I'd like to construct a sparse vector (say a unit vector in 100
dimensional space) by saying
a = vector(GF(2),100,dict([(22,1)]),sparse=True)
However, this gives the error message below.
This seems like a bug to me.
Victor
ValueError: incompatible degrees in vector constructor
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "_sage_input_4.py", line 10, in <module>
exec compile(u'open("___code___.py","w").write("# -*- coding:
utf-8 -*-\\n" +
_support_.preparse_worksheet_cell(base64.b64decode("YSA9IHZlY3RvcihHRigyKSwxMDAsZGljdChbKDIyLDEpXSksc3BhcnNlPVRydWUp"),globals())
+"\\n"); execfile(os.path.abspath("___code___.py"))
File "", line 1, in <module>
File "/tmp/tmpubMoJH/___code___.py", line 3, in <module>
exec compile(u'a =
vector(GF(_sage_const_2 ),_sage_const_100 ,dict([(_sage_const_22 ,_sage_const_1
)]),sparse=True)
File "", line 1, in <module>
File "free_module_element.pyx", line 277, in
sage.modules.free_module_element.vector (sage/modules/
free_module_element.c:2312)
ValueError: incompatible degrees in vector constructor
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