|
Hello, I’ve a program using Numpy and I would like to compile
it with Py2exe but I’ve some problems. When I try to compile my program,
some modules generated by numpy are not loaded. I’ve already asked to the
py2exe community if they have a solution for that and the answer was that it
was possible to compile numpy modules with py2exe but I should ask to the Numpy
community J So my question is, is there something special to do in order
to compile a program using numpy module? This is the setup.py file that I use from
distutils.core import setup import py2exe, sys sys.path.append("tools") sys.path.append("report") sys.path.append("spirent") sys.path.append("numpydir") setup( console
= ['checkfile.py'], ) If I use this setup.py, lots of numpy file cannot be loaded.
I get the following message copying
c:\python24\lib\site-packages\py2exe\run.exe -> Y:\svn\copy\dist\checkfile.exe The following
modules appear to be missing ['DateTime',
'FFT', 'Ft.Lib', 'Ft.Lib.DumpBgTuple', 'Ft.__init__', 'LinearAlgebra', 'MA',
'MLab', 'Matrix', 'Numeric', 'Pyrex', 'Pyrex.Compiler', 'XPathParserc' , '_curses',
'backends.draw_if_interactive', 'backends.new_figure_manager',
'backends.pylab_setup', 'backends.show', 'core.abs', 'core.max', 'core.min',
'core.r ound', 'ctypes',
'ext.IsDOMString', 'ext.SplitQName', 'fcompiler.FCompiler',
'fcompiler.show_fcompilers', 'lib.add_newdoc', 'mlab.amax', 'mlab.amin',
'numarray' ,
'numarray.convolve', 'numarray.fft', 'numarray.ieeespecial',
'numarray.linear_algebra', 'numarray.linear_algebra.mlab', 'numarray.ma',
'numarray.numeric', 'nu merix.ArrayType',
'numerix.Complex', 'numerix.Complex32', 'numerix.Complex64', 'numerix.Float',
'numerix.Float32', 'numerix.Float64', 'numerix.Int', 'numerix.In t16',
'numerix.Int32', 'numerix.Int8', 'numerix.NewAxis', 'numerix.UInt16',
'numerix.UInt32', 'numerix.UInt8', 'numerix.absolute', 'numerix.add',
'numerix.all', 'numerix.allclose',
'numerix.alltrue', 'numerix.any', 'numerix.arange', 'numerix.arccos',
'numerix.arccosh', 'numerix.arcsin', 'numerix.arcsinh', 'numerix.arct an',
'numerix.arctan2', 'numerix.arctanh', 'numerix.argmax', 'numerix.argmin',
'numerix.argsort', 'numerix.around', 'numerix.array', 'numerix.arrayrange',
'nume rix.asarray',
'numerix.asum', 'numerix.bitwise_and', 'numerix.bitwise_or',
'numerix.bitwise_xor', 'numerix.ceil', 'numerix.choose', 'numerix.clip',
'numerix.com press',
'numerix.concatenate', 'numerix.conjugate', 'numerix.convolve', 'numerix.cos',
'numerix.cosh', 'numerix.cross_correlate', 'numerix.cumproduct', 'numerix .cumsum',
'numerix.diagonal', 'numerix.divide', 'numerix.dot', 'numerix.equal',
'numerix.exp', 'numerix.fabs', 'numerix.fft.fft', 'numerix.fft.inverse_fft',
'nu merix.floor',
'numerix.fmod', 'numerix.fromfunction', 'numerix.fromstring', 'numerix.greater',
'numerix.greater_equal', 'numerix.hypot', 'numerix.identity', 'nu merix.indices',
'numerix.innerproduct', 'numerix.iscontiguous', 'numerix.isnan',
'numerix.less', 'numerix.less_equal', 'numerix.log', 'numerix.log10', 'numerix. logical_and',
'numerix.logical_not', 'numerix.logical_or', 'numerix.logical_xor',
'numerix.matrixmultiply', 'numerix.maximum', 'numerix.minimum', 'numerix.mlab. amax',
'numerix.mlab.amin', 'numerix.mlab.cov', 'numerix.mlab.diff',
'numerix.mlab.hanning', 'numerix.mlab.rand', 'numerix.mlab.std',
