Search Results

Search found 14486 results on 580 pages for 'python idle'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 260/580 | < Previous Page | 256 257 258 259 260 261 262 263 264 265 266 267  | Next Page >

  • Which scripting language to use to asynchronously ssh into equipment, run several commands, parse the output, and save to a file on my computer?

    - by Fujin
    There are several points I'd like to stress in my question. I'd like to login by asynchronously ssh'ing into our infrastructure equipment. Meaning, I do not want to connect to only one device, do all the tasks I need, disconnect, then connect to the next device. I want to connect to several devices at once in order to make the process as fast as possible. By equipment I mean 'infrastructure equipment' and not servers. I say this because I will not have the luxury of saving files to the device then transferring them to myself with scp or another method. The output of the scripts that are run will have to be saved directly to my computer. The output of the commands that are run will need to be cleaned up and parsed. Also I want the outputs of each device to be combined into one nice and neat file, not a separate file for each device. This will all be done from a linux box, using ssh, into devices that all use linux'ish proprietary OSes. My guess is the answer to my question will either be a Bash, Perl, or Python script but I figured it wouldn't hurt to ask and to hear the reasons why one way is better than another. Thanks everyone. EXTRA CREDIT: With you answer, include links to resources that will help create the script I described in the language that you suggested.

    Read the article

  • Building an interleaved buffer for pyopengl and numpy

    - by Nick Sonneveld
    I'm trying to batch up a bunch of vertices and texture coords in an interleaved array before sending it to pyOpengl's glInterleavedArrays/glDrawArrays. The only problem is that I'm unable to find a suitably fast enough way to append data into a numpy array. Is there a better way to do this? I would have thought it would be quicker to preallocate the array and then fill it with data but instead, generating a python list and converting it to a numpy array is "faster". Although 15ms for 4096 quads seems slow. I have included some example code and their timings. #!/usr/bin/python import timeit import numpy import ctypes import random USE_RANDOM=True USE_STATIC_BUFFER=True STATIC_BUFFER = numpy.empty(4096*20, dtype=numpy.float32) def render(i): # pretend these are different each time if USE_RANDOM: tex_left, tex_right, tex_top, tex_bottom = random.random(), random.random(), random.random(), random.random() left, right, top, bottom = random.random(), random.random(), random.random(), random.random() else: tex_left, tex_right, tex_top, tex_bottom = 0.0, 1.0, 1.0, 0.0 left, right, top, bottom = -1.0, 1.0, 1.0, -1.0 ibuffer = ( tex_left, tex_bottom, left, bottom, 0.0, # Lower left corner tex_right, tex_bottom, right, bottom, 0.0, # Lower right corner tex_right, tex_top, right, top, 0.0, # Upper right corner tex_left, tex_top, left, top, 0.0, # upper left ) return ibuffer # create python list.. convert to numpy array at end def create_array_1(): ibuffer = [] for x in xrange(4096): data = render(x) ibuffer += data ibuffer = numpy.array(ibuffer, dtype=numpy.float32) return ibuffer # numpy.array, placing individually by index def create_array_2(): if USE_STATIC_BUFFER: ibuffer = STATIC_BUFFER else: ibuffer = numpy.empty(4096*20, dtype=numpy.float32) index = 0 for x in xrange(4096): data = render(x) for v in data: ibuffer[index] = v index += 1 return ibuffer # using slicing def create_array_3(): if USE_STATIC_BUFFER: ibuffer = STATIC_BUFFER else: ibuffer = numpy.empty(4096*20, dtype=numpy.float32) index = 0 for x in xrange(4096): data = render(x) ibuffer[index:index+20] = data index += 20 return ibuffer # using numpy.concat on a list of ibuffers def create_array_4(): ibuffer_concat = [] for x in xrange(4096): data = render(x) # converting makes a diff! data = numpy.array(data, dtype=numpy.float32) ibuffer_concat.append(data) return numpy.concatenate(ibuffer_concat) # using numpy array.put def create_array_5(): if USE_STATIC_BUFFER: ibuffer = STATIC_BUFFER else: ibuffer = numpy.empty(4096*20, dtype=numpy.float32) index = 0 for x in xrange(4096): data = render(x) ibuffer.put( xrange(index, index+20), data) index += 20 return ibuffer # using ctype array CTYPES_ARRAY = ctypes.c_float*(4096*20) def create_array_6(): ibuffer = [] for x in xrange(4096): data = render(x) ibuffer += data ibuffer = CTYPES_ARRAY(*ibuffer) return ibuffer def equals(a, b): for i,v in enumerate(a): if b[i] != v: return False return True if __name__ == "__main__": number = 100 # if random, don't try and compare arrays if not USE_RANDOM and not USE_STATIC_BUFFER: a = create_array_1() assert equals( a, create_array_2() ) assert equals( a, create_array_3() ) assert equals( a, create_array_4() ) assert equals( a, create_array_5() ) assert equals( a, create_array_6() ) t = timeit.Timer( "testing2.create_array_1()", "import testing2" ) print 'from list:', t.timeit(number)/number*1000.0, 'ms' t = timeit.Timer( "testing2.create_array_2()", "import testing2" ) print 'array: indexed:', t.timeit(number)/number*1000.0, 'ms' t = timeit.Timer( "testing2.create_array_3()", "import testing2" ) print 'array: slicing:', t.timeit(number)/number*1000.0, 'ms' t = timeit.Timer( "testing2.create_array_4()", "import testing2" ) print 'array: concat:', t.timeit(number)/number*1000.0, 'ms' t = timeit.Timer( "testing2.create_array_5()", "import testing2" ) print 'array: put:', t.timeit(number)/number*1000.0, 'ms' t = timeit.Timer( "testing2.create_array_6()", "import testing2" ) print 'ctypes float array:', t.timeit(number)/number*1000.0, 'ms' Timings using random numbers: $ python testing2.py from list: 15.0486779213 ms array: indexed: 24.8184704781 ms array: slicing: 50.2214789391 ms array: concat: 44.1691994667 ms array: put: 73.5879898071 ms ctypes float array: 20.6674289703 ms edit note: changed code to produce random numbers for each render to reduce object reuse and to simulate different vertices each time. edit note2: added static buffer and force all numpy.empty() to use dtype=float32 note 1/Apr/2010: still no progress and I don't really feel that any of the answers have solved the problem yet.

