[AstroPy] Problem reading VOTable produced by HLA
Michael Droettboom
mdroe at stsci.edu
Tue Feb 26 15:21:04 EST 2013
I just got word from Rick White that this has been fixed on the HLA
server as well. That was fast.
Mike
On 02/26/2013 12:51 PM, Michael Droettboom wrote:
> Also see the following PR for astropy which will emit a warning and
> truncate out-of-range integer values:
>
> https://github.com/astropy/astropy/pull/825
>
> Mike
>
> On 02/26/2013 11:08 AM, Michael Droettboom wrote:
>> Column #24 is defined as follows:
>>
>> <FIELD ID="NReleaseDate" name="NReleaseDate" datatype="int"
>> ucd="TIME_EPOCH">
>>
>> Here, a datatype of "int" means a 32-bit int, always, as per the
>> VOTable spec.
>>
>> Yet the value in the first row of this column is -2208988800, which
>> is too large to be represented in 32 bits. This field should really
>> be updated to be of type "long". I'll go ahead and report this to
>> the HLA folks.
>>
>> Unfortunately, it seems that Numpy complains about too long numbers
>> going into a 32-bit field on a 32-bit platform, but not on a
>> 64-platform, where it just silently truncates. It would be nice to
>> at least have consistent behavior across platforms there. Again,
>> I'll file a bug with Numpy about this to see what, if anything, that
>> team may want to do.
>>
>> In any case, the real bug is in the file -- astropy is just correctly
>> following directions here and only allocating as much memory as
>> specified in the file. It would be nice to workaround this bug in
>> the file, but it's a tricky one -- we would have to allocate the
>> table in one way, come across the overflow later, and then reparse
>> the whole file using a different table structure. None of our
>> existing workarounds do that, so it's not the most straightforward
>> thing to do.
>>
>> Mike
>>
>> On 02/26/2013 10:44 AM, Andy Ptak wrote:
>>> Sure...
>>> ipdb> print array_chunk
>>> [('http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=hlsp_angst_hst_acs-wfc_10915-ngc0253-wide5_f475w_v1_ref'
>>> <http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=hlsp_angst_hst_acs-wfc_10915-ngc0253-wide5_f475w_v1_ref%27>,
>>> 11.9123, -25.2889, 5, 'NGC0253-WIDE5', 'ACS/WFC', 'WFCENTER',
>>> 'F475W', 4, 1482.0, '2006-09-13 06:38:18',
>>> 'hlsp_angst_hst_acs-wfc_10915-ngc0253-wide5_f475w_v1_ref', 10915,
>>> '10915-ngc0253-wide5', 'Dalcanton', '', '', 'ACCUM', '2012-11-02
>>> 13:59:02', 'HLSP', 4744.35009766, 'image/fits', '1900-01-01
>>> 00:00:00', -2208988800L, 'angst_hst_acs-wfc_10915-ngc0253-wide5
>>> ACS/WFC F475W (hlsp) NGC0253-WIDE5', masked_array(data = [4220 4298],
>>> mask = [False False],
>>> fill_value = 999999)
>>> , masked_array(data = [1.38889e-05],
>>> mask = [False],
>>> fill_value = 1e+20)
>>> , 2, masked_array(data = [2055.6 1148.67],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [11.9123 -25.2889],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [-1.06388e-05 -8.9285e-06 -8.9285e-06
>>> 1.06388e-05],
>>> mask = [False False False False],
>>> fill_value = 1e+20)
>>> , 'hlsp_angst_hst_acs-wfc_10915-ngc0253-wide5_f475w_v1_ref',
