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  • recv with MSG_NONBLOCK and MSG_WAITALL

    - by osgx
    Hello I want to use recv syscall with nonblocking flags MSG_NONBLOCK. But with this flag syscall can return before full request is satisfied. So, can I add MSG_WAITALL flag? Will it be nonblocking? or how should I rewrite blocking recv into the loop with nonblocking recv

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  • Java - Lock Aspect Ratio of JFrame

    - by nasufara
    Is it possible to lock the aspect ratio of a JFrame in Java Swing? For example, if my window is 200px by 200px, and the user wants to resize it, I want the ratio between the width and the height at 1:1, so that if the new width is 400px, the new height is forced to 400px. I'm aware of ComponentListener and componentResized, but I'm having difficulty not getting it to go into an infinite loop of resizing, because I'm resizing the window in a resize listener. Thanks!

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  • Python - calculate multinomial probability density functions on large dataset?

    - by Seafoid
    Hi, I originally intended to use MATLAB to tackle this problem but the inbuilt functions has limitations that do not suit my goal. The same limitation occurs in NumPy. I have two tab-delimited files. The first is a file showing amino acid residue, frequency and count for an in-house database of protein structures, i.e. A 0.25 1 S 0.25 1 T 0.25 1 P 0.25 1 The second file consists of quadruplets of amino acids and the number of times they occur, i.e. ASTP 1 Note, there are 8,000 such quadruplets. Based on the background frequency of occurence of each amino acid and the count of quadruplets, I aim to calculate the multinomial probability density function for each quadruplet and subsequently use it as the expected value in a maximum likelihood calculation. The multinomial distribution is as follows: f(x|n, p) = n!/(x1!*x2!*...*xk!)*((p1^x1)*(p2^x2)*...*(pk^xk)) where x is the number of each of k outcomes in n trials with fixed probabilities p. n is 4 four in all cases in my calculation. I have created three functions to calculate this distribution. # functions for multinomial distribution def expected_quadruplets(x, y): expected = x*y return expected # calculates the probabilities of occurence raised to the number of occurrences def prod_prob(p1, a, p2, b, p3, c, p4, d): prob_prod = (pow(p1, a))*(pow(p2, b))*(pow(p3, c))*(pow(p4, d)) return prob_prod # factorial() and multinomial_coefficient() work in tandem to calculate C, the multinomial coefficient def factorial(n): if n <= 1: return 1 return n*factorial(n-1) def multinomial_coefficient(a, b, c, d): n = 24.0 multi_coeff = (n/(factorial(a) * factorial(b) * factorial(c) * factorial(d))) return multi_coeff The problem is how best to structure the data in order to tackle the calculation most efficiently, in a manner that I can read (you guys write some cryptic code :-)) and that will not create an overflow or runtime error. To data my data is represented as nested lists. amino_acids = [['A', '0.25', '1'], ['S', '0.25', '1'], ['T', '0.25', '1'], ['P', '0.25', '1']] quadruplets = [['ASTP', '1']] I initially intended calling these functions within a nested for loop but this resulted in runtime errors or overfloe errors. I know that I can reset the recursion limit but I would rather do this more elegantly. I had the following: for i in quadruplets: quad = i[0].split(' ') for j in amino_acids: for k in quadruplets: for v in k: if j[0] == v: multinomial_coefficient(int(j[2]), int(j[2]), int(j[2]), int(j[2])) I haven'te really gotten to how to incorporate the other functions yet. I think that my current nested list arrangement is sub optimal. I wish to compare the each letter within the string 'ASTP' with the first component of each sub list in amino_acids. Where a match exists, I wish to pass the appropriate numeric values to the functions using indices. Is their a better way? Can I append the appropriate numbers for each amino acid and quadruplet to a temporary data structure within a loop, pass this to the functions and clear it for the next iteration? Thanks, S :-)

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  • Python performance: iteration and operations on nested lists

    - by J.J.
    Problem Hey folks. I'm looking for some advice on python performance. Some background on my problem: Given: A mesh of nodes of size (x,y) each with a value (0...255) starting at 0 A list of N input coordinates each at a specified location within the range (0...x, 0...y) Increment the value of the node at the input coordinate and the node's neighbors within range Z up to a maximum of 255. Neighbors beyond the mesh edge are ignored. (No wrapping) BASE CASE: A mesh of size 1024x1024 nodes, with 400 input coordinates and a range Z of 75 nodes. Processing should be O(x*y*Z*N). I expect x, y and Z to remain roughly around the values in the base case, but the number of input coordinates N could increase up to 100,000. My goal is to minimize processing time. Current results I have 2 current implementations: f1, f2 Running speed on my 2.26 GHz Intel Core 2 Duo with Python 2.6.1: f1: 2.9s f2: 1.8s f1 is the initial naive implementation: three nested for loops. f2 is replaces the inner for loop with a list comprehension. Code is included below for your perusal. Question How can I further reduce the processing time? I'd prefer sub-1.0s for the test parameters. Please, keep the recommendations to native Python. I know I can move to a third-party package such as numpy, but I'm trying to avoid any third party packages. Also, I've generated random input coordinates, and simplified the definition of the node value updates to keep our discussion simple. The specifics have to change slightly and are outside the scope of my question. thanks much! f1 is the initial naive implementation: three nested for loops. 2.9s def f1(x,y,n,z): rows = [] for i in range(x): rows.append([0 for i in xrange(y)]) for i in range(n): inputX, inputY = (int(x*random.random()), int(y*random.random())) topleft = (inputX - z, inputY - z) for i in xrange(max(0, topleft[0]), min(topleft[0]+(z*2), x)): for j in xrange(max(0, topleft[1]), min(topleft[1]+(z*2), y)): if rows[i][j] <= 255: rows[i][j] += 1 f2 is replaces the inner for loop with a list comprehension. 1.8s def f2(x,y,n,z): rows = [] for i in range(x): rows.append([0 for i in xrange(y)]) for i in range(n): inputX, inputY = (int(x*random.random()), int(y*random.random())) topleft = (inputX - z, inputY - z) for i in xrange(max(0, topleft[0]), min(topleft[0]+(z*2), x)): l = max(0, topleft[1]) r = min(topleft[1]+(z*2), y) rows[i][l:r] = [j+1 for j in rows[i][l:r] if j < 255]

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  • How to optimize my PageRank calculation?