    Read the article

  • Psychology researcher wants to learn new language

    - by user273347
    I'm currently considering R, matlab, or python, but I'm open to other options. Could you help me pick the best language for my needs? Here are the criteria I have in mind (not in order): Simple to learn. I don't really have a lot of free time, so I'm looking for something that isn't extremely complicated and/or difficult to pick up. I know some C, FWIW. Good for statistics/psychometrics. I do a ton of statistics and psychometrics analysis. A lot of it is basic stuff that I can do with SPSS, but I'd like to play around with the more advanced stuff too (bootstrapping, genetic programming, data mining, neural nets, modeling, etc). I'm looking for a language/environment that can help me run my simpler analyses faster and give me more options than a canned stat package like SPSS. If it can even make tables for me, then it'll be perfect. I also do a fair bit of experimental psychology. I use a canned experiment "programming" software (SuperLab) to make most of my experiments, but I want to be able to program executable programs that I can run on any computer and that can compile the data from the experiments in a spreadsheet. I know python has psychopy and pyepl and matlab has psychtoolbox, but I don't know which one is best. If R had something like this, I'd probably be sold on R already. I'm looking for something regularly used in academe and industry. Everybody else here (including myself, so far) uses canned stat and experiment programming software. One of the reasons I'm trying to learn a programming language is so that I can keep up when I move to another lab. Looking forward to your comments and suggestions. Thank you all for your kind and informative replies. I appreciate it. It's still a tough choice because of so many strong arguments for each language. Python - Thinking about it, I've forgotten so much about C already (I don't even remember what to do with an array) that it might be better for me to start from scratch with a simple program that does what it's supposed to do. It looks like it can do most of the things I'll need it to do, though not as cleanly as R and MATLAB. R - I'm really liking what I'm reading about R. The packages are perfect for my statistical work now. Given the purpose of R, I don't think it's suited to building psychological experiments though. To clarify, what I mean is making a program that presents visual and auditory stimuli to my specifications (hundreds of them in a preset and/or randomized sequence) and records the response data gathered from participants. MATLAB - It's awesome that cognitive and neuro folk are recommending MATLAB, because I'm preparing for the big leap from social and personality psychology to cognitive neuro. The problem is the Uni where I work doesn't have MATLAB licenses (and 3750 GBP for a compiler license is not an option for me haha). Octave looks like a good alternative. PsychToolbox is compatible with Octave, thankfully. SQL - Thanks for the tip. I'll explore that option, too. Python will be the least backbreaking and most useful in the short term. R is well suited to my current work. MATLAB is well suited to my prospective work. It's a tough call, but I think I am now equipped to make a more well-informed decision about where to go next. Thanks again!

    Read the article

  • numpy calling sse2 via ctypes

    - by Daniel
    Hello, In brief, I am trying to call into a shared library from python, more specifically, from numpy. The shared library is implemented in C using sse2 instructions. Enabling optimisation, i.e. building the library with -O2 or –O1, I am facing strange segfaults when calling into the shared library via ctypes. Disabling optimisation (-O0), everything works out as expected, as is the case when linking the library to a c-program directly (optimised or not). Attached you find a snipped which exhibits the delineated behaviour on my system. With optimisation enabled, gdb reports a segfault in __builtin_ia32_loadupd (__P) at emmintrin.h:113. The value of __P is reported as optimised out. test.c: #include <emmintrin.h> #include <complex.h> void test(const int m, const double* x, double complex* y) { int i; __m128d _f, _x, _b; double complex f __attribute__( (aligned(16)) ); double complex b __attribute__( (aligned(16)) ); __m128d* _p; b = 1; _b = _mm_loadu_pd( (double *) &b ); _p = (__m128d*) y; for(i=0; i<m; ++i) { f = cexp(-I*x[i]); _f = _mm_loadu_pd( (double *) &f ); _x = _mm_loadu_pd( (double *) &x[i] ); _f = _mm_shuffle_pd(_f, _f, 1); *_p = _mm_add_pd(*_p, _f); *_p = _mm_add_pd(*_p, _x); *_p = _mm_mul_pd(*_p,_b); _p++; } return; } Compiler flags: gcc -o libtest.so -shared -std=c99 -msse2 -fPIC -O2 -g -lm test.c test.py: import numpy as np import os def zerovec_aligned(nr, dtype=np.float64, boundary=16): '''Create an aligned array of zeros. ''' size = nr * np.dtype(dtype).itemsize tmp = np.zeros(size + boundary, dtype=np.uint8) address = tmp.__array_interface__['data'][0] offset = boundary - address % boundary return tmp[offset:offset + size].view(dtype=dtype) lib = np.ctypeslib.load_library('libtest', '.' ) lib.test.restype = None lib.test.argtypes = [np.ctypeslib.ctypes.c_int, np.ctypeslib.ndpointer(np.float64, flags=('C', 'A') ), np.ctypeslib.ndpointer(np.complex128, flags=('C', 'A', 'W') )] n = 13 y = zerovec_aligned(n, dtype=np.complex128) x = np.ones(n, dtype=np.float64) # x = zerovec_aligned(n, dtype=np.float64) # x[:] = 1. lib.test(n,x,y) My system: Ubuntu Linux i686 2.6.31-22-generic Compiler: gcc (Ubuntu 4.4.1-4ubuntu9) Python: Python 2.6.4 (r264:75706, Dec 7 2009, 18:45:15) [GCC 4.4.1] Numpy: 1.4.0 I have taken provisions (cf. python code) that y is aligned and the alignment of x should not matter (I think; explicitly aligning x does not solve the problem though). Note also that i use _mm_loadu_pd instead of _mm_load_pd when loading b and f. For the C-only version _mm_load_pd works (as expected). However, when calling the function via ctypes using _mm_load_pd always segfaults (independent of optimisation). I have tried several days to sort out this issue without success ... and I am on the verge beating my monitor to death. Any input welcome. Daniel

    Read the article

  • 500 internal server error on certain page after a few hours

    - by Brian Leach
    I am getting a 500 Internal Server Error on a certain page of my site after a few hours of being up. I restart uWSGI instance with uwsgi --ini /home/metheuser/webapps/ers_portal/ers_portal_uwsgi.ini and it works again for a few hours. The rest of the site seems to be working. When I navigate to my_table, I am directed to the login page. But, I get the 500 error on my table page on login. I followed the instructions here to set up my nginx and uwsgi configs. That is, I have ers_portal_nginx.conf located i my app folder that is symlinked to /etc/nginx/conf.d/. I start my uWSGI "instance" (not sure what exactly to call it) in a Screen instance as mentioned above, with the .ini file located in my app folder My ers_portal_nginx.conf: server { listen 80; server_name www.mydomain.com; location / { try_files $uri @app; } location @app { include uwsgi_params; uwsgi_pass unix:/home/metheuser/webapps/ers_portal/run_web_uwsgi.sock; } } My ers_portal_uwsgi.ini: [uwsgi] #user info uid = metheuser gid = ers_group #application's base folder base = /home/metheuser/webapps/ers_portal #python module to import app = run_web module = %(app) home = %(base)/ers_portal_venv pythonpath = %(base) #socket file's location socket = /home/metheuser/webapps/ers_portal/%n.sock #permissions for the socket file chmod-socket = 666 #uwsgi varible only, does not relate to your flask application callable = app #location of log files logto = /home/metheuser/webapps/ers_portal/logs/%n.log Relevant parts of my views.py data_modification_time = None data = None def reload_data(): global data_modification_time, data, sites, column_names filename = '/home/metheuser/webapps/ers_portal/app/static/' + ec.dd_filename mtime = os.stat(filename).st_mtime if data_modification_time != mtime: data_modification_time = mtime with open(filename) as f: data = pickle.load(f) return data @a bunch of authentication stuff... @app.route('/') @app.route('/index') def index(): return render_template("index.html", title = 'Main',) @app.route('/login', methods = ['GET', 'POST']) def login(): login stuff... @app.route('/my_table') @login_required def my_table(): print 'trying to access data table...' data = reload_data() return render_template("my_table.html", title = "Rundata Viewer", sts = sites, cn = column_names, data = data) # dictionary of data I installed nginx via yum as described here (yesterday) I am using uWSGI installed in my venv via pip I am on CentOS 6 My uwsgi log shows: Wed Jun 11 17:20:01 2014 - uwsgi_response_writev_headers_and_body_do(): Broken pipe [core/writer.c line 287] during GET /whm-server-status (127.0.0.1) IOError: write error [pid: 9586|app: 0|req: 135/135] 127.0.0.1 () {24 vars in 292 bytes} [Wed Jun 11 17:20:01 2014] GET /whm-server-status => generated 0 bytes in 3 msecs (HTTP/1.0 404) 2 headers in 0 bytes (0 switches on core 0) When its working, the print statement in the views "my_table" route prints into the log file. But not once it stops working. Any ideas?

