Tweak supervison-proto into line
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@ -6,18 +6,18 @@
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``tractor`` is a `structured concurrency`_ (SC), multi-processing_ runtime built on trio_.
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Fundamentally, ``tractor`` provides parallelism via
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``trio``-"*actors*": independent Python *processes* (currently
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*non-shared-memory threads*) which schedule ``trio`` tasks that
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maintain SC *end-to-end* inside a *distributed supervision tree*.
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``trio``-"*actors*": independent Python **processes** (i.e.
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*non-shared-memory threads*) which can schedule ``trio`` tasks whilst
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maintaining *end-to-end SC* inside a *distributed supervision tree*.
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Cross-process (and thus cross-host) SC is accomplished through the
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combined use of our,
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- "actor nurseries_" which provide for spawning multiple, and
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possibly nested, Python process trees each running a ``trio``
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scheduled runtime - a call to ``trio.run()``,
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- an "SC-transitive supervision protocol" implemented as an
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IPC-message-spec enforced around each RPC-dialog.
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possibly nested, Python processes each running a ``trio`` scheduled
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runtime - a call to ``trio.run()``,
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- an "SC-transitive supervision protocol" enforced as an
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IPC-message-spec encapsulating all RPC-dialogs.
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We believe the system adheres to the `3 axioms`_ of an "`actor model`_"
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but likely **does not** look like what **you** probably *think* an "actor
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@ -30,6 +30,7 @@ The first step to grok ``tractor`` is to get an intermediate
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knowledge of ``trio`` and **structured concurrency** B)
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Some great places to start are,
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- the seminal `blog post`_
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- obviously the `trio docs`_
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- wikipedia's nascent SC_ page
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@ -39,7 +40,7 @@ Some great places to start are,
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Features
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--------
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- **It's just** a ``trio`` API!
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- *Infinitely nesteable* process running embedded ``trio.Task`` trees.
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- *Infinitely nesteable* process trees running embedded ``trio`` tasks.
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- Support for a swappable, OS-specific, process spawning via
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multiple backends.
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- A modular transport stack, allowing for custom interchange formats (eg.
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