I recently found rdiff utility : http://beerpla.net/2008/05/12/a-better-diff-or-what-to-do-when-gnu-diff-runs-out-of-memory-diff-memory-exhausted/ that find differences between 2 huge files.
How can I use it in Windows? I am using PHP file to execute diff. Is rdiff the same way?
I want to implement the steps in the above link. Can I wrote it in PHP? and from where can execute rdiff? from Windows cmd? or cygwin cmd?
Here is another prepared windows binary for rdiff since other link in #H47 answer is not working - rdiff-2.0.2-win64.zip (mega.nz)
Compiled from librsync-2.0.2 using msys2 mingw64 gcc compiler.
You will need to compile rdiff for Windows yourself as it's not readily available. It's not that difficult, you need to:
- download the librsync source from github.com/librsync/librsync/releases
- install Cygwin
- compile following these instructions librsync.sourcefrog.net/page_install.html
- profit :-)
If you'd like, you can use my MinGW x64 build from here - www.filedropper.com/rdiff-win-200
Related
I have download that code from github.
Whenever that code tries to check mexopencv (a file inside lib folder). It shows an error on Matlab 2017a that is:
[error 3] please make sure gcc >= 4.4 g++ >= 4.4 is installed ...
I am having a gcc version of 8.8.0
Following is the description of system
Window 10
Visual Studio 2012
Matlab 2017a
opencv 2.4.10
mexopencv (install from your folder LIB)
You might lack of standard libraries (.dll in Windows but .lib in Linux). The code was developed under Linux (help is also only provided for Linux systems) and once tested under Windows 7.
The method was tested under OS linux lubuntu 14.04, CPU intel i5 and
16GB of RAM. This guide was written under a linux-based distribution
scope, more precisely debian. Unfortunately we lack experience to
address bugs or any problem that could emerge in non-linux OS, we will
provide only linux OS help regarding execution problems, we apologise.
we tested this code on Windows7. We successfully installed opencv
2.4.10 following this tutorial: [http://www.learnopencv.com/install-opencv3-on-windows/]
This suggests that the mex-function is also linux-based. The error should vanish if you compile the source code yourself on your system, e.g. with MinGW (also GCC), see here.
EDITED:
the README.markdown file (under LIB/mexopencv-master.zip) provides a little guide through the installation process of both, openCV and the mexopencv function for unix (including ubuntu 14.04) and Windows systems. The latter states:
Browse to mexopencv root folder, and type the following in the MATLAB
command window:
>> mexopencv.make
By default, mexopencv assumes the OpenCV library is installed in
C:\opencv. If this is not the case, specify the path as an argument:
>> mexopencv.make('opencv_path', 'c:\your\path\to\opencv')
Note that if you build OpenCV from source, this path specification
might not work out of the box. You need to replace dll files in the
OpenCV package with newly built binaries. Or, you need to modify
+mexopencv/make.m to correctly link your MEX-files with the library.
To remove existing mexopencv binaries, use the following command.
>> mexopencv.make('clean', true)
It requires a standard C++ compiler supported by Matlab (see here), any Visual Studio installation should be OK, as an open-source option MinGW is recommended. Just remember to pick the right system (usually 64-bit).
Can anyone tell me if it is possible to use mxnet with matlab on windows? Using the windows packaged releases from https://github.com/dmlc/mxnet/releases, there is no "matlab" directory, which I can see is present in the newer versions, which do not have windows packages.
is there a way to get the best of both worlds?
Yes, it works, even thought I doubt it has been extensively tested. Their Matlab wrapping assumes the library lies in the lib directory, which is inconsistent with their python wrapping that assumes it lies in the build directory. So you will either have to copy libraries or change paths in callmxnet.m. Also, the demo needs data that is currently fetched by a bash script -- not very Windows friendly but it runs flawlessly with MSYS2.
IMHO the Matlab demo is currently more a proof-of-concept than a real Matlab wrapper. It is nowhere near the python bindings.
The matlab directory is directly on the repo not as a release:
https://github.com/dmlc/mxnet/tree/master/matlab
Maybe you can compile it for windows using cygwin or msys2, On the documentation it say that it was tested for matlab version:
Matlab binding has been tested with the following version:
R2016b (9.1.0.441655) 64-bit (glnxa64)
Which is a linux version; I think that it should be posible to reproduce the instructions in the readme to make it work woth cygwin or msys2 with windows
The Ubuntu equivalent would be libc6-dev, but I can't seem to find it for Solaris?
How can I get types.h and related files for building packages on Solaris or Illumos?
You need the system/header package.
I found this via http://pkg.oracle.com/solaris/release/en/search.shtml?token=types.h&action=Search
Assuming you use IPS 'pkg search 'types.h''
The Oracle Solaris 11 Cheat Sheet for Image Packaging System could be useful, too.
I am a windows 7 (64 bit) user. I was trying to install Class::Inspector module in Perl. However it requred Nmake15.exe. I have tried to download the exe and when I run it, there is an pop up message stating that
The program or feature Nmake15.exe cannot start or run due to incompatibility with 64-bit versions of Windows
Could anyone advice on this? Thanks. This is a pre-requisite module required by SOAP::Lite.
nmake 1.5 is very old, and getting a modern version involves installing the massive Visual Studio suite. As an alternative, you can use dmake which works just as well.
In addition, your version of ActivePerl is quite out of date. I believe more recent versions now ship with a make program and will run much better on Windows.
Finally, Strawberry Perl is in many ways a better distribution of Perl on Windows. It comes with a complete Perl module build toolchain including dmake and a C compiler. You should be able to install most modules on CPAN using its preconfigured CPAN shell.
Class::Inspector is a pure-Perl module. Therefore, you could easily install it by copying the contents of the lib/ directory into one of your #INC paths.
This does not solve your problem with installing modules in general, though. That's why you should install a 64 bit version of nmake. By installing the Windows SDK, the nmake utility will be available at "C:\Program Files (x86)\Microsoft Visual Studio...\VC\bin\amd64\nmake.exe" (microsoft.com).
We have Oracle Server " Oracle Version: 10.2.0.4.0 - 64bit". I like to connect to this server with Perl from my RHEL machine. I am able to connect via sqlplus successfully. I can use 32-bit or 64-bit Perl. I have few questions.
Which files I should download from Oracle.com and where should I install them?
What are the environment settings or path that I should set?
What are the configuration changes or Makefile arguments changes I should make to install DBD::Oracle module properly?
Thanks.
Please ignore the previous answer as it is woefully out of date.
All you need to download is the oracle "instant client" for Linux:
http://www.oracle.com/technology/software/tech/oci/instantclient/htdocs/linuxsoft.html
This gives you what you need to build the Perl module.
A quick google brought up the following for an install guide:
http://duberga.net/dbd_oracle_instantclient_linux/
(I'm sure there are others)