    Read the article

  • Error installing scipy on Mountain Lion with Xcode 4.5.1

    - by Xster
    Environment: Mountain Lion 10.8.2, Xcode 4.5.1 command line tools, Python 2.7.3, virtualenv 1.8.2 and numpy 1.6.2 When installing scipy with pip install -e "git+https://github.com/scipy/scipy#egg=scipy-dev" on a fresh virtualenv. llvm-gcc: scipy/sparse/linalg/eigen/arpack/ARPACK/FWRAPPERS/veclib_cabi_c.c In file included from /System/Library/Frameworks/vecLib.framework/Headers/vecLib.h:43, from /System/Library/Frameworks/Accelerate.framework/Headers/Accelerate.h:20, from scipy/sparse/linalg/eigen/arpack/ARPACK/FWRAPPERS/veclib_cabi_c.c:2: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:51:23: error: immintrin.h: No such file or directory In file included from /System/Library/Frameworks/vecLib.framework/Headers/vecLib.h:43, from /System/Library/Frameworks/Accelerate.framework/Headers/Accelerate.h:20, from scipy/sparse/linalg/eigen/arpack/ARPACK/FWRAPPERS/veclib_cabi_c.c:2: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h: In function ‘vceilf’: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:53: error: incompatible types in return /System/Library/Frameworks/vecLib.framework/Headers/vfp.h: In function ‘vfloorf’: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:54: error: incompatible types in return /System/Library/Frameworks/vecLib.framework/Headers/vfp.h: In function ‘vintf’: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:55: error: ‘_MM_FROUND_TRUNC’ undeclared (first use in this function) /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:55: error: (Each undeclared identifier is reported only once /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:55: error: for each function it appears in.) /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:55: error: incompatible types in return /System/Library/Frameworks/vecLib.framework/Headers/vfp.h: In function ‘vnintf’: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:56: error: ‘_MM_FROUND_NINT’ undeclared (first use in this function) /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:56: error: incompatible types in return In file included from /System/Library/Frameworks/vecLib.framework/Headers/vecLib.h:43, from /System/Library/Frameworks/Accelerate.framework/Headers/Accelerate.h:20, from scipy/sparse/linalg/eigen/arpack/ARPACK/FWRAPPERS/veclib_cabi_c.c:2: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:51:23: error: immintrin.h: No such file or directory In file included from /System/Library/Frameworks/vecLib.framework/Headers/vecLib.h:43, from /System/Library/Frameworks/Accelerate.framework/Headers/Accelerate.h:20, from scipy/sparse/linalg/eigen/arpack/ARPACK/FWRAPPERS/veclib_cabi_c.c:2: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h: In function ‘vceilf’: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:53: error: incompatible types in return /System/Library/Frameworks/vecLib.framework/Headers/vfp.h: In function ‘vfloorf’: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:54: error: incompatible types in return /System/Library/Frameworks/vecLib.framework/Headers/vfp.h: In function ‘vintf’: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:55: error: ‘_MM_FROUND_TRUNC’ undeclared (first use in this function) /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:55: error: (Each undeclared identifier is reported only once /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:55: error: for each function it appears in.) /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:55: error: incompatible types in return /System/Library/Frameworks/vecLib.framework/Headers/vfp.h: In function ‘vnintf’: /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:56: error: ‘_MM_FROUND_NINT’ undeclared (first use in this function) /System/Library/Frameworks/vecLib.framework/Headers/vfp.h:56: error: incompatible types in return error: Command "/usr/bin/llvm-gcc -fno-strict-aliasing -Os -w -pipe -march=core2 -msse4 -fwrapv -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -Iscipy/sparse/linalg/eigen/arpack/ARPACK/SRC -I/Users/xiao/.virtualenv/lib/python2.7/site-packages/numpy/core/include -c scipy/sparse/linalg/eigen/arpack/ARPACK/FWRAPPERS/veclib_cabi_c.c -o build/temp.macosx-10.4-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/ARPACK/FWRAPPERS/veclib_cabi_c.o" failed with exit status 1 Is it supposed to be looking for headers from my system frameworks? Is the development version of scipy no longer good for the latest version of Mountain Lion/Xcode?

