Re: [Numpy-discussion] Numpy RC1 build blows up -- IGNORE
Ignore this query -- silly mistake on my part. Sorry.
On Sep 25, 2006, at 2:30 PM, [EMAIL PROTECTED] wrote:
> I've just tried building RC1 on OSX 10.4 (Intel), and it fails
> almost immediately. This did not fail in the past with beta5 or
> from SVN:
>
> Osoyoos:~/Development/numpy-1.0rc1 chris$ python setup.py build
> Running from numpy source directory.
> F2PY Version 2_3198
> blas_opt_info:
> FOUND:
> extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
> define_macros = [('NO_ATLAS_INFO', 3)]
> extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/
> vecLib.framework/Headers']
>
> lapack_opt_info:
> FOUND:
> extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
> define_macros = [('NO_ATLAS_INFO', 3)]
> extra_compile_args = ['-msse3']
>
> running build
> running config_fc
> running build_src
> building py_modules sources
> creating build
> creating build/src.darwin-8.7.1-i386-2.4
> creating build/src.darwin-8.7.1-i386-2.4/numpy
> creating build/src.darwin-8.7.1-i386-2.4/numpy/distutils
> building extension "numpy.core.multiarray" sources
> creating build/src.darwin-8.7.1-i386-2.4/numpy/core
> Generating build/src.darwin-8.7.1-i386-2.4/numpy/core/config.h
> customize NAGFCompiler
> customize AbsoftFCompiler
> customize IbmFCompiler
> Could not locate executable g77
> Could not locate executable f77
> Could not locate executable f95
> customize GnuFCompiler
> customize Gnu95FCompiler
> customize Gnu95FCompiler
> customize Gnu95FCompiler using config
> C compiler: gcc -fno-strict-aliasing -Wno-long-double -no-cpp-
> precomp -mno-fused-madd -fPIC -fno-common -dynamic -DNDEBUG -g -O3 -
> Wall -Wstrict-prototypes
>
> compile options: '-I/Library/Frameworks/Python.framework/Versions/
> 2.4/include/python2.4 -Inumpy/core/src -Inumpy/core/include -I/
> Library/Frameworks/Python.framework/Versions/2.4/include/python2.4 -c'
> gcc: _configtest.c
> gcc: installation problem, cannot exec `cc1': No such file or
> directory
> gcc: installation problem, cannot exec `cc1': No such file or
> directory
> failure.
> removing: _configtest.c _configtest.o
> Traceback (most recent call last):
> File "setup.py", line 89, in ?
> setup_package()
> File "setup.py", line 82, in setup_package
> configuration=configuration )
> File "/Users/chris/Development/numpy-1.0rc1/numpy/distutils/
> core.py", line 174, in setup
> return old_setup(**new_attr)
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/distutils/core.py", line 149, in setup
> dist.run_commands()
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/distutils/dist.py", line 946, in run_commands
> self.run_command(cmd)
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/distutils/dist.py", line 966, in run_command
> cmd_obj.run()
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/distutils/command/build.py", line 112, in run
> self.run_command(cmd_name)
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/distutils/cmd.py", line 333, in run_command
> self.distribution.run_command(command)
> File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
> python2.4/distutils/dist.py", line 966, in run_command
> cmd_obj.run()
> File "/Users/chris/Development/numpy-1.0rc1/numpy/distutils/
> command/build_src.py", line 87, in run
> self.build_sources()
> File "/Users/chris/Development/numpy-1.0rc1/numpy/distutils/
> command/build_src.py", line 106, in build_sources
> self.build_extension_sources(ext)
> File "/Users/chris/Development/numpy-1.0rc1/numpy/distutils/
> command/build_src.py", line 212, in build_extension_sources
> sources = self.generate_sources(sources, ext)
> File "/Users/chris/Development/numpy-1.0rc1/numpy/distutils/
> command/build_src.py", line 270, in generate_sources
> source = func(extension, build_dir)
> File "numpy/core/setup.py", line 50, in generate_config_h
> raise "ERROR: Failed to test configuration"
> ERROR: Failed to test configuration
>
> --
> Christopher Fonnesbeck
> + Atlanta, GA
> + fonnesbeck at mac.com
> + Contact me on AOL IM using email address
>
>
--
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Re: [Numpy-discussion] Numpy RC1 build blows up
[EMAIL PROTECTED] wrote: > I've just tried building RC1 on OSX 10.4 (Intel), and it fails almost > immediately. This did not fail in the past with beta5 or from SVN: It looks like a problem on your end: > gcc: installation problem, cannot exec `cc1': No such file or directory Can you build anything else with gcc? -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] Numpy RC1 build blows up
I've just tried building RC1 on OSX 10.4 (Intel), and it fails almost
immediately. This did not fail in the past with beta5 or from SVN:
Osoyoos:~/Development/numpy-1.0rc1 chris$ python setup.py build
Running from numpy source directory.
