What does $INSIDE_EMACS do for bash - bash

I saw here that bash 4.4 looks for the variable $INSIDE_EMACS to determine if it is running in a comint mode buffer. However I can't seem to find what this changes about bash behavior. What changes does $INSIDE_EMACS make?


According to emacs doc:
Emacs sets the environment variable INSIDE_EMACS in the subshell to version,comint, where version is the Emacs version (e.g., 24.1). Programs can check this variable to determine whether they are running inside an Emacs subshell.
Took a look at bash's source code and there's no much magic:
575 /*
576 * M-x term -> TERM=eterm-color INSIDE_EMACS='251,term:0.96' (eterm)
577 * M-x shell -> TERM='dumb' INSIDE_EMACS='25.1,comint' (no line editing)
578 *
579 * Older versions of Emacs may set EMACS to 't' or to something like
580 * '22.1 (term:0.96)' instead of (or in addition to) setting INSIDE_EMACS.
581 * They may set TERM to 'eterm' instead of 'eterm-color'. They may have
582 * a now-obsolete command that sets neither EMACS nor INSIDE_EMACS:
583 * M-x terminal -> TERM='emacs-em7955' (line editing)
584 */
585 if (interactive_shell)
586 {
587 char *term, *emacs, *inside_emacs;;
588 int emacs_term, in_emacs;
589
590 term = get_string_value ("TERM");
591 emacs = get_string_value ("EMACS");
592 inside_emacs = get_string_value ("INSIDE_EMACS");
593
594 if (inside_emacs)
595 {
596 emacs_term = strstr (inside_emacs, ",term:") != 0;
597 in_emacs = 1;
598 }
599 else if (emacs)
600 {
601 /* Infer whether we are in an older Emacs. */
602 emacs_term = strstr (emacs, " (term:") != 0;
603 in_emacs = emacs_term || STREQ (emacs, "t");
604 }
605 else
606 in_emacs = emacs_term = 0;
607
608 /* Not sure any emacs terminal emulator sets TERM=emacs any more */
609 no_line_editing |= STREQ (term, "emacs");
610 no_line_editing |= in_emacs && STREQ (term, "dumb");
611
612 /* running_under_emacs == 2 for `eterm' */
613 running_under_emacs = in_emacs || STREQN (term, "emacs", 5);
614 running_under_emacs += emacs_term && STREQN (term, "eterm", 5);
615
616 if (running_under_emacs)
617 gnu_error_format = 1;
618 }
UPDATE:
Just found the original request (in bug-bash mailing list) for bash to deal with INSIDE_EMACS: Bash should look at INSIDE_EMACS not just EMACS


At the very least, it causes bash to disable line editing, since presumably you will be using emacs's own editing facilities to edit a command line.

Related

Get C function name by keyword

As below C sample, Is any shell command could get/parsing founction
name based on insided keyword.
such as below C, then
$ foo netif_carrier_on
then output
mii_check_link
484 void mii_check_link (struct mii_if_info *mii)
485 {
486 int cur_link = mii_link_ok(mii);
487 int prev_link = netif_carrier_ok(mii->dev);
488
489 if (cur_link && !prev_link)
490 netif_carrier_on(mii->dev);
491 else if (prev_link && !cur_link)
492 netif_carrier_off(mii->dev);
493 }