    - by asmaier
    In the book Programming Collective Intelligence I found the following function to compute the PageRank: def calculatepagerank(self,iterations=20): # clear out the current PageRank tables self.con.execute("drop table if exists pagerank") self.con.execute("create table pagerank(urlid primary key,score)") self.con.execute("create index prankidx on pagerank(urlid)") # initialize every url with a PageRank of 1.0 self.con.execute("insert into pagerank select rowid,1.0 from urllist") self.dbcommit() for i in range(iterations): print "Iteration %d" % i for (urlid,) in self.con.execute("select rowid from urllist"): pr=0.15 # Loop through all the pages that link to this one for (linker,) in self.con.execute("select distinct fromid from link where toid=%d" % urlid): # Get the PageRank of the linker linkingpr=self.con.execute("select score from pagerank where urlid=%d" % linker).fetchone()[0] # Get the total number of links from the linker linkingcount=self.con.execute("select count(*) from link where fromid=%d" % linker).fetchone()[0] pr+=0.85*(linkingpr/linkingcount) self.con.execute("update pagerank set score=%f where urlid=%d" % (pr,urlid)) self.dbcommit() However, this function is very slow, because of all the SQL queries in every iteration >>> import cProfile >>> cProfile.run("crawler.calculatepagerank()") 2262510 function calls in 136.006 CPU seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.000 0.000 136.006 136.006 <string>:1(<module>) 1 20.826 20.826 136.006 136.006 searchengine.py:179(calculatepagerank) 21 0.000 0.000 0.528 0.025 searchengine.py:27(dbcommit) 21 0.528 0.025 0.528 0.025 {method 'commit' of 'sqlite3.Connecti 1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler 1339864 112.602 0.000 112.602 0.000 {method 'execute' of 'sqlite3.Connec 922600 2.050 0.000 2.050 0.000 {method 'fetchone' of 'sqlite3.Cursor' 1 0.000 0.000 0.000 0.000 {range} So I optimized the function and came up with this: def calculatepagerank2(self,iterations=20): # clear out the current PageRank tables self.con.execute("drop table if exists pagerank") self.con.execute("create table pagerank(urlid primary key,score)") self.con.execute("create index prankidx on pagerank(urlid)") # initialize every url with a PageRank of 1.0 self.con.execute("insert into pagerank select rowid,1.0 from urllist") self.dbcommit() inlinks={} numoutlinks={} pagerank={} for (urlid,) in self.con.execute("select rowid from urllist"): inlinks[urlid]=[] numoutlinks[urlid]=0 # Initialize pagerank vector with 1.0 pagerank[urlid]=1.0 # Loop through all the pages that link to this one for (inlink,) in self.con.execute("select distinct fromid from link where toid=%d" % urlid): inlinks[urlid].append(inlink) # get number of outgoing links from a page numoutlinks[urlid]=self.con.execute("select count(*) from link where fromid=%d" % urlid).fetchone()[0] for i in range(iterations): print "Iteration %d" % i for urlid in pagerank: pr=0.15 for link in inlinks[urlid]: linkpr=pagerank[link] linkcount=numoutlinks[link] pr+=0.85*(linkpr/linkcount) pagerank[urlid]=pr for urlid in pagerank: self.con.execute("update pagerank set score=%f where urlid=%d" % (pagerank[urlid],urlid)) self.dbcommit() This function is 20 times faster (but uses a lot more memory for all the temporary dictionaries) because it avoids the unnecessary SQL queries in every iteration: >>> cProfile.run("crawler.calculatepagerank2()") 64802 function calls in 6.950 CPU seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.004 0.004 6.950 6.950 <string>:1(<module>) 1 1.004 1.004 6.946 6.946 searchengine.py:207(calculatepagerank2 2 0.000 0.000 0.104 0.052 searchengine.py:27(dbcommit) 23065 0.012 0.000 0.012 0.000 {meth 'append' of 'list' objects} 2 0.104 0.052 0.104 0.052 {meth 'commit' of 'sqlite3.Connection 1 0.000 0.000 0.000 0.000 {meth 'disable' of '_lsprof.Profiler' 31298 5.809 0.000 5.809 0.000 {meth 'execute' of 'sqlite3.Connectio 10431 0.018 0.000 0.018 0.000 {method 'fetchone' of 'sqlite3.Cursor' 1 0.000 0.000 0.000 0.000 {range} But is it possible to further reduce the number of SQL queries to speed up the function even more?

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  • android service onBind SecurityException

    - by Metalex
    I don't know why but in some devices my service isn't allowed to bind. java.lang.RuntimeException: Unable to create application mypackage.MyApplication: java.lang.SecurityException: Unable to find app for caller android.app.ApplicationThreadProxy@41680e78 (pid=16805) when binding service Intent { cmp=mypackage/.MyService } at android.app.ActivityThread.handleBindApplication(ActivityThread.java:4394) at android.app.ActivityThread.access$1300(ActivityThread.java:141) at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1294) at android.os.Handler.dispatchMessage(Handler.java:99) at android.os.Looper.loop(Looper.java:137) at android.app.ActivityThread.main(ActivityThread.java:5039) at java.lang.reflect.Method.invokeNative(Native Method) at java.lang.reflect.Method.invoke(Method.java:511) at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:793) at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:560) at dalvik.system.NativeStart.main(Native Method) Caused by: java.lang.SecurityException: Unable to find app for caller android.app.ApplicationThreadProxy@41680e78 (pid=16805) when binding service Intent { cmp=mypackage/.MyService } at android.os.Parcel.readException(Parcel.java:1425) at android.os.Parcel.readException(Parcel.java:1379) at android.app.ActivityManagerProxy.bindService(ActivityManagerNative.java:2720) at android.app.ContextImpl.bindService(ContextImpl.java:1431) at android.app.ContextImpl.bindService(ContextImpl.java:1407) at android.content.ContextWrapper.bindService(ContextWrapper.java:473) at mypackage.MyApplication.openService(MyApplication.java:151) at mypackage.MyApplication.onCreate(MyApplication.java:110) at android.app.Instrumentation.callApplicationOnCreate(Instrumentation.java:1000) at android.app.ActivityThread.handleBindApplication(ActivityThread.java:4391) ... 10 more java.lang.SecurityException: Unable to find app for caller android.app.ApplicationThreadProxy@41680e78 (pid=16805) when binding service Intent { cmp=mypackage/.MyService } at android.os.Parcel.readException(Parcel.java:1425) at android.os.Parcel.readException(Parcel.java:1379) at android.app.ActivityManagerProxy.bindService(ActivityManagerNative.java:2720) at android.app.ContextImpl.bindService(ContextImpl.java:1431) at android.app.ContextImpl.bindService(ContextImpl.java:1407) at android.content.ContextWrapper.bindService(ContextWrapper.java:473) at mypackage.MyApplication.openService(MyApplication.java:151) at mypackage.MyApplication.onCreate(MyApplication.java:110) at android.app.Instrumentation.callApplicationOnCreate(Instrumentation.java:1000) at android.app.ActivityThread.handleBindApplication(ActivityThread.java:4391) at android.app.ActivityThread.access$1300(ActivityThread.java:141) at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1294) at android.os.Handler.dispatchMessage(Handler.java:99) at android.os.Looper.loop(Looper.java:137) at android.app.ActivityThread.main(ActivityThread.java:5039) at java.lang.reflect.Method.invokeNative(Native Method) at java.lang.reflect.Method.invoke(Method.java:511) at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:793) at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:560) at dalvik.system.NativeStart.main(Native Method) Code from MyApplication: @Override public void onCreate() { super.onCreate(); openService(); } public void openService() { Intent service = new Intent(this, MyService.class); mConnection = new ServiceConnection() { @Override public void onServiceConnected(ComponentName name, IBinder service) { mService = IMyService.Stub.asInterface(service); if (mListener != null) { mListener.onServiceStarted(mService); } } @Override public void onServiceDisconnected(ComponentName cn) { mService = null; } }; bindService(service, mConnection, Context.BIND_AUTO_CREATE); // 151 line } Please help me! Thank you!

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  • NTRU Pseudo-code for computing Polynomial Inverses

    - by Neville
    Hello all. I was wondering if anyone could tell me how to implement line 45 of the following pseudo-code. Require: the polynomial to invert a(x), N, and q. 1: k = 0 2: b = 1 3: c = 0 4: f = a 5: g = 0 {Steps 5-7 set g(x) = x^N - 1.} 6: g[0] = -1 7: g[N] = 1 8: loop 9: while f[0] = 0 do 10: for i = 1 to N do 11: f[i - 1] = f[i] {f(x) = f(x)/x} 12: c[N + 1 - i] = c[N - i] {c(x) = c(x) * x} 13: end for 14: f[N] = 0 15: c[0] = 0 16: k = k + 1 17: end while 18: if deg(f) = 0 then 19: goto Step 32 20: end if 21: if deg(f) < deg(g) then 22: temp = f {Exchange f and g} 23: f = g 24: g = temp 25: temp = b {Exchange b and c} 26: b = c 27: c = temp 28: end if 29: f = f XOR g 30: b = b XOR c 31: end loop 32: j = 0 33: k = k mod N 34: for i = N - 1 downto 0 do 35: j = i - k 36: if j < 0 then 37: j = j + N 38: end if 39: Fq[j] = b[i] 40: end for 41: v = 2 42: while v < q do 43: v = v * 2 44: StarMultiply(a; Fq; temp;N; v) 45: temp = 2 - temp mod v 46: StarMultiply(Fq; temp; Fq;N; v) 47: end while 48: for i = N - 1 downto 0 do 49: if Fq[i] < 0 then 50: Fq[i] = Fq[i] + q 51: end if 52: end for 53: {Inverse Poly Fq returns the inverse polynomial, Fq, through the argument list.} The function StarMultiply returns a polynomial (array) stored in the variable temp. Basically temp is a polynomial (I'm representing it as an array) and v is an integer (say 4 or 8), so what exactly does temp = 2-temp mod v equate to in normal language? How should i implement that line in my code. Can someone give me an example. The above algorithm is for computing Inverse polynomials for NTRUEncrypt key generation. The pseudo-code can be found on page 28 of this document. Thanks in advance.