    Read the article

  • Django + gunicorn + virtualenv + Supervisord issue

    - by Florian Le Goff
    Dear all, I have a strange issue with my virtualenv + gunicorn setup, only when gunicorn is launched via supervisord. I do realize that it may very well be an issue with my supervisord and I would appreciate any feedback on a better place to ask for help... In a nutshell : when I run gunicorn from my user shell, inside my virtualenv, everything is working flawlessly. I'm able to access all the views of my Django project. When gunicorn is launched by supervisord at the system startup, everything is OK. But, if I have to kill the gunicorn_django processes, or if I perform a supervisord restart, once that gunicorn_django has relaunched, every request is answered with a weird Traceback : (...) File "/home/hc/prod/venv/lib/python2.6/site-packages/Django-1.2.5-py2.6.egg/django/db/__init__.py", line 77, in connection = connections[DEFAULT_DB_ALIAS] File "/home/hc/prod/venv/lib/python2.6/site-packages/Django-1.2.5-py2.6.egg/django/db/utils.py", line 92, in __getitem__ backend = load_backend(db['ENGINE']) File "/home/hc/prod/venv/lib/python2.6/site-packages/Django-1.2.5-py2.6.egg/django/db/utils.py", line 50, in load_backend raise ImproperlyConfigured(error_msg) TemplateSyntaxError: Caught ImproperlyConfigured while rendering: 'django.db.backends.postgresql_psycopg2' isn't an available database backend. Try using django.db.backends.XXX, where XXX is one of: 'dummy', 'mysql', 'oracle', 'postgresql', 'postgresql_psycopg2', 'sqlite3' Error was: cannot import name utils Full stack available here : http://pastebin.com/BJ5tNQ2N I'm running... Ubuntu/maverick (up-to-date) Python = 2.6.6 virtualenv = 1.5.1 gunicorn = 0.12.0 Django = 1.2.5 psycopg2 = '2.4-beta2 (dt dec pq3 ext)' gunicorn configuration : backlog = 2048 bind = "127.0.0.1:8000" pidfile = "/tmp/gunicorn-hc.pid" daemon = True debug = True workers = 3 logfile = "/home/hc/prod/log/gunicorn.log" loglevel = "info" supervisord configuration : [program:gunicorn] directory=/home/hc/prod/hc command=/home/hc/prod/venv/bin/gunicorn_django -c /home/hc/prod/hc/gunicorn.conf.py user=hc umask=022 autostart=True autorestart=True redirect_stderr=True Any advice ? I've been stuck on this one for quite a while. It seems like some weird memory limit, as I'm not enforcing anything special : $ ulimit -a core file size (blocks, -c) 0 data seg size (kbytes, -d) unlimited scheduling priority (-e) 20 file size (blocks, -f) unlimited pending signals (-i) 16382 max locked memory (kbytes, -l) 64 max memory size (kbytes, -m) unlimited open files (-n) 1024 pipe size (512 bytes, -p) 8 POSIX message queues (bytes, -q) 819200 real-time priority (-r) 0 stack size (kbytes, -s) 8192 cpu time (seconds, -t) unlimited max user processes (-u) unlimited virtual memory (kbytes, -v) unlimited file locks (-x) unlimited Thank you.

    Read the article

  • Slow Memcached: Average 10ms memcached `get`

    - by Chris W.
    We're using Newrelic to measure our Python/Django application performance. Newrelic is reporting that across our system "Memcached" is taking an average of 12ms to respond to commands. Drilling down into the top dozen or so web views (by # of requests) I can see that some Memcache get take up to 30ms; I can't find a single use of Memcache get that returns in less than 10ms. More details on the system architecture: Currently we have four application servers each of which has a memcached member. All four memcached members participate in a memcache cluster. We're running on a cloud hosting provider and all traffic is running across the "internal" network (via "internal" IPs) When I ping from one application server to another the responses are in ~0.5ms Isn't 10ms a slow response time for Memcached? As far as I understand if you think "Memcache is too slow" then "you're doing it wrong". So am I doing it wrong? Here's the output of the memcache-top command: memcache-top v0.7 (default port: 11211, color: on, refresh: 3 seconds) INSTANCE USAGE HIT % CONN TIME EVICT/s GETS/s SETS/s READ/s WRITE/s cache1:11211 37.1% 62.7% 10 5.3ms 0.0 73 9 3958 84.6K cache2:11211 42.4% 60.8% 11 4.4ms 0.0 46 12 3848 62.2K cache3:11211 37.5% 66.5% 12 4.2ms 0.0 75 17 6056 170.4K AVERAGE: 39.0% 63.3% 11 4.6ms 0.0 64 13 4620 105.7K TOTAL: 0.1GB/ 0.4GB 33 13.9ms 0.0 193 38 13.5K 317.2K (ctrl-c to quit.) ** Here is the output of the top command on one machine: ** (Roughly the same on all cluster machines. As you can see there is very low CPU utilization, because these machines only run memcache.) top - 21:48:56 up 1 day, 4:56, 1 user, load average: 0.01, 0.06, 0.05 Tasks: 70 total, 1 running, 69 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.0%sy, 0.0%ni, 99.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.3%st Mem: 501392k total, 424940k used, 76452k free, 66416k buffers Swap: 499996k total, 13064k used, 486932k free, 181168k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 6519 nobody 20 0 384m 74m 880 S 1.0 15.3 18:22.97 memcached 3 root 20 0 0 0 0 S 0.3 0.0 0:38.03 ksoftirqd/0 1 root 20 0 24332 1552 776 S 0.0 0.3 0:00.56 init 2 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthreadd 4 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kworker/0:0 5 root 20 0 0 0 0 S 0.0 0.0 0:00.02 kworker/u:0 6 root RT 0 0 0 0 S 0.0 0.0 0:00.00 migration/0 7 root RT 0 0 0 0 S 0.0 0.0 0:00.62 watchdog/0 8 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 cpuset 9 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 khelper ...output truncated...

    Read the article

  • 10.6.4 Apple Wiki: New just created users can do nothing?

    - by beefon
    Hello, After update to 10.6.4 there's an issue: any new users that I create in Server Prefs/WGM can't post to their blogs, comment, create wiki pages... They can't do anything! There's log from Wiki errors (when user DURAK tries to create new blog entry): [HTTPChannel,5,127.0.0.1] Traceback (most recent call last): [HTTPChannel,5,127.0.0.1] File "/usr/share/caldavd/lib/python/twisted/web/server.py", line 126, in process self.render(resrc) [HTTPChannel,5,127.0.0.1] File "/usr/share/caldavd/lib/python/twisted/web/server.py", line 133, in render body = resrc.render(self) [HTTPChannel,5,127.0.0.1] File "/usr/share/wikid/lib/python/apple_xmlrpc_server/WebAppServer.py", line 90, in render d = defer.maybeDeferred(function, *args) [HTTPChannel,5,127.0.0.1] File "/usr/share/caldavd/lib/python/twisted/internet/defer.py", line 104, in maybeDeferred result = f(*args, **kw) [HTTPChannel,5,127.0.0.1] --- <exception caught here> --- [HTTPChannel,5,127.0.0.1] File "/usr/share/wikid/lib/python/apple_xmlrpc_server/ContentServiceBase.py", line 121, in xmlrpc_addEntry aPage = ContentEntry.newBundleBasedContentEntry (path = path, content = content, author = author, title = title, uid = uid, type = kind, versioned = self.versioned, templateName = template) [HTTPChannel,5,127.0.0.1] File "/usr/share/wikid/lib/python/apple_wlt/ContentEntry.py", line 794, in newBundleBasedContentEntry aPage.save('First created', 'created') [HTTPChannel,5,127.0.0.1] File "/usr/share/wikid/lib/python/apple_wlt/ContentEntry.py", line 445, in save revisions.addRevision(self.serializeEntry(revisionAttributes), inComment = comment, inAuthor = updateAuthor, inChangeType = editType) [HTTPChannel,5,127.0.0.1] File "/usr/share/wikid/lib/python/apple_utilities/sqlitersion.py", line 36, in _func result = f(self, *args, **kwargs) [HTTPChannel,5,127.0.0.1] File "/usr/share/wikid/lib/python/apple_utilities/sqlitersion.py", line 49, in addRevision contentPlistStr = plistlib.writePlistToString(inContentDict).decode("utf-8") [HTTPChannel,5,127.0.0.1] File "/S-m/Lib-ry/Fr-ks/Python.fr-k/Ver-s/2.6/lib/pyth-2.6/plistlib.py", line 110, in writePlistToString [HTTPChannel,5,127.0.0.1] File "/S-m/Lib-ry/Fr-ks/Python.fr-k/Ver-s/2.6/lib/pyth-2.6/plistlib.py", line 94, in writePlist [HTTPChannel,5,127.0.0.1] File "/S-m/Lib-ry/Fr-ks/Python.fr-k/Ver-s/2.6/lib/pyth-2.6/plistlib.py", line 251, in writeValue [HTTPChannel,5,127.0.0.1] File "/S-m/Lib-ry/Fr-ks/Python.fr-k/Ver-s/2.6/lib/pyth-2.6/plistlib.py", line 280, in writeDict [HTTPChannel,5,127.0.0.1] File "/S-m/Lib-ry/Fr-ks/Python.fr-k/Ver-s/2.6/lib/pyth-2.6/plistlib.py", line 238, in writeValue [HTTPChannel,5,127.0.0.1] File "/S-m/Lib-ry/Fr-ks/Python.fr-k/Ver-s/2.6/lib/pyth-2.6/plistlib.py", line 171, in simpleElement [HTTPChannel,5,127.0.0.1] File "/S-m/Lib-ry/Fr-ks/Python.fr-k/Ver-s/2.6/lib/pyth-2.6/plistlib.py", line 221, in _escapeAndEncode [HTTPChannel,5,127.0.0.1] exceptions.UnicodeDecodeError: 'ascii' codec can't decode byte 0xd0 in position 0: ordinal not in range(128) [HTTPChannel,5,127.0.0.1] 'Unparseable html in page, removing whatever was already written.' [HTTPChannel,5,127.0.0.1] Removing /Library/Collaboration/Users/durak/weblog/27133.page Any "old" user CAN create, modify, comment, etc. What can you recommend to fix this issue? Hope for your help...

