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"""
This module converts code written for numpy.numarray to work
with numpy
"""
#__all__ = ['fromfile', 'fromstr', 'convertfile', 'convertall']
__all__ = []
import warnings
warnings.warn("numpy.numarray.alter_code2 is not ready yet.")
import sys
import os
import re
import glob
# To convert typecharacters we need to
# Not very safe. Disabled for now..
def replacetypechars(astr):
astr = astr.replace("'s'","'h'")
astr = astr.replace("'b'","'B'")
astr = astr.replace("'1'","'b'")
astr = astr.replace("'w'","'H'")
astr = astr.replace("'u'","'I'")
return astr
def changeimports(fstr, name, newname):
importstr = 'import %s' % name
importasstr = 'import %s as ' % name
fromstr = 'from %s import ' % name
fromall=0
fstr = fstr.replace(importasstr, 'import %s as ' % newname)
fstr = fstr.replace(importstr, 'import %s as %s' % (newname,name))
ind = 0
Nlen = len(fromstr)
Nlen2 = len("from %s import " % newname)
while 1:
found = fstr.find(fromstr,ind)
if (found < 0):
break
ind = found + Nlen
if fstr[ind] == '*':
continue
fstr = "%sfrom %s import %s" % (fstr[:found], newname, fstr[ind:])
ind += Nlen2 - Nlen
return fstr, fromall
def replaceattr(astr):
astr = astr.replace("matrixmultiply","dot")
return astr
def replaceother(astr):
astr = re.sub(r'typecode\s*=', 'dtype=', astr)
astr = astr.replace('ArrayType', 'ndarray')
astr = astr.replace('NewAxis', 'newaxis')
return astr
import datetime
def fromstr(filestr):
#filestr = replacetypechars(filestr)
filestr, fromall1 = changeimports(filestr, 'numpy.oldnumeric', 'numpy')
filestr, fromall1 = changeimports(filestr, 'numpy.core.multiarray', 'numpy')
filestr, fromall1 = changeimports(filestr, 'numpy.core.umath', 'numpy')
filestr, fromall3 = changeimports(filestr, 'LinearAlgebra',
'numpy.linalg.old')
filestr, fromall3 = changeimports(filestr, 'RNG', 'numpy.random.oldrng')
filestr, fromall3 = changeimports(filestr, 'RNG.Statistics', 'numpy.random.oldrngstats')
filestr, fromall3 = changeimports(filestr, 'RandomArray', 'numpy.random.oldrandomarray')
filestr, fromall3 = changeimports(filestr, 'FFT', 'numpy.fft.old')
filestr, fromall3 = changeimports(filestr, 'MA', 'numpy.core.ma')
fromall = fromall1 or fromall2 or fromall3
filestr = replaceattr(filestr)
filestr = replaceother(filestr)
today = datetime.date.today().strftime('%b %d, %Y')
name = os.path.split(sys.argv[0])[-1]
filestr = '## Automatically adapted for '\
'numpy %s by %s\n\n%s' % (today, name, filestr)
return filestr
def makenewfile(name, filestr):
fid = file(name, 'w')
fid.write(filestr)
fid.close()
def getandcopy(name):
fid = file(name)
filestr = fid.read()
fid.close()
base, ext = os.path.splitext(name)
makenewfile(base+'.orig', filestr)
return filestr
def convertfile(filename):
"""Convert the filename given from using Numeric to using NumPy
Copies the file to filename.orig and then over-writes the file
with the updated code
"""
filestr = getandcopy(filename)
filestr = fromstr(filestr)
makenewfile(filename, filestr)
def fromargs(args):
filename = args[1]
convertfile(filename)
def convertall(direc=os.path.curdir):
"""Convert all .py files to use NumPy (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.
"""
files = glob.glob(os.path.join(direc,'*.py'))
for afile in files:
convertfile(afile)
if __name__ == '__main__':
fromargs(sys.argv)
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