Jupyter notebook Conda error running MoviePy code

On my macOS v 10.11.6, I got an error running moviepy on jupyter notebook
Python v 3.5.2
Conda v 4.3.8
Jupyter 4.2.1
I'm importing and running a simple cell:
from moviepy.editor import VideoFileClip
from IPython.display import HTML
new_clip_output = 'test_output.mp4'
test_clip = VideoFileClip("test.mp4")
new_clip = test_clip.fl_image(lambda x: cv2.cvtColor(x, cv2.COLOR_RGB2YUV)) #NOTE: this function expects color images!!
%time new_clip.write_videofile(new_clip_output, audio=False)
The error is:
TypeError Traceback (most recent call last)
<ipython-input-8-27aee53c99d8> in <module>()
1 new_clip_output = 'test_output.mp4'
--> 2 test_clip = VideoFileClip("test.mp4")
3 new_clip = test_clip.fl_image(lambda x: cv2.cvtColor(x, cv2.COLOR_RGB2YUV)) #NOTE: this function expects color images!!
4 get_ipython().magic('time new_clip.write_videofile(new_clip_output, audio=False)')
/Users/<username>/anaconda3/envs/carnd-term1/lib/python3.5/site-packages/moviepy/video/io/VideoFileClip.py in __init__(self, filename, has_mask, audio, audio_buffersize, audio_fps, audio_nbytes, verbose)
80 buffersize= audio_buffersize,
81 fps = audio_fps,
--> 82 nbytes = audio_nbytes)
83
84 def __del__(self):
/Users/<username>/anaconda3/envs/carnd-term1/lib/python3.5/site-packages/moviepy/audio/io/AudioFileClip.py in __init__(self, filename, buffersize, nbytes, fps)
61 self.filename = filename
62 reader = FFMPEG_AudioReader(filename,fps=fps,nbytes=nbytes,
--> 63 buffersize=buffersize)
64
65 self.reader = reader
/Users/<username>/anaconda3/envs/carnd-term1/lib/python3.5/site-packages/moviepy/audio/io/readers.py in __init__(self, filename, buffersize, print_infos, fps, nbytes, nchannels)
68 self.buffer_startframe = 1
69 self.initialize()
--> 70 self.buffer_around(1)
71
72
/Users/<username>/anaconda3/envs/carnd-term1/lib/python3.5/site-packages/moviepy/audio/io/readers.py in buffer_around(self, framenumber)
232 else:
233 self.seek(new_bufferstart)
--> 234 self.buffer = self.read_chunk(self.buffersize)
235
236 self.buffer_startframe = new_bufferstart
/Users/<username>/anaconda3/envs/carnd-term1/lib/python3.5/site-packages/moviepy/audio/io/readers.py in read_chunk(self, chunksize)
121 result = (1.0*result / 2**(8*self.nbytes-1)).\
122 reshape((len(result)/self.nchannels,
--> 123 self.nchannels))
124 #self.proc.stdout.flush()
125 self.pos = self.pos+chunksize
TypeError: 'float' object cannot be interpreted as an integer
Is it because of some conflict in versions of various libraries?

stoll function(c++11 string) giving ambiguous output

I encountered this problem :
https://www.urionlinejudge.com.br/judge/en/problems/view/1193
/*input
3
101 bin
101 dec
8f hex
*/
/*************************************************************
* Purpose : https://www.urionlinejudge.com.br/judge/en/problems/view/1193
* Author: Sahil Arora
* Version: 1.0
* Date: 22/10/15
* Bugs : None
*************************************************************/
#include<bits/stdc++.h>
using namespace std;
int main(int argc, char const *argv[])
{
/* code */
std::ios_base::sync_with_stdio(false);
int test;
cin>>test;
for(int i=1;i<=test;++i){
cout<<"Case "<<i<<":\n";
string str,base;
long long num,j;
cin>>str>>base;
if(base=="dec"){
num = stoll(str,nullptr);
cout<<hex<<num<<" hex\n";
bitset<32> bin(num);
for(j=31;bin[j]==0 && j>=0;--j)
;
while(j>=0)
cout<<bin[j--];
cout<<" bin\n\n";
}
else if(base=="hex"){
str = "0x" + str;
num = stoll(str,nullptr,16);
cout<<dec<<num<<" dec\n"; // <--focus on this line
bitset<32> bin(num);
for(j=31;bin[j]==0 && j>=0;--j)
;
while(j>=0)
cout<<bin[j--];
cout<<" bin\n\n";
}
else{
num = stoll(str,nullptr,2);
cout<<dec<<num<<" dec\n"<<hex<<num<<" hex\n\n";
}
}
return 0;
}
Now on changing line 45 to :
cout<<num<<" dec\n";
My output for hex changes. It gives the same output as input for hex to dec.I fail to understand why it gives such an error. Also, if I enter only 1 test case, it gives correct output for a hex, but still gives 20% Wrong answer on submission!
Input :
3
101 bin
101 dec
8f hex
Expected output :
Case 1:
5 dec
5 hex
Case 2:
65 hex
1100101 bin
Case 3:
143 dec
10001111 bin
My Output without using dec in cout :
Case 1:
5 dec
5 hex
Case 2:
65 hex
1100101 bin
Case 3:
8f dec
10001111 bin

I believe your program behavior is expectional and has nothing to do with stoll itself.
So, std::hex, std::dec (and std::oct) are manipulators that modify output base. Once applied they will not reset (this changes them from std::setw for example). That is why you should reapply manipulators every time you want to change output base.
So you just have to write
std::cout<<std::dec<<num<<" dec\n";
because you may have applied
std::cout<<std::hex<<num<<" hex\n";
earlier