    Read the article

  • Nginx reverse proxy with separate aliases

    - by gabeDel
    Interesting question I have this python code: import sys, bottle, gevent from bottle import * from gevent import * from gevent.wsgi import WSGIServer @route("/") def index(): yield "/" application=bottle.default_app() WSGIServer(('', port), application, spawn=None).serve_forever() that runs standalone with nignx infront of it as a reverse proxy. Now each of these pieces of code run separately but I run multiple of these per domain per project(directory) but the code thinks for some reason that it is top level and its not so when you go to mydomain.com/something it works but if you go to mydomain.com/something/ you will get an error. No I have tested and figured out that nginx is stripping the "something" from the request/query so that when you go to mydomain.com/something/ the code thinks you are going to mydomain.com// how do I get nginx to stop removing this information? Nginx site code: upstream mydomain { server 127.0.0.1:10100 max_fails=5 fail_timeout=10s; } upstream subdirectory { server 127.0.0.1:10199 max_fails=5 fail_timeout=10s; } server { listen 80; server_name mydomain.com; access_log /var/log/nginx/access.log; location /sub { proxy_pass http://subdirectory/; proxy_redirect off; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_max_temp_file_size 0; client_max_body_size 10m; client_body_buffer_size 128k; proxy_connect_timeout 90; proxy_send_timeout 90; proxy_read_timeout 90; proxy_buffer_size 4k; proxy_buffers 4 32k; proxy_busy_buffers_size 64k; proxy_temp_file_write_size 64k; } location /subdir { proxy_pass http://subdirectory/; proxy_redirect off; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_max_temp_file_size 0; client_max_body_size 10m; client_body_buffer_size 128k; proxy_connect_timeout 90; proxy_send_timeout 90; proxy_read_timeout 90; proxy_buffer_size 4k; proxy_buffers 4 32k; proxy_busy_buffers_size 64k; proxy_temp_file_write_size 64k; } }

    Read the article

  • How can I build pyv8 from source on FreeBSD against the v8 port?

    - by Utkonos
    I am unable to build pyv8 from source on FreeBSD. I have installed the /usr/ports/lang/v8 port, and I'm running into the following error. It seems that pyv8 wants to build v8 itself even though v8 is already built and installed. How can I point pyv8 to the already installed location of v8? # python setup.py build Found Google v8 base on V8_HOME , update it to the latest SVN trunk at running build ==================== INFO: Installing or updating GYP... -------------------- INFO: Check out GYP from SVN ... DEBUG: make dependencies ERROR: Check out GYP from SVN failed: code=2 DEBUG: "Makefile", line 43: Missing dependency operator "Makefile", line 45: Need an operator "Makefile", line 46: Need an operator "Makefile", line 48: Need an operator "Makefile", line 50: Need an operator "Makefile", line 52: Need an operator "Makefile", line 54: Missing dependency operator "Makefile", line 56: Need an operator "Makefile", line 58: Missing dependency operator "Makefile", line 60: Need an operator "Makefile", line 62: Missing dependency operator "Makefile", line 64: Need an operator "Makefile", line 66: Missing dependency operator "Makefile", line 68: Need an operator "Makefile", line 70: Missing dependency operator "Makefile", line 72: Need an operator "Makefile", line 73: Missing dependency operator "Makefile", line 75: Need an operator "Makefile", line 77: Missing dependency operator "Makefile", line 79: Need an operator "Makefile", line 81: Missing dependency operator "Makefile", line 83: Need an operator "Makefile", line 85: Missing dependency operator "Makefile", line 87: Need an operator "Makefile", line 89: Need an operator "Makefile", line 91: Missing dependency operator "Makefile", line 93: Need an operator "Makefile", line 95: Need an operator "Makefile", line 97: Need an operator "Makefile", line 99: Missing dependency operator "Makefile", line 101: Need an operator "Makefile", line 103: Missing dependency operator "Makefile", line 105: Need an operator "Makefile", line 107: Missing dependency operator "Makefile", line 109: Need an operator "Makefile", line 111: Missing dependency operator "Makefile", line 113: Need an operator "Makefile", line 115: Missing dependency operator "Makefile", line 117: Need an operator Error expanding embedded variable. ==================== INFO: Patching the GYP scripts INFO: patch the Google v8 build/standalone.gypi file to enable RTTI and C++ Exceptions ==================== INFO: building Google v8 with GYP for x64 platform with release mode -------------------- INFO: build v8 from SVN ... DEBUG: make verifyheap=off component=shared_library visibility=on gdbjit=off liveobjectlist=off regexp=native disassembler=off objectprint=off debuggersupport=on extrachecks=off snapshot=on werror=on x64.release ERROR: build v8 from SVN failed: code=2 DEBUG: "Makefile", line 43: Missing dependency operator "Makefile", line 45: Need an operator "Makefile", line 46: Need an operator "Makefile", line 48: Need an operator "Makefile", line 50: Need an operator "Makefile", line 52: Need an operator "Makefile", line 54: Missing dependency operator "Makefile", line 56: Need an operator "Makefile", line 58: Missing dependency operator "Makefile", line 60: Need an operator "Makefile", line 62: Missing dependency operator "Makefile", line 64: Need an operator "Makefile", line 66: Missing dependency operator "Makefile", line 68: Need an operator "Makefile", line 70: Missing dependency operator "Makefile", line 72: Need an operator "Makefile", line 73: Missing dependency operator "Makefile", line 75: Need an operator "Makefile", line 77: Missing dependency operator "Makefile", line 79: Need an operator "Makefile", line 81: Missing dependency operator "Makefile", line 83: Need an operator "Makefile", line 85: Missing dependency operator "Makefile", line 87: Need an operator "Makefile", line 89: Need an operator "Makefile", line 91: Missing dependency operator "Makefile", line 93: Need an operator "Makefile", line 95: Need an operator "Makefile", line 97: Need an operator "Makefile", line 99: Missing dependency operator "Makefile", line 101: Need an operator "Makefile", line 103: Missing dependency operator "Makefile", line 105: Need an operator "Makefile", line 107: Missing dependency operator "Makefile", line 109: Need an operator "Makefile", line 111: Missing dependency operator "Makefile", line 113: Need an operator "Makefile", line 115: Missing dependency operator "Makefile", line 117: Need an operator Error expanding embedded variable. The files that are installed by the v8 port are the following (in /usr/local): bin/d8 include/v8.h include/v8-debug.h include/v8-preparser.h include/v8-profiler.h include/v8-testing.h include/v8stdint.h lib/libv8.so lib/libv8.so.1

