Hi Sage-Devel,

One of the goals for Sage-5.0 is 90% doctest coverage.   We need about
1500 new tests to get written to reach this goal.

I just went through the coverage output on the library, and found the
following low hanging fruit and "egregiously badly" doctested files
(see below).     If you know something about one of these files, get
one up to 100% coverage.   Put the title of the file in the trac
ticket title, so that people don't doctest the same files.

misc:
sagedoc.py, package.py, mrange.py
sageinspect.py: 74% (20 of 27)
sagex_ds.pyx: 46% (7 of 15)

modules:
free_module_element.pyx: 47% (50 of 105)
vector_integer_dense.pyx: 27% (5 of 18)
vector_modn_dense.pyx: 17% (3 of 17)
vector_rational_dense.pyx: 23% (4 of 17)

libs:
mwrank/mwrank.pyx: 3% (1 of 30
mpmath/ext_main.pyx: 0% (0 of 102)
pari/gen.pyx: 54% (211 of 386)

categories:
action.pyx: 0% (0 of 31)
functor.pyx: 17% (3 of 17)
map.pyx: 27% (10 of 37)
morphism.pyx: 20% (5 of 24)
pushout.py: 24% (19 of 77)


matrix:
matrix_rational_dense.pyx: 72% (37 of 51)
matrix_rational_sparse.pyx: 58% (10 of 17)
benchmark.py: 0% (0 of 29)

databases:
cremona.py: 42% (17 of 40)
db.py: 0% (0 of 21)
db_class_polynomials.py: 11% (1 of 9)
db_modular_polynomials.py: 9% (1 of 11)
sloane.py: 20% (3 of 15)
stein_watkins.py: 0% (0 of 15)


rings:
complex_field.py: 46% (13 of 28)
complex_interval.pyx: 51% (25 of 49)
finite_rings/integer_mod.pyx: 65% (90 of 138)
real_mpfi.pyx: 72% (85 of 117)
real_mpfr.pyx: 75% (126 of 168)
polynomial/multi_polynomial_ring.py: 36% (7 of 19)
number_field/number_field_element.pyx: 81% (91 of 111)
laurent_series_ring_element.pyx: 64% (33 of 51)

logic:
logic.py: 16% (3 of 18)


structure:
category_object.pyx: 25% (8 of 32)
generators.pyx: 11% (5 of 45)
sage_object.pyx: 32% (17 of 53)


plot:
axes.py: 31% (6 of 19)
plot3d/parametric_surface.pyx: 13% (2 of 15)
plot3d/index_face_set.pyx: 26% (9 of 34)
plot3d/shapes2.py: 29% (7 of 24)


interfaces:
expect.py: 28% (39 of 137)
mathematica.py: 15% (6 of 40)
rubik.py: 17% (3 of 17)


schemes:
elliptic_curves/monsky_washnitzer.py: 26% (28 of 107


monoids:
string_monoid.py: 63% (21 of 33)
string_monoid_element.py: 52% (10 of 19)




-- 
William Stein
Professor of Mathematics
University of Washington
http://wstein.org

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