F2PY Version 2_3198
blas_opt_info:
FOUND:
extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
define_macros = [('NO_ATLAS_INFO', 3)]
extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/
vecLib.framework/Headers']
lapack_opt_info:
FOUND:
extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
define_macros = [('NO_ATLAS_INFO', 3)]
extra_compile_args = ['-msse3']
running build
running config_fc
running build_src
building py_modules sources
creating build
creating build/src.darwin-8.7.1-i386-2.4
creating build/src.darwin-8.7.1-i386-2.4/numpy
creating build/src.darwin-8.7.1-i386-2.4/numpy/distutils
building extension "numpy.core.multiarray" sources
creating build/src.darwin-8.7.1-i386-2.4/numpy/core
Generating build/src.darwin-8.7.1-i386-2.4/numpy/core/config.h
customize NAGFCompiler
customize AbsoftFCompiler
customize IbmFCompiler
Could not locate executable g77
Could not locate executable f77
Could not locate executable f95
customize GnuFCompiler
customize Gnu95FCompiler
customize Gnu95FCompiler
customize Gnu95FCompiler using config
C compiler: gcc -fno-strict-aliasing -Wno-long-double -no-cpp-precomp
-mno-fused-madd -fPIC -fno-common -dynamic -DNDEBUG -g -O3 -Wall -
Wstrict-prototypes
compile options: '-I/Library/Frameworks/Python.framework/Versions/2.4/
include/python2.4 -Inumpy/core/src -Inumpy/core/include -I/Library/
Frameworks/Python.framework/Versions/2.4/include/python2.4 -c'
gcc: _configtest.c
gcc: installation problem, cannot exec `cc1': No such file or directory
gcc: installation problem, cannot exec `cc1': No such file or directory
failure.
removing: _configtest.c _configtest.o
Traceback (most recent call last):
File "setup.py", line 89, in ?
setup_package()
File "setup.py", line 82, in setup_package
configuration=configuration )
File "/Users/chris/Development/numpy-1.0rc1/numpy/distutils/
core.py", line 174, in setup
return old_setup(**new_attr)
File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
python2.4/distutils/core.py", line 149, in setup
dist.run_commands()
File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
python2.4/distutils/dist.py", line 946, in run_commands
self.run_command(cmd)
File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
python2.4/distutils/dist.py", line 966, in run_command
cmd_obj.run()
File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
python2.4/distutils/command/build.py", line 112, in run
self.run_command(cmd_name)
File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
python2.4/distutils/cmd.py", line 333, in run_command
self.distribution.run_command(command)
File "/Library/Frameworks/Python.framework/Versions/2.4/lib/
python2.4/distutils/dist.py", line 966, in run_command
cmd_obj.run()
File "/Users/chris/Development/numpy-1.0rc1/numpy/distutils/
command/build_src.py", line 87, in run
self.build_sources()
File "/Users/chris/Development/numpy-1.0rc1/numpy/distutils/
command/build_src.py", line 106, in build_sources
self.build_extension_sources(ext)
File "/Users/chris/Development/numpy-1.0rc1/numpy/distutils/
command/build_src.py", line 212, in build_extension_sources
sources = self.generate_sources(sources, ext)
File "/Users/chris/Development/numpy-1.0rc1/numpy/distutils/
command/build_src.py", line 270, in generate_sources
source = func(extension, build_dir)
File "numpy/core/setup.py", line 50, in generate_config_h
raise "ERROR: Failed to test configuration"
ERROR: Failed to test configuration
--
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Re: [Numpy-discussion] NumPy types --> Numeric typecodes map?