'numerix.mlab.svd', 'numer ix.multiply',
'numerix.negative', 'numerix.newaxis', 'numerix.nonzero', 'numerix.not_equal',
'numerix.nx', 'numerix.ones', 'numerix.outerproduct', 'numerix.pi', 'numerix.power',
'numerix.product', 'numerix.put', 'numerix.putmask', 'numerix.rank',
'numerix.ravel', 'numerix.repeat', 'numerix.reshape', 'numerix.resize', ' numerix.searchsorted',
'numerix.shape', 'numerix.sin', 'numerix.sinh', 'numerix.size',
'numerix.sometrue', 'numerix.sort', 'numerix.sqrt', 'numerix.subtract', ' numerix.swapaxes',
'numerix.take', 'numerix.tan', 'numerix.tanh', 'numerix.trace',
'numerix.transpose', 'numerix.typecode', 'numerix.typecodes', 'numerix.where' , 'numerix.which',
'numerix.zeros', 'pre', 'serial', 'setuptools', 'setuptools.command',
'setuptools.command.egg_info', 'setuptools.command.install', 'testing.S cipyTest',
'win32api', 'win32con', 'win32pdh', 'xml.xslt', 'xml.xslt.ParsedPattern',
'numpy.Complex', 'numpy.Complex32', 'numpy.Complex64', 'numpy.Float', 'nump y.Float32', 'numpy.Float64',
'numpy.Int', 'numpy.Int16', 'numpy.Int32', 'numpy.Int8', 'numpy.UInt16',
'numpy.UInt32', 'numpy.UInt8', 'numpy.arccos', 'numpy.arcc osh',
'numpy.arcsin', 'numpy.arcsinh', 'numpy.arctan', 'numpy.arctanh',
'numpy.bitwise_and', 'numpy.bitwise_or', 'numpy.bitwise_xor', 'numpy.ceil',
'numpy.conju gate',
'numpy.core.add', 'numpy.core.bitwise_and', 'numpy.core.bitwise_or',
'numpy.core.bitwise_xor', 'numpy.core.cdouble', 'numpy.core.complexfloating',
'numpy .core.conjugate',
'numpy.core.csingle', 'numpy.core.divide', 'numpy.core.double',
'numpy.core.equal', 'numpy.core.float64', 'numpy.core.greater', 'numpy.core.gr eater_equal',
'numpy.core.inexact', 'numpy.core.intc', 'numpy.core.invert',
'numpy.core.left_shift', 'numpy.core.less', 'numpy.core.less_equal',
'numpy.core.max imum',
'numpy.core.not_equal', 'numpy.core.power', 'numpy.core.remainder',
'numpy.core.right_shift', 'numpy.core.sin', 'numpy.core.single',
'numpy.core.sqrt', ' numpy.core.subtract',
'numpy.cosh', 'numpy.dft.old', 'numpy.divide', 'numpy.e', 'numpy.fabs',
'numpy.floor', 'numpy.floor_divide', 'numpy.fmod', 'numpy.greater' , 'numpy.hypot',
'numpy.invert', 'numpy.left_shift', 'numpy.less', 'numpy.log', 'numpy.log10',
'numpy.logical_and', 'numpy.logical_not', 'numpy.logical_or', 'nu mpy.logical_xor',
'numpy.maximum', 'numpy.minimum', 'numpy.negative', 'numpy.not_equal',
'numpy.power', 'numpy.random.rand', 'numpy.random.randn', 'numpy.remain der',
'numpy.right_shift', 'numpy.sinh', 'numpy.tan', 'numpy.tanh',
'numpy.true_divide'] Do you know what to do to solve this problem? Thank you very much for your answers. This e-mail communication contains information that is confidential and may also be privileged. It is intended for the exclusive use of the addressees. If you are not the person or organization to whom it is addressed, you must not copy, distribute or take any action in reliance upon it. If you received this communication in error, please notify Septentrio nv immediately [ telephone +32 [0] 16 300800 ]. Septentrio nv will not accept liability for contractual commitments made by individuals employed by this company outside the scope of our business. |
------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642
_______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
