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� E�`Qc @ s� d Z d d d d g Z d d l Z d d l Z d d l Z d d l Z d � Z e j d � Z d � Z d � Z e j d � Z e j d � Z e j d � Z e j d � Z e j d � Z e j d � Z e j d � Z e j d � Z e j d � Z e j d � Z e j d � Z e j d � Z d � Z d d l Z d � Z d � Z d d � Z d � Z e j j d d � Z e j d � Z e j j d d d � Z" d � Z# e j j d! � Z$ e% d" k r�e$ e j& � n d S(# s6 This module converts code written for numarray to run with numpy Makes the following changes: * Changes import statements import numarray.package --> import numpy.numarray.package as numarray_package with all numarray.package in code changed to numarray_package import numarray --> import numpy.numarray as numarray import numarray.package as <yyy> --> import numpy.numarray.package as <yyy> from numarray import <xxx> --> from numpy.numarray import <xxx> from numarray.package import <xxx> --> from numpy.numarray.package import <xxx> package can be convolve, image, nd_image, mlab, linear_algebra, ma, matrix, fft, random_array * Makes search and replace changes to: - .imaginary --> .imag - .flat --> .ravel() (most of the time) - .byteswapped() --> .byteswap(False) - .byteswap() --> .byteswap(True) - .info() --> numarray.info(self) - .isaligned() --> .flags.aligned - .isbyteswapped() --> (not .dtype.isnative) - .typecode() --> .dtype.char - .iscontiguous() --> .flags.contiguous - .is_c_array() --> .flags.carray and .dtype.isnative - .is_fortran_contiguous() --> .flags.fortran - .is_f_array() --> .dtype.isnative and .flags.farray - .itemsize() --> .itemsize - .nelements() --> .size - self.new(type) --> numarray.newobj(self, type) - .repeat(r) --> .repeat(r, axis=0) - .size() --> .size - self.type() -- numarray.typefrom(self) - .typecode() --> .dtype.char - .stddev() --> .std() - .togglebyteorder() --> numarray.togglebyteorder(self) - .getshape() --> .shape - .setshape(obj) --> .shape=obj - .getflat() --> .ravel() - .getreal() --> .real - .setreal() --> .real = - .getimag() --> .imag - .setimag() --> .imag = - .getimaginary() --> .imag - .setimaginary() --> .imag t convertfilet convertallt converttreet convertsrci����Nc C s^ d | } d | } d | } d } | } d | k rK | j d d � } n t j d | d | | f | � } | j | d | � } | j | d | | f � } | | k r� | j | | � } n d } t | � } t d | � } xn | j | | � } | d k rPn | | } | | d k r(q� n d | | | | | f } | | | 7} q� | | f S( Ns import %ss import %s as s from %s import i t .t _s (import\s+[^,\n\r]+,\s*)(%s)s \1%s as %ss import %s as %st *s %sfrom %s import %s( t replacet ret subt lent find( t fstrt namet newnamet importstrt importasstrt fromstrt fromallt name_t indt Nlent Nlen2t found( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyt changeimports> s4 s ([.]flat(\s*?[[=]))c C sL | j d � } | j t j d | � } d | | t j d | | f } | S( Nt importi s %s%s%s%ss! import numpy.numarray as numarray( R t rfindt ost linesep( t astrR t start( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyt addimport` s c C sZ | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } | j d d � } t j d | � } | j d d � } | j d d � } | S(! Ns .imaginarys .imags .byteswapped()s .byteswap(False)s .byteswap()s .byteswap(True)s .isaligned()s .flags.aligneds .iscontiguous()s .flags.contiguouss .is_fortran_contiguous()s .flags.fortrans .itemsize()s .itemsizes .size()s .sizes .nelements()s .typecode()s .dtype.chars .stddev()s .std()s .getshape()s .shapes .getflat()s .ravel()s .getreals .reals .getimags .getimaginarys @@@@\2s .flats @@@@( R t flatindex_reR ( R t tmpstr( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyt replaceattri s( s (\S+)\s*[.]\s*info\s*[(]\s*[)]s% (\S+)\s*[.]\s*new\s*[(]\s*(\S+)\s*[)]s) (\S+)\s*[.]\s*togglebyteorder\s*[(]\s*[)]s (\S+)\s*[.]\s*type\s*[(]\s*[)]s' (\S+)\s*[.]\s*isbyteswapped\s*[(]\s*[)]s$ (\S+)\s*[.]\s*is_c_array\s*[(]\s*[)]s$ (\S+)\s*[.]