Can't get Theano to link against CUDNN on OSX

After a big battle I was finally able to get Theano to use the GPU in OSX.
But now, I've tried everything I can remember and Theano still can't use CuDNN.
I installed CUDA version 7 and CUDNN version 3.
I tried copying the libraries to /usr/local/cuda/lib and also to /usr/local/cuda/lib64, the include file was copied to /usr/local/cuda/include
My .theanorc is
[global]
floatX = float32
device = gpu
force_device = True
allow_gc = False
optimizer_including=cudnn
# warn_float64 = warn
# openmp = True
[nvcc]
fastmath = True
flags = -L/Users/morgado/anaconda/lib/
[cuda]
root = /usr/local/cuda
[gcc]
cxxflags = -L/usr/local/cuda/lib64
And my .profile has the relevant parts:
# CUDA
CUDA_ROOT=/usr/local/cuda
export PATH=$CUDA_ROOT/bin:$PATH
export DYLD_LIBRARY_PATH=$CUDA_ROOT/lib:$DYLD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_ROOT/lib:$CUDA_ROOT/lib64:$LD_LIBRARY_PATH
But still when I try to get Theano to use CUDNN the further I get (with the files in lib64) gives me the error:
Using gpu device 0: GeForce GT 750M
1 #include <Python.h>
2 #include <iostream>
3 #include "cudnn.h"
4 //////////////////////
5 //// Support Code
6 //////////////////////
7
8 #if PY_MAJOR_VERSION >= 3
9 #define PyInt_FromLong PyLong_FromLong
10 #endif
11
12
13 namespace {
14 struct __struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715 {
15 PyObject* __ERROR;
16
17 PyObject* storage_V1;
18
19
20 __struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715() {}
21 ~__struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715(void) {
22 cleanup();
23 }
24
25 int init(PyObject* __ERROR, PyObject* storage_V1) {
26 Py_XINCREF(storage_V1);
27 this->storage_V1 = storage_V1;
28
29
30
31 this->__ERROR = __ERROR;
32 return 0;
33 }
34 void cleanup(void) {
35 __label_1:
36
37 double __DUMMY_1;
38 __label_4:
39
40 double __DUMMY_4;
41
42 Py_XDECREF(this->storage_V1);
43 }
44 int run(void) {
45 int __failure = 0;
46
47 PyObject* py_V1;
48
49 PyObject* V1;
50
51 {
52
53 py_V1 = Py_None;
54 {Py_XINCREF(py_V1);}
55
56 V1 = NULL;
57
58 {
59 // Op class DnnVersion
60
61 #if defined(CUDNN_VERSION)
62 V1 = PyTuple_Pack(2, PyInt_FromLong(CUDNN_VERSION), PyInt_FromLong(cudnnGetVersion()));
63 #else
64 V1 = PyInt_FromLong(-1);
65 #endif
66 __label_3:
67
68 double __DUMMY_3;
69
70 }
71 __label_2:
72
73 if (!__failure) {
74
75 assert(py_V1->ob_refcnt > 1);
76 Py_DECREF(py_V1);
77 py_V1 = V1 ? V1 : Py_None;
78 Py_INCREF(py_V1);
79
80 PyObject* old = PyList_GET_ITEM(storage_V1, 0);
81 {Py_XINCREF(py_V1);}
82 PyList_SET_ITEM(storage_V1, 0, py_V1);
83 {Py_XDECREF(old);}
84 }
85
86 Py_XDECREF(V1);
87
88 {Py_XDECREF(py_V1);}
89
90 double __DUMMY_2;
91
92 }
93
94
95 if (__failure) {
96 // When there is a failure, this code puts the exception
97 // in __ERROR.
98 PyObject* err_type = NULL;
99 PyObject* err_msg = NULL;
100 PyObject* err_traceback = NULL;
101 PyErr_Fetch(&err_type, &err_msg, &err_traceback);
102 if (!err_type) {err_type = Py_None;Py_INCREF(Py_None);}
103 if (!err_msg) {err_msg = Py_None; Py_INCREF(Py_None);}
104 if (!err_traceback) {err_traceback = Py_None; Py_INCREF(Py_None);}
105 PyObject* old_err_type = PyList_GET_ITEM(__ERROR, 0);
106 PyObject* old_err_msg = PyList_GET_ITEM(__ERROR, 1);
107 PyObject* old_err_traceback = PyList_GET_ITEM(__ERROR, 2);
108 PyList_SET_ITEM(__ERROR, 0, err_type);
109 PyList_SET_ITEM(__ERROR, 1, err_msg);
110 PyList_SET_ITEM(__ERROR, 2, err_traceback);
111 {Py_XDECREF(old_err_type);}
112 {Py_XDECREF(old_err_msg);}
113 {Py_XDECREF(old_err_traceback);}
114 }
115 // The failure code is returned to index what code block failed.
116 return __failure;
