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authorKartik K. Agaram <vc@akkartik.com>2014-11-24 23:59:55 -0800
committerKartik K. Agaram <vc@akkartik.com>2014-11-25 00:42:20 -0800
commit14b33e59a528b996f682110564182524d1503e91 (patch)
treef1a84fa1aabc0ad291998bc0c1333c84e6cf4552 /Readme
parentc1b2f17fcf02ce40aaf345880d928f6ee540f80e (diff)
downloadmu-14b33e59a528b996f682110564182524d1503e91.tar.gz
324 - more elaboration in Readme
I have different prose in Readme and at the top of the tests. Let's see
how hard they are to manage over time.
Diffstat (limited to 'Readme')
-rw-r--r--Readme165
1 files changed, 143 insertions, 22 deletions
diff --git a/Readme b/Readme
index 2d6a3f93..acdd8573 100644
--- a/Readme
+++ b/Readme
@@ -1,4 +1,25 @@
-Mu: a world where any manual test can be easily automated
+Mu: making programs easier to understand in the large
+
+Imagine a world where you can:
+
+  a) think of a tiny improvement to a program you use, clone its sources,
+  orient yourself on its organization and make your tiny improvement, all in a
+  single afternoon.
+
+  b) Record your program as it runs, and easily convert arbitrary logs of runs
+  into reproducible automatic tests.
+
+  c) Answer arbitrary what-if questions about a codebase by trying out changes
+  and seeing what tests fail, confident that *every* scenario previous authors
+  have considered has been encoded as a test.
+
+  d) Build first simple and successively more complex versions of a program so
+  you can stage your learning.
+
+I think all these abilities might be strongly correlated; not only are they
+achievable with a few common concepts, but you can't easily attack one of them
+without also chasing after the others. In this world, any manual test can be
+easily automated:
 
   keyboard input
   printing to screen
@@ -8,8 +29,32 @@ Mu: a world where any manual test can be easily automated
   fault tolerance
   ...
 
-Collecting all possible scenarios considered will hopefully make the global
-structure of programs more apparent. More details: http://akkartik.github.io/mu
+I hope to attain this world by creating a comprehensive library of fakes and
+hooks for the entire software stack, at all layers of abstraction (programming
+language, OS, standard libraries, application libraries).
+
+To reduce my workload and get to a proof-of-concept quickly, this is a very
+*alien* software stack. I've stolen ideas from lots of previous systems, but
+it's not like anything you're used to. The 'OS' will lack virtual memory, user
+accounts, any unprivileged mode, address space isolation, and many other
+features.
+
+To avoid building a compiler I'm going to do all my programming in (virtual
+machine) assembly. To keep assembly from getting too painful I'm going to
+pervasively use one trick: load-time directives to let me order code however I
+want, and to write boilerplate once and insert it in multiple places. If
+you're familiar with literate programming or aspect-oriented programming,
+these directives may seem vaguely familiar. If you're not, think of them as a
+richer interface for function inlining.
+
+Trading off notational convenience for tests may seem regressive, but I
+suspect high-level languages aren't particularly helpful in understanding
+large codebases. No matter how good a notation is, it can only let you see a
+tiny fraction of a large program at a time. Logs, on the other hand, can let
+you zoom out and take in an entire *run* at a glance, making them a superior
+unit of comprehension. If I'm right, it makes sense to prioritize the right
+*tactile* interface for working with and getting feedback on large programs
+before we invest in the *visual* tools for making them concise.
 
 == Taking mu for a spin
 
@@ -18,20 +63,49 @@ Prerequisites: Racket from http://racket-lang.org
   $ cd mu
   $ git clone http://github.com/arclanguage/anarki
 