>>> 'Polygon J2000 11.947768 -25.282758 11.905331 -25.237036
>>> 11.855680 -25.274704 11.898112 -25.320439'),
>>> ('http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=hlsp_ghosts_hst_acs_ngc0253-field01_f606w_v1_drz'
>>> <http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=hlsp_ghosts_hst_acs_ngc0253-field01_f606w_v1_drz%27>,
>>> 11.9017, -25.2787, 5, 'NGC0253-WIDE5', 'ACS/WFC', 'WFCENTER',
>>> 'F606W', 4, 1508.0, '2006-09-13 09:42:19',
>>> 'hlsp_ghosts_hst_acs_ngc0253-field01_f606w_v1_drz', 10915,
>>> 'ngc0253-field01', 'Dalcanton', '', '', 'ACCUM', '2012-11-02
>>> 14:01:51', 'HLSP', 5917.68017578, 'image/fits', '1900-01-01
>>> 00:00:00', -2208988800L, 'ghosts_hst_acs_ngc0253-field01 ACS/WFC
>>> F606W (hlsp) NGC0253-WIDE5', masked_array(data = [4220 4299],
>>> mask = [False False],
>>> fill_value = 999999)
>>> , masked_array(data = [1.38892e-05],
>>> mask = [False],
>>> fill_value = 1e+20)
>>> , 2, masked_array(data = [2110.0 2149.5],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [11.9017 -25.2787],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [-1.06397e-05 -8.9279e-06 -8.9279e-06
>>> 1.06397e-05],
>>> mask = [False False False False],
>>> fill_value = 1e+20)
>>> , 'hlsp_ghosts_hst_acs_ngc0253-field01_f606w_v1_drz', 'Polygon J2000
>>> 11.947776 -25.282766 11.905328 -25.237033 11.855676
>>> -25.274701 11.898119 -25.320449'),
>>> ('http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=hlsp_ghosts_hst_acs_ngc0253-field01_f814w_v1_drz'
>>> <http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=hlsp_ghosts_hst_acs_ngc0253-field01_f814w_v1_drz%27>,
>>> 11.9017, -25.2787, 5, 'NGC0253-WIDE5', 'ACS/WFC', 'WFCENTER',
>>> 'F814W', 4, 1534.0, '2006-09-13 11:18:39',
>>> 'hlsp_ghosts_hst_acs_ngc0253-field01_f814w_v1_drz', 10915,
>>> 'ngc0253-field01', 'Dalcanton', '', '', 'ACCUM', '2012-11-02
>>> 14:01:51', 'HLSP', 8059.75976562, 'image/fits', '1900-01-01
>>> 00:00:00', -2208988800L, 'ghosts_hst_acs_ngc0253-field01 ACS/WFC
>>> F814W (hlsp) NGC0253-WIDE5', masked_array(data = [4220 4298],
>>> mask = [False False],
>>> fill_value = 999999)
>>> , masked_array(data = [1.38892e-05],
>>> mask = [False],
>>> fill_value = 1e+20)
>>> , 2, masked_array(data = [2110.0 2149.0],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [11.9017 -25.2787],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [-1.06397e-05 -8.9279e-06 -8.9279e-06
>>> 1.06397e-05],
>>> mask = [False False False False],
>>> fill_value = 1e+20)
>>> , 'hlsp_ghosts_hst_acs_ngc0253-field01_f814w_v1_drz', 'Polygon J2000
>>> 11.947772 -25.282761 11.905333 -25.237039 11.855682
>>> -25.274707 11.898114 -25.320444'),
>>> ('http://hla.stsci.edu/cgi-bin/fitscut.cgi?red=hlsp_ghosts_hst_acs_ngc0253-field01_f814w_v1_drz&blue=hlsp_ghosts_hst_acs_ngc0253-field01_f606w_v1_drz&size=ALL&format=fits'
>>> <http://hla.stsci.edu/cgi-bin/fitscut.cgi?red=hlsp_ghosts_hst_acs_ngc0253-field01_f814w_v1_drz&blue=hlsp_ghosts_hst_acs_ngc0253-field01_f606w_v1_drz&size=ALL&format=fits%27>,
>>> 11.9017, -25.2787, 4, 'NGC0253-WIDE5', 'ACS/WFC', 'WFCENTER',