117
118 }
119 };
120 }
121
122
123 static int __struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715_executor(__struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715 *self) {
124 return self->run();
125 }
126
127 static void __struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715_destructor(PyObject *capsule) {
128 __struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715 *self = (__struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715 *)PyCapsule_GetContext(capsule);
129 delete self;
130 }
131
132 //////////////////////
133 //// Functions
134 //////////////////////
135 static PyObject * instantiate(PyObject * self, PyObject *argtuple) {
136 assert(PyTuple_Check(argtuple));
137 if (2 != PyTuple_Size(argtuple)){
138 PyErr_Format(PyExc_TypeError, "Wrong number of arguments, expected 2, got %i", (int)PyTuple_Size(argtuple));
139 return NULL;
140 }
141 __struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715* struct_ptr = new __struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715();
142 if (struct_ptr->init( PyTuple_GET_ITEM(argtuple, 0),PyTuple_GET_ITEM(argtuple, 1) ) != 0) {
143 delete struct_ptr;
144 return NULL;
145 }
146 PyObject* thunk = PyCapsule_New((void*)(&__struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715_executor), NULL, __struct_compiled_op_m086964a2c5561b842ea4c5d4a203a715_destructor);
147 if (thunk != NULL && PyCapsule_SetContext(thunk, struct_ptr) != 0) {
148 PyErr_Clear();
149 Py_DECREF(thunk);
150 thunk = NULL;
151 }
152
153 return thunk; }
154
155 //////////////////////
156 //// Module init
157 //////////////////////
158 static PyMethodDef MyMethods[] = {
159 {"instantiate", instantiate, METH_VARARGS, "undocumented"} ,
160 {NULL, NULL, 0, NULL}
161 };
162 static struct PyModuleDef moduledef = {
163 PyModuleDef_HEAD_INIT,
164 "m086964a2c5561b842ea4c5d4a203a715",
165 NULL,
166 -1,
167 MyMethods,
168 };
169
170 PyMODINIT_FUNC PyInit_m086964a2c5561b842ea4c5d4a203a715(void) {
171 PyObject *m = PyModule_Create(&moduledef);
172 return m;
173 }
174
===============================
clang: warning: argument unused during compilation: '-undefined dynamic_lookup'
clang: warning: argument unused during compilation: '-undefined dynamic_lookup'
clang: warning: argument unused during compilation: '-undefined dynamic_lookup'
clang: warning: argument unused during compilation: '-undefined dynamic_lookup'
clang: warning: argument unused during compilation: '-undefined dynamic_lookup'
clang: warning: argument unused during compilation: '-undefined dynamic_lookup'
clang: warning: argument unused during compilation: '-undefined dynamic_lookup'
ld: library not found for -lcudnn
clang: error: linker command failed with exit code 1 (use -v to see invocation)
['nvcc', '-shared', '-O3', '-L/Users/morgado/anaconda/lib/', '-use_fast_math', '-arch=sm_30', '-m64', '-Xcompiler', '-fno-math-errno,-Wno-unused-label,-Wno-unused-variable,-Wno-write-strings,-DCUDA_NDARRAY_CUH=m11b90075e2397c684f9dc0f7276eab8f,-D NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-fPIC', '-Xlinker', '-rpath,/Users/morgado/.theano/compiledir_Darwin-14.4.0-x86_64-i386-64bit-i386-3.4.3-64/cuda_ndarray', '-Xlinker', '-rpath,/usr/local/cuda/lib', '-I/Users/morgado/anaconda/lib/python3.4/site-packages/numpy/core/include', '-I/Users/morgado/anaconda/include/python3.4m', '-I/Users/morgado/anaconda/lib/python3.4/site-packages/theano/sandbox/cuda', '-o', '/Users/morgado/.theano/compiledir_Darwin-14.4.0-x86_64-i386-64bit-i386-3.4.3-64/tmp578d03tw/m086964a2c5561b842ea4c5d4a203a715.so', 'mod.cu', '-lcudnn', '-lcudart', '-Xcompiler', '-undefined,dynamic_lookup', '-Xlinker', '-pie']