    Read the article

  • Why can't I build Deluge?

    - by hugemeow
    Deluge is a BitTorrent Client. I am trying to build it from source, since I don't have privilege to install it as root. I am using python setup.py build. But, it failed following message, why? copying deluge/ui/web/themes/images/gray/slider/slider-v-thumb.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/gray/slider copying deluge/ui/web/themes/images/gray/slider/slider-thumb.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/gray/slider copying deluge/ui/web/themes/images/gray/panel/top-bottom.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/gray/panel copying deluge/ui/web/themes/images/gray/tabs/tab-strip-bg.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/gray/tabs copying deluge/ui/web/themes/images/yourtheme/window/right-corners.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/window copying deluge/ui/web/themes/images/yourtheme/window/left-corners.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/window copying deluge/ui/web/themes/images/yourtheme/window/left-right.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/window copying deluge/ui/web/themes/images/yourtheme/window/top-bottom.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/window creating build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/slider copying deluge/ui/web/themes/images/yourtheme/slider/slider-v-thumb.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/slider copying deluge/ui/web/themes/images/yourtheme/slider/slider-thumb.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/slider copying deluge/ui/web/themes/images/yourtheme/slider/slider-bg.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/slider copying deluge/ui/web/themes/images/yourtheme/slider/slider-v-bg.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/slider copying deluge/ui/web/themes/images/yourtheme/panel/top-bottom.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/panel copying deluge/ui/web/themes/images/yourtheme/grid/hmenu-lock.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/grid copying deluge/ui/web/themes/images/yourtheme/grid/hmenu-unlock.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/grid copying deluge/ui/web/themes/images/yourtheme/tabs/tab-strip-bg.png -> build/lib.linux-x86_64-2.4/deluge/ui/web/themes/images/yourtheme/tabs running build_ext building 'libtorrent' extension gcc -pthread -shared -L/usr/lib64 -L/opt/local/lib -lboost_filesystem -lboost_date_time -lboost_iostreams -lboost_python -lboost_thread -lpthread -lssl -lz -o build/lib.linux-x86_64-2.4/deluge/libtorrent.so /usr/bin/ld: cannot find -lboost_filesystem collect2: ld returned 1 exit status error: command 'gcc' failed with exit status 1 [mirror@innov deluge-1.3.5]$ echo $? 1 Edit 1: gcc version and os information $(which gcc) --version gcc (GCC) 4.1.2 20080704 (Red Hat 4.1.2-52) Copyright (C) 2006 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. cat /etc/issue CentOS release 5.7 (Final) Kernel \r on an \m Edit 2: boost is referenced by setup.py in deluge 114 if OS == "linux": 115 if os.path.exists(os.path.join(sysconfig.get_config_vars()['LIBDIR'], \ 116 'libboost_filesystem-mt.so')): 117 boost_filesystem = "boost_filesystem-mt" 118 elif os.path.exists(os.path.join(sysconfig.get_config_vars()['LIBDIR'], \ 119 'libboost_filesystem.so')): 120 boost_filesystem = "boost_filesystem" 121 if os.path.exists(os.path.join(sysconfig.get_config_vars()['LIBDIR'], \ 122 'libboost_date_time-mt.so')): 123 boost_date_time = "boost_date_time-mt" 124 elif os.path.exists(os.path.join(sysconfig.get_config_vars()['LIBDIR'], \ 125 'libboost_date_time.so')): 126 boost_date_time = "boost_date_time" 127 if os.path.exists(os.path.join(sysconfig.get_config_vars()['LIBDIR'], \ 128 'libboost_thread-mt.so')): 129 boost_thread = "boost_thread-mt" 130 elif os.path.exists(os.path.join(sysconfig.get_config_vars()['LIBDIR'], \ 131 'libboost_thread.so')): 132 boost_thread = "boost_thread" 133 134 if 'boost_filesystem' not in vars(): 135 boost_filesystem = "boost_filesystem-mt" 136 if 'boost_date_time' not in vars(): 137 boost_date_time = "boost_date_time-mt" 138 if 'boost_thread' not in vars(): 139 boost_thread = "boost_thread-mt" 140 141 elif OS == "freebsd": 142 boost_filesystem = "boost_filesystem" 143 boost_date_time = "boost_date_time" 144 boost_thread = "boost_thread" 145 else: 146 boost_filesystem = "boost_filesystem-mt" 147 boost_date_time = "boost_date_time-mt" 148 boost_thread = "boost_thread-mt" 149 150 librariestype = [boost_filesystem, boost_date_time, 151 boost_thread, 'z', 'pthread', 'ssl', 'crypto']

    Read the article

  • What's going on with my server? High load, lots of idle CPU time, low disk utilization