>>> 'F814W/F606W', 8, 3042.0, '2006-09-13 09:42:19',
>>> 'hlsp_ghosts_hst_acs_ngc0253-field01_f814w_f606w_v1_drz', 10915,
>>> 'ngc0253-field01', 'Dalcanton', '', '', 'ACCUM', '2012-11-02
>>> 14:01:51', 'HLSP', 6989.0, 'image/fits', '1900-01-01 00:00:00',
>>> -2208988800L, 'ghosts_hst_acs_ngc0253-field01 ACS/WFC F814W/F606W
>>> (color) NGC0253-WIDE5', masked_array(data = [4220 4298],
>>> mask = [False False],
>>> fill_value = 999999)
>>> , masked_array(data = [1.38892e-05],
>>> mask = [False],
>>> fill_value = 1e+20)
>>> , 2, masked_array(data = [2110.0 2149.0],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [11.9017 -25.2787],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [-1.06397e-05 -8.9279e-06 -8.9279e-06
>>> 1.06397e-05],
>>> mask = [False False False False],
>>> fill_value = 1e+20)
>>> ,
>>> 'hlsp_ghosts_hst_acs_ngc0253-field01_f814w_v1_drz,hlsp_ghosts_hst_acs_ngc0253-field01_f606w_v1_drz',
>>> 'Polygon J2000 11.947772 -25.282761 11.905333 -25.237039
>>> 11.855682 -25.274707 11.898114 -25.320444'),
>>> ('http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=HST_10915_98_ACS_WFC_F475W'
>>> <http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=HST_10915_98_ACS_WFC_F475W%27>,
>>> 11.901736, -25.279734, 2, 'NGC0253-WIDE5', 'ACS/WFC', 'WFCENTER',
>>> 'F475W', 2, 1482.0, '2006-09-13 06:38:18',
>>> 'HST_10915_98_ACS_WFC_F475W', 10915, '98', 'Dalcanton', '',
>>> 'Loaded', 'ACCUM', '2008-01-17 03:05:31', 'HLA', 4744.36,
>>> 'image/fits', '2006-09-14 00:47:14', 1158194834, '10915_98 ACS/WFC
>>> F475W (combined) NGC0253-WIDE5', masked_array(data = [6100 6100],
>>> mask = [False False],
>>> fill_value = 999999)
>>> , masked_array(data = [1.38889e-05],
>>> mask = [False],
>>> fill_value = 1e+20)
>>> , 2, masked_array(data = [3050.0 3050.0],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [11.901736 -25.279734],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [-1.38889e-05 0.0 0.0 1.38889e-05],
>>> mask = [False False False False],
>>> fill_value = 1e+20)
>>> , 'HST_10915_98_ACS_WFC_F475W', 'Polygon J2000 11.87717390
>>> -25.29535800 11.89640629 -25.28200592 11.87697850 -25.29587050
>>> 11.87759056 -25.29648032 11.89825680 -25.31706610 11.89831934
>>> -25.31702147 11.89893180 -25.31763140 11.94817110 -25.28247540
>>> 11.92689000 -25.26128670 11.92682706 -25.26133165 11.92621490
>>> -25.26072200 11.92600258 -25.26087365 11.90560880 -25.24086630
>>> 11.90555076 -25.24090663 11.90493420 -25.24030160 11.85576560
>>> -25.27444230 11.85638210 -25.27504754 11.87649930 -25.29479280
>>> 11.87655706 -25.29475271'),
>>> ('http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=HST_10915_98_ACS_WFC_F606W'
>>> <http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=HST_10915_98_ACS_WFC_F606W%27>,
>>> 11.901736, -25.279734, 2, 'NGC0253-WIDE5', 'ACS/WFC', 'WFCENTER',
>>> 'F606W', 2, 1508.0, '2006-09-13 09:42:19',
>>> 'HST_10915_98_ACS_WFC_F606W', 10915, '98', 'Dalcanton', '',
>>> 'Loaded', 'ACCUM', '2008-01-17 03:05:31', 'HLA', 5917.68,
>>> 'image/fits', '2006-09-14 10:03:41', 1158228221, '10915_98 ACS/WFC
