  The step-growth polymerisation of a mixture of arbitrary-functional monomers
is viewed as a time-continuos random graph process with degree bounds that are
not necessarily the same for different vertices. The sequence of degree bounds
acts as the only input parameter of the model. This parameter entirely defines
the timing of the phase transition. Moreover, the size distribution of
connected components features a rich temporal dynamics that includes: switching
between exponential and algebraic asymptotes and acquiring oscillations. The
results regarding the phase transition and the expected size of a connected
component are obtained in a closed form. An exact expression for the size
distribution is resolved up to the convolution power and is computable in
subquadratic time. The theoretical results are illustrated on a few special
cases, including a comparison with Monte Carlo simulations.
