgpack-python
You can use msgpack-python 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
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
