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authorGeorg Brandl <georg@python.org>2009-07-26 14:37:28 (GMT)
committerGeorg Brandl <georg@python.org>2009-07-26 14:37:28 (GMT)
commitd7d4fd7336baca618eb02b9a7e862bd8452d8f7d (patch)
tree2273b0b04e103df5de2a4d51d56bcf20793f1719 /Doc/library/compiler.rst
parent9fa61bb37d68225c827aa7809382ea701c264db5 (diff)
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builtin -> built-in.
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1 files changed, 3 insertions, 3 deletions
diff --git a/Doc/library/compiler.rst b/Doc/library/compiler.rst
index 0093518..991628a 100644
--- a/Doc/library/compiler.rst
+++ b/Doc/library/compiler.rst
@@ -21,11 +21,11 @@ Python. It uses the built-in parser and standard :mod:`parser` module to
generated a concrete syntax tree. This tree is used to generate an abstract
syntax tree (AST) and then Python bytecode.
-The full functionality of the package duplicates the builtin compiler provided
+The full functionality of the package duplicates the built-in compiler provided
with the Python interpreter. It is intended to match its behavior almost
exactly. Why implement another compiler that does the same thing? The package
is useful for a variety of purposes. It can be modified more easily than the
-builtin compiler. The AST it generates is useful for analyzing Python source
+built-in compiler. The AST it generates is useful for analyzing Python source
code.
This chapter explains how the various components of the :mod:`compiler` package
@@ -118,7 +118,7 @@ for a construct, there are often several levels of nested nodes that are
introduced by Python's precedence rules.
The abstract syntax tree is created by the :mod:`compiler.transformer` module.
-The transformer relies on the builtin Python parser to generate a concrete
+The transformer relies on the built-in Python parser to generate a concrete
syntax tree. It generates an abstract syntax tree from the concrete tree.
.. index::