>>> F606W (combined) NGC0253-WIDE5', masked_array(data = [6100 6100],
>>> mask = [False False],
>>> fill_value = 999999)
>>> , masked_array(data = [1.38889e-05],
>>> mask = [False],
>>> fill_value = 1e+20)
>>> , 2, masked_array(data = [3050.0 3050.0],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [11.901736 -25.279734],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [-1.38889e-05 0.0 0.0 1.38889e-05],
>>> mask = [False False False False],
>>> fill_value = 1e+20)
>>> , 'HST_10915_98_ACS_WFC_F606W', 'Polygon J2000 11.92689010
>>> -25.26128690 11.92682692 -25.26133202 11.92621490 -25.26072250
>>> 11.92600228 -25.26087437 11.90560890 -25.24086820 11.90555051
>>> -25.24090876 11.90493430 -25.24030410 11.85576720 -25.27444250
>>> 11.85638324 -25.27504727 11.87650030 -25.29479150 11.87655775
>>> -25.29475163 11.87717450 -25.29535680 11.89645734 -25.28197019
>>> 11.87697940 -25.29587070 11.87759135 -25.29648042 11.89825680
>>> -25.31706560 11.89831905 -25.31702118 11.89893170 -25.31763130
>>> 11.94817060 -25.28247510'),
>>> ('http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=HST_10915_98_ACS_WFC_F814W'
>>> <http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=HST_10915_98_ACS_WFC_F814W%27>,
>>> 11.901736, -25.279734, 2, 'NGC0253-WIDE5', 'ACS/WFC', 'WFCENTER',
>>> 'F814W', 2, 1534.0, '2006-09-13 11:18:39',
>>> 'HST_10915_98_ACS_WFC_F814W', 10915, '98', 'Dalcanton', '',
>>> 'Loaded', 'ACCUM', '2008-01-17 03:05:31', 'HLA', 8059.76,
>>> 'image/fits', '2006-09-14 16:27:26', 1158251246, '10915_98 ACS/WFC
>>> F814W (combined) NGC0253-WIDE5', masked_array(data = [6100 6100],
>>> mask = [False False],
>>> fill_value = 999999)
>>> , masked_array(data = [1.38889e-05],
>>> mask = [False],
>>> fill_value = 1e+20)
>>> , 2, masked_array(data = [3050.0 3050.0],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [11.901736 -25.279734],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [-1.38889e-05 0.0 0.0 1.38889e-05],
>>> mask = [False False False False],
>>> fill_value = 1e+20)
>>> , 'HST_10915_98_ACS_WFC_F814W', 'Polygon J2000 11.90555223
>>> -25.24091185 11.90493480 -25.24030600 11.85576830 -25.27444290
>>> 11.87650110 -25.29479130 11.87655960 -25.29475070 11.87717680
>>> -25.29535630 11.89640118 -25.28201069 11.87698000 -25.29587030
>>> 11.89825710 -25.31706440 11.89832033 -25.31701928 11.89893250
>>> -25.31762890 11.94810647 -25.28252025 11.94816870 -25.28247580
>>> 11.92688930 -25.26128920 11.92682707 -25.26133365 11.92621460
>>> -25.26072370 11.92600121 -25.26087611 11.90560960 -25.24087200'),
>>> ('http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=HST_10915_98_ACS_WFC_total'
>>> <http://hla.stsci.edu/cgi-bin/getdata.cgi?dataset=HST_10915_98_ACS_WFC_total%27>,
>>> 11.901736, -25.279734, 2, 'NGC0253-WIDE5', 'ACS/WFC', 'WFCENTER',
>>> 'detection', 6, 4524.0, '2006-09-13 06:38:18',
>>> 'HST_10915_98_ACS_WFC_total', 10915, '98', 'Dalcanton', '',
>>> 'Loaded', 'ACCUM', '2008-01-17 03:05:31', 'HLA', None, 'image/fits',
>>> '2006-09-14 16:27:26', 1158251246, '10915_98 ACS/WFC detection