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  • How to diagnose frequent segfaults

    - by Andreas Gohr
    My server is logging frequent segmentation faults to /var/log/kern.log in different tools. So far I've seen them in Perl, PHP and rsync. All installed software is up-to-date Debian packages. Here's an exerpt from the log file: Mar 2 01:07:54 gaz kernel: [ 5316.246303] imapsync[4533]: segfault at 8b ip 00007fb448c98fe6 sp 00007ffff571dd68 error 4 in libperl.so.5.10.1[7fb448bd7000+164000] Mar 2 01:17:42 gaz kernel: [ 5904.354307] php5-cgi[4441]: segfault at 2bb3dc8 ip 0000000002bb3dc8 sp 00007fffbeeaae48 error 15 Mar 2 02:54:05 gaz kernel: [11687.922316] php5-cgi[4495]: segfault at 2d7acf9 ip 0000000002d7acf9 sp 00007fff60c6eb18 error 15 Mar 2 10:50:08 gaz kernel: [40250.390322] BUG: unable to handle kernel paging request at 00000000024b03f0 Mar 2 10:50:08 gaz kernel: [40250.390341] IP: [<00000000024b03f0>] 0x24b03f0 Mar 2 10:50:08 gaz kernel: [40250.390353] PGD 208c71067 PUD 21c811067 PMD 209329067 PTE 8000000211c88067 Mar 2 10:50:08 gaz kernel: [40250.390365] Oops: 0011 [#1] SMP Mar 2 10:50:08 gaz kernel: [40250.390373] last sysfs file: /sys/devices/pci0000:00/0000:00:12.0/host4/target4:0:0/4:0:0:0/block/sdb/stat Mar 2 10:50:08 gaz kernel: [40250.390386] CPU 1 Mar 2 10:50:08 gaz kernel: [40250.390392] Modules linked in: cpufreq_userspace cpufreq_stats cpufreq_powersave cpufreq_conservative xt_recent xt_tcpudp iptable_nat nf_nat nf_conntrack_ipv4 nf_defrag_ ipv4 ip6table_filter ip6_tables xt_DSCP xt_TCPMSS ipt_LOG ipt_REJECT iptable_mangle iptable_filter xt_multiport xt_state xt_limit xt_conntrack nf_conntrack_ftp nf_conntrack ip_tables x_tables loop snd _hda_codec_atihdmi snd_hda_intel snd_hda_codec snd_hwdep snd_pcm radeon snd_timer ttm snd drm_kms_helper soundcore drm snd_page_alloc i2c_algo_bit shpchp i2c_piix4 edac_core pcspkr k8temp evdev edac_m ce_amd pci_hotplug i2c_core button ext3 jbd mbcache dm_mod powernow_k8 aacraid 3w_9xxx 3w_xxxx raid10 raid456 async_raid6_recov async_pq raid6_pq async_xor xor async_memcpy async_tx raid1 raid0 md_mod sata_nv sata_sil sata_via sd_mod crc_t10dif ata_generic ahci pata_atiixp ohci_hcd libata r8169 mii thermal ehci_hcd processor thermal_sys scsi_mod usbcore nls_base [last unloaded: scsi_wait_scan] Mar 2 10:50:08 gaz kernel: [40250.390566] Pid: 11482, comm: munin-limits Not tainted 2.6.32-5-amd64 #1 MS-7368 Mar 2 10:50:08 gaz kernel: [40250.390576] RIP: 0010:[<00000000024b03f0>] [<00000000024b03f0>] 0x24b03f0 Mar 2 10:50:08 gaz kernel: [40250.390586] RSP: 0018:ffff88021cc8dec0 EFLAGS: 00010286 Mar 2 10:50:08 gaz kernel: [40250.390593] RAX: 000000001ddc1000 RBX: 0000000000000010 RCX: ffffffff810f9904 Mar 2 10:50:08 gaz kernel: [40250.390600] RDX: 0000000000000000 RSI: ffffea0007688200 RDI: 0000000000000286 Mar 2 10:50:08 gaz kernel: [40250.390608] RBP: 00000000ffffffea R08: 0000000000000025 R09: 7865542f30312e35 Mar 2 10:50:08 gaz kernel: [40250.390615] R10: 000000d01cc8ddf8 R11: 0000000000000246 R12: ffff88021cc8def8 Mar 2 10:50:08 gaz kernel: [40250.390622] R13: 0000000002295010 R14: 00000000022c9db0 R15: 0000000002488d78 Mar 2 10:50:08 gaz kernel: [40250.390630] FS: 00007f3b3c8b2700(0000) GS:ffff880008d00000(0000) knlGS:0000000000000000 Mar 2 10:50:08 gaz kernel: [40250.390641] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 Mar 2 10:50:08 gaz kernel: [40250.390648] CR2: 00000000024b03f0 CR3: 000000021c5d1000 CR4: 00000000000006e0 Mar 2 10:50:08 gaz kernel: [40250.390656] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 Mar 2 10:50:08 gaz kernel: [40250.390663] DR3: 0000000000000000 DR6: 00000000ffff0ff0 DR7: 0000000000000400 Mar 2 10:50:08 gaz kernel: [40250.390671] Process munin-limits (pid: 11482, threadinfo ffff88021cc8c000, task ffff88021bf59530) Mar 2 10:50:08 gaz kernel: [40250.390681] Stack: Mar 2 10:50:08 gaz kernel: [40250.390687] ffffffff810f1d4a ffff880208c63228 0000000000000000 00007fffc2dcecc0 Mar 2 10:50:08 gaz kernel: [40250.390697] <0> 00000000024ba2b0 0000000002295010 ffffffff810f1e3d 0000000000000004 Mar 2 10:50:08 gaz kernel: [40250.390712] <0> ffff88021bf59530 ffff88021c4edc00 ffffffff812fe0b6 ffff88021c4edc60 Mar 2 10:50:08 gaz kernel: [40250.390732] Call Trace: Mar 2 10:50:08 gaz kernel: [40250.390742] [<ffffffff810f1d4a>] ? vfs_fstatat+0x2c/0x57 Mar 2 10:50:08 gaz kernel: [40250.390750] [<ffffffff810f1e3d>] ? sys_newstat+0x11/0x30 Mar 2 10:50:08 gaz kernel: [40250.390760] [<ffffffff812fe0b6>] ? do_page_fault+0x2e0/0x2fc Mar 2 10:50:08 gaz kernel: [40250.390768] [<ffffffff812fbf55>] ? page_fault+0x25/0x30 Mar 2 10:50:08 gaz kernel: [40250.390777] [<ffffffff81010b42>] ? system_call_fastpath+0x16/0x1b Mar 2 10:50:08 gaz kernel: [40250.390783] Code: Bad RIP value. Mar 2 10:50:08 gaz kernel: [40250.390791] RIP [<00000000024b03f0>] 0x24b03f0 Mar 2 10:50:08 gaz kernel: [40250.390799] RSP <ffff88021cc8dec0> Mar 2 10:50:08 gaz kernel: [40250.390805] CR2: 00000000024b03f0 Mar 2 10:50:08 gaz kernel: [40250.391051] ---[ end trace 1cc1473b539c7f6e ]--- Mar 2 11:42:20 gaz kernel: [43382.242301] php5-cgi[10963]: segfault at d81160 ip 0000000000d81160 sp 00007fff3adcb058 error 15 Mar 2 21:51:14 gaz kernel: [79916.418302] php5-cgi[20089]: segfault at 1c59dc8 ip 0000000001c59dc8 sp 00007fff9b877fb8 error 15 Mar 3 03:45:01 gaz kernel: [101143.334305] munin-update[22519] general protection ip:7f516dce204c sp:7fff6049a978 error:0 in libperl.so.5.10.1[7f516dc7d000+164000] Mar 3 11:22:37 gaz kernel: [128599.570307] php5-cgi[22888]: segfault at 36485a8 ip 00000000036485a8 sp 00007fff2d56e1c8 error 15 Mar 4 08:32:17 gaz kernel: [204779.842304] php5-cgi[22090]: segfault at 18 ip 0000000000689e5e sp 00007fff677a6a48 error 6 in php5-cgi[400000+6f9000] Mar 4 10:01:02 gaz kernel: [210104.434706] rsync[22236] general protection ip:7f14a07137f9 sp:7fff88f940b8 error:0 in libc-2.11.2.so[7f14a069d000+158000] Mar 4 11:32:22 gaz kernel: [215584.262316] BUG: unable to handle kernel paging request at 00000000ffffff9c Mar 4 11:32:22 gaz kernel: [215584.262331] IP: [<00000000ffffff9c>] 0xffffff9c Mar 4 11:32:22 gaz kernel: [215584.262343] PGD 0 Mar 4 11:32:22 gaz kernel: [215584.262350] Oops: 0010 [#2] SMP Mar 4 11:32:22 gaz kernel: [215584.262359] last sysfs file: /sys/devices/pci0000:00/0000:00:12.0/host4/target4:0:0/4:0:0:0/block/sdb/stat Mar 4 11:32:22 gaz kernel: [215584.262371] CPU 1 Mar 4 11:32:22 gaz kernel: [215584.262378] Modules linked in: cpufreq_userspace cpufreq_stats cpufreq_powersave cpufreq_conservative xt_recent xt_tcpudp iptable_nat nf_nat nf_conntrack_ipv4 nf_defrag_ipv4 ip6table_filter ip6_tables xt_DSCP xt_TCPMSS ipt_LOG ipt_REJECT iptable_mangle iptable_filter xt_multiport xt_state xt_limit xt_conntrack nf_conntrack_ftp nf_conntrack ip_tables x_tables loop snd_hda_codec_atihdmi snd_hda_intel snd_hda_codec snd_hwdep snd_pcm radeon snd_timer ttm snd drm_kms_helper soundcore drm snd_page_alloc i2c_algo_bit shpchp i2c_piix4 edac_core pcspkr k8temp evdev edac_mce_amd pci_hotplug i2c_core button ext3 jbd mbcache dm_mod powernow_k8 aacraid 3w_9xxx 3w_xxxx raid10 raid456 async_raid6_recov async_pq raid6_pq async_xor xor async_memcpy async_tx raid1 raid0 md_mod sata_nv