Snappy's main target is very high-speed compression/decompression with reasonable compression size. So the compression ratio of snappy-java is modest and about the same as LZF (ranging 20%-100% according to the dataset).
Download Snappy For Mac
See the installation instruction. Building from the source code is an option when your OS platform and CPU architecture is not supported. To build snappy-java, you need Git, JDK (1.6 or higher), Maven (3.x or higher is required), g++ compiler (mingw in Windows) etc.
The Makefile contains rules for cross-compiling the native library for other platforms so that the snappy-java JAR can support multiple platforms. For example, to build the native libraries for x86 Linux, x86 and x86-64 Windows, and soft- and hard-float ARM:
Simply put the snappy-java's jar to WEB-INF/lib folder of your web application. Usual JNI-library specific problem no longer exists since snappy-java version 1.0.3 or higher can be loaded by multiple class loaders in the same JVM by using native code injection to the parent class loader.
Did run run the installer using sudo? Some users use sudo to install SNAP in /Applications, others install to /Applications which does not require use of sudo. If you installed using sudo you may encounter permission problems when configuring snappy or updating SNAP.
Other users have some success building jpy for current Python version, but your use case may be different. With most SNAP snappy users working with the provided jpy binary wheels, those have been well-tested and it is easy for others to reproduce any bugs you might encounter.
running installrunning buildrunning build_pycreating buildcreating build/libcreating build/lib/snappycopying snappy/init.py -> build/lib/snappycopying snappy/setup.py -> build/lib/snappycopying snappy/snappyutil.py -> build/lib/snappyrunning install_libcreating /opt/anaconda3/envs/sentinel/lib/python3.6/site-packages/snappycopying build/lib/snappy/init.py -> /opt/anaconda3/envs/sentinel/lib/python3.6/site-packages/snappycopying build/lib/snappy/setup.py -> /opt/anaconda3/envs/sentinel/lib/python3.6/site-packages/snappycopying build/lib/snappy/snappyutil.py -> /opt/anaconda3/envs/sentinel/lib/python3.6/site-packages/snappybyte-compiling /opt/anaconda3/envs/sentinel/lib/python3.6/site-packages/snappy/init.py to init.cpython-36.pycbyte-compiling /opt/anaconda3/envs/sentinel/lib/python3.6/site-packages/snappy/setup.py to setup.cpython-36.pycbyte-compiling /opt/anaconda3/envs/sentinel/lib/python3.6/site-packages/snappy/snappyutil.py to snappyutil.cpython-36.pycrunning install_egg_infoWriting /opt/anaconda3/envs/sentinel/lib/python3.6/site-packages/snappy-8.0.0-py3.6.egg-info
I have reinstalled SNAP 8 and installed a Python version 3.6. I have chosen to configure my Python during the installation (I have selected /usr/local/bin/python3)Then I have changed my directory to: pereira@Marcelas-MacBook-Pro bin % ./snappy-conf /usr/local/bin/python3 but it does not work.It is the retrieval from snappyutil.log:Screenshot 2021-04-30 at 14.31.301376428 128 KB
I had to install OpenJDK (I did not have any version installed), I checked if it was working following the example java and it was running. Then I have installed Maven. However I have the same result from snappyutil.log:Screenshot 2021-05-03 at 16.29.131378534 140 KBAlso I have installed python 3.8 using Homebrew, so I dont understand where is the problem.
Simply download SnapPy.dmgand copy SnapPy.app to the Applications folder. Double-click to startit, just like any other application. Works with macOS/OS X 10.9 andnewer. Earlier releases can be found here.
If you write Python programs on a Macintosh or Windows system, you maywish to install SnapPy as a Python module into your own copy ofPython. We support Python 3.6 and up. (On macOS, use a Pythondownloaded from Python.org and not the oneprovided by Apple.) After installing Python, you may install a SnapPymodule from your Terminal application or Command Prompt with thecommands:
We offer three different installers for your convenience. Choose the one from the following table which suits your needs. During the installation process, each toolbox can be excluded from the installation. Toolboxes which are not initially installed via the installer can be later downloaded and installed using the plugin manager. Please note that SNAP and the individual Sentinel Toolboxes also support numerous sensors other than Sentinel.If you previously used SNAP before, we recommend uninstalling the older SNAP version before installing the latest version.
Mirror DownloadSMOS ToolboxThese installers contain only the SMOS Toolbox, download size is close to 500MB.Download also the Format Conversion Tool (Earth Explorer to NetCDF) and the user manual.Main Download
Mirror DownloadAll ToolboxesThese installers contain the Sentinel-1, Sentinel-2, Sentinel-3 Toolboxes, SMOS and PROBA-V Toolbox, download size is close to 1GB.Main Download
These are the files of the artifact snappy-java version1.1.8.2 from the grouporg.xerial.snappy. (adsbygoogle = window.adsbygoogle []).push(); snappy-java: A fast compression/decompression library
Installing Snap.pySnap.py can be installed via the pip module. To install Snap.py, execute pip from the command line as follows: python -m pip install snap-stanfordIf you have more than one version of Python installed on the system, make sure that python refers to the executable that you want to install Snap.py for. You might also need to add --user after install, if pip complains about your adminsitrative rights. The most recent notes about installing Snap.py on various systems is available at this document: Snap.py Installation Matrix.Manual Install of Snap.pyIf you want to use Snap.py in a local directory without installing it, then download the corresponding Snap.py package for your system, unpack it, and copy files snap.py and _snap.so (or _snap.pyd) to your working directory. The working directory must be different than the install directory.Documentation and SupportSnap.py Tutorial and Manual are available.Snap.py is a Python interface for SNAP, which is written in C++. Most of the SNAP functionality is supported.For more details on SNAP C++, check out SNAP C++ documentation.A tutorial on Large Scale Network Analytics with SNAP with a significant Snap.py specific component was given at the WWW2015 conference in Florence.Use the SNAP and Snap.py users mailing list for any questions or a discussion about Snap.py installation, use, and development. To post to the group, send your message to snap-discuss at googlegroups dot com.Quick Introduction to Snap.pyThis document gives a quick introduction to a range of Snap.py operations.Several programs are available to demonstrate the use of Snap.py. The programs are also useful as tests to confirm that your installation of Snap.py is working correctly: quick_test.py: a quick test to confirm that Snap.py works on your computer; intro.py: combines the code that is shown below on this page; tutorial.py: contains the code from Snap.py tutorial; tneanet.py: demonstrates the use of the TNEANet network class; cncom.py: demonstrates the use of functions for connected components; attributes.py: demonstrates the use of attributes in TNEANet network class; test-gnuplot.py: a quick test to confirm that gnuplot works; test-graphviz.py: a quick test to confirm that Graphviz works.The code from intro.py is explained in more details below.All the code assumes that Snap.py has been imported by the Python program. Make sure that you execute this line in Python before running any of the code below:import snap Graph and Network TypesSnap.py supports graphs and networks. Graphs describe topologies. That is nodes with unique integer ids and directed/undirected/multiple edges between the nodes of the graph. Networks are graphs with data on nodes and/or edges of the network. Data types that reside on nodes and edges are simply passed as template parameters which provides a very fast and convenient way to implement various kinds of networks with rich data on nodes and edges.
The pre-built 32-bit i386-Linux native hadoop library is available as part of the hadoop distribution and is located in the lib/native directory. You can download the hadoop distribution from Hadoop Common Releases.
VerneMQ depends on source code located in multiple Git repositories. Please make sure that git is installed on the target system. You'll also need to have libsnappy-dev (or snappy-dev on Centos based systems) on your system, before compiling VerneMQ. 2ff7e9595c
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