No longer import cobra during setup.py

The version is imported directly by inserting the cobra directory into
the sys.path directory.
Replace Solution.dress_results with lazy property
create_test_model does not catch failures

The previous behavior was to fall back to creating a new test model
from the salmonella sbml file.
Fix bugs and improve testing of DictList

Specifically, the following issues were fixed (with tests added):
 - more robust pickling/unpickling
 - overriding copy and deepcopy now unnecessary (reduce propensity for
   bugs)
 - IndexError correctly raised when passed in missing Object
 - detection of duplicate ids in iterable on extend and setitem with a
   slice
 - correct type returned on slicing
 - skip uniqueness checks on operations which are known to already
   have unique ids

Other changes:
 - docstring cautions against using DictList.remove
 - pep8 compliance increased
Make solver interface more unified

Fixes #99

 - Model.optimize no longer gives parameter values by default. The
   defaults are left to the solvers.
 - Each solver has a _SUPPORTS_MILP attribute which can be used to
   determine if it solves mixed integer programs.
 - get_solver_name will raise a SolverNotFound exception when it can not
   find a suitable solver.
 - Each solver has a solver_name attribute which is used instead of
   attempting to remove the word "solver".
 - Solver options are now more unified. All solvers now accept (in
   addition to their own additional ones)
   - time_limit
   - tolerance_feasibility
   - tolerance_markowitz
   - iteration_limit
Remove deprecated solver functions
solvers no longer uses external parameters

Instead of importing parameters from an external parameters module, each
solver defines its own parameters. The following solvers were updated:
 - glpk
 - gurobi
 - cplex
Additionally, the parameter handling code was simplified,
making it more readable and easier to debug.
glpk_solver parameter improvements

The following changes were made:
 - raise an exception when passed an unsupported option.
 - Use tolerance_feasibility instead of tolerance_optimality for tol_dj
   and tol_bnd
 - support for lp_method as strings
cglpk supports lp_method and verbose options

also warns for unsupported threads and mip_gap_abs
improve cplex parameter handling

When setting parameters, the cplex solver will now convert strings
encoding the cplex constant to the constant itself. For example, setting
lp_method="auto" will cause execution of
lp.parameters.lpmethod.set(lp.parameters.lpmethod.auto)

Additionally, an invalid paramter will raise a ValueError. Finally,
verbose is handled as an option to allow output (silenced by default).
gurobi parameters updated

Now supports lp_method strings and verbose.
cglpk rebuilds basis on failure

If solving the model fails, the cglpk bindings will attempt to use
glp_adv_basis and solve the model again. This alleviates regressions in
glpk 4.51-4.54 as detailed in issue #117.
add progressbar
Deletion worker detects errors

If the solver crashes or fails, even when in a separate thread, an
exception is raised instead of using "0" as the value
deletion of 0 flux reactions already known

If an optimal solution has 0 flux through the target deletions, then the
objective value will not change by constraining those reactions to 0.
Using set operations, cobra can avoid sending these cases to the lp
solver and use the known wild-type objective value.