>>> (combined) NGC0253-WIDE5', masked_array(data = [6100 6100],
>>> mask = [False False],
>>> fill_value = 999999)
>>> , masked_array(data = [1.38889e-05],
>>> mask = [False],
>>> fill_value = 1e+20)
>>> , 2, masked_array(data = [3050.0 3050.0],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [11.901736 -25.279734],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [-1.38889e-05 0.0 0.0 1.38889e-05],
>>> mask = [False False False False],
>>> fill_value = 1e+20)
>>> , 'HST_10915_98_ACS_WFC_total', 'Polygon J2000 11.90560880
>>> -25.24086630 11.90555076 -25.24090663 11.90493420 -25.24030160
>>> 11.85576560 -25.27444230 11.85638210 -25.27504754 11.87649930
>>> -25.29479280 11.87655706 -25.29475271 11.87717390 -25.29535800
>>> 11.87717661 -25.29535612 11.89634395 -25.28205042 11.87697850
>>> -25.29587050 11.87759056 -25.29648032 11.89825680 -25.31706610
>>> 11.89831934 -25.31702147 11.89893180 -25.31763140 11.94817110
>>> -25.28247540 11.92689000 -25.26128670 11.92682706 -25.26133165
>>> 11.92621490 -25.26072200 11.92600258 -25.26087365'),
>>> ('http://hla.stsci.edu/cgi-bin/fitscut.cgi?red=HST_10915_98_ACS_WFC_F814W&green=HST_10915_98_ACS_WFC_F606W&blue=HST_10915_98_ACS_WFC_F475W&size=ALL&format=fits'
>>> <http://hla.stsci.edu/cgi-bin/fitscut.cgi?red=HST_10915_98_ACS_WFC_F814W&green=HST_10915_98_ACS_WFC_F606W&blue=HST_10915_98_ACS_WFC_F475W&size=ALL&format=fits%27>,
>>> 11.901736, -25.279734, 4, 'NGC0253-WIDE5', 'ACS/WFC', 'WFCENTER',
>>> 'F814W/F606W/F475W', 6, 4524.0, '2006-09-13 06:38:18',
>>> 'HST_10915_98_ACS_WFC_F814W_F606W_F475W', 10915, '98', 'Dalcanton',
>>> '', 'Loaded', 'ACCUM', '2008-01-17 03:05:31', 'HLA', 6241.0,
>>> 'image/fits', '2006-09-14 16:27:26', 1158251246, '10915_98 ACS/WFC
>>> F814W/F606W/F475W (color) NGC0253-WIDE5', masked_array(data = [6100
>>> 6100],
>>> mask = [False False],
>>> fill_value = 999999)
>>> , masked_array(data = [1.38889e-05],
>>> mask = [False],
>>> fill_value = 1e+20)
>>> , 2, masked_array(data = [3050.0 3050.0],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [11.901736 -25.279734],
>>> mask = [False False],
>>> fill_value = 1e+20)
>>> , masked_array(data = [-1.38889e-05 0.0 0.0 1.38889e-05],
>>> mask = [False False False False],
>>> fill_value = 1e+20)
>>> ,
>>> 'HST_10915_98_ACS_WFC_F814W,HST_10915_98_ACS_WFC_F606W,HST_10915_98_ACS_WFC_F475W',
>>> 'Polygon J2000 11.90555223 -25.24091185 11.90493480 -25.24030600
>>> 11.85576830 -25.27444290 11.87650110 -25.29479130 11.87655960
>>> -25.29475070 11.87717680 -25.29535630 11.89640118 -25.28201069
>>> 11.87698000 -25.29587030 11.89825710 -25.31706440 11.89832033
>>> -25.31701928 11.89893250 -25.31762890 11.94810647 -25.28252025
>>> 11.94816870 -25.28247580 11.92688930 -25.26128920 11.92682707
>>> -25.26133365 11.92621460 -25.26072370 11.92600121 -25.26087611
>>> 11.90560960 -25.24087200')]
>>>
>>> On Feb 26, 2013, at 10:20 AM, Michael Droettboom <mdroe at stsci.edu
>>> <mailto:mdroe at stsci.edu>> wrote:
>>>
>>>> On 02/26/2013 09:51 AM, Andy Ptak wrote:
>>>>> Hello,
>>>>> I am trying out reading VOTables using and am having trouble.
