Hi Alex,
A Friday 21 March 2008, Alex Olivas escrigué:
> I just built pytables and hdf5 on my Intel Mac and ran the tests
> and got two failures. Here's my system information :
>
> -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
>=-=-=-= PyTables version: 2.0.3
> HDF5 version: 1.8.0
> NumPy version: 1.0.5.dev4851
> Zlib version: 1.2.3
> BZIP2 version: 1.0.4 (20-Dec-2006)
> Python version: 2.5.1 (r251:54863, Feb 4 2008, 21:48:13)
> [GCC 4.0.1 (Apple Inc. build 5465)]
> Platform: darwin-i386
> Byte-ordering: little
> -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
>=-=-=-=
>
> This is the output of the tests:
>
> =====================================================================
>= FAIL: Checking representation of a nested Table
> ---------------------------------------------------------------------
>- Traceback (most recent call last):
> File "tables/tests/common.py", line 247, in newmethod
> return oldmethod(self, *args, **kwargs)
> File "tables/tests/test_nestedtypes.py", line 700, in test00a_repr
> """)
> AssertionError
>
> =====================================================================
>= FAIL: Checking representation of a nested Table
> ---------------------------------------------------------------------
>- Traceback (most recent call last):
> File "tables/tests/common.py", line 247, in newmethod
> return oldmethod(self, *args, **kwargs)
> File "tables/tests/test_nestedtypes.py", line 700, in test00a_repr
> """)
> AssertionError
>
> ---------------------------------------------------------------------
>- Ran 5746 tests in 61.240s
This looks like the NumPy team has chosen for 1.0.5 a different
representation for any on its data types. With NumPy 1.0.4 the tests
passes to me:
$ python tables/tests/test_nestedtypes.py ReadNoReopen.test00a_repr
verbose
Running ReadNoReopen.test00a_repr
---------------------------------
str(tbl)--> /test (Table(2,)) 'test00'
repr(tbl)--> /test (Table(2,)) 'test00'
description := {
"x": Int32Col(shape=(2,), dflt=0, pos=0),
"Info": {
"value": ComplexCol(itemsize=16, shape=(), dflt=0j, pos=0),
"y2": Float64Col(shape=(), dflt=1.0, pos=1),
"Info2": {
"name": StringCol(itemsize=2, shape=(), dflt='', pos=0),
"value": ComplexCol(itemsize=16, shape=(2,), dflt=0j, pos=1),
"y3": Time64Col(shape=(2,), dflt=1.0, pos=2),
"z3": EnumCol(enum=Enum({'r': 4, 'b': 1, 'g': 2}), dflt='r',
base=Int32Atom(shape=(), dflt=0), shape=(2,), pos=3)},
"name": StringCol(itemsize=2, shape=(), dflt='', pos=3),
"z2": UInt8Col(shape=(), dflt=1, pos=4)},
"color": StringCol(itemsize=2, shape=(), dflt=' ', pos=2),
"info": {
"Name": StringCol(itemsize=2, shape=(), dflt='', pos=0),
"Value": ComplexCol(itemsize=16, shape=(), dflt=0j, pos=1)},
"y": Float64Col(shape=(2, 2), dflt=1.0, pos=4),
"z": UInt8Col(shape=(), dflt=1, pos=5)}
byteorder := 'little'
chunkshape := (56,)
.
----------------------------------------------------------------------
Ran 1 test in 0.087s
OK
Could you please run the:
$ python tables/tests/test_nestedtypes.py ReadNoReopen.test00a_repr
verbose
line (do not forget the 'verbose' option) and send me back the ouput?
I'll update the test to deal with the possible difference in NumPy
representations.
Thanks,
--
>0,0< Francesc Altet http://www.carabos.com/
V V Cárabos Coop. V. Enjoy Data
"-"
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