sata_sil sata_via sd_mod crc_t10dif ata_generic ahci pata_atiixp ohci_hcd libata r8169 mii thermal ehci_hcd processor thermal_sys scsi_mod usbcore nls_base [last unloaded: scsi_wait_scan] Mar 4 11:32:22 gaz kernel: [215584.262552] Pid: 1960, comm: proxymap Tainted: G D 2.6.32-5-amd64 #1 MS-7368 Mar 4 11:32:22 gaz kernel: [215584.262563] RIP: 0010:[<00000000ffffff9c>] [<00000000ffffff9c>] 0xffffff9c Mar 4 11:32:22 gaz kernel: [215584.262573] RSP: 0018:ffff880209257e00 EFLAGS: 00010212 Mar 4 11:32:22 gaz kernel: [215584.262580] RAX: ffff8801514eb780 RBX: ffffffff810efb2d RCX: 0000000000000000 Mar 4 11:32:22 gaz kernel: [215584.262590] RDX: 0000000000000020 RSI: 0000000000000001 RDI: ffff8801514eb780 Mar 4 11:32:22 gaz kernel: [215584.262600] RBP: 00000000ffffffe9 R08: 0000000000000000 R09: 0000000000000000 Mar 4 11:32:22 gaz kernel: [215584.262611] R10: ffff880209257e78 R11: ffffffff81152c7c R12: 0000000000000001 Mar 4 11:32:22 gaz kernel: [215584.262622] R13: 0000000000008001 R14: 0000000000000024 R15: 00000000ffffff9c Mar 4 11:32:22 gaz kernel: [215584.262633] FS: 00007fca4de35700(0000) GS:ffff880008d00000(0000) knlGS:0000000000000000 Mar 4 11:32:22 gaz kernel: [215584.262644] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 Mar 4 11:32:22 gaz kernel: [215584.262650] CR2: 00000000ffffff9c CR3: 00000001c9cbb000 CR4: 00000000000006e0 Mar 4 11:32:22 gaz kernel: [215584.262661] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 Mar 4 11:32:22 gaz kernel: [215584.262671] DR3: 0000000000000000 DR6: 00000000ffff0ff0 DR7: 0000000000000400 Mar 4 11:32:22 gaz kernel: [215584.262682] Process proxymap (pid: 1960, threadinfo ffff880209256000, task ffff88021c4b1c40) Mar 4 11:32:22 gaz kernel: [215584.262693] Stack: Mar 4 11:32:22 gaz kernel: [215584.262698] ffffffff810f8566 ffff880209257e78 ffff88021c7bf000 ffff88021c7bf0c8 Mar 4 11:32:22 gaz kernel: [215584.262709] <0> 0000800000000000 ffff88021fc0f000 ffff880209257e78 00000000fffffffe Mar 4 11:32:22 gaz kernel: [215584.262724] <0> ffffffff810e5881 ffff880209257f48 0000000000000286 ffff88021fc0f000 Mar 4 11:32:22 gaz kernel: [215584.262743] Call Trace: Mar 4 11:32:22 gaz kernel: [215584.262753] [<ffffffff810f8566>] ? do_filp_open+0xa7/0x94b Mar 4 11:32:22 gaz kernel: [215584.262763] [<ffffffff810e5881>] ? virt_to_head_page+0x9/0x2a Mar 4 11:32:22 gaz kernel: [215584.262771] [<ffffffff810f9904>] ? user_path_at+0x52/0x79 Mar 4 11:32:22 gaz kernel: [215584.262779] [<ffffffff810cfec1>] ? get_unmapped_area+0xd7/0x139 Mar 4 11:32:22 gaz kernel: [215584.262787] [<ffffffff811019d5>] ? alloc_fd+0x67/0x10c Mar 4 11:32:22 gaz kernel: [215584.262795] [<ffffffff810eceaf>] ? do_sys_open+0x55/0xfc Mar 4 11:32:22 gaz kernel: [215584.262804] [<ffffffff81010b42>] ? system_call_fastpath+0x16/0x1b Mar 4 11:32:22 gaz kernel: [215584.262811] Code: Bad RIP value. Mar 4 11:32:22 gaz kernel: [215584.262819] RIP [<00000000ffffff9c>] 0xffffff9c Mar 4 11:32:22 gaz kernel: [215584.262828] RSP <ffff880209257e00> Mar 4 11:32:22 gaz kernel: [215584.262833] CR2: 00000000ffffff9c Mar 4 11:32:22 gaz kernel: [215584.263077] ---[ end trace 1cc1473b539c7f6f ]--- As you can see there are segfaults, a general protection fault and a Kernel Oops. My first guess was that there's a Hardware problem of some sort and I asked my Hoster (it's a rented root server) to do a full hardwarecheck - they did, but couldn't find any problem. I don't know what and how they checked but their support team is usually quite good. I ran memtester and cpuburn myself and couldn't find any error either. Unfortunately I have no reliable way to reproduce these segfaults, they seem to be more or less random. On a hunch I disabled the firewall of the system and ran one of the programs that segfaulted regularily (imapsync) and it seemed to take longer to segfault than before, so the problem might be related to the network stack. Or could just be a random thing. Here are the kernel specs: # uname -a Linux gaz 2.6.32-5-amd64 #1 SMP Wed Jan 12 03:40:32 UTC 2011 x86_64 GNU/Linux # cat /etc/debian_version 6.0 # lsmod Module Size Used by cpufreq_userspace 1992 0 cpufreq_stats 2659 0 cpufreq_powersave 902 0 cpufreq_conservative 5162 0 xt_recent 5977 0 xt_tcpudp 2319 0 iptable_nat 4299 0 nf_nat 13388 1 iptable_nat nf_conntrack_ipv4 9833 3 iptable_nat,nf_nat nf_defrag_ipv4 1139 1 nf_conntrack_ipv4 ip6table_filter 2384 0 ip6_tables 15075 1 ip6table_filter xt_DSCP 1995 0 xt_TCPMSS 2919 0 ipt_LOG 4518 0 ipt_REJECT 1953 0 iptable_mangle 2817 0 iptable_filter 2258 0 xt_multiport 2267 0 xt_state 1303 0 xt_limit 1782 0 xt_conntrack 2407 0 nf_conntrack_ftp 5537 0 nf_conntrack 46535 6 iptable_nat,nf_nat,nf_conntrack_ipv4,xt_state,xt_conntrack,nf_conntrack_ftp ip_tables 13899 3 iptable_nat,iptable_mangle,iptable_filter x_tables 12845 13 xt_recent,xt_tcpudp,iptable_nat,ip6_tables,xt_DSCP,xt_TCPMSS,ipt_LOG,ipt_REJECT,xt_multiport,xt_state,xt_limit,xt_conntrack,ip_tables loop 11799 0 radeon 573996 0 ttm 39986 1 radeon drm_kms_helper 20065 1 radeon snd_hda_codec_atihdmi 2251 1 drm 142359 3 radeon,ttm,drm_kms_helper snd_hda_intel 20019 0 i2c_algo_bit 4225 1 radeon pcspkr 1699 0 i2c_piix4 8328 0 snd_hda_codec 54244 2 snd_hda_codec_atihdmi,snd_hda_intel i2c_core 15712 5 radeon,drm_kms_helper,drm,i2c_algo_bit,i2c_piix4 snd_hwdep 5380 1 snd_hda_codec snd_pcm 60503 2 snd_hda_intel,snd_hda_codec snd_timer 15582 1 snd_pcm snd 46446 5 snd_hda_intel,snd_hda_codec,snd_hwdep,snd_pcm,snd_timer soundcore 4598 1 snd evdev 7352 3 snd_page_alloc 6249 2 snd_hda_intel,snd_pcm k8temp 3283 0 edac_core 29261 0 edac_mce_amd 6433 0 shpchp 26264 0 pci_hotplug 21203 1 shpchp button 4650 0 ext3 106518 2 jbd 37085 1 ext3 mbcache 5050 1 ext3 dm_mod 53754 0 powernow_k8 10978 1 aacraid 59779 0 3w_9xxx 28684 0 3w_xxxx 20569 0 raid10 17809 0 raid456 44500 0 async_raid6_recov 5170 1 raid456 async_pq 3479 2 raid456,async_raid6_recov raid6_pq 77179 2 async_raid6_recov,async_pq async_xor 2478 3 raid456,async_raid6_recov,async_pq xor 4380 1 async_xor async_memcpy 1198 2 raid456,async_raid6_recov async_tx 1734 5 raid456,async_raid6_recov,async_pq,async_xor,async_memcpy raid1 18431 3 raid0 5517 0 md_mod 73824 7 raid10,raid456,raid1,raid0 sata_nv 19166 0 sata_sil 7412 0 sata_via 7928 0 sd_mod 29889 8 crc_t10dif 1276 1 sd_mod ata_generic 3047 0 ahci 32374 6 r8169 29229 0 mii 3210 1 r8169 thermal 11674 0 pata_atiixp 3489 0 libata 133632 6 sata_nv,sata_sil,sata_via,ata_generic,ahci,pata_atiixp ohci_hcd 19212 0 ehci_hcd 31151 0 processor 29935 1 powernow_k8 thermal_sys 11942 2 thermal,processor scsi_mod 122149 5 aacraid,3w_9xxx,3w_xxxx,sd_mod,libata usbcore 122034 3 ohci_hcd,ehci_hcd nls_base 6377 1 usbcore # free total used free shared buffers cached Mem: 8166128 1228036 6938092 0 140412 782060 -/+ buffers/cache: 305564 7860564 Swap: 2102456 0 2102456 So, basically my questions are: How can I diagnose this further? Is there any data in the log above that could help me to isolate the troublemaker? Are there any known problems with the above hardware/software I overlooked when googling for it? Is there a way to prevent the kernel from autoloading modules (I probably don't need all these modules and one of them might be the culprit)