>>>>> Specifically reading tables returned by the Hubble Legacy
>>>>> Archive. The query was:
>>>>> http://hla.stsci.edu/cgi-bin/hlaSIAP.cgi?inst=ACS&pos=11.888333,-25.288056&size=0.001389
>>>>> which I attached.
>>>>>
>>>>> I am using astropy installed by pip on the enthought distribution
>>>>> on a mac, so its version 0.2 and numpy got upgraded to 1.7.0 (if
>>>>> that matters).
>>>>> First, is there a way to have a votable imported directly from
>>>>> query without saving it to a physical file first? Maybe its best
>>>>> practice to save VO queries to a file to trace errors, in case the
>>>>> votable is very large, etc. but when you know you are getting
>>>>> something back that is small and (as in this case) you mainly want
>>>>> a list of fields for further work, saving the full votable seams
>>>>> like an unnecessary extra step.
>>>>
>>>> You can pass an http url to astropy.io.votable.parse, e.g.:
>>>>
>>>> In [2]: from astropy.io import votable
>>>>
>>>> In [3]:
>>>> votable.parse("http://hla.stsci.edu/cgi-bin/hlaSIAP.cgi?inst=ACS&pos=11.888333,-25.288056&size=0.001389")
>>>>
>>>>>
>>>>> The errors I am getting are below. I got similar errors when
>>>>> using a different votable call I found on the HLA website
>>>>> (basically the same except using acsSIAP.cgi?strict=1
>>>>> Is this a problem with the Votable being returned by stsci, a bug
>>>>> or am I doing something wrong?
>>>>
>>>> Interestingly, I'm not able to reproduce the exception here. (This
>>>> is on Linux, with Python 2.7, astropy 0.2 and numpy 1.7.0).
>>>>
>>>> Would you mind tinkering around in the debugger for me? Turn on the
>>>> IPython debugger with "%pdb", reproduce the crash, and then go up
>>>> two levels and print out "array_chunk"? I'm curious if there's
>>>> some messed up values getting in there.
>>>>
>>>> Thanks,
>>>> Mike
>>>>
>>>>>
>>>>> Thanks,
>>>>> Andy Ptak
>>>>>
>>>>>
>>>>>
>>>>> In [4]: from astropy.io.votable import parse
>>>>> In [6]: votable = parse("test1.xml")
>>>>> WARNING: W42: test1.xml:3:0: W42: No XML namespace specified
>>>>> [astropy.io.votable.exceptions]
>>>>> WARNING: W03: test1.xml:7:4: W03: Implictly generating an ID from
>>>>> a name 'INPUT:POS' -> 'INPUT_POS' [astropy.io.votable.exceptions]
>>>>> WARNING: W03: test1.xml:8:4: W03: Implictly generating an ID from
>>>>> a name 'INPUT:SIZE' -> 'INPUT_SIZE' [astropy.io.votable.exceptions]
>>>>> WARNING: W03: test1.xml:9:4: W03: Implictly generating an ID from
>>>>> a name 'INPUT:FORMAT' -> 'INPUT_FORMAT'
>>>>> [astropy.io.votable.exceptions]
>>>>> WARNING: W03: test1.xml:10:4: W03: Implictly generating an ID from
>>>>> a name 'INPUT:imagetype' -> 'INPUT_imagetype'
>>>>> [astropy.io.votable.exceptions]
>>>>> WARNING: W03: test1.xml:11:4: W03: Implictly generating an ID from
>>>>> a name 'INPUT:inst' -> 'INPUT_inst' [astropy.io.votable.exceptions]
>>>>> WARNING: W03: test1.xml:12:4: W03: Implictly generating an ID from
>>>>> a name 'INPUT:hrcmatch' -> 'INPUT_hrcmatch'
>>>>> [astropy.io.votable.exceptions]
>>>>> WARNING: W03: test1.xml:13:4: W03: Implictly generating an ID from
>>>>> a name 'INPUT:zoom' -> 'INPUT_zoom' [astropy.io.votable.exceptions]