\s*is_f_array\s*[(]\s*[)]s( (\S+)\s*[.]\s*repeat\s*[(]\s*(\S+)\s*[)]s* (\S+)\s*[.]\s*setshape\s*[(]\s*(\S+)\s*[)]s) (\S+)\s*[.]\s*setreal\s*[(]\s*(\S+)\s*[)]s) (\S+)\s*[.]\s*setimag\s*[(]\s*(\S+)\s*[)]s. (\S+)\s*[.]\s*setimaginary\s*[(]\s*(\S+)\s*[)]c C s t j d | � \ } } t j d | � \ } } t j d | � \ } } t j d | � \ } } | | | | d k r� t | � } n t j d | � } t j d | � } t j d | � } t j d | � } t j d | � } t j d | � } t j d | � } t j d | � } | S( Ns numarray.info(\1)s numarray.newobj(\1, \2)s numarray.togglebyteorder(\1)s numarray.typefrom(\1)i s not \1.dtype.isnatives% \1.dtype.isnative and \1.flags.carrays% \1.dtype.isnative and \1.flags.farrays \1.repeat(\2, axis=0)s \1.shape = \2s \1.real = \2s \1.imag = \2( t info_ret subnt new_ret toggle_ret type_reR t isbyte_reR t iscarr_ret isfarr_ret repeat_ret setshape_ret setreal_ret setimag_ret setimaginary_re( R t n1t n2t n3t n4( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyt replaceother� s c C s | } t | d d � \ } } d } d } xe d d d d d d d d d d g D]? } | d k ro d | } n t | | | | | � \ } } qP Wt | � } t | � } | | k r t j j t j d � d } t j j � j d � } d | | | f } | d f S| d f S( Nt numarrays numpy.numarrayt t convolvet imaget nd_imaget mlabt linear_algebrat mat matrixt fftt random_arrayR i i����s %b %d, %Ys8 ## Automatically adapted for numpy.numarray %s by %s %si ( R R" R4 R t patht splitt syst argvt datetimet datet todayt strftime( t filestrt savestrR t baset newbaseR R RF ( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyR � s$ $ c C s* t | d � } | j | � | j � d S( Nt w( t filet writet close( R RH t fid( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyt makenewfile� s i c C s� t | � } | j � } | j � t | � \ } } | r� | ro t j j | � \ } } t j | | d � n t j | � t | | � n d S( s� Convert the filename given from using Numarray to using NumPy Copies the file to filename.orig and then over-writes the file with the updated code s .origN( t opent readRO R R R@ t splitextt renamet removeRQ ( t filenamet origRP RH t changedRJ t ext( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyR � s c C s | d } t | � d S( Ni ( R ( t argsRW ( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyt fromargs� s c C sV t j t j j | d � � } x1 | D]) } | d d k rA q% n t | | � q% Wd S( s� Convert all .py files to use numpy.oldnumeric (from Numeric) in the directory given For each file, a backup of <usesnumeric>.py is made as <usesnumeric>.py.orig. A new file named <usesnumeric>.py is then written with the updated code. s *.pyi����s setup.pyN( t globR R@ t joinR ( t direcRX t filest afile( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyR � s s (numarray/libnumarray.h)c C s | d k r- t j t j j | d � � } n@ g } x7 | D]/ } | j t j t j j | d | � � � q: Wx� | D]� } t | � } | j � } | j � t j d | � \ } } | d k rt | r� t j j | � \ } } t j | | d � n t j | � t | | � qt qt Wd S( s� Replace Numeric/arrayobject.h with numpy/oldnumeric.h in all files in the directory with extension give by list ext (if ext is None, then all files are replaced).R s *.%ss numpy/libnumarray.hi s .origN( t NoneR] R R@ R^ t extendRR RS RO t header_reR$ RT RU RV RQ ( R_ RZ RX R` t aextRa RP R t nRJ ( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyR � s ! - c C s- t | d d �t | d d g d d �d S( NRX i t ht c( R R ( t argt dirnamet fnames( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyt _func� s c C s t j j | t d � d S( s- Convert all .py files in the tree given N( R R@ t walkRl Rb ( R_ ( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyR s t __main__(' t __doc__t __all__RB R R R] R t compileR R R" R# R% R& R' R( R) R* R+ R, R- R. R/ R4 RD R RQ R R\ R@ t curdirR Rd Rb R Rl R t __name__RC ( ( ( s@ /usr/lib64/python2.7/site-packages/numpy/numarray/alter_code1.pyt <module>6 sD
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