    - by Jonathan
    I run a web site and send a legitimate opt-in, daily email newsletter to subscribers. Both the web hosting and email sending are done by the same machine. I have about 100,000 subscribers who have opted in to my daily email newsletter. My PHP script did a pretty good job sending mail to all of them until fairly recently, but as the list has grown I can't keep up. When I run top, I have very high load--usually at least 6 or 7, sometimes as high as 15--even though I only have two CPUs. However, when I run sar, my CPU is idle an average of about 30% of the time. So, it seems I'm not CPU bound. When I run iostat, it seems as though I'm not disk bound because my %util for each device is very low (no more than 5%). Given that I don't seem to be CPU bound or disk bound, why is top reporting such high load? Additionally, since I don't seem to be CPU bound or disk bound, why is my email sending script not able to keep up? Here's what I see when running top: top - 11:33:28 up 74 days, 18:49, 2 users, load average: 7.65, 8.79, 8.28 Tasks: 168 total, 5 running, 162 sleeping, 0 stopped, 1 zombie Cpu(s): 38.9%us, 58.6%sy, 0.8%ni, 0.0%id, 0.7%wa, 0.2%hi, 0.8%si, 0.0%st Mem: 3083012k total, 2144436k used, 938576k free, 281136k buffers Swap: 2048248k total, 39164k used, 2009084k free, 1470412k cached Here's what I see when running iostat -mx: avg-cpu: %user %nice %system %iowait %steal %idle 34.80 1.20 55.24 0.37 0.00 8.38 Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz avgqu-sz await svctm %util sda 0.19 71.70 1.59 29.45 0.02 0.07 5.90 0.55 17.82 1.16 3.59 sda1 0.00 0.00 0.00 0.00 0.00 0.00 7.10 0.00 13.80 13.72 0.00 sda2 0.05 50.45 1.13 24.57 0.01 0.29 24.25 0.35 13.43 1.15 2.97 sda3 0.05 10.17 0.20 2.33 0.01 0.05 43.75 0.05 20.96 2.45 0.62 sda4 0.00 0.00 0.00 0.00 0.00 0.00 2.00 0.00 70.50 70.50 0.00 sda5 0.07 0.22 0.03 0.07 0.00 0.00 32.84 0.08 856.19 8.03 0.08 sda6 0.02 5.45 0.03 0.72 0.00 0.02 67.55 0.02 26.72 5.26 0.39 sda7 0.00 1.56 0.00 0.42 0.00 0.01 38.04 0.00 8.88 5.84 0.24 sda8 0.01 3.84 0.20 1.35 0.00 0.02 28.55 0.05 31.90 4.08 0.63 Here's what I see when running sar: 09:40:02 AM CPU %user %nice %system %iowait %steal %idle 09:50:01 AM all 30.59 1.01 49.80 0.23 0.00 18.37 10:00:08 AM all 31.73 0.92 51.66 0.13 0.00 15.55 10:10:06 AM all 30.43 0.99 48.94 0.26 0.00 19.38 10:20:01 AM all 29.58 1.00 47.76 0.25 0.00 21.42 10:30:01 AM all 29.37 1.02 47.30 0.18 0.00 22.13 10:40:06 AM all 32.50 1.01 52.94 0.16 0.00 13.39 10:50:01 AM all 30.49 1.00 49.59 0.15 0.00 18.77 11:00:01 AM all 29.43 0.99 47.71 0.17 0.00 21.71 11:10:07 AM all 30.26 0.93 49.48 0.83 0.00 18.50 11:20:02 AM all 29.83 0.81 48.51 1.32 0.00 19.52 11:30:06 AM all 31.18 0.88 51.33 1.15 0.00 15.47 Average: all 26.21 1.15 42.62 0.48 0.00 29.54 Here are the top handful of processes listed at the particular time I happened to run top -c: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 8180 mysql 16 0 57448 19m 2948 S 26.6 0.7 4702:26 /usr/sbin/mysqld --basedir=/ --datadir=/var/lib/mysql --user=mysql --pid-file=/var/lib/mysql/bristno.pid --skip-external-locking 26956 brristno 17 0 0 0 0 Z 8.0 0.0 0:00.24 [php] <defunct> 26958 brristno 17 0 94408 43m 37m R 5.0 1.4 0:00.15 /usr/bin/php /home/brristno/public_html/dbv.php 22852 nobody 16 0 9628 2900 1524 S 0.7 0.1 0:00.17 /usr/local/apache/bin/httpd -k start -DSSL 8591 brristno 34 19 96896 13m 6652 S 0.3 0.4 0:29.82 /usr/local/bin/php /home/brristno/bin/mailer.php 1qwqyb6 i0gbor 24469 nobody 16 0 9628 2880 1508 S 0.3 0.1 0:00.08 /usr/local/apache/bin/httpd -k start -DSSL 25495 nobody 15 0 9628 2876 1500 S 0.3 0.1 0:00.06 /usr/local/apache/bin/httpd -k start -DSSL 26149 nobody 15 0 9628 2864 1504 S 0.3 0.1 0:00.04 /usr/local/apache/bin/httpd -k start -DSSL

    Read the article

  • Could not import Django settings into Google App Engine

    - by gkelsall
    Hello all you Google App Engine experts, I have used Django a little before but am new to Google App Engine and am trying to use it's development web server with Django for the first time. I don't know if this is relevent but I previously had Django 1.1 and Python 2.6 on my Windows XP and even though I have uninstalled Python 2.6 there is still a folder and entries in the registry. I have followed the instructions from Google but when I browse to the GAE developemnt web server it cannot find my settings (details below). Any hints gratefully received. Regards Geoff C:\Documents and Settings\GeoffK\My Documents\ing\ingsite>echo %PATH% C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS \system32\WindowsPowerShell\v1.0;;C:\Python25;C:\Python25\Lib\site- packages\django\bin;C:\Documents and Settings\GeoffK\My Documents\ing \ingsite;C:\Program Files\Google\google_appengine\ C:\Documents and Settings\GeoffK\My Documents\ing\ingsite>echo %PYTHONPATH% C:\Documents and Settings\GeoffK\My Documents\ing\ingsite C:\Documents and Settings\GeoffK\My Documents\ing\ingsite>C:\Documents and Settings\GeoffK\My Documents\ing\ingsite>dev_appserver.py -- debug_imports ingiliz\ INFO 2009-08-04 07:29:45,328 appengine_rpc.py:157] Server: appengine.google. com INFO 2009-08-04 07:29:45,358 appcfg.py:322] Checking for updates to the SDK. INFO 2009-08-04 07:29:45,578 appcfg.py:336] The SDK is up to date. WARNING 2009-08-04 07:29:45,578 datastore_file_stub.py:404] Could not read data store data from c:\docume~1\geoffk\locals~1\temp \dev_appserver.datastore WARNING 2009-08-04 07:29:45,578 datastore_file_stub.py:404] Could not read data store data from c:\docume~1\geoffk\locals~1\temp \dev_appserver.datastore.history WARNING 2009-08-04 07:29:45,608 dev_appserver.py:3296] Could not initialize ima ges API; you are likely missing the Python "PIL" module. ImportError: No module named _imaging INFO 2009-08-04 07:29:45,625 dev_appserver_main.py:465] Running application ingiliz on port 8080: http://localhost:8080 ..... Now attempting to browse if need more detail here I can post ..... if not settings.DATABASE_ENGINE: File "C:\Python25\lib\site-packages\django\conf\__init__.py", line 28, in __ge tattr__ self._import_settings() File "C:\Python25\lib\site-packages\django\conf\__init__.py", line 59, in _imp ort_settings self._target = Settings(settings_module) File "C:\Python25\lib\site-packages\django\conf\__init__.py", line 94, in __in it__ raise ImportError, "Could not import settings '%s' (Is it on sys.path? Does it have syntax errors?): %s" % (self.SETTINGS_MODULE, e) ImportError: Could not import settings 'settings' (Is it on sys.path? Does it ha ve syntax errors?): No module named settings INFO 2009-08-04 07:31:02,187 dev_appserver.py:2982] "GET / HTTP/ 1.1" 500 -

    Read the article

  • Drawing a clamped uniform cubic B-spline using Cairo

    - by Tamás
    I have a bunch of coordinates which are the control points of a clamped uniform cubic B-spline on the 2D plane. I would like to draw this curve using Cairo calls (in Python, using Cairo's Python bindings), but as far as I know, Cairo supports Bézier curves only. I also know that the segments of a B-spline between two control points can be drawn using Bézier curves, but I can't find the exact formulae anywhere. Given the coordinates of the control points, how can I derive the control points of the corresponding Bézier curves? Is there any efficient algorithm for that?