>>>>> WARNING: W03: test1.xml:14:4: W03: Implictly generating an ID from
>>>>> a name 'INPUT:autoscale' -> 'INPUT_autoscale'
>>>>> [astropy.io.votable.exceptions]
>>>>> WARNING: W03: test1.xml:15:4: W03: Implictly generating an ID from
>>>>> a name 'INPUT:asinh' -> 'INPUT_asinh' [astropy.io.votable.exceptions]
>>>>> WARNING: W06: test1.xml:16:4: W06: Invalid UCD
>>>>> 'VOX:STC_CoordRefFrame': UCD has invalid character ':' in
>>>>> 'VOX:STC_CoordRefFrame' [astropy.io.votable.exceptions]
>>>>> WARNING: W06: test1.xml:17:4: W06: Invalid UCD
>>>>> 'VOX:WCS_CoordProjection': UCD has invalid character ':' in
>>>>> 'VOX:WCS_CoordProjection' [astropy.io.votable.exceptions]
>>>>> WARNING: W06: test1.xml:19:6: W06: Invalid UCD
>>>>> 'VOX:Image_AccessReference': UCD has invalid character ':' in
>>>>> 'VOX:Image_AccessReference' [astropy.io.votable.exceptions]
>>>>> WARNING: W06: test1.xml:82:6: W06: Invalid UCD 'VOX:Image_Format':
>>>>> UCD has invalid character ':' in 'VOX:Image_Format'
>>>>> [astropy.io.votable.exceptions]
>>>>> WARNING: W06: test1.xml:91:6: W06: Invalid UCD 'VOX:Image_Title':
>>>>> UCD has invalid character ':' in 'VOX:Image_Title'
>>>>> [astropy.io.votable.exceptions]
>>>>> WARNING: W06: test1.xml:94:6: W06: Invalid UCD 'VOX:Image_Naxis':
>>>>> UCD has invalid character ':' in 'VOX:Image_Naxis'
>>>>> [astropy.io.votable.exceptions]
>>>>> WARNING: W06: test1.xml:97:6: W06: Invalid UCD 'VOX:Image_Scale':
>>>>> UCD has invalid character ':' in 'VOX:Image_Scale'
>>>>> [astropy.io.votable.exceptions]
>>>>> WARNING: W06: test1.xml:100:6: W06: Invalid UCD 'VOX:Image_Naxes':
>>>>> UCD has invalid character ':' in 'VOX:Image_Naxes'
>>>>> [astropy.io.votable.exceptions]
>>>>> WARNING: W06: test1.xml:103:6: W06: Invalid UCD
>>>>> 'VOX:WCS_CoordRefPixel': UCD has invalid character ':' in
>>>>> 'VOX:WCS_CoordRefPixel' [astropy.io.votable.exceptions]
>>>>> WARNING: W06: test1.xml:106:6: W06: Invalid UCD
>>>>> 'VOX:WCS_CoordRefValue': UCD has invalid character ':' in
>>>>> 'VOX:WCS_CoordRefValue' (suppressing further warnings of this
>>>>> type...) [astropy.io.votable.exceptions]
>>>>> ERROR: OverflowError: Python int too large to convert to C long
>>>>> [numpy.ma.core]
>>>>> ---------------------------------------------------------------------------
>>>>> OverflowError Traceback (most recent call last)
>>>>> /Volumes/Apps_and_Docs/aptak/Dropbox/HLA/<ipython-input-6-61a1dc44cf49>
>>>>> in <module>()
>>>>> ----> 1 votable = parse("test1.xml")
>>>>>
>>>>> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/astropy/io/votable/table.pyc
>>>>> in parse(source, columns, invalid, pedantic, chunk_size,
>>>>> table_number, table_id, filename, _debug_python_based_parser)
>>>>> 114 _debug_python_based_parser=_debug_python_based_parser) as
>>>>> iterator:
>>>>> 115 return tree.VOTableFile(
>>>>> --> 116 config=config, pos=(1, 1)).parse(iterator, config)
>>>>> 117
>>>>> 118
>>>>>
>>>>> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/astropy/io/votable/tree.pyc
>>>>> in parse(self, iterator, config)
>>>>> 3084 if start:
>>>>> 3085 tag_mapping.get(tag, self._add_unknown_tag)(
