Re: [Numpy-discussion] Multiplying Python float to numpy.array of objects works but fails with a numpy.float64, numpy Bug?
Sun, 07 Jun 2009 12:09:40 +0200, Sebastian Walter wrote: from numpy import * import numpy print 'numpy.__version__=',numpy.__version__ class adouble: def __init__(self,x): self.x = x def __mul__(self,rhs): if isinstance(rhs,adouble): return adouble(self.x * rhs.x) else: return adouble(self.x * rhs) def __str__(self): return str(self.x) [clip] print u * float64(3.)# _NOT_ OK! [clip] Should I open a ticket for that? Please do, the current behavior doesn't seem correct. -- Pauli Virtanen ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Multiplying Python float to numpy.array of objects works but fails with a numpy.float64, numpy Bug?
Apparently the bugfix has been undone in the current bleeding edge version of numpy: --- numpy_float64_issue.py -- from numpy import * import numpy print 'numpy.__version__=',numpy.__version__ class adouble: def __init__(self,x): self.x = x def __mul__(self,rhs): if isinstance(rhs,adouble): return adouble(self.x * rhs.x) else: return adouble(self.x * rhs) def __str__(self): return str(self.x) x = adouble(3.) y = adouble(2.) u = array([adouble(3.), adouble(5.)]) v = array([adouble(2.), adouble(7.)]) z = array([2.,3.]) print x * y # ok print u * v # ok print u * z # ok print u * 3. # ok print u * z[0] # _NOT_ OK! print u * float64(3.)# _NOT_ OK! end numpy_float64_issue.py -- OUTPUT: ba...@shlp:~/tmp$ python numpy_float64_issue.py numpy.__version__= 1.4.0.dev7039 6.0 [6.0 35.0] [6.0 15.0] [9.0 15.0] Traceback (most recent call last): File numpy_float64_issue.py, line 26, in module print u * z[0] # _NOT_ OK! TypeError: unsupported operand type(s) for *: 'numpy.ndarray' and 'numpy.float64' Should I open a ticket for that? Sebastian On Tue, Jun 2, 2009 at 4:18 PM, Darren Daledsdal...@gmail.com wrote: On Tue, Jun 2, 2009 at 10:09 AM, Keith Goodman kwgood...@gmail.com wrote: On Tue, Jun 2, 2009 at 1:42 AM, Sebastian Walter sebastian.wal...@gmail.com wrote: Hello, Multiplying a Python float to a numpy.array of objects works flawlessly but not with a numpy.float64 . I tried numpy version '1.0.4' on a 32 bit Linux and '1.2.1' on a 64 bit Linux: both raise the same exception. Is this a (known) bug? Yes, it was fixed in numpy-1.3. ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Multiplying Python float to numpy.array of objects works but fails with a numpy.float64, numpy Bug?
On Tue, Jun 2, 2009 at 1:42 AM, Sebastian Walter sebastian.wal...@gmail.com wrote: Hello, Multiplying a Python float to a numpy.array of objects works flawlessly but not with a numpy.float64 . I tried numpy version '1.0.4' on a 32 bit Linux and '1.2.1' on a 64 bit Linux: both raise the same exception. Is this a (known) bug? -- test.py from numpy import * class adouble: def __init__(self,x): self.x = x def __mul__(self,rhs): if isinstance(rhs,adouble): return adouble(self.x * rhs.x) else: return adouble(self.x * rhs) def __str__(self): return str(self.x) x = adouble(3.) y = adouble(2.) u = array([adouble(3.), adouble(5.)]) v = array([adouble(2.), adouble(7.)]) z = array([2.,3.]) print x * y # ok print u * v # ok print u * z # ok print u * 3. # ok print u * z[0] # _NOT_ OK! print u * float64(3.) # _NOT_ OK! -- output - wal...@wronski$ python test.py 6.0 [6.0 35.0] [6.0 15.0] [9.0 15.0] Traceback (most recent call last): File test.py, line 24, in module print u * z[0] # _NOT_ OK! TypeError: unsupported operand type(s) for *: 'numpy.ndarray' and 'numpy.float64' Try adding __rmul__ = __mul__ like below: from numpy import * class adouble: def __init__(self,x): self.x = x def __mul__(self,rhs): if isinstance(rhs,adouble): return adouble(self.x * rhs.x) else: return adouble(self.x * rhs) __rmul__ = __mul__ def __str__(self): return str(self.x) def test(): x = adouble(3.) print 3 * x Output: test.test() 9.0 ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Multiplying Python float to numpy.array of objects works but fails with a numpy.float64, numpy Bug?
On Tue, Jun 2, 2009 at 10:09 AM, Keith Goodman kwgood...@gmail.com wrote: On Tue, Jun 2, 2009 at 1:42 AM, Sebastian Walter sebastian.wal...@gmail.com wrote: Hello, Multiplying a Python float to a numpy.array of objects works flawlessly but not with a numpy.float64 . I tried numpy version '1.0.4' on a 32 bit Linux and '1.2.1' on a 64 bit Linux: both raise the same exception. Is this a (known) bug? Yes, it was fixed in numpy-1.3. ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Multiplying Python float to numpy.array of objects works but fails with a numpy.float64, numpy Bug?
On Tue, Jun 2, 2009 at 4:18 PM, Darren Dale dsdal...@gmail.com wrote: On Tue, Jun 2, 2009 at 10:09 AM, Keith Goodman kwgood...@gmail.com wrote: On Tue, Jun 2, 2009 at 1:42 AM, Sebastian Walter sebastian.wal...@gmail.com wrote: Hello, Multiplying a Python float to a numpy.array of objects works flawlessly but not with a numpy.float64 . I tried numpy version '1.0.4' on a 32 bit Linux and '1.2.1' on a 64 bit Linux: both raise the same exception. Is this a (known) bug? Yes, it was fixed in numpy-1.3. ok, cool thanks for the info! ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