    Read the article

  • Access to content of Lotus Notes database without Lotus Notes software installed

    - by Fortilan
    I am looking for a programatic way to access content in a Lotus Notes database (.nsf file) without having Lotus Notes software installed. Python would be preferred but I'm also willing to look at other languages e.g. C/C++ or other means e.g. SQL From what I have read, all of the methods e.g. Python COM access, pyodbc rely on having Lotus Notes server software installed. The problem I am trying to solve is to read the content and look for references (URL's back to a web site that is undergoing maintenance and the addresses in the web site will change) As a start, I want to get a list of references and hope to be able to replace them with the new references to the modified web site. Any ideas on how best to do this welcome :)

    Read the article

  • faking a filesystem / virtual filesystem

    - by attwad
    I have a web service to which users upload python scripts that are run on a server. Those scripts process files that are on the server and I want them to be able to see only a certain hierarchy of the server's filesystem (best: a temporary folder on which I copy the files I want processed and the scripts). The server will ultimately be a linux based one but if a solution is also possible on Windows it would be nice to know how. What I though of is creating a user with restricted access to folders of the FS - ultimately only the folder containing the scripts and files - and launch the python interpreter using this user. Can someone give me a better alternative? as relying only on this makes me feel insecure, I would like a real sandboxing or virtual FS feature where I could run safely untrusted code.

    Read the article

  • cannot find vcvarsall.bat when runnning a pyhton script

    - by Ariel
    hello all, i am working on vista, and using python 2.6.4. i am using a software which uses a python script. but then i bumped into the message "cannot find vcvarsall.bat". so i installed visual c++ 2010. still the file is not found though it is there. my guess (a very uneducated one...) is that somewhere the path is wrong, because i also have an old visual 2008 (pretty empty) folder. since i have little idea in programming i have no idea where to make the changes for the new path. do i change something in the registery or in the script. i would be happy if somebody could help (preferably in lamen terms). thanx. Ariel

    Read the article

  • Vectorizatoin of index operation for a scipy.sparse matrix

    - by celil
    The following code runs too slowly even though everything seems to be vectorized. from numpy import * from scipy.sparse import * n = 100000; i = xrange(n); j = xrange(n); data = ones(n); A=csr_matrix((data,(i,j))); x = A[i,j] The problem seems to be that the indexing operation is implemented as a python function, and invoking A[i,j] results in the following profiling output 500033 function calls in 8.718 CPU seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 100000 7.933 0.000 8.156 0.000 csr.py:265(_get_single_element) 1 0.271 0.271 8.705 8.705 csr.py:177(__getitem__) (...) Namely, the python function _get_single_element gets called 100000 times which is really inefficient. Why isn't this implemented in pure C? Does anybody know of a way of getting around this limitation, and speeding up the above code? Should I be using a different sparse matrix type?

    Read the article

  • How to find the filename of a script being run when it is executed from a symlink on linux

    - by Phil Boltt
    Hi, If I have a python script that is executed via a symlink, is there a way that I can find the path to the script rather than the symlink? I've tried using the methods suggested in this question, but they always return the path to the symlink, not the script. For example, when this is saved as my "/usr/home/philboltt/scripts/test.py" : #!/usr/bin/python import sys print sys.argv[0] print __file__ and I then create this symlink ln -s /usr/home/philboltt/scripts/test.py /usr/home/philboltt/test and execute the script using /usr/home/philboltt/test I get the following output: /usr/home/philboltt/test /usr/home/philboltt/test Thanks! Phil

    Read the article

  • Using Tweepy API behind proxy

    - by user1505819
    I have a using Tweepy, a python wrapper for Twitter.I am writing a small GUI application in Python which updates my twitter account. Currently, I am just testing if the I can get connected to Twitter, hence used test() call. I am behind Squid Proxy server.What changes should I make to snippet so that I should get my work done. Setting http_proxy in bash shell did not help me. def printTweet(self): #extract tweet string tweet_str = str(self.ui.tweet_txt.toPlainText()) ; #tweet string extracted. self.ui.tweet_txt.clear() ; self.tweet_on_twitter(str); def tweet_on_twitter(self,my_tweet) : auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET); auth.set_access_token(ACCESS_KEY, ACCESS_SECRET) ; api = tweepy.API(auth) ; if api.test() : print 'Test successful' ; else : print 'Test unsuccessful';

    Read the article

  • nested for loop

    - by Gary
    Hello, Just learning Python and trying to do a nested for loop. What I'd like to do in the end is place a bunch of email addresses in a file and have this script find the info, like the sending IP of mail ID. For now i'm testing it on my /var/log/auth.log file Here is my code so far: #!/usr/bin/python # this section puts emails from file(SpamEmail) in to a array(array) in_file = open("testFile", "r") array = in_file.readlines() in_file.close() # this section opens and reads the target file, in this case 'auth.log' log = open("/var/log/auth.log", "r") auth = log.readlines() for email in array: print "Searching for " +email, for line in auth: if line.find(email) > -1: about = line.split() print about[0], print Inside 'testfile' I have the word 'disconnect' cause I know it's in the auth.log file. It just doesn't find the word 'disconnect'. In the line of "if line.find(email) -1:" i can replace email and put "disconnect" the scripts finds it fine. Any idea? Thanks in advance. Gary

    Read the article

  • Django Auth Model Issue - AUTH_USER_MODEL Not Installed

    - by Ian Warner
    Trying to debug this error with getting a Django project running ImproperlyConfigured: AUTH_USER_MODEL refers to model 'accounts.User' that has not been installed Running python manage.py migrate Must iterate i am in no way a python or django expert - I have simply inherited someone elses project that I am trying to get running for the team here. I have followed steps to install postgres required modules including south creating database for postgres Any help appreciated on how to debug this. settings/base.py contains INSTALLED_APPS = DJANGO_APPS + THIRD_PARTY_APPS + LOCAL_APPS LOCAL_APPS = ( 'apps.core', 'apps.accounts', 'apps.project_tool', 'apps.internal', 'apps.external', ) so apps.accounts exits - but it asks for AUTH_USER_MODEL = 'accounts.User' - should it be AUTH_USER_MODEL = 'apps.accounts.User'?

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 256 257 258 259 260 261 262 263 264 265 266 267  | Next Page >