Francesc Altet wrote: >El dl 25 de 09 del 2006 a les 11:08 -0600, en/na Travis Oliphant va >escriure: > > >>Francesc Altet wrote: >> >> >> >>>Hi, >>> >>>Anybody know if there is a map between NumPy types and Numeric >>>typecodes? Something like 'typecodes' for numarray: >>> >>> Oh, you mean actual Numeric typecodes, not Numeric-like typecodes :-) dtype(obj).char will not work for the Numeric typecodes that changed, set up a dictionary-like object which uses dtype(obj).char on all but the ones that changed is my suggestion. See the core/numerictypes.py module for dictionary-like objects. Perhaps this would be a good thing to add to numpy/oldnumeric 'b' --> 'B' '1' --> 'b' 's' --> 'h' 'w' --> 'H' 'u' --> 'I' -Travis - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] NumPy types --> Numeric typecodes map?
El dl 25 de 09 del 2006 a les 11:08 -0600, en/na Travis Oliphant va
escriure:
> Francesc Altet wrote:
>
> >Hi,
> >
> >Anybody know if there is a map between NumPy types and Numeric
> >typecodes? Something like 'typecodes' for numarray:
> >
> >
> How about
>
> dtype(obj).char?
This doesn't work for many types:
>>> Numeric.array([1], typecode=numpy.dtype('int32').char)
array([1])
this is fine, but:
>>> Numeric.array([1], typecode=numpy.dtype('int16').char)
Traceback (most recent call last):
File "", line 1, in ?
TypeError: typecode argument must be a valid type.
>>> Numeric.array([1], typecode=numpy.dtype('int64').char)
Traceback (most recent call last):
File "", line 1, in ?
TypeError: typecode argument must be a valid type.
Anyway, this is not very important as I can do my own map internally.
Thanks,
--
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Re: [Numpy-discussion] NumPy types --> Numeric typecodes map?
Francesc Altet wrote: >Hi, > >Anybody know if there is a map between NumPy types and Numeric >typecodes? Something like 'typecodes' for numarray: > > How about dtype(obj).char? -Travis - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] NumPy types --> Numeric typecodes map?
Hi,
Anybody know if there is a map between NumPy types and Numeric
typecodes? Something like 'typecodes' for numarray:
>>> numarray.typecode
{'UInt64': 'U', 'Int32': 'i', 'Int16': 's', 'Float64': 'd', 'Object':
'O', 'UInt8': 'b', 'UInt32': 'u', 'Complex64': 'D', 'UInt16': 'w',
'Bool': 'B', 'Complex32': 'F', 'Int64': 'N', 'Int8': '1', 'Float32':
'f'}
Thanks,
--
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Re: [Numpy-discussion] please restore the way dtype prints to original version
Christopher Hanley wrote: > Hi, > > Change set 3213 changed the data type printing with an array from > something like dtype=int64 to dtype='int64'. Although this is a small > cosmetic change it has broken all of the doctests I have written for > numpy code. I was changing the way dtypes print and this was an unexpected consequence. It has been restored. Please try r3215 -Travis - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] Negative division and numpy scalars
Hi, I have been bitten by a subtlety in numpy scalar divisions. The next exposes the issue: >>> -1/20 -1 >>> Numeric.array([-1])[0] / Numeric.array([20])[0] -1 >>> numarray.array([-1])[0] / numarray.array([20])[0] -1 >>> numpy.array([-1])[0] / numpy.array([20])[0] 0 After some digging, I've found that Python and C follow different conventions for doing this negative division: Python do a floor of the result, while C truncates it. As numpy scalar operations seems to be implemented in C, it seems that it follows the C convention and truncates the result. In fact, I like this behaviour of NumPy scalars (at least, when I'm aware of it!), but I thought it would be nice to warn other people about that. Cheers, -- >0,0< Francesc Altet http://www.carabos.com/ V V Cárabos Coop. V. Enjoy Data "-" - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] Downcasting to smallest storage