ERROR (theano.gof.opt): SeqOptimizer apply <theano.sandbox.cuda.dnn.NoCuDNNRaise object at 0x10ebb14e0>
ERROR (theano.gof.opt): Traceback:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/gof/opt.py", line 196, in apply
sub_prof = optimizer.optimize(fgraph)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/gof/opt.py", line 82, in optimize
ret = self.apply(fgraph, *args, **kwargs)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/sandbox/cuda/dnn.py", line 1682, in apply
if not dnn_available():
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/sandbox/cuda/dnn.py", line 75, in dnn_available
v = version()
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/sandbox/cuda/dnn.py", line 206, in version
theano.Mode(optimizer=None))
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/compile/function.py", line 266, in function
profile=profile)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/compile/pfunc.py", line 511, in pfunc
on_unused_input=on_unused_input)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/compile/function_module.py", line 1466, in orig_function
defaults)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/compile/function_module.py", line 1324, in create
input_storage=input_storage_lists)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/gof/link.py", line 519, in make_thunk
output_storage=output_storage)[:3]
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/gof/vm.py", line 897, in make_all
no_recycling))
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/sandbox/cuda/__init__.py", line 259, in make_thunk
compute_map, no_recycling)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/gof/op.py", line 739, in make_thunk
output_storage=node_output_storage)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/gof/cc.py", line 1073, in make_thunk
keep_lock=keep_lock)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/gof/cc.py", line 1015, in __compile__
keep_lock=keep_lock)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/gof/cc.py", line 1442, in cthunk_factory
key=key, lnk=self, keep_lock=keep_lock)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/gof/cmodule.py", line 1076, in module_from_key
module = lnk.compile_cmodule(location)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/gof/cc.py", line 1354, in compile_cmodule
preargs=preargs)
File "/Users/morgado/anaconda/lib/python3.4/site-packages/theano/sandbox/cuda/nvcc_compiler.py", line 423, in compile_str
'for cmd', ' '.join(cmd))
Exception: ('The following error happened while compiling the node', <theano.sandbox.cuda.dnn.DnnVersion object at 0x11549af98>(), '\n', 'nvcc return status', 1, 'for cmd', 'nvcc -shared -O3 -L/Users/morgado/anaconda/lib/ -use_fast_math -arch=sm_30 -m64 -Xcompiler -fno-math-errno,-Wno-unused-label,-Wno-unused-variable,-Wno-write-strings,-DCUDA_NDARRAY_CUH=m11b90075e2397c684f9dc0f7276eab8f,-D NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-fPIC -Xlinker -rpath,/Users/morgado/.theano/compiledir_Darwin-14.4.0-x86_64-i386-64bit-i386-3.4.3-64/cuda_ndarray -Xlinker -rpath,/usr/local/cuda/lib -I/Users/morgado/anaconda/lib/python3.4/site-packages/numpy/core/include -I/Users/morgado/anaconda/include/python3.4m -I/Users/morgado/anaconda/lib/python3.4/site-packages/theano/sandbox/cuda -o /Users/morgado/.theano/compiledir_Darwin-14.4.0-x86_64-i386-64bit-i386-3.4.3-64/tmp578d03tw/m086964a2c5561b842ea4c5d4a203a715.so mod.cu -lcudnn -lcudart -Xcompiler -undefined,dynamic_lookup -Xlinker -pie', '[<theano.sandbox.cuda.dnn.DnnVersion object at 0x11549af98>()]'
Seems like clang is not getting the cudnn library even when I specifically told it to check that path.

