Comments (5)
Right, that make sense. Though for the moment, please, keep docopt
and Maple parts. As for the other changes feel free to implement them.
from fuchsia.
Is there a point in keeping docopt_dispatch
? I don't really need it to implement these changes.
from fuchsia.
By default we could print both into stdout. Or, print one into stdout and the other one into /dev/null. How about -m and -t options?
Require -m
and -t
options to be rpovided explicitely, with no default output to sdout or other streams.
Also, how do we call the
m
matrix in plain English?
I never saw people use some particular term for this matrix. The term "the matrix m
" is good enough for me, if you have no better ideas.
The default mode of operation (that is, without any commands) should be the full transformation (reduction, normalization, factorization).
I would prefer to stick to the current workflow with separate command for every (of three) operation that should be fine. This is supposed to be a research tool, so that users also could play with it by changing/tuning some options and parameters; let us ommit one-button-press-solves-everything approach.
Is there a point in keeping
docopt_dispatch
?
It is simple and I like it, so please leave it as it is now. Instead, please, dedicate your time and effort to solve real problems and not to rewrite existing packages.
from fuchsia.
It is simple and I like it, so please leave it as it is now.
OK, let me put it another way: it is inconvenient for me to install docopt_dispatch
, and it will be doubly inconvenient for our users to install it (just as it was with pytest
). I can modify the CLI not to require it and use getopt
instead. All you need to do is say "yes".
from fuchsia.
Closing this due to 3f0677b.
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Related Issues (17)
- Project's name HOT 5
- Performance issue with `fuchsify` and `git_410.mtx` HOT 7
- [Algorithm 2] Avoid tremendous polynoms in eps HOT 4
- Infinite loop in the normalizer HOT 7
- Barkatou examples from ISSAC'10 HOT 5
- Permutation to the block-triangular form needed
- Release #1 HOT 3
- Bug with `solve` in `singularities` HOT 13
- 'fuchsia' binary installed by pip doesn't work HOT 3
- Multivarate dependence HOT 4
- NameError: Unknown variable: 'sqrt' HOT 4
- can not factor epsilon HOT 6
- Some unit tests fail HOT 8
- Different output when using Maple and Maxima HOT 2
- Differential equations with free variables HOT 4
- Transform out spurious poles without solving the polynomials
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from fuchsia.