Hi, I am sorry if I have missed anything obvious here, but is there a fast simple way to downcast an array to the smallest storage that hold array data within a specified precision - e.g. a = array([1.0]) small_a = fantasy_function(a, rtol=1.0001e-05, atol=1e-08 ) b = array([1.2]) small_b = fantasy_function(b, tol=1.0001e-05, atol=1e-08) where a.dtype becomes, say, uint8, and b.dtype becomes float32? Thanks a lot, Matthew - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] 無料
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[Numpy-discussion] please restore the way dtype prints to original version
Hi, Change set 3213 changed the data type printing with an array from something like dtype=int64 to dtype='int64'. Although this is a small cosmetic change it has broken all of the doctests I have written for numpy code. I expect that I am not the only person this change has caught. Please restore the previous behavior until after the 1.0 release at least. Thank you, Chris - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] Fixes to numexpr string support
Hi all, these are just a couple of small fixes to the string support in
Numexpr, and a test case for the string copy operation.
For the base patches:
1.http://www.mail-archive.com/numpy-discussion@lists.sourceforge.net/msg01551.html
2.http://www.mail-archive.com/numpy-discussion@lists.sourceforge.net/msg02261.html
Cheers,
::
Ivan Vilata i Balaguer >qo< http://www.carabos.com/
Cárabos Coop. V. V V Enjoy Data
""
Index: numexpr/tests/test_numexpr.py
===
--- numexpr/tests/test_numexpr.py.orig
+++ numexpr/tests/test_numexpr.py
@@ -326,10 +326,22 @@
self.assertEqual(resnx.dtype.name, 'int64')
class test_strings(NumpyTestCase):
-str_array1 = array(['foo', 'bar', '', ' '])
-str_array2 = array(['foo', '', 'x', ' '])
+BLOCK_SIZE1 = 128
+BLOCK_SIZE2 = 8
+str_list1 = ['foo', 'bar', '', ' ']
+str_list2 = ['foo', '', 'x', ' ']
+str_nloops = len(str_list1) * (BLOCK_SIZE1 + BLOCK_SIZE2 + 1)
+str_array1 = array(str_list1 * str_nloops)
+str_array2 = array(str_list2 * str_nloops)
str_constant = 'doodoo'
+def check_compare_copy(self):
+sarr = self.str_array1
+expr = 'sarr'
+res1 = eval(expr)
+res2 = evaluate(expr)
+assert_array_equal(res1, res2)
+
def check_compare_array(self):
sarr1 = self.str_array1
sarr2 = self.str_array2
Index: numexpr/interpreter.c
===
--- numexpr/interpreter.c.orig
+++ numexpr/interpreter.c
@@ -317,6 +317,7 @@
break;
case OP_COPY_SS:
if (n == 0 || n == 1) return 's';
+ break;
case OP_PROD_IIN:
case OP_SUM_IIN:
if (n == 0 || n == 1) return 'i';
@@ -1216,7 +1217,8 @@
Py_INCREF(PyArray_DESCR(a));
PyObject *b = PyArray_SimpleNewFromDescr(1, dims, PyArray_DESCR(a));
if (!b) goto cleanup_and_exit;
-self->memsteps[i+1] = self->memsizes[i+1] = PyArray_ITEMSIZE(a);
+self->memsteps[i+1] = 0;
+self->memsizes[i+1] = PyArray_ITEMSIZE(a);
PyTuple_SET_ITEM(a_inputs, i+2*n_inputs, b); /* steals reference */
inputs[i] = PyArray_DATA(b);
if (typecode == PyArray_BOOL) {
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