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  • iPhone SDK: Audio Queue control

    - by codemercenary
    Hi all, I am new to the audio queue services so I have taken an example from a book called iPhone Cool Projects where it describes how to stream audio. I want to extend this to being able to play a continuous playlist of links to mp3 files like an internet radio. The problem with the example code it that it does not detect when a stream ends and does not call AudioQueueStop at any point, so I added a counter to number of buffers added to the queue, and then decrement this counter each time audioQueueOutputCallback is called by the queue. This works fine except if when the buffer count goes to 0, and then I add a call AudioQueueFlush(audioQueue) and then AudioQueueStop(audioQueue, false) I get an error. If I only call AudioQueueReset, it continues to load the buffers again, but plays them out faster then it loads them... getting stuck in a loop and then crashing. 2010-04-14 13:56:29.745 AudioPlayer[2269:207] init player with URL 2010-04-14 13:56:29.941 AudioPlayer[2269:207] did recieve data 2010-04-14 13:56:29.942 AudioPlayer[2269:207] audio request didReceiveData 2010-04-14 13:56:29.944 AudioPlayer[2269:207] >>> start audio queue 2010-04-14 13:56:29.960 AudioPlayer[2269:207] packetCallback count 2 2010-04-14 13:56:29.961 AudioPlayer[2269:207] add buffer: 1 2010-04-14 13:56:29.962 AudioPlayer[2269:207] did recieve data 2010-04-14 13:56:29.963 AudioPlayer[2269:207] audio request didReceiveData 2010-04-14 13:56:29.963 AudioPlayer[2269:207] packetCallback count 1 2010-04-14 13:56:29.964 AudioPlayer[2269:207] add buffer: 2 2010-04-14 13:56:29.965 AudioPlayer[2269:207] packetCallback count 13 2010-04-14 13:56:29.967 AudioPlayer[2269:207] add buffer: 3 2010-04-14 13:56:29.968 AudioPlayer[2269:207] done with buffer: 3 2010-04-14 13:56:29.969 AudioPlayer[2269:207] done with buffer: 2 2010-04-14 13:56:29.974 AudioPlayer[2269:207] done with buffer: 1 So this loop continues some 20 - 30 times and then it crashes. The first time it plays an audio file it queues up the buffers and then plays sound, but doesn't callback to delete them until some 100 or more have been played. Can anyone explain this behavior? I read that there was a limit of 1 audio queue for MP3 playback for the iPhone. Is that still true? If not then I suppose I should use another audio queue for the next mp3 stream. I've had a look through the apple docs but it doesn't explain this in any particular detail. A better insight into this would be great. TIA.

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  • Recursive calls in Pentaho Data Integration

    - by davek
    Is it possible for a step or transformation in Pentaho Data Integration to call itself, passing the results of the previous call as parameters/variables? My first thought was to create a loop in a transformation, but they don't seem to be allowed...

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  • Get/open temp file in .NET

    - by acidzombie24
    I would like to do something like the below. What function returns me an unique file that is opened? so i can ensure it is mine and i wont overwrite anything or write a complex fn generate/loop BinaryWriter w = GetTempFile(out fn); w.close(); File.Move(fn, newFn);

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  • How to best design a date/geographic proximity query on GAE?

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    Hi all, I'm building a directory for finding athletic tournaments on GAE with web2py and a Flex front end. The user selects a location, a radius, and a maximum date from a set of choices. I have a basic version of this query implemented, but it's inefficient and slow. One way I know I can improve it is by condensing the many individual queries I'm using to assemble the objects into bulk queries. I just learned that was possible. But I'm also thinking about a more extensive redesign that utilizes memcache. The main problem is that I can't query the datastore by location because GAE won't allow multiple numerical comparison statements (<,<=,=,) in one query. I'm already using one for date, and I'd need TWO to check both latitude and longitude, so it's a no go. Currently, my algorithm looks like this: 1.) Query by date and select 2.) Use destination function from geopy's distance module to find the max and min latitude and longitudes for supplied distance 3.) Loop through results and remove all with lat/lng outside max/min 4.) Loop through again and use distance function to check exact distance, because step 2 will include some areas outside the radius. Remove results outside supplied distance (is this 2/3/4 combination inefficent?) 5.) Assemble many-to-many lists and attach to objects (this is where I need to switch to bulk operations) 6.) Return to client Here's my plan for using memcache.. let me know if I'm way out in left field on this as I have no prior experience with memcache or server caching in general. -Keep a list in the cache filled with "geo objects" that represent all my data. These have five properties: latitude, longitude, event_id, event_type (in anticipation of expanding beyond tournaments), and start_date. This list will be sorted by date. -Also keep a dict of pointers in the cache which represent the start and end indices in the cache for all the date ranges my app uses (next week, 2 weeks, month, 3 months, 6 months, year, 2 years). -Have a scheduled task that updates the pointers daily at 12am. -Add new inserts to the cache as well as the datastore; update pointers. Using this design, the algorithm would now look like: 1.) Use pointers to slice off appropriate chunk of list based on supplied date. 2-4.) Same as above algorithm, except with geo objects 5.) Use bulk operation to select full tournaments using remaining geo objects' event_ids 6.) Assemble many-to-manys 7.) Return to client Thoughts on this approach? Many thanks for reading and any advice you can give. -Dane

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  • Python - Execute Process -> Block till it exits & Supress Output

    - by Jason
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  • Mochiweb's Scalability Features

    - by ErJab
    From all the articles I've read so far about Mochiweb, I've heard this over and over again that Mochiweb provides very good scalability. My question is, how exactly does Mochiweb get its scalability property? Is it from Erlang's inherent scalability properties or does Mochiweb have any additional code that explicitly enables it to scale well? Put another way, if I were to write a simple HTTP server in Erlang myself, with a simple 'loop' (recursive function) to handle requests, would it have the same level scalability as a simple web server built using the Mochiweb framework?

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  • Zooming in an NSView

    - by jasonbogd
    Hi, I have an NSView in which the user can draw circles. These circles are stored as an array of NSBezierPaths, and in drawRect:, I loop through the array and call -stroke on each of the paths. How do I add a button to zoom in and out the NSView? Just change the bounds of the view? Thanks.

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  • Need help implementing simple socket server using GIOService (GLib, Glib-GIO)

    - by Mark Renouf
    I'm learning the basics of writing a simple, efficient socket server using GLib. I'm experimenting with GSocketService. So far I can only seem to accept connections but then they are immediately closed. From the docs I can't figure out what step I am missing. I'm hoping someone can shed some light on this for me. When running the following: # telnet localhost 4000 Trying 127.0.0.1... Connected to localhost. Escape character is '^]'. Connection closed by foreign host. # telnet localhost 4000 Trying 127.0.0.1... Connected to localhost. Escape character is '^]'. Connection closed by foreign host. # telnet localhost 4000 Trying 127.0.0.1... Connected to localhost. Escape character is '^]'. Connection closed by foreign host. Output from the server: # ./server New Connection from 127.0.0.1:36962 New Connection from 127.0.0.1:36963 New Connection from 127.0.0.1:36965 Current code: /* * server.c * * Created on: Mar 10, 2010 * Author: mark */ #include <glib.h> #include <gio/gio.h> gchar *buffer; gboolean network_read(GIOChannel *source, GIOCondition cond, gpointer data) { GString *s = g_string_new(NULL); GError *error; GIOStatus ret = g_io_channel_read_line_string(source, s, NULL, &error); if (ret == G_IO_STATUS_ERROR) g_error ("Error reading: %s\n", error->message); else g_print("Got: %s\n", s->str); } gboolean new_connection(GSocketService *service, GSocketConnection *connection, GObject *source_object, gpointer user_data) { GSocketAddress *sockaddr = g_socket_connection_get_remote_address(connection, NULL); GInetAddress *addr = g_inet_socket_address_get_address(G_INET_SOCKET_ADDRESS(sockaddr)); guint16 port = g_inet_socket_address_get_port(G_INET_SOCKET_ADDRESS(sockaddr)); g_print("New Connection from %s:%d\n", g_inet_address_to_string(addr), port); GSocket *socket = g_socket_connection_get_socket(connection); gint fd = g_socket_get_fd(socket); GIOChannel *channel = g_io_channel_unix_new(fd); g_io_add_watch(channel, G_IO_IN, (GIOFunc) network_read, NULL); return TRUE; } int main(int argc, char **argv) { g_type_init(); GSocketService *service = g_socket_service_new(); GInetAddress *address = g_inet_address_new_from_string("127.0.0.1"); GSocketAddress *socket_address = g_inet_socket_address_new(address, 4000); g_socket_listener_add_address(G_SOCKET_LISTENER(service), socket_address, G_SOCKET_TYPE_STREAM, G_SOCKET_PROTOCOL_TCP, NULL, NULL, NULL); g_object_unref(socket_address); g_object_unref(address); g_socket_service_start(service); g_signal_connect(service, "incoming", G_CALLBACK(new_connection), NULL); GMainLoop *loop = g_main_loop_new(NULL, FALSE); g_main_loop_run(loop); }

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  • Sequence reduction in R

    - by drknexus
    Assume you have a vector like so: v <- c(1,1,1,2,2,2,2,1,1,3,3,3,3) How can it be best reduced to a data.frame like this? v.df <- data.frame(value=c(1,2,1,3),repetitions=c(3,4,2,4)) In a procedural language I might just iterate through a loop and build the data.frame as I go, but with a large dataset in R such an approach is inefficient. Any advice?

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  • Problem with Google App Engine Appstats