>>>>> -> 3086 iterator, tag, data, config, pos)
>>>>> 3087 elif tag == 'DESCRIPTION':
>>>>> 3088 if self.description is not None:
>>>>>
>>>>> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/astropy/io/votable/tree.pyc
>>>>> in _add_resource(self, iterator, tag, data, config, pos)
>>>>> 3015 resource = Resource(config=config, pos=pos, **data)
>>>>> 3016 self.resources.append(resource)
>>>>> -> 3017 resource.parse(self, iterator, config)
>>>>> 3018
>>>>> 3019 def _add_coosys(self, iterator, tag, data, config, pos):
>>>>>
>>>>> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/astropy/io/votable/tree.pyc
>>>>> in parse(self, votable, iterator, config)
>>>>> 2871 if start:
>>>>> 2872 tag_mapping.get(tag, self._add_unknown_tag)(
>>>>> -> 2873 iterator, tag, data, config, pos)
>>>>> 2874 elif tag == 'DESCRIPTION':
>>>>> 2875 if self.description is not None:
>>>>>
>>>>> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/astropy/io/votable/tree.pyc
>>>>> in _add_table(self, iterator, tag, data, config, pos)
>>>>> 2828 table = Table(self._votable, config=config,
>>>>> pos=pos, **data)
>>>>> 2829 self.tables.append(table)
>>>>> -> 2830 table.parse(iterator, config)
>>>>> 2831
>>>>> 2832 def _add_info(self, iterator, tag, data, config, pos):
>>>>>
>>>>> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/astropy/io/votable/tree.pyc
>>>>> in parse(self, iterator, config)
>>>>> 2212 'TABLEDATA', data.iterkeys(), config, pos)
>>>>> 2213 self.array = self._parse_tabledata(
>>>>> -> 2214 iterator, colnumbers, fields, config)
>>>>> 2215 break
>>>>> 2216 elif tag == 'BINARY':
>>>>>
>>>>> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/astropy/io/votable/tree.pyc
>>>>> in _parse_tabledata(self, iterator, colnumbers, fields, config)
>>>>> 2357
>>>>> 2358 array = _resize(array, alloc_rows)
>>>>> -> 2359 array[numrows:] = array_chunk
>>>>> 2360 if alloc_rows != 0:
>>>>> 2361 array.mask[numrows:] = mask_chunk
>>>>>
>>>>> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/numpy/ma/core.pyc
>>>>> in __setslice__(self, i, j, value)
>>>>> 3067
>>>>> 3068 """
>>>>> -> 3069 self.__setitem__(slice(i, j), value)
>>>>> 3070
>>>>> 3071
>>>>>
>>>>> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/numpy/ma/core.pyc
>>>>> in __setitem__(self, indx, value)
>>>>> 3031 _mask = ndarray.__getattribute__(self,
>>>>> '_mask')
>>>>> 3032 # Set the data, then the mask
>>>>>
>>>>> -> 3033 ndarray.__setitem__(_data, indx, dval)
>>>>> 3034 ndarray.__setitem__(_mask, indx, mval)
>>>>> 3035 elif hasattr(indx, 'dtype') and (indx.dtype ==
>>>>> MaskType):
>>>>>
>>>>> OverflowError: Python int too large to convert to C long
>>>>
>>>
>>
>>
>>
>> _______________________________________________
>> AstroPy mailing list
>> AstroPy at scipy.org
>> http://mail.scipy.org/mailman/listinfo/astropy
>
>
>
> _______________________________________________
> AstroPy mailing list
> AstroPy at scipy.org
> http://mail.scipy.org/mailman/listinfo/astropy
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/astropy/attachments/20130226/d482af1a/attachment.html>
More information about the AstroPy
mailing list