Small optimization of cache during parsing

[gpotter2]

This PR contains an optimization of the caching system when dissecting packets, by skipping the initialization of fields whose only usage is for build. This only has a real effect in very specific cases, such as a succession of many payloads containing mutable values (what you'd find with LDAP or Dot11). In those cases however, the improvement is substantial.

The packet below is an extreme case, in which the dissection time is ~60% of the previous one. Expect only a few percents, if any improvement, in other real-world uses.

Full packet

import zlib
data = zlib.decompress(bytes.fromhex('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%timeit LDAP(data)

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 81.58%. Comparing base (1935723) to head (0121946).
Report is 1 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #4526      +/-   ##
==========================================
- Coverage   81.59%   81.58%   -0.01%     
==========================================
  Files         356      356              
  Lines       85279    85280       +1     
==========================================
- Hits        69580    69578       -2     
- Misses      15699    15702       +3     

Files with missing lines	Coverage Δ
scapy/packet.py	84.48% <100.00%> (+0.01%)	⬆️

... and 6 files with indirect coverage changes