-Now try a test program.
-
-  $ cat x.mu  # simple example to add two numbers
-  (main
-    ((x integer) <- copy (1 literal))
-    ((y integer) <- copy (3 literal))
-    ((z integer) <- add (x integer) (y integer))
-  )
-
-  $ ./anarki/arc mu.arc x.mu
-  #hash((1 . 1) (2 . 3) (3 . 4))  # state of simulated memory after executing x.mu
-
-Location z contains the sum of locations x and y.
-(You have to imagine that location 3 maps to 'z' for now, sorry..)
+As a sneak peek, here's how you compute factorial in mu (lines starting with
+semi-colons are comments):
+
+  def factorial [
+    ; allocate some space for local variables
+    default-scope/scope-address <- new scope/literal 30/literal
+    ; receive args from caller in a queue
+    n/integer <- arg
+    {
+      ; if n=0 return 1
+      zero?/boolean <- eq n/integer, 0/literal
+      break-unless zero?/boolean
+      reply 1/literal
+    }
+    ; return n*factorial(n-1)
+    tmp1/integer <- sub n/integer 1/literal
+    tmp2/integer <- factorial tmp1/integer
+    result/integer <- mul tmp2/integer, n/integer
+    reply result/integer
+  ]
+
+The grammar is extremely simple. All you have are statements and blocks.
+Statements are either labels or instructions of the form:
+
+  oarg1, oarg2, oarg3, ... <- OP arg1, arg2, arg3, ...
+
+Input and output args have to be simple; no sub-expressions are permitted. But
+you can have any number of them. Each arg can have any number of bits of
+metadata like the types above, separated by slashes. Anybody can write tools
+to statically analyze or verify programs using new metadata. Or they can just
+be documentation; any metadata the system doesn't recognize gets silently
+ignored.
+
+Try this program out now:
+
+  $ ./anarki/arc mu.arc factorial.mu
+  result: 120  # factorial of 5
+  ...  # ignore the memory dump for now
+
+(The code in factorial.mu looks different from the idealized syntax above.
+We'll get to an actual parser in time.)
+
+---
 
 Another example, this time with concurrency.
 
@@ -40,12 +114,59 @@ Another example, this time with concurrency.
 Notice that it repeatedly prints either '34' or '35' at random. Hit ctrl-c to
 stop.
 
-== Now dive in
+---
 
 Try running the tests:
 
   $ ./anark/arc mu.arc.t
-  #t  # all tests passed!
-
-Now start reading mu.arc.t. A colorized copy of it is at mu.arc.t.html and
-http://akkartik.github.io/mu.
+  $  # all tests passed!
+
+Now start reading mu.arc.t to see how it works. A colorized copy of it is at
+mu.arc.t.html and http://akkartik.github.io/mu.
+
+You might also want to peek in the .traces directory, which automatically
+includes logs for each test showing you just how it ran on my machine. If mu
+eventually gets complex enough that you have trouble running examples, these
+logs might help figure out if my system is somehow different from yours or if
+I've just been insufficiently diligent and my documentation is out of date.
+
+The immediate goal of mu is to build up towards an environment for parsing and
+visualizing these traces in a hierarchical manner, and to easily turn traces
+into reproducible tests by flagging inputs entering the log and outputs
+leaving it. The former will have to be faked in, and the latter will want to
+be asserted on, to turn a trace into a test.
+
+== Credits
+
+Mu builds on many ideas that have come before, especially:
+
+- Peter Naur (http://alistair.cockburn.us/ASD+book+extract%3A+%22Naur,+Ehn,+Musashi%22)
+  for articulating the paramount problem of programming: communicating a
+  codebase to others;
+- Christopher Alexander (http://www.amazon.com/Notes-Synthesis-Form-Harvard-Paperbacks/dp/0674627512)
+  and Richard Gabriel (http://dreamsongs.net/Files/PatternsOfSoftware.pdf) for
+  the intellectual tools for reasoning about the higher order design of a
+  codebase;
+- Unix and C for showing us how to co-evolve language and OS, and for teaching
+  the (much maligned, misunderstood and underestimated) value of concise
+  *implementation* in addition to a clean interface;
+- Donald Knuth's literate programming (http://www.literateprogramming.com/knuthweb.pdf)
+  for liberating "code for humans to read" from the tyranny of compiler order;
+- David Parnas (http://www.cs.umd.edu/class/spring2003/cmsc838p/Design/criteria.pdf)
+  and others for highlighting the value of separating concerns and stepwise
+  refinement;
+- Lisp (http://www.paulgraham.com/rootsoflisp.html) for showing the power of
+  dynamic languages, late binding and providing the right primitives a la
+  carte, especially lisp macros;
+- The folklore of debugging by print and the trace facility in many lisp
+  systems;
+- Automated tests for showing the value of developing programs inside an
+  elaborate harness;
+- Python doctest (http://docs.python.org/2/library/doctest.html) for
+  exemplifying interactive documentation that doubles as tests;
+- ReStructuredText (https://en.wikipedia.org/wiki/ReStructuredText)
+  and its antecedents (https://en.wikipedia.org/wiki/Setext) for showing that
+  markup can be clean;
+- BDD for challenging us all to write tests at a higher level;
+- JavaScript and CSS for demonstrating the power of a DOM for complex
+  structured documents.