Modelly 1.1.0

Added

• modelly.profile: a runtime profiler. with Profiler(model) as prof: model.run_for(n), then
  prof.report() or prof.to_dataframe(), gives the time of each step by agent class and
  method (calls, agents per call, microseconds per agent), data collection and scheduled events,
  with hints that point at the matching lint rule. python -m modelly.profile model.py:MyModel
  runs it from the command line. Results are identical with and without the profiler, and the
  instrumented methods are restored exactly on exit.
• python -m modelly and a modelly script: one entry point for lint, migrate and profile,
  with --version and a help page listing every command.
• AgentPortrayalStyle.filled (Altair backend); extra keywords to draw_agents reach
  mark_point instead of being dropped.
• Three benchmark playbooks, each for Mesa 2.3 and Modelly with agreement and determinism
  checks: schelling (27x), boltzmann_wealth (7.4x) and sugarscape (12x).

Linter

• New rules: MDL005 wall-clock or OS entropy in model code, MDL006 ordering by id() or
  hash(), MDL007 removing agents while looping over the population, MDL008 global state in
  a model method, MDL009 editing model.agents directly, MDL106 DataFrames built inside step,
  MDL107 a per-agent loop that only writes columns.
• MDL001 also catches unseeded Random(), SystemRandom and numpy generators without a seed,
  and resolves imports (default_rng(seed=7) is no longer flagged); MDL004 skips __slots__
  and ClassVar.
• # noqa: MDLxxx suppression, [tool.modelly.lint] in pyproject.toml (select, ignore,
  per-file-ignores), --explain CODE with a bad and a fixed example, --statistics,
  --format github and --quiet.
• Detailed --help for lint and migrate, with examples and exit codes; docs/lint.md
  lists every rule.

Performance

• Moving an agent between cells runs in a third compiled module (modelly/_native/fastcell.c):
  one move is 205 ns to 107 ns, the cell-list playbooks 7 to 14% faster, with the same results.
  Subclasses that override add_agent or remove_agent keep their overrides; the pure-Python
  twin is used when the module is not built.
• import modelly no longer walks the stack to name its loggers (about 30 ms less).

Fixed

• Matplotlib marker groups are drawn in first-seen order instead of set order, so the
  layering no longer changes from run to run.
• run_batch no longer emits Python's multi-threaded fork DeprecationWarning for closure
  batches.

CI

• Release wheels are built on tags and manual runs only; superseded runs are cancelled;
  docs-only changes skip the build; Dependabot groups its updates monthly; the examples job,
  which checked out a missing repository, is gone (the test matrix already runs tests/examples).