In your profile add:
export LIBRARY_PATH=$CUDA_ROOT/lib:$CUDA_ROOT/lib64:$LIBRARY_PATH
Including the lib on LIBRARY_PATH worked for me.

I had the same problem and could fix it by setting
export DYLD_LIBRARY_PATH=/Developer/NVIDIA/CUDA-7.5/lib:$DYLD_LIBRARY_PATH
in my .bashrc and running
sudo update_dyld_shared_cache
afterwards.

Apache2 mod_jk segfaults with OS X Mavericks

I upgraded to Mavericks just yesterday, and had to reinstall mod_jk for my development environment. Compiling it from source was a bit of a pain. I found this page on a previously-asked question about mod_jk on OS X, but there were a couple extra hoops I had to jump through. For some reason, apxs thinks that gcc lives at:
/Applications/Xcode.app/Contents/Developer/Toolchains/OSX10.9.xctoolchain/usr/bin/cc
But that exact folder doesn't exist; I had to symlink the existing XcodeDefault.xctoolchain directory:
sudo ln -s XcodeDefault.xctoolchain/ OSX10.9.xctoolchain
Then I tried running configure:
./configure CFLAGS='-arch x86_64' APXSLDFLAGS='-arch x86_64' --with-apxs=/usr/sbin/apxs
However, configure failed because it couldn't find <stdio.h>, so I symlinked the OS X 10.9 toolchain as so:
sudo ln -s /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.9.sdk/usr/include/ /usr/include
I was able to then compile and install the module by running sudo make install -f Makefile.apxs in the apache-2.0 subdirectory. However, when I started up Apache via sudo apachectl start, it immediately crashes with a segfault:
Thread 0 Crashed:: Dispatch queue: com.apple.main-thread
0 libsystem_kernel.dylib 0x00007fff875fb866 __pthread_kill + 10
1 libsystem_pthread.dylib 0x00007fff8b8a435c pthread_kill + 92
2 libsystem_c.dylib 0x00007fff92480bba abort + 125
3 libsystem_c.dylib 0x00007fff92480d31 abort_report_np + 181
4 libsystem_c.dylib 0x00007fff924a48c5 __chk_fail + 48
5 libsystem_c.dylib 0x00007fff924a48d5 __chk_fail_overlap + 16
6 libsystem_c.dylib 0x00007fff924a4906 __chk_overlap + 49
7 libsystem_c.dylib 0x00007fff924a4ad1 __strcpy_chk + 64
8 mod_jk.so 0x0000000105a0c631 jk_map_get_int + 225
9 mod_jk.so 0x0000000105a1f7f1 jk_get_worker_maintain_time + 33
10 mod_jk.so 0x0000000105a17683 wc_open + 755
11 mod_jk.so 0x0000000105a2f13f init_jk + 1151
12 mod_jk.so 0x0000000105a28b7e jk_post_config + 1566
13 httpd 0x000000010568b7d5 ap_run_post_config + 133
14 httpd 0x00000001056947c7 main + 2567
15 libdyld.dylib 0x00007fff9176e5fd start + 1
Has anyone had success compiling/running mod_jk with Mavericks yet? Is there something I'm missing or not doing quite right?

The aforementioned bug reported against Tomcat has a proposed patch which is likely to be applied soon. Feel free to use any of the patches described in that bug -- they will all work.

Download latest Tomcat Connectors source from tomcat.apache.org/download-connectors.cgi
Per https://issues.apache.org/bugzilla/show_bug.cgi?id=55696
change the method below in ./native/common/jk_maps.c to what you see here:
int jk_map_get_int(jk_map_t *m, const char *name, int def)
{
const char *rc;
int int_res;
rc = jk_map_get_string(m, name, NULL);
if(NULL == rc) {
int_res = def;
} else {
size_t len = strlen(rc);
int multit = 1;
if (len) {
char buf[100];
char *lastchar;
strncpy(buf, rc, 100);
lastchar = buf + len - 1;
if ('m' == *lastchar || 'M' == *lastchar) {
*lastchar = '\0';
multit = 1024 * 1024;
}
else if ('k' == *lastchar || 'K' == *lastchar) {
*lastchar = '\0';
multit = 1024;
}
int_res = multit * atoi(buf);
}
else
int_res = def;
}
return int_res;
}
Install command line tools
xcode-select --install
Create missing symlink
sudo ln -s /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain /Applications/Xcode.app/Contents/Developer/Toolchains/OSX10.9.xctoolchain
cd ./native
./configure CFLAGS='-arch x86_64' APXSLDFLAGS='-arch x86_64' --with-apxs=/usr/sbin/apxs
chmod 755 scripts/build/instdso.sh
make
sudo make install

WORKAROUND - NOT A SOLUTION
I am encountering the same thing and was unable to get mod_jk to run inside of Apache.
As an alternative to simply get it to work locally and keep moving forward, I changed a few of the apache directives around to use mod_proxy_ajp instead.
LoadModule proxy_module libexec/apache2/mod_proxy.so
LoadModule proxy_ajp_module libexec/apache2/mod_proxy_ajp.so
ProxyPassMatch ^(/.*\.(jsp|json))$ ajp://localhost:8009/$1
ProxyPass /aircharge ajp://localhost:8009/aircharge
...
Since the AJP protocol is still being used, the same connector for Tomcat can be used without modification.

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