    - by Taylor L
    I'm having an issue getting Appstats to work correctly. Using /appstats or /appstats/stats ends up in an infinite loop that keeps redirecting back to /appstats/stats. This results in a 404 error saying the page isn't redirecting properly. Any idea what the issue is? Here are the relevant lines in my appengine-web.xml. I've tried using both /appstats/stats and /appstats and they both have the same issue. <admin-console> <page name="Appstats" url="/appstats/stats" /> </admin-console> Below are the http headers showing the infinite redirect loop: http://mysite.appspot.com/appstats/stats GET /appstats/stats HTTP/1.1 Host: mysite.appspot.com User-Agent: Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US; rv: 1.9.2.3) Gecko/20100401 Firefox/3.6.3 (.NET CLR 3.5.30729) Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/ *;q=0.8 Accept-Language: en-us,en;q=0.5 Accept-Encoding: gzip,deflate Accept-Charset: ISO-8859-1,utf-8;q=0.7,*;q=0.7 Keep-Alive: 115 Connection: keep-alive Cookie: USER_LOCALE=en_US; JSESSIONID=POTIUPPpEmjHZoaNDWOSTA; ACSID=AJKiYcHiwT8jH7e01V9O5iFu3kpBhDd3k3oBwwxylv5u0DbJ- utvdpsgdb4Xim2WXwobkJmgTGGljvuh94_yVQ__- VPnBsTtUAhRjSyZ2Lv3G7oUHAxTsCWHJIMChGT3- XUyUNx8wxwvJisL_RTXH8Hc4TTLh_rVHm2k8gk8kgdbVZXexSV0K- a3coELTecWIBolt0qLd5L-5vALm382KsqbHorPXqoZMPTvR_06g_mR1cbmF2Ihnk6YhP7no58BNpESM9HvFyKNKXODo39hF4oaZCcW0Q9TBqUMgsrBqlcIh3- VvC7qvH0n_nAtrLTBbK_swnOFvCDcaf3whT9ty0CJ0VRNuNqIPOLHIeQAMgwXUNMr89P64EsgmuyONHR67glCQXEPOGXIaT1vcBJFwFoeNUqjdp824fHvoVhaL7Xlav- LTIFuM3f_ymHLmibk57PRuXUYEaAG HTTP/1.1 302 Found Location: http://mysite.appspot.com/appstats/stats X-AppEngine-Estimated-CPM-US-Dollars: $0.645553 X-AppEngine-Resource-Usage: ms=18965 cpu_ms=27884 api_cpu_ms=0 Set-Cookie: ACSID=AJKiYcF_YA7PB18b3T5OO7vEMo31f1hFhO8xKqFRiBUGrCr4YABAAyugZXcDfKMOM- r0FiK8xlOPfQWx3tOWIJ6ueOqK89X8M9YfHIs8WKUcSs6PwNZSKV0HKxvbqeWxfZI_cpo2YoS73s_RPlyEvjaYLOf6iXPpWeYyKTAbSqPOEBnVnTk3oso6ur66CIj3FnN8vsHfbanqY4sbaRsNj9pLjWZco0quYLOK1fd4wRZx_oAvk3jOlfAj7BZ7p9L1bO8oVCMpVn19cwT6zvO2-9RSjfiOPAacw7Cg0MT30r7Fr7SCj7VcSPAye4lc7tb9KL9ztZEk0xbEX-9vC6vHM_VfPJ54Kb_FycxE6lACsKTE4hj0bOa2-2quaOP0NSxfoH9ozLlQQCsGhpWBnlu__W06D0GqDqxcDUu2HocYqWuLi91aoa- aRTkqB_qo4aAa3OvHeKoFgwrS; expires=Mon, 12-Apr-2010 19:41:49 GMT; path=/ Date: Sun, 11 Apr 2010 19:42:08 GMT Pragma: no-cache Expires: Fri, 01 Jan 1990 00:00:00 GMT Cache-Control: no-cache, must-revalidate Content-Type: text/html Server: Google Frontend Content-Length: 0 ---------------------------------------------------------- http://mysite.appspot.com/appstats/stats GET /appstats/stats HTTP/1.1 Host: mysite.appspot.com User-Agent: Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US; rv: 1.9.2.3) Gecko/20100401 Firefox/3.6.3 (.NET CLR 3.5.30729) Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/ *;q=0.8 Accept-Language: en-us,en;q=0.5 Accept-Encoding: gzip,deflate Accept-Charset: ISO-8859-1,utf-8;q=0.7,*;q=0.7 Keep-Alive: 115 Connection: keep-alive Cookie: USER_LOCALE=en_US; JSESSIONID=POTIUPPpEmjHZoaNDWOSTA; ACSID=AJKiYcF_YA7PB18b3T5OO7vEMo31f1hFhO8xKqFRiBUGrCr4YABAAyugZXcDfKMOM- r0FiK8xlOPfQWx3tOWIJ6ueOqK89X8M9YfHIs8WKUcSs6PwNZSKV0HKxvbqeWxfZI_cpo2YoS73s_RPlyEvjaYLOf6iXPpWeYyKTAbSqPOEBnVnTk3oso6ur66CIj3FnN8vsHfbanqY4sbaRsNj9pLjWZco0quYLOK1fd4wRZx_oAvk3jOlfAj7BZ7p9L1bO8oVCMpVn19cwT6zvO2-9RSjfiOPAacw7Cg0MT30r7Fr7SCj7VcSPAye4lc7tb9KL9ztZEk0xbEX-9vC6vHM_VfPJ54Kb_FycxE6lACsKTE4hj0bOa2-2quaOP0NSxfoH9ozLlQQCsGhpWBnlu__W06D0GqDqxcDUu2HocYqWuLi91aoa- aRTkqB_qo4aAa3OvHeKoFgwrS HTTP/1.1 302 Found Location: http://mysite.appspot.com/appstats/stats X-AppEngine-Estimated-CPM-US-Dollars: $0.002243 X-AppEngine-Resource-Usage: ms=64 cpu_ms=93 api_cpu_ms=0 Date: Sun, 11 Apr 2010 19:42:08 GMT Content-Type: text/html Server: Google Frontend Content-Length: 0

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  • Slow performance when utilizing Interop.DSOFile to search files by Custom Document Property

    - by Gradatc
    I am new to the world of VB.NET and have been tasked to put together a little program to search a directory of about 2000 Excel spreadsheets and put together a list to display based on the value of a Custom Document Property within that spreadsheet file. Given that I am far from a computer programmer by education or trade, this has been an adventure. I've gotten it to work, the results are fine. The problem is, it takes well over a minute to run. It is being run over a LAN connection. When I run it locally (using a 'test' directory of about 300 files) it executes in about 4 seconds. I'm not sure even what to expect as a reasonable execution speed, so I thought I would ask here. The code is below, if anyone thinks changes there might be of use in speeding things up. Thank you in advance! Private Sub listByPt() Dim di As New IO.DirectoryInfo(dir_loc) Dim aryFiles As IO.FileInfo() = di.GetFiles("*" & ext_to_check) Dim fi As IO.FileInfo Dim dso As DSOFile.OleDocumentProperties Dim sfilename As String Dim sheetInfo As Object Dim sfileCount As String Dim ifilesDone As Integer Dim errorList As New ArrayList() Dim ErrorFile As Object Dim ErrorMessage As String 'Initialize progress bar values ifilesDone = 0 sfileCount = di.GetFiles("*" & ext_to_check).Length Me.lblHighProgress.Text = sfileCount Me.lblLowProgress.Text = 0 With Me.progressMain .Maximum = di.GetFiles("*" & ext_to_check).Length .Minimum = 0 .Value = 0 End With 'Loop through all files in the search directory For Each fi In aryFiles dso = New DSOFile.OleDocumentProperties sfilename = fi.FullName Try dso.Open(sfilename, True) 'grab the PT Initials off of the logsheet Catch excep As Runtime.InteropServices.COMException errorList.Add(sfilename) End Try Try sheetInfo = dso.CustomProperties("PTNameChecker").Value Catch ex As Runtime.InteropServices.COMException sheetInfo = "NONE" End Try 'Check to see if the initials on the log sheet 'match those we are searching for If sheetInfo = lstInitials.SelectedValue Then Dim logsheet As New LogSheet logsheet.PTInitials = sheetInfo logsheet.FileName = sfilename PTFiles.Add(logsheet) End If 'update progress bar Me.progressMain.Increment(1) ifilesDone = ifilesDone + 1 lblLowProgress.Text = ifilesDone dso.Close() Next lstResults.Items.Clear() 'loop through results in the PTFiles list 'add results to the listbox, removing the path info For Each showsheet As LogSheet In PTFiles lstResults.Items.Add(Path.GetFileNameWithoutExtension(showsheet.FileName)) Next 'build error message to display to user ErrorMessage = "" For Each ErrorFile In errorList ErrorMessage += ErrorFile & vbCrLf Next MsgBox("The following Log Sheets were unable to be checked" _ & vbCrLf & ErrorMessage) PTFiles.Clear() 'empty PTFiles for next use End Sub

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  • timeIntervalSinceDate Accuracy

    - by mmccomb
    I've been working on a game with an engine that updates 20 times per seconds. I've got to point now where I want to start getting some performance figures and tweak the rendering and logic updates. In order to do so I started to add some timing code to my game loop, implemented as follows... NSDate* startTime = [NSDate date]; // Game update logic here.... // Also timing of smaller internal events NSDate* endTime = [NSDate date]; [endTime timeIntervalSinceDate:startTime]; I noticed however that when I timed blocks within the outer timing logic that the time they took to execute did not sum up to match the overall time taken. So I wrote a small unit test to demonstrate the problem in which I time the overall time taken to complete the test and then 10 smaller events, here it is... - (void)testThatSumOfTimingsMatchesOverallTiming { NSDate* startOfOverallTime = [NSDate date]; // Variable to hold summation of smaller timing events in the upcoming loop... float sumOfIndividualTimes = 0.0; NSTimeInterval times[10] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; for (int i = 0; i < 10; i++) { NSDate* startOfIndividualTime = [NSDate date]; // Kill some time... sleep(1); NSDate* endOfIndividualTime = [NSDate date]; times[i] = [endOfIndividualTime timeIntervalSinceDate:startOfIndividualTime]; sumOfIndividualTimes += times[i]; } NSDate* endOfOverallTime = [NSDate date]; NSTimeInterval overallTimeTaken = [endOfOverallTime timeIntervalSinceDate:startOfOverallTime]; NSLog(@"Sum of individual times: %fms", sumOfIndividualTimes); NSLog(@"Overall time: %fms", overallTimeTaken); STAssertFalse(TRUE, @""); } And here's the output... Sum of individual times: 10.001377ms Overall time: 10.016834ms Which illustrates my problem quite clearly. The overall time was 0.000012ms but the smaller events took only 0.000001ms. So what happened to the other 0.000011ms? Is there anything that looks particularly wrong with my code? Or is there an alternative timing mechanism I should use?

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  • Problem with displaying and downloading email attachments using the zend framework

    - by Ali
    Hi guys I'm trying to display emails in my inbox and their respective attachments. At the same time I also wish to be able to download the attachments however I'm kinda stuck here. Here is the code I use to display the attachments: $one_message = $mail->getMessage($i); $one_message->id = $i; $one_message->UID = $mail->getUniqueId($i); // get the contact of this message $email = array_pop(extract_emails_from($one_message->from)); $one_message->contactFrom = $contact_manager->get_person_from_email($email); $one_message->parts = array(); foreach (new RecursiveIteratorIterator($mail->getMessage($i)) as $ii=>$part) { try { $tpart = $part; $one_message->parts[$ii] = $tpart; // put the part of the message indexed with what I assume is its position if (strtok($part->contentType, ';') == 'text/html') { $b = $part->getContent(); $h2t->set_html($b); $one_message->body = $h2t->get_text(); } if (strtok($part->contentType, ';') == 'text/plain') { $b = $part->getContent(); $one_message->body = $part->getContent(); } } catch (Zend_Mail_Exception $e) { // ignore } } And I display the attachments using the following link: ?action=download&element=email-attachment&box=inbox&uid=<?php echo $one_message->UID;?>&id=<?php echo $one_message->id;?>&part=<?php echo $ii;?> The part variable is the index taken from the loop above However when I try to download using the exact same code as above modified slightly: $id = $_GET['id']; $pid = $_GET['part']; $one_message = $mail->getMessage($id); foreach (new RecursiveIteratorIterator($mail->getMessage($id)) as $ii=>$part) { if($pid == $ii): $content = base64_decode($part->getContent()); $cnt_typ = explode(";" , $part->contentType); $name = explode("=",$cnt_typ[1]); $filename = $name[1];//It is the file name of the attachement in browser //This for avoiding " from the file name when sent from yahoomail $filename = str_replace('"'," ",$filename); $filename = trim($filename); header("Cache-Control: public"); header("Content-Type: ".$cn_typ[1]); header("Content-Disposition: attachment; filename=\"" . $filename . "\""); header("Content-Transfer-Encoding: binary"); echo $content; exit; endif; } For some reason it doesn't work at all. I did a var dump and noticed that in the for loop with the reverseiterator teh indexes $ii returned are 1 - 2 - 2 !! Whats going on here how can the indexes be repeated? How can I tell one part from the others?

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  • .NET string replace russian to english

    - by Fabio Beoni
    I have a strange problem replacing chars in string... I read a .txt file containing russian text, and starting from a list of letters russian to english (ru=en), I loop the list and I WOULD like to replace russian characters with english characters. The problem is: I can see in the debug the right reading of the russian and the right reading of the english, but using myWord = myWord.Replace(ruChar, enChar), the string is not replaced. My txt file is a UTF-8 encoding.

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  • Inverse Kinematics with OpenGL/Eigen3 : unstable jacobian pseudoinverse

    - by SigTerm
    I'm trying to implement simple inverse kinematics test using OpenGL, Eigen3 and "jacobian pseudoinverse" method. The system works fine using "jacobian transpose" algorithm, however, as soon as I attempt to use "pseudoinverse", joints become unstable and start jerking around (eventually they freeze completely - unless I use "jacobian transpose" fallback computation). I've investigated the issue and turns out that in some cases jacobian.inverse()*jacobian has zero determinant and cannot be inverted. However, I've seen other demos on the internet (youtube) that claim to use same method and they do not seem to have this problem. So I'm uncertain where is the cause of the issue. Code is attached below: *.h: struct Ik{ float targetAngle; float ikLength; VectorXf angles; Vector3f root, target; Vector3f jointPos(int ikIndex); size_t size() const; Vector3f getEndPos(int index, const VectorXf& vec); void resize(size_t size); void update(float t); void render(); Ik(): targetAngle(0), ikLength(10){ } }; *.cpp: size_t Ik::size() const{ return angles.rows(); } Vector3f Ik::getEndPos(int index, const VectorXf& vec){ Vector3f pos(0, 0, 0); while(true){ Eigen::Affine3f t; float radAngle = pi*vec[index]/180.0f; t = Eigen::AngleAxisf(radAngle, Vector3f(-1, 0, 0)) * Eigen::Translation3f(Vector3f(0, 0, ikLength)); pos = t * pos; if (index == 0) break; index--; } return pos; } void Ik::resize(size_t size){ angles.resize(size); angles.setZero(); } void drawMarker(Vector3f p){ glBegin(GL_LINES); glVertex3f(p[0]-1, p[1], p[2]); glVertex3f(p[0]+1, p[1], p[2]); glVertex3f(p[0], p[1]-1, p[2]); glVertex3f(p[0], p[1]+1, p[2]); glVertex3f(p[0], p[1], p[2]-1); glVertex3f(p[0], p[1], p[2]+1); glEnd(); } void drawIkArm(float length){ glBegin(GL_LINES); float f = 0.25f; glVertex3f(0, 0, length); glVertex3f(-f, -f, 0); glVertex3f(0, 0, length); glVertex3f(f, -f, 0); glVertex3f(0, 0, length); glVertex3f(f, f, 0); glVertex3f(0, 0, length); glVertex3f(-f, f, 0); glEnd(); glBegin(GL_LINE_LOOP); glVertex3f(f, f, 0); glVertex3f(-f, f, 0); glVertex3f(-f, -f, 0); glVertex3f(f, -f, 0); glEnd(); } void Ik::update(float t){ targetAngle += t * pi*2.0f/10.0f; while (t > pi*2.0f) t -= pi*2.0f; target << 0, 8 + 3*sinf(targetAngle), cosf(targetAngle)*4.0f+5.0f; Vector3f tmpTarget = target; Vector3f targetDiff = tmpTarget - root; float l = targetDiff.norm(); float maxLen = ikLength*(float)angles.size() - 0.01f; if (l > maxLen){ targetDiff *= maxLen/l; l = targetDiff.norm(); tmpTarget = root + targetDiff; } Vector3f endPos = getEndPos(size()-1, angles); Vector3f diff = tmpTarget - endPos; float maxAngle = 360.0f/(float)angles.size(); for(int loop = 0; loop < 1; loop++){ MatrixXf jacobian(diff.rows(), angles.rows()); jacobian.setZero(); float step = 1.0f; for (int i = 0; i < angles.size(); i++){ Vector3f curRoot = root; if (i) curRoot = getEndPos(i-1, angles); Vector3f axis(1, 0, 0); Vector3f n = endPos - curRoot; float l = n.norm(); if (l) n /= l; n = n.cross(axis); if (l) n *= l*step*pi/180.0f; //std::cout << n << "\n"; for (int j = 0; j < 3; j++) jacobian(j, i) = n[j]; } std::cout << jacobian << std::endl; MatrixXf jjt = jacobian.transpose()*jacobian; //std::cout << jjt << std::endl; float d = jjt.determinant(); MatrixXf invJ; float scale = 0.1f; if (!d /*|| true*/){ invJ = jacobian.transpose(); scale = 5.0f; std::cout << "fallback to jacobian transpose!\n"; } else{ invJ = jjt.inverse()*jacobian.transpose(); std::cout << "jacobian pseudo-inverse!\n"; } //std::cout << invJ << std::endl; VectorXf add = invJ*diff*step*scale; //std::cout << add << std::endl; float maxSpeed = 15.0f; for (int i = 0; i < add.size(); i++){ float& cur = add[i]; cur = std::max(-maxSpeed, std::min(maxSpeed, cur)); } angles += add; for (int i = 0; i < angles.size(); i++){ float& cur = angles[i]; if (i) cur = std::max(-maxAngle, std::min(maxAngle, cur)); } } } void Ik::render(){ glPushMatrix(); glTranslatef(root[0], root[1], root[2]); for (int i = 0; i < angles.size(); i++){ glRotatef(angles[i], -1, 0, 0); drawIkArm(ikLength); glTranslatef(0, 0, ikLength); } glPopMatrix(); drawMarker(target); for (int i = 0; i < angles.size(); i++) drawMarker(getEndPos(i, angles)